From a0be12b7fccbb7ba46ca7b9763d040aeb214d552 Mon Sep 17 00:00:00 2001 From: zhanghao-njmu <542370159@qq.com> Date: Fri, 8 Sep 2023 17:27:19 +0000 Subject: [PATCH] =?UTF-8?q?Deploying=20to=20gh-pages=20from=20@=20zhanghao?= =?UTF-8?q?-njmu/SCP@8996664c75c208c4d3ccaf19a6931577fc970480=20?= =?UTF-8?q?=F0=9F=9A=80?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- index.html | 18 +++-- pkgdown.yml | 2 +- reference/AnnotateFeatures.html | 7 ++ reference/CellCorHeatmap.html | 26 +++---- reference/CellDimPlot.html | 22 +++--- reference/CellDimPlot3D.html | 24 +++--- reference/CellScoring.html | 6 +- reference/DynamicHeatmap.html | 22 +++--- reference/DynamicPlot.html | 30 ++++---- reference/EnrichmentPlot-19.png | Bin 107035 -> 106965 bytes reference/EnrichmentPlot.html | 20 ++--- reference/FeatureDimPlot.html | 20 ++--- reference/FeatureDimPlot3D.html | 22 +++--- reference/FeatureHeatmap.html | 18 ++--- reference/FeatureStatPlot.html | 8 ++ reference/GSEAPlot.html | 14 ++-- reference/GroupHeatmap.html | 18 ++--- reference/Integration_SCP.html | 60 +++++++-------- reference/ListDB.html | 39 ++++++++-- reference/PrepareDB.html | 10 ++- reference/ProjectionPlot.html | 2 +- reference/RunCSSMap.html | 27 ++++++- reference/RunDEtest.html | 56 +++++++------- reference/RunDynamicEnrichment.html | 26 +++---- reference/RunDynamicFeatures.html | 6 +- reference/RunEnrichment-2.png | Bin 226412 -> 149520 bytes reference/RunEnrichment-3.png | Bin 252548 -> 164011 bytes reference/RunEnrichment-4.png | Bin 228031 -> 226412 bytes reference/RunEnrichment-5.png | Bin 0 -> 252548 bytes reference/RunEnrichment-6.png | Bin 0 -> 228031 bytes reference/RunEnrichment.html | 89 +++++++++++++++------- reference/RunGSEA.html | 46 +++++------ reference/RunKNNMap.html | 2 +- reference/RunKNNPredict.html | 44 +++++------ reference/RunPAGA.html | 4 +- reference/RunPCAMap.html | 2 +- reference/RunPalantir.html | 4 +- reference/RunSCVELO.html | 22 +++--- reference/RunScmap.html | 26 +++---- reference/RunSeuratMap.html | 2 +- reference/RunSingleR.html | 26 +++---- reference/RunSlingshot.html | 20 ++--- reference/RunSymphonyMap.html | 30 +++++++- reference/RunWOT.html | 51 ++----------- reference/Standard_SCP.html | 113 +++++++++++++++------------- reference/StatPlot.html | 2 +- reference/VolcanoPlot.html | 6 +- reference/db_DoubletDetection-1.png | Bin 136833 -> 142354 bytes reference/db_DoubletDetection-2.png | Bin 154621 -> 153908 bytes reference/panel_fix.html | 8 +- search.json | 2 +- 51 files changed, 556 insertions(+), 446 deletions(-) create mode 100644 reference/RunEnrichment-5.png create mode 100644 reference/RunEnrichment-6.png diff --git a/index.html b/index.html index d8881928..26d9eae1 100644 --- a/index.html +++ b/index.html @@ -5,14 +5,14 @@ - + Single Cell Pipeline • SCP - + e0EXBvGTZD ze72Ild}O?0gJlriy~BC!g~lK7xTLuXnVsoZrI@#Rgrmu}kI#uah@}N6hy|td)`~nx zU6H1ZeKMHb4rmt5Kd&Dg!$JxgK#6}O^mOmRNX&*{ZEH_qlq7Pvv z^n(P{kBtF57cX3Ji~cY+uA4Ywy4?{9b0x2tzdwn5IEJy9Wo@Q&kwnD={DnU``AxJ~ zN7HDZoD?WOF0qpPS{a5)^PXZ_;-&m$4*>PlY1`~9(LXGUIwG@V{3bM62B-u0pywT_poMNuuBJ0h~I zhld5{wM@+PNcbMAty0xvBtU&g#NH9A2mQ>IcKOI}O$j>k_A^k?w}1-1YGjq%`CgIx z{bE^W;vReRAHgPk`)KQp-WwxF+znv{-^8jfb9?OGzS;t67GkHD4jnl4;Y%e55}z>? z8ode{9Z|ueine;0Q9=ZyOiVZaZ7hPvx#8;piH1WJ0O zZ2`y_d01Z1p%R>wgjdiA>4qh`gp5Gw@RIw%By*wLUG~V4RMM;e&2chQ)aAr+p~$Rb z<@?y^ja#j9-4$BQ6&|9-=mR-e`0@GB{^2~)fuPFNh#IqOtplEIm*2d3vww%m^&5@i zoqVSPo`1^kKQr)V%Fk<1 zn4>idcFCiD5FH%l&gIh=S$_K3V%Bw|DNpTY7ABSDX8*e!feM&!E-C<=TI~EYU!O+F zOkv6Q-EdtY?xU}?P9jk$Ml^4Pm%5y?bkn@_TlqL?^`O;iM*IXS&qXEOqz`-`@G+cl z>Z)V_ljm-ekDFv%1SF_D4|N0#s5oJUam-L)rFs*RfOh9rTjJp&cxH#!XD3+}b0-LY zUKy8>-b1~>$In{(uf*D-V-xg%saY}CCW`Xz`N~b|Y(2!h#?CE1b0eFnwL3D4Id}#d zh6pg8I4Ak@#|Ybm5lUJ(l_$sL=y?h^%!b9yBkoaW3vmL+yfSD)I-mev@ERvtqdph1 zRI^-HCOY*80w~XI4H{#g)Qw4h?C#AtkH>2bUvOHS&uqWZJF!KSdD=tjG1|~$@tmnN zV#7{cw;*-98Y=41*jSkR7ZUGrD0qj)pL?ECK*cjsxrnlA9u#jtPjlb!EmX!3DDB>m zzf2ToW*yS`{jao3ab|$(=i%8Y<~?x85ZDy>bO6~pn_#zE?Ty_J!BGlMtf{TjeicTI zYcFU49>_(GK?<~_8i@9sU!F&5%zz}FUAdm3EcNT+&yItrW^IK5nqXd? zdEGPzPD*UHI?P5n5o!&7rv=lxNbfO`bXfptZt4%l2Pj0xrw=ok#HK_FHOzyIPByba z!ih+;+p?AuN{l|tZdumC5&?i(Y5(wfxp2N@6k3+3dyt_DjT=FoNan~RSwIrWMMZ<` zBc}jAh#^QR0WDBIzvaxjtIslXj5c?iRu%52wXFq24UwL8;o*mWOb#mtZr^P^J zfmEK(0 z2#?a+4!`^fy3?pEZ^+C7yyXW*&C%zx`ilOr`nESUlCv! zB`4(fL{A3(V8UkN67*150fcDK%I4jnkrGEdcMy$7#XkGpL4HdxV6EYb^745#8cu=m z8DrEW$bO;QHETVBRB%0H{U~laPQP3fc_7pLptMX6~HM0Ko7e4$uXff#i+Y=8)* z4Qhjkrop$4VuEWj0Dc)sG*AOIEf+DqSY&RN-Tct-<&VY7H_xq~uNQ9!@@zz^2N1XO z;`9UEblo!V63sO2yGXydMMX7%%_7aMMI>{=*#Z3Xk?{d!F~qZ#->^6d8txQiTtpa+ z)Bzey(kzTllRl_*p)$M#f#!`n$12fQPwa$SU>J@OU?~tCq#_KV%_0m~1d1^tha{mK zd6me9#np=cGkB_GNzspho#qT=-Jy#XRi+1<``&HhyetChw)y$1I1^S?6o0O^3Gk%HeeoQR4> zifDm>5#rZ*n z4IOJbrc!%0$2PG|l|jiF&1M|XFH@HP>D(^cq1pG7@g_9Jv>G#lM>?S`G6i02&4WtE zj-eOl1}D*l$xQ3I^&@jYA22Nr!T=p8n2)I6|1Gnltz%_P!FQMJ<)F;{!t^K~&?-}3 z2QAD_syqH948Sw-8>b;_=tUAvi$kfySZoL<&d_V?LV|<0Kkh&Kbogge(a6K3zFD6S znL0X)m7gt=c~{KK%TZwD^6o`|>`k-q`0#kMNX_>#)`Ovu2GwzGV+p1g@=my4i<0Md z7GC&lm9*MA^$mNDQ_N>)AD0|!u&+`!~kqZOZ6~tSgKd?L()Wv0DJ`T6640;S#>f7?)&n|cPwzO48M+Z(Z z4kvbJ5NCGv9*O@4|1THLZ)a7L&#NXsix4!{XAf3`UkZ1a94v1O#n-`LDP_?gd#l7k%vB^~ z34uQmb^6fIkQAy6K{Q3AX+Ky1`6iqfV`tDFLA-T)9TfvxoNP)YVV%iY01cv1&D-X4 zD*~Gjb6k_+_$anE^{eObtt%C0WYt}&{@jlGV^AeL#?-X{)B_q#TB@pk05ve(>;w=+ zV%3L}F$lm+;g;H#BdPTZq=FP3s!fHoE-72@wrN^}eedGLoGS+iK%f0k`lrvI%LQfC zFWE1KxhGy?ZD?3{1MwFe{pB$mfjGw%Lm-NgGK#^$NzSk|dV(RLWUei=4Xm&dRpt$| zXh@4Rm|eGS-En+YS6E`a0hkC2!8SSS0Tbi8 zyG`wlnqS%p5+g(eJxy0dxP`%m_dc$068_2hxBeHtz66@fzTNt+ zG@*ecgvwMQvqDix%1|L=p%4lc8B!4y8KXp!jG1SNjEO?#6qzcD$UG}FeEX+*&w0PK zzOU6<=Xu`a!T-L0!*%Vwuf6}8c&@a?Wt!D}E<(#+a3LUt)+_1@@Tx`Iz!-3v=ux!JGW1>q5)p*|TIB5=y1 zS-O;4RFnZOwMbzjrb$2v7E)4iv_4x*4`K=^bf%A{s4W9M*=x%fP2?|b5yWp9A zYU?2EiQi4(XVe#J}q7&@pfRK z8!Fn9xG9Jw<@*mGhWfiu1nfXQPK?G@)Mu~p!?rNd9^_&CK09j+XhJvJVl71ivEdPD zSFVDni={@_gXecNJ8_4Wf+e}N3!p`;uIO-qI|noD2eda`x-{}p7Is7(JrgkUL>L#b z@gf2WtlW!{9kM>qPtmi8P|%1d zIymGsJp<@@1H%`eK_|V$G=L3^r4U>7zTo02%&E2H*={CA%UGzL0Bx90+|^Fb&UJmD zo$PLy{w%I-N>(w+5UTYh)WO)GcpBAj2=|Mxz|UIc|JQ8t zf+x5S^_K0aFD(5Dm)(Nc=nN^J>>8-8tf8;TEhy+h<6a8j%Lt~7oh6G9!2W=jFJ3i7 zqpzkNINm3450ooP3}aNjxk!$~i$vZXfM?P`MWLJmvGv1g7uqQ1IikwUkTof%N9aXV zLc%iaC;SDFfVdR}3LuW-%SlM0}W;rfP ztm<%rETB-@K7K$G)7FRGvX~-vxUleLZV$W_g$fFJDUof)aGjj{pX2r_ek2gqHN#+x zhN5PP@n6kw@0TxdQZ9ZoJv=;|3us+$p>m>TG>$6xhd;**t2;UZih{iPI;x!z+1=dS zi_lRlrk4m~>zA805TXee0C*7f`Lpgp2%hnDtn8}W+6 z0lsZm{1p%LhV*n8RpTiuJiU1F;<}%|jwP=++jk!&A;}FSnWbbwVsv^jOlmjYtt3H{ z(85D!u~aOC9%rcddfPpHx=-y?LsXaS*s()hbkQCgo6K6)FQ!bi?s`AZSR%>gE89m` z=iX!SZ;?FYIb2{hUC4ryy5Ij;T#QDdL3VJMeHzS*;eGBtXWaEP=JAF)_AgL%I9U8v zNc(pnYU$1BxdJJ_l5iCw>PSs~cbY1cdMSL4kD{ab!wk0Et;_(jjOexn6qGtQNqKQ$ z=C|_-GHRRg6ADEw_&@|G$F^X0XLUVbmK!K|v$}$|MkF|7<8Ff)#4qxah~X^!u=NTD ze*sj-WwV%q0i=f1#UQ*N;<+g}GN~=kb;t8Cf0I3|T*=e7}5uAqMIYh&pk)b~bk@-mCqjV(sTC}aknVmqI1P76!8zhI-R zEC&qpG}~QWsbm*A)ic@03hL|;HBeYssE}QBafA~yvI^fmASkop?0L9R0+H~s7(nQJ zWaP#MXSA`b;QLlLy+g{!WXjNZSDW3Y16Ov>8C$yT7UXkG6za;}j$MoL#`KH%SuX?q zT1KSw7`1E5m)dRGqJk^N4U=fpmP3aP3LP7)Tv~k%k)4a)CatMeO8<`YWdG*$q!$qXxD5f=s5A~m9YNO~H+4I4c&m_*qJ{<|;2H}X7h_{C9IkG2 z@UM|IcVGZ1Amv)dG+gehnvTp=m!cJ_ILsBvVGhdN)1`bOe0y|VvBuf%N#OAlkb6(rzg$C}_R-SNxH*BDWz74DHt3 zK*Do#aL`&#z3BsKuI_AD;BcsAyFpB)9rI_fa7GerL-`?f5;+P{YLU20?#tNoV-X;` z%nblhG(coZS$OY9c+n;_cWxmLz4Pf(&^nY_qR4s)eI!Le2Y<0mQ2qi|@bL0>SPo>i zZRg>kq4*oq__(4Uxc}#x$6VL)c5n}jVXoVte()rci`?HJzVyzz47EunG+BiHEH5it z-X0gsn5@bFNn-#eg7Lzh5G}rjZxgaV6%s=7VZ*{dH6tSKilcx&^2y+5b|KE1;)h77axPgGz%$*N( zKKy{~mLjYR_uW_T9~!!a8!@zA;P|doF(8p^gboBN$C^o+FX#lBkAq~3ePgs-j^pLa z(OAn+@D%O}6~9(3zD?RFab?CfsBcQIUoc%hh0RKBNsW*O7*jA8)Aj;UdEcW<@cM#& z9VDg6CUNmKd-@hSE7X}CD{f}swNsrF8467h`WM&2j=Q20w;A(rgtYAvz=+8i_w_Cz zwHD<^1v-VTyK*olDJe@$ucydc3IuwY~u-muew9xF^Y%WMU1s>ru}R3P7ptgI{& zb{K^X+yd)>(T8a0?l(g^0I+K{F}bp)Oe^-wt~}+Ik=+MQXJ2 z>CGg}^S-1dGi)CGVZXF&2-U)!@NhpE^D$vtJ3_M0UsH&j zi~0<|XET3+AY~s@RYhNxYmm|b%38nP2XxwAzPo$5?vUt2mJXbCit_TM`+hFldnz47 zI$b-`;kAbApZIrncJhBapn3Nnp0IL0_Z^>R?J$}t5~WBy#&Mx2a9va7yHQ-c+t6uj z|0gl)NQtpr6f{|4G(pSh=w2Y+0A;Eu^iD8~$Ism(6wECp#R5Ba`F7+C7`?N+gjXOM z8ilmB%jh&;eE7h@=tYCS;o;$=<~OSkzlAlPY_k^aI3CT{_j%%){6VitRwpKP-5|HX z1-N_$HeD@FVfS$4s<(v0pbaMbo9-NRi}?sON~&BjO7&9uS~0BSeSph3`8kseaiybb z$qf;6e&1#_jxQiv0%W;723JX1L!zcP`-EZYo z&6loe+W(&gMbxR}I)SxN!Zcnl$zz1&1lMK7WCUM>V-p2mpF9M~rrUgG{7)=$C}O|k zj@{2ufLBkB5&`}3c1+*_0P)IaYC*gSwDHU6>7TT|3&12uBT2h|4V#93u# zi=hFyoS>U9OBw|N#+);qy0>jPvf4nSp~tf- z9N|>NBx(6{SFDB?NYc+};D|>#3_#GQF)%T?0iJ|E_s2c>4XviRgOtahzafE2k2axSy)Y zr6uH7MIR9D!Xqe*PYIMdyJd&E!M}oCnutl<_7^3g0n*krFyIg3LM;c#U2C`lNg1fm z1tFbi^%w@G6^RB3utobm*l{(4ptbJUkW!x}a1V zHAULW_;UQ8(isZ~E0bR&HbMgBKJ?^?1d`IL2P?K5$G97@8jFhx}Q6N9ReI3bCA3Q0}s2<_dQ-b^<)by*hS zDI{Xc7#7X&I^70Y4EG>>fxm6Yeh;KI-^-j)TB+-K7M95W|$d!>LW%Pb-gTT>pFS=JeMvq1_M|I zui}YC6D_U?N_k!BddyAuJmTh>-Hmev@2m{_S|D{rTJr$XTG8=XwLMvmp2XbQENO?- zjX$tW0%t(wsg`0Fmu#Lrzsw8W>6xT{N=Y6P@;2aDsGiDm=O6*pPQu;3rRd5Id_NBy zM8};Eqw9fm#~s`s1EP+an6|3dKL1-Dsmp%G0Z*1V1_W&_h77zu|2F#=R>twLj3b^S zd3&d-Jl7nI+Kr(6yubY{8|N-ZSAby%4d0Wh{o=HQe5?iu^aC8m3P{R;L+DQRzes1z z3Rz6cV)r*)R@JKJ+hdW<`B?D^_Rst;+tbr?^ZD~VLJt&AE%;Buf;B4D@7RnK1?K}2 zhu!npQ-3p3l!^0-K7yASn$-Ve-~J*fFmM^U8%P)g-6NY@Kn8JG7s$|KEq46_i@7{h zjvQH+b8)E69kgH`!l7>~$L0b+7T&t~!bU{c+)`Xb0RTfSy*+%d=C}Wih`Z~Y%afrA z7H6S9sH}X!o<$-10kW%cO%fb65}*URj?u|Uk~{-E6Hn*{!B>&6j;V#TmBFug|GhU) z_QU62)3rPE{&J*|6Y`C_%*$$Pv*6x zYg1)Pd6F3Z=Q)TY+}A;b4LJUhH{&an2bD+J=$Cv7uq`q?|44Fyt9J6*I@VS*2{!kM z*d_}D_FHEG$h<&NZ1XMcd%b!H#2ue;K2`wZc@5prW`zTq6aQW{c8z2yDymU9C6t~N zS>}&3gq(zqa6@^G!5;~W#$}XsZyg7TQSL2KRU12&?fKZxj^lq&9BeycF_Xdy5(c z$-nFIR0EFgC{2F+C0VpSXK~R4D)VAiBbk>E7|Tl-JKndD=4)DIT>dz9d(+QL8@ZBH zkfA|P@lRKA<$#(weQ`Hh?Q)`G_;giMlL-wf2P3!op+EV6dNFVN+!P*gpUctSlXiZ5 zV&V=m^AK)DKCL1NwV0^_b7Sv`P4p)w(9DN7gufknvZQT7I_yUU!D$qFpzpb8FLi3E zXjhf?`r~uba-N?2PtSMA8C?NT%_3#px$heUa5tg$t}^aWuxGFwh0I1hmOZaZOlR@$ z-9#A{es%Ut@>zbB1dUpq>AXa*<)<&m`mN&PswSyYR>-N0ton&LWD4(&a)rE#K!;kx zcN5}1)BlYij6N2L_XPz>Ia)Z9c|=Mpz;%#LJAAXp-JyygYqZ~P%CYij?J`kWK>#Sd z=>k_f%st(QQ0VE9>IDV{8ee{ST8RBQK7HWRQ>zz)p6US7p{P#uegGhJ?A^2nDo=?a zCVn;UQF$mA$eKiC!Dj%!J24lo&k=4Q!FCHoR+8xVOB>BKlA90)`#85gT;Lo)x{sF! zwmD(G&CDM;eG9?WKPM~*fTt)l=33stuMENeFysiVADBi4I&+S=m{`*L4eE!==Ruaq z*F20~8Qbnw>a!>f;aOh86H!o9G{)m5_Z@E1jX~qZX26E>&`&Wz!d#A~>^cd)hKj`D zTPALlO?d^-vEmVwAQBX~0O=&L00?97zSyOs;nNzuFE!(uOKy~$abD9z^Mjd$sUH>v zJ76RlMd*Rcht165MjxWZ4;gxUTB7vXJlyn?i`;my_T)ereG|_b%zXy%Y9JOZ925Ud zV6fsBeT{KG^3@m!vG1?Grue7?JuK2ERsty?Gy*;nz~rTnb|`#%q>%`$kb#Zu*qQZ! zFuJ=>k=$BG0O2G^QsVS$3hV}E21>9+fi(Pn-P?SptJA2$^;qgnFnjV*t2q&w7*n=* zDW)ezM!SN8LFb^}{?WDJH>t-udwP~2-ibhcq(ehL=QST+cCIRGGK9tz^1?10aR)F? z*a=h@1Dz+KXhDK<`s)e+>KRa4*o}PTK+%E9^d+e8+YcUC=m<)F$vWQJ8^zz%g{NHl z43fxp-%ohkYubL}_z22L_7g4LkowXV1s{4lI9=Fg>3PIquR|J2z9&il#Zm8GP*7k{ zkq2)!wRSskwt0^vA4v| zxAf}UGA|(cIM)abkhLAC%E7~j%R#XqY&%QUAV2VsgWwX5}#LL3P(S37gL2;Bq0e>)=8JUILwZ% z>49%T&T0%Fooj45w-^%LmK$agE^M~_TLzpm1n@II zV^mqEC0&z$EZyZNUHz^JdQu4iT&W-CxnMswF=1=JEZbX^FZrIR_FDAjh@f3ck%Ttl zV4U38fzH`|2%;a&MB(TMe!o9sgWoy2Yr4e*7YGf7eco0$co@I|CX8v+W@A$^jTn@( zO;GU3{YHWF(2-%kcr{ zX5$VRNtJ@_LF}Bt&u2~AX>8n@;)5THP|yBb zOse`>1TWQ62VGs=pgHcO%0ERyJjxle5U5VDG}>z&<&bZeu9#8)GMtzggK3t}&gGK6U}(_=ZWW~Y($#eXrU;xsAj#Kn-CBZw^TVM;KtkwC ztY6t|xYW%+4pJPNWN&oRz}aRDJVmL##HTdemdUVy5L>)f6)#_QVsLBKhh`|5YSTEq zJv|eYPb)}r&X>yF64)$jaxlMQo;?Km+RRNbun zeuM}$?mWk*10IITa1Y`}f~v#=o1wG@X-V>fu{D|e)*&EL>8jmzGUuBrKaPDmoyN)CeJn15_xRMo0=vG2kxyb)soRfD zPj4^C=f-T%cNZU7BDxVXqC{+aR8iMR^C(6?@RlU%m{(_@n)X7WNN@wp#jL^c}lM6qqXY z90ElJ-jHOOmHM(v*e^M~txm;exx-&JB|@$gwC{TFcL45jymEz(?jt#Yk&(&Vo?lR4 z0yBwHe>uYOV|1pbEqB&AIrX6^zzq$zQ&%n>OMkP$)+*?0qA)4}Yd8!y47EQwGodzh z9)&RO8U9`8jy;G6C89lt*hOjAHye&t9ZhZmewJU>3x*q&nYZ5*dVFom+)#@*F>s8;x(U1+Ne-oAz3!up(>#4td(CRsuhkRP=@KUlF*zs#ywC|) z0Zx%z$1yHU99g|H!$zc(i(duSYCn!csf(8*3XEa(h7H2}bq~5RRKk!0$Eq{gXHi=a zJQkq+%T}Z1s>L+%v9VstquTcDxtHms#=q0LFT`CWb$N0N(d=N=7(>yEy`$y#mKn8J z@|X$_#~p=CqGXoA@#@Gi%EU9IK;KJOtF+NBm7{ zwu|mPzoXNO=v--cJKoc|rz^B|Yhp${82niotEuCL$PKRDzo5DWPMVLI9}!9{Rohah zV;YeZ*Sa$zioJ~>o5D+CAn^;~i6wEKFeY;=XVUfKo zK^Uta2g8DcJtimZ2>5KK<3q)|Oh9Yf%vPYb@ecPN@b<7IMji-XfFD520d99nqCMqe z!A!FPpiZl4Kt3w!!EKnNp!1P4J$33n@AO~nfr=IPtTtl~cCHlv`Pf`$QS6{kLh6H3 z$y?w7%!Y}+O*!^Wk1ZJl@ZfdC`otQ}z+4p`Jq`RSpiU9p`82Ng2Q>EE=TiEmtfyG4 z%g3N0@`8Xf66*$dBaSNq zWT8n{|9k&pxbObXi$WmKZ-SjdI@}|4Bc;DEjQQ!Y`f;D+AciY>CS=15jRzmSS4^W} zRog5ErG`WH#cV8ZqvM0Y99M*XKH&rB2XN3KwOpv@XTrZvxMx-Ic&%#!|K`b=mS!B0HPoVmSuGOs$eoG(f6YiYraPKqX2H<>7ai z-y^@hW<^62(mEx@(E@ebk?`jX1BWyAtZ&PjF%m17v^(>}OVwiCz$0Rfy)idhCVD;h zN20i3U}QAbxuBDh`40xehesn?0Vp*V& z`?K-y4>AmLo@=naW%arpml95=SKT4;aK_qHkYE8v6{P{^LvY#YYIL|e9$ijut}kXKNEOBAHh;2vaJ zL#&1iL`_3uAv7CU<1nOHgq51|RAq{JzO>QY1^|mb(#~`Mnz_Z)D7-po=P)$5F+Uxz z&g+;PkC4#e7NKI}LdfWt888^Vy6Bb4S%f9Kxd(z*zr&|h?O8b1U;&&Tg6({-{}H>t02FU$87_^{Bc$s_K8ihlL@n~ zlgjGIdAuQ4g6&YyI(b`3)FIFu;1-tdw&0G=ca5MyFPB94!BXRcxR*GolNi{gD4h3D z%{@>1RmEJJR0HlI1D6^VdxA!F;McuN7_nRscs0|{&o5`-dp0ovrUIXR1So&(Y-m{6 z*?TO`ESHN6b?GfJ;=X<03CW)rHqo?am%2=UpD(4X@v?mx%jD#w0!l?HFip;Iz4?=O z@9NWvx)!LxEkysGl~pb0<|Q38z5Eq}6Z6uQZU6re7_ zU$spZ*?*b_uqv)V=-wJ9CgDV1)|-;^>-EtvfH2n20Oo)0xAuHhGJnuTTWkuhCbu&6 z9J0$%xQh|7&Yr$OgDaMm7(4$j=JtLVnLEkSvo?jWbE_4G5A`&|bg_B}vkL#DV1u!D zGyrbal6VSUC<*J0cjEtxf>>+D(KMT80fCIPi(NPK^0pRv(yC3_boz=y;st!w%`H{$ zf#0sH|9Ia9^?$tY$eq;1^%l`>KU%ZRop9gW!}&!8{u(O8z+#yLf-nIUt`$ms8Y6d$ z;c*JYETt)f_$bEU1LXDmk?iTqBDxU2+&U0`mS5;yxT0sh=V||>?QuS-MU!t-N*!9Q zc3nYp^<(I~3p&Xk8};MT(HB6WO%Eh<_m9yVueXbdy)oVZ%%%eNdc3>HxXfSL_Pln* zW2CtE_4N^&?$gK!5elYh*Ih8rn^om>W)i-_^dWh8G;doJmSNlY5se~9ADuD?Wam9k2UpkW~kTnH$taI};Tq@0HW z*IsPVF-#~DINase%w|ZfG|#3(*_m|nw+3dy)w9o_1chs84JVwFSzuCQrn4J+j799! zGUV=}V_pQc3wj-NJVZt;CuevX11h{V_p?qx6vqM^G;0?~I+m?m$^2|o89foo6m&xO zWv^^UZ8zxM#Q3N|_mfYqMxsP=SS#*w+BttncVoNoweT4|a$gI|4+F9UKo_I;K^5nS zcGU*{J1g4{cHh&iALi_(!R0MO2MpsB#KC|r# zaY-6!>{|E#qnn2;1UBj3&HJ1+ux#3I6@^XdCo+e~(xo^WnB@-OyaYD47qIk?A3xj# zcvBLEO=5)J^x2^jD6I|b>w0H)MkQ9m32+{XL?%C8;%pm)hlEmn2^`Z6V_igSUUzjX zuHilNJdAoa|8c9-8sGzi!-Pph%LBkUvdIA;UFrJsg+|%8^o0m=EBABqsCrf-Zhv>E zTN(E5-Rn@MZ#X0T`Af0yz|<`597m?7DquAmn6`fkIIjZy4dmR>O{~8~;Bw@RR<+e? z-I_Hf6Gi;>>RrzpOip47@hb>b_loL|72`hbQvKgy1|^TQkc7-WYzP!hXgb=gjvvkI z&pNJ!CldK&&J+`o0q!F#RrNEWv)dK>qv2JxQt^>`V`|EnrY(t$t>Qg%m%f)PY_^Le}AY2i^(WtADz z7WcO%f_`L_D2ver17$@$RsnGAc39Xgw3E_N^p0)&bPM=U4HNY`w2*E0EkwABDsD4z9&$yN6*01R?x6>+s@+ZGJ8r`nFp8_g1Z`GI zk&1%ms{6lgKdo?Ny<*+!-q2_TcmYgt+R8`TW9Z`uUaHCeg@rrm#otcl5)N*NvGhyAaT2BJia;!!CX-iBY<%&rTlS2OfKSYW^uGXnsQowq^@)%H&~GDk{LGL=OzX z{`^90O1l4{g=KTYM*3Il4+HD@4!*!(o;J4mr$|&-8DA^Rn6rM*a{tSdQ&|*SLewG( zb$Njl8y4F@e|>SrpC8xF*u^vSdKHGM9<}{hZ+{5rHUIfe4zn! zt?}G2)wCBHaf+ZOb`){nG0BFMY$pe-3Q#|f&UPp z>~$wkUe`&1#1>=oi>c0$k$Rf+Wx(#`uU?g-FndpfZnun~$qKR|78ATQJcuUIA7s)2 zfAk?F01L+@A@M}{EcqY$x&O-j^kbmW#@5DPqODJUVZ)lLO^3f>hjn7-mCaKODiZVJ zn>^3M@oOv&qTXG1U>|un*$n^QuY%Ai3AQ^yLGCdzJTWmb8>OXL@vB`2Ar6{!3=51z z-jUQoeGY!Sr9YPjUhA#+hST~S3-7#TmvdqPM6c>z;p6RXji_7#w?YghZ)Yb_?#D53 zeVLbM0-wo>zbqryIt^T=&~=QW0O$m+{})!?x^?e`3t}J}Xl|6anulLn0+9t6cu!A@ zf0J_-TYv-zmTm`#^Jxs1Lm^~QaJ!c!99Y!8r8N&E>CT+N8C_djyB|C)nS+i5j}CP6 zMtZt1AkCYg6}s?KUjm)lCie|DxV$QM{L@P*#O3hxZ_J~5UirlQpQ*KD??+N>waQOR ze8#XnsU7e{(1MUT8E`x%C@@f?_2dwX@h;yhW8 zsollcGAmKF;7T*bRRTR%HfynV@_u}1k_tfRSR#Lh*A|7VgivD`P4e{j_W)BeP>=2x0{&mZ0ug&Bo@9$|efR2+9?*s^+o=Mh5jmFaGLaBz0T4tUzR- z-$8|41^~6T4X6Y;*73WS1bCPohkO;Bue)&p0e3 zBDmIjkKa)msm&`vD=Hp5xC}oD>H)fe&F<`Jk&zT;RB&;pXB-gs z#VoF-6YlZU+wZq^#6gEiXbp7PDSYP_oczP!JgGHlzW^5(6r^2fpS6a4*j1v`D8it8 z{d^EdW!&G_h^6fx?j}4k&`m1!>msOnbe>ghO z=;JR=Ic}&4L1wV*IQQ`FiMv@+pY<2SW(5J(x`mQ;0R?oL=l~(i2%TC7OSfI-;50F| zk_zi!}&b~gqK1--sq;#~8>wQjhgN_xL z4$3EN7ydBTvl46#DAzvyLQmKbxpxtI7znXWLeNKeU~d0i#+ggbV_>7vB0E6}I~<)6 zkIXPMyO^<4KZ_C2!lI)6-<;8$G}uST%E|(H+4TNA=4C{3s$AYpUM?Da;md+6q?G>5 zaRRmiC2DY;^oGGTufHMfZ7sfah z#~KFde=~O3FTwN)@{PE@5uO8RUxp<~1-^SAdFU7d*^TC~C~VF}O779B(+WXFPTL;g zH14H$p*c{2s{}S{oJ zOKE64A8a+3X_w^Xja42CshhQgoS-QOQ<|%DQVlq$F7!Y#KX?C|EKvs!ibraFgL-?9BGMAxMAoGCpkaE672#S=~PNtkMQ zdV62TFM?Yj14^u@S~!$lgHu5?L16q^wb*Uas;aoD)du5{7-K8V$*%rV_R{=;+uiC^ zm$O+@$Eb~eAbe;7d~0(|!T($3oWa;R{4$MgI_`bj-NW0)$3(jrra(gZMK~rj5*4tz zS95UO0<>)cvWZ31m#FU3jYvC+pM*NUwl2F*ifQ7hmnZuTUN%xQdiFCwmXl&oz-*DtMigG4^F=W=ZM0n% zojtVw{&>JXhCdS0*6i$RkO)z~%NPp!9!+DWK%RH~BvDkDQp_f<8-P^Trl4LiM(PM~~pAA(YUog&70C0G0{ zTWP=sLtFfb@W8Phs1uT3*G)biMaj}KxIc+EFCg zAG4Z9ij%;6Igig%hCZ5sg=JZg@?x9{+b41b8B`_fagw>61*87oKa>X?^&iZ&jrp0tMEn5Dt+u@n7+=8 zc@~f0VuIvbRx|-P=!09Q*`g1 z1AI|q_6F$Ozb&&01;YOyN+e1ON(2ZEEuF6t4zxA+&)mOF9%c3|{|& zK%u%Rz$zFm*zZ^jb^=GdA2jMwI5yJgvkeJff&?EwfPC^%YEU5%Ap-a>ynqS}41iC_ zG_7XN3i*PwkJ|Y3gWI3|Lgr+^uB+v~FA$@3kA6cl^ibM%^pnR1`Q#?9KZsmTOI>~a zDqL{<+6WQ&l52oDlupzgL<|LB9TdrRINF!=+maEMO;N{=65j5g{1ULCb{pVfMzkJj z`}_pV807fv!R-NkT!kqXSe7u64}u#z5~`H1AB%QE$?gt-s$DQsJ%UUx;^k1U0o&2) ztiKJ56b~F*n9Qp9fTD8U0R;s=P4TPReDez0cvudu#cdD5>Qq)LW@?aVh&6xOrWkz@ zu~0H%5K|$gA?TdRuMJ&MCTYuYEcpR902lk#terqZBrm!(+Ej8c1O}NEMx5>6?zdJrU zR~%3u`n|#Bd==j&cZFlrqU&xey|2?Qt6KbtR`GV+8-+s8#cGAi3}4dfs9PntUSQbY zryj_+Y>W5C>l=&KZIVb_&bz6SZ)frD@oJ|Xn@sOo-4`qj_pgxSGs>(#8nc zi4bITL3Lz5i_!HdxOtIW#__2sE$D*L0zN{!rUU1QM!*~@s%LHv67zLpoQZ~;WX#um zZ$~&U87aiQprNX&>ZNjc5yt*)RuDU&lXoz7*)x-mq--OWbN)J@5}oGSt+tayWTI5O zf;!j3!x8`@o1Bwlnlp;md*@Zbp3iU!6w8&38Ro%OHXoI}JziKrk$>{_@*U8|Ab|UA z>NBEIw;V)+Y>D;2CVSZ~%^AU=29Z(=DAy_Fp5|)&0_2aY(_fQr{Il@>ztQtR`kCfU zOvzV_YP>&1EM+OR6z26FlcB$IWPAmB+yYWoE}*Pe{7tGImFkG3vYa)&WReu<9%cHW znrec7P}+sS)8s#;9QF6)z0vkKnTOJ$FRftsG5p$}Yx%7uUXc{#ZwWmOthKf(T?PXO zH>q_#-1*~a#lJ4keD5w!t7>l6AXmSgek0mr++8zt2+$wbv(MnOBHcAH$_jdI0 zUrbFswuI8X@#oXH8aI8^)|#>lYckSj=nYCba%*V*Kf5_^3J05~WMx`yj{UkE+{j2}DCXZ4W`A!F(rTzBlccM> z24{C+koZocbR58!sbjAomX{00uh@J{{rAZi0UpvSzUsVq=~DReDB}cq2k#Vw19*#t z32?#B%c;I_lVNgfT-<{Z9ncR=pQurh-O1$B=eFV4S0r2>4@uB%gIfY@i;{5}0o3>y z0HIqz|kT5;K2^I%|VDI<+rb>|S8b33CXgMQJ|H7#lt7;o;@Z&SdwtD^olL|&T5%5PR z=5`w88$O{W$mSQMT-O!gnxDeF<{3=k5;J4~7GVqhk=1Nh!Ey04I2hWME8l_GgG-z+ zB5)v*Bw-t<*tAgP`WP*tTtCat|BM^-FJ6Q3*`$<&EM5Rnk+||7B%6wz5Jz$=LPhazQQaO*&Eh>?7oHVY^*^Jr+fi z6Ni?;;OYAdK5#A|zQed^^>OCqM^DtA6+-3MM4T!xS8xRXF$}~IC?=?8g~jj&Uzmd7 zjR+F|0!W=0!s06JL*okk<*gkgBMWbZbm$Z5@dpg!V7%if+~+a)kwCPIP-rh^6DYRb zcsIW1tJlOk1Z+Yu2CB1=6TxmI#R+d(+uAw3<*J%hPZ zoI7x0q5_D7J5Fe9Js?C$@V>;L71S*$EqIkkYSz@tHAhbMg~A~lUM()OfYjo#Hw~vR z+tfGP3!(CELIS1GfX;1|0L)Yp_f>;wC*+Nj2LaTSWZMMt@bd5^AP@PRf7o59VG=Mr z+fy$e2O`T7O5j;2^ix4b<;#Ze>~-DT^R==*6Pw^z#>u^Y>1Sac1kkG)v_m6sm2G;D z6@vJ+s_at&q;@+-V6mTpP$eJ+k6s>{B<2G&)F_iSazrRcz`0#D)B9G*p2{&;?xEmS||wYKrZUfIZpggyHFD@dpzLO)AqF> zRBaF$afFLRsdR3_annPak9Bea$WV_Z1dx_ztL968c-S4y>tOnL7NQQ&`W+0g#YM zB217(?!rbC7O6PTj%AtMLSmDkl8nnQvOPX=6>Uhfy^rsQ5UwO3b4vL2;DSv|_MiR! zbp_|KO4UITx$#%r{fO*xa&nSD0}{6Dk_KcE$|@=(>FROKMTmoSoSxxVe~mVjY+u}0 z{D@^l1kw*H@KPTxA0fFBSwB%>SwO!5c~ZdJK8cP{?3B}3H^>|eJ#NxdEsZ)&7pUi>*x4jA zh#Ux{{ z4r?uR<-Ddm40t2S*gJ;rgt2$fSieJAS=)PIHl#AJS-R6pnz`cAfFC*!Nl1gyMBfP< z<5hbiJd(KFi0|*hI}+( zHP3ik!TQ!d=m(M|Qe2}@2T=`tsJ1Jyo_L0^f_2q42o{URLAWOX4ziZS5;hdM zN6B#}sN5}pph2XU2-&Cw&h22{i?)pG*N2*1&C8JUR*)*`k&05(FFD41J+D;}l_4vmNs>8|}n8+fgnP3(UR&CjF=P14(RCL7M zpLn?k#GrM;4YpY&;&b>2syZLdRn7QgMWigRyK*f-3YcBN?<383k+-tG{s>6Ds;9## zJ9mj5NUkFhg~Ym|m=2j<=lNcV2TjhvwpSZuRPC5#SN_S?m94az!m}0*@LSYB|NiSN zXPA_YJo+6?a6+}+SNF2qjKaZhdI{}*rB#IN6*%K&SB)=LLBjeo;3v-LOGvOgX;2Md zoT^ujWv%wis~gwm2gj~k=PL5?cAgGY>L6%%DE~E{Bl5^S+HDZnCV(KJ)Mt>psiT~0 zH|e$iqUr!g1Q}p)$DQ}d%hLwN;L1yHm2>&!6mI_-*5sYjBjz42jQIR`iATO!XoPcT z)z+C4)u^l;uc2Zj2TOpMkh{a7s#B<^v|)+JW6Glk(>`xrW?Z>AF)hKgkW5?HnFW~a zYQ>&|VLB$?>QO0L7;QfHG5%x63SL+I1s^GoQ2~#Y#d#%H$aKoK( zMCx|WD20bS3hF&e9Q%{*b|ds#8^k%WlZbW3*Z%_RQ!rD8&bN7nc=svW#9Sq5)a;Lb-}) zKZDygbZed#RPa|_S@E1Lg=9UAy4KKm^T^^@&zru|6JlN?Qv^z;0g|NQFDm-_pN9baY zTAV6tR#*ouZ*x-?4sSg}f#I2VDE#1zacSCyn8+mJq42}y7+}lz*qAy5_l+Q@$N_`B zotq-K$B6jtDa8N}D6r3)gvCWXd~KL!TK0#S*j)9yX>=NA7dhjJ$uUlJvLy7%Z8&yM zFgl+Pi3rT3%>$J${mh~NWhHw=v39Ffj=oEr_<*opo)&REgKj0u7r>g)z5TDecAntN=Rdfu^ZLD8TV9RS zUoULN`{$hb@Nf+f+@}>nr#Vb9M=^2n333{2e_wa9)U6mW0xy(S?xszyOva(yw1 zuxqXHxH2xoaK>BHauf}gSph5y&JEqoY~oBGWW{^R!w*TS(TTJ)+6NP2p&Ka^uu%hozH zt-k@>qux1*43{^LuqlzrZm<9xy~WFt%*y(_vbq z1O!N2rxldGCYsb{Ou&7;qhj^JpyW$skfD2+iH(yVI8z-|{Ir4ZYmX>Bh$wKf`jOWM zLVKflo=#x*xpUC^FmZAUZT+3R2sqs~r8f9iRdkKUAcP`hL~pN7mZ1;6q~=@o(Mkh~ zcj@oXWF<6^X-L8Ll^)#n9z^lf!Yv9DP;3g;9R}fIrrvs46UrA1WZS`?v))vX^su~j z@O9j+!bJ4M@4@9 zv%^YoRc1Z;V6b)vlqgE9JKpI%IjtV$?*dff0~r-mRwhY+$PfR@RiC&;>~1xROq_q2 z688i?S%jQNZ9^hSmEM5np)0Zw7rzFV{V52DyIa4(4~N7#M)@6Oxm4S5H^Sud<@`%W zvmj#-@5p}*744QcV`2u0GbL95{vF2T7pm#J@QWlvmdvCn^|xmA2GOsg)M)166WU57 z?cnwidnzvMVh?auw#H$aan&&DMcgPsc)m%%A1oj=x!3Xf6oy>P=K0*@C1>z+;gFPy zCXC7abXjyv{Wr`qLRhE#EO|TWV4%)8Se3i0AY)1pe$3~IBU>`4LiV}X`1sz-cjK>* zzhsx4k)Hkj{r=QlOgRRd>yuU(P2R&^8|AhiokgUufe)5amDDP{y%?0J>l6+BC^uUp;elX*QCFAWto2+a!zT}!QyS^Pg1x6*`ktmnr z=km%1dX^6C!bj0N*A^0z>+kPhJa{ua#H)Rf)3I}bGsu{L7yu1h{gbQrFN3 z0GgD9&r&ijOuv8{&ia*(s*@5XA@mQ1YPyy75{1!am`?MUHV(3*7;T?B3|lp_;duH` zK43o8+Oil&F7w=q7RYUqQK}P%{y-j*n}Pl3?>%*2d;I2%AwoMyKkUiCJw6DzW;($J zURPwcT9He@;$2E2cmu=?Btx$wJ-vdSz7cMtVPAR^ws^~sM}RrJH}H_+RlM3VagdgDx(@}%QCCZa>l$KWraeEK&0 z{=O6k-l*7o*|Eh9KvKwZZ6)xD_SY&PAGq6k6-V)SVc#K#5J@?4Wc5Ae)VUrJ5rJW; zBq;V@rv^nLpQZsdRXlDIgKJ-RrSsH3MG^{$VLM*o?d#hJQ`tn^dt4k@kb2-;2t`4B z*D?Yq7Ow9m?i1S`E&RfNutTSwKunxEM9D9TK~R~FuD~ZVC2W}Sywz_1@y3lC6YRV!6dwd{jauet4p$qG%!qo&oc9pj-Qdfr^1``X5Zl@^FZkcSWR*e7z zxy8W1<+7k$^33<|r=eNKl)yu>Nzt_=<98#(0&pmDD*{|OgVqshf?^W(oPL-;uyLl% zYWoMqOz;`(hhx=Q4(K%_oTozw zT>+dN=V~$v7+eF_04T$&1pPT#K1Y@gqR%p3252ii>_ea|z|?JCT!b5qA(E zzE~Z<-o9HMSh40OkZe@Out28{&TlnhqF9{Ut4lE|egcr+Q!$CBlLO61i2pASNi)VG zYzy4d)!q#Zpe*H_C=y{Ox>~*{Fd*n8#%dK~6aKngLAlDxsvjO>p4ofNheJ zTJ1TeDG959Ap#o3?>ox#?D0Qv{=W#4c~p<0%K9Vg1k{=p!y4%>=yEKiI@$J-%aG6| z_tqbHqJJP|B`BX{#=l?AxlS|Dw`r4Z8njaL*#DA@KVRNy6O^o=RBZZWr`^{`@JPqk zzh0|Npv0l}=6(^1YNqCsB|w%W!#toBN}mFp`X)wzj`WM>uQfo8O~AUJ!1W>d#g
v*z+cKWGJTbOHVf;8{#VvxSQ*TGuZN=QfO( zvB-Uf?uS2tM@;fQiuP|VxP?34y~r1Jp2e<$~O#zZ{ZdBluX7hKfHV^;6s9 z=w~dWs&h|O0&tdgTT2Q0C3Mp*TXx(3NV#*@-Me>9S#IJN18{oi+O=x|Jn?VOq+MNN zZJ(jXK^5LLVxi;tU~bP&o~Cj*uE##uvjG_JZ z9Z)yf!I?wp4XA{^wZXrSZw1f4av9 z3#%?@EK`R3vgFU6Pk;Fy{PTaUoBu_u{V#q8$tBdsN)g}10mE4`glwUB>mhaxf?PSY zHV*T>$uG8!;gu2!VE&atkw9K41Q1#XXyYNLD$b8=vWW3YQ6&YESNauIbCwiWw=vmC znKH{9H~e8muxJdbf`!l9FEiv75m7_$^hAa}UH>RwL;rJZOiTifcM|YDLlR$dqwdqa5P5>Co|qew%rs!+0xm8t z1kELv`Eb!ULtNXcxLmb8Xd`c1X)mQlPO+3PRQjgJv6Ot20fOM+a61a2Xqq$Hl{k3! zyfQ0r_)UKck(H?bKJ*_)@);@rp(_>aNhoZGk>OOsfeogYhH>umIQ}jM_@4~8gha=M z|HLmC3v{55cE9^B!6&U&qS{LrjO_apqr4|-8=43FW;)@O21?`xX#$VLdeg?8YvLSA z6DZ$;KRR};0O^*Avf>oq#h-*cit7%+?E+#V;`{}~X8%3Zwgke17D(uCgBD_3fzZLd zV1)^11z#{&0BxL@0^o}QtV`N%$GBRC9H2iqMD76Sc_QKJ!w;basvlIIp%VAIsB^@L>Vvj+oSX3&?`A}NXqO4BL7$F_d zNv)DoIdz~^NbJuq+57$P-S2hn>w4$%-&E^a&-485`+I-C-}}CUpHSf}5qg-+idd(~ zG+i^ZGh?!Hz+WN<(T^*U5$28xN9}<5H|qIdN5&xuR*CtUN8m3VX?~IE-e%5FEOMbP zhh4TFWp529mCZvJ#u{JT(yO~}?+@nC8kAHEZEbDC>N_x(urZ!-Q64NS$*ofdMs?yz&tW-L1?ufvPvM4$=+1n&vztUNo~gk<37db z%^mTpB-nTg3<8o|Ecb;@pv}P0-5a0tRjruhRQ8}|Z*WNLVF^aJiF_cIB9rU&gHNq6 z>h=@xG)0M^v?}!bMWui2P?L6Uj}o243`7O9(nEY&lGmz=ocw8Hy4owh@Xy8*9z5X- zhB8?tr75%CQmu~9=p(kqi2zJH;vBJ5E}2v4xX4gV-tS)*3fWe|<5xA*EFqlf!L`oS zb6up*J3Lg;djB6iZTm@XeBHP2Nlx4h8E1MZCoFLA@J*xF-E&IfIUF{&&sx~8`{og! zv%_Ut>(?cfD-X|Su6|ez_1UJ0Cxk;jQSkc`Swcd>mpuloa-CA-KK>vpjuhIffk7$A zpW@pKU{eyj^Tx#m;p}ck?<|Cm-uCOSrx-<)LaF|m)e=vsVyw4yx%`jzl-DKO#E8N= zdYwOEl9na+2}VZe7Cx-s@Y^p>4{z5pHc)(o)nCunCYu4Fjl}ySw5*6fD9&JfkCT6n zce%g01fxy{jmyV@L#KFV0y|Rud*B5Z^&=``nlK}fV%!lm6ozZm%-gLJbC$|YmX)Vl zWw6cEA?jDlTrnFTj$pQ|Ak}kSBi@^bJI;6#+k}8B6Pg7E2HOF1Z&bd!DuE_-PI)$j zm%LJ$C)gY=VeaToFPD9O;tt8GoTMucTpR}$A3F=^y|%o517r8LD#tf&`AX}SpsS;D z99*r6vZS}G*N-pcBN6}pc)okad0~S^#rtSS)8YcGh~nkeB^*=93YwK;E(YT@ErKG$ zfgk@@jm=+u_9xs$-d~r*BF%8RVhzPwQ+JhzN!^89!*1O*jHj$iZw%8u4dWCL6cow> zy}HN7fE8j0$_hNPCcpgg7m=!{$Hb-I`l9E=L%@w#IHE4({WjTi0qDMw__Z46w!=rD z?zw=zFD*ZRX=_vwg)cIIPfM!&Ug-3f4g@L@0)-P#(pH$W1x=PJgSizqS#pQ-$(q1r zWd9{(8-}&;U;P`v_8N0aq~_Fmn=?pUX;)d_ucjc8C3?H85;|INN zy=~o2yyuD<5Cblgs*)dI2wBFUQ2HWQE(`2F>D7ZJZT6W-TSOh{#H1?IiVu{HBZZk! zKWu-Rg#1le5{DPwTK1ZGSr%Yz9c5G?(3O4m(t*lG_A;oOJ9RH!5uf@dvC~Vx_kz`C zd#$JyBFESQ8FvGZLLHaDW0M0SRU{^ZrZ+PZX$dOFOkjI%**5Lf&;v~3>9uooZyVHV zV4lvfqhHpMi|ean4jedxFdL~tavfguMy+?x&o`@~xtSz$CA&t;)JvKqGtOshn`782 z-6a`mERzc!(QCP6Jq^?4Za4L9nUbLWjIqeYsIJr9#(agiwFhgHsnjt~xGa4>5Gs>h zzAU<)W)q_g>ekKce^O)whg3AoE0p zO4Q!U#5vELutCC~E4&Wq0Twc`w47z4QIF+cU5uVr{I2_RlJg<@qjG+R`I1IX=(w%{^oOZ|1J2bshurC^oA}Pn*5Gskv52ZjV4jId>9^q zRI|!mh1ycHqM4R_WExxP;Z5nh3=LBq;a6`qS1ntRio6sD)UW#ad3`=>E|S-*K6+RG zGdOTx>$et`625&05Qr(f_Vvxpd5Q}B@sRi4IYT_%WfehJ+){V;+Z}_iV=h-bazTBS zJ)SP1Ov@)(sRaba6n?5t((GvX-M4$Ua5JwabqOI5#3=Hp$J1Lsispv(SGtc`s5!*t z=bZrocfjiBX?JFwhuF5BAHigT%2ETQY& z<^O~Z{|C(d-_2(Ky&rbDirj9qA$1Y|pfatue<8W_zCQ461nq6tpS#RR17Ang6?0hk zI$m;Yl+L!W5UW$MKjAiY_85EFWJ}w!Jhl4)5(|sHS03!<-!J{Fw?8rh=8C+*n2a<0 z`aGbL6*nvAFEQoL2K7czt4G5Zdr5e6t-%r~uW>~7)kF)J#o+~FYiCc>*Sm3FF-ISVw$us)4u@gO#DN9)J-d!-f|+b=uJE^zE%tBq2)Vi|ZW&joMwUL7SO>=A# zrl#yPiJZ78QA|8*#cEkfgWjHNnqys-hPg)jf7rwgo=N876Ge=1W{#F#YqC?x!=k$p z;kPaBz`NN#Ubv?aQi_7I+m(w$ES6wGF$dJhwDC3FeYk3KT>tiWR(C6Rd<}|CI9nax zzx{gh(FSE14+-}8#Y^K%jfWHs8b>=^pbOlaC^(aV_{^$gIqM;lR@ zduVGO(C2zCze1l{5pK8Fu#4PCU!f!x{?cKAPMb>wLZG8Bld&CA31&93R5|pi33$NW zo4;NPRUf_Fz%D5}%}7OXoA@_<7bSfQku~H^o4$W_3H=QHZ&Q|@6#ks&ca8@Rw?1rm$K=at#O$ww^Pm%}5~d2XHJD+C=O#Za)@++B$hM6sO2( z3`W<>a;0mdqL>CM)_7L&8Y>#AKT_;Q)ZiIP?K6+Xx7p2)=(m#{qXO||jC2aMFs4FG z|Au0!CUy24P>tOq^{F_Ng!aaQu@`8lmRyFA^otjHu7)SXzwdZBlh(2ALXjtlRe3GG z7$;n0Eq&Ney&R>yw_-Mj(e9BS++~#+j6;?p0X)GQoB)p_+()?b=3=9ONM8TspywJ) zCbn?TjJHr!hvQ1q8r<-uqfDUthE2uOoS)c%u^GWTWZ3dfUOzs6(@`xT0)j#86jjqb z#IDMpWP@(7yKZT;@4;CoMQeq^-#LWsts25RXm@S4L}DZyF%z#jLPNXK#P~>*05Oa< zp0(vk3U#>NBlRg#sWi+NdVPPL87FT{3++2&i~Tqp4wnF@$;-t%p%l|CgXnA3Ko?YI zgrIt60v*b&?DdKG3fbEhmm0yOqX-R);OZ#qIe)Cl?b%n9kQKR9F@cFD4=jUy{p%t%&zWpiS>pH&iR~*1#nwgU4;CUPzg< zu4)4U%6WEx!6Re1hvIgmT}=>Vm<;YQgZ^Q}f&N_fiX<}W^CB~O-8OADM;Tr76N#h5 znHWFlNXw;^bi|Var01NxNfUW6+_(o-a{P={@(V{gZ0zxg zdz!RUhRKiYP+C?Ct`?>NhTF`CE5T4MP8GzO_~Rx{cW+gzXd#2ADA_Nx6LCQ`n4PAH zv;sehWQh@*`b)lD%WJwwQXKLCPuW|SpI=&^w!9kei+?oH=}DLscp|<;&WkYU$W5`M z0mf{yfXQ!_^ie$LeLDoS}==^9W^>BUStwa+0Vf^706=__e=fX1^#i z!ItT+#6NAwx3tKF*O*u1>bhT=Rx#X!9-pfSZ;}8Hg!|gG2Y?y%Bq_Nxk!k5c5%Nu?Oh&ERM>pp;70WtMtX! zV;GKA@#x*Vci1{-na4~r>Tl|Gz9a*qSpn!o(1P@;S-H8@_X)Y?(Z|*K!r>0Rwb~EZ z7UE@P;;*(%*M#_W-&M26v@nZ{xO<)!`QclzS$5Oxgrl;fr-4lZMp3)gfS>40$ZkSU zE-xMGU7s}e#nlwM(!&%E4&HgursihOP(_P<8|Pz5I!#;DJFI>eFs~lO0Es)`<`t8Y zgYztnS~fjM$r@!)yKl!?TPjSGwWXsJ@>;mfQ4A&(zC>ZmUX+^Drirp$^x^al8#}gN z^5GS;PgRC4bzk6cuxw_n+^~D+&PFQE{PlX23)!* zat&Ecz&&A~ue>0v%M20{sZmUP5KY5ZzYToR{iD?1y2HjVKgX;+%7=z~Q#)TrXI30E z-LlX0bcE@-@cttlw~0vOlz_S%?<;kDF+-VfA8t3XBsaR7XLxG(+f@1P96v?;Ry?9> z!=er})|T6m*X~sKe~hP#9l87Fv-NnYG=AITSYAH!-p0k#hu`Wul)6EV`WX`>#y!>w8w}}MX<6X_k^j$aLGeQA!vfCvWQ_$Q1_HhD9Ay4heUESXURL)44YC*K7;F zosa%-8}oa0?c1n>bmcgwy_zbXfJkVwV$9+xeC;eVy(>?L-Y&8K!IQBk0hMDfU)c4j z@;NkRHO9sgQMZ?ut|YZNq%zbkJiXTIi}(Z1e}qxA6mVS2$8T_@**444`0~N|X)w&A zRXr!ZoFs3R8WiW%R4spNli{PZYi(2gwm8U3_azSbx$8rE5)uaVm=^5|7(2%Qid0b;I1)l`c$hmkS!$K& z3?2G{O}g2hGmG78==;iUPFt9`Vy9i)>GDc^Ehsnc6TBmWszuHx(Rf$Ck&g)r3<=3| z{UDF4DA&(EgvyENSklHHUY9?Bv2@YE%qv5ub~7e;XP zu(?F=uaJ%dKTKt1v03pWVZWrRoHO^t{jZU+&y*|%`N~J=<=?qefXmmtg&j+|uS~B$ zw*Bx6DPvoJK2$kB=p>K13EM6N7xz?ZKGEP%aL!nnnZES*tA_#Z|7LL zJ)q9ZGLndBEm)(fCU_FD=~tK^s(z09o{y#9KzvXEku=cJ%UM)sVSP>j0}3q+(pO}L zMMul2jbiyRn;B!p?B`9v{pqP3Qi?U|C|IrU@C+<ZO1-_lwsJk7GVwe-YXYjmen}OpCf3l%BQ%PP5APh4tC;W-%ju3% z2_jj*62>XtoM=Exo3aHaL;N90g9ZNh_j^gp^Cnc4Vifh>CWV=4fWPHJC1Z zLUgF$;vDbYbY|Q@>Nb{et)eqcpd@7l{Uq)K>VhZK8n%5FGcc-~g6{Fl2&X#sXRN<} zKAg#3Uupby?y@*5n>*q>G1AtM?cy`5O7otr|CV#Rxup2uHR{;LN2b8x5N`F@?B1c-W<8XFO^)@0PUTYvB7-uwME26EMoJc!K*?9JbuXH$Apr zVb%8P!?}Uns>kDKy$fbWk|_K8UU|1nrUg#%gC_;eu1&zw!rc zo=njEDbKW78r^Cv3{MC00oauk6ha1paI5MsZi`}Hh;9Hxy^uk{rMZeFK+5w}0zN-H znd#@}_YNwxLI390nws$tAgAzWIA5#ofzH8seL*>sr&z)ZejbWIPv;xAUc6;O+u*D? zYhL2~2&#m3DL0>Vqx_%H}WxiZ$gC2EDu0 zgngLT(YHE%0_X9g#PkWGy+>#lFty)tXSeZNGQy?b{dH&M^R?VculASbne_o%IgF<34=;1T2VQD`J&HFkXh{QIjZv5wN6>7E|el+0u$Y8&hw*COm!Gi}Uq&${u^RTn@wxE`G{drixUBB;&`+Dv@R2+axkEL`HMs##^PE(++&XY+`0%gOb#qCZq- z?0m)=Z))J+j&eUgTm$02%b|&I>K)^Cr344M7Xu6q^*Y4MXx#0}bHlWIB;nU^4U3!J z(@C`S$5BP>H_1m(j_>is#S_vAO9r*^^Y>3M?A(zm5AHF(@bKk8A*KOnF5skDFs_{= zlxqlRN^BE$(x;S~qAd1!|HhSB9;f-zyc7}mTTjqul9dHzrdq@%(u7X+aXM*qW#oL#d-kn@P5thBag z^3tf6Cq>_ptnu3Tnx)15`0?Xcx_P&0E}J3(c0)5gH^)@iDE#+ksm1n}iU~+a zf>kqRTwVFC+7llrC-B6H&cUyfhdbl)kqqMMwcc*%=l%A#JrB1AoHl=GBsg&BX=^`T z9xk_78Y~KV`t&h;UO|CisO0XWfWt+T!9p_}`>~q49$p4+i7#G+Rl3Z-F(|ixZ(J)< za+_PXz?i#kyv)wPN%+yH3C-`$eiDefzJ5r@OF@g7<|xmJ2l%9vl#gNMPtysJUee2# zwYSe#o`rRcdwHH<_{5(Jf1_jz--3-`1s2}zWxLhNpD@3=%1iL@e6C@orf)|-GZWMG z=H_O{+xEJ;@xLY>k%(~JUm2-<*m8$FE%?b3VXmu^lH=LLOX4E#OB`=AGew_u-??&f zu|JQZa0>K-_otGK1#?77HuuYmIa{fqA|p70;u+`L*Tpaixe) zXJc9(-zv769Q7D4-K(20@0zM^i(lLz!^KLMkNooD+I^Nh54a^2j+5AP9WV7#zlOdi zoFXOqHw7_R@zbvTUM!GF?>23TW>rvA3;tvp*mCDOtdWlM>gOk?cK7DfmgBEE&nV=~ zth~7q{yZt^WO_Hjqfdd~zG#o$xw9f?E_J5>D=0;a{cX#h@4VXm5#NfoV;KCJr{(SxIyLaXra~+-s zYnYTTHvF_rGb<3Q&*S6q9(_WjNzW5te~F;Kbk|@xj(cE!qlwxiq{XQ8_OpfFOlDTr z6E|+$xSXW&b#Y7K=FKM2)f#4=s{u#8bi&SWN7g9F$b?xPL-78DN%jm^FuQtA-^2R) z`nU4SL#4~{C&Sy;4i68XK!|@&@qlHRs!@~Jd)wg^9UYz9D(1eFIJz!iKVoyOp!Nc7 zbWBX%TzGhRvBBK;V(Sy7x4Ap_;ZDRSv0uH~n_UB^bBZmd#XhNXBHxTiHCbrV^{ig7 z&GW^Lmd?&I!IlKX#AkSnYkpkr91l1);wm<(c2_MA=cFg@mYV&{@V7FkCi>h~@>5v* zZk;xHw7*)ue^lW#-MBDX?J=A@zgSRzCNonlEdrm>_p7~^OweiR3u!1V$ zzHWM%rnTK7X~J(IBOy881@^q^d=Zyc>vLk>nqLov{FVm!X6EM&YU`b6m7KgMKR@}v z>Vak2p2+th&P`BQB8}>jZb+|Y^rA&Qo-4B2rT^8|nZ_WZbB#qtDdP5{RjgU< zwAbzlrDUq6h)ivcP7lAp44goo$vvuaTNL3ga9ivr9xvyjKp^VpN>ox*gU@i^4(Tc| zskf(cad!T&TVpp|rrPFm8vd+Lwir0IH5ax0vA_-Q;o3nHj$*HE2~(%vQ%&K~@s&QlhVqtYsHmh129$qxyoiluQ5|>b z5_fOA#KRL`N?jmWJhJ`qqZB12B}X&?`F4e-1rHx$CkwmC`PvKfD`qeZtK2 zruBa?4&&B{OIK*`@&5R6a;K!jm{>xqVTI%C-o5(6Z3CyOn=b{vF1YHhMxMPYm+Zfo zSDqZNm!xmMf3UYf_4IKF=hgp!l<&6?GUmnwk8!^NGm=p#JJb8C^&Yq9-fN^cF7)N- zO%Ip^l!~s-wk52sxABH|v8$ynUH&5Ovuz3~f0ki!VBjf(`0ZrlD%Xp3N5AhYwi(rW zQ@PBwJL&1mYPVeeuezq+F1LRs;rBbFEB(!zU$D0>u(RV!E!^zAa^=cpyCHt4N9vkM z+y-Th6Q3S6&DVNweSUiOs^j5rH$J|XFJFf1C!Z>m8p88+!l=Cdl^o-9m(ke)dc1f~0XGA}PLNuEKu+`W6*y;mOeybMVZ zc0m(}z_=h(sNV~jtXt;=Aj*PtbGSFEa@+`zsHiCORjXQK5=qJ7on#NpJToNqNJief z1Vqa8qVA1p0Y?ixS7tW+wX?K~l<=kNg8vJ~FMAJ0|a&hazELbGw)n0WM^cA zWO3q71>2neHxWcr1>3xG&bmEt<6q1PcSncmKdcIW`+v7LiTw`^Ys?lqPG09SsiV7{ zr@NqDqpPTR5?2~Q6EO$fvmJAB#c8{(Z?9$W>BPOY7cRFhzjUaRu6AFJC4Qtp{x>Tq zxC=UrH8zD)16B^9)GRO-PZsylg?Hx_7OF3hhOkWkhkF42NQC_juI4-dpwFV1iabc(5n|C26%VcQ2hD8r+`~{$CdOA{)XTw`bi4fMC zGNk#M#h0g_p!UE?HCz5&<*22na_K@wnwk$GWu8c1Qw5{~edLyfiH1g0;>6aLHz6@` z(Cy{a@GJ-r_*!kwxZ(cEr%D+g_Ns&h9ISc$nH(^G+t8L3*vC_wyKB>Y{s*2X(l4wN zL(*(2s6PtZU#V7GP!D-ezIIfv_D>Wy&r{BvizR;0y!iI*TT_6t_7|%G^aH$?_w=kV zXk}+wZTgEjSVSL)4qOiuko{y6604(~9DMMZ3z2eiDl+KT$W)~-k5!f(i~QTL zI_H#e<4r%nOM%r^;JbKy5F~@C*A_X=l>HXM5Mt|}*Z;$=dGC32G`UUbZTLCOAf~_I z*xcbNLJvK{P?=qhD~I+CohJf67VKu6Mrz;srs}*l+GjEu6dZI%n@9sd4Kvbm>11YR zW>X}IkT$CfgNzG;;pda7qs-%(o4dDSl5wR;BgOgn_@d*p2<_BE?Q#jXvMDdRwf){P z9y|K(>EjErq3!nPQ2RTp@~Wy4yEqqwg;A)kCBns&&6Jq@&;H8x1w63+3etO=m)+j_ zETQc6e^7ND)5VJ?9ctF_pm-1g3c(|yHEj$bLy`3BfyFrD$PmgexV%xpcPuT<;HXGo zce?!aWH2Kh;tN?5;!WcUKNHhSB_$;Qz0hx@yK+E-_Xt;dfgr@!#L0;-h?qXCxmkhh zb_s!XXR@@kG*-TGZ5RXrEg+kQ&4u2ky=QXF1^rCf57AS6zO^_I-b=xz@)3YB&a2Jn z1wfq_sm`D`D9V85nOug<`SrWrwG5GB>jcmZ;=(yQ)a~JY|Nb4a?q!o_l7LlLE#~G2vomPWwhx)^y zwP{Q`bS_ZZZ3gn`tvZwcG&*fV)fR5%=1gp=$szAJz_?Oc!Nr-$b! z;CenkK1uNv`a*za-?DX1!Om;?VA=LOE^fBuw9nchENCMCU2-O7W->}jT4yy9>a!dU8P~=#}&%JOTm&DNj$KD);3u=mw@?!wLihRt+7k#K*-wK@X1BYj^`B zgs)H}o-#@@oIH6ldMJ?2EjcZXBv1Deg99>w?(?!+5^$^UmFDJnJmqyTs{S0apIE(3 zZ@}3zRy$e2jIrj$NK7k^Id)>j3XcyNe4*bDHk`*6{;AlqMMX_*0nH8CO_9;kh7}fG zK26I{kfT>1r=dZHoR^R=K2Ra16EZFJ1pv~xgM#b3DS8FQR0&>lN!Es82_Z9lfN$s| z{pnu6evNjIseaqHzP;DL;fy1seTD~%+SDAyy!JDv02{F%sla+*G#{GH64!(E+<_d| zOf(Qn2{U<#oPweok~Z>jJ}n?3!PxsG@+WVmM@nF;|7IOpPt!AiC?_Q)MUaqZ&zfMz zlAb$viTKd84G=xbq$tiFLY1Zwb?2%(SXZu|?MS+c4i6iRB>jUI;o6 zBfC@Kyp3I7&a`!Pro!>e_qUgc=dl9czvqCi8E5NfU$JN;&?f-S0Bmr&hSrQMe^JS| zbJG*$r#TH6gXFTsm(!ViJo<$QZ26#uisaJz=g&!#-ODU>G7e?%O+gAZR}#1#yLi00eA`QIlA3rH58j4w8~K zC)H57gUQ;fHnXY5Q2h^gP9m=$pazSrNstNXMIb|~v#{v_?xuw>#6wtESY81DP9>g{ zk5i&rT!@QawIDHOBH7)Yj%->mYX}PMjh7sOw6mz01i;Jbw+ta77eRM1^%dPk4vvqo zKj@F1V+UqwWlklS_!sT_TUoKa5U~5XDNm&SVuC@?KDl=<@VLIV%-Xqr_ zyX!;!&Nr%7QW8oJ=q!(K^Bndd|LC_hleJ}3=X(|)F|p5qm9;f9d@G~@ z_j%~@1s^_ogoQu=xeqmT+3-&_kVxVp-*Rth)p+2Nd3C~fVZ|O*-Z|O`3Tb8l^fSUG zDai@YFvN;jw8?8?kT-!ztvgD$)W72QmU%N zh*Wy_1fXUqlqR|rZ=$Z7Zx{*)USVhqem&2{bsECs2D}kSMO^8?^91i9KPD}QhKI|f z%RT!A3dXb93lH7=3>|=<~l@F!r{j{-V}9Q^3+lAe@EiY-=3K zg#mH^E({`vm|o=Zj~_P3M`$(qe0LqI7vs_++(hVcr3*#sWaZ_Vd{&iMJ&Z)t zze%v|@KHZ6sJ*1a?(Dnmyn0n>ZBrQYva@{7vSwK{w0g0HVvzzD3kUBsY2-M7mBBK* zb107jcLhjPX8DNoA|kYVdwYq34ymJq&{1E$+rxrLd3#s&O6KmYj`I>@(B%BS@8G+_ z%-#F_xmbwU;b!lzjSVdU8m4t`x;GD6pUChl>~si@Pe75xSKoH7tR5e)50Dh`C<|D4 zF*_TMkkZhEoTBC#q#OEV!*4$E@d0`x5M=txvj%Dt-^s!nwwo^|0BBB;Xea|VAUY=? zD<_AC49h6diFuL&fI^f4z5&2K0|1m;EB-tIl;UV1u^TBOZa~`U&S4rx*ZQ)w@LO71 zfaa}wHgr)m08;4l#6+8|7vCW%ea$lv%o$KklXwQS?3E4RC|*O9Op!pSt_R8X?HtBcyFPv041*(lXC{48hDy)4hUykTR$D?A_>kuo$itn?PI7&-!0l#$HaW5kg^b7nXBL)*OmCPcS9XUt}SF01Kqr=H8Dt zn|;4hF^@v(Hz`q|*nY&wvJt1=Pgz1?2_KK8t4c)Oi05{4`sQAL|CO= z`fMAY`;tDoL17s`LotJ0LrOvMh}zimpHO04SXcn4_M+ngEn3ejWi%We3uneffsg#j z`3SH`IL4E>Tb<`mcmy<&SANgERg54|-v!i&)x_2w3)Mmsme6`M6Qj0tGzfI|E|mAi zdHA}A0HF29fIwbOZ3e2e$!QQd&&rz7E(T;gWo81`E%Oa|BILa`r|<4$@KmDa*|TSb ze718N1_OJ{xabZCYleZwvpxEX7sz8&rN4Fkg@{{r2jh^`LS(<5vDXdX)E6%}h4Bmk z=S%D_U0vHV2{_bwy>7_rQSJ0rZ1{G!yG;^58eg_2<*k<;`m%MVHlemJv1KDtP}+^W zYoJ~@V>0geIO`ed#a91pq~BM)FBwB5YH$Njn(WTk-JqoB)~ z5qR@w9l#IVu7~d{?cD{EK!Oje7P|eHf&?d&96W7QSGHHj$IYCn5jgM10QJB7?%ww* zW@pj^@P6UiwZ5Nn(YN!?hn*)e=4GA)hq zooWiF#CWwwLBn3(z0$$(8)09+st1cR>2Ok^Du;x}nS#A_QzV+F*8Sa$@H0~-IUd*r z9KyrTDD!P|=$5~(<8Q}a)Os7V@H}?gTGg`;N|2_*2(OSE$U@vm++Wt-L;LfRhB>>H0KSM+@%QY>6$6RFu3TC0c8_D zR_i1BYz?#vs?6nQ#Wnti-cCckGKypx7uzI18GA3VE)AEHFa{j(LD7mzNqHuDd_aNz z6#@mw`LDG;9*HV!h!i9(;aoxus>TO~AtTKnf_s4nTJj9d@5u##&s0~ZY%A+Pg~-_Mo?#l`2j~NB0!?hxQlOPIXD_=l1PCJZ}n}C8C6Big&*2 z4C~jl=C>-~u)>ttM$vuj(IvifUPx##o7xs?ELz<8EWRKd^a2?m>(~sHTzr$BP6nw5 z(2^OTi>Wl}vMQsrROrLqC|dy`XfRoSd_wy z(fI2HfaQI!l}U{9srUQ2P@u6ua;_~^KZ4(OP(4{yO|4usEtaAvJ&~*aaf$7BO-U-M&rxdwV$?PD=3wBgdh}kBiP_=R9oh-xz)^ zynu_4NbJ6vsYrI}KZ0P&ORfH$G^9M@<$|UR(RA&UX213mu)rN+MrhGq8M2O@YH^7u zPjSFn-B-n~s81cKt%J%G(hJxsMmyE=aAg1w6xOFs9vT`tHTXr- zAs;v;@oGWI^k)ru*s`_cp(X>km?pBuC|?qyqb%U55g? zT;iLRFsh%bExvVPn7-&c?bzqxkvhL~8X6irthdB&=68LeF4Ix%97+@2&db)tXmZ?Q zAMU016I8v-;)^{;)KR79KS}R-PZT=2OYm}L*b>BxZi~(G#qE)}2hKzt5NpkJp zH)P_VH4LaqEEM;0)_u7^8xQp<#e-@(pjN_`CPHk!y(g>NUl9cXa0aUrw5|T`-_su-SY0FcnVHB)Gt!#>nV0J(OW6lu-Ka!$tAOD z!+%hzsBH|~I_^Xbb*^yI{XO}pJh-~|&eLZTnu&UPd!2qwd~)VRC9KSZw0G~`4b|=! zWkB$T_U?=a1XNl$%VqXT=k&ogeq!sD^+p_@n2t0P65e##pjeY{?`zOlk|q3T)x@_b zY58rC6jl7v+jd*C?a9yA_$!B=mD}G}SAU-9+uGi~sXwKa*&Ax|mV%tT_28}+!%D72 z+uF@G<#9qEXNcEaKi+luNK+k~FzW+;xM4Y8=u9c=rR$CY(kQu!D1No&d;)j^;j@5V} zN-?}^Yip_l7Ihk-;=;nhXte~;UVLBp%L~!d=LA%e$10rC8@!&$rB~Dht3V9l+(M!~q1DK3AJVRC~pC;i4cnKi(QffmaoiLN}jWy7sysn5b ztzQAIwx#{f6|9JaO5U%QPXD_BzyH=mQ`Qskp**A-ZpICEH@7gCQm+#&V%)v88G| z$bH@pW5~KF8_{Ll>Gv*s?aM}9`7&eR{G#H@)~$HKd*3*!Yae!OEfRvhsFHN$#Gn2? z*Qi>Tj&KU@`gW)fBdL!2(b3UV;YH}eK8I0VYRq9pQ8w_{VFARjQBMMpQRmcVTE|A0 zWC^&H=9U&LWOHTIfR4^23;<1t#~TU%10fV?2XD;J&rd(VXZQ#^fH!psC`Ys=r^}Q0 z9v|*Z)u8>Wo0efe+h(2@RD5prsL3ste-R#HL*SaT{03h!lJVSs&_`S1A z@@n&)e67#U7s#zmkHevw#9h)uS(XxqapM;COCx9iy}Wim2x?Ji*FI=sptvvz3*Vx% zRwu=U_U=5;uZ(`1Wc_&tdXrl~Xi^>@t_EPm_Dh50{cGrc!3B5&xH+bLq5V`)RQ%MF zp^Wm|5X8Cdo^MvNrxO!toc6jTk83`Qdx_r~82h?Xvz(Z7C#8Aqds}6f_O&t3x~;N9 zoL|1;EwyzF;@++&7?U7LX3kz7V8_;et_-$$|ja0_Sydl+b@>jx_(*6!) zuR^lGv7=iPNFV=}V*{uD+*<5*`NI{#`7L*f`fS_QY;=mI65eFdt6tl-Gb*z^3k=>G zXsNK#651`|hCY~n!oJmC4ZkKsH|4XvL^iEoW_zo$)mffCl7{bk4dqdso-vt^`U{^P z@x7TCRo+W=FWDDwx46$g!x&0^M-y~{OInsv&GMh3lZgf|2p^3YOuA)TJS6_+_Vz}L zNO3EdG02z)!0DX{R*8!Kk!4WMQ{}N5G48*A(>D)zB@i(@sx z^rBxgl&OPf{nnbOce?_Prk&|#b;|9HKskYKd}yHtyeSPsrS~s&P)9>ZnZk!u=fMZE z@x$6&G2eZ9c{sc89ux^_l~l3s>5E$%8x24h6}m2HD%RH13fOY6;jGL>h^!10Fp9YS z)Sd(15J{~u?*f~I$HpC_OW#*&w*F5M=32Ma|2M)=f(b5@xPSm!Fg8wOz^oI#-6oV_*1G6xN> zys7D{HcLo=;y;E;FCnj9y+Y%lShPSlrwOI()BJy*1oH;=&u>{c;I9CjYzBW+P*yIk zdfcz|xuL;n_m>$eNP0qsM5RtJ>}coc5~17nACpihv@yE}Ur&3S6Zhsv<%zq!?|@m; z99aQ5-E?iL321jbASo zkj4_mV0>EF_)=dclj!v>2O-x3W#r?(oUGPl$cV+iglk~WrQ02tjBsjR5G1d+d}TQc zYY#Y-2vJZ_DD>KT`SS3+W|p~lt>(I4T+SlhAB9eXDkduG0-FZV7pxa6Pa%*wqlE0d z(yzfW*17-6n0p+x#*rX!gmjreR|bBGO6L=83B33Sr1owL!Fq7lG41_z?aVwOJavli zPBSTNYi4nAda$-2VBvZWh6rfh$iP$Z>F97DD>for+^U@>*pl!e+Pj*9+&y(4NF5L5 zgNNrUG7OnMEQ3q~6-XLHxSrRfQNeo`>5+eA#qVWa8&M9<y7yiw9ZuwXx{6iO@0h~|7ub7`P~QNwWrj~$&t5hS#7GuD zzo%kOHkt=j5Ir!ed2^oqdsPbVB;uQ-uzL8&?ox5rW!E3-Png#wKrMU#{ywFQ>re?} zi81%#&VVsUFU&g|oS5Jz+Bh2;V)*fY)MkKDXEN*e=FZWHxGGed)@Xy&1(YjPo0ZCW zhKz=_+kgZCu^a2D-7BR9Vaq(ykV%v7uf>_Adh`BqK>O(9$GAZEbI=e)`S@=2>48Vj zZPBw|R<`qh%-5W0!<9{7Zk=%lzD_USPyqwC3QlwdBBpSWOmKMt z|8j4n218voKy4nYtTUu*o!s}Nd?2nIGq0F?3U#hyWExEJMk(lzJ)$`?E;g2f9(y!{(~nK( zuEC`+w;QrE`u_eB*RNl(2Md^T+jxZ&4*Uaf?(%o;umJAR(A2~RlnBV) z3_O`gAVB#k02fXeHqt2UKUO>>Lp-NlP>WW~vvAk@e=8*i!9J|4iC9{)&AnYph*~8f zMnP{31P;q}d58+yBg|w&uo*usYtt5pl;%Be6~VnMtF8_$Huw6*hF!kkrAw!v99~4( zJowZac`4}G%oi?T0j+8_0?arjk`a@c<{t*fK`{*KX@)9<8pq&`7QpqYwiUU88x}<< zs2-~U!~pnOP?ZFfv<9ehzrYI%dD2Mp7S*UkF|Z}*CiyX3&U;-(2E08%aMEU=M1o=! zU1K+^leR6krzXZK#L2sETyhN~coC)*!`eA>7Nz0H)XzdYxV)yBrg>%Mz=-dl7M zzWPtQ*7;n2e7(|^uyZwP+EWYEACP&bppumjM@&yoH*JAzF6I2ajH5DdRy=~EParP$ zk_X3X(N2^+16lc1c6Rxms-B*nMoUSOby`7P!(i=4!$H2E3U$Xf}!BJ_2XB z^aBOQJR9r{;Z2~j^FvP8eV1E}A-_s<8hr!!4sKZ)Z?N9Gq??O6vPc;j9XxD{GgG|@ z!H!kFHK9={)dx8h|7Ty0wTp4_iBo4x*JoNRjd?F#`~>&Z>0s9>*Pxsj zc@An5yl0q8K7Sb}5ZajwY;1Tyed`urnwl;E&;VQLXSgCddp)m~Zi(d4N~P;w2D5X?ErX&#?+)Es;G~+}YS3+DZf*`X2g|MBqsxQq#aTaS9xK`1 zzY)Q#RC+Vxr;7G1=iC&lFgsU3OMZG-AZ<&8IF<7Dz~ zmmkx)y)YQQM7mM%*K+{|UCNgXTK!3m4 zEz}qTYD(igFr!?ss%Y8-RvCOTGykcCSoglYH!IHtcxw(Z4-!uUG?)L{*Z+9avvqRV zIz=s8DVN6U84>k#IU*Q4AO}GPte?=;aDZYB-$6=GPlQzX?F$5vFxtD+LfO)#9dF5ly`ixe*^#@lVv$FR;0X@>p>;ej?D=LJ< zHrlVcw?*CG$CdsVh=tSmlJQAU5bAM2zXR$th)2I5tGxjV95gfx`01CvXfrsMkz6#q zE0Y>=Q3Ko|d)f3q!sHP5 zvOZ^JM4mIfd`(jF`~~3_rzJ2xf9h3}1e~d)bRGPl4Q_0#tf2uPpMkgKc3wZXQ{|(U z=E?IRVi%d2ae!k$)V=9C+S-bR)AmM;pvn4HU@~s826yd`OaDU_w9`WV2Niwwzy1CF zZMxr_@IOBE074k(m9x8WK_D<%ZM027L==IkbIr@pkPf0WZ%!ji8yuZCz!>;7-$*pm z>0kZPomUtqFyLqpACNH~0>yj+b~n7S^aVS(j!@Ur(ZPmV{9`_j~h`b(){< zyLRYa;i?!xSm)K!TN$i_A~`YB5(6|EHl#K4E)oRw2|+NS<1?E-`%a<#*I6yEigZ7P z3mHTgsa_h++$-jcQ%ZLKM)Cd)r+3XBsNYesvAC~F=6m4Ep)j!3F+wQ=T^jAgen4jl zIe50r>EoVa@@kM(SoKhUl1N%os>)C%~*vkC+1YLVQe9veYDIKO$8Ag;h}NM6lEa zrh$*ghRWufTHh2N#u}TNPp3+-G%PUw}V545&hD8aYD6V!M`Hu$_+h#4r3P# z9&qRxLWFR3uLH{vmn09a=6?v)ew^lNzd!0?Jve`IX7X7jCF`9Bo{6v6Fls8?l~HP% zQ`8*F&D7rXw5U`AA@d7o<$Xo4C4jjg-?W5EtNTw1IW;2$DWucFK}F@M=k!}(2ZrcR z4VhjJ*}n@}Gumht6%Z6>6+ z)q*d;m<*ykga7U%K1wu!X9EIsim{isZkGvc8NtwO-yYrU0nY}svO?aQ98fY@Fu4PZ zc~c$j?ImF`A!3hE10^RjNYg7uogF~tpI0@hbZ(jxi*IRwo>^On2WCo)-RDAth4nxl zRuqqccDt$3>W26GGMnz}$z@v^!(guisDzK85h!`IYf))$$TGiu>!_lfj=Covyi-cq z0a-Kluuyg~N{#Put?l|LW`xF2?O1AIejglq!d#1Rw{F1wZX>(f)Kc_kJEs_;+u3Ug zB`*SwHW(4q-{HyHGzt#nKbn~5^fN(QHsv^xd9tV-P9B~wP~3h&78~}Jte- z#_{ODt6D~cG-~IM+g4i+N^SCX1z20iGEbd4)mCEygI!Q?aX6OUTw&}&S12C}1B_CL zCTCVu=r0LF*<;;4x-x!oY&~KvzLv24WHgvR2D$V|ag)Wo$RRflR(tTm9g0dyx~mgp z`JI~Axa3wRT=Z8cNWi>Z5D+*6%?R}R7$A~@f*HICpq^Xu#CQyB&(6<>Tdc~-%Ma5H ztl5JB<0By8l+O95qC>%ynnTYui&}2x3oJr?9UB>qNb##fP_s99zpLrGb)V8C2*VfwD$1CeTT&m2^Ifc3)p%0b><}4wC_a_yEj5&_5RW z?YldrViCx}it>p(&*a$D4Wxq9P<`wZ)l zHY+4<*l`~|&n9Bj%C*4&bY&w;o3pxMvprS(9GHbd!oog-Y4l#4BM}i%6AXx;HV`<| zX<*-*o?nppTI1z{NCA*eA+~T6gf-5wgPEsyI?1v#XTcK@65<;a%Yfy4{JaLLCpcLR zm12b{0Di+6GJ{=-T{Zb5aOS_-uXcrq^FgY80yObydT^%hP)*bowZ9#cYD*CuT7R7V zHK&o@uI$6wmiuY#C86v2E|?;{3{5k@kcg7cw=r?U&j3(aREN)T2DNB0eb5Fl4lDwK z07SjJd%I(rDZvpj`Kv`T{G-8;cz5o0(eUYMKA(%+pKJa*y-Ez3|JtAYwrmdgozORl~ z1arLDcLBeok@+*l0BXW|0r{4CJHTMqR7veQ@v2KaOzSt}Eq=hv+~8yl>^Q zewDqiRT;AT>tKe@uw|RtT&>#^&8|fz4`=o+G;SS02Nm5q1a_Xv0c*vq?F&x~i*6a; z^IPoa&fH*>^sg~otbAELlv}=yO#~|0;&1S-g0WdOAu5O7hxsCgEMw>$Z_NIP`56X= z2y_evA*H5fXS2>XsgD3JFb;x8OlPx&iD93DhW?K5QB|?zRp@X5%&pe#kI+((dEudZ zZ$7oBC> zI=f2ZD+NQ@86WT(q8%xcA;Uko@3M`urruke2-?vzghz&q{27RMehGa~crQ#yMO_pA z(R`_(hDkM&_L@?U{#)?dL+8;5KEuX=Z}&=t+`mI3OuzjU3??*Vemh3Ni|9@Vi{?T} za32I`<7=#M_uP_1&$ht@Uv^J4$;tZb1z6H|`u&937#xNXqqBdS8u5JfY`{bEwjwF2 zHQmi1Z#b<@-FUfi@?juQyauBqc{MZk#YiLHZzu@0Wz+?h*Zskytef!u_LU?R8gcKE z%+JoJgrRRL>1dVev?$1c%oEys>I@f{5_iE`jD>)G2X>SO3mUX@eASWkqCr4TPJ?50 zYEKllJzShDcpR`|$LR7wcTjqwBzxu0g8)X}L8_zypXqK5gaYbOhI42dyYuioN~bF- zD(*s)Q3y^f!h&)jzjs#yj!(VXl(+pK5vt`LR|`7%3d0!-JsGGC0$fs7eQh^0G+zfC zAHlXT?5p;0fU>8lk_-KaAv9E1t=gp^Gp2m8yi9W$*i*2DQUJ-(gc>zhJW~OxLE%HE z34*$9a1pV!MhZ)N0@i_TEGbBsUtwYyE$U~0hWWM8B^h3OjR;gK=y{+Dw4?^=Wczt? z3dAWr0k5{A?-S9f4%2%7Wp?gJR~u~ZxTtAPc= z%pd>V9$dg|r=a;jV#}ssH>bl`6nGq8M!(igq{EQ04p~{ApD!BF1m+bk7!Me+r=S3a zi!Y*%pPUQV#LgzrX?I#*cvB7Ol@h2?-^Alan4c~4Hp=M(=jiyo?=Yl^f@VnfB7r>@ zLSOLT#eOD-180tUug4w0QUI8x)s^Ku(|F^bw9^M13AA6_5&*VX(Gm(r0KeM%zI$Ns zht_inHWoE6Z^3)$_Vu?EP~HKZE1;nvh*LTN$Aytf{`>u>(Pj~hdv@_x!L8!t4eSmO zfZV_pL5qNnJ{FqE{F#!w3}TvM(JT~k;BIaDvZ-7}QfSm{Y&g)dfVXd1kc{a&L(2Kh zrG7w41016E@dFcZI;b8nAsnQX0prP%48FglfxDrBaZ=R#_SP;|DQkN&YY>c?ENs?S zu3qhi4!GzLI6ZVgLDYRo3alwj41!dw9xv(n%pVIKwq7a-v1>S(?pbHkP}0ch0~O4BiLqK0Wum{CU?OH zb*B8Vp541*9~j=WHkw|RDi{bSQI0Pdu8K~F@CMeb5tJXtt)Dt5#RHVUb(qG3+P>caK|^xX)pk$9Cc)MRv^5$XwdFHV0v1jiI4V<~7u z@{ApN-w^>-IqSLyjqky{c?xr|XZ8L{SHg7l=TQ!L9|w*y|BUrPeP`DDg6`!q8XJK!+qx#>lsJ z3Yg~#g4quc%xT@{v;LLeO2uL5CY3-<0Gi-fo0oA9k}<~0&_{;!bwq)|jTdyT?uwA+ zjWXNs*wUmd;&AgvoqrA#M1nW@6hL9LJqO$J(b2v`u1P%uY6LzWf#KT+Xm8*w3NACS zZZkr&i`wXcAq|ET1*0P~P=;W<_1x$XEDAXG&lHStdh-8F2rCvG|IwZ91UE_Lr2r9d zHqg+4H=7onEQOl`=7Vz}LAwo6sAp(S9v`h9J8m!CVqs&O0v_TzG^>-Vt1zGv4ngzu zoFFmu*`HzKHl1Us^w~#VfrAiD^+1Jug{*~(hX-2OYeCS$`7hN0PNAr`xY6W* z%^a79uAxjFOx!;F^K^>_Ag&{Tcn)t6gs+pFx&rj3?q&0V7O(%xUkB)e#y-o}at6jc zr->506RVlgk?D0Jv2?9Uf`^6lA7NLXhktR_LHl5E!y_4j$(7afEMzU|M#J(>2Q!RF zVB+@lFR4eJgz~a1X^$JJDm-TqWCE(D=S-A5Wkjq@GHti zGCYH|!a*P}*%~*^SV?AUXX~pK#QLUrxYwiK%H;g$>C@9|7%LEY6G5|vSK7aWe>x{2 z0|R?amR7&nqf96#gASUpko=?eG|y9=Ib+`Z`~o^;0u#jG=s=K%=g$iYQbTXZ45{%U zlmr|OdJ`|0xmOBOfzNIp4_0p!zRx};nOIGFV0QL~I{CM+{8&_9RlZRss3icIq=*Xyy5^Q%vC>ZR;gHE9%cCnc-D5 zoZj^pC+TuY@|hdy5_hR+@SPiR36V9kUPk`t6OD!U2Y6tMx8;5SZ{pnMY4k$0+5a85 zjy!E`ZH-cPKvNXEbI3-<8h9K(cr5r_lRjE6(QcVEBn0;#K~f`cerD!zZY~!vn*`{X z-u3I)s6+S78zz46d!T+?xFvj^zf6U|7$R!;M!xe&!0|`;uh5+azS52SABjqv-P7CK z9IR4MzH>`uE-)d_7_{_7ahbwhTwNcRmzS3|oPQ(#KYCUbU^&8JK!g}AHF3)(8{1y! z!(Z#>T!>PbSXr@OcC?MpD~r+QYyyo4O?>x*v5^YTHKtf4Ru=M;zJ7jr^u%O+|A~(Z zt~@+EpUa@Bo39g?fbQ=BWPWYVCy|knr42>5EJNEqxJS3#@%)*UY3ktMu>94w^$|V^ zjBcC`l{H_6Vb7qya-{4VFtjBX9->c-DDILdHs{wKD7o8<2e3X^g$-RySzU~!%0HT? zg6qyIm4PU3b^|=FBPu%DeED)nh%L7KUvcb*Hs`a#(Tdk3KQGZ5@X=;pvL8{E{`5!` zfoCmPyx}M7PXCjr&6k{x&OOMxwC9j%KPLB4VVOspqeEs|C)BLL08km~j>ce#CTHohx4;`MzC9cYM)dGv#*FF{TVQOtw)) zGdx`-@YSpHfRK77B;@7gE2^s-{^@t5;UN)UbM$xtjl2y?e_N#j+Fh15;c%H$mNxw1 zI&{sVl;JrGE?|sybaX@z^l>asPEKrT8yvL^@gKLDwFc#n7>6H*guHi0RapX%P06G0 zlW1|qHMg}j0NyS1ST&wp17X(;>bve0^dOR7Guia65DC!77Z}EV;uv@y1uDFGhiGR9+>KRWDJ(8V2YS9j--R0gn_F8yL%n=_1!UzP zeL2*SiSCIQqG7_69jKYrc(qIHQAh{@2PL8Ha2XLO$54ILv$QMx4@H3ELND!pu#&7c zD;h334^mR-+0;^>LckM7q6-Gb_G^115ay=P!qZ&2Lm(z5HUU`xb>pD2U3mB-x%4b; zE;#OBg%dLr>=W>a0wE!xj|~kt=#v@1&-!$C*YkbfPv@>n7cV|A7Jnt#6 zTY`>?ik0pdfPmG2-6c$!YkhX-_?y82rH@yZQ4`b8Zx>b4B*gh2}Q| zJb0)(mr7zh+Ha6N`?tgz@E`>9UaMo`#Sw8yNf*Vep#+@?4S&zG4}DcsVj=-GH8om_ zJ;C8P@$)BPs4RApN)Uio(}UeLPk3lf9z7?SMx3M0d8Rk_{#84lG_C-B9)ynX;!z7g zY@lo_uxh=|`@p0E?H>dPAsrmv!1X)~4wip{(aq9EM>sFTh@kU6%z>d(0)vD4?JosM zfbB;oFx%pKjb;>qe}Nfnm_}5qbOyqiX&xQps(rHP3bBg%0RfJHp&9{WdpA73B;AeM zxP}G@F3ufKFz#S422eQzkRVu@g2tu+O`+1UzCI1u{*27% zbuQ>0UoH*v*4bBgGY3b`sE)eVsaf)hc zXaz?N_rUN^2ORIGb^i|R@n@u@)aDW1ab)cGGjcUq{rSGd!XVoubgi6Yu9Un`rFsm^ z-mp);K$E`3z{|x2WHvus2|6UkWl(l{wPqut`$QmDcW{&L=uYU_t5y@U2_|^zLvw&^ z1-$^Tdl1@P1#U0A@rJe@`q+;@LWwUhO20NYOPrx#PE8XS!)@wG$+;vdIy~|4KC~_1 zMoIoeVnnhJ6Qz^W(~m%@Kg+Ep!20<0V`&}K)5OBkXlhQpdrY!zo)%mQ(Swf?n{#ut zBlQ3S9<_|NlJ6g&QWi)|@yaVdTU%NlKrIAYVm4**1@j#em&D=VTrz{3SNlxvqp}w` z?X`ILwhN)zorcULSal56O&EL2ah%Cu{asiZ$sPY<1z?4^a>;#gs?^lhwy}B;dBJt? zIZesN%r^dPFsGRIGY2~K^EPxVD*fqw_nyqes<6ob;^QW#)-Wn{nO8*u4SD1h6hh+C zFED*LjiRjVmbNx!hm6}Yt7&;pPD0KN!2KR=%;wEq)@k2gnKaihw^# zURoLpR7o5D{8sYnfW(Foi962*8=2$+bT}x%@Zw!Qg^!2#lY2>jyBPXGW;_rhtfO=1}r>ps(x0l*5M%NyWHJtLX$#%vNi0;ktMzAySIbw z**)Y$8kzwb7l3Ab1Rg?!1xYi`8-32!FOYn2q$&+;c}?n`vZs1tBPeZxn)d;$;VpLC z@DqUC2?LBsY{ZxKot=S8E|Z^6?Ed~uSPu_M(!I-%&ZR;XcswpHE*|yb#XZ-b*hO9G zSDav8`z)|(C)7oPvx1Tl@G{A+gEMQ995r$%8-1N4$Y(}fDL8g1H z&e0mD!x?8YR#W+$ANY#fl}{{DffQP5d;}0h1dNSB@yata0-5F0r%ytT6M?_<-F_El zMA&5?Hm>NIA925ENUpOEbr%N`5PWh-ESm@Df~V_(?|}gchSkBliLLHk3ufPM27}s5 z5{9?l{SHZ7r2x|J6TsI~h<>5zgYLIt2)xL|MGP?#cBD!9PQf9FzOxOIGSO1(4Rb~qhpct(2x{90!GY263f(26l zI0Y8Ed#Z6?a;V9o2w?HqZLROz`LR3uy9-LKK!Or+U zNP81-F4whf{MS6FgitL}LJ~ryOie_TLWT^Hsbnl65?PgyQk1b!lz9jtQ%Yp0v?Q~N zBD0jK629|dt-bgAzTfv9-~aeKI`*;lTKWyob3gZeUFUQ$jcCQXaUYAHFkW)Vtt>39 zX4#?fOabT_ULG}B#OUqo6F*+b)jB#fG-Pk?FeyMrnu|U=?+)2L>}3*7J3Lr#65lmp zd*EY+LSDCF4>Vu4LrfYz3KyU#V7>Oo*0~HwIA(#7X0JW+e!H-w_{Vj)UoD-T^BKS% ze5$1Uuo4DxbMx~4*l(uWGoG^_CSb&>nGGoMYOM&j3oQ!(@|9wca{(o2t9XuqAIW=B zgluyjSPd)P4IIblYgUl-3dd{zhXSkgek33O$}H)PtayC7!>?f&FhGWeBe1Xcy}7TC zFjxi0HPl9PTwGj=wx@k*TgO}Ne10Y_w!;pO?al)`?Ti|{extez-EyS{m0f>-Kj4(C z4{?FV}a(j@{Ee^JI@awaoY$#FGSGX;`{%2nSKMR}#CvYGPbrEk(20NB`!o z1w3jz2K`U_h?0T=L(t8}$hp;XVb57$Ys4DDCjD?>RnYO*roJUB$KPwxEto)QRFoB8 zQq?4b^;uFGA!jvk?(?TlQxt57)ajUK zX7O7-M*jKMY#hsbQUA?~McenAox;Nih_?tQk7p?r&ZHwl*dzr`;w(6cJ<(6tCcq zO%r7n2fS+Rer+N`LJ9A$Gxp<>E`}#Fwz*O!S32F{7fwOd=z;9JKb? zzHbA^?^Qe;dMBRyRae1rF}2Z%ZV_CX^)iNu;ep>aJANFV2E`}BECyM-^ZHf#azCC7 zPQK*^X;r~zS=_%LN;U7_uevTb5+e9*?B`FdkfrQnvJNLQ^~g+)18o}uFR3pL4^P&) zZaWToS6HVM4@V1144hI(9>wEDM>wuF=U;G_KuothU-g4VhmM-s>Q@DSEMIPM@=38* z0qVk<0|R;qIKwn~(vMl2utpcwUINk`%C!ZXteo*!E3+x{sPXA1VhcbD@t0fDtzsQV z{r!fuPw((yK|UVXB(z)0sw8riJJP%O7RB50aNOqqFc0jB2Rgu+g5$d>E1 z@){SR&+L|uHMTQ4dzQCmtm@wMPoRk~A6cHBjDm7XxK&lsx`nqwO0|usk z;*QLj%HG^XtD4X+5_3d>D`-k~#cP`2E`l*nRr>;JF6{2@9}+Q9%%MPu3`HADxm>*dEr>6uZ5l0RI~X!PYEjv8Ny5p= z>1^LUneW+>0--*Z8>X(ST9*A5MnRLR)l09H@{_B((~Di23(xbwdIOy~%Y*GGzo=p+ zSr2l(h#A3-vI<6*T{zScnBxH*&rvW;=yrLAYzs2ldd&JwR%N=WGaqt`%VNtbtld-F z`#f{}Yb)V<_6jnLomH^k+_j$2rvi%i!Sw@1pK-;4oBISk7;p~C} zw+FE^Hw8yWM~m&qu7CCOQ<4z3?aK;2FCN6dh>Pz=){bW#PCqHjVD1%Dy>&I7?^BT6 zwVrveRqZ(G-;IJgvm>{ID1R8@i<0G}g_<2o9BVrc9NhJ#8f4`x3>(GW6x2itSD zUg_+lx*e~KFF;%> z>`||;kp7QPZR$11ez2@NHTXr9zy~mZl;yF<`%0Wsi%x=qLd|C6#TqwZXF{pH%w0!t zS<%);;6X)q&SFpJMGzf}w*!I*G#jD$`u`@NK7WaNN8AflDxclBxMN5z$s&*A~ zP05OD4O{sKGZ%ehpV3`+9iC<2T$srKf8{9&5J&)-l2}5qS6|y%$3OP&4nWl1Oa^jQ zj9N2Ott-EwF{|5az{ia>iNk}G+vxhx$A;W!cEp!N%#aBHXC*Zbhwghdh!s&Jm;!PzB;VW`tYwWfw^~@U zp#G8HfT)U0$Vx&~R+ zfqB-g|A1q{(;NYNXlw+3PoM?}OZph(J-%K27}Ui@P7Tf9a)*Pj4J3Er`dmRh4(JUb z49g1+L_l+d&<2JFq)xSF&YFu6jLQtn&l4^Wf_#1e;qY{$JssqHRhn=r;_G@wy zG^;rWr!sJt&i8rQ1BZbph#`W;-W_dD1_JHG+KU=L#Rkstn!B}TpaXe!JO2D-LEDR60u`5D9-sd zS4raSyXX2c>#q7$zO&dIB4)fhc}G_LxXRTDQKzXAvi2wL!DrM?iZ3gX#RV#nq4L$a zDm>$fsQu7FJ|y`Aw(xVXhA~t+(gEnlYJK8O*nr)F1U-xg=hqV2f;N+J_x}Ca zg%iIL2Rskq6C1~VeE*LYpepttkCms&G19H#RG}0&XIEEKAgx7D7au%$kjNh@ci>R* zLoXII78x0rLcDz0BE*v+zX_K77eEKdoR&ZFtEb4_)zuYw(8VoLGtuffcZ8o|+;YEb ziO@{~$mbSY}hNTGWC{maFEf? z$ZeP%ET2Z7XOjXWw<0aSt+sR($c@-=Ty5jB*MIbhbI{9y~G7XuSBt?k-v~ zv^X;~G&F{^S>C*SDQ|5pj8=={ff>uC9V~L@{E6FncC`N*8n_t@q}GxNuN5+QHbtuh zO(C4)bJ37+ZdqWJJfVIwO_`4s#zWm7P$>5UmSp*LT_avWLxUCS4oGCbTb7C(J72>N z##i<{NMgyY0oi!Wso`U+hQ9$@;|scwD6bd~+7{nA zuPWN>;Ztoy$N^d*Y1kT01i+*d)lm8YGg_vkzxF$mCrXb}}+D zo8dzv;|Sv@`Wpe$mmm$WBB~%vMhm)z8|Wy`$9;zxWmt|D_KL3tZ|>!zLQU+KD3BfW z)hC^tF5}$_3gjrb3|_kDRaKO2De$JspthT5%L;wkqld~WD;2Txc}}biehGf|I`qJs zE#H-Ob`J)waXLT81GvnBCP1d_zZ4rXj}LWL)%fK}-`7|V7WERJ0bnvi=hivK#vAc` zkSzu3Nk2b7XJBTY9onPM(=z=;oC;An`!C?FNG%RhPY1h>Wlc4QXTM4>;InVA^{#~!;Y*C5h>51I{Vd_A&bASo(qla+fr%|R$e|EUqb z%>C-Op`l_@<3~goQcw@Nr;{yDXW$twN@Cduo}?75?o1;iql;th_ELc5N#Pipv~Ryj zgc3;%PkmOr=|}<)P}~Uv%aPk4)~KB;3+M*1%nt2NX-2X14$$sFg!JRvIEZfsc0GbS)NgG3Loe2mF*<*G4j{QNIxUg&0H8QuF6dt@q z$&4+%y-A}Xz=j&C4<8mns}Y0e?FW2Y0Gbv;rb4Vbz7^nfyW|4V8pm9w7%3T<&mi23 z(611ie|6=Sgyzhfo$55(#D4+ZYmhtQN1rl?IsnJ<9H%=(xSj~dt7%KVX^y4x!F|jI zxUC6%ju1R?L9#a|bpKq>-GAZ>n!SW?$YQ%4G4*&1cM062&9n1k;SMYXN}687$9KQT>Be3@ zXIR(4R$c(hacUwW!{c+{kMWjAeNBl#9| zON40P^WtPT#s2r$WiaOC%SRzeH9IUNvasK@f`ow$ZOzPCv)0@!Z~64;0s^IsaUpRh zIEOjp#D67<#%o>yv4E9gf>b7$55}98Ck6wAC1}gJi`uV+l0V>H%t7CwX&9A;k;YrRsIiR$$2(-F>0q3lE&B=|mPIndf?y?wpwwLf| zKb%tYB1Z68Ub1knj*kMXM)kZ0jj2xO-3|aPR?t2JOI$0#(|wkkSu9?g)|p%Du*%!; zB&%vR$-=y30oX5mWouYu2~V^#BzR0XGO3;ZS}Af=L)ukp8Okr5?oSt}GI zBm8uiJ_29Zgv7tMS3YY&gb{& z<4RFJJQ+@~5Wb{vth%&$9ps&NQ2MT?GhAdRZu(Az!4&*@!gYGN&4?OMN&9iC*O>WO=PLLbm`siu+_D)PDfri@$*JC z-i49R8Qw!|CRfm}kwpCZ4wu_mOowCZ`#j!5&IWy7Rb<|Gn-Cj z>@z^BDC#2$xp?>sr0iL=Ze6VO>8UGH`@JsowfBy^l15{-Rd+RlA-70Z#~DakCvx%8 zOQ8fVx+RacJI&rfA?WWZOe@;Ex_nTElV0QcyR;sOtPM5Gj(c8wh{)V~m)~BgQajRy z1>3iDuY!o)qotYKkw{|crjT{@pU7&~aQ)|Ji?Xm8DS6(sFq2q8hYt|`qQ-kSyn$ij zuXqj6t4~7YJZTCda(``zb*oT}PjO@<(UwK;RLa7|r+qHZ_=? zL9UD?OP0hi9ZGhB(#pzfr>51vbsBk&8>HxT$VI4-6PIVxFCMy6+Vck z92S4=l0V~W|21w(Avk#KY2zBTRj@qxK{{f3Q(#F7?=@1j%jm8Sp%!ZSd={R;nv6g1?VVE<`*Mfmi8 zm8XHsxUvG3=vmY-n=ae*Bjkv+v5a({jHk!~_!GUMW{#-m?ipx4QRaUFUu)udxF@7~iS-7F zd1DJ$)LkHKd}uMge?a5Nlz`lS4#D@(3(g&tl9nz)!;VNB3y1?L_koP4I6t>=@z{4<91qa6f4I-4|x}8 zHzI9zK|_|rF6oc{sa&6@n68n9lFcEYI2pDClAX6wn)BQ6^*W=R(eg2f50w4Pmot;2mw7OUGf<6L9 zpdd-Fa&z6m7wCySO94^Ru%fVY{Xj(?o*lMav_fJwH#avl3Y0@Y;ik9;yP~T!g@W$f z;i5nfh)OO52Xm5^qP3NhH(DX@Q$#WYq~kdqu%z!44VD)TrY*GSGmIHK!Ma1d0y)TR zP!KS1`rh$E17u>tOVR#Vh*Z5>z~O@98TK1-dduSCkoN-ALPD@8hVqAmV|Z*&o<1#4 zUmiI@tsu6QV1d$g^!X``H>C*u<=alKM&Kw(JW%Z%g)|kmY>7PX(`c}vUPAT%%tH3E z;n@FCis7dpK2nH;r=``T?claT-@Dtzl!-6wxt@)=sD5Ad&YBdtnu31K4q5OgtAk$} z+u3cDKo%p_?IVwb`oL?laK9 z-#Y6JoeV{6!#`(P6Rjpl=Eieq@2Fr|xz%=&l2Yl))aM!yr=gBwKzj;VkiwR$Qwpwz z8|bZhH*eP5+e`VmQyO+31&x#>L<<2~8UW@R)D#R^22fg3vXbl<&o|ytNHz<FRAYbISJcaGDA`mhO4yo$^&U!=)VxiGlfM)G* zp}QQ?Qy|{HhBIYlvK24@z^K|erTbJ=5GPCaS?h*$ijgzeeCR>$R2F6mRKUC0A*GNw3*{Y&t@QI z{u);OXB-!2uX6$tx1?E_19`tqT z6Ccf;b@*%Jp%wU810y4%!OdIR$Z%Ec!}dBMTVQMzi$8xS@^?B@ZlYFUYT~Nd@3?Au zmv{lP0u36c`&Ng>K{|SmO6YAl~2xNQ4>-VMggi zHMdLtKS?S?_fdKyZslJXPJmVdwWH4RRkzX9pb1%EE-x>?xOR>9Sd+APV}(IheeBCm ztUZmU{f_lgzq!JEZ&{+lRbNYd`Vi6XAY{0~t?pqRKq@1QS2 z(NYZyAR@SrAja1Ie!~<|w7Rr2Au7dL7@-U34wBxwkZy;zeXQ&ow{B_LPCieC11uTR zEsFss)I2^oshFZ~q{8J01b4w$iRB~|*RoUH5TxTh{M!~|_8BKB2k$y?*8mp}-e8)r z>ec$S$Mi#AYL7iyUKdeect-dXOzql-_h*2r*>>vFrSiwB!#9Dfu7R0+=L!3*{QM;? zV;H-*2Zz#=U)>uR4>}@4Lv?LW9o#pP2ft7B8TLizPYAQVnV7?vfA%bI#89{KBkm|K zexs`|;s={%FmQMm-B-SO^!V`)!Z#sS>y_%NOV;;72S%DfIMBD~8YXK8>(9!-7zVyncNz|h84OII6FgUL zc;s)n#fIM#=%!j91RK8HFo=V;+s)Xet&F90GVaR$5V0Azx7y8R;Do-12O_H2U_qe@ zUqHp=+5^{RD``-c*+q04|3d}gv*7Mfm!LE(P7cf--AsLjW0edfO+v^`H{Or z@(loSgzgyCzXddE?vNq_;0k5qyhAbjXQ)Yc#M*w}n>3Otl2ARhOWXKZU61csaD9`T?$*{de6t*t9D}M<`SKx6)4DQh z3|I_71o02A)_16{fcKLnizi~{^A8^km$Ros&hs0yi?sC4?du(EN;CC(D2KXeVGp7U zeac6&!KHGN9i~VEM>%U29=n8WZ1|~*6Pl(jr^rZV=^b3o_g2?)$OUig3Na^pP-aF3 zft#KmnR&Jw82=3GKBJ%z#Cx-xOlCcDBhXtMExE#eIL*Y<5D=X^fE@cXl1pp0a7{0u z3hlXbS2yb|zV*Qng#uiakcHfsFPhhWV6;}|y*itD`5lOQI#+ezWPN;oay#Sce^C%P zTSeA)+}np}CVU2R0i%GR78bX*;H*PWA^3Sk%tS3oqJfQK9^KjJZPqAaQ>gv* zh(ARxCPl`>JXOwQy|C~y+cUO6#5~ttecAcJQ%!RGs<_E$9=4R$oQ{Z1kH5A&3oD$f z{=TiZ7loHn#>;&VG;a3H>8w4n0<~v*w`d}$Y)zp9@@buwJx5sHPcpx5MNc~t>>3z9 z)|!>_>Jdu~OljUIFBdHr+xa+U$16NvIaQbW}hV1aWLxBm2yoQE`?ERc$vK17fgZO_W5Z`HVTp^u>x|?jTxMy70h@fpO zhT%31TK9Xe=yFM&{<8eeZPngEWCC+$xt%-rDj^y)aiDa}VFxz(7a=O5TG``POj8F~ zZLG+tK5@tQGlb9du^ciqjClASJWfVLHBLX{rgz@@X=CBgz|(A(i(}GGoiDmp>|I96 zkcI{NcZVuH(_QLS#UUIGvfkBWA}_9Lk5YR6nTZuZZ7VgirES({`T zRlmbujbBjMC`llY>Fx<-^uoy<*)~laI3Y-X9=%nSMg7PN@owr;;;bFdFwUM{UmL_+ z5i=2*^)D?zph~}XF}7OlK=Poekd%E9pMYl37Iij20k9f7JziQg+ro$6Xx(W$@ua?N zUhUZNaxv8JCgL6P=WMnyANew|sz*TGvPlYRc9<~a5i0fJ{G=NY-L?JDl+0)2du1i%!3Mkn-yu>DfGR=QbSH9j!Gwls$Y!xp$D^fvY_| zhOo1S;`9)fwhMV&(3C~*&{1%%?2x;dt> z5$jg~!#!=zoH8NU2()`TpBIAMjWLTu?H1^cZXg?tX0S8@|G0CUU46-@?F^G2X>e92PwaO*TgsbnLpuy2z?T{j{)f2c|Jc z6|bIqAab_}B*^lx?gFkf{`BDoIXim_Tr!(QS(&g=z*w$@9}s`< zVDTTUu8YF|WOWx;@^pRv938wD;^!UU%yC!<-2$#62?zlgnz1?J3HP-H%uWwU2P$B*+D1 z<0&Y*Q-(+)G-NNZIz78qqH&>&ec%V@kZ@Zxh?Go&9?rvj>5o9&0!m@pVQ%!Rt*xz7 zPBi$Xx|-V2G-+?|VzcA9^YJ)n(Xikl?QdJQTuH(1vkg5=#JTUv(dHZ*4X;Ar(h9R3 z!vk=X3B+((ey3=B4q7VAW@6l`JgzSpo1FI9ch@vY%7QTpcO4RZF;Zu_hzw@H5=hNn z8w}|LuC3`vZv%T!Mt1g+ueGoL(E@A@TfJ=XH`sN+a7;MEVcNzgr2z#;b#aL157+90 zIyn*OXUL=Zu_iSUu-ueq7Qnt`sm)94)JPfARb89Y6}*)4DoN0Dv?p3h5ae&Q%iqe6DJb!VBb%L{IvL%52PD zP9U0((N~~-x*`7$lw_42b-V#{E|b+w#%U2WAriX5A;q#ZlFk%Vkw6bwsrBs&v|7b! zLffNc2NyI6Yt}sLOc(~Rf!LxV=#D(&=PgnfTt=t1>g(saD@?KqZ{NOM0hm*xERY0YbSG2YF8E%ak#pz=XHrlJMyR>_A_=S=R~S9Z)B4+z{7eM>O&w-D#Ze)JF|Mr7WT@@N_-(1B!*uH#r+HwAyglVJ^w)z0vN(i z3o^VY z`V1Kx^<)8h5N z^loTZ{K)5J{|t@CHO*W$wJX!*#m|5Lf1J7$2aKPpQ_nbAefJ9h;qp=_GSp(hjmOH$ zVyjx~{clp{)d2x(qspsFwjUffD9UHP?z`h#lm(F|K)1|rmTn4FRT1u za>tc{#@7l4d7&017F3#uPW7VnX`-w;Qyx0a*PMrMKh*!esSzo$4V(YwtMHkAj*WfB zv}T3}QVYnQ4g%CN8pq@_C^V*j_umW<5eSt~AVDgaynJyD2axe1%y1+Vu6$+=dDmesU6xr6{b{II_7>pcfbDDxeT%;Z%w z@ghYmgqh>VO#R?y*SXgWB4JWCd%k%k`+?Zs7Ua#fBh@;bb}XFYqWxEE;}VG7QeD5u|^Np;k8I?BDovrC@U|MYCzTX2NbRgPJd1X zR?OqfF%bPtnSB^!(%XSR%q}@2Aod85XVnLxxC!R@-|vD8f=I#IO6az27z=; zXzZsL1RU1e5z=PmrL15k{`Uub3NwvoA6k?ev!B?_XE7kul41sn?H`J3L4!H)b#~rU zI|^79%H%(BvH(s;Da(R@A{2MJGMc=+zSG0u%Vq+*C%qiw>4iB=Lc%~&CrO*e7{G{* zFtL^F^*dE@zn~Xle_;<$k^Vkh9Djn$2Iou3 zdHW&Wf7H@zA*nzeJ7ryAY3Jgeu-Q z)*vU{v%}$~)#jBLL1cn~0cXvttE-`y@}rs!Wcv?X@#8~3OdiEP2+6on_q=Z_3PtiE zo;AnkA*Tu%Y5}f;ftYHA*ErgK1`A%eE@kZmE#q(Bu|G-#CKS#!{V zo6?h`Hd+2t;MBh8JtIYclO^fyz;*01}XHYd1y@TX6 zWCtO0d!hKdce}4EXq`fu7xAwPn>VU3V0SPZmnl{K&rAlKXVfF3StOmF>ph*6DIx#k3nfjXd(enVjbUu z6NKUMH=Xg9>l26- zd}SI1jFcdT2f!v%Tp58kJy^38-*Wr*AMU@p)-~syVFp3wO%YpX+nF&j6FVr4V}$(_ z7v6KKI97nG0xX5Vt>n0CiA@n%G{2WzqwpCFpq!%QEMTe3+_Fzmo7`0s1n56VnJqLW z8Qmu~%q>tzA#vlLMm$-X3bJmCn_ezAx2vm+=7~}tu^CK@jlBP;W^3&#ZWn2&>cb*W*lfLkf3aS z=IP&F(p{n6+(-U7XmB5(t*-|E_SJq2G9W7k#T9urwZ9&Q#gGzvFcI|vcs9wU$RMd$6d-W}IaVKq`XH6pW1|BYE>TqWnPi9fCkowc>FQblG#|Yv z@=RJok4HR%-fbxt*P^?djm;~UErVK_WD2CK00X*nqoO>ikw9+XQG5!cFYs=-VMrz6 zhuKHXS*|dD0QXy&B%d_$Xb#+j@-#ecsB0DiSm;fpr3n(O&$f$H6XoTd$spk%B?bYT zTMi)~q%#lzgN!^se*v&o=APGQtge#(g!x#56$E)z2!sG(u)u8wgQkIHRK}*$h40&{ z^|L9yYx#^8#P1c!ekAK2lw=hA12z3FlpxQZ&A=KXVcY<)S#OTK!>MfkAOtZ$Wj?Gq zt>TdSe3AMX z50STU8Nxv*=N32$uC6EY+>MRg-Jjezif24)Prw>%$uuJO>`>#xYAfdN?YC2B&*@0Ir|^kG0W?sekB3A_#w&%MrQUHJKUd5+oHT?bA&KRO=UY+`;` z?t{id*7&#{7cX9X<_0KI0Xw!QX5k!vb2&0H@>x1SGHg{s!24%29^1Ds#I$?;)-;`D zJ@ZFy<`OHgy<7o=JVUTg2??{3Qr}bPdTyz)OOU_1+;P&d5U$SxzEDx*E8y(s1~e)u z^8^*YDM0tjpKn^N_TRhh`bI51oYpyWX7jlAiWd|==;u6uuM47J7p%n}Cdj3Uqiquq zF)#42tv_{jb?Z@aOjt$`5)R*FAo|C3QuJu~OM$PO-&R zJJk>AKi!{tKfX03G{!}}I%S{BAv>d{>Wb!+6Dc|w!hI`s|1|j$@Sx$-6W0Ded9NTt zNbKd$@n_fHgwMDvwdvK#<<4?E*Ii_{AOCWCdxu-)Ij%dS=PEl+BkQT5dJ--hAos<+ zQu|Ji&nl^Y1SG%QG7s$>DuIZkTqGoMiW)41MDQbr`9#yY1nDVqL7`0n#ocs|Y!EfeOLrl&tI7N`XDk{SP zQN$xub4Aj4mY1RQ-1yQqPqy-LgkRg&uSTt|Q9yrS?DT~^UP-6kuzcAc3^Ubu3Uk!_ z@r&k8BEWx!V8q2=IE&e9vom*;Y1NFs;P$(c*5<{BF>sETY_T3_LWIl{FB?`>YN$^{WDNO1 zh`9%l_!O2ta0~T)v z88BB*)WU+luqVv#j)B`QdBeXn*(a-NK&6MxHi%v%*sxO2r}gBCMt$ zssbEERAZ}FC#0xwh|lqWivfAibAjr30-nVfF6fSFEZMh

roigRC;`dcoisHo#g_ zyqb4eIl&Il%~KK{g(*TuL;MlSk68@3^=x(W0F=PPvlVur^{zZhuU6>)8d2A8dK4s> z*vV1-y-ZoKB6MPRd{38!eTrAtxwP6CrHAI-ORKA1vx^rbZ(F-Ix+phmWL^$ejoqDc z7V$8@)r**zZaOx<&34ndj}Hp;Ln$Y9xbp)UB9EX(EI!x4zn?9a(bCr^Qb8S*?QEzS zN1$XWhKA!5w&UNUg_G>j^&n?O6^9zrcQ#?6b=+ES>hbA~OwOTa^}l|;LwDCO$!!yQ zs2L84-U5m6#$8=+)S?=xX#}(?G=TBG1W-WpzEe^0a)_@^bXC3MmU#n(`9;fch*!x8!g~8}B%i-@$NC!ze|7 z;?3sLnd71fRrV`7`t;_o}<@NGMrq+1Cyy*-%tXaPT}Hp2&qgp&#CUgcA3-mll89?9w^`+e0wx?z0Ufd;YUkgMnanJ#*Kw43qs?zrIBYV4%G%Dlq>3%H~{QOpt-4#`J z8Chc>G=$EL+bIyYn4^#m(iYOPD{%SL`T#alv31S#KKwclSI(V?@~7CQEDu;sT& z-~gNh#1-MAzLBpH)VS;n=T+zuh0rc1(A-1q?TpH_9uHc36}RYm3Y?|m9g)ER0_XJF<)A{_Lb8q^jfxlF7aSqy>6|bDWgDAVyN^#8S2*YSf)PSt zrC{>*s8|b?UPvkWh8g7LmYbxd^?LI#wj?o{1;$bzauxPsBCrn@1@+nxAVmRP9X;9K zEG4X)J{ze(%eS9%&b)oGZbe;&B$`!1yif6Zi0yP}ZtRX!71(45SdzC$rUL`}{$oqAw(& z-yeVY!WAexQg2EY<=$WFf!<~8(<0rr3&-9>h*Y4|rwIwjK|u{oaUO_Foys9-c23e&^8*d> zTyAn!i8z@F#-*?{KxPV2B|vDgT*%@SH-_5Lw<O&LtxX%0k$k=F{*FR9~I|iS@(X zy}Zi;|31(zpqESojGQ=(Zj^+diNjMGpc+=w`jeyY3;a?J|IeB@I@T?*s>s~G` zK1c*;Vgla4JkwU|^w4lpGKHhT@}Np8=d%ag zf*HRJT(8uYA~uLR|K(dOmk~IE%Z5XGwUE$4^sB`*^AGoxQip3se6!Z39=D09vHS+; z-F+i9|b%6 zTJc^4jJsgKAeANnQ)7*`D_pk}A_bt)=pe7zO_Wz)^7};j7U5rsZd7pvNsJbqy0y$-{-Q!Uy7a!a~Gnkj>6K!ZmxuX&GDn%LtoirBME@4|Sp7(j6U!0JNDcFH2pb5BlLUU2(g zlJUpHmpfpxnnD|~#nYd@6(t7kFu1Cpk+Ay|6za*YxBMgz2bV(5Dl##lkta~RwRDGr z<=Q3TjhzEdghl*~+$YS&ZB`DrwdA51DQ(fxiQBi82}wny7G|mV$!|Fbg%ZtRD|_%S zkH8Y0!U?yiW?+W`eHH$bY;6eyO?9t6_LiA23<4w`ye##l^&r7`^7dJbVO}+1LrwI#-l)(X~dxC!~nv2(+ z6TL>~6nYR09(pQFf+coS_>8B1xKdgS{RLeu$FYyzJGxo(y>h^%d{Xy|xdZvAPnxj@) z?>{H1|DaY?G}-{k(k~YLbzPtg zRG^60x+<{@n4k`)(#rY>N6&^*-YKqK4ROjyahdx{> zadCUQmd4$hzAnkah8uVjEI};;P8Av5vhPeugMRRt+@<~j+sMJbC%)zjPb-c<03>l3 zd<)I6N1dVTVhV(Ygf8w75Go`*eBURDr=F#ThFX^XVVD0W5+Pb?o*uHZ-rKy-IXy3c zFK`S~XyRr?3-G2-W%XIgzOV{^$fIPdNGb z&QH3Fmj)Z4t;XH761T1wn>}ydbKos#{1mVW!sBa)=V%tjDI6O^Pwu1t5$FqF#3Zzh z0|+3;9yJqvAXX$QfzuT(SV6>l0}pKUt^;dm z!ArbA(C)HNf@}ZL0(jyXrgsNSgnfM$8K+3l08Pt{nxNjqrj8CE(=GV&u17{-*x}A!z|Hv*^fe^3!gI>>9`KH+(5; zgvE(Usue9QIX65$`SX&RD|?mFlY_`|qG(F2-D4x?V9r5B_64uZ^1nn?!ZltXH z{c&Irs2j>%lf>5&Dfg`NYzp0RB7 zHEJ(?xi2u66laDaqX4%8KXoOM(BxVAV5p${txcOYiHJUq!Pt%L!tvzhjouGd0dR&F zAI-?+5^4VG-M4~QXK2~liee7gOVw91zWA(EiuB^5oI}*g6nmC-0CzV>d4;~z_upiL z$HITO-@fi09$q}ef1=oET6Nlmt6@jm!w1Y-j@BwSs*i_@U;qUwTkB9h!xO0Him+xx zp19+r#;e{^?hmuq-VyXty`wwsjeqwm^}32Gu5S%Mz>L%>Xe>EvtuiZiRAvS_ATR;6 z^%kL^WsY<*YVN~hjD$`FYyI5JVH#Be{mDEUO7;{Q3)BWP!Vk>DG%g%uzmc&(^b%t= zX4B!*B$a%Af@1#%RBXi~7_)N{sd`{apIdCc;@Jv(`2yA$GZK|Jni>JBXW4zENK8t* zqcpRtiqRosuim_Qv%Z5Isx-`xDr4+6z}@*w3XzNt#;Lf-5kk0U(A(&>4hw#RqvI16 z*C##PeWDpi@`&Yw$w`)JtCYec`IO1LSd#w=R=^)$&37-D*oqm4urQlW)JhQVRR`7nKqiKWu3NC;7#&LQkPM6E_*6 z%s7ZL1iFEPJ!zIy`E^P;ADa-73;k5EV2jGVQ!oW_jFvW%W#A%MyZY3#PnKnMw*ry`mx z{pczw))(jci==+YtjHyn77l6-NNXc1)q6 zzagz*;_)cQ5@7tv#+<{48csXD>+s$X*PCg-S;>6__}&WQm>5UVld(^TSx8^`iP*H0 zmIfnqwqtQ?^jisKvIqrUDc_i`Th1K7Zyhd!d2)C(@|x?QiI`EpbQ=d@Qn0HfL4!R<&GEmehCEMsFhdDULN)5VNE!9o~L zmnd&0j~_b*ca~xwf{8@9${u%E!VzGoLJros)2ewVdw(YDW+>hw19L`O%6eSaywq#_ z|GNI#fo($#39J~D8dSXL0WcP%68iMv<_E@`{<0%teak-VL8ni%?XX|}Af2`$79F() zt9A>&-@VuT{5Y88L{KxEL@A@-J0A=26A?6rKBt#r2_k_g$(~2=y2{prnVL8}$&Fv4qsqV^%8Q_l4ec)A>S(mQ$I4aDoEeqa zaYyeoas_-(1-ly*oUMt;g5N_puMen6xozE1v5-Eiu-^9TG74HW)hJ4@c*yrVK%0tu z!+>`Q`q?Q-EOG>AFL?G{(J4%Td2%@Qd;^!=31m2-&db(&Q`NCXXNon*UoQp}4@Bl% z2AKuH&sf$K?eUY{QN3|AW^i{|{ukY}jB2qh| z;Yqt{{BDJ|MFfDyaX?zk*8Vp82uN?f?I?uW=gMWwxZ)28aA#no9G4IZo6%HX$^ z0Fyu^1b~VOw+*OH6uvQa3{zZ}1+!8_WS5Nxf%(JyZSa-801}i`oAF}Bxcm|+x4rT8 zT(8yLY8z0^9JYO1aVs@7RWNwsRD#2ftdWVCJ0rKd(P#;osN_2p5mr7G?tYJFDjnIN zbn3;&AWRPtHh8>r=eO%BDELGU5yl)PYf|hj5L2mgQ&Gu}Q1&&y*?7Fz zJQ27du(*58b=tyXw}`jEBY|pAIO}WP*X?@)_{KgKm;NHTsbgxrUd2gY~SE zwJTI}ia5opbJmGq&B6FaRj4F?Mbd&ri)j21jVh(i4qFW+RV=5th$RY2N}oZQug_S1 zIpf2+93~5?)Ay1SR>v~uNFN_+2zya8Ca#wAh9y0G({@+vHZUeHxa+K7(}lhiQi6)0 zm@D!9=kr3F)+nvl9ZEFo@9uuF*~Ri~sex8vf1Qu_ozmgSGe8B>VFg9C9JP&V;=K!k|_F6N+Hov4vuyJI3~vJV7HS zS(1QEcwoy=2!2Khv>WaYik_sobUVN0M`3{V$;O|dS&m?Vbj2sJ`Xs}n`BjFQrS7oY zzBBuFw05}DvB+e<{bOm(o>?Fx?yw&S%;-2>tf@7ks`I6@P-IGArfvwVv%v~Uh)d1) zG090|Y+w3oP{#_Phn6k%XCpAne|^o4wv(FHG1+=Ab+7$G58<>bcJuM!hHmMF@0yzQ4SK** zRD>D*r9S>xI$%&LO7o+Gx!**SMikh7n!v+g05b$9GlOAJ=)MXZ1cQMfoHxB*u?gP3 z-qwdC!mj|@Mn%95O`zpk0$VKq#1TNkb(1kfKna~WkW`4nlyQYkia+tK&I_U&T#zCc zXnRmpDctMX(WSn1NT(|4zHZ7s4F_1!(sB|K`PfZ$M_0-NPLk4RhJU5CEDq$$C-{Yv29{$}B584w-@^)QGKXeCi2pe6cB)Tz z*=V^#`yg@_i2mak1yS&*=5zh-cx*gtO>mcYp#h)4pp+a@IuGQO1H>@mB%|bgZ+qu< zre)`kF?M2DNam^%tFRmA(Y}`mmc7M*ESdx$BpiFP_&>fsjysli)K&5Ue56TZfXDa- zjpqhdP8Rk*faZ{=6TA1RU~fL<$6&FjNCiQ~*a>}^q1&()zdV1G9!0`Ltt>`^kII;m z0^xP?nv@N>zo55M`XMVW88zDY$Xd`w!vHNG_+)04K6>Fchu^i>keqw-)-N>`X_yn5g% zmYQX6WCs@^gx>kqZ$TKUY%)4k-BoNY1Lz90rEQf)8&EO&G(Ew`6@Icjm@k}WuAny2lJ2jdTwN8FB193) zM^lTnjT1kkITxC*AEi4c*2H``S)+eq!`QzsJx$Y_($HeQX7Ax|`CUgiR500tt#kOS z@8rRtO?Ja*x2asBBwP|eBW~Mx^GZ^KV`rNK69bLmeK{ewCMxXDwb&vJZdF-aIuOgo zybrA*F|D70x@h0bV-S6a{p~0+6wDRnB8nkBG zqZn~p41;?TH&JdJse$pB;RMyoYG@j8BAXzf@wjbC^bA4JCg88S=$#Hb$g0_3&uUDCQhbD@~E4TSKvWKrnTF@aUs9 zB^fd>*XNikM~^G?7Bm(RN=1qo0U-(u=eVQz3jJ-}ve-K*w<{khvjBZOpg;sSNfWWi zc>_h;PHXF=n#txwO(6Rnh1O4iDTs&wzX7tel))c(P|OK!X_dAK8B(OY4C~iT3cW z^5Ij{4v>T`KtBbZSYP(?+LW`eO+hjGzQcS?`R05VHtcRt(zN&I$EonwEnqr!bGWscsfetmaLhvttXc ze<)90uO8rAWFTaq0p`Z`8h28m<{;P{sOWISz&RVZBvy}x@M2JBsspA3ihBOTx7lw4 z46kmBBMD|v_Ny^xDR}Kb>_xrgFT>a?^8Q6N9@v5w9mBJZbcrRbDlptwapz2}gyA}u zgy)VJZnS>%C(5Je7@cw@I_(HN32)adZSah|I!*nxX`)DmP+CiR5wAuWc4&~Naf<(@ z8ZD8fNlt3=_W|SG0OFG!flWvZRt|6u7kb*mcM#okv0y{@4YlEs5k-U;yfv=B7F|*v z_%NGW%b{yZjL~lX%h&@wil}cvq6Sx1x-djgy zxxU?^uidyzKmk!fr9?ncNdw~r1WBcplvL@EFi|O`LqzFDNl61~0VSnTK%@l(Y0kV+ z*Z2GO9(#;)&e&s*^T%O0)>vz)Z#>WaTruao=4FTMvH}(>Pzj_#(?R?i1_vcC%ZCFy zAuHApCB13x-jDSc@1YbQqW-6R0GCq!q!A(P#aA3pbpFpZgqeSalgI)7zeTP7&!5%Q z9?4zvr6>&1r7dRgQ!x04Jg!~{p1O&lGr!dA$-RLkqaG31j`kZOD7iVV$asXO; zveua}Txj`0ygoON7VBhTk66N7&qA%*N|EMZT(R)k*{*_0Bas=n3uj%xQL{aW#A|$F zE$!F2d3cb`ciOc$DTPpOfVw}s_e_^r$KZle=uw*o)Bm}<2uDdJm5#`9dJ(iT5?H?tkZh(JRpH{O6 z4@q{vP+p+@!DeU4FZW}e(Fg{*{Y(VqN^lBPTAwm7696py7Fv2TMX~y{gjj`Q_MqEN z=P!R|?hcYQE|cGaC{9EKgTcbCiqT28nwJQdy!MJ++diE7|N7H${+AOtsrRv65O#Z%REkUH5>kD8);j}th#-mx14+5#fmL7R zw>!>`(P9dhExpKSle>xFWW-facq;vH~pDg;8(EntHwPH0jt!v$sa znQ&KBdRnkAn_P}wWc3;OS^v2MSRv$0Vm237!aMspkP=#0lJI2f-RR~2b&?=0 zJEas=UD8-|kgXpY2VBliWVHTtEMTsG0I=W2jKz`I*bBT58?GGGL~Tqgs(ol;lt+F{ zh#1}bs|EP+PZw#dAdA2l67iaZ#+`x|3DS15t_=t|t%aATCkmJ(v0_M!|E&dr4jDJf zdm}g+rsc6vvB7U+Q)HNp;cmbZsMZNSM{$C?BeRGI6GnqppNS-UL&-QCCbjaR3q_^S zh?u%jCs@iE)9Yl#4k4GIzl0tVbu$^##F3{#q~9`zwSOftIbw(Y)$(Yk0PU2iC@y}X z+-ClB|M~1qIj6%mK;d^0wuqEVDDhyrA(wD&5L+u&Kt#2ef_alwI5W7!_Gwo>y)&`{ zf_*-YE6Nh_oTC(&W3q$m&RzBSf2WZf`roeDvAGNB=VHQD0qHC7@iFK+xb)a?b3WNP ziX^}KnRP`A^a;uDSk%s0VS^tc%_0iOYbas3MBqovJ-!Azkt&nG55@e5lZRa6lv3Cy zvbSJM-LH|66R3p?#u18xw{G9S7BxOcdM5IdjY{;v2s9+|b#0kuQTx`@^S)=}QLutQ z_B#x1@@B_XC`4oZ1HrGhx6?!)Rj)vB#n*gUwXjdo=ie)o9aQ4DU_8rnH=6&8#)jW7 znydt;`-@k&4jtNpRb^ZIkT@Vm)iCA07N8$heUSCF8}u-=R;9H zLo!Iz{^`t)1W&p+7t|<1KR=!%?iZ9xuns1M#a`L-8t{;2p?Z!T2);dzv+;G3R^9se zTfS&z)-|Jx-gvXgv8x^#0DiW)3%4B|+mS>3|M|v#=o25@eGB&XA=*C3zgOdmP_BW+ zLJL^UxnTxxUmMG|3T7{42?lXHq!3VoEKiplY%EC~s;N8GLvl2_rbQIu^n)d*PlRk_ zXWnQYpu09VV|iQneujFOC(& zPBfylPh-!VgtF%nypJ@S%FEAL-V#LQfatVhbvbJqHePV15_97?7uQ;Oyznt_lNX;< z1mfxy2XX{$&iGp%JZ&6JVf$T49aY6pDA{##);z>r$jQxzu35^ZcUy}RDQaViFdeivae-dvwZ!T{6A0`Jh z1#H`j_x~OcS-3{fW&K;{qdw^j{WqN8kebT;E5pQ>{eN9*{%iS+cl_V|cCoy0JiCR# zPdF1|9bVO!f1EJ$rIfQ5@k88MZh%n1s!2dRRN^nFOcRzG*AMdVIk2E?j5IO{Z~lfC z1^Qg|^^k|)7twzfT}CXtHvIL}4OF)i?YGx|eC_CnY$VMxLHw&c$h1lhWMU*lLTg6^ zhVU+M3kBwLmNv#~SkozpwG?bHtbZEjopYHRXL+@M+myZ}v# zGa=l7~X0reJiMOPs3R2z!=HJg_dzhqU6WB7W5D}n|@qLAl2g(4bLW z1@bm&$smM5#3sHwq|i{Bg)2g_L3Ss8=A1N0ALC&yOABHUoCJy?ul;@0WYR35&B6Yu`M0RMKSj&z#*E-|V25N=1S$G4SNriBzw}cfGNuu#Q|60l zw0Afp9z`!R6|362b@%a@-=Z(?BJjB7z# z_Rt>a4SReXDoNueexifJY&A5bcOj&~NFK3xBU8GNI}`vXFCXV%XWv+~PwCP+3RYU~ zdV1LYV((RO6hD6bT5(=zaf`3bjR*IOOMr;&`W>Mg_F;@*G4rBFSeTTwnxxqtXcae( zaS4Otihz^*@w(wPYt}?yd1U&#ao|o7XcNRyU2LqhhhU07qz}T5^2Rh0UmEfNXDI$^ zfOltf8ypl}#?VTM<>CT0@W4Fm;VkC3BcMy9CMc@pxZ|xL7W3#I??UJ1jl;ADHZ3Xx zv|vZ7@Ktou@SVfKFC9tMDDLS)+Z`$e!>jmAr|V!)9wrp{M2nr3|gRg zLycb6%hirVOripr^|_pjCybbggVlM-rhA50ZC?Uvp&!G;FSDd^YQ-k;D1Pi4Q*3f~ zb4%mMgRep;Sd1<12DLrr#HI+%p>91-X$nS&;G03Mn<+#UPVCR)-B}RkNNq&+oUiUv zaCX>v0lF>-qrUL&HuJ&0wcVwVE1f^EF*MNSZ=8s=tV>ig^t}(2O(6u+=YJQz;D(H_ z69Ucj77IdK!M>tKGl)nt;nc>Se#VvVCOD20QPpq3d;u#a?IPLSjgE9?x^3RFqNL;z ztk6n{1tVtVl9o}h^~G0Z2#Tt$T?m(rFr@r8fJ4lIki_2Vhl&Wn^%+{GP!oa`!A2q5 zU5kpDD`H^*uy1&73;Z^*mjci328hcSbPdG3`>rv<<{3f5)`PF zyVDjW$f*&S=zSv^Q{Yp0h(J-`pTq+OU*anO>%$W77854}66RJRHhrDMG|j{Ab3`&3 zUvLpf=-$#uvs0TMcl_HO)`~+32!4hoz2ocG7nr3bZjsQ2!SNr@5wRI2qwXLo9%d1| zf`!Untt%x(qwY9s@iO<)+rTxnUyex&GW9bxMIzxsONd(RRc0ne8nNj>C#`Y(pe!D$ zeLDm#KYYt{eNZg$w;_yHZh$)$8CIbX-U?J6*B)PV!!LBo<|7j%0dE1UDXnROBn3_Ulquo3)ihq~%8M7VK{BWlo%Sgv}nfIkT9dhtF@ zbT4^{0FTT+yh8W2*)8Jd&s~s_%Iy1ZPmUt0N;4S;EPzAn&mO-6mLL3n@%ryF-lIAY zvq2M~8@92m8bvfxX4$%iFOpu*0Y;8HM6Rm$e6ORAav;=b=za~TM%WI7y%WGzgVRVI z1>=~a=@;B3b zA(WkNolN<^Yef_|&|Gcm+8c61woZgNis@8uh-Gz{?4p%%z(bRe9;Fz^gEC#I$Z~mg zxMj%|-J_CM9l5!A)NQ{UQt>Q`#8?b#Tq_20PGP>HAyLa`FX&6u+Nfeq;&Yvkl46AH zG{w0m)C|ojq}kPz_u<};6(`!V-R7U$=Y-SviGFN;W(Y!VMmwu81}O z?NXfele2TeHG3Q`3zVkrGL5`{UYU#`6wqqix3Pf#uq%=~A;Li;kTDFAiS{L!?mGVE z?1SPB|Ca38-cr#D-j}@Mw4XL_G(F=#H8u6n6gu7p!-!2G5#6zA=pBzK3hNyRZfwVK zPae;-8hYAbY4f1Js@tUO`z5&uTJx0mZEYIfj69}%*bY9FGb$C)w5W7^jiKC4Z_o(t zC*6mPFfH&N>5CL|WF%8JDH!b=D%=xb(dWi9UVp)}A>~$J{#LZwF;1+L?!PJ<8Q!li z?ldpeMhUUcPm0+`%D`8uUn#Ux^*Q28=uFeq*MLvVP1N3utZYR*yKmZ~{YusJ>gZv{ zohr63xm0E$|J8MQ0>iS^SlG4(!TTO4dl1#A92bVCIV-YN-ffv)MhS8_g7wq+;P{3i zM+(K)p#a%^d*w=W^;S_YmQ_$EX*M0~krs3R*ZHi0lb2VPrHWIS49c4U z(=Fs&WIj7(p)?&V>e$MeUS%A(hZd=jE3O;`by;lp+Q{xla2`UMjhlv~SJE3R*DqZU zH^n&{Rk@RJ5U3JxuG4idgLlGq(x{YjG|aj_ zUTJqJLR9L-%Ac0@5-uJ}Dd5zV#z1cFD~%i-Zqx!U6e@&KjkvLMv~?-(Q#D9Muh_TU z?KHvk75hqb0`I(ru9$_IoK*>%!tal?VDyelKYaHySyIYSWulL>y{QWVmgri^QyY$M zn^*W!7BVh@#!17!6H?nXH<4p!pj=jTtC3?|-2@#hR5q{3&!|J?NXTCiK{H-=BW zB(7767w2(FbxVE#RaS~u;WgNFKsvDTYwoXBXcOXIRDdfdBg`*bQ1NHGE4(uoGwF#D z66e^r@6Ey<*mKo+Ae57o258Yv`yC2Y-j9?*64gLewUM_k?ki9?!TyQJHDxV%_Swxi zkF)!&3~1ycU6^RL9W4Gf``^+^Pg6z`U2Y&oQAq8j`85FryHTnED$0*QqIt&>}101+x-shrDJT5a&wZaU& zacju^_7o4l@0Mnuhx@RRQstFbbM> zz>(<$Ejc02CxLj#wxckQ;!cmIWC%CQV_9xV@yLx!@g&EyRiZg#}Oa42>yCpeGH%?4(L@dycCAF8zFl@;%=PX zg=9lS&4Gun4tn1$o}2si+GT`LOb|~&l-JUqlQ%zShmNo`P+bfnE{qdH6@Xo{i%E)W z#sJ;8BNhym zA)=!BT2KLAN_7N-z?-}LfVRjX#^S|%){7|knRGAFu0phWZiTHj*wOp(yge?~HmtAp z9Y8yphBA|rmf1_TR0xVSY5bw6VdX}FaQc@`1IZ0WJxqryP0f!mm^5ksY$XO_WK68g za;wWJz*3n2UcGg)nTHz z+n15+&?%vtqD0)oEih#YT=NuUIxik>X4~ab5Spx077O!RWz1v(i;RZo%(_Mo=5BCK zj)!vUJGKJIf!KGOBRgKXH1brDZ)JczSJ!U0@RR>=4j(}oI$czyVF=kVaIIQRL!$_J z7FhFVY;uvny(M~EbF+)=moHnU57~ofI0U4<7|2vF(B=*JiGs5aqf@phcZnYikb*LU zv|ilnPZ;hr2WTe@#7=#zuY%F4`8mklljs&Np#D^V@0k+kR)y&E$1z?}3*h4?y1+<@ z3cGg(X$HWa(OvmrNc`FAE$nn1p}<5IKITAE)UHzxt(&8wbk>G@hxg-3JVW;r1EmM< zgg56_7k0(?Xkz`bo!{sqUPCxh3qir&9;lT7C^*8TfgFy-oGWioIsU9ahHWD-ldcc! zSUJ}=4Mjjo{}7738r+0~V66{fq2s`MCQt2@hM&l;5}uHt$0K>zZWg2rwJ7_q{PAY~ zwQ>7S$D)NZn;CK9?rIDX_=kHJv_7Qe9_+qu-WbH^md!Jcied6ML}HGaM+yoT1bbaf(QaI+md=3jM<;fPP}+%~^z_3A3*#~H@u=bvqU67p!_Reqd*u#pwx2mHc6 z-Yl7;S+>Xs5#69MHRg3b^O4bhf>{nC9j+9T>ZSf3+^n@S-Wtme++al%znW~9ho=hWF(2$d# zj0Z{Q_Q;)aTygWw$p_1S|3Avg^DMt(Avnonf5HL2Fy++mJBL5Dc=Iat|Njp!oa6rw zUX9iN#MQFL)y4vho)YvH!a-r|ux}c$baY-q5&3fyoz_BdTYYx5?KH-z(_ZISdY9|+ zF)h2>V#0lGi2m5y4V^G^B|pU;vR=0uzL;j-U|2_?(EmA-_>HCebbl-+f1XibWlUZGV|xbmi3w3pZN-rv>LI`9 z6BY?GwC?}RPmBn{swRg;RUwpI^6`zS&(Xq+J48Te!~J=Pb6Agm9mN5d+{V~fQ8#HJDd z{4XDIQ?*}S{E21-QnCi!BZqVTCiw;jMRmU)excjz z{$y7ke^tX?1cb`V$IXX=%56a`SYUN3D=TYBk9nzX3T7v@Y`c6exN4y+ObT(BVrv>+ zLTUGP*@%aZLNPJZFWcl_u6qF|=8VTiR&njdsH$f79SjWp0w@-6b?cCLY7-Vz-k-LSQJgO@|%{UJWU|g0})aLB;nJh@4H@XiWsYuN+H1 z@Vh9W9G2Bnww?O%9;);3hg&#wvtGk`sc;+?(m|Jl0AGLj?11mB03=;CqIoe5pu_(1(cr33g8wA z!4tbZC6J(N;y&y;HWeiQIZijVu~5k*w2I{t3d`>jfih75$ogs59G=pa>qU&7;lR{O zO)}c5_88y#g=*Ezt^zn`ma$j5w6wSY+Owk1tym+536QFRc}S652XOl9^-9#JwwTGc zud6S=F+2%Ys{HdfOQyr94ZMB7f8wF6=Ku44uXs>jgr&!27oh|b>c!6ccP35V>cn!N=@F+znOC)F*m|1*N) z@#iotlSGdog%E5>MMK3@t_!*<>7^Q;Gs)>}I8#XL4S&pM;|v#X)wn^*o>m^bMJNQ^m^Z2_SAE^fhBkbz%U9&Q!Vtlwn}78E4IwQn9EDIzo4x}te+auojOwS>9Yn)&C>>jYqsfC5)*TNQCYB3(THw!Dd^Ce{@D`- zVNuJ7ZSO7>jMXr)9so@e3Iu~H9@7!{X|WE7r;p%{V(?&O4GaM#sR!=ENDrhj^5ARl((_PiB={D(TChYPYpmySTM}k5^3C>)XfLFaIvvDJDpD z4MzMPJ7}DDS88%7r$%FbMIPi8XHzch3z+|1iqII1%YNRSe zQ&<1-Btjk;5(G6Hnvh4wqGCYl}FTebY5hAXX!#K z_of>%z68wrO$)B2I8?zjEkun5zw26CjN&GIB(8 zKhSOARu`(T43PufTn9-4+R^qye;R4kT7W4aGt1g8cS@iHsD^Zim5Ommxx1^k%rMBz zS;7>DlvAGa5#n1;ojHT?ycuKsLDXQ#XE2*ENen^1Y)`+(8U$b>vU1ndq**UoY?ik! zPGY~?$96MRT?f+1EHNU-JC9GD8mP@MjqSsN1h!8|sJU`O*HuhBXCc^!d(&6qNq2BB z7Q_duCZ%7R@+{+Or>2#^Bdb$o@bqZv%Urb3hy&#wpD2_005cV0WLe4Km#)xzd9l+p z69wZ)=MBot?Z3C7zdLD4a4EBf0Cqw=4UU6e$i{L%W$xtf&-f^g>5zgf)>E{}Yq(?~5M( zepCGG(tQh;y7(i?BYY9$+c7A2^gi#wY##a`l<_5AB#yfI3&7cTZ@1Xn_L7U1^?QOZtqGYvaT zL_3xM2fWAZxB_oJ!W~rpEhUeE#<_B8wKidMu*WK}XAae-0kFtGK0SBTh|nM(6vpVC z4c$&t_AxuJ9h*M>5G};t|8Z!cTkMp>jh$+0n~Oy9DrI;Fz8ckeU~NL%|fg_#=yiag zz}vt5*xY;4`93n<<5luG{UWD>E6X)xNhpWZ ztf#UOS-wlf$D@i@dmH+qPKP`Y1pcGZx!l zhvp>>pGJ7s`imQlj;5x`kZ{LAFwX{qVdP#Ju%MVm;Y`|U1tH+0S_1{-30`BZl!jD5XbUe7 zuy-)4Z@-pICXBikULGWJioL!4QJQ4I<*38)v}|EuFv`JgPG3vQ&|jAjR9Wemf_Y1Q zO#c(%nnI)`Jpu^HEU_@phj1+c*-H}dJ<{9Q%o#Qm&O#~?Tgd3f{9ezTf@X}AOQ>t& z;5gh|RRr`hh8Uv(IJf|801-6`0gz+={))JZBV|^HQ-)4T6&9f#H0ej#;n_q-R=j$c z#8kNOc($nIFS3q=1veVedK8FpI7Ryo9+bxohMEnd-a%vy8?_30ezZUuHZ|QC)qty> zbPS;2Kp`7blY8smIPd#}2hFqqV?nivYJ$`%++~7^W((_n`w&pL)(ci5Eym0i=26VfUnrF8r3w~IA96$t<%tj=jpWJTckP8JK&(4gN+M`J@U!g z)C~J6BBF5{0E|5u-v(Ye8jt_!RriT5z8bgkAjFWM67s|HjQE3$_*Hz@oF>Ds%CN$^ zH%+j6Fn(l@59&oNgJ2+~8Tx8_4MM$&g-+L&NI3hB*C7`$yO#W~PUWcY74~n1hMZ0T}c{=M}|t14+2Y5*Ktf&}~r3 zhiD2=rE$*RcM^)VFd(VgjpL|b==Y47)FFPDr(ELG%xJP0%KfG5&z#kO*@IBLQ!k!H zlcuQ?jRC2s#ePvkpns}I&21rJdKfeR+_3m!_7g$;({uD1{I zw3m%?E2r+uf3Ic&y=x6PHA@N8U*Gs~{}g~?;o0irw-Ll#DIz0B_3YeS^J1UZg)1rZ zuSP2bStFWxzEl7gA#ianB#*H;U?$GX-#DKITIZy?Ve{s296||Ch?0DCLQi{=)oz^M z$f#UEdBFVDQUv2PC}W^z?1g1W5?uW_(Qd*O&xAQevq zK5Ho;7+_TR<^nLSKv85VLGS(KVzy-h{yh>H7O9@Z&z?O{kpYW2t*xKo>t2hEw5Ui3 zNrp{4AAy8*T|1(Uv(Wx#5t3ldcPjw-0Z;iv9j&hVdJTUuoZGgWGSdM%?lB8G5WX@? zf<^(-v{Hz_D3g>kBCdYt-9lB>a~~$-rZK3J^OfjH%69u4I&ZS6^R}?Rxu$KiH5v{vgt+LM#VatDxI z$QSm($;s@XEmw=2le!A&s9dWae_G;X#XI$BZ=ACr%2xit&r}tT*>7eI1D4q5A>)~9 z-Xptgnazdr>L7ngCk?6KnCqJXBY`o@WYI??q~Bu@?!C+tL6DV-TXY-K9L?jxHY3_T zTq^we_F#XJrw%=>^yk@~ALtLq=L6{|7Gl4D|1Mdn#~*YEwlN)(2=*<7{%ZUEB(Np! z4w+VB>uTJ>rF^hx)?uV%Z{ausC(g>twN1E@UA@y~_iGJm0kvrh%|pc|EU+Kfv`y=c zUw6hu&O%F6?Pd%?88DPfdi3bg+Fuy4Isr9l;V6b#q7i@S)7PzAckb8iLO_@%`W-`+ zT<38$Ceg6ff=OGuBhml9In|h=BnYQn1meL@9cUPp#(emYXX z`RtQ90ZSXptR1%~OKFC_wV+P6?!kPl0-8b`@G;nR5`w&E93XHm0C-Q?(&eatJ{X5s zHD7l|z0{HpqB8j9_iEU*R+o!sqSfIkV*%{;idD$MXDT(WHY)h0XW-iF7vzp)L&B-c z$^Q#aAizQ;k$^=2+b`9$LJaUcUNNpoi$u}{jn^VY-M+GkUvU1@Ajro5P{;Tkq;5u8 zhC$yGrQ?1#{+~CB0j|dMP+3JhvW=x|T(E zaLo{IjlAw4edR%nxXwbGb+|V_Q$>|ap)ug85}QU|&dXqBE8be9&T8RbsoxA^ z!O7UwwleyaMW9mZfw#;f7J}&niaO?1>Q<>{TLP~&*Xc(@pXhAH=m}!dz)$D{ZEv{l z#p;cso3D$GnLK%ou6YWoC2|)HP+S6qM9q^4_Q)jFrv2uMpO_=C`>FLXN{E^oHEWVB zLDBZ%9RJn5_4^Is(U@>YHpk%#fVK8ct zGF18KVZZQP7z(xC2tV~Id}jZIQ9R%g(~E==FU3tRw81 zeKAkmmpFRdY!+~QyzA6Y99cHxSzHFfpVwg2LaS~Z6?hE>_Yq#XT8!$CeHp48u)LP- zvEkXXZJ5(-wdrQ0vbl&y?)S%x6CbC2Dg@_Lwz2*M#Xc^NR4ervj8+{|ue_qRgfh24 zHg;yAnB3;5jS+#8eOrjLsn&*g#QIo7Xr?h*TH0=z>{J&%++;+PR6ZJ&)GJ@cN^4_= zc1D3kVRD?gUj9^AMOM7L1@-A9OJ<;A+p%Lvq3zGPx1U35LT#;r!nYbQfe%n@G!*nHnaC~CP@Z5__{8nk zqK6$vSQ=~r1A0uC4e-3{7iJzJo-;uEp0Ma6?PnpsvPR5gU&qW4rvx8Lo(7|I6(-<( z`TUfT9SbR9fvxbARWz9c5XVY|sTR*Tl)TLydC-DHV#YsX08g`)QCp7Y4Q!8s?EwoF z8o2SY9h_k9J`%Z3Qr?ufY^h{7_F~p_m#DFI%`RVo(#>IRQqQAx2$iPkjaF%qNiomO z=mkNToFgzS>03Yw1eAX>U-hg;>_wER0F9~L+E)^VU1M~q7dgoT4%F|e>s>ryUA;%m zPC85sPTh*)(~=YApk`hBa;s?^I?)f7l6g$KxAM6hT4eJDO1zK27TBoDuxf`7)grBs z2BSKSxe;0v7CpWlx*z->cdggdceDn_`LnV=rUo6sfmZap~#u!4)NYyC#* zLwEPO7OS=a1;-c{U7c^}MyDYEV2PNy?v*}xHI}fkvf`nv7CfFgp13>crJ63j?}uM4 zCcCRmEechTIawld+E7{RHISUxvoWmU%e5n}1uq8krcE*|l;J66mQ?u|S)h;S(fH_S zcwL-m;Uz?7L{B!V0GOF$6<5Z(tq$+aVca1re)O(9rnAeE6Uud~!ThAqs&323r(3l8 zA<+IFK*)Y9To{}}74u7}O<&?vmtw;{O5SmT6Lmg-Bx@a`fV}6={Pm*WF}_~=_BI-D9Gr9l$A^1w+&HMKKQ%IgU{`}{)lzXK7pM(TV%!YA)$ao?&Q0Oo zAMQ9Q9`N#s@`_R9_K&Fc_>7>3If$V`L=M*Kywz2>9=9M4Yr~|N`mnM~+rv!*#(u_sR zgyBNZ8U^o;>R>)xNVZ$L&7q_8?24aJvm?j@h-#?B zkhzy#WTbd^rtC(RjLDAdK8{w`^=w^sKQW<6Um0}BFcLi2wzl0t<&o%TqwxZTC)@(q z&T1`v)dF0}5EORdCO@u zHzrMc(v*H}tPfE+Ab?m5HY)*L;0=((tSaFtQm=QM4jX_`nj5_tJ=i^~8UV~4lW--I z4?DdMm2{~#FKGc_K>>uY7Wp|I$_KkGedQP^xNYv@0Nn$BnP_p9NTPafV3=8uAcQ4s&odU|=2tQRF&|?+k4O^eBtxRz zJk* zrhz${4afE`0AVBYy_$wGP(Jrq>_8cep4f+oE_Jd!MCUF#&QG_c7;Qpl3>fPQjHsB( zWjRn@_;M%Y^h&CLz!`eoo5 zjLDxyXe=>E(`~#8$erlfAQ{zejC|&{q1{p!<1MPp1K*0kQRax80g~z3vHg&N_nM)_ zPDzi5YSV_@n0G&#G+-st=~FM26B;q72wSlj5&NlVJW-?>!eu_~O7|T5uwuc^GmWA2 z8$$r@#oZ!$P8j&apl>YEe7O(b4uEPk_DZHgQ%>d#fda}s^_DN@g6NEh9PovolV=NV z97Iq9;m0AE*kBywG||OYR@B3_KlsS?6Tp__aXbOSW4<>6slOKuYBhw}H7KZ!)Z{eW zmT0&yN@<7(#GwyBhJd!fhuZlU^|*}U5E6a~17;xv5h8+7L}r{pUjT`CP-@UDlQD0C zZf^awTKnciOL@h_qj0P~=tamQIUBBH`_R||Y9NmcaK20uW`HW_G@LokfHfSOm)@NA zTQvg^oXhX$qt_ik>Yri=f-a>95vyZ(Z7Yx~V2fuxA+n5y0=P@rmE!co&{mIY)_USF zwTdsY*C0~X!F}bA5VtA06t(M~;pnPW=BMgkgEtwZJ96!rOk)JToiacLmL33n2ymXF zCr8f$5+>LwwF+=5Urxs^KYL@|0D*5~)D060@b*XzAn~h4QEFEfgdpw03$;Zh78k1$ zZjj}WN%N7if=b|q6w2Ul9_!k)S*9vMGJs}l=kTLE5uY-@PkQfA@YKuH)5& zf-(}wee}6gxM*|AooMyG?nNvfjK*TwL zuAu`I$}6q~CMEM59Ck(;TsOqkmiBL=tYp4ywb^g(K4_O?d2)a@@Oj$#|8O$xW{xov zw8m2oK%CG#8GL+p({V{@6xb5n)T0Z09I%J4gb)LwNy=K;(w5^mnt#Y6Imn>Fb~!bz z{mUFdX11*fIad+N=@~k=dFUu&aJ+yT^r*i^nj~v~s6?(y&Z5VU#f9MQh(9q^7PTs& zVY}~B-pmtR4L>(b(4Q8LL&pQk{-WqD(NRtCiIJTI^3!D9JZ}lSs@LT8!Dl zblGtgXTCZ0@#4E2O9Y9!@Y??&%DYivq$~1xFZx5IN)GDk_1v#?IEA2m-nopFkXSJ= z!*Fiy0y=UOuX!GCjNSh-V;}Zx6o2|cIRVnc&Cc5l^FOT7BpJq!!F@ij&^vTh@n=@5<+Q6ZRSs;V;v*)o(6{*<|U;h_NA zEn*5;dWVT~JQD)Th*dOrB&UUIc+3gT!Q)md7v=A$e^|L9?~!fBNyS&27E_r2aCgjY zsG>a419p;wI7zqgc8{*6BBQ(-n?O^*#Ax>Q{i+UsxKxHW`8|1J)Zf>fnG)_D_?F1K z!Tb|h8;OpDkp#X*jzrQ|n2*(?dWr_FO27*Y)yQF5_#R3xpqs#7 z;{d_nk9Z-3pS3Vb|c37*kVW zJ{KZ4sYj!m^m?X?n|xq|dvbVD^mX})kX28)aJV2OKM)IrMAf5XFn|Q6VA8gG#J%A| z$N<*j{uYE!7XB|di-ZsG=g87=Y&_Kh5`jcd)a_A*;BBM^nlt4vO<4uSA`q8K&PwnA zhd@w+dz$jK$KLaL@D_wmgaq*z?7`2&kCktL!}tcuJY?-xkdD|&pmA&f=8W!(^J=A3 zQxYI#)O80z&zT#O7=L@kdV{KPs%>9F1}u<%NKV_KDneoVNJU**N{TK` z^e0cI#Eq!*;m)lVRx{TVgpTS-C3Tlyhi(>~@HxQtQuPog3U7l121y|dcPS2Kgl9OZ zAW*NUW~GB6Two@oLlV(SHYejr=#-w>ypoWd9eLA(a_B)=^f55q;~7YQ{Ro3C<^x!% za04J8G153mE!+39=`URfM5^G)%iD7GFSXE|``@XB$U;9Ei0+#V9|ydDF9rv@S>HQd zjT!WV=%8ipl@vF*aVPrhycSofCeo2N4gqvxfXFaMvlUYg=RM8g=ZbI8GGGVx zESK;|P*7Y!lR=(R{Mp|sN_5A~0siH2#J&}Y{Lf(e|4pL;2F z&?;$pH%H?chTWe&pt_w+qEkx+g35JOxupk}@B1#BM97@iCl@_(S)l!#7#_H}`4ngl zMfE*!E;_ zf}l#Mw7gi*aS=`Ad2@5~EPfE5Q+*oqvCu8WLi|ep5_}ip2!4Q48Bje}9NY3#|@D5zQ4A|ijl%{bY02spu*jp+qQydEie?mu$mB77{e02VN_MbsHJ z8hZ2FXuQ-s6;kBe*7^IYb%PqHX0@s|fEX4Jf;sw7DjVw_6RE+-)$7*Pl74E&+7z<& z7K?hdfTzC@i>Ck~@HKZoe1VQ{%jbZ|fTPg4WLC+WJhCEH2hT1N(xF2rnGfP8yH~` z8l1+oJk$I?=kc(6%-g3n7!e3n*gcHo!gcG$q6hH4n6MeT-gbCze+u^RB%z42so`f~ zc|S4avKP-N>^FL4nxNh%gd$U##SsQl#10D$+;YG1>t@dHGH|lOFe#TXMdISr@bT}T zI(+%{y~IHfj7GPSjym%-T#G@#reGG06X*)6_-KG7g>yCZxrnqTdL80y)Y~ZidvH;q zI??hqF4s*#Lp|^|`-c>29inv52}0XN*94?MI)fWG2)DipApAiLds=+|cpQkK0)*I= zT4Nbc)H$R(3&#ktU@8t6B*Rq&-HOY*hkux$asy5GzD*o7;LA%Kqz`3AU`oQbp}QWn38-1gK}5;uK_$k}-C$n(!C20iEJisX*odAt3AI}h2H2cwXWfRR$$?R8y82AGU3s^M<80+i3!$WaY zP4KGMwL#CDPz#O5ib~sf)>!&6a6+rPP!M6dfP6mWF)~d8>S4Pv!9xkt&cxa@%Aujk zAw4l=YrD~^ap-Jg@^1R!Z^D3i<)GQCyrwaq=-9D!V6A+D@}ZX3cmGTfutc!b%Xy^^ ziZ3@GYE=W%!lU~cyAI?*EhFNJ8 zDzAXb^OP0eO%^m3=7GtjYl5b0JX%zG(fd+{f zw`3^*I+-T~DS@?6J}P5&7`m`nAoVsr6WsSr{QBq_858gX>f}@pW;Zrxcwygy;F8Wj*?XS2eN!uQ@%d=WAlL`&USfTehyJ?6Y2Iv6$NcQ2Fri4WJgwVCex)|H#|aaN;+>jwn%KI*&~B6QiYP zOJAvf0X>T+d3i6ooLqrl1H_9KDc_qVSk!UOm%dDY)A=V#D1~ZK9YaujrT;bb@KD}_LsA5(?pblFR7=i2e@vd^DC-Gb#Y_kcH?FV<81n}a zr4?+g`alg9-?sX;BQNXet6V}!FbbHHo(QryPOlOcpl85a)}inP#!YfJSU^*Y%lj$E zF171j!n4w8NQ9NZN>ict>qx`9lSw-DvFca_4(KchUkuZqie!QxD_{xN+F!ZQ6HNi7 zfM2;Xm2J%%0N*8X7Z-m*MSKWLiQVXUc9mJ;2@2SAh1f9@#0w2Qiev>~N_-2W>%^NF z!^M@?n6R}T)enS>(M?QfLhp2E1hJZl)sF0~3 zB%RgT`u8yNv=Al4Oq-UVntfc>HDX0aF{Kw>0?dH9O+w9xs}>zf?%-}bSp*O!raeZ# zpl9gAk{Y|nX{3TwIM(1Ke+pCbLEx^3TABpnB&~||rGDH=co3{NJ7N|9jf^EQiv9Vs zWNrX#?cTWBK>ZzC*yYcwsy@N~+D8NaqkJ0bl`|FLxBPB=paC`p!tE5EYE16SmRjLD z?+57X3$;HnjX{1qNf=gw4glq&E$&PtN@u!ymmM3L*FeFNNbA%@y8udc+Ua{G1E0=< z-$`<<2XGUV9jOouUPoC|keH01e)V10@H59d#t z#Q+~65|79g+>9xxjB5c5IGro>|9=9fE-#ZryJ+$413el%DXbCn#s@%=1a)#eOlVXI zIsa0#VB~vCm#~J0G)|c~h8HPs3<2$z*ImbjsHjT_eLX*y{ZiQc`$vZIMu2M=x(o*K z<2N88O9nkrE@9r>Fx@>vIiVqoX|Q+Fw&^OMlcsTKjqqjV(BKFS9_B-Qt^*sli?w+t1viu5(D*$QGJ=-mKQPgo6#lX_>69(q z0P_m>M*&--G#CE)cs3Y*g>d~w6#%p`B@If>CfS4H0#A|$9!YF$D}bx+pcsWR!SEN$ zyi3brWJJrMD2W=(!L@K61sKt929)=3ur?a;lWKo~C5Gva;~m-q2o90Nr%)C*6Ezx{ zVt~mmW>K}L9Q#{rROQF!M1Rx=+`LSGY{Qn#8(0?|W+{t!zsxU)*6m=qqy(2lId4La zC|5%BKE7<<2bq26%GMg^AME_*`LHGapX*DmuUfX{{TAJey3@07wJNNZ-&4}QNB?8& zhS0a+BYfR_A)`3j;{P`TcmA;sin6#UTY~t+kkq~S$BG&Z8J-7nv7VdAO`|Af+JoqrFZF9!x=;-5+kfHZiRPzCR900{( zptB8XLWA4$vHvXC6g_THXy&xET)Dp+VOe$J@%{V#?tEA%M1G2&?^(_Gan11xntc7% z+FAFw^8$ivckMEG_OD5ov*$6VrMFV@uZ2!erorDO?4{U}g_kA&kP#*u761PHul}oc zI}8XPm1yG^9nh$h{Oc<-RcQhw?}6aZb3Oqd-!aOci`jV|)X8BS(0iC~{9_h+0*^E? zPbK>!QJugeDJ4r3K6?0-rabT_I=HB+ue!%v(^GKIo=Eqwlx4JAQ+%0M{_5=!h5^PqckUb!bhQmb{H&n4dB2yU_hVtl z$Kw`Y6*Ryt_IPDS!teb#hD@w6KMYrLMg~Ti*(iDT>ljUmSI^xBqZ(%{>C@(=haahN zZ`7+-bRZZDF*rh;;fa+h@FIT!3wAj8%r_j&etQ4@liPppUU4Eo12=@phre`q>7lcA z0X+pbmZiJ_Yqz<akd}h@rC!RZbczBf9 zPc^jE9l0@a0FC|mfuq>+T3k`Fu#^H9tPaM&*1#`-A&NBUG;7rfNLh` z*N0@`G!(wKot;-KJx&byVOz1VG#UzYvcT_sH*rwMK4mYycY9+G6GWJl@DmvBLeJ;~ zSn_jZH##gvq*^#Z5~Jd(>S`pHMc9J}p$S=ayNrUZTPtuL%-%~d@7g7J`S%8#`~9%f zybNv2*I69#4*1Yw@4|zIZX0XscBGm&pwHhE2Sn%OWZpOrJ4jwJ47LnZ3naJSAxhrL zdC>`e^+D?SNE6oPaUi8F6IsRaAi*y%7lVt^=q#J;M&>*$4TiMGsvup z1tETZdqs+V*zc@o_A7%phliYTKmcMO_`kp*OK!(J`kDtY}>E#TTz;e zLLwze5}7iDR3cL$Q%FUI%!G{5BpE{@%2=5RnMH#kQc~t2qLMK(Q+)eWy}$Rr*6;tV zuk}1@Jwx5D`?}8SJdb1Vee7L+8Qx{kWd?$vG=P8_K`OGaT&}LJM#8s0P?9**lb{ur zgVe8?%t3D@Wc`UH^Zq(hrCgEX%~B+zl7X!=*D|vFA{7Oi?v2r7kWT1Kuq2-$?*kPD ztJM?K#61hc=_4?*zWe|&-ZHuW9KQx%?h67Bdj?AHs>i)^Gc%tNE=l*p1K_T4TiBgD zBwGONA%B|{q5_HEzyBPR0OT_va?$o11<-}vi5gGd%5DMoj33OW@9%n|)_c*`wuJ(S z@2qVd51j4-rDka<2srb^e5SaBY_co3QyR)K4&elv)l*ep?QT|Lmz(nX>l~ZqOKg1G z_ou!x_azl)`*B5xvV1kHp$8@Aq%dh6#ni=T47|VujEj#?&c&rr)xZv=y70SVOtkHX zoRpek+Mdr3Od$~W_3$ILLn#f1lhnIW)gHmbI)#F#QVsx5X;K)*V79L4D)2^osU= z)6P#nT5|>@Cq6<16hDWU0%FXa`3$EVzN^U{x8SPtIl4<&jMeic#@5UG@~w; z;U9;iVHxFbpd5lwP3kM&yjewZ7)hvjS!Jam{s_4o*y-HDNBRz7ot70AqS2{1xDDHUDk2-MKkcP3Ynb;Uh%xM4cV^psx6Q6`ids)`aog-rc(o!Tzzz zT_@@6&(XODxPR*0InD17zScjbm8KaV7x!|Ie~q)NE6Lbk0(A`1KL9TNWaE)Of1cx^ z+HTyMAXxEY3gIw!Xg7*GxuZvEkW=9|yL-bL#TB#tLf%<%9QI-oOoR=>7by z`?vlsvgDj(LCVslOMfJ>@$vDYwBx^G2Q6dvicd(4V>V$xya#mZG*nbn6i-yjXMrEt zT%0S-I0V*keIB%mm1b3^kI>zsChuJj@t(z4lV3oBmayuO1rWx=h+H7g3Ao>KK&za5 z1*I_S1DimhV3lmDJ*^DKV1D>`d_3T8w4VA!|HBWz+4t;ulYHI)Ud^e;*P;NXhZcUR zr`akhNHf7~$rkek9ebZ+u0?xwG0_C`P&|Og4YM9rqshyJIfPmCA-rvi_E_yAi1opN zlg({Rfd%*#g-2P*mVh~1N@={*xiQU?%OM~@2OnC^oM-NH`;q&THav%<$K1jpbW0@L zA*FS8dU_kM!Tu7stOfr3X_wN9Q}dLhp>CSymIvmqZm?MX9@N#{@k<|}18X*CDv^z*a(xsz?2XzhtI&M=*bm; zcLk>;-lQY!L1!^C<20CA`Tm*fC782yj5#NzVQD|d-UqW{bgVBSAHX-Y7k9%z8-?3^ z!xW}*4WhC6l@n_{yEFaoI&#((QvIBo5{VdsiG7*f5*Ye*hiA;*6R7<7@gz&B*G`FX zVvKGzFa?-%3-R$qSSyLrfaGgCEM)Qfxp;XiP#<{1=57P31MPg9?VsGIPV=W@8;p7Q zkQ)1lZ1fte@)W~m+?DsvDPK^`*pT=uwSPgDdfBoFiN`YR{4Q_rHru63N=R7rw=v9$ zw>4Ir^GDr=U9;8xxP>!Y%A~ns3++YBoDO~nENK){J@U_4m)u-k3M|oOfU{W+llL^S zc8u4xm&rW}EPhmeNDN2;*S7}z6>5cCNP?cKV z|9v)5M#lcfzpkYSA&cSpkdC&x_8Vdjta}nxGiH+?`f!g^W{bhp=3C|;3;8_w3Q9BS zgpV!ug7+_2_`pycEbdiu2Y2sYfh7*g@F?8qDC+uGi!nTsqJQlf4v%=0^Au0O*4`Ph zSbe~Os3@x;^&8Hnt;#{Fx^BDG$H)FHxp)K=m9)#k$Rb($w`+Tih0Mlhh5V|fe(F?x zdHEH@k#ck%qJFE~-@qSYRJeF1BjNvUwMAcnC+tnRV%od@*I9n+lD=W>6&k%FOYi0CbHUt!v7VUCtgl{dNDO+ z!K$G{3nF2OvHwy|2IH_>JCPuTIYO^B$e%>M2k9vU6)?`afsM_2)Ooi2qZx?@9#yly zC1ap|k%2-&DbU%fx$f;ZyoHcq04%F10Ex3i>GQc?1=Bz7r|8mc*|LZC^`jGsV0_j~ z8~v^UIN8>|tAP)Da(5srGS3r7Z(c>Eu?9&U6mG`89d;bAW}i)R#Tqu>Jl83+X2X9< z*{j>SaEBOvM2p%kL3x~-8-7Xy!M`ZZU!d^bEtLyoIz`hi8hsL~P^ICIW;x-awsGOb z%m**K<($$($3UOAODWtFoVvEeW7+r@BAss60JbtoMny-H@H-tPGg1%=3erm(eQ43! z>=W^QAkNsxs71n;7;;1Kv5Z2}aWP0vV`pbaQGfTz;R}zr9V?DLiYK7bbJ#193|TCC zcjHPLm^y7KtEgB)!CSY_rc2u7hQib>Y*yZFxx6kHd_Hg5>a~iRPFUuz)pStDQ|r#H z*o`**U=z2e1w^S`XulgLR;*?Ul{)8{RV!DHpdQ@L!?PNAH+{4qL@)6!CExG{Nniwq zxb2nmjiKd(ZHg>v$Wg#&zLxZKbjgwjv7PYHAW8N;$)$*vVkN)D*}0%O9mflt$*19P zynf@x>nKAXx7O(9==hUO7DWNc!6JzOcOH`67qIzzj2W2In>I5_aRPpwCNCj$DRtR@$rEILBcZU^zLn zSLf+^6O;Zm$XG*vHMMbFgCzFUP=%eJR&SQFvXY%agByhSHb4~d;6X{QhzvWtzqz2{ zxrP&@8#J)2FFl=@&$+8psP$7EJiOeQ-mT>{^Zw7~=i1{hLITJEx}~&&N;`*x75?oH z8U%IlN(UiH5xZWvWgg&V;!q_#eCguFBW7mYB>EvG07_|du$t={cxOPE3B&g|t#G3# z7Z)u&_i0zG$ZT%B1C%y~O!aSV+BH5d_~>mNU+!ZOnEbo?+_>KZvGEN+H2se=3M@$a z(HfB6D8vO@*dW{*u63;`Ghaa>$`##Cis3s(DBB=g{qU=O1iK{^8_Lvxq2( z$)J2j4QUIxq#L$0k{3<_Yk>tE<_(KSt3u*8N!Avou~UqPG~sAsgWjG%1TbSF*at@A zH*DT~3ljo8cz=kwz~0FnLB~emp8XkP4bO2+qv&8rI0l@ZN5;ox?Cpg}gbaND>44_% zyGP4FO|^iCZyR9B=g*(thI0Yu35m1D%7Dyl6jN^9@bi3$@m#Y|(U4;tB%B8a&kgwT zb>S!@KFP`xPHX75B0TPUTiy@J$|ExBx?Trqw<633BH$;paxas~*TkiVxYPg7rf>wk z^>MxWl-%>;U>WBPQHQ#+E>SHcII;+c?;5E5_ej^K^%neIV@H+U1# zc@HNwUOGKCGV&ZM{IYv_P`teapb50&+{uGqzkZeVc!g^=y~rjr;XmN<@-K=wOe_Iy z+iYTmU4s^x}@}WsF3|f%%t0+XBBZ;Iz^`T7qmA{=~+}tr~X$rAP0?gAH zn{$a~Y9Z435}k-God~NV54%}7mcl-a11m*IY{oMur7v1Yl_aZHwuSU9vqA*d?G; z-^M|gZhKtjzta#-BSa#f7|WxhtN-CmZaSICb{n80Ofu z>qwIN;(h2^t^enPvJUub?yx$@O&z=U*L^1Cj-t4eU6h}Db5C+@%(wZxgc5@SlXmS| zM|;zW*1xSNMH)OlQh<8Cce6BQ@x!<2-G~&8$-du(Af)cE-^_Aa z>&`W}dWH3x=jiN`>zT!*d>OU1yB!=6aEvVnev~y+K>9miCIP4qas01c>mBfV;y+Ig z$=sizpdy8%KixD?0+I+14td2>^QN^RUa2VUXz$VP9I>+#fG6B`sa^oE-abBujg5_; zMHVR8^Zh%oaMKb_a)*BJEG<>Fy96aAP^)EF14>c}fH0jVTTE1SbbK&3NR6p<8Wpj& zBEXg895Hv}RXy_JXyYQ2LCB0gV#Aja_)JHp;<52;$u%6fVizlOTHH$SN3xZ?rxQ_IaO zvL5Ys`0c!n-Ru}(olH1Sj9x~5IZ#IHiw9A;kgN-yPbZX=WYDCYHsG++SS(zE-)z9$a+CV`x4*Q^Q3+@ zCv=3WKhThl*$<{djsqzr1OXYrRCD~xgfr1cAcPZ{3c7@0}Scr>4 zCvY9w*h9QwB!&$Ym8V*gz4RBEZ>$ndD(%B~qtfOC2MtlH<_rhE4*i2;+(Xcnu`NR% zeqvBW#7c^&%Q#md)Etbl4X)S%LCG9KB~u450^BSW1Y}MyBD#I=Ufw&fKl2#0+O{hP>nTOiZ*uM@Wdw)xWYzYVm5MBgQ(PfZvNTVtMVNr(&PeP>N zjuiKfnb+FdWEe`vsz`H&yy)mS?KX(&hm(;7`Daf%0?#yH;|>ZB_lCu7G-S;?fq!=W z_z{R(U;xSRG(ym9p%aaKr>yZnINRB)Av z%HU1#DE4{GyIFiH-i#h2+er^S8-^>9VI9+2f_SF$CMJe}MV&D7nh9*hHTmLq1zx>; zPcZq!QQ-S1R9`r?3<0d7Dhbzc2cU!PCVQ2vKZ{saMMDYl{9W?AO@cpm@G8 zVV>C}`lOO+pM&$$q)Md+dt3uv0Ix8BSg>JhMq=Xn+Bbj?(XG1h?7UOM|4S*k!HmR_ zbh=MHP>m#?hi(!U(9)7kK6*&;mUoZmEx zVxr8kks~=rC#_s@V!+Jr7&WI;8un(3*&;1n5^&;KeSQ=n3Q84Ykj-o%hY)m*0c7;| z8%Nd-sMHcQJ@SS{Cbnm$Fk)*&I3MLXtgMKeQhjnMRF1xFP^DyOoRLWnSm?%f8FXYd zvk)x~d5S0Qs&81w1tDfPgq~15Jv}M#AkVJIg$pugh>M0lq90KO2(-zjX%g_ClU_yx zlWJ#h5$=vc7+^kjizd z2l@(5`bzk!gDqX{9Kk z9$U=0GlYOMP(l~>10#uhXAnQ9i@}nzA@q?=g{AAHrls2vikRl$A(QU6SO(hBA~Xo; z#`F{tWtx49nL-*D)OeJ$&?6f24Rw@y97Nx+6fc4sXs1QBRMy zy0&&576>ag!&P8;0X&m%CK4l!3z353Vi8Lo)XUQd(7;a(K<7sYM4dDSU>zt@USjuH z&%m%O#xA!DqF*D8(n;p!lT1tP3P_MG;w;@#|C`Y22+R=qFD{J1+#HAUox6A0`S{ks zqp6`froI9g6)b}Nu%99>WgT8{iBD(}w}-uLod_phC=Rz>dNs z))&q;>Vs1dG$xLQPxNK$Mvk7de#gAy3p0KTy4EEWoX;oxhcMpB!>d9Cv3T8&DJs6g1Z-I@Jiel;q<|q2sFgxGBm6Vro}E3so*HFl3?R{I9H{R>s}`|dLTXC5 z*hNlAXjg&^2QYbLJ@qjTI(WP@5x56c7{Q$=&!O0lRp(CYFUswC{>kvU&F4er{ei7x z(<^0 zJEF~}c-GV?5nv0g(={3PD}YI{34^TN#d#f5DSY!IJ&9wQVHT`xlivpU55F^+cFs}{ zfsx-k3iq4Y^$j%Wh2v8WptUYr$ZN*VbcBa~83lmhHOL|s3%Jz9qGv799fCRA2CRUP z@&NU@IIUJgEVmSK=oC+s$n4v;JvZnCAc*3Af58dvPy@WT1_!~XJ%`Hk^EcyPXQELD zc()-EV+UfJ%p{^@*k7P5F4u8H`F{km+j7yUz4dwnh{7(lRdNs}v z5>6$D86PT&$NWr!hWxkIfIpi@=ZM+>6vU0(>8_c0VVGg!{V`!3f}YE1tg+Ew1NC~( zVxX_@7C!UV!C4ZPiF16PSB4+l|0HIj zGLt4P8^%&U_JQ%Y91lO|9EFRH9Lj*gmvYvw?g)-SyboHgn0-QgW?6rDEy&zlucBDk zl%AScSn7DNHs+reASNs7>E2s?gf%gG#Dl4>0OeKd!I^&Q&jqBEQ>X;=D@=LSO=6r@ ze6=zdyDo7eO3sB-INAyNA6s}+UHPJaLpE>@^cXPb!>3Md#>D67y8}PYVlQF{d5R5s z8VJ@X_7dMfVW<%Rt>%cWjhp>Lz}qDfN*R>!GL?JYn-4fzjW{*pBrv`-)nkO45PVL9vN(|ebw&%d3+5qR1xNSa;l4=})DhO=>GauT0k z1~M#pr;~&DgM3<96fbocRr7VvHEXC&RvaR4;L&JoQvP(Ve?SLn6|rmD2eY*ocGix( ziTWI7{F_l#QTWDb|HHBCO@{3U8rMKw(|wUR?i7(vWyPk2l7|;Jo(&<1fGvc?^SpY0 z0Z3w)OI^JCHf5to5%5Fdj$@Ss(qk(}Z%f!pFYG7~<5u^dGRq~!(_YRkt4%(gieR9-V*(7Qd?i+rW;Z#llvVz6pu*!YGDWCC;AQMUIhK$?P!BuxaNXwFs_Ha(m=F69PLYKT>cqTNF2MV(3ag$m| zghEcZ!5cq~drIG)Tx4Cpo`SO=rLB!j#O)8we{!^8&-R+kuX;$FC9L{~wYl#E_ScuV zyMF2IHH0EuIQ@}I2o~0_(uJvo)LH(>#MmxjK{T3QZ1|py2j{1iKGmtU8O;F&sNE2q zbEa%{sdjj>vQuf+yjrO*}Bh5~;5SEWA ztqGq8r=jD_u9bA?-$;R<*48I|IrW@U7e#dEmF>P1?TbbVw zQgxn0+7s9UoqiAO?&N?S=QskBBdO?_2)IPqL9*GEhCjI9{8NwRLz$8p)epDRGBqmf zV9;Kz@~qy}k#_q1tNN>akFjUVw>R=Vd1xZq^90^H(CO^&NIjicromM537ZsDQMwFE zlW{*4ZNR!vLItnFW9JICK0;EWV8RrRL;|duo+SPFb8N`5b%N?8;#FY12#Y4#FJNDB zSOyeNsBKeqa*{POUTnVqyF@HRc!jgMxy6z-m;6-TLem1@jTICW8!4F`U?pr20Z&=q zMla@zvIH+OX(P`Y84;)r>Pj5)fMQ=)SHFaW3;=eeOObu&A5^!$47&MMF?L1+e^5Y7 zC3?@HX0%M1BlENxzVO9(?9-;9{Zu;xNtNyPM`Xw^xhXO@SZ$yO zBCV~`U&FF7>S*xgbr7J&D`;Us{73Y~pP<%FLE%wn_*_jOJ-ssKf2dSjo<#_>(*C;F z&z2m=$)}%}n0lprY~t9lqbJHRYl^AvN_JXW?84{RxVXc5>eWHxIU}Xh-M-9~u_g0` zU}g{k_sTHqhHU(XS}phDm9gpQrjS)u-&Pv>7=;ijrsuC-z2eo{vO$>o7YABC)d$}G z{+k$&kgysm3Mfcw3h>!jbhi5^63z&va6%pj7oP*9yWf{OmooKo6(1#0=_%|kTkL<$ zlIbT3_n9BinbqX(<>K0>;P+{jzw8cPFXHg&>i}%F!)%Nn@4=wtveopBjrA@L6-?uk zld?EGsnpY@^w~_FHa69!r}ZrLR86amFze{YC8JIr{&ZFFYzDs?V^y^my7(@jd!n}8 z)DVfWTrLKuww8i%0*jxpNq_Vb1JhI#pjX`J%~`gF>`m7zV2|Q^HT&~?E1D}?Anci6 zmTeGLTHNeZ9{?|Xh0ckJA{W5&0{r3?(uRd*U$RWwDS{bAU?t)02@Pia=&@~$YcZ|m zZ~USUA`<2HsD0(QgM+a+v0IA0SE|g}c6sx!XJJ_#lXd<2qZXq{34k3^WLU-at|sXB#X7e{?k zii^A0>)YE2vn5Z37X zBkMXok_E%UzYJSr**uzXBge;&B?B`s3`rV>ZQCe7QwXGrH>dnJ_)pUBVF%d#E|o>f z%?bIYIZ_^umYdn6zxIBIo|oYVbU>>B3vE0o2bvya>Pz$_BVel{h6XM(?^x3UXb4?= zS>*ikK-|R5lDr{RW;}*tnASFcP?6$k679|q6%~ah1xmA*@F`w`GW{1S3kZAVA3Wm) zU32MISOi+_ekGJ!>$hw%A8&@^=LRMw(~}3G5dxZg5IrP32B_HB*l4d((CtD7x`JF( z8z(2HkKi|@Qy|%wt!3f*g!yF}O#5?OZrMalh1Q>R@PN8h)YZ?QOnv;_zR>Kf|L%c)_Q8_qEFt}aK&!Bdb0pE{vfUwI%xum6IWZn%|2n@8!J%tlntTW zWEU4_#w@8@DIrjxFr_4lZ8$@Z{@*q53VP>TZA7L}n=$WBAhRQZXY};^Fl-uwr3{_2 z0UH)B0S>Wd*2HAxraZbHv*%)kNz+!eHk5ssL9?B7Mn{V7Vb|pV=*c0;@Vj$oBQ-U( zx0XWq#Ztc@FNHMCBiQ3bj(7z|MkehA5sIS;DCPWf=(FF$LlF%e;Z;e$Z3~|R0EVCH z_%L-aczyAVNujlTPYMz&>pd;9H(2p@vBCZ95c z3cdo06i*CsL>iqBHr;@q<+@SyAoJ#}2Uu>_09BGl9W{yN@eC)&tIYj@I=cZSmitcF5a&V)B zIyiZtbbWn3i+K*-u}3vE8Mb2ZkGZYg+VEj4NgDyWlv>zl-r4jJ-?_QiSrB*zK}FG? zErss&skYz)Z*RR-iv*N7pgBmV2CWd%uXSa=V9>4EhTr5%Z-~b~~q^s)OH!?E#$nQc|^cgDvt#fI@ zMY9ZB6gQBL+kAh&oj`s#J80Le$qDy-S~*H{=sEGU12eJ=#J&>@M?k8sBON?v$aZe- zl{iObQ7mEmFFX3QKYMn%GS^mdvV`PsY16I0WxEw-q-^h#fx?_=|eb6R8ksnmE@gdy`hS;y^9APX!GN3?#&ffT^&#L8f^6Rfp7fNw8c>Li39Qu*0v>|T|qYjkKX z-hgZspHH-sgw$l&taj}^9J>K*(^9&IhK9bF>YV}ngJW!=^Jx9^zgJCmb#Q7N(2>=) z7D1d&_3HWu#|~$UN@sAZg(&fWP~2ygeTF%N6~F*ZZmL=X1p+b3p1kx=6Z49QI8cT< z_9=3Pw50KYvyjM$;XHdhkIthRq^jIM=H7cS-8qG!+Y#alSkQbeGrhlyoqY*bn4=?; zj7+`fpG(4*UgU$}BeLudAB@RYwpWs#Aq{%ff0??rr32ONrt zAOv^hm>t2lvOoCuxxALgd5;x?zewJ^$;}=ioYwfuET>S@68GJESdOP|acJrb2fhLR z4<+Vf-+gkAHf(5+`wtuVWeFA+;TQmW8^SNh30)H5hp-9>m`+$IGzs@vIiZAPde^mc z@fn0^{h{nwhT&((26@xTAzK_ynB_MB!bP+T(Bkfc&;Kr&V=^-7-v5*p-g+2jd9^2_ z_$p}`@K#(?cyv`WV|?*vNG-@W89W8!xh)t%nzz6_0 z;Hk(^OS&BtbOn@{0d71rh)dyHK@BqVVLwmsEJQ|`Snh?(wX*6t}& z7`+GV7}wo6d~Q5qf>^N&VD-L-e-G&tP}v>EJtPtkcoXz=BI_KTqq*A}>94DMBh2=! ziW0!9iHWS-z_}YbY3a7c_OPhRPs`|SM~p#!fyQN{CIBi>0imk~sB{I;KXXIZ-aUJ+ z9gcm%O@7itdHR$dUS3|=qepLOSYkXBTma@@0K028xkDgB6nZ#|cV5;v=e`+-!3;Lz zR47?@z4Oa`h@Kw!ljanVyt58%D75Z`h3Pgl0xLob!qA2nm5KuF$}m$iKMG)dd2LCQ zW=c7V{j#~c)qd-P4F4Wm>L)BZOFGW~T$}hS>!9@~38e?(o1~4>PQ7~g2$F(4Am#(j z(x;^@--Uj{%`6{68C1_zV18^pH6dK5`%^Mt&Et)i^fSup2D&USd`;s!?ZWj5C)iMm z#9>xe+GzK!h}oax<7J@bpI~f@@*Jcz#_n%22bzQBe?u9iKb+}WY$F`vXRiM3BU5r*{1~s1B~WJ^fM&b}h{*%XEA1-ShMFcvzSiQ_lWiPPcI*wZE*PhVHA{ z)SVb?d3+H8zNuCNLqnD)J9BaN=gqRT(g{*9OmsL+Q@0^^e{bRAJ-fVLXZ{tCB`;5% zd1<-(0uvqGRUENrF-wR7;yNw_i!BrAd*)lhFksci5|S&R<sfy7-HhqHEJ;+GJ!VU;M2hr#Aerc)IO=?f>BErYVdE z&Az8T7&Q&Av3XSX4Z!z?O`D8P+J)&g!6s~Z%ujbD%sdQ<#|)j;pT=iHo%`$m4S@E^ zITI2b`~(9x+3wmQlw3zuHZ4QZHV78 z*RfgIQt>@Fz8st9#F7(VBv4Lm%JcQ{xzDr$#plYuV>q;sli>m@fxVSCeCfp~P1=Lc z3S*##o;F*rYJ*ZbvZBqq9pPC)=KPvL)Kdn<2Ex0PryTU|HjKMcf*JtDDOKSkW_i)v!ytB(|n(N--^Vaer=A#L=E7CO9QBw=;`Mliu=Xao(qRUWB*#(W5q zzv`b(f zxH860H60V(+XV$rx|Kq$fe0}_>>oX_dbTr8q&^FlnF+N75rttk7YFm9^<7`T-nhBd zg%-zx7btv$A^RDJ(*y8$`__(rvAZ$jf;^NTMjoRAKO*p^HigH)XPlE{97Ak{T`dmS zEoU1IHFXyP1zrLcFk{UV#M~<;!>MqjW9UW}UxKLFvumA)3wq10C#Mib549K-g=i4r zjpKA*18==SFf@ETXa6mZJ@t!!rrDY#t$5tcq z!63=s3%P{4-GMwXkGx670e09~qUymt$3AWfqps{%+u4`f`bUQ@>il2F65z7FUR_33 zR>xusMs3E&?csqD-u?qhK9UTlcfIBgq%)v?J_8^s=?y=925i@c z{!a@4aJgik&eNJr;FoEzJf1Z3qNoM0klYcF(!l@19D^}8P=)rOJOH#x)LlRZJ%P;; znPHk{5Af^e688fTxfjfd7p(fVFgYwym}K^QVS3kI`Q5ChG><%K4(Z&MS5culRIp9& z#Y%xBC3gMiR4T=^`ehr^8fWOE&FSU+G?I7o7+C@zwmP|zBI~O zNBp5>wS3oa%wi9PU{oqQ?T^@Ch=gbWgC`_MVIvb$B7%$%GN49eKiHR& zPyx*n^fJ|ml%vt45XJf46dh8wD=e8p78s4zt4U!zS%|IRgxl<{fa`-E7$%LOFmKv zH%(LY=D`nfqY|-!amt+!K>w+a3a>zlZThm}d z6i_W0-~22BP^M-r)$>i#|2{!(?N)(SVw^$-#_8kvwJ=W(lZvyBOcc+Qjlu|l#4r6Y zw=eed57IX@_4gZ5o`=3ziBwl|m&^>4QgsU74em=%Jm_%fOwnW{>oQ6g^WRTbN#*8} z$>aJ!{sTZp_)A5ZXo`&< zLw(_LzflLIl28{MsqlggeQSIY4&y5wev{usVgupMhp!Gt{j{x;F7Sdpia_Zb%-N#9 zp@OLxKuD9Rqo|ZMuB0{7@Fr#pj2yWrKB_CS$@kB1<>27>jycHN923JGx`@ZPSFJC+yCsVjoVTnw6_4Hk%R=j;Mcm#t0g5C6uA>LDcJZ@gw1i1mBW` zE5J|@2sVZIaZkd>-SDo(n{t7e7XlaJufaXHTzo*q5T^IxN#5Zg$&qB|gEIka_;*%0 zr6&fk9kjCO(!3pwkc*c1Q4xz~I3F$BjiGM5Yd-$|4FIcF>B)(baLvj~6M~9RaX;mnX4_Xe z_@*Sa#=3aa3yCnXTdeXAK^4j~B1)t(sB9iWM+9Sn6L=RipgF=Z1Y;=;SYS^KwwzqL zY&DnHDeQm#ixKwvB!Gu3+Te#MvEVTM8o~D-3-d&qKtffKDp)e;kbJLG=m2 z+Lb2|)9YHugK8iKftaH{N#u|}St=2o1mT4XB+z`WR%G!5yTlyGLjZcGp>wFoc0B)0 z)&ZGgwNm$*9AGDp;+Ej1#(mjvFoZBt2?td@wD#)HTpZ*-U<5M`e+wvfLW+Xtu<&tV ze(E4>%|B=L`nr}3U+jbPF}O(AQ>9nke!C;NhgsnKYoow~M~}ckDU+zzlIiYM@*kiv zR4=r@5Lo%H3I^!)Kt_6M4?jlNbpZ|}Bo?x^HYb40bH1v5ba zo1xZcPJpya!PSKAyp%n40Xb+`fa6$G-y)0M`;!vj$NEh#nlF6@d^R_*p2{!jU!1Rs zVDzQ3?5r(Ryids9`X;z&81E=C|3?;+hJL|gk#DAr?l7d&#J?({`KiqbJXpJ~!~}Y@ zU=HlJ`T3$D@l+J2rHf{LeAsXVG~Y`iaS1T!z9?URe_>5Om|(UkoZxF61}YK;ZBF%6 zFJ9G($5uqVKwiv&aL}mnNFYcfOB8k&A5l}oD-*kX4jN)8^Iv~&!`Y};xf%5Y5gE#> zVZB1^oQl_n7@qgpbBl?c!hn$`@G{uj^Xk3Ft2^CBtSr9DJ z^9=srW8a0H@s|2e!hQA;y2L%W3P9IRmMEp;aLbc$*lhK`w*`)_%eOi`Z{E09LP8Hb zZW9Qag(2pmbEQBxa3k?_OnuqXV`k*G%I4 zFiNjbt!+Dps(7~HS63;(%Zu`As4dmwsL%A%c&1z_AEb0a*4gAHzb>2=*^?#bArK*9 z#T?*6g6tK*#CGM_Qdc@#PfJu0VpI_w3?ZJ*)z;ics z;kTlq;z=~Cwt6rZh1hp@<%9Mi$0Fj%nOY+O)Y|9~CyAyYduT98_aNI3AXBl5UO1m3 z@(E*!`f3#l71*rKH1d@;ZJ%R7a$OQ$==07zAE9Tn$6VTZXX3Yyuh?khj(t=eHpuaf zmIemhMj5_&y^-#`D1Pt(TCs|p(6({`#tp8=AUYmVzDkc%Kc*cuFze4@#IXT83vue# zZ>;@nlL-8SMEs3vANMd8`0B9E$uOYYw$p_jHy1y@9^ev(k=rqKxM=gZ|8l;(CZ#>j z!NaINb3W|RW9ETYZki{`CPEcC^1(vLr^YtGTX`A!ZCUp*k_CXUP@2Mb*p?fh=7seq z$%$~DbSThUN&8y6mk`Fp<`mMq#)Rn0$v|@VaB#>#9i$4&^YQ0P*D<-fS7BczH(VZp zUrOmy0s5Y=-q99E03|>fU48-SvoMdZqOoe?()@%Zz3gM%t4yNJcNz%+l=oeX=zW4lo`}} z`~m_igazPcSW~NY#yu1x%E6%9NoML|fTe7~t^2`6!6fI6B&}e~Dwm@V*ej`Nv&MH1 z&tMnJIW}Pf6Dog4*buLj3`oHHZSgb#$#vwz6z*`v5*1lzVRqC=1J63#;I?t5~QH4Z?d8W2K%ZH@U3Ux|ZN2QCVYm87Z0d)2-B zb)f7)MlGMD@k;OX_w&jOFK7H#WcFlj&PoJJLX zZ4>GL^l#sj4tfaBB%Y?rkbb19CR{?fOIoNV!_9E*E?Jm&h3TIur1V=eC`CAz#!i17 zD0zvaRq<4mqO!8E<}gZbrae~#JwCsQDtmqBUTU@Z4#5-70yhPWs+opt{0L@CS5 zSN+tpt<6KZhZn?oan7f67T+;<`vSdISSXU+9mgb?jMI1}&)>CeuOztqnYSmZwP{Gf z)H~gtM8E5z+b$c~d1eQ;oks6ybYO0x$m6KyMEiSGQL%T&{fWTfJLlq2Pw(X(@D@= zoKXYQM628a<~qj;+;5}8ztdwrw5I9wr4A#bJ;gi4#aqoirc4SEq7WJtm5#|ki3JZe z?VSpDUjNi7S}1)Lxll@VTSQ6+n=}`3vE7`~0jt)%u&Ez70khM)%GK=yjhh-^VKol- zh%Nli5$DJ5n(qxd**>=SyFz|305&tw`H1HsIeR3A83jtqu>iONlLMv>GU>t4jAoa@ zt8XIrJX?97vfGIbE=w_Bk2i7^M6#WUh)!6-^Q*9rB);y*)N1~co5imL_@mpV*TMg!9m$1Crn(tP&>GY;qyunPo-m#WG&kz5_Yd; z0Hs`ZcelX)(@_FOKC0Pc3U+5S5W;@4KremC@BAjO@#XWPXArFoR5Ten^$1DVT!5Cu zls%qz6ojQPIOD_qL-Q{9=gRntxQQ8uPw(NQd0=Q;97qlk(oya<4E>2iKMif%ZloNb zOp=9N+ncYWUJ4~b2dDEeYptR-pRz~rpl3m&6wOSZhOguybJ6pe1-JS!OR@9Axgndkwsw8QS*jTZ_U`6)vMLvwx5Ht&~RrbWM-O) znb?>8`0-Np)(t?5(S7)I%C?`8C|nYM-Y-!9^*oj*w90XQDX3K}lS7xpGd{tm zUz|u_G>jyYU`YUGr@n}7I%;g!(q~UP{l^t{JN5RC?S*MStjYJvi^F3vR?E_uGXSA9 zP&nR{n8R@9VKjxi>m63^$PjZGb5}ZXLZm+lrg+ZNH9V>pq>ld-)&lcRM4W9AK}CVZn^yAia5 z^*I1FFG*>Bd?MOv){7JKv?8sf6_yh|2AfPA-#n}cloUO(hoMBO69Wcj(51|zx1u8Y zTcGVNiYdxA!Ngi%-Ec!n817t{Vd?nzxSq%*ZZ7MZy2u}fII&a@Iz#>FT#+D z&ia*2-48N_$@DkF@?1u#4+P;Zi% zj!x1Hc##5*ms!*z@}wU|iAM55<+eJP@tM2N&bqO#y-6%FNbsHYvx&Qo!|h2JzV4ZU znwnI!4G`Oq)P8_hsfOOL%)az7?T^BZbx}(3L#AJLui~`ipORFA^Es3&4ne6IV@>raX9Rh z2dxo{f!P64+CKDV0aN2)Td zu`f>``Q`k~MfHtGAH<7vR&LlKYl`kY_#s^QzBlSxzs>mpUk71C=DAglKbm==2biI0 zQwL2_Cdr~Ed8`Qb48$y!1i?l`+HI~4Kbz8*94(`ttvon?$c~Zni+ZthU-=mqAbV9K z7~qO(7eDd!cv^`R=w4%y7Nf@L8X#(tvjucyGX?B|!^3uK8g&}NQIVH-KqEu{_ez;w z_Y#RtL}*>WWp6!AfL#y(DxhnE(od20sV!F-FiKU<2?&-+ZcymDEd&QD3B;?|fKDRf z2NP+R!32i16V&os$LH#1MJ#ea*H_m z#;bF(M{%HO;R;qsR3K$50bQVcFxiF;%2#HTo8*H1BiS41{+j^$*FzV8Qd5Jl4l7ou zVl+<}F+^$l&veL~Df+VBrYh<)4>It4u!ST*L}iA}(q*)q(E%0aYqOkc07s~ZNL5Bs zhymmKHV4~YYp@|Q z1jxe9{0L?uB;gcyg;~(p51;-B9tv(hmY#Wlpu!Q>U*`UYZ430qc1oUgL{W`I)06RL z4&!t4mcb7_PMIZV#wi7SuWo%T$lTM)ATp zG-I!CK>+AUB4r2%$`1uJgC!rf^E}b!vDKQ58}Xh-=onG8#ix8vIJSK+y|bOzy)UEbLloRI~Pl zNqy?6kAH{}%|EHI#pwo*O#AZu$UL$}k)!3sr2_JRqi~cPFR~3xfAbrf5U<%{dI@8p z2n-kEM*?cP{vz5-p_G#|sudx8E$5~mK7A@g;+2CpvaqD09w*&mW`V?pBil9OU5F&$GSv?>pwpOP8}qIujL$N zUlmY714r8D8vcLpbP5#0G1z0dfg+$u5jemS%>XG=>S5&*C$wPZUbSInKk5^@odRl` zF;J#}vk@1;z`|njbS9ft?-`Hra>@d-EWRnaJRcM#cX&DqWxyVQ&}d<>$?eA{PGSSU z0M%;nLlj-;58i$8c58$0LKkq}csOJhDXAVf zkbbyx`}Q_@fI@c^!gwvos)ZmG^=U8%ieiU<&k=)Pc#iWtvw<`WzB}IyZtLFt99T396N z5GImM0*H4aL<>Fv0s9ZgpaflvL4gja5t|kfY78}J9zolC8`((8A{`IG>=8l_e=-!C z(FMoXQhSAkH4xBK2maQ-lHgnbG$WZpf7lf0=^!_hZ0jVv2_hpa|GX4iqyq z4jBBXS-Z)TQ5#n|kD0``VdI`Hw&a5MbprSz2o}1>FRdn+4};F;4$oclv8MMBS32~4 zD332eLJkz0A@yiu3<9b>U<#>%bMo9>6cz_$uWEe&rqck&U!r8Jy$p`N2?{y;8*x`} zGHCPM70tfpx$rkhIp#gtb-{w~szq22$w4BqIzS3H`P6t|jili6T_7rXyS986IZ}@e zV;D3fesnL~r&Mr~j42N<$uC?CSwqcV4Il{k)xuPH30{0NFuzd7p9Gag7!&wEGu58J zY#yKr;T`H9LAxx5lwY1rf|*?gSvt6*sMqbpABY2SgbFPl;CRn{V&@AmU4-AP(=e}% za3S&^j3YPy(*k@zMIVEyWo!{YKp-8xtI>&5vX1oN_)O-hQ)K5HYJG&61sOnXBK$g( zPxh9VMV1|vy|qXlqZWA&RXDqR^2vk%3?>A!n7fdWfCku8?UYCR-2~csDUoIZt~b;p0li#yGyqO0B?=MtH%q!dJlpQi{t16ia3kv zI{ld6JeQD=dbIoGJzEKsBlLI(h#;sVNFITxRKd?-e+t0YEIT%gr>aKGBC1YzF(3Xz z2dkXLvlQ+h)2$&#HT;)OvaV9IO9_)kIGL+*di^ z^(9cKBqF(D6vdJTI1&0COKcwfeF--<17`Gd1V%A7)CsLw{BLYL8x@tbR!yxL0HAxp zfTN@b)8O!KECO-8lY~4Q-|RVw{*4bJh*nWjx;ww1?4$X6^jyKa_sX;rk*qV58Tb=- zFP`Sr$}Dpbo(9_JH;Ee40w4JqfFZMl(-V#hkdy*=;gtKLi-8S`rzEKeTO=~VD1!f1 zW-|m^{<*uh=z;+>5i0>D+GJSBjGF&@i%E1S2hFl&$)K-5*Yg60hu`k8VDRKI7=*ls zRn>wssV>0xO>;EZ1#=+hW*vnj7Z~ATrw~Br?gB}<1JN@brcqJ)yJfAck(A$vaT03} zXdA%t^@#4?ouu9U(*)-~QU|<89p*3qrUzu;L6zz~b2K(O=o?6wEJP5MgEnp-&?xv} z-R7Xz+l?76%QAlWc zNFg>O%VUKiSJ|TUw5TX4)ogw<51FDS$)@HhYL%v|QpT#aBuP@r(WxKFMf=r!0Qrj)rK-F2AuW6QVgkqni6IpnXE5`6oPJ zpU8S-$QV+{{`uWv2Xtl89uA2myMHTpYks8B9KC_9sA-xZvwQ({dj_5AXWa0Ekk91g zkf@1E9y&YlL{Ym>NPpLN4-$!dyPGmzb*%qzmcK$MiD3clKcjpQ{(m`k%$aK=YqJWx z$mEGe6RWh7G6D_T!i zWcE??c=JqYYj-wj<3hGHd9OaNyYKFSi3b1dB-`m_Ftq?NFmU9w%S@#&mtCH7F#kP{ zIw>6VA~IU2iYZLG!-qF-%*RW=yNU5N#;t)p1J`$Y44`~|UFD|Cbd0k}HMsM#cFLzz zoc@c#hW#+n`JZ$in2PX1@suhtVv@f185zw>g4Hsm07L&*zGU)HzM&o@(`G-YK8NiA znVEn5@xfO>7IIT%$t++EWap%yy&q1ubdB$pJn==CI1ALwz5uiul*;PPbFV;Kd%O^j zc506bV49x9JEzVfEr0>a1iZ01%C$M{>^%z-#4dxghxhLY(?JV(%-&{ zA#*JVW)?A$sxD)bi(XvS=B2m>g=m)H_ES3Wz^V2=DgY9aC4vWi)euxqMGzm*Ro0?2>bPB=)ra?=^&n-z53TvX!C4wqaf4^De z$_&L*D-(~!e`@2;7^WxY9j*%VKI7hB5K;2!g;xsSVTYjcP^6F9u)R8EbC)g6v z4;Zf}cV1*W$MpYrK>jlsD9+Hz**CI7j7w!kJ$~Kg`O&W0s>-aHr{MmBQ8KZe@6XoSie|` z^FfZ)%x8Io7#yl47{hkg5UahAgD#wo;AnWM7=_ZKB@$=GQ1Jo5;4i1?48HaG{k{W} zkHx=E4r;>=5Ua#ul<>gKi{eaHW3w`$?%7Se?VUK`G4ITr5gYsLGK+LP2PKfdUPMrL zpGWi#jwZOS#6zJM`&4a5SHUxvC8FbvTONdj)0OSdnjmq!$SUo9*)_;8q3*KG0BhGm zA{##ukLzK^m4*HC3iWt~`t*92hTsMUh7U5bTnm>tgBk;-+a;l4E-;ug~+G-!^5rb>O&8o0@#dw?bG6j91<#VJn96`FnBT= z7i9r|wo-H4jhafs<$+y3+? zdY^x|TI~~kPv|KdIT2=`klQDiPB4wlc-g9(PYx}dB0C%c+-6Y&dUViKqiHj1%9J88 zfIT#_1=-m^&3SL787*rK4uc6#70uNpA@*h47`N#-Wz$9Y`k)R&6gwZzh;{73JvyAF1D__R6a7Y!9HZAFk56KWtHQ`2{ z4v`(~@I4BbLLaJ4kDVol%BIfOMM_14d2W21QMe|)yaM>RCFnzD;GcNG41^Qhv4_f2 zMYvpe75V7;Y}ymC@W+oomB2KwaZlLzRmX(AObx#Icq6CSvK6_lzPhqc^Y-IX>*L5) zB^*#XFp&0_0^5YO-+#YP%}TG!c6_9sI>o{C4+E!bbKtR;!Z>h_@z$SUsAg5x(DjpB zXEc|2N+gM0gUV#hZSGP7C3%`IwW&Ml|#nPp3@w#$@dVx4S`E_x%4hbyhTOGdenwhL~JPAQx>}kgFRl6 zY$lu8ZfC%>i5&r0upHJ`+f*b{820BHF5GbW@ZHOhifeA4pPsu_pXN|elN;JDE+sNg z4XzUgtxA@pwpS%7&GL+P!s6;lB77`6DP(a~9Gq=RRNHjmx-mx3|O; zc*PBR_k!=6Kr)|u%AA@Zs$}>XG3iLWdkxX00tU(5AdM|M=VlWnR#{906Nc9FJE+g} zOLlJuy*qQfcVfJtFj*VFf-3B1l$AM>rw9nUyn|adEO|;5oD=1V4xXq{8M@2{%Vq)N zN4I=*H1{gA<&fePf|PHEVObFan^%h$#~@d0NlWAC#edT3sjus)?2#>a-S zBh)RjdYEEfoTUQ?M$xz9f+KgUnqt?<@K0MW- z9r1i;MIa0abC^6AjicaodD;F-ca;)DN=$4oB~M z_V3IUPBqE~fVKAunSM^Fs_d^1PTQp3aI`vM_VYgrOqoRDldgxlbtQOh#K&LG{@LJC zZY{;sU%^-N7h!8{psnPC>EhnCpM)?zihC;Kjdd zOpvuA)GYTU6yA^B_qv?BmFTxU6*#4Nc<{i1A=}TE#ky1`bej004bDw><1E?w)=WW!h@oMqm2Q`_5U4VT6ZJoLuW!Qi zJaYY@+gyc&o|y!B{wK%U-zdyy9&M8 zIgw_$y1zd>d3l=h;0&8D)z#IV&!Tq!SfQ-`KEFE2*>hn3{`br??%%a7l`-v_hdsG6 zs|!pg2Rg%mrvMRgnS6S7Pm?!2@xa@24T?ryK9 zw=J5Y9h&~Ib-R3ekTrx?6pOu`_g-<2JEL2XzU`b{=1!C8z7xxqM*8R7*}C1eDet#; zoM8@E8W>d-M15x&t2oK+S%p0nfg!B$@&4S3V0^MkwQi#V()6?jJ^Cg@qLN6EFdleq zjsXnidBU|FELaEhlA1mKEB}WcO33#wG*U-*blcqP4Y>wDDgHdVqG{6Rr+4}IldKc9 z0vAUZ-Yf7SBIOQP)udk@va2(-Uqp~rhWEUCLw&2nzH^cDyC1Txy6?_yZh87f~Zi!7IlGY1Mv>@&Pa61*#> zT}ay9rPds$Vd1(Xqciqu9-aiz5>-yx%8m5C^NH^9MK=?uTEw7hoZ{uaBPi&K#l#CC z%hOuGGDy(eh2xmbFF9u5L1>9}odJ*wUF)h)l-X}(TS27#<@NzijKj^hXu3DQ z&p-Zg6&ta=Mg}F3PZLR#uiXp|_oz9fbYA*b_~h|Bu(fBYr|kpNU*wh^vmm#pwV^iwAryHL-WkBre$OpMq=+)RofdROyAOQf+JIr zRF%4ZoS5V^D(li)%L}h*)Rs*(t|otdo!{$+F4{%y$Tg&eHH}ZGQ5(7I55qU(mCH-8 z#`yn)nxoaeLsm4esgT)nAjTJpxBzw_89)DXqWQ-LjZVHHJa^QsGW^Ft?6cm$#DfV3{fsmwjvpQYYg$@0sg- zgYkUi$}|!j7C~QS6EiIKgE=h&cNnW)eodYj=}{9F9{$99+hkr&92N5#50npV@60Io zM-;+WyPhpy@bl)swkCPgw(*YN%)s_8cKe0&B?4To7)piJ$Ob$A<}Cj-;YzhU?d*dHSW8S!lFM5+ykwl7p_O|q9S`ZRvjMcmE zp~Q>vvBZAjxMV)K!Znw(A8&jD{%Dm)M&YhXgMY6yye&Ssv#X_Qp6Pc}wdXbroNQjv zS(D^pZsq=#nza1nc}p$)NjIhiDz*4qY+i~skY({_{fyT(G(K3z+w`%WK7M@O@(lm2 zd$Yho9#|4C7zXX#o9|i8b4iA)3OypWsx>`(_O!iG$-BMcSw?bFa^6(WT%O`esW7rV zhLS&|l4V6DQJ#Q&hlqN>`DTr!{&D4mxWopwv0RQ{4SbK0^k_5b&m9GZDmyu+Rq-fN{@m^M@zlltD<()&K|9vBXa;jDl&48zBEEt zw5qSWoy{78f5+5v45*3hO`&WV{N>5JdH zON&;%KQ%h+@D*fsov6!~xG!S(Rp~cRi#BpM)F3LX^iPQMz`d1!ZpmU#@n>B}ewopR z(&3EwEU>S>I_xAC!>owgj7=pyHFKHA(gSkmM{z^`;y1_q?H)axVBDlHE3yNLB8u}= z(Kd74SQsFGUcoQdgTdy~{w57l+4{a0?c$}YEd?F1zPdQg#}muH{(_uuBbb%ugw)_% zaCG~;;`NBA$l}L;`spW)BYJGX3?0;Xu&l1KtX2g$yy)0Zee$1Co7LXa=<*CKd52)g zMcPCdp^fKLmJ<9Vr9I871nX0{V>!{G(yBsPw`H;eJqdJ~tde#EsV(KE?QZ5If`eP= zXh@}ZGvWHsJiU`EB2Xh5kZ_zxePT*kPO}a`Ufd(_lHtq{l}N;d{_86J1vqyEiw2)% zx;BN{@lW*8I7DucCN~mf5$~6XGM{pXY+guW+|*RPQo6myT}^IL630Q=0b-K20J%$9 z0)WE~v69JEmVSO|h@_#~Ms>Y0pEEJj87t2gdUYV->{aPZ{R{UrG!dgfH7!eoJ-PT|@}lgrP$(iqX@dJYFn*OK zAu~?MA<$(NomplS_>n5{_(%=6K<~V0-w)cp{!Xi;#_K$N@WIj2k4!hJW@g`??oQBK z`1ajh`!^!Kr1BqNU<6I2mp?xG_zjq_hZQJGw8 z<9;xSEOo$_t!D&A-~6H)*)@fSwFnaq3Xl~!Ps^0gcsV!>DN?V~S<~YER)XDY2_&y>v9jEwjkVa%F`3qifInZN=-z_!GFx2QPU7vifGxg3CqY-zXSY51^ z=S^p*1!jh2KMmRr%Vb7}=d&IU-hyR^5VrUFz<)huyciHC__k*bUOo9E_4@r|%x6pO zKmEV%hI`cbefze&NZ@yF$@h8+t%!+f;`H}k!~^e6LNz#i*X{1u?AJ}f7pAPCdCHn< z8GB%_4tNuR>cYg_XB#XZLuSop*C#7mlOVB-$0kZ z|Jjek&%dzT?(0mu?z2@T+c8!DzoLI3~& diff --git a/reference/EnrichmentPlot.html b/reference/EnrichmentPlot.html index 360ea09c..7a5531de 100644 --- a/reference/EnrichmentPlot.html +++ b/reference/EnrichmentPlot.html @@ -153,23 +153,23 @@

Examplesdata("pancreas_sub") pancreas_sub <- RunDEtest(pancreas_sub, group_by = "CellType") #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. -#> [2023-09-01 05:14:05.58213] Start DEtest +#> [2023-09-08 15:33:50.126961] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 5 groups... #> | | | 0% | |==============================================================================================================| 100% #> -#> [2023-09-01 05:14:08.965127] DEtest done -#> Elapsed time:3.38 secs +#> [2023-09-08 15:33:54.507372] DEtest done +#> Elapsed time:4.38 secs pancreas_sub <- RunEnrichment(srt = pancreas_sub, db = "GO_BP", group_by = "CellType", species = "Mus_musculus") -#> [2023-09-01 05:14:08.967873] Start Enrichment +#> [2023-09-08 15:33:54.510738] Start Enrichment #> Workers: 1 #> Species: Mus_musculus -#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-01 05:12:05.52538 +#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 15:30:55.528871 #> Permform enrichment... #> | | | 0% | |==============================================================================================================| 100% #> -#> [2023-09-01 05:14:52.583952] Enrichment done -#> Elapsed time:43.62 secs +#> [2023-09-08 15:34:55.159022] Enrichment done +#> Elapsed time:1.01 mins EnrichmentPlot(pancreas_sub, db = "GO_BP", group_by = "CellType", group_use = "Endocrine", plot_type = "bar") EnrichmentPlot(pancreas_sub, @@ -237,7 +237,7 @@

Examples pancreas_sub <- RunEnrichment(srt = pancreas_sub, db = c("MP", "DO"), group_by = "CellType", convert_species = TRUE, species = "Mus_musculus") -#> [2023-09-01 05:15:29.037171] Start Enrichment +#> [2023-09-08 15:35:48.360843] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Preparing database: MP @@ -245,8 +245,8 @@

Examples#> Permform enrichment... #> | | | 0% | |==============================================================================================================| 100% #> -#> [2023-09-01 05:15:53.793963] Enrichment done -#> Elapsed time:24.76 secs +#> [2023-09-08 15:36:24.042117] Enrichment done +#> Elapsed time:35.68 secs EnrichmentPlot(pancreas_sub, db = c("MP", "DO"), group_by = "CellType", group_use = "Endocrine", ncol = 1) diff --git a/reference/FeatureDimPlot.html b/reference/FeatureDimPlot.html index f6e9d8ec..1bc4f00c 100644 --- a/reference/FeatureDimPlot.html +++ b/reference/FeatureDimPlot.html @@ -468,22 +468,22 @@

Examples
library(dplyr)
 data("pancreas_sub")
 pancreas_sub <- Standard_SCP(pancreas_sub)
-#> [2023-09-01 05:16:12.324734] Start Standard_SCP
-#> [2023-09-01 05:16:12.324941] Checking srtList... ...
+#> [2023-09-08 15:36:47.022371] Start Standard_SCP
+#> [2023-09-08 15:36:47.022642] Checking srtList... ...
 #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ...
 #> Perform FindVariableFeatures on the data 1/1 of the srtList...
 #> Use the separate HVF from srtList...
 #> Number of available HVF: 2000
-#> [2023-09-01 05:16:13.617312] Finished checking.
-#> [2023-09-01 05:16:13.61753] Perform ScaleData on the data...
-#> [2023-09-01 05:16:13.731112] Perform linear dimension reduction (pca) on the data...
-#> [2023-09-01 05:16:14.53909] Perform FindClusters (louvain) on the data...
-#> [2023-09-01 05:16:14.657577] Reorder clusters...
-#> [2023-09-01 05:16:14.873261] Perform nonlinear dimension reduction (umap) on the data...
+#> [2023-09-08 15:36:48.399071] Finished checking.
+#> [2023-09-08 15:36:48.399311] Perform ScaleData on the data...
+#> [2023-09-08 15:36:48.540253] Perform linear dimension reduction (pca) on the data...
+#> [2023-09-08 15:36:49.471535] Perform FindClusters (louvain) on the data...
+#> [2023-09-08 15:36:49.605548] Reorder clusters...
+#> [2023-09-08 15:36:49.864943] Perform nonlinear dimension reduction (umap) on the data...
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
-#> [2023-09-01 05:16:23.076231] Standard_SCP done
-#> Elapsed time: 10.75 secs 
+#> [2023-09-08 15:36:59.746842] Standard_SCP done
+#> Elapsed time: 12.72 secs 
 FeatureDimPlot(pancreas_sub, features = "G2M_score", reduction = "UMAP")
 
 FeatureDimPlot(pancreas_sub, features = "G2M_score", reduction = "UMAP", bg_cutoff = -Inf)
diff --git a/reference/FeatureDimPlot3D.html b/reference/FeatureDimPlot3D.html
index d7cc6124..23efabd1 100644
--- a/reference/FeatureDimPlot3D.html
+++ b/reference/FeatureDimPlot3D.html
@@ -141,25 +141,25 @@ 
ArgumentsExamples

     
data("pancreas_sub")
 pancreas_sub <- Standard_SCP(pancreas_sub)
-#> [2023-09-01 05:16:47.308195] Start Standard_SCP
-#> [2023-09-01 05:16:47.308399] Checking srtList... ...
+#> [2023-09-08 15:37:32.152206] Start Standard_SCP
+#> [2023-09-08 15:37:32.152457] Checking srtList... ...
 #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ...
 #> Perform FindVariableFeatures on the data 1/1 of the srtList...
 #> Use the separate HVF from srtList...
 #> Number of available HVF: 2000
-#> [2023-09-01 05:16:48.301388] Finished checking.
-#> [2023-09-01 05:16:48.301593] Perform ScaleData on the data...
-#> [2023-09-01 05:16:48.41467] Perform linear dimension reduction (pca) on the data...
-#> [2023-09-01 05:16:49.163006] Perform FindClusters (louvain) on the data...
-#> [2023-09-01 05:16:49.278322] Reorder clusters...
-#> [2023-09-01 05:16:49.464207] Perform nonlinear dimension reduction (umap) on the data...
+#> [2023-09-08 15:37:33.418763] Finished checking.
+#> [2023-09-08 15:37:33.419] Perform ScaleData on the data...
+#> [2023-09-08 15:37:33.561171] Perform linear dimension reduction (pca) on the data...
+#> [2023-09-08 15:37:34.487077] Perform FindClusters (louvain) on the data...
+#> [2023-09-08 15:37:34.620095] Reorder clusters...
+#> [2023-09-08 15:37:34.851931] Perform nonlinear dimension reduction (umap) on the data...
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
-#> [2023-09-01 05:16:57.562691] Standard_SCP done
-#> Elapsed time: 10.25 secs 
+#> [2023-09-08 15:37:45.010524] Standard_SCP done
+#> Elapsed time: 12.86 secs 
 FeatureDimPlot3D(pancreas_sub, features = c("Ghrl", "Ins1", "Gcg", "Ins2"), reduction = "StandardpcaUMAP3D")
 

-

+
diff --git a/reference/FeatureHeatmap.html b/reference/FeatureHeatmap.html index fe95b6a2..a52ff882 100644 --- a/reference/FeatureHeatmap.html +++ b/reference/FeatureHeatmap.html @@ -170,13 +170,13 @@

Examplesdata("pancreas_sub") pancreas_sub <- RunDEtest(pancreas_sub, group_by = "CellType") #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. -#> [2023-09-01 05:16:59.546936] Start DEtest +#> [2023-09-08 15:37:47.699855] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 5 groups... #> | | | 0% | |==============================================================================================================| 100% #> -#> [2023-09-01 05:17:02.721008] DEtest done -#> Elapsed time:3.17 secs +#> [2023-09-08 15:37:52.017691] DEtest done +#> Elapsed time:4.32 secs de_filter <- filter(pancreas_sub@tools$DEtest_CellType$AllMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1) ht1 <- FeatureHeatmap( srt = pancreas_sub, features = de_filter$gene, group.by = "CellType", @@ -209,23 +209,23 @@

Examples#> 'magick' package is suggested to install to give better rasterization. #> #> Set `ht_opt$message = FALSE` to turn off this message. -#> [2023-09-01 05:17:21.129519] Start Enrichment +#> [2023-09-08 15:38:19.145215] Start Enrichment #> Workers: 1 #> Species: Mus_musculus -#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-01 05:12:05.52538 +#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 15:30:55.528871 #> Permform enrichment... #> | | | 0% | |==============================================================================================================| 100% #> -#> [2023-09-01 05:17:57.440967] Enrichment done -#> Elapsed time:36.31 secs +#> [2023-09-08 15:39:08.609782] Enrichment done +#> Elapsed time:49.46 secs #> The size of the heatmap will be fixed as some elements are not scalable. ht3$plot pancreas_sub <- AnnotateFeatures(pancreas_sub, species = "Mus_musculus", db = c("TF", "CSPA")) #> Species: Mus_musculus -#> Loading cached db: TF version:AnimalTFDB4 nterm:2 created:2023-09-01 05:02:35.648729 -#> Loading cached db: CSPA version:CSPA nterm:1 created:2023-09-01 05:02:38.740619 +#> Loading cached db: TF version:AnimalTFDB4 nterm:2 created:2023-09-08 15:18:36.351696 +#> Loading cached db: CSPA version:CSPA nterm:1 created:2023-09-08 15:18:47.073713 ht4 <- FeatureHeatmap( srt = pancreas_sub, features = de_filter$gene, n_split = 4, group.by = "CellType", heatmap_palette = "viridis", diff --git a/reference/FeatureStatPlot.html b/reference/FeatureStatPlot.html index d860068d..d72207d8 100644 --- a/reference/FeatureStatPlot.html +++ b/reference/FeatureStatPlot.html @@ -166,6 +166,14 @@

ExamplesFeatureStatPlot(pancreas_sub, stat.by = c("G2M_score", "Fev"), group.by = "SubCellType", split.by = "Phase", add_box = TRUE, add_trend = TRUE) FeatureStatPlot(pancreas_sub, stat.by = c("G2M_score", "Fev"), group.by = "SubCellType", split.by = "Phase", comparisons = TRUE) +#> Install package: "ggpubr" ... +#> 'getOption("repos")' replaces Bioconductor standard repositories, see 'help("repositories", package = "BiocManager")' +#> for details. +#> Replacement repositories: +#> CRAN: https://cloud.r-project.org +#> Bioconductor version 3.17 (BiocManager 1.30.22), R 4.3.1 (2023-06-16) +#> Installing package(s) 'ggpubr' +#> also installing the dependencies ‘corrplot’, ‘ggsci’, ‘polynom’, ‘rstatix’ #> Warning: Detected more than 2 groups. Use multiple_method for comparison #> Warning: Detected more than 2 groups. Use multiple_method for comparison diff --git a/reference/GSEAPlot.html b/reference/GSEAPlot.html index d94497d9..845d0929 100644 --- a/reference/GSEAPlot.html +++ b/reference/GSEAPlot.html @@ -102,18 +102,18 @@

Examplesdata("pancreas_sub") pancreas_sub <- RunDEtest(pancreas_sub, group_by = "CellType", only.pos = FALSE, fc.threshold = 1) #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. -#> [2023-09-01 05:20:11.379435] Start DEtest +#> [2023-09-08 15:42:27.309765] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 5 groups... #> | | | 0% | |==============================================================================================================| 100% #> -#> [2023-09-01 05:25:12.837516] DEtest done -#> Elapsed time:5.02 mins +#> [2023-09-08 15:49:43.486857] DEtest done +#> Elapsed time:7.27 mins pancreas_sub <- RunGSEA(pancreas_sub, group_by = "CellType", db = "GO_BP", species = "Mus_musculus") -#> [2023-09-01 05:25:12.841963] Start GSEA +#> [2023-09-08 15:49:43.492337] Start GSEA #> Workers: 1 #> Species: Mus_musculus -#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-01 05:12:05.52538 +#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 15:30:55.528871 #> Permform GSEA... #> | | | 0% | | | 0% | |==============================================================================================================| 100% #> @@ -127,8 +127,8 @@

Examples#> #> | |==============================================================================================================| 100% #> -#> [2023-09-01 05:30:38.518748] GSEA done -#> Elapsed time:5.43 mins +#> [2023-09-08 15:56:40.140813] GSEA done +#> Elapsed time:6.94 mins GSEAPlot(pancreas_sub, db = "GO_BP", group_by = "CellType", group_use = "Ductal") GSEAPlot(pancreas_sub, db = "GO_BP", group_by = "CellType", group_use = "Ductal", id_use = "GO:0006412") diff --git a/reference/GroupHeatmap.html b/reference/GroupHeatmap.html index 558a07c4..776645fc 100644 --- a/reference/GroupHeatmap.html +++ b/reference/GroupHeatmap.html @@ -238,13 +238,13 @@

Examples pancreas_sub <- RunDEtest(pancreas_sub, group_by = "CellType") #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. -#> [2023-09-01 05:31:45.194794] Start DEtest +#> [2023-09-08 15:57:50.008711] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 5 groups... #> | | | 0% | |==============================================================================================================| 100% #> -#> [2023-09-01 05:31:48.383866] DEtest done -#> Elapsed time:3.19 secs +#> [2023-09-08 15:57:54.09739] DEtest done +#> Elapsed time:4.09 secs de_filter <- filter(pancreas_sub@tools$DEtest_CellType$AllMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1) ht2 <- GroupHeatmap( @@ -266,23 +266,23 @@

Examples#> 'magick' package is suggested to install to give better rasterization. #> #> Set `ht_opt$message = FALSE` to turn off this message. -#> [2023-09-01 05:31:49.978959] Start Enrichment +#> [2023-09-08 15:57:56.291292] Start Enrichment #> Workers: 1 #> Species: Mus_musculus -#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-01 05:12:05.52538 +#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 15:30:55.528871 #> Permform enrichment... #> | | | 0% | |==============================================================================================================| 100% #> -#> [2023-09-01 05:32:25.86797] Enrichment done -#> Elapsed time:35.89 secs +#> [2023-09-08 15:58:45.485693] Enrichment done +#> Elapsed time:49.19 secs #> The size of the heatmap will be fixed as some elements are not scalable. ht3$plot pancreas_sub <- AnnotateFeatures(pancreas_sub, species = "Mus_musculus", db = c("TF", "CSPA")) #> Species: Mus_musculus -#> Loading cached db: TF version:AnimalTFDB4 nterm:2 created:2023-09-01 05:02:35.648729 -#> Loading cached db: CSPA version:CSPA nterm:1 created:2023-09-01 05:02:38.740619 +#> Loading cached db: TF version:AnimalTFDB4 nterm:2 created:2023-09-08 15:18:36.351696 +#> Loading cached db: CSPA version:CSPA nterm:1 created:2023-09-08 15:18:47.073713 de_top <- de_filter %>% group_by(gene) %>% top_n(1, avg_log2FC) %>% diff --git a/reference/Integration_SCP.html b/reference/Integration_SCP.html index dfafcb55..ad299a52 100644 --- a/reference/Integration_SCP.html +++ b/reference/Integration_SCP.html @@ -197,9 +197,9 @@

Examplespanc8_sub <- Integration_SCP( srtMerge = panc8_sub, batch = "tech", integration_method = "Uncorrected" ) -#> [2023-09-01 05:34:01.912214] Start Uncorrected_integrate -#> [2023-09-01 05:34:01.925751] Spliting srtMerge into srtList by column tech... ... -#> [2023-09-01 05:34:02.378772] Checking srtList... ... +#> [2023-09-08 16:01:04.185652] Start Uncorrected_integrate +#> [2023-09-08 16:01:04.204603] Spliting srtMerge into srtList by column tech... ... +#> [2023-09-08 16:01:04.840016] Checking srtList... ... #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/5 of the srtList... #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... @@ -212,33 +212,33 @@

Examples#> Perform FindVariableFeatures on the data 5/5 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 -#> [2023-09-01 05:34:05.101589] Finished checking. -#> [2023-09-01 05:34:05.485245] Perform integration(Uncorrected) on the data... -#> [2023-09-01 05:34:05.486769] Start Standard_SCP -#> [2023-09-01 05:34:05.48693] Checking srtList... ... +#> [2023-09-08 16:01:08.208846] Finished checking. +#> [2023-09-08 16:01:08.986898] Perform integration(Uncorrected) on the data... +#> [2023-09-08 16:01:08.988762] Start Standard_SCP +#> [2023-09-08 16:01:08.988964] Checking srtList... ... #> Data 1/1 of the srtList has been log-normalized. #> Number of available HVF: 2000 -#> [2023-09-01 05:34:05.801794] Finished checking. -#> [2023-09-01 05:34:05.802002] Perform ScaleData on the data... -#> [2023-09-01 05:34:06.191455] Perform linear dimension reduction (pca) on the data... -#> [2023-09-01 05:34:07.228501] Perform FindClusters (louvain) on the data... -#> [2023-09-01 05:34:07.351865] Reorder clusters... -#> [2023-09-01 05:34:07.534128] Perform nonlinear dimension reduction (umap) on the data... +#> [2023-09-08 16:01:09.452736] Finished checking. +#> [2023-09-08 16:01:09.452994] Perform ScaleData on the data... +#> [2023-09-08 16:01:10.201521] Perform linear dimension reduction (pca) on the data... +#> [2023-09-08 16:01:11.533039] Perform FindClusters (louvain) on the data... +#> [2023-09-08 16:01:11.679429] Reorder clusters... +#> [2023-09-08 16:01:11.917042] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Uncorrectedpca, dims:1-10) as input #> Non-linear dimensionality reduction(umap) using Reduction(Uncorrectedpca, dims:1-10) as input -#> [2023-09-01 05:34:17.012508] Standard_SCP done -#> Elapsed time: 11.53 secs -#> [2023-09-01 05:34:17.28154] Uncorrected_integrate done -#> Elapsed time: 15.37 secs +#> [2023-09-08 16:01:23.320355] Standard_SCP done +#> Elapsed time: 14.33 secs +#> [2023-09-08 16:01:23.672948] Uncorrected_integrate done +#> Elapsed time: 19.49 secs CellDimPlot(panc8_sub, group.by = c("tech", "celltype")) panc8_sub <- Integration_SCP( srtMerge = panc8_sub, batch = "tech", integration_method = "Seurat" ) -#> [2023-09-01 05:34:17.875333] Start Seurat_integrate -#> [2023-09-01 05:34:17.89001] Spliting srtMerge into srtList by column tech... ... -#> [2023-09-01 05:34:18.356439] Checking srtList... ... +#> [2023-09-08 16:01:24.444944] Start Seurat_integrate +#> [2023-09-08 16:01:24.462746] Spliting srtMerge into srtList by column tech... ... +#> [2023-09-08 16:01:25.056397] Checking srtList... ... #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/5 of the srtList... #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... @@ -251,18 +251,18 @@

Examples#> Perform FindVariableFeatures on the data 5/5 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 -#> [2023-09-01 05:34:21.070383] Finished checking. -#> [2023-09-01 05:34:21.655207] Perform FindIntegrationAnchors on the data... -#> [2023-09-01 05:34:44.641419] Perform integration(Seurat) on the data... -#> [2023-09-01 05:34:53.235101] Perform ScaleData on the data... -#> [2023-09-01 05:34:53.442184] Perform linear dimension reduction (pca) on the data... -#> [2023-09-01 05:34:54.614005] Perform FindClusters (louvain) on the data... -#> [2023-09-01 05:34:54.778165] Reorder clusters... -#> [2023-09-01 05:34:54.94905] Perform nonlinear dimension reduction (umap) on the data... +#> [2023-09-08 16:01:28.220235] Finished checking. +#> [2023-09-08 16:01:28.758705] Perform FindIntegrationAnchors on the data... +#> [2023-09-08 16:01:58.110391] Perform integration(Seurat) on the data... +#> [2023-09-08 16:02:09.934691] Perform ScaleData on the data... +#> [2023-09-08 16:02:11.414714] Perform linear dimension reduction (pca) on the data... +#> [2023-09-08 16:02:12.939185] Perform FindClusters (louvain) on the data... +#> [2023-09-08 16:02:13.127007] Reorder clusters... +#> [2023-09-08 16:02:13.341781] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Seuratpca, dims:1-12) as input #> Non-linear dimensionality reduction(umap) using Reduction(Seuratpca, dims:1-12) as input -#> [2023-09-01 05:35:04.416348] Seurat_integrate done -#> Elapsed time: 46.54 secs +#> [2023-09-08 16:02:24.739751] Seurat_integrate done +#> Elapsed time: 1 mins CellDimPlot(panc8_sub, group.by = c("tech", "celltype")) diff --git a/reference/ListDB.html b/reference/ListDB.html index cde945a6..5b7c4a91 100644 --- a/reference/ListDB.html +++ b/reference/ListDB.html @@ -48,13 +48,7 @@

Usage

- 
ListDB(
-  species = c("Homo_sapiens", "Mus_musculus"),
-  db = c("GO", "GO_BP", "GO_CC", "GO_MF", "KEGG", "WikiPathway", "Reactome",
-    "ProteinComplex", "DGI", "MP", "DO", "HPO", "PFAM", "Chromosome", "GeneType",
-    "Enzyme", "TF", "CSPA", "Surfaceome", "SPRomeDB", "VerSeDa", "TFLink", "hTFtarget",
-    "TRRUST", "JASPAR", "ENCODE", "CellTalk", "CellChat")
-)
+ 
ListDB(species = "Homo_sapiens", db = NULL)
@@ -69,6 +63,37 @@

Examples
ListDB(species = "Homo_sapiens")
 #> [1] identifier version    comment    timestamp  date       db_version db_name    file      
 #> <0 rows> (or 0-length row.names)
+ListDB(species = "Mus_musculus")
+#>                                                         identifier version                                      comment
+#> 1 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson)              0.1.7             6.0.0 nterm:5960|Mus_musculus-DO
+#> 2 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson)              0.1.7 2023-09-04 08:03 nterm:10294|Mus_musculus-MP
+#> 3 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson)              0.1.7        3.17.0 nterm:16027|Mus_musculus-GO_BP
+#> 4 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson)              0.1.7          3.17.0 nterm:56|Mus_musculus-Enzyme
+#> 5 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson)              0.1.7        3.17.0 nterm:11|Mus_musculus-GeneType
+#> 6 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson)              0.1.7      3.17.0 nterm:23|Mus_musculus-Chromosome
+#> 7 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson)              0.1.7         VerSeDa nterm:1|Mus_musculus-VerSeDa
+#> 8 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson)              0.1.7               CSPA nterm:1|Mus_musculus-CSPA
+#> 9 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson)              0.1.7          AnimalTFDB4 nterm:2|Mus_musculus-TF
+#>    timestamp                       date                   db_version                 db_name
+#> 1 1694187370 2023-09-08 15:36:09.611605             6.0.0 nterm:5960         Mus_musculus-DO
+#> 2 1694187363 2023-09-08 15:36:02.719487 2023-09-04 08:03 nterm:10294         Mus_musculus-MP
+#> 3 1694187056 2023-09-08 15:30:55.528871           3.17.0 nterm:16027      Mus_musculus-GO_BP
+#> 4 1694186476 2023-09-08 15:21:16.402184              3.17.0 nterm:56     Mus_musculus-Enzyme
+#> 5 1694186469 2023-09-08 15:21:08.639145              3.17.0 nterm:11   Mus_musculus-GeneType
+#> 6 1694186408 2023-09-08 15:20:08.228887              3.17.0 nterm:23 Mus_musculus-Chromosome
+#> 7 1694186352 2023-09-08 15:19:12.293131              VerSeDa nterm:1    Mus_musculus-VerSeDa
+#> 8 1694186327 2023-09-08 15:18:47.073713                 CSPA nterm:1       Mus_musculus-CSPA
+#> 9 1694186316 2023-09-08 15:18:36.351696          AnimalTFDB4 nterm:2         Mus_musculus-TF
+#>                                                                    file
+#> 1 /home/runner/.cache/R/R.cache/792dd0f1ca33ed8236cf6e82be723937.Rcache
+#> 2 /home/runner/.cache/R/R.cache/bc3123b03f0a175d52acb01b33815f41.Rcache
+#> 3 /home/runner/.cache/R/R.cache/42b4d036008b98824957461afba8e2f3.Rcache
+#> 4 /home/runner/.cache/R/R.cache/008eb78c5dea0f0a9c643a671db7ba86.Rcache
+#> 5 /home/runner/.cache/R/R.cache/feae616aade8debb4c248b537cbdaf65.Rcache
+#> 6 /home/runner/.cache/R/R.cache/e2c36a88c14e46ebb8d542a1faefd195.Rcache
+#> 7 /home/runner/.cache/R/R.cache/c81fdce160dcfca80a3a94cacd3ca65b.Rcache
+#> 8 /home/runner/.cache/R/R.cache/267624ab3d48b245ce01deac5165a7b1.Rcache
+#> 9 /home/runner/.cache/R/R.cache/82f852e1d9ed5c0a5ad672b843c18742.Rcache

diff --git a/reference/PrepareDB.html b/reference/PrepareDB.html index 995413fa..06c9606b 100644 --- a/reference/PrepareDB.html +++ b/reference/PrepareDB.html @@ -53,7 +53,7 @@

Usage db = c("GO", "GO_BP", "GO_CC", "GO_MF", "KEGG", "WikiPathway", "Reactome", "ProteinComplex", "DGI", "MP", "DO", "HPO", "PFAM", "Chromosome", "GeneType", "Enzyme", "TF", "CSPA", "Surfaceome", "SPRomeDB", "VerSeDa", "TFLink", "hTFtarget", - "TRRUST", "JASPAR", "ENCODE", "CellTalk", "CellChat"), + "TRRUST", "JASPAR", "ENCODE", "MSigDB", "CellTalk", "CellChat"), db_IDtypes = c("symbol", "entrez_id", "ensembl_id"), db_version = "latest", db_update = FALSE, @@ -103,15 +103,19 @@

Examples head(db_list[["Homo_sapiens"]][["GO_BP"]][["TERM2GENE"]]) # Based on homologous gene conversion, prepare a gene annotation database that originally does not exist in the species. - db_list <- PrepareDB(species = "Homo_sapiens", db = "MP", convert_species = TRUE) + db_list <- PrepareDB(species = "Homo_sapiens", db = "MP") ListDB(species = "Homo_sapiens", db = "MP") head(db_list[["Homo_sapiens"]][["MP"]][["TERM2GENE"]]) # Prepare databases for other species - db_list <- PrepareDB(species = "Macaca_fascicularis", db = "GO_BP", convert_species = TRUE) + db_list <- PrepareDB(species = "Macaca_fascicularis", db = "GO_BP") ListDB(species = "Macaca_fascicularis", db = "GO_BP") head(db_list[["Macaca_fascicularis"]][["GO_BP"]][["TERM2GENE"]]) + db_list <- PrepareDB(species = "Saccharomyces_cerevisiae", db = "GO_BP") + ListDB(species = "Saccharomyces_cerevisiae", db = "GO_BP") + head(db_list[["Saccharomyces_cerevisiae"]][["GO_BP"]][["TERM2GENE"]]) + # Prepare databases for Arabidopsis (plant) db_list <- PrepareDB( species = "Arabidopsis_thaliana", diff --git a/reference/ProjectionPlot.html b/reference/ProjectionPlot.html index 0441fbd1..e6bcbd79 100644 --- a/reference/ProjectionPlot.html +++ b/reference/ProjectionPlot.html @@ -79,7 +79,7 @@

Examplessrt_ref <- panc8_sub[, panc8_sub$tech != "fluidigmc1"] srt_query <- panc8_sub[, panc8_sub$tech == "fluidigmc1"] srt_ref <- Integration_SCP(srt_ref, batch = "tech", integration_method = "Seurat") -#> [2023-09-01 05:36:04.543655] Start Seurat_integrate +#> [2023-09-08 16:03:42.87913] Start Seurat_integrate #> Error in Integration_SCP(srt_ref, batch = "tech", integration_method = "Seurat"): object 'srt_ref' not found CellDimPlot(srt_ref, group.by = c("celltype", "tech")) #> Error in DefaultReduction(srt): Unable to find any reductions. diff --git a/reference/RunCSSMap.html b/reference/RunCSSMap.html index 207fc28b..550051db 100644 --- a/reference/RunCSSMap.html +++ b/reference/RunCSSMap.html @@ -77,13 +77,38 @@

Examplessrt_ref <- panc8_sub[, panc8_sub$tech != "fluidigmc1"] srt_query <- panc8_sub[, panc8_sub$tech == "fluidigmc1"] srt_ref <- Integration_SCP(srt_ref, batch = "tech", integration_method = "CSS") -#> [2023-09-01 05:36:14.652516] Start CSS_integrate +#> [2023-09-08 16:03:54.807823] Start CSS_integrate #> Error in Integration_SCP(srt_ref, batch = "tech", integration_method = "CSS"): object 'srt_ref' not found CellDimPlot(srt_ref, group.by = c("celltype", "tech")) #> Error in DefaultReduction(srt): Unable to find any reductions. # Projection srt_query <- RunCSSMap(srt_query = srt_query, srt_ref = srt_ref, ref_css = "CSS", ref_umap = "CSSUMAP2D") +#> Install package: "simspec" ... +#> 'getOption("repos")' replaces Bioconductor standard repositories, see 'help("repositories", package = "BiocManager")' +#> for details. +#> Replacement repositories: +#> CRAN: https://cloud.r-project.org +#> Bioconductor version 3.17 (BiocManager 1.30.22), R 4.3.1 (2023-06-16) +#> Installing github package(s) 'quadbiolab/simspec' +#> Warning: package ‘quadbiolab/simspec’ is not available for this version of R +#> +#> A version of this package for your version of R might be available elsewhere, +#> see the ideas at +#> https://cran.r-project.org/doc/manuals/r-patched/R-admin.html#Installing-packages +#> Using github PAT from envvar GITHUB_PAT +#> Downloading GitHub repo quadbiolab/simspec@HEAD +#> ── R CMD build ───────────────────────────────────────────────────────────────────────────────────────────────────────── +#> * checking for file ‘/tmp/Rtmp5K7zMn/remotes8ff1496a43ee/quadbio-simspec-680488c/DESCRIPTION’ ... OK +#> * preparing ‘simspec’: +#> * checking DESCRIPTION meta-information ... OK +#> * checking for LF line-endings in source and make files and shell scripts +#> * checking for empty or unneeded directories +#> Omitted ‘LazyData’ from DESCRIPTION +#> * building ‘simspec_0.0.0.9000.tar.gz’ +#> +#> Installing package into ‘/home/runner/work/_temp/Library’ +#> (as ‘lib’ is unspecified) #> Error: Cannot find 'CSS' in this Seurat object ProjectionPlot(srt_query = srt_query, srt_ref = srt_ref, query_group = "celltype", ref_group = "celltype") #> Error: Cannot find 'ref.embeddings' in this Seurat object diff --git a/reference/RunDEtest.html b/reference/RunDEtest.html index 81dbad08..577af7b4 100644 --- a/reference/RunDEtest.html +++ b/reference/RunDEtest.html @@ -116,13 +116,13 @@

Examples pancreas_sub <- RunDEtest(pancreas_sub, group_by = "SubCellType") #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. -#> [2023-09-01 05:37:35.60513] Start DEtest +#> [2023-09-08 16:05:51.587763] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 8 groups... #> | | | 0% | |==============================================================================================================| 100% #> -#> [2023-09-01 05:37:40.288432] DEtest done -#> Elapsed time:4.68 secs +#> [2023-09-08 16:05:57.21809] DEtest done +#> Elapsed time:5.63 secs AllMarkers <- filter(pancreas_sub@tools$DEtest_SubCellType$AllMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1) table(AllMarkers$group1) #> @@ -148,13 +148,13 @@

Examples pancreas_sub <- RunDEtest(pancreas_sub, group_by = "SubCellType", markers_type = "paired") -#> [2023-09-01 05:37:42.57943] Start DEtest +#> [2023-09-08 16:06:00.096301] Start DEtest #> Workers: 1 #> Find paired markers(wilcox) among 8 groups... #> | | | 0% | |==============================================================================================================| 100% #> -#> [2023-09-01 05:38:03.960191] DEtest done -#> Elapsed time:21.38 secs +#> [2023-09-08 16:06:27.481414] DEtest done +#> Elapsed time:27.39 secs PairedMarkers <- filter(pancreas_sub@tools$DEtest_SubCellType$PairedMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1) table(PairedMarkers$group1) #> @@ -169,9 +169,9 @@

Examples data("panc8_sub") panc8_sub <- Integration_SCP(panc8_sub, batch = "tech", integration_method = "Seurat") -#> [2023-09-01 05:38:13.39741] Start Seurat_integrate -#> [2023-09-01 05:38:13.410245] Spliting srtMerge into srtList by column tech... ... -#> [2023-09-01 05:38:13.884405] Checking srtList... ... +#> [2023-09-08 16:06:39.909879] Start Seurat_integrate +#> [2023-09-08 16:06:39.925578] Spliting srtMerge into srtList by column tech... ... +#> [2023-09-08 16:06:40.490097] Checking srtList... ... #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/5 of the srtList... #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... @@ -184,23 +184,23 @@

Examples#> Perform FindVariableFeatures on the data 5/5 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 -#> [2023-09-01 05:38:17.094861] Finished checking. -#> [2023-09-01 05:38:19.122633] Perform FindIntegrationAnchors on the data... -#> [2023-09-01 05:38:41.695236] Perform integration(Seurat) on the data... -#> [2023-09-01 05:38:48.797758] Perform ScaleData on the data... -#> [2023-09-01 05:38:49.000053] Perform linear dimension reduction (pca) on the data... -#> [2023-09-01 05:38:50.122397] Perform FindClusters (louvain) on the data... -#> [2023-09-01 05:38:50.287403] Reorder clusters... -#> [2023-09-01 05:38:50.473265] Perform nonlinear dimension reduction (umap) on the data... +#> [2023-09-08 16:06:43.6269] Finished checking. +#> [2023-09-08 16:06:44.189758] Perform FindIntegrationAnchors on the data... +#> [2023-09-08 16:07:13.8601] Perform integration(Seurat) on the data... +#> [2023-09-08 16:07:25.046555] Perform ScaleData on the data... +#> [2023-09-08 16:07:25.229411] Perform linear dimension reduction (pca) on the data... +#> [2023-09-08 16:07:26.565153] Perform FindClusters (louvain) on the data... +#> [2023-09-08 16:07:26.750985] Reorder clusters... +#> [2023-09-08 16:07:26.982299] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Seuratpca, dims:1-12) as input #> Non-linear dimensionality reduction(umap) using Reduction(Seuratpca, dims:1-12) as input -#> [2023-09-01 05:39:00.792318] Seurat_integrate done -#> Elapsed time: 47.39 secs +#> [2023-09-08 16:07:39.545865] Seurat_integrate done +#> Elapsed time: 59.64 secs CellDimPlot(panc8_sub, group.by = c("celltype", "tech")) panc8_sub <- RunDEtest(panc8_sub, group_by = "celltype", grouping.var = "tech", markers_type = "conserved") -#> [2023-09-01 05:39:01.593456] Start DEtest +#> [2023-09-08 16:07:40.545424] Start DEtest #> Workers: 1 #> Find conserved markers(wilcox) among 13 groups... #> | | | 0% @@ -229,8 +229,8 @@

Examples#> Warning: Only a single group was tested #> | |==============================================================================================================| 100% #> -#> [2023-09-01 05:39:32.463374] DEtest done -#> Elapsed time:30.87 secs +#> [2023-09-08 16:08:21.774146] DEtest done +#> Elapsed time:41.23 secs ConservedMarkers1 <- filter(panc8_sub@tools$DEtest_celltype$ConservedMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1) table(ConservedMarkers1$group1) #> @@ -252,7 +252,7 @@

Examples panc8_sub <- RunDEtest(panc8_sub, group_by = "tech", grouping.var = "celltype", markers_type = "conserved") -#> [2023-09-01 05:39:40.26859] Start DEtest +#> [2023-09-08 16:08:32.272726] Start DEtest #> Workers: 1 #> Find conserved markers(wilcox) among 5 groups... #> | | | 0% @@ -284,8 +284,8 @@

Examples#> Warning: endothelial has fewer than 3 cells. Skipping endothelial #> | |==============================================================================================================| 100% #> -#> [2023-09-01 05:40:03.865703] DEtest done -#> Elapsed time:23.6 secs +#> [2023-09-08 16:09:05.45375] DEtest done +#> Elapsed time:33.18 secs ConservedMarkers2 <- filter(panc8_sub@tools$DEtest_tech$ConservedMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1) table(ConservedMarkers2$group1) #> @@ -303,7 +303,7 @@

Examples panc8_sub <- RunDEtest(panc8_sub, group_by = "celltype", grouping.var = "tech", markers_type = "disturbed") -#> [2023-09-01 05:40:06.537394] Start DEtest +#> [2023-09-08 16:09:09.068901] Start DEtest #> Workers: 1 #> Find disturbed markers(wilcox) among 13 groups... #> | | | 0% | | | 0% | |==============================================================================================================| 100% @@ -332,8 +332,8 @@

Examples#> #> | |==============================================================================================================| 100% #> -#> [2023-09-01 05:40:33.791313] DEtest done -#> Elapsed time:27.25 secs +#> [2023-09-08 16:09:46.431823] DEtest done +#> Elapsed time:37.36 secs DisturbedMarkers <- filter(panc8_sub@tools$DEtest_celltype$DisturbedMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1 & var1 == "smartseq2") table(DisturbedMarkers$group1) #> diff --git a/reference/RunDynamicEnrichment.html b/reference/RunDynamicEnrichment.html index 6f13782a..c4d0640e 100644 --- a/reference/RunDynamicEnrichment.html +++ b/reference/RunDynamicEnrichment.html @@ -91,14 +91,14 @@

Examples#> Warning: Removed 8 rows containing missing values (`geom_path()`). pancreas_sub <- RunDynamicFeatures(pancreas_sub, lineages = "Lineage1", n_candidates = 200) -#> [2023-09-01 05:41:22.092829] Start RunDynamicFeatures +#> [2023-09-08 16:10:43.596005] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 199 #> Calculate dynamic features for Lineage1... #> | | | 0% | |==============================================================================================================| 100% #> -#> [2023-09-01 05:41:35.26642] RunDynamicFeatures done -#> Elapsed time:13.17 secs +#> [2023-09-08 16:10:58.666097] RunDynamicFeatures done +#> Elapsed time:15.07 secs ht1 <- DynamicHeatmap( srt = pancreas_sub, lineages = "Lineage1", @@ -121,28 +121,28 @@

Examples db = "GO_BP", species = "Mus_musculus" ) -#> [2023-09-01 05:41:38.036477] Start RunDynamicFeatures +#> [2023-09-08 16:11:02.302977] Start RunDynamicFeatures #> Workers: 1 #> Species: Mus_musculus -#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-01 05:12:05.52538 +#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 15:30:55.528871 #> Data is raw counts. Perform NormalizeData(LogNormalize) on the data ... #> Number of feature lists to be scored: 2738 -#> [2023-09-01 05:41:43.663877] Start CellScoring +#> [2023-09-08 16:11:09.386844] Start CellScoring #> Workers: 1 #> Warning: Feature names cannot have underscores ('_'), replacing with dashes ('-') #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from go_bp_ to gobp_ -#> [2023-09-01 05:44:16.324869] CellScoring done -#> Elapsed time:2.54 mins -#> [2023-09-01 05:44:16.327247] Start RunDynamicFeatures +#> [2023-09-08 16:14:07.64345] CellScoring done +#> Elapsed time:2.97 mins +#> [2023-09-08 16:14:07.646186] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 2738 #> Calculate dynamic features for Lineage1... #> | | | 0% | |==============================================================================================================| 100% #> -#> [2023-09-01 05:44:52.927147] RunDynamicFeatures done -#> Elapsed time:36.6 secs -#> [2023-09-01 05:44:52.927795] RunDynamicEnrichment done -#> Elapsed time:3.25 mins +#> [2023-09-08 16:14:54.058053] RunDynamicFeatures done +#> Elapsed time:46.41 secs +#> [2023-09-08 16:14:54.0589] RunDynamicEnrichment done +#> Elapsed time:3.86 mins ht2 <- DynamicHeatmap( srt = pancreas_sub, assay = "GO_BP", diff --git a/reference/RunDynamicFeatures.html b/reference/RunDynamicFeatures.html index 7048532a..9753b857 100644 --- a/reference/RunDynamicFeatures.html +++ b/reference/RunDynamicFeatures.html @@ -79,7 +79,7 @@

Examples#> Warning: Removed 8 rows containing missing values (`geom_path()`). pancreas_sub <- RunDynamicFeatures(pancreas_sub, lineages = c("Lineage1", "Lineage2"), n_candidates = 200) -#> [2023-09-01 05:45:25.699246] Start RunDynamicFeatures +#> [2023-09-08 16:15:33.430831] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 225 #> Calculate dynamic features for Lineage1... @@ -88,8 +88,8 @@

Examples#> Calculate dynamic features for Lineage2... #> | | | 0% | |==============================================================================================================| 100% #> -#> [2023-09-01 05:45:50.810577] RunDynamicFeatures done -#> Elapsed time:25.11 secs +#> [2023-09-08 16:16:07.784473] RunDynamicFeatures done +#> Elapsed time:34.35 secs names(pancreas_sub@tools$DynamicFeatures_Lineage1) #> [1] "DynamicFeatures" "raw_matrix" "fitted_matrix" "upr_matrix" "lwr_matrix" "libsize" #> [7] "lineages" "family" diff --git a/reference/RunEnrichment-2.png b/reference/RunEnrichment-2.png index f4507839e129d21a9333f192673b0994b1642af9..051caf78451bfd4af783b3eba51aa91401356658 100644 GIT binary patch literal 149520 zcmeGEXH-*N7dDJy0YwE=P^2RU5D<_q9i@hzTfeU^W*$EKh790V`v6(@3q%nYtCz4^O|!R_E=q!>=NxIA|fI( zsFIu}5fQN$5z)C97fHZ3V{vKg;Dh9ailQ9&1V0C|H38s*)JaL-m57KT^!J}Lk#ids zL`2L)P`QWNUdZJMZzR3^31MSzIbp)W)uH&Ri_5I=%a2zto>84;qa~la`jG0(4PwZf z3%?>|&&vmW+9#fUtPZ{S?Ch&gO3cg`Nu!>v9x*40kI*M|rR*GKSXt)!`dIo{T6x6G z?f6L?7D@P4{x_%p``79ozjzksT%rkA{JPHo%><{UyaJx_Y z=Xx2UnE|TrDpu7wbGc}ovQUE^#Gftu%j-qOz#&B6=#9VgOT@o`YRyRmF>QQ66(Pvu zw3*q-!dyQ+Q``!>2OEM$+?^AaLZdV0Ir*@DI zTWTesm^$!$XsBixlF8BcX?LVQtM7|C8TG;`11PTnfsl@pRx-HR?V62}R$jz?+lkS< zyuKSJ-e7W_-M9{w(d2$qgDi^lRL(&NN*mS3Ao>gCx;=9DKIktAsBPXeym3lELzeD{ zwhml`?uGX0K}R|9LeQZv7Oix@VFvt+=D}Sq93qJCB;C=#%=SK@Fc7MIPLG{!o ztDV$ZDh|?PTKen+)qfVvnsPitES*LC#So$tVBJuBU5(c(j!cXMMh#sfZX@`JzI^t- zF^Pz54kHrJItmm&RZl_bUt%;G=g780qL+!*=v;gfN!qviZ|0=-qZ!e!oiW5@>$FgD zi2Hi`ov}06O{bBEonDZKCVvM)d@Rg-W+>eHGx@IP`bG_cJeu+;S^Gh6(F~-k98-IZ zomaepEsprOp&a74}JkiOxx7Vj2}dX5llrzyU@nc={| zn#^kRI(8_SbhD!f)1|Ii|Hk|bHfnsV#ss5-5bLbfK)+lRI2%XtX9^83E*yj-r)Y~C zSJSE=sb3X-l5A3j320=G5NW7U4QtJxc=mY(dv+%Valvb=i4f3H!jp0R1B2X4Bp>X~ z!HrgEe0O9X>*aMuUQZ_xlV{=(yb0F|2{GN!tv}-jehwaQY<>^LPwsUEy7cMCsHlA7fyMWAjs;fk1Xl%;0*P9foqcNs|BG=o-5+6;Jzlu+o+e%@W zoXDP)?spH5J;mJok~&Mi&X&a1UT@`Gy?o+hffO9MxUOsH&9+F);G7&Qr7!a!chjK6 z>CfQIYC9=I2l{t29(Pl~pz4!FoD!)s2V7O>%A%|3VR<=qLHx9Z{5?gNSA?caAoZVzTu7Hp z8JctP`QD;+hkz{>rwZ`80E@($*S@MnpV8-C6WfPU5p{c3 zF2C!xo7-v8UlXPyd;s$Ru4!^^5C& zFkn(fXdp3C#Kg{ZSkfLBP1&Ym!P)jGc{l5Df(u`}?gxYFHAD9Vpvm9102Uc*@QcS<#X8c4xAC>old7Z2#?SOMK1A~V_`+R zp&q5f_d7o6i7mxt#@9}3G%(bVT4wgU2CP}Fc@uQyF`6-9`s68eyeVXh^rQN^@uSU1QVcvZ)14d>Rwj&uKSb_nly>CD^~H#!i073W{_CO4@44p4uh2p% zRA^bVOUBPs`av(Kh#9I!YWmXD6BR;E9u~c9eduz5|K03)*}_=LZ2^~{5|ae-b<1kF z=HeNX_JioMHhw){Y?5v5UO6hw_R{ve@*)Rbw|TWm?hF>HTg}Ajt%3a?NGut1XNfqQ zSBB7wo^h@*x`XF}b`bwrf~yT85TU!mO1I2&5N_&0=q*TXv_c*Cjma+a6V&!u^tpVC z-8Kdz#>7X-j^*=|#9sB+tqw-l1>0k!^aJ$})zHz{N5-iL%3FVtIqHlBf{n{7u;5|$ z%x?3UO%PWif{3Gs+VHoRsgFAq0!3nWVlbE2l`%_$F1RhUr+1)_zmBHjl6yK4>^+JA zX2XQ|74WerUn(zPP&-FvY^Hhe^ z8ar!#lmN*xqiACb4l1S|b}nG#(z<01T=Vb@wsFvLF@T{X#N~f2Z*OM<4tgR4IYy z$S?5xnX?q^ecZM?lwFyYIr|;*!H6(a1yXwlFAsHvBzzK zgm2#-X+3>v{U|M}2p1!0h_T7nHDo68`HLN&^0^Rh^(ZdZY!pha)@Mi4+q;Tf>=*Og z?5q+ZoNu(mDpDAR&2wKGwAovoh@MN0b1OqlNO_;je@n#s=Xs;W-H1#TvGPx!WP&eH z=z_~`Tw*1EM`Kp{yorSS=~tPf-IW-WH=;YLly6B${T{nfqzWYY9-bLWh!NDmG$G2Z zz9JnFBr0O+7!JgH9W99>ZB4b1jz{v#saLX%n}i_$28yn}X9%u3w0t=Fj%^nyjc!Z7T=jd4wf#Ky;4NtgjL zz@OsnXL^a?5TzXrS+N`RE3C}^Y5Cu!0?bsGvP(+^XK3O-e7GwjqK6>8&su=jO2Qo{Y-6K3k#GO;ItR%-QB<(OZll z>$vjA_vpVULuy%V*#t_O!U;jBhi;8g_N_aqW7Q&gMPs%g{2)81kaVnBIdUwz5cMNpSn6w zF%^vBSOsio3|622_U+pSX>_^sj6&_n?pXBX>RD0gXM?nj#_js?yltf2Y@6JygZVT8>RIydWQMse=jA9k3vNwR^ztoP|8BYZk`>aL^v*+ z()|<8zZVRz&4s0@{+aVX_xykO+~qpH&ivCAxY%afoq-Z7jk)=Gl8#Tn@0NxNhc@Rrb#!!Cq3#Gc51zusXa8*e|KS}HPzvR0 z7Jx1=T;1YWMWKs}3#KElsOSloUO_*CRi%G;_^zm|q@SUtLnh}H)VqKE3Sk88QLg^< z_3Pt13gM4|Q3@b7x|79)e0S}2^z>9PxrpxAzFcZ+p~l0EbAJ})LdX%s*hE_!1)w$8 z|7e${v(mW6Lu~t}Y?)0T+rYrUPE5ZnrZoHp5$bj=9RKI0hSLQ<=+OMaf?fZYC!9Py z-Ck#a*Y|ySlA-0Kx;T0mP?r6YPP*tth}6aW(@fc4~&re!s!c=Dqom1zR{Z@H*72aT4jBPj!G7s5^Ta_j}B^M9Ss=@VD{b}cYxGWrK! zn=h^4>gzW*Hz9aUXl;qnxC5d(bU{Sv5P^Cmx=}03Drx)KUtJR_&;f)23YUg<5T|P8fzV`dGiak(iW}dwA&MfUA>K#4thy zO0>0$Q1NqDDylWQ_bcB)gkIrrlyJgT=$+Z`$GR$q54tw7QQOt1IfRFDPK^1twSf+r zOEY{>y-rg8iui35ioqr>)RMWF{D1oucy6K@(VweVc$0USbBj*@o@HL*w3mp==ymo9 zjhP=-vY(MA&DTa&8^a&`6Raj>bb0V!($iUh2c$J$=H=jcVq=pHVYqGeAlUvvQ(`KT zdBPD|7_t!gK|sn$n7er1)3WN`_lN%g?uBAA)@+q{o_yVx#l^*K%fIg3*!aATBZ1z4 zV(KirtZG!Y?%Khf<2oPF|GV1Ebj%!>cjY>zFq{*0HXn5K^Pr!%N6wx0 zgQ+sose>@Yu4U0Z$bVUFu_HoTTf5)(hV@WEaxM=|99K58L_Lqp;mY7~V?yD32z%y! zI+A(KM|9?FM(jT^tKnsy9Kyxb)iD38x3_mewfRSe`pX!V^1;NO9w%c62L#^(l&ew= z3@O64_%Zp}4waO@I5G?yP)6`&4siY)zQrJvCj6vYaD+>jp1GExKflw-*aafVf_D*Z zoOq7VwW_>=`Zr>eo5v!w4U-~EAnRt| zxL?(JB+vEyA2vnb7N>#%Mr@FO7N7>0Y9nGDcg7_|NePuIRL>zhR}r%f0}q@)guIzt zg$MtG2ju2k5S!Nb4Eefea+kgJIj1MqaYoQkHmGm45Yw#U2*QTf<~=HAcKb2oJsS&> zP5F@j7H3%tDh~K*T6MK5g=mtItZeXaVhSBVNd3^{101T5UCA>FwJ~)N>*6ye+}en^ z*+#nP2(-xrQrbJg|C!O?T|86EEgfy`Qm-jG5l3w>5TuqRn@yz|ZPSJ0*n3b@j(fUA znWR5Ig}B*Cv*%fhoLmk0O(y>h`sXGn5v8^RoHS+zrIWE-85uVuqMKjrDpm7JnBKFx z`(|eLcs&8)9=mM?9SSiWg8Fbiguk0Tb~2o89YcqN^tpW~Rp|a$V~8n~Dh~U1ZQM#A z{$G9f9P>@<>zXh9CLx?$T&z~Nf`^KY#(7yCuJr6hZPy`X3ZhH(F$21zFpiD&E8d9B zrkGUreyaTy?uFJ-+ZfgO&!xg`xBj7Q4}Q`>>!VPwFH`4~mkTcu4-O64HG)htUZkCd zlO-t!;{Om+48hm2;;XL2Co?_k=yFQ9_^*MC1|=X;3bM0%$E#dRq_msR-dm-fYbMY{ zAS38rwkuY{$UqmAd`vWfzoJu>s^vASu2Xac3g7MjSBB+B)uJL<8G5rcn8;}OAzZKT z8I&q@#`DG_nV7_t)hBOQ-*8L*L(*jopWMNxB6te&^6uqiXFma%(xbE=+s=Y5)>GeJ z8x*~GJsa-q`xd1`(@w8M`7a?Eyb=R|rvP9nt+4$^5abhMpR1`wNFB^lI*b&{yM!nJ zd8*cOh{~GnpH;Db_daSn2$cc6O|2e&^2q;i`**IPoFFJDXx)`4WKe7#wz#y!YEy(N zgc^L@pgm{v@8*~1B%@4K4vSFe<72;_RcXRQu;5UtA2=ZjB|@d(L+HX*8=IAj*(Fw81D6>+aSQ%tYK?^XJCtq zi!7bAqLMGyq67*GH&;9k}g;{B@fPnaUQ-ZprZYyzU=b-GuHqCp6&*s9(x^yJs!_NivaNfdyB?QL#{f*T0t$nLjK_Y?<=UiCy~Vc}l%XLMJ~*EB=q+ z=VvWBaMz)Rko=hK8_)%1F$IhPbigGfq%B@R3RaxWqvHNIRt26jxT|t7*g-mJ`KWyH z;@`o|8O;t9aIX%ilEwS!g z&iYH^uHqg*%ck(J&f{~w+02*8eg5e|7E9SCbS9G+5mKfu^oI%sp8KZPPo*Kw_psVP zsCk_H{B0rP0zzMhyXdo7b5R0Q$3e(5rH1Wbi2psCM}xM1-|JaGEK|y+K@H1=xAu-- zVpt_74{%qY8Y%{yS?|2UkZE*)7h;t~o?uv@g%(Bdf8L0R7_s{$J9pm?>W{eBCySxC zOR$Bm6zj?VxnMGo%I!_aIW;Ai@!922b_gI#NwIYhBrJKSK3dm%SCB)-IQk6N zK!5V#C#rY{EAASerky`lB{TNqQ|1GVpy-()nnA*Gri#GR(^80qe5M8~11)oX)0_ku z6L0DY!iQ`BDp}c-;N|HLH`-^aiQL6;%Bgo7e9eLmeY41?ER;2$&c7ydKQU_8r7#gc zYZ^OUd^A1#cmKb;Mxo+alT#oQF)lt$<*3^(L3s?aR@1jJl*I=^hO zPE3r(%2*EL1gSDB?Ni2a%70fDzRZY@&Njd_BSt%E3esdS_o0Lxl=y>lb2wgnh|_8E z>^3ubJ6?O_N%xv|{?`t_`|47+MVs!*VOBl}xY^k3*FF-Jy*X^N+scT(p_@pE>DSPF z;>GaDC1re#2cHWxVd2SSGj3^dndB&W-W(e%KfY#*3;OFdeqaCT1?W`obgKO`ou3|F z=gbYD7=Nm=%t`4$^uBdR-Wrwop0;WXzQ2> z7Tnq&ZwD~5t9~qdY3>zd!mbuBX(nVVYO%>gBsPIJB<&Ex#q5?+EqZGN7K^l3S&u^& zP#W{hb|ajkM*?32@+}A-nI{PPcy+bgginbjYFbkjCt3&d>km@rU>ne(>qn50qSA-m zLQ}S)I7_u@13PS4a_U2iJ`WG-oO=*MQ__dWn)K0<5&FWvqF(f zBK~sf!LIShlVbI53bAq41p_*Bi4%KM7{C8}6bs$n4>^8kUfZyx7p_YQE51Jb(Odhp zqBE6X4$Hbw1I~q3aX1A326AA2IQ*mEW5l!^CR`ZvFf**nDAFF6THB{9I<`Q|3KJo& zrDo?WG3eg0%S1_c9&8{BpdD)N$(Sms3b`YGev1sURc^ZgYpye??9zx*scv5~m&p1f zW1;%|TXOkGJKgUWQw8;&ZpC+2vF~TcyFCe6jI|*fJkHV0CFak}7{@^*@@CmpQ;?1; zyDrHkPh0J2(k6o+T}V)9;mCT5VbmBk{rtFx*ruOV|J;E!*Gj$S7f|=O#?om5w!@ao zIFhPUDYI%!@CJO0upihtuVgS^a-1M#WB4K!<#W%N@vEOWPOcG=F?W2)iqpMKJL5r& zMV6~Ntti>)r-Rt@PqXTD52-0pm#YI%aU+V{?klk<-geT{^X*nIk?dMQZM#w>WQeWj zQn3!3;mBvI5+ik3^Fw;5yzpwmhWWHf|MdkUw#BMZ1L3~CZMjD-LA|??XW5hH+YWZ@ zq!Xls^|%DaShWsN8LWjd?U^uPS7U?eQ+k+f)OJLmyNVmHx)p;-w3~U5L{d^fy2A(c z6nrV~9WCL}No?_MX!-S@ao)b`BzWX{P^{E1|1VV?dHjXj-t{d$^~^GGm;rt-o)L{W za&6I@y`mp|$!C4limlB*$N}LNiww?^>n7(Rtv@Yz5pa8bf!lO0yiye}!Ff`pa4a{Bfft1%9=EckN$d~}=?Rw`kgG)=ghj!B_(%%a@rWpVE ziF$hb+Nj}OtMD&wn@0wSLo44@`Pp`S+5pml5@vs5Z}P`t4flR{CHnH(X1f+t?flr4 zluUV1#nh?lzA2@ifHxD+8v9&U4zn|2k5N+;G4nTAJVn}X(rxnms;v}VdiDYBpBS;^ zs#3-qTwo^0>9BrMlz+a|!XwbrxWS^}Yh2i#yc*{t#Cyb+;86XyoiEWftpT+<^DxQI z_@`^c44#AUYgRPQU{hRDWZt0cq6E$_0fmB#FvVei-fK@lRJs18h|UO|RC-x*M&^#{ z_OLHYZN3D&Ad^wB?2<=Dg~sH7GiJ7p)XC^m=DU~C+a^JNsl^!9>PjzfI+=~SY}%_| z8S&Pu!fLN;PYAacin#9JH;6iKcG~=;5oLP3;y<%D#XWZP-6US^?S!tVOWo(=6!v;~ zXh+3XG8223h@>~1*=qf;z$NHu^uraE*=3x--1ZmWd(e@G=GFGT{zK-U;2!X`9Q=a> z+GiuuPdgc@nF(G;inbH}vjgLHFkjKu{938hjw%HYtv(8l*>;vIjjr+1y6`eKEO=UNS@;--1Ez6fkyVLmDDRxNlJriQVtSs{Y+_fklot`6l{>}C-a&R$7%EgT&IfH3Bz^rT!mK6yU~3!SN9Zju zuHm)FP(Md@cDb|+TP#JjJFLRx}- z^YBZ?`|9;R4e3~ju~Q@Q7`s{`)x_z_SVe#vD7n-kVxNbH39~#(`&pPjbddJ=%Pzb0 zLHnzkwK{P}*=dXlujCXyD>V+n;L>)RPS{~oo4T+LQI7P)dVAJyV^l;!JH^Y3ik$Nx zAd8$mx_tBAgPt5cH>S`>X(C%&Tb}NV{Wi_ib?dM9Rx4-Ti$sdAR!+co4#se&gDc{= zgZB_n7;)Hee*FQ8Ast(e_Ez7P%*54Tz-RSV})A*Pet%+={tQ(TPyU2j4*VJ`F z&%eFW0a6UxYRkI}AU*FnPE_j<6BCaK+YhhzPBsP;Dx7CpW*~DtNYSljKC_nP(!Toj zZq-(?_`P&}tgpkJg)?wcMZ5lj$tWJM(83RQ$p(wWKyhe* zRmpBa{3maItz)h49^7naalkXg6y7K$%v&{!FiiE^Y~O>d#B5cjL7MGD4-XH2W<*Mj z`ftv*x85@>U;f1)?y)^m0W+5Wxw%2e0^0T+-fV2ZT z9}4n~ie5B7fX?XU8@MZ^O8MKeEFCSE^t?AHw;!SQTpjm*s-~u9Wu~f*;-O?yy>(E7 zJ1H3URUc_x2irm2l`0*O2jMm-{bCJ%*J9;hXU|GYOS?VVCotksJ^hwTLF#mW##0Fs zc;=jmNu|^CafipIrc8&Orl**h5vx>>VWiG*H=CGc+_DyA2ks!fwdX(8k6_9+)sS z1)Z?{6l=Uu@$7d>jqy3pl^v6&>!eIIy%Zm*P5m|qzSCjsr<7P>_?a*b%O4+|8^Mq# z@uQ=o{7_B~jsq(Ti@A!e&CPI)kzO-qtW=3W#a^wyhS%PNXQyH$BSXnbPEL-C&(5Md zZg*uYW2_FWhb#E8`~BYjYHD4DltvoTIfaGw%Pn*;dNCLl-Gueq>iT#bdWB~5(^x|V<^J##&vI9Sz%Q8LPjOY6NY>(*ZV@&^@_MJN|?-|6q zmw%=OOENy4+znjtN@Wnm&RlfsK`$3~Ivy;U5)SJ;r{wn1+jiVf4tHj%-Is2boSwTt zj<(#GZeCC@$#QYHgzH-+_t8-C=t0jX+SNtd8}~>Pj*GN1RihzfOj3S$q^N7l>Ufnv zg;th&p*-fh;gDONVMW2ShQKqCptvJ)7|aE#5{9;Rb`-)b5+5c{Yt!rMPD3lkT{;_p z`&+H&>6aKC)%)(P))##F@&+9)DjZz?n&r6s-3h$d!?M`#y73+&IXCQ8#aafqD1w~$ z+NIaD5Hjs)itLtZTung?_SJ6H1E?7n*ioVW(%6Wjh<9WxsAKt0 z+ZEP&$nLN7CJ8%;m7&pSY@y?B?NgTuEiO(@1#LZXwchdZ@pK;J>SK{7;yRd;LiA?G z61A~gZ!K_eNmdT3OKS1`x2y)1g$;j*PI{iGwU|`Y`5(b6-S8MbM1Wy_b#--JQ4t@8 zjot|ZWj{G6?&R@Z+w9~mRQdqBOLdsT$L3%f=YPDKGx3^w9n7wgau0eqPzV<~-W`K!2-3H70=EiS=~ZM}*#Q_pZdBxV$kM=%+SS{?vx@8fC#R)^0U>*!c0D=QlbA{P%m>IC?xt9*5VmkLz&=SpZv|k`CJ#e-MNndSKzf7fgjy# ztK+?QPcR}PqHd=W_`9Y_k9I*8pbAQ&1P}}pK)_?Iy>M$rYF;z>aBpob$?E5Bpz&^Q zVO^q|;rS}70+U)X%PRA|bn{m1?NIvbYMzJqEcW~?KKw*q-SHeRd)@+Avv@b-2xq1k z0m~ovTW*!O%ypD@moTeKpKO1KWLP^H)6mz~SN3kPyDY!&5dVgG<%jtJ%5~x$GB+%o zNm^>fwO?GmAjSmvyu)be$Gwu?7LBqlq*Bh<>B|d@PPN!dXS4BY`PJqG>nsKP(bD$W zg#{5i)0Udk%;JgEfYXE0QQM|a3K3ZSiO0BKU$SG(iZEE~H91p7kcrIjni#fw;QaUG z`+k!X{S)M+Qg=|m?%m4LD>Qi-=MC!E8Jz$dxNPG6`_x3_x9}4+6$$(nZ}n?D@<%|s zkBzmpQ&~@i!`MwV-!7q{%1!X4#&&J=9Yqq(BVaKRJOXxud6jsUp{<9(B+clG7tL?2 z8TYWhFbsbxh_%*-6w=4{A4@vy?Ci_~?j?9f@x9x`mOa=L4%p>eeJp283KJ7)wSet| zE)0Xx@x?{kA+qYaI;o5U!giK)gw1&*i1fXCON)y}Yk;8f9-06EE}^53rWD3rIDV5R z8`@%wEr5Mj;jN|eCyd$^3bowQGBixmJz-%YaTqf3b=W=$IG$nZC9I8A^dP~K*~C&7 z-k#GjG^9Iu>^EwYB~Ks}2Ap)d7lDol0XmPbB}4E6-C|35rJXxRfi&9a6)(UWhz+oHMWcPc zJ33m2K>eW8P?^IxX{&CeWwL2|K~`5S+wd9L zwH>w>ZBe&rCQP$SFD%d0f-2-x`F*xw$&!Ks9!om58fqy2@0a}KA9e3)a+vQZM;3D0 zu;*y4UV5rpVc3*k{w&RI`MZjO>>RKh3(1})C4&Qwg(LhUH`(6t~+U= zjGNqClqSFV!~C2a&Y!1O_(A*BN3iJv&ePw25kTO-f%~7;3WM^Qbz;0JT$HQz{<`<` z3tp@Vfb2qy=YuZuyvfuki}{$3Mvp6XQ@?B%)A>!<3^GL;>{PXwh1uEJrxu3a^r?$; zCz@8D!GcZYr#{8bxoCEE1(^;O% z$+H4J+tzwm;142zm&YG~UNKb*i_ary?~?YOo=ElIiGYa6(5pwc@3g;ql=jQlLn^v7 zdMMgWLt^7qZVHp%`a{94ogq`$=GIn5BUAf?YzJ0kR}g;e<=R9hQn`pvUY4jmg6N+f z92{g;Rz6szz5)nQL}tYK`LZc8Y$pc)%JP zP}W*t;VM(d$>r^_lLVHOFp%rq^$>!_MhIfXpg!r`vV1yQI(f}ot>XA z#9O!j;&+n)^4Er4suuQya&5n8!4&MqtFh*zMiB(AKU*uqCIxSX`s$5*{`@&JfN(mWSJKU2f%VBv;4=%U+8H!7UPv=8H`Oqz zU$KELv=O=`wp52Uym}<}z9VO>lHKFDh8bZvfJwYQMmKNVXs%5eJy6_@+)G?>y{7{bao4*q|Myo zCPbq=V^T2CWuXd(*Kypt7k*j@d_*;YzxhTUsS7W{9MlkvkA%O~P%PVNf#k$3K|NV4 z0U*r*wohGRK3@i0vBkSwo{iB*(Z2q(w@`0~FzhP9V{vqXvC|!CN2BpZAJz_I$Nr!gYtBv7Nx^n3_wp2F#XP zQpvGuE-rkYp(@&QX|St*a4->&pk~4S6(T*9p2lOta{Dloz~2M{pqe#&wuO!Ka2?RmtExNMl;RmCyuknO! zOTzAh_P}m!J-wQsI)EYtBrx>kaZ3c98juvy@qlineibS4Od4HQ__TL!JVFF}%XI@F zyvI0+w^&Rq867Qc`dEf(J)AGnN})UnSGS=KQaRNs9_iDKNaLl%y96(hGElr8ikJj4 zj!?_KbljSx0-*BrTWyIGNo!!EJpGl5mpo5)hK>fas;fsuzTQl@F6oi*Wf_RJDKu+E zvtE&Ngx!kzi0;T+d@Pnn$u1onnc%{m+ibkNJ*vrKLi5M#@T-3NQ=w+v9O6+i9aM!2 z@qDY39~dsayHfZ>UmxGGbb7R=VfTe38$Y@<)QRaN=k#12=JQGUY*;=kn6q5G(z>XX zY}t*(`<$%Stg%V9u)HK+tE&jL65ShjoiWik36b6~p=22n(VMu9q zq>#(p+;k}c`PeIqqq&ivKc4~ezbw`oqz-mofC;|;{F84qjtZYVJ#k^TtQ}jifOJ(? zbrNyWQ1NU-oSq!jEZX3H_YC+KMt8<>zsn38?*oXtbg3ot=#`x7VACMjWUS9p{)g^f z(4(bi*go%Yd8AbK!Qkl=7YuVY__ z{~9VxtpXW`-_rC6B3pDp8|^S-QE2GwT*TE=51_yIC_Y)k{B0>O9Y9&YN?>g2$X`h? z^Wsqcs9MM}mATGxTp{a1NsdwbZyrZA?wyQ?e0 zo8nYT?+jLMCQ(T7C!f)Z;u4!i3R06M8tVxj@Y}460#0^%(LB|^SoH1)_nMvQ%T#ks zj*4cy7v`f4bi(g`fQ%RTq0P)j8f!W_l=VhI(p?A#cXDUY8n?T+_7zxkzI+PVwFc)7cU!_#xRlSW(-6sNa&>i*nqACyqftc)DsK zWyw%+&1@YAi(#T!zn}2gpWc6t%XDKxefPjYBU<65XL$8|xFJK;E*o8E@2#0jUlh;w z<3BiD$Opnu=`Ye)8wMSS+vk|N`b|*V8Pt{Hw z^r7H*=g_UC6YqqcXcWsu?0{6DKh^_ijdgqKu*Ym|S`>J7_#Vqz{3k4ji^isSCd*Lf zm}3q1p>$1rLaiTL$h|P?r@wo8&B}B4QcU#qZK^$177ch}d3#v+CAXEU51N-qSJbFQ zL-{8{ypA_oGq&o1Uf|aUp}RbMYi|R_wB%8Ex1RkxW@H|_CBZN6p1)S9jw72)dYfL!%ru+jH@%hB1%#XLzq6bpV<2IhRU}1rqytZ=m}%|Dv7-shA~btKwTp>ybM8A<}b! z$?v|;in5^FhZFrJRE#?R)_m7HtS9Ix>H?`t7k9<@buDRdeyKuMK1)6M2XNzzviI=Opz2-uGhV3Y*})=RdTVsV2M@bz;z%63M*4)O+f z0LN@A0FR8lM{s&(2C&9OaEZ_>Gv4zl+yB1;AkzbanTR-L+jW8EpHi zP_p%Lv7G6x?O(l3Xg~sc{m@LvJGJSxt-nA&+Ka^}T3VD}tR}(cy*R6YZ6&*-^|O^H zCe|NF(}{+#+5wR3vKL4!o8(xf`g^pTmE8>u29%XG)2d!_z0Uu~@1PAR66A{1zU1^W z_0^u99#4m%jhWUY5DN943G{jtw@v|I>gf>ynnEk%aHdN+P9X`#AGn zyt~Zdda~?HYothqVx(}gm^(kHF!b^&0){WT_$4EJcANZ5L4k)P#^~|mNwHAHNa`=d z;9TCH{}+IfVQc%P=a=vZIuV5>yFEnlxtqJE<=~k>yXqT`{1^w$6(9*|kMBA*boxqo zM$zoXr zWZg(igGspEI$n>wTr2tvR2EZhZ>&}2)P0Id; zBgL8)@2=#@T)e3;IJxA(tz}?f8$!;oILf{uD0>H`0Ajx7d^ll63p^7+2m68oB)<^^T4i`OV*WuQy)k0_S&Ll&^t_>ET?5;maTq z@7_BO7g<(EKhIj`a50WB(g0;4%G1Y5xcJarf98QD8T8@k*jUf{R8vMLgX<4In-#+& zS--nf{J%qa)#_0h2hc-)BnsIXNe|u;H52nWmj)l30rK1X5%{jqZUUhP>mI82#O(x! zP4XoreHHci^Q)iNuPX;eUA46)4Qk+GI{e0!zRkk&<~3(};Kg*R%f=?*EXFc9%0xDr z#OGyWOkVwjJ{pz8F%2`>(TJu^`b1^Ai#4tZU^jEmk_tB!Wk4C8KY-URhPOu0 zwH8=hGGVDXo@yhCOl8_9lY>#AMPOLB2Zg!x^z`?_v))so3yPaxq-`zqEKT=zKO8MO z1hoyJV=O^u^J!ylzMmq&yUAN#!3%~(a8-IIi+c`M=~w$S(67<r-|c%L>!~r7GIP zB?-<}t(B@;oQ>(Sq#Wm`6SAGXuVw`)A%Uu?#a81sZyIGNM7-$H@hbz>%B2q;IqyE* zs{^^^#ivq%<1XK?Z3m6m4>t2^ZPRQ3z;K)U!HYZy%LIj%Wp8WiFSkpT)z!(tSuXt7 zky4{fRT|LzNjhRL+|k~i22Mqk5c*Fi-;aIHve}vw2YsRvG)x&88N~FJAd|cFPK$_& zit2lT@9uJY0Z{Z5h6+u4V*H5GEedVrXBMZ2FGk+_%9Z3r%+dp>N#8)k&2pK}goFh3 zB6R`XvpIyCQwnZK} zHuv^wdua5^}-%Ovd8yv8CBl*2UwX$w&_|u z__pPZ@yJI{!AKfsBO_$mWp*Z0kY&6gARDc`FzOb?Lt?WylB` zlW(qCY=#Mwvxt6pDSpzPbnbqH#3q_yD>yj#^+wB=ALCP;Iyo0Z9&rYMFe9c9lqf}| zcesm)##V4J@Ifs5nJ1Y)viv&OB{vRJfJ*el(vnTcaeVlBJ#gi?rU%A4>(`^n2_`MS zPaB{G!>Q169`@dh!Vf!7Pfy)8XQ2;C7bAk=-&ljgDM9u*b5T)OtKlbN-1^0@Bx5+d z9E9nBh#dCq+c#t!G+XoY6*4No;oNU+Np$AH2}Ae*g+{I>->o>KW+yUo^4O+pkDxmf{HtB%P_!I-Y9+ls;sI? zMN%i~I)BlI_IY8>cSFSucG#9zyn%{_Rfo3;b1d02zl0Rv*R-u5?!FcTv1AVT0BRz+ z!XV$gWCX=y$*E4i=Ges~5rahDdq#4G;<=3ZMpuG>V&Jtiv+Q}|E_8Yn9nsBemy%T3 zk}uP&rROqUO*1yH1GRPaG#z_kx@0N;M37ZwH^t3X8CE!MuT;Xf9=!$_gGte&q_)S9>tASgT9e^>wE+yN{Zm z#d0WvdfKAy_*`dvJP&gO+xGYGa!r-}MME@k8TWAL8_7>b`H5lRRMyvZlTzzzHM=AM z)K_oJ{61Urv!(PB$pGR5`%2@L?vF4Hzxvq&9O2Y6rIaJqV%2`tMNaNKkU&%n3Rhi# zzJ9*&W>S{|4GoQ0ynQUtLpe)D7*AiPzSCX>2bLa(9s~R5&-K&L*D(+ay4TyCz@?k# zWFsrn62q>sduzAh26185I{V9)FFzzEF5Z_~naVOKq=vO>aVx+9ZA=O8MGNuvpo@hH zZ=iK@buFB0(kBPr#~2K9R(T%`^uf7fD9VZvaXM8pTr+l1aVfDeFSpkRTUSeWnqif> zk4cJMq8p<{Sv*Bljb1i7vGvVa7$POST~eAmD>UG%lKzLK&yoRob1*glSaNOE;_a3E z*A-{=xB4{q->|DZy!E>R04_ZZ2`vVAv1vDavom_K%wvnh z>(@t~2Z6j$skgTm+|0qu90;1)l>jBYLAQ|1;iXeNV(&KDa0W!6Tg~6U-{-BO6|#K{ z3We4H+0@;|!5OtupB-BtP-eUffyg~=THx~9nJpqI14pI6EZT;91F%je(Ydz@R-?pk z6`)nV@>Q*}oEzcPe>b(=95HQtJuK9(G99_FmF32i)zW6RPWr}WlCmz^=XKfc zZH5{9`}-H2UxkERT8Z=Q)HA+Own`6DFXzh!uX{{^-MNcLp^1#YJidJvDVtkqI0Q=g zpFv3hkC`9a11j!ku6jVWm7OO?OKoHWPp{sP(Y~o5FOTntl!hp*XmQ@EZ)Qnx%rE0# zm{4RG@J)O4`mT_W&f6w#!)KNj7Nm2t_Of674mLHzt3fl&uXR5yEv*p(P*XpFR+TA+ z43Fh2!ZMxU{K|*Hdez2G-v>ljzdBlsqrF`ZK@tjDGu{E01|r*~)ukSZt#CIhe_%O} zj>yT#Zkz^yJ_WafSPri;6ACmPjj5hOF)2zXMlS^H#t)V{K zzaGl%lKpIGkl9WBA*O0KVp%fsYky+~QwoSf))CvC;Rw*QLR&7fgS~jRSt%?hnQotN z6EMEa@o^(%4UMe-LB*>lXkgcTuYNmTaZxT5F_?+2FrF${-8qpAthz? zs)6ko#;A9D{K($ zZm84_cDRpvE5vRbta+R#OS?`{W%(U#H2G`!a{g!bfX8320jT6OL0A5)2PY(Z=K0<= ze``@xEGS$IDJwVn*3^_7_cHGPA?hlCs@$UWK|~OckVZm4kX8W^NeOA`Zlps5Bn}}U zf>IJnih!VWcZYOHcb9a7((%^0^WMCfJ9Fn=70>zqz1LprtF4i5z~SE?(H)^fj_Z6r z{FythCr)<<=RwUgAj1h;`+&Ptwzg)a7DR?Kz4+RUhqXjfBe`eYW)g>+M_r6`V`pQN z3*RyDIx(Z;_&29#vFk7)?({&fVooXT@8Qs?XJ@)MeFt&P$=~pyqDDGBi`#mikW_YC*Hm%(#U%d16vCgA1bta`h;m!Z22hnw z6))DuHeLz1Nd4*xdj%Ww&DS!WBi7XPbey*i@Z%!m;$(>KD-h2ta$K6lqxsCZ%Z*5i zobQU${Z>^JV*C^=(i~_pLo%H4jY?bF=E(!{)I zpM5BMQxGY~SBu4(Xfx6_L*W~%3h48P|) z_S%vE#g>gpgQ@zD*kP!Ss^i*(_$)G?wUnLe?H5vdIRShdGwR%_8)HxGkPBvCfq&M1 z5_%wOo2$|j=Nt186Gp|bp6+4u;+t#L=#$L{FvKqRo!ua4BiUN6aY-Bpra-E|Qt;1L z!UM;5{o`as;$EkJ*BGV__S1iO{YYq2n=<`T7+AhP939LMH~O-06;GOpo~6W3;9nM_ z=G=Y=o_?-&F;kO8WYnVvhRe&#Dvpj^pr8s6Ixy#)KLPB?Y&7e$Urg6>cl`aIsWhE` zaD_v|#9ef1TMeFIaWZYQ*Os`OS9hVt;+?}sp1WtQtPKL7NG$>hG99?%EH28gAbAmuw2&$7_Ge2 zt%ouqn$Bs2J;@PDDH1miH-YJ^dR;hfD@HZp`8)mz{z`9>6dXX#YtXl|q!pGkg1o*?|Hm?j(>JcXg%Rvku z=ofAtX=IZC|4y{uJP10+T@dCh!aKl3T*tsjhG|GzTAE-Yod3{$G89IOU`%`(zFXyH zU8FEPyq^xc^Q6aW0!BD9=UWKSzz}Scaq3}Z4+mYtz%H;bFV=2Xgc6YIaHkYM@#V{x zerGVDt~UDl`~PZdlREVRQgXaBd#SmtYm{tGC-IXdjJKLR;?f{ z-2g(O@$=M#MK^l-KY#v^chV)QKu0*Yva)jMQRK!hDELkP;7zFPW9uP;?N6rfV4!Fi z9o59@I(k*g9%4CD;|5ZKJJt9&ID;KGJazL8>xI8eVw1ABCmwKpqEtwQx>od5BQ=PG zt!P8cADd!XQ4-o=Sh{te=l*3u&PI$gWZgx=m6`}&OO%gw#Ly;Tt4c`SG9rKlJg-PI|v{I#uHYK_q#d_O}i zRhEQ~!?{)+{(ZO!JF%()T>jm8CNEzaaRtgb<;r(-d7nfo!aqF$qbBf5FZ`c&q)WZH zBEp{8+_a^7>gYFpfb&?9nS~{ggZT63&rUchQONlZWRhZHVpOe)5=f93)pRZvnzW5Q zPBM(j(#+5E_}IGxARq$K7Dj8)3%@V?%a`{TXGhiF!hnEX>`NA}T5;W(X@PW%aiMzq z0qmV^<`tO5H1hO1wqgE88|zY2k9L#wjN5lQ{cH7crz27YmegR>5@2*0IO*7*fBpJ} z+?_)UkXBO3c9^YjKreqi8$I#@+R464w7bH>G#c4ag&N6e%MMqU7q$^=Iot59Zxwl9 zV0j*HYLlYS-1hG777zioCJyK7#&F<{=IXX3euRF|EHOOXD7K8<+gfB0yMq-26LYcq z$t-c=$?@@BdirZVwemZ&^*bntLQX(f*gz)~weC*mK*p$5U+b`V12H$OX=oO_nUTRP zYOGZ2?kwIyGMgSm%+k0GHO`S|2EQZ70ia!Pz*tL)3{B*wTTFmhpurNi#m5%N2@bK2?@VELF95yk0ME14^X=L3al^~P z@6f{DrJt&D#)0BseszGIb9{_+={|b0CD<6Y=cC`cGU>}bj)u5_OOA-|{xCOZl*y%~ z-m~ZUPTu^+-6*${y>W`n_zD27d{dYUbaKi0?C;90KnphpdXw#17$knp&dx45AwU1C zgx$W%>uTnl^;xIf`l6F~&vTr7ICyhXBS(v_j?m3bqbM z$QpD#%`o4Ly@kIeJR#xJ-@i_WIUpVq(^*fulmC0f?t`g?1}$H{@zEPi_Jyv_4>sKaAXRZK0##ha7QJ4w7{>fvI{LN>%NpIf zkmIJmcvO6ME4;G)<>qe07`S(ESdvgIk3;FXrFhL5L#Jg`LQ%7w`4z)a6MP!97@e*1 ztjWas`uaJY3s7BSkyq=SOU>jOZgjTAT!A>iN$G|sQfe$9t1G>DupX^a;NexR-~rMf z@D7Xl1kuNq+5*v`v?2zhJEr%V@LXI@U0@ejfjWIN(KQLqjbzj@+d}FTb+k2kKV$=V z0J2j)5y{={`k)jnC2pM1z^^SD8t~0{7_cA=g8z8zMS?V-tVZyaT4eW zKO~j$pQnmKKl5W<+-q?7W@ zhN;oAH(PP&=kASzr%@5yaSD_8h%>%bW}3_0aR3jb2cueW0v78uZoD2$`(zgixNzD- zgG7F3*;rM?su72pC7BeAVtjh@@I+8#?<69daX=FC3s5lcplrAb@7{Z5`P@Q7Znw)I&wQQqnNJuHY_kg?$jPV zgkO)@Z`HNS5Sa7yLSZYr|Nc40&cgd&EFCp4iEcA5rT}#paVU*YXJd)&_-&>yGWHan zpuB*m{~mA??(FZ}7CjG-9@965P;fu=zVtlok)nNj?@t(?O$gu_#WtFHe+@mh9=lBE z>OMI>Iicg`CIV%?Afmc7uz3GZuF^Gh^zqW)Sq%Y58@${}%P&kXzB30YMFS|5p;MYg zpm5>Bfs3_M*IFI4XV(BWicR;v@1l0qSV=-2q>OUW#Ox1G&aFGNtG5B&uQn*NjWcrl zuH&}rd}}P%b*gY?`Ct_ENk3Cl=^i~I1WpGbA@}2cBC?Uul4NFUfO;UUyIhyy$qekW z4Do$LOf57vQOX?ED_4%lDOGZY9Q+p;e{MNb9>+z+~)Vm^K8QVpIz^q||-p=eO ztMnV_4nYd}4q8{fP4VqMc=>(~wV<^Xqg`p^n4yddaN?X2eEfPwui&>kJn`|zuPM^} z(dMiGiB7*RLv3 zx)1R-W<><}`9E^m>T07{)n&uE-8LEkKjMp=Ja)lur{kYWgJb5J#QU$_uiW!K z*Vl_=Y2`e$CBAHV_biHGSN*BIo>ZwDB=T1gRs()2G@`l30R#c;93{(Hn(~E+r?7B0Sup9~c@STf2&Yc^}gLw7;e2 ze@pJgi{~&|U|6CnN-yW4^BuJhhE^l`04M*rR|CGOP51F4vjHcwJ!=`Z_pq0Bee#u) z^NY6Kn;z)1!FI7Zc-EZ?F2qb7V&+|J#=ejgQ- z#iV6Pg5%wKrsGJ~G#p?`o)@~iX8H$9000-9;cQI{?C-!38I2VfbGCKkxPtwtA&}_) zPrf<{(*W)+qI_fmK#u3<=YB=Dec#a#)fLegfmYC@6*qm%t0kDsVzkDm)}#$@ z%$8R?#yipU*pf96*D8~2nX`DXF2Pgli zO=Kk#&UaK({SXq~=pGOf67oU(2yDZTfDP)^dr_mIq2cXyeSPxU?wHnyOkx(qCWynb zW;Q7`vqX)j1QZl3%!?3$6doHJfJe=Lm!F@Kj*bos7uRpt+CPO^?9y(w?h||zY`!>{ zaE!M*p|gH-Q^ySYgkun;z6Ve>SusiYgB7|zo@3Y9sz2rzK0 zkVhGwq(m;!t0c!5WQ#fy$)~#9N6Q%@xgE(Ba3kusIX6g!pMrPc>K81?T|g-2L4p{~ z8D0|f6(&dQJ0E)rsL%ui#m&vre9+>c?*YlibttFMD{`x`Lz6xS>_ap- zf16=H^#7D0(yMm41)5dV$5c^KG2)6-N>`wU5t{&d5CRBTNyUDT2CbU!%X@r$Pp^!Mg={Zez(~SSq0z7fDo2g+*2u8Xtt`BE(k9t$|+*1T{&v$``kr4w_ zCSsM2OSo-cVWQCp*Nx`TWvW;Q8I|!ub0Bgfw;VBM4CwMIUF1K=b&3@WxW7g9t2a(( z>E^DzLOI|qv%A;n#ct3M)6j$(dS8$Lx+x0aKkn=+0CnmvPi>$cTm!&`s0UN2gT(Fi zT*Eu~{3#D<_wRfVw0cr_%$seup1HRF2Wy4Q2O*8tf{jbu^1aqAAR=|k$ElxNDs)MYjr8l+<4;{IMa{+-GP zDU3Ak3-JD1p{)8NLwIok(hPwG|4GysydVZX{z@_en$U*IuH->=Oa|Sq0-X``$P91u z)T6yYixKr+a; zQqR>7!l5LG$})qC#obBmJ@u;^Ye=rjdQ7yv0>?h?O_nbJ1I9z9fcPM!qdC-)Sp9Gw061z?suKz4hmmc^3!Q zC#>b#nC-K&TN=gqSy6cJ!q$wZ#{+ho_AYjD@FYBok?9qag8G$?7%(pRjN3|%e5%e+ z;v;{4LDPweUsP;=dP?%sV*JUBr@VP2hYnQ>PH=oPW>12|yZb@OGJ{Oas%as*4~1t2 zz@@qevPBcn3s&uA0w#sm%MhUqJ>adCkDjMz%Fs;pr@gp?GC8^3Xo^w{dnANiY;^f& zzJB2?$6j7(kKTDmyLqv)t!<7br<~7TW(z)zAi=)&Pievgfhab&Khq8yLz#=tUTD>9 z6|yxO`+%N~zfsf^JUiOyoqAV)wk>ct1)jIJ0^ZknzKhIHtd?xRrywM}dA|#4)59D+9xr!aUpnPn#8%Kst1VG8L?n+d<(W8!f7dg=fo_Af&L zW^<{hPoMhgZUSK8d@@`Vp-W}R#8q+aOGopZSc!9Y^}W`X77DRD6^+oIh@Ao;{^6DA zvdh|wiKMrO6x9IZlo~(HO7HJdpx3-wOnMQ|`$<0^uyL@{n#6L>rmI0QPvoJsPJoG1 z&Yoq&(aDL2kPu|@ZhE|V5ApkrB#e!XuaD_(H#Id;w`!JHD#I))ka)}w+J=#+T7epi zUK-MThFCyHjzu$6UrpahD6`{=Lp38}cLqb#;aGlyRH^1(KFDoMvZSMg9kQq{gi<6_ zx%ZV>Y0uh6!CT7CM)&$QnE3E@WHbmQa&V&DTA~Ij`cLb>BF@dPdpiPqC(aj9W2!mPv)Fn* zHUJG{vY=ag2y}vLGte#9D=oYA)9Ak{)>)u?G&K)%1a?t$Iagg+SXkez8y0yY8N1fq zS551JX+^`{=bHI1jN{=(!09-6CJtg&yA=8RqH+8M)tcnvcgIyLCDhu3rUpLJ;TcmC4#wmRkDXU}qv`(R9ECAsY+zS8(A>o>R#lctLj@`}&!2d}8lGAl-LjCBsrSKey zIw)n*;SdyP5r6!WA;b#YMxNRq(Z*l}r0Bg+K~R$<&7!w!5c(p25d-x<2MJ&FG;>>cA9Qcpu>W6A@>3RQ7rCCdlQ#!l6o5o zd14GhuMS3b=SO_nky1l1Dl9B4qtS`(16W%!i(oj+a6Z066fc~xcAE1GSmHw4?4f|Qw zgL(qOn-88vN;(hOMAB z00S%o)<5{tqzlVk1FHoU@B#-xcbNf=jT+P(QOnTa;QzE~tm+1yd(Y`+C*EUE&BIjC z53Ic)=OC;KnMD|$vIbpGFiwdS1?g(?b)+auyWm~B3$c`2_KUUSdt1r?O6i9#0d35E ztkx{CB(hD|X4$GCmf9YxfgyEQmmbp|AVs@RU;7zc-S5PxZN~~wsh+E#N{oz*lmJ;$ zvY+4eEUiL%jO*7|@hW6wWmDj@uE?M?G#^k(O=V?eHK1XvChF?y)QZhttWT6?hw~El zw?{B&>jBNbSLKD)2d-6C_G_h>IhoEWTdDw6ldVgbZ=HhcKxJ(p)!(A%y%X@i-3#+= zpJ3EG1uuzH{0q;gRwOoHh&37o?L^e~Z!T$bOHo0dH8r;%fu`bcXZFF*HA~?>R-`(= z+x|UNXtJ0G8&C(3>f0Yc$Y2R)V3i|$95%v;CgGo(lm@Mj=I6_~_I!IPrZYnmJq8r6pv{I`3krtXXArQ= zG41%g>HgoI%BCVClLG(APf+8kf_?!b>?UFe(CdjplaE91B?VS&p0J?RM);NC|NQw= zx{Zxv$v=nD#A~L%>_L>74VD+pB0j;LM=$*dLd)+CbItZ7l(Kj+lqmm@Bt8cF#kOc`cWh;BNI`EAC)E#S^p5> z@ebI`#_cd#k!>|z1vxn)yf%!@=)M|3w&L&yO5c5w<=60@s_aH{=q${avn2ohtkM+D z_KTCOnI&~h0K+)VK-RD6=$ixiwVR02m4OGCXRQ+Q^0+W*$#epQo7(W~tU6Hksk=<3 z=#}#3jmPlFQe?g`^@DFik%U$4Zi8@HTWhO|o*osnqrv|MpkRk<#M(V-)Atg z`|sAT|H&U~5&}O=m0$>s&{wxgXJ(~$21ohN{Ubk~;(PVPbD3d7$(^DT3EB&=uvmLw zSobXvyy2w6|5c2?N2zTJzq%Bovv3NYG_z@yl49o#Kp)(+(1(56vkD~arv40dLi@HI z2?a&RrEA;Pa(?^H>A#I}?+5kgMRI%8{7wP2sySMZKFW?j&0M{E3pyEb=%&rY(!0%n zfWAx_cxE_F6tFgSb`)Vcaoq6u#4IGF&lg8lpzEasE&QuB~J6>y|eRx`2-B+vJxq!!w~V|bTVAERP9c= z0wOy<{~upz2>Unk>w6L(=vNH^>?`aIa!%vkgA{oPjsBGfE#l6A>wa_073f)<{@r`i zHCyXZ&Y2h{av6J(6dBo^H|!siqoB8@iei#Dm(>+uT-ln&N-={H-6(*niZwKdK9pe$ zCQV;P9K`8v6TUw(j9P%HA`lZq-N3U*K);v@BPW(gJ789E-}5eR7(}2D9h9^+@>b|F zIs-<&tl)VI93$gz;ufU*wdW_9dnF$dN;;h#zM8)PF*(kO`dMVob{F)VKKf{1zkFd} z#wiIB^%5K&!H>uY57!POBs4QM?E_mmN|vEO;;F+&`6})coa^nFuRGdAMmfho!~lHFc;rVihL+53{Ua{7tt&HMYK~jZ&=^h0EJ@_4K&JK8OO1q@T;r&R0dZaJ>fO zcEmjmqyEK!@=;Yx>{|6KG=@B0;}zCJuS9Gti{SpEo$*&9AKTO?6*qay>4Z*;(4 zu42OLAs20KTOBc!CgkzO_u*1r7ho0 z%Dxy-zMzbV5G#WX1%?@8x~uw&!#e;6MWgtZ-zQw!FL*HptivQ)cO6)*CX;x3U^PE_ zeh)z@S`EOows#=!4Tk|W9ptzO%4r}4xXqB*+Mw&McuxBiy zI;&i#mhgh86ElKU{Fm9ftukJ|)(lGN1F*yjW~2`}c@*b!;@pu;JgR~BF|bM4wZb7_ zRt98n_n(REpyAgFW~paO0@`2_PqF^hGr;>6<+|Y)gc8^iP$9CYv+#A@2@|A+hl9sh z0p3bF)M6q;mIaGKa8SuzZkkTzn%_;YmB=HWEJmk01K zD*O3s0DIslVN4|0DE`+7s|#`|KGbs?SXjtHI-#_h8&5S4(w4w{pO|`-u`hS;r51=! z+Eb79ezh*F!6KoV*M~-}$}emKk6Og*+tzaD*mz0-co;WzZ1!?m&<7X3SS3>+g&qF{ z5R8r*dUG_l=sN6fn?Se1ac+8?4gdaMAzWSq=yjr(W9nB5 Kmfxp{C(H(>l)6NRP zx*4T2(b{jJ35`qr#kQ^Xo130c=Q)RJoJU2rEl4Q=aN{het2^f)#VKY&Y>qfe{Cv{| zS`T(ooc~U6y&Cli7y`$g0k%x#i?*)xm`ES0fh>CQBMzUpbe*Hc#g}&%!9utZNe*AT zk#G5C*FJr*Esu4vr`Er5)cc0!YN*geiWQJt0&~D6QDRFp9L*(AEy|qL{15~llvOni zx72q0Gn0I5!<1m)UsAo$T{)pw8=&`8%Qq1Ec$^^_of4FS^gGIqhUO|dw+!#(kyNyZ z*OZK+V$4Fa&7#IZ9!EK>nW7C~R(bQS&m>%2cu`l;6lR||1WJq8^?rRE91y@E`)NWJ zL?$dS)d4Pdzk>QeV;7d$V5MgECKlW9u<+*2PH(67w9&$3`Jt{G?krdkc$Zxn^VS+=imV{5C>#=234o4%g0Z;|G_#^`{4mlFi0UKx4Lurz zQlyPnOka&;^qlakca4D5Q6W*VW5Hv0?wxThU;KNac}Uq%ip__dm{gM_hH>=~&eA@E zA_s{C@sio(PM34aF9DYDf(P6mt*cs3=}g&DJT02bB_eKI@YW1W?Tt(u(hdA>8TlR2 zo}AZtWvp-WL5w@H6=n!^f4f`P2jv+PuNiB$e)#ZV0Ci*lxi}=9IsF2GQQqzfP^Rp*t;GG0=-IPFp_3R!`yfzN1Gd{F<-O9aoaSw*e3tL zrg+>b2q(_@dnb6y%ts~j{+_4A&L(S;y%Q`6D%XQX-sKfn9P|;>sfSH5^`wJJrBhCS zdJ?{V?Oa&UUvaaU0WjE4AN2Z=@@;al01Rg1*|t6K{oA^r@vm`wz2Z=Df>dYYfQHbU z#D?rID8g~;nssp-Zrq|&vbN6hL5m&z9hN>bl+Qha?e6(B6ZC~Fr8N#wrHelqcCal3 z0TxWYM1_y*Pkssvq@y3GT+GS|m4kVAw3`L>x-{I+uXRx`=bn7PrJ$cX*dNJ3NzrZe z)K++AUg>oK0xfo8N#byhCJvL*?THake~mk%git0KY}f`2?F_CfuNm<0@zY`Idel;< zK{~*Cz4Yk6UG-VJJPDZHaJu6aE?{-O8ei6~q2zHUR=e0UH7}(w6+5-4G1WV9Y}FH? zNnwj*G@Pl)X%UZgGr2`YL&Ir%_kx05Rd(MjYfCke%g`mS;nos{l%%9=ZyjTbPMmYz%QWU!_w9x#vzLv3g)MiL=7aBkgI1OhP5Ht4K-3pb!);=hGb z^MQk(0_K!v&_(wHf z)8D=O45XD0F9y5SzDFA->#)5j%9tu+M^Yi-- z8c{%yak0rbaldr<0c(ql{3s;@oixd|W}e>7;1>G7ZqJnkgFJwL$WYHFMY;N&g+HwV zF!uY)UWw5!UuNy1dkc$;{ZL^cGm!|zlU{*Tq*n}C`VC1bh%D&KpQan<%ltG;ou!(N zCwz7O#zh32hl0r6XO`9Lo&peiW<>>KNCQZQ{h@(0fdP5b4XSh@a_{8`r$(;Mk}?hG z27B@>y1)9v$}2bnF3u$(A_65gT%FM*Zkhi!0(T%Zm57{eavO&#wHZYr-R^@t?05$X z=BCcbl|J2%LKy*XC=|0lE@M7__C*ntm**!m9b%rBYAR-Q26iY*W8*HDA2$f=pPct9 zi$K4OkdX@%ZM5z&c-SM8td)yO{*p1B2%L`b*Y}eBe+w z-2v}~Er5`S8`qbWk@*GGr=ZttfTyRY-x)N;M&R>~g$WUxg!Ly*ekUdC1%RP$Uum^z zccbC=DE*MU1?edyK>f9VG~eOxsxo+4xD*HX{{8dM&wriRstv>$!o^KR-=b0uHkCrt z->pe9NFDpa#Z{zL!BG){+5Q|?_GP#V5iQ$`hoYHbqmj(GD%LN5-oE91eD}^Fui?$- zdYuet6=AkhVoU=O=mY0F=tMf-*|Gd~*64vqn((_0^|GROZl>Ch$+wj0$cD5CJ2bA!ZCv?8K?>NZU^MYpfAph5 zg#bjoL;z6WBaqK35k4r&2v#4kbT>iBr9n18y7dXaq+nQ$-dd&_2FRuEzn>>W*$xTU*MXsi|)iy7V!&T z#+{tDMU+!6pw1V0`H+S=o)xg*R9%@(!Rd!`P6BD7_>ntC@#L@Ty_xkv!o-mzjBK>k z=>@7vi#pJfDh!U$m@i@-esIY~O=7WUrQn+F8~4`qgD} zd%H`$x_zDBWse=_2EpN;GZ&p-dSk`G5OVicloS4Lj4C#?F5xSEdD{hJFx5iL1UMnv z+X?LNtJ9#=r!`qNPYk_*+kJE9p=MBEga*xHI85{)1g!#T<1I=aX)JEHebbN5^DJFC zgr&3DMG^7Luc;ejXkWkUpyg|7Dkg~ViK_%Yg8p+;amH_x^v=#_xk*rYaC+Trtz6vz z%&6j;fTwp>5A4|QDotJuKHnSm8tFB6HX&|k6%e}LtkO#siEbZS`r&0CdIGedkZkj< za2>8QEz@(;*wA>@1;ponZYB84O~NmE<1yM30B5~Z_S$tS4gK0REkV-Y=dQ;jig3if z+}WC`oivlzpdV#NCUn1%e3Q^&ngV!3F}e$)4@x@5#tP7-T(K-9l1<8!pS5@02P750 z@zJ#tgm$t$ejIf%`$Gyp;WA;}M zhs5ET@sNj`guuN8l9F8Hv-%=Dhk+mof30YOSp(8C`~w;iI)gm{zJ zMS2y!@kIzF3Az;_{Fm`;4l;DMp1vm>9Lcl|L4xBd1C(4SH|=zF(No2EGK!ja)k;c& z-`?qra$zMvGmf()4AqS8^(V^5`{cYYAqL{ZTT~4nK(eW4Nq`5F2|!*}-7H1h0Z@@ zhSe?l16pT>VCd+DHos4#)g2nrkTTEuK1tgD3_EP>cm>!1kSl!ousBZ#zv*J^XL_fj zV9x4dI1H;oE+2C)9;iYyH;56N>B+6FLfEj~@7$EIe6P#sAz@w0y=nQybg2^RPH%a=fDK_fAe{dy3x z%R@{m1}3u5o>=_+k$1d!UcdXQ7!NKyU`A;a z(}>r2_6$Kt*u=l6?Yy;2Qj<7W$!k3n0Kg7o9X{F}D~H*Hm{%MQp0Rg+ zTua2WZJ=n9fP7iP-F@Qc$)LM6rh;)Io|E=`?7Op7xfVNWunuwaCw{P=O}EU=8`6Y=ZBkp%Zz^KMFg-6xId zPJSKMg<8x40`Y)GW~=H@bP&#XhPj05RywBkrGe{59(tt`$0b>~od^RsQGTy;z86Wt z2|zRbkgEn7SAOq%8Jic)h!=WTc{dyRNmCy(S~O;FR|+g;=>XlX&t!v5;1jig#+cKW z?vLlkN&uQ#_kDjSb-W%rHVIGELo0=lDG6jbC;LTM4?Mb-g?@DNYF~A-X^?#NJUw2`UPnrkEK-dd+x74|d;;#7}SrkAOQ1Wr*JnkGaBUbkrnr^FcV0}Z=_2>fZ z=pp-kFEkbC9O>zQ1$ASo#Tz=IeFy7-Y*VF){!bMh9ZG0gK{uPYy5~d>Ozp3R@+5$n!u2`pXVK)qz2bjEG3S6F*I{h(r5cgkA-1#A2%r(}>*@Hiyq=hI$=^R-#;NFeG^F!0!784paA5HN@S!TI z6=gL}cLV8sk^K$dZgZ0$IoDi1vje&ZNzefPi+Jg)Qa5hgkj1dBtHu z31_8m^n?;j3Qs4+GntrOrC9sb{)V9sU^mF;Duqh2_48<2G5N)(HV@j!61OB12j^eI z9yCowJGnI8vMJTEg3c6m#ot#EZ{gC{vx%%4Ins=>k>7!TRE4}sOVE>}ewh-+nl4qh zR0776vhVk1N!6N6V;D%;wdRz5W!o)(DwI_H{2IsFx~#WJ@l5mk-!Y!6>)L+}mg|_Glz19DJeTPY)pUwS3Z$0_L50^X7 zJs|Qj#a53Km;p2t*1<-^%6(SW&Vp~IKV7D8D5(4WbIYLCvv+KIZ7>T#`W1$Zs4N zDGL;SW$Rq6s8fQHf&WQ=&H89zVc}ozt0V7CF93HMk!d==+$Un7s%PBU7~YT2M)^}< zI3fm>FSrelj?#e_S-oq9s1`ehsr$nn?=S{|qM6HLEg_c6d`@%_{X-H19sSu2JBSnz z3_VbeT!C{hAixq%U7EIjkTrC6ca!9NhGA10)G!byCb74C z;>fB(wg<~W@D2Y|ZoY*HOK@+bk1Kz!`}gmme?(h!twnoW`MHI(u6C1Ux#DhPgZm)P z{%0+ZR5STDqVERJ0_AjP8D+hz^NkfTEcu8sW5{UtCaZTA&jmwB?Td0L=Cjusw_ETG zgGFV&X7M<#`IPR-va6q>AJP$EWDsxCIKs)03g`!RxU>$ZR>56Vs|CBKv$LpF@oC!J z+mZC!Xy30Oboq@Xn(f{mUG~eg-na3}u)eaaiaeTM;07fRr`~26uzsQf<9#wvNjN)U zl#hcD;m;rSH{RYWsZygqVZk@UbS0?)UD6Qrr*KpCM>zsFR{aY5caRW{4!e9r>NTH_|mRxswdH8Jz=h1<>$w04CL3MOvi#H=nYU=&TXVg&}$b=@iaOW zYq3Xu{@i$p14ewoLen`X1%ddnhEP3Bclukn=T9t+L@1}}AtAW@j(@O(z#Al{MU(d~Uvc~hvNArxfF}vw zPzcn3>$73eRNZ60cD(WDk0~jqkWd0(6VfnrrUD!LD1=8i0aQvdikEtIo|SXfS3u7W z0%F91GJIhI$aoL5mB5`3CMaCED$#VE{>c7qf}h1+oYF5gL_UvctsQK^sw$kFH=G#l z3`+ExqL4d0mIR=td8Z6f$_db%!13Iyr;Tb{$XnqXr@(Q9-3$6kE7%t$Fs11uNgVGz=53FEs;~84Yb<9ywyOB~bNhN!rE-Mf_v6{>kpduxe1ZeUHJme*r z@k2<6?@1C-gqupd{U7Gnon}46LlH90uO^A?AYzvIYme?ok4@ssy9b+AlaLG)sdlM3 zijX9@H5?=y`COdv8BlH?I>+#d`}s?me68vRzRjq=%xs{IE>DP*<>|#};p}}AX+DHF zEKQO^VZGM1wRn}AYK`Z8 z^ppA+59*`;^orX{aJgwMfdpC3Sd>b+&i81K(K#eAAi$o|1>l?<8uj*;dVV2IK@9*S zUO=_JP(Apk$ha3f?CG8ZDZBccFn71&HSOR3u%Av`f4mTk*i6R*5QiApzBYh0BR~NS z>a_1#g)b34@C1Wu4?5ZM=O9N8Zl|R#DlUedY*=swVIRydW=*-00ZGKd#=f1nGhQqe z(+g-P9q7YhQ#5*mLj4&SS(|pQ`+(xBU;~^2kV~rQ`Z?2m;*sJ`%>f?pSm_>#z(_Yk z&n^g}q!(m%fR3QF>RQK;D*4e2J75VI>n4TX?w+0xV5{2xISM!fJz#{ehgSh0fu8#J zr420o04!h+d=>}O94e7 z!UuANu`X=>v`3J0o8x}vvGN5XlG>*>A@eUhT4_Zdlq$r2y|lyB7u*(|fV=+7I;(N&TGRjOPNJ{{mME;6k%t(AALMH zhIS_N@8->$f?u#s z{a3){BL<5`n*tE#;EN-uTGdonPuzoDsNxYILDg7zv=~w0cVM?-pRg zVD_&8=K{O~5~x0A=ODpE{C)d19pwJ&iO(e@R!#3l)ofu(M#h+UfG!5E zL(m7`kxbhJDAl7n#3UDQ?C$D9|H~1HX((KDNJdNh!0#ySH~8{G!QN#IJDjHNSIicO zVIRS=ov$W&{tIUORI`Zq_+TK7DO>fy8~u&nxzp-Qzu5d!xPbvGmSpT7-21Q#H(JcY zpkUClW@T98{x3^vXZn};)2iy*p11mBOQo%Kkh^v*Zy2U?b#i_iUdq< z;=f8+bP0~T+?z$CC?5mJDt4&xv)-CX zWzXpl!u-;49bBbwL;51TK`Eg7l>z+$5cW0{iRX|v0-%LG%ueuIKXM938K3>Y+ny}i zYpMMLE^?HwfRs}&01T3IwMR21Za1;88sPSm4^SMifqgorTfALkWh@m+1rGOkUS~=# zm~2$sv{IpALiwA4c_SUUeI>!~eJKc;CZ@~>fQ`VRv>)*^At7O_03YI6@SuY3vVMZo zw``jOw3~ywHQO!JPtWsZ6;VItI~<*3wH{9ZUZRcnyr5oFRNaNt8`OhDSy=$=dI!Kn zQ*ST6dX}0fPWLFKaexog%-@Pdg*9z0>l5fI5I+%AU2`=POb z*Pt#GWZ%ZT@wdn{q12mOy#hK4puR?6lKsxX$M)?X2JFmc5+Wjo<|DZ5=4Ma?IPtE* zEeB|b>)>98W3IiYrxmp8sVDPfyXQwEAi$-Z(cj_`?3435WoVvU+w63=z|KJ(LBPap z)&Y0N=e!;%w|8)10*xnLTLFx!#WuNI?fNQ{xzVVX0ZNKu4};8{R6veUOC@Le6Rijh z7+1?@87RT`d3vGT zePMMy@U2k~p@tw4m@=9nRee^llhEmnkP+=0lzRn~&e}(Ypj0ma^OcoeXkBl{YXU-W zdUdvL06j?FnoN!9R+$V6C^6cDXy~2agNYP*UiYJ$`QHhkA4&yAF!n5QQhag%I^q3| zTeo>FKS`&Zzg3f+s`&{5*m+nVK&b>h!~_`&75onjMB3a9iE$aW2jqma%f~i#p2CnP zGVKwTaz51Uso7zviqXe5*s=ZGnmmS~@(;YCsw>oNjG{VV8FIF`LUtV(4na*qv3qd9 z{re+fT(|k=Y&|VtxME;aV^zzTbD;vnU={N40Ti9`(oBVVIJ{dA+5z&i%27<*m!m;M z!#`=$IkCj=hAuFDwx=Sqr;Sp+P93TADOzaPc+K>h--|3*j^t2$<$V># zvIz5o8vOk`*TL$B*JN&P&h?(7p-$!;wEf9IXTd3l3AiOLR742M7laGLP~2|Y$*Dje zl!}KIJ)Xz0o~c)4%u3`-vd@J+mlPKb+Fus!)g)Zbk-{EH(`~B~_oQ_(%USr8B{<&f zNxU`;v@ojrQa-T@0ViCeb!nq{@jMKW(h3T#Ach@FGXQACVX2ek_%!I>iA7A)Y#dFc z?-BeCR1biHJJNk$!1{Y=H^m2AOk~~mVhdG9KoG|bc_9w3(|G_?)MjV8cMtV-ee`8A z2EeONKt}cvj+UZnFa}79Died~2bYSEfcEWQLQccF-!p*1m+787EIJl)+yA*8*Wa9% z3U8ut1M2V`u)lUo9Tff_)-hrL@LIoK1oSd`cnk|7Sr4S>q449Y63B)Z$O_nu-9!%| z`iAThK+y&mqWz9Q>KdMy$jL4XQwRd#OMd_jeWM4A(YCH}TNSl5p!y!giee zSPaVoHHWF`Ue+JmcP;6u%l_q(5adJ;QwJoA&_%|`*0k^-;53!0Sc#H_u|*Ox89@mW z3=I~}mLwyCSzJ~4^%~tFidslUQWxcQ-PS8(36J>;SH|GLStcGq{~XnC+`E4t9RbVO z2NktxeB%FjE^(Nv9-$98fnc``Y;TvYIp6PcOPOR z$}%FG)##W9F3;Fhp-d#04W-iNB7R`-O*;|5b0fg6wMwm{3g~{OLKFmCM3+?h5qhLW ze=-At(^OfAhdc&(e(Ynx2TBKkomUl^&k6ahpSgNv#T1m_3;ei#@W^uP5E z7_dxDzwG9tchF9yz&?Oo`M%p+9J&h(xsTwyrh*lNjv!`LlP-wt?d%i-9~%&?_nPzV ze5^8|>#hI+U5PwEUZDWc8z9qIouIG$qvY`CX6Avri%Xfp_zvqZIBnDCVBUWK7vePv z^64=G5AiFQAwLt+OOR`+F^G0DevsgDf!vQ1iPq8h7JLh+*pM%-NS%7G+OBxl87;ig z9BtKI1WK=ta@Y|N!azlE1i>0gS!yh(SmR^3`^3q?Dry)+8qc68DuJ#Bp7evNT`0)S zAoDGR@HP-RL<+4esT=Sp3>lxeVFE*xugW@aY}|_J;kY zv;m&Zu0tI5uvVEZ1uD~3S%@X5k#|yvBL4Cpyn7K3O&XfPfAzB-7F==nilhUYC&t9? z1u!<>z8o`F+zoujyrLTiXu^S_E`PR8|%nZXLw`v$RA9ow$Po+{)u* zYI+aVecJrt>~zFS9)FDyD$@?N1Kqx42|zAowGp_pj{x)|d~Y{Mr}BpzLiYRvtsaBT zL3FbXE6WsKI^r3eYme;bo(<*dlDSkEQ6wWok`+=$e(&q~{yzUcucx~2>%PwO zIF9!^u0|y*sHC~>i?vpp+xp0PxSQ-j549J&?e6c7j()$O_H!HwZMKizIqejbl%zqM zt&P8p_5Us(VFU#bqaL77!;OZ2<=!C&G^nw4h8p*nE3%U64~Ss=(}sivHm2h#MJtIE zsu_&T%>H(>Drld5Mi0w)qaSJQ3j1Y7vqjlhe6pZa?A*C?kaBqP+kCDv-M&n->(Opp zt&nqw9`&>%mV|CAJc-eZ$gv3s2-q3Ni)%RwRZ?;A{ptkt5ytI@NU$=F6hlG9>EoDe zqdVN1Vf&P?FfuXW($XSq#TDlUstf;Qo^AK&%pldIAp~XFiA6<4KY1ITJtGXKQQxtl zF21;%DirhCv5%}9*gn8xMB3QX@df?YhbKv;wcp2Su3f*LK5Ntn@VB)K55}!`Dm0wM z{Gq2eHQ*7pH+nvE+)gj2DWB2?lIZPIUVd0(U!HN$U;d%Ot&P%SPxtQPxyN}J0+5If zH*?Xvfb2F*MR5lF|-ka5oir5-zogz2NkN*=L8Q71Qy|7Prv^QX%w<&`MrpT z&=Cw}QQiH!Cb(Mrp1ve_s9xo2!;pv>%H7d9b+c)G0$2Jsorf2+X1&c5DS;{sS z+-IRIcr=9OI-~oNbMs3#rLQp(*^)kSIlv@zS%@$WZC%~}EAky{r||1hwE4tN$Tym_ zFRCQMpV#!^gT>ww$wv2wxe&c5k!s@QS5Z-ETvD-+FZigzOpHy&$0*uovm$0A{6eE@ z67E|RC0ImyA&2%$wk#GRQ7;AI8_MfR+skrIHcZc)!Ml1tq1ILwRXci6v;p?T5zfMT zN297XpDg_Vp6j~DW@iCMTCQt(72wAGWW_BI9^5=Ge_!~L-FDLANRoba7AiH%=(}^9 z#m?IdUXHX!F7nHnA?~IqR&V;x(tXwK)1u7&*YfAshRq%h#G`e`1}-|709%l(nOQ6% zbW!cLZ4$Mf+SgdQn*-5Y$_ZND-rmXW$4HE8?y7$*y_&EFmq_gCb^JcA5GRkVZjn`L z1~Bav*=m<-CC#0uR{v11OR}S{*hY4BXCk$-_|cO_Iha2Vu}!TU(TQPgz(awY&h0=9 z4sz@N229*6M8~lJ&%-Wqil;*fMcILd7LlvRDQ4fMBF5?c7Wz9Eh;>N#UR&IX$fG_^ zh*zLTZ#8YlP$h(mcHJnin?L<|f! z?1-#ETwHN?B&IdBc$@Flsty&CCnN@5T$%uYZDeZ z3I)&gmEF{reu3QzP)cWrr>OdU`Q($w%@P{2P8poR71zP=23(&Qs0ye!w-;2=CSEUop@`V?k-BU~G zo;xgu?f+oiPScVKF@5x%0m;%$+(!vwkyBhMStm%nrVHu-Seu zHOPbXn!d}y1cU`TGWUB&X>Au^cxR}v=v|+XK8p<9R3X-z zaz~?}Jc%3m@Zm$|?6H!|)2DjasAyJr7;_oT4rad>y=0)C(PDZ_<${Ncx;msJE~-aX z74aFT{VqoA=Gce)tTWZNB**w6k;v7*C8hdiEbPYoNt6(z5=IMYMGcj z`^c&Ckfz{7FRR--Q#JeLnXNaxF4TB@yxjKDbxVh)CrDPV+m*MR=1z07rnuf~sMbpA zcAQCnh_5SrcO;*w`Dkx3kVHA#qyb~_IdkD<;oCY z!-!FIv+}$CFfcNCVsO_&WB8x;E<=$VYk0VWH&<+;uv@9{jn?hI!5mdU zG8Z4pyjCR1*ndGBrzri2@)Xh@HXty(4QyjCG#m9+sLu zO>mB!21iN`=o$vVGGVmTz{Ia|4Yp&S_bodF28gJtOuk&|-C=i#K7jGtIf!=iZ(L7I zR7l~@;>B%-*D`;a{3D2kA}^CY-Ko~hr9&*u{zGQ<(k1-0PPO*LdkbJ6;QQy5Epf{XNx4fgHck)RX=(2kuOF3T?^u7`n{>~Tm%23{|yR4kD#@(~S)YkSIp((OE zxA(SHOlRJNT94N`RaMm!tfXE^DQy^}ZW*jO=pbD+wvX%^{B$ho8xbt6{w5u-v>Q>3 zdZ04WQ8?kRe&qZI9>fq5EJ7W}m%byf1O!(pr5~Gx4z?)H(aPineqsui;_P?J8~5m3a)!F`{lO&Hd z)gQ4J+nCzWwpWE8lwNV&CZK?pGoF-6Bv)YmCgBsUQy(kwl|CupO8TDVEwTYaS(=Mu z;lvZSVES+^A;JCH5-zS?;rB5Szv)e>IerQ{FA{YhCtVr9?jmB^09`X%+?wNWF33U& z$w6Hb)>XivI6Z$awqp>LY!u$UQlQGCC z-4^#e`Q1#>uXoXe4NW|7Dnc>sdafBeg^l#j)E zh&j}5NMzeC-LZCk8g}Yag`$}{Gj9c(Fwkhzx8yk#&*nW4U{c|2Qs`$_K176zWE`-Q zGmna@Vfx7aS`C*Zk@IH!g05RWI#A+bFWcn%oUX36HfrExRTYxtVz>9&SZ=-};uiv$ zYhIf|#5CsnVIsfP#b@9}2uw4^>y~MUtS(-x@xsRD*~g2h^iuL!j}Hl~s@N`a&#A@5 z)rBAQj$b4NwwEYUt%{?t@GERi14kM2=B zhNWSd@i=7H?30z0M3eO3A(}rIwZ|dCvA3KUy^AkkF*uQe^xE<cqe!uS4!$Nl|b1YXt`%dVNzN5ptsrju(c{V|N!kzfI=(lvzy2)YDT^H<4dX`g1Su zM}&MtIh-XL^3z>+4%+w~K`xL)a!YEd2c>{3-tC@5Unm_qohlF&!-Mq)OCg{X!!dw@ zY7~r;H=_QApWlLSr@_JZI25j4F|zAMYVn%>=1Wh)zhu7LNiRKP349;{ipcb-d} zz9tFke(d4RG&7^&KsrNyvEP)@8nc3dX_P&v7`C3-VB(?k+9EFlLD@3w$;>uu8{ zF)E*kzUVUM96EJrF>58Ixq`_a&I;rpkb-YzB)qE7B;^F$EjZCKAS*wbp-*(JIAr2X z_kny6xY|&5H|{RZ)U!0E)n1bFWDaM%f1w>el_I3l6-S%i%Yuw2{0}8_Z3DX|m6-q` z@60qNsK&`hIvOr6d0s>kvgjOIEtd!y@8$1ao+H$n^ z43W;pIk3GR9n&@YY2x{&SZ~M0%Y;XJ?H@vPUsFlHSNb}qiVyaYTx>Ni7I)Uug1w*C zgR!pT$W6**^W!>FirYsY4CJc*txX#uE9f$NL#9b|T7wiXc74yRxz{xhau`?8tq)rz zC|N)E+n0ZIi4*^|u%M2xl^_3V?hB&qb3O~DB&8c&kh&R5m9;{OGA$Vl5aZ$Gqj%mL ze|#RdYloZAjq+9N{Nf-nNf{HN4|#U8_${@rLxh&Y2SHgD+UwHe;L5*`yih}Cpit~9 zyoZrUT5yGk`oZArA171U3!KSUay)y8G6;Q?v~D;T7uOh^do3skt;IS_jZPK(nqR|9 z7buyTAPL}s&)8*aC!%w~p>TKnlT33>dCPkH6uUKiI4s+0T3Ab!fB)_qe0V&y_lM5vIXdza59YQN z#|Bs7;0J>t61{vv`wQ+>_a=2^D4^rljxN}LkaWpV$YSKm5+kPH-Q@}(T->$^B68+k zXCrwd*afktMK!;Se}oLeI9w&7A8kO-d85Nk6GDa)?qkhC%HE@)oql15JjC?VpGUBW zpN#Q#AoY8C%v!g`{d(a#m*Ag~?<;@vzb2IG3wnEQY58w_{P%DD90BR)rQn6CgTj;%L&OQTpCuYyzB6XtCCS`|j@OpgZA;9>y!nbgTf>Zn zVD#yFu07q)Kk2OSd~Akfad&!(IkWZjx_sy%J&#li=GRZL_34q$bAO$cvjsuPMh7%* zgoYRvJD~C06SP}^15A;~qd{QWG9SBrd0Pvq6r{Nn9AziBbt8z&jPJ`6Y3%@>ZsGT} z`rADuJL>D|HlDBiw2@jYdb;rYxAk>p@)~px?ChK!dokmJh!PYL(dzWk)H)Yd2TWks zU-2&*Xy2?T$#Fqxoj+ea=F<6TRi$$55b0U6MA!CEZoalRVKZF5yWchTI0|S{smz(N zNhq9f>5E7R5WdF?P9YvmW-bPF&%sA>Y;0_NWV|kI(OaL$o(=Z444hiEdj5>DmZgK5 z%zK#|{-y+2m|Y3r9CBxZ5JdYyBq7^Azp|eQhxvWSK3`aP^v?)+ojhCXzO!G5_AWUs zErNi*q3U@FD31{8y=rz=cyjkLh4<#Mf_#oXHhor2p2h7uu8UI+WkXeTv2x}^Ut^OkiQO_LE~&zkdV)ysThKPXJ! zW$U)mf=K}EX z@=s6CbvG1u<0qL(NrKY;CkM%;0QY6g5ZZ~we%Hi~6jJGuW{MSG{7?5qoo%TU7R*=`2G1*EQK8)G9rdi{A4!C$!*eSWx~;7 zvaM{ltar?1f>d7r@L{`gw^`9OL?On8NZ4L5KUz z4{ts=GJZ9`xFa=|93flfvQNr52omgrBQ2mWY8s*b7a<|ZU9Rx%{XsO`B1nnSvm(nf zfTI9FTRxt7Ul`{uY~&$%GVFNevwj2~-8YgejlzeOk^Ts>`TOrf0-^=~o@}`hvJey1 z;q>;ibDI2Mfy= z^+WNa8YC*MHqq1pS5{}lIPA~Zs_kbTF)>uXnNdpfYfqDXM)VJ%;6E?gL>Ag4x|}>e z>2I8y+SdOw;c^>kam(Kv_T!wP`3gI+c^*~X1;Z@jFZY7GNkHV&7$9hX(K_blY*;_u z7_PN%PI2+eI~Ki6)*q~30RBs+U~nC?T3Y)tN|$28B|UfXW`@P)D8~D-o{&xD3&LJ z4FsTAXC#0nh%c@L1+`u|tkNYSC`f`{>co!?$U;uWI>jy>+Bj+^Ordb+N{5vg!%$Oi z>Ynu%B=%y4GFi3i9!!KXQeT*fcQ*|`KYwSQ?(PMZuG2-@b;qBa*WpU>1C*ecwR7iA zQ-_d$8<$#57>1IGK*kf{p%6kSmL3;7AwAT@p1}Cv>v>3>szteLx*jHFn#F>Je#1Km zY#0D|NtEx0DG`SyOrzR~TDSj{mrDVet)TsYps>^pBn4MktWWg^tIpFqzs!S z?1(tw@#P?^CCM!SsYpNF-DeT#w42uqZl&J)b{|U0nMo9X7{tPj@fEgt+d6L{fCV-M z7tT|O<*8SWSzxMpRrWFey zqAzlMUM-r>_Cdl%q~Zj3gF$es;dv^ly0G!On9j@6Lq8T??onQ&^oYsdIv?@9>`l7U z)g2TR*8N|p*$eD?T4BLw?HrH0Ji}(*2{aIQX{u7`t(_8vI zG5+TjW7{7O>PJZeUeb^&YyUd&wJS5})~#4X=${^_rXVwz$cf zwlK@py5k9Fn-!n4{4@d1L+pShR<09+>;m|vJPft%9UU4E-QTtpbI{Ly>Z-VLq24iI z{Q5rc73ngXM}xD*J3bd;!O?Yqj9-)CWfZJ<#?_X;}RF5B*w+`MZq z;RYh2bCugMfHYKu;f4u^%j3ZlyH>d3B83hRHGF0RQ1FLN|H8}+z|1jsPo9(cJSieB z9wj74Y_Gu&Wwuel@#xg!K~AmKtV@kt9vNA^!e0^J&T7?$jU`ZiT3QVnP`8`QQ28%H zp5}^v6)!Ip>flb_AC?1qfk&}fxC0V|S|E2nNukyP;(mBIE7Mrg#P?fB-!)(16rzBJ zh~owPy0*!o#>kCEhl*?H#A>%oRWaK-5o%-cFAZ`rf|QJ-wFt<*897##eit!p4$lIu zZcg3jFbuDR{z})NOt;|*gu3-AUWEYi>!}r%-CBTRxk;aGRLm7RJZYQ8FxpD2Aocn; z7po}`F$N)X81y66sWtJwagBw9FroAw(urv&_NKMO6aqTq8d$x6;5iWM^>eew4o_NI zDlg6ZQNFwOGbQx1dOFj3uXNFzwku+D_8)$Cl*1~j&&&5IACw%(@0P<*qGJ^T@&JIx z_{U&k-w#-LX#Xfd3HYvGSx&PMqpZ3$f1l%G$OF+_>v`4htB#EC+ZCjGg&$EI<>M90 zT(DG#P+>CkZA38Ii5StLlQ(-)WXQ#~vpQATX0f#!_Jm-c(ZhL*a{E0LR8+!JQU+#O zqjWWCXF=SR(o5D(^PT6o?ZXdb&3-}8U!I}EA;|dKEn$v?%@OTGKLv~Fj&n3pu?K9# z7&~YuyzZ&}O3MF5wd=FE!zG@k{Da4L{L7*>3Nd_HC${cvwOF;e?k<1e$Uy9Ee?IN| z-0^kv+kXoF`Rqq!SHQy8<_v(0P#lJZhZD8kr9DZAkogj5F(enq`9eNU&3!s-C&^JM zrKH4$Wg1aUPK{8}J%GduspcH$Lo^Ya3HT>^+b;KOK~op&j&p(Sku@0wi$Y{2AQN5; z*)1^;n&hDwM_3!{<05u5nX45yYlSVhqwbw9)vLLX!yEFonq|k zMdTQ1i&BG06Er+gn8$Y!+HV&Toj7^`4|Nx&5;C6rL#v%;w}U1raD@nA`#X%Fz?+-i zg)D5ZefZigeo5~=fQQs)JR!29zx$iU=a>Aji4;B;(~4{qRs&$O$nt8Iu+a|>@q z=E}CJZX{a#9Da86!<)mQDGE>0?pwbE>G-LFTk?wR~(xRVAMBLzyZw@KlWz}hcfkw_dc`{b} zfi~XIXpICrqVoQRNnmgH?tp9?vHY|=x>#~(eXVD0%UG2HuN083a(Dq>^exp5GIi`Q z7Zn%JgUR>Swyc#=1l$t!jSvVP8@wD4Q0#cYY|uyj_2#xwh2$wsodE@OVK?+_e7(r=7*64MuDjX{}eL6by_?s3|=gJWLM?(R zkZ|-{MLuwZ(xuei5tyZM?Z52d)nH-k?KGeBmDrw0OHzLv*4BUUTSBRclqPbY{1_A6 ze2JA!vYO(pxTrD<1af6G=9BF0o!~RJh86Gxq*NdG<%qH%Z7WO_6pKc+V*7O?(zw8TKc`At@3G9V?$mQv#q zT}L&$s7L~L`BmtZ>Q=VId>yyk)7o#d@bE|m-bUyFJK-&}&;-Bkf?cI~_P&S@C^d-x zXXL%7=`$MnOi};P{BecDXLS{@(!%nKO>pq@I>w=|98^D1Cdo!kb%>e^9#HfqI~yA$ zauT9RM0lYg0qT0^WKfxV~Z+D_y)iYdpAKXTA z@$FfI)Hi+i?buP5(xfz}J?zj@wJt0G5>%wKDbd?@Ce^vhc6U(!_sr8`l2Qi?cN~*T z2O^vNca4n6s?PH2F027~dm*={=A^~IfoB~RShac$+#I3cgiO!B{@Je97xpyO98l_6 zFMIh>VLpAFqM3luKFfuZCCkM9hZn7`A>V!3QM!j}1vNG=|?=FN$QxFrNXmOw}M34b$=5O;r#b*-65nM0Ws_(cxLh0hs3 zr=Xx1&Gg9jS*;;a);xYpOs0=;ISjOvv8jN@nKYR_yx{sGs9i>q7i)~1>&OAK?`QM%AHfY?%OkNQrI#|GaW9Q$@z+sRU zrzueJDE6P&|`pn!42H_MFzs=by5# z6uZ`;;qWM}Pl7*N&#~+~D>8iaGQ*|6))yzFUot2BI}xPJQFr_26e&s9Ti)2>1Vx_O zxnmdk|ME%eMF>?23P3Ttz$6(SmH4`+bh&E9vdz%M&-u)5e^0v;)Pk9rs#dBKI>>jJ_Ar6pr%~8SyCI zFyRWh3lN!#i%rx5s5jd8dx_!$>zN?dAYS;Z5c*sHqPv}$si~k}*ovR>tl!hTXctJ? zwUT;XKgS2dOeGpd$i_kUNU+r-y0!_~^KLEwa7Sm%DB$KKL^+$^;ul&3x{hZ zLZ~d#&fdOI)ansJC8M_WrsE3%3eoe#jP*mQ$m8`X zrtWYbz$ubfvEb%$sInr|`bde?t3rsH&n0t212^yKlu61&zt6MgOah6`nY}bZ@s;BUnvTI- z^VB~qQ7|@qr@5h0VHAGOV(Eo1t>M)sKI#1-SdLzWXaTFf7yN2R&YhcgS=sE}Wl-3g zyEHpMO9wSjG7F{u9UM^**(VR`~H}VPQV+gV$SW9 zBs(u%60Qj0X4qUi+~7M(->JMTCVpm%=h=vfW_mGir{a+@uHS6Y=Vq6N_bkRgIY1}J z#jxXmrQ&OOXe;2edI>%8LPig_$Q$h@TZWp~51d~T(-0sO#mx;I0&Mu=!MpQer4wM_ zb+j|==+GxccF|g;2=Y-sy&CerlVIqGcJS-WOdMW`m>GC66#ahM?)K~^0T2<5wLAn} zgMP;qa<_Qu5fn276vts@ji>w;Wp_mJLkdnp0jT`F@1WKTSh8Cm{DQ7&ave@Aw-;6= z<~pKf;3K6E&Eqv6?U1I7m&Rt)nAVQ6%J+-79>gAY9M+Ui#e6M_zq&p(4f>p_a*_ zjG5f+VxOa2fU#946sYrmfQ#Y=Yw&Uv0ohjS7`8`5M~AcI-D)%lP3xr2V$Zy2eWd)I zkE3I@bQQ3kgKu4F{$LAd^4+_Y`quTDT=3&Ukw$`{&csR=7(xUK2M5QsZ*5++uT!>8 zI>Y+}kxj9DU**H3k7&&vUlAZDCvWYbD^Gx|V+W!ATK+j;@hMnDSlHnJv#QY3i`3{= z-qoi$A^n3#Em%cs0b!ah2q`-2F%kSN-A0|J2{Y846mzQZtC`veE3>c+=B5O?W3|lv ziQI<_1+A|p9330%}YE2i>yB6VyEKf=A|etK_Z z?j*^S(C+08)VDrKW}X{lx@2hcIkQI_l{@YIIXx&`INm$0R7jfrZi(k z=%;ldb%jNOP6%kNW)cJq1gdqu42{W2M`Xra(R4s1m^S9}ysS&>%kA?Q z8WNr^MAO!?hMtQN3CrJO!>Xcu#lU=#(?E-V+3wfI)!TVvd)R;d4kI^>mWiAC` zz7`assHK&j%rbGd_s_HP6~@S!)1DTQo&91p;B{?WnJ50|vtLZ!-n5vhD)o6u8pFqX zIz@PnTvm+==rTk*)(GS>p0ISkgx_%i8WtA}+lVdM4v6%+Y4|=znGY<%S+tytt8a|V zR6avMyNE53#Ck?bN=j^k6T@sSl;1(_Ptm8x-6h^^{y6c&*kO)UT0a)CGp2(fFsnoW znD+Sl&T-gP6(NTl2rP*el#(jZ-X%>hbdZcj=vsWdo92M9h=_BoeP*U}p|*96K>p6U z{LQe!0=cdwqPWTJrqF+R5(=-3Zl#j91WwH9Q4X_M#jWmQ0IkXa3pujuWuag&Wh(qR z?XzowTvdn1M+ut%8lxZ4p`;5D)wF{{uPU5OVRaQQ&9{qN9PmzPQ zvAKy`uFQaAAC_IZADsBv5FzUOzU2s6+8VPtQ0Su4w=hnj`5T!2OPbK3>yauBUHqTL zHi2X2vNHy0G$h~#qkBAizopCG*|_MQJ|SQ5L==IMztry=d5#?Ct>|50rjKALGTXNI z_S+KMiMtVb;s+@Bd~57$ETG&VCX~!S1(L+54g8|w&8^mLjv<@AZ$}6SsqgZ{)HiaD zcJ?f;<^;!H5d2qk0k5wrtIq`-^22fa$MxsLBFwc8;0+Du9n45 z(r8=?P#kWcpx{mpSDldd8w+Ne*dk{+U@&evMr>}-#wf})r2s#wDP?HowJ_>FA z>aSmH)LQ0|HI|pkJVKAdv;Y~con(+tDtQGH@;3MiObwYnfSF7l{ie)>XvEIWAcViW zjO`2*G#I>yrbC9!1v%_ymVY7djQLGBGyRCGTPE_P|u58=`1i zBluMVi%UCkhXL)Cl$DKm>uz!QI}DCTA?)XnX}XLJummZGO4~*x!kSZXUxx^Qki*^@ zB(~es%8drxV0fb|^eBbC|9aUiX@_Q32T^}h^5B5jvV<%BNtzXc0tw?2jbSSjd>_a8 zHk>tgHhiV!zw}^?cTU*Gc_do@Kw$2@H(b=db=CSpHr^3#f?LDEK^rT2f1>u#wY^i= z`&IeL*6_N|s>Gl&$zpbT_p67(CP$H^a)X?{DxdG1Zh@ZQ73CYciak?XEbEqA1`8Bf zRm<5o^ElLLSsUi|S{FLy?rZuCrKzyE60y`AX~n**4M3{c)K;fIL<^C77Ty{X`*icIa+W~X4mM#aaquufJl>W+=zk$Yz#L` zVuXS{*b1K?y;3AUmlzlrD7uz9)eBMUO;VXxra$OyI3UzvaaXx0Qq!%CO(lb(mPZ3n z-Ic;>Txb#en(GY~>WljpU4s z;x`ihC?N#Si))oPXL}c)!G|o_ZHpUR0|~6aEPjPnkSu2?b&fR1>CQsF%?-TFt1bPEAWc zIf_64JIip#)_f9G(Nf+gWj2Z>(O=}Hztd`bJ~Zk472raA>rLLQOYvBl@cLsA@U_zU z_u-*WvkMGQ%sQ(TMU&bLU%;q+GwoX<9lvghju>!)?5guU;fE|NEXCmXdNhEdyqT{tLfYF%_|#=Z6@VXK&Y+m>Tx|0DDh+1R~4D1$A5ok znBMN!LTJ)y8hq#}|AZ;OQdCjq6HMr+dhVe7%c*sJLh{`>6Pfd?IENh+P4T!>6UN2= z=`vM&Zynm+m`k-`7P-`9a(>IvBbViAhgHqE!;)oX`+iwgCXpTKqk?`H9-epl^>HfM zQRE(f!C8Oz5~WftimTsP&#B?%BbHzmvDe)=;wGAu!x{ zx71K~=VIDe(A=D)tpHSub8kK&y7&!xIui2Xu{-|58VL605w3ag zAZftbP>`<02^*OSOCaGn$Nb4!E`Z zMBljh<)i`vr@Tl>e$NfbR9x_@0956k)>pH3%lZI9rt|Rc7CUYRlSM#-MZm|v^>54) z%SK|!zd?A9adVr&@m`G+&`O*Zz>DAMe=8t2J+V0`J<5m()9eiTcsnWf6)`uk4Zwuj z-qm$8GT$)02mWtjA2?=q;&mWQnJ~=h!j>nS%Qsr*H(mQf1N_y_Qy*o4#tM}<_&DLj zj7{O`IRkF1|EC}-8ewpeM!B~Z?mds!e+Y3GpxM?S6$H`32%D)tN5(X>t+vSk4?st$ zwD{lUP?4%us1^~rMBO?$_6n0auBchgv^5^5YXoTv{f1?9L+F-HM4A295IN-?B79t>(c2xLt# zqVeownaN3SN`PKAS$}AmnHA2vU1I~0Pouu2dhddcsHkWtOBim51Dh{wjt6n#F0^)_ zn;V{&xi93A#4PhUmu-05-igOXVAgEg3d^+{G_369f14tVIRxo6iYWv-McRD${Y}~b zWxU>_qpGa`HQRyFc*^BL(y2H*2ibcU6a#Lax_acvqm1@Fx{t_W>OTityHkH<*muqK zvJB1n(f+Bzk(D^XcyZ?5GvnV=>B@aqhP zt-w{<5GXBRQ?9^el$^{Q2|R<{qf%w+!{x_7!TMB7>Oe zxr7BWINWwzEGdOQ@U7>UIz?h1B%r|i4o}Q$%K9Pm#)@i^#$0Q5{cb|!bH|nxeZ3CA z%}ifBRL-uLsY{lnmb6%b&2VQI4@2jut?A>>vwnygxYpr?o;hCe3J{&QKztkPCq20?U?AjQK|9cvf^5&>Qu5*R|YO%h%z%;1c(YE8m6aj)2$ zftlGu{Aj^zS5n+1mV7zT0UzlupsJ$6@#cZd zaOZB^J=6kMLLti~+%Zt*m41D!(lw3%mKGpRnJZqaG4dWrB#W2sA6lYJ+iZO6{?O=a zk9qBj<%2>L#1_7BO8Hh$MDT{nv3-JOXkl@&2{H_Vvy`=~*8cJsD7Th3aIN)v38?}W z&1vYWWAWA0Olw7FC1&6G>`zFoJuG%LrCtL36vb$UTaGI89gUJJ)2-lSWanNw?UWS1 zYZV4dVt-T}dBQlcUKHNZSav1!{=|+%TfMA9LA)?s8y|cMWe^d@`@vB|>a(ukx42(F zi5pM%Iwz%J>Np7p``sTJk#w9qGmLwV`;h|m10S7Yk#hL$FTx27J=T-CrBwUx-AQZ@ z1M?gyh(rWH+CaK=f~ThajvmM@p~l025jXSCu^$%vyu78#i*+DP`Y4Jq2(=Nt&B416 z77IvAuLj^z@pek@W3X zSF$y0Ik{tfCloefWG%xLbbT0|smfFyHzz=|JSf?C%+`#Gzm8t!^~-od-WJ~;%}Jro z5az=&o#A>gYB9=_LVZMA=eMf)Cw8hY5&2m=2CAu7*q7rj|EM{8ZDjAfF6n7_0nW!z zQp-(yo}jzRNO6#^!s+Ng9ft>1D-8luSFN*!zB^YWkPJttxU^agZeAnJLpbBrgx9ik z-+w6#O@-gOa*1a&pwZN;hnPwvtrl*K@q6xp&g%6x{lbi$&SCvNm$5g|St-+!`#`EM zW<_aI{e6cp?51p*q|)OKSB5JTlSGTJW^-a#7+KXr&%L*|MV8$G|?$f=+$?j|# za-f7-%SoSqrbyyIX_o&hYGfeluV07{er?tm)*z@~NR%7?O-I-goi^kHOD3lx>Dt=b z;?`5fV9#UMnuasOLMMF#!&R2al{$KlkL2%iw3myYX%X&cZEfx3grW%0J=e75u7i^N zzP3fAK(B5BB5_HBzkd(MR*^D|hpK2Mi^160Ws-6Sv4~Ni=EBn_cJjFS?h!ols}@hT zX!wbjwV}?FBZQ_NsR~2?LZ+W^NJMnFlEAH@iwyi9j|e>p0FBn*TU?$xiktjWI;7pf zAfDc$SFoBnlAqi+s9&yv@oRT#zMU-BknfAfkN3gqV2WI#V}mo11E-@f_zhp0+TnAj zCSE%EDW=#SQDg8II#x$3@NBP5oJAN#?0u(utO5ee3F8^TtfLQ-az!RQcYF2HbaZt5 z0rQ;clgNgxXgR!R+yV0ZqZuN$eA>$15Z06YEJ=2r#D+SVMw|bBe;9p+36ry=L6h5g zl85c*>PV=cWHQSrd((tUJZ}@rm}h;t`^jZ~{{`B=D*h!mGLYs<8c|H= zYq9-Be_F6Oe0{UW`b{1E=olk1^M8;1t*3LYxMBaM|VDf zSz1Zx6S2h1z!=s_3j=~FjYwi!G#|ttr=z3eVbkKBG?XZg0rYmD$uK7Wdy;$T3jYwo zS&`4zI@Pj7WW0nz)v6QH3H*H5j)w>Uh`U=D{t)hPG*KwlPN<}wh%$n$x^-j<0#%h% zh_>=^cre6)K8$r<&>T~(=cAh^?)MXRZz5X`E(=D8>qkz>t`y&aa}N@U)_FAX?vF|k z@qvx>az^G9B!rC^lTmU~QYhYd1T`h@zvt+7;zSc-n83{cffN&1RtPw(o7*U$_4riX zB#+yqYI;iN6Ez@dtJ-6K&|@dxxH0)_KY7B{`|7b&l$0^6X1w;;`BxP11zy^?k-}Ue z>cV4K?{i*+E`o^eZ@mAO9jyD_^gE{GT{l=!RvZ3Yf)J;aHqW!{4%o1pL63);{txTl z9t~e^?A^$~$cpVJb?Q0Loi{_(&@#W=ayLgd3z8H(Mb4KiA|fI_Fi*7l*WrW5ryPLh zL#6BG>Ai2nJ^49$^?Sex?fUl0&e~6vu$lw3iieIv`ro}G)n0R5+-GI_Q#O_~tOrOk zI#l*}^R@MwAp_Cr^JRNE6-0Ie>mzLa@l>U-D9D->T8pOf69N?BfwHtTD@J?+6%m?% zG+AlS>fd;vr7_Dm)-0Tyk$88kI29QK&!>pXhW!1;y)8y-^$em-+c(^+Y&p(Iq2Ixb zgsYE~nVFgJFWm?y0J8qJ%EbpDEH8{e$`O|wi6LaOHbGgWp{1vtx zCDl>%$YarZB3YwOqhuC3@H;8)_y&qUf<<#UV4TriwasVDBfqEk&x>Xy1PCoE zqav|1|Yq>cOS2TD^rR@>cGgKM+%oZr(sh(bvQY{1IQoG6@rfkYH5YX)8{-zgZ; ztC!t=UAK9u;q+6?eWi0mEa(KpuIZ`*ycqPYWsUHs@wT2HYoY!1`BWt<0z?K)0uC9j z_6(f>_FB6B6S1}(uV0%tFb8r27EJ-aK1gr{nQL`~L}+~x@4XuQM=8M9%Z4Qir$o!k z3Rg|+ZE$kasHf+bFuqjuE!pBA9CFfU}k&sLA*yfTxzy>OcGHoyM^3|5g&6?0Ir>ugQ6c@ii} z<373erZJqN*;u9N(3|tCkJ$f-_c4l)dszvQT)SDh@6y>x7Nw;HC8e46^8>%uR+kLi z*6)oyZ*UehstZtxJ|*TjGtQ~m5%c>_$8^GxVtE1WJ;K<5WW#)Q?BC}{vFvIB2mLyy zA6DDSwpM%2e%OZgO+0%EzT5eW>w1*LAXhT*oc+>9+4aOP%|3j)66AEG_$j_vFZ_eb zqVCGy>N?L&>$E}+G3Js=In}54DLxPSVdqFGZGQp%j`I~0YEmnY(o2=ft!46y%dN|K zF;I`6`i#K6S6)O?q*7$e?p`yxgmE4t5|Zy&(~GA~qF#|Dl;+auRV!WUh{aVg&=O?Q z9?S3JK~UzH>K$dDyra*Paacaov?hJtN#o@t=1W%2brz^kUQi@SN!~@2>FP5Oqv6~Z zTT*s+MOb^$JmMisYd8bNQ^x$o{bV`3QNjYKZX2 zHy;6YF@@$E(+J%|bYl~->?ca)F@jva1OsQNgZ};dJ|0fa)__;Ebf#;6XK0PA{zIo9 zdK_sT@jUU=Qt{1y<`x99*~`WrDY;pRDo`5y*uFg0n$`S;Q(y@8&bjtpXkNNlcBe{LR@3ftF6K8>R)zSv`vG zy+@#QDVTG`)yYRh2BN`&f3rwfCMJ#?rZUV0y_T+rBx$4tVvS9;;(Q73|;d*?K9X4rNB*n z(OU;|2JaH67u+xxrbA}^4t^-=d3{+}P)3Fx5xlYVLudJ#82`MC`1C|PAf_y?R8qtu zC#u=3NcqYIS{D`uc82zFPJyKSx-bWAL6%*0?$`9hG6WM1DfoU0jV}CQeDb*KcrugB z&ry<=95Q#GDxPMY-2KvmJdT*C&kim12QfU?*S3NbxS2a)(d*T-5i(WP1;5mK{nB-w zUvpntx5TeRJn1rNOuT!)by0vx@JyE(pTp{|f2*JM0v^vuZd7fuNdHy-e5vyC$(VN{ z+pYV}UKTM7$DF2NmY6+tGbtA0Y%ZG6!MbzQG~9B$@w%>6vi9p6`(8TtIQ@T#NaL)T zhOI46sbz_>pq%=UBpu!q3T8YPY!hJu@%h=W2*}0$ z#^Q}ftt=^eh!Sr2w>AS4&LbDw7hDB4AH{jz-f z&ugz_cIQ6Pv=gBleneJ4`|E9lZw2Vmsp{LX98pujXr9HIjfhZ--}JEuAy%yk_d|I z+8L?HiFIs1Zxn}%m!B&*HsItM(nb;?F)(epAA<}n^~*y{vs`oPcs5m zTAE^O9I+0puYpOGSjmQX9Jyed>hnGH^^W%pSe>6istERd1L~L92zLMq#9s&%V%_17 zH#r&_8j`ZI;&C>1&YD2j0%4`4)=f&Z(mF1knQDHxEHmBi?M9%8_xElgtbb<3ozn<< zwi|I8eZQNwVS906R#ukqC)GL4?;*6>4@1F+j+GQ;ryMram)MSUX|Z4?Z24JUDws(_ zQ<4kQ%1#~z{Ub+0JU<=DfAD|>SrzAFc3z+af(WQWsZ3BxQ&Y303ta$#3ZhZJGZz9` z$t^!UD4+uZ7{;yWGE?ww78k3PMy)@o7~a(aGzGZ{cgTPjH)Qs;h_o&@A@LX8@;qDvZ~3 zb-eP;{?oh>E$%DIZKCtsqMSB9+{rX8k`<&^a*h?iqs>or*qEw>P7CkB&lxxOC(8DIe-=j^rz4jb!9)&W0D2t!qw&6|1W` zs9oMR$Q=}S?p0SC_e*!zq1$mjKi7kH_Mhf)SXJCu4v>vkiGJ!`({=gUxJuL~n&?a$ z@sdJV-MpH+UXt5r^gS))XJqDZDACc9G8D?|4S&oL`}~nt&a*R6Q7edO)(Wl|r7;;6 z4nH!Fz#D(|u?Vzg2)az}9Q4DTPbf4WtA51M@?#b~g5G*38=CG6|VXqiK)Xyjb+ z!N%4wXX>0g8rWEpE@oZAM@y{lj>{@=fzuFGb}wAwR}tupbQK=3n6EGe$NzsmSLt{+ z;64K4MU?z=L@GeTtP~MG3ISG%aEdU-2e4N=S}tEgck9l=fs_^)i-a(;A>#=snUcAv ztZcji&nj~7#!%jg07<0D!5ip}YYfiX=)W&O$dwJ#+jkV+V6-*3b1OSL0pU__5}u*T zMMd1xIKtI4FM7vp4Yx;f`XJ^35d^dn;i6iC?|aB#-Z^>lv?|GD1x{U6739Pjbo&;1m? z-*uhm_xqWiApX95{n{q{Gp8@?6|TJ0%O~nj5{cY6R6~P_B{;D>4>C0@)GROGk-Jvd z9X}JE|G{a+hNZCN;SoDVU`YO$oxcPzsW8vpMj(0Gd$d{CJH9>l!sX9xtR=yCVY<@Q z2nz6ZT6_6k{H-v>)BF$JaQv|VGjVqkLUxQ3uYg213s>i?c40lbcP*QC43kd_9u^3r zF!>re&130$RhNc~HhOvsLIOzIKoYlkAUr-4^$TCEiYZ?d5`mM*8!V8wN`Pz;eGaD# zufiozcGKkGckhRxZ+c%N_hIqook;}mEJ8P!fy+F)&keIhYQ(3Bz<&Eyq%}kUe|`EV ziOwk>Dek})LhdKe%$-02V!38l%?FfgrIkoU@UEi~@>dqaOoh|t7HtfdxZ>1x^Q2x&4y6WUcH*RDpM&kkH z!M>!4PUV7M7wSBv@cUAMrw5-CK5Y)wLAleg@zyOos6^)9-xF7cdb_*H`6=LfM3_Lj z^=B(-&c$Z>gNObeBE>hMg(F+0xP8y|qxxBfs0oMRbw~2-2w`@kR;o-(N>*!9bLo^m z!OG(?TJIeDzjOICv1A!sme$%8^NK~!TKYz!{oKCRi?orEOfss#f5hS7JG*xiYM zn~Glw$b7@T;2_h->$?!3*)2PuC?YAzNF=g+kS6t_*VeNY&21wBz(|&JPd)qa*4+#J z+8HN70i2ZRhipcOOi}6~DakYSGYV!5JQIz4O2oqt_>!im^FxHZaPos^1+|!_Y44Jxa1!XVoV6Zvuh1m zOW?G)*SV6kPACtozQ1{lM3pDwJeAIbS{as9h;$o2d|=~lC&o(RZ?Ct*zr^CrTwxZ2 zcdX~(Q4XRU7y#?z!C4%wLau7hU^9k0l(MJ`U`;czt37#ywh9KqJ26p3`d?dEy>1Hf zDNcN%B1$T{s7iMc!ie|e{!YC9_ujUdULJ-r%nbo1c$R6M+VBlh3|vlmH3^AEfmsC| z^f{V{?1Xy*;kCrrn1$bp@ca@{PWtH9hMM^)Y&@Wauo0UXR8oFC< z?l!+&aM%U??}YB2@6wrcB{f8ou#z8*XmaBQ!nCmPMFS9W$enk{XKTWZi$H+OXBGXu zvJM)jFN_($Cos$b>S9(-)DBcOFrDesE;`)r@OOwt&iC z{m#L+oDCQ+O9@ibGG1s}ZLg7!V)$-#JR>da^+2r>SvSqt;~V>g0-G!| zx?JSss{VPuplnyo5Y0I*tSLgms?k`B9Otm@^N}3%?sb*A%-4oL9c^0hji}R?P*5=C zi)Ou6Gt~S6Mhhp9fX%rfy?7A~pv6kt=XoB=1iUqsKO7Ez8+)F7$w)kjBB}d5i$rL} zVYYYH;f2?yEWWj+?O?CdJUAQr+Kj)Xt`hiM7Ar-aP?<^APo0PFi!VK*^MsX&ztr7& zINl=IN7XDB&mW6;#?7CfLV!XF=XPHPuF3MaSO64S?ntGQCI#QmSa)L?f2BtyGQ|Bz zFyi=Q-LN2#-n|U3cJ9f0`%0E59bLx!@7=HgF`4v?jXC8D%z&D+566NdLXNlx>c(gZ z437RxApRy2Efn@E_e zL!TjqUWcfZDSyAoNO&NSK{_)J|HLbYzff149RE$$m>FomSTIO)^jo@;*IUUil6)?E z`tDwX7=qCB66QFP{DgDSxTA?7lpt|qPWElb?&aP4wV!Zho>Pm;8sDTmHeFp))4!us zD@#O1vBaM+`9MPhpE)hK!GU6E#YL87XgOt{e4F3S%BYV@(uTrU>ugJKrI=XF5YiPlZ>;i2PoG1g2TA0B72fG`d5*HNPC9w?(48&t zt?wXGMhkmq*Q`-1g*G*|=qd;)j+T{`u`2IyY$JvxsJqZ@@%brRF^i{Kp)yS%lVp?l z)L=`vSVth2bhx^Z*ctZ6j9r1`)MR85MjdMW`wVEkcf0cJNmbi!9JWvnZXUE&d}X&* zMwRM%&nC5aXJ812%lJFjuYS?onW8Bz>mpa=b$fjFX;W-cv`)DAxFLU{;6g1s5l9Pu zi{jrii<-j(`p&TXkgD6G<(E{+Pm@?4v*wH&{5ZC7jM1FDAi}GG+oS1nVW7$5q$4#> z63WG`PO~(z4sO-Q+UiVGy54h2gc{x>TkE$biSwux4Ccd-N=z9!ZI;U|OP|Vqb?X*Q zVw3}H_^kDC!lZngq80f{xXA8Sk4)BJb&FiM4N#3 z1xXza%SzZIhP?)r*Z~G5ye@tA>{;+&C1##LA08E708I=?bDqQ!nVcJLsnh^hALe~TSAEwg?lF#=@T}kl z+cvDw*R<)#Y>ds-qqg-YiCY;0oHt`orV>u&Lk{nSiBx-&m$#G&!V04hYxn&hxVBh0 zcWG1lZjF2f?lLts#iyXK2N!2@y_~dk(%aLh(JyX$v71x|XWUS;|Vm@nC;r!Xmnjg-#G3)v>3`hz|s~?&g|MpF5P~r~V zL9d1D`;_dIpIH(W^$+J^u;L0>XO4wk?nM0>)WA3X@qLp3J5(cBkH7LVu5;a_&#A=f3}@v}vXZq!OmCV2~jvb)~M64|?gwu3PPIG#Ccc-*zDfjP6xhS=M*GP$!dc0^`B>mG2zney@&#(N|n_5~_ zgr^ngy)|)^f049Y%fEm=aRR*qMJ*sE*8TYAU%7y@qz*ANAxCu$BBx33$RBB)eaT>b z{yck8QIYVa1|?2udw-m#(oUaPF%l+J)Lj?!)5||!oZiTGk`XX1(4!VYeC2i)P0fm+ zs>3k+NM9Xb00Cz#Ao_eGO96z# zV|CDtyox%dD``^RC|{ox*NcXuqd0cX{a?srb~D^qq%v;-szm_FX-fxssmE5OId=dz zvYFk&sE}{iR+oYHL`?`W;!;!Xulbp0xiY_F4Cg3I87YzB+yTus;SN5ot(}Fv-yS*_ z%N7V^4z^{;>FPf*(tq|La#aDZnyvx=T{|H{B!nN32<2VCgiC&?>K>9=fEGNWyXs|C z&Vsc#6k2b((PJ=0)NGpF+T52>)=oo+)|38Xd}QY0io#0<6U4hp zLKjH7HnW=wj1gLY$5fGDaA| z5OAWYZc1od9fvDp%p{-Bloe%~6|&>o5KZo~=Bi*rD<|+&cGrbd59D{^`qKcAVQ6R= z2Qk5;TYqSAdjzMYaos`)ql1Uj!40>w4_p-FZ0}4`kO|(Hvs^@e^aMW7gwn_0U&nJu zQ-chCB6YzvhPQUA>ujMh@H_oCRj2mv0+TLi?1U!;X%DIZl_6z_zkBz<7lBF+AVIt3 zT{D93TcfF&{n4(fZai~hZ}afs0}@eN8xF{PVfe%-Y2CEw^Ep_wZ*MJ9vkjm%L|;=A z-3=9gqGDoloWH>>2;ohvU_Hieq!8#f1m$GJ1)a`IjDARDb^8Ao7-IZP6F3JR1cHha z7D(15vW%PRlwniSbRL6nYaHiah*nk;{s&gO`n-T)yKSyHIb0Frd3PJ73&e5!{=%i= zL5;k3C%#qUNhJc;NP_)N6kUoSs{1TImRJ!HX>9UvUL;ZZPfQE3Z*eE1%;oBb2S`B| zIh(70dIZ`mQs^(4ea8R@JrVm0a{$2_5y9?}zw4nLMv_L{-Me;+J_Y;%bG)^nv7eASrKr*?n#I0YO0;`Bu^+ zyzY=|jeP!0ybZX}=###3#%LMLG|^{%eYI~}LC-cb7&6aEq!ekPkTRp+UX>=`VzKsr z|Lw<19*O@-ukJsR=hpv#KQ%%}0>x7-@Qie`x9IvcQ-KxI{!_U~xtT-`Im_L9BPQcC zgl&ZY3v=Zx8%b!{*y$_GcBqGEY~gnp|Mg4KWFCoClmKEfCz&kSM}dQzuo%7P6tB=+ z{D;TJu77+#ICM9^>#NN|TYo!7rtRG07s6KkGD-I{9MCo(5ioN*=NdesdH%gBQ&ES1 z2Fd=dJJQ^IS2}{rV~m2R8MvF2t<%qXyH~uS)f{!;ijV#~b*GVRU-40Rp`mhQ`p z|5+WTX4LqwqvXBkPQ_%pM{+LygAOL6&yV#SY(3iE`{g6~%*QI>a$3dnPxmb+vDQ$L zoAE09w})mf7W>uS*!a0;dinSA^iFp6P}pwH_FhqWMH7YnpI=_ygr)oVvk!((Q;{9f z>3bF}8G=GWL&r62X#w?Q(}lw&*k;Y0$UzWZtsKL0Swq5`N>8?F3$Faz&p@Ria^RZC zwrL!TDp>yrASP}%Zyt=8dPo@K$(HLZmoaRdL6wOr9X-9CpdSgu-L2Lya3~8P6#7Qa zJv?wSF9F?6;RLHvIEA3sG9=d}JbL7E){9rkQ$Ilqs@79|OC?n&vobSvaA){6l$5-A ztZ1M(F)nHp(pJlX%R>fU>XrK_edJjJBqxLWL5{Rl0Y$71ZC!?PjonDdx1^ zG4v*XIb1nS!^pTF147cuGO$FwU!UuJs@i04VH|u55~8UBr~qBpHXftMpJ7ff-3cx2 z6yb*N9-X!K3!gp5;CA#6^i4Cr;pi0qeapQ2C6>{Ie;p_$Ri(M{GBzYS3N0HlPOFX8Um`-5xZ29c=h z>4K&8VFJ8Fd5MTnc{c{+uFTeV<-37*1HzD-}qE4J4-_WXY>z&hTK(=_qD zPIr1`a7tv%^Ge&tWk~LIqJ{+`n0cS@OXL=uUGPJ6B7ZQmJG`2JZLw}7fZmA5u_K>T zuTm@khXXnax^sPw96n6pmjPmB#TVl~)F80rY8Kbj)^_K@87=TV2zPbnG|=4}Kh|To z6%21Yh&LCgvk$ANAI2wR^Jo)Cybj=H?pyOvsZ(y!)|58J2e}Bi&!9G=?bpi2VwjU2 zj&K_|D*`v+?N>vH$yJ$p=x`LboRHPSJ}bI!Um&IeqqT+Q#hjU*sePTIk^{L}3U=w6 zVvR8*e10{GE4QCl>rAZADUukHrwdYTPq9(NrR4A1;3df<({30ydpljrA4kH+EpN#C zRp+b`U$TCvea1eLa4zZW{dGDNTj9qd|0qy1-?Z=GbTWT?=E7aqzM`88#i}=MgbUu> zyur6V_FX4dthg=C^i)tpanv1^c{-UZF{0A1Rc|u6t5ohf;XKy%WAWmSnT>wg{VC~> zP?OHAPH}k@ClRFwB&0eZh9bMPa`xd;6sbXteD=lpv6o<_r*>r;KKcH)si~>e@{oxm z)4(Cz*Y`((lp7Y5Z=b+Q9vFPXNjsGL&vwXB`8xtyS&LpA1|r+-`ulzmz8EF1rQ^&U z(=REBN(FRX1fT^as{ffD9i)y;dI#%+0j$f*dL2|(ZOU|`tPb){Li7LNm5&`Q z2+;Q0>0o3gH#HRg@TnG9`an|6#6t0QpZ8 z6db1UlHnmae@esD!NFk)sY4*oKJ;Dw~-gxpcAIJLw5XuSj#CWao8`$}S zIge3M52OQ|)VSwN{c|_=)?J5xfC3Ze%8Q)Rh}&8x&j@mS7slX(Cv{~VCkv_0w5)cZ zIhi^W{lMX&^zrM~fSj8x57BffW2;#3BlaxxGS6jFoY2$LAUY)Qt77=FLNo@MBIEh< z=h3Z1ANE{<7u*-C6< zQJbMOELg(hFJj-jE3M24Br=NUB<|M8FoA$gk_@??l=k4o$GT-0w-EB3@__%36Bh^=t_TFzwnlHYpB*D!bF76(rBxa{W(rOfTUz-tM zDolFUxBhlvwQ%;$M^%Z|UV{nCQanq!o3y}i2@n_yRM}<_z65J{-Jl{me1YizF3MBW zD`OOF)b{VE{&z(QVA;7)=4&@~shI>zvf#Mtk^eElBHNV;65}A#=l>bpyxLf2i7Tkm z%bGpUWhRb3m5c;>8KRYU#s!i!0+Rr$sHvt#>QVT*yIaG|jFV8EVhJ_%h{w+%a1k|- zP5ZupJ=8+PBT|}>o@MWacXR?8n^ZZM^b6P7fU*)r8TOxi(^Dib{5bUQzQsdjzdx)T z2QOyt>?D1zpB`(}S9{-7(d2Ftc)h4~eCHp&Z4H@E13@QKOOaUp4E3`sH#Jy+@7ERa zpJ;T{H%zxM9m}3sbbd8Q=*Tg?6&mYZVD!R&-HH}qyiadtSN}KVQCgZarqyE=cVw{f zvm7ss;Emwr+@?BqV$)VFG@itj!!BMhw1h75YVTE1q~``f^GaK&1)Y=>z_+>KDkh8u zWwxSK3g@2~y|I^G;rboqaodQ6Xa9i%^ugV}id%uN4Y>}Ai?dQx;1bx0N<8%oViL6C z=*|rQNlPT);)4#Ytv!lq(f|o($WG*fU|W{f3zsGR!_(9N{KmDv5%`-~vExz1h?6P* z!y|p=4fpoZ3l}at{@_3mK;9Sdn_94WA+U~@&;o&3zy?PHiC6|NfwrNR(*(N^D!;#nilH<@_<>5O+Z8g{kbaZI8=l^Y=S=xfZXklfB zSo$tQrL`N^ZexzwgK3=70kgtmvQvyIsqx%I3niFiP%~JrD8a7K5)>=S18KSxK;WWM zj`*%^vNDk)V{UlEcTdNnX7{Q{j8+hi-nR<*K)SI&B7lJp;+BI-et(i)cwegbPEI)s z2=Th&Lse#|%=Ve+34e$^otJf;W^3b>dub$r$o=7d7B^aP^{(}AE(R)6yI=74Qmn3j z?-w}HD5_2aRXOE@w~&z=*?VAoLb9+aZ!jT}P*Q98UiprbEi^oks7UEkBdC>|rh zCTf)NwX3$1nu>~!!X6g_Nzd0OQ~Q7Y`o)N!Hdf`2&caUsa{7+N$o5B57!mi7Eyk$A zx_dVbB5kW*ym%}16@-wsl@&icgF4euxC!(qT*fvDQK7U-a=N@MMi{3_n-P=yu=O z+qJ$7hI<0;{4`SC$dUqvgc-}#PhN>O+S z@)AL#Qw~Bc>c}qc#;twD`Q!B0wOzih@;;A^pVga^zpd(QLd!DIlVgE+Z5+7B!2^wad>5?D5a~{6VBe9Iaem3Z-uzr{C4{ z_Z!br9FqWhBE2Ua`KK&Sl?l!+Llsw&A5GLw^3M&QD)uOiGsVZwcRtb&XsNaEvp6uc zTjR8)P)(rci1uNgFS72gw5A(7Zd<7+ggp`5`NGaRddU?4)byU88oQ^XyzaAypZlFg zUc<)eI)6pw*SDGYZE4>9>f`M-R++gX%|_qq{rILScNi^%9i@w)ZE)b2JM%JjG@?Cz z;n1#$_(`<}p0mXlTifsU29WEkN$k~VvmBI37NsSBS7`b?H2vU(7e;TWl8|>Su3uep zWve(~lBDoQ+yCH8WR%^b){g;qyl=(6eYaKY0a>X}j0`^Y1h8kc7KZ?zu!+#kof_jr zi2KQRlb<7_qJY-XHynU4W2C`vIM)sbiUQuVp=!6R4?aV6#85XkQj@qnibmSkzbo=i zn%+E10DEJEB=^qb`r9cXI{0XP44 zj0iFNjbv@gzK)s!g{WKVcQTvIE?lWF%X~MZ0}ShgqhtKlA-vdv>q~wq9#LQA@1#G1 z8hk0*tZ+ZhG<*D;QeiKWxiN1}K@3I6q9cFfx2?^1fam|z-D4l?IzCT>*3>y;u_oR| z;RD@eJfI{HbsE&O%@95?m7l~-c4H1M!etR4Xf66Hj+K$ndfgG?e# z)&pj1`*O_ep9t-bU2dO0rX8$wI#+0xy!~JIIp6U1qbc4%CsIJcBoabUjQ<*?dx?!E zVQISQg~`(o4lH~2oIoREdS)piyvm|<@X6kBI%s;lF0 zlE=Zz`stjUV}0bTMdx3WC(&*5Ys<@td*$$p_0L?-#`qg4`FpKW%C7v}8hVk)lzCC! zFt@HCFt#-Yko&EBbY!HV<5(q+ZC4V%L&bd(KHxV3SS|%ITl3=|K3<2YgFYQ6-Ol%R zC~9f3g(32ickjC{Skd2>+3I-{ezGZ$xs2;li%ped7!ef8c}Rn2k104D&}P)TYI~yx zvG)PvHK-M*vv}#GfGubLW;(D>e?j|J*fK zl0k5SE$V&(>}C^7 zq`EkoMAdvDhhM`tkcPyNO7n6Nw`LG%v-4>WP^P)%=byN}^d{K)C^=)OFpH?H9TPZ3-81kQ)9{A&XrF_( zL=D?8`M_Hl6r{pHL$+?KhfCD{U2Y8D4h3fQe6e)MfM6ja?D-ChMi1<3Q;7UI?`?Se zZtt}XuV1}@LJ+_vIz_`jzEvVQ##F8i0)j744+@_zdT?s~IVFKv*Q+4SO4@nEr2nA_ zBc7O@Q!&i@GBjK%uoP)x)~7Je$MXGrg6P$32Z#K9erwAYD_rpQHe3Tjk{svrZ|m*QTp?4>gyb3_|S*uH)_VT(=38vwLO*Z8WL3tl37;nsIlKt|AEF1oBS+3o znECzv;{i~Z7ASC_>dk@>$wwUQbMm5tvYrR&7OSv|QQ)%MRd?yvW-{NeW4*!E&U2j{ z^h-T2BExdF%sA&Uc!r=jEgA-5+}dXy!vIYhm-Aeneulp(h&d3>_<$<%t24;IIV-N1 z2ZUKMrNh*mgL+~G7#=`#N+Xp4z9KHShhkpe7XnyKiJPtV^T>!z`wpmm@nI-|mKC{n z^iph_(=&0RPsFd8qYqFh)J}xsvmzmZoi+kLXeO}Oa+lE1P;1aF#Ix~E_}#}X9tHQ-U#m2+ z;E;*WDE?FD&V}V7neaj-jNjrJ38<(kxlc8G!&KOGO_2^iB(~;HFNZt=kNmMjvnWwk zfKOzk_U4(Te^7Q=0iy;HL5s2^=VkBTfHVWQI{O9jjDOtweqbl=Cq-8K0ZPtUIgv)* zU#+K9rlHh5B0cx7|G-GLv=^4yoC(o-|@^HM|n4m}S>t0yL zJ>hX)oJ^4*az6}pWQ*b*N&b7XpQL>HX%m~nTwhJtE!(SKj(ycI7;NKOUpeEpFi-t) zeVj*9xmQb}g8t(A(}0|FW|o&ubCP68cA0Jc!Ux%Zt<*!l)(+yEQnOH{kE?M)4$1#+ zf7+KTFS*>BL^+oV2&NwDqP43X?lE|hVvsOhE{t!LEpl#M(hiI4!e+gv2HY;3X}(<(h~-5P~! zpNya`e5wz>s7fnwa<=&rmbvQBqxC*OPV{kf$brc5-_b#GT)%bHWYe2TIPw>0e$#~U zzH*Jx=XtwI#l)zpk)-XBn#?AtpG7IkPaU!`ni}1bTkEOI07V2fqFMHNjUrNx0P@N? zB@C@b&6NW09UUV#TbT@0RXrr|m;3qyIz7><#@G+mi?(0cO-w{s#?Co~?D$~)=EF0^ z|8gH`n^{S!e}Un{Fg?}g+ez79;qtO4u|_IaY3DYM5{k^UN1HAhB81r5AeiNfH+bLc zi6wrUHy~S@=H2PPooGoph#1^|I*l?n5}TJN*r>rW=1faTNdM^mLAy+b)w1XT)9J|VsbBw&6!PN8VLc>Y%?uI7?sgE4K&l3Tj)M zWv-GLq};sMr#Dn)s7H~av4AO;+LHY`MlVxY6i=66CLa2Sy@{5(*u=HnjoYamGNJ@m zsi=9|e=lJ_@E*nE5McQY5FFwagH>z>ALfF1a$wih)cHteyHp-E9ahQ+Dpol4X@vR?O>0OU45bWXY2ap~4j%gYH!WCS; z{;9Jl=|VsTpQvc$Xv;c%`n*N);JeDUAeYPH8)XpUiDRYbqv1||@IZV+;uT^qpJZIY zbS~{jXp+{3%BLvqD>ZB_=`rj%9K6kb?bjgs7!8ZvH-6R56Wwo3)gQr@dH2%0wmNm% zOMhac(LNo~xPFBlF@{0boNyk-SpZHuw%{PHJz)O2$E_E)|nh7r(RfU<8TTd};9m;ltnge7T z5wq(cUIHsR0UlE{_DuKO?FZc?G(#w9O17VKpisLNmPksTz_|@;iC@7&ux{xDKXmjz z#|wOn4uR$7Uucg9tJhD1Q?D{jUvnQf?E+8MtH_Ai@qs_`%4? zh&}?!0z!&%{<62bk%_63Y=AWoqzl0P-Gh_~z`k1O|0_IWo@B<|4yN%aE5kYG3**8j zO+|*@FoQKAppUIR9QSLdXjQANc;3SL%F1zoFh4sFlPupKGFJPHgG$7}n$YVXIig=E_52Oy_%RSDt-8;WefvMPSTfevw#ko_6C)3Fc(NBra8MbA zP*Yvw*B`c|WFR5!llOJ`LVI!Ap@~b8Tjq0%RidfsM?}K`4jX?~+|YbM7*X;FK;{JWN3^LF(>M_TjwSjfeJKw$V zbLGeVfZl?=aE7=vnD>Qq2wAV++_o%y{XdXAWOZUEV*MoHdc(lfih+l1a|3T9@r@Ia zA;5-Gs;38vFI|#Ck=wp0(?-@(E-9D4)Tvpo&p$Jcc|nJX?2~Ow$Fb>e-$KDR(2^B* ze9aT&V{a{W(qQyeSWvU4;ZHcl$5(D*bAAe;ueI_F56(2Q*+b^U;$CjwPllDQ?E0=PturHxUw_sqgPxLuA7n&}no2yQK`f8c^T=k^Yu^D{mvy`&F;2 zmb_6uIWb`ql3CE~fS3OxQi@4*K1FT#d}T!`BhLm7CIiT|I6F=rIKZ61dM<+@@F`I*9u!P!#q7g4OTm8ecK zEhION=oYO(T%VInamuR-+<9^#h-J!YcF81^{QY+jmn^_H$LAWWc`;o`|8{S&tZFK!LqM&qZYd6*pq~>{U zEb!O2v+PY&_IdzqEFs;2{NZDHgY}qIv3q3L$cv0>XxNe{>L)Q;1>oS>lm zdgm7EqJ>b#C!T>PSy!t@Eu1*zcaR)@++MsvFV@NCdqUEB@9$j^p8jO1n?5vlxd-I+ zwzW*FEh#vt_P*CSaAsy5bPheJq-H$$ZnFatgu!jMimyCgu7k{TmyWZeBVAijfF!FX zG(Y%ob@uIWO}x4j7nMe9eYnrQ>$B`je3`M2`$ZV`SUxf!4HU-Jf;$@n zmes0feA806*>fdYM#hwi@PwmD!BXT@3~|+LVId)3h%*R~hU1N6l-ZKgc-Uo+U1c&E zHLO%#7?*g=d+b&;@LlVd#aJ6bRcPRLqa5joVwVuT@o6oy+QZq!?|FYW=5DbP=F2j5 z;$ZwAHYXyi=W~HGjg)y$0>ycIPc|NzdktqY&P!+uxt4b)u*51 zD|Iy*f-qPnz<)mH?#0ZMnziaD&z;T{IVDkue~o1`IvOcA>X~Iy^v8W+X{i}+gZNde z>dWnnYQuzm8(RSt!){BdQwj}3h(<`e5ZpGN^|A`SO%QgBIs96{)PEW}E-Y6TvU`Xo z(}4niJTkJ@XgbNtWG5EmRBD~lf{k9H$OVxt3*cnB-tH&~JYiQehPx6bK%xdX}Y z#Mx*2ul?H3+Un|$1r#N0LLX#3iJ)5d2g~`$V*!k26RUpK;AliJue*M@*Oa&lf8L^0 zL_4=T)v>tQk3mLTszsM&6=K{3d7gJ(@jcy}MWSW@Se>&clvAO#phqE$AzE8$Eyi>w z!~fR;@Uh*V6amsnw1k6V7?*V~xo6SNDwx3o>MXl)uG4_WnI^#0(wt_OY@AK>fyIx< zi@s3&nq=61r8d&!?!ITT^Tbxbb&zbLuJSQ2<7t&0n&}g(bB%PA5RQmMPyy(Rh%gr9 zk%eMyYs6rT|2OlxwWzDG|IRSJY+AaIga5h3?|vDYv;;rl#x1tM>X#2=Vyx3_J?BJ@FocVor;XU?5Xmq0rI z6raWa@xx>oRp~R7BvDxpo|5t`ESCsN2>smBLJn|)*@PBmr=3t=Xkfbi^7Cg5J^@P@ zif|I&ZM=VqVNoljg57n$XSWJKTvNH51BQ`R8Ok@P>KNJ8`IoSI=Up`#RNZKu$9BDS3os-k~VzTr>X#rozq&!lDMJ2a@XbX zK^QvzF*P+MdrHBBN%y_qnAx6=8nvk36@_Y&szaz`q8MOxC(d)>JRzp^=9W<EMF6?f@V|GvUWL*xu$WM+O7LXbdzq_4*RgAAE=+b%{im~8@~^KTWt<58Ba)kE54 zU+S^j4c3<~hsai%JnqbCd7)i|j|@7!vOqZnF&%TVA(Jx2cQe-mrDB}caS)aL^}qR! z8^!QDwl8<5KF+Qtq`3d}rAvHaKWCWxe7RDBZXK`?=rO?q2PW}?Q}7>`Wxk7ev@DI0 z8G@7kHyL8HCcFnXoXtDGHP_dnz+}H&Rw!Aa5kG%~OSS#&ea1tBJ{A@aELF}n6IMT< zrKUzYL(e{zfB5qjMEti??Cz6-^Fn;oAlpxnm>K_mz3gK4hdo6-7oH!ZQZiLO|M(!! zTP19eO`%9pg@Boew%QVQDsk!~=BT9jKc4p9^1!=0s#oePlb`vU`nMLZ7JLCW-;9Tr z^7mVN>9R=b+59U_JpA#;Fb5o06WIdCyZfbY}D+Vipj$CHzsxzNou)U?QTK0 zxFkiPK4m&{FZo>8ap#AIaG8*P9zc*2QJThi(gVf}qYeOv=0rrTyvGk#i1xmFN1x|h z|2cfu{YD=!3P@GTKeBHR8#pwXM;fv|K7OC)%%$<@NlmKS{H;9k9N6n&=OaIPU;2dX z0*V)?8sN-FFgzP}XmlbZdc^NKm@)NMR1#iEEjcDARuezF*4EaZeU^_8toucXn3}jM z+rezKM1=tOAPt*%xubGGu2x|@NTO8zWKGC3bcG}E@B2I;Mcq%47TMQScSjRZwbz3h z=~%w9r(>zna&Qnu|1JglfH=g)3{*ijZbsmChW?y9aiUa5>TSM(fT%Q#rg^_S5#)c~ z_ZX92U^YfuHC!sPiSClGK=Bz*Ri#WmNN&N;nV&;zS(!A!f4*ui^h7V&{dOYWOCi~1 zq&fg=)ro{h5H;x9Q+VDzq!7>!mz*tS8&13|IUVRgx@zgyb4{=y||1zK3=^yx}YH8T+sW_krqveDW`Fp;gjj$m4}I1tDQtHqVQ0#{4aA4>HGH!61}h`q=zr2tl`y zAq1#*-PdP1u}X_^9L;UBC}>YQYpo`+fCU<%3a3N=^{dN zsCggz{$9cxQ<2$d&WNQ+6Ixc`mz4?Q?~R3HI0z!3pbCrF0eyKBVoQjG$dH!x8dZ?m z;af!A?wejH%O9}M-OJ-GEiWd*EC>~Y<~%8Aaxlc*kJlki=0U_^qDJ2*!bsk~nwFs5 z4+5{$rjunTE84D~Cxv7okn#5+^}=_VpI5BDmpXECuFpnhoR;X%zAaa`_L`yfq%V_b z4AmK{U?z(KR#W%)ZsDgzU$}w@XavCsr8Y)ui)G~CB+?G=&dsZ6) z1SdIp_(7eRV~Iy-kvbw7iT4Z}3}M|OI`F>yn22o2?wD9(%AP#*i;Tqj%b7yYqfklT ztA!YuqO0kEu>XPbH!c1-Q!GngQrWgVSQop*UZ;Rg$eL8KT-)sc=>@VP@Fh_Ab`hD4 z$fLlh``GYFhT)U(nVATvvI7=d-#x!Ku#GBO`T+M^g! zju}b5kdJ~@(^OBVrp4^NBbY-1L%`-s7^YP==Z@4Zb&0WTAAKO& zU$^fp;Z`TG(+R(Vk}ksq4xduUo)K6ycx7gY-tI$9;p*#2{0JT0-9eZUNL8jR=CJk% zmM{X&tZywdzw)KexfvxOr#S8rNg?%;mG>v)837e#N2bBOB6{mNH^5M#)e|&?R!{AA zH*GRZRRWJ&7gknU!C!LU=%?na~ z#sa<5`DNFwR%eyc9rRJrpm&0e#JI>p#9n}?wS!lHgr+dsYr#Xj>N{b5Y4h#mhhR2y zVjdn&68_`+NJd`Xewp!T2SA;D@@!SB>!Uug=~3iuFj-DOeo}e#pLnZrd4Yda%v0x> zyB|QEm}Lp0rj}R^SE>rruB&!r^#-w}o26}%cxi@uX7TRXL&&SZiP3Hde&x$6XBKNT zVZ6k%rId=`0zmsBX4-_E5Frrp`Ugw7{BZX|Pd;d^;>E09U?^;AHZR|ud8+qvD~n4} zDqZ_0PZ7JOD-i>HLPC_-cd!{7O)aM2nBDuG>NlJ>5;uNh{M6fECY5*kyYTtum%@P{}!Jl&`L zTqtDMJgwCU6Nzu8w(}L=>h=GZcB>tH1Fhc9f)g83#zoGpv#Ym7(_7&er7#Y_+n8dq zDoV6Rnp8PIoRjaFASzRRA3b3H$nw#$#;nj-|Cam6rZuW37;qG8z!+@v@6n@2^Cj^e zIG`n{7R4nuJeevz?{);7v;4^?R~m0YPWtA*t)uy$D?^3^6DZsH^Uvy)b01-*py29| zDG=!N{1e@Mmjsv*AsLZcC{ozNNQ@_V9Vr5h$O4acv>A+q08Aq)=}U6$`awsZd|>08 z<}0Z{GTZS;K48-|i0YKpEn^WKo|oI-Nb;Mk#0PiFdmzK+*)9id2^D#wL;efGsaOICa&I4wIFV zRA3c_k*pc(7ilWxE`SEIlw!iP^0mDZALPs%z+B|5zP{$as4mX~1yoz@e1ll^0RDi^ zP~#^T!h`O7U12713y4PN@`PL1=Z+V(we&yU zr<3fivPgC%bdrg6L$N0}BkTxi8(6=Pw;dz2nkf1dEt52Q|% zC38)B-Mp+#24Z(b zLq7kRWR8)l4k}Unw|$Z9nrn6P6x~4lvHsK}#X|^d;WyyqR`E^kJw>5vZlo#WX~{as z9I&8HS0qoG(_;*b-QR z!$1KoBqmsa&WxJ9t$dRJyq}?yfBEG!5-+dj0xT|KYHz=xY>r z29ga`Ocv-!^!f*hx=vrGdB1w^b4!7$sLi8SXPURq6iit*Ip6XW zVu>BQwYdW%gL~}I4s{wLtXfo_fY~t^k*2cQ;{QC~@O`A>m+@|fh?GwA>UsC>oztjM zx2f@~)>dJS_KAk@?<$A3D%U+%F+&%2!c3wC~vuZSFgWeqXRq6r0*!6)r^cn6;K-6 zzkkx6-L^S3F26=$nFsNKJOsq|;eZd@2fi0DDNjV@aJPS9DT~{Ro){-Euo;l^W5iJmVapxF z{Ad)*U7IT7k>BG<=konf9DOL4w0!tc6OC=mbqmvvZd*g`jeq?(h6SMNu_Dpbd#E!6 z?A92T{n>f1#q`siTc8LrIaM@qY>EP)4}=7UaWUqef%F}%k|WKI?wm(Dcy(S0Y_#k> z__(85wat{H6jIGhOttte8Hq$BAP*qEkz?2WW%4##4trgWu;xzPwDh12z%&$+$-U`Y zM~)nkpwo0x05Nbt=WLyhjlw_hiC2>IPBId%Tt7M9kAYzoe3!*l(4l$%4i>NrpZ>xJ z16a)pqU`sP2W4c~#(bA!##Pdz^z+^+D7(wWLa-jz_1?I|wvYb5p^!z;Qj}!pE|y^4 zQjS=SX|nWx_Dn40;3diG-n-_fPv6NnZKCE1N(P2bH9y6e2)h&=7DB+rVPf@vHepPZA2!_FsK% zLt9Cwi7GRjYv~06RT-CuwNCI$O7`wM{}rr{0L`Bkx`?lVrkw#5G!Xb-(^Yu#!9mSZ zK+4l<1e$4xkcEtB>+)3Hh$#blSNcHpTPywANo)R2m)-m0VbQWBrd6EaxQ&Pe`iwDQ z%2$fFx0Qfwst$*&qrxRISOk76m zM0THTb;`wri^IG0yGS#Ep+NxEbbEW5_u0Cc!z1^9&jpzc-6t!x8!@dLJ*&&mwft=8 zg*M&e@oT~7qUEh^4;%<)%iFbQPXzcpVMCLS`oW7KcME?u^OVrt@@Yz`dLDELaU9vl zm0meEVT8ro|A4*oLXKe*VpQNtEwR_U5+&9kVL3~PlmPoyiK$*Xp;i}4lqA@^zF@&b zlC!OhbY*Xzojbp*sM-Lt*i|=dFU{VaId~C9Olt^Q*<)0(wmPjf|H-q8$!vPtpm#d% z*SATD#7I`>uRU}M$+{uf-p_{I#0Bm4wTrE8b-;YLtmAH^b5o_NvSE4~ZDp0bc+sxhExx{+Z&dLw|7yvFk6 z`27r(t}i>6N_nqr+_%Uj`>Z*oRGGj$@bv78ZxKYX zlI8G{INg=~he1mE7<{Nwu*vTrLH;1a=&ensF1soaT7+PH^+C$b8$pc+cmI?)YtDb3 z2$V7k+5~i>#+L*=BH;#gexYzDi~dT(cH4D!L?2|ZU)own)%G2SZEW_s|N6`Vq6(D& zaNs|%|*0Yc^|iJIe#1>lLB60P}K$4s?hhW9^Ub4+946 zrN>zIeg;&uqLr$&+mLYPmpf)X#Zh^T1O_Zw1TB|9ici8ID?Gp?X5{=XcLxzc)~W1n#0m=XdHx$42kaG%uEYYxFYIT7B_zmuAujSmvmCs*>*RgG4{gNn>Famnr1JpSjN8X0hBnH*HX!i0RFscok;O8e6qlWt0f(G&_LxYMrAme4*s!ONn(9VvEgEd#hsSl)GQV@;8 zm1)i$bbIrs9AL{24jFghq>1pq`_-TrnI>#+&FI-*P2l2S(OZXQZ)i)2{;I|6gX*_S zsBVc%G9nqrS|)tpB_-B3gub-p9^ENsXF~LSOf*e0Y;10Fm~U(;HPYR@l;o9N{eA4^ z?TGBOgapHhk&nG*)PHx)-USS)pnNK;e`7?v_unafLyEc2wS(4;gZNcMDt8zgbj$X6qgS}cYB-g`cL zr-04;PILLPUw{6ORhg>CB3O2BIp%XUH3fw~Gg(%@aJc=0d-oz%R<5Hr+_drUfpupE zP1MUc>;RHV*834N!vACIz2mvw-~Vx2GLjM5vPWfRR-}YfN&`{$NHQx*c4U=3QYfJ* zqM~HaY>KFmEtT0I<9mOc&+q-;?{+(XbZ+P5_3|9oUiO2x$`l58)vNa$u9*{^#kg$lrZWRjV^TC%x%!D505*QY(LoqxZea9L+R4dFT{_fAH3 zu{vqjZX!%Tw__wDL=?aONi^KAoN8BHoj=UIQh zYk4Z`9l^6-cA)oaGT-~NFAfeoxxeoJDBwF=1ea0h$j0490gryC4X$4*M_u+!u~=`B zY`D5!&gT2#!7DR=&mW-}BYqF>&rntA5MecuaNxxv>pL;2a$-|b4Xy$Fcw~0<`uRC^ zS3LGPf*@-jfc2>YNOA{~#Gz2e{TzY-3AwOg$hv^8!JwxL?nY|8U=1b5>cwGRk5scc z-7JMr_q!?e`>e#cf)mYUlRTcvMaj&K&1*F_2i|_m_Vp+SBOitGpCNwiCYaX>Z@v#9 zYxelF(zytWw&$Ay&#AYOtZK|(WKrBEY<~<0pkU(ryY}7Uk_ku8lAit|5#~VsE}^-+pNXfkJhypIj>M2pgEEiaBtzc zM)~d?o|+EtHbq>X{&h9oC;dxrucBgZ#&qexKW4G=Q)XsEXkP7hHFC%yRmc$71q_w; zpKsB~BfLBI&YftS?o0xjDGayZW^J2jXPEx_{d*LABOb{1hEI#^ZpWEZk1U|gDyxul z4WY^*c~8pb^AxnM6mQc?Dk@OM6=AVsqNk@Pw*&8|a1Y~~w@OHE6jOH|YmjKyJ*>U< z5|)*kb&2TPP#5cdlqhAhPrRlKpiz~Pm6hG(9Jy^8ilQOR2DbO~_j~5{MpI49ZTeOZ z{kgsybqTHfQ^sP?@k4d0hl0}^l(DQFfp~;-=Du^>SPs#Fg(;3;jN{LlwUg5n?>vY9 zVN7h0e!4F$IB8z_9aS_9pgj0bOGATDor*jO*u-O$HuCZ#P**m3Mc@yr0B|<4vj;;e z$6fjoh4Z=YpH4F^fG3Yk7#Gk`2<_a-j}#Tai}I7Z4JucgDO>-`!VU-Nr$QHRjh(vtKP`Y#$m`umv#A@-ge|4{0whT~y1Jp-_L+C?@DtrW z-kIdTB}9i~6~${Eh9rRZ_r358ws5c1FlpXhj-WOhC=vC{1UHrRQOkB6U;WB{1($=h zxHNXkqtPyA>S}6@t^5X5m65u9DF*^F@0hb$IB1<2KwgN*{M?R0t zIypN>LKlyyDH7@z!FD{G5=}gb^9HZ-e8ob4hvS5@ppk-Z;oG-wZL8na*3yEQRQ|i$ zxSr?MXB+9Lmc=47m+*emiRuH7ZyG;7e*K@%PL>w4h%Ywf)sI@M^VQur?rAXBr_Xx2 zxs9>iwkY8|%c%TIP#H006catC!E#h%mmH*y8_41ylJrRW#dDvFH=eorixU>qK-{Ro z$n9l9zofQrznSXLhOrDc4ae35_EHew0#7_QvN9=2_&X|iY=I1A8zsdHtDA3^uX5}O zqj+CKmB*>;_UkJn{jqDx$JSEJn<}Z)B(L;FU*ai!#wE>?Z#3)rWtL@nM%+le@a*MT ztMfDRm+v|m(7f-&W;u!K6#17E4T)Wj$4x`x0#-a8~iDq zWR9Jy>rJq-abz{1xLpyVCBTmf;9u-FeL;YpybRlG){&qa2D|VKjNKAHczU13@wk25 zD(Cs|D$;AYYH`s|DbU=SJ*dbC?DV>q4iF_98XtfU2M-OfPH1wHVB$HHpWX-ZhUQ}i zqgz8$EF`wMst+&+rkg8c^AuFU!r_Mw2X|L1-j9^h1w%-3!?4Ak9ex!zH#Z?&H%b6j zIwUg*e(JP~K)g7*{9(_8e5~TO^FY~7<85&C+Luh7|CmpC@#4j(6PwArRtezfzAu7a zoC>IyuqJ~UhJH1h5S2|^-vU=*>e>xGQFnJY-9SCJql$Kc_BU9kkxQq1c0%R-$wZn> zn>N*?h`h4AN4=}Jug^e~VPruGG=%<0D3T@^Wn^Tk6x=;L6yC|^d`d`8<|>pI0hz@4 z^5x5B#mIm4h&Yz}8TI@3Z|}u9F=7>L4gYtFQpxx@+|o>#3U|c4URYlA)D^g=YSek} z*W6s(hu_)m5X;4LJ%P;6cK97GnPnpMh!j%9YbIa^9u_VRX2c6(!sQ3 zurK4t`RYO?E!WO{`}Zr(35s3I&!jh~v;Q?S6T{DouN;n2%BCpk>ERKRmUil%Qi5ef zO<<-(UWX$`@b^R-k2vL=qC0Wk`y@$tDJY}t9Mj8dt5-3$Y(Z-U>Rfci0)PlI5f}#( zHTRoN=mA6{`bP(-CXc9lQJ7KU%hn2nQLcEGp-K)pY2Bo)4UCRvCLQngvcG%g(hlY7 zz+L;T=b7t!le61?PY;|q>(tmtpBVc4CH_AOOS}v?hn-Vt4{c-g1(O+3zV%Gm?Zwjt zaa(f?r^8dNPPvWem$iQC?Y;Zl(+(n-uN`75s*jJl|F!Cn_DH-g&*G+yyH4R78>LaSuz<| z+wk#6TUahfAW(MSt|>2d;GyxoI~Rr$?WI2;LDTRZ_9SoqB2}QBubMeugoZkVS*y_a zv_niNZmL|UyV}KcTzrvnihvHWO+{yQbaYTjw%V0>Z{I?yFHqI%D1(? zK1`nKR#xzV>c&R>=Y!a*Ryd+|lTU5SKYtY!71*ktnf%%0hHVE~k(c`#=Ir|ifvAF8cJ910X#Fwh>8e)>SUu2-?AX}5=&luY6=$zk-R)vrn-5>W= z$GD$tkLT!jh5E#{kT65wtquF%vr=uLjQOH;l&28jLj=DHiD_;>`@#f4M7BSLGK^LwM=&MG~{&8M@%S=(W^_%6v_eW+lH()$7Op&8RsTKS2b6{1vM`B~F#f^8!2q=SNUykuvQ6wVh%gLC-Jk+#A@O7a zp?0y#7tjaEx%4UFcY*(b1`m==`Y&X_r69K)BimkE)}yhJ2KiM=c~Xz6ic32gOZx)+ z8XVG|K0CEZ?h^C)ZL3qvr4+LLK_0$gm%Mq6#CIK3%4#=%s?*o<=zgW10hP0}^ZN%! zg53iVGF*xDMA-2cbiJksat&n}+h4l&H;;NheL}E7WnCRze}6y5;N2+7L^p(>ikrRe zYj7bmcn(86COqzxa{;Q+0{a#o-1zkXGz0Lap``%^#mdcn9m2;=5E}}`)A921s;a43 zf&CJVMu%9JnSkLCZD;(n0lR+RgRBo{Tdesy;so&PTl+;`zb=&FbaK3NUB2%4!=stc zhO{K7VVkhQ;{mQa1Thy`X%Z^E9K4-;{QQ;knu?nfx(;z}asj9l)wI>+{(a?GwHrDB zDu`uu3pHhF-?dG=p0##y2?;gaD_~Yg$b0&@U2ib*80aL5aIPB0?4)4wl)>3Xbe3?o zejOjrm3$)^LP=Mlaf2f)I|WxB z1Ijy|OO$WFzPev$p~fvkZ%lYNs`=U(m7K8$WAMXOr#Q)X<=XLmldl z9LI$F<8`nSkbD$$)0?|(&Ye5=@b|AEt4GC4^>pfR1Jc9Wm;=3z-h!-|Y;tNzT2e#&kbXMDo;R@?HF`@j%$Ho(qVY9_6%^RO4nXo% z2cO(5-gE@8h^VU*BC^d-)ECmV{V zjY%xd-jc>VQ*4M>$H+*XsdBGhPw~^&Ypj5wZ}6fJc;$Qv1&|%%@CO5PV02tn}ETQB0Z&p^@O^6#E>Iu25Xn zsC`a}jOVBiR#v=rTzd^GfmcTum|Qqv)n0?rrj2L;|uxl_n!L$DNM6;+0k6C3*7$nmycOXonT=%8)V zGiz;aL z9OxF~%N}B0gRD=iuR2J>!zs}I`ueNqpy*;KOuERwsqh^!5KP8Tc(9^dmEjFM-I(%i ze4HK&YnK_AnfEz5KG2`GHE?UkD<_P&IX!cVCCk7)O6LRYE>L$)j6y8@7t~GT9~@K- zWw|BzAYws^&B$mwHRzj(h&Nu`Q_YzE-|a- zPh7Cv>GsS|&*XhVcdz~pmb1rOXL~eX$C%(c(Dh!A4NwQ>&Cagf=(rmP(_BgMbI!U| zE==(MZAldG*OZl(-f|(r-pG?L42f=BX)foaCwwLVGGNIL1hls2?KoTIB~lV`@B8Yt z z{q0Q6AEsB%P_~@Eml|J3Fd>}gWT*3U=kr!p+M7i1&Y}&E`+lo4li3(UUp$RzY**#N z@85MONbPVp)_OS&KT;b#{D%48(vtLf>4b{`FFKozjkU*jKAr5z)TTBs_v6P{LKeWL zt^r_8<*op(;w-9+Kq5Ho;buYTKSkFS6fCB+*J5 z^G=IzTU%Q_HoELD+rY1$KogYJ^aR{m^GG?+5`+pp910>g3-7J?_h(SKh|k;s?)%+; zw1{rqM_G%yq73XXm~>505s!64v-F(+QdME)WAyl1C^*N>^szVr*c*Q`xbp(`W{hQLaTlWNLG zjCJv&(#+1zgd4%nxUqWK*p1gDjn#!f~@|YHBRO7?Rz_O(UlbGDim}hUK|wXz1vqU#giMJ-7^IZiHm zY3l4MYQM`T8?#}@VZZTsx!a06AH0&13^%L5L~DMwZMK|>lbpHL8tWw4!|D38Y=2TE zbdNdX6??cd{vjECG3Cl5i-%-NLwy&D@rrzVh=VLadqXXBwIE84>gPZ?;Rncs_yA$r zXtBtK5!nStOa8` zeWt@_g1!axw`(h2rD>1qhsh)Mit@RSF$wx$;11Lnl;argzcRhEYW?-=*DX_a1=Zab z##lg+s-3I2&nJ(bM8D;zU`%7glDB2=MJ#2G zT##_W0&_uyZ;h>B)X@%Xie1(hKfSgq7FPWav_M`|5?+obf}{x^_{5}$nxNhbII zrj=}4M$IRKte#oI_A>$?F_fea?4hrrHtcd{S-&380Vl_=n`=F85ce}EszbQ)KqZ(P zP>ZB{g%)Meca|@%+`+=bc@=EfXu4S~mm`z4{nbhLfx3B3V+kiG>g<1;4a!BgtrbZe zciJK$5hhg+ctM`Y+-lx{$ZwG38xtEF2&E1*Lp)3od@z4vKqRqH>zJ7n6Z3pdX(hM7 zBGF*qiNe@?+H(c!ak}hU#9~;Uuu!3SdLj}Uk@#s6PjGyZ(S7&SMJ4jV1$-!Gyhdp-eauTx4rl zz6dk4Yh~fTXg<&k$RD&#M+T}6@S*2u5RwDmq~1kE4` zB2qfWOFmY{O@bfpZcJ4?KcqG`Gd?Tkzy8#sMsfJKcM#uw;SC#NuI090p)u2<p*;x<%fZ1jd!9TX*eb0sA{US+}Bmbtnwl*|0 zR3N42NSUvXFILOr+0_EvW@?)QuN}5AVT>bODl{^r0O45dwasb8n{y2!mMol0WKj(< z{~$+51gN#%W&**Hh-}Cir5Ki}CM0;2P8DE`h?>>?35LVcD;Bl_V`z6z%zZ8@`-bbq zl;iyK&?2z5K{SFfPEst7ME?lD1Wb%Xuqh0J*ny=z>%oKTR%h0+Gnb6#axIY--D`ps zZR8DP3J|TBIIk$&m>su%{rXjla%tC;X#W+g&Kc~F=r{doq;R5rd{W^SM*c-vZtof+ z1-j1X>(I8KiyDdP(&kt9l3cX7(YS<>oX|(8T&j>jiEI#BKFmO>2k=^kcS03iUGd?Y zHcUvAFAUwZ55k;dY^`@9g6ZmbD}SR}`ndk7pMdJ+^`s%J)AcvAyy2|G6Rf@3>|!IP zypC(rrY$(o2*=Vk54bqd9I?%WRKlLyxWzLFCH(&VJI4$6(YfpPx*F>0acy3`Aph@~ zOk1yqA+`hk5QtL6Gy!5Rfrj`=?C3#ylSzWLm7cXHYX29xgjYlh4AExN8EDZNkZ?F{e=Qowy8NT6*2KBV_ zwbS>${?O?E%HK~z+FJCYL+_BV8jiO||Ds?mj?g_=3X+=15Y^igh`ptm;254$S}}bE z2KRR){;=q_bPsGQ3PsS)_brAjQc_Z6Hx}TOR0fKjjRdRL6G@3cQ^bBEmja2abBkE# zSZnYKsH-TqA=L4C<|RQmq^a9`Xb}-xt2bWTA#YyfxDk^@JxzdgULdiUIDRfJ(C_m? z?UXP~L={gcHg8&w`SuI#*r)vDW%Imd;l%n48zf}))R`F> z86SN3X3e{?_MCZ%h@4!zWq?BEXfb)$>pOMR^Yi8G6&sGNYePw;M(wQgUL9#I6QCB?s5-1W4 zYQ1^aVU<~S<&vKB<@KOLsv)AbjlLB6@v8?b)Anp)`*|Ld!02oDEwm`WeYmdih8hV$ zWd9r=TCiy3ZiG6iuOV;Cq%7um%E-tl_3YlHYo~L#hoWtG09PfBm_i1N3vR7sA(nj6 z^9a-h+LyyZ`67RV>8E?~$BA2UIV>b3#u8-84ub>KMdL@2essFbx3S?BByj8?`h`Xx zc1?=9Z>Z_3!Pp!OhKP{V(Yn-$2K#pGa(sJH4Do3RlNxCeAat^Dz&f^PQWmC~AH_q9 ztl%UDnN!(E?*epT`|*2-%w^VGlSQdex)^y0i~NuR^ltfgj`)&Nr}@)Vl6y6dTUqfp$gEA9d9nV+TVru zH42UKAWjpUL_&GxsC=*y)*%~#F!AxxkAcY>RtQwS{e_zal1$`Ch4Im&`PhF7pf%PR z9pt^H$O40H(S+6y3u1Vu#AemDn_!&}l04-IMzT|!=DLu+dtFc8r{9Oh2Pr8xoj+Rk6w zVOfga5D6)@c!=deHh8RpCW(mjpoHfdT~yIXsd-6f6x-!a$!#aUURt_3%F<^?lEWPQ zvLp)d_*CO8oCUfZ@4JzBW`d`4(eXTf&?Ti6Gl)-2DpuiowUcpMA7C#$F^S60fmx+; z*oKG3$Fmd83nvaCWk!~PM7hrlY9lXh2z7%Px+CnoF1WcFnJ+h%RBqzr)DODU_!Xa~ z8=Nj#P+r^Dwz2YX)enznm1YGYU3i+&xG<^=k8 zc**I?l`FS3eb})4NE-{dD=7qW$aX|P1j#tjITP;h2=VmtKfhkXIH01FGdL+QQ@Cgp zZG&ma7UWkToJ;<4axLPB>Ts3xckl1Hs$=*u_i#p>JAJ#W`h` z0h)NwM__HKr@WyAydme~8~CXQj*K5|&EK0`3&7bn+A@3d=L1Xyy3hWm64n&h)efN@ zKbs~exw!c1K_Aq8A1uiM02|NT(K*M1&EHl9t16hjC}L`kN=x}*!2+P-MyKC8W`9CJ3L@=eo!IIc+I5ZOqI<@#gO2yPgb`j zmORe4YrX!>YOj%~CgVn->wemM1E-r{>fiM80Na#T9gGx+{B-^8+m*-T zGPDYmcj)f?_Lup;DYJA>>W{5>KZMX<`yxoI0%sZNJU@az$?71)>dedx*~c^d4)X0I z_D4=R!MCrtXOTQH*wlxL5QdjG3n!CpQ1;P>;I*hBWF;^(+3JTiFL3JGwO^aXfrzO^ zcwl9DdFJn|4YCs0L0kYVgL61P9}Dgx8FjH>7af&|s%pyeIJlWga4&QL%=zNEhow%x zKb*EBdgKSXPqN6%eg;UTyj4g?u*aS~REnzYlbyOD=xKy^?Mj#DiLfxC)rq9&i#Z&; z<9XxTNV&U^3rCNnQ-QaZaQ=v7(B>O%0Gq5_T%z#<$sWF_g5&Eb?$W3qo^%-Y5kTTp zAkG1#uWo>R;22Vh%#Dv7t9h^T+Wa8xk388O-4GhwLrX`okY@|vL?Te$FSy?8$S#?ke#>B-1fq=?dJC17y)s;i* zkKV%EkGJANmGUW9hK4HwsXxNjpmq}Wdu%V3;}s;XgNNVRQ-gsZTcJIJnpP8OB$m$3 zjEM$f^1pF28BjPwHnMSX?e7cA$`Y}*u|cpw6cW$x!Nl^wv@qw%#%Nt2@+4@SgOgJj z>(>ZxuGrETN37sTrV~4~Km3>WD?72e6sR6ZG1J`@)_MvS=Uy#kh&`IO7(f0H=fVE! zxK5-{!LC23uwwmtNvpc!FU5++1~@a4wBhUv!*B`fr{Zvw$)lhh6<45I27D1ROQWaq zX5?cKLh5YFupB7-tM>A0PHP%=Of;Nhi3s+HxO-o56{a%ntPYN*f4USdwiH@*6o9r1 zf3*ajw0T3J6Z+%cy)EHi&*HRgXlvW==qTxVy7>g6w99O%_nxn=OsSKscW(|2#K}?p zB#V^sCZ5M3>KC!%$rm~qHtM6;@-fq*G9Wj63Dwec{w8Ksb{#(~7SkDG&E(+Ddm_~E zfnsSe3jrd1BN?6ITLCEBXF}U3?j#JE2G;pv z5)wjBHkfiwwjqNpWY)Me{8!Ff(-9$+(-vuV@}?ZtKK){FV_1DkYlilEJMI&nW2q*N3^KFDCVcHv zwQJWhfAP^jIJSK165y>;h6E`eU*xru&<4ZIM5Cu>%7EYYDimyEM8o8`n{41C$J^!z zrI3J=2D0nY$5Sh|V*pV_=ynI?d*D?dHSN;3gCxhAMl3wu-Jqt%rN%?9J+}dsaf*Q4 zWcd9Qv0RR~x6{|X09*zfHtP3rB!`G@?Q54Bzj(^T!wC$npI&CX}JQd4Z zQsjeu{TAo4@BPeDJxqH&__pNeBw%8RQ+YW-EOT2_B3s9jp*n#B*@zK)llojT4S+q(bMdH1Wx>(BYp_vw?!?%ikN&X5%X z`1o*VBCWvRt55L3%!XZYGHK%rL+_D}gXAxgL7U|ai*I{9g6ahF{~e!oWU6G!Zr#eD_`ZD}^)^;Y@a{G# zey|sN5hyi_07r6zFi!BV(I3~!}op@rR zJtw|(D>II9amMZLUp5MgDX(^3)x5LaYZX%QkjC9sx9`?x6V`c`K|pr47~B;1&v$;; z${x@CGzSsEMt=T-=?9xl?(fu@h|a+fZ3*P*dPIbEUK_p#YBtE;J*^BbryqY9f}gGq z#}0{k?3EvebB?ZU{sDGT@6GrJ(gBXC%H_p*eV@o|DUADesVA#k>x$YbAIj6T_h?fN zxkK~7%qD&gEyKan=ct!jUI0&x|5#+bD5EYH|5-f!=)iWBTsf|xqH6~w?;LXI_GM~s znu3@j^-dQllD!(#I*K!4bRJNFA-tts+h z)PeedIYz0VDk1ZxU9AG=((57b(RHw56x*)W&TAqEp~YZ4H^XlW4VTW7510yw_5neo z`#{O#wwekkgnEtqmmb&z$O3x?n-zaec7>((-1??W0(fhK%bv9-O$>er6*8AtaM~j% zo}i7xo)`*==8&j3N$!ndssb(9xr3)X8VBSSXazCtkCaoHK0-DML~_eI{3*Wj4=GOt~7Y<~kH7Hk6wDKnzeH9Y0 zTrU{rKb!2nPD*bt9mD&i5X0NG>`#W-<9Kuy7F_#aki26`ywO`9M5tyPHBD&k5>24?dfdj!eDCf?!)Z|^$S!6 z+vW=L-FEvet6H6Fa5~TxB_sCK**!HyUDzMRuf~yj!qjzDs?&rGLm8 zHjIdJM9wk%7h%f#YscMxT>k$4c=xr?N*~QO7}0$C#$bE#HRg60(GK)u8IB>Fw?T72 zf?^z&Vg{Flee`~6JDAOUJ!m;O&QJ#)w%KON063>u5iXWX?dB-pP9r+?G8^<7L#chAJdUxiIWx(@quV09-%GRTAfe3Nh= z#hbVf&342HYeMdT$s85B26LZ&jAORnsddX|Bh2?;C60Hx!~KsnQxX&=FU}@*6j5Ac zDFbVn)sxJrVJer-%XsKO7TRENjnuRGi_oB0IXFl>+&^}t} zzpmdc7J$f>=&(J1!gdj-^$|~c1?EQPU15A==(2G@(Itj29R8$2%w>*wZf=NaoR^@z3vpcF73x3 z_F#PxGGS|=qGn}f4M6R>2S(#BvTgKt|6%g^*fOQ!bj9;ROsM&>u&oUDa%gxbRQ?|I ziB%C-rO6Z@bKkl#;Fcu4a-I-B@8aI&ih3I!e>$sWsgU`#I)hd98$-g+jY4!E1U)o2 zR;qry>vU7vNkJ!SSNGw;_RKChm5Lw!TaLK~@>OeuhhFkNHDflCv32X#4(O)OeR<6Z zr3`6Aaibv@BAo#_Eg`0UcAUl+6u=0!hHIrxNOp!Q<2fq4)c*a)k6GAWVyBC|0tzUc zi3romX?^@L?fRsoiwOPYE~GB=nYW)y`!ZB`XtG9lA- z(muOou`tx5wYN7_KJUZRQ$6=z>-^yg@?ywzU|GL-_DOl>rv`kQ=%Ry@QzMPy0)SzM zjH|kN|Bxn6F`@DV`bN=HyM|V;@Ax@BGGd8YB~J4p_*dVnSM_)MKs4T&JEKX;I>?(1 zJkgwq zwb*7j+IeXm#dm&L%RBXou!f3{67>`3^l^c*r>XIq!MViW`h;Rn^*hDDLH<+-eX7@*u=;5=PAajEIP+!c@mO;EC3igkusQ0UWOt{*}&# z888^&2NF~m(X-C&;>A$itV+O!Xz;0*0FWD@Js|7B;EQ{Eq=W-Ap1r39!yYy8|7JrL zMr@=%AhC>nH-=U9zd*r9LYl)3qmM>W?%%(^cUS#q_kB?a5N%w(ah~4es%Ykh9H-`# zZ9O*|2!Oz_#o>``D{{u+@e#Sw-cK7eVu01A9ZN(cde3FsIXO4J{X2@dKtE#NMHG^| z&|1`yWzvWgzy_J&R|9@JNc$r%^iZnE69(j8V=;IrK9C4Vff90q{KU@>Bbo~g(f|YD zLajo3_H}ZSL7+m%HcR~b;KGJ0-6`%|6wfnN(g(sy#~t^XSW%4M*k{gb_|>u^Tg{P-Q09Fv5e zZj_vQBQuN+O1<_G78kAv(J(}k^0YKyB5vRXd^y<}qSi5ZBCLppf6aj2G zKj>&_8()s%wY>}SOZ-b$%<2@ZcElAlhHG(Kl|AaLX&vBs!7^fqu0E$_xxN zdR1d(*mEtSAxgxwfYJhX3GN5nh_zDO%LJBk_LP)m~<1W)CNd)?=y?mHud|ZF9E{Hnjp`rY-41Mcjy-HRovB z@9&&gG3s`o#IF~kzY}!HbN2()kh5cVgBHr-kz>bb@cUOC9rsDkzXPK0>$h(am{_gQ zuB+lX0J;+jsBj2VuP%HkDXIcn)g;)=4>AtBj4?cGdn0Pg^S<{*zhmkI41MVJF=7&^CNhXy!jT!8}2f*}QXO!~$!$96UsGdF3#5{Ur6Lw=VS> zrPXN_yz(<;P9Vd?jZ91(yRJ_QbFnsaG?aX$7Rq~N4R2CacXyJUKXm568zX^nSAP1G z#{Ck9%T07>`r@og!~0vWMfm07v7%}}Tt?Fahm=;!yLVf()f_JsK|oVWu?0~v%=0^u ziZVMpYnz-p{@(^osEV=1hdKT{dL^;CgFH$yM&3X1lz%R}%8LbP&4(nOYD*205!Ac+*N2$XBs6kEU_(% zc!l`*`BTHaAdLcu0^oufdLITw0|q!!t;(=5n-zc1hPD|RqWRD0ji0Nh*UjMMZF){g z+dx|<9|||QeBVo@iA+*o3S`2)%i4m;5>vwdsL z)DG73C!vw?(E$OoyHa$~f-v7u1W+P6j{3*ZwEwdp0k{^r@MsbaddmTQw>xE*rUekj z=#C#A`qsjX_2W4p;8sljIdWw!E{~On!U+pTq5q`CAi`HK@3GP2iT{n^>z}r_O)1x+ zB?!k73J!>GMUdi>I#u}mIXR(26UAN?8$Ueu@udszlP6Cg&$s>c{lL91m#_i@%7`S* zSHOu27fp`>PmYz>KTqv|MZ9~5iBC0RPA)Vb@%Kazq<-f{Z-6xOc46autN|(f){9C1 z>4e(RB*}2flN4_^Yqg2FxVYFo!`@Lk({U=r&k3u~;m2YKNl8wo2jPv1%|YaYP)QQb zsJ28Q)Adu1!OwQsbjT881>v7D0w&X(7=UM86Pw*)kb^__g<*#~;|9Wx!YiqPYT_HG}Lu z;97fGUqiV~;>*AUR`>KIFWxkJ8VbEhmp^!xYrcQ9_8ki?yXhZtE=#<>zWvJnS&Bnd z%Ow|0E8e|}km^DrIdXqNy^1mCGyu(xiUgeA>=4jlK zPk9t6E(DCRgF>9odQz&kVhfGXTDkaN-&{&Bpq2CDuCGzCyQ&<4NL1Lci zz+0wYbE-h*KKDZAW&wdinDA9(+8M$ zj-%VXdHowDckjDM5-C2WfALu9Njwc(L_}tL9Wr7)v1txg;Nq+QcEGN+&KL`X$=d0- z_qpZ+ybOo;r+5 zyk3u!Kgn*?q#F4+g1SaPyTyJ`>~Im1wIAppk=`TJmr8M6HwUj2AP49 z6-Jgsgv$YNaFSP_c*pR7H>+jS=6{5A$aT)t#DsM?hZ|fDRolF6A#=McTX@q$V1b%C zh}b%3X8q?fL@YV2z{=%Zj(hvNr)AkWBc^nGb8jrPyM$~a-7MIolz<~+TFtjPMPOhd zddY%}w4@tfeFR9GwDbmdam%Ra#ep)nuR-5^@JnM)p7Dups&?1)()uOb)Nf~QMn@+$ zHziPwbJC;V8uUq@?5RCxV`T^{k;r(${fe42|Jp#I6%Pm-O)p)BgI>43J7(L1hndl5 zysjKo$YIo0NfdhTYQto#W^aSo%!ZFb4P3tvES;KseN>MIEFLq)KasQ+lv?8bhYke5 z8*x4BXM9GR(CgmBO2fcpoOeXQE0TEx!e891eU~q*6WOQR4d#hx-JBvBnAl;*j+xHR zuHK1$qtms)We|Zh@ymXbo!M+xE_XjZd02kpjvBcrisiIZ$xr7*ym)v*}mha^j(iNRau7rX#qyx)u?_C z@W>AqJ9}5NGd5T9tf(wTk_?jJDJ3WKpol|n{|NKPWVn+J@xE&&z z6#l8LvR7);a=!nci`|~?G`uq`Vx``*RG_xqyu3mTvbP+`j4ZUVW2wp0%`p^W+FUuZ z$*i^{jBVue7baR0MH<{}xO$-z(Y~nN9`LJ2J6)n>+B9{oE5xpzp z;kiRRaH1t9Ud^=nMi=yPUk6Ms@|odwLWWW&-P6Uz#i=ZtJ|w6gray7{4wfjflRTWx z7r@5IO93VJ`Iv_~`(s;SO>q4D4vT~o1FdV0v?jKyICVmRdHiVdM}*ty-m1orJx2x3 zoyeX+^jB3;fe#^BeGpD>mxop!O%L173J7wQ-W6 zfJ>g4tS*d2K||eJx>2ZGWd|4LK>MKMDM3JT;~C_?WL$wUTS|%nkDU(aKdb%qb#+5H z3-SvJ0->eFs<9xk14-CA7;k#}$?3Od)_O{G*}F_whE|W}?f!-+!jaqNi`V~Up##QC zo;op{8iAcWJj@fK6VE!^gkA|LWw%6HJgB{Jrqx8$QLPi(0R$F5KQxvYdqoCs(6TVO zgY72Kc6+z&Vd_f@yqG8}vkaV0{D5}HkLcB99A|@MT*Wcdk+egM*^?}|-Zv>U8=A$f zBy#d+xl+yO6}WEpO$&RH%xa47y1TaKf*sbWqj|ksCc0t5fc4wXACy|eeKFCMd(*US z%eG;xCV7_>2uk0ELe_cl1$0wsAGRyQ4h;cfEhYrf>5-p5Z{T0rMT&Prt4#U&+Q;UuX=c13JbQr!Yc zrNDVd@V%hm;ICt2b>3?vTG=rweoes5$o<=^pZ`tulI+y3pyA+6!#~ySck!1Aq-}%9 zv5?IejCK;L1k&ssGF6XCSU3F6{`$!NyMS2l%BJyaKobM{-L~Y55mE0H$Hz#b1O-w- zcEC6Kk1pH`X?!BD^ALRp?&|AH(>FjFlDIK=y%Rq0Cj_gpOK44Betv2Cbm5wVG=PQc z|6*azxxXvTEYB-_{pEbG5+2VC$gbGBJ>0c~G;X6)jJ9=sl{(MBGg z2+R;wEiKF_@p$g@U%u4ELBNW2-O!vL*kq_Ag2YmGkl+p};~vnSRN?ZZ)@JKwY2(vy zVa0oECgByfDK%by`$Xqu;qFg}9c`}4=vD^{uV zq{nyM7igFGRD7q=`um>9k*Tv(zzVcEQ@(cQc17iDOXIMz?A21C4^{d{^Wd1Ye!gDG zYC}iI5$liy8NvVlxDg->K@phpk-_ABf?{dkn;GIp&+6Rtg7e;urb?5v+^Kjq)a@=wv~2}w!m?_k}Usq&iPhZ9VNBbxlSMghgE?ai*9 z5ZP=!C5SHOCS-hBZE-0n4N+@D(K(0;Ixv=nUJQsnwdWzHT}k*a?}gpXDYXS^xIguw zFyoRm*SVmu=$DURy$duiPt0Ddhg2P+7h)O$U@BJm7GMz7sZ*!ynKI`YVlLNhu7=Rx zZE?;nn3pa48m3Hk{oAdPRak=PYiw1$gC& zL}}yaBf03|k(&p!%D0g*Zt-;Iulwe2q_;Zl7CTY$P_Ay(AB2S7jKZvN|M%j=gd4QH zYs}CIJ-Hr5vT{36fERvz;)26rFRDHcB^FE}zU9A}ermq|BfKY#ZO5sDiCpY`YZx+P zVq&z)a&vNEwV=m|y9dNNCdFvD+J|xNiINe^*&;!F+n|xOWl8&YxLwKrSQz^`H^#Pt zYvoyvBb-cCRGxo?1cU^#-%vV4Y|7^&dBY6s{y+i*{Vg126zq-aC>y1$AqTF=K0P%s6=&lPF))YrXhB9WzBHLE&!>*(P5|iLeG#S zb!CVH#Csa}!9m!~I%>Af`yM&6(eoKNGV5&P0_%NoSU*EIp9b3DCqB>U$rZx5O=@0V z(DOJ5(7*X|GRT|QDTwDAxHvc(PVdi^xrDj&+BAFsf*UthqD|+VT6s5@?ghx^i?ts@ zqei9&%G(Zu7tmkBK}y%>GB;LZ1)C}hokW6)K_PC2yPs$EWk zeHC$9a}?fSHiIX>d8zj|HipwzVCcK!lLsrTe9x_=sJgr?f2@92@N9$Qxz-C05qQ zQN3C8DpaG5(|dR?7pL()H8|WAlz)ZG z=v4{~HU2zN2htHu@AI|n>CwT#3hE_!ODr^xbKp#`1rBu^$2DI@a&rB=W}83!I3vCg z$fT_G7rO@^#?jWY`)(8h%SC@hjr-(m*d(~Xm*SU92-efvN8C@GNb0z3`3{nPCF`KjvTaZ!x{22CbG3bzqsY0LAq9XfyRvnSzW= zWRw+7xn-~_%sB;iO`AN<014kkWSp1W-M{YC)b!RW*CpnwMF{QYancThjBf@`d*^dg zujv|-l{vega!>4;mJ1`}ZhpRM6aP2`kB#~d_DhsA?592^{^v21%vFCH&NZ>bL+&@y z9~|s-8F<9J2-wyxcvLj>Q10-_r)FZGxOg-$$is~H&blQGb@p&)FE&r~uK61S;~1mg zFx9-f?bAXxKVN;U+A*g=KqRHf$;p-K`KT1HzWD*7R(bdn;+9wl5sEt;6qIhpPHC)h z9T7jp2#`fQgYZp@D=2_9iCKW*pdZ%-UAj8GwtDlsG|iRh)T4aDMit6k98Hs~^J3hw^IegkhD2(onmR&{&zYPFsEjZ2MPtgHed zVYLFRW|D77sWyOQo8XS1fiaJj!!-ztT*o+1c2dl?4x?je97pxo*P`Pow9S(e)@%C$ z)sY1q+Li+l_T@J9%uTU|Vag=em4EAe6Yb_#{CEwi8#)ndYf)H)}eT{u8~-l|UzZ?30JS zHvP#2=f`z(t^NJ!R^{zWMM^bu>i8Zt*?$r4Anx?vl@qND zrG6d2%X8G0x2dwRk->j;Q39d9ElD=4pW}R}1$M*uTYT{cPnO8aM284g+^4+f&;AV^ zm`CuiQZxdC=Tg&+*I&&@OiYw@-YfO3c<`10FRu(kv!3EK^2CgQM?gDIx7n*FH zHmTo4YSI~LS&M>^#M>ty!@8wtkI;paaVHIozU9&o7dBb6uydlI2_xe8`HA|C+I#dF zs;1Y<7FE#Y5=8+z5p)uFt;J5^YO&!=Ire=G3)}Q&4jqW*L4b~sjfwJcHBH~YtVo50 zo@C=o*MS=-Rrio1@W42i1qW3$P8{ei2~fT~O}8dJ=y>7dkPPy1DtMA(LYhH-eyD7JOK;^I4Y``c3u19q&M_QL!z)M%&fVN23&CYf>8!pjaG;*+OX?yfT>=RuH6x;A9XSp_sK?Hk#uU^ z9Gt07Q@Y;Vn1`747Y*t4jQ6BJe9`(c6qXb?bSPNn8gT` zLR94>1I$=L(7h2p0a|46eJ{Vw#j?A??s0x)D@NdA4)3*@k|LkeCj+|TpQGP~t@z!k zEs!FBZp2@c)E zHqzMU#~=yUeq=pc^BsQj&F@qOs`uwFbIx9}8!3L7qS&RlSaL6vb`y_oSg=^2NWRdv zKrx;RRcr@StfZRKLsIfZWfJaGcU^D4l2Rd-vQhAy4!iuuDU6Ja*wqjVSo~ws$G*=VrOp#W4ud2E8e4aj^6`rX3tTC$K7KqZXybwq0Wj?O zrDNj*2Mfx}HSyYV9yURs#9kF~ln5tW)jEe}i|&1r8dM}mB1V24w^s4J&B7K! zj~>HLKyZezPAGDYkE^+I*9b4Cl4Ec7Zg)L%hC~H1SPR`j@yQ%`xvF|7RicZbvA7~nG%+tIVz>de6IvPR2-W#vkaw?@~+ zpJ8p;)u6fmY(K!kVSW3<^+(f3=CZT1pFwHp@Ww=c${=j&P)a}_`;pY7q@<&zU~<_H zq^NX84_BI(4eeguY_sRd-SZ7I-%%j()nsUk4{Dz^NZOHgvLhA@L>$Uh#VPC_mfO7| zv9Ho{cn+qhe9-@ahP$cI&DB+}KC45$gE-j3-fz>(h^~MA`n}iEA(5tXm!SsHrDsip zN89B2A==xQ{cFDTO}8IZ5ka$$GK6{bYiJMo7_=GZY%;t1BWu2}PkZ|+Mn=my1Rhlt zj(mP$^z)O|Prd6dns*#O!*Jc%UF>zX!cFCw={q09KJ(OwD9z7iOe*;96cgc@ZU|Hw zVJyA47aE^usNU?Oo%DRP2L}hw!a5VoKX_kHTmc@nib6o9D_T2YZaM!j$DRSmgOoA)dl016Ys!w=oP zv(5%fwg(5(!&Ze?vlr7mZe$im%NCqo=$3PKvKF?Ogb_t+_^e>z0(e!nW_c)1d3Sl{ z*(X6DzTw!Vq3QCtZk>|udEv&!j5r71?3EyQqUlL$1qU%(xz9f4hpeyaXQ_h11E>0<-yq8sk(Z~OxKun7E^BmxN@ zKhis}ULOTxUHpMmy&U+uOhI1ITOS4qeDscUd)|f%%N*iAx>7~BavZaX-?Rus1@o^t z>5#1SQzc)hnwY2-ueRSDirO**E<^=zy!OMlhc z^#77@sWWC{g$DUygRzOpS+tOA-zoqsI=4#U^rz`}iBb|0;oxJeZ9bR!m{^;qs=kEw zi^;omYJF4@>!zSInj!Oe2>9RB1Hje(X)+Ehc(+j8nX1zw5O3#-s8`?#q>KXy5Osai^ zhyst0N`4VOeP-!A%~4q3^coDD6yBci$ze+Hv5{ z*n#iz2rLxcvEI=Ad7jLy>v7%n%*Y56PS9>MHqX=-hfXka!l0+Du+Nje}rw8nKph72*&EJ52(K@adi@LNWsSgKZ@?)Nz7J;Z zhdHj#_+Sz~F+=7(;pHMIIxPGargE}pm!%DA)uBH5g1JLr0z%(?TfJ{n%-`lh`0Trm zyqy3&NP`n{+jJ4q{HzeTu&hn(&74`(gJhW#G;#!*BKc9k&H|C%XI^3EP9miO+DeVP z8->MFynjuXsmy$1DrZ(cG^yf#?&>zc^7mS`Au(u4TWo`08n3J6g=zk_Mz=E1{nizV zrx^7z^xv+%BXu?T`{Iz$SS0X|*F(Uan2Sy^KCf;H)B{Xka)J*m*FD|pz>)9barL^n zkrI)2?0SG*5?OKjye4X)!*`Te&t}lyQH-vh8002XgNf@HFRBL@84PHmB!UO#Gt*LU zZrpi4riqf|^XK(A3K6JCrXhh%z7d;t-T1%_ap6}dWVxXzzyEu7y5ZO1U!txeve5xw zrygz>u2tpFQIYvwz3i(Z^YP^8rz3d|sBU5_iYp4#H~qr?SYylaOM22l>}>seFKNwB zv1kaYNVLCX(-Ypnnt3reSSEKMGR#5eyT^(Z!q<5|S{DkFSfFibi|`-uq^^&HFwHhV z^5`Sg=2kljUH%J?!Mv0E~4EQDKPxN5CGf$@n`QF zif7h{>b)l$KjOKg>`L3zPaF=NHJ$-{E99lbHFGUSMB|FLcu) zVmmPsQEY%GsCT?)K=JPKU?4ioS2n2Yeln8j+P}&?zj$6ycJ}-zL{NJh3vo6b8%{_{ z%KmUL&`%qtB!)ROzXm-QegPn9#er2n-d%Fxsd5+JYyIbLCj&elXo;@%+@6}6dUB%j zL%*4=qvK|tyt{(@#n1HsoIgXO9vb`7xgIz^m%iklq+MQm*-mo1cUqAyE7`6ln!gzL zKL7W#+JCsOO;`9%Z#}C&C%Z@I+R)atY^htXgN!DOtAm&a@sCT=u`rEAZMip~Hf8H9O|`NxDg znvA`>hch+Y&qYUKB~;AaxHDZg5YyIXYz*tNX+n^d1 z7iSdE85sHN)l`oU=Z6-m&48-E5(ea)@mGro}SY)8IRC}~j-JnxPKwrN9&k8ncM!*(< z6UZxLpT7OO${3+2*%Zlic)NIA_vM~n9;AQs#3F-jd>@n!oHmCfS^QxU-e$@yf#RFM)}wE zVUU1jJ;OqGc6!5du|+$BjU1m$V?Z1bc{l*r{TX_xJ&|2pErEaSs3-6}!nTt=P$uCf_m-+L^?ypF!#+Ew^2Lw78J5-{g;*_9ZiIQrnh|HI#Uc zSRi8YJ1I#*x-$Ln@B*GRh`zUJ26Um{x?${T^jaxGrlo194}b_rDT%L)$sj*!HCY6QtOd-YI@Bp??4Zu z0P?%&f# zmE=@3x*Q7`KZYsp6*)C9K|J{K*Up_LqdUJK>F*UvA9+p1nCNa+00?B<0aOu}NLUKA zFqGRh50H>slm(NyF5^eP`{f0yp+oUL->sQ4&KdS*ag~BCKCDf%^K|#VZ)fA(iP~9& z(e%FdcB=tsf{>VIp zonjgENVZFEq9P&{(2PJhN3jc>i5{UAxpd-7#{hh<2n^iqJ*_j`Zo`7%M0OBVGopr& z2ITaq9_zorH#xNZT!uaqGGk^BDrkZAm*tjmL+1ipr16=AX0K0G*Fxoaz{#2y2BJ@4DG5sp)fDzT=t5p=?A&srrm*Xq2d?WH>fRnO*{*3q$41|gLw@?F@0IGjMpX@unD*g;>)7fFsVRC_ReEkX#?SF4{te!NMm3%-2$ z@y~>d@ePUFUyeUS@(p{-+5v!lrWo<@=k{~K7|rca>LeZUnn5VY@b2I`%yqaL5z(6U zDNt*V>$!7Z(Vk~|JQE014PpcHcP?@0$uSu%cZ(|N>S)`2QKHm9AF?-{lQ77n95bB{d&qVilRq<8GoGX{r9ROi%C%jSZ@rawQp-fv5w zbq>{#`zECF$~kWP*{^xzdpYi^zW%+bqxv4%@#79m5yBkFU-692PuLvMkUNu@mpjB; z`$*9GS&odPf`XBB%Puf0eTtviSQ!qX^D;esI!BrR3lQoZxn}OBwB?XIsY(~*h6jJ^OC-IICw8d!yT?KEuw1#!$=?EuEUknqR0d^DV2(BvHIut0omcH8fi6R4U3i(mV`^E028rL|J2VVPll9ruF^ zK}B6P87bFP_o1|SM#{wBTei7d6bNwjDWsZ84n_#7D~w)m!Xj`)Ey=gFb5B`bi8E;IvVSUkO4?r zjwJV?L%b=hieYg>hE3!>K4du*Q02ZxK%n6@N(C7q+44I-15=UmQ~IU(1jcTAzC;A?tpkwrEs-w;Qy5$3$ee|JoC>%qKEl>)mC4 z4O3}^!MAe`qDxLTeda1=QM&6^rVTm)mrTJW$9ts~$HN1Hg6J?eHXQW_@?^M><4Gd- zHRB{%GxS5zIg-3C#JcT=I3Fb;K`Mf14*@7%jxwbJuzx--I!LD0BOlCPe^c=P2RQzM zQe$*{T()BZm^4wakr9oM#JLQ&N&snZupcPX7Aq5^VOquN^x;B4Z%OV5FIt9|>ALrr zym$G9K2ti9&V0ld^(C`g!%T%c#*{Xv8E^h_fpZD2)KLHrU=T=<4#KVgXOrB1GCP4B zSI{Vo&JJk*1->Bfo4$pag$-mh4QbnLZEU_kbaw1FFWrD#GYanE-BFb~cmQu>W1OtN zJwDQ2c%y#6b8a%bYi8!di>m(c=+Tkiu&god;$J|u6X+f>sPZOmLWlJX9R)#~q??80 zmif7ik+b)A#QxsB>+PF2OmeZ%05jf~)K66ldy9HX2Ia@L&pxDg*xs_t&lEa2J}S7m z5+#k+ktW)5fn5FW58m2}hx(Evr+tovv@0TvR)FN#VB{Vlh&oS`S9a<)98%RgGBj_N zIFnij*AD=pHDP9Y8SK#Dp7HP?vgk8pIG5+BvfwqF%*Bn9D;r;74s;N<=41DPQ)?H0 z>*;XQ$dD+QSUOr-x5Z_E^@~42@ek=s0IY?Nop86FsMj1(JyLv4glz?`juu*;-%A2S zbkTVl5~Wc_ei#^?6V&beb|9SD(7>DhazY(#&=4h}cs zK%?!?EZvF`%(;`2m~P+5#h4(dqZ(#7-=6k!Dz;7Q24*k=9jStd=cj?v8>0DRgKsY4xkBKwz6hc9w|t-_xdzzR5*<11 zc0?HLkP%N?#dPFoL|<>O98;h3=jR50;=vzPaGnShWZb7Su@^z75fwJ}{dQ*}_08>eO|**8)y&+Xtp`;^qg-Iz+CsQ6 z)!l5&nl7e}8hks$j>eYu>FAcO)fcy4`l8s^T^~sQX-m$c-f9pBRqq7Y+3y#2$N#*U zn7G9=EytqFJbio`5vfeJreec9+}w4A+2$n)18vQ#ruj|$ty-^&S1(@-i-vCZ-tOQ2 z=aZdVN?F8q)nZ6e`_ki%VjT>h*{EpvP%5hsY(uAN{U&iA|6QI-LAyK;N&*?~_4ZCU zdtvg;x*E@=YVhcAkg<5-CdrzR1hdzb8j1rp94}?_B-h&;oNaS$89&l zxzBIUNfdP^(p{YQS-ae|L{lL1+X_^J8A3VBSRW`ZNNOg62-oel#eP0@RN%8RUWF2@ z(Dp#0O-7)I)sacCFb6kIJe38>mL^Lr#Pgj(A*_-x^gGi zyX!{IWQ8yk-USbN%3 z?1>{!eAav1ZZlbfI-D)O@-ll zb6Y~~$j%0BnrCl>>$+Nx^?A+xIdwAHajSxYU7_3|n)NfIb__l^C`87+0fs_pC_qa` zcl3;z4{g@>AczkvV-I7nfbMIbIO&toVK{57fI!vO)diSJ?$^=^JNCp?2^**iXV@ql zwyTWTZwg+a6}oX?H5*%HtCZPudPp8sEIG~WnMFlz9H9R&0RdMJ#D%yh93{5Gm5tTT zL9dCW#EayCRF4ujG8fSFxm!p!r`mPRBl*xt70$!P^F55+iA8JShu93V`Pzv~kqiaP zp24~t9f-4dG=V3=Za@316pivc&h=AfGYut5qau6tMfgJ#B3q4i@7{g0$rge?NY^dy zzV18np1iI*v2+V_Q*0~aRK`t}>n!nug@vOFe}Z13UQ zvm30_tn8kmV|Z{qiZ&L8>PgGlE1LA@T(z`V92I=TG{}2XN~{Yj3f5HLJF`Y|`}U)D zjRU+2r}J#g0{E}?dE*9ze4rZooZ~R}q2Eb6Sdqi!Nl@^BQXMjBMad@=K@|58GED2ULk5ZihNaQO z9qvr{KNGkB3jKzSI`sptsGrzzTfiR9@$LCa9=TdEeks|TEF?q~Cw~uO_zMy1JG4He zL>P|DO1Vz>(&!Vy(q1(;tfb@|ny;AgQe-$9#12G*{`+CC;!3E$_TqR4iwWLHGH>4d zr|yx}yu4Q--=m=bi#Y4hPZ3F$PXLkc;iEW5?if0#F_h)6)9Hm^5q0q+8X7NJr)Yd? zHaJ}PV41lniz1G6rX(B^^2zHEWh0h+QhQ5{3$ip{q3V=z`=(Rz@Ffl}j=CT5n9#wv zOA&cdWRQs^aF8MxSK&Nkn84uO{fOKnL(WM8J%-QGem*zgjwhjOW_yn?DY-IobF4U zd|x}D_+igZysKUm9jDHGL?PJx@ic=|6jbT1e1A13urM=!@KQ1$h-?IUp~BYUwC0`x z>(`~3*V4r9AWAeNsV4q>sG57Wh}REk+oQ8#`!ux{4(n7IpTA$twKF`UqP~WGLG7WI zPb60E6qH9vZ3cQ>Y6RLG7%i|sW|z?UT$s_z3-NFnhwf(T=4#;_ZTh(E`A|j%Yw6st z7qn(mXzEovBbVMS{CwK2`kVbv;`|AKB*3Coo_QZS==;8TIq3H%i>*sp8>13` z3Gcu~sC1~dZtGNR(Fqn-^N7A8Y^PzqGR4DphjZTy{`g^<@@@*bzByRsd{hp2;7{a= zH{D}~3d_I6vD}|Vbf>mPYV9u17?=j3ENT0udwfNp;4~R#fntPAc>JTJzA2`%yIY{) z&Yu1FX9ZuA5KSH#6*X}?=li#BR}c~kp>Y7P@gq0hsT#^#mQ7{C zyy>?E?jHiHV_xPP zj&*Z&{m9RsPK`4ZV~!8Hpf?xt6~*y-uLgR$aPQT4jvctK`mRU8&+zT%czBOYar%6R zLKsn3tZ+>yd4(@Xo}ZtV0rHsQVTN8e56VkSLTUEyDc2|7Wo;3dr_CtR2+}kvrZJY*S>uY%-Wdu4};;CcXVW-w1V80Wa_SXUD zE%^Jzs>yb`1N9;%Sb(fYllxFh=V1sniFzT?>;bRyo<6m+d6OWYrEEjgE3z1bq@OGc zRPW{Mo`dIBi_k}G_T9d0t)?9DLrP#w>A~a+^)&#?Brrt$smNDvV8g^u#INMd_}5>5 z0peY8KOjuQ-2Arkh-p;o%v@NVpROz4Wqc%SD8k_eV#6q1OB)*oh}H{=@kXl1q#M{o zR((iH5M;d93z;~+MjuQQ2&1pYYWxDb&imAZARANAZ~=tf4cR=b>LEaX2pWV!{d|nY zgTw3bzcN5`_lk^OMR+kHhXNP|(JWO0W?Ie3c^M#gMSXpJdK>(Em(lcE0kMSsi^Rcp zG56)LmGV_U19lF)%B+g#^e%MQ7i?Z#p~|xS?-#L5Yiu znjds|75J|Cj%|`;RxBC+imkx_0r$4WZ5Sa8Dv4l;#4R{IdK}-WB7LGU?wZmpBRp^i z4jrn(7lCi{GRj*ran9D(_Kd6RUN9hJ9y+A$WZdYHG_B)(Q@GOOCpTOCKDw?{X6v?X zhE8RfyC9@*X?8mmuIB4os;nRbPz_@gQNx@vL13UwJ=DY}rEZb5kl+u=T-=E4S6sQl=}iDzoR9*%U(ryBrl)Ua!+Mmt})ksRHd1 zo$^@cEChfrA;P`6whE#M8Q*!&NttR`=2tf#U5AQJ)KO^iR(1T~3k=slY6(iH&BTI@ z2NZbC>Jpjf@$l&5W#F?hT6o!GPAn?YV56l&!AoKXsB(ONGGC_gS(lA4--CVIpRFb# z9GE|`df_gmeCUZ6&I*L_Gf+s%}U&H#xh(+fRdjjs9A@nf+`t@&ZFT*;=1H*(-{aFMFArOj=A_-mrD}7XY z;&9q+aZnx@B)cE-_lL0$@MJM`!5^|dbTjd{$B^t;(=mxP{zK?NWQv1AAat6T@AmOX zMf;Q9;oh839@~NC2wvrOmzG+=TzovSy%0j|afw(&!x6iOPG0f2HSU(E;6m zJ~E%te6{IXUQe1}?@y?w@|?SsNRA$07|4nl$b2&#W+c1hSSq*X?2H@H#uJR2nPZDG zYOpWgzA*wTNb1nkVIXmE!dBiX!3~Ous?u-;P`q>6w)F$fyJtOLSisK z#%bjr`F+g{`fy%A!sI{D?AKSnN4f5lfpuCeeePOv|+gj749%V1c=p$42 z0SVl%VsXAZ=_GRu9Au-`9uWQSW_xlLwocnmNvMwOrDgM9wQbYq**VjkV`h@v0(kg* z(9i@%M-;x9x-=jZRYyO_!F`7Fo`fd4Wnm2X!y zSjg39Q~x^on%AMWO2o3=a?Qsxd?mw8Wk5XVsgd zej|U^9~h&_)a0c49VH*qBjDbXp4lDIcOA(Qu-x^6!P*Z(RmQddz&TS;T57}PtImDx z>$~UiS^oG#%25;6tj2U*Asm|Fy!o(B7HVtFs)S^8zU3lkW>;4iNxDM~sjhC``#FG4 zFfOiGb#;~hGjXPYCBepl{47o1ML&z3Xsp5w|N75aab@ZTNU%P9K8n)MG37>1W{gTr zXJ_ZjH*Z+b9-$n=P-2~^&0+?b?7$SsCqV5_LlL-3+D$W6FZ;uM+1#(4;Q?>nK?)KJ z+4!|PzOx!5vlhjkYj96OHih=s{q~V4PRTnMMPUht1Q`ne5f4RPN!F7f@*SY7dbElb z4dS=fY+j@wTjp({N36xFRr?PdV8ltd3RU9XA&HMXQ)bso&s)z4!UwKSwlajggdwk)*SuA>%Exkp}dL&4u41&rw>Pr>o1mx{!jt#vYuc|58}-CC_nGqwC3h7=RF{ zz-`H8ziSsC^l(84VnDqo&T}G3+t82$h}|bHacw@#eQd8 zS0-v1_OgLphCXQG&!1Na-=@TT`NSSP`t}lTw2!V>h+*am|Gwy8$W_T{<6n8bt}Rsl zBFd0QloRv<_Me{@*ejvZC6_G9Ct{8#i9khS7m82(M+;D-xXX8*3o?8((CS#8O}I2k z*@TRY#*7D>ctd&`Hw3)Ggaae}m*^dGc@l87#3^MdYFab(-#7udq$1crY z!8%25d=@$K7&s-U-31Pb^a|)jQ|17OkU@;#jMk%n;gG)qTNp2Hem45tzO^VJNdi0m z5kb`FX+x&iR|*DgQlTi}#GD3u20>BLOWbzQ*9YQ0$oEOrjM)q3j!O5bxByHO)ZEQB zXP64iE%g3-SuzHS@sTzjFe(uxDj!#Fv+Z9%S}~dD5YTLeElCpYiH-~%+nRoh!c*Lc z5!l!c11ckOaS1JxSAs%T%jlQ}j_Wnp+Cbjer+GrAg5dmlrGBb9jlt~di%kykZAn3x zLY}m>eMMz_eE&(urW6JYV`HM);d~R+OHW%q5AL4~nA`fxclP@OjJT9noA~ds#~7${ z_teKnILsNN4mOLns0E4CKmjJ6l^T(D)du@nJ6E_AakL6d;y(&B&EO0&k{@ z6FS>)SQ!X5f&PTBtuCl;19WeRi5B_o_B?oO;}xrNM0kNP!Rsvig;NGMtB{C@TC!9$ z{w_J<;7tgC%7+*cCx3R8boNkA|G5;gE!h)+!))BRac|ZQ4?vq-aG0D};&}|7_iB5) zvG-UN=Z_`N5Y<2|&5alkx;_q?P@q0EI$RzQGm~^YI-OcoG7- zLo%*f$E#N8eBpf~mqL<&!q0$V~R+~pB==hr80 zgtb;6jz9G=OXbDu0day{xcqeHQ0_aHi& zT8wfe)juABxb!bvSdJ|+lcS^Ms69RsJP^a)g8|=D6w*nt73ye9G9qu@T!D`YO%e}9 zP(mv#Ql17(s=6dqHqVAim*+RGdTZ#t0|kRM`(3vah#{=0BVN&EBa{H<_Y>+~m9ep2 zR|gVY<90urO6vn9m>>UH+#Dq#Dru4s98PA@$UDG+Urdj}POc1-^Lk;+rd650T8Gi)mbSK+P)#NSiJ|;)Jb>G% z#N7);ikdFN|Ewhz)$et~eSJb#ZqZTrIAmZigf}$p?d@0i{g4BJfrXDIkYP;(TUr;U zum{vY+LDmTaCcB-70~CkKfiWu`pG=OWDQ(coZpVT=(<*1`44SBVZedBsP^qQt#GcAF1!8XM;hwgojun;I`dLs zLxVu%Glso@G9ED_tI*56DSUf-H!r%_2ZCc&v!XU96+pq03U%9Io%| z&EYS+wR>?MSXTrxyeYz+N+R*G9x_|5Nz=H>j?bsWuo*1tRrofK7RnYTdBJUdd@d;@RpUbT zr1B~c3|Szl?BCqY%6yX~pn*7;=M1tcUivt#3Fp>dr8tbB*s>g+fBv<r$J&LIgttHa7Ld)DIBeMN8EB`3pVqkFoz=z$xkN zP_>fO>1U>YgcnU+V}QQ2JK{ zkG!U(rGXw^08ajUu(oJLd0@~p<&V4=V$j{<3;|gF>CZdD+p3?+L~k+(mB0uOejosL z!&X@IfUG#U9;3&jp@_K=^9hk0+pYwmihQ4B^7UZKAFq4^W-S79YBjc~WIV&?^@i$!8~9- zj#=Vy!=O>@GiUh3998yyH@7DVe@S&0L9?t)f}p;BP4H>P-B}+ChGQi~)&d@JeIYUQ zHy3S=s>`#gVyY-aonZTEV0p-IWD}!&XbF2khDW0`q$mtw0iE7vY*cyR%y@5{wP47y zl#7=7tGa+J5Scps_)RybaNwbQ*$J2GN{T2OaH#$@{rwlI`1Thb zQkh1%?+U#gxO0#-zn|3pt$SO&8^X?qh~ICbntpjD&M z@uUU!LHrC;Bi%LF14l~{0T;sKfw_W+hP>G}0(XUbYn(JKAI1G(E3b+-BiGxYDf9vu ziTm6fa0^)cKp+M^ps%Vk+5UrC(5rYi;x%v(^W%q$PH^nPD9uo97SY#;(6s>k{#q!C zW>y3~7!!x|1c`A?xEJ8Td0Ah7Fs~a&J-p@iO)0_e&WC!9(<is}OAdd*(HBb946)77*y9*(bS_5JMmsB%++C z9zhWK7qrHlTxB$t7=Dye{TX*8mYzc%@gla?Icr zGgae4`Yuvx7GgGxHOhE2F0Eekz*@+ih!2?Wgh56XC{oqR!u|`+tfs$v3+o%-PnPvF z!bCkUTwoq2wIBprr%DisM3Q3Bk)j2tEQHmG=;5G;Ktp>Gs-I2|T*RJUUSGh|QS9aq z!AYO;1B{f9w0T_A-wd2v#wkmLpAaWES@$4i`B1*C-MtMz2e7B*Fcj*>7{sPD)4vvx zt$nzU$?Rc-v#v&75vV{)87z*=_xBhItTp8s797cXA41pC7!XTO?=4BD|W6fqM$f?Q;970RHJ zx{At@nf4(Vox4c;D02JG2Kk2fR z%aJSEWb7;>l*_5{4Q>D6#$?%1AhvHf(U}8n0PEM z;+kC}z9RoyM{?xet54}u)$WEM@I=7gaEI=F_Mx+t=#8M#Tcy0=_Tq4E8Aqlp$#Y$+ zO?Yn1a$z>$|97PnYm->ilhv7zkcduHbA%xHN#=lu^T@ZKhg{+BQZA<2)ZpjQR2MgJ znhsr8@DTT*4aAM~+TVc$KcTEbl-Rq75QM>#1N*O^xT)#+A9({E5^XG8*M~EmJROFL z#_2XdV&363o5Gz@la2S+F+x0E{{c>V;(eEvUJX77@fenKiHOYx$pbwqskwyfb@*zx zpYa-Ji(^bt6pIds6F7brH)qNbA(p$?`(#9jiP8Dr|5Jipeiz8V+*s!4H$6L>$?XMm zP!P(w9=vSQ$AjQhtM>#v3)DjN`ew2yh-|rb3i1V_QJ_Wvn$`|1ap&N?CHPE$cO{m` zO&6mOWa!|W5Rx9>bP}`cuxsSbm*BL%?e*F)Lr=}p`T7B2f;Ush16+&McVz3ht({#T z=<*Z8fC7yl+p^+{bb(n6-;I<-(EOXjAD}Cgi!lhLi?fc2m@|$R5`icyiG~7#sZ;HF zG{DF?viIoHpP|MF{%*Z=#OS2<-(at`#8289x-SFav>uqRulqGWd!EHamoZZDYhCNrFEEwBGnNNWZAy-NVvfS zg@pF~^v0_uZVJm=_%Y%-9Z*+(+>Sy#l*EUk@krOXOG}Xu!k2(ANTE)Zqoi#KD+Y{N zgR6|9@B^z6m_dey;-#cuOA*s4%59vbH4#lG`VFiw$q!nfUTmV2??{A=po^1|azUXQ zw3pj+#)2MQE)%{i{@U?+?`(m8TbgN|lepi>l$h3i`}UC_Frt;F?aP4y4_mR|U0ycE z!&&YI_)f;sZXE~7YOEjVf)x!v$wfT*z`#KImB)xJ3m70iHIl6Yr+2_KqYg|l-9XCq^+iinIa*iooRC8m_o~qxyKjbs{0`zdxFt-X~Dx*Odd4<$$nNAmRGPK+~iY5 z`wY-R++h#KHU>a2g5&ubMs!ljD2&N`*VqRz1QQ_BM9QRaO9bEcjnd=Tw;Y&ldAzFz zD;8i^OFPGjejkr7{bJ`z%-;8iXfg%s(Ud{kXac{vq?-+uC+J8adxGv>w8p=U+Xx-R zAQz!z<2p>U5dMN9+0%%c;{#n1_!E#Kj2fxOd=0=Br{3Vyq4%R>SMP#X)C!Ct8KR4G zcilP>hfjxaucL24Z~=*ZepOvfODWC$*cyN9Rv)NrvPkO}ez%|sK zH2%kW6lJ2-%_%YvoeIXUc%q=Ycg83sK=8`m^P^}39@$tAHHca8%#Z)i#i8SwIgSrY zpr?}cxx#EKNCEw~*Z>UA7Kcv;07%DoTcW)RNA31_M*^HX$a>VPW83=(2exh>2cDD&=bNd2o9UwRqHYeYF07!#MUF{yu zsAtc%quhVcR1OnW;{$C0`D@3O0Dcf~kfD>@Zz%aUpq~Se064MPp}z#3KzS`Qh0mt~ zy1I3CGq&UBr_OiGYu2iT@hRUf?iUFZTgGJ5Bl0ioneq*5Lk;&fp3<==_5rX&KjJO` zjjvE!Yl7w%eV-5}w_}Z0ql`U%dht$VA4*r^4NDpzI5P5~*>T1_2gnL|ll$@S0LBE642>6VUcYrKPqLsdkW29L}{4+4$8Wn>S6uE% zp(<9xI)fEu6(x2gjRnUB@ryLggBrgKAPYWl7UkoO#K=T+_v0uV$&6hnA=DsTfx|_z zk?F9ub`7V6cK|MornB&7EknsrMHp7}APjsp1P9(yl&}e~b|4A@V85?zm-(T7L;IE6 zCCfqPA0in}8iQ#|+`>arL}2l^Yn7ViPzkg3%adshw_ld+Xwe79$ex_PQ;Q2Y&r z9Xm+aa4-~JXz*}!L%2|ZBMkowj(d1%Dskz+B}t=vm*L02K&tI0a1as{k)%-g|A>k% z!#70t5U3>ztbRRVqNnHPgkUpHx`2|NHvD+%4G-Mp@JU?;8w8A#hQh9)r^3~{aCXvA zf8Qot_^m4FKe)ZR=^)ss4}HNwuPd9}u;O2AL6`O;V62Wpr~0rL{*{iC=wMT3$oL9W zviTE4E9u-_O1tn8-3E>fip9`lIDvO8z4(HA!E;`Zin=$()w^D0 zW$kYf5y>^GE;?eXx}YcDCwi|zUw7j#N!z>bc{;{AQW7y4sokYSk3gDF;_ z&_RFSvKh<;x7UpQ)?ee-u$m;uC^D>srd?%MgHbyOOg0bWIr*UI^lA!oai#y`yWLGiI!+6Ip$;34 z6O!`8|2(uSYalWp-1$8a#PWuu9#WsiqKGgUdKkygk`S(~zxd?NxCkb|=NRba< z?cj(tUIJlfkuU?&dZUbtuCtVx4|a$Ows8UWOAmz9Rp7EH3XcNwXB9~%G+KA>nSnTP zt@2RpU4%xayuO~9Py=MBA=X_AB$;H>fdQi^5YW{)h&IG%$`BP54nDkodt`6|IVa5< zBvS1Di>|B$ZG`|Ct0=5VPIV0tcUaeR^tCmF&3W_EJ?LSKv=yAmlvRu-Z6jW~Q zg(xoi@ZXPJLohObf`W4d(AteC+(|bDWjGoR28iQefMk0vx^(Fukc7bJkYcj}$DkTJ z>7IcWC*gi3e&D4|TG#o_%T%D^RjF$(IZ)ZB%thk(85FQ>sqx!;i%B;9v06K;1u|?sHPU2 zK}q8#BEu&s5-v}q7d(UO_xO^YsMj0CLpvxJ|M|to5Ld60U^FlG3_x;=J&PAc#lPBt zN)r=)_hD9dYmV7fKu#fE7$||Lh%K`H;4?}z%Q^!mneffFj6dc;R1jga$YfiGHewIH zbt|i7NBL54F}@HrzOM`1mspHuc3bk4za9*;KNeQUEL&Fm&(l&}iUb`Fu-^)#KToa^ zQr=)2WFI7OR=!K0ddzlmoB?`jf?{TVs%%LOXP$ZlpLhnbQeHV_?I3kg6}HF9#y^bxe_cj9E|$MHfr74#)@WP z^VpoYpaz@o{Mi1O3y>lNq8H9|YBY>Q1)y?Q$NuxCz^+wzhl<65)Y&1QV;#9EX-!QF zz?A2i8D@>f%C_Oa#Ge$u0Gttci&ZlhSF9xp?E=00I^XoXM>@ z$%3EcWo7pw_rrcn=b5VwG|2~SPHSq0ruW0L&rM+x4iglYlH(;r*@V+~Zz9}t>&V<- z=&PE)I%M`IA?X{vy#801kp$VK^P)iavG@YiVh5{fad@)ub%^ z?Hv#Y!;@w7|GWfUuLt+;(czeY{`w0#bIKp(80q#=G#cDAL0d>bXV};SUm2ndZ^lw>FoFrMi4!8q$@ zp0$zXh7t`afPc^SD<3IaiU6=vSyeRw zqZbVx_K5uRvS#DH4Gmd=RRq(Y&h>k2tOAdqHwjGeFayjG?LG%QCLPcA9 z6$xE{no>S)xH2qJl$dv(zk<6Yz^Gs9g zJZK4+XFM!EKAw&419UQfK(9Kze1cK}!Wx6&@HWDOM_^Y+;CTB&IDC9Bc_pJGwJ(so zMLY)^MwTDeOKE;-x~y2=@Jy8aKMyoTFIh(n9;OiVPFM0t-wCi>+1JygS^W^YG&0_u z4DKfE6(~e$dHG;r4YD0Ntk(;fwA+D*o^4`Lj}-ohiF=J^qkEo!COEc!>V<$<08tz+b8Z z2tICO6O76!JvjdS`Sa6|>5$J0UR7B#?j@WeSPuAll|;CXS@HxAN1IEO)$B~cMN0%O zzkQn@@qY}0WufR%O4IdHLtmd2)(FhX%KAo!oOY)~459)k&9U1H0V@&cnmA{+BZfyB z!#$udznYKq3vXBr?Ey@ObgxZ*_7^HjJ2d1GXaZ&X7s?4@u3)8|QgYltECwron17*) zzxYpXpT%GQck-49Va0yyD9Bnb2NONg%iK5}t5RRX9Wsxv~ap=Hs3(T2t! z&Wh#K7PIHpJpuo_@vwY4pDr!a zGySi=i#M)i>JzGObad1om^4nbMlvMPIFABREb*aXbCzR_0uH!;ZpA+<5jGQ&_W`+b zIOn8gWSWM$u%O%^1OnIF=4obR#0l!X1_%-8a?$Fg*>UG8tHx*Fl^rG)HI3#t>lZ~PT%bM4ytq5T+F}THZpA6bj|qRmE4TnJFHO3ABY** zL1uN1mX`j|++>E|x^;`L)_E=u+7P)@?W-X-y{MN#PszbFg4%(eB2Wi-JMiVSz*Hy- z%;DNw*$Xp+cM$4c%IHCp3=ulSN9$sWf%q6?^oL))x_0C}mb1d*VX6mbXfK2?+yoCn z?b@~J6T@O|Bq+%i7LPrak@~Z|nF}9oJ+y)Qp9DK^Yo_-HgJK1Jgw2qbjeGWZD2>!V zw^P&3Mqt~ZTl=#2b>U6Cgy+KsWTPD*aUj+-6p3mm_nhIq^))S{Rn5O>{#)m=Z0R@{&D|Q$p@Ipv>jMG%}c$H{wRLR>J=3gMZ%1! znOm13tSE<2&!47jQtR6TC_g6Df6bp9h}j-W3>arkbF@zWH6xV+?!hX_1L^XEwo3P3&0 z#k|7eSFx{Y!ry0t-G8h4P%?}izmiPcgE-*txC&_AAdThHGpn6wF5YZ?QlRc|m-(|7N z3)gZ4Hs4*;R+!x&>G~P#h+r64q++h`AmBm#Nak2VNXQBnR#qAc&;Tj&@*P?>xs(X@ zT1b{{)FI5)kOI(KxKJ|6f7Qb9J8o+e`f}g`+QA`j%12fOk`9 zOT}P6>{XPI_W55|&R)=ah{d&!o`T6QX13t6I2Sz1*F*|&*g-y^M( zD3u6FWUoj{Ng*m(5-rc`%$PZz-|;-h@%;7tb~0mSO9bRM_(Ka&B&($&oCs~j4}APFxlUQRT5Hz0{>A$H)!^XJ!MqDKg;p@?{H z(8@Q*`c~rb_b0ZbfUEi)^>SEDt??5ksQKIx1APMFT=*}j;V~56Kc_$#4tNO*g`r2Z z%a?i(r8npVpd8u^CuH-!mnniTI<8bv8QXT&mX1RCg9%LIyq|ygixuYh{b#y*5URL;~)y zZ_0bEp~&!x@MPRq2A2|i-T~fNC{gcWQ6U`J_SB8Fn>KAKToPr~F7>)pW*a~v!~)~o zmci~HC}2dlB<~(&*BEHd0mJ5{U06&HeEV;D^`|$LCwwsK1pcFpc zw~}qxDc$?_{1a1?Ng1e-iK*8K=`sWZS0joXt{JPXZV-2F?sd7@%KPetV;^cLD#Mx0 zxSp1FIl*xU3JQY2)^d0Sr)sDIgiZuCc%D7mT{(u9Nc1V#7wqKsS*9w*n%j^$t`JQZ ziAq_+Ztetw09B8dr2;%S<6r@NEkZeO$(_7`>7BRBOQw|B`_*RAd`rt>y^YbHl~MQa z-tA%Up4EGrg+;7U)!8d-RU{Sza1wQBcsUdME)R5ca1eut@U$o6EG#q6SE36)fBrlNWC+P(8IV(7*p#*$&X}JoQ=@N}F=>x77Ub#; z0es=I4r#@u=;dGP241HocT;CN+Bi)1F91dhqq5)%AwxZ?QnkmI)U-IKax z#s?1{USlxUD6KCIv#qbF&isw;&6+v$Y|vsR|DnoHkbT8Ml=#t*(by@a7~80j#B*8C zc1TNG=0ST5r6GOdqnqQ0w9Xo~^{3xz*hc$z#;jHHn1hXDo?@-2K|?ueb49*|XyEDU zV75CA&KSe{cd7&F@!Gmh^?dUw4XlrNUoKv)(`oATa|S2$k57K<9dw&mdLvZ(;NRsx ztD=7q(3^ED=%XM?9&so?KmQd2AP-$egwW$*LQyVcu*2yRKRSj+Dbaf7!U8K$$%+D3 z?ENz0nCG>8p$K7HnQN>K*dI-kWTam`g?XeY`ztdmE2h71TZu;UI#(I8pQkf*(BG(S z%k}4h6TP*y<5A5BtD{_n|L`P72_M6B&9Mk8QjkVgF|~r>?{UzT+X}Dzn0Tm8&6HDb8{+=W@U`wS2U@jm{il}CNlpvId9b1JvTMP`BH5t1XPpwb znPj{*BTB>!((Q&@oUkB?l(6O1+V)YBd?gsPQdPCY_9Xi|;Rdz%IlC-z+A5)DIfWh~$bZf7_j{`slZ%7;gy?rnTIS)Q@yC zz_=MHvJH=e%)1UtzK$z0uF^2!30kNXBD8vdlmY^%zLvkksNj$94~zq6s8G)<#U3%w($ca? z2N0x6apj{06mc`Itkzvq=HUsk{-9GT!(u8h%r{OisLZKK+OrnxRO|BdJZki0pc5a- zY0r!T!F86OE_j(n*!|fTmw}SBr%%V8K7BfSHG#}BSpWDgv>0l^GiT2pM_jlWtcT#v z+wsTyu=}TA5dyZMtu>gc;XM`mB_r6(@a<3fmoug?)$8{B>}Ud+MxpT>DpSjJMnKzQ zK{X}6@M&hIMS3dTt)N04X~F#YV;O>(Rem7j;?minHpw9t7I%{`=w?T`o6j^0h_}V(|)mbglxpoz8 z`@mK2_QZ!v)lv0*Z{E5!59mPqLS-J=uAg)sfmqpSDc+EdLJLg^q|&fgS08Cq&Mr4G zwSD6E_du;hc}kA$JCivy|ENgKL+^KIKAeN&Qr=|BZRnCBHqi+h_&4u8N9kEs8{-6jfLpN zA52m;^0yj_Oo3|;;P%n$;FtazqLGeWg)jL?4{IKWL@szFdDlj_Z0`Y!e0tJRX*K(= zkFF&y(mRMPT00IOIwUthR!wS?Uf~tDlrJOPpJSHJyKu{<3)3-whkfaYj{_aTF%Xo; zLqc{^&Wf;^F2}#``g4Z{^bYm2RQ*|SE~&0Y zezIPHU{LHz==?R0T8MPo4%Qqd<~SrSC4)z(cQoEDO$DVc@_&7RRv_*qYWE-rT;YKx zcV?CYx)s__`aPC`K$RP3L{oQf%riyC+ z^6DBRz0^g`M@z~wkP2xa`kBAIqbYZ9F`IZJGBmUgrWDl_Dj-?=fSjb;w`I}>tNFih zXMn>V>s6ERMO!NyRd2jFJ{_Cg5#Mz#w%zPyOk?PijCU9B^W0n z0Iq?GK~W-28)9!Dz48TEKDU$k4RFx{~Wxac+5%&VrA%GYj>;|A*#($~= z;vZD&&C*#^&#{_Fa~W4}g~4{t^2m5yuEwM-y<^}coJs0B{#EACptAJ7hf(#X{AsQj zpOjyyMxbRDh$-A@ts#GJ(vOo1BQDrxn!k$4&CQ(w2}8x%x}b?l`MQ5ON28h(yrV^? z&S+#s*{4ZNTEjckAMW1#19!#rCNL|*IZ!GTBAj-H*jq|uJUGB+0~16_X^@Hx{qe?x z&fpQH)VL8wK-ftU>VH97`UEICm#-_m2<>51 zYDU__rfGQ3;C5(KNYigT1%L>xq%yL`&5c9>BbQ(BK*f9bw1nBhwDIK^JvdfvO_{^*Y3rk@ zGRXA(`VX^Z!5PhHl2=PD1hXYt)HOTC>dTFbesoNkN8CnIA!2o)4jV&>39j6TdT&%< zA5?iVS_<)Z6Y4-wXgytrraeZV;^R;N$mvI?*Q)hWney!Ve}v!x{fyM>FRJr5iZ@{j zEazQ-Uwes6-ttv=YE1j$%aM_Dfj=kCNZpi$xkfN|cC-Y9m^fPyWEkbx6sk62!yG!Y z*;sitq+-$dy5j!+eq%asD!^8eG3fYRKAZfuiCkbvKxqG8T7W9vzrzJ2Npm2QWjcnb z`v>7R(`DrGb70RvyM)1w{3Z8ch^Z{EID!#M)Io`!=Ea|{MSDJEMMYMxvC zxXbTtw8t-vMkVzP0`|fz@%a~pj8S~6;wCEI4St0y5IvK55}Tw6vV0;#`1A_QimQmwbAjxZ;l!XA=S&fRbY($6K6Q7U=cqq2beFbxD}j_awtYr?N&KfKCvh>H3HmrF&AacM2SWb=q62dA6urJl>JK(V{?tm`?)L`N6Nj9yHedHaUT7n=qU+N zSou`xNW`y)lEmlR4n&=6=(y~vES1S4Nb4<*Z;}IA;v==iObFq&2lwrp!$`7_QDCW4 zU!t0-Jk(qFt1aT~>ZLxHe=Tl$N)^qHo|P_ka&C&h@wm^vJ<}h(G^524LuUdi(+=J^ zsNfP8#{;@CQzv|+$@lR(TOcKB6#JpNVyMH#Txocm8*JDza2>XM1PVS zY4t~psHPD9zk#lm;TM*4>~!MM%?T+#)0AJjxQ~)9m7M9J)VNKM)IS_3dQ&KE84;1v z0=Lh$XlUwrR)@gVEh{T4LI7MbsqoYHcpGUsfDY`qV>sIBV|8NQEeKik%V$1TfFb5` z*=%+?Ek;C+(oecn4Yaz3bpr>nziG~YSbFw7@H;=t( zzjEabHo(ltaU+f5&yA|_^Kg0F&~IT!H2zQvuz$k-h`NCoJRyc?sAy#I96J(+czAf+ zJu>u%hf6QyS)j%uG1FZU$FN23d70v4$x_^IbWCk}&>2N&c*3RwKmXaz))!&fXx>c*IP=kv2vB726 z;Df9`iE^IlxjDd{H_tEi0xDHgXj5UX+K=tUg=4j+O?!Ol`=OB|Ki{|9%ITB8z8?dz z1JuKm5XgHx04P3;7OICu$;25P=Sz zoDm{KX4GoamKSj%K!dlG5af=Wi8t2Gtrz+#Q!qsY->D5ODmA zKf|2(6T{h7qap&R18H=Vy<5``8Nujdi(ck|4i;q5aQD$nU^S~(t7@`RWdDjRrovUd zb-*8{v@$aQs7e^o z`}M#N>rBw{nFsrA`Kmu)o~e*|LK zNV>GT$^56Zd;L^`X0K-G3r7v#l)@7$?`U>$fL4gnFap134n&66gLFZ@8q9qNUZ z3d%+6Pr;^<)sac7oWO#t0S9h0r?H58iNuRfO2W-*XHV}cp@@5moz%di)T0c3n&qeh zUSPn%ucPyKU9?NEVT1*IKD^8B#jD_2ynFup&J(vYdLjZf;E!?CLJ$pUr8S*f%O%j9 zLfl7An{ zX}V&oKPBm4wsFF5C6uQYMd;imOSWMoakl13)Fx8rv)xWNK{cFJkbm%?bchMRlovg| zno-u!;ZJj-t8t;Bl?dk%j0YHXqBg**SW=@8pt^d~YW9>&isN}GP}%_u}^ljj|MLAIBc zHb7uX>-&j`YhecC?=Q2pZ3NK-wnc|lS_DkO0_pJ5mYX&WQ~uTO6vptv#neMlP<%>* z49P&tR1}B{@9z6cB&eZ%=EV!wr8?q)m^3heK|q|=ntO}-(1bs8UR#uK(i4GddGgI2 zx6(Ksx(}w7G92AG{R`2JClNNO4~B!1_NpuB4Mb5d+z|U`lzScOD3i0fH~{pZzH2Sm zd&Mu3<3!0`{o`vu8RBd$HY^DtYiS-uCJrG$OSgwwlTF@DM&l+L6<=w;HU*Cv>`=sU z6v;$gY6+x74BoWh%T0CN3H8FInd9eKm@6{JK-xnQHA}?tmQ~x4N)qpz?exdgINFLB ztjOxZO+wsXCHvZA!^0#%HbTqPZ@*KE6W-=BJUd1AR{MXrqtE6vc^ivXoH<)bXv5tT zW=15(j?KC)u?EVJ=6G~V)|A=7RK>`=eag{*t9*rz&}p5hZNM}xuYOdagcc3{(adFR*}7E>06~1g zeW@e@EDP@>C3&J(T)A?kQQCl3ZQ8t|;Ngmhxts4_VP_D`swoIy8dnQJdV;hsl)-uw zpA+vQY#fR+<5ti&tlg|_Q4tYy;ESE;6+WHZAi?&|IoFb9@I%(6OB<^^+_>q#m40M& zTPCQylkV0d*UtsK3JZ;N15sROu}lS|+ydlC6eYd{#hFPzc1L2GBF%7$1|i0K%4pGA zn)9@akN0lMMdR{)D@(TDelLU_cD;ie#PgJq9AU>#RP_WE4@1rMNt~k4fW# z7Rz>Hty!0rzJQCRFV-H3vTah};_6yMq3w0@ymMQ=gU5g0A)oIcibE+xp~>j!Ejm=< z(%BXiBkecLg2fgTh@g7iOqmSBgb^Uu!*eH?dG=snGJ)WFYU=a_Lr}?JJEf7e45Ii+ zoLR?M-w|08p4Ef?h)T&?hK3mKmNIwh(pN~=H8Owgy(#-wQ7=|;pA49Pi&qN)f+B7i zHMkZ_;^gAesY{p97e;quP^(7EmOhpvGN?Ah#SYnzxG@+9AEt85T>WYLKwGQ_$h%=In;7})PcD9vMm4R z^#zGAwI5OFoy1*0m?Hl8T%@hRT;5%cZ@3C}9cVc9nNtHr81`_xmdcgy?=)#9Z?;0y zdpW_-90OXBIPmhM;u14Nz_hn6yS7)~^q~~{a;aq83rMawG*w72#erZS?T}#*AU1(H z3nEw`&(O91DDV=u@x1eZaa_FPzInw~|C|_dG8?oHS2YV;+&fu#nVlUras^5J7gkB! z`>c&`&t{XC$bh;uZ>kOsCGE^;$Lc0TTsgHA?Y;Zm zY!q}Q_yf7+O%kZT8cl2n45OK6{B}9QMM0h}l;yJicVnNulbEP4Zqs_R0Tm)6!KO~* z6I{hw{zn%5aFuzUBQnJ79g)6AMd_JDH-fd$$XvJus5W{ZwWv+8hPUCHH)R%i*XdM< z*oS^dHwQOfB&wXce3M5`L)l>zM`VA$R$)lj*i|=mWq~xV{z}9~?-;}mIzMx!lT*a3 zi26B~2F$=p4xrgFUJMqfMHxCdhLTl&Nm>kvV~*3*Gy9KM!dt-2ogus)y^$L^#J8+_D;C`Di%XcRr+ zam$-q1_CaSU_2?fpO7$|fCWP4!i+hVmM6Z1RZH@Y7W(1Ms()kMRFczBdtj<bywP;NsqBn=}{A>y9C00Q&6yB|h zFXC+0*5>h%EO02~>loHS+2kInoI`Rb6O_sm{R{>zFd_V~T|a}KOMqt-Fk9Si;ZefP z^Om+I(bBE0+PecoiVmXprH{;mV0^k3;sXpTz0t2pZ83MtX8BK;U1!zg!qCn6!izAZdFoi=OfQkTsIoy&<-@0silc|j}>?8MDCp;Sb`{B11 z)pO>ak16vLsOu&pUflGF9DS0(x^GN0+T%pJ{l1X1_&RsJ*I}rO`VIWWl}Xy-p*>oisYvS~^<*3$5g+J(;IhCxRQ* z4RBkt{=e^|4qr~I6>{ZYC_Rpc40?f+`Ufwyv|LNuB^y#-cs;Vbaqyk_xN^gVj4ZOj zB!{mnROX4Ug~+soo<^HAJRR&@$JVy+QrVM{MyixjU3Zk``wVOL@22fg!iUj$6u(s} z!N`OGaHd<}NyOt+wmITglST{v~(#2sm6LLCJ* z7;gRa-0^`0IEAH!RSh13PRw1n&MWZ{Nop)CfbHj*o8M$UJUyY!$NUl=>k;(s4YBau z65XqNcZ0k1o;1If1)#Kuyuv4Q+nze(t(!uTXni>BmeQ!M z=0797Z??;*9>q5^a?+%dmcGD0(R5_Yo_w1iKD~+t0L_E5Xq+4wDD6h9KZV#71OqVof;|4LmC#>Xh;wXJG+nWq+xc{ z?Q3h0Q!Pa>4gIE%m5XB-ppuarbYzhu0qFW7@zA|B1R|OOUlYW14g=h0+ zBl=NLu}f>vQzabpp9J6>9YAV4c)iL??mN^CnAm6@o5`)*^Qbn*PMWlF>e-Qa28$!F z$aDz4>356Gy1l4wNfFOqE*6xMW0=K!{QYPNO#Jxoc*~uF^}+K=-%H(K%g&uX+&ZML zU^{*|=jF@EOQJRqsi{e=v@&YG+q%D7+3X5ZErjugsn$se1ooP1G*S8W?!)t>FymRi!+U%z@{( zR<0Oc@XK!k8E)(w-({V;!M-8R=UZu(-4k^@QRiclPUfaiRw9dvS5?PoHUO9s?YAob zXOW%tjP2P;W2v;-ZUGnE16pV@f1T|F2}BJ2E8dy58Ag(Hq6aB2ueDY`{`i*`U|k*J zc{lrVnXrSDel@_&%?+u|v_q9BG;E9CX$VPa52>2r(r#%P0_|)kibdi%vAd7ayO^Uke7O5{rw5u*_>QhVB?$T&4K=8y*DF?8ePx~uA!T&smQ0Y3;{AF+*rf1D3SCZ_{0 z#HR~vT0@chf0$me1VK4Ln6D{&*PmCRlp3!hK|&*~OFO-Uiseruqdk6&wcfLuLR`sJ z3CG|d8F2H+FWk1tP?mY_{P{J-_HPuYE~SJO+>%*?akv2$qaNf_npNSJsqfQ~zLm#* zEf|vE|L$ImZZ>wf?&u`ZsIb}*?pKB4vn@m=#xog6%)2ZqHEQxHp8Pncbos4?# z?3p76V6M8%Z1RShQV)^2fmd7m8!FGN1A@*co6LUg6I-^x_oH5E&hE0;y*$n~I{-2t zkayV8yy4K#4>&OW3?5M|mA#$hVYpqjV*Q49r;#s~ez5g8s6O-DoIjVvd`ZzbI+*;W z@49p7SHDNP<9rs4HPL(J@T|yTfk|^kuOxlNGs~?#O}>9h^6lV|ZhuQ$M&;S2;o3tU z;I@t4EzObvwlCvk~EtT zdPN-xN)xv5Apu9cbs6ZohO`r#b!XQf6BDaySk4-u-@* z7KQ50DapN@_BNRBqt!a>xRH_3eDnkXWu>Q=UVPRC_efW;oex@-esq>Bb|77hYub=e z!*O(_R%CDPdOA9K^}3YUJ-zOy9G=7w=$decd%Af>x;bWC*fC2tXV-}3`9YT!vP-7Me*WG~79;s{ss1zvVdzhG8*GavjVMjtV|E|N8mA5_!h`Xk?r1@L5){*QlWw z#qWltozEfmycN3p6w#&iV234Nxhpo=z2Vi|0QiPSg=YhTFZ&zj^&EWN0SIe6$O_G; z=hxh_o0F0L&bqi{KZCr3Ck^>HGWY&bdF)dxvccZKldkuNmIQu`xZ}Ri_(ij2NPlfs zx6^1^R9#WdO-$*+Q=p|~lT32|xYeSWxn{3k_leLJZ>MDX&bqYhF!i)AyqspcF!+$S zKp39=kYNa`^vd(=PLHxz>2}u}c&C(`eU0Jbpn*V-yAub0xRB2T%OJBWlsc}JD(1|Rp zEHAl_>a<>duGWiV%O-F^dWcfgdu!(Fxlm5O_K zUW?|It!Tn=i3_H71O@8PAcXs2oJfnvr>uj1oQO;aDone3IM*|ss>^9{OP z(Y9FG^T+hH+7rqZ#!HPCFwry55 zLWw^XPSdML=~_t~vR&qG|HLkhCQ9k@{`)bB_r=a}$*{^ZY}Uy=p@Lt(Ik_|V!scf> z+dJqDizW7lm1MYD5%}*hgnpE0(5&KR<9P8d)G(FBcZ^F3cmEa(KMLY@yvC4%?}Toxw~^%857lS<9zf1a|yS* z9zE3aQhHx{GH3b52eg+S=z7HIgxx&}vnO{9vc8^vbuEbi+~f9x1bmwFnI0xs`;c&d5p z0oFzUkljZs%kn%|_`Fbd`~MSxO!{kH1b@Cw3(v3jW72{C-4Ql8Lcx0>99zJp6nA7V zlcv;fUwppoAe%nyQHSz7E?J%}i}NiiFF&%${M{K{z-v>-7pri4o9op%|0`y#VY&pU z)Kd4q-hE)HOixyjPuzxmd%2F0e(P{I+skiH58=feG@JbFl)-MKUp=BeTzqc*W7(w_ z4y|>TnM$GzzmgFgRUoI{imhe7_$YU}MVEhl&Ld993TM@WzYK`IQ!|=`7#LQg(U9IG z4bAn@D68(m82Px?lt~@$wL58)E}&>4y%GP8hTR*aNq^{m(4~w6uvj5QE|)S~Y<#z; zdNuErx=S6#^d8owD=^p&`Q%nT*@DEooR}N4M8mqiL*p>UdfWsn=PIZN#z&MCw+3Xm(M*J zzA7};-1RkS@Gw9CjD$xk`#i`fO`gc`wV znybsv+w>aZ&J@)Ty z-KJ(uPv-|b_eb-u$Dx@#570HtTE-{(xVHU<%qGdq@kMx?osI!a+DRO*llDjViZ0UM zG3cEiB17B5g^kvH$s-$eTOTEN{S^dvuEK-)$$!;pzYlGpR?A{Kse`FHCsNPvbsgeD zY$}Dk`;;=<_VtD~%M$p(h_nGckPt>ZDlutR%$7DzsDExh0+uNg2WG90`xsmPJa%cE zwZG0d^wP??KcmT1+$}oI_qD2^7ii%eep%3kVTBC`zu%?u$LLcWOwUxwJ3vxx2Egu; z!1mU+q6RtCq3mUyfWWMScLucO%KNue72hw9QcPY3gj`AF1s&m;hjNj$ttxY3Jug1( z)Vz7~{X<Uv~BKQ-Vi;GKy3AlGuRIvQ~h@6t@a1e zhn+VZ(4&Df!{kR{qt2i}$j`c`%-D}+#d>>O8mXiU$Nl-5=5A3{+4$+PlmR(h59t5~ z-y^%#U@9#moeZZx$TvaD8_2WZmE9}7*3;koRf|%%Uav;&-^T)%bo7lg&8u_qm7*O1 zZFPohV$-%5ndx9~-)$n{ZgoPIGhFD3yM1mg@%jO4y?5C$Z8C{$afTA@>EG-s^r-wn z#czg5<$jq-MwEB(@)PSxSL-Xv)zP8;yGq!ew-@-BnY@W&o97T?Zr5sQI{7!p-8q2D zq{zG@Q4ekEtV!}-(-Oe9ec=TC4BN{9xZ*;RLz@62#jl0+l6OET$Pfg|lRazZTm9<7`%N0~ z3zsyZ(4I(6?90AZH^7l!!qyTFcO-f7F&aVr%yte>)j(R~`D7hqx*9Y4u9NRMA^TuI zXWNLZ4f4|lUU#&jdc>9{+17KDEkhGHhiUdS_3-Lfa}$5BTH~{Rm(pE1 zOi_TLh46l$HZ$#oo0W6VnpEZMnN5qUUrn5Og7mc}DUE-*_u#V2XYItyZYb$5fu@Yk zTw~>&bMLBeVx6TETRK4tv(31V0utrr46xo8Rr9K&k4G(jiC+s~i`l;0QD0JK=W%!% z7gR4gY*kyTu;fIL{NEfPUpCso%gvOhIaM*1f3wGGCO@Dk{@tt2r!ss%X8}vf%h^yf zJxIY@ybVjWtG=;P6f~6vh3rk-kX%YWx zv5{ZA+9tXvuKrs%stl)B+tm$7d2)n!wNi?aXBHf{C8ZWW&#chqExs^%9XF^dk@0aw zKQb$a3F-=|mfu%=$tR2`aMekss{ISVPjg5?Q z==9t}SwbCKdeo*_L6_UHWp`pvp`ey}&izY(#nNLMbFcT2*Q>0twqbtoEt}neuZz>F z&H(Gc($(=?NOKBg)?HKc4jr80m_j$(8b0+J$!5Jb_0n7%J6W+TS0tu zN9+v8j~aDz(DngHQq&E|9I0a#pL_Tu?TKtJC11)WfpzA*gy`Z#&HV%IEhW$hhH`x$ zI!01)Tf3{(BQ`+}*`8Cf&%V#p!)(YRhoQgbtEvE=UZxiN!_6aM%_ zG5s2}XmMtZBy0W&!cz4sqWL2HbXy;oR#*Lu&K;jQYv%usOfP=Vxt-HY^ z?33i&86P+sahj5Er+CL1czINOI@-Nw&m_qi+(U+rL0wQu1%rU6d13o?SLD{aB|hj9 zC#ZJSS`T$uN%`Z=Jkl`Uqn)I;KXwjT9=`KB4asxoPQMe39EAlE@sdabD^i zx+jJ@NwXdf#dcB?+_{TEhcPtArHcavzI|o3sI9}(xr?7)3|i1H^ddS`sTz|6X)%q&DU)BM3pgZLmv%eyF#a} z^6IhQx0Hhta`9_sd4Z#Zcdz-(X#FfY+&;A*11vfmNPQl56iN)E^m$pL{|W; ztFU|L${eRyqg>r`wo=UUWDVp7cvF40jafx(W1i>uA;gA%bm&?HpAoz zJ)-)L;Co1=wte{v;msmHKN>gvTZYc{2b5HYXzo^3x`PWSG6g@7t=a`NSf_KrwJ=7< z$IRiG#t*!6x=E(xT53dOL>{j~(RjJ|fGuV6Z<& zK|%uj+U_$)Tr`AXqE`PK{Ly`5dlx@DAKM010pF-;uPfgykH;_^xa5hA1@)kF?tZIB zjD$<#=RDr|vR}v6T!KX0N2w}dJ=M4n)*|Z=`5k|e?!vS{q|JQen%Mo!{AnSbO2dwp z_aM(E01D0gF0q?wP~V5vGWyMz{@5WHIcv{(%>KnbV3r_N-rVX!*UWJQS}A@Zu})*P zghuGT)YV|;*+;6)=vswu{c1B0VY+xiYKMxVjR8aRfaUjFP;Mn2t<&CVPWY?$?5;>o z>GbD?#Qmh7tTm-tK}<=8_cCQVCsAQc#N!yMP8l5_Sb2k zdcl2b%^B5xzK!M24|A*hkr^^IRyf!+UV6py zLecjT8hZu?AgX$Lh(NR$Si%KO2cdq3Qo76&5cOr+z@o!l1#+&jJ^}vo{7R{w>T<}x z$E9jJsJLOI*5&kN_VcPc z)@iqLvM=0EVT{m@i>b)mi+3N*5n3^=WrM~)m$J>B+R>=0LmqvPY;#9v#7p0UK|%MT zoj=w4u;6;es!;8t-jt50u3Reg-Y5zX_&4@dA>zIlsXbd4ffWIhgtZbnp*$d9;ty8 z|IMs@P942(e`b9P47+Ct_UaPocb`>J`<#@PJ67nVFb9(EZKvjVab`*NptR)7c3FmP3Iz+aZbs zQvlq-b0-ofk`(oS&=)fQuDL*&UAODolnmrrYag5JE@k^ws;xe${3v6bjHRD`I;RxVR!}5-}E@WxjoVrMq zEUPGq?bQ~r`$9K+(;vm4)@BPo$xqAce#~(rNuPdD^7okbGZ!Z~$G5g>mL^S=idT9S ze~__zroRI0^h1IUVhVh;&*mNHdm;pMU!s_PjD_15W5x!LP`M01A~gQ|{4QVM&@ZHy za%Hw2@p5f=aO-1!asAk3%H$82({_Z} zv^+vC2yg#tZGEi-A>Mc`y-Lh!2i9+MjJtqEL13&JcH%@QS;!+U@6KwZ+CQG4<4b2a zpzWuZ>ly_=dQ_iKb34YXE@M)FNiMaVPw}scKXEHJ;U6-2bRpS zfBXBZ*~=mqgu8JBcMCln@VleW4qaAG%8Y>bsjyPfALH9BPP_0{HTjTwOS6?z&~9By ztlGUa+orcF=py6+7rh>Y;vfbNkv9h5uJ8EQD$A-$dv*QshX(dx(u0|GON|Bj^;Y=vfJ~M7D~O!t*T=2S2eZ z>D@XFU8*RxpBjw((`eAe0I9{ve|gvHbht}#Qw%Bahu8w~?w7~a?RtvXD>ZAOdr1_# zTGJresz@v5mXOJaLGD3G9%Ow7fE09#uGUyVS0Hy=zk7bgdA%tErF=pBn8e;aBo!z` zbm_yL?t6r^q*lHMi974HYn>UbtG0j9;S0m`m#mqPRK>OksZbS>C_H}h28z+om`I2> ztcoDux1V*V;(zu82WiU$vzoHG6q|chEXx1W5B?wggyMJlUkc;@`=|ZC{}Q7hb-ia# zMpb=_|NYnhR^Wdt@V^!K-wOQywgOA0RyG>(Y3rq^k=G05Lk&hv92u-XXYKz5N)A-G literal 226412 zcmeFZbyQVt_b$9?X#@pnP(qLn=|)0IL8U{GmX>Z51QC#yMnnZE=?(=!K)Sn2x0_tBycmxFHZ| z#+NYRH)C<{w%`Y*v68$j{DeQpGS$BD1KVCf+X;c7eu?}>iCEY+MIh)9in3A<+>+NO z+`S$QOdM@@DMu+P+{`J$3C6v|nogQ$>|m|0WL>KBq01!4xm+S|bX12nt&DZwvXtXt zPFY#mJpsMZj0g5CukM6CLYEyGe?$G^OCaOe*%^1jwkl5ooK1Rb*QYjrJi&8AXsYtC zv+20Aa>h5$KpyP}bvbXyi#dWO@VA4PC@a?fsWP7V4i{5i|-2fpf_QJtUN zIdr+FA55=S66Q_d98OP^`xn&{#!d`>b718AfK~8!EmD+U^go%`o5dcB>!+@G?G`aJ z&~ST}qdI7G8Z0v(5kG89b z8&<}iFOG&=DE)bi3{-~K{#=4Ec8lTZEf{wpZ z*U(r5b)1y7I%=(%KkiQ;TE;mO~MveojVv=F4H8039${*iCYn%PaB z@7~n+cSZ8$(q3;8r}M7wUwb(4N}@11?atW9wX2_pB~axZ1dIz8WOwl<$+ z;joJb^Dk8MS4AfpL3r%A6GT_Ymq^!i?Rv!54XFsm+%&U9HLB!wKS?k#; zIKp!5{iCNdZx1`Ayhd(fzOovOM@uRiW=^J}joS^T_=^5FS4Q8nm(m>4P2MOI7g3nf zEsOd6(lu-1efc|sZ>0mOKL#J2@MlJ|pp5r!ONnAvbL|PHxkXIm__c>b(4Go&U3r`K zF14KCktG0a!v@NKPy!#|F9vTd+wb|F0%$|>AM+{ zQ61|hP5o5|#xF09h%h8BiCwVmyE3h#*Qm@zRoi?xSj|&As)hxJclYyY<{ACGL&4Dz&T5qer`m9!}O)`RhgDa3CyYJbsLp*C6Ni6n9j zjTaFnWfE8RF6D7{JZ1|s3())%fa?QkGOM2uXij>*Ci5>cW*lC&nDv+m z(kFKaej9P)D>?7LY+FQ;AQ1Cmk>~!4erZCUm(`9K<23!n!-joLET%@I<51QpM-3ER z=6)<*RwLesHPdB#FqH{0J;wP!e1hmwWjLXcSyrcaahBb^EHCnV*G5URLvGRe*Eyuo|nwX%A!8h%0`4Uw4xcIFCD?l==Q$hHJ-DWc8=F= zY=hv#4WApKTD~u2c>it`dj`oic8d?%X_8w+FRPK*mgsioMtrau&Y%{x^)DL28Z|Gx zVfLozuzK`5$;Bo^B}O-=tF(M#U#opB>Q$Nyt+fniTYL;u^pgBo8e$u4`AvnR^#jOe z3rz5~GtcESnaYzArvu$)Pq?Pb8&2=#cA;saRGZ&_`3EoluX>ft%tL$g=ZbX{$);Bu z3LDNPBNCT}PhONymj}V(_3opvrl(PPSSX;eSJeO zbCZ>|t)elUTEy*e!d1KMDY@j;E$V4bc4`Z;D%1&RHM zY-%BxBp>DdI@Xq9L;Y7A#F$Kk5Vm(`&T~j!oS%`4dkIR?Y~52y$y-_SN_?u1O@(oV zxNB)2h2~PM_m!I?t)nNn+npa0NTaKT-V6<*{EbqfgIm+fK4-tV-L|HgGW^iQ$#%7QT5SF_o*s)RSx|CP`-3 z^Xe_!gX!3RHnBH9Q^a1%z<@?32+z{R6kh2$ISHpxjmph5-=>%x@!7djZ(~pOR(?#~ zPpK7Kc=In*uHRL~!Z|ruS9<*Taq+ENY;2i!Q*}hN`O}mg`CKB*L4(X@H_OT2>J`@! zb{D3Ue4^s{dg~vM&D3voK-793c4`N{s|s(|{*XZZaM$kYmkj@+na4LMB!=zVOI_*g z3BRBZW3nM=&{YvTNu(cpx&M2(KSICiS*v!Sezl8AF3p?bySz$xR5e6dw&`mb-5wDs zS+$oNJ~Tx)+~K$J!g`D9rR>FKxZwBS3-^$Hf8V%JtCN-O=1n?^FzG&$tguKdh5*CF zJIDL)_EXo>#r!54C>tKDj2qH3x&0;CYqC1;!tCp8tw|T!WmYjnq&$oLE>JOvHY+I^ z#TgoH8^{}q?v1eUoA%@VdrZkKZB2cBl{U9r3AT>L zkfp31)ZvQCdR+^m=HJ&uS@mNMR_i?QP#NK97@{CAu=?NbThtGq^7ef0w=hZprbkm9 z+8_3F=KBnaJfGaJ)3xwc5wWntvNv1a)=awhQu@D%z=LnJ|7$=f#~udd3K}t4i@49j#pWSFc`W)33TRE2d9t z=Mp$_tl3fTE}4eemP(}4WfoPE@~)O^H@agUCFXBPJ>lo7D=Lb@z$N9YE`ry4+S=G$ zG+G0a+j zuU>mS@`xnAi&hm2ZEQk}ZCv%1T6{_}oeO6X%L0TO!`{&d)8KoG|15ltHnta*(O|B& zltxrd&Z9hIA+#@$*>}{ei%K1O25Ljax?fhfz;- z!JI*-f&Qu1JwYA2*(&|G{{(59Di#g8xaPfklJ!1k%M;ZCDI%^+kePm;KeOJp9ski5 zdkb5ovy5Dj&@H3m`pb<5>xMe=wq%*JT37lLbUThwrTA$T^Q-nuTX#uK|5jt~=6#HF zya%XK#w<5)Uc$k_3D|PtH$BH&>yaxQjKlK6e|ss0SgpGg^*sKl8yjEy=cj_aI(iDn z0Rwt_^lk1pY0ToecNo9qeGK;uIUMa657P-VCj85sydSMe)hsPL{4EBEO(I&3X>KF! zBw6M^)aw8In#sVd9sMVA%%#u;5rUZ42-Yy3<&TtIK0>@jQ$|}vk)mw6`S%1kE0^@J ze=?_*beJU=7OS<~4%W1~;`txgzk~XNBIFzr?!ou<{Jssiq>J?5~ zTiZ=`c2mfQr=uk-_gjRgDW=sVovrH;ER_F^ofU#pazTuAwKVay>dm@mzxr8nQUq*9 zn`Xa|o#GhMd!P@a>_OJEa|MmSxxHre!;;WK?T6V91xQK)(vT^_oY z1rFub|Ath5syBJM>*i$MpizNAt@@}f%Kxm7j&mAMKGil)C%Icmj*CfkrCv@_@ zZcJ2vDw#kH|9o7IqtzohVlK0KrpuI^TMA3Z|DUBR!141B3=GWU5tS+G2|z{isDs=P z`XS7r)9U{eM$+I9+@sdx>xut{ZK-C8Urpi@>zvP)yb(tXc9k($3`GM<#W(B4OD1_+ z3i;$b!>T8E|E;_Ste8Y0vO2Xh7JLbh+MS1H{!-f*56|W$yhw^PoF=cF2?A|e*1O1@s{^Vc8{9>>;VLX@de=cno6AJLqngI&D zQvU3~#J7J7n18`wuCJumk5^^=26MJU|0Z^}nCDfklE;mhg9V0DvtfCL^{KtR>VAiQ z6~juzc{?xH!Q!$7S{7W55@J?>sD>p)3r|V6G}5s|mWZ&B``AiP@h87aa)J@%sG184 z3m7-#UI*{3^nKF4ny*zDFj8!e_3+`t%hN8?Ryww8`q@1@qyGWXm#J8v1Ly=@fK&i9 z_mo;|?(D8o-lwZwA1mi|-OwZD&{H5nzdS3ZR?s+~@51w6qP)y7EtPK0M`0Qvc93pZ z@AGVZG**GZ`!3rh)VoSb+Eve3AQImrIUc?}$5zCnP(3U3e`9>~q4V|0)dQY%bUF!% zw0!+)b#--VDJd_S!v9pI50EH@n~$bxjHtd84&3-F;~7x8@hh&p#ayEk|0!K%DzB2D zWPK3n;_;u$GFQYh;`&0?UAb5p)_~O@ZKO;2{cpYhKbPD;3;2KMD?1A@`qxk!>KA`6 zKYRPS6cPIW{`ddtE{1H&e-l$tUBvWX|0rsd<=>5o>R0_YGNUqG+Wy4|hEk1xz}tm~ zk&&^RGoGvXl}~ z3x8Qk_1q~f@D6jBYu;|Aw7d84;lOMmx|Adv=?&6QZma$*Qo92F2M-?HyMJHG)YMe> zWv}g;a?4ZA8m2LI>(sH2snsbfzkwK~i5>qVB&{R{^K@IjlNtUbQ4@`HIf-Ia(kgm_ z9nGXN>wCWByF6JdA~0@`wv^^8UZ|D(efD!!7J{oXBPD3)$;m<`oM=4^3H&j!_2>Hq z$qvorVZUOlZ6|~|s@He`e%lCrww{x|Rz>P(@g%AYsVD~i<{Xm{?e?^fC6W8tyEm8t-T#Pzz^R3DNm-y{LN4r zgQAtvKk-V=u3r^XXwt$&OGtV9wRx(05UAM!mZY>aH7It=gL#yY$kV@a3e0}*t>o&I ze&&}!I>MPfI?ghlc>Z7yRA$%9Se&?X~B>S6dxt7Luk;&1#*oq#AtBcWLu0W^rI^RTUMn ztJljYnNyw-yG}Thtq$h3U(* zu2UT$%&7`#;@&qwHbW^wMvd3W*wiAY?=kKz&HSIg1revKh8MHFN}Q%})=Zg~1XT77 zDC1tc9Y9>ORjF@1%AF3Pw4I)QPWaKJC46snC<2$W<_%JDUGszwF4THG)A-VSUq?wv z>9~>hydl9nRS}c~@&nDgQeV@EC9W3Krw$qV*7iiB-(E`0-8||@7K+X(s7pLMoJxcE zB?|q1^VTgT+pY!Ydxm($W*xI_w+fz2c^`g&tHGn-3vTDEPY%Q-GjrBUbkaA?scd;y znZ_Jed9E|difD8+U1@pAXOj?YeQF)Yc? zdKD4luylGJDm zN!{;(f}K(80@Lw}vN7Aalc@{wNQKPKvYj1AB>B0of93 zKzT}cTIyu!8W1N?6WhNsb-F0v{ww=a@8Eqsy`Q<-#n(jLxDba^z7k}HUJkW3lb)Nk z$j{-U4|-22CQw z2B(kNZrw7GS-~`xWeI5}Sscr`HS$Pb3L)!v&HYN0yg}knJQ3om6u(GTMwFYeI4AK3 z6FxZu25F*(pkM2EphSDlatfA{AalMG*@-|LV_liot~&G2312$W-#aLQ2}3 zrz?=rGrs42GD}wf<5odURCLwow-?wX*Tg)Y>As}TW z)aC23!tXMAEF@1oUF?5yw`8*S4bN%azkm4(85x#jceU##7%9Rg$B^9VnVAfT0HDao zdJk3LYaF|(d9dNXvjDnLh5RMSE~A#tzw~Q8oV!0L#pkXHUYzdsHJ3xy#F#w$hRyus z;S}w~QHzJ6la!Pc0v&=ouly&-pQ7+uus^;A;Zy#~vz~1V(H_Fc%)8}9bv;r6c@3DW zE2E{>Uu?$8j82cXwM#`j57x}6i>XCi&|lK}xD6KU#_8H-m*+oAbW$0t3s)80Zt^&s zD6!OVtk*NZnzV=Se6O95&vS75M>lhnrY*!@d`1PA(e(bPBe&SXn;{ zH2>LctJe~zGlXHnog5r#r3*0{s+POg5{s2ngiA-#NTNoAWcU=+MR=jC#OU6sc3vIK z8Vff6`S$*jOW!lGCSq1r)+}(KAe+_?=q^R=zoy{-+*9zWGI7*Lra)=iRqH=oGxJpq<5-U zm+KRuCwu(LemeXG#jmDDbff;l2Z~jEGMnxB>G5lFUZ%<}G(ypa7#0nlW?`FAzK^OY zcVR~f#rB9mWoE*Dx{tZOB%qEm?Go7(eND-7)yJasZtXFh9I&Tz-K6X}|y(SC3mH&ZXdKw%Nttcm8g z9)z-e2ZVVjDf{eJBca-$=R&OJ?R|SjL-UHIdGM-%#j5UZyk z2c`GF>^k|$ZzJzjIYAn5ABh-XK72?|_X`L>4HulfBz{=g#n`^MBYeqo`#V{Jpu=@B zk3FN_OvP4fq3y{_Y4Nxm6?8V#m38?%mOmZ*j_m0khd7a)v#r9%zVFh%*VPfpzMl{s zy4(K%Y89m1pf+(W-);yo_I^Oe4QcTnGxi>xeMXw4rKL|{ALw~S0q^(NV0sA&iG>SpTpS$nS|$qj)Wm8~(DU2b z)S4V7IR%GykSjT9p?b}n+1?Jpn2J{B1R`r(2EJ$eF-vAY-+sL;PZc?EZl3IbsV2HD z+venZwrVJ}->=aZXSZC|2LX6t;_7stL}#z$CewFp5L_ zvdeqJDObPx_Cn7xKFLezVX)p4B(8FBWcAWdRQyQ!{%w;Z^b-aM(6Z_8A87x zn&c*OB^DC92AnY}y(O+(y~-H%cgsi`qHRjK(V*oP)SnAQE9|_A=h0c!ekAeiZnwM@=pz@QSA_ zDbJG4T>8r!uM97-BC-gqO^1!jB{QlF_;cNT67KM)Lko5Msl#^t;mC7cg1nQFKCSnu z$7Gv!uY6TgJU1%Gq5L@$7akuUYcux&PmGojtN{Xiy7f{*`Plz6fa+S^$p*SqLn6Pm zdNaSo@8$QEX9r{C+{Ut_RbV|8ZBT*Dpx*pZ6=`mr0@0d*om>hvJT*>P->kn72k8C) z-#`#q-SKvIcA_@RpZ2@ze~eB`>jDysW?O&e!cjR-Tz4|D`H}r_yM@*XDtuqDxtci8 z^xRH0L2f+zv;85bJ{18J`!<$OT<$wh5FkJszdUX%3a`x5^EqA^cOKG50J_FPtEVpP zMpXZmvr4(1Q*y)KHcc+y3{FuB{G0(-^e6fS!=ir}ln>6E{?|qVRfIibF z6;&Y190}Ki0j+;AxF-Gb$D&clpMvGHBw;7IFh0pKJbU$$#v>SD=8M$;D@gye+m{pU z;aGF!bmg~P^vA;Iuxj=|0ZWG8h5>PzIzK3@0J&76J2&=^P@S-sdyqa`%}0Nm4h|I8aIbF=PC7}hfW}bkjt%D{4_#_qh#J( z)u~fMSYXoa250@LP1TTdk_@HxXXP>WSS;!%%U+ z^Ui+#U{~SGTNbIB+90L^J%DQwmo>UesQLBh9QmLt(!38^e|y&g>Q4Gzc%L7&NFWnfLtnom)pMg2_-^ZR&-)c1 zH+PS(-g>kJRGQmiR@T5{g;6e?s4W|zgI2rpmXcqa?(Xg$x2pL>d5PMLmb_l5Kkl$I8=nL!rYf?|M>iR2)st}tKX8og zWWC(b(R=1wpmQ17l`HnpUO}@5ZodtTBy(@v_Ooh=@IW;?afm&jG!w1BGXn98<1Xf* zB;njUf?p5b)1GB1I+w&*@U?NbP(}9%Q&tgJt@dY=G`=M4(pr2YL!g+?sb9rss;i{0 z*%7=Kh-ZfC&z*~dWR% znj?HqO_)@Zf57f*GgsnvgFV|EPTd}@Cf*vWX`skJJo7mxe>TxNKihTrjhsFwa61#FZ)4lb5phpz$a8c_#~u_zI`+oQSSD7)HxLG)nD1Jv1{Zny9{&MOdzZZ#yQdeVImaFG%F_)ToGcjA2V4X{~8JHttv@`+*Z z!wE`#dFxRiqm%<8Y??z-!(iq2PQN~!vGyJ-vvDpfKX4u(ZlNdB+2Lg-TgonjBg!Wo zXXZ4uwBGX2@OdRRI z#8<8kP`|oyDd35!(b3jSYZ>L|>awRMm_RbUcd$}G$fZ3e5WZ+7>`h z#n&oIk1j=ZU5i5WO^`7Zr_MT2{i2ZYi*HTBACHz;BIP+bNe!*{-sR1@6Apx?zVlU( zL+zi#KqCPGzsB=Kq3wwlcs*bp!rb8`Qi7MoFCjx21{Dg0yTF!!Xl{kGyRCePcZ2o^ z2xT8b4U|)L)5-i`(hfP~&#~^}qmv6Z)Gn@f`X{B`Qztd<8aq z2C~qyU(hkHXR^w9)eSP-9SZpoNX`xjm}^`{2;>`)WEZJd-ZKp=sxBMe7k(g$8)EB1iassiE7v9Ez@BFlh6Pugt7%^k1LyK`hp;;59D>| z@LIPv%sG^gknKgCUip;v5uDQ2xy$Fh`kt?6e>2#sVQ5u4nzofSWhxQT3Y3A|vg{h$ zS!fqp$&99OZvO?cA$k?4err>gX5G%!N4Z*G;iG=&yG|f!xSGTnAACP6I_;6C?EtEs z7-NyfZ%sxbNC^6X9?V`_YDkE z*E*`Y#819FX+=iCFFnog-@hk&?X-?R>r>IL_Z68C$XS4flA4(Dz4t-QI`!d$gc( z6e^n&ZxDxUec<#CX`%H^o;urbMY1mEw$pVxUz6jV1w2}D(S?n$W*89CrhN%|)?xVZ zOGak?WUj}k;1VjFB=CdlFmHcV)4-h(S*kxJJKl{pj>#90 zOgtkgA9qwrX*Hv`rMdp_(IZD-o!h%<7d4$_;GPxP&q(_mR!=$npnnN8bUwFb&>L!V z(jFsk^lq1g#IXkw%+EJ3&NDgbTh?2*R+G!+X}x1)2*qN0dwX+7bJS)_ zH6K0dEi{pz1o-xtBH^svBYrOzHVbJn4*}fz>tYEgd?i>?zm$DS+_q6lYSTA*SB; zbfPMjIn^xy`3-jZ2RxNGoqr8Fjiuve<+}cRHTYujE1PmMAqOxaAs0q5FpbO3$rE>jH^&+{ql=>Xsoyv8VF9r|_GWzCC*ue{jp=OHkm`^yIy0?{!tIpq`Zbk&|nR zzf+UmFL!8oH2^mL_%)EjdoFfzw&_dQ(AwiR>wYg2mwU&}eL=YF(WCpxQ+u?QhK3q# zK|44>a#fde+$UP(4vf_IUy4HYXvMB5x{Qv33{vQM={bDA+VQ(uSpKC!UAu)>xAGN^dlnbs4b4F7A(FihMnrdh+(7>PnaF?3v}Pqm z3hc5SCl2n^3WmT^g#dx=7LwWewayd~fgA&(sLW;&sGqIv?e9N-euYiKlzHZ;_weC& zU%T(TEC;6km_d$*+2aEXE6VO4a~hOUv&g@^=}%%6) zajozndQF2m6PD7jIUiXvYsOe~F}K`}F$Z(}g>6+s0pB(?47I`9mBp zD|VTkuI=64eA+sA<=ufvjenVWi;bKIB_aqKITBu+l9 zzv*+S;a#Mf=XV_5p-f=fHg*(o}SKMD3$MfS^;rJsx9SY!N?&4 z&oGchT&5?WiG@Jx3qg4of-8znJB$*q*2%oJKHnN0y&5696Wpq=XeCvs#U>x*9x}aiGPmW4++d zzLoIxX~R1t6x~8-d{k~#JQ=B)eRWGc$^+?AWMu_|*9RVq+{1@g!RUMfH0?E|Kz^$X zSxig}?DH}tZOQ@CdH@2FouA)XRZDxeEZ^Fs0c6e%8WKR37(t_e@mcJ=`Usd_>3rtH zq}w*L02!UEgD}nV?hX@rH8i*U-FW!*9bKW@p-uZ-b~6uI0!8-ZX5Th`3dw`C;;@P6 zA00wzV)n#Mi-*W%Dz_Q_LZ73k19G`?{x__cMyIZUfkBaZCrr%trk2Y(mc#WUHxlWd z6c|d}y?Ym`F-yq$Q;%cSq}ySjlhq$QXo70e)Eq_$S8oQg4Im~*bw@-r&cxfmYx@qU zF@*>kF{J%k)Y;_eRX*XO6xR{MMk8o%bhmdA2%;*@2~0>ZsippeyNex9wN-yF+bcrP zEiXGO`Uq~@X6$wxyKZx)Vlkydw2}YyTQfErYcVjRoK-edg z z*y4D&4c4uJ7ZO0j5ZMgc0W|%PoTTjg{#)%5XXSjse;HlAETMpPnBu;!)ntoveaBRrG5}ScNRcTo_BZ6H3|>YV5+yKT;CF z<3m&P)#R&Z%>A$QYn`!?Gvg%W9T7LMoD7~^GM7JCsK5Tag3XbxKG@5D?D~7bTSc7J zJ^sfrjxt-AYUrC9cYXh@ z%;WOSM%&bGzVo~BKFw!yoqR>IOMx5AY-2zh?VGf@a7}&2A^!tPH|=b20@uU(J2j#CharAsbvU>@@>w zW?|+fZGQAP#t~TU?f?)-%b10OV-XsC9agVx6sz+|6}N)yPN?~<9w_nAE8{Ii z2A?|(+^UHBi?dBV=yJ4H0RbK_XdE(HnR8S4S7AD8S#-^Mq z5Uge&QxQiZM%cK-E}FU+eE9}Na{oGVp?CF&(47we!;m%E1k@#rI)*4PNVAd7L5JJ8 z`89d#Du%k<)s83NwatJ8HUhM76(-r-hN^yBdjmNH4@}*16{+JjJPH}}7hq`sxC9~a z695-?grVV~LauvtmZUh4#1q7nS$Db=OKl1Wo#nA|PGol$EHBHK=06U^9*JZh%!YFA z0Db5Ms}^ZqZo$46TK0X+4SMCjm*y1mSP2mhR0gx)`PP9J+u-yYQkaVU2n}>d*i5m> zeMah4Pn8+#cfdQK!wchQ$Z1Tlq}1Yci=HUf4oPQplBf#$BTZCf0~=D_kqQ%^B4(TF zcE7IBsVhTLYT1bJM#Y@^=#RbfO=v3nwAIaE5B0Y0iF+O|#B2B{w=Q-je7viSsp)B4 z>Z;Wh_SILbne^ZTuS5h@n`tDP(3_3<`xnl`fzsihXfMc)QKw$vU6-S|Fv504cN)G- zG5DBsc1ftuZ9atd^Z@63Spv@agIYhtu=@R0A!VkB=Pm6cIB^em>zH{ zD@tx^^cj2%*|Ab$_?#pX=c<*FFPkAUWLq(VNy@I%1PrIm@O+01wyUxGoeZ+vRYK4T zB2$N*eZh0;#2~aJ?aSIlvFqYCzup<`#m|W%y^t3%mxzh4=V*~g4-n(uk6|q>E7>cI z?^l0dS$e=;SSA{0MWpj#p|JD;g%S~C$936^5O#*(Tvw5L3EQQ&m9C2%+Wotp8zKen zwYD3{o}CHB9X}7f;%h|ps-9uf(9qN@eE|~w7|dWnm$hrg#>QWazvHY;RFgq>L=2gF zeL{kQ-70ZlpA1^)2mWYllZHVSq(si~t%g@V%ij4wj0l*dYi^ehyX02c!xfleF$!rF z6!wep=FMOorE9-s**G{pnwdcpDSP`z{aR>s_dE4$w^3)EJW?pOSFYG{;XQ}W$o-Do zlf%v3fYyG7rwDRHaCkUre-?40x_{WU!MGMvNZ7sIug|em5~YGkDNP)# zkKHM?#3H0omVk3f<&kX&8aX&Qy_d3Tx+dXMlTOOg4)iu_+5)@?PV~OL)HJF6%m@;Xw)?)TJJm3&Cm4uhfKo-xAKrU^iWk*aFwEW;e)W z8QQe7miKjE@jLze!d`i1K&`+)?4hrysAx7p0HCa?JAxC43V^_s&}@%?g%TI2s$77O zlgT^FzNL?QgC&i?65K|+7lF4Il!?zxdRA`mzUU=S=Ln~O=TA_?wCJtG7TwSKwys&X@;{Ia73fAUetX*jy)Wr~v(SRPnc18jd5Hm(1+G+y4L(ATf= z1VuzNbFMxGZU64x%{PgOIFbbpevEoqA;lYoid^1vk3q%zh zI0rLD72YSeJ9K~GNa9Hck5m<{dVq~Ny=$8y>`X*M6AmML-&$Jaxl~>fP$QNnvV&ta zQmlpAVQBC&5m7_Zd-d!qAe*K2^r$%WD*S%_RDNP+Hv26QH#ju3G3)+&x5M(&Q!jLM z^l8}20RsuxlA6>0V83zzuRSMc>*HZ$WaFD$3;Mb?QjCHSaow25&Z+ns^0_fy*SXkZ z->S!>^$Aa^+GCBy_<>d+M9WLs#qb;fPtJSMM|9fdw)&x7YXb#_X;v=em?^W@rJQgAp6KQTrD}&@-fGXUB(Fe;yG*2op8I$;njF&NDb}6&r$3vuzH9{gy~&a^>hk z-(nJIHs1Nv_YSBZT>g8`B;gbSL*KK~o=vFMW{-wpb`h19mX=D;zCocOIXe0|m}}h^ zWb8T&Hx+INR#%I7`{!q6Ny^Hi!>Y+)=t4SHR#s|#F+u^8)Wo5#r>94&#*MqTug{(0 zOINCxjI=Z=P_^$$zPpPm(Z@m}BD;LN9gi*jgt;p?e~r_b`}yEGrKzFRk}gBeL`FtR zrDf6I3BU10~U9)@?9~XC>jqPVvzOjk_Rb$)H5^RZ!Q{H~7(mU(-5{?@T z8iCm6d|x|;L8%XE16HNeiB7A7?0DonFB0DtpF&$QSYL`* zJ6F?Val=XZDwZ#u)5z&cYdqZ=dc?KO+E$`d!?@k-sqXtTw(R-tl=LJ?)p-4wH0@51 z&3hP;iXQr5b>LK*pMw@68vxTg)6l{0w%~Kyna3{JRHk0MjR6*(!^wdSpH;uYgPZHi z%fadCbQYyL$>QFLi#B0$Li9~f^+!tUS-&~By4GGSkB{s1IDYo@ewZ_`JYLCLO9s6b z;Jm0XB8-GN7`A%V-F=VGZj!1aNkHDh;wJJpFe{T@QgQ`m+0wh1SYvSjVSHxlnn9Lq zcWK-}HOOC#%uaa#sWSZKzPG(fXC*4nZDD&^*%u>{N&_l#a+qCq^qS9KQ!cMV`euAh zsrZ;Z_*U>y91OWYxTADiTRWoN$bP^|B%Ot+?7X$NqVap=i>Nhn4uY&zF)P6X)FR;TU$BKE^=~m zK5q|?Dx-P_f$pwkq33Vj5Lvl!Mz>C{tb~9VLG}Co)f;+C+~%EB05Fo-57dV+Iy*aI z2n82RKDU()%S)v;V}q=rC>qjy`CsfilZ7nCD+=!?*&CV#DnD@D7`J?)U1r)&dUSHq z*x4B#Zumhxq@h7lIZZreNMNv&n_H8bjMG3C>NDGcx6LcCH3EEYQ(=XNhu4%0qPwH+ z1$->1`;7x-^U6~@r6s0xyJ|RGIDfdVt+n;t++8M5niK7(Y;JCD-QsIN`_|Uidq7UY z#dh;8El6lauL}#0Dp2ZNg5X$Qw#dxP>^5J8 z?p0HB^PoivGVXWidDEIaz~~Q9jAnWV$zkZdf3*$-O5)9Cun}%Qwa?Nlpn;5i(bOc% zrd@=NhKbhzMJStV2iUmJj5Ci{@Dk3?VT5?@;wYF`{y%;wycg9X!FskD7I=ycA0N z66d(oNp0|kU#Ubtu-O*|tQ`(F^x5<(h#(msB@I7v4ln#-QdnfGS5fkGgczp1zMpK? z+ws5?q3c}GxUYFtIssiL}i4w`LpFai5>(H&0Z1p`;e_HVxxzt8U# z=F|_bSYYJ!1vDCSdPiMz?fXaT=4_2>VL}4R41e_^&?;d$m5CF!%UZg(vM5B|zGO`q zZk$43`p3tUou!@WN%JW@*|>pwXG@kH&)7>jPLqHg=U%v@1wF=doj30Z)?`b)t!4ZP z-y(7ue2oMu{o`I!-c1jB|Ne&Edq3Q2_utnRhI9I=5y$t475JZ`_@O*EAXckk-EOd} z5>a4^urHov!C_4;_==;@o#-Irsp$R8=ojTN(Scbqx8!WtSrwbtr)m^hxy|P9eSIY0 z;$-9tX(gwmJT^Cf`I3+}fXKMt^#u_F6Vr8ZaT-u)8HZRRA|fvW17~0wSIWX7>wX;+ zdBDUhjZXwmc*sF*nv`*{8QZj}SG(9iBGTQug$pxHi(%MtFb8xBn)glX6Qn_XRZm9; zOHv{{aA)zGRZi&fb{YEM9cX*UTeuI}UP+M78Q9Td`QFmfI5jo(%L^41^^5DK0Unhg z5rPYZIMRUCS+xREAD={Vc}rMWc(y-V;}R}zBT$EKkbz&P8Ikz^_`OGhnCESn+X@9| zZoJwx;`c#J`$7#JF((>OFG!5^uffD5B<}{SRK$asn3&YVDuHR;fakth*(+cLjG+VE zUqaTM3(!C}S;RHms?i=M@R1{x%NM{R zzr!^I0b>J0gBE5srOeEj3OK8ut$cGziA+gRd44rtuQH0+3w>{t?~__uGfd$lKbh9| zG&1pBRYe6IKYuJ{WDY?XYo#7Rh%9RCT?{NNEEr28hY7WB@Vw#7;$kz2^5+4on^$n) zFQ6OfqFdoBy>BJUNQx=?9oSny&u)O8ZYu8O(L7{UOErQp67>GfXFFNbnp6(_me*4s z>U^oyz~@I{GMbv2FxiO-jm8#eV}t`SKw7YJ-+qCroknIWxQSAizAm)K=ec}%9FDxy z{L8RwIVEMofHg$qkF+hwH}1K{dtf5_0?=e@qZ zejxw!L)O@($-;yqR3KBw0tPPfpy9{vQC zc$t(m2oUvsR@SBL>})_kOe$(>~IA@5&q=zqz1!%OXkcD_bceUs$O+oL-h(g!F*-!;a{z|eHP92bHOP60D45-=0`5-4z=6R19< zmFJv2zr1`2$Ul*^JJ6)ZkkdwVVrA5bs?LdiJQ)4l;T9MSsqBjD;XD=OZ?8ZRYqoID;1JaWF#wK@7H*)V;nvQ_LPo06f{ch@$KW3q;0gcj55XD(^j$>85y-} z7B_Azd}Lu|?RJi0m*BmSCX=y6!42bO?b1#z*#jsm-?K$sgF-^?8n;4pEchYxG{{3s z?JEw&?SrBYBXadJ!EXmjEq9)V{(MK5?VhKN^JA@4-8fbYpDiCH7anaC;a?xpO(l+Y zx+f~w{k$HVkFRduj<*mtENlDbg$*om@YU_%yg{L>)r=&i46Rr|UD&AQan|@!V$ek2 zym`ZOW@9P-jbm&=f^tWpL21j>8hv<7OztGQt-u%ii7z$CYG8?aHZo#L^x1luCt`Zr zc$5SZJ}zQ^DSh)&(jDT;yII-UU0V=*-V_tY|321vyGJar7%pmLbXlohytvzb!w?eW5}Ha3(egFCC^($a)Zvb@XCd-~?z-^F7#6mIl1l$5cMmY-Q#U!LhpwX;>AHGoF& z^zD_O2KBa2qGjXWTo)&l7q3sXKIE{koexp=z5KaCf{;*&7ZV`shp(@0KO%9Lo1G=a zPB`#v-Kg%qw!J$l(%dk%x@5BF4a1HDq@t{2#yo{1Dk%-g(j$MDkCUteFSoI3unE7q zknBcDdT$S9(BtJBeP)uw${$6ZEB0o#MDN;dLhj$cb#(}+mEf&0jBw=s1la}5E1dWT z{q;Y8e-gRB_|5)ULh47<>9jN6D}n}PR=e^|UdfWlVFhkHb;j+dKDoc3eo6XAU*VAR zxtV_{xX~!CdFV{;aKibjF$C1N+lsOd|vwf|t|=+-G|EiWjkl0k+r^Vy5cm zR?%$nAyq2I_!_j4Ql+QFJ8T=zrSyI z2CrMwu<>w$nxVa1G0z5Y-M!h}R^sri)tp-;6a0C)@?>B*0IN*gm@;R&6e8I~8@_oN zzx3Jr^5x4)&qe-@(0R1fyJ(FH*%wD)%WuS9scGCk)*6#PYbqphVn^kM-qj8n5DB#O z^h)Q?@36tLcFgm+!_46<-%T9(h{Y6H-|9GZ2GIk%w|%LwJNl!q;tBAzGW+5Efb#<) zBDP~1ga$VTUDTkATJw=Cr?s{9A5a`NS$;;9GY{0V2_1iai-ASS4b71c5~6(q!YNP6 zCA~=#|Z`FUIwYgZ81+P@l`^$Ew#pWF4p+sOw{>4Wne@l{{3!d;^DM)7y zVpG`s@H7IBH9l@`|FuiM-^uKBaiuxd_-E3{eh@2diy0sh?*wi#-yB6gpDG4*t!h2i^6K;($rS-p*c!jsI3ukl6k&(gdridJz|E&STeyN94ua?^+n5KceY(VhCuKoLW?A*Dt4TxyR8@FFy=E>hZ zqk#pJ`b90ab~Df#q$T-xpkamMUyZL7|LiSHO^*lzM5iqujXSI2=H~#&IOGfU6alPZ zuLEbPh-GEUzR2X2vE8*bOuf=xONWiFUgb$p()#0pG>5*fu3czBch2W3!m)sU8HN{@k(EV>CM){nMZYwTe?jTyaY62N> zDtP{@+1zSHlQv_FxwDu71B;5h{GF*-VSY_{aO=B6v*1#g9i?1 z>HL6zc0p3yU_23kZRVO$ofk8%MecBOQ&Z;}ZPiehO?hoq3v)l)MSXqR*GnhgL|e<9 zIdA(P^lqtsx3+EM^jpX@v3}>>R1ozUiA3K>sxMQK9;6DcA#syY2uqJ1YoTdRa-hGF zBEMr>^oV3)+;t{Jh7g?)T>%N}FUG~jr>k$2U$^n=u3-5-w>hv?R4()!cT;d!80}!4 zH!JkmoWF5oLs_As(|nbksI&W(A((%FgM{_BR_veB2Gxpw!~1ezsh5F z=rkz4#>bir3bYmW!_i!Rf9_BZ`e+-~dc^rv@Oxyl4ZaToY#}gdiIr`O*GA!3|G+@1 zhnJULJHgDbs(W}y$F+|Kgeqik;;8@h<=kisu1saF>LQ=6HUA&Bu~iJ79!n$25f3Z5X0m?3GFU(b=a0T*UjW5S#sQ6?h{v8_#>o1)O6U3ra3T-FNToq?jP{nR0yc0uo*UWhIl?=b9d3hsM66jpJ z-i6wReAus+eX+BLif7GjKQ>U!8Hiu*wKxp9%?@2HyV>ZueM+;ns_(L~@vTonn0o`9 zrH&j4zwZW(W3AZY!a^H_B;jh=yX~$h&|>&a)_#N^SDom%t|pN1AMX8yqUNt(zgj)~ zXeBPQ*oS30-jy-1=7UYSVW#U3KtVx_Ge!ph)IN~v>$i1xbK{3ySfb{`v(^ZQF78jE z3U;r5DTXVVf8q+Un4FmSIQ$BNG^O0`uJRZ&wxL;s(>$6qt+2(r{y`o#}`QAE-K-}uonMJgJhQO zUMk{0&wnN9mW0wh89tCpwYz0+Z=Y~9{7I$N z$dEJr)eT+h-y7I#4VO4lBampZd0UI`iq1{S_dleGVamMAN*oYFK&V=F0}yV9h41IE z=F-4GHw8*xcqAn1Hg!b|ZaQ#3m@D&c^h4@mQ~M8`8z5}X(;joLuYUn}&OV;>G(#MI z!nKDP)?B2U0~PO8GXu=nh?<(aQDIt7p4Q7OWtE!mf5XVf*Vi+}3rq=g0fG|A8`#g3 zzRK&eVCBwS5EB#Y1P+0NOF>E$Hi`c9Nw>hbj-8;KHjFd7Oo@g1_QUg`AeqcTAE~OV zD?)Ed1hjOtHZ_?-Kkwk~-iqsZjp>0ZZ(LH;gZIIV3a#lUfK%K7EV;IYO)CFfF%O|# z?7KiK4><^cXe$nYX#c>e=S;8u{M@*{feD^FsW`T`Kv!Vg+K|0rMICx)EB1`nw z5L{H5!bD3*${lkupMFo<57$47OzHpnQXch1R!WL>JBy&mUG@$JL7J(_R)B^v_)F&S zrmJ4Ka27B0^cEy|2M!$I1}mgm;|ZCg?o8CcWl&f=JUm+Yy5iD(D94y1qQNpiUP&P; zDvHZ-_U6rkH@4-Jzfab{kW_%wm$ZoJXvybRC6q-8P54~%uOtCCBLWn9UVgYll_C4R zq8?hb(Qn@xW*P~+p@82Q+p^Wbt>KrPcxx_cyA(?Bqagf5c$L46)#`M2Ye73pqwF;J z70z62Sj0twH!;sG0}U8_fe3O3(sG`KhK7E&mG+oRKUa9ZahRhhK7^?E=xeMpmA5V- zX^I$vPW7)!N%iw_#ym^N3M313)Zkuw9R8VPk&{P5*kLyb|fsGfOkotU#U zH&=kyx}0`BPTQ}i^C@_9C?P&xaiH~{t$+~jNpU&(@N@O8{*pV@ z!A3Q1#~K0vc7BFVqzbEN;J2$@SZr4OxIS~aFl0p1wav1- zV0l=C2u{qYAjI|$)ipGfJga1Pdjf-S02AuPsnC!Ow@~KA{q9=QlYr zA}7T_zuxR1=s@+nw*)&m9IT0SiA`&o1x7+fi^!2E&V)hpM*A$>GAKxp_=y0vD4h-t z+8Sh_R`)vtmMP72U>`sR87Us@M{`R{Sz9q&XZ90mVcfqhm(V+tj$7`4r0JStRmjWY z`zSGZwf}I7kY4W*BOgg_ynJZTwbx-x2)hP|;r<%;;!Bt^E*ZOW_lAZzs|ek{hEvHhegg2ZmkDlk?%6?9%*ZbTyWN$Dn2L=K z5qiIW^JmMfy2uH38MASRU10l#)2sha3&3{%{CWP4qfB&9TOW*`v~DBH^2VBLy)%Ar zCTLy>`%FrY-(m{X+a%+4r{v~@#zIAOzb@?~{p4=G&d;WPPVCmVBfHzK`g-1wJOE}7 zYObB6lF(1rzx-$zoppjqP-)-|`=b>?osG&@;=ArfYT&RnFR?B+JofV6f_g2QX6>Sa zujR2I#%hC^-@k8l+4s97CntNXE#>zJMQil@MZn)5s~=~VWWQ88UL$Z);HkvK78@6L z2Wp4R;S(oMnnTu1B$|!_zmociG5;=#*+nW!p`bConkOFK-rZjKjcKp%w-dO5CC}xH zf`g*HkR#YU$&R|8fSPdawLcljALKqWt^tciuC4%pn9 z*_#5|o~68pxh&f--FJN@xUTNBFG=X=(LFw9T8EjWu@7IW|NMl!QRI?9%+c#7Jr@pu zLKoaEd7NI+*YV5e&%{~*9SdD>z@ZUGH@6~|N1k9|WlWm=UlyMEGeR-=(s$rn`W1iU z)ZoII%(F41*HangSy@e1gYQ9KU4IETQ0-PKB&cI!a{TcI*`mjAh<5J|0GhC{rjemF z7u1(i7F9)H7oaoou)c@(nyV3HE+SLU~4=J1?9VmX1iD5 zB@+1a)Qi)X;FOFJ(q~pN*_wS=v=i;*E1E~oBxudm;&D@z`#Qp&I zY``e^l9rZ!U0;8vX#D4w*UPQ+Y{l_C+ibO+Sq~l#pnKR!Dz4A;YWHW_lf>Pxcz4)w zCu!=mF}(sUW-tnp)>yMu&eKhy&>CxNpaq2O)TP#7Pk*fD%;>0DPe@`mqk;&GWki4T zf7TOJ<&|*n9wAcf$=SC4{mmX?k=L^Ql-D@bY6>tH;}o3#u0F8e_Sbn!J^var0;pHGts$4t;&p7xd7#q|0g3}kZ{N%Yh?n@84SEekE5kh=$#=1A_dtCcBX zaj_}?^1X$k@5|yVG6h=SqVg86(c7G<{(ZREk7<*!st)iWzY=)IM6ztDcDCI=dmy>7 zv9bQ(Xtdwch{8h_fip-X2)Dg?L+G{$VJh}Pd4Yt5vJ=%*)A+ z^Li8{0K~3^bwOU}K9+Rt3==mu$$M%CLEA(HMPRE%U2I10e+Kk|kH;BZ13?FOf`TZG zxnI0B*EiPHWim1{;*L|DT1NeSaMJZI9H-~D0mG#sfdL8uPY987B*+(ni()(BbO70e zl8If)(B z|85gZzE&PHAUx=Q79>0|Msm{J{x=`myv*9z(Gjzf`r?ID*2N=u@fQwf_1HKr|F{He z!u*;>q26Mddx7-@@XrvQkAc=9Jcc8`f1fXZGWjk!5Hn!d2W9nuem3(cNkbG*QJ~{L zhNwDec#OcA?3eWkd+EELGDvC8Mh&`O$;;~`kReg@S76=>LicsZ`f;}s%rQct!?~wcjlVrXH#eHZX_bxx|=PAp7j!Z!C{1@xjK!ylD zVNEU4D>PJ9Rb_N}b1+1ScUR#xXvc8Z2A#j?{zr9*d>-V~+LaKqPUH;GbDm^^xu6~t zJ+Z$Bg@!JYe}n>Iu-1{{q6piezT&N?dPP|qt@{&i1sN!SYuqs6)Z2wXuIxu!`TiY} zH+5;Y>=dT&ll|W*O1J?}`;s#}lFBt7K>8BtDr>8=F#sbQ>+8w<{QL+3c3e`DRYHg* zW`AO^hiJL}^XI)ljHh682MwWOA_LAt!+lHtjG58%($Z;9b)N%%r~%@qrG6BagSUXy zn2Y$)(E89}I{O6i3>H&jT*OazoOrjlex=f3l$@3aAwVIap)|8R$Fa)hzG)@Gs7J>$ zbOnew1%luYVyyi;k^0!R5QJxQ1S?R5J5a%(2v$~AW#DawMMY&B8ev94cNtH%e{MJe zlrpw`9AAVChNwR{*hC5}QhMsc_Z*6ikEg&EXMFX&_4g77lL|=Ci2sB&zP#hr)~0u5 zWu+-*SK@_^&djI}g!qPIK#?Yd7f|)Em3!l=;P{)B9Z&o3zX0SnqyyapZYE>$IspkU zB6-+_taDPW)Nek^HttB)47rQ{wn7~&!0a}@3L}$`XQp+@o1o7VGE#w zdHDB;NDvIwfoSf4Zy-cc?YpTCO8hM35)PvcRPnYl?n5dnDhvONIn3?tV}Npx0^`WC z`w0aSu511K_Y9=rdk<|b8iLK(%D}IKol}9RkL3GE+_smVzzl(rU(j*{9!z{2@yJ;d zUyVQm2V*tj1LNVB+db_t|4o_bIJjE=O1v3DI;1*byY4#0cUnM{u-@_=Ki>V*cL)`6=qNuF z{LaiycsELC&+>_gFrsimW-ykliQ9)0GiuA9`LVd<L z-5dI*zBjHk0teMv`nmVt!6GZ+{LmdA*DAM0$N-~rf7yR28@|}3<9&U;7Naj8IY?y@ zGNr9Ytlt9fGX@kC2=0^hVZ*(rifjgq0>noOr69qn_^vI}y$KE&&EVJ$F4>!UvHu&!N%oN1Hozjm$jKQ6Wwcf) zv)rHHFz=z=qhd2Q=}(Ba*Q_ZE&0hMHCw<0wH1gIR5ys+HUy zOO2NE8PelBFX%_}{`~Q9fxrOUYZk&>wy_rRJ6z%kG6m21*g2>j9Ehhd zB_V2jw7xXmXp0AqMWJba17G#n0yFa-tg%d|JF0CN*@Y9M<(OToRVWJT6()`w#dbOW&2JJI3r%`v+GYg;ZpjUA&#|Z@m5km_4D| z*|%@sYZ3Z~w*dv;2<8kaSxi>PLQ3rWn2ZQw>aXua!`Dc&z|NAe!ug4bUlFe%+O#Pr zX#P3)asKc12YVkI^bf>EAgr2yT`j1@2RAF+3de28^ls=hX)SK_TsCP2{vCk>rN6XJ zbW?_7E3zFE>%dK(h+0cizw3#5e<5!}zmnrD*s`Y!zC9n;3;GS)Ha_S+(*M$zBiUHl zVF>GXJ=Tw>78?aS;E4w{!$YO>t7tEMoP0nZ+s=IlK70I`%dmntC<=g%9No6EPM!pr z77nY6nXWpDp&AR6VyfwPcFfPu2h^W#<_;pF-noND5C+*mXh~qgHzyQnQub+ivD&%a zqY=U{<;=`@czJn8CMO9uxfupwas4Zo2xb|9m7-{?(1&o^*DbSPVhe>H_8K4~2i($Y z$nU2D_!0VQb8S0B0LaT@1$QF5{_{972dipm6qM~Vg+vW-N7y|H`C}^4D<8f33#-C$ z6QP5QK2Br{!79L>RhFvDRc4=FaO8vSGWifOf_}{^q9=CFXM6ODjKU#I6-a2L>mqyU zRuZ*kC-`~a^ZDTmQMPkHs2Ko1iT`lGjDY1U_Tj@Qtkge;>NqgQ5z7c86H^e*$S0Qs zENj}DC9=W>P2>l0GvQ5L)g5UV$6YzMye#oIJq>>s>dg2QaxCpCpn@1S=Z3-6(UDV7 z99yx|BcSa}FrX~klrgH_y0{*#jztJ9+-5=f-a%pE4&HA2A~!dL1$a&tRP9JaPap~kvWVSfg>A!X(crdVDc zp86;6JJ9M!K?6dYD@urgQIj771D1A~Vk8y~%olq%_yJ%NgCHgttyg}&?;f1kgPo_D zz<2;1rx@)K9EYBSSi*3L807wReIYV z&vBF7|8w4)VPRrlhmmvHTO*qE;o1?p?N|flXhp?dopJyDK>JFm{!D4&a)OObG`5S* zrJE1O#>S@IL;UD4$xtsmM6UejZlW8;g5v8bR=lLd}HrEZfxw-Ue)b^8i5UY%IwBNu*hT zl;rRGgV^7*E<<$n(WxnPWoFWsE62VOW}6e2>HD~ErD2o^#>dj}P!9SbS{?@{rzal` z+m{1{mww)SGePn6U=GH>&3~RJE!}^8u~={qX*io9Ix;hJ^dz<5odG{WVwWc4Ne=RG zX6pO*Cfh&==LEi9{!BY&G-_RFSWYZUq%}?ED3xpTr+Z2+2zZ|nTjIM#%R`BQ{KZrn zd@uT?%S8eOj0IGDwZ#2vhHNo7w<(1yhQvkqv-3vK5Det_Paf#5-CApIXc zX#3s1|aMH)muqyYAfPat2Q3x0f2h}Mq8EztzjXxq}NlozBZ5kJ3_M;thKFb;gx zfA{VwVdGZCf)e?0{|Tq8oF_NHQtSZ=@zFCWIoaC9IQwE8NPRK$CfcC~fGP@1{Z5=X zAs&T;?Fo$4>NAd^lCpBw5@=TyYt&igj+&~fI2eWNYr(~NVjlH$m2sYk)UL*m>*a?o z{n+&yA)=d(|L;G_ZV-&*{%|lPz3+hXfH?~`!?Ie$Jk^87h|bx@z)*hJ-q}?{LnF%* z{A>NQ*NLY=-KF$?{d(1b{*tcl+}dLd01z$ei(E)hQ^p#n*bSsJjxf^LCZBQ_ve&RG z|Dtxa70|YatM1dD$G>ja&=b0{#MZ(HHnHS)-%c!G(@CbS$KkCaRrRMi8Z|T1nRVOrkDgf0~#xTYebc(mHr`HD18-hjKksC+W64d*Oy2C z+ep$C?Z98gb3w_W5aVGM2o;rAqP4eh=m4zQiZP`A#+W5`>IVH}^`l3Rv};7^uT{t> z(4ISgej+;+X+X0wr$SOCY+Ka(Uiy01|DzW*I#p>~i~ZhyaPNmJjS|LILr#mV>{6Je z9?x7x+0=XifkJ7YxlIv4_OJS$KOa41Bx)2`=?Rn+L9c1Cm6g)%iQaXjHp~~a zJV7tq?$+mMA7-juD2B<5mghRI1OKEpOe(6N5xdytR#qfEZ;S4ukd>9?Uk|c7BMPOB zP(QV~zLUvS41L86pF6OoN+!S1I^{T{^Z8}so9im8yECdBu_M<1gFwc9V-W1suT!G? zWjy2na8SjdWPYrL=uHWHq(>`E@X!|?(NJHo&#CDW4d2FJKJPR5H(hc%H0Qd^9wpfu zhVj-Kw4V3p`HCNtIW{bM-{PoM=oNWLwYU^`luYiTjt*6Es9lGn2Faj4XwTjQN;|e0 z9Qmc>*5;+VE~?F*WwIyZz?I}%-zBE{TF{3LmWg9Zz&lbah?l((kRZglu zirD}VBZgc1ISi}MQM{gmh~CZ2tju(~*x+|0pTUj3`ooVt-|eL&?FH6x>~e1R{0|Al zq#9xj_&>R#q07}E#{UpL3w7?XlTDSkw`8llSB3CTQSrk6h*Rzgv(mv=!`mWoZ4v7% z6k=AxF9|H`E=Db0DXIIGUZBQav+jRL0MkAQB=M-Z4le?T3TPH(ex)JsrbTt;zhI8Y zDfrX)GieBSarh`m2aSmrpoG%+Ia%{{ZS*LnEzV|WX_=V%%l5ZKnB(OwEh0fGk2;NKy{ONi2>UGBQ;OZr-{)Ueow)c^@0hV% zErtbdJZ_3KSA2UzUF69kh^5YwjG_DcW`x2EO#rq|osc{83Y8K^!C|b0p{c3qHFPCe z`3{!ZB$$kjrt*T-?V*q?;kU*P(+68=;tNn6NA_HYUNz8(- z$Ai)z@9VmS1rHw|1qSzE93Lkqr@Vx~QQsk^kX29TTf5(tKPoORHs!c}{ra2_XQ^EY zMqDDOKZmut_~q8-IzW}R*B7_)jfRs4*9ZV)X&pZv62XX-HxQ3cZLvp%Om-VamXwG< zWK0FFwbsj4oE=d^X`5%v8YoMD3lb&<;NRQ!W5~^(ChF7%M=8yWY@Q@jt;{xmuC`+Z zd@zVID`<0>h?ym|mo=wq=#-s3P5GL+J};tgsR#K_vo7DO70Sw<> zukO8eRN=&dKU(|4!WXzdUEAjXl7o=3Kt0$DDDN4{(7qE+luDV+9Ad&gxBB+)kDM<( z@^tS5m|@z>Te73F(M%axg^Wt37&CzlS#_q9v5Q-2{aRkP|7PK)eIq0O zw2W=sjHe)+%bP9b9`dr-5I7^V=bR$c4D@nbU;8_C4a0!qc8}P>MIm~!BgGLlq82Jr z{zWh3j5F@qWmfU-{$6BpuT?!KZ+%;WIKs8$ZXPbIbX@^!EdfhQOCVXzQ&fch zlz-+hwG^ov1IGwF9wBB*@5B2&4<@J`OW}j}Ms(v{-G#f!L+pu`Z0S))V?WxIW0!Dn zaS6hCMx49NciWokk!pJyBx{fn%e#Jn69%#m9e7Z`(I}tVH8&X6FzoH{3 zA_1j$9UYV9?S#5^-@ZsNX~1l+!Mkx|hKrN){hqwZ@89Jzv^rnn0Ras-+1fCm znzGflfUJnm*VYWAAYsq7%T-2L-DR6*o8cL1NBgHrIt6v5ze}-RrLkLFE zybG0Wu>7a@f7(!mh4%O<0LsJ%U0rJv=&%(AT(tK*gk==W)^AZ9}f3KTm$sQNBWdPomlO;?5xT zuU%Ir!p|*m7rgLho^4C1*FLc6W3krJawZ~U;9##S0kdHiefsmUM%WLBS2X_BeAg#~ zN=uLX{TZdfjIHe+gwraA_Gn_`9%S^w5z_xwz{mO9MIcs#8VeNXC(#*?A#|UcgFr}b&nORHa!l?P?4+@7sTYXK0vOMav4lj@q2w8@kB)bi}^wL0uc-- z)zs4R?9QSbk@W=+6c%GYNV1l0V8lEnZ>OvXp@V?8r^F5(N^COCNPrGTQ-6$LLKVAu z-;8%}-+J*Z3t&xV4}u0(JYV}Q;C$AhS!T%2Jh8%2>ULAuSdq)>vl*< zN%4^-GZvUgr#r<>lWinz-?>w2&A4s#$mQ7F9vd7%1@fKl?(US-)a<^)dD?uLBoLwW zgcJedaAm`I-2M`~B~q?bbS9Nlq!GCx2pBWP3&tF*;^0v7c?Qe20?vi$*4}SFe%wV` z)BEe}u=Nn#smulj?CWkt+v}8065$I6n+enc(Op)OoHft5%c4^jy4#hlqU?JM_UZ~G zDEr<(;Sfh-4Vq8`PE7Rwh=06vh4Q#P`Db-5UA4tbP7RV7IIP||^&BzV1{}gLOwP2? zWN!a*a&sewCJi(UW|D2su-FdxbI^YHxc&p+{4q6}DJhyKUk=@r#k_VF7!-woINzqwMDHo;!@p8rqeIo%ME?d!3?}4_>|0@6#l> zKrdRrVcVlc*WGY=8(UdyrD^&*j%(waN!&Y|91NUYVtZMce?Gsrd*ja&JTBnaszs&! zXOSpqU|@?32dL5&bpw|Qvo@coXxwTvfPjAj_lf)$FjbjYmmOSPA>7YRjT90RB6fXj zObh}w*4_N|?m1A?JuLc*Zy-RY!Jmv`=iz1D6r_=jyn)R}#6cgnl zg5gu`b@{geuoJ)tqO5nK3F5AXMh7T9IdEYmK#6$XhK0-Gr14n{q_NOse*b>`UD|05 zY?kOvkQQMpAl&DKAR)~_%r?XdiROfl*5&LMJoRF!KI@5d&^T5i7N5@}Ho@$@cu{X4 z!8!ulZ+rJpX=y1zh~D_{fWSj}PMxZ0;VNiqp?r}RLKXplwQv$@!AQTSJvLEav^Ca4 z%-Ha7rfnE;6$u3&?2$u%LE^KQP;{ORkBN?+Fc3zAQxr&O0FMqp2pP> zVuP#|B()OpKo$Fs7TjQ?hDt3gGBS%SrNDFk=f~`bDg8P`Eo-MU>P=lSG_=X0dKW#6 z1t20I3{MeD2j~+ZFX=zYe$(i`|NiqJZ+b%cWu)kmk+a_|ITmo;AOi?X7a{oQgrsaO z6;8EGiLlf|Qcmme-cG}ja!L_eDDeKH_%4;3HwA%qde|PT zQ9(Em@larhH>I4m5hVp6iWx$vplL{Fm$=FCJf{yA8|zdk?ukKKGn0!JVtb)<3I!;N zl#6}AcWT|G_+B;Of40+}Da?+xwCFP3ypQ52v$U4f?pIR_CA!{JF{9Fx(Q6 zp`yqCo1!`?Mp?8nE{B0@iJ)}NMVWr!55kpW2I7lQb>@7-C*FcvBWk}}(0(x!apAFO z6FjsB9BWh%pD{WMNU z-0zYAGaL+2sCUW7isAB8>FQ+2|FI8d5q_#46Klm#!w_N!tnK+bzoD&fae4P~vNX?! z4A-67QMrdvi7dOH`!KiYN_5NqXZ-9E?8;q9Vau#FT}s!&52|P?DM#^Zcd0UYN0=+h zKjV4a�wT(n(qLZZ@XHnw|U6uIci@P)PHo5;r6s@t{f$u zQ|7s675ZatE8_X>id{*BDIl< zzXd|+^Cpv{{oOl4{NU0ufq9(RLE(LCuJv5>Nb3cfNU0^M zZ3h(+$v-KH4drcW-{pK=V&H*I5V>J@!Eqq0f~&s1-fNn_9}hsdbN%R3Cl7qZk;A+3Z%Wz(x= zbq-Z3S9F;4Ak+qoRM%YQG){H&=utQ>34t5!&Yi8WL-@nfO&e{R=Rba!wVj3|g(9gV zx6#*Z_wFZpcj$CS-V@J;5|2Cq=ggt~4FNL=eYo}N22Zp|{+bU=HO6q4?nAfB&XniV zSV0+)uqE-^%hPid&ogKR*G`C(6V#f=cqI<7T}&J4b;jD7Zd&&RSp^%DAfnus9UP+a-TT z?>q7Fx{2ki{oC{#MW$idx(7(ZrSG)X$DKaCe2=F~?K#la!2C+A=Q2jeF3CpM0NB#H zM1TLF=zF~`8CgE~(o%z7lLIpyW*D)PA<0k9+%mzdpTF`x=1pPlbH84oa%h*IM1Q|L z0^8^gk^|?7!y)XsbF}6nQ_c6HSnpG0d2s#K3LK$)^IB6Tl#UVw?D$mjyStD0$EXgP z|B1JvR6E1eQ@_t~&k|D)C7FZV!@J>cOZ5xXUK=k{81Z~oJ?QD7MCb76J8$%Lv(U92 zH=YQYMhon4Jg|Kw*8E5;>E?(VF zxTai(=pk&4ieezRCuDJqff;AEt9YO#L_LIIzjFifnIzX^QiH@8Ymt~sr<+dh1Lg!p zH{Sem2;?dqVZ^hSIE7AE8J(xH`H*(ncBS>c+kQ+6SN}%D#IQ1{U3(jUujaqQL6h%d zrBY9rD%#(?c{4UCDGZQJJs35oss~;v&qey$@7rdnP(DmFx9pdOtRzjn~rWsi1 zPJ+3IHS3QLB!|@~m|MtAq{vvBm2La7;p!I`~L0QkD@}Ud`t}uTI=Py*C|8<%j$bQH`bQh zHLQ>sqUzv1+8Zx=-O_T#?)c5Lt42msY|YG92u}&IY9X%i5j>)@L z`J$pC1lC@J3E8O&UR8wXl~71xIqdcvKqW(F(!CC8NC$9=#8bF*mRo-<{;U;}-$g&&#>I z55H%gl!aPd$?=RX|trv?@-4i2vo7k>r?SJ1GG7R3Vo zy?Pw3E-c-I@NMdAjZ|%29iXs4+%#r*c8yhE5ho$F1zn1X*A(ur|5FfAQw_Ys{H|O(4uox_H733qL){ zLC(5ApHF#Xw~o5dNcsZL?wW0+)!V)jUJ&bzMsh{lF3LbBJ6i(X<%nd7Ik@7fdHu(O_7k0Rm2x&PUh;6mP+jyHwLD?m;zO^;9s1n)Q z^U{I(ctpoO|B1ks-rhtnZT4yOpZRD_YItA$twajuOA+h;0AXf_tun+8Vd)2 zyna}Si|ZWMV|n`f`#WRZ+(g@wOldisinR{A$lR{F_DJ&8Guez-to@BGE!40oDB@F( zOH6Dz`pU3S1&o|1o-*=f>pk=5wzjsB`I+bD`Z+<8kx^t2@qPW8&aIBjiYZU}M%o`o zAu=UMGxV6u7w;Xa43v3y5zqp{uj}8uIhR{k@@c!^TOA|iu*z)%6_p{$5NYy2FNvq9 z_(P0wI@FE}3rYH~CBWuTvx%qd)LEvPo9rQUoHjjg^IkLbdEY(7wOb(;ug+G{;+({# zw2o>lPL=Mn`>_mI4_I_ZgolqhN+%{rCyIiDCnuSQg{U3!&o}?+QaVb1rBWe8u(rWM zCKzZQQUWZNQt)hEN|Hms^${T_dD17#2Oc~d=Sx~zdF=~g%UT2-uPw3mD09Sdkngp` zH#=h;RnEqpl4Y(7r200Y&wVRehV6i2jv zz5Inm+{2A94E23FQJK>l6>=ni?#z)}+%fmk2^jV6T>{i5%nF9At9N-aBisRtL-8l?Ne` zL5ZVwS$x+=5!DH!VJ0-_1U8AAmJqjgQFWljrDIhpEkmCzz8UPWFK)s5!nHtbQ7X-6XyMJt&yvB+> zwTU0#suvBPm-;GJJQ%$-bMi0dBb+PW{qgu+W?v)`P}hmUM{j&f#16gxtqyke6M=WX z1TliuQr6mxl0UFp`-5PSeyl72D}$0JN00KxK6pS6Obqu}g3aUaz0PnnpyEcYocdk5 zhUmF@T-Z$9NQ4g=SDkWiLe+F?>D+4xb8C~_;(bPl$6*&XuI;QE0@4CEL%DWZ;w+eY4yBO~sGj=(3j&=Jq?p%ox zETfXd3l2xSNXKu)q$E@H6>HXfo&de)RI<&Z!C;}4>?1>2=tcEz8&S-HuJkY-TuU$BvW@9NB_p2O{%gxfo~!7^(~Om;b~jT`xfi8Z4fL~_ z3PG3}h(N>Xe;?Sr%WoeK#sbcfEi{tD!xF*Z)h|k)>HO2~Z{FAh?6d<`Nl#S|eAC_r zM+k@JfbPaKYr2P*?O|r+*!f7tlMwG|E0*Nu9uhKnsSz_X##zBM{vdi(b7 zWZe5~Ua=s;2Z&zkB_*Vc{X__FHLKJW$!~;s-Rk|GHP+H?{^H-SaqTzdJlAm1iR$PZ ziJLqx9QG$4_8+yJp1+(znQ~Z6=bHu5rQY?jSkAGzXUt2knl4SM(^C&cQphrTnq}q5 z@`qE1UK(WF({zW8*NcWz>33dz+w$`|vD?||qz7`;SpPtw1we{|7jQi>G+SSga19_V zG=C2PZAOOJ4Se}>(J~BM8!?k$HXfZGB(cYM`*xfkZefHp^KTwhibOxK$8&)63 z=va&%@g&aqHH^!c-GeY)p~412@kBvdIr?{ug{==WuSsCB*98-is0c0GdPW;A|`RXJ1Nc>`E z{_yFx&A}JJGI@pTZQ%1xG$ev$gv5*R;Xt7Ts6yL#25}gsP$jX9zaaOy$3ZjuKgt+M zJBql9CAYqwL`dRJBINck6OkzhCz&7T1mq4Gqa$xCd819$T^lI{(@?qbQkB``5#uiU#?1vG)68+-G@s z(kV%+c^&S{i(a${ki}oYa=Y!@+v{v0lRcf7$q7rGAGZJ#9bxjoMeEZ(^n#MUQLEt} zcvcr=9O7fkT-C|fMdCms5aM|}sdwA?`^&VK@^xi0RUvhR_mvD{DHFj;uHukR=*CV? zvoJH)!w~pb`9GLqiBSK$MYXr4j<({1n{IfGZD85>1uQCkH)KXvb|t6Q&8Oh; z8&5XY%016Xh@@r#%zT^@0AFf1=);7;x72&M}unRX7IDnpPD;e%Yejl4}pcJ{jf zr_*Tlp+W~d8=IVbMEa3na4CxRH`xlEAf zge$DlF{%=cRHlcbYK3}Zh!R98_y6G0e0NWswF9dx;aa923*c;oU(x#Z$=jQ?^)A7m zxV+P{7oRZN_daLucspYNb~)bV${>|GkBcs${{{EFe9MR~0?s-}g7qzNruN39HSegV ze#7ArVy`MQ5i6|}=PezhabR?B5jV%7xI3-~w(V)#d-LFnxb0t`HEb4(BVEx|CT$sc z+9P9kC^CZB=Wll%>d)|@y!~@aZB?X;Er!^Mp+sZ<%*_P4x}?0k8NWCGj-Kk&3GZld z5eOu1+^%RDmzw%?_4D)qq*ks)Adn;hEGRIv5eY{qVOPsOg`j<-0l}e+^@hyW))ov} zlc4rdg|K>=mvB@=rFhCX)?85ANM81@x8ul5!{aKh(3jXV1>@PEz6&oJX~{|yJy|U; zB|EsewV>O%{Jz{f6avQtA?*?VibKJR_)H=<15hLoK5F3R*z_|Y)g%53E-g@$j>SK? zBk?yjZm-p>y6W6ZVBSarK@-h_oe)t(dMpjS#i`G=1X(f>;w$a=jj~SazPm98^H5!b z_AQfQ;#q}``FIMX88TZ4=Z3(gCzScRcYy_D0MaI$p|gzy(|T_pmz-H7828P7VfOZE zclcz|;zaoP6c5ptlUq>SsymMc+M3kBoK5DB)?VMyu~Sk~Qe5LQe>~=N8X$AI!vEoc zS2R39XG?i@hZE+Y{kN|J=(lbwPDo%z<#B+14D;!nl?lD)6-{8#=Y;?-5c?4nJInnG ztE;VW;1FOPk<`j0kzEfMZE6#-0E}#Gs#Vtg?BAVP~3R#^r0=ce#ywr{<3quT_9$! zU=99EUsZvGA8d!J(%u$$B(3l_ZGW^~aw%RJL{8yZouRA#{FKKLL{S`jmoeryimArk z*0TSn1z4L$1_wi0T#J?o>zetkaMQ3O7wT|jwa@FyE#4t=iuA8s(TPz(L@L;*wEGcC zymxRNiyzUA`g5H26367IG%$-zK;!OBWPrTX2)eLzXMGnROT>|$*LdBLE6gl83l<9Wo(Fqpkv5hq2;*HlIP{b$x;ZDpP#dL`u%6Mx@ig`XVu^r+csBLF5ekp zb=uzE#+=2wQ-b>}SB~UnYi)$5#_@MI*vF2y>?|Ci-lilS;_{B4)q%t3noQ~haVBbY z7zo=6Xh&s!x-GR#pVv95G*l;Dru^Z8xi3%$6J)1&kVo|MNj$EsoA=BAN7Q?OW8Jsm z<2N!gA~HgSRLIUOvZ6&vvJ%ROD6_{(*_2h;iHy>;BBNx6kWmUDDVxeHLj2Fq`}_Zn z-*LR}@gDC}Pu=eC_j7%&>%7jfBLg~RV%HfC_X~=&L~iR=Y^odJRq!tJ;vT?G(&%vs z!`CalwN`OQ;!O=Xy8XL#Y^1M&8C&~sEz$J;IEdc~+5pt_TFa}PJvjH`2h;<_|W(8a0#+v=!w^696YA(m)+&dE|AWw21R z6=X`*)k*b7Iq~-U$i7s<7?%}bjKm*VS#}W1HmfK#K_C%1gyh}ucN;1JNPVQP0kt%8|sb^?3v2=ZJA3e_BKwoV(3me;Hq zRaI5>-b#a;o~~iNwb&o=(l{A#-Z=WYLaNxS*-l#UfYpeiv1fVv%`L{Ip`l>DRsT$^ zLr=zh!^!1!Rq!;&=|F%ZAN*k07JIjiVky_UsjXBri=*T<+_`kxdE`mF+`WVZyV;eJ zE%oJ-A-q2+E#+9}8)%HWjS8S$K+o5%{QxXhM5eb6yhtzzh#M{J+z{49FE}X3O)@yS z#7)vY2X%&&_U_HZvdE{T=Y``**Bb72mGklpMzQsB;EFRYaz@ltnr&`c^O0Sz5f-)Gkw1Q6W+q5Vfc>E19o4RW$KB zy~LR(1tZTQSX|*bpp*H%3cQEINBMoDW!iqBT=QJ{uP3FT&JwpbAwJ@P!MlSll`2i` zS~MD;@VavVGBP3leRS$6*Mq|x)S+i1M>@K?xB;YjK_U$_$jaz2|5fAuEJJ?ijbB9v zTtW9E5S$+UcI(U&ab2kj|C3J|$SsAkK{isa7uY{c1q(?@#T+zthZ{w;`+jb;nhod^ z$Jb!i!F6D5-nnivQ)IW}l4?RNfBTpg&keZ~j}3YDdOV_4?$kCt$z^9_Lv(68xi>)) zHBOy3Z$brQCFvC?triKs`uw3V?5{937dk?~mN7%8R>;Q>6-ap4PxI#^5A_CY}tY z*!-Tw(ETyCHmOND0+48jJD#NNYz0&~nWGI24NOf>_e0f9)?;d`i`$6|int0wlMep{ zSQ7J~$l{8mePPxz_x&FnWlq2f7_xi-%Bky5igQf{KPCM?R%KX;5wnK($myB*nKwl% zFCai6R*t0Cg5;lU;X6CIV3ZCw6gn)Z?(^_5g8^E=dfWnd)<_e{z_TW}o2HhQjAN&G+PNuo$t*sFpt@{_ zf_H#v6ervvMS7R{m%2Jy&~*u`A#W8JKB{#%iiIHj)xk0QwE5Kz_Vq+t$iMHu$c24f z9PMnFID&h@DDfzZL+SNo73$h50v1!0^g4DJur44uNBHH z(S#15$tP<8r;8VfDGd6f2|w?XV)4WjbsFt?1}ONERG%^)<{L;2P&%g`QryX4G-qY?98wJ zXa9Y_TCNCB;;g^KzLGqcZ-2Og#|&$YkIzg`>U$S0a|^B`D?dEZ`V`A|zlZXlKPOI| zM8wUx+bA7FjU8VQMK1*srw)h8p1)i7dWgX2^r^AUAYjn>a{O#32iws|x3tEHvT1rn zQ~YF2OgS|tw)a>iDayXb))SnBLd6a=Dz8>k}I(uvDAgJZ7aB3JB82r%yQ}lcv8$4hnqbN{< z8Llryy}S!s`}Q6^bf^k&?)bTQ%%T9TAJ(clGXjl1fXe;*Qr`l5vMwE1kU^)Rkf2al z(`8)Nj{W-1>o&l+x#HZNbW!uFG27>#s)mz%Z3a&0f9q1c(ZyiH&GEsh14YL19+iOF^|}xW7CP+4c!gE zu0Q}4ua7#^ek>fkWG<-fXT=jL`K~Q>pK-&UiqcXZjKv2r8et-*L-TN_Seec_^sMg4 zC#-m&$E!!zDS*d&Y1q%ns9$qOJtIa@QVie|M2ug6cv*jHif0R`_PZ>3Ro}dUW0nzz zwic}zvAPRd5IyQk>lr=y>1kr4wzoC9$xQ0*9*4CqeXdQmfcQKtq=y(zbk6(Yg3S83 z1E2U2<`1X`4~^R5azcI0#2K~y{<=9KLtK<8{>TpEp^J;a>RU|+u_u-~2j(p+p1KaG zKVx_MUwJyGUj3at{&n@1fb;+C$zkG#f>?RI*Lc9vAH5N~y-@mF44hGEDaZnBqa_Lx zmb9n(B5%R#^%|Y*g%SM$(1W7-72zRf_}HM%iWkkq5DLBxkmC6gREu%FNtBiOyLjD` zp4|f=&^|Ya*D1}~)>fNx6GIlC?k**zZksa{0q|R3v8Xlb^Yf)*@$a9#U70G7R^YTA z#yhLqPt*hla*QVRvS6d0#?8;Ki<$_aO6E>Ku&c$EE}Fy39Jd{>?$MpGx6ms2_<4DizV~&XJh82GfnFU` z^C3*qk=bR?SX%J*SO@-D>+^;6D7$8GjP=s5hpFdJo(8{SyyDfXSD)M3K7USDEE(I) zDtJe^8o8e~K15{y<@_l3$-xPfw=sDX{~_$gcM<1y2p~Gg*YMouOF*{|YU|fuLo$T0 zq-1p00!tKCeSP4EXevs0PL71&n|U7avNd9+dP|Ovmj0)AmRCaN$qV zix)3iWiIvL;^3C+!ql7mD~4bBb|OCJR#lQYF_s$g1@+5u-ZZHO=fvI&Pfph77aBtO z%Nq{LCcd9{-z;n+*m2j%X75dgY}MpiIYF&t&qIn{w*)>4Z25L_U1Cqco<9X}iG8kcR0TeuwSkHEhrV%Cls z1Kdu^A#gt50=sTRsq^l|3wa$ykV+jXVrNDc6v6w{XmCTRA-bg5FP>j-ff&0{N~)#M z-P3ayI*Dr+ygXS_mntG+3T9W_IXh)2k=|s zkt7Un#k^L51y=McheyCMioL+ZNmhc7kFVeS?ArwO@bSNk(D(-Svpg|;tO*wTk+rUc zXscFFQOY@-A*`4l#ct?2mg!f4F>m~9Wo7m3s_~4DIf{a)jcoFJmocogpQX2)atP-> z2#YTO!*N+HJfLx`gT3pPQ>I*?$AuA<+^_c0wtFyVVnuHx?_F841#>z1h1MJYCe^_k zz=CokAD`oFA4Z)Sl^@I*P$XkrJ0$8i36{>DCh@qhcimvWeOO<)e|HhZ~Y3Q{nnzkO{l5U{jh}+y*?cgS8XcYv{gvCt5L7vHECj0UUSj)cixe662 z-6&VF3dATFi_!$%@39tg47EBWa^POcZJ7)c*;edooGA)oSD6Dq0ndzx(>bFNc1Hn&jKn` zbU%^kuD*i_B{jFqhi44GBSX+d95tUARGlY%jl-?q8|0`z^dmr zqwz+~c4SBKUV>yK95P#?8AHnhm=D^WgBUh|*rab~oL9&|qfb_*;8;yVwhD4O*b`c? z@&^t?^l79?Rp$^=f|9WRH=6xmHVY+N{QJLeh~npI{;`6;2$w2vnh1t=aHC-fnGW%+ zl+3!zf(Rx zifWPMwST{jmwe&edh86}1kLbzOmkZmAIY5EB1u987s|{{AAlxC1@Crh_3i34|GL2x z&5+s-K@*p--8sewKj{-9^|A@M7)v@(x0s} zJ$6?q07b1DqtL?H;;a9B*fd2_lmF{Q;3Uy*kN+hOEd594zuc1-qT!{|(E7(J-7@?x zIs<;vdFn}`;2v7!RTqLKRg_nOkpxA55tNL}%m@1ZoBa7xVk}jA+kDg~bpN)0S~D+3 zZj$XPl>S3?FEv$SF?IN|7Tl|_EfApGp5b>h`L;u}TFz~2*bJMuNC2x?7X5{D>rS!` zCebYhuCEfPr_cFDchF=|!NN+SEWr7#w%oZV)RbI7KDXp@!zn9lZO$S4je{xz9;x z7xD9lC>h?%%pjYSyfi{|Ac_)2*79RGzE(&CFac!;D@;NaBIg2K529xY?7VJsW)qY7 zLwdn;PqM2Xyb+hW_2C+|$&KeI_{4S0$04!l!`XVCfBh&lGia&cfX`&14(7f#TsUFN z1+TAaA@ayy*aXl$5Ull}DgW%TuVU%+!&AcM0gQ2~x*<0b zq2d(K4pyh;2v$3lid&%(!iTB#z8D54?Hj!j|*BBha~+dZk697Phq>jz4c6w{wj8SvrT8i zR|!3IkK8?qD$Cf)$@h$w zHXOgV|Dv5JOYQBe`gaNrzuI5a>jiQa%ZJN=dd7macI@0ap}K%B4du0Cj`=qqF0j+5 z`F`v>^5C{{0{+O2n(wmgDe9Q*8{fSnnLziynFG%&svv`W+hq@r`^z}WHZa;R*M9+$ zMgQC$x&62YZW!xWw>iUQbG{Vf5UDA22wkEvVAp-gGcS|PyJw%+P*i)CL3jk6D_R>J9v%-C;^n0|Aatv>be9LS^rnf2 zUo7UMsCs_ybLxhdIh*GDs_3s+l@Gk&MpJYp~YkpixEuHdJpY8)|vM)n%~(^r{|j=8150oZCYQHxruqHm_^rD_PTeX zSFOgJ%4!egCXfmC`Ilf92FLs&?tW`N&3U{>2fgtv5xH=$k2K4@R)VMH-^t@MiU2Dffo+mU~n zgNzW!}BHhGMtk;)3D$ zI9($ITH_&F2V&+1m5_y5k5Iw?*1d4Q--K3IMT6+vYhZ+fR)ck`3gP*9_eW!|Rs|<@ ztu@rVSJ5A2cek#mknazQU&MmD!2Kz8mS4q7|7H?B_cQ%N9v*U>jHbwVX`O?&X}m!7 zaU&aRxQ&Nx!SQSxOuZ-tp#Nc|1Y~?r z>g@gPc<83K2vPRJb;`n5R7@-oW+Nnvh9iNj7$8h>SEhw{kDukC`#~n+3MQlH z3V6uX^xLTigt53I529bnGhrDB`HK~}hIoI7Fc~&C9`QAq3+UA8S98bYlaUjbI4?vlPAT+rgFm1MczU1_6eTM>bO* ziU;04hpqq@mF=H>OvVGF==;-cxrMCCVA2<)>4u0y58~+mKWbP)Wu+Q1!Nm8UNn!M= zrOMFtQ>yjwleHRP-L)ulOev^gF{)2z{VLax3_T3Nvfs0kL}c=<_#Vpe=RNq*!6k@! z%Yg(x&nN2n7V*K$!rZwxzlmB1%E@iQG`Lr@8m(F2Xe=BVg%G*Bilsp)YAvy<-J8(} zV7e9%!E_zBCAnaez?wM`^BH@0z6ZAl37`vKxs4u@=?;@fd8`4Zbk^CK$R>fejj5Jk z!Rq4f&JmYumZK1HuCBH=sLLWs5SC`*&c;BlgRC>l2-u0@X}@3hdQUR-@-I63p3}5q zRa>Nrwl|1PPX*Skwm{w<2qgGRe;3MwD}-lVV!7x2k9sPPt@(@ zHav_Q2Wsl-LPB@Bs4Y_3S*6hh0(<1sdx$cIw8X5&<<~!PuRmDU)S9xS$M%buc;nds z=EVIFv~^GYVOwYCygAKW7Rd#+h2dUy&_Sbqv2NM>aja}4Ztx<_!eGZ;X-ACPO)W{W zu_wjSs-Zsa(E&TK=`{cMkyyVCgeW5#S9vMU&PkR;>ST@M@Z;Y9u%`FosKNn$>5I~5 z&o5huW@NGte-9^u<3!SsD4;DF53d;seLvP5_z&nG;D0*ELeKL0(> zt=_EyL8~TQnIl!7xf(yZwFmo+hBL2#6iGAF;G-5H?e1zmALD5cH@6xnxW?Ad=Oe-h zkO4d|xxz%;M77D}-pjOLfz^u7WQkmakI=2~{d_;^;DJC{3)dJPwW}(h4qAyyQCgCm zM44ZlE{;J5VnDOYa|5SrMGV53y85vtr(@=^`fqEQyXy2pVKGj;l0v?;LKk6LOo^Kh z=8HDL7z&a?f+ctkwtmIjiY{NL1USIAssI{_|Av*7;93^z-WG04I%NlU)Y;2{*$L^z3E3WY)=N0Enx(KBcz3~>pey@5Z(pgijr7d z#(zh1&dK2n)0d{EWR`)G`Ej%dl@wWy_S4`5X`zGtaxKZOhhDIN&{dW*N|;DuA>i|^7ND|`a7ri}Z3H!WlHo^|MNL-rHgBP+JyT~R zM10$xnpd+)I_K-hJL`->aMUi*i&q!eGGQ)FNozL{M_VxAMynQ>< zdZ>#YJ7J*1RrU4tR$mouz4C?kwi>QM*#lon}`|!_RhTU z5%7}uDv{j|V}O^H@Jcp#Sb`VvrKJ(IIp^Z}!2dbqHYslyu>59jL{*!wluOo9be5MQ zw>(v+ZQ=!}Qyy~=8wQZq#4RiMiL4oj13W}-KoI=;Y;BL!!U%74X}#(nE!y^Q`SsN) z?EGwj_}xVCh5>>5O4Nf;Mfd7|CJx~2;PSXI%PYAhR3`7VAT_=1gZyTeEOz$J4GdBZ zy>z(;17tGz{6JwP`F+Ik6gA;2ln#5pO=go!RXk1V_HYKCxhh8xIxyaoRT_yDmXk9a zO@Yz{xJ!J^y>0Y zMX;yl#@I{I$L!6RAVhWS{2$jyh1}RY@k%ZImCGByJlrpuXi;3T)mHIa+B8)@x4~!O zR}|34!1IwMa&m~{3BKV)%uexj$>mXqB{e$1kM~_8cRvRV%{o!Hiz@>3*co_Pr-O>U zi1*?>M3t}OM8&bA2}XJ7h>0WXK3C<8fzAws6XspTcYK7_6n?`<+5685t`e~HBpbv; z%d3x1Rwig#2H!z$AGUKOWeo;2D==8z*=!{W+xZqQ$xR>D;MtD0jMzi*E4ffG{nX-( zVAN#5KgTjT8gEw?CQ19AB2f}5mgfikR*Phq0!RR-rD6_B>zM=4LOBS{w7pA)b z3BeR_y?UYaMO{5V&`Sy8!`W>md~#c+0gtDtSIvf?WY7HTeMJ9E+;TLmU!a>Ke>|*L zK+%t0e6>wMo%5aD9jh&60k4L3j69aiRIrYz*OmWh%da0_5WsoBOWP1T!9Jlj*8mj_ zh4(x^`LcNT+x7>nNKKui0|vu)U6}q>@Ad+lM)qn$Dsyl(&XG?N9UY2+5@A!VS+72j za@cP$cQAvL)o}h$0T5l4o@l!uhHDq!spL5(Kq$$M~hAGwVFw6Mmr?F7d>8_e37a)QZBI3 zCMBl|wP6iGRup@cYOuAl=Gaa8pY~)=7mI0Nk1GVG0oihNn98irxct`d^OcUaGuu`r zhNagTv269%F0Y30q6)wb4CjMjvt{+8y8zxC>{tFlZuDr>022HA29Mv*eRhX$0)X6b zXsG&KHNyptiyWOf?o&LHNlHjrc3JzS$?O{7AfkEwz+xd$wQnzVWB^o=6>-SP=h>|r zB<@i&LmjkikMfIUUGa2%v-cl9?1-7cBILu(pLpsdlm|0AJ)X=4pr0_~;)D-uNWV;- z$rdE}lB_RsMYP^iivdTMXv5!xZ&Y$0VLo&JY}xP@etvZZ4RAM*`a(RKZ0zhN=8uM+ z_1fA3z)xFUodRem3Y$D&;JWSf4d~%XR0N>g0gUyC<_N$x87_E)EJ)!UEW}uaOA&)^ z1eWsF162X}1qI){ZN8Se29>lIfV`M06Cgi=05GISM2B+wdV6P_dG#L%E+S?{_SH|% z|4D|i96wyc0}aKri4EL|4>vW4UU8>tc!;{tEda*d19yekucO#e!+FhxnNP_@0OO(P zr#M_F_)NqYjYLe9Vn6lz4{$4d$P9}$qRGN*{2od`q9%sJ8!1xX2M3`piNVmQ>)vx{-*?J0!dQ814{+Gs;J8}<*>@BXU(*P(CK+o40EU*(o5>RgfNN9T zEd*+LM?pgYvW550;8%}C*{?$(iPb|Wgqkx=NIs;&$-xfjI=A0{z$&|YdOobSoVq&t zVH^oFRe)&Eha+oL3rnxDHA3UDu@NSa6U&QX&&Xg+r3RZkhWv>X&MSu0|?SpU@sPIn|x1 zZ0@QsB|{KU?BD_(Ec4+{sl~x#0Stzyu_Nu}jhSfjO$yG@Vx18J17CJ5Fe(m&kaWMp6IE zXB=_Z0=ed)Zz04~hXXdWtEpc5B#v@EQr~gtc%MWC*}QRGscx`;4l8qIK1z6I;# z6t2X%_dICf?TwOyy<(Ca-?fL~b?IP*A+{8W5Fxrxz>tq`ZaGb_smmEp8tT!Abx62v-y@LNP-H*a(k(2)fY_khaLA zdU`!zASJu(vpZUxh)S29HcG% zZT~sL>Cpbe{q@8N9SgG=Ax11JU}P4Fm#2TMhOVRy>l}m%1#jJrp9PIMNUwo7X_&8R z!2^nDRC(^ObJwmExnGE5f~WIbzp28dKH_>znm1@5)G?hOw`to{>KFEVgOOPL-k-tE z$xe@?Tqh3#DSo7Ga)ZA3nxmA`g@@MfPMSV2h`-TuKm@DYU@Uwx>4v;m6FQv7XlMkI z9@A1jir6vYd+siA-sU8r!7;{obvScf|Az17W zLTxhETOx(KeV6^O6#(PXuyF;CWV^8Nn@3f44l~%LO$=Zlu*Dgpi2f^p4GC7CN@7VZA7s=I(%za zY@B1Te1WU)6vRptyo&BP;P6|ub?z9-DAs|Myd2ldk}gPk?g>Zz#M!x=8ZBs{JM5? z5L+~1xx*{3Mts9L>v~T2H2OsMj~~q~AzQ?j@*JLR;M`w@bAZ+;{zj3fH?!>-t6`0H z36@7esXM)>5DZ-uZcd(6mq5cwjzxZ1nbf-thi%lE>9%P9O4@NL^73tg6=8>nd%_nB zbUs9{vLqJOdb!eI`zExFaRnT+-RxoX18Q9_UHrGm3B_ynPnDKl`6~;pe+2Hf1hIFk zuoDjaKW6PB-G2`-kRt~$Itvh4l8X0pQ#k?bKSR-~;s*5AjIfQut2T)0O~yRz-0M5I ztdM*n4FeXEnI#Y`ASYL3*u$GZ@Ia(I-X7xj7G3xi!|P1R|tLMS13 zr#+(gEQI_XvNeK>V(-Anl`MK3_J8`9wi|^Q@j+ZipZ?cgDk`15R+_x!_t^g`6M2 z3y-gcNg2qJ&D4$9M zz96aalrZ~Dq#4mNUD+&q+g1A*L1r}>&L};GTtQ>I#OW?9Zf_R6;}IXHx0P3j=c-q6 z692sp=K8WeE4cCIYmW=FC;xnn4t4Bc|dV}yRUzIa*Y%Rx_UHSceGF4SEcj#)t6kd_#RFgO)bqi z))zNSf@U$3d4>p-D@T1cxzh>)k8XX+VI;C!QPFtUfpQQm$fQVRucDwQp#$0pS)ov* z!CFeKIL;6NI#&95TX9SAcjMQ@(U$^gi2&odNsrl|H;bwz^Ty+aJ6LfJz;5$@eJY1u z>Rv*bQwh3u=uo&oh1Gu>p$w<{|2YAu>oXIdc4JiZFa8QD&>YtiTC@nq-CWu!| z*EIsdPp9?xg@xd6?;ouWDJWZoDx0+Ed6wYnoYG%QXdV^_p059aD`AdH5g&?4lR>^J zf!l#pXQY-DwL{}zbQ<{EP**g3POk2Z=}Cj7V;ENEUIC9 zzi--(pP8}7R4Z~J=?TxSOa9JvE#DfH1UW($6U^Uu+qlg#0N{tCxYJpgPW4Y{!ZcKx zLt!dPGUzD-+Bf33e(Y<+eY4KJwGg^@B$QBeD;Lae;9EjBwgD(As-uE(8yPDwjzLF# zD}5|rRvjY>=9)vQ-ljjkR&K+t2@I7$oNs8mkmVi>=ejL1gE;+yVA(=RpSNcc?HO%9 zdt5|-C(0Decy~dP`&TD7PyKHoOHM}#(g_9N!wVpiaHU}T6@xzK^)0rmlBI%TgjJm( zO%_sL*0AiSy?z4`irDIZ$Biu3V@N1Jf`V-bVBQ9SfUJ^Y@&VQetj+s8y&u%*AMw#TTt|F zyR(ewRx_7-HnApD^&J=i~GLh!@MM)y0cB3#M4Pf-iLr2SsO&)_&=pp#6fHdPo2N zGdH+iGJrn6de0I#oP9%!c3?}xWpDt9KK615CqXYzhugwC)Y5&OJSJtx_*sAi!yysB z6NhakQlL+}8U@TS$1FaY8xj~Lq`ax-8a$q_Xc(W|XU=nBm$+`rZ}Y8ZAliZ#aL4Kv zjA7h~m7;V-+dI0K3-b?53L>xso7a!8T@jU47r~?{ zlH2Y2YOh@VRqBEBw#%v>IA8=wk~y(63Kpa`3hb-L(kz z=fjnV{=}b0dy@UG+O@3|5^vEzMf%QHo>JMm$$UJqRZNi7=0PGK*TnGBjP%-Py_Uw%^Sz4d*^S zu`@Z;_I8HRomZB7T8_vR%E`Mn_*uJdH(YmXOPJrt%4*V-YU)1s^CKIWv%hY;H(J)V zXU{_G=U>WG%A=}N%ia+;BE8o8`T3EYK+00x6}-!Y)BiL{` z%KD+@=0NL8o9@Zv3}lWlytxm;&)4IGz^5}2gGyw&zB&ch699jYzP~_d3_w;$UwEKO z6D&LPZn(jj0pU*sp9EIhzEWf+flee0D|jMwGPqN2i|9QPM{OOuS~a(gdWj_(+*r7M z`}X7_R*XdBKo2gd-+HmHw4f)j7i5wTG*O`QkY%UY0S?Ur5=v?HK89RyBF0@}QgKE3 z%9ShYs>Qq#WsX+2-1mQBFseMEOLUJPStjAuX|!%IXdgo?2phTJm8FbYRDb~dSi4X+SI`6 zx_1P{hspTQKOikw`5d0swXwNhw*VVjGH0V?-}{pV+ew%;Y(|@w_@=J4H3U1xfQX2Q zy0vL(Lle*)z8>0G{egC7urfdYrkU3UekJ{nwnmK4z8#i7m~6vPt1z>$peRbioO7L} zm#~69-bguR!wXwoY7*i`c`Yji+PeLZIY%CKDegtj9SVOi^Sw)8YL8L7dTez0`QsUS z3i4B=9ftwv-|I-X-@JJ<*SIvQJ`s5T&v;qse^U?$v*{ntAcGPhGZ6|9Fam-)ndD30 zq>kMgE*njYRaxLM>&G=cs`I?(PJwmzamq|t8tqX(Tcxhv&!5*TjXh|;XcB=r+6rcq znO*2O#@r$I$~-cFRVWl$thxFI6+ILFeDn0C=M05I2Ur_YGp6V(zdQ3E+-sikCTzBt zVcG$68og9)7pb66xUVpf~Qj7c8JxgS|qO;xM`h_>B zg%jg#f>8sp(?p07z996WWY@8OX>2?B4KRRJjrYC6J3hW9l7@U0dxPuFUJt3zq4w6yh!8>c~5`!4V@1vb^+J2?Zm( zKGz;zzt9>55&0JumWu;HtWMACVdlyNw`KAVp?BG-qN<8Mk6`V9zz%1+t|-o8bWc4z z@x!;T)G2E~cA^w20l;%i zFXot+vBL)x+kye54g3wD9d3kuN78=3myc|@(kLvTpogc)?FDw4;zl^2h|56~gmW&f&v>fgY?G zB?okh4L5X|B^agB5^ey4^Qdgc$+eKL_~FV-M{Z&2Jp| zOsK*YL{Fkt4c{+(qxT9a>`TeUNtCsZ&Ft~-NUDfhib2m|ZQJ^Q9Gi}gV9+^;VNAQd z9DzFT-o5+CX+1OZ{oL18YB$oG2C!5EB*W0=+{~Z`hPxPeIM?Vcuwls_Oe}BjJWAVJGA6#;r zPo;^YdET+jr9ifd{Y}rCyUfHD^jDEnCGC8Z?|%IR<>T3e)Hb~n{N0S@vnEZihP(RRTuMW({Mad~uNkU5+xe*BbA3~(gfVxPZA&^$HLu$i zUc+`-v*xU}N@J`b0V@!o1Y;n+U3@`WAO#TuBz6wp(040cS(L_W5{d<&0DJ)ebP>b` zINx|iNQSNRDXty_V^je9v?4} z{R=aKx`LTWY=K)If+VbDnpKo36oxXi; z^VF^;9}m2UU;dBf$+pngy;B>yP?Z5opBeCJl?q*xK$nsQe^ttS=Y~+OlfbGG zD~b^A$oq9Sz)pY%tAtPH1dt05xlD^TIRSCQ;Ci4k<#aH3^rl5u=VxX#3=G%-8Hp!+ zWhZZdwiQ^2oCkaqLIC(`obfg}y6r5{Wqt!nk;(5FN_gFvBh4LFjYX}v9~+#h@qd`N zHNlFZo)al{hoa^P~&0p7Qy{QU8|<(C;0#dLD0Mk=|m2@iTB;KZ~%Yo&Ug3 zXyR&xMbazXi9YJByL;f0-;xlq?V7>pOM)Zsl} zEkA^!JEDF+35?31Ff6ZEv7q`1U+-_^2jeMT;&=+ZCCd|T+%gyhpC39n zhh8nod`_k1@8P-*v)qU4kEhxoT+<_?Cau0};PbjkO(T7MfyO9tnD*e~*B_O7y$&8< zxDV1Xmk`JkOHIMQlyrmxV(8Mr>gL<`@6<4LuhyA=z0hBa+BjCTj02AQ5vjsrIMKxE zFcNYrNj8e#rUk&t-_c?bn;ZP$Hbv8`h!Fw-b|bg~pq-q9B*E)j2si!-x&E*gdij3z z@2ppT#0UaW$(%(#7Rlj&1NGV@95R##@r9Cn!Yi28AQ;TvD5J&~8B{W1AQm4O6`u4d z9SbPHcw}~k@`-{=Q0}=Wge4^W7M#@0+JC-)v;v+U@KV$c$}`-QnD6id5HHYk*48sU zj(KqXIGC^W`L%C}z{K8Z*5m!4=?&oZ$3huQpB9m^>o8Km+KQw`5iA8{o`<%GDp$n* zk2tivOHn-jArJ@85d-A|d(}5sQEK(Zf4S>9)()?xH+OrB%6z8z7ElJvV!*^A?g!QG zZK^n4^gtM?0XS!Nst`sdd6fW4!>v67Q(Y1q{O{Lgo8@5G*fi|AiKfl=k-i8?F~tid zsG?#%Z>q^a-Y*O=OdlZ2=xQlePA|DDd*vR6oxneK@m3h~sF~<1EPw#ZoxVq;|JsJY zvB@q7JTdUHGQrs=Jbe6kJ1#z#h@#nwJMVw#^^R)*o523WXJKRG~j9BgK%F~8{(t}IT$dZIw_7*LjF<<tIR$DfktWSgeYIp0c#2*cUczCpe2_FR^~X+@_mD0eF44%@1)0pSrLcM@ zS|7Di-DW~NgdKV$m@yqQKSoCE?t2XOzR|xlck$e#0Z9=NX|qC*4cFP>s{fTak*z?2IDFE%YfVjAB`Ws9fqEMEr0>x&AJhcJp z>2)5vaRlnH;lPqR9E^F;0;=p=W--~MTvUtFp}`92zW*SneRkCX2daB@x6GAoSEeiR ze1$|r-oEugt|b$=BX(WlKh6rgiY^D(4)wn1z<{ov9_Qr(#V~|^6Bp1-?%l`HzeWK9 z=^wj*99AsQ*0D6r@N}BynguauIxmo4`Chn^@!8bo`_`>lGNXaNo-Zj#anKLwm2ES; zIVg4i+y3`$^f-6*unJ*4c+jDSWxVN6?cTAocJT#A^T|srtE1h$Rooh!E2Wq%$nsok^QfCXm8+uPl{PXGH#NCInc*DK~dVjT2DNKP)UB8&L> z`u)LTYTlG0ynA=^P~q_KunjcOfunV~@GQQKfCz=Jpe}t!=OW93iaQI1Z7gBxeZ@q5 zpyMT$-hOuAGII5v$J%)QFS4}XpI?+=XJb>h@cKr(RE`&}4L)9P&z+_S05lYqkZ2KM ztu0pcWC7>ZX>-dr?DOxVKjWGMt7PZi)MIi{$mv?@0}dH(^mGS$t34_Gq$wyi@5~hY zy$CF5N6F>Ghp&IK-Q#o*}`C`r8Vcuf1OUr6@N$g3jd}|FrE5oed_1F zY{&-!koRk^XX^O^eNQEKJaNN?amxFP$8Zzp zlDUh^G{+gm9LvhI>@sk&V%t!#Hd1UDxeq9~ynZq~t1Ut8j}zB$uB>wT*FI|h(&{vd zK;e)?qg@@-r~g74uP{))Gwz^L2N>sYYG2`VxKG6p&kAreTAu*pSQTnhUEtRn#q%$D z!aS0Xh(~IF9DtSyH(13)!?BQqG6XVBk!iBYn8)4^Fo>h}hu=*&-0f~*FP?(?H>^0! z;IXh&`84%sV7`Chk#-$>qHjvkM7BDyvVUb->x4I9%8HHaq-`Sd-R4DN;MQCBn2H9C zBC0KwI@X`i;cW7|g!TUX7C2G-dEA%>dLse}mECL}G#hRiUb57Vm+%7pCsMLgXzW{U zSY}&(7YdIHGWSRVJN2Y$e`*C?nB+FBTo~4XQ1!OisE2?Df=Tbr zi$9juV}#|c_Lp7Qy%B<9mIp$yXX>~ewt2X_lkOLuwG4o9Fp}O?_2oj1 z57Ei020VZ9jP28^m*TvVE@{_Ry|3V3A&Y6)j_Vs4>4@rrW>(<*bw6*?E{G;XOrjv$ z`*lYJgst5#zb&FeekQq3a2*1tH7wGux=JKA7l6nQAM=w}J7J1c9eNq>rJT=8QSbp6 z0Mj49|Amw|0+HkzKH|e~(2wUxdS3oW94L#2udU8)TOuP%WRIB>^PvZfl=+_=e0)sc zOY%czIjcW=>p$-cDWIhh$06)!0}+WwqPWnpd4~8-B)@v&>^r%m`Wp!+w9UMf_v~p6}QtiF5#CHhn{Mgcw73koy0$@B^RNxQJ=3fr^UH*^v`em+)LaJq({=r?s?3r( z>z|5!yTH5dOmj$BNfv1XK1(C@YI$nRw%#NByA_H{D^K$(_X; zew>Y#=+rYHJYKATcw}9a!gPnK{%AbiaNBp_!2%iVXS`7wkI1(l8KG*uL2wq zRNtF(i+eQO=k8U#&WFdhJssRhjD7*D<3)OU+YxJ52Ey6OF>-wKz=9LwV0-P;@NkAk zIRW5cNy_d!kyQ#gTlo?C6Y+uE7G6}CS44L2CXxh<;{{L*tY9Au0WJ;6jR#6cLgQiJ zK+>hAKN(w|I_-TyKd8w+mB!@d4lNi>b)?^g&ghAp+MoY(noov3xkD+Gq%SVVKxOeM z^HcgAtLvE=&z?nsY!LLaf4U1~HSG@TFTH4_bTM`6jpTf~a2V?azy9`+5zGYhX^v|I$u-g>q5Xqy1%g9i_Um6VdQ zwQ4oa3!zJvV5 zo;W-S6S>!bFTW2DYu|f)ZLOkg=W~YQt!`y~!au{~d~in#B{q-m$rjnmeD-k;OYbfL zfhyroB>5t0XdHT{1NS5(C3ix-x&Qo=7K!-dN48m?ZC1$BT{W19zk65Qz82;kjpIgi z#Z7Iz-exCGXedSR5k0~X%r*-jZ^l_zbMCagpsgKZwVH~t zbId*Tx8Y;MA@rXn-4RxQr_ax|Z>D|gOS^ef{frC@4MlhF-VUr|zCw^TShv={*jN;1)%@WoTSl0 z`=uvUITT z*HIu(c(#d_+P5WjAHG5KD$if?CrASBArb6gVx4g_H8C+b3`f} zs{9H_^qgr+Ku!Y`x$CGzOb+E7ynLWg;SD4wRv&mP@MTgTeTMpluJXqIrv{J77rvBw zIV|T`_sf>2H1M#@xQD&K8QU%g$60vmTBv5V#O3vVYPbaKI--`1MJrbMx30!C66>!)q4m*m$ z6b0SIhbeR^ig%jd5TOXZ_7kQpbPL~=a*xd3y*P+={q(?%hE_l+Mr>ZS{3gjH5{&Rw zTr8a;9bTA$bz2*5SL@PJV-1$4Kydr4Sp1QQI95oICI4L+ZQYXPc0J?C+{Ruzur)Zn zwrtK->-SqY!@KyVwzhVtyw)1IeAK&LYRmk-zq$UA(;b2z45}RK~B9U#Bp6+a=j%ut1mIcfrTy(Sk}` z?&X^y?01DWhrhR|R{1GS6Vt4s_G+J$L<= zJljo~_wz=>g5?AOT8Nu8*kGJs1!|%<&9!)a15e^Cz8e5+)aV$(!3X#btu-PdU*7V( zq0FW!ocI?Q56Hin8sfOkS;2w0a|t~v&`2^Zf+lXEgmu?C(yPQMKN zI518#)oIU&mk-;NBGU!Ft0$*^{gS*s_ZG4V%)}(+>BjeW2b&WbZMc;0PJVnGgt~v! zZSsjEG%iFbjldSq2OakP<;wrC?Gg`Xx8O7}Dw z2yPD&?*B;?Iw(l!KZ3v*!1Tq&#%3k6&8S)xxiSIIAB)ZQ8f5X2QdZs!dx#no zH5tTyXDL+p{1!vzIj!6}|NbanV0(mW4<-V3H8N0f_Uv5Yd3xrR0$4pnD?_3-;5w6e zMCrd41HkesKJyIZ!J<2UT;oCV$}Akr6Myu_89yX$&a25Lzx&~%$Bem11A;z4 zs#stV)e=mNw}PJ(h-e@ynmVyH==AN2{<^ukZk#@iXmY?9>j1-QLx4|kaTv7w+ znZMHGZ?V1)N-Z)>6aSYT?mEWwZ9-9aeRgH9+b?*(+jZ#$vjr@d$GQFo z*orELp2_GEX-y3OHmn&j{qc&JYe*cD?TkH8>h@BDwwJGzbhcW_b@2;63i>U)vE(MJvy!#+0>43ch2`+*Xcl0& zos)6#@!HGjS#P=ktEQ=2?VlFeKX9Q}JHof=pUXOKU9#eZs(t9f0eDwuN6Dst=8*7kD90fBG7vr%1Cg7yqt00g`C3GcIT9(qOfKk`fQL{Yt>E|0stYSazoNrtZ0cl>^ zaU%`-ya6;a<3~-Qx3;*5B5Z*ZPE?+>RJ#(Y+Qc0abBcOAL$1FR-<2jeE(*R5OX&TF z^1VI4ci-WFO8PIy3>-UV8K~}_!8exV^-Gibg@5Uuuu2rw(o{rM{ipVn%LQT!{AP#n zOqyO_uwL}ScL{;Qq2BNJea#PkU&6rqq|@Uo=(=aF33u<_t#Yd%$=N(K^ z#58Fre%M+$>Kn!XdziV&$zOs+>_;Ulwp^)E5#f6EV&cME3NuRveR2J(f4lc7sCb&M zJ+M3`)Ru6xN@0NOXT`cvVgIeaq@$SpsboeH`Rw(Ej=eDn(vzd#VVI$G*FlfU?dg#F zO6XkQiS{$HEP(+V?23Ng{+j8z{h$c1$o{wGIqxnH+>@yfr)P>RZHo-80$O+>TrHKm zVW_;}8&@bD7I8VoSwkb_U2K5gP8ld1F46#`>k$B%sQiGtqj7)~WJ12dM~*t!C~}

HTFbB=Nm-zds`Y1o z)OmdnQij8KWip3)&sV&3POiV05#?!Zb=Yly6g8487F^eXpx_`(36&rTa%8&Xb;nS` z2k=JYrrGflp2yawLi``F@#+SwdP6Lb1f$T57k>KY=4QeL!U=>TU&K^xhtQ)%rctW7 zphdV&vE$P=?Zk_(MrCL(U7DWMxMl(&h> z%n*6`JMyOipKtidB=!A>o1b^fumhfx1WVQWG&Q1zp2@3?J^m;)nYK z#Hs4H3LJlvBTWM7QKh)=K9F!$WDp35nevuyj|)txaf}Jc+WwUO%cr zhM7*A<>h7CH9txE-BX+7n#9`ro8mxGh*bc?sUGbvpO|8lospEN12}2U5wi$%59R3L zA=*>%f?4jCTQHv&$m!j3`KHuqY-mtJcqoii!qi(;d8aq0tzg@W&(jt%oHc zL?97rWnM<^EIt3L1(@S7{K;j3!;Wf)QexH@Eaej)cP5yjz$^a~LYfivwvRGD%rix= z&`KMqs+)R!{l<-gqkB_b6GUo-PJ#%O?Mo9W{o8g1(ag6-%D|$Ytjb1W>Ajtl3AR9u z12eS+D-%J{0`s@KHCT@{<>k;9mht)Z5klk|NoLP=N>&s7v)=4ef zcN^|!JH30{BK;5DhuW1%e6g20<76+Wc70q=+knF&8!?a_&N7i3cnA=+=S~*0JCi)^ z&PoXQrCbIyLH4RPt59!yIddl@r1I7}fy6JPBovj+9v`?(oADLsEQy((Ae2~xfsY!> z1hQ5;KUw~?5r(ob3<+x*y?EmHou~y^4qla_#L|F)M8eppUD!W?6*kq%FO_UPf2#(| znm?~|`xbw@Ctb8wEO=5%?Bl@l{o!_hcD_Qs-*K0qiosNy1#FOMO`O?E0CULDmUL7l*IH{HOUvB+ndFoVg&M> znOj3mcS}<6=*8KDjpCC<|IQHe7;y3wg*^QVjGiOuNd)-#Pq=-|Niv^mIP)wktVHWoou6A1p)DQ%5 z3vqG+DT?O|{>x{|`XS9it6VqplxV1sxboW$#L+&HjON*QIXt<=xX3q-FlK;QPaZ|UydeesyJ$>VeCc7rqbfJ^ZwaVCO7 zUtjiQM$;m4JJvg7&*8fTkCigUXM ztJup^e3`Y^U~@cshf9tTl1hyue(;f-7K)CYWqO)D$S+Ph+P(DrsR-vm$rP!M9k1PJN}sIPHVQ^L!- z%M1F^7==rZKe}z&|9}AR&=`;w9suvKlG&VkgTRU!&EmRB^a(&~MpdK@>S2Zz)&Op9 zZW8SWF6nky0qmY;P~sAC5Y{6?%tOPb>rw`22^3f`cqrqmE8e-|0ZMA@_5yAD{SyQ_ zig!s$9@{oX80Ds^7~{LQL^$hpD`{wG67l;!*=!$}rI*_G^QYbA$*~gIsk@WvyiI3H z+-6fl6W$$?5WQ+NGnXE6R^Y1&fB%U)jJB)xTh6fZ@IK)LB9g0V-S_L44$P4?2kk?Z zN;Y;2-2L9Yhv8_?wR5>H4{kQMQeW?X@b1{};J24AygITH+r`UXwjEz-Okrqoz*SWS zB?cz9W{zsBh0Pmso`R2c!4z=Ik;U-Duulxljxd^CE~MR-_{lrwQZ+L0A_%XA;_! z238NhdgWR1+*zS1-SlZ;`2KyT>rz}&?Pbm-eE8;Iq4xBI@JRQEslIqsRCF!Z^R7RT zxv<9b8~^dVwIh4`5`tWm(qG)uk$WKz-C~IGabi=zq^;4A%@hQR(VyL-wMz0Tp$rc*)EOK>a09-avL5K{JPC}*1BrAIkRD4mQEp^yDH% zIhU4&QaV*DhSvB3+jG`Y@rZWA)bhmT{@*K7H_UzH+;H2TwaE zx|FY)g!wXz z3OSV}rmgSm*vY3m*gQJZb{#NxCF~0zGp!3RdhFO%ry$bS1BhV#;Co9F9(upOoc-S` zPGluO7JL`y8E3(72)t-Y-&mMQ@GoJkMg<4DfbOq+I7tPuJr58XqK<&})wayl)s^(& zk%0_3s5ihfk`Ku~5eGChOTAWG=8IcE_igF7L7!TbDCuk-l)2`QPHfb&GEzSy@>7519Pg)FG3>a*A=RC{c;aYul6O ze4@(P_eU~iE^X)A)R=@_AR+nvIruk5hzJVxLNBy=m>V%}l z%6PuZMKeiVD&aaV{J?`JS?j+ec6<+(ztZ2WoVw4YDQ3WI^kr@}*%i!`yO^9k*izt{ zSn*yo1lxE&U^b!&F!lc1dL*SO$MP__Sx64@ty?cH8@(q?G3F{H0>MRTInh^vWC=1$ zWMgUtS^O0D9zLG;KrurQn70A<2jQWRZW;o1RtYJ%a@j1Gxf7%69+%V^^p&ODkBAVj zrMhzbVz9!}g*vvz2Fub`{ItUfaV|Q1U9g=k^f#JfyTx%Eol`#bW_dj6PY00wm&zS00D)vvOmV?B^=a zoZvDEX)vVXb3hr#cRZKwgHfl+9Rwl(@Lk3B=-yjeesX^T{(Zdc?3|;U$kG#hTonJK zCULq724yyA5rIHy&Rj=beU;`c5vDUU=i7E(xTpj`Q#3m*SKZ1|o4sE~mL8cWuL5JH z^5A+PYc5_e2k9~hF3!kFO8m{i%b91u_Up!{2lv_R1Zju%Se(?;Lo1o>>=S;?Kh_3@(s?61n|3W~!-7U;^<6mY`0K*Lj|ueIoZS?YX;Y@4k9u|G%mWtElNW zUUM%6W5eU(jvSnJ?08l_^)An^EyFKmVFC}y#N6EGg8Co)*2gfb65|$d64l{lI4V9_ zEI>N3YoAR{?h@)~^I}-}Z%ifE4!R&y_uD`o-q(m){aD|~px@tMz(jW(H7u|>^XF3g zmD5`-5Qm6F&4cv^6o3*}>}%!@4i1(=>J_91?|<#ax}MxCp?ilS<+bhnCzD$Gda9YW z!$U7#x*Jv3rrEH-WkHgP{(P6_RSpOkIKbfBc{cvZW7ok2DVr;f{)>{LCK?=3KM)K!6*nn;wfZizk$;|IHrdE6J%>JwP}NY^Ly);DlFkaRbq%q84AvZr~$ zj|7s@er3^K*0DQ=YZI2@#IHYCTgnT!anon2&bFK_RK-z885usN-GAfJ=@c3PFRrQG zH&V+6-kyDFL)-eY?^9h}B@#xVBlpFj1%oLa$@B(Dk`3Jy+2j!9C;)H|A{+--`}bV` zUISctYCs2lj=%7zB1G0q$_HbNrmxvoICB?hw2WRpzj?ve)JROdVr*zg;~-o+9lwZ> zj;ii%Ext;=Y^@Rfj_t?>-C(wZ(NeHlS7;y^ZaqMQmc@Go zF*Gxb1=uOJrl5@+>7BwSe9J(d35$#0fEWZQ5AoVVW1#x9$qaE{9CaVsEFpox38Z3V zv;}-Hu;c%ccE~zr6eXK=WkYX5nF+S&;kv7S?ON$Q{r2Mrm#uPi#4&Kvyu1|M!+(jT z?vRe362f6?y=rE&VB6XR43JnC+0~2>>!wvx0d7s0W#~c`Se*D9^*xq%d=&T zjEB!M=2(`(;^Vg#2r)A-Nd4UZE6LK0Hp#rAd2LKQJrn@{D?ahZFpyb-TT*QyziN>% zvg(g3EnF$t?Q(j2MP|RptX@dF+*!y;QPPDCUF@* zg4m2(fk)d779pvMk_d)y^X3vmS$($IavX|8$CY{W`$GU10$-yc4ql(Xd%W<{Z^b=` z=J4CTj0B(eIP;0WeMub)2hrN@(2myBlW9rQXF><-h8o-J8Mv>F8+ozyod5D8ssc7= z*s#dZLF^V$9f-d;f5A%p)6IXch7`U#@WnxgP6iZoHzDp@`|$=Gz_inE%)PQVGL`zD zarg`s&Xeei#IB_jgcSW35uRB0G;+I6+_w0mG%3^cwNj*V)*!w0e05$&g@4B$DK$hO zt<3kcfj}jpp<&iJ$`+7E-ru-p2}KVW9m$&kbD4PJz1yLoDK1EFJiTp+Y{57P^^SeT zMbBWh)+^DR;Yt|xeh!{~WR!3W>$y%d?i%ZGi#d|w4=xiK4no2S{5l`6&h}jeED~jW z*N{4_e`Ilm&1Lg&_}aibm9Gl*L%hwi!p(KIdUI8WhkdE>eH!r8N`MLI#8V37_{)G0?ktD*S+s`J>jv(jCdqkHh^c1$QYWjALgK zOQAqgQbAnGl>23I0o0A1ohQQ|6o7jah6@3|BR$%tvh^-Z5cC%!3q0w_AATU3QiVgF z3O6Iv-_PlfVG9Fh^&TW<2+rqzSOO2hp}r1{tpMB2f%dkne}hXHL^DP)yOgdMbjLZ= zf_%=#o_WM*+7@C3C{`%J3k3-&3bt@{njQZuJ4`>~F|@F3uc=vc^5jdKb**WAN=V%# z*Es+@t!Uz^lfYjs=_DAomvcG{^x$8$#mGL-@fKu<(eIa@wb~I!0(R@e6Z_Kzw_roo zVp{v?*v>vGIeNreQ!6}F^w3LuVTJTd{7vZ&zmdE$BE*lbu?)F(j2N_zKF`YOqco2k ziEyZ@a}*j!t2DT7hCf^B)TF9f) zZxAp7?H{mfz5DoaE!=nrT*l{6Mc4%0k*daGR~vwUe*V`$>4KpIAxmBD3_}9xyaQhl zjt+|V-z__4TQ_ApfTNtr+fgT>-4=>%`;-TC^OoeH?75F}J#X9(YjBsT;5#b2RQtuB zWgEPjW;u6rN->idoD!*zzJC+C7?5p}BMR5{dKB@7Y6zqWnk|Llza?R{9g6W|`vLY; zABD1r3M$1diW3^ z<<$7=7}SB%CY})fPiD5~LK#3bPlj^Qg-@*k=wLPe8<$p%C2q$@!^&%7yV-<>>tl-Mpzeh15PK`Z-DM)0aEMTyb^;?=MbE>!O%V8A(r?vQ37picWDB&f!nj2^)q*Z0*KU2PZX=eq~I1z*XFl zurg|RUg;SU*HjKpyIzD{0ddl1E@wBgv-=|Ijl>$fLGfk~z6r*RoP}IDaDo8V4}rn7 z{RXSH^ZbOlD4!fx=!kK%ljKnd@SP@%J^An@$khpq;6AJy{r+8L)C5io#94|u?cH?7 zCueH8_Xp!6MGqO1hi9F*x47SNxgq<4_UhqL)058{+fN@)ca5`3SW(oHEUCq9u>jqvNd}WvB;>WWy{qjS$o(=E1RRZMt zMinzcpPMlv`6{5VhsO!!A{Y#20C?lH{usX)b zU*y8oK@(qq;h7M5Fg{L9O}*QCsnmR6-xv73xHNYtDe*uuQiYXk^hXiSN&FIr0IuBG z82zl=`Jr!hKEA43At6t_U;qEy@#aUr#MIxtDklc46jQP@MCNe`V78(CX9qU`RgLD6 zJZxe!Z+ovzA5D4k@-C`Dq#nP%Ji0wQ9FhulVv;Xe*F1U|&a|+mXXo+IoLAWTOXwcx z>Gw~af)T}ZX5jOW1!to{Rm?Pqs!$)31{VEP`Dme2$^$C-_46=L9-U&uB_3Zs-VY5ay{bUYfSve#7vWC0x^GzDwhHpfxT!zIZ|73qB%vmM2z6=tM0b zzjk4t!XA8;>kUV8q*||%Xa(rUh@n;U4+%xUN4=3IA(sPFvwz9$!RqNuAwfa>_EFCj zN&L6o<0-%m(ML_z8SM%s-E8?21AADBB)_lm2K)9C4q)<+JH1*n;-R}YY{Ny8>WB3> z{QB@%wWyp&hz#ZYCMpLd_l311n>>GcL3@5Ms_(0gDTebB88G)79%p~;M zHP`Udz`ytozIIh=#NitQuOMb&4f=_UJ1ZEjE1VzRo5}=MixP1#M&*J?cLV_ZF; zY1Kfv>&cU}H~HWuATF}M^%P%dD7G3YZG9uwR_CiEB_=5u1inh&7>De)0sbvwuTht( zHtNGX{1!JsY-Cm@K*(0pc!sI?9p;KjH1e0mzOfbb7CV#5&-<2_lCh(N@_ zMQUHTmAZdD%te1fp2<&(@k0(}75*u`GRdj9b}Dc3UDtdYLc23l^uWrzC9y)yEaC|m zam9d)82{iAxA7h&o$EF-H9pi&7TOC!H*HEdCVAxh_dhDB?&75R9qqk-M^aP~ooL&r z5cOQa>?yV9($~M`A2(_4RNqGF;a!y{_l)i4lewZ|VoZR1U)T&Y6w00~qhjwn!9;YML6lTjNwCMeA5p= z2=x}}sbCF`vAL5ubJ9F5k7wnyt^{Kb)?d#lS_<^?l@MQJi48^v5uB0hv3hBMSq69L zPcl|8bx_rXTe%h@?xdj7pAtoI7 zX4S`z>w$10>RRW|3n6b=J2Mtm7_i_spk`M|(IW+LGjE47cHu!js&L`|bMx;B3qV>4 zBAq871g!k_?U8YaJ}v16UgrKk4E@7hXabdZR?S!>a`G98#*99jdg=$>ccIlfF-Zt? zXt!<*>!*pghYB8~`3Y@q$lM^!VGwtOl0afAxf6Eb4RhdRDwKNMjDqEk;Qk^7R3Qyp zAca!P=haVQOBL<7Rflc$2}hc5&tgU74mq~R4Q=1Poi*dPX3U5R7tua(h;vrDEz?-& zJ~`^C)YtL9fAQ&brtuEVFM7S-&rYpT8jmpN8^65;DH(xD`a9$KE`_EVq!asyJgLiT>a(Csz+@Iud(yzqTnzH4N7oCj3X)F<)A;EV zq6xX)PB!wVf&uM)aM+rCqyfs=HH}#+hABL3mBQ1{eiFrV#XqxoQ`AoQ`V{1@Ysh>= z&q5uezv;@ADKHyDiBH2j5kL{v`n0xB%!>0XBU>1m?A09#2*`V zDnW+Q^!FD3=Hd>M&!Sc+qYlkzPxifdDZ1VLXG`k&c0QR{9jV6>O;$!OsVKgQe5?r! znd;d_4h~pkRGn&=N0y)i{x(vAjJGh}Qde#p{S!I-hk_a#;P;fb8zW)CzHY7}s|VbT z8eS^sh{PZLJjLo(ykX9UEEf#wa^e}Tls+{ zBJ*lzc@d_tXY}1JUSH_H83goiE4u2-N&|x$G8taz#>edY^`qTTG}cLC;!KZ{AjjAR zJ(4|$R|i6YI#T97O{ zd01wspe9t%z7+~_l}PK82x8dK5=FnO`;+<;(hmG*eE0c!cHsqPh5Bgn#8+Y+K`RL% z6A>8zJ#^cG^LH1@jB zpMzkx22!Fq&c-Es>&=Gi8|r2~v}-M;IVHE@K{rQ+Ebf>LG+9H3F6)Lt>=qDsle?rT=n(&=aZ zg4j^La3OU-Mr&=iAf5fN3N)0wGuu8JXWz^OXoRSUJ5{CV>i*W3Cu7Wv?~+3}03oZo zZ?Ai&*V?8pGiT=}>>=qBLB%y_&XQU$@q{bH}H23YVP<#ol7r>wOq zO09HqeR0GqufMZJMKG}_ykO%w3VX=~h@9Tx%Y~{UTreH64#d8p;cT=O+joW^g z?63cta7{&Sk&|}Fr<8w7Sh^!+=OiGgz@|-C?F^+OH9rkVC;DxXZmr*sTA`W+s;8!q z-*f-IKTXw6I&ngB-e0dvxJq`=(^?>lJDjo5gj_?A_N<|l=v}zk9-+*TZ@mN2FgO}f zYySxEos97JIsTLqpB@_%6}sq@vw^A~%)JenxOvtE|LG|}KXw=?PeeLf1>{%cMy`Lf ze>0H8#;rw)<9;Uv_M2Jr`LI(${+xRkTfNF{I!T8N#i*n3*@-dc)y z^!?sd{Xm(!bB5{q>CsiQ;r=9GC7rI7^2evke{!>iDVj}Dv(upt2>r=+1c8aIbv znriSK98LJ;r6CCY2To}o9;R+aOPGKSnF35r69+`lJ0k1&)Z}{M9 z1+;}ui1`8zmV}>+w16Wy9hyv$H40`%MxCH1NPIFRq_;{*0?>IH)f&kF;Dn4IqWsxw$w`OE>a**E`#WI+-a?bqoAe(Pz0EL%e z*@!Rrc;JI$A#M|r(G7KgLr-b!EDy{~6-$L}#;UlH5lrx8VQFC@cK!joLvO6?h4rL4 z5|&gXk5iLEbRy3FdTpayDtAJ3-{|OV9N$|9hoSKTF8u?K)dyfTg0#13W>nVVq7o22 z?ja_tpim_0s+o6DqE#*;>h-_#py4)4X8r08stHjj6oSU!OzAWA$5=2xn8 zvs6-@J8!V(MJnLgc;d=;un-3?(ZuCJIaRgLP}z;UH;AQ0 z>=_)W{(T`9eM??b0$uLsr$&J>d`?@PbevO!WXYd|eOJZK>HMqoj2yD|KNa~DSen7K zS$pb9ddxA9NztvDcu~r!-7FbE>5!6QIJ7*&tN*r)!~Zqyj``oS0)kdb8bQxCa?`t~ z{$6*gdJ8p|SE65DkCecxm%D#i$>=Qh@8kIP`o`+~m7D3^tZa25y6FZIFyJ=*eDnUK z=s&P(21Zr!NY@VDcGea67spZ;R9!hv-&J+vVjzU+!vOLgo@aO{=@1uAz%Fu1|I+eU zd;kZbQT=g7z_fQopX*Y8X>@*gG$2kX6Cx%8M_orlDPS@dNIt-vs$lXZm9luDiksxP&E1Uz8HIo;^6u&n+ zJ{uR#*9;xGY@Uuedlr25J49{)-6xb0lr?Lvz_&_ZY z6o3Gw;CtE+QE#(ubqwmI)UAOM2xr+|{8`WJ<5YnRsS}UCi(IC(jr+V8W$_C3Ay6Oj z5!#Gzl3-6{PyzA(?07=hswDyj?MvF`UN=O3*Rpo6nW{+Y+q>N{I3BhI_Ixn&Bpifv>hza&mF z!Kn_Q5_z?K*b~DWF!8=e%0X~inkX)7YEnLke;-_9(lA_;eHmxKFs&jXIGr&mH5VcQ z;zm%p`?Zwe8gO|}kxq$B8%0rWV-3zA6&UX!0jp*j7=!zAUwC=8+Ram{7+#J6(b5rq~0UEm$njRv-TR;Tw{-V&H&j(#C~(DNwz z1sGubplat+zq@DDvI0(qppUWYju1FFD6rd)c_2*;Xa;HMjAe zuNIy*7yQ1P+V^gpGzy&mt|9cMt}Nh0dvs&ACys_U8uYX#P6faNTRpSrd}&-V(i1Pj z_Ja(a4U*^H+`$sGXaD}EsN%($x4uP!bRJ?asf6sLhHDUC8RdO|QfvPLl^Aut4>j#B zGtQkFcR2m9%D3!ci95M;;cWx5mqB=JoDqD<^79GrN}9VUqp4?Z_)o_QKh}8x{g88a zJzHpi#=Jk<+}_^qke&LL1O}3BL|D%gD859DXCbxAw|5nL^Tm5vx^~8TJB3o4f25#$1KE~h+13CY-K-oPh_281kJp7KnzHC}@`S!JE5>0CY^qHP3 zCn;22<|%pg>Xrsy3Q}6`;`|FK(PuJhJ5o@%>BkjnU%d8aaO6;!*TmhS9%Vo@(nDdY zP>D06E~^*-{f{V@C{a;Sx&I4^Han)JN^d!!OwabiETd0m=YCm|o(x0{s8DdN9VwBL zv)6DR-P7oDQeU4o+M0GygF(D5E;9b5&9S7~$=$(zSN0dl4ksvjtcO2Ec3~MOJA$c% zNQss%(?!c;HmuQBQDQe^GF%et2%5V={R)oqtQDkahXK~f^G>LXH%JdO&8mi(UZiI2 z66Er@naONk^>%gnQr@66-6z+fA3s#5VjeuWi4*I7Xb~qF2(!h-3|WmI@8LWX({`%D z;o%>=M|SJECvnQZ@|yck`S#DC1M|{B$aC@AThEWB6$h8%br&uimV!PeMwm9WS!qdT z%VYmg)_KwM7aY0!T3TE6rA{~i8qVTt{;l~Sv$XV~!m**@;rRTg&ORtbWyMOjV^0_= zs|fpDy3JL*F1T=)!ZYnyfxS+rbS)ak{+?e7mfLD~wZE-NNLDTim&@q;}DEE-*F1>F`Qtp4$kefd;Y$< ztkmwoE=t1Og%G8yF6&Otv$JfZqxCvEN`<~b3Ze@EO+iA@QXBp>H#dT_%P{Yc3_aFJ zL~~`Fea!*z`W+hQCjf(zNI?SVqj#E6b{!oZ+ji`r#WSsLV#3|yG0a1*3M?a}T^^-a z#!taethvg*lCNC7XzZ=@F7I)WwN}vW=MR+$9xIh}tuXPU*=tM&SF(U#tRGv1KfBcxL zk!yxEFhy@|s73(JW7YIl<5LV;ZszpLPel0?-NT*sEG;fhP1!nFUtop4fSQiEPu*}c zbZcFl;%fU9HU^kTRzqV>v--5_ke!iZ_p3EHm6B6Zmd)cU@Qtja9mnj2Fx>j) zgluu`j8`C*fH|UeCHfJfB0|RBUR%gj?@XQ+P}g<5&2-=31|CnNEBJH#aMORsCZia# ztHj%9adc-$a6UM3!%toI%%EVmPo1~2(qxQr0b@Va89{ZJaYR|?Ke-LHXC!DK{ZDt% zTw7QKgAl@(rl|CTNtytT;v&wG$pE$k%7}>BRg<}+k+BDd9ZqtHH2ctNx-r>9`U8|) z07_3v0=3d#fR|zx_NM)ZH*MUgY0yYqT##>| z$>rXuVPEq{@7<$7%U*oB(xcG z$dvdTvTyzH%9%GjRwCJzBujVwK@tGwmMeLWG$ksw&aARBnx5sMmrFmaw36X2s^k|o zEBfBYl67V%L-N~p93@pum(4zk23G) zg)SHcH!cr+-0;|c4rwy-UOq_pLOR^>H}(a__Z3|px(-d%Abvcw2Gy?{NZSnt=k*gn zXSgv8DyDa%D6rzPQM5YXwU0rr_}X#CAs=q%+tJJWU^ml|y=&r?Egpi{6w+MaJ~gm5 zEj>M{eQfPnB!)77KO`nDE~uhs3veJ?ysqv6ykM;rJMR!Zr@P0pW6t_@>&$0Yz`NhG z9S5ls{V{2KrIey$5jIdm2R7{~E!W#XLAxztZ4cD0uFSn9iX_vlod%AV6DxoL#@4V( zY$dPsU;&!B-Y*7VU>xm7;}2j{6q`>_Jy{cU!1|bDvOlXWX@|<2x-7-hGHurNYwcmRJZf@)P9dCtES2n<=yTLXb172r+IH>{1cerq0j!83ZjJak&MzXk~II%Gt}UJusp>gJAp^ypK( z_7QDuiMC?HbKh&Vy)GFtp3vrFOl`Hh|8Gl{$a^dQXRfhuK?5=jfIGwDlc}z*AHHr9 z+2wFuykcG{e>eo_sK;@bu(xfh`9gvZ35c%Ob1F^=DjG~@{tJ#zUZn?<12>pVM zcn-kq`mIS!f2sWQ^Pt&ZIVQvBA|lFPcZthex9(HA z{w6B4QR#G})!$3DZzq`-S1zyd_9>zCj(<)ZjoUCk+>_qnwx6C$>228ILb+u9j4z3Z zD~q7!*eW0|&mms-?(?xg3_;T)${8w{{y`Gc1iniwe|ce_D$#Rey~Vc-88PusZy1ye zB{%H9`ANhrkkbvJEn{;*K0;EyrjlNNUV66l8}+4XnnFcl6p5&c)45E%b-6?wxF8uA zuO|wXo38i;SuW%^88(lK4qMD07TLKf?%p#-Bs>hPtQvSh%q=YsQ6)I7yLzF08S`lS zm))9bz?QX?1MyJ)>MCmZv0L`^0FpWdL+NoLkr*SmWya^gl}$CT&&&8S_E*SpB09qv znlK8?Fv#5u{ipHV2Ln_^pUa0n_dUgvDQ;tJn#Ye< zU{mjpeEX2NsS7Ym=KXC4ajyy`pnd2jF0WfX+I))n4xP#63`{TZeuavN zBt)vE&H)#k%6R>WM~(AAW%ny<6IP5;FfEX7VuZEeBxDR!4Ijc9)Dzxv4&`{nhy%Yr za9V$JPSoC14!oI}xvXXI(;@~KUXnGt81d<6<2^H_@VgEsj&<%C(LZYeGa=sh(rb?u zJtAJQh43V%Jb!*)Iv?MKqH!>Cc?6`T?L)kMDRbq~Yvaw~BRyeUNfIT*618<6=v476jIXd!R6l`5~2#ZJ3o22TUmPADOCE zblQtK0ha45GM+Zww{H%AliJb|PtSe3%w}+39UXF7^bNG9?*FH6V6Yu=wiHrhM95l@ zr~GUB@o}OA85i7#-C;Q#T%kd8kMZ+Pj@aRPAr&LAO2Xf;O-82q$>Gn?)!z#b-{#)b z@2Ri930lH>Q`mWfFWoz7zo%4qUD)%Jd-(bu)G<%G>vJWC< zYD$OL;Dqz?a-ZvQ7s-DLRpvjF)ZRZEQfbH?`I^kHTFNERk-m;fkvpk%%vpF)+VpO* z-{<&#r-_yE9+ow{Ved=k@Tc5wxzerP{uh!;DEXeV`Rbgn8OOt%k(LMD5<+R&@TPsS z+1i$ALGL7M7#;O+82{h(yF%A)5HcL-zTO|IfTBbwaM6ZizkSz-_AfuO@7}p1>!npT zH%?Q=+$a(={3q?O(qr1k!T#+~5@YzKr4TFvFMOVRT2`x_G&HrjeO)=0H^74tfG8qD!;d`|VCur|ZyFu}e@u6o*Jj9CSV%ap zWA~o>&QE<-SKjCD#y5&^WKyA-qt;?qfE*Y#=pbko)_zLD{!hT#wGK3#R6A2(AHw(n zJU=A)@}11D2(P*Q`T;v8gS&RBHAnH{937a3nMXMzjVvO-o*xTK0tNfrue{OU*^5Am z0D0tTwn*FE#k;_JI6ksUq5Tahyu#pfdEePk|0Yx0)oM8V3Zq* zlg8MjUablK_}O<2H68(bX&>gwi5F+lntB@-!sMQ-fmB{b0XY7)?`N)Lr={#nhmt@r zk)3jF>37kS+!9P#k6WebkC~3yJ%!m-jnxkl3DPdtv+7yKis)pS++oFmwL@^=XWqfsIe3cmErXKM=jRzKt*DK->YbwU(KJlXI>1pDD2RM4` z)!E(5mQ9QyynG~=4O>u?wBFOE3D!uwgEm(_KQX^_Y1h6hXPC4t6@Is3{!!oCve#+( z-7B8GZ_cqo?6C*>B;Bt~%S1jcCt8O~_V$l+$Wz5XKGOU4VCP{ z^dI7pHZ|?vd#HxN_p$cqq$_l>$x0*CB&k%(MQ=mnAli+hKCX(_fx-5lVG@B8kq4KZ zkh?SEfpX=8kq;j_%u+E=8(`r!?&$g+NH=?{_)!S&y5~+K$0X~I9;DsGb#20aeURhc zn?H_7_{VScUqw80{O}e5TF5I)uQ{tcjqmET^j>mw((l|hKDDlU;R=5mqj(lIB~fsY z&e41KhC!pbbsdeHw7cAb%1rzS2fhe~Zg;$p!Y&2Z?7%zbCsMxjXI3gqeq9->5l(%d zXyDkfKW%sJ`Pu5*r_a3$TgQ{*sP>omA{}X+QjW9lTKOcqrW_ zDWa}#<)Gai5M@8GdT?}wy~drRwel+9o=WAu?bp7InHeb&!OpeWP8$x9blA_JX7nQ$ z1KbqTE4w(q40E#HOulndyzaB=KxH|IR~%pjggE zc#iinGM9@!ew)tw*PR1^4{^c3j_PYDgb{EZh}d@|ArL%{0BSq1Ce=XN59t?qpxoWv z!zt`U*$<0M5dOKm(?=^+M-GRZuW%GdrpB;EN{e-Jh=)M@gxmK*zGK9;r60P)xIS_eZecK9Z za^0X<)JLmZw{P>u$6_ot2P-eg8K;+e1D#mM5)P1F)yIc@H^S5xT6cBck%?;X}bX){CS3&o-JM zTH9I9XJ%v_mS?7@BkEt{drlbI^N+za`s2VyqrVioy`%6!C@T5feF8+-PQ}QYlMX+~ z`fHH!y7c+KFdU<+lVXN0>aa=GsPvDN2d4he+yba@Z`)CjGLvYo^92snU<^{*m6Uk! zGu?X_=Dc@L_Z#o6%#{q$0RbDw1;RvWebr00C>vJLaDILG%wr9+!K?h?U>KL+Dkhy3 z(R>|y=KBzv>*##v*`|8ETHSUc{zj*=Q9JfrGnmqGs_$HmGbpF0p@~VZ2xYsRuv5~dR;bGJCY8-@({=WFmHdV<7B=4KT+#`=oQOYRc69OV;m{P~?mC#&`vC9eE|s~ z?JFOi-h9O6bDnlZP2>AE);BBt~Vp995B&kuwKi5~K z9S_$Z{<|7k;cc?D(m?2@zqwt?zy8PiwVbEMW;i#yu^jBF_kV31_@e1-_SI81%yxrx zQNB#CLQR6qFLHhFi=q7DZdxmO<%q+pMfR-fZr?ELq;Todt1Y5FNA{M`dpy;(taN7w zT!}#rp}!1B>3Zd}dH^nzd(qKBq*f0Cqxac;<~L01dwS@y{yn9RTO;wybTjZVj-pw$XiKrM}+taNqo_I*(g`AXAuSNYZC^b zsM6Wq*xuiO;hgOT>f6M{e;L^f?jk1f32{4d1Z-}@ZUWX^E@xzeDiNE(?lIAwxffOT z{Q&7kzC6EcJHZJi8CuIe{1*cXu1At_AWhDX-5?PifQ{UVQlI5$QVz zRp0RAJP6wRhgmGwBG&UgV`w3lzVJp41r^8*7#J9~<$i@2ziFErDP9I5;tcY+XS{pA zUG8@~l!FkHGD<~JYVh$_8Fa^F>lHVmBT*NyG7wz?DY6E6_1<24-y^7o+hge0WxwR+ z#?*Sg%_4z1^B<9ZhE5{_#|eKl8Q9MFwGc|Ex+2cLKSal3-AKe)3UI%R;nkX)2s-g;54p!5LOR+f59YaXbl zEr$^)`=`{=nkP}wYgr+05FBlG`}~(D)rE?4C>Jr-d^pWiu_*$%KetoX9I!_q3RN)c zAl$^_%BRZKl;TND(SMu}hxPC79~+YWb@Py_ldEfhj?f`T>rLfSFaDkLmSzrrcse-i zSnq~w$7bJpwvQT(RBV6#E>Rds+QqGY=b&rxupXlFRBAf){mW|wr$sHvxUZd0@7fFe z`t-T{>HM<$#g=$%<+b5gz2;%}BkN6~3WZxQ zd>?Ao%r_OM<+}>86n+X*54oPz->eoVryJYULt}idsO+X6Re9@Q##ND}tH2ymdZ+AT zv8~5f)`d-6>y>pg4Ycj{_ba*@EYC%_PV_d&Z&P^AptQ79@w8ZsRqca-kPsaJF8|S* z0U2hl&P_*BxTRlzHaDqZ%;=Pjdhl|G=BM3eobmnr{n*)574;0GfkjHErKRi!Kg2x&4_4P@2CXsIuGwgpk+zQe|fBm03 zsI%?(1prfnZ?QthflhOitt{a{AdezGtp8A3Mn=eNv29J;1jvu{-{6_NJp>~p%XNVBsl0+E6 zHnQWbwT;aNBM`NR@JxD)ezcN76afV^O(=seaPxHLy=oeh1Cn zEzqRXRQt<-j9F11d95EpW+^}u`N6wR-x~je6U2Y&3w{#g>5Gf=^NIL%kr+r-mkXQl z4H(w&-GoO+(-oT>lTX8sOh^XM=a&L5b)Ua%CN0f*$rFE;xaTFDB8Jg{Xyt&y2+sz| zqeIvbK8^LX0vAQv!0JmeTRNBKMV~t%`Jf+NEyS_DE6x)^03@OXb7HF%^^W@=iCY?> zE(9I65|8%By>NTh{i1HcMq#L%1TNn-Z4FK^~UG8*5(4zC3GE}2GMwi#|%BPexTF<+Yy2h8yyCbb$e0B z^gRV_HI@YR!C0{EPr0vO(Syn|uWMCw3hm9=vh4^Idku;n5oWL_kh12&!b02!J7hPI z`4vaF*q-N&wfiA0CaWTREjy>a!NQAYISF_IQFj8$Kjgoa>K(@lvI0x{bV<;Fw1wIu zU4JK6M-qF82ZcCKVC|@BXrQl@vTb>>&U0pjzeGcdmoMYDtI6sp;Mcx?rDhdWA;$4PG`$%AMVQfWXgS~xcm0Rh>Jlbc&re>GjtCm{2a z{>(?#C>h{_h-kn!><-u7I$qu|_=`^I>q8DeRsa}(4GSH%puSB#^QOIpbLy8-osG}) z_1g9vJ;sY*mH;dV{b*yL3u~3X$j-qbG~$Mszd(%p7Wn89mCbRA%h>W$wb5tS-%T*E z6R9R^ZWLj*}pyZqIt|&Xn1V| zleX@OOur*ShciX5)^4t}=Fs08`p-)sJZI(Z0eLIn=mKd_1?zKV%``oka zdmkIC3)Ve5TXyUCxM{#+>n1!UT7S3GfOLZz3E3R|ukE)u<(#xwwH+hWyXi zjZ{w?dPuWS8moG<3$Nlz)Bh14fG$f)-&o4hy~%BSSvP3RI*Tr;ybL$*`60b$lNZbB z&%KqEEr*50QhhTYF@7?Bm2{|Geq{eE0h6r?G!JdozdI*TCanOMhp8`A>=SW4dfqvm%Lj zcpWgIJzlhCA?gPX3X`uljF?`qbxkc}!&vVv33jA=GcM>^9>8a35lvEj?iV8igBkWo z@u3B*BN^%G>9+fDnma(r{u;5;Q(f3WXugni^q5_g3@l;sv9TgC8W7V5aZ*H8>)vfUK^vtDb`rQ9$ zmzn=juvI+T&!6qOEN{#i{>U z#b~iZX7f4S zJaBCfrE={oaC7^p$FTVUJ7ic*+DqmDv?#xSr^!x|MWHyx$$t&OgFswwjjTq$pb)tU zh;@q8tG&Ur$F z+si(0oU-BGmJJFQ1n`hiKi47jz5*2j3-KOfvbzdHpcE1f^Zv~0k$_56f=y)Ht|Cn} zJy(+s*!!E=1NoBv}~5b*@Jq`u^`2a5?VK* zwXuHdc)bx7xSfv~ccRgGqg_IGIQ4~dFW*4#w8OeysN}=$5yzcw{{Qmr1$8{W6$8}xl zJm2rvcs`$xML*{&bzx}~#f~V2vQE-fU9?-x|4%)~x;#N{$-=_Jhtrv?ck}KyEey2FJ+1SB3I25Ei)w6!v!@+KrA7%`W3U}UTXTUY(R&H)(g2&K@lU9!B9=NK| zOK{$}ew}k&ycy!WJ(RCa(xK)F;L0m0;R4B`4s;`8Nr~cf2pzxzg5QU}eht9D9@osQ z$NN=*R!P&*uI;s}!EaSkuHRMRo^A&fF_0vC6qLNm4dfDTwiLjoD7SSt&JTg>-~iRrquIqLX^ z16Ch=xcZNuQl0T3$`$qjr_Sv9({;+3wj{U9_G-u4^5x&$;62h4-^x$V*JCE2N{b&c zBus+XwJYovN#ZAJeBWnp&1 zbGId^k65-IMDM3lOOvI%&#v{?2IwIk`9QR+<-WuK|2ED+dJp0L$om+BbHMVUJ{j2b9n1hLl8Y7qI!%4apB4JmAo2+4`7f>DTSY28w z|DdmRqqn$8jBBgrW6jsjA$~@>Boqb>hcYJUcv1Kph}njgq>p?7aow0KkpGNQ6o@A( z&qohA=j_UV_c-!RrT!HYc}W-OKYjD;xpSus~AMV9<-BV3p!7@$dxfep9m; zGQoz`+P1Pzhr-~aucR)Cs59IAxL-9R@nK|;NH0J$OM^s%IL+dvYd2DHY}(APlMsLo z301un{6a}M;o^0SDoTCi;G^<j+g!WC8Zyu zXG_9eVz!NTNlTuTzj8pRsHhk^<44|Y-ubIb-Q}v2cZ5Vgi`sE9@7u6veTwYPy?cY# zTG04{Wf}bD_y!Ctj=%#M&jKAd3B!g;EOHf-)8_k_kNcnRe!`!uFa+^lGCP0VY zy$$hi**9i7*|4fDskGn>-#Z=eNfY_~~82{Ozm6_40*9g^ab%B2&tGjM?&Dp_EPsEoP zzpah4eW;cEzOhk@V5gMnpxYQ5g0W?xAoJVJ6j4cDY>iXtpNzWA= zUT0ZL<&y3Q@W7#$cKt(LS#YbvWn!wK)e0;pYwTIjqWMDqvp7D&YPkt(X&VRV9y^pPp~4{7IYeD> zmGx`B8fPuc@u#@w{X4hqDXf7ij@&pXA@_d&^@_OA-?yk{L;?Zv$`3I>ixQ|uZztuaCdw_1r`S>ok7S45y}a!&5B@Bmj-F#5j50Q1`GnJx3RfZ>3OPUOs?WFdBVp7B(NojJIKjv-#B> z8dPP-ZeA=HzgByZsm4G1gSb9C!A~^xDXdy@u+bH-6u+L(3qR*qUg*zG30|S+I9B=A zY+JJ*j~V=enoCsRZ`XhG8X%mr?Y#xIA$F2pV5%T)ux;YsZ6aF-!{qDhj?5uB-YZHGOJ>aI><$J+X72MESV`H5NDk2j)K>J*KC!3}*dLUYtMt za=rQ4isYQpO(mhW=fEc;#ZtqSy~8(HY?F#-?!2D_+v(ZmAEuNq!`se%rsELS{3iWq zgb%c0e0TBupbT5R+kGy$N_Xq_Voj+|*_aqbbk&%)&U%rqR<*T*b52~(%Jm_9(H z{9V1Liq3B_lm|CE`fv>VbSpbMV^4O2y~_Wv*fLp?O~h1{MFJMeQGK@QtyZm>-|nm2 ztv0rL30$?`ihzPgjVlJ__8ILX$mspzWpLJ3IQ-WFHAhe9M}K;; zt^Y(%73HW|a7FX!RAC2slsAmHs+^?a=#n7=W#lvHxo%7W&pp)>Q6)0R)u;|fi0t6F zx@N0_SI1YLVJWy4NjIDZ^8z1=KIz!G%M2$?O&#>tMnptdb#p z37*sb(wm?DwM1t9z#Y-)4^r#PEJS5n&~p=BDa8`C8(aHmW&#|3h+lDtJ@=6>LNPNp-&3so>hdoy! z6E<=Q)t|eR_^0G1Z0rwCm9D91-PA|j!2!xNE`_xe!r%1guOk<(pElp~`aSa}qY}rq z0NR1EPj2)JyNyC}AEYdw_3u~1lr#9$V;J#Z7uH{wJZ*te>SFaUFH7-Dkbz*cLtPQR z^xkPV!T}NX-iAXuUf=fdl%h$tmK30}!ILIspwy z|5YT49Iw^LH41_La)u4e)OeQSp$f53-j{-po4fxDd%)}AHpIR+ue2bcIY&`7o$zx1 z!&1Ts^Vo->uk&~tGM+}wrVmbh!RG}UFfHBt%kQRfQfu73tqR&;C(CYll9RKWXAKIE zI=BMp8XA&dRKh*F+YQ>%oA>fo2QoV+xLWqsj=*kg&=)s8T8@yo8yRI=xY+Go_Dxc9 zj6Sp`d#2g@IEuHj^=%FPyH!T!psei7Chb>>e*nf-R9CM-Ljp!dp{4@YpDjP9{U#^f zwwn~Yrfd4tbV+Z0l*2iGd95$T9oDFtRArkA)5JqZWt$An z=P+N#&e4i6Kak8|uU>)HiE!_uU=_U)nj+<&_CP_iE{Wee;kBQBS8xKYSp8a&<2bn` z8@7w^!@qf~VeNW2UHp8%=Kr_=A;ff~vy&CVcfR#gX4i%G?ybb+p$#MV2P$=dT~pVG z&Y0DejR6i(!uj8_G2GT9`VUlNAHIKNhF%%v{|1W}Z(UHjfj~{TKy1}G-+3-e%QyNt zl<{0`cNP25;r=W1_Tk=b<&~>+XT zd^c{W_+dx4Ej>FU`%W*rSg-N(eomV4l07_$PtR3Y?5S(+cXIjnqu*oJbAtpM!;#w5 zl={<5{vW?7-|K%a#p1ed%SoOu>A7Pr;=K{->wL45n9vpAxWQDU@FOAoNvZD{{*Za$ zm3gsS^IOK09a1es-L{@ylE$9{QY_*qk5UIi{}B7`n>}qDFY2lw^k~gKDN4W>MCb`1 z=L^K?Hga8lehq!$3p=aiHSutx2Tc^g=pfaq*BVs}W~qm>UN;n@Pu3m(A5~zXSIC3v zM%B&d83`bO3rP8GMo$#<*AAp{*dyR?7}DT(ujl6Gc5U1DZtIm8@s`tg8}SQk;Db^u z6Q+EeZWP>PlzBHXg|&uc98x{WhP$u-PN}ZcR%$$uw%aISlf7lreJO5A>C!|t-)gt} z)eaVj)6e$)Y}qZ-LT5eOgRofu(x}7x`R-Y95WhLB>uLZ<5qIyNJg4;?3o@eJ-Bj7u z(NU-*1;aI2BCCiV0Gn6ctTwPuB2fA_N;))He2Mv3biP&`_<0cj4g<{q05oEwV{IR8p+kkNKd`r4!vQX~*tk zdhwGf`v=d|A)=2zy!ICjJ_n>>e6Djy z_`t~!u{zcqUmeX|V)4!jtr*`3_7(rde7GnnkQv3vlPAFhxY4)&`ieI|IcxBTjggE) z3~=q=q>s#l?C@V()!5|H4{Y|tQ`5Vf`11cG;guIhjIs>C*yf{?P4S_o;3}rE)cp<% zYG&V*hroTpjW>MYE(f=Spq~&wl`6SFpc(NfCWhM73Oa0~VcEB@wvy3skW`_u?15}U zr9O$MHBKYPgrah3PPV`$*#CZEt=%X6k6*MiTUgoH=zbSNoEPCW2m9U}R1~ce{V+m^ zRxAL8vi~Z8ElC_YsDoWV^tMpI=w*xGTBv$Cnuz|{o*RH+{{aa|YE)!ZS`O7Z@n&Qe z6&AilY3J#VI4?rXnwhw-cxH%Nq-))aP*ZBBPa-jgE-;)lHm;8jh7c*TXmHa8d|r~O z5+OnGTKa1E8f}3lSv=p2P#4CRj)ng*J9u$wW`2HTeh8v~{;M$d862u=U;DDLc;XfQw7Pu}iLp>D9SHufqxXS)Lmf_fUm5W^Z8|41ToA9Wb(EWqih8 z=zNxv`(-Uzua}prZ%1x(nOt3GWpL|ky>M1dME%hN%g=o8W=L6xrY^R3h0zGzJ?1o_ zO@IHshJyE(pV=E13)X=nF25!U#bX)<9H6WdMPATd3$NhTTc`r)vEdd*?w8z^VvKsmUwAVc?vRJDIU%J`}ce1oqb^#Fmt`oFQV{>c{MnFLPj|i z5IyUfm;{qzUSfdVNoRe9;D{K7S!P>;@n=}8=yUbaK9D7L?dY8N_F0ZvI+-|-lwwK8 zE_zs35gTs|c0IKMz$vVv9iN(N3HjBWlGmG-vAK~u>`+LbyikX#1!UFs*5bw|hc{cI zyUMANH1coN6<{Iuf&XK+X!0+UaSQSHU3iE_mJor_XV8|^yDn;KXjI^~+aQyilw{8v zjbnp&-m}Rv!*!+&u2sq>uMYcO!f1goR>&Bq{L;qvCCQFJDCLFtL4?wzbFFCQL5Z%8 znm5ObKgs#%@QrkzTYoBQ(&J6wXH1C-GJVm8-UPIka%6B5 z&-fK!LmNmpK}g5Iy=Nbco$36qJrH3R0m*54{v`*6h4K`^+xt_F;$ynN#*$d&rXC<6 zGH5CFn7Y^1+Nd~%?1hvKh@xEs~`9vYuuCBJ%97WL@9sQ<5x3Yz;cKu z-k$Pq;3BnLEG26shI{V|L!ex zJlA=DBZt5xJK5pd8=-WE6W*FKSd@9NHKgyEKHtePC9*C2f#^#a&ZlanTme_^hF1T~ z<|ZNX0;=-Z_W?UzU5+QbT{>ox~BZXBB0Aw5-}tYaYmZx2Pb-_Z|J?g4GN$* z#y@q3&aJOLyzk9EO>5k^M zt+wf7DVJUrS%+(=on5lAC>cdH`gMj!ENA<%2lB!2&A8VZ!8wcp6Ph^kTZ!@6#RpFu z1An28JJzLRjgorjwWmPsG_d+HsMi^U#0rR}ALdF^+Bq|9%tjHu*g-#2;ow2<=ZA zMcz5`SVEzMAB0KXQ+FlKT%(N$=D{eEo>O8iG|Z#LELw#@dj$k4@IwgmA!>{m5`a&! z02>lwR?zPu13w6mBO?o7KTnb!#%^B0ND8Ba!|D1nuWS%W108y6splo40gxXFfs;2e z=fMD$;47OnAYIexv4-=ms%I;Fwt3uX*#+$3y87|WwS(Brj#amMzh;kiLYlY~Avh`M_U$UfCurx$ebeC^ zyZO%V!W7yKrlTJLAyC8w?1?2eri@k~hTHWPiR62aP>Wt9LJUIV!o!(vG&eFjn>vUv z=3$e5MTRC1vQbNQGE`D{-FYyk1#6vzEgF}4h|9T+`-;9

Jx_1@A`?M0O0outMCa zM>2X%Y7eIQDFB@a`w25o_$6p8DK7gQwbv-LzUz;l09_&8?t^?4bVpCaTa_=tB2=>{ zE{#8PBi00ppfwoJ?fRi{^%efN=Z@5HP(e>L408rVwoxLF-?SQp#tPcSFL+&iHj+4W zhDFtnR*TU?@lSF_UlkXFvjOhpw9Ufy}<6#KO1m~Z@`5pP<%a|2-;62R%imSka zL4hPAlt!rTB`{+GsuV$Kei4e-!VNiF4T`LrXtcWx# zzl^BsEn2`9#DWz3F|D6g9P8kQK?YeMXTiKvdsOYtB^j7ZB2+K`fDil!*FiVt&+bI) zWMi|2pg8Pz>!1=(R>`iuIu`XzP@Hv>7L5|x4YhCj7{Hc;-#68+H!xocF zhi1#Yh8{Y}M;KZJU*A?1y39x)*N#6i0OAls_dKI)&qWx-`$Gi%Gd4C=_e7XyH*Oo$S^AcJ9e49bTGzWcPlR6k#Q8D8i}CJ8hQD=i+Yjox6|+VR zCwz>(+dYp#xkf2D?*q@0&W!w=`bL>zoUYC3chc3*eOt3eCfUYBWpzjTk5?gilPJun zC`|7^vwA-*d^KC{_Nt;`w5dkp{c{9QMb6*}H>AF-$1py*dy;sML9%A5{W^~k;m3Q( z=mYi1y&AoI6oPoLk@xP^507I0wx8tM;52&l=n=1o2m={8VW$tM6>p@3h6b9YT>qcc zaj|1sehtd~ezju`E*xIWUAX8UG!?`&d0fgQr(`5F<+OB)2ug$YAYDc%VXHNe1Fa?&tz_7RLu~ea{c)M5UQoD6kNl{!-6J#}0Ih*=*QW(H8O<0t{XsfHc)y-%(a=>zMHxIVRq6Nw`a8rn}1ANB)@82Yj z{Xfp3nFL;;P+tb=b!qASwVx6Yb7FGR4dR6lw^4n7wE(A&?Kp%i!84H$3Bk`Gg*9wE zh-0Nko)>;qiA@*06J<*ZaRfUadD_(UHa-dT`VVH4Hu^vAo}3v?bhd_1-Pdwx#i9mN zK{ImML%q&K=0XTmn`x-oc5h%U(^McF)!Vn9!E=-NuK><4&5dIZMU%9jwCDhohd9`s*M*?4I}q zCc2)vc^G)5&`xij3IYFMm!RP7jwEprEqt9;_~j6p8pa41bih`9+C@}OF2T6((q?^C z&h^rWdsY2b?evQ326d$3`7MXRpG4w->X>55q1PoPserJF;|+RULgFSYL;M@iLu(K& zW69*}ih9egD~Gcs>=&dy3z**RUO&%F-Tibte*u>Z{Mh!8j61yiv`3Euel0`Gwi&1w zzQS|69ctkrg}HS&Dq#wt^te5;+OfjYsbPK#rRE2lnDL6MQso&aXI&hd0;FZ|k0q1)-7HAm#+tP#$TlN)T9^xf~OKCQyR=7#!Y4_adkqh66 zY6)+O#=Z!yKY$V%2)U{0equ`k!9yZ?{BHZ!UGW_)Y7;x0* zoA3W>Xf%BOJ@c!QlBmHag@Ejcv)?b_5Ygyp7r9k&3%g0b>D>K8cm9$6YYygWGh)0aE^sE2(w%l*ey zZOeD{O!Qt~V{R%4`sBXJH|vUxc`}IYgz_n|fBy_x&>%ri+yEiCNp4tigmTN|y`S5` ziU|N%u7@#0!Ex*Ysw6zWh?ENqJ*LlBP~Q;Q7M8-u_G6+m^1fCRd$}g`7&l4%7U7Vz zix{t}=)2ysAEIue+9QV_UI1|o5K*j7T6Z@lhIik-O(T}ZGE z{<0TWA8tP2qYgv>3nIaNxgc&hXCLh-RW)@P`a&XFhPxk$vBv%Lb#(L#7#$Q}utY*i zOuF2!%8UHt{Ce|!I7`T7n?K13U+fzk%^RLTR|HdNlwEk+L7@rN7>m}QJKEOf7y=7c z*lW>)3^^&}Fr**t+M1c|iiJd2Ao9nKi?`Bg*pP89$lzxg?MdwO>mEheG^312?Nm0a z(Zx;$&lPzM79W=H&vO9I91#=|IRXI4ZoBkJ#Y+VOotH-bYZH?ENs%a2Eh{L5WMu92 zi>e;ig=bttmnGPD@<$T(z{(+1_0eeRImnc4aB3_7kQBqP!QkY{VdzN+FnwJ11tt}) zt>a*Y1NZMVv2dXFI);%3{nMnkE--~6>K3f}ngla?oDX2*sKGek)71kcc3q6)v^m<5 zXwMd=LziJKL<%znu5ro9Cp`9wy%3xqHSKj-FGlF~e}7*ST#Tagx&zYo7n&E$)dV3` zyz1c*^!^aC;mAk9&F3Jka7SXD*!-Ya?e@KC*Hy1a%ZaYUPxm-JCEm}3>NNJ*LRDSH zUQ(6bclG!ATXV93uTB`>B>qnEOpZ9^iFIbGE4|;a;y!>x$KetcXl6ec$nM zdcf|!$Ndn%228e>bx3Bq_tLk=6yMc<)$3hN-sK*Nb>&p#{C?x&DNzi}9;`p9Q$fQe zvQN1BPFUT{QqJ{`1G&t%@^&s}Se0Fx9#kH8E0N2O7$Y*EL7Xt?%8_xyf>@sr$N>m^ zFD)&tfglq2UlP?ofg;h$0rvf)UF^tt(+~7g!_uMa=j#8v-2J>c1DOEymSDR|mGS zzwInrJ#U4O1eScuJ%YDsRMU<1+JdY#&qs2Endk3u&`#x$vYXZs-mUhQ?QjiKSSedh zkUk5I-Zud))h&;%7+)UyQ+M{l*~{m+_f7m=p7Bu5a(L92 zE@_%z#FYTuiI1pWyxB6#uYTbno~|705;;S?n+MUW__oGMAB=l|{%f6~i-|5web$Ye-K+5_1UxgG?r14Z#q5reTtdYPK3MqAl zNI-TrOn8JX?d*c^Jqltn(B0MCew?z{k={ospye&Qw3V4T%}rcekA=uqFk>uiF}PJ5 zaZ<-NHdUbNTITyTekNT^!K&%m!#EJ9zXUc*)S!UfA#g8))FPm?ghBum=zTXX?h800 zXrw-=X?{DMN87cmdWR_p;K|n* z_V)B}p+%_0z{C=!FCKOb3=HIw#Y0#Rj{nX-ALJu@cB0|OW~ZF_MO*%Fb|dNzD?7Ul zJmKr{H;|xv@$p+6HZEQfmo0+(@`moKK(|Sr-?%ejcOphC>IL4HTuTUnP&)4v0)((! zCS3p6kz?V7xV_u$4im{BVU;1T%IeG+)i*Xs_Pg);i*S1(Ebr+_`1J#QbR~AXiNXE} zk1d9NSsT92c#xqNEZsI7+WGnS@Ru(v2N+_N?~c^p4;NF|{AyIXxtNZ9;HpixDEmF` z^OR|@9*Ec+oYpnrbvKlFmEd4Xa^z?NU+`JD;1s(D(CpivBRjVMYQBMjDe}#_h_EdQ z9ugf8B)tGgS~Ftmqn(pO^r8jgn54R4XD#7;ym_!m@|su%epHKzY9Ucz`W z4XOu+^4N8`!ciK#(QJet%iRSUTTrJ4+iVG;C_8h7BSs`m)^xyVyb^;rfqx zm?ioQ2BF<|u1uI(6h<1F7H4h3v!g40A!<>|tL2_$a2q=q-FBeyDpdtK%6@@YpD~6r zahJd~fYbe6Vj>n#;@j+hn7mfuv`DXtTihlkB}M$l9k*y)Cj(2?pCez^*qYMs9p*Ot zZQdxX^|kjPd!3}tB$d*h$N9Pf1`*4!1KRtGv3X4Ao){H8?C<}$gD0hEs#JS8DIwv> zv;|-JUl8t$yDl*Nn8Gfi1|;)d?jMQ;7HN+aBv(WK7X9xu5*yHy3kmGK*XKR!#4~6l z-*Drb5l$6H0xsY$4ILc_p;?R7PIQRn3jX-a%+e`IoF5?QgGwujIFnf8fGK+O7dfPG+`r_Qim7WF~{ic*XEtxCwAi+l|+*_8k+IR$s4HB zX3oK_mTozX&+iv*&x*63{g@ofG=6bgmrWgG+8)a4LnLplrPV z*T(H+Uh-0JZf$4sR5>!48fRN;c>Vjmi(Yo!mpi&mabe8l*S$pC3q?Q2Z)~Do`2J}> zMTt9QOGcu5)#hO%kNMOM`_(U0hJ_^P6)Ke64UA7K;@vaDSu&YuQ=GoWbdvM=gQxT; zJcs2U!UvgRJU0(Gix8t1aDnDSh=o{ZTASL?9oz_B-M zt&Rt~9ZTEuqN1B96HWh2{9z^D6;yflW7{ym#m zRh`zuww`%lNPDYl+8;Le&c46q;IqqZLrGA*C-2(SL=6Ki;JH6%V zE*W2K&LcwiuzAJd^0f2d&d3eKp$9;^u!u--VQ->J_iPVGLF4euG`gnzoFmLkOhK_> zIIS_zGG?O?MrKHKem=fP07?S^2G#n2e^)v>IyMKM(9)t?+@w=%!cC20ve0d_w#!}y ztkVYB=$BC&kr1Vy%oj1Wot!XvNV3tgeI5O>B$N-(Ew-OsQwtZN_~<`>8LAQi1wLXlzX?v*6LxYv&nxt7Ii)-<8n}-zWLu zoZ3bfk#+Mrco@1~NuwJdRT|v6RN23BTE@<)cs1U#=-QGASqCGajNc-Y84Lo}ty{-+ zv2CJYYoN*wy&3@YRZWwp^R&*My5j1(GclhibI0!W-J8!Q(FBgI*CDxNLoTv2nD7e+t0ZGN(e z%gxg4((=u^`*tfWWiSvlJ+-HuN_2#=hq|XZb*O`eV!70^jPg{l>2UNrXRr3^8l~cM zbejjtbd-bltyXoj zO?!^88V_*?crq6aPh20?GkM>yote$LYt)PB&BA#`Z}scpW5?&jE1uE3asI@(Bu_=} zNo~|`pxiFsKK~@^&pO^TQ>rsm1Cp_me5F^XJ$-prmk%bi23+x5x8CGLATkP97tM1~ zMO8&+&<3dNAco6GC*#Boc=F&ka^ql)2Qn%S-ns377(vJ-kT0&0H5nTmOpEw9GDQBe z$hJ43MgkVhBdYX1c)L{;tp`V8VoDw<%0mu0I1MuBP6ZGrN&cklIo5 z3F9_Qold;I*UnNB*IgUc3H$sVFtY_Q*)Z`kI3f$M+87Y9ypfW!16Cpz5n#zw8k`Xg zCQKmE0dH?_;?9*mpY{D9{uE+9+V}d(ai=95cQ7{$o9n?JT%Rh7$PT|vejB0lGK~!> zrO^lTFj5Diny@|(APz_)W}ryeX6^gCK0(kw{&bINU1Q_z6P1sgu8$24RxE*_0OQd( zD5cbKQ-g>EA-9wMVMb7q8Q(I4~it(Qj=^ z6K{m;$EV#3AJGHJ_R2*o`W~J6_;J1|5Q3>xw+p~d@v>5+?|p{<_B6z86y5I|%ZM@x=bQNyR*lvNYw)y66 z|xo3(>hnsYy0fKl|P zO7?|CZSz)Sl+G2gvOXL1q|x-NqNwV%GVQ$%e4DM}JlR7pbgh%G|5}<5^=vkSE@8A7 z_b^40k$2<2*YP$NF02^ca4WYTJm~Hb{jOw{W}32Lz+AhOPjaYCB~8FX1n0IR>k+*v zNjlrZZF%MgiCG;ehwTeIiVwpvEdPQ*OEm;@EB3xQx_c#6zDlih;THQ(fIZ@HfyDjzxW_A0*&Ma*ST38a22i2upx3sO)<3@K3F zT4NG-Pu{cOJ->2EOm}UJ;o0Is=K&skMaV+}A|tnuRS!UbLUBlef^+?!<8pzAXV~;lX4)fL2X;d^=ZF_!BzkiEny(ddlzP*-kzoWWM*PSc707 zZS*=#WIxG_z zp(mb`5wEsq{Y%Y^>;gVJfzOQLb^i(XMg%T2s+j49J`X!6D{F;YLrY{Cs}fx`18_kY zO6SKYA+l9WTztnIcix~wN%KZ#e9`IOzm0mXgZNjZb;5ll&&lAD`*Og((ZJ@SDd@P+ z+wFh@0)83<7%Xe4sXi?vfWL;TGuS;&LQ+i@rxpXoW3}M@K64&W%rVaQcbTI0h3XO* z?0O|>pG$>P|EUJ;Ex^7YgW7bPwF+IZq1r<8RPgpXW@cuL*-#j+0c*GlHyd<6cc2#= z#_ZS^b{QZ=6T^?x!F12u*deFJ@xQJ8FYFIbEHUmwHnQ@!LSmWcWse=spT2>8T*;I6 z>CvI~{B*THVtOY;k7!+_2@MS;p&+?q5766>{QC@z655}`ULOX=52-Hl`OBTz-E^kE zy87_2gx<|#NoS}=^ygNR4r@GOdGjVBG)czRfZhDO_TcBo4012UsA%XopEhoZi@5Re zT;O!yrH!XOeSDqO+-O#}n`kyg7uw6cdJM)QRZdoqy2un%TH0`r&wZ3w`S)xr8#fMKXe)76{b(es^ z29Oes9P^Lg7*#~v@%3T3j&-yB0wuMp?lhtgyH$f*1Nd6)SZJn*a@{{aFYnmi?OnYj zuI0s>b6D@fKUH-I^h1K>bL@UI1mbELeV>#amEdc?m~#H*wg{TUo>I@}S}!l7T?zBt zzv!(9OA0Ah8t0(EV*t@Y1`1MIZLekeYwV^zqDL40-sL2YI3byA>46V9CocRJ&QvB1mnAd7I{Xrho zw1<4*HIC=og5O$WLc~Q9Ju@?Xbp_7sJtC#|Q({iN{4e^l0~f!n9r9gs=0YHRs(JNN z;VG$k(4cdm%wxvCa9qzY?!}Qi8oT}9yiv?&d9)~DnDXQa{B#Jc{9!a6=qApc9-0TV zI(6Z-D$pU#U|N_0&jRveLBrFtusGJE0_Gb2B9#e7Q8!~~KX+3XQ0_ovPw_>06n*X~ z^6deQ^R0$+i2KKM;~5iUucWVm*~?uW9TCY-sr`KGDY=gvzPp|ijE2D_(Wwc9vZE#5 zwY>Jnk&3ONz^^Q=to(2iKVRB+?%bHn`|S@~_-DaCNqPKuy`K^V<2iJh(X*+n+7;z= zEPQSzcbbddAl;9I31AKnx;s&yYsh8v;ff2d@4&0oT9Ar;vnOxa%n|3y?J-op_J13D;`KnjKO^+byWeWzNOnm&49}bR<5-;ukF3@WpVwHO zDG~!Y0=gHLa}P&{5`B_(eE9I}i^^q1hlxG+1{Jg(-=x9P`3R};&V7BirkF(MWn7X| zbGR->?!{?5^y_;on_F^`WBk({=>pT9^4^@kH(a$Yu)MIlYTxN|+TWbjV_r%Y>3q8} zkoM4eaq7=z7pZOYOmqWbKR4y8-md4T*}P#bo%rq-${+w%jLpqFE83v1J2*V>XJf^U zM7^W0mYKzJbh7!l#t;)mN)Pa-+n6#^1|A6tB>uYw(btaKVtizF_3&Xh zsuL2H0aqsj`}wR*&8505fq)|gV#Ilc5;4F>zulKJ&W}g$RJ@&G2Ol z25}+!D#;1>zibB3}*960~pB#$b2hOcl20U3g%)@dd1%sXw8QMhj zVbVQ5qvA8H{MlnB!_sFCz$yxvI=W_>`bKFmXi%P4VQksCF71P@Y#wg^7w)5d=P`%L z;h<{PA)I0T7VQf^|5E}C#K**}1&=RqB^}TcOkKbgyoE{uUC@!dtki97Zks9|ITYmQ z>%|Ye+?(c{R%S2pPl>r5? zGNugE(?6MOK5GXy@m}B(G+Yo7*y`>+51w7YG5SP|+Q}_|06sI#7WG(Te+6-qXXi7* z>z}F*-Z1L(o~Kr1eCXw-`tUa!N5P07^)89Qwgx)ePHPs!&dR2y>`JpgzRjEMa45qO zrlM?u`W1)ZAKmsb+T^E|qds?DF=Z9*0aq_q|M=sZN~ce6ClaElJx7W35I399yfN79 z@GDd@G9u~GqzFzLIm|3(b2*c`eS^klg)pa&zZCt#`DmP(6O_{QSW35F`?ZBl*qD-U z914+o+;=V+<(Hd7-sZeN6>FVK>&yt=T{YeZr9S7gq&xSRKP;VwCVNXg_p|LY%lsg6 zd}rk5?&C*~9u2!(Wq4#R_sNqgkn(15(cYK$)XxniP#-uk2Haa8rKb8{vf^h%P*O*C z_b_Vy6YoIVaH@Q~=YCLQ@*WPbKa`dQTev6cX1( zGB!)?efu`>Z7vTdr{Jm>o!eK2Bv${L1Hkw zw3PX1L3r!(h=l6SEke3ui3C)@Jbyu2o+h?X!uDT^=bBi-EAcMp9sLv@77s=%v@J}S zF-`2&pKX?T>rb;0nK^!Gd&1jVT5nH}OS6>UZ4}^#!|l@(CGtu|`-&0uM?B8JNU;Xf zA69K^9iM|Zy9RDl1Z>R7&7A@Lx7^*U0p=CsxqWljS>-L5*Z+5G{FcK53o`r+xB|81 z^!v}!tKEc=5`JifgRBx{E0_eFV8NtFpG4H580ORBMU-Zta#q6hWpY`&Dk8O6-sj&d z<(7-^w?wB$>l&4q*yL(MkT(*=MH27$`PWb&Q_$Mk3W{aSh_r>NX=CbKGHH~}%6+!Q z#>V1qAt)p|Zhe#^Jklr=?&s)B<&3oC0%Ufvy5P0;Vp7H^M> ziE&XY#m3`{46sMa*o{)KkPl>;BAi7 z!vCTFyCG~eWF-)0lbwl4yo$>@^J~!(gol&fmjoyczLvh2o#?Nit|Uku+T4y=3x^x% z2UGsbZ#WF=l@D(z?OJz(vDl3w(!u!K8za6=HDujM&i06t0wiy@s)`y_yBhr3@g18= zE}S>>ap<^K7Ri7;1g)E3nduGhP<^lGSBp4|6!tMY^+gh z1hzsBqrHh`V;5?_>CaaNs3JTS#OAOiUZ4L|ux<<$C>J_#r}9~DD~2D3?%8UQ#J2y^ z6KulRUwAiMUj<~8*XGft>tYhVrl3R?nU1hS(dY-Knu7FSqFTnrq5DHRSnz0wCkiOA zX|0>?jc7Dc*g>#;yHpO~D5psAKMaKjyY{ns0B+)Uy0-Ffk?sX;N#1E4rBl4^DB?c8 zz9I^$mB}zS`*Ir&O9REfpxR;He{(JR}v;Vz1*GZ z;4~e(e?Ylb&Tx*_Q}V^C$0_0#0vfiSP-NAZiu|!do-~HLj%(&}JkL|8nW-zrMDZ=E zY3?J7(zcB(Ai!;sZLzRfxv?-2a*ulqNX@3gm&)T; z0gFjstjqJ4wRY<9{HCMXuHTE}{NAen{4)Ic<@C(YQ^vEs=HEl=YudXdd}hPVzYl)w zqHcKF7_nGFjRU_s*wq^uaYT78F`;#_MEGym1NYZ*+qc9P6Pjg{qw-07Wn!a;6%`29 zi8nH-$pL{|EeL~2t1mUd1nos*MZ{!-xQcQPFz74{P_|3ZO#QtqnL<0Y)?imM?zAVF znaS8g$EcDix(M7hK);4Pdn7g{Mi-HUyOW*_ubzY1GHn)srUl7#tp zW==1QisI&lfv^iA&uPwcety0KC$>fphI94?XJ=d6+jmW+J~T8jX^1xxjE$1S&gN1$ zy^?6~`Si(?>YqM-jF9~GvfUGn_Q84JQm$nXHwxMw!JNMlor}8MBHvjbJ26P-N1B}b z{)jcbgOY3b1tk;Jye?>J1~_tT;rFNiW@IG$&6@|a)6?&=pj>Z zfS{--e>v>KBIl4d}5>R z&1`!OZef}C8;|7oiiX#nc(pGa zr>4;Z8*A&BjM%9|uX?D=e`?1^ZxIy#p zjCVM@y#dqP_#5~QnV3m50{*o8~dJsJc%O1LcoXMqhf!k)tSsW`}!Tk7HKVGEHdpG^8n2CY%L)il?D9a?Fnxq?n z5g6n9v4-%w(AeK!raWKO=S!1(5#L_lQdxW^CR;IP-Y}u#*1wk^-kE%p!{u?O^R#ns zk&l4O#B0qm0ZI%m&RAqUd0mEcx7uQQ_YZBQJ70P--AmNUFc)4wpmUZ7#86wKFvB!AiQx$%Rh{z z8Wu4Ml+1H>w;Vln*M9Hq)VO`-S|4Bx_f6;dQr9!!v5huS{DpsEfBm^F;>}CIuO}qw zj@-ao^S3?X>RRBx$CocTLHN2MC;}VMAq75uJofs%7W0bo^Rw?ZGc(@+7dnapD?5cM z@K-gt0CmF`fQ^`JJhQ5Ht4bnFrg;SvASWAHM~8-#%{EiT_r8Xd;+!c?0*ICa*4|mf zi*3tIblCJ9_!Y*~33CZbycO8enynQm#{Xme@1lf+9&YP4Pf(D7TxBY^crs(04xBIPw>!K7`gqw^H5r ze_Q}x1HrfG{---np5FVal}FZ9)o)!5ihTSzBt4x%fg9o;oE5v7Xvwil9SJJ0G!|8t<>KrJ zvA|yZ0iirts-(%&czF0!zD23W7AP@Ql$HJTy*5JJqObBM?B}VbrX~ncf@n6fZEli= ziZyN|3rGHka}v4pfX_D6UBbI$@lTW(6JdB4A}?^e3OXq^0l~VzF z6vq2GZz4FGjRj+oL1CUn-%5DBsIkRdziM!Bb06Lri86Q_YN#`w`{X@mRd;ne8A?nH z4W-0}N>uJiGn-c)i~O`+@`WNKj9HQzPr)a^0AAbUdgsNXjvubqlj;#uh5Oy`;nsc+ zifpIX6ZrY$uZ+!jEI>y>lzV{GzFc+?yioongX7DbC&wWldGM`yS?Elr9J+GiRR&EB zktleUhG(=2g({f@%Y#_%IQs8)*X1q_$tUb`A7A*~@T6OI5cy}99(P)9(yS;fT zebFlS-~5%ikUmx|G%eTn!`6)#13A0yJMTQrbaj)BF57W%a^{cDgZ+)DK`~OqpWmlZ zBOj9YYzx;H4NblWU3>F=_EDMAF^E^^Fw-xp{4>56;9#$SFD3@#r?6RNy%?hhk+=!T z(3ir=8jW5YjEg|R*U8J<1mt1Qtcj`Vlg{Vcwrz7iwzn*B(+75Gj$r^|WppH6VGE}-EL@ZSXlhX@;-oJ8Qp5ej2NUP;NA*cI$>vYlDJ z*22F?;E}eD4$dLQ^Z~FQwf|*%$Ugl6%^#+R0f+9rKL^*zG3p(lqoPX*xd8Gd6$SFrfOAn#IugB>f&vPhTYo=4Ds;Rie!B4n`!F~s z*5};fvm^C2IGsokT;QLkyJ@-tHMnl{a#!ttFBd^tQx)3Y44S|Diy*rI3>q4qPbf zE5r5EfTXoE7tmCx3~F#S7e6ZqOI5UzI zv@|^)H;}29Fab1dOM4s;cIW z%G)2y{@C05(4fieOWXc!j?MrgBpHhp2+^QZ1GCvz%RXa{un1P6FMy^2L24lH8({QN z{-|b~<9Cl)I5Qy~4cgKigPMO|q5SMBhQ!@YpRB@S4s*e`T=W~wjM@isWa^FV10&ZI z7HBp}6|x+)ut>!RyKnz~f)2*g@!1<*cR`ZR?If?*0x?EgUMx=gRa}4q+1c3<56M$% z`P^#24F>OV74PRLQ$q60zT<9aO2%W<`8D>%i?qm8*G3%pXTkOod>?J5M)xXk2BLpH z-n`3VWri7*qM>@#@Jip-n8hCIt<{Oa*B%D04E@TnMPg{X=dE=4(-4e z_6kP=9!Hkttoi(B`~_#>D*ot}9dX%U>dky{cUn&RRQ2t1Lor!nQ8Vp>?F(k%Krn?> zRN^gudzH(|%d_J!cJ$pZw z$Y5HDc!S(v;4SSMNgTSiZRxtC79{T=i$_Pxnv@$Q^_Ncsx!v@Tqdpzlp zQ4DGV?zVP05vh^67XEXBB(4pUCUFb7&ZadtCNV)!Bc4>w?>@bxrINto*`nx7|5wdG zz$Suy_bEA1amHINzT`>5`_d#{522L3y1k>f^IbEHFVJpSpq z?A6;=78X~4+@JdVGS(s@D>KsuC=31;W1n!0&p=5?9X-VIP&+@fEWjClh@%WN#>V^hk7 z$==xC*8ya$uYFIbQNr|5EbjPz4gP}n;0+LQ4P%bp=V$U`4{Y?ZWvLfy0T-1g-h;+n zx$WEkQ(XK1?DMF@PZ&x^)MR9CcnwwQX4#!O#av*KH+W3;{-JXu$kWy~E%?=r4d>3C z(`itH#4BCx5QYIfa%Z8zc{X+N_ryl9RD5|JrnK4Zk_rmz>+0&{l$1y@BSAI|?yH~p zc7ZrO;r_Lic3#WOt&zu_(9-qcL&&}@n*>=g`M?dl=DY92_RXcKP$Ux7Dh$LVjXcpt zG1lACQJRC1w51T6A-H&{M|dL@q3U0Q+yZWu)BLE-2qOM`3aG$CU0Z--%@RcrsBnYJ zh0mWy?Av0uEjQ7d1J4KBRh_&U+hYoin}O4jG#cdJN8h;3Q7}Z}a+p&Im+gQ0>LHSW$9RjmT64(? z4B~c}kw9D9ZwmrKYy(LU+nk{wW=G6Y5$LVPycYAd7B?o=4kL?88~>kpUpOet#srV%*zo+s28B2@>269fi;pxUccpL2@xTJgi;E;S16I z7mT6gu_xLDs1Gp3T-mU_?D`*REej&Cwn)7F(Y}r##4)b{|2Uu6P=)!wy7{%^t2jEq@hk? zbWd{m)+m~RHRLP{`#-7*=J0 z4Gi6c6nx7*EB{na25h;Bb7NcidD!$kPdhnfn>A!I;~*Ptj3v{7&n2oKem69iQiQ7O ze+;acOFZ6NH86k6SA_$L^1%P*0U=bu`L~Ri*|y)W!OjxwelqVmdqEr1`L1WvpWeUZ zabh(!^e_5R^V7rGZQZXxHZ z<8oKo>D>-AR*R1LEI|U;=6BMD97Y6(zKqC{e zz^G`(I?PL(eP4MDQA193FxZGs<4XTit-UGR@@%gh+b2v*>rZbK<>z3!ai6X{)@kBf z5ZE(W`B2t;2x!rzd^Jb%8h$+w_`DX*tsNiQ=By~*>wD(>_ioVDhB-_2?p-bX+d3N; zm#g>`MZm}t+IL|Yl*Zu5M;ZtA`!20df|{2SjIxXDj=7PQ2{<(f1|rh@FKb=B=b-^l z4WY4*JwF`<(78bBBJ#?jaM7W%ku=pXvbT(G%$hs5bNvpM?Dc`U3F#U70JYq*`bMjf zlG^&`^pB&PtREyz6C;k0{F$T;AOr(sWF(Q`uek);=3Y$1oT> z^s_pJXZ-=rqYF~xnwZm3P7oIOHb^O^*Z?Uh+vnb8t^F6!SlBp{>g@AD{E_33}_Zdj}8G~GX8jb6j3sChBzv9M%%$0ioAtl0ioP{r2EK8}tvjk2VD~m%R5r+K<>6RX8xC^nOk$ z-BmgBL_rppL*B0^`T1{g8xS|;rIm#-64Brr2gV3D7Br9|vHKAkM1L)P3NSRa^FJS2 zK(MYKh>gSRocm+^0wYQKzwX4w(jsXZtP}Y#fol_w4O9hg2DjGUZ;61khom4wNR2N#eQxZDrWq9?gE_7}22<8{hMDm-mI$q^v$#in{d`&dH^!bM36o-8D>DTmUze z)g=}53jc2@S7=ZQCEziSUd*ez)gRh8U+wwDinkt6lB7UHaV@SJ0Cg>FH6v#HB;~N-QH8jcjb54 zWskj*W^wWM!1Wwvr~Ikzv^!zyg6r$L)?L6qWW65=$PRk9dU(nwFmUz%Y+vKbU^uw3 zlAS!dQQWKe3?}ch`M7;lU^mXmF&boZwiP4%21$EY59%>@4Qx z8)}6EN}#EM>=#~!KH!76P{8W4it2-qt7oeqQO8(cP0X+8g~rN=ul$QiHj`urmKPBB znpGx-M{Fd@cdMyc>~9D27xh@m{E6jNKm)l4k031-Cu)Jz+0v)b_N1S3c-f}>rX0dl z5~b5te@y$suU5L|^CH%Db0VCP_>R-sW<@&d?j2Dnwps;KSSH0;(MGk3Ss;IT$c>KnYIWb*>0<6@cb z;^Ok=U*l$U3%o!(Owxp>`8#ap_QrzO#zVfR?-XwY{w_5zYEFnn7DGUD;u*$ZL# z4D%5BuU0|vFYl^OkDc&g!GB&S=+*YHkS}FVzzraU-_;I5>Z6BcG4AH%y1lQyviQ{{ z+5X}FtI33*3GwCzKE}JV0p*7dS=@6r{4RX6i&M{HR~HrN2}iRTF~U$|D5t8I>MIrq z0X~av40|_Jk-2a*O)lt3rsN0 z*u0Pp4+|qWDV&yi@Ikn3<%yQ=E$vett@754zwr10)RxgPF`@c*#L}QP!MIL$zval& zf5ylX-f08g^UBSeTVJd0+6Cyevb7b{R?X8S-wmOB$Hfr4CZxo`f zQWd19pv*mRIb-0?{rmYQFJxKI4d5*yf*2DIfGC9y_z9w8MiK31c=;xN=hqLiSNO)Y z1uBvQH=_jj&X7Fh+OD()8S=*^BihhP&v{2wvf16T+(d? z_IoL-$Bwp7*5QuO^-W`N)WnkwgaQ9*n$QzwOU31YwN!Z09k;ktSPR6lM@PQ{TgFKX z&%O>dBh&3U?w{H&#Wpi6O5e0&7r!s0s1FcRxo#=zr( zN2wAtKZ#$-HQPUyJ@G8(C$ZuO_}N~(a*uzGeR?NnZ-^nt|X z*J7z}Xa8Tp(OH+sKY|UPargyj84MZ;ik4+Q#v(T@hn1J(bBj)Db?&I2E3@;w?in>U zgFVJHhwH0~TOPbRoWMBzF@m{{fg9gMhIN-4u|fmfBWz( z%b3LIbYTA0#yYbT;y#iR5+v^^fqT5FJLKZZBbKl0CYk+rQxSZB!_7eQ*yFOrV8im& zr?{k~4nrX3y1~)WthSdLJeVtozD|VWV5nh_`+H-IdaFgq+EhUk8snQr2AwufYaLf=!b&L6*oaX2O9t8GSG*$dC_L5Ti|)@{dkcPlaR zDikOM?X7J+Kz*)wLcx8=wp$%*7N8j&bQFO@C2<2(Yv=}{u-d}-Lc!4s9<2X3`Z%-D zQDM6+0LU)kDgX%-23yE$&c2q=#_9mI2CYU(tCMGkLToHvUUN6q)W-cMq2#eBcHQVU zjfxHy_+l0p{UCJ9AidZ;q%Y4?;#LCVXt-hac*A2e3DK%4qO19`7tsL9${TT`lLm(> z_{y7HL0FNl_L;mE^`+~hy$z1Z9|3qH1HTIF4IbXSGo)~_;4aWU;;5iJ&DAO@pfR2o z_}^rLT1@gs2dXX!ZD>~L3KyFDPYR0UFnGLl2qP?>pB5m0vjRi3J3pd}>>;p%?K{Xw zoaW}+;Zs{d?pIPsVgOzz{iBgOo8D6#NN2$qUMJIqK9mODo`o{yQH=IgoobWoxnCGA zVXtf0dO`)1k5r# z1!iOlESS~rvtmmmlQp))q+3PL-9PDVFBtiBO(G}V1_sSdO!nEHTOlJA5fPCZwFV4D zNC<2pq~JB}1b&IaMrrg%ZT?se!5DbVsV9*3>y}Z&9!7W|g9N!C8mjj0?g)gPV~{wy ze3Xu-mF^i)<`yh?SS;qEHjXu$m211e9t=_SRp zp!IQHReh+U(@R%jg|}-loSw-wGNJ9R3ll8=;@-V6gaNMcb!|FI#9~65(-DY z%#nAn2xA_Mj=#T_wJ2Dqg}v^tinyhe)sUzJi7|m1Doj@t89VY|v+|A=GnyFf&|c=- zdu6Q+O|Kn8{#F|F4-BU3_R#RaP^5(0}y?Y-J}>jdc!5 z#FC0q>_qpeRdRNsd?vW>k>t7z{LlV%xV_$c9!!sAH6Z8&EW~haIJASDWP-QZ+~^L( z#2a)a-!0`DyfDH64&c;|_;uSd)?&{$vaq0sH>T^|%?2JHkX>0a888nxiqyVAhD@wP zG^Au$b`EkX;jGD{uV@Z409l-h-^HZ5~vLYdDoSg}7#uvAS*pM644$ zMx`)Xeo1aSFOU?HJyjq2>wih;!;1$gq~s^7>aUNQ;DLpGdzYOgga|efC7q|VyiV}u z+r@PUOH+%hAoQ(Y00kT?a~IgszPxYPTy6;MdH<}jJu_L3orB{I&#j~b`Uc0_ujyY>ibBUps_y?IDr5OKvYD9gk zWZgV}U)75aKSoFC<=dJUlyB(n8YNENohd3hhEV$-dVe@7 zgtFtU*Wtm3TrXDD!=mpU3*_(suK)OPYDWgG`sg`Yp&##3Y4&q|8Ubl>_eE;i!*YeN0L&cONApHs@+&gAvEmv0wbVln>329^p z5=62`B!O`jBM7kGfPFe$-9F0HQomkoB zef7VRk-Py=I*=e!xw*Mfo(W$8Nt}5d1!i*RCd_D?OwLV)UPax2$I5BQIb1~7*2j1^ zN3qDXYO+&(%#K0{)c2Q&zQU51ZIBoYzC3z>RbXf4(^j}w9JfiMm*p(vUvWzX5-W!W z2Po+CjvMdD-2jv58c@A7G&H#QV>`QW8WG(uXAh{)Gb4t7;b47#AvQjK7$h|5)cVF% zFpLy1AV<_be*Yt~bVf^Cy*}>J{Y(RSjrdpKhV@~^q{kMGUGJ%sBm&ut z&CT^2 zzM9jYnr8Ljk8}x7nwm>epq2rzbBl%N?voMBR}!;&H~k+@%p<{pRyc!?oA^QoL|I?5 zG`=4A{5g4J!n$bphwXe#jf-5obERp_Bo71%lPjGmz^(T0zt*c7DAU$Dopivkv@+%n zd{@x}#R6*)Mj4Z>EGIX}-;%hz*0k;66DtbO+kePr`S)geBv%2Wwd;)eslWM6WbH} z)a=@4tBUVC&$f7_sQIQBsVRLs^Ubr+qy{az<{?WTb@w&P)P46HJ*!Bm?Cl8r{R0SO z@wvT1*c(aE&iNlbRQ4%?&BBG}yS&$BGOyk&pS=#WcvY+p&6~ILM<=3omvGzvs0+4}DoAAyqd)IrY(_()8~wie=fZM9 z;+@3LA3q+wcK71^vfn$V^B2B0tDbzXsyLf8c1bYNAe(hPeYsRM@>hN2=|cy z4K}5rb-N5~j`8wbpc-VDn_u(OtIUX)Gc`4$ne2akH}ue@S2H#<3kA|^>?@xOz!o_^ zx%;Qr8;Ha=5%hwH$$`t&;(41!CJ8AR;Cy^)=}e_Wn@w%wfLXx12+EIVES3L4UW(w} zeGB}=WoO@bqj}!H4Y*!KkSue3_21YYPJy?s>&$6iSe`D(jx!JoG0DxmdnvGgwi((l z(irTA6=`m$2xFlWi&0>|*VRsDy14^2JmExpV=<4IR)(qq*0nt z5TSwIYRrYpi{%6?u3vY*;q}|zrG(>lt~Sh#vOd!2(nvi!Wl-9hG|pkyKEN{5H@X7l zLyqZ#bp#s*W?QB7qMge!qye!zD1_A5eIG`KH?x(BBRFHSQpTcqm2YP%ZYyGbm2L6T zdmD5s2g|p9)TfODTigT0Lx78oje_=7t8|ma6WD-t9d&xH{0iUKw%>u9ZY`^z4hR~I z9QDUJdAYc@{*B%Pey!@F7sg)VZa@z%M8?#(YsNnoK4|coM``kNsR~5({wc&?P;@G{ z`v{`X-r(fCe*F*hC3@Y7u?e{nJChBkEW;6&4N+GrHZY~ugy{J*kjwfsC4wM$_u(x^ z$g7uMF!DIXC%h^xZPlmaJiVF>$+JLw&si0KynB}CHawn(w+jD|ou|p|{@~R=1ru}g zx>palCn^}_k)7!}g~$VTQh0dIoTdB=l=qP^VOH1G(LoAS15~Ct`?dEs6QW!I;73i# z*r}u(?xMtNC1evd{$qFCt`vA~gH~E@mV|&~TRx3BG~Jh(iKzy18Q)O_R0u2j(aGsFDpI)qTowd5hD8mj zX;=T8P17Hk=xbs5#BjjZ_l0x71uw6{zv|+gJsnL=2c|CdO^1A!Ug^L1%NF{Y^!e4^ zz=#&b4fgLGUif1KN&v7VazJ)B;m6~Mpi*5M6L zTl_^w11`F+r#`iNY3tX?is0)H>edSyPqP+`v>x=n)JfY^cTP)X0Pd9d7&o^qH-B(j zrzuy+Zj3u@(|Oh5N0~RPe&VIg&jakYUT1K`trRI3r|11ACyNh^30I z(|9eBigdy$--h*Y2c(8Fn8 zR_bu)k2}}$^JNi>5&|T(J})8=>NbGB`k&Swxg&|i8{T3KBco{JO0_?uR{JVKYCD)7 zB6t>Iasad<@t!0|vv!Y*7yDmxi9E~|rWJ%emhd;60!KP4x7b;2rnF`q;KCa@-5ZO> zkJQj$*t-QG0<8tb+AO1Dg(q2k>4##K8&0qju)J&rbqO%qsr)+gQgK>Wag1Y*C3-vW zD!JIT$%j9^WBwJT9k)~D@e%l@gp!W#kMTajY34G^Q094v!pp9*X-oOj z`Sj0w9r(l$+2J@DKJR5pPuoRna8u}qS4z+FDjGXR4r+O*qEJJbS;e`v^2hEQweQ}s zp!BkKA+hzFgz>THD7OdZgGb*F1f>Dq$2<^z^5(C>kHfq6z4D{v7x{1KPu5EnKO}n+ zC53A-SVop}AR_&6hT9w7Z-Q!FeDjSGMG15M%;%H3`Q)IDZ$+OQ0VAP$(M9|;DQAIF z-g0I3P?`EK?v>q7HaM+o-SbJ!Cp|##XM0v;L&fIWzn@Ca+EX-ohd1@lKRC0ey62aD zv}tOD#ljY#M+7Pu=wNJz zFd68d+IUX;Y|IuAwhCJFGmQdg@h)%^N)!!y; z3Qo(&1v1JtbH-^MbzQk{^d{It6jqWNZnA_Rvn$bm+CHR<%CDsfMv07gu5ep4onY-G z!@&?_gCwIJd!}BLcHgu0S|~a2So!Cxqo?=f@$-I#oxd=85XKUr1BpsEo+2IIPoV$u zlDm{u88^|pKe&JS+7T8{EbVIo^XxPo(bLp?gqCdQwq#GB)Lez;Axpl8YUSMkYZZwf%R+wpr zo#M5zfJZz{c4lTJNNX&g#4)z=Z}t#Ob5|!Ao{c_x{+y&F5>^3vMm7>)P69B?zm}$K zAjOJWlfp&HzI{s;XF%XOf-&>Rx_-23+TVt*vlENUG)9Qx#iUPhXu;r{)>g@ua5 z2ahSAo~{5LA80OFKZR*&Go++QxyL&PL4;V8u$@PU!pBda4$Mg5t^*x7>f48_zpacc zc|=JM7SFftsEGE4=d0_`+XR_SS&83duX4(~?_rzG>4k6V>JSeTd_lI&wYY5M%=o#) z*w|Xd32D@2dMtQj6IvNqT?!!WWy?1{-N>BN)}lXCHi_sxB6T5b1nNgHXl!i>`~v4U z_D=l8N%4ko#L7V>)PDgh4(UG`nw(@QJ{CpdBjB?7+Y+!+v#bC8`x`3jfPRof38z`B z6DWB>8?sY#LJ-~;Vnip5i945affV*OE}Up-^XGqhT|)c^@!7gs4&RW)@0zgt;`U#> zupipsZNOqsnyQk5n*dRV!H`REL9T;7rm5LkQmm0?BrXTRYeq>N`U=6MLkTm}&m)0d z5>h_b&n=OWD9s#O&&jFxdaQp9)zp)_xkp~225E3jWY)2*mUFL!p5_Q#F@t|w1eo}L}nBM#&cI+kFtmx#d_92<); z&d?+II|+&>*NrgJsxQc|<1@?_9(G|M0(AV4AT<<^3Yjc!HNovmK&AEMT=F)GD?!TddLa@IpFSF)T{$472b4{jw*N!eufyEpD+Oy{+5u zvAK4dkqv+{n@St{j9+j2uUD{m+*f@_y=!5RWh+HPe3*8Z_*1Vj!>R=8A6`#k6Y9Jz zRO!Pr`8I27#_OAB5T#>u(=wyYW~e%>^_#a33k$8Ipha)GIY~Dp)qA}5eMC%~-HcDkb$H*> zmOxqgqZ5i_%Bu;=;{ zUJ!%NdD+;cHvA)>K$M>L;-5)L)qv2cPdW#SkDB5)kAM^4xRSb(d#{2=R46C)$d?2*`|3{~dupQACn?K}NxVPQe6#lB(3 z=C}(7-d=%H?XGm8#c>2XZwWOkzv=aBEWAa_?p|w8-HQ1GLxGHeQWup|Jw_(GZd|#N zy6W{SB$N#~7yAOh1>8}pc=`zs`9Z5a+n^0j%r16r+Z1_&RHjpDI4G!6&Do#AH~RuL z*MlYSY<>CmO~0kP$i+0h&G}($fHn*tx|HY^y6>wmU%b2x{ovi^4HqyK3fyWM)e(um z#k1zvdWr+!wa)i<3?FPpccLhz{@p5{&J%yd=$?mj=e8p?xJ_*tS`NgLsf$pqggm~z zMb|bp5vBzSHPR+ukZ3$nq2-qAkz(6#V>A<^r zwpNPwx;(O9RFq%(!y|hL*LT)r%o4K?Zj1iHm8M1zCe9=|VI{qAb0W&eZj0DkZJk!V zXZ3y7ws+%@d*B3_p zPA&Bq3Lcyp1wS~Yey^SBabDhtt`FB{1X<(9Aqrn4YdFnagq9q-b=`8k*_oL^XlY@# znX1VDcGL?a3#12ROwhtihoK@$tpW8I56|6zD6n#1V8B_mSajd?`>%dG3N@_}6;Fm5 zC}t9Oui*2&RkWo91S4ReOhJxpaw0-Sp0l?D6O?ZJ$g?Z4+SlG*>F`WQf9T09Ww~vG ze82CQKySbc%~UJj(T$Wvw|=yxN?AOuJar5sPg&LX|B_RIG+hA_C( zzd#@>HZQNNPA`(p?oNLsB8KnBZ#ceVlfp&f=C}&nOpf~py0c<+U;pp()W(#PE$7n~KKj6H&)YzC0xQ z2}i`r-wp9&yk;}144z)H%TJx^7=Vu-(@+ojg%mF1y#JM>g z6HkBoDB#kDlKR-Bnmn`ikv;xi<6=&e`!#a)A^{@|L7T61@dt)qk{`_xV{Y@a;?du) ztp_RXMawLzNYSGRN4ItBi+cZ!8W+_D@ezvo_;`|7Dl30|zkP;2=YHdcU98>TKeL(7 zzm(3T_2p|UyGAvorGHi)diXFb^Y+lokRbq6>XZck^tKP2CF?sRKYFF8`yXq6@wh{s znSSJ1{Fy?#QC%ZRI;$t+rCF@`ea??$O*Y_uh>wNEm{)Wc<|+U)!3cNj_ZeoP_?4U1 za0#4Wcx?C}gG!~;Bg1+v9o=2aM&yp1+Wf8$GkBYZJGN(pglvknBpO(Z&$KLMxO3BG z2N7~Pw*)I?Ol<5Bw2~UQchS<+%v5HMpj5m%cXI^3d02De#*pNtVWI%#6ZyL=nO_zh zu(~t=msRS(!qU=*z&#kiyMu*m8^uPSc{g~wN6=gQQ)UwW(L9S>{KG3op#!66}< z^i>c9x^PgbWAjGQ2&8S$ACF{}BWtS4t!@+<+vM^AM9j{^a~0Fobo=+-V#&|*NHBlU zHcXYkGO;O(zmKaL3IqL7n0V5EH^zFB-;G{GEs@4FTqYN~tXcJZ>(?n0RtOZAsKpbh~%uCL?ZB+Jj^0xmHyd{??q8P_H_05`XT;Sx8i$zO>fvy(oSbCBTIRjCpE8+;s#hW<2ni+Xo=Q_^Msu87&W?AJUzX&+JBD^JvjS zBI3I<0JmHAs@LW%5NX~UJ6jv&w;SImffmW@0T>5cw=bRP_G{(nECZ5~%l;LNCYh)x z<=G-lq{9Kq9yw;>btFPDJd8@W7hn~*-iT0^1Ii~)SXz><6kZz{&{g$*z8SI*VR`vmegmYM z-YMjzM^t=Y#55*Cde_?pB>ogNj+D9I6SxEMTbUdZdGhm~NiI!|9C~wLNUKG@ybsl8 zfReil>23oA7{>2|>j>JeHL~S!sPNj1;CCxKe|*E}plg*m-u0bM-yJcK%Au>IZD>^q|bw%m^ud>;7NHfcCQAV=~@Z<*zPTX}4_w6wYuP+Y= z;jZ@XlE$xh{Um^<)FUW9CHGIuZZ4an0?+JYYz0=(3}*H^uJZ})T=#WbZX88xF_A;T z7N2>wiN$csodzN#CT2xQ^dhv<20J%*JHHFt)n&fXba@m_B7>8pC9`+s1^1sIn1PUW z!~i|~aOV=#YCgTsvKIr>A|7E5LTD=hI+<;kgOT3F!C3x$!$ojwr+^^r-(5jz)vv{b zOd?aATT`hzBY*$-QwQ;s?*o=vBn+17twjU$|Mp?%`EQvX;!aa0c_;v`l2 zc;ry>PBL=r7u;KlQ(XiN7J&$IfOa1S?y0uDLT&z}iVb$0O%RS?zG5$X67KstV70<{ z)#h7&`77goga%}iZmGFhcypfmFP#S^2QVS-a*Ne3AoJ+2>pyk$^XJb|byPB)--f>y zje)k4PLYz+MF^?S{gxzE?WL!-yS^GeYj98~)YJBww?CbXd3_6y_`!lA-jwuC-t zal3&-R5RC%Aoa?EZdz$Ztyc^1-5joI9p5eQPh z;v6*JwusL%7Q{jfeIKK8j7K0NU%hnS8&e;RC|`rE*X=K*ZKe?ln3FFr`AQmH-Y{%{ z#XUG^s=C|YVOW}^#S+kqpMGwP$cD{D9vM*!`yi;3GM&8=vP?FI$VZMD2ghPE=Z z;-aFMv9M|u6Z_i6RRv6nIGRxqpV^d1Qm-L1nDL2kl=?p{z#m`_RH@dyO}|rE85q*S zMbJ$LEh5%LNFk@xc<@y)pLnIusQ@|H8qbG-v>#6{7eXK(0*=2_+kD zeR*mQJKNkUJf`gA0hAtKVPs4XYG4j=n*99g$o|;Gu%%!N0PygO3}Tt+XnoY_`Yq&P z$J$aH0d4k(7Tdd9{IJAEgtZ@-e}!FQ@(G+Feaxw<~I*~5+$F>0KItF( zuJ{9GmAAuxSGa%L?rJprhwAjF-*a;#$zE83Ice)QK3c+1I8}BTosMe&*;M)CrS?h5 zL9wnbCf+Ih#O)=o(4e{aDuJr%>FOFe*9+N$yuvTIZ#ZgsEKOhn*If#Myt2B*WA|8`MHqkOB~clQ*?UvtC{kpB9>#ths12A2+G>FVdgkl_+|M1OwpP?b=!B2h5KDa&S6uUotWXYr##`g#b)c(;~9C{ z8ALErYQV14z~J|%6iZy;Z`-S8-S}nK0Vkq7?J4B``-=6?cw0@qExcTxPg#B3xc+@k zhE?K zbgY%CK=zzUtK4fqxm&|NZ*;|d3y)!d?+4zJ!^wsbfB*V8I8B7SRn>S|^-ApQzwc$? z>o1sFF)Iv)HOX6u^5&IEfeCsJ{1LMwHHCwdGaVffPG_9RR)lv?@f$oM<8TAGJG20j zQA4L4Mq52AsXVTAl`82I-aGXL#W9D4Vf-dl4~i2R%g4BhLHv&j&<-!U`f>)>D@_?&yvky*sB<=$Hq zgySzowr{Oj*SHv6x7%r4e(3vJQzNJLYaNBNJVuT=1h|BWy*^|-grMB*-NR+^W@qusGQiEQEiot8p_hDOOd&Zh4lrk__|!b&lW`)Ka6O~a156RK~MmE>qIB*|N*Z9csA zIk2d?fSQY0`?J1$ew0~sFxNk+llyCbOIX<`3wvY6i)mB(8hO1&|7hJG>Q1LGQB~fv z8EPC#4E8_G(fe@C#nUxcLt%y_GaR8*Ak+Zcaat*{#!%z%*0`W;JtxKg@Px4iBku{q zm9<1d1SEQ@j_=H1ako_sc)O<#4eR^gNF7h@dt-t<^eiynI;!5|S5P7OcO8%*J3 zsFkt3iF)~D7nZ#_Y$1EagD*=dIvRC5D@BI{HB+}77ohhv zx^~>>+Mei;1NC)>)vDHTr1QtQlt`{Bq;vZV?XDgBIus+rUX7e+X8W9`y|z$K_K9XeQPEsjY{-e9 zvb5l6;jJMiy1(NYH=F-#KD}qi>Li+nKTYFgyn&xB4cCGmZ*ut4lpn^|{$^TttjJNU-g zr9jbta~}>(O;3{=T!6sf!pNyJ_r04W%#ciP(n)tV5HzivtcW;-T9QJ&X#AWc_Wca0#APYP1^U`^F@MKD^9rZu_ z$!JSjpefT!2`{E;DQ8?NVzz(#@}>F?-%$1M^GC!v#D=%ix20;Xp#<#V$_7n?K^Y$7 z?Gumi3s=GIBx2ngqkM;MI@&_JypU@q*qcW@2tnN8dd}`Py z6Y1#nHg^O~@2Xg1<`X|%%jhZK(t5F&$v3Oew<}mrA3=Dr^Y1 zq+>2K;-d1C0diI9Jo%s|2RrwtYW&YK&E zTUcasb$+V!K*Wu{`$`NXL&fiz%UfTbpS%V_jX)VdSZeTU0_SXl*J&|za(vukn64k0 zY|!NrMJ?Z-aXg7*$QX6gqc2KeKk#{+( zmM&g5!RU>fk&djK{JZ@)fF_e{1rKa$Jv}|CK)7+;zcSu41ns}}r`_LwpM&88P!K;> zBjQG%0)>I+@XDC`Yc%MhZf)Sy{mr3QcuzVi@T}wC5eU>%1PvC*(^RvMLY713%R!mp zmd3{04ug&@XCAKmxc&I+%l`bTo}ot~EcLgF$Q~AXlb(E}`(9(~KC8o-1{PjX7MP>= zqWT8du91-u1-g=Bae$R)wy>0Xd|$@SSqEf>66klz^V4Y{ak*)AF(Pj{OcwV%w|;u8 zJbUoQMkKx|l58SGwUQE%2m`T<$vp_0!uUJ(`FZGI3B$HJDX%L$Ee|gSn2B@18dF$5 zUIT)21L?N|X$5VKvINX7kY4bsUrPA-0Z{=sH36E{I`g~1RDp|MTJ=}BU{c@30@dLs zxE2rUee>R_qpO?9pHb?_QPZyeq|?=Rxi=~05z=~bFzC#R)Bf~t9vBe9Kh>Km4+vEktm{C5-VfEWCs z)#ilsB>@E8(^M}{aWJ(|l$0!vNIHgP%n1a9in7J*db))p4`!QiT9NoU538AVjWLW^Vh zce_GLOq99hqK^;0bFXa-P%L)B2~Z^fJeHh+y!2YkNQWi;6G|p|c>N`>NZ;hD!B-T@ zhCszcy+q|pZ08YuioIXXy;li=w#-E3PbuG9i z#mo3-aN&)~zb#nS+Eip9rj0uXXUDe-02W8SeK`SS=fSF_03Jb~ww}mq*Ty{$b`|OY zXu$E;gYsa!T6D$7Sg@XyEquL4Ea}F(VfahW$)SgFNbTTTB+qI7$^prM59;2Lh*Ni= z&(zb5D8)dELzG1Fz@t!!Lxgysx~(p%t_UJ zXUa5L%ESU41m-=GighGDFD^$fqY8Woe$Vr%(AXg^ zuI^EO#WgILOuXjEA}Ija&adXfhKHH>QSkBM1m8bzED=k_LzaqK=~sa4L}&mukcS=l zeUV7!%XsGXiRMw%`>>14$Y1}a_%Oz;@ba=>N`=R{Pu!AKwv1lGC4j9f{(fQd@%6O@ zmPss>2;}|dKMyR8GzSsF0zc=>dlGu7IMu}g?OYWQ-&?Q@;;0%18BCyj!h(&A=$w08 zQ(a94-i*t20*`u1a@(ApKg}UE3a@rrr>k_At#ar^bOYEy(KefM6v{z@h`p43^|~iB zOx0fEA`5gHfCJ4WHvZmsSeyeBj9%49v&*5veJ(Y!3RivyQmyf+YR8{|OkL}(mkd4+ zi;`13*nj0Q9}{puP_1---3c!!|LHLpy#elo&W;~%bZiN9N;4Us^RsTyNTAPaHKgWsp50e{XShYC) zBQsD`zb)4}meE8xU#+h(_7r+P&CzGx7#PH;5Tg}o7bCnu^vc$o1x&dljA#B=~mWO;yNYEOOTMTU<(nkGh}jP+Hil6`HlXZJGgFm|EUrVljW z*nGobm|x*6%OQ_sHBC8Q+Z`X0#?BgOMAMefwP55HrM*~e@=A_b*gj9D%sh`$e2N?+ zw|jVMF_nIS@1pEVG2RstLQKF!AoNFzbXu=%l09FMQj~#)Zs5>U+e3FcFM(D|N zb4a1Cd(Xe|nHy*S%?6>%Fpo$UjSAIYziN}{FSe!|n$E-TVi5HT!UOU>0Fp2U#PM)% zv-+hy{);is9Tt2m%TEIxit}c^kozdh%D=dFPXWJ4d2?7V>7~za#*?uZQeEGsYhfg$ z2W2RzEO7c$Mr6-9IU0y{I25vhWRhPa#we^J339g7%PEieBpk{%EE?{&*)G%PIe?`N zKZ0J$2&^XP%gL1OvTG`IdnG8X`QXD4wni03{&?&L9UW%S4mXYz^m+E7tr@d=4fZ_W zrI?tQK>%d`iC})8)bJr!xqB_W2x+y)nnMB;ss_UT1VBNP8@jd$@P-_+)Hi2*#vbBZ zr9@S(8KwL%;frrfdG?cck}$0V{9>?|>qu?Sn- zK?#_N{v9$$gN0DqcCki|8LEp&jMDc1{!WvUpMCqT+){sSro_vFqaZDmIcP9Hu0fZl z8V_%rZ_e`26Lq zra03mS0_5rYn$q9-mtd*M3N@m?S1O%4%CB;%h%$)IWlM#R|24Fy|geI&)Jz9+Z#w# zW0AG{u?3auw)(qJ#H`2QUkki;3U0}m`1p*{Qf@#EBn#rt&(Dzrt&VzSo>xZU4ktb1 z<6}4lQUtfB1_arayU19U3i~#=A&R918V>Yv;YyqQ9`J8EB6IX$c*;pFkGHJbsC4i& zx}F#EdP?O8q{Rcqn6lqp$DP|V89H2xZ_P)ET2*v*9&$2%)Y*-3zc&&Ghr}+}z_e^ydX)CqCy@QB!b&4PkPDNBG|7=S4*vK+okAe)2wp=V)-|f1+dof$r*pBcI6rwe$6y~6t0Z*~7P+=L*FwQ86Og~Sxp;Z3Gpi@p;Oo{47ZEAt zE&jR~X#Pmo!XhD+ibZa_g-h`<^0VsIov87*05xpu&==b{E4~C!Mb!EpX3`Jh0kRLH z2+r)121J{X7k6) zI$Baury(TVnv|_dDVu4OB*jt`|GtQa>PM^)7zZ$UDrmzg)yuZsw<3MFtn0qT#MLwC zU&q>%aGJZpCxgXu@L&8{u2#N7lWCzsN%EmC;j8v9ziiHCQM0}IO1x6bljr30g{Rtd z8k9LYm$boP%dK~4)aa;EgVsqloJ-m(#-CdKz~DH{C;RcSrw1~Zw{Z{1ofuqu(jkp| zAiBwiQr_)B-FB02f4#@I_AK7xpPjNMBh83yB?kCu5WbO20ivp8f zAOZ%VFruVd-w@|uSSp|IUy~ZJV*uAbf^OuY48h06`? z8Zc>0bsay`R`h0*_8LF?#~f>9k1P)17*Ag^H#589cU>Qgm`O_&QE7K(_5s`<|7B_K zanO~SbWW|jhE=4^ACmYMijASn1IUGx(o2VkRH=U&569ugJqO(5hILWvBbzhb$gAI@ z{`SkrNGMh-!afn?{+l;ab*gYW{wKV^@0YdwH%1w90pgJ-1QRJqff@j>7KSFam=>Ge z3Z1UX^deXZ~UH8t@QATS8e z?<>Kq=zI4hb3S}VF6tIBv6(H5233=50$2S0%eCYGM=k^OUml7JskIa$+FmjfVx}ek zWQeu!C+2o~iZb*pZ{EClXmm6T`Df(S$B&5kfgOHxImUyDz@oIo?${zI6<)(2ycclt zVVl-zGNcEBt8kY-@7uFq5Jn=_gIps1K?gs`1!&PFadp;}9&08Tx2LB9;>mN&PlL=y zkk1tWCseJ^wYBYa4u17VOuya$gdU7we=-)@U5kDG{NN$lTIf_N8yfVBuAB5a9gGbU z_*6Q1Q0z`;PmlR=|DN{k|2AE{dGjrr#*8SGBP1lg_y|CX9X|bNf5WX8gwF%bNJcYf(IOR!KY#`N9o?KF?eUZ&(-)F0 zH8{%0%ELidWq>mHzfIN8=uGbVae>x;fn9l)>IwZ!n3x1Ky&!6;*GLdFMR_8 z8j6zE2{kPSljw-wBVwn&Y*S0EJ7Tc+Z`xu?#|@*Q4cXGcZS-L|m7bm(ZyE(N)u)dE zc;sAbSYk4ZS0m(K)+cDo*)1M$68ux+b@LrZ05f{)>3-BGQ%C~?NiqePL(Dr$r+V1V zO?0Fk3kK8VSkH3TP9>ifRHlK`>ML}WCiUYg> zvT(Q#zIyg-Js$bsdwLm~u!4NPfF$hkuE%_b(#IUPy^X9i`}7ln7WX4a?_wz9i-vBH2djizc4w&YoT8CSo%6*(qcs){Ek$#gos=4AA#HNsTykn@X-LcI2{* zq~xQ5?M=!uip(KkUqT}yKG;Oych|JB5k|#Bv#Z~lmIs257;EIfzUu<0I>X?8`Eo^D zMYvxr43JewtROrR!~*$WPqq^gih-qPttCKOm0*4D(l)GrUiPZCShzZ`&m-EoTqi zGg(y-^4wNYnav|0@a~S#pet8l*_G|*@!vlb=zARyKt>TTrfR;zNO4CppvkX2&|YQ= z9KYkMqSPa8@st9K=3Z#4-^IgA2i*V?6Cxnyq~{G|k?-E__HyOLH$J+!N9&3|M!YMw z^&0*kw%!Ap>%Z><{z=KqEGx+fl|36)Rw+s-lw?!LC|N045h_$xwzOoHC}c&FP-G-q ziLweIJg?9HzVGLp=bYz0*M08$I@kXye!uVc^Lf8tGeUsWUSZ8xr*zKz4wMqeehxop zj>Zov3X<#cw6FFdeexz5Vqk-R3+E2f53<^o&2jJB%ihFRxi(Cy|I3B4eJ>2EW`_^n3S|78PrgABgUq`mr z;8^Rut<*s*-h)Qj5+JawdTQK9`*=III)^sT1he3i-bcs1DC_IrDA6*cFLzy>K*QD|1;29O({R`1u zSHDNkATK%-Qd~+vPL4Q{_2ZMvlA1#bOo`8L5nwd>l8y4gR$RSo{lG^-cHQWeCYTdE z1!U7DbntLlM6zptC1~apb+Q{m!2DwYdMe0dWUj1Sdgj_^VVLMFy%hvGWC87AqOSN1 z9@Xy$6pb|)+wq1)>nwZ-c$mtT=f03k^-*{5(~qXrMPy`TkO{1R=iRLAof<=emJM3_ zt8c&`h3APRvqQEj-R%WQ`=2YCNB-bP{68*Qzw-9oyMv@|3N(73?k^>*8TEiXB4;{~ zwISrQwqQwKAgiw18DU{kUxCLD;1#)l#suXycs9L%J?{|KO;x_>ds_ofE!;VdEGinb z{(p@@4yJi(ysYNfc=5{rX#t!qk$;oN8T*khZ&kh4B`r2f^rX`fVApr=I81f((o zOR*pn!JwhYK!Wsu%PR{G01rr{*M;^xF6$54pY7PA;F1Y8}j63vId3&6UV2V4*4g#JX^M$n~qAd;v&1F#EEC> z2#g2hLd3GIHt;sq$T=PmK*9q4qqI~yff8H?B$fJ$l#mcL^uRB6iM{!~W50eCjT67 z(7Jr*;Qjt#d;M>x4)g*|(+}(`ax-D36S(j4`Qq})J;ezzX-}T2ir;5S;ysf=JRD_c^;@|Wc!S$` zZ+KrjbG1pBHAz=c)v9~uLv!`v8*2hKGmiax&bZ=|y<2%@W^rQ%*PR2}svnOAZ#KMc zXsp4ohWG728*+^KyBddH znC`?WmVsmQ!pAopLOPKF7*bDk%@n3eAzv`Be2xd>g1CoZk+t5_KfyRIfG6Q!u{udO z#tDo_Ea1ty70^n8KyJZo9TE4HJgJM%oV#M?x`4y|gMX^5ZzKIWT&-8Z0v(*Wj-aS4 zo!y#{(~!EoqsuBFH$XZEeRr`zw1meM%-qoHMvVFS`S_5h2LQfw(v|ZNoE`WW6cHIY z?9&`?4Pw8nurOaP`k24^{M3{>UapXKw7l=m!@2^rgA!)`P1-SwTn`y%cAyk8JLHG`JMX6^?hQ3 z^wSAV)+WC9!w!(#=7AC+vA;=N-@3p3&RufJpb?-L05S{OYG(KbiU#+Yd@CRQ zU0PDokJ{EcOrq{+{XrwNCKg)Pf8ZTcgw0WbCv27_V^c>vHgsO;(N4$JFAq0TPXfRn zT?JLl-s3R*Hd;g>jWqdO`a9MAHW3rg`%2$;YbqU5{q6r0N`T|GsbeHtDhTyDfP179 z9B&64Oe6;rS1}pVq3a}fajeu9VraCt7g2QX48TgFdEXFV1*s7MK%;WUwV&s1=QVvJ z65s?$oGHWw{~xR6TCfY`89x${`x08qEfDP1LVivMO&R`5)O%!tjUv|rnPKwtrFEqS zAhRIFjfiQ3NtH%QDvu|Y)9w6uB3y<%-=5=!CdewTG!QpGPejZ2`&w?| z;5gtr1#93N@ZRL-N4#tm_7H4-TA*_apjf+vrns0!0)68b6U6TUDN)&a_Ts4h+S*6I zW)s*+Ob!0RKVI8YtgJCqW?%?u6MBHkCFPpnfkLfAnex1nqF9j>Wu;f(9U@VRFr4S* zZr;3^z@N6Zww8!J__G8fMuKwc&6_tZlT^@k0=V-3e6{VC-^P*<1k6i@FW`$L<_w&h z*qwtgzC%V@jU5UrEC*QYb1Ec38Sn!p;F!i~#O>oB%v>bC>u6OjuZ5CMuBzlemjOd# zpb7=Q*Bu8k7f=a?sWih!Esu}wOu6(3v11n~u&j|13KkjwnALHTpuX@0Oc6=^a#BELVhKS#@% z1ajUZhlg!RI2jIr3+C9t@Kuarp~RzB`Dvc>-TD_d|Hmo2=6{M%LU78SumlYa8-H+5Cug2)4blW3^7s)`CKeU7gs`8%J0CvrM^8Aw6&ojV~&62T+KiU07~ zU$YPG?d`T(x-Ok6^KQ+MH|rc)oS$^X+?P1?4LUi}(?mINqQdztBZ7<82t zrt}qPz2+HmspIva;_q;1>EE@*QbxDZ*ki-_x7)_z9<`D#0#2GEUdYl;Q1J@=11uv7fx;U^dA! zhSS#f2;M$P!ZkrG#50Znd(D{K*$9vRh5hPhufn|(udY@RbNe<&X5VB_spgeQVDvr^ z%x;&I6oH6QOC+|n58sZHkl%4+UtA+?0DB~HRK6blX}S;raYt)G$|1-QzH(B0W`@HX z{Bc>nE%W*9y~N;xdwDD98`-30>;{GqG{pV@>lTaGJQ`H&r%5bF4!1YV_Y%(-_cGX% z!&kgKJO-16fTBpd{-3k7Z1O)@@IPx<0yv&tDR6mvOW;ollu|8|C^>n1$mqeR);`ca z4MX)eb%A>|WlP01u4@!Gp1?5&;~sH~ZX5YJ_43$@EpLiJhp;Cfb}$abPoaAlZD5gP zpE&Ru>dW#j4}c8+c|h@`%_$>DLFt|7i}DRT@&^o4hf+?`o=YU@Hn%??QCrqRny0SX zDz<=Q=kmlc2zqplw>`3vb-CzFLbaABu>3r2RkZIkk+5rs*%s403*_`f<6fnwINM`E zz#KYg0~A-sZil#d*6UZLrO}9fmc{E`HB>s};n`^L^%3Wv(I2^ew$&Vz{A9c528~YiaqCxOL*}PU<9Y56xue#oE`bf0UTo+ zB@BXxQn(VcE){&i$4*xx4WSIwJ&8QcNVH>x^h=Pj<`z!x10OoD#?Vm)CngRf=kUpe za}%9CYdst6vpE;87D?E=jP7W;^|q>I**Sfys+-`cejVQo0lL7w(?N3X0oNyLC|N2z zw_M{tltCfs8@<6%ef}g8SdOOjUiz)S_)5swmi_l0m5bXx1wFgUuw1_FUc-Jp-d-szah(fO)VVSyuAi>8M{7Z2y1Z8`HOgj5uzKkS?`^=ZK7@lBV_~^n|gH)E2 zzhu#*7YrR$8z!IxOaa3VZKlAsrM9! zfP@vPXW}>8B!tI*?x@$cX3Pue?6&~@+*P!g ztm;ECU&b!E}1Y7Q`$TasKbikKedQ`0bDA_ z%^0Uzc54uXX2KU1>-p(f|C6~f{YI;f zIaT)86o2;KO|r?Xq1mgc<#IP89xtx0j(@1Dq+Aya6q`Vx^n_qWc6x?bjNcDY`4?@^ z+QhH;H@?$5-ymzG#@`di*c9B;>b8$VckNLsPAzSNwOv*L34T|u=*?f4e4ot3^*r(W zkj%~c_dUOQ&Nr*fBah2T@ukc>jJxemk4b&0!lQHHU9E^PO~5%f zf!ppeL;|>9%M^wr}Q6o^;9`(>LZdX8%U0 z`hq@cvF%6?g^H|qIP{wvCfSdoWpKg;+9boIf1~UWB8*}mFsUJhFF7po3VWhsN}N=K z<@RtIMYRo-praEQ2882?KEmgyd)~}6B}z{?Vt2F0&X=aOm5ug->w;%x%}zDLTarAL zh4IN%Ij-BG8PmNpu&$tKsw|xn8iJC zX3JsK+xw|RBYo@3b0Bg|kwk-{#%TonA(QZG_8E-T92^||Aen`Qe1J2MYKY_^F%Eh@ zmnDpB^gO$-AT+t~14PYly)>z(vGB8WZ7VSSubU6sth|0E${L^*L+Had7ok6b4-Le; zsfS5!7W`}&L&L6L*T7lnn%YgbIb^Q>^AK)uCLTWSP$+c5%)XPDaX(fX`8|D%HKSY` zFptxMVnmcb{&iup_p7Z0y71EF)Nh7|6Zs0_;tKFe87cwlByQFpw#c3D?Vq)YmE?Z; zz2xNx&TWMg_Qx+%QPAs|Yg7TfMDz$!9a?vv*11_{iKVZ1?p<~J{@Lm2RLw zjUP@qkXm|+q3|?-{zE`kr07B#(~GDA>Yv?nr?O=Mh|c(v1o9(C_Cvnvm`J1l3B*<< zM1Wygp%?j0;_P0a2~Wpj!e0@37UbK-dOX4>yK$oc+Pn~Fbf=Z>4&w7k3KMt|(k%#z ze%~kg(iQBzxkcwKzwo_S&R^vo6V<=!$9$gMH{qknn(ANiC-*=9A$nSvB*x#kL8EkueM`oi}Kv*Ft;ip={);&Skns-t)Wa8751|EpHUpP)$yr~uLo z1yDq!4rBZtsgq!%L0}_Up1c6W*Gi)>P4d@p;@R5SUCj^!bevlkiXg0gkrK&i(LP6m zsuV>w?oE(44$|40XvNgd87p?=SzxAx&5m`IeDsmoCkA-mG21-+d`mr8tf&5jNVsEn z@ilg>w5^*We02CXNvNxR!VZx{~)0W zZ)Y%Yj6P+UBVnDk{^@=pya(TWE)bxnr}r+@)vz0$U~YLUH5xmfb|z7DKsfrqTFnlE zYkqNnN%{b7mLi7B!KX`T`x(u#Ije$p+5(;L17l-5ytnksZT*Asiow-ilZ}b7MjFg% zYu7b%NeB3cFMK}s$aoJM9ik$nO;v5?&2gc+;%`6Pw>vH_j^S>!A9GPEhRImZlF8to z-(gx$?UgND8p*wa*1=>?;Da@O#aQe0+)iUf(St44XX(>jM@z0yItB)zM)+pWe)URN zGw+Mmo4*SSKTe_TCobm+-{VtpcHbu$DC`?I9?LvG^o}`y-V__<>icS!WWJZ!Z1$QN!@d;`!M-4c~>e zT!eWpFVC9LP~?!XZ4Xq!Rt+=1J@jeSr2jYpl`e9&Z&`HG4WubtIFjs9@5@NZ#^@9H zao6*ZU!QQEAE_%qh|7D-rU|(GQ~p!|iHnB=RTeX*B}E#mnM)(p7P*#)0B6IT5 z)%U9puj<9AZDSd$30;UEvyb_6wW68+vC`0nCeL#l*4qnhtaQe!n5gml@^;}G?N9PH z4i5DcOWb~PPLC?|{2j9{(qwKgYS-FLW2DCLNK&iNN@S$zzyC_jRjNu-pzhJGlW}#Y zwrE?2ovrPy5sXR0t8l@^uI`WGK_=V#8LzvJP?_z@G)(m!QT4=gIj5`f(Z1X5eml6` zl}+_KB_y^jFN57<%6+1e&9MlGLk6Zxg&mD*RLj$MpR2>%a7#2X+oxeyNpCp{$IO#M2jlHV z^SBJLOTU|x{$dcLa_rUvhNL@KEejzpbPcKh(8rl%Nt<=zX&q<=?^QZGd!^@Fu<$p` z0~97#0@@C}_dBK5jePb1L zh1rmeX6jmPxoM(kJ0@ks;I{bXot;00ZKw{ia7(vU4L6lSZizf2NsQElP1s#LH~Yf2 zOMlitsSbM&Q>gQanau!g920Y6hckP!q|s0%{Vw{{5x<0jA^u%%>JL(FRdC-az&@gB zYg*DfyNG*dFVYCNmqhBT(mJxq^}h0I?yo@GmwrW20}p&LGKfe9_G}55zXXjJA1)(v z8Pt0Svel~Jyjcg%zU0cPDpVLP`Bs_$J5tZv{&G81bHd>Z)sPWkuhKH@;*9`G+8S3w<7>jravt?v&R26(G~b#>SOQ z7t_?Oq+)Lf4_B=#Hq~3m5YRiqB^tc*Xa4Q6&{;j%i8NZ?1m3>^V~h@OqeBcKPrfyO zL*tXYt~YMq4Wga>Cq=kJ9tQK9%S6w}AC0WKP}WK*dUT_+(!73y2-B9^)I1tD){C|7 zRI-=s5zf|VwmQC22;RHQ#v`@`Z)dx%*~*REceh6;Y!~kkiPi0&u<&YlUTS>o(bQk} zl^~)!7G$MP{Ok+V zW-J4Lqk&ipN>p?)kTP3tC2BE~y`dp{iH@P})A^YfSp1-fI0 zU}y^-M8td&WPJEC107xKqnj_qUllu(7Nn^UdnZXy8u2_p?hFA1Zf&&4xuYq7D0j#O z?`OfGZG|(Jrul2kY_l{Y;KX1|`(p}k6X}({s607&?%-Y;d4ZzE$j|sdG4U#TJD*#% zy-wYP(e*%lF8=vv0)6mu$y`jVhB2Pvn9_$o5lqr3lEZN*-^Befgs+F-k9gZb95AP} zcEg*NkdT1sEx=S<@k_~ZbMqXN^GWS9UKcNhW@ZX)*rFVUuY!&w<--^z^(Q_BN}Edx6UV*e=eo+8l)NOC&S&O)?L)j_g`FCK3&swY zn#|uwDA%*vYOFj6*Eo5CzU9DC8AfUuv0B0PKg6_*I&J7jj(x8?byw0&NBV>y{d_@? zu4blMbGc$-rg_Ppg`V)On?7Hb#d+1c+Osr-kHFLL?rR|j8#Wp5TT{Wt4ynig&UQ$N zd-S}IbY^5&>=azGALy>rOW+!O=aZ1gFkr`b(~66b;z&RaG?(1(?3~jYK7cdJ8r0k< zq8E9T&M_kKGBFz^%3(OH%2rpFYP)P8%_fpLa|dO3UN&uE5I{Mc0{PL?h5wGxaZ-Og=te@E8`T@LS(W(V%lWx4D6*eYZmV{ry{F^hI z_U_%28Vr4;Oef}F(0!DEG72NB^R|utjr^64~SJzrtc- zqjzMd){r_}_?I=fao-8#Cv`hfkh9M=jN_4R-4@dfmIbKBOf0hc)UFuR-@ z!I9Jcjsa2p;M8v^?N-H2%_n6qiDa!!KvBZHy5aKA#c;<&`p%1Y&)-vo@=D~# zQAA|E7pBfLm%N5*S5)ud9we|_<`-I@*z-#?l_d^YG9~_;oJN!FpkPn%rEZgx`;?Y~ zew{Z&XTI8Q*9CMJ`z52gjhn5?b<%z0=(}7UkXjG60Gg=lY~FR^X+J04Bdiy5|LV z2KZC&3PX-{p;mh5>I2;PYX}UyFO!9HLcLrhXys+#F9*}0P5PgR(SxW6p%kmG*1)EL z(7l@GW@gv2X__CuJ6CGiTFrB))WO(*#zY-=9X|ebOlgcYq;9Aau@=Pr0&Lnt^{yE2 z(uVh2GGWXChF%T9rT3QeZ~&^~5+JWIM2rkb1h!2|^i3?>vf6H7!+)NaA{{gnD#!Rb z&g80&%wvOf3Rx^wRI+c=Psg@xU@JT1S^HgY&1DIDpzL-NG6u>nwM) zr;HAsxNiA)U9N0tNsxy0Lx=oJ-#&ur%XpGwyu*{x@TZ*N7sU*|jZ?1Myo32y=KIzy znn-6nIAzrBqo`f?^{a1O#Qo6ZLwZ;JqV#be`bM0l;zyM+Oq2wr$8;iD!4z%7rHL z-H}-fKl1ug^A8a@t@bE8LZf`HMJW~b#;VmWPF0)m4Us}QgBpvjpR=)D;R4q(Oy5Ix)7`v8ve$*q@)B7 zv7nqBJFX0LE~}A}Z2aXU(Fna!`&L($(R*(*H>?NVZ&u_m8eRDiuM&beX#fg&5}!)3 zL?Rq5BO~$0Te`a51c!?X0y>a25UJ9T@NW_f3!H^QfiyF7*6PO57EFMUfD+9m88A@7 zaA~f~Axp)_$0r?G#UKO;U5sQpV%Wv;L4G;gH9@@Zng_?m-bEB{%s~4nYJ-{`w*hJ7 zHy@C=RhGkc780tCgiAg91ZL9O%pPp9bqw+yJ)ofFB_FuvlFcn%4z9z`EA#YdWYd2f zdA98mwj03Ktx&`gN_@niiaFPjYJJf6qnu&;tTwmP^vO274g9t{gdSSVuqWyG89Zd|Tur zMSd%()dWo-=aXa42vI27n^|n!jg8x0f2eedev}L9YEb)DbTk!!M|sB<3jQ1G(tHBO zpTM8Anz#;&UcrADr}dkIe3>fVw+{$A_Ll7?sizp{LSN*-Hpduh`iJS|*cwo|7$&T7 zL!l5eI5w7@O#k>a*>65Zpa#z+D$M^C`)pDbJ?{&ghU6SaR+3#$dp08ApqbsDIt?0* zxcPjnexg4eKL`Q12u}~eFiTKq@%|l^^Ow<(E`z|H4@*+0ABT;KBpZVDNgLvR;{Wx@ zIN>7}$$X&)s(G068o%;Z91Vzl@_C`%8-wYap=?#qP&PY!GPO zVgkcUk`?e1kT3$ssDq(Mj;{Ey8LEUoccb|-F<5Ovn20t&yL>n@;60;9h@%Fk*Q2ylF#k`GPjNMO)Mbw?O({}>Ne>KHW23@B0VDp>m9p|8XMG=&%gD?Fzp&y6y$c0-TsQH~H?oHN}U(puNShA5}# z+8c=ofYg7k?tcA@D~W>+cMAF> zYQ3u=KM00GAbExl79<>h+Gb`6mMZkioIE@yh7@<+Ip|J8dOdzs?BktKH}|`8_u+p3 z(N_xDB=!4}ofxL3@U^^Care~mYY|1b zb?rL&I%C`kP|x6X*#~|Bu~xz}N0M-QUBWi;_pgmrvgUcsW(EcZPqtzV($izOf)|y8 zL+%-58E$|4UgH?EN76K3y*}){eq!yM1Qv4q3$LAEW9Mqg zQb*|0CBPN(`bob+%sFvxrXyGfSPv4Kh#HVY@Ft%}7YkAIqWC))K?S$gI^!`eI#7z> zfGC`xM6pYipL18u!jWHQH0t6WELA=GxQ$tYG?+`$MBBM69_9@t zGdPxAnoOg;B3&9*Z**_JqNL0b7QN@{EQxrX6;ono!(Aq#6YK$PoT_(~Eg--n?b@f_PJX z{NhByPwFY(=g*<#4cdL**zH7LI_!5U*wYNKECO+vaU&oXW>W2!-UNL}p!d3j41Pbz zOflNV)QWXO7Zz>9#ZwD`TP6G`@D|Ja>PdQzq&qQccHik9m76%h1`a7@8b95hP(}gM zAxR2|HZF4|8JVMb1J_0nP@<5Y6+LfurXn|8ovmB9<~<)&J$bNk?=Lpmyb|9=b&na+#1|hB=%=djPq+ zGP_%ql3JKq?&>^loS`DgV0tlj7>}xO7*6zYDK*sJaD6>e*M;-CNbdsnD(a+j=U zy512}6O#*9zr}k#@*(*r;-@R_{X^TH8fl_hB-F(|pFC?{e0DeUmc0lheZp?(3TZq6s|tgoqNDlI~8 zjJNkLqVz{aE#L|$9r3+Hf7f((mx00k;e5P#Gd-ls|Npdh!VRi!t{&%6jd&qGOGkd^ znKVouf&kQ;Q`Pn#JGRj=G4#Y!9lY1Dd+p$=dt1FB`?-Qqd3kx2G~;AuGy6xDZXLn@ zm%UE)zJn@T!Ckvd9ZqUat_`T`92*=A#5Mxrc6yFDPKp}OhP~W%liX=9dvJBTCSw?x z8tXRAwlpIB&4@h!oOo#L0jy}qT;J1RswEhG!^;e`;-nW4M<@TjcI|~u#m4fR*tI>o zVIbR?)%RYSv3dLxCT%D&H1K=>;Qb#Pu~4TH?Y38i7gWv)8LNSP8+yV z+c)vRQq3;aj&}>ht^gcW_(K&=WCJPc%_7><+2St%{bpj!-A9}?G&BwbN)}5E926vO z?Xn7CW#xMgIq*dXHgB7I>8>&bFIa=86BahhF9^-u_WFf$m*LP#MX|E?6a{;z28N|6 z6eJ`*i$dEinYaSf3XaE-uM`QOSd~IS8Jc~;k-P~C0r*g*b&EcllM@POZ8`+-_9Hp* ziY`3Bj@`j#Ti8aG=DU=s+%uq4_$;f76LnV=&7p_6f0;)@Xr!eMm9H@jHhem@yPdts z^5z8&>viWh0#RT8(`r2(&cO_?z?9_8P7%I=jS{*-oz<+eNWJMW)jUPo0R~~N`nb>s zxe$VAHp#asA+Zd31$6+XpjtoaV7Kt4szs_V-f188q*GqGPK6XoQ1W8wlwQ**z58j$ zPb?SU15gVT2rwNx=Y1h1Lla{Yli$5hgNM(o{4iDgD!kt4*^|wDd?aBZxn(tTM5Iwa{@5R>(bRskJ zxz9w;Zi|on$UegaMZg^n?J5{j@W|9-BbtW3F3JBK-pjI6s=`_ST_Fi;JlnHsT0%0?n*~){f;9du~iVWa!Q)_pHfSoaR>PSFm{dy zftrl20d;cc08}H9aI3#2)Ow`g3Snr?S^gDazHQ%-IHb&M=>O{}5@EUSKksn&^wb9U zz5sWcD=tTE2Y&e8_|W-Eiw&QA2*PXv(5L`X$YMUIuRrqRb{_1mczk7jw*b>-Evq-{ zRQv}?bBtpc>RD#k)~`u)XvAk6u37{%5Z^b9cEG3i)p6n81t?jRc395jWnlYO+b_SM za`EXVWWu8lb71$qC$7J-#&lr~`;M~yS7gW0!|yPx`ySfKXvLK-ht%lbo)^FQZGZXl zWz4YIV*lK{!jFi@j~^SDnQi|&pn94sRG{vHKffgQ`gLj3EOMe{{^+R1end_L_sy~$ zC%X)|K@Mz4v$wcq_~M?C6P|u82+;_eMvsuPo zDS1|lxcXPb?gSGlZW^*7!3nApyLZe6`a>dFgzEO_i4zA?q!??`0A?bB>?)Sb@G`If zH3;`PnrX9~>|;e^@jq{2vmM}vvbBcbiLr2|q@*a@h>q(Xx3KuY(Dd!{dUWWs{8GGKj+vMY z;p%{wk!`bH0)zHZR1xi>L?H#TD##tO2oGg|AoxbD@Wb!vy=9&!>kmDabN4gd`l1eV zaG&0DfF^W^nmkf+9M(|_j2M|qdF1FhwLUdh95;?VaZRo3k3yAN+-zFX;< zHW^Gjz>)xLYWS-X-py9s&Dp=gC%%6d^=>|9Y}^mZ8G$fDtJ*p`iN>lRME>EpsNHFV zj0b2~xs<)7acF9MhWjGrsD8^!$Gq-BQF6N?6x8kCU-v@S|LNJ7Ve8}?)NadE#JoJ%++=Z}(omZpx z6@GPM#Ds`p3WB<-aFOC<3&hwv`n!pyMuCVqAi~f&FM8hc1?%G{FzRO7l>>|b)^^V_ zsOG(Y)>i&=`89&?IA<*_V)puXsz>@5i$1%?UTAQgPmgCzQ?8&!N2UP!KYV`C;e7j5 zJXr45O*fxc(!O42-qX`V%Ctz4I*AA7h)GcR)Z$S7AUFgm-FDnEj&HZ|V>;l2=sqB^*(pNSSM5BnjV~EK4y5bG3NX9j!J391Zm5z zXJ=wR_%2TDhRMu=Kih?cQxLQQP&Tr*_5Q{tfVf3MK)RlKexgZE1AePrD&A>OlbTNAHL?X@W0ZPKkH1#YV zBkH?xn_k~>35&4p^DmeAtYSZ(Q4>0J@Sq#I7l>Tq_3FxA(A!UcZ>c(G^hwuDGe35B z&Lxzj5!}7^%Bnw+c>ovVLVOn}dsZ&4FoX%-^ZI()wu{oV*96%d7~(^L!}4IbuEqZk zD5?61Qn7h<1-oO-jgEFpH;#lWJU0H8t{GN$XsC_;-Py)6aO$xT5U{nw8C;1&XOA58 zXxw&{mLqaM?a4JiQbjoYM~Y?wtya3Wlm&=n`~tF~!@e775RGXSD~+lt#hQUF^_vs+ zrqe0m6Cj7RsKT^s^&pK!s1?GyBk-$}_u|&U`+!VYFQvZ%EQ8}1&An53@4X$+NSusB zT<+vMpXLjU6~9A(9ZOSxS5QJCN;%)OIl0>dM*G5McphnUVg2SSJdCvdvEh>L_)kY* z%izEk?1-R8I&SfuJ8STy;*!@blLx>+nj(snH$hwBZDD~&$=2W_PI<8V+)^hOE22{&(;++)ElhC^EL^{m}x2UhwKn=cW&=dA&7a`!`o zmGCrGD$C*Qh8`+cmxm2L>vBcs-vfP6)-Nle=DT+DbbBRQ-@t#54vEx z0lgUYZnIm>V#%IpXSD~+M%_>5{2zZ+!fQ+o3aIT>IWqO&d}h3x`sE7lyQE((b~#&S zXXgoS$KF|h2^Q;FG}kt&C>kZFTXzo#6VkF`b;U2X`woa~ka7*d>`P~W)0^$z`&gYH zP;o)kT(e8u+2<#|Clo^qWi1cMtVo@?4c^@Tsezg@hxPw?*DYUHTad8+8U8QlpuGjd z?=D~Wz4Nzj*oC?TFqnCA`_9{|PohRwkz9Jqj$BnW$kIrj-7fE`t>pj5oM?r^p2SgMm3`!J&d*L}q`TlmvyVX_mGs@S)Fz_` zounxf8MN0DmP~7etytNw{m^6VwX&8@4zF4xvT0|6mX@@aJA3m!hIs#tw*(_U>al&j zR@Z3ucIk$T(T)~_BwN*7za8l^>dU<4)Ti}Vx_HXO@eON1+D6*7fjwow&y81tSn>at zkO=z7n724h{<96{W!|i(FHNsQLnR5m40~gZBmD2;qBS-avMJ+buq~|pti~E~{W+ns zkhUnhJxH8FhGINSlmI}OKO7Tros6`9gZYSN{qUk=M{e?)XPKDkbQ3IeMD%mLj_X&C z2lt0w^BQg0=avkA-ptpYV1evvg(>XByoAkPcxnjg)3i;_$rl@l2NcHn7Hm>IFFhF` zqZ9Hh!1M-FU*L<==i&>tlTD4LvM2v64)F_PZFG1u2|`ao1yEZ;g@*-8ye6_F$pOg6 zraXKn@FZ9d1#e=3Xeva|MHbr(r7YO85^J6 zex0q2IqrZkOSl%kNIqoi2f+wILf3;##lPLr-|P4MfN(VqGnP%8LIFn*dW3j;wD+>f~vU| zn#QevH&mb9iGgP$d_i0)zVhe**zWlL^JNQPU*8NI$$Ng?a4Kp0Ol9BtAgK#NPvl94 z{E=yGZ7qT6p3)THi$@Y)1UrJ^ZU}T5n$7C|i#rBseF zhgE%M)&eo3sgVYgsfCCdBq7q^0>v~->RkXw!vs-{B6EVY;wVmsZBF6i#&04X?b&z& zh}wXBTadn{q5J_VqYa44|a2~+#!=aD=)_J)(i>JqK>pu%+dF4;cyu+_5#It(B6>>X{pAw8~ z^yzgohrE9h}pdwzVNT7_FBV=o3K)J2e%;I8y$~6J0TI|jJ-be*qHcW39VN#`}P zn~L=?H2i(Nx}?@yfl)SLmz8G+r6#35v{#_ZFXfIcsDB*bED>*nKSs7+9I8HBem1Vl zF#coTdH0JK>yT7K40t%YVf9wVatj!5aMo$Dj23XzG{Wuxi>3o$$Ek?t#Xdx@5KA+#jXfLL$?1J?j;u|jAkA(e5MPh-@u!MlTc6cOF0 z&{JXI3`7RcsKUgW#9A+N<}Snp4Plhe64&^3!-e|i#hmGecveGfBRlTQ+}MAV1Ac@* zpP62$mTc)1$9ztXQ{DIL9F-%tUoZ4Nsqi1igQpryUciZ`q2`kH zGDZ8HB5(=KfU@Y5DZ>DH&^C91YX@#(gfG@>+oXL4r7pHC8M= z;XN8GBUf!jm@(<;Cr&ZF!{Pkq>`OJBAK1t~THc~=vh4tk9Hyt|f|8%ySyjr)ZwtTF z?#VT)Vx~<0VIFmrjna&S8HjuZ`v}TA0yUeZ3vI>Q67j*_N3oavfY1aDSK^iyECiQi`( z#fGPl#aRh$1`8+WHQbf`06L|5@lF)pmkQzSee-|xdy&(u2 zKR|~eo1~%uv>M{hHglErPxuzn%g^Mq#c49g?*o!>b%2y1aJBK!91R7sA#$XH+LwW? zfZBmB;&bMsWfjgjb3k?nR3;I49&oN&P!a$E90^J%=1@yHfVmRqny~LT4gVGxMGkcC z<;?9Bk1$yJE)v@&qM&f+(sv7+>lto{tu6mf09Kd>gP_Qb{2&w3%{RYLUwracmcrs< z4EWZ_&ASbyt7Sl@5>3OxuW#S7JER-89J+4^7nokEDjzPYPiB*-RY3VpH3;!3L_si2 zjB5`dEfRTK1oO#%@uD7F^95U3Q)Ol4DNLx=(2o$Q%f6$x_caf8vtU!hQI-xI4SiIk zvO8)Iw*q9tWUeBm>jdtHzm#Sq?d)~Hq2z|g0Y&8d@bR_q+G!o-AQ81-F#GYR6IurQ z-?~X{BaFc0RL^2bUoT&u6Ug%_{zC1(PaPMug(9;~R8ueB*B54~;-fFoyn6Na-Wh|d zneVCZ?cXpb^CCJ}`F+}+N>c!IKKFDaE)MWvg0(p^eqXS3@JPwdFTlout)!_=N!%TgR^E zv%k0nw{LG~8{`4cvN@oxq|w3)uw&a3lbha&h4DipCr$Ru;|~kYwYRfNht(4bui-^f z+qg&P5wfyoPJQ8>u@ktkrS4&qPn&k1?U;fx@(lZ-G?r9U{QS_0nZz*DW5V4hl&lD- z8pb0XPwP^iPe5MQZgpOp!vK(>G;a0p5HpE=t1oH1pO#knP_=N|c&q7^EB%#Jnf0=$ z770NBds9}S0}@1_!A2j9Qs??Jhnz=inwpv{my|@hYE-Yi-@X2PcY$h2ok#K4!hBD` zwm1}lWI&H8(%9iHsyR#eK8P#mdAv%+Prc;8#3jPlVF*JX;}HUuTMS7?U?{`~2=tBt zEnMt2o(<3*qbZdUOlEB4D{*4HJ!6d~Y;BLXC{P>(o=FJ+)5vxEmNoV~(RmHbcu~qz zR83k@2k!@R-m|2Zd1nySuE#bwwRU!EjmBe!Z-&W?JYFGgp%N>aJ_AON_rfI%c{lyH z9VzK+I4Jy%BG-f2;tOLfC~g~@ElTKJ1v7sr*|H2_I{&QYl(!~l{p6E5EGpY9S*fKu zoPJ_UY-xyh3fm-c;?^W?mYhawGNuH&Me%{`%KhXI7Z@*A^J>!71-&3k%H?dR8K@GeI%fcB5}J%|G?=2uw`Izhyn#iHUrjKJQU0XmPAn@NkhZo zl4N}DE_6}AJXJ`Sn#V_i90BkR|BGzuPdfQRW5m*m ziw2-XHU54Qumi&{vhsPs@oMAeltu*rCDFj?vs(jt?`hQK{uaUA%1-0#4Wthg{QkfENq51OUP(n0=1p!-B=2EANA z0NT4n7F~-3xR*Mq;#WqJ-=Mf7UD%#Bj?xd0KM7||FD(4%coLZq{Toa}E~uepfW+A1 z0E`hXn8uvAM|#-4*%JvEOr7vdX(oHX*4JTMx;;G#YlH2{iU#%-FbfYf`=IJqHg@oLs%Dy92AHUX4E0b!h~nm<(#{S!wzvl z*`Mx$QhzL$-~rh#)??Dp40Rzmbj(wb(zQju#-+F`oUIve=J!3P1CDb6$C6%Hk_MVC=8m0-PGXzFwTPo= zddi+Fl&d37+)U#`I@UHKxfv1Uf!jB6zVc8E47)vxJ8t?L+~V6 zeEBYNd*FY=D!pceoD2Rj#W0Gjw z`8xAR_NX>1mLfDc6ZIFCEBQ0L(FcMNUrK2a?kZS|&kt!ZTypk|XN&pdUoZal^S1VC;3|+i!$at5)juKkJsHa3|Bx54!MA z?e@rpHjLB!LAK{k;|=OIn}2?KaPvmTaZuDyF%-BD>EK7Xre#l@d0?DHgC>ZwG58oR z9z5$Hf{9$)bIb_@E`eHze*wP&;34Rtm=I8-Wow)DVF4Mf30Vq_Y-DJUu9_8mg%~UR z@#|*IxI?S(DtWKM(w+{0V-L03xl?r9^JbH~KHsX+ekf5C{+JOFK{w#f6#}}4Tm)!s zpB}eC|3_f@tDcuv&?FD-nJ1$>p{?ksIut_-LPa(`GCugs3DtZ0ACt-7wfi*m`atDK zH01$Z-PY~nSS#_d)BnRDMWbn0Iv<9q7{>sfynT0zI!>NcGC6(9J?b)EAz*a%K(IV- zJjrvlw&DsE@0dvH96{rraT@A1aVjAPlIYM`P~3pWaa2zbfA)IJ^f;kEnIYX>2LJxr zKUHuC+m8Us0cRY9PjU#NgfcJrIaSUX+Y0=M&0wAVGp0l!wc~ER3YDpnDX)qHC+l1pg8iD|V7{!2a ztf!EmNd!84h~R0>2JA}eRLI|qQ4K<~nY-sjFT%nGod9|0u~yLYOpzR9JdUw_z=(wx zV2Axp+II-2f!j?mOO$g?r2TI$VoI8ScCCQ$@!3gbYD^N zE)VpxCzYv50&*fIT5OWpLfg}#kg(M|uj7LL-0+kcXh`gjCx~4aY<`Dt^!MUL_4B_X zxB1w5p5(3B@Fm{ZHjPVSAdGqY=}z_6@^QPt36>g*I$NLX-;rWP9UG{7`&){wN}L%! z1$Yc?S*o~;y~7MQTgkSjcm)1<`skZ^EjvdVn@89H{azePaQZnVn>MqthDz-@J8g#& zATBxfHzx{aj=T}{QZ;G3wKu|rzUNx`cB_0M)LKB^z@Yo~I|s+L#*2~c3h+{A{RZ)# zsbfZ(np9u0dlXtR5bGehqoDy~HUEE@dJkx>`~H8NWJUvJCz91L6A~&TLRLj0qp~ZB z63X5qh0JUzm91e!WJE?}Mpls#A{E8|@w)Ec_niMZ_qoq?U1faU@7H)fAJ4~VVcN9^ z*|8~#o{WMI!q5?oybX1`O4)a%LjC7QDXzOS)6;uwo;=eYV2Gij0MD5*pvz4qVSXg&rYtYn8&O-QvUdh*NY5GvQt}r<= zNrUV&^#y`i)ZwT^i3tek$l8pt4HcIQz_SQz)dQ$o&l``id=y|C6&WJR3!Y2$#GaP=Z#B z;oO76FA+Bq*FW&h0GRK8G_wjKJF&tAksMZUCyHe#!?(!71_oS1L0gg7m>3eKr~AlI z#l2j{VibqZO{Q{eV7`F`Aj471l&MnmmJDd`YTI=5SOYfkn(b_q20tb_c)xSs>&*^t zWVWI3N0&4ob|E{A=LJ18*srY%b+lCr4iAMHKk>Of-_7tThUy3?Zy$OA?)UfNo(0ct?p(sO2#Z$;Zub?8*qzW1T9f1uK{-^LTWy6!yH zWt1VoMv@n!*?f{2hi)bnDcoNDl)CT0TzAFYU}k|GY)m`qR}9DHrM?#iDO=Ed36Ig@ z|DM6_6!!H`<5I^Sh>HPmE!`QC|8bb|*ilO6dB%aZ9G#|2Z4N`(TAM-VXx&i`={hF^ zf#fGf>;aUWE@F|Ge}CQ*dQAF?b;|qrWa{5VonIA-5hd~C$55p#4Gm3~M!+bJ`8(By zcr;F^`~a;*3$Q$b;sPBp83RNrE(clrY3b+yLjKPW=r+z&pW%wWf6Z96B-)5u(Sse9 zt4F~_z>=olt8?PS_^v;{XK%0NcHgMK>4!77e7=qgJy|_2$2-Z%Oo-jWi^D<$Ln_jN z#79+#eL6b;=RkLcjdM^Wk|7C2g1uh1ORnk0SV-oHp8+AVp=kn#5@-ijgHD$*;_BuL z*GUhrOq=JXr~9y9HxAn+YE{7jOZ#B-3w($+$95smXq2ls^&`U&!1Pg{p`9eK46b!Q zw7Zh2fJ^vWr4zD=7bEIzs8--ujU$pF;3Mibayj4l`@3N9Rby)_+a9h14t?wdIC<5A z+oACn3Wzt2jltGCreImMUD4xM-;rCl6!Vf%Pkdu95)MJT$kxnY?>Y7K`Hk_sO)!^8 z%OZmq9P-35dk6!Wa{3F;o;xB`+1y5`>a{wiLP1Wy;EF}EDP|Q`Kd-Ia2GqP>RS%k# z4hdcVfPlL)A26*MluQ#ANUIEXzXhP_=1MlEt`?|Y#-114I@R!k3kV6m`NAZ{kiFJr zXjn1wzti+3)AZEIlW8d16!PAK6G&frVIK}PvP;pEP0!3gj|?~(6GE4}B9A}X!TQ_e zVali^pd`QqaNWTMzgxQdUL*1}X+F3bzu2zj(4Qq7a(z4e83>t3I-<9yXF|Z`?tjC$ zF9U4T0_U_9vKO^g*r#T*^hIWSDd(otG1LJOxf+s!V~Hb6kDwZW*~&3B;C7mqe8eb- ztJr%*A&PRvm|b#m#t+Z2-IQ_e9xiqEG`pJJP)PAc&1uF}7Un1z-`{~d6H1JuZ7)bY zzR;)GeQ*(z*i124pA(0K0_)c8gQaIjznfgHpvL3(^er9cXghlV;sgGu&8?P8X5#11 zhry!(-Ab5bzVtME`=@!n>s-etJ{8Wg>=$9Xe(-p-_6qy{-t5vZ@~t+E6;e4H^VMfq zXg2Wq(-jF{ZrD*LXA|*|r{vA*Ge1tzwh4Oe^x9-CP6oXLjgJ22s|srLkK4bj6Qxh6JZo=-wqxtDSW! zd-BrTYc~oTS@H32Q;FJm+{AVKSG|09{6PGGu~BDvZ|lPJ=!gy$VM~0xbL*e&FMQVd zmkED$%!t2Fp-mW{P9OWo?W#Q z%fS}4L0gj69b|+$Lcm`Jcn|o79}0N3ZQF+Br-Ghjy(9IgdCW0^^bAR8Q>hIWF@y*A zBOf>tXgot0aIH^mJkw_O5cYd2loA{3F~XQsv7lbReh4+E4XlZSm4SMSBP8!p(HfE= z?$RCOOSUR?-LA$^0)TyKY5u8q?broN*Z=HO=6$R-nK^XhPH)V z7!+6bYXV}}0Ffed{7v9j#g_)oSSR*bAqt5eX!Q=;5`g%S&8HmRtNK+oZmOPre0#sl zyy~c}^H5brJC)u4aRDeH{R&yQjdq%5XH72|@ZutZ50|_rJQQI@rh4!lg|-rq^W>?d z>UZxLFwRp&FSDp)NM_6pp`XgGZ-O&D_d%gdp2l)R@CFEr4@Zf76OL>QB4W=f5dk6i z;=Pr)OwG5b;qMSOEHpS{T3Y{r({fv%L*7k%bS}P;p3)D#y20B(IDF)@n_n%5XhCvu zMN$mMI{CCCjFzh(yH7B}^k#U%$bRbJ0-)S#_afYys0As#Y@~~BAG|S_n$yUyHl7fb zWZw3GjxZz1ypbq{`%M5fVOWR{=TfIQ_eqe`>bP*oNKXKUF{1#lVExeiavq2>Nn{)z zwrKliXlnZOR}zY+)A=_9OsGD?_9|n>f$pmZmwW3&+k___sIW55Z)68MgL)Tdd3ibN zwFnHkFcIP?F&%PSx}TDgQoSmkEfZc+vOn1M*6+Er7L|0qxFFj~897hU)EFXIc|UcYO$0z4!kE%pX!}DMPqMdF7T1@RB;_&xlg5? z{x>=q+B?A;8oW0=0Yf47I)#b0t%kjYFnzo;#E-sY4V5K_s)RlpKm34bh{p*d?hx6 zu8k$yFh4(ks6mphf-yuSzfLFWYsV28)z3e+8d<4(7r_5ZzJ02%~4)Z_@N7}DVi^aYEUU$D0i1=4ASnQjC8iBJX0 zP0fAdl7zE$j6t&&z8W0~Kn_BD6Ng$W*`?>(BL`?ub5;TGNE^3c9EKl?YneFbki>H` z;6qoI&Yk`L#N$A)nD*_i1)1YUGA#lrlSIFR5u5q+(9Ojv)b+#=0(D^U_UnCD+3;)a zYB6=h+E9_OXY00Xi`_!lUg}cq7*C_HCA>GFObt$=;GH!;IMhEeYHsz!@$vtX`6#_I zwu+XDE~8r`#&ZzqM#-xDPMWKe-Q_**zf3Y^;q^BaMvuJ!n2faCWRM0$7ZcFaV*<=Z z#>R(16z}M`XLS$jS8mDwDF+88rC<;`3GRqSSG#ohWJ-Dc1uPbO-I3A*CI0S|jQ40Y8~iqw zIpTv&^c3v0?uEt=DY`5Di8s3>`GPhWzIAzn#F6W)!hbthIlGM zpykYO*xMb5t!Qn+s`^dV6K!z9d0m_5_Xfm3V$KX=p>j?(F*Z)aJwt%Ac-FD9dWjch zWkjbAY`CkygxD!YMAV^!2-@3T%H(kmMjf{up`~f?)aiGszka*z^bMlZ!GxW4w!XDB zau0Z|v;ZcyjeyS1r)FRQhC-bFlv%>#0nN#fOVcb~%SfWf%&0G-INKE7!KcM!CfkM89r7OQ`vna)_D^;ef zqwdR+@66@Zd6|Ybe;+Ipe?hX58=Mj@{Wl_t>*J&W*lPWBqLE zVc+~~-}EV}pu9X0lE+TGFTsE2us(=6y4z0+ew{FXF@Kgen??!Zmx73=;k`ClkvN#6 zCU)|9*7Q}mYR-N8RCw+UbSaK=ly`V+g)_z8-Qutk?X$08y+Zjy-i9;xnQv1 zznNC1DjN(NL9Q)$j}J**^&GXAeqnYDKN&BK=ny_)WbIC*9O!E(Z6exrukDuF2!-;K z43;wZqVW8aMul6^Z>63zP~m>x`BJ>*XRoj23t2sd!AK3kU3~2GT=n)Q-~nuVgue_8 z?GQbw%O7=RndCf<$yOIzB=M5E;>3wS%`7amt+U5P`<=k*u&AaJ=Ro<(4|5Qde*z^jnuVrY-R^=^&lwyY^Vnd0#yxMlXp)JN8YY|?qPtVwi}lt{uP z0^sC4E$AHCA$Z^b8%9jyJ=_79tm>P)fb~J5iX$9{xVT8nHCh{?GYQ@tEFMwDB?k9pbm|(JK7;FVtM+se@5KOGRUoA5ScoKY~>swl3wru3HfBd{ly=p z{(*tuFpQw9sm%`I13Zap#7j#s*Xh(ADLt0;Y%jcDp9shq%P8@@?@Qsevjfo-1hBZJxI zeQ|pNG;{KkE5kb)0=Styj!~ycNVj~c%MYY=m}9>n7?mYuaGX7u2A5r@_WH{xmKwva zqG#u>P~_VQQ_LW=Em5>ng!g@aAGs0FV4UGxEJ(EdC71pv9?@GyE{woly)@laP`3yr z5Dc>`K!<(%o=_anJW+NvpD!dNWDZ3Gzn~xu;66WKjbydf#3~JiHeaysyagP7@KqMk?=EDbO069s{t**lMuN?{_eR*t~1A8hT zy*Jv{H;dbh(uVtSz~g69`R8u!tg5B9vCRZKrbW3_2<; z4_+%-dDpYhxIN=Y)XMVE!PC?B>|WK;V>nct9FC$dpGW!?gZy<$?a#=AqsK4R1D+U6 zH_h{(5>||>4lHa4ww7kzL*RP=BM1LGjop}@)QM1HStk>=Ux%dz%E78%z=)T%MJ3F7J0p2G9$21u62~`dlKRtDC z#b3l2#_a{Rpnm%2yvfC%pSRS9Sn6F`uy=e8W7a2^TL!*$e4lEp7v;EX4@IXkRA03Y zd(7q~7co;%w~N{2?74dR`z^n_L|7$U-*372jb>NpZz|)Uj8-eQ@9In%bE|D9wPsw}&ci=jE&AV0FQsm$?c8^u08wsY-`vf&OrMpy`RWVK7;<&*V~-e=W$5+$ve$y3NXWL!0Rs#YY(>sHDK*Jm#EamRlfX=)BPp(*1E07_h3H|*dX`^;JJMSfJS~fmaPS} zL_Vs~6qlSH1IE)^0W$g)Qeq0stqENpE@d`SBtL;TQr+TjF_S(M#6z>b@8yUn^zhW+TV`qQ3KZiXT@?@QCig+^K@%chz2@d+n z%-jEMhon0mo)?<`bZ*bE6f`ex-^X~`)bzbmA!P!c3VIMS)I=wf^lvWw3o+dQ5IHwL zUyZ>ub+R;|a#Eb2N}>-|@xee6^87&7_;Q#^)Cc7It}C87d-JBe(2;}ajIow7#m8VW zca1wrYmp7xCeOGoqUk(%83NFD1r;5V*mwgKqUGpY`LN!(0VT#>cl;}lNoS>}`(SV< zgba6`4kBo>MV>Gw6#1f#5u$yURm3AG1ZCaA4o_6pM?`3AYpY^*g%2+Kul3<)7$>-V zx5emhc+YV?)@SElN1)h)DhvMuRy_)|2YS^V@!rc0#+NSbvrYu{HM7AERi4nuH5^Xl zek>TBUSeVw_X<0$wjtpuhx_mw>XsV=K*NOI$fJG`y35`sy9#|)bG#O5bLB3h*hVcV zg+NSCcb;B)QkAhtyBx;W#W08x%qJ2#3ug*&rjKCZUEY$9i;7^$K+b)$vUUNe+em>* z_N7KYau06vp|`@E+6StUTQKiN3;WL8q7X`NkL7Ox#VD6!d_n9JfYWd0h{ap_DBSPmWL8RX{c0B7Nh9Tl7Mnb2MRVF)`?#h| z&1$&om)LDO*s-y1XgUrF6!?{Oa_+qlF=0OwE*mJ*GqNln(6fA4N8?Tq?e7Gg!!j?r zJy?3Gnf1};21~_4QM*1Ndw3JAjneR$nsvN-PbKbr&^kL)W9p%q@;2`p&Grn&0O6zi zb@;fPCs_A9%-ccxg)U&jMT4|C-|u6l2AT`E1Efpems2#Wb~VTGbsFm&#$%C_8Uic9 z2i3N^dsAN@vBCe1z!15&^tivxghckCT9i11NHn3(pKpvZ-MdtVmIkxk|J=@S2#0My zlu*87=F>|STs_t9vlaC#Z8yQpqDY|Q<6|kt9 zG=~v*`1f9O)XQmi5M#%0Bm3WWb;XX>o zeV8hYscP|sBBnrvd+!m>roMca>m@%`DZd*{eSZDAdgfzhp4YgZHy9c6?SziXW8Biz zbUe>v!)VZBGHo4`1+{NzSD86uKF7r)d<&Ulc5D-`sMisGxw4c~hT03Ea5>t6tpE2n+dJ zq;n8An2X^0+8x)#E(m(F6PPM2j4^q&JG;F6tokNnlZ?b{TTG0r`}z`8ij9qpt07oM zZ;RtQP=#MYc6$#oyH6KJFX`v!H-x@Gg=H&+dU_B?9ue8_>!Tz?rH0FK_&f!^&$qDC zb;EX6R`B5vGSj}U>^#^bKk2dM_q2WBWrt1yuGCU)`D=8T6~N{IoMAXxaQNV&2IrGc zUY?UYWg^)i3IwQGBrqhtGB

4~M|q zY*6NgC(q-@S5V_);>rqu!50e|CvX6Y)}2B^>Ulba1w@}f7z$Ueh$DqQ1aatybmhf} zvIeo^J}78MVH9#+K|5ZOnw%Se_lSuO;jluch67Pv=hjgS`~W_4mENhQZ!OZls^{&t zsERT&!KlaLk+V?PbNh&8eW$mh(*lxz>$^7Pp5<>>`|jfqZL!^R%k_B$N#k`4X88c& zsfFx)ogCa58pMt%r}1)*a)~mgT?t(Gu_sciwtak_!*iScx2fMTEme97RZa@EhdL9^>3sV7aNSM3`iJARN&={UhyK}rql+f(NPHd4o>V-4n+sHGZ8cwr zteqa(Zxx_>;D}l)J9M;XU_ya@pKs^RnxP*6DzM(pg}eA*TQ7`Quw~}tz6l~^9ej3i zIOvd<0aUCSj1fKXdvWxcgNn`_n63XvK<_3T)urQ@lslwfxz1=N8B|tQ5_FtsyF=#k zGXg%ne4aa=@ zt<^U%*zPOp9{{>p(QlCZF*D~J($NmjNV!fXr8y$)sq>v)&4X!kHm;5FT;Pn1)yJfUk(>4cOGwjtV z{~uf%^>=1s;u!yWxZ}JRkvR!x4RFQ4*crmDODu(gw_W^2nF!upI*N5NLD(P5hMqA~ zxH!YFBses*Bly&*+>hYGgqg32yOI;4zJPWvWm8CcKI{bbiwnVT2BmYy>kZ+i*_stH zVdpV-l}deiJHK^9YWwF~zXq-|4JuKX1D!I0O^mgt#L@#E`e%{2bE?C_&{?KqnlEt3 z6OSA@5o)@+cLrC|5v~)#E$4&Il>cqI=UK2AQ~;gIZnOirV06za1`Vp}D^P7Y3;z6F zN4>)S+q_>AxlgcNn{XNVT<*pKMDCM4jD?^WRO4^${A>K zy>pwJwagNmWY3$F*!d&Hi-?8b9!3I7anJ-3=LPIS90x}+$O>krm5x6QUR*$OG7qNY zcVc4$P@qljrRYvQOx14nz}5tmGmx~2a@q>*2AQl8+Q#4;dwANBqjC!m4-;;5)Q&^I zVhQ~K+e0JPeR)yD`ib4W#Ka9*`t+L=?x%_PGlzaVek0`Swc=|vhAZX`j}qR7zC5-^ zqN!l7Ow6F#k={dl(!@rOKju*|&-lZ0szF%-Wc#4-i`Qy+ME?0telicIH{3zC0+FP8eTz9076Zg{lVuSmx)UnZiJ`}OkoO_mbbvevj6p`Ik}>Ojpb zkfT9%m;FG%ZE0yH!^B-%n&T)Zd#X3snB^0jWIPBa@Gv!?qT&!XC5i4%#c8|t zy;lg;xOaYrh`(8mR}4U9R5u=vw$NW_5Ck-`p*w<>LBFRpmYw&Ua_4d~=k2atZ8 zelRx)ZK;Z=+iE~Jju$YNh01re{L#~CR`Il37umi%3J!P~S9#(2(UePjs7!oKCse}* zzT@3h^f$G%2zrXK_MTz^ps2Tdd|#Ez)pLM;k*c{&#Z2Z8K;-v7^gOGrF zusQz?FjpT9(QvCkUF%fr@8>tCDIX+a*ihF~DY<{z(8)?P$Hd5J$G&|V;lNCpsxftu z`^mH-g|v={VAeq>5wLE#%RYh;fs%8oAzu2@r#KJm$P0>?fq*w@Zg0N9m6q+g)ce}d}L@c1|ie0 za;l`PI(^R5AIfStKv5#hK!Cplq*D^>8n#>UpPIyynMq(V{tNEO{DO8_b%aI{Q!_H% zn1-j~-OPW-1(->^B2XQCmTKHNa#lO=2hQg{6PD z4Jz!<8i3ef`R1~GbG&fDALHK8SNADiwYPY%m`z)mFQ>!@!ToS7fkK+)2q-@v%1+=j z!&c4;C%j4%sA?Pp?gl0k>`HU>|5~sfgIB`n$F98LCb6`I7-LO2`gdZ>}+xg|H z9OifuASJb&mmlqX|L)y~ej&@kb;bR4+_`Xo#quRtn*e=>F~7r)!gL8T0df>V7gyKr zZQb>8-(w>^y|m}a%@QVuoY~q^3%pl1oX`!}82fWR{;2&irdNl59`$|`ck{inZ{2F) z%5U$=5Dr8420s6-(yj1eVfy;O#&!q2F%##b8zD*)dp;?9M<|_UpckePZA(r0cZPoJ zzMX8n#p|M?gMTsA4qVx>4q6_?c*1DD~JMROz)%4B!r+IFLS$ zv2^>?r;j=-<4v;W2Q7gzv2)>~mvePLFJz&dbw1JV) z4?+lz$UfCvziU46_5p`t$qfJp2g)|q1gj(w?ChZM@U0G0;Ed<6ynVOW2w8|5PdRjH z`*4+k4Osxg$-z>}9b0mmd%jGm`yZ*+D6_6n+^Fc6)DPE^%_k|eOfD+BCmyjnT6Uuw z8{(%L^%)~0b2L3;eTz`>dg&2OvNUFs{jF}#39$#-qVN z(Ddta*eJomon3Y3%_b->{k+E4^X=p`BUR-R$hPrCo|SGo2!xei$sH`s#&7`MS;QfWUwA$-qKdQs_Q~buLj+zIj00Sw&wshi% z?i9(Py;6S$HD68`pVhLcm{{b(fph2PlTUcM-aC+}#ZM4pm@hyg%@)6hi zJ9kpA$764DR+!3ov{*?j4YDVn0LLF)ofCJuLwy0Dsdg(0FY|egDrr63)8|say->SA zdDG2pi}mhXtY;;+p|^RdbRY%k9-aLSQ@vK}7kf!krCZ+JExSFs=g; zJ4b62oc#gk5m0P-EH2xg_dmc+n=SRrbW%^HmRwgA2a;u@w$`6tHRFo z!ditJ{F3etiGRgQ$`tZaA9fhuP_t)q&&fIVIMw;j9tfH%VH^ymETS;v7 zjxv<;tLAx-&(~tAJbKpEZ`YYO9GCU9#qUjey);xWkD$@@u2WpzckzP;x2HKxHdCLA zteJqrqnN&~nBVGFU8LQc)8{S+RP*Pv*V7K0kZXTXnV6%{Ls3(U@mLrn)-A`6!*qz0 z!|+;&RXL6t*l=7m_+S2h_a%qqHi#9v5U|A|K|siX9m<3n`{g%< zocqzycm4sJJe;MU2IeRcri#>n0(1NCJT2%d8s`%*+QpQuw!acYIc5(2&Q^Tk`4yOf zb^jS4q?*7u{xg;#K?VJLSr69-M6HiHCV(H%R<`G$U6j~|zWVw=SsW3e?ZvhR4xcM| z@YMo7$Df`ehWoI8B_IMUbcxq+a?oc&+Hui3>9JA#7D(JMT@c71uGctGRdDt>MT0v; zi~@-A8$l$RUHujA&&{JNk@0tLXSQ(uDS(`2Nnp38oysLfJ|ONyxyAy!1TP;DH5En! zjLJJ#z?T#pbS$h-Fmk`3b*><-gRB-#DqRtGGtBQ44A&*N~N5}vz zBibN;&M;WBLJ{zqCsB$VhMlEZ$LDX2a4AMOe9n~OFu>_FU8IsilvU5_He z1=NyjvDPWPOHP<;Psw%x(RXPHT#{f2H+9YAG04PGNkhU5PUV>qU#zH{qkLLC5*MCS zSd)?n5v?>uE3a2EiZ zp!){z^i&c0Sj-;rxBo*^2>(z%_w}EzTm(9Sdqk{GVw`;zx@cljLRuCe2k95A?fM-&=0?X4$j6{DPF6tUr}u}C`v3iGO`{+ z!l>lra10lSlmc7#D8>gQ7X_5~H}J@VSz29=UIww@AzC9$q+tg)f#mJMRq>0=B>sum z!(IQ*eG6_D{~3>ftc-H=%2>meC&;ma18yzuAab!1I15KLB9yC8loP`-EE=NLk!M*7 zXh{Z;%qeZ-5VBwf+9qsQYf=_&2EIs5EgO~PHS-{Na~1{>u9BwpUOv>dbz zYdRQQeIj!BU%7$NDG#P`(G=yz(K(lUXEO3i4m?h)(_5x2Oi>*wl=2DMCiXsjU2DL) zq6yZ_9kea^ZvqWBD?aQ?+kZACSR$yNMTT8pCYm}`+4m{-~0zXrH&!bkBS&ot~U!(@r8fu>H!OTTGW;%x@KOHot=isY&wE> zPr~L5q&6Y{tA6=~g(T?WnptsAf(;JV^Ghji9KWZFTIUe%aOVO^f5uumnx&5!h5Fpv zQec`!P>{7}esMllcrFtGo593QfatJ{jN*ozP=G=nt}1@yo@tdz14o0-!k7O0B4l=R zl)8z+Nwv0TMkc$ek4OOKb_FMoh_TKf`O1u${-myMRaDbvpQjqlRfet?`!3S`5A1zg z=!guAw3{$(@@;n|wv?z9sc&1e>2Lk7!&H50TttHrH$6Pd+FsbAyOYTl~6F z$`k9Gb#1a?$UlElw9$RfhHsp|CO;k*(mc&Oy-?$t|L(jbu;JtCYo}8(g!uW7T$v^V z@nfOldO4a|1xM5W~ivS^=1B;Q1&ne3})M{GVTVWyxhDA>bpKg+?n-;TIf zPxln~X8uFyiUt0O{h;fUmLEVw$7DZ~HCz6(%OvM?-ga2Zgn_n9>}TX7&L6FRi~J8B z03?Dsp8yFswU}aGj9q;hap+#t7i`?8yOWZVNFWE9fT0BU12}=^I*TQK267}Y=rVAy z5WW!}SOjPvmMEK%bE5|JgcfJJ?d8jn_&cMp<*x?4jxR=&*n`iTUG@?@qXeJ;656*I zPLuWss4b*hnQHMxU?-5i_DWJ0>))x%HR0<{`PLQu*z;H4l`ZmQ>n=lXfvYbxo|>ZIKE+;>jpBU|t%kV?4VG$9qmPELk9vH2)v*WX zN8Du22x{iXRj#Lwrt{uir@Pm}ejQsN*AoeUyYSERo69DyIb>ZNW%qoy`3RR=PTf>qr4n-AV;x(dOJuWmTM2+TGHN^Gi!z zy@NQE2)|Wt`2u+b&f^>NXi_30H{}iPESd$R=DfIoC(GF4@oS>pHzSmG?%;Bd|7A!j z$bDIH^9h_dh>ayI18+CyiX!6F7PeU4+k?au4{Tm*V&E;7u} z{iHHc9L4EZ-jr`4K!wVYdiNPxaA-jdpvmy2e81r*D1M>H7@7K8x1Gzf`0Crma7Z%A zDBWNnzTj-fn*fxF$22u1<3uMXCqr zKf`Uci6Wfa2bRe>3)QKu!`4_L7}*33Zj++vmBHg|O7#foS)twGFx$H_b}+KJsHD`a zV5#DMg~G~ONymWw&2ycBc#cGrmAp1yWNld|TBL1NM`g0C${SFpXwVjwhFAjRa`_|J z;pHh_MGqU@ZS)l5XFjSOTSq0{A`@IN>hc~7EGVf7*Nfae-2g&t;IPMKB=xNG|v&~V`0*KH&HiTg<=#}Mz>6c(uQ3I`K1jZoWWM>UUV9@*Q&E9Wqv<#`-+OZK?V;X5YJa0anc9rU9 zoutja!BXVuxtxgVbnL9exBEwk^%())Ffu2(OX=<+_Zp$)3WH4%(dlAtL?*Is8Rowu ze3`U6#uCDVf;N9VprwSOoIc`$YjIWqx|klZqtrmph~I*7i+tI6wcDyY ztP}l`YH_H3QMrG>rcK#83>b=6wk`S1&=7LJH?HHW`cB2i7=A&9eQr-YphbL6a{S3&6!~k?GB!iH|FIx8v*bdBM#vu2POt*!6*KIP>ak+at^?NqD4s>b z9X>FE>=>-9Jv=-XFMhC*0!tYsJK`C;d-z&PgR8Hy>9&q-Y&rea-0m>*cSE+Cb6>rv z_gTcva)+38F%64;$;&bqi^?d9p}iaC_Sn=~GkwTBJYKgt@`gftV$kpe|zA*^U zESJV+-4yB=mKikDR1Vy*pxdh4XKlA`ILt_tU0=6H=d&8;gAp3(je~uY`Q5BQO5%$p z7N4vrg(uKFKAAUI9|nG?YPZUI4KG-md!YFyNsaAOw~*8nx8FXtF{A#U;n-KQz zcArESYh|T{gPE@GX7%HLP6jwW#9h8uJ{&{cM6H|~?(WVZRD~7~rNQ6jJ9H>n_Dk_f zJ_rTK@7hNZ?)w-02e-yOIJJ$Og@1vh(J`%Q`RNOU4Ih&gd=1jjjunsVME47`Gm1F? z=BL%`jXxLIOL;CMQLb#sg}6WIPuSorB@8ZOLHrDrNVvTK*5C+ZKK;m$NU7zoP3(AV z6n*Cq+4z{+?1<6CtTXHMtGb>AoepXAPFOjRA0cse_eAXpgjvcyMQm1q$Dbc(o_pu5 zao}r6a{zGv$n4k=EKj(WYe;9{Y~yA@8M2J>@XGb;-Mz6m#1GDv`x5mC#c4ZVId!mf z1gXpH4w{wp3oYHG4&&nL1D;piFbodCmOpnU{;_QDSL06D!@xj*jCa7m4M!b^ zXKw`r3e@JWvLC@PBnjr=gl_>mBM|HsI4B1~hN1*SrKCzu;40_@X({sk85xAP&{=z^lswbp3j4yk-9pL}oM&aZ z#}?EgqNzS;vQS$b7bqg$IPeEqM}a{0J#n7(JC-;ivu&eeV@J^4lcl5HGKnTI{k)@J zoU|=7*~b)kY(W}!x#e{5$@MBKtE_+3J|ftAPT)t>K?Eu|M$hcG$}Wv-UU6Pq^#pKM zopX&#h8SFeJa8vE8q;`5T+;Id|3LI+6&!t+3KNMbxs)2vg5V5kNy#6(o`3zw_rEy` z@pZs>A5{-g?0|*jq%VbF$;&N%LwGA|^I~kv5d+9E0Gcb~wJTsw-~~OoZi3zCdn8R66I+~}aE+qfbEcRMq3Un&EatJihaaZg^1)P_ zLtUo=)FqnBeyF&w-@++cgqD=EoXYepEmaEmp8A5BAW**kMOO0MkYC z7G8zER;V^!+aE=b-&YoA`hTg)6zObspLQ@?ED!_p2Cf>r5^6DA+0m}+(uiqK&^;s* zD%D~}LpS8+^bD1(uO#Ji98$`H*$*NA&}?7<@)8B1Aj>sW`G6VP=oVa0bE1io*DJJR|er@D_N1KYxgmo7a`_5!z(-7Zm9Lng0g2LFSiabnWMq1kDy7Fh-Sp4oCh?6o>(W*>exY@r zu7F?^r%L4287aaJpUoS>P|3G{!vk?w|C7R z?hpK6<-%M?D(A2q1D5Ig))9R9`YBNYDXPV`Kd zanygxp;M{!1gJ1hw`o&%d#&|{DW=gLsD|8+zP{{^w#KdIWhKhCl*GpfAFUr~!DY0?8m` z6`ytC-yfBgm9vQb2Y4pH&4kTWC9pODc&h#KVj@>rWUG*S`6{)F2hIgBzfH z*xrk)6jxJx|K`m)WVumPP5qTo!4IOiNuAR(7nE0`{W9mp#Gf{GexJ&&C3Hp`Pbe!bd|IyFzITX` z_ua;y7EC5a%Ig@m>hke!ZSYz5{M(VU>Wcez(6UW%->BKRmX?q%m-ONvrQFT*ElWFD z+;TQM0Y_W%JlFK!1bM{1nVwo;mw~tYeOmMsr70JEYAtQ6D zO>iqxoUoKZ!AO4=jETe>D0e{n2c%2@8Z<(IIMB_3rj_e7z#)hkFJi~-q7}%g;*jWE z8Ct=MZo?9dM0s~@%I(!)km4A*WEf$4BYDH2k2r`RH=3DEyk+U`KTnbMM0)(l`_mqDYKN zq4nh?9y<{cY8V*E{d)cP#|98I*C{)H?qYk{^1PM!ECWdGdF8Sj=x`|Z@I8qFa5jjo z20n56hkB0UnQBOu3Q&klg8__D-L8#D*@Pz}C5{ugngtIkQXoirGZ}BLDDY>VZmC=X zu|FuI9ZM0^U;r96T~9dVT_*jm54zFf*Bt$5{}kd!^x-P2xP`f7)nw-*GF8t9 zI=asfpvg5`{T6ADE9UqUrNrS%Yhy+Z}c=*w({`D$Lo4@ zx3ORTT&~l3iMD@vr1ghG=I;HjezSkO^3J7r%&P7mIVROcp)53QwOCgCp0R$zgtT7`Rn4P|`IZ_77E?KgH+ybk z5C*8Kdi)Zd1Wa2qVq3A1p*Q zu`r?>OCSd<)t0jQdOHAZ<5fp+XH8}cF;PBmOmPkMg?5LuDTZ&WVt|@4?^%Q!!dv6m zKcGuoDg6V>@K;!RYD!;uV_G^4IpiK#)nV597$V{u=tdj~>s79a{rsG_&qLK(Cv#P;_PZ zNb=8&^mLV{Tu7FHB0fHocX96mYUTFP@PBenBYusMxiVI3s*!ns@( zuaRJvvp8&R5xZHIq?tAHi3;G>(ObE;yj_d8%qQ)Wzcuys@ESZ|Nw{@u0IxjC1ygC8 zPIy*);#+$SL8h-KET~V!p3u>G=2WKTcFS&|**vJvp+CBn3Yx@B)3aySKZp6KiuJ{d z9{|z_tz8GcR6Qdx-T>>WJ*~f*FEW(0SP? za%eE8sFgMF)cJEL5<0_QHxK+D7r^#7lBJluO1=EdG%D0Cr@v}X%(=8E|9Arr<%#!y zC{%x`>|CbpnytGfqdzdgE_$alFbTh5O~7jGWP`Eb`e%5n0PXPWEW+wbqaU7J$1Bf4 zz)|O!7YQbnJeW5$%7Fm^A4FpwpXv_{58vgeh|VwgjPWmw?jGC{lk|FK#Qg7_r*O#Q zpKiGNjqJ8+#=s{B{;TWS4A+|$+vqvU1QO@998!r!6_W!xE*6Abba7Fd#eHp0Z1Uk! z2wgIn9MU{r!9;aK_MWb2{CEU;Ya3GD$M-^{iC1RR$5?1!h+7<*oeyPa@zHTK+uil# zeA79efvlmtiX~1|UKi50F*qZWYdsAOC(oCk={dIR>zWjvy?Uj1?rlNd`=&ze>_QCy z0=qa)z`=kGO-@}|IPm>@{0H$8-Xa6iG_-5VviYC#9?Lv>gWi-^FHYoV)hitOQzH0w zkCmNP!3itJQ>I~230PL+e{csO(7SWxnVzn$7oazQm32d_J)lh9o5kHU_V*N<>r{$) z9_0`KI?B}GWiy0N>HRzfwM+!CXAJhL>+2t?8OsNtCJcmh6gW(KrUnaX4}rV1M;QXn zJ*uTeGS{eZu^@>DT}4@!?eY;!N8z)Jv$#1$>0IZ}>{GeK2bl2Rvh*l^E>!e*MiPx!-G`Dg^AD?k@|&NbXmcI&vF+o(Ls#|W*1f4d8L1NVPaW4dFzTf zQ)3o)6AzLLy1Qw`RxV1|b>^ITNJ9){7k2E7j=g~X-lEuL;`g&Aj1Puj+;ZjW)i-zq zh$y0iPf$WOE>JhGbX!g;8pa*+4#0arSW`vC2r(@R83GSOxluTSr%Jv$>0fVOpAX1* zZ#ml(#3fg(ZWEbN%PWv}cb+kT{+IBR!Td}!6a}aNV}<~5F9@%KLfT&-&ak`h2X@|0 zMaAtXPDyVMdhqy*-fz!P5FBV!{Auxcq52|XzmnL9@O}hvH|$A#;o}WGG5#t#Lh`V| z6`OP*#Wt~W$A2Rxf&kbGFQJmcko=hbPJpNLAdx3NK7Io}p<_HIeJPm3NIrs5fkQH@ zngRD|$GS?sNlOLs@}PoqiItC&kD(bq-wrK@g0zjJus{ZZ`h@+QB) zz(lQEb(@!$j8B*L#7S80sdMNz?B1^30Sgk|mzR=~9@skoXCZz9Z~`FFFiwv-NI15w zl8I31v+1tfr6>Hg*eR4Y%P(*ns6B-=4He&d*s>t?0G3sqbDC;*5%>*&03sLg1^jl> zR;i;j3ii~|(AcueQ;#KX(GzkOZg_oyjN5MFR{{$$G_ds;%^XXUwAw|{gMtljRXV1( zM%ymwdqF{i2z{T4-Ey*NP_nn&_lwbA%~EN?T^3zX;VW2#elt9{-fK-!k7asC4Ft%h zL;lRd1%8!&+%|$&5)SpZHi_obTuB~+i;SD?%#CktZO5d`?ZApMTUT4XUl z<_A2N>9NfzQ{8%By3Qn2&xDfXNuXlN2=WF>Dp&sxDy6%0(dcM7_GIdtXn86Udis9* zt~;+;n3;)C9UxE*#AW{rNrV9h7+0jig5=^_X^}&(q*k*0R{S??Hy=3rPRYy5rz0?o zC^CF}_s2waKQZ>j$!c&tQjb{cLz@9Fi8pY}l{=Hgn60qSs=kt4>(KUMH$AJ@f}RH5 z_51uDIo{P0JPHw@+;^ZM%;S*&q>wn#P>7M7Z_L)$5visB;7cd-_|B%4Te_I)1ED^O zRV8~TV8`NeT334Ye zvU0HteXAhV$tuw=^QDC7wnkvGvo2NSi3?mATV^4$ChHZ1%+{AQ_Qy^8_By&V*)Zr! zj4!Jy=F(NG*mg^AsD`sAxg(%yniODm10o9p@LC|qR{89_R2gL?NjUwjy(VVuQP4iX ziDMYh3o#i+RXLZk_BT*=fdk&A1?cA(Ii=~~Jah%2&k)}YBd--j6&M;1)f~+S>rLJz zG48SDJoAo6Zso!Pa3%^bHtFS#m5H)rZw+7@qnL4I=!v@h^Xy~F7VAGU=A}_WZ6C9E z((o|TX`{m%Md18s7xPw^tEY9nR`v4jU3UM!ncqhf;Cu%fuP<#-b|e;rpG$aOfQw#p z0!#vuc?SiS&Y1hzvq?kppyuz7yITqSt{w1Jl?UKL#Jq$N_`BI-f^kW9$$y>!1UQ8}8d&JaL%7`_|6gYk$mIMIW zErEd(GiHptNsc`uyEp}SFR8X?^0a}cq`;7u@YD3QbkcOq;d`nJNsxr)`bP7;BD?%GVe3Cw-bt|1 zMJZ7SdTd*{n=|res<3CUEl3Pu6HGb#mdG>(F00jmecPUz9Kf2b0j~_D!ds}EWo>62 zif37{(lRf@zoJG?48VUCI-ABHmfuZ^woW@b_7?iHRJ)^GMTbb*VBm^xfY8fLNm?23!cfKQ>^>o#^E8TOh*wmJc#gsj zV_Y?YKAM^7EbXkjbOCcWOhGB6qu!vC7PNw+OE8PZo;ov7KR7Yk`1%h=@7*ux24J$2 z@vEj-1Thm32jzY|xYOXy4E$RWb|Y>#0M&2Bi~^i+D6TMga{8nTOI9zSYT}p<#rv;l zf8Hl<`-_kvl$9w+q8j?-Ay7)l(1e6VqN-!UBUQz5L0BY!r%9$2K_*0=9qTC8x#*yw z5uCGR_VOw<#n6R$%S<{>#r{?VI9|JDHSGu3ID(&BS#S^ETh_<>xl>Kby9{+H)b!uC zaqGZ?bUJN~hMHktKBgNtY(H2{A4%QsGPI`TZoU0n&Ck{O)(VYFGQmN6OI5Z=7i6p0 zc79+j_;_kDRJi1%Ui9*|y{dXDA$>LX&uBjV7!tIr^FfHIpN)gYW=jqJe$$rO$d$y7 z__EJq7au9kc28BBIRoceXikcMd0lZ_u65x|l~JSn)LmLJJx$>oS2&d=`7eEMjmQdG zJ8xQX^P`{(bM2H0pu=5eFYQYDQmxg&%VuT}Pa~hb|fX-o39td34II>xu2$3rs#>KuD;5 z05p$YF54kZ)kmpnAVE7iI=bsk7f>dqL6(v66S!9((g_7utKusDxdy}U|2!3O6MTIT zzi#AnFbX3Q@9@>~;f|!qrBKk}LDst1KI^xuK+z>nsKDIhp$<>ciqfsWabhMvOssRX zDNTMx?j!E^H~`yVtzBWCiwWVjUI)hcpVm)q@g=F?R~|-~Cm;xOKuChKhk=@dW>Rr$ z^~?Qp6gF!c(2COlEF0@zpC*Wl93@RP>b5p0m%qE^>OX2jt$nY4=Z!m4W(P;cySyl= zh$$91Rd22c2?|aI=YM@*g3%PtQB@cY0H_hz@_j!i6FFaAhf<%h!kM8ic0SDOcfzed zKeBqqZ)a)75bH8LR)`ogbc>AqUUUF60JY#=`GExD3n2KgW5f8{9_J72gu+TO^JM+; zTN`+Ic-(FXJJVS(JU;c5L3u^#`rDALzj4kJlRV%&qZkbXQ_C@{kSFm(kefAjdRlx2 zT~T8|%pkGP?A!P8%ibl)&dO>T4Q*RxG|-T}Q${2i5m{M9W>QvZDwL7ENh%sf zNLHyts8H7Lcz2KI{{O$<*ZsX;&-2`Od_LFpexKtwkK;H?b9QrcZ!drMVG++;6T@zs z&eK6}*H{I$2wjX`5l|OMGadDe_h7I7;OR!O8s;RCo4IbA1Gq~ASGj~tE?C>y*!atmDUd?=?M{wd!TpVPFJEZl`z{AB6Gjt;G3zV$BHN2SKc`qJDp_H*wl?{<+a^j zWg*E1oG2tmvSXIYdwqvN!I0AfScAMvuZpZnzWqyDh<-0IOSBEHmQRRl0vL}KlN$tL zH^P$!I33VUZ}D?m(BK6UE5V0*XJ@fBI^SNv2YfPs>a-vnFxj5+ldiQaj}*ITaH0{X zdJ%hozqqKUKCS#0Q`w!f-JDkIjJt07ul>D?7nvDV!1ea?MOC71mrLf!E>SJz)!eLM z4G$H9_)7ZEp8fe{*;E=kGqVa%H{Gpqc)0zTP{z0;m#fT_tm5gcYrYS$M+U;gAxX`3 zQ{DP9+@9n84Df)Ipj#J$VF@9=JGyoiRKEGvh?Z#yT*UF{S71JZ){7h@@I`_#@71n; z&i&!Qbij+jmCnf+{=-liyEkQyy}vvcoS%Ke>e-dw*UEx!dHSz;v-1djx+j+jtv{2{ zOM^pf#&6etwfs#NQ`ZRTu0-En$7}vSMHuKV$IzPvP^>G*!goD);*Zebb8TN9FU?#n zk9D)VAkia1m28o~d{U~(n9Epqw&Cfk&!?)PG8hx~Eq;A1>%!aPY*kuoEcj~@nw1PX zik0bI87M4N)R*bf*VpId;<9SZiiioV62uAxjCu*Yh+=V|aaW|?m8g5Szcs%)H8QNP z-+VJbw~D*MP|#b7*w#a~2&I1mq7E4yhi&QuwSC$HhAC)v4xDfqMF(jSsipBAnbs)Y zb{_q+cYh}qbYHr9H4@Wb^z1~o56m=wYtL5<@5cJ;*t7yRjDO!XYo3ja35hQw_*~C| zXE36%1U5>h@tBEA3Qq-J<8c`E5SN#4$ttw8ut@7!Lye#EcB^QhB!u%5W|i2SzOZgW zPp9}A&5}*w-%ca3AL7lpZ3h$O9guLLqv8 zv_T}@SVZ;#yd~BFP)v*8*|+^n6<={6Pyf&%c!cnJEMsM;uC5-#oHXrt>s`>}J?Ce) z07wf3)H~sOO4H8tX`);d^b5V{Aq^k9h!ID+1KDQF{SWy=2hl5B1pc|*$hX#eyo=AL zMR+paI)DDWX8U8#_8E|vTI>nq-V+BmLC*Xlo(I1!cM&!|k{>`EBmz%Cc0!x>^AG^! zhi^~U9k_4QYO#$LeUb)7FQYwWP1d}|0lmMBQF2DS2rfEjtDxq4lhOIv91q*fmqn~l z6ul5KigoEILouUbLaD_KUr)>tG;vWbKpvr3;#!8LJlc3O^8CzASyD zsaoO+eO~hp9gE2Ex6=Jb10bAE&HQm9XwHw_EI<@Tl&3W`(?oXD){(2C^CJi{hF|-v z*&WQEuDP~XdOr3@$B?>~7C%~L#P1uxksNYjp zn#^Hu8Rzit9c!0pW@)0!7Z(p`Fu1niSd7gKx_cUXhA%)js_N<<9=jcoW6c4UN+2e3 zDOhQScR@VXQ04}rj|GrI_%5}zwY2Y+28iZCIt1qb$xAz*;nfx~>0<;+d>oJ#`!NiW zIs8Bf!kujCPhI_6dteJe=6xtlT$$)-bgWzjR=J@bEic7+&%)ArjG*ja-{imu^(8W3 zWB%&BFKilnwE@>*>6pYqELc8lZ@&2}+EgKMlFWm2j&yo;tGl*7AyeZuYWVnUhtvg{ z1XgHdh(wpHM<674D3=~h*_=IFUS)mC!($gVVi2+ev64d~WF#|=W~CY3eLe*|SoVfn zBnE}1RjQ~@Yu1saIQo3BpM(OI$QtGAv4b)a;i(UFjhNvK5RVwUmY7Ech&J-6qj8e> znCG%MeyuSN>bsXE51_SDfM#62o)jDuH9z}(A0Rg(HpWeEbC^NSCF3Y~C6eu&jsDLO zha}B%06 z<>sa*t_dGMio-q~Ip}W>OV9y!TEMlJ_*+sV7SZ|b!COwuB2g141*POe!(Q9S@xeo2 z0?Pexlrg10F%DQIP{HnJ<=vgvt3V;fnuf8-t`j;1@hc7LzkY|`T;iFiTerg-#wOnxz-{LZ(IiFTk{lPDf>SKIB{Pd~c2KxNg z1Yv|ptZw}kZZ=<(vzzBz?_%RoiQo{b17K=PMqg4+D_GM z@-s0_CV(c22f&}M&~1SE!w6O_*;%oMb%~{n(kcA2`KgM9K5)hG$2HM0lQ@rVR_C`+ zOGqx~Z==F}7nTSJgrf)$I3*0ILF^bmlft zE7FeicnvKF9%jPjX4H#|fT*L6uDGg-^m zhppCDQ(fb@m5FYSTKnR5gKpo>SovKFLN+TA|B3Ib4nZ5j4S42 zr(gQeld*K*`@+St)fbI9cDo7Z#d$4z^lkKgUJx&(!V!W6bn#Cjr2t(59ALyK9dMIx zZlU=V3-*@VI`7YmY6qx!jd9VB|L*_tg%zg?6}p79^a>1!zH&?Cw#RJw#^fga8%$?F zM(Q{X@P1^-)IX-^JT@G8f2IZ}2liV8_Jg+W)$7+Nev{NZk71!yHR?)T@4&dAO^({y zth^RC_g)JZQx7rBGuIPNTx)lW`{&#deZ!N^+Wj2>0c6IFw)y_fdwVoy`s~vuPvk%M zeSdp2bv)4nA~X=*Llz4`w(+Q0DfhOWmadg4A;@D|74HXgVP$h+WOi((`sJZB%3}Jg zjwNM_n-o0K!btyvc0;NO>vnGuQWbfc=*TC2;D*kATsM{>I z@(OTrfTC-;EI~@zU+8R#F=bbOv{=95-0bX{PNtT6Z`mi6V;IUeCYqX>u4PR=4g8G^ zf>3P)PueeC5ANHj)*^dN5wWAVCELc(a~YW=LWfXm05h}Tm^;ImqLHyKfOh+bDVT-g zyEUE&e;fsnmB?A;_2Og$j{bmDS8|x)#6g7sUr-nrhgUs+v>t#?2=Lr~xPn_m5-TE1 zr{X<%hs8a=Tol;Iit;=NQ4_SsJyKk2m_aN=Ye$o|tO7);P?Utbt7kr)9PihBc5NH4 z|KxlsC|RgVoDE8-5&wD|d$Qhn!?9Pj{YPivBSL(Rsf6?EUwy!@qx{#oR65x*zIwCe zw#`wmP!@;AqXJi(&(LmrlE$ch;6PlhU>U%5pCW~N8$eRs|`rs=&d5@oIo5iSLLN0P7^I|r@pZBj);`*+R8oNyFK#qv?I z;O&=(x>-zr;t3tAK~}lF0vAG#md$Un9-b!~oXruOa$6^nj7RzTxw&l)jlC^)zt`%- z9Rdd#>=2^n?=g+sh?8etXNTWIgE|KGRV*L)UpU29!fwL>N7g6?rNA zrqg7_bZO~I8e9Sc@#7y6uS=^Bu3845&{2Pury)%CiAo1@_ZZSRO^dfr_${UO`^Ja4 zcs^lJb`GBzl{6s)5aZYF)Fx zs~DKTxQ6ksy%PXHwamUs>t3c*I^_f|FxoziI|n#-LBtEFaqJweJ;ONiCGkQRxUlo& z4!fgAhkur}B>4B{Zvu-mu%Ad9(qGzRk;MflYtoK9vZL}c769|xxW;UEO@=`ewr&6D z0aRYwtCgyaf0%G{9@1ORe`WG%OZYS`e#G~clu~zaCzR`~_ za@x3DWc`bLy#<P9wW5gSgp92TKNiA^fjKd--9udF-8?vjC{M8soHz&)M^8;BvZ@_T=Fp>cxa)?Z zH>UbH`a?+^!GF!F0}m|`SRln{K2BDTOAj=y2XY;wb~M|iQQre6YP zp0EB@OlqB*A80Ev;KqU(!FxA%V4dtJ%Q8Vhhga9Jv>;*{d34Q#k{pae@*LV1;m4C8 zi??Sr&Rv|bRo3BwFZ}Ok9^J^9?B*WIg&EZVe!TZ^uxBHq%0FCymG2VB&Q^K`hR-`< z`K)nUvsL9P;5RjZphHHX2*dJ(a?*aq(9j1Yowsf>XDv^=xy9BRw_c!Qw^vsrLk(&S zeZArGnF+uFvyz+9&SOZPXvS~J`3*IZx37f6<$L?nX-NeH++;hJR%M%?s#mM+jROC2uY4`uQ$Tb6KRAiN*BMG*ad=KMLf^pb11Ro@r8G11TNHnQrV3r0yWNE zUM_1?*4|+ou0c6DGwDR443N$k$7JZq;f1n=f%o(71>0c6ystLZpCC}FD{nFtT;nEepSr6eg_P~bhx;_ zgm>13S-7Ek@BQ$>cKj@EP$lRH@DH|HXR=527vM~ag73WwDq{rzhs4eY7q&Klfvxx3 zx5Y4_hd`bl6(B|=WQ{IVUSYs83CNF{vl_M!k<(!?7namyGy-d**X$3^zV>o5{LB}jipO!^mCMFXo^dIr(NxS zY1beV-MpbACDT{`}mj=x!9UT_iKJ+l{XX;OqJPsnX%=z z_U~}f&{s4ZbDZ>+++v4B)Ar<%-Enwy6NxJ>>sviS%1fbatoRzSwld;XPM)|NNSjSvxk>d3}Y0Q^DO*S=dlPQlU7l z3k-buRHxgixN><|y21lB{HR_kfE-*#_5!icJ^r>spfa5IDLVP#>E#_~6sh~0?rpxA zMcPKm(?`JbkM`UwDJ3;w`|gG^Uf(&a2CN!t#!Zy$X~z(!;OQcD)F6owCH`&0dny4e z;)TBM+EvJ&HnNLGJ(rW%{@@bQf%Xd`aEyyiyZRf>kj^)noc8zUM%+%Fdc$_hLQBZh z6g+t-JE|&DmHm1$=I$QOcK&f0wFYav&u%Ph<__7hUxF!4R{+3ckkL?%sh_vtU~gg(2BC49gYF73k2hsG(l}b(SL2i$_B> zF)q@y)$5f}_hGh7Fbm**@?H}*BnpwU2g+X*&JHo7CW>lObHn2UN){U6rTqn;>$70x zmaDZ5b15cR+U?t%vHfbxqSok|1BS7e{4<#8Cz|d_Y}X&E6iFEiX4;-Uw}*SdjD=-u zQ}rb6qkPZV3XX*!o6_tZ+<}Rrn}a8MuWk2wsL3MC958)U91E8)U?!^(A!b2yR)?{H z?&x{~C12#X!sYBXaKONK`?;uIu{+7FUMPhhd;eSoNRE~=EO6vUBX{Wb!0%i7+;h1Y z{==a2Tt(zA4GlhB#uaJXjIF__BLxO^|EM`$#f8yrNDA1<`0hqofd%GMM8ZY&0-WbL zGXpPHH<~*#7n?dA-V15E?ug@VOG)nEemd914J1o!X%~EHE<4fjAj*APzNv3P@ z?qCT#bh1bY^%hvcL{|=HvFAHRx1RnQ3KD}By#kyS6J=g@Zz)CilpF5vubxUJEO~k- zY?jz=SD61M>xjXG>DTzpcq8C@1+|}n*IR6^ID?!OMVyVzFM_KNvx7Qc@fIZ1Mvq*+ z517EOI(Rn?xFDoy3Py|+uOr~-W`?APwoT&Owh7__fII5#bR;lc(Y^8c^R@fm^|Sw^ zO^}j%qxqE|y9oA_Nmz!+57qsGtB+RsCKNO%Ec2eqsve*h9ly*|ni72MD{cR|eP{tu zd`}Fi;L7%X{v3u(Xo;pAAs8PmLBo-IN)v=%YIgxRRF#y8vQ(@(aNEDD@WcufK(JOkBwg_I z#S6tN_WPM520njoY{!}Scx|9;O7k;`10$j4y1ZMT8>h0Ko_UjBQ6(?d9QZeOEWnSD3V@A7bO}SbFuD zFa5&Tlb^oyJB_G0(>r^?jnGW7PpbCHi{)xxiRvew5{dF0qy;1ocI>?>4PCrVs z>9ghEDVJld2OuTl0#fK# zF5D~kAX657CLv%)X!b7K7sZ%0wV6Kr3(QXDN4YFswzK@ONG_KdW zbD$p%mP7A@x00odSh#H6{n(Z0(6FGMxI>bH4mU#`lO+N?!bfb(ddV68a%{HqP6-Hk zk-qs{g6Ee>kheL6YXD`hwNgVj=DJ0eJn0|}&7f*mW)O8J@;J5VaU?)|23 z2|rN$I=-&`Qm@`S>~ssOyk{&08!BZt^!r6JF-b|sTA$Gv@F5umu$G3@mLqGIxkoCP zU=j|h>Mo2{5g5_jNby&4rh4e8?W5$AMfEm0kKuEVVGwHcrWw034IkQs4fZUh7pJh} zn5hd-zC2mHhgDqwy4{{o0l9YLJA`D|)=^m^* zljru}_+8eB$5$5Eznhyt_iuP;aeVsnTK)No)ST%g>DpW#$5mPf7{9L2W~`?!-25?D zC>a`4X{X@H65#23$E0W-7EnVj69IM>+4Vr!Ie=8LhYJIp0I(sB3|@jlhYYKUx*DLg z8sx`O{Kt-`Vwg-M0%WK~bnL*l`w;(t9jf6NEaB!3LMI9&D(B4}<-&~xUl*&)NY8^i z*g!Vg!W#uqk}&KDcmvPszM-M>;L4{X)OD}Wcm{L(moP;ktakh_nrdpaAg;E6LQf{< z=!nqnEt61trA%Wia#$60e$LOI`?Gq!>rcaeJ=g2I-RN@?*UTEg%14{Q_GoAffVa=D zDmtfESCJ(Ietvy@L46pmAZU#EN~KQ?930*&!kgNR!ca$}1-L1mWBsS^(yLdqA!>Y3 zWM-Zd{}FcnJQE0+s2A|}Z?ULXC)P}1bEkK}0+a;59=Zq>3qL5fjeNI&8rv>Cfc>p) zBqq89YiCS7f&}w=*joMdOkIFt+OjA#ua0l7zvi?OYvs0j*~3}v3sv7Ok8jsDyV4@4 zzW$!zhsuE{wn#Qc9|qn~yv@!AB$jB{77^_S@;jBM;0CKW6d5n+7JfDR5f>V*Yif^| zh@E0hyQcQw%nNFF>B~BW>J#sZCB2+sR}y+YfVAZMG^A>4gdx;KuSH9dIRf>0$1yGT z{kfG6jea-KsS7SY1)rJKsT})@PTD>yT2kAb2Foeh7O9X8+%IbRfPayML|!Qtmtiab zjl;dO%EPVqj-J{XoSG_vo;d_n43EsQgfXE-?CcxPC_%urroi}d2xfknh5PXO*`+vI z*Giih1L%x#La}W!5g<9jq4>DMe~Y^%hGXP zyB5%zv?;73ereb?=0T~GZde;s*XvcNAsbx`$x2NYAeSC=gGQrXf zdeIU-nGE$dEzwMJsuX4OHPvU+QhHTRfc9c|-UF75*pNnS5FZJ!&2}GTgq6uQa%6fpEUF3%1|A>B6XKpVbH3MWTwP0b+*9Tbw5)xO6cz z20d(F(4YMXiiBHK1}L~OE61V9SZXLn{bJU4UelFMv2zWU&p^kk*=mD#N~sSTYJv0Tb-=rHC$W^wKOE*fiYXm~~Mi z$_1;A#3?}I+E^!N%KnzYen$Ur7J)dHN-|(JmLYBSc`|DHH&LqZP1zm>P}yktQJ5L# zZr8ed89XQ1FU2J#$;(A`cJGd6&b&E_AuYjUh&YOLSl}S8Vv%fzg-33>V@Ygbqi$lT0shR!Ew$SGQ*Yo zD|XKMh%>9D%9<8iEX>bII_*5S1-teRY9;E#fE6HQI=$oLjNts-8m;4_JE(Z=pPk!; zmt?XPcQOZv;;+cwfdM)^P|8Rl3mA3BLtC~KCEur-`_P=><@E!uAU1JN6V^rmTM%64 z0e^w#b?=mXe_LQ-QOpSD9X?k^uoWwtcbi_MXD52tvkr$si3K!o*{L16@!FYHQDWa# zRM}xn2Q3a*$u%(gwz>yUzUS0Yc#=RPG~v5gXme#DixLyg5!~ggh&FBk0}IBbcX2@) z?JGi;OhvTFieBhrvtOFTVs@*a*ErWR;nJn_!#jo4(hw}TqTWO)&+}n~N^i}MQWTIq zQRahh2QW**;7*-zdP0Y7BtT>0F47>dY%0oGFn-m+SHmLXKZ#!*5vR{ynZV8vfDEqC zvD?_%y7r|iFxK-e-e<|`y1-rgsOQa&%YT;KUO;T`!}p(HB(&LjV}nGtxj0Me$1x8u1F?3MGqyIk z1|?48Qr>V)JL~b)!JoeuUmi}x9t-^6?lu;!uOR3yhPJ2K0QI2U3Z5!hV^3po+(R>d zbZRhMA^8lYay75HPgShm-$t=5k4gZWYn^*w>(G~o7QO-FDDSEhK9zNXERyrCdZ2wCb5oAR8>_K1r`ffz=XB|a9oz_ zL}y;unSQg1v+vRh%RE&qG1?;FTaQZQw2)EElf6ROohH+ij*M|ZmPC3={@~Ei3h*j% zBw{W zOV|V~w{barDo9tB$(nsjQPKX0f+o?xh;Et(r!O)FZX2|Zdt&oT#`uLgR~u8yA{U!d z&#;FlcWr+9wTka`$Wlx8bxF@0A2TPJEZP=4X(FG`cs%p-EEBtb$T2F3{p7YSUk5ws zPaJ!?reo#TK7&U$dn}ys7}(sS;x=e587h{s#FXrL;)+l|Itla!1Gwr5W02odJ0YI+MR6tQ`*{=|z36X35HK7&^H>0aZMggip^ph< z_4pu9YJTs7n=liptNYwaEFxgob7lJj9Cki#dIr!52)_`>L3sA-J(DY1&^X}b6CZc3 z@kTz(H}?)2M4v6f03UQ!M#MQlH-DI1H^PR9#ezz*yV;sSNePKh@ihJzy;*=u4K@l{ zLCYakvJ~o{IM20ooo+|j)laj8YBE4B39z%-eg_g^N0HktjWNXy%wpwANMVmXj=_Oe z%azyPY%`rYl)sncl67)!Hi0UXgC%|UzNsRGfZ|Ev&ex)JehFG4Szg}YrdW&7S`Lc3 zv$N}xBG0RNfsD0}T_&+fQur~4zy=kB`d|LfFwRwQ?2xBA&-_G+!jc0;uXl%U@23GS zdrvRjOo%oUMI&QVXf}r{*A}sm6P82*j75v4pS({cA*_q+f17tKR${|0t(a@qo(KOx z`6a@v;X+eoaRw=1C48XQgr$aoWWk2{Y zz57EM|D+UVVhx0DiHW34)WcqiXPB6n2wJ{kXCyKI2q9+{!`y5$yAd4v70^LaKtzM_ znlJyD#0;Bo?05No@@hzk=yiE z454&Ww)4X$lq~JUWJ*#v?dHRRLZ_}n&0Pm%6KkLbK$F9_&W4%jh9LP({sD!79PQq{ zd%fqxm7>Vf6yA!9BFZn?XQroB?jITs>*>EU+dt@lL1$kRh_7TSNoITGt3Y9TTR)SP z>?=a~OiWJU6&j~IzUf2KJqJXquWcAVlPL)4EJ3QaJbLszNGqRyMvWG|*7WfO=CSnj zX`>VQ$R0}e7NM9Yooqg3fPr;@Tyl7!BQs8wmN^Dwy!cIa->M+7A&sH`q=1`?OAA{> zMiT&gN#7rs_JRdO!VBt;4`x@9k7HCX;Q6_!^0w5A^PD-$1hY_7>W0{{3uCGsVViDZ zR74CtiC^(D51L~l{KZoAK@KZW_WPgCX)uXV3J?wT6EIqAcI3_sr-qh_aOs~b%*jJ0 zKzIfMd#r53K`1+NEwdQtAkPTU`4)IUMLc}h%Pz-OccRq9|p*2G!?Y*2@Og;!ZS{f%Qg4W?C zLFO3+VZxic2ieGmXz(V3Fs6pCz7J=X=mpRXO3u8vvN57TZyB;|1Sn(!M9u;17(*@j z(_al|;rn&lv_z3t!0qHof^lOJ8-;N#W7>sZph11ZH`5iK`QtDIUj$Sl6$|rZ9p{Nd zrSy4?#q4|9-{(6d4xT{-Bf@FO`b9B|z{s!$nYD3gZsyIKR=`E4LArTfz+%6{DEPZx zbnW{7avrY9qQ{TZ{1)cn>A-|~WV%udlmJw0wM)}zRKNmaeKQKb0rDLQAyho)Mbi57 zYhobaJhBcx-<2~I&EUSenAi732vEsgJZ6o%YKj}%5likS#fV*^pj zR`3+y8QH~2KfW(OZ3AcRd(r`r@}RaN6n@?1SYzpVZz>hqR&$U?bHeu21;aQJm$QC{ z0Wjf7a& zzA_sZ23vraK3>2sXE&p$$6t6=hj0I85EE$ez6hcqAH0t7r+@>EO-_F7f3UgD%@wdn z7+fle-~r@`Ss&O@48W1{L*ome)5IQyYVlsI>@&@YE~_3$si*0>B;Dp2;TG@p;LYpQ zzQZ-v+tOKm|C|5)ktW6ggUs@;& zAS;uB3jhPDjOQgweSUF)$lLe6F5^Zf8lpfsaH9>Adq0Y3+&9X18R^`3T_J$RDJBU+ z7J)qpw<5s6BUbvrup+i=pmZV1p%jS+X{ScJ-}at53*GF!Jp9rK-i zF+o|I@$Gk>I+dq6)Pe<4c(l>AX+N>;8s9GG?3{P`12p5Hn>~EHpR55_^eX)uU_P${I1oJM0Rpj-I(7-f$+3Q%2dVDY4KPe=ujsR|)lFDK-maX#712G%UF=L?o3qSX90axqwtrNJ&-LlYy5( zxG@N-ggrs#Rk%Elid2p*f|(6!Yoc+f1Smm_$#?-c0G{#(!46&%WO+5}1cH_#6;=}7 z0Hm43+Xn;@Z?XM^Xopflcq{oefXIkHB6@Rz>Z725&scSqFWS?cxL3rA0axzNVzD7v zTxW=}L9VX>cgC^jsLHqrd7zRUuc=iBKa*G}YTd>dv;vRx&tKE$$&;CdB7-M>q`PQ6 z(s4tL7pG+6{WDW!FyvL74AYo)| z3$+UV`&Hv}nVmru6NIC3WzCAjCNdL1c^q!`EaDOZD7c%blzl?f(q$|o@-PSlYl*H! z%H_wz#45{(c`0xsaLB=$KcWY+5Ldyc6HvK&@o}Cw@r|qC;|ateXyq6w88Gd!7KS8$ zd6dl-3(vkOWU75$>S=5mCUGuN=JZ#cPU`QcBpRCW5oi#p2C&P5*sPJfh(i2$z9PdJ zsD_Yp&F%(0^kc)|XA?hf$qf*HGquyW2S!I1d3a34DAtIAJ+SuJQuhAA!2`!?JY$LzeepT(;Gq%eBb+0~6;W5DKw zN<$>YWW=1sSObC4Pz_dKlfH91q>5(}@>Y81?TdVPhv^$$1wjPS(_FVD>L$1W#}`j( zJD6s#7_8DE0rj81X0KZaFy?>xIeFw+W1}jL>7|$$tA{2i)UZ6K1$jpQwb`-z!|uVf z0ssCP@*fst_~;JYeKnOU39Wo@h8>zxGPQ!CqU!aRq8m3Z!;c!U1tQ!$kdzqm=U1;r zRc$>Qr|}OL;Gd81*N@vEpmN_TbJTh@DybzrJd7%W>c0W96L}9l3AUT<&(vN9@&ylO zskn5FJKbm&l6;bEg;?`vY`692kn_`8fEz3V3U%%C(~aVb$Wls4T`QsiQ~jQR!? z%R-a|YAbXLSJnt}aaAXR+GgHA65m#AcJ#l8kh%YTAY4X)W-cf}hembYDO{J7b>mq- zz6Jq^5$IKc)`IOq&{|>|gUBK2Bs~9nSdI+KF`-olg0nQ04cbR612{aS2a!|(M`DT%ulw!uI^rcDyh%L zB>2O!1Dl&)MLHL1KH(R;!I_hj`Z@6A4L1eh-MR8 z`n(2HHNePS;_*RWD_PG5YcAE(_lsg_D-4e8nv~B>M#>!qc%;#_`o4SF=;e!hb^jN8 zG{Lv2!8w#r`&jDrUEZm4L$a>BVjV=ZlKswz4K85qpe}Gz(3gr$M-4KK;l!`A1ST%? zcE8kFfUMoP#S2k|KwX4jf=ZEiR{-60g_{XzIH`$H%d79)x${z|T_g&Bl!A1aBJIL3 zMjmY|*-wmXqmJK|gP$+{%|KngKF79+2hOI~Q7ywDqk$CqC~-)S2oSmfbDD^EvH|i$ znMe^CvE8?1gz<5p533VB|GY^4{~k0hO-?WH0V~^=v3 z1Dy?$>2YHv`kjH!5n>^RzXI=Wfiju%Xl9$#CyZRfYZa|YaYdZmGj;s-B|%%HSPsV@ zvdI@^mCqdN5L9O8t-i0DC**bzZ|2KDPa*IrGV?{U!camY=mgp>ejwYr;&OVcKE1iK z)Vv2+$IFw*xqs*dX*l+%=T?vZ$xs_3{|(-v+AJWSUJy}Eq3KP{F8>{VY=b~@>w8Fp zwdOFIv4Bp`ZfXQoC)q%vq?o(w8HzrM(=-;Sgyl=jG3}0RwDC#B=YQL+XpLyyhGA+? z0cvey@JO1Pn-k-bw|P7md<>$g$zXxzu3b8vU*T}k^z>;=9Ik;S&P`%m7Zze(>e|Wq z@yWAigY7o}yX)-Rx5*GDBd(?0$c{Ri|M&3dYwAUm;=E^}$&L99-$;A?!5#3xzA=kb z=4cfm3w$KzG!&LkF>yF{GF4J1VQd1XKE$hWx8r)UCC;l0Kw8>nZ`_cNsJ)vYGfAkc zujjdAif6L%_?ytexA-<>9jGmEQA4!O5<@d+Cv)Gr@8k^DoE6G~vW`SKaPcD*>cQ6P zKo9xrGy)*dZ_B&~$RF$RUq1HsR>DOfy!21dXZ>%`zoUNrWe%kHr3XSw!7y0^Z=J+@ z#)S`3&fi^|yK``lmX;+L&V#n<>go~CWYxj)NGT+0gR&98GgWtaB5;K{;nu}mtq%i5SG0*3aa>t5 z1@>z?qFUx%@{SyIv{pa+w{EK))&bd{j04!cjnF+Q;?X34AaH7-+IzwoP5{0@<99YC zPYhy{pB1h`yrc0WyFKS#1d2hS^%QJw%TpyQ_x0cgJ;e0)yAztLuYlkbA3f*7J}a*o zT(oG%5`0IHIRk3lrjXOU-NA1<$3Rcdcj4ZV{n-Co*#(}>;4tbjNrgbmTDMJLG16F& zCAD8hc5~JRYiC*^z1hODT@1_$3q0*Cv~piz1ps&XV?3>vVNBU;yH=05mpT78igB~x z?fv^y%rm;|cYuH$qtc*%$piR_u599Z$`LLRQkp$zB8S6Di~F51LP&pc zo=>%ugPq+5@c1SpXAHHy#lI1OZvO)l*`tX2`AJR*6A-Gq3X+*)0OwJN0D;VqE zq1CfHaiW>Z!Ca^V25PBF*9t2jAgt%J#uyh=66cujTR<)eY!BXia|nWHr{jW{p4?C8 zs44~@f~@Ezd$O_t zPzaaL|8}@Oasp5)M*jgQqAAk1LL_2w1bF4wo-#p1=#Rq$jRUeh{tfJfYSehoMIJNY z7LYv!ls^DMLf5i?i)Ex1cm%U&09KJT#JHJsEh)(uG4)@MQhFHX)VBZnP7Y)MS_(d7 zG?=#mcDs)0>vl)79uR!IAox|4&EZ-viq~eK;3krD$BAqJYl2P!1>`Q&hYF_Lc7{3Yr z!@3gJfsmKp=+Fe=gEM8cF+ukz?o_uMFXhmZc24uP2Zz@Ltp$V@xwE~`(}pj>JkDmF zMsV&NC6ARvz=!PDcd-U+F0I2l6Up%o#g9czeAY<$&%jTl>CBoc)@osGLVuQoU`|)b z%^GZWIT{C&|3`PL{e~!eBI_%4RE)pepEIQ{7H2X*94Sds-H}$MQ)m zFNJaPO0CjE`ym2Qz#5wQ9oQ&{=b?h%^lbFra3dRq@egR;w&^3Q*sZcZ!g;_o$_WOG zWZ?1REUvX0sQ%Hhv2@h*r|VG?S}l&}(5rw)!$9HHG~n1x7vS5GJ+|H{B~%Vf_sGT< zs<*e-Vtuv~is}rF`pX=zqW+q<{3-MNF(T_DCJFDSM!L=;TxvZf@f92BDy?s!PmfLeNiYacYF1zufG zrgjy^D@L!}y#=w{=F?v z<7l~km>liv-T`|^P|a2?@j!GALA=JG92nsQ*$;Gv#yB9q{{bLi0LxWQK>9m?;MT@& zTD6K51>~w|>FoQprqt!luB7joo`U}YA>@Nfbg13-BEINXz}W<7#06(hfGr|;^?|i? zhk-gH@1S-1IE-mNA&+9fd(xGc0)Nyx|8X)B4=`4u4T18o9$(M$iN}5PP8}HK3N2s$ zs~A5|eEW7GqF|;_(ct+K4^S@GO`A7&*f`qYW$J4-?hO6+mWi54$Hc^32BZBR>H$*O zIF^8i0@;#K)CnV$A`-ynH&wG^)KQJMMLtLDPySpu(rj>~Ak0oaYE^PW?#S9_0v2CK!eLGyw zqev9q?r_ei|CGd@!_zkc}WRIeilg`lEi?=Tjv5Z-g(2O6ixAw=GUVm&(o zj9FlbSRQ=zR0YnW?v)K;ew%m`#N^}_lPm`PFAar{UyH&&vTd<_%|^J&hx+Z)(jszC zG8~DW;fGgYIxcU_9LNfukv8ei;H57Qp;TE8v-_7fRe5QN2#J%>av)&H zd0GHW#2UTbYzg#N#M&6dsA|~U_$wwEA@-8E;7<@kV<_h> zaFt@5Z~_*XwT&#L{=lu|I%rEHAsq!y{j96Ym`nSdLOt0i4Jfi`Y5hi^?g2sMoUKS#O}-<6$7Y`tS}9>vphi?@K&)(5MJjaSZs8hW8KZMcZdAMCQo zJFUmrUIdj(XTvGBqf;!i} zcL?aY$gJz?`68mC+8?fb@gFG*TX8DUbyfb zc!`k-I=Z?x;DyHKL3k`4Xv+~+f&*7*l(tO6OlN>cFarkP>=e2%N3{0dUC8Lk;BVK7 zXWs`fH8|q_`Bm_p1FOo`k+KRc+@Ua1>u0n5_hU1HJSRM1Ft3>2pGFRxtQR~n<^-Spo0=@oYWbFW;b~yooz}TJQwIgf2>~vT zTYHiZ4ff<%As{vMcn)xU92$}yf2ia!dbM#b+-MN1#~i^fWv7PW>b*~jS4hb5v^kd- zOThFdacf=aRa^fD8HW;>i%jvrY$<<$1hE-42*_b;?povc69W*+DJCC^6#06WzG?=u zdNA#vNL4`;%PMe1bRbJ7kbx*N-@+lQgBr*)X`j+BdWW{Gb0*G8?>*tKpfvM!J(+!u zO-wxO6h4O`&UO5|Fh1)W#<4q(6g3faoFe$ovy>gl((BjPfp!f`u)wLFGtKr%gdPip zrb4kP;ApVWamX1dR0?8H-~hyjPTes>p`H(mx-UXuJK+w|c{LPEy23T+<6Xctfc;dH zeG*R8bpXvEQc(V^%U1Q`cT5k)?!!dG@|7&Le^vZ+v)_Cm%HaujXf((_dNv9uWIXDI z%}?9ErdSKs-(CzH*IigRSMlPQoMyt;ZF(2#jRJSx*{@z8zOp37ls%AtY5k-^o8_9M zB`b{+Zam>x|MZna$&H=Lw+{WDdzn4lb;s?CQvBSU&vtL07rv>(#iLVOHu?&i znGX3bRb&43X4yzl#KQXrgc2Ok4oh@PluLTWOZlkRZEbcyiB}%Rha4SrVhlffL1>Hq z*o${4v)3qa+p_ic z(sE*h!)i2gVnLj0%=lY8TK>!E>0enq1mXF3a48J!Y|%*A!t#-I7==&{_(iOD4j*}f zmu_CwHwu1~=VLa1egT1m&W9?@2gS0B`<(k!3ebD6k(Sfg33UZ~FGrrqzb zdd0hXcnn!T6_{W>#-gus55nneDk%?&D00kmC zZKNnvIK(Ao^nHb#{aQF{pzT@&Or`^wj2LTx!9(`XV^*ym{Dv@-0XD79vn1^|#^iV0 zA__9(H*C-VI|w@_pPC*<|KJJ-k~h!|_xYeep)a&0BXz(J6os4}8XD?fP*7048AN03$C?xo%vyt{RN=10ngE<_4;dyAaJ- z?+;^?NU&6(0?LJ0Erk1a=ju{HK{kA|V3#Qf)#W#BI=t0PHqjc*2_84;OIv_umY$sx z0N@&sJ&yb*x^=6Ot)VgZ%)$;YQQCwn&9Y;T-~CN8slk4O13; zs@8)xS9RB}TWSs~f})$3FqHm%L)0GQBohh>js`_xFM2N?owmAC`k#+S_$=7l;Rt_5 z(0ly8WnWi0CU)Xw`&fC+J6ilu42i9P*3WK+z5u$Ml@KP&e(Cu&9T3XVg6FJqMhI)^2{r#9|D3dbpWjGKY`eZ3U?Tq+LhqspZ zTF)}{nXB&Wfe2Db3LHTc${>9)@>!38g^CaK{u|p$8_Z~6!qMkzvVQ&gmvE`9ZD{bz zbK!mRt?>*2*-_D?e*gZx2JOG>#*GZNwzbX6 z^f_BTJw1UixCF@a2UZV$>)DS^(2gNyX<`uUXZG$|DI7P!{nRM(n1E~=B%3jJ2`&~= zLgHVdk?GpogC^7pO5VKKM9zuU41YXq5)0MJPvX|$cVbiDCTj5fH2~-M(!8bh2zo6* zo45P^KJfXwk&zL(Es#{KzVY!P@Bt?5L-Uk3?6nRqVL+SFg8LdAU8r)T`W^UD)gX;w z2B!g)CCwnyJ*ZL1L|z1prDGt+u1jY+D7cs?l)HqxG;IZ z?B#pZG@XcYHv85o13tXn)9RN0j3Ud2`xv1aN4-~$=BO}in?sh#OE4s1N zXN_A)2;Pr1&^59+1Jpe-Nc5))%YchmM0{)Q>k^+J1LG9`vWTkEDqX@uty% zl|mC|S^J#NWr&?Pa%PmgYS7pjs8ZjVg!8v67lKPMtNS?ghQkZpM=KK0k9?OwsSv!{&elFq#=#GjPa9Xm(a3Dlz7}=*EGNs5->N)Cx3XecS)qB6t zBIyPLf&%l0hWSK0CnqQI`tllc!9Kpn*)0VwSq9PV8`oDh9jHgPpaB$AYaO2ypYFL-eEX z%DL@piy_t~NTHNJA}QHkx$G>5J7}$oapnpA3wC8hWI}Sef zzzE-$w)<=#`fv?})mdRh+7b-)`iHa~+S8mLZ^Ke{G@vZFpJ)-NiNKkdYE#h)(;9F@ zy+rKAMg(NKC4+pPf7&GacM|ofV=Yty=V{%WU(wRm?0^@EyASSeaN9v-kl>X2@DB5l zn>z@9jOR7G4g%(9fHg4ry@U{oR>B1y16Y>61daBtOKd%dwAs9ZWtcta=;(6s*vYu^%9SgWKgw!WqwAuB_+hIlOLDh; z?*HetUdCDnKOc;EKzdRe>qZ|(!UEc`IxtgLl@@?QoQB{aE;CBzM4D*84MCvR?;#4_N}yX~0#>7Z!2YlMO@boQ(G-^Vwo zR0JahvPh4R5h%K1f7u%tRf^MO{<`9O_V3TWo z@H~hZ=#To|8Z9Jem5SW-Elt1EQ zfg4|%It&8tukR#VVK5JsPYZOlV8vO2CAS0j$s?Mi{PNhTme$rfOy03C_Rb+ESao1) zKx*}#r>O8lP(l-K?S8)Gl$1p{QpnO21&k}R#VBJtsp~=NKPLiB4=1Y1mN#!S@VZDT z`04X!vcz1Q&H!s`AtCBT{zW(#z>PV$oB2K*x|*VAK&f#i?I1Y zb&KsmCSvXi^nuVfZ%r%$2e45LdupOnN8lMm0w#+-I{1xI;g zghpw9ZQF;=FAQ&U0RKNrS`Tj8Y7AsITVVBpw*jPq+8-9sNF;$S)uwj?DFC@a3i z^5>5qE=XtO_Nbg?#&Bxh497@H$_iRK?Fv6Icn{jQgBndC6_=iw+I!z2w9YEO<{e(S z6(&HCUwP-Yu{`bENLGZPTR&9tJmB0pn&6Tk&J6nh+}5yxY=46gd&QU=q#y{SsX;%IDnp33}%Qbdtpe6PeivUr&=5TJoSA!kG# z5q^P=6bPXnPQ4|MB>uF}`&SVzInq3Wy3E%X2iqRNaAgsRst_l4Zu3GbCi9=V z&;<>I8aUvdPvBW_W5eLGh&ohAf6gRE&MCNGCOw?b4E;>)4|mg5UPe#hj(bji<)tRdjt5NJy}Ejj7)A3yr^pogE{V zPJjCHWmV*1o(W*~!oYG@@h}6Q&|Ca(Z!@tBiYUVV@!EeG1r5f5gfvqZP=Q}x)72$N z>|KbvGdl6Ar%zcCkQ#{M9kn$KZ!)_#9=va~4CD*4UkfZ0e*n*av#znatrmHQJYn3- zK4=?0!7dI>whMCHAiP(0>{t$4zm*=#8Nx$K83@}HQ7dk1MTUA0USMT?JtO*y{vmMb zP+=ai!oJYKgFK%S8_??Kg3)}o8!irnQwMHTUG+QKyJ}{(C1>&0n0IYDvf`g&=?Oj% zVF{HBlHI+ye&-4bCeM`IG?5+h^^br-LI_?0P|`?HAXcE~W@Kc9wHsg)JduGNe))NM z#H1-GC}>Q$6sTt%CKrd(fAW-#UkM9i!A+H(4zbldQF`bvt2#k%Z|?vH)KY|t=rZ~B z2<3nCrWCL^Vo6rzz>PnK8V~4ue2>k(}&1!_v@y_F4)O0Xnb{Jc93X$P;KlSkBI=aldO!hGiK#Sqy(!ivib_ zf|WxAblCHD{SXJadGJ`o56C8u5yKfHhtjBT?$98BJon zodc{C@#}+S{o*{wxB8Ys*6h&A0^JF@cySTg?}KeJGLc%^+SMpBK$y;S>1k=<#9&Dk z)#IDHYvBfor+}bgu;u2by=J5*Vqjo#c0<4*S$=~-2F>sG4F;BR=e7ukTVAFNOo-V@uhF<4BOy+07W)3dwG@T1X$Vbia1fH;IY zN~*>aJ*9m^n&L}<;?kk5z@4dVZqDv7x_R>^Q74h|1HYH<$zqQvK!`V8JPnFTvnd^{(bdfIlD`{gBaL&EYRRn{>aWN^Uk7o5@-Kk07+V>s2FnT(h`c8 zp^rp+VEpZ)6fH7=&zDoJW`=qR(`jpbIil+DpY3^A0YwZJOrArV{oOS46S(95<$_~9RKf1ZQW~c6Aw!0I_0RbXb-gitA@BayueVNH&gFHvKVhb zuXMb*0v@`rrksIak}O?xeD$X?HmbO|_;|CN&=+3ZT~x^FE`Q*le?hZfk@1@b*D|-l z7hrnVG_Hy(UJ&d3M@S!pa7r8mkk`h(BmM6rM9E{XB*=0ln3SlTZGMM3=3vLq*RNiY zjA>|O1pX!uIir3T6+$qkiC;Mw-)OV!ko7spr^XwQ$B#FsZg#Z_9<7zla%l>~xGn!< zJ*2R>!JwPV@Ss&-Ub&6+ANX=`X*?7&;7*7E%C1$($`X^aW{0MZ^2cW)3zG?c!oqUy z{(YyqvS>9-ZpemH@TXJTS3_%H_gvuel`G=dCrn(Gs9qGjfH1X-vWp;?LI~hOD5^pA zNVdub`}0ocshJ51B0j)b1G}ZK^cLYae<%xwbY^v)EXDf&+B@^Gp7XZ-f3u8HgBeuz z#!OjS$z&@cV<~&mqE%!oB(#vql7>)9B_Ufwr4mwUBhn^WqAZ29AX-ro{a){8=AQen z=Qw`H@%#PvJjZ?C$NkKme7~R1`+Z&Kb)M&SUApr8e4kWbGv%O0xk2L3QZcHej)kUQ z@-JNx?$3J>b7=(?{KF4F+`X`LS`kiNF$$dH;0R3?v2?weUYS@!1}7$wY}>X?$fx`< zu^y%<_6z@145eZK&1i;hU zRaXE%?HHV(zF|M(tuGQXqutZQvh~n4?4Id9MpLuA2HNxj^h)1>@?2VG-CWDw^ZPGk z=PSL7t>`N3d~MF0IVEu2`9{|IlqVOg1+q5 zV??t>DPwQ-6CLj@6A@=r5d$hqz_?76J7b)ag2|@2cdcfy!agQxj7XJ-0C`79%erNC zb<>`Nb)`#&nrhhFp!l2N!|K5X(u~J8_}Pa%J^zT3U?4kpX%qygjgI&vuSo=Kj>%w{PPP z^5UyOxz9N{eW$7FEm*oy%X9pD7Z>E_UIz|dplxH-s#P!k3D^m;V(_7>?_M$N16z>N zfkIjUz)sm)%l5+TlwOskFT(Ds$HIN1j{;1gTCl!#!hyJ*66nUAJ3a9^iC@w87K=bd zv!W=Eb<=F^4!;bX9J(1AjXYh)LdE7P1Y!5L(q{qxU@P#e+D%%WprEX%WN z7P~RO1FxEt^;urSJN}@w_85%I*@ztl*nXofT>8Ls+Y#FU6XuL?=e?03<__SM9W|=Y zjza>?xO)`3Q_gft~CT(QT#7p{afx273OYbpIq0jFIaKEgH-92B&;w)x_lQ)}fTW!})9%wT)`p z{TP4l+`DeKO+7qI#gLx{!t_e`#x>SsCQUk)u=Z)Nlnq7mjw)Wwe(PqC){eN3m?z|A z-12+xl4oGd!uUshqSDd17O0j4=T~NBHlDI(8_YZEhcyqCLh?fs6BA!t`I&!|wWS~9 z+~fHhE+M0hIQAfE!?G)oH*4~zd_T1Ar+;hOUaEg7FM!cb5)sqkr+jc^ztHNbFnJ%r z>R0MC$pV`FEUs?qE^?!g#9qOHi|I^ILi7QC)hvDvHA4j}B@qK2DKA6Df1?0kr1zxt z8ZTeH+KFNiwYh-vH{$XsB7HVcYWC4rTpjj6ORkX|Ml+jwYVi?RVD_X7qWIglw{PE; z^AKoH-oIosJPoTC8?N+{*x1>LJsYPuFbpir1ex?*vKlhDoZ2Vr$%^H6cA`WPtOG|^ zhLA;f;5f0VkAB{pw((06Vyw~zFyiT@7%zH@KXfnJL<3W_7=(zKs`|OT1U~yGh_8jr z9`#PZp(nRRZz!$5TW8P41o1o44~95sRfNd{TsP0b5*T zWe)|-4q~Bo(=;Z&rxP?bf%e+Bk@e%rA?41 zZWxk?RGi6SSQu%jbba&uu(3T zP@f>GS){wSE(@6^IoDi0>F;Y&A6l67}rktqhzDC1*rdx)<$DRGv+ z!uRebfk6BI$@Tnx(^joIm-%W(T_I4ypftw9l$mtYm)U-vOsBC$HS*ke5!MM^cL3$C z#7l^qfKONJtrx|Q-6*B15Sov{4JQui9G)a1X`2O&t{(h?W<&X*cK47>`2bCE7?!#p zX(n<_J_~J7mz<~JW2Ed&HVJq9SwZ37BrGKqONi1}h?gu-pMSU3WHIrJ#`r=%LBG3% zN#kkq=Bm(3(HUH!rd1KM@bvD?I|W4l?pF_>ISH)WfSOtq)u$!HU)V4C_@cEPvzgJA zHKUNg8TX^>k;*U+oYg08-eo6bnozDJCjheNj3NW{&f&*0;IqtFkOqxcuI(1rqk|y?Y}!q%t4&)`7wKegw{_PYQj$ceBPb;rbf$zgXwW z6o`bT zSFAy|5%X#1&Q%*bmdC*nuFe*FK_vokiU~DdZO5 z-+%EQc)TEVOgB=!YQn9|rO|gi61XK|Bc3ibxBBLlOTiRuLlsb(`b~yUQM}02#7!TZ zo4+W?|JM;t^Yc%1G#$P?WR-y5 zV(9b>|6)oYIXStu657~7`$|@?pyg@W>Moh0DyQ9a9v0H*CZJSLqi%Y3p}0XJ#8tvw~3lHXe48X}ovs zafI#EJ4UmF(gD$L5@!cHu|uznv6S`Moax?1@+Vr3NM{V+<*qEJZjqxP|LxZwhgxg? zR{&om+Zeog=JJ;V_nR$Q61;kUUHX@vG=**FzeWGQB5o+`eaAb^UaR}#EQPP>b8b#g&p?4 zR&0aaE!Pd>l$_3s+RD5wZ3gA( zHZy$FxWxYJk^hRk3*Dxb(NNo%%r%uY44gQWG_W<4670kU!4#>gtH>zU1zS;GG?I?^c0>AhHt;`i|3Lpw_H1<_;m%0f;_X)N38X)$5*+e7!=^g5S8 zBgX@izwbE%o+8F6CQ~X-R9bcQ0qLarCF$e#jK0EBi0g4DQ>E(Qb`S5~JtMMs)TmK5 zXf0>F5|93?$@P|LSB^KzKhtQ(hyC)h_y{^GgBiXl=wbNydR$3 zN4pa$Q=Gq$^DiMljOfxAl(T}Tvuxk!1idmmqTWZi0ypl=*Xc3(A1}c1N#+g~RH-#Z zk%4+YA3u8Zyz~3FyMzP7xSu_8jjByZL8y2>#uYmqFC{`I%FXtY5`0$1LdPjQK zA}_3XSwqk2g=ck(kXBo_2wx%q$`;sUN0X%ZB?o7jIyq^|^y;+|GIhkpYfwm`$;lHk zf;lFPe3Wc$s_H@c46*3)4(f3kw4=r+s|DB0$NpRM44+c!-;8@gS|Nl+gqZpxM6F-P z3l_`)29Hq;d+JQ_9<30qrX-_^>*pql<#41kQ%L5+2x-En%iMI?{M_7y6K3*!vFHV< zR3Oo;KmwMw$Cj3AS`sxcM;p%DcB+_gZHifmyEqVxX;|_`#*6mVX)#x2`V43!AZU&o zmuQ>7ionqQgSCTu^c!`;)Dk9NsrG|X#k56o^_sU1L+9&e@E~lPc6CXGUc)eBXc%yR z1J4CVNJBjOqTv8#`5vxeTK2cNnulUT!@}}OGg;ZemAxi+h4Z!+UA}f!KJoWEmyrw` z?H9*cSyt9%rKajU!lEMWsv`L}0q(*6_G911$@GIWv?svNo)UuM(^Eq$vQMKNs>d=4 zSLJEfU^XM4EnH$Fo*cbmZ`Rq+4d_gL5wtPCPvdu8yUNP^roH*?nffCT5!aY<_?V*K z_v0NSSz*??0zjLpVD{ZL=EsaYSC$E7cvIvtbfCjDpxKwDCWDuhgD$cJ$ZUZn^}S7; zb%t>YS8e!Wsr6u8U26cet!}$sr!w}R)sF_XjEwIYX_N=U)Z%IvzGTFJdZ>o@n_67) z!fff*4GzB??;Jl?Yn zKIIY$--vftztHV#MrLI6>GQtpHk~fv zp>K_}xJ2fDhd*9=8HU8YAN#70tWc`hxXAEY{^9bvW8yDris+ik_<%My-tE)`M))*M zpt&vUxW=IRs3%$$qHinDi$2Czb8tmfhNP!^#DCP()I1EG)@!w|$L6}SV|1Yhn=aCq zTK}^7HcLT^inIGIBfgy^OWpk2V)tWX?i-AK>}HbzCP}VgDG;-QC0?egGiJ^Do>Ke6 zRD1Z!KI|gcfhHv-5t<&4x}0RPqqzR#$1IBF)&^2I-XJL<2U1OcCqdYz%|)#0G&*d} zI1Ad}G8sN4p&e07*yr|*Ogj!&Ntoyk#6EoZuyE}%5oLG1d=DE~9XxB**%T!=DF+1! z;1SC_(vl2MUG&+Lr%!j5@B=fMZ`{D8Oo$zRh&dNfHLdYbAN<5Znt8l8fMq*&w_>jL zh<*KKUQUPuTnEED7;3}VD8j&+xS?_~zIUm0J#Y70^kw2(n|)K2gMwQYA0j<5Ky*7t z5AvWt%!KH}Xm3A4Vm-w%a&&R=u~7Gn`zZh8=d#`pUl0CURrH_F^3t@vdR8x9VK#;N z+I8;Sxn{Y>bY?Pjm_>va=#4uHF@lQqd;ezag4n#}Emm#^7&c^sD7chidGXYMtiP(< zK7DGAdHq#oLk2Q}xmz0ed06$6PN}?SVZ-&~8TcZZEXtXk?uv3FpuVoyW!;HFE4 z$ci^xX*6JT_VA?iOb*R01-}7WQAG^|fqr9F{GfY)cL-ik)~QHysT<R9=oW6|7plT1rxN=UBA!T+{{kZ%{5ic!LeAf1f@* za@*ijfBaVfmEDyZm03!=s2F=9P7*!le{h~{aI;;AkKc~R=)?j&OZ1pq1U|uQ!JpZZ zBcv7P%AH!3lY$&37)yz3*v^1+0~>?8E}Qf6E1iuIC)^-eL5wf5>wc|J8-}Qn=yn$F-HhV7g zhGs z;zRj*H}q``h(kD3TR&CUp(v(3~sF|7)l%*P5BAckvvpOFYj%$pzoF?gQLET#oVK8_>T_s(HoA6 zOdf+Gx*N#aYq+YaYRCSpextnFUzx)7;YX|5SmD$C?(6cD#Q~`3-9;h|gx- zI;*9dA47a!Hb>4=ZCLh1;z$JY2-M~;MZ^_*N_RN_5cTS8xQAXxgA^6_YfOic+Tk*F zdSge8@*)6tJT6te^iABJ#rE!0PxSh&WiU&6QM?$4%P-MQJ|SAZ*n4y?bFSRtNP4O1 zhDHeas%c$VRMZ!`Q;)_nqXVOV`|Tza^F62_k9l-!+%9fA@?X;V!5zoFDR(6jR#E>5 z>VNfKB5nUHY4r1{Lfi4YJ25|MRn9>6!jeUzWgB6tE@#$IXEK*P`a8+2dGl`ZQ+}9Z zR0euc)Lo3 zRhL3wvI!F%aXa}f*|_G>d0|%&y#d6U>9E?QHYqykpg2V+b!FSQSWr4YN^6=FR2}0D zL`x!6m#})!FLoj#qAR#XylaeRVntLyU|{S1M|r1V^=N;bN)g9U(GxK-JurO3CP5$d zNZlr!yRC!hWpc7^wpX;>7w>1;<)0h0l*JJ{s7xd|&m#a!W(?w*@umd5S@cPtgW=KB z)5Gtwo!lY6Z#0t7QsB`jEv>Kql`>ZZn*Vlzd-*$S$wJq)oZd^&Midd0nhq095l^P^ z0)ar0A11OI9YU(z~2Zrf;7*o8EUidBybCLtCK{PB{E#lMH8_-Bmy69f)!52 z#l?Nty^Oy~@VUT{=G<*Z`?+Qet)onRQCoZG>4?57R<9O|)=bUK<+s*i+Yp1JoK0G| zwJ-Ta{<9RNt9j9Q$c81U6WwWvv*qa+gtO2?3y)OGou`>%g$G}5>No=iB46Xnuc}rb zT5*~^_R~3nWOBT&y8Wjbe0uY~|M0&}6Q>T%Qq*&F93`3=C~@Y5YEFMctA}V|7b7Vp zeKSil6$YbSwou|Q={ca;+_k^#+G4TkleK=`*A<^ISh8dQ-84bFQzW9xLTnAd4>R(U z1@Q$>leI(frY&2p>Lsa=q*0#|G8r$SWgnd9C@+Ei?tOEBZo{(M6TyA3U=L( z7y4(I_)JT^oS8~U6Rf-Ncvn;N<)`S@)c?M%*t~^j+B9+9vHM>07;4Q(bWnM92LlZb zVYEyiF_0_6Gb3}qv&YwuCV~;$Sriw0YG@r8OGy7t-l-U2DqfD0FqXDIZ8up$nL-Zx zS=SXybS5clZ^1Y%tt3@+{82XmUmeW0imODD{q zvZ@`^DZXN?eLoPOzw`GTlLtY!?RJ2!ebK4y|FnAjxNkHw;$A@@R#l6gP2{66pPgN) zunrI$MZ%SM(Z6HEg@j%aAqAB$IT_0IxcFcdA#i#_4lgDBqgspI zj@obj$J!IR7YINa{8wXUniRvkt7Ng&PGIZU*ZX@gmIXH{o{UhJ4ChUY&E$& zMYPt@6wDZ%?odwGni44_iB^4@g9kQuC0wqb;qI&{xazvAXZB&ERABv+faTvLSc zHkwb8Z#Ez$7=Q1ARTIRUvn;9Tk3~OUO*Ah4*8wL z2;QwI8Q^ADmdoNwVT!;bqq5CPvG>R>FQ{<&L=5YUt?4A%F7;+f{aZMw&`CUzi5*;? zfgISAPVYdVeUI0{3#ePA{=ti^--tRQt!-yr981lNn&SH9lbYn({rkN|*GGK(hWL0c$}2ya=H{;@&`;Fi5~}DdE^e0s6WKRzGn+h829W> zm@?6ID8{2OETtZ8NHZ>!)(+GsQYnUCJEE#f&?^kdcb@(r7SD1U&sij2ydTe}>?EO^ z|0Pz`e&f~+5{uPHtII$TyuS^hHR^GvhQ#g zI(URdwxsA*inaW$0t1~Uo`B)w&!`P*bbedZo$IHPFufa}U!z;;a%^cGT{4rWG6787 zg^UemOVR0XAp*^Ih(57qE)%LSqaTUGgt(KT7&G3qzz>Rp4`D3v!gnVoYQ8BE_Xji% zniaLHl+#k^1k-riu8fsCVO%P^8fZyw*LvcKtK-w~}v56=2!w({ul z!?iu*w~L|G*O%7d!x_!2UJo&>9w*6+`ZhMO&>TZCEj?g9p6&b-qZ2RdD*e-F-FiX@ z?&8E<`F?t3MFlciXQl;ur=@L+l(GR7QQpe{8akXJ`}Xh0a_$YM5OwtI$&=fe=_v=o z6ed#4Dd#^dfgqq}&H@-owONOo|J=TNY1c1%i95o3gtzh}<1Caiy4UH$%i642vzO{} z=jh$gQZKk(Aex={w<4ReY)3P!Ez&Xe7ob4fu+75yBY8o>xQ?j*61JL;MssI- znQ!?56j_oKIHV-ZVxI5vsTGeL#StXwcL9W(yQl`G#dzrKE6Stq&@s9~kIInS1H zQR?0O!-o$>v1Xfw*NGdzT(1RByK>6%M*kzPhVSFpeCH))gO0VFRA%BjnUWU~f4`s9 zHC8i~G@x3{USO z*0vW6n|CzlazcXaTgkOen>Lm335?RqfRtn6O>bw@|EUsV8ARA%Xq2wEJ$2UN%H|!T zZw;C3o^#~4)tUTb>+&ZMFw!;i4v#u{b2B|D?rG*T*+YbUJW2MBAFARc$Z}g7yRM<)2oXG0us>yrM@1BKtc1b;|FSwc&T5R2k1` zPlc3jji~ zxP?kl;)ToLB!9jIV7E8s6$`%^Zudu4YrD>5x+dtEc8jyM%NtnRi76jr3AIM$_LPU} zG&8m~U>y*%sUn^)_I=ziNTg9Xu{QxYM zYKdiA><>)(RASr1XOPn@nl27fd@Jg6aSw5BD;aWaKuI*)vhI&x56lX%onHn8LAYCl zbg0>!@#%^EZ10q?wO1b7T2D!Qku2ZCg??Or{A_9;&E(r&J6{j~xPM&PVZvDDzA<-9 z-!74O40!jVt3=W=zQh#|_ zRi0X(DdYBHd$+yS*eY^2WDhop+Ffk5RV{na#yJhCAS}1nCw=mErO2pW4Rm3(mf5@T z>t-vD1<9!`>08JW$FG~P=i?Vr9+Q~rnCRL5EojR(Zx=x{Y)UpaXO)SeVg1vd5{Xyc zLkv&hoqLY|8F$p$4ZHA|RNt}h zvv7F0d%(uRNiKVuIO)MyWbE)cWYHM@BuM(8ynOADO?RitdX{*%eXa8>TT3A^B9Y%uk2T ztO)0oc=ktIyEjbtex&g%R#u!X1$u1#ma*@U;}PVZg&tH-yd@M=8ig<@EFWR2>( z+~MJKND96$Yt>WU1rV^*nmz{fo%VnO6}07+CqF*BhfClYKE-NyQjmI@#b%cGs8H_R z_W1JNWY9of9$IOJ#mjY!*5Al{TMd)7lD17H*BR(rKe)e+tK*QZ@8UlIp-O5tFZ8Xg zC|wb@wvo9|e?ol8UY&VzL5_Gs`^P>xXPCfD-)$3K?&_n-Dbx)A`fjCezFOk5i$(Go zK`sTa4rs@gggK{ue3UPvk?PO6Pckev6OdQ@xWmQVVOc+Zv~K@wLJSGUn4_rAFoQ5? zoT7G%y=HddrO)xD95uB&zE^Zg}{{G_q z_~NY2KFrmrtUgNH?43*Ba~9FrN|5jmBf24c1&f>wr#Uj?<0O6 zJ#tJR`@3X({S@t(W8NRDN#35}#}9Yat;I01H1_J-C>?N8GB3^`VaoWL^Ou}HJ~Yv2 z*n(VcO`;Cq;mBq?m$_AwXoj(a@uPHPGNfMCs|WM6)j;_w9^+<9yU+l8!@|8GE31i% zzs0*KP<3)e8bi%g`rc=5+kV!%&2C7g-NWr&eD+=qhtA3?Fyy?!I1gY8rTAQVZ1W?1 z4*AAMW-BW*Wi)QnGIE>-ia#m5-@pQhi%nPe+IUZe8&OkyzY|d^C!yFXtm%$+oU2Fq zp5awALc}_z>|UE#I+n3)%O6>~l*$@E;O2&0Dx9pXf3ej0sfa2OPo~~JI$_N4W19?X zldF%Hmn=513?klTJgXrEESpf_KTVUyv_ppuRWxU`Z&PRdB$fO|?}u%Oc`E|vj?D!$ z&)$za9zrK;}r$`qX(eo)RuBz{VJcEu#}cdwbU?XUWT?DCO*!FcmC6Q=I-n@ zIjQ8rr`-eB&BAl$TP>4W>iuPO=h@ASdpQei?62$L&XV-BqZ@AZUk&g~_RJ;LPnZ$Aw0&iQdpc{?xJLM%38>Lo8V{g1Op?dkHg0ZvFQN&vek?zIE zyK>YiZ=`HlZpsTKTbU(4srmu;hUp)7s|r=r7a0tNNHfg?o65nA_OEpl8gBOSUFO+x zLqRSju=!f&UbktZxX3B4@|L%n#f&lIRY_rr9FuvWA^!Maw#C1!WjO6Ykz{U^^0q3k z*2J2h)KX(}Q49r3lF=6*e0mi$k!aMuusZB0Z@dpO?oS?(__EGi&$j37U#&lppt8Po zUINYI^x@vj>e`gLJ3OYtIMk}nU%K=8K=f|eY1fEX7kaaAM$>$4!s2g@AsH1s(H!n! z<3kf`gpOdPic$`Kuu4T*O>D|V4&X|N)+~?9P&?`m4=i0OR-6(QEF%3yA86$jeba?k zH@yiUFvu3JEI1NGK~s?>Z>@SI3?g{OmJhEFs$D7hMI*IdZ^JqS<%FM)tW0|eVOE$-2cmy79IcA!OP7fNfk87Mg>SQ1eKzT{P6RqLYXWKHgcYP;`eo+CTeEe)#T$BVm#7@^ zJV25*-9E(i#dg~ybLQ6l&|mY+GiM10Xq~up9f&8MOQ}U(d29GoOVyqm&~5Oh1uPn| zuJX3#E3Wc>WOBvw#@^ph1O{!m`BQR5!0f%tC}#^fm&dptqq&j>WI=-%Hj*ujO>N8* z5B|AZQdnF2`vD|F<3W9DGxusS3|g`2=?&Fr>?q}*$-XiES6`&qcGHkZu1RkyS?Uvk zG^HQFsUJUW_YY>}ZF(pDmmQce45+1k;Fx=3u6Sq0Z|ColFU>WF=t|`ZJhs`{L;14D zy<@37)Ev^pBBYNX!#X%J@i=ro+?}Q$;H#0IWHdg#KGmhnZ8+emKwLgrYGMyc@NIU$oJk%bD`=}1pA{cU`X$G4 z`orcQKic?7CFaVLHIKK{#9Siix7%cvF8?;KjDbIWT^glbmS!E+c3B4p;-BzniG8y8 zA2n10Dp&+y`BTJoml++Qqc4w%7k&7%GN}+#PR$|*zr~aCOPpU@R2SZZhMT-RWd2TOj1;!?B7=7-#@p&Sp z0e@WWnYZj2Y&wyGH*Qb24Cq>HdfB^2+ue@j9DD+fbVAkPWdyLc2)&_o2efNVb%u<# z{oT9n64!dTK7yRtpcKr-8*zY{Tr6*`C8`eMo+P(5=0D(DNc*Jn@FO?nq`cfcP<_$< z*^8`_oj+ilYb_u0OWKW@kr^Z{Vp;5>YS0zMULt zd43}uztlU6$5+Jc6MqYYYcgfg#;+fXt3y{F&!vvdzpc_&dO~B)uhdHPpXU-K6Z3Yb zT+53mvn%PtGo)A)yS?<54^SjB)HoG)d9EZSPQ5LeSOm4K^vK-%)5<`flQKR(jN4ny zZCo=t)iU5qU50LMn`Jbd`Fxsg0~86S24q*2q9L|RnP&j}~cDHZTEy17nY$n)#qBwEk7 zq?GY1ud63ywX*SIU*)Ym`}IjC@M^{#%;3l|lmLE51AWU4$OT+qOENmG+#4%x%6u7)|7+*%R% z%qd^(v0L>qm2LaC)+P_f7cd9#J%&IPv_R>+&SDL#mPF>lNe(R}yon^{_N}$Li6ydN z41AXee@ZA@s(o}YD35}MQr+D}KvPk0I3$)jKVEfuzd^yas?e2AIYWK=Zk_4O;1m9$ zm5(eo7Pz;(^l_^UG6_(m{?4aR%qSVaLwPyK@tTwy=uOkDv4Y(?D#R_iFoJjh+7PWPHaJkd=MonJ@!SZ+ zDK;&Q!HVooaYi(oLh%$%+k{eR`=U3T^X@L&vzDw)czE&7#2Rrlne{nG;1{|kQ!;B9 ziWo9mJy{WuTp)lN-o5iT*DTGtB!Jq99he{(BmU&jliaQBX03i=AE!3XEA`#Q{QF#M z!)4?=easwV;M-_VN-Sv_9jXwUP9(^ZkNNm_MhjSu6k5m^vRY^9r_(sAr}n!G^8K1*)4 zWwWRkVUDAremKu-Y{$u=Tbmq@oqMp zM{hl19~+8x8A0%w?Y?{Z{(hrR6~&6VS>w50t0E`FrF~i=YI=IchlOS=a=ZD*Puwv} z<;@yifYB6`w<_fMu_gjPC^Jxz+ zv~`dVK}L`Ln}+E#)Op>z9BWqE%5}upHxxEjG>#P3VY8 za5{>)1MJTqq}abSCn@C`2UygUmE@t32QZJO_4_5H8gP`)tZa)n4an z5hv=-5N?qcVJ2_Jz_o`^gU=G{BDo-u$=q!7c@y89DR1TVSt(1bYX4#l1YSvu7Sn4Zh3dEjKMR{!n8^0Aw^zIQeBFbVmM6g>6P_d^Jmbv_m? znoxhOv+vr$;<5?IRC%X#(}TIb8Xk0)JE9z<71iKmn*4Naq9wn}WRUs2p>??J1lCf_ z6;)zXalJ0A1aiB>9w>rATV9{+ukGvrs8Xuv8m!N~g1|pYt*A(M%w~GK{pXH-eABn6 zW#LZ(QtRpq@WM$jSFW%)!Jm4}o4gNQh9ODpzkJtCD&6ERyZTa;TO4+lM--^69AJa_s) z-cK_JE&RcSBN&FeQ)4U)%3zmg@vf;!LozBKm> z<{TPe&fV$&F%Z8w#2B-;mrShOltQewtQI-iA?f9AQ7?;RST5r(w=1;+nb>!H4;TfI z9U12m4?Y6G7jcUw@YJGf36#EBuLKW7^-^Y77orHmJ6}`x=gF0a7VUjCbBNn=D7|*0 z*8^nM&;f2YSx_tRJz4VUK|mow|NH;|)o_sZT<%^Y<*K5YQxdPTu8O5{>Q>c!+H;PR zB=w6HeJqzP)mH%F$zGtGSpmtC3v>@q6uj`&pc~IQbw5syb|+Bl2Z*9m6bScDW%YilB_1`lgeAwfeR@n9 z(GoD8sy6VpXLk#-%0)`s;1p+HwJWoz^TsUA+$9QCSS910P)JJYqhc3~r~u>?3LX!o zU6({vFs4u^P;hA?(yR>M7EG2le!W$2!Qp%qo!quZa@9vS&Kodp-BCqRUWvD=mZo)byc~GE1)NM%i}?k1xJR!9$%aP2Lv;S4ds|v^fulD7$P3Km2HkWx&r7@@WXeO*vAOo zy@GTx(!+y-wc^>vLN%B7f%7Ma3aZ3KMq%Ua(Smim_+(9VkhUj+G62#t;0)qif95)% zB%@_Kju>Ap7>;3K4i`(d1Xh42ZVNJ#v;2lwd%EO&z*8bcI^ zt7QM5vLH?&GWKq?-u7{^hG}OnrMrTAXwldH`r*L?;V5dQ9-N)fdsYA(uBLd3$1(ar zYw13GM1lY<7`9rO~F<(P8K}BSiDkhVg_G%l-pJkSI_K>X(W1qV>olpDpr2hn` z<-k9m@@m4ZRV@F+shIuCIw2NL`VDP7LVbLNO(dO=BPJvIYU1C(6qP(){1GL6K``PT zj2izf=T|?~E04NPZG@}en=K$qsN=ZM=TYVI87z)-)~BRwm(3RZCK=3*_^-Y@ zCAY0^F4F^MuMpMplz_jR2 zs4Ny$O=dUGLcuu*#(!4$=Kd9ZGwd-yPB-= z5puy%@ptPxfnKW#w<8idz;F7O+AxU3pY3ClSM;3p;V#ws;MEvlL>Y7Q%Qgae2di&$ z%}eQyIi-*jAh?=zXjQHwv6EW-w+QJ}oDR+ms>-t3D1ZQG(!e_fLMoq_y|)@-X>RCdxH)|? zexM=;YVK&saavgo!%t)Ac|!*pFy4G!I~m_{oRFM2wcaU`1>K!RYE-p#b8b{G5P9U@ zjDdDw3+wXP#d2C3%5T0SX1Vdze3zk=trf4rsTvhaP~PGg32vHgWfdX$r7*D4v<)x)NpIy1Kcg;t$V+B6S=fXu*(6<;Z5d|-FOsXAOlr2f77?0 z#noj^&p8PDg@XG%Fuwc`)z6;21baf2RI%Rki}@o^Lb zx=*%$qZRmP0yrrDtAog}prCMSj*5=A`O#!~N2tn@H8}%Zw}XO4hSY^l8u{?k(tG}i zU<+}V`7&_^#ZnSg?T$LU_xV5kn<31j9qY|_?Xc-;qE-PbU3`D#Y4B>x1y(svVJEY` z%c*RI?cK=vs*F5)T)D}N;%yA=g@((3hXuIUE)hZGvgLZX0fY+#n=9%x?;43D*e~Qf z;YsznsI{p@Pr6!#%EzhQg+yk*95GodGdC?1(E+h6VqY!X5f#e{h8g@SSw zXH-!0B+0c|oyr?gyCcZEy-VwOGx_iR%z3%g7Qa%T&#dLa zFikwN<#B*snGmTt`uQRQFZXDF4jwzpXRf>x{@ZFp!3_y@Lf`53=py#@Q9@%8=s{Jyornq11Pz;$n^WHvYe z3x%8t^=Pr;TcO9NOKqPLGv?x^Y7#mSmG1; zI!nQ+M=*0x5Iq5kLb)Kp1pex$;}qZAN^u^>MYV&e(eFrgfF^6(wP?37&~{~vIzly> zID4DA?rt*PdIvzvwCfMgZA-r@#BCy4OvIy0 zjyYTZ1}-s0O%jQ0M|f!&A}j4JE@K|h#%z%JBRVOS2Q<>iHc5Cd8rlSbsz3ag(aSHe z(ZfZ}?$Mm`Jmzqwl$YjTALNpPZO&FQMKyHQ$UC~A^^K$&;KcHXA`a`oj&RfKTJukh z2e_df5ZDZRcu9QYDIMMwn@B6Nz0ibVb6eAAOG)H@5$T5nG`-{dq15f| z(1K8dPIWvai6nZ2cq2e=Wdl)t|9||Ea}U$&KnBbR`_l5tPXrMb#i|P(ugtUkt0?(I zE&_oa6Zl2wXChoMj%EDfsFGe?uSK0avtUHu^txXqi@L$ZV6lyXa zB;V?pgEt#dum{2ZX>5KE4|E?-QCqD`Mn1oG8Bkc)wF4y8pB|0iZ}@T@SHX!}Zajio z8V6#<-D$lFL`;WI^so!+E>YRnahepo$zYT#$*yH*^aI6*z}15htfCjT`RVjaQ)?iT3TVV+-}KEF@7a~@?U63Sc{v;^v>6p+2@ z82~%3O-bGHHXN`yL{bH3G_nEq6OsU`Mx>+3uLKbd;-mJBd)6vgE*P*&a3Jap z--Nh?DZ=b!y)%cPLqMwP)K=61F|PS#X2$dvp9FKmN9~kmtZ7FmCo#_i9_l`gP!6e+ zDu@kXqY?%#Aju8s=*?!Ou=o>@bma$%G*>wms3}Ye?~V$6mij*WSh7UrkH23$wRgJf zGa3x*Hf2|nRl^hoHW7G4TpZZx*(Vo_c(CH-9qqc?G%r}|Jg4*+LkC3p5pfiR&?|V_ z@}tD4D$+#jx*;n@^TVl%xx&ao!4zRyM<>h}tOxXAXN*szP7P&rZgO$!gYa)gKkOL? zg4W@cv_b+4GE0yIm@;w&1Hr$wp~B`dPS5z;4XN{)9l@n-gbsK&>(yZAl9$>U?GYhX zM^H}%CY%rI!cJ$n;to8-Mz~ekLUE!{9FFHgY#UiD`Wt|`@xy|sm9HKGci5VqqAElR zq1|}2=3C3v2v3=iijY*}`WY0G={-L`2+vEK0mZjB8$K&vs@oucQK3NnGpkQuNb+3E zvly9#@nFEr2Jb7oPhGCc2SN~=$OAv zgO_Wp9zzzA^ z^q&Eq0~GDg$IlRQf6yY;YxDnl&x^}WZ4>&~N9mX_RGr@K=7t%My`h}9#b2+^gy68$ zNk_&ugtbw+^BmAEPHcH==Jq<5_d8_NXYp8r$FCI0K{ghXOuk*!JNPX9s=5^(@IodI z2PL{wJ7S_S04%!l{UFOw<ciJ!)Y*tTp{zZD6bdtJj{AcvF7HS2^wFUB$|>Pils!^Rgew>8xGk%i;H`#Z zRU7%~;WmUer~CTDg{ojieSAr%5oE!Q!YnAeX#6$5qkmr*9*mqHPx7H%`n>5&)KsH> z(U1y5j*e`?uV(U^Gf=EP#FOI{q~g#uYSmL;{2_9F_}vU^kAfJh;mGemYaRqZoGw}^ z*f8~^7du3)L8DnA&g$T_RbJtej^wE;Ez>O(y(ZeR{aIb!siE~dLSoc}0m(O8#wRU* znOS<+-YfGN_~q2#O6_O*E)~yW1xc`wqFa+PEEOn4Ae%3sVEIv@nuvcpPwu?n$lqT_ zxMBRj(MKRU-)ueq=XoI}KPmkTEXQ{Yj4{_K!&n$H-h~Jyd$o!Z+47{D4E+(`OisFq zkKf?>@>B1Qqa);pHz*(-v=Y?7W88xv_I(;yBn*mW>K6?asNu!TlRRW$RM=ZB*hOjY z%x2StW;|z?h8Bv5b9aw)Q*giFnwqbka;Vjv+FE6ZC%;X0OBKe%i+asgB}|7^`Hc`- zt1?96nO~x&&=BbL>swey1hc!^^V7Fkfb)*;v0l z@Klr+f^=v|g^jbT>fkX^E{}Jp-Q`-M6QoL%!mDzpn^H}|NVzO0ygy_6Re~LfblB0wap=QZobL7!4%ms$VH% zr0^LoR#uasHib1ebb`QkDjzN;;feXv6_$3OK-{5kziWx_BS@6`(+jEmM92G@9*!K< zvxHAk30ZMdL=9*(YXTg^mTg$_mK-fW={-O*{f?T%QSRecn07V#yRf+pzd3Oo1$6{1caB#-Y$ z)~8HDYsir^cQ^L*04C?k{t+TW z8_17WihQe-g)?51-Ev>5;ptZj#!{j?5h>#~pl%GU2weVihW3m}I7Fd5p7?Ar@?`lA z%UjS`?+vTT2V;c)$2KYD#Sxf=d|~st=_bl^mAKRZU}~zN)^L4V(?u<;v0)wN15&Eo@_==EH@2OgusQyjvf}c?1zsB1rOfpG(w*Mz0AVf5u(u zKWWP*;n@+Y0&mB L@Ap_en;riL-zx%6 diff --git a/reference/RunEnrichment-3.png b/reference/RunEnrichment-3.png index b0cb4b87e00c8659f816b5bac09c0bc767f2da05..f1ebd3b90e08bb0239a40e330254cc9aa476f072 100644 GIT binary patch literal 164011 zcmeFYbySsW)IGXs3>u_Cr4*#QK~X?T8fgVlKtj4p1f@f|6p&8o4izK>q&q}Hx;yUL zM~~mxB z!gt1^-*3Pd%*S%lQt%Z%4)4@>!j}uyG7oJL2x@=iCraqt<`V?sDneFDQq3uGWy0A_ zeW33Ae5g&Hu=z3bd%>7Q5ya=G5lYIpqUF zL+`co0tU>Nz1pY0UQYG8ipmu!@zvVHbA^7z_woY$g7J@CH<3NM<)3+Vg9|HErrTXY z<}c}GBmV#Y{*MR{reY7HxQ&m#qSw|oC%yVRLJV4L*617;ViA|IY`j<-Q4QHPH0Fx) zqRgImWS|@mZR-+iUFyWr$I8Ih?T#i!xz9Yt?fr%`F;d?-*8l$R7+a`mPCxR&=NdE; zv&O{qeAM@5ok9`KrPR7@=Rzh6>?`xI-#(I<3T(-~dh@*H>^1xJL}WaQtD@*>uQz8@nW$vZ{wCu)>{!)@ zQ`ds~WA0c_w3~gaN(-4SEbC&;IXP<$uBE}A)SUI2Qr}}ot;f{IJPVATu+sW{>q|v@ z874hLT4W@$^vpGDjF zoqY{6zt9CVSA6tb0-uBsYDDMdUDy2N;${@9fnti-%RkjaV(wYnmTcVb{lKb5`bppHmc~-Tlj^;F(q3p9fS4uJ#hJGs(x?OeCThqZ0wq0USNKq%U z54p3c)o7__PyST%?dEF+Zw+hwjIj$J=-tL|=2Pnne1Ar_yr?QXttbEKc(CB&?&=ik zuH-C=mCM{dZT7Aj)XA4wd7?^vdne7&ZTF)pJ}B$I5!yFbX)aul&70L<>=o}V0}Q_f7z)c z+c~)1e89l|nl5ho|l{I%U3*?W!03q7$hJX{(SO*zXsXLOJAB>!ag2b%uNWXn3M z4;dn>U$$*1Yc}eT{B)<5wlHVub}k87XhvCQq-ancI(vWiv_iuD0r#}U$^nag;VsLY zjqY6^mm_+*>4_^8CGXXH)Y))$t#08f=9CU5>i&Ltv(%5;p?#4Y(u_^P6<4uo0-48d zmet?>_O3i9+MR;@+}+2k=$g)*RYg`^gIggOmM9u6J^ZLa1tJR^KB5+`LpiLv+xi!> z*sqL8XgqOcC=&FuZJs$;^wlKBLiRogelTW#iY6w!KekR;S=YNDoCh?7xa>>>@>r@ui>>1a8mwL%7^mb?p!{)Vxmr(|) zUVVfj4%bT^+ylLCMy=j*@T*c+8L1lGwV;@CJP>~z%T0yd`Z3h{R`TUCC98BRW^4P! z%?2X1KTWT6j9d!;K%IIWar#5RQ+08Cl%ExijL@Y%Xm~GNfdTsh*1)Fjy=S#I?L`c9 z9%Xsz>0G6+7W4Y`p40y`$K>Suv%3-|i&ZjD^pt(fCmtZgqvORpgeezme3A+UqwnSk zGaq;7FC5Cgcdj7F`NMWEq#uSs{&mH1}Jad8}r3fnHz1QCO~gQ9pxvY<-&yR{oj^k0k}?LNX$3oXe9y*9O$viKT~%3www`#R`&FlP$wJwj`ZYbS)3^^InnjIO^jh{5NTQrh26$~?Y|I=+RDpS_~#nP z5-+?hF_$6hP)1K2ZX7mkG*=+2_<%YoHHf8f$;tm!*U0^E*3NcRyn2*o{KOkHn%#%O z%%Kf~OH*2nmwHHtsigBm@zFp1K?K5gSR2H}Sax&hv=!YUk5-7M8(yEA25U0JZf zPL5)AefebuMlGVyx9hlDyE}>Wj$Wj9!TVMmjM|%xrI;-) zF@Hnp&6``;mI4k;8#GM;y*7rT8_befuINn)O+TV^1ou8Q68eZ5RuK9I^P^z(SZ~DS zdGRanO7@{m61?B$BdQ%NIzu1wP<*17;GNy55DH~sY#PWoNes3eztu#3K3+iK0iB_uCZU% zAQ6a0U8pb{@Sgg}jebfffd2LBuzo80hQ#6_;nhr>Z<-_i;K(CtKq{CpgF+S8W#ExiBl`F zK~au&$NNyid2U;WC1nbYOge0z6+`S9-S%nG$Mx1mTZKGX92wJ9)IW7YFN}4duc2{; zh)I#2oxSio5hgCx*ZO0Pb+U~cJxp(Qd4F;^m^clgnlJxyd?LD9E|wDC=B4>NaMTa4 zY{+@J?@z?!<>kdHtqc{?qG92pf5q^K4*K!f+Aix<4ehiX!LCt`Mbtk|Gq1}17ggzm zFOv1tI9j>vEE4Ruxvtmo-@JJfv49$Pp@8*@zlH}Z(=cAeHFp0|42$RW%8e6^T!xfI zUWQ{qX1qNu%bE9%brRD&$jQxlWkTupYbuEzAwQ6werqYOw28CwMB-gO{$-(WMo8?6!C2O~$>?&V8J~oH#+! z+T$sml{9&8{upsUQ^eHNK0)lmO74Q1iOK?WPGe7*>fbEt54S+Q!OCi}g?Mkv&-gCc zN$Sq(3fYnWoxzOSY2!{uu??~&zRL_zwr|mvy`ExQ_VA^Bw9=gR6<8v{to@Vl!_lbE zM?QXNLwi11Th*e)niZ6kYmD`|r@=L=E`z!gOLEawdvSA9f$C|+lSY=`jW%S3#7jL_ zgZJ0Ztu33uyoYF#2Zx2ou)T^hxa2KE=l;nRz0i_r8|4;Sxn}vkd5b^|!+#-H^-3jS z(RiSyM!er97sHl6nmU8QT;clck(H*00>%+K7rmjT=WQy+obdLFF$iizUPKVJHOt>#7JW|PgJ$BeWWS$A8kmT zudjH-?>Aaeo_5&l&2&4|z_LZF=0nTg_dk#*)j-w0@&~JRgUEFcZ9gDK1r9m_;sZWoVM>vCsGavH`LPxvg#-9+V zOx!~>phcs87Yea46xtwqXTJRQ-+#Nfj3**{qjPn<%C^*?!Q;C(8rHo_7cZvPx$cLU zn3(u|n*7$NU{h~s)5GshoFVZjaO@^|5lNjKWgFK>*1yDdn5iQCnuFySy@@rFY&|- z2XfRA+ZQxGmhUJG3!wyFD35#A>FB)>FKBQbZ8EyRy&|%A6yx_T%gXj(IHAf=@|vkd zHtTu4eM`JI;b`EpyM)1UxsvV$L(7Vb17>&+|gsjn)TKOx}qmT@}fO1KY0} z1$@j8t%+LAevLW`7yJb^yGz#24IZb%Rt=}|qQfE7!UsbQXJ6p!)!`TimlCXC1-_<$ z8Dc}>2Z+4QPy#l&YJD2r3#(Z?=d*ccdIL0zGy zqfRLiJfU+pz%9EJp{l4mYP-7Xhw_I-3dO$&m+^&Oz~DAbBkH2Y+sfp& zQH_&-QjMSWEPXxoL5-tL`x`meg1QNgzwzq5u-KQa$^_U!B<7^3sHkph*o-x$&K#yZ za(3PCZ28V=^yuwWvDKM6x9 zSGBAOLY5%PzW;rkBDiX|bjpK1e*EZ*Qw=$q!%8uU5l#Pm+D`$eOv&_}0h_hklVff} zxnAY~z5gBJ65<1MQ`4J)r0j}cy+}w%I#a|OmSz+#kn`~U273Lne}JB`FtM_9VRQ`V zZ+(00D_(ehwE;v7rfbkD1J?BclcNEfCUCN83vxnby1CFQ}3 zxmlIzaLkqjCF|`HYKeQPf%y#I%W`ppEi8X)RQfW_1ysBbA3og06PWgrsj!@g=lRe9o~X9SHdhL>3zq@Uw%+$@s5?B0!@{CxWGOXGCA1EXY*&RA2wuKT4h8nYNQlJ~9M zD49dt2G`9sssAgKCH6-4j`sHJ>$Tg8c86PYFOqb%wcD|1-5!vvT|sO8F2s*uLA?j^ z2}jWXGkQ9Kj|9J)?}tGbw&0^OyVaT`KeqbcnA<;jN;Rydth_lEDt;!g^@Y@c!}u#c z#QZM3%D(@YoSfXl;>Q>e&W!YQbVHIRg+`My-H{qCtjl!Raowo(3PnN=xEmtY>^&!S zHzLwRhbHH%?*37l4p>-d`zW7K;2amfr(q=tJ2G-}M+O93EVr8KY6+%%SYb&`LNXwX zFM@l*j~Vv6^GEdO^m?5m&TynC1~V$n}%V$t5B zeb<&I*kGUb^zzPE`S9mevbE6#g0J@H1>SG$Maa?~E!={&-ot-^X zRDtS*Nj9ndN-p?C;2-&BZ+zHj;PnYnZTIUo@Nf5{o%gDliZym2_tKsNm4SjNc006j zSQ$oX+QZ>TYe3xBDX`0a@wY&;7*Ra2s^{kCxom#Qz;Tdlw?S>YogFUR(k{KBt*=jm zGKs2)KFE}*d(-3ZZ@msd=%aHXdHHJsIvH76(_RTAdy3}`{FcCfr|8?K_hef+!Ouo( zw13~dSq)ebXyl*#@t*c)DJ$SQqS)Bj#0tE)F6z3MN8x%gEII7{Y$Pfbnh0(lW97AR zS9E^g<>YDSBQ$ALajZ%7`(D&h(k4_!-!3N&4Ri8w&aLbJm!tHT4iIE~kWCjaT_WPM ze)y0avK1G=1N8t$vS?JL8pWz_181rWaTf1Ym4PbFyWw_4a+)#_&zqBTZz6R1X{JD> z&%gSiEvm67S=5!wZn4J~H!(W8#p8HY+RV(1_~2%f*<^Ijg;<48Gi;5Kjk0a*(iU(2 zVq(BrqdMq?AR5tl8Tw6H{qDB5M~gl039gbHcwR_(XE{XlJPuJ5V2C&UfAl>XC*n$c zGAuh38q4|EP{I|)o}QVd2}T+7zj_G03h}k8yPJtAvx@xbY5iufRgrNU;r;vf6;Ux! zQWz|_zGAW!KDWZ!LmBi-Hn_V{-Qh)xO5W&+z~eFMI?tMQee#VA@9JphwmP2XzZO#3 z0Zn70H(I2SEVMyTa_V^9_m_;V$%MIU&9lkZ{PZ3w=};&By*rOg z>fLkWr5T-b{%XoNJ5;-f)zJJI$JM#Dw#26XQUCXS>kF%Jq<*@ESiqsgI~tBzXqz|89JyA2}QE zq7N|#PTRZF#$LR|R2i4>KU9ymQ=amEw9?gAvh4B0MSJB)E?ws$wcS!jh6UhVe zNv)t+!|lI|PM0kDSpLCx{=QN#@ytqrfZv($?N#Fe;zB%ZOOJ}*vMEJfX|3buy00?H~dju3u-PSfDJP)H42A6vI)H~n@S5yafiPZsttQSGcO~T3O~t<|mHrDH zH`dU!p!Y$;lua-`J=)DPXrP%^o!(7XAjS?oXE9qVp>#0HayQ>^S|%( zi~RJQ#aMZnk$(DgAjUNvtAgDpWD|-(YhI{GH^4CgX4aiDd~I0 zH#TJH3EPk;HBoIZw>Z5$|1I}o=oB3`V`PPzQzn(qK(p)To_+c0Hq2y$%a;qDKP5!3 zE2Hi#V2SLzvua~jzqa7jw@kKhVLC{AD)-&l-OQ;RBYocHe_PCw%oWs_yJ^ZMov}@W z`8q^=8y}x^m#x55UAaJ4>mMNnC z& zb^S86(A&Db(ZIKF4+e!T$I632DVDhGnt2gUt4+W1)nwsSHv4a=CrRw|#&B+#z`*m= zeyKf*MOIe!8WWR$f4`qmalTH)$7kQKi=7?JE=IHJTyK2Z=;-CiRAYUU=0E1IiG6}A zKzJ1x^V&pBU%n1M^bHv$rOeb+A8KKTq9+|!1`7?k=f5T7cCn(YAv|P@_6z=Ps3cSf z5$xxTS~Fuk#blMZi+vQY?ibr&{2|s3{J$FO8=p;6N<8&R$h5eM?J$KF4F~vdyZ(P_ z^?$#AQzLwkP2x{~do)&Mj??$6>bTLkR4L`5}eC(`@MAp`d2-z=50djtS_O`cIB_JRGX)i1f z6=v4f)|v$!Hu5%3U1&DQ{`Md3x4*H$@c{pg6jErqu2nHX+M4ft20NwxXo*Ga{KS^; z`S63?RZqkMnt6mqF)`C$5Rei_u|!eX8#cnb7eprM;NTF6sa@y73*_{DWhL1(%e2V~MMZ^-*Nhn2$2Xdyyu2VKu|wY|7R}p5;_HrH74f1){qlbcUxp3M zQbA5GP%)O{S}$m3U)*}@ncG)bwb6^nW3fAB7tvJ`Yti2QK0BcRD^&i>^mKZLaSSpc zyBjaD@G!rkC4bmzv0$ag5WsYz(o!gjI1mK}B~>@9W_ZJz&03t}(gDRV<}Fkjln|`m zS*i*Kvnkf9zkOX2mxJ~zEw_mqTBZKKy8xFD4-aJ%Zcqes8MRzST232S)6%jD&oeC> z#~L>uE?w9>fJ^NwS@mbxB9&h59e zvvXr3rExf25j)9igoi2&RpdhA+n?Gwb{LcBdsgWNI(c<>{x&(+A)HDc!Z#c?Kfhjy z;{eiHw?8R-d*i}k3WIa?viDiks(Ryl2}a5CA-n^lto2Cr+_;1#^Jxd4RbotykSJ|I z&8KiQxev}4o(UK|Z-Z;I{Qi5Op1!wcGac>YgSt2JH04S{X>D!d`EkQ}8U*#C8=6+M zujxl`R&?)0hj$1q9q9&FZ(5CVc61t<+pOxM&H@hf2cae1v(O`6^SdtOCm%1^&$dv+g}a zi^ObrC)s-=IamsHs)jn^hE%gT=~fl za-_Yzy+F--BRIZ*quSxkPWkKDCQC2OSGyVaav5oVUuOQ`<#A2A!HhufKh8cohj)sNCu)AYnUgoHkzu)!8z=|)Vx=ImTu8s1( zs)JC}E-Q)p&bc**cKo!qiWipGHh77}jlGyh6(2^0dH${5vZo1%`*J$$M3=wS2{zq{ zA;^3F4T1UFZDsVfPe<{@sFy3EaJ(+$s4E|+54!tua%tf*>67*Q&d}9+&?7$Gw-qCTm)xl1=a@@{Rs8+GPo#5F}0h)r_a$I22ZCjz*VYM9` zIC7q64>}hrOjc|Do3rX*(KucG_3KxjPDKcy<&_jqz(4TUa0P$jQ)s^*RgYXiFUYamxMAxqCb&?%DlcQY${`sB%z%j8_XALL?e zdL*%cw})PdbKF}QxusYAmZhN5C&8*-&~%%agoM*+!w|Yj?!9BN&Cf)MFIvcV#l%5+ ziJk7KB7l9u8)t2v3>O<6E~bU%&}L?4@(V4X;fXX>EhH!GjH>hhRUmpG`DgtoEfGFF zWej^iCVqROa0P59JDK7NOS*!Bf}L^P{@3pK@eHre_|qynA^oY*MP+^cNk;Q2y}uPc zA-tSdaxl-|&;~Rjmiwuq$^tVh>)h%76xKBOguKvg6qno(qAojzXD5du=O^2VE=$>V ztD{jnJ9aH0)E&D+2Ho+z=A$cnm|%(RHU4Ei*YdQAeK?I;iYzCD{P1YI^j%k@HUuF@ zT zt1nZ@hdDaF>o5E7f-niry;aq!cN2v98+e&q@a`%qKaM3_Wo0h}USWMa^6?2&0;5uL zXIiM(eSLlX2SjJXmZq zcVDAGR~CFZXJ_Y=CC!E(sex=ZI+$fQ|AqLao=N8gYRk$Q%nZdO?bEuTpv#~bzjk#o zva$w)9Rmn*lbQK36o8tV8X_zy>Dwz({jchpdS3tmzH75f=ENYCQ2z5DpWk#Q3KDra zZ_h)*O~-cWl$ntr84UtD_N|8>>E{JIIy!!hlrVwofLJLT(ns2Fcb61f1ZFr9Hnz48 zp*R4uIFrOJMtN|BSBfa6T#tTb3eNZvJubNReWV;ejOR#b21qH2(;3AihvpX z+I3v3;04@ajIPZE&y!hNZ^I8AFbQledi3ds6K_oybtsVQ&COQYp#yy$iYI^>ZYP_q zow1xRk%t7ATMSefs*_B>`s!>;@a)e>rTMRPq4X>)ET+6-8;xj*a2K4rtSl^a!otD@ zo0MCD1}8q|g>?=w>lJhRhVJE-6YcQV79Fd)FFU{b;vje67LkzJ++I z>UIZppk9iPHhnNIX;oTZyW@`=>>M=TpS1X**$DA`xX2rd#})wYi`^Nu6u85}BFeL4h2}ZUPeVQ51aP za;#k#*z4r(wjMRj9B}Qbb>2o6IXqze^MS=a^)F&Zs3l~3RcK3;F2^@2n8*bFqVZoios7G1tv$oa;lkYW2N zFJ!Tz_^BP#UzOa{>R3gI$u|mS=mAc@E^L#77GKFci#L$ zs#6oh=nB~45a{IynK6H~T(|(APr;H$9uyMZK!!y`N8f{RyRMdzLVaZf%DF9|8>cHO#rsKM!yX1?D2KvVYhrkko6Fm7LW`808K zORLBW8D#PE!|u)K5ysk`UO6hajV61)nuzql?=Z@^7fkWRv3{FcQFK>LQRo+a{cgS$ zr}ebNC%rNjBPR-q)i+rMPZP19DHap}sftl}*$ieL>-xBV7MtDlhl=sqM-6%!6R zNwg!O(l1_c`qQ}FfbgUG3`9UgY4ob?Ob06;l^LkkLf;kG?N=295G9A2fKb}~>U~vO z%5yy&8#$DNHnSitenep4zDt4_(syNLO0>S+sdIs+qNO_h!w24Ko1?6>kRK`MCrk(! zBO9Kd?uVL(>}}B?F~;$sIyCsFwt%plZU@%Yu)*P8hxE7M|Fnt>QB*VJXU>k-pF-DH z$Pv|OJ9=mVt)nfHNmCq@Gk?Xn%_V877wAa8HMt@^-FJ6+s03WZ45gH=l5R1|ee-8| zdsZIX3B2_ccE42CYSzVUWEZ~5h}|q*QFz&&WoWi@sa&y>+%WXP2TRC9+#5aht{Kf1&8n+EeP*-;p6>*6eBu-Aqj$uxWBDv^$26RLxNG)2XCtXH;p5{h(ORq+b_0F7aj-3Jb&H>ifNHMUfn6Qr zr%xl3k`z2V#HP;nDyjg(oZ+e;kBTwGiMM8)B@&&VpokPP+q|&a=V%@n!DPw(fvFdD>+G$WVfd07LQI zf!?sfhO>C!!GzdiafIv9T*1Hqa=52OfrXKay4c-bxbFx5+Uupcgcwhij7Xo5;i1UK z@*)C3>$LX>G|FGk)-VdD#{CHj+Y&ChZ+hv2i zrz71S8WWSX&bGV3Wk1TG55q+$Q?Jn=WeG&}0-mFeilrqRQfBPVZZNNgAkQT2`!oA6 zY!0*j8^EjUgaC_-jg75;ykWBGm1W}1pVlC*H#%PTJU=#>5@1#4vl#t+iM>|himCin z&Rm0pABIN}_b)1mpYlMz4gHlk*AcVba|bUxCgDqAfdKOiZ}6xqo`>Ba3NYsv(4m>^ zRsz|oUxUW@2y0l|NWPZ=MxX2c+PH1EC~|fX$Nkjia4v?av_K2u9;m7$8l{|ekMqS3 zDX2H`mQdPmXj}x_-GvNMF)^wtD!0K=+ojc}&rU;n3a0#9(4I6r?M|PHACp5?0|R5L z`bmhGgpDYN261D0!Wqz2=sq<$p3oh3_uLoX`+Hp#5c(N*C!WW^T(1vCAA?TgZw+!{ zSat3_di2QN9dMqJz5d{_J;!kJD%9V=>PB#@Q0m?Wjc%$*@I20(9_$Ztm8;IyoDSV*SmR zvgsKa8?bJ`xH9j$-f%94)Q~U+TYwIvki>uaxeN^3`KR2tVZ1kAf4pYY(rZ{5nn6=#RA1FJ2@wY?K=JuKjMu%VGhe>nQd zl|$rQS(^Gw*tI)^`bs)i^s~n!ymgHxon~x$zGboFsN$c%<^xaN(hyF=u^6iWSOVnvB@dL@oeSvkDd@dxrvVpZe?za668JdRk z)Ad7uLq!dZE1LSw3{Z+f-D1bLU_dzcU7Gd@7{;B+q6zD63&O~CtuISC9eb-|f@_tt z0x&^~6|`l96oTa_=%j+jDDM`*b2k(f)y7B4DN>CmWv-RGufBAg9WXs=&Ug zIr5X@pRgkWfX`PkN`-RTNTWT)_R_Je`p^|>te7HJcSPEAiLLUT>~`rqZ{21KW$xH) zYiOwX`X|RJ_ZaAMnL_AwYt_pKr|X^uMpobV)}V71TBdj${esN0DT~>ko;p9V&?qNFk&3scA(sH!s*dPa!G4|Sx+kq!md*Fz) z4QLuDxVQ)*-H*&92MVB^5*uwuTE14dua7G*jR3M^Ky6$R4Gnw&$zXmiENnvxdGk*? zy@bS#gyKo?I6c~gTIa0}j-)SRLJFs{Yp-6tf+&5qgP(8Z-Gd!3gNgbd0W1#AXP)Q# zp5BJ+-$JZQf&q8%v3D^c(zhI zeimt2t(fYP#G+QC#vX_AKlwr0@XW!Y`1Qi+DPRe|b29KqTWB??O$tRh<;*f_!4{@b zuC7ja8ft1Bj%(vft)PgWIZy|iX76j~bqOvcF1b54oE@3_T_$e^UkG%s>jBj3FhFjv zc~(aRgWPLGooOAVz51^^MeB~YX7*1Gw^7K1Q$2gnIe1N+tY@ooPDc}rfD1gIsE&Fu z+oJBDrT{qB3a<~|1)Lm)I@2K}hn_rkdSkRCGQItP$6tQ>d zI}ZOi0=6 zUbIu;7dn3a7(h#Za8JTO{$JG+bp_1U+(*h@IAAKIDni1NF27Li$yUd*-XkH<%1e7N zW-&i$G6(a^IQ*UqrPh9=T#-T-$UrYc1}kV6N$!~n378URGzw!suF_zf`lxS$-}fZV z9lWDP;PD#k+gA05CLAVI{G`u|%6(A9juz0xXkh&TX zg9i^9ANf=NBmBU`IP7w)SDihC5rW3L`DCnj&7iRVCUX5P|C%1{%w~qeDBeb`xZJ_n`%79<|+o3?L$0 z9w!G&J=aElID0C^^W0q9EUZ5=^Ee)xLbV14vuD?lj95?D4{^eH^PZ*#>dw+YppTD_ zP^e;(gJnY)NKPP#yGU*4&?7{fR+yi7V@@i!;v>>QR5m}zy2uw;&Tw8=S|(6Qpm~cW z2guG+z95W9fTEz%ui#~==OzJh(lbidI(tnx*i%*@dUZ0o4tRMGtdB#TO*=*+z{y(;#62h&k%^**zEWFyxpOom%F?4 z(Wn)74K|(-xFQ>kn3||T0PPPvZjlk$lI;b5g~CQP09MJfut zdD0QBzOJb?l>DLi*&Fj}!zLdJS2U#84fdI3%_<-AWx<^$6Za4SA1rV=td3 zz@fzQbgLqeo)=)6Nmt^?V(X88P(%d$mKZ&Uhr41$nTa+RVax`P-Ua(INLJx@g*q6oSXSVWkaz<0``%mCAAIKSi!oazP`f7}b)uaep z9+lqKJ3CnrN3vHG$!R{AM=dS5?5}-WNbyv>FlS77?8%-m+=R-vao3K; ze5A#}$3pI-Y#M3O*U+C_Zwr1BxE_?nU6si{N*e#$+Rg*>&q^PPm51Wzjbu_X0h1LZOpXitBzVI} zCQlI)Uu1YYqg(^u#%n=tiSfE3@GtKq)SZ9P4I@>g)TbsC#+Mfy(eFWVawx-Lu} zi#$y}9)H*+x?p?jR+eTV4Xg%!0Iw-kHA^W)Y`osRM&@lg9~CwAo7b-!`}!g)D+Mek zYh_`>snYIO#CH{cxl2{LU6n6prLYFUsT_uf7^)mMqTZ64;>IT=%+Al>gT43%)1_dJ zy(m54cm_r^`XT!Feo16UT z*<_uo!f3s(uhe1FPh5RT{MUhjbRr^&!j5YIHyN7OUfvD764xVi0r~MJhV~VeH>!JY z8Z5sQMqr*@M?R_n+d}Z7NT(1SZxjyaE#sG}EFCWLrza-@c8mB;O--Lae=c&~HmM8z zASfV!Pe34j;_4US~_HUn?j8 z&iwbL8W?8&-2Q-;{l)HJW5XIL1Jd^Ua@1L1?Tr8InqJyVO$1wHv)HwG zwTssuP&;8bQa!s-l7>l=wQ=sr!reB9(p^cHP9VvwEW&u-sgq!h>-Hd-BahsVlkIcG zS(t}hF|P;?#sP9Z3uFvVM#(jFlp<8Y^(ZlnrTFAjiR)%4SKGI5nIFHg@MKvi>4c8* zm_AU?rQ6Ev!w?$s6T??)86QuqnDR(KuH9Hoi7_fBKC{;G_Vz|xrr^m^qsoSD0Z5!}BMEXQve>8< zjElm>fsnd7(V3Zv!t;uMcL8Qf%?1J>=WUMnEVRp?w*d($%^;7#`dCr|rZFD$5={KU z%?_Hm3+(e$Zs7bK{0LGqzd`#t{?fyEeGsF0vcxMU~>*(v!%smogit9ELXX0j>ArkbV2ePkc7?rf>eEXub zgWmGC+z+Puj5AaGERqembF;nBU2=LXcbBU6@X#hCxwa|8{e9xaL#!%YTQ6nN1?Hd~ z%P&}ILJvyfb0Wd8h!AuX^n(SGXHg72{?Jl3K@4n7I8JR2>R2h~YOvOgRl4r8Vc}9u z!{CWi%j_#YCJu#^q2X0fVo%p6>mHZ;+Mu)m7b$+)O#>uc?i-tZY(heb!>TqW9!)2# z-dDOEa&g54LDF-0oHz+NtY~HI$;!yckWogy;$NApOHfP_iuzjh`^c^-a}nF12iWTc z;vOC!qhb77mz0!z@}&Oz4XTHWD=YF~s9rY9tqsb~&1IRKoRsh`n1!RoF>CGW3SrSK z=qY-1=UwBA>0iH0ORr00TxDSiWYepD-8BKu_u13LnvKU@lKlMqQC~YD3uEpVmywc4 z;$y=$XazMDm3*%fsOc63QvtbR<#)=CMMcBq}T6Hx~k=T(0ZPP!^y?uV);UgHv$vb*WcfEcS*h6VoakT zu?B$ao{nO&h^b8*7GU32pzL)gA|fK^{Ru~PeM)d7VI-(lsDCOR&c_55wrP+FvwiS) z2yXP~sHyR=g?#=jwKR~6B>~1`sfGlbJlK`UU3+eBq8m3Twm_7|1WdG8rdbO=2#bi1 zh)A`a$pQ_&1(UKsq_~H3RLtyOB%r(Z`mQTXQrSElW9;NFsSaNwrKZj=;mfqC`9eaz zy|M8QR*>nLn9#!BzLkn%Ru}L*tJTM7|7lZ2_6qxT7poT-T5ua}unSUUJ%h?`Ierx` zK}SaiIM8Qj9E@MPcl<7YAJqiu4sz-m56|18B2b8xkQR8b1(F5{U1~8FE#`h?y)w*+ zK#mD~FAx=#mk*9wLJo$t88dIo&in+ZWBva9J77Je91;qoT6=*j2c+MCxz0YLY?+dr z9Nmo@uOUbTR8-(&JAQ3zdk^i5$7(XMr{@8Um>YH@jM@(YBLX@Z?yP?T{Tk12g-d)+ zo^D}jo(7B&4rtjfue#XjXeYZ;9NGuWhwz`qHxrcUc0!L0aYsRZ@;>}A5hKb z?(V+1y?uuB5^%(-ht11w~T<2lBIkfkm1E*&$V|F_tIgt zQ)nzpf-NR8C57E`e|?HJPQC>uVC^ti+p$z4B4JiT+W60>>XS<7r|(K$E6)7+@pk2H z!iSZQy0Jc988+0C%DDXO4zI4U13EUr__ZYUW|H}K?Z95#%vVn67wcW^PD5<%?2KXd zb<3bW(Nr$vh12W}v8e;Bl>B3ANqlSbf!8ytQ$GfVL^&&Z#!VhSzbNf^(z2=7P-1*~ z(?f*hOA`)VmFqcyYpB0!zBX?igLQxr47q(@y?Sx9V~SKF8io1_kgWlt>s?90P)7u$ zq|)bSrw=Qw-z%^7Mgi&BI$TI04G#$Kp*0dnpcQdy1Z4p;^s0l28&CpMpXhNXVOaTk z8JXx1IQWhDRF;3ZgAI((lgW}kgzgEQS1)&o)}sf&H(?bmPL21b$roL}D!-`d{3D}6_{wNwB(Z_iXr5^z|F z)smecTWz1S0nW->e}3kQVAd??ge+7`EU3mOB)r~L3|Ff1;XX;Sh;wtPY2R?2YsIK7 zJnbXsxJCtBgUFx;s1&RUK82@#DK4qnuZ=%UqlRLchUw$VXxSxOTU&VJw)XbN;Iw=Z zx=y^WK69v6W%H!Dx%t^p0X4tXBt0MB6(uF50{yyxv@|*xS*eF_vbCLPz%D#95as#l zrk7^>t)D;R6A{r_YGys~hUkCxj_y&vQrR@>bKx_JUV zy3xtOrgm#8a3gR^{ec-05)rBXq)19)!>R5&#=UW@p}g~!!4>-eLnsK^lV*QHDlXwTl- zL`P_5>f%-xBb)EkLR7$@+s25DOGBSRCKiHsS;J^6lWv2iFEWbOV!r*$Ga=l=Y6&+o ztvZ*o?{q4xtgM2-F3~VAPlF3myWJ&xnN}*r_kb_=WF1c6LLlzwtc0*KtEBIaFR+;0ve%tRhtjv6) zH#7=Xw5-}23HyqnmnVg|0{q0*TiyV));O-N=Crr9{nXxme>K(0*T~wM1D^cr8%}=w zCNy*?yAGZJfZbE6g@Te2ZUDlH$u2!F7~ZJprf?czLeEJ9@TN$r8Qs|3eF6(%E-9L1 zPyD;VdsR!N3QXH@`&d>s2kDUNc2`%IYHe)|@RfM^SwDuw_UGniAMo6k2D;%o4gk=y zwTe>*ok7%cM`aCdbphOEE2sJC8->H(Ay_;z5)xj6vtaDA7m!A)0r)D1Yv#faH0|Gi z1oq-5aMxow9^EEr?T1CKU;WuckbaewmBh>A>hEsM|6E?qO+~r5w4gmB_`a5%l~ut= zygd$|osLzz)bMNAwe;{$FJ@?3t6Eu;ACOXtg_Usx*lK$7&dWzSKX@4+71l2MLx6sK zhTItzKJTqpnHU*;g6H`-`1u!ZAGlNHXwKx)rA+gl04nL24diyUqtW)cYH3EOa?5zU zZ30v#7qm&&UtMeursV$|6blPp4y&VIkQ*NxGoRvw9oYcijexFRrsTV9Wn~4HJd?+y zw3L+f@*r#EFoSY^mHROttmZbgv|zHcvy&`Xb|;GpI&aZ~SVRs&Q+FbKeLs7mMG80- z8Z@vKmWuE0(VScU8o-nV){K3{AE5e31!Dc2X|b3N(^w6@T%UGg+$TX=@- zv;Cz@my}7BCt?AKV5Me&?G@eJ6*k=)W?nurE7-uy~_p zDj6Ho^P2VdxQf7{=4T&i1RkxJF+5Am{M{K$u6YAtO%{@CCD$WQE9!!~> z&Qln?=L!@^p6arQFumQ+zH^NPxy2s!^@TeCiUdCT(f)ejeiiVs^z`(sPHI(>cW3Z= z*;?KI(0N7RSRuDsE#c;tL170 zgF5&Ky9EI4auXRbNx<2_-?{_OBb$y_asp2w_VkD4J_3Av3AoUP(>)kEZ~C=#UPY>M zO32!%vZ7F8zZBJfm@JuurcSDu zDDZ!=^&a3{w}1bzl!g{E%8W`@M0O~$vqwg#j51Oog(#ISI|+rz%3cvdMr12{6Gb8_ z5m6b>>+HV&&+&hblfee=X0L#^ZkCUlQU;xeB9qOvyN3iO5=P!eJ9ix zrY|oYQeIC)i|7va#Ms~X@Oqt-*N4})$?hGx)SbZ~EG&#uF%UWl{c;aiOgpuUMtPP> z5dOY_ZQFo#f?D&eD`G7kVSXenns8$O+qc`IG?YO_xP#X9zkfdka1GzYyQi|R`h1yd z-=(TY@X<0e2l)DK^4|Tv4@FJS%WWjb{3t6cE9!*A7c=3FDX_`Cxr^nG9$ndY2ip=x zv>GpHv=Xr@3oiCQM3cLViK(8{KJ!;aJ>uWKeyx#;jEJZONgOc5PkqtR(KWyG?b{## z(t(4dAfSq(y}R;z&c?LR{=j$QGS!KX^S~FzR_sz{GfLOHht`4M#{^%%+B7M;xJOV> zFo;FsKEPCAk9phKB`6ejmmiMLuSmHaXY*{A%OUqF;i#yfsLVRu-eg8h+u}SYPOyNjC<9p~bK_SK zYRd~~FffGFfqkP2d!4Q3W2N=Z|Wv+DFAW`YwS)q+^1 z=rCSjb0`@YgcqaxADNgNZ{ELu|A*=6)An%;baZs%OkvCF--pXz6|agYYLXdPHT?1h zd76EqV~b2R!Z5hxPM9roFHB|s+@zbqunxnz-8*}Vdgi;II4J~5P|mrM;!v6858GQHXo&Jh9K6TwTXwuMby^jKo0^M8n3WX=)m+KL4V!@)*v9 zLp{2eso`<;!|=mz+;;lB8+}&Jd{}oq$w!^ zEPi8Q$KN-O-`?>;_yq;@Ra(x@BEU4T#k6Xxgu)tYHc4PcfAi)|k}7?<2KSrZ-pAOJ z&TFe)7)KpM2Mfpq13aYx+uE)tYtQN`RLc`_(13CH`1sK5-c3BW7-oq80?V^we{}nQ ziNzPrY#3P7VwNtOPfbgJ-?k+sMk)RuMB1&iNDDsyLzl>#avA|lia z(&WOsBN^`>cVAsD8FnPI^5@Uo0~2FoCv9J=cM%#sMR3$R-4_XnFkls+O!C;eBV5Movx+X39K}xAr|*jp+U~xOo%# z@9h17BHjU;8h(@p@Qcae@}sD$hk9FvNztC$i;x=YkJa~v%5OaO^V^K}>(tjb_Bi*} zxVfEvRG{-8_0@6@iGE04jN7cPAbm1xxj0~GrPTH(BE8B%A*$wfR#>*@Ms^zvnHm&}z#y6u0w-OzU-)q@2ILP9S zu4{Gqr*=}&nWsxwmFsNzGcD}B`2OhGPENmp{t16}%XYNiTlt-9b9~$5oBLj^&!Ce% zaE_#rltGSp;93Xtu|&cMP^ancX8pr1pEaQkUlg%0nK zakR{>RaSJuL;;VzPUaqhE#p@a#|Emteb0wKl|tl&?`w zyQT)si?7_qfkgSA%9DukNInM(s4gv(dMhOr6cm2U&(pI#1#)v9TUuHBjKO`;C!%%_ zbqB?LAhPkFhK%NZ%S1$vXUBie?b7!Str@Dj2&hk6=<4)U>0{n@T4@N~H(Hu7bNV-D z7Z9c(3xmrb(ntTmL2*XiQ5PuYjvaNZdx8&Zqz=(U>-<=8Ml~#NHC!I~+Lmc3tir4{ z_?^Ast+nNu1M)N*(0Ki)!F|N|Vd7!Jhk47>ww2PcvAql3r;>Imo0;S0Qi9fmsBN1! zJPm0w`vn{sg)H7eM5&5_xgQ3M3oS7pF@bK_utDd=c}>!mFR!dL*A$KFv{){Ipu7Ua z5ymZ2iiDOgo1hi!JV&?bGWuUwbSAJeH-3NuXe|5X@F=uKTxc%Q`=QHlHAUq??ePRm z_dGwp!%ny7Nf(vP#A|H7fUj#%$$Q@k|9~a`usqcHb&db7b#BW`!jPXS{o?1kj6+07t);qg<3>`S z5ukYVLbW)Nf-J0cs?cD1Q(nlI%NIs{QsfSE!fCAc_=I0b$OUXhasp#!?5Oa%@%A0u z-OuB($cTd)3-*zKiRFCjR;vf0p;drJz^7#{4M3Twh)?_fr)yeZ z+fIP6hmnyD*k^{HC?R^T5$(WsWMK`y&_v(^eYJJ1t*u5!C5kTgD*zR6y<{}2vxhqI z8@*w7a4=W2q5Q(sfPU1A7cUAK7bzj!(LMbkU2=o`Svbi?<2nJRj(+$MZ^V);94D&l zCa{%>PJ}yUd7H?ykm}0IC;x4q#>PfYAaXdRoIh4m%`V{A2Ts>{i~yH>4e&zXdrWw^ zPgq!(yrZ2Z24Wo2dwBfL-j&egA5!_t#$XDBYqq7goNcwEfI94hFt^yb&dU z+q_$-q+F9N$~~~qe?Y`FHZ?^}KeX#!VQ%3p2CAQ5`;Qdwmq@NiUPt-u*lF>C+Y**WKU$qR|X(9w(v+wDJu7XL2pzUz)4}+)`Z|$b^|7 zq-hnvP~HxCr^zt8XZ(*IJtCd?_;@YOtR<8?;s(OFZ+-rJKB3ZuEMPKlBua5ag#2!u z>OHBdx_t7B?9+&UJ-}fRoYt08GeG6K?Nv^J;z0Y%#G`sn)X?Xo9cNghVtFGh80pKL zM{h0{7t6u&b$38w;eWA#+T`aaK$@NdZ!8Ql=hkMHPBt80vhFH z@$F*vSD6k8Is+yQPsY%k>d<^E1zwl5s7pt`b9dLFd$b!88WMLO2^3knk>gL@$V zpZ*!h&W^=HrLgbK$)5GBm2=(UZhld$>yj71r;SH0wCtCXioyX1wzWs9|k>P znH8e$#4qE(u-B(^ZbnM>WMX4I=g{=~S#Y&gx?hDTRmz`jA_Y6g3r_RA&pTXO zt~Yd-g{Lh?7VoY}M(p$7Q};KDD=D(kD>m{aegXq6f9ljDwLiieR8&;RcfY19Ns(~& zZFY8cpa8Xs*^cB~p_mmw>KO)VGB^>d-oKAU@p%EPgGnx4 z9#!j>23LFh(sPtH{2#^qpQ;=Oszr_VPJb3Wo!-ph*0!D=m}6#VXUU}L?M;F6%xzsd3!n{dY3eLIwdU zpTq%ze9aQS^2T`PFBS`5%Q<~DGjb}3IrJRHDtvnERtuUI;{w}IwLcw9HeUj(2}gsH zN=aqa38@8FJx@U@$2rpr>C)`8tXsDRa_xLb@4P2=D1luox%!0;V(s3Ncbj&y z(|~Hh_y>mQuKYE-H$6S4zL{;j;_Pe*Xm%O)BM99~8_Y^?u1KTd0E+n^AOuFKN(|ZD z5ly_j7(#=X#R8yvr$z6QqWQ!a`Aq!g>=ge$q-~ z>(MF!BD#^0yLRUPXaW8SaBT3UN2gINc^_7ovjRU>R8;h{dkkvindTGmXQ`>v-S@?D z3>zkTfnYqRbM!x%vp^dm6+3nH`wkZIpq0Oij~hxdU(^3gmxQhak2tD0nOPQqljFWSIh^M{sS$x?u!%eLaD0nl3P}cM=ywQGQL9Ar?v}U|GwHVs$Z>msy+BA` ze?J(3niEfd#(2iIgzlr!<~DLuJ*>7Ntj3W2p(?lY)swrl_xWyfc5-s!rE525rPl0A z<4@Tt=rMOVwx*AMsyFxY1I61SKxgA|_+ez5%$hM}#bj_mN@@?5@ZH!~wI9EI3yzA~ z1AgAaOBt(kr%v}bp+gy`vYRk!1CAw}604N64;amdVPS-oKwHTPm;$KjqovYEV(3uL zvEke7lr+n*RL@!77$ zBrq+!@bl-cz|z{98b7Mwd2rXaF)I=JnckL~Ww7xmG&D|L0Lhgdj95U4z`3j#RLvsm zAxcIq-L5o|lt}H;_~rUF6boUKV?vb4vW#_QM(QFvBW4bs`0nnF!O_BOrY|pP_`ZVI z^MV3{(0sxRHvZvrM2^-S*4w9TTLd5MyAo>MvxU}^C+6d>kCf9sn~SI=`uK+S9``$Y z`^vgA9|c(MO`Cm8ICWuWgkG{?YxAQ?1px8uHn0B9Z@j8<;^wQw4kNWaaDtwdseh8l zrt~T$9zcH?Bm^>Ef9P-Bx)oa|4S5oP93n~~b5K}+N-(Trhh3)(IyyTEZAS9EAe9Bj z69(W9y?GSOpHY1&8bGFl@H4zs8&#cQ-6b}$4O^Q1iE zaoDwqiYjWk)c~=-&;@g2&2Bsk7S9vFr?SiUJF^pEIXnRi^70#Ch<~XuaK=4Fpsu=W zF+h-~a%SY#S}YE~@|MdjINkzoQ+q`X?fYbbSJv};QP&Pt$lvVhE2$rJ2WMN4`h^d!36vitoA#nkdU5uPpG&W3on(jU`Gqc^`8UcEd z0x_^N)XHX4w^T2dQ_vsVvd-RQrjDS(Db6Z`Og4kRvjg2^i%}ThW&jC{mgo9o;;C^vQNqfG{ zNv9h>K2&k@7d?uIPy*X2>GemH0^h*~N>c9M`u1;sKjQ~5QGoe$h+Wk7f!fxfhzm{j z0vhhQlM0w@48N!1TYT|6w&l+2a9;fyClGSUP#JUQ>F>dDi@8?t(%(OSqRU!4&f*st zWa)$k?hmW0bPF^BLx*-BU;oS)4AN=uSW{0wzzUaM~5LM98(qPQXnV{vW(+K579!VR&?lF zsHrUh0;Eq%(&r!<0RFJ|yi5(85P&1oON>lkhDwe=HPV~0F1yUw z)YS6aIo(gL-%U+!VNK>efIc-orq;uGnGaj{lho~nih{h8*5 zh7Z6-5CaefO5?+a58j1^Vi-h;0(2YVZUGfC+;~sV^VzDv9yLRnK{_3T(XnnrNXy)Q zEz z{=I*LfBh$xoCbS|5GVE}V`T6rFI(1qxxo_XT z5mXxq4OXa*Q0de1>^^}(fOL;w1Z)BL8D<#J+R%gA20uiL>_(;GR;(^J44#G-Cp9&b z@j=jXQc~T|JaF>SVJJH-bKha$T7u15O+&*Pf_6ynaQK8+*6VPGwHG=VfePI~S{XH9 zc!7P%0!dDzHCrN9z%QcLB8oHc=YEjWz}&Y62SAzfp%F63V3@^G%zxiECDCl4?N@(- z-I%nS^*$JTbAdal+vp#_uzUn@q&{UOe%%-B@wu3#m+fkxd{1U}`f+(~-}W^WC;5@p|-MOdX0B7NKOT?L}?DMz}iNqdC5`Pvt&+W`t?aIw3q; ztNLGTF*ljDU0C}L4Sm|uUy#5&X7ld3@>=43cFBC>o~N4Ct~o#b7^)dIHZ#*H&~;}T zG9_KvUe(d@5b~-vJhlo8R@L`)g+C@goLcrbZFtvc^(B0}jD`m=;Sl*b+JQ8)5)t&H z#7&Ri3~68uMi~S4K6@@s&f8e(E+9NXwMk*R9d;?-FM0H+%cllf!7~+a0lc(A8%gAU zX*vm%Kq>2i`a(3Rn`c?8_u`9^itblE43LS>B1P|92Y~42;W1^lWeGZ|0>tQofqByL z?{M&E+O0Hu@UVu1?r-g4u9Y*KM|5_B$Bj*D6P4l!YX2`?m%URh3>f|g`SOewo?}UukdBaJI8JYlMIj={}ywsMxut#}z50Eb`w@T#P|eeV z=0HUiiQ0yF8{*S0W#-F+McEAwkYYtl4p9+!2k*l^_Z_q@2A_3du0OUiA68t6Zqams zj)C>qO|z@tF<2F;4*dT3#+M)%A3uJqElS=iCKiF1iU$~Fv+K*@LsqKG7uAu_zW!~% zrbF)T-Mi_hvZDulkHp^;5WhT}^>Twc+yioQa(sG}<808IILU$$A=U}&h6j4TFJ|c_ z2dGy`nE&|kgXRDy_0c!b%4?W@ePlW#GnigJu+^G$pH=eMo~q@1w$3~VhsR7!s1|Nvxa<( zBpkt>RH5FYk5mjb6Ab)zEot~`|sJW9D#%Jk;gx1I@ z=J6r;=e~md{|5K2hSFan!N;9=vs@Fk_4S#qI|lpuXqcJRu@wz1dJR5tLmdstBY6h# zuXQ>0>`?_WFk*bnYQsdBmoglMk+UNR@CL`f7KVDz*e*dLU+6>61=sZ;WRztJX-nrUll;@smWK_Y;K?Y|lA;o#ta z@Pj~iEfYKhUk{i(!9U&4xT;A_)pB9n9XgC$%I9Fy%K!E<$3TU19c5dGe9f22W zEYec1T)*DicpeB3WFYd;mx0wj2=a#}H;EIu#3yH5M9o!{+7)atvVVcu1kzX1UksJG zhe5prDaFF~-f%=n>_Iy|w_52p@HamtQg_bahKsevL$OrBqEGwUQZ!kT7=(TXbVw;>!6_{ zQAMbJp8!!sMnwrjb0}z5taHA_+=kB}%^MyMz$VG7-dY@JHWiOTQrJAeO4{16vk$dD z0t<^c_<@i#z;9wCo$i1U>VO;t?@amCwQoOWX9+Ni^FI!He!mI4=!Ub~PmsUv|2Pa( zgx@qa#VD)-?XR|@#S(TD$0EaF8SodK(4{$r1Ie0B>ACmn4H9l43E@m^;DgB{DYsS@ z9=84T zYQWmkBq=TJ{6ET-zRFw2(EOHR=|FtH1)~a-qQnM^m-zbKw~?-MHmTDX2+~{yww-Hy zcmQKD#d8FY1Z!E#)8M<&-n#BMQej>zd;=sqL$=NM^cQp%sC2utFP=Mh`|jQKWc5R% z1pJzi@3Hzi4EH>tr|mCsIS8aM9{L2JY@{UPn33&%;DkXfbmDP{yKm zP?jF^;o(KA)LpuUl4MrmtTc4(>eZU=Zo_ZJ@T>fsY~M!)8yxxd=yD+Z=EX35s@<^X zzqyrX#YXfU>>%O6uvG8$GPc>S0cXHR)rbRjMO$c{Ewc7^3E1y zC_Jaw>`jO6a<-hTxJmtA&GnL|I>^{;s^*FSq}+8$L}(L`Lkts22)q> zn+Y=E7~OFE%C&2ZAi0n}b_k;hwRc;dl}gy4<5zL&mtiq60ssb2P;9{HlRfdi{DzUt z3_z)BxC0Md;*j$+POWIR*O+<#>LB~p&A2vVW8stVaMEuC{w2`Ur%#_IFS0<{iJ#qZB7cq=EF#Nei8)D$W_v2`?fz&?F_eR?l+*+8l>f+xYU-?WYfHTND4ENV#7nef&uQi>v| zpopiR&_(c1%>r77d~wZ#o?c!`Pi`UoBwrk4Wc6_kx~j~WsS?LQ@mN-Cby{@K6CN)@d=L-%*lg=1K(~F507U?c49u4n7O&rUUS||VRXwG zO+}n0$I*-fP4WNrdufS=p58kDYD-74IQBte%U5WG0_j855hZ|CU^xhPl#YLK(Ea<| zl9I+la#tsHN&;AqgwM%oE=zMbLaEimNe2be6bhR^sy%kjvx62`En#TEA5e6d`+ zj({5VyMk(^`*=}l|Gs^9f%IA4lghO!9n~(kaXoyZ4##vbyVwX|C1H^PjBS97j{rFU zP*P)sXJ!W*3drwW$x=u?hA!VcU2QvJ4~~#@KYe|IEJEQDj~oU25XXT6UhsQ~C`Hh8 zrboQx-M&HoHFQm==g%>@0U2?^!Y}*|QHVOkhOkERyAE0yzy?5);gD5Fw0+WXOb{HB zunWjPzaTaWHp~eKIvypa!;kkS^3&inYRsqyKFWghOR_lr06h#kA4XtDAH{Rw`p;0& z1aq{X%9xm~p``y@R8?h8fgAMvm^{jN?1ILBA z#cl4>7M;TzaR9dSCYS9GuOr^xqDXrVl-a2k>N~H|>?%$)t*-nvWZfHYdL;|4dCP=S zrdYg`h`(5eFO^eUn}hNdPaimpwVMvk+}2;-Ar9m6Ez4Q46n5q>wiNc)Q5wG zot@pR+=BsOcb0|Y2dMEztWYYz*O)JF*JFhkg$gE0qGo56aeIJ>nFuuOnAc8VK3Kv# z(YRQMNA6w&mkP{TPUY}}c*JJ1G9(V&|Mxb0gd5+!rC(!pzi}he!0?)@Ycl4O<5eM( zOtQ??KtYjxMnOeu=Uh_OAdLO~0hBU@QlgA&vOxVjIuoW|5@}ReSlBZ0pN|i0P`t|e zg0N7aV@_Ahj}E}5A$$dMC6P!Wqys08-_A~KnKV5C?c2`c5!EeBu}tTl@*UlFP&3-v zfW?9y#%=zb5GYOYlOLOo5c5%QH-n=rBiH=RIQ)u_iV=IHV zmhvoAKhjKUHz2))3|72yZS_^auflYi4gV~(|eaQQYM=ClF}I{&XFY`#DxgYMACNL5(D zp7Gd2m9-ZW9p9SHDM7!)t)$;A<;{Hb58VyF^?#%+mk@JlK z-Ok^!(-)7KSZP6ItfOYd3HpmZwieLGDVA)$$IawhykyXQEhIhe^^}o)5sdKTzK!N> z6F*PIS^EDs2NgiTZ7%GwXQ&atf=EwNp;3!88? z7^Xcqe8Tz-nc)>*@9ohST_&W&(e$(Y8F4W|PYP|uagedDa;??Xl+a{R+~+uUN%V%O z6U+&h5Y#rOqhG)8hjOLVHK#n%_Y7APB<){6rm)2_^SXG_WYJ=jm>MNNN(|ZhZ9x?9J|3T1+>n zkgjrzKxRihfQbiPdP0_eP2gQKL5cpjyMS&es9LhI_Za$fS>F{yZNs#BG#ztBSC&Z_ zb`J96b4S|<+=$Ma0%n1c4-JO;_tT#|d7|#4k9svwLUM|Q%T1X`+=r7FupLAbZjz33 z5Ktc*IDUJdJIW!>Inuz-F5rq2D~HovQAvKxr*x8(x8MCMs2#rOZt6A!#e7a-E0FBM zUhOEbXBg-T*ppf(viEM5W;3F@c<~~%UMbL>!UDRED)bUjYq@EFWN?RWWjE$qNUBO( zT#p5uNT@GE{$u>{_3o%-_92GX2KeV=nn|32ZTL%vw)oq{>>M1e5aWpzxga5fg0)R{ zYqbt5Ps31Gcp=&rwQJXkv>bs$5GOE%>q?k8V0~#jeX_T+bC)-`@bsY2z`($k+bSU( z#~AB%SjaG?^W%4}5by}B4|H0@v=1@0W~dd$kK_0U*GoS^t9=G7Z5jepo|2l~+cpW+ z69i2-iaUPIf#J$hq=T(T^X@7wj$M-5a1%c)_P~AoJjK{wqiqMRRN3IRVCZ$|&PZP9 zgIy$`U%9BL2)iZFRr!m%GeKAyPteMk+B8+^&* z&}JPO_-oi>b?VVs9d02Z?E`dwAxjokANlVAE*XQ@Z~y`u3z`kVfz=82Hqn*-d^~^J zJ{fnNPc5aQX3aXDw^Ot$L6Q_6$H7wE4;7I1W0bvx{=zgAm7@3WRZQBue6$RmA{syn z=)pSvGBY<1&kbBV7ruTd;Kl^s5wNfq9meo9T^$G z7zHdFAJTvr0;z8_TW=kgUx0L#h*t$+hml?@K9y5!!Aj1=-U$8_rt>(gMoYN@=9H96 zBD+8o2;}fzmB-QUkM>F4@$o|BMk*?_bMcGrI5y%j5g(T?Fh+51es(yBH#b-W=-WiF z#4ydvh$POfR*=0+Cg*-V<^D-2GWA}4c>!y|AJ5^b(~2eg(Q-aVXeERhD7IF>BLEfW zsutv!30^>G5Udn>xqkARJgF@s=;$32UII|o4@#LHsjO@X^-XyVei_3{x_P)m3@q*r z5hD_OOWXgC7C?vIueokMeW9OTb<8%SKQYtV59(*P5uTV3@+1e@Yo&JV*um#Gy=%)w z_!%HGI=bD40+{``9!M2W$+2VKJLO~=n5nA!(YjW_tdsLvS2wFF~@*p~zZ}mg)p02d9M*sR3-RIBZWrSK3}oPV{|~yck9VpJSTH`lFY&sOjaRp z8Xd2X(-V1<%k;Z!9!nwlZDP z4#6`gNY@(rp)cjsD!E zb=Uoz4zL2;&uCHNWJE<-!_K6u&@j=WUAS}iu3=0rEL}2~=4-z3t2AVvskAr{APZ0$ z#R_Cg3WlP`#g%j33cG%>r>rdpCLF&!5P5HdqoX4kq7e`E0Rmy^IE2f&+-H}ihO=;e z(D@Kt917S&>b-5XE4+CMxG1DWw{OqM#q& z!69e%J!vyGDYmHwJ?{+EEjecYm%8O<{UwCS0P>~dX?r3n`tEsFeOGI%w!kBXUAvMJ zbyN9KJisaHK;9XDJhQMMwk)Ms{D4w_)dEaI;r`p}MwOydn|5%Ib6L55MeKY{@TMOh zZfi|I+f7a%bYsuvylcaG^39F1O_N=OOTfD4EuFDb2__~n2t78+(~v-Gz*z_6IS{}V)=1=O#o3uwxsu@vk$@|9&`at7Yvry0DKo>8oICd# zulhdd?p`-V=9JF&TA%m4bh`uc3@Kn4x`W?4lDDG0pTI;%+Cead_A;jgAMc`}K_9sZ zN_l#YtcZ=+rHMd%hDu!n0Z>l5`i4*Pg>1gCUk6 zbI|Oipb^7f_Ju`|L~%iDd?uheCi!;0nYNi(%z)Jf`41=vqeVqQw~^QHWd8V$8yYF0 zoyntWsHOx#CP*(VaKuOZ_U-7&tFGN*b%Kxj5_jLIVonkk7Wd@$?#Y|K`@6n?_Z=R^=zJ|8mqjv1mCm;0ah}B^AHk&X~ib6I24tYxx~a6&{rKt|8&;TaXT7g$Q)>Z zRzc-+HJF(-%K>9e+ZdY2j0G$Vwnqa|_+IuwA$B~ELNqDySIa1Aj=0|W@Zqebjg1mc zF;$Q>6Iamhi<*HOa+iHkS{ePH^7Ke8ff$OYwQ#Qzr8mW1$VrUci^NkmAEfg)Xwu`0phE{Ul^P%K z{o*3vri71hq@N^dOGqbGfX3b*jEIwq%RaOeU9G4+SL;Yj1K%RfjxC%%8#ZptcxE1j zkJxeL>C>mMTKl*jla!2%@WpJ-=hR>=GWz|y)(W{whDMM4hwDS5fKl5v z5^S_f(*yz&JK)NjY6T$;Wc9@|78Y?ch~Rb8(bFq}Y54aYu3tY0;l_Ruk%#2dfT0LQ z7-)njZ`&RQ6SLgf-|P$q{f6m4CNir zA@GGfdBXAq5-}tW(h!mm{?Oz_&`}LY-*V76Wdqc;5r`7`j~dts&A_BkARBxaw6yMj zm~F++f250%?#nEiBiH|eLqbwl572FC#9ch^AFC&$Meym~TQvug%*U8?aI1d7Z! z435N91NBJxb?)hh?0r{O+;nhX#@z*{CSMZzwec8*s=9hWyN$S#4E6Q#CWe-e`?$Ca zs`+mjOjozbbcgS76vWEy{1Bxr2ktTq3P0U7^rBa*RX8+4x#e>3q+)EC5;dZb-k$E& zD=G!uLO#G1JtU%LWMs^%=W@TqR2uxd(Nl$*n%bB{3(L5yGZvSY2b}mVr4T-j((q*g zzK3CvBG`X^xcD zJ4opE>}lk`?B(g%fDpRE&*=%{DKQ*VqxzS&5T`JJZFyLSvF5?vqyB$Zs`78wJ>&A6!@;M#abfPmU z=lit&O^U8xu6645$PQ=(Xkd_|jjT?Tp@%pvxgylJa8CW@O0m-VF%|YWn)UI`JJTC- zt3xcyqyg~$+l0Gzy|H&7o?`{SWfenQ{eYHQ$F35l0^ zm!dhyjI)&1T)Bmi@Y(tKXRF}{y$Upc?11uM_%y;^TCS$uo!KD7>Ensytql}*cRZ|< z(lT4r204`8H=Ng%h+R!of^`uF3|Em!}UO|(@3ovV(6LD^aa>$9m^ri#D*!4`{jgQlqvl$1vN zD^+O0Pz+_1 z&0rxQ2Jt~vYo@;pybVe?kEuFYpyu;O@7H!n5wb24D<`I5P3@x<#<|%f1?QJ--*e8~ z>xZC(jPsn^(vxGJ*?Z*PYb5wEZ+O^fy)^##j9We7!aJ?NAyrvhRd;1d;Jy=!b1yIU z-$BK>@+&SP;vQ10kh^@GD>Tg&frA3&-k>ur9h>K8XLYw&IXDCsi2g1*m1i6TDdQ$O z{|(qV6A|p(=r4US6rf1g@|$5Em@e`BX~2Ul2>zbmkS%~9mxMpy1 z%F42VYbKQQ@Xf!Dh#t_GDc*h#Fr0vSPRd#IosqcvY3546^*>mZ3V}6y#!J_b9X@G( z^H0WVn=d4aAF<#N`LMHDt`>+aCXsE}apc4Ar%S+`VLt{x9_jzkHE0|tItwd-6@ENH z_%gFWr|eMVqOGwMMhW-D%gP@R!pucvhogKvJZQa$Z_gmJ2)Gcp0LzPeU+Pj_ zi_YBpM#=iDScyOHCoZ}Dw=B7S@6vBPkhM?EPl@r_-mJsp4=fLS6X=@DPLLh z4M7HwB4i1gtQb~DB>C?RHLkAhXYcOr#(?%3yR8jiJEWy7xC1~rLWRXLZ#UFc#2}13 zySpgvmKZLHfjIQZlR)4xyKsJqr97$%nxzS>C0E$W3JD0*penXOr9dVcl={R)a=jE< z5&K}`Q=2z_!ncXEJsy*?Rexcx!-LdM{q~fzMdKY{vk)kNDJTFDsswYuBUzy}HLR~J z{Nvb_4-_Z0L%9K4YlZl3XG!Tj5*(Te^`8K4`i|O$i_nT)rx|fyg89@8c1D)kPA}d= zhltvG@^w{x{U#tNSkMVoPW*>YMTd`dev);n)K_H3qthekXQzZn(2xI zUo#r^DI!@je1x!lJ4Ss#8HiLJJ)&5APD|Fx0h*ieM~}F$xq#HXMw=(eLaW!i@lkmA2S^b}YR4*2l4K)K z9~z{zwEqRH7&B0TzD=+Bo2QP3vh9)0Z#JFx5KX=t#XerjK||w>gQCMlaJ)Xo3_^YMWlj4i`Hm4LHjoHw>YM#($L9x?4}vBrygkFM_LSWI%cBTV_BrANk~B}zDUjP{VEx<*;hJKq#1pIO zQh(J-mU|s<;~uQp9#MaB?Za|o$&#C=kZQ6aakG))Kc#IS09fZuYwN#YK#=KFod+FL ze$g>9rnuxOBUQ->im=!Pf}%x2>Io#=p@T{iuu?kJ}G}eRX`3zDf)Mc4yHJ z<`?l1rMuE%YDJep^fsk55u2&&RL3D7ZUD$5c`rge`4iS&%&?V0v13HHPtkH#PR@Bp z$8o-6oEP6)q5j&(y-5}*EWC~=y_7`~=hu?If-@p3-|5Pg_C|DhBi3eNbB@dzD!$VSZZY1L7ejsVac1= zJVKnHd|K|s`%C@#2PWpm zem-^9^qspw0_ivF9-4rRYNtuulMNoz2rZ6Y=1+$vnkc$t-L6`{q}OjDt@oA*uN&XZO4vN?H2?^iBXoq zFE(4Ozwoyem)Gi%P=>EPlk6j=Crhun$5QM?HZLc-XXS{Httg3~uxMk7mU{P}XV~t% zO}G6u$)v(OoL@&0hYw)g?!%|O)13V}E3qml%4q%14VT%f!grMcdIhIRLqR%2R2b6E zHjDA_G^B|<;d%Gcjp2Id9&jh{f65}bCF$VUD|qUE6pEtbGa3A#|?#&#BoEE+M919m1lA< zu&jrF$|DD<6|vqQ=^mx04)ph%IFyJSe8|SeW;i?zE0xDB_!~^)-W|vd@BBPH-7Mwk zNmDu$Ig2wU6hnZ^A3wdGDu>P3M@dexa$W=R#q>WKai^B#DVDSrYn~PcBc}$}K5V#Sw%Z|0ka_iiQW(w)_%*I0(hi@DE zgNEPSY>pi=ZdwOAZXgJip>RVqF4IQ%41e}P=(F&X!ZtrDZ2KQugL5)R)=N1ZBetbYs*DY;-_Y=&wexV|!ay~~R6XdwiKoxpJSHI|aG8OE_LGNS<mchAIgI{yPV2Y%2ldp#LNt1K``k)ps^>Fc`*(I|JoO|J{%*1UuNN}B1rSDV(1 zIDO9Ibnx@@Bl-Y5;hkt&H(Q>r?Ni-PmqBhXJ#xM{esRML=#g0kecdw1>)vYp%q{}Y2V+$9QG0TG@7G2Te+yU3RKaiy}h~aKyH$bb)r*a$GzpdSKP(kWp*jA%eDBuVpMn0+f%_p zc*jYwTedVO&utLr;-bWzfLKcL-%_|`%igZq!)<0dPQ%rD;cX=GhEq73Pf~lW`p^(= zpu7ycL$25#BXao;Iu8xoE@n2?;^wZ}Mz$GuQ5D=*$|zubR&mR?G7U6mKPp$(O^&=; zKl9^S5nYyrG&RLxAYU{JK8(8i(0JmBRAaU{cj1CBm@7*(kqFAZtH?!yTH#^oHNCJk z85sIxU*0|v>OFmP)zIKy+V5^D=lxKR1kKGkqm>(l*@#Gz0VQ+#X}O{gk4!%lsij{T zB`uFjXICP(?%e5%dAPh6fq8H>ZKU`CdUM*bE465Es48)-Qp|P#HzmMz24PG&lWo^s zjWs{>cJ>*<@SkhA3*IL1XR_v;NAcMKeC5;`h3xSClOeQSlALxF=C!;QRP^9KWk%V-8DHkcs2@A8 z3I+F5{1yyBa$?(0v;z#sKnZt^mRYL!VLC6AZWWDg_UZp6GD2(P)8vAo6irXZPlzcK z)6zB*VHt!}n<>b^*L>VUQ%^_7o7ARuy*r`o%SII;KQB@_#Uqra+9oWbP!}#b%O$kaT^erU6k@#_mABX@J@HcWm5m*I~*_|bSMTjKl zfy0dlV??fv#;^B-Y0nZ&IaKrYSO$~ddC41eXE?0=qemXPO}rz?63~o40-i`E;M$=x zX+vvhlGio7q;@umH5!bS^7@jbrtNDn-sQ8hKBgcz9R%N(z z>8yw6udgN%f8QGR6V|34Q{cM2XWnO)@rBXc!C27w6SsfqkNv#&_9vd`SrCsDpT2p) zI%2MY2r}c$QxvOr(!3u3qT^c9%dC}9&SLYU)EpPJ*sgT*QEL|{$^N%;bS0>ui=E+ z38EO6G0?)6gb=1gzC}o%cKRzK)0=Vcv164fwXkOg?U8?;Ww-9_4;AjPJ&yM}(0*<` zF87?Yb|tN5YR^4?JCj64<a8=0#e}nI+wqD)OR&evox3bR zzoJLrLZtgm>yc8|tpurB&}JYrLMJV%%)7{$kzkT#?S_XuKlgS|?iLHvPz5HK(GMEfYFZK^_?xd&Li`xp>`fl6D2 z->IKL1yNAQT^ks5cU7ICAG3q%;8UU5MC#E)!blA9mwg^7@{?Kkqmwx^Zvs z%b3VWKU}MGW%v-Bt=@pgTyCBMiU+`+B1+>w%p$fIFF+9vXS6py1Yrjzc1j?65nhxl zkMEmpVlF}lw3x)y zPZVN&onXlD(%w~)IP<=|_3+O4z+Zy%`L$GBxRER_k9$2ZzzjIoQuEIO8se3|)0Nw! zw&vQi*u0$^3rHAWKEwKA-P{&qrKsd*&*E{zuIriEZ*ZUL^k~09tJi5Y9#Qz#+XH6N?f!s)*3rOe#?lysf}5S4Z~7eR+hnZq!q8i=2*|(PvN{gJQNg?rju)9ZyWy~ zy8b(!>%M;<$6r(`QVN+BD%m6?30Wy5E0vW{ArZ;Qs*LQ&E}6*|Q4tE+LRm#g_Nd4x z6u!sfe1G1z_wS!yx9d8u^Sn;U>-l_)`~A2dL($}FYoh!pr(aMG?UQ;NmPaN!{?=!0ia_IOXz}9Z4^r z{Csj}|Ev;pqdzwc6xCSO2FI<^sK)j0fLI>Zo}qYw-D(R43E(<1C`unnFTQO254(QO z1+XFevIn9X=gt&V6^m4Ngf~chf6{i1nVmhWGrmyDT1E@xC*mE~_YK%K1sj5S10Ro$1zhLO16y~StArhaprdN1b z*x`52vf5}}gUY2j0{1R`M8G&ns#|;DcgjO4UClQ3SD$hD9i=aWMb^79!!whBUQtyf zr=_h04z&R9fHth-sLn?K2mvhn!ya^B-1X%l>Y-9U%oHlEI$v=wnsD^;CHL(%kJ@Fh zNq97Vr>T7<>!5zY8I4Y1N|N;z%HozHSRYds3|8}~K^6axrIEGMWW@E%nb_J(9D=Q1 zzI=KA?2?vSi;-r_dW>b!+-5jw3>pAWkw4+URPKf?0l z-u~5+Z-bp>?yj$YjEv9(C|5PT%seABBJ_+WpIM&kdhS2{&vx+gXmMHmdEwjrZub!3 z*@i92Go|=|l$8Wo1OI_XGLr5_69E;jwxmc`y~9d{Lyp>ejH5jHo2d${=dB(QWtihj zybyMnKpLjLM!I`EiEueL7};R)7Su)x7tRA-&?ryEX>Qd*8!~AE$aDh*x=6JR+(Q5% zJEp*2ZJa?efwh|`FR$w0Y;gFK#&Htd_$50liwA`bFPIXKJt_CFpe}nkvo_+FVfwX`wk?h#5ch=Cz6Rm3 z@0%?(rTC96De`B_S zQ;~8HoiB&VX-ir*tqdL~ z_VfjXg*=sS`YwZrdP@TZMMO?cnw~(T zW&t)dg~(TMO~o@AGcZ}R!)YrVDAl|%CQt8~ce(FZc_gqp{Jf}0885T|)M%pVHJR#t zAvz`8hu4AmX-Y34*7#$f!v2L4vcKJePca7DgutTX|M}M3XJCBOp~MQ&{kg>$AonP) zsqSTqj(vC>)G*xcdq(Kuc%FIQw!u3y)(=6Rx;$rSWYk>9;Dry!dBiO;FVYnPg?0Pa z!t0{)#DfaMKXaYxS2aKv)-t%}0ZW0h=hSoo7%x{i;s=i0t77UuYfI z!OKAO4^U=gwR4(bWgewk{$h1r7Q$FxbacZhoMn+SU+2S3^>0mz&cZv&qDby5QUmZ? zRm`;cMQXEtat_dPudVY8pH%94o?@tmnUvV27EZm>r?b8fPZvq$7y6;+L?cGbfV_=XAM*3MN^%3st7Nro ze7HgXOuHvDF`pnfGG)eH$K7Sk_boHPBc}T%E(s7}LfE`VcWmhpEP9GI7lL7+>9k=5 zAC9<%!~NwcBxv}3oKja}xw6<}t<2e9Wlv&j6+G9*(EkO^hWH2mP!%Ib9Zm15%RpKPtM>C8A&FRiL~y;?+BMR)OE zARTlWsxb72y4)M?QdT zAQfL=PUfI}yDZM^O+T3s2&GVGQ7rDn_X@@jBJ=1w^71!$uV}CLM%qC+&ECZ+fW!^# z{WF#zX+6x%>pBgZUgrBege!)gJP+Ggf43R~ju}0qjUzND1%KYkp-$IEa;ZUY%}Aob zDT{THxJH{cL}oGwXfB=45!Yumry3IUAs*9z4p?)bAOpXdiffhQ73?eBh-Qm7CP=Wk za1mReb7EVUDhBd4IwXOGeR(GyDa2Y-6!3Zmz@|5Ec#m3>;z0KckNkk>p^nOqU9J-y z{JAm{6YMCPRl$d%st-|~d9Px(3D{$w+oZ5tOQ(Rd?Kl0asV`6UHs(tOi(0cIR2E(P zhgne2&`7i$Hyk;+fft>}gyre6FP0Nue?V~7V?QDrLz3^H%)MYRvc^cLS@oplq0OUd zW_{Jl!4-~dckZ{C+kbEkF2A{McGq%9YKhi#Sr+x{A^Ga?&-?5hBJ*`5dBGD@gz9Lz zchT^p$29HKw6DtJSSdkv3Ne(9zy2f;2es$wva^s$87u7TFl?(M^)W`)(sI(F9RB)M{6;KD#jd}4BJ^}*=VJwLX4HhB3BMJUSV@>RA6 zZu=}C@}{Bex{%vLpQo=|zdi5|Ah7Z)yZqCVDvC%62}U(Vd9z;kd4Fq@^C5p>5&pW> z5aXbZ^$zpw;Hryf_PoJcBAq)*DxFU?)^>JbaH80O*_i6lqqiC?-1Ill)7Jpnx)%{~ z8=STQ?6`CRL+ishqsf*AWNc+pbGepFKv3}LhNDmlXa-%Vjb%-*im_$Tyu2@Me;8PU zS?)3*VgFB+mxqyb*`u?@#+u-aSh)aft+=3DqQVnisVb<<6Mkapu?~OJsgp;KBFGMC zJAu9EN2jLp2MiLDLqL~npQd$&)H1i#qLwI-%4Z|l!U{Lh)-{h}Y#V`gDf?||Lp}Qe zJI)X?Q^m+;5%m!YM|@hEDN`?z4+eyAT~HR zYofc1s!=BZwgEcki(@BtJHZeeL@LZbGu z0`Gm2Md^UPGS@X%;Q=>`vF&!2!9$I$rf?pie|DjUb_V`zZL^SJT|1Hb{E}eIouDAP z%)Go2&ip*7anukwh1x}_r4LaM__kZz(?$`xDYF<}F<@3Q0$?G$K`?~W5Q1|Sww16I zo=dWKyo%^h@!54$8 zsraGvdiXSL!yGtjly~j6FCEcEwhq9EX`m zP?`JUhYW{nd%>tC4;%lj<Ah!-cAM(wsF!>TP|zII7`2AN?d-v4FCsqSW#(92<)g3c`WZh_>^r0I{{^DOVA$EAR?CUGzE%LIm zwiSJWRrIaefBgq4vyDbOI~hG@UjZz&PW+1jdFDcbxFs#va9sGrLP1~gSK^FJ_^Ez> z(JdE^6jR$WmX-DhiTubYB+#4NPbjhFbufl7(`vM-%DPh@d3Z9{-z8qm5N zS5fh8aX%lbe_eB0pxbL527@_ax%iR8(M{e10Cyk5@Y6elMMQYf(}PZ{qXGr2LAI>H zetzzuo6VA6H-3{c`2;ZVmU^X8c%QH)vo>*@c4`z+n0f2zoA#ItH-v9xF35Y z->2C4%sHa&MOQ?5Z~DFDZ>tr8+`^OhFMa*JZ{q>CZK9V9slADyayCuQ6v&@4Q1%TJ zo^Um|5-Zgce?>fhLUql21tT@^5!Yj_!>n`1-B^5neJuaD73t?i`>7y1N8VvF?e3`}X;h|3OP#Qx>LnhPQFYp@s2 zFwaBS{hoD;BeSo==f;zUvhE3>k$`Wu*Jt`czkbXUW@hF+c!10YXA>@MuIkL)mYvI3 zMyW?C)%A*ll9H9#<43edBPYvB-BRp45oB$8Y3KN$Pi%i@=f&{@mFgR~!Js-F;EaS> z>uMWC-&Y5n_O* zG__F1IKx4Fer-NO=pm{8+v(TscW{XR<*_^n;!MJ~7-2)zWt*i>K!+eUN;g^5zRy@j z`{WFN-j6RAe#VQv)r5z{sK1P(#*^GK>)EwaSTV=(Vm43)3|f8veUQ@|eVbQ!c%=JI z(ewLLOC$m!DO=0Y!9fjga08|Asn=nh3I{Q#Yl%+#z8FfjosGWwyUSv6^VBVt!;to0VWe{j)qift7O!l&LZ$>xD^Fn^viKk_V?)ij#Sly;x<-%pH{W?`o!1C-) zh&$L5k9V92GkBZ(y{IOY3xu4E|{4^bGiQ$7+9(1JBeD&=fH&=jHmAZcUzwFEHXtvpEHpyb3QJv{UED+_~L zLY#yS9%RAgn?^X?P$hr|NrQ?35eJx8XybE0FlF@8o(jc|60pHcIW-JMK$*1a+?rvO zC{cn^Ji+yive0&O44@I^YFT`?r|tCm&f;#8WCuSLZB)(G7;`?D^VAGx#>qyUd&{e^ z>q#)641FnnqV*Je5Ux=|O$Hlu-)w&T!@MgMaze_)|2F>c^168>3rh<53LhAk$fY zBrGs6g~m-X`Lo;%e}0cQvZ26+@CS^vR;H`2R?4o@_(JvJouW2}ul(BRXLp2!IN=im z+MX4|T?9wK9tj@%xb}cs(Zw&5Z6Dd5>?;p>*;;CT(r(vvn@)=D=N)ZtYc?m88HU92wmfAD`URfwAP(W%^>p>G6PewX(bYSWh_`2+ z7r+^Z`5ZNYJU~Mh!!#C4UPhA3C}akQ=xU9_&t==~zc@ zy|B1Jd4(0>&(MEZ4;kXM!q>CDu~E^|axd{;Mmv>KShx**wKIsG*rAS>kpgAX!-|`$ z>Ue+V5b(*oRzDWPUL)RbOA8LGFNzf_$uldUER{hAfp7I;3^FAOD3#Swg8%4G#NWml zFaXMUj@AAZ$JlqO>;c$IZG-SRW&-NCjsm(cA)iR@-5!LqqiqnQ+g(yp|7fld*UrhZ zq9P{9%9xa;bd&!j3vUZJZ*G3)V4uqxd_+t7&p20W1+Nav3JVBS;c^MUs9+5RYVKfI zVPODTP*qY|%Cl$BTJIIttgFh1(+X>qT(ZCpCOam?; z^2d%hr!W#A1|N3YPrr@FSYHhG+bX!4&b~4r%)So{1 z7zm?Z0p%*s2y0(JN{KAw4iw508WAcaiKwf;HMh0pFzrQrAllD|6C3Hm*JBd;LL zLb^Z%BGn&P;4@Jum$$%$1&bJFj}?!!D)U+Ly^gggD{u1o~79WhK! zNufqPDt^X9Vdcm){BFozg*6%*Xi1fB-6dSx0ucW$4Oj7vpgyr;4h#j+x^OKPWFDx% z+8NHs-r#Hu;Bd*v$WVZZDvksnh%i#{nMnrh`TGlgI-m%G(|R6jkjOfSg)X=z_Z#0_ z8I1B$#weE-IXjdg+b`gq?I#0j`9ctn??NU_3$;MeSIy(cEAf6p_&mN0qR1r|Gt6EH z*_(-(`6#YcdsL(0UBf;w7ylxRr5a{AkXqv!jl6=nZ z!$91(J-gw>HUJw-RCDVf9B6E6B3{c2i;I|D`moRC*out?f^*`7vmqJh2HH%KEOjld zI?UtFepSKS#?9+_4w~=`<0J>L7VoELp5&^RIlmX*DKlF*R!0THr_`qL^0KnK_!}8B zN(ncId6R9R3qT|_Jdk0-=N)4XW>pexWNs5;y;(wA*EOr`-5E1wAGU$mUd)S|9ai^ zf}PIeFP&oWL8(*cbIP`tny{zZe)#i6?4oOHlk?$HWBRd(6!r>_L`iIuHUm%MZD=i&!@o!5^f zw}L~%N?8SS@bYVW)MO{E*(6G!n}6@AcUCfCKb+rr^mn&G>sbgI)(mjjaQw?~kokfD zYTqFYzhZS1tpktk^e*ELtB2d53Jgil+DdU9JPjB@wq@RgrBqL1?YedEZ5qw};7-$a z6Xn#vzh<15?e-`HXc|_tGA~nx1l~pJ$MI)?Oh5088b=~77&s;S*L8|R^TD59<2=X; z0csYQWuyJFCnW{-TyWnOI=XhYM44vQuDNPHK^J8HWd0R}C4^c`JBAx9I06aPMk_cd zs2XDiYaQjIKrgR<@&NPfk(@`?`zg%SDD^KY_)m+^B&W|5!5BVg7PG^?YYUV*6m7Rdy%l-F z`w>*wU+!SQhJgVN4{~+D?Wq=EC4Hb4hn1BT;rc<-cnhF_8FmdRMZlIB6L~-`ZX94$ z0IPt1ha$t^zg&&`$2rhxjCJL5kU0+2JVXtGAEgF}A0Y`~8gU*XUBJG>X`35PVeq36 z7F8!hf)9?2q>2QUD2=0PIH*u+a3Ap-gn?6j2~MXt_}|ZhRX_fCd$=f6a>PDxG%%rD zqlh_w;mf`*VQ$ncz#jYtqk}ORsrABXO*xEy2Uo{- zg#R2B6nhqKfo6RCG-+}tB@52#y2itdUWQDw@~3eEqCYx{YLw!-gi|;7Ms_mW0m+)| zj*D?wn&M1$Q(p3_x;i=yV*9KM> zHHUKU4O?n>t}I@nyjhiGS{eNJWpx*^#hniwgx4oHQ>;CGbY0Q4%V|5<+SXD!COk%} zQH^V#KJAD9aqKF|ro+&K$k004g_(#?AF3Vf!CNRdt@X7=1_$o|9;w2ZHE6qV6-rfe ziINV$?m&d|Ov(dsEs_(P$aYBNHde$p*q7E}&eVoQZd7`GBW~7%r5b^DM=1h~f13kb zSy+C`>&BYX>1yb7OJ2_$b8v#YIJXj|zD^GeiG#jp@PL!+u&i`TS|1j5TF$;{Z`aK} z@iLy+{PjeBDzaic`A9aiQzVe>o7ktdcBpKLJr5D#p@kt<@xS0eXNLJYv1>l1t!*Zt z9Sj%Djmwwmw`{pIe%J<+9n9I*P>A)t=|;;joCxgd=aAQM&Rm{orFO)~2{K!YYsHoR z0A0j2_e5AwkP^P%c;h3?h0Wo8L$jKjAHwH+5=H=$dji-h%B*dp`Fr+o|1aUTtU=y$ z6Zij8akIk@+KS05)9)`e(1oxi`sX`5p8qA!cG?ooWsB-qY}tf|jj{jK$2Ux_!g}R7 zO}31?Vi}#5p364}ETJ`>KDWGA&y_6*yhO<6D?jN_d#(R=dP=~hDU&LvX1g@3a{IDJ zm{hafp5I{6ktmjMes=7D!C~~U$A;H$*~R3hQ(aZ%vn_-_wOQHByv>vPM0a5mI}S=x_%jiZY7OX#NAUQn}w zox&FHJeY1XY@RdZxMJAB%YN``^Z2L@YM}7~20zh_+%J)~jYyhcK={cR#Xf!h+)tS& zIW*HSuB4FTUKk5gsq-2ji9dv36yja!z;Or1M(H^cX%0uAqi`i6cG#!`?vK;2=9|rJ z?5nC$bO+t)X>qX%=+$8P+<|pUzSgw`pA(4y$c0BSOsKmnn_SByL^s;Jn$7}b+!lSJb|3|pZauSRTIXk*oYj@d`?p^lB zi>L*tH;K+-i)dFnf(QiKJu^slPtB@nNR!7Pxv$nulo%w>E}(!DQc^YwZ?I51c`|)8 zFzRXTo7nl+czPeP{3(k`vVhS}66;#_qNRELNt_ja!Sov8-HILRZzODWHB&#YAmQO? zzDwkbgqgSn#;men6%Z-Ybol!+MmO#EF^%Qg8t~10)Ca2x-bJVKrO_SIQKs#_r&T`@ zEBX_$8oS@Z@+SI?w-*ZfJsx4WO_}d4_w9$u29#t8_h5cF(lg;Y#fb7?W@Rz-XKU`Q zmYK01(yN6Sx=YEoakn{1qzQ{+sU-;~J4c6x>_hKcu?DmGv;7u0Yb)lQi!?{}xn{77 zl5s-A?W7LI;PxoI01Bj{@&)&=W53ssfR=-}!37{S@$HUreqJ_=P+T1a%mJ_N%|NEW z&maqxaApnd%1IC@I^=?m;<){s^Snyy2GD!5!hvRV_#=vpD$qNxp)xE#U1qOhR?^DK zH@E4Kj0_Jfafjs&7~_hoLq%iDbV#ECAuCj9%J4H1PW}8*Fl01@<$*LA=67b-HtV9| z>as}F6VU&A^~$G0m70M}DaiZP!r-$qjYL_;&4O#)`>uJcH^K}El$|P^#-y5c^8lLY zR&z-s_`kK$NF~BzQX|#$(RSN;m$>e1gDqfCK-7?O=N0<$Z}+w2l0AtR6v+AKVetd? z+j=-HY6zrCk*gF<=$d=^J9psoi850)x>0wY4cty^-n|Ming@#m-zz6<63!X9yP``o znsB}x8!Nb#In&eTwlOx{Hp|M#+6%QAcevV^bvEQaUvG-Zw zxPl0q4)z#D7RTKIzZ$!mdNv;nN*qKFz`jo$HoK|UVn)&Z4gHe7mS`{GQ`<5#%6Hw$ zCI!U_c*Z&k7!Ymn7Fgp>*mjRYPP<(A6az_!mI%5RmT%2y})qqo=>H`Wc?r z0=6|31!90&xRQ(?siBspEZ|)n5~aN`;jjbFI8Ve@nTs+R%&Iu$*=9n157f{B$s~o? zlyu~`c$&NwYiiIske9U$Bk3aqF~O!E0ByV)AOVz$0mL(utSIzekTe)(x9b>)o!g9J zXe)#?ISt0ZqcBpVL;NV|F9DwTLX7xq#kp~w;PkaYrqO?m#F3Z|bl>xp8ujsRnWQa2u<%m9Q@czxP-nZ`d%DKC&5 z2o>TekiBZ#d%d{fjETwS0AJSa7uqxAo)v!(7ELx-dY8pBC2}*rTrm!R^fr#czk+_eS?Z$R+uGQ8?!@0z&y+ZjASBD{dYm4Grt z8ZIZd69iw1H?GR3+w0@r?@HB}2KbVK`eN=gY)PRAg3hlR!UhI5wgAX0%Me{cf^LbO z8DYy8m!TM3QPti4C?Y~pFjnNrJGWwS`IUv;N5DTRQuWgKq7uj~?X)9(r+CfR;B+>aF1bFY+67#~074npRf}&rn zQ}?uBqD=0WV}qTpcKdu&ENix=4wv44rxA)iMbu6Ja6llFPr{ERuxs!C5r;1&=+}CR zl3}2e4Vu`H7!hH0_1`o+HMG*^=f5v)p+LehhRNBHOL;dWd<=^1awn(RIAUe;=`&+A zf3rkVFl(MTFieb}Uy%DD&_df5`#uRei zhlsuo>>D?Lp~qOPNR8wbjYY$|`ez zKC__p{Mm$z4TSG^GAm*sr@uY2yQQUtPf$?zY;JxiOjK}@FsC|$I$U+_tm_nVBeCT_ zkn7qEHm`b#D_Az;d+cxl{37fl3~4b^OE-_i4T|@*1N!nebxFW};G14I zz!mkdsLr3$W&pS-6p#cyS9ov`1qKKr=k4sa6r5>ZlIuDhhROc;-|OH%os`##8&vWz ztEdLCy?cCh>h-GBm@6m^7zr_g3#*lwyYMYDv?u*Zg_L>Z#y-*mRYri+frI$Yi#|7X zn^^4W0kntq&M|_G`B_<2Kw>R6{c>^QG;#{SLcM@Oi83Uk1`tGI=|@}gnq{Rqu(G;J zg?pDsafd^fLivvzm6u_ZJgAY-a>zKAM=MJHAA0R+jH|PBpMy${)vedcVnBks;FT;e zi~5@ZW^q|Ve{89pbK|6xWg18TGX`VP|l2$rku>^ z!iDck`QC?ISSF4c82>;8q!>bP%|jN}gqUitUi*g5mB^^50$%@l?RhQ>S6r1_UjLg3 zI@b+oe4@3wdJW``=MpZw*L3s!btCDqLH)jGaTB{Ei4EjcHoDGiW`_7D>l|D;B(2jr z6EOlh=lT^tsf2aM1~TxWJUa!RC=Lcz!vFIyfhx?U<~>l65Z5n+tamDViwOt5&;?%Y z5Of8SS2KEZ6uN1fsHe#4=#d5_yqQ9(_7-WTY|AM9LHo>ov~~JhRv?HwEAtxXODKL5 z9a;<^wr|T^XUEC`29b<(dwY9t;IaRMEaRy6AxM!INPxO=3KF|V(T<&)V%ffZ0H+^i z$XunuN%fYVz~kk5R5rQoFMIJ`iu!heJ3(1Y8$o|xwDgX+X6Q`P=?VwtF%O~a5;9!t z2mIKd^z+{C&J54AEGydMJL+P!YxqpP0t2b*qaGf}U1w8G%x2kWt{XJ=yajP*Y*#es zNV#5%gh08Hj?ojA`zu}*mQ6LMKfoakwUmy>Ev&(!)Zsh)GkS~FUq5`f$;kTntO6x|#m-#(rJ8m{8AB~SL!FtkuX>v<_uSt667>Wcol?sDfr5|5(Ir*@2 zbm*B(8j6{N2~|C_c}$F45yE_dExZV%<33OomOvZF#J^Vs z>AxRtc49vCgF-p@$iY_yOr5r zBT1ezrR_(HBIC}Tn}MyMXqxE>&-fTJ{d#q|HI4CJU?QG{?T2%TfFs8mn*eKa7>j^3 z4$go%0x@XDd!?#F&;(d@qzc_{AW(3r_;q-#y2XIPo=&$GSVM7MsV36gG>5Y9EIzvq zjDfvV>iA=wtiFa*IAg5jnK(GIPrs1lGBBQj9DU+ptIO~2Y#z@rC^Gs~qgn?~W}9A~L4ZN-|6C$?a~wLN zi#mqAyv8KDeCOnWiZySK?6%m3(n{HKdjxVv@eB+?=JIgK2;U%@C?2J z4#DWVwcF|6?mS#zF8cO%p!Roow(C7*P+$<^QhUauCVF^k*WZ@qA5}jKqf%yFAGtn? zODI7kbiz&N-_0eX3p>3w`Ac>uy`JW5jxkc4wOoBO_F`7d*nR7o8!7{>4_dyBO8ZeEYj0tHAe z$(#=Yno4BvKpP<@A>o75y_qhE3!0J3?^D(R0aPpX1LFvR(`}Qp> zAO`_7LLjL+y!wQiUDm~3GI7m;pj_0QU`bi*cHOH02Jyyo}12EOtyVsf^eDAoii z$EaltN2bTtgV}gw{L+O8I2m{gOgF2eaN>?8f8aJXMsWbuap`(&tgKv8QqjtMWiG#{ z(c>NiP0MJh;A#B{k1^BYTRe4XrG6=VxAcxhoW7Aq53@#UY*$LzxPQb*!El(&OV8!f zw>5hzq$-NOcKL;-wbD4*+MNCSxTs^a;5g^M!B&7OdqnE1Pn|l&)&FJ{J96m5ljjwp zR;-6_2%#l-py%88c+o<9^xitOqW039J~fuf85&{+_QzHBu9Piu3L6;JhOM6(JawJ@ z(Q82kMh{`>p7^9^^u^ft_yH(f&Js!oMo#?6Xq< z55YF;ZqRs*=a`I%9du8X81+xX=Yhn25X&pH=b>1Kq*Z|@C0g1nr)3FANwPHYEod-| zt46#1Yi0Q+7Nz!x@30qJW@5(KIl+_Ny-J|%=}Z}u5&-Ng@{&+-auy}NYnPp6;f+c`iE7` z(|@U{!v}LKBcsyJKBQuP8yj2D*WY_7Q@$f+MW2JuS|iKma{Tssk8Wg8$#kePU`ySa zn8KK3Tk$g_^4*OEmUY^?pxCcD=67#TTlmnYq&!<;o7a)iOR`b{)iA@ts@~U&#v=9Y z>eGFx zaazsnGoS!6sh8XdE2%>PEthOuAD|h-R{4C*$t`t${q@qJH6Av^GUUA%K|M!2n z03Q{)(8k;a6FqK7?4$|rt($;iz)<>hFi)uXgvX?5qv}?39S@Q>sHUa0uNSffrwmOe zGCg@%jN73GHKp|xC2b}WUHF`F+cqL+!cENHi;&BR#?B8KmaQ!Sfo^t`!{g7-1PvL^Lk?@v zwfSad@u`SW93!yepA*KK@X20goGHl@Wn zK77|M{&b>#R$e-7%;xAbuab7@RC(2un*LSNRidA?ldbkP4qwnS3YE{3t$8xw5WMpU z`&ZAuxkgLWWuy1NC-29=Nql{%7~yY_1q#jmXYHYg^A|7r0f4w&{f$ddkPhQHZy0NU z;Y^5Mgm@lY4QK|I2gefR9Ir`pBCTc@X6*3Xd4t0OPLsh%T0zfn0h&FBuXlvzS)81l z;5|+U;YbyLXtOI;!}QEd#7iv*jd%_mV1y)))GWA|l5=x0AKLQ$a|xqeUm4-0FsIAEq3dv;9ifNK zCkY`{(${Bpb8{o;B=l*BehbA)=;HHF;Unvf5LYnlD!BZf2h^manws=Td?vkGe!eIf zm4QB{b2(Q4zetKJzTJ92$V7LSx!dOUX=()WCBd8KGGz|4PA$h0qkx`kB}S!)8kBH( z<~#-qFyC=VgOrC5sHrh<0}m=K;qhb3;$;9wqMxRI{uC)Tfv0NPGR_L7bZ6UoS1jFT z2h>g)LqNnge$Nh*8h$MbQJ~Mx-IGi%MvEc5ylT$ndWy0Dm{`dgh)`W z7mPao<%g20&}qpdU@p~r9Dt!< ziPyRR9Afu^0YBuL{d*ZKNqrm9ALR!3HTNF<=ycbx^u`Z?xq~mVjQ5VK|7)c|7Q&uM z61E%iEIvLy&BMjzD&wZ|{O~(Sfe}l9fhop{|65DzaBxtJMH#agvrTmynRS zjJglZ*y8JugzrFE4DZx7aC*}*`&Ie#qc_Irj@+>X6RR(`u70}PeGryoLf!MzB-D+a z@};F{KfU)zMpj#I^ooMPp8OQS#N24N;}ue2SG#*+X%t?Fe@N!1EeZ|YoDd$KES9iK z-cw_#1gjO5m!>?XLIZmVAzdE-D6@aRwpnQaffR}!J=$4v5TSRR8 z%$YVo*+oF2Y^|+N{Ct52C^+PG(qj~>d0+SU@$utb=H}*;=OhDwll|S!t}=(hrHT{3H0if-Q6#0tzuBs5NBPrhy`r0L9p_){oH7M z`EO9yM|;@-xV9)yfAJEF|AL^{tSEM_ZYigw_5-OXrWJwrB-OrIyNqJjSP%D_hPfW> zL*U*0_y>o{2CjF`Fl%fXSrg5u(rXy!QN$g3c7Cht>sfr&m7b!FaKAZ8C74#J)}k`=`>hKrkSN z#$hNd)+Ji1&IQ{rIvfZ8k#cU4nQLA1!PHyzk#<9H4V3ke!!j(u*`l z_~}b1pa9Zs2KkRz1goplflCeiituj{t`h=As2K*k3wqjqHT?TswEwXI)6%98L@Vg~;t+=ZQx zagiuuV?kV008uoik2Jt(?*s&F#524DAXII~mzJuk6zK(BHZ($A$-F|1s{EVD0GjBy zH6}kHUpqKBn1Pk`E`Top_B#{hy=rl%fUgqf;3L*8P3*r+JVtUmfiQzAG zCkt3?!o{0b1O~uQW_obUr)jwB%&oYy%9_vg(l{+o^zY zKD6&4aiWx2MPa{*YZ>PRN_@TMv9RWSn|4uoROc~{iCFzznL%BurE^6tue3|M zOa2E+4`npJ3W58MLo6PwF&YV56S;o4;Za<4r(@Zv;QT<(V`s1Fk$CO7ub&?oi)CzD zsc1FbfJgVFry!#5=G>}Qwn3yOGK5sSb{%nBD-!b`9|8Cj<}DVc7cZuJ>uQ}w^_ukL z$+71+?h&+o1T2sMcitxHCR6(5{>nQJ@^u>~V*u0BW?w;-VqW+tGIGy7-Poq#6fBR< z9+>Jx&t+zP?*K2HLnPg6!=_C>XvlBhz75mdD)vMrd`a6YXFE=LPfjwHfEx1aOwl~xp)6Qaqa?INjG%P!c3cKzQoJJ7Ptywl#-7P zmvD%%NO50=lqq;Tq77HZvjEh*9;Fvq>LVi~PPsQikY!xe-OU0^iSSZeFv{>S))DLq zkNp^!M`SPyZa-SKD(o=q4S+zk;A$4oc=XE><1O= z)3+{M{kRz<-1AuMVhH+BzX&XloWYosks}(gcP)n9*M{o1!fS*HT;Vsk8Y$D9ldyVI zgioHr`TG?Wa^!a)*If~HG&FhA?h9gs+H?2r2H%mga$GYAV_b(?3&(`Ib=^Jucx*O^ zKJ!BzN%Fvoqm>Tu@K9qYQjLq=_vb1`t0XY=7WFTuN_4JK0*JQ3fAutN0h42Q@I=%;s4-RdCSN=?N z3X(V=3bE^#b)E4^;|93Ocz2Fj#rTs1{C1MmbRbJFDlUE;{deRY$MuPh0Ohw>ApN+q z_b6(cM0$A1!*)&D8rT6QzEl9ZZkdzDn{yc_UoEJ6$}*v8@BaW0pl*po^`bL$H{FWl zH7J9AA&l*~*Dda3y9BO+lO|GtPi@MYB##fo6O7okLoy|;2XN#A{ksjf7_7U! zFAj*K7sTP~FXLY|%Q4&5{M3zG(lxGNPUyz2AVn-aqH8L#Shs$?IgDm6BQ$#RPFcSG zF(DC=T0B9p^aEgE0ju6r=(pI}*~QRYqpbQiF+qzt&@Gk+C>9B$0>LoTs6EYbz&ecA zpVHG?3*)yk&t-PB*fEoPburZ@OAK`b%oP|=R~p<69r##iNe2v_4)+?`+9b4eFu6T+ zIbQX|30l&_;TSoJCJ;9zd=;~dMh&5&DUnA&&+!wnaF{Ey={|YI5b-4U-(EtHkiK8R`>ceU@F}o6{mG|l^_V#5KTPGPIJQ5FK<2QY;wY(Lv(BX_R>TEg;BX5 zu8mZHey|SpN9&`gq(m0-DJEZ1c;HVw(HY?TSk4~CNL?j=eN!Wu=o=fUU@G9InXmu(PRNv*Ky9a@2w*fu?t|pAL-17SWpqGy1UCl9}|kkXtno%s%>Aq`p-Sgh>=V~auU5|1DX-F1|0 zi^8H%EGqyM_yrOHVLV!GO(6p+U?TFytsY}cL0S#+N=e2?!c5b@a+kl33+u)Z{^>mc^kqe#uy%aC+&OD3c#qz z`!PZUlGWxuVZ-N1(CWZ(h9}|GKT=iz83k!U_Qv;*+M}ZSKFlJP;hS*cNcryD1wut9 zZFHggV#i58$N#xEw{PDIdulp-LBMuMeKIX(4?hIG%+z)jhRamb>8^ODS`~De>&3j* zLJ9E;WsLRTxC|w{+PG}7?&q2ysr^DUW-x^P%4t+@Fs#`dU0~JDi#(7h=~dLp*6&KP zoB#Ggqkw5V^&3Z-(pRq->&gLAkk}?)6Lm|=#|m-8e zgT44&7_5j&wqWG+3ui1<|Dl`1?<567{lxQd8?Qy3cDXw*K~eYKWh<*nsPeGW9NsOt zgVcdL;n+>x$H(3~TQ@b?zViw@p^oyF(h(b`f10(V*+XaxWY81}E<^3)=RZ0ESghV9 z2CBRV5=TV=Q-1F?j**Wzx&&4B{a0Sx4*B1;YxUH=#0dX+Tz`>=Y97w$s?@)Z9Yp;u zAkmmB^7O?EfAps?6(Tl0RO?Mq9mL5@OihW-CVE=-baZu{=IX)ZTxYDjz+_X-C0djQ`2vuKeG6;w~$H{kCC}F?CWA; zRFq1d0TcH88$e-M#roKh+ld7W;w;{7e~hQ43}#lF2e{P~iaO)4R^|(_;RL0KvU<3w zDuN+U+={<}-S>e5x;YN3VaQ;mJTjNVjR;6Vr~EGb$5o;KrpWaQyc`LMi(>;G09Cz8 z-yIYeG18ifxLV(+-^R#T7HO{-8{eO(utjFY+}s=k3k#~YquNYxd6-6370{!8fCF#F zS0(Q0*0TS-ef3>d{vC=tDPkR8gz6Ht!g_Cm;Qy|htkjfbK3Y@=)D&WWR#Q`B@fF=& zLuteFfQD?^7^2goBPl2J zcZUMT#^mA_Acqao&bVRe0Q(gh7rR8I)pYt)PQ`8?=ClCW9+6Z#KZ)@3hiBhAt;zRn z3mPEk2-L=^OgjS8t!4%kI^b3Fx2ULSsPv*48V$96&J>0xyAQ}&*)(|Os|7~$ir$X% z(qQuC`z!v3$MHv?AOAx=BO{^qAa1kg`g6{$!Rv9_@Vqv#O8;n3EZH6dXhJB;1eJ%W z=`L_N`S|!41PmkOb_+IYRDZZf>s{EfDW<6gV=*!74nB7n1GaT_)jEIm@Rzjd>PJmA zKjUs(dOh5QS4UHH7jtHJ4DICqt#d?U+)B3!h{jQ*F60cwhs81s*0#BR2Gg#gG$k;# zWADFpiI~J{bjAHE29prXgvjGJjC<#BctD99QECj^X-r@!)9IH1MsD5bU8vo){7wrE zBWard%UEg3vC}+xgAxmeZ(=3Mu+BtMON8;3Al<+BZzNT^h*2flGVWe{Zdk&neVCCJ zc(w%--elbWiY%V~C8(J@FfA6Lw7%ce@!cnCohq;6W^K&k!)3&6>4Gd?8|-=fG}hqy zscrsG`2L=l=!jVJ`+GG&T^JDJY|C}Wkmp3!FYRsYAr?;nP7 zS)Xux(@Fc+Ja)s6vFDHrf<4b)xe|;AfFUaz=BRou%x;!{sIIvtZ{d{oM#r~?f_1T{ zaZS_Efr~nld=WqbC|oK(mCbBy1RYFK`&0V$)33M4o>gldz@fAH7%k{_Yg1Icvgp+T zdeUlnQ2vQ}!0z~thO6hIt|fF?JYr%DkiXHkZ=ry9j#>;wG*d*-83ThC@tiu;LrI`b%-Bkv`6e1irt&>%BK3auOcCmgj^vi^w)vbRja#bU zm$^CtO%0=dP$Ejue}3KRB?+fO5+hVQ6!Ifqou!$Wm{6N3{eN6N5MpVOlg|<>!vv`V zwmt|dXmoXUl9NBq`mLY#1I2^D69CdZ#C}q=+7YclEG6b;+;RQU46LU=0;>qo6@nwm z9&#UB9VG9${C6M0u#g6Q%h?XwfL6=TTJK~v>e^(3HfHWA%rnH~VFy@$6(mo5Ix|3% z2*fTu#vAA-mrqo5cqLH&1I*WV87(X=?E2Sb{>GL%omPztgI4HjLRk9aTj%}!r}v&! z!AN)dPBrT~I5iD!=@?;o=&C9=zU>m&fJ*Tu+*D`D;d__VDx~qK2vNc~xFV{yG(XNm z7h`kqZC|JZcUwkMP5?1^a(@1PaBFv``RnMn6hNj&EAkv@$IZWwP76(=61=yb_a$fQ=p zH2Y>|W}5#D0%S<;SHhK~^^vi8l7D=rTQ3~{Gz9VR@iUvaxw$FcDC9yP_+Ae?I?R62 zrj#wcov{RHf%yj{s6ooQF|?C36htPm3O@2$>XrVF7C;20^aj8fB4oDX4@Ht9{n32$ z>*3++!F*=Ol-E{&?=Qdd{oaR}U#Ac4I_8`1sc&egdanl98FFFQVj$0Y@Ze^uP;6{0 zS*J4ecPH8m^kC(ClFA<4w0*yhi7n2{h#Yvp|B7zC-_iP?>#l!{Y~#s}C?a720Swcf zX93C{Vy%V!>edP;psmtP518fB!9y@}Z+j1%N5G&gy}GK3f|qUE%oN64Y}_bUP7!DC zImr-2vv-GyzJ7$^Xbo=kM3AiWUHzk z&!V>&hT~Nf*uBKA@CkeW^#2Y1i?(R^y6~^7Q{Vk%xwYQNNcRm5evUl+AxNX)P0S@d zeKV(R%R!HspKeWLfL`b6)2EHO51=RNeRAnGStOyZ-Yllh32&+z-1(3Ii#wRzxO=kx zH}0))EgzV+5RCFLuQd(}6$C(#5XK=(f>_}ETp7qH9TgKJATQ5}o3)Cnw;EdvuD#r< zhtTN6+~!5cpd>={M8EEkM6%V6!SA?Isx602;ofVTU-Yc-%RlOI5aR%#Y5Rql)Bn%K zmK<9h>!PvNJkR1eJFdq#PFR=p3bM%6uc`#6h;mf8OeaS?6e#`vJf4)Q=Dt$gm$)IK z(#2LxnEL1_kdM7+Zx2`XDQZMmL}Jz44022g&9*%d`d3$^AwmOLOp4wOGW9`?LYZ=8 zhrCmVHxRf&!d}-1R<3wtPkkzL6_}Nk>Woq1-HD?BnZ;`{i24DCZQ6MWF9rfMyfFkp zM=*S6H^9zww!oOO)f=xJ+ZRz$6cO~Od*k$AE{lwl*{bGm=Rbel>T|K?N_EBZnNdY? z-$z$ijK4E-^m0?)etouzf>nLdqOG!3qT}=w=y%qSJ4g8z6-obt+mHd=w{hiFi9L`r z6CR^pt`dCr_XDMbyeE)T3>!S(2RU zTdLe*InLb2YZ+#RVr*a)+RwCEE^HnV6sO?G1XAyZ@`0BbvqfJr05x=S8$|sbW~6<= z26teG$Sp`n0__amTzUO&7>J)`>&{?&zw28{dU{@D<{mXPT)l4@>}Zn|KzPg9ni&bB z?=Be+1H`Q2{rvot^LwDCBA5YKHcol_(}0X0u$`KnpC|gBfDJjhxju-kZd(CDC9cWRBF&<4d0=skYLqo z*A$5mBJ8Nyag^plgmnPn0<>YI)fIO4ZXmEU(%T@SxEgd|;n`O159Mwgn0|+zVtxXa z&kGeN@G7!rfHmX3Jah)ZKy`@KTOE)Gu}LB0@g#sJlA4X@k|=yssnk<=dWuscg>bi5 z^7mqY%1S#SVf^@~MTfF}uxKfb(4nH8nLF z$If7_Tn<}#wD3(YaNw-(L;F1OK6LdKfbYwN-KaauUou|08B^-EXP5Q5`EAiPg*ST2 z_QZL4p-N8<4jwFF0x>r(5sc9?@-pxxX^S^ti$`&BQf8pHPm35HA2++-f+q5g<`*<% z)R!;ep9A%)9V!d8NMEIw#GHxEB(1k6w96~|ZVdf-URGvqyR~*FG_V{`^P$LV+E+3* zF|jt`;IU)zNPrgVfv8^A0+=C;vu#L@NO}GG^{P-FAlqAccqFFcu3x7qN7*Ubcdjkj zRuMgo*^wi+x4c16g`c(cDAcgPfU3lEEB{?cXD3DH>Y-Z|mjyN+tJA0p|jg{J-k&)r7rsk(I zH{`!yVFy6?4-$bpP;2jl|Ecr*j+;4$<75=pn0Ax|8Ok#}*>ga&S@V;&k-(WxrA|90 zzkfeMzj7t!!tWUfXkfh-3ZNp10C1vL)CpY(TiI#4-Rk*xFF=mXS)^+9_KOyo$l({hg#Vz~H&thLy zcro#-Q$2PpdZ&|H-{=G5{Y8Zhix|Kyt7LR zpctbqbz-}Y_smc)3R0wlATJo1m>x{N>FTOOPmZA^m{2Iz)>tM)gGefs+cE6WV8PFl zS3g*h_BRhe@^-B|VIQ7ikRvMyd%l1F&W!E#DHqVS2IKk0VZ4<#Y2?e74XzNxft<51 zMs@Dl*5{0v*267d!G(zcfpv{ zfd4d=q-M-(HRDLpH8Ht`K?4FlZ}(5IR6TwE9ODrUqV1AxxQI3nb%BsE_zr}Qq!dv4 z@HE%yt9owjm6WxPRoMe{OTW_O z$MiJc#L}DFMEX*aC=@RZ_p)B@>>WryP!3ZEWbq2KDdt6o^VxllLA)y8Td7+4D|j2Q z(J5JG;BpL3tVeha7&`J#y?mH%M?n zY6s;crb)nOD}l^m^hY--DEUVMJFJ0N^AC@Wj`D(rhgNh|)$jY3p!_kU2iQeIm14hj z>2iBV2Y-V_rKd%f#jnqm91H8;Rw`@>Z8I-e@(m$rWJTOtx9*fv|BAX=J1!^+wfF%{ z8np`oME!zc3;R$wFx=Mi?Ind;;s8OR9>-!#Vm0N#4npv@hd!BtZ$uLn-pRBiHzG0T z2$qT_9@{|qAg{E;MdqO(L{V7xgEl81(VQ=gA0OL9c1rlN)`7`}zjclGNN_KhOH2tw zB7kd5epsLk1*AE>jP)f$-#jJ7X`Qjc5ac-cX*IyC8Ebnp#GN}`ETR*B1a-O8Wz;)C4 z%MFdydT#DekQ}^_(Jay_KE1lY?2~wcPF?-{5>6vX?uTW`xS( zla$1R)edVxw*YM+uM*L;koX+N&2qtWG5C@0Y%OZ8ar?cLkfm)Ez!#q^^uP5-)z z&y>Y1mxkh)Gxr5a%8Gj5# zRHWsGo+-Rk(!?l7(H#>PdE5fH6HZ_6%fOjP@|Ljtkr7uD+Y%`h<9u`B{&OoSc%6!l z>+7eo#NXTNx&am|a0>KQL96HI=eL*IA1k(9g@@yMV*=QT`-p+Iu1yF04bqjU88Dm@ z0^rjpZX6rfl4e>w_<(&=s!-s&bi6;bt`@#MzC3^3!g)-8?_PF#UPetHN`cB4TX1WT z%3zO!0W@iV>HwirdU`e?O6Mjbf&rZzo`b-42h~sTa4cEX7V+frmsfG1a5rA7fG8~7 zB}2Ixy*p{xNh&LLZmmZnO|*X}XOY3;CqF9+D$Nd2;+mnGk@J90b`wl_KVSgR&h%=x zxpz9hrO|#vwtg<$e-D&p+m0Qg&gS9dmIAqA!HpprB1oc>fl`(*QT0Z<9&lh~=q>nK z`N6?{`t<4P<;lA$0*5!nCZuEY?mH}aJ-mJnvjEhQkf$B^m(D&^z0VaB%?t9AQd0c> z(2uBShur-1Z7a(k`^|z!KKMKjUlY6QERpjNK#uh4n7fD&3eXPFQL;`49ec#`yYg#K z8orfRR=tQAx%zRrd$0VJnHn4fM16IAwVdm(xv`C4gr~lJ+(Y8D&_}96UtC)vB_mUd z_($>(L8H$EtiYET25<8euq0L(f+Rtg(FPARq&P;SK|PqP!X@m0Pd{`T(ZOLd{9vZi z#A_n>$B)5@p%0;xs{1c-@7bqwabcMlMxU>oc`1Eac+ee~VZo0$bSY>pr0m{F zLTE)?QRtn?CnF;;f+|EU3MAOlRi|e5%X_Q|KkzTL!o+qrqY#U;C}mlqn1&(yirG6Q z`I~D4cI428$CH{}SByI-P?QMJ4wAQ~%U!FVVXt+Y%ueS;x&5*|opp7qWVDYuy}*oN z6y%-DbzMYEGeTp&>O><`fBJbAHd9k0aj$2$5I47)b@%MlR2I8}h%mA{1Vr-|#P-I~Yv5nw3UHNwjoWnoda)iDz_!UeGY}eM^%~;i;?ELLRTy7F{kmgBANhf6E z8|vx;9+M3phu-7Epu+V7pRrzspw0KMDS+SYY&AGiLm9j?Jg5=&=F@^MMkF%-q=jq8)O95cvRL5da90;Lit+-)Jd$Dk%~7^}n-It5oe) zD5F&jX_)1>7CpRhzoeCZDv)uel5yCp$1LWWtRZ9q!?&g3dybRVss0ykxXRUV9=3W-u*SYt5WhVl9c8iq#XnY}wxj)_W)Nz*m*XFW5jdro<1>Wq2m10Q`3ZKIN z;}$P1{Q70Ufu)Ecxy#52D$a?NCN+LxR#=4g2|UAq$X8YcX-0Hqn;wDmNOtvl~V?jr%z+5 zBKjAgEGNO8J=y{@F|6&Yar852$*!2Pt1o+s)y{u~+ZpBLg#wHa1^? zD5(uUCr@5Hwe80{_MO^Nr^hLFeNr3GN{BTS$DeojvLtQyQE5eF#@x-WCj(pA_#hXaAnXjmE>B+h@D=v6vl^lNtV?T&IT22F=42ndMC1@FyW z)b{&fPj3Ae(H>!dc@I4%4F$Wl=&z4`!FLmdh%GpM$##9%A8|? z4V3}i4s|L@OMtPN9(rv$TTp0E5_5l_9ObZI>7BF7B=h${A|i zA@=GzMk7D8xD-lL!0XTU$VyqK{HyZ_Wyou7RrBke4AdTTu%K`l@V+NfAW-#q9niA< zD+Th&*q41FcIgZH2*+kF(3{?esZ&sYq7SLT3RU>-86wv%T{0d=#G=3>#xI^kFmu>Q!qvfb1VY?}Juhn?m+!s)4~qDBW`JFhI7z=Uy$$MLGUiiq666EEFLN zA&*K**v$?u-V&;-hF9knNTl#BTCmNLBLY|)K>^Fk_L58! zfEM+b`|)d7i|i)GjoYxZqrz7SNx!CNbDqrByeevHZRNOi@_ZK3vuOLZ-Pq;of&$7O zJ$}3`l+z~rLj0YWm_Z04h>INnxt7vd{s-Gmp>&V-7K=K_L->6PvE+^uf)W^5V`a~? z_gr>xSif1j3@r#*90)6%GP)rIzQY8_2&)(wN&ta{D<=1&uB3VC5nuQU@GC@5j2Ros zZ7M*HySp!m&$?&^rCrYc{^!^xtM_E}$0BOU1L*ZDC&0zN-86z6wjB>X3K%8ops{Cl z^`!QG_>Xw#_xB;}J377>&0tqh;{@KQ0q9_feI+~F<~5UTGH|7H9cgQzyJ!8O{{;su z#e3aW*6+#}aAs244g9wANlC4TZ~u5<%UQk0PD67nQ=M_Ix8 zQLZY~P0(WO1B3`xCn%W3+9tM*wQ5**{-Pf1l56*$KYv!uG|$uw#nXFZn3Ij2jgE=2 z!d@`z=Llh%S1Ird9MFoT#oV8D=YbFwmk;E;U3wT^`OiyrLfTyXsEwCg>Jbo-gty0|yvwXc@Y~l%MtJZ<>-$ zYoOEJVG4u%9#V@Pj-4jAuZO93IP26dAB$4A>x)m5mqOyT7E{$;zGdUKc z2^mZ)n1;O-pD*_kwXz$m^dn+hH$4oA>-xPGu560kTL#;V+U3h7-jC1$N3M(p;=4w5 z*qGWb_j7)}4&;eF)@}`Ct-QL5Cp|=Q5n5EL+J(FE@saa5E0-`mS)P^(eGMruMc2ey zjH*X0Ohm;N!EC+-odXp@qjy%=#mB5X#l`0Pk5)*<%iQZq~}`!2dXis z5L4vdZ!aD`dL*!l86;&6Tb$9*0)CGUvn}cG!T-R4PW)%W_HIBwfPBTzSwZeC{pMiL zj&8L7fZ@$YUqJ@dBtwWkh7bxAVS);4F?(t`K9WQG&rdbSW4LYVY_u1{54cCH zBMR)|XVf{@1W7Lv%z$)Am<6{doI@F*`>u0eh$0+S>l zLj$?nm;(YVAa*Ae6c(e^@-t9ViaT;uJSJ9J0A2F-{oX1=(*gw+74?6arnWqMmDG-W zA3S%fzn-1>j!$FQzdaQCOw$4`)8?2BV5?X_Lqxmg1dFt8xRVX)RCsbl384M&M)evYh*%o@KLwI*lN zIZRi0BN^f5-U))0V&=fv0OuRDWCA+c-anT_zpXljlJDAL_+xlzsm z<1vteb)A0AzhVyd&yYfCB#83@h91a%1&CU3 zV*j7H$i~4lFse9eg4T+Vp=XK){&5o0af&ylj7Z^+hyR+vXNNF?m)oA_U${0sKqU_9 zGYDBKUW*NS02atS`FB$SM6H^qygtK)$^DVBG0&u$F^MN-qNS_bCcaOxup2Q?i08OM& zOhK{ZYwR7+P~s)$8IO=(ito%APuMWBO^(ZZV8)@%kisP+z7&=gC0{=O^xKV0jpaL zP82I0Dauzr9oEQViZ^z-g<+i+)^+r&wcsE1OiWe-;(=A*MN5m00yI>njNNljnj4fJw7{dXL-0XL5t{7OlcTN<$G86eL<(Rq41+#t5C8 z1#9kRgx|f(fQJXCLDyAxZQ(7HFw0w@H|`v(%t0&wZGSpb7^{be$92{fB;paEf7tZm z*4~o5g}cMU^AlGnyz{>rc!t+`r`79rE-ylU0T+N~#3wJ=6r@~+=K@$Idsv2)#KpvX z5YG7S&;d+h*L(P0s`gO#R$ir-m>=GAmFCkfvZI5bki@QpR`MX?zY(S-h1_Ojk(JkX z3KV-(Ajcm*yw8}nNqzxJJOO61va^Y{38WNh^ohBAIw+#I1iYv4e>;nw5xbK0co#l? z&Tw}QgOeRxjzH#U>FMdyC$bKM;9rRX0=xm%ocN&uBe+IT&QC{}ZpM_tGH5UVu&C$- zP6{NQYb3lOEG?k6v_LLt85vb5dXd~giaLbvFb}PPRllnR~#uXATB2w z8%o&=wV8WQ5GV+)gxB>bR>5Bf_VqGPlsCzu;>X{~@o~+!w_%t7(@UXT{P2{=Fr;P1zle-i<6{dl9m7ia_Q^`!5upU5VQha z==F>YOMP~L9h)c!7roEox+Ezb=hR5FUo@2Ex-uX2{XN5nG{1W7_0N@&pz(zddNulY zeLL+>tel6P_jxTFu>*O5n?wadP<*88SS7Q1Uke^u!T@26YC{%Z_HoU^PM!*OdWkBx zO^VQ8p}rkDvuS|;1e=Ev<{C)Jjn1`PbJg|PT47ibdhcK9*9=>An!w5a)(H{2&u1Y} zD$dT)C+diW`|PZ&K4{W6QsDY{%(Zn_YS#I9)UTMmyqW3gr*LcZn@N)hL*(E8ohWws zlraCHHG#J*YHysRSzFJg^)>ok2v^9vI-Xiix35fAM`Z4v>onQ0)-oudkYY(grLxf8 z;8jt!bH4oZk5yl3oWq^T#g`X`gaZas#;ZAtR&mq$seSY2( z_q$oI=+9)-7#g^o&X;_k(D%$GC`OLv&zz;*F&VjH+b;f=3>>~_Rp==8OTQc_!?WKz zBqwjSJl~9T0i_2*%isKSofN4rFIE1@xN>YxRzK!4^(f?4H-W;C)mcubq%M$!Qr=&3 zzS$*bZaJ}d(~JJGqPRt{v0_2~p=}$;=>bJF_JRZ-zre=M&Mzj$h>dhsG~1QJnuq1D zPVu6~`N4!eNYn$E@VA@_$guZjPWZgytc>qI{2d~ttq>1I>Xz_3>#wxm$>42&>iKtn zAM=%mUJFGYTe&j$dVfC~0w-BmuHHuShoPgH{b^kKgrG;UTsTzISb8922v{+T#YCOi z`wZHIse12V*6z8t`x3YCry3Fy4HMOELzyF*ngqH6*`6Nbo56TYJcVpzR>(&h4dJA)g00u%f$QpR$>) z+@+c9K|OOWOUu6~sZ4EjV|zK- z+0TegyApMe=6gtkNnV)Fg}6YSj~_ouLFGgt!<&YB6&uvFU>?Gj?g|SFgZ6lVwq^cK zy9xHhgugJRI9I&QA*!$3^DkS?;$j1La&3ObLkSdW#%xifJz{M{Kgmfp#A8)KMwHi4 z1MyZ|WIVwt*mQ%S&?#Uz6GOS4h-bm7FACP00ra#LqstV9J@z`13Ghz(BTByfeWYf( z$@9xQDb$xd9)afq>MY5!C&$t)eHWCVZ(u7_P;LKj2LJhe~J zp?2c92}MaIBRcdUZ;uJOU{5s9xv|L*9E;U#Ml7nuwYv>BJF98GJ20EO)y*VX)V%Q4 z%mLnECJvK9MEChTiP;UV$Ckx()h~4&8vR}WUfwF+J3AtqNX{40(^X-_k>83fMS708 z!m64m!0u0RnjGK{SLP2t_o^>F6t&gS91nziqJc;>S=_p%Kx>_>#ju>}o>y{s8j+qM zA2JClTeCrH+Xk|qB$Cm6!q5f#vz2i;wvp7eIhI9y z-#qWp54W2LiG0IBgg#^)LO!#OJrPIl|KT5F@1IDVFEw(>xt-TG3G(%hyBs>@kjvRS z6DgBJ#NkJw_R`~wGkjpIT`-aH60CJQx{Y`5-`Bi+$$+N9|MqQWoUHx;u*nGv=XLkQ z7R>$dc}D50K7v}Sw*sKB1=%7LZGm8@h&gTwS<4l&X#51k#QFupf;At%mx=?dmbE!p z>~*yBI|xhaTcbBjQ+2qpVe#==C7`~ji){ea$u2(R3~5d5>&G=Ro3F}MtOQ@tApw_L zAgWiya`vYNY;dKezz|UdPCwu^(#>;rK21~1@I;ht?stE-F>}Gl&-fzS<{1+Ab5ao4 z*nEDupKL0)j}eLxV(8Bm(p_8;U`?(YhF2KsZmRmu1i+Vz@CIfI9znjMNAp2ZAHnUS zgY(9=G|^T?9df`_P012&XSaW#cdqMNS-af7MKx-aL27Wn;9dvKO8gs0s??g z4m%n@`V4?q1r*hgqXPNlQ09IbN?pUmMD0`Zm>!=$Kj*Xgj;_)=KZsp$RfZ^iPFk3%QY2&XkP9Ih#+Kd|qwv<8NQ-vMH0TPu<5wkZh0<%yIz#WVT>&EpH#oQ+X{J^4)Y;*A)4e+x? zs=j$0D|K-4@8J<_0A3AS+jWdz1H{HHA_5muj=s)oJaI(t0*)}0S_|5W&`B8fwF44MjlH*g}s8@cwU6JCA zsSH$XP3#({!>eANXb5ae1Gi@1nQyTfk}r~ph1(EaaRgoGgTH!lXa3T<&a0#j61%lT*raCAy@x3J*7uZ(&*Zj#nBsRc@>L-~+f~BrXjC4~L5f1tU-4 z`jgfHnr1(|!$t+87I*P-ktm=8Ha43CJt`1_|3ToCC_+m(BkM2u92RT<^&ndI)9Evc zuqqyMJZKDBx5x^HU`{EOiDECfyAV|qipCwZgtAJ2JyxC|G*v%S=%hB`>HgOI(K9m+ zlrppmPUfmU%>2_&L6!5MZ2eiogRC*ER*n7D#EpDuhJlkVFyf%ynQKAb-cpjcZvMnq zv$i;v79@gessBFI+uOU!pRzAKvI%Pof_VczlbCmt$)7Nu>4#Byf>YiABSw*${-Fz6 z{surd0r;HUzhJR-;OTbB`%DX=5e#eA=mnbNVz+TxbYqBgYy2D zhu=S}+!b7RSxdim+^5m>!guzG!>_i}OAb<8N8bGHdV0w;jy37F#ch9PgLW)+43XGX z>WH_EkxQP%m+H%@($!#=v!d*?51vo*v2ifJK$Td}#T5wc%pgkb3nX{%Ogoc-MV`tSLTsm+0G~>#hQjYAT-KUxRKTb}#tBG|O3ZF--?Yq5YCo zQ!LklXok_7pN%=5r}@>u?q}@5l0G_vgM-mCV%Q}?{L%P~5c`C@*+w{xs6op=!6EL-pRC%`Q{?z$WEvA>7SSwu6zRBh|&Lh>|6NI}p&n^*9ut zAGZ*016M~uvBl!?S|5d$_N>tCXH}gGcn+c${jr{sIOy?w2wN=U{Vreh=PN|B1!|aN z34k{tY%$sAfVhbuv=CO1N+bQJ7S$>k|J3Kf+xzR0l1%c8UI2RPpTWD-5AFhv3_2V# zzN^-POc7}sXXJUBCIXFJ%(##eEzvh_#-5> zoQPdWz!tn_V0NoC1=V;ut8E`2)RIr3%U!QptZH=VA!4LSj>Wa+r>J6JBvaXxR4#S4 zds5WtbX`8LQ3tq1LY~T=wE9%^(PmBg`iw8fK2ntNxY!sYl0i#tI(0^HS1DDwij%Xp zy7?7-V{u?10hBAfmX$6^|MP|@zDgJ-0+5A0@Rs)l?LA5UW&(=Y_GimDRVWnry4n{G zG_xqO1w>s+WTg^MJf6=69G7V6PJ}I^?CNAXwUyz3Byba)2{b~EX0`)hq^vz~_rMcb zdvGuAQIMA>Dg6}I(9_w5ftWy!2Wm~9Zg5v!hDE?oc)#Fl_yfouH#j<##n=ZSP#W^W znOBX|kt7zu(ims7-9G$~p-v_QEQaSr%~5_eC74HP4=pB-i{0m8DK&qBULwjVY8{4c zut}1;chgh#NRcio!cH$yVg`di0wD`4(1;KBZr*oI22!wKJWQ4(R0U`OzB3&%=<%{t zA!rG`6j|&D3qJCJR6~s>Grdy_&^v8KtA@EbDPmW|w+7+uim?Rw{*kDnYbd-yPH?lwGe{0a)2@CN$^1qF4?KY94@ zWY_*+4bV}9^d?U{=9yU7h9Ddag0#sJ;$3q5LBc|oh86EpWDGzfj8u(4z+w?H^7wBx zjM7B11oUnz9)o%uC|6TG+U2#Qo%se6g?M9j{cK*iDEyQ6+)oNBVl zl3g44qImrDm~>YyD~Kna@)eG<%xKJwdo(999+!|1jMnQ#pmdE%j#Q@mbGsDfQ(L+? zH)sY!6TV4i{N93NQ7UD1R}Aae*!Zl%eviedTs&0fN5&5GXs*1UX~m*1vpSZ6F3#yr zT%5++(h92e-&m{oN?m1T<$eow@tBSN8F-+87-P01$+}>nEpeb?(_K<{dgpCayZe}g ziFN~$6N^(T$s*uJneRx`*n4%#dv+l>{SAnyh_O~o(rPG0r33q%xd%WI4nP!b`@RXg zsiEX=I!J}Ek%fyZhjpyl8iKmmy{<){W=KlphqHSwf7J~PhD_AJ%`2vPILq{rAkf5h zfXRvH2Gb~76F$YW@i*hL;{je16oCX0Z=^8nXzXj_24_Y+bn9J;S3AcHw`~Yl z(YDjeG*Ip_raW}iX@|!-_r)O|@kPB!(eeDv@f9zEX_a8)!h-GBW^^vMRQXA27g{B} zJR9e1gL*PxK>P6VBNk^#g07~hyGJiu1wiK5|eP`|8V zJ9nCTsJnPHf<;K8lI<+LAd<0JM{LP!8AR{0TrXd9X;0XilwAM_V5dU|^L9c67g zR^s#}d)4sm``_5oZQHO5C+2;0@v*xv9ao@#gc-@%Sq5v%Ze?wToYPvGVQnB^q;O!& zR)kyb9=Qnji;A3Y)fWEX`&>6W`juR6uqnP^FfV)Xy5IY9*7eN_t%dlUEy5A!hl6uU=u~xj43i66h~s;g!IpmHA3Yg_5SZhl9lCeg1r4Xfx!W;ACVJ zuP`w^3foKxVe4c{cPca?mWId+9$R{V+5x`jeUCP4Pv*I^N}p?te|Z;7)PH^R>ee;` z-%W2U$l5nv+7B69j?b$)`XE2@g1)cqOu(5)8i4 zI49YP1F(T?#R+Q~0(PJVPb_g;6}Q*0Qi)KOV3aUw1ui|ICJU{Ho|`nfpAw!^9>OQX z%F15FEN)M`96q=r`&n}GRfktyM<_yPwr@cQ1;6g7+H}m7qZ^ZSitI4AZO5 zosiAgwhBaRPFF7f!CJ4}9HI#$&@1>3;!M%=fR% zPcQ#{pdehPh#0v8Z%e;?Cz$Kiqo>%pt<==usf*5CUYc!<7K!8|YU6;Vz2JI#J+Njl z&Ql5gw#3A{^&K`kI-wnMyXILob1S(+gv~7N;Q*x|#<}Ebk=wHYd@kR{#sX+o&{1@U zgidb^$RdDS+8ezsG46eSvrONhAZ|W;9+yE@`IK80~t>6yB3r!AOje-q{gJNk_P2>9OY< zb6xmy>GS82F&3!5vL2Gb;Yht&EPCT!JWcU9k~7Pd7Q z|GLpSQSW{zQO0Hitow|-g`U81KLZ}%#5Q2u3OeQR{Utc3)$SbL9W3=WPM_ym%vFv> zf8}8u#k3Su9PWvj9w3IXd#>bnOuL7}KZ54yT@7uqUUYX!+*O0X9#OA9^Bf~qWBgyW zh24&y&bcM{@TlVMJ~T?au#(uRQ>iH^lK?GmCjPUGo=8ZP!^hK6(THYCe{;^N?i^rr zIMliR{Ioi)tmk;EF5}7S)toDC%3qD^vRScWg{hGiJ!>63M5ojeh-_SAv{Aj4IUuFx z4L@YE6A8}=y=T~Wr)HjzN^y$9jKzf_y6CZf<4Hho6jtU9&N8$c6}j>-t|+z+W!WWy zIpl}z2VdPtbNfTr*)wl1Ah(OSCTiC_LP(F8X_4xso;j*Ww8+PJu(JhnmRZuy->}X8 z>khOwAYTWZ_gY9L*6aE@i`-y7_F0n=n&iMrltdUPTP>Q27S#6)D4@FX)IpU~TE@OKY%x7^i%mBjOrw3E~J6PfueibzKSs+A>mWcIR?TzFvlIvFnG+n zx#G`{W0b(GLthwI-z6rQdDw}|X05CM77|MWka5_xwQa_yaBZ9BsxTOhZgD+%DDm3W zt3nF$>H67b@86ZXJ<&fUeF2ITWFaAx4?UxmM=l?c?IWQMx~3FEc^f37+WssM+k^2+ zR+v}Xb;f#bqWiYXP^9guadKF1TXBr>w5WN#z=dL_Uu72|QzV8AaD#ffx)jP&ujPu4 zC_PZ|_@|hO0uV(2%Fx&2ZuZppP*wi*Sgm^<2f+dUQ~O`X9QinV;B?=9gw4d=&7ZGp z`$NKLx4k^Vc7{e>&fs;ILWm5KqBEi_3-~b%x8YL1y#R<s#ysHQYOV^B1<*o~578 z!Pc8~qOzhlPIMdqYq~z)ZtXT3KWA4BD5nwVU=QRL(MH*ce%O>;H@4js<}g=1%Ud6w zA5KVa?D+$OjAMxju=Dh|)j4hJF3=ku|8&Vs=uCH3BnL&}(IpJv4mg8=+Ry{3#Qq!Z zg(Ub15aM+kz`tnX1IR6r?OF}b0?B^`j)bfhou7|?(uA*;+^EmLdNoB-cV)q$ZTf*i zPq7I&Au*9?|KWZg#8V)&b7viH8_{aPpv2ANF&D1SeGk)9`Njo00wd2sQ5SyLYZ*;> zXQ-P|j$t+EYKl<3n&R$>=L}T6SXhB5RB@7BJyY4%rd!mK!1Q9(!3jgb$dt#Aqr`I7 ztp>V86vkL;-lpNH{Q2u^um=lQ^Rv`mf(nAD6-0)5Q|Wt{G2lda@?kpKrU8?R32b{5 zUhvdFkWPEp5&WVgh3AGyjqzMHOLrcO@Wkb@yU+c;aV5m=zs53?$Q)ppXT}D{p6Kr4 z$I@87P2#7O7DojVXBCj@@nOHnbLR3(oJC$lbeE8rvv&4b)3D>A^bQ6NaUdFblViPd zF_%j#d`3FtVmMaY&51^9YMjVzj5A$7=K$!dpUQ)Em`mJ`yiX-nZ(r{71krZZ;*GQ> z<6yn+T915Oh2vk%HexL=IIsf%EU-w7>=D5`0@0dPQ^ac z7sZGsYx2s&XHL>%mBXJUzH6Vk%4$k15Oes}#@N{=zS)jHFx8~k=2Ai9M9zd3$D%w?)Z@-O z*@FU@*lQlnbC3Rj=t*Is_oe1~3-cQ<&L}d z&d!KW*iFW9u$m%9-e)Zt_dr!j=m8j*i4GP8{3KGK&2AfXSwZ#L(r#cU8I?CR{qX3f z?$-bcFhr~1v^bR1^7{4mKlfVJZ06wb$Eh+13)nR;2`(2!@y+}l6*rGJNIkM`=TDzjH8%%kUP@^U zX(|3eIfk>Ju_GTSL4o2)l|5a>dg+>M#953enS@rpm}Ww>Pyz=$WNkb9Klq7&mO;CR zD7<9d=1+^^LHv$7`Q6w5=1b_VJZkvaLe6FAK)7IOTcts_Uevn74A4`kYqa*C%yL;N^e+&o`F88mN3E{bporyzuqunZ&}d}aZmYGxM| zAIahMgS$+N!3xlNGU+@eD(;KxizDv~cBB_zEo2q1&c!Wwz)RwV8y_5tMK_TrO_f~@bp-Fahd2_fkbF+@#!B7sgoCe8y%-s{3HxEB)R2-CC#@;= zPP&YD(j+%NvN^Y-Kq=g@z5{T4X$R{(M)e}aP*Z1H5GjgDCrA=QqVq(W1wVohROg%oaLFO$)f*yR&a$ za6PL;Sl>K}Uj57;hYw`J_XrHm+6~~droxvVVw=Xxm4e=h;thcj1fPQ-?yog9 z?5=;ifcI9f($j+y_`=z4=ER#-nG`DP5GZOFrAno#)1uE#ew|Q*9~d05ddZ`rqPdF( zJb)rYu6dSl{$7mJ6$R|i5!&+7*OeADXs_E-X zx)L`kSMaiQ#Q$uK6Du!`tG$CmyYQ9ENC)jl^tpOt&H0C|G{+e>9Z%)N)zV+L;O3;~ zqgn>o^g(sUwbi5kw`gD0I{q^PSN~4@pot<|rJ91LW5RB26Y)QLr~cA}FuAaHBm|{d z_`>sN&qTDBhi_z$c7FW06>GUD$yYhiPTba+eAm;%Cn)GAFNs5|e|R|E=>Yq|lXi(g zs{C+;$Jn(Z3wT0`loMEQ-(%H?lv$x{1qhM)iiR&%oB5F(o_khfTir)>%c1~2}NL+8`On}Fb;ed~>KAMkF8`_)Y;y?UhCfR|p%c9)8f$+9_dm$PJ#P2 zy#zs2$CZ-eVk!x5z={j~3wvZ`*?@rM&b-cvj4mbOlEKpL8v^PNv7K=vqLhUt^rzlX zeh_j6SO_mzML1scj#(Q;Zgr|_ZDl6qXw`ib_H-Gw6VII2fB>k)*nMc7K9-KbykFD` z!sYYG2-zx?XQhI$i-*{2NuVL<>AFoXX6)nlX*v6W*mz*1*qzOt4IrJRr-DSe&{6xN1VFY z9XR*k88oM&^UM}A(G0OlnBEEWi;m>b0U})>%O=Rr1RLRlO=Ol}84e+M7R4XOGm~M# z@sGSSL@8~5oL7^t#?w{Bx8+Fw2X*m_ylcA>AApqEr1%6r@-0{mymTOaFj|wfV2iTM z-#QgnR=MWyd|Tog5Ac~!=Cwb|Ut!km;vH1ZR-||9d}FQJf`wQ_U+uoAR)@r!{N@?b zz!oGy2PY1*Ns94TSBvs0OYSnPk?!#_;E^e}aGxJ%gFQb0gx@BVdCYT4L=yz@Q4Qcq z-PASiRoG=6ZtiS;LZq$1VW*E12=eq>&!O|iSuSK`-0i32IQwzkBPL2?b2FBPur_Va z4#9jC(@fuJ#9rZ&L$tT)lQ0kv=kPEC)$sy{E^BSdFb*2U0OiL|o~R?p#&?}1bU|0I zUM0jk40TjA$~{R+1#z36q*w?>hFgg`zJ1{N1OggMTp2SL6$8W!;TzALXH=ZOZWO2@hs89eS19%dLl)xWUu_gYcBodaA zRm^OJEKjUXIKZ!jqa_HhR8fgnvZY(vX%g5%66;ejEXX^LhSdw__T~#8!zXK=SCEqv zh-q$~oShppK!j#0M%Hs5o+6MXiw416=|8}uvmne5w_p&0vY~f)Z&P4g$dpn`6uTRy znT|}AdN7OYSy@$;3efonXy%Rnj=6J3q~`@<&xzI^ANp?0?-k`q85g<=zv0jR`ueE# z<;O>qI?fo_Ixsbhj&Zf^eQOgb1)dG!2gpqycZ^{0QNycAyeRH))1G_xkPnC$783&E zAz3p-;gWaI{G-V$c8l*?hvVCSJQv@)cMIATffiV zRR^;cuRV$LrTuz+ApOUkykqc0XF44NhEW662BC$&s_#9cyHlA)$d7e@)8P75b>CmE zV@i}P)jBvg<9t0br05dgZl%=>r-V-=jvD7e|7X+G;JdJ|R{Adx4rpcE2aVMs(# zh3t_LQgj=k8_-MU4KY4Ks2bdf`6b$C9!qg_hIm*Oa>7AGI5zNenQ7hVJI3tRVk7gf z(fhYMLkrwTUY`kd0sc;kXqV!Zo~omj_XS32PU7VuyfV^@csB$n>#+jxGJAZkTDW%; zg=_c4-1)!hsNPLyV&#Y~Va635RQ>OF5G1uDHLOKg2>;y6kIdMo)^wOQAH3_Bb3)bg znz`PFHw3Ej;7FS^W%JU3i3gQtjUZMLsGX?*lmp;y=dx5och_Fbkh0vvtdvz z{dVUA96aakFC1XrlGMJwYf^0e-{tk?)UbiHy{nj~X$h4`aGxh-w0;KgKi(4wfuCw6erKLJ3STo||jMK!FsY@pI};=vby&P4P{PU4F&z z1?OCjQ;)0+Im;FTo90);PM_QvliS3Y6FIydtuooL1bio zP*S_Wm5m!WB1T$uNax6r2GZ+ysG=_kQoTI>Pu8PW3*vv5kW9<=%?rGn<7LnnWXlbV zC}hjKrk)Knm~cRR9;!Ms9vydZ7VGMVXIvZ|>LD$%jp}J?3iuk6kiZDS2OejqA}cuv z8%jT%1!Gc;&Mj(j2EAP)r?le`+3`s>LFBetUA(CCwkLFr-Pc0QMMKMg4Xi!TaHMha zF?DmW5O!e5(Y3VCV$KDdR|@N`jDGV!Vu>p*mPJu+T86Oog@!nV7{^fhk{s8^IOo@Z z+7pnKjdprIUN7i!?E#KfNNJPXZMb=O3ObL<98mYk5x=Y3bsi^S<1%7k@0UpAgt|bg zzGDKu9a8ED+w=dC9Fe?U$KVpr%x|A!k<^iYBs+9RFAUUGDB`F)&5l-5kGyO;gq==( zih10__(m|c@7NoUuW%KQ_Eqkm_+IBz@cR_bqG`N?<5AK%MMO}HdreL)A3whVoM~kh zZA&cKKsqoT`QxLcf&ozr`1E6Lt~UEkre0ky*N$P~cYKw%cmG&W;DHh$Q zf=>NJ^CezYPi8Ovt*e9tet%SEH}02n)Fb;R9wOs_^lWd@k(Faz1Ov)MM!;zdgDdVD_Xw; zD+m9Zyn6E+e!V8eM~kA`m|x=teqkyT!1=VWut2uPU)m1SRl(7GJsKK=ew=dF9`G}4 z^FoGIwvNI2|3%q*Ky&@~|HB`VBr>9qGD2oXQYo8;%#dUxqbM4p$Vg^Z_D=Se3Mqw* zY!$L96(OO4lv(b_>wA5FzyJNa&;2|1xvz7bbDgV@&-?uv&*$U$7}{Yt52Ame;Ieyv z9V7z^o6aWq(xtq#r%Nd~poRo*T)j@O#i)qfP(H;sz=V5^UX~z_6RY#M=(G|SA8U==UAI22d6msXU_bG0Mspf z8MY`_z7HJ!EeW6z5UZuNb$#I$(j)HGr}D4Q#h3`w?*nKITE+-4XL1#`LojCTfYIHI z2?jmr#TmiF1iOKlm||Y3f+#kW6EWPyZyWvKz#JH>5a8z*;Rz-;1e@CBhyl$tzNGMW zI{U5hm&s!+1#$+R^FQBRcm|URDx_bERWDA6k)H+F%}`Wp7`_F7#FyuX!(EYM0k&oC zEUR}w;HXy(Rc2sz0ny$87<;3w77e{AXIOT7$2XaKsbJw>I=&lV4aCueY6&f* zC3Y|6w&hA9AlLilyJZ_l`Cul}%wjMkssGgHAd z`O=ydE2{H@bgT~!c&))*@HmtqYlsn`fQfL8=g6nDW$9{Ff%QYuy)Bv3zRP^{qqcY^ zjc6&{Bn&?f5Bpj-g{z3OZrkiXRb<3?>V|pufv;yX15yNEzL*Sd+)?g&Yn297W%Tyg z#UgKeRekTo=Gl!@RMwUe7^>UxZ`u^^v~uRJ@*glMTbSaZLLYqkqk5ZCE0Vj?W&I66 zy;1%DNxccfrnVcHLl2deW@u^2i$ktv!6WwWYnbE%cR2>UZ#9LCrm+)?K72-CF9-N6 z{O^z>tobqxuniw_pG2&JBtWLrf16{VKvBjH+{->B4_*UmKI89~7nfdl>~*5jkS;?j z73B$1XzuTW7Yz+#qW(JDVjpWtvL$HU+0TiNnKtb{%jXacoc$m=v9ktc)%}(b7l(;m z5ZX5eR1VY>M7ogO2-ci0hPH;&}xgcHnEJ zL_0k3+AdTeSG*oyL+l^Or;s^=S_#~k(XYo(E>y4lbtlt^v$n+g3lvQzW$D+4Fnv|9 zleuh+z!RhSs*O9$4&^*5ytP)VqM|>u;BND%6G-69?(MKTgu3(GK?5AhhqFpRBBYE~ zXD}rdCj%Y^;|J-Bx9|}{JzjF}L!eJ)&uPjaPP`^Cu$jR}!vqR?gpz9=g#TQze1Gw1 zq(s533s~koB5x;Qe{y2(l!emi?gjKAds9j?yqY$;c(y_>12C)!qqv}NulwHD*At%4 zYx#}DHrT1c%wD|s*j+Bp5TjFXdm*U3gaCQLr34PjV+g)(Euf_H@4LK&-h@6P= zeVEk+8l9BVKr0hK5ODy!m{AiSZB(92U{3&_Bj&s)*#QZ0=-k;K1gxLKbmVFbk3Ikhhn>bzOj#anr>qs zapO`-+T+I@z^r`WP)9tmP(@f{;D&+AbDW{SbZoQ4aDP;)oi79kbX1I+Ha7(Sl;=xDreU>slvd0(AdQ| z-C38ggKhOqjekiL30uu&8HJUqlDA8a{TCOY5Wf{@qLl8HDXY&a2*Iu9d%l4=k1gSK zUSi~3G$n$Q1+Ra7)Ii&PAY;(5(D^l(+cHL;1YFs-D=gcfMmmfQ5d*g*}~@HdsZ z20Lj9;Z(|!Lec1E=g~j4SXWky8|KoE1GeYRg7BpI>qh`}q7P$ot1#;pg$ zpZv0rM8uq~%IgAM!{JSdKO2{9cUATM`^;df2KXm(yjHq2cK7`o1qI%X`e2OJxa;p6 z^$ffJ~GC24m!Xg!#)I;fwkA` zv~cXB5m1{0y>NAIu9)BO@gFhf&YyRjZY<33?%zLP$7Jvp7K{c?${mur+ML#{Mb~zm z=G$3(f6E3%0e2+i$~ER?y!xZU1I3A2?{@7Zo0uo;?7u{;;rt|LO)oFEi{$I!gTsz+ zzfA1kEFPWSce7yOs%Y{0&^q`jAaf}Zb2yA0&rmgf*OQgh(uUJFXf9c zG;r#eA*ER|FKF61l_G)&vh$>L@ z>uI|C>A0Ssxb7JS0IIo@g+^-wi|w+{S=Gp0R0g%YIZd}4vnH~tu6*M%F}`YT`M~&LQBV+Ah#kQhF_X0bpgSPF%KM5C6lGgZiT&nd z)bPlLkOt!N(Dk4Z8I%7(Pkh<+y8SV`BSa0{Cqz;U5?c1`3cBi3xT!%x|3`Br!Oox! z?kz>b;w;1>y-kcfirn6xc31N8KOTRgv}LpBbN6>!-lxRA=XYIcd5W5%p-t5h-k)6AtNfVW1{KT#rVld9fd$0$(g7$T2^lT>KCbUuZ_9Wl zT$ksiDQWt@3T}^BQNRBT5ai+S_|~KfzO=0@em701sJMKc{ZXt${K9vz=6=I0tJ(BE zjJxv{;u44P>@5PAb(L${@iEB3AM1Be$$TqVUD=dwsuzw4%S;oyta%0ysMOErXIO2pf_Jjh~&ka81g(udq5m(B&+9Dw=Yonm+nS#>DaI~C*}<#?4CmO zk$9Y38tZ$;pE|5t%*#C6v$Az#zoHoz^=TtVZKl&X0qHi!!UC{A(B^w1peJfu0rWaw zu+;n=r=^8FZvM6t4&B>m*!V}q7y#G}%(6+(c=nqZ>M*$aY*?K85sv$YgqMQ;Wc$9l z*t3<*;Xj*jK>%zEybr^tQul)JYoj{%4-o=@1Q+kxmPqY=lNQw;Eqndrq}$Y z;dt52O)$P~??Xm!wsh+psiSKYmUamWYMgs&<{}ZRxvN}bCFk^{tF0@n_lZe<%KE&-{n@^9ie=vc*=DX7y?!x}iv6;KKSX zOUz-BSQW+I(wCS|*FD8>nkGr);AyFoT%bJKzfWy@JO^w6XP`sp=bO}Q3wz+I^6TY| z7pJvcPk!xWbD$l(9y+wn{0EcAcn=Ig2;CQCYydpIxEKmk4oF0|+z0;^gX+@W6ubh% ze_lb%t%dKVVE)`d@A}r?O&fhCoO(sgWZ^w>6Vw5nCpPkHDsmcGLK;rkW^XDM+0`Rtw>TkV&`~!)NI0R(`yHYWz($9+kNzSOgR{YQDb8 z+*Pa024~bFzJ+H2m_nVg+MAyzCCC1lH~)5XG(^Oq$Ybf-Bd925_L;l3!D<=O3u1r` z^|};%Yk;Ok?f00N`CO7NHJB?|nMcdrF^-zm^3EiH8k zmJ<;dH*`AmMZW5>jHQmW?dNBGej+2>Bci2>n8MW|F9$5p2H-*u4;<{Ak`}6z{B1`s zM?IzVpYyW%*V)sj12BzAN4YlQl?>7T_ZH{#i!h8JeJ6=w7~k)(7?ao@bEq{cjHfTR|Qd|a7cJ=sIfL{<3TvT@L6A4fiQc>iczto5*P*Zd~gV*65$WJP7 zM*BPL@B<$);JEk!cvKM>5RWhJ-F8GR;HpQ!f?&Y?8S3ux`>TJSG9I&yBe;?h~J%7wtardqn4GdBzL$R9_s$a`Y^xJOg~VPxIGj-DG8U z?UU-icLnoX*nypb`?-y#0j6e`5R)Jib|RK=-hZKR?sXK2x&b=yU-Rj~07D6$$ky{ZKl%d$|;ADadL)dm)b4-8`D>D3Q4F}Er zbPg)l-+r5S{!|G{hgP;8USi#_p8;+D7UCkC*4%LS+Z;uJ_%4-uWpyzX{9L?eW}$^bIgnSZ`+R?vhFm;WdTj(T{e9pb8%3)q`2+jDsLc$ zk-tcu!yfaV1R^2Kk65>}wZl+4t38(8zSUN1KH}>G87Y71fVDhxfvr}6B{Wy(m9aCf znw>Prv093?-}&Uryty^TO=Jv&PCk&N0YAQHwxbC%o=EURQLjcCdajx_&qW`8f|8P~E%~B{Td4QkSl0nq* z!}jmOLESV)8ts%avs{Nc=1 z(prOy5XXHz<_N@Y6Q7kl+s80jfrI;_k6s~=4%gdBE)b)TGiS~aw+O7fqWd@BK|Di- zzo_?!`j+--A6UG^H&l2>wAH)prpkv)?;B_i**Zaldf*;^q{9MybQqsh{?Lozwu&4l z);~3}tc7doD%W(3(|vI%_umP-UTS3)7o0NxpSC}dy?N}~|FWL;+reoHM9U+&8SE1T zF8;?uw9p!|$0Eb-`q!@wBstajBac3u0sKADv(=bTj=@1LK~&GHCm9uh*CDHGS-^ub zl9A}_CLg}Vgh`nHy4Ihe1w8o;4o!Yc4O_)FScgj&Ou1Z_`oD9gXcbaL-gw!*(XyTF zKTghH1+t0k8@x1sl%KVrZxXDXFdcwY+SuBvfPs$aZ0I$PmpgD0 zyawiE1aA=VOil-u8~{L3?zX$%$k!SF(2zEpn}=F!?})8fY9HtB^=lYvDqI0n|g_9`B3gx=fzb#P* z(-nZg6kR7i_v7P1;GZy4&^#R|^^S^-y$e?O0nqpi!E1&u^~c9&CmruR#lSUt7z5B? zK&N8bhkI#_Q)I%IpnIFb=r8&eNTWc(VRIj=xP-}d2iT$e-G7I^-rN5r5tVg4mj6xb zHfXVSpC91uQ%-3|y90-HP5-fD{u#o=kPA-D^B8{;=ZW5rYUZY8UO=!K?LE@@~l?FTIARjv`)_upmX3(n8#1zx<8_{GPdY3X6?s?Vg>HV)S zcf9Lfm}>voF12&+&fd#E-Y4!HyWXb&VfSL`$I}wrZzwYjBS{PV&TzB28(j)ihuF=0#f2QL0@Qc@(qFn!J1yk#a z&6~f*H3}CO)nOpQ#!VvbH&ajEJYBgc*Vrl;c*bj zMYD}m2I392DWs`4C{03wC909m(UidUB%%lK&vA zxCpkz{QNwWmcd;vH+}A<0%9S4H?Tjoy7y4=R}+o?v|nLC0W-2cW}hv7i)^q`ft@-$ zvx_RZ*B|^E)4$k#A=9vGd%p6+u$u+(6QQeXrH`=rSTj7k7edxQgb-&two^WM!WBaq z3hG2=P41}KH~oqQ28AKP!NjjhMn&HfKvX0~UKmu6)z7OC)ozIu5j})K=#mo6g@Uv#7p@Kc;jBmU=;iEwxum*)tBS?va zM+We`2BDKE)rcnqxMD(Va$23l0u{{`v~Y?CzCWSJ3Cm!WYhAGOg$2i>&Jh8h#`oA? z5nS**97F6C{TY;_7*@&4%jXpr#~sh*#j(p;MYo!9E$RTP z@NamVZr3>(XmJI%Fbia0^VI?qP3E3V)U~jRe3TP8OxJFBd z#9EWZ8?rD3j(zy2@vRoZDEcoIDuTd@L5OnZ5(3af+}>$kTfbrX8)!fWLGn29S){YC zk5E1j`_nf;D;^rARWoY2YKjM%D zHB8>fhjaG!L#WkAphL!|VU}2Znhl;3MVvjWFRv*(xKp9?l|n=8F1pI-TU+9znLWaH zKfQ}HWgZVz7d8FX$_uPwWaRO$XojJE zZEtT}$)!z$f+|vSazR2F8cCla@jYh+@vr|=-dE%ce zSVxU+@#~fA7zxhbwf&1{9Z7=OD-9A@4|u{L_vJCDR^UUYUA5#0d&I*;NhgNkP975)4YNL{-%DM z5F{$Q=+OgVWXTf+7+=N0FcSqMsGu;74+(cBCsn)o6Ly((U+@?HVR`sl+$)?NI1oi* zcX0W(azGQo&-SbbQhW?NQB$jEYctyG0bo~$`P=soRUw#>8^o#TrTWZ`O%2sE&WiS* z-@L?l{_C6^EQT2_A2T&w2mkX{nVE5Lsqi32-!f6oI%+08Nci|WzwE00&Vi7#J5jWb zJV79ioI}5NS($92BK_m1Plo{ug>kK4trTzwtJC8=3xkP@n%ZlGU~tW3&hnP8{*jJ|8nRioSDaJ*rvQuh+eQZ{GZP9}Hy( zSb)0>h*Ipta8EA1B&}rnm353^qIx%P#PiZ=-QE*kHGk@W)JwQ8sZx zwE21Gx^NC)YCZ)5HNuao4%<%uLae(;d-CpZCld-G?cxfTonOH&C6uTwTee7XFu;=B zr@@Mx;;w%dAL{X||3mge?#FteXp#a*6pfgS9YmD}x(S01&zO7=Wr~PT zUk77EyC{Rq{&)GOE}&7EtZ>3yiJT1hP6UNv66tUC6kcJ5!eu%JOH@3fj+))a#q+<5t1I(Dhz>w&v!|HTC`t3%C2QNDj% z+^21nwWp_NWY70cpEC3+V)b>9OG7NvS5bxr2YG*2V$IJ~qA(*={E^=v{)zNRNT&2Y zTYq>F?{=4)IE7?_<~aSFnW5VlqVfIe<;&ZUzaZQuzSh2Y95< z#J)IP8Z4W|;1i>)dJI zjvd9FKWTn6!NV(AU=kzemJ%2ec4d{!H=Cx?s4x>#g0`>S`O${oRJjW{wvYH1eM<@U zX#LtW(ZO_UtAb`6NQLD>v4X)^^q(+Ue~yzS$j4_@MZBaWQa^8EF>U~*kcnvd&tBrn zE-DH|?=J+HAP7_KjEoG`9{yc`ZBqyf0Uek&k`Y;uF8CZ*3t^o2)DH<8#o>*yP;Txh zI;}pQ9;E)FvqeTiW6gHvEfQgLl;>#TvZGF+z_j6kL1bEYlVI)8#hW-AtYF)%YQ6J% zBJ|kP*k*Vot!8UdF+GePwLsQy%cw{QT*9pCW>wTxJ6Rr@axesREv;eG(5Zs z%wsNvIG!kES(`d6Yh23H%>AX%io!K(2dG^e9ORN?E&vI^Kq9_X%=iufqqUCL=ciOY zmt=M7Vibwz()!g5`O8Efr`i7dHZG+S-8uZYa=iz+(em5yS?I*rqr}ef#rw z=?C#phFf|727O<~$A@sSK8Eg&;HEf@9v>cR%u0Xqgp1(96q=V;0`8Q5{qXm|lcYVe zrJE=gpX7`t(2Kq&Aww9EbhJytnS2?L9CE;vVb}ZQ>W>{VXP(E?Y{|G0@cFv%^BS=| z?AL$=sxApID*L=~x3;nx5#vCe&d6wsljLCWy2dkR(C=4x!R{}+HH!}Ay{gU%d%MpL zy1;tA+>=DpbviSr!1;tyX35|M33gcfP{}202UuWQ$%6N;7$hKI7;!+!$I%9C6B`D{ z0*=j_qlfY+7IqPm#5f($2`xo3X97$pc8gq)uPg4{zFjo6Xv2q?Q!^gGs2HpivF=Th z*YVKIE8!{3;DMu)UhEZ1kbMYcr6O`SCQ%r> zQ{vkQjD`Cr0JriG${NC>!L)~j`<((Ts=08;85S9Yp?WUxUPqzh>*&vnUuQ&^i?*@=9f;e1?Z1~xLuD}R^5 zwLb6_HpPm%AcTFR(|cSpsP}43OkkLQhH$mD_G_N7d4lGpijU z1w_1>;LhAdz8wGTQc>D6(z9-R66Q7B=g*P@IMmf-0cz z;eC{Scvk4pyYf28j9&`d*@I-Qn?O_^vAB*iwdL<`_^tXsQ+|c#M@vgfalQ5(u5MuS zO@YomgmOij{u`C7dFrosY)V5pB@s<~(kJ8uB_=w;W8X84yg*zBAdR&+bcvg0RwUD) zAk+JY=QcsM<&S4GjA@T(^iFu10Es0P3$oe7W|!_}X8MxMJZuIStD|7pXDDrvm4AEmkzF>3JO(p_PtmMh}6eLPPxGX(>jY&!Juc6N$xkIjlz6}&J!rSTqP7n$Ju3j=7rJ`7_C z{vo2Z(Uv6J67MfS_F#lF(?{!BSlj{?l$ru$TgfZwI{bg4hXZQwjMOLX+~J|GN@ zIx%gLS1(>eLt_c0OUx@Hnq9kg-NZcx;+mgDCHcA*k>gtLr_@at~Ud7Zj zx!pS@K7I|^UUbFZL~U|3L?Xw z5oy$UO<-k8K{A8}SG^$ro_0@e} zo9Mlp-2cZz?N5w|fqH8Z(nEE1b-`WTjI#qryB!q;k#NeO(T014R?rlvvrFMwM|wmAt-5i!WQxjzSn&{8ro83G3n9}Y6SD?Rt_4SZ3M=W1`&)BBK% zN0uz{vLo5^lp54lWEhTUN&+?}D7ato4W~NE&mfhy;NQfTlRlKm%w$pf_$iRAqbXwZ ztKaqX7@e2tLGGRxqsOl3Jxc#^Vx}~ovoQS17zuo0)p}(<|91E{d-9t_^-r@|Hm72 zWf#BpOA{Ya*nJRG8|*oD(G5Iq>BW1A|L`K~855Eav-tyd-hJy4&iH&s z6nZu4nw^ciXs^q=L4RUWTy`fgYJ|;9Jyu&or}~DL-pj=hS)T5-J`tMd3!Lb`ziMud zILw2nt39l3BZ0bEGx~nlwN9N%H(ZSPyiE^%_#W={p|c}PHzH~&3@);yBgp@rxxW(u zbikR(R24ixVx~14b1yH?8=s1JRKYP?pp(tH4+N}xQhSL55RNxW4KlT}W~QQ6W1l*FsN_W8 z6!EjdF^Cu0Sz`*v(K=+M+`4ru#^!8+;^>>4q~M}qzb9oP1$hQaac7h|UcdImmC~#+ zl?3Pwp9?Q!(0wS_y&4Wtt7>+p&9ueJMwcr7=Y_n8kCqG(p6}xoKJ!N-=_7~e;@x}a zM4jkcK?U3vt@ymwMn*8s{_I(L?=xkw>gbs$HE1nFJr8A`gNG0f!L&-vYT9Ey6w!jo zG^F|Vcp9=1Hs%AX)kJg5&Mr7&zZIJn73oGSbHuyV;~BDC(#_)oH+x#dA8EiFY1t%Ns--}k)D-BgGtv{MYfNOa}vR!Oz#&LuP3-a7Sx05D_%&;tHF!J@DU|-rub9P++iI^oOy{q9RB#r zo6_xfV0Y^Fq+q}F?%jd-0$BHuBed0E!)SKuVjslI%5I|hyyOs)5fyPd;pLg-Id05` z7{dP2Gfdz%kYqkU3ZKAbIObXf_~oLLlMkl(Z*l?LH+#KG{d5OyBWO-AO$(B^m%kWe zoSfm4(YV&d-oQ{l*Gv4B7d-wxAD9D;A=+`F@Lo0O_?cQRQ{(V$C3OuM2ETZ5_eN*s zlP5{bhZZ0pZ#7Gm{ier;(uEcUE96`tJ!^c(gqsOv(DS)tfd!=oY0nc*n4YDjr<2jp z$jHb|hV2+F-hf5omoHx|VLXdTI_#hFzOMXMlyiL1q)sUp^6$wQy@9 zs$6!t1CY}&;I`Jdc1`|+ad%C-vf@r&Crwd(llmLfPpiz{`c+!WB$D)FQsTj@_cl^j z(X<@^yn$Ft!hXRDAfY#?O6ozvWB=`*p(9m8iI&Uj>Y(UFtdWdvc@7_d=5Np;TY-9x zYCSAsjSeP>D2?ue*$fB(O3~;gm`MLQyqW%=>stey(B}LW%=cK6#bJ>Z7@B+sco9Zl zg-4w$YM5RV2@O`e%*K0wA847jiW?-hcG&-k-;O%4zrWuSbp{C|U08v`{)vfvKQLx+ zO>ZAw1*Sn7iZ*Q>9l^Ew7B>JXsNpfg^J$0Cz+T+kEjIL?9$tw2W;32uLQs}O*^6-9 zg>31o-_5$jKD>Gre*15s1FY_(fp(G08mF<)%5@C#{kPXx<4K`;tVoH7Nb7h)6FIhL zS|t7apX27hzDZaRnJVIN~UcpJiNvX3Dnz6q-l*{Q5ou$Y7Y^i6c3U|m~$Z!|9;0ufvg zd*DutE?Ir6fw_4Y6v;lkbdV$H4e@y2PD!DnT#f!YdhBz`$g1>`9u^#Iz~dM}dLtln zFuPdu#hoCQ!izfqH>I9e;Hyov9F_(D>0^3l&}IbS!gP9vQxCDks?(?DYd`iCnQW64 z1bt8Iv-s#gr*}y`)4`g97lSMFG$H^L*ajCcL&U689ZIPBaNAi$5kG!k`SYHzg5GhE z1(bzcz*QEAUOeOr9t?b3TIR0C{+=$|499jw!R~yXLTjZ6h-PV#A+jEi z9Q_`tX(5Rhf|-Vnm$-djG10qbI0dGl`l|2gVaG3knLj-tXJBSr^Wp^~`k0Qsz9xvt z4gaP)VqpUrTEn_wgERSs5EevQit=~#E?bsSuM$=5F67S| zi%*Yx?P@mK(aeB1mqHLch~7!ECT634szY?2cQ2Y@?rSNPaQ2Zf$q&YAvIfpW@B>6R zLW$uE#-ixRu%*Eyq5%&bK3ofYh$t+GbQlL$)|QL-qQ@79R*hD!fej$*r0}-K(5%V* zno&B;w)h)S%d(&_rlAy!xpm=9i6B;)6#8q8U=6GzwQWAwpV%RKpMQpP@8y@KE`5UI zPfdv9Eym^cHPCccYmMgn>fk2)J3q|i#O+ z;4CHMA97HU?ME2!cu@eTkm`MFe%_U6_-o2F(od zQi#3Id>h0tz^hDn8&LEzV$t|QECLjn5D|D$;}FR^4uH+i_ZZWF&F2r|Xx;D!e!0?w z<&}4zG##GZzDe~=y~bwffZuO<9l z|0rsPFf}mw@NZ+9vJ!2x9tWIF{5XllOY_|wQWUB5^eZ8iB0F{jfaZo9@*-Mq%xlvy zA4c!NgOh3Zd9L@9U)C;@YYagtPyt^Enl}uAf&o^2 z0_TCaabsj>B(XIpCr1deF_Dl55Q!v=XlAcCe5|ele%RU5Ljr0r0^CQKP3Zl|0>N1j zNZfp2kW;Xcg>uhR5k`z4oKS}}ki=xvi#Kjiufgxhfnq)oG3ZBa$PdC4fQn*qeK~OV z53!-k%WLI}t8e~VX&jzzyV|j{>tMV^`IpHL)SmC%(=NZd)gj%{P(OS1_>wNSJTge4 zHb}evtY%$zYg$zon5BsJM;!7_<|U=2vHXt~ad+1mKGnG6u{_U0=GR(UZ0-ZlV_$-B zSGTwttPe!hP(Y%!cQQFCubH@#hhGtJ88~l$mBD33Hv&WH8wfQf(@*s87q4D5PUexo z>rK+-1aZXankK4^?8~Sh5VoLseraJrzgYKTuRn^^vWE|CHADGB27-l~pen$k8o2@t z9&HnBHEGues#V;^Lm7tskHDj`7s&_R3T~(AK!l@Zp=&UE4K3fyb;LFZS^p(YGpJ0O z@W5OAoIVY1c3VjN2q7>D=?OA;h<}?Xdo7NjoJGSa@aq?y#fBbtt?ctE;d`sSXsoyW z`~}cS&f#rY(0)0{;{mM4erYi?HT_3VxYm<`J#y3`gG;mz*) zXdG>kICp4M?Oz;O{4*=Kcn-L@JZv7$a$5@`Ta?K`54_85@k{N2wU&dJC6AO_D!qL5 zYWwKj)R-fNO6%9I<+IKR@b`}#>t%XXe^4*n=g1$gwAO_CU3E4x#D=BpT%XP;ALsL0 zODWPC?Af!YnfuCNPQ=AqLPJUt9C7`fa&Ra*8_9*n0Om!0*bQl@;?aDORgbvpyUvos z&}Nd`b^3y)<=n6!chwy0+iOoae*D?Bs@UQA$ye*G#-1si@*HF>VlwkFKhrzpynLab zr<&?xJ1136`Ns7hb=1aq>LYJ2QQ;^hr%TK=Mp^9}RJ3Yp-!{5^LOc<8D60lvTziK6 zE#Motbb%hLy;P)e{lSR#?X3Pu>@;EnU{>wHNpdF;(v6N5tAprVw{G1rD{Y6nMRo5} zE)rtNnqr$Y;m#RE?EIqM$6 zr_n)8{t(P!0Vzc}v9yvwf{Z8UIid zw1~m*Uy{kWS9ZufoS55yBYgAj)4vBlFUoJ|-atVTd4N`lGk_D6;$(&a_j~b;>+k^w zohpRI#qn>^fZ6-HrZAv>sM%SU%EF-^ajb49m;wCbn_MsRMGLM|cE?c?78*Q%qt8vs2;g*gv1eUw_% zdtn$+WA)&9>non0^L_k`IQlMhFDXE94nY??z~4|D`MB=a1BBwY-2od~FabVPdmibP zEbNOLRIme-1PwmPa5Fr1j0EqD6a_RkvL0^E$ixAb?swUT)<}8Q^K|JO;>Qo?AmN_c z)1@fp)|XUGFHNKLJ>&))x8e6NRA%%IKS!M^Mk>NQnX?KG)^a>MIbrx(k_EF?JXezP z1EML(P$UilXjZZta^g1{wPok$6SXEjat2Dbd%5fDzV5msB_nM&%S{`7*UWZDpR zbZ8}_Em-&mtA2}5zr&Tx+NsqFb(qI6T))0@U^3cxZ&wMzo;90rA|qF@t8gcF zA~O|3%Nw$ofr{rClj{2_7oFCFP4Fm``zxHuAM z#WFH^@7YEfaqc}ADG*{S+Hlba-w75v`HXW>bG?}&A8sDmZ z;p$({mn|)kn%_agz;4nI?!F-a`#lloDx4m~F0cZq{eYbk2@A$i5Id8>xn;}UDS11? zBe=DQf*v~M40PWK2txp-0Lod=R)uTcU?w2i!*%X^N`Z#aKC~Kj>rSQL^?w*x-4x|m z+Q4;n@^$+Fo!AxkQ==9a@UkuO)o>s%NPAuf7KLVd+t~WyolKpC%i1-48ogqekRPei zG>Qw|J%xmXRCT0-U5gi@(ikgA3wCl3t`P0uRNy9lgg*MtWB54?N;Y%&%zx01@)^R_ z6vP?d*|Sm7@*3l@qQuSxKCUy5dx90o;KN%ps>jrv z{9jxECyj}GG(q?n(R;#D!!5sr6ZJQY<|s*5bm0cV%*yHm9zl0^w|Cp9PyG-nPr)5S zsA92R#(NBesJ?wyf?vWJG%0nqEAK*@PIHpq+&i#jLd+_LA?~%?W7Bm%EV=Ln9m%% zwE=G)W*EnPt!cuNqKZvB&KY-oW!9hLq<})+@L>#+qL%%mUjMSL2Esv8B8(?U7I(dA zlia)4#72 z?O~WgEP%3-9%j*jR1l1PX$^=CG8TeNq1R-9EJ7-ghq+D18tFAw2) z5bl7i?5@G9&LWHMdyXjPvjlie20skkbfebB5{g}5B=MP9vh=>wZh>}0Mp1#p72vGE z5k^YYu3dZ5K2#B7&O=FOcJ_I>LAEQCjaqW0A+NHM8#tQbLbxzFSzfHbl)^dsrIOoB zR)^g6(0h09Hh`#}Y*_w;=qR23fc?N4zG<2DJ#gT}i4pgdRr}R;UFW)JFpIds&8}n8 ziCTzSX9xA4H8@|8k+32FFjA%%Sg`L2QiX?d=v65y=WRkl2Sk|8V|AehC6W)TCA0w_iRgGBiwOq&__^sMtv9$0&38ZCt6ro>k;eEpH8$4& zNA=RJ0le3JAX2el{ld!tNT=!{TG%WQ|7BEy2Z5oHuzOU0M4XH=`5>k-mJSYDTifQo zj&9=!H`8w^rfGVy=*Wj*7p%8cG5JKNPYckI=&pfPVqifDX&_kp^767DtMbH`FU{JD zwU>N8GSTS!86W?%B)(@Sv5vO-@e^$XQ3!$DEjQsPa0?C@k$)1dOU`%yXhKzqhjIVw zCQ)TiYH2`^c=qbQscZW`PAFp;#fh7&LLW#RNOqoXuYnt5ClU-uKaBad@QxkF@gvoufdn6cNp~dwywUhC>>$-=Jt&`LVw2XP9vkEEI^or9u0r`#HFBnUjn0~q@(5&a_5gqs71;j?e)x2#qA{$h)-fTMjXV( z&iCI}8IkT9C?yqc7zqwI+EPD8@(ek_kB!b}P=UY2T8N-lQPS_;)h1~uWNaplbD$0> zo(^pQQ-tm)dcGZ5v?06~LRwl&A(LeStbW1_SdhT=z=1aaC)h^pfIu})q$p#8$BfRw zupkueG7Y7!x%nmxR+%y1m$-yUm}L6Bd%6@}VAJ`AZmZpplllN1PX@pRzvAK@ot18v z38!n1%LE&kPBHxT@Uu~&@XF79Ib`PL8TvTN#canB*G3-oz+y-6qp&_S4#%N#kMwM> zulMch&(jgNs7#1i0DYlgW1tL(M9;tO-Ks7zmh@JFfmUsYCmHSbz1(*-&h;zaPs@@k zhMu|^1e~g?sqv;L7af0~`t<=OLi~;)K1XoD1)*1M7HAvuHdAngu7J2Aa{!Ql>mp1W z)idLkfj$74B-x87ZRuTr&YKNv-<#=t#dRsGCFL205d;eI3gdhrO@7d;0;RT*E{yU z_grJn+e3~{G7kB+>>c!y%y zJF(VMYIM`OzynO-6qgz1% z9{D765iB55*3CmFk!04Jdvk!H5*P|-^pSgOW-xOQjfqS`DIRd(4~v$(5J$2zB7;U2 z0k9$gErZ0aCLS+(AfU^=KJfP2N-Wt##*l)pbAL9;;5FyJybdrDuL&3vWy+a(HH5Q_4HtA-Ou^krJC}Dk-+vIr(kRImM%?M{f ziV46MOV7V!1>O#XGDfNqkQ#h&rU3aRtZ5PqfvwCoGbI6G53XiHLx$Z%i<&IKF}YR~ z2n@VUN)66IODikY@9@vnz^xh)73G6RYzz!ZkktZPACnffed+#UjRP+b41N&WM{X4B&$Rm0|*1 zahd4BU?h+(60f$_sK@>9vYQhKXA78rkm(EQqbQOrKpRg)N1ydPKb%wPoYlHi^b+zf zI>&X5g2z^4w5|dH9%xh#AWurSasP!m0-0q%CQQC^Y^VodmN-~sG*bI2h0<}_Y_Z;Oo; z8V4kW@>J+TUWIWmnYF@15~t98G@(TnRVVmLrlKGHcDc;@ZoRF4tz}Ka-8C<_R0ZHb zX}z84O%JPD{o`*a1iyLa|$zvF$I@#B$8p<%PNdL2!IA)gzk%y;E?{&{r1QLbWr zZMnILiO968%Cb&3~YXTLy2_ucO~ zUk=}ybH-*TyjC2q1b#+I8PymEZ^?+Y&qu;UCjfSkaY)5`;7S#7l0m>wi5CWLU{~1B z?LW5>zd~j!`*ie14vZbLu`^9B@P+ zey#(~#CwmtiTE!{S<@{?XNNBEDqtZ%PBJ_t4BtdYQWP=4q10SCD>+xP(7*R#Q$^-V z;SqhZBIzYoF7KW?VUlDu&)n3=H0Z>3^j>;(`TVs}Z(#QTpixr!g25Bigiz=^X2=oN zYg@!|A%(#nAuyuq#<0O3552o2SoPq+HMzQ}LSYTy{G;3Maza{wjGA1Hdj-1(N2EH& zn-}pX%Q%omy2~(MfXk(kuo%xj2+S;$9sahI&u3&;(RJ||yj{)O|Wpeo&m zp0qnC8ptpKA1vLz0p%Yt{G(VLb1*q+$Clr>NPB&K;IUhm{n3RaOYQ4v~VzieIWk|&xQ@uM1b+A|L5uMP%G0>Fyg*%ONLrpECR5ETj~w3}vq~ODl0Yzuqz6qn>ef&m zI!u28L6cDMaHwoHD})oEVY&{e1p=SzhukNhK7AUZPz-_tz6gWE1889l-L9ZE@;@yn zORKb_(spuVOk3PWv2zyB++fz*uc+3v&UlxZw`uNKKDGnoz>bI@A{=HKzTbcNVGnKg zsI1KJ=^~i`BBT{HdTnzv9jf$bcZ)SJ^p|m>tn8jVlF>qIQ5(pJMlC<|sZTo!9k5ae zq1a@H<6t&AM}1xVj?MX*VcOf|q@-%VlqM(#)_-PJmS30JQ~7#JsryLYB4$&><`D*V zXiq2D#Ru+(4)M5noYoBWe&0zPwisgaUgj()HobH0=yL^^ix-KX z5y&+G5Z}s5c~`p6tq1v|9%yHcjm$JmNv#1TYwO76e!Vt{_N_m!QoW7!vJN-kHDm$@ zg0uyY4|bX2m+5Z2av5+axYa$RSV&*M6Ak79pUp+K1}rcxZ3n^r0MIVm7sUWaK<;U1 zU4)?sB@OSiwkl5D+bkKjOn&6c*=4{oOOT3KLh-^fLE2y(un=!oh>iRSv zXpXhUJbRg+pK%=ghMNS0Ab{#f8r=5#%}*5YBl58V_N_%f(0Idw3q^-36>QB>F1Lwq zGh!PZ$$BYkFMDm}uYx`M*cpl=JqkTOo(ast5BybrO^AWbv@4ThXzUqP{L!zZn5Du& zKeI`~{7H=2irH56)zSRsRo7z8#+q!mAcPGUhAqg(*BBvZMBY{RSc;-27ic#$HAg(q zCx)U$sA$PP?{Xw_yT*G1RDJ(1jIwia|A$fbDL>x;B&0eox&oOA)FSjxp6uUNhxxZn z^;V;~3mRQ)Tk_jHkFEBw=Dp7HOGX~fSZ0;3`k#srF0lm#QivH%STm*$s71Q6}f&2z+Aybv=T9KYyY?ve5EPS9^1M#>wha<<)afie@kp zkSky+(CgfF@;ktcpiy=xS*J66tfddNqS<&{# zOQ^JDDw4|9iYu*28mV0xY1!c9i4s=(FFo$hLyfy>TwBh9vHm7Y=AZl2Cd=(hmVE4k zoScB$jtIWw|J`;T{p2ZITVh9uS>9R%Go*TWxS&&o41ga6DUo-AkB&L?;l>CycH?OJ z){b*dP9=H{gJ81~IvE%~ji|a%&{4rZ1;1F`%a^xGzM`okIjLZ!PoXivA7_BMftc-} zc902+Of9Y*ZB*##?)C#N2e_)a+!zM><+^`kzJb7n5D7kU@zALC-RTy1_37WB1A6fK zyNk24`nBtcNl8%w%qE0fg4H(&2WeE=pipj5T3IeNwDtHteA>V{YsZ`kn_<=3h30zG zW@t|E+e}SO)qr$Bq(S4Az+kdFJyFi=fqaiL_#g6_!=-Il4F7V)FvRul+Pkdhg)950 zKLdr=fE&|IQl68b}%_ zq*)~q6)IywGNnN&k)$YOE<+)y%qg=ph|EJ7OKe3*6e%+m3HhzFd+&We&-1>2-1l*` zx1I0zx;~$CSZkf@>^PEt*)OH%k$=gx$d{`RIbhjE`L8%FQTFHu8?w6!kci5Dzz@(I zcw4*Iify!=+twM95G$Pzpf6uTNDSL$;O2yctu$P=z5 z6~C8l=v92+^rry-fzfrh?+?yn8UiU@#25@R42Y&Nuqt?gD66;pS@Zr!hi5RNl9HSt zOb@L%2+<_QaQ5Gm3yH4(C1ZfIPE*l&&SUO}+ngqT)NAjJTf2Te)ge&HPjLyI$VKms zD($jvN10nr_l?j9-8cIGKgzIj)%!M;Y>xFwn7I^)m0Pt+Ye`nS**rWi>91k^ot;aA z_q%hN6lE??@~``cz?X0%PLyB==8FRpK;5uW)OTL z&C-p-d(b>Uf`b(UO;FXTK&2ckFZEY_J(lKS4|SV!8rTSyMAJSLl@dHm_T}czX}`x{Ep1r`rPC^*&&DZkM?2;loSdGxYpoE3|*J z)l65yAcm9HXQ7uV1`)GtyRVPWbSxeqGp%c-Cdft-ql&t_gCZo^w{ULHvaWP9RUF5d zLssxE1VLqS+T=$I`@*WX+O~V^%2amw0zU>2G0o*jW?O!1*)6AC^S@V^%DNwH&`;jK z?Zt!ZQ+0H7U?)zyz8M#wL>uJgD+Fe0&F{XKxYR!LKC`!lx|$|X?YpIQ!hUeRNThrW z=s(CZC7EJ`iblA#bcMfTqP^YQQSS^RuQs>T}Uxb84b3LC5eIdETPtc+^AVNxy zW(t(U{)ii$Kaf5uk`wKq_=MQ*7|>1*iOu>`k)>$T5O0}h-Ub(pxwV15e1UjN)@1Nx z->_-ZCyXJ@Fn?4z3z#vkRhu4GZ=2VO^vG1m6n^k3O8?mOQs_vxM;4n?`kBXDZ}<n>bF@^YXrAd-^X<0 zzi*U1KM^KgcWhZvyl1eqPVjR0mGoGrVVvr z6|~J0VCOF7z1S~{JGW%y=gq{#+rANX9TEKO+m@6}X&>2k(BKF7#pnhv+yi|BerXJZ zVP3-a0){w)U+IKqL~$Q_b4~vJ5k~2+-Qd-Be!WvyryK1s2a}0em2o@}rnLc{gyQfy z3OXE&nY8MHgPVIh>SyrP!SSct5QP1ngT|U^-YYZ1`h_BBHm`M-C2axY&gS?szn!0bllOpccG!ag;} zUf0yS8VB&$%x!a5D9*mzTem>|nc=wwA#UQgCrhdnwzj^mj$S5}z%aZASW6uSuB#7r zM`;~VxHR*i%bclF_#zM^k#^h6+?*9z5JUF!F}Vfe$F<=#ch|wl#Q+FAaidQ(XY!F| z5kul2m1$ZZdVC8Yo3z~(Kn$(5jw_El%ez|nx^kB!JLyf3MP-tGhg`~b3jU9xKt(KfR?=U%9RrGXM1)o zID(=ILC-50BS|+&5qC*^*}A!Afq>)#@!-^F{09I&mw%el z#BnJh{}g0K=4s2}M$v#NyFr`{F5@Ol0C{6c2`_@T1o|f3^Ic6((=^9s)#*=+0Wq@s zda`H|))z{cFW`eS&|>VBnQmcW0j+5$+?BI5bK!QlsCrILDE$S%M!ZoO@KVSDS-QQe z5e+}+h?SOe;hs`%r>>^9xS|H5M@1zi?!dSt;Ogs*`jQ_bZ%Ywn6gOjKJP5j_ju;WU zQ2qm>TeE0Xv58>xxYI# zhcBH%pUB zj1@}ePvfRo(1q1T)oG?hCcQ_b za}-3+Zi>tacxQWdc`brE_huEYxG>vvxkmmXlafI1*{0Yn5xFMK&Ntv-lz8(`TQ5dK85Y%hde)&6Cg0ka(bKqg_(y6 zLsJ&~^-A(5!MTG0!R2SxwTx5HZjqrGmUkDRcRA$Gt9yvu%(451L%9LQ zHVErDZEmn2zzbd!q`!m2gZ6LIY%{R$;^)t&0Q890xzB?pz|7Q?;qhYgG=tfW3pzfs zv8%eM@_{X;)A?_Yfmab*D)$6SSfS%VcrzP0e&`T8Y+_*0sr|8A(l~<*6A5+4E{3~r z6Qob=JF5j&9iqY)P;9OOTSyz2(2AVcq60lS^fBaC1Z+Oozzb*cHkr6&J9WOApI(0r zdIaj!@gE}L+i!k~EyJ>G;th$!6X6ONw1@THt1)FY=IyE{J?^R`il zMwu|CW@thS-MlA;>ak5m=Im7j``5_^tKlg9uy^OPDwA^&DmyYJ0YCLjfPkU_PS_zF z4*Rwl1YvslhsSoQL&s z;uwF$3nT%9ta%9sfKD~3(ohg!utHUa?2Gzopo@zz$p$ormh_ITKaJ`e$7QN?C>J^@ zZ1whAIV)~AqANA{sB*Esj1_4d%B#d8D^`)Yb75b=PEyNZiAydfi^_P;2lROE;_@o4 zRXaaldyDgyhK!S}O>cM0TD>)OPnP$UT6)U7Jktaev?;(?utMR#vczj;tz>)@%j&zj z6MOb@h;2XaKFf!tR>ok~LG2Z^1)M3l%9Bc7fP}DXhJ%FTu+kx^|5ZgD989ls&y)-g5$Dqnl!=m;4e07Kk>zj~cZde0zi>y44wjtskg4Mc@#K zIJz8B0)LMZl%8WZ!^6WHj@&w`xl$Ll*&Yi00uo=psa*@)U)$4Iap#C0>ph^-EDUrc zl4rw+zNekSNP395#fpr+1^K0M)9=UWHeGx@0l7=ips3F}{oN`W?ocu>O`gOCy9YR#cJ z3E0UY7Sb|CY|}X1Q6UHtKoGNSo(x2k5IXnxUjIb z!cZP1FbPo1?LJHb~9Kmxo&dU0FTMakbDe4 zF}rBI$$oI>cuNnuF&|p-V@LiMjkH98Px?DHp$cSU=54(=&(YCQZp0CFL0EU0eCk90 z<%~zbaU~_U{o#AtRt#c}{Kf_?C7{o!ie6U2F>c!SZdm zyuD;LmO8mZMAeE>UaEM;G66f|;JtixI5`;#-KUb6G^A(ShPcQtGk=-GMddI6)2FX6i zq5=x7{%)VYjhaUuyRMqbS+8}7f0kp&?;NYY?)jLGs5A^>?9(AtJs z_CXYeU?B}tdqF^*#?Yl)WbE}2OvMzG#W%RiRa^ z=ugRd5p`yPEHJZkF7T;q1%+q$wG-;H*Ua=!dkudWzS*-OjoY$fW|+sx%XchKE%q3Dkh(v|Zpnu8^MK`Oo=|d(DHb|< zNonnjy$@BrbLxieX7O4QE;N59-9$RXw)Y!4rs;otZe5_^&ze-4-p{{|OA)-2>n z0FVTVPTIQ!X*s!KV$8|Oe)XMKx7J>n|6>#iwemY_aU`BF?6F>-K7Eo%74Ochu+xBi zQ$Rj7?vlRUhI!~oNJmkO$N_hXgNGMC07VU?N03JZFoQeZ|Dsi^_?Xvu&KE$ReFV{4 zR#sNv@WI)O)}LUEob!p%tz3lA@k;)KlVd;kt8gNLw z3Sm`?A0htmG^&7M+mYJPj!=gdHda=g>!lgL;e5plS`Gs_!>ihM)(`|e0iO>MjQS~I z6&VXdKF82Cr<&x`PVj`%Z%~|D9zG#GaWMs@FlHzHG2sW2fe*&WikR7hg3Ar80D`$7 zY@ENqj|6=}4Qw_NX0hO61#U5cGWmpo55n;y7GC55TvIS{G@}M7+}XNu)HUzaze;35 zMQ|bi`-L_z;j~06yBP-xORj}y2(MZ8?YzndF61PVuAtg*#}fhJtM>kqO3<)lTr!Q- z0hZMp-CTJb>jg;f$`rQSAd7fFpikcE=(t*era>m7gwIS@a%2zg=jnmgZGcrm=Wbl_ zbu-sxc|{vkYuMLun1*to4TO(#dBl<3UWbN&1qkD|Ohq9GFAVbO)}9<*4FVU)9^uq5 zd=i8Npa_whsNWPnUyNux$6??DS&HXVm!v-vqL~78ou+1DlSlX38^KJUtkYqRLAMJ4 z!HxZ@67b?B{2p{K7!Ds$ki!#(d}L1q9p^_>VX$c=+VC}qJ-Pg8SkveYfmIuXb>tEs zq2TPxHjO8K3ZUvhY^*8Ov|DwglTFAYfr*)*OAU zm|EE*^;Hz*!#yQV(%D^P|?8%XC&J!)tkq^8+xX(0(9os(4sL5Xi}@`oKZt!$#N;;Z zH+Gl zsbm<`6Owiw*HbyCPv3T;U4cDKr>|nhZn>k+n9U0U@|i z-Qt)9nMDo*5aFO>fTLqdM}%YmM%@6J!y}(UCSDR73UZ%rPIX~abx=O2Bvg(+w%5Qn zS)MW8Q8_1pC2b8VT-q~kluFCdH=G-Yda>kS!WX+(UjUnrTxT-CRm$i8#GDks*;W+3 zIIcg@5RtwG62!!28H3IVloaMH?{Rt8F6gsr#K&qF!mc(CoBysqa5mM#U=#tqfC9$LMTB*GopZ{LRIDfEOFp^(My)Iv0k??g5J z!l=#wnqqO>DFEp-yn{lI4Y&z-^Hz8O6SxM3k`ftSR;JRgDGaPIJb)XZM0o(s4|akb zOzlNlBfS9Ws*zaW@||7fGfS^fmK*&e0{1kMd;qGkwFZglg%KhgEOVqg(nL0=X&o%m z-Z;zID`{o(6!uvUb`Q+;wVcJ4j&{tWf_1s_n#XTS&JMBXn5>`rTJfEjQl6^hlpOee z3n#RxAUt$0lFthH(lH1yW%by?0mL2MFAMkHBCQU35Gs^lcNP5eJo@_v;d^ky*F9g7 znBjlyt4|gh3c<$TC`FHg2)>XthN1{72lx3^#~i%YsVW#FF&p2jp|N1-;p4|8Sf!AT z$H};DwRyugP$Az>ZeJHZK;avn*?0Ucc5{%~kc;VK1MI$(Jd{6;XP#+45EY}ZT8X|7 zpFS-Gf^LIa6_KnBNr)ze4I5KeaVO@K7I&}}QGvGlFeM8>Ya4x18 zsD%(-^VBoCh`IQ(q%DztA__RhzP!5n zNO2^_526wMdhAekxd4BHN{@&OGG4HV-5}+LmW&+Pa4yKj3u)6VOg)Xz7i{5X$Y|H{t#;V)MQL?K!z6&?0$GJv6$Cr+>$N=u@ ztj!Ddb{Mo;hC9@h7X|k|P5p|#>cZS!JOg5^&^R7*%15zk)<20c4B-!v@%S7WcM9(A z3L5zMoGV0TVaf@-B>St69V6a+1t!osc#br*v}o_lCg`<2AcTiw2l&#-lqWGACixQW1uh{?F;O~c>x4&H!(vOf-EY~mA-9tsO2r2LrMGwm1n#D1 zOwJM#E>!pC4LK_69yrOs_d9Dces=g`wFNP*Z=h4I+?)^4pQh$PJwr^Uf|oC7Wl~Ri zT8PX^`UhlP|8TpX&0-@QDAVIf&GFZL749LgqRJ=&_k*Pu6$*K9{>y5jh8>H<%cW_n z5K@PJf{AaUw_Pl!LSz8Cn}?NHz@?QKUMucH9V#X?mNon5bmpGPw|p~e+>ne(FvUTJ zZaDkYC}5-8CrC6r(KY;0_CJ06M%36bjt>6RciCG(&gdDD;g zK0Q<09BO;k`j&UEx(*ySqicqxws4-CZl+bB&LK9*;-p~G*1GRt(KUD6T$r=ig>|Yd zP5Ffm-~M;N1q1TltV=N>vqQowvbon|IVXzsX$(T`{;ygRw>IC4EB=jl1nX7tBsH&d$*8h2t$z?a(zb?4g>Koagj5_IGtXO@#x| z4h;=%nvFq~%@hEkeEz#36$zcJACPNefKH;$)HxOz7hs8&slqrvKArEbcemAaDp+H)^Wi$8z$@#zSp5+4BAyPWnsesLDVQ4o#l_T_EQFX7ws zSW_c~xJ-HVr3{!sq+|tt3U0na{iPanPtkJ7o$xA4I`DRX*)lFS)F~Gi+dsZqsLxxG@R!@TqQ*O?cFyW2;%25$BB{vdY2H4F=EDbn!fk+e>@vO5 z9%suXF)V8?Y2XWi{J9`Cf5;DIG^ST1{T{wUyF2vlTS&`6gIfyg6F&}~Gp|h4$XqPE zu56Y|ylu;ycc+X$!Cws=1xBBDIT@p_EQZ`?6}D<&dz2|8D5wk6`uB!eEI;3}_`Lue zl%`y|bcrbd@JVHzM-y*iaz2~x7E1T9%7UTKjgs2~m7-BSM_iMga{;R`C2FUZsW+&8 zz4f8Ctn2=l-DeKoMC&wgZZirK<-Xb}ADqNFI5F31a?e^NPc*di=jZlz#-%pa!Na{& zM>|qIf0||6;5o}i-iW34KUObYy5n>DwUPZ?`N6AGVzSB=b|(ov8q*%>l+_aVWKsM1 z%t3rR*Roa#gdP{r>$2S9^}Ej;b~K=!bHl$;1l~r0HUN6HO&XSgR4A6^ybkNbQZAf(lN?!k1Mx}O|1RFrJ_7X#Rmv^>6hrC zSK0DoDOZrn)4^-DcXob4oFTn0?9)sRKbDTHCJ7;Jiu2_1m2_V5M39^2JxaFoUagAQ zV)V5>wzpbpw|0lnu}_;()fI!J{kVHgd%MjBpm0(nOE8Mh=_0yD?+t=kNn^0ezO5>! zV)QNXb`(ua7NW3aie+tk)rFqz1A5e)VR^0dCnwuqwc@#g5}P9uhYbw#JqnW(I}c_$ z13wXz59nC6cI_0#X?fr&_os4s0vs3Xfg~^czFJvQh;5tCRO4*Em?^q3uDnXWu`IIs ze$JEgMDwF6VF*>O2;UHkzM61;IXSrps7GipSSqwENu9tB5Jb($ct|0jx~FMtYd74w za=lBlB6gAgF~Y?rh(JJHPn*(!h9K!h&K{-^sAA#2T6H09xNWnn7Az0R6Ll_SE zjy`pxH`{bNRp+ZM^g`Vpr}|tFYZyF|hk`XUJ93heK0JGcR0hsK1(LRRBjq@r??$vy zL^Fjwy->#&BF+f3U`#!$!4|XES+SqcmP$<31rMTsY;iKImZ-acHFz70f_@@Erk{8x z=g}D7gR{Mn&NgC0$ggI++S6d@8AUXF0*RBT11@8!B1+X|dfi6B56-xPZ9LF@2`eSl zdUxRU00|&m&&et0z}mo5EjiN}${WuV}fV@1y6{crPBmfN=c`2M}b?FK@fR84o94wi1p zVo?-uVNvY-b0%vlTa&}mYM_34w%{D3>E_q*`D3CjZ2rqUI8&TukInhbmCqKuMfKU4 z2)#Ebs+j`l6;f=Ciq^SXTh#*aVqpLd1v?P7MpZ4^#J!5QA=qI)s%mPh@5gVWH1Eq0ePh*q`@x?!0jvGLCb!?fNCr(`6+$lc|D!kh9tFc@}GAv4_?v9u+x{GI_qyqTL;H8{lu|6Ne-2Usr1 zg2TetB;y%jp%6La|$N5kHLMguY;IihX=J&n1cPIydG}+os-Cs zI8WSoV|Ai1R(_y6!iZa{_AXaoxTxKVpwL0Ju4ge*;x?vEQQCOYP`Ie5VzO#lJiS%% zN9&gSpRyFDwg#&9QUhJ^#3=*HNV<-2>!0fK)0&{BO|WKwwgD}c-Tjn zYQZb42bDO)IA}y#(9lT01Ptxddu~ht%ecSF{5Q- zVer`9K-k4KCKx`E#9G_xsp9Ch5S?`sPR1{)b39p>07qnk8L~HnZp>P0YA!UD;M(qf zLsSotpjdqkP5#z`t$MWF)%Z7T-6Y>1I{r|W`!b5Y^va<<0(!TI&AMO;?A`G8iQRkm z&cwg549(5W?P%PiuaG9`_ONtk=&MJGn7w0x3US^>TXql#n&-xFU1nXH_%SDM^s~qc zxV5uw2~GytL;)8`g?9U*0kRlqEhM9vdm3SGXlRN+Kal7d?W$z53G+H$OZ-H`0~T}^ z;4XqTwdXqYFPObzKZE80Wq9I&IR>*a+ylzA2r^?Z^*zX+I7fKgGYc&WXT+tDM|1c?+hSiDWjUd#CI=6DgW zVzZ^2SlNG^z#cR)yECgHk;KL8;b5LX;|^+=Momm(_yOIl%)HxJVgH>5Nzgr?$gQIpTj%}qd2 z9q0(w^W$5AOBdtOA~^Ze5&=8_YRb{V5}u8b+c`i;>MHuZpvx!w0a_vnWIP?~MibUL zBA8PtLgtQ0<@@2^57&nSViPB@j{^k6)c+9JGr)9TKQCAcBNe(~rXc#sC4cG+;l=y% z4}^oWFoWdIYt>-pnf6loex?jG`2BJ1DzNSzDhtL90VhV3KA6C&DVFd|%CmdH%Jb$F9^qv1r7R2NW<3tpSd`SSsg(OJprtz^BOe4BZLRf4rjRlYF7KMI#=)ocySH&e=9h^^{OQA zy9aS>a!N>KRxZ}8kP`Rao^VdZfw_Pw{gAfIG06P@gPu6i4TiP2Q+|)4{91ud$&* zmK$KG4W1lqc#9$0Ua(+6CLFn?P4bfcL!*Pi4;SH|GVluV1?y^#8*bP=Q}kw8I>fi+ ztqXm_132em-()e$X`~yF)P^O)3l^?Pm@76J@SiZvw`c#9We#6& z0Z7}_wHRs(RQA`Or6Nu?2YC@>jV)}#);n}0hi+C#$;$HLkg?O?pZQRGIdb>D#Fgl3 zn{zMBK^3$eihUdvvs0%6P=g&`)BeU1$h8+_et^Ka7*yb1&`v<_X?e067!XP;V{!3U zhr%6TmrjOeP;d6QZ^8rB*|^wDNcH2G`uFR@IBV(KZfb%&g|B&HodV!mVk0tC@BTUA z@PmyTUTy_$2uqIVY`TF5eIxr-9PRZ51%P{|PKd+uq-Tva?tqLqATfnJ1o zEYx=HcptP6{oMG^^!>Tbll%~{Q9%n^Q0QluHt_Amg^$;c<3znfySB_x007xG_Nem- z?#!uA)Z?ObO{>mvSg23L4WqF{2>Wn(*dRTE!;q>GeF{n z*|TGyW5Rs360kIq8RKJ0{@5s{4xAD8t#!6L?tC5U)KdxU6xtR0@>>sn0{W1|xRhEL zQ(lEsr4>ae!@l-Z_?1FO_Lb3-qb*Hm1JUTVX z3(@`YB4fGha)Nd!fxY=uX8*%OKCk>Yz}I=MNX`#rC6JD9Z3FJwojwh`l?CfQ%5S`^ zQGt4goQhaD^49$I=2j!}_~E4&Pz&;T^2|@{Sion`0V1pF+RKJ5c~3I3wLPzO@&Uy0 zGd`{2z4+PMV7EWN_CNn;@RM6e(npbl0T}uB=iyZxX zH3_l&&nM?q%3H?`@OZoTpK$p1KOC}eTg?R2oR#6Inf^z@^XI3v)KG5M+~2#9Q3PxM zq*>%^;=YuM;lBzCw^imYH^F2oFh6#LLu-e)1AqrS5QLZqlU*?s!a7@Cyil#o73(S) z*tYiE^wCT6Jk7pz^U%}#&nFzx!&feRxrL>n=EI&QI^&n)I1m^LFaS~v%6^Z$N69xV9U?UR4d+kgLBN$yA% zWt5Q2pYG|;hl^oXh}`?AWR}unPc!DCPsW99-Y26zy!huo5x~$6I|TiZ>KxCO0uUxS zwKde{OrNUvy4M`k2>kg$TP|$%0FTC)qDq6k+GX7M8y9~37#r%~f=*}-!XILlBun$ql*u-S`<=rH4j--}@C1agEtZ50V z1mTdudO_9uBp2T4la<|k4H*eI#;U!qE5WGf#@^9gcK#{f-%m%Y442FX)-4%ME;ftP zQtR5^gJ-~yl7wfri|GFO8*D^DIv5mg8H+?!jk+m#x)4$L z6UEI~$nAUrRV-$Vif}FAqQQz8wc&=LQ78IcDEpEI^7vztgr>HBv+u`irgQlBYgU^} z=&>nEGkL9`dU%yf?MpWOBd0-i@L=r;NaL|gcmb^<0xjKpL0g+2(3sTSfFhgqq~{?| zXq*AF5^ug9d4vaAHh&B2#L2bS#k6h^W%mPAhn!#UZwCB~{1|{yH?#sk)gj#4)+xQa z8YMh9WQyT{M`IDOVfN((er31$$l6$3g9q_b303*?i9_bWq!5&pVM@7?d^3$QL+y#W z&hYSiC{|5DkN4O@Z;$Rfc2MEo{rhB~3J`6YD2D?oKiZk&)4iITa>-`rUjl#BNPvHi zdm*?HlYcherY#nzaN^dpyC5b@PIm__xK-Woe=8{X9yNre(`Gz!U$a z)bA~c_1U~Xx~HBv`bLRjL0bZs?&VP34gcfNlmlKS$BvZX5IbmogD z2$S@HC)hZIu8OWWGh)|Mbg$PQ#O%8%~?!6Jxj% z?kUL)7QoJe4TRmQJ83m(k1d+^wY6JOp7*+ihtJP;`dl>^q%PB;w|fPQX>d-mn=$m^ zH>`C7{v55K?hc2-f$kc{b74^e%zy(-9YUW)Myl%Tm&JY{Er1A(<6_CLnn+64TYFKUiewNK>f^=DLH?iV5PdlxNKOXvDd>r z2NEjuAMWsRA8Wv`_lJFcf8TVOQ7pcNiY2gZbT27$(8qJW~y?C8<`W)tJzzXmmU z_d&cty`%XLm(_A|BtyjIW8{nWhK}dY@7rHy z6stPpK$fivK2w(6{kp*QFfqr|wg{#33{%CVT$Ag|_=m7ea__{hy?aY>!Xy-yayzQ*xN?KXQCUfeeENqS5m?h7=!?LAucBopWVY2( zqUUlU$?e!9ItRQw1`TmV0W$VXKwazYw*Y?B+aafTUi2OqQ-^@7%qn8@s-`w-%b(1fq#?zsZmp3#o6M=OGNpAuiP(1^l z@q|^4;aCD_goa;_abdROJU4WLu7S)QTjehA7r{$#O-f37q1+N2EHHc#kF#M6BV}J; z*of+sWn89t{wj0#hG8g}iqNh-01(gVXg{x*k&qyIO=JVNv-v-nayd!$K!+6JsZ<*G zW6{_)42nXxayRu6vMz@G(_P;|Jq(HK5<9syT9kfdo_@d}7)4&6Zj}2xv;b>j7(@Z0 z9G)*$-eI77XWvAn@`merLY^?Kr?o9eKB31aYT+{+fY2I?I^L@HevFVODeBK{UO>z& zE(tTq<=`Q19_Nt_Ci-Z@12KH@*9kgHfjA#cPJ`5H2S97472)G(@M!;f&V#fjyNzeI5ILP zDegSNRzgtx8z5v=CC72WW{H@cNB`pIm0iTEWthpeb3wTjR^7N`^d`kCn}M?j`HnM+ z5VGOhRRnLsF0%s6tW~;aGdAD9X#L@OutXxMCNJZ7y?-to)l}#+;Br9vkCF~2fn=-1 zk3~WDA<);g!E@%oxvQ`KchY!(hYMSJB=wmL*hpo#;6ctvQOgMw7a5&HJ^0QVlNYjB zK<=S*5NQ{=w6Z4vlqc}oLTOwW5jcgda5!`4ZlL}b*fWyks%k<~NjvibAa6R%pEGKe zT0kLu*`6uY-q-i4#RTX$7J9z&Z+`}M>bt8pmqn+I?y%Kz7w>> zB?^Eo*I>ng@#nmbIJHcpXY*@>3z=3}j^MZ^rKBZNgNwkarJY!I)G_TT zxNHD25WoBd6p41VF@h*F(xe)Z1hRJdk!h_oKpJNrF5 z!+CPe9kn%qoICmnq5PA47#-cceIS<%a2|1e zl+&POeDb2$SW))+2qZNS)S51Af?j|U&W-7h-J_Ee+oVN>$}hl19A>9(&MP3bgtV;I zr#w%1{mH8UXnnTqYw2DIC=I1agN;70dxRcA{(YyKGE%C>+7ahMh59~sbkKg86PaAZ z(?!{gNEHmQEC{X1y1fJ?8DypwSV$3XoV|_)jUdk>)fZZ7`P{9>)=3Ye`TotT3HI`1}fMx}N2Yed< z6Ka0^c3pJ{CH8zYziQL`<90Mx%<6-vnlL{g-l2vOO0_#%u#?0T+J9lL9b~zUX&+ob zT6qgO(Y4Gp%)OEaEsi&vD2H|E3IjJhjzXg9qe@EggxhcnZrCvFCbMB-q#Jh;WP!la zJ$Gm?HqdffeV5KXP4s5N-p5r+AWUc(4s>w^*inzSw85s80U!S2?X;;b=&H=|1Cl?2 zj#3zUwc?%2#?LRGybqCUp3IGZ%a;QMfFdv!$g5@S!*Rpa##xn{#{PPfAu0af>W^Uv zzCg}tLqdbbWd}~=^9Va|VUwBbu+jq|vAMY!5BP0zAzbYme)wIzN}xS#QWX0pP)|ei z0hIH)v&O#6+mVq0ENoMwkd-!o5k!$gf=tlIMQweE^MlZz(&o>}xgg_#Or1_lsngHE6i2DMRyPk~YzBL; z#W!rotg=J3{2UIGzNmIW9i?SuHBW4p7d`jE(8vgz3wQUdWpf*%_j=~oguW<{)B6)| zEpCMMP07jCkxp3I3OnuX`0Cg)y~OT4(Lu$<%14IpCt2(5`LRrP>^a!6} zqUJ$|l7@!H08BiHNP!j(%Wa_{Qo(-ei@!&YFmBaGHHNi~&5@}YdSU+sc|x!gGYy9E zzEGEZ!nroDw){^`4D_lPr8Z20n{AsKVMcf1((9;gH&-9o6K0S2HG=`8gWcd>fOKgi zFz#rW^90)VLO_T!0_;uc1D0?#s`XLng>|F zd*~5vllr)}Efv!qK!0drFl>yq!ZQb|X|?*bv+c26<`0<|vG(|E#9Oj8p%E4HC&!D6 ziUzR$=Eii#jq`ZWm|sTXB2!}()Pc0z3iA%1@Zc$`VZX6nS0@OFLAZ#dS0WxLBO>DM zoQ8Q4xsmpyL$SL9Cq}|Ehv&0iFO2Nn(TL zcrD-$>V{!kaA+YcNH-$3R=DR}FQRFWiurw<)0JB=HTMxixjO1IT2M_q8iDr01+`)n ze93!$6Vfm*hHHT5A1%PVsy;*k9e(A5iZ&XQd=YlcF==UIZx2K>tiqX{z3riFg8{%= zqRGL>438qzELyT;D)JSJ=EX9pLy#2F+%j~~R$s+y7I@ZNyqQ$)G6I0SXM#^$b*FK4 zQIXrk$4*omP`my0>(7P1`Y!~V;EwUAN`Gx~e1+-$Y4lfef5u2gvW&&VtpKn}@%Q*#;FdJc z0P3jtVmfwY81%)PA^~zbPF|KATYMZPC&Peg2@9I^dD|s@inY|Y@&87UU>ogK5PYYX z3IZ$ge)9!BA}eXy)e9m7%w#Y6_l~3kro)Yky->Gh9M~Doq|WsEP4+H7L8c5wN- zp!fdl{o8fLp%W*rB6e23r%6?EUdQ=lb1~f>Vxt@K8s%-<*RKiZy~H>i=X#PWHw%Z- zpWb&AAxui3k8?*I4=lvc{mn}Hl*nmT#>K&UL<|3}6h~5!)4^j_BoY=67!`rrJsQ_h zW|;#p#r|VfT-Ce&C-Lp)!+OdC;>~m|>miL5(_FTsp}v?}EPJAi`W%#=70th4SSGaP z{2EXclCz6$tOE>znf*tlLx=#3=I7icezNWM4i03@@Gfu!p^wf?ht*}L`4o#Xi`F!| zwom8zvGKg@D%skyyixAUN~zzqhT+MY*st8KF5+lqC^C1V|B2-4qJ!c8c~1Y9fOq+C zW0u3{#x_hBxXj2yf8K7j6yPQ$Rv@}S9UDsXp$A8}6Q*gMLJ;6ekgr+}>ll_@z&s~bmusiitDX6PhO!2rrnQ6eB4`}L;@A)ItqfmO9WpJ( z?A~URXGd)>J!{+-SNc!ym+%-lwiJ5uTQ&9dN5H{92TU!;dtiGNsE$=AqjlnQ(I|XI zcUMJqDdInd@U|;&nX?~@8JbKO4X_F~(H4d^VMl>1COUi0BJOKwYhQoy3rOc&0=@Dw z&@DMaMO4}8oeslu$h_1NrYW`y=Xjdkgu-k!qP!U+ zi7Zi;9G4a*PC}i%xK&5s$csH>A?c06kWtAPaVYtOo$Y4{ZPL;#lR~3eV z@gLs=0v{@J80Z?x$CschG@_mHWkSQ`?Gu%vk3q`&7s{t4Yt{st33&n~vBZGNB75gu zVkAHl zfAQ{}!DsI`wPL3*Kz|c-ecW)0H##~`GxoNVhyimEeLsWWxb`ehUg@Ax-aeAFeHcNr z*^#;l>eaLFAq7n7->cu0SoJR{7pN8kweH~X@L`$grw<>RLux8|+Su_wpAI(~PBnI) zt7;MgpTapr169x1I80`QaB5TVVS#`E^?Tx#t%Uwh148SDb%HY-QIH#niOCepRsk|^ zn2?+`^y}wO%5k|6Nj>NvMZvJsxF46S=RD@}YJC3h3!aW@Mh>BV4p$Lkj$z-z5?tJ# zj z3dQ4CJZr`Z>@cHar+%Ox(~f5KO=yw!^!%Uak#+!r+i%bi`%W>X*M(tY%agZ5LL~5; zy1Q57VVI%tn@jI#-Ng9#nMJx7U1)4*_@bLBwRm~Eox*zTHCvwMu$9R2+2m3O|Izf>XMuw(y`iVl}{%wXqDh0Bj1WIR3eR*$fU2O~;g?A?23-waqU>7Y-#Rb@m}zNVw4& z=h<^(t;#l07uO9P$)oKva8sn@J|mANgFuzwalCTD*nPaIqrLqBI*&(~8GneSc5*Ns zM0x*$W{x2U5inG)anU!fA8V=qmBuIgLg*hLcf6axU#ymHFGX>5v@X78eR4cDR?ETz zhm*mIqN|vw--b}1QctT$$g>17{7Guk$#ol+TOg+@&XB_V^P zJRjQO&`k$XprDaP*S+HO(Ob7~b7Av1AvV(<134{5lIZYk0xf+R#(&ykG8R{hjFrk} z1}IGVTMg1~A_+IRt`V6g(E>aVW*@^Y}#1BGQR3xm4-1r)wIiS<>X7*H7* zMUJ7dd2!XN1!x)uM!y{)c{L#XR+4BZ&N8kj@IWXPp=z9nv~$#4VO6*Fd|NhZ`>FbNzT^kn?iSMXow1Mj_&D!e-*r@ zXii?cl#88}(_y+8`@iX^EPo$z$j?t`dlpGZs3eSnRi!;iAg$|+Z?U5hqm|+e+HF4o zLotu@HJ%->mxgfwgYk~wUrw;|fdZ7=n-Z!!@#0}efKdLSswn7Oata#2*ha4fB0-a(9?GN$ z_@AE}PYv8Y^JmX=KtMo|U2$=7It*|jI3%1C5Nw>@5{5iEwgW_B7#tb`x72zK(cgO} zB}vhiMaT*PO$p3>guDwa}opm{pD>F`>1#Z{>atS>HR!vHob1JOb>p1AFWYOtCX;M#LmDuc~^ zWBb=51SXnOfpez^it{?-Xw>B&vn_yC`Jv)Va56rI(O{lvO>cl-EM;70xIA-!AZbbfpZw}AX+gtXW_;{E94n+4iJ(*6W`bsEI0(i zHlwc@^KkWEpl;DjJGccLrP{bF+OV=oj{V2hD=hk(0FPPoLWtz%2o!8272%B5T=t~1 z3#!`JX(n4Qo`6UfT~#c;9sl|a2uOvAScm9;&<_2TJEqOlo?zn^3q%va8;$@`q!R&o z41XsMC~eV1LrojULER(7rmEG4O2D!k<^kt`n!4l|m(W24C$!46fH`{n_$PF6Iri>r zz~0c3iP2O8pkCNyac}$jCpunmlPZJ&2@|l43uaV_8|sn zNU91{dHfDe6Ex3>-wmOPjED5;y`~?p(xIrmJN~9%MtP>Qvyz2Yyk<13OO8S^x&v(o z>bK`0pnax%^5sp^oGR>qMfO4nj==>1g>hwjX7;&3^N?cW)=M~>&#)vI7L~GxtAubJ z2fmR+9$W4h(bcOTZFh}~x!c>0#Rdg9Pb}>oPlk$&87QmAyEZu@mOg;HECA$$GCL24 zA+o&24hsJM^cdLOMr$7xhVCBeu&BQNX_;N^*`YlMPe6k;f63#W+_!-=uRUu1Ka|VR z{A_#>P;vffc^KLoijb%UvUiaMDmHLS`%auPLgXjeKUgjPO-|}+i}|C0d6J|%%eI4- zL?B%ct>eI&GArAp=}=i9%P~V|%a<%&N?V+19G_{$CqSOR4COotY&iubX>Y01Z%AX~ z`dIgc;*)$s80W&U0B4F;<0ePs9g<~K-Pss4?K@0cwH-=XRUC%kN6Y~$MQw+PL>;sV zcx|p2vKbV~`P$w62`@=|OnOdBd8JS>@*KR3^b_s*mC6F#&yuYf5g29p1xRJs)>-N> zgrP>7TEPiqEx^a)L!86SAeTT;f6{P?|- z4DBpKGa7wq@;AjkhQ@+X$fzdNh3swI(}K@LD|2qBTUf-zyV9~Ym z;;Y6+VUpB9>CpaaWlm6iRTVcR>%q^u_4S}SK&erTm-;gcL9!6zQ4I?Ua4stve~^56 z<2$1G-t1{n-X?+YR;_AvmGGX-BtYuA8exaB&zwi;3%Vm&4T={#vy=^TjPDCnmyeY|PpTQ^;BOCl2 z1gk20>9>=|*sF^ve}Xh6pK~=aDnR4?i_%OC%evt`gSsc_3B~ss%_~#?i3pxU`JYq0 zkri6;NkG&yfet}Q0E@&F6!IQd1d(kC(6ZS8AA){4p_l*yI9)W&qY%fBg@KnmZN`M_ z0{9@7cIP)+w}R$@?1v6xhcIMYg8=+L;oWLS$~32ntzJEgu6y>8E1%$-2jDG9qIm{4 zcQA(o4a&niK+;|(y{K211|bpa#No#u*T{K(pw)GI=B86Eo2$Y%=_l07q!?dDf(Hni zk|94`tbND!P5*(;fm`*pK+xwKB^W@hniA5(hoM^#$--}O{2c0CtV>@7s7H+7=cglVu!#g<$bJT!`|g$* z!l#I?W;%Q;bRn!)JeVmZz^Oj3kJZuHD-sTz41IpcSfKv@&v!(q!15=3tEFj)pj=)S z8@npHAQmJ%7SBWggvpQ+;#`OPTnofZ?yUzOn7XRj&u%H-1js4Q@DM<+Yyb1b!9&j# zLbOv3Q7I{YsGuZsf1 ztzZ3H1S~QmgUK^=bINFK;!-g`?u}B;0s>WxO6FCpo!#=>>f}j(&>vCe&waH^5w48# zoE&KjBEG(U){T$s?Cb?_i&1RZ{S6fCn}>ZUDM+}22evO^-^~Bl-kXQ@oWJe=Z;X8# z1|cLfBwQCskmU?8}2jrO>Qr>z?*oM-q+&(U4EIpegV_rd&M1-m7V^zw!O3LcidFO z_BI+F-)cY(j435CS1D9>U4CgV-jk-L=C224otWaRy6WrLYo;-(5GDqN8+k(T_>@s% zv_LcnX3Y~=wqz^P)ck(EzYnX6s6Amz@{yN-Dns?Meaz@)_03w4$E<>4*oz4pJ=LqA) z+rky`F=z~BlafmKrMBklYjcO`9UG+**yLv!xs1BSFjTZUtn(KwFhl>l`0}5FB+fgx zeaKHudKPvp#if%BR;X`hhX1Ha_P#IB2iktxf3M0(Jd1rp2dZXTU5>747reBg-iY3F+xnxuR5|Dr|P*aTAn#VHV5eW^$ui7ZA% zbW-b5=6Ng%`l<(-L|S?zI`E5Bh;!o~3x8apQ0=EEN8K#_Z=G>rq-EqlA&{f1s<`y3 zgufsjFdD!;@D!{bJnHMaWRn?j(dE234g>W*xQM2jKIM;w&OxkrZV4Ln#^xL9=$SP4A~X@ zK1${t&(P1U?BJ;Sxw|RB#P)iI=%j7%FS ziP51~vkC^m@9rF|pl{x~Rcr-Jddma$JoGdrWd$JDHJ6#^pySzM+jkaZZ?Gfm(hYv< z4TJ|VcDb=mUQsx8eI88wvZmvvnB71HfBE9YhuHxtR(o@+ppT9YY<;y*Cz3+{=@1!d z>8E&iome);Fea-|JPi!=zvW;<{eWJ@sv}(XwUleFarpAOU_uw1eUfEYRW4!N+*tS4 z__QiPb<*=HDpFHZGsXZvI9r5{5jkQks_iQ(iu;a(DwCCrVD7d|7MFq4kOWRWcx%1) zZQnZ}9?{jHA^u?CLlT~lHIw2b5=Fz%{d{4Al5C;vMEx*G0Jy-6v^25B@;R;*F%dUK znnCJ}8P=k(^_MahEY;0OiX-Yc4(C@ zlHmyW;ZP>IWPcI(Q^zm0{f}!sZmtF{h0njCd&o6`k@pEMi?8H+WBEq{^Nd zvcf#u@e2v+1taht%SVXXO1!i-0WrXR)RtaWJ*fJ{gVqt%q97c|I!Vur$WN|14|`wsG(A0uwM#hH-p^RWBg?jM_uzg@-UAC+`!*N(z03rRBhh5e z2^#(rzHJ#jRXz|Z+;$Q`iZF=6DEeU2R20PBXujre>yXm;`))Q~J@HreLW#rgHL-lg zMgLG#RAbQI0em65{Z;eBf9_YcaxFn?HN5(ZUFRs?#SUftWFFuISij4-l&O>n5lT)s zioUyJ*QNhY3*gIT{BwQmJ_Kr4n=~oeAAGN^Z8#-5K&X}aT0zUa;nAL8U8@YBPvZxM z;U3|_T1b?)REzrN1~ualIhnJ#1GTihTe6{fNqyyij9CBogiV zDZtVREoDVzI+F2}Mu5#5=mXDnRYzMV;An9C^l6hqP0^wPL+9F28Qla5^UjSrGCy~bY510J@v~lpS(%c;P+V$Pm6)JFQ)wy zR`f7e6;mFEZNFdcO z3f4!-$sHtO84>Ei0WM;U7FF(Ul};S2v{P!`M;z@U5!Q(~&iK`no-Me>@aWPHd7Fi=^Y6(IT2?vGkfc%-viVr-_c0}G#i-chqo=&G# zD5OFdkp~yui;ENFvcy??CpNx2`0J_ngdxg!3J=MB4w0~&5u0%(i_XvJ2-mDLdwq{9 zSE*G+s&Cp#wmzZla(hJBWu~^=&Cp6=lm$TlL{uYz3yAdf9#H)TZ&ssV-(P3!FZ{RL_-jY7ODCL+n&zyresXL&6Z6a&%!@0<6IZx0 zxeY;vqW`>(_33Zkyg3J!MKhx~skmpaUV8~GlKYIyqjFsOQ4@iOunHilN+bZlqUn)} zbn4Di5<`3okcFZ>5qN$nf9qIn?V*1UwEQA@jWz^yt=i!Oaz>2d4pg3Fe~3H+Jx@_l zkQXFv+Eq$qz3c#1xWf2Wzjr5jP?I0kXrW;Em=mRhoV-m5!g8r)NAn_s9?-HYI3{KS z0kYmPua2wiWddpiBPLC`VveJ|C0VNAtgXA{{|W#ZiB*q;rt0p!o!Z^c%rpo>WVss4 zy-2I9f`WuccC>&5o6U6*!%AdM4>45kAZA`=!0EzDxSQEi`Yljw@8L#t#u>lxDDHeF zq4|e2?McsD4@Y5|+gniHAPtGoeF<;pBSSQHB{rUbcW2RJ;=?@Tx)-7zLb`ZymNThwBh%muEdmr+j=J4 zX6IXoZ#m%Kv#;OdZ%PXlNwouU)3BlZGlRfK-}GePKy%*+BB%$|+H|%@OZs(lK0R?w zd!m3F`{B2FL>O(nv&K!w+|d{XgL?$}CA!9spg6XU6>_>A?K)sK)s=BVwk3CgbDhPw zTc3dgQ_5KSXEEgs(spef87e0@2g!Z@nppMi@tIpP+C3MT!#PNJqrqft5_N7v6|%pu z=TY6X?2Ef#qjGN1$HD#kCpnpQcprPGX|bSmtGMZ(GpI<)C?7)DjY9Bc=`ajtl98e(=BbPac_JPW}@zfQ?CCAyJ5&- zS!%rlKs!TrL(BZnJL1lnEv7sD!HZ{DMT+()YkwaS<9%V_Eydh=#-X?Lk zJ!h4B?~2_)a&vY0m#f;pYn4Y__0O;YS5^!^QLuhme?EUQ7zU|>_LM1$V(hIY&S5<` z8oLSkG1Y`84PNz_=Zn*n**I(u?w_6GE6o43XuZ$!Kpo zrbFbML}C-}9biDQm!hB8Qd*tNK8NXgdIx7jL{haj-Rpd;cRlW72dLL1_t~m*u%|Qa zExB+fI)ok(2H(`&>c34778&~3xPKKxv$`Tmz@p{YRAx;))>W>AMO-1@TT_Du#MO zrC1S&?){Hn?!%{xbuT&)Q)1QcMkZET8V%%%zhXUr5s9SOqZn<8!N*!I^dDbZ##UV3 z>f!9-@-QziKt@Wcn&pjRbWw)dA+U38(t#sKO1+rJy}T5{cZS}ee`}gs^f$*-q<7lU z$~2vBuo`gAm~7k7#Effj)MK_sUk(mV&At;AWld8+KY5$8vu@k~Hg8R00s0mgssR)x z0QeLXR41kle=nHNhb&Eaz5M1x;1}Z}woP|QV=F~%x+b0Xn}vIL{AzxOF-8FHQ%8)L zQCMeZX_<&w{b+}KM7M8|;0b|dlCrR5NhyPnIF2dR_wrvolhRN@6*`gmrkpII{UPtR zuls;8qkasA>Fit1-7xsn_SS~|`_?Y)x#S_tiMwUM0cZpo1?$Tn_wl*#W3XRWXFQco z;u-d+{Aexde&_%+K|i)xFSbdM{_VGiv>W8incHzcx(Tf+<9MN@I@h(3wr`*jt+Qxh zrURcF>IrjxAEU;P)GiJXy5cHiZpR0bW|yC|VkXg;Da!gcm^@2G-&vKa6)gf%i`5Rvnr5J_-; z8Xz@bz-9dur2(FA>9-lvP?tB)pqjOQws>SQGlWOGqzDDlu3ft*9FGt5M`A|doRUoK zcpYr1)TFuU-Xs)5FJRqe7Tm`|L=#H9&8};iuiYqfQ4MvW;3I z;Zi&hokJnpFYnZ`qZlBj0vA?gh)hI#CuIm}$cq#y7D>Pn(EQoEY)mH!*!Vq~O~^&J zqt1WNE-Hb~inBTt=bhUC2iaHMeMuI?MkF3T3>r@#{;S~H*>+W&K|qiZS4LG?Lu1h2 zz42+0*>LK@l+Cl*Mzk;0zlHs_`k(5zA%eQ!iK4ryfw2ZbcOEDsleZe!Vf1tkLfLN< z%QfPQmcYDzJ{*nieoR#kx{|jv)t1qBFVDXh`^bT6#ghAX)cGE&kpqU^4^|Xw^Q_)c z2LEA0tVGfjl~0>xEQ7A`wM695QX&_7eP!b|X!}aY-Vf3`-OR-)lAY zdakmzZYL2wz8sr#fO`FiLF_HTv^3t==|iFi>oUv_SagtZQtl%%5e<#W1vn~8gl50K zu~S>sylB+1yS|L8la2W7A7}<3c9;#nE((Pn(vx~Xw2j#mFlf*qvEf1Vg*3QP!b(dx zpCCDrKigqdWpT$H3)rO7&S?C;ZLy>}ksW<6WxB z^|Eo2QgpyCE9M&vWvfcz-W8wUq)JOkB~yx}X1_)fO4YdXkjhAeA7VcEq#cy%alg?^ z=Fo6pWsxQQb!$?at+NiT>M>O=gSEDd@jP^>I3xMdqwAb`shE?ecuhe-^3i=AfpWgI zCg&ZBp~+qT{QT}2TF%_dCYS%Z45K@W)l0~-AJP1TE)`ZSdfSaMA26Ulb8n9i+pXu> zDO7TWk3zB&pk|nuNE2aqp&3Y13NH*?xAYsDSt_V1gcns@7&OnL9YtdK zK!HcO)^3!WLWE}0qetg}=uLH#*oF|gEON%@H#|$i!T^l0n{w&4(&=i_kD%a4$)29~ z;-5%zso%uEn~B2p@KHmhd~Qbx@^W;&UImlO;YUPYn=vlExYc|T6cuS32KygB-U(*J z%_<6hG?k$#0mTXZqn2FmA$d>86jPMg`ve_P$F}NeV+=+VEzyKBQ8A@O3a$v!Z80Q< zT`7l=`-Pa!-6V9zZPQpW>!wlwUtjlb5(}!l0!^@l17*E@{jd0gM>1t-Q&4^j*Ah-=XLvu5VI!co%I*B+AI z>WkzN&%jr_(TiS z!2IUMl+&VB)@|P{3$5a@(d$Xg{Z36-pF5cu2QL}-!`|u&3j1`zmq%Tj;XrXK)}9=2 z=vPg5*uBGlrNk37T}RN2Nl8~A2<%BN6V=_pDaivLGUoKUZ@ga3Q{{x=%zBc}^i5=p z*T`<5NT-t=`fV_Xkc#(OP<&#y+ea2nJU5mX*@>I5Dg4&VeDFe5G7e2kx1NO}Kl=Bt zPLTQcS62@e6T>u)1(e7*dHOWrcvxSH2Nn=(WC*>Wy|g?-nn$kWw-6jZ0P^W6w@Kpn zvCv_;U7C%Z-BXzj$mA@qgib*Q^NR%2@#-x@==dd}-h6E#C*ioY)PsPzU-`EoqX_t}Rvat;==1(8qch1J}k5Y#d_Nu+eGLD;++Y{O>Ei z+i3nTE3IZ|qys$t{#hd=&ar=Z4b^(=WKs%oC5QU3odoD4rXqi4+8G#N_{NLeOX8t{ zgMh*21!T(x)3>c+D-|7@&JxI=A|4UeTmflS^cZQy&OjX`2J6Kb2SY;$EQ(Ok0_s0a>JVKQNBAbvb7O!hpKPOFg5D)xj)#4x|;V}Ykd zldV{1$JEq+f?2V&aokoFG4?GPKXKwC-q3mG+#SEP4W`gY7Hd|-?ryFd({1e$z9a%a z6PD*)^Bz#0^X{F$Z3+Smo~vMipe{sQz<;HRnV@%YPMom$29Zqop4kP zw&DoCAT2X`G7}JEJKmUQB>HkFD@Uc@$h^EUwi8ndXP9>(052_f1Zs(qu3?V`tg^J+ z1xI*+R?zIT0^8BKfWeV_#zOKw$Sp|aev=c3s!d2s6f-|TjqGkpJags@^YBkM6dqqV zX23(-I_Nbn`lv|>!q}73fpYj$QamSH)c<7JpIIfpKL4)|Ka%oKI24KI8P%}r!#v@S z5gk1oKqrw)%-f~@7?1Q_u!)c|`gc7-bV=5Kcg~Z^eVJPhH=T~r?T&{Ieaeqm!GhUL zSM6I%=TQ{b%*+092KyJqz7=<4WBGVDA2}XOvJ{igs~K4bKMAY2h9i}(1Y;4vV1`#h zyE??f+7K%u@u2{4q|{xb^YHw|iw`>Vy_f!#Phe>{L-p-v@7FqX#L=s7CaD&e|L1)c zf0TbGOO%D%J^s@boY&UXi9bj7>%tQ5IdeLREhX5VVmNwOM+e;$O0cU-jku`TWHR>I zTPRD#PQbpl*LH_`*HNF?8oSfh5i7cM)0IVWxh;7vJdJ z_A|Z+arpHK4^--`|sJ`8g%z2n!@Z4uNe3XG{X z@GmSS_eir-ke8Qb2Mt${8s%uLmEqz;Dl|kp(~s*Q0U@=YusY3qAPeATLb88=%aK&C zF9ajLpcN5QelV$U#QBM`t+PSq$z(^lXNO^f38a2n%8H8J5W{tpOxDukL0-M3*R&A6 zb>|;)Gx+cr68dg1>(%b7aK#o6!n@K3{V49;_r1{i9svpW>*};KZcBSazwd>ct>MpY z*tZG-7wlvtm)o)WCwmGt3n8-fBFxS-1;mM~HIHM9I%-O80AdEXp>dJxg%pp~uOx#S z2coynU0-zz7>O596Z9^POE#*z-+2$QxHVd9tJGr`NjT(BkOEq5p@jb*8v4=&$I^2?H4#5A!OvlEPXh zPn~KWY?qXrd=VV>Yd4Q3Qz{;@*^Fpg;~;ExV(f$T?Ub&;rGOUpGU5&ZLH~s3W^%#q z8`e*s#5J7c_K_|8moKijehv}um-CCRE=`%2;`J9KT~lOiY@>Q8 zzI*%roo8)W04cBn-9*yf*lGFcyQ(wUM)AQ8T>>5wi!Bwh2)=^-W8A;5u$|=EJ6C4W zu1%wHjw&Y^^eq6XkeNGM#0uDz<_s{SSu&d-wh_S~RKJ)Omxz-0z<9I4-JH9Q&S&qr zu!5D`M;7o6kG-g{^nnl2q>W$mQjWp2!Bk>GSSl1&V#@S&ojTT{pAY9jMhg$|iMFr1 z&_eeBuwbgUpAr9%uohQJIk9pAKk!A&Xb7SZz2z>v4)^w!Il>Pwq;OI#W8QP-+__iY zWQ-YJx!PZtW)Z(dvl88a@Dlr0Q!|r=zdPbi|52Kt(6RCIZ}Q{+0U)xiwz|5yX;lC1 zR!HD0-}O7Ig(`6BLRQ&x?iYTZOc~f|2ldf>GwYB{BCRoJuHKH*zEZ+RE9!Sj8PW#5 zM1!kjEjRDaF$0tg=3-zYjdl`cw_lqUzPunI;gO@{Ix0dX*TZ;xu+(Dg)H@)gF{-Ni zFq93->_2_qI+YIBO)_$g6=O3eYsA{RWcD0Ay*CH+Q_h<^>h9FNRrGEv%2>O1{E-?} z^jm;INq7u2N8bc>4}=0Y-eh~X`U znMXw7j5?9^DV6xjFPBD5ka3)VKCrb+z4&=-uFW{6X zkEFkrGNbrn`IydG%%;U+aL2XGG4z(Ag@2G|$k;Pw&pow5_Zs9|GA6-OB$0`GwO26ykV7VPA`VDtkE*BaqBW z7D1+p<|pxnT*2JE=;A^Gzo%d+ z3S@kgl&G9qZA0i2LkM+Cul@0(v}XCOzaEGwxg)|gMJ5D9S{rhkc8nFbNZxJi=gm0r z9N2R4m(+>>(*pG5z1cvWcgs+I6TT9;{up(2ql$XO6 zKioI6HOda#fU&n1%xDSecIU4Yb&iZ%3zhin($Oz32t$m%>(;J{n#oYmT4)T{wanIE zYSA*jKD&b?3jlhYebpg6WckE^Cw`CA$mK^a@(9${`aq+JW_QnUhZ$)|cB*GDo>liy`H5cCx>GWEx%W126 z^j<&%3XOaIZ?~_D7CMbgp|1by9>Nx}-4xEN#KL_Y({99Gl=O}s@(KdfKuTCrbNd+cj$*yn5v;Bb7buGISq%9-?wpIFChM1@~MOoIx6gy+l+G zG*K&jlsT=p0<1hlVy-&;g`Jqw5Cq>XM$fW@GTEF)1FYg$7%li(9 zjhUcoG5*A~bMQv>)_Y_AG)##F4Eu=(rH-ipzJ~23!tQ_)#G{PKoZk^#OBRu&j`3OE zXb7>DJ1u*w7^`?B~7 zm~5otw*oN)C!}ARx9Sj@BVc}p3s33d?XUFf)QawQ1+r*J@p<;JFas1 zyW_D319$%+=hL`k8FD6Z8yIQ(Kz4kC<&V&P(j|}x+ctNI`sMD zP>Sca(4)2-Ur?bPXQ9)>6#g=5y}|m)g8hOm(DR5BW>7%?*A}j_1oT9beu)6S*(bX1 zy?evlPL~jKj)=wl+lMkrkR7l|-JxnvXgQ7R?a!Qn0O&-o{>E2021s7SOe9yRTlNLL z=+g-yVFU>K0vTi34Z7R*^_@`-A!fx@Y}yJ5-Ys1z`r!`&W6}?JdKQU0-!JrA`Kzof zK_!jH*MN{AC4MpG1dIEzB+wIiEgiXBS!em-O(*O$M3e(422`z^y zWBZ9}YVC?UCi0a-W~KNnT%Pid$Qc~FD`=4V`ZKc@rUL+;-20^eVPiJ3nHlG=zlqo; z)ysL1m59d$eHL_CY);q}Gr*D^4E@beAM+|ZyG+XjqD6lBq!fEfftKi7t-nHFc7J># zO~zQg?${i(8amD2e^T;&}iwH^Js^KTNWE``X`4e;T->+shRE9Z50qAA<2qR4o1F+QNb(BbQU zYF?ModVB&)g*d3#88wi;X)=wCjZcSS{MH@tw%qd zI^9a$*B?l-JUMnvHEYB4$(R3v%>AeE`RqcQvrKkFJbcjTiLG{f;zk_Zzwi7tBwdeL z63#5dFA^bUC7gvEk7~yrWdAzviL52Zg#A$s7UKJmZMF`+e*E|Vdalp!Y_NzaFWnah zW`6|2=vUFYjOc87ceCz@VzaxO*Bte}voYF)#49FM@a*emreNWgf*;Xt&e)Pby%|ei z(}-&6xf|6#TPNb)XmF7Vz4G$%g7VW;3Q&jkVQsublxSkXl4a6o?#Ay`Cl%*GEwoxir88hdhETIY!Tc!)8J2O39keP4?uCHme14DdsxlBkX z8fu91VuKp#DWkQ^8^BiId!2}jErS{uf0;-TB!=uLE+gcpOc{c14UTK+!;s%s{1d)r zyna?t5Qq?0RnkLJjxcQA!i7d#| zG%-1SZ+oNR=jFVC9>Q_)WLmkld&?QLL<%-gz}E5H16Xd0x9 z3Gx)f@-+=~qIn{RX#bJgXP&REajMQ|{<>h`AI8W#34X_-b&Xfzuq^yBTNzg+(2z0} zA}=%6k2G}Yg~25+GBZ1RXTMTuwM!B+$gEx`qqS?=P_~}g5xG*;$Je1BNyd20?=1MX zzzj^^ky+kIUnhFI^0rTzy%Y7OK!1!NUl_V>&#@cO!-{J8c;B@))%2z|@*FDG%Agk* zy?OVOh+rCzVrmNuGt)0`1TjrFj^r;Ne-=Vx*i_g30GKC3tni$te<5Urfl55S0}&0s z|A&T--9pzUni&1q!h7!9U0ui1VLYHh zhh_(gcbQkfBlxs90mbGAN%7ZbJbNiIj%OS3fnr0nWF+Un-^`E{pAWly zc_d<)hP<5adKls|KTw5^P;#Hf>ZQH+Kleq5OSE9c-LAmX6Kr~MK;_iy2Y4n8#4d{| zf(8vtqVAp_EL*(KlGRj^_8kXTq7C| zlU?h_OU^C6IER}+h&9&F7~A|nTKV|yj&edsw5Ht1kr%*O5ZXGx&2|!4 z)DvoU$I~<@V&>o^DXhR+?JA#Lj2lzlvNK`dN-16WX4$S&hhLpOF2+#t+134Wf9&+S ze6G|y{Cq>P{;1WTm80Zd>%UNqwAdeWKDy6}=zhBTia}!zT#ly6>v=z|vUjh#hxa89 zpQV&L_A1NGuDw@L4x>0kBd#IMQ6UvvumqopubX;8N2cxWJ@tf4^T)Z;C1)PdWn7Jh zM=7nf!YLtSQZC&0`Xe+lN94};G1+j>areI1RG*^3;7~uaEpLNP#Fn12voG;8THO$T z4a?{=n;s8JG+W_$d*g@1Ax^oQlD0Mks-7>^i@5vwTF4~FJ`&U?Hw&6d)ir*8yvS8Q zf!~i7+acFXZ7BBbpQT-sHsS5I^01J&@vDvLFs4+*R-WBAY}+Va&B=*t^v$<@3L4__ zB{JCLPK9RXWUI%A2q&X?vgr?d>ztuuQL60TFz-i>U4-eDx7HzXXroF$(P-b>V~`L3 z(V8NBkmlyU;9-yQhr^ecm0u%@okZhumQuj70<+46pw}BU&$Q?fX$D`tnsTo$|MUj8 zn$rzWEn4(LW53*ZnpJ-$-I0#wD+;9Fy{7*Bi?4B1uHjW+%Q1RZ$4C;0Wx6=IHzjkd1v ziJih+Xdy{xqWA=7wtWsx+Io83ZC!d8uQ)lbKR;b@{v3S89^Y;ov^q(rq&LK=NLjd6 z>D8IGMDKmIKr3u(YE}-I#+-Tovo>d)FF$FT+W5s6Y9i||FEx$ul~&jIj&E%O1K>Ce zPm<1@sjyE%V-MK*S-eTYeS=Gc6i%4@_n z>0PJLk2mMv?=F#C@5}lYUFZ~I7~ez3OZ&&0ZW|iTPI0z>rcrjLu;VJ-^qKjDf>jV( z6s+l**(PQw1g|_~5*kFs&=E7xW&Wr?=i_lq(m#l8#2-95ts7W>nt-)8(nt%T_-W|Y+E`$NLNzh3c3Nj;iR8ZCm&oK{ z&b66FzH(A#n-{OY`{}YlxJC5Fl~0~N4LKv_@@l?%$pz1GIp-Y5MciGGU(j6Pr14?T zZ?mG+h%8n7;W$f&+}A{-|80-XJ^H= zYj~_4f0Su!qef@PfH;MK&H5Dytu2FftRn9Hc!D-1PWNG+9G&_FFOp(InRa4&eiGcK z`xbs~x+=j3+;8~zZ;WsFt)oQp=7OnXra?nygqy*|sHbOTqW^kvVQ`+q{dS#;KVI|- zS9PjNk}C60XtGZCH1z-mU!fG?K+M$#rxtlTA#K*Edi2|bRVm(sbwWtJrzhrqB;Yu!#YtPxUa<05rr*BRSC*&sOM!406oZ0^4ZDzPT@B3QZ zim!1s&*ssHG5UG&2blJWu0p^uxlgooDhTeBajN@w@9w#9a ztl>;U%-&I(9U82rNX!lYQ6r+c(B^FVjUYZ~%GQmTn;TzTZfJwWj>eBSRz@yol0@Fp zY5LH64IF|BHo(_&9kb0E@+#f@Sy&qCzfH1Y-thOF;@gus72-{2%vaA_ddN%j^VM9} zn)J8p?&KYe2{OA~(DLJsXGP9F8Mn!N-i1CxT)#bVCb0O*Ips4@I=SdjW|jv1o*~;l zo=0{5r^=nm_{P#h6P~qYPIrEAOl_9Q1nSGeny9YMtv|C9N=anZw&lith@mDDSDpm6 ze7|D3{z|}>C!ekao>g}J&|UlnaWgQEP}jYYx8+^QNt?65_Rmx#*GqqiBjOBLLyXe+ za{ZxgziM>zlljZb-5TE&3~=C)hi67J-0 zv-6QxHf>B&c8kmz>|Xy+#!%z*k20NB=W%i05-l@|-M#iqE<58;U6m}OV0_cNjw!5# zyu^?%F_Xfh3lEyQe2p@&O(;C5bS>_$3c}S>*?mLw4>`SAxld#gvP7n)wzTB-s`lm_ z5znZRvK!EY(+KgGX{}E-&a=2ELdz5?nubKF_(f>}T+O7naUy{F9eMv*eD&6{)~3M1 zq*YSpTUV}UA+cY$J2_e$G_w9E-SipxE)_8fHi6rJXzq(8b0oZ?<}P$Cw2Qbm$=_^? zv7cIHT+IT4@Pw6#d*pNxmN~RG*Oi?H|FnIy&E_{cao-}hZo#Qc576+mT8p_sTi4xaijU3Sc~S*Mh>5X{0$qL*bSM!a^KLl z+doa*e%IAgzCWMIda)*3t+oD96N}A$Ov$^MF*P>FTV0ooT>WyMvNfrjh`NwXsb?-8 z(Nq)(WdbN>O7r(u28nrcF+-Ot`qHk4L0+eDSQJT8_xPSzWSrsEF5j{fTGW&|8J)uVNT!Ai zc|kgN9Vt@4CjyzzB{~Y=5EJ0*@tM6ef4pjtSJs#a?fuhO3TPia^G!9$OhOEq`->W7tQ=11q>M*f)+9$T^8IvlZwxDYps zj%bA&SE=3Nhl%tn!kQ|T(unulMfee8duPY>6o!$DOInn|qen1+B;M7@i0xnPq%X~p z)Q9%{M!1SvPUH#)51VeU&CGPm2S^I|*Y@c*fAXPB4BH%0JE$7}^5VVH>#y3IPKT{h zCGd-!$bVdJouako546xwY@{uo}4T|Akwu>%**Z5ZX_*Z9gzezDXS+ zm%7mX=c~1`UvKOB0B$#VNCk!k<9RlD?l9+7J zWK%a&j*nxV;g}=JS9Mcj*A8ziw`jfl#Q2U<4URZAtc}(^KBRNi{SLkR1vVE-C8Q89 z3@=tj#_`av&<1L#32Z$B_R&!|yVbIfw+yHy>8_~HM8K`iaBrEQtG|5tDe>Jty}eo1 z&4qkE!Qa$gR|Qv{y5*Uju4}?HKZ86rYnmzTdb|sQ$Q{eWXjX#rBKlUxQy+;c2)g%- z2xJUNr5oD>L?!m=jQaRVx_ZGG5XBV!{`UCVuni^gjTK^(sw&MmMcGRJq`^h+x;?)w z7?qe7b~{H=yy*#KI011rzTSG3HL6&lJdemob@r$`KWAAPSzSLAdRkop5B_0(f=_X&z zMQ;0eZugA>x5g4sLWV-1tG?@&o`DoY^#| z&zR89Np^$@^B>e&e+Fo(>Apli(^Q|V^Nd4pQZgkE>{|*rdq#7t?)G7cM8-yU*7T(_ zedSAoKwD}nRjLZIt)&T$V_f($+?@MAYckVIJ zyZgB4a|5#(Kjk{OM|}`Js}9wv3N|QMc#_{CPSeis8@9aYl*F*~fWp}n4=M8#Oa{v7 z;?59Ad3ObB>m;_B`7V|BmM&c?r`t>W`}16i^H0yuKfF9zH7tFr|GZwT3`f!la6hG>0--js-4G{k-BQQDw~ zPAY@CMM7rgGv?E(5Qc-Q-lC{`MO@F!!YuV9r2%ues`31l za=3EFUQeKdTTF~CtJ$a1BNcw&mqSS8tT$_4J?8;kP3R+LkQ@%Hm%9nAT_RkjOqtduwO5VS&=nbt$n+flZ*$g#Ifl1sbg#Rxu7RRmtzO z&vVQ!xqN#4wU=SBOG!*^|GcaFxT}3_1&9?8!AE}XM9!s^-}$yLLvU?f>PA%1IwFqw6*PWE05ytml`+WXjBIYlthdAkd#>jtFnJ7#xH?FA zd+_5rk-G%ixbgM&yHY4Mf* z?s$qgp%bBhI}h1-zgyn=OpiEud3nJeykbsaa5laOUqk{!%c@5}yOBK1CGVOyO_lxqU7LEM(`rT<*B=96CC@<7>2GEV?8v^2uK*-piYsJR+i zDyI60lF?+VdheONQX%=CDsJ$J7+3t2G~M!TpHAo|ZHe>~4$INlio14Uu}=QWbCO)j z0-OvR+*Q_Ad|r#hLn4`UiSU64e7GRCRMdIL7nazWZ6|-5!^FrzMJx}eUp!><^XY5& zl?&i#C{sI}r1R3vj&kWcmZ8@NE<7<_mb>rFx3M$LU`Wb=2XD<^zSg(mM|rlgh_}x) z%R_A~hO3i`gkO;$k`BfYhKfa`eb8CPG)=qy{cgeX94>G7=D9d7a;eih552XZam+pU z2C3PJr3(bNbA9%kMFDZp&kM+jf_Rae*S>_vK3p(TJii*KP6HPPmTCn6-CWm_?cQuu zCG=?yr6+9$6qz~YsS)W-*C|wjrW`(=-&dL>Wih6dk&P45>!W3XDQN;oD3&7=59BM} zdSXh`@+?%Nh}22B)d6wf-}DZ>r+9-dB5n-Z(KC$TDL5(qT%YgZVd@306F4Mm$)u_v zz1pR+Yqx5OvxX-eA zk~(TAsIRr9vh^86r4RB78zeLhP}wG~x3^Xm3YdBllS`F5t_qc;%<6*H<^pH#eD=?} zo-4L516QEs2&CB%QDZ)@4jSf}W@Sfd-(GDsq(1qF&!K!LZ;Oe_9a&9h)JqNp+v`e5 z7|K~_p_O=mn?(vtmT{jVv;F(xD3^7FbHR1j@X}X7CM3De*K$riEbT8In<&IYFplGF z>-v!3i{TBPjlOc`Mxr+V-T~fh$srC_j$pG5vc?p&eQ#(5_dg&^4UK!>-}{|#I+baY zO`;Th9enf0y+fkNf636(5Q3RA)L@pC$Muz;+SrCsT=kfe<0gWO?dO1gI6~E2`l(Y} z4bK^Rg099>4cL?}GL$H8k+`@K=3<)Och>m>EltRm+7J6=+A^cxMs?$tsV)Gp(A&o$ zQnWe`-Tb`Uhl=fWc}DBFP2yG3Ju*5JQvS^B?_pBlstu3lZq6ymq+{Y}3dF<^Le`qV zpt+wZXtr!W)=~Pfz!h%_$H-J;7pbcA^MzNIa{*%2RTMKJJ)Hd&$Bs?ssvH9pO%+#` zYjunbr5cbVTg5K1uPqFtyN$c|{bgoW6_366`omr!eJccxX~?=0ANA6O%4bQ?yR9tS z$P70zP6>I}^Uc!umf8pf-4-%z_^YY&Dl2oM$~Cipk@ju-FeAqHbmrTiCfx?{c*?B{ zMDydZY~>9KLErAmapQTG8Ds@!{N8`B$kTea?v9y{{D<`r7C6G*$QdjGLfp^KAxX$f zD+EJg7jmnTLD_Ai3!ydBnYMN9HoU3eGFOY&YIdlzEAO!sA zvr2ncR5y~yTtU`0|H>_N!`LcPLBJh5Y3X*efL)XGZtY+9Nc zM9THtmZ4P{M=V_7mtoxUXFkXXo>%29wTSIfh5JA4`8j3O#D5TX+y`ds7i*e~d@bQBvrs{ETAs zB?v+g|I*R=%UU;!Jim4th)R!7*+SVQXWY0TKWg!-1^GDe2`c{C%Ye}V~Ty|8U9SXMKFu2FZ7K0uvc0<$g+7B zKlPa%3!to6{ku`m@&zI(U*EaznQSGdYW7b?U%AAt5ncP|(>q(UR6W=tp`}v<5e3&4 z{UaKsCj>O(?m-gA`v`ubwbr85kAu4k=<7^TBx>X)zQCV1ii2!L4TD|N-2)-}qJ9_m z_Dz>b)+vpYM?rCMt{&b3WDw@WonyQ!<@USvu@CIpzgZ+g7yo%I>BtPcdHba!HM2=L z0O|Xew+@GoJlL7ucDGji{x)|;zV+9rZ1aX9nbs3f4(q-xmrUA=6Uu6uTB48@PjeMk z=x@n6gz(cW#*~LQ^zRt!I#Lvrl1Ue65?$u=-0bFDM}-DYHA1k=>RWqC?*A^`3bdW{M~*NCWBSAt^A6N~Gt8 zx`bAdO<`e(5T>gwe{%5%#7JNy4vij+?)%zvQ~6$a|8M zXIhn}LB4f@g@v`Mop1W@zZ%7?lRPa-E~LC5g+c$llf*e zf+V5A1j&-vg68!ERQJsKvz)FH+IOk^+>^lc^&Jd5OQiRSFR){|H7x;+PnUe@KzK*x zU*xo$9KSMgTWB}Qq@Ftd-0o>%kt-hTaxGD^2<}_K*u{7Vw^Zs0QTwv$eH85j_Tw$) z^BqS5T@0#tCayzQrOrEg&JhP56l;4x;FZnKb0<(Ucix>JMpC-l>zJ~@q z=Nhu8Ie$E`Yug*V+W+j*nNpiI^qm{TdQU30y|OBJ1||=d`_= z6*rB527+ZxiiQY^AxGb@Jwe_=0xD(hpcSo#tzkh#UhN_FD1 zz(gp0=iP?17v#y@A)97V!rUfgDyVI9^I@_4cna*N;$>*pED2sB1(efeh;afVdYM^y zh^|~KT?*#;u*6^@efh8#b<*0~Hj5g8ch%NbR2B$}vj%ky(|DPFjash_Qe&4NLv1}c ztmCpK9-0>nR{b(RZ*uhET=)K zX%P_>epnzf0oRNMSB#u@*ZwKoJ=B(8_(_=RUX$NT0%9c6C)>_$dOq#VWu|o>Uszq- zvfbQ1RbJOeR5F$BtuErq@QIfK$u(?0z#>0sZFFyq7$`$w;SBM9uvQRsf*TIlk`uhF z=3eD?Wjc-3a~j8GHUzdd1j^}>lLP@JRr?HB={2SL4;)AhL$ym!SP9PAwypsXxNMJb zPjCA2TbWvRYL6^AyehOEx8r-S;Mr`B)>br6gj{SpivOTXM8AH=@=<`4|1yc1nP z3j*2CohP;Q$n}8c2di%EtbDwsp~U|RKqSQUCKQ5E*Q{1(l(6fil(4!tE}d==*EV5x z`|E!P?@4w~_l0CSdaeIM&H4O0Mt3~Ri8z^m70{uNj2=ek=akg#vmDl#Ipu=&HpSP@ z%_Ad%^j^sRneew85}NG=8A%ql;RGgBc(h+Mwk?I6j^cUEzwD_VUVp`?!0$zUqsg;c5 z5#N@c31JfEjp(+DPAA&GW0d&X0)P->Z@G2rJiLu1+_C(MBQBQ0{ zCt(~HM)W`g(<*qNDCNOB+L-+v>G?O>RnlZyR#fAlzPF^q`ygc#lK>9&rD*d>U(BTJ zY8v%l75zqHGBDi`m1(GCc1IjpVtNKp-kT6J5v6e&z)rL?EYle=6rDZAfDB3K(7zw( zJ&IweY{9}o4aas33BCp~WpLMok&foUdFq=A9~ExnN|~1A(9X#GD+31n^lT`%jIak+Dge6ghZ%0p{qhKfZlB7)*CK zi$-07Qn3d2M_0VNQ)#QU9uSZxGG|gWzeg!_G&{Np;+|C$6gQt}7tq@gZB@0gG2eUxo8*|B zH!V3OiWo}qq^mu57wyqezCXHKz;4JQi4&i+jg5dz^HWsN>8()kuw5 z=8ZNmbp9v7WXIRts|>r9F9wGixqLg(=(11hZ&XYtdG1tFxZ?B@*!3FFlQp}X;m2nRHlnA# z35U8G+;m}J0iR3*3?g`s0eNk*44SH^F$oh@S5gjP#3@L&jEZWxX#tlr=KZej)hr5? zD%b>%=UjL|;iWi%F5$rf;EPNv44k%=rJwc}w22_S7=JjkN>`zlQJsXuW(0FFP1R3d zQIm?>DcDJoI0}O{0GXU=Lp$)O47z?2RbW*3pdIphip{Ke1uvzDMuCu(&^N2*slnRKej2(PpX^4;{f`x%M*CoRzM0kVChu)0q z+UQpfb=20>5xx0~r+mc;O2Zb-Fy=DSkA+jJW<`Bi@3R(t${?*RYkTQ5eH*M@lk&S) z8fciY{AIoW`5<^FYX}&^%|DGafGLND)gt4AEGLOPNxhih`qj?jDW~*|Ae+^49M)-W z^;e_D>@jT0WbvCsElHjVf;iQn-~Ng&8FC;Mr88EsisA)9-q{OQk!q}g#>OiID53%* zyqgNrm!ydgm`*`sex1+jxZO^l>Kf^(RKF`|nIzDiDAWWx7NVq=JXFD;skLa=(>wH~ zX)3o+yLPEy)_fNfg@PA*M{Qpwm{PRP^=l_5I^Z%Z}|9b-e?+N_<1lG#7 a==4+5A8qZTa8mp?y0aI|3ZJoJ*Z&7>P(r8x literal 252548 zcmeFZbyQVr8!rkrDySd^DX;)(=>`=P7Tq1vAl(f%f`lx(1(tMoW6|9W3c`|ZkUr1) zbbtHYJMJ0x?=#ME4EJ(umUF)IeV_QnGxb-Hlfb`7auEjy2OlXZu7rbg)(r>ewBdzw z@PEc4lh@$moT0RYIDEpdJ+W$E_`tK1)O5tbA@{@n#toTWH^ITVgM$=*pyC$4G~w>0 zGCOf{vfGXjyK&)F0pb)cF8({}jEe79vdb@3BrB==Oirde8DP{Z*K)0$Sb3Toa3eFI zEIex>hxruo#~a!Aubq8#16T74#Rch8Bc^$)l=O~#oczVKM5ynJdv5U(o$ZyK&fc9I zj;11&a{`3_S=j&m&;Q+l|DPRrCiX!`DFRI^OD>u9k=yz2x9 zXm6C7q!yip-f~HuzoAvwRq)liJDD|`q+LSR=!T!bZTvsqzk^HT zbkAQsX}(d6(xEuQ>cx;GV`RAd+i9B5i{Gsm{;u!YITG4=Z%xt9S7MmwWsnK9dnU7= zy^7vEy&LY7hmJC#J-(_-sfjnx{WBt>Sy-)CFxWvCG2z~vDjlz{c6bygaP{wn&J#1% z(9chgVhCrWocz(!%9L8~W|uyDs>B!N^S7>8{H%Dm(D(A@pKssioKbY+aLCMgWo^_N zwxz5o{H7c!aA&d6n#g2giD{B;?x@HEUmdw0H?ucGd!*ItTI!sK+CrgI#K@AubzYQL ze<4~LQEdGvO`<_MHdfRqGD(xE)5}}Bo_E?Yj|bEmiw09s{DgLk3Hx$!|Olc)bxMy zcSp9j&;)ejrrd^t7O3No-@@K`BAf%2qBuVbN~p>Ai7yCYt~Stf=bX3AzB@}OyGDZi zh#IZx?-|CMlqNK(GQFKeVX%TsIF#`ykvGh z&y2j#h*v?xeU~NnjC5MX>D=m-m+URe`C480&#WWYiE8FcyX1q1BbALx5-!x|u-l4l zn>=DrPm0TFkX|EDbaUXBSQS1Y1Ra6bW&B7Q83t&CB1KXn$ck>8H6Q64E6Y`flM( zB7+5NgOt@{bM%IiH;#w`{~R*T{am5f^tV#CcP?Ad?tVi%I!Ld*A#|rjek)6LN${;? zcBFILy?Y!~bxyGLWS8o#{6+b-#<J zqhcXD!uMzO3i907Li$LPgVc&_YG^h6n>I$>ZNKR=2q}^V%vSJi`%*DIxFsE9B(iz6 zDeCPdgfP8@@+lKx)VcmV$Fv-FYr#j~<^n6#FHTE~N1_8q_heB!bOphj{33T|uhBj~ z!}jMcS}8?un-Yw--v*^At<;)G6MMV)HB;2Cd*Dd~$TU9=7(d5bNcbs;Jjs~WKwW?$ zy=9@$GaYST)ObbjZe|jCmVIHK+9C~Y6!w;FWH~dRCwNa|?0d-s`xMLTLPQYmvp-wa zO?VcOYbUg#-sNFPt1yF~)ZI_;$m{dlCT`SV8%fG{o2E@p;#y9NV0302qbt5_0(b1B;amP&v?M`Q#?NuBztQ`&ZU+K`49ac}?)M4Vg}+CKM0~Hk*SfD-+E;yTc81oCHuHY( zB*HL(nTh@KpXa)Bb^~#Q^r!!Is>sJCDdPTw9X zYpifmo;p%D>AucQrT>m@@i40$o&{JL8-|oW8s;6W9z0zMX3G7>xtuewlCC+2&d?! z_k+;0!5X6BPU+}iy#BvS_!~L@JAB+B_Coc>3S9WR*85(S-g*q&;+c{ZIk4hZ2ye!iC(5L?5 zrAw*`3LoO*$=qx8kSO-YCMG7MW!7qn7n{iw6B9GAu%5!ARDGXJE=`5l@P`IMF^$@LX_ zh}>i0IOS%Q?&c0=nyqcbQtE`OUlU zbX}7m3w1hs`}XaH?&O#06&1s`j5<+Vs=b5Pn{LZSqAiMiy!ELvC3_t-jV?$lX)bSg zA?aIN*K@;4DsGpk)6Var>cUHOl|B;e_z*N#RZe)K1dt>;2ZuLNkprANltLc=-L1_G z^!S%A51r>x&2LYyjFwua*Lfd!7}Ihk$tzm<^C_R-gi<9HP*us>>g8xFU)0D$FhB6A z%BTC^4e!7LG}~H(+hi_X+B^2&mleg+Tx2;^6~L$Wn3DsbkvyeyRW!B6@hwT-lbn3HofCZXoQ6`4xDITma0`B*Jv3LmAHY0dO=0I~4k%s<_hFTOn# z&7xg~&Uq-IOZhRUcUUC%Xfe!5Jih2F*{1(EBA35}9=S+ct1c+2qNH_tVgJGZbV@47 zS?w|_WXnB#NXW&(+)KiTV%QL2ZaOq!Z!L}FN^$YYMSHWLYp-Gw*1Yg@7SF%?H$*&X zYY8u(E43OaI;URdvAv*>;#QSIMMCg8gnUz;!E0PQot}KN{^^5dWUnHsGe2R9I#il) zn0;wTHmz*1;*^6XuTnP3IkmXaYSjX1WE?aQm%Dao^ah=XT2XQ8a4`14WST5X}KTlENhjRhvJ<%MS$|OH>OD=GB z3b~*wI3=Z)QeHS3$2gzz7V{!tvd1YC{aMlQ;i+H$4fGy*)Uhv;Ti^Gn^ah(=e0OvW zH#hhG&X{fKlh3CH=v-HalI2&Vlq%6i#1y)g8&T=KRgBhy+GdHU7gZdVlH~ zS!d__2+5_TZ4YeP5nsQapGqyM3KC|}gi_RGKFyCn6Pav(I1WW0qXY(6wV5o<-^8Fyn@K$X zGDjT4r}Xpgnn-P;SRsm#b&uM{y?FGq9JGxAQNu;VYl^=J^mlS|1ea3p2r4+DUvqE` zSCH15X+8;c%xs}d)NuZ9RsLUoJkuIC{>!38uX`hou)N6w`ILT<&eD_Cn{D1wlUGZd znPHfV>Mz#8dB{OKL2coW2>ZTOi}pj5+P-jmj_&@4?)uS$ptBK2QcBMer8W~n5t(Uek7s9RM{7OH%WS9edV6~n$W2fb5nCzfSg~5%`_%uI$S|6DZlt;- zRH-_T-Id(&@$pw`tZZyU3j^7u_A`%f8zJVWPMckc;}$~Vn>VGE{LxgXI!inB{eXXa+?}&EsL9a&e50mdf!T0nlKAlmME+3rgO}$r zJ$F}7{SSJbkk%wR_JmZD0{Xp_wANuNtQK`>{S14XQ$x3w@ljjxIiwR2(xX%sWoUa; z74N;t|GC51rK9z+nWRP_A%i*i)qF-D?uDn;manH9$(hoqS3neZ}IKl|7|JvrCst6kojaq z=g6%S`Xps9ySAS&Jg)Rcnf7=gdidhMr$8(C2sK)6>)T9X z)t463+t){HQGjl|MKmo@>U$c+)5IXy$F4toc~r2A{lr0d<^kb<|K`UHsfC2ZL?6jF zW*64ogq}`Rl_EY$FHByLy*_ZP%fN6eeF^$yx@q_1{ief*nlt-}Ec3Rg9Vy08F6mzU zEZ-0#zJFIgprw?pma9d+@rK;mMbdsi1bIBV7laq?8f-gOdAnq2id~;^{t8MY9LgvU zYQs3F?Vu{B(5FkDLr?t9KNU4HE5dl<_maZqo|geT`n{vk4!uHMD|^!9<IZ7%fj+P+QN? z#Hcq?t>F>xtZ3)?kS7i~n{~~~gQS84f1;3O02f)!#K>qI=&#N95ucLpYV1V#be5%4 zL6p_dnO4D7*7DlhCFNy1`SOExw-Jya#6_qURaB&ufO4-{sfl2-)P4%ZzkADpiah`F zK}19ZdC}w3&+li{PN2%T9}+QHp6rA=hZSiAyR;ASMyixyYVgKriU_N1UZ7SSg($A4 z>xw^k@wY~^j6hXGqkq2VuCN?pJ^S(jGB$mUia=?$Z?s+nDe;X#u$?`rS+0=w^N~+; z0v%$|H=kmP5iFrj0qBxZjDVEKquz?qrU4XPQ-*D2PF$QSa)Z~w^8s?Vztc6UM4|Ty z67;Y=#C8OiaxeUeSbAUJ@!?yl$qy}mj_|%CCaOe5spr%4(*wEM<&Q0lhw^mymx{ZL z14roR?{atI4?ZlS&5aCCx<8UlTT5iL=PJOb^N>l?f3nf4i^(F7fX;5__8r2S?Z^K# z<`O4Wln-@_*U|Qn>FQ)HgYAcul!xzbvPH5#My;sL(7DorTFPF8DlXK?9&Q;-GiSRy zPljA=U?|t_y&5`hef7Ukjm(RBzUTg(?=hmjbvw)1t4ECsSvfiVFV0?a`u+*GMarfw zvZ&Q)jKPxcr8MG5Q|)1iR&P{MWBD?ASd5d)#8VaZSV};z_lzd5$t6k1K-FH=B9BYH ziB)U9(YI3ma$mnoA?PV7lCZ=?8#%roXXKlL$w^gyK#M9h@1c%}ijp2IIE`tm`b^Tz z{5$p^PIc$CsbnkOxtHlTZr;qUs?w^gtlZc`Nxy`6%hjvZ()Zc>n3e}1YZGE-G{H3QiPV?YqG9U! zLrwmdIOYG0A3S?J&EBZf*Z<(3$37<*PT|=7vYx0?ef|113hhVXA$di3OMytD ze*^fNvhVM&lw98XPCzqcXlZG8ih@Xavm7yVg!g}?R-GIl#PNK% zOEOb4t<&(s5Mpnk_v1Un{G{jV0Fk^<&$nybB6&k#KvLK$pU3%NQhBgaJ-d4l7Q0fl zn3qOyP*85tcEi(Gbh}>}FL!gobt)5r5rTn)&+ZA0gxl{JZp%mkr(YigS1QCD=h}NB zS+tjqG<9`zYierJ2(DeLJKE7c_*%f`gSw6?S; z0w8hveD>zA!X}EorIF%Ncz*PvEgmQs21(WQ2~JANevXm|huXX@4D7AlZ%M3*P{Pb< z)~Vv`?5wm%=6kpvbRGX;B%8hsWfYMdA62q*B(tVr*Y12@y5h8e4tD!739fqmvv3Gf z(ldl(4g zC6e!Mu=IYtBAVkm=`NwJ=WgC6E9@HP~R=`XiqC?fu==sS7=yT4E{| z#>#CUE_xmBVRpQr#41zt{b(N%T!_@R>48ipzHr7kFqHlA;!wWrmtR*q;`tqy_FlYr zK^OQ<*C<{+K6`t2dr05%XLG2Oy!;hUkx*X(p|ww^N%$R%6MovDv-7GLmumT9F^QgX zFVEpS$gVsNi-`CL7pB*#`}q6!Ovv({%|sQq0m4s?dT4Rq3){f`t~7o>`@W#mawtnZ zUk{a|r;j)n8{*i>-z2A}s;=HglYb4$nTeTMHq>v};{D@;)!FThlioSjTbEl`cbTqU zFmHZOwZB_`GSN@<+9Gf>z_Ik$WobBBuhzq2s?OVEcfxg9uS_pr9U_u_cczW4K4;9P zy2Hn7xpZjZ^La`YAON&T%fXzU48_!~hMW45C@i%A5u#;gy<(8pr1iS4W5;Jt>LjOL zq{q)t2`-4e*}1t^%x252RNxaCXtem0&q3~7dray?wd-OK@1*%!ow-~fduwZ}(xXSO z_qXO#XWOE9oh3WYVGroH!A$FwI|kBGtfd&X%AY8@z%z1vShNl90xb3{+R^`ve&cE8U3H2!2TS?R?)O=>!31C3p8qwS2wY)w%;Y2}*CL zgngi^M3Lj(>kT)#ZN@7EW`SNpszpGVUzw`( zsS(~AdvkHN2qdVLE(zHFb#PQQ8>y``gh!iq`uQ`{_UL5A)W@0dXjlR7_@Mqo8^EfA z^=@{4U9Y^)1`#&bM@B|A_PnH|r7w+{6)sKH>nC~d#Q1Dy>(6hrv8h7|=r6O@HZe8L z@;y1mUY*PL_%LI!9#RW#2ccZvG@)JPl(`tRV%iZ)?3~2!H(@8Z()-!S>BsAvtuyP* zGwT`97x5@l6>^}{F{$T;8+%g$canD=vo6oH9Lj6$>>OlBk5A#9bQ1$Ki?{sMcwkp& ztinE(+*eUC^ysj5cT(F-zv%$!!i6tPiQ0xJ9%Ju{u4kpVC5!shq_sNJ} z_>Jz@Uro`?Pp}@qI6iY)8!ofxYpg5t6rupSw&x|10EJUAgarr3-1KtyspZMqF_{>S zhH-~B7Sr#ap3~9OHyIlnM?(JN)TX=L;~JgP#C_qP|#M0uZl!l7xAv9cqDL!O&YPbymsaKr=%_A-off@lWZq(UczE>sOcQBH6A||tc%)`M*OTL;IoSJP ztuhEJx?7hU$9JGqRE&|wzQHFoWn^Mn>}Q7(_G(e1&da^uTTM;PRFu+vT-iA=uWEs@ zdI@l$EE4I@zy6IVb&%J*`$P0LZFch5I^-Q~Nm6lf@glK4W2c|-(IG~(d{IVPniC!` z4SJvAnD9n3jqcP<>W>TYNN3$n4<4&wg?#VGh2aHHJ?qhumO3Ayy`Nz_n>MSS{{5Os zy9!1*mQzW`Tl8TG3FO7ODJj&&ka86VTs`~L>8~%{d^6w({dM?&-XSIqHeqJ>Ko<54 zRH?_P+ag{SAk{VAGP0>&=BdsdDK;Bh3?dgCv@vT8ygk<^FPclF4PZleEYPcC%5$|g zZ?;otQ)Z})hIV6=jKlaXx$V!Na6N#hx7iI}#oRM^F;Zmmj)8%J-7Mbz@x!L?&{1>x zCZC@^zcd@A>!O)38=905$*TJ_Dv8fNWsyhd4d)#0rq`|?ZWn?tR`yTJj^+-^17n^o)0Lo%t1V~h!;xi%%F$F4@>2QI;T!gwF zd$r3l_UCg&ZLHD@?~=MO*~+$%j{KYLoE_3^wZ<;XqY)@?!l$d~FgYo6a*W@Gu;&gJ z-y4;8heaB?y4Fo`Kn;A?bMpfN0$$bYysAS#>I215&|tltvr9a8<{evIMsY9#i@t8x zPf->h1qNPLR#Y^=CN9M9P2Ne(V$+84V>mooXNoDenIPu{JG${1*=pBSmkBd+0jCR| zlMrI=fg2kefe1Lq4v0k=Y_<;W9&UC?!i(@@5VPw}jEtm#jeiQ*cI_E7^-6 z7O|_&l11)_K1iVrMNJGr!44wPXY3L+3gkanDqb$aKf>r|8D_7#Z~yS49Bn&Z5AhxD zq7VBHT`g(1`~ICLd6jdquf`SucxGl~yseTC%kAQSL}%~2*QP(()+xL@UeUA}XIqDt z-G$kF-LN2Y2S^X8QO=?d$U;Yl00Y~*lf@Rl4d!a|4)M?s)ePynCRkR=B?yd|ki>qM z-Qi9GNN6|0Zq(RsVY|06yR!jE>tp9ebC+Bgoos-Ij2LUxFY0RSRb=6?rW;+F$XzQ2 ziP`ET3#T3R!itKD0>j6*SKg4?ydAYESuADWJ|I(o(x@O)7>q4FK9XzH3|P)}8(^=J z{#8R-cOqmsf4V|ftcn~MUx)C>R^2|C@-NB@3c4jZpwQtztu7Sz(L981uxwrP{lz5` z71ujgFDynt*mwM1pZU)b$jSx*$1}xrCKw1iqu2CGs19~lU4`>PM2{;NSXo_UfAS5r zw6w4TIC7cJg7}1j5*rY3aTBgen$%?$1-(9teD_yRY6sMMS&*e6DNP}h41}Mt)o%4h zA3T|?aW`EWE}UESJ*kE;31VPk;(UJp)0vkKlr=Ri)beyJR%$jo3#=JgSe$bgTj-N6 zGu>pXTpB-y-u#-yk;1jysKm5`7$S3i2EKtOzEY;1S$-aC8tY$Ikf#w^Ku5SxKe zaHHX*2lI3-Su4K3C@AXj+Uk+Ov$kdI;x@_|^0@nhkg3l2Sf$UA$3f*x zh^WYq;fL$Aj(WmSBwcEgU!}7D$e$8l%<1yXU~j~>2A2^Y>rrfFjss#8yRh(-=<+#P zP0g4XL020MhpnjkLz8~K>49>G*;WDe$Jwjc&eyiJFu=5OOeX5%l~5%n91O(dOX8Iy zN5{T2*&RnnqI;w~Rt1!1#>T^&wVt~!)|?!lNtcs&nkYPTbg}(q4kV7eSrQtURgx2! zM*z{+;rER#nP}%$4^zx zi-tB$fN~8f#!x6i&%I~3r*;0*HnFj5&?RzU)vJFI0zKter52Q6J$2H?vHH7o~`uaK`k5UJZ z`jzEJww>mC8^CU&eL4d8=qszB)o_78n|hAMwHxX-HhBD$C);lb-+Zi>alE!J*5z4Qt&?4-l;e_#+xj`nva^+@GHyj4Tfce~7oRfw$6xUu zu5mA3Joup9b@=3-IkwUiIM^W3;=85AIwjuZnnTT@G|Nqpb61$+n(bkW<8B%@(C!hfc3>Uf9uU=Pby zYBpM#c4mx%`RNw+NC;!Td#`;yuiN&>X9s}qTqCJ1SCZF;|46l~ZToV-&&coiwZ7*d zdG+*cV9##es7G)D??#W}+0!l4_&y?h+P4>rmp~7FEU(EKc%Xs33E(4WX_aNVy1L|p z{@-2e4|IFi9|aKW|2)v59;$BkO{~;iC9KpVbzF0NHnbSDcj+v~o!7Ye>d^6N~}G8-TB4vzrI0oR*W*o}*pf=>-ok*D1If zxc9kxgs4C{UCvpA`TQwdWhEsgv%s%_A{)p=do-~5XA zE+yq3%pt`Hh$MA+0oj6J1MvD~;bhs?m$Z1LyXz4r2gh_{=mkvW24p|kJUf<{6e73h@7VUjBSk(7qCLlO4x_EXB6y);_YlTjjv9|MMihh_H{TLqiLlh zhfO9u7IUMwx!<^9#8T!u6SOhhq?U(kSj-d=B(p|WoS)FtX|2!OXzy6pm@c10QCz2C z*f8fpE{WhVLJ8)ddj2foRiJY_VJ_#$ZZ{Nks4=88nnsIs926yv&99opwNkeEiE6Ow zL;E+KpZq*nT2sg$_U4Mn?+-^zFA9yCNQ?saHj_@Q*j$6dJSLonM!LFUx!dA_VeHI^ z9~+Rxd=J`@P66y0T_3+NQC;p1^|&KS-{-dLl56>y{IP@dVqOn15z6hQkv_>mHluMq zeNOs#yBETuUcc>zHZI*@zVL1lblTvNV^CL?i^?Zlw0qb2`NI-z)*mH0W>!r$RO^uv z9rNFry!W6p5z__uZrqv{T!Z^{l<7 z@pTIUNzM~h4ZI%n-PvbP%6MV4G<%}0c|`2nNbv&b4BiPY)TbInV^zRu(x&?d=5Fk~|g|hSn>1tw)V1 zJeSxxfuR&6`7|AviAk!eM(hDA?*JLb3QK1CAo2@5;#+df(8pFfe$ys@XX+=h7({W@}+#;cTOF-90|F_DZ$2SZ!4&8Yt$H6IOKnLK3Ch@ zCVtgf6rgPCAjTya3pDba)zsDFW`YGfSQO+vYnpvd_zHpO!XjkA_*i!Q z4T!a%P0wd<)_|SQZ*t9}cE|Et$8e#MEPz+tW7r)6ZHi@YmJJU~+3LfCPat~vm^##n zxUP&_1oHpB%_A&40eUj$Qt3K$^GchSo19h|R$$#Pii%?0s&0y;<{ylvFp9>b}-7~~wa3UH{Mbr&erZKE7EhQd0l zM+el?hhL(bqupS4*?A|N!se&y>#@&@#Z))-y$an=j&^0?R{~laLg+S+l}5V&RzZrn zB6`>zc$>5FCk7J-q6eqbF9qzjk05bi>Xy&8fR230WV&VqnKKV_B;0X4)*PRobpM>2 zBWWQi=TPZ-g-2xQGvXNcu(oX6=AJ{(qnj}c3kwBF&JuBu0TeDm)62zBdpWH~xrSzb z1d4978B2mPtTD|#_;cOuOI^2w4{pLegNMUWo!!^>Xge3TV?lN{;DDPFUm* z31wGfOZGiEm@-(#h91D2Pd`Bbr z&`gR0(*wGQA(owB)9~P2V6q87C2sm8FNbjfoBE@j3_N0tr6ac3L5W<^n09w}Pc!RE zq~qn~T`7}^zV|str?OWFnC2XmY93&vjjOwHH8nzx&;;Y`XBufs@KG{gtkMMtc z@N2vo=meJJ>eu_EfexC73Eb2Pa<-x-O125>!f>`lvN#5@ZPWnK`B1s`<&rMZNGRqI z8`C~1l-5<-gWAi>;W@i2L;Ak8ouUtnWShtw11pz`+GIcrt3BD@S&r+*55f9eSS_Jo zawzm<%f8N5&@=iC;b`d4MU1F;s;p1F=+dYi$gQJo92^{|szU8w8rWj$(jK}ETHa`W zSU3NVb+?o{n};VE{?5VfLWu>tZ@YaQS5jdJ60m$n??>rn4AA8-qX}FVD5#U{4Gj%D zjibow}Z>>w6EB zHkq3{9AI`JWOVe6Y);-M@;jzgg4FZ1)p=!n+TSE1c2hSmDXi*j9X037?a$h6bj~_o;0AX1eDNYA# zA|Ff&HHr}W%%PWYATM>qa7w_f!w?DXb1|UL#tM77)GlK68C4yf9H432i$n5QasUvX z3Q2PB$usa{sEq=#Q#x#Qzp0Z2K%`DTd+A0-MusHH2|&+$2k%rk0xQ#b09HZ;*n{Tu zbSN*un__EuOdS|x)PKZvKta852!?~#1l|Cm9R!JIx@_;$=_|ip-_%opoEk5hX$lzv z8c4FE12w3VZ|1T$I4Sl+uEn0aHl@~MgFap}LA(p4LweHY6UkzJPk~qGwe74-WCPQb zM8T*N95(H1%G5{iZp=fw?}sBKVp2h#gDOBu?IR^>C*uzRDY$T8H|^)%(AB|0aPdfbEROjy%K*NV)zk2irivK z6u-I=Ryeb%nokqxGBYz9au*FT0WATmv0{gukxe}y9IbjE@0aC9P|C2z zmCMR_CIPtsS4JK{G!U!lor78Q>vT9x+q*%c%7qkNo~TyGR){xODD%LaXz~hSV`S_F z`jrYAjU)=ZMOF|C)v&TLcD%+MV$NmH=V;#oD_uB?>uo|=aB637GVe)wq&U{m+}sV^ z*?Fn3X|!vgzaKl47%Svnln7B&uyN@oYybDpFPEEIR+6Cbg4@KJys^#<)*BYhBIfrO z^UL#@{BQ9)ppW;5>a&W9lt2tE%$IM$`UP8XR>L7+@mPav$GGBA>#^M%%We53@t{rr zIEC`$cN2285A;jk6%6Wqcj?`qImMm5kn4ttG^hiN2F7d{O8z2N@O8fo{8Hy=hVrC< zQr~0#;j$(WRSm^mxNHj$Q# z7$Jx*OQFD*5z>=?XrCikAWb~^VYIA8F~8B`IcQQ4>uP>R$la^u=dT9D+PY6f5lrQiG!1q^kafC42_NEPk^nn=T%1+++5`% zIp~U8?)ZU9$vM}Gv3$}advVtchvmMJX^7~-5+?w%aFwp$W;|Ior<*oNQ}BlvGW$ko z`Z1f2jz+3C3BD%Jk2`kBX6PXmS9z=h*|BbRLRD(e?EDh@HfWGTniTF)%jU{ath!%T zslmX#nNXJpOHy;D?YkwkEF|Iv{ucZ?!Y|38DOi#Q>O23xqxso~L*-jg! zW7u^Cn1R()-9#PHF0e)!IXSu71?OtqL0R4jmDSxZ?d|OX+q53cV#*+C>;a>+6m=o> z?HZxsa|%qE5TY9`0n4Mt(pnM0MYXsYQBnRb{Xgt#@ zW!F7ut7Wm&F5&3*9;a1{hjr~{r=WA^fpMC#2ZJ;RbpImF8n?m`C=A10EeT?luhQad zsu-+DK>>|Y(Y6s=L3rj#sjV(Fyu0a#|BheuhV?sxdpC;sxVc|0k@(9c;UpCsaP z+ssz3e3PB)sO#h~q@}AXf0sX|{W?ji%kkkJeipr;V6`4bsa(Y0i`PSVsE+2^D*6KRv(}^X0w6L$B((`**Gme&rj%jxFR4iIDT! z#Jhtg&_3Pp?yJuTwWiU%u4wku&N|1$#r4s(gQL89I(wftK~}t>nN(uM)bY$@<~lT>D~$kwshcj`8Ef_w3kZ}`zD00S&85~!Fp!F zbPb~|{zc)1j8wzMtNbn&zb;kAVIN?2ym7o{I)G_u78KwbP^(M<^0}ng!D|mYy1!_e zuJ7!5nL?>D*ye9ycBZ?zvAGE#_dfzGw0V3|*Is_CG&4PIICS*uaGFh1bl}n-J=A&S z7qh0m9PAqI!TQw6@ovHI(Gm+IEGy-)88@e=oo=8fKlD%Clv_n@Z>oV1oanuyS!~fq z$LYMF;u+(Z^9`*1f@GeQqkcXb8k!|HzOaGNKHz0K7_z`aO*)g#_ILsNL;=kLx_788>yqg8Aq#QyHQ4o+7c(>SWhP#jlfmk+%F4<{ z^bMdP{iDO)bV+T&qKYN5aAQCiWRW>{+1Se4z`4zrqppCqxFeeCbF`>G0fM-6a7tZ4;k!o|H-;bFcs}r#NR+_`JoWtk@HXS*F+_pE>afo! zyk-68-vv0|$rJw&DPo5D1@i}Q-9_G{b+h{%t~X&lgm$pV4C%ZQ4!psR%4=#}cAmQ~ zRnq9;dtu@h){h}z+J&@i5N=BJJ$CmzhCi3KRU8?8<$pv<@WuM=%idn4q1^%n@=(0V zW=p+{$!_law6wHNjpAfS=E&wVtK366%IPvc-zy|9K0?RF#uoT?V-fM;(W);m3|6oM z;4{UZW|AzmpWHAY!(qVPyJ6;-w~hioUJ-pU1cSpM=`(dY;LW&?(owO+odRuoq9yI_ zJP-q|kNZha$1=iEFt@ z*!%bI6^Jg-hF>Mj5|_G57+`L$B>vzk?pfSNXvu5hXBwiYKU~MvzIV#!PVG&GP{LD+ zc&ZG^X9y*!Ou{-=_Kr1H`O2*>eaNrd6Ydi7T%D+NOpoWs3aI@3A0C`m^_aF0U%7Cl zV0BzI_c-t|4Hg4BVLHiq)P=;I;GpTmZ<8 z&}|UzbQIp%3dyIqNH7w1QtMMML7Bn>aCsgFfk1o!@7irPLVXPYLkh67CG&E@-#{UT zx53Fw{XO-xbQ+jV00ukENG9(TzEa#JvUu;x22C`)W}qAd^-~z=de|)Yojdn8PC63= z3vDI@T&4;P#IW@T#Rt&w3!wDw98FHRo8+-}g&h^Z;f|GZn~4DM04_gU);NOjR4ljA z9k2Dg333ac@3GLAuU~th=)z3UIVviu=4Kd0sDxqoGiT4@KAV>O-4VyT4vuazKwBIu z2@`C;SIN~P2GGQ^GF8vUAA24Lnz6wUC{n0H>!~_jgS0PWV`B!#IG>C;a0_BE-;?|1 z?PgnvRq}Lht7Q{|CuexFJY0A>IXStxtE*{wteiHD02Vt^NmXohhKxgZh#AN z4rUDe;ku`BK*D>%6Gxkd{OO$DV}6y4EJv#>zi$7cNn2zCG|6Gkb;&|u?3058YqSf6 zU)a#dh_-3_CYxR$gk`}&`IJwbu4SoKiRF--66V2!2a+-};vc0VhKqqdBad%(n0UcJ z7mB9j#hoXhIR1vwk&zzN^|uMXg|8i68-SSt$=2D`)sS!B#QSqJ!-R{qa-#vYrx4s= z(Ru|l3pmfdeR~9*1A8W9f-aZgC9S|DtFbbC?CT8ZuQV(y_;AzVB9lv1F3T5j-UbCV zK-w$h>F^7=tvzdym6tbLt^)w_I0VMhqR?2&MI}Sw`NX1=!0)}iAJEy~ll7gmT4wxW zScroo;Ii}y>NyajlOiAX%GOUr0)Q|Ucy-es$u}$ zcqo#nXN+Aza7c86LfL4df}tm_;O zm-Xm%U|C_^(ZZW54$V#1`THB+0lPf}Aa#rT>Gfbr(aywtnCIh2_kbaz@2jg_ztzFz zgc&p%$p5oAcE^YA*Kgb?`b{mWm>LRC)lv*}N^*tQcCvl$$y1GbA7N^0>H;7#;*TFo z?N^UG!9N8NWw*a&!Q+Q(wHXZ(F)q%|>Qo41axweS)_mXE`nqDt0kG%Lm>4`?UtgRB zuMWj}&QimMRmOut&HsXN=56k{_4?>Zkn~ z&mlySl;^A*Ux0V{0bU=2A=+5Fxl@<&(vSt z`?Zd#x_8r*EJa)L0o{c&xTmsGE@$DHDB$Vcy>#VP@^c*AM+Ma9A4y8!+9s`7m6*O6LPfMc`x-9x+En!g5MDhVt;WIViW3E~zm_)bibS8Sih5>M!3 z_`XCB(A%w;-k9r3V!K^F+dc1;WjeEjout0Y$oOL5sY#7${?J!*F2-pOm{T!%LCeC@ zVG`y5nXVcwRN=YH%K7>_8Cm-=aM3TI0_b!~z^p)WUnN}~=qwTK=|8WY^qF&E_cEbv z_$w%}v_b?0>nV^UxbK5u+Aillya%Hrcd+^eaOXNGEr$~$cONlGt-p6;KBYHFq59;> z9iQVpvvi^krNdpr_GosEVpDvgiyF)~ax@B0!3A(|UcGr^2x{IhFh@vutjt{%zrIX* zk98Lae`LWEJUmYU3_={jOINNO_OP4Oi+?OuNwY+!h9t=Fyz{PQ%K{2^!kQNnnlTIf3 z!&Mmwl@Q&wWhOf4N$?I6cH?1M2{O~DkwQED)MJP0uU<)K ztRCK|T%!{aNz~mWI)ZtX=Wh}2z2;nm4@LpuHuHFIc?g5%;rH_V6{#EJVE;yWu~AVy zpmNfxbf9JOQ_D6Hdb^q=RO=t+oFL~1#`epB0r-o*R6a449l*rRNHJ8|2kCvuAm0s_ z+a^sXz(QfhdDtcvl=aXHb7T)D>2SJ1wDbRT0?LJXUmAXnS~i-XL@W1&dX_a~#t2E7 zRxV25C)EbCNNyOtywtu5n40$R(g9u(lU2(QL5{q zzd4uBps9jcKb^VMdOzeA)h+95uZjvpyNs_sqt`PV%L<5AN+>Ozu9S z63@HqW=MVXYO%n2aPQ!Ni6_9p!9kE?#b zNY-@E_31}`r(`K`adB-%a9jqa&OI6XjS6vvE-&HXA%HWcqpd;!Z(2IH5qP<|Rb+kA z!Us6Vx;KPlwRt`?s^SHxpT&h5XY@@IZN(ow%G{Yc;R(O!Dy|7Btz2d^b_m@|$&tJPnG!6)a;YL4pg1Rk?0Vklr zQ9d=2Mw_3IPy0t8c`0WK4hKhy&z@iwezyI~?%YkZPKP`|qA3#Kk4op1w zb&O#i?IUFXslN!69AV4dbvo*vy3DS zm93JD$Vg=rq9kO`sLZJBO|l8e9#LeAtoM68@8|uz&tJc%$FKW#UFUfo$MId~+y=ju z+*V3TH7y~OjcjW}=ABmyo;*+`edT{%D1(+1yx5U(IXYJd{s+@3R@*i>r0%IuY=AXl zLo@uCZr>NN6;$!0!?}8G6k&gbOTRfxeS z3SG)?lG&8RKRku)mqk>VUj#C5#NQ}*ZQwFadKsCR9h=L zO?EMYAAjp1Y?LW`*R*t=>Yc&wm&5y9*W?njgf4!TO=yXQZD4YfXhu+xxVV*KR#tw- z$ceXI=i(;1@wrVL;IfL73)^N=M2?Dx=(IR>{8Pi;zySHy*&R^}1Tm)ZQ39fVqM@er zE)xovt*x(rZc~Vb`Nqn*{`Zp@*Efp|`xPEv1_te)y=%`NGk72-H@xYkpS^z1DrWJF zX9N2FEwc8%ZVXlWrRCPeRQm-5nMe3q1;$5++a9iC+kCHb6U~Bo6I!wi7H_CM9|0gH z%WNT)Ok~~tZBTWh>Qm~+Z@Rz3DI;6ICCJ5 z(VgzdRbZ$7pBU+%RBC)?a#-SS9syC6TL< z+~2>WlZT!>r)tU8@VM?~9iM=JqKOHyWW6Dr+SP$O* z$dmsFeSGc4Duh0}`?v4dp`ZBX#va{Dm?;k4HoJP2XR|X^*L&SujFn)>pPosmd>M5n zVSkZn(}T6uIWaRcvu+OzuUDI#roLB2&x^B;E^TqS5QCmBbfl@R?Q92cTtaEj-W~Mx zDNsP>tj2h3gj3S7TXb$*LBDGh?$UFQ7@fOby3GuDRs0L<`Su&A6nAk%&I#`_*)s{j znDX~-r##BCJrO)s)QIn5)XSI2#?f$AJ*&IM%^lfLfeEg8ZDqa=jirs^mnkMDM)(-D zn9MP=P0AEYV=7DI+Z?HTu5WoRAQ@|*iJc*>JBUISERBBRU93VS$>?t*cN1=87~18Z zwNv;6!GZsDUx`Odb>KehFmZ{yzZ6l@6Guj_`3=jEm<~CJii*An4ON2PFqQz1?Knp! zK491kDNOB_+&ys>0OREON3^^7(6d}^V$1AS3T;!szgs|$AL1N(SU*1en7N+3JXr!i zBWxzmy7Zh5F8t|@WIbW`_0N4bH$EYuz)=144z*vhrk(hf*Tv2n8L8lCW%9Y<_H6#` z__zg445J5HnY!rusnfq4P7{Xy<~8)pT{$==n1WkHnKtkDi3&6cSKS-w-$qYwzMf>+ zmh2d1i`nvJOACfCwB-Jn@qSp*e~2C1)gHdjAezI4>YRPeJ#OF@HA6GvPpU8)X`@P| zK>pZZ=YifkEwCCZizt$<=z9|&LdgQA-T(< zofcwh>{_%BVo#6F-J$$cAu_v;2JNh)qd06fFHzoJ=UL0jl5%=V0B9^V@M=b=uv>&{ z@P58ENY)S~VL0fiE>OVU$o|C7tdNUZ3zvuH_-91G?{Dz8rgzb$3RUW8TkYtw{t2 zp3`Z5%|dt{j5iMsR(Y<^M)>k91>L`Ye_~^ObyCKiu09NQj;yz~N+Tm9&FGy&J-F=oc39nqT2hq(Wx0nnSG0$6kLR zleCO(_9uRdXRvA338x*g{qe+kWz+14n9fg)Y;7Y z+zAJqChc&#g?zNX;-)HZXD7tiy=Uh8Htfa(VvvaTGcC9n=kke* zTU^{gcLP)7n{UApo}K57K)G8P%dE|Ka|>x(&wUQw#_62#lN-M)kDpnS>H$X8!Z!uR zbkZ`|;&%&#;HKoN^Nz@oV1%_V|A^u(MSA@8yxj4G8s?7#DoqM1q7Fnl^1fqsw+;sV zp_HDsj~;y*mi`FeU;USHqD!A>AD}F4#a2y=jn%?7`QzUUT;`K|R*ZoM2C#?@1$V}9 zQKyLsPnTdQ%~TIsTh6;uLD{k3yk#0%KhDEVn3+Na8au>2f6z28d!MWZ8XhIJZO4x5 zw?`v+4$^Q39pZ*B%JKI_cN^PpZ}*~w2<)AwYy7dJtgI}}R#lNHC6I=O#(&fBo$+F= zWryy-Jh@6#*yzYe=Fhd{CQR%X)p~H=>zzG&P;4zT4i5AeAtBsxqARZ`Jd0QVNGSD6 zZx_xxVY*ZG#P1cZn2MKTlJI0XmQ2wuH+%#Nll^;d`OaK5XaDb|c@vz}+W&Mct{55> z;18Io-&y)Mzo@1Ouz1`2jF(1pTp@1jyItRV?%xb=e#u(S+eQE2gdpSh=EHGPE9K%D zYa`FK&-JMNhz(ztf3AG^M^Ql|33#sz*az0plgzGyoS-(L@NLsG+)kON0b=6YD-{ z`N*u1hS*Ha_mP@1wb|(hS}6)Ru|y#je{@lzrMZwD>YnSJa|a$i;3~Bc8-gIe5=Smi zO*vFon7r*Z{N0=aDDQG60rnO&Ha6aZZ&yr&0>Or~yd<9G17%mT#vt zu8@(F-(DEkeSP{aEfhs3Zx21JG~m3+w4a-s%<#QQaA7)S-{V(5*u8%+?w-D!%rmpJ zbfc!dgMFq;K|^DENJz-8rVAgelAM!o{M^1g-}R2&ZKXHs_YL~^D6^H@dW<++&q+S- zNgE0BtatH^2+(brcun0R8o-KGa6OEEmcbHAMAPRZ%67`FyH92pP^(1A{99c$LxV;) zd;*>(Ir<@%`X1#doHXEVz6M5C*VH7yuHcK)Sh-L^UjE$Fm3giC5dcJv4P!5Mp~`pf zqDqw9w%m3qJ|dioqtKgWqf3%L`sbN5XNIt6LJoA5#<;yYkr6kR`2571!LKc$S}7F( z(q}-RT%Bl5q8t7)`15B9ONp<_&|5tRw_n@seV$1!&o%_l>oK}{EE8*Js__fPp!1v; z^X;M%g`A_MAR`WI9Ukho_~f>dUHP@Sq7*%{#W@GAk;8zRyYE6SlLe8< zjf4`O;UMRS{VmQFk;^(c>EBB{JibPrXtM0TLlNvAbt>Dsukcf)s1R3_`s_kkPnT22 z`4;Fkr%vw^=*;9tzB)C zZa5}jtQYzqC=>W;*tdSKqR&;+=D5RO1{mxH8SKjTP(Izm8b_9RL(pF5VbMpgM=zf0 zI#8QUP)o<2eWh%k=@~M+|KJs-^@oNNTsPYIZ4&!$?`%DlzQwpuNKE$r@-Xk*%+@G! zu2>KSLcB} zO|GEh;n}tdCSJYunedtml@tn_V#hC~D`?|ZaMA^T|klHgY#dMca*yNFqKKTO?5AjTm-!X$;VUcl{)Ovl= z3x=~&bj$k}^mdkFi055+qnG4=b_>lVcf&o!0EOjY1{;`~+VRfd$a#|s?+kpj_}gvX z)@_aL>+93t>wwtEtA$XCmoO06P(FV2NYv}05q*5~F!7k0 zH7qRnV3jU!1>m2T|3G9WYGzDJyIRZZN!g=f2#bKW3C>V zvPIeK5WTc^VC;=;CUnI@s|yp}?d|74&h1oqyj>3c)@lYG2aB}Z$vm6x2arU)mhp(D zsWkuks%&VM?KI%6L>{S@$JwSC%Ga*(Kqu8W+2((%k`o)bc3g>pLh|pAI|6-ZD0PjD z_!x!0)R=IGwBJU@BB%J3=5Xwf(xDSJglehoZ{%_7$LRO3LTMnN<=~Jza=*wl2+?h^ zz}P1D-aPWb_=DBV;^Lz-30^H0iuf>849|}rPyYCP7x6t;Q7!g1bvS#aq#S~&LGVY3 z$EC7#EYjb{D80Q-#fSX$2zGaI=U`#s%i1r2Dg}y4V{rUQf9=Rm;k7YZ;Y@#DUs*!HEJx=iAmlvx4w&A@2G|f6{_dQotly}Rs1uDk) z1pQA9oxZ-*&d$!6)AMdB4-;mMi}!N%7mg9z7*G8wwDH7a#B>LMU>heVXRcKT;g?Xb zx6iKRC`hM!XX5oyb=T9QwVpKntx6VL19$h6jh-6(b6m32eBnr6e8Tcep&|1h-g^zs zDeV=LbIFyzu9!d@ExWZ{{=Bp7llt0fW|Jzh(}Cd*Onx7?J9gKZuFp92y#8e?QH!8~uYPX0ZLIPqSjQ zVG*-n0Cf2<_<-_NXf09=-myYaV32X|^Z#i9{9s?6%letLD+$yC#~zL+o`ix=E%ER`{_3`rDU(!gQ2Cq>T;}2bq@Xg(HLgQK1pRHZlTzJrGj<@`p&pE->hv7J>+W$wPK)|g^Sj3Pyp)}fZm zV~^aid_t+!My7avR=`0LGQmane$S& z`4utN!O_twF$P$wx>y?jN<6RQQJn_mtE8*T2u=30*RP)fGCLw}w{Mo}RKRTc0F0~r z%da9BMlb*xVFV%dti?mQET1yhz#iRM2vK=R!!xiTSD|tWkxa96`L%ctfL#C$gUh=) zoN_yW6J{C-fU1?Xw?9e@eTBCp!pD6T*91_cYhv>C-?7Vg*1l|$UfB?C z6_)vf2`c84+EyFMON|Nuiw`XT#P+i+}b#cjZ-B5h>N~Yy@%t?=(qL36Racp7RWcaC3n7M={PrD_{ z=l<-b&5P&;UTdazWrnw)K{F(r}{9;lWQGMy>!)E6{Xecg+ zDqXz9`7H=9`5eK8_NvK9Nc7kl&kY26TabiOB7=j=mU(1Sbi9Lt=zpu@>=H_vYV?Z- z$i38ub@OUx9}pq_e-|@u&_gnhf@XhKownM92s{$emSym-q;TmBb2|p=TF`gzNl;M=X-0iOO*F( zE)^&`{ z%HX{kd1Jl2ytEz-kwh@BAsSbCh|%IiS^DTS9o_3dy5Ks~R|tt+ zx>4oK=>1(0TMNZcb9HFxkzeYotyR(Y`U~S=*N2GA0bS3|?`OSLtgW6|>-*>OQVFjy zAMd83V^0;4DGS@9v*d$wgn<8;PBYbT4`|zd1RS52`m&8NV~~b)vvBrtZ$dRjK_)>h z85xUl5{XTH_#eMV{N-uG*$HGIp~)6A4AUU2G?BaS`#l)Er{2r%x;MA3`7XvUv$Ow)ZOQVo zvm=atWuE4Gj{ElP@d2&AMaRmY+{0>lo>!QplAGZ&bGOF&eR@kBK6&3*6qSrNLz|k4 zN-3NnRpPIgH5HtGx9o=6h6LmxkImWZwR3g`i@|F-$}eTU<_~|7Jaaw#FUf+Cr<2v06^%G-r6y2S0A8m#~RqN=JW*x-Lv(eWJ+<|zJ+hn zm6w+{9{fMcu^R*~@a*~X1KnQ2mx?8^W&&ZPB@$(z@qeTqais8>-=()R#s-qh2^qkI z&5bLVpKL`HyB<-9MLP~ZNo8UMd@McyU&u2pg@DXn;8p~@aTI@XGwLtlI-XoXpS8b5 zO*CA?2>!{d+`;&A=zp&eSbaB2Q~k~{ClN#wt=FNOLsuXn z8}G_GKc|#7!6;=v)KUqPYreU8@RnES2r_TO&%F|V zNWD_zi}iYhnM_w#*Jkkg2jf{_KEp^OdR`g)*9R>RVJv?dh@ZX%f}14n^|bCbP&G8ZEN#?nSQx0%nwf#9f ze4tzM^>J%vl1kuZ;q%#wt<3h7;5Wt3ORvo+z}8}1?xQrQjNt`^ux?x{fF7FkOCLP^ zmA|ey<{NqdS*(VteOD9sfP)Ui;>DV{0(}eus3gCwf;l}Pb#a|K+vEa~G4}O_RDZvs zSFDBcmdsgO<@JW%rQr{y9nSFwSkv{AXm^H~ezI4J57^OFZF1c9lyndriB~$;-jI`+ z?gjY!>veF9))YQ_#^6&Zi#g@My5~C~wDy+y583Qz7KgV>a_*WiWT4=6V6Itz_>hA5 z@*zuL8}w`LNAH=xBa_us`%_Dj^L+L-zl+6&CMHjT<*SL?qDNHq89i$~jg250H-|>J z(L$V`Usbdw?R-x1ueFXoOU~jyl?~w-gO+yOZX|;JUQ6Hqex=U^(MBTDl`$#%rM_J7K6|%Yd>&5umjI8)_?H6_`!}fJB{tXTV%@?Pv>Xo&`qr zk*O&`%Y3w#smTRqHFV78;1PsI51u-;5;rl9tPjVD3x#{EN$qh8R0X%u5hVU7RJM_( zejrOqg_v%#8@e17Y$a|ChGF$02y%jP2|)w`1dW5X;91$_SRDL*<_mzKbfK}isCEaz z$_{`xt$utIbshWtTOF2~x12z2VnRd2#}9<% zD$B`v@n`{#8b^f7HStJ4U%nG3!e9YXK5qT(Ty70=sPubY31_e%2&G=K?1BKZs;lqq z<uQOMDU5zVGrriL4nD5X0`bPxlX@aPe%npbVYDB$a$UsI{9`3dVwFw zn@}9Q`If`lKUOxsm2|Ga(UwdWG`RzMyKg6u+&qC+16oPmxZ8a_D+%K_-Bv$UaKh3! z^`hF@T}4q0qnXla5GU6=H#RoVSu5k%V&dqB0J_Q*UD~t6`+xsjT*uSI(k3b$ z-}(FConfewPL8%n2Kb>O(w)OU@p(UgQ;`5E>mBC^enCIC-XFEX(xgp@DBjluupL@? zStNbnl6rf(VG!yKpNve5lyyt|Ry^7u(!^_?z0u&j%xckk5?2vp#-&!}^nLc6_2+LnNACBW_J3+DxFvSuopp0m=z6O2l)9Gp zNhb4Zy)S}wEggj+ZCk`V#PYPg-}I@6_6RW zX{xK6*%l*{M@>V+fdvqj7RdrNQYc9=_e!3& zcE7hHugSlVSbi<~sFB@wf#qDd+mH|&>j}6_o}6-fEM!}J|IERCT0kzDix5(HDEMZb ze0>SLw6zy?K_N;1KlQ!B8_)b*Y0JoMQU7s+aPIUv5RLs%RZUI7i!fsJ&#cpz^E^2i zgOuNT?>;o>Jk!(tCH+_2ZfE~eOEvj)w4j(E5xaRctez-4l@r>BZ4f4wGbMp*oPeM~ zF|pVP_Pqx^meRoGUWA9&{i&*=EfIkdBn3)_v)Ix&SD^Fp&wI8_i2V_0V&Y)zDl!?L z5g85b45uzG#LwJ0QiN$%^SH+ng@FAPc~y$Sc&@b!I;?lQk^?WD(0d5A=|WmQ4%T1y z1y;jq;=0-XpIShLo>|?WlLRj4|MaPY(I!C&&thmjvZ8I`_K_7DhNR@=&kKF%jq2Lk zp7+voO8-c@mui^70TTOJFN8ZrA4~!tda(vPCTK^-r8kezRTPB2HzvqQ?f}F<6qN6f zc3U3w(O_7B`zGh7+h(qjKszLiVe@A*Or?nTci}n#CtW*M2IdZ%8PL{e!GT`rAL}E< zfKa?hL=Qq(T7_)6aXz1p(vsW!lNZC%PEpvnd<9XByEfm@=w76mJ5_})q}#*z-M0xz zXY?B(d8zv8%=IZO%NsQ}$%wM5U;F#*R8&XP3;wf4KSJi@L~Rgid-RVC9{%J#RKgIq zPd(=C<;Vl@bJFV#Dm3KO% z$%%sstd@qS?eH*&?~sv4h9up{Lm&SW*Dbk^g`0QX#liuC7NU97umbq@q#fDm|Mo!A zveQ78iVj>ks_3U&dE$0?(4Pr_VkWk=$khobWJHC-ifW;R_X>dZuYDJwGsWT!DqfpY zhZdRTk&ll$?-B}5JYeUu^70QZNE9jNZPC|&9<64gvfk=LD|8({-XB?!7ZMYDapozD z9EP$30cVCo#$r)sPu&@VWJa%p;(O*5a#w>m`K>8WK488@G!^ra$fBwtGy|!6Nord2 zDIHdpI4Q0j4F_qeo@KOGBsv@(hbu;)9IlPI*Zs3ii*uMgB8RMpj%x+ zPY~7Ga#mZairLFk^O))mj3Cbot+kiAAM{g$JAb(r789e5KRo;TmCiP9`j!a?Vz+(1 zJxtm5ZKOhCy09Ym;qnqE{MK#vps0=mu;S<0X)48_x`*D%);!C|0^JOeSL;{ZjToy5 z?0v_!yFSH=5M_nT_M=U1L5{i64`_BnplB{UDK7rf_KV**Quul|Eb)KGXKQW!1}`+! zR>BkJNI<;Yznj9Vu&C$_pg<<$V&~cT5m(6!N5j%cJWm*$cnMTN>^KN*?(9Y3tUtzi zHvDfSbZc!ySa{YOaIKqd35c<5*W+6AmB1PjD+Y0E-Q{TFF4 zzlP-9GJJJ7P!tEXK@zzuQ1kc->Dr3(n;G!#VBS+*cE|CzS7xwg9U|h)-}r6#=MFA~ zqi*Y{sQB_|nnwm0zcaA^&WnyML|k~_B0lZHloZ;5qv0Aaf`jGo`V(OwNi+GB9pC@i zI7KoFzS78mn}DX0SLT1VQE|G(Mo?vy5NTT>3nOl|eeB=xo-u2%kA-&Hz4SpB_C1N; zd|+!KvKrpn#_Y5Trpo0Zi5dIm9(jHLl5f1bJl}CSm$dD|t;5>in`L9|MfC2!NH98= zLL+Zx%%5whY5u-Blo~#iqd0zjc zD>_*5GYBA96|OUc<}q>=g)|auf-LcygALDeaR&|6Q+sz$kXoth;xBzaCjWx{e0;v| zO^bdxZm4f9BwBXz%{zy)p^$q{{S61iuU1z){Kq|Is$~Zu&h?Xq@8$b_= zx>R^>M$j|k*hSSr31~&o90X-r+$_0NkSy-?WT)vE=_+s%cGWI+c6sG6I&fUvydh$A z&eeyWGZ}b%n9*<&2U7NwcOb@6zJ=F>ys1! z@7l{EIt~tEf~JM9;A-E!*n!jq?(BUXdHKHfDTNRhCG~wo)? znYQ6KXP$?J`QsIy#0RRn7NC?Bbk{otw|c^-a&dv4o8jWfA4%K zjgcOj@Z0m{6Wd6nY~z64x+I;nGjOT`vv*Q(dFX)Guj}uR*-lB0u}UpFtMukmLbssR zb|n%|eVg;>Ooo$u9A*#Gn*Z*IaC`HRdx^wG__q^G;6wdcI-`-ZlWO9e0(bLAQ& zO6Xe1mvfHoSGn$`81j!Tzbe*hpZQ!Qc>z*UWPX z+wEOG9MoE{B__h6^WQuT87H{hSe+#i)&RS0F8{xy$xJ`cXh09&_E*TXuy*M0WcR#q zttI~kT_N88+o+pAJ`OIe7B-hg=^)ob|NF@CMs_(nkC*gAl_iPd=Q;OOniVaHYvA^* zuX9H_ja=CWg2d;Z@Ht)4F8xjYht@*zWV(XkAOu&fTzh6VG7=JPC+T2r4-XJ`zg^ZA zmmu1#%W-iZ`NdH)tF_vzSvnRLsYCaV?>M5|e}@^F9ee$vuDY&0%3tKq_c76%x%;+y zc!PFhf8g2oHZR}IzA6c+nMHM8b@FaXV43VrVxH}}SrYoHY3%3EO{Igb4$kamg2I_D zELRfQQIZ^uHV>Y%9JgCpG5fysRn^bA>(nHn#jT$huXVb8Tl8Xyd#~Mqwi%rEDq7~} z6!!X6PeJ)r#Qjio@CYf5?54lcT~=YSWF`4rf02)ZntP&SH{@;8=slP=oVBTT5DVmR zZfNB+8JqU}`Y;8Qj=rIEI+2WhKbd@x z{tw5n)A5VX>ng?RVD+8Sxqwk+$pP-K{8mS0E>rMZeMk8CV&T_(b|xVXB8doQEPq%r zY40Lp7_FWX;=#7I{cyY9U@;;mUArpbyk}sMQ6NF3t2Ol7Wj=lIo%F+3H zYwIeSnpN4?>q#U+#iFCrtdK;gB--Cy=uG+u#tR9Rvul`Q0{ zV8%nhkWk5ONp)4A;+h>{XJ=pQnsUN268`LuW@Hfa zwBYP&lCu~WH)2}1L51c8+6m+ZIa(4`c5}1X1E(FXZ_f=YPIsHcda1&Av%85+%wpi% z-`7__y$Ds!FDxjcr(lHDfpE7V#yqXot`B9 zZ~Oqvf5X9Je{T=pe)<6=mE?K!`WM1d8N{PWA{;CQ9H;Dgke=xUdxV8p1XId{-3l7V z`uFMQ-dsJ=SJ8L{pYiUC#|}#Jg?mN4_)i5sIQ_n_ANDvD`+r)1ejD)|WRUN|tD~_oaa8`FPS=s5XRzgLhK6-B``3(t!ksKrh`u+1WGno<_Zw6uMbB6d{ z{Wdun*^ggG;OR`SzYUch0}G2U{K4?nn4uMY8{|)DC%^y?JAQ}v1ZSGif97V}@Ru(i zgPe$muqpLYi8N`H#RxDFs8cG~NhlcQ7$(p50Sc2<`*xlz40Cl11Ftob%`P{5_a`eP@liv)P(##4BvX z6Fz=i&iL|O!OM4GaBvF=$tj0!0iG;5rM$WQh1=sfdPOU%!v%JjFCsJH@GPGwkd#}` z7vfgaJ<7mH$O15SEloo3ac|tA_dIDPw;O-3yu3_$CPXp0Uq*(L2!QOJ-Z;_v8^1u; zU7$YahB47mUX!>^($;ROiB19Ynq#f}Bz2Sdqn^)u&lD-Rd(mPTOe<2Pclg6R2{tCZ zwUzL#fn^U}CiaL?(Y@p7kZ4H0K|wwl85!J-!yM$CFN6Hpwh})>y=!t&*~#KBoY*Xg zv2Am!Z9yAG5-)qmH|ch6Io*Yw1P0INq68Zo$L^q&OFlWDCG1ChM@*$3Z+k#WXz``o z!Fstagj$&;0xoU&4ej)!w^|*9zKRs|_Z9W!Mq0pnTB4 z$D*nczC=kWDMk*CKoq+nBo@-O>9AQtex?;I=?CI?5HUUSaCSqK7JyO848tDb)J{A= zd&~uj^K#r#`=FL>lwc-6`FJ57D-Oup4E8u+${A!n9pLAuAtYaSksSKjpv$Sh$A5-yw}!}|0oEtN$)C}HbJ5H%Uozf%OzVub0Yc()(8q% z_2{|f&z;-#*=afu-~lU6+$yw7GlEE2jKvagRMBbpDlW**r^TYN|ej zBd`W`MG^@^vq6;P9HCw;cz-sfak%a>|AwAT@8{kB(FMdy0M95!ip86<=*gS96tO2- z9Kx_#u@M4)K=6QoX<-*Wykt`vy+n7Bo1R_>O*!1YFcy|G3*r`v%|k0V@P@JR33DK^ zW*2=JdRbZ4AY{nd4zA6Au*Pkp56x{H}si+TALA6 z!hGp<=BWxo$thuF?5y~Z(_@X%)0WBuKTD|pFb6Z@gd!dz8m?;K?33;X5P26jVUHTo zQFQ|$c|6niTwNo$nG zFN@&WGhjWNHQ^BKx{Ec$vV(c|?oS=j+#D~H6}wj5_4Jrv4SGTddX?5*iJILSEZ-XT zizd_3Ti|>)1>&#eVDcf3Bpe1}c0X9~%ge*R1=;A7{XP2^xpX*t!e_E!K_Gb3!~5pU zIx)WKd`PnmJ`(5^IIbg2$;1fQYZf`RnZ>QhC16fLm3Z3<*@C5YjZSGc-Qa=T!6`f$ih5Ue41lhhAL zu<||g@Xf8dX$sf(_x-lBZl8hbc2n;@twJ9e1k5a+EufZp}n>4lrSa?FG3E$fc= za!5LJ4JKG|albV!Vuj@wZWE%(xP=iER!0OGkt5?%9<>nXhEO+Y;EH(U?YR+EUN<*% z?6a6_hJpRm*425{U6WT+qXo6$4-s)Jz=O00$K2lrJbn5Qx^BR#x^MIj0>WX3#l0LP z-Lvp;Kfo)97hwRnr~pVZd~6*jFZA4^_9H3MPlCPqhM2oc*4F{wl6v&({!|J?p zH2l^?>p?d(_7>lB`N40IE~EC-mc3Uo!-RUJpN5vU9C3pT3=E#g%4dd7ruOUCN~|UZ zND%;y4dEDmyN3Bt*~o|m(v+vby$107HGDV9w+Rn~n@3+UbJ5UvISySi_#J0NxEOMTvD5HfjYBE2lcI=nS zj57Y{E8wQ6S}VtB9CtK%TZ0ajds@Fe)fSN0O0LmMor0Kx9r#?PZt^keB zG+T(l-B5VZxCC$`22?O+?>~o^E4;Oq_KkQ)*u=i(hkgorZ|FNQ2L zsxtT{_kY%mu;GkMax{TZj;rSaOC;hu__(wP&=71N9S+(=QXTmKkEDW|N9)6_HHs(LEkQZP+(1W2uKkb|!POYsJ6goKC z1NI(!4B!8skYT##b&6Ppad6KCK-@<7Ct=(muA_x!o!7_o7pM7(iQq6!k=;wNz$plb zta9|Z#2?1Nui}BP#gWcnrdo^%BGtGNPxs`9mP4n7GtFTE)dE~FMyWJ zz^#vAc*U?!>cQw@33oS6ZxWF*+fZF`~X-}fVtOJtWgJ{8GCYb{^Sn114wU-XM^YVPBm zpMjNod(d&|57*7Ju(ADq@$z-|cxBVLFXI@Pnf_tGyD@ z$e#ZBsClqNP1YVobB`N2=Vv)(HvF~D9??%zB%o1f5R}#cGj^;+Xz+eVP7jvd#~*e` zAPTv+yMD5fh5s?gns>DQL-a_X}j662=tvbgz7 zCkT|L?g0uWk})nU;ck+Q>0eaa<|oyAAVcYF)6AD^&8Jg(|LwkSq54jrE~Qv_d#CX?BflW9>H%*+L2Ji5;KK*@pbLeBlk`^3^w9ZLe1GxPJr-Fkelb!)w~QWD0;$9*Q@(A~`ouQwoXH^O%^Jo_;k=&CtX* zy!f;lU38!M4;*`E^)wZ~u1b=uzURKNVt3(KaWbikVXZt_7<=TziB7@6H$`034|+vg z_kEvRTug#igeHbJUO7bByXD!bEhC-7-)S=K{76IeAm17Ny7a0 zuF4%lxFt@~A?nN4-h=zXDobxV&s-N$WjNvJvx9A^d35b2Ele}C8v~7F#;WBAZbH_N zD@4YNVPQ^q9geGyj?Ivn-Y&FyDEsf6g~I5dDrtQ0!;b=QFE09+eQ0`^m+OD0dCdQr zA-R_rgGE~NQ`23)7)TLdUb&m%b3V=ZOMiXyeTqNIQg-;V0rMsLeNz1*zAqhu5~Bb* zWd+-g*BD-Ci})GY+G8sp&aj8nLAQ`BrEuZs{^{~AN{X(r#2|8yFi%5=c*LQNBZ$NP z@Q>XUNUl>PjekOrj*SZ&JVRSN>|zPA299EFh}n{eu?cLCYH7^;WC-;7aU)rM`ib1G%Z%NW#KmY~ zse+^5xq{N&=r5dMWPb7p=%>!mT&QAc`k6@k29x7kror2FZvr`4_gH!_@j314?@c?+ zPpT?p6l7iuYSa|mT;LyfdZnoB+`Wa9Pg)_%i`tj3VS}_)E|@#DRzWuHfvg2Bi~lZu zzx{E~8T3@`dipv4N(_JH{~I0o&~W|TaqFm~=8X%u?QG9rt^uv&@Pq!R=tNRXMq!H) zD8iKVA|gT!+Z$XX_r<5Vs9Solq8D%?%KC7EGI!=-!}o6wi^{-~d~{K{cyqaaAoSSb ze4B2)_s9Yg&0D)}q8f5iS1vM7Vl##@5a&V_Zo!^3j1s9-Ndv8j+$eI8a;Rz3^C z_@`bw`%fk>A|ur?fGyQEchEu%m@uQ6ainyABA|-mz>|YE7M}E zW;>^z2^!w#Z{#hRrP)tAs08!MDUjF_5+zoU}h~%AJy`|i0G(>Oa_6WLZ;<?jk@Kl|fG6VYr)ul2j$B1LW1dbs>n^Hn&zOoWT z4>t2#(!?C5*pQy7WB>-IooBcp414=yaRJ)Q^gtS^fxU%Do7_)o@7D?YejtKGpVJvR z@<&5~jnyVqyFvF+JcHsH-|~Zl)UgzbI+xnx{2nu#h8HuP&8K}ZuJ4`FFS9)0?Jr5( zjYQ#T`kP6+>gG~hdsfsNt%p9+>FhR1e^#VLR%-(iy?e|F!Ittk>CNuohQE7{eiD2VEcsiZFH2N? zF4p-HO=KH!MtGX<6BZO){4FzjWoGV9y6_cVsR7HQMeCC#US$`IjlVq9$nzkEA$0VHv>7?>1(Q z&k`tRy)Bkdm_U^A4*dsF+bz_wHa5e~LTLQ~@AgnMF{V{s;H=hd}_e zMvi4{T7R_O-iNo$$J+>qss)Qc4lG|h_FD@Ug$2G0jFvJ=KadS_&cfZ9pC&pB7sb|a zdYoH-X-G~8VXWB0>Z{I4keVnjLn#NHkSYq_54#gEzBgk52){V1xgO=43Yk-tUtnM| z%#UEJ7jRWlGw^C`wUGMJc+AjO81Y{XG=usp^Q}7kaa*JuPDOKvNH<_8w(99~K4b&0j z)P6O8_t!MoRzC9ZN8;9!y@TOmAPU4Rnz(>Qity9a>viB;AD7=huYG*QMU{`h+ys6O;y zfPCf-zZnwId!OiEI?F!mmvzlq$s1xy}i0SrBf3=g09ut{8SoVG}S$qly;dByBW zwElE1odbVM+EI02e+Ng(M(wly_wXC}{gkSNQmyRTQ5qkkxrLQ1GUu;vYWLqvC&EUc z2^Gmp{FmD^MRsQxwUG z?4J3@^=zYGjE?;A9nT;f8ET@~S*=7K`;LN{6kojr`uNT`^

mek?o7K9iOVjy10yJsI8p<4^QX29pn~dGo=qqlwJs9t zucMFb`1gwWjuixF{vUy+83wrGxjtIB3pSgW?jQspF0(6lMl0D4guCHX>8L&b_s$;Y z(S}9mNY2Fv<}+#`KY~~!hb49~N0^VtUaoYv8kbMl9`J_l#k?-Hz^+GJX@Qq%l}UTA zO&?%DtlF&MxF_5>0C8Im8)EgQ#9 z)mNbDtnh#EBD%$*efMU`qp~BRamcE@mfy2=-rh>?sHh<$-;+1TZ>p%P&)>`3!^kKH zruy^VLi^{Qa~`Ue7M67L16%70MV;%f4mENHh<-AdjQOa(y$_MhUME#GG!|U`MTUkR zRAHo`q%=sq7*A+xa$RWlxO?O7674ki`p8$$Cd0po!ZW~}f*SVU8!jZEC;>aXEB)a$ z;NbEXQu^J&3U#02KpG zv&pV30Xh%gQiZ-7RvJ7-&pOFxeC}mB92N%Zf1W&P$K%&CXOHC&^%m%~}sVqmV z^z>j#+0!a{Zy{CW27I)q6xi49Ewlc8emLIRBiZ2nSF^OKt$1$S+Gc*#fUO6iF3hcnR7pZvOi#X!MRR8_f^;m%x$>l}-a09{owdS?n! zixwn~mz{`WIn8UL?&)kBvG95q$a(S=3~4?-#K@8LQx6%rMt3C!}_cFhQ}D-$YD z$Bk!Heg}z(=^anf+2`@%Agx?G)!p&y3U~h1HtRBO?o=?3u=^OqaZD`Md2RpJy%fiG zh>FD?JnGl?>2cn*$H8w!g14U0pE#p>z^wn(>KlWDL3uUf26t0$RV%oQI;~_5XH4-` z{yLu$MrYB;a8X_n?UZu|?)GvHWZK+yvR z11Fv$Sjafcn9ZO!QnAK06oAqb@EMqmAY3X_KDUA{jcGu1&*&6qpG`(R!VY)fGbq|b zh#23ys=L%zx!v7Ehe043j@W|qd%HR7bNC)h;o6!GqqN_0k#EC|w#5byHt&3NCDP#q zdQj3@K3XdgNdA@!Jo!z%7+Bc^)ak5Mk3*Ch5sq2;Gl#tMug3Q8PU0j0g!x}=`}PH3 zeCC(z`og$#r#Hs(1295**8Cm@E_ql$n{Who0@A(O35%jLu1g}3z(rk+E;x9SosQVs z0(PJgc3VP0!v^6ZB?*3jVd&){iTZrQ)LFZkFy3?6y3F*I!O)NREKf8X9sfhqb%0~t zzU?O|qav%MBC;YOD@8IYQYfQPRwXl)24$5^A|tXIWM)(-8QHQ4Wo1)Bc3JVA_xpX{ z|9Fr8@gBVy&+m7S>pIspyLXF!N#4Fd#2ViIj(X+-r|P@6Z^dwD-|oq>)b{Z3pipM0 z&I2I_l#kDV4C0sYN;xbHgpxwBhfuI3`qs zV}*zXiClOFz&Niv)70H68rxyRUjxn(J|qR!r~WwquD$lxS_=BI>hEVEGVQ&2u)QFk zVNEZNq08SOnVU6O?^@L04-D+jwr79oZT3H9?e2u%<@Z7%5r*PT zbd{gtl&*8)5#U}RvZAg8wlWzSAdCqrjU02{lDGH4#AZ~c{; z2Y~iSY&&A4#4tr7Y2pU`kR9GO~0rM4SMLHMY+HKY5TQI$6# z7>w}4sNZUp?*W>_^cC45iY0E41X1oab^3RTJVdxg|%^NYToA4C`%jL0kVdy2N$$xUw zQ+QDjlJ;ZW`+dN6ECRDY!UBNhu0?4Af`02Tf1yS`Nrf=GHGCsC6QczYpv#JgS`xlW zMMZV43t=6m`_Ldqh%tVybccEdK)e1kR4Lo<$za=hczegi$9u?cprv&yHX;9j{;G?V z@|-2+k-F@2X|efDANGZBKojw8qg?#qU{56-WwDOFK&dVU8NEjR{Nt6^HkDiWT+6>? z@u=M^=ciqg|1qBz^=)$aq{;K}ZSGgDEdPMA6z;zzCX`^AShuOw5ZE}} zzF#Hgq0+6<8j1af-gl-&=6vNyT$d(y;zfKsT!`zEbds4-R5EZKeh3_(7pbV^Bb&bO zBp4`(CO}ep8G1Z%P$v($6gUC6D50#U>=F>D9CdB^Q)_T7_k3pOIEczEl;mc{Mc)G-|_QFqz%w766;Ul zTxmidt<%iS1GI?dcHU06D?ORGxWQ_cj^D=Hqb5#M)SI}XJfNcwJv4D=ExOo?-%!jH z18zdL!N&KUo8ET@ARfFIi-<(%Bj@sSe}|3q=Eq_Q0O#nYX%p%D$jB;%?31fZAGV*r zSat4T@2BK-Mq!%j@_BoEU%3yR`2e8ktK6Kbrsh_SftJayhIVfb+$~>roI8-+tZG#E z8xuw*pT^!iXo&-G0)&)@HfOHnBMt|tMMVD4{|SW->P70qeBOkcXZE%y^cB3Pp{AbC zIu)mPxVxUgZg{ttSP-Ynyy>U0F*1jDNT>$|lq$F!<`y}~fM3-}GxW$f+O_5DH~`K; zxa}Fdk#&1mjUvs#42><|~(OjR>+a9nKmUoFMs<*!X>}NWIXqWht!7 z0!eX-kW?_8Z&4sdhCt3!q&A&PG~XPXp^S^7!@~z;uBFmHDT~G3!B*TC zmcQ>`wtCrLdHG0t*qk9E;qO?3~l8A(%K5&p`(tbhQ^lRRipx`JdTabdJQ)PFi>Cv ztf**+*=GW7ix&oWmj4FJ+?0(!=rGrM7E(lCoXgu2m)nH=+jkVM#IJ~BjOzsr#i18O zqz!b6u#3Re@HCl+L$HcSEGCRX^gUsrp|mrhu_oCD`i2W{&kD%~&aSUo6PB?`fVCj= zpa-RWCeFU^2V}6pkcs~4n`DjE-}X!U_f$xUUjL=}vn4sis%LsgGOR(}u}*qTzd=c} z;2F^PjEGk-h)~XY5UEdJ=z`-})BEBL7O5K}(gl)FBdIeuP8Da+4Q+xTj%t(kR~LTG z5YZWIjGvfFGk0jG(LrCCG-`)oZl0I8hR@)-FGyh7vgH_7EdNUdo0*aEcNA)ENnH0- zo6-d)Z`bf8sV$gaxzda#9C=nJjGCi>Auu`eCd@{RL`Ym=SjvcgBxJp0rC7%uD`VLJ zLWLOXB-e@-*BlDITe7(!-s;D;gIYV}W-Mv((MrCui7YTb1NyM}Te#N=fNTk+i*c-L2P% z6EKZ8U=co>q=XnmPoC{Ca2#|;L5QVz_ut&N_Qfw4xUz_l3YcSE%p5y%?FCLf-S27X z1m-wKHfI$1G2dM0S*ZoAQ6GO7!_N9wC4D|P(yEt!c=rghL@|)De z_1)Y2Tdj0$D30RSatG1?tYzM@G8*}QRpwnE&<;c=xNsR@*_IX?$C=HTAsV11b35-sW>dlz zl)34*Zywk|-x+^b39&KAn^2xQUvvAJT#~r4V_4|D-?`p^)1B_V)w5>Vla#DGYReec zq>8xp2L}U+O|-^^!JhJk*YIt=X>fU1S2*w1=rPj2k9I|M_;sm;ac0ZNx`)3{okhRE z^7ymKTsdw3Qj~&*#r$DDn$=a@IwL7p_Ndm=%xgVys?trLzg34Bd;7Va1DgC83L}IJ zUI18ppe>%Zi%SL`OC4xY@(dEtt62UqcHOB(6!;$)H*9GB9^UdGvaai`2XreNXfCe$ z-cPh1{57y5_M38R`+IQnY)=$;{zbpIv|6SOF=K8)bf)K?W~|VB7b+b zF{~T+tR=wAkE;z_D`!0{8SNy~JLYGy8K>5-G#W)J1c-@s=FM!}DaaAKHsT{~+~1Ak zHRWwXrDn=keo-|d{|)1UnQ)&4eOU zR}EdMxkf!&j;Fr)Xd&t|RzoY-i@F{;&s3{xM7fB}qK}0Oc9$kG7d_Ev;K$$~t@V>9 zTmgRTMdjY2q$|H?bnZ-DEi>c7i=Iy#+{6E>&0r?N;z`X-uKOKoyzpdM3oGNIIu-FY0 zIiZRhVb{D%?~~NhzlALnJ~j#^x*>rX5B*QLOnT> zIB;WoA({QW!;_E@?cdXu+^Bl-ca#+RxhJAf5CWYo-)@)RCoztJJ3NOEbE2-IrhIiN z;`(*eE%7Rb`TBFY%okhVW$-S&B8!0jCOBvkw)_%psmO{nNaP^G=xQzKkH`QHEj3yE z#y9NkJ*QIF+t~(3LE)tQarqne$8Uwq(AC1)uLn1TdZ3@7nCL6omf z!$%qC3&Vqgb|nS=T4%RUX@6BoX*m6^o}TJBql|UoHLp@*`S7(HoIkx@2u^h>L}Juf z2cjsx?kb9-%7dZe)9U5@Pd#QK>P}lSwEUfkIUDrG;HV)4lB`_7&bdC>tN3iBrm_x+ znVv3{-;~ig*Tlc&+`6^$tJD!g+wByv_Xr|17K{aSwjFgIE~&O`>#f))l%lwjs@>qW z?--NW9Jo#a#jMY%m=S8BkW|9+AFi#z6S9*~K!s0vF6lpwQJ27ui$`wu1M7yPC&qZB znuzU+Ms7av!2>&&p5@>WNB3E?^(#={zQc%vg7kE+b|LTN!i+b6$ls?(p(q~P+^heI zmqTmQ^ui0geg~{zse#V%+xNYu&ZZec{=*xJ9&N*Dq|t}-`xM6=ffbi5K?-Juc#MxT zEpYf`@Q1cELbbH{aZn(7-1)TFeRj%}c}T@P?!9Y&2(hKn*}FZ?e|O@;-zwikOS`$Y zRJW}A^Y(yL>6PVIec8Ll=|*2LE1BG9xw;(lXh6s>$VWBb#^Mp}yr#cJ@y6Y;Vv=R0 zUI*IxO5_ecvYu>=R`U{4ighTfsGy>xcv73Fo_W~s?6{f3q#|iaZscr=4jo#|l*ZZB zFbDYV);Rp^L&lD7*uFthV*_P)f%C8Sb*(a^yiVT&$HAL|5I!+*%F&{Yf+*M&9%@qh zOyT*O0ue{A%@T`w^ki9~u!gzRPjkkNjn2jOKLh?D`NNyi3T9TR;HMp%E4WlmKlxhU zU^q*NL#|FFEn9B>&x{m5@g{}uSn@SEOU2F%liC3V*6 z+NXXzf@m^kpbd#1fu#4Ey&`)N_~$ z?hEXPbRlC~21Hqi(WQnB?G4l$8@UeeKzmG?#OODIt+0!md6+C&qpLNN;kj$_uAO}i zQo9A(F7JS7OtVw+ZnePsclO9Cb3*CBE^QNGwpI?h#QSP`-P3Da+ba5O#gIb!HPLp5 zV^8#f>pY#*Q~y3enuRpE&3WO!kXFDIDF25Ydvo1A_58F0$yeiZ_6ehSBnAYc#OQ`p zbQ2mcgz}Z)4_I>~_@H$@H)R7e+SnqRb<=M|Dhc_a$8{;xgvgF0dZNkBEw&gva`xU) zbkLBgF~v@e6KUq`_h}QXK{EXa4YKDCocm`&fgc&0ebzkUu_^W0ynmW z;F2LHo(k{lSIfmCu-m%hMZ8%;CD)HCiz=jT{Pyns`QY zi%)V4KT@|wP~mlu&F?jw3B+aFCf{?+X=R82b)<{GopCE72SPk23~Ho=<~Rdgpm#5( zMAdnLG#&s{=9f#M;AAgb{DMx>oi#? zjdCiEP{}?H2`Q~;$BWci(nD9~u{51Nf|5sRW%)%_{WAs8uGA(6Jgbj0{kQY31Ef3E z>2~W^iz1X5zh_%^{ng*RWs4U8&o}p6_Mz;m0PN0YA9Bh1!Xp5XZ%4t5(oW3(BeZFz z{SOTczQRBGIQeibDZ?vaULWmC-ctK?$YLK^O|!g)gUja}@yJ+n;vCnT!>rHhe9~54 z=bdlW1Y7*w{ZV!2FjyRYXoPbyzPliM8D_n#>7AAI5Cnw-kG8~7T08Fx>H2e(T>8XZNKTl5sqmlZ!tML3qQ(yWzn~_YuyTcl<%}C zF-4zK6)^RV8dBWEyy>5+ndIJtx1HZxOP=!v+FBJTDX#7bvgkl|#U3Yqi((5&k_3et z23D#EZYPc+xihl;6^WnJan8ow&4biHbnR<;UuahI%xlHUfxl&*UQ{!B@+7r< zucpRt7!>HM7#o5U)wEu+`yP%J!^kT> zFsQ^X5{F_O71sx$-Tn>k9P+Gp~9{P+Q` zW@n@=&qOM2Zq|+g92)c$jnE-PFgawO;%;yVv)c@@Ltx{ z)xxtnMGWJluYt59Q_Si0 z%T=@96wKZX9l!yn0dYi@;EfiUy~%XM0ve{>ut6EtDRI=t54X!`h#P;dR5UYtX%-vw zb-jr1cQQ~G@UYE3O;uGb+fH!xdw307qnChbl1UNA92^cHASnOU}(i|bHKZ^?Y??u@qBD>gz)2Y|G6?-lE96#_@%jZ<+eU8b8j#7&8Kw2$B9%DPAvcWa>6*y;fBs1vGb8#XPpY-?Mf3&=f2umAzk0m{L+vVYmQI)bkUcac#=2%nuOiru`l6J+Wae{c4C~U};II zUZ#dCcIp`%y$twNNguRtJHI1Z8bs%p^k*Ckogwju*O*1buOKfFkxD$OIj+zJ zq&PnnV5eLk5Eaode1G+_f4GyxO#n|D4z=)2R`G1GbJ zHigr7L+)@TiIk3z0gY?w3`VGsEP_nr4i3`JECbl^%tC&)WKHomQ&Us!vD=5RL2IUm zH#zN8wdnfr#_D`(tB}nHKE?vK4}Yv|g9rIfw$#4C&nxE;BzCokJ!^9l{EJPBaLBNo zNg4U5cn zFU=s$Bo3vXl|M3nPFgiU?{`YH%4*gpx?an0x8rbB*G4a=fY1hgtJR^JlD{GtqT9Hi z5*o#neZ8_YO5g^?&z-dw{z`giwU5BA1Xsh$2+?F?|9=n~ls~Dcv^q{u?683+!?2)u-+l&*j3{w+*uxxh0 zkp{K_9s;PhnFbbzT;01&B6x1+g&QB(GLxir>1v(KUadoq6Z&=#q(lKZM8Cr^QV$cc+ z`m&!+dy9l3CWnx-$GrF3mSj$z&2GAbFaAOhaD=z|c*D>8OzW3h8)>(&zuELu&~pPn zyAB`Ut5SC_U1#;xuyyO*1#CfepflOEd$+RGWbo|WYgnd8LnI%FkUx-+v`aWnN{QCI z2s?gw$AN1Ugp0G&i}0#m0*3GJIKbj_wO^>f)Y`=@48QJhXg%)76?wBUWswY zvwMH&(Z(OoJn{MSv3T)JN}xJ^<1l3g2Wb%9+5a#d*h$cII-RYZ`zP9;KD)mAkrCc7 zTGoN)eF@DYWrzS-R}vjAC?tG--&Sn}L~R-AD)6$U1Kc42`|QsF&FKE~3O{fr#35*a zaMaSwBu7%WVwa|g<3&MAtgq@p@lycyb!PtE-{StoDw}>{HneH$Y-pgsZ$8~~#zQlg zuXwM9caEFamc0$l;ISF_yp(VWLmP&w|BpH~YwpUsV~4mc4maUh)>7|e<8%;F4koN=7 zwk9i+%xCQi=C+*V4{7uQ1!(pS3WL*P!TIe$!4emJe8l%Us~wrTwM((4{s)w(>+-^u zk6ri@J0-Pc?nvSK>M5Wg|4mzWe2w#&;)VmKS>Qzl7c)M+;;Dcu6^DpqifD!QfqTHSJT7 zM8jYLh0@SQOHZ$a^c&E?tmAcDyy`i-_>#m6T3Wi*A$6)X9og)0{AgR(U~?~HaEx@s z|7!vGk^lDkrv$DaCA8rMCtPY?n5QnH+vDru! zdmSkStb;>CbTpeFQy@esk^l1D8=Mp5I<(wT#O0#q(0iYzZ5}Kq!7~>BPGnT~u2X3~ zi-dMR*;T|euvst{27callt}#%U7}@fdA^!2W{4)WZVj zLsGy_W9WE`vAZPKHi$j8Xz&+2vV|UPTGr9_Q~V45LbOVvEnX~FZQ@Q+m&8~1hD~o{ z(mC90-o2S~kSPoM7DHejS@l}pl84Lu+evlKWvMm2!Uf=rcz~)wq;PpZoj{s5bQ6CT zxm?Gt^yJ#pK-B#({hRQRpydO{iYqeU!bhy@>kY!Nvd{NP;IqlX^Z05(|_*Wlw$tz zGnv5&Mpq1F7x6EamzNVbrrF#Oo~EARt*agfe@AXI>K^Vw=WrS*BK*(n=)A`~z)REO zU*>^BYo+RmC_3Lm*3RLl>+crX?Z9}Dq+}sFpW6F`d-Mn|(+P3EqO$K?X3^*a06;WLAp_rYgsqMpxakz3U^nldL%uCQLpPkZVWN^c!6VNZvC}Z8yCqE<9%CJUOukCrvg1oI7jN={$AL--?jAHNp$$oD*mI0V23^u8J{YX!yGhc=4R<;M&XLtTr#<&lfj}K<)7|uNlw&al=bi9yb^VG~G{8utcKC1g^Phz8sfy|vc8GYdNPeX&08G~8x z=-gb_RTp9|CprY+garqMLNhiQIP1Pmgv*LCyv7r4MjsI*{^}^wmfXG~&j=plo)4 zIK?>HksbactdB=rCtsE(M%JDmYtPg1EuJG7W|ral7=OUQ$>~>aum})v2T^~c;&%MU z4#p30w=ai{UG701_yb0IPB6kH+|kjdwvrqOx8~b%(TqayrkR zCWsF<6iS)rBD}{kIe^ecg+mJVQr+r%c=9p%-XBWx`LXDp!$w`vh!P<(o>lount8oy z$+Is7i>Iejt5+|gQkw^@9C4upeHd-+DZ8J5bofh~jDKFwSkh(HQqc9@}KQJ`Rhx`{u6pLr78w+W&YY}|>{=)V4KNTQ%_!&DU}P}U^w97JUx zgnV(pCU6IOG+B56y~7dlrMY=3&~TaT zJ+~S)>K>zGe!OG*c7G(1qf}grnv=x2q9VxbgN2v0dH8Og0bVkl2he#wj2IGl1+W?E zA+#IWa%Z?j;sy$N`?9Ck_(*#}jP!EnP?Qf0AiFT!8P#*kWleu$w-$|bm}ARmPZ?Ef z1UL#i_Yg7ON&ePT|G)xeLTjI8(WE350O0n1W2m}YjplTnxdb{X&_rS&-uq&31Vu#HXde>6 znEl>xzad81_?6PYWOOFv;6s+t+XTI}6m#VhrvmgJ4ECBKTK8iM8!*R)FT$u}VaRiK z*(>=!>sbTnzMf+BC>LSBf+EA!2*wSMkfRF=X)G{N1G=SMkw-=GzsUZ2!*XW{TQuuF8#XKVCQKK0TWuef9l+b@B;5=mk&{reib(;l^Xx2TBOa$d45ztqT$dRS^=9Yw z!ELE*eUf1l;c}<=TVFhpe%$rLizh^x) zwVThmdy~#80o_w<N-K+x`=U-o9fD!Y+ zRcMC({lR9E*&uHDg}3;J*QbY<<;}IhR$NE47Pit_c>Bmvfm$gcbLbOJY=jO`G0II+ z;7#@eV|Y6WV5fG*>h$r0So+nNGk_LOl?=4lnNgwQuguSpjXd=_&l4%90I$W9jCxG@AT@0g|Z#JRrgRymx7FwC9tpII2ne zK~5h~I3QW1>ldyMo{AXP{CwmN6RH-HXa;L1Wqu<}hJe(L?+Z^YnI;hJyIIutBN8hR zz9vM9LN>T?3J75Ow3;c1_DD+zMKc|Yo#(&`)gA-LY=4sA+ptxi|KoVX`nVaYa1kdvP(V^N9) z{;fMat$T@xlk7<`T1E>O2|#x|JO}NEH{LUc zVewxBq*JjNBeA8Wd-dG|*wN5D(lan5!1(sP2jOVW9|y?q967UILG;9}SMQBpO@jH_ z%=AXK+w4svCNvzwbK9$7V$%ER^`kXf2uk$vv4B;5Z{Xc(P{l_;o0$CtO%;b$_sJec zz@v#k0^cs-P->NK2N9fG4KM#itIiw|(ApzcYe>Q4*tnDdz0HMzD^UNAbs$lx+q!8z zQ5{aT7KYHcF8(IcJ-iYkv(-d3TV7EST-vwGyHpViF~!-}#{z40YyoAOPG=^H3%|E# zF{V&e0<=IABWVrt_DV;cO2Qz+l#cgi_pX> zMsu)shhMJ8vb{V4(QJCHV+hr!^iP=FlXAV*{M|KMgw}$C@N+?WZ4x3xX8~uB_|YUt z&yf+Ia7YxdpA8Cs&AFIzvlkG=gy-c?@8asjABk!oM5x$n&g0P0aU5@$UmrTEZ*IQu- zfT`WbeXqm)k~jyRMce4g7q0kMuim^t&Q3C#=@w+{n2Ov3$t^tQYDLCiu6a(!!rvIo zr`{Gjin8_A2n06vznVy#RIl808Ij%xih1o{su|-s-EJi z?FqQi5bT#zvQPtldtKN9fc%BaQ58|{Qt|??u$;HV=gz;KznJKwApg~RdnFgDe8m?B zV=$c#f?qM;ub3EyC%Xh8 z?!vXq4S{1&@Lg~@#HawZvl%8tk%3$QD)*@cBR@*K^F#L}_T<}9h+0T3iy9TpArVQD zC)kzm$f6S8aYf_V;Q*XYJPHcN??i-4#+Z5^-_+Z#fWJ)iNXUgD(?Mx9lvIzV7^{!J zhUR;3VaJ^tKXp4h3Y`yuc}e_fh>{2bfg*%MnV`dD5wYqWKdUg;q77P>eiKX8V?)%K z=e9YB&>y+5+daHD4VwXKX`i;XbGjc@_ut_wzWQF+#v=CMtrLA&YTzQzZywHuvikXl z5A3A#B0M$1qcNqncrX_thjd3v^WzISZ=IBdE(OCzUoL9YtO)nq4%U{; ztrqVc8Nhccf=}85q9!8!iDXE3K&@!g^??bWSZ`4A*C$Xu%@{STI;@By5I}VprGepHi$N!aLn{1IS8+k`VNKFig!&&VTZI12v?exgq!=;gB*TV_j$$o-&f0amV z_Qj@ufgZp}SGEA330&a!#0e^w-`qUK(Ul4-Q;h$umwOA*g5}@h9Qm3KB7|AbA{Iz0 znOg+>rxHTZf)gFnRz;9-0175A3lxwCHgve!zY7gJUT@96WWL+|aL3fu=iDWx^R5G% zt?nsTov-*abEooBdF-ssfiCK(Iz8?z3@D)^k}*8a=V*$FI0yWZ7fO7R??^%~!L^Fr z`(xu-I_T#SpZ(UReLopd1T1O3vuDK%rN|3_Ye|?^h^6R(uuUq6+N2=4x(_Gw04A}O z0Iql(6r`0PTetP&&5;KfZ2^7BT0B}Z=#iKM9%8&3{B)HenumRHw~-t%P5C)iFa(fO z6jK^&Hnk+eV8qWi`7 zj03Ix;P#xMUBRo!ikCz-L>EP1 z2*e`8U;gXn!RyF5g(E3lDgMr@{gZMjcz4`2t=kPj#gS3?I|-Cd=RKmBa~@r;g+3VaH8 z<`m%Rj@g?OLu;Y9@3f5l@W~53Y;0^zxJ`cEr{UZcRd)Llg|4mp{BbXo+hdq`wth|qDD9wp%y8e_fO_vj}j;()oc?XPM{;uFK zjz-?C5r}cy7I5sDfVK*6bUH4Iq(7(BKI+>=GIQP=6F+KLHJXr_*?2|PanA?L|2fz6 zsC)W7RDgZ17;^I*KyJwQRSer1`-te0lrutBUm76XRpC7`=>kgvapmJw8qvyUs+mf){{ag_(a3Ufxo@mhCTIW(1=8K{dqn$v?xe*V~ryrZ)N>|~m zV#v+vfxWzTI0B8S79$C_xfx`Y=h&OO+#V5B7677Ew#9s~vhg)0wD$_2$2l|vrlMP!i zEc##k#8!}wrWg5l`oUTa+JUz*7T zt1Syj9Q|s6TdzVVt_4fPlA8=*DgYgz)fiK$Cy3LgLG-h^gzk|3^PmbqK zduKj4FXjB=W-~T-`QBTKOUGjc;uqz`et*#65$oHoEFX-e&V2<^-M+JsZQHcFjYZ#n)-*Q+^+klg|;*i4a_yt9OM|so=p0d6e zt9kS(=9EdTZdiV!H^c8*%>hNRr}9xd2nFwsAHwpTMT2ii=uYofw~*ceN#iBTPi^IJ z*FEksOpmFPny*2KY3As%SlC8?`S)+G0oi!5?Q+)rh-?)+bjVN&V%wS@ZG1dd%?X>< zaCUs#uB>}7`aE1&X8-=eG+C_-NBl((4C*RZLk`TNch)FiVI zz0zN&!K8saqpZoEie3=0qG3;-EXuL#7|uBUygbP~A`zHNLZ|BLF8?)fV&G{o3X+N1 z#V8#W08MGebG58q|6+BOo4rMAGDb$b7xzZ zQAwGe3a3Harf@y{l;pDS>Pc8~i@D1IgEnGtbw=zx$IVQzbO@Md?U+mo5TD5PW^kON zb;MAVlTp%j6Hdr@Kc>yrI)3}&;OECD!|vcirNr9LnZbBFb{CUI9thmy+!wBXO{{NI z@a~;Oaer#=t^f7_l@x}Aia11{RX*Ah@P2vf8(I?BIm8R#aG(?=N)*6HT4EtdjGiZ* zbQiw6=EZx1n!2MkoC`1xEu+F zhq_f9myTljIN){jZ%+5dU~ngu{k^{+QQufYnH1MVi=rQ;FquP*^K8yaZw&=tix&=U zvF4q@rOeRX0goM?l0hu7{llsnM=US7)#aI5UbpzK$$Isq&9 zH`)a)CUlZValy0w%AB^tF_j4gRO=!ULJ$SS@{p*jA`lUeMI!GfYC|Z77;!~kY8c{7 zSVPNiiHMFGNd<`W;Pc(HLw-%HY?oE`OK5IR?#x2-1vw9y2dm_H0FRSgAb&{)P4xYCh0u4ejZ5ap3lPk+tJ zVap5C%ZL%sf{2^QAWhBtp*uNwp?>H_AAWO4^BA=X?%sNqz@2qc{vn4HJy6e~IaJUj zW*#2Z05Fh3{WJXD_}$r%0DQ76h+A0;Jq`}b%}gK|2yA?u)3MB&lP@WaPp+j_LX}is zsIzR}_S^iw7Qh>=iv-)9ccx42#~StM#DU>BSRPRaI@2ENBGTgd~C;3NBrVBP2Xc zc)DU@U6p1tKZG4Df9ilnR$?(V0o*lZ0OJMqo4DTVbKD0mokwD&8N&(-=gbWR)K{Pr zCv22XhS5#{EdawSKm=Sz8Yw#Fk0mQI(8QXTh=H8Le?{WgPb8<2{Yu}Pq4E<^8m9T~l?w?4@s*ewbW(<{eCe|ygPR-9}+vi6v|)otIR)ueD9+rea+qlRS(7u?38fw~#=xWwvZ?ntwVqpa{d zvQY3E1+tD`zy7Akf+X2$9#gt>iI*6bGOpwH+wCwuG|ub{R~MPd_H6`|l6zH`|M6ED z_-v*vm4*2Dj;g*x>q|8?^)oK;t+mv>hoC$ze*+?LIg$(O&((3BmnI56%y-$&yjf+-JhfIgwV0d&SQF)=ag^Ocfqd}TRSjnD7j z)MQOZ-Yr*seSN+Yuq|c<{#|xKf<5bkay>sS{XS$lwS>cofE6DcXZRUiQG?+_Vc>l5(JLYNof<#i=elrI^?KQkIO3u=YxaFT4`(>K+ zjJ0_XBR%5+kHZV#Sd`Z@!`RkSlYPojPPySiX)IWQGt*NGY!>&!%y^$PrAU*3d-u$%}Lybna(dfIn%ZZW(% zEo%GEImfNzk%}K4@Q#&VSbliuKmhfnT~{7m6cJ-E5>e#Llg>YXd9z#hs0R0M%a1}v zSC3HV7l>@RG9eK6@wj;CjqIxqKfZBMtCup}r|};Uv~xC6R7simZhV1XuOWx^IAt=o ziK%-mJOEYA%mA*pj(;>}+)$zvBISW+Lg^Rz0p+!LSY#&Z}G_dPW zJlXqnU``C@|GwPMsKM;#-pZ-p`M+qds$ z&nJc36Wy3Bu#q6*IFvC`MbMZ94xiY>Z|HTREZ^KJOp`j`j?ohpfn0&8DvB=c=SD>b zkXr>?dBIB=0HQ;z&5Y`XgE0(93oR3P=JWvl`)-s#4bK!R0ieDCR0^E{Pvtab*${aU z@oeH0E_YtPnF(P&7Ju7UkG91Q-6+Clh%djN)bu<*oNKURL3fSOK2#kvXV0D`h6Gm! zpl&|knuqrkz)v~l`46~O?(M`a37XFytuFsiU`T{b{^HM@2ghJ0z@UjY+y6pJ+#4C_ z=!wY*=pFtqAP1OUd&}^RTer$FFj41`dKSTT;rhJs!*LRO9;eOo1^eEyv4^ll;A-3i0V&@g+qyG|g*|OqzlS@=H!trH0AY9R zJ~jKbCKrB&3!l}H*kow${_GhSa_~hhPZ;MrFhOoVK&(Gu(fNX;;)T9xn`Uf&<5$zm zz`u(TOOor>wFT30(FMM;ewnaw>CNF=zgUs#5C9ciYS!wFNUlxmOVtKUy!8){!hg;(`3tjZ$R(&HQihdcoSc z(EX?@P>C31QFa|lAnD?~suvAh($mw0Xh^(Lc&sxl6y!}i+`Ze8wJRA@mxz8V<`tFf z-!!;KxP^r1-C9k*f_@>#8WeaKV(^*URy#(6Owv(1SMhZ-h%xdmNE*S7KM^ctj$E0K z_+DxClI*&$I4M{iaXYFj(4yWTloxJ*>li?Wl@}ZMm7mRo?Ku!W-HtYGL^M2j|6*Rg zx=K;B6i7dBu`*CdNId{liXq&@MReCL3P8pq_|qLLe=-9w;{1I-iks!dPb+hxr;4v= zG>+UPMXVSsQKZWv1P?~2d7!>FLpOHr?ImAjrJYT(WNd;~iq4+s!_FM|mGEfuQVPls z!b09(G6eS06t(a2@wU@GPu7lIF^Hz2q+T;z*oPD+B4~IY!NhGfK@84#UnKQgXNczY z47Fj17|AOF-W<7Q`y&$&?Lq>#kmQkNxd~5Cz3wmNb^R%AECIEJKMaBa-etIT}*dZ^5~vr^|NdCWs34{E~YLu7-*=e*+9|Ch+s4l zW^xOddf#NVaN1^M`=edYN*I0=2ifxHzmwmRs?l@*ebYL7Wvh#|N3FS1FcP)y)*THc zMlZZM6#nbMroB(CtBkHhRnnX;p)N8w{3#iu-{EdJ3O8B&n~ZfiE6E1gDawv*ER8~^ z<5ihr6EZSH5k!JKgoo&B>u!I#)<=cH7xuBoaYbF2MR6#Yb>`ydv>CakzNFpt@!QDU zZW$rlfF>$dO3){fN3=N`CXFBF-#8?gTR8T;MpLlJI1o4eiRGuV>oDPfghBHw{;L^G zSlI1w`-XpbU4ZhXp-6ooGJfyQ2vY;fK%*dQXXG+!4sA?yR+rH=kJ+6;vS$zmq@kjM zi$A>Irz?u5Qoz6Am;T8zjLIAhgn#pLHDV>U=hY7`joR`z}O& z8-oAY=8wqb#S>R6q8)rgqd(**!CHrHq4{nHB54MuLU-izWPHJH_En8tEze<#QF<$e zut+jiN%qj8LxVvC+5gh@95G%upMx%r`ip^!+y#aR-vQdsQ|W~8++?$IKZe#<&~;kn z`#2{8&C!8M&il(3`lhBPhDv#-`ONPtr=k9>+GAl1srwy-eg_q5K58 zoCS-m%f5qK$)L5UvrzizJYuhYB9dw~fh{m>8BntLR)j`Jc3s7c;EkU!7)FPmdhHLW zqT^l{y^8r;2@A1Ek%=@8{ZVa_k-@g-j7o@mxDRik#gV#0wi(~c>;(h_T6gqMOl0)G zNyWk`^WQuC?cEj4?hK+(x#Df-b}PT5Kcpc!;D%q^;CS60_yx2PCAafYMmdu+pt|$2 z`&dRFUAGkaaUVxtt3A|v(lIM<{@%WIi_gDY3CDJyv;MX_IPoKU%pV_@dp~{;&5Z6{ zv~$t}nwXILZsVgPJ4O+b6dkoBalu3Rd~VIHQ^`yxrX?XzumGSeiEe~IYIhE^yYXac zeQPvj=w{Abyl0X>#?$uEM6cC=we!Qy>_6GV6IXA(JQ|a7`q%OC9m8GnQYlQHVQ&sb z&F=r$IQ%i-r_#V5owh39^T+|aQ53_{_WmvIkegt0PPw!LOMQ$mCzKICetwqvWKv&Y zbZ=ZLZ#fU5;eLiKwo`V6C&jvdZK4pT}KEP!3HZAZ)9C1@Y~gDThX>JoRaJt&n&1&96R=jL0cXx9ekp8TNd-+?$ooQY^#}Re@w33zWt;l z4p&RpNolz5ySuwTxULpvHLs!qHVTLMDRM%M!Ghg4U*$xkU)L^a=`Hv(IE?WR84~oV zviqpokjeh14oizmOQ~7@VGh%Sz6t#80RQ=ZxuKdpnKG&)X0g z(g-MLuR+%5tGR20-(SLvIv2!p5j0DP#efObnRdX|)9*&H=MG@CJaVMc+q79)p&p|L zNdZPCf;7H!3%hay#-8Z+CoGw?)6dHS!J$DcDYL*}jT=e_Qh=gpBN7169fvx!a^>J1l#(_DmR>4jI$_vU=sm>>J0){_Mw2fM0 z57E-mot~4T1bb5VeyDo$b}xU3nv}Pk!{m|0*k5yZNj(K}<4bLza~!S&oHV50RNK*! ztB9FaEB_{32cX4Dkv6rKdAuQ5Q7!Dny2mL+m6bHHv9YMg1@&ID8#&MELjCfr=Z?L7 zDOND=VrKO77N>QuXSz}T+GkmqZSM58+=(x{`uW90Gn9V>OhbkE5RB{V3wc|Rn03%) zXwzw{+`Zu5 z0^K@6HxbscFYU*Se(?(n3!mlKWkBYKgJ9-$T)Au@M_6VO#anp+;6~^w=&tz!D1Wg1 z<(ph_VMz~&*Gb_V3iEpBgO@WoyQ6h-OTh)<|DowRz_IMx_k%=AA)}&1lu=P+rIaWM zAuGF-%!CGImF$q69g&?aWD8L;vddmcva+)N=l%YV?>oNZ>;39|z0Y&szj0mXx=J5; zA9#lqq9`K+XlksJC~5tDFTQEaIpegZrCwf8lD3%Mudn-+499 zwf5k+`LLd)m3{LsDD7snLCg8T9S!6kp_5;WL5GH60oNQHN=AB}KoJCr+<+|_LQBX+ z?Dw(9FTTY|4m7+4;-2MvGK#Iqc|6W*vzH{`_*RD@c{JQHO?sn(6sj8|HQ<8yF<6&04t4&H4x5XIK zcE^sL@ShQL4!{DnzAzd@?uTl~)wZY>8i{B>|MPD{Qrd!znJI?YPN4iy*9MCe4`yEl z8yHek&`iNmQ3^l=-tHALMy_OVs)KlA2s+enM<1a^RkJs3yyWMOukjLENems3K(w{- z6VpbwA>Bamj=y#Zoc7$8g<|x-hlTVi3+)qG_Yk9mSVCu$ZVNZa#^?Vre3pVvQ2mJy z^M15OZ%{YOTRK3l4DH#z_agtlHW!rptn4PEAPb|^r%UNRR5GWe9x1}?7?wj6I~++LB>F}s8J zmB4?385}fZ;%42)+hhaNzIvf$b3_Wf$f@%H$cPlUEiQd6>P;tlt&8_`F;LAAMp!GZ_KzQf97k-t8Pk=wS6!)HPfw( zl-ypL#Wi!!=B=~lj<@r^J+t@wc=TdO&45uu#~-T?;i%GOEx>@sHrzzeCmeEn{(L5< z1cLOU)}4*Jh^;aH8GQyE~v=;vLX{2qVlH`_mc~ zp)+#HRny|gu?!nx6^=A@uRgNbLbP#~C0JrM)O|6-wrSUP3n+Ej#*M+a8D#wv?A2~Arq+#Q>NF z*)1;6wSA_vf%``{i$hf!P|UOb&VBwwncW#8rQSe$1XB%7hvhKZI#8j#hHn4<#$kxG z8;nm2f~`3lDj(`_gZcOLv_Ru^s5aw+KA9Un+imUlO5#Ck?} zWp26OdGn0a;@`g`RpJ@GO*o4u)-aDEB9iJTN|0iZLkL$;K_9{{ifnPsnuUdh(Iums zH*J1P#oNDMrd4)YLJPNiM#a7gvU3<^k{wp&ihjMvJ3Pcm3??z1zsz{g%va!qL85YK z%PUXN1WAlZAc>H1n(Cdj=GPUWY0+reuvla}zSF<@xf&56=)jWg?_g(qkR7xtY@K7O?3VaJ83-({K)k$u4DnBX?%pE zQ0=Y4Uh;F(8tDy`xx~)Bf}Pv2Zy_budGFlGVv~-zAf>AhBuhiRyWb|>WvHA;QSB22$tRv0ZeU3>oJ2^oRB=6?Jgz~uVK~x%Jb^^XQz1qEC78vf zK}7*C^bu)@2h*@zfNP+7+PVzk1Ce;=L~I*As;%*^rxG7MrU&}7))iWPG@y#(h!A5- zdOLlt3G#F8Gnmd;PzbQKdro+Lt(QrX*WNj?N9Ks=%|5?Z>!G~YF4~ANv#}iwXY`q_ zSFo#*5CAafH_a>Il>!s0-))Bda)K}2$E{lu`k2vO)~=?taX}g$ozrzD*Dyj*P4<#K@;K4?l|kmO`ZFBkR}3?y%~GE?dLLmZWe0Ei}gK;dPQ(F9iuCL0LBcxRU#nAH&_!qQt8-6QB}w1-3lvqy9D z0u-NV6z!L@7g~eRZ;zlM2?{ta`v|I$hlX~4f6|MF{6?{bK>3-UEr(DGlW-GVM5Zx{ z=N2gL2z6J)Xgw{F@Rf3M&&P+vh)IN~zf8)rjo=S4F1g(hoPC*$(}|rlS-4v|#N z8Qd$64b0gW)3H^?EerObzS*$N(*k< zgn9HdF{dSr=*kb_oCIe{GF&g@D~RHu`?<-xk0AQ&4J?iT(y0&UFcxMzfP|2kcNQ-_fSNVb6pG%(@-h%3nK>SmUUSz2Dhp78FgroSaC~@MsGf$e@8Ed8}2%)#HRYY z_Ve?-C+xNWl&C-P))UG6eND{$|7b1OU8jh*g;+TIK6?Iha309!g*D0|-Xw}P> zhqjY6j+ld84;!O7hIUNR=2HhMKi$#mE~<5n=Ks?IZ0-kaM(|yBFotkPRFba=sZ>bC4GfGre8yWw*umD1kjQ;Wgaa0Q2nX@h-&gi_XTk~|rvCwVf!u)>TUX*At*^h# zkc?;|BJgT-91;~0{UA=7nq-wX39(VgtEuYl7Oz|S0h5;0anwf`ZtxUpk@;fcy1+_& zhE@+c23se2m1Ydi77HQeg7hn~MAu4u>RyBg7X8ib1O?)h-Z_~VdoTMPgiiy9427KMf z!l5}$k@iXh}evabGkeV-BM z8DHhz$s|%U&Rx0y;c*@g8jp{Q#GGyX^yMPpB%n&kT$)VL@`e7()(V9$4hqQ%M1aaJBNF&BRg;^Dip1%t z-xThkH&}Wzb8|x_Uoq7surLB!y3!vN=Tn4m$dy$4J+mI2yf3l5vT{D@TV+iRC9uSh zemX7VCz?KTeONc7A6sqZ8Xu ziAuq;M!YT&|b1MN#LA!bp2vqskE!R0Q{-%PZBR)%+QG%=^b_4t>F?kA+e`3hI zcfkQZvkK`)3ZG?*X%BcULC8Db(RZa^7rOj1BT+pJ7OeF)?|rEl9C%(?`6Z*2h=_(w zUn}n8%WuGpm=Rj0ww**sD)7HkZWo9r1a6f(gDYd{meeA*eDFCm1ovQqpD3%jNx03j z;ol{!)a4h@I2X|=Ua3Bxl6aJ+5QfqjI1=PX?}Ap^wBNOD+n_YfZG#pYa`f{%aD^2X z7S2ds7k?nJUsq4>hDc=MoM+ELX!Mk+l;D_ks)3Kc5L_oA-~ z6js09uTnrk@$KxEbTGSQO;O^mL@0H8C)og6vL6Ar09X*ZFI;U1Mx+Lj30pcvp~wU} z%@qRp=g}__J8;&4x*}Dbk46gJDM8J@LHF|ImCJeKF^4r z09chnzoN}g3GYA+$xW+A`eDlUp-DIlKxfeyE34?xG6(C=FEMv_|`q`{$q-oING{6;J%5^RlqXrNm=K>`~nutVxMXjHz zkMxZEI1-p&f&H#N+fBq{S3@IR7|LdQ4@*gW$39_dmj@ek zf7eK;Rj8lulS_Pld>;koSiHigHmt1(u} zpoh!I(0m)Wh4>dHx1O8*6Sz=}9jtXBc#1YKz&LbchbQ}DLhQRC%910IVSN_Y} zS>Wd0^wMq0(^Wq+jLn&EaAf2o<-l>l0fo8UC60q!XLqGgXi`P>nckSJ{_yJYDdxvN z4Og7A3y>h9XYTRCETp)oXb`Wi3%~#1OV^@@mUbrfo^(Cgo3kV3%?An!ty%FT$K}DufcNXjOq35{T z{g;$3Q0AECo&_stFWGX#_tU&qvNA^xN*E?kcK8pnbA3G1cOLxc0N9@EfIw~0=O~dA zF=EU+wz@V1Tyv_z<-hVI`?2cWow36vv*)|Fqqq$I=RUWAExLSSc=pSeFA3-Z782Xf z-=!FiYqR-8U?=*q@wP7jwb9X=N_5?H2$Kh399p-6AO>|)FGIElsHTW9zDSF+e%E(7 z>6;4Hv?(6qec*N=XO9=5sCw7`1J0Be@S z5BbZNo0I@1> zdw7Oj(F3KV`z{R!=Z=ma#>E|wmd1|}H?5e%G6A4ZMh39Q8{MRuLYa`M&}$$XwWo&V zW)>FO(|2>m!&4&f*wP{l`PHv`eW>2YhI61kADNnpPAmCX_Nj~l2L=ZxzrZYXT^4=| zsGq+(Ji7Gyeok$c<#!SCb2S6f+waq=OBUrmpjVT-qxXmy-wP?!Z=0D#cx=Xnq*+qs zt%~09wm%Qq^$^Mj@z6+d>H~4kZfg(jZgELvTzow>sK}+%8&%bPaVpu_<-z_pu6|o5 z(*mW^C%|R%7(7V(i2FPRXk~=uCh7uJUELp78U;kr#SB{#(&h4WHW?X|<*(5w%wp*NvdFGkz!50st;n;D{&Z#x}MRN}h9M8wZb=4^^#Z+Le(uS$XJY zdM@6b979{!8ZWc0#mgH?11z?{u&^*Lhwm6NLr;IkeojW)0psrGhvB8XJn;vPgsW0I zB$Jte%D{UfASqDzg{BEZhISrT@2A{zdEgr&lmsp8lisrcfPk3284Vl19*bK_ypfQG z@$C5AZ4apCtr|&THpSKK%K#7dt~Ci02*Ch0N_bSpVF|ii}|8Ac^?p&lvW0gjkSvxFU}c(L`R>H zKtT0i&1@Eq!+suzH$D2{EZ}n`{2AAyM@wwOCkHH7z zK^wx)j<9**w`{zdsC9p$YudT34GdwfB-8gB_LcE7Z*_&l;H?&u78;rq=I^R&sV2 zcrpQ0B8#usZkBW9-@mbcy=X>>NhAQ)_M0AO5Z(MZ^SfK<@!E3s*xSH8udWr8RE4^P zc`m=zrS`rS{LYK(WyY>a_lWoJA6y{l91*tdLP7}Y| zM7dE=!8RPyTJ%lR{cT=z^Gm)-$&7Wiq&IzupT9LNM07L#jxlWuHC9VGf1Bod`4zVT z8LP>(7WoU;er04TxEMV%zH|b$D0#ZA7GOW(Q|39W*hCqToLiUM3pa9S9?{RB z%Z&850@h`DlI57Tu))q`eRr3zPsMu+QA($(ym4=|zK)j}$=Yu(`_yHroB|{u!Eyn0 z5WKasR^bNd-Yg`xX}Y7^*fbsemlS`lg6QYZ%^m*g#P}*S`HeOw zHo$8Lr&__KE$8EZh`9OXqMy9$P$jH+91)Ou1O3kt&hBr;XRJyKq%lc}pxlu6X?^*7 zM@w_I(WOR-UZ9rmzF}bY8`L{jI%THPFstf0yO8ftSV~6Pj`$e~M9^yPy8teEut~(c zvANmEf8baU)kSJYv>3mY+!=WcEsL;9V`zml>p;7s*^O zlEMV5#}s6iM~h-iw|h&s0bW)?W)d#m(Z|1qt@@&Xu$cluSow1Y+w9AN5K>6q z0MEYC`Ef%W-R_5`Cw6wpzvS9v&^U6^(<4}{Hf}C!gPRldT&Fqspu*5po3hWBD~9Cg z&cvIWx|jW~*b;Zt(-Qi?qxm(U_i*9N?>e??_Y6Zo9(`!1GIDlw&CAX@EWh;h1Y>+x zR3F$4uef+PEF`uH*V-PkRO4Z)ulx35SXdlB%Xsmc_6^XvC01U{r_mG!2Ly18#>N&g zkye(MT*c5hkb@8)*<@t^wK`_I9$k@u*d&E`SApDPO17Mue` zuW=Z<67#=otgSgn!gu}%nsxT^jj+GoK33KH{(gs~uAXjUQ57>(k470+^~AMJP2~A$ z6-|rcwzapc1S?GHJs|ItfG^(%T z`^9aZE5%4&25*%JE}G6TdUYDZnUnq+gt}Wh}o0-7U+)Z^d|86q&@h=quln6KkPsHC@@0sU|lM#F+&C3Kvfd4_Qy&ekvx^6Q$` z6`rq7(s#bRired7Y6TiVR#p~)kBw^DK{xeIkY$Ey9NmtC|FBQZ&0KvTx0%&g48?Fx z8pod4vqKodTKJ=Pmm>Hh!gxgfsXYJ|Zp#HY(B_R22TmV7`sL3PD1CmxL(u4y@tYro z$*E)F(Q z^;OSt+_De4$f51<0Fi{3cCq-~TD>GDeW~el=A>=YMNj0Uo20bAQ3M_xX8-EE+F+xw z(#TL_F>@-MioTTSZy_0FCz5Ld-#*jOq0pdRLH$6?gMvml#lXBKQ!AU(@o&qezi1B~ z9NE#m@Sr5biaVxPEZk(gf=~4F=w&3@HB4qh_pKVuE^*%z3#4`!U4YH``w;V$Zv2~U z)ivV>YVYFd3GMUo1@4SOptBDr%W>Kexk5IBsvsaN$IPv4+fjWkPWNYacWSY*u&^|I z`7$z}`2M|UzD0NI+lhxt#2ha|?lqweU?BK?X%SNvO@4kE{Y@SqkXNs^y}bhfM+N`d zB(0mHS^2Yt0J~CNP;A}t@(&*Rz3nmRAX-4=T|l=QAUs`T&DrW{(o%`jv(fhjPU3GU zRIU)YxyIu8>2LF%=N$D1(rVi3ll5BH-^8&Ki1W$^G~tmD*<3=L16c3WzUZhZ;nm1D zSw{xAb7(f?L-Ov*tGlusYn4?s(4!-JO@HWg0L)Aer^6L%e9D(MpgRqOp}FpJ>bD7# z+ByoJ?`uMqeK+$*Qfb+>-EG2wTAx=IUwQ}*9(Upioxt7PK?RMdymj4x|+?ehxCVqG1g zj$QdG^d44W5nN{8IK39aw%K*R?S%F8)TF1QsD)+f_;V@giq$)~+*X$^K7L$W&AKeL zHdEctS02VYu%0_PSWfSJnk>`AX5!DE4XWUG*!C_AIL9B_4KY=t6hug~{IyBtHbDma z+mmf6)x$ngJh(gBbboqFb^i8HZ*xBs$jb|BY%Opl*Vg)=;;))# zT2YrJOMpAs^PO%HXGk1Ci`1q3M5gc1v8z9hKd6+Z5BZ1M1f)qOW(r6Txhyq*(@^?Y z_LMAHGwg2=hRhI6QsWXGWe>RR@0}XGy!{^QlDw-l^h8HyUjopzG0)Sp)^C3rpApnC z6L8k0#&W7um|x|;++CaQ6udx;o(F_Hx;+U?1U zEjAN|{9!1%dP?kbduIja^sT-ZC??XL#u?IO)*EWF~iY+YraC4jls2Zt-51`;dR0LC6kuFsj~mA347`O1}R zHT0rYA1h*vstz75ytS_F6G(V^BNj5%&#LSec|VAwEMi@uJ5%PJZHHzE+u{q?5KL(4 zF)l;&h}tMeRfp&^>)k$dyfPoBYxpxus)kK`p`6vG3y{3SyPCO2hD>1i$?ZX)i+R`m zao|U2cUf%gp1;$7h4dGhn)3aVkP7qaS#Rui4W#jsJ2s&1cZEBwRBN-K1yAk+PfdygC1XPs%p#Cye47$aIb&ZtGw`}YqS~%^l<#t$DUI%G`jsZ?ttTM z6M5hJ9S@JE3biu6@5w8Zv(?s25O1{3yh@>$ro4T;m2q(7l5g}CRZSzxfBrg(+UkYd zG6Y(qG#KwHJcvr49^S?hVdVKb#QiN}dhWY%Xid_uAAxc6KCF=*4LZ00S|{%3LE-U1 zvPOYU5=1~T1{_x}oWGS{oU5*Mo6uNRPrOY`6py-#?=~j!kr@Gy%eF71-(sDMtVB5@ zUW@!3EYn|4Oo3ZWX*jICGvD%iC_4+a-S(N2L{`+?BCksPmi=P)T)uJjmOIBHrRmc& zt8cA?`Q!30Yp-11V~o`b-?z`lJEfTXKE$sD9eg~>bcU1VHHmWB2!hXhP@_6IjW#e% zl>NM}m)Tj}-5u_M-h{~b3A|&rbu52h)?>Npjto}P0HgtuXXl4lG35gF^lP-Ss{3S! zal53f$7V686-ftSCnMyTvv_r1{Nb?Rv3JyX%&~!tl;soi)H_MUE}9TxwiHWb>t8^9k|vVSJVaNwttn*ZNlQ_n9k ze-nXrgrLf49jAQ6^k>3;HL->Qo1|ZosZlBjrdRWU;@^Ae>H=VIQXl$xdrNyUa3`3{ zJcq6Ns@a{bu=U`xC_DhcG)YQ#OazY7dIke*`!D=v|LsUtl<7IOorFKE#-DR%PLmSm zA)O%oDkCSM&K#*DM4Nwa?joTB)YSW)b%O$C^DO{I2-p&Z6h@h(>sd{3qNo#y_E|XO z7ma>54z3<>k_U+NR^VS<`>(i2#y}XcjRc(>8Dg=3SP3GRj#Pm*BMVpEfhB{@e=M0s z8MCqB;gCXnY=Wr#1@1J~3ZGelMcaj``s$X%9838F~we<6r0Jx?6eSOtyOaTXv<)%ji^4N+AA9%2& ztVMIu&+qRuf9>tK+wf156GIDt|5Cj?Z8ft4XW`D8Rg6Agu|~0l+KbR-^D3E`B)4hS zh|7DymUVd?{5Y_x186mlJ4S}!Q>B^@6`qQ0TS6x{5Ct!Abaw5yx&MswhOQ7OKO^XY zh`d9Fmrt+Bkx0w`%3f`EaPS@qx=J;)#M(b_{ntZDr<`ruyrc{lM0e9^Pt~xE4-Rg9 z)3R;brwV(nc!ltj&|u2?*(OnoNEKCWdopogXR{+?``#1n89Vt{y@wKb$$W$ahKBzN zd44T<*4zEa`r}`^)!b>L3mvpyzKZ!@-#ealhJWXEK_lHbGtc|SpC;M)xrJ)IGJMLP zZbVReB9k>Ovl|c$G4iTzf$ZerFk+c#NQ6>jV)Yj_#_(B&UfcW8I(j$4>#8RJZ2TB} zu*-1WDSMpgGDznzHgx5Yju+g4Z}3ft=G<=@{`d^ONUfwI-aBM8FL$F0UD?b6!UtW2 z2Mo1Xlpy^HbptdTgbR=~seN8|a$RpO_tfIXFPrsmFRjR?aSy0t&fv@{BKq529CF8P z@}u+#3tGlYkasT=vtGVf&C)2lkdKg5TvRaSYGOPe1!C(}Q1a)2i0o>hBpeyb*0E;@8=c`rRR5*LFg*!SMh25z3?AlT{8Ce)w=jDh~QJQaZVw z^-kkD)Y&tOi({ju(1;OYpW`k@hL#O|k8ta+#b|}$O;v&a85ke;AVdZD?t4z&^2|%d z@=s-Fj8>}q+%WL#7m*%I>X4nsq0oZJ%r78A7XBRV1rs+2(N6H$A4h#r>kwK4;Mi+1 zJP8dA4MSB-8v0zT>mw-d8QQur^57Isv!C z<YZp!X3Lxxh<4OHVzG#d8+HcQDiWN*=8(N1qdqcT^9 zyYv~N8acSQw!r#3FpJiz(H|*SRsHM4Tq}Uq3I85Lv6@&iG(4O*9((4AJK#O?ESlfA z!T4+Lm_D($AH*j=4?#26D>D5&SNL+#CgBXHtSBz}ftae4-}1LGjqJ=ByOKFW?#4o9QFqatX!Q29azId78RDsz%tv&!JwL!P_QjkToJuOQpc#I?mkc{(km1 zm;7sy$Mz|f6@$%z9dagygoM~dK$8U7dYn!0Z+6p5#J2GEa9&daE6cu z#M~?vp6&S@u}ye9Y4K{u#}V8{%oUen5zX(4VqjrON~PeoVYo$l*%5RzW(T2WcJOPw zj^4Hg(Ml_;M7{yEcf{N}^(M>>LSL)C^wD0QZJtOIFaI+!!D}fGmA83l2A(ZeKv$vl zn_mYetpI_AJ@+CQq)(rkUs$DO=9KK&$$s_)vYBS>Q0fyzG2%{yV{iZL%6{|rD`?5o z#y##(SRH@S)-%vX{$0(8&iTNRt1-k}4`apvNK|mmet z9o}OKl6=^4S~y%y6@{TI;HAyBg3o4V7^wG^Nq4|?^6RHgo>c8Qcv(R~ZJSRB>jCjb zSyWPElPug_?(WpHI;oVU`c^_>=+SpU5I2~XStiY)IazyCRW;RE7lVH79y50^GDGIT z!T(vJZgJupm3c=xxNGHiTee$dtWfXOvRc{y_@`ij@~J4%BRB8=x`CtB!?k->E$2v^h2U?>k31UxmPTq1-)erxbb5;kYFv`mX-siAIFPebnp= znw0wV$KX~$s{Ea}#-|ehym1_Scs(vi{9>@f^u(CBYJ(c#%?dFX+;xYW7jas|hA__6D{z zC>hnm|K!+sPi5Rst+A8tUjOmfQ9$$EkJ#3WH;ECcQXNBkHu$A6V@s;cdf2_!{^a|o z;_D1ppS})B{Gqe1yUyB~juL(dBrYRixb?wBs)G@Q9`5cvi6(ZC(+fKz|5kld-R3<+ z_FZwa6Tg1(Ir5j5l-QMJmdtsN32EEE(|Pa54tJ^-;f?nA#VaA9J+E_oETq2x&Z`dL z_Dz0Zv->^e-pXak4jKvIE-U+L__Zk5QD)`E+;>sr0#B641#kj(VOK#2+e$vbJ0-K& zA7Vj_t6p;DGBWq^ejGYSQ3MIEDx)twC62T4Zu;JS%qgu*qrBL-(6`(vzVPhLjim$p z?Me`e&+Cpsx)n`Qri~6^P7biWOw(LGko9g%E$U)XnRJUAYs){*M)ez(0mj0O8OQTa zZB^!o&Y#{Bm-MyP=9Y^eO{JH^jrFYrDqIw`QnvaSL`Pwi?ge9bE!R(h%uA(ehE5QkVkl#wwlbYFw5+@Z* zVmu%ew^XDSaYtNliWJ?2-y{mT&igH`KMi~C;e3%Kn*1K?c#S=;JI>9_&Q?MTany8P zzxe((99(eb$wKbhsozZg`AUL&5t34*cGA-3uUIJInh)&I#MN&jJeuzT=WfbfShpMV zX~9SZkKdQYl-MEk4!W*H>SfW%4-_O21|iHcs2MtG@`)UZcZ1P7CgIT=^anYWatD(O zF#BiYg75_`gLTM-XJJ$u{nZULH0_H|qjB!7yUA^RO^_z{K4Qe>4QrXkyN2bHS)etX z9DaA5s2@7`9#tHrCpE0}t+k(z!3n&h!b}9y<8<03Q*L(;P{WJ59iO3nA?!wKt#BNK zo45AGuwdX+1Sa0MZXpSOru`J5IV35-dFm7sQp-G$-;pqQ7dF@RFvi1qD4FXZLK+wy zy`5Wv765MK5MjyiiTCxl0JgIT$6g!j#wB)nQWC^hxwF!zMz(Tf#?b}nS>ERcC}xd; z$#=gV8=8JwGfpk*%77crA)3SNrH`Y`wnXs{s?}25+?2S7pC&jS*Jgud1|yHV22XlB z=7N%FJrnTIYY==@)KC>FCG9l&fQ0Up&Pk%!Xmo&PURd!nBm_V2bsKDbb-Vh#`O?se z?e~2{+ROjU)3~7t6}3sQ$#w$(Nk+QKOaHZbSZ+RJE()rC5-R!dW zdm@~2E_crJ?xye24(Gun;)rzkLiT!{Khr93-j%5JVnNu-g#_ljObLLb=N~A z^yTw1Sbb_s`O=7+C-hNA4a(R+CRU&bnAgc8lodM-QOm4pjp*ai?157DQ&Y&=Z3q_; zEkJAoLLE-Y5dRWvTs1L+Wc-^>>EnFG+|?fyy}f$3rFUtWQpy}C2N7_O%uAKTw0k!N zIw~C6^=uj=W)L6>OYNkg3ACfGiS5U#KZt+~Y&^ivl~6bqik~%Hw_XECvuqF3x?Wis zDxFz&q0uNBE$4xcOZ18t!@UYrJ+)xf0$xsZ22eg#!HYFzGZg}r`$>vYcuxNgi-JQU zCY78%&5ECnNle(*$y_AJuz#$Dv_}Vi%Y)=G8Hv(pc7Z-OCthKJbV4I2Gk6fdC^2vj zD|Z$SGn3jIRifNr+-j%2EE)Ij_r>Ay8jgz8JNPG&+TjV3-{z|d=Q9Md;KpD6aMA&! zNyLNdE#4@-Ad#zqU{X0zo~iHn7qzfTM7f|vsKO5?41XZP*fuscP&lgQ3+VjyJiLU< zFv#w9jRY~|YrJM_g{bKq&Edb_Chn&etG3=Bx%Fp~+UBG=EJK3Rhww^eQM8LEUO<+c z3j99EG&iC73}(E~ZkSfL+-W}?)-4L<&YK%{%QGDKeLU}vlexGBQwxz4jYygSX`75P zz|865S9^vGZ`n>G-`9sw<3kxYG{-o8gZ{;b9WQww5J?_*i$L!&E|BTLuQrwZZ{UWr zu~m}k;@;9`e}yauEhQHBzhRlCs;O|fYD3sAk-f5&W@ zL5xw2>e!OC7zgk;c@8z;;CxizrT+j9DdWgboFNTZ*_LH@l;G?!D-$se!RAx<^BwdE5~-}n*m4LGZd5Y^BzF)h6Rp1hI^ z9gQ9u0mR^KBZ_ShV*XG-z5)C9O6bl`bVca%f`2u89P`l# zQ6>O^pV)~|_>;$OSGKo@I5;|{pmY*O*jZ234c7*pqBBTfk2F3D^-RDQy6{WZI?548 z`6z^hAd6B9zXU~@tx!J7*15$+jWe6L1x?4yKii54QFMQJlxb{_Hs5|+|{Jx6iwpL~`mbnARmPSal{V$DY)UkG_`^Sih7N$1_o$3Q34hozs-tpc@G8-9=89(vXM@{M)ZPq-5Zj zYp*gc$+Th6Ouqq?X^jsJ5d3N!4WIM3F(GjdQAXO$jiqw?AFYoco&5DT0qkA-uO-_A zV=;DC*^Lbi`IKK@^(CWcW@dDssIb%(?v&U!_0Rh-(}la$tyQ!sc^fr9W-(oKv`9Y$ zIakCy5k+s>3VEN8|CToSUe!N@>^dpUa5(?*!mp^4roe>l<)x$;X^SeMH!;PVh^nFPve*IuM%?yYXvnkF4vVK@wA#?PZ%MbzA9wH z-j(7#iP$1SXJo50HY%TSWGo9ro1F2?R8RhYKn^ZyledTBkunfys)b-7t~xoF_VfhE8$}?qqXX=l{b}2NW%Qd$Q;Zc!pEi~Slnb*^GGuxzK3cC@S z4~onDyRyu773hFY_r-hn4>wHWU zQh!$uEebIKp>GsI*oYE}#}GWKR33_8znhuyX-KqEJ@+;^778Na$&-gXe4UF2$!5XNPJA z@%A7W9RgV5prl>ybcTQtVYCe~Et>+0%kzdhJ$eZU@ag(6uB(u;Me#doJAy;Ij?x*J1peUm#xcQEfc z^%l=_JgteBrxiWP*^}=x(I1kHi072^AU!*HOqh&5fwF4XbLHLgoYZk1)DsUT*EYJW zjxT-v`ui?V?6GnC#mn6yw&Q)LmtvMm#@7cZRH=p0z0W-{O^b(A5L545Rc4Tc+4RTy z%F~!@3IFo#j?MO%X9kR;VtbCn&>(ASN%ioh-`%@Gh;JpmCEdWjjcYdxAG!q*3g@^3 zHtWTyEBx{`^Uu@<%K@*Puw}M9l&HoBZ$Wsx1sF`@zSw|(N=Ax&(ajd47w*A&9xj-B zfpL*Ci}wG1AUc}g-e9W>{>Ga)my~Vg_t*(>syQY98S=8)e*BQxC*3GXd&+NbFU470 zFCfL}TgiNBh!tG;HvQ5-`Gv@@Ig`}mJ~BpIf5cV6Qb-IG9KvXemwHm(#KCa0|Aej% zMP>^5{*r3(;6dT#wkdTP7OsOnox|8=Ulte<{!w%H`!{925IbBkL@=-sG{JHT3dFck zOq^;)k{SjAZQtkX{==ZRw|A*JT7sT!jkU$8Xc=Sg%x!r7Jbd&=u5rLa(XVjun zYbkejMh!!S%QSbj8yOKEiYgzF6h8MM*K*+~JU>-L%p^KV0AUFnN&OV$m*NCdpHn=MkC|LYj~RW*dda%$AVxcT!&8Da25 zte^~tEdqYs0 z28tlO}1P}}55P9zT_l$Aph&W#$03xiNP*U6+taAIZi3Fk>K{xlY zuy`PAm98}%_tYzNo&;cuPx3k|iw+HNEodkVJl+Yyt~M!bqYv7VKt&?a!@^I!D`DH~ zZ;qI&$Tiu1sN^oxd?UpKq2T1?vEBA zpJg*}n5Be_`xVV=$T#1oI2~J4OlqUq!fsf~dl(s-P$qm?O=w+un#8Jay-!$?NBbx< zE>TvZjzl$&1EfCBM?Uf9-Q=n}UZO7nuvb7LwCC!T5P3J8Jj9K)qnqkek}%?g2sTl{ zfS#IjAF{a$t%tX+ME>DdMXTTz8~e9PIkiVjky$Pdozcwvd^JK)=-AntBrnCj--G=| z7$8;3ogBdoF)}g|x+uv_XbXrGyu;2=GLaMdfGf`>TnR@D43Z;OfOAP2SGK0qKR@gUDVWhW{l}#T&}av(f5GTD7Rbp8p^-%sabb+{>eZ_bIE-?p zDblxOmCnau4_iaUkI7!oU-V*W28~bTnM6o30w=3pBeEXHrXe6vh!EZesOrlm#4(3V z=MNre8WK@WQNw_bgHz|FoDoQa&d0<4jH5H*Ull4Nn>h3e&??l(xVzynF%f#Sji9HlTsc&!SYg)QjEzC+SPj(9a0icoiRg3l^VwK>tkWI% zszR)S*0j{c?8KbWktOs&*XA5B>PC@T|LM=yXQpb-pCN;3nq%bnnf@{;xQMRe!pz%* zgxAT*pWJ_Iq^KpMGDFt6Hx4K4tmtsoEr2ZoocJxGes{lFKoTs{fOhW_v7q+7NCB4o zWqn>y{;R^4uoEd_T&f{R-c(1VozeKT?{fE_hCd zX{oWJ{PP75Ddp#Y3;PEzRVqn@xn3c9*z>82+7|4bWX0$3Wjz+nDhyGBZ7CH#pptk}jyI(4Soy*-d~S zCtsJCweu~nt{NfY5YSFh^?h?PJc|br#OM;PX8|bqwgJ>YzWej#*_oMx=KCs&?>>C= zAHsKUbc-i0N%i#2<~QU zng=+5)b1KINd&SZ_>q`q@%KRkiqvd_ zKg}@r-tO|NZ(7b}cJ3akY;2?@;!hZ9C}BK2$9x^d(`|>ti3G6v7ucJN`rf0-_a+*1 zv~J6#nIr^n5w+^$dY+=SzL$x~4L~0~XZWxfX4-lG&=T{@<@H>Ic0MOLp*;{!n_D&% zo!OC;vx_*1;QXLYNmEUc3l2K_FuT7Q-6|1SIw#sRpHuUAOMaM^9#>hMF-C3_FkcXJ zhQ>c9LD|%(8hqxxoH{eCOslpube|5#j9YJRIKqF?`)AyL|7m7q_i%{$9h#C2!b{6L zI2H2pC8<=uX^SC%O$!M$^A;H?zh$<$fzj8hiLvd5xLs3200YuOe}U64w`~ z-a8@zF8OkiUDJV!n_JVzk-8&|S=6sq%G(@{pNdKJ48{ixFvkghac&d!I5QC(3*&Ho zVf^$i+z?qSM`zbPx7JzjXgREV;i)p?g(!|8P+pLKa)7F9l@dW+rolubIh91?Mh-_C z=e#YrSH&mfhP5j8K0`$rqrW{nKKk(O=ZguVeKuP%1>b!f&PTUF9AF%2 zlydYXF6y+rTZ{=WXzb=%-PkD`d8d6~p$`{Wbdy7ofnwrAO@YZAkCarb{X0-h|79IJ zF6nhIeY?(2j>4GA+1VM4qFhYU9?+KwSNRxeuD8nFJ;rg^BH<>yxz!q)$%1sK*y zYftc}qM{P2p-NH+m+pBB#|oEg5=v$SB~n14_%bGDCp;XNX)dSaO-x=HMuAoVw)^0d z-_kc&c|R>s-U(K1^1+6EgS&r9nSLYdKy1MK16LhG*qQA`YQ7GA7rP->J!|A8=Jb1_ z^qbqY*KrN(j``{;vZm2@e6#v4Z4pkywHGxblxb<5A>c zYdOh0^J!>-XQ=TW8I_e1#j!i(FU=Hh@6A&UsmosTz__`fUhCPT1NJdI3h>l#9O-;{ z5nVrW-k(9gQc+z^fn)Fzpld|(Q^Si7$OnmgTR@i7;M;g2gTxR@_`q;u0di=&j&w^6 z6?wV8WU8N++$VaM7^(b$X0n_dRl-Fl1Nhy8m=>+1yIttoGNyD%+bI!f0uM1 z)bZOP_ zNtlMSe84uWdRbLfhO@Bc{O-y3Su>Cmdc$#-f7bn&urMQ%HBb;^D7bN(J$4cPS|PP` z4|2&A=zI_Nna;`Uez^-d5MtKOcK`5XdWGid)^0vsA*?=Cnd$524Zh=H1}WY`%S;=` zou`8t4*<+O@ojq&B5OZ>q#HFtJ$3?wYy2Nf#H~dKKorIw!ntr>6RLO_|JQ$Z8yF0j zW;2~Y!N=uFrkW7J_Pn#N$d(HHoeb)r7GRY`vL!sFISKJ>knsw_i-VG9i|yE#N{k(n zi){7bux>uTqgVi#5?x>#;EV)8mgu=FMo{pHr1UOU%$GDSC!P1_2B)4&cK_`!q9i5e zmq2MP?vNoyxj#$eu)st<9noL2au1{XUDn?i?iNknZ`TWe?+7FM{fd;9zhjx+5>qZj{^INNR4kbNXz`Jppo^MT zo!t3#n_bhMnPqucQ$B_ znejR{e@s03t8n=o$NAk$8k*-zPS8Ttc`%ghrdXO8)4)4~R`4#D}oD+2FY%$j1eulN+dZ2+|j!3=Rp9S$GvB|&TkkNR8Bpg$yHg7BiFFaxY!a5o(z<1O3% zc&3)kH0g(bi=9#VZ)!j5tRgcG3-k>u-)+{G{1lDOArKgGoXbE%M;@i*w;Rl^k|qx* zb+LY)I4gC9X43qckpHuS3oOK<5(YwxQ9 z({3}0cEukzafOL+m7$;^%0v+#ZS+~V)y{mgHqFBK%?EK zARd_qmh>U`hbu>be{_FIh)3(bs5a5V2IhIx>8K_7laLj45AIdT4Pd0fdbZOU)~hD%$iQk;sbQ z!m26u-IP=$PgCPVZYT-WgHph5)b1FUX80)@9IiC-Nc#I@*P1}uh9=PeJMO|jIf1*0 zh_1cNMsvRT&Qn833Rm+CFK{INWIhBj63+Wt7-KypR^2|FTMd+ z7j)jvJ19T{jBTe-SX2${qjCcmDnLaOEa7zngp@r)Pj{V_EMMDlY56BDG=(1;9UXD@ z3x+G&?GG8CVR>G~$|j~Oc=qXD$zVqDRFa38{8hDU^6Wk?+Ye8kq8?74%-E^Rtvf1| z4Ke43EdovRT_yHHVkFDob?;n3==yv+Y0QqjaTQfDw)vC{p zLOsNc9XxGlM0Yf+T{;v-av!5rE{u=y5jcM9OeLHm7CF@N-l#HOV^zsrzD!nUO~3>(n-6-v!Ybk>p<6{2xu<0nT;bzHRR!85Joq zLS-g|>=2TWl-V%Ltjt2Tl#I+|kC2g(qL5h`Eh9oy6eY<>$$Nh8=l|Zv@!ZFAbXR`A z@AosV>s;5=3!{UJQCAXYH)@=>{9(VXf0R}tKoH>3slUr}M2rFgVC3>2M0)<7G)ETL z=kD9l_>(!9;Dl0uWbnJxe@4G_MP|yNCNtfW4#AnpNXGbmLhQ`pEF(7d7P|^`$9=Y% zPk?UV7`>URcjWxcmKg1{gD4v!n|1Dug>irwEXQ&M(oaTmU~ybzrhkcoov`AK^GdQ? z){&{+z@UjZ6Mc6(b~8aW!h?iSDnb30s8gh?;cykAnBx*kjj5H$Q$Hizik}TADwaR^ zi|iDH;ccVGu3;4+y&P7uWYG>fbLOcZNbl#b7t6kxK8{3V*I#Hl0mkl_u~bWx-t z1g5qLTE=+=LOr{?OWi;69TPu5-_L#0*U{M?auIP%wk=2Q_P|Z zDyd?ZD{S265Z$G`4|bq}u|cOkhqg80q%DtqZ<+N0pjg9a=RAPE=1X!|N=7frTnKYR z&}Ivcsm+H!lU?z#Q0B{F%ntatgo1toM^M~IRd?`&y!Oo%G@)a75#Wr`naTy^;v18w zJD`pmfXcy*r#)C^v@_XG3wF4`mk$2tX(u2b>72zTjurZO+cFU9jDgP&b&Ixwc_*{5 z+V=gyN+d#J8=?0kq#O$Iwhy1*_w=xW&Pp(FHPF+ulWT$xjVFaUq#gKN$2^)Ox%q!M zX!S0Chh#URU}p?KkQ@w8#-RZWof@X3XuwO4Cb!d9tlgtf+%81WHCyOE@aMx~n$y-( zh;lHUgdKC(nGAXRlhW*-zW>toBYs?1?!fzB&{^HAPaxP4^bLmI9#SWbhtcNxjZsAj-7HYON zHR;pb?5!HJyzKqx?i^}{4=4!>^M3_Pw4aUU-K)|#>$8?%LJiW6&#(bD7}PTbI);#jWh>s6 zJC|A#_xHFPq>u!FE3~KF#X`)b?+jYS@N;i*aC6gDR5?4LtTdZJ-JyhZ)fWhPBTI<0h!A53K!WMU-;{$i>caM{-|(=TF~OsBhM^Fev~k2d%k|M+|3R!`|E%{IXft`Ol&IQ4J92ZK z)O%JWBxU_iLslTR_Nw2i$RryAW5j3dP>Y1?`hXM_wV2SX}HnkW%B|j_l5YY z=A9RDNECFFDe7{qC7*ll+(2WbXqm86S~^a_Rn#A;qWVwRO!!dzuPt3!J2*1?<%@1G z&6XHCy}Y<1`J@rD?@q5c5wX5}!T(k>p!tquMa;}=e)`lMDHpu*ZWPcC5e7~$I=nMz z(g){%{1eB#UGERl*gd~l*^P4)v{3GQJ?R1zgq>X_Nc8DyHs0f@_KZ)R1$XkqAvzuI zzwy)orHCGiL771=H^4B>WZDaxxkc%%7k+>@Fhl6R!X3cr{7Op0XZ>H3y!xXI2I=3$ z3nVYVq<)-hu^f}0?It#E+7yAqd}pE_VMw+G{MxW_JE!=DM_ym-=6#^!ONLp?Q)S$y z1;@=+u5Z*OOA5B@hVPn+L&h`)T1ak@Ct&4QMFndm8QlFm&cm)*C(l@6Yav*oO-L*x z<9OgI9*2$)v)7n0VqT3(3xztcI4v;9Mi38Gog3mJ%*~9j-o5n{F|cH7Ygs^x#U8;G zd*_a8?GJvNb*FKUp%j7QCGz-wg%c$PEb*N*KxbH0mMQQl1>FP-oG#E&IeGz@NzF z@5&Tg46QQjS@;l}qESa-hS1KEVk& zhI?0TboTrA>-fs!P?fbb6VjILHgL%&e}6Kgpw_-?8y*rueq+dt9(rssZ)Tq70M8FjGnv0V+pOIHbm3zFX`#zZi%h&Bzv!SlT55I*r2GTFr9DWK zg+?CM{~0Sk7;WPER^b!Lp82`3poJq7OI*w9#Qn1dpz1NyIGX==9zYScpUf+hx8@K@6$mLriSFf zFSS6}H7{RQfkF)*9*^ME32F*V@W8_ZnGnbG3;>x_iy1y^%ADZH6tK4VIpjbvWK5>~ z`U96ByR7j}4$T-#6BEI~OH=CuqS#ngJ8)S=fWyiQ z8E{wr&2NL;IGO)tRCM%9IFCLLJH)+!s^f+2uVt=;SzH+Cv$=C9(iJa=`7X|ME?Y8N z-8aV6cAis*c7%BwKEcF7l%lK{0gMM|0|0`=So#E>Uz zY6~MnoZWHn#Az*Tg$j)c41_{crfjIV)C{q*UB@t#Z+dB^d6RqaD;2H@XE*5*}vl2jIf() z&mmhF*vRV`81N{AG*vTyT7CW7ooTeYS$fA4(Qz;_}l({$&DQWO4mJIy%Jjn2`RpH2v=g>cw^p^G31bMGJ2)uI`?Z8Vo!)-Ci}Zyeru z&b20;k1^_RIeWI_jAe3B!0%Fx{URV%-xrR5wP7Phc#Chv3Q zBW)iUQTu<1h{=D7$1X{5s&@7C)GEmNDu3u;I&_Ux0t;m9FS&T(MlwO_-G=mm=VN~g zt{!tMf3WkP#|>^;kUMcHC(O-B4#qgj{M_}eSQum;Yo#!D+Qn}U#L)-kKw5LD#Ka#0 z1(P34Lic)lM3!hWCP}+aI6M$|xkjaFX=yIyf3#|!BBQSLYAu>9Q6k1k1&P+4?tN*U;&`gCH zu`n?;gQV3-d=LEf19~O%8kfxwEYKl(&p3Gs4PD&s%dPIbxcUur7%WQVAO}M$NL8Mn za0jP~_dsgb*+Gs`P)xC-oJ_QHo(4KPs?ewXUVnXJCO`M($bTdLK#MXa+6a?PVRP@3R!y1Qx6>oJ14VELv7ShDZT^}_S(>6kvV{s z11F%zMZI{YXLa(~>>Gkn0{PpoW|kb?$w9_9eX)mScKx3ilRrf!pfnC`@&i{c z*TU3jM!C4KkhrT{yJrHGy~y1^ke0D|941k!KQI}}V=F+lQxj#P-?!N{2QGH+-m?dk zPi2=6zI4i$ZB)RVB{9v1Vn+Fym5r8C!E16x^51FkRJ3X6|1~>08rH$>e^gmX$>q%# zyrL$2UO~Al|o^TFWWxQ6QNe@^6AY`bH%%-c%WpOGBBCWk!Z?+ zYhVhtorHr2kjAOc!GzcJ%yM(3DG_`i-)ikY8=txlqp_2vL;{7+#K*O3i8}G$B%pZ{1~Hz2{N*arSv+NtML{1I0i2S2SQ@A9a0`RUFcG)cc%lq&x2JJbJ``?j)p_T%DhUQE;ew&Ol0U)z6h zxV&X?@_oCdr%J+@WP%^27gaKRtNwLKX%6CBslSe^EU=Kf79pV9ipw7U&bDWw*rS z-cX3a3lvaMAude8&6~TMkG!YMn4AM+0{}peOURSP*5EfxF@w8hPhzxQ!OYo^33pG= zcqKltRpFYlTlF_i;AD}bQEF(D5N(>CdZ*BgVqvqupHVu#z`77E#MwjpdZu-Sj`2G6>6uNrOV@M z?#ev@rg$r+vDyo`0b{OtxceV=u8oe4gUqv4jaaG+4ymlw1_RaveVahMq9P5b)!?e~vC0Ks4;kWEH_ z9YRd*S*#Q@!s*)BvdJ+d=T#EeC&_H)mxzjrB7w-n^z!ja)$H9syxB^A4r{;0hd(x{ z_{&4eKSu^MqecE$2Tun9k`XScic+#8EM?IdWtTi=s{-RW_^!`I?i3_)5QPWp<@xd# zxj@+=`0a=)(lk#Gg;|Aw5_y+@&ZmFlR_g(&>}n3C`FOUB)lCn2RA;VJdXMnvZ=`5cQDBvzNneS zJc80=EIN{%0+BqrOA`yz1CCdj%MSr;%gG6$8SpYsJXzMC1A(392h2W+@NIwk^lC+H zT(Ox!{6Cz`?YOZbW^-UI2j=9$Rf9*Es8j=lId0T(_VkMP7oXvm58++!Y`gjs_XNF- z>E-Bl&i79!rg_zdlA-(Sblz#dxdLWA_0O;F>?rul(Th);AMp{iUJ!J&J1|@ieFrRA zzy-?(J0y-*($KHZ&KA4;|FrTk^UkNrr$bWV*|>JRpx@$+Rxak)J+(%mmE}4EapkVL%I*n=QzE zLwCb>-u4Yzz9>`ic3~LSGEsG^w&=?b6Bhn5ij^s$aFCg8<2-^0?EX5op5AH@hjUf; zr}=+_<4=#keJ{9bkG4ooPwinT5C$=x;mC-HM(_(ntWxFlmI(;7QSn>-HHfMh;MGSZ za5E{XeIO`;c@Z9n3CQ&AR|J&XG53B8dP3W%;a7Sp@tr0Dm7SZ_=d{%1_qdy<)0d|_ z3DTeXkY)5?zHw!_@}x#pFD<(VH^oW$^%tsClE;oQJB!O6ENt6&_J{d%k(^C43mZ!~ zW{%Un>fxL}TOwBDYjxvQpYK_ZBwlfj_8yH^k|UpRNJJ_``NeaGGHzNl z&=^+~H@5bKi|PB}rJ;ZnK1fC+-4TS-8NeBX%W`PlvsKQ=hn@J=v#@AFhVry=X6@lt zz-*#SR*J1NkS}>g1yYox72x-7r2d2l_^k1;W| z^5tmFIiCBr1b0c$6CwlXD9kF&^}9Pn57I`6-)9DrbIagn3cMSVZ=3dRSw}{S%6T9( zmb@8^qYOrQjJW-$;PZAzaKWRS&{1VaQ+_@$?@cRk7X$~?@PBJ5yNysdDc1sJr@X&x zXvz&{*g{M!3HvSepDC}cO?noJ=55EX5jitz#6;y|_L65`Y%=!JH@ZosiW)n@!eEcx z3YnX}t^*CAu5Ycfj%Wa_2W@%7qU_I~KgnpO!mBUN-tVF_$us_tc+84l@Hr}C-N3-} zLnICPmGLH4-gf2tzDX)KuuV6-jlX|x2e&dey}g4e-B#LTMJ91?Z-<7GF>x_>ZhIdQ zdVCKMe-rMBl;7YR+1PV&Fb~vuipX4{Xv7VH@r+Su@$C@(8>gq0I_!(l$~tV%2N&79 zb*}*vvjzURe)JJkR}hFwuBJaG6bh>DgKBC)F$csNeJ%DtXI~O8?flgyRR#?O zU{ifz*W|Xu$a_t(k%IOg_qJ`UD8|tIk0Bi5Dd3n$RH|qBF6B!^PZB?rZd{V_YV@9; zc`qG0>=pdhImRUlYavY{7}k8^aD!$O@=4Z#jU2xSK4QP{7sVXG7~%zkj_uI!j!TID7?8DI7Sk4ceY&Jn>HF8P4KL`k<<}4zhq& zpMn7vnsi9iYmFr{qSfK?NSRJXj^kzU$$QDrxe$Tw<>2V{Luk7Y4$Aa%Uwg&Jv`iPX zog56TthGnZ!&5MUB@%a03LY*oVy~qz(~37~)NX{?s$+neiOG(t6TtMDHwnfx4Vygr zEec+L021u*rf>s=vl(rGHFe1?IvnU{U3RqGu`P4k{;gr_rcE6$o~T=Q&>vcCo#4Md z!C#-~v}@PsCN;5(>qJ6-itXFAbClsIpJiifHcQEeGF#at+54FkeRAcsBAjifDP5Z> zCzMbB^p*8s+}_%o!F@iRS=+(7X{MQZAbV}=%{`PI;cq1@o=uJ%_mD=;1_V2pA$q1V zxP|R=4Vpm3hJD=I&rl0$tEy5!i9po4xX(bqodTzf)mzXtJcR%j1QciC3L2BYUU(YV z^|#AO_s=!E^Ad3;31yrR6{Wf3QZxaOt>U-7V#hcAAcZYe}}An9f^B<~WE5floUn{xupB5Vxzi`?CE#S33;phjRhA{L74JrmgW=?}u@ z+!1ecuq=bkimL|;8Ph7`#2RQI$RY^e0D|37Rh^S7rZ~}MbuX67a>fy!8sD$$)WNQ)N`K3aiPj#Ke{YXaFru~WRUEg!pjQvhK z+U*S(=?cMt{9C!e(tuF65ny!}rW!=j_mwV|Lc|OuoI1lF`z8<GzLn4Q#oAgCke4ei_lNn*<`w7^uuD^?3!8QmJ!c z=MP=`^JMM*k@(k4MhfFbOoYn=(Z(?6T4BD4bp$kubeY7iU4*)F!#p79JJ%yY&Av_k zwzMCzvf@4oR2{+lF9*vN-Y&G9nx-!d2Zq$JFeabg!o4dOv~Qp5_y`eyk+gD-4w`$?GAZLmzo} zpMQ;xV8}n*&6OkS;43w5`_Ck7R(e9szl`$+r|)~U6B`(De1^NYi>|0Rv0_)8Epb7r zS8{N1Rl)pyRh$G9Hx9Is(eg${f$*u4vy-GlVKfo{W}2#`6$~&)UZJuBa}hiG91)zc zHtPJt2X9gRC>QgIwrRfjPgtJfPGXE()G%k}hlFIa8orUbE9{d7H*N;+3Tb+H`Ork^ zX1+xRBmN=rF5`$(+Rj(LmEGLq=09p2ct8Ju+xzsZUWYa?`D{EXPwOwgPE1_MsJ)f` zf~9{JyU_D6@c^Tv$LacC9GAD%zk0KFyOLmwE&owJg5F_~5>%dq(8bLhGB9Wb^gsr% z*)#^SZ>;a;wFV$c3QZuCOwbj1Pu{*1vAZ3F&vjt2YGwU|uf{;IMkp8wzpS63l(Ia1 z>Fb*>b?<_;aa6lO1P9B_yDTvyCiS_){1oaMdLPvbf|C;5PzIPqT1m`ALq!)F5y61| z3Av~43@YO_6P>|5h+)K&51OQwNyG2&JbA(puJ>FA`Lm_hHL-L!%1i{#lE3^6&C#i{%A;b}wZQavPx_b8y1 zN<~e5?z?-l&+8zT#=Fu-Atshsw^fk?a9-`4%YE}*nuGf=kb|rMekBl`j{AZNIl1Za zAEq#{Waa@jyCzgfTkkH>BsQR@XWaq_gJ?^5-|b@@^Rc?6nZvxpgV+AjjM8DT638U= z^r9?1xV`TdI>U`ZfKOZ+tUxBg?!oD*3Z{gFvH$cf`gOS|INUh%?X~9N-TxD~NtU@U z{`K_m5WF#cydw|iDbZCyn^1B(46e!3z!cFO$P6DCz`SlgY`p|Hp*n9e668A!M>?6E&vMAh; zr|!S}A)K%pU;0U9jPx6WwryKGW_q)(&P=+3kis#SbUTNZ!HKu2Hc=aGuFL1meoV(H z;qZC!u>Iu%H$wvKPiX>YK;hmp*j#PCOYl?{*5fh)1|pMo8ZcEmzNUk|R0D&|e{ZvN z<91U?RwbWp$ z?fw2luu?wL!k8TLP>;96+xugo-+IVAjm&St8Vg0(3*?7C_4(?$RT+|@b6p||O%e?N zNd_4bNu045BXtei^c0{hvOn-v%1^bg$FN&s&4%ADjw4q|95f0e#Q?aL$k|oEdx9M+ z#{^?h91b9*+yvR%HlWY`4n*RPocUnGBF9kTO;f|NlMq{ znL#ZzvCgq)ZD439&7_K?fufBD-W!OX_D=efq$F}0yi5O1MP_=^zf+GmL_6<;^(ot$fH97lY7w;+C zH2lNS9&!D;Fmpddc>;)bAPze8S*X}k0(C%ux~Lq?GRj1e2)MKr)q0BTm3OXN%HuNC zA2G}E8prNu^*bknC{OjqPOVCm$}R~WK(j&+Jj_&seRf28$_+{`_0#|i3@0-oli#cX zl$89|=FVGXQQBpnm!JRaZr62Qh34Gw1I#GEj@)GQ3`$DsmnkZ0XlO{Gat>zA41_TT zsfw}AVtZ;-?GGZ1>L$lI#3F#gv#YOM@NLKy3gbmL7fRL)7Kx6bVHk{+ug2L0>u;cN>0|X!^uU0J+{Q)2Wmsy-RX>wU6=XQ@x5ok zJd#&OLIIIt*K*17!9TAR1!dNj*4CS2rvO{c)G#;R&BK&0?~GbqHLi`<;7$D~kM0|* z%V{W6C0&{$sJlI79KekIA$90>qM#YsthA? zNN$MqKN42oowVLT#}?=A3*K{bX+l?dkv}00)s)Trm3RNN0@;*sEqXp{Zru>#!yIdN zAo5&^10KxHi)av-&-P@*U?BkX{D5BIU!lcfjzd`vHY?s55Mwf;o=GTCvN>NI(AVxPeR^JXLWW>FZG*P7{Dy#*pu+RmbSKR zEM0Pb5-%@7*1<#&m>qJxozwBF0=-E0hK*)BZcOx0Bp(K4jS%A}R3*DkK41g)gZ&c@ zybe72$?Rs=>tv26Oa;{c#n2l$up-o*ObI3Ozl8T!_Tp-;?8EF68)=1q7se=}ogf6+y1>80|BsYy9wMOw^cW0;x+Dk>F1MSUqan>W1DM^Z1z#1 zR;F$Cd{jlcPaS00jnO_`y!bkP>W#Mj(Tb@qZ(Lq8k87aB!&N~>4^yyt*y3Xu=5fAe z;&*>16N6myxY5wN?>sU&6=2bN;VG*odikEL=WL0eJPJ z)my^Vh?_W7+r!jOVV?L(EHSDu5SzjAfLdKGn)LkSH06P`{ZK{-UcuLsk@$wO5z7ro zS!YK%_QKr<)e>+FM5R#9rvx7^Ugpo3ud>(;%KXOoxE=Ta$SA>g;?MgR--fyl@|xQ(Q=G~tRSVGw;tOw zmmds%wWQ_lcG$n?&GbTu>Uro(;uoqAQrSlD(-|l9!u$&S!=0YZ!{XIeIY*Gw`|H~f zH#W(czu}Gp%)-b?LuTkRl@_i|9bq;EMj>|}e>{^+l_W?IS7 z`@GVbcquqJb{4p4h+pvW&n^z9_yK!79S+CWQg8>mh*A%r+ z#zv5Pi{PBMaTD=GeBHBeU;iF=p}-OEp&hNz^y*yZF7{|;d(~komKgIe#jwCLU-_fk z_hAL~wpUKYKy(|2hIl~ou`s&-nmXdKn?{^PO3%ZRvi;nW^gU&R0mY-Sv1Z+o%G$SE zpMQPob%#9%{X)n|&OdISCnw|8wV;{$sQ8+%P5py{La$gFxc1KT6pj-5bAPjpizH#= z`dORa!)-a|12a}gZqnCUr|K<)tn^t$Ou?Dj(N|ndJu(?nj}Oy#tGIpCS zK`KT6GSYfvZ$#ksg7B!jAW;9yp4A=bWrQz0GZJ>yo zIPVYKFjGb3FSgsBN|El*P?7L2f#?5$l&itQQK;!}V&11;x;npcqs2h7RT-=h+O5v6 z=bv?Us)0L7nV}YazGI85yQpak5UxWnM!n3QK}3~YXZ80TZide?pW3oB&AARt)gAU; z_g>CejnD7m0oe*vnIbrJerDb`e1@S@vG46TFCg~QvukSF4&ICBNOAt)_rR&ay>Gj{O!{$-i2J7)CdNBz6n z?THt5{k_hcuBKSuP%r5n50q|dVdyGs( zM^H>Ki69U+D^W!&7@Lrwsq!fI;(p_HkpfrafU$QO5aXVEgpxx9n6=T!K}jbCk}BTAYDW<%n`P4i0p-{7=3oAWEX z=V1ChOZHx-mk_ExVXHRPy(d2Q;G0!jb;0XbQwhGJ5WICP0z*`~-~R{uZSmfLcK2i@ zA8CwHUs=$%3Ea~m#F2wS_S!4+@B3*BO~lmyZf2p=O`}83LzwwZ#Y>6<{I!t~{|iw# zJMAqEi=VEAT1}|^@QGUye@fM}Y?SWZu~&K-aA*B_d9lADjW4%^sa$N5vqzH{A_&Cb z_Is&ak2AXYxGl{MneYVBkaJTwZ_Ab`cGyow$)YrtKi8Uw#-QKIuSc=0^7KcG;%s!MkhvHf&$KlY34y zH@Ny2FT`bbuP1RplliDF!w)u~8)!kT-Qfvh@HyS}2{s-cXHVB`##B5q5@AB*>V!8S z;fenv6ho0tEn|&Q<~r=38jtR$O_fAo4?jQ=Ngy_e7u|xCh>Gb84WM7O-|rG0!f@ah zv1uR|Yv*=d;nU$XW@cd6e$GZNjdXrw0xP~a;q^UBJWhL{@=o3!^0y1@qFerIqGYd`ltAZSwe}jJcV*~qSTveI*56PvY&TM#2BqzV*Zz1 zX*&P&CkghfC-D~G+KAGCsIJKVLaRI1cfwU+D~-Pu2RFAy!Rx_wEDUT^UOg821Dna$ zKv-Z1F512_>l-K@sflkM_$y&-+F#Ao&-!L9c&cLsg}SwDc=cs;~InWLf1P9Iu$0xIBLQD$qtK<2#%})lwPdZ&5c< zxXeU-@ERi!6O_BJYcVOg5d-U;A5X)-^SbSg&eYX9!LmbKqQZv!{C z@~5Yed&GF;!aMQ56ATi?tjqy==Z9aPN;llhwc-T;i7`mv`@wDw;oQkFl$$Z9YeCUy&BDjU7g?FZ5=qDa9Rl% z0W~-$jn*hm{FY=YldAS2WuA4E*FUch+`5FOVkZJJ`1+V-}gzo>3P%!;*8=9eR|8UU%b@q2HuzeoXo$I$_! zbmfWPX&J9?tATpwjbjQ9HZK{+TV*C zM~k2nv{Sl9MS{@NY(u(>GqeoCZi0K0AhD;RrRCqfdmXZ@naG8M^|3=-{5ibmKTdEH z7u@IHNYB|JBNM-QBjhl|uQl<>nbl)SOrbSv$6*t2f=&BeKlA>zdqBUnp!wj#hrJ%xXR|z}a*HCkzIt^0 zE0b{Lcm1{zSYzckb?)G*a3WiTuDcC6{x*`EdZEOwpYPsJgd`YH5(o-n9IM_N6*ajw zcP2h#=XSldU%TiaVobqCr;Blkacn@2ZvD|amT^=qPSvUPWmsy<;9Yy6(*rh(#{|Sb9mc2tupuP)x(@<6fxJ2NtSbyQk;+%nK`yDHb_D_4q4_^4G(opIgr&#^mp2 zZ&4aoXpY7{d}zwe`3!wQ&J7iH9RD9?XIXKHAhIO~#Ln{ARn~}6UYiB~c>o0Rok`go zYnr`jUJ6uq;p`=y8W!a>05gp+eh$u%cz!~^TiWP|suJN5N|RVE3^pfF398Tt+#8M0 zpFjU@|4Ot1(HW{{X18V(kfjvgWemiG1S%lxFU}w~lWzux0u*kVBemcXjz4(~BI2EvobIys8Tuo`aN{? zMB>MXug-}all`b={Rc;5yoz(rLk)_6-7Vls6t}){sy40=snsEK4fe8Kphjckk}{uCynxW}b~c8Zv;cSZXvhU`AT8!jV*U>i-xBg6pF$ z>VD&rRe;Y_-Tj5YU-Abm21V}`t(9oD+JgWGY zCT8=7L1-#OoeikXBePI1fKHaW#c#}3X+VSPCkr2sj3#=oTCHpXR|iqKV$F5LHh2hD z?Re{q)n4wq;5118{vd#GG8?zE9S|5nawt^q@^7R2_uF{bb*hvy9hcY4NW+QB-Xz|T zxrgm;JW7E<@0@;^CR}4nY#zFofPwq2|mj?!$Y^V?jwwV>uuApZ&+hr3WWM;SI z5nm|vQc(L8qjm-D-l#1+PQhE$A_v5yw(n#zj}>UxJ<~mVW3{XE#rGHAchwC0Ed^xw zm|ukdOJOoi#&cvoU^X1Kb)@Uu*3nl`RJ4OThS;!Rv=Dyw`Vnjv78gz(xG_T8l!o;Q zgGlV!;GMPp?Kdfeh3{S&J{z)Ombz>k^{J2z+Vw}umHn`so8}ggKs4P<_>?$4X;XQnP-0%z-*42VK!FZG4-~E@hEKa`#NpzBqtXh+rI!o@#lrVlz}kX z#GY1F_Wjj}a&Y@i9YD;s_Vx$siv|Ycfu=k9*5x=QY|tO*uVdTcnUK$qSc5vIqteaKo-v`E znGo!b)64s~wYd#bLe23DWWbM--y%R|mqz&Js=pGN6B9HkK7INGm0v4#Yf_MF037nD zf4CV3%?>4{lhc0uJyucKHs{Y@$06Sc`)$AHP^{Y`6vWQE`)(`w7*A#gv&jyn?hbDW z+q7;uDvF83Frul-xmEHE+N5fw`L3=m1!G>j(f;JtXHa7A*tP50{i%7d>P|wA9O?#V zuCaugh!LYYCXX3G4)1(MVM@3x#l*VeF4Ml}^QuQUpr!NKn{gov%`+nH8h4!8;B-{_ z*FB*x` zs%V?3scGg;rka`>@83U#P%wo7duP6R^QMKd!Yq|_z(Qi-szYiUY9mA{w7=v_(#u<( zx!*Hlw(xH*bLST0qMJs0n;FJ-`~1M9pllF;t^qR55o_8GzKaZw)fN2lo#jaSA_+i( zf|_rhRUqRI+7A9_Pca^pq<@+}_OBaLfq94b#@4PC=Qv0FU+8P1MiM=+Dsf$UR%+be zuyv~e`&FddjY0c#TKy;J%B;-Hz&9VDG||ifd;gwSJ%&s`>ae#wUf~>Pvu^CLFm++| zBA&LE&w7fn1*+yX!!(c&~qPsfcCBxYzErX3E zQr_|Xly2wrjyar#Cx%gq3mXQR2ow}5tG|w3zZ4ytl(`2M&THEaWcHRvQI^Z+Mr#W2ueSfQ zN-_x*Cctm@&?62YhCsi5}h}ql?*5H1|HItkl&2CQ$^Z} z{VsLXstwz7jEjscETW)|(@&Q_GQBB4Gg(tW?ZSnNFyB&N;KPLS4RO8|^Il&UEETb`$keGP1qku(2nR(Q-P$6^i{Mn91W!f96 zIcKAT{xI|9M473HC3>{+RM;Hsxsa&P{A-c-kN(F?jzQE&fq1;br523Wg5Tmw^l95o;6cA00%>F@i7T~ zh~Ghbv_a8C9w&)hc4ZebAWmP$eAt6#j54xM!TW-9B0UlNSVQ z$cB?p7@J;H9#sgf+$xjlxCPe)#hZ~wcI<&uPtzW*4|G17O2feeiGDN45X!>pOPhBe zsZpNhIph^&@S~DZz2G({-o!Ob6XG^boZ{6@& zLDL(G`qLKChqw|#@kBHQD7B8XEdExa-;3QRDlDgvpReCRlDWySGNYkDqlQi84gN6K zKihv@riQ9eq|Z+2&EQC_`p7ZNWI)!5nv;{*b5Q&o!iF4x_QPV)8lVX(k7#gvIg5 zeoJo|IW!=5)YzD6j^*z%aCOvv{SI(Bc9d|X6D*m* z$3OorM|=#BS35u{$@?$uY0npp3QkGc-0pl49$3t85LnwL@1`nVl`OF`1_81;pgC9y zY@M8#?CtHlsjlk_zb*>3!Uu<=y!#SBnU4XpgOCf`A1E@><1!mC=9~E#P4T4G8Qgko zQd0O0m6ZtpV`gSy=*w`TyDchToJsDRbMdIDtYjztVMH9$lpQ5I6AB2TS;CR6Dwc?A z{40X_zXq#ksRGIp%#5`-9?}uqPM75VB%9(1r%DhF$KB#$g&xxihrW`{yu7>=6uS*t z4(*Q!iZ;3aF2VQjse{`hNMu|%RNaj&Z+Pz+yk!=GvyH2?e;UoBxVU&>0@EAkfz2?L zgqD?+*{HuswL=$ApfqsD#JbUllOI^G6m)OlC@m3_$c}X^j}atj?YG!1M?ks zS=DbMzVCBqot>lcV9=EkgEN%W0U`@NmdPn8wzyrrp_JM`ANa2zINL$T;GfTbd*0|* zT2!KJGsBK+%k=yb5;xdJ&puvE{^?(q7`9qj8VuT(8;&>g53D3x^R5f z-MdT~85w(Dl?8w|E!xQVySuaVrA0klgzH7#3}ZduRIq62MK{B^*$c3l;kYE-%DqRG zm2t6ISpWt0$I_6hYzD3ChaAmcPLt@ zDgG@_u#!E8w=0ye`@2npC>vCNM!!Pj%S3=d}T6uDfVV>5p9o!+;Zb9#&ccM0@alaS;za2 zWSTUl-Hm=!m0H51>`R6#X*%mAB_w2GiUuUstvAdpjjW&DaoBUvG|1Uh!8>=CdeB|= zvk8ppf}b6nox-_ zhp2(QXd?=_Yg_g*f!Z&xuKr}OUNl75AT?s~G<TjT)i=y0{t1DX+t|2|yz^my{etI4gpbZCIfYiq+xOH0*sCx6+Z zu_P4*#TdvfV0WWD;(yNBp_N^}IBF|etsHiI9hXqxf3{j8fzKq zt|~#+LM&skrohXe>k(8h&A&+GEtJ%B48F<|mJbtR zZ(Y22Q8CZ+R~Fg%$!Ji=yqDhQT88{OJ;+w+tZk^e3z3s-7)_JxpZMO;rPQ+R)P6*Q zXt<%jiPLy^|H9eOdIfA3qR%E)aG)vx?_LTh3}g-X8>{2i*>PvEl9mN^>ha;qs;W1l zkLH%8`k%@mR37kcGrmuRl~Sg#(q>T}gMiZ&W6m491RZ7`Vt6cD@DduxbghRHkC%h> zm-pt?qRk3HN5LLkiz00RefCZII`sE|lb$O8ZjnoOwwp1TQZ&%lmygqPK{kx$p`PR1 zcs&>N(#xlftgP&AG1hSKpTeEP|9jvAP@11s~HE zxGTMNUG6Og=}X}^B1`*b^;7WH1Tvb{7i=0kw)V=#^u1RJEe(({F)LL5wk~Gm)XyU( zrd&A&OJ8>G@xKlw?I|Fa^(#XZ@`}AHjpwJ4_>hARt+22V2qPELR>#K1RA-*#=C)*3 zuB*FLTwJU>_(DJn)FjQha%94j$^oDs1(H{e%Bg1=IlN6%4%?#GHnk%#rgvR6ec6$# z{R}$-YXx800N~g(r=s>+7E}VG>bJouWJTf%yUBg=b8YIa05IzMX>#k(IK@8yMDjF{ z0%q7D$G?+7}Zc7>m52oyY$5E1J&6V$w4T7n}>&aNiHm$p59L{ z-#KvQI+RjOID10#@`S*|kpkdlsv8>22LXTNpd`V%41}pY6W0v+q=S`0SOsB#fVwrm zoFhn9t^wEr&8_p;5*{pf?D=_oe0+%GA>+Z>vuDYaHVkf!MtW64zvvtLKwpop?-O{- z9jB!`K3(yX;N;+lofsT~fmrjcAFw1hFRu_3&vQSHK#Pm%hNu}afjR)7M%=`+=g$=^ za*$^jsGc=89PSdC03$`i5`Sh5&si!n6B8PQzCdujT}35h0G7$kxyD7eI5dGMmo-Rf zS{y%~(zMw2{aBce7)+kH{_u^o-f05fk&)R5=44}HZzOA8ULGc*ku4Rui-dbXQ?otk zxq@OI;O5V~CoC;vNWF*}#LeA3C^VE7Q_K&49|Xks7phZI1f+aq<&o2W?w5yJJfyI+ zurLrZppuf3-da~{!d3!TMwkz4`oYW0H`BAY<)eLQ3GgRbN{V;M{vB@ zK|AmaG@93AoQlc*xtqsv;bmtB|Lt+mmEqwbWFY=Z`G=nY5D@F>*zD{LoDt(dRAC&O zOgLg{+FB7HA|e79!!0gYswW#4`qS?2>ug=pDJ+1}#-^+*?`(z!)}p^fBr)OUO-kGr zc%yNDzd?lCa_H9WFIKzIG*xwEeEsTF8PO#2mMHx_Zrnre_{8pMYz2aCqSCkMX@%v* zUC9@C6q#&q*sQp?iLtP~6F^QSqTR3^Mjq3?p(*Me4@uUFuBFuuf5`H7N=L!w;TvXl zBX0{+rbFU~{Gt6MBQJCo(>oO#LmN5aW- zYLwp_60&wRjgJ>cm@0*1?F;KC2ckFJjuI1n89}JXlo*yXjF0!!MV?B07Z=QA(Wwx= zsRWVasO#J=PDiZ7yp`UWFI~N_ia$=QadaupakqjX`^KtiDQfme4m@T_`MLrXf_dRX zX%ov0l9&m<3>-VV~ z_Z(#}nBtG=C`)?aUr^aaP>Ig}P&FkTg?*tLsyox@H_pNlSI#h3BE5dcjl7@*VLmyl$1??~F( zpV75^R56b5^%ZI0fY;nAk*N0tHq&0>{vQR$=(upgV8{^#)!v$deRaoAoOq4;n)5Fl z@#&X=vIIbo{}Uh(?^Yh3L;o(3#02s+-)ch*&|(-J73BbWtXqMU!FV1k=;b~>!T}uD zgKkr9@7}lX^l^oLlKewXKu3V;d3$DEJt>W-ZI7Vg5|1sv!TKf7n`qCBrkVHMLW5V+VY6-ui97LUdQy5x!{`9 zobh}^s`5Xl;Om}BZa?TI*o738C2qkGS*VU6a> zy>|72zvG`Z31A;a_I{EJSeaEnvD-(7jhG4aR(I|BY3b{$kUpnB24)@ejEi}(;)Qo5gb5=x zDGHv#>xiqfO6`;M5V!!tdoip2=)tZxEnMD4ddZ@B_}@n^UC=xQIH}5S^xv-^)ZuIH zJX%MpjEnq74NkYLZMw!+uf55(<;qrw9}cVBk2f#BFpi>(MeKfVE&=e76Ohooif3NU zUiBlZq=W?~TVmVlURBr7xbW2t*#|kGYU(X~Q=xUp*tt$i_1k8l_)hQm#}rPi0yUE- zk00Mm2p%wY%(srC9miHgS3`w0-d8k4U#O8kJ6yNp?&B5Gj(Gd{xYsv&`P}d0m?`-R z`P=Q0RmapeFu|0CPwyUpd%83L6&H!e0rz{-)rZ`Ph_p5P$)_SIxBKHcJsvhYsF070 zT!amxw9q%2NM0bf*uJ82n%x&T&E2-iVHgPkK|A(J`7h=(YOEx(q6wtye{SR|*X3s> zqno&gRQC{v@$NpV(IzfOG;_ERrV{x(pFJC2eN4(jn7SwTTQb&pkpQ=##6(U(cE)z< z|Hs&ShhzQz{o_~J5kjbBuS6k4LkKA&ql6->$Vf?L6(J)dl9FVWG-PCt>{YUNWrw1S z3aR)#&iDPjkKgyt?|t0IeH@?9-OzQtUg!CIKIRNCw3LVw5;1-9=Ij1f3qUSMoFffa z!!%{QUKbQ(8tf&-dw+etc5Y)U8bP7X+~1!+ehBeaLvAzHm9eo35ud?}JEFbA($3); z7_q{;_Hvi&V{C2^#S%}!;IHqW9!3|2J#umdY8Ef^?D_Ls?yU=xZB&Hv1ng65Gi-FG-qYsmxp_gEX$eygHn2`1i3?j*8#%!^HhjZm}z`@w2PjxBiV9`a>s2wVjRjUQp8u{Z7FEvW9Z!#cD)NpK(IiiRbGO zWW|b`S&+Bh+gTP(Y7liY1G@Y0j*tJulZAv9qvL{yj<3O9YI5@Alry_ZM%lwhkJcZ$ zZ=Ch=U%`IGl4tBITlcx^=TZ~w7BP@kQ$rDE<38H?a&yPT3P73_49SOlqU5Dr1yCum zeY*@Kr9AsRIfy+LP0@sTz}7zs5)!3lVhQ^^to8c>eXmVpSfr$j7(yJawvc>oGr%@A zB-z=@K1dgKbV)g{S*oNZEQg-?)k1P((K+bMD&x{4i~qw{gBEtX2)bfPGMQ}GHZgxX z3-I(v?$#jKNkwUZajIbWYSiu}CMmiyYDI*Jk)cziMGVk(!@1;wIuhP1cL?N0DfR<_v z!5c7fCFzSp*8*}f>VNDqY-Qc}D?t>h7Le5 zN*h<-EPvh3cI(try{$x|fRB!U>k93|>(N;vNY`1w^_%x!FJl=6vQq6Am0vLd_NDxJ!GyDI{f7T{FJeZ0CG3!6&Mb2Y2n8~@HUySrd z_>$)&5Y&RZvONGUGf zjAwxOZaI}|?}uq~p{YrH=_F_lJF6!-IfkLOoituvUX@p@rz&m2nHIJ1)FG7 zB5=UqYGrL*_3V(2PT0Mb7vbUSXVlKZ$!!3nAGwoJ0e zhOTE)YSEj;0xgWmxwpR`p6U5}jSaGxhhU1tHk{TBpjmv}7@aA$Na z>8~Kk6eNZR`mT`t*$;KNFA1}OSI!Cr5wnYn_2gtE$DCQ-I%Ln{b{-WzFE?_4ii1W= zck=&;1?2T|x*?KKmAUwS(1LEpx?(p@la)*Q=H|L}TyN%vVTm7moz}C?>lD^HLXl|Y zyS$l~w>o<^5Hf-))bDwVMK_ZEW+LN(6j#{sRje%|kPPBB0~tX`07&F4W*Fkqkn|FS zRTaN7I^+pf#P*J^<@1KmI0!t+R#j6&jeL8>E7RP_&^?-S4e_q^?wE%ys%qNX*^uzP z;gLr_fKkF#y60g@AZs}hx`kYoIJg;`>8z-Z1C*vP4io+eHIN{-T-_}DEWI3GSK6Ou zh6a;VOd)R+V$>{*-}rzu?L=pK$Q`2P`Un%?SK;5iHFO_J;^uasO+!rG0FNk9SZ6fC zB&f9K>i00>t3v2@`RdAE!Zu;a5%QNMtqzewQ`0tAe2Pm-7{Aw7R3F?w z{PJ)ayfMnf5_Pc09+hq6JFyp7=*+GKf`BZ!n%eMG4X#|BWw0x!mPz%=i&3h zyd=MQal@??tq&3$>&h1HB_!yv=`iFS#X*pDX+jT4agTD35_E9koA#ZrlP|cEcvEAq zp}p$qf#2UvRsQilok@U*on)`fA`&(QGZEl2aVaUX7!l{Jl;2NCNm2q@*ObI&Y;&L>nnv0W@U?hm%8~P=ya4b|7M;_=d6j2l! z@6Bf40ToI3C7utQ+>>9q7SV!Lol*DA%DUd^x5a{tDdR3hqOl_K6=MaV%3hCE83X{u?-88T#YFY0#w>;3($6Ja|zP~H&y{QTx?K1;)N{%=>He4{??`NVMBb?namZ}%b;W6V_vj~d`Ue(ud; z)PWyqd~s(nc*YuV+?*+2O^DnGB`6PzfB-I9UAZF0^!*J1cLHI{_Gjni-Mm>s@!Vta zbp%mfo%-R|MfX4_5C=-s>P@ZE-8X>~MllSLb}Oxl<0no;dt#TIJ8N*(OMrLp6&-0| z4*jFCy#W`ICo)j1sjkl5S#Le3FqJW*Y&&=;(0!`x*<%Uo>2J=9FHB0Gd3856>CEhZ zcTdZG%V;YcHq6Ne=+@ zm(N!IN21W#>tBGa-A~|l@%8`aYWI_1jYLe}a_zK`)anHsj5}onS1qPjR;J+}i;ENX zZzDGC(wz9+x2fz`WqvdQ3cAnA0?E?_X!u?*lmCiAk2t_2Bl0D?;l$I#qeU;ZNI zs$*%H)coT?Y%D(ty--84iE`Qfji_n0Xtnq)S*`os{rz$55g81(Qd*$~jfbW$>y6V+ zg@v)7n5j}k^NNRt=L#kmQ~xaF<7QJtEq4Pw03vjyEG#z zD*EO}r1rIi1%*GyB?oHuzoR|r;E!&p0vEpDe?_spqBfRLF<}~*Gk~@E<=Z+t>prf9 zrT=h(22z~_|40`nIOQV7k5vL%H6gZxlwe6skOgxwgoKDbDf7Anjez_kgK58S|Y zL2CQy*Ue1I|r8z2yHO@cp{HM57_Le{-0@QDRa05D|`CZ;PQ0gHm zq4BX>)Yj9B(DO@3JBL9vQUSvu+s701xV6VV-7ZtXNTqS;JMIDm)mB6OfN+d@Jl^^$ z&k_$h>Dp!!V+)SRo4aCK8mzfX&a08qLJ*K7L(0hLl78plb<@RH-_*XWlIhv=HWxf$R1ZKt7Kg4&L6mM z{5@Z(CC63=J*8lP6C` zi0$7mgT81CQ7oaM@T~Yz1HrwCd|Me%uwnFs5 zl4um(Tj4~&j*`nFaYek>c-NBMDe+g?(rd9wCI$&=97>UqzL-=56%;s0pmKBbc&X)U zu?N=C0%gp^Vf3L^om!zg0+jW$wRb2e`Aj{Z) z*+g>SY#FZD%td8tUwr#_yms&3|1X@aG}F<=rQ~$&i21?ak-$+cCK%vo}3N zs-&=RvMUZII1$_=T0UQLL;!A{dgHx`Qjh_Su7>i|>rc3U*cf=fyF%|-h>yZQ6`t@{NnudqM z*Y=2wx308K_gr0*w%>6?vc^7zQA3n_?X8qqaOZ;3(vd&4j~|bzJi~4()4Bv@;QBj{ zD4lI0$GdzMTV9LZpB0}I);Z()le>_|`0`gO%AQ5jfIC$a4R1?t+)0rXf3aQvT`BX| zJ)RZG2`rCAzj_vYQP_x^!~L#1+X zk_I2P*eSc|9#-i+%d78_gr!C0iBPk?#K&O^o>R?I8oXytNPh7(v(f80QmP~BA05q( zaC1^>hW@ylSKF(*w{$&?TEZe{F~cQbVrFIyt?-x+LJ{%xJxG0&7V5oi#}3iNTD@a^ zo_C01rF>UhlCNUMaRu%X0=N(k7-3U4&{A8~)wL1nq$H9_X=jo*JAKiq2vFwa*i0>Y z8-#&WT~pH0hO8#|TbTP|eh6U*f~=O`Wvx z*G5is=cz(pY&i3JKi4zJ&{Q0bsG|d#4N@0xhb82qq*sks*_$3E>LeElr*;(_)=cXh z>2k|_91LCZrLr!o_wn8=u1HY%^ZPfN5kn7#&3irAd;O%vL{cKx^I9b zmVYK5Hf0Mk@xxj+-FG%%ClGh zV5?oDzcb=XbbmXwO%M={v5zy;wlT|=R#uft=q?^biq~F1nRAnELIc4(=9X-0g8~Cb zI*uL?d7P#!J)?tb2})kyoMJXP-O=x#A5nZ4_?plGPW7(;S8Hy*a*OFYsl7Vt!!N`d zu0;h0Ek>kzZ1;hF;EZ@LqZbp?Vc9RZ>wyViFs=IV;pD^{$ez|FS&Xq>V$Nn*q~ry? zitJI)?Rb0|aA@=6SZ{K@*-g__c$|5)O~A4UH|7rwyNsWaSes%tBLzE5}B1Ttb@75fKsMU{sG6z5e?%7v*bXBzILC^n>dokoz(YGe7#G|;#g9BOoZlNQ-U0HoLyyw)=Qjpc zzt7oiu-U84er=y=MtK30H5A=Axi-`5_`ZHOiMoR{%y#ONCE-xOEUGXYDlzKZyLV4o zUjB1#2mS=d`1EuzL}VTs*aDL~#83YJM`;T|Vl6BP8u#lhVw1&h^&Gq%72XAHiIpEZq_f;E2c^cI`3}Gmr?N zVdUh8p{$20X8-xuB0GPciw0YEhd+vCTIK^z;k3 z^o;Og8I`g&ZccT0)4f}2NT zmcU(V-Dk(xW_s{_gi3^dQ~dz{zJI9@<$QXkNsHCOW0UCg?xy_n;^zlS8(;jX3w$H( zC_~PA^b!8NQ{r001L3#8s^by5bN%X&pQL*oz`=+ie#7w-`Noo?=FPs1>MZGEWe~-- zX}e*VPAV;pPi=d~xV$VUDykWpK3a`{8>KT}i^a5$98o-+;%0>)@%VrvO=+S0dU|@C z#}}qV$49A3_5<6%{e=cUCTL<iz+Hv;%w`&(^ITPfnQ?oPYm;vkA{>+I{;* zJl6?EYC}SY@y8BLOgvrei$OmJX4;UP2Y_25e!icII1#t}s<`6RZPB6^4A}#>oxE({ z_1X&pnfKkZnPf9kIumM(-438rOYk`}z7Z3YT8nMlWW;r4FDUI`iJgjy+~A)>$C{xS zc4)D9y z`s%e8i4yc%{8kkvV2uN(?c+qhVWFJbocPdVe0*PdXjsq$h4Njw+Tj#0mA0duV##GS zWY4yAWD4${QigU(wXsePXxPEJXMn~=p!ylQR`3?Oegd-3&$|M)K_XwwiG(rTVT={M zkoJPCXTd815P)=F5nm&;j{2aBNGJ_*0JcHx?{PVJkTm}sZTJMReEv>J+~kLXol%X* zm~m0xY4&foUkb&j@qi2F%*7i8)}B!LpuPK*LE1^7F!%eG`>w@G9XN2>E;e2iVKqK4{OPGy$L)F4KwXe^=sngv1+%JUh%a#8& zP*+C_1X-jUkFjd&_gYk;aw0(|D?7Uq4;7dTm4>fy=HB_Id7D?4ey{Swwo^lW;4$Zp z_3&iY{1osil~sQ&i{AuLnYau{_OvYTabx3oDho#u7hj1wzjw8w3Y?o6G`^sFaW;JK(75+nf`rz*Ib=hm|!gR#O z@&*hcTTU?;2jpH)>??r>G8@PO=&iz%5~^RX+x}MzU_($pyQJg|d!TSjH+ss9W2%q4 zgk{}2L0j5C`$MJtfvC*>XgQDyi9L?2($HJeHJ4zYIsw%~-gl$AcjoL)DVgc%!IwVz z(J+!_f~5Rw2Z~5Zg-^fRR}j1G<>@*9h8=&k;8miXi_oD?I?uk4hkKKx!kP(8>vvHxV}!iW&Y zv0W#-)%gG&sVeV^3Rn$|RM~oO<>&|C8`p+1SWBJ0@!D`67Fy}xSMbh9y{&MW^vJ)8 z>S`+42VtY(ILAX4nZ0a|?%5(|Pl-!o*pOoQOmUuCjd0}G`fQxiAZ-m0@7lf1nmwX8 zr+RAbL+`ej+Rge$t@~aPRqQN--V6F;HQ5}NO4{X>G=K{Sf2+wF+HQ7x032yus+qwT?^kR|U?BwjM z^zX`auS}V+3?KBrtUNqSD%V_~qF{y8(YZfY72`tCPZA-pen;Zgy5=B|{hPzz7mxA9 z3L801dK%l`aRj|CXiaxD)y1 z9TeRczT2g_^!{6$&Lsx=ME!dZBp&SZ#fbL<;UoG7ECj2w*7zyx_WY~6hUcB2D*DKO z+liJeagdwka@uicnnG=s&;e#4{dBo92wa=lq9qd8BpAvq8>q|QbC({9I2j0L6&Zzz zD)rO-wmP4!o8lqKfd8Jvz$b~{a$<@aK!U3O+ZQii)&Liv-kraA7Q#nJh^cp|z?suwZ{U%0{Jrm+zhc-xz6 zUg&;4rEOE1n|tiV`RTEgzR%(Gb%YF5|JG~K_wwvSb%##aX|G=x) z__Ov34slDf!A5rW9i|k3P?Lg zY&>q)ez)RhRn=87GV0j8!6VMnkrTU6bmRg&hMxlxw4WH>@%EcB5y;|NBj?FEK7#=O9KxN|UmnVM6ZG_X15(7v zucOsfpyZ7)oa7Y}7Z0|F`P?v~vk`a-L-Lbj64?+A!tL=z(g$OQUqU(ZAOjMqM&!MI z-4JNIQT}ZVw$x#fR#ZCFW-kKraTVTzV^mXZaLxHYvp1Ye5Fs3L@2WJFatT)`T>PD{ z%ujZ{DRv56b5I|9t^k5_7mw7XlEEvuuG7djYyx#u6K6-ur`kdr*+Dx%i z8yK@~MStw;`25-2z@Rcp%e2^S8xdEm>I_0#H>(+wHS^z_T2%p3B{CLrbm%04Fs5Mc zKl~2|s9o}nHC|Byl9D>xJq1yb&|u2lpGlTDub}mT`g60h75Gd@h6Z-yFJWMa^=NfF zCVR6}2QIxnBO1HNkWZH{n!F1 zb0}ax3>W)z7j{ZWu>I8Gc$gbQl*&X*SeQLnh68;T&`V`__L=b_d5BrysG^1YjLg?C z3FdNxaXZQl%c?ouwuJ_jMY6-IwzbVxu9pFH{rLzj; z(r{l@bidM%U)p<*s z8Xry|HVt;y1~e$a5hM7qS4QP7gzHy#b;Xpr11s19?!@!967=*7GlNHix8|Q0c_@q< zF>BH@_`%TJh8`zFqSC;fN}6{Y1E3@)@k&@?hgo|eY#3ub?V_f4=(KAXh|RJEC2m1; z!Kfts{g1<;iXNJp3JnOLo}YJdbkxojuJxUp@1R+b&yv4;xw5Lt&%NOjegga{oq{8< zh|w^7z*ai^x^IR zw{41*iT6Z`GJIf`u$YmP7H`krfBza?uz-`MzM-+P0L;!`&AE3-NfC>WqI#_1GZJ7w z2bhv=r{K{04W%3!8@z1TIm32m8$MG9xq~wyO(Qbbu_uB(#o5Lt_4PHmKQZ4Pt$w;X z_{E72umh9|o86p2??LgGJo)ceA5%qFVnld2P>fu=V7Uc(*~H7?CjvbW<+Nn70EUHk zQE)UVQc9-v=U6*U(W&zn)I`j&^n!mKcNSAAGokp7{%hJN21?NK%$ZsN0g^(EbR+w` z84MFLcolFL@c0(9e4CzD6ejU)IHq$sdHXD?aB-_af~6$OhIdCOu{I*rX?8<9llUz) zAX%VsVELzGE_&DSJuCCq<$5}0mNT@-r6N&lL@nUp@LZmAVq$`<`d9$#aNk)%AalJ# zI6DFKHU4tOgctBm@f>{v1S$zP8nzbcOz(}+r*5%Wb9oMk#!lUDv^6QbAb<~z7A92e z2-e_z$jN~3loU7=YXNKbz9D?w@3aax6{5=~UolA2*Cb2nMY(cHPt1DLi$<8B3 zj!2`(dAdJOTh25N`UO~&AZyq>ewV>doF(i@+z9nQYLRrc(;dquE^X^=&gi!4m~G*_ z%OI|wm1a8|)m=MgCY7Z(uuaHElJ)Fj)|re zcB+N7gAer#7Za&P8~YD9|L+P9k(A(0!!V0`h&1RRT%2s9d7eW|^R>i%9%^c5VXGBe z=J|hcd_CgbhYKmP(KbG;6IXawoNc46Y_sqpo`o^5EA-D;$!xhWq1|0$n-J4z8}M>X zr&TGG6G7mS(M^n4kz9Ip&D#dM*t26DZF-2Mc62M2V&zISlq^GIc=XfH4B z4Ut4#dW?XoA^L$*$^P5+=tf10xaFUx`yP19f9PNZ24MMjX)fU9-6K!zQABu%4LU?i zB;pW19p>~blwy_fMl+GxF2sSrew>0eC4LYXO|4^rPGZgn7X71w^52f1m^6o^_d%pA zgGq04BW$tuUC%cHjbzwl=jfgzq`j1MSmj5b_y=P+&@={HoWkYa%+}*@n`1KpG65Bb z__l4sI>lrn2g3?zK8oQk2wzzCHn6c(W$zZXjr>w#RlTCuq-Maui6|mqqLngFb93(s z?OKyAA^~!^_>QK8}IB-@WVc~$?l_wDqmrd-PtS!g#Gl04VuuG9(4eZ3|fxP&& z{yg86a)&!>2L=ZA)N2LmZw$r0VS^iq*!l5w4Wn@!?)q6zj-tXsdOg9u{KdJ-T1NXCw~Ldqp5#Ez8eQFA7}RyQP_fkBv>O&Q1BG zwbzq3?sI;NrTF&^|J25FsqVEtAMD|eQYbMVSQ=jiEtzp;ZKuK_2wdjBar={j@wMKd(**01ypOnb}9En_a1wD*_O{Sk2n zHjT03K3P|9oTuG_39tew{$oe4DQs!}Y(Wm9Vz$dik!gd%yZ{}#+z)a8K3dvt?zK!f z!~{GV`J|RV@1&-t4wbO&Z92t-uZfj|L%1+I(H!Cw_ypNL#$L|=-$TjEUj;4 zm~Gerfi`rlbZ8sUcoh_)NjN1*DXGi(YrJgA2W49vDe2-Tw9`1a_SMF`eqr!L{2;z- za->1;+q`thfCIqNE%@q4IzMtWG>pgBe~cJh>l>JoLoJu#2W@k`sy6$yrzzNAayi0I zTDsr-;`Z-bsKX}J670f1P7|HPuIFKEM(Mj-b;~NO&YTNeKS(oN5X>6;urbT3nijD| zx8olQ1jrN3EGa!9uMI_8@*v$((hh~T#U$$R3bXG^kMGe*ihp{We&z0_l`{jh`*q?C z=xM6Hs53p?Y_p+@w)-yA@bEAY5MSWH#y;orO9U*-w}*r%j(#|yW1YWhtWVK-<}>hL zY?zD2Y9F$tNS>?j8mbFe+KF%&5WB}twSSu20^};eX1JG2{Z4&T;HV+@{ z2u78ZW*O@mde!j9fOl~j3GUm+gNL6uNp=>+4gFX<^e3Y1ZBqc(TGp7!AO@~3n(?cm zYZ}46dhE(})Z@J@qR;N->>KB89j#Vey0I@hjA+@$Nezn}6>yjBlZQJYHX4p9-=>(PLh?KAN6&@M$p;&D0roRsI4PjrE2`ezeyzTHd== zN21CuHLgWEdvVv`Wkj>Fd41NlHw2)4;6V9ik@8CyF7SJ1W8{F{V)WbIxU>ztyb%EV z$uLteL*X9FsB-6C`yD~tnoJwyq`0EVtDSFSd`Y!h<9K;KqvLI>(E%V?3%{RPk4df2QaRoHHLVUjb%0S zjpeA`%-tw!K>kG-d>TcKO${O9QF9znge)jO5T3%F<7+ zy_NlK7d+58MVJq5bG;AeM)s8dtGxJIs3_)OvWDtr(RzOEPsCg zw1uRF@gB%F%c#TBH9O<8x@FM&$NJ=xP~$&rl#}u%R-;cJV0dB^ehFnU3H2p~z?9W4w!+pVRVoa_YJyRn{p~qGe<;3oH+}r9xKHVxV!V7= z1eZ+^_7~C}NxVnUtf1gb#c#dBxpr!-uytNDWkDnur71Ss-F=2?6@lr!BSLT z{q}C&?5czbqXna6){uzl?7jQWy*p6fbB2eg_9xP%qP0NC(^M>!LI4?H#NB(C1L&*c=ADQEV^yXf$l zY`#FC>O{Gc{rzQny0nAyUW~G?`_MP;AOBj7)EynF)b<(6>K>AWWkMQ9A}SOc>=SaI z=t9j-(pQnVT;0=C(0r<+%RwF+v*TD3wJ(sus`~n%QQ3tYA{`~JIzhpzF`B&Apx^HT zB1f8g53%e`&@uRatJWH-BtkjC?xODMDjO8^3(WG$p+6D#_U4&|Bl$D>Zi%nnwg%c2 z4+DF-I4;-JCKQ(9?JwD}a|e42 zQrlQvNT8DcsTbp|;;|C!@*eA3hqkw`F)xWNMkQ97z0$R1Inz|sm*24Bj-J|yVAOhR z%%fnzRbO63wtn`?v1iBPhn#T0qZ2BW-@F;b{_wYN?+wnzrTi^HpKZd;d2Aa>#_51F zmtbumRq`kfaV>1nO;#Vt6zW~?Vs@j&$AxN0{3^VSS{Du!ooY^gMsd6M*?ZI%04{hT z|1Ftd6FJ?IpSEDu#(#l7z#6U+o-?!fL>*e6pUN<1G`m#34g+FETiXVx3Du#cCYurx z{3?eo0qQ2>znjSPN5h_M8I#+EP#2L1LGmjhV9#>w*#X*&jwlmIKJfh5VN&~pIiGa8 z!wt)lVH}E>`v*Ecmh_l4XVH&#cxp;NlXCy{(yAiSaTD_6X(uYg-kD)|WZ%xjb7r{OL3_PD8*1b}gO%hcJD&e`~yS zHqunk8gittam{kCi((QQt5X`i$?wlS`qJ&;`$G@PlW3?;^bWmSHJb<662s0tr$J1d z5n`rb##r&ALEzqOrkP=kWN5;c#Cyo&@`iLZ^Y!xI)Bg0n$9^u0FiN^_B=yH2Rytpt zxINnK0pktnWJ9o;Uuvol7FZOam2Hlu;rttou#B4JGdK_ZZau(WeP5)V3iYsPGk{m5PgEUSqaLe*@!9wKaiOis!F_SoeE%MSdIo)H;yQ zq^=xV5NO$~pg#}$(Pr1sb(h5`A$&!J4@!0JK!Ib@M7*u5n~}}4Km~iR5^HEJS`_(z zcih|PS`;4-NLJz*g3TX?e8$7?z!rq{n2Vpt~Y1m5+~{grCT9l3SS&PZW*Z?=?N z{VpbdEJxNJ4SXM_6(5_IA#b4-oD}ZQ==YU)rlVKVV!lJb>zOkH-T<$Z6<`_igQ3w7 zTyW5N(sw2LJ}OuK)izRw8P+V5kl=Gtc`n8*aCr$&%~%{%L|+@ZrBd@3Ie9+gcwC@ji zmMXA_lna9!yhG>kLHH4DqWN`J(gefiK!v?4KN44y9zPCvEwJrzp_`lASd$}D^@YMy z@WWmp6#y|Ycy?33&jQ-j#QNb8^n-+pV;QEyaui?}t%1vAlM&cVf9xBgdhuE>?QW`U z_jPjq6{8`C9IiHmVU%4w8SN;0t?U`Ej=X?~$dfup%H+1d|H^EBc;RKyjCl!Qj!o`* z@&whr`7dCt6!H8Ld0XX_gHS;-Qm{+c1%eMaQ#6;2* zafVqr+T1)?@5paGSX zzd-4>{Gh}dhL%~L#iWyTB~`RWt!#q9taGLT{9E;$`8h)`qA;)7jC6Q_umX||wE`6& zKWL?OFxmMtgk0=KSm32>Gz`#Rj?cjPSHkrkXk!#T^!%gd}%e?#;!{qkHr z-WkS(RWw>vm`zoZvl^EYU=1*~dkoYu`8Fn%oHj2w)I0LO zS^(O0&ls^93BWcDKjQSFu3qB{A6;3+er$D1*s?$b9#OmuX%t9vi0CO`(*1wEeEwW; zUlcA?V$jFGmkM5hs&9?O{6ubsih?l<&umX54(-?Yg|qFKdn-9_zqE^xszYBr)%OKD zDSvVma;$(}-`#;{f80clkk=-g_w3n2mP~hy*h+7+5t%du!_ejBHoLFxXA>83!qe98 z;v-Sa;OsRcc%Dr(Z{p%Q)W4YmGpUOlaHE|_WZ;89453m+^S&qM!+LY_1z`sjK?NV^e|~z0CWbdVBisF_lLg~WT6Bi6*Qn~u+0#op3{ z*!zjbr~FH}I1H=8Lx6tbf7iwy>cq#`24j(`$dgFfN3`!Z9o?>V?b@|ph5!Ej{j2z@ zO)!ccR6Wj8s%q)6A|_MOIDfcPqrwBhCN-CskPnf^!uXPEJ?+pas9&BvG)Bo?4(MK4 zFKT9*(Pkee>Zy}GQwAxAifA+rAsR9Yp$ND2i8dE$j(}tjJJQAoz5{p#H5BLpv^SjH z{;(-q=j`sbr7w8yg%eH^de9*5J{g>mljKyK%|Z9qv+M2>;-Y17gjkTw;A9BH+)IL~=2$z^k8`7{jrYDZANsF|atqya_oV)^zIlIh z+n7n%-z1@wf@`-t*KOy4Qh{VEmdv~fMc5DNXoW=A{!=^qgkJN(=(=CwW`6 zZUV8s$ng+3udvF(q1l^4D+@J+??S{P+LA4qjCB?pxf-MWjs~7 zDObM?mivTP8VB&#q?VvlF5k&x!&-it08nut z+nDYh+8&9X+_STLIIXi|JD(u%%0%=b`y>vbOCL#MfZcpqnu;)+6U2!&~S1u29G%F4+d1UV&IBSn!}E=V(U3fULyc@wcy)k|r(~x2e60&d&Y> zDRnb9(MZgRA^?%gO*>QfA5&u)YrxnWg`pN1CyJqp*e(jwg3Rf&Xb0WDe^aWGv!mhN zIjJ|0v^mDlK)N3WGQOyaWNjMK&2Ok6w&gik(np;CW{|6tO_8$aF0Pv*dG z=*ltqS0&|Tdl{~1BJx;w3m9ryk{|Ru?liEal8$n9ffI&?et2w{uVxe!6tvk98b)l= zMmOo1*i!m7U(WaMbT0jRZ9J809r(GzuCi_?h|WMQ;VSUPmC|7Ybv@YPm3TFCHH4kZ zw#6K2j8E%wK;}Ljcq}%tT*T+`vnV9J9)Z{c-;z*>i`66KeP&;Iit>;agVu*6*`pNQ z%e3sy7d=Mn)>p0WygQk6YI@1_%9T2jRE*HhA&h;5z2gqNfjNRe`3M*VKqQDIkkH5o zodMMMYkr*W)h^n5+V>L?1*AS+gei0sNHNL(!Qm5(f8)=uU5sFW4#CxkajQ=_xxNbj zF+6|Gqk!>P{5zsA?m#98wkGs)wm$wPxrOIE;8S(uz9k`fE4Zo%N@4cf!*YI!SKfk! z!pF>9^~v!?*6fr3y~7|+_~t!TQ|nIzESw86e<(J3GmO-~nxFD`Xsd>iK}jqgU2`$Rt0rWrkBNRHB)I6ixK*wccERbJzo$tdt&Ad_`S zzpZ?*sx!Bi)$h@xtsrD?!}&LYw4JumyL4_p`Y>EvMD-ga^(XfwBpcb6IXIe!(qz(P zGFse1li^hsd`6kkwl`>2<#2i@YxW{4xIR3ZIoD4P^aya~m+(*4J)H85eJYlvCt$$I!zXqRz8!eZSiKfdNwTsSqdjzNp9i@rMD`COGDzF_^zB!p?dBdV2 zF^&Fhi;@_5k+ZR$XeNoFw)A{wO1 zz;d+d_z-9tR^^F)2@89qqkJ_zfq04F9}n{+sVh8sUUWG$m*MvTW*$RC)HkMk+wZ?? z%ROgQX_-YFz6P2d9Ae%|t1EwIbls~?uv}?^be0DQF3AuleZbJPLLAEs(4W|{h>r!Y z*x1B`4Mb0PPGART>SuXA~D4$bvYby;x93=Jpc`d8Av-IUmEGq~9 z8-(e7^MjK!l6(0H%9NM0LhZ&EgAd3AiXJT33<$g-W2*`ew(ilh=ccO{FW)FHU)5$% zuwzDej^5HA5~x+S+QFw}on2TrnH$K@7NRIe3+704o3_0J<(?iIkhE_XY-qh$m|dwc zdHXIlP}GD_!_Gp4hSs^I@KD{cR3{O=`T2FgnzGM-+Czk}wjP`_Ql(1 zU}V~D%@BS6J{`C@Vu@GJ9)WTKu>|Dg_B@gZ?#~jm3z8#uZ`VH#@QK8nVf?*t_Y{sQ zO>1jGxy`!aqYth;+qk)fypT8A&~Og`g@r`?U}Zr3WXrIDEs3{qjR$NFx0(&m`ZNCBNP7fXe!7<-$1?m>EK~ImHgcjMO*@*Xx4a!;<0Lft z=7wtNLXRJ5Ngod&9sm&fLCAg;@2>e-s&*-)Bk4?gb+x~E!t>|PhoD**C&nNA`w&{q zY4{9OFy0FPyu3UMK72E-{f`OhgLDAMRwm2=UZm7-`-m|ZffVm2y-!(TEg`(PZwFl&nFl#7#VB1mF58m0^39WHON)XjH!P6m6G~P{XQ^NaeNIMj^F4 zxa0mPkWJAk-enIGY5+~R>)lNU{?1b2V~IeCpnvtQPv{~03;itV`$QsVlYu&S>KL3V z0mmdrMRM_#Z_n+{IMWlEJBP%}m+v3#y?;s9T*4|q;p@`hN|&-2&f@hb&;kZU^ zAe?M<$O~v0gj;h=D!S3ZiLO{u8PPAq`i574G}xzI3t!0OfZ2G6v#&h@Y;`P0g zm*TH#3Yi?d1+|oYo>|1-?k7P{O(aF93VLqbnYkQrGo^AZ<4Rqqv!khH<*K*|S1TZ6 z;z}cHG%tAKw-lt_IV zhp296u2zcFWPoHI_-_mTt^Hr`=O2kf2n_bHAY9f_EOF>7dd<-aPkMK1JpqJqXpqB< z#MR+KApuGC>&kEfk@jq)$~0V*3J(d9X*j-}gI{a18W$j2=r(2KDEk5%W@VlN0D0-| zehdWosECaPl^*L5a);$qMUs=0*TJ0Qi?Tu}@UpFG+|~udGsbZ5K}^g|%z@Tu1;dub zS{g|EXARUKHmYVp;8=*>7^k8_IzPK#@|@1e!m?l8Cm|qw(Z=@3_)Y6WL+@C_1Izy9 z;GMcTdtYjw2VtXR=fupOaxbX`$fXq#mP~k{G2pRzZ@3@$TW}hJE%G<=T&di06mUgb z|5gO@=4y_AJYG>mL#{Vt+U?Lu4<89nv*~qZ%85Bdpey2a+w6TC|Chk_o*p^k+qaLZ z2bbfCi1LCAo|v>RjJE$Bl*3S}1fiJ5;lm*VJZe5k^BMNPAIb&VHnCpTLc}WxeSrHt z2`OiAM)B-iYXcHY5nhsKrxAHd(7MRg4<9~Eb>#ue1qxaR#DV6A+}Vp>05jTGL7|AQ zn+9m0mSJpzrU?^l$eACBT+0JANBc++L%oZ?<~ z9sk*{f;Jm`B4m8QKFaW1Ji2ifkjds5yWi)&4BdsVYiI5A_Z(T*YJIrm-~hz|FWWHs zuBx$-0rs1KDUUDhPk5A_Rbu}6*AXwni7T# znp{@+SjD}N&#$=d^d$)017N!>EGc<7ongfUgma0s_+I^fifjv(UT8sJ0#LX#boG5s zafYMYx6ZZUpW-89W3?3S`l(mViEpmr^hsv&aX2z8nfL1QgTDS%+7s+wwtx5>Ipkc( ze>f(H5D??l?~-O;S4h`b@^38Trpp13kXeyaV0nXvwxZZA?eSyOwy+=+m6G%)_E~u7 zRRF+{1D?6(%GJ89oZtxXha-WB9nzrPea}B9s+kuFmW$gv?&;spHRQ_DEpj?0G9~s( zfvxJ!g{8MqXlJ`nIMF0^e|-MQFz$3z)FlI?AUr*uhCt@6M_w|4LGXt&+X^0V^Z zhrxcNsbsEuL&lLm(29J{I7lIHd!gw#h9g`6gpcocsyW!e-IIOU@DgVHD)Wv_{rDgK zFWMGXD#_IuXBjL=X)U_`hAF|O+cVM_<$}IjPrlsuaLcwgB->_-#7n`#v?~b;&T*!n zHyy-l4;S!x{US%=sYQDBi@d9TGW0Z8Jq&;}V)(jY^UGGES4Bh8o+k6zK}g=W&VU? zfUclX0-RY7Tu5hJ|7j6!z=Knpksj>}$!YoZe>#TWbKHNt-yO2{8kER8d4Aps#94^^ zO-!k{e@I((>XChb4+#x}*v5eJ1&zvAHuYhfj9z#c(F5uBgXO$A@jzyM$@>w~7h(Qk zf5pqvMCI-EEo~v(t9_i*zfMsSD>lteNwW)BY0rKBxIg&cKT)~O9X&GE+4TEMzD)X> z@Ges5>FgOo@%A*?t%n}5+E4K&ze&Bi zf-Xg8i0PAnF+$vq)s`f>YiZHr)APqWj4|*1*m4e^H=>Vf@I7M8zkwWi!K+Acr~nSY zkeGht$;gG`b~h%ZVSq{z;)5o*XZveNT!TYHg-*G@JkA}86V@8|73mDAu?8PLcW5N; z+r&f==Hljh_6&7oA#a2Son(xva%te82fi0HDuLkW!)58Sq}-ITwzd{mVf>r%?GzHB zQnzc%`gkjDY&r_p4ntx8|MPrIW*Nq#mD z#&kk7Zm;(-z)l7QKdIY8UeN|e36%qi8~JiaUSi3_F6oazPuNVL79)`fdcP5l7w>hO zM@g;!CDukVso*Lzu&`)0FwPn+#DB%(p>SeO3akMPMiBjVN}gHEC~*HP^uUDO#sA=M zCN`JfgNVnV*)7f;NE!sOchRa8T+By^A;-pzQI`71+v^#fKoWFs?m6~ksp0yaq^BHy zkc0Cyg+F-_4|Y4Sxe9Cn{&^(yiI6R>7Q$>76@DY+MoCumZf}v2xHvsx2ng)i|6%;RE$;Xv|ozC#+}M8j?yBZcX-E>Gr^x&9Uuu6yI_VOLa}t_ zE%6&$4Y;yon~F{Eqgo8QVZRwZffg!&eNpwuCezz8P<)y3{~~M4Jn9gAVx8SP^hXbj zZH95Q9p_r}OvpGNKYdE zWXt+K&+ESL$M2utfA{CQ?u)nceZG#@aXi-nmWZHO32H$gij9qpd~Yw(1qS$TB8=Gd zNn_m2kj_qR=o!e!)^c76Uwap=J71KrZA&5OWG^o~K$A@bP=5OlJ(~ z&90G79T~!6GFkA+(Bk7;A-0r3BS+RREz7bajVyhgHvvi#j4mj2H3_9+i6E?q?Fvv3 z&GR`Mk%0uS#n?3fZ9Y1@s9S2NaetATx3z7dJy7Ol*B}Ud0wYq)*>@i;sAQFY#g?9h z(ek?u+jtB41P;F&D{^^TS#LoUlQq`Zhe~?W1ApSxo`gOPd{x)0UoybuzRQSW+NGnw z*`lK9QQz&}Ny#}hfFzIi12hAqz?^oH_>)23e^iboC3Aktx?_j*F5SJJ|A57BLaick z&hs_)vF3cpPq=B4Xqo@kxB9OpA2T|Tuh+7nj0BltHCu_(dyt(2^ogsjz_z2yo4XKw zvW$&!#0d;ef;{+Q$%hcOJp=&*WhC{b(9d^6#%1jNWdvt~9DWug-1DwfoOvoHW^k5p zaG-bhQ%tSJiZ_2W8x9Oc)tejT8hyfA*#i2xCsC$A4uS%8VAw8zQ0s@(BQSQqcl&3i zNeNh^p?Y)OF8K>nVX+W7oB;5MD8NMsAHD|mN1$aL1WkaG_zw720sb)P#*iqk+;&y# zSmd5b$d>9gJfS-oz@YNNNtV4g`|~Ku5|Nh*oq5YjH3r{DL`o_2LVI3vW2VPaKROJH zBN1k{wn3P=YayA(wK(jF{)=c_P~;p1X6g6rA-xlOu{(|ZkKu%49H8-e`Ful!e?cDNC-QPE1Rzc zPSQK5mbk(v90IT$m7obbJg&c)wsgDBQFrk$S%LmzoJA;{u!`)_cMuPcw9-`xsV>Fz zI^NBb)vzUHrIV6Q9Kqvh9B{ghfEs0i+sN`J7;aG!3^*VhYw%uU3p`EIPdxx{7-KXp zvmpiTJN%)(usA)L9Ivo0ylHmtXyF%75Al5dh-;Sn_ng+c?gM(vv6I5Od+^O2ztJsF zSW_oN_N8a;hgb!AG%o3^67(#Cw8@=lJghTetx6Vn*QJ=x~`TxphZ~xiwyz zx8f@iZ%J$>+_bb~B{sP=Y|oLr38@?by$Emgs36TgZNK&~O$gu0>^58 z?=V6rX3p#bdWTT50Spwx9^0|~cyuS{XwUQ+WM3(N*0!U*uI}LJ)4hCZg6srzShY5* zl%(tf1p`@i&UjVAiBB6=0Hvs43M1V5-@p6)m<|FdLoD7wUX2{qAjF>8{*g@@0=1&Y zWW?HYEbjaXi}VYz$FDIT%i}V{AtU<|Bj}5b%Se>HV!uwTVj)DeqWKTP&6=G{!+}zSj82=ucGQFx{^tZ{dPrH4)WKx#~PTg8IC9L%@gX&6*ef6fWlyE97Gk+uW&7h zn;pT`L9p6E-FHi~5JDs3ZtLt^a#ktSXKS%=9m9xN5b(GVfdqqk$=*1O@qXKXpFev^ z8%RL>oHUqAfo#ZII-Wf!-rM@pFDK{d3h9`DfS+LwPq#JUR|Cy*qLM8ZEP@|*iS5SAzPf^EJ$-yPc)-PD}a2K3BSE3v7RvxJI*IxQ^=|4XznH z(*#sKRwb)v>=mf-TqmE;!)v`lPRxWF+trY{CxaPA9Oc3vlJaD1_3lIgB>Tx zrz(+j$z|tcc^$TugwXwvx z!rb^d;%C2(m21oM(!L{Cv+}cNPbo6(^=)VJrm#Fnk|Cp;;&_1AX&Z*<@(o-!F0ou@ zZX1H$xuP8YiX3tEpL$7{xxB);H|G7vD87;J{tnbH@bBzcnLj4 zF*`F|d0}C0K7Rh+GsRSU7Z-W-nZ!aZLW#!d0`V5O6s8hgEk1@i+EsvJb%z6X`J2vf z{Z+9epYbdlXxCp~hGRL2p#st$m^jZ$y}_EdD;7puMEmXJxR-2c_(OhR~Hb4Ylj>JE; zK*Ce7jyQXm?qK{T7DSz?{Xv7&P+y<;=8a+NXIEGX zi7@OY&n!{P`ik8_=*=6TVWeDiusz$lB+#>Tu(?L@BN9`%C1X9Y(c;OgBil}mP$cxK z8vt{PYFuIT1ZG1q*#m*Ns7=q44)KP*0#G2jlA8?&>l9Aorae1N11lwz+52^bI#@3G zkE*-BtJT(91&0*;IW$e2-r5YV4wRTZ_eEJA?-3HX=S&rP!4CspXus?h?(>{<0TYB% zuqCa8f6MIhHDcKS27{68CCFE(e2V|uD@&{^`Br9^XYsVj+hV^XznYR#N3W151r*BQ zKkfy1_v>kEGpP_2aDmo#G0OMfg7c2o#CC`>2?ugf<{+aVJxe4N3qTJA@gUuP{rbh+ zdsjuYQTnv*q_963wYXa1%AM3d>OIWHyAGUorp2YRGgI65O8KFJYm+puUUgPn>>BvN zc%kam&Q0dMz6x$?kaIdRFzz2+NuT6+@OPnt=BnJotv_jQT-M!ZVl;B?d$**RYb7I1 zOXi$VIVbt9V#VcJs^s(jV=j!kn>y)jX646L;*VzR=hQ!m(fdxllEzG-`4s6w#4W9} zfv%;ywVf*@2LNzMfwoG)XMOlon3E% z8Fn zQ!a)R4K$Rb1lh@U>ej&zjSzVzy)yq{je%AzJ6WFwq5aUCA(96RoE4BJWT9~hifCYK zCcp=XO_vzjP!s$>JOz+FPaKJD-KPi`(u8oU-p2kd!iNBI3BW6{l-W)z8AUxeHBZR|eob!mk1$gTvyK0loGwT(09t!EYSA2@48==qb`62p$eydhTM>dZgzU$YZ-# zJ^%>c#*B4p#hZom|m@=iLrJ;dvl6;J> zO*Yqp|C%MBg11OZ29C&jJ`B%-z|A6h*DUZVjM`WNhTQ{f4|o=_fsyDb(dNz?*|sIz zjnmA=x9s@3LS9M3kpBx*wK$={tc`VbZ?S^dXMJJc*EZ8h1fppVtEOQWX%XIyEO_tX8OuTdJ?@UE?0z zq+XAX_T1lG6&>C?{w>7>?e91-IFsnacjP4;gESh_&2>LHYF=&T?+#D1J)y6w)78I_ zA>Z7;O*Ow(QsW@BY}*aFt1>GdN$ll6nf;;R{KB3Tt4ED(X-37hLJK(YvozT@ZdYwka&f$#(wT}SC}NsRr2)Jz0oRq<%Nkf)p0 z@!xED3veLR39LU)NzetZtMEp#B<_A zWI<7p$ZKPTAm)0oiK@ijvi(8w?>y(*738OpUBo}OzoVn0X%k!4J_*sh!(S*u%_t!B zTB^80(sky}FlhJl8(&}^Z$P!1lDw~p^7|=FPgk|)7BJ1Uq@=<7zp!GU8NI9DTAbL8 zX9+YHQ$L?_yH0uxT)c7ZFB}BT*k@YS@*yiQA}%hMHyNK-8M~yEe^ujF<>BKSzyHAk zV@C}jfv&^s?%s*mE@S0V9Tf)J*ygkI+De2e(fk^4qV`2Tkl2)*$BvV7~N?3@f}ytwc33JPBgyjXxJ1W$-vLp*SL z%P7}BFLwy#EB_&*n5vIA@*{1qj(@vX*;DMjRmQzGR2(CpeEd273@7|HingEu3;~^o zo1;V?YdN`}|B5D68@2GXl7N_LCl4?6Hu)RB=h@e#q|@k_npl585}b zMkO~s6RNqgRXI!vTSKp}`Bf>)kM10`YSL)v&??gnS$8fqG1%84z_nB==f$Jg`6H!R zr88(nf4K40+XhRoKEG`uTAkg)p2>1Q_LHYPhEU9L`*>Ag&k)W;__b*ruou3aD;V_i z-kjngmh&n1RKGdCFW$!Ici084!N+Ehk@C)H3bN22hDH%kEDrttr}ho+=|HgPhy^web?Mfiyw8UCXkeS!vnpL_3vLTm}3|` zc`2JFKi)x?02|+fR&`34tekZt(atoO$S{_+G71`9=Dk*l>P=42x#Mnq|6}lDrjfY- zt?Pd*nCkM5=DS!mmA(e>16%H$w(3T0HJjX7Vrbho7``h=-mIJ1f2ZOi=PQ@r(O-w2 z~pWU(h5uGsP!aGyH1ipPzzll5_SoTBU7=Jrl0qO)q1k%g4jPp^P zx;36~I~J-CyeLgC)@-q_glD6q0k48AfJ~&H+{aaV_5-!n+u0}3(?7sDKr`#^Ol0hm zV!O&D2!$rvIKq$U`eJnG(#`24Qk>VV6Z<22Z<~LB9se+JtWG@ zXiooj=^0afaKh$55~ZdS;4&h7WEcBhYQw*y`yvL%Dg!d~S}DSL?kA~D8!$1Q+CD~a z_qHhWNY!&GrtLnlAuMI$L#BTYtS#8@3lrRAxm4ymPw& zdhO=0YOq@^>ky`Zpg5i>xwx%>=P|qV0lcF_0^&q$%&`YhxSV)(0rUP@)F>&eAtly8 zAz=0uHh+)ZQy(`1)r$lTi`KX;ZC)}+nq>mA3cm9$Dhe8vrj?)O+q9z)xv>=w?LW06 zpab2P#0n?E>!#|3WKug(!`JvPv=0;Rd=N9RJq5E$5MM&&E?%dIeWW(X4*@b06g0FT z&|naGhg5BIgaV1}G$X#ayZQnRSXrSYb&Ckm0C)_2e&`x#L<$nILIbu~f^@+Fj(X>u zq0WbxSLuUD_JqxbUVA;FL5IjqcH z^8~(4NkapH(#X65U;^whx`z%K+QrECbIA8<5`!3)RqqEbA5+ZIg!>PF7^t64YGUj0 z|DQc7q3`+d$0P5AQVw|5zeO>EQ;38S7NR4Eg&09NL39!M_E@|K zD^oMo_jBbIMG5if8U{d^`o8EwSNI}90%w#+zV^4W(R%PlgcFl*`G^-m zbJ+UyXbp`cx~mueatw<6+dky;W8XDs2^eVrjqi&fj7w(NIYuP9ll^@Z64D4;7!i(y zaoSyJWD4hR=v;4` zrv)Y9ZvxfZG>sU5LxO@Kuf#A?AA}Uo=9{G`^G=n3f?X$p@}pS~lTf#$VcDwU_U>@; zSBFpCg3yTqJYfyiXB6lPRb{o=I=zYtA5 zWnv><)n3B0ih&f`Nc)EC_yF%Endsvgx=NdJ!Oy{prnfQ3S7e&j43vFLB zi`i4Dn3zTFWu~UB`1m^0)yn@p2(JEt`~~t1Kl)LPT@OjFwL86j28435dkW0HvkyJ- z<{cZYiJ7hu=}D00XL-hoQxE_CnqU%Opk=HOcin#-@}`=)I_VQ9zGQn)Q&Trp5{=>h zuA+osA@ECsEiTXq>Rn+A?q!RCTvNHq`2FwCyMJu0u0Wv*|JZ~S>?JpM_vi>cY@9K; znTT)c6B?H&M4*b$yb~f;4BkF>ZlTM%>_9 z)lX+oZlb?7-alj6JyX`J=jQghW^!B@9+4G2@Kj`AW!{u`h&C;8KpR2u6Ux;iFF#qqvoxJ-K1IWFr;(9^ivoFm^)l z_4xb$^J{>_`~3pErk_`(mBxtN9hDp$wS5m z#-*@Fe80p_T3WHpR(A9;G}J zOPYPq$B)!UZr2+90L|*VpC{8ADPw@{s%*5r>D+4KzVzql^X+&PI6M5|H-`YoABPuq z+`_Qf(zMvqY^1IAx}~bQ4ob7A*rKuJ?78hfeo}vCOv3xh{b4_Uelt6$h=(_cg@B))lAgnt zA#^7=`d;eL)h{0t^5pe!6}E1KI~lCcE_r>^r#cAR!znudIFSK!*6r>`{#qI79RPSnU&G~6(u}p8HsQNh1-gY;%Njd$sql2@#e9%PA z^6Dht0XA0W$*Fs%(|$euQh0t31!)eZ1rgHorle=r+xhdYVl$|VF3j%~QR)mf5cu`h zhTb_xN2)S0ybQOW(|9S4_a-Y8ryo3p{+$`U-d_6Um;oR2e@=hKisJh!%8&B{?{l=> z?8E7I*5#%Cb$}ooPOs-pwv0gKX8GBfFc3q-q?D`jdj>fdgun877s9D23E!RrcWSah z9xh(F7wFgMO~F&u87^Xoy`ZL+S5N_7wFZ<=${Sm-nr+v@*;dhYQCv|Nag^YF@*-1| zo=E#Hqz@*+F7k=0j&A>cB0d^fHEV2lzat`akL5H}+&oV=If+=d(slg)`P{@DIS6{L zb}r~bK707^qqRQhph>w;br6bva;ei?Lr%*MC8oh-{s!#-=>42pGI0$=({Zf9gg1PW z7!RXiC1GhELcFWF04CeY0tiSRIvWFppq0Vx8mEkg!>)r zv>0lb_|8;fm=j0-YWMg?>bB!sWWdvt?wGA8UP{{b7K133F5ba294F5*)97{c_uAQ= z!}znb6E!7Kww1mj^1y8X#G&mDpTKU) zUUK~WEW#80QrPViwyCWjwjVJgk!{oXETkL!Iw8kHC3P_IV|s566jyg=Vv7DVi%&PWCeDx%`g=Q)-C@Q7L>eY_v>B_+v@PSc)+Bo@un@QLb5mHU}6yMX)L@#^0+Zok`fzd)GFNaI2^-hB^JoUNq!>3(Cu zpKO5`&gdp5Fy;SRk2h9h%wDZdl)Gd_tbc@5nqtq5Ek6Lr5TQO9xw#G4n5|+sIfBSW zY`>`o&fNy(AtHWa!pkIX?E-3y_0(v8pl={U8W}igQ;Y|Qb{zfwQuietTy?OQA0mQm zBeOD#i#tIJ21u6y;A27;K}3W-aP;#E@j_TNMdcx+nzcjMkGd>douvD+088gcZ=n~q zwP(e#+C`fA=reybGOxdl{G|3vG5gzgcZL)MIY*bdd%hW(_RJj9FW=CrW}ib}_~ZIREA00v@5t3vxHN60HX=8A2H68zLbd(GrJK%!Z7~MBawFK2(;lDoKZ7GU^I=q&Lz4d%bw67l)B;UqBu=J_^R;7Is15R??d>ljNYH53B|Hmxttm zFb5_$2Jd>)Y`{(I1tgm|L1H6+5Tw$4EM}iTTE_or0g4@M(USV^us1wF^ZIYcSR{^a zRHOCQGve4QPSyAuQ=dJQ>1QQ$VJ|MdbF&B{plu|D257yx-Y#gOPPeVf!8+UzbM1hl-j(`>{wDbmGT@Al$=H@b)+E;6Q$>lD74Bmtx z-2U4gsnPOtb3SM?esCSQ3`nC#+`kPkK9-5RP~U-hXaF;2XSu3nT+-7B$TaQaW)~K? zi&=|l;!odJRcl&7rHt0LU=|3Xd;7yR5Uv-{_m@)|-o}qvceIEFoq=sWsiF@;D~nvR zjnUoELyC-Dsn_$3zS>5=d-vO@OVu0yZq%$is%p@_X?HH-YO&)cYP`5Bb_GjM>`PS9 z+jtWOWeqvr>}x{plV3po0tc-#N!n|UHl-fm8nM6}K3bEeFmB&zU&!d8)~3cEPi*Hx zT07xIht9-tHa9CvczMbbNBW*~c5W_@*CNUYArvIG5mYS?QiC%{1_JP30vO>b2oZG# ztR?!5;?`hC^~F?8sDT(sGf2W6Kx;#~<(LEh4^coIPJj(aK zSikENJKz1R21zXqzjW7N%v`c?l!+UB(wQkVn?B#MnYTNTl=3pExvDWZVh-B|wG-QP)#@=~x9&+ktNSXei@ymx0{TC!jwb`ZW^Ow9 z=g-YB9esdg?~gZM;`0MN#8m88k1d;ZZ~$Vaq9o^$xleQWAy?xb02O; zNWC8*3;~oIw$pu}HxB+>I{>oQzsvesmC2z)hwd+343zRf!q8dM0rouugN##e*{|75 z+j%gFSu;GOMEh*R!MAiR3J(ico(UAKHifnY`u4!yi;z`=EJcY}Zc=Y8 zc7T?`J(n$$K)8@$ye{~0@Zz1%f_%H&V*fI?0z$l<)dDSYl$vy4eXXbs>39Zo(g&a$ zse9Z~(-tXU<~ zxmWSYjgte$G>Us?`J5_^cEzfWMNnAbvl8imi?_j!2)WLfAQq-z`seBj6eC18bbiA% z=q(O9(61U3AoytzeH3I7KIZ8@)x#;4uiZY5-dkYCs?w4gk9~w_glvFb%Bt1^Xvka)8UNA7tQw zCs1fSfdZUmxU&+_o=h3ywIi(9i)Ed8$w^65qvsE3UsO#o5Mb05w`NWvRyiQ>`LK4z z9Yljr&1%N&qQbro^D0*{X4=Q{hwxs95aL28O85PFI?SNPHzPIg_Vw+#**!;>ULSs7 zl&4n_?(^k^gp+oobzgMreh99Q{JVd-W*(71tXa?^6BH%5|@;AOMMmze1TaN z$D@=H5AAD|XJJ_3C>z=TvvB+WIC=4NC~)sJ;MUan_y_hN`VaN{p?B192!7bJ*4@~c zUgyktR!VSL1lJdl5ClN7#=7Jxz7b+kIRFlSM9dJeL73hMZ16ac4H)_lAxji<-YsiY zLuTk!IH0bS^TQcMEFBvZ_Jph+XpJ9AG6yU?_&T18-C)!@fKbn2vyO2b@-t8|2LRKj zVLQcuS@9l%H|Gus5Fi>o}6AK~FGJV9Vb$x?llc%MJ zvgqsLn&XI9zGv43Rtc$nXWUEgv|FlsJ!3vh7E#j^;yyGulFD?TgIv7zsLWu~5rK?v z)3*!rT}PxqoL@z?5n>J^oF=AQOt(w)kx7MkJbxU1LE%`O_dhEEC|!vpH;lDH*FG@7 z^|TwomGu}S)L%PZyZrWya>|}pLkAzS+|7ULy^Um=vnaU1Y&j!Xvnsej{w{oWop6lT zR0r3XB;Yb?gSDRj$dSMu)YSZ^PsiX0$pIAQO>XD=ZcN{wxjER{i0jzKN~xi%v0gfm+Oi_Lt6<}xe*Zu4j71QTEem`6~EeWyhz&A9QN;)o@ zpRG%@0hmgACO$o?1nt_X)pEcAJA2=JA4?fNw+O}8e9P%+b^MSfOHobi>?RzI$YZNp z`#i9@UPVWD29o4?_sXAT8gX3lo~Qs*mjMj+6g+saeR8Qj6=Ta2Fh?uP%j$sOAgOu0 zPyof+$t&LAsIE5RAEY1}@UUJk>+3gfc3k^Z_CO&=1nbo~IpKv*8jJJDt*fqf{hL&~ zJ#Y9y*{k7SzZ5}*nfNG4xw=Utw_9Gw`=W(6*Wk1SBD(4u8Z?nFg-;r0l$Q>tFm*Nm zpC6}URcC&DTut6UjOqR9EjHfwQa6q)ksEy*o}5&YPY$*2%BpX1{_{NwEDj!-ys9+s zv16*^hde#_ZNofsPhE<%z9tR7la9e6UnXFL?3O^5kN_KR0}$>ygG<5TT~jgt~F7#k4VGu#715z47$UU$JIROl)H9YPCRmms`S-)kD z{;6|nJ);1b$sxR65bt-wcJG2cni20pcNz8Nm9T==EJj{LdBDrobyva&CP zK=_+7po>1=hgVYH#t&cOhfklhy-Jg%xD_-sLT7q$b7|SwWFOpzq$xElK288W^R2*a zJCequkpwG)TjuJRoAHNMsa1hkWLe<|u|C@p5B5`g&O$t9;;EjI>FmX5W1q#Z77Tm# z9Qss7OR=p4vE7L1Z|X)z_J#MYxP@lmWP(3_RnhdqDqY<@j1Q#<#C?aj+Mjs}NcRfbVie)c7``E1OwKTF4$J!`*o@Tll~Kw3an$ante zwBfXZpaAfrX;;|mH9-&VF0t+H?(X}k8sGc3c{Mt1=ay2pA2`h8XgKGQnN#36cFk8r z%9Yzd^Rnh-{HfUBD?SWs;a)R~2in3k3-@jO{#-5Px>;|0msfs<{_CmBRy?jaa_(VY z|K<5MnLE0-&!4OjoPkc~QkMtO@{0e&)k_y@tLX*xGBcE9qOLzcNz9DyHvriEQ&_2lnI?ic)qLFA=kON zIV%)1f!%vdF3sPDIvBDGo5=Bqw|go;n4}|CPCZKaT8{)IHh1l}b#6QRH$yXZNBM2M zGo2`AS?YI}+d$ArcBf;(e|0Lm_bhESdfl0OHgM<;@+I)Cg$8QLxEW7jQ44vuN!AzoL+ zg5h9?L*OWreI@{FZ%&(Xy!Kvqk48FZC2ai+^z=ywwUN>xj~CH8pl`r(FzXp`(VF0u z`_*!s61~?)n!bFAB-~u-y;{H~`6VR2PKXZ#dPb zVv|B>m-SxCzOc0PIQK_v*d-eQ(S~+)(~lpq$Q3vy;J7l6y~O!LsQLBsd4^d=m8VWi zfh?r^YJN(sTjCO9$Ppae4v<7v2zwHk(Qyda#kiC*Tem&ZQCufe^FH#4-&>bx%F6m4 z{HQql0;flZUOl;89aR;ckjJX=QaMk8aPcNu#JQ!_t#n(L+(KraqMDi@U3*J9*tO5d z-N{Tykl_d+bdz#&P+Hfn;6FY2V-u~84C?Mx^W)MxXKGHT&Qc?_0`^Q{<{)jvgEM2* zG#kSBkwu}OG<`Tn5~wa#2fw!zefIFAo>Isg4IwDm+;P;D*2XHQU+wzCFLi%EWX5*Dp_a6W9AK6Pu{opqtYb=T)uxb~B7CY+SPu z9(d~As^QXiz1-YZ_s{iH9^Q1n`%VXm+Z<54RO%xu&GzE#7foF)qjvG~>T*{%ew{oz z8B#`9k+^UdcJYD}I5KS2@OXb|>6TrFDOTK1@|DDFGsHcqNDI^b{Szi$&`_Dp^#x}n z9lSjx8akX?P*R3|tf*qm;A}V2psXNcFyl-vQz>nCgWs1n`h(oBj0tWJOrPF{9JzbjGs&Kt;tX=2_phm z?t+s$6$dj1^&U>QK`NsFhETz}VW^1wU{?A)8q4b%d-2+bh(yd;<*ng@Cj*tbvUIe( zf{Xes1es}d$ z(L_n7O6~C9J!81McKp70YU5A&bOu0xR8B_M!cm8?`$%x{-dw+ZKK7c0MN#$o`g$hb z7;g8QxI|Fhw5IF;qJEyZHT>s~Dzsc%IpBD0x+<2c6z2VJf|oOiK3sKHn^{=%+pD2# z|ArKGvb5<$o7pV}OBMrC%(>|Y<+AbO_=HMg(^ajQcs8gYjrSw8C*pgawDLd=M(;Y;T1DQLwG#<=;G zahW||yMiVy6|j}mv(lB5VP$2vGvD{{h7OZWBZo$@tHCue9;=NM4(xmJgL12!Z)Csc zSWbXqbmwShu&ApWcR*NDFQ21#X3=gNo!!XwkfE@KO;FcXcr5Yux_SpWs&fV;O!xZ*v*t_Egwpr0*8ZO(~8 z5mgccLzdLDH99)BllC$_w`gf;Q*p%>tsxY#4P8->ela)F z$orY&j?x`Ir@3Vb*rkmfLTKRt|2eCd4d0L+e zqA!04or}8Vwy@V6CWp)eJ)X5&GCcHy)Ekjbfegaxs=Fn37TH2rZV34^ORwwib1U-a zki#aMHfM!1l*BQ%Ehsvp>qiHNCYMT;Rc;SjxGS~zC%7QF@CJ$`^*k`f8tB$ zr=ug+zqZ(zK&H<3&l3%|Q{XILKVIuY=MSJKiqef0;m3}YY~7a$I+-04miXMB=knnu%triyK)Z1;s4KV5T;0J(8LB2h7z3 zR(GUw&Y>X#MMq_J%OU1ZeJZT>1qF*RA_%nGi7^NLkl3d-GwaqlajV#}ofErjkKvOu z3z^*cRfHzD;|)(CT?ltnBcavwx|DUpC~gsi%BSlhSE@V>60bn-iMZ`42_RYwSQ6ke z_drlYfy~a~nN_g5q3;r~mxD6Jj$!3{@cq_)SAVlqxzu;W*_-?O8|T2FAA%J#TMtze z-hW8+t{e6e^&cQfJ0@K<$VB$M?}l_@BXNP5K@Q21*H`d6R}PJZJ{$)|ll|vcca9Pa zpjn2QVXG2o;-L3E;vB0O-9*c*o&0GECKj*f)%Ty}FrCF>S-Nk*@zwjpJW3BNOm&4B zv8+kbGIa(UO)+0oJEIeO`O3oOE7s%nxuLg~dsy!dpSg8Q{PnBx3+Wy0KXdP%3~+A>maW6*j{(t8>(1M>C~t z{G9N)_6m=+^0)>(#Qf3P7akq`??UT8i#-)N6E1%~S6}%T`Ez}r5BUazuU;^&zYk4K z4jE6E`za-k58M1Jr>m%F{f0R3E)UnBVi>zHPalj`Rlq%n+;I8pMNtBb)K@Cqb(qM2 zn6g&E*`dl81E37x^|~Aa93I_=PCF47Z&5WigY%y_p;z)4=7kC13+Cc6I$krUiVjBb z_VLokFW=uc0wIXN&LP(pWW-v+ zSTQw?Lf;OZLr;HPT-*+)Pk?>UP_UD4-~Mvc7Pq);6|2=j>k`A7TSo;1vU?WgyyL<0VrNxE{Q@g9&0L--#;iGS64!|ELCb++PB}4vy0RZ zsf!Tv)V21POwhPg(iAI+v5>>>HWC%%ufX~pH|T+)^D$43F(dR4k;6p`f@=K-&KLT( zEZa{;G58GH&kGf!9X!34rD%FYEry-xSy*l?RXRq!TeVnNSV%>^kIXtM5d*-A>&XtF zS`2Fi5HhG{i1gXgm|Ut*8mWZT>5b#a4gzt&EBbK_cMyM+S{~hj%E~IBo!E6 zzDtw~S7Im;FkW-5^RaLk3YAooBupG#OK}oT{`d>=o7)nI*G`?!sH~FgWJ|tVYAsj^(CM6+Zz?9dyc4m$&IYOatS1IlfShA^y zhmaM-AmxHZXpO;s1+k>C5sVFtD^eyYsXuV(YS+WCI5X)flSck&}Qlo+TtD0 zNS;v_=eC450YE*!^(*@L3>@c_E^8}%eG$>ohhOClhJX7$>ae?_qARAeb>w%j-8<`z zPQ+=*90u1D-o&EdrF*QO8tZR=>x&l!E8zZDz#qt34Ia8B+ajl|4 zGLgLs``zW_eB~vj(})L7wAeP?SSC>@{(EHPJW+|t8|+SgJ5mI3QN9PQ^WMow!Jn48}@>eS>D)`QvsqB<;#ozRN zL{?~`CF4-Y8bF?M)}|*o6_P}JeI7ETF!e*wu_g+O_O@% zDjsRa@WSSeNVGx5)`lA7J@3EclNL(le3{I|s$gR9L6(0Y*23u&o78M|hq>La`61>@ zk@z>E88S|yt(q#XdrXQplrLV?==_qr{PXD1<>xy?e#H&PE6*&l_4xl8&ROnF^`YwX z`K$L+ki&IzAIuH>Q{9nA^nw8ooX6gHhT^?WPEPz{Vo!0J)qsbl17>(YHf?+t;8gzf zlbG}iPr@UJg%ANOAxO?ORp{#Dnu6N7R%E2gXN1fSF21A2RWDvsB1Bo5o0~gRwE;TW z_i-5GS1xW2sal`yhK@4RU67r!#zy?e1&(_)36yndrSEYM`c9G=y(EaFA@0=QvcAkUlK}RhMKWE=psSc&Ji_g9wtE@13x-*;)6aOuJo68umV;Eh)*AZj zqowE$!wabB*gB#H!_ib3DCvUUn|K<6Px2Puo5YbKwom8l3;4QF&pZgICKL0GT)KF) zt0`3}l6CQ@(df*#3A}Dv?^*drMn^xxab#pujm>fN;{3yDg{UeT%U;7?olv0YYFMmI zcX@`-I*S8=brEFW-P+q5!?sDJTXLyxAUescZ2BTG*tqn{V57hU?i1N6xBdz6|LSWE zeVk{TQ!dY5Q;{pihQR?tU~9F93AbO?hR|K<3v`?#t|{GWTqxx`geQU97Goeu^f^7- zE{QeJoQ0vHpCw)|AcQCWS8cT29?d~2NwLWgNCA(`Mn*>~qKTq=zrEzXv5QM-((k`= zV*t0vuZl}c8@Jm5dEj|((K7>-$}2{! zNvJQA;B-BrlT|0)3&}>4bxGk{15d~=!(?jzcJp{vt-PjH6K)c-9x;nKlUK6=XB@x5>}TNA&24bo_vaeg!I;?gKx5lM?id z-0q_mef&@b7^8OC38nvh)X~eYp0IHZ*UtT)7CY#wIf13^h1rUv{v8=Nx&f8BGW2|S2t_A*48R5=SoAO*!!bv#6Q+x1nO-jHfd*iN?cmkyUV*j z;aaXR>5@z*uHI7u$-rBLlk^<7(39<&^|$TdMm8()=L3Iu)L*su?MAl1vdUB5i!-w< z)z*w++%?isKYyQ?k$4kR_RlVIgPQ<7w;bK5kN3rQ^3J+sE6KV$I{;T$5(3wV^?OEn z59E^}*}o6U6#-D_{;7$4S7O};Ai<5n?|~;hmxWGy1DDd72FWIH8lV`Fktri{=U1hB zwC(@GD1 z!p_eg{N%}#J9xo+E05V#L)LtBF=}!4HWZGe(tq=dixec}`wzi|w#DQ~9#U-J?)?eH zIHWfuQn7W{4veEn>uLa-rk*HEPDl^X4P9*we*CyNhJ8ay0kpPhBV0)M*mHOd6Y$`c zq0PI$TJml1K_a+c7gof$k^t2*VxCQMujXQ^6WvLbyEuq4F$}E{C^PcEQ!TpTS!EK>x?2pTppm_nDyAm$n=aN zbl)y#PM&tB;>hJko0qOFIT$nMaWVe%H#c2a47@?iK&Ph(>1ZQ1+U=O z1q9swgx#Um4(TXXw^<4H6W^6T-Z4{2z$F6Hn$oWk#sIR2)YEXNO2uWoZ3`%DS^Ui; zBG@7~dy9=TH3@u-#TX66J^NOC0|xygHDy#(T4~CrD_WEHpt_dbAYJnDz*DLfOiU^xaRRKK>xTc_ACf*z8Lc}VIpuSTH#)$A&~nuwzjf{~8cXbk#jY6D_BP6-K2 z@^n+)K-+YyAm=a}b6bJ<)rY5ybnw(ELk?cRMD@W-zkAd9_9l` z_h1#eRZ6ep$lQ6A+c817NK9`cj;D@(cEjo@hgpj_T==+=%j*EUv)QrWCAj%zs>`vw zr5$?@<7qPEfy*Os7^bAO_j&Uy7gd*_I&}WkSp$Zz0LPJj491N)*O8}sCMAZ%x;pqx z>U&Ztz^9PJqrM?}f>qj^HLr3pTB~prFbWZPsm!DIm}y1$fYhgRWyjbL{pqknO0$2x zQh!azs`UAfx{0aQA~$bRR7hltv|Q2m(=(pFQ@-C|{Ii>+R7^EF#XV~I>i#_>AuQV~ zZzb$V!SN@9@#qIm6>3l(0n?p`N@(?&3(qW3-%azS?oon7M^TZ1hy>cyn?E@YBoP1m zEuN?!7{{l}t8om=h0j{^Hq#T@Ws=)LUxnZ4!b`+VvoPO)z0 zxyB>k4ed}q^q4T>k_9n~`9dg$3a*adN35{9RBGd3T}ewqDu92DiTz;^p8qtYH{%1U z!>)`bmQHT;ll5s2X(Y9OFcpp>C|yfS%YvoRv9S&W>|~%dA4YOD1fdK_M+GQo79Ee4 z%Pf~{_}gtc@n$Ncm&0gB{$~=1r zN)+`=7QLF32a-+Jwc`(cnTaUob)yw8`KgIJWpA7aR2VKQf3$LO2~V-OX*Fa1oFj6WAKFW9=(*%cj>iGih26RXuh0Z+JTSwF z5B$Ubv9~o`G!v$3{L!iM9o}Lw2HPNU@Qxr0| zPk1_v2Kz09nBF%wK42EN;d|~h4eKgjInq)hmpu;L9{i|)YGI4)r)=%B+u#}jN6&bv z3PAvJa`U+BdMg_>gd#pu*uR16ljT7wNrqbmyuIrQ>0=YOPB9CcKQvKM|8|>5Zovvv zHM9_EAb_a8z`Ydk{`yhQSf|^!)A4=AL50R8sc;I`I$g{68CGty$6`{3(U{@o$@&6@ z@T?q{zRHXhE~Q8RhK_PBzYdFj;l_H5nUrr*v1nerMa4%yFzBO4(cyf{$oh4E&Xp3b z*T>o{MT-%A2`HlA^k%pjUXASUD;A2~3UCf`w}cGu7=w!Q`k2(_n$uRBZhu@+dPjGO zeN=$3%=|NpT?NOhJFr^ad*^w<)&&dAi8(`j6aVB~!3d{;1&w>owjUqA$*9B^yl%<5 z!uzm=_vo>LhMNvnBYM-JH6|=}ys8H-7`%?jd>p?I-`X3m)zWtrjC=RC!`-IugA}~0 zncp;kT~XyXPY(a70}_#(A=uaaIesLGLqsIJvazFME;MdIt^4P1=?u0Xg8G|fN+Fl- zEkT;Mb3Jui0{Do{oW3PMPp8EGKvB|mciZ+y&EcLm2l$$Xey-*H44|tBt5#A7GMv>r zL@R`2o{moL8*Rjlnmi~4eY5Zj?TuS3yk=lUm!Q!d#FPlqJ;r1-wYzEg{5}&At7ExC z-ndV8&ZWt}Ii*MpZ(hM?d?O$B)EU}tMZ>bmtiar2B6!C-Qgb&Gy_SyyT$2JZa7}; ziqb|iMiBcZobfMS2rTPGq@!gaoGJnD#i?*(tR3pwHhoAdTKn1X(weU_r)zAp9=LWg z5C(xn^32kEx~k1Al*mlx45eQW*3uN=YJo;mg6q=A1TqVGI9UP&DscdxKotX6r^qql z`x{bHwQLpbnGd&T&08QaoBH?nh}CLnd3Amy)I7D@vm!bl9#gQwcjWunsX=+wfhRL( zuCUoCpR1(*OaKTaRw?74pOrqFQn=Hz>xL3hyinbDaJ9up;bf-1q0;1#S1Sg9;%74|8~E z=v`HPXgLKxdkC{oh@BP+8ALlD8`i@p?296oB|n@nX61%j2rRcvQPbC@GgwG}3zDya z%eW=>-u?7Q3B=x>4>BL9eL_^zo%B^hWCxW-oR|JwIcqiGkOBbwGln06uGa==g^yF4 zR>(YHOdrAZK6*Gh5meQVLR%oPqR3oF5u&WbaM6i!{R>bB{@P$ft!KR2Br=s{GV3&0 zQ=T*7_wI?~4LWlC_;GGdD$q+x_}VLg{9@zq)EXQ(Q9i5xkEidB=lXxYwv!Pe30WaR zMKTH*l@JNpm6aA5EsE^yEkZVtD7%!bLNY=n<&!-kWhEnVpXcwsfA{0@`Tp^3=>2|; z>v>)0oa>yJC{|GQLbal|MG}}|9zVp%`n9bI(sI*v@CPg@3bUF64Bz z`GIk}qqH=rwTZEx*CSK@yVv#Wm0`18N!xn7WN1#EQ_ryvIDR=T^kNSE#tx-{69+7F z<32?{7&!I%ESp{U+0qK9{x$My?Q|<;7+SwE;j+03J&xXnrEB&d#@^pbE2ViFH$r)F zbSYs#itohXo2wZAJ0`B-KjLaIsf?w3+>l)ueP+-`QB%OuIs|4z1CMf3ZA4SnrSdE* zWe)0TYp)pgdt&t(OIa-7VajixK&yv&W#|2C`Ga^;r+T3GL?{0SJTLE>{p80-$T8)g zIy0`T6AJNRXug@HOVoc%BV%J!ORuxBlaY>FaKme7;!n;EP=%rg4{)b+x_cY{1nK)k z-pNNoBBtjYd{STE8yvcXr2veUnK2$~z$FT2X3sLtyxcZ^VbemndC`g9k!dQ2{?zDb z!LmJmbrdOjfq3*wt{zC)geQxr_HXl@O#rtd@{WfBlFwnBOiefqDJYNypo-xQ0fiF( zEq3Ybk={3f**VLs)SfKd;xzF?r}6yF^k^qmWBx+`5}7E_ufk?ZKeIo!Rkqzh?qJGO z)NU+U2QBCz-u7AFEk=m4YN2BBzkU6{>EO8q1*^SWm?R(kD*f{1Oa7edWMGxz58xQH zkPq4dq}3bOlzA3E$yjvH3uG5Wg!OaI2!kC|b|n_c6F2kKWI}IVzkUQYcKf@gq1tEs z=iBD7em9jQ9)HaPI}q$6A?EJN;@__wu&=Phn0n(58oq`#Bzx;G=dwbbpA%0cHRcd#FEsEh@honCRUCw8ym; zN!pis;5q}q+pX=}RXn(0I^eRh&AUx0We>IZ9wmTNuU%dLSo{U!J0bqLy54m@^&cSR6!VYqWK?8Doe%WB?YCMRk0~- z`hx&7TVs?Xei5uZJfWyXwrFfyuek&A#SL)#RXOhOejk$>cvlJv{MOYM4^;k6?W3s0 zgqo;x7i~0gWQ9j$EyCzH=BDwkL1C?iS#;&k&lbxHP=rhXDqdqi`T4@0(&679Ah&xH zEnSv6Xs7;j;oa{iVKZN`QEYg8;#!|h2&WW})#=p@9TR0-Dh`yW<1`dYI6!#Uc4IT1 zeD~kClo76FJh}Mt`SStf%~4rhWnZ|dj#&cwMQ>DuqN}c-J=b+QR2jpMF5>uRhco2) zUjHn;HCfoq2v7dw@LMT_}i0p0~j3o;Q3(2ni;-*k$EA>DZyEI z5(nfBFUUMok~A>NZnZNsE>9lW9l2&QbC~{2s<6?#;6@5eiH(rsoO%isemZphB;W&NLIkun5IzSk=adG5eJUEp zY)McY&@g07Bev0xKjp7DVg{`EdpyPK$m6tvR(cO`76MRytA~t^lCR7iHXy9C@=-gus&T0m*6p6J0V%>Uk4kPbtk5RNl zWZ#B?zYWR(@%RT-zzh(C5(M)K3sc!Y6CXAlT3;=Vx_O)DjMC9azQURPlk}MH-6kL9 z`d`IM%}~=Na@rCyfxu+-2ITAxVMHar*<+)T`(dM>n-&RIyiw)UuM)sAJ|rMDHzNFy z%z59wQT9y6HsQ+j%#uyZ>FKit@9R+;zoa}whIPE{S>>__OIsHCJ2sDmkr*bJ2}p4tq}U|r357r0_@OrF#$&_XV7G9$dM zV2IC7-%U#QEeT144Czko}wk+ATVPXD6`~cDc2YV$W zjTwO2=6_Eho(;L$)g$V&s42CaNb8W?hhD(=ZBkb{-k8>>_IUfS_j76*OCAl4Qesl% z;Rkmac;|a4NoJaX--~ji|7+z_EabTS^h-?bqL1q{<2XuY(DcYYJd=c zG$Nn*8u(0^q`}~T(nLQFy&M08Sp*C$28}NL_gorq6i!;MWhM%g+EShqV_uZp6z1W- zoD%r9!jNSfzl|*SEPRi%P@?y8F=4U-UR?|QW#ak*Sg_ooSF78m|3V5Y4d>9RnR-U@ z#sXV__70yOD^H~ISXQ}3&#HlD&*%B!y82~pa9ztyh-OdCcku9!hE_13Bvxpl5a9&% zg^xBCGE$rwfO%Z6s=ryaL7#sK~hQ&c|L)sH$ z#xMgr1=xg*icAm|z|ZpxM`A61s4;K>6QBh+h~KpCl)6|1xZ~TED9P$@rTNx<>K%#z zwI7=8w1$_`arVz<`1>U(u6zyATa~bILz{V2>g`v^N!~`lOpFG7HieDyTS3}oNT!I! z`;symi3(fCyl9c_Q6L+?S>d0zgSoD9J!L<>ty zf+12^P(-6^7J_q$01uX(qCKL2!kQD-`PMMLn|e_81Bhk^lHB1n5c!GG>cg8CSSUVo z`{#apT>)zhxB%bPfzb3+l69k#M~S{OX(vSy>{$xTO6jnAuU;e&OtCZ)djf@t0b;AN ztguy*I-ms2q*x6U$d&Lh*KOESM4tcepx%b~->;&>@IQ zrY=`I02Ra{f#^O|LsY@s`vUUVrh{O@FTHq22JUUWeVUSY0?nN$WCe*Z8pI_g21EZ= z>@o@r8P^OMSNCUbSHExG@98F!4)ByXnZpg?#|A8cvb}lB#@4vFu@>xNZ(MF}9`ozV zt5f|o{OFz#Qe^b+2HIUTpf>1x#0(#XvBv4}eRP086z6Qc^4zyY;9i0f5{%HeAnnHQ zi^JUpo0GqB&MUC85sf*GIi@Uxx!ELn8+dE)x9N3|+qZ3eVj`I6R!_&4g;Vqj(G@Lh zxuX%2w#NusbjOFYqr~tC%m&%b%x8a%pQXllKwLaHng_RZ3)OoF&Ia(xtFPZ{5u?EB zn9t-Qz6p7q@?BFBP8f7(^La!m*UD|07e0M7mff6EHP=cnh!jB=E zpn?GO6NL)A_F&HzE6}oh{#~IsR3g}b0IDCrOk1r2nJF!!KdRI)9#HiGiAUQhpbrp_ zN;c|VZIq4#c4v)uvEVG(WyeF$%K2`yfuW%blI#LR(|$WDEfwoh)hG%pgCE`|$+|sV zuN#LLBe7e6?6SVTzK8BL8b^+wfAEbY=|%YUqntFn9b=af!Ad>Tv}9;xl&wuaKTm<> z+wMSouFKT0v$Ce-g9&^9lnlctF6#O(pgUx6J&!!ge4fcJw~I1~{_`-sEq-}YG@-bQ zm$)c#hSK6cRF$a|?AFzb()Y(BW>MsA9l5+~6s!ddB;uMiy1uIj2inwjFkEbNFVTH9 z+OIep{EicZue*1R1c-w{^DxSHY6F4kM_tn;RiiYh! zbU(QN%#S~XV4-vnq{|TuALyukFYJjJxc4>pm2l1HGcl63xW1&2K_h2_dqt=py#Ik{ zc&+RGH-7JXbrA5I500x0I3vIlr~%JS;GUY*%|J;AD}@tVuqXm=|tg z7f;VIACd+e$jXMh#Nnxg3}1ryLk)map%`hP#2psoi+{5n*^-wA^xH6=Mx6^2jM%>!Qrh9qE#1QlI7n4YVn3}nBv9EcP@}g$mWujxd~q}>zMb?mAy;F@LieGmxLUk86PgGmbBV3u zvS@})LkLM_!x&GE@e%HKdEI{5THBDe4&2uk;ay}MQZLsJ0}K$I8Hl1G_+ir9EzEya5LGvpN;G>Iwn2jTc+nwKwM4x>L>`kobul%G83EFFxtm35CX8oJ?w^ntI$bNuL3l zoMKg4&9ni_P+uRH5Q~wQ?M^~!Y6R;45Y)XlY7&C*ErYO1NNyrv9@0bNNZQhmM4*!a z#^Gn4YC_n9=^vJbL(b1muSB4#4dZ|H59yqImm0R7En2&L!oquc>#Ar2s$~!my!zf= z3xUxbIS#$PuLee4P?DKbLq^O#EC&7@IUGYeWjmgzxWg_=@vc>Mt?jSjgrSH7m z8Z%d&iV#*j(|K27BDtj1ud|=*(i>|rO8V~^OaZ+ORH)>rigXfo=Nlu2_;VAoaRXdV z3Rz(b4s%=1imp@D?A@Z1XdUd~;C)oUarEm`rDFQpUk}~EMxjBHa)`o%p;J7;4o5+3 z-eA+scgg{{aj3JDFH(fzW^Uij90X~g5EM92x) z$M8U6lV?^c3cYbCBz{&vNr0ek0Qf-n>P#d!d@J;C`A>X+@i{{t`$=X{z8q-mTiNJO z-P+!cdb3~7r&$BEx{p{z;`NS`nVd>Q(lIHT@>>$88Q#~&?WeO#{{H*p`SFp(w%2zx zw^+nSvYQvuUERt=OL4!gLYGnViFx*{n&USU?qel>{5L`TWrDMKl~8&mNt+STB-bXo zXu)o(xw_8nFl+iJ55jbH^cPoZb|~GQp962-ef#hs)^UVrymD?N|2bd7Qq(3bJhOZE z`jO^YU>9d7@|R03kS|Knn|-ueY@m&CB=oJ<0gR6>_*O8WG(Htdl6gQEsA5Ehnraq~ zp@&K?#+8Y|v#sIMcdXMHON)m^<;F|>_#S4E2OM=d^Z1hu(3VXbX3=78a%b4{0HbV#)xkWpvGR-W71@_1rRfyr6Vds3E5N9?u!3sIPRrcCT_ zabUTRkF(XRuN~as@hNq9aM1d5V9iH4Z03oX8qK`Pc<_dIuN6gd!puTlWI#mi<#inb zhF<;=u~JEM<_Yz?JECXH5EFfDX0Qz^s(%N-cxJn4f(azM?qNLgdM>cAH{g1_Ts#cb z9NM@%ESn$P+3^3BEPyDBE^js~gUOrm2G`Oq5R^yFv1%YLJMszG&7KRFTjbwo&)u7Q z^F9!x@D`Q#%goq16!5X6PA|&W-?uGZj`*6W9d?^-*!ra$nk(zo@o|3uA{UMF*=Us} z;1orS<>}{z%4g*T1=YB`mcm;|b6S0D_*Fu}RtcRme#psd+?#kjEc<l+-_Twf$p zV#j#MGVrwnDK;uMu@ztE$j;Ii5af@lk-;khlj&X&Be+d;E zBk-`KX;Hdqf-r5J6jC5>Cf#HGV2+UmrvY|M8hfAi_f~7db_%h%F^g4p4DQUhbjNI& zwo2JB+DisV29b}zcVhrODu6c)5aApTFX9zL>YXZ}H=V+^+#OluLsmwu?87z6xmo! z)gzj>nG#UBpFv{rwIAKga6AyXt@0N|z6j)Nh1k%Kx^3`)~DX{_X zJWxvsPvxYG;%vk{JLqSBYK$L>sThl5-eIze1*LrF0dRYpiE zF1**VkHG*J(ja2BBN&Q-x*O)DB_;PC#@m^{dntW#e)ODEmb&kb@BqZSG2Gci*}F;l zsp8JhJrKSY^dCKZI8V<8yuw?~qqkn2xvt(1zbyMFchGe;)RV50*sylwpOOfq{OGp% z33$|yjr4n1M7G5O!GxJLw5TQ>rVr4kp4Q#FQArUH&E-EH`>9IN2{M#k3$A@?@-#KS z3Tv7L`Nj`4mI=?IH|yEjFz>FZs)E{9^%`}Tvl$vsY(q<7qJ(ivz{Dl}#c zZOC*!Tl-h^>~m-9Vil?dG)n@_@=Z&$%XsR8AG;zVYQ5am2! znK%vb9G&Zb7dwpS@~p>fK)U$#@%HWZHhf#Qh&-o6TW(rx6EF~SODHxZli`FW`RHkz(k@&1tYxgrs14x zoa$i`{ycSsuX+Dkw$r22FXc)~OA`y2Hf=hJmU7E(N4J@Ik&WmY>mQ!LXNyMJ!QU;t zIosc~VR5uP{?6L+c|vl1HT2H2(%07?(C^c(dzr0RCVa?^*%;65skEX?Vi8KNE-q@$ z&PCtefShQ%5<@?YqcjtfKbQO!%SXYF(eVuez&`gAVk(_e8S0xZN;N)%1&bc#N?6_4-W zaWo!>YGc<8@8Pz+|HbAX>MRy+(>?^XShE^*Gg6k7`fAQ=hZ=J#Xm6C9#MHj=p z^fCT9Kr-qBDPXp_h$QTS31vmPs`2Afr}kwO6|tg^^M3jA?|Smj3j=`m!S0C3R$`R| zB=6(<9h=!&?Mq*;#Gfb`v482RdlK9ix{+amHXI%`{!1r*_R^b2=G7z}8B;eNHQkJ# z;>-`Kp4v@R#yDwK@>^EQ$v?e#4Pg`&V&YQ7U>`bSqo-%K14}XbGzVA+9YV%8Etzon zAJ<)6>M*Twd_4g4aAtP5CeC<5xDqzxXjW%Ng$|;9!6ODjJ0~D6t_5!wPwk)Wb}|`w zG~LKr&5!oOH^w%uqM4T2CK$=UqRRH)6y^g5zbpWi1yXZwJ_4){&}G%Uz6?@;QN_X* z^GZLg7mU6+KHJ&vcIee5+cyyI{k$}uSC<&@vW(J3E_us8J#HSiL|OY*E~Ul)uGV{^ zGq7y}p+wKbWOU)m+@1FrU-9h&G0`$E9{ajL=SP&pyX2<9O4TokCTviesK$QiL-Aj@ z!0>$+w-jmq*L3FPjqqmE{fDAm&35dmflP?;Y9Po;^hc#@jpOpl%BKb15&u47Or!R8 zF3PSfE8M`HRjV(d2$9^6L-D;do_=O@*VfhDBF8ye=Y!XeR{e;OvHP)qI=VOTnjLq} z*wJiL{eDJ9r%Oc(qG7<{R-~IN$xC-fwFzwS8THn#Q1adNDts6In=tGb>bliSsRP6H-2zv!oJMbpG z_wW5@G`rAr`6j>eEe@yyk8gqr_12fs;%x~_l_7e$>~bwcNsg|MD9(>J&W^URS5%20 z%e`r@<5$@um2*5FBIFV&J9j>j4UAu8A?;!OUksb4f^GME)hLnn5$MPlU5~UpR8UNp zkCTMM9r1FZA5|3jyxkgxRL6ItAbeS9Y17DO?EARZ>r~T#VTzTH?+I2?n1Ho3%89}Z zx_QL{PW0&8gK!TY#|O)bYDx2D|M39MU@)q|+*L|Y8GPCSJbCq&+m|#-t8Pb*c?JJ@ z;vZkAep0aZ=;4;XYDne4MI|8<7p#9=ZCIYX&e^s2Qq>Rg5|SteeTL!3t$SkEm?;)^ z4%hS?@q-b-Jpb)qW^Oa_KC2#or&m-k%L4r*bqH%(o8(PX8UURU-lO5}*L4O`#F7i& zYMJ+i8D1Hp3yM9i`S9_2_za}naAYE#jj9d~&{O-LdTw?u(-}Tis!R3M{nC3cZkF;| z_I4|5VYPlv8gcp%y+^C>T6CoSzvtHF=G!mjHj}l5_;s|Bf^u@4IF7d*FQ!PYkuA^r z*5LE``^ArW(X5Z2VYOKO%`9wTe*f$>nJG8i%)VinO8t%sSO8t&v|E$nK2Zkq?{@`$ z6>R`}mwLa_$ORc_E?k~p!7t1OCIn-fmS}7)*NBAo{h}wD-FFFlBGHI3Fz(0lkK8O1 zGjsV5_M|2Yr&l60%ru7+7|{ga4Z86oC9w0tVSpM&y6Y4?bqIA=sEf1Ub6{fidxhi4 z3a7XFm$A`NK^d9NaIXW*&i3EMkNKwPOOsjdoUCmr!*254Z5a=jB@(`^)<4AFJ*vjnZ?0(xo0|uN2IBXEChX=* zz5Pp(Y^pHS58%Dcp9{a~H>=R<6*@2fQ_^j7A>cS)k87N+in@pEZK{YZVb{XMhbD1d z-oBB-6SvL?XYtv}3<_`tReM(YYFda1O8=-ocsd87^gC2Es3 z7&LBrJoLS9y07I`oCN(P8lJ;`K>~R}To#f&J8lFWZ3ueRbY`i<#pTroq6Ma@IvV!c z+YSVYztR42|E2g$NiMjxOe39m^$h)v16_xdg=z1cdB;Nq+HP{j1qLD_2N?R{rG_pR z_dM8qb^hq?6`nFla1epu4{DLkj`Q3%C1rd0@7>HZ?vKvas3=PVn%J$zdxz`lS0tvr zpUboP;QhvkpH0>xPCL1i?kF@~qiT2)&a)`ee_6!IWS66VO5}Z8qu1?&p&ARzqWzlm zbwHj86O3qXxFz$8{@a1eNf<4-gj4SK#p(*!!Z(0pY2vK$xl7(!jimX?Ags~&jO6*P z6tMQ=RPA)JC=Ot5;W6g!+p}&mi}r|-^T0#5Lk+d&FB4yeUJN@p3KUK>?fjO_Hmes` ztQ5r|<(`G8cnFWP+rO3lqp8EMVoNyX;(e9xh>x-La=cOE4$Xk-nXda`{7fLq=qB)s zbfHt^MS^K0`k&X}fPA4eu{fRw`Rnn>k@<*5Or6efw2;?p?}x1!NkLTY6!utMnnkm; z#Z-7UjuK>$=Fy{fDK`iSlu@jstv-Cux3L5Il&{r2w)JSXF{-{sOUla1N)ez=nPVXS zJr=P4-uqUijHdA+fYn<1bPDj8Rr=RoSLdTAOLm6P zZje}u-+w(lJeUf$-qRL=s?#5uECDGgX8gnUKTV&Wt>MGlxMh@g>(yIXNZSTJ<;Top zTNOC9Bz_m1s^|0;n(*aN&?evdANmJufF3_{IxPX5Fp5_z6=O*^@)j z3%w$lM8zMd%-!~m$#X-LfmLMUe#fsL3yO=#Tas)8Rh6{DBeE9Z0dOlbS65W;0X_Pc zBJ*>jS6l|Ze?PW`8&-|k3=p36?vR#d+h^apS0V-I)Bqg51^nsbl7XDC{@ws*SYE(a z*O&(D;+w(si1)~Lq%}?c<+D2X>b`G6;njH8{O6u`pH1GL8St@6Mewb9)=p|*xT?KH zh(giM+1x=LM}t@2!0PWfIwu5R3Bi1r1{t8Qyen!StTpW3h3IisUS1|h`A=3hw!iLi z{{`Cwnz>@=VN5F=wt@Cz_rNHaUE zT>GbDqYMTVA}YjFeS=J%aPJEm9Or_J)LT766}U833dAN?I}N}CTq@)N6@v?fJ2?!! zvy%;PP-fiC_yN=jw}r_q->zM# zJ>|<@Pz>^;?on!qKj=0zCQy2u9&7JiGnv&oW|7Aj8FKgPc`pjhYv(pkx>ssfo1Atl zGm@%e7>FBQrcm!MxVjS$J<1d!r#BWl)v;bkMf@O zxuPKZo6o@k4o*%oBpyGy#SmwIBe<#~0gTCeY-KsTpU-D+kuV;>ZWr{NewcueWrqKd zx=YLX6s1n4#~q_GJMaF`prBgNswZFFx{d&d=PzH{0&^x*G}=ci1fC2m1(_Jlw5x;Q zhz1)4_zt>S4uHRbP%v3pe*pU6V?$1EBg!ujgql~tWc8SqR!0BMu}W8Xbm8z~7u&v3 zkSb>#1x<~<4(gQePH5r$3?3au^G|CWjlc16SIRhNp>bi7YA`Dn8=1o##^-=cU87|cV*o&r|G7#FpmL5| zK6j?XJV~&5fwLG==(>}p9-hSDglk8u{SK2O1IHQMR#vfu)0UQytLn@*@C(v}aD4M; zeL-%sR!b$YGyb90BcUU2BwJ8_~3w6M6QwEoD)*s}_o z)tU5|2`vf;vk{x!dA{oJ>dphXn1zIR2Xqb^cbV#-9=&K5D((ghG#G9)++v=;D-WZN zN@;cv`4{%X)Kz~Qne^1$sq1Cv{Bw6?FRf&YUP1qR6n!fZaP5$i3g3Ngc@@~yS);*T zB=#zKEJ2zfy(~H=Op-~l?&TS<|;5w`rdH<-XVx1ggnwjePgxzBy4qg58hyc z(WfT-mM)~a)lez@9+#VXxga$QdX8pZ-cy9F|9sDZ>sPPt`@V1Lzx(BuB*$}ma%pL4 zF>InAD7e(uCh>_4MUC|q!2_qA4sf7Ykx&| zZrjpiIeuleyn%*qxq}H5Yi}zfLu@;xJ)ZjAllHgm!r;_(&UxBWJ5U zw8oe5E>Tk`2`O^bx%*KEHphx4Og`GmiFu09v1qXnrb0wANQKwfosfm$gQOACCO56$ z;Bc9l6sErRRc0e^^qpL$oUE{Cc(e<0kNfOzXS=HRPp;}jRwv$aF38`08~G|md}{S6 zFE97L^hlV_cm1&#JFOFDi0^u?5UL`Zj%=IfS4Fps#%UhoFK|89YWS;$)}Phq(?yr> zyA&ccu&+SLA$~#EUB_!}wKCh+L^QTjt4bOOOtM~qZeq`Tccp4)d$G8V$sI}t4yh16 zh_NxU!?+r%J8FD}OwO$<%QE9jfQ_lBi1HHRo&l(j;`*ncv&dX6l2nLbH*H3;C6W4o zpu=4B9Ijh1Tstmhk$TAMO6^U_>s5#$ONT-mpmq~VCvCm7kdS(pc_k!FzUzer1>^@y z!ohf#Uk|Mg-rggH3J^x=Zkcli9{Bn0s_fTNM>90uQo3!Y>VXRUpgMKafiVjHscaMMdV!O!BorXDk52nxl z-X*y}HQf>Tz8}py)7NQ8lrDOx2MM#JmzVEH#9<_!Eyl^)UD;Y??c~hso~2-lNS^*$ zuG6s-YzRpQ>Y9Ff`elXHEb$hn)Vu--5N)?9+OhPB*`ELAUK$8w<-ar&gwX{!Z`Xu(j`(WaR_vhcu^OUxi zm})aUQmK3W-;U#}nImvIug7No;g;m5EMY+&g%2p zuO8U;!BUiRK|z7l`SY5iHum-pDL-wpNFzRUxhK4ZM8tnQXJ&oZ3#~%eaztb#i(@24 zi2GRIwA$wc32a#_JYnC58tuAw!NR7$%{=WI90b4&u{%$Oej;)e8tq~9+}nO{Gsf2c z*Lx98801WA?kI;hwV3=d>+4LY9+m!k$JlrshStCTVNbOp9Di=($V(NJr0?QI@YAtI zH&WJadWkwdB1}pXD43t(*2hYJu&yj79=9(DxZIX6Kgl|C$75)FGUbrUju1liXJOwQ zTGQ9yf1@Byf+rv=zG~)ZOkCXI`C2D?&hstn2FDL_pORSA(EY4mc1fD{Y+JAI?VC9%n{?_La>V$7 z)(iNPo{Pep^|{8zZD%yX0o7$f<3gM*pm!3Us0;JC`D76Z�#XU4wQ4EPT#~FB>(q zOeGL8ec_%Pe5U{167(N{rQe&|)2{-7PXwpdzJfg&I4xo^Wer{Vbe<3e#R1h^_rL1m zKDiT>Scq+2u@47QyleH_bPH6}R#pOVdeC?@t9?sdogZN7HD3FLi|d?miLvE4(CdW! zzMTsR3*!)Z>4i?eT>H|8hv8;TcI%J+hi=HU0cS zd(P&^H1W4;?%mt6@WvC`M~9vwAHAc1Ys5{tig=g|s42WSn7y?&$*I$ydb7N;!mThu z4wF}@NHJ24ZZN+H-vxSXt86vB7(A27S)(sIMKyXpFpbSL zlyZIt!$aHTA_l9H-Dj(hZz+~ct5)o<2IG*$$e{)A!dsOLX-27~v-( zeITAf-Mu;0N-W$xY0bm$`dD*hg7<_XRkCI^Z|Ffj%0?-}FS9{`_iZom71(Gx{IrRn zO45Wf$EsAXHDBv&Ut-CKU2j#KCG2A!wyT+~*%{)~k{o9{t6m$@0uIQtg&geTp>|TT zd8fD?6Y;HdaDey|+?(0iDOG>lS-4m`Ii0xYMll1;l~z3ATFMp9%b&{CO}-0coS@h! zjm16c`+=OIu#ttUyPLM}+N(a;|N5Eu+S9_6bHl6QJk3ja%N*DKx^21>p%7y6j1QX} zEGN3o2#nP`ddz>4`}kCTv#sXSqk0j`yotN+F}HmNuE4f+>jslJjeXAr_>ZUv;$Pc< z_*sbLICtG+fC}#oY$4jlIJ}nUM2M~o>pNs$hG@d1wytegt~4*Y%X|CAG}K!ppq+;2 zUc;#u5#TXx8|f8obH+@u7)o|YFI@P3P-M^Yc?q{=LmE&_s*ECZ-Ol;XUzC;Hf?<{% z_LyAIjwv9Z6{9O%+>xAcuN{S2iDGU(nZc`owL7qF^MVH^4TcX6T-Q$LvaVx+P|$65 zsN~((eqVeKTb$lK$Ya9nFmdwe83A_nC?v>0GvklIk$2Ffs>tZ53Eu^3ravnDevdo2 zuS-Yj`CmDHd$GVXE;gtT!N=Iz-hLFzBhFZkec=t=ASTl~NOs#w#v~;m_5LEnciNLx zohF{T;ZY#a`rx@8bI5c}w(87wa?gy!&Rd68GE}sLJ9wze<0F3~KI=M=fEbU0sm$Qh zt)-lzQ=RjGDT2)JW4k|J7+l}Ji5^U9vGHkKDWMpel=nkdDB&z={PKq5yU_ekmj-|Q zkZ|5r>@s{5qlo}ANHFR&pv+T1=n6hyE8&ZQH zD}Pon)XksVEMX{a|T*y){l$ea+xFtet&3bZiZ=|hc}i8 z+w8s}U-UDD!2RFzj^591!3&kFGBR;K!4dP(rT`N0xDDdi9>t(`7|X)n22i80-auA5 zg=Ui8>9LxcGhN+!0k_*q{0r{f2#5lphOn9St$6FgOFDc2%K#C06h>Ju2cpRNHmpG@ zO6zzs|HKSr>GwuNBYUXc+_zDy2?N0rjtkrM8ySUpS*I|@co)k&iwRW)08C)X5raIPXW-8dh;hAE#TF|#)p!ObK3eB< z3jz-QaQIMHM+rwK8RuVRuwuz_{fFfzlB4x6?bTS_0hXcBc~cC{LRm4p0nTI}do(x9uKI z44%TX75z!CU6vl!J!NmH-?r&2-$T7Eb5Sj$_+f0`HN3J3_SH+PSmVq@t)E$3l;=(} z`Bi*X3BBJc@EB71VFg9#`Xmt(dO-!}0SW@W;)zbjZKdPkU%kDwI5+xmw`{+ASM+PI z%v1B?&$(`Iz$duB@BAhbHxAQNjsne5ebPMYO5P)^ZscggZd5+BYk2jC{!v*b z5r!O^`1+_rj^e}BH8|LT_89||P<7Lk7riis$`iGC3L;wk&a2bi3Uu7oZhU25{H z5(G~Y>w?!n3oY0&W8-d~x1GsHuWBzsa)vZrcB})*^PAoik8P+xuZ5%4< zr}y^2(vQeWBRnK-r41{D{_tVx>+2KVy*mPV(n;?zNW>7m)DTLD#%~LlF0}3bfkMZo z9yG8GanvQiM`NO+)v%o*=+BD0M11ZbB-#xuLl538bASKk_zQ|E?sNW)+mvsW)%}C* z@2x|Ef<6zB&azg6(Wg@un)@Te$f}D;OFJ?PH_xQIRaAuZaBaZZB z*n0)W#TBw-p0iFC#*kjbi~23W-A2X@|bw4ui5C7FMzeezJTF2h&@Uxsyb9 zh|{e$`mn2`mhk8J*71;T5xm8?B(eCEo#R+Yv%TdB^YB>5Cq+e3=&8ES6Hn1PPvcFq zLULie-SI&kdAl(qv%dqaD&I8gK$l)Dcejy**gt$hm>nXQs; z3)T@^)i!L{0Nb-_qsaQzJtR7bV7?xa4FPC*un=JL@%8TaKK16C?w6!XGGk+(LGna4 zaXawaA>qVOF#mYS`??rOKtaJGxYFSGIJ#8Ih~d0>`tG?oXx?I!Y@ST#9c94ILs@}Y zUpLk@t!lj~-2h~QYV=*%Wcx$&dW<$$6KxDlFWu3hjz6aj1rHBnSVft>i|q2`5((m+6fPA z^!Xa@0-Al7*l-pU)VlBj%_TlslisaH{i7{CaU!hxcHe5SoYyR~4BaD>q;9xcYkueE zqV8G)nY+*Q=|a9H#vQj$$xJjHFOcMn6@+_FZRzUFpav2u{of4$TG+UB!7TJ__tz** zgsa-jhp-&)mx_QZ~O*Rm3QZBTk z+*sM#Qb!CU#qvmDTiamg$b9;T36eRw?e{pW0qK{r+Ul@XMQbFBAL{@3u>?lkwo9L} zTMrgG%UDG6dL)U+!AFJ%|qgIzpq?baV5J%yR-Bsa9@1i*H*b-hl6s_E>Vx zD#=w3U@*m!HBKv5o~t|()x8qi5}ID!zDN<$C{u18zLH1Z;8l1@(K*k@70T6|-`uKf z_gWxfoW&|&Ce~t*q~3&spa_%)NhyTmMjgsFB9a0zt`M#UJ>S;WtY!BciM5r&1Mf0q z99(cLplgi#F8cw+NPNpl+=RSX1<#`HCL(LPPLGL6r!8j5YqLLvIi@4+jc5R~a+9!x zffOK55OhB6TldMx?1i9^bfy#`D;soJaw2h-bQLAloBEE031 zxXoLvkh(S0uc&Bm_QQvGjjORWFOM5eQl1H#ezuwyXdKo=OO9z7CW(nF)9Cy{$f8N; z4{IRdqLHRXkYYnV(g1RoSS#%+`+_bec4zp379tA6K_{$mU;<13cq}&ZW+(b0WWmQb zUW)or1O3Y=`TcA={pmUHHb%G=tv<&jS0onOYzHCpgWAdjSPq}styKs698jcKQDxIF z6yso!G%q`*>QuMrf`*Zhbg1?XWV(!qou7^f4wg3S$5;wRrU{xt7r@N05j`Ds_FqG8 zb(aAH!DE)%y5t6a{&XC0>%i*-gLSe+(t4o!D}uCzMMb&A6tf>(O^Uq>@c{C`XxLdT zEG+Og5oIe*&<0%jHUp~JkQ(ft5M{@Ml3B;-)2#EJLx`4Wfc0Y7!!~}!5ppeJ^{#kl z%0z&^2B$~dhq0ERj=vI-15Feg#K7_|=r=MmAHh-`8pyr2jZD}-0mY&E$f&-lX#;5O ztzzeNZdKt$H~UzP_e*@DC+40Y+C{QyN4JSL2-5(P<}qPp;Akd$k?`2w)8jDr`?o(L zm}l&P((Rh$h}h6Oy|nma-lSCjk;#<(3W;25)bf>fi24~d`W z1WHWxr6HohgGUmXkFX`X@_RcTnLTH!YVjD;Tr74J173t42Re;JZwmtkFx{r5_Td*i zOL#w_mD!>nGZR9t(he1sGXuwrcb%BxYB*rZF5!h%aPLRKRktkT#~Ga$W^lO@JuSPi z)t=5D0AvRI=_tXcDcRlYZ>&8S zbI@a{$Va9pu1n?r35wqCJM`X4{zcD$3V#(M2aWk>f`qR*H*Lq(1kt4(b&_eeS}xdT zBQqtIe>o36t|%^6gFF+j3S!};1`h7o?M4f-YnbM@VPox8>k^*km1S^CvYYsnf>652 z4RXGA?G5fa*}+GfO>~SX`U7z;FEM9lSITGq@ZNlMtg}rbXVO{E_wRzf9mjRDoHZ?z z$OJw`18ej!G7Z7FV+{}s!YC%F9`0f?C7xaw?;qt&4OLG3a8b{Cd_e5hI!aON${F#Z zOm#-&;5F9hlCw71IczOAk_s4d0}tY8zLr1Xg2F5t{=r9?+tM;9>C z(--Acx2b{LWaH)zLE}!Oy?7h(W@E$Vh^i{Zft$a=$h<7uc99y5KFIEr?0xhH4<7V@ zuM6P<01gL0ygUpNlu)cwQ&R&!euR>v8zyPjq6=8g(B*xaw8?>`gOKyl*n9WR>C5Bd zXhM#c*MMrqeEI>ZCNKVN0w#P@0?C5SGYZvvoD?*AmwHrYha(T!Kmxafb^)2u(j*cZ zN@V&?n;N|-sr8{uLPGV)zU$JP&WeMm1k^y!IgCd4p>dDRxlE&7ogk#Ro7&pK%?}1U zma(c|*k0P-0_2~QM^pQ2HAM!~Bb=YyvKIv0GksXqQx1^m+MPx#-KD%u)_C6OnNMw~ zIrzU?0A|2m5@hif_(~?;T-?|?drQ%i!AT5Lj;xBlFndEmHn0GHT$IFbX=cA%_zJGy#cB65(jk%Z zuJJcy^in;s^TfDg!06aLA;yTxdA%Yh5?r((4C`RZCm+>-k-WAv@6cWBa?)cMu19Y} zoQ|*@z=S`LJDhBk3PBiH`!Qs79zPH*`KaLh_(czX3)rH8pV={BYp*zjj+*v5w$9F9 zYjuFVI&s^;gbd&}VeJYy$-NJQ#TW2=u=4XqVq7JhJ%O8GB}tmS6DrFz!1!pITt3>c zczf?7U?!DjCw8$umJl0B@I3<`!MJM{1J4xmo=nRtz!ca#+;qRsQ`p zM6quY8m6^feVr2kQ+yAsYWBRkEsqseosqx38=ea9HTjYki6uoVz@MfsZ%9G@MH?Y2 zbp!(Z7{*+G#hu^(1W=3~M1RPEq5AwCynVS6kcr@en)1jiyIqqZ9o(?dy89tU;;OB{V=n zazDqLCYN5uP{6p(J)_sXR!5Fvmti_2;Ox58`JM=se2ZrtZ>LG;$gmXBcE7h-VFm^d z(B#ASiC8Zg1)JcCCtT>TK4Xo-U+#24+?b(L| zwJx)r3lQaZ;UyFar#6B5T}f_uY5%>v`3EY(>=R_pB~8A!P(!X_Q+a>J686%>b&EW^ zW2()0D^FQ+#iqr-SaCj={fOMh%x zS>jD~mu-B{X?Br>3Nx?OhVfM{vE|u+ zk&cSW^zhK=shEo&uQ4~omTg^vwC>23$BkrRwl!IvW%$svPlHZiNMq&pG+#QEEPW6+ zkOS@5y?ax?i57Ls8>1OT)K8939=A_l9h%0MDgEA) zy%#q51(ubYRij0ePf-4@u!U;r`OII=0t=PeYa{YZmGgTq$R-(lx(G!A9R92!qx`6! zjhjdMe>`mGIRB}kEKiJCL4eh%`zfaSDW-ZVja^q++1Lbk?L;6Hq~s!yrBUUcNJAeX z9~B)<36>D;CaKupKjgBY&pj6{`0)_)xs_3jBk(GEX=U<`i;!{c!+?}&G%NZt9AI%w z8^7JA??r#c)XA?4MCDKyeN~+vcAl)b8h9EEAD81<9Kw|GLA`|R{s($yawzl@>yKgsH8+yf_Nh+TF?NkeB_`Ff7ybNs%?@%-~V4|U(~_iJ3&d7Y#0%H&!Vo7G<}VrZMb1Wc}M z)aA|o;Q?GtzwY!N3lz9G@DN)RfpzxvdjVmUqjRLa5$*(Lc125Ow8WE?P-g49ko|Ff;JF_pgW4Yemyh8kyz(yG9DPqRz ztR^vr>pS_PV`84hjlgbYY-#>H@UdP|I(MjGu!}Plv&JrYG z0fH!Dd3oc=7d!CVt5LW>MqYtSlnA`BPaf+lH|M~74Ob=KZr8h1qy8ww3~|L-mir0u z%1Weo*zQjhN)GQIj^RCf?p(fUF>}C&m`{Rw4+7^D^KX>=dVhzy##=e; zg|kL>-Ff{}i0S^rfs>SC%WyC^NuW#Z;p)3uXPn9-RNBpr@CAqi@WZmu-T~RzgqtH^ z{Pn}n;l(*#sc#*F5h}>w?Y0@1WBrEjzaMrwq*w=VtaKwcs11EJl65swE5J-&`5?0@ zHh#J7S{G|Bl@gZX7EWh3N)Ey zV=4{5rpulTJfq(`)Oc+MU!Z~l=Pd-YEO3^}vp<95wvGa?%Pd%u8AkcIoW04^Ag^o0iWorWX(X*pwyx>bm}yiu0!XS-<*U zWCZ7v-5~KUvj!uscF@^@y`}`S%AHlX9pZVt+%vGj|Ga?_^PzawkEYANg$|zHlhQRm zSk4->w0z}_ePiV!>!|g%cbb)Yj1Wd|pQay1J&O<_n4+%#O7|i^zY01N3fDMq{4}P2 zoSet1-*PK2*i_?b{P9E?q05{&kPHW$pbhH z1|XuC{0lev%RjM&#NIj8THGA7e4rk6`#(o7xa(G+?m@Q<-DwT1j#wmoWzf;FWb42^ zM~kUvy7>9A&D^oN=~pLdceuCV=@Rb(6znVjuoV;)Q?YJB& zJG$F^JE-w#b~VIUa@5q;5^F>ilt=;kh4O-o1xYi2 zEzbWVg|_B1jX_Nw=zw+@8&;!%(oK(^_@S#ZiPM4@KavbC{JLA1c@wuuYPRpn1ULeW zQr+ClhOUIz4Q=qZR{T^?u zBtD!IudZ8{PpnRX8Gd|vR8omm3C{|b2r*70>9C=Kij|Bv{GkuVmbrT!@)KKxQyW|&vzBK>=dE$xD4uTjXE6Q{E& ze_wBg7b+8F46(Z6h^*b_nG;*Y@kjeNmdSxX#~-|IunaafG2y`oMa-)lhSHc-N7-3# zjR4Mg6W5i_b#w`-0KL%p(kO&igC2JcN74FZ-U%rwDRuA}AowHaGUA3QFb_&`vZxvc zvf&c>64S|kOpCyxu7wLbWHPsjh#kS1){zJhz6Ipi8U+R)JZSJ)LhyM9V75g@5&h7p z7P53znEytB&xwYVaDZU@Y~Xyr0DN)c$py&+&K~h(nZtM-=94i1Yv5y1L#6hI>qyTE%nv=D|+_57-JnB zyBrWpg>8Jmpz!Gd`1T#fE&ode!>`c_u^+)#|;xP-JG$81UcVL`K$!j8n^H&GLg(V=%i09t8wF+o7#Y{1GT zaE~7Sa6O~A+qvxqA>=xmXH>-R5ki9&R(2UFAP(th@Ash>aGuy3FMIMZ9CjL(@cY*l znI9sHFYyCTpiK{k+q3Sps9r!_v+x0f48EpO*c=!;_kCc%)B=m)-~*w(m$JK?c^>=q z+HDZ4nNXrq$5D0zAeu9mKlzI|?G6xO7Fid=M+Al*GjL%bz&^ z*%igF_~I5e>3Juedl-Two#@5(k$C^K@P|4)%{G-cefSU#M5f0t9oL?XVfl|!4X>W{ zopEz>6Q49OKbI>1d9O$iY)$({UQhxMY8Hw={Lnz^E%bSfeupuM#XG{Dn#ZNaC=&nv z+%lQkU4|A`m32^N5&utV8|x$1W`B;Nsh zeaBEw6roDOculkvLn$shNZ%#w%{@pg`zI9oG-iVcrNKN$c&-#b$qpqmX7sV|-o!*l z|5}nqMgVTi`%5^iYgqvlJ@g{u;X`HqsD5cFPp9{BN3UFwZ0OWv(&+m5&;y5pnH};0 zYM?x%2!j{!9l{q$oPwKhLWtvx6vGmwrHmt<8xo2~a${$w_RtRthOb=5d>Z`xU!J@I z0{WClC(HdD4MpPT75vTr2~}KOswmnNWoaQ7I4RL_?;b@M{m>>r6{4{F62XX)D^?4+ zh25__#OC3Ui-&s1@Jd%?_dT_n-+Q8SUP;t2b!h!vC&%%jNCH2FqtREL5(%r^Xy`qo ze-7X&XLLf4vdioRC=2Q1Y#WvA&OUHEuKeM?%9hBB0EBZ>cCEKT|0!RJA|+nx*`Av~ z&Z0z?&DpVD)jc+ofptm)09lFNE) zvfAlmOl?t{TqW)BwyL?c{Fm0XVbU2B%B+eOF&d=8mMJ7kT1c$1x-^go87pq#hCufy)`EqN6vYJ)4+-!5nA>JS*)1kauq>Sk8%!C-I_5%+RJ*V)Vjt zp9vX45DDy@_rvmxzH{dw{Oue~{BkUdjhy?e;4T=As9){s`ufMF(>8~fONMuwe8G;y zji(1|60>hg(*O3j_Y~fI7YleXVfl&&cM0XjqeqXPR2gNkS#!fv4)YvTVyL|hGS z3!3kbZo6}ps2xP_aIytW)FHc0%N z%s!x0d9QzDL_Y^I)-x>yo8v;`pQbNs$iPl;okplE%`Hysyp$Z@$)-Iu@84&24bLww zZfLuiH-+y1cE{r#T*oW*P?cW9HJ1i^HhQmUSV*iYhKoTv!QuKlRvZpE>O}eppAzl3 zI1ohelcRv{#GnL%&C@+2|50dfo__m`WG@0{*wmiU*JnwPcj8DM4d>fYB_ket_^}uY zOL2;JPH&UWnE|S+qBC<(-I*w40~?_br4E3*OcKG5(z>dCnXJS9QK*jBMz^) zm&YT2mM)gFpS~mdL&asO(%o|UhjR?$^Q}+mxv4^9->7*!(*}{@dadQrPmH5XJ$g`c zV9>@!b{j@)g{)Ua>CX7H31<~YuzZq^cqr#mdrTY~;uEb_{xD)3#Er)C|KtHRUH|3u zWEp5ia^QMZx?@l0WsBVG_cyQn{8F(+T-Ntb)n2;My-ORRu91DS^Lcqv&E_LD7)1YC zMlBGhHPbt=7Cx#`s7zyU$CISiC|t&z5OUgppNooeKky9=q#f&llBOZIbLZ;65guj` zk9hQ7G*zPMbX-)0b~EAo`{-aBm^xVpR+z7cp6cexKNO}U9v5ii4fAIb&};(kj7FW# z>AzZjsR`z#nmMQdjxeq}uF%uf6$#ib5;z$LQg&h7q78>?r%!1&g{{!aX_aebwez2N za$}$Kx@@DTj=g5L)}uPjN7Phwa`GVLnh? z)WzVAC<3$Rr4HbsB2wO_L^x=l1=MrQ4F#}cGJv-)I1H^9Vf zALBari0pNGPQ+yhU)HyYBlwMJSMmAB`;z&NjvD_^mjv}_miWdbu+#PJuj3u#SP+G^O_omWKg^NdqUznx zodpU4kHy~84i2A=p0cgGDCXsy8vSyAeR&5JY&t}4hK0p79)Wje9zZBL&l5F6frWx9 z-MYWMxl0iqp&uCm=^b{w>gK3@_av!8WzKlLKan@KwlnC$)eTRtp3|gHEqYBY_l@cx zM^$mm=qsLRr^X-roLk;9GDON2A4pS*||BTr7GO)3t>I6fp;RygYN1}Y`Ha3x_>=UYNWwsi|5epRo=J~%z#qn z_Z&APIk2s#;W1+>F)w#H^+}5(?YlrcxlcaX!3GcsJ`vSqfdB|9mD-fU^Oyg~2D-Ys zvSe@QR?c(EyQMy3(G`{g9%I3~+BWKCz$@~HKqYFhZFVk7yfW2tFwi~PXe>TWfE?c) zmxuS4mq2IT0E&RtAl~tsUs7qmgH`Ay?z|WO9EWoh(%v)=h<|@=x;HAhFn=B{no{RY zo?ANQuLYAk3XHZE<=izks<qU*O? z2MFh&>fvm%aC#RE^ra>L`!!H>L~5311ciiTJ$pa3t|cb!#op7I`_%3{Jkvj9zObyJ zwyKPiMg8W75Ky+5zYV{v2VfX_pE5B$oz4^LssQs_MZ}gi9Nmv8SP=WElUsDiAV7D0 z#msTlG2M$hAOwsAhSyN>oB`*iHgdJ?tfiOrK~!0PNKcJ#k=_@q)q+-EXcN3*kpn!b&9;cavCp1p3iYsS&>P7vqmIz5p0KEYg%v=I5Ac28is9Yty>IQ-rtnKQYn zY>bS;g!}zQzw62gb}Z7jfuN% zSrw!$qcDE-fu#nrDDwUL@1_ERcsPFinRzfEnwz~b?|%@O1lhHWDQ`uZld3@S8NP@P zdh;=k%Twqcf-#*;I_57fT~B7XL=w4YF}kbBg%=7w(h^>Ug`hQrOO()ig*V#QTI?o_ zCqki56s-3kK>Z8XZrn;2(3#O9={RM!cAoF zkej3J74y2^nk=NDoNKzLl=nS}im@!=a=-Y@843n5>~CwM!TbFWbM@mym~d=(3Ew{zovFWQKD1;$h|;SHecY=L6k~ zL8L}hG762cyw5X|WClJYf7m26g7Da<1Fu>Wxk1ZcKYU=t!>=J`JbZjo3-@BhbbJ96 z>nXKhxe(WE1ZP>;QvysZz8inNOJg7i42DPwz^S{SL|uGuf7?|)mJJgsR?7at=txds z+qE$zfpCR80rnQR@Tdlnc6OCssqnzAE0oD;dXvahQP;-s=7(!D2V_1)-hMcqjvfmE z>+FRGjaVc-f$hcL^B>Kf8`t03cAfYLJ|88^j($ z9{Kh8Wlrq|DtDU0_my>Wnha;axW1=&o?g90qq2+kO(D5J#-z61c@HC!FrX#O66+8J zQ-Q^-zlsx*fnuC(+LFzbSWvL@*bV$rjv)4~o}SRUxC!T`M_?r5s5sCHhgJ?(9!R%? ztp3b$Vv1!DZV@YePVawQfETV*(n=>pd#;lo5-(owf&I39Z#f7|Q|5iuiU#@aYTymE z%%vNu`Cr~Z)0oA%V?D8MZJEpXowljZ_4n8GwE$ziePI<@a6eD;04Chm=zPsynDLC< z#oFK5;0X?V{4A;~c7*zX=&`nJhz{NF*6rJA zozQ*+`jA`?J-tVvQ%Khd+6--M6_RxQ7kJXa(MN6cTvA$0buu_yR)SHiw(>#+0&~#q{{MIiU3MmK_B`}#{%ZNcx1y}s9Wo<(uPiiZObyR-lN|;bKjv_j zMrVlRRXr;I#optulS1l*X+o^NFixO z837shr0C0d!sZ%zJY#RA^e(d zdLaHuO8UHEJ=c3^0b>nUo6RP*JUAS&G&p$_}NTTi}CcnZV1xQ)Fow6z$AZ^M=urU`9ge(9S zSr7zo;Bgvl;n<;|5Uvr{(=ms-x1fTKiCI1Cnv^$dLBh$A%sa&|C}aET<|Q-&$|06v(4&y38< z+#nl1A067&>+m;%H3y+UI=j)STd%7X13zY4d=@zB81IV0Rt#$TYODn4^Fz?~2?57* zgkm3}U^)|v5^k2hBV7}aQtU$*o6JHP_WF7mefY-VtYszF5gCZi(^-GA2`LhEc+k2! zL+S+c%Hfx6CW>5e>_I_|WvG2&KX4faFpfdEeePHe9G6S#!`uQS>Xmr&9&=--VtnJ+ zNf3~mpUtf8I(#78t3U2!Apy#ar9u|yJ^w^7gDn2F`&c_cbT${yrW?DH8 z2`)mlL3RQMaCbNoF9Km&k0*zxLUDWuU?o$Rlq zfm(}ddrs2?Mm$g-lCjOOJ8>siHW7q!@~(o1D8L(Fvl{h<@HZo5`RLIefPipchy-T= zp2lEZk?91M8!k@bW`egxcP{9q<@ZX9v*X)$&E!vv0J1MUloaTWOZl6muT$*8SJkztQ>9a-j_p_1W!xovOnvx}rn;umCrx%~4fW7~ zPwQyYZU}2d-oFva7$hMcWI!z z*)lM?$O(qakvfb`S~&=*380+R(IrBAgi8J#z0o2iqSq2DC4e{H+}x-!u~_Jz)Ogw$%de`RoHjN6(Qp*D5Kn(X91>0Jw(tynYQ*+y;O~cbW!`h+iQ^ z=5GO}7y&Jq24Y@oP*^yyxK-uLm9^=HEc9kycyF@D2B>|BviqQM_%JIRKxGB4FY$8U zS!qq7?iJ-qW%LvgC{b=chSMy_2a~6f`&>Bd0(lX3IL8}RDq2E;#am?2hEX?VS=k6h z)8Acrk4`ut{W9-#wpaKN*fvKH33$UQM-uIv9BVe{tamwZWaIgQW@3+y> zBj9gogPHXfqe5fFLPsT|h%fSPs@fYnNLf%jlu->|5ejN= zl|_w#cLhB7UT^Vo?Eltx?ip2nd!Jl@W)FV1K8~pNdej@1el>ip&nMhJB7j^X<8Dr@ z#-FUuFnoTBvy31{ zc-v_hiQ2)T#bi;|dVu-T#f#hm+D*89m;Hv*?`T7!cN2ddTzKvY?bO2OpYlwB{m!sV z_ip|Bc&1VO!im_KAz1gE!&qkm`R$As9k+}v+ji&Mhq4xCKPv^+Y&Q5b|IUiGt=nfpXn;|=JR8pRMrry13bLl>vz}$Mbdv2 z(^K?>8`hkqExe#|UmNqkoVgB~XAFkm1*>Qcg)uT>|3+dUVdk9meElcnplLITkVvbl zY5bCPh#+*)d)@iXD`>6P>noKT$D1_0Q>M4Pi zK8%-a%c1aXe&@cO&+hLYXn~BLTPn_!BP_DHy{vFmXSNEMv9Z7qnz_)yIxDX0F-0Kb z6v$)okeS3=nCohxr)`?}@=%NUSnp6(6>3flDxqBSQurXlZn5@C+m zYOKUp05=**H6;|)041&c#8|n|vGVW?kaX$0-rNHZh(9%ec~rO*3hF76U2Q+^+2r!n zgsVNH-|JQOKvAcaZ8PydgCS7vd?V)Lpe#`+M1U~Twus*8loPIQ9^f>N?U~$UQdM&+ zJp2G=IAyRGL*&tW&wAYbj~&f3FNAf5QU{Rer#^7u>j4T9Y25n0=x54faGyb2LFfrC zV&aHO5q+#9r{*IOdi0;C7pBD zI4n4C5E>imN(|Lc{rnK1%{j<8`mof^&=gIaIwldsGyxUz{#{4Hg(W2)8@yX5B$VU% zbzQ*-MuVxirbEqZq0`5Ns1`aE*NhnW9-^{6w$<2*IU7^U%=6V?yAt_15$(YNNrBju zjM1%bL?WkE>f;135AopNzthXJuB2uWRPOq%{9(3$9G`tKW~#!i6$;tKyM>2$?sTfX zD{yzSI&|d7K^%hi%MUu0q3F%69=zqe*$`RFS>fD*xc&282=2V-3q8clBFMWVvv_!2 z?mnHz(&ZAG9NrX0>96V8319b9hjxe)MPnZH&ok8Vej6})?tGIbkf+Rh8u#S68RKRfv8BP4$jUHVeYuN1bZtas@{O_oCESm+?Y9lsY3X5g>@X zT#3&vPs0dnkE|pd9))HH@jSS*uX_G<=ymmn=RJHTs3}la>0~7M;?TJ|coD8amkc${ zkY-!fUOHCJ1m1r&zWV?~Tqu=D=b&MMxSwQ0OFU!KDC)HBu-drAraDKVjFBVDSVMPg zYKjB`wjgp7v;YdsSnYWDWT|2ERRJ3m!sH=62q=$e)hkdalchmuk*Ln9vDg1Tbo1bf zjsAX(O;sIa3StFD;1{sA48O10gJ3(rI2bitLt&NzRTSpEwa6~az4X`owvbxy??oh9 z9=@kQb^4b9T`%j8U2GDYglQt8n8ozZ26O6GucaCbV4ZR4?NHZotzH}QB!xMb>+p2?m<@H6V+QfAk=ah{vm zS&H@@jY{Taq#+HQRRq_IxWWK;B2i`}K^bSw>C5Y%Ta~_hMI-${!YvD>;O<$2yG;(@ z$$b|8LMIbggNtpSaNQt6z-`MxkNKOpK~z+fcHj(VT7<+4OM%o8f>@FI(%rpYRdo&L zmEJ~&orAe;f2IlWh)dn2s01f0chC#n+@Ec9xdw*XbP~V|^F3i0O7ePxW|zUZL7o%* znQH+v(LLS{Y$}uWizis~%mR0b{ulSfu|aUyI~`UZ|7d~HEWDDzB7{8>LflBydX`do zJ{?L?h@cQ8jGm5{jCvjlR|*bk#0JvjmOY;cY(?)yIhQK8)g4llq~mb{j5?=sc8W-+ zIZQU=4B*)uU&Su3=DX0Aski`cbeB7-*||B-VE1c;v z@Yy`*YTzsS;D-y2^QxUFIQ3syJT($e@=EjB>f%B|?x3>XJhvscPI?)sLegt44}W=A z{`vkzuzRv#Yes9m{_>}5EKdt$rHh&hDtb$|_jgsgo+6$)8yyKjn>=LqY79O}3688m z`@lxttAwuwtt%S)ON#GlWqkH;=7N>M3UdRmwPK+K3{^noC0cl*;>8&!W%!U5zb*tY z3^h@NAvqb1oAIxet!H{mZem11OHWTyqY(&B?n(OcxgyKKfE{Sc_*G?!8yy~zKKRlJiUs7iI zn;`uOXlpY@N)j*h0=GG*L3s^~XJ}U*z;lyG)Y$H(i!3p&Bc1Oa_N zJfw)nR2`d(yPy>2$RFgn5!aW82vTx(E!_dsd0May{2t?7KESZ+XobOCIIV1itTEgj znE4z8ScfnxLWu7U@kN)@s-8#xnko~v@@V&hFwkNolcVPpK^TVIWBfal~KkwnYrD@hTcE4GVNa2Jy{==HYfLD2Ns* zX6iEn?Vg7Z9STN;gqj1wm%%TzDNl|aL2zXE8$@PRE^PSwxa9Ods3RH{VvYB^!h%La z5u8015?Q*q2o(hfXgu~p^2)$&rQh%XCV`@+qM?BanDDF1qk4CYmFBa><W!2(Bdi(C*M%&kH`BRAvi1a1F#>klXo4 z#>X%AUO@x8cmRNTs$U^TC+5Lm?4jIWi)}^xcwxUrw1zis-rR=^2V~e_?7RmU*llBZ7tco@}paUE1`RJgi$ zSHmXvrsaOsZ029`A5-MN@b#TNCA@1FH}R{6J^+=WnB(YCA{8Vhu!e>P0l1ScPODMb ztPE|;QdLeXYh1qyL}(v|o&=r!QsUL>uq0>y&KfXX=7w?6rBc!jBsHPj8${*T zc<(F-yMg_WaD@|`igIfVT2~tMn(C;~?+<@KQK8YGv+gz^6+)vT-D)Kw=V?GEfhLy`Xl@-I<2dd{CJz*lz?f+%jq7Uw z0Fn_0ZX%LtLK4eyr5R%R*N!*%2XtwmJ|%{GT04y)BP8B-83%+P_&?PdL8kcWX_~hf zG`rP6AHY;$^bf^8xPNAI21G6mwkxYT7dzSxcJ$lUtL3XJJ{12VL=Z+YDWW=h_JYp+ zwQe4iUYHn|T`C3SOc?VCDg8(RvhRHrXHeqlLC{(c0qJS?vLiZ0m+?hU7YRtj=v>;K z*6!@)JUHq5D{N111){E=N-?HVd!fITxND9zwbxFLKa9wh%8*4pb35_TuBWXMVF$#L zHsE80WAH|m>!>m=^oIC$Vg9@*yY-Dqpyolcz@g^Wdj$%X8YECx*#mL3=H|6RbSL5- zuzX&m{aaeUlb&lT%5n{F(%GUgx6@!fC{O3b$3jnLAAP>F8{hCCVQ+K;{l*%v=&}bV zTZy^_Rh)@QuhAwXv7?HqQszKd18y*s9PEHO{Wa1la@gVFk{umi)WHtP&1)GzP z`13?miMzE-IeI2TmE>QVe#`T#6i!=u9FJ@^;fv_b+dO%CIa z{T&-KhFJ9L$U+i#-3{XRbyUJ{b{8$3cb04lVlP>q`Am^nzVY+On)|j# zv)V~&dZyJ0gi^Mz<*+s@9F|Z3dF0|LZ@vbr(7*g=i}PJ-=O4QB!{i23R5U9h<|c7Y=Mi$bym!v=>h&ex zxg+^qR!Zva?|bj|I~`8Xjl0f&d=7yobTPi-VH&T)Xa0S)knkK>9D&hH0)1r9Yu#43 zSCcER>$UE_tsY1 zLmOB%Ky{K85!9fy3PaK1@h|M=O)3#uuvuxW4XOKwV!?#9eHZJ{)^qQFTmb3(E50zQ zuDY5;QtSfRZ>^a@n60q!w?72YB3io747gjgBpT!Y6~)q~pn>4*)hnuq>+oE#dL3_6 z&PL&46P=^Efm1azws!}aH%4)UIp_2+7nP17k#Wv)ev7NYzT?2Q-RjbfwVfx&CsDJ| zQ0}(h7E1}?)xGjN_$t~MQi@{k;H<3locT?7c6%5Mw^Zl)X~>)tJBB=jG1z^iqBsv7 zyxtM_O!Q$4a~%k(V%xcEdR%Eqb6^|89);9hf!mL^Qn&|#Ewt;Y zIhe(=Kc-aXvpzNK?`Fn*jXA&?U*h~mYJS}4FipOVN&6#|+Nk1*2-LI$i|P^PT)~Gq z#~)COs9zoK;|(|9*5SO_Hx zzq1Gn2jW$#8%sVV2dK)&{r?tqcGcJ7#q2m$MT>GG!O)*b;-F68*3UqVo9S4l`Th#B zSFT26BZkcpV?VS$jfZcIetlEV(}J>)$!TnUaO351<#V7-;Z(H~dZ63690#C<^DU`_^W<0m5lG`WSfsQY%nL+GmNRll)T@9#x3 zjuzM}d1Xg-Kq!nV0{X!nR0$?o!T1N<9jlzvRr3(3QsQ67tsyq6A^3`-xXe(DJ8~5xTBz%twO3A zWORX#UZF?UK!9!tn=-DjyCw!G^@AeFD@^Ebw3BP7+bsMz3=Nw+2uX&oFE}CHkB|6- zvCz}(_58l48RHDF)nw6L+H{xC|J;yq3}dPYobmse&z%jDlbqJ`jNgkcBPA^%mlXO$>4|fLuJR)aqU~61 z;6s}Jc$tA*d0~vzyY51p3{S0yj~zzfqvff}B!hL7Pj1)U2hGp(r==AO@$l3&Cct}{ zM76l~6zZ^_E1T}H$S(#YvH%F@_DKIVUTy05U6G@IFsbCA4gch4XQg{bt(NDRf{D8UJcUWgQtRJkTu_U4JkdiOv4&`m6Z;|1rh zN1lhw(?{rw39@9nDM~5lx z)O{~Oa?Yk7_Q8CFt^$Clx75$U!AEyrsJ!FjLd7|w+`i(=BeM1DEZiQeP_a3ve6(%~ zyc&YT6*Z{q8m(cfLezTIeP22zbm;1X_i?NL>1=L3GJc{^&G67!F~iDlu(+s_Q*KWB>z96ZN zEa0JYKiHMj^c|bl4vKc)!50cE44a8iA2v7e+k9Rt)cJVH7Ph@gtCUm zXK~s+zB`0!ISNj~Umbd({Z#jx8(^4OMM0{ebY%q>kParE!yi+x*_gvfA+(tKhxRq%&{UX@7!)G^iuK~;SXm-pH6VCnoE%z~j_b$DU@b^Pf zl7Ei`uLJeSwPO-ai{7QqCw#oUS8V4O_G+lB2b}m@f+5(2xYd8asjCOjv*sry>_GLxUNu=|J;IXl8O1gX@*(|8xtN&P zP0ZABU7NHf!3+4~wxxTZVZ7m$8|~su+~a;2^P~pcUjp8Tv)WZ>1-?NI7|JXAp+{f( zFrJ+b?wP;3?!X;F|Ew1Yf?-3>$2vd!M>D_ovC_6X{SxHtgG#`38c67UgHhQjfoG<9 zfnT!>QUmw@`3s@trVU4DUJPN%U~1|252aCLm?0@#hQ}ABUPlZ(0KbP{q-MpJX)S-) zbv#y+lVIaq%1H|5Cg}`I{w;qVK3hJ5Eg4*fvVY;UUnhtg!G+i&4!eXvBT(48m-%n? ztV+*Jc-wKjBuvA7|9QWGU7PC%R68X$mdS@7D>Zk~_${X_TKVjo{fs+E96POupO7D@ z16YJqmx?E{uH%QVqu2o`-aT0r0^Eun%uBphZEx=d=BCd$^^7MGo~dJ$X)H}0fEp*= zpsyTYG<5*_(C*aNQP&~0`u6uPq&~?_W%)j{XQ%_@HP%lQWhBTeV2mzWXi z;TkL}f2w9 zU;67jdtR3hVTXFRo+qr*!CEAG%KhlAyM9+@Px6ASvLiu%^#V8dfIo}>EqeELD?Y>p zeDRQ?Hr1^dzEG@$&8k@~jzktMvi~|`NfM!hgb9cfEFCqHy+j@0)j&?ZHJMGR89xs0 z8wFoW`hE~nig#L>TFhZ&MR#A_s=#NQe>$yvnzpIt0V_1R6sB}EpUx*aO?k_guV1;H_K&noElQ@OsZ6gj z%{b~9JXYbtdv`>(Zd38KD&X;$`CqDC24#dy;zEk{P;Su^C0|HuZompOSAC3KQOYFy?sg$%X3sJY-Rje9p1R_yVXKNak< z@rBZsXhn)_*>Wr4aS{9pw<~6Y(EgbZfJl96u(F8AK8aWNpnF8IbQZqPgfVntw6DB; z?CO?jlg3B?XA-Ge1-k5Q9N{N!)SrK5$gVMl_*A(9Q7eO7%zWc{Mze1u)}RG6`*A}B zR5Uos$hP&N23=pD^yvUep9C*qqQHZ;9KW^NPHq4gRij}F7Z!+PcfL3dx$78@m@hLH@ZxlAf7G*Y z-~S(P#y5k7_YITrxvAD83AxSjk$os_FklC*h#E4;Q*sG>Cr_PXq=4KN#5N2ex!n1) z0PXhiy=^^CiQg}F|NU4&v#PDFrjs867A5dky8Xoux*Cye4%Rx9ZCp*3m;d&pn>NE$ zQEs%eEv>V)l@kN^yK4TbXf$>pc)DAmzn*W@F{F-}g~hIIx090-8GBJ$kXvuSv2D_e zA3CMqCGXFdlb@R3hi_Ad4-&MfoX#rScyus0`{?6v*WOfn`jolUDTHAJvWwo`^xr6K z3{L$-fq?o`5E z<+bP~pS+X(3V5VexyC63wFYG9#;ow5{?KOr49qR=}LUtx=UxUW%>nDPKciljQOjnH5=1}PW;=pi|?ICG8f`NaOV`dt$d_=%BQ*2?l&1?R?% zVbG@4Ndt8V0lB4ihe#8f|F4?8HBcv4S#JA!Tq^wp#U?$pxU22Lcp8wMKYiz;Y?B-=Nub_aJr& zpTb#T)b88K%NKlBSy;oC7P=tZo zkfm}iE9dkh3PaS5?(YJ<;^o%ziZ_|QvmA)x^n4&tt-%q}>KQ=2H2tiH&%U2!@jS=^&IS`R6jHi*OH$^x|Kh#ScSCCG!tmy4`HMezTVnt5Z_kRtu9SCs+J1 z-oJ_8yqKfumXFy$_ad$%w;};ugNKf1Jv{Q9f7d0c& z=QU}U?)@m^(G~x=4jss9=b zzrGZ0SV8PaYC_%pUWyu?C3d66i5n0ms2m4!NBaHbIiBH1`n9sFU`O>I!naP?tf);}k|u{5HOVf?S=p=KD$3YRp4G~KoH6WCQ*+9Dc@7vU=B zTuM?w*lo-fw-`UEcn;fos~eKZr_-G9D39l@#PuHP-00*pu^5lB%bI4(Qtvo~RKU^u z!*dwr8WvfCgK;}rb1URnlU<8(ztrcZW7sv$^p$PBbrh#g?Mlt)oq0%`p7QlsDYI$O z)B?@n`x=Zx&+A9rac$Ul=m7gL?ICXN(o#~M&r5o$aJSw>rv&LQNzB;%l^DjFtqN?n zu3&EJL}(5pg@cDDLznX?oYTGy59^@t1rPO7>d@8a%;LJS!ob!p-o1YcRXlBOHi==n zREieAZxiM1*+Yk}?oPdxAxfpLIS_#HU$PE*THKR!B7zQ6%bgk*@8gYg&_dQ-Vr$NY=M8T zewIAEs&NG*U5bq4lCJsYHhrc@AIX;_a)t46y|R5E+zD}bb+2NC{ogH0FPs=kT|u}< zM;-yZPbp1F%OiHUGd|Ee1)fj9Bx=UuQAjn5KxNz7~w^CYSBleu|kLPqvzbus?yg7l3`rO}W zAdqUjD%YYPyQ%++yj2ewoADwX1PRL64Trp7hMXvBQvnv8qJsO}ZN-WFp8VYE-5V4D zui5kS1pIP*kF6ZWbbleh*$jK1EkJ9~0V?J|TU9HI$jdg5Xn!jfqaTq`>Gjx1mvhs+ z+|M`bgJj!1nsG9(wC_Z3Zat~!b80(ZkP@+I0YFf(vIo>yOmmO#dS?7is1}?z+AWM_ zX>%+*=%5K4vaS+QRp= z_aB7ZSN5vL!7_{q zVh64G7;7VF&_O;I!p>d1Sc|QfaD97uI7(UO#a&K`xPz5om-=pHa=O{V%)sEU-S4zD zxrLIWHE#Gpq4vaS=<^@*&q-vb{uKNTQhdHr=j5NqXjXdS1Ai*Y%f~ip!Ed+S>+Un< z^o$G}5X~~Lj!J@>!hrrUgTL)w$uvZ6fChhc7f6DLPR#Of_yM0y#i>j>JQ%**BtxK# zzlql)WVJF14{{UyqF6A&)dS&z`iZg)?(U0@+h4rbd~yq^i^cG`Pop z{`^VYgmA8Cf+z9coFLT*PXkl+h;1icSD<7^$FXIKEkRTv9MhzoY`^gDN9CK&UA}w} zbSElP)iWE%6ZzM#mu8$u6RN;5YTcWANP_co7l1KdbmfH9dFu}b(4Lwm)a9widrS%Y zYWZJ#7VqK>Tu&LdFE=(c=!~_wWtD^9D(}`~+;v+|%{Z;UST$}!c-Lb3-xT`${)P=x zJyzOJr5uH**3`=wE`$#aNbgM0$F}I%sitQ4mc8~*$Ap~=%b3+KPEJny+4Si}*a0wA zsq6wcOF98S)y84?U$${BMw=C)$aL(a|MD)qMWgFbntBdiLQLfLJ-Xu^7Vb<{EKXkOlW46k2hWcGd3EQ`9rfz%(2}edlI`n5e3tmx zn&LNa-oFDX*ljNMH|I(+?#p8b;!^1`lcyML+<<3JBOI=BQ0=X5yo@yGfeBkOJRI4> zZ9X~cgC;;Zt47>8jQ*Edist10U=zT{`8^T8ysLAZKJC|*1{TJICL%3u6Ov2!#m5(p zUJnYA`XFYs(u78X$xW}*qT*Bd(!SWOrY@KLTn)g(eE`6nIQVQW?K8Io*pQ<;AlcnhhW9E;UN%Sru%sTS=d%un#cBcvxAb zpRtxpXjl5gurV`p{yTJc`_&@f|6o5OsUo%q4w{-lzx|HrXg`nt2iH`)K)XhIwblF(h-9nln;996qWEfbBk+Rsoc>q z_<_pUUJ;Q4sT+wG^8aS1~i#> zVb~}Zv<wpl1fy53{rJ&l<*tP91H-sHX@=CAlrFo08kzh|` z#)52nBGp41$%kc81^kbg2m>TJ&>VgDu4B>jIO`*RYM3~Z$s0M^QRxNafXH&fkw={L z$#2Fqiwq^fa(VxI@0?#BMn<4l^eYPvP)S~Cx}N?lIkox<$1Oe2K)JK^#)njAs4($VL&Jp4eY`*~T?vFeF zS#a!+@F+t)&)lnyj?vXoVF&7H_m$57AanIpCeKk&-0{#)ogZQ(bWRN8ton6is`?_( znCA9f;Cw>6Qhh8l@4xj52LH|EGH)NBoqtsY0f{)2|7p)+pkT~ZkBKAgfGLttvd<_t zITWNsZQ)0H_uOdATmTZk*tjCRfY9Yk%rUb^b@!Y>J6)9dtit8vzwUyA zGbP6T4sr>^Ql1PzLC&qpKo`yc>CizacuuN=w87CN|)h4?M5N@c{d5!1hpA%>vE@PZ(Hbl^VX#BpOUCI3d-Qa4{vTU!0*-aNb`Rf* z3JsDel~Bfv6-fx85``qQjAg3uRK^TZ#u6o^2qp7WhB8K`kR($?W|BEF=3CeE{`daB z-|>CN@$7f+x2JO7zu$G8!#dYmC-GuMUB|aHT;x0zcaF;rO9bm3ej}Ahia=&0Ds|Ha z&=5d>Ul`$S7$X+hV1oZ^EsoUH%N9RI79U`;sgQ4@6a~h z^6`=1uyuN!|I9e1qkhF7@|Xu2-~y;iS6m_r(k#P=DgER(r>z>I>)*IGLG+ArA^*~X zv|hpW&9RiF|8N1)GUq5i*W0UhhW`#lcX4M|#FSHV{3lb~P_~T2yAEiFu9g4%`DKLa zgJY4ON@QU1=rH+1p`{hpSvws$|D--&xr)20(|tbIPLJZbOYXD8C-%haTSYHmAf^bN z3kTYk(E{v?u^21eO*tF8cT2H})~N`h?*UO3I~dZN-KW6YXYx|>s&dMcrsJ`t`?o~0 zJFNUrUxuG{Y<@Oa)D~POXzV|Bksm|&aq#7|Gv+rg%va;AX+6UHx3aRb7o4`OKZ{Uv z;Kbq|pWJc0#3|IyWRrJxc^;5ZE*Nu3{SKeY!Xu;CcSmIze%N38=OdX3oXIA=x6mwC zw|Ii-g{gT>G>wqcqkpyxVHFv|v%vI5Wag+{#!~~@U-sH}6~0Y=&X)OW_X6Y(S;rj4 z<3DwL^*x1diU`Fqq*WjP>$#7Ne=!LKwDLV+Pdcj~g3$$Z3X%IQ=@8Gz>IqnL5FRq9 zBVd$oy9&a3U9{}d6$h=MfdM~6;3#|5UHQ^wC&xEnc1&zY0lf7>mIwc7wsl)Lh>&Cd zrdCv*KX5F_zEbJyzx)A3!fCAcW7o4J#1738LEBZ(AI zwJ%>4C^8p(X&>DWymjKkjsA6#_ifu0F8A_>U8NrpyY+*4{z6#7=E4i5;+^Hpx^Ft3 z{biyXDi59rurxWVtBBcH%Ko7Yl)#6f=X8r|AX_$w5{FW2n*4xu*^`c%lV;GppR8p<*BVLnXOU)Rh}^%0wyYFw=vY%u!wztI|zU#GdN#162t8odDh9s}j83}^s@ z&yGP?p2yy5C%MhUgr4s{be}M`+2{iLb4`7{Cjpd&=?(Sv!cO9CI<#bgBdyV|fMSIhg)##xd6toW{NIL|-}I8~8x3 zDbw^=lnW4VwxB*tgD_^6M@{-c>L%v8Cr_Q)gJx$BkU|RwP^S1^%#b-|X_@Iqr-X0Y zF6jYOZO?(e<72+U$dOBk7Fnh5Bch{E!`P1ds*X;w_Q}e;4Z8WV&~4E_xN$CE?S02} zst$j~jVfGTi7A3Jqh|ooLgpw@DLc!dtLLnJ^d>`^oq&lSk7vN8uq4#+8y#}JX#aN^ z6LSny4&NBx`4(%j?Tj_)&{doVKk*1LK2}n#&Corke*I4y9qm6c@hvw(;}H z+5s#0I5MLtcUx#T$xOU_^@=ax?pk8GyEI`4Gcm312fE0GI%^MZhW1#k&C@K5(XzIS z9ywy5+XPBYMej`KpgaG$WTwN{eli_~9_H9U6Hs82$$c4xWjD_j8z1*!T%VDbm&d>d z{BAZL`W;5l&ifRF5iX2olOoo?bnPYZ%Lk6h`Vn3ZUqJ?ke06OjhPEiw(cj2uUA+C4Nm z&yIm`HB6Y&^*OBdF=%m|-v!7Y)*qUa!lw2`AfD@}y~4~~r}pyx$0y)dY2yqzte*av zXc;a5LlROSV{L_nt*<_4{d)fmGV}KlRwgE?2f4D?WV4G(9wk=%M~5Z+fG`wNTT7=` zX1Pb-J%8>+a4BLhV|6qH%3ln6HaAP$1MbEMw_i%Asps@yuF7YV71njx8rxKOFWH2< z^7C9B6QsE@eDc72c>9yq>b>elaelXlpKtwgW#-}{jvhCzozNASs#%OkeSCk)f1u-u zHP#N28SM%wYd_$JffKU{4k=e+q~j*Krzg`znab2tw@yJ44*;tS>tg(ZX|`atv6 zN$pLl`gy;1F`*TCt$GcVQ6Er8`0uXZG-S!0hbL#s6LTd6Hy)x2vH7Yo@Yu~5wj+YM z6=1YKW_6Z-ymm%!D;t|X>_}90l>S+OPS*@j7CfuvV~ZMCR3C|iK-1v;YSINBOw|YV zZr!@|c&-m2`&Vy0jgbC%ygjmu5QYSz1r4_GNea@3PzOM|PY0!GZmo?a7|5H?GH9L| z{-;aEp_dv*&Q}VXsXv?&E%JqG`1QgYJZ>yI3MhY~z8u*naT(B(dXr9cTr8&JWksM7 z_26~}uWf5@UwB*Di*|?vpF%iFQG~u-wP9a9m#nR6xPAlI8p{S`8|t4S=vcPzI&DfM zDd5bST&Df8qj_O)eKRR0vJ$jJHMWq`Z?wo ziDzGJWQq8}2lK58xXx9S zdQj@^M&u?kH{uFJCSEsL?T8EprIIp0jpFyr)TL|Rvx^2rGRoVkGw6iZ=2Pg4!VmnD zNVQx0vvVx9;RP?2w_;q6`+sbasgQWlb8&CahPQWk`GXE=upGb8-n6cqzGM&0QEn=Z zaSn1kCexN>SPrSKTm<)VzbiKnif(1AtuLtEhE`VhZV-r5B6<6RQ^((3GR_)T^Ruu{ zZm0A=)d^Q0af54(lH&vVw)PyXvsY*EXX=?CCLn^#4Gj%>?9ns?nZc@=y0;s*bRB$) z36PJ5Ic%bm8zk)7LLaxSK!)9* zG^B0ga@9Ac<%zW}_-voysZ;R98g_D}Cdc1Mb*9OB(iS5K9>r5kr3{I7%^y0`!CW@8TcZ=H!?2auQ^r-t~}G=Qn@$ z^nh-Vk5zQi{|uK#_w4F(c6E)z1_`n%3=zi{<2mdVC%*{I8od9#&k52?;8!3B6x+6l z6LSGG46=e92w{V-N6X>}NNp)66v(zqEO!dtb%X`eUKZ*QkO;99D7RqM&Dr?^fJWk+ zckZ=B(ppX){`yUre?mlzT{&Aa$LgjQfrR_=Grvx15dx&RvGu^G-T9!exJW7LPmt(Owm+nsluzN4N75BfK*20IDn5h zaB+V;m=;?%aAi-zEL-10L`KH&n#c6ilsCG*f`TKM{`esnkwsyf2kvPJv;{%z)4}uk zQ$qvm(_Wl}vl8jTHqkgiL};e?7N6D!UBVAUqeSDPcR#Ks;mn}>&bM&|tA zi$+;e32DpaN^w&;WL!9N1XusgoEjQVyVbIcB^*j${CrF&P|DnaDd7c-t^#edWbqBi zS|zgN3$r-@E2o|th_h`3{XLbF|A))6!2ESMT7LjQz|>u}`)bqSH~0d>uwgm2uo=G& z3K@~~@IE($VAXp^?4TRAH^1>br zF-;|-97bD&31*3U2^}?ANb{HF=kC(%GY}naFP`tEhpX;xG_E*Pl{gdP*MGGQv5aex zoQfhuQL?5=hLQf!Q2};T@~0iQv4*bMogWu7$RqT{*EBzY_gk!tV$Yp-{C;8&6!_G| zDs7A_Sf7af^Od@sMtY|L=P(aeW=HMU_)IR{3RZx!ZEi_PVM8m7*F*1RRmN;mSLRm=e z%5{};VBCWJ83>cVj!I-i_#B#gk?^WznqUDeo(OF(aDj<`vL@@-RK0K*6hsown_u4x z9#uTlI>?}SB1!9|Zu`>g=y7A$5gzz1`=gk(#y0c?AO?@E8^OVR|0RxTll!h2rri(X zyfL^8gYqcgUpt8-8?qw#PmW5!*hF(5u&`;!|F}FBjoAU(zR=gf7%vRF3nk8A;8vWP zYGV)S=}AJ>L#=SG!wffHXNikTNzBP4$A%fM%k;!n9dk2;m@ovJFVIwxjr5=i#zj`5 zzZHnQ)4n!(QQqEe#zPPU1PS5dyXfsnwS5xZspa4_ss}~S-X(@D#iC^IHohJvrFsD2 zt-A^j!x@PW{@CCc1rWD+7%|A_Y!PgJo#Rk5^uDDNiSyjjt2fZU#3-;ju4CDaC}_`sND$F4kxY}I}!Dk ziIx7!U4MW62hv${1f)37WGB}R(YRvA(VNS@+ z{Rl$dImt(mh$%*NLlg7yi(dZK*ybF~MUfmSU;n=M`ri{9ceTe|%Jc(~<@Fo8`ajCf z*Rjrs{*B!~8^3ge$rIR3wQ8cFp;5}O*2$IrD2?HS&ZQ@z7>NGbOfO;D&#XH<%CCIO z*gUBL?X}>bclVN%Y9sW4Q>+|zJxA3W8Fc*mZ#GVuum(@s^*RjLQzrW2OmW z!ylQN9^m#Bh|f@2Z^cLl_Ae=?*9U4ilNsb>N5qg-AhDK(?H>$di2HzODLR;|s>G-6 z@z7NcRM%~}_B$v+ydQ9nA14i<-QT%?>o-_}l8re|YL#SVRo&xi^m_piX(d-mJXZ5@ zdI(K{SXw8rfIZUE`c}Pjuw-q2W>RXl+4|n$&B}0|LQXn2arWmn9)$jcfF|f*ql~K# zVT)`*E{4bj(@CwPIAh-6(iQZc62CESm|&U@-9-vV9du=o#|jzt)v|-9elYv%^l!M6 zNIf`;VImwBw3-ih11h&mAciu~om0G&Z+&SjUP~d8!M=LqO(8(^2=R*|^duPUBtJr; zX6N`KJ%_0c;N{P7!K|2f--TLyC-A9kslpbXW}jQ!XS9(-;^S&SbPR2Jli=p}@&-`xEMIhm~40~V?sobpu! zv(ZgtdlNn=i`DDxuy5Kbv;j^Z`#uXG0c&Pzllk5`=@istVjmfklrhL*#pyL`TK*n= z*aMF>`0}9MNH2EE1R{OVwF29i{J1Y8a}{={iYxp*h!uHBJ#LslG)vj^abd>Us5D7@ z{m5$jf}DMjHDtQXST!%n?D~W%jQV)gzpArO-f7+pW~|Kgen1zDnD$XZu|2feA)V=^ z>ci})>s)~FGkr7HVZ;Lkb~|$`)FLP))q=?%oaZ-EeowQPl_h?{}JD z9dB7jM@RY_?~;=Kg7?_=SC4+vI_u_WkST-kXg@oT-aE?8Hkvmw=m84{j|s3b^&phP%J>xT_WFC^a`yKLu&{ zu4Xuk?AX+`T!@*Pu!ZC9z6*MA3-EX}nmTKbw`AImHZ(2NUKQ=WG{qvGV{ ztxWdnfra$-sUt=FpNpG8Fe9}2{EL!Njp;^5=1Nc%?Dwwlj7=>JC5-{9=F;wINVb+M$|88H_!=gxG5iaK|WcP`9;tgA1`iUF6wy(1%0p2ZhXFsS|=1GqwL<69G&i1 zde;8z`!n_H;eHJ+vJEl~zfe0}v>Goen2C03$f~*q{*W}KZ*GKt?9&s6^U14iVR41L zx$piEz|&;6^goIG?!f{t7K07J)H|_v0R+yp^kerXy$^D7mL`;>+-~aMVFO$6>Ix-(QJ?gsF)079noW7J}Fi97WQj!W3ojaf8f6@ms(dQ76J zUF)T(_Fdp?LYqvk00opK>`9+gp8sV|8XpGQ>%`MP+kH>McrDUU+7s!RhY$VWW%$_8 zx1!cH+7vZes$(23)4d(}UeC(&B2rFNMMjkHd)@Urm152Qnl5bEhGy{i1oJ)ppq ziPCjm`nkZ7)!G>zP5OJf}8CC20-wT`Y)UTOmkqqASu4dIFp;X#u< zy1GYAkHVUx#&h`Cv14hj@dnTo{XISj0xpZWtCgi?ECR zJ#dO6yd~`Txtp|`HxC-KWBnZZ>{3Ln`Fn4`wn0k%j2h~`R}pXt#UN8lQ6@T?GtW_z zd7~dQeD_ZPy$HHNu;xKO4Sn|cBc|2?*h*GvR?z6Sna*X`ryLBu;#du#;bA-Mxc72r z{(IT|+s!ouAChSy(b*NH)A?kUjQ%5y+LwZPRR!vMB{L0(c|f8HL7y0lSBdLhQhoNT zajUMVylsv?V%?XY7M8c$7Nz;HLKU|NcIkuBpIvvp{H}LkTy=K0f!2f851mDq z(GwoW&R{sB+?s?hLEb5l_beQ>#+7>^Ap@feMW=I%MKR%%8DGGFiAT26TjpK?9+|#< zMpF9@ASAEfrI)G1YWx7RPo^bf(o)kDE2?LnX{RN+%>HDCvr{0b2&_2*PXT1~!R901 zb=IcX=|LO&v(x8)te(p4MF1eP4l+L72qR*g`9lk4Y0uT3NlS>}Z!rwxFd9SG(+uEk#otL@%wWGWB z(}-4f+1ni5EAOkk(O0@0haIW$@g)t0ps1-`ori%#mtEN2x0v_J`HdC*=_@j#p^Y*5WU#0OF5rL&3lp{1?x{RQJ!PzZ0ITK|g+6aEHN) z%-#>k%=L1Uc{a^-cwFm4SwEQ}Cb%a*(@(3!XmLT}El>t%b~eKX1V#hTaf3+V3#Y#w#3ra_tZet2rA;@q7dIWX)9c1TlQ_# zE;820U+$nLjDk@2RlY8Rn=v~EpH(QZob^t%et^dZE^Fy((N`1={U-x{ujrh>(_T2( z0s0n_q{*A_PaJMQBEq|Lk3<`pLZ6#5G}B?LD?s22J5gT{+rb98rQn9?EK3vW>B>g( zA_zeoV*%*gh{65gyZZ0`pf8RS_&~NFqMvI7e$uEbhpLd6%i&)Yb}j$jPKgs2#ir%d z<1uhx1ksPjZE>IZMvOYjaU2Ok*m&?WFwm&mWsIL*get~rTmbL!63ipOzqVNE+RT2? zzl1@|&WVtsMDd|53FEvW=IC*Z^+@@o8P&AssTG!q6GI{t0qt+D44+h2msm96yy&jQ z&qVBN5qka53#Vj+A9llH0?`6482h93iX3iJSn{$)LVIx=xJLk0@D#?>{lS^?IZmeM#pO4{C7hY$aG z4X|^=mMxEF)y!=+ekFA@x`Q%1H+L-3CaV&#m#PQ<4Qc){5I^c}$AkhaPk*BO?LIPjGa=#23}@e(Mgf2^U=9hEjj~QYO=W+G^WFnD3C~ zoN%`PWos$0Gn4_Y=9+61PYsVz3H@=vhmWUrNywb@Q%5z7IzJ00fC$pGsDaQv9>>Ir zI9cKg20hAQnk#3pO~3P(qYiBdib%z~Wa86z>GYP1mi)C|6M=Xp^a_C^V|s zb6E2^bD>l9Wj5zI2VdHK_|A4(e5Oy34g=RTMxAP}OU_Isvb5|xqsu>oT3X8`d;f=G$?mM551gAl2QJ>I{j5xF7?t+4yX z10KyRe>^dofH84{(h^;G7ym=m>yW(yNV<@fj?Sj|=I>!m<8GAoY46r8Dn|;%BLZd5 zCBcpBl$zRuLf$fJ*99Xro|Z4K!J^Td#dW!paf(N;wyv(f14xPeIfMNVE!59kzUYTnH>MXLm}nNGW+7wvc{jE~il zd~ToKwfac$atm24+CMnCnm^nCKz_pDzZ5f40oO${3=IVE{4|5Y|EfG^Q>9e(1k*mh*pqbJfr*vv?u^Pu*58S}% zYazdbCJ+53E=5?xXwhy~5f~7*FUo+(N^hQSSw0`SxMi-lg1!a3r1op@WINwd1Y@c? zK;VO8Q-FLTWQrvM7GC^4rK*{C*{Eg(;O}Jzle2AtHBU~zGKa4!eG2%O8KRt=UZf$? zS##0N5m4WCXo|>x!fVEVsY8l^vEg8AC2WJvC2Dxzs|9XmhfL&W)qqk%H-ORQEl?353ZKRBP3+nJ_hZlT3-u1c#tUDeTSe@uO zQ5z5KwcRa|^y$IbcT$~-CtFC?b?WkMni?n$dE+}75+`T9$@J*&Xb1V|^(StQ$AcvV z6NR;$SH86(si{Yx$2|s$J;X+nFiRo@59mKCK#7Aty1KX!P+h0QGUAq2(g$P?AzqfX z(}iLLk4H=;AB-kiFuCy(vB3ez*<{uZeHP&wL7U^(KL<#clb`>Dj?Wr_hK&@$$HJ^N z7_loL%mdzTQ6c4((_2k`0;t$PN0%-5=?N1?y5z?rzY!^1jW7Le4EB4_yF5HsVrsV2 z34FD7`;(i=vI(s3#r)+qVeeq|HX1HM1A>+U9DLr|S{e$ZU!fCwJ$^7EC!saWVWfi}o~5zexx zVGN(6C8ZMzeyjbl?RYR-nV9zOJ8gkHiNGTCjg6iCV@3_`0MF9PtDP94@RwXc>LNuH zhE?=mPh)#1Uaoondn?@p6qksmB$}sAa)WEQe}v|2sDpNQ)%3P4hmICPcn?9Zk44NB zY+_yZy12R3+UzFC0y47N3%4k z$gq<5MB$VYmKE+zEZlmtKOLLj0h?G4vTF#w#|p6O!DM6|a6>W-BP%cP&UnIYzlGyq zKn{Lv|65&!&-c6mC0W(#c5u|2)_aPbTIHFYeY_Y0n-Zs#vDZAo*!10Vhnx%I{|de5 zb9@Ns9Lr%m{256trLVd8BwjiAJ?mjQE(*vz0Du&c*pReK%utaiyu@!4TS-8Q*Ykh| ztp~Y72{#XZIRQskm$xBSABQ-IEMUgrrork?c|32ltW?oe&z}#6SLA9v$T{h8n|gKC zHSJ{oNhZc%@1$#+^B9!wYcO1E16#giB#Q?xaw7#>|FW%%eEYcFZFMnB#)&x?fnBoa zc4=`GD*AS@EWQLM#SQ{NAxzmJN=(p6X~*YP?%D-zQCJmL85OGG3|e#?h6t%~#~fsy zS%@q9bM)&0-JKPD_zU1G_n9YfWn^oPZyHhRV!;sB4nVjNj62C+sFlRY+JkL|H{88=RkMX;g)0 z!&{F#8&R2`u@~^=2+=|X*eHwflNC7FR{_kZ-`x>ZdgG3*nlImZA4-<^VDV z2hiu~aW4ICOAa|;6=Q3EWvOm!cd&PO4*}vO;l4{k%1iYtHs;Xu{&aDr!Uq=XSl--E66fW)tUFFNc z1GzhAUZlUgb7%b$+~HhyG=Sd^_FyWAtZ|N7#xA$}s3|&eO0-1Q6#)i&hC|sGHrpgM z!1D_ZFtn}*Q=tYI55k|qG?|;rk??Z4GdtGtsK|XmtL0jDZas{r{5@AexzTGL?C1Rb z1L}Eh6Vx_`-Xg`OH@egqA);7i8yn1RHOReD$+iTnfTw{EJCa+YKwE;-Y&)=*V3{r8 zWD9)DfOVDo3NZb!s=A4Zq2s$f_Ud&<9bCr_iP5%3m+vK>CM`F$+RAPbX~f3rDDfPq ztH*_RFf&)IF5yLY^m}T%o&CyDh$Cx8(Zz3SN0@#qTt=t^g(2TMDv4@=>H;WFmMDS4 z=AJ?iLB12n&j+9_ox=%Qv+HcPRc&dlNLN7#|F_ozfs$%enV?Ia_$JR$s9X+My8U=a za#pJ75$R4vjzT3(4Ngm))r%aNU~6W$1{~U9OVfqoIqGQ(R<`YXvVQ^8$N2rQWotPW z!O-({9>?g3$1pipGBQseVTpM5r2>sa0l2}QQdfVNdK}&~01N{@8KsvRB&cn#SwFT6 zd*O2UpO%h(`uH(Sh_5i+%bvOm!-pV_pD(`M`P+v7$@;A1>z3DP9btxc9vs2qxxf{T zkuF8Lb4Ri)cU-KSYyH+Wr}y)~+;EvlWveFayCgj%yM;M zX!jnjejt@$mJo(3oB4k&%AJ+1YtR*0|JFRZC+GL%q}bup=qno+h^inlShh02XG39` z*ggOSynph1g}*)3?hb7l?C1U!^zV(f`h)f^J#iUq0ObzEPB-voiIIcmci4)BrZ%;B zC~bD^D2SEXR~X|c&gAdm?mqucOf8bZcCiB2!G#nbHH*6^rSEy)W}_<{O!y2jVJ0}U zk%qoK%Sd9C7@DbzB&3^wEAdz{_5!Mlp!+B0v4bxY13%+nK@gQlS4XQ+FN;XOnsF$!SgYgS{2vFpaO zhq%V-U5i=_k#?UKTU+`h{>^vlE)%9PJzD4e6d?hD8sI&{e5NsbyjzPQ?u*#uQ6T6x ztGxb>!HFL{foqmt@bLP#dLidTs?EW)Q}D?rPk7cw?Q}v@FN$)oKb?!`BtF#Ft3Pl*8PlIA#=xtopKU=4V+}67 z(||1i7#&9(PM zD6p?isSmTIa%rv99u7qp6py}Vc?Jy)$=7-VH==|2u z`IT8Xes1;HxRH*ocZh#uRKk^83C`HvNQ!mGt#?VwQHGPJE`p}?Q1U9QsE7kUS~J3N zjvvE3iJ;V8g?k?+{QOj1E#|WMHrmw3IZanhb$n|f>5VYT=ma-$YKpL1fhpBTH1S!> zf~AF%$J=2=(J{J*{9WGMd~W*Yc9as^D1?ub+1~_wx6Tt)#EW zO~qpR;hs<0gO_Ce+9Q6saO9Rn*mp7*7}~mh<9pT6meNgE5rY;?H3Cte-XuoGB|Fu1 z;74Dd`JBEW6CEsFgFSP3}6l<&B&fA;d3`_=;goz!oT3h}>ZBUTR`80GN^u1kw}o;MWBI z`Vu67R-ZATZ;=PXw`>zE$_0G*N(W(w{yCP~_>`qJJ_U>dTDotZu zTx~@Wi(~bgt;EPv6d{SO0JYzttPT6n<0evsB}22e+&T37r~T3%Q0XaYxEDin|TtZ}>%nmH=YYiQFRCsbv3bE@vwT8xICR0l+hebODCS zjL(85cOoY4D;W2At}Pg=l|-SSO*}L@5_df2AcNRk`u-RHzwu?R0|$UulVe>O`WlIE zpV<1kmtZad3^GUem0^D;YiwSoww5}V;+9JuQLW|^ZkIOAvCRmA_G?p~Fbqz>8Jj4Eez;cR1YlJ5@49Wy*72>fAr3Wo?xiaEs8ew4w~_|#F~Z-PnU-YU%F zdUAFvC@KQa(XYd3)ZhWz7wz4EV#E)-t*JiMFR1qA+IZ(-LIBME1fhfc*UhuU0#{O! z1rOlhHyyaj*7&ArH88-_Y3nRK>h-#qqr2g?E-vT>HoJTM8??^+paWxI5(swYleA;q z9LSsE7fLDdAD)&yQgFOkW#{0j-ZL^{eZ2s67%XKkI~K@IF^4|#Z7|$_5hp8N`~>hU z*p-8mgn8-u;7Zy`HdN;uIj`h;CCwCgt``4N`T``-P&eY1e%jz40WPlhcD>!;$iF^$ z!B6VQkvvHwWXz>g=^%=T82@zqub7>5uzf zhR)tjuSgwi>g;a`Nuw#AjgP(543)C&4AOYEyZl+e>r)v!Ilo_Je(5)oX(3BMADl}} zzVi0(sAT$VeL{n0L+R}`6L4XP)2Bnlq@pzIHHuGxRG=9XuIKF7zS=EiEH?CeYJsvdaJjij=JFe)C zV^(V<-|u;eJDEnXD14A{wEh?;E9(GS5B2rR5W0*w@AtvW5WcgpOX zXkMa&;>|-Py+>gb2Z`)ZOjN^|3h06_dd{f{ECu9Q2&?As*efpH_)|~b5vxf3^wV-( z-{lkP6+kb6NmVYU1Q6`}FlP}Fs)@zfZ!7UEsc=Lycj?=kBxMKeZ&Q4!6^pOJt!Wqt zOd0|}KhNA&HfM++ivJ?%n_)RQ#S6onCuv0ZzTe%SBQ}4z{bG!sdGb~yp#udgNb#Z? zD;Y=dm7b+Kl4*oXM@JCan~x&4^W5Aeh6;k|nP1nmn$w=L*PD;p4}Gm$)XdQ>=3b{y ztr1nAFvWRu(uKs`t+GgaZf>3YC>lDZuNfxYg0b<5p>CUeJ?jD&i%<3>4)yrAs`?j= zg?C&`egEX<66lLjow>l)isk+p{=BAL`+=0=j@Ltx7i){hkO0tAk%xt|iFx%_((9tL z>=}$;Z4%?=g4!pv1=>XElk z_px%@j4Knk7n$$UL60CLLtq^~n0gO)LgTS#Iu|?m6ac_rl`|aAK}scu8%qMk}Z-$V}{xeqMwNj0)%&7_i?a0$yOOc%xW-i6Kxjzs@yn?FYkBxy2<~ z0NQ;rYF!>HGEi&25R-p(jU;@ZH7=7#W?S`zbBujLZ%v*7?v+N*M6ad$s58lT?g_^m zxR60YOhq9xE3hER;v`J(A&~7qd4vMD!sg@;r^#{{6d-gKF_Zdw(+?W=JPou8;d?EM zxm`K3I|oya$J}@x;xuXAuL7EcaS+#m1KU6b#vx-qQ^$t`SlM&=0qgl zd8KW+L4Xl3cQt+bnXemsQz{6UY5!+ehx^}!A#nc65fvIi=~?5pbP`)|bP`2rg?Myd z{|+ORVNA=2rwnHC{HkKV(Xv5ZyUx5ac3sF{DjXR=D|Fn|Rr-%SlWR>BQuJCtTh4IixD(=3Ur{+#LV_ z*@4UW9;zI?9O#<{*6iL>vX__Fv0)hTZR(MZA6afb-c>{ooCu&k*leUwg-I3kRTT4$ z(^3w=u{h8QU!iJZyOE(4Zh8u8i!Gc9-_|q)L!`)NuKz{JEGf z{DYU}-fW=kwVqbA%olw6W6199@=V>qy(142buuKAb<%8d?Jzj9Y^Zin!UqicMxDaB z#n@;5DBbTAS*U#t+7%cwBphY9NreU0IxJp#F)qOA)v3s5?j0DYcqJK)#lGwzmAx^O z!^6YwyJ{I1>%Ib4Bo@zlSGKGii!-$AsTdd=+k|$xe{irD#V(k*2cuHgGVm4M52wi& zbN;_)(68|dD!9Ag(sN^P3{WpcXXku=(|g)=HLbL6-Nz1_-<7Q@#2tizR;^v?S$Uz- z4Mi))cO1$X(D6Wt%>)LFH~d1s+DKqM&M$75U}M4~QLuuKtFFI>VP;b ztHbUq4oJf`Qpge+G57ha_b+B--lMqmTmU9yq4N*;t7Wjz7Xv>BHw>(mTU9(FC)^IH zF$|83(BjTx$IawK?v-v4fpIzv@$;l+V6NTv;wsNCR@Wn+Vvb&!vwWm+)pfc*Kw0xE zUMxCTF};ffEqMos7f46&2P4@s>5a$4+7|z^$7v-^BK(A3)2qeDwbx+{9WqLdnU+Iw zKz6}NrX4*>bdQ9dOZfpca4y?SN0$tSIsnk+yb9SyZ*z<&zlS}^Bs9NN6k<=WX;vG@ ziRFcN)+U3rBS{}7#+b1?m`b0~nRX4u?-HlK`<~@^(L?F+atV*Y0>EXZ|Hp1+?fuiQ zUPms-Aa;nX$7 z8Q+=7Jhvl{RoU9a^mhle?hXzbtBlvdTcJ!RFsxs{-oQ4u+;r6KQhlWPJ@EzxkLiPF z3*8sO_=rQ3BD^D&I!x|3DAHkn40@R@l+dS7g{E~pjI3c+*FL62%Ot_RDJEUi0u>z0 zDz*|c$Z-86Z9$PzI_qz51Wa~I+C>W8Q;Z!-Gxid`cAIjn1V;!w=_F8O# zX%IzA8p!eU`)6zce<3wLrP)ULtulNJE9Rtd=!sM~q6j?ka*Vs`T3#I&w2nv{&tO6< z2)ATaVDODEja(z0)<=r#(9%;3H1ew#|04Nk%ajnMF-db8dg41#@uR@A`u)m)?TQn6 z#<+fIMI;4ml({@5wE)}H0Jl1*x=&hVv^f1;c6l8j<*VyvB+ON)W8yyLXVG~~7IFb$ zK-p9jSQIeGGOml(_aHS$h@Uslwm&9OGQc8nu0Xim~!w3RCsF_`=Jr7d`c|f^kYSHephM zHA%#Zzg*Lb(j(x&tAZ&mrQb!S83YtiAbWZ-wE7RDMsxTv6bZV|o_>lh+&pAjEBTlA z+j+JX9sWs=-;KxJjV2Zr-bC&Uj{8h|djpM9?5j~I zV6n8DP^$2dr>7u%jRm*tLNFO2b()_`(l#Tw(kh0ud#1FIbR%HejgYOFrZc1LFDLNW z)J+uo9EgPo#%aA66JU7Iw{(if{XlSEB#`-oD@WlRjZWwTnlI;7i(rK$?OwF^x{v~p z{kkrj{EYJfqw+3|Az&zrHl>cR${RnmEq`QQHZwapnaS261E4p55AxnEzI{YyjWUS1_%$B$X29%1NkwJ)&JRpbhyehfEOywD#?S$}SJh5GXX#eS~vUGGyFDo z9$V73JN*(L9I=Lu5sMf?!B9gT(?^>1*>!*~!af3gG;~zWkH5PO?xc}m6#hg(h*tAv z3}7L$oibYOBM6n?nq{R3&nXVS)Pub0wIz6wA6qxk9KxrE)hjU{fF*iwUj^pPZy&uD zOCLn0o3Gsz`^x4fYDXs8Ppb;AKYd`DZG8PSYY zz`(|m=Q=TSBxV~?bUnGf*QB)S1@(jDhhG$?6oO_mks>oMF zg$lWd3d-*K2!kTmoc4FS6cd{?{=)^Zewv6awy6FrW@Atdb3(xekBK)y!gIV_T;3Vy zvDU_}9qQ1@Yfb@^xUxz$TRs0ST%^cDszZ=Dic8rvgc)?4qFj;D#8G3(U*m;UaDZZ5 zq&coJHk^Mt=#;$m9eWYXIm!*?51F1?%LEf4v2-%bcuzLvw~c7+wDD%uF$| z%oBAlS!ZNHzhMEfmEY*yK~R#fVg*z%hb%k7&S36s>~ezX7oesxlsRLcn{Jt)=CIu1 zxozzAjS^-$U%>ju(8btU6~tetb-OecX+A1`hAbX7GdD;5?srda(f`br42&=mPCpAo zG9-fuGugZQPxCX;L8q{l*kphj#(O3@7{}~A?h?LCA{ZkixxugrgRQnps*9t(UG&>C zf4zjXUZME%$Ur@&4-1QUl^>7kZ76a^t>=#bdfy96D9=BabHuP3UHGDQ+@NM;l0?5W>^+i`IA)U5XkQ`Dtd$90P<`TC}gPua7iaHIDGHA!wdgp%_Pt z>wS7CKDf3tUWL~nh@+(z?a)AD+3v$T+@aZ;mpUNz!zS!N_YRcdav)A`qD-P3o|gKi zg{=U=CH;`gF%lQG+;IQ`Kf=$*QH8P=D+{i>3Nrv42&(>P1#g{e!JX*uY5^yXDA{VV zvHYwMq)k^-9N)OH+`^LE%b25ZH&}8`SVlbEPEW0X6oej-;lLlax@4__M0N4F@%tXg z%bUjzDiykD*zWOPC4`Ae4aD8B{bQc~Gznj^5t#i&~*=y{V6&Q?z@T^&F^g z+5F>c%tX78>6$Fwg2^^Hi*+yDD8J3VgZqa+B{{vH`L-cLer%6B1=vs658=DTyi zvIC<-<<|H5zE#=%R7M4JtFrU31>T8Zzh4jI-892anrX#IwlcQ9u8)}ANbDP5(|dI% z;9IL&x{LO(TV=D)Bd0@D7g4zIw3yCs+GhS5_8xvx+Fp^e$zlI@aJ&qc2$on0YK7`p z&J{_NK&ZXeP{{f=$K- zLlZB;ZDnEc95vTG=F9gXJwL{bc{tGXKCrvyVPH%abJ=y|)?ZpI)?nMU-(mwHJBPou z&e2EnYX&77(fwjg=BL^S!E>tn)30LWjWO2yKN%PVK+We3Lz|m&Xh{%AN)egFv5Dip zl%NtDizz$-P_P_u7?@7@JX+oYh?gWm4AO_hU9pJ4VdTrd_TYrZ-F*cN%dl8U3>sV_ zgK;6ltD57tRP|tTf)F1moU$c=iUJ^6;@f3ZD0|UMR5|eCIy}1&tdR0Quua?+CM5=? zVwkE{Vjqq;ngX)gg82P7IjuF{2wQzAL;$&^UkCnv9)WSn);%grS?S-+U9oy4to9j8@B=@g7L zQ36|J{YCe+-J|vO#WUF9z=%fzEi12m8m1v+0p6$>pDQ4mm`l*_<*Cnep9%!I8i5j>h#N&N#I&VGZCbF2G`YXuj>{@=+-twC=$4XyM&UUw`lp300SZ z>{;2XZRDYcZ1##N_g%^D>x?*8cg5EA?^%^pD7+tvXizvvbmqhdlgvus(}O5OR!P9l z8N<_UE=*uLnJ`6rbMB-V%ynSUGqtksT(U1}#f<2W zeIL+ULlfH{1DBDD*>*T?4#4Syy5i)GwMsx7%_uP}#2McHPFkdoDRgpzjqFezE7XbY*Qj(UOp zxS2zydRrI+b^O~Cy!#jz*mn3^cG@J3=$`XEJ@!HJZxm|whj z5gB4x2rPG}oI4xdiv;5lzaF071aU;ALZ}X8OALl)Gc!aIx^>&OTYz))e<#bi{^mE? zvT@@a;$1_;BuI_ux*zOC|-@pNZ}}sxK7*s1b*M#Mw9~@Z!`{oq^6{+52q4Ym+f{@s8nfH zU)erzt9`mM5Z}-F%1nZ&mk{~!kCI%YO-^UiKcLmm!&^6~joT-4GvXVAx!SRFHXbagF=Ho?WjC`Dx!4bq}t|IQ{Av7SBsw=?cax z?L%8iDh;qhy-Aw4xU~DYRCIjHY=Qznc=DsE75c+bvuG!3C^&Wiy{w6fzA8m3GELpB zvUi8QZ-Q!tx#(J?Fmkm4WGQjuPg16-yS_KE{HV>dVagFu`KNHV{aNor!or&X?2t~m zW~qIB2e9;%L~&5G$2*~I#n9>V`3%3=texeu^5SfO8A6?gh?dksMMb$ zK41we1DNo1%?X%l5Uh=48CVnCLmKXdYF`C|h|efpf=>?wLsE|y&T0U}m46zkG0a^+q@1^% zb`N$)()pUe*0^Wnxw_&(!9hevN5xdkH-UNAXR?+(-vEd@ggz9&W-I|x@I5DtN8kv*Y?@GQ z;{FLS-e9JqL2y+XAgmA!3g9dFt(gN?H*)jmOOfTmxxIv^CWPO9_eCPD{DU7koHfSw zE;7f{M%8bl-}~=}h!qgL51g%lnD{Ug#^w2oO3 z0SR&P0?T|21p$rhyu_$r54JRs&kDA`^8)^z8P=6vXMLs~izR=6+mOv@cSzdF;}0KX zSHIsDmp6ngO(y@uF&{yZL_*-yLi?lqm*2D9(&=*!N<$YoIEr$}yT+097z7-mU?J~& z5cvX^o$uWDJ+1dvgg9uYR^S}`* zXnVnW1IhqEeWxNml&t;@0`H_8L;(s}vPzQW9+lu9OK2GBP@-PXs$mKiCyxXD5Lxdb z4l_}#b=iqzd>kQB%=521Y_XV<)zRQ9f(P>%O$WTvc7Qwn0g%Jz5>HR;3h%{MS1+9u zVQqZF_$Dg$kUqR8%u%Q)m=MQ9+-g;O9dpKvqprUbtM3gZUMs30HQ|50Um*)tZ@$w| z>Vgu6KxP=4hq#@2ZXoN^vq)FmM@j7D?bG_Y?!OYgjJ zta5+n&HuLJXJYK7fFU6U7o>^>fQGGUMDKQ~yI2-M{6kS3ZB>7|Aaj(2O^yAP_spA^ z=1yKu^j*gqIr2y~nAxzu*(L`vEgA}Ow=#1vHSoYOzt2G~dJ`Am(*JYMeVo(C_U`XW zgb(QCz*-$Ns*3;?v_va=PF6-niE9U)BI*xZt*Qzm$~<6VP4JL|maHyboVj*3Ai%C3 zK&W!>IIwZDKsd*ZLz;Dd{32`I?<_VUJW&6sAu#O&N_oOr!Tx)O>Ef z!Q9Ht#YInO0>E=?vyF9QLFQd@Fh~Ah2lM){au?_V@=4m?)cOfA9CRR1{?~GfK9xt) z2Xi?eBx2R^c%2kwy^eCY3yzFDzOus?6}2f4)VQ_+*mTJQg(a+v@TKqh4!5e(sl9-E zwSVAnB2^Mb$;&gCToRu8{kB1;cl?0WGlw% zI+5`;1W*>ojG>_ISlev?E4?lsgW@F1FK<{1)=GM#Ys_y2ku%H4)XtprL%Ras|F7E? zfy#Ov!rxG|QEp((5!c_Bh{4*j6O1E)5)y4u%`^%Q?k!!Q2eS^(-zEhQ>1w$XaWDZs zD#g8E0G^Br)@dS-F!=!eO6Hs-CM(k)tO4v*V9u?)MjeO`8c<*8X{IM|TKz~BA~J`> zLK*;1V~CpW=O6J{{0Fb^k!LG7HOna00SM*=sZ(>U2QE4uBKTDELLey7#m1y9k^Q%P zIriW31$8e2YS;^SCBtxxBl~MH6*olz8E5_O_OPr=kZQjXRQV@3pJLBzm&?$zHML0^gPL}CAr&wFi*s0BF|f+JX|&=yDuc-htez8Kype%=4xQ{*Z+B0g6&4&P#8s&ptis+139SW5@bO)ov(vz)L&Z zKg;tWtePwgQ;U{)d<6h(6(kaTONB4V=J@LJbN)Q{&x?+y>*oYc%*3oNztSkY;k{aW zePU!pfbr}Bi1cuK0P_6(j{12D&3NEk_v?#WV1Q-MJB@15pKR08c_R!DV*o6@F<5O# z)Oh#vqYzLr)(4BtSIIc;b0gnnNU)tTkZjL}Ea=CmW7z%nC6c>#Y})gm5W(rs&3y#> z%12v5sKg3@8D%0IJxLoy5(m;AG(kKciJGS-8)wK8C6ooFjR@Y+EvvT_m{ri-7lzK? z3;~AKgB3Cj$dSC$m62-q85c^;%+3-jHE%88)+fYsX?F)^VJoPj?NFw0N0EJ03C%Y2 z7U2>EVW+wPJ=;)~I#y1CI?m9Z<2axi?}4>3NV*(rOEI;!H*3JchIw&5waC&E@^0I= zad3Qs5WDd&P{3YGqCtvkQ(|yz2hr(@Ctz`LJrNN6AEoH$Bp>^?It%~b0g|5)u^I-z zk51SDTW}2){ddHE&vtfjz`$VmU~*@{vip8bK1}l9Wm@|4yr=rIAD+wTfNT^ z+`$G^n{@vOZ&W7m%mIu73krMoBOxR-UZS%I&msJs-A6%4vb3^uL2VlQdDNoaJX)j&%pIU~jJ(>-)!?sXaIiWPdEL z?5tlcaL)Rcb7-rLTOO3!*7hB?F}m`9`$QB=et|$9@)P|<=*606*#cj;1QsOxbZ~SO+<(6h3lSd(kHZUP4#yO~a&g?0deYTO?2YvDGM9lUjcPa=B55AdG(kuxy0 z^KJT}t(g7)r{eZkv_wYYzNcP3@&=G0BhMf-wsxqqguoe~!LVLHYz z_B`WHlA#F+Af|K+=?$UimRO*rfa_~1I7+7bU7{e@B#nYm6j=l(>#?Y8a%ZsA{Qa>7uiG;9{2A=FuDWtvR^3~#l3${;Z*?e*+KiB#21jUAK7nH zXrss4N1$32i*sYO82vm3?Zp<}YEdxsfT|_z+#N&jR-G!R-|xB({_nF-$BaJ*qDLJi z6Pl|=xRBX0?YoA{KFsOu>}GvO&1IlTY!E@q8M+%X^(engXg@a)FvkoNuwU} zYnCP6MMaQ>^i|`5%9)4J#gF?kvP?*E1~$MI0ADH2*a2w4RPleMO4IZ3HG8a;#N>fJ z6Kx=11t*lO;xSrPbYQknlk`@L`^wD5L(J6BPkl^7)3_N z_&uJ!=X{*s=daH>hkCzXujli=ulu^M`?~X{%GYyIZBKcN$+fx4f^!vX8NGgia1XNI zqU!a&wlwbK{zr;%*yVZ{89h5@un@7d0y|(SSOyIba=b+**bDEa`hdqKy!;us@W#2|;V2?Tnsf1@wuh3!h*|9wP>0YXmD_HeOv+NKCVVBZHp(ze0BPKZG)b+dH4WzIWsE5AAc6hdonIus2hQa1xm5@4P_gY z#s$BU&LH)hv}p$(cWyZ8oSD&v% zzsTuX6{?p*1@(wF>$s;+&n zx>ctHL#ADhMRIL@KmBFu7-VvVI5FozmdH}MT@Bn1%+K4vFA0|U>jcZ>&{GC=J3$Mo zKRfMHO1NgH+W8ZxN}K-oCf983fjNYs`*<(w(`|h_ zI=_Jls&2rPkmZS@p|=V))ifp>bg;|n#PA)(4__p9=^rdR-@*6vm{^NsBm*fd&kiBn z90(CHFfBdl;)V5o)fx_@XuxXwAKR$g;HvP7QET=V0? zL`|~DNZ03C7d78^lEjo=g4?ck{>@vdg?o50J+U7Pw+*JIrgkoyJ%3RnsRheWnp^}X z?%1J`a1#)59{83&U4G%s19P<^3f}z84sYdg@so-`LQO7Pv322FvoM}^BYc0_jH@=N)^=s)GQ+(x}k%=sU!75?0rVO(=(>cj8e$fN}i zU=n9pS8M$J-B^6YE^9r-b}ST74?j^?%S?*=X=?@PB%9Vm)dqJl>y$Z4Xoy^)TBi>G zy@JB6kp!TAQPeA0o1%?3M&^7R*DK-y38o0Cti}0 z|GXun|3emW%yKNYuHfAc;eltHIvRm^cded!d|W9CZO1A?zwjlIBu=Vnz12=E|$mVa-AKT!8eO}lp;OL=dk6iqLY3&hWXb>ceDKS#Cm4`FMRjg3u6!--?Z zy5mcxZ~?iEFbcr)vZ1V-I{x?25flnAdrz~x^RmRBIRWVPx%4vP~Eya!G27ihV{U3?a{S=}~RcOxf z&|N$B?+@X@bb~d51Tjuzstuu#_B`!%)ZfC;TM)6o+(B(9^tR6b3JD@cm0MWgG@B+o`e5IujaRK zJl-Zr6w*TYczz1b6QhY%GuR#SxPeI6p+j%BwBG!O3P7`punN(SU{n7Q3C>JFi5E;Gv%hAS&tHCxaD(&g5dw0ehrtm-h3!VOayk!J{)ISfQtH$}_ZuwU7`N zVtQ0~sePXb=2NGRU$p3?RZOM{xJg)1&6w=y+Aayac8H{nnqT{}-PXl-j>z%B@eR^VDJN=hWt>FD@9?=yL?V12 z)4M;1f=bBN@1X10h5x(=q4An&ZH0=6748|Ug$D&Yjq=j$J0~9IiEr7q%@m5fj$)$C zwb$|@lYbxexyDc{K4Ep|cSb|nHtl>8DUNbywMXpXtxbDBnjYVMeGjwEkDqt@KCIj3#S5hd@6-CPqrDf@u8!##;aj=j zmUjyc_B^y`i>pI#af*FM;;3|r5D_0AzrG4-kTYwshIzf%Sf~f~%Z14>o|SI@3RrdK z+_{P%S*-DbbbBpbT_prGtjala&9z`-CJP6Ijf02_!hyi>68L9w)WE|Q8nxI{i9xs6 z=VF>pXm@+CijnHR+4OdG5YXKy5le>2`?u5>rzY>$^7m)c*r?foQC>EU4QO+Kog`eJ z`I|gaIe*ckj1YBPqqu zH#$1n3-|2b&2aQSITy3|Z0w$jY4HA{rcuj*7g7i*@cj9qkXIR<)2vMMp5lzdqJbHC z<}JP+pRVL+@_)}vLw@O_GwT$5r%axFX3dY4u~%nH(`U{kw00JBr?3{IowecU(Vhgt zFvzNwioQDi`ww&}=+Hq`ReSb^{-Pg3i=cQ{{mf07qbE%(MTK|y;X{?cIwN1|4vzsP za@~^+{pqh@AEZ=YebQ}ODd%k-S7`n7X%L~uryabh&c6{$p{l}6d$eWAoDxZ==0J*( z|MN?0w{xSe=(jb=D-K-ouH8Q$dq;>~Gx7_g0g?n~)U0pc6Vt4>^D)u>NxK7{ttF6I zUHA#Xit*MKUbM~M7nCC+Bb!siwdy={vS<2!6uO*MF@GbyyY%aa5?YJhoeIQyy7ql0 zPhZ*BgHPxMC9!DHq89OSZXw%gCw66?9-wsm+OQloP`gM3%c?iNsQ_7y6rE1E+?Mg1 z+n8jjbold8wNdh*r<2T9*k!G%SA6p1$-z@GR7Ho8JV=4?z-7F!llEyfeG{skHP;>; zVhZ6_UREYaIEi%g{Oh(x#)pX3{B9+ z>b72=ck<+I)rgiF&%1uhpYYE+9+wCQPV#VzT4@`LosBt%)J9kd&(w=ZngHfZp3F01}F=-PWqkacQk>D{y zZs}fph(oMd@~N(FeQK(HDK8E*BVESFw1R_?-+=a5K%sQ+txxo)r*jIe?@Sx@?JJnH3MStb@ zpFii&TJS;v$86CSg*nV=_gIuQvDbP8uNE4*8XE&bG|PI6IKzeRVFT+Ugrzlp5IO6s z>A!V?;TS(=Oe3aX!*}nt?5*EXP0iC_v~y@Vmcr%kjcq!H>WKy+%G_#`yLFgo&sn@U zm>Sc3wGoF9l3Yxc#2@RUf&YfEYicZ^$`t!or9jMqEMAM?Q()rAu|F9X*GOXY#uL{c zsrRK`ZQ_Si=sZ>0Yr?HAKN^V5_W!+jMr-Cb+aviI4Ej)CPZMo-w*K{bdSZ0|@Vk*D zI=WnR`9us-S~9gh$jR5sYh7}(o>WF_3hH##Y*nODxv#V6!NNp+J-Sg4o5Iq%I3%4l9i#J$a^YAaX1OBxe)s89 zWsuBeRk^%AQK}2Z)C&IQ(Zjq<;(W&SXp4qDPr<+b&EpM}+p(@aHijp)m6QGR*z304 zxN+kuDM>6ID9QAl_9}|sEt(FJnfpF{$X_Of3mj(lS8+xa*`h@YX?nZ6_}EW+w=Em0 zj@#R)bLY+k0PI*=wsRgbWQZ`_l*vMMf4+Q1G8JWs1Ls?(~!m7v3!FbstC~+5=n0v7cht z@ z3|76bd1e^R7B&6T|K!AQk6BcxJmz;`Iw>$FrYjFP zkWTEx(AF(lToyP}!3P_-#_)cBy?WIHLjgL(RYe_*Rt^zvZqMeM@4$$Hv)741-gZgw zM~&%6WYdaE_r@NAE^O;%-rk3g99d5X{W6lC+o|(|Lqj)i+t%9mY$|a>7;V8UTo&~A)e=UkwI+q;_4oanrPYV06SGL?xvpN5qYLhH~j-&AZ zX(cte{PE+*N61=Y!;DzDD;h8c)}>-c;i)rcrvJTC5VNQC+#U^l$PFmHzyVyq3#!aX za>&@Z>NNj%a(@+@FK0D<@G!B4;dg(=mpp?R=pgA0r(F454$TsOAFA99%Bre1>3x!I z3+aVlfd;uQAuHdPym4dGIA<7|8%#Xhn4O8WS$|{WtnA`FmGlEo@sA}woDe%!d)!Z^ zQg`8Klsp1brJxtH@t?A>O`XnRmDc}$HQ{+ht~pHACk1k&ZD-ATLCc_>^Xb#4z3AH^ zl$-IQ*{oR6p(L8HDbu`4&7Zh@D|I>RJBLtDZwFZ&K|v@5a^(&au7Ar~ckODzu;UPq z(k@aPG+=1fG*=hZ6{NX>KCwdYCJE!M^$%^+J?BQGy5`-wmCLCVx|PJ@cNEqxpC9Qw zPt+JNKoNf5qM@VBZU!1Th;7((9zApB%w7K5>fUyOn%csr)n46m7%%Ksx70-}r~e&X zvnNfQ7#I{J2V<)!-7YT9rFImSad9u1gT?XBU({X5!v+o+GLEk6To;$#X{*<@0q2Z| z+PI=7=H7&17rrKQ(YXje$a8c1EaIa$z!PW@jh=X2{XHgiL>o{`f6t~i z6r(S-Sq)R)b*dcesI9FHYh?k5)i68qzeJbS2zJKo?Ma;Nc425abP09=rW9A#9DICyNGeKfZ?v-T_!^#u835zs zS`7Va`n48iA+}#vVG{?!`Hk_$eR&;m_Rz;s&*93pfdx%^wd-fKmcRHh#|wO5u|z#b zO-yoeiyKPx2sJNT?3ZbN0P^Gv6Hm-q)@0 z%UbzK-rCw4ZB*jUeIk*89O!YJnw2U~cDq75ZTcD|HV$_E`Q@dObeZsxOsk_tf5*g) zVor;ijcB&xn)}1-Y!flW<2eQSzo(bi7%#8n`^7ivE2eOoV`F>cVWjb;6E;rQxN}W6 zXG&*Qep*uF{Wp{n1XJ%Ytkr%t_tAho(MKwVw^(bK2inOiB7 zM2r)j$9#5KGJkdgN1>5KV_7J{{E}QWs0N;EtOG$x^;`G~Wg6CyaRI65%6WEp;%iSPBxnTmA;!TzYkrX01jejnj5e zx~$~ix>YN&#=~Zb5n1cu^vj&N-Y>XmT8 zMM5Y_%bSRxv#(uiN>!IvP|#R986Q6nvQG*mX_Xcgh(>HSQWEyFwZLmMWWbVmZ<7BV@6wE z^c*+0R-l}LIRa*db~aFy&H!YHXy#S>$T&G{D2#}AMxf)crPc0@GV1?!Jm)pvziikj zbMbfuN-&DGA1vTF%K3KHz@lXQT19P19IlRW1w9)5A{-;7iWpW~RyMkPfW}5k>Cb72 zNN~$bNJvnS7U8ees&(r|67v?=;)|wTtwQ-iST_T>Xj*g1b z)K`nh#U_X&!}L>p%D&Lh(DZ8DE~YPW2LTYF!DP*m{#n}n&UJs_cGjFwJy!1_dhZ$( z6f`K;s!zp5Hs=NIe728CI}*V)0uTG1_7q%NH;8eHb+ovJNz9qEXJ6iQ$_nU6t)ESH zE`RZ&v6POW4+uN6+|`KlOZ>eqh-glEPf`|X{yH)x|Ch!-c|6R5pqrQw0;`or3b8S5 zglsMh=itgyfBTLuPsfRUOrW9l)u5|3m^EF8m`tX{rxhn^Ri7T#KUHG?P1we(_^|Kl z>vO>j!opc%w6c?^6og(AE3Mmi@9vDUac~F~q=;(RN7x7(P9m6z>?=~g$$)a=aZn-{>VAB)kM!JnDKe|NA3o3_>nf@N` zUD1IC-}+0JE@gjiD^##(1RL#s^CXLL>d8~4BpmBQNI0(dPno6R6bjup(9qDZ+31?F zPEH4DjyS#Q#MN|zGnBo@aAoeisU z4;f-v-id{7#C;x+>NYP6qhJl-sWwMcbUsCw(XLF!|qp4{S3;)szUd;_n=3Kou z-p_=))r;C`c6jfTQI?c^Ar@LMHWEngKc`#bD_~6!M31LmE8iQ&e2GH9Zm);CRO;x# zMBxK@kWb6=&+pQui=Re0#e-aN0}`eM-1n0?0HlJ}Q#)$694;zrJzuzgv(;g=cPffT z1$;SE@}8>PYD5KKCCNg+B{=13!qt+J1ITqo&vP&{lkaS_a(S$A&m6T?AF5gldrdhx zISVJ%kn3(xnC;fCg|fcdxt^ZUdBnb@&w2Y#1tis;-JY=h_es+x|3I67Dk=g!#C2ll zmM^qGSIm|M>g$`bJR4`tmhi?U7gt3ZBy!7Iv}#r1zQ;N~JzY(ddt&yuT3=s(M`UEK zAxC_q+oLmMreDN>2_S5QRbNpw9o?Z_)YT8i#s;Bvcu5^C8xH5VnMT$9`}ZpnS2Ll= zxUHaUY_kG}Gm6;bt=8rX>9W%uL6F((0K zLa0o8dpwpV%a<<~dU>HFhUAr9P;-t#{C#cPTOqIJ#gCaiTb(=ooDXJ(2UdU2;nR*Uz zgI<*d$~6mC6Efm2_f?Ggm*LFY5fO2nH0W>Go6;vAqnFq)-p?C;)+v}V*>Dc33j!#M zT;16hcE`oX7nIC3WL&`7)>bpU3JtQSx0RLEUig-4sVv^G z3l1Ba+^88bo9$GGhBKFa3WmiOQc#Jc&4#DxnM^0T#$Zl6Az(wOE= zD@F;|Jrso;LqSeeIVyXn3rduoFzI_v_0HKTp+n7DLxadv~_`xP^9yUIF@?;C@u4~ZYlGLnOGf{aRKYl#hl~B+P z_H8`WMBq;A4h%xxe)w?D@LYfqNJx?x1ROVRT#J=XV4V$AG?rFYGaMWW?QfAuZg-Lf zQl)+Q^2IZk4Nq4Xm=`=7iB;(4uh13p_ZHLAV&|PN5%ndcotPEF?R&bd?G|W;?2?i$ zDAP7_au2O!z*L@JN3fTAAN(b9C}3H@12Izoi-F`br|8c8`{GO7M%q$3D^!o`uPUw> zT%kzQ@XOhE?^@IxZTgSPM;J}Wg{Bh8i_fFtpi zo}IgO(@kIaDzH%#Pp-an8EL6-EDiD&zTte4WmoqEsZgZ zA$$lb?RDi1wXyUu7ZgUVL)t0@PV8mk={b;KbK+g60!=L~6VB2*bdXXYaUFC%9q?8P zy*>4y@ixxE3!=Cb$RB?xCPtW)hxD#G!lAOxXf3*OHLB+$DRkV=0!%I{2UgeldyGz&(1m*hn zRYWCisj?WuVZ-L&&(_XhN&Db&XHrwIQ?Z5+{v^$owz)Js5!eM4PtW1ur+eC%n#%Eu zBU|{IyLKAsHxMv?_~_9llCUqW??`R@_1ynh;P6{pAmnvR-h#G*u0FG1x}f~+5+l#D zz(fAOzJE|c%n*L?pwfg16UJyHty|Zq{yVd>>s`-*_hOzyUcMW7s8~%Sq(vtqO*PiHNfSXfTQ3I9 zn(UtNKL#LRJYBvG6gZx_NZv)Q=yKsTF?$}_w#18u{~>=$f$?w~jYfOsxh`E=WQ4-2 zGV5;A#K$q2u|MWS5VC@a+>ahV7L6=^$e^)~uw{A2OM}{v+W+G02o-pdAT+{|)=TeYslgkW9 zq*o6eI&^&%+Y_4g>C>m=J)Bh2qMo3b@;|lP!M0fIIHY^7Q>`O+q~6u=AjxD@Lx4k! z&Kx$u#zvJ|-b$-N9UeIC^$^HCZeV*$r^U}5rDd!BDmcoQVljBgYu*0373%C@60%J7 z3FF6$;Yc<963vx&gc&g?Dr^OSypnYL&Ydev!AZL}W(y@p6~6Wp+?U20tZyPwN@isG z-q=So95z~#$S~l7D$gV8Xk|03+q-4jEsfLnKNG+sjl3WdN(``R3dfQEW>eo0|(XjO-)T0cP#&64kQTMiEpV#E-gOP zA3CUu(Mn5_5Qv6W&ifTg-B?{Dy1Hm#1WDDQLkCIo@3Ac5oI1qqQ5(n>Vd|xOuISdS zNP8RVjr8i^;9yRu%EvXp^8Eb`;Lo_1441X()=lZq{IoOS;q{c#)iKTG1 z^zqXtuNT)^idMkrNjE~cMT=Zry`9^&Z(mvSLVwVp7oXB~R$bNiS97LFtqg;67~tc; zS!vs)ODi;lQnpEHicTM>xa_BxJF=RKi4F$NrMlEr3x1xVXXW8s?KvJ{fBZX5P1?NvuPbO?6 z(Q&60Ess_;cK4Nnabjd^tq*WL9hw19`}JV}H$xx7glfXJ?C*-sH*V z$WI6A>8+!&#t%dg)xM;~O=7PM z1J3GtyMc3e%lkt~D55>B@xz|a??ctL?0p>j^lH(p9u^a>bo%7UEeh)Vfn>MGgXqy} z9>`TYdS+*Uy4pV&Jp9%y7?an0xF(m4_{`U@%}YM?b=|skB_nrCyoLf!%fTFikbT{Hf$T)jZykkKG3N}yyIAYVg7Iy&d;>5sZP9u4EQs87_-w~c_t4T=qp_~ z{hJJ~t^c4w7O!OJc*PDJ_fv%7RX7h8z6KEtCDpnI@KWV|>~(_3!XaSUhbQNk-oRC` zpN|_uXZL{YIXsMAu_sR4a6mb6Z*s48UN6xGC7tPNVl0O9CVd~dcZ5%Twm)dFgsJR? z?bH7*KKyav5~AxUpMDj;ZY%!VYyVpK_v_c@&+-i!P6{&g2XcpiI+h7TmrcpZUO}#L zXz)1lA;kG6;g@z5-@e^O*w2#0G<~N)jxqAo9NQ23pw~OE-?<|S)2fwiZamG`zDAZ7 zw$F+6Zd`V+s=|(H9XmFX951bDO)VT}=ugoi7^B3ZY#`lj+zN0W7~5avLk>d)Wxtc9 z%<;nVxI_ETPI{W}3cJV>&ERCtl~|hU8$h3#ofvjUj?*~?nO%PTcyEItk-59Aon60E zo5Q!qo%<2WTBzd4eU_)!uWvjshhpeQoViAntehn)4J2*| zN%&ClENfpwCQ+B4&NlS_z&dO&mVf3tzVl-$SvBX--o1P4k$J`#`jd5vh_ilc0d*_p zqt_A=WjDkq*jcWW6`z>0zfbx@i-I>5RK};TDNb~Db{>k>VJPN=$4{KdU3D53#Okwe zaCm`M<_2HLiS@pfcNHD$QvXEZtnRd;L|q_1))AC1d>uObLceRBHhmnPb}o??Kngwf z;1A&KWz{+8im8nzEv=o77_92;Tb;C^F{WcndABJbfcJ@XYK<5X?Y##@KX+Ov%X0`6 zeeNU*k5h|c8EEMqrVjTnh*{G)6vgtd=Z7YX-y-r9taR8mHNEwsa(TE@weBa}*JOKp z`?*Gxn)7)a%9ctR-Nrr+WY8v}-n*ZcmRZ$EmnPzqi!~E$C5j3TZh7zS-Fe^+mlZ2k z2nqJGr~7vo+`6@pf?)FO+0hUgUe(Y_MX)Saq06Fap*oU(MhQyb>ZV-tuVqCwBzxP!YLfzk-3FJ&@bfexh(# z8$OGz1peh)!^6`?@&);FwtO2qW+?CLk-%inE~Rv3J;SN=bla*_PKfp4aIy2P&(LV`~ICe zb$Ub3d>%cu_TpiiKR!5y>^={o`DIw9&+9(kF@qY_l3{ECQ_4RZ>OOwl-4G(KTB$xZ z@sEFB|02#keZ77(qkYz|Np2d5-M-oEv5S;`pA<$d3mh)d8{}ez756pn(c?%#>FczO zjsF*V8s{tcSMz!dnKWKxZE5-O%91#@yiAHYcX#m&Xq(jf@Jx8V>3X#E+~66+xnK+dxY6sVK;=wh1uEb_wL&_ zi1bp0%yRI?hz0x{+5Ur#dK*mMKX{=cWX_NTjGW8DBlU8?2~og0@$V_soZ<1z9*oV) zwKOhs34On20TaaL(S3)Mi3yo&mo)sh!xZE>B)DA$bn1Li)vD|Uw2f#8S93;k+wOZ; zt`z0zSWkvtrUC;Y* zSBpg0(XF`X^ID~T-<~}xnV7VDtf88h)M^gKj` zxk+Pj?Ve^Nz>Gj3u!pT#`;hDOeZ!eP7zj)&y%lu#XGvv5Yd`aD#Cd0oZr%|2W%@T9 z$rWer9=ylAWA14K@2bgS2!VBwSFg>}<7bFTBZ6Queh1*yGxE)4ka_hXX&lwFWFIkN zsK>8HFCvB->?k~Y87s*9X>a;-fYyucGCeAOJSumOgZerH7iR6BXaBj`91OGu7294~ zbCD-QaUHd3Q?sY3u90Q+YVF%!wY0QMcNJ5#gD!=U!HOXBNBQyB#;-&Y<#4%o5p)J4 zPns3Ioti9er0XoS*4qr%VhCFQP#WcXF?>SZj+@yl{x!kKfm|uCdi8X@68|< z8YSsZv9Q<~zI|*wIo@5}-u|h4($%OJfd>8ihi2{pTdn%>E%m+^bkHeCvJUU88!7)Q zkNG-}OQl4|Y7yh#wK6=?=r$|)_+S&@Q6vC?%NPof^if2$U?n76px-woug3QB#jV6ReF7)tA*x#sOUPo@H zZ9ycn*`69k39Vq8;BgkY#B~*+E~9k&Eyp@@{(KHxsGQTZ9TZV?UH2K%Yc@t5Fh4Af z|HhL}-*@!r(YZ^PZWHRPgy8U7L0E>?i%~r~!a)Zb9V2DDI zgVRJ3eTqJP#+QF1&u~Z1-!H!Z;6XBhwB`#;M8WQxM>&H=9+ZGV#ck(tcT2qCMWK}J z7ffMjzu{17fc75@tLyMJ+-6q#erP2&RnZR+UT&;VmN-!HG8H=nDsHE;Gwzx=(wXB| zHGU?}T_;3DY}yCLk{Jo8o1A zsK}uCr9dJm+oV+1SJ4^wefvaClD~T2qF|G(fF9wC7yz5Xz7JQGMje7vDS40J8}Wcu zZw(KcSoI8Rs)L8y4e@~Kl&P=oP`5Mb0j^%u+ASs6Uqu-Crnidn^UK$?eaHkcq8Y6N z&=cKizS8Te2z!gVy3j+~EsTomM;aK|lz*xOTPxMuQ74U^IkUZ@qT-_qKH8`~6YnqV zX^tS9DM54vExxJb(`eOR{meuCPo9ksn?dOE-}uqo2TB=9qVUCF8>4yXT9ib>+yx@d z+FysyoDJ4xfyvc|t;uaF$Cg@fsG2xWzTK&tR>e}r3+wq7)$6NJOVMx)^G%F5DW%uu zxwaHUvp%bxqHqF>SoC^~hVECP^_h!ILNc4RPcZQBN{C-xw;0;$xoGO*kY=ObhdoUx zKi$8saT!7#s>{59-5x)L5`~qbjhWX7;%yTcky+}wKI|{#+K4g*F+@C2e%Sj4y|s*L zB0#$#C&W^ZtgijW{CVX;q^mg#7Hp!1URKRr6LN}kOP}sBjAREg(Q|EhCxA*2Ny>6j z;<@m8N=}Y~s%-q%aF#oySzM80C3WzR@8A9AZW_sPDfzXhW&svh`Y=+KaVt@1D$?Ap z!4dw!`szKK%=w}l!on17?oohgTea6XxStz(l*&U2WG~1Il$&NrhmZ8=Z=&5fPyR=c zrKw&HM5t!{3`eo=4nZDZbDXKEa9t4m#BY{?g!$Kl1XcF&%;^1mWgC;f7MjmLIxYO4 zz(^adR3=V+TUFKOhbl(JJcG!>!k_FhZo&lbrAkuw?%m7UTWK9U7w*fvgxROV{agE^ z++|vnDx}uz!4Q;qiLJ9~*U8m3>%TNeLnTD$Q6TazQ@3!(BI27%P?A@S>ghD{6_juK z^91-(a+0v6K~Xl>%`FtW%Do0VdQ_OlCMGIkzFNZ$#_Q{=BA(4{fHQ5mZ{~{TvJ|7N zQGH-hqN1Ya@HU2_;^z){;<%L9v zdJM9It~0svo5Eh0Wsnrq@9(H2`hitg8ucgI%<=^ijj8f|ainV@-% zIM#G+?7nc_ZAf~=1c~%0Yjx(KgBl#ol1q0m&~?1g%x-{FR-uvZkB$w8A3b^$sMqJi zj3){``3P`n&NoS(+(h<@X@D5w?Efb8Jk|AJ7}~! z!0HR#nL!?NoafJPDh)I+__gSh)wr+W25eh_KNqWJWaIg$@u#{X$#(DSNf6>|h~))w z&K*U+NzulYuiZ%EC8~C*8I)5|>M#igf#SBr<~BkqA@mvSM_9=r=A}DB3P@$omTwDB zBC5-CU@~69X0_aBu&iQY%~!hNm0{?cb71DvU*277@6?WZAaRuM%9R%^H1wv|eaJ(~ zJ38M$1yZ9TY%OO-PG%MO2c?*iB!tap$$R)V=tNDQH(X}8$41g$kI(icR4I^x&Y?Ev z6JZeZt?Wn72*mZNi0iZ}ti+BrVTHtTP(s`1%nh z2DvzpLN)0a@pE2W3c8^3*RQoxbv^9pNahmnAsk8s=%Ia!u*#bKhL?wPikD!+>!7xZt z6wwrmVSNb6U$!E_tz?~f$d)a01hBt)n5MT+O1gp@8mD#dUX7A!6L}y^B~(qbqsdT>*9;NhAw2UpI2vrL|-^i z``L{db7ew+>edJ)|81e6w#*&}Jw)dqcoF%lx9N4+EtwNTLzNN!)1E((3pQOF2BB+} z9y77mJd)3z5u=#q9X@PWUi5PWZJ!~hKbyG<3{<#I|uhXk4cJ4VB?Sbf*@@79HLV%6UZF`Pk33W?wf`y?gukREE){wJfjy zqI2|rYRRO*-DZ2oG^I` z&bojqPfU;i(QiHTn;65-rr*-BBpF7JiIMH#B(b?f3|dGzYLxb6<>ea5<2hxXbrq8w zkk_EFA4BuH(e95A8P?M#-EIV79R`VQ9o5|=%Y=WhTJoI=YBO5*LwqXv+(cHTh)INr zz2X=7cN+&MC5i&3$+f#Yg=0iSC>*wwvmD{TJ)ujv@yJ)Hb4o}My#JC6TC6r-_B}s0 zEqdVp`enm}-73#3J=y{W$r)BFQmwB_$Yb7dx)*VDA)V~?i97b}$&txqQK-c2(NY@v z*BvXdZW}RUO77&d_^RZ--(+cA%vG0~+iVKfd{> zv~7EZo^~H^)r0+^8LAQ=(4-7j>B#B*-ICr%O?b#tAlO(}jSBO_ZxkJK)MyLtD^r)n zf|DAU1A7d8yqD2{nO0UVyqdzCoK60C)<6>mxdz0m%Uqs|cqmG3Td`0afOYTo?Kxmy z(Rp(QZ^*A*pz!#Ly%tMVD7`n>+1n3>+dh8!bP+f{3gd!RzkV7yhw6cvYm5q>=ufU_ zulKp5Pf_20gh_Q*c-q-HIn4w%;c?TrZAR}Z&RNLwDbtqaDs>$hzUt~B1V%9LUEucU zZoatqFxFhPi*Z0yTF>+Gz@RGy1@im^vA%@)I!!expag#fI+3v#2MeS6MJ;|pMp5tV;rjcHk~?c<<%6l_HA?sV0s(AIgI^W zy}gB^A7bT<`?C?jo~oKHL*P4+o!Dd;bT?g`xe3J3Lf-eohYv#0%*?~GT9I_A2?kxV zFd{#|G3+%gMM`sjMQi2C%1Sx%E^TQxx+q8kyI;u64qIxe5N3QzZN)qbAb4wnW)s!eH*R5Q&${GHU zl{WItTB!vhRFwiLZ%h0;)U`9oTF#YFV;axb;ry>*GZgO_lza&c4AeTA^@0Y9fQiy*Mi6i^ZY7lzJ?RiP zF)x#6E?U=BuLU|UDn>%Em3Z4&v!$oH8A2d~BFyXC$Hn;H9r``s(z=J>^C5(; zu9#EL2-1f;XK}92V z*MM$0BW3|R>6^V;Nk0WM`KlGQjW6q7`o12*w?+Ksl{`*k1FpVVsy*`Kz>61uG(Yv% z>+y#F6Cf+t*xI&8wsq+3>auX5AT%7(UFXb^2r+8)I&+0KPoxnYQyke8Y5zA9Sj>k4KEWKJH&F zz?9CG3D&JeC6|^a2I#e9RmASHva&!9Lle!GiX>eHu2E?^{xsB$>kLcTiv@Ms$EOH# zS17+hJd2*5*AdW)e!vx!y9i0H5yG_{JWLthph%@6yPM~1s9Bd|m z2z@;@$9fPkgY_Gsc3x0xPnyrZyd=g!9PszQzX>a~~}qcy(!+e$Zj zkcF2?8_*O&JoHqW+kXO2c(zA zPtTgY;qYM%BoB9RSi9ni(mopvJ^ZzFY;z{3Y5lMM3|LSl2vcOS*LG2sZU6BI!L#@O z)fQ>Q%0G>ECw2;TSzcSJE~2twBEUsV#?zEd@GJtHiM8ca@g>8Bsvg&Oi`+|;=4fv7 z^71ZoB*ZMCPYKu|88^4!56tnlGw9Rs&p6~5gTMqctG0D}W`W{<)?fPNm0PeWGghlJ zN4v$>^V36`{i{q_PbN5^;7e&rsk@GStk}kNU@)U-yVp30dTbHI2Tm=wY?Z<813RbZEav@ZY%>r|opXSs>`mIKW z!hVu*0FB;`+Lv~vG4=zAv6)|&{Tlx~;g(+&rW}+>9PwPfd>mp~;mJAH)bv|vLY<+% zm@%gyxHnbwA4dN9TE^b7Z(Gq<3Z}UsU1p1eR@<7!fu~RFP@~=m3Pd$O$X7_{nV3_9 zmBh#OGI&T^9aBe&jp?Un{oe!(#b2*%29@dje)@9J|3e=tey!z2{7~W0$~O32_dQi5 z6fn0lycZ^}^|Y(>t;@N7{YrLrV`R|FlI-tz)}tkQlkq?6G5)`8r6XLA=exjt%OSE1)vfb_L7m_5)J_Uq91I zntgTiWwn`p_s$UmxmR5!Nm*GLW&YH^_wW4r<;xt{>5}(C7RPfwiq}g?2Fi?cZjX01 z^k*0ojm0Pi2hC5}aEf7Mg^oatu~ugU3v->Fuc{}+#R={NnSRFoPO(9m!rwZ{BWYyi zQ+>gGqJr9fC_|iW_x~IMT&iaYwW1_4CvEa3(q1F`8#5R5t=)V`6M&KZ*n;+{)rb{Qcur=h>$^1r%!4IYk025V8TT(YL{nZ~KE zH^Sr^FpGs}y23l(x=w0pf*)RAEn>ulJAaz;p%+&-sBqYX;@)>EYz&=1hc5|vCrb0R zlM+*OIx%P%LgA#9x`|LJ^#2ljsq`4NxTYYCcthasM7>iooONoG4;s%de}clC+jEWR z9(z7%PUu_+2|TKr_}+ZeWkH>3LO_V!y$dhSArSM(#DDG>34>z%NId}K9aOPT-74UUg zuxA=g51FSgoW0Cb3a!X|4CF%G}Zk1>JXCTN! z-WT2DyFZcr;PAy7wXiEf&UnR@bBa}CpGD2JB{A1C5GW*}aZ#u&lXc;DWz79??E0zLzf?l`Irlibqbq(PIdRB|*iGk3&s)L5UinP~w znwH<5T>hoxUtP36H(I;3|J%23duKlbJ5u!M5r?i#4!ZTO`_+w0aDBQ zq$17%w+>R}D8(g-B_bfIw&xyFqzjbCSjil4gCGp)$7oxsqBu?J_V!=!7(VR{e^89E zj~*>CHWj{eXAd8TuhBA^N4V)wCmi)lh;@GB4q!{8G1nyL6tK6DF zuV@*8r21`zjy^>Hm2!97lvOd~MP@Mn=V~z=Dg9})?gHpvrQpPn;o@`ZE}p4HEh z8wjz?B*?M5slQRnj6Z;()t@4>kwoO{$*#5E+*DRTW;6Jv-$q=wt?z>&Sh(6*8VyS? zBw_TeYkYEq_-`QHBZOK_B+>j38>!rvS!)d+-Vto$M@s|&aDhA>Zb-pX%TI^u2@^Bb zS9?$$bzTEI7U#{a2_lp?lE6wKuqictmRrr(1)@kw@}MRMTyFvvnMe23E{W|N&*z`9 zamBx06M22RtAvP|a{;_y-NcyQ;~xgG2Cv#(*kwSG!3k#5UqFznR%=&gGSj_jL-y6> zn5>AO%C0G4R{O1X)5eW?CHd5`W9hsLo#wj_AFk58iSJdSbJ|4+X^oa3OVZRY!3pFV z`+BbhWlGpP+qsmxFP?&lR-h0Y4q!kF1{vLK?6og-OFL?o;GJ-!)srj#j?r~{OnX2~ z`8ixzKB@fC);ARl+%cHF%|hRF!USR2z=B;+^Hmx{bLY$ntp1gB(NHNRaT-(eH06f{zG(BZL-XBRqqKAW3f5cn;?x+$L&KE3hP6|kG5T7| zg&P|64b|+^W9rGgR;`!T|G0W1>)f-;%{sRYh|!AA`t&ySVSU32EtmHxpJ)C0=}RZ! z?0qk~_C;+cbeVDAtkf!wKni6(?eH^ZT^*L+G5s5FYW~40Z;%f~C8F8u&> zKEVguJIrfd`G@EgPx|qDzQ_m3JY?_3vqHwfatcSVkX3AvAh^oSqrT5o#BwNGr4@s* zb~RsWP4et#%-De@Xq4*gASN%q-GpiU_1Bq{@zP*#vERk*Yh6ABS?`&`j##9CtOyLq<1=k153R4 z`AM%y6hO=FO);<*8XiYF*@`qhGhf;!yrjBT7&``}D<B`rqvqz=qb1=mpn>ws~;{&!Gk8GqXNte?q?oAt2#0DkD7GoMdy^b99yH86{PtCmF<@t&{Llm{Z)R9Uf z-;EYeCjHly=G`ii*8XsH&wP8{EMbK~sozU3un`!jh<9Z_J!N7$~%B ztm5!qoR<7%o!!F4Swr^am%7Rg=#`uC_woI8mzyXZqZq-;A>Ybow#(CI4<|Nul%zn9 ze53l3T|L8w^~kq*su_T}%wx~1ts{q5@%szMG*`D=q^n!;qffkozXu8<4X zdG^RF*qbz;Lz?t{79k=EAxqy$^xG|aS4_#0w>mL-?@msa%h7E^&1i7gxcbeUou^$A zv~LC+B`~Q16giFm;QheL#^r`innO+c+V3yB4X-}nJ%}geuq?m#*JrhB>UAtJDtqut zMUKzf%jtCg*>2?P+3xB4d!czUr+umLmTNT_j?u~ZYsIckNgn*LLY9r$;jE5ZcMSE7 zsu391Xc-DK$h8sTaajBF1ITPs$juRJ5WzfNuz%@Y_+~ehlnJX{99h_uD61*On%2ny;ST#02BaUdXecsxJ{k0tU^HxzKQDG0Z+3Ous{3n{N z{o-vWUHn{tt~#<)=$h4;o3;&oqPgAZvn`EF$NOikgI;AnqslqX5L&|NK65^0@*z&^_vcsnX2ruTpe{ukw$3m7_P20%^u0fHGD;MAS#JktWrfA~M zksk^N|4pe^E~O{3|1Dwyr6yV-Ttm^VUNBVuxLn$s?7FzsxzDm6Ta? z;k8y!=A|#!bvI^?-kJ1SYuZjU5T`zNd41~aRGi!n^b%oj+kLs`D!=1`*@(*BGncU# zSM|va1%FqRjekoAFa7+KWV&><=Pjf94vkA^`##f8D_Letgi zk2)z!-d|~0S)j7KKh;pfwy~w;l#+lCMIsr92ynnFr{nO3H)p+Xk7@35wrHq1LbZf| z&2WC^G&FYg!Z}N&rm-A%%zWpY^H1HMFNzTo(Mdm9F1qIBzOtvi{_mXLBna_K*fvnX zR<<6KEN0Ex*FM*{|=f=-H2;YC>VZP)ed79}=8?Xzh1PndG?YZK{LM1FHz@J2hu-8T%9SLyY~Fl7fpkRDFl1%3cR$WvSFx{PLDNlsg#F*D^4hOB zCi%gAW1>VV;?X#@wr-KIM_GUs{bLYU85|M$w}j&pc6-&7gF~nDaxjk!%h=p*J z2k%Wa)Zw++Xp~IZX+9w1Seu$YaVc`+Xb&qCLsAUqSSXa&e0!aA5F*nB_G|cyEj{lN zXE_9Y#m6;OoxOWjYSy=ea-f)Z*}CQ`sXNmUO8kxi&SGAbVHJ6 z7xqC%SPydInPktNvlrKy9o#i65q@?q`mlZN_nwpPV#2jgQz1+Lch2l|u7^hLtu>#| zB1#%?>Bn1-$P2H8D`m#ls{PuhTTQiCynh1%9}$0a&oPJ^KB24svD;k-&7a7~ysb-( zSgpmgyur~^XylcwQOoRG^vf{A#3#lNGTxqlI*9tJS3VdkTsujYa(7xhGv0eq9;+yt zo9%Q>x;XU2fn{cQZb?}O;i>oZ5--qZWf%ub+@HGvXO6cK*P}lZZ9i&3p{LqRR&g~o zDaF;Rsz5uba8>QaNCX8{XRa!m6I$-!hbKUhKRGm^X&mHn{sSAQ*^9c7>m!Vvx>)pb zl1rJ;#p~Lj*G3iLW0zf5w(0PM#1nh5eviHTUNmU|d%f2@<7q1tul;(%NlWfY$kk`p z6RLO4$3#0K`x(ll>cgA6&N{rX@pC15RE3*5yGQZ%D(MS4#trYf@~^`H%U_e=74HF~ zJ0-TU)>$RKfu-n_JVqr^2Us{k9AGo^Y;ltbyYor&{g;H@7?64D?)j!Sp6p7q1&2@L zuGayDdw*Thtpv!_v$KcH>+m!p<6r<*ul%?ZG5e5{==zqDX}*6vF{+47Wmf5Fw~QO+ zbCw>@+0fehLg{r;lMmayl+m&v^F?luYM9j)1vG192E!?{>X0N!5 zm>+-5`6RhU^1cQwjP|iU51uFiGnzj$myJNCaTEE-L9Coy5Kuqn`P#FxCz}{q3#{_wb6D|@-tf#@G*tebbl-ycj_t0)(^Z{zQh?;HchC`dHFP|QJF)(BX z;hlDv&4o1bS)WOBFFmhF@bm@8ISEjO?c^#1S-X2~ADQx(Z{w^{K=EDBoTG65cI4bf zkmZ&2YpAMk5tR1ul`09N8$2WRcLu6T(wvs!j=ni_br1_lV?TEswI+bNG?KitK)^Dx z>Vf9n0tTWjPq>@b$E376X4L?^YVuLG)B$$2^KHt-&pyZygU#R1(FSFIqBxqdy!(YO zZPEyKCfyqzId6{z)0h^+7w#LYWHf|_ANO(f_cseinb$oqjwFxGXS^bsA5l#}(f!zQ z$fD_~P!YI)D9p+S+}+GFUU<4WL)G)_l%#9#L3D8s_q&q77?hgD0h6h*Y&> zLf1(kWAEbGzLh7BhMDbr!)Fu#P<($irgIL7BvlYV`oNjmst?hrmxx<7e|Z{|HN?`o zzx1`pW6=D(@Lu^G;7CG~(Np)#rJd+VfRh%ID8F)9_Y!Sb=%=gd6ySAp*vn9}=A*Lr zjT4pK^leF-WsHRsvAR;^bQvF7fW=Kp-D0o+AL_K`t4pf)n+vZK|3+voZnFSEk+WAk z#*9b2yb)+^7WZ}ss{bxp0G$uQzP|NXYd>tu(p^)A<^#zNoId|#$=+MTYh@qmA}@XK zJ*kctP)S(Pyq_u35-ZzhRb}m2`>WykJ@{?253@<9jC1DW`gD)kaT-mr1?eINp1U_S zVc8`T`ibZjvqU*+(we8}4$YETSTCt@eg|Cm>j)S!rC^WVq`REcE^M_CzgX*sbC*-W zziV;xQlS-zmN;lC8beeb$D>D)w$Wh*shg70jGwWR>pZme)`?_*MmQ=?2|m zh59|pbxc(o0o%0Q^l7o(8%ZXAJTF8iKKd82buxG519gmmL3;^HG$ZR?cKemyreMI* zh^0GCp8J;i_noxt=J4tY-L+rMW0imN6LUAKTQ4rToBfOy@1TVTyvCQGN$-_Gs1m_` z$w8&*(czzqEQ8`rAWY$itvyz^Yl6&O~Qi7c;GP5ZZWqbLvD;~|=+-nkdjO!S+WNl3V zG>8j%C1?dj$=xKUO9FTX{p2m*B-~jIn>=9Bnjf#7szC@&HNH)y=LWyOMWr7b0Pg`4 zj!-l64CCD@&-jgc+IzO=6}hiGPut}>B69uscuza%*bRCAZhmF!#GA(Gaz=S+*Hv$J z2vkEm)WIcJ6AP|{D19TXH=AD+J0T5 zt{NoSfP5H?F*`)*2?PlunCOyZFwz7>dZLJelm&I9li=tVOC$rs1Sw;P2nGg}UI)Zo z3rG=Rlp-ZGk*4&bu-E;vXa9faeETo{@OXrocjhVgeU*+S2QGR3x6R~K)?yA$m)q$c3 z1T+t{mSWe~#SKD8KoY;gk|*cRlv)^1+5}Av#nBFm8egX_C2$PEUnr|z1(n1Slj+K9pshtUR>#j^C21}7!8fr} z`zzP#Jis;^PHkjvD6oV2LFgl_d*Iey#B2+AadySAigJMvo4ON%M~aGiV;!xZx-Lg( z9d854CCZgDkIwGLNAO)aTtI4FOe%-nl~|WMUQ{d>&iUTBwUXesRq8|Zl&>!85$vHj zV6*)*x)z)m2-bSS5aFl9RgAQb-GLgNfGm3{5@Uq69GH#bap9@m!vU+(vPVe_^FO8B zzkP0V8HdaakeJkhoKCQ3yaS*m*uFdV;e8e>aSAq`)nJ80Mys%=n!1lzqQ9XmIxof0+GD& z_TW+5IiRD%$~#W^Az?We?sum4&FO^yO(nmtV5G`RtTXM0sA=Nyz$|)bGNdj>nAZRq zGzWNkgdPGzh;NNDP9>DoPI*jWwWL&;(} zCPQWEz2`pMJPPIY5fDiT5|OEKIy@3Su68b)&dlb2j>52ha1}yC;BemKY|OU8+Nv zsd{pHo*w!2;uzr%Ohep9-|V84hE(qXLf-Ua7I-X?PBgkwg_uzDqtQs=uFa$Hg8e~4 z><$#Q63z~&(QiKfXz$wTh3W7`1At-8T(k&Cgjr#;0TUX0Th5^8AMaQ=jqsK+8K2Ui zenN623f0|Qd?A=)Qooy-KJHUS{I4`P<|*d4Un%#HgjRJp{8)mPnAwcXtgpw$Ku zkbWz6-Wh7q7iK0+*G|(4CN5X+LxeJPsu}f`UUB;C zu#^eP2tx9dXnOwAs&SZkhHJvsiP)|MF_?~ixH0NgTf~RW^t}~vffAxAa-1V?AvAKxmPgVEaO0*U?;K*28t8OAPw2EWtj*om{HXI1>aqU5}* zumlN-B`XLGUK6u0sFoy`yOLVORsw`cLC>!rgS@Xl=ft@6+J=9kPOgM9=`oS=CO-rF z0ulc&8VNcBV_N=N*Nn|W;T{@Oa+L>Y*9i#WtI1}(`{z^37)Hj>O92|Cc~R4Y>5&)- zU;62)=4AZTO->gVbE_P$|C~R(fr4u(cEju~`7pdQE_A7Tgj#g7Wn*fo2?Ffu6gw?1 zKGRuJ87`!Eejm$GGowcf0I*l&>eAiiBY+u^R%O->D6Wkp5mZ%O?M1h;RNefZSd1Lb zl0BmUH`|mImS-m3_tdN%=uID-FIS+%NSCu?thon8^A}1)|HWVNOl(5DzysEijPUCvlgr2tEY8F#k4I3y3YnxC%yBGQ z{E8Dibn{CxuAl&M@;ndxbwvfwf(xPSpU<`FV@kCM%n<1e2ck2*bQI_sp&>rne7oAa z-nkFeGuAP77uXRSsS;$ngN8mt;h>+#6!mcyvH~ks=Z5p&d?FTm^0g=S}OX!1- z?;e70eBHHt!T)Y7umMULihn`0d5jo1Uf9Vym}v$;D9+7SO+vo91Xx5Yjx)-aRV=ylfQ`L zd0V*T`^5W74M|gh{gedvMKhrFESN_h;I9QL8*{+yJg`aWyjZ}{&AWZ%x*R<^;O~WM zO|8b8O?HlolVNCZy7dC9B0bv(C*Y^WS@9wl^_4j!zhc6UqM&7^+=dva4eKXgaR?Km za_%RZhmxV}J-BS1gs8*mlKd)Yi$XYVdh*5-mQrZ?$^CEGx3W7pB2R|1DmehTN-Yq- zoq%D=s*-R!Wi$a_t^nJmH$~)PM$bivFvAItbP+35?8l%WLH1nGtF`abBT&!=q5-G1 z+j>4GHuf4|Ay+_%4Z80`e=i(!!7;;uXbz!dU)Q=h6=PwO`lzknwpZ#PEWvegq*m@3CM4$$d9*-R z$xW4weD+?(U`zZ#h#3=(&M%vRxj0!21tlqA@pAFgQUq4gQ=w8kvMEE z#XIEt00C7&iaUTCT`a^TTeb$qrF;t17|p?77HA3Sn#RMaU0S;+CB+3dfP*MXDr*T` zm@i)}dFwB}1y4^Z<0mkTVzCRz?12>vz*39(@rN)-nr-?*FC%-4k`g0xsM|6AbyqR4 zf5+T7nVux;u!}(^iAQ=?5ACZ>jK`pt)tdlD=%P9FD~NnL7qDf*uufxerpFzmUv1)b zuTFSeQ`z|M@VG=UM?b)6Nu5R{xA1!ES+NT=`uCbrA#Sm;!S~&^)Nzj?R@#_Fv zP}Z#h(a5bOV;4lYnpkwc2Qw4S2Ez;?IlE>%XFFi0#v1h@GO4S)pP#$apv`Z$Rb2<3 z9f13ewF)|L++r!gVo?174zJlso-YD3kM zQ$|1rp7KASB-}-CC{k|Qy)O`=JkPDL-?N$x9vY#cu1_F^WTpKbM9HB~>^^KzauvZm z{Q9kafe&oQ%1QCUL}~_Xrs|<`{AMazU-G8}-;EXw16J;Zs3U4l#hGnkg>QDpNBLDcKQizo$4_LuQdO#OiiHEL;uO8LzbF#(I{*+_3u%qfO@G z`j$mlo+6{ephE28+zG>ZX3frU096+sG1i4U&fy4?TrZ$DP9f73`m$oC zZe2l8l59;nAPM;cjVVkug~BNds8UP43f7b&iGQveK@8Z)&(xytYK#_r+%{aJTbUT^tssQEyl!e zCqv%{v7H+AGQzj~vB@h>Mm~FCk`d3x1??Z3?DyJIfJ$kSh(pG>R^4v zj(0OH8z;Qqm?I)HHhJzTJ{v}2y4(3}suIEXv^vrO-B3eczM_St4R{h-*$`{})i7wTe3H z!WROte{vs~5Wy$E>IjvkxOVkx${@{DPGZHpOk6v-%x=}vZpb6~En@k)t-18D1R(A> z?9qn-h<~BBF|iy&s17--6i&fUulCb}*KfJQvRr4_6SXTCOY;GkoV|C4YGlV+ol?K+ zbvjyFHLx>^byGaB#G(4tSq~fr7(YGA*8Szc;S7dY2XUp%OoAHQB%^ikHUHJ9z6aYJh%iXA6eOR zlx)2+i>}qb2U#0-($6sF%5GfdAx{K8znSqi&_f?-k zIrR4s>r-`TReA_2QZv*I^_rq&O6_3k9ym+N4?^27F_zCKI~QJF8b`4GaMn|Q5_r?v zJp?(3HVT@(eMANnd3TgV{GK_2_fzo&uE6mR+%RUo1s9;&Ex`$-8o z-xAcdW#=px**Xe{fWsvQj`_7|<=y8E;qYHAra1XI;$krAzUtFBljS^crRZBin5a!? zv0mgsj$uK5#3&!o(j8&~QBIN>6*mNfPkW$)x$;MD73!-Mm9lgxZHQV605Jle{c<)| zc|;u4Wm&`ZzoYEYgY@ovSPT?FLS56D5^e+1L@C~eAiq@| z44{MX2Dh}WmH*+A;M*_;cQV#%VF|Nmdf yGZ!4RZ51QC#yMnnZE=?(=!K)Sn2x0_tBycmxFHZ| z#+NYRH)C<{w%`Y*v68$j{DeQpGS$BD1KVCf+X;c7eu?}>iCEY+MIh)9in3A<+>+NO z+`S$QOdM@@DMu+P+{`J$3C6v|nogQ$>|m|0WL>KBq01!4xm+S|bX12nt&DZwvXtXt zPFY#mJpsMZj0g5CukM6CLYEyGe?$G^OCaOe*%^1jwkl5ooK1Rb*QYjrJi&8AXsYtC zv+20Aa>h5$KpyP}bvbXyi#dWO@VA4PC@a?fsWP7V4i{5i|-2fpf_QJtUN zIdr+FA55=S66Q_d98OP^`xn&{#!d`>b718AfK~8!EmD+U^go%`o5dcB>!+@G?G`aJ z&~ST}qdI7G8Z0v(5kG89b z8&<}iFOG&=DE)bi3{-~K{#=4Ec8lTZEf{wpZ z*U(r5b)1y7I%=(%KkiQ;TE;mO~MveojVv=F4H8039${*iCYn%PaB z@7~n+cSZ8$(q3;8r}M7wUwb(4N}@11?atW9wX2_pB~axZ1dIz8WOwl<$+ z;joJb^Dk8MS4AfpL3r%A6GT_Ymq^!i?Rv!54XFsm+%&U9HLB!wKS?k#; zIKp!5{iCNdZx1`Ayhd(fzOovOM@uRiW=^J}joS^T_=^5FS4Q8nm(m>4P2MOI7g3nf zEsOd6(lu-1efc|sZ>0mOKL#J2@MlJ|pp5r!ONnAvbL|PHxkXIm__c>b(4Go&U3r`K zF14KCktG0a!v@NKPy!#|F9vTd+wb|F0%$|>AM+{ zQ61|hP5o5|#xF09h%h8BiCwVmyE3h#*Qm@zRoi?xSj|&As)hxJclYyY<{ACGL&4Dz&T5qer`m9!}O)`RhgDa3CyYJbsLp*C6Ni6n9j zjTaFnWfE8RF6D7{JZ1|s3())%fa?QkGOM2uXij>*Ci5>cW*lC&nDv+m z(kFKaej9P)D>?7LY+FQ;AQ1Cmk>~!4erZCUm(`9K<23!n!-joLET%@I<51QpM-3ER z=6)<*RwLesHPdB#FqH{0J;wP!e1hmwWjLXcSyrcaahBb^EHCnV*G5URLvGRe*Eyuo|nwX%A!8h%0`4Uw4xcIFCD?l==Q$hHJ-DWc8=F= zY=hv#4WApKTD~u2c>it`dj`oic8d?%X_8w+FRPK*mgsioMtrau&Y%{x^)DL28Z|Gx zVfLozuzK`5$;Bo^B}O-=tF(M#U#opB>Q$Nyt+fniTYL;u^pgBo8e$u4`AvnR^#jOe z3rz5~GtcESnaYzArvu$)Pq?Pb8&2=#cA;saRGZ&_`3EoluX>ft%tL$g=ZbX{$);Bu z3LDNPBNCT}PhONymj}V(_3opvrl(PPSSX;eSJeO zbCZ>|t)elUTEy*e!d1KMDY@j;E$V4bc4`Z;D%1&RHM zY-%BxBp>DdI@Xq9L;Y7A#F$Kk5Vm(`&T~j!oS%`4dkIR?Y~52y$y-_SN_?u1O@(oV zxNB)2h2~PM_m!I?t)nNn+npa0NTaKT-V6<*{EbqfgIm+fK4-tV-L|HgGW^iQ$#%7QT5SF_o*s)RSx|CP`-3 z^Xe_!gX!3RHnBH9Q^a1%z<@?32+z{R6kh2$ISHpxjmph5-=>%x@!7djZ(~pOR(?#~ zPpK7Kc=In*uHRL~!Z|ruS9<*Taq+ENY;2i!Q*}hN`O}mg`CKB*L4(X@H_OT2>J`@! zb{D3Ue4^s{dg~vM&D3voK-793c4`N{s|s(|{*XZZaM$kYmkj@+na4LMB!=zVOI_*g z3BRBZW3nM=&{YvTNu(cpx&M2(KSICiS*v!Sezl8AF3p?bySz$xR5e6dw&`mb-5wDs zS+$oNJ~Tx)+~K$J!g`D9rR>FKxZwBS3-^$Hf8V%JtCN-O=1n?^FzG&$tguKdh5*CF zJIDL)_EXo>#r!54C>tKDj2qH3x&0;CYqC1;!tCp8tw|T!WmYjnq&$oLE>JOvHY+I^ z#TgoH8^{}q?v1eUoA%@VdrZkKZB2cBl{U9r3AT>L zkfp31)ZvQCdR+^m=HJ&uS@mNMR_i?QP#NK97@{CAu=?NbThtGq^7ef0w=hZprbkm9 z+8_3F=KBnaJfGaJ)3xwc5wWntvNv1a)=awhQu@D%z=LnJ|7$=f#~udd3K}t4i@49j#pWSFc`W)33TRE2d9t z=Mp$_tl3fTE}4eemP(}4WfoPE@~)O^H@agUCFXBPJ>lo7D=Lb@z$N9YE`ry4+S=G$ zG+G0a+j zuU>mS@`xnAi&hm2ZEQk}ZCv%1T6{_}oeO6X%L0TO!`{&d)8KoG|15ltHnta*(O|B& zltxrd&Z9hIA+#@$*>}{ei%K1O25Ljax?fhfz;- z!JI*-f&Qu1JwYA2*(&|G{{(59Di#g8xaPfklJ!1k%M;ZCDI%^+kePm;KeOJp9ski5 zdkb5ovy5Dj&@H3m`pb<5>xMe=wq%*JT37lLbUThwrTA$T^Q-nuTX#uK|5jt~=6#HF zya%XK#w<5)Uc$k_3D|PtH$BH&>yaxQjKlK6e|ss0SgpGg^*sKl8yjEy=cj_aI(iDn z0Rwt_^lk1pY0ToecNo9qeGK;uIUMa657P-VCj85sydSMe)hsPL{4EBEO(I&3X>KF! zBw6M^)aw8In#sVd9sMVA%%#u;5rUZ42-Yy3<&TtIK0>@jQ$|}vk)mw6`S%1kE0^@J ze=?_*beJU=7OS<~4%W1~;`txgzk~XNBIFzr?!ou<{Jssiq>J?5~ zTiZ=`c2mfQr=uk-_gjRgDW=sVovrH;ER_F^ofU#pazTuAwKVay>dm@mzxr8nQUq*9 zn`Xa|o#GhMd!P@a>_OJEa|MmSxxHre!;;WK?T6V91xQK)(vT^_oY z1rFub|Ath5syBJM>*i$MpizNAt@@}f%Kxm7j&mAMKGil)C%Icmj*CfkrCv@_@ zZcJ2vDw#kH|9o7IqtzohVlK0KrpuI^TMA3Z|DUBR!141B3=GWU5tS+G2|z{isDs=P z`XS7r)9U{eM$+I9+@sdx>xut{ZK-C8Urpi@>zvP)yb(tXc9k($3`GM<#W(B4OD1_+ z3i;$b!>T8E|E;_Ste8Y0vO2Xh7JLbh+MS1H{!-f*56|W$yhw^PoF=cF2?A|e*1O1@s{^Vc8{9>>;VLX@de=cno6AJLqngI&D zQvU3~#J7J7n18`wuCJumk5^^=26MJU|0Z^}nCDfklE;mhg9V0DvtfCL^{KtR>VAiQ z6~juzc{?xH!Q!$7S{7W55@J?>sD>p)3r|V6G}5s|mWZ&B``AiP@h87aa)J@%sG184 z3m7-#UI*{3^nKF4ny*zDFj8!e_3+`t%hN8?Ryww8`q@1@qyGWXm#J8v1Ly=@fK&i9 z_mo;|?(D8o-lwZwA1mi|-OwZD&{H5nzdS3ZR?s+~@51w6qP)y7EtPK0M`0Qvc93pZ z@AGVZG**GZ`!3rh)VoSb+Eve3AQImrIUc?}$5zCnP(3U3e`9>~q4V|0)dQY%bUF!% zw0!+)b#--VDJd_S!v9pI50EH@n~$bxjHtd84&3-F;~7x8@hh&p#ayEk|0!K%DzB2D zWPK3n;_;u$GFQYh;`&0?UAb5p)_~O@ZKO;2{cpYhKbPD;3;2KMD?1A@`qxk!>KA`6 zKYRPS6cPIW{`ddtE{1H&e-l$tUBvWX|0rsd<=>5o>R0_YGNUqG+Wy4|hEk1xz}tm~ zk&&^RGoGvXl}~ z3x8Qk_1q~f@D6jBYu;|Aw7d84;lOMmx|Adv=?&6QZma$*Qo92F2M-?HyMJHG)YMe> zWv}g;a?4ZA8m2LI>(sH2snsbfzkwK~i5>qVB&{R{^K@IjlNtUbQ4@`HIf-Ia(kgm_ z9nGXN>wCWByF6JdA~0@`wv^^8UZ|D(efD!!7J{oXBPD3)$;m<`oM=4^3H&j!_2>Hq z$qvorVZUOlZ6|~|s@He`e%lCrww{x|Rz>P(@g%AYsVD~i<{Xm{?e?^fC6W8tyEm8t-T#Pzz^R3DNm-y{LN4r zgQAtvKk-V=u3r^XXwt$&OGtV9wRx(05UAM!mZY>aH7It=gL#yY$kV@a3e0}*t>o&I ze&&}!I>MPfI?ghlc>Z7yRA$%9Se&?X~B>S6dxt7Luk;&1#*oq#AtBcWLu0W^rI^RTUMn ztJljYnNyw-yG}Thtq$h3U(* zu2UT$%&7`#;@&qwHbW^wMvd3W*wiAY?=kKz&HSIg1revKh8MHFN}Q%})=Zg~1XT77 zDC1tc9Y9>ORjF@1%AF3Pw4I)QPWaKJC46snC<2$W<_%JDUGszwF4THG)A-VSUq?wv z>9~>hydl9nRS}c~@&nDgQeV@EC9W3Krw$qV*7iiB-(E`0-8||@7K+X(s7pLMoJxcE zB?|q1^VTgT+pY!Ydxm($W*xI_w+fz2c^`g&tHGn-3vTDEPY%Q-GjrBUbkaA?scd;y znZ_Jed9E|difD8+U1@pAXOj?YeQF)Yc? zdKD4luylGJDm zN!{;(f}K(80@Lw}vN7Aalc@{wNQKPKvYj1AB>B0of93 zKzT}cTIyu!8W1N?6WhNsb-F0v{ww=a@8Eqsy`Q<-#n(jLxDba^z7k}HUJkW3lb)Nk z$j{-U4|-22CQw z2B(kNZrw7GS-~`xWeI5}Sscr`HS$Pb3L)!v&HYN0yg}knJQ3om6u(GTMwFYeI4AK3 z6FxZu25F*(pkM2EphSDlatfA{AalMG*@-|LV_liot~&G2312$W-#aLQ2}3 zrz?=rGrs42GD}wf<5odURCLwow-?wX*Tg)Y>As}TW z)aC23!tXMAEF@1oUF?5yw`8*S4bN%azkm4(85x#jceU##7%9Rg$B^9VnVAfT0HDao zdJk3LYaF|(d9dNXvjDnLh5RMSE~A#tzw~Q8oV!0L#pkXHUYzdsHJ3xy#F#w$hRyus z;S}w~QHzJ6la!Pc0v&=ouly&-pQ7+uus^;A;Zy#~vz~1V(H_Fc%)8}9bv;r6c@3DW zE2E{>Uu?$8j82cXwM#`j57x}6i>XCi&|lK}xD6KU#_8H-m*+oAbW$0t3s)80Zt^&s zD6!OVtk*NZnzV=Se6O95&vS75M>lhnrY*!@d`1PA(e(bPBe&SXn;{ zH2>LctJe~zGlXHnog5r#r3*0{s+POg5{s2ngiA-#NTNoAWcU=+MR=jC#OU6sc3vIK z8Vff6`S$*jOW!lGCSq1r)+}(KAe+_?=q^R=zoy{-+*9zWGI7*Lra)=iRqH=oGxJpq<5-U zm+KRuCwu(LemeXG#jmDDbff;l2Z~jEGMnxB>G5lFUZ%<}G(ypa7#0nlW?`FAzK^OY zcVR~f#rB9mWoE*Dx{tZOB%qEm?Go7(eND-7)yJasZtXFh9I&Tz-K6X}|y(SC3mH&ZXdKw%Nttcm8g z9)z-e2ZVVjDf{eJBca-$=R&OJ?R|SjL-UHIdGM-%#j5UZyk z2c`GF>^k|$ZzJzjIYAn5ABh-XK72?|_X`L>4HulfBz{=g#n`^MBYeqo`#V{Jpu=@B zk3FN_OvP4fq3y{_Y4Nxm6?8V#m38?%mOmZ*j_m0khd7a)v#r9%zVFh%*VPfpzMl{s zy4(K%Y89m1pf+(W-);yo_I^Oe4QcTnGxi>xeMXw4rKL|{ALw~S0q^(NV0sA&iG>SpTpS$nS|$qj)Wm8~(DU2b z)S4V7IR%GykSjT9p?b}n+1?Jpn2J{B1R`r(2EJ$eF-vAY-+sL;PZc?EZl3IbsV2HD z+venZwrVJ}->=aZXSZC|2LX6t;_7stL}#z$CewFp5L_ zvdeqJDObPx_Cn7xKFLezVX)p4B(8FBWcAWdRQyQ!{%w;Z^b-aM(6Z_8A87x zn&c*OB^DC92AnY}y(O+(y~-H%cgsi`qHRjK(V*oP)SnAQE9|_A=h0c!ekAeiZnwM@=pz@QSA_ zDbJG4T>8r!uM97-BC-gqO^1!jB{QlF_;cNT67KM)Lko5Msl#^t;mC7cg1nQFKCSnu z$7Gv!uY6TgJU1%Gq5L@$7akuUYcux&PmGojtN{Xiy7f{*`Plz6fa+S^$p*SqLn6Pm zdNaSo@8$QEX9r{C+{Ut_RbV|8ZBT*Dpx*pZ6=`mr0@0d*om>hvJT*>P->kn72k8C) z-#`#q-SKvIcA_@RpZ2@ze~eB`>jDysW?O&e!cjR-Tz4|D`H}r_yM@*XDtuqDxtci8 z^xRH0L2f+zv;85bJ{18J`!<$OT<$wh5FkJszdUX%3a`x5^EqA^cOKG50J_FPtEVpP zMpXZmvr4(1Q*y)KHcc+y3{FuB{G0(-^e6fS!=ir}ln>6E{?|qVRfIibF z6;&Y190}Ki0j+;AxF-Gb$D&clpMvGHBw;7IFh0pKJbU$$#v>SD=8M$;D@gye+m{pU z;aGF!bmg~P^vA;Iuxj=|0ZWG8h5>PzIzK3@0J&76J2&=^P@S-sdyqa`%}0Nm4h|I8aIbF=PC7}hfW}bkjt%D{4_#_qh#J( z)u~fMSYXoa250@LP1TTdk_@HxXXP>WSS;!%%U+ z^Ui+#U{~SGTNbIB+90L^J%DQwmo>UesQLBh9QmLt(!38^e|y&g>Q4Gzc%L7&NFWnfLtnom)pMg2_-^ZR&-)c1 zH+PS(-g>kJRGQmiR@T5{g;6e?s4W|zgI2rpmXcqa?(Xg$x2pL>d5PMLmb_l5Kkl$I8=nL!rYf?|M>iR2)st}tKX8og zWWC(b(R=1wpmQ17l`HnpUO}@5ZodtTBy(@v_Ooh=@IW;?afm&jG!w1BGXn98<1Xf* zB;njUf?p5b)1GB1I+w&*@U?NbP(}9%Q&tgJt@dY=G`=M4(pr2YL!g+?sb9rss;i{0 z*%7=Kh-ZfC&z*~dWR% znj?HqO_)@Zf57f*GgsnvgFV|EPTd}@Cf*vWX`skJJo7mxe>TxNKihTrjhsFwa61#FZ)4lb5phpz$a8c_#~u_zI`+oQSSD7)HxLG)nD1Jv1{Zny9{&MOdzZZ#yQdeVImaFG%F_)ToGcjA2V4X{~8JHttv@`+*Z z!wE`#dFxRiqm%<8Y??z-!(iq2PQN~!vGyJ-vvDpfKX4u(ZlNdB+2Lg-TgonjBg!Wo zXXZ4uwBGX2@OdRRI z#8<8kP`|oyDd35!(b3jSYZ>L|>awRMm_RbUcd$}G$fZ3e5WZ+7>`h z#n&oIk1j=ZU5i5WO^`7Zr_MT2{i2ZYi*HTBACHz;BIP+bNe!*{-sR1@6Apx?zVlU( zL+zi#KqCPGzsB=Kq3wwlcs*bp!rb8`Qi7MoFCjx21{Dg0yTF!!Xl{kGyRCePcZ2o^ z2xT8b4U|)L)5-i`(hfP~&#~^}qmv6Z)Gn@f`X{B`Qztd<8aq z2C~qyU(hkHXR^w9)eSP-9SZpoNX`xjm}^`{2;>`)WEZJd-ZKp=sxBMe7k(g$8)EB1iassiE7v9Ez@BFlh6Pugt7%^k1LyK`hp;;59D>| z@LIPv%sG^gknKgCUip;v5uDQ2xy$Fh`kt?6e>2#sVQ5u4nzofSWhxQT3Y3A|vg{h$ zS!fqp$&99OZvO?cA$k?4err>gX5G%!N4Z*G;iG=&yG|f!xSGTnAACP6I_;6C?EtEs z7-NyfZ%sxbNC^6X9?V`_YDkE z*E*`Y#819FX+=iCFFnog-@hk&?X-?R>r>IL_Z68C$XS4flA4(Dz4t-QI`!d$gc( z6e^n&ZxDxUec<#CX`%H^o;urbMY1mEw$pVxUz6jV1w2}D(S?n$W*89CrhN%|)?xVZ zOGak?WUj}k;1VjFB=CdlFmHcV)4-h(S*kxJJKl{pj>#90 zOgtkgA9qwrX*Hv`rMdp_(IZD-o!h%<7d4$_;GPxP&q(_mR!=$npnnN8bUwFb&>L!V z(jFsk^lq1g#IXkw%+EJ3&NDgbTh?2*R+G!+X}x1)2*qN0dwX+7bJS)_ zH6K0dEi{pz1o-xtBH^svBYrOzHVbJn4*}fz>tYEgd?i>?zm$DS+_q6lYSTA*SB; zbfPMjIn^xy`3-jZ2RxNGoqr8Fjiuve<+}cRHTYujE1PmMAqOxaAs0q5FpbO3$rE>jH^&+{ql=>Xsoyv8VF9r|_GWzCC*ue{jp=OHkm`^yIy0?{!tIpq`Zbk&|nR zzf+UmFL!8oH2^mL_%)EjdoFfzw&_dQ(AwiR>wYg2mwU&}eL=YF(WCpxQ+u?QhK3q# zK|44>a#fde+$UP(4vf_IUy4HYXvMB5x{Qv33{vQM={bDA+VQ(uSpKC!UAu)>xAGN^dlnbs4b4F7A(FihMnrdh+(7>PnaF?3v}Pqm z3hc5SCl2n^3WmT^g#dx=7LwWewayd~fgA&(sLW;&sGqIv?e9N-euYiKlzHZ;_weC& zU%T(TEC;6km_d$*+2aEXE6VO4a~hOUv&g@^=}%%6) zajozndQF2m6PD7jIUiXvYsOe~F}K`}F$Z(}g>6+s0pB(?47I`9mBp zD|VTkuI=64eA+sA<=ufvjenVWi;bKIB_aqKITBu+l9 zzv*+S;a#Mf=XV_5p-f=fHg*(o}SKMD3$MfS^;rJsx9SY!N?&4 z&oGchT&5?WiG@Jx3qg4of-8znJB$*q*2%oJKHnN0y&5696Wpq=XeCvs#U>x*9x}aiGPmW4++d zzLoIxX~R1t6x~8-d{k~#JQ=B)eRWGc$^+?AWMu_|*9RVq+{1@g!RUMfH0?E|Kz^$X zSxig}?DH}tZOQ@CdH@2FouA)XRZDxeEZ^Fs0c6e%8WKR37(t_e@mcJ=`Usd_>3rtH zq}w*L02!UEgD}nV?hX@rH8i*U-FW!*9bKW@p-uZ-b~6uI0!8-ZX5Th`3dw`C;;@P6 zA00wzV)n#Mi-*W%Dz_Q_LZ73k19G`?{x__cMyIZUfkBaZCrr%trk2Y(mc#WUHxlWd z6c|d}y?Ym`F-yq$Q;%cSq}ySjlhq$QXo70e)Eq_$S8oQg4Im~*bw@-r&cxfmYx@qU zF@*>kF{J%k)Y;_eRX*XO6xR{MMk8o%bhmdA2%;*@2~0>ZsippeyNex9wN-yF+bcrP zEiXGO`Uq~@X6$wxyKZx)Vlkydw2}YyTQfErYcVjRoK-edg z z*y4D&4c4uJ7ZO0j5ZMgc0W|%PoTTjg{#)%5XXSjse;HlAETMpPnBu;!)ntoveaBRrG5}ScNRcTo_BZ6H3|>YV5+yKT;CF z<3m&P)#R&Z%>A$QYn`!?Gvg%W9T7LMoD7~^GM7JCsK5Tag3XbxKG@5D?D~7bTSc7J zJ^sfrjxt-AYUrC9cYXh@ z%;WOSM%&bGzVo~BKFw!yoqR>IOMx5AY-2zh?VGf@a7}&2A^!tPH|=b20@uU(J2j#CharAsbvU>@@>w zW?|+fZGQAP#t~TU?f?)-%b10OV-XsC9agVx6sz+|6}N)yPN?~<9w_nAE8{Ii z2A?|(+^UHBi?dBV=yJ4H0RbK_XdE(HnR8S4S7AD8S#-^Mq z5Uge&QxQiZM%cK-E}FU+eE9}Na{oGVp?CF&(47we!;m%E1k@#rI)*4PNVAd7L5JJ8 z`89d#Du%k<)s83NwatJ8HUhM76(-r-hN^yBdjmNH4@}*16{+JjJPH}}7hq`sxC9~a z695-?grVV~LauvtmZUh4#1q7nS$Db=OKl1Wo#nA|PGol$EHBHK=06U^9*JZh%!YFA z0Db5Ms}^ZqZo$46TK0X+4SMCjm*y1mSP2mhR0gx)`PP9J+u-yYQkaVU2n}>d*i5m> zeMah4Pn8+#cfdQK!wchQ$Z1Tlq}1Yci=HUf4oPQplBf#$BTZCf0~=D_kqQ%^B4(TF zcE7IBsVhTLYT1bJM#Y@^=#RbfO=v3nwAIaE5B0Y0iF+O|#B2B{w=Q-je7viSsp)B4 z>Z;Wh_SILbne^ZTuS5h@n`tDP(3_3<`xnl`fzsihXfMc)QKw$vU6-S|Fv504cN)G- zG5DBsc1ftuZ9atd^Z@63Spv@agIYhtu=@R0A!VkB=Pm6cIB^em>zH{ zD@tx^^cj2%*|Ab$_?#pX=c<*FFPkAUWLq(VNy@I%1PrIm@O+01wyUxGoeZ+vRYK4T zB2$N*eZh0;#2~aJ?aSIlvFqYCzup<`#m|W%y^t3%mxzh4=V*~g4-n(uk6|q>E7>cI z?^l0dS$e=;SSA{0MWpj#p|JD;g%S~C$936^5O#*(Tvw5L3EQQ&m9C2%+Wotp8zKen zwYD3{o}CHB9X}7f;%h|ps-9uf(9qN@eE|~w7|dWnm$hrg#>QWazvHY;RFgq>L=2gF zeL{kQ-70ZlpA1^)2mWYllZHVSq(si~t%g@V%ij4wj0l*dYi^ehyX02c!xfleF$!rF z6!wep=FMOorE9-s**G{pnwdcpDSP`z{aR>s_dE4$w^3)EJW?pOSFYG{;XQ}W$o-Do zlf%v3fYyG7rwDRHaCkUre-?40x_{WU!MGMvNZ7sIug|em5~YGkDNP)# zkKHM?#3H0omVk3f<&kX&8aX&Qy_d3Tx+dXMlTOOg4)iu_+5)@?PV~OL)HJF6%m@;Xw)?)TJJm3&Cm4uhfKo-xAKrU^iWk*aFwEW;e)W z8QQe7miKjE@jLze!d`i1K&`+)?4hrysAx7p0HCa?JAxC43V^_s&}@%?g%TI2s$77O zlgT^FzNL?QgC&i?65K|+7lF4Il!?zxdRA`mzUU=S=Ln~O=TA_?wCJtG7TwSKwys&X@;{Ia73fAUetX*jy)Wr~v(SRPnc18jd5Hm(1+G+y4L(ATf= z1VuzNbFMxGZU64x%{PgOIFbbpevEoqA;lYoid^1vk3q%zh zI0rLD72YSeJ9K~GNa9Hck5m<{dVq~Ny=$8y>`X*M6AmML-&$Jaxl~>fP$QNnvV&ta zQmlpAVQBC&5m7_Zd-d!qAe*K2^r$%WD*S%_RDNP+Hv26QH#ju3G3)+&x5M(&Q!jLM z^l8}20RsuxlA6>0V83zzuRSMc>*HZ$WaFD$3;Mb?QjCHSaow25&Z+ns^0_fy*SXkZ z->S!>^$Aa^+GCBy_<>d+M9WLs#qb;fPtJSMM|9fdw)&x7YXb#_X;v=em?^W@rJQgAp6KQTrD}&@-fGXUB(Fe;yG*2op8I$;njF&NDb}6&r$3vuzH9{gy~&a^>hk z-(nJIHs1Nv_YSBZT>g8`B;gbSL*KK~o=vFMW{-wpb`h19mX=D;zCocOIXe0|m}}h^ zWb8T&Hx+INR#%I7`{!q6Ny^Hi!>Y+)=t4SHR#s|#F+u^8)Wo5#r>94&#*MqTug{(0 zOINCxjI=Z=P_^$$zPpPm(Z@m}BD;LN9gi*jgt;p?e~r_b`}yEGrKzFRk}gBeL`FtR zrDf6I3BU10~U9)@?9~XC>jqPVvzOjk_Rb$)H5^RZ!Q{H~7(mU(-5{?@T z8iCm6d|x|;L8%XE16HNeiB7A7?0DonFB0DtpF&$QSYL`* zJ6F?Val=XZDwZ#u)5z&cYdqZ=dc?KO+E$`d!?@k-sqXtTw(R-tl=LJ?)p-4wH0@51 z&3hP;iXQr5b>LK*pMw@68vxTg)6l{0w%~Kyna3{JRHk0MjR6*(!^wdSpH;uYgPZHi z%fadCbQYyL$>QFLi#B0$Li9~f^+!tUS-&~By4GGSkB{s1IDYo@ewZ_`JYLCLO9s6b z;Jm0XB8-GN7`A%V-F=VGZj!1aNkHDh;wJJpFe{T@QgQ`m+0wh1SYvSjVSHxlnn9Lq zcWK-}HOOC#%uaa#sWSZKzPG(fXC*4nZDD&^*%u>{N&_l#a+qCq^qS9KQ!cMV`euAh zsrZ;Z_*U>y91OWYxTADiTRWoN$bP^|B%Ot+?7X$NqVap=i>Nhn4uY&zF)P6X)FR;TU$BKE^=~m zK5q|?Dx-P_f$pwkq33Vj5Lvl!Mz>C{tb~9VLG}Co)f;+C+~%EB05Fo-57dV+Iy*aI z2n82RKDU()%S)v;V}q=rC>qjy`CsfilZ7nCD+=!?*&CV#DnD@D7`J?)U1r)&dUSHq z*x4B#Zumhxq@h7lIZZreNMNv&n_H8bjMG3C>NDGcx6LcCH3EEYQ(=XNhu4%0qPwH+ z1$->1`;7x-^U6~@r6s0xyJ|RGIDfdVt+n;t++8M5niK7(Y;JCD-QsIN`_|Uidq7UY z#dh;8El6lauL}#0Dp2ZNg5X$Qw#dxP>^5J8 z?p0HB^PoivGVXWidDEIaz~~Q9jAnWV$zkZdf3*$-O5)9Cun}%Qwa?Nlpn;5i(bOc% zrd@=NhKbhzMJStV2iUmJj5Ci{@Dk3?VT5?@;wYF`{y%;wycg9X!FskD7I=ycA0N z66d(oNp0|kU#Ubtu-O*|tQ`(F^x5<(h#(msB@I7v4ln#-QdnfGS5fkGgczp1zMpK? z+ws5?q3c}GxUYFtIssiL}i4w`LpFai5>(H&0Z1p`;e_HVxxzt8U# z=F|_bSYYJ!1vDCSdPiMz?fXaT=4_2>VL}4R41e_^&?;d$m5CF!%UZg(vM5B|zGO`q zZk$43`p3tUou!@WN%JW@*|>pwXG@kH&)7>jPLqHg=U%v@1wF=doj30Z)?`b)t!4ZP z-y(7ue2oMu{o`I!-c1jB|Ne&Edq3Q2_utnRhI9I=5y$t475JZ`_@O*EAXckk-EOd} z5>a4^urHov!C_4;_==;@o#-Irsp$R8=ojTN(Scbqx8!WtSrwbtr)m^hxy|P9eSIY0 z;$-9tX(gwmJT^Cf`I3+}fXKMt^#u_F6Vr8ZaT-u)8HZRRA|fvW17~0wSIWX7>wX;+ zdBDUhjZXwmc*sF*nv`*{8QZj}SG(9iBGTQug$pxHi(%MtFb8xBn)glX6Qn_XRZm9; zOHv{{aA)zGRZi&fb{YEM9cX*UTeuI}UP+M78Q9Td`QFmfI5jo(%L^41^^5DK0Unhg z5rPYZIMRUCS+xREAD={Vc}rMWc(y-V;}R}zBT$EKkbz&P8Ikz^_`OGhnCESn+X@9| zZoJwx;`c#J`$7#JF((>OFG!5^uffD5B<}{SRK$asn3&YVDuHR;fakth*(+cLjG+VE zUqaTM3(!C}S;RHms?i=M@R1{x%NM{R zzr!^I0b>J0gBE5srOeEj3OK8ut$cGziA+gRd44rtuQH0+3w>{t?~__uGfd$lKbh9| zG&1pBRYe6IKYuJ{WDY?XYo#7Rh%9RCT?{NNEEr28hY7WB@Vw#7;$kz2^5+4on^$n) zFQ6OfqFdoBy>BJUNQx=?9oSny&u)O8ZYu8O(L7{UOErQp67>GfXFFNbnp6(_me*4s z>U^oyz~@I{GMbv2FxiO-jm8#eV}t`SKw7YJ-+qCroknIWxQSAizAm)K=ec}%9FDxy z{L8RwIVEMofHg$qkF+hwH}1K{dtf5_0?=e@qZ zejxw!L)O@($-;yqR3KBw0tPPfpy9{vQC zc$t(m2oUvsR@SBL>})_kOe$(>~IA@5&q=zqz1!%OXkcD_bceUs$O+oL-h(g!F*-!;a{z|eHP92bHOP60D45-=0`5-4z=6R19< zmFJv2zr1`2$Ul*^JJ6)ZkkdwVVrA5bs?LdiJQ)4l;T9MSsqBjD;XD=OZ?8ZRYqoID;1JaWF#wK@7H*)V;nvQ_LPo06f{ch@$KW3q;0gcj55XD(^j$>85y-} z7B_Azd}Lu|?RJi0m*BmSCX=y6!42bO?b1#z*#jsm-?K$sgF-^?8n;4pEchYxG{{3s z?JEw&?SrBYBXadJ!EXmjEq9)V{(MK5?VhKN^JA@4-8fbYpDiCH7anaC;a?xpO(l+Y zx+f~w{k$HVkFRduj<*mtENlDbg$*om@YU_%yg{L>)r=&i46Rr|UD&AQan|@!V$ek2 zym`ZOW@9P-jbm&=f^tWpL21j>8hv<7OztGQt-u%ii7z$CYG8?aHZo#L^x1luCt`Zr zc$5SZJ}zQ^DSh)&(jDT;yII-UU0V=*-V_tY|321vyGJar7%pmLbXlohytvzb!w?eW5}Ha3(egFCC^($a)Zvb@XCd-~?z-^F7#6mIl1l$5cMmY-Q#U!LhpwX;>AHGoF& z^zD_O2KBa2qGjXWTo)&l7q3sXKIE{koexp=z5KaCf{;*&7ZV`shp(@0KO%9Lo1G=a zPB`#v-Kg%qw!J$l(%dk%x@5BF4a1HDq@t{2#yo{1Dk%-g(j$MDkCUteFSoI3unE7q zknBcDdT$S9(BtJBeP)uw${$6ZEB0o#MDN;dLhj$cb#(}+mEf&0jBw=s1la}5E1dWT z{q;Y8e-gRB_|5)ULh47<>9jN6D}n}PR=e^|UdfWlVFhkHb;j+dKDoc3eo6XAU*VAR zxtV_{xX~!CdFV{;aKibjF$C1N+lsOd|vwf|t|=+-G|EiWjkl0k+r^Vy5cm zR?%$nAyq2I_!_j4Ql+QFJ8T=zrSyI z2CrMwu<>w$nxVa1G0z5Y-M!h}R^sri)tp-;6a0C)@?>B*0IN*gm@;R&6e8I~8@_oN zzx3Jr^5x4)&qe-@(0R1fyJ(FH*%wD)%WuS9scGCk)*6#PYbqphVn^kM-qj8n5DB#O z^h)Q?@36tLcFgm+!_46<-%T9(h{Y6H-|9GZ2GIk%w|%LwJNl!q;tBAzGW+5Efb#<) zBDP~1ga$VTUDTkATJw=Cr?s{9A5a`NS$;;9GY{0V2_1iai-ASS4b71c5~6(q!YNP6 zCA~=#|Z`FUIwYgZ81+P@l`^$Ew#pWF4p+sOw{>4Wne@l{{3!d;^DM)7y zVpG`s@H7IBH9l@`|FuiM-^uKBaiuxd_-E3{eh@2diy0sh?*wi#-yB6gpDG4*t!h2i^6K;($rS-p*c!jsI3ukl6k&(gdridJz|E&STeyN94ua?^+n5KceY(VhCuKoLW?A*Dt4TxyR8@FFy=E>hZ zqk#pJ`b90ab~Df#q$T-xpkamMUyZL7|LiSHO^*lzM5iqujXSI2=H~#&IOGfU6alPZ zuLEbPh-GEUzR2X2vE8*bOuf=xONWiFUgb$p()#0pG>5*fu3czBch2W3!m)sU8HN{@k(EV>CM){nMZYwTe?jTyaY62N> zDtP{@+1zSHlQv_FxwDu71B;5h{GF*-VSY_{aO=B6v*1#g9i?1 z>HL6zc0p3yU_23kZRVO$ofk8%MecBOQ&Z;}ZPiehO?hoq3v)l)MSXqR*GnhgL|e<9 zIdA(P^lqtsx3+EM^jpX@v3}>>R1ozUiA3K>sxMQK9;6DcA#syY2uqJ1YoTdRa-hGF zBEMr>^oV3)+;t{Jh7g?)T>%N}FUG~jr>k$2U$^n=u3-5-w>hv?R4()!cT;d!80}!4 zH!JkmoWF5oLs_As(|nbksI&W(A((%FgM{_BR_veB2Gxpw!~1ezsh5F z=rkz4#>bir3bYmW!_i!Rf9_BZ`e+-~dc^rv@Oxyl4ZaToY#}gdiIr`O*GA!3|G+@1 zhnJULJHgDbs(W}y$F+|Kgeqik;;8@h<=kisu1saF>LQ=6HUA&Bu~iJ79!n$25f3Z5X0m?3GFU(b=a0T*UjW5S#sQ6?h{v8_#>o1)O6U3ra3T-FNToq?jP{nR0yc0uo*UWhIl?=b9d3hsM66jpJ z-i6wReAus+eX+BLif7GjKQ>U!8Hiu*wKxp9%?@2HyV>ZueM+;ns_(L~@vTonn0o`9 zrH&j4zwZW(W3AZY!a^H_B;jh=yX~$h&|>&a)_#N^SDom%t|pN1AMX8yqUNt(zgj)~ zXeBPQ*oS30-jy-1=7UYSVW#U3KtVx_Ge!ph)IN~v>$i1xbK{3ySfb{`v(^ZQF78jE z3U;r5DTXVVf8q+Un4FmSIQ$BNG^O0`uJRZ&wxL;s(>$6qt+2(r{y`o#}`QAE-K-}uonMJgJhQO zUMk{0&wnN9mW0wh89tCpwYz0+Z=Y~9{7I$N z$dEJr)eT+h-y7I#4VO4lBampZd0UI`iq1{S_dleGVamMAN*oYFK&V=F0}yV9h41IE z=F-4GHw8*xcqAn1Hg!b|ZaQ#3m@D&c^h4@mQ~M8`8z5}X(;joLuYUn}&OV;>G(#MI z!nKDP)?B2U0~PO8GXu=nh?<(aQDIt7p4Q7OWtE!mf5XVf*Vi+}3rq=g0fG|A8`#g3 zzRK&eVCBwS5EB#Y1P+0NOF>E$Hi`c9Nw>hbj-8;KHjFd7Oo@g1_QUg`AeqcTAE~OV zD?)Ed1hjOtHZ_?-Kkwk~-iqsZjp>0ZZ(LH;gZIIV3a#lUfK%K7EV;IYO)CFfF%O|# z?7KiK4><^cXe$nYX#c>e=S;8u{M@*{feD^FsW`T`Kv!Vg+K|0rMICx)EB1`nw z5L{H5!bD3*${lkupMFo<57$47OzHpnQXch1R!WL>JBy&mUG@$JL7J(_R)B^v_)F&S zrmJ4Ka27B0^cEy|2M!$I1}mgm;|ZCg?o8CcWl&f=JUm+Yy5iD(D94y1qQNpiUP&P; zDvHZ-_U6rkH@4-Jzfab{kW_%wm$ZoJXvybRC6q-8P54~%uOtCCBLWn9UVgYll_C4R zq8?hb(Qn@xW*P~+p@82Q+p^Wbt>KrPcxx_cyA(?Bqagf5c$L46)#`M2Ye73pqwF;J z70z62Sj0twH!;sG0}U8_fe3O3(sG`KhK7E&mG+oRKUa9ZahRhhK7^?E=xeMpmA5V- zX^I$vPW7)!N%iw_#ym^N3M313)Zkuw9R8VPk&{P5*kLyb|fsGfOkotU#U zH&=kyx}0`BPTQ}i^C@_9C?P&xaiH~{t$+~jNpU&(@N@O8{*pV@ z!A3Q1#~K0vc7BFVqzbEN;J2$@SZr4OxIS~aFl0p1wav1- zV0l=C2u{qYAjI|$)ipGfJga1Pdjf-S02AuPsnC!Ow@~KA{q9=QlYr zA}7T_zuxR1=s@+nw*)&m9IT0SiA`&o1x7+fi^!2E&V)hpM*A$>GAKxp_=y0vD4h-t z+8Sh_R`)vtmMP72U>`sR87Us@M{`R{Sz9q&XZ90mVcfqhm(V+tj$7`4r0JStRmjWY z`zSGZwf}I7kY4W*BOgg_ynJZTwbx-x2)hP|;r<%;;!Bt^E*ZOW_lAZzs|ek{hEvHhegg2ZmkDlk?%6?9%*ZbTyWN$Dn2L=K z5qiIW^JmMfy2uH38MASRU10l#)2sha3&3{%{CWP4qfB&9TOW*`v~DBH^2VBLy)%Ar zCTLy>`%FrY-(m{X+a%+4r{v~@#zIAOzb@?~{p4=G&d;WPPVCmVBfHzK`g-1wJOE}7 zYObB6lF(1rzx-$zoppjqP-)-|`=b>?osG&@;=ArfYT&RnFR?B+JofV6f_g2QX6>Sa zujR2I#%hC^-@k8l+4s97CntNXE#>zJMQil@MZn)5s~=~VWWQ88UL$Z);HkvK78@6L z2Wp4R;S(oMnnTu1B$|!_zmociG5;=#*+nW!p`bConkOFK-rZjKjcKp%w-dO5CC}xH zf`g*HkR#YU$&R|8fSPdawLcljALKqWt^tciuC4%pn9 z*_#5|o~68pxh&f--FJN@xUTNBFG=X=(LFw9T8EjWu@7IW|NMl!QRI?9%+c#7Jr@pu zLKoaEd7NI+*YV5e&%{~*9SdD>z@ZUGH@6~|N1k9|WlWm=UlyMEGeR-=(s$rn`W1iU z)ZoII%(F41*HangSy@e1gYQ9KU4IETQ0-PKB&cI!a{TcI*`mjAh<5J|0GhC{rjemF z7u1(i7F9)H7oaoou)c@(nyV3HE+SLU~4=J1?9VmX1iD5 zB@+1a)Qi)X;FOFJ(q~pN*_wS=v=i;*E1E~oBxudm;&D@z`#Qp&I zY``e^l9rZ!U0;8vX#D4w*UPQ+Y{l_C+ibO+Sq~l#pnKR!Dz4A;YWHW_lf>Pxcz4)w zCu!=mF}(sUW-tnp)>yMu&eKhy&>CxNpaq2O)TP#7Pk*fD%;>0DPe@`mqk;&GWki4T zf7TOJ<&|*n9wAcf$=SC4{mmX?k=L^Ql-D@bY6>tH;}o3#u0F8e_Sbn!J^var0;pHGts$4t;&p7xd7#q|0g3}kZ{N%Yh?n@84SEekE5kh=$#=1A_dtCcBX zaj_}?^1X$k@5|yVG6h=SqVg86(c7G<{(ZREk7<*!st)iWzY=)IM6ztDcDCI=dmy>7 zv9bQ(Xtdwch{8h_fip-X2)Dg?L+G{$VJh}Pd4Yt5vJ=%*)A+ z^Li8{0K~3^bwOU}K9+Rt3==mu$$M%CLEA(HMPRE%U2I10e+Kk|kH;BZ13?FOf`TZG zxnI0B*EiPHWim1{;*L|DT1NeSaMJZI9H-~D0mG#sfdL8uPY987B*+(ni()(BbO70e zl8If)(B z|85gZzE&PHAUx=Q79>0|Msm{J{x=`myv*9z(Gjzf`r?ID*2N=u@fQwf_1HKr|F{He z!u*;>q26Mddx7-@@XrvQkAc=9Jcc8`f1fXZGWjk!5Hn!d2W9nuem3(cNkbG*QJ~{L zhNwDec#OcA?3eWkd+EELGDvC8Mh&`O$;;~`kReg@S76=>LicsZ`f;}s%rQct!?~wcjlVrXH#eHZX_bxx|=PAp7j!Z!C{1@xjK!ylD zVNEU4D>PJ9Rb_N}b1+1ScUR#xXvc8Z2A#j?{zr9*d>-V~+LaKqPUH;GbDm^^xu6~t zJ+Z$Bg@!JYe}n>Iu-1{{q6piezT&N?dPP|qt@{&i1sN!SYuqs6)Z2wXuIxu!`TiY} zH+5;Y>=dT&ll|W*O1J?}`;s#}lFBt7K>8BtDr>8=F#sbQ>+8w<{QL+3c3e`DRYHg* zW`AO^hiJL}^XI)ljHh682MwWOA_LAt!+lHtjG58%($Z;9b)N%%r~%@qrG6BagSUXy zn2Y$)(E89}I{O6i3>H&jT*OazoOrjlex=f3l$@3aAwVIap)|8R$Fa)hzG)@Gs7J>$ zbOnew1%luYVyyi;k^0!R5QJxQ1S?R5J5a%(2v$~AW#DawMMY&B8ev94cNtH%e{MJe zlrpw`9AAVChNwR{*hC5}QhMsc_Z*6ikEg&EXMFX&_4g77lL|=Ci2sB&zP#hr)~0u5 zWu+-*SK@_^&djI}g!qPIK#?Yd7f|)Em3!l=;P{)B9Z&o3zX0SnqyyapZYE>$IspkU zB6-+_taDPW)Nek^HttB)47rQ{wn7~&!0a}@3L}$`XQp+@o1o7VGE#w zdHDB;NDvIwfoSf4Zy-cc?YpTCO8hM35)PvcRPnYl?n5dnDhvONIn3?tV}Npx0^`WC z`w0aSu511K_Y9=rdk<|b8iLK(%D}IKol}9RkL3GE+_smVzzl(rU(j*{9!z{2@yJ;d zUyVQm2V*tj1LNVB+db_t|4o_bIJjE=O1v3DI;1*byY4#0cUnM{u-@_=Ki>V*cL)`6=qNuF z{LaiycsELC&+>_gFrsimW-ykliQ9)0GiuA9`LVd<L z-5dI*zBjHk0teMv`nmVt!6GZ+{LmdA*DAM0$N-~rf7yR28@|}3<9&U;7Naj8IY?y@ zGNr9Ytlt9fGX@kC2=0^hVZ*(rifjgq0>noOr69qn_^vI}y$KE&&EVJ$F4>!UvHu&!N%oN1Hozjm$jKQ6Wwcf) zv)rHHFz=z=qhd2Q=}(Ba*Q_ZE&0hMHCw<0wH1gIR5ys+HUy zOO2NE8PelBFX%_}{`~Q9fxrOUYZk&>wy_rRJ6z%kG6m21*g2>j9Ehhd zB_V2jw7xXmXp0AqMWJba17G#n0yFa-tg%d|JF0CN*@Y9M<(OToRVWJT6()`w#dbOW&2JJI3r%`v+GYg;ZpjUA&#|Z@m5km_4D| z*|%@sYZ3Z~w*dv;2<8kaSxi>PLQ3rWn2ZQw>aXua!`Dc&z|NAe!ug4bUlFe%+O#Pr zX#P3)asKc12YVkI^bf>EAgr2yT`j1@2RAF+3de28^ls=hX)SK_TsCP2{vCk>rN6XJ zbW?_7E3zFE>%dK(h+0cizw3#5e<5!}zmnrD*s`Y!zC9n;3;GS)Ha_S+(*M$zBiUHl zVF>GXJ=Tw>78?aS;E4w{!$YO>t7tEMoP0nZ+s=IlK70I`%dmntC<=g%9No6EPM!pr z77nY6nXWpDp&AR6VyfwPcFfPu2h^W#<_;pF-noND5C+*mXh~qgHzyQnQub+ivD&%a zqY=U{<;=`@czJn8CMO9uxfupwas4Zo2xb|9m7-{?(1&o^*DbSPVhe>H_8K4~2i($Y z$nU2D_!0VQb8S0B0LaT@1$QF5{_{972dipm6qM~Vg+vW-N7y|H`C}^4D<8f33#-C$ z6QP5QK2Br{!79L>RhFvDRc4=FaO8vSGWifOf_}{^q9=CFXM6ODjKU#I6-a2L>mqyU zRuZ*kC-`~a^ZDTmQMPkHs2Ko1iT`lGjDY1U_Tj@Qtkge;>NqgQ5z7c86H^e*$S0Qs zENj}DC9=W>P2>l0GvQ5L)g5UV$6YzMye#oIJq>>s>dg2QaxCpCpn@1S=Z3-6(UDV7 z99yx|BcSa}FrX~klrgH_y0{*#jztJ9+-5=f-a%pE4&HA2A~!dL1$a&tRP9JaPap~kvWVSfg>A!X(crdVDc zp86;6JJ9M!K?6dYD@urgQIj771D1A~Vk8y~%olq%_yJ%NgCHgttyg}&?;f1kgPo_D zz<2;1rx@)K9EYBSSi*3L807wReIYV z&vBF7|8w4)VPRrlhmmvHTO*qE;o1?p?N|flXhp?dopJyDK>JFm{!D4&a)OObG`5S* zrJE1O#>S@IL;UD4$xtsmM6UejZlW8;g5v8bR=lLd}HrEZfxw-Ue)b^8i5UY%IwBNu*hT zl;rRGgV^7*E<<$n(WxnPWoFWsE62VOW}6e2>HD~ErD2o^#>dj}P!9SbS{?@{rzal` z+m{1{mww)SGePn6U=GH>&3~RJE!}^8u~={qX*io9Ix;hJ^dz<5odG{WVwWc4Ne=RG zX6pO*Cfh&==LEi9{!BY&G-_RFSWYZUq%}?ED3xpTr+Z2+2zZ|nTjIM#%R`BQ{KZrn zd@uT?%S8eOj0IGDwZ#2vhHNo7w<(1yhQvkqv-3vK5Det_Paf#5-CApIXc zX#3s1|aMH)muqyYAfPat2Q3x0f2h}Mq8EztzjXxq}NlozBZ5kJ3_M;thKFb;gx zfA{VwVdGZCf)e?0{|Tq8oF_NHQtSZ=@zFCWIoaC9IQwE8NPRK$CfcC~fGP@1{Z5=X zAs&T;?Fo$4>NAd^lCpBw5@=TyYt&igj+&~fI2eWNYr(~NVjlH$m2sYk)UL*m>*a?o z{n+&yA)=d(|L;G_ZV-&*{%|lPz3+hXfH?~`!?Ie$Jk^87h|bx@z)*hJ-q}?{LnF%* z{A>NQ*NLY=-KF$?{d(1b{*tcl+}dLd01z$ei(E)hQ^p#n*bSsJjxf^LCZBQ_ve&RG z|Dtxa70|YatM1dD$G>ja&=b0{#MZ(HHnHS)-%c!G(@CbS$KkCaRrRMi8Z|T1nRVOrkDgf0~#xTYebc(mHr`HD18-hjKksC+W64d*Oy2C z+ep$C?Z98gb3w_W5aVGM2o;rAqP4eh=m4zQiZP`A#+W5`>IVH}^`l3Rv};7^uT{t> z(4ISgej+;+X+X0wr$SOCY+Ka(Uiy01|DzW*I#p>~i~ZhyaPNmJjS|LILr#mV>{6Je z9?x7x+0=XifkJ7YxlIv4_OJS$KOa41Bx)2`=?Rn+L9c1Cm6g)%iQaXjHp~~a zJV7tq?$+mMA7-juD2B<5mghRI1OKEpOe(6N5xdytR#qfEZ;S4ukd>9?Uk|c7BMPOB zP(QV~zLUvS41L86pF6OoN+!S1I^{T{^Z8}so9im8yECdBu_M<1gFwc9V-W1suT!G? zWjy2na8SjdWPYrL=uHWHq(>`E@X!|?(NJHo&#CDW4d2FJKJPR5H(hc%H0Qd^9wpfu zhVj-Kw4V3p`HCNtIW{bM-{PoM=oNWLwYU^`luYiTjt*6Es9lGn2Faj4XwTjQN;|e0 z9Qmc>*5;+VE~?F*WwIyZz?I}%-zBE{TF{3LmWg9Zz&lbah?l((kRZglu zirD}VBZgc1ISi}MQM{gmh~CZ2tju(~*x+|0pTUj3`ooVt-|eL&?FH6x>~e1R{0|Al zq#9xj_&>R#q07}E#{UpL3w7?XlTDSkw`8llSB3CTQSrk6h*Rzgv(mv=!`mWoZ4v7% z6k=AxF9|H`E=Db0DXIIGUZBQav+jRL0MkAQB=M-Z4le?T3TPH(ex)JsrbTt;zhI8Y zDfrX)GieBSarh`m2aSmrpoG%+Ia%{{ZS*LnEzV|WX_=V%%l5ZKnB(OwEh0fGk2;NKy{ONi2>UGBQ;OZr-{)Ueow)c^@0hV% zErtbdJZ_3KSA2UzUF69kh^5YwjG_DcW`x2EO#rq|osc{83Y8K^!C|b0p{c3qHFPCe z`3{!ZB$$kjrt*T-?V*q?;kU*P(+68=;tNn6NA_HYUNz8(- z$Ai)z@9VmS1rHw|1qSzE93Lkqr@Vx~QQsk^kX29TTf5(tKPoORHs!c}{ra2_XQ^EY zMqDDOKZmut_~q8-IzW}R*B7_)jfRs4*9ZV)X&pZv62XX-HxQ3cZLvp%Om-VamXwG< zWK0FFwbsj4oE=d^X`5%v8YoMD3lb&<;NRQ!W5~^(ChF7%M=8yWY@Q@jt;{xmuC`+Z zd@zVID`<0>h?ym|mo=wq=#-s3P5GL+J};tgsR#K_vo7DO70Sw<> zukO8eRN=&dKU(|4!WXzdUEAjXl7o=3Kt0$DDDN4{(7qE+luDV+9Ad&gxBB+)kDM<( z@^tS5m|@z>Te73F(M%axg^Wt37&CzlS#_q9v5Q-2{aRkP|7PK)eIq0O zw2W=sjHe)+%bP9b9`dr-5I7^V=bR$c4D@nbU;8_C4a0!qc8}P>MIm~!BgGLlq82Jr z{zWh3j5F@qWmfU-{$6BpuT?!KZ+%;WIKs8$ZXPbIbX@^!EdfhQOCVXzQ&fch zlz-+hwG^ov1IGwF9wBB*@5B2&4<@J`OW}j}Ms(v{-G#f!L+pu`Z0S))V?WxIW0!Dn zaS6hCMx49NciWokk!pJyBx{fn%e#Jn69%#m9e7Z`(I}tVH8&X6FzoH{3 zA_1j$9UYV9?S#5^-@ZsNX~1l+!Mkx|hKrN){hqwZ@89Jzv^rnn0Ras-+1fCm znzGflfUJnm*VYWAAYsq7%T-2L-DR6*o8cL1NBgHrIt6v5ze}-RrLkLFE zybG0Wu>7a@f7(!mh4%O<0LsJ%U0rJv=&%(AT(tK*gk==W)^AZ9}f3KTm$sQNBWdPomlO;?5xT zuU%Ir!p|*m7rgLho^4C1*FLc6W3krJawZ~U;9##S0kdHiefsmUM%WLBS2X_BeAg#~ zN=uLX{TZdfjIHe+gwraA_Gn_`9%S^w5z_xwz{mO9MIcs#8VeNXC(#*?A#|UcgFr}b&nORHa!l?P?4+@7sTYXK0vOMav4lj@q2w8@kB)bi}^wL0uc-- z)zs4R?9QSbk@W=+6c%GYNV1l0V8lEnZ>OvXp@V?8r^F5(N^COCNPrGTQ-6$LLKVAu z-;8%}-+J*Z3t&xV4}u0(JYV}Q;C$AhS!T%2Jh8%2>ULAuSdq)>vl*< zN%4^-GZvUgr#r<>lWinz-?>w2&A4s#$mQ7F9vd7%1@fKl?(US-)a<^)dD?uLBoLwW zgcJedaAm`I-2M`~B~q?bbS9Nlq!GCx2pBWP3&tF*;^0v7c?Qe20?vi$*4}SFe%wV` z)BEe}u=Nn#smulj?CWkt+v}8065$I6n+enc(Op)OoHft5%c4^jy4#hlqU?JM_UZ~G zDEr<(;Sfh-4Vq8`PE7Rwh=06vh4Q#P`Db-5UA4tbP7RV7IIP||^&BzV1{}gLOwP2? zWN!a*a&sewCJi(UW|D2su-FdxbI^YHxc&p+{4q6}DJhyKUk=@r#k_VF7!-woINzqwMDHo;!@p8rqeIo%ME?d!3?}4_>|0@6#l> zKrdRrVcVlc*WGY=8(UdyrD^&*j%(waN!&Y|91NUYVtZMce?Gsrd*ja&JTBnaszs&! zXOSpqU|@?32dL5&bpw|Qvo@coXxwTvfPjAj_lf)$FjbjYmmOSPA>7YRjT90RB6fXj zObh}w*4_N|?m1A?JuLc*Zy-RY!Jmv`=iz1D6r_=jyn)R}#6cgnl zg5gu`b@{geuoJ)tqO5nK3F5AXMh7T9IdEYmK#6$XhK0-Gr14n{q_NOse*b>`UD|05 zY?kOvkQQMpAl&DKAR)~_%r?XdiROfl*5&LMJoRF!KI@5d&^T5i7N5@}Ho@$@cu{X4 z!8!ulZ+rJpX=y1zh~D_{fWSj}PMxZ0;VNiqp?r}RLKXplwQv$@!AQTSJvLEav^Ca4 z%-Ha7rfnE;6$u3&?2$u%LE^KQP;{ORkBN?+Fc3zAQxr&O0FMqp2pP> zVuP#|B()OpKo$Fs7TjQ?hDt3gGBS%SrNDFk=f~`bDg8P`Eo-MU>P=lSG_=X0dKW#6 z1t20I3{MeD2j~+ZFX=zYe$(i`|NiqJZ+b%cWu)kmk+a_|ITmo;AOi?X7a{oQgrsaO z6;8EGiLlf|Qcmme-cG}ja!L_eDDeKH_%4;3HwA%qde|PT zQ9(Em@larhH>I4m5hVp6iWx$vplL{Fm$=FCJf{yA8|zdk?ukKKGn0!JVtb)<3I!;N zl#6}AcWT|G_+B;Of40+}Da?+xwCFP3ypQ52v$U4f?pIR_CA!{JF{9Fx(Q6 zp`yqCo1!`?Mp?8nE{B0@iJ)}NMVWr!55kpW2I7lQb>@7-C*FcvBWk}}(0(x!apAFO z6FjsB9BWh%pD{WMNU z-0zYAGaL+2sCUW7isAB8>FQ+2|FI8d5q_#46Klm#!w_N!tnK+bzoD&fae4P~vNX?! z4A-67QMrdvi7dOH`!KiYN_5NqXZ-9E?8;q9Vau#FT}s!&52|P?DM#^Zcd0UYN0=+h zKjV4a�wT(n(qLZZ@XHnw|U6uIci@P)PHo5;r6s@t{f$u zQ|7s675ZatE8_X>id{*BDIl< zzXd|+^Cpv{{oOl4{NU0ufq9(RLE(LCuJv5>Nb3cfNU0^M zZ3h(+$v-KH4drcW-{pK=V&H*I5V>J@!Eqq0f~&s1-fNn_9}hsdbN%R3Cl7qZk;A+3Z%Wz(x= zbq-Z3S9F;4Ak+qoRM%YQG){H&=utQ>34t5!&Yi8WL-@nfO&e{R=Rba!wVj3|g(9gV zx6#*Z_wFZpcj$CS-V@J;5|2Cq=ggt~4FNL=eYo}N22Zp|{+bU=HO6q4?nAfB&XniV zSV0+)uqE-^%hPid&ogKR*G`C(6V#f=cqI<7T}&J4b;jD7Zd&&RSp^%DAfnus9UP+a-TT z?>q7Fx{2ki{oC{#MW$idx(7(ZrSG)X$DKaCe2=F~?K#la!2C+A=Q2jeF3CpM0NB#H zM1TLF=zF~`8CgE~(o%z7lLIpyW*D)PA<0k9+%mzdpTF`x=1pPlbH84oa%h*IM1Q|L z0^8^gk^|?7!y)XsbF}6nQ_c6HSnpG0d2s#K3LK$)^IB6Tl#UVw?D$mjyStD0$EXgP z|B1JvR6E1eQ@_t~&k|D)C7FZV!@J>cOZ5xXUK=k{81Z~oJ?QD7MCb76J8$%Lv(U92 zH=YQYMhon4Jg|Kw*8E5;>E?(VF zxTai(=pk&4ieezRCuDJqff;AEt9YO#L_LIIzjFifnIzX^QiH@8Ymt~sr<+dh1Lg!p zH{Sem2;?dqVZ^hSIE7AE8J(xH`H*(ncBS>c+kQ+6SN}%D#IQ1{U3(jUujaqQL6h%d zrBY9rD%#(?c{4UCDGZQJJs35oss~;v&qey$@7rdnP(DmFx9pdOtRzjn~rWsi1 zPJ+3IHS3QLB!|@~m|MtAq{vvBm2La7;p!I`~L0QkD@}Ud`t}uTI=Py*C|8<%j$bQH`bQh zHLQ>sqUzv1+8Zx=-O_T#?)c5Lt42msY|YG92u}&IY9X%i5j>)@L z`J$pC1lC@J3E8O&UR8wXl~71xIqdcvKqW(F(!CC8NC$9=#8bF*mRo-<{;U;}-$g&&#>I z55H%gl!aPd$?=RX|trv?@-4i2vo7k>r?SJ1GG7R3Vo zy?Pw3E-c-I@NMdAjZ|%29iXs4+%#r*c8yhE5ho$F1zn1X*A(ur|5FfAQw_Ys{H|O(4uox_H733qL){ zLC(5ApHF#Xw~o5dNcsZL?wW0+)!V)jUJ&bzMsh{lF3LbBJ6i(X<%nd7Ik@7fdHu(O_7k0Rm2x&PUh;6mP+jyHwLD?m;zO^;9s1n)Q z^U{I(ctpoO|B1ks-rhtnZT4yOpZRD_YItA$twajuOA+h;0AXf_tun+8Vd)2 zyna}Si|ZWMV|n`f`#WRZ+(g@wOldisinR{A$lR{F_DJ&8Guez-to@BGE!40oDB@F( zOH6Dz`pU3S1&o|1o-*=f>pk=5wzjsB`I+bD`Z+<8kx^t2@qPW8&aIBjiYZU}M%o`o zAu=UMGxV6u7w;Xa43v3y5zqp{uj}8uIhR{k@@c!^TOA|iu*z)%6_p{$5NYy2FNvq9 z_(P0wI@FE}3rYH~CBWuTvx%qd)LEvPo9rQUoHjjg^IkLbdEY(7wOb(;ug+G{;+({# zw2o>lPL=Mn`>_mI4_I_ZgolqhN+%{rCyIiDCnuSQg{U3!&o}?+QaVb1rBWe8u(rWM zCKzZQQUWZNQt)hEN|Hms^${T_dD17#2Oc~d=Sx~zdF=~g%UT2-uPw3mD09Sdkngp` zH#=h;RnEqpl4Y(7r200Y&wVRehV6i2jv zz5Inm+{2A94E23FQJK>l6>=ni?#z)}+%fmk2^jV6T>{i5%nF9At9N-aBisRtL-8l?Ne` zL5ZVwS$x+=5!DH!VJ0-_1U8AAmJqjgQFWljrDIhpEkmCzz8UPWFK)s5!nHtbQ7X-6XyMJt&yvB+> zwTU0#suvBPm-;GJJQ%$-bMi0dBb+PW{qgu+W?v)`P}hmUM{j&f#16gxtqyke6M=WX z1TliuQr6mxl0UFp`-5PSeyl72D}$0JN00KxK6pS6Obqu}g3aUaz0PnnpyEcYocdk5 zhUmF@T-Z$9NQ4g=SDkWiLe+F?>D+4xb8C~_;(bPl$6*&XuI;QE0@4CEL%DWZ;w+eY4yBO~sGj=(3j&=Jq?p%ox zETfXd3l2xSNXKu)q$E@H6>HXfo&de)RI<&Z!C;}4>?1>2=tcEz8&S-HuJkY-TuU$BvW@9NB_p2O{%gxfo~!7^(~Om;b~jT`xfi8Z4fL~_ z3PG3}h(N>Xe;?Sr%WoeK#sbcfEi{tD!xF*Z)h|k)>HO2~Z{FAh?6d<`Nl#S|eAC_r zM+k@JfbPaKYr2P*?O|r+*!f7tlMwG|E0*Nu9uhKnsSz_X##zBM{vdi(b7 zWZe5~Ua=s;2Z&zkB_*Vc{X__FHLKJW$!~;s-Rk|GHP+H?{^H-SaqTzdJlAm1iR$PZ ziJLqx9QG$4_8+yJp1+(znQ~Z6=bHu5rQY?jSkAGzXUt2knl4SM(^C&cQphrTnq}q5 z@`qE1UK(WF({zW8*NcWz>33dz+w$`|vD?||qz7`;SpPtw1we{|7jQi>G+SSga19_V zG=C2PZAOOJ4Se}>(J~BM8!?k$HXfZGB(cYM`*xfkZefHp^KTwhibOxK$8&)63 z=va&%@g&aqHH^!c-GeY)p~412@kBvdIr?{ug{==WuSsCB*98-is0c0GdPW;A|`RXJ1Nc>`E z{_yFx&A}JJGI@pTZQ%1xG$ev$gv5*R;Xt7Ts6yL#25}gsP$jX9zaaOy$3ZjuKgt+M zJBql9CAYqwL`dRJBINck6OkzhCz&7T1mq4Gqa$xCd819$T^lI{(@?qbQkB``5#uiU#?1vG)68+-G@s z(kV%+c^&S{i(a${ki}oYa=Y!@+v{v0lRcf7$q7rGAGZJ#9bxjoMeEZ(^n#MUQLEt} zcvcr=9O7fkT-C|fMdCms5aM|}sdwA?`^&VK@^xi0RUvhR_mvD{DHFj;uHukR=*CV? zvoJH)!w~pb`9GLqiBSK$MYXr4j<({1n{IfGZD85>1uQCkH)KXvb|t6Q&8Oh; z8&5XY%016Xh@@r#%zT^@0AFf1=);7;x72&M}unRX7IDnpPD;e%Yejl4}pcJ{jf zr_*Tlp+W~d8=IVbMEa3na4CxRH`xlEAf zge$DlF{%=cRHlcbYK3}Zh!R98_y6G0e0NWswF9dx;aa923*c;oU(x#Z$=jQ?^)A7m zxV+P{7oRZN_daLucspYNb~)bV${>|GkBcs${{{EFe9MR~0?s-}g7qzNruN39HSegV ze#7ArVy`MQ5i6|}=PezhabR?B5jV%7xI3-~w(V)#d-LFnxb0t`HEb4(BVEx|CT$sc z+9P9kC^CZB=Wll%>d)|@y!~@aZB?X;Er!^Mp+sZ<%*_P4x}?0k8NWCGj-Kk&3GZld z5eOu1+^%RDmzw%?_4D)qq*ks)Adn;hEGRIv5eY{qVOPsOg`j<-0l}e+^@hyW))ov} zlc4rdg|K>=mvB@=rFhCX)?85ANM81@x8ul5!{aKh(3jXV1>@PEz6&oJX~{|yJy|U; zB|EsewV>O%{Jz{f6avQtA?*?VibKJR_)H=<15hLoK5F3R*z_|Y)g%53E-g@$j>SK? zBk?yjZm-p>y6W6ZVBSarK@-h_oe)t(dMpjS#i`G=1X(f>;w$a=jj~SazPm98^H5!b z_AQfQ;#q}``FIMX88TZ4=Z3(gCzScRcYy_D0MaI$p|gzy(|T_pmz-H7828P7VfOZE zclcz|;zaoP6c5ptlUq>SsymMc+M3kBoK5DB)?VMyu~Sk~Qe5LQe>~=N8X$AI!vEoc zS2R39XG?i@hZE+Y{kN|J=(lbwPDo%z<#B+14D;!nl?lD)6-{8#=Y;?-5c?4nJInnG ztE;VW;1FOPk<`j0kzEfMZE6#-0E}#Gs#Vtg?BAVP~3R#^r0=ce#ywr{<3quT_9$! zU=99EUsZvGA8d!J(%u$$B(3l_ZGW^~aw%RJL{8yZouRA#{FKKLL{S`jmoeryimArk z*0TSn1z4L$1_wi0T#J?o>zetkaMQ3O7wT|jwa@FyE#4t=iuA8s(TPz(L@L;*wEGcC zymxRNiyzUA`g5H26367IG%$-zK;!OBWPrTX2)eLzXMGnROT>|$*LdBLE6gl83l<9Wo(Fqpkv5hq2;*HlIP{b$x;ZDpP#dL`u%6Mx@ig`XVu^r+csBLF5ekp zb=uzE#+=2wQ-b>}SB~UnYi)$5#_@MI*vF2y>?|Ci-lilS;_{B4)q%t3noQ~haVBbY z7zo=6Xh&s!x-GR#pVv95G*l;Dru^Z8xi3%$6J)1&kVo|MNj$EsoA=BAN7Q?OW8Jsm z<2N!gA~HgSRLIUOvZ6&vvJ%ROD6_{(*_2h;iHy>;BBNx6kWmUDDVxeHLj2Fq`}_Zn z-*LR}@gDC}Pu=eC_j7%&>%7jfBLg~RV%HfC_X~=&L~iR=Y^odJRq!tJ;vT?G(&%vs z!`CalwN`OQ;!O=Xy8XL#Y^1M&8C&~sEz$J;IEdc~+5pt_TFa}PJvjH`2h;<_|W(8a0#+v=!w^696YA(m)+&dE|AWw21R z6=X`*)k*b7Iq~-U$i7s<7?%}bjKm*VS#}W1HmfK#K_C%1gyh}ucN;1JNPVQP0kt%8|sb^?3v2=ZJA3e_BKwoV(3me;Hq zRaI5>-b#a;o~~iNwb&o=(l{A#-Z=WYLaNxS*-l#UfYpeiv1fVv%`L{Ip`l>DRsT$^ zLr=zh!^!1!Rq!;&=|F%ZAN*k07JIjiVky_UsjXBri=*T<+_`kxdE`mF+`WVZyV;eJ zE%oJ-A-q2+E#+9}8)%HWjS8S$K+o5%{QxXhM5eb6yhtzzh#M{J+z{49FE}X3O)@yS z#7)vY2X%&&_U_HZvdE{T=Y``**Bb72mGklpMzQsB;EFRYaz@ltnr&`c^O0Sz5f-)Gkw1Q6W+q5Vfc>E19o4RW$KB zy~LR(1tZTQSX|*bpp*H%3cQEINBMoDW!iqBT=QJ{uP3FT&JwpbAwJ@P!MlSll`2i` zS~MD;@VavVGBP3leRS$6*Mq|x)S+i1M>@K?xB;YjK_U$_$jaz2|5fAuEJJ?ijbB9v zTtW9E5S$+UcI(U&ab2kj|C3J|$SsAkK{isa7uY{c1q(?@#T+zthZ{w;`+jb;nhod^ z$Jb!i!F6D5-nnivQ)IW}l4?RNfBTpg&keZ~j}3YDdOV_4?$kCt$z^9_Lv(68xi>)) zHBOy3Z$brQCFvC?triKs`uw3V?5{937dk?~mN7%8R>;Q>6-ap4PxI#^5A_CY}tY z*!-Tw(ETyCHmOND0+48jJD#NNYz0&~nWGI24NOf>_e0f9)?;d`i`$6|int0wlMep{ zSQ7J~$l{8mePPxz_x&FnWlq2f7_xi-%Bky5igQf{KPCM?R%KX;5wnK($myB*nKwl% zFCai6R*t0Cg5;lU;X6CIV3ZCw6gn)Z?(^_5g8^E=dfWnd)<_e{z_TW}o2HhQjAN&G+PNuo$t*sFpt@{_ zf_H#v6ervvMS7R{m%2Jy&~*u`A#W8JKB{#%iiIHj)xk0QwE5Kz_Vq+t$iMHu$c24f z9PMnFID&h@DDfzZL+SNo73$h50v1!0^g4DJur44uNBHH z(S#15$tP<8r;8VfDGd6f2|w?XV)4WjbsFt?1}ONERG%^)<{L;2P&%g`QryX4G-qY?98wJ zXa9Y_TCNCB;;g^KzLGqcZ-2Og#|&$YkIzg`>U$S0a|^B`D?dEZ`V`A|zlZXlKPOI| zM8wUx+bA7FjU8VQMK1*srw)h8p1)i7dWgX2^r^AUAYjn>a{O#32iws|x3tEHvT1rn zQ~YF2OgS|tw)a>iDayXb))SnBLd6a=Dz8>k}I(uvDAgJZ7aB3JB82r%yQ}lcv8$4hnqbN{< z8Llryy}S!s`}Q6^bf^k&?)bTQ%%T9TAJ(clGXjl1fXe;*Qr`l5vMwE1kU^)Rkf2al z(`8)Nj{W-1>o&l+x#HZNbW!uFG27>#s)mz%Z3a&0f9q1c(ZyiH&GEsh14YL19+iOF^|}xW7CP+4c!gE zu0Q}4ua7#^ek>fkWG<-fXT=jL`K~Q>pK-&UiqcXZjKv2r8et-*L-TN_Seec_^sMg4 zC#-m&$E!!zDS*d&Y1q%ns9$qOJtIa@QVie|M2ug6cv*jHif0R`_PZ>3Ro}dUW0nzz zwic}zvAPRd5IyQk>lr=y>1kr4wzoC9$xQ0*9*4CqeXdQmfcQKtq=y(zbk6(Yg3S83 z1E2U2<`1X`4~^R5azcI0#2K~y{<=9KLtK<8{>TpEp^J;a>RU|+u_u-~2j(p+p1KaG zKVx_MUwJyGUj3at{&n@1fb;+C$zkG#f>?RI*Lc9vAH5N~y-@mF44hGEDaZnBqa_Lx zmb9n(B5%R#^%|Y*g%SM$(1W7-72zRf_}HM%iWkkq5DLBxkmC6gREu%FNtBiOyLjD` zp4|f=&^|Ya*D1}~)>fNx6GIlC?k**zZksa{0q|R3v8Xlb^Yf)*@$a9#U70G7R^YTA z#yhLqPt*hla*QVRvS6d0#?8;Ki<$_aO6E>Ku&c$EE}Fy39Jd{>?$MpGx6ms2_<4DizV~&XJh82GfnFU` z^C3*qk=bR?SX%J*SO@-D>+^;6D7$8GjP=s5hpFdJo(8{SyyDfXSD)M3K7USDEE(I) zDtJe^8o8e~K15{y<@_l3$-xPfw=sDX{~_$gcM<1y2p~Gg*YMouOF*{|YU|fuLo$T0 zq-1p00!tKCeSP4EXevs0PL71&n|U7avNd9+dP|Ovmj0)AmRCaN$qV zix)3iWiIvL;^3C+!ql7mD~4bBb|OCJR#lQYF_s$g1@+5u-ZZHO=fvI&Pfph77aBtO z%Nq{LCcd9{-z;n+*m2j%X75dgY}MpiIYF&t&qIn{w*)>4Z25L_U1Cqco<9X}iG8kcR0TeuwSkHEhrV%Cls z1Kdu^A#gt50=sTRsq^l|3wa$ykV+jXVrNDc6v6w{XmCTRA-bg5FP>j-ff&0{N~)#M z-P3ayI*Dr+ygXS_mntG+3T9W_IXh)2k=|s zkt7Un#k^L51y=McheyCMioL+ZNmhc7kFVeS?ArwO@bSNk(D(-Svpg|;tO*wTk+rUc zXscFFQOY@-A*`4l#ct?2mg!f4F>m~9Wo7m3s_~4DIf{a)jcoFJmocogpQX2)atP-> z2#YTO!*N+HJfLx`gT3pPQ>I*?$AuA<+^_c0wtFyVVnuHx?_F841#>z1h1MJYCe^_k zz=CokAD`oFA4Z)Sl^@I*P$XkrJ0$8i36{>DCh@qhcimvWeOO<)e|HhZ~Y3Q{nnzkO{l5U{jh}+y*?cgS8XcYv{gvCt5L7vHECj0UUSj)cixe662 z-6&VF3dATFi_!$%@39tg47EBWa^POcZJ7)c*;edooGA)oSD6Dq0ndzx(>bFNc1Hn&jKn` zbU%^kuD*i_B{jFqhi44GBSX+d95tUARGlY%jl-?q8|0`z^dmr zqwz+~c4SBKUV>yK95P#?8AHnhm=D^WgBUh|*rab~oL9&|qfb_*;8;yVwhD4O*b`c? z@&^t?^l79?Rp$^=f|9WRH=6xmHVY+N{QJLeh~npI{;`6;2$w2vnh1t=aHC-fnGW%+ zl+3!zf(Rx zifWPMwST{jmwe&edh86}1kLbzOmkZmAIY5EB1u987s|{{AAlxC1@Crh_3i34|GL2x z&5+s-K@*p--8sewKj{-9^|A@M7)v@(x0s} zJ$6?q07b1DqtL?H;;a9B*fd2_lmF{Q;3Uy*kN+hOEd594zuc1-qT!{|(E7(J-7@?x zIs<;vdFn}`;2v7!RTqLKRg_nOkpxA55tNL}%m@1ZoBa7xVk}jA+kDg~bpN)0S~D+3 zZj$XPl>S3?FEv$SF?IN|7Tl|_EfApGp5b>h`L;u}TFz~2*bJMuNC2x?7X5{D>rS!` zCebYhuCEfPr_cFDchF=|!NN+SEWr7#w%oZV)RbI7KDXp@!zn9lZO$S4je{xz9;x z7xD9lC>h?%%pjYSyfi{|Ac_)2*79RGzE(&CFac!;D@;NaBIg2K529xY?7VJsW)qY7 zLwdn;PqM2Xyb+hW_2C+|$&KeI_{4S0$04!l!`XVCfBh&lGia&cfX`&14(7f#TsUFN z1+TAaA@ayy*aXl$5Ull}DgW%TuVU%+!&AcM0gQ2~x*<0b zq2d(K4pyh;2v$3lid&%(!iTB#z8D54?Hj!j|*BBha~+dZk697Phq>jz4c6w{wj8SvrT8i zR|!3IkK8?qD$Cf)$@h$w zHXOgV|Dv5JOYQBe`gaNrzuI5a>jiQa%ZJN=dd7macI@0ap}K%B4du0Cj`=qqF0j+5 z`F`v>^5C{{0{+O2n(wmgDe9Q*8{fSnnLziynFG%&svv`W+hq@r`^z}WHZa;R*M9+$ zMgQC$x&62YZW!xWw>iUQbG{Vf5UDA22wkEvVAp-gGcS|PyJw%+P*i)CL3jk6D_R>J9v%-C;^n0|Aatv>be9LS^rnf2 zUo7UMsCs_ybLxhdIh*GDs_3s+l@Gk&MpJYp~YkpixEuHdJpY8)|vM)n%~(^r{|j=8150oZCYQHxruqHm_^rD_PTeX zSFOgJ%4!egCXfmC`Ilf92FLs&?tW`N&3U{>2fgtv5xH=$k2K4@R)VMH-^t@MiU2Dffo+mU~n zgNzW!}BHhGMtk;)3D$ zI9($ITH_&F2V&+1m5_y5k5Iw?*1d4Q--K3IMT6+vYhZ+fR)ck`3gP*9_eW!|Rs|<@ ztu@rVSJ5A2cek#mknazQU&MmD!2Kz8mS4q7|7H?B_cQ%N9v*U>jHbwVX`O?&X}m!7 zaU&aRxQ&Nx!SQSxOuZ-tp#Nc|1Y~?r z>g@gPc<83K2vPRJb;`n5R7@-oW+Nnvh9iNj7$8h>SEhw{kDukC`#~n+3MQlH z3V6uX^xLTigt53I529bnGhrDB`HK~}hIoI7Fc~&C9`QAq3+UA8S98bYlaUjbI4?vlPAT+rgFm1MczU1_6eTM>bO* ziU;04hpqq@mF=H>OvVGF==;-cxrMCCVA2<)>4u0y58~+mKWbP)Wu+Q1!Nm8UNn!M= zrOMFtQ>yjwleHRP-L)ulOev^gF{)2z{VLax3_T3Nvfs0kL}c=<_#Vpe=RNq*!6k@! z%Yg(x&nN2n7V*K$!rZwxzlmB1%E@iQG`Lr@8m(F2Xe=BVg%G*Bilsp)YAvy<-J8(} zV7e9%!E_zBCAnaez?wM`^BH@0z6ZAl37`vKxs4u@=?;@fd8`4Zbk^CK$R>fejj5Jk z!Rq4f&JmYumZK1HuCBH=sLLWs5SC`*&c;BlgRC>l2-u0@X}@3hdQUR-@-I63p3}5q zRa>Nrwl|1PPX*Skwm{w<2qgGRe;3MwD}-lVV!7x2k9sPPt@(@ zHav_Q2Wsl-LPB@Bs4Y_3S*6hh0(<1sdx$cIw8X5&<<~!PuRmDU)S9xS$M%buc;nds z=EVIFv~^GYVOwYCygAKW7Rd#+h2dUy&_Sbqv2NM>aja}4Ztx<_!eGZ;X-ACPO)W{W zu_wjSs-Zsa(E&TK=`{cMkyyVCgeW5#S9vMU&PkR;>ST@M@Z;Y9u%`FosKNn$>5I~5 z&o5huW@NGte-9^u<3!SsD4;DF53d;seLvP5_z&nG;D0*ELeKL0(> zt=_EyL8~TQnIl!7xf(yZwFmo+hBL2#6iGAF;G-5H?e1zmALD5cH@6xnxW?Ad=Oe-h zkO4d|xxz%;M77D}-pjOLfz^u7WQkmakI=2~{d_;^;DJC{3)dJPwW}(h4qAyyQCgCm zM44ZlE{;J5VnDOYa|5SrMGV53y85vtr(@=^`fqEQyXy2pVKGj;l0v?;LKk6LOo^Kh z=8HDL7z&a?f+ctkwtmIjiY{NL1USIAssI{_|Av*7;93^z-WG04I%NlU)Y;2{*$L^z3E3WY)=N0Enx(KBcz3~>pey@5Z(pgijr7d z#(zh1&dK2n)0d{EWR`)G`Ej%dl@wWy_S4`5X`zGtaxKZOhhDIN&{dW*N|;DuA>i|^7ND|`a7ri}Z3H!WlHo^|MNL-rHgBP+JyT~R zM10$xnpd+)I_K-hJL`->aMUi*i&q!eGGQ)FNozL{M_VxAMynQ>< zdZ>#YJ7J*1RrU4tR$mouz4C?kwi>QM*#lon}`|!_RhTU z5%7}uDv{j|V}O^H@Jcp#Sb`VvrKJ(IIp^Z}!2dbqHYslyu>59jL{*!wluOo9be5MQ zw>(v+ZQ=!}Qyy~=8wQZq#4RiMiL4oj13W}-KoI=;Y;BL!!U%74X}#(nE!y^Q`SsN) z?EGwj_}xVCh5>>5O4Nf;Mfd7|CJx~2;PSXI%PYAhR3`7VAT_=1gZyTeEOz$J4GdBZ zy>z(;17tGz{6JwP`F+Ik6gA;2ln#5pO=go!RXk1V_HYKCxhh8xIxyaoRT_yDmXk9a zO@Yz{xJ!J^y>0Y zMX;yl#@I{I$L!6RAVhWS{2$jyh1}RY@k%ZImCGByJlrpuXi;3T)mHIa+B8)@x4~!O zR}|34!1IwMa&m~{3BKV)%uexj$>mXqB{e$1kM~_8cRvRV%{o!Hiz@>3*co_Pr-O>U zi1*?>M3t}OM8&bA2}XJ7h>0WXK3C<8fzAws6XspTcYK7_6n?`<+5685t`e~HBpbv; z%d3x1Rwig#2H!z$AGUKOWeo;2D==8z*=!{W+xZqQ$xR>D;MtD0jMzi*E4ffG{nX-( zVAN#5KgTjT8gEw?CQ19AB2f}5mgfikR*Phq0!RR-rD6_B>zM=4LOBS{w7pA)b z3BeR_y?UYaMO{5V&`Sy8!`W>md~#c+0gtDtSIvf?WY7HTeMJ9E+;TLmU!a>Ke>|*L zK+%t0e6>wMo%5aD9jh&60k4L3j69aiRIrYz*OmWh%da0_5WsoBOWP1T!9Jlj*8mj_ zh4(x^`LcNT+x7>nNKKui0|vu)U6}q>@Ad+lM)qn$Dsyl(&XG?N9UY2+5@A!VS+72j za@cP$cQAvL)o}h$0T5l4o@l!uhHDq!spL5(Kq$$M~hAGwVFw6Mmr?F7d>8_e37a)QZBI3 zCMBl|wP6iGRup@cYOuAl=Gaa8pY~)=7mI0Nk1GVG0oihNn98irxct`d^OcUaGuu`r zhNagTv269%F0Y30q6)wb4CjMjvt{+8y8zxC>{tFlZuDr>022HA29Mv*eRhX$0)X6b zXsG&KHNyptiyWOf?o&LHNlHjrc3JzS$?O{7AfkEwz+xd$wQnzVWB^o=6>-SP=h>|r zB<@i&LmjkikMfIUUGa2%v-cl9?1-7cBILu(pLpsdlm|0AJ)X=4pr0_~;)D-uNWV;- z$rdE}lB_RsMYP^iivdTMXv5!xZ&Y$0VLo&JY}xP@etvZZ4RAM*`a(RKZ0zhN=8uM+ z_1fA3z)xFUodRem3Y$D&;JWSf4d~%XR0N>g0gUyC<_N$x87_E)EJ)!UEW}uaOA&)^ z1eWsF162X}1qI){ZN8Se29>lIfV`M06Cgi=05GISM2B+wdV6P_dG#L%E+S?{_SH|% z|4D|i96wyc0}aKri4EL|4>vW4UU8>tc!;{tEda*d19yekucO#e!+FhxnNP_@0OO(P zr#M_F_)NqYjYLe9Vn6lz4{$4d$P9}$qRGN*{2od`q9%sJ8!1xX2M3`piNVmQ>)vx{-*?J0!dQ814{+Gs;J8}<*>@BXU(*P(CK+o40EU*(o5>RgfNN9T zEd*+LM?pgYvW550;8%}C*{?$(iPb|Wgqkx=NIs;&$-xfjI=A0{z$&|YdOobSoVq&t zVH^oFRe)&Eha+oL3rnxDHA3UDu@NSa6U&QX&&Xg+r3RZkhWv>X&MSu0|?SpU@sPIn|x1 zZ0@QsB|{KU?BD_(Ec4+{sl~x#0Stzyu_Nu}jhSfjO$yG@Vx18J17CJ5Fe(m&kaWMp6IE zXB=_Z0=ed)Zz04~hXXdWtEpc5B#v@EQr~gtc%MWC*}QRGscx`;4l8qIK1z6I;# z6t2X%_dICf?TwOyy<(Ca-?fL~b?IP*A+{8W5Fxrxz>tq`ZaGb_smmEp8tT!Abx62v-y@LNP-H*a(k(2)fY_khaLA zdU`!zASJu(vpZUxh)S29HcG% zZT~sL>Cpbe{q@8N9SgG=Ax11JU}P4Fm#2TMhOVRy>l}m%1#jJrp9PIMNUwo7X_&8R z!2^nDRC(^ObJwmExnGE5f~WIbzp28dKH_>znm1@5)G?hOw`to{>KFEVgOOPL-k-tE z$xe@?Tqh3#DSo7Ga)ZA3nxmA`g@@MfPMSV2h`-TuKm@DYU@Uwx>4v;m6FQv7XlMkI z9@A1jir6vYd+siA-sU8r!7;{obvScf|Az17W zLTxhETOx(KeV6^O6#(PXuyF;CWV^8Nn@3f44l~%LO$=Zlu*Dgpi2f^p4GC7CN@7VZA7s=I(%za zY@B1Te1WU)6vRptyo&BP;P6|ub?z9-DAs|Myd2ldk}gPk?g>Zz#M!x=8ZBs{JM5? z5L+~1xx*{3Mts9L>v~T2H2OsMj~~q~AzQ?j@*JLR;M`w@bAZ+;{zj3fH?!>-t6`0H z36@7esXM)>5DZ-uZcd(6mq5cwjzxZ1nbf-thi%lE>9%P9O4@NL^73tg6=8>nd%_nB zbUs9{vLqJOdb!eI`zExFaRnT+-RxoX18Q9_UHrGm3B_ynPnDKl`6~;pe+2Hf1hIFk zuoDjaKW6PB-G2`-kRt~$Itvh4l8X0pQ#k?bKSR-~;s*5AjIfQut2T)0O~yRz-0M5I ztdM*n4FeXEnI#Y`ASYL3*u$GZ@Ia(I-X7xj7G3xi!|P1R|tLMS13 zr#+(gEQI_XvNeK>V(-Anl`MK3_J8`9wi|^Q@j+ZipZ?cgDk`15R+_x!_t^g`6M2 z3y-gcNg2qJ&D4$9M zz96aalrZ~Dq#4mNUD+&q+g1A*L1r}>&L};GTtQ>I#OW?9Zf_R6;}IXHx0P3j=c-q6 z692sp=K8WeE4cCIYmW=FC;xnn4t4Bc|dV}yRUzIa*Y%Rx_UHSceGF4SEcj#)t6kd_#RFgO)bqi z))zNSf@U$3d4>p-D@T1cxzh>)k8XX+VI;C!QPFtUfpQQm$fQVRucDwQp#$0pS)ov* z!CFeKIL;6NI#&95TX9SAcjMQ@(U$^gi2&odNsrl|H;bwz^Ty+aJ6LfJz;5$@eJY1u z>Rv*bQwh3u=uo&oh1Gu>p$w<{|2YAu>oXIdc4JiZFa8QD&>YtiTC@nq-CWu!| z*EIsdPp9?xg@xd6?;ouWDJWZoDx0+Ed6wYnoYG%QXdV^_p059aD`AdH5g&?4lR>^J zf!l#pXQY-DwL{}zbQ<{EP**g3POk2Z=}Cj7V;ENEUIC9 zzi--(pP8}7R4Z~J=?TxSOa9JvE#DfH1UW($6U^Uu+qlg#0N{tCxYJpgPW4Y{!ZcKx zLt!dPGUzD-+Bf33e(Y<+eY4KJwGg^@B$QBeD;Lae;9EjBwgD(As-uE(8yPDwjzLF# zD}5|rRvjY>=9)vQ-ljjkR&K+t2@I7$oNs8mkmVi>=ejL1gE;+yVA(=RpSNcc?HO%9 zdt5|-C(0Decy~dP`&TD7PyKHoOHM}#(g_9N!wVpiaHU}T6@xzK^)0rmlBI%TgjJm( zO%_sL*0AiSy?z4`irDIZ$Biu3V@N1Jf`V-bVBQ9SfUJ^Y@&VQetj+s8y&u%*AMw#TTt|F zyR(ewRx_7-HnApD^&J=i~GLh!@MM)y0cB3#M4Pf-iLr2SsO&)_&=pp#6fHdPo2N zGdH+iGJrn6de0I#oP9%!c3?}xWpDt9KK615CqXYzhugwC)Y5&OJSJtx_*sAi!yysB z6NhakQlL+}8U@TS$1FaY8xj~Lq`ax-8a$q_Xc(W|XU=nBm$+`rZ}Y8ZAliZ#aL4Kv zjA7h~m7;V-+dI0K3-b?53L>xso7a!8T@jU47r~?{ zlH2Y2YOh@VRqBEBw#%v>IA8=wk~y(63Kpa`3hb-L(kz z=fjnV{=}b0dy@UG+O@3|5^vEzMf%QHo>JMm$$UJqRZNi7=0PGK*TnGBjP%-Py_Uw%^Sz4d*^S zu`@Z;_I8HRomZB7T8_vR%E`Mn_*uJdH(YmXOPJrt%4*V-YU)1s^CKIWv%hY;H(J)V zXU{_G=U>WG%A=}N%ia+;BE8o8`T3EYK+00x6}-!Y)BiL{` z%KD+@=0NL8o9@Zv3}lWlytxm;&)4IGz^5}2gGyw&zB&ch699jYzP~_d3_w;$UwEKO z6D&LPZn(jj0pU*sp9EIhzEWf+flee0D|jMwGPqN2i|9QPM{OOuS~a(gdWj_(+*r7M z`}X7_R*XdBKo2gd-+HmHw4f)j7i5wTG*O`QkY%UY0S?Ur5=v?HK89RyBF0@}QgKE3 z%9ShYs>Qq#WsX+2-1mQBFseMEOLUJPStjAuX|!%IXdgo?2phTJm8FbYRDb~dSi4X+SI`6 zx_1P{hspTQKOikw`5d0swXwNhw*VVjGH0V?-}{pV+ew%;Y(|@w_@=J4H3U1xfQX2Q zy0vL(Lle*)z8>0G{egC7urfdYrkU3UekJ{nwnmK4z8#i7m~6vPt1z>$peRbioO7L} zm#~69-bguR!wXwoY7*i`c`Yji+PeLZIY%CKDegtj9SVOi^Sw)8YL8L7dTez0`QsUS z3i4B=9ftwv-|I-X-@JJ<*SIvQJ`s5T&v;qse^U?$v*{ntAcGPhGZ6|9Fam-)ndD30 zq>kMgE*njYRaxLM>&G=cs`I?(PJwmzamq|t8tqX(Tcxhv&!5*TjXh|;XcB=r+6rcq znO*2O#@r$I$~-cFRVWl$thxFI6+ILFeDn0C=M05I2Ur_YGp6V(zdQ3E+-sikCTzBt zVcG$68og9)7pb66xUVpf~Qj7c8JxgS|qO;xM`h_>B zg%jg#f>8sp(?p07z996WWY@8OX>2?B4KRRJjrYC6J3hW9l7@U0dxPuFUJt3zq4w6yh!8>c~5`!4V@1vb^+J2?Zm( zKGz;zzt9>55&0JumWu;HtWMACVdlyNw`KAVp?BG-qN<8Mk6`V9zz%1+t|-o8bWc4z z@x!;T)G2E~cA^w20l;%i zFXot+vBL)x+kye54g3wD9d3kuN78=3myc|@(kLvTpogc)?FDw4;zl^2h|56~gmW&f&v>fgY?G zB?okh4L5X|B^agB5^ey4^Qdgc$+eKL_~FV-M{Z&2Jp| zOsK*YL{Fkt4c{+(qxT9a>`TeUNtCsZ&Ft~-NUDfhib2m|ZQJ^Q9Gi}gV9+^;VNAQd z9DzFT-o5+CX+1OZ{oL18YB$oG2C!5EB*W0=+{~Z`hPxPeIM?Vcuwls_Oe}BjJWAVJGA6#;r zPo;^YdET+jr9ifd{Y}rCyUfHD^jDEnCGC8Z?|%IR<>T3e)Hb~n{N0S@vnEZihP(RRTuMW({Mad~uNkU5+xe*BbA3~(gfVxPZA&^$HLu$i zUc+`-v*xU}N@J`b0V@!o1Y;n+U3@`WAO#TuBz6wp(040cS(L_W5{d<&0DJ)ebP>b` zINx|iNQSNRDXty_V^je9v?4} z{R=aKx`LTWY=K)If+VbDnpKo36oxXi; z^VF^;9}m2UU;dBf$+pngy;B>yP?Z5opBeCJl?q*xK$nsQe^ttS=Y~+OlfbGG zD~b^A$oq9Sz)pY%tAtPH1dt05xlD^TIRSCQ;Ci4k<#aH3^rl5u=VxX#3=G%-8Hp!+ zWhZZdwiQ^2oCkaqLIC(`obfg}y6r5{Wqt!nk;(5FN_gFvBh4LFjYX}v9~+#h@qd`N zHNlFZo)al{hoa^P~&0p7Qy{QU8|<(C;0#dLD0Mk=|m2@iTB;KZ~%Yo&Ug3 zXyR&xMbazXi9YJByL;f0-;xlq?V7>pOM)Zsl} zEkA^!JEDF+35?31Ff6ZEv7q`1U+-_^2jeMT;&=+ZCCd|T+%gyhpC39n zhh8nod`_k1@8P-*v)qU4kEhxoT+<_?Cau0};PbjkO(T7MfyO9tnD*e~*B_O7y$&8< zxDV1Xmk`JkOHIMQlyrmxV(8Mr>gL<`@6<4LuhyA=z0hBa+BjCTj02AQ5vjsrIMKxE zFcNYrNj8e#rUk&t-_c?bn;ZP$Hbv8`h!Fw-b|bg~pq-q9B*E)j2si!-x&E*gdij3z z@2ppT#0UaW$(%(#7Rlj&1NGV@95R##@r9Cn!Yi28AQ;TvD5J&~8B{W1AQm4O6`u4d z9SbPHcw}~k@`-{=Q0}=Wge4^W7M#@0+JC-)v;v+U@KV$c$}`-QnD6id5HHYk*48sU zj(KqXIGC^W`L%C}z{K8Z*5m!4=?&oZ$3huQpB9m^>o8Km+KQw`5iA8{o`<%GDp$n* zk2tivOHn-jArJ@85d-A|d(}5sQEK(Zf4S>9)()?xH+OrB%6z8z7ElJvV!*^A?g!QG zZK^n4^gtM?0XS!Nst`sdd6fW4!>v67Q(Y1q{O{Lgo8@5G*fi|AiKfl=k-i8?F~tid zsG?#%Z>q^a-Y*O=OdlZ2=xQlePA|DDd*vR6oxneK@m3h~sF~<1EPw#ZoxVq;|JsJY zvB@q7JTdUHGQrs=Jbe6kJ1#z#h@#nwJMVw#^^R)*o523WXJKRG~j9BgK%F~8{(t}IT$dZIw_7*LjF<<tIR$DfktWSgeYIp0c#2*cUczCpe2_FR^~X+@_mD0eF44%@1)0pSrLcM@ zS|7Di-DW~NgdKV$m@yqQKSoCE?t2XOzR|xlck$e#0Z9=NX|qC*4cFP>s{fTak*z?2IDFE%YfVjAB`Ws9fqEMEr0>x&AJhcJp z>2)5vaRlnH;lPqR9E^F;0;=p=W--~MTvUtFp}`92zW*SneRkCX2daB@x6GAoSEeiR ze1$|r-oEugt|b$=BX(WlKh6rgiY^D(4)wn1z<{ov9_Qr(#V~|^6Bp1-?%l`HzeWK9 z=^wj*99AsQ*0D6r@N}BynguauIxmo4`Chn^@!8bo`_`>lGNXaNo-Zj#anKLwm2ES; zIVg4i+y3`$^f-6*unJ*4c+jDSWxVN6?cTAocJT#A^T|srtE1h$Rooh!E2Wq%$nsok^QfCXm8+uPl{PXGH#NCInc*DK~dVjT2DNKP)UB8&L> z`u)LTYTlG0ynA=^P~q_KunjcOfunV~@GQQKfCz=Jpe}t!=OW93iaQI1Z7gBxeZ@q5 zpyMT$-hOuAGII5v$J%)QFS4}XpI?+=XJb>h@cKr(RE`&}4L)9P&z+_S05lYqkZ2KM ztu0pcWC7>ZX>-dr?DOxVKjWGMt7PZi)MIi{$mv?@0}dH(^mGS$t34_Gq$wyi@5~hY zy$CF5N6F>Ghp&IK-Q#o*}`C`r8Vcuf1OUr6@N$g3jd}|FrE5oed_1F zY{&-!koRk^XX^O^eNQEKJaNN?amxFP$8Zzp zlDUh^G{+gm9LvhI>@sk&V%t!#Hd1UDxeq9~ynZq~t1Ut8j}zB$uB>wT*FI|h(&{vd zK;e)?qg@@-r~g74uP{))Gwz^L2N>sYYG2`VxKG6p&kAreTAu*pSQTnhUEtRn#q%$D z!aS0Xh(~IF9DtSyH(13)!?BQqG6XVBk!iBYn8)4^Fo>h}hu=*&-0f~*FP?(?H>^0! z;IXh&`84%sV7`Chk#-$>qHjvkM7BDyvVUb->x4I9%8HHaq-`Sd-R4DN;MQCBn2H9C zBC0KwI@X`i;cW7|g!TUX7C2G-dEA%>dLse}mECL}G#hRiUb57Vm+%7pCsMLgXzW{U zSY}&(7YdIHGWSRVJN2Y$e`*C?nB+FBTo~4XQ1!OisE2?Df=Tbr zi$9juV}#|c_Lp7Qy%B<9mIp$yXX>~ewt2X_lkOLuwG4o9Fp}O?_2oj1 z57Ei020VZ9jP28^m*TvVE@{_Ry|3V3A&Y6)j_Vs4>4@rrW>(<*bw6*?E{G;XOrjv$ z`*lYJgst5#zb&FeekQq3a2*1tH7wGux=JKA7l6nQAM=w}J7J1c9eNq>rJT=8QSbp6 z0Mj49|Amw|0+HkzKH|e~(2wUxdS3oW94L#2udU8)TOuP%WRIB>^PvZfl=+_=e0)sc zOY%czIjcW=>p$-cDWIhh$06)!0}+WwqPWnpd4~8-B)@v&>^r%m`Wp!+w9UMf_v~p6}QtiF5#CHhn{Mgcw73koy0$@B^RNxQJ=3fr^UH*^v`em+)LaJq({=r?s?3r( z>z|5!yTH5dOmj$BNfv1XK1(C@YI$nRw%#NByA_H{D^K$(_X; zew>Y#=+rYHJYKATcw}9a!gPnK{%AbiaNBp_!2%iVXS`7wkI1(l8KG*uL2wq zRNtF(i+eQO=k8U#&WFdhJssRhjD7*D<3)OU+YxJ52Ey6OF>-wKz=9LwV0-P;@NkAk zIRW5cNy_d!kyQ#gTlo?C6Y+uE7G6}CS44L2CXxh<;{{L*tY9Au0WJ;6jR#6cLgQiJ zK+>hAKN(w|I_-TyKd8w+mB!@d4lNi>b)?^g&ghAp+MoY(noov3xkD+Gq%SVVKxOeM z^HcgAtLvE=&z?nsY!LLaf4U1~HSG@TFTH4_bTM`6jpTf~a2V?azy9`+5zGYhX^v|I$u-g>q5Xqy1%g9i_Um6VdQ zwQ4oa3!zJvV5 zo;W-S6S>!bFTW2DYu|f)ZLOkg=W~YQt!`y~!au{~d~in#B{q-m$rjnmeD-k;OYbfL zfhyroB>5t0XdHT{1NS5(C3ix-x&Qo=7K!-dN48m?ZC1$BT{W19zk65Qz82;kjpIgi z#Z7Iz-exCGXedSR5k0~X%r*-jZ^l_zbMCagpsgKZwVH~t zbId*Tx8Y;MA@rXn-4RxQr_ax|Z>D|gOS^ef{frC@4MlhF-VUr|zCw^TShv={*jN;1)%@WoTSl0 z`=uvUITT z*HIu(c(#d_+P5WjAHG5KD$if?CrASBArb6gVx4g_H8C+b3`f} zs{9H_^qgr+Ku!Y`x$CGzOb+E7ynLWg;SD4wRv&mP@MTgTeTMpluJXqIrv{J77rvBw zIV|T`_sf>2H1M#@xQD&K8QU%g$60vmTBv5V#O3vVYPbaKI--`1MJrbMx30!C66>!)q4m*m$ z6b0SIhbeR^ig%jd5TOXZ_7kQpbPL~=a*xd3y*P+={q(?%hE_l+Mr>ZS{3gjH5{&Rw zTr8a;9bTA$bz2*5SL@PJV-1$4Kydr4Sp1QQI95oICI4L+ZQYXPc0J?C+{Ruzur)Zn zwrtK->-SqY!@KyVwzhVtyw)1IeAK&LYRmk-zq$UA(;b2z45}RK~B9U#Bp6+a=j%ut1mIcfrTy(Sk}` z?&X^y?01DWhrhR|R{1GS6Vt4s_G+J$L<= zJljo~_wz=>g5?AOT8Nu8*kGJs1!|%<&9!)a15e^Cz8e5+)aV$(!3X#btu-PdU*7V( zq0FW!ocI?Q56Hin8sfOkS;2w0a|t~v&`2^Zf+lXEgmu?C(yPQMKN zI518#)oIU&mk-;NBGU!Ft0$*^{gS*s_ZG4V%)}(+>BjeW2b&WbZMc;0PJVnGgt~v! zZSsjEG%iFbjldSq2OakP<;wrC?Gg`Xx8O7}Dw z2yPD&?*B;?Iw(l!KZ3v*!1Tq&#%3k6&8S)xxiSIIAB)ZQ8f5X2QdZs!dx#no zH5tTyXDL+p{1!vzIj!6}|NbanV0(mW4<-V3H8N0f_Uv5Yd3xrR0$4pnD?_3-;5w6e zMCrd41HkesKJyIZ!J<2UT;oCV$}Akr6Myu_89yX$&a25Lzx&~%$Bem11A;z4 zs#stV)e=mNw}PJ(h-e@ynmVyH==AN2{<^ukZk#@iXmY?9>j1-QLx4|kaTv7w+ znZMHGZ?V1)N-Z)>6aSYT?mEWwZ9-9aeRgH9+b?*(+jZ#$vjr@d$GQFo z*orELp2_GEX-y3OHmn&j{qc&JYe*cD?TkH8>h@BDwwJGzbhcW_b@2;63i>U)vE(MJvy!#+0>43ch2`+*Xcl0& zos)6#@!HGjS#P=ktEQ=2?VlFeKX9Q}JHof=pUXOKU9#eZs(t9f0eDwuN6Dst=8*7kD90fBG7vr%1Cg7yqt00g`C3GcIT9(qOfKk`fQL{Yt>E|0stYSazoNrtZ0cl>^ zaU%`-ya6;a<3~-Qx3;*5B5Z*ZPE?+>RJ#(Y+Qc0abBcOAL$1FR-<2jeE(*R5OX&TF z^1VI4ci-WFO8PIy3>-UV8K~}_!8exV^-Gibg@5Uuuu2rw(o{rM{ipVn%LQT!{AP#n zOqyO_uwL}ScL{;Qq2BNJea#PkU&6rqq|@Uo=(=aF33u<_t#Yd%$=N(K^ z#58Fre%M+$>Kn!XdziV&$zOs+>_;Ulwp^)E5#f6EV&cME3NuRveR2J(f4lc7sCb&M zJ+M3`)Ru6xN@0NOXT`cvVgIeaq@$SpsboeH`Rw(Ej=eDn(vzd#VVI$G*FlfU?dg#F zO6XkQiS{$HEP(+V?23Ng{+j8z{h$c1$o{wGIqxnH+>@yfr)P>RZHo-80$O+>TrHKm zVW_;}8&@bD7I8VoSwkb_U2K5gP8ld1F46#`>k$B%sQiGtqj7)~WJ12dM~*t!C~}

HTFbB=Nm-zds`Y1o z)OmdnQij8KWip3)&sV&3POiV05#?!Zb=Yly6g8487F^eXpx_`(36&rTa%8&Xb;nS` z2k=JYrrGflp2yawLi``F@#+SwdP6Lb1f$T57k>KY=4QeL!U=>TU&K^xhtQ)%rctW7 zphdV&vE$P=?Zk_(MrCL(U7DWMxMl(&h> z%n*6`JMyOipKtidB=!A>o1b^fumhfx1WVQWG&Q1zp2@3?J^m;)nYK z#Hs4H3LJlvBTWM7QKh)=K9F!$WDp35nevuyj|)txaf}Jc+WwUO%cr zhM7*A<>h7CH9txE-BX+7n#9`ro8mxGh*bc?sUGbvpO|8lospEN12}2U5wi$%59R3L zA=*>%f?4jCTQHv&$m!j3`KHuqY-mtJcqoii!qi(;d8aq0tzg@W&(jt%oHc zL?97rWnM<^EIt3L1(@S7{K;j3!;Wf)QexH@Eaej)cP5yjz$^a~LYfivwvRGD%rix= z&`KMqs+)R!{l<-gqkB_b6GUo-PJ#%O?Mo9W{o8g1(ag6-%D|$Ytjb1W>Ajtl3AR9u z12eS+D-%J{0`s@KHCT@{<>k;9mht)Z5klk|NoLP=N>&s7v)=4ef zcN^|!JH30{BK;5DhuW1%e6g20<76+Wc70q=+knF&8!?a_&N7i3cnA=+=S~*0JCi)^ z&PoXQrCbIyLH4RPt59!yIddl@r1I7}fy6JPBovj+9v`?(oADLsEQy((Ae2~xfsY!> z1hQ5;KUw~?5r(ob3<+x*y?EmHou~y^4qla_#L|F)M8eppUD!W?6*kq%FO_UPf2#(| znm?~|`xbw@Ctb8wEO=5%?Bl@l{o!_hcD_Qs-*K0qiosNy1#FOMO`O?E0CULDmUL7l*IH{HOUvB+ndFoVg&M> znOj3mcS}<6=*8KDjpCC<|IQHe7;y3wg*^QVjGiOuNd)-#Pq=-|Niv^mIP)wktVHWoou6A1p)DQ%5 z3vqG+DT?O|{>x{|`XS9it6VqplxV1sxboW$#L+&HjON*QIXt<=xX3q-FlK;QPaZ|UydeesyJ$>VeCc7rqbfJ^ZwaVCO7 zUtjiQM$;m4JJvg7&*8fTkCigUXM ztJup^e3`Y^U~@cshf9tTl1hyue(;f-7K)CYWqO)D$S+Ph+P(DrsR-vm$rP!M9k1PJN}sIPHVQ^L!- z%M1F^7==rZKe}z&|9}AR&=`;w9suvKlG&VkgTRU!&EmRB^a(&~MpdK@>S2Zz)&Op9 zZW8SWF6nky0qmY;P~sAC5Y{6?%tOPb>rw`22^3f`cqrqmE8e-|0ZMA@_5yAD{SyQ_ zig!s$9@{oX80Ds^7~{LQL^$hpD`{wG67l;!*=!$}rI*_G^QYbA$*~gIsk@WvyiI3H z+-6fl6W$$?5WQ+NGnXE6R^Y1&fB%U)jJB)xTh6fZ@IK)LB9g0V-S_L44$P4?2kk?Z zN;Y;2-2L9Yhv8_?wR5>H4{kQMQeW?X@b1{};J24AygITH+r`UXwjEz-Okrqoz*SWS zB?cz9W{zsBh0Pmso`R2c!4z=Ik;U-Duulxljxd^CE~MR-_{lrwQZ+L0A_%XA;_! z238NhdgWR1+*zS1-SlZ;`2KyT>rz}&?Pbm-eE8;Iq4xBI@JRQEslIqsRCF!Z^R7RT zxv<9b8~^dVwIh4`5`tWm(qG)uk$WKz-C~IGabi=zq^;4A%@hQR(VyL-wMz0Tp$rc*)EOK>a09-avL5K{JPC}*1BrAIkRD4mQEp^yDH% zIhU4&QaV*DhSvB3+jG`Y@rZWA)bhmT{@*K7H_UzH+;H2TwaE zx|FY)g!wXz z3OSV}rmgSm*vY3m*gQJZb{#NxCF~0zGp!3RdhFO%ry$bS1BhV#;Co9F9(upOoc-S` zPGluO7JL`y8E3(72)t-Y-&mMQ@GoJkMg<4DfbOq+I7tPuJr58XqK<&})wayl)s^(& zk%0_3s5ihfk`Ku~5eGChOTAWG=8IcE_igF7L7!TbDCuk-l)2`QPHfb&GEzSy@>7519Pg)FG3>a*A=RC{c;aYul6O ze4@(P_eU~iE^X)A)R=@_AR+nvIruk5hzJVxLNBy=m>V%}l z%6PuZMKeiVD&aaV{J?`JS?j+ec6<+(ztZ2WoVw4YDQ3WI^kr@}*%i!`yO^9k*izt{ zSn*yo1lxE&U^b!&F!lc1dL*SO$MP__Sx64@ty?cH8@(q?G3F{H0>MRTInh^vWC=1$ zWMgUtS^O0D9zLG;KrurQn70A<2jQWRZW;o1RtYJ%a@j1Gxf7%69+%V^^p&ODkBAVj zrMhzbVz9!}g*vvz2Fub`{ItUfaV|Q1U9g=k^f#JfyTx%Eol`#bW_dj6PY00wm&zS00D)vvOmV?B^=a zoZvDEX)vVXb3hr#cRZKwgHfl+9Rwl(@Lk3B=-yjeesX^T{(Zdc?3|;U$kG#hTonJK zCULq724yyA5rIHy&Rj=beU;`c5vDUU=i7E(xTpj`Q#3m*SKZ1|o4sE~mL8cWuL5JH z^5A+PYc5_e2k9~hF3!kFO8m{i%b91u_Up!{2lv_R1Zju%Se(?;Lo1o>>=S;?Kh_3@(s?61n|3W~!-7U;^<6mY`0K*Lj|ueIoZS?YX;Y@4k9u|G%mWtElNW zUUM%6W5eU(jvSnJ?08l_^)An^EyFKmVFC}y#N6EGg8Co)*2gfb65|$d64l{lI4V9_ zEI>N3YoAR{?h@)~^I}-}Z%ifE4!R&y_uD`o-q(m){aD|~px@tMz(jW(H7u|>^XF3g zmD5`-5Qm6F&4cv^6o3*}>}%!@4i1(=>J_91?|<#ax}MxCp?ilS<+bhnCzD$Gda9YW z!$U7#x*Jv3rrEH-WkHgP{(P6_RSpOkIKbfBc{cvZW7ok2DVr;f{)>{LCK?=3KM)K!6*nn;wfZizk$;|IHrdE6J%>JwP}NY^Ly);DlFkaRbq%q84AvZr~$ zj|7s@er3^K*0DQ=YZI2@#IHYCTgnT!anon2&bFK_RK-z885usN-GAfJ=@c3PFRrQG zH&V+6-kyDFL)-eY?^9h}B@#xVBlpFj1%oLa$@B(Dk`3Jy+2j!9C;)H|A{+--`}bV` zUISctYCs2lj=%7zB1G0q$_HbNrmxvoICB?hw2WRpzj?ve)JROdVr*zg;~-o+9lwZ> zj;ii%Ext;=Y^@Rfj_t?>-C(wZ(NeHlS7;y^ZaqMQmc@Go zF*Gxb1=uOJrl5@+>7BwSe9J(d35$#0fEWZQ5AoVVW1#x9$qaE{9CaVsEFpox38Z3V zv;}-Hu;c%ccE~zr6eXK=WkYX5nF+S&;kv7S?ON$Q{r2Mrm#uPi#4&Kvyu1|M!+(jT z?vRe362f6?y=rE&VB6XR43JnC+0~2>>!wvx0d7s0W#~c`Se*D9^*xq%d=&T zjEB!M=2(`(;^Vg#2r)A-Nd4UZE6LK0Hp#rAd2LKQJrn@{D?ahZFpyb-TT*QyziN>% zvg(g3EnF$t?Q(j2MP|RptX@dF+*!y;QPPDCUF@* zg4m2(fk)d779pvMk_d)y^X3vmS$($IavX|8$CY{W`$GU10$-yc4ql(Xd%W<{Z^b=` z=J4CTj0B(eIP;0WeMub)2hrN@(2myBlW9rQXF><-h8o-J8Mv>F8+ozyod5D8ssc7= z*s#dZLF^V$9f-d;f5A%p)6IXch7`U#@WnxgP6iZoHzDp@`|$=Gz_inE%)PQVGL`zD zarg`s&Xeei#IB_jgcSW35uRB0G;+I6+_w0mG%3^cwNj*V)*!w0e05$&g@4B$DK$hO zt<3kcfj}jpp<&iJ$`+7E-ru-p2}KVW9m$&kbD4PJz1yLoDK1EFJiTp+Y{57P^^SeT zMbBWh)+^DR;Yt|xeh!{~WR!3W>$y%d?i%ZGi#d|w4=xiK4no2S{5l`6&h}jeED~jW z*N{4_e`Ilm&1Lg&_}aibm9Gl*L%hwi!p(KIdUI8WhkdE>eH!r8N`MLI#8V37_{)G0?ktD*S+s`J>jv(jCdqkHh^c1$QYWjALgK zOQAqgQbAnGl>23I0o0A1ohQQ|6o7jah6@3|BR$%tvh^-Z5cC%!3q0w_AATU3QiVgF z3O6Iv-_PlfVG9Fh^&TW<2+rqzSOO2hp}r1{tpMB2f%dkne}hXHL^DP)yOgdMbjLZ= zf_%=#o_WM*+7@C3C{`%J3k3-&3bt@{njQZuJ4`>~F|@F3uc=vc^5jdKb**WAN=V%# z*Es+@t!Uz^lfYjs=_DAomvcG{^x$8$#mGL-@fKu<(eIa@wb~I!0(R@e6Z_Kzw_roo zVp{v?*v>vGIeNreQ!6}F^w3LuVTJTd{7vZ&zmdE$BE*lbu?)F(j2N_zKF`YOqco2k ziEyZ@a}*j!t2DT7hCf^B)TF9f) zZxAp7?H{mfz5DoaE!=nrT*l{6Mc4%0k*daGR~vwUe*V`$>4KpIAxmBD3_}9xyaQhl zjt+|V-z__4TQ_ApfTNtr+fgT>-4=>%`;-TC^OoeH?75F}J#X9(YjBsT;5#b2RQtuB zWgEPjW;u6rN->idoD!*zzJC+C7?5p}BMR5{dKB@7Y6zqWnk|Llza?R{9g6W|`vLY; zABD1r3M$1diW3^ z<<$7=7}SB%CY})fPiD5~LK#3bPlj^Qg-@*k=wLPe8<$p%C2q$@!^&%7yV-<>>tl-Mpzeh15PK`Z-DM)0aEMTyb^;?=MbE>!O%V8A(r?vQ37picWDB&f!nj2^)q*Z0*KU2PZX=eq~I1z*XFl zurg|RUg;SU*HjKpyIzD{0ddl1E@wBgv-=|Ijl>$fLGfk~z6r*RoP}IDaDo8V4}rn7 z{RXSH^ZbOlD4!fx=!kK%ljKnd@SP@%J^An@$khpq;6AJy{r+8L)C5io#94|u?cH?7 zCueH8_Xp!6MGqO1hi9F*x47SNxgq<4_UhqL)058{+fN@)ca5`3SW(oHEUCq9u>jqvNd}WvB;>WWy{qjS$o(=E1RRZMt zMinzcpPMlv`6{5VhsO!!A{Y#20C?lH{usX)b zU*y8oK@(qq;h7M5Fg{L9O}*QCsnmR6-xv73xHNYtDe*uuQiYXk^hXiSN&FIr0IuBG z82zl=`Jr!hKEA43At6t_U;qEy@#aUr#MIxtDklc46jQP@MCNe`V78(CX9qU`RgLD6 zJZxe!Z+ovzA5D4k@-C`Dq#nP%Ji0wQ9FhulVv;Xe*F1U|&a|+mXXo+IoLAWTOXwcx z>Gw~af)T}ZX5jOW1!to{Rm?Pqs!$)31{VEP`Dme2$^$C-_46=L9-U&uB_3Zs-VY5ay{bUYfSve#7vWC0x^GzDwhHpfxT!zIZ|73qB%vmM2z6=tM0b zzjk4t!XA8;>kUV8q*||%Xa(rUh@n;U4+%xUN4=3IA(sPFvwz9$!RqNuAwfa>_EFCj zN&L6o<0-%m(ML_z8SM%s-E8?21AADBB)_lm2K)9C4q)<+JH1*n;-R}YY{Ny8>WB3> z{QB@%wWyp&hz#ZYCMpLd_l311n>>GcL3@5Ms_(0gDTebB88G)79%p~;M zHP`Udz`ytozIIh=#NitQuOMb&4f=_UJ1ZEjE1VzRo5}=MixP1#M&*J?cLV_ZF; zY1Kfv>&cU}H~HWuATF}M^%P%dD7G3YZG9uwR_CiEB_=5u1inh&7>De)0sbvwuTht( zHtNGX{1!JsY-Cm@K*(0pc!sI?9p;KjH1e0mzOfbb7CV#5&-<2_lCh(N@_ zMQUHTmAZdD%te1fp2<&(@k0(}75*u`GRdj9b}Dc3UDtdYLc23l^uWrzC9y)yEaC|m zam9d)82{iAxA7h&o$EF-H9pi&7TOC!H*HEdCVAxh_dhDB?&75R9qqk-M^aP~ooL&r z5cOQa>?yV9($~M`A2(_4RNqGF;a!y{_l)i4lewZ|VoZR1U)T&Y6w00~qhjwn!9;YML6lTjNwCMeA5p= z2=x}}sbCF`vAL5ubJ9F5k7wnyt^{Kb)?d#lS_<^?l@MQJi48^v5uB0hv3hBMSq69L zPcl|8bx_rXTe%h@?xdj7pAtoI7 zX4S`z>w$10>RRW|3n6b=J2Mtm7_i_spk`M|(IW+LGjE47cHu!js&L`|bMx;B3qV>4 zBAq871g!k_?U8YaJ}v16UgrKk4E@7hXabdZR?S!>a`G98#*99jdg=$>ccIlfF-Zt? zXt!<*>!*pghYB8~`3Y@q$lM^!VGwtOl0afAxf6Eb4RhdRDwKNMjDqEk;Qk^7R3Qyp zAca!P=haVQOBL<7Rflc$2}hc5&tgU74mq~R4Q=1Poi*dPX3U5R7tua(h;vrDEz?-& zJ~`^C)YtL9fAQ&brtuEVFM7S-&rYpT8jmpN8^65;DH(xD`a9$KE`_EVq!asyJgLiT>a(Csz+@Iud(yzqTnzH4N7oCj3X)F<)A;EV zq6xX)PB!wVf&uM)aM+rCqyfs=HH}#+hABL3mBQ1{eiFrV#XqxoQ`AoQ`V{1@Ysh>= z&q5uezv;@ADKHyDiBH2j5kL{v`n0xB%!>0XBU>1m?A09#2*`V zDnW+Q^!FD3=Hd>M&!Sc+qYlkzPxifdDZ1VLXG`k&c0QR{9jV6>O;$!OsVKgQe5?r! znd;d_4h~pkRGn&=N0y)i{x(vAjJGh}Qde#p{S!I-hk_a#;P;fb8zW)CzHY7}s|VbT z8eS^sh{PZLJjLo(ykX9UEEf#wa^e}Tls+{ zBJ*lzc@d_tXY}1JUSH_H83goiE4u2-N&|x$G8taz#>edY^`qTTG}cLC;!KZ{AjjAR zJ(4|$R|i6YI#T97O{ zd01wspe9t%z7+~_l}PK82x8dK5=FnO`;+<;(hmG*eE0c!cHsqPh5Bgn#8+Y+K`RL% z6A>8zJ#^cG^LH1@jB zpMzkx22!Fq&c-Es>&=Gi8|r2~v}-M;IVHE@K{rQ+Ebf>LG+9H3F6)Lt>=qDsle?rT=n(&=aZ zg4j^La3OU-Mr&=iAf5fN3N)0wGuu8JXWz^OXoRSUJ5{CV>i*W3Cu7Wv?~+3}03oZo zZ?Ai&*V?8pGiT=}>>=qBLB%y_&XQU$@q{bH}H23YVP<#ol7r>wOq zO09HqeR0GqufMZJMKG}_ykO%w3VX=~h@9Tx%Y~{UTreH64#d8p;cT=O+joW^g z?63cta7{&Sk&|}Fr<8w7Sh^!+=OiGgz@|-C?F^+OH9rkVC;DxXZmr*sTA`W+s;8!q z-*f-IKTXw6I&ngB-e0dvxJq`=(^?>lJDjo5gj_?A_N<|l=v}zk9-+*TZ@mN2FgO}f zYySxEos97JIsTLqpB@_%6}sq@vw^A~%)JenxOvtE|LG|}KXw=?PeeLf1>{%cMy`Lf ze>0H8#;rw)<9;Uv_M2Jr`LI(${+xRkTfNF{I!T8N#i*n3*@-dc)y z^!?sd{Xm(!bB5{q>CsiQ;r=9GC7rI7^2evke{!>iDVj}Dv(upt2>r=+1c8aIbv znriSK98LJ;r6CCY2To}o9;R+aOPGKSnF35r69+`lJ0k1&)Z}{M9 z1+;}ui1`8zmV}>+w16Wy9hyv$H40`%MxCH1NPIFRq_;{*0?>IH)f&kF;Dn4IqWsxw$w`OE>a**E`#WI+-a?bqoAe(Pz0EL%e z*@!Rrc;JI$A#M|r(G7KgLr-b!EDy{~6-$L}#;UlH5lrx8VQFC@cK!joLvO6?h4rL4 z5|&gXk5iLEbRy3FdTpayDtAJ3-{|OV9N$|9hoSKTF8u?K)dyfTg0#13W>nVVq7o22 z?ja_tpim_0s+o6DqE#*;>h-_#py4)4X8r08stHjj6oSU!OzAWA$5=2xn8 zvs6-@J8!V(MJnLgc;d=;un-3?(ZuCJIaRgLP}z;UH;AQ0 z>=_)W{(T`9eM??b0$uLsr$&J>d`?@PbevO!WXYd|eOJZK>HMqoj2yD|KNa~DSen7K zS$pb9ddxA9NztvDcu~r!-7FbE>5!6QIJ7*&tN*r)!~Zqyj``oS0)kdb8bQxCa?`t~ z{$6*gdJ8p|SE65DkCecxm%D#i$>=Qh@8kIP`o`+~m7D3^tZa25y6FZIFyJ=*eDnUK z=s&P(21Zr!NY@VDcGea67spZ;R9!hv-&J+vVjzU+!vOLgo@aO{=@1uAz%Fu1|I+eU zd;kZbQT=g7z_fQopX*Y8X>@*gG$2kX6Cx%8M_orlDPS@dNIt-vs$lXZm9luDiksxP&E1Uz8HIo;^6u&n+ zJ{uR#*9;xGY@Uuedlr25J49{)-6xb0lr?Lvz_&_ZY z6o3Gw;CtE+QE#(ubqwmI)UAOM2xr+|{8`WJ<5YnRsS}UCi(IC(jr+V8W$_C3Ay6Oj z5!#Gzl3-6{PyzA(?07=hswDyj?MvF`UN=O3*Rpo6nW{+Y+q>N{I3BhI_Ixn&Bpifv>hza&mF z!Kn_Q5_z?K*b~DWF!8=e%0X~inkX)7YEnLke;-_9(lA_;eHmxKFs&jXIGr&mH5VcQ z;zm%p`?Zwe8gO|}kxq$B8%0rWV-3zA6&UX!0jp*j7=!zAUwC=8+Ram{7+#J6(b5rq~0UEm$njRv-TR;Tw{-V&H&j(#C~(DNwz z1sGubplat+zq@DDvI0(qppUWYju1FFD6rd)c_2*;Xa;HMjAe zuNIy*7yQ1P+V^gpGzy&mt|9cMt}Nh0dvs&ACys_U8uYX#P6faNTRpSrd}&-V(i1Pj z_Ja(a4U*^H+`$sGXaD}EsN%($x4uP!bRJ?asf6sLhHDUC8RdO|QfvPLl^Aut4>j#B zGtQkFcR2m9%D3!ci95M;;cWx5mqB=JoDqD<^79GrN}9VUqp4?Z_)o_QKh}8x{g88a zJzHpi#=Jk<+}_^qke&LL1O}3BL|D%gD859DXCbxAw|5nL^Tm5vx^~8TJB3o4f25#$1KE~h+13CY-K-oPh_281kJp7KnzHC}@`S!JE5>0CY^qHP3 zCn;22<|%pg>Xrsy3Q}6`;`|FK(PuJhJ5o@%>BkjnU%d8aaO6;!*TmhS9%Vo@(nDdY zP>D06E~^*-{f{V@C{a;Sx&I4^Han)JN^d!!OwabiETd0m=YCm|o(x0{s8DdN9VwBL zv)6DR-P7oDQeU4o+M0GygF(D5E;9b5&9S7~$=$(zSN0dl4ksvjtcO2Ec3~MOJA$c% zNQss%(?!c;HmuQBQDQe^GF%et2%5V={R)oqtQDkahXK~f^G>LXH%JdO&8mi(UZiI2 z66Er@naONk^>%gnQr@66-6z+fA3s#5VjeuWi4*I7Xb~qF2(!h-3|WmI@8LWX({`%D z;o%>=M|SJECvnQZ@|yck`S#DC1M|{B$aC@AThEWB6$h8%br&uimV!PeMwm9WS!qdT z%VYmg)_KwM7aY0!T3TE6rA{~i8qVTt{;l~Sv$XV~!m**@;rRTg&ORtbWyMOjV^0_= zs|fpDy3JL*F1T=)!ZYnyfxS+rbS)ak{+?e7mfLD~wZE-NNLDTim&@q;}DEE-*F1>F`Qtp4$kefd;Y$< ztkmwoE=t1Og%G8yF6&Otv$JfZqxCvEN`<~b3Ze@EO+iA@QXBp>H#dT_%P{Yc3_aFJ zL~~`Fea!*z`W+hQCjf(zNI?SVqj#E6b{!oZ+ji`r#WSsLV#3|yG0a1*3M?a}T^^-a z#!taethvg*lCNC7XzZ=@F7I)WwN}vW=MR+$9xIh}tuXPU*=tM&SF(U#tRGv1KfBcxL zk!yxEFhy@|s73(JW7YIl<5LV;ZszpLPel0?-NT*sEG;fhP1!nFUtop4fSQiEPu*}c zbZcFl;%fU9HU^kTRzqV>v--5_ke!iZ_p3EHm6B6Zmd)cU@Qtja9mnj2Fx>j) zgluu`j8`C*fH|UeCHfJfB0|RBUR%gj?@XQ+P}g<5&2-=31|CnNEBJH#aMORsCZia# ztHj%9adc-$a6UM3!%toI%%EVmPo1~2(qxQr0b@Va89{ZJaYR|?Ke-LHXC!DK{ZDt% zTw7QKgAl@(rl|CTNtytT;v&wG$pE$k%7}>BRg<}+k+BDd9ZqtHH2ctNx-r>9`U8|) z07_3v0=3d#fR|zx_NM)ZH*MUgY0yYqT##>| z$>rXuVPEq{@7<$7%U*oB(xcG z$dvdTvTyzH%9%GjRwCJzBujVwK@tGwmMeLWG$ksw&aARBnx5sMmrFmaw36X2s^k|o zEBfBYl67V%L-N~p93@pum(4zk23G) zg)SHcH!cr+-0;|c4rwy-UOq_pLOR^>H}(a__Z3|px(-d%Abvcw2Gy?{NZSnt=k*gn zXSgv8DyDa%D6rzPQM5YXwU0rr_}X#CAs=q%+tJJWU^ml|y=&r?Egpi{6w+MaJ~gm5 zEj>M{eQfPnB!)77KO`nDE~uhs3veJ?ysqv6ykM;rJMR!Zr@P0pW6t_@>&$0Yz`NhG z9S5ls{V{2KrIey$5jIdm2R7{~E!W#XLAxztZ4cD0uFSn9iX_vlod%AV6DxoL#@4V( zY$dPsU;&!B-Y*7VU>xm7;}2j{6q`>_Jy{cU!1|bDvOlXWX@|<2x-7-hGHurNYwcmRJZf@)P9dCtES2n<=yTLXb172r+IH>{1cerq0j!83ZjJak&MzXk~II%Gt}UJusp>gJAp^ypK( z_7QDuiMC?HbKh&Vy)GFtp3vrFOl`Hh|8Gl{$a^dQXRfhuK?5=jfIGwDlc}z*AHHr9 z+2wFuykcG{e>eo_sK;@bu(xfh`9gvZ35c%Ob1F^=DjG~@{tJ#zUZn?<12>pVM zcn-kq`mIS!f2sWQ^Pt&ZIVQvBA|lFPcZthex9(HA z{w6B4QR#G})!$3DZzq`-S1zyd_9>zCj(<)ZjoUCk+>_qnwx6C$>228ILb+u9j4z3Z zD~q7!*eW0|&mms-?(?xg3_;T)${8w{{y`Gc1iniwe|ce_D$#Rey~Vc-88PusZy1ye zB{%H9`ANhrkkbvJEn{;*K0;EyrjlNNUV66l8}+4XnnFcl6p5&c)45E%b-6?wxF8uA zuO|wXo38i;SuW%^88(lK4qMD07TLKf?%p#-Bs>hPtQvSh%q=YsQ6)I7yLzF08S`lS zm))9bz?QX?1MyJ)>MCmZv0L`^0FpWdL+NoLkr*SmWya^gl}$CT&&&8S_E*SpB09qv znlK8?Fv#5u{ipHV2Ln_^pUa0n_dUgvDQ;tJn#Ye< zU{mjpeEX2NsS7Ym=KXC4ajyy`pnd2jF0WfX+I))n4xP#63`{TZeuavN zBt)vE&H)#k%6R>WM~(AAW%ny<6IP5;FfEX7VuZEeBxDR!4Ijc9)Dzxv4&`{nhy%Yr za9V$JPSoC14!oI}xvXXI(;@~KUXnGt81d<6<2^H_@VgEsj&<%C(LZYeGa=sh(rb?u zJtAJQh43V%Jb!*)Iv?MKqH!>Cc?6`T?L)kMDRbq~Yvaw~BRyeUNfIT*618<6=v476jIXd!R6l`5~2#ZJ3o22TUmPADOCE zblQtK0ha45GM+Zww{H%AliJb|PtSe3%w}+39UXF7^bNG9?*FH6V6Yu=wiHrhM95l@ zr~GUB@o}OA85i7#-C;Q#T%kd8kMZ+Pj@aRPAr&LAO2Xf;O-82q$>Gn?)!z#b-{#)b z@2Ri930lH>Q`mWfFWoz7zo%4qUD)%Jd-(bu)G<%G>vJWC< zYD$OL;Dqz?a-ZvQ7s-DLRpvjF)ZRZEQfbH?`I^kHTFNERk-m;fkvpk%%vpF)+VpO* z-{<&#r-_yE9+ow{Ved=k@Tc5wxzerP{uh!;DEXeV`Rbgn8OOt%k(LMD5<+R&@TPsS z+1i$ALGL7M7#;O+82{h(yF%A)5HcL-zTO|IfTBbwaM6ZizkSz-_AfuO@7}p1>!npT zH%?Q=+$a(={3q?O(qr1k!T#+~5@YzKr4TFvFMOVRT2`x_G&HrjeO)=0H^74tfG8qD!;d`|VCur|ZyFu}e@u6o*Jj9CSV%ap zWA~o>&QE<-SKjCD#y5&^WKyA-qt;?qfE*Y#=pbko)_zLD{!hT#wGK3#R6A2(AHw(n zJU=A)@}11D2(P*Q`T;v8gS&RBHAnH{937a3nMXMzjVvO-o*xTK0tNfrue{OU*^5Am z0D0tTwn*FE#k;_JI6ksUq5Tahyu#pfdEePk|0Yx0)oM8V3Zq* zlg8MjUablK_}O<2H68(bX&>gwi5F+lntB@-!sMQ-fmB{b0XY7)?`N)Lr={#nhmt@r zk)3jF>37kS+!9P#k6WebkC~3yJ%!m-jnxkl3DPdtv+7yKis)pS++oFmwL@^=XWqfsIe3cmErXKM=jRzKt*DK->YbwU(KJlXI>1pDD2RM4` z)!E(5mQ9QyynG~=4O>u?wBFOE3D!uwgEm(_KQX^_Y1h6hXPC4t6@Is3{!!oCve#+( z-7B8GZ_cqo?6C*>B;Bt~%S1jcCt8O~_V$l+$Wz5XKGOU4VCP{ z^dI7pHZ|?vd#HxN_p$cqq$_l>$x0*CB&k%(MQ=mnAli+hKCX(_fx-5lVG@B8kq4KZ zkh?SEfpX=8kq;j_%u+E=8(`r!?&$g+NH=?{_)!S&y5~+K$0X~I9;DsGb#20aeURhc zn?H_7_{VScUqw80{O}e5TF5I)uQ{tcjqmET^j>mw((l|hKDDlU;R=5mqj(lIB~fsY z&e41KhC!pbbsdeHw7cAb%1rzS2fhe~Zg;$p!Y&2Z?7%zbCsMxjXI3gqeq9->5l(%d zXyDkfKW%sJ`Pu5*r_a3$TgQ{*sP>omA{}X+QjW9lTKOcqrW_ zDWa}#<)Gai5M@8GdT?}wy~drRwel+9o=WAu?bp7InHeb&!OpeWP8$x9blA_JX7nQ$ z1KbqTE4w(q40E#HOulndyzaB=KxH|IR~%pjggE zc#iinGM9@!ew)tw*PR1^4{^c3j_PYDgb{EZh}d@|ArL%{0BSq1Ce=XN59t?qpxoWv z!zt`U*$<0M5dOKm(?=^+M-GRZuW%GdrpB;EN{e-Jh=)M@gxmK*zGK9;r60P)xIS_eZecK9Z za^0X<)JLmZw{P>u$6_ot2P-eg8K;+e1D#mM5)P1F)yIc@H^S5xT6cBck%?;X}bX){CS3&o-JM zTH9I9XJ%v_mS?7@BkEt{drlbI^N+za`s2VyqrVioy`%6!C@T5feF8+-PQ}QYlMX+~ z`fHH!y7c+KFdU<+lVXN0>aa=GsPvDN2d4he+yba@Z`)CjGLvYo^92snU<^{*m6Uk! zGu?X_=Dc@L_Z#o6%#{q$0RbDw1;RvWebr00C>vJLaDILG%wr9+!K?h?U>KL+Dkhy3 z(R>|y=KBzv>*##v*`|8ETHSUc{zj*=Q9JfrGnmqGs_$HmGbpF0p@~VZ2xYsRuv5~dR;bGJCY8-@({=WFmHdV<7B=4KT+#`=oQOYRc69OV;m{P~?mC#&`vC9eE|s~ z?JFOi-h9O6bDnlZP2>AE);BBt~Vp995B&kuwKi5~K z9S_$Z{<|7k;cc?D(m?2@zqwt?zy8PiwVbEMW;i#yu^jBF_kV31_@e1-_SI81%yxrx zQNB#CLQR6qFLHhFi=q7DZdxmO<%q+pMfR-fZr?ELq;Todt1Y5FNA{M`dpy;(taN7w zT!}#rp}!1B>3Zd}dH^nzd(qKBq*f0Cqxac;<~L01dwS@y{yn9RTO;wybTjZVj-pw$XiKrM}+taNqo_I*(g`AXAuSNYZC^b zsM6Wq*xuiO;hgOT>f6M{e;L^f?jk1f32{4d1Z-}@ZUWX^E@xzeDiNE(?lIAwxffOT z{Q&7kzC6EcJHZJi8CuIe{1*cXu1At_AWhDX-5?PifQ{UVQlI5$QVz zRp0RAJP6wRhgmGwBG&UgV`w3lzVJp41r^8*7#J9~<$i@2ziFErDP9I5;tcY+XS{pA zUG8@~l!FkHGD<~JYVh$_8Fa^F>lHVmBT*NyG7wz?DY6E6_1<24-y^7o+hge0WxwR+ z#?*Sg%_4z1^B<9ZhE5{_#|eKl8Q9MFwGc|Ex+2cLKSal3-AKe)3UI%R;nkX)2s-g;54p!5LOR+f59YaXbl zEr$^)`=`{=nkP}wYgr+05FBlG`}~(D)rE?4C>Jr-d^pWiu_*$%KetoX9I!_q3RN)c zAl$^_%BRZKl;TND(SMu}hxPC79~+YWb@Py_ldEfhj?f`T>rLfSFaDkLmSzrrcse-i zSnq~w$7bJpwvQT(RBV6#E>Rds+QqGY=b&rxupXlFRBAf){mW|wr$sHvxUZd0@7fFe z`t-T{>HM<$#g=$%<+b5gz2;%}BkN6~3WZxQ zd>?Ao%r_OM<+}>86n+X*54oPz->eoVryJYULt}idsO+X6Re9@Q##ND}tH2ymdZ+AT zv8~5f)`d-6>y>pg4Ycj{_ba*@EYC%_PV_d&Z&P^AptQ79@w8ZsRqca-kPsaJF8|S* z0U2hl&P_*BxTRlzHaDqZ%;=Pjdhl|G=BM3eobmnr{n*)574;0GfkjHErKRi!Kg2x&4_4P@2CXsIuGwgpk+zQe|fBm03 zsI%?(1prfnZ?QthflhOitt{a{AdezGtp8A3Mn=eNv29J;1jvu{-{6_NJp>~p%XNVBsl0+E6 zHnQWbwT;aNBM`NR@JxD)ezcN76afV^O(=seaPxHLy=oeh1Cn zEzqRXRQt<-j9F11d95EpW+^}u`N6wR-x~je6U2Y&3w{#g>5Gf=^NIL%kr+r-mkXQl z4H(w&-GoO+(-oT>lTX8sOh^XM=a&L5b)Ua%CN0f*$rFE;xaTFDB8Jg{Xyt&y2+sz| zqeIvbK8^LX0vAQv!0JmeTRNBKMV~t%`Jf+NEyS_DE6x)^03@OXb7HF%^^W@=iCY?> zE(9I65|8%By>NTh{i1HcMq#L%1TNn-Z4FK^~UG8*5(4zC3GE}2GMwi#|%BPexTF<+Yy2h8yyCbb$e0B z^gRV_HI@YR!C0{EPr0vO(Syn|uWMCw3hm9=vh4^Idku;n5oWL_kh12&!b02!J7hPI z`4vaF*q-N&wfiA0CaWTREjy>a!NQAYISF_IQFj8$Kjgoa>K(@lvI0x{bV<;Fw1wIu zU4JK6M-qF82ZcCKVC|@BXrQl@vTb>>&U0pjzeGcdmoMYDtI6sp;Mcx?rDhdWA;$4PG`$%AMVQfWXgS~xcm0Rh>Jlbc&re>GjtCm{2a z{>(?#C>h{_h-kn!><-u7I$qu|_=`^I>q8DeRsa}(4GSH%puSB#^QOIpbLy8-osG}) z_1g9vJ;sY*mH;dV{b*yL3u~3X$j-qbG~$Mszd(%p7Wn89mCbRA%h>W$wb5tS-%T*E z6R9R^ZWLj*}pyZqIt|&Xn1V| zleX@OOur*ShciX5)^4t}=Fs08`p-)sJZI(Z0eLIn=mKd_1?zKV%``oka zdmkIC3)Ve5TXyUCxM{#+>n1!UT7S3GfOLZz3E3R|ukE)u<(#xwwH+hWyXi zjZ{w?dPuWS8moG<3$Nlz)Bh14fG$f)-&o4hy~%BSSvP3RI*Tr;ybL$*`60b$lNZbB z&%KqEEr*50QhhTYF@7?Bm2{|Geq{eE0h6r?G!JdozdI*TCanOMhp8`A>=SW4dfqvm%Lj zcpWgIJzlhCA?gPX3X`uljF?`qbxkc}!&vVv33jA=GcM>^9>8a35lvEj?iV8igBkWo z@u3B*BN^%G>9+fDnma(r{u;5;Q(f3WXugni^q5_g3@l;sv9TgC8W7V5aZ*H8>)vfUK^vtDb`rQ9$ zmzn=juvI+T&!6qOEN{#i{>U z#b~iZX7f4S zJaBCfrE={oaC7^p$FTVUJ7ic*+DqmDv?#xSr^!x|MWHyx$$t&OgFswwjjTq$pb)tU zh;@q8tG&Ur$F z+si(0oU-BGmJJFQ1n`hiKi47jz5*2j3-KOfvbzdHpcE1f^Zv~0k$_56f=y)Ht|Cn} zJy(+s*!!E=1NoBv}~5b*@Jq`u^`2a5?VK* zwXuHdc)bx7xSfv~ccRgGqg_IGIQ4~dFW*4#w8OeysN}=$5yzcw{{Qmr1$8{W6$8}xl zJm2rvcs`$xML*{&bzx}~#f~V2vQE-fU9?-x|4%)~x;#N{$-=_Jhtrv?ck}KyEey2FJ+1SB3I25Ei)w6!v!@+KrA7%`W3U}UTXTUY(R&H)(g2&K@lU9!B9=NK| zOK{$}ew}k&ycy!WJ(RCa(xK)F;L0m0;R4B`4s;`8Nr~cf2pzxzg5QU}eht9D9@osQ z$NN=*R!P&*uI;s}!EaSkuHRMRo^A&fF_0vC6qLNm4dfDTwiLjoD7SSt&JTg>-~iRrquIqLX^ z16Ch=xcZNuQl0T3$`$qjr_Sv9({;+3wj{U9_G-u4^5x&$;62h4-^x$V*JCE2N{b&c zBus+XwJYovN#ZAJeBWnp&1 zbGId^k65-IMDM3lOOvI%&#v{?2IwIk`9QR+<-WuK|2ED+dJp0L$om+BbHMVUJ{j2b9n1hLl8Y7qI!%4apB4JmAo2+4`7f>DTSY28w z|DdmRqqn$8jBBgrW6jsjA$~@>Boqb>hcYJUcv1Kph}njgq>p?7aow0KkpGNQ6o@A( z&qohA=j_UV_c-!RrT!HYc}W-OKYjD;xpSus~AMV9<-BV3p!7@$dxfep9m; zGQoz`+P1Pzhr-~aucR)Cs59IAxL-9R@nK|;NH0J$OM^s%IL+dvYd2DHY}(APlMsLo z301un{6a}M;o^0SDoTCi;G^<j+g!WC8Zyu zXG_9eVz!NTNlTuTzj8pRsHhk^<44|Y-ubIb-Q}v2cZ5Vgi`sE9@7u6veTwYPy?cY# zTG04{Wf}bD_y!Ctj=%#M&jKAd3B!g;EOHf-)8_k_kNcnRe!`!uFa+^lGCP0VY zy$$hi**9i7*|4fDskGn>-#Z=eNfY_~~82{Ozm6_40*9g^ab%B2&tGjM?&Dp_EPsEoP zzpah4eW;cEzOhk@V5gMnpxYQ5g0W?xAoJVJ6j4cDY>iXtpNzWA= zUT0ZL<&y3Q@W7#$cKt(LS#YbvWn!wK)e0;pYwTIjqWMDqvp7D&YPkt(X&VRV9y^pPp~4{7IYeD> zmGx`B8fPuc@u#@w{X4hqDXf7ij@&pXA@_d&^@_OA-?yk{L;?Zv$`3I>ixQ|uZztuaCdw_1r`S>ok7S45y}a!&5B@Bmj-F#5j50Q1`GnJx3RfZ>3OPUOs?WFdBVp7B(NojJIKjv-#B> z8dPP-ZeA=HzgByZsm4G1gSb9C!A~^xDXdy@u+bH-6u+L(3qR*qUg*zG30|S+I9B=A zY+JJ*j~V=enoCsRZ`XhG8X%mr?Y#xIA$F2pV5%T)ux;YsZ6aF-!{qDhj?5uB-YZHGOJ>aI><$J+X72MESV`H5NDk2j)K>J*KC!3}*dLUYtMt za=rQ4isYQpO(mhW=fEc;#ZtqSy~8(HY?F#-?!2D_+v(ZmAEuNq!`se%rsELS{3iWq zgb%c0e0TBupbT5R+kGy$N_Xq_Voj+|*_aqbbk&%)&U%rqR<*T*b52~(%Jm_9(H z{9V1Liq3B_lm|CE`fv>VbSpbMV^4O2y~_Wv*fLp?O~h1{MFJMeQGK@QtyZm>-|nm2 ztv0rL30$?`ihzPgjVlJ__8ILX$mspzWpLJ3IQ-WFHAhe9M}K;; zt^Y(%73HW|a7FX!RAC2slsAmHs+^?a=#n7=W#lvHxo%7W&pp)>Q6)0R)u;|fi0t6F zx@N0_SI1YLVJWy4NjIDZ^8z1=KIz!G%M2$?O&#>tMnptdb#p z37*sb(wm?DwM1t9z#Y-)4^r#PEJS5n&~p=BDa8`C8(aHmW&#|3h+lDtJ@=6>LNPNp-&3so>hdoy! z6E<=Q)t|eR_^0G1Z0rwCm9D91-PA|j!2!xNE`_xe!r%1guOk<(pElp~`aSa}qY}rq z0NR1EPj2)JyNyC}AEYdw_3u~1lr#9$V;J#Z7uH{wJZ*te>SFaUFH7-Dkbz*cLtPQR z^xkPV!T}NX-iAXuUf=fdl%h$tmK30}!ILIspwy z|5YT49Iw^LH41_La)u4e)OeQSp$f53-j{-po4fxDd%)}AHpIR+ue2bcIY&`7o$zx1 z!&1Ts^Vo->uk&~tGM+}wrVmbh!RG}UFfHBt%kQRfQfu73tqR&;C(CYll9RKWXAKIE zI=BMp8XA&dRKh*F+YQ>%oA>fo2QoV+xLWqsj=*kg&=)s8T8@yo8yRI=xY+Go_Dxc9 zj6Sp`d#2g@IEuHj^=%FPyH!T!psei7Chb>>e*nf-R9CM-Ljp!dp{4@YpDjP9{U#^f zwwn~Yrfd4tbV+Z0l*2iGd95$T9oDFtRArkA)5JqZWt$An z=P+N#&e4i6Kak8|uU>)HiE!_uU=_U)nj+<&_CP_iE{Wee;kBQBS8xKYSp8a&<2bn` z8@7w^!@qf~VeNW2UHp8%=Kr_=A;ff~vy&CVcfR#gX4i%G?ybb+p$#MV2P$=dT~pVG z&Y0DejR6i(!uj8_G2GT9`VUlNAHIKNhF%%v{|1W}Z(UHjfj~{TKy1}G-+3-e%QyNt zl<{0`cNP25;r=W1_Tk=b<&~>+XT zd^c{W_+dx4Ej>FU`%W*rSg-N(eomV4l07_$PtR3Y?5S(+cXIjnqu*oJbAtpM!;#w5 zl={<5{vW?7-|K%a#p1ed%SoOu>A7Pr;=K{->wL45n9vpAxWQDU@FOAoNvZD{{*Za$ zm3gsS^IOK09a1es-L{@ylE$9{QY_*qk5UIi{}B7`n>}qDFY2lw^k~gKDN4W>MCb`1 z=L^K?Hga8lehq!$3p=aiHSutx2Tc^g=pfaq*BVs}W~qm>UN;n@Pu3m(A5~zXSIC3v zM%B&d83`bO3rP8GMo$#<*AAp{*dyR?7}DT(ujl6Gc5U1DZtIm8@s`tg8}SQk;Db^u z6Q+EeZWP>PlzBHXg|&uc98x{WhP$u-PN}ZcR%$$uw%aISlf7lreJO5A>C!|t-)gt} z)eaVj)6e$)Y}qZ-LT5eOgRofu(x}7x`R-Y95WhLB>uLZ<5qIyNJg4;?3o@eJ-Bj7u z(NU-*1;aI2BCCiV0Gn6ctTwPuB2fA_N;))He2Mv3biP&`_<0cj4g<{q05oEwV{IR8p+kkNKd`r4!vQX~*tk zdhwGf`v=d|A)=2zy!ICjJ_n>>e6Djy z_`t~!u{zcqUmeX|V)4!jtr*`3_7(rde7GnnkQv3vlPAFhxY4)&`ieI|IcxBTjggE) z3~=q=q>s#l?C@V()!5|H4{Y|tQ`5Vf`11cG;guIhjIs>C*yf{?P4S_o;3}rE)cp<% zYG&V*hroTpjW>MYE(f=Spq~&wl`6SFpc(NfCWhM73Oa0~VcEB@wvy3skW`_u?15}U zr9O$MHBKYPgrah3PPV`$*#CZEt=%X6k6*MiTUgoH=zbSNoEPCW2m9U}R1~ce{V+m^ zRxAL8vi~Z8ElC_YsDoWV^tMpI=w*xGTBv$Cnuz|{o*RH+{{aa|YE)!ZS`O7Z@n&Qe z6&AilY3J#VI4?rXnwhw-cxH%Nq-))aP*ZBBPa-jgE-;)lHm;8jh7c*TXmHa8d|r~O z5+OnGTKa1E8f}3lSv=p2P#4CRj)ng*J9u$wW`2HTeh8v~{;M$d862u=U;DDLc;XfQw7Pu}iLp>D9SHufqxXS)Lmf_fUm5W^Z8|41ToA9Wb(EWqih8 z=zNxv`(-Uzua}prZ%1x(nOt3GWpL|ky>M1dME%hN%g=o8W=L6xrY^R3h0zGzJ?1o_ zO@IHshJyE(pV=E13)X=nF25!U#bX)<9H6WdMPATd3$NhTTc`r)vEdd*?w8z^VvKsmUwAVc?vRJDIU%J`}ce1oqb^#Fmt`oFQV{>c{MnFLPj|i z5IyUfm;{qzUSfdVNoRe9;D{K7S!P>;@n=}8=yUbaK9D7L?dY8N_F0ZvI+-|-lwwK8 zE_zs35gTs|c0IKMz$vVv9iN(N3HjBWlGmG-vAK~u>`+LbyikX#1!UFs*5bw|hc{cI zyUMANH1coN6<{Iuf&XK+X!0+UaSQSHU3iE_mJor_XV8|^yDn;KXjI^~+aQyilw{8v zjbnp&-m}Rv!*!+&u2sq>uMYcO!f1goR>&Bq{L;qvCCQFJDCLFtL4?wzbFFCQL5Z%8 znm5ObKgs#%@QrkzTYoBQ(&J6wXH1C-GJVm8-UPIka%6B5 z&-fK!LmNmpK}g5Iy=Nbco$36qJrH3R0m*54{v`*6h4K`^+xt_F;$ynN#*$d&rXC<6 zGH5CFn7Y^1+Nd~%?1hvKh@xEs~`9vYuuCBJ%97WL@9sQ<5x3Yz;cKu z-k$Pq;3BnLEG26shI{V|L!ex zJlA=DBZt5xJK5pd8=-WE6W*FKSd@9NHKgyEKHtePC9*C2f#^#a&ZlanTme_^hF1T~ z<|ZNX0;=-Z_W?UzU5+QbT{>ox~BZXBB0Aw5-}tYaYmZx2Pb-_Z|J?g4GN$* z#y@q3&aJOLyzk9EO>5k^M zt+wf7DVJUrS%+(=on5lAC>cdH`gMj!ENA<%2lB!2&A8VZ!8wcp6Ph^kTZ!@6#RpFu z1An28JJzLRjgorjwWmPsG_d+HsMi^U#0rR}ALdF^+Bq|9%tjHu*g-#2;ow2<=ZA zMcz5`SVEzMAB0KXQ+FlKT%(N$=D{eEo>O8iG|Z#LELw#@dj$k4@IwgmA!>{m5`a&! z02>lwR?zPu13w6mBO?o7KTnb!#%^B0ND8Ba!|D1nuWS%W108y6splo40gxXFfs;2e z=fMD$;47OnAYIexv4-=ms%I;Fwt3uX*#+$3y87|WwS(Brj#amMzh;kiLYlY~Avh`M_U$UfCurx$ebeC^ zyZO%V!W7yKrlTJLAyC8w?1?2eri@k~hTHWPiR62aP>Wt9LJUIV!o!(vG&eFjn>vUv z=3$e5MTRC1vQbNQGE`D{-FYyk1#6vzEgF}4h|9T+`-;9

Jx_1@A`?M0O0outMCa zM>2X%Y7eIQDFB@a`w25o_$6p8DK7gQwbv-LzUz;l09_&8?t^?4bVpCaTa_=tB2=>{ zE{#8PBi00ppfwoJ?fRi{^%efN=Z@5HP(e>L408rVwoxLF-?SQp#tPcSFL+&iHj+4W zhDFtnR*TU?@lSF_UlkXFvjOhpw9Ufy}<6#KO1m~Z@`5pP<%a|2-;62R%imSka zL4hPAlt!rTB`{+GsuV$Kei4e-!VNiF4T`LrXtcWx# zzl^BsEn2`9#DWz3F|D6g9P8kQK?YeMXTiKvdsOYtB^j7ZB2+K`fDil!*FiVt&+bI) zWMi|2pg8Pz>!1=(R>`iuIu`XzP@Hv>7L5|x4YhCj7{Hc;-#68+H!xocF zhi1#Yh8{Y}M;KZJU*A?1y39x)*N#6i0OAls_dKI)&qWx-`$Gi%Gd4C=_e7XyH*Oo$S^AcJ9e49bTGzWcPlR6k#Q8D8i}CJ8hQD=i+Yjox6|+VR zCwz>(+dYp#xkf2D?*q@0&W!w=`bL>zoUYC3chc3*eOt3eCfUYBWpzjTk5?gilPJun zC`|7^vwA-*d^KC{_Nt;`w5dkp{c{9QMb6*}H>AF-$1py*dy;sML9%A5{W^~k;m3Q( z=mYi1y&AoI6oPoLk@xP^507I0wx8tM;52&l=n=1o2m={8VW$tM6>p@3h6b9YT>qcc zaj|1sehtd~ezju`E*xIWUAX8UG!?`&d0fgQr(`5F<+OB)2ug$YAYDc%VXHNe1Fa?&tz_7RLu~ea{c)M5UQoD6kNl{!-6J#}0Ih*=*QW(H8O<0t{XsfHc)y-%(a=>zMHxIVRq6Nw`a8rn}1ANB)@82Yj z{Xfp3nFL;;P+tb=b!qASwVx6Yb7FGR4dR6lw^4n7wE(A&?Kp%i!84H$3Bk`Gg*9wE zh-0Nko)>;qiA@*06J<*ZaRfUadD_(UHa-dT`VVH4Hu^vAo}3v?bhd_1-Pdwx#i9mN zK{ImML%q&K=0XTmn`x-oc5h%U(^McF)!Vn9!E=-NuK><4&5dIZMU%9jwCDhohd9`s*M*?4I}q zCc2)vc^G)5&`xij3IYFMm!RP7jwEprEqt9;_~j6p8pa41bih`9+C@}OF2T6((q?^C z&h^rWdsY2b?evQ326d$3`7MXRpG4w->X>55q1PoPserJF;|+RULgFSYL;M@iLu(K& zW69*}ih9egD~Gcs>=&dy3z**RUO&%F-Tibte*u>Z{Mh!8j61yiv`3Euel0`Gwi&1w zzQS|69ctkrg}HS&Dq#wt^te5;+OfjYsbPK#rRE2lnDL6MQso&aXI&hd0;FZ|k0q1)-7HAm#+tP#$TlN)T9^xf~OKCQyR=7#!Y4_adkqh66 zY6)+O#=Z!yKY$V%2)U{0equ`k!9yZ?{BHZ!UGW_)Y7;x0* zoA3W>Xf%BOJ@c!QlBmHag@Ejcv)?b_5Ygyp7r9k&3%g0b>D>K8cm9$6YYygWGh)0aE^sE2(w%l*ey zZOeD{O!Qt~V{R%4`sBXJH|vUxc`}IYgz_n|fBy_x&>%ri+yEiCNp4tigmTN|y`S5` ziU|N%u7@#0!Ex*Ysw6zWh?ENqJ*LlBP~Q;Q7M8-u_G6+m^1fCRd$}g`7&l4%7U7Vz zix{t}=)2ysAEIue+9QV_UI1|o5K*j7T6Z@lhIik-O(T}ZGE z{<0TWA8tP2qYgv>3nIaNxgc&hXCLh-RW)@P`a&XFhPxk$vBv%Lb#(L#7#$Q}utY*i zOuF2!%8UHt{Ce|!I7`T7n?K13U+fzk%^RLTR|HdNlwEk+L7@rN7>m}QJKEOf7y=7c z*lW>)3^^&}Fr**t+M1c|iiJd2Ao9nKi?`Bg*pP89$lzxg?MdwO>mEheG^312?Nm0a z(Zx;$&lPzM79W=H&vO9I91#=|IRXI4ZoBkJ#Y+VOotH-bYZH?ENs%a2Eh{L5WMu92 zi>e;ig=bttmnGPD@<$T(z{(+1_0eeRImnc4aB3_7kQBqP!QkY{VdzN+FnwJ11tt}) zt>a*Y1NZMVv2dXFI);%3{nMnkE--~6>K3f}ngla?oDX2*sKGek)71kcc3q6)v^m<5 zXwMd=LziJKL<%znu5ro9Cp`9wy%3xqHSKj-FGlF~e}7*ST#Tagx&zYo7n&E$)dV3` zyz1c*^!^aC;mAk9&F3Jka7SXD*!-Ya?e@KC*Hy1a%ZaYUPxm-JCEm}3>NNJ*LRDSH zUQ(6bclG!ATXV93uTB`>B>qnEOpZ9^iFIbGE4|;a;y!>x$KetcXl6ec$nM zdcf|!$Ndn%228e>bx3Bq_tLk=6yMc<)$3hN-sK*Nb>&p#{C?x&DNzi}9;`p9Q$fQe zvQN1BPFUT{QqJ{`1G&t%@^&s}Se0Fx9#kH8E0N2O7$Y*EL7Xt?%8_xyf>@sr$N>m^ zFD)&tfglq2UlP?ofg;h$0rvf)UF^tt(+~7g!_uMa=j#8v-2J>c1DOEymSDR|mGS zzwInrJ#U4O1eScuJ%YDsRMU<1+JdY#&qs2Endk3u&`#x$vYXZs-mUhQ?QjiKSSedh zkUk5I-Zud))h&;%7+)UyQ+M{l*~{m+_f7m=p7Bu5a(L92 zE@_%z#FYTuiI1pWyxB6#uYTbno~|705;;S?n+MUW__oGMAB=l|{%f6~i-|5web$Ye-K+5_1UxgG?r14Z#q5reTtdYPK3MqAl zNI-TrOn8JX?d*c^Jqltn(B0MCew?z{k={ospye&Qw3V4T%}rcekA=uqFk>uiF}PJ5 zaZ<-NHdUbNTITyTekNT^!K&%m!#EJ9zXUc*)S!UfA#g8))FPm?ghBum=zTXX?h800 zXrw-=X?{DMN87cmdWR_p;K|n* z_V)B}p+%_0z{C=!FCKOb3=HIw#Y0#Rj{nX-ALJu@cB0|OW~ZF_MO*%Fb|dNzD?7Ul zJmKr{H;|xv@$p+6HZEQfmo0+(@`moKK(|Sr-?%ejcOphC>IL4HTuTUnP&)4v0)((! zCS3p6kz?V7xV_u$4im{BVU;1T%IeG+)i*Xs_Pg);i*S1(Ebr+_`1J#QbR~AXiNXE} zk1d9NSsT92c#xqNEZsI7+WGnS@Ru(v2N+_N?~c^p4;NF|{AyIXxtNZ9;HpixDEmF` z^OR|@9*Ec+oYpnrbvKlFmEd4Xa^z?NU+`JD;1s(D(CpivBRjVMYQBMjDe}#_h_EdQ z9ugf8B)tGgS~Ftmqn(pO^r8jgn54R4XD#7;ym_!m@|su%epHKzY9Ucz`W z4XOu+^4N8`!ciK#(QJet%iRSUTTrJ4+iVG;C_8h7BSs`m)^xyVyb^;rfqx zm?ioQ2BF<|u1uI(6h<1F7H4h3v!g40A!<>|tL2_$a2q=q-FBeyDpdtK%6@@YpD~6r zahJd~fYbe6Vj>n#;@j+hn7mfuv`DXtTihlkB}M$l9k*y)Cj(2?pCez^*qYMs9p*Ot zZQdxX^|kjPd!3}tB$d*h$N9Pf1`*4!1KRtGv3X4Ao){H8?C<}$gD0hEs#JS8DIwv> zv;|-JUl8t$yDl*Nn8Gfi1|;)d?jMQ;7HN+aBv(WK7X9xu5*yHy3kmGK*XKR!#4~6l z-*Drb5l$6H0xsY$4ILc_p;?R7PIQRn3jX-a%+e`IoF5?QgGwujIFnf8fGK+O7dfPG+`r_Qim7WF~{ic*XEtxCwAi+l|+*_8k+IR$s4HB zX3oK_mTozX&+iv*&x*63{g@ofG=6bgmrWgG+8)a4LnLplrPV z*T(H+Uh-0JZf$4sR5>!48fRN;c>Vjmi(Yo!mpi&mabe8l*S$pC3q?Q2Z)~Do`2J}> zMTt9QOGcu5)#hO%kNMOM`_(U0hJ_^P6)Ke64UA7K;@vaDSu&YuQ=GoWbdvM=gQxT; zJcs2U!UvgRJU0(Gix8t1aDnDSh=o{ZTASL?9oz_B-M zt&Rt~9ZTEuqN1B96HWh2{9z^D6;yflW7{ym#m zRh`zuww`%lNPDYl+8;Le&c46q;IqqZLrGA*C-2(SL=6Ki;JH6%V zE*W2K&LcwiuzAJd^0f2d&d3eKp$9;^u!u--VQ->J_iPVGLF4euG`gnzoFmLkOhK_> zIIS_zGG?O?MrKHKem=fP07?S^2G#n2e^)v>IyMKM(9)t?+@w=%!cC20ve0d_w#!}y ztkVYB=$BC&kr1Vy%oj1Wot!XvNV3tgeI5O>B$N-(Ew-OsQwtZN_~<`>8LAQi1wLXlzX?v*6LxYv&nxt7Ii)-<8n}-zWLu zoZ3bfk#+Mrco@1~NuwJdRT|v6RN23BTE@<)cs1U#=-QGASqCGajNc-Y84Lo}ty{-+ zv2CJYYoN*wy&3@YRZWwp^R&*My5j1(GclhibI0!W-J8!Q(FBgI*CDxNLoTv2nD7e+t0ZGN(e z%gxg4((=u^`*tfWWiSvlJ+-HuN_2#=hq|XZb*O`eV!70^jPg{l>2UNrXRr3^8l~cM zbejjtbd-bltyXoj zO?!^88V_*?crq6aPh20?GkM>yote$LYt)PB&BA#`Z}scpW5?&jE1uE3asI@(Bu_=} zNo~|`pxiFsKK~@^&pO^TQ>rsm1Cp_me5F^XJ$-prmk%bi23+x5x8CGLATkP97tM1~ zMO8&+&<3dNAco6GC*#Boc=F&ka^ql)2Qn%S-ns377(vJ-kT0&0H5nTmOpEw9GDQBe z$hJ43MgkVhBdYX1c)L{;tp`V8VoDw<%0mu0I1MuBP6ZGrN&cklIo5 z3F9_Qold;I*UnNB*IgUc3H$sVFtY_Q*)Z`kI3f$M+87Y9ypfW!16Cpz5n#zw8k`Xg zCQKmE0dH?_;?9*mpY{D9{uE+9+V}d(ai=95cQ7{$o9n?JT%Rh7$PT|vejB0lGK~!> zrO^lTFj5Diny@|(APz_)W}ryeX6^gCK0(kw{&bINU1Q_z6P1sgu8$24RxE*_0OQd( zD5cbKQ-g>EA-9wMVMb7q8Q(I4~it(Qj=^ z6K{m;$EV#3AJGHJ_R2*o`W~J6_;J1|5Q3>xw+p~d@v>5+?|p{<_B6z86y5I|%ZM@x=bQNyR*lvNYw)y66 z|xo3(>hnsYy0fKl|P zO7?|CZSz)Sl+G2gvOXL1q|x-NqNwV%GVQ$%e4DM}JlR7pbgh%G|5}<5^=vkSE@8A7 z_b^40k$2<2*YP$NF02^ca4WYTJm~Hb{jOw{W}32Lz+AhOPjaYCB~8FX1n0IR>k+*v zNjlrZZF%MgiCG;ehwTeIiVwpvEdPQ*OEm;@EB3xQx_c#6zDlih;THQ(fIZ@HfyDjzxW_A0*&Ma*ST38a22i2upx3sO)<3@K3F zT4NG-Pu{cOJ->2EOm}UJ;o0Is=K&skMaV+}A|tnuRS!UbLUBlef^+?!<8pzAXV~;lX4)fL2X;d^=ZF_!BzkiEny(ddlzP*-kzoWWM*PSc707 zZS*=#WIxG_z zp(mb`5wEsq{Y%Y^>;gVJfzOQLb^i(XMg%T2s+j49J`X!6D{F;YLrY{Cs}fx`18_kY zO6SKYA+l9WTztnIcix~wN%KZ#e9`IOzm0mXgZNjZb;5ll&&lAD`*Og((ZJ@SDd@P+ z+wFh@0)83<7%Xe4sXi?vfWL;TGuS;&LQ+i@rxpXoW3}M@K64&W%rVaQcbTI0h3XO* z?0O|>pG$>P|EUJ;Ex^7YgW7bPwF+IZq1r<8RPgpXW@cuL*-#j+0c*GlHyd<6cc2#= z#_ZS^b{QZ=6T^?x!F12u*deFJ@xQJ8FYFIbEHUmwHnQ@!LSmWcWse=spT2>8T*;I6 z>CvI~{B*THVtOY;k7!+_2@MS;p&+?q5766>{QC@z655}`ULOX=52-Hl`OBTz-E^kE zy87_2gx<|#NoS}=^ygNR4r@GOdGjVBG)czRfZhDO_TcBo4012UsA%XopEhoZi@5Re zT;O!yrH!XOeSDqO+-O#}n`kyg7uw6cdJM)QRZdoqy2un%TH0`r&wZ3w`S)xr8#fMKXe)76{b(es^ z29Oes9P^Lg7*#~v@%3T3j&-yB0wuMp?lhtgyH$f*1Nd6)SZJn*a@{{aFYnmi?OnYj zuI0s>b6D@fKUH-I^h1K>bL@UI1mbELeV>#amEdc?m~#H*wg{TUo>I@}S}!l7T?zBt zzv!(9OA0Ah8t0(EV*t@Y1`1MIZLekeYwV^zqDL40-sL2YI3byA>46V9CocRJ&QvB1mnAd7I{Xrho zw1<4*HIC=og5O$WLc~Q9Ju@?Xbp_7sJtC#|Q({iN{4e^l0~f!n9r9gs=0YHRs(JNN z;VG$k(4cdm%wxvCa9qzY?!}Qi8oT}9yiv?&d9)~DnDXQa{B#Jc{9!a6=qApc9-0TV zI(6Z-D$pU#U|N_0&jRveLBrFtusGJE0_Gb2B9#e7Q8!~~KX+3XQ0_ovPw_>06n*X~ z^6deQ^R0$+i2KKM;~5iUucWVm*~?uW9TCY-sr`KGDY=gvzPp|ijE2D_(Wwc9vZE#5 zwY>Jnk&3ONz^^Q=to(2iKVRB+?%bHn`|S@~_-DaCNqPKuy`K^V<2iJh(X*+n+7;z= zEPQSzcbbddAl;9I31AKnx;s&yYsh8v;ff2d@4&0oT9Ar;vnOxa%n|3y?J-op_J13D;`KnjKO^+byWeWzNOnm&49}bR<5-;ukF3@WpVwHO zDG~!Y0=gHLa}P&{5`B_(eE9I}i^^q1hlxG+1{Jg(-=x9P`3R};&V7BirkF(MWn7X| zbGR->?!{?5^y_;on_F^`WBk({=>pT9^4^@kH(a$Yu)MIlYTxN|+TWbjV_r%Y>3q8} zkoM4eaq7=z7pZOYOmqWbKR4y8-md4T*}P#bo%rq-${+w%jLpqFE83v1J2*V>XJf^U zM7^W0mYKzJbh7!l#t;)mN)Pa-+n6#^1|A6tB>uYw(btaKVtizF_3&Xh zsuL2H0aqsj`}wR*&8505fq)|gV#Ilc5;4F>zulKJ&W}g$RJ@&G2Ol z25}+!D#;1>zibB3}*960~pB#$b2hOcl20U3g%)@dd1%sXw8QMhj zVbVQ5qvA8H{MlnB!_sFCz$yxvI=W_>`bKFmXi%P4VQksCF71P@Y#wg^7w)5d=P`%L z;h<{PA)I0T7VQf^|5E}C#K**}1&=RqB^}TcOkKbgyoE{uUC@!dtki97Zks9|ITYmQ z>%|Ye+?(c{R%S2pPl>r5? zGNugE(?6MOK5GXy@m}B(G+Yo7*y`>+51w7YG5SP|+Q}_|06sI#7WG(Te+6-qXXi7* z>z}F*-Z1L(o~Kr1eCXw-`tUa!N5P07^)89Qwgx)ePHPs!&dR2y>`JpgzRjEMa45qO zrlM?u`W1)ZAKmsb+T^E|qds?DF=Z9*0aq_q|M=sZN~ce6ClaElJx7W35I399yfN79 z@GDd@G9u~GqzFzLIm|3(b2*c`eS^klg)pa&zZCt#`DmP(6O_{QSW35F`?ZBl*qD-U z914+o+;=V+<(Hd7-sZeN6>FVK>&yt=T{YeZr9S7gq&xSRKP;VwCVNXg_p|LY%lsg6 zd}rk5?&C*~9u2!(Wq4#R_sNqgkn(15(cYK$)XxniP#-uk2Haa8rKb8{vf^h%P*O*C z_b_Vy6YoIVaH@Q~=YCLQ@*WPbKa`dQTev6cX1( zGB!)?efu`>Z7vTdr{Jm>o!eK2Bv${L1Hkw zw3PX1L3r!(h=l6SEke3ui3C)@Jbyu2o+h?X!uDT^=bBi-EAcMp9sLv@77s=%v@J}S zF-`2&pKX?T>rb;0nK^!Gd&1jVT5nH}OS6>UZ4}^#!|l@(CGtu|`-&0uM?B8JNU;Xf zA69K^9iM|Zy9RDl1Z>R7&7A@Lx7^*U0p=CsxqWljS>-L5*Z+5G{FcK53o`r+xB|81 z^!v}!tKEc=5`JifgRBx{E0_eFV8NtFpG4H580ORBMU-Zta#q6hWpY`&Dk8O6-sj&d z<(7-^w?wB$>l&4q*yL(MkT(*=MH27$`PWb&Q_$Mk3W{aSh_r>NX=CbKGHH~}%6+!Q z#>V1qAt)p|Zhe#^Jklr=?&s)B<&3oC0%Ufvy5P0;Vp7H^M> ziE&XY#m3`{46sMa*o{)KkPl>;BAi7 z!vCTFyCG~eWF-)0lbwl4yo$>@^J~!(gol&fmjoyczLvh2o#?Nit|Uku+T4y=3x^x% z2UGsbZ#WF=l@D(z?OJz(vDl3w(!u!K8za6=HDujM&i06t0wiy@s)`y_yBhr3@g18= zE}S>>ap<^K7Ri7;1g)E3nduGhP<^lGSBp4|6!tMY^+gh z1hzsBqrHh`V;5?_>CaaNs3JTS#OAOiUZ4L|ux<<$C>J_#r}9~DD~2D3?%8UQ#J2y^ z6KulRUwAiMUj<~8*XGft>tYhVrl3R?nU1hS(dY-Knu7FSqFTnrq5DHRSnz0wCkiOA zX|0>?jc7Dc*g>#;yHpO~D5psAKMaKjyY{ns0B+)Uy0-Ffk?sX;N#1E4rBl4^DB?c8 zz9I^$mB}zS`*Ir&O9REfpxR;He{(JR}v;Vz1*GZ z;4~e(e?Ylb&Tx*_Q}V^C$0_0#0vfiSP-NAZiu|!do-~HLj%(&}JkL|8nW-zrMDZ=E zY3?J7(zcB(Ai!;sZLzRfxv?-2a*ulqNX@3gm&)T; z0gFjstjqJ4wRY<9{HCMXuHTE}{NAen{4)Ic<@C(YQ^vEs=HEl=YudXdd}hPVzYl)w zqHcKF7_nGFjRU_s*wq^uaYT78F`;#_MEGym1NYZ*+qc9P6Pjg{qw-07Wn!a;6%`29 zi8nH-$pL{|EeL~2t1mUd1nos*MZ{!-xQcQPFz74{P_|3ZO#QtqnL<0Y)?imM?zAVF znaS8g$EcDix(M7hK);4Pdn7g{Mi-HUyOW*_ubzY1GHn)srUl7#tp zW==1QisI&lfv^iA&uPwcety0KC$>fphI94?XJ=d6+jmW+J~T8jX^1xxjE$1S&gN1$ zy^?6~`Si(?>YqM-jF9~GvfUGn_Q84JQm$nXHwxMw!JNMlor}8MBHvjbJ26P-N1B}b z{)jcbgOY3b1tk;Jye?>J1~_tT;rFNiW@IG$&6@|a)6?&=pj>Z zfS{--e>v>KBIl4d}5>R z&1`!OZef}C8;|7oiiX#nc(pGa zr>4;Z8*A&BjM%9|uX?D=e`?1^ZxIy#p zjCVM@y#dqP_#5~QnV3m50{*o8~dJsJc%O1LcoXMqhf!k)tSsW`}!Tk7HKVGEHdpG^8n2CY%L)il?D9a?Fnxq?n z5g6n9v4-%w(AeK!raWKO=S!1(5#L_lQdxW^CR;IP-Y}u#*1wk^-kE%p!{u?O^R#ns zk&l4O#B0qm0ZI%m&RAqUd0mEcx7uQQ_YZBQJ70P--AmNUFc)4wpmUZ7#86wKFvB!AiQx$%Rh{z z8Wu4Ml+1H>w;Vln*M9Hq)VO`-S|4Bx_f6;dQr9!!v5huS{DpsEfBm^F;>}CIuO}qw zj@-ao^S3?X>RRBx$CocTLHN2MC;}VMAq75uJofs%7W0bo^Rw?ZGc(@+7dnapD?5cM z@K-gt0CmF`fQ^`JJhQ5Ht4bnFrg;SvASWAHM~8-#%{EiT_r8Xd;+!c?0*ICa*4|mf zi*3tIblCJ9_!Y*~33CZbycO8enynQm#{Xme@1lf+9&YP4Pf(D7TxBY^crs(04xBIPw>!K7`gqw^H5r ze_Q}x1HrfG{---np5FVal}FZ9)o)!5ihTSzBt4x%fg9o;oE5v7Xvwil9SJJ0G!|8t<>KrJ zvA|yZ0iirts-(%&czF0!zD23W7AP@Ql$HJTy*5JJqObBM?B}VbrX~ncf@n6fZEli= ziZyN|3rGHka}v4pfX_D6UBbI$@lTW(6JdB4A}?^e3OXq^0l~VzF z6vq2GZz4FGjRj+oL1CUn-%5DBsIkRdziM!Bb06Lri86Q_YN#`w`{X@mRd;ne8A?nH z4W-0}N>uJiGn-c)i~O`+@`WNKj9HQzPr)a^0AAbUdgsNXjvubqlj;#uh5Oy`;nsc+ zifpIX6ZrY$uZ+!jEI>y>lzV{GzFc+?yioongX7DbC&wWldGM`yS?Elr9J+GiRR&EB zktleUhG(=2g({f@%Y#_%IQs8)*X1q_$tUb`A7A*~@T6OI5cy}99(P)9(yS;fT zebFlS-~5%ikUmx|G%eTn!`6)#13A0yJMTQrbaj)BF57W%a^{cDgZ+)DK`~OqpWmlZ zBOj9YYzx;H4NblWU3>F=_EDMAF^E^^Fw-xp{4>56;9#$SFD3@#r?6RNy%?hhk+=!T z(3ir=8jW5YjEg|R*U8J<1mt1Qtcj`Vlg{Vcwrz7iwzn*B(+75Gj$r^|WppH6VGE}-EL@ZSXlhX@;-oJ8Qp5ej2NUP;NA*cI$>vYlDJ z*22F?;E}eD4$dLQ^Z~FQwf|*%$Ugl6%^#+R0f+9rKL^*zG3p(lqoPX*xd8Gd6$SFrfOAn#IugB>f&vPhTYo=4Ds;Rie!B4n`!F~s z*5};fvm^C2IGsokT;QLkyJ@-tHMnl{a#!ttFBd^tQx)3Y44S|Diy*rI3>q4qPbf zE5r5EfTXoE7tmCx3~F#S7e6ZqOI5UzI zv@|^)H;}29Fab1dOM4s;cIW z%G)2y{@C05(4fieOWXc!j?MrgBpHhp2+^QZ1GCvz%RXa{un1P6FMy^2L24lH8({QN z{-|b~<9Cl)I5Qy~4cgKigPMO|q5SMBhQ!@YpRB@S4s*e`T=W~wjM@isWa^FV10&ZI z7HBp}6|x+)ut>!RyKnz~f)2*g@!1<*cR`ZR?If?*0x?EgUMx=gRa}4q+1c3<56M$% z`P^#24F>OV74PRLQ$q60zT<9aO2%W<`8D>%i?qm8*G3%pXTkOod>?J5M)xXk2BLpH z-n`3VWri7*qM>@#@Jip-n8hCIt<{Oa*B%D04E@TnMPg{X=dE=4(-4e z_6kP=9!Hkttoi(B`~_#>D*ot}9dX%U>dky{cUn&RRQ2t1Lor!nQ8Vp>?F(k%Krn?> zRN^gudzH(|%d_J!cJ$pZw z$Y5HDc!S(v;4SSMNgTSiZRxtC79{T=i$_Pxnv@$Q^_Ncsx!v@Tqdpzlp zQ4DGV?zVP05vh^67XEXBB(4pUCUFb7&ZadtCNV)!Bc4>w?>@bxrINto*`nx7|5wdG zz$Suy_bEA1amHINzT`>5`_d#{522L3y1k>f^IbEHFVJpSpq z?A6;=78X~4+@JdVGS(s@D>KsuC=31;W1n!0&p=5?9X-VIP&+@fEWjClh@%WN#>V^hk7 z$==xC*8ya$uYFIbQNr|5EbjPz4gP}n;0+LQ4P%bp=V$U`4{Y?ZWvLfy0T-1g-h;+n zx$WEkQ(XK1?DMF@PZ&x^)MR9CcnwwQX4#!O#av*KH+W3;{-JXu$kWy~E%?=r4d>3C z(`itH#4BCx5QYIfa%Z8zc{X+N_ryl9RD5|JrnK4Zk_rmz>+0&{l$1y@BSAI|?yH~p zc7ZrO;r_Lic3#WOt&zu_(9-qcL&&}@n*>=g`M?dl=DY92_RXcKP$Ux7Dh$LVjXcpt zG1lACQJRC1w51T6A-H&{M|dL@q3U0Q+yZWu)BLE-2qOM`3aG$CU0Z--%@RcrsBnYJ zh0mWy?Av0uEjQ7d1J4KBRh_&U+hYoin}O4jG#cdJN8h;3Q7}Z}a+p&Im+gQ0>LHSW$9RjmT64(? z4B~c}kw9D9ZwmrKYy(LU+nk{wW=G6Y5$LVPycYAd7B?o=4kL?88~>kpUpOet#srV%*zo+s28B2@>269fi;pxUccpL2@xTJgi;E;S16I z7mT6gu_xLDs1Gp3T-mU_?D`*REej&Cwn)7F(Y}r##4)b{|2Uu6P=)!wy7{%^t2jEq@hk? zbWd{m)+m~RHRLP{`#-7*=J0 z4Gi6c6nx7*EB{na25h;Bb7NcidD!$kPdhnfn>A!I;~*Ptj3v{7&n2oKem69iQiQ7O ze+;acOFZ6NH86k6SA_$L^1%P*0U=bu`L~Ri*|y)W!OjxwelqVmdqEr1`L1WvpWeUZ zabh(!^e_5R^V7rGZQZXxHZ z<8oKo>D>-AR*R1LEI|U;=6BMD97Y6(zKqC{e zz^G`(I?PL(eP4MDQA193FxZGs<4XTit-UGR@@%gh+b2v*>rZbK<>z3!ai6X{)@kBf z5ZE(W`B2t;2x!rzd^Jb%8h$+w_`DX*tsNiQ=By~*>wD(>_ioVDhB-_2?p-bX+d3N; zm#g>`MZm}t+IL|Yl*Zu5M;ZtA`!20df|{2SjIxXDj=7PQ2{<(f1|rh@FKb=B=b-^l z4WY4*JwF`<(78bBBJ#?jaM7W%ku=pXvbT(G%$hs5bNvpM?Dc`U3F#U70JYq*`bMjf zlG^&`^pB&PtREyz6C;k0{F$T;AOr(sWF(Q`uek);=3Y$1oT> z^s_pJXZ-=rqYF~xnwZm3P7oIOHb^O^*Z?Uh+vnb8t^F6!SlBp{>g@AD{E_33}_Zdj}8G~GX8jb6j3sChBzv9M%%$0ioAtl0ioP{r2EK8}tvjk2VD~m%R5r+K<>6RX8xC^nOk$ z-BmgBL_rppL*B0^`T1{g8xS|;rIm#-64Brr2gV3D7Br9|vHKAkM1L)P3NSRa^FJS2 zK(MYKh>gSRocm+^0wYQKzwX4w(jsXZtP}Y#fol_w4O9hg2DjGUZ;61khom4wNR2N#eQxZDrWq9?gE_7}22<8{hMDm-mI$q^v$#in{d`&dH^!bM36o-8D>DTmUze z)g=}53jc2@S7=ZQCEziSUd*ez)gRh8U+wwDinkt6lB7UHaV@SJ0Cg>FH6v#HB;~N-QH8jcjb54 zWskj*W^wWM!1Wwvr~Ikzv^!zyg6r$L)?L6qWW65=$PRk9dU(nwFmUz%Y+vKbU^uw3 zlAS!dQQWKe3?}ch`M7;lU^mXmF&boZwiP4%21$EY59%>@4Qx z8)}6EN}#EM>=#~!KH!76P{8W4it2-qt7oeqQO8(cP0X+8g~rN=ul$QiHj`urmKPBB znpGx-M{Fd@cdMyc>~9D27xh@m{E6jNKm)l4k031-Cu)Jz+0v)b_N1S3c-f}>rX0dl z5~b5te@y$suU5L|^CH%Db0VCP_>R-sW<@&d?j2Dnwps;KSSH0;(MGk3Ss;IT$c>KnYIWb*>0<6@cb z;^Ok=U*l$U3%o!(Owxp>`8#ap_QrzO#zVfR?-XwY{w_5zYEFnn7DGUD;u*$ZL# z4D%5BuU0|vFYl^OkDc&g!GB&S=+*YHkS}FVzzraU-_;I5>Z6BcG4AH%y1lQyviQ{{ z+5X}FtI33*3GwCzKE}JV0p*7dS=@6r{4RX6i&M{HR~HrN2}iRTF~U$|D5t8I>MIrq z0X~av40|_Jk-2a*O)lt3rsN0 z*u0Pp4+|qWDV&yi@Ikn3<%yQ=E$vett@754zwr10)RxgPF`@c*#L}QP!MIL$zval& zf5ylX-f08g^UBSeTVJd0+6Cyevb7b{R?X8S-wmOB$Hfr4CZxo`f zQWd19pv*mRIb-0?{rmYQFJxKI4d5*yf*2DIfGC9y_z9w8MiK31c=;xN=hqLiSNO)Y z1uBvQH=_jj&X7Fh+OD()8S=*^BihhP&v{2wvf16T+(d? z_IoL-$Bwp7*5QuO^-W`N)WnkwgaQ9*n$QzwOU31YwN!Z09k;ktSPR6lM@PQ{TgFKX z&%O>dBh&3U?w{H&#Wpi6O5e0&7r!s0s1FcRxo#=zr( zN2wAtKZ#$-HQPUyJ@G8(C$ZuO_}N~(a*uzGeR?NnZ-^nt|X z*J7z}Xa8Tp(OH+sKY|UPargyj84MZ;ik4+Q#v(T@hn1J(bBj)Db?&I2E3@;w?in>U zgFVJHhwH0~TOPbRoWMBzF@m{{fg9gMhIN-4u|fmfBWz( z%b3LIbYTA0#yYbT;y#iR5+v^^fqT5FJLKZZBbKl0CYk+rQxSZB!_7eQ*yFOrV8im& zr?{k~4nrX3y1~)WthSdLJeVtozD|VWV5nh_`+H-IdaFgq+EhUk8snQr2AwufYaLf=!b&L6*oaX2O9t8GSG*$dC_L5Ti|)@{dkcPlaR zDikOM?X7J+Kz*)wLcx8=wp$%*7N8j&bQFO@C2<2(Yv=}{u-d}-Lc!4s9<2X3`Z%-D zQDM6+0LU)kDgX%-23yE$&c2q=#_9mI2CYU(tCMGkLToHvUUN6q)W-cMq2#eBcHQVU zjfxHy_+l0p{UCJ9AidZ;q%Y4?;#LCVXt-hac*A2e3DK%4qO19`7tsL9${TT`lLm(> z_{y7HL0FNl_L;mE^`+~hy$z1Z9|3qH1HTIF4IbXSGo)~_;4aWU;;5iJ&DAO@pfR2o z_}^rLT1@gs2dXX!ZD>~L3KyFDPYR0UFnGLl2qP?>pB5m0vjRi3J3pd}>>;p%?K{Xw zoaW}+;Zs{d?pIPsVgOzz{iBgOo8D6#NN2$qUMJIqK9mODo`o{yQH=IgoobWoxnCGA zVXtf0dO`)1k5r# z1!iOlESS~rvtmmmlQp))q+3PL-9PDVFBtiBO(G}V1_sSdO!nEHTOlJA5fPCZwFV4D zNC<2pq~JB}1b&IaMrrg%ZT?se!5DbVsV9*3>y}Z&9!7W|g9N!C8mjj0?g)gPV~{wy ze3Xu-mF^i)<`yh?SS;qEHjXu$m211e9t=_SRp zp!IQHReh+U(@R%jg|}-loSw-wGNJ9R3ll8=;@-V6gaNMcb!|FI#9~65(-DY z%#nAn2xA_Mj=#T_wJ2Dqg}v^tinyhe)sUzJi7|m1Doj@t89VY|v+|A=GnyFf&|c=- zdu6Q+O|Kn8{#F|F4-BU3_R#RaP^5(0}y?Y-J}>jdc!5 z#FC0q>_qpeRdRNsd?vW>k>t7z{LlV%xV_$c9!!sAH6Z8&EW~haIJASDWP-QZ+~^L( z#2a)a-!0`DyfDH64&c;|_;uSd)?&{$vaq0sH>T^|%?2JHkX>0a888nxiqyVAhD@wP zG^Au$b`EkX;jGD{uV@Z409l-h-^HZ5~vLYdDoSg}7#uvAS*pM644$ zMx`)Xeo1aSFOU?HJyjq2>wih;!;1$gq~s^7>aUNQ;DLpGdzYOgga|efC7q|VyiV}u z+r@PUOH+%hAoQ(Y00kT?a~IgszPxYPTy6;MdH<}jJu_L3orB{I&#j~b`Uc0_ujyY>ibBUps_y?IDr5OKvYD9gk zWZgV}U)75aKSoFC<=dJUlyB(n8YNENohd3hhEV$-dVe@7 zgtFtU*Wtm3TrXDD!=mpU3*_(suK)OPYDWgG`sg`Yp&##3Y4&q|8Ubl>_eE;i!*YeN0L&cONApHs@+&gAvEmv0wbVln>329^p z5=62`B!O`jBM7kGfPFe$-9F0HQomkoB zef7VRk-Py=I*=e!xw*Mfo(W$8Nt}5d1!i*RCd_D?OwLV)UPax2$I5BQIb1~7*2j1^ zN3qDXYO+&(%#K0{)c2Q&zQU51ZIBoYzC3z>RbXf4(^j}w9JfiMm*p(vUvWzX5-W!W z2Po+CjvMdD-2jv58c@A7G&H#QV>`QW8WG(uXAh{)Gb4t7;b47#AvQjK7$h|5)cVF% zFpLy1AV<_be*Yt~bVf^Cy*}>J{Y(RSjrdpKhV@~^q{kMGUGJ%sBm&ut z&CT^2 zzM9jYnr8Ljk8}x7nwm>epq2rzbBl%N?voMBR}!;&H~k+@%p<{pRyc!?oA^QoL|I?5 zG`=4A{5g4J!n$bphwXe#jf-5obERp_Bo71%lPjGmz^(T0zt*c7DAU$Dopivkv@+%n zd{@x}#R6*)Mj4Z>EGIX}-;%hz*0k;66DtbO+kePr`S)geBv%2Wwd;)eslWM6WbH} z)a=@4tBUVC&$f7_sQIQBsVRLs^Ubr+qy{az<{?WTb@w&P)P46HJ*!Bm?Cl8r{R0SO z@wvT1*c(aE&iNlbRQ4%?&BBG}yS&$BGOyk&pS=#WcvY+p&6~ILM<=3omvGzvs0+4}DoAAyqd)IrY(_()8~wie=fZM9 z;+@3LA3q+wcK71^vfn$V^B2B0tDbzXsyLf8c1bYNAe(hPeYsRM@>hN2=|cy z4K}5rb-N5~j`8wbpc-VDn_u(OtIUX)Gc`4$ne2akH}ue@S2H#<3kA|^>?@xOz!o_^ zx%;Qr8;Ha=5%hwH$$`t&;(41!CJ8AR;Cy^)=}e_Wn@w%wfLXx12+EIVES3L4UW(w} zeGB}=WoO@bqj}!H4Y*!KkSue3_21YYPJy?s>&$6iSe`D(jx!JoG0DxmdnvGgwi((l z(irTA6=`m$2xFlWi&0>|*VRsDy14^2JmExpV=<4IR)(qq*0nt z5TSwIYRrYpi{%6?u3vY*;q}|zrG(>lt~Sh#vOd!2(nvi!Wl-9hG|pkyKEN{5H@X7l zLyqZ#bp#s*W?QB7qMge!qye!zD1_A5eIG`KH?x(BBRFHSQpTcqm2YP%ZYyGbm2L6T zdmD5s2g|p9)TfODTigT0Lx78oje_=7t8|ma6WD-t9d&xH{0iUKw%>u9ZY`^z4hR~I z9QDUJdAYc@{*B%Pey!@F7sg)VZa@z%M8?#(YsNnoK4|coM``kNsR~5({wc&?P;@G{ z`v{`X-r(fCe*F*hC3@Y7u?e{nJChBkEW;6&4N+GrHZY~ugy{J*kjwfsC4wM$_u(x^ z$g7uMF!DIXC%h^xZPlmaJiVF>$+JLw&si0KynB}CHawn(w+jD|ou|p|{@~R=1ru}g zx>palCn^}_k)7!}g~$VTQh0dIoTdB=l=qP^VOH1G(LoAS15~Ct`?dEs6QW!I;73i# z*r}u(?xMtNC1evd{$qFCt`vA~gH~E@mV|&~TRx3BG~Jh(iKzy18Q)O_R0u2j(aGsFDpI)qTowd5hD8mj zX;=T8P17Hk=xbs5#BjjZ_l0x71uw6{zv|+gJsnL=2c|CdO^1A!Ug^L1%NF{Y^!e4^ zz=#&b4fgLGUif1KN&v7VazJ)B;m6~Mpi*5M6L zTl_^w11`F+r#`iNY3tX?is0)H>edSyPqP+`v>x=n)JfY^cTP)X0Pd9d7&o^qH-B(j zrzuy+Zj3u@(|Oh5N0~RPe&VIg&jakYUT1K`trRI3r|11ACyNh^30I z(|9eBigdy$--h*Y2c(8Fn8 zR_bu)k2}}$^JNi>5&|T(J})8=>NbGB`k&Swxg&|i8{T3KBco{JO0_?uR{JVKYCD)7 zB6t>Iasad<@t!0|vv!Y*7yDmxi9E~|rWJ%emhd;60!KP4x7b;2rnF`q;KCa@-5ZO> zkJQj$*t-QG0<8tb+AO1Dg(q2k>4##K8&0qju)J&rbqO%qsr)+gQgK>Wag1Y*C3-vW zD!JIT$%j9^WBwJT9k)~D@e%l@gp!W#kMTajY34G^Q094v!pp9*X-oOj z`Sj0w9r(l$+2J@DKJR5pPuoRna8u}qS4z+FDjGXR4r+O*qEJJbS;e`v^2hEQweQ}s zp!BkKA+hzFgz>THD7OdZgGb*F1f>Dq$2<^z^5(C>kHfq6z4D{v7x{1KPu5EnKO}n+ zC53A-SVop}AR_&6hT9w7Z-Q!FeDjSGMG15M%;%H3`Q)IDZ$+OQ0VAP$(M9|;DQAIF z-g0I3P?`EK?v>q7HaM+o-SbJ!Cp|##XM0v;L&fIWzn@Ca+EX-ohd1@lKRC0ey62aD zv}tOD#ljY#M+7Pu=wNJz zFd68d+IUX;Y|IuAwhCJFGmQdg@h)%^N)!!y; z3Qo(&1v1JtbH-^MbzQk{^d{It6jqWNZnA_Rvn$bm+CHR<%CDsfMv07gu5ep4onY-G z!@&?_gCwIJd!}BLcHgu0S|~a2So!Cxqo?=f@$-I#oxd=85XKUr1BpsEo+2IIPoV$u zlDm{u88^|pKe&JS+7T8{EbVIo^XxPo(bLp?gqCdQwq#GB)Lez;Axpl8YUSMkYZZwf%R+wpr zo#M5zfJZz{c4lTJNNX&g#4)z=Z}t#Ob5|!Ao{c_x{+y&F5>^3vMm7>)P69B?zm}$K zAjOJWlfp&HzI{s;XF%XOf-&>Rx_-23+TVt*vlENUG)9Qx#iUPhXu;r{)>g@ua5 z2ahSAo~{5LA80OFKZR*&Go++QxyL&PL4;V8u$@PU!pBda4$Mg5t^*x7>f48_zpacc zc|=JM7SFftsEGE4=d0_`+XR_SS&83duX4(~?_rzG>4k6V>JSeTd_lI&wYY5M%=o#) z*w|Xd32D@2dMtQj6IvNqT?!!WWy?1{-N>BN)}lXCHi_sxB6T5b1nNgHXl!i>`~v4U z_D=l8N%4ko#L7V>)PDgh4(UG`nw(@QJ{CpdBjB?7+Y+!+v#bC8`x`3jfPRof38z`B z6DWB>8?sY#LJ-~;Vnip5i945affV*OE}Up-^XGqhT|)c^@!7gs4&RW)@0zgt;`U#> zupipsZNOqsnyQk5n*dRV!H`REL9T;7rm5LkQmm0?BrXTRYeq>N`U=6MLkTm}&m)0d z5>h_b&n=OWD9s#O&&jFxdaQp9)zp)_xkp~225E3jWY)2*mUFL!p5_Q#F@t|w1eo}L}nBM#&cI+kFtmx#d_92<); z&d?+II|+&>*NrgJsxQc|<1@?_9(G|M0(AV4AT<<^3Yjc!HNovmK&AEMT=F)GD?!TddLa@IpFSF)T{$472b4{jw*N!eufyEpD+Oy{+5u zvAK4dkqv+{n@St{j9+j2uUD{m+*f@_y=!5RWh+HPe3*8Z_*1Vj!>R=8A6`#k6Y9Jz zRO!Pr`8I27#_OAB5T#>u(=wyYW~e%>^_#a33k$8Ipha)GIY~Dp)qA}5eMC%~-HcDkb$H*> zmOxqgqZ5i_%Bu;=;{ zUJ!%NdD+;cHvA)>K$M>L;-5)L)qv2cPdW#SkDB5)kAM^4xRSb(d#{2=R46C)$d?2*`|3{~dupQACn?K}NxVPQe6#lB(3 z=C}(7-d=%H?XGm8#c>2XZwWOkzv=aBEWAa_?p|w8-HQ1GLxGHeQWup|Jw_(GZd|#N zy6W{SB$N#~7yAOh1>8}pc=`zs`9Z5a+n^0j%r16r+Z1_&RHjpDI4G!6&Do#AH~RuL z*MlYSY<>CmO~0kP$i+0h&G}($fHn*tx|HY^y6>wmU%b2x{ovi^4HqyK3fyWM)e(um z#k1zvdWr+!wa)i<3?FPpccLhz{@p5{&J%yd=$?mj=e8p?xJ_*tS`NgLsf$pqggm~z zMb|bp5vBzSHPR+ukZ3$nq2-qAkz(6#V>A<^r zwpNPwx;(O9RFq%(!y|hL*LT)r%o4K?Zj1iHm8M1zCe9=|VI{qAb0W&eZj0DkZJk!V zXZ3y7ws+%@d*B3_p zPA&Bq3Lcyp1wS~Yey^SBabDhtt`FB{1X<(9Aqrn4YdFnagq9q-b=`8k*_oL^XlY@# znX1VDcGL?a3#12ROwhtihoK@$tpW8I56|6zD6n#1V8B_mSajd?`>%dG3N@_}6;Fm5 zC}t9Oui*2&RkWo91S4ReOhJxpaw0-Sp0l?D6O?ZJ$g?Z4+SlG*>F`WQf9T09Ww~vG ze82CQKySbc%~UJj(T$Wvw|=yxN?AOuJar5sPg&LX|B_RIG+hA_C( zzd#@>HZQNNPA`(p?oNLsB8KnBZ#ceVlfp&f=C}&nOpf~py0c<+U;pp()W(#PE$7n~KKj6H&)YzC0xQ z2}i`r-wp9&yk;}144z)H%TJx^7=Vu-(@+ojg%mF1y#JM>g z6HkBoDB#kDlKR-Bnmn`ikv;xi<6=&e`!#a)A^{@|L7T61@dt)qk{`_xV{Y@a;?du) ztp_RXMawLzNYSGRN4ItBi+cZ!8W+_D@ezvo_;`|7Dl30|zkP;2=YHdcU98>TKeL(7 zzm(3T_2p|UyGAvorGHi)diXFb^Y+lokRbq6>XZck^tKP2CF?sRKYFF8`yXq6@wh{s znSSJ1{Fy?#QC%ZRI;$t+rCF@`ea??$O*Y_uh>wNEm{)Wc<|+U)!3cNj_ZeoP_?4U1 za0#4Wcx?C}gG!~;Bg1+v9o=2aM&yp1+Wf8$GkBYZJGN(pglvknBpO(Z&$KLMxO3BG z2N7~Pw*)I?Ol<5Bw2~UQchS<+%v5HMpj5m%cXI^3d02De#*pNtVWI%#6ZyL=nO_zh zu(~t=msRS(!qU=*z&#kiyMu*m8^uPSc{g~wN6=gQQ)UwW(L9S>{KG3op#!66}< z^i>c9x^PgbWAjGQ2&8S$ACF{}BWtS4t!@+<+vM^AM9j{^a~0Fobo=+-V#&|*NHBlU zHcXYkGO;O(zmKaL3IqL7n0V5EH^zFB-;G{GEs@4FTqYN~tXcJZ>(?n0RtOZAsKpbh~%uCL?ZB+Jj^0xmHyd{??q8P_H_05`XT;Sx8i$zO>fvy(oSbCBTIRjCpE8+;s#hW<2ni+Xo=Q_^Msu87&W?AJUzX&+JBD^JvjS zBI3I<0JmHAs@LW%5NX~UJ6jv&w;SImffmW@0T>5cw=bRP_G{(nECZ5~%l;LNCYh)x z<=G-lq{9Kq9yw;>btFPDJd8@W7hn~*-iT0^1Ii~)SXz><6kZz{&{g$*z8SI*VR`vmegmYM z-YMjzM^t=Y#55*Cde_?pB>ogNj+D9I6SxEMTbUdZdGhm~NiI!|9C~wLNUKG@ybsl8 zfReil>23oA7{>2|>j>JeHL~S!sPNj1;CCxKe|*E}plg*m-u0bM-yJcK%Au>IZD>^q|bw%m^ud>;7NHfcCQAV=~@Z<*zPTX}4_w6wYuP+Y= z;jZ@XlE$xh{Um^<)FUW9CHGIuZZ4an0?+JYYz0=(3}*H^uJZ})T=#WbZX88xF_A;T z7N2>wiN$csodzN#CT2xQ^dhv<20J%*JHHFt)n&fXba@m_B7>8pC9`+s1^1sIn1PUW z!~i|~aOV=#YCgTsvKIr>A|7E5LTD=hI+<;kgOT3F!C3x$!$ojwr+^^r-(5jz)vv{b zOd?aATT`hzBY*$-QwQ;s?*o=vBn+17twjU$|Mp?%`EQvX;!aa0c_;v`l2 zc;ry>PBL=r7u;KlQ(XiN7J&$IfOa1S?y0uDLT&z}iVb$0O%RS?zG5$X67KstV70<{ z)#h7&`77goga%}iZmGFhcypfmFP#S^2QVS-a*Ne3AoJ+2>pyk$^XJb|byPB)--f>y zje)k4PLYz+MF^?S{gxzE?WL!-yS^GeYj98~)YJBww?CbXd3_6y_`!lA-jwuC-t zal3&-R5RC%Aoa?EZdz$Ztyc^1-5joI9p5eQPh z;v6*JwusL%7Q{jfeIKK8j7K0NU%hnS8&e;RC|`rE*X=K*ZKe?ln3FFr`AQmH-Y{%{ z#XUG^s=C|YVOW}^#S+kqpMGwP$cD{D9vM*!`yi;3GM&8=vP?FI$VZMD2ghPE=Z z;-aFMv9M|u6Z_i6RRv6nIGRxqpV^d1Qm-L1nDL2kl=?p{z#m`_RH@dyO}|rE85q*S zMbJ$LEh5%LNFk@xc<@y)pLnIusQ@|H8qbG-v>#6{7eXK(0*=2_+kD zeR*mQJKNkUJf`gA0hAtKVPs4XYG4j=n*99g$o|;Gu%%!N0PygO3}Tt+XnoY_`Yq&P z$J$aH0d4k(7Tdd9{IJAEgtZ@-e}!FQ@(G+Feaxw<~I*~5+$F>0KItF( zuJ{9GmAAuxSGa%L?rJprhwAjF-*a;#$zE83Ice)QK3c+1I8}BTosMe&*;M)CrS?h5 zL9wnbCf+Ih#O)=o(4e{aDuJr%>FOFe*9+N$yuvTIZ#ZgsEKOhn*If#Myt2B*WA|8`MHqkOB~clQ*?UvtC{kpB9>#ths12A2+G>FVdgkl_+|M1OwpP?b=!B2h5KDa&S6uUotWXYr##`g#b)c(;~9C{ z8ALErYQV14z~J|%6iZy;Z`-S8-S}nK0Vkq7?J4B``-=6?cw0@qExcTxPg#B3xc+@k zhE?K zbgY%CK=zzUtK4fqxm&|NZ*;|d3y)!d?+4zJ!^wsbfB*V8I8B7SRn>S|^-ApQzwc$? z>o1sFF)Iv)HOX6u^5&IEfeCsJ{1LMwHHCwdGaVffPG_9RR)lv?@f$oM<8TAGJG20j zQA4L4Mq52AsXVTAl`82I-aGXL#W9D4Vf-dl4~i2R%g4BhLHv&j&<-!U`f>)>D@_?&yvky*sB<=$Hq zgySzowr{Oj*SHv6x7%r4e(3vJQzNJLYaNBNJVuT=1h|BWy*^|-grMB*-NR+^W@qusGQiEQEiot8p_hDOOd&Zh4lrk__|!b&lW`)Ka6O~a156RK~MmE>qIB*|N*Z9csA zIk2d?fSQY0`?J1$ew0~sFxNk+llyCbOIX<`3wvY6i)mB(8hO1&|7hJG>Q1LGQB~fv z8EPC#4E8_G(fe@C#nUxcLt%y_GaR8*Ak+Zcaat*{#!%z%*0`W;JtxKg@Px4iBku{q zm9<1d1SEQ@j_=H1ako_sc)O<#4eR^gNF7h@dt-t<^eiynI;!5|S5P7OcO8%*J3 zsFkt3iF)~D7nZ#_Y$1EagD*=dIvRC5D@BI{HB+}77ohhv zx^~>>+Mei;1NC)>)vDHTr1QtQlt`{Bq;vZV?XDgBIus+rUX7e+X8W9`y|z$K_K9XeQPEsjY{-e9 zvb5l6;jJMiy1(NYH=F-#KD}qi>Li+nKTYFgyn&xB4cCGmZ*ut4lpn^|{$^TttjJNU-g zr9jbta~}>(O;3{=T!6sf!pNyJ_r04W%#ciP(n)tV5HzivtcW;-T9QJ&X#AWc_Wca0#APYP1^U`^F@MKD^9rZu_ z$!JSjpefT!2`{E;DQ8?NVzz(#@}>F?-%$1M^GC!v#D=%ix20;Xp#<#V$_7n?K^Y$7 z?Gumi3s=GIBx2ngqkM;MI@&_JypU@q*qcW@2tnN8dd}`Py z6Y1#nHg^O~@2Xg1<`X|%%jhZK(t5F&$v3Oew<}mrA3=Dr^Y1 zq+>2K;-d1C0diI9Jo%s|2RrwtYW&YK&E zTUcasb$+V!K*Wu{`$`NXL&fiz%UfTbpS%V_jX)VdSZeTU0_SXl*J&|za(vukn64k0 zY|!NrMJ?Z-aXg7*$QX6gqc2KeKk#{+( zmM&g5!RU>fk&djK{JZ@)fF_e{1rKa$Jv}|CK)7+;zcSu41ns}}r`_LwpM&88P!K;> zBjQG%0)>I+@XDC`Yc%MhZf)Sy{mr3QcuzVi@T}wC5eU>%1PvC*(^RvMLY713%R!mp zmd3{04ug&@XCAKmxc&I+%l`bTo}ot~EcLgF$Q~AXlb(E}`(9(~KC8o-1{PjX7MP>= zqWT8du91-u1-g=Bae$R)wy>0Xd|$@SSqEf>66klz^V4Y{ak*)AF(Pj{OcwV%w|;u8 zJbUoQMkKx|l58SGwUQE%2m`T<$vp_0!uUJ(`FZGI3B$HJDX%L$Ee|gSn2B@18dF$5 zUIT)21L?N|X$5VKvINX7kY4bsUrPA-0Z{=sH36E{I`g~1RDp|MTJ=}BU{c@30@dLs zxE2rUee>R_qpO?9pHb?_QPZyeq|?=Rxi=~05z=~bFzC#R)Bf~t9vBe9Kh>Km4+vEktm{C5-VfEWCs z)#ilsB>@E8(^M}{aWJ(|l$0!vNIHgP%n1a9in7J*db))p4`!QiT9NoU538AVjWLW^Vh zce_GLOq99hqK^;0bFXa-P%L)B2~Z^fJeHh+y!2YkNQWi;6G|p|c>N`>NZ;hD!B-T@ zhCszcy+q|pZ08YuioIXXy;li=w#-E3PbuG9i z#mo3-aN&)~zb#nS+Eip9rj0uXXUDe-02W8SeK`SS=fSF_03Jb~ww}mq*Ty{$b`|OY zXu$E;gYsa!T6D$7Sg@XyEquL4Ea}F(VfahW$)SgFNbTTTB+qI7$^prM59;2Lh*Ni= z&(zb5D8)dELzG1Fz@t!!Lxgysx~(p%t_UJ zXUa5L%ESU41m-=GighGDFD^$fqY8Woe$Vr%(AXg^ zuI^EO#WgILOuXjEA}Ija&adXfhKHH>QSkBM1m8bzED=k_LzaqK=~sa4L}&mukcS=l zeUV7!%XsGXiRMw%`>>14$Y1}a_%Oz;@ba=>N`=R{Pu!AKwv1lGC4j9f{(fQd@%6O@ zmPss>2;}|dKMyR8GzSsF0zc=>dlGu7IMu}g?OYWQ-&?Q@;;0%18BCyj!h(&A=$w08 zQ(a94-i*t20*`u1a@(ApKg}UE3a@rrr>k_At#ar^bOYEy(KefM6v{z@h`p43^|~iB zOx0fEA`5gHfCJ4WHvZmsSeyeBj9%49v&*5veJ(Y!3RivyQmyf+YR8{|OkL}(mkd4+ zi;`13*nj0Q9}{puP_1---3c!!|LHLpy#elo&W;~%bZiN9N;4Us^RsTyNTAPaHKgWsp50e{XShYC) zBQsD`zb)4}meE8xU#+h(_7r+P&CzGx7#PH;5Tg}o7bCnu^vc$o1x&dljA#B=~mWO;yNYEOOTMTU<(nkGh}jP+Hil6`HlXZJGgFm|EUrVljW z*nGobm|x*6%OQ_sHBC8Q+Z`X0#?BgOMAMefwP55HrM*~e@=A_b*gj9D%sh`$e2N?+ zw|jVMF_nIS@1pEVG2RstLQKF!AoNFzbXu=%l09FMQj~#)Zs5>U+e3FcFM(D|N zb4a1Cd(Xe|nHy*S%?6>%Fpo$UjSAIYziN}{FSe!|n$E-TVi5HT!UOU>0Fp2U#PM)% zv-+hy{);is9Tt2m%TEIxit}c^kozdh%D=dFPXWJ4d2?7V>7~za#*?uZQeEGsYhfg$ z2W2RzEO7c$Mr6-9IU0y{I25vhWRhPa#we^J339g7%PEieBpk{%EE?{&*)G%PIe?`N zKZ0J$2&^XP%gL1OvTG`IdnG8X`QXD4wni03{&?&L9UW%S4mXYz^m+E7tr@d=4fZ_W zrI?tQK>%d`iC})8)bJr!xqB_W2x+y)nnMB;ss_UT1VBNP8@jd$@P-_+)Hi2*#vbBZ zr9@S(8KwL%;frrfdG?cck}$0V{9>?|>qu?Sn- zK?#_N{v9$$gN0DqcCki|8LEp&jMDc1{!WvUpMCqT+){sSro_vFqaZDmIcP9Hu0fZl z8V_%rZ_e`26Lq zra03mS0_5rYn$q9-mtd*M3N@m?S1O%4%CB;%h%$)IWlM#R|24Fy|geI&)Jz9+Z#w# zW0AG{u?3auw)(qJ#H`2QUkki;3U0}m`1p*{Qf@#EBn#rt&(Dzrt&VzSo>xZU4ktb1 z<6}4lQUtfB1_arayU19U3i~#=A&R918V>Yv;YyqQ9`J8EB6IX$c*;pFkGHJbsC4i& zx}F#EdP?O8q{Rcqn6lqp$DP|V89H2xZ_P)ET2*v*9&$2%)Y*-3zc&&Ghr}+}z_e^ydX)CqCy@QB!b&4PkPDNBG|7=S4*vK+okAe)2wp=V)-|f1+dof$r*pBcI6rwe$6y~6t0Z*~7P+=L*FwQ86Og~Sxp;Z3Gpi@p;Oo{47ZEAt zE&jR~X#Pmo!XhD+ibZa_g-h`<^0VsIov87*05xpu&==b{E4~C!Mb!EpX3`Jh0kRLH z2+r)121J{X7k6) zI$Baury(TVnv|_dDVu4OB*jt`|GtQa>PM^)7zZ$UDrmzg)yuZsw<3MFtn0qT#MLwC zU&q>%aGJZpCxgXu@L&8{u2#N7lWCzsN%EmC;j8v9ziiHCQM0}IO1x6bljr30g{Rtd z8k9LYm$boP%dK~4)aa;EgVsqloJ-m(#-CdKz~DH{C;RcSrw1~Zw{Z{1ofuqu(jkp| zAiBwiQr_)B-FB02f4#@I_AK7xpPjNMBh83yB?kCu5WbO20ivp8f zAOZ%VFruVd-w@|uSSp|IUy~ZJV*uAbf^OuY48h06`? z8Zc>0bsay`R`h0*_8LF?#~f>9k1P)17*Ag^H#589cU>Qgm`O_&QE7K(_5s`<|7B_K zanO~SbWW|jhE=4^ACmYMijASn1IUGx(o2VkRH=U&569ugJqO(5hILWvBbzhb$gAI@ z{`SkrNGMh-!afn?{+l;ab*gYW{wKV^@0YdwH%1w90pgJ-1QRJqff@j>7KSFam=>Ge z3Z1UX^deXZ~UH8t@QATS8e z?<>Kq=zI4hb3S}VF6tIBv6(H5233=50$2S0%eCYGM=k^OUml7JskIa$+FmjfVx}ek zWQeu!C+2o~iZb*pZ{EClXmm6T`Df(S$B&5kfgOHxImUyDz@oIo?${zI6<)(2ycclt zVVl-zGNcEBt8kY-@7uFq5Jn=_gIps1K?gs`1!&PFadp;}9&08Tx2LB9;>mN&PlL=y zkk1tWCseJ^wYBYa4u17VOuya$gdU7we=-)@U5kDG{NN$lTIf_N8yfVBuAB5a9gGbU z_*6Q1Q0z`;PmlR=|DN{k|2AE{dGjrr#*8SGBP1lg_y|CX9X|bNf5WX8gwF%bNJcYf(IOR!KY#`N9o?KF?eUZ&(-)F0 zH8{%0%ELidWq>mHzfIN8=uGbVae>x;fn9l)>IwZ!n3x1Ky&!6;*GLdFMR_8 z8j6zE2{kPSljw-wBVwn&Y*S0EJ7Tc+Z`xu?#|@*Q4cXGcZS-L|m7bm(ZyE(N)u)dE zc;sAbSYk4ZS0m(K)+cDo*)1M$68ux+b@LrZ05f{)>3-BGQ%C~?NiqePL(Dr$r+V1V zO?0Fk3kK8VSkH3TP9>ifRHlK`>ML}WCiUYg> zvT(Q#zIyg-Js$bsdwLm~u!4NPfF$hkuE%_b(#IUPy^X9i`}7ln7WX4a?_wz9i-vBH2djizc4w&YoT8CSo%6*(qcs){Ek$#gos=4AA#HNsTykn@X-LcI2{* zq~xQ5?M=!uip(KkUqT}yKG;Oych|JB5k|#Bv#Z~lmIs257;EIfzUu<0I>X?8`Eo^D zMYvxr43JewtROrR!~*$WPqq^gih-qPttCKOm0*4D(l)GrUiPZCShzZ`&m-EoTqi zGg(y-^4wNYnav|0@a~S#pet8l*_G|*@!vlb=zARyKt>TTrfR;zNO4CppvkX2&|YQ= z9KYkMqSPa8@st9K=3Z#4-^IgA2i*V?6Cxnyq~{G|k?-E__HyOLH$J+!N9&3|M!YMw z^&0*kw%!Ap>%Z><{z=KqEGx+fl|36)Rw+s-lw?!LC|N045h_$xwzOoHC}c&FP-G-q ziLweIJg?9HzVGLp=bYz0*M08$I@kXye!uVc^Lf8tGeUsWUSZ8xr*zKz4wMqeehxop zj>Zov3X<#cw6FFdeexz5Vqk-R3+E2f53<^o&2jJB%ihFRxi(Cy|I3B4eJ>2EW`_^n3S|78PrgABgUq`mr z;8^Rut<*s*-h)Qj5+JawdTQK9`*=III)^sT1he3i-bcs1DC_IrDA6*cFLzy>K*QD|1;29O({R`1u zSHDNkATK%-Qd~+vPL4Q{_2ZMvlA1#bOo`8L5nwd>l8y4gR$RSo{lG^-cHQWeCYTdE z1!U7DbntLlM6zptC1~apb+Q{m!2DwYdMe0dWUj1Sdgj_^VVLMFy%hvGWC87AqOSN1 z9@Xy$6pb|)+wq1)>nwZ-c$mtT=f03k^-*{5(~qXrMPy`TkO{1R=iRLAof<=emJM3_ zt8c&`h3APRvqQEj-R%WQ`=2YCNB-bP{68*Qzw-9oyMv@|3N(73?k^>*8TEiXB4;{~ zwISrQwqQwKAgiw18DU{kUxCLD;1#)l#suXycs9L%J?{|KO;x_>ds_ofE!;VdEGinb z{(p@@4yJi(ysYNfc=5{rX#t!qk$;oN8T*khZ&kh4B`r2f^rX`fVApr=I81f((o zOR*pn!JwhYK!Wsu%PR{G01rr{*M;^xF6$54pY7PA;F1Y8}j63vId3&6UV2V4*4g#JX^M$n~qAd;v&1F#EEC> z2#g2hLd3GIHt;sq$T=PmK*9q4qqI~yff8H?B$fJ$l#mcL^uRB6iM{!~W50eCjT67 z(7Jr*;Qjt#d;M>x4)g*|(+}(`ax-D36S(j4`Qq})J;ezzX-}T2ir;5S;ysf=JRD_c^;@|Wc!S$` zZ+KrjbG1pBHAz=c)v9~uLv!`v8*2hKGmiax&bZ=|y<2%@W^rQ%*PR2}svnOAZ#KMc zXsp4ohWG728*+^KyBddH znC`?WmVsmQ!pAopLOPKF7*bDk%@n3eAzv`Be2xd>g1CoZk+t5_KfyRIfG6Q!u{udO z#tDo_Ea1ty70^n8KyJZo9TE4HJgJM%oV#M?x`4y|gMX^5ZzKIWT&-8Z0v(*Wj-aS4 zo!y#{(~!EoqsuBFH$XZEeRr`zw1meM%-qoHMvVFS`S_5h2LQfw(v|ZNoE`WW6cHIY z?9&`?4Pw8nurOaP`k24^{M3{>UapXKw7l=m!@2^rgA!)`P1-SwTn`y%cAyk8JLHG`JMX6^?hQ3 z^wSAV)+WC9!w!(#=7AC+vA;=N-@3p3&RufJpb?-L05S{OYG(KbiU#+Yd@CRQ zU0PDokJ{EcOrq{+{XrwNCKg)Pf8ZTcgw0WbCv27_V^c>vHgsO;(N4$JFAq0TPXfRn zT?JLl-s3R*Hd;g>jWqdO`a9MAHW3rg`%2$;YbqU5{q6r0N`T|GsbeHtDhTyDfP179 z9B&64Oe6;rS1}pVq3a}fajeu9VraCt7g2QX48TgFdEXFV1*s7MK%;WUwV&s1=QVvJ z65s?$oGHWw{~xR6TCfY`89x${`x08qEfDP1LVivMO&R`5)O%!tjUv|rnPKwtrFEqS zAhRIFjfiQ3NtH%QDvu|Y)9w6uB3y<%-=5=!CdewTG!QpGPejZ2`&w?| z;5gtr1#93N@ZRL-N4#tm_7H4-TA*_apjf+vrns0!0)68b6U6TUDN)&a_Ts4h+S*6I zW)s*+Ob!0RKVI8YtgJCqW?%?u6MBHkCFPpnfkLfAnex1nqF9j>Wu;f(9U@VRFr4S* zZr;3^z@N6Zww8!J__G8fMuKwc&6_tZlT^@k0=V-3e6{VC-^P*<1k6i@FW`$L<_w&h z*qwtgzC%V@jU5UrEC*QYb1Ec38Sn!p;F!i~#O>oB%v>bC>u6OjuZ5CMuBzlemjOd# zpb7=Q*Bu8k7f=a?sWih!Esu}wOu6(3v11n~u&j|13KkjwnALHTpuX@0Oc6=^a#BELVhKS#@% z1ajUZhlg!RI2jIr3+C9t@Kuarp~RzB`Dvc>-TD_d|Hmo2=6{M%LU78SumlYa8-H+5Cug2)4blW3^7s)`CKeU7gs`8%J0CvrM^8Aw6&ojV~&62T+KiU07~ zU$YPG?d`T(x-Ok6^KQ+MH|rc)oS$^X+?P1?4LUi}(?mINqQdztBZ7<82t zrt}qPz2+HmspIva;_q;1>EE@*QbxDZ*ki-_x7)_z9<`D#0#2GEUdYl;Q1J@=11uv7fx;U^dA! zhSS#f2;M$P!ZkrG#50Znd(D{K*$9vRh5hPhufn|(udY@RbNe<&X5VB_spgeQVDvr^ z%x;&I6oH6QOC+|n58sZHkl%4+UtA+?0DB~HRK6blX}S;raYt)G$|1-QzH(B0W`@HX z{Bc>nE%W*9y~N;xdwDD98`-30>;{GqG{pV@>lTaGJQ`H&r%5bF4!1YV_Y%(-_cGX% z!&kgKJO-16fTBpd{-3k7Z1O)@@IPx<0yv&tDR6mvOW;ollu|8|C^>n1$mqeR);`ca z4MX)eb%A>|WlP01u4@!Gp1?5&;~sH~ZX5YJ_43$@EpLiJhp;Cfb}$abPoaAlZD5gP zpE&Ru>dW#j4}c8+c|h@`%_$>DLFt|7i}DRT@&^o4hf+?`o=YU@Hn%??QCrqRny0SX zDz<=Q=kmlc2zqplw>`3vb-CzFLbaABu>3r2RkZIkk+5rs*%s403*_`f<6fnwINM`E zz#KYg0~A-sZil#d*6UZLrO}9fmc{E`HB>s};n`^L^%3Wv(I2^ew$&Vz{A9c528~YiaqCxOL*}PU<9Y56xue#oE`bf0UTo+ zB@BXxQn(VcE){&i$4*xx4WSIwJ&8QcNVH>x^h=Pj<`z!x10OoD#?Vm)CngRf=kUpe za}%9CYdst6vpE;87D?E=jP7W;^|q>I**Sfys+-`cejVQo0lL7w(?N3X0oNyLC|N2z zw_M{tltCfs8@<6%ef}g8SdOOjUiz)S_)5swmi_l0m5bXx1wFgUuw1_FUc-Jp-d-szah(fO)VVSyuAi>8M{7Z2y1Z8`HOgj5uzKkS?`^=ZK7@lBV_~^n|gH)E2 zzhu#*7YrR$8z!IxOaa3VZKlAsrM9! zfP@vPXW}>8B!tI*?x@$cX3Pue?6&~@+*P!g ztm;ECU&b!E}1Y7Q`$TasKbikKedQ`0bDA_ z%^0Uzc54uXX2KU1>-p(f|C6~f{YI;f zIaT)86o2;KO|r?Xq1mgc<#IP89xtx0j(@1Dq+Aya6q`Vx^n_qWc6x?bjNcDY`4?@^ z+QhH;H@?$5-ymzG#@`di*c9B;>b8$VckNLsPAzSNwOv*L34T|u=*?f4e4ot3^*r(W zkj%~c_dUOQ&Nr*fBah2T@ukc>jJxemk4b&0!lQHHU9E^PO~5%f zf!ppeL;|>9%M^wr}Q6o^;9`(>LZdX8%U0 z`hq@cvF%6?g^H|qIP{wvCfSdoWpKg;+9boIf1~UWB8*}mFsUJhFF7po3VWhsN}N=K z<@RtIMYRo-praEQ2882?KEmgyd)~}6B}z{?Vt2F0&X=aOm5ug->w;%x%}zDLTarAL zh4IN%Ij-BG8PmNpu&$tKsw|xn8iJC zX3JsK+xw|RBYo@3b0Bg|kwk-{#%TonA(QZG_8E-T92^||Aen`Qe1J2MYKY_^F%Eh@ zmnDpB^gO$-AT+t~14PYly)>z(vGB8WZ7VSSubU6sth|0E${L^*L+Had7ok6b4-Le; zsfS5!7W`}&L&L6L*T7lnn%YgbIb^Q>^AK)uCLTWSP$+c5%)XPDaX(fX`8|D%HKSY` zFptxMVnmcb{&iup_p7Z0y71EF)Nh7|6Zs0_;tKFe87cwlByQFpw#c3D?Vq)YmE?Z; zz2xNx&TWMg_Qx+%QPAs|Yg7TfMDz$!9a?vv*11_{iKVZ1?p<~J{@Lm2RLw zjUP@qkXm|+q3|?-{zE`kr07B#(~GDA>Yv?nr?O=Mh|c(v1o9(C_Cvnvm`J1l3B*<< zM1Wygp%?j0;_P0a2~Wpj!e0@37UbK-dOX4>yK$oc+Pn~Fbf=Z>4&w7k3KMt|(k%#z ze%~kg(iQBzxkcwKzwo_S&R^vo6V<=!$9$gMH{qknn(ANiC-*=9A$nSvB*x#kL8EkueM`oi}Kv*Ft;ip={);&Skns-t)Wa8751|EpHUpP)$yr~uLo z1yDq!4rBZtsgq!%L0}_Up1c6W*Gi)>P4d@p;@R5SUCj^!bevlkiXg0gkrK&i(LP6m zsuV>w?oE(44$|40XvNgd87p?=SzxAx&5m`IeDsmoCkA-mG21-+d`mr8tf&5jNVsEn z@ilg>w5^*We02CXNvNxR!VZx{~)0W zZ)Y%Yj6P+UBVnDk{^@=pya(TWE)bxnr}r+@)vz0$U~YLUH5xmfb|z7DKsfrqTFnlE zYkqNnN%{b7mLi7B!KX`T`x(u#Ije$p+5(;L17l-5ytnksZT*Asiow-ilZ}b7MjFg% zYu7b%NeB3cFMK}s$aoJM9ik$nO;v5?&2gc+;%`6Pw>vH_j^S>!A9GPEhRImZlF8to z-(gx$?UgND8p*wa*1=>?;Da@O#aQe0+)iUf(St44XX(>jM@z0yItB)zM)+pWe)URN zGw+Mmo4*SSKTe_TCobm+-{VtpcHbu$DC`?I9?LvG^o}`y-V__<>icS!WWJZ!Z1$QN!@d;`!M-4c~>e zT!eWpFVC9LP~?!XZ4Xq!Rt+=1J@jeSr2jYpl`e9&Z&`HG4WubtIFjs9@5@NZ#^@9H zao6*ZU!QQEAE_%qh|7D-rU|(GQ~p!|iHnB=RTeX*B}E#mnM)(p7P*#)0B6IT5 z)%U9puj<9AZDSd$30;UEvyb_6wW68+vC`0nCeL#l*4qnhtaQe!n5gml@^;}G?N9PH z4i5DcOWb~PPLC?|{2j9{(qwKgYS-FLW2DCLNK&iNN@S$zzyC_jRjNu-pzhJGlW}#Y zwrE?2ovrPy5sXR0t8l@^uI`WGK_=V#8LzvJP?_z@G)(m!QT4=gIj5`f(Z1X5eml6` zl}+_KB_y^jFN57<%6+1e&9MlGLk6Zxg&mD*RLj$MpR2>%a7#2X+oxeyNpCp{$IO#M2jlHV z^SBJLOTU|x{$dcLa_rUvhNL@KEejzpbPcKh(8rl%Nt<=zX&q<=?^QZGd!^@Fu<$p` z0~97#0@@C}_dBK5jePb1L zh1rmeX6jmPxoM(kJ0@ks;I{bXot;00ZKw{ia7(vU4L6lSZizf2NsQElP1s#LH~Yf2 zOMlitsSbM&Q>gQanau!g920Y6hckP!q|s0%{Vw{{5x<0jA^u%%>JL(FRdC-az&@gB zYg*DfyNG*dFVYCNmqhBT(mJxq^}h0I?yo@GmwrW20}p&LGKfe9_G}55zXXjJA1)(v z8Pt0Svel~Jyjcg%zU0cPDpVLP`Bs_$J5tZv{&G81bHd>Z)sPWkuhKH@;*9`G+8S3w<7>jravt?v&R26(G~b#>SOQ z7t_?Oq+)Lf4_B=#Hq~3m5YRiqB^tc*Xa4Q6&{;j%i8NZ?1m3>^V~h@OqeBcKPrfyO zL*tXYt~YMq4Wga>Cq=kJ9tQK9%S6w}AC0WKP}WK*dUT_+(!73y2-B9^)I1tD){C|7 zRI-=s5zf|VwmQC22;RHQ#v`@`Z)dx%*~*REceh6;Y!~kkiPi0&u<&YlUTS>o(bQk} zl^~)!7G$MP{Ok+V zW-J4Lqk&ipN>p?)kTP3tC2BE~y`dp{iH@P})A^YfSp1-fI0 zU}y^-M8td&WPJEC107xKqnj_qUllu(7Nn^UdnZXy8u2_p?hFA1Zf&&4xuYq7D0j#O z?`OfGZG|(Jrul2kY_l{Y;KX1|`(p}k6X}({s607&?%-Y;d4ZzE$j|sdG4U#TJD*#% zy-wYP(e*%lF8=vv0)6mu$y`jVhB2Pvn9_$o5lqr3lEZN*-^Befgs+F-k9gZb95AP} zcEg*NkdT1sEx=S<@k_~ZbMqXN^GWS9UKcNhW@ZX)*rFVUuY!&w<--^z^(Q_BN}Edx6UV*e=eo+8l)NOC&S&O)?L)j_g`FCK3&swY zn#|uwDA%*vYOFj6*Eo5CzU9DC8AfUuv0B0PKg6_*I&J7jj(x8?byw0&NBV>y{d_@? zu4blMbGc$-rg_Ppg`V)On?7Hb#d+1c+Osr-kHFLL?rR|j8#Wp5TT{Wt4ynig&UQ$N zd-S}IbY^5&>=azGALy>rOW+!O=aZ1gFkr`b(~66b;z&RaG?(1(?3~jYK7cdJ8r0k< zq8E9T&M_kKGBFz^%3(OH%2rpFYP)P8%_fpLa|dO3UN&uE5I{Mc0{PL?h5wGxaZ-Og=te@E8`T@LS(W(V%lWx4D6*eYZmV{ry{F^hI z_U_%28Vr4;Oef}F(0!DEG72NB^R|utjr^64~SJzrtc- zqjzMd){r_}_?I=fao-8#Cv`hfkh9M=jN_4R-4@dfmIbKBOf0hc)UFuR-@ z!I9Jcjsa2p;M8v^?N-H2%_n6qiDa!!KvBZHy5aKA#c;<&`p%1Y&)-vo@=D~# zQAA|E7pBfLm%N5*S5)ud9we|_<`-I@*z-#?l_d^YG9~_;oJN!FpkPn%rEZgx`;?Y~ zew{Z&XTI8Q*9CMJ`z52gjhn5?b<%z0=(}7UkXjG60Gg=lY~FR^X+J04Bdiy5|LV z2KZC&3PX-{p;mh5>I2;PYX}UyFO!9HLcLrhXys+#F9*}0P5PgR(SxW6p%kmG*1)EL z(7l@GW@gv2X__CuJ6CGiTFrB))WO(*#zY-=9X|ebOlgcYq;9Aau@=Pr0&Lnt^{yE2 z(uVh2GGWXChF%T9rT3QeZ~&^~5+JWIM2rkb1h!2|^i3?>vf6H7!+)NaA{{gnD#!Rb z&g80&%wvOf3Rx^wRI+c=Psg@xU@JT1S^HgY&1DIDpzL-NG6u>nwM) zr;HAsxNiA)U9N0tNsxy0Lx=oJ-#&ur%XpGwyu*{x@TZ*N7sU*|jZ?1Myo32y=KIzy znn-6nIAzrBqo`f?^{a1O#Qo6ZLwZ;JqV#be`bM0l;zyM+Oq2wr$8;iD!4z%7rHL z-H}-fKl1ug^A8a@t@bE8LZf`HMJW~b#;VmWPF0)m4Us}QgBpvjpR=)D;R4q(Oy5Ix)7`v8ve$*q@)B7 zv7nqBJFX0LE~}A}Z2aXU(Fna!`&L($(R*(*H>?NVZ&u_m8eRDiuM&beX#fg&5}!)3 zL?Rq5BO~$0Te`a51c!?X0y>a25UJ9T@NW_f3!H^QfiyF7*6PO57EFMUfD+9m88A@7 zaA~f~Axp)_$0r?G#UKO;U5sQpV%Wv;L4G;gH9@@Zng_?m-bEB{%s~4nYJ-{`w*hJ7 zHy@C=RhGkc780tCgiAg91ZL9O%pPp9bqw+yJ)ofFB_FuvlFcn%4z9z`EA#YdWYd2f zdA98mwj03Ktx&`gN_@niiaFPjYJJf6qnu&;tTwmP^vO274g9t{gdSSVuqWyG89Zd|Tur zMSd%()dWo-=aXa42vI27n^|n!jg8x0f2eedev}L9YEb)DbTk!!M|sB<3jQ1G(tHBO zpTM8Anz#;&UcrADr}dkIe3>fVw+{$A_Ll7?sizp{LSN*-Hpduh`iJS|*cwo|7$&T7 zL!l5eI5w7@O#k>a*>65Zpa#z+D$M^C`)pDbJ?{&ghU6SaR+3#$dp08ApqbsDIt?0* zxcPjnexg4eKL`Q12u}~eFiTKq@%|l^^Ow<(E`z|H4@*+0ABT;KBpZVDNgLvR;{Wx@ zIN>7}$$X&)s(G068o%;Z91Vzl@_C`%8-wYap=?#qP&PY!GPO zVgkcUk`?e1kT3$ssDq(Mj;{Ey8LEUoccb|-F<5Ovn20t&yL>n@;60;9h@%Fk*Q2ylF#k`GPjNMO)Mbw?O({}>Ne>KHW23@B0VDp>m9p|8XMG=&%gD?Fzp&y6y$c0-TsQH~H?oHN}U(puNShA5}# z+8c=ofYg7k?tcA@D~W>+cMAF> zYQ3u=KM00GAbExl79<>h+Gb`6mMZkioIE@yh7@<+Ip|J8dOdzs?BktKH}|`8_u+p3 z(N_xDB=!4}ofxL3@U^^Care~mYY|1b zb?rL&I%C`kP|x6X*#~|Bu~xz}N0M-QUBWi;_pgmrvgUcsW(EcZPqtzV($izOf)|y8 zL+%-58E$|4UgH?EN76K3y*}){eq!yM1Qv4q3$LAEW9Mqg zQb*|0CBPN(`bob+%sFvxrXyGfSPv4Kh#HVY@Ft%}7YkAIqWC))K?S$gI^!`eI#7z> zfGC`xM6pYipL18u!jWHQH0t6WELA=GxQ$tYG?+`$MBBM69_9@t zGdPxAnoOg;B3&9*Z**_JqNL0b7QN@{EQxrX6;ono!(Aq#6YK$PoT_(~Eg--n?b@f_PJX z{NhByPwFY(=g*<#4cdL**zH7LI_!5U*wYNKECO+vaU&oXW>W2!-UNL}p!d3j41Pbz zOflNV)QWXO7Zz>9#ZwD`TP6G`@D|Ja>PdQzq&qQccHik9m76%h1`a7@8b95hP(}gM zAxR2|HZF4|8JVMb1J_0nP@<5Y6+LfurXn|8ovmB9<~<)&J$bNk?=Lpmyb|9=b&na+#1|hB=%=djPq+ zGP_%ql3JKq?&>^loS`DgV0tlj7>}xO7*6zYDK*sJaD6>e*M;-CNbdsnD(a+j=U zy512}6O#*9zr}k#@*(*r;-@R_{X^TH8fl_hB-F(|pFC?{e0DeUmc0lheZp?(3TZq6s|tgoqNDlI~8 zjJNkLqVz{aE#L|$9r3+Hf7f((mx00k;e5P#Gd-ls|Npdh!VRi!t{&%6jd&qGOGkd^ znKVouf&kQ;Q`Pn#JGRj=G4#Y!9lY1Dd+p$=dt1FB`?-Qqd3kx2G~;AuGy6xDZXLn@ zm%UE)zJn@T!Ckvd9ZqUat_`T`92*=A#5Mxrc6yFDPKp}OhP~W%liX=9dvJBTCSw?x z8tXRAwlpIB&4@h!oOo#L0jy}qT;J1RswEhG!^;e`;-nW4M<@TjcI|~u#m4fR*tI>o zVIbR?)%RYSv3dLxCT%D&H1K=>;Qb#Pu~4TH?Y38i7gWv)8LNSP8+yV z+c)vRQq3;aj&}>ht^gcW_(K&=WCJPc%_7><+2St%{bpj!-A9}?G&BwbN)}5E926vO z?Xn7CW#xMgIq*dXHgB7I>8>&bFIa=86BahhF9^-u_WFf$m*LP#MX|E?6a{;z28N|6 z6eJ`*i$dEinYaSf3XaE-uM`QOSd~IS8Jc~;k-P~C0r*g*b&EcllM@POZ8`+-_9Hp* ziY`3Bj@`j#Ti8aG=DU=s+%uq4_$;f76LnV=&7p_6f0;)@Xr!eMm9H@jHhem@yPdts z^5z8&>viWh0#RT8(`r2(&cO_?z?9_8P7%I=jS{*-oz<+eNWJMW)jUPo0R~~N`nb>s zxe$VAHp#asA+Zd31$6+XpjtoaV7Kt4szs_V-f188q*GqGPK6XoQ1W8wlwQ**z58j$ zPb?SU15gVT2rwNx=Y1h1Lla{Yli$5hgNM(o{4iDgD!kt4*^|wDd?aBZxn(tTM5Iwa{@5R>(bRskJ zxz9w;Zi|on$UegaMZg^n?J5{j@W|9-BbtW3F3JBK-pjI6s=`_ST_Fi;JlnHsT0%0?n*~){f;9du~iVWa!Q)_pHfSoaR>PSFm{dy zftrl20d;cc08}H9aI3#2)Ow`g3Snr?S^gDazHQ%-IHb&M=>O{}5@EUSKksn&^wb9U zz5sWcD=tTE2Y&e8_|W-Eiw&QA2*PXv(5L`X$YMUIuRrqRb{_1mczk7jw*b>-Evq-{ zRQv}?bBtpc>RD#k)~`u)XvAk6u37{%5Z^b9cEG3i)p6n81t?jRc395jWnlYO+b_SM za`EXVWWu8lb71$qC$7J-#&lr~`;M~yS7gW0!|yPx`ySfKXvLK-ht%lbo)^FQZGZXl zWz4YIV*lK{!jFi@j~^SDnQi|&pn94sRG{vHKffgQ`gLj3EOMe{{^+R1end_L_sy~$ zC%X)|K@Mz4v$wcq_~M?C6P|u82+;_eMvsuPo zDS1|lxcXPb?gSGlZW^*7!3nApyLZe6`a>dFgzEO_i4zA?q!??`0A?bB>?)Sb@G`If zH3;`PnrX9~>|;e^@jq{2vmM}vvbBcbiLr2|q@*a@h>q(Xx3KuY(Dd!{dUWWs{8GGKj+vMY z;p%{wk!`bH0)zHZR1xi>L?H#TD##tO2oGg|AoxbD@Wb!vy=9&!>kmDabN4gd`l1eV zaG&0DfF^W^nmkf+9M(|_j2M|qdF1FhwLUdh95;?VaZRo3k3yAN+-zFX;< zHW^Gjz>)xLYWS-X-py9s&Dp=gC%%6d^=>|9Y}^mZ8G$fDtJ*p`iN>lRME>EpsNHFV zj0b2~xs<)7acF9MhWjGrsD8^!$Gq-BQF6N?6x8kCU-v@S|LNJ7Ve8}?)NadE#JoJ%++=Z}(omZpx z6@GPM#Ds`p3WB<-aFOC<3&hwv`n!pyMuCVqAi~f&FM8hc1?%G{FzRO7l>>|b)^^V_ zsOG(Y)>i&=`89&?IA<*_V)puXsz>@5i$1%?UTAQgPmgCzQ?8&!N2UP!KYV`C;e7j5 zJXr45O*fxc(!O42-qX`V%Ctz4I*AA7h)GcR)Z$S7AUFgm-FDnEj&HZ|V>;l2=sqB^*(pNSSM5BnjV~EK4y5bG3NX9j!J391Zm5z zXJ=wR_%2TDhRMu=Kih?cQxLQQP&Tr*_5Q{tfVf3MK)RlKexgZE1AePrD&A>OlbTNAHL?X@W0ZPKkH1#YV zBkH?xn_k~>35&4p^DmeAtYSZ(Q4>0J@Sq#I7l>Tq_3FxA(A!UcZ>c(G^hwuDGe35B z&Lxzj5!}7^%Bnw+c>ovVLVOn}dsZ&4FoX%-^ZI()wu{oV*96%d7~(^L!}4IbuEqZk zD5?61Qn7h<1-oO-jgEFpH;#lWJU0H8t{GN$XsC_;-Py)6aO$xT5U{nw8C;1&XOA58 zXxw&{mLqaM?a4JiQbjoYM~Y?wtya3Wlm&=n`~tF~!@e775RGXSD~+lt#hQUF^_vs+ zrqe0m6Cj7RsKT^s^&pK!s1?GyBk-$}_u|&U`+!VYFQvZ%EQ8}1&An53@4X$+NSusB zT<+vMpXLjU6~9A(9ZOSxS5QJCN;%)OIl0>dM*G5McphnUVg2SSJdCvdvEh>L_)kY* z%izEk?1-R8I&SfuJ8STy;*!@blLx>+nj(snH$hwBZDD~&$=2W_PI<8V+)^hOE22{&(;++)ElhC^EL^{m}x2UhwKn=cW&=dA&7a`!`o zmGCrGD$C*Qh8`+cmxm2L>vBcs-vfP6)-Nle=DT+DbbBRQ-@t#54vEx z0lgUYZnIm>V#%IpXSD~+M%_>5{2zZ+!fQ+o3aIT>IWqO&d}h3x`sE7lyQE((b~#&S zXXgoS$KF|h2^Q;FG}kt&C>kZFTXzo#6VkF`b;U2X`woa~ka7*d>`P~W)0^$z`&gYH zP;o)kT(e8u+2<#|Clo^qWi1cMtVo@?4c^@Tsezg@hxPw?*DYUHTad8+8U8QlpuGjd z?=D~Wz4Nzj*oC?TFqnCA`_9{|PohRwkz9Jqj$BnW$kIrj-7fE`t>pj5oM?r^p2SgMm3`!J&d*L}q`TlmvyVX_mGs@S)Fz_` zounxf8MN0DmP~7etytNw{m^6VwX&8@4zF4xvT0|6mX@@aJA3m!hIs#tw*(_U>al&j zR@Z3ucIk$T(T)~_BwN*7za8l^>dU<4)Ti}Vx_HXO@eON1+D6*7fjwow&y81tSn>at zkO=z7n724h{<96{W!|i(FHNsQLnR5m40~gZBmD2;qBS-avMJ+buq~|pti~E~{W+ns zkhUnhJxH8FhGINSlmI}OKO7Tros6`9gZYSN{qUk=M{e?)XPKDkbQ3IeMD%mLj_X&C z2lt0w^BQg0=avkA-ptpYV1evvg(>XByoAkPcxnjg)3i;_$rl@l2NcHn7Hm>IFFhF` zqZ9Hh!1M-FU*L<==i&>tlTD4LvM2v64)F_PZFG1u2|`ao1yEZ;g@*-8ye6_F$pOg6 zraXKn@FZ9d1#e=3Xeva|MHbr(r7YO85^J6 zex0q2IqrZkOSl%kNIqoi2f+wILf3;##lPLr-|P4MfN(VqGnP%8LIFn*dW3j;wD+>f~vU| zn#QevH&mb9iGgP$d_i0)zVhe**zWlL^JNQPU*8NI$$Ng?a4Kp0Ol9BtAgK#NPvl94 z{E=yGZ7qT6p3)THi$@Y)1UrJ^ZU}T5n$7C|i#rBseF zhgE%M)&eo3sgVYgsfCCdBq7q^0>v~->RkXw!vs-{B6EVY;wVmsZBF6i#&04X?b&z& zh}wXBTadn{q5J_VqYa44|a2~+#!=aD=)_J)(i>JqK>pu%+dF4;cyu+_5#It(B6>>X{pAw8~ z^yzgohrE9h}pdwzVNT7_FBV=o3K)J2e%;I8y$~6J0TI|jJ-be*qHcW39VN#`}P zn~L=?H2i(Nx}?@yfl)SLmz8G+r6#35v{#_ZFXfIcsDB*bED>*nKSs7+9I8HBem1Vl zF#coTdH0JK>yT7K40t%YVf9wVatj!5aMo$Dj23XzG{Wuxi>3o$$Ek?t#Xdx@5KA+#jXfLL$?1J?j;u|jAkA(e5MPh-@u!MlTc6cOF0 z&{JXI3`7RcsKUgW#9A+N<}Snp4Plhe64&^3!-e|i#hmGecveGfBRlTQ+}MAV1Ac@* zpP62$mTc)1$9ztXQ{DIL9F-%tUoZ4Nsqi1igQpryUciZ`q2`kH zGDZ8HB5(=KfU@Y5DZ>DH&^C91YX@#(gfG@>+oXL4r7pHC8M= z;XN8GBUf!jm@(<;Cr&ZF!{Pkq>`OJBAK1t~THc~=vh4tk9Hyt|f|8%ySyjr)ZwtTF z?#VT)Vx~<0VIFmrjna&S8HjuZ`v}TA0yUeZ3vI>Q67j*_N3oavfY1aDSK^iyECiQi`( z#fGPl#aRh$1`8+WHQbf`06L|5@lF)pmkQzSee-|xdy&(u2 zKR|~eo1~%uv>M{hHglErPxuzn%g^Mq#c49g?*o!>b%2y1aJBK!91R7sA#$XH+LwW? zfZBmB;&bMsWfjgjb3k?nR3;I49&oN&P!a$E90^J%=1@yHfVmRqny~LT4gVGxMGkcC z<;?9Bk1$yJE)v@&qM&f+(sv7+>lto{tu6mf09Kd>gP_Qb{2&w3%{RYLUwracmcrs< z4EWZ_&ASbyt7Sl@5>3OxuW#S7JER-89J+4^7nokEDjzPYPiB*-RY3VpH3;!3L_si2 zjB5`dEfRTK1oO#%@uD7F^95U3Q)Ol4DNLx=(2o$Q%f6$x_caf8vtU!hQI-xI4SiIk zvO8)Iw*q9tWUeBm>jdtHzm#Sq?d)~Hq2z|g0Y&8d@bR_q+G!o-AQ81-F#GYR6IurQ z-?~X{BaFc0RL^2bUoT&u6Ug%_{zC1(PaPMug(9;~R8ueB*B54~;-fFoyn6Na-Wh|d zneVCZ?cXpb^CCJ}`F+}+N>c!IKKFDaE)MWvg0(p^eqXS3@JPwdFTlout)!_=N!%TgR^E zv%k0nw{LG~8{`4cvN@oxq|w3)uw&a3lbha&h4DipCr$Ru;|~kYwYRfNht(4bui-^f z+qg&P5wfyoPJQ8>u@ktkrS4&qPn&k1?U;fx@(lZ-G?r9U{QS_0nZz*DW5V4hl&lD- z8pb0XPwP^iPe5MQZgpOp!vK(>G;a0p5HpE=t1oH1pO#knP_=N|c&q7^EB%#Jnf0=$ z770NBds9}S0}@1_!A2j9Qs??Jhnz=inwpv{my|@hYE-Yi-@X2PcY$h2ok#K4!hBD` zwm1}lWI&H8(%9iHsyR#eK8P#mdAv%+Prc;8#3jPlVF*JX;}HUuTMS7?U?{`~2=tBt zEnMt2o(<3*qbZdUOlEB4D{*4HJ!6d~Y;BLXC{P>(o=FJ+)5vxEmNoV~(RmHbcu~qz zR83k@2k!@R-m|2Zd1nySuE#bwwRU!EjmBe!Z-&W?JYFGgp%N>aJ_AON_rfI%c{lyH z9VzK+I4Jy%BG-f2;tOLfC~g~@ElTKJ1v7sr*|H2_I{&QYl(!~l{p6E5EGpY9S*fKu zoPJ_UY-xyh3fm-c;?^W?mYhawGNuH&Me%{`%KhXI7Z@*A^J>!71-&3k%H?dR8K@GeI%fcB5}J%|G?=2uw`Izhyn#iHUrjKJQU0XmPAn@NkhZo zl4N}DE_6}AJXJ`Sn#V_i90BkR|BGzuPdfQRW5m*m ziw2-XHU54Qumi&{vhsPs@oMAeltu*rCDFj?vs(jt?`hQK{uaUA%1-0#4Wthg{QkfENq51OUP(n0=1p!-B=2EANA z0NT4n7F~-3xR*Mq;#WqJ-=Mf7UD%#Bj?xd0KM7||FD(4%coLZq{Toa}E~uepfW+A1 z0E`hXn8uvAM|#-4*%JvEOr7vdX(oHX*4JTMx;;G#YlH2{iU#%-FbfYf`=IJqHg@oLs%Dy92AHUX4E0b!h~nm<(#{S!wzvl z*`Mx$QhzL$-~rh#)??Dp40Rzmbj(wb(zQju#-+F`oUIve=J!3P1CDb6$C6%Hk_MVC=8m0-PGXzFwTPo= zddi+Fl&d37+)U#`I@UHKxfv1Uf!jB6zVc8E47)vxJ8t?L+~V6 zeEBYNd*FY=D!pceoD2Rj#W0Gjw z`8xAR_NX>1mLfDc6ZIFCEBQ0L(FcMNUrK2a?kZS|&kt!ZTypk|XN&pdUoZal^S1VC;3|+i!$at5)juKkJsHa3|Bx54!MA z?e@rpHjLB!LAK{k;|=OIn}2?KaPvmTaZuDyF%-BD>EK7Xre#l@d0?DHgC>ZwG58oR z9z5$Hf{9$)bIb_@E`eHze*wP&;34Rtm=I8-Wow)DVF4Mf30Vq_Y-DJUu9_8mg%~UR z@#|*IxI?S(DtWKM(w+{0V-L03xl?r9^JbH~KHsX+ekf5C{+JOFK{w#f6#}}4Tm)!s zpB}eC|3_f@tDcuv&?FD-nJ1$>p{?ksIut_-LPa(`GCugs3DtZ0ACt-7wfi*m`atDK zH01$Z-PY~nSS#_d)BnRDMWbn0Iv<9q7{>sfynT0zI!>NcGC6(9J?b)EAz*a%K(IV- zJjrvlw&DsE@0dvH96{rraT@A1aVjAPlIYM`P~3pWaa2zbfA)IJ^f;kEnIYX>2LJxr zKUHuC+m8Us0cRY9PjU#NgfcJrIaSUX+Y0=M&0wAVGp0l!wc~ER3YDpnDX)qHC+l1pg8iD|V7{!2a ztf!EmNd!84h~R0>2JA}eRLI|qQ4K<~nY-sjFT%nGod9|0u~yLYOpzR9JdUw_z=(wx zV2Axp+II-2f!j?mOO$g?r2TI$VoI8ScCCQ$@!3gbYD^N zE)VpxCzYv50&*fIT5OWpLfg}#kg(M|uj7LL-0+kcXh`gjCx~4aY<`Dt^!MUL_4B_X zxB1w5p5(3B@Fm{ZHjPVSAdGqY=}z_6@^QPt36>g*I$NLX-;rWP9UG{7`&){wN}L%! z1$Yc?S*o~;y~7MQTgkSjcm)1<`skZ^EjvdVn@89H{azePaQZnVn>MqthDz-@J8g#& zATBxfHzx{aj=T}{QZ;G3wKu|rzUNx`cB_0M)LKB^z@Yo~I|s+L#*2~c3h+{A{RZ)# zsbfZ(np9u0dlXtR5bGehqoDy~HUEE@dJkx>`~H8NWJUvJCz91L6A~&TLRLj0qp~ZB z63X5qh0JUzm91e!WJE?}Mpls#A{E8|@w)Ec_niMZ_qoq?U1faU@7H)fAJ4~VVcN9^ z*|8~#o{WMI!q5?oybX1`O4)a%LjC7QDXzOS)6;uwo;=eYV2Gij0MD5*pvz4qVSXg&rYtYn8&O-QvUdh*NY5GvQt}r<= zNrUV&^#y`i)ZwT^i3tek$l8pt4HcIQz_SQz)dQ$o&l``id=y|C6&WJR3!Y2$#GaP=Z#B z;oO76FA+Bq*FW&h0GRK8G_wjKJF&tAksMZUCyHe#!?(!71_oS1L0gg7m>3eKr~AlI z#l2j{VibqZO{Q{eV7`F`Aj471l&MnmmJDd`YTI=5SOYfkn(b_q20tb_c)xSs>&*^t zWVWI3N0&4ob|E{A=LJ18*srY%b+lCr4iAMHKk>Of-_7tThUy3?Zy$OA?)UfNo(0ct?p(sO2#Z$;Zub?8*qzW1T9f1uK{-^LTWy6!yH zWt1VoMv@n!*?f{2hi)bnDcoNDl)CT0TzAFYU}k|GY)m`qR}9DHrM?#iDO=Ed36Ig@ z|DM6_6!!H`<5I^Sh>HPmE!`QC|8bb|*ilO6dB%aZ9G#|2Z4N`(TAM-VXx&i`={hF^ zf#fGf>;aUWE@F|Ge}CQ*dQAF?b;|qrWa{5VonIA-5hd~C$55p#4Gm3~M!+bJ`8(By zcr;F^`~a;*3$Q$b;sPBp83RNrE(clrY3b+yLjKPW=r+z&pW%wWf6Z96B-)5u(Sse9 zt4F~_z>=olt8?PS_^v;{XK%0NcHgMK>4!77e7=qgJy|_2$2-Z%Oo-jWi^D<$Ln_jN z#79+#eL6b;=RkLcjdM^Wk|7C2g1uh1ORnk0SV-oHp8+AVp=kn#5@-ijgHD$*;_BuL z*GUhrOq=JXr~9y9HxAn+YE{7jOZ#B-3w($+$95smXq2ls^&`U&!1Pg{p`9eK46b!Q zw7Zh2fJ^vWr4zD=7bEIzs8--ujU$pF;3Mibayj4l`@3N9Rby)_+a9h14t?wdIC<5A z+oACn3Wzt2jltGCreImMUD4xM-;rCl6!Vf%Pkdu95)MJT$kxnY?>Y7K`Hk_sO)!^8 z%OZmq9P-35dk6!Wa{3F;o;xB`+1y5`>a{wiLP1Wy;EF}EDP|Q`Kd-Ia2GqP>RS%k# z4hdcVfPlL)A26*MluQ#ANUIEXzXhP_=1MlEt`?|Y#-114I@R!k3kV6m`NAZ{kiFJr zXjn1wzti+3)AZEIlW8d16!PAK6G&frVIK}PvP;pEP0!3gj|?~(6GE4}B9A}X!TQ_e zVali^pd`QqaNWTMzgxQdUL*1}X+F3bzu2zj(4Qq7a(z4e83>t3I-<9yXF|Z`?tjC$ zF9U4T0_U_9vKO^g*r#T*^hIWSDd(otG1LJOxf+s!V~Hb6kDwZW*~&3B;C7mqe8eb- ztJr%*A&PRvm|b#m#t+Z2-IQ_e9xiqEG`pJJP)PAc&1uF}7Un1z-`{~d6H1JuZ7)bY zzR;)GeQ*(z*i124pA(0K0_)c8gQaIjznfgHpvL3(^er9cXghlV;sgGu&8?P8X5#11 zhry!(-Ab5bzVtME`=@!n>s-etJ{8Wg>=$9Xe(-p-_6qy{-t5vZ@~t+E6;e4H^VMfq zXg2Wq(-jF{ZrD*LXA|*|r{vA*Ge1tzwh4Oe^x9-CP6oXLjgJ22s|srLkK4bj6Qxh6JZo=-wqxtDSW! zd-BrTYc~oTS@H32Q;FJm+{AVKSG|09{6PGGu~BDvZ|lPJ=!gy$VM~0xbL*e&FMQVd zmkED$%!t2Fp-mW{P9OWo?W#Q z%fS}4L0gj69b|+$Lcm`Jcn|o79}0N3ZQF+Br-Ghjy(9IgdCW0^^bAR8Q>hIWF@y*A zBOf>tXgot0aIH^mJkw_O5cYd2loA{3F~XQsv7lbReh4+E4XlZSm4SMSBP8!p(HfE= z?$RCOOSUR?-LA$^0)TyKY5u8q?broN*Z=HO=6$R-nK^XhPH)V z7!+6bYXV}}0Ffed{7v9j#g_)oSSR*bAqt5eX!Q=;5`g%S&8HmRtNK+oZmOPre0#sl zyy~c}^H5brJC)u4aRDeH{R&yQjdq%5XH72|@ZutZ50|_rJQQI@rh4!lg|-rq^W>?d z>UZxLFwRp&FSDp)NM_6pp`XgGZ-O&D_d%gdp2l)R@CFEr4@Zf76OL>QB4W=f5dk6i z;=Pr)OwG5b;qMSOEHpS{T3Y{r({fv%L*7k%bS}P;p3)D#y20B(IDF)@n_n%5XhCvu zMN$mMI{CCCjFzh(yH7B}^k#U%$bRbJ0-)S#_afYys0As#Y@~~BAG|S_n$yUyHl7fb zWZw3GjxZz1ypbq{`%M5fVOWR{=TfIQ_eqe`>bP*oNKXKUF{1#lVExeiavq2>Nn{)z zwrKliXlnZOR}zY+)A=_9OsGD?_9|n>f$pmZmwW3&+k___sIW55Z)68MgL)Tdd3ibN zwFnHkFcIP?F&%PSx}TDgQoSmkEfZc+vOn1M*6+Er7L|0qxFFj~897hU)EFXIc|UcYO$0z4!kE%pX!}DMPqMdF7T1@RB;_&xlg5? z{x>=q+B?A;8oW0=0Yf47I)#b0t%kjYFnzo;#E-sY4V5K_s)RlpKm34bh{p*d?hx6 zu8k$yFh4(ks6mphf-yuSzfLFWYsV28)z3e+8d<4(7r_5ZzJ02%~4)Z_@N7}DVi^aYEUU$D0i1=4ASnQjC8iBJX0 zP0fAdl7zE$j6t&&z8W0~Kn_BD6Ng$W*`?>(BL`?ub5;TGNE^3c9EKl?YneFbki>H` z;6qoI&Yk`L#N$A)nD*_i1)1YUGA#lrlSIFR5u5q+(9Ojv)b+#=0(D^U_UnCD+3;)a zYB6=h+E9_OXY00Xi`_!lUg}cq7*C_HCA>GFObt$=;GH!;IMhEeYHsz!@$vtX`6#_I zwu+XDE~8r`#&ZzqM#-xDPMWKe-Q_**zf3Y^;q^BaMvuJ!n2faCWRM0$7ZcFaV*<=Z z#>R(16z}M`XLS$jS8mDwDF+88rC<;`3GRqSSG#ohWJ-Dc1uPbO-I3A*CI0S|jQ40Y8~iqw zIpTv&^c3v0?uEt=DY`5Di8s3>`GPhWzIAzn#F6W)!hbthIlGM zpykYO*xMb5t!Qn+s`^dV6K!z9d0m_5_Xfm3V$KX=p>j?(F*Z)aJwt%Ac-FD9dWjch zWkjbAY`CkygxD!YMAV^!2-@3T%H(kmMjf{up`~f?)aiGszka*z^bMlZ!GxW4w!XDB zau0Z|v;ZcyjeyS1r)FRQhC-bFlv%>#0nN#fOVcb~%SfWf%&0G-INKE7!KcM!CfkM89r7OQ`vna)_D^;ef zqwdR+@66@Zd6|Ybe;+Ipe?hX58=Mj@{Wl_t>*J&W*lPWBqLE zVc+~~-}EV}pu9X0lE+TGFTsE2us(=6y4z0+ew{FXF@Kgen??!Zmx73=;k`ClkvN#6 zCU)|9*7Q}mYR-N8RCw+UbSaK=ly`V+g)_z8-Qutk?X$08y+Zjy-i9;xnQv1 zznNC1DjN(NL9Q)$j}J**^&GXAeqnYDKN&BK=ny_)WbIC*9O!E(Z6exrukDuF2!-;K z43;wZqVW8aMul6^Z>63zP~m>x`BJ>*XRoj23t2sd!AK3kU3~2GT=n)Q-~nuVgue_8 z?GQbw%O7=RndCf<$yOIzB=M5E;>3wS%`7amt+U5P`<=k*u&AaJ=Ro<(4|5Qde*z^jnuVrY-R^=^&lwyY^Vnd0#yxMlXp)JN8YY|?qPtVwi}lt{uP z0^sC4E$AHCA$Z^b8%9jyJ=_79tm>P)fb~J5iX$9{xVT8nHCh{?GYQ@tEFMwDB?k9pbm|(JK7;FVtM+se@5KOGRUoA5ScoKY~>swl3wru3HfBd{ly=p z{(*tuFpQw9sm%`I13Zap#7j#s*Xh(ADLt0;Y%jcDp9shq%P8@@?@Qsevjfo-1hBZJxI zeQ|pNG;{KkE5kb)0=Styj!~ycNVj~c%MYY=m}9>n7?mYuaGX7u2A5r@_WH{xmKwva zqG#u>P~_VQQ_LW=Em5>ng!g@aAGs0FV4UGxEJ(EdC71pv9?@GyE{woly)@laP`3yr z5Dc>`K!<(%o=_anJW+NvpD!dNWDZ3Gzn~xu;66WKjbydf#3~JiHeaysyagP7@KqMk?=EDbO069s{t**lMuN?{_eR*t~1A8hT zy*Jv{H;dbh(uVtSz~g69`R8u!tg5B9vCRZKrbW3_2<; z4_+%-dDpYhxIN=Y)XMVE!PC?B>|WK;V>nct9FC$dpGW!?gZy<$?a#=AqsK4R1D+U6 zH_h{(5>||>4lHa4ww7kzL*RP=BM1LGjop}@)QM1HStk>=Ux%dz%E78%z=)T%MJ3F7J0p2G9$21u62~`dlKRtDC z#b3l2#_a{Rpnm%2yvfC%pSRS9Sn6F`uy=e8W7a2^TL!*$e4lEp7v;EX4@IXkRA03Y zd(7q~7co;%w~N{2?74dR`z^n_L|7$U-*372jb>NpZz|)Uj8-eQ@9In%bE|D9wPsw}&ci=jE&AV0FQsm$?c8^u08wsY-`vf&OrMpy`RWVK7;<&*V~-e=W$5+$ve$y3NXWL!0Rs#YY(>sHDK*Jm#EamRlfX=)BPp(*1E07_h3H|*dX`^;JJMSfJS~fmaPS} zL_Vs~6qlSH1IE)^0W$g)Qeq0stqENpE@d`SBtL;TQr+TjF_S(M#6z>b@8yUn^zhW+TV`qQ3KZiXT@?@QCig+^K@%chz2@d+n z%-jEMhon0mo)?<`bZ*bE6f`ex-^X~`)bzbmA!P!c3VIMS)I=wf^lvWw3o+dQ5IHwL zUyZ>ub+R;|a#Eb2N}>-|@xee6^87&7_;Q#^)Cc7It}C87d-JBe(2;}ajIow7#m8VW zca1wrYmp7xCeOGoqUk(%83NFD1r;5V*mwgKqUGpY`LN!(0VT#>cl;}lNoS>}`(SV< zgba6`4kBo>MV>Gw6#1f#5u$yURm3AG1ZCaA4o_6pM?`3AYpY^*g%2+Kul3<)7$>-V zx5emhc+YV?)@SElN1)h)DhvMuRy_)|2YS^V@!rc0#+NSbvrYu{HM7AERi4nuH5^Xl zek>TBUSeVw_X<0$wjtpuhx_mw>XsV=K*NOI$fJG`y35`sy9#|)bG#O5bLB3h*hVcV zg+NSCcb;B)QkAhtyBx;W#W08x%qJ2#3ug*&rjKCZUEY$9i;7^$K+b)$vUUNe+em>* z_N7KYau06vp|`@E+6StUTQKiN3;WL8q7X`NkL7Ox#VD6!d_n9JfYWd0h{ap_DBSPmWL8RX{c0B7Nh9Tl7Mnb2MRVF)`?#h| z&1$&om)LDO*s-y1XgUrF6!?{Oa_+qlF=0OwE*mJ*GqNln(6fA4N8?Tq?e7Gg!!j?r zJy?3Gnf1};21~_4QM*1Ndw3JAjneR$nsvN-PbKbr&^kL)W9p%q@;2`p&Grn&0O6zi zb@;fPCs_A9%-ccxg)U&jMT4|C-|u6l2AT`E1Efpems2#Wb~VTGbsFm&#$%C_8Uic9 z2i3N^dsAN@vBCe1z!15&^tivxghckCT9i11NHn3(pKpvZ-MdtVmIkxk|J=@S2#0My zlu*87=F>|STs_t9vlaC#Z8yQpqDY|Q<6|kt9 zG=~v*`1f9O)XQmi5M#%0Bm3WWb;XX>o zeV8hYscP|sBBnrvd+!m>roMca>m@%`DZd*{eSZDAdgfzhp4YgZHy9c6?SziXW8Biz zbUe>v!)VZBGHo4`1+{NzSD86uKF7r)d<&Ulc5D-`sMisGxw4c~hT03Ea5>t6tpE2n+dJ zq;n8An2X^0+8x)#E(m(F6PPM2j4^q&JG;F6tokNnlZ?b{TTG0r`}z`8ij9qpt07oM zZ;RtQP=#MYc6$#oyH6KJFX`v!H-x@Gg=H&+dU_B?9ue8_>!Tz?rH0FK_&f!^&$qDC zb;EX6R`B5vGSj}U>^#^bKk2dM_q2WBWrt1yuGCU)`D=8T6~N{IoMAXxaQNV&2IrGc zUY?UYWg^)i3IwQGBrqhtGB

4~M|q zY*6NgC(q-@S5V_);>rqu!50e|CvX6Y)}2B^>Ulba1w@}f7z$Ueh$DqQ1aatybmhf} zvIeo^J}78MVH9#+K|5ZOnw%Se_lSuO;jluch67Pv=hjgS`~W_4mENhQZ!OZls^{&t zsERT&!KlaLk+V?PbNh&8eW$mh(*lxz>$^7Pp5<>>`|jfqZL!^R%k_B$N#k`4X88c& zsfFx)ogCa58pMt%r}1)*a)~mgT?t(Gu_sciwtak_!*iScx2fMTEme97RZa@EhdL9^>3sV7aNSM3`iJARN&={UhyK}rql+f(NPHd4o>V-4n+sHGZ8cwr zteqa(Zxx_>;D}l)J9M;XU_ya@pKs^RnxP*6DzM(pg}eA*TQ7`Quw~}tz6l~^9ej3i zIOvd<0aUCSj1fKXdvWxcgNn`_n63XvK<_3T)urQ@lslwfxz1=N8B|tQ5_FtsyF=#k zGXg%ne4aa=@ zt<^U%*zPOp9{{>p(QlCZF*D~J($NmjNV!fXr8y$)sq>v)&4X!kHm;5FT;Pn1)yJfUk(>4cOGwjtV z{~uf%^>=1s;u!yWxZ}JRkvR!x4RFQ4*crmDODu(gw_W^2nF!upI*N5NLD(P5hMqA~ zxH!YFBses*Bly&*+>hYGgqg32yOI;4zJPWvWm8CcKI{bbiwnVT2BmYy>kZ+i*_stH zVdpV-l}deiJHK^9YWwF~zXq-|4JuKX1D!I0O^mgt#L@#E`e%{2bE?C_&{?KqnlEt3 z6OSA@5o)@+cLrC|5v~)#E$4&Il>cqI=UK2AQ~;gIZnOirV06za1`Vp}D^P7Y3;z6F zN4>)S+q_>AxlgcNn{XNVT<*pKMDCM4jD?^WRO4^${A>K zy>pwJwagNmWY3$F*!d&Hi-?8b9!3I7anJ-3=LPIS90x}+$O>krm5x6QUR*$OG7qNY zcVc4$P@qljrRYvQOx14nz}5tmGmx~2a@q>*2AQl8+Q#4;dwANBqjC!m4-;;5)Q&^I zVhQ~K+e0JPeR)yD`ib4W#Ka9*`t+L=?x%_PGlzaVek0`Swc=|vhAZX`j}qR7zC5-^ zqN!l7Ow6F#k={dl(!@rOKju*|&-lZ0szF%-Wc#4-i`Qy+ME?0telicIH{3zC0+FP8eTz9076Zg{lVuSmx)UnZiJ`}OkoO_mbbvevj6p`Ik}>Ojpb zkfT9%m;FG%ZE0yH!^B-%n&T)Zd#X3snB^0jWIPBa@Gv!?qT&!XC5i4%#c8|t zy;lg;xOaYrh`(8mR}4U9R5u=vw$NW_5Ck-`p*w<>LBFRpmYw&Ua_4d~=k2atZ8 zelRx)ZK;Z=+iE~Jju$YNh01re{L#~CR`Il37umi%3J!P~S9#(2(UePjs7!oKCse}* zzT@3h^f$G%2zrXK_MTz^ps2Tdd|#Ez)pLM;k*c{&#Z2Z8K;-v7^gOGrF zusQz?FjpT9(QvCkUF%fr@8>tCDIX+a*ihF~DY<{z(8)?P$Hd5J$G&|V;lNCpsxftu z`^mH-g|v={VAeq>5wLE#%RYh;fs%8oAzu2@r#KJm$P0>?fq*w@Zg0N9m6q+g)ce}d}L@c1|ie0 za;l`PI(^R5AIfStKv5#hK!Cplq*D^>8n#>UpPIyynMq(V{tNEO{DO8_b%aI{Q!_H% zn1-j~-OPW-1(->^B2XQCmTKHNa#lO=2hQg{6PD z4Jz!<8i3ef`R1~GbG&fDALHK8SNADiwYPY%m`z)mFQ>!@!ToS7fkK+)2q-@v%1+=j z!&c4;C%j4%sA?Pp?gl0k>`HU>|5~sfgIB`n$F98LCb6`I7-LO2`gdZ>}+xg|H z9OifuASJb&mmlqX|L)y~ej&@kb;bR4+_`Xo#quRtn*e=>F~7r)!gL8T0df>V7gyKr zZQb>8-(w>^y|m}a%@QVuoY~q^3%pl1oX`!}82fWR{;2&irdNl59`$|`ck{inZ{2F) z%5U$=5Dr8420s6-(yj1eVfy;O#&!q2F%##b8zD*)dp;?9M<|_UpckePZA(r0cZPoJ zzMX8n#p|M?gMTsA4qVx>4q6_?c*1DD~JMROz)%4B!r+IFLS$ zv2^>?r;j=-<4v;W2Q7gzv2)>~mvePLFJz&dbw1JV) z4?+lz$UfCvziU46_5p`t$qfJp2g)|q1gj(w?ChZM@U0G0;Ed<6ynVOW2w8|5PdRjH z`*4+k4Osxg$-z>}9b0mmd%jGm`yZ*+D6_6n+^Fc6)DPE^%_k|eOfD+BCmyjnT6Uuw z8{(%L^%)~0b2L3;eTz`>dg&2OvNUFs{jF}#39$#-qVN z(Ddta*eJomon3Y3%_b->{k+E4^X=p`BUR-R$hPrCo|SGo2!xei$sH`s#&7`MS;QfWUwA$-qKdQs_Q~buLj+zIj00Sw&wshi% z?i9(Py;6S$HD68`pVhLcm{{b(fph2PlTUcM-aC+}#ZM4pm@hyg%@)6hi zJ9kpA$764DR+!3ov{*?j4YDVn0LLF)ofCJuLwy0Dsdg(0FY|egDrr63)8|say->SA zdDG2pi}mhXtY;;+p|^RdbRY%k9-aLSQ@vK}7kf!krCZ+JExSFs=g; zJ4b62oc#gk5m0P-EH2xg_dmc+n=SRrbW%^HmRwgA2a;u@w$`6tHRFo z!ditJ{F3etiGRgQ$`tZaA9fhuP_t)q&&fIVIMw;j9tfH%VH^ymETS;v7 zjxv<;tLAx-&(~tAJbKpEZ`YYO9GCU9#qUjey);xWkD$@@u2WpzckzP;x2HKxHdCLA zteJqrqnN&~nBVGFU8LQc)8{S+RP*Pv*V7K0kZXTXnV6%{Ls3(U@mLrn)-A`6!*qz0 z!|+;&RXL6t*l=7m_+S2h_a%qqHi#9v5U|A|K|siX9m<3n`{g%< zocqzycm4sJJe;MU2IeRcri#>n0(1NCJT2%d8s`%*+QpQuw!acYIc5(2&Q^Tk`4yOf zb^jS4q?*7u{xg;#K?VJLSr69-M6HiHCV(H%R<`G$U6j~|zWVw=SsW3e?ZvhR4xcM| z@YMo7$Df`ehWoI8B_IMUbcxq+a?oc&+Hui3>9JA#7D(JMT@c71uGctGRdDt>MT0v; zi~@-A8$l$RUHujA&&{JNk@0tLXSQ(uDS(`2Nnp38oysLfJ|ONyxyAy!1TP;DH5En! zjLJJ#z?T#pbS$h-Fmk`3b*><-gRB-#DqRtGGtBQ44A&*N~N5}vz zBibN;&M;WBLJ{zqCsB$VhMlEZ$LDX2a4AMOe9n~OFu>_FU8IsilvU5_He z1=NyjvDPWPOHP<;Psw%x(RXPHT#{f2H+9YAG04PGNkhU5PUV>qU#zH{qkLLC5*MCS zSd)?n5v?>uE3a2EiZ zp!){z^i&c0Sj-;rxBo*^2>(z%_w}EzTm(9Sdqk{GVw`;zx@cljLRuCe2k95A?fM-&=0?X4$j6{DPF6tUr}u}C`v3iGO`{+ z!l>lra10lSlmc7#D8>gQ7X_5~H}J@VSz29=UIww@AzC9$q+tg)f#mJMRq>0=B>sum z!(IQ*eG6_D{~3>ftc-H=%2>meC&;ma18yzuAab!1I15KLB9yC8loP`-EE=NLk!M*7 zXh{Z;%qeZ-5VBwf+9qsQYf=_&2EIs5EgO~PHS-{Na~1{>u9BwpUOv>dbz zYdRQQeIj!BU%7$NDG#P`(G=yz(K(lUXEO3i4m?h)(_5x2Oi>*wl=2DMCiXsjU2DL) zq6yZ_9kea^ZvqWBD?aQ?+kZACSR$yNMTT8pCYm}`+4m{-~0zXrH&!bkBS&ot~U!(@r8fu>H!OTTGW;%x@KOHot=isY&wE> zPr~L5q&6Y{tA6=~g(T?WnptsAf(;JV^Ghji9KWZFTIUe%aOVO^f5uumnx&5!h5Fpv zQec`!P>{7}esMllcrFtGo593QfatJ{jN*ozP=G=nt}1@yo@tdz14o0-!k7O0B4l=R zl)8z+Nwv0TMkc$ek4OOKb_FMoh_TKf`O1u${-myMRaDbvpQjqlRfet?`!3S`5A1zg z=!guAw3{$(@@;n|wv?z9sc&1e>2Lk7!&H50TttHrH$6Pd+FsbAyOYTl~6F z$`k9Gb#1a?$UlElw9$RfhHsp|CO;k*(mc&Oy-?$t|L(jbu;JtCYo}8(g!uW7T$v^V z@nfOldO4a|1xM5W~ivS^=1B;Q1&ne3})M{GVTVWyxhDA>bpKg+?n-;TIf zPxln~X8uFyiUt0O{h;fUmLEVw$7DZ~HCz6(%OvM?-ga2Zgn_n9>}TX7&L6FRi~J8B z03?Dsp8yFswU}aGj9q;hap+#t7i`?8yOWZVNFWE9fT0BU12}=^I*TQK267}Y=rVAy z5WW!}SOjPvmMEK%bE5|JgcfJJ?d8jn_&cMp<*x?4jxR=&*n`iTUG@?@qXeJ;656*I zPLuWss4b*hnQHMxU?-5i_DWJ0>))x%HR0<{`PLQu*z;H4l`ZmQ>n=lXfvYbxo|>ZIKE+;>jpBU|t%kV?4VG$9qmPELk9vH2)v*WX zN8Du22x{iXRj#Lwrt{uir@Pm}ejQsN*AoeUyYSERo69DyIb>ZNW%qoy`3RR=PTf>qr4n-AV;x(dOJuWmTM2+TGHN^Gi!z zy@NQE2)|Wt`2u+b&f^>NXi_30H{}iPESd$R=DfIoC(GF4@oS>pHzSmG?%;Bd|7A!j z$bDIH^9h_dh>ayI18+CyiX!6F7PeU4+k?au4{Tm*V&E;7u} z{iHHc9L4EZ-jr`4K!wVYdiNPxaA-jdpvmy2e81r*D1M>H7@7K8x1Gzf`0Crma7Z%A zDBWNnzTj-fn*fxF$22u1<3uMXCqr zKf`Uci6Wfa2bRe>3)QKu!`4_L7}*33Zj++vmBHg|O7#foS)twGFx$H_b}+KJsHD`a zV5#DMg~G~ONymWw&2ycBc#cGrmAp1yWNld|TBL1NM`g0C${SFpXwVjwhFAjRa`_|J z;pHh_MGqU@ZS)l5XFjSOTSq0{A`@IN>hc~7EGVf7*Nfae-2g&t;IPMKB=xNG|v&~V`0*KH&HiTg<=#}Mz>6c(uQ3I`K1jZoWWM>UUV9@*Q&E9Wqv<#`-+OZK?V;X5YJa0anc9rU9 zoutja!BXVuxtxgVbnL9exBEwk^%())Ffu2(OX=<+_Zp$)3WH4%(dlAtL?*Is8Rowu ze3`U6#uCDVf;N9VprwSOoIc`$YjIWqx|klZqtrmph~I*7i+tI6wcDyY ztP}l`YH_H3QMrG>rcK#83>b=6wk`S1&=7LJH?HHW`cB2i7=A&9eQr-YphbL6a{S3&6!~k?GB!iH|FIx8v*bdBM#vu2POt*!6*KIP>ak+at^?NqD4s>b z9X>FE>=>-9Jv=-XFMhC*0!tYsJK`C;d-z&PgR8Hy>9&q-Y&rea-0m>*cSE+Cb6>rv z_gTcva)+38F%64;$;&bqi^?d9p}iaC_Sn=~GkwTBJYKgt@`gftV$kpe|zA*^U zESJV+-4yB=mKikDR1Vy*pxdh4XKlA`ILt_tU0=6H=d&8;gAp3(je~uY`Q5BQO5%$p z7N4vrg(uKFKAAUI9|nG?YPZUI4KG-md!YFyNsaAOw~*8nx8FXtF{A#U;n-KQz zcArESYh|T{gPE@GX7%HLP6jwW#9h8uJ{&{cM6H|~?(WVZRD~7~rNQ6jJ9H>n_Dk_f zJ_rTK@7hNZ?)w-02e-yOIJJ$Og@1vh(J`%Q`RNOU4Ih&gd=1jjjunsVME47`Gm1F? z=BL%`jXxLIOL;CMQLb#sg}6WIPuSorB@8ZOLHrDrNVvTK*5C+ZKK;m$NU7zoP3(AV z6n*Cq+4z{+?1<6CtTXHMtGb>AoepXAPFOjRA0cse_eAXpgjvcyMQm1q$Dbc(o_pu5 zao}r6a{zGv$n4k=EKj(WYe;9{Y~yA@8M2J>@XGb;-Mz6m#1GDv`x5mC#c4ZVId!mf z1gXpH4w{wp3oYHG4&&nL1D;piFbodCmOpnU{;_QDSL06D!@xj*jCa7m4M!b^ zXKw`r3e@JWvLC@PBnjr=gl_>mBM|HsI4B1~hN1*SrKCzu;40_@X({sk85xAP&{=z^lswbp3j4yk-9pL}oM&aZ z#}?EgqNzS;vQS$b7bqg$IPeEqM}a{0J#n7(JC-;ivu&eeV@J^4lcl5HGKnTI{k)@J zoU|=7*~b)kY(W}!x#e{5$@MBKtE_+3J|ftAPT)t>K?Eu|M$hcG$}Wv-UU6Pq^#pKM zopX&#h8SFeJa8vE8q;`5T+;Id|3LI+6&!t+3KNMbxs)2vg5V5kNy#6(o`3zw_rEy` z@pZs>A5{-g?0|*jq%VbF$;&N%LwGA|^I~kv5d+9E0Gcb~wJTsw-~~OoZi3zCdn8R66I+~}aE+qfbEcRMq3Un&EatJihaaZg^1)P_ zLtUo=)FqnBeyF&w-@++cgqD=EoXYepEmaEmp8A5BAW**kMOO0MkYC z7G8zER;V^!+aE=b-&YoA`hTg)6zObspLQ@?ED!_p2Cf>r5^6DA+0m}+(uiqK&^;s* zD%D~}LpS8+^bD1(uO#Ji98$`H*$*NA&}?7<@)8B1Aj>sW`G6VP=oVa0bE1io*DJJR|er@D_N1KYxgmo7a`_5!z(-7Zm9Lng0g2LFSiabnWMq1kDy7Fh-Sp4oCh?6o>(W*>exY@r zu7F?^r%L4287aaJpUoS>P|3G{!vk?w|C7R z?hpK6<-%M?D(A2q1D5Ig))9R9`YBNYDXPV`Kd zanygxp;M{!1gJ1hw`o&%d#&|{DW=gLsD|8+zP{{^w#KdIWhKhCl*GpfAFUr~!DY0?8m` z6`ytC-yfBgm9vQb2Y4pH&4kTWC9pODc&h#KVj@>rWUG*S`6{)F2hIgBzfH z*xrk)6jxJx|K`m)WVumPP5qTo!4IOiNuAR(7nE0`{W9mp#Gf{GexJ&&C3Hp`Pbe!bd|IyFzITX` z_ua;y7EC5a%Ig@m>hke!ZSYz5{M(VU>Wcez(6UW%->BKRmX?q%m-ONvrQFT*ElWFD z+;TQM0Y_W%JlFK!1bM{1nVwo;mw~tYeOmMsr70JEYAtQ6D zO>iqxoUoKZ!AO4=jETe>D0e{n2c%2@8Z<(IIMB_3rj_e7z#)hkFJi~-q7}%g;*jWE z8Ct=MZo?9dM0s~@%I(!)km4A*WEf$4BYDH2k2r`RH=3DEyk+U`KTnbMM0)(l`_mqDYKN zq4nh?9y<{cY8V*E{d)cP#|98I*C{)H?qYk{^1PM!ECWdGdF8Sj=x`|Z@I8qFa5jjo z20n56hkB0UnQBOu3Q&klg8__D-L8#D*@Pz}C5{ugngtIkQXoirGZ}BLDDY>VZmC=X zu|FuI9ZM0^U;r96T~9dVT_*jm54zFf*Bt$5{}kd!^x-P2xP`f7)nw-*GF8t9 zI=asfpvg5`{T6ADE9UqUrNrS%Yhy+Z}c=*w({`D$Lo4@ zx3ORTT&~l3iMD@vr1ghG=I;HjezSkO^3J7r%&P7mIVROcp)53QwOCgCp0R$zgtT7`Rn4P|`IZ_77E?KgH+ybk z5C*8Kdi)Zd1Wa2qVq3A1p*Q zu`r?>OCSd<)t0jQdOHAZ<5fp+XH8}cF;PBmOmPkMg?5LuDTZ&WVt|@4?^%Q!!dv6m zKcGuoDg6V>@K;!RYD!;uV_G^4IpiK#)nV597$V{u=tdj~>s79a{rsG_&qLK(Cv#P;_PZ zNb=8&^mLV{Tu7FHB0fHocX96mYUTFP@PBenBYusMxiVI3s*!ns@( zuaRJvvp8&R5xZHIq?tAHi3;G>(ObE;yj_d8%qQ)Wzcuys@ESZ|Nw{@u0IxjC1ygC8 zPIy*);#+$SL8h-KET~V!p3u>G=2WKTcFS&|**vJvp+CBn3Yx@B)3aySKZp6KiuJ{d z9{|z_tz8GcR6Qdx-T>>WJ*~f*FEW(0SP? za%eE8sFgMF)cJEL5<0_QHxK+D7r^#7lBJluO1=EdG%D0Cr@v}X%(=8E|9Arr<%#!y zC{%x`>|CbpnytGfqdzdgE_$alFbTh5O~7jGWP`Eb`e%5n0PXPWEW+wbqaU7J$1Bf4 zz)|O!7YQbnJeW5$%7Fm^A4FpwpXv_{58vgeh|VwgjPWmw?jGC{lk|FK#Qg7_r*O#Q zpKiGNjqJ8+#=s{B{;TWS4A+|$+vqvU1QO@998!r!6_W!xE*6Abba7Fd#eHp0Z1Uk! z2wgIn9MU{r!9;aK_MWb2{CEU;Ya3GD$M-^{iC1RR$5?1!h+7<*oeyPa@zHTK+uil# zeA79efvlmtiX~1|UKi50F*qZWYdsAOC(oCk={dIR>zWjvy?Uj1?rlNd`=&ze>_QCy z0=qa)z`=kGO-@}|IPm>@{0H$8-Xa6iG_-5VviYC#9?Lv>gWi-^FHYoV)hitOQzH0w zkCmNP!3itJQ>I~230PL+e{csO(7SWxnVzn$7oazQm32d_J)lh9o5kHU_V*N<>r{$) z9_0`KI?B}GWiy0N>HRzfwM+!CXAJhL>+2t?8OsNtCJcmh6gW(KrUnaX4}rV1M;QXn zJ*uTeGS{eZu^@>DT}4@!?eY;!N8z)Jv$#1$>0IZ}>{GeK2bl2Rvh*l^E>!e*MiPx!-G`Dg^AD?k@|&NbXmcI&vF+o(Ls#|W*1f4d8L1NVPaW4dFzTf zQ)3o)6AzLLy1Qw`RxV1|b>^ITNJ9){7k2E7j=g~X-lEuL;`g&Aj1Puj+;ZjW)i-zq zh$y0iPf$WOE>JhGbX!g;8pa*+4#0arSW`vC2r(@R83GSOxluTSr%Jv$>0fVOpAX1* zZ#ml(#3fg(ZWEbN%PWv}cb+kT{+IBR!Td}!6a}aNV}<~5F9@%KLfT&-&ak`h2X@|0 zMaAtXPDyVMdhqy*-fz!P5FBV!{Auxcq52|XzmnL9@O}hvH|$A#;o}WGG5#t#Lh`V| z6`OP*#Wt~W$A2Rxf&kbGFQJmcko=hbPJpNLAdx3NK7Io}p<_HIeJPm3NIrs5fkQH@ zngRD|$GS?sNlOLs@}PoqiItC&kD(bq-wrK@g0zjJus{ZZ`h@+QB) zz(lQEb(@!$j8B*L#7S80sdMNz?B1^30Sgk|mzR=~9@skoXCZz9Z~`FFFiwv-NI15w zl8I31v+1tfr6>Hg*eR4Y%P(*ns6B-=4He&d*s>t?0G3sqbDC;*5%>*&03sLg1^jl> zR;i;j3ii~|(AcueQ;#KX(GzkOZg_oyjN5MFR{{$$G_ds;%^XXUwAw|{gMtljRXV1( zM%ymwdqF{i2z{T4-Ey*NP_nn&_lwbA%~EN?T^3zX;VW2#elt9{-fK-!k7asC4Ft%h zL;lRd1%8!&+%|$&5)SpZHi_obTuB~+i;SD?%#CktZO5d`?ZApMTUT4XUl z<_A2N>9NfzQ{8%By3Qn2&xDfXNuXlN2=WF>Dp&sxDy6%0(dcM7_GIdtXn86Udis9* zt~;+;n3;)C9UxE*#AW{rNrV9h7+0jig5=^_X^}&(q*k*0R{S??Hy=3rPRYy5rz0?o zC^CF}_s2waKQZ>j$!c&tQjb{cLz@9Fi8pY}l{=Hgn60qSs=kt4>(KUMH$AJ@f}RH5 z_51uDIo{P0JPHw@+;^ZM%;S*&q>wn#P>7M7Z_L)$5visB;7cd-_|B%4Te_I)1ED^O zRV8~TV8`NeT334Ye zvU0HteXAhV$tuw=^QDC7wnkvGvo2NSi3?mATV^4$ChHZ1%+{AQ_Qy^8_By&V*)Zr! zj4!Jy=F(NG*mg^AsD`sAxg(%yniODm10o9p@LC|qR{89_R2gL?NjUwjy(VVuQP4iX ziDMYh3o#i+RXLZk_BT*=fdk&A1?cA(Ii=~~Jah%2&k)}YBd--j6&M;1)f~+S>rLJz zG48SDJoAo6Zso!Pa3%^bHtFS#m5H)rZw+7@qnL4I=!v@h^Xy~F7VAGU=A}_WZ6C9E z((o|TX`{m%Md18s7xPw^tEY9nR`v4jU3UM!ncqhf;Cu%fuP<#-b|e;rpG$aOfQw#p z0!#vuc?SiS&Y1hzvq?kppyuz7yITqSt{w1Jl?UKL#Jq$N_`BI-f^kW9$$y>!1UQ8}8d&JaL%7`_|6gYk$mIMIW zErEd(GiHptNsc`uyEp}SFR8X?^0a}cq`;7u@YD3QbkcOq;d`nJNsxr)`bP7;BD?%GVe3Cw-bt|1 zMJZ7SdTd*{n=|res<3CUEl3Pu6HGb#mdG>(F00jmecPUz9Kf2b0j~_D!ds}EWo>62 zif37{(lRf@zoJG?48VUCI-ABHmfuZ^woW@b_7?iHRJ)^GMTbb*VBm^xfY8fLNm?23!cfKQ>^>o#^E8TOh*wmJc#gsj zV_Y?YKAM^7EbXkjbOCcWOhGB6qu!vC7PNw+OE8PZo;ov7KR7Yk`1%h=@7*ux24J$2 z@vEj-1Thm32jzY|xYOXy4E$RWb|Y>#0M&2Bi~^i+D6TMga{8nTOI9zSYT}p<#rv;l zf8Hl<`-_kvl$9w+q8j?-Ay7)l(1e6VqN-!UBUQz5L0BY!r%9$2K_*0=9qTC8x#*yw z5uCGR_VOw<#n6R$%S<{>#r{?VI9|JDHSGu3ID(&BS#S^ETh_<>xl>Kby9{+H)b!uC zaqGZ?bUJN~hMHktKBgNtY(H2{A4%QsGPI`TZoU0n&Ck{O)(VYFGQmN6OI5Z=7i6p0 zc79+j_;_kDRJi1%Ui9*|y{dXDA$>LX&uBjV7!tIr^FfHIpN)gYW=jqJe$$rO$d$y7 z__EJq7au9kc28BBIRoceXikcMd0lZ_u65x|l~JSn)LmLJJx$>oS2&d=`7eEMjmQdG zJ8xQX^P`{(bM2H0pu=5eFYQYDQmxg&%VuT}Pa~hb|fX-o39td34II>xu2$3rs#>KuD;5 z05p$YF54kZ)kmpnAVE7iI=bsk7f>dqL6(v66S!9((g_7utKusDxdy}U|2!3O6MTIT zzi#AnFbX3Q@9@>~;f|!qrBKk}LDst1KI^xuK+z>nsKDIhp$<>ciqfsWabhMvOssRX zDNTMx?j!E^H~`yVtzBWCiwWVjUI)hcpVm)q@g=F?R~|-~Cm;xOKuChKhk=@dW>Rr$ z^~?Qp6gF!c(2COlEF0@zpC*Wl93@RP>b5p0m%qE^>OX2jt$nY4=Z!m4W(P;cySyl= zh$$91Rd22c2?|aI=YM@*g3%PtQB@cY0H_hz@_j!i6FFaAhf<%h!kM8ic0SDOcfzed zKeBqqZ)a)75bH8LR)`ogbc>AqUUUF60JY#=`GExD3n2KgW5f8{9_J72gu+TO^JM+; zTN`+Ic-(FXJJVS(JU;c5L3u^#`rDALzj4kJlRV%&qZkbXQ_C@{kSFm(kefAjdRlx2 zT~T8|%pkGP?A!P8%ibl)&dO>T4Q*RxG|-T}Q${2i5m{M9W>QvZDwL7ENh%sf zNLHyts8H7Lcz2KI{{O$<*ZsX;&-2`Od_LFpexKtwkK;H?b9QrcZ!drMVG++;6T@zs z&eK6}*H{I$2wjX`5l|OMGadDe_h7I7;OR!O8s;RCo4IbA1Gq~ASGj~tE?C>y*!atmDUd?=?M{wd!TpVPFJEZl`z{AB6Gjt;G3zV$BHN2SKc`qJDp_H*wl?{<+a^j zWg*E1oG2tmvSXIYdwqvN!I0AfScAMvuZpZnzWqyDh<-0IOSBEHmQRRl0vL}KlN$tL zH^P$!I33VUZ}D?m(BK6UE5V0*XJ@fBI^SNv2YfPs>a-vnFxj5+ldiQaj}*ITaH0{X zdJ%hozqqKUKCS#0Q`w!f-JDkIjJt07ul>D?7nvDV!1ea?MOC71mrLf!E>SJz)!eLM z4G$H9_)7ZEp8fe{*;E=kGqVa%H{Gpqc)0zTP{z0;m#fT_tm5gcYrYS$M+U;gAxX`3 zQ{DP9+@9n84Df)Ipj#J$VF@9=JGyoiRKEGvh?Z#yT*UF{S71JZ){7h@@I`_#@71n; z&i&!Qbij+jmCnf+{=-liyEkQyy}vvcoS%Ke>e-dw*UEx!dHSz;v-1djx+j+jtv{2{ zOM^pf#&6etwfs#NQ`ZRTu0-En$7}vSMHuKV$IzPvP^>G*!goD);*Zebb8TN9FU?#n zk9D)VAkia1m28o~d{U~(n9Epqw&Cfk&!?)PG8hx~Eq;A1>%!aPY*kuoEcj~@nw1PX zik0bI87M4N)R*bf*VpId;<9SZiiioV62uAxjCu*Yh+=V|aaW|?m8g5Szcs%)H8QNP z-+VJbw~D*MP|#b7*w#a~2&I1mq7E4yhi&QuwSC$HhAC)v4xDfqMF(jSsipBAnbs)Y zb{_q+cYh}qbYHr9H4@Wb^z1~o56m=wYtL5<@5cJ;*t7yRjDO!XYo3ja35hQw_*~C| zXE36%1U5>h@tBEA3Qq-J<8c`E5SN#4$ttw8ut@7!Lye#EcB^QhB!u%5W|i2SzOZgW zPp9}A&5}*w-%ca3AL7lpZ3h$O9guLLqv8 zv_T}@SVZ;#yd~BFP)v*8*|+^n6<={6Pyf&%c!cnJEMsM;uC5-#oHXrt>s`>}J?Ce) z07wf3)H~sOO4H8tX`);d^b5V{Aq^k9h!ID+1KDQF{SWy=2hl5B1pc|*$hX#eyo=AL zMR+paI)DDWX8U8#_8E|vTI>nq-V+BmLC*Xlo(I1!cM&!|k{>`EBmz%Cc0!x>^AG^! zhi^~U9k_4QYO#$LeUb)7FQYwWP1d}|0lmMBQF2DS2rfEjtDxq4lhOIv91q*fmqn~l z6ul5KigoEILouUbLaD_KUr)>tG;vWbKpvr3;#!8LJlc3O^8CzASyD zsaoO+eO~hp9gE2Ex6=Jb10bAE&HQm9XwHw_EI<@Tl&3W`(?oXD){(2C^CJi{hF|-v z*&WQEuDP~XdOr3@$B?>~7C%~L#P1uxksNYjp zn#^Hu8Rzit9c!0pW@)0!7Z(p`Fu1niSd7gKx_cUXhA%)js_N<<9=jcoW6c4UN+2e3 zDOhQScR@VXQ04}rj|GrI_%5}zwY2Y+28iZCIt1qb$xAz*;nfx~>0<;+d>oJ#`!NiW zIs8Bf!kujCPhI_6dteJe=6xtlT$$)-bgWzjR=J@bEic7+&%)ArjG*ja-{imu^(8W3 zWB%&BFKilnwE@>*>6pYqELc8lZ@&2}+EgKMlFWm2j&yo;tGl*7AyeZuYWVnUhtvg{ z1XgHdh(wpHM<674D3=~h*_=IFUS)mC!($gVVi2+ev64d~WF#|=W~CY3eLe*|SoVfn zBnE}1RjQ~@Yu1saIQo3BpM(OI$QtGAv4b)a;i(UFjhNvK5RVwUmY7Ech&J-6qj8e> znCG%MeyuSN>bsXE51_SDfM#62o)jDuH9z}(A0Rg(HpWeEbC^NSCF3Y~C6eu&jsDLO zha}B%06 z<>sa*t_dGMio-q~Ip}W>OV9y!TEMlJ_*+sV7SZ|b!COwuB2g141*POe!(Q9S@xeo2 z0?Pexlrg10F%DQIP{HnJ<=vgvt3V;fnuf8-t`j;1@hc7LzkY|`T;iFiTerg-#wOnxz-{LZ(IiFTk{lPDf>SKIB{Pd~c2KxNg z1Yv|ptZw}kZZ=<(vzzBz?_%RoiQo{b17K=PMqg4+D_GM z@-s0_CV(c22f&}M&~1SE!w6O_*;%oMb%~{n(kcA2`KgM9K5)hG$2HM0lQ@rVR_C`+ zOGqx~Z==F}7nTSJgrf)$I3*0ILF^bmlft zE7FeicnvKF9%jPjX4H#|fT*L6uDGg-^m zhppCDQ(fb@m5FYSTKnR5gKpo>SovKFLN+TA|B3Ib4nZ5j4S42 zr(gQeld*K*`@+St)fbI9cDo7Z#d$4z^lkKgUJx&(!V!W6bn#Cjr2t(59ALyK9dMIx zZlU=V3-*@VI`7YmY6qx!jd9VB|L*_tg%zg?6}p79^a>1!zH&?Cw#RJw#^fga8%$?F zM(Q{X@P1^-)IX-^JT@G8f2IZ}2liV8_Jg+W)$7+Nev{NZk71!yHR?)T@4&dAO^({y zth^RC_g)JZQx7rBGuIPNTx)lW`{&#deZ!N^+Wj2>0c6IFw)y_fdwVoy`s~vuPvk%M zeSdp2bv)4nA~X=*Llz4`w(+Q0DfhOWmadg4A;@D|74HXgVP$h+WOi((`sJZB%3}Jg zjwNM_n-o0K!btyvc0;NO>vnGuQWbfc=*TC2;D*kATsM{>I z@(OTrfTC-;EI~@zU+8R#F=bbOv{=95-0bX{PNtT6Z`mi6V;IUeCYqX>u4PR=4g8G^ zf>3P)PueeC5ANHj)*^dN5wWAVCELc(a~YW=LWfXm05h}Tm^;ImqLHyKfOh+bDVT-g zyEUE&e;fsnmB?A;_2Og$j{bmDS8|x)#6g7sUr-nrhgUs+v>t#?2=Lr~xPn_m5-TE1 zr{X<%hs8a=Tol;Iit;=NQ4_SsJyKk2m_aN=Ye$o|tO7);P?Utbt7kr)9PihBc5NH4 z|KxlsC|RgVoDE8-5&wD|d$Qhn!?9Pj{YPivBSL(Rsf6?EUwy!@qx{#oR65x*zIwCe zw#`wmP!@;AqXJi(&(LmrlE$ch;6PlhU>U%5pCW~N8$eRs|`rs=&d5@oIo5iSLLN0P7^I|r@pZBj);`*+R8oNyFK#qv?I z;O&=(x>-zr;t3tAK~}lF0vAG#md$Un9-b!~oXruOa$6^nj7RzTxw&l)jlC^)zt`%- z9Rdd#>=2^n?=g+sh?8etXNTWIgE|KGRV*L)UpU29!fwL>N7g6?rNA zrqg7_bZO~I8e9Sc@#7y6uS=^Bu3845&{2Pury)%CiAo1@_ZZSRO^dfr_${UO`^Ja4 zcs^lJb`GBzl{6s)5aZYF)Fx zs~DKTxQ6ksy%PXHwamUs>t3c*I^_f|FxoziI|n#-LBtEFaqJweJ;ONiCGkQRxUlo& z4!fgAhkur}B>4B{Zvu-mu%Ad9(qGzRk;MflYtoK9vZL}c769|xxW;UEO@=`ewr&6D z0aRYwtCgyaf0%G{9@1ORe`WG%OZYS`e#G~clu~zaCzR`~_ za@x3DWc`bLy#<P9wW5gSgp92TKNiA^fjKd--9udF-8?vjC{M8soHz&)M^8;BvZ@_T=Fp>cxa)?Z zH>UbH`a?+^!GF!F0}m|`SRln{K2BDTOAj=y2XY;wb~M|iQQre6YP zp0EB@OlqB*A80Ev;KqU(!FxA%V4dtJ%Q8Vhhga9Jv>;*{d34Q#k{pae@*LV1;m4C8 zi??Sr&Rv|bRo3BwFZ}Ok9^J^9?B*WIg&EZVe!TZ^uxBHq%0FCymG2VB&Q^K`hR-`< z`K)nUvsL9P;5RjZphHHX2*dJ(a?*aq(9j1Yowsf>XDv^=xy9BRw_c!Qw^vsrLk(&S zeZArGnF+uFvyz+9&SOZPXvS~J`3*IZx37f6<$L?nX-NeH++;hJR%M%?s#mM+jROC2uY4`uQ$Tb6KRAiN*BMG*ad=KMLf^pb11Ro@r8G11TNHnQrV3r0yWNE zUM_1?*4|+ou0c6DGwDR443N$k$7JZq;f1n=f%o(71>0c6ystLZpCC}FD{nFtT;nEepSr6eg_P~bhx;_ zgm>13S-7Ek@BQ$>cKj@EP$lRH@DH|HXR=527vM~ag73WwDq{rzhs4eY7q&Klfvxx3 zx5Y4_hd`bl6(B|=WQ{IVUSYs83CNF{vl_M!k<(!?7namyGy-d**X$3^zV>o5{LB}jipO!^mCMFXo^dIr(NxS zY1beV-MpbACDT{`}mj=x!9UT_iKJ+l{XX;OqJPsnX%=z z_U~}f&{s4ZbDZ>+++v4B)Ar<%-Enwy6NxJ>>sviS%1fbatoRzSwld;XPM)|NNSjSvxk>d3}Y0Q^DO*S=dlPQlU7l z3k-buRHxgixN><|y21lB{HR_kfE-*#_5!icJ^r>spfa5IDLVP#>E#_~6sh~0?rpxA zMcPKm(?`JbkM`UwDJ3;w`|gG^Uf(&a2CN!t#!Zy$X~z(!;OQcD)F6owCH`&0dny4e z;)TBM+EvJ&HnNLGJ(rW%{@@bQf%Xd`aEyyiyZRf>kj^)noc8zUM%+%Fdc$_hLQBZh z6g+t-JE|&DmHm1$=I$QOcK&f0wFYav&u%Ph<__7hUxF!4R{+3ckkL?%sh_vtU~gg(2BC49gYF73k2hsG(l}b(SL2i$_B> zF)q@y)$5f}_hGh7Fbm**@?H}*BnpwU2g+X*&JHo7CW>lObHn2UN){U6rTqn;>$70x zmaDZ5b15cR+U?t%vHfbxqSok|1BS7e{4<#8Cz|d_Y}X&E6iFEiX4;-Uw}*SdjD=-u zQ}rb6qkPZV3XX*!o6_tZ+<}Rrn}a8MuWk2wsL3MC958)U91E8)U?!^(A!b2yR)?{H z?&x{~C12#X!sYBXaKONK`?;uIu{+7FUMPhhd;eSoNRE~=EO6vUBX{Wb!0%i7+;h1Y z{==a2Tt(zA4GlhB#uaJXjIF__BLxO^|EM`$#f8yrNDA1<`0hqofd%GMM8ZY&0-WbL zGXpPHH<~*#7n?dA-V15E?ug@VOG)nEemd914J1o!X%~EHE<4fjAj*APzNv3P@ z?qCT#bh1bY^%hvcL{|=HvFAHRx1RnQ3KD}By#kyS6J=g@Zz)CilpF5vubxUJEO~k- zY?jz=SD61M>xjXG>DTzpcq8C@1+|}n*IR6^ID?!OMVyVzFM_KNvx7Qc@fIZ1Mvq*+ z517EOI(Rn?xFDoy3Py|+uOr~-W`?APwoT&Owh7__fII5#bR;lc(Y^8c^R@fm^|Sw^ zO^}j%qxqE|y9oA_Nmz!+57qsGtB+RsCKNO%Ec2eqsve*h9ly*|ni72MD{cR|eP{tu zd`}Fi;L7%X{v3u(Xo;pAAs8PmLBo-IN)v=%YIgxRRF#y8vQ(@(aNEDD@WcufK(JOkBwg_I z#S6tN_WPM520njoY{!}Scx|9;O7k;`10$j4y1ZMT8>h0Ko_UjBQ6(?d9QZeOEWnSD3V@A7bO}SbFuD zFa5&Tlb^oyJB_G0(>r^?jnGW7PpbCHi{)xxiRvew5{dF0qy;1ocI>?>4PCrVs z>9ghEDVJld2OuTl0#fK# zF5D~kAX657CLv%)X!b7K7sZ%0wV6Kr3(QXDN4YFswzK@ONG_KdW zbD$p%mP7A@x00odSh#H6{n(Z0(6FGMxI>bH4mU#`lO+N?!bfb(ddV68a%{HqP6-Hk zk-qs{g6Ee>kheL6YXD`hwNgVj=DJ0eJn0|}&7f*mW)O8J@;J5VaU?)|23 z2|rN$I=-&`Qm@`S>~ssOyk{&08!BZt^!r6JF-b|sTA$Gv@F5umu$G3@mLqGIxkoCP zU=j|h>Mo2{5g5_jNby&4rh4e8?W5$AMfEm0kKuEVVGwHcrWw034IkQs4fZUh7pJh} zn5hd-zC2mHhgDqwy4{{o0l9YLJA`D|)=^m^* zljru}_+8eB$5$5Eznhyt_iuP;aeVsnTK)No)ST%g>DpW#$5mPf7{9L2W~`?!-25?D zC>a`4X{X@H65#23$E0W-7EnVj69IM>+4Vr!Ie=8LhYJIp0I(sB3|@jlhYYKUx*DLg z8sx`O{Kt-`Vwg-M0%WK~bnL*l`w;(t9jf6NEaB!3LMI9&D(B4}<-&~xUl*&)NY8^i z*g!Vg!W#uqk}&KDcmvPszM-M>;L4{X)OD}Wcm{L(moP;ktakh_nrdpaAg;E6LQf{< z=!nqnEt61trA%Wia#$60e$LOI`?Gq!>rcaeJ=g2I-RN@?*UTEg%14{Q_GoAffVa=D zDmtfESCJ(Ietvy@L46pmAZU#EN~KQ?930*&!kgNR!ca$}1-L1mWBsS^(yLdqA!>Y3 zWM-Zd{}FcnJQE0+s2A|}Z?ULXC)P}1bEkK}0+a;59=Zq>3qL5fjeNI&8rv>Cfc>p) zBqq89YiCS7f&}w=*joMdOkIFt+OjA#ua0l7zvi?OYvs0j*~3}v3sv7Ok8jsDyV4@4 zzW$!zhsuE{wn#Qc9|qn~yv@!AB$jB{77^_S@;jBM;0CKW6d5n+7JfDR5f>V*Yif^| zh@E0hyQcQw%nNFF>B~BW>J#sZCB2+sR}y+YfVAZMG^A>4gdx;KuSH9dIRf>0$1yGT z{kfG6jea-KsS7SY1)rJKsT})@PTD>yT2kAb2Foeh7O9X8+%IbRfPayML|!Qtmtiab zjl;dO%EPVqj-J{XoSG_vo;d_n43EsQgfXE-?CcxPC_%urroi}d2xfknh5PXO*`+vI z*Giih1L%x#La}W!5g<9jq4>DMe~Y^%hGXP zyB5%zv?;73ereb?=0T~GZde;s*XvcNAsbx`$x2NYAeSC=gGQrXf zdeIU-nGE$dEzwMJsuX4OHPvU+QhHTRfc9c|-UF75*pNnS5FZJ!&2}GTgq6uQa%6fpEUF3%1|A>B6XKpVbH3MWTwP0b+*9Tbw5)xO6cz z20d(F(4YMXiiBHK1}L~OE61V9SZXLn{bJU4UelFMv2zWU&p^kk*=mD#N~sSTYJv0Tb-=rHC$W^wKOE*fiYXm~~Mi z$_1;A#3?}I+E^!N%KnzYen$Ur7J)dHN-|(JmLYBSc`|DHH&LqZP1zm>P}yktQJ5L# zZr8ed89XQ1FU2J#$;(A`cJGd6&b&E_AuYjUh&YOLSl}S8Vv%fzg-33>V@Ygbqi$lT0shR!Ew$SGQ*Yo zD|XKMh%>9D%9<8iEX>bII_*5S1-teRY9;E#fE6HQI=$oLjNts-8m;4_JE(Z=pPk!; zmt?XPcQOZv;;+cwfdM)^P|8Rl3mA3BLtC~KCEur-`_P=><@E!uAU1JN6V^rmTM%64 z0e^w#b?=mXe_LQ-QOpSD9X?k^uoWwtcbi_MXD52tvkr$si3K!o*{L16@!FYHQDWa# zRM}xn2Q3a*$u%(gwz>yUzUS0Yc#=RPG~v5gXme#DixLyg5!~ggh&FBk0}IBbcX2@) z?JGi;OhvTFieBhrvtOFTVs@*a*ErWR;nJn_!#jo4(hw}TqTWO)&+}n~N^i}MQWTIq zQRahh2QW**;7*-zdP0Y7BtT>0F47>dY%0oGFn-m+SHmLXKZ#!*5vR{ynZV8vfDEqC zvD?_%y7r|iFxK-e-e<|`y1-rgsOQa&%YT;KUO;T`!}p(HB(&LjV}nGtxj0Me$1x8u1F?3MGqyIk z1|?48Qr>V)JL~b)!JoeuUmi}x9t-^6?lu;!uOR3yhPJ2K0QI2U3Z5!hV^3po+(R>d zbZRhMA^8lYay75HPgShm-$t=5k4gZWYn^*w>(G~o7QO-FDDSEhK9zNXERyrCdZ2wCb5oAR8>_K1r`ffz=XB|a9oz_ zL}y;unSQg1v+vRh%RE&qG1?;FTaQZQw2)EElf6ROohH+ij*M|ZmPC3={@~Ei3h*j% zBw{W zOV|V~w{barDo9tB$(nsjQPKX0f+o?xh;Et(r!O)FZX2|Zdt&oT#`uLgR~u8yA{U!d z&#;FlcWr+9wTka`$Wlx8bxF@0A2TPJEZP=4X(FG`cs%p-EEBtb$T2F3{p7YSUk5ws zPaJ!?reo#TK7&U$dn}ys7}(sS;x=e587h{s#FXrL;)+l|Itla!1Gwr5W02odJ0YI+MR6tQ`*{=|z36X35HK7&^H>0aZMggip^ph< z_4pu9YJTs7n=liptNYwaEFxgob7lJj9Cki#dIr!52)_`>L3sA-J(DY1&^X}b6CZc3 z@kTz(H}?)2M4v6f03UQ!M#MQlH-DI1H^PR9#ezz*yV;sSNePKh@ihJzy;*=u4K@l{ zLCYakvJ~o{IM20ooo+|j)laj8YBE4B39z%-eg_g^N0HktjWNXy%wpwANMVmXj=_Oe z%azyPY%`rYl)sncl67)!Hi0UXgC%|UzNsRGfZ|Ev&ex)JehFG4Szg}YrdW&7S`Lc3 zv$N}xBG0RNfsD0}T_&+fQur~4zy=kB`d|LfFwRwQ?2xBA&-_G+!jc0;uXl%U@23GS zdrvRjOo%oUMI&QVXf}r{*A}sm6P82*j75v4pS({cA*_q+f17tKR${|0t(a@qo(KOx z`6a@v;X+eoaRw=1C48XQgr$aoWWk2{Y zz57EM|D+UVVhx0DiHW34)WcqiXPB6n2wJ{kXCyKI2q9+{!`y5$yAd4v70^LaKtzM_ znlJyD#0;Bo?05No@@hzk=yiE z454&Ww)4X$lq~JUWJ*#v?dHRRLZ_}n&0Pm%6KkLbK$F9_&W4%jh9LP({sD!79PQq{ zd%fqxm7>Vf6yA!9BFZn?XQroB?jITs>*>EU+dt@lL1$kRh_7TSNoITGt3Y9TTR)SP z>?=a~OiWJU6&j~IzUf2KJqJXquWcAVlPL)4EJ3QaJbLszNGqRyMvWG|*7WfO=CSnj zX`>VQ$R0}e7NM9Yooqg3fPr;@Tyl7!BQs8wmN^Dwy!cIa->M+7A&sH`q=1`?OAA{> zMiT&gN#7rs_JRdO!VBt;4`x@9k7HCX;Q6_!^0w5A^PD-$1hY_7>W0{{3uCGsVViDZ zR74CtiC^(D51L~l{KZoAK@KZW_WPgCX)uXV3J?wT6EIqAcI3_sr-qh_aOs~b%*jJ0 zKzIfMd#r53K`1+NEwdQtAkPTU`4)IUMLc}h%Pz-OccRq9|p*2G!?Y*2@Og;!ZS{f%Qg4W?C zLFO3+VZxic2ieGmXz(V3Fs6pCz7J=X=mpRXO3u8vvN57TZyB;|1Sn(!M9u;17(*@j z(_al|;rn&lv_z3t!0qHof^lOJ8-;N#W7>sZph11ZH`5iK`QtDIUj$Sl6$|rZ9p{Nd zrSy4?#q4|9-{(6d4xT{-Bf@FO`b9B|z{s!$nYD3gZsyIKR=`E4LArTfz+%6{DEPZx zbnW{7avrY9qQ{TZ{1)cn>A-|~WV%udlmJw0wM)}zRKNmaeKQKb0rDLQAyho)Mbi57 zYhobaJhBcx-<2~I&EUSenAi732vEsgJZ6o%YKj}%5likS#fV*^pj zR`3+y8QH~2KfW(OZ3AcRd(r`r@}RaN6n@?1SYzpVZz>hqR&$U?bHeu21;aQJm$QC{ z0Wjf7a& zzA_sZ23vraK3>2sXE&p$$6t6=hj0I85EE$ez6hcqAH0t7r+@>EO-_F7f3UgD%@wdn z7+fle-~r@`Ss&O@48W1{L*ome)5IQyYVlsI>@&@YE~_3$si*0>B;Dp2;TG@p;LYpQ zzQZ-v+tOKm|C|5)ktW6ggUs@;& zAS;uB3jhPDjOQgweSUF)$lLe6F5^Zf8lpfsaH9>Adq0Y3+&9X18R^`3T_J$RDJBU+ z7J)qpw<5s6BUbvrup+i=pmZV1p%jS+X{ScJ-}at53*GF!Jp9rK-i zF+o|I@$Gk>I+dq6)Pe<4c(l>AX+N>;8s9GG?3{P`12p5Hn>~EHpR55_^eX)uU_P${I1oJM0Rpj-I(7-f$+3Q%2dVDY4KPe=ujsR|)lFDK-maX#712G%UF=L?o3qSX90axqwtrNJ&-LlYy5( zxG@N-ggrs#Rk%Elid2p*f|(6!Yoc+f1Smm_$#?-c0G{#(!46&%WO+5}1cH_#6;=}7 z0Hm43+Xn;@Z?XM^Xopflcq{oefXIkHB6@Rz>Z725&scSqFWS?cxL3rA0axzNVzD7v zTxW=}L9VX>cgC^jsLHqrd7zRUuc=iBKa*G}YTd>dv;vRx&tKE$$&;CdB7-M>q`PQ6 z(s4tL7pG+6{WDW!FyvL74AYo)| z3$+UV`&Hv}nVmru6NIC3WzCAjCNdL1c^q!`EaDOZD7c%blzl?f(q$|o@-PSlYl*H! z%H_wz#45{(c`0xsaLB=$KcWY+5Ldyc6HvK&@o}Cw@r|qC;|ateXyq6w88Gd!7KS8$ zd6dl-3(vkOWU75$>S=5mCUGuN=JZ#cPU`QcBpRCW5oi#p2C&P5*sPJfh(i2$z9PdJ zsD_Yp&F%(0^kc)|XA?hf$qf*HGquyW2S!I1d3a34DAtIAJ+SuJQuhAA!2`!?JY$LzeepT(;Gq%eBb+0~6;W5DKw zN<$>YWW=1sSObC4Pz_dKlfH91q>5(}@>Y81?TdVPhv^$$1wjPS(_FVD>L$1W#}`j( zJD6s#7_8DE0rj81X0KZaFy?>xIeFw+W1}jL>7|$$tA{2i)UZ6K1$jpQwb`-z!|uVf z0ssCP@*fst_~;JYeKnOU39Wo@h8>zxGPQ!CqU!aRq8m3Z!;c!U1tQ!$kdzqm=U1;r zRc$>Qr|}OL;Gd81*N@vEpmN_TbJTh@DybzrJd7%W>c0W96L}9l3AUT<&(vN9@&ylO zskn5FJKbm&l6;bEg;?`vY`692kn_`8fEz3V3U%%C(~aVb$Wls4T`QsiQ~jQR!? z%R-a|YAbXLSJnt}aaAXR+GgHA65m#AcJ#l8kh%YTAY4X)W-cf}hembYDO{J7b>mq- zz6Jq^5$IKc)`IOq&{|>|gUBK2Bs~9nSdI+KF`-olg0nQ04cbR612{aS2a!|(M`DT%ulw!uI^rcDyh%L zB>2O!1Dl&)MLHL1KH(R;!I_hj`Z@6A4L1eh-MR8 z`n(2HHNePS;_*RWD_PG5YcAE(_lsg_D-4e8nv~B>M#>!qc%;#_`o4SF=;e!hb^jN8 zG{Lv2!8w#r`&jDrUEZm4L$a>BVjV=ZlKswz4K85qpe}Gz(3gr$M-4KK;l!`A1ST%? zcE8kFfUMoP#S2k|KwX4jf=ZEiR{-60g_{XzIH`$H%d79)x${z|T_g&Bl!A1aBJIL3 zMjmY|*-wmXqmJK|gP$+{%|KngKF79+2hOI~Q7ywDqk$CqC~-)S2oSmfbDD^EvH|i$ znMe^CvE8?1gz<5p533VB|GY^4{~k0hO-?WH0V~^=v3 z1Dy?$>2YHv`kjH!5n>^RzXI=Wfiju%Xl9$#CyZRfYZa|YaYdZmGj;s-B|%%HSPsV@ zvdI@^mCqdN5L9O8t-i0DC**bzZ|2KDPa*IrGV?{U!camY=mgp>ejwYr;&OVcKE1iK z)Vv2+$IFw*xqs*dX*l+%=T?vZ$xs_3{|(-v+AJWSUJy}Eq3KP{F8>{VY=b~@>w8Fp zwdOFIv4Bp`ZfXQoC)q%vq?o(w8HzrM(=-;Sgyl=jG3}0RwDC#B=YQL+XpLyyhGA+? z0cvey@JO1Pn-k-bw|P7md<>$g$zXxzu3b8vU*T}k^z>;=9Ik;S&P`%m7Zze(>e|Wq z@yWAigY7o}yX)-Rx5*GDBd(?0$c{Ri|M&3dYwAUm;=E^}$&L99-$;A?!5#3xzA=kb z=4cfm3w$KzG!&LkF>yF{GF4J1VQd1XKE$hWx8r)UCC;l0Kw8>nZ`_cNsJ)vYGfAkc zujjdAif6L%_?ytexA-<>9jGmEQA4!O5<@d+Cv)Gr@8k^DoE6G~vW`SKaPcD*>cQ6P zKo9xrGy)*dZ_B&~$RF$RUq1HsR>DOfy!21dXZ>%`zoUNrWe%kHr3XSw!7y0^Z=J+@ z#)S`3&fi^|yK``lmX;+L&V#n<>go~CWYxj)NGT+0gR&98GgWtaB5;K{;nu}mtq%i5SG0*3aa>t5 z1@>z?qFUx%@{SyIv{pa+w{EK))&bd{j04!cjnF+Q;?X34AaH7-+IzwoP5{0@<99YC zPYhy{pB1h`yrc0WyFKS#1d2hS^%QJw%TpyQ_x0cgJ;e0)yAztLuYlkbA3f*7J}a*o zT(oG%5`0IHIRk3lrjXOU-NA1<$3Rcdcj4ZV{n-Co*#(}>;4tbjNrgbmTDMJLG16F& zCAD8hc5~JRYiC*^z1hODT@1_$3q0*Cv~piz1ps&XV?3>vVNBU;yH=05mpT78igB~x z?fv^y%rm;|cYuH$qtc*%$piR_u599Z$`LLRQkp$zB8S6Di~F51LP&pc zo=>%ugPq+5@c1SpXAHHy#lI1OZvO)l*`tX2`AJR*6A-Gq3X+*)0OwJN0D;VqE zq1CfHaiW>Z!Ca^V25PBF*9t2jAgt%J#uyh=66cujTR<)eY!BXia|nWHr{jW{p4?C8 zs44~@f~@Ezd$O_t zPzaaL|8}@Oasp5)M*jgQqAAk1LL_2w1bF4wo-#p1=#Rq$jRUeh{tfJfYSehoMIJNY z7LYv!ls^DMLf5i?i)Ex1cm%U&09KJT#JHJsEh)(uG4)@MQhFHX)VBZnP7Y)MS_(d7 zG?=#mcDs)0>vl)79uR!IAox|4&EZ-viq~eK;3krD$BAqJYl2P!1>`Q&hYF_Lc7{3Yr z!@3gJfsmKp=+Fe=gEM8cF+ukz?o_uMFXhmZc24uP2Zz@Ltp$V@xwE~`(}pj>JkDmF zMsV&NC6ARvz=!PDcd-U+F0I2l6Up%o#g9czeAY<$&%jTl>CBoc)@osGLVuQoU`|)b z%^GZWIT{C&|3`PL{e~!eBI_%4RE)pepEIQ{7H2X*94Sds-H}$MQ)m zFNJaPO0CjE`ym2Qz#5wQ9oQ&{=b?h%^lbFra3dRq@egR;w&^3Q*sZcZ!g;_o$_WOG zWZ?1REUvX0sQ%Hhv2@h*r|VG?S}l&}(5rw)!$9HHG~n1x7vS5GJ+|H{B~%Vf_sGT< zs<*e-Vtuv~is}rF`pX=zqW+q<{3-MNF(T_DCJFDSM!L=;TxvZf@f92BDy?s!PmfLeNiYacYF1zufG zrgjy^D@L!}y#=w{=F?v z<7l~km>liv-T`|^P|a2?@j!GALA=JG92nsQ*$;Gv#yB9q{{bLi0LxWQK>9m?;MT@& zTD6K51>~w|>FoQprqt!luB7joo`U}YA>@Nfbg13-BEINXz}W<7#06(hfGr|;^?|i? zhk-gH@1S-1IE-mNA&+9fd(xGc0)Nyx|8X)B4=`4u4T18o9$(M$iN}5PP8}HK3N2s$ zs~A5|eEW7GqF|;_(ct+K4^S@GO`A7&*f`qYW$J4-?hO6+mWi54$Hc^32BZBR>H$*O zIF^8i0@;#K)CnV$A`-ynH&wG^)KQJMMLtLDPySpu(rj>~Ak0oaYE^PW?#S9_0v2CK!eLGyw zqev9q?r_ei|CGd@!_zkc}WRIeilg`lEi?=Tjv5Z-g(2O6ixAw=GUVm&(o zj9FlbSRQ=zR0YnW?v)K;ew%m`#N^}_lPm`PFAar{UyH&&vTd<_%|^J&hx+Z)(jszC zG8~DW;fGgYIxcU_9LNfukv8ei;H57Qp;TE8v-_7fRe5QN2#J%>av)&H zd0GHW#2UTbYzg#N#M&6dsA|~U_$wwEA@-8E;7<@kV<_h> zaFt@5Z~_*XwT&#L{=lu|I%rEHAsq!y{j96Ym`nSdLOt0i4Jfi`Y5hi^?g2sMoUKS#O}-<6$7Y`tS}9>vphi?@K&)(5MJjaSZs8hW8KZMcZdAMCQo zJFUmrUIdj(XTvGBqf;!i} zcL?aY$gJz?`68mC+8?fb@gFG*TX8DUbyfb zc!`k-I=Z?x;DyHKL3k`4Xv+~+f&*7*l(tO6OlN>cFarkP>=e2%N3{0dUC8Lk;BVK7 zXWs`fH8|q_`Bm_p1FOo`k+KRc+@Ua1>u0n5_hU1HJSRM1Ft3>2pGFRxtQR~n<^-Spo0=@oYWbFW;b~yooz}TJQwIgf2>~vT zTYHiZ4ff<%As{vMcn)xU92$}yf2ia!dbM#b+-MN1#~i^fWv7PW>b*~jS4hb5v^kd- zOThFdacf=aRa^fD8HW;>i%jvrY$<<$1hE-42*_b;?povc69W*+DJCC^6#06WzG?=u zdNA#vNL4`;%PMe1bRbJ7kbx*N-@+lQgBr*)X`j+BdWW{Gb0*G8?>*tKpfvM!J(+!u zO-wxO6h4O`&UO5|Fh1)W#<4q(6g3faoFe$ovy>gl((BjPfp!f`u)wLFGtKr%gdPip zrb4kP;ApVWamX1dR0?8H-~hyjPTes>p`H(mx-UXuJK+w|c{LPEy23T+<6Xctfc;dH zeG*R8bpXvEQc(V^%U1Q`cT5k)?!!dG@|7&Le^vZ+v)_Cm%HaujXf((_dNv9uWIXDI z%}?9ErdSKs-(CzH*IigRSMlPQoMyt;ZF(2#jRJSx*{@z8zOp37ls%AtY5k-^o8_9M zB`b{+Zam>x|MZna$&H=Lw+{WDdzn4lb;s?CQvBSU&vtL07rv>(#iLVOHu?&i znGX3bRb&43X4yzl#KQXrgc2Ok4oh@PluLTWOZlkRZEbcyiB}%Rha4SrVhlffL1>Hq z*o${4v)3qa+p_ic z(sE*h!)i2gVnLj0%=lY8TK>!E>0enq1mXF3a48J!Y|%*A!t#-I7==&{_(iOD4j*}f zmu_CwHwu1~=VLa1egT1m&W9?@2gS0B`<(k!3ebD6k(Sfg33UZ~FGrrqzb zdd0hXcnn!T6_{W>#-gus55nneDk%?&D00kmC zZKNnvIK(Ao^nHb#{aQF{pzT@&Or`^wj2LTx!9(`XV^*ym{Dv@-0XD79vn1^|#^iV0 zA__9(H*C-VI|w@_pPC*<|KJJ-k~h!|_xYeep)a&0BXz(J6os4}8XD?fP*7048AN03$C?xo%vyt{RN=10ngE<_4;dyAaJ- z?+;^?NU&6(0?LJ0Erk1a=ju{HK{kA|V3#Qf)#W#BI=t0PHqjc*2_84;OIv_umY$sx z0N@&sJ&yb*x^=6Ot)VgZ%)$;YQQCwn&9Y;T-~CN8slk4O13; zs@8)xS9RB}TWSs~f})$3FqHm%L)0GQBohh>js`_xFM2N?owmAC`k#+S_$=7l;Rt_5 z(0ly8WnWi0CU)Xw`&fC+J6ilu42i9P*3WK+z5u$Ml@KP&e(Cu&9T3XVg6FJqMhI)^2{r#9|D3dbpWjGKY`eZ3U?Tq+LhqspZ zTF)}{nXB&Wfe2Db3LHTc${>9)@>!38g^CaK{u|p$8_Z~6!qMkzvVQ&gmvE`9ZD{bz zbK!mRt?>*2*-_D?e*gZx2JOG>#*GZNwzbX6 z^f_BTJw1UixCF@a2UZV$>)DS^(2gNyX<`uUXZG$|DI7P!{nRM(n1E~=B%3jJ2`&~= zLgHVdk?GpogC^7pO5VKKM9zuU41YXq5)0MJPvX|$cVbiDCTj5fH2~-M(!8bh2zo6* zo45P^KJfXwk&zL(Es#{KzVY!P@Bt?5L-Uk3?6nRqVL+SFg8LdAU8r)T`W^UD)gX;w z2B!g)CCwnyJ*ZL1L|z1prDGt+u1jY+D7cs?l)HqxG;IZ z?B#pZG@XcYHv85o13tXn)9RN0j3Ud2`xv1aN4-~$=BO}in?sh#OE4s1N zXN_A)2;Pr1&^59+1Jpe-Nc5))%YchmM0{)Q>k^+J1LG9`vWTkEDqX@uty% zl|mC|S^J#NWr&?Pa%PmgYS7pjs8ZjVg!8v67lKPMtNS?ghQkZpM=KK0k9?OwsSv!{&elFq#=#GjPa9Xm(a3Dlz7}=*EGNs5->N)Cx3XecS)qB6t zBIyPLf&%l0hWSK0CnqQI`tllc!9Kpn*)0VwSq9PV8`oDh9jHgPpaB$AYaO2ypYFL-eEX z%DL@piy_t~NTHNJA}QHkx$G>5J7}$oapnpA3wC8hWI}Sef zzzE-$w)<=#`fv?})mdRh+7b-)`iHa~+S8mLZ^Ke{G@vZFpJ)-NiNKkdYE#h)(;9F@ zy+rKAMg(NKC4+pPf7&GacM|ofV=Yty=V{%WU(wRm?0^@EyASSeaN9v-kl>X2@DB5l zn>z@9jOR7G4g%(9fHg4ry@U{oR>B1y16Y>61daBtOKd%dwAs9ZWtcta=;(6s*vYu^%9SgWKgw!WqwAuB_+hIlOLDh; z?*HetUdCDnKOc;EKzdRe>qZ|(!UEc`IxtgLl@@?QoQB{aE;CBzM4D*84MCvR?;#4_N}yX~0#>7Z!2YlMO@boQ(G-^Vwo zR0JahvPh4R5h%K1f7u%tRf^MO{<`9O_V3TWo z@H~hZ=#To|8Z9Jem5SW-Elt1EQ zfg4|%It&8tukR#VVK5JsPYZOlV8vO2CAS0j$s?Mi{PNhTme$rfOy03C_Rb+ESao1) zKx*}#r>O8lP(l-K?S8)Gl$1p{QpnO21&k}R#VBJtsp~=NKPLiB4=1Y1mN#!S@VZDT z`04X!vcz1Q&H!s`AtCBT{zW(#z>PV$oB2K*x|*VAK&f#i?I1Y zb&KsmCSvXi^nuVfZ%r%$2e45LdupOnN8lMm0w#+-I{1xI;g zghpw9ZQF;=FAQ&U0RKNrS`Tj8Y7AsITVVBpw*jPq+8-9sNF;$S)uwj?DFC@a3i z^5>5qE=XtO_Nbg?#&Bxh497@H$_iRK?Fv6Icn{jQgBndC6_=iw+I!z2w9YEO<{e(S z6(&HCUwP-Yu{`bENLGZPTR&9tJmB0pn&6Tk&J6nh+}5yxY=46gd&QU=q#y{SsX;%IDnp33}%Qbdtpe6PeivUr&=5TJoSA!kG# z5q^P=6bPXnPQ4|MB>uF}`&SVzInq3Wy3E%X2iqRNaAgsRst_l4Zu3GbCi9=V z&;<>I8aUvdPvBW_W5eLGh&ohAf6gRE&MCNGCOw?b4E;>)4|mg5UPe#hj(bji<)tRdjt5NJy}Ejj7)A3yr^pogE{V zPJjCHWmV*1o(W*~!oYG@@h}6Q&|Ca(Z!@tBiYUVV@!EeG1r5f5gfvqZP=Q}x)72$N z>|KbvGdl6Ar%zcCkQ#{M9kn$KZ!)_#9=va~4CD*4UkfZ0e*n*av#znatrmHQJYn3- zK4=?0!7dI>whMCHAiP(0>{t$4zm*=#8Nx$K83@}HQ7dk1MTUA0USMT?JtO*y{vmMb zP+=ai!oJYKgFK%S8_??Kg3)}o8!irnQwMHTUG+QKyJ}{(C1>&0n0IYDvf`g&=?Oj% zVF{HBlHI+ye&-4bCeM`IG?5+h^^br-LI_?0P|`?HAXcE~W@Kc9wHsg)JduGNe))NM z#H1-GC}>Q$6sTt%CKrd(fAW-#UkM9i!A+H(4zbldQF`bvt2#k%Z|?vH)KY|t=rZ~B z2<3nCrWCL^Vo6rzz>PnK8V~4ue2>k(}&1!_v@y_F4)O0Xnb{Jc93X$P;KlSkBI=aldO!hGiK#Sqy(!ivib_ zf|WxAblCHD{SXJadGJ`o56C8u5yKfHhtjBT?$98BJon zodc{C@#}+S{o*{wxB8Ys*6h&A0^JF@cySTg?}KeJGLc%^+SMpBK$y;S>1k=<#9&Dk z)#IDHYvBfor+}bgu;u2by=J5*Vqjo#c0<4*S$=~-2F>sG4F;BR=e7ukTVAFNOo-V@uhF<4BOy+07W)3dwG@T1X$Vbia1fH;IY zN~*>aJ*9m^n&L}<;?kk5z@4dVZqDv7x_R>^Q74h|1HYH<$zqQvK!`V8JPnFTvnd^{(bdfIlD`{gBaL&EYRRn{>aWN^Uk7o5@-Kk07+V>s2FnT(h`c8 zp^rp+VEpZ)6fH7=&zDoJW`=qR(`jpbIil+DpY3^A0YwZJOrArV{oOS46S(95<$_~9RKf1ZQW~c6Aw!0I_0RbXb-gitA@BayueVNH&gFHvKVhb zuXMb*0v@`rrksIak}O?xeD$X?HmbO|_;|CN&=+3ZT~x^FE`Q*le?hZfk@1@b*D|-l z7hrnVG_Hy(UJ&d3M@S!pa7r8mkk`h(BmM6rM9E{XB*=0ln3SlTZGMM3=3vLq*RNiY zjA>|O1pX!uIir3T6+$qkiC;Mw-)OV!ko7spr^XwQ$B#FsZg#Z_9<7zla%l>~xGn!< zJ*2R>!JwPV@Ss&-Ub&6+ANX=`X*?7&;7*7E%C1$($`X^aW{0MZ^2cW)3zG?c!oqUy z{(YyqvS>9-ZpemH@TXJTS3_%H_gvuel`G=dCrn(Gs9qGjfH1X-vWp;?LI~hOD5^pA zNVdub`}0ocshJ51B0j)b1G}ZK^cLYae<%xwbY^v)EXDf&+B@^Gp7XZ-f3u8HgBeuz z#!OjS$z&@cV<~&mqE%!oB(#vql7>)9B_Ufwr4mwUBhn^WqAZ29AX-ro{a){8=AQen z=Qw`H@%#PvJjZ?C$NkKme7~R1`+Z&Kb)M&SUApr8e4kWbGv%O0xk2L3QZcHej)kUQ z@-JNx?$3J>b7=(?{KF4F+`X`LS`kiNF$$dH;0R3?v2?weUYS@!1}7$wY}>X?$fx`< zu^y%<_6z@145eZK&1i;hU zRaXE%?HHV(zF|M(tuGQXqutZQvh~n4?4Id9MpLuA2HNxj^h)1>@?2VG-CWDw^ZPGk z=PSL7t>`N3d~MF0IVEu2`9{|IlqVOg1+q5 zV??t>DPwQ-6CLj@6A@=r5d$hqz_?76J7b)ag2|@2cdcfy!agQxj7XJ-0C`79%erNC zb<>`Nb)`#&nrhhFp!l2N!|K5X(u~J8_}Pa%J^zT3U?4kpX%qygjgI&vuSo=Kj>%w{PPP z^5UyOxz9N{eW$7FEm*oy%X9pD7Z>E_UIz|dplxH-s#P!k3D^m;V(_7>?_M$N16z>N zfkIjUz)sm)%l5+TlwOskFT(Ds$HIN1j{;1gTCl!#!hyJ*66nUAJ3a9^iC@w87K=bd zv!W=Eb<=F^4!;bX9J(1AjXYh)LdE7P1Y!5L(q{qxU@P#e+D%%WprEX%WN z7P~RO1FxEt^;urSJN}@w_85%I*@ztl*nXofT>8Ls+Y#FU6XuL?=e?03<__SM9W|=Y zjza>?xO)`3Q_gft~CT(QT#7p{afx273OYbpIq0jFIaKEgH-92B&;w)x_lQ)}fTW!})9%wT)`p z{TP4l+`DeKO+7qI#gLx{!t_e`#x>SsCQUk)u=Z)Nlnq7mjw)Wwe(PqC){eN3m?z|A z-12+xl4oGd!uUshqSDd17O0j4=T~NBHlDI(8_YZEhcyqCLh?fs6BA!t`I&!|wWS~9 z+~fHhE+M0hIQAfE!?G)oH*4~zd_T1Ar+;hOUaEg7FM!cb5)sqkr+jc^ztHNbFnJ%r z>R0MC$pV`FEUs?qE^?!g#9qOHi|I^ILi7QC)hvDvHA4j}B@qK2DKA6Df1?0kr1zxt z8ZTeH+KFNiwYh-vH{$XsB7HVcYWC4rTpjj6ORkX|Ml+jwYVi?RVD_X7qWIglw{PE; z^AKoH-oIosJPoTC8?N+{*x1>LJsYPuFbpir1ex?*vKlhDoZ2Vr$%^H6cA`WPtOG|^ zhLA;f;5f0VkAB{pw((06Vyw~zFyiT@7%zH@KXfnJL<3W_7=(zKs`|OT1U~yGh_8jr z9`#PZp(nRRZz!$5TW8P41o1o44~95sRfNd{TsP0b5*T zWe)|-4q~Bo(=;Z&rxP?bf%e+Bk@e%rA?41 zZWxk?RGi6SSQu%jbba&uu(3T zP@f>GS){wSE(@6^IoDi0>F;Y&A6l67}rktqhzDC1*rdx)<$DRGv+ z!uRebfk6BI$@Tnx(^joIm-%W(T_I4ypftw9l$mtYm)U-vOsBC$HS*ke5!MM^cL3$C z#7l^qfKONJtrx|Q-6*B15Sov{4JQui9G)a1X`2O&t{(h?W<&X*cK47>`2bCE7?!#p zX(n<_J_~J7mz<~JW2Ed&HVJq9SwZ37BrGKqONi1}h?gu-pMSU3WHIrJ#`r=%LBG3% zN#kkq=Bm(3(HUH!rd1KM@bvD?I|W4l?pF_>ISH)WfSOtq)u$!HU)V4C_@cEPvzgJA zHKUNg8TX^>k;*U+oYg08-eo6bnozDJCjheNj3NW{&f&*0;IqtFkOqxcuI(1rqk|y?Y}!q%t4&)`7wKegw{_PYQj$ceBPb;rbf$zgXwW z6o`bT zSFAy|5%X#1&Q%*bmdC*nuFe*FK_vokiU~DdZO5 z-+%EQc)TEVOgB=!YQn9|rO|gi61XK|Bc3ibxBBLlOTiRuLlsb(`b~yUQM}02#7!TZ zo4+W?|JM;t^Yc%1G#$P?WR-y5 zV(9b>|6)oYIXStu657~7`$|@?pyg@W>Moh0DyQ9a9v0H*CZJSLqi%Y3p}0XJ#8tvw~3lHXe48X}ovs zafI#EJ4UmF(gD$L5@!cHu|uznv6S`Moax?1@+Vr3NM{V+<*qEJZjqxP|LxZwhgxg? zR{&om+Zeog=JJ;V_nR$Q61;kUUHX@vG=**FzeWGQB5o+`eaAb^UaR}#EQPP>b8b#g&p?4 zR&0aaE!Pd>l$_3s+RD5wZ3gA( zHZy$FxWxYJk^hRk3*Dxb(NNo%%r%uY44gQWG_W<4670kU!4#>gtH>zU1zS;GG?I?^c0>AhHt;`i|3Lpw_H1<_;m%0f;_X)N38X)$5*+e7!=^g5S8 zBgX@izwbE%o+8F6CQ~X-R9bcQ0qLarCF$e#jK0EBi0g4DQ>E(Qb`S5~JtMMs)TmK5 zXf0>F5|93?$@P|LSB^KzKhtQ(hyC)h_y{^GgBiXl=wbNydR$3 zN4pa$Q=Gq$^DiMljOfxAl(T}Tvuxk!1idmmqTWZi0ypl=*Xc3(A1}c1N#+g~RH-#Z zk%4+YA3u8Zyz~3FyMzP7xSu_8jjByZL8y2>#uYmqFC{`I%FXtY5`0$1LdPjQK zA}_3XSwqk2g=ck(kXBo_2wx%q$`;sUN0X%ZB?o7jIyq^|^y;+|GIhkpYfwm`$;lHk zf;lFPe3Wc$s_H@c46*3)4(f3kw4=r+s|DB0$NpRM44+c!-;8@gS|Nl+gqZpxM6F-P z3l_`)29Hq;d+JQ_9<30qrX-_^>*pql<#41kQ%L5+2x-En%iMI?{M_7y6K3*!vFHV< zR3Oo;KmwMw$Cj3AS`sxcM;p%DcB+_gZHifmyEqVxX;|_`#*6mVX)#x2`V43!AZU&o zmuQ>7ionqQgSCTu^c!`;)Dk9NsrG|X#k56o^_sU1L+9&e@E~lPc6CXGUc)eBXc%yR z1J4CVNJBjOqTv8#`5vxeTK2cNnulUT!@}}OGg;ZemAxi+h4Z!+UA}f!KJoWEmyrw` z?H9*cSyt9%rKajU!lEMWsv`L}0q(*6_G911$@GIWv?svNo)UuM(^Eq$vQMKNs>d=4 zSLJEfU^XM4EnH$Fo*cbmZ`Rq+4d_gL5wtPCPvdu8yUNP^roH*?nffCT5!aY<_?V*K z_v0NSSz*??0zjLpVD{ZL=EsaYSC$E7cvIvtbfCjDpxKwDCWDuhgD$cJ$ZUZn^}S7; zb%t>YS8e!Wsr6u8U26cet!}$sr!w}R)sF_XjEwIYX_N=U)Z%IvzGTFJdZ>o@n_67) z!fff*4GzB??;Jl?Yn zKIIY$--vftztHV#MrLI6>GQtpHk~fv zp>K_}xJ2fDhd*9=8HU8YAN#70tWc`hxXAEY{^9bvW8yDris+ik_<%My-tE)`M))*M zpt&vUxW=IRs3%$$qHinDi$2Czb8tmfhNP!^#DCP()I1EG)@!w|$L6}SV|1Yhn=aCq zTK}^7HcLT^inIGIBfgy^OWpk2V)tWX?i-AK>}HbzCP}VgDG;-QC0?egGiJ^Do>Ke6 zRD1Z!KI|gcfhHv-5t<&4x}0RPqqzR#$1IBF)&^2I-XJL<2U1OcCqdYz%|)#0G&*d} zI1Ad}G8sN4p&e07*yr|*Ogj!&Ntoyk#6EoZuyE}%5oLG1d=DE~9XxB**%T!=DF+1! z;1SC_(vl2MUG&+Lr%!j5@B=fMZ`{D8Oo$zRh&dNfHLdYbAN<5Znt8l8fMq*&w_>jL zh<*KKUQUPuTnEED7;3}VD8j&+xS?_~zIUm0J#Y70^kw2(n|)K2gMwQYA0j<5Ky*7t z5AvWt%!KH}Xm3A4Vm-w%a&&R=u~7Gn`zZh8=d#`pUl0CURrH_F^3t@vdR8x9VK#;N z+I8;Sxn{Y>bY?Pjm_>va=#4uHF@lQqd;ezag4n#}Emm#^7&c^sD7chidGXYMtiP(< zK7DGAdHq#oLk2Q}xmz0ed06$6PN}?SVZ-&~8TcZZEXtXk?uv3FpuVoyW!;HFE4 z$ci^xX*6JT_VA?iOb*R01-}7WQAG^|fqr9F{GfY)cL-ik)~QHysT<R9=oW6|7plT1rxN=UBA!T+{{kZ%{5ic!LeAf1f@* za@*ijfBaVfmEDyZm03!=s2F=9P7*!le{h~{aI;;AkKc~R=)?j&OZ1pq1U|uQ!JpZZ zBcv7P%AH!3lY$&37)yz3*v^1+0~>?8E}Qf6E1iuIC)^-eL5wf5>wc|J8-}Qn=yn$F-HhV7g zhGs z;zRj*H}q``h(kD3TR&CUp(v(3~sF|7)l%*P5BAckvvpOFYj%$pzoF?gQLET#oVK8_>T_s(HoA6 zOdf+Gx*N#aYq+YaYRCSpextnFUzx)7;YX|5SmD$C?(6cD#Q~`3-9;h|gx- zI;*9dA47a!Hb>4=ZCLh1;z$JY2-M~;MZ^_*N_RN_5cTS8xQAXxgA^6_YfOic+Tk*F zdSge8@*)6tJT6te^iABJ#rE!0PxSh&WiU&6QM?$4%P-MQJ|SAZ*n4y?bFSRtNP4O1 zhDHeas%c$VRMZ!`Q;)_nqXVOV`|Tza^F62_k9l-!+%9fA@?X;V!5zoFDR(6jR#E>5 z>VNfKB5nUHY4r1{Lfi4YJ25|MRn9>6!jeUzWgB6tE@#$IXEK*P`a8+2dGl`ZQ+}9Z zR0euc)Lo3 zRhL3wvI!F%aXa}f*|_G>d0|%&y#d6U>9E?QHYqykpg2V+b!FSQSWr4YN^6=FR2}0D zL`x!6m#})!FLoj#qAR#XylaeRVntLyU|{S1M|r1V^=N;bN)g9U(GxK-JurO3CP5$d zNZlr!yRC!hWpc7^wpX;>7w>1;<)0h0l*JJ{s7xd|&m#a!W(?w*@umd5S@cPtgW=KB z)5Gtwo!lY6Z#0t7QsB`jEv>Kql`>ZZn*Vlzd-*$S$wJq)oZd^&Midd0nhq095l^P^ z0)ar0A11OI9YU(z~2Zrf;7*o8EUidBybCLtCK{PB{E#lMH8_-Bmy69f)!52 z#l?Nty^Oy~@VUT{=G<*Z`?+Qet)onRQCoZG>4?57R<9O|)=bUK<+s*i+Yp1JoK0G| zwJ-Ta{<9RNt9j9Q$c81U6WwWvv*qa+gtO2?3y)OGou`>%g$G}5>No=iB46Xnuc}rb zT5*~^_R~3nWOBT&y8Wjbe0uY~|M0&}6Q>T%Qq*&F93`3=C~@Y5YEFMctA}V|7b7Vp zeKSil6$YbSwou|Q={ca;+_k^#+G4TkleK=`*A<^ISh8dQ-84bFQzW9xLTnAd4>R(U z1@Q$>leI(frY&2p>Lsa=q*0#|G8r$SWgnd9C@+Ei?tOEBZo{(M6TyA3U=L( z7y4(I_)JT^oS8~U6Rf-Ncvn;N<)`S@)c?M%*t~^j+B9+9vHM>07;4Q(bWnM92LlZb zVYEyiF_0_6Gb3}qv&YwuCV~;$Sriw0YG@r8OGy7t-l-U2DqfD0FqXDIZ8up$nL-Zx zS=SXybS5clZ^1Y%tt3@+{82XmUmeW0imODD{q zvZ@`^DZXN?eLoPOzw`GTlLtY!?RJ2!ebK4y|FnAjxNkHw;$A@@R#l6gP2{66pPgN) zunrI$MZ%SM(Z6HEg@j%aAqAB$IT_0IxcFcdA#i#_4lgDBqgspI zj@obj$J!IR7YINa{8wXUniRvkt7Ng&PGIZU*ZX@gmIXH{o{UhJ4ChUY&E$& zMYPt@6wDZ%?odwGni44_iB^4@g9kQuC0wqb;qI&{xazvAXZB&ERABv+faTvLSc zHkwb8Z#Ez$7=Q1ARTIRUvn;9Tk3~OUO*Ah4*8wL z2;QwI8Q^ADmdoNwVT!;bqq5CPvG>R>FQ{<&L=5YUt?4A%F7;+f{aZMw&`CUzi5*;? zfgISAPVYdVeUI0{3#ePA{=ti^--tRQt!-yr981lNn&SH9lbYn({rkN|*GGK(hWL0c$}2ya=H{;@&`;Fi5~}DdE^e0s6WKRzGn+h829W> zm@?6ID8{2OETtZ8NHZ>!)(+GsQYnUCJEE#f&?^kdcb@(r7SD1U&sij2ydTe}>?EO^ z|0Pz`e&f~+5{uPHtII$TyuS^hHR^GvhQ#g zI(URdwxsA*inaW$0t1~Uo`B)w&!`P*bbedZo$IHPFufa}U!z;;a%^cGT{4rWG6787 zg^UemOVR0XAp*^Ih(57qE)%LSqaTUGgt(KT7&G3qzz>Rp4`D3v!gnVoYQ8BE_Xji% zniaLHl+#k^1k-riu8fsCVO%P^8fZyw*LvcKtK-w~}v56=2!w({ul z!?iu*w~L|G*O%7d!x_!2UJo&>9w*6+`ZhMO&>TZCEj?g9p6&b-qZ2RdD*e-F-FiX@ z?&8E<`F?t3MFlciXQl;ur=@L+l(GR7QQpe{8akXJ`}Xh0a_$YM5OwtI$&=fe=_v=o z6ed#4Dd#^dfgqq}&H@-owONOo|J=TNY1c1%i95o3gtzh}<1Caiy4UH$%i642vzO{} z=jh$gQZKk(Aex={w<4ReY)3P!Ez&Xe7ob4fu+75yBY8o>xQ?j*61JL;MssI- znQ!?56j_oKIHV-ZVxI5vsTGeL#StXwcL9W(yQl`G#dzrKE6Stq&@s9~kIInS1H zQR?0O!-o$>v1Xfw*NGdzT(1RByK>6%M*kzPhVSFpeCH))gO0VFRA%BjnUWU~f4`s9 zHC8i~G@x3{USO z*0vW6n|CzlazcXaTgkOen>Lm335?RqfRtn6O>bw@|EUsV8ARA%Xq2wEJ$2UN%H|!T zZw;C3o^#~4)tUTb>+&ZMFw!;i4v#u{b2B|D?rG*T*+YbUJW2MBAFARc$Z}g7yRM<)2oXG0us>yrM@1BKtc1b;|FSwc&T5R2k1` zPlc3jji~ zxP?kl;)ToLB!9jIV7E8s6$`%^Zudu4YrD>5x+dtEc8jyM%NtnRi76jr3AIM$_LPU} zG&8m~U>y*%sUn^)_I=ziNTg9Xu{QxYM zYKdiA><>)(RASr1XOPn@nl27fd@Jg6aSw5BD;aWaKuI*)vhI&x56lX%onHn8LAYCl zbg0>!@#%^EZ10q?wO1b7T2D!Qku2ZCg??Or{A_9;&E(r&J6{j~xPM&PVZvDDzA<-9 z-!74O40!jVt3=W=zQh#|_ zRi0X(DdYBHd$+yS*eY^2WDhop+Ffk5RV{na#yJhCAS}1nCw=mErO2pW4Rm3(mf5@T z>t-vD1<9!`>08JW$FG~P=i?Vr9+Q~rnCRL5EojR(Zx=x{Y)UpaXO)SeVg1vd5{Xyc zLkv&hoqLY|8F$p$4ZHA|RNt}h zvv7F0d%(uRNiKVuIO)MyWbE)cWYHM@BuM(8ynOADO?RitdX{*%eXa8>TT3A^B9Y%uk2T ztO)0oc=ktIyEjbtex&g%R#u!X1$u1#ma*@U;}PVZg&tH-yd@M=8ig<@EFWR2>( z+~MJKND96$Yt>WU1rV^*nmz{fo%VnO6}07+CqF*BhfClYKE-NyQjmI@#b%cGs8H_R z_W1JNWY9of9$IOJ#mjY!*5Al{TMd)7lD17H*BR(rKe)e+tK*QZ@8UlIp-O5tFZ8Xg zC|wb@wvo9|e?ol8UY&VzL5_Gs`^P>xXPCfD-)$3K?&_n-Dbx)A`fjCezFOk5i$(Go zK`sTa4rs@gggK{ue3UPvk?PO6Pckev6OdQ@xWmQVVOc+Zv~K@wLJSGUn4_rAFoQ5? zoT7G%y=HddrO)xD95uB&zE^Zg}{{G_q z_~NY2KFrmrtUgNH?43*Ba~9FrN|5jmBf24c1&f>wr#Uj?<0O6 zJ#tJR`@3X({S@t(W8NRDN#35}#}9Yat;I01H1_J-C>?N8GB3^`VaoWL^Ou}HJ~Yv2 z*n(VcO`;Cq;mBq?m$_AwXoj(a@uPHPGNfMCs|WM6)j;_w9^+<9yU+l8!@|8GE31i% zzs0*KP<3)e8bi%g`rc=5+kV!%&2C7g-NWr&eD+=qhtA3?Fyy?!I1gY8rTAQVZ1W?1 z4*AAMW-BW*Wi)QnGIE>-ia#m5-@pQhi%nPe+IUZe8&OkyzY|d^C!yFXtm%$+oU2Fq zp5awALc}_z>|UE#I+n3)%O6>~l*$@E;O2&0Dx9pXf3ej0sfa2OPo~~JI$_N4W19?X zldF%Hmn=513?klTJgXrEESpf_KTVUyv_ppuRWxU`Z&PRdB$fO|?}u%Oc`E|vj?D!$ z&)$za9zrK;}r$`qX(eo)RuBz{VJcEu#}cdwbU?XUWT?DCO*!FcmC6Q=I-n@ zIjQ8rr`-eB&BAl$TP>4W>iuPO=h@ASdpQei?62$L&XV-BqZ@AZUk&g~_RJ;LPnZ$Aw0&iQdpc{?xJLM%38>Lo8V{g1Op?dkHg0ZvFQN&vek?zIE zyK>YiZ=`HlZpsTKTbU(4srmu;hUp)7s|r=r7a0tNNHfg?o65nA_OEpl8gBOSUFO+x zLqRSju=!f&UbktZxX3B4@|L%n#f&lIRY_rr9FuvWA^!Maw#C1!WjO6Ykz{U^^0q3k z*2J2h)KX(}Q49r3lF=6*e0mi$k!aMuusZB0Z@dpO?oS?(__EGi&$j37U#&lppt8Po zUINYI^x@vj>e`gLJ3OYtIMk}nU%K=8K=f|eY1fEX7kaaAM$>$4!s2g@AsH1s(H!n! z<3kf`gpOdPic$`Kuu4T*O>D|V4&X|N)+~?9P&?`m4=i0OR-6(QEF%3yA86$jeba?k zH@yiUFvu3JEI1NGK~s?>Z>@SI3?g{OmJhEFs$D7hMI*IdZ^JqS<%FM)tW0|eVOE$-2cmy79IcA!OP7fNfk87Mg>SQ1eKzT{P6RqLYXWKHgcYP;`eo+CTeEe)#T$BVm#7@^ zJV25*-9E(i#dg~ybLQ6l&|mY+GiM10Xq~up9f&8MOQ}U(d29GoOVyqm&~5Oh1uPn| zuJX3#E3Wc>WOBvw#@^ph1O{!m`BQR5!0f%tC}#^fm&dptqq&j>WI=-%Hj*ujO>N8* z5B|AZQdnF2`vD|F<3W9DGxusS3|g`2=?&Fr>?q}*$-XiES6`&qcGHkZu1RkyS?Uvk zG^HQFsUJUW_YY>}ZF(pDmmQce45+1k;Fx=3u6Sq0Z|ColFU>WF=t|`ZJhs`{L;14D zy<@37)Ev^pBBYNX!#X%J@i=ro+?}Q$;H#0IWHdg#KGmhnZ8+emKwLgrYGMyc@NIU$oJk%bD`=}1pA{cU`X$G4 z`orcQKic?7CFaVLHIKK{#9Siix7%cvF8?;KjDbIWT^glbmS!E+c3B4p;-BzniG8y8 zA2n10Dp&+y`BTJoml++Qqc4w%7k&7%GN}+#PR$|*zr~aCOPpU@R2SZZhMT-RWd2TOj1;!?B7=7-#@p&Sp z0e@WWnYZj2Y&wyGH*Qb24Cq>HdfB^2+ue@j9DD+fbVAkPWdyLc2)&_o2efNVb%u<# z{oT9n64!dTK7yRtpcKr-8*zY{Tr6*`C8`eMo+P(5=0D(DNc*Jn@FO?nq`cfcP<_$< z*^8`_oj+ilYb_u0OWKW@kr^Z{Vp;5>YS0zMULt zd43}uztlU6$5+Jc6MqYYYcgfg#;+fXt3y{F&!vvdzpc_&dO~B)uhdHPpXU-K6Z3Yb zT+53mvn%PtGo)A)yS?<54^SjB)HoG)d9EZSPQ5LeSOm4K^vK-%)5<`flQKR(jN4ny zZCo=t)iU5qU50LMn`Jbd`Fxsg0~86S24q*2q9L|RnP&j}~cDHZTEy17nY$n)#qBwEk7 zq?GY1ud63ywX*SIU*)Ym`}IjC@M^{#%;3l|lmLE51AWU4$OT+qOENmG+#4%x%6u7)|7+*%R% z%qd^(v0L>qm2LaC)+P_f7cd9#J%&IPv_R>+&SDL#mPF>lNe(R}yon^{_N}$Li6ydN z41AXee@ZA@s(o}YD35}MQr+D}KvPk0I3$)jKVEfuzd^yas?e2AIYWK=Zk_4O;1m9$ zm5(eo7Pz;(^l_^UG6_(m{?4aR%qSVaLwPyK@tTwy=uOkDv4Y(?D#R_iFoJjh+7PWPHaJkd=MonJ@!SZ+ zDK;&Q!HVooaYi(oLh%$%+k{eR`=U3T^X@L&vzDw)czE&7#2Rrlne{nG;1{|kQ!;B9 ziWo9mJy{WuTp)lN-o5iT*DTGtB!Jq99he{(BmU&jliaQBX03i=AE!3XEA`#Q{QF#M z!)4?=easwV;M-_VN-Sv_9jXwUP9(^ZkNNm_MhjSu6k5m^vRY^9r_(sAr}n!G^8K1*)4 zWwWRkVUDAremKu-Y{$u=Tbmq@oqMp zM{hl19~+8x8A0%w?Y?{Z{(hrR6~&6VS>w50t0E`FrF~i=YI=IchlOS=a=ZD*Puwv} z<;@yifYB6`w<_fMu_gjPC^Jxz+ zv~`dVK}L`Ln}+E#)Op>z9BWqE%5}upHxxEjG>#P3VY8 za5{>)1MJTqq}abSCn@C`2UygUmE@t32QZJO_4_5H8gP`)tZa)n4an z5hv=-5N?qcVJ2_Jz_o`^gU=G{BDo-u$=q!7c@y89DR1TVSt(1bYX4#l1YSvu7Sn4Zh3dEjKMR{!n8^0Aw^zIQeBFbVmM6g>6P_d^Jmbv_m? znoxhOv+vr$;<5?IRC%X#(}TIb8Xk0)JE9z<71iKmn*4Naq9wn}WRUs2p>??J1lCf_ z6;)zXalJ0A1aiB>9w>rATV9{+ukGvrs8Xuv8m!N~g1|pYt*A(M%w~GK{pXH-eABn6 zW#LZ(QtRpq@WM$jSFW%)!Jm4}o4gNQh9ODpzkJtCD&6ERyZTa;TO4+lM--^69AJa_s) z-cK_JE&RcSBN&FeQ)4U)%3zmg@vf;!LozBKm> z<{TPe&fV$&F%Z8w#2B-;mrShOltQewtQI-iA?f9AQ7?;RST5r(w=1;+nb>!H4;TfI z9U12m4?Y6G7jcUw@YJGf36#EBuLKW7^-^Y77orHmJ6}`x=gF0a7VUjCbBNn=D7|*0 z*8^nM&;f2YSx_tRJz4VUK|mow|NH;|)o_sZT<%^Y<*K5YQxdPTu8O5{>Q>c!+H;PR zB=w6HeJqzP)mH%F$zGtGSpmtC3v>@q6uj`&pc~IQbw5syb|+Bl2Z*9m6bScDW%YilB_1`lgeAwfeR@n9 z(GoD8sy6VpXLk#-%0)`s;1p+HwJWoz^TsUA+$9QCSS910P)JJYqhc3~r~u>?3LX!o zU6({vFs4u^P;hA?(yR>M7EG2le!W$2!Qp%qo!quZa@9vS&Kodp-BCqRUWvD=mZo)byc~GE1)NM%i}?k1xJR!9$%aP2Lv;S4ds|v^fulD7$P3Km2HkWx&r7@@WXeO*vAOo zy@GTx(!+y-wc^>vLN%B7f%7Ma3aZ3KMq%Ua(Smim_+(9VkhUj+G62#t;0)qif95)% zB%@_Kju>Ap7>;3K4i`(d1Xh42ZVNJ#v;2lwd%EO&z*8bcI^ zt7QM5vLH?&GWKq?-u7{^hG}OnrMrTAXwldH`r*L?;V5dQ9-N)fdsYA(uBLd3$1(ar zYw13GM1lY<7`9rO~F<(P8K}BSiDkhVg_G%l-pJkSI_K>X(W1qV>olpDpr2hn` z<-k9m@@m4ZRV@F+shIuCIw2NL`VDP7LVbLNO(dO=BPJvIYU1C(6qP(){1GL6K``PT zj2izf=T|?~E04NPZG@}en=K$qsN=ZM=TYVI87z)-)~BRwm(3RZCK=3*_^-Y@ zCAY0^F4F^MuMpMplz_jR2 zs4Ny$O=dUGLcuu*#(!4$=Kd9ZGwd-yPB-= z5puy%@ptPxfnKW#w<8idz;F7O+AxU3pY3ClSM;3p;V#ws;MEvlL>Y7Q%Qgae2di&$ z%}eQyIi-*jAh?=zXjQHwv6EW-w+QJ}oDR+ms>-t3D1ZQG(!e_fLMoq_y|)@-X>RCdxH)|? zexM=;YVK&saavgo!%t)Ac|!*pFy4G!I~m_{oRFM2wcaU`1>K!RYE-p#b8b{G5P9U@ zjDdDw3+wXP#d2C3%5T0SX1Vdze3zk=trf4rsTvhaP~PGg32vHgWfdX$r7*D4v<)x)NpIy1Kcg;t$V+B6S=fXu*(6<;Z5d|-FOsXAOlr2f77?0 z#noj^&p8PDg@XG%Fuwc`)z6;21baf2RI%Rki}@o^Lb zx=*%$qZRmP0yrrDtAog}prCMSj*5=A`O#!~N2tn@H8}%Zw}XO4hSY^l8u{?k(tG}i zU<+}V`7&_^#ZnSg?T$LU_xV5kn<31j9qY|_?Xc-;qE-PbU3`D#Y4B>x1y(svVJEY` z%c*RI?cK=vs*F5)T)D}N;%yA=g@((3hXuIUE)hZGvgLZX0fY+#n=9%x?;43D*e~Qf z;YsznsI{p@Pr6!#%EzhQg+yk*95GodGdC?1(E+h6VqY!X5f#e{h8g@SSw zXH-!0B+0c|oyr?gyCcZEy-VwOGx_iR%z3%g7Qa%T&#dLa zFikwN<#B*snGmTt`uQRQFZXDF4jwzpXRf>x{@ZFp!3_y@Lf`53=py#@Q9@%8=s{Jyornq11Pz;$n^WHvYe z3x%8t^=Pr;TcO9NOKqPLGv?x^Y7#mSmG1; zI!nQ+M=*0x5Iq5kLb)Kp1pex$;}qZAN^u^>MYV&e(eFrgfF^6(wP?37&~{~vIzly> zID4DA?rt*PdIvzvwCfMgZA-r@#BCy4OvIy0 zjyYTZ1}-s0O%jQ0M|f!&A}j4JE@K|h#%z%JBRVOS2Q<>iHc5Cd8rlSbsz3ag(aSHe z(ZfZ}?$Mm`Jmzqwl$YjTALNpPZO&FQMKyHQ$UC~A^^K$&;KcHXA`a`oj&RfKTJukh z2e_df5ZDZRcu9QYDIMMwn@B6Nz0ibVb6eAAOG)H@5$T5nG`-{dq15f| z(1K8dPIWvai6nZ2cq2e=Wdl)t|9||Ea}U$&KnBbR`_l5tPXrMb#i|P(ugtUkt0?(I zE&_oa6Zl2wXChoMj%EDfsFGe?uSK0avtUHu^txXqi@L$ZV6lyXa zB;V?pgEt#dum{2ZX>5KE4|E?-QCqD`Mn1oG8Bkc)wF4y8pB|0iZ}@T@SHX!}Zajio z8V6#<-D$lFL`;WI^so!+E>YRnahepo$zYT#$*yH*^aI6*z}15htfCjT`RVjaQ)?iT3TVV+-}KEF@7a~@?U63Sc{v;^v>6p+2@ z82~%3O-bGHHXN`yL{bH3G_nEq6OsU`Mx>+3uLKbd;-mJBd)6vgE*P*&a3Jap z--Nh?DZ=b!y)%cPLqMwP)K=61F|PS#X2$dvp9FKmN9~kmtZ7FmCo#_i9_l`gP!6e+ zDu@kXqY?%#Aju8s=*?!Ou=o>@bma$%G*>wms3}Ye?~V$6mij*WSh7UrkH23$wRgJf zGa3x*Hf2|nRl^hoHW7G4TpZZx*(Vo_c(CH-9qqc?G%r}|Jg4*+LkC3p5pfiR&?|V_ z@}tD4D$+#jx*;n@^TVl%xx&ao!4zRyM<>h}tOxXAXN*szP7P&rZgO$!gYa)gKkOL? zg4W@cv_b+4GE0yIm@;w&1Hr$wp~B`dPS5z;4XN{)9l@n-gbsK&>(yZAl9$>U?GYhX zM^H}%CY%rI!cJ$n;to8-Mz~ekLUE!{9FFHgY#UiD`Wt|`@xy|sm9HKGci5VqqAElR zq1|}2=3C3v2v3=iijY*}`WY0G={-L`2+vEK0mZjB8$K&vs@oucQK3NnGpkQuNb+3E zvly9#@nFEr2Jb7oPhGCc2SN~=$OAv zgO_Wp9zzzA^ z^q&Eq0~GDg$IlRQf6yY;YxDnl&x^}WZ4>&~N9mX_RGr@K=7t%My`h}9#b2+^gy68$ zNk_&ugtbw+^BmAEPHcH==Jq<5_d8_NXYp8r$FCI0K{ghXOuk*!JNPX9s=5^(@IodI z2PL{wJ7S_S04%!l{UFOw<ciJ!)Y*tTp{zZD6bdtJj{AcvF7HS2^wFUB$|>Pils!^Rgew>8xGk%i;H`#Z zRU7%~;WmUer~CTDg{ojieSAr%5oE!Q!YnAeX#6$5qkmr*9*mqHPx7H%`n>5&)KsH> z(U1y5j*e`?uV(U^Gf=EP#FOI{q~g#uYSmL;{2_9F_}vU^kAfJh;mGemYaRqZoGw}^ z*f8~^7du3)L8DnA&g$T_RbJtej^wE;Ez>O(y(ZeR{aIb!siE~dLSoc}0m(O8#wRU* znOS<+-YfGN_~q2#O6_O*E)~yW1xc`wqFa+PEEOn4Ae%3sVEIv@nuvcpPwu?n$lqT_ zxMBRj(MKRU-)ueq=XoI}KPmkTEXQ{Yj4{_K!&n$H-h~Jyd$o!Z+47{D4E+(`OisFq zkKf?>@>B1Qqa);pHz*(-v=Y?7W88xv_I(;yBn*mW>K6?asNu!TlRRW$RM=ZB*hOjY z%x2StW;|z?h8Bv5b9aw)Q*giFnwqbka;Vjv+FE6ZC%;X0OBKe%i+asgB}|7^`Hc`- zt1?96nO~x&&=BbL>swey1hc!^^V7Fkfb)*;v0l z@Klr+f^=v|g^jbT>fkX^E{}Jp-Q`-M6QoL%!mDzpn^H}|NVzO0ygy_6Re~LfblB0wap=QZobL7!4%ms$VH% zr0^LoR#uasHib1ebb`QkDjzN;;feXv6_$3OK-{5kziWx_BS@6`(+jEmM92G@9*!K< zvxHAk30ZMdL=9*(YXTg^mTg$_mK-fW={-O*{f?T%QSRecn07V#yRf+pzd3Oo1$6{1caB#-Y$ z)~8HDYsir^cQ^L*04C?k{t+TW z8_17WihQe-g)?51-Ev>5;ptZj#!{j?5h>#~pl%GU2weVihW3m}I7Fd5p7?Ar@?`lA z%UjS`?+vTT2V;c)$2KYD#Sxf=d|~st=_bl^mAKRZU}~zN)^L4V(?u<;v0)wN15&Eo@_==EH@2OgusQyjvf}c?1zsB1rOfpG(w*Mz0AVf5u(u zKWWP*;n@+Y0&mB L@Ap_en;riL-zx%6 literal 228031 zcmeFYbyQYc)Gz$d4GKy~D&5^JNJ=B!h;&PLg9=DUhe&sKi%O?-cXu~;J;xL8H|`ks z`}>Y@&rt9v&)#e8HRt@roI6ZWUJ?WK87c$n8>vw69|M1A}ube>YB1U=jN%p)_i$1_&OTp z5j<=U-3um$Z#4TK2$es|*4L;NPcMvFXiumW&KK5dm5zVgbFyrfDSTsFI69s^{XzR| z{F|D%j)>}86{ap+(KraoXOn@0$ZmA%?!LFtuVLE3g)WR{7dKNcgE8La&@YUMc|$xiYBQKTrw z^n6s|l=I6ctMHeLR27k8gph-1eB2i?8hN{Ku~GU%lJZVE_wY$MnA^2SzTUs?9_;4* z5%+rJVz9i}s#gW$yx$3ZKGl!gG4DYJJIvtk3c>guO&iC?$Fjp2)o-F(uwDamH#(!l z&i~?o!aZqSc>`td329XclC6EPLp_x%oB`vIpd7Jv>f)a6gma0tz~^kHzb_U{cUMpB3zIYi@rC?rHul?kO!t=}JB-yujHO zB%-jb9}^t5jpJyg|95Ce@pR*T#xKcW4D`tJmU)4a%$Tzwwss+>l4I!a0yEWFtoxXb z|10rwKn_mRE2q}<(M64jt`TP@BZ^;5a^n+}V)b#aE5=p*FQm4qUDzpW$lG)?D(Jhc zb&UVs;Pbisbe-K{@hhVdg|#ay`vy+#O2X|4 z`L(9XtXnuSOO(3)+=*Q`-w4W!3uZRXIA*@1%sV8d#4dwfjs(>6GIQLT9oi71=YO2_;UF- z8^P&C>QRMJD&wivu=#f1Y$<7XXY`C&^nt; zNtSzG;eAz^yJj=+!n_HLSs_0mQDRS6{PNdLlqIXm+jr(E+<&~Q2s&*xnTU3C4G9)> zPu`}SRqP0~62pjmo@#}%SQCMTEj{U$F#(>zt{#GpywUAqt)G`KujV!ZqzQR<;?rf4 zhX7->ikaXHYhW>YF;<^3L;pIY?ax_nhg$g6XH48wm8DssjOGL@OpZ^Jx3~sOaJCs? zi#@s3-n?Lru4gyrUKC4;pPf^CMq*2~bn`BGo|?*)@~?+Isw9Y`HOQf7X&LA-c^@PG zqLf#*2*YSPZMhN6wbI7xk)2_%!vt)$)6Pe~-+ptxB_c3kL?&!Gdc~jeDZg*9P6$6a z#Vls-2CI7Kul{FM#A6*9XDYt!ZY8a-lZv%MNi_r;wVX9ho-lUan`fz3#Jya*9!|pC za5u0DQBoh&K5w!T?qg`noUD?!YKj_RbNTA#3%?bkk_;Lb?h-?1{2v$AS-czC$?fuq zK5=mp&TLC`E8!;v7e4XpcG^juOzM-PGqALs;5KugU2=3VV^4WBU_!K{BY>;*poU|D z=KFx$?9HjbD)ncb`g|Urr7kJsx&7|@CtC%oY&)cTA?KLZrO#{a-=axTpj=2*GU684 zIwb93V4!_b;D&$MvI3VtQs8(%v`vUjrw{Waq~_K3GOAR{jupzK(r9bkLu&S}at(sSccF*8I+1;jMW3trgYX94pdAkKfGx2|7Ft+_7KOG<4_r{OhH*Hj*?J10xuZr|3 z4aPwXQ#;zB>@#YTiwy4YfN9x z=)p-;a1Luj(BW;q9dY)>EqV#4?z1KBch9K$bHBV>nHT@YZSPPQOcNI9S~mx|)WX@5 z`Lq9?_9+p@@R-1QhNo>4m7}`Ix6KG=HR}G{=|`fy*i9W`H&$8R4sLJRjT(fi(iq!s zs?l%M#~35IX%1@2fg$o!K5c())YtvW6Dk-z8_|nF;s^UK4xwjSL`kB5 z)@gw=C-s`=e4$O7!aa5z*3$QZGHUb=HB7oasnAk)E)tR+jSuHc9`<&{2PPy&@MuB} zW#02A5~IRl1oB>O+K=*J3^MzD;ewBrf`{CTG6owBY;)a=?Py^u_zExbTSKqA_u{Br zpGRE^pZmHQU+_l`J~QD+fUVMTFdDGz18Zg7RET2Of${s|6qNiN(=@*)0b;cNzNkn8h3 z*+>#W8YU)0gWfpCBJJ9UiVC(kMr{cJk`VFIc}L$?+sZDSZ*5_159Ia?x_(%GrXaRC zXEZ$yAU7M6}bXv)a&=sF%(rH4MK**CPmCvcCp#xm*@^U3ov*A6h z2;(8~B9=9=8De%DVVjUqfZw}$Ak2HI@a9L0PxIWuygy{O>ojf(bX@Cqy zOZnR%2E#f^p%cKAmD_meFB)L;w!EqmFiaXeXDXrR{y2U?r-r%PPXE^_W)Vv>FWw*^ zAfS^9HI042AQejS_lNa8fa9-i_&)o|&~kp?9UG@5+fgp~Y_C~xEeb{N&*|?;wV*t~ z!e{YaUS3vHSJTny^M!#UW7TQjDlTE+rVbuY?^3pbJM^5p))Se)97#Lwg8!T7Ia3(J zfJMjGqKY|%_iJZQ5o=#m;%dx`PaT#$?kBaX+nb)jNd{SJ=y{p)`N zr-D=j#LBUnp}D!agVRFOn8 zL;u+?Eq9c&8F@-+VPA&l8?$CJeluId!v|kc3io{pY4q+gc00r}4%Ks8CzDasf55Mb zT$4DmGry!{Ks#t`Z0yI1z3&^hLXJwZs(H$g<0T49Sxml#Juf`h*dHwD+S}Wu2x@RX zRII!+GfpNRkX$ZyJ`2IXu{L;Wy}i9Lg`^wBBYhT=)3VMJL_HVi#ihHDJ!_Z& z^yd3`+|i6j|0Y7zYnaR1lfe@;LrqOhhci-e`$jh>;gI3evPWVscNhgX&uwg3%j#|J zzT%E&@cp-PH|#vUinr2w!RC1-CGWbUDL-#+UB4})@9QUY5=QgAmy0FF(;761uG-6J zW;ux|UPX!hD@sQqRvj0kl9HaS52Vg)_kgdma&j1Li_B^E=&=UcXaxY12zfjvf6f} z2cfg9+1&ut7{}T2c!XdFQ0sA|6M(N|YFJD-Ve|`G8zjo#1R1+WG zR=Pdj2&we#@cZ7dum}4Zo~hJB7vpu0;sg&OGhw9W?31_4kjljXJ0aRWDpu2mCsqg zTjISU_)GZBWU;AAzfLwQZOHDMTD{jVhG*3F?ofCN+YgrC?!V=WJ5R2&2{HLMKr3uv zTj8AP=;(|V+x$*sso3F{}8 zVhC;dZ8&XO*eKHkZ9dWXd>OQ8lkQfD!De0R9zWZnD1M3D>tlCljY5*Qw=Xfm^ctrc zl?pZgEg{Swb)`>R;Wno#O+V6URldVGXnhcR`t&K}#Mi!Ux#<<%n%_UAWRK<=qT(m$ zak1YoibO1KXlPhSSCpT>)O;~-yw>vtk`9~cH>gdVA4@&_pHqMo)TYvw=5=$v_E`+m z+{pp&Ygrli6K`OP*A470iU7uw>W1anSAH>m!qHL;>JVEPVMMKQPF_cTINws(2b3mE zE0}`qxMkeY2@-pst*L;&$uz$|p>J}d%fZ0ra3(DcO_$|bb#?XYRK73A#}2-Pe#s}( zBJTfzWLikgy@V0+hu3^jQkU!B1Xu1yD*qAid<}DcJDI~YNF=TX^D&JO04hZ9heX9Q zm3(*n+TCokS_axe-YP`H3LtuBh8vqlL_Bl(FY1Zsd>}tP_Uoy28=b8yC1hk|CLIR_ zVT_!tYqA0VVuLY2uww`_#QrAYv)HaU)#)3pR#S_331|1*j%A40H4EXa%4JsH9dq~( zJIRVD;#X8tR2)BEG#HkKJaG`2OC6ZIJIor z3&O?ahBGujq+_B^u{H#!oqF`)vgRLm+5d)^(_4KcJ`fG1{a}0L8lUd(Zp6N+TWDjj zvIG~qHSS2KQy|n)bzIksD6Q-d{Zr8L$@yWv>bH9DjTD6t=R6Q;DS_{S2-@7#> z!yCoe|H1Hx0%Uw09i3UG4)&~PjC9}X>hKLN8t{*;&E^LG#l;!2xb@9Edl$2RYW%2@ z6CCPxbn#w6Nk1%hOw*bQ%;!Ee=I)H!q#^fofzA;k=%NPyT~qQe}K%zN{8a&mIb_{TKJ#V*|$o;3kKpBS2ja<)C#%eH+O8WY(*e3QIstSGF^$(w{NF$J6hhj$ zV$WqWJ82WHrm9NefialjJvio>sD9yyKQwxY1K=&aR+OQC`2Twt9>fM?1#iG%d*edxl4om^AeiKmzG4QD|V z!9|mC(0wQUyYIKQuqPA6+MP+9meWn;oR;Hd&U;$E3cmT)qkY0JcWRY=nx@ONU+%cn zDE)5>L-U=1S?^2yy&fJkU6)!z;DcvCepuLW#?;2JX!o^j-=z_PojG@D#mNj(o?+N=zogu$C= z(>@=Tt+T~68AK%MEwhFxQ=fBZ4HLKJlT>O&VxkzZRAzjH)qIb3Sj=&@N^i5)Me;YN z-rg+mJAkPs^*U8jwD8p4~NM^Hqz?zp!TND^U7h~ z=i%;aO$`_9Ep}Z}4WWm+MUDS|WmNJ3Z4^<|?)Jk|`n28(y@mIN)!MM8T>5 z{$GVEZ9(u4vPX}K{*%vPpzLdv&otw>4YO-gwZ$pPS}RS3B!~ zcF=T!32LAfzA4aT3<@lMBkv1pi(_&6eoInkL1GfT~|FpN2vKM->S~Hq9QIkDk z4SmRH$CMzWkASebDFLaeD6~9`n1S<)5$91QOG4SE*08$37<8 zwj>^S9eDgOD(CuG*wFB-ZS_M9;d~5n{DeHX00(q`%JTQe@vU~h2uwK&)%O9W)bCdG z<`osKF5K@eOtbJoDcH4xLntsvN3(?QwiHsFr_Ilz8}W4PV1DPw8J}%Km;2~1E%Ofi zPhSde%#2NAxcA+)bw}QriSnB_uO7kor3rdyhkRpxejp4UBjaBb!=xG{#sKd|%IHoM zx#aPz;~=ZuVw;2s8XDTxR3){b$N8!+9OmM7Vd?tWgnn*OQIVh+lwM~sV?eEftfB$F zoubj}p$xG^AuspoRU1Aa-c};`OZ134Nj$79urooCT~!?%$(B{QNwNP$08v#{ef04s z4IQ1#7mu60T9vi$y|pc8#h;vzMBBjm^gdPBX}`ZYPyp1B|DcJTI`uvF#jGP1c+LaQ zwBNjWQ;_;wo}cl}Mqz17&nrCLA74cSXlQ8-NAr|!PjiJ$072s=c2oh0>-KPWk;r5J z!Zh8Bt0M#}7x1~**x0gzmK%rRS9nL)JEb_0osK1r0BvRgnM`qA4m&+qNMBwyl981q z;Iw$Mk?KO?bJ;PzLX?VbeWGxVp?ZtKH6FYyjwxo(>oAv`C2>;yb^WIuoY zJl*;oVjRI6OlVW*SG(ZdI28k5v!2%X{ys+`ePB#ozd!Ub`6dWoKxsaF_%M3zIggZR zl)!3?sIKQm3FX15{4VdhK0nv-zFGtFhB^0SB1zk#7a(zkT}# zK|TjI%qNpyk)-Lr%MZZ5+ABHX;(;Ig~(}OWO2dy=iechc-Ad`rb#Wu1Qu zGpVYnu^E1cXR2Stei0@0>lhS}SzsAKpo!jr$zOyZ`FpbG3q1kfdzzi`V#|u%H|n}S zJ4t=|;IITfSI_D8ov>GkTvm8q9 zu%D4E|K`opPGT1#P!=rhiT9qnk>2gu`p7m4BKyCaNbL1`q^7Ca4GyLsM?oN}dKNfv zoxmyUL!nL?GShB3DD=EM?7$*mF@TUud|J$m6zb7#2E`DyHFaAy zc;C5m73nLOqS8h@sd(NJltd;EzwNC)wClVAuZqa28nfxAiyf{+#Au+q_byaoBA%J_ zpILy-nNreWvl9~e;^N}$qM}b^B)M5-zNsHj{rVPOCBnlOO)0;6BOq^YPwhNq5?{1n zexpS!(nFux z&rIS3B)iwbsMESMa_TpZKt4;2@jI^f6`AC|PE;;c*A@fulD~&U>S-sx*ST`!-nhwp!Wzx)P9UcOKt31@r0|BjBeYyDe+=J7y~vSe0{$o}iP!1y*QO=`r$|`Qje*pi zFZA^EvV{6f8)wJ8%vk$%D-j02J`uD7V(VW}P(Vf!i3IKiRn!3+={`b}#*u=`*18~C z2zIt7O7#n7DdTmpp|t{_4EpksEA-xS$y^8^#xbZA(ukm?TJ9Y5DFYBOQ16c-ec*vs z&Ue=XCGBfg7R8(OKK4O$U$ST6h%O6WE@cjDJy1@Um!FTaKA5h5z!y%yPPM|i>M+0r z_The%>NvpLUZh#6+^GeUG&VjSiTzz4vQ7P3+@c>6NtcE?7h^s3@6^_jk&(r%+;q(G z65Zq@N2c@((FT0?i+y4MsJu?h)C+`5J8Wh{U#rg6R$5T~YutpvvF8-$=HyVl$+4U$ zA(*kGsaLSKx1Zj#zDxX_v@=SCC3vbhAegGF)AFg8HaDfB-`K4G7*z49=*!kW2{GlUTZq{>sPV_VIS{l2SBLnj(g}; zOm5Ei2uH`q$LW8wOpWBLB77` zGu3w>oAdWpeuZ1U(OxLeO^7GXL-tdIxI<=&Dd!EJI5Vm2~_PI#)(m0 z@B@0y=in@7E8zM?W%s*-H%e_6TJi%;Erm@T>#;_DmQCn+megZ$y+M?%K#y{MtVm*3p9 zQ77FoGM#o3jihS<&2hgF<#_q%ql9*IV5v06vwq$*oj3pp?yPX46xb-=hRq&@OZ>K> zr=#n!M4yWD_xB&Q?=&ixkgeLkUA<{qb(sIYL9T1HG^sr;&+-1Q17-fa39(r7`%&`Z z7e1yCv(H(?ZF4RQ{ZW!6Q*Y}r2)PbHGS?Ho7>USJNEdP|w4Bg&F*)5FhMFV`5BC>P za0kH8L09X3wmoXRotxr-+U$PTBYT4-bZKC5r`~$~6#R(Gv_q6sAe1#pl6u8{p;uQ{ zQ~Q;|>xj>4B>t=6p!q@%5gq@t{Y{p1jB@AEkQf%L{jxYJ+RS?TTY$^@57!e!PNPbY zrknl7aFS+p;ciS-sE1i+H&cu6LOCh8K<}^V%s}7`DC#x|EIbQm(Po6%t zUkT@S=%$Q^lo_=9yI*)|zb2F!|vMoO?Cb;qqMq~^BIyx&P?BM47#@!|g9VZ=ro zM6AW#v}NfUNP*&7F90J%?wc8>WWV?dHWg5WBZ$ONuI@g0d>p*8W=Y0Z;!^1~&rOYU zO877+{Ez}%v}#C}N>QtIayyQ_ zQMU)RdyM{fp*l04({`+iS2CBi5g=%@t}EdJw}%}f%Z_J7l>^J5;999Fn3zz4I*S-7 zc#aR%!vJ+|Z(1MtTQ7eyKf};h0*oHOr{jmryu46=kEV?5c8ek)O@5&{P1XDztI(7+!RM zHU7(&a^OFJUJ2S~&hBR)e}YWq0o1Jtq$=;&+@Yt;$obcPk3&S!HgLT}PD@-gJf^Is zrY21svA~BDYUzT55A-EcXI)<4XnA&uDl6hz0Yio10St~n(47M?y|>AodBl>S6w3>0 zJ2>4Qb>>oO-%Jg9{{qrX#n$5ye7;AGWF!gineyN(6B84Q<2o2P#J6(dR6!nBUWe^S z1igC=J0NoTKezP^*rfk{E$i8P0g7k zqer~}mzcKORSUX9IrA%WclP-O1*pCNq$_}wt#Y%99>tyJXy><{<^U0Rt9Iu!3v3D# zuJ@aYfO&O*CwqA{=#$3T-e@-bLg@a|n2eR*rKB<>J~mcSSGWIgsRKlY+V%y=AHZ71 zZw8NnoJp;T-{5XJ!XWXvJ(6g}^7jS%j0B|g2q^AjzzK%x9ZfNLS0BlP5P{0{Pm!y& zHFvK&zYIWSmr+g5gb0+;nOaH3ftK+uW#Vgc8S1ES0kr0<$F;*MuE06q&6k6l(h z?<b+a`{MESXilZ`>Bpf)d^0Sb|4D=P-7 zK^!e`u)}h)KxtN8-muiac?K%@hNZenwdOe;umUve>RHyTHt$FJPDa|F}`sz~}7k0MU6E9BL4D6jyU-M=kz1X%b9 z!0-yYrI!|#mYSeRk|}xHdbx}?Aar8|JWnsso|@nEBn2En6XzpH^!)iEkG*O<;27mJ zG&Br*je*()J!Pub37=1HOo7}MxW8OED>2NKPt7YRuox$Wd_M?zztQmR+l!5Z*tf8> zo~2Yl!j8dMq-noh^e@?S4NGU+%uqb)aW&}k~;f=5DF38`l0vU^lcU%QU%&i zj{BC6kJkvJ1YOB4>$=mr8~17mTY<3D1dTK#Nq2UNkpO0?S$cZ9wwvR{ggDgleZ2LATxLULpfr+zIxPV9 z-v)^Kcf$~3M2h>ixL#6nKdOh~azJ`n-*!FvOI~;gSoJ4y0zWHRgW=a?xv|PY;W~u} zd6d*Z_XM~RtMl&U=tg^$`EMSmM-a!z%&Z{T?*x1scB{!Us`MY-6Rj5%w58J)b_t1dN&#(q}=`n%dPCZw`T8@U^^~Tou;B~LA%iPl+D@PJHAVqbk_P}5PrcJ|EPRexM-T4grcub*Z zwYsiuYQy|gTmU8?4GleguZBX0^!Pp0MPm3p(j5sb>ZF1Pkoz{nyvPb7Uv#MCQxeMi zD=I2f>jCXxufAVTw#{MG*VQG~@j4sh{mJpR>vNS8hkyce>#c)DIw zC(Ge_AI%4oD)$Tph1Wc6N(!U;E`I7tYkv@ru&uh~ zaWG&>xlY$*{U+)o<1e^HvO6FzO8fJy#wCY^CrGrtIm-Ci*oDE{*9EuBKR;If@&-&C zQRFZk0SO5UF9O4ckw*aH|2Uf;!DQo;<=F8NcPIR?6vd_l!==~KQF}*_aRB?bu!H!* zl7<4!4IUtDCU9?f6yc5zih|ye&h)p zBb4)bkAuYo;|LU{hRtuIg6ZZ)!=42|BZG?m86s8P*vr%i&)jlpl<9bKK4Y6pg5qL1!55bSq_eF$2o&2Vmbu04-T<&flH(1Dr=DP}apZr8zmlE0Mx!KKCc-a&cZj z5aF}EMNaoTmX?n!S^$*O^CWq}>WwD`1{gYmx|tLDKB=H#90CCJcwF1Ix~|2H1N2`^ zzXzh|0NrBlfgkL_Na-;H{A&8KO4_3Oi*{h0InrGKcPe`v2xaJC3UEhx!*@VwJ}3v| zEQch7n8WOm%e)(P2#GrlaHq2XZiv5#8Z9r?tjy`|-U9u`uFInpC@LmdJpe1lV0$#5 zLAQa!vc9KB2Gru+A{q zKm%eP0ZZTzGAMMz05DEokO>&LH|$Q^qiR2))tba@HEPsLQBhF@7&0*U?C;Ql_YJjV z_gX~JNR%D`i2c^9JT%o(2GRzqntVV$RF1pdolQ7)JrA+_jzXO^*8)tmlKSnHv8lz9QHp)=Y zVP`mLfc;}{C=v{kxC@oC3xlM@&GFk?mA|x9)5$=}P7<35YUR6rBY^Xt2)RpsvQm11 zEpGsOVhw7Zr@G89{WTqtilOVa_T?`Y20XmKSjG(k8tx$g3b?Q^EkHNVn`-BVfYgT4 z3@F=%9y!RoMW~bow^{*wdJ#zK93Z0m64^sQYNiACJx14gDk#~eAV@n5+i2NTaVB*dd$NF;X*V2)aurC) zjyl(0i`fFBB#Q(~j;f}l_5Qlb$JfS{RK%#F_RvWa0HeiBgVPRZ%bFc0=z~_n==EZI zK>hi&rOE-=x&P=&I%u;fc+5q2&&j9q9f4Cn>bLcd0TYqR%E~V}o)yPW%5!s>Jc2)q zmRHGny_6lV_YIt%0PthM-a#`4@DVh?;LKugF%?w5bkmnMeFr2)^kBX@QNYciU|`il zK!8A@BXPY05sRb`G=E~! zGH`)$X&Ohj$mXl{VRl~5@?_e6`CI`Ei6WA#zr@Ej#=-ao4DFY z=Wf7?&H?@{bG--X8$FKfR5{xPEsOAJq4fk~4M2bZGawjraozOGdfz#Es3&zFWq*0N z1bT3l^VQww#7|oeK))b*loLHY#O-7~yTlN*I-WI?vQbvXZ154e9J>_X$)otJ2QF;L zd0kMNB$I7_WNzuY7UGBU@~4)T40=roKR@DC((BTi>||c(mxUzO&*;23)4O*5q$FbI| z*4({lRxbXDvMIBy*W{$u+d4yMX>qkC877SDY`pWC1h79}De3K|RXSeyU%-)_U%l+9 z2g8{8VS>Lg;=f=Ka@)MV^E+vS!&(Kkc@3JDz{r)lYkvp2VP`GOGd)0=!%##IfE0mt zLP0r*0J!4-t$o06x0^H!u?M8|2+$emfH9ysQc!E=ytY;D;r{Ng^38c0MPZFKP0@Y> z%!=Ic2hiPH;|NZq$X{b>I($hM)#U~-=$UmZFx>op;J>eruumvF^brEu6)^n#hed83 z0A^5MZJRO$cs4pvs033x(iGSkU^EM~jg9~XvRnJ2p3{>GdNAfO6BsjtA)qzpxZrh> zt)~EbxWEalQql&UDr3-I)B$}j&jXJIxDje@hsQ$H-RDqKNanSP1+x|C`R1ohd+e4Y z0Y1OpxNye=Or&gZ8!3vH033LM*#-KeeAMZlY@elC-V(;}PN6-5HogkE?~R3^uFcuB zZ*h!`6BvyHLgSqv($WsLyej3v&HHB&>ZvwrH^CR8BS8QC-fRe@q*myC3l^2%{TPgM z0faoGTABh5rpkpw#fIT!Lr~{$0Wj*8L?j7(`&;Ab1@7ISlldytLRYIepyUvNB$lAS z1}$_}i%}Y=QQe?V7FE@^CNv3xL!-{_IpBW^V~L)Tq(GGBJ3vL8#qK~bRA9>kyI^!@ zwV5bfVrw`P3A!K9-;ka|f>H$T8afK93l!>epb$GhKNs6RbKW1#$ALpcH@Lk#5;*#S zb4KMX+jAy3&XRxLLtlD0R_a~-lf5+eCZ!Ni6iU?yzU@4!gMhYssn#%I!;I!aur4^=C9Es1S?(oj>i1@X6_=B^e%6{WeH_sr2AY5RM3g-J66hgYEvz` zD?zr<;`ENf$sdgE9LP3EJW^hV3Ct=y?)MImLM76mQQi8 z|Gsd-yJiwm659k0)?1rDIjG(Jo4Bjn6djdU^j&`7d)US8txC;$H?+r#^_MU7!fcC8 zBc*LW2eYk1m1)6aSOh*EPdl}leFDNWo2Hu#$-7p>Q z$LzG%37`%p|Duz=8mB^;Kg8205loD6$a(5;n^W%oF@l87XkGcziC4H!&u?Ys;n$8X>{yal_=pP){2eE~#1 z(qgCZy}f))B04?`MCx{f>B=?|id+O9zth0Q^UusUlAPaN9eRDPIvL<+H~JA;RQ`uh zMp5a4_HX`=;rflV-VQ8b9b1nYVO5SM8+OxyzU#UxfXI$%W#{{i2lA<%!GI)>P&FnW z14o@Jsfj*+$v&8L$GSv=LG3`u4LsT%Yg<>WIrp97Gk2wp0^Wo2;0?A!4QNr;sIk(t zFsdR$PT+NXS7{su%HoPUFe;OYoDIO^>$f3~0lE}0tDPc~XZKO`znjbKSAIzdt|c|# z0pv>2vK?@PezbXhNN%dh&2c`uY3X48@Q`4uhjVs(l$5!$c@WAm&OQ&C;3q=43^)z? zJ?wiDCT3<+FzcPa21FLpR~L%M4^$R)^a-zc-w;Xbdq0^dmgSbk}*rgzjx!zMMxD%B4=NqiMiG5WhU)Cp|g+Hrp}-vGDgL zoKNo6$1VM8nw9VoRYFlDQ2NNt6Thg$l9@Gs8azWy&_sxdfsBuig3bf9q-rv=E@*)z zT3TqpN_mn5mFm{4Jyc%I8!G7>JY0A<$7hox!+!HecnqUN&c#qJ@v5BanG#1iZb+w#PfzJ05VpPoL0EhUyE zmc3AFHBdjOd)jZx08B504i;c)mKb=LaI@dvo+waIQVv(qS1gGjvnEVD+#UEpzODuP z8{)$wA{zbt@H8|c;@8&i+{aI!27UhgNJB&8aKL(^gc!1Tyw=Nipb};OBM=3L>YmX; zysbApIG@)b3EBq;+YT|r2OU!^NSWh?d|KHD!eSk%&ss4Q)YK<^T5ssSEH>HgPO^$F zq+^E#Zm953QRPUS^kP4K`bu~(l|SA)u6Kj*7#_;{|L)>b%?y+1FhiGR6@flMS z%ptshjtdbe2Knt9ka-&#`Y$q77Godoy}>ftPgGP?woJds1m(yj8v$q?UDe4}e$K|G zywk8ZQ%m@y<_R8NCNLU#99Bc)e6PA=s7EC!Aq<)o;)|+1-Ld?{t+f6FP}5r75J#@EgJ`LiK(jHJo|_Kd)IjJ= z>5L>b{t@~Z84GJew{Y;xSNsL*-lHbu+?Pl-D$ zTIf-A-BZ3$9agnf49e#T4rfg3b5i0qiQZ^ItG6#c@%Z2<(QcI)Q6$h>ghhO!r~2R} z0uiUdQ3`d?xKqKMnwskB?#|eEdandtHON**K|%^ajr-&cCL4%|h`<{IfnXpUOfMd9 z%P$z_^*4E5VJ9Xg+PSz$0t+2sFiIx-@Z<#UIXq~Nb67v;W^N!0#P6f$udVEX`Qq2i zMNTfZ;Z>m0xBw0Pf{)KoDu6w}-QXJ4yC&dQ3jXeOLLLFs)CRN`$5%^)3s`XwXtx6f z0-%Ns-z>jj_=y2f4~lzVK%2FFYAVs9gi)_agCzlZg5wN?5NEzE@Fjh=3*4NYDpY8w1`SEw%Pj(2*MUTYeTead8gzvy+aPdKRM9va;5T_46e*BQJ zgqrEdOvg|f=e7Op1qVm0MS<;fRoK0d`>B~HFwCKz#F?NJat7>^U_%jP;DOPC`M>N7 z5-{AC<4>Ur-aWuT?;xY13ceOt{r=R>8l;rGyu8*kr|$0Vs!uV|(VHHzip?+Q3UTy%5@3dCh!#&?2nrGl2?_B%*n*~f&~%{C^Jf=RAeA%ApSG8KDW2GKME6vrhuoHS2ztrqruogJTHh?UCY9>UIrBSN^0<^NRM#qX0jQzQykv87R9$$j+b5HYqp*8HL^n91*&O z5>p^7u)`?ct(1wz|3tcJgoWojHuD5cjE1@5K zYV7pKQx%o^cv+tU$;0Ekiw`=u5_igt_4UtLSRR3Cl##2F&K%7-m_bc-?qIH$lUEAy z=k88z=fee6j_1=Z#GfajAxtL|j_eu`5RmVC0c=mR`6f5H*?{F1b-T5m zr@#sz5(`Ebb$90*<4Of~692$+VKRl2_5O0#BctuYV_--r(tXkTNLJG32xRDFvj;Z= zBja$5wKhBg0s%1@x}s&`?o4f@g*S|aTq{VKj)etMK-<=@zN}jK!`fzcaNEwOP(Na1 zVhRojfKym}OiHRy%}{TKidcun+JED;IRsN{yMXwWt8nb828LpCkHhe2EW5a-OBw0&T z)WYQx9zMQjx()9${F^})lFC+QTq2?;V_Qv+eJT&bvY8{6p=ba`=j-g2VDG`yu3jq! z3JPn2OT7*zAtB+jrq4g|T@YXHwTcEHcJ=lB026S)PC?8>hz)!++u$TCo7woy>r;^R zMjnz=C-8nw^~;2dJ}OV2S_?6GVVdo-n*QEw>n>16@FF)ghENL8{2_Q70cErqfQE!(YpMGk5 zK!2t7`75!`P;!1`gX>Q4H~#GIPd=VOmVA|G-7lpB-%QNT7V zrkWlXo|~I1ul|eyoMu@?#WzB_S$olJ_2N>e1@>Zw&A|)jy^75sB9B&QPHEbS=`A6it z9Jk^Y11n%=QDPwC5)(7hyfO^{6XcWCB_+%=&F!IFAkX2@Tl__{|C;^T*cw+{jT zmfG>L5t^wo4*(DM1s4}CwL;ntP~RTm;pJAh$x2I$g1Y4TvIyM0K-1L5CISd)az@5* z>RT{0Oh4#^NY8;7SdE{pOv|KG=L$bf3_&3asM-q_gK?WIk>ckfwa5gJ$N zQw*&d*_I4QH@rwcD z^3!?y?&6~FSfTm~7%UZ6R>m&TZ;gPKE>QIlIUP+0)B17xKsPVg;vNtQJg9e=da$+@ z1g3vpfY<;mbH&`UP?gT}Y)sw%LJ8avyhHx|`}eAQur2^1=6V+0NvwQlnBshT;HyB}UOZ#KZ05S6?Kqu5i)@prcNvVR%;_MBx5mdnIrig(UCTYzi6S?suRe{^ixxbFgL5+T*yydk!yrdk80= z!UL19`eA5D5nxh=Ql)t3(H4eWL|NXGcqz3zKN*; z^EZHWOK51|Lp{EWsco zAd1>81S+P06tW!YXGnM+YH4aJ35NmOKDiyC5{k07t%23moLS1|L7oa~c+h%~;{xo9 z?||3AL!fUwyJ=yAwj+qr@zyk9n?L)k8k0hHX9C~pTE#tuy!jUIgrN6W>xnt$aATXd>%msZ< z5%@lFOleKc%^8X`hqqUbV6KJ~84XPg2&nveTJWmvWB-7FGgKFt#hubt2>|fn*gODB z(Dd~5y88QH+1ar`Q5D3W(glff{u8i-!?UwB6cZO*7&)r#koW7mc3iU)^Q$bm>9A+`kAM=!YCb}dx-n7k1`X`94ls&U2VU!B;7De}5_lnB z33Icv2eh^d|B4`%4H$m|PfAKk#P>e5rjSxL&J0C)Z*Q;M=fPXR?HFF>f3fx6@mRj^ z|M-pUnKB|-B_WX+%1lEF2?>#rO-3ktCL<*gWtPY;o61(%Get&aRw7g=zR&CR`FJ!qTBbXPeW0To}!*VXni(b~Vl_e~(vO2&;4ig^g4} z@lDz$qZaNTjf_WJRn&(vY3(Nt_t%r8o5Zr&1`j@59jo++$Ttg{+cl2p)$ww$w1m>@F$a&+{x6FWwIY`VQF-y*KDcyzA-?mA-0?@Pyda;3YbV=zI-_Z%7kS8 zZK#A3l6~=uFQXF=T+GbLp#dta$%7yM<24Hi_K{xhc)fiE#xQQY+W{`yxy?Pxc0Pk! z@>iefiyTD_#&NubWItAu?_yX;dnlzfnWoP2ICl)&D9L`Cy!Kg#L6bO^U@TOJ`yB_+ zG>aqVJXOE5OaR26!fQ?$URWV`VZnt+Okm!)?Cv>pg%Rc-C#!Uv41V=7VWC}7eGK8G8 z00{D#-nX6ZVX(zxz4Lo62B1`xzSz;*>(HOGm5nH=3~p7#Lpb^Pj=0Tvr=q`qeYw1K zm;6In>NhUx>su8UxGfFk=n58WR+3)`w_w5XIWl7M@ZT?-kG0avF=+rQIy*Z{8StoV zlk@Wu-wLot5n~0W-0l*KiH0x_23C~Z8#mI)eE_{;&o8F#!6?bW*WK6{a&Hn8sb;{f zsHi?J4iVO(V8u?Te&Y8AGSSjzq==a8Z%0>g3DWZZ4*H4*RhHy6Z_Lq7Kxg%JdEkC> z@>BQPe-%AqA!up)4x*(C*2`^zUfgy4m(yH)>QRB)-5s6z`C_n3M7(Q}krP0JFuV2z z3I{eZ-Y~U{b9=q!M=@xm?p4S>p=l z7`>d^Kcf$D7z4=Z>(T9Yk=SjoQLR_!MB{yvPwW8$f8z^wLok} z7)a20a`^w5peFV%z!rFL6b*{Z7$Y@;LE7~M`pS?wtd?OcQI$Im>|~tiRA5m<(R%8% zG)hdC{{eK!V~{ARQ@rI|Ild+fWkVIw$4!&_)V1SVbfk1=^-fYCFyx*t9>uGVqKYaj?_@+lQRB%>K()c_3+D1Oinf{wl*}7<0G>^q+v#U zv`K5%a@cRJKV72cnd&L&AFWis$pSI{&b+v{ZZbbVZ@h^)p>G)^U-a^_M>MbUE{q>2 zaps&<_wL;TyH9}*&5VEBNz2eWG5lY~HjS_grKg#inB)xRNv<-`(UGSQUabz;Jfi&s zVq*Q74!YL&vNo45M?ktAV!@e|k|M~*M|xLi+6c)KU(#huncbp|uwK~r`=BspeLpG2 z-q_yGz|aU!dp-8Ns;VlgO=d%STENEnCuv3*)z*H3Uj>wv)85U?gfRfss=WH0>mNSd z>r}EdEgZjt!!Di~`$B&$FE?S-^YM$)UV;p$_P3_`hPJ1Lwe`_33&#uWQO)?+1_%vi zk{;{jx=wfU6kJ}##7o&q<(w*Nc~DHc^N8=CxV2l9{mv#=e~j)oswlG`Xn^>7mWodc zCCKHJdDu<(?^?hWK5~CxS=KZrqh?*~GIpfYwue0ML$6wfPF-gwQ^AFb7W}QU7MsGU zMKEyQlTY4LRo&ZOZ8GIrWbw6WY%ERgH#+K@Q^%g49+IxK9s~YXf4zj0Yj2hRSbTiE z&u1&oM(3YKjSOWLL7rd4cM0&$7uO49^NgxLJQ-096*!S=bQ)|c9(Wp_E|kW2IJ)W#5fob!?kq* zSo^0H=u|QSz`QdZ4qid^>85Tc(9)e1VM303(if+U04C@d|FIgc1OLQsANPLg9#rA^yF+fwmi7a@ z#%KEOL;<}PuT=9@DcEYwptd5EaFS4%ul>V*)tt8c`Q?p5*;AZuF6u3#qh_Kv?%BK= zU^{i=d&S6=lQi0@BS6^;r8*$SUJ9*F_K%P{c(B-MST^LtAUpuZg?g}0X@$KXspbNi zI6wBP>-xQK-yAWeFBW199{ALlsMv{5*U-@D-h`Os+&=e9g$Y~oCa7~L_@1TU--u;A zO+&)&&+m8FXU|aBE<)kV!zC3vP;@cPc-LR3bd=~D@Jba5r>Ca$7{4QDV~N~~F5~=O z6V-Wik}K6xt6&FbjSjF!l}#Pdj^44i%C+?bKQWFhEV$N(D7H>bPk+V{UmN0C^oc?1 z@9AB76Z0lhhld)ywLMKe)J#v={H+VDH@MT(a!DPEf?SzU7QopaqgOOnAj61gQ~nKE z8Pk4V%dtemLK9k;;m`w7V0%o7#vF~j5I54^hG%iX?O6mF{JtgYY7;()O%w#Mm z39;L@bB{H*)G~5O2iDYFFWZTx%-f3~jZPiMCP0pg>yOdHsX`|;H8o@GEAHoTGBl0@ z`Yaul4m%e3!Rm!VSTe4LMf;!dZv2K12gNH<6Z6^!Y9l%k}+kk14sA0+6RfT>r%YR>_#lE!p`j4rJJrnU5Vi78(&DxNl$NlaD4wMmL6rj7nX` z%p4{<2l~GZvJJPsT$>Y3T~I`GiT&=qJhSz?CAX|&_j-Oy9na+o$M+4}avYqkID=R0 z+U}KPWeFOW+Ny>fFtJz-rlcPSYN$r@#m%Q|O|6hd&GS#&fmhv|Sg}vfMTAf@%f3zi z1VedNTGd89EkDuLV`+FV-HBV@*1^c!p+LkJtSp)s8{hoDgkEU@wy=`_UrxfPTXhHY zK;JrpUhduL;CfE!))U%=W-o54M=;UuLXWXr3z-@yp*vp1U0GY|k6JY_>G{@|hFZ(C z{BjOa_!DQxK&daUno9DnAWCZ3>{@+a2K}V^a8V@ zrbbS3y4b#E{;mfY_m)Np6iDi>&Fi|lw+%kdDoB5{E&+t5^L+shC9Z@6ziNRi0*T9R z7-V1jdB|(t#H7~y_S&)0$}55p)89aQ>(JTMMFjs_tryZ&F z*#@&;Q|CiPyZ3C{*#$h7Z69T4+kebckX_bJlCa3E&fPk&bH1S!TW-^<$3zFc5g={! zRXwK8SA(i9HPiV58~-7YBD6t)O?(O98L8iyWE3648h}0c;`U8&$sK)6Jx~N3$=L8^ z-YFkQLCu7RGCtq;gjq~X43Skg$H&dhhQ;^o3pyp#$7&2cIRW5jbH%9{H{*vNrJ)?z z%}B0%nwz^Rq@BDlzt^KHLp_3S^cHvNBdFc<1+Rk6GH!T`r@UW|ZDV6Yf2fgeYgO<9 zC?oy3D(S_Ql>ye!VrW36K^-JB1EQamImQ;%tRL7mbxtZx&DaT@T4+>M)Zh;>v_(Y! zIP0aQrB!X0e*OT_0(NPP8GXN?ZBS@(f@3Mr^~DtnN+WEDV`gT%T$X}{r=$J$;-Kf| z3|BpMiowZpt-Jr`U9`yi_sh(giG9nCEitL~h^)9DpOp0aEERMLLNXl#lOm6bi&-#0 z$O)U+XS3N~W^5h<{9gl-o7>ylXJXoS9lllvj1Gg5);+O_e{!(d z6#O*9`&aOq&zCw(9PBD~sEz0~YzOmqpfSBbA(vRR?w{x)DaN|amd zD!f66Fre~0ZJZ0|$vm=5mYt0>wwoev_hway)PErb=JH>h z>YNV^wcob2-HwY31kh)JBqH!*hwKNQQsM<+yG$VUpz*O*BE!9iloakWM(n)22RQj| zeI47blXCibkahGPMMZ9OX9U9c;K76LqKnGJHmItq`X72JU3V4~(DJwU+i*zratnuA zgJME;h%l4e2DWYM--j#OVhJaKtOsFV-_ZDch!=MZ{LdW$0;%JN_U~uJyp8uvjT-j0 zZ5qHZ(OqVxI)KJwqr3Zvwo#%ImZryB)B$to=X{@@j`;J(`$qF8x~eJje~v)BjGavg zZlFQt*URK-+A`Hb7yXQ|2l^t-s10$csb>7Dhq%Y1Q>d?&yor^;e(bAu?oL;|wtg?0 zQWt-Wai&g&B=s{8jpcPLddl@{)~1)NE?-`nJ0%sEDb8D)3>L~9ssa6N#vIjuTj?md zl&=5EAC(-9iweKV!oyQwXf!oHPk`8&@W@d0eWH5twzE?c`>q7;FcF4?7ZsA_?{#_d$H2+yUX=zS99Ow8;HIfvx!&XIJHWH|b^>JIVY!d)7qv?|*E0NKw|doKfAG9M17*V%S<3w{KHC zbf~_qEy@cRJQayAg6>F82Ys-?LkV+n~`{jCk?MW)}?3LLS3!3SiTLt)|BC$aw>5z`t#Ua$nLtgO<(CX&*vO*7~RJ@uiX z(gl8m4v&k+=%EE?{a+d95l;Mq)THQm@5Zo_EenH;Mu3x9!0q87@hK_ogbX7{+DTKAt+9uL!XZ>AZf*_ut?@=<9z56yIikS-a6{tY~d6dIbEpCIo#mS<29cmIB_6pywA(|XEOMpfmu>eDo`DvaraYqi&Z ziv#&uIVumuxcs3*7I>qT=%zBWvUJg#6?hEYXbChAy_3Ousg9aVV&eh;q6*1K%72JC7y@Fv;! zYc^ttmUN#wwf6Aqyg5F<)E^^W6i%dt_JeuBCFHv^WM4N7vT<`V>QqGDxIy#Zp^n6f zgrzq;4gjgLRyJWWSdNuZ8>Cm>_#^o2`STKFu+;}1i;a!F5fk$`yHpH2@H1@$)H$BN zJg-LoMA5^@1=i*!9;-Tlfwym;YI58KzSn|mi&z{rvr3l%nJKJi>I}nF)u-5EXho3; zJpB(`H9jwoJ2^TQqh6q?=}q4}A8yfIBXaaC-lAOz~59Ll;n-$NWH=;NINUW1O zX7E2`A*d0MBE=5x#7T3q2t@P107`{lH!J9IrT4XKpD-ia4m@S+s!e07zB2uYU`cVp z+YXl#4$A}bg9?g@gyR${2BXJ+zq{qe`kdN!HT81eBps0@;_Xz&@*h-Aj-`eUP&0yw zhxnQbMHF@Ty-s&=L~1B8c4E$Y^!PFDFB#L%L(tn^T7GWOtdznSXT;{QdZ|cU>G0vL zfKa_%$NsfJsbsTRaVt&GO|mT z|J>~VkpVz>+Vmm;Z3Bqr=jZ=}MvG1Un2KO`vT|+ERAd#pH4uIL=QesykAG{PENUV=ds3q?0@Cm+ zk%?)YKFyRY>tx@5=@Xpk4a6ct*M~RWJI0GSP>rU`(Fk-k4$j&-qiPA+UO73npNLmp z`0{2O*Pm~g-Vk*6tVcDLV2^N6F8E758ZhEPHQ*jNMk2nU5`RA$fSJpMhdiNB0*{d4 z6(49lT<)ZlHawE`w1Gxl|B?3b-K>As*XgI8W5A&c%Y19u(f8yGWf8EhdI%tW=&cRn zCO&-%#-U+YolkUP7pr0PhaWUHCr22^5d*+bjGf~z?qdJ(V)#1>!t3tIJ-`+AQ~Oy8 z=GA9tHR|wIpGs$=qr_ix*5?{=oBlNnjB??xnZqRuiy&}2~2y_?Id}_89D)9oefgve}kmNgYG@zoSq#kx>O4IE!w%sJObE+O5rRK)p zhTg`OwM6S;0Bb;b_OX2W{J9hjzr4o`OJGIvBj7lt+O|`wXDf$cu1d|W;{Q-;r~dB` zs~UF29L_qm25SJFsb7QOfQ2kz$@i1n#Aw@_H?*kvFLizPhSrUard}=~OIPEz;8F1C zUVkO-)N-@G?4`C*VfoV+FJAQg`+k9_I^r|8A(OktkydS6||m7kEC)?@<_3vH9w#C@t^!_ z$D00O0M?&b!`H(2sJ@$(5Hi?8^#SO`GtI5-w$vSJV0#DRA;7=zT z8OeJKO%)$b%>w#63fU%UMQyi;2pt3#`VIy{@%-ZAvB_fW5Ts#w2it8`lOXcn$!9^( zLq7!P1Pf@7$B!Qqtui?|xeiEU=mQL=1r51lxMYa7mS7QpAgYQdsz26K&DH;eZ71*Z zbN9dy4o41#nM+PijA}GLtQGk9RCE@a#s9{Hv8_E*(|}V1=LM*Gz5P>Qa8udOBL+D} zqVN{Js0C&esU~! zr=if{V;uPZ_O1z*wkpfvPm$WSjZ8jjnRN31vbH1#Z-BVXn zBY4FOs%GUH{cgY|%zRi|+wO|(FScC$lbe2*L znK1bgpVa2IHm%Ft5>(EsJV$&vS65eSV;G>AFx$}&#QNmYQ}p;7zh7-G`adrz$uJ%! zxlS}tW=-j5DCB4yN8Mtu#bA->u|Dh(9m&>Sw0{P~RgMM+g3lH-HWo0q7AFX=-Y!QL#B0+LdCP4ldxX z+O7 zVTNu75*;(z{RbV~6(|hl53J_6xk1_p+^!oQ<_0wWnO6MBzvZ)8y}$p5hk;m`K~YiBEE(%0^zq|8hZ6^~yTb@{ z^Jmr6Qi5MB!~t2py7qK}Rh|~FTlwj|=B4_NRVIgUh?~@brSP$NVp72<25Img5b;}C zS%blfk?GK<;b6Xjv3S8`kE`Gt!_b?hs_M?Cr74fi&dyfi_lFR0)=7{XjKuF+V%f=AnLhAqo?t zGiP;W<;=sg?-!+@Sq6%ssjO~oUY5u$^?_@1%a$i`v6NpF3I(`rSTdyMK1sE3C`)`V zPM!@-IK?+5`NKl~GwqrF2GP6Ya(99ySZ_^tvtPZS7F=E2093)#-a%;39x@Ww!K>cP zopI`sMhO;e_nx{MtT2#RURP$4^>Zh;{PD7}Fg@V;W0Z%~oq3cVF6`}a01z7!kYG40 z4ur`TH-0D=!vl@rlI`e!LJ|_#4DyXsLvo+lJy7y__O^>{+ct`EC-c)PPDhDx4{GiS zz}AG@8lF=LwARFm1{%|hWOrirL8=8MI4ujyE?oM?KjkRwyW5VO z`S$*ewXX*d4+c?;De&Th2U)=xhlg&pNWRb8E`RCHl)%b^u9XPKhNev!qr4Q9rP{Cg zNja+aCUuzBOiLZ#vjR9l$e=G$;(v{UbUd!5)rgLAfe?qFWmH3pGd?}tii<};XMOzi z{d))f-QDa_{0S!sHnwkm6}^-0|Xdt-zM#%~zu3&L3|=|LKdQ z)nz&U43>&QvNBiX#$M)xOaI4j&~wN-H*(F_&DGbZDP+dEC$GTuYyCJ)J;r62TGHhX zcf1rYt*R4$#7KL06K^GJ%Sy8G%LGR67M^%H=aJ*eXj@J5#_VGk^Q-b~UilfiuG1O1 z%3~IT!f^JRXtE_sBAC2%sF)OfoKGkzhgfTQ6B!^A==3xX@8y^m8UXZUN7`M;QVhLj z|F={Ya!d-~^e0dNNTt(0ezxUgh3owM3<+bv)-;v5&r*d?og>(k`vp3}GbRh*?PeH# zv9bI`jNgqY6_cMdC9w3t2q7%z+C`9Wdec>6#2jyAlr&ynzE$OLEQr!jui}&iPxCig zXUW)PyeQ{x@q!~RH7}Dvksf+@X8iP9NK9?c3>#$z=&j;T}ap|QgXwt9l|ZF zZri*v3JN+$wGvadUKMi-rd&HXr;^rs?u<@w@_UJsdnhZ9ngPT22o!x_PNs7B2zSkD zTe%`6S!)*{<|(#pWh!+VX2+HvDtF>$7c&Y(rqLyw2CsoZLH~Vqe&h}P>({YGBfp8d zNAO~|pya+B-6mvw-Mm)f9_m`FSmoFFd$%1HS$cAll>D=7{I52Oe1rd6+Mv3hlpN(v03= zv%g!viPwFE)AIxKE~WI}GD5Lo{|N_&`*Q-lU}vy>|7_2Xqbj_Sk&)go`ic~UnG+_g zusplH+d~~;u=d{gTa|9WL7(S0J2OKAv@7Jd2jQZ!%CLQx9}e5Z!JLc>Pfqh7o3(BH z@MfFq#dMI(8)fTmezl0F)cjFJ7`1xq;w0L@E}L&LEL2vlGKu}a^h&>J2;{s_4oF^V zqDjq*LleIweY~ox1b&eJC5g(QMJGt2{e3^)CLeq@E1Yl=)u(y|*yd}?` zeX?T*>J=z%g2*U$)y<;+bQ1473}gd{zMq~x>z@W%&$B(luk`8WZ2?>;E&YT%}aXpdF z?toeC4RFIm_8S$YexNa_k#S*5PKU<%f-jKgD|s)Fz#AwOa7$01GbJmJilYB<9b@Q= zG?3dsELqsuTcTWxn6=4Vu3f9{38u!8b_Bf#Rkz6g{cPVV0J<8_`%15WuL&MDtgNpa zx{TZkX(ACx#dHcY{yVOa%6t0-Zr`wfGMg!4>11ro)#Y*pR{PRZ3$*-kZ>&&9njjq~ zd~_t2kI@*c?PF-6*B+<6fE9+(jvB;HujB-dhHT^Ug!|LyJ|66w%D8+LDN&RPrzf$e}hr=}t|7LkXcz zf>NCyXKoMxwM?KjQIE*H&phIBufHjo)zvxr+tk@Ng+)_5@$BPAAhO7HZfz317)m7- z07Rn;7ZCh8XjE#eTehwbd+IUpf&^&+_B9hlHs@R(dwxN|1R#0@W-uW6;Hl0qOl5@H z3cn;ZdO>uW<^bP^Ui#JO-U~Mw;$%>BC@w9PHon@j<@ynT1BW+(`(5ioSmhqXyW9X4 z*nn;v?W?P+s|s3H#621P1=4418LuxgSzrfQtk22I-|GEbq%yKw8YI)8+kCQb3kh1( zX0Qr4feE4m>Xgp_4q9+}`_%J71`!7Bg`w7NC#aYEcM?w&B`~)oUI>i0$4_8ukGWF5 zHMKk(uQayH?+&h^q3EYLvVLhN3yZnFL{@rw`euHYm>SLe=!+;q-H+J-jxt#GCK4zs zqV>+6-AwR(V|8$?R|m}43$Djv&?irt7Tv-?N#hMq&kWJyvHWW4>a&_nK%-|&UYEb)R}b$doftVRc)p+mKdgy|;> zrz5G~W(|yjWaWD$he0voBBNMC-)`$&4Wh&I*3aEj-nP7ExUI|=K`CWdo&QCiNj~D*S^=NJui}A2tlDE zcoAVSvF*P1a2L?ROB`Ftzvt(G)On>ooiif(EVLe532rqx$7FvGNW}g1tC(QRdZnd> za32K^z%Y*XTir@s%cCz(qkVi< zcj(~Yq)lY=$jC^}kw#;+ndB~p#d7DcFqnK1-MEf!JUgtxH^whCR14%Krst1Dt#}lMc5G=OMSb!kzu_^m7sIKCSzwG&xFvKH;;M$L;B!+uFxpp@=E=Z)TX7pLg!}*_1`kLv#+{ zxx%24WrqcLZ>n-Y;W>7bjuYy^eRIKiWPPyQXBAG^Q}5_Ky|s6|JG7>FWnn?Wdjohr zT2`h}&yi`O<>FZtfCA{k8iX@w6sfLEOB5=1 zzuNTA+lPg48O)ejdO2!d2umjsE>7zX`Edi$Js z9e3E;4}1+CepR_@T^1g?MH?u9bdF5Z5kq5R^`E)P7s>&y<5T@AepkMYVtT3+pj;nn#mgKj4_kNM9Tz?kvPIz3<-eYEUf2{Qx9#fn+nC&E zBiFonorTp7{kl`(ck@MJoWVX47vD3QIfbW``&y)qn3MiKJ*k;5qP0+cGo8G?=;?No zJ@4bxLQg~=(Ad1e@P7T;_3PX#Oj`o!0;F4ys_ZZRSmDA;aH4?2E$afwk`z2epl93t zhpC0`Mr8_zxVX5n=aaAFba&1_W-1&Ge_B@^A}O6lK38%~%H`YCH;2s4kA1gGRN|U= z+#eMbkJM85A7pOw>Xqf(V|UZ$T4>E&=|IZju3fv9UkX|L2uJ~#4D*W+0jM`u{E@@z z*#*b%O0_V&&pVRkTnhJ$O#TD}_GfMF6RM)j?G6!lya~EjDM>jBG6Lg=0crWoKD|&O zj^mJVUIL61FQh4|kRp(B_7=X??31==&{#>YGJ-UV0GgrdDTX0s?K&J%9`jT$9X9A~ zUL`|TosNS+v!=)=k@JFo%NGBqVq?BbjL?^dgB@=K%7dFzu)Jpm@;Ln0X7_&i^2HoV z{cB5eSVgGIBQO29;ipvxW@2t*Lj|J})(w%-NzmWUAFGcRzu>uY8$%`iU{K-uO$`B}_`8hO)}s;dE)_<1y>xz{P7+HL6i)U$cW+;x&*pRgW1u?-<1 z8fY$#P3{V%$a}Gsi_2ao<>ii%RTpCNmQf94o8c5EtHr2_lsx&O!Y9=g(PQ z43~yGU<>f^zkS|fZ^b5396aXwX;C4YQ5~+}9JJr?ho=$OQBVM?RMOV@bq(mwUjQeV z<_6tpKLMJDe074bFgZHr8}Mn$G6Ks+CF3$RfM494Gh1`o$9c8HPh3*+cJT_Jt6+t z-Hq>wBsLxj6;8id7TOq+sVap9_vl_i9^8NJx|O(H#L^ zr~@Mq_wZp1N|hiq1cXzitD4%IduO!vHkLv~Q);;dClwVEiGbvTSH;D|n$U?#f*c^k zEm#$}8HUnDJ&Har$Ts>qf4D{I&la=ap`6NHtSnDEoEXmN&z1iB_ixtE;pdBY8UvVQ z{~yNTGbUr5Tz&A>jVNtCeirbbC=6ddY72`A(2OvAWx)dnnE%&j!b(_>vBn65m^9~A zhTfVsTb-sJwBw9T42T6L-XqZfPodU?O5qch&cg5C$F5u{>EtW=!8O0$f?)F7ckYni zKSh;rk`lTLtU;xKjR!A7o}q^iVQEN-q97;tM&En|`u>2G`x|Fe>;vKGWXYMz0NZ-qTgH5|x4R6aR9 zZCKzJ%Hn^%rlyA5QybLIizy6tCG?gmR8iRef#)Q6chCXl}5eZT;4Tci(zo zI_O1&Ucp#cEVk`p@7MRwpO|06xG``)90?3BHZb`$0h7$R{@h7Br^x;5Gm);wumY`L zptJ@R_R7l-&D1`RKm_3UKQP7@GdwEsV`iQ_C`B?u;nE05dh`x?@SLVEll_hwCZh^m z8$N{=A*}8E^N%$38!pbyg-h?lI(>eAiR}3;j*HJi7uL<7p^bhy+SwV4lB}Qm7Xp(R zPiUEn^mn*T4?HcG^PB9{PFZKtd0#y!_5^Q{`=NpLwEjJG%e|!tD=u8w#Oy#r>SaA` zCD@m6oKJwAC0_fK;j@@oRk-X|ipafUo_S>-Tmrw1SDI20`&Q-@?_?~(ZSj~_4p7q6*4#7eRXeI0MK;jVnS zxH$m~}1YPU*cXN+cA9P+`tB#hL6|`3&#T{|oJDjxZ3rDtMNnnzZv2m}zB?HK^ z-K66<(T@B2DpmO`3E_}nE-5a?KLuyW8^FXTOiXrGLB{|k3LlR`PFq7uOE^aEIH;@Q zo0^+%%NOX6STqEZ!ZSx$&L%8=1$2VJ^Pgy0V zI`}`IIpKS>jF!Z@ZCjQUFH95ZT_0Wr1gxzBpH2{)4M+r~)u)t(W6bpO6Ft|l`=pgx z41ezR?l`SzVbq>Joh&_ju`LT0%oi@$*Mo;JOlNMw_#F?BjxPJ0nb~PLtlwU@$tV+# zdgk9(HNw*KPi(t6 z5n!;%2-E)kQUV`uTlB$4$vtHm) zZhTyviZV47l^O(Wl+(S`az+m!L<0qW3yow3G>paN<>AM7f3l;rO;+K~R0uv&eEJWW z=NCK6Qf62RPboWS9``r=o0t~DT^Tpzm4P=^J5J1vbFhUZq6tNDVVMBF?0 z=XdunLPG$EsqY7Dgj69lC0&i$St1{V9sS+i+)CT)MKi-1aFLMMkbf1|PB5yP4z8r? zGWnr{zZVyCW%tKIj*~SEQ{D0+Vr%PV8>ikkHy`chQ9;YV_=zCu(DRsGx5%BBd<&!A zRLs{YOVAp|#!~q%rp{xQ9ojI;63J7r*C})Y5Wp(b{r(Dt8#&{8F8&M&ycJ!~lRFSI zfwwAK{n5>0IAtp7H&{gx2gWPYg3jh0b2(qZeE&a`xKoYeHGtsxI%at%K_^&PS^}|c zbgB&{7paXBC^joile%Pp(N|Y-8v||$Yt#vtOi3~&zUbl z&7ZEq8qXi`+Eq6pl0ze0=#nCKXY{H;K}k!tpzM2(hLc~JlB{QMZRmN)M~W@nsIA{~ zCz4gT`-DD6RFl(U(DCnFVq`@m(yh2#dcx@Ea@frEcrkp{;o|cpQ=D^o$LtQ2uyq&E$iqGg$q^-V~k*;NAiN%rp98RswlG>i#0Sil$ zUG!Nelfg$5%FT2nHFQhoV>i76X^y^MY?!*Y{WwB7gF-8(`)RJdFevJvUfQT5Ki-$ur`mC&l2fjqbC24N`TvJ52^T>e-pDcjE3mw8DQW51rB-#F!DIu ztAvS@aUB;ILWwd#i28poYtIu>CWv2s5eAThE6md)r$CMnvW9p&9Kp@Vijna7X?5+^ zq^#WUU2W^F&Q$l`-rDE74wxzm5vG^W3lZWT(71ewZS@iixYJ1F+*88x0_VsZm6=Bu z0|<4W`yn(fgi{R%HQ08BMrbnF;rmxVe*8wyTG#&RpO5GPgbIDt!fNxeW9>6&AJ|bi zdn8?I4=+-$L<|cV!Yv>P9sm3}1k@feGSwEFL^xP8YQ3!u*xXnifw24*uW}162OOWD zXF_8aZUMp|f>`Io(Xg_N&ZW|Cz5GpObLpWNO?93Z=*4#7e3w1%QWcvP+TwC=+ue>D zNwT2F;~Nezy27tmw{A|h@YchbfxFM0(-uBA9nGdgc z&+b@%BbYB(p-Ynaki~URB8ao|PaVf;otgb7c91%Yk6zbr6wBU`eK2N%>H3JO(91oE zx9QoGbjgZzgX6#KASFG@DK05dMS6=4Ib$Io5A$sb(t`DaI#Q*k*~H?Q&<5GFw?;XR zL1Ay%XI#$G$5?mf2a11ph zlr(B>=VKOmuvdXe`yZp2yE$ig=LyJHZ(?D6!u*cTxD})z|cAikAUORfJ3RSZw@omNpw=_xI>H3n-Fq&470ea)AH@zeZ;3ob1{Nx zBdJtK65&y#I(U9YZ~P>*$)tspDOx&y?VO@N=3g;PRjxwRaO$6^tuz;fef&@Icgii8BNm|I0vC6wvqk@hIb}-h&UYIzpH6@ z#m@^|J$)Jri=(;2@oCHq2Ck7D*}cQ3hZMGPap5ko7c620AtMs`<@Y!Eo5JiEM%=9G z2Sx!AH$nCqjK4^T=y2g2h%_liZb$(jRn`&RU1j3TH}s*}Q*>p)fx)DMo*joa?B1Cl z0?-3eG)frZer3<(W={b-hHq-7H23VYTq$eOe~sH+i3)njPG@cu5OYP_STA5q2-gMn zP%4Rj8+dh@X=*Ooe`m`ltFT9FvwpmFo@&2w-cv9+h-16sZi7=rP}sN}be42F4Yz!? zjkC!M_i3ggx5D(zfNHn7^y$##+bm1|40T&H2xE;XyH#>Fg?tBRbcsXY`Cr<) z7wr8R-v+8`Rf*m+_`_nlJ@s`2mzMOq+ozuCFrG}_jPj<%<|Ytee23E47S1?9BykZC z5lly1c^?S;cF1ZBH*DlQUqUmO1xYH*9S6rNJ6^wL`Rk=d?bS!oO`C)JQWPQN{cn9k zC=`i%ke~(PT=0EPC;|X%6XHO^M2z!X10g0T+Kzhb$@B#VqDe>4c!R5@KlErzjs9=O z(WrOX{AoGexIB!3TQ=HxLmD0cMEH`C9`q{7c^}YC36s|rAu8{G{DIw@zfCtQZec%0 zx!DfEJAKXB{u?X38jbTvWe~FE)1e~7(hr4C^NdeW&6}K8^AN5*`3a>)GOh9IOcrox zmk0Ad>&l&mbAH+&`O4`DPStwQYNN?Z3!5@`+uGwC=sY0QiyEDre_+(XN1T$>hF^D) z{JJsux)_A zeE{Kls6OqnC6*non>D=KNXwr8{)J{%J*JycqxcFO!~JKkLi>w}H44&T5uM9>-{VMW zB23fQk%;Nz63SHfN|2Yxdih|CEru8j7)1pzt7r{qE~Ae=Gt59AqZtAQ6&XVoFdQv! zKnp+Pg9HQ`{>;|JXN4j6GJ)nHuwwk9*74)x37@gnyFoDO7Z|faZ>C>KH#66O4q>M3 zC2cuED)Ou$2GBBS|3NbivZ^6-ZCw_#LNu~eEb$%t&r4JkxISFns@875 zF2P_~-Z^t2cH~vSm@V()q9CuS_8mPwqGtfxN2EHG89(qQ8BeY5!bPQd>7H{A&Oh##ABHk#|xrJVpm zgy^Np@p?8E4t91lp>5-US5=TDtEgCBjfjD5dEbr0X|{t5mF}-nkQuiwsDB zeq&~SlFX%J@Hyz71Wwzha_h(_^~}lYV7W4Wva}0GW!VsNP}tXGoY2`|4ktTb=)%k2 z;xjqo*_26~Shh z^8+~iE8Xfgdgwg=0OBNiGZawUGGl@|M=seP*yu7~yM|^Qw(AYky(_QiCZAoy+$wrF z4GOXuCM4GoiYSMY8Xp5Ai{|wZFql1*JdF~?6&0-*zZq)_z&>)JkL*A74p|exgd6{_ zv1CWgMST>X%QHAx{h#8ivgIE zE6X#w^6-Da80n&agtUMgD|?m@+aYb=f5ZQbP(0zMI_=#oW=t}NMP%6*9tV7#C$q>) zv!PU9L&pdO$CI5AF!U3drZWHTo_w5xOqH%j*D$QxXh)99ZtP!0v>I)fuNS^C(p^Q* zaZeC|OGK<&gNVwL2_bZkP@#RUmTNvIM0IaawJ`fKy3cek6G`JgCNtMr347)KV}fhM#!T5*h!OlblFno?k_Llm3ii#mza%F;k?-%vN zTVN~b+^o23+a&I?@1<4Pq`DGt_PDR}4`${2@jYJ6>4^>8hqs#vhjQ)H;MjDs%0!uA zzh!L#MJ)iEOVvQ_~ zb~qJCFqfR<8Y#DUI-jf#3kvkWN6$}0h7Bpzp1CQrMp)6nP@)>&f^LNf8YeQJ22RC- zIU!UKxDNAc_K6)CCiWDD7Y=|6!4|bSBr;$xgK4PAo$pfTYA~CD(c%U_Qd2JfVwfq_ zise=A+*Y0(3~3i=B_bwMEmyw*UQ;NN8*!8p7EMTHCot?ODRBBhsWFb0xVHHMtV-h; zsqw+)P+}3zZzvpyAscSIBxRAy_~iOR3|Y zI?QHW`Fb>6Y04358H9;dx5~{rWZGnOAUc|X$R0$uo^6Lw=Lq2d$ML;`As_r0!J`Vd za-jQY0KkX&3&)}D`Qi_uCWHna!c02@!Sj$tfXqSR-&|@3GGmN^FB_nF!WO79-*$ zh!8m&4lljjewDyx1^y7>(U zvjaA&ZFH$du)k52l#~!@s;GZW+d_%n{<78D>h`(#xAqnVMKO0kNr2T2P2L1jk%1;r z$=S{QgE0QUDeIUN6kZ{TzmjDvj7~T6>jC=mTL%iLB5>YAy0)clLV0tQ8R)r>ot4~= z?Q~)FYGVi)hkRV->&_$x|NM(DVf9cNodI?pKRcnv5LvJnFYVDZfqB4jkJxc4w1OYb z+>^m=(#$`6WO}BUz6Jh|Im$_H(8Y`nMzDeO((v775&eo;Y{wgg;_ehIEznZ zTIevZy;VBRd*STlS88#A^)xLUvfYyxZUmUp5YsG-&&0u&!C8IPh@4SD^l3&_{>>cu zc8eQMJl-cn_&7GBd5GK^;M2BMH{R!1PC!ry;R3wS7FgaS591%`?1;Vtp_1LWNyB4) zWCsj%8sG=uL(jGO3qNP{ul?ZtH8&q_Se$Y&0un>SZ>d^CSypILCBXR$_%3vBL{37n z1;wRHm%2;s&Q{jcM2RzpTb#;vhnIM$)Nb2uy@zpL@gh4YH5hp#ogGJ^*f^tphegfq z(wvq^5J^7oMDsh$(WmKpfSeF!hlL9UM@D~hgNe*+xU#=OEH`TH53*NsEggY#5>YMQ zKcTJv`7^!8)|*L9yJJt)zYwF-;~1iz_s_BiCwa2JQ#i(es6Uu_Byb-HBnJ>Pk>Dcf ze|r$=ZKy1w=dKlWQ|#MIH1NW7&>LoHG72P|jMU5B9TXI_TR{gvWoz79|JHZ__zZ{G@_ zAPAti2qFUGNRdGS7reRrp)AjkjncD-Btovc$lc#dx=~bgzy}OEaY^gq(h~90L+{`B zc)iO%Z>eL0c7kg0%K8TshubjK5I566yRD6p&u=hYmE!sAzwr>}*B}iUUSR^I2sEn*ucw&fk;DYadysQ4#MmE zXc1DP5n6HwZBXA=^aml{#A8e&E)Rn(>!ukY2?@Ow8!Nl|fW`lC_c3GwyhjRkuGx#~ zoNH4*ew=~2Mcilupa6&IMSy<}(lOb+DXFQap@6ZL-3SaMnFUOHQZfoo5#3D8bj6r|)^E)2S{3P$%>Sze zaC3K`^-K^sN5fB)OSdntxBkSA-inFJOqpxjw#K{zj;qkf9z?E4R3C!A=&z+&aFPf1 z=b!Jhy0{L#N{!?hsR2{?yVYp;u^7sQV|y=QV3tmWQep>V z;=_m9*iW}r)eIz@UfX0-{4lC7<)^r>(8Qb&dDyCUS(0=mjAxZ*mlbQ@4UL1UR6iop zsmN5ouJ1n?fKZ;?|HIdJhxOd|eg6{e5)ElcMTJVGsWb^ulB6Xm+G!#q(v%j8mbOwF znuMf1G_P?>3Myw>%NcYc>a0rSS-BOVLVYGWJRu}#7J3by?jEl7^-VN`ct;Dg!srjC}AC$o^!o? zSp=*99F`^_a(}%|xX|lX_CV)vkZBz_KFjHNv9Jn9U4vh=mvqjEyQU!C|wEzjxe^=!H)1% zyXzX0Tq~abBXiIhCc9#!XWx`OZ2H<&Jf@SkNk)-Q6wxPdzWf7Qv{3)%@J;4#!UJ8l zGUp(|NsB#%S|S(&Vdk`BQQI63$lJd)d-nhsOMKLmshwe0oU_(%NaJ9d_5<5}66>j+Ng4HC zc&Tw<<)6kGg~oV~xV_-o)(y|h%}M`#MklaMTDm>u-|5?qv! z@f%>Zu2e(PFsjpDHYhxNG*oD6gmcrU!#8kNitnV&Rr?90)FOG#| zo!dOMZDyho+TKI37H4);@f|awdY1VsT|e^>R`r3KM}Xjb7x{P-p5L4*GZ*;+%IPx_ zh9$2NSeAMv@7#4V(?g(o?nb(XKf_mKyl%&<+>reOJU?eK)eqI-e~d?J#b^U>u04pF zXtd^JtYYxL03+k(Yt?Gm-j^}fdo6|DPwANC>kvDg-g4hV<*lCQ?y|1$iRjHZWM6*E zz=wJF8;Lxjvqz~5f`rCSV>4}(e60OoC(az>$Urazv6QVqw9fDR6nbfD|0ShMf>^w3 zDKD@8am#Eprb9E9>U99+O#|eHgek_e5g{O=9frO*eE=*e+Tk4MYnZhiz0-E@3&ZIs zZ?-8bKLQvP+`WpTilOCXBQ?HG>D+zoG@rN5&ahzau!^eZOj1Kh2~UmM_`1?hvbGi$ zNe#{qBO_VCUU2`@SzGGI+WxpfHO_Krh5B0m`}fnKWwUSn+=Qke)FJ~2Q1yz$svbdw z0XCrr0@-WL+b#V$3?o^VguBAR_DaZU(4nL7opOw?Vgf{sGZz8S)Y!vt?jAmTSXs9T zU0mv?2O3+h^T3UoV+i;y7}3PUGA<=0g|5Q;z!g{((YQA`BJW$cp8x6e;|AWH1{vPi z!_yG^Zh)Ha z>LVm15WbCcGmu{2Lm9B=gyl=uM(KDzR>*21{*eqnr0!F2TejL41In$$Z9{~{Uq?rI zW}cVr&cFdl(0rJ-1c90Y=fIz9wUt3AY$a&lOrZxzyCYfPG_Hrz+TF6ArP;lJ4KQU$ z#dT;c5;6u6&4k;%^u`J|E}s^W65&p02sVb0xEJLu8r?Fh|GdfqzoS|BQViK6nx74D zM8v%UOZ` zL_SZ9sp6B+VZ>e!{Mp@7X{1P!5uxH3ZL@Y6eF(9ua&9SJ9re3tJp1-*Kr@l?KG+on zd&Lk)hS9Xqj$^86qX=6N?x<={qOjJi$iqB^pYp(bJ-5uEyu@>>_YAXS`x4nSn%Xm{ zUX?wPts+&YQv_@tG`bH^@y^VBJ96B0B7D7>u4T+o;a7=+&ogm~;^@Gs#L(Rbk=R^& z@|nPrZ^v^?WYs4)lBI%ks&L`ZSQ(;R$+-!A&G2zKmr*fvq$Nl$!Q&uO!>g;HbN49P zw1uM*+6*=rID13M^!Aw)w<9Hw%T?f2fnsb3QZ4sl@_AFgD&4$%BPH8JIQxN`i0!M(iDkMqtsPL*)L9 zp`!TafC|8b#03NyJL*J|yh7%-;ETem>x~L7!o&7FJqi<&^xa;M;f-8xm**H!7)!Yh z?ML}_7Wog@w)`+*9o~^%_Gg5r$l=3}oX2f<<_>szmbB#`%IXpn6AO8M50UO|(!0C> zLufx>9O2_&QIOe)^>-!BOS&9+1SKWH(`O0X#hTh zbOIP{8JjeGKmuiA7{HjgZ`a>9Hm354IDI5dKXn#(oHV*! z?ryNFYJG1p`B3Gun_J2#TB-sC=k!Z^f9eD@3hHXm5vx$>2i}v-kvmS<_MnpIQ69Bt z??xUv_G7QD8A{YA-;n_;-gc!u@E^-72(b=3B^T(9VwHKuZZ^|#mB97(KAT?aQd$24 znrB=9*~#s>^adHs)Xfqa+NaJmr{x!Y?>4%be8w5gqm_kuU3w-2D9ZLv0P@q>GhMBXE{}g- zH~MLH(_#B$kExzENAh1HwS1!(PjK`4u?D}Z;KKP{f9)plIiH{Y>rTC1z%bz4Q`a3@itn)~Jf}dvzYdOtX^y=c#a_+;v zH~s{T+m!r#$n)&3>;NkKD}z93c0}v`dU?0|Zobr!jD*Q>7rM%S?Gg4A;q=WsqZ0#lfEq#cxgocwlyvMF3mH;th7jB?+g2`p;6GsfM&Wj zPXJBbqgIBYE+MTZk*-q{A@LN%VYT*b8KFdXp2a@3i8$Ssc!SR71b%+f1X03Ej zD7TMl_~sVEC6$t0XeeR(`IRhk)Q@A-7y1=TT=70E()iXlFbILNx49CVz*iDJf|OBO z7TzT84h@Sp0);Fz7}UE7DCD$GAvL83H0e&mY}p`xIBnBg6W6cKZJ0War%6O-7n#otpOt&%p^hq@!o2{Y4ZDW6_n z4*xOdzG2H2l9E%Quuv>d`Oh>fgqNF~!jy>`7@CKJOpmId5)T5J)#h;G>}XSrFRX&p zt;RCZ9k(s!tGn*VJ>(Z~V!zM_mQKdjA)E6K5G@?cqdU|?V z^UK+x*L4A1L6iW$r~8Q+^1ri-g206mK$}K)1UzeX;a#b9s1)Htxx>Kd{c8}8DjA;V zU>7kfWIy%?4$~%k_wJ12RTH+~_h|u)06GgqWc%1m45O75&rG}4%=NCr&NN^#PffMfAI*2YqYDG9vHP+x8B^?WJs6*7|Eu;c;cTd|=r1uMr@zW;4k_f=|WK(Xka4p#&Fs1qH5sR~M2#;8si- z9XYCl$ThSBTF-oad@QW2sG-jRA$~<_Q(IeGib%&aH^M9NnQ4bs76}dy|^Ri{L;R6fBG86h%NyN3~y)aW$?Wfk^m+NEflV;mfA-0dBH4`;$rtQ z+JsD(4|R2cHr-;8;kb#0aa)&4VqdF+8ymj}SOYr513CpC*G-T(Z{*omxqr4UA~Kx{4bN zv)FQHTydzSEm`9b%h+T`fvT&_!pj)?jp;W~`bDShvC`3Me5%T?;F2`30&<(X^9)F7 zAkCp7Oh{*yVZ9WS%E;RB-eppJQ15h}Q;ezePyeOb@@{$jF`T$$?z76Z2&v#Sj8fRC zfeR(y=KU7pNvC*2FfN232xQ?6{A3>aSByzXSip9?U^=87I2~9p@c@Axj|M7!QZV4b z59$vdUYJc)B$ejO_1See#RBoxh4$=; zsBLyKwcIM#3=2UzPm!fx2aW{%BSIMfw6~MHAn0RQcjq$rI9lF)S0jHtt0nW-Uj4Yr zws!4WF2`yH{7kLR-;g{JSHg+jwF0R9F_|s+*QzraFa^B7_HjrHyg&dJtm`fy&#k() zHU%Cs>$j6g!9=6R@VtWv$z9I;mOoN0U|XDh=VPi>t5Eok8!aSmE)Kp`c3o~EHYc_ps=23g$ zY0*z5_F>3Ee7g}~Rg6(k)9bUrX;(T)$P>43?+k`}A-i&MKh6Xt8yfcG#r7vDujb@W zoxvxBP2aXC@!a2ohPLLMD^~!YG0RMs5abo|4S&dTTCb6To;=W*D1>SWq1m%PmJfN` z{jpFsujqDe%f?eTn=GdbAC+rZaVD`TV^w3`O#Q%_N%uRL^V2mYyo0jSY!|i{kndw# zA4NsgWlcI$JH8gX#n~5hVOZ*s9o;dmXPTDf6t3#dnj`wRP3y}Q?=w(R9t0qrY5eBN z)a6CquCIwDH_0###3@WgTQfnGR1FGh%sNQ%?5>&cawRxpaEfUH&2b*i7bBt%_?_By z@-bfw14B4)%Su(@7~6mC<#qkCh&EGe z)|7Yb@kZG;Pt$>h44;CQ0!7R2lHp9%D+Bh;LATPlIchC*9k2}>PA@_qd(41$>EfJM z1$x#t$hH!MMBVd>mbHW1i%gGXNFJrXZxn4R2Hs%+$l?JY!x?+FovUwAZVxyC zb}f#jhG%$Vv=tj%)5y(GgW8R1Ikkek&ca?@FnUDH)25P&I@ag6afLBj1@cTGqr&yh zf*b}M3kQ&GA&FU$J-xkiUjV7GB6v*W86f$vE&J@BmjT2@T34*igLZhgD)LZ21%U8I zG2O5ifJg-!Z>+CL&htYKX<|$6h;TvCZGo!?884EJ_XKN@{W7jNE6S`RasxcsD;C4J4xozAs-L~G)+k_C^W zU6NvM*LZ9!UfrY8Xx(F?m&1vX>E@HhnGKi7K@3gBnI1rL=2dTg5#wN+T%7e?uTl=t zHqpzGW@c>^c##zO^botdY#PWp3BY^&pK(+)v0g}^&A{Tvp-lb}8F+wEdmzWF@pW}B zEYYWFik+rU>KjuyLB}@XNT5pQN6*0>=nd9wNLR5pKjd)K)&}y-oyKb(E%tU zUR?Ox3emOx8|1Zk2FqN}I++y!XfNjRfv1q4+cLXA90OQL02&(GXsG7y+zID<+td{Y zg!?R>p0IcX4HMVai8veq2uUuLs@De~N8T@qf7FiLQ$15DI-{+(**IN+Kj~-n>anxmXmPOzvn|5JFRhxU;+eudXECs18>+ zjyYxVjNj{+s`R)S9%!GpFmL2oyP4;D|E3Np_lVoS1>!9yKlknbuUJKV&3D%rluIyy*FZTkixE<@mB1b8unFWcLfz1#Chip60~1tCv0 zPI5$HmG_Aa&Yj_zv?;NU1r8;=8eevozty$51rl_;Buy}3SQ`Pv^#X+!ncxEr0m2QNZ3CJ2j=XG zqbo`)RndA^aRosT;sf*s{i$`gBYtAULSKb0LAB7{C&uH)nay78_o99 zU$}YZp-H1*=}pm}N7JAf21fBXFw@4_4f+O-)h&_MvsI@>p-;VYHPFG@F*gxve3Gq* z#0w(ag^HoNuI@xj71A_NV(Mkn-1h<`OHm0_d;fmuf7itn48tP@P$q+TEL_OxQo&4j^8^wI##TgE zV-u9BK!G>v`C*-p5Y>`l0O;?0{%pAV0(Stk_%g4P;xG{c!ZD1QuW)kM`QV+{LB3!F zHxqRTLoj4Chx`W}S5+~(H?{H{=wA$zpoa$9pl4)iiUhnC#;Kc~FxQ|XJT^W$5rZS4 z;xYYR(^@kdYr?W!FLZhh2?`>3WMVkI9__ovIX+H9w=v^?wE*Lkf0=vC#4k&Q9V)r2 zokq+*fWh3{+&ts1rt{t(uY%qQt(nh?;_rmJ9VtM5XP2a3{0c=jLh3-EpPgo&WGtrH31p$SkkPa>ok~wTp+6*a|jx%#4yr zHV8-amggOyJ>8r8^vr|v4|n7)^EvaR@7!j=%Eo3jD{Kn1rg&fp2Ottq!oV1yW+PT| zpHHt~5+q3mcs2-4T(@b{CK5M~)(?!8*oj?<08J)r-DihtQgS@7_Q_!Z6{r<7G~cwv zYZxk#Yey12xA3bHeh?t<5Oh=)T(v2RXRnYPU<7t~>u2sq?SnyL+k5zxuP)HRQ%Q%s^uh9%+epIL^Byx}MnrU1|f*p@5F-K&$fRseKUg%-0GKv=W1YNmm6Yi&%p_ z3;Lt1M^kT^9$9zLpT2AKX;I=XED?4n)Y%J(I@QKrr$U3^5kd3Jlp z+A~r*`M2%-yN;Ur?O`5VZ*wl0OR4^JlgO#NEb){^D!0zSu%)knzGdRJbaTJk^q_5M zS|(m^-$CQP4R3_Emt<=PuF;p#evW4<>NRTfZ^+fzQ(%V3Rn=19Kk)J6Ei^B2U02-|&`dJS zy3(TBxDk|>$;*?^%=t*|fb^9-%tJs0y9N8V26sLge1P2t>pBg`E<-YX&IRf?x5E)Q zzGo;ndsx##pM^tul#Ffe+|2LGF|A4`KvGR^2vC+M21kmBLG+KUam0xeqTx$R61`5wWNsfB^URV_Qn~HO zyZ|ROUzORjW;yECNgjDq*u>*w{wQq~$1F`X3oDl$zHvr`(VA=oLCQ-VV zfBwwpt?L`q^{Lg_fw(21pr#u0qx^r2lNyLkqZ(VQx72H87WNUp2D0B=EeBiMjD|cj zxU}ylkO{bCobN@CQy6ac#Y*;{ai~oB^_ZiN6z&Ct1_$pEW$TvOWKkCH_Lte~#z~4Y zRY6wPB+tsOe1hyvU&YA-T$xxro3fli)=0AYX>Z%OB{7$E@1?2RAZ|OBvh+krAPRwy z(-Rrpzju825OuJMm7RSpTv8sB-8y%NuR<~!jUw}@LFO9F00p=JNOTA>9|l{mNqM{t{ZUfz2ukFUxrC>@r59$-YGUZ^_z{IXrMT&Oy{#_TYH{1SWAVRZVcOFlBK&^ z&T}MMZNbLAijl>_!uH37^_yd>I3i-S7Gv$gxLwMHz78ne_YSQ8qjcf)TXzIp7mgp+ z)?P#L+{0n9UXe@E^Krw0(s$BXOzu6V%XId($&1%wzWga!L}v z1MxUW_5p+!5oIk(xd7k`7=MF=d`>b3>={d*RW4WVW&C?-OCIu;1gxNl$}=wj&me6q zra}@@3Yul&A_72c0rr$U*Rs`r*ANm(kQ*{b?c2;3$VXp7z(N`|$a)jfKzSX2;RViQ zm+|)P_+eWy)dike4G4M>kai`m9Q6Zw7TLqYXKPkzkUB_*Cya}z_ZOy20SZ|TJ7Im` zr4On83`?oVn75=8O<;$1q}>rhfPO9Ja2!FF!#0gbVc2rn?g!cpV40e4oB%VA>0kah6x0lE_(AS|^exZEjh1rPji1Z|0DCff z#nTggA#a5OHvIVK*YeDa-Y~y!_Uo`OuKxHjCg3FsDX-d`Rm*Vv{+MiBXb-z}2;H#y z2SS!`C;`L+u$`}2yvV2VoH3`XEdZtm{6X;NsdlR00pMdKSA2S*KK z;pJ)bi1EMh>@ZCvgOL3|keyi&tG1W;N{r0U*q2w$flB<9NSDo9kKwup6&7ep!JI|Mby)%!eRwGQp zm*RYBsfP)q;!DUf*lCHkKw(9iJ)YaTVaRYxR|VNGEHBQ=gn(%2JLb091<%X6s=W7@ z5VJNBAmgJb)inLXU}6Qho|lwF6Mig@gl2f=o(a?`o`)SLO7q2@Zt)I@Q?%sQfl+*(zf&;8#L+xt}yqq2&^_4LxO$ux$}x*BWS2YRX;u! z)>(W>#hO^v5oI|sT#j}NQsR;Ul4Z&L8_Ck@=z^HS0A6m)+^@mARU|Hk1K@xjlShDss}_57Ul~s9m~y&pDd&9Q*JQ%H7>>m)oaQ5&kDksrN|VG3$MQBw5-@ zQ%4?5d6D@5$F22Kh zdaOF~Rg%@8KgUB%8$tdbs`dE^Js8>)fs`ITbZ9GS>3$mlFQ45K=x|=x8^tB!xo{{J_5q} zN=?J@HNDr^Fmg{eJ2UZ&DIEkSB`R{^|C%W6!!o<OVAbVC5Xe~J zUx*pe!u6T82IiQ?Y<6p9D$ zM@G_9;$M0~mGi9eCmm3b&)4#gD1P$uj=i$i@dP^#N!>o6{2y7=QRs;P_&i0mcB$2w@%V z2kVdUR^_dBaAEu@?x%ALFQH66c8!C$VuL}W^wQ7?AS6uIIHpeIgt**Vbqkr8(krbnu4u75ve?9)jOBZl}`kH#D}Tqns1v& zpYvU685$f^pH@^*Xq~AY5fl4Po#fD;KC%yDq0xP~EN+K~Z&EHPQp4IrP^^>!44BDn z_Gf7~w+L|5&9ZCP&vJA`+J81-*u0IavQzW2XDX|Gw!n+6E2i_Om~>cqgcC~l@0^3j zt;m~4`mof)O<(*NoVCtG=89L(`Iv6qI`+OZK!|;jI@6Q+bUY%wfzyTAY6}_$7lI`! zL0%Hc;Rmyx45*PjE)vIy%&D``>-8W>2^6Fs$W>-!ey9T$C(tt#aRP8H=#RP7`9r8& zaZ|)&%pt#U+=}nU28}!%_++vZwlo>G4hO|;G6fM|l#G8Fd7l`LS#Qf2uI-^xrT;XK zU6F8-NOXMR1SFY2a#&?G(A`KvC-)!E$hz*i?fdq9c3gfO62BJsc5KTmuHOs&WuXv* zabLt|&`2&vKBp_>Vz1;pkJL;Rd|{5U*Qjx$sL6^*s#g1XJT{Ad?$=U0W)6EPn3;-Pn%y_Et>q z5oKq17sxbLA`%}TzhjgqDb53|3oDM{A^NeN1J9+%(6t3+aP%0-*mZ69ua7NEd_a`-fB)_T0?fPohnsh5;U994s59l~% za?#QdYz?=e_gOAfD`0<#H43>GrRx+=ML+BBro>Z=yE`?bBxCURF=w2ex&$VQp{(R$ zbTGX4lver&a0ly*7}J3Y9-)6>lvl)rtt@-d=}YO$v1vs4V@?pU9wL7c9TQ?fl4<)c zfJLdic5L-6L6%fZ5hs@vQHI2cc6R|0du$n>>6l58kD-roN8V|X4+hA#<={o!6&u*u z{Xjh}eDB-DvC|-F1=UmHt@5{Gyc|HYLlgQwexw?BaSWjQ(xcad*4c??{mm$(*1jsy z`7nTmPdjl^$#)klN-l=y8=|*&UMgAh4p7Ov;tP%~m1#fDuCiVJQuWKm`^TAwU8M)b zdS(mOnoMomVL=J8;ZE5ZnSMrwnnq1EU5>kI-MDDAF__KLR~Af;s>`(c0={dLL)HiE z`8gQGP?FkGnc_29FOoJ-J!23T{){nqYcPANta9r*^To(ECz&$>s|prHYo}DpFv|@5 zaUjqtvb*pNs}P7$IUHwAbRtY!l)2E}9|T5Ba*{}UidvT9`Ey8T5W$exq$I-u25S;p zf;mOx>A<%%Tz^kU;pRVOvgL6dC!^OCm5`{#fgp)^L%fi-O9l_eEi2ly>FA$?-qKlr znR?U-5|bIZL#e5$WHkg2<0}8=)a14D^Mmzh+^P<%TgczHA=vl`l!aD_Otk^B+WlJh zK8G{ae~HIg^KxWJqQ7D@E19$+I@nhivy!|qgNPBxS&FjXtJkjytN?gb>|`untb}Ni z=#jePP|PJ)?C(G?2kblLOH{)-#D&&?wAgQ_bM?vxCJKgCHP;H(_AkNliDmg5%A_08x0nPVu8GB|O7!YX7WWnGhi(tg))xlj6co)^xP!BMR4|nJ z?dm@zd_EerQOd5ZTPZkgQrc@re7nA&TdG86qvzQYA1O*{5k6NkSRF1H^)UtRR;NL{ zcV%B6##kbd?U<&jii)|5lrw`_@(+}RB!36kz6A={=sh-JW1&=>V*N6~Se(Sdc0)I- zO9NBsFf@(gjeD2SlQ_M_nIquchjxv^I&G$d?YRcBJ9*>jml#ney~1z#rnC^ZbCORB zRtn(_eH&jp(JyT3TWaYi>?2@&pzZi5KW6aRmf!@qoxmT$Ez1CL)Il6cB&7%|%@TcZX@M$u&YY}= zLprOpFPsY8Io+?JoUQ*INoeoCN<4@F?Xqw4hXZV`?m+rXzT{(Mtg ztJu?}o~j3#P8>bj_||XIzC-zsnXTH4X~T)8`qzF;P8&=rnG>ZD6I|rSgFn~wR@QT6 zd6`hzCeaOH$Dz>BLNQ1%A1tGJ&-Bm=BnR|+{pKUBEsh^DYMN5+@D`hkgXE()aMbvN zJS{R2FI%2F0(lI{ut)Yr#r^F^fUD9X&I|g3a>&{sfhQ7gB2DT$ZS148n=gSL0uX1CdD9NiYQJtzpKxQQnkQ&KeSrrT;o<=7c_Zr!O) z#i4#D@_gU&zaHlc)|YH9+fbR_D1E=@{hrtEqhFL>^t->m60T~q{DK|+8X-oD&P-ty!#Z*MF@ zK}+aIMZ-(0JP9x`VO3;<2O5fkJ$ki4Az zQhJ3%5f>B`%;17laToYBU;hN&9yDx(yFvL!eldzal9+-vjoyp8Z-f61DsXnJguj|D z`^$n?#u{A1TQP!x0=i8f{#Z=JfRZTQ%3R`H_NP|u^-=y1R_)Zb0e~}FZ$@FSpe33Q z*ba4S%b?HOEGk1j97Z)uZZexO~G|0Toe#J~g*;t*dM-a<$K zBFI=?Zn{5;`Y;*QJIaf$YE?l^P!hPG>Nwf;DRV-9tai~J58)5yy zx3QoBKqvq);s^=~&VYlyH-jTRPcEV?FHLUJ*SIimeKK^PumGyZSju^aT93VE}E1-}J1}$~QX7vf<}$2sK(M*#fnCPczr0S#J52SE)9UNKFw4 zgfHmJ*MH0tiN0R6MuYB8g-pt+!iyQiGD|}Iziqnr`08!#*ta1J#U~HxeW}VW*wd3z z@4eAvA&uK=w z(XRM^H3#WyTZaf*jQ@iVWl%3}hFmB;m>316+`WVZ7G(WGN5uF~nBp_93;`OB4=|N; zCTe58>2?|dGKfPioc%De_YeBcuV30_%Tz?~429I-2D=tIXBfD*bFfR}JKw&1)-79f zw^sj4D& z4Y?J}A_c8Y$ISd~`3%5xtl1Q_zvP{?^}vW1U-M)fow@8T54JV9=Ae0BgGo7gWBZQu z?Glp7lz19nME`F1-%rF-b9^XVwIIN2f!b+C2N?_4M40w<UTo|g?E9J6_{pmFON7GLUBuEed3+C2SU;k++`83U=xaD4ILyrx8kiqy zr3$Pu$~SV9G^g*ZlC&Es&HaJD zCiVp{S%k}@7$7?Hnm|eR11Ddr?qkI8nbQL_O3}YI>+zL_X)Q7vxB74vS)XHZiL2a_ zyI5!Pgn@f1WsfV*tE-V3elj{z?K^|jZ)phK6X(8t?yg3NcE+rp>8-lno7pmtS=HBx z|9k8{sQodCU%8^wdaKz6U#8Y1@mwCQ6DBY~!h+DXaVcoOAcsKsGSMLsKAa=U)0Ly2$SgU(%D)b;weKa*=$PTU;Pw0oyF!`>2~_6 zAradJJQJ=gzd(b%87~Wlf^w7=$4yL@w4|E{xeaAc%=Vu+o&7C!Lv4R0cH+X86Lu0wzUvZgv2s--a{yZdeO`)P$IYU~Eh^V-4H?74)h@caO10KoGRE$>Q;FTL@Xf&3 zI0%<`%F22QMji=FFC(Xuckl$plhrk0+!VWvj=SG$%8T!L&E9~E>-sKn0i=w1%zfx| zzr@@B)dB#nf$#-o<_s2jQfVnKSl9;-9+1ecHbZfEM*;9ER(2yD7tMyO^>MM~rK#4mN6OQrKI zN)(UY=B9w{Kp$HP=Y5-w{p#-@I=owTz-kKJhVtXFibL$~Wc(MJN>&s((4ryW1I$sMc{rb>+y-f7I|v&!c5-ypo9+OlGyZ1LA%@ zm0V;X_#;ol!0{Gq3@4y&67u!eZBr&d0f%^K#mH$^<87>{Bx`=ur8Q94rV`f>2%K z-yOiYk3HgDSXg+=y)#N+U#L$6QHZiq;52X_pu(=1 zow?9dp>yey9Gq+{6rxIkbc|#q0uG1Z);mQM_Y=vkA#Jr(hYrlqQ06v|JOQ0WOt0XT zg4m>xvWirpK@@`3z8)xvjx#?5!$=M?=!Lu^*rHCrOR@okrxv=W4Kvwi-hL?;IPQc& zrK}QtNY1dpp+58LmvGq69t)Xat{h9y4`yZ8W2$~DLVyY{B#+KC)N~@hmz3X6l~VQ& z4nsJqcoy;|Xczn-4F^F#T8H5%ao@3^3r68@sl7+)w_|&lCXr15u#;{;Sc`$55^Np`40Ezzxtp?Wtvk& zG3*9L%fZWWfLe%sjmLK>=o)}BYe4g*Xmt=KBZ#kRu0%C=yrTu-NkUsOrurPI-Ze0& z0S=_wf8-;cvxb=@J4LD^_khSyNMISt56me6NhqU0*E-rsqvrR!T=l!(_>+)`VjD%n z!W}mkYj^&No=xc%3K_^<*JSEqut|J%({Cu5n*+}Km7902^4e?oCXVf@*Vqwzf@RUL zeOxR@6${9rN1sd(84v9{o_XyNNo5ShFlR9Y5!ySK=7qZA)S2Lz)*X&neCt_48s!zn> zc)lGROy=*PWhRq(&0b$(M$;jYt{Z;`5<3L;{Ac7S2q0#U^e~ zb8q&V2cBYsF-0A)V#4HMTfT{z6nL++SY)7&y&D&YJV;F$Yd=Sg2|afMLqkiD9uN#~ z{q)3Jx5rRlpNO;F{3;-lMAQH5cq|&8AtM>d^K4R{#aU5O2ONC~;rCD6C zRM3r8H<)9n7J%Ad+*(|I;$mW7ZTlvaqKDlTHn_ z5``q~LT$tCWrMPcB-Fzb1EY$f#w2<>u8X`LNQp$uQfSc=C`KL$EfyJM>8vXC{H}fU zMY7Ud&Nj9d6Gar4pOPu72ZP_j_H=4EI9~WQ?`Cx=UqHGAZPtv2Fig|Lrqi#xh3s^w z=IPX)e5`%4^6tkA`{Gwxe>O7w5}+2!li}1|jd`g_@BTCG**>vq<#@Z)>$oNY)vwl8 zPAKIMvEA*oRvPqunIHT8Tr2O}42|SGqk0}B$%Aj3H+Qtp1?C2zwrW88*s+5+rl!uW zi?gYsqocT_d3@KUt6@%kGr_dkmJ&A}S6_R=^F&zmZWeE9rsm%}C_gRyg$?$}Jeg{X zF7Rbq);$n+{MVw!rwzYW+2(`=4@PZCb2tVRzaCMq*E4GL>gW_dNzw+~j6SUk5pn6o zy34Z|68&Fz=!5a&}7?FpJpwTK3B1{+c8#)jo z>jvMDoSn^trwG7Yi6n+v&bm+aNJZFnrfX1N`)pyK{TED6{dtCmTUb8~eyank7BqB# zBrMK-J#29Dq&nR42tgTMMF?TGR^aISoo|p->HQ(r&+Fn?>)^}L$^L+-+`2;90FxIN zR@S)d(+ZF<01xe2UI~O$Am(_R8FavHVo$5Gs9>OvO`o)t6I?rzCZZ zunkdKo0~&z-NxNBCaSRf#b_;du15EVTW&j>u>zIHh})rjO?}a!FNj~i41c_9O@z0pA#pc1!-2h_F`|w;XW!4pAl3pmf+I~ zxf8gt5}g5RcOp*0oKO;CF(~>(^p2))^7`lAf2-E3e%0GAS+ur`xWEqofROJFPS-(z zYhTr3PS;`=eJxc2bV9~m@V@$kv28$!d1>F8L9X?hM%;KJ(J; zz|5oCI@P8Rx@2S&#E;ZitzV5VPT*dS=F9r1TeHZL(vxII!psT}wUNO9_$J@p^gOCU zA|V1CX*OvNpFPTDVrt=6$JBLyhvZpw_M4TC|#|zpqi7O*fZe_@qM!pAsh)K@}`##JU1qtk{_{UTony;DNV0PL9OmDu_LrDz~yW zpHC%rh-MWMs)q9nQwq`3Sf~h?XQ*`D9ns)|B|uVB6#hE&>UIlefd2es5nWN5GYpZiDw+I#1ERow|l9=vCC8I+Cegf@&%uY{BbDgUh zxyM!+Zgc_yLe}Qjs8H(9Nt0pVkdpeyt$Md~Mv9NUZ)ms$NN&SiyG-czBM*%tH+eyA za4SU=`WeD*V<0Jpa1DFDdCq>_De(K_Axw^y`*^7*HWYnGKw={Q!E2>OMeHyUplwNS z3sp$;xTdI}MybbxeZkh=VGh_@&20O15 z3&cp@YdBZE`~}`*>|^{aVdLL(eCI-V`pcDsht-Z*xxE?A zza9yGEq}qXTVD5(g8E1}cqN{TkKR2j?%e-luC(J?*Zj|d;&mL~&s3+#v@h4C{CLG!f{4;~z-gz2Hz@f8t~ z41Rq4=OKi(gV3CjpnpWJwV|LwaG#n)R4N!B;B3-lHhk*0>}r%5MK@f^P6_DwfLG+?juK$+QI@@7={y)Z4S`T>7lPNlKe{Z)?Y!JBMB)A(Jdn? z7X>@c-}PT+1AGfQ-9F6@$sx)_0fDW_=W0 zpI9dH3kQwhx#Obj$bAdv#7Zp51A6&tLnZ=}gl7;k0hP-eP9d0wgx=0cM#`wiob=7p|QhR8arN;*Z2D*op&487CAO-Ulvy{JzRWB>>+iAZR)JfEK(m3&?U_A zr`nxoxIQmnsx~@4Zl|wS9+|Hqdk0T+SOW=Nx8@a(;IOxDt%I+V1b$QY(mE_XTmztH zzi%ISZ@iXAP^x{?8s9C}u<6=7yju{pn)XSVQPpI}f@cz1P z*s+xH^r>|8-yT{^9KhBebf)sdbHtmo;}-sI;n7f-d<%!ve_~fH!%q@3EGlZIT(W{t zD{t4+@a^sJ=&WNKt5pn8{lX6TghDy&dHac8@~&?*{O{VDOuMQqjfk6VbJ2H=jYJX!TQVbOIwm!$ z|KS4wi4znTxLsb$OL(P`1>^Hy0Vmf2b%4-o)K$VAt^6YPYo1#j7Vr=nDK`{mEeOx5 zYGjrZ@4;-7kN}+FTLy{l`MJfnfKBmVvJ##}v3M{GJkYkIVB!S?C9=&XdPq3NhYudOP88$Lvo%8A=5Di+R>wXPcDaI27crjxb!(L^y^!Q zRf6SnA&0mt2^))~smirqQv!qdm&G?>WGs)_jt37`5kTjeR*hmn5}uAwl?r*b`78K%-C5c}ho`@N#lMeodi!IQT|hu0yaa}xyr*Hvh# zTTwB5y$m>@{*9T$Gs6U!l;a;gIvTuRFxBZqYMaZ5kb4y3U7vix2c>-OLG(M@D=Zq} zDp+JgUr1C{Rx(wxY?j`y*E>?{o;-gRtnE0utXAomkcXJ(OC}jYq0xqV3=h)-;gX?^ z4eeRTA6bATxZZii4G;$V%T+Xw%w?bNySA9E!1}k;EZ_gt>mRZ(f*VaijFP;Lo0z?@ z7a`Xq(CR(RljSk5k*L2-R2O!ny$G4b-%o>LQ|n(p5_cQ=kr%Rc@in^8hHE;pGK0!l z4UY^X@Cds-KLb!XSSfqqlTqudhPJkQdst?hgEjIHe7La=Ps&Dych8L*2QH?p9{G7i z_|&G7Hp&>J3KfoJQDVj#)Jc=-^3&IM{m^iZSn#s`Kr86XP5I8WnR#qv(~%k2GCL?^ z=-oQN&1bjOgeU0IM7tc5zXd9AL<;ON* z1uvXB<8=V6a0hDj$B3-7yOT0jTB;n}ZVItSP{h99r{7%dntB}*6SM6)NoIAKx*kVT zvk#Y`DQA4Qid&~a2_QJff-YaedMs-@N|BM6u)`@UfZ>8aJ@JO31ox%)V{T9a)Ve!A zLndP)9MOhCY5{D~IILzfKY|l3mi^1g$ft3JJG&K=gjJq zG7GIcu6+a-Ll{qL=G@U+fB4=t{e&$p3j%PoUaZY*Fl}8n&=H5Mm(RchpM~s;5f8qM0RbPv9z=Vf#Ln- z=nl1EO`XP45Zn7T-5}{C0Z@?GQiF&C1%6ld9ezXJh0lB8ezPq52HgULgh>z-k9{l@ zp~PEHp>zQkWZ+bI7!Vf%4TkpD)YZ{Kr?-86kj%qEU4k5`6udW|A+a4h20MAKUHA^9 zz*vN{sph#TC?HJ&_UBt*WGn>m!AaL+hiT61nGRopPZy4H`pZN2gborIcEfkc=kB5c zQ2vaF%Y%?A$;C&h9z2qrkugwR^ZZcej+0HGOPvaCXliO=7D?S-iPOv~hhYcn>@*1B zSKY$QEi=%{Ip!e9*fsS2{rft+N)}XmVbm&Gn(iQlX-s};RD@I%(_gx2C9?!gUFffu zgmjUJ`r!G)N-3fUnYBe1c0zfCPjtu};z^r|D3bs%EA6Wo6Z`h*_Ezs&=CO9xA$F8o zxfE|)QS>L*>xd4AiT+flZmld(X+QauMM_lp)*3@YL)-qcHwUJ%>i8%w7#B(%%X$O_ zxVlU~5c<>KJr|Hs#e%vBduY}qEXD_9U6?v*o)wcuHXf7}G!!xy7RwEhTw+M=UV|!$ z1ook$9Q*Wg4{Fj`oHk@;FsUBV{^93c*bsU|2TCSJC>GaH2!u`e8}y$vQFxud9t_B96%JKa+&NpCupMUTayfV0d@FO)WYB+nidg;aYddNV*0Pq z{0tkI+GIirBT!Pp<=t}K9k@+(egIH)z}q%euRvFYU0KHu!TJA7OFdfb5q=KMx6GNl zYs#!(MEj~#ZJA%wUlE;YS8Ng{@(JIDJ5u%xKdYrg1BpFC1~<%_BxU2)+??Ccrx|E! z_TMF82E?HS+W>3Oe&S7=o1af^vnALGN=jX0X~wfhEDrNnId5}FZF0C@rbl9=3hDVV zn?Be44RWy<+BbdFZ8#cpTA#gU!=2`sJ%LgE_e0?p_g#Rx9K4MW4&|!0d;LWQH@~a1$B9k#N?RBJH zc}yU^S?j*P^7d^R`daDZ zRxCTEh%In1I4CGewz;uU0kqzb&oAS&uhsOgWoRi-Z|rcYyKB-pW9-P%@3tX&27^P7 zGc$Q|6MCl@mR_Vwb!#a`-n*yVG$*lImG1J4*Y3OmCCfG*uSvPz_g{w|y&GCNx9Qof zU#Dj|El=HDY=$O1B)7W%bWq}Fhpd!ZnU#&*w)vyFEnH!`YyKO$d@rW1oD^+OJRT-R zJ$d=A`d#P4YQXX7nT;QoeBk2R(M-7XddjTFP%!SXbz@pR=2(S88p8@<5)t-Et2;qi zMPe21-zT;|_&2k<=WA2}A>zG5hgu*oGYGzjpn-_b;dc#%sM!qk4&*H)QwCsu0jOH+ z0SqJkPaVMo@%uTwCg%`LVm2-eBpcf`av3iv_t|`cU1C~e@mSoTyYo^ zZz?P!uft{nNM!UZp!LLYSTqFM5N9xfNn^GyO)qB>ni9A9Uqw0+>lCnze=K!0iZb!^ zELY$}oOUwOvf>W$yC;c1D3=!&5^{a>3w>yZ65#>@F`@OQ9PP@nXA4@SDcfP?6A&(0 z!Fu@&y#Wjf$TrIkX%1NBGb`*B`5qEEbMZmRla-#}@}lnjTR}vpo!Nk2K_crNkkW;q zyxiO`u}M68+}xJg-`DkKwTM5}UQv9#2Odn_Ae;#=UG)_WaMm4$$c61X4sO*>>fbFT zEegK!K7W6UE%R}6H!-yghgkHBj2Hh!-E~jS>`uGK1k2rJjh2q?(i@om=EJm>O(#8$pnGrr2R>4*)?lcW66JBW z&ehrG^V%0#ndajS#vI-WZ_f5L;@SPH=l(kWkh4?1jZM5%?gd~fES8iDl_e#TGk@@E z3Y!84v|&9|@lr!WV-nou-A}+84yrx$sjaDT8R>jD;EZnL2^!EXd1rP{HZ`4?KmU+Q z(bpS^qdc3%GbvMWcssBLJx$Uta(e&p&thfm;2^S{B(?c}V$pPl%JoUtm1x%6bU`Ln zo24WuR+O^uQ@(oh;EcdWN@g3e=bL1w-!XJA8l5?Kjkzm&;fHYcp^xich#9gl>}9(( zk)6G}*b{BK9WCl+z9xn@_eLFA=mp!p-O7IbN*KgV9N@FiGuDXmAXM3`ud3*bb*wo zBWzWBtP?X;LUSADuZHI%U%m+1d_2RB*}fC_zMya2d~Lf8L?p%Lg<>CWr21!E@sT=k z;8eRT<$-n&z%Q?|OW(vdIC8dl5j)@wLATZD4$*@=l4^;1$W~vU>rxXb4fK=u!H`*t^o@3Wv^4be01X*1 zU8%s{$#t@+smTQo^ZenkpkcVMho}GEQAP20HS`3Ym7jr#k2iZ|%)i;UHQthHD>PZy zULRpEMZkE9$ZdJ+9wYdSz<-8fNyo?(g6(%<7?c)Cw5EtD;gbSK9u|=awi%N4^hC1z zARH<7%69sR{#Rlz0XJZ`qPn>3fi!aE>E1$WiUUXkkRCoDS!UF3Zr`ZS=cvpNoZJVUiQ&4ME1w!?!>3& zc%Zvr7o!Qy@BUjd1ts%ZEj|=>S3ahn5+S24DgB|i@w0gC@Ay#?bTD%;PE+;A!oq?l zU$A&L`(cp{(`hpo_xsTQyLXV+lvzlkSKWF<@Nz^-qC+}o`}@t5{46eajg+3ia-Yih z_x{YfdD`YRLQ)u191|CVx--#|YbT18{iWnZ9Kv%~7L|0AjI zx>*IP(YGZGt$ju&w$MC?Sk-yzDW~SJmibw`^AyK;n&1wu<#CqJ*PVo~x1U$_y}R>` z^4@K9JzU$OBQ%9~eEkAsPcP>*#1#GUxNW!Z-pz-S0zt@LfQFV_#89S? z8ppT_FeZYrs>g++=a$L=$(Wd6J#^R zmy23Q3<`HIP8sLv+22k3io>`XV}hrr=gXLfOn6mju`MA_qPoAoKkMLmDS(l?Z2qw` z-cBVlRaag!J$m#LR6!<5F9jfn67O+S|1sWn=D0&>)Hi7=Z;r{r9xcLTBqk-zwaU#1KwgD`umf8`~YTSANYnizfqUNx|kz7WNLvB`-NQrq*+ER^OD--J{W53+s1%#S+|%FcL!z z|4!wdl;v|H7sO3H zxta!fdle@jIPEcf2`WaJ;w<(&j>FT7v4OjAV*Fnk^ki{S5gQI# zOFT5Sm<=di%n>2FvVPMrF5!@{FlFR^ik{%fGKj-LO*UPiEd-ITi{R5p7Lz!Pp-K^w z(~$Piy}Y9bCl5(E`yg$Ky`2yA{tq3F-~fOyT_w5jm3#4Lv_C_Y$rT>G_e;@b z`I)YqE!d(dDUhgx+^!vMnA86c5$rd52#|Qsv!U}c;y$_XzeCX=H4(USvF9vcJBkU9 z3C#Tgpr8MwH<@B6t@HJNAqxBX7>NoENOE@oQjP{j<<8DUbf{5^=`(5 zwa0Jw@whQ=qBww}q0_Ap4-m=-VX_CTTX_M>5X+(Jr&qpf1cL(BPYKM&pxA1gpdgK3 z#FiwP=Vx}`CxVGdT{SVHQB=Ld&s<{243j+$0aN&4CI-s(lgka{2p_P21;l~OHtu{# z-~mu{=(*4@G^538AUd{%Bi=eAm!Q`ava*uquy%g4dN zcAQCTTizJcEwTKVwd;=lWjDdKuF&z7^`*vXh#o=*4T*8Vfc z?|%2pq@S<|4r8LH(7EB+v3%|9oTh}w)G2y81_p*$xvTj)TK*X26upi0_0^tj;QYMZ zsG%WQEl!JTfJ@WUQ^r6LN#=~Qd0YsYLR^$nLhiy29c?j_i5`QcZ?XH$U{) zQdEJ4F1+^Bu6SGz@eYn>plSI?yVbFPz^pw1O!Y>eKr`jKbB?Kw)j8=-=2^ts}xv-imbK&YY5^ke6LKo$?Qk0xA|8XQFTw)aT3_1mTt#Q7J= z&|a4~iJ=NFF7{J)tCFt8k|uLAGXS*AaD^wr{ zkj+DrA}9I}rBB3~Gg5GB@#woOr0u2YMJV1)ObkO<0#uq8LG%)j4T<7|Zift>lap&U zQsR1yN`!75riYvcLm+hcTiLnd zb^p<0ityiY6MJ88nw^_dK(#92e(h+AHw@)W^?W0*>6loYCLO-T57)k^e3?31j|Hh|R_AXYTH+4b`p~zTpTwuRxe?lmL>L15BQOIv zyGHvJV>pGD_kMUMPQ7FmnWvLdIVn!(^ZoGy1~9*b_XeI!TWM~)JV(Zz-b&x2GJIp~ zD`$g)Zu(q9snHEE*X&R+DFGG9+&zRDiK0>JH4Ygk%3E2>v{fgxB%P>uT%O1BM6i3xmlMZ@>1V zJ1?R7%iFR?QSZKj@u?L$56Vx~4BmjqA2kuDS!`<8A+bpiAyV23q zz_v+VF%d%9WY1N@N(nQSV1Ks5xZTRvM|W^V!-yU@b8%}n^j|bYs|2=)*5K^K1J^6# z)o_cFtYUoZ0a#p*_u4Xn0Jq>Z&s8AG4f~#b5$2hAvq=9liR7s-zqxC#I0Z>qBfv$+ zuh~bk3)^@A8N*?#03v32Uj`p?-6`O~6)=UL`3^=?!w>Xav2LZP8AhDWyC>$rIn1s- zOi0jZPN8S!zJaNA$OF{13+kGRm(6;fvStc0Wg88V7wgFCqVAB^7Nf`udU`=%smMsm zt7Ys%S}S*?(_j8{7s=4zTREUIN^gddG6D`>s&<*5jvul%5{){-k4fq-QSCUdlDip4 z1Q8Fo05&F&ocoI4UA62k?cZ6Fz2@i#5vTYuSmyJ`oftcj4T@FnOY`ID)#$>X>v#Z_ z<3Etnig8M$Lseo4{G&2q-gXj#IQsYzTFVpv`wC8y)J~_3BLR92g8S^tc`|zKYaX7-^u%U{ z(Kw~*p4_R=5viMy)f)_@K6ag8+z$d$QXBx%NGSEw;ZGR)f#AOdxptC8F4i^W=9R;P zr|+2&_e^MLj#RCIrKJ!w#c07Mp3Bs`L!>Mf44@2H4sgFuK7YWOs;&tb^kNPR=eTPpZ(ET)-Itnq10Sbf=ku>ziv<*^zi=>8iI%#;S89- z{12_oNeMwpCFZ@WEs=(KW2a)_{2aP|@mn9RHd?Oe8kBS9RX^(93j07(=P1mbas z2j4v;DkX{?Z}PXkZaLi93avNkJ9ClV_I-M~0GAHY`ru5vahr+))nLTe2>}c_cS*z~ zczFT;brs)%wU9jw17XeW&3jysYeW7*R#qcrpROz6kOk5d)OO@g*bWhQSJ!IT30$Be z27utgau|2=j_2M#hF-n9o!+Ss}KCms$Wv&7hyeofaZ-4Jzk3bftuRd3+aTLUqf!;FIa0V5A?$?;EDC}2>+I4R zc|>=HaErO_q{7f}7;i>!Xb_5j|HlwDK}EdQWWt3e)Fi(j$^kY z+Mjc4`%_f>RJUK7%j6n7(=M%4HPaRTpH zy_YI7lGVi7+(L*RArJ#>1XStqkB;z`5|p=N&OXhN@ni*$v^D@b<;muK7ZBs zVGLh>Wti$e$o(MlPJLDl^QHhg8aaORTvw;RZFl?C9r@3|Yxkf!vi!^^)BP0ES0~md z1ZmA3THRDOX_l3uB5X|N*lNQ}&7@#i&(sHjPTq%IhW)DhaSd1Z^lX8j;5Sm3$kmOp zp=w}Y;Fw>tO|ve=wf+jzf;6Y^hQ`-epe@4t9gr$Q+K44bxRQX=AQT>GmR9~v(OM|q zP9aJShlDvk3=(*N9muLR@fOZV61$9Pts46W@g$I>Y`DW~aHTYOb8p&Cc1 zMn4VOrJ~Ht(@&(eS;GxFND2#p5T?0&CMF*i!;&Z=>Kmb2lDGNj5=58b_&kA?GGVJPBN6AcXC;2bEvsd#ik{=ROgFnBk}6jOXYpck~|nk#@m^& zERjaZ8nK73OS#37%X0jYOslCX zPYmUS!!58k$JQ3z9E4r~e*z8)TB4_Qt+HZtcqIC%?mqL8<0fIVh%;#2wMXtD6UJfX ze&!2D`Vwqb<%lY&6mY_S`s$krk>gbm-lN zxD{C=E+ZD5w+-q3j9?nugubMqA~ZON zW+vvyZGaavI_<6mo-8sw;Q!K%@duJrC&+xpzHYXvTK5ci6R~=?aymL_4liW42IGT& zUS7Tp;>PF;@fj_xT^VCaw^I=ve1fKIdd>lwPb6RvO)_XTdv|S&(i0z^utTAGZ5Ky#-hmNt_15tbnY#>!T!{O$ZLd9=SWX-o!ywpYO2!1-- zo$J11#oWVF^ec!Es=~aD9liid(EA6=ELZXN>};U4LF^w3uQUbzioDR7=6=NR?}~8$ z?M(Z2?;Z*B!Op1+Ap_Jbc>jQU*K%oa{?k5EFfIa2^nE=@JIA6=|Dl0inAOQHc{kL2 z1pFNRLA|c->QeO#n8fT7{z4k`v>@_Qbz`;*yUKGv?+_72cGeSzzCc-Ol z=gMFQX8Y}*o|U`cr@bSta2^5z-|!K$lrB5+xq&j&j1#BzYb~_3un>ga_ikjQAE*rA zy51~GXgMG1L)rr2U$n(F{PBHm~M zw_vNj;Pdlro(T6VyA+j8&)7ONu6A+Yiw)6j!zw|13;5scn979RXcSHvVfwMtPd*6x z7{eZAYH3M}S<~cOX}{)vOj7pUxg^I4oN0(Wu5~`5d;Ua$vy5ee~soe zX_M3#kE;fQ1zeM&4AdMex$LR2xh`xOF z>K0cVmLv~#>naby9=j6W4Yy-(a*GRK=8xtNrc5f(3-Nofm*y{iS&oq7>&u9LH%2v-AY@BpdH3*ri#;~zT1&kaw4gu+_KY0H`Y+VRDbt@b%AlrBT zy6N`+=h2S$m%8`b@43{=$MgOMDO6*UWzDvSil)*4`V)7*r!YsTx({ijf`pIs_cXeh zhpH}JT`$IU&^jjP;mK0lPtZ`wd=F~e83>3c(4E?40L6goG3LD8I1+0o*Ve?q%mWTk z;8%u37|!ooXe<>#=tx=KH#vL5%ImLm@>twob;Xo_#)fi>;-n}CB7gqZGOeJq3HK3k z&HyZFPClHlu&?4MS7*Ny8d9(hg~DwGm!aDTWPO4iA}x@_!wE^^F1GiQ+C4wt{w#e_ zsbRgbKP*zQN6e<>NGgy5z3ocC!nfu?81dc!C1{+%kw^Gz5al;v)Un+HQ4D!xky@3R zG*{i#wHcERP~ex zuuyChcU?4x08vH229pBaB4mTavxQPO>%3nONd_t%t#a9iPfB=HL`BDH>h0jm_gJ4I z{2okR1#L=#F3}J1(6YIh^V441QE7Xy+mBDBD(#?u-q$twsp**WN7=dE#vx}m0rFIG z@v@fsD`CUiJ)|VHy6OG3pQcm$rVE;QdA(&RDV#cMrBl0p8dxumyqIO5HlXl#M)&UAR-uQwz1z58`2toSYtFsA*RA`DYuC}Xhld``nloERN$>( ztzEk81jUA57aG~a$YEFew}F9yi0nXW_+1_Hq{rXA7Vsj`VFI3xJjJN9NhO!^M!RSi z)I`ty@m@zsh6<4$sSc1!t^TcR^zEBcI6_Tc*Y3U!I5X!Rr`y z3>M`O+6RNARf`|VMTg{g`yhBi;g+Irv)}x_mtRFY44vZkB{~}jodY~R;SzD58EWBT zrO1!8z&}!z6vRGD?je!2OXZ2u?WF9NyjVOD8Ma7_d0N+hy;+#L-PSLj+Z&ngqBf&% zBO^02GtVWQbOG;?_;O-BV_4h}F2T5k0gUPCed1oxSTOWvp)Q;HM$~7m+J$PH$ z6ol0nyi(QjjHebi6Y{x{g-|atlLK@{)4}`V15-3dsymNvzZnsB+pM}}H) z3dQ@7g_Ca7_Da=}8lyt9n>ziB-+Yr__G#bfUH<~i!E8)5d}iVM{{D}0=Rfv&w98+_ zM@DgZ^cRSo1~*6#Oqea>GYSzkG93(xdTzlbjgM!7QqLzy@AYDPf9GEj#!kHkpSwfAj}ihxWSsokOPeH z7IpBLD~aRNFSwzsCgAM6k#8#_LaG%5@yl`=A1$bNf}H-D<3P7S*uPktZ?oror#To` z=dE<@Cx2P5{ygsDQlPRb@NKQPV*Ytn_OI1JgI)#J&6_#~DYl$qZ>HVUETMk7I9Jd} zVvpA9i}aZLwgx{mesDdxAj!U0_ulFAI<8v|(NL=B+*P6Mqqi!rJeuJqdv&a}nXl^E z%$@OtxI5zSUX3R&B!55L_U9!c|Ft6DhNJc{EKfj_P;`Vt-sRW!?P6AhZCqvE+2EA8lp)&?=SkA>Cp1_XLenTc(_3{G!g1;swC-u=k1xq4X z_&E!M0b1K^55YF4An1+D3#I>l2lxXZR24)7hUrdtW{LJxcIGxyz7zMNQ$;yZc?FIBkrO zpvtGvanE8Y;pj#Z@~SXjigAp)t2{QXKk<8kA!?I4RDW4J*0WU@HM?Wzxr2#*6d$tc zD4+orR8{Sct<1f7=gytszM3EP3-Zu{fcSKnzdr48g1B9yM|V{Nb`&fW+v|TNKUB!X z6a`c^r7p*u2SnXaKKPGn=>;Agz#PrplnJr^7R=Tg()5Klb6Kwg#GzsER5Y{{AmQQ~ z)Wc$STguPxQwx%SouRmGZxF_fX>X;(UP-e2k%0!bjU?G{e9-97M6!X^m$1#z=f!BI zI0=VlBQB*|AhETG<*bIReNaR{qI0Wb^$vb6- z7(2AkL7flo-HW|ESZsbM;c_@FR|VxNr>*V2U$e6Zid;1gdjyQ<#0x zT0`dy0G}6qZCJ>j$lt}2hG7}^5M&CppsR2_Y{8nH`ROY54WP)b;C|(Q4Z7WXaGV;nwDXWAcD>Xa&#Hsxm+mjk%rv(1|85TR4_a@@+ zz_Y&(eU`Y6{Fy#j9JQaY$xscFFWaW%+RiU+8xEezTK0-4doVdwP*Bir@uzUVyU(%d zl2SF6FS4f@#ABLHT=IyOZFoR6Z!~gwi&vL>Dr_2;V5(tAyg)+bK?}q2N+J-(lf78* z&MP1xWOmT4jlj5gAQ57-`M~wY!A0r1pv;Z35ndwHA?gP-l!OF+*@^vw@Ygvd)z-vN)INO& z^eVgbX=X9tIF!*!Ou#x*SVE!O)S+WD)rm7ohhRP}J)H)zZXi{Ww6kM)c$gw$bQTNI zd**2EOeMJc`YwSGA>xqBbKBhmw(#(1e6oI9kIij@su;taa8jZuW=>aVm_t7$h?&zF zbDq`HGxUzw8IBa8j(>&FuNGJ4nXr_@Ybf_% z#U%DI)cVMtX)a; zkfUe{-!7(k8^VpaSI{;7Kgwj(80IXK6uSCcdX~J^4w%)f3+3^{QqPW%&r~;#f%=d< zAwj`dV+}%ZbIN-Zbo`m_J&a_kw6?y&1V27&27S7H0{ncY3=TfUZSVLmvvPJH8hF^! z(t+smsHj8$$9_?VL7$N51d40)ov{AXuzUprmnIHXMzzAaTXj(Z$nt9UX@Cd#q`_*C z8)KYC-!Jga6WkB@9yE^ExNElfI8?m)*=>~CsMog=y*+#}9YJu1ULuAIDW3|qXTRSo zR!pm8sdxPigFQ{~@M*DYi#EKnm)C(ux|x5Xzh9Njga5_u)#tL%78PG>3=(iyYpUdJ z<4&%BaCN`HNn`(WK8NSBAJW%tRjYGzMgX=ku2Vy`po*O@<@6KM z+YBn_to_kdXX^db5_hT}tw^Bi*BrRq~Sxe-}~G(O+e59!yEp8Li$49v^U7(kbO53 zsI=gxPoH*J!`({6%~0oB-g_BJBALsvWz6p^-sU`p zz+a!q)@&fzSiWeRW1IX!m>|6~_*23AQ`lB(aRBiTs9yzAhRGf3Ht9s<{^D&QVIuH0 zI^O*%5(JgG07fiePXS0VMO^}E2Zbny+An!oIaYvJgy|iF*wzPyo!4+Qx7mqL1JN1> z2QD!4F%1o^Ot;|fM*P)AY4v7>+uzm7EAQOd;JBe^m$tgPKU^)2gkWFqU=2E%p|t_F25%q2D^AN>3ou z8H>RI1m~@A+0z3vpr!bWrBY(~3!{3_+D2c<0(r zhH@L&NVbBcJ4g%dZ2(i$X0JYO!AS8YVq_`WMg&|dkZs$9D_ z6V5_0C~rG*4GwxQe|6%>RMpH6>?Y39>+f;`4< zotLL4L%%u`o<2noZtu5tYdhV4R+--kEk`5E0SZ;kDOgRnLnV<-pYd2cSLJMn(uBlW z7Z;Z*ta^Eu3^BE^BJrmD?27An&tIeGdjHn7U3-4j zic?E?ixA|Qq^gu?!0~hWkqd)6wuan<*d$Ib(@E`kB4lj|MwZl>p&)u2Y`A!~AhP%P zdjA~R5kT!3@v+#l0L`kw_dkm%B@OQ#l153NJGg%$Vk8a$#9T&kSb^gK!h0OwAz`E- zXBx~-=MfZSqaaopC=fV(cB07;s55!J_vU;^m%6k5^usyVn_}?THpfe@hr63t4^T83 zNW^z%b|Wdz3?wF?_R@Y=^dG?z9*obQG=GAm3OME7tx)A8U@w=*)P85KTl%KHdz@+- zW!nN8nQvCPuM2(rVpzI0JsgQ$H%sXg8t*&af$WNr_rg}6#f|81EkM>eh^Dt)U1wds zgDo4z68*c)_n-OYqfs?}d1>&7n>9uWscCD&K^%aW?pb(nFg=c??z18#+MUy?pxHRJ> z)Keb*fyxZiV?Z}^y=y>V3>amC6l0*rvwP&3AiqEJc^4xd3t*yi}4!7tL%KL zDSU9bsMHAw6Oa|(ICyov&Upj3kMETZ@l*MU6!&ox(hwJZmS}^5rKwZ+J6ej`LyN0c z_z?6CLXg?I-Ep&1&WXawYUT!M7W69pxPV^gUvYWwHM6sSBd( z7HTv6DW5NzY&g%~hX*&=fAvC`D*a<#{IAkHq`o{JRaFtozATH_u-As}+DprjZk8&J{(^KW&x+GDuxM<2jMO%k1mnHl!=Q_zHA z!Eb(ebSvJ*=r7NU%gX8@U?sCXa`{pbbw;9-2w2apUGK!7e&a{^e=7t)XJ9=A!z7{< z?%++%1;e934w6(#dnI*=fgY|rxTqlt55&BRWWx;zUrlZOf?25J&)y5K2fvg+YlN+U z(0l|~M;4%iT#+Sg4OFW~#p((Y5_ph=6^^I?L%q`LxRk3Fz-s z*Ky;N*~NP8?!x-+N00a)%K&H|!IRph-EPeQ(t&Egbb|?gnrQzm?aVZ;vnY$gFIH7& zuvE5b>=&4Q(tcL$1=A-vRRW>H+{D4b_$C2?g&~kZ6mMILVPR$Bn?q?shDA_*aq&SM zN}B!Oh+j!@j+v}{D4gSbwcj##`zLix&GZ>{tsm7vNj$O#AQo1Ru8RxYMbBcd8&kD( z@a;GVS1LI;Ho%Rt3Z{u~mU&~=S7d2bzpwNuU}`?BWF;QxvqeoZ+bqSK8h2#m(zh)% zw6xq$ltZXxybsGRR8ZcRNRD2PyduvQB2;ar@GU4Q8jolMU^ficw^etjac!k|wc~C> zDrbaBF0-n#GT{pYl(z;gNK`Dx6g@e#(@i0ftGm?P$thpwWAPLfK;LVemW=Qa;sM?K zG82%br@s3S{BS&2?U^UHs=EoMT)4_QzTUN)M|hfvkx@}c=WbQGEh9!PF}Zw$cUFfi z*>jW2&X53>)M-Y!Pu_p$>LC!M2MA~N^VL5Ftf8>GbKd9XyIy|gU}>&iz4<8ZYQJ{& zy)YS8sc&!HVjNW&8?I#U2~}Qcj|o0>D)+3pOM>b|dwZ;pf!<>UJ$0cU5A;S9R5s5y znsH4(%&2U$=P{Br3K`|4pDifvKdjBf8PD0q&y@~tHF>#P0U?>FvgxbyT*^Igq>zT8MvIx|&(Op=m} z)y2x&AV%9Yi^01-VhC%lM(9wGnXsT>NYU5y0O=sgQ}h)=1uWu9!AaWyW6-ed-p)`} z#M67=n#OauB;m7RIW{8@e*3l}hDS@P7$ggV(+QZB(&Z}gOs+?|NVrrY*tqt|%c>F6 zSVV4{1Uue=+LD|l*m6iwAKd(xW%=%}hgSUY_f=d`-Yb)tsXe2fCa3Z-MH<$!Y*B)` zGpqP1WF9Emv#NXu`@?@sW$+N&T=w{aS^|;idrJlBhnk)8YdOE0SqhT&sVlMUJ1KaI z5+6L+X(uPxM8fQ#Ey%FkyK9#M@C$V#Avbb<;N=L%P%&{?*1yvrvr}j9=WlQDF?6qD zcgw6;-ug%mvD{4?@C_+oO zO&-Sp1{^wdR0-#}`ZA@MhlfXd)-&`~+Uer*#biad%0IxL0U^>lXbus%+4)8K&BDuc zcMH?r2nXNR#>PjZFF#ACo_^x;V^9WnnNo377I`TabW zKOs#{c*T)Zj81Z!Ge?x-7<8qoRo#I;&>_O%LwskL>VSU6y-pa4IMzMSyZg{oR!~zaYVMvFc5cZM<7q(+lp^yM4gT1JAB*) zh=4@d98!5sOT^csIt)AdaSZOnzx^$g=rY#|Uu~PZu{rc~A;+|&os#UVZLl_-&E~-o zXIY{D)dJ}L%2wh_rr{3_ECUcA(K(MRW3HNhtNsW5P8$glP-T4HX`oaq^3|&hh~%io z-vg@`ES&R5_T8NneUf`^NmeJPi!d3hMs{>VYi)?`54dqWcPT?AGWVx!Qof-k2aX}) zBfYj)V|@(Ne$`f8Y&>MThKHVtBl?kfeH6={sf+Jgy7s4_^ywA=Y0`%Ua0Ism<}X}c zM1~6KkCHF+pg|xW(x&R_>vie3RXoAjc0fAfEk@-Dub9PlH7|T>(9;l#9Pxul&cGjl zM=d`;AKJ#_Xjo@9FsX3QyW5)5>jpNnhq3d)<`!%A$q@e%4Kcc5j2ASPXcJEBTk`mP zbBk!q9m|eF)7sNSbAo$5jwxKwjon@jse$PZJ-8MD){^-Ie>Q!}RfmF7bDJEp7~lY% z!x!)tB4plr2HxzF$8B}un{TP6?Sg8Vjs8^ zF3IQ{p92trDZzWTnm+47Zf{{zjP`nUZ6(?Ew15djv!Dp%ei-!-2V znI{#^&CPal9C#gxTpz0#WxE`0ZSq@8-S`=G5a|gXrZ;LkoyM9CUz@^I(7l6bYAE^x z0f7qNI@o~EC}zWdCvntIJM%5@;_y0pU7uDqa_F!4zUj~VkqDKPHxrk5%@^rQD3((H zZnN&KyTu<$fg=&U{r%gqltI3xCo`o!vQ^g&T4JH3@y3HEo-AOmz0A8b zKc9Vf5J<7qiw$xdNMgUXm90@IMq`yVLj>I4l`?xW4#Wt8?rr1m?XuLfh%5uX=^J@~~*jP8jNJ515lT0iZ> zkMEWo`ZK!wO=)uNk45?3CQHtdQGaK}{^5E`zJedMOR;=|+=2ZP0g0mpqt{ph$`Y$% zR~tq0-p_O?CQR-qYkJ0gd1ff7Kd(f9zIcgc33a z!`M7TS%v`HV#^2?R=b6J4L34T8<09HqO?+1XCRCvA|lOTtwC>Kx~V-ra!HeGlS23I z-;eX@+ElWUN+&pT1LR5M6^2&gZc>ugp=J3tQY%4Xy#dwia#MbC#!yrEH2q;x=D{b3 zXNg0aL(8AJ@H(vAf?_KWU4p0xk4?x`8cn)7B-WVQIe8hb()8Lt1*BvJbzjHo=b`zQ z5c~;+lSFx<3@jrI|F9^O^@+X|kJDt0f9*IRl{P~fP#4#Lilwhzz|Q26oN1m%F!h-s z$5QX0?_|o1{!~&}SPh-TL-M%!U$72rEbhWQbUVnM z-79Y|vt8*Oj15E63f~YWDCAP`;a;Pyx%m!{A2_21UwNH#(HFS?*x@(tSY6)J*DEJd z;wrGEht8{{@5OK|sBTc=^s&EzvQ>DuWsh>V#c`<`cp0_UoPWq*h@hgTw%r=J!h44u zg$4O{<%6Jw#80tYx;p)v+}8?%ai2MDv)kh0i}hLS4_uUYHwr~`ODtc7!O|oNo^#dQ z!E)w5uOEe|;j@NxW%8#R=M|bbL!{!<3Aq2oLrio2q@K8E_l8Tq>K9=B|dmmPScv+MXZQ<-Z{GJ)TB z$;`SutG>OZf22EhsF!V{U!(EE>RI>jjeV~fj(FzNmcAa`SXQ@KmwM#7OW8Ry-P0Ta zzDGivM;Ijv$`pLOd=_gUvcrSySopmmG+aVpD(TM7$)C2Bzen71EGh5?k`xf6eSvP~zCME#+Ovp?Kr}`w7;qbejpJB`vs?*_8*%vsXb}e*wtFVh zQuy>+favq<*bCOSW*VNPOt)+8<{irdSn@6%8TAiG*su3hbv0&zLLXT zO??yP<8cMqaJ=2X&3DQ+7!5G%5C^INxKPXFQ^8@-)+DF}`FNqF^hW&lyvGSZiW@6? zZx4{?oek#)!RL2e!f_N^>I;^7$a_I+N5!_44vXnB3%S#8#$+Pc53G@h93mm0ro@S2 z5Uj@pGB6!xGPz1_K!FFJCs(6u^)Y znwwK5D7qnK}PO84dGvKylyQVBI_mJxhy3^NtUf~PUtO2>kB%D?ifGDy7Q5wP#CV$a zh^fKm70J1jo?@xx6w`9GRGCAM*)IHXzY#VX`JjMjlE+%nc)M0qj{Fo|)H&^Ali%%K zPK(TzoZKnhun7R+A%m?kyiPZ4e>kKavvQ?12|IFUKxK1?&Bt|HK26=aOQ~f`B`GGo z`zvQ>9}oE_uiKvQc$LDmU-jW}cUz&v`_~i|z~2a#@Oc(q(OOwsSX~vH&g0L@K5dTB z9>kD5QK5=~0tLt%5!e#=)xWLeP3*0ep9~3u-Mr~Ba8!Y@3A9?-vZC}%v{|!5x#!o>2$NO*H*9%@d45p4$ z5n3ggUO7NuDFXgLIMf(AMeJlaJI^d|wmGs+5v zL)LOZ2ZSCUux#3dWO)j^5^fknt&)QAes3y}-@6S7!A0#2R*`!vWAh;1kFiQiMxwu^ zxs=_91`Dd^@L!+u($dm;JcIB$dfs}|hRAIkLX7&XjjZ6lp@d%NkZ}L_MQGjy4{Gka z@Hz~55-}|j!H0VII!)u_NGO+*(z{gW@^)MR1;Q`->@gA;To$2XwK;x5Yg#A>5^oY- z32kuZj203fBtOxv)7SfT7h>U0;_1izsIMa zuyS$PE*ToXxGeVMio?3(@x5bZU=RS&)ADIBjjO%&()d2==kbNgo}Gql!abJtoXO+W zu8AoTup?c(q zm`g4V9mqA`bw#_IW-|G< zWL`F3xL_#7e|BPEsJ@m#DPB@xaP@q#`0W8T&b;mU zq_utAKY4G^`LAB=snR&P@$dSV+QCI~yBg$PZK1styvT6lE8{&o3H@t(XgA9;PxJC= z#k8F+zjgTDlai3I@_@vm6UwE|0g|f&3Qn~LD+cz=O+~hP>|fe_{p7n^xx#Zg8QtKY zb$uM|$CTgBC&^u*mMcr5t9L!sFER^L#}4=a@nMq$Ux<@bem(@c91f6ZMK(%{ z+-FQY>c-xYaFQxAL%~Ta&cE_|KHLPj>uzEb0R=>|J@KMSI1O^*%X!qMd}%kU=L26x zNM!FRlY|L~e!3>EiB|uo=%#1okl*Mx&f+Us)YZ78uX%YL?ds1Zy-);^0E|lqysjE* zG#c$2@!N53L%*nm{w!b<;ed9DxgB^)9fquM%$6EfB@ly{;ol*00v9yvfXQ0?*0ml_ zKpncA8SolI-eQJVfMU@>O3ZjSC`BB!|BZ5~0+K{*_((J+F}R49Qiihu5;v`waEmyr zEoHm>aP}hvoW?;5f&dF^>rp7< zNumU{v|xb0urt4SzA!sm1@>>~_y1 zJ)_)}^b18vni7`}WV0MLKaeDGI&zt(y?Fbry#RC9N&N#=>FVl=bg26q(@ug3A0m-H zsA&p;pq{61iah7wIvzcHc4qMxP!mGiBZ|#uzmSm1#hhu*pGfjv&vq|_*ii9tsIr(O zj}sUOiLG3K5K9^^bxmHj>XWm08;8zF9J}isDzJC}k|7&E&}y3a=fD9Z?Acg)riHfwuQAwjDV#WY=;`+)7qfb_9|HNtqtp z3JG>Gn4rnXqIZ~H0gn%@?@{oN5N`D%*pR>(pR6sZd)vg9EH7Vz%L3tkVLJNd zoJ4pIorr8^fyYvxHF4&K_E0RE=Ypmec(N&Hn;Lnd6y~!qGn#=xEvfUy!l8)Vth=N`TA!Ch}fB%R>sX@8Owl^_jKjy`nuK}k0F`Cy}5-R{}{ zkE!>L=lbpY#wk%qMIo~g+Ol_%Y-N;`ky&PTlq7_dt$|cRB4mZEkdRGTkrhQoMpjCG z&*OVv*ZsTC>-^)q9_RU0KA-pdI9{*kjI-Q)Jx6yRo&p^EX4np+=|x>_!9{mHGI6 zo$;F@d6)^~pQs&sG8cWVH}m(AHBzh{5bhLiy*PPJ8-!s-%xxC{< zE2ciW7=5^Qi|$;wl8?ZscTb z>_~0vXyV*2O>O?W>GWTh!%Uxpd=wUkE+n|6Z7HEPiP$@pkS6H6Z<^utK5y| zK9KjUtYXTFm-oGpw-EVk%CPVO$8W2R2pbdy(eJ?}|9&cwR<Bg_nz*1|)b7WE?3%bZb&D1u+D~oaB4J za-@tq&+f$VXEu_UudIrLqibAH>G*Zn@8{QU^{tiDhppc}Cr#tXIZh$VPcuE-%9Ejm zlkV^GaJXBN1Qb-2HR;8`0Er=#&`h7b04_v>bqmMRDbbzu6m8Wx-Clw0?yhQ| z5%aH9#f(^`8R%c`_CGq|<|bNpINe`)5OQbixtvfbccZVx`)PX%(lT;xtX@M3u!)P8 zD&^j2C_hnEm!9=@pR`)u)VyeSC~J4iW(iuP$W)OeCn$r1Z(N`UE(pzQEkv7$iPOn4 zks}fk^mYMVgDi^|NA!{ZDa!Sul0R^}Y~4yI`YI1PK~{s|3-(%5bRnU5^R~5I?7jhn zSsww)33!wmC~RWarC2GP^`g>ES>RppUZq*277&S~Z!<5+DT04{2Bqv~unnw}YdaM`@D2XjV`h)G$4vYJ14u9%61ogO*q0G8gHdk?cR`D4@~=g*y{+@>Hbq@6mO(zJ zpE)O!NUnsmCXqQ|hNXQ{RZ~L}UBEBlQE^*;IhC@mryf(=2Hi6Ux(7I=T;7irWyabe zP@lkxS*4g!<*?Eobz8zv|)gp87A&emEaZg5FeA(wg5UG z?q1&UWRdq+$WU%%A#Oy<72)$LJ6E6tXB#PJ!kcV+{~SqsB71>dzykjc`|pDg$Qk~X zZ}}zKc>2)8ySbybC2|@6<(KpDXg;Zk+T8xhT!MHAJfDD>K0VsZ*gY^K>nP0EO)7(& z@Oxn3g9(-gfqqays$iVs3pxQ^;cmp9;bDb%yBbhIFxWV4mzalUSHbKMPX*h957Gi} zm%q}rr=Q(|>hhFnbkG>&x-MaqVrgf&n$ws-6jBIG+vff=7xiG&m=UH#B*pvv}QYIVTI3|Yh^lzPS(Ht^dt3?7OKEuUUb-! zK|iHqe|;AX3+~ORpFW7kATb-9yxni*kvF5TX7$|sc2ZY+PvGd)Iy>rPM=u(d6qxPw zwqI2(YQ~h-RDbg{4FYcQeKholS>``I>eK(Br~wTpw0x&OPzFjx_-o}n%)jz=dO94s zOp>BN46pEnIOFc%y<`fubp|5I^G0+O#{l8vkA8~_^fjczRY-BOFk0^I=8t*xQWU^y{l#RSg0_ayWhHlYV+j0!{n58_|=vlynK^WQybV8#3d2$-;Iu z(f{thgp;)F9lAxH6vw^g21hTi#&vEbs>EX&-s_I!rlcOiRajXk`C&v@Gkzh?RIZ~U zi7POazUm9Ne8qz|hiCqzNiBby(LB&2#O&zvWzBK)=LJ@&BOD7~=3AB|Cv$LVg8rq! z%ZR2;GA%&&P7?7*7U0`IKV=Bvj1v?Yr#DgacVFg@0HD$XA0{vY-n6ab!osIk@snHP zvQg+9^QvJ*9YvAiQhV9Bc94MYS|Ni8g&)&paYILUlBz{|tZzQ42A>fCzY?}0Fy*8| z5JW#>DyR|$#`2zp9>Adv2yt%-^dzCeowxx=2^khCpeo=+)aq&bVOs^Jz7ec{yILZi zd?QkbV;n*%&26{mL7Pa`@@rkE9;$rC61!UWnlfPd@m%OQOF1S{`ygJguCC54dJ(bV zcLFmzFM6G(L5X`MglL1`zXxJnA-bIQP0&KX@NZWZA6|9&$#z@YENJYNn>QRcy#MYM zJowL+Ftvy3C^El$jl@1=MRE(K-+6twWDE+1+?dh{vH;?tBC;|}TBrkpF6PeoV65TI z^Tk{0vM<8{k0DCCCThqPp94Z^2gVBjk9>~AdqFUz)bK)Ea4XDcsji4W%=^Z;{t+wj zIKIBoZK(s5BzTi;*+*4Z0R?|tM41Vgw;EuTsq4`=S(iGnGcXQzAXPSQ`ag2%!>s6T ziw=ron|@z!Yg0OWm5ab5yZe(jbIV^Bv}SQJu6TV=U24oS%SN3iV8cWLtF)USW=B*B zp4{1wuj}4b8}*V0`CT{xi6QG)X|05(b3N_R<)hJ;5`lC#( zGR>;xzY#2CT|$6t#PIm#g3+%TD>~=kq#w@G+Uskk`X)L$dZg&VhxZ0DFYueN$JA7>M`7nWgdKRBG=*uD4_)_%#+O%_|5po;IpD`&`;+qN zwJ^MjTRFr#sg&exVjkMq?3an3 z@-+76{JqXkz53vG=TQ#-iI4tH#@DvWPlQ=~XufN3-;?I*x0)!y$f*S#YOy`9i9)|L zOl7HcamJQEbh|k%Ls)_553w>i!=y`xc3^j|0$@Sb7f=wv^)iTl<_1DR5LRf`cFp~I z`W~Wx!8&DF!Z3{yt;3$oe7H|ZbXo$27&m$Q_Eeor?l*FogOXgdML*NLI-W6{TDO+P zNfNQ=+hurplX|X6fbw>W{se6@veL})Pk=wUrT7e=GB{^)V>_YYI*wuluNt@$;bN2P z*JZ6J#ZZ|}%wCvE2%qD`L4(%^0+g>HVxyv|yy0Go5w@a5;~qVfE7%n9zd!^jrgESP zynFTp9Gb-VZl`-U%y_a(UyzIaj&*Qbl{Ec(1G@Y^t`1_v0w@!J&Fwb7|FT4PQ?#Pi z)R|0ub_d&ZyY!5*9O?H|&^{xvav9|$UJa{Nc;Em0_R4h1lT zrnrjg>J3)c|q1t>PmtQPoH<_nQ2wsl?xYLy5r zq6eb*G3;+v&f;G*8+LF4s-lBo9*_nl9&jnx+}GC^IvMDmva`orLBaR)E}o+xq*2(A3XqCp5uGVb7O#ghPM;5MNjaMJ9vP0B9{bOpckF-XjaZYwkyaq$xd ztm=Cs|7`s}0h>vB=3OIWf&vPMRcSQ66bP>Qw}|a3!}%&{Y(k0LDH)m9ZlX^NJt-s_ z)N_9SbZ9)KQOQzwHhZMTeX`VtWy{O=?y+9Q6X$X}x!hPu8k9@e@hw^9?kn8-r_KKQ zZeL#YBVrX#c`pCUA@2X8Uv3NnU_;Rbq#O@SMwSa-*;pLGTcUj%lGWm(A%nL`= zwfwAU`POBR{>raPazq}hBu7VZ|B5%NdH4OOndAZ)c`&b1ErDGS$cW~4m=l5CpKiut_ z9nIl{E%$j@<*vOxw;6$5OppG{V5WA6)#Q(nRE=7v*VPLhP@VleK4CmkImM+Z6x(4f`Z@&1>(;(E9ap?gvpf)=THAl+*Qq4o$M=NLG*A+MqFGXOlkL~(DixQ*L5oegk6DfW^e4b;PeFY+P)X1KmO1H zJA14>;_?fo~*S>!;3>G&^qH}FK9?_w}!DCDn z=*w;0dhWUIUR9G5<3SEvj*By!$pn86gA5R%dSf2XL$>I~yMM2dDaZf=$^a?KhKhMl zmF~=&Pt@uQcH2puJ9my8uX}mp@=xr&a-7t z?ZFcM{hb9_*3FwjJGKb?K5o_OCdhK6nOytbsl{e9ruK0N&oN zfRu44&vr4xe0J zH`aSblP73cl7w8G*I^^SHtNjwd7e7-kj}sjh5#mTWF#^$*{jKK%=QlQ>6J{AC^Wx6 z5(=S)CpMwYgTBj&%xd2n>g!3!%d-yKrdLC_enQ7dc|HHPX!_A&sISZrj=;PmgjHw$ zm=fasJ2Ib$*)bE+dPVx$yx^({bf|#b%@;R}Z5hIuJowEtXr;g>?|!Kp=vO@}x%_K=5w(##3CI$q{g+a{cXw z28H)&p7fGew+|SddUq;TB1dk5p|ii(_f(d#a?A31&!e;SQ5v_Ru4qk7KD$>3cKLFy z{DC^nGw6uKvZeKSYA~U_#X;cb4j${_y&2^$TNuP$Lg;J)sw|Fc&p1&1^xhHXbs>P) z=OoovdDZufh;Idw^$+#+x!qSrs_TEX`tx&J z^v#YZJP&`%t!{Jb@kxQAMuhe}D`0~~eYOXfC6UfL&3-)*FXz?yH9vh=BtrK;wO`Qz zP(|4Nm94D>Nkl!mdP#N!!BwP7ZIMbG6%_@U!P$v#Ugs;F|6k75i^dUO0#P&6>lvI-I2V&H9``=RsyYBZ`< zslw3uvadvPk69ATJUAl=MAvw6p9um@cAfqbaReP*&T$#9#8Lfu2dwQNXnl&CkPfJB z?WyPAvU_OR-itL6n8v-Gm#t;+BM?;^B`dG`W9jDa+2+KCvG9wohRC%Foe?;|6#bzJbwi*0ccFEdmzvZ&f@Dj? z%=!F)@nutKLZk3%pVQR!&Owy^hI z0?2%^_6bzqKss)}?Y_jP%lX}eVodr&sPoUCWzlypmoUy$=Imcyy~6PEZoT%i4xYkN zMiwq+vmYJw^F6MNJkzaWwectb7q}@w-WM?4LAWq%#M{hznv) zV=}gAL>eVe#XBrmsC>x`B8uj#-_G2g{2F@i)E_gmTStqJ4l~G94+K40RF_gbFJAGn zl2Y~GYi^TGGm84bwCf9=*3On(3-u9rF0UJ``t+Qw%$)gDv?{fv^jhXQBPL1di7llE zrQU8zesC^RUoY)0Hqi5>hhU2Lg2eHjWmoum$cS;uyaOrVu;7SX9)DsqtF0Y9a&PiS zfM(56=S!C#`xi2tqRTiX^_KVMJnFmcRm8kdz^hW zBklm3WovkfgO@v`?%cddfwA2bSE%2K$M{#>=5GMdiS`j5cGa1G(D60~=H79bM28q8n}jd+ zbs*0dj!(wxU104n+dhAmWZv}$AX7-x<5=^zXy;V97i{CXQ3SuBLe%~TXXq#hhG=cp zNi`|LF5J<*^+u<2q0^8eqOjV=Z^glp>BeMZb3MC#`dkeA^n3eDa2G0Hdl4vf@37G8 zN8qI?d1I~8;Fmxeg>HqqNB|1ZOp)B<_m*@(Buyihfs~WZKZzDNRfCvVzlSE*HsLTn zju?v9 zvk!Re-87`>D|;4@P3pzW-7u%0+!ADPdx2E$o}+hMSXzR}Sb5>Y;gn#@Xy0}(sRy4tDA+1o z$Tp9&4006R`cx|TpJg1{n0KBQIA9P&Fe`;=b6}rUg&tfPZx1e@{9TxwtQ2uz4m8Zg z$IF1aa$+{#8OO25p$x}Z02|CL(8aF3`o*Usv1x62*}alh)ToGx^A;-B7DF#jXO zPrb|=4vTZ%lKc-FHdyUhP1Q_)Dso56mj0**qs{X@Gnd;o>Xmyj$vv4iZD;lmq#2Hu zavUtwnl%u+B%psWdC261)OU~8LhmAdIxhi%=mqmMhdQp;uhs9~`>U(;v&e5>CIj7t z#o9NfyEi4gR`*Y&U0oiwbzHB)zADEq_1Rp*ax1fVT2R*Fp5c7shfd>Dmj%z*?RwZ? z24U^(h#abdS88SVAL{!|UewV~EDvk9H0@NH+*$(A|JjMBu$P>U{@m2m^zu);IFd?d zpvW*s@fxXBEpQwN!_>7iGK+Z80RR(YAX1 zV7V9gw1X=Do1i!dTN;u=Obov`2#}e~7qlnOUYdg6-A>Eb{TRi&WHH@S194&^k6CZ- zg4h`OmqN6ZA~beSpQl*&790fTPufh;a89Z5;J`LX4P=X?@+Xv+m+$%{qTo=d;=Ws7 zoOzA8`?-Mbf$rLauZIEJFtE?;02lu&8?Vo}O#&r>h^7Q@tfS7r>MOc!r=f>=OI`gO zz<=|P$!dNDoHLAkacl>-#;t z;rLOUkUHU075yWFuMnV>IoQ5+e|Q)Yp#HSL#6IuMc(sy0_~mA3)kp>ik%M3eL8}qo zfi}GD3hxf-(YRQaK0!)>JmOUAmc(BB=!V110uk8}_UdCR8`ER|HHx&f3Wfm`h_Q_9 zT3pe5raf4`wwjf2I9L1|SO*{;yueIG{tl0f+yb|jNyl)S25KB4(5hD z_Z{x7gRhqGA%x@5qWi9@XWx(K%@oREu>MC$lOt9_a=^RMm%^V9&>|cCCCSg9SEB8L zWWaU{);dQm@pfj%oWqf*EiSYFo6`3a=63(1;-Fgjhaap0ZB-3KlY3XfMz11(t$wm{ z0xB%cf6&G(kRDE~il?jm>5g=N{`?Gn>JRmGm0#{k%y@r1D7k-!0ecVS`Z&7J_tkgO zTsW(;e8tvxOOKbuT=4e4*F?G^hXDZvr4F56>HD0nD zLGEV~9+NkJ1}T;QMc#7BXMS2f801`;Ig_2iSZ>n%uJW~Pe3{;Dn&*mMznlt=cU`^~vb3?Bg#(XFXUGw9IUsP+N^`mz(Ema(&j_Nz6vX z0!49f!3{}KLknvhL#4HzJATrbUUUC_MsPHJMOXXNB4AM?SyX)Bbs)yrtD7I?S2i?g z2+f9WWeldmTg@ArMA>(@_XK23B|teT<$O#<@kf2QAdn&jh(a(+%^{Ncmt?;OZgAMqhuedY^NoM2 zKNp^9J)PcxSGp3S9myINK*dnS#oh~b5bZ&&Y-JfdWr*B4jAO?iaIkZ-MvRggHr^W0 zNZ8pKfIOc}JoM}YLrN)7Y`;IG6c7J_$h?pwu%S0SZL$l)83AvcF_IF@57upd%stIE zDw6>x_~{?{Zd#&ptJ%YUI=ZdT-NQqL#Qg$}aPfbk+=I;X!U``-< zN;JkO;1mEzqBg){mwjKAkDp~*<4|6UJnz%bPm;jHCWj-W+c{(mx7_8YYxn)2Q3^_@-ZXRb|OGtD4nMQ57&*Yvw zJTqji&hTA%Pg2KACIinAaprmZ^+!EujG7Md*S^}^`0K}9Y;ojJ@m!blczs=96W-6= zk*Xy93L(f!PDuaI;z0ZwtIp`R)cpugMj^48gTrcl^DvC<^*n8+mFtd&%6TFpQgGSa zbh6~^4ulUQ{rIt`g*SZC994c>C!L~@_|$&B>b|$^DwVoo%tv zmFds_F6o&7Jlphd^YFRm_QLL4!jqO-xXwmcYw%@V6=|cZTvYFetr5f>tiBBIcO5n^WbJ z-j2#9JQ@^nVYHu{n}kpsCn){DA&~X41Kh)A2+4 zsSiI}LO256zNTX@@EF1A3^Fnl$xVbE}QvqY2}T z7UUUiWoM^Doz1%q3IjDs8S0w@^6B-w3f`@`&nXs)Z#LUMdPw}<*)-?bN>>iezf6&5 z*D5+S!gCJ)*vs!euQ)E!=k=tOL;XNwjQf#)hg_a8CphQDwXom6-*Hcu_d(czRjq8N)Mz+ut+o6%o-pt$Q1(F%c~( zxk+6QkdK^bGX{THs(?xKgsI-yu5H}h;pm4;z~7Wa`9Wv6Nde02Vb98qHiI8ULm^LK zXLUsA_C|DS;Nph2_0Ay?txu%yx5gO7fCynk55Y}6@l`clNH!qw`;1en4Ll+#a;bPD z1LllmnObabs;^f>>=;oY&ix%?pT_&=kCh9|k!wf>v;+w@J*jTDa|%9)>msePbI>GP zP8UOv&FhxK#>MwoJs!u$XSwTM=9b4iTrV0CZXoU4)5``iZD{eH2Vz{JC%u z?D+%9L#t@h&f3_uACAybk9d85E3%}cSqAlmQ%I=d$ml3>SU^0lf{-|9jOyH>f{9o4 z6Ds}HEQ2h6#QO2#h;sT?zeB;1*W%;u8u;o*q^dRJ;Wr?C6A+8C&ackRRn2jv{I3?k zWxbZ$TZ_&!a;TVQdf|(5k%)jD&paN1yo}ho3VZp(;o0*8OJ`FL#RvUwNzES zp`)O++eu9=S`#i(JUAr5JA3(pXWR)N)J0w94;;wL0=2yPP9g!iNdF-ecqHkFB#xQ`wIemexFvnD&OQTA zP258;;?=YbydwF&tw_FHAG?*#ef=IvOWmpch3B$oPMOY5UBXo>X<~^9m}#K|{}^R! z8O5WLo>yB==8Dpi5)tzAf`Nf`yY`DV>)U7bRaI}RQF>ju;$&fEnHuiIR=~oP z^!UT8vy1Oz!;4F~7wXc#T&8dm-NnSn81ge6WjZElV$Wao+Ii=9V9APXNns2^IBwW% z3fKjAeFkr+pk{^EnSS(dj-P0~gu-PGixd!rq;7Djuf$`Nl_|6h9RZ|~4(BrwL7mV+ z+yjDmzTNt(udnYSTg*yYnWEn2gg%0i9Yu18{U>@tLUyP-{zS&!d)EE;)ro=^;-<># z>Hxh0TpiF|M-Q}#Hf?&E_3D)}`s(mXG|jTEp&M&oMTCV_Q!OyZ5%Umc{t8$GFuS6@ z0?C+&l&Qw7Ahjxb^yonH!#&)PMoCFYbC$y}4yo0Rn+SNUofv?a8SMJ*ax>vzk?gV| zy!lG>ia2z>$CI)-NDpLwdqLnXc8Jcx^01(w(3{Hz3a1;_?J(R@j3bPH;_;^0FccZ$ z)6?P_fP4aR=PGFZLOqGfD+?Hg;!`ODk&bAAje=|uDAUnYcWbArY1q-aGY5mxE&LQ9 z!<7lscQ?nrYPe?Ea3EWb;dj47cmJ#FkvkW>eSVv&=%D*4$pU6UY6`>}+Rk_5yYO6| z*^N~1V>Kk(6(1W=-N>Z!lREbV!#~6ov;jqrx}^uW2U3GUrG}Y3>oTVQJXO?Xnp?hRrnvBL#e0r&6l&y65|7wO?y<&-Dl(4Y`=BQ+2^{%BT z_f@jH)u(Xg^vyVm5rsvmsHlh!jhc*1$oL>|7WQZ&se&U*G3~TDkzVFq+A=%tbAL3P znLd&tJL>JVM;qwYsF>GhaiQFnr$-484D~hR>)96up;FnWE^|7mZ5OtHaPFhx%VC_t z;;@1%v`A;_+v(PZJ>D&LWDg=mN;kAij4vQ69FruPih*$!=2u% zypX+zF<3$QiudEQM}(e)-*i58^a?8yP^bs+PZ1X@#ZAni5q!6>5PuEfBxN_74swgz z$0)ECOIevQW2jf)ey(fd^4Hu;+3fQZ5LYm3mhJ`S*%CI$*qI~TKLo?zg@_+ z+_ZB77NXm-3eaW|xD}3rDDTft+P}XOH{Y3lyrz49U~xvRM8Bs$EA8jI>#lo0-c)9>=Ebz>KW5`aA0Ff$*^|Y4@o(!TT+^g(bh>8oRtu~(=n`uS^;MJqU94(D z?Va(Q@wID?3cfjgCjD5)48(fkl*D2Vf#%p+#4dt=3 zj+9x5BP0la07XJ#KI_j3hD|4i?r!m^$yxt(PcX$`Pk`65sjlQ}wu3cPqP`DO6e`_B zu_f#O9H{l9xk z`><9P$_a4xi~jIldiicq2?t9~-D+7`Sq`>83hDJmrlz|{nj{)Y!Vc|aiYmgp2xQO{ zwP~gMTM+=W+eBIOV={pHZClpCC<(HTC}8|{KG-REhez58FU1(NTbBpkYH_K(VsE=20yMa_CK}6S~&=bqrSmxU4?v)u{z=i^7lXWnpz=W0KI3RC6^U*fn z^Y8MJnlR3W*?+xY5;CKB@KQy%p6d5rGFIjLFC`9);h^-oWOA$kmWxWSvRX0Ea$8k5L>Lf}2$&su0y&~J2cVXkjxiOT` z`>ak}K;vaK#5@rX9@MCf=p+6RkF2X=u(7eR-D62hpkxGJR&nu@V(Gp636RjB(c}r< z0s%3vS-+{zO90lp-hldW+g-bvj!xuSpQzR&j`De?p4e+C@b5*r#?kJ1P-jUT6N5`= zSEcW>Z*f^vBss;ccxslHOX>Z^&$8XwY?xk*#VzxE{yRj=o*Y-p)F-{fV^FtMevR4c zelA=%HiY#n8nBOm8>a~Lmcs`qo4ydO(y3DP{#{sq8$R?uQ-$PFG%z&uPZVtar7~b` zr9S!=C^>eP8qEH|Uyz|h+*6pisy0QY*z_cybam(v1Z5^kqe&^8c z9leqc>dG38%g@4rb^sVm^)q_EM-#_tWcjDcVIs7 zm#JOj6N>zlk%%Oa)9S;7TtB5#nv>&SAWM>ZW)JcLhAV;H?=U5SnSmISXiOuXK0WMt zAXv!{ymBN3c>k|Y7pBfkJUkdilrLl2ow?FH3^ zg_V(lD!OZ|ilG|d+o4SX7K-_w`=!Kur~2v_6|pR(qz-g_TTMM>^6koc3W(}>s8jIg zz-E2-H772zx1Sh7!-^6EDk03#O2pR)eK0Bh;Bah1 zl!|lI&vq7^5{QSrm&(Uxp5-rhmE(vx6|yw4o^Trq^WrK`E|jAH5%=i%^A|@I4jw)% z5ZDDkHqMA*o#|HfjDhLyp*J`R#q6$|$_i5&uYMHODpmd*s8Hj&MaZZ07e1>ln{lqV zVY4{|;uA<(`H!q&C&^-`u0`M?Prqe|PBPvLprrmVi*2Xfu(KC{aWs=PPAYTu$(;2iJJeu;Tw_mf~TV*{%t?-YA9uvXyURFi{>ZwSLQL3nYo zX{wL3tH|Z@UhM8_`Z+PVVW)hRh4;V(`F;ELsrqCD_wV&O&|Zs*HyqZa%2PRG<Rm#SNK#>qsBSZn|!gq`8t)DM`dx2!U%`?PtLqLOJPh% z%;@)=amua?JE9Pwy`A6PI+|jK zGT#pFsp^QXho)UiwPpvO%~Yj!&7AWw=JY<2&FLrmn8fX4d}l9X$gx6sHf2I|bv@#_ zfOpT5Yy&)#P;I=!Nw*E26H=i977{}=|8x!{f{8u(0cY3K-VC|6AWp~pZ_{{nMT5!i ztk8mk=U))Z)X$>q zNhCk!Rj`5GmcOgDyQcEr_Sg>BghoOH7{PakSRTH@UH0mX?pA2pNkKThKjg0N&OrEs2AKz}7U)QqXRreyl^X(%iF8rjp zIc7hnm@PNZjc{d>zk@djJ$bTl4hMnaIrdCD0ifveczV_hJR2^eSF}jqP6Dq3R;!*` zD9h+a>=6!R=>TQc$WYT|vq+tVtW(y8+f9Qv8z3wuq_7hOzT> zI@;Pdp(>9qM3wpgtG#wq^B`;WMEzDxDJ2>twhTew|U zepi&IF#!Vi!z>xS6!sbOS@8NA7XO~gy2WoY?~XlHezR(Jp>e98RyUKm)~Cepo9h*G z`|10vokJFXFNFIHCD|Cx_O@Ko(K#PHn$ zv8Bf47qfG7U$tD!=y6RVp#B*uuOcHONn8d(Pd1>j2yy_7f)-Fw5v1^m>{UOg#n{B| zL9ww5iHERI977QtL;wJ0g)k!7_ZEcS8p;p2|=h} z-86oahL7JQ`>Z6cu zdJmhv8C18#>rQ?iCnu>%Aw(gB5Al}V?h3{QT`TtKcy!2KO3+h{!2@}K)_Y4h=iht<$XM zUt60kE}Pox==lg&c-GE_dXOk_h!KWhki+c2cu?xtXwe(kJ$YJYCO?Z*dZqd_X~rB* z_!amTu>qr{jmbx)rQ-@)@)mS|zq6RI)A2xQ2r)q6t;6K)i$m@i6qb02;bJ2UYc_Hb zVTZtsz+`|u65_ip_)dbAcs!@)-ILGk+wr1o!s~WUsL6G;Wca}mp6rLe#~i=>#}^2q zAsK0o#<^v4XeRbtxDMSnNR^Yx*5h|@7@myUk39xFC-j-5IR)c)5Tbg?4B7A1d{Xj* za(V~bn0pu1s>O@v&v%M7A3`xYP^BY1K^?YY$g#MP?n3#+4&AN^f_GTu@pl1uSo!&B zW?}l%?C@s==fgn&5&RR_w$xH&<>~G>n6{uY4q+1q2rWscqiGpL+7M6^T7%zj!;+Z* zuZY$47dCA82O-2oJ;*V5LdedKHDxQ1E_}g$#X~6uc^5YmpFd6{B3V476nh*`Ih_7b zxQ1YBj|tIcvbbjq$trOf;;G*Dc;+mn@=IHrh|83RR_a7fckL2*Hya`=D0Y6{aXfG^ zaC1adlplUvTRB1UkaLrq(5mtA*59KMAEo#oOI?1VBJ?OXN}cbCR>0;x{t^qhPv@h@ z+^+ik{>GwHYsMG$fMH3+TT?BWk@jxTcvR)4J?h_vamZnFRuK^}4DspHPVcTh8MaW> zJ6xBm&@FO^HLs*V$!9un?CZA>`OH3{Og&e7&Q<9r*JZbs^pD^C-W`^}EzZ@h1t5fE|w;>DD63l>9919DYG4YH339gPm& zhzmzaF`8S}^CteaA{lxv=Ht3y3z)@66zoVot>;8$q2&2Mv1%ZTP)dlde62khmGpEn zAQWaUC}^xiGs*xgCJKz2w_~IM{CGCH5jSPOk=c%~xM(G%i7e6THI7?%ErgmE~B*+9r61XbxI2 zJmSKH4?bG60bAYB*dN*>H~xB}j^pjghCL4(2=VlE+i>~aN06p}Lv zgG<|U4Hg^(0oNU^tWJb*rI>0sLqzjy@i+GTNEdN52;uL>SegPz(-ibp@?|C_CMm8e z;$A{;7YI0|3%My|o58_RjXD`$%Q+qFN!vDIY36qq-wEQslKtx;X4h91z_V4gw5s8ux{Y%< z+S%`*iaD+8{93?P^>y{xi2gxZtFh3|`%>NvtqXQ3EkCLrzHx>Oj4VJDW2Fk8E$$(x z<@W*Q&Ke{>Y8SpqPQK+y6X(i}ml&~v)pZJ$KO10rAUP|cY~Sx9FGJl_2!3LPOnp)p zkvQ@9)2XA?5bsL5zv4DNt)t_MItX^YPb0(7^Rdcbe>1rB-MVW1JBP1OmR>CHI#N7d zW8E?S+~X49FDKL&gwf>h#mi|s6?`BNiWQ?bPLxfY_D7mt?7gujvSrkTHe2Q()AWj0 ztbE0V(>AXSqLU{^qstyCrnQ;&_*^yv5<-1`PLag7V=*}9RlkA3^YfMSI$_pIpT92V ztEkF83~ZMBJs=U1bIFzCCBEw2HuO6ieD+1S1c)UADBjgZqX?3F2tG$A*X)|suDFdq z&l)Pb+utejvV{CO03sJL6O|JuC@E^n`nL-QXMg+Lc0N#Iz1-}@giE3I;zh?r;=SU- z5!9A=&V&i?MF5QanlVC^mLt^cs5d5ZM?5evab7nQ*2%!=yy*b-89HXx@#p(Xe}8}U zUhfA4BkAFK2FrIb*F`mTwzRZZ>h7WQIgDct;<_s6q>1tqBwiI>MciDZ$vs6g)(%r;kAgeW?}QxXNEYy-0~n+$Lm zeCE1f?5^sKEKKHEqSmS>Ca7cHsX+&P(=150Kh5iPps}fGk9VviM-gsvls*Yc z2cHF0%6!PkTB!Nk$jH`~QT+UqVe4ul3QT+dXNi`@XjJuF1V}e4!K-55Mx$ zJwIj^k}O7Hx{xR*cu4dfw{T4#dw7mV!=?{{o8Ae&%J8FS^wis|t)rvB+!R1kdjK%3 z{JvVDe%_~ZpG*L$}L|O>Y+dTsDt3pTh{Ve}1nRbFM7%!|s+G(D{hqu5yR|}KS5zq{76P=-@H@hSrT;Xl> zdE~4|zjo9lTE5Zp3^p=)4e!Ot*gD`QJUM9HN%}K>w0B;v8-I|1eXN3Dn!d6!HCn7F zj*ULM|3AbU^Z=8*_to3578#XY+X1KXh6EA&?5bGGKC0loPfzcwhH#CP2}ZSk=;?q5^_A|}*>Hq-tUIAY;(9wqLuT7lxFcH{Wn8qTKcPN}1U=!Nx_S1B zqPb{ zH%g4Xllv!yrbq)LFr3m_Qi2O8S@~ao-lcGb-!aY%t$R{O_CM84;nx>KY!OdTe$7F5DnLr&Td9V3fh}S`xGJ`H9K9K z?w8ZCGK=aJdrqIfR-zrcRjFwAukcX=p}ic3Y2P3GnbKEZ5fm+vRD3>EBCXRYiN4HC zZcX}W+Q>CcDvcoKLy67C?0#`2PR%y7xb))M9ZQ@&vXw1V*m*K_|J(k6ArL9nJ!X0C z#;;LFf+*;+7#RQlsxi9j+x0G8v5eIdjtnxe1N5Y(AU#=Rr2+_wy_+aV@N#LJm|S-G zbKyDgGh)XkF=^=J5S~r4Aw_|>x=vuezP;p+s&WC|ya1mE0CITY`*fPqzF^Q38nAYv zTbGYO_@=74XaQ`0V+m=+bVLhQWil@gzFqN_g~HlXOXImNkO2RXR&<(frQc~Oz#0-3 z_FYwWj5ku1D5vKnWYog{P^titdzO*)6`&6OeuMESGv)r{0GXh>Yc~e4_iZd^R6ZTMXtv>%e7(xo zq;-~MLPqV|-!+`+Qi0~dZ2sR7LzsNy9lm8h?7Cab8+38AJ?K9oB$;`vpDuPz|Du_y z{a0i8n1TLcca0g@{0`+pZ4YgVjMTG^d8R{86HMq!0q`S^V$^d#k*9%1v+j7g17{;? zxy20^-Mc0XbN!0GoD0*mis7dxpnN^-Q>WB82nI}}%Cet_Kk``1nFI4v!0E5exmB6Z|FFZ9m; z%ju*#$?#v@ned1ee+3JGp?n$V(>uOmpky^>g9FutZ#9C`+aj^ys-xN+vIdWI$Zdp*g%*apz zK=fHaL?o{!_#7Fu8)GWl+AZ0QAtWaDkFXT{St7MUjA-<&(Exrb{JFE7pfh?0 zx=~C%W;G!@{~v~Imj6{ohUiQPJ-DtozK9eXL=Bt~sy{x!WC+$D1r{W$3j~v6nPboE zO#tm!B`$NMc`UlKYTVc`7BUPJlGlgsM{lP9;9dSdZ*xvC4qEB*BHRO|X-_`g_&pxk zH+nK&veGd8I@}DAf1Y5KCit{tII@8gQgu^#aHplqhsvfP}VXXo(71a`X5ciHh( zFmuqwDxLpsatgmQbXhP1!wCSjh!aetxdX_a-Y?ml;|%ImLk6kKFG|-~qJ55+KNbSm z7Wu~vix=Z5M=Y_p`S^R)v?A1>^IaqKAC9+gtWPyVxv#^93jI~T*1%YufP0m_rg3+j zNx>1?igy+Ix5v6Da7sk#3|#lK(HuO~!HZ^--KXgfRWFvoNcVyf;MrWb+k zCkzFCmPSaWbWfPq^U$pM1#M0?;GeqLd{4$Dk2c4xMm%KlHT}SW@MG;Qmz?K5h$&5m z)Q-A(n5hn$-}2eH;mmzDN41_ohv37vCZ+U!vgcaS@eeOJ*)O2AK?27QUHP*Bj*oeFTY4N-$ z&@ay2baf_f-{GYDj<%B$)Oi(#Mn(rbxyXGn{`6GpMYY_ELua1-dpLBUeLrX+3{s>R za_vVV_6Z=yj26dm4FLPFH#IU-l$ZPe2z&2vF8lv~SfPll29=2H>=~hqWM)Ok$`+E5 zY*8v9n^cH|%uphuG_0)5NXSSbn-KXu&d>Mry?@7j+<)BHadaKm=(@b$=lL4X=VLwP z^6Rr zhqSrZI>hz^W752LM>NMkHk}b9ZFjsOxm)vjH~1MYpZ2%VeA9Wd7{Maf|5G04J%aPc4o|GM3fSda4~tQkd?iydGGdYz^pge0YZ(FN z;g)3wU!BKd^`F7_sFDApnx{mll1i9yZ*VJ=n*+bzopDWqtPoOEcUYX{|;yGUWp4)Jd;abr)rW;X}ht} zyoMAuXyFCQ@7Ko{RjHTzbI*=hE|i7y@b}6MZ9bGq*Lw1XM*np1RCjAI9aMjN0;ujy&zTL}dAmSeYh$LdOgOjp&#i9^9&~mg~AC;V6Z(iwIRg z`AYf7y=80~j3X#CMu6rMVV-D#i3C-C)AH!^ zol)tpUq4`CyG6@-4-Ep?0fMkY>qeNvfVh4i9li1VxiD7s?VDS>(lO^6NFrL*5w!Fe zYN~>36raZg^PwQ`A%&`68S=+rs;eL<@nfXp${^k!)U2;V%05J=&tYhU0*oDqIT8Ab z+G8F!n1|=QCPACrxkEure{r}gK_q?qF26%L(~b$^gHyRJ66nwYph4t+?;3jx$1VC# zXiwT9`8(+3YIy!U+#qjzN0Oa2FOD z#TVP`-(KJLL1`7k0Pftm^A?Jwxz%}VoW!L{Hf!QG+rInh7#pj-sMb#VaaNUzilB8! zaGTUF7Jt>la|eKR@r6H(J(*f&Ro?U|GFRD$2(lB?pNWwb!OEd@c*XS7tY{C2C|aJr zZN<<3Dq%vxao<{O10rJ&?v%G8nx%2#wsv;zqJ5;Nz*r8CkB7qMLbwyTBpA0n#);wp zpYz(oUvKIxBg{0D`}VYuQ|*6@uqBkT!hJtraD5Ib&kL8YiPl}05b|Und_CpP?aeBL z=y7iKCcPo?Y@_m8$N|Y~4a>Wot%MY@hCqIVLY~9U!ErOLA(|G)(7oWK`6Vm5Nslbc z-cfvnhAl=6<{%7<=ur`)N7Q@>e>y(l=I+jJ-GlpBt&&;Ph5~)u?pBYbpSsR{C8xVK zF$9PhKxf=`xa|C~zp1aWxblaPC+?c30O`@>>IzR*n)@+G8iUAgxS1Feayb&IWa zM)*^lU%32?V)bXba33TjW8l9vdy>~Y4A!5y0L<4zOgf*F`R*+#BZ(SN81PYxAP;fuzeWl7@x}?S=h55~TWNW+91LB5RR}tNi>V0*BnEmJ|wG z-}(v9Yg3!BM%`HSwOXA@-BI7f)81`%<;wFMhjd_*-|-OqGe%@ zR5_Ksn3S4&Z*K02KQg6Op~8<~IRp0|B0%6xep-7C!rXcyM;eq9)F7kyxI0)vUshzj zKHCI_<|LSc)T4dYg3~4K;*ro2Q}l>Dc49>DSdQZm@e zJDodoy)gBQilHPLG`L>?vLAX5iJf`do|UZ+w^$E$K8{o6_)q#YsVff0XH=4q&JhVE zI5d?HpW%0YLhqOV4Q{6cPRm76)t0Z&e%_enWT1re==wHN!qf=aSC@@6ei&4x%@vo6 z`vd(|n4vL6GF->%#MD$c2I(T+jLh906Wd30sU5aIRl|;jA98Njc(*mflX%iGB~uM&WW-E8znw*p zp2OU?lq_7nTs9~V2>NofY&7|QuQ`aNfHz~$jRAHSlDxaiBv+$s9YPh454{HOfN z=xAN}r+7l}QXXS`v&Lmor8O+-WH?`ph52r{(MKEw6LBb7%{{JdXle~1+lyq}Fg(+^ zR(5}3k2o+eaJtbFlpoT*Tvy!qH{^sFc4H<$4)<n=Ohq zmK1V}_kiRgc+V;pfN;L{F;_qiD(tk$ejoB);m5eFRw947d%d zD1DYL9$F?PC6(@NUXq576sp81`t{|8dc32C2??j3E9eC%f zmKL|QFQ2p?x1#2Wm^eamPfEHn@I%8Z6jgNa?K2uk7EkxT4A-}CE;0*vGLIJ!S*9DQ z@;*#`9f~il)RWTE#yU4T2fP^Q=&nQHVvPfl$SKDo#zb>f@u36Y!i6RSuuZX<4s^Bz zyKdw--J(7KKR4ZGJt*FEg|#nfZ8`;?i3uke_5XT17 zYy@#~BWKD|)+p$WtM8+N-EKjL-$3$fw>d+IN9h?t@~8PdgHNnK;RU7+5ZKP^0Mgp- zf_;3<<~%PsPDNR8;YyyPo+i~Y?dffL|CK3QI{NPC?-Fs|e1o$(I=@;1QxXU*JBerC zRjmWs=&iJ?v>~8?Et9mu^sMBHjexv73&fm|TfKu<2Y4Y3@GG!Wgq4cvJ?M;JOn0+_ z)#Lvfs_wiRLCEd#x*A}v?PFI{FjfX?nd{)@iI8i^M==DQ7@3P3idpFkNHcQo8Dc;f zlo>?OH}WmqW4}~;&u<4BeAK)PJjp6T7k1wxjCl-{w*XRxWI2kiEiW#TYIP#y5cKK) z&>0~)q^{sfP!9#%efDt6Bk9iJKjKqzlewvI0YmNnhO0k2dx7^`+Hl_w6EQX7)6f zWE3)o;aw4^3gwL;gu3s>1Z=INh&{XM4ZIZo;KN{RGdI;a817{+fM1i=6Qw4G;`l^5 zM;+w)%s@gI*{c4Q?k3_{YH>?TZ|1^H$J7`qZgHT%>i=U^yz}a@`qPmY*GLHUjbmK% zm%4k;E&YlpBVQ63LaxbQtbb!_z50v>qELy@Sd6>9vN8)^JDdNIr1Oy>a&mIF6*v}m zuzmlrWKkDq*1TGK`76w=!!k_wCr$(OjfsvvmC86hMY5X4I8Etw?p%Cd8ImcCvvcko4ohFFuz#NzVaY+ax-R3vEHZ92^|5BT z=K|MMw7>y+CMH$+ul@b*vVW83L+6j!)tP%)^{)XbT{r)=i8maqOvusrgU6L8RQAcV~rY7)Hy^3D-<07F#g9% zb)?rHiNU&T_uzi}uLFw&ytd9>^8f3?vgX<9ee>_5U&Q|}?G-~gg%giVVt-$pkw|)u zKRBr!C@YB+#0oCtU_fU_*n+&R>}+h1N%U#>Pcz5i_C`O{l9s5B=jP_FYjPcJTti;K zU2JIg$vfIdp9>bMr2#L#LM@5oj!5Al)?36jdOTKTj`FJG&Tp1^hg8 zep|}6`*Qn<^7Kf2PhH)uE?orq?;bk>JP`eKzch9)F9ZM|W1b zlopNRvVLT}zP9!qxbe@sM1Eo2JeEJo-l$ph@paj(~*i# z%5ygaxJ|ufnM7OXJ@=vFGh*12OMsXT=RF|r^u3wSGM1v5OVaGp$&v7iAZ~m zPfWzMITtiyQ(s{x^_m$7`>z{PY(?eFncgo(ZL&g_7HA$v;Rj?#if)>3rQ8ZIB{sP; z#-)q69vXMz);wuj$E?2@NyzlU8$a6mb#jUcR_D`lQ>&?4gf%9dur}rhik32cd{zAQ zX7n{NKWl2cJXd*TbKBp$^G@iAU3rs3ji?NK@HYm)jU zB7#OZ$o7TA>@;C~xc#NdtJz|kZ<{Gy)#PJ#HnAmfpXLmc_LE#6a{U!CrJk^3Dk?k1 zBdj7wTWc&?PqNM=b{0-+IJ^|KfZOURXl8sTq^V$ZY6I9AufXYP#!Ohh)5uI zF4h!AGUhjC3PRn?dC_+3-=8<+-0yMxe>mZYg3oS>p0Ml@l3X>*4tRY>`pAA}k}q)| zp~n7Zu0F-4%_)gkgIn3z7e{uUlH#>fG}tzbt0lLXD<8&L)CH&hNpg=?RKPr>Bm68C z^rAcxoff1aly@1IZtPH67^vgrUVFELGpB<0nAbuwz z;seB97j>eh<=y|xnCaOM`7cHWUvvibwzVrrw`s<@~`Ny!7#VrJp$^zm&ZaO zKUDzP!CGZAtoAK*30=2~|GdPJG)m-|ns|vwrgSw{eQW!?T+v!kF?vXglr}A4qQe+3ul<7tn}yV7e!HPQ6TDuYxZy{K6jLNMv+Vat2C$jlitgM`}lUt z%j8ZG37R3{4@?RY^$T%Yj{$=D?XGlO9uBy#4##m~&L;U;rj+OSe&#l&UDBoI{>F2LG4Vd_Y(_ z2wg5-t$7r=HB>&=Hxk>9HiU$3?buFAIuF$^p|6)}7R4x1COQ=B&tdO>BDBkSb{|`S zwwFa`5<9_vd_HRnH{u6E8_RM5An1pqp&2~)1P1`=l6~5Fy=rwE-M+Jpt(tAO!^5cv zE6XXVWJx{@-V2&Qc%DioMpgZ<=yz zC|#r}OK|eOh)yZ@`Z2@&Q#cpBx%W=XNREH!i&53QHH1{YE8=JRSngaud(a9Ym?WOR zQ-75r^ys_y1q_d5my=7`BbbvWT!`Mrp)+eYNy_wfkS+6*^M%_1wC7GkRX{*|~!+I3rbVAc58z z5=WzIUx~FXP_$Fcm8oz&+?NX!cDVq77@m52O@JRR&DyD)wuw->zCIzPnq)64YOaes zhc@NwBk0k3KO*0g)rO1wf9X<$?d+b^eG?@dPKvWM^S5Zg7;p?Jp0+cr0XAI@;~?x7 zAR;*WScAEo@LN8zoq6)luPo3HlZa1F{Dm@usB~axWB;uL#u=ZBaD=*YgwbifW5=gP z(pz)dNmj)6k1>JlRAw}N^7%0m4KiCph3%Glg0e+!)zo;S&_v_xW1&#@-#CoV<&soPPFl)|-UH#F34)#h)EdsV2<3#*FJ9+2e@9?;d3;#u(>XACM=L z{?j6LC@1D2vKUn#q|&^jt*EYpZu!tICfQIxV!H{3^=+JU&OxuTgdT z??>A)rfktPYrS_`IWJ83&8x~)X65iGqz03(KcCBTwEP$I)!Rsi zhLT75%$e|}i+bP@(M*JF4?S@1gwgzciP!H*S@jhhcKH#RF$C;`LQL5Ci!k`TgSbEH zfY`Z##5U?=hDcQ{;nrglK43&7O9HPx^#gkOD&{O(XU*39S9pmua@;m2`Z07y7 zIIq;aF`eU6^STQt@%i;%$bz9zKJa{s`lb-HTApfvbJZE>@B zXVb%Fv16qjCHa@Lo*Dm$PUH<{$jZ7&PIEjwnDp+RkRx%L6VpSi+0|eFJ__KvxiI+Y zk5B8-)Y988d(3D1odSCQ23qt{QS$q}R@Lzp;0xO(AnwxNRj4xswXF0-b%bKzh?6>@ zviCGXfrxnrxW0&E1-m67J3jWOG^R?l{59P9XTT#$OPj$qg;P&0#QmbFfdQxAjH>PV z9tC5mu%9K|72gU*P(_ryGR8EO-G_S2xoicxln-fq|EDhWf=IoR`6lqn4FQn9J4!FS zaEMW-g0A~1pU@%(sJR2$2hg4_Q-5x@Yj2k1)6QQ|<|i#5L6!|%6=55d9U3hV0|HXZ ztLost2&f6erBA)&y^5^xQv1=_*)}CwIgTL@Y{9CzcT^jrtXq~aOyMV-ZasK;Hw0W+ zk0M+FAsB|yqRvi!yNV)6I_O{3q&e;|*_AKWB@u5S0Y2t;<&saSw6t`i3y*?R{ywr` z=zBXsx1(okZWzbfd=Ppk3ZsAo^*UI1)QWIzUy5SQT8;)xVH5K>dNO^fJiqZzsD$eB zYmgQaQu+iR{ z=t8|tT2St|5sWW;p}Np9h+jY;Ax#SnGh&qD>gjE*j&s6kW)SeX!~6HlOe-=)RDFG4 z5BxyEBZ6PW9~acZ_PdfdNk=|;ey#?=+}%dLy=K=M+fJ>&%E?iE$%2U-CF_D7OJ>}1 z+`r_roQe>P)Sj))y0(Qw@4-VVby&C>rKvU3A7#s&IPvwx9^uQfuntB-1Rv`;&9pfh zXuWWlEq`6^VZQ_H3Oii+X-!A`LqQbS_yEWrkXM2<;IYXb&E z%;UtMtM37uY$`uZ7PQT%`bPDYZ7Tk8^nQ2<%U~Kr24VtEP6We@xEvNtTx5QKazJay ztFGbUqj#cKw02@Eix#|9#$iV&Ag3`u8*x7&fv||p)*YT$G)wlEtKdGrHTR+*M^t$7 z2?upX!<(&5R~*ks{<&+`MiVjHIZ$QlOQ$LMkt6NXXqYR_-1z%H!(LQ{cQYuq`n?`W zI5N(COrS`ozi_M+V@&UDq)LXK`vK}s-_%r-ERv%3!lKc2!&TAqKi_RDEVgK7GqX72 z%Kv&q`H+8w2E}8k$Y;05r617*-wy4m5@N9edqgbb?!s5R(_wU#`|e-v*?grC>yV># zcv44$Y!==7*qg&H!re1Lo=kGvOl&f9V;>DF`w*Kg|dG1Z;Xv za<}oW(+}a3hE@*Ue2%OpQr>vDt$fE5&QCAw)e)pI4_G!x9v0x|kEh%|epRzE3iJVp zDs4D?5zF!L(U@B9r^gC6_!E_W>0U55Z-qF+7&&|JMSVoyj1(tfSV)YmY5sA1NB_y| zc>J7}eJ4Gf4OsNk|Kk*xxMwuVQo zp`M;1Rzx!e+l7w9S?#+XN`&&XqSCKx6-d}o4X+T9Rgijj%rfszx%QmNjM839>9#9QElk% z?W^{a!byeGKNx@*)&Zn(2~~ZB1a!ZUIe*-HNau*K2gB;mnnb9-Sdo~pFEuN^2p&L= z^Epb;(V*4pAYKp(dKI)4h#|^0YCDO2>oVC!8FC7+1YdAG6lMkn1{-tlX^CIC)&l7n z86k)d@R&%s*8eoP3e1A^vv{7nc7K3}&=IQ|Ft0e(a!+jV8h8dre5j2r1jmP4y8tzS zgx3<^z)P(bUm^@irC>THpI6`SzwUVR#*@)AZu4p8?(kvSH3c67 z4*sf*O#ruVfhV`D&jIT5MsIM=W)7oY90#i^CaW!Xn*_{aFJs7Fm{rYw7qe*y3@gqX)$#aH)`La*djbG{JycbZ`~@vQ|PwS##6N|sXNFVP*X<7 z#MA)F5?gYi(#%l`Fg5(7v0w%bEOg;HeTXCH*$XiQJsKnS>g2!GCru~Ji+UGPD2V~# z0c)QuVtwnQ7crot{>{H-A)*6D?;tK0&3V678<+~^?%gkWmu-FpOj9t=TNx_SkyW@_ zRC+~XMd#goQ6dOnjzdHw22Eangx)S18at52l7IU&gsN@kU%{2Q0KW){3i}uHLDK+GMWA;<)@U1<% zuj!PPYeY9%14V8_f&^{6PC;ZSKCU|)OUO?kE&G?AR_STK<7?D`qzpsYofHq(B6ZOu7a>9|GCm%9Yc_)O1XS{fR|mQn$t=g&7Q-Oo*?vP(4rA7=y7|hwKKt}*PBzyaWt{(zJP}$+QFntwaGo$m<1@hZT_|%V zyOZdNm38B#0&i2WNzOi1dQ27UNgwgsAT*dydEm;sz!+MGDAtyodcvfcNLNA=#Om2a zUv)L-#!VA8Z$w4fueqLK{L{qvOX$spp8n}vrNftx!DuFiLXX%*Sd~YdB*C5}5}|^V z6lYOrLEyYyC5jkHru|PV+5dMKcj}dL*{nZUE~Pn}h6V;75s&M=x!fyY?uu%G;Elm? zgoK1N2PUb;K(`DtXF5Ag?fvp&l9Gm}6{nVcjgRh&Q1-;-ocFu?s4YnmFEjE)BOK%d zH;$v7v4_0CbNWk+HU=s$4!lvU&x1@2+5{gZ1w~|DfSbf%dtsM;@rS9L49dD6EQN*L zMwAoEjxZe+5fv3B7?|XfLGt*9?vdSu-y3N+#s#-aBGd<(GQP23oaCA@KDI72I}lNq{UAx#NBoe@464Pd-BfjEZfB*~ZS`$db;FD@HXMTT--95mEh#+9S@mZ#~ zlad&b+bNpfgN1}R_f}M5PF$2^DglE;ARx}~+?wA0rKD*u;5QEzSk=dV{J1n3n3R;1 zS4Rv16#<%F+CncH4KMs~iq;vo8 zp*L^rq%p@M8A0mcYzPA&Xy+R!4x2=IffU${xj;f@&_N$DdhhAVtMjS9iaNT_F}!{p zXo2)qq8A9?{Ib`#Iu*@p8kSJrGBdQmc&w#=!V}8nyx5t$5kSqE(0;>``ePL z{BY7WXNK)r%My)C452-FKrou`$MEa~avc?4R@ad$3}XgxeSQ6znYNRM--Mja9xZq^ zXoXJa!Gy%6t~=Ok9VjUVy+?Nko|W>=HJsdy>ie;Yc{XUey#qYMEC)xTVj3d%DjFTL zoBPx!Dwq!|`%M+`CoJ3BAJ#eVDqc3`o^$bT8nsD49Sz+PfG+%ATBt$P` zn~uvc97@KV*Eo$zrC}pR&VA8(E5;mVoG-lzL6hl9S1t|a4zRznfQ=KO-bsJ&!yOLr zqD0UR^#%XL72rEF<)bv=V}cvMKIU>H5UF89u5jjSJ~|$Q0s*rW9QL!gQX*47nv%{j zzaS^)F*<~rq?g5pbYxHuWcl6#gok5Km+P87x#Cdl3Wr5VTMcH`F6 z0OovJ;0ICsRHyhVU*X+E&LGQJz^-J1}dm--ZdL>G4K z;CRaTJ z0Q=j$__i21p=)H+0O{y>%U<2RzXM;{+u9PK0IEM;K|wnR)n%8v^xWH^2=1H&d{ zm)ezxQxU^LO*)nOJguAeLO41O6vnH2TZGIjBvI!W`XuPc(^5iay#H?_HrF$YH#IFh z6gq#bo%+YYdwVT^M}<&=vw5eJ(c&tIHv;0olq?>oPfFD-caoDA!;HDHu>rhaDe|(j z97;UrfpU7O^HP!r&n`xO7Y{i?$gc9n3K^~q`f#^trQN&J;I}TW_mTO5go{dt(3>xZ z6D%o1jtC>zeq>|>BdzabGyw1rh^ITM z+US5$u9lqJdt}PO8CMl$!?wi~26^}K9SzZ9Q>z>hIG$>>X!x0ORL<#BB8&f=LLRGM z)TTwq_0Ko{c>V24rwQ75DRj8nf30NW)sxB(O;_r_2FE{BI(+F+$dPs!XVZ{p zI{E`!fYLA;Q<=+`AO}%h+5B!o?Th!Gy(?QHbgXy+%`jwk=fd*H6m+z#4lgeh+{?BH zU{sE&w0LDq)H{}Z<)8?F3-gnVmx<^uSX1w0IH=^Shf9x7z%V1 zJbANAtEKRLv-;Q;M>Yg_T)TFSF!S#p8A5{D+AQ$MXLX#<+SFrqT5`0#Y@l`uFx-0@ z8bCr{G8TCkr!|%Z7IXsTRrm)m^AY3d(`Dsxl@ZwzSf#iPUKsb{czZ|>(mK%nL}Fs% z0^B-HdIGW4U0p_gzxyS`{IGWn8{JjgOBfyBUs|2}zTf3ko~w{Wjj1hZBH=hgsqKJx zbDU-wj~}1nY_sJ1Tnfw`&jxk3EwDt~UOBQ;nJxDaWs&MVLdg=e;f7%cHiRY+_1KOZ+t7gkylHH0<&u=_nG89J zA6h!yG;fOvuOz_epuOhRtlAu2f1DIzVfV+zY=|_>$}n+9W*#1%=-&zzYHq|Jy5ANi zCb{f&FD8#fx@6Js!f7IQ=fDp}LC@&)LY7u`j^xe1l{^tOmK_-WoKrz>vm1k8Ie2*P z?4pK34@uRuT@E8(;XkF`K?=;cl=tb=50H+6JY+-1xPLkRcd+=*iW@sPqCfu0(2ccv z-5%C^Q*a}#9TobpiJLU*ru&21Pk%bD%oskXNjUYD{3~V3*3m$Zk)M?uVXwR%jWjPa z^y{Q0zcZ^6^c*+%&f@Pj&M3I})cbB$*ZV#8$TQ^k?a~lcEpTg&$>(aPqs70+UH2-J z&Eoch8)r!-zRv02mf1L*voGX4@0ZIhhcr=UIrOH}Y-vSTwR0F9m6)xZmG}A1A5-F5 zHNV5sbc07J%%#>+7?HWP)=_eG2!j#~a^;<`gWqMGLmPc9$FXDKuzBqPT8dG5ch4DB zd5a(+X3Xt;2i&z*t12P5A|a&>Ae%xkhEWy zM}jD#cjD0Bv^Q5u!4_I}@w&9fkDS1w{QP(+UoTd?r$^i#)Id{8v)%j$#Oi ztT^tdw_m?rU}1#@<5J@B1_m&>=d6=#!U;3Br7*rQ4lD#uU>EK+sQ%tlZvs8rE5klw z!?M17gqL|Mp4m8)rv{rSKKBh^20t#($s@ zF^Qkhk$;G@tFaeRG0)AclO0(*OAMY?T_4jDq>p|4yE^aYlK<`K3d=?;<#;%1uB@5|6&%pjEMiy5-+Sm&&v}XpBGI(;TFD*|NF9#Jp$I@q)|` z0Cjk`s*w+tNBJ06ap*3SPc)TC@WQ?QcpX=pFsAT@$6dpm)?Nt-iSArGa}$#X2c&H& zV|%T9eSIS*UlOK^(BZG|_Grs~kJgNQs(ev>Wc&uLe7oic@`j6H4Coxsxt}m;Xlpwk z%6RPi$jCdVqH3-!i^*(>U_vx`NiLp1ZgW}MXkZ+Pdn-Rz(>6>1k5W= z>Csi0lw|wdv)N))9$q&2rpu|mSLou#TNH_12&kZg z&A0$P^MxhPs5^Ib)Lu8I%6+wB=fc7>=u4PYqHJm*v;CGZcn6>a2a0%NN}~G++p`(p z>cQNaf`vYwPYWORXcLooJ^1w#+hPm&q-Zqdl#$^2>s#fkj|+|o8f%&$W72)@J+V%5 z>`NH^ge}(sOOX!}Q^#ik{I)?&hIKFIE6g{jgdN}6rI9F%dp4Y2BWrdD$Ez{(PUr60 z{kadT2bX-lEY_6SzE^ixwssOeY%$z6KZ=4i*C$$Tmhf~za>LpZB`Us&TpFUc+2mn! zB-40!LH$mK>Qk;;Hvg*yaC0mE;a`XS4%h%>#TSeKa&&a0X*&iB+Qs6CSkoBy-#*Zc zqqg}#B~*0^5Tzj6RmK!4!1_Xf>3GXSs0Ery%+eGqRJK zn>EG0#?+Y=lr^=smKpazH;Y9zSDUaeqnP&WUYT~4_Z~g8*LHl4a8x`_b(4jE&w8OrjOP2+#`($MG&F!g}2<@ITL>biCF@+%5w#V-m$ ziZkY}YVufu{LITQD6En2itLR@;OaSwx-he=AsNeG0 z3lS4#TM7|i4AF-oaL7lO>n=N{S@XFrVfTHhO02#jP9Iak0_vX_fsi{iPAe1WOR|`KY>G=WlVIqX3#Aq4@){48VO*4Gtw495 zrSNk|MQ+g?zLYqo&2AZg^MNRDJv5g#MO=-NP|>yGulaq~kAZ^ti1g5T#E}BwB%U%F z*rtoi0wynx@bZR%Qf~Y(4L>{*gIvd)95~1IhzK0M*;T0Qp3RUqgta2Z4LaaP+Ei1}J7qwn{gkGx z>s7+wj7-W|PFE``=pPM-Nbv?XJM_?x_Lzk)L4c9+<0Xa%YoP7k_Jr{gV52_l4_E>- z{F@OosD*ba;5)m%x|+khNAs(QtgNZTE!8#^X%#}+Ang0-!X-wq6MaWlP^;wb?uDw% zq>M^KSl~QL_VKlMgrEz?N%UUbER`?n4vep6^iKJ}i)G-#sm2eQ{$Y$EhW_Ms|4oRG zCmj4l`dg{=^=FLZAk>``hx88TAExS=;O=?ct(`fqe1N9NpQS0%{et9oynA(F+us4x zGc$$0f(-Ga^*9s8XPp)Trg=CHdpMHjKzt3woCuB=tgdpPV3mI7%}` zMq#e2`a4req>;f;ll9v6aF@j;=edsCbptn+ zO<6ylTR1^JJ<9jSE#X|Ddx-x6?<-$(k1C&24xubDR7_LOYTMHh#cS_LVYE^vbf!() zX7R!OrZ*of))X}-xJ#s=)f^b+4}Ekb%|@_PSGL7}o}?}O&2yEFl)U>>*N=T)*cqzF z{rQUDDZ007QOZuQIQv#EX4;Dch{-4gIO8d+7hx2 z%6}h33!GyOIWz>-!YrfRkyILrd`UO(6hw~fr=f31O5kgeJc9{1Z8$6~6HF7mJ}(l@ zEq$Z@Tk&&(sA(1GY!*J7j4)paBOx+CAlPq~rG{iq3*Fqd(d}9lst>`nsIz+FJxDS> zB#Dw+xzBv**;1>t&jJU`pb<dD`R~ zOd6dxFmQ}*w9Nklaz01K+;^o(M6E)Bo4!43r4o~nVeRMRejGE0DRCFNUXfdSzY+-1 z4fC6+sJGkFyY(J7`IpIJ^|p(hvt6oN4n>0g2W;L2pigG7x3mt0#e^su1a%{}@CP8~~$?^6MP zzM;z@gpQ4nUO7`~r;4ZUVm(BD`k@e}Y8xi&!v~HUJ-2eBu zxcIrnz@~Wu@m}}?XRj@UwuTc3c9(pab2N`x%8Z!AXUXToIq~BMq3JO98Q+Hnii~MU z31vhUWft;aG7j>oy|_EAwPv~>&KX%8Q2 zfSM$lP;_g@rKLXu$tJ9?Oyg2`4NW)`h;=~-L}ZiV`^_j(TRpT*kem$9`LM@cg|a|A zs#24(ab#ad!?@@V(Gv_CZrsd4zPlnFLMwJtXC6>99a&%{%X@ZShUu>wGL{UO+K-Od zC@vhNTT2di-ruGdF<*Tkg8T4%_S0b{y40@sx+WqiI3q+ z9QSvI8m?N()AH6Ie^toqs0P1G!uwlK=ie^{VzEA$y*%z;`&oK1h}~1?KhuUcg2A03 zI6)JleQ*v)<8lMI5O@E+gTzu%dHMYyXkZp@9y@a6vB|+}S99J6u_KhN8I@hj(s%yv zTmNRa&XLU?E2^?uUd0XEU*@85`gEwQ2&=Fq3G_e{Pom^AkV6Pa$sH(2C4-WKZMoq) z@r^Eq3PvU-2Z^Z_)Nsk-jvPJ%L6WQ|WlQ$&YcON|f>ZX~|f7 zJ}&3%2t%hY8uCT-9%4w5t!yP!`uKG2s*()=!v%{fKw~-ux?Va|=3FS_(Eoy$n7slV ze|p*(+gckM1E4^d-Y&LZVo6C+kuWSlBa*uD4gXl85w+!CcMPyfU`*T(1vjqJO1|%U zh=>4SNc0Q@aR_V(wkJZo4{n|tBe8(Ub-$C~;c2*(q0Sl4@^$51j}cYfikhaT4R)lY z(j9UILNki`Jjeu67*niC(lcEH+%78KF9a?X4o4$8q zCi?0WPQezmVVdx|z&L_#+$chi$PY%CcV>3>L;9+w*N}`y6KoM9;~D6V!2)ndN%f|m z_P^@f9qS*;i_8OjkFlYxf3M7DcM3Czqk9>}%;PLnI)+gN&)ifxm|EM~?9mErfYZ#C z_aAGZPxYPTP3AA%VSD&#O>%U!rCWsi3!0`iaFvuW9t%62ckDEw3}e2!8Yl%o~(c`c%9Cj%0<0TdZ!9%whCM*3QQ~X5^E@_sXc#I^Pe{O zSYHo`1{<2&UxU>raB7VfR?fsqy~9bMrmAX*fvIrthekwDi;9UkcID7RAn4^ls;`)5 z*gwX>B()1x>^Ag?b&w!AVssV}KM;445^SZYXe<;&z;s}D^MLvPv!DN0$i{M0hxX)v8|;(Rdv(rAel*RzX=ZAZxpO!AuHgC*NdohpfdfJ4J7)>Rbs zY3Yg{yPjD}C8_Qeif*>03F~D#HlSd?r)YdC$onYvl4?R#@oR^^lBcrTnA~8f#>{(B zrU>I@dg6cT-eX)*k=Wo?dfaMV_CMW65sq5Wngh5duInBZ!;CCI%AyGQAckC5R-V8& zH+}6H2FQ+xZSE$sK?(XYbv29TYR+zdxbSdr8}<|-Nmdw(9k;9wCJW&|!vK#FEK=mB z#iDCW*0OX~;58op{o6(Cb9CaweaLtSWEddW%4Eddy9n6m)J!TV6UJOgh^qyJzThZQ z0s2btu#i8;$g%VL)ZkLNhc}nVZ~PA1$wu@k_*~5g;$ihHegw@b&C$LexH6U@ApcU| z*3GaFpox_*s>5rn%JbOuX zsh|d6obgm4)Fy-?4BDGy0lsZ5fj=R6#1lD=8xV+@C2Dtk#3oye$YX~TC>B^8fv_e{Ny$W_O-fA6y7V4=Tmrb~HFI>&h>7@_&E3=Ciy*)`%^1;(W+D+d!KuMW3y_**&`L8$}yi{#0zERMs&-@hy1{>XKu zWsx;HOU-eY9WZsoL5aIqCHE8FciqYyg(>c0OG8|*xnGMj%_|Trse$W`rPc|yW#rZ7 z+DP1Zl%sBZjWa&A7Y~tJLSi4xgbDFcC4!Jbg6ewkOUNm7Xwp+gR#tY*3v^477B9UM zY_;xp@;iQc=KgsP0_PJ9Cju-%7)wl$)x<9(-4!}kz6!xWb2>2RDD-VJO!l5O58Av+ zNCb*CV-si5@_n9K&XstaJ%;2m17mYfTeuF`^x-c`u}FPZoDYaWel8 ze{b-&uixf**KJoRybwf-*Ab_~=@`(NbbIz#+mYhXJHo|v3unHlbse?zI>8TjvtM%o ze*6Ffv97EyIpVDt11vfntEEUtgI;^`BKT$kixQXJo&yJrkJNy-_uBm(bKQm9YweOWLXVCIkr_x$IEBn69bZpN&&(WKS)K8_~v0hE8ivKg+ z_av4qS5W5aB*&gA_!x(AE_TYcdgfa|yM@C46jcd&`I z+sx}JK|;7CJ)Mu~MOI%jd0|k=?3l+C@_%uJ^a58g&_x1Ded$j7G_fB({OLhzH)J$i z;6OC{4b+~+$mGH1HA1dHo9rUBWtW^O6p8Q?mo%$GxsmtOID5S1esZ!J?6fUm*@hj5 zDG_Z$^ppsjKD*L-A7xC_-w(aLz4?QQRex||08K)tJ32Y3j+g-~$D}=Cyy?{0w7YkY zLn)CBiNNaG+B4DQ8*U26d>ph>WD-Cg7#D~!E%&ha{!G90shj7i8@8ui0$KEPI1zk2 z3IP#FM$zutHBvE=+SyE!mYN#)iL3~oMPz-ro5i!Om^dK&CWD7~tCdqCmTyVS1J}kc zC23DyP^b0r7!U0_f{+RGsO@Z#d4 zZ5#iYI+JJoO;ZwRMAAQmG2n@Sp6cT8E>K{4yxpPI<2874D(PD?Iq@eZkvvcU$B48m{c|`&%44ED;c;rdIv-c%n?l?WaF;-jL$K zaU&}T)xm$b$bco?y!xGFWW<0AQPh>h%ZgcjZ2&nRIRxUM-B2DpSDR5M-U@Q=hXDw2 z2@AKUD<`ZFpbz-GX!J6~_O7I;#2tj}{RYDPjaDYNy4Yi3OpTB4m_sn_KPFC*rq89y zvUT(eR}|_g(m8K9a7}fX+@LL_e$2ZW%EjRk3i$A(M~s*iTN_o%+{b;4o}Ta0hRW43 zM0N|tPJ><@72#9{s&WmABXNhSxLGo`%WXO+MzrskxS%RA7D^RG5p+rUMA_9u<~(xe!gnb44D-gX&G>JG zOFDgV-93gzIdajS_9*_Oky%GjqaZxrfBHm~ayFaY8@1i2V|W3~*riaHdPmB|1=JYdBX?QTWQjxTvMmnvCaZu8qy;H$kJFaE13i#}E!U&337h`r2&VYq??-cRd@$CK|mOadX{g>g_;;g!U$W67} zUqNz6kc=#HzD9Buj-(x{!((F~&_m$?#qDv#)DAuU@b1LjP`1S)0|26DjPBV3%RtG$ zTnK<|&Y+Kh?dm3kw9uRY6c=Wq9;ot(BOD38xS)vKmU6ZpQeD8?G4J04^0}6GmGQLh zY0WOfZ&J=*PC*rj|GY#%wO3pqjkm)5YZ(}y$d@QfJSMw%5msPp=FeN3WK$W-;^q?n z?frYD6{GX5^eosXG_3OZ>I-NvKjL;B=Wyw<%yZpAPTp;FI1}VvV9MF^*47tX`kp@t zSe^ZV`T{!S$Djqh;+i2YC>aeF?X%Hh$M_1|@;HDEcy|gAc?MA1c>L<%#9elN)b<35 zMYJxQ;^JL)gS$8h8#nw8C~EXi`yCGfg-P;GxZja{hddpv$4%Lgd7FFfp+R()7$MD~ z2_6(5xte~=Wo}&dbk$LoOuEs5X9bqbe}a(4QtFZ5+qJXdJD-#>KTFnjx%Z*_Bk21F z87lIW?GG-*UXfxsUYfw~x*qNYM&rwW@e(AFog z`#^h6LWs{lg_#14azxfBPUDa8Qz8POp?4BmOdw2c0!g!8w~t&u+y2cfO{VMn?5To3 zRY((zh35cR1g-q)zoexjW4TS*zp6jzu+t!ZA>%6ef)2DI& zA)$#h;zN|-JAPh|s#?qP@tfy5vZ87&pFcQoFv6xlj;tt_>`R45cDFUuuPs%5%%Rxd z5_%YjZYvfuhGx6qUm?d0CqA|VN9FgF+DqxBZ`b#>Esy$XU{ zHtf!w=&L=h*}fZQ(RX%nA|;M3P6QQY>>FBY>i-u-FBWoysQPespuUb_q`;h+=sgX_ zH;zz1o4WAxNz@2}_l{8D%5g`v9Eb4BtYh}M#d%9c&z@;f3g4<$$Nm|C+8p5FcIc(a z6fhGh66dfxg1r*{6mkxzpXgaKa@wUpN1VZc4-)tMy6#oC2-T#;zYE!&Za8B>2;ao? zGklckX-ycH2&XdegYzj)QT6BHyhPfE?T0(`m@U&!eFFiPa^Pq)EZzj7;)dA->Mqo8 z#Sm_njz%#{zXPm_(wj{tg$7pu@&n#ubs99rYDzI_N$qudGK0;Q$f?0`A-b>v78Zlp zgHI<)Z}yiN2tdTw*q;YN!ym%8o1vl4GR|OWIAQ>`Ce4rW@njeIZks+WxsQNTQ3vb> zRg$aYgrjVx=I>Q`4C+2$|pB_ftG}?K&r6!o|slq%B?nfv35-O&MpaIE{`y5pQD#U!&AZc2rlW zMU05IDV1aXytMyx3~Ui^RkzD@NPz^jZKNm==}WceZtNG|FH0Z1Z-g>1`#N1!vcQ1S zp60m6(jhy_MfA%bUfHNn=MDdO^xVbAB6VY~Z?^tb_DK`OHDz$(YP7}y&|5s|cejai zKG-iYQ{T6p73B4Cw&&)}mb5CjL)%Y|vBt0Wb%&;4(p-@64yAatcgoGj_gitb)S$0+kN%4E0_jTWo&+q%k{m*q* zykGD0bsop@TnF1N+^1g=0)}}B<%11-Hg6EL%4zJwO(<`*owt8-O+{82CbOJ9a^c<7 z8+-?xy1h_JU@{Wgs(Yh4*93gER~bOOuVLVmb;->o$MQx{J)tc(n~$Nn84(|EWaj_KVO9)F zeSygHF|A-tVZC10#tj=LmH(ItK(nZT!~Q*NWpUrlO2d+LqNA) zS-f((hP8nF+Y~&hgKgR9*Bd6)|KUTcgDF<<;!uccLVo&AR_PTX;8Z=P{QpXmx-SA&Hf0=ovg zj1e9t4_`skcQ2f7$imv*ckHOWl-%~YJ*f5g_1+YHf3t_NWecNqAoV4#A<@}wr|CxzrYWz7q#6_XV4%=O z3bWO)?4Fc8uf=$ue`Ix)8DL?XWRBG`J+<|%@JP_g!^3HU#$uH;v-Ach8>!|prMo-2 z)e|<~>c9zqDF23vd4Rh9AJ5~8lT`*+%8BgdDHFo?FL%`^0(?V9pel5;4*=##Xe_El zj8-)cG5?uD&Nfq-bIFAt#XrRWB7<;X)EDc3A}Sm7c{r_$zrX)Ge@P%1TJiS9L14Cl z$8Mvi?RXe=06b@?xcvXip}sTWV*Lr6lLhhbvP|x8-_(^tA}}w2Kl=&<(J956w@*d?Cl+@IV!D9YlcirJ zualU-F$wcry7%H1!2^0QpSIoMxPqWh5}0Yi`juRSC?Xc>y^!?aJz>HiPnyQ%GLVjM z4yh0ZSL;_+mC1*QDq;(ViR-1^gxY>s!*k?cOX+{+*;{Y&Q&pWt4ks*P?Ku6m<95@r zS6+usWbNs&`bTXyd`x>l%9KB)&it2rb}lIY{y!}MTDNfV9M*>(!4HkH(|$iKxBx3A zuq-w_$?&`j`209%@0pE4nCkb5ns z=#U-ywFPB8K->rtKNzM1X>11%q^q`a$g@ zl=~YXOdD)^C&y!pdROn?w~OjHQDjlQ`17K{V59M-z@F#Q=M4Ou?kAu6u_*b{(zzj3 zEbn-uB@eR4)JwA_+L*iSHhCNmO5e59O@EA;_L+W(GDBUdvS4&qy-Zli`-=|sU)iIs zM_>4ORIh}VI!DMzYjs~WF`jqhMXvOK zWJp)PV$d;#!^kqG9wn4$F2Dt4{?16LF#rRI77#DS0bI!>y+J~vVjowh&xX5yE5~2_ zS18O^uMZz%z!$&pa9W6Njxo6uVvCxH;uJ1eQ&39W)N%hc1?$bXs*kuDV1z}{BU*NJ z*>LBg?46(21q>hWKEm*5_jBz_T+2!r)$xDP$uWS?!-o2+jYjVO@%@@xffCo=s|y%n z5bMf|JjwwNDn?bfEp}b9$g}2pc@Z7L@nI^(Lt8dLT#*Lf8Jb;OytPm~=EP(8qYo&2 z6B|aE))xtGAyL+D27xb68YcS0N-ye3-2gmwo@)K^8;Rn|& zem)m$ZXGrOftG2C%kt+_+>sF5wD@dyr0Mu)=%p*i9#31+Hx-4d z028syfUTzp+r|X8?P0j-X}mNv(dTIdK1MP#(dmC$H~30Xa^Pa(v6(xYyEsNZ+^3AO zDBA-k7P`u}2ra_Orc;=};2c1dl~uc5Rd@F*{lAM9l)g89NPIgA1qyao4L~?;2}vONxvkLc0rJ*c@T6cx@59Aup@|Rh|#sD3Km@KPQ&EAN%11R>~l+z!9neJyt4UlU)@)6-raao{)?;V(dOt{E9I z{TDgMuE%?ro&RMPUNzMuT8ksImt@nU#F?S-;+{I4nMVZs1ymqA3Co{#8KYDbKGTLD zNZuAgyA`}t+<93y{nN!G^yIP+k}fzwTgLX#1N2wKL!~zmFIgm2(Ga}{%)8qvu_$d) znVn^!3q|ujSOOxQ2l8v{;lRD1wCPMG0J$W-38zy)^2jm?KAN)PFZUrI23a2VAHQ)x z7E_wYCe}C!AEW!Ks!5RSTk7RQ*kjJp7Sr^|=kXQ9iKK5~nZVx5H07cxr&z`!q>b2>KWg_b84)<|K>1QL3;Np%4x z`dwIIfqXR0{!a6*NG4z8iVovhT!dEecwXYd-N@s4WwQ8HNJ1g}&Ts$%*E@FX6ywdg z-yOdnQ)C)HdYvBmVP9dy@t#+%R{#~*y$-?K-UMaD`g!lCWdU;_o>0lJOlax3Z-e-*fPV(N!@55WbAVeJ!a4WNqkazx~T zO7gAZRyqM!hb($pP_(YU$iGf;*Q-Bt@!2NKiPIHp-o%iO)JL2%*RkuFA=aS>ux>o& zZ5~b7=+e>L!Mpb_`s(i(*-&Gz zeLm+kKigD)mkjdF7jDV$+jlPT_L_G{7w}hnK_r4$vmX)Gc>CX=btA_gRpf`AV+CO4 zO!LqPKq}0K5BnkeJq9B7#tDnd59TU9Z0@c#T2Sk!o53FLGrq0}#n%1M51@2{a2D>FP5Ctb5V}~R=fGP>zQnjVMdX5@ zwqrk1;C~r02+g^>DQ3IGpr1$ToysR0!UGfH!^+nNPB9eZip) zgUkRl2MF9FrphP`Ou*3Sp)mlYVA__Ub}Va29BN<~^7ODg71fs=Z8PL)I1h5@qo6aQ zU%!663ttKZw*N=t!7Nh>8O^=1HC)f3F){Ku3*gGxNOH;H!yEDU;axk2kbCm?!El!i zdsG%uefGSSJH8R7L>=y87qWwMPR*+M{UjiOd1E!weQh zv|(Vo$(xQqIiL)a{CQO-CNNl%TOEr3t3bjE`|WPI_S=YpK<;wPMbXy^`LDHAD5)x} z&PB=EUEUebaxdd4CsK4ewr!1icVSp03R-`#gYC~t0Wn?!nD^*I{-(@nd4XeGf$9G6 z0g=#9!gb9ueCalZG6CNw_sSJqld=o!C#^}UJI z7>}@Jp~n zI{YX5#^A+WT;qSQ1nh(JuJ{h>oXz7-c&A^{8R8lqOblT9hW}-Cc(FokLVW1R{;-;* zw^%gxbSXsXZ2^n+l;7hZe0;GB&*`|IN`tm|_^+M0(CuzsUfzYNEM)M2-RUl@=@aw~ z-8qJ|Ktwtgt{h-fl=Cp?v<44z{kpbxR8UXhZaQ6rcdV`c)f$Rm!y3?g=zjT)U)zR0 zJPn-(&g-)nyH^<*cXlwI(p`90u0>)99N(~nQl$lMiJTf79lca+X-bSOn5WOy7bp_; zORvri6W-iX$D6a|Wo4hSmF{fc9cTyySClUwWm6QamQj|um@W9Fs_pWgHs|7VZ3x&T)}Z#2mvcgv z0V+=InHU_zrnV72yDYn&l8@}A*>BMV;Ul@samjXF^>x9sNWNz2H{ z*C_i)s#NWl&I=zxyRD|BR%P4bBe-_U>}&xTzS{l#VC)Mun1*?0&9}Y~OR=GS{rWW` zn<5}tCxQN_|Nhj7HD3a^4DU4Gk4w3}F}1y}{r8m92SH?G>s0$8_jDKn{9%rS2Rfy| zFGdPrI<8S@F@8We_yY^tx>=vVYlDd>8HpnwK76ogp^6AqT>9tS=HOV(*(Qai1Pb`1Dz_4gs%09G!E~#8UrV{jTre zu%gzyzXfs#hXe)&=9k<6ciqMpe$E*gJFB8sAqjI&ggDIeRk`nX)fLs-lO#7N@;r8o z-h*mb5I?fdd&O=~CIRY$)%Kz139IkLja3L~7S6sRrcuC%kYA9@?ne~dyu7UJ?C0k7 zlQ;#zfj;W7gQE=E#l(yZM5Ra~KM4%OAY`VgX#C&@PCxf0_0$ozHJtq+rDpUALB%uPSD;Nl@jgWGL>67nYB_k1^V7Fi7-kDpkSrgKy~whB+dEH5xvWQ^P5i=iW+PP zyy`6BzUY2jbP8|zrIE5xuZk;4)hV~s@1N0A9yam8$0X@ID32&NV5`)o3V}fKH>N(V z!%Oh$XEUu#DAW|uV`5m`I%eXAj19@%GR3vio0;4y2dz@kuy0PrT8RUAcva?t`N(c8 zwZ}5KlNe>V-@9QFGc0we8DCAMqR?52+pWL-xL>en#LEoy2dQV5BWR`3ak`!~R@;5d z!Wyxqk6-BUO>Qq3aI4s~c{98>XYK8Cdrly$Edg%0_m+hUW^o1gk|#NsBAjxH2D_OBc-y$`?)&vg?|HdxAL3=8%af@<-R09>QitboKMt;aR$H z4r^r1@ydb2173d?;ydkZt=FqK+x$h2A8cG(ujKxgQ&H`!R`;BHo<}j|^7QH974KHl zd~Bie1MQQ3z!Lsw(rlsK03Uw@((v?;$C5Y;yjEP$bsd(d(|M|^#y>N|Voq%^~ zH?k;p{(AN2W`}u_dRh|y@Oh2|k#AH%`EwPdeNQ`aSYnj1>$h&C}p14@0OaFz>hS@uc1$RExWh{UXf>M?BxYXRHL}(jjR?G{BXT+KST(HI zyq*il&hf*N>ziO^kK6Zf8ce{AKB=wo9s)EUJHU&Y;o_}+ZyU>Rww`CPW|2$4gxcEL zN;(fX2~BX%&AnU<^k#)i);wnzT^{twZ=kTGqNe`WdWoYz0?aU;GzJzU&qNt2@#J=habR2ic$Wh*aUp71;Va8=`x=fP*mz___zIZ;hwiZ%YKpf`CW4PL42tolVnP$4zm3;# zamn7+mKVX-tlZr4{L%lBPd>zoqN5kzP(T|vvS?UcT}|MZjg;G-;ELEWmGpeVcw9s? zhGr)&AT7pft%C&WYk%?hl(R$Wl^pK^bS&S#nZmUw2{FpBvv{Ct2@oNO2s-|7iqG@W zZN*{amypL1+9HYOC)1#qAEE*teC=c}F9x{)s0tyG)5ScOS2p(#5qM#^Ekm9>K1aS? zH~wY`mX9RXIqaipeHGXt8>BssZ2|aa%ND;}CMo5ahmOG@j4AM_=b|mJPjq16EiD(k zB2tv}a8 zo=TJ~M~3?#_IYdVwv;3jJTwDn<0`}Vj8Egb@RWmmT}PDNJ7^dh{_^P+NT-TtLUdec zS`#EF7jcb)gplE6ZhT?&5G4S}R8nc~N2?(O0_Gi1X4t7l!gvOaLmL%zLik(0S;W<_?a>qJ%$6#-ayPSbD$gFt>F{t z3Qabe=AZmYrSEq}WkT(rV;f`XmO&(d(c2N|o-&X9QEdNOn)K$yV82fN?E}p-V7E_$ z6xSD#0P_A!9wPQiW2jC^wixm!Pr1+fvqR^+TgV3o-L@_rol-D6L@%Ul2cJ=Vt8jF;Q=yEY|ABmi@K z*;7H6D^?JRDMq6sv}4?9M`s0ZqmllyFxrXlf^W-sTh7c4yzX7m4s1OFBim#4dy(5( z7l&PH@G#Aih$Bj?}D(VuQF<9 z29zg=Aji&>5fbZs3I++32&^AqLA(HF`T`L5=oYphq5|(IOsM(rDU%ir4dhJ00Z4rp zbOlkiWtntbk@kg{f_S`rWY<`q&ze^y`^Q5;N!;9N7^{hQ5w#sXLvn*Lb7*}0^b0<4 z(2Q!kxdK9`QXKphxxd!wCUUK&nx8xJWN=U7u1{~1;||3hGYxw>82ji^=F3{`>`469 zch4Qhn>qQ7CbK7n>CiTsIF666G`_3e=kR~|bf=G5pj!}k#r`Lc%V#1YMDLAUt%J$$ zLfT42_h9L37 z2-tRBx~*6iOoYHV*uWOc~FOVt9n0M2?+`C)5M7e$Fv~C zr>Z&G$8;B-GevHEf&j(@urBT&@|>AayC0NKK5wo*ty!#|D(`B}O7uEJmJU_$+!bGD zBKm@R=$U>Fpxt<%)%k?1%dHpzFi!Z@n0|$wI6QoW6LpWN*HOM_oWWBHDZUKY@&}=% zeJ2R|g6kwC9xo#Fc3*}|0ajlqY>u2LiT%uF{JN~WfGfdFJG*_V{5R;>ccX=n!WFM9 z5lJH8x}lpNpZJ;qT*O$J`t`qUyVJl+TL(*SJa21Y_3ardfgOSyp9Pw_x&?ud9wuC{G z{Zj6A$?l5tbh~#GN%y*@6#0g|cCJEiu-0jLf}|3o^BDSZLSQWxt+rn0RqRsOK}q19 zZ!v1KOMX#KOb#hMe5MdhX$k@c|_!wxz6-0McmwLf}0A$eyOO_ zF+!JiIF7u(_UiG_@^lcK0hnNL0G~82L{RE^l7OAaLsD}=;om*68+3<}p1i>E`oa%g z4$s_oifkP|@ko&*Ru;&n6;_$ZO?-UBoSncArMCO zs`s3Nr)JlQ8=fuaT{&0y+2Z@MTSaFdld>7@@dCEy9djpB^%kM@L@RsRD!;#!t-^ji|4vzVRwLbx1p|5*+LG_%5c0rey zj(lCGhjB9;hKB?f7i4a{p2s}Hta4ayZ$|IFTpEL)jdq&=>~z7K@Sf=x+w*Y@D9Fiu zMUps)A|PfJ#2o5)yIhv}{!o!UB<})UF=yqQ!)*hnSI2a6?);IbGsuOz9;@gqwkeFrYT zVZy|M>W8=ySdKJ0a$;LQiu(+}oW=8=CB_PJbCNxGiBcRq^ddo2lY@EQvi{wU^W`bOpjO3aYYD7`x@Sf zto4sSS~+Fi90L}JAq3=@)~%k)pd&xObmk$75d=qG;}KUYv{Zt4z6r^szYyOmhe;k0 zy3R}uRMz8S{DvjW)IX=XCDG$(oqI^6GAI3eX|Jf0*a2)a5{|rhKC{av!D&W$Mnuv% zC&Iamq-~j+envPpj8=$03PH^v#t`+wv}DU9?bxQ4mgt4_3q^Wt`gR?sOO1gtqZcy8 zNEYMeCpx*38}^N#A%PCe1j&&$%9zejP250?^nfIyXuTH3KLudgjQ;gm9{q$IP5_BR zw4oURw2Zczj;(cw=yn^U1x6vs)RD_6iH+mA_giNX4cX6Yk0g~|<`vPbvpE#R60n0Y z?678K$HC>5l~;T#P&<-1)b+86*OBK51!&zxDOLoXp^&3rAd!A3obCLuAxT1dHMCao z`#TR7Q4Y7B|BLBXl&=#y=iwI``KC2Aw=#hp{&RzHOL#S(YV)9t7zOE^f_~ZIp!M~zI=15*x|Or-(5p`l{GKYav4@1FJ)%PV*^2nF#{BuACL}; zC$Ch0zkJo4aaQEJ`h8a0rCiaOb1K&&4@w3K8us-b_eu9(I5Gb|P9pE`eOuvu8QMw) zx5t&aczN0R_zD#l`3{Z8`3?Ska%)cfqXt*{D|a!JY}`)JrYB?1^7Wq|W!d@y#4(6J zw`mW;OPWdZd-Vd|cakM(G1HAllF7uR?&2gle2XRV`XR1*$y#73Yo7iA0i+&yPF8&z z?yK>BW^sfb`Q8IyHB!-PmVrFX8n!Idvlv)tGjSAs`}XZg|MZ&LS{h_Hm0TMbdnsv=BHlAIiVxjj6Bq88F?y6{qasbWQ+xF%nWRWzh zdyU*~!dNs5vkwWY2hf8ctjO(g2m-0J5zbs1f8vvV0_W+26(P9mCJpjOaM=Z(UMp7p$K*MWxA_!f%b^lKgh@Es zhnC_dct;Xm`va5ZGl-c<;4SO|@WWy`85}p2n5pPbIdS4EanWBS)Bx#iV;U8*R~7UH z;-%$Cm~inGW391FC*IU+Ct#jN&y0RhYpMispvQm6dnrIfgv*%wp7Z#L6-TwC>#qSn zJk`FOxg-})62$R`htV(v(xNoF=(d;(k};mp#L!RHVCY>J8)2+xu0nPp7G7#$hhd*U z<%qv5Zr()f*=SY=a3zjHQ$T<39FzM{sJegw+4Vuc4dM?o;eEi8@26GK*)pXPohfmN zfUai4b`DUt5UF1?sH3B}2|9>CYYK0+)ZW=*`*p+RnnK-Or6J6eTZ*g|H>I;sdDD|O zMD@Pxtu4)=jm6(Ylpoaa&eHd0H19k_v+>j^Dy?7IVgdE$Vdc?Np|%tYRH-b}9N*-_ z7o|?hneKo9`|!qx93|n!+&OluS$__=KD57}V#9xVpH?i+qd@pzyvl3oyuL3jX{}P$ z`{&;lYQ?<0)$MqEStx`fhy{^tCg9gm;gNqc+%ZcyWbz7#0gaqXDQdT26BUhxJiGQj zBaaFVEOp@!R)(-otjPnuEQZWy&X4TN&I)+^bHnE}rTtBM?iR;CR3z8*;)^v}wJDpe z-G3bt{<(GA4^&Uv%SK2*I*MUXiF)_&s-gS43lK;n8KnNpO#HXz%hTA4&A(?R5N9VM z=EO4&Y$L2pU5XKJ@MwPj{^z?`RcouOCr+NiJc7&%htg)!$-^}^X2--LDEnIJhmIi+Qo5F#>u%R$rqtG8brD@{c1B*E+_<{<2f5RtY)AsdQ9-QU zw`h+t|9We0 zoPBg`EKfl4(o}ae#5>J{X7Y24C{`l?=0^!QAH9c;u3_WJ@cOroE#jjcv~~!oeQw*O z{>g0-AJ@Z>|JgmEN!k+5?t1)-fZFo9|B`f0qL7Yp=G?LYa7$aBvGK9oYv<7NgHIa7 z!BqX5yG=qXN&p_JNDA5d-k7UDBAz^9M(gtiI1!ndgzvqQM|i-a(_W{D0TGVcg3VX0 ziLM2=G?YVl#%>2h=yvU@f)cFBbEaJO)<1jfMXMh0aBF2rV~DJO_ig}kscSYpT4dk^ z{9O$OGXpSXptcgC(D8q{LKU(od4h0)c$BmtyTK+bFv{{EU z**o96{5vZLpX*D*nZZ+Q0UVq&>s45CBFrdNhQ_BmW>Hc}=owB}t-0VeSpB2b=x7=! zzR*Bx{m&lmAD^+CkdaXdx(Q-cMY@zNB2ux8+|4kzVuM9157)w<+tdg7D|*g%$*fP0 zxz_OXQ?Y3G7=-HrM$?Q)hhrOqdv}N52k<)WyjO9BlKeHSpFtE0em2rt(IV?~Xf`x8 zImftv_BO#%g9e;Ml!x1K8RMAT@%@GY$Y)oHH%xN;UC8RsIwg11N`IE%bJ{Fly?cbD1gcri}bm;xmk`L zRdZxMxM$C>!x~-#5-S0ql~k1#)VvFU4ZknN$zo8tdkWo=N*=zl^yjxj%{PSc|_T#73J*f*an7^+t8VZ?S$wcE-Qai7!LpP)M0>m zVZZAa%fGmNz0ShH0&D>`hX$`|GgR}FNa(Xf{S^JbTjSaK4`Je`DMl&P+-47Y;-$U;&pamx{R<(Gp#Xx66_xcR6 zN@Rfl8!Fall%;N3gijeF)`!$#&2Snp$I9JPco8xf!nlK20B=XvNvInqm2to@q@!hA z04dJq(RpBHkf&G^#Xq-6)tg9Z%)3-bR*6S)l>?CwaV==zB=hI5X+L%BCfn;^=7}veElKw^Cvv*3bs9wJ8#fwnkIdSx%x*$nQp$u z?adF4EeGMzc&z+E;r9n;&h*kUUapY9xrd;h1j181jO;h=dZs^JuEGT(Z0J&e`s;TL z4YPr-SPNVy+)xFP{rC_En9TPWAI0RKj!=Q3&ypMb{Q0wb*UTD?h3UXlU-_%Ju|pyv zj}RH&5G^1OFgCv6ksjqV>_=8+Sg45s0d||6BfIB`X^x1IwWtlU+rK|>;$UNw8J0PQ zHWZ#;c{jI{fHx3wG(VpVbpxnL;||XrM1Dazy`!!#-z=cvP8k$kBohoSKUkqACKPb8 zyNa(Q$cui~i0JxIbd_ysfQv3zMwy%Jh9Q<;E31sBXCd*x%FIN-3}BA3o^L3Ux-unx z@wu?(l>odx4gC;Z0kt7?~SDAd$E``*Xg5N&B@Nv#aYoA*c-83(8fym1@F!s7G{`&RnK}5t`4Ha=V zV~OOC=fR+VF83^MIIOXgVl(w*K}I!bnatm}Q6-5U1V?4)bt3RtAWHA-RwBq-aCUE()uTr;i#>pC7*`X3?-aq&X1-Rm@U} zzwj<_Sv0s<1OIFMDT>wSt7JuMSUbo;_ zsexL8KSgPRTg-lksKt^Xyv@Ubu)^afDz{ubF=@WqHWW!-u zewrK9gSSSq%rCo2$tac`7UtL{aX+k{a`u4MGbK|l$EEX_!n=NGrux^nOEU*Z@rSGI zb2q=3M&FVbAbs*U^$c3JC^rKEi<^6%)-3gAWmGq*OnT18l`#w*y>>7WBURV*}zg8^MT0X=+Zg*2D&X`AY2q0pC zl@Bggd8JM=G#Hgd@Bwntw9eM&rHl4^h)Cf1Rt152Ki8E9vAD(X$o7Mj`SvUaF(nA! zEw~0$r_T&3DsF1QmB05OsKfW0S=L&4e4YLaTfM;Tw*cUN#Y5t5F{k32Y3e?c{s}uD z@^yL1A|aHS^o`$;@|`7CFDB;%gpTW}_5|bpj}f;i%8h1(pKA#^a9wkq1Rim!Nqq{e zC7N6UPb=t}+BM9HP46Lg@<`|#jQPOSk#E>@$AOtw7@UQW+a6u_Y1~O!s8->e&`N*Y zA$RjW>kHi~{P&o|V<4AoyiY{~ECO}F<0rp<$3lh-PUEK|UTol_BWS0(I4lg13sGd# z9@bwDDU&+_LgJz>yfMvx1_>|*Gq$By=aNIwgftq}1TAgveJv*Eb} zEa`^0roJ(vNvU&kGk<&yh!5FW*P z+P!Fh%z)IaBLfj6*Md-5Bl48QI)b)gN9+lj$)nJgbv+@RcH}j0jJ`|^Su_4*96?B| z6@NI5obQyL<6O#%#Z-TFb;;JWD@Zn}_8@LIOG{I5xVrgCSw2Vh-D}G+hz4RjkH4mx zqkjy0Iu#=Rkaac6;!rjvOrPV(RD#Am_TXMz`ugM4&MW8FVKRnvaX6)L zy}cp>%hh%a1!8(1FNjJ_v?l&JQnoPmWE)l2|Bud< zm2j^8^Vui}$Y(9y;Nd|%UOJMH0PVdMmPy$ds5l+OkH$Ry%1p&5^@O9E+AfrJ0<83u zTx@)5SEMhetZWJ2z;$4FS$2;ZcCz-2Q+g!HjB#1GGg*+JrV`|p#%()t`gA;`m8YKW z1vTrzpyOeypQ9bU)PtHzlALVEKDE%*Q_z=;?^aNmO^#M!+k05LQZvUOY&9&JeoRs+G9xtOzU@9S%Wl*Ez% zoM6txIFm2?(>U4miBC}=`|_3d5)LoodSfw@k{cqxyVK}!F^HV9pREeGJmrma#t$igU0{|2(ixD)MIsC+OK7w|9eANE(-KGW@-kk4+G10 zgd72UZ>i7=6C7mtng9cTBMYyQhX80F6oEA5#|?0nkN^i*TOK%nDJ&=;eLc|LbhxI8 zpG$4`@H|&=ft;PnsdEUZz(Zq4owmRZ8Uhnt|MfM194536bC4Qd1>oO)Tt06ij9F&m zuU{5!_KaUbk4+sQayG!dTq$DPF_u>01=7+zH z?V-Ofq4G~?#Z05N(Iv`dTyKf8S8c>zFc$j_c&D; zeW_{#c!mmtokjv@@9uFWx`fT6Oy6$zhZv{}%!#H#S2*Wt@zYnlp=XmiMV)a>#WU%R z8MN*Ag*(PQ$i2%(Wz(5EHPGg8BE%IcK*E9Hh0oN@XMt7U!m#lA6IG!jhdc{F_!0H+}WWzBJ_#0ci)Cv%uue$l>a_XL}T%kCt{T?#9iux-`XB; zG|Dy+GHiMzlrCKd(@VJVONcSC_Oi~V2!zGgw%GS3M>5Q}8;a+p%vqS5|M+m0+B%nZ z_ionxlr#Qd!zI1lzvP>3#`$x8ncFJb@=00+{fjxGhAI!%1|sn288Wv+USLgIv~dzd zM7w1mrh#<&xoo#WynC^NHQV#j?$K+aoOw$Ch{Tk4|Ek)2kWA>{$A!y_#mYx}Zr#Cl zCvpjqNuZR$Fcd;3U}7^)%h1hP^nbvF3w?_@qn^d*avC63@ddfEDu@sES5V;t`(gS1 zVHLQMt)I7TQfE~DHyrpG#A=oE1>KjeF1t7IBG;(uvi=)9jCi+ZRgYR5hNWmegLCNq z52UQKAMIMN3dv@Gw@h{~*NW+i3l9S;QCY;K&`=PocoaY+M$3pNUVHsY`b&H?taoevaB#x@s`d+#$eGijh$#I*}{dmEPN+^eXN0G!4O z&^a9dHJoFFh=%2sL~@}ZD`atIhlPUw_Sqlt}6O*o}P4l`!nVTqq}&Gn70?X zxU8e}{gJqZr)&4s#~Wx$o0q=1bDJc^sy=Sktd5o_Q$3jSk3@K_yX}mMK4mf%O5iul zXI8(v$M12)mn-IlhGKlt9KOt7{)q%amh~;qdUtc`0}aE`Cl9OC1iRjE`u0}%H&xM? z@^&Ye?uR~08(bD_Iky5nZ-oAMU96eEy3U2bR_k2h`8_>_cRJLMW%OMpSxs|GRJ80r zCJS5Cp+yT=AmY_!BuW0TKPZ5a2oX=v6)2&x0mOU$5!*u;F4Tuls3OIeKO*y{PN3)@ zf5}oCDPMa9me`^6RAW$q|3FSb!3>6ba;;+G2a%>ECA9$${}Ny|P&oM@q$s!1Kl!2~ zw{RIdA-J8?#xu#jEGV*(y%?^M*8$vy1l+o>qb_;>L>vOj)s_CWQ;a4U;z`DzXTG2uhHU=CpAQCrx)7$GC>AqABN8na+os=&rb zo;th)TIv+?Eet?CP`;P()aivR@75i<*TCwwD14>Qa0j33t&aSNPNht>>)6SFmb(rL z0TkG%d-LeLzad%Q1VSSI#*`Gm^5pU2-^_l2$L(l+BfKM0jP+}X%Vi&1J_cVLUg7~q zyFK_KJiV2vXid!OKk&v{@EB>Dc);lx8p)Ji+~*OD`;kl|m6r5ea$Y5eky!*g zy+3;H0w}ei6@{Lo?DzLtR&sIsWB0R@`*pS5 zXn!!&-kFx#9(i=}M1dZA{7CD}?Y8d}t@>M%4<%}Hs217p(r&FE74BTtdOxsDfYjgg}be7y}xz#)@G(7PfQI2;cSs??m z(V$+U-C0F%tz@CUHL_HBy~G`^KhpcMYgq4x)?ZCLI{Yg+x9}O`8Xz$4D|H2ya1-I1 z+Ye>!p9lDMMa#~@vZS5bZ&&drFYs4%l+~7P+su)e_CDrVFz5?p;5MLVATBYCASB8P zi@3U;%?u6>3I$iWoXSmA?h1WO60=~ybC>?#hS=Q2y@LW%|NtD z4^brtW@ZF92AZ0h$nKxA)!!2ZthgU5>OysW*j7(S50Y|N(x z&N6pLk?iZz($bk$?;v6T<5)>_0_Z}mAax&|LH=Cw$INp_K2!2dmrYG;@28`vIzv;%0Q)+*Jh{!Dm%Ai`58&a+Zu|LNY(d>g z$ERT!L#iciKe)(Dj>lrmm)b3Zivx}=cKkgD)+an}gD>EkF! zD!q!V&I$3XgUKJqR8R9YDXHzw*Uuq7UEIS&q@_1OXB(f;EY`MW3+83lh7B7~^(1#v zkT(FAqWI>s@gX79q|3ui3SqOha@H}o9|P*KpEX$Oqw)Mdm0UB!ksCGXDN2V(={od~ z6q`4b9T^ZyjN?wqjGlrTy$0)l9zMK-ydKc7qewYwk9Y!lp8O`@<`EZE4Fv`MLvf@c zo%faQq&quq-v2BXC^I11EF>fLhHVaJl36LoRletG)Jtjs4%~zMH>gk9(7c0EB0*{^ z`R^i;CCcj)0y%V9;={rpi%ZJ*UiJ3jEUMG+Il;fzY}oPW&Fyj3o5cmTY`hS}ux__S9H04Tyhqsj9(%9918LuH(toUG+B2w!$@ z|5?8;_a&PAbTEbJdb_uI9C828fVZ|CZy#$w5KKT`%AKCr+6&71B7_idho3ahj}~68 z91$Zgwc+ECh;HbYq^vzxIc-%;S$tYcMnP!IWnf|^r6NJ zmtR`fB~<&Ut_6boAyy{bz9e-K-zia=t#V3%NL6pS73SjyX*JDPR3;bj!% zBuO>FHcd#{GXC^Nu4-dPAg{_-D&*=73`ZL;x_PlR%zv)%ksy9X%#RM|-H1!s$YEer zEW*f@2*tlp+V4%>1$l?EvUqJ#LAu}XI263md=47`OGzjev%?)K`|25vw!;T+L6Y?u{;p3cwE$t zu{oe03tq9d^R?`$aS}9+Ie|baI~pUL+wf+@U!RlPJmt>!!oK(W>|04a>^(jYZkEiq zpzrOshXBANog!&oL4KU<@ky1z{rhp;2@NHA2Se&IVEcv?q3Fa)ieziS%*P~?gP%4QoCP|SG<`39U>?icM$_XJL(^itJO{IQi% zDR)I^#MPUsS+C}1C^N6o=+E793p;CQ5##1hCABs8V%koGE+F<%30qtm1K+d~ZMFAb zkMBvBdDa-ip;TfB5v1Z$Ya zWpxC;#^K}7qwn%4OQ@i+@U9C^dWU(i%WRDLQ%Y;Frorh(ntKCsE`q##!5usns7bL3{Fg9a~ zq6As8Bfhc0ws|@}F?HeYcECQH-vD)C8sEVqZq#7&%t#&g>(J%6@bGFNfb~sHk>UrQ ze^HfdPEIK}96vCAtWEG4<>t-V)1vj93^X)vpi7ifQHc&`8yOufM9?WPO{&jjK9RpI za~q1GU55IS2c`!Oj?K{0Lf8+`t0RsAZ3~^rD<<_fC#gW#x1ffJWo@=T*y?;5Z{u}= z&HwW{@oQ)ADeQXxFSq32SrP3l{!&W*KIQT4A2IX8XcE$HQ)5%~U(K$?6|YO=ayWkX zOZ0^xOW<}6f^}#Th@&mq>jA;?NgC0R1DCTCj3xux8#S#tnGo0vUJxwY@^1y_nePW6 zCgL)7t=~DAwHkTuH)M8AE;_*M+!-@_znJxN1SOq^bjxBe_g^kf@sXg6(J1aVEu}I< zpnsTRt^b$4I)+%-x3#q(ACkX2MuhKdW*1rG#WV_IUmB$DOvU&Lee~EZK(AV;=YmT% zE7B*F?^)>(QBu=!qt@XaQc%(`sK-Tz7}XT$TG_%j(nHY;yU7raPfYmsc;@;$(lowX zh!p$8ctrKPS5jM<%C-;YhOuj!Bz*|7p?FZ~e419p6coMLB1hDuy=nPM-%E?hs;$RI!_h611Zx;O6oClh+>;y;z^{e6%z<5sc6XA}iQEjm29!F%UAC4)zj>jN zsAd30<2e&{v93PnIdXfD^*sw+ib;`vU~sVGc)k-b6`%=2Yby&AqtEWE3p8Aangj~3 z)iK{K<6ce%p5uw1kxo7AP};gPIr8b4i#uGJB;0o$R&1GK350TIkuEQ{T?u?2(fT6O z6u~v>ECSJ<3u2R4_UQ8NMh}W_*X6nVI;LS;b63{Ezem1ggCFDpwSzykCb=0RJ|N&`5?*{qYhh3jQqTmGC zNWNG1`yb#*W8x?Dp`0bb`IXw2*h15xxgv`SLE@6lAn0XM^o?|N$6PiT3U1Tc^=J8( z@PGJRH(4wG%l&;^iN6GmteQE#9r{*Ut3S)jw<-2gxw;L7?Go8AcJxUy|M1Bg=huT` zugBcaTFJZ1N4d4oI&CTA6drhKH6q+)c6v z>uY5&c|(B0Qoyz{73Wt_u=tF#UMBHupj18`$aV|j3F&D)-G^q){<0`v%1}Ap3xOi9 z)jeE7)O}D+0h1lgzqZ$wWuSE{NQ=Q~IlI&3m0A{kh7e;6Uiw+LB~urt;bhSgq?9+C zfsRYS)2f6JJAmvW`@;MkBzqvpB8qHq-?jtra3bk|JhII*JbX>+!%svI3aPAY62cio z6lPiLuUcP)_#m3{H_jA6GD>?xgfk>S*<>=jk8mbPhaQhwFi|DW?IM#b{nb7`48K}a zA3Hmv!CG}0w5)DgFcPO`vn+fB?C_-FC=i@?{gJoHshbG8-=!0yng@w4S@cG`F93f-@#@((` zM-EWnS<b$TA*8tRP(C6(>{;SalHH=#H}RPv*) zvii-z@GC7_7BcjM;$JP&f0zyWu*GNF?u*0TQdED%$Mvl%X552}^3u`Npb*D{GAh9E z(C0piCVK40lHl~4eks4s;Jqqb5My%&0Rz$9aR!doFk`U`Yeka zz{Z0cuo}cFSocw+X@2-AKhc^Rd_d~*@mK}~eE>PB>FnH#-BM>(Q7TT+=PR+xQt!0h zABX}@Rt0yB=|lX0SskHLC(!%9?B#Zl2X6R-VKOQ6}7dPcH(A1$1=4gQ&90Vc4RAall0#>dn&19&*&$=N_k~swzpWNfqAZPmApGbukhX zhYhskYDPM{WxSCtoW4RMldt(@@+`G@iXbbNu*YD>!I{1*;K%?mCxd9QKRd|Q@RF(M z$Ly?{`+WmmI^?hzeEY5U%w)aE)|%%_taKD->;=>hlA_qfybAX7&Ex!)EnSg(oH@oYNNgjxgTDWGRZyX`?-y9Pv5(%38|u4tCPXH7 zSnp4Lt6_a;YTl(GwP)IhC-(V0?bt<%`fAqzw?LMsKiPfHA1EJ_VGcZC`qn%xNS6Na zv}p!?UG_JDZM1{*Y|}%q7WCh_bh7@KQt}m1|Rh$ADJm! z0aECjx&bt3?#PcjZnuv^InD$+`x{M#&8LStiLwHE`xG#HOzuSt+bG?c2j2&)V*Fld zfG{sHfT`6mPwLh`@L(yXX6x<)JXt*~Gz*eo$aw8{bfXuM?mDosQLDznQgzi}zfJQw>ngGmoY zmuNHH-O@7iqD4Ut@8E@ft6!-ZZefp7aeWHH8vZ|`z5|@=y^Z^il07p*Wbc`fB-t|~ z35l$dgisj`nc1={2~k8DEecu5XizFeB8rmCqJ;PJJuCw3KfWvNJ@-hvr$O=EcQZIIMrWPGu!aj93_Z_QB<2(0 zCe+6zUH4}iX;?KfcUXny|HbqKvBUxE;`rxmH!^r;GGHR0x!)RAP*5PQ7Mvx!_r>8I z8z2?JW`;8Q_%vlyU&3`;b;HqfRuGkV|X=H^@a;b@>ikjPt##Il|G zCaPbO#pCWN`OSx2F||o3-He)Ac+pMYh}|wgdQ@&}u6XRN&jy{YMP*i3ZreV!bWQd$ z(l}NWzerCq-)q5l*1iChaOt9wMUJ z>l_k|X0wc`9OXvFor7cl<1a!k!j1cAs$t~fp}ZO6L%V>&fv5Z6t2omW8

Bo5+}~@#L@HDE6`!z~T(DlF7uv(!~7$qXFPQvIr`e z=aY}?G4j3xY-esf)GR|x3sAtotz*^~QzuSXg)U}gpjITwSr#KnMUMpG8Ndy;W#Vna z4{V9qQBICIwkYxks5aC-!i;NmUtn4y}AE?Hx$K(v3{X>2T`b%+pI(5n-a^47KqrYKZT|D zV;9cP?5)PpG-H)yp{0;a^_yi z=MXVh@Uet?!Qwlqdd1fB;Aqt`gaFSL05%z7PU4va8Yxc5k)8CpvNq+OvgNiaPlqNtbxG6Wi%4p_Zk;3jW{M5qyU zmFj|vt!>fa`N|uRv4Xr$2Svhx@hUgh9isKXtOYcm4pnZ^2dV3k4noEmqA!9-pfGpz z=?0ta$Sm7kY9kIR(dqUo?je;k{}yf1Rjt0yEyE8Zu;WZFzAI+d2)t-%u#oPL;|QxT zs0{G~&)frU5WM+L2+-qRws_wo*a}Y5CfKq`^ox%g>g)~Jr+Szlu!sS_PCxYy=O51& zxB+zp3{2G^4J{PAUbP1*d3A3RM8FriM1TzOH!DCu5Gx}od(f@MK{Istr>M5};58MK zIKIhx26^s;mR}0=;LD293SPPtjk#6XoB~@%e8&E*)Lt2efpHpN|HP?2(O*$L-#lz!qMov#Ot{MhLvaNd!c25OLVub zt?l;?I7rHjmMb>D^jy654Cm-q;)v{jkn-Q`!T?OcGv&_C%e(#FPkKw(e&Og_M}8@K z3UBb2G!`6zP3_M0GYy-I#A4Enf)0yXoG3>gNUP&pn3T}PG5YU#fy0I7Gd8X2wY9m& z0CT_R{J7s{`ypd?F3mL#v^(`Zt^{X&`)sXJV<6f&cUISI#nQ`!)!Qarhv|d_?MCY1 z#n%_T>!h_Bjdb^Yu({~OfMKpfjLPS9eSQfVtnFOB?N^prx$ENksw>lD{CoSYHc-{< zI;R&>H?UFPT3=3~VN4sL70jKjjb*1C6c6Vl%r=$e-dg~ugpe7Q-+8AUhYtZ)7Bo5p zLF;)`I2|-g#GUc?G59F}i&$Sq2uXAb{S;T&j%r3gCF@bk%a57=YIbOk_N$ zw#O@@-w=5tU8f;V(O|yyU@S>}@IPeVYri~vvFM4uV4%t52{2_?KauxR8Uq+GZAha(5H)iGy#LMmfhOk2*Qo9~tv=&w?rpp>1 zJb2w`@X+mfcc8UMwK0m*a=w=+|9ja1%oGU(F*4jPpRu%?Z*qWLK)@Ux){WoPF?uNm zDwO__U(hYye)#z3-5&^E`WcxqwFC(5zru347HNmsM|ZzZUj6ZR0SOsiudg%X#?3sN zo_6Y?UdSp7(l!o1_Nubi`tBmeEoUDt6_54y;@U4WMu>2aumF*U7{GQ`sTz{$7iROP1G+MGs18>NCV&jNNoI##QMw4{ZWng9Nc@i|>n_GzbsF~J%8 z)?d@hm%hKicT4O_XGe2e#^YOa4>=>0Z6Y_7pGQ9&i{!~2^-Rt`*bFM|r|MI96i=R0 zQJ$7Lq-~~|UV6$abJXDZ|J1iEokfb!>Avk9=HIch`hMwWrPS@!iOrA9_7}x5#Iv!l zH;C(dq>OBj);=Y}Yi-W%9PVxwwm$Z5jKA$i_C|XZw(aWe%an?jqAj9(HPM_EvfB6T z`IYzYKRQI`d|LVul6Sh#6O%6n!p2^J+aEinE$Ld02|ni&6ZJzwHG93cpc)4#>W_uW z@!Q_YDjfE)c)=7;2a=l=@#Oh)W(XFgsb@@5g&w#k_otR;IgPWBF z=Lf(u+BHFFnzjFqiz2#)L**h9PH%&Q2PN)0%B%7*3+_1cY@Zc-O#kce&(Sv}eBck4 zI$UNe6T&U^^#hq`RoT3DY2{isS9Zl> znt@YYFuSv}vwvWq9>RqT7>|90?kEYN)6C%KVW?=q>LCm`=Kk<5Ti_`|02z;~g%c!S zxJ_v*Bv>xeJ$#3(IVn7qloM4c{>&Rn7{X3HzpFFx_)U35yiScP)obd8l87~{3HPMB_51Ncb#uIWxT$dPx29b+ zDo1vG)VI_nU4PZuJIxHT<%`)fvtP_U&mC5v%CaR0{ON%AEzxKw*1kW8uHxWAsa+ZJ zH^O0Xg<61hbQPp5ZNG%LIQ!+bF|K6XCL%>J;U=wBn}vnN>*K>MfUFE{vjBL0F$nf2 zGa7)vQ^wx}AwQZ-x4H8HLS4jqa`u>jII%$-p=Qh4y{h#BtettFQRck z*VNWFwYAYQwdhEsBgT}N;oD$e>hL%XEpH)%MCh@*g+G`m+e12}rN0Dh1^IIxpmo#7 zj~nry-~}luv0?ini;?!vM=}ju&F9UhPeOp$FmP2d_sW$fB__l>kQiGHP0h49lspkh zNzY})6HCkI@+a)&Y#)nkvfJUb6{V%I?K>c#NK^ z5hKJP`A{wWSN-6@Q&2QIU+LqZdV-E$? z3ZTy!c~6T>lPjrgu=Ld}AM>~+J}GY}6h3_1_vTTe5gNSjHp*;KhaQ!r6GL_NOg1G> zH8E*HCNqAl?DB;R=Wyk^g6uuO8*?`nYQYVD@EtL)FXM7J;aYEKWJDs)=~!4|A|q)w zFkZQG1u<_V<^40RTjh|I@VvSeybdy>j&Kw9)gC6rS7;iASml`CsYfHwZ93WYrVw7@ zm4$tQ^zT~#Dyd7Xfj_g{Y}~-YeGz#GZ2bJPe+w(#Bajs*Aey@Dz+QYHDer!F`OJ)9WTr9`oXK*6(^Meqs_+ zHyYs02Te^RANCmaSSss#A$(tuskwP8^a5nsoK&VMkqrZ2h(sn^f^(a5mOdjnIB}!` zH;3?U4dy5KgLr^WhYjlK;D3wCwlZAE8J`*N5%n3Y+kmMut++#nr>0Wyp05E{l#-Qg z!NDH9q#!H1x&K7&<2yXpS{;gpP8PMSy}y`yn4y9}WbYN%gqJyN!7cPDsR?>NID>T` zQ~u0<+dX(+t}D%;iO>JvyR&Tul@BF}Z4l}d`?o>%%|F<_OEj6(WIzY|*$6jot z{LOrfmEZ9=31exe`jPiJ>`C^i3@a8@8!9a4Zx4{^UszyYkpRc;;@|IgRuqtwg!~~~|pTwkM z*Pk3UP(ODCuo!W^N{+q(Ny#KJHopSp;9=FWJ5CD3?C14XG`kIl4S6_-PboxY-b$UH zpHD&Igt?X+phr7?0~buMo7x+F>y|ts=g#9gr0JGCej!c1UgWRJyrfuDzp`~!1VO6o^vyoFbP=BlbJ`!IR2(Ad;C6MQd>D!jI{075L@o3U!p!Q;dOC` zFo81vuA+Oh^-ZB0%4k+-v8Odo{Ky$!K!6B1SwrZc#V7r+7t%7H3B(xJR^;_mkyva*cWZH5!p z8WP}=FY+`fMpex?*XT4SJqe6**~-57~$s;;4(1R1Qiq2xQR06ctIgR1w63@)wDkZmb#SJ@YOXzHFln-9MUN? zdSroPW@PuKj+@dj+r>N9`O_=Z*VkjiQzMu4+0`9FX!1$sgsZ!IB%*sOlUi$B*vQ5OB0HbrU=X)8CEhKyG(f-?YrrqRLOvD0R3)Oy$v}*uiMTCLH5c;L;*L zwR@DUp70&$t~9 zXuQuYwaiIy1BoCb6J&kVl`9)9EwE2q1Zx>}sw<`^B78Z00}iur^<-o0x8)#srdOl) z8KNVM9wIqwaQyy@7cWS?(J_XX%PW48s{ZB7gwtH+aly>BuFI5|Ns|Yq{vs^XFCET9 zel*kk6kbTc4$Sv4=b;(xnEnEgLN)<`MErjYH%vB)%E-#%C_EP_-ia|NiiM-Ez3&09 z)kF7tY<}E2^61vjuX19`Y7gl}>o)Cc$U*$fK9+ue9l<*MOf(F>9dvQ*kwBzVYsqkS>wO`#0JfTYRzS`pw%k zPQT=3XDOE;KYPqGboclDl+@MJK~=LjyARy+s%&P6Fm<(sDx4W<-q5}s03t*tEE4fK zrEPEi-0W;Oz!i?0d;$VKZx^1CN(-YI?b4OP%!Cc<7jNcEK1JPEa(9H6W_tl=7wtcp z{Q6iTN0(b9G4n5biG(Eg({!=(7uZZUF=$?Vm zn-Cvs`I)wyys{;sN-aS9!aJvbxGweJv#RX)NlUGi+MM2>D^osy5G zW`=_X`;C_lOwFe^GqvoaD|NglV{-FB@QfSLtc^Fo@{|Jh>#_#_j61_lm%V5*ns7HK z`fh_#tZ>bj7q9!aypUF`t#SjmK%18v^uG1OKKtM3!mrUU`5ZkOa-X)jDngL+u<D81)(mu3)2P=$1ciJ&Xzrnhxn#%$0AV!K{cDy)VKl9G@~g|2DxtYsd==_ zwD^@z|FKV!g_NI_Mv9AkAJsUEYm&0hADT;zcN;BW;v3&YL&MY8%xK!{?$o{JjTQf{ z!Zk+5o-lfz5r`MKYnS4)^qQsx^hjKQg^YvKEdmD(}v~lUsL2A3mt-i z2odmtDi;&k5-SoqwNg4Gax^Xa@^qu+nE&P$M`(|Mg0NWysG~L={sUMMK(uJQQ?prt zqdkSuUS6seQKoy;j=ry63(lp^Y85~&QlFbfr)riNPm5EXX?6~rv`D|8OG;D}EGSSm z{|$3@FSN~ZbW%|p1cob$L`s#5<~Ct_ZaH#6@2vwz5nb(i420twJW3B%|s&C>O%Fh_&l9UuL^mGCS3FTcpRx`jE*^B72U zjz84nOSzEw8hEB8CbpuMLljv&k#RJ1b#+DJ_(UTQQO*!XHcjv##=;2lxQ;PA*kRy& z5+>h~w!tgkg`%z_41ht0_n8;fQz!tWq@|l+eA$%Vp@gX{#GL1U@}y*cwOj%ed;eu- zul$ijdlC)1BiRZis39(?`}xjjS^MbATKQ# zw;Tx1fv2B`(eg8N`u1=tJCsji1w@D3fz*{Ryus!6z6UHjRu)ACHf|*O#Q<>lv}n#i z8cSj>@e!thCF|h;)|S6(9(3~L*qd5juP-NAudDg!N1PQB;d%Q0@ig11ZEGbjGXL1H zuf$>FY>;QW!G_O$0s<|Y7xNkZDm8c|f7dF^ref<{bYm`)4BmQNb=^gC!@RQrR>x#~ z%`QCop0X^FCt1!$bz|rrso7(P)`kNN(3W%m|yjKI z@Ne8e6mzzRsZq9nn;Y%mbgp0K>1D_Y7S`Oh%^gEcB=*<@1y4`Wp%&P87LK?9ugHb=|jLrZag^wABLrVCU6{9H^x=?GQ8?Rx|H<2inWq=D1 z%|A0Dof04+TdSs~21hR!G<-)Y^B_0?_Zc~iv z3(3D-$RLn&_IpL{8)1{(=fl1WIN279I_y4g@#FNG#B%pG+^lNgY^Z7Y5 zzS1||#8XAwzQEQZA3fTJS!GdZhfOb)yy`G-l`sg`7G^$q=Bv-!bRSnpv)cD<60pnZ2Uokd&Ah<#>y>tD1Jhz_;c7^`V&=m-i_ReLn)dC(bPl zU5M?NUO~bCxvZi=1a=ji0#5zLV|fG9}P(JOm1`@+Gz_CCaev)VAti5*Cb0Kx}l^xDC}K`WU|0`Uh#*{Pj?04m+$Qi>(1AEz4g4fDQ6)N-TzLVe_S$iM-vl#7*e34p#YPrkc< z|2_$EN8TK=L|HDH$86Yq(AKN=``cRy`1tuqR{8z=H(@JB4IThtVS^6|b)6=&<)%{H?97m-?OY5iS$1MDo#Ytfu zw~p2QrmNPkFSI&%9aPyl-Ne_P$0sJM^QI|a};e##<{aO zckXO9@x@SC4^`1RE<5{~Pqf=RIAYG#%K$VaU?sB2gj`O|tc5Bg5^ZaKU7Y|9Rs!9@ zj}wbNeXiOY`~<)Ey$|83oMzJ!x#gI|rdMiPh? z{7ss=^z=Z@-Z?<)hK`PWu#$x%xCqoF9oPp@c~4Lp_5k{F<2k^fS|#_4>E$q}%+Y^Q z!$$?o-^lNe!OEKLl|l*J$O&7uA>mud7e?9(h%y$qok%@`Qe(P9@@hW7utL_RG^>Ao~SE^YcK7 zHzA7f&>k`(EuC|XuZwEYyr*!6skrq`%;8C`JbTM70iTrs-9Yi$P_rfi;lp~&Go3`C zX4q9~Q>vf-yN7<+d5`=FFjm#9s9N#+D(4gw6iA#6LF2IFjO8JF~qd!133B$k9&Ii6iyi72>7tO?*wM2 zX>r`Wdv`qu6r4i3s07*9uWwB#TAX<*6!LU#e!dlFZ2O_)^#R9^8z74u=GX$evJjb_ zp^5dFUGc4J{`d-V8B&jqN2fzTxoO7^A>go{o}Q#$C3r%E3#JZKoVsota4ERgOBGjV zG>#BbuT^Zf&-(HvNw=U8IyWoua*)(qL(J;vHiagRB<#)+AWyZ$iVON*XZt)Sj@Os?)mPsha# zG0J8u$H%*y#(&X|r_a*!2!IiQ3*lhu=cDgY{H%=2Sr>gVD8 z$Vlrru`4V5jxOm{Oc-RjAg9%V>6(%=uYPuq|GP7oXKS!kmP{pVAHrXIHPyzfCsWRH zR|pF84FA|TdQITUpgB?Ib9T~K$>Tb=A|qZ!Sg_xn-_DiinT$}bgr;qWaTm$>ZMY&Dx0$Ax^*b%v8y zB`?nm3KHcE7BGU!p2BE@ZTpg8=EhwVwkxN-RQU>P?p9TmvQ_lMQw|>B(l6Iho!AP# zt_B6#;llJ(0i|eQSr^R(^uv5Gy_z)Bz@ZHvq@W2#9^1j$oZK6V2L@t^2!}#pWo3=* z_R+DFv$uKBJVFFabuaM&Pzy>-EMxI&rC6{qwWQJuS*T&h7D7BJF_EzCzG<;8m>_mc zwGDa%fzHL=gz1G`7dZ;aSd?fPq*^X&z$Vn9POvi%xKD-SyhteF!Ycu!@f@~NuPCIX zrG>{y`~c#09v~=;zi+%2Hz#4E45L@zS$^SkrJe=3-Ijxac~`IZ769TI`ExFyNG=vL zvtsAh7Td%@zd|Hxg-eAz>T;!JxJ%*1Xn4`5pMLJ^smri8hm6))i33IO?LLT28vJ)& z8e&N@G*W6kL$&{*BS&OAI`wn(FDN|1dCVJg4yd`Vt}X#^uf;tdKemhR#pd2uzlZ+* zoO-x_3>+^Tz;e&=ZZ>&cJ)rtY9N3j(W#FgKZcBz*pvn@_+)uj9emDrXQ^l@lK02t zWXRRIxjD!hd{jgrBi=Sz4?d-HKR9YwzT8mc*C`LumfZiQ}{~lOQ+NJ)qSNsUhNTjK&ItG)lxe=#0qzrf4gl{`YbE6jK|VY zi2g#nTe-WtHH*BV)UxvPTJ|3sYDZOiQX`w_JShjas?*XO*tW#Rn(vbPMUEdngpkL> zX#*Xr*Oh!lIHMO&a^2QPQNX?(ZJH zouz%3zXbx4cCkV{d^mlW;Kj`E@j5S~ghB<~@>3p{Q%$15Qy(9#%krGT^_I4Zj8qpb zPtFC7m|pF(D*~`d64%-^xFO8_-dXmB;|mIWEk!3^l+AUCuT*P(jG^}+2Zt4yW?*Te z*o(k8`I2a1U4+(+=8pwJAiWIz!>35Lxmo*{7}hrc#*8iA>^KE0z0pC4U(r#$I43P@1i_KqmO6NbHh@o`Xdsy^@XB#K>Rs427MvXo|79C zjeT6`eawiv@t0=av>A6kqC!}pF;LFa3W)&C*Ym8q*+jmp8uRj4UPeT0TR}ZL^Y2e! zp)o=>K1VZLzkb~f;@;6a<`SZlP0}q;9meDK#VlSPWLWAzxuwdNB=!E0+Y^S!)nl%| zaCKtdz3^)GhwLXh?|uO}oQ9r_qwv$)x7@e^2r__AuJ|KE57VUlh9e>$JW#LtHk1~I zx?!eMlH1pZ1vd;{gydC}ji;fDrA8XM@ai3qvM2|FM?3IOy7$;7rvfZ6t+Ejsr&Hwe zB=2q8SNvoGx6iJh^vnNG3s5+52)6?5 zq%_mf8};`*JI?8tmo!V`@}Hy9Gv3k3yn-I zU}kdXn<_WDnc@c{`UAtw4R5Bxq!^rH+IM)i+#0qG5jlz%5OsX;-( zHixSPsS0aTgm&E5XnKQ7Co${7oXr;QU$%~p@xb5s_M8cPj9ANt_kSxrcHRY%AY~W* zmI<^T7(iZtLGkEZMKDx%pkKpZEzT{k2hghOKD*mOd(JU;7PLtG*0$~by#1->qRux- z>pMsIHcr+nz28cwS=raDt)tx;w=rt^k0WCH@RbGjGH={f^>w*YmZ3wcdH?v;t8@86 zH=M=kZ*p-l$u=E{=33(y^&i%=vP!*ur`EC0Q6)P{`Vu4#d!guXN1aHSZ-@kAZvf91 zNf!eDr^G}91ZVHwy?4EOsIk$w_H-RvQwC?PMen8<0Bi0z2*xp<0Av>ALc-}C=V!41 zLkSv@lFz>T05nBuvB3&IW>E#@AQJ^0I-RgRx;%(k&&^$rj(pn@Bs;udu)1$3PISe`ILP%{=&E-QwU}PM$8Diop6ePxqF8+ z@V034{ZdeXc1!E`(_f);WT zGQ{THQ)~g#LG<(dAI}0?7T!^_GN;Mr=nC;Fh%^=u;51WOun|O||EOE~`N*RmGWii= zwzvXU%{Hcgdp`~g1TX9Oob$%bsc%9OZV|~uK0c(=YPG%?g-$-=;5|2{tYiyxSWnTr zgshsGnTbxpl}tf-2m*O3{z!J)axD4XbsS_t-0rD@lyy}vkhclJbvEl?MH=lTLywFdc2f? zXw1GJ9L!U1;O6EQk&vK81dfQe`-gpY66pnKdFswHWqJ0%I7hMrg16KBJ?0LPg%_kP z$wE7lAxm(>&16;frf#Xw-?{|JbG#U$1rkpGM`9EsEA%tr(%s&U1$&~Bl9Eb3+uX7n z!QR)G@7RC!>Y2aN6=(5&?RyWJXc%T^Wr-kY9oyaz0Jk;b8DIH1WNoqf_iD`)w4xnh z!;Ac&5MfDkh4$Bjzsh*MW~aVH`i6NE-zGZ^wPRLN>lcyf8~j*#OY&X`jV{g)w{>M| zKIK%mh3@fRf~NH4)g49^T<&T znZB6#w9C#bnl8wW)mgTDXnN|#mH+DP$23N{$5Ovn9eNgcnT33=PqNYxAc?JaAe(5g z8xPC%LivVfgDg;ewf9 zC@l`nYQR;m5j4&gel~5_w;;{5{G(t6#hmubVDFK?qD&~X z*M`B``nc4sm=Rq&mvuqBDim^EfJ>!N1h$=ELd7J>NDTmU=%`uQubR2>*Ed*!MEF!% zYSuZPN3T-&Gbkvi6^S1t`}0~qiqj4I>!{^~E_Zfz8qdDRT27nxD0o*@>v5X2;XtAq zl@dF;mvQ8@ynXxjz$=+Vx%^3945A^^c%4_XyS^M;)~6y1iOi7rW6n99t0}cB6j;KsT*t;WaL-JAFBK4Nw%bKDqz^QsiW1WjT``5-BejRK+u| z)_aLui7BRkizHG5`4A0cJs&`uK`uDTa-j~GG$e4wqBRx~7mqH{EY8|LJ|X>f9lVLm zwy#xN>p~BApZNl)p7s;eXH+Q9RTdxj2C^l40>TTP9i^W-OJtt(9q;#c|CT4&M}Ncv zm&$RrKor-pT04_1_yEa*FScb>?jS?sPoBlhU!dbjR2QT?eF~eBM%r{&@F9)_x!hHh z$&Rv>saX=P*AeF$@WUCziZd@kbSHX?q_ksbeT<>c0yqKPUlev2q^D_#JOCVZLEHw% ze*v}R3Zw5hrlWL9gc3*o^w<$Z^foBV-4D+G~&Ujjas7 zqTOPr#^R!4QBa~k`Juwtkb2gN(KPWO-vNa%F1bdtOGlpYQ!|#iy+v!>_E>j1px`hn zb`-PtF}OIIj}n!NdShvi+}bN!@@Q|d?FXnxY_yTxrvhPr7fpX2Z^gl|Grij_-TRWN zeT{!XhtC(v*=jHI9{t#x2^L;d(<&z}cir{5?Tb4l95=}bx@N@65HS{^NSwD4AQ|-E zW$|pva%62)tACp@3m@SYplKokN8M?_#QQSL0|NtFaE#3Wm*L&hizpK}=$5s9Wvo{W zzLa{6eh_d`(9eO3MznFl;4?^C4trfd?Z8kUia0~O^0>|{8Y9QYH@#Z{_yhC$`sWp2 zOSNa$G!m8wXATY%ZGN}+Jt;*+9&y@n4^OTOJ{RuaA&CwZpHQa@<8+7fPGWoVw>bzE zPbQJfEr9>3Cet7m7DktGGCbck2+H4he_Ye6Dx%F7TLX0g^788+76o1>?h3)-UGL7Z z!6j}xDgMJRw<6fhP2{fQt)>WwoHvcO!zMffB5?%hyT89bvGsJru84x*nNFrj`rjaq z>(HuTPldbk-YHsRp}@0#eLnE0;6Jm)Qp3-ZSaB?2Oa?1cgF1Kh^QN>`Z#ShA8!z)u zA-Ul{qsvxbCKN#gr?QmKL&y{cZ(|JPM#!eXDJ-rmO(~!L8)P!F^+2fdI|x_8rMM#d zs>YQsJFCjb%Rd1|?>{?g@@mTKlS63&gX(xuXn3AJYOKuvZWnbQGaX*HVYi7QBJe1>E0RX{OtJgzo=+ZNTGffw+$i!tSuJFsR08;q4Jo+aTA4 z`2*~z-`l{w5ScP5`^6rXK;O+RDXzK}+#ak>oZwelQ9{C8kcdWc2o_SE2fiPfzP?6+ z%TwIxWJEU1z-cSZ25Wji*NliyaMCP1JF#(tR4jMBfOpI870bJ{j6-&R%>LQ_V@l~= z?UPnIV72Gqx^0FmTY}nqvW5#3SXtkMEV^`T4(`efwscrG)fdKI-FLxy2t|9J-TIWk zvr7XEPhDQLMN@TiJ6q|V>kp1QB-N;(CV1^4Etea=aO-}LVY`)tTMkj!iLt&v);w}qRwai0~TxxiuOu~VPHmj)7WCk zbT{oD5F+j?yU(1_Mtw&jlSryOI41SV?EFdARte@@UDog-F`1zAHda z4sD6!`CSsoXOao}_G&F4FI3m#(9Xg&M&RVdrKP#vSRz$^c!11x$@5&>qU3+#L>nT7 zh=LY@Z@gma7=|qhCa%5f#S0dkVdzH1Il~-7^p|EC9+$a1*2cHRM3Vm$V6Y=#--u%% zz!57}TqVj^Ob*aYn=iSf?NTl!Mo#(7VOd{4&Z|0QBn$T-pol%b)_zj z#UfgMEa;F#rchlheef(^SO99mf6C>WAu}Y=8_)imS%=)I#;)7WxU+la@|P}ktJ?x( zHKA4m)nzTqtDIvqZ?CD=qfequ;HivVT9``s9TwxN&(+kd+-b|PxfCK4XyoAHh;Y26 zwyDf3r5h}Q2$VGh!hi9i4TlAhWTO@0wYTi)|EeSeHA(_i_$>O`M|KEg}l zgm6^6AIsM@^jV=B&7y&{x$>H^0) z1OVsu(0R5=7pQ_D?bQR$4}}E*c>v+@_k|j-eNZzW^(JNGX@M1XS&xa%N~tL|?y-+e zqQ?cjJ2xtue@n^qz2#ry$m6px9%ZqoU$olW=$~!9?AzK0Pk3+qEh+OijK9x&gz=~Q zi5FYM4zCPTJ=E-tkQddXp7*G-TJJwKxE&4PVhfi-r2%`d)Zc9#A3TfP)tBfr>9g3f zh7_tR@X{Qj0 zlSZOZ(hj(z{Dso(+?HoexVTf!?Hcb!hhvh?Exictx(6sF;wu@?Lb(EsQH)>1pP1DB zXgr<}^XBe`S0H7Dr;LPMPb|g?9uQ^`5oraI(312z6D9ow|>y zzJ;8dlMMCRuMy~2U3q=zyWihl8`*rMUAuNhA}weu4i4kRL2PX0;OPUADljdjhf!al zdud+_-7c9)nBK~Nh1t>Pm1*Rz?keApn&x?07x$_a-0ZNqs;T+U4#JjorvWQl%QCXy zZX%o%r;+<{(e#dB(_7$g(-~}}SI*|vuc1H;Cjcl$ZHb=}r8GT1ALXPF>!hH*Nms)x z1&ss0R5^C3yhKY)12-?PSFbL>SezydXb78;?_jV#1Z9T$xKWS`*m7YLUsYH}k#*2} z;8W0kpwi~Ei-zwqtvoa6M3T!8Zr-VTkGWfd$m6u8=eL ziaPZzj7zQCoxk)6oR{3q!Y$FbpgtpN>gxDOoAdiAg{Lpl-0D3waqEGS?|{bO!dJQd z&vusQ$!(k}j&PnvfOIodHSG;Vdg=V>)c%}mssiErn|8)lUQVzbYFmV4X_Km|?W?W+ zj2Ckk>WXi==$!pD_CvfzrPD)2aHk*-&!Oo@Ac#SDe)0;iSfVR)ou zMz{UnoCv6X(IT{KtoXU%qm#Ogodw$RCj=)rwH!^E@FM})MQbF0FI3*`@e!^r zeSitaU>=7;8d(jUJ|Z=wh69OYf9D`GrGAU8rx@E_nM|lwqCm|6jeTawMbUvIMagea z3!w)*rp2?FUC0gJ1^}t#u4AvAM!|jE9fRAg#@rlM_OBoBozB=cBzhy%%YE<0ME2!! z0j5)2yQcSO6jWSO6f6m>x~3#(sk%1j%F?>)c88AC#SIny-(nQ)Ah} zYqUo9lixQlM%h6o`?83446<}G=1rGzbhx;D+N(B+9`GrKvWZKZ3=WEQAZB2~Hh3P32XneL$TxHZ%3Q5q=j${*%$$Wo2bM zf6oFQ0jo?=%44#i)0Dku&v6@pMY=x`?6f~f=x%6lZv5z;i7bU!rP3T;ue8@WZkH9* zubeVw0uC`$TKw$26(Gs%I-ZzRvptVDMB0>&UdWkui>;lb6un_S5aOb??vhf*OOA;Se7j1WWkP?6H zHjVEqMJEbJ7sDAyk06KUfH0Y~h482%$*8fq+^bM2c|5J_OCQFPTF2ge<4r_BXo9vZ zCPCSMw75;4VAhV3#paOusGklpvDggui`Tt8~jw)^wVtE#3Lmm(V?F zdx3on?4Wc#4b!Qx$3#>k6BGIw4+VL71Hk+^`~gR?-bH}1&&!Zb>d-QdWL{K@|CgZlR2DQl&Qe zG1&4;`llbh#gwC)12@rAkIJ1qD(BLW`#|VYFa$QOkVG*j8>CpkBTagIj7~}hn2hpe z?l#rKvjL;`*Sn0x)82TCsUZ@CABS*e1cMw@9$H!3*~I|tbBEFt*cj3J5jh}QcL*vA zn!DbilBN7T#9!JRj;+nczb26JMMXUD{*8#H1<9!Vr+kw>ic$g}ATRdvU162A*pxOr zJJtS{RBrq7KIiI5#%+F)y;tU%F~Ai;)!p94EIY8zwdR$Och-~62>V=x zH%k@jf0s1y4rxVLe%6+%jYNt1h~yPejt?c4nkzN9U25S>UgUhA^VGS8tB$f1?>)GF zz3bMnb^miZNSf;2q+ZW#exvofuS{c8+4PTu|PZ8!lW8bASR+Ct4~P zFiKCQtDXw`$Pn0iFq{QYHV}-ozJB}vmEQtLJpfEuYs*eJE-|BsAhJFB45TtW%R0ZN zD{Y;nnH7e1Bk_S>=+rb70mFe0y5qb>JN6XK;tY~;XXq>d1xhdhS=`M3_C>WEnOom3 z4d|Ur#PE7|dm|i`ROqO2)>I4Kb0mENTvyg23BLzbjdTL?xisAdTWvUgc6$pe?0&G- z-tj@uRqLu|J?VSPWL$B$_+jb{x zwBblJDdjg?s$So{uzz=6l&V+R8uwOUHI^Mq@y3;gQtS~;>-R|=pk*w&{18OgG%iQgm^k_NeJz0X=)-Ko6R|? zSE2cUaboPx$Acao=hKd;+Gj=MCV1&v4h1mLN)Coj$VV=bZRfy?FzG^*&qav~^KP^! z&4+mp`T3=wu@sh)C{=8Xs4^M4iuVAqRUVt^C68sIMRT-oL-t=PIBToSHjA{EIfu3fUtt0Ku2K*~%j( zCI+7?MN03<_i-4k>Rv)}TNAc$yF~pKl-&eqURn9dT>~R$VkqP5IL|#YnGQnUC=aXI zMu&!oUxsZiMFdlz4De8*|EFyqLbHxF zcf}w1|*#Hv(@UDb3>B=cF@DI~XBJxU?v3#>M0hsU1W{Pf&>* z!zlE~Ft@{pON&Z`U{iv`u<*Wa+@VXla$S!Zx0JPb-S|5`<>hSQ!=$3bTRyLMG@3(p z*1f7~T6n&K25^wV3uv|%ID}Ks8wuZX&PJ|4=672W?x7) zR%4M&jq*)Ycg)w!IJmxEv+}&2f87zWXO3O^?@msmpF9~&$b!gj0b$qj4^EtV2=v3YLH5j5>+HhRiwrCsV*cvRRPxs zkxp5}DCB_)GUsSL_1tUA?NTvS0YR-`9peH-j>b7^cCTc$eZMFXh%)cF;9feknAv*I zOm*oLp7DnF=m!SX0_;o8%S(nUvl+arTvy@$cli0~?m+6sou^~HCyDwhJ*UCXp-^Nq z?WIu;QJ&~j8}+Q;p3?b}H8yh6aMqLL5N-b5zONaCrN{hORL_Y&;mNq%N*yX<{Or|E z(?VT7uKjzn?jJH(unu=whbu_U_|+B&IIl%b!bD5}LwK}M4RMcdO@VL{fOd-4wI+De z88RhyM~~#17DH6r_Q4(NWVD`8!NQdJ$>E8K1U!himEZ9Dz{N^WslSO~O&1FLdoaXD zg8t1IBwe)EMy_@14nYk^``r~jr^(Z-<0h_Gb{*0&hR;C|^F9?QrlCAcrP+} zeD14-;D#ga?vVs^RaMP6uS9%OoeQ9frrSSa1JGoiFfjTS_kJICB!GqX64QBnf32&5 z#Qi`RgAM%PfTJ_k*UzS2egJ1P`>Vjt3~ADB)z#O>rO4$kaI(|XXB0@@v%PJ@kTew?sbBTPX~Jh0}>B>r;_vMQcO*D z`*Cn&MpW<`OYZQxL%jzC3Zke3l%%4$-eps=v1q!uYc9w|B=djKvz zebg7SLRcRRv>97gsHSz-9ge=k3-JXRAgz6N;p54|eiLDuZ$(;etZg=~H+{baXo^(BULb&K{Qt@dAh8lX6O_OzC20GSkmXmu{a*JX?YpWlz#qsnq3hkT$yBn`( z+G_wR^h^SVDzff5?s+)O&Q^$-iAjuJ*VD25PH)}QabAPScz+#oo<*c05UCHJz-BSAH4M?z#Bc1V5c;qB-aW48 zMvVs2fG_k73}#kb*iY=p3g=e@b%b7^lH_UUC{e-fU$XCk0-1eKx4N=Kq6vt?3s3qQ zIN!>uswTjy%5c?ao%xqDAX_Y#w~xX1YVH*y+!wGxL}4oz0Hh^iLPBICRMZth^H%T3 ze&=|;`y!pk(RX6r$QpuNz@kI)nn`96Kp|e_W|CF-^Ws3Cg!tAfWq(HXvl)j(EcQiQ zzc09GC4Dqck!$1R_MWFr>kP{Iti?k!Z|8*OJxUf5W%aGp;|ZQ?NHI|RT77m%WqxpB zr@xWX&1QB6Ed%W{ErI{q+uRwKDE#l2`kJ)$Rr7{fs;y|{{|!f6H{YVs!YwV;O#Pd7 z<*9Zw?P_Z5o1yR*C2N_3q{17XKM#rCXWcQhzHas2f6z_c{fO){i-b;weE+ZM(gwhY zSQo|zdm#jOTrcvU1$Zg{&0b6Z2$_u92+<9ZN@xQ!O^@rqKC={;oNp^?VJjB%E#hKA zH&PdOsqz%8ZNrl;asnyN`5!Rq4=FnoIQAkZQFxI@k`WK}x$5_&HiNCGY~mzB-5j!{ zT2QrkP9JcxKHilHvsRCnUUh z;iSGE&?l6#WYmvhr#>8Ky06~7d*|~w-9|n93wEj3@dYr@(**To4*ZCvMJfSp#eMgm zji0GKGc`OcEM1kq)&Dee_aQYj)jSqTm=H?j>V=vcK~JN9@~YhU@g1MKubi~2qrtn( z;>kanr!#2BI%L+OwB%WSyz2(1#Tny;F9d%o(VqPAgQ%t9P8J0GpBD53T?zH#pW;AQfh$H$G9YS0k1DN?aB-=9iXWXswhK_ik<{6 z0w)u%>APe$xZFR>`}gEuU54dJOkOJNKOqcGOBy&jo6ralN&u*o0I(Pp?*}l3Mq|bv ziNis#KRub3Knd-qcePE}ceJDr2dCCT`RkrrUw- z`8ULT>$R2*T1Ki%Ji9j0AM;U=*qk&>d%FME0q+r}%aB66v$%iw$&uzu9?yaKIGZ(H zPEXfsK8#}+;gf$HqyNC1(P26QF%7fsV0mS8{3^HC%bs_?6xYt@T?QE(Q&uK>@I`JM z$rotOL-sLY^+?cTi8zK)GpD8X6!_ui*7x;w|QAn$m$5u1QAE*S;+2G2*ykMD|-_x@K^-ze2K#m4B)Pq{>V zoezV)MWFE`x#ji`e6JKmIl?^{RY$#e`l7@w(Ei6jNv1b^paj!juL;fkpbg9iYj*Uc zoA8nVU{5Q2LJ$ik-*-UujFml`@z%|wyqo1ICjJ$+dg$u5znVD%O-t3vfr0a{ ztmq0(dZQ~wH+g zWFxzrOhG#2>%%6Kakx8SKk|};d}e?D=HAct%KILKMiTusm=OsdUd(vH?f=8pf53Cy z_kH8|S4s#GmDR9Hva^d2GNMQ_%E(A4p)#^EDj5}_M0OF9k*$ofchg8jQOSy|%J2E^ zIL`CD@BjV39_MvlkLx&!@Avb0kJszDUT)|_JuY6n>rJ(Ik+_10ehN`*iD9oHjh67N z1gB#O`4*Y}jZgE~ZA6da_00G1EFTTv-KbB)kBX58Pe5I;#U#($1*wO`je@>npP?Ze zIc0FICd1MMnVZ0r^*D;J?y>>bF3n&(+0qAyPy7f`RR9*XQMU0VbRUB+5AG#h9ue2U ziN!*4$T2ZzHBc4wyQ^WdT($MyE?7N|7^dJJM!y^r?NOHYnNrk_gMZq7t^H zUqxhPO*lMGmTNe?YB%cKj>(`txo02MQ(I@AO^cdr?(b50`jV*En3?s`7aYp}_`2#V z#i;eqh&c>E+a^s{if!6F2Z)Gc)+CA^pOu7^ddqyKI{8<@pnOGF>{!W-Ac~GBuBZ=| ze({k<9=x=IPRkxM(e&A&Yy{3muG z{C@2&AJg8*wo1P`D`jPN#??wIF$sqgA&NiWNyizV2+QMNsgoj67par7ZQBLEly{Gd zw;Hjjg)kbjF{c%jkIdEg%e!Ar=w1=ZJh8B+eNX#X%N@6V`H_~Ir$6pZpwXj_7(z0@ zRa|<9>aRvcu@aSP_f;jUE*bfgNoT(}LQ=`tW|rz4eBrih59PA}3v17N^iss7I1lLh zEX>x(CxgKIBg!`tA~p$Kz{{1=fSp8)0;D%5|FK6OhGza6aJTt#F z@JJl;i*q01mt=zvMGT?BS3@yKyrw8)^ml*%{=E}5?!(`Xj*g*-0?{$*JtX&5Sc~>l z>r`3lJ3)EN>DbeBO1KSs9K~dH|BI zI>ZR;JmU&-D}7vW81go3XIB_OtXV-Uc7f9#*wL~?VxGK~BRIn;f=F+kGiP-cHb5OI?1NF%Re+PQ| z#n#9%kSLhdxBixP`e+|&=A14Im`XQ@EX!&P4kx0j5q&eqQSXv6QoxV)H7dRsk7L(@ zBGhUTIFW~7E8{)2or{YLBgFWS?gAAtgxHTpCuEl2TQ<&X`p8P3=`)tmH$Ao0d!ZOJ z{0gEvT)D5{!>5442Fn(pnk;zp$UWc`H1#eee#=S_gktXeWk73OznwFvZvUmuR_D&r|4LapRi>?d@QZDIh2)-%4d1y_} z*?_AlyubAMvlFW=Zz%@Ry`lI>MU>usmEVRZi^uaSTObC&d_8O~0)7!^3<* z-?imgvO9}acc;z#p|Absx?)-(Qng%H;54gfF$P2yH2w^xdovvK1Ss-q_`)SP7#T(r zj^M3rl&|s#a;xP&eZ*~%=CQZv-B4gZcxW~T+DPMI#5rCIoq1Rc>o()4uKq%{!LJk` zgJAEu!f%jKdw-|MF8F&qGU;-DGnSPS_CWfx;PTMRS93u~MrcqG4GZwY04(^BZ6@~_ z$;AdYhRoZ@RqXl<;gNLdMA#ECZ^=n_c* z7{r`vhFLD%k-P?<;4W2X^4$>-7Zlk&3bL3RnV zc{gxfDjzgYNo;(Y3&@|n!Y~t2-qFWc4PH$YK-dt-%uBywP(n6YaM^pq)BT6bG7(C2 zE56v@^TQB#eKLC7l)Smg$tv{ZggNF6+4)wMOmbeyvl4$>R&M))!M35#pSNiXmjDT4 zR(cZt=UqVu0pwX@R;N_hITgk`Bv3dRs_&g~t zAvVRdMIw8^p%QG68H8h;Tp_sZKcZ_uG+|0-+8I*l<-xkY~(Ss6in> z^v8Grgij&$zNp31Fla)tZ}ny>H!?F@9=a}W6?*qB7ZedL2yY|iQ;01C@T9OJ;RU{e z)k4(S+oBR^qmDKT$gmde{3KkY@gdH7^;({wZS<1&-GvH!4HIfICgAo@wS__Bi}9+} ztGPr7+)oU<2sbC_;p<96SV^&X$xnrya4XDHkWOa~UuV)8ukCv}n0HR}t`2785UB!$ zEh#YH&8&6+kR@T)!cKxcL6S)C6w+ena5!TaBN3EEJx^PPa@PtTB9H*k#i&AIO5$a> z6}{MqWdZukus1un`Q+apl5hF46JAsBh?`;ewcmE$dPpA2qtP*2V*i@COMN;5I*XZ; z$2KSoLSL8}^_CsTg|ytZSq8e)6XD^jm-k?niq@%^8u9~h#1btrjJ6bHSHT7+Cof-( zbSDJdq(pGZS869m6yY_R`0X8jJhOD~U{d}5CHf~>B7-0SX(H*=7s_czkJdCaX0QLW z)bei4q1CHbfAtuVW5NO#e&cRpHC&h_@_RGVLz5)WA+hYHw@lb1zrsIs?r z#c-39<5}Qg@Gv9;d!^Bzth4{{RFSATk#crm#-PDqK34CKP_xwaQ2GxMujT~A5{(kv zo}W$|+`2i5`_}D7>9oZX0jkwZsU_|MYmV~su6cITqokHe<`AfxmrkcPYS5_|M@rKK zUg3K&ui=0Q{^LLICM2AWUMUV}W9CZ8vuA!Gzw>M`UWF!5U*;5&WXZC`dJav|Y?iEO z^*7Jo$KL7?hF-F3qY(7BDZ~EhR@a#amu-Ns$AoRZwR0^6+`@Ad&o<4DPfSrc^FjLO zuXLj1EZg=8L+Lrcno}?Dca9<*yqJ@}Sco3I0Khb?5?1xtAI3cg(aTGTp8#zfc{B5~ zGHr6FHSEUuU3Qp9C)K2cs9Ob2s&79rXQ$vX;7WKWFItb1@>+4OI)Zy)Zf_Sj**^15Au-q6Zh^Q6DSX6)r?2J zI8apz9Z@>L(~McY*ASRa0zZL4N(&aFvd=coTLIz4bD#uP`l{`ayrnj7!zmgDh!e?q z)hW?}7?@p!ZA2zG6Q}96=G_Vkahvq-B3zarHc+&|&laJd$-l$*&%#NvsfkTTKx6gH zv-h4?G9}1ZG-0zMhM{=x&X;ZZv8n2V4!-nHJi?;p4m0I0B0!&20=@T$UN^l0{~@;t=O4j>VE zq^C44S`$%`!V&D=op%p}BX8fPp$JH!dp#d(H8=i#A7(ms-z=g` z&QDpVGU@t$Qimw17o6-}|d(5hGmixGR3|@%s}$ez)NH zJ^c$9v=|KDw8;5`o*xC14IrwtgtH-qwjF{;ldh0DowWceNZu3_3mUypy;noe{Y4rk zhQICS($CX3-OzrmhU0S{2FL*j_|Smfd1Wo40|Bc3N_$}9h-vsT0-%Gq3hZ$T0P3Xp zsFu|DIJN%46w?SnNn}MmBETtmxv;O`FSy_*69Ljz)m*__&u^P4OtcU^>ba0g>3iXR z>)0R}!_!)h3uJH=SlKlRIKBbb240%NO_*medKr_I=b?t`Yg(^l&50~YUB0_;2b)R0%a zZZ9<|c034J!Q+le?u7!4OktSr1F<)WmWR@@-vNo%9F);@BXj*1*Y3VB#(bO=VYiUI zb@3aMK#}8K4x)(llxmFZTTZQ!bf$mWTC*Go7WJk5I$gNQa3AR0E70(p@`ffI%C7q% zk+P?Ig0Kl2W7g8q?J(GFFl+p6vwuqK?#+<(9p#5dlNqhh%A~cIyUX3hNJI$U&Bi4x ze$;%nd?vv=}xd7Wn2F5+8&jCslNR5z#7@M+ae-u4c!M9IHu{-+6$;g6TXR{GIRHciXqHf*d zzq3@$?#)(WXil^*1@U!QN)&(L$inJa{v)m z+?8QOqaFk}1P2S5Vhnjb;tu(C?9lqT2sj3YJp5K z43?Ca*P;^xnnxtcICPF?Q)r&*hHF^={3;Ky9jQ3A@82JHWyn2N8h~?=o&RSf@ce4v z-;k@R5S1P*7)Y;*Yr6^MFHx0lcz+ajCrs9$!td_f(*)A<+ak(QVllMa?(=hcI;G9X zicKu>&_h5$k@>X0Jh(#Nw6wQB_{1sWB*vWRYtWqkO2M>nY7fzZH$(Z z=*5X)6AwAsTMv8oIvUy&!0*v=)?n2=2JK8)oY;7n&SA~a__(MeU%iWAN_FJQGeOLz ze{fVG=1IJJOH2c24_+XDM2*e;&ove=K_~>ep&yq$^$kDs%fmSS(?u$q1gJjfoiP`E zo%bmdVUh2hYa6$lik^x~l5|Q|W0FD)!7ek`Kz&K(6{Cf=&er1EfhW`_B}s8pZD|~Z z`uXK=`t?G$QUq+HU?)vM6^jvk0izz^5Y9{C6peDFt~hLv+6lLgWtBhGyJF`=^|y$j zy&;+)+5$C-3#84Q!NmX!P@lCV_2Ki8_+r?^NQ^Me$a?y}2{*WTPk^9-N0nKm{4GFc zm}AkyyUb5o!Sc8sJM1~Ww}fpI8%cEprZN9)d1)`{@{rS?rtgi8j-d0%It_v`E~MuZ z-v`P9t$Aje9fnp$Mm#{G;qwj?shFsCHQATupuf7MLM+Rb~| z0ZFHH#?>_JPd>aGE=;&X$%uzT&wPDI@FW~vM43#Qx?gBlh~|lSZ^5_U60_J0B9Ss9 zNlPL(F*qX#vQy2TEgT#n_{Kv8?MhLV^^hqPY-+;StcBX2OomRlR`Y8M@VkA;T=SY6 z7r7%CUT=Kw2F``DWz2i(Sn0k;bqAyJmW4Z!kt@(15^SC9I2^Qxa1xoKKJ}pg=BF)E zzfmFWiK$4T>FE$H`UVmz0LF6={0SMy1Wc6Y>qU8BR>Z+aFeKSCePk8^RG@Z8dNErq z48QR#_Z5`zBms?i_8B+My%%U>l8_jSRvWo~)ZnS|AD;fTM-d^N=-^x4&|MD+sm2?o zV$G<)rzb=)b`>v(3Vj3gX-cVvQTriYT)*p|z=$=5VH5qDF;bpsc zMdlfU7a$~!W?MVE6toBVbmbtJiB#qCWA3E?XaR8Gl@$_wJdl!lJO$ftt!-@@z;p;b z1k%=$aAn_b%en9(iT@JtJI?sSf^6g#hwbi+(VIDva|o{J9jHn4mQxrI+A;Q{W(jh@ zIuv802Hx_J*FL(3D{0K{-kFL`=k@s7{?FubMz3Fq4l;{7G-Rvc>l*PFZUIOKwN$-4c%^`?wAn z8BBY=v4jlAxX_-3Vu@H$J9&3cL_m_H1uMKP`&St(U`w*?jzUxll_>-II^tk~=cyWn zNZy6-rl~p;xWz|*lg0rJjGCtA)z_OUK6w9Nr2Kx@25`}=$mtT~@|})&C6AH4wdjfF z76feIi_?ja;!*}E>p#+W-Mrr%m{sE)LZ{OiuvKVz)$7-vdPiK`-B(jy1?_s3UcuZQ z>sD<$9j`tSLq$tP8+zMToMNn>!b9qG3^+U@^Uoc)d>6_b1G*J;emp@*$S!+Tia{57 z0923$tc>^oh^D~KFdr{~Ex=?y^FbIV;6r6VA2Zfp$%W!KK<@!H&&nWXt<`^xQ^;jN zCpLtPR{|@7>mj;_+S<$wPH1*WNsi-aA4ELZu4L+TXCPMJ`tCg_A9z13!Olu7ZlUA9 z5mPab;_XnWt1T#yEkJ9bKWb=h-gWjGcnqT%lLs&LPoBY2oPuMovmKc8yTVhf_mq6D z1q7^s%+u!N$svpZH!Q-~5o(-@G7c72^u;^E9)e%rv1!*}5x}CxGGUH6zu(_1=E1g* zVI)X!MY{}pJMeB^;Ti21&|yBippUQ0oqhy@qv9|Z4H5D7^hBr%qB&zLctyU?GQbw7nwOeo&E_W zCn$Sn)oaqS+SdSAGplwW)0Z>k6dl?yYRjiiS4s(qgQ6BJZw=NEIrm9C7M2edu+-T& zM=4I?Z$XG1ENe6*RgjF2Km-xUAPTfnhc&I$e4XQ? z&EJ4qWe7vAPRz^D2=8m(8Lj=5%^i+TT(?vd04S;_PNa0&+oNcK4$_n@1TW;v!?Mm*CI8!6oPBsBmzOLr0u9C~Mmj0QE%3iXf+vhIBV4fs6chveW!NMJExgVu=j z))+BN`Q9KukTwvNJSDardEck=6e)xX!N?P09s}D#WN{vCVN+jU?`-6E#K&5ZbbX!Z z(MQ~H+=fC;JM?Se2MOu`@=pZbfV&29Yn33762}x}G~pKpR8i_(z&F=G1?7U7m#8%M zzhNSEdqRNsN=LF;5xHiKh+kqd!9KZ8L_es2VTo0s-k|DMEGB7FzZ&9?@4Pptap)DcAI$+6kmS{?b+eQjODuLcy8j{07WnoZ` zk#4bMLxJ$P4m-}Tg^|Q}1t-^%{6R45#Hk8{?S|t&P!OE}u1O}#AlV=UI2X|;0s>cq zv(VDn`QQ_ck=DE0vvw1b3$DJG>yME*30QitI4(mH9XA$s5+D!n$veyuLyv(1IU%(f z2PL5xfoBui4&faK>~m1~2B<{8|0HEZ^_b)n>r2?hDWRsT+6?xy+XoJs0A0Jg{;y%_Fyf1DS~wK=wT!f?1srKgBCAZ&GyHeAjy_ zA&;ufA_JFxl%1q)t_aoA^R?@Crdy8vO}ke5PR6Q}ulB1SyZmR>J|xeG)b4lgjlRS# zy?gYT8S;g-yVucBCB4r72mc9lN1D=`{D1mjn$(tkwAEPW0M0XHf7Xr@4LoX}FC)N} zJ7_EMPNPcKc0R#<36Nvk-5HI}*1ynWk>nVZQKfk#VbOpPzUbwrjEFHYMl zsH4$lQ2D2gr-N}1&qt{z1vR1O(jGxU&FMe5$VbGX*pNMI+)RSMQDQbbB;Qjwf33&1 z?H5>*^m>3S2NXPrz<>6~Yr27nQQI?rp@<>{zZ_|c zB(3grOp8EjDOta0jY&We;!6ge2FHJjs?;X4_?JBaKdjYbtP2ZRR( zL$HOU{sWbld%IW&7*8^N|5pMkacj!A}Y8)vA<)N5U=iG^sN?e!sQ&_i$XMpkgOw96_=)Xae&`$l(s2@6PeqTR*xYUH%FMoV(IO?04*L2buNdX~&LxQBiy*mn~B6p>@Mg z=v?~;cW>9!MhDMny;5ibL*rf0V8uK+{_g&<#OcUYpU)0Au%J16p?pHwV{^yc0!gJF z2pi^*J;Mz(qFC7kik`bpiSB#u#QE(3aJeD;JkC^fb(r?Ib%EhCl2kEp3rVWCa`+JN zhI&y2;+e{4SY)-pO3;+iQ1*Dw-%#)fZtO-9oDhdq93}8$D!OG`_k z@ddc~S0%;X@RcW*!Q|QVX2_SaDIuZtA~NdfL8c&mOgUpmt#jy{8Ox?Uj`W7}jgJO<0PQUV6<@ zY?=F5#lI}YWX>vVb=(1At?QR*6c|2wAKDbLb!)?=%l$i@WtV@q_Zr68EY~Xm&3zas zqOO%ax`VFCH9+GqbB#(puLlQ%V$feejV9145_}TN=uzr*__Nc{L`H%Bi$YPp4vl&{ zCiDi5`yrAce-;Weg9mz>Oy7WfKBt5@m3u?Qi0x=BixEAp-Mq(R(jRqekni}LoVyuL z=H~ZQDu4ZiA|(=719P|r-^FlLO$4JXg<7GprG+0_cI>an*x3Ep`wc*o)z9PDFzosa zxFGQ7GuZeeV`4M_FLydT83qZLq9l9r7y^-a%jR%RujAm*!b~l-)3ccG?0NuhA1Y-y zOBzw5+AjbSWWR+m(s@o6aRr%3s)dYsQC?d5$c0C=-#=cTdOKB*>wRBc#HO9{N)WKb z6v8Uinp6qz(~0+Q5&y?OQTwhhD$Xx>$>J+V#rba=?m$)gJ+a0NC4B?P8iqxZk56NZ zUO|U^LVGEGC8c}NmxoZc0-Q^>MV`A3@~=iw5yOF6U7gdOgM8 zNNF%E{TWN7s4{=0XuY(no7 zsDQib3T$N02Rwj541WAb#tA@Sb1mq{&z~}aV$!0jjE1VTC@ngk`dmC#exY^ix?FMa zaY>y|Af(*Zd^>fQBfXMUEGSw*g0!H+%ou_2K)ozBGq@S$yywL!F1Nt{iU9qG z36>~~fH9D9A9ziL2e3H>5_4;Ow#{byB3To2JXa=NpY)lZOs@9MfsO`{E1Brcbxdq* zWAe}MM67X0knlw<_Y}?829G~FCXYt&%C^dji!+&8CL7Vp&p%M6{r}T<1>ue(vU&gh zQa3z#llKM`V3oD-`HLf)9rQ2o)O|9UL@hPyi&h=R7e-XpTl4Jv$p$B7OBny5^(2`ar{LK2tk6Oexqo^r zw=2m#L)5G&tnKI%({R`guEm%B(z#mWV>EB#gVQ{kFAq_iSPS}q53#z!V_4eWV&M*g z=ZpNl*6JbzF?evX(N_AIhG_ok{(@(_V$mCfnll@#0vkfgG-3nD34gVXZqvsg=FZR^ z7$Sqe6*we^hxtBR%_U}Xta}%bj8u$2k6bKM?M;j6edfKe4*dz?QM&0~wR{2sOr~7o zz!Ez8NEmbWl=yhF|7b;-Q`jh2aC*_q=^-0|^hVhd={P>q~h;50On z4`5D-eZO@jeMD+mN!7_4uOKQg?7HCWTwNQVQw z4relEzJ>fP@=>nYOoVR7fjnO9_*Spzm{mEwb!MG4!f@WlE=u@8^4)n7zy!!!ovwu! z)=hUrV8Rze?cl%AZi&l#^eI4Mn1i0qe_TVTA~kOuWGVJC$H=olmrh2%-DU;Ob(?Q3WY}7 z3id~4zNV)sOa^{mV_RTRCyBc^9(rOg6=>pni+D+A_~ov1eswY5c@ z0YFkqvNW1;u7&VU2#3fF6{JvC0l>(Nvc_I3YyniK_Li1!0q`&t{Qmi+=m9i(aroTt z{zSAp@58YIym0{sm>O>;>d}`{ev%E#qQr-LyG{&x#BDG z9{ZpfrD^unC4>)H%C$rw1A!m%4=$qw>)bZB*2=~Tzc2a_dh8r6-DAp&{o&!EkH6Pk zpxeRyLX)=oFJX{iX%OL=DG8eH{zz~n1!r?~<#zbh2(tmmea4tvV9lHbq3%EH>gou@ ziu)rVG&FQir(B99vaG28k@JWR?A zlZo%2S@7OnmoT?X?WPkzC9zRoNWe6%Z`Msc0qrYOw6?(4U4tb*e$1lTmkPK51L(Q& zJ6=Y?u6(NCQJFVxT&*m|!XwbSHJ%FrM``-K6-Bb>Y%3Ti*D>0jCP?Jx0o#8nm>Vi> z)h9$T<5#__VCPtp1JbU-CtLojbcn#s{*wPVJchy6 z4d|p%KvGU)%E@sy6(~TgZo_Kbv-~E z${4l-L5a%9eWNU57supSi>NBZ13O$;Sy)t9yV?4Kn!jNhs?PP3c6OXO ziSB(@_Gf zArWa?gRXLiqE2`R(1%Dr&SmI5NS%v^r2MY%fzjI^S?lkpe(m2VVrnxJN5-8yeU!CI z+)&rG(y>Mo>3lRywU8_$>M~{|tI0@@TyNvN$#aQ4&;(_WKSAe>l&p z+8m2#Pt|Q<6C~oWf?h*V+f(O2uT^P*#uT}vuzMG>W;|Z4!%BYh> zV$7a?_gLlJvl^uzv$G;Uy@3=Gh1-~P#XV6<_vjb$tDk1z_Y#%C0m%lOugg+bnL6y7 z`v30}H}DXj(I~r!C_>hOZ?V1pg761WCi)K$Q|>l}4bXWWwNnX#3CMV7oQPzS^vp4k zhXic`%z`YVx5{ys_6x4D1UlRGrsif)9rpu(2`N|WYiJQomw9+w?*`rqcdNowGy#y# zw3fMBPbw5sNP2c?GcBJD`n_seWOgk*y-?(F`e0SI zOp|o&^`YaHz;$Tq>9?Qbf|M2-?EoBywYUUey1=L2sahxf#BPf1JnDkrJ9mkbu-q?8X5Z&y2)h^tE+D#mHE~N@Z!vTlnb*k`{B)xXfhvXp8 z#?*j>PyJ>xa0sL8;by-Z^a-Vx&Bg13V5 z3EVQONRdW`uxJ1cX>+D|C)5%7q@!TQ%F0S6!D2;t35$yA8Rgg9I{t<`F{Nd#j-dAM zH{9QV7Ij^i*a~jYP7RlieThu!ziPlE)0J*JcagME%kYDh>Xr%0IrMg zzX9frIlz)SmJhC%``1TDL*;MV|Dy$HIlrqia!B{(w1%7%r|wO2xn1n)!L9$2$PC0> zc*<^xgrY%Yj;4xmd6`8I!2be?eq>&GZPl6$NoZq8F_Z1)-WVzHs&qGGc&O<#&iMj9 zMnl6(86dbb#7DN@S+_Nq!k*LB)fLv?j-Pd^W=E;oiQp+>tGR%Rn==Op$W4Tnf*h-^ zt=(tih^NcQzm9=PLqi>AsE; z=fU8d>Ust%3OeSGK$T`HP{g8-Bq8S58lme}E-ozGsn{-`8ID6(znctVfQM-iHPI`o z7)W(dp(Vir$U8EQ1DL_w9~S?B{^DD87p#If+ic~lO>tn8acN>=xspQ|3VpMq;<#;N z>6%dskIABFfe}#(C_IDSrgg~3d?ot1&u4eX7m6;`4mY#LzAPqUkC(Keg_~y(XB@~& zL|auDH=g~VcG339qhh9-e`?U`8v>ZejFF^w;Tp0zj#K)+EePR#D6aUMe?y~FNJNP? zr!P(pT(Vih_%R$Gl9)cBzkuD{A&FHk^X(6YD1;bfN_nVc^t0bn^}1az;<$V(oq^`#|?U&-V$Q?=0w^)-qpo zH8!}bX9_e@B|Hye$3#`GEsfM)9G_g&)zuY%YguFY%a9BmEpuF`p7%U5 z&}wcG`GKOd*&$_xG74cp%kWaH_7awpGcKx-KW*yfeNA$&aB{}1nOpW1@MO55ICHFV z0F#`U*Kbb0ei)q{ku!NOOduR^SRERG18o<97ZaTqSlSzV#JKCB9OueeLjh~0H}|P9 z9fibDB7JA{)BZDBj+388*VI16f3Ic~YL6p)c5{w4GN_Je@X%iJfJlyk*Av3pbL+JK5d)Tq1{0a)fm zW1!j3{+f3o$q_V6;)ByZ%JJf@k?93QrG>>Ijzm*K%rM7AN0R@yCwd3qOc+9%GQccW zk=3&ISN8$u!=Vh)ZxhLoz&HsE8iAl`CG?p@>qcx%mYZ@Jql50q zAyE-AhUAnj*EAtO&~eKs2i%$s7z2@ z^Zia+u@%uRB>oemZ-vHtgFMGX`Myo8J2gxa4_rH~R)h$H9j zxqc!~9BL(p{n(##tG2~v9q+l%-tp}VOBTNgB6BapX9Thb5d%}BoqQ+)8k71^5Kcjs zvw}iWeB%6zrFzNUY5m{cA-irZ;WXObW6qhx$Qim6MpfV$h2)I-Q5qWso@YPH3{IXC;wtjz!L zCVcT69P*0BMNS-ufdJN{m2eGD6lr0im{uN+dXERR9Yq`(#qQw?VIQk^yA$O!aDiRh z#R97Z*C`k*(!JJ}Y~;*+k!vVq8`U;FS-P1*;Hvcgzwbap$#K=c>?&zR1>)sgR)8^o z0U3pE%=gaJ`sLy2HrZA6E@xd_k`o~cWm0}N6EjrOB^ioGM(p+gv{u8Tf`6|I%&MNCE0hq$R*kw0nhVhQjxqdvnmiCv4OZZQ(Jn39r$2pwvKWRhHS;*Z6x9!w?}bav(y>i$mj zcb{ITijXn-q?v>Y+(LD@rEVl7hZ_x4k&PF%ALp=UbdUZ#R)M zHYXsj(BL##O-29rYI*8iTxoOn$(8PpW9`Sq&#Z8KLN2 ztG;d8Vs9hGDdix2uOv1sP1{$6imm-t{>a6*_WENJVuQ1;VhKUC33t>z|KxQ4U5;1& z+bj}MvcAxyp1CS5+6B6S*4>`Pr+bOj_wdLWU*3<{*y4dWb5`Q!d;g11dqT zqY))GOY$hTY)LeDYutuOnV38XI$QwUXBBj7D5~}W@o;jweQ`LEIKN#!)jjEwNqvqO zp-ZMY8bDsr{hY}6M$*@N$k|;pi;fz7^Xj##G5Dt+CSS2yP+Bgc7If@RR~rCP+*okM zO$H~eo!*xn8SXm`47PM{A)~ zJS$NelQcmh(nIAsi1CkP;CKhPU^2u20Eu&-C`~Opv?Hr1kdnlCp8>n1GlwY@I+g#= z?q#4!H5^Q+*k#v}RIlCBSdJ7vr~*}o`xJeD$q5~aeDi(mO%4|l%+&TG|FKAIY{g95 zd-RZ+Tp|P(+rm-ATMK7PP7-^v7^zx8=Xy=vz}yr z7Ue9}|yNA$zBWJ)jl0y+! zXM_36VrL7%=;hZdf1?@Hc`hSwUg2>G1pQFYlV#C6xtIV#f|JNMpk-i4t0&7F#_EbZ z!J&4gB?hPl9wg$4PPNK@7{CX|xv(0=iC()8TrwnG12;<3Nx!1HIPG;}lKQf{ouG@t~`BnTf+0{QhfEBXlR4z?$uQQDY7xkbn;g zl@wQ80j%$j!jq@nR|Ki&)gDw>ThWiQMMEgUgPJ?V6`xkvrI(%IFrm!av~V0lq{(Y? z2IzSq*okjV|5W`P|E=Q4hu651l9o_WT3VWh3lX38!gq&Pja=*33kWTv8#8?oQvfn5=@xb&laZ*k8aYw>HLlNTRj-wflhOG`@fXI9n3eRW6b z)H=mngG@~gjmu8Q@%7Zw4OpVJ)d4qYSNz=x^#8}bft}ET$JT&Ju1!HvbAS!_w{G>1 z$%27QCFr4a-t)%0F#TaDf?6}w%N5VZB2!Q)7Ji4wgexBN&lNI_^FDH&A77{10Q^~9 z-w%NXDL=?Vfw3jU*Btb;+qh&C8%7U4udS`!ns4E-gfNV-H%Fl7GBs+ec5MCG`1n7BIZr6*iDsdU=z>GsU*_hUB5UxVKX_E_z99CU2-+NTT(P27f=TRm+ zdsP%AU-GbNX1@1s#P6RmhMpCkhH$JG3Nah}!59bFcGmaO$lpJh7=c5ivmHP&k%tTJ z+mrN`3g^Xc-OWb8D1?uf6+RymIsjLM?x-CyTm^JuuC~D)#)_gK#p?y$Qaz9#k``~e z4ME?TnVCk#-;pJ8&JTeIFx{jj{+OQbc;@E^0rJ(&WJVfH4h#`Pl+maHUBtm)T^bdK zSBq~%cY^h`27Y9X=HJuJVwg2`=#B%~@NW!yHrxHhDF4|l6_xzkwnd^e)Y35B!A38M zPGK5=Tlcq6uEuhZQ<6Zyx~J=SJ&_}D5x2I^eqHK5u^Ac4VFb;}2Bj#6O9Z6DB}@#U zL6g3M^8ESpBv3(D!^5MqLx<#$S;a|ou=Pa61yOfX(KEb2jHh7$u1X;?EF43o`A&em zNLnA7#K6s=SFct9!}~Hqic82EWPOJ0h$g$`wgfeWjEfaEeym(H29+$aTrbKa&X#0D zVLwxiE^QMQW zy!@=5H;}%U`GFTB>@iWzA?9Or3b54Q%P*f{51FV2?-QjmJLuMTQX}0LJiT_;|4MlA zeo^yhzPc!+)tY~--K1c1=nPu!6nkyR_gxX2(Cvj$W_KiQ>BCKCsVGTE^Roj zN*fX$E&v{CWyi@%vG|oaB@k<{;7DKL58#&i&J8qkIvV3&&na}_GBiDd9c%O?6z^4g z#fJY-i+@j|EJ@Je=#IJkmE_ydp1=+-tA7WlADRA_Vokm^_L*%|t_$}SX~#E&v4U&! zu8m{@R;(3}IVsm-)I4(VD}`^6xopTUMhZKlTOK(Xgh>Vfl$J=qY*dNWFdPg&3Fh;p zNwg+O6JSypGl>Jl`q39+D{a*5NBF_dH^ZXY4KVA?ZKO{_#D;HwUD0^rTLFdEM73M2BJ#>)OSN?V#ns7`fPtT#u16Buc3X!V_ZdlXD;E z7P$z~GQ2Qm?~CA>lyZ1=wQVQmHm)@Y038SVUfWB}-7l~A{nUE&X2FC0+?!(=O&9?iW&`KXJI9v(4^5d z$a4gdKng49o%UY`7q*F9c933EC^#L6f8$lg&4yAgjAl0Ex`Tz<#Fn1L{CC0rb6bQJ z6ZOT%PoLD$X=socej}t3MgUFb(^Htc)_{ua%L0g`&~pZOJqOUmA1GQN6-!zvK5zrD zM=fAyS~@yWBC%0X)=7=MD6-*!v(`8`O2^3fMAHp*W-Jl@3}fC!envljPbBEsg710Ox&Oj+~YC*h1pne!V(gBHM17`8!j&Y z@v*bAN}ll%{N45DjS*K1l6?cu1N!~m*OiNMG#{_f(J=Oy=t;Ed56@zn>v7Bn-5mWx z?0DJp?3|pP@#G8P7`S67^m^WhFX%>bh^Z95!QZc;zZ05kd_JRvK3qPQr%r`{#@rc? zms*ecGwa(<_m!}mY>THlG@bVcx_s1G8de8REm1?3N(RAD$kc%+vd7mjGQPk%U8w&N zTxd&-iFo1jrN~RG0!;PEBPs28Et=DTuV0(m)%WkWhV(#CSlDp)1R6_%{#9My>DYY8 z*!U{Cy^q*U6n{`D7~pu|`=YW|`DHwr=^@z2l2BWhc>b^p{_$!D=G~DG_?e57b9!@Q zx;5w}38c`Z7tvy9DZ1l&a056x*QC!Pf|?)#=!z{Nr{R3P0qi5VJ6|VDOA_-sGx1?d zPfrg;`^^2%h*p5Rbl)i=H6mtO$g|NMe!Lpe)$&J;pvHwENfqxz& z&+z*hSUh$iEc6Y2X|NG}m_$r`d<(4q&F*{8^cLxUS8y$jH!(Gx&fB~EtDwmRVT4wc zcYtWRQODj64qk+u)a-vV7n6)(*-`|DNod1W2mUKhaPf`#|SZcVz?ycpjY&` zKniJzTIonhKMuen5l7aKLx6E`$iGNxczsW?aWtCMU6cd->qx1eKJv*`{w^Byfg8p5 zVblNd4fW3T^&2$CIyuQd_TSHZRU41e4u9+@ttTHZuN1vIhxHhK zCjIZD&8q{@rO;cs+S_LgaPC~==_u4EB5+gl9cTcdP22g0b285szXHYj$OY&8`0<$N z=obh)eU=$_<;s{+UeCt%7>jQ6p4f@rV@CS=Ech%puCM#w z^Lth1`srFt{ZO+n9i2PJPP+aknin|Wf0e?_Xm{pJTO!)Rge0!p(dnYYcn)5ko=4>S zUK^_O zmfls$2GCDQgSW2fy!!V4yu_vwDC;2xBqCYgwpXv%0CDdJ7qBXaB<~>Xnj%=*Xo`PO z&At!a=`UQGSGzc?cuLr!!haTIV#fmQsDPIV9-7sV*HDY|H8%o%g%1SmZqk^8ZU-q6!b{I z9x~crS>8ilHW?IyFdiyOc6K%~1!|@nXr^~*J4@BE*TQS{_}mu*-*Nc=s(=j%c{8HH zCu1=HEv8&JpsKp!DI`3YYC=(l=4}ec7(S>KHp_ZoMh2N|@H~+j_Y0+1_EpWzSzV=A zJLX>H3zC1&O&+ZN;|ur7=a;{8LWH_1SKrvU0aLJ(UAK!P{X_Ma2^FAUPr}o50Mn(dHWmw^bkP2wgUVLryoAPXPdc70 z8|gjh{{5^OM~)q90k8T%^0rfFO0WixGrHNkkY<6TKWto&aUcTQw!P7;e5l$F2852u z9a4CYk~RJuTwF(c@|9`N^W@$iJkzcGrmru4{e}%fVe;ojZ`3Rvq4R`th=2Zk<{Hl< zQPK8+QD3s>768#imXMbNFCD5p>2Ux_i!@fJ~;6J&Il!# zJzXE1mnVVp1+}Kx_cCD-5t3nxcpAe&Z=jMZi){%44A_H0v9q%S3Lk*Vs-^^&5}9?f z1$U)kvZ9(Nn6mvy)I>A+qCMw$`34RSjsWvmP5v76^AhL)d>_q>q*eg#oEd-5McEqF z$kyYQ@$t)-5D?tK6Q3X~+si=fV7l+i zWQ#1vY1h677WCTwI7w1KN-@g3g;K)kfB0bWJsztHD9BNsK1I)Ie(V&(2n;E{jRp&_ zs|(soOeAL{Gr57)3^twN*9RL4#p zJ42`Y*t<&@&OANw355(1=Z}8-w&tO(Q1l59Q()9+!otH>wPLf({U28an|K{Favbo; zvhj%VI<&39DS~C>mmBt(8D)XMpw<2GQ#vG_06rP6wgi$*xSI6$HO@GN)3qA1PL-Hx zV`dFj$K%4n=Xfkc^#-Nj0Mx#QyC3{|f>H3-vFT`;JcEUVgaRTWnAojRmuP5e(xOik z`qh1C{WOw$*Lrz*Nt=?=?z-TBz`w^}4S-*ENU5+&R#1%1%t(Hz&_1PPo(VKQ_?SWP zI|Kh-4+){)_uN!NTOQ|yx07YH?+vhjAZI69n_qG;wPT5KUMaW5gI|djv?9C?X|B>t zp4QgZL{SrNp2&>6!NKIBn3xUZYBErN75Ja4iIy^eE03&)weC~{=={(N#Wzi*Zy6F} zT-Lrg4SVI31a2rYtrKK!6?-6Trzq{0yeu?1Fz}iLL3?a@i!y2kf-yi_&LVxQw7sSY z=Ls*&;0WraJg~JCY1Z)-0*bymOZ_XV0LbS#bxS@OYMvXege95W1UMMOAMJb&Dz^i^ zG>U+t=YIIs0Eax>Wbt&nGm2*7F~u|G%nfH&?cZMbzpsFLg9Zl@5$#a6Zuq-@h=PcQ zhGu=6$d(mv9v)ePT4)yoBV!&c4x5v%y*NP}_{ikQoqLgy!C(X&nGY+Yj*7pMEGP zD4^4Ofm+Qm?ejyDbp=svYhbm3^UgkzXo!NbU4?=$OK=@tz{QQIGyt5CDSuSAR%SsV zL9~}!=I-w^FFnQtc?OAo!HOb7S^OgtpCSKv0G&ETa2V@PS3i{I-^zTULBu3K=t?bxnIeuC4feb|VD@LO5tZ zp+ZN>!wuu$oY)Wo1g87r@|s&?_xcg^0M=~YShrXD7)Aj@EPLe4TO#_$^cY4M_egvb zqzMcZadGh~*b<37D9PbFCyM%&D4QMLD$_0q>R0{e2-}hej|`lN_qHGw`f-!hgVIuY zn5HIic;gdq0183|YWagT_+g%Gd`)|*pSEN`6lx_I%2TioRe;`xMDK3!jza`xw#3F7?%wji%hXl$j7l+<(bA;-oT zk{o!Pfr(&LkJKZwB;8-7T>7`*QzAm>IviDu6hbH=SeAO}ev$H9_{YIZ`c#LVd5;06Fu8nvYbXtHs8V%78KD^c6M08YXat?l^BG%lzdGKN~59+OB!=#NN7mLxd8oU`|gg*5;y zKwvUo+SDU$&pD2FYz?&()-q<9(;QmYca#k$(|1miwcWqkRI{9h-W^rVu0=-8e{an# zdHFeOfmW^5RT^$&4@B@jIk2#`ICHYlLendnL7TW}x|sD8YOpKUzmljGkU`j-&(ZTt zO@GoM+$x$Sb^N*c@Rt5URPsRISX5M02nh|0z(2CT5ZgbxZDZ&Q_$z9l+*l}WQZ?tn zor@{}>wPm4DFTX$WGJM$40t2R=m~u|ow9KQHpZ5n|1H6W`92Q}RBf?<6b4iV^B#9R z76=S#(b|f`r^cCk8sII_o|4~~F2d!|1eAx|HF&ETjGk+`<^0L8sl9tGKK+2GN(BrS z$aj;}Cv+~bv*6%ft*j;X3C0jA%7Fv_A8~Kum-E`S|6j39nKp`KjM&Od145LkGNz(Z zp$ru=rBafi5Ru4G%2a8f6dCGDM1vs_O(aDFQc*~R@B57X?ECi@{O;HNyk4Gt+jU)^ z&v~wOtYaPPSTp~MQR=!kmSdyX-eqdPP8{tA2bwo;-tgVr^qA$5)2Eft1c-R!t3UU@ z3(N@ek8Tu%sweG{^LKnCSzIJ_*}mys5v(V1q+B>X#~7|gOCg4p?^WDcIx;uLD$Bg< z5VOmz@v92YcDy%ORaFOqW$n*Kmz|!T5$#+ytY2STS$W?{J@0~fH{l(Gs*fpNXJ6HW zGm7+27Sn!MLN~YZhsuu|si~>9muK5%Xi=-Uui%3=*@E9+D7!>uX5V~2- zENbIFG2k2zKVK(;h+>u6KRbOp2IX=#yGpD2{fjlFy-~@DC`M1Cq`LZ{wyM>U(9i)~ z!Io(Xy~jIy&1NA>+ z0Ip!l_6~jh?MAApsJ2GpH|P_6)|(U_VyJTF>{%HJ+EF^b!d1&zJCA9f4;AdM7vYLM zU#GctVzDcZz=)96Q8f5v6}6Y=i;Q1Jc+-)p zKYjWXxd^o5wsOk8pYNysdyhgWgUR6AU%FKa=_sJs$jci4R$7TJq*i3Hr5|dpC{x9TY~HV>Z24@bD{k=EA6V z*0Jx0^AfCG#Rv{z=fQq#Fn8{M$#xQ@jx|kLx9N5Q(sbw*8E2u3I8S8y1AHC_M$T?Qu5*NM zGd1*>?Yq|!6YJJqReSJMjm)J%dfpT)U9(SRLNTu#8oZl_-`|C|Z@-SeY%i9Zz-Jq||6(XQ>QS`P z*sDxi7s)lb$HdBeg)hOa=eG+rho7s9-`#E4qPfol&L${W3n3SM3$b|&;u}v;(MOO?++ZAUKV#<1 zI|S87G3{F!*O`)&A4c|*A-x`yoW7rJ?xaU^|2=7veL2(jTR5}?@D~z+C zY4Nv`7ykt0gh#rMm`{M!#arw)t$)an-84Fwg}V66@vv&2+9Ood^4#!wZyN(Txb(rn zhQgo`Y}i-`YF$U)UG}!4FWe3AC~tQI)=BZg)kYtY64-n>?5o$ZG6$*Xdop9$oZ@A> zJujZPFkvm5VI(4SQHG2lXWgffr#PEsa&+#QeQy%Ec>Jg!hn#Ur;c~0I0lu(Xfg-O8eFn9k*hvcGqgTK*0*1 zY<{?G!t8<|sqko`i5H+|duCpH8bDJJjPV0v079v}7O^(7Z7Y zt5)qp7Izk)4yE6-XS>*i`yWn%UX&JeF2GU(Uz^6}ewxISVZbiDc%iSqFoIEz36biriGoWND4i*hXIN zP4+x*S3T#%znp1NI99)+@5;>MbaW?THPx*R={WP_gs`U%iE=5T`$jKQ^`<>QJidmH zP$t4r;X#0UTP7__E5K+JJgru*UJZ+$0&Qb^f&ah%xN(YfJ$6z_dHAiZ=Sy)9lB7~` z))+Mm@1=s$`9r*Fy{9lQ+noBQAV|Uv{U1 zSFc**Jdu9p*7r3vRu?QE04CNa)$lU-@HFYo#d)|Do3j%k1oAnbVQn=GtnnlRl9pjfwSZ<(OT<*AiTW4LpBItKa(Y8h z!X&-EV>khek~YgDaZM4@85CVUc1!mukt+6$9FZm*bbWM-c$;lHxHMTtX+xh(<03~T zEw{}`#5a^D7j>@^8=yVfo7S(7++-1|lP&9j$f$FS<+5A&l|_=%0pR zmZ)`fnKg5!Fc|XOARh0oUDJI$r91+N2hraVOV?fFc|3n}e8mzd*cTZIaEO(4N|Iuv zWb@5;Y}+P7ffuvxnz>mPJjaNYkNQfAm1<}n8AV z+N2&dcUeYZdf}PAYfUo|yVL6KdwmO?(ytTFekz3^a@GIXi6ZNq_AUmx>KHu#?DUhn zB1XQaRh~zfC)C5Z9ODhQ>!k2{5F?V5R+EPvwPw;qqQAL1+VoObTJ$gG(Zn7l%AS=^ z!rHSI^WjPBeM^XB#mYPhGXAeJm7b-*UW+(~!B}I3-Nx#r%k~NXCW+W`#R47O>C;;YWVd67Zf272 zC;qfc^b4k&mUS8&qW!SSeD3W$GM;onBZ)!73N#q#4Ja!0p3 zl`@>vyNMOX{*~xi0^?T|_#F^BUW3`QO%&@HFcRISbOJ}Dz9TBPL!$Y&ENE%$F`r&q zM_BchoT3ifoJvYM_2u(Vg1T{J6*2a~ojW^YtXHqjHPg7P=k>?DCFQ;ydIU5?9 zN;=Ki?|;8+6-Qe(W`MGCY5Y@am;bGcwMsD*yXF@c z%OFTz#@6Ch02tXU+$={NpBc991xlL-85!Z(W|cWn=|~zEz1@r*&{FG$NTGr-H&c~*@gqiEUt}2y0kkuG;L?5L z0=xW%I2q5O+P9N=OGpWgiwMspZ{G^WNvutvKk*eHL#e->{G{N&br1cDB};EI+C z8CU-a6M|0i5+3E|dKsyfRS3eWPoIt$ZTP&~zjyBrnrbONQfU5G=!%4B2=FR9RFT@A zI@t^I!RXo=_Tkcc@&woE8W^;lzQ5;WgbwPF7oK9po@Q<&h81|H(QDnPuYgYmMRg`a zy1r&?@DAK$)W#pR3f4l&!zNBK^*bIS5_soD0gnl$FrHP}mv#TXuAmJllHDIZdh|CI z_ZQ>iJ*V`WJY~vX1a-M`p+n&LD&}lL-X;`ND8`%Wr&FjWL~92=`!SYpo*!vLibZ@- zvG=pyzI*qIigp@cUCf>e-PGy$DS|uc(gi-GxsP3cX!ku=1Bd_nu+uB4?#`pEl+{u~ zD|8ELH*CEdAon}j|L~@aX!EPH%f2#Ikc$o`Ud!Im(Q$C2bJ92>{R%X8#g#0(-^bvio&20j7ENI%(g>xm$qPtvh-*tdF$3TB%u-d@wCYf#}FlZ#sBc=KKO0SckDN7KT_7N;9@IU zjpk$HOm$FZG1+o^IikG-R+>smlRw0ZUTdiDRn^JP5kO0o_~5zqIYOMV*nHU0!JcJh z$vh|F{&jYq1<1YO>(|z6+GbN@hxSgRP+mpqKhNm0Y6Z;5C6dEDb69d0pYW;8|HL@y z5>nM#M@NB1C8r4KLUu{B>#rE$;UQM`@M9z%G@HeiH>UHW@6n_03GXots+eve$5X!9lIEAoJF=yz(8G=W7K2hROJf(FeI^(d6dHA}@jYlJy!=V6 zRET2W4nl7C))<*nU}Kap(_y9Ma_NGl;BY9mSt1_4Nv5Fh;gys$frhMF1tN6nb+h&qSjC?I(Rc*#t|KGzHOl!nr{LG-wWmEX%Qr-@s$u1%Qzm^w!>un@a6@ zF58~IcsDxox=71uwK^YoP8br_U*X14M~V}YfBke7kzmr@$_^+SfyeS`ET9)+1FF$G zVnkc?dIi5BRv~{i3lMW@P|Q0hXeBpyck2HEeXnZLNsh+C#7#p1W_Q286$`(>K~TD1 z>?3^su3f`C2VCD&ROP~I@~TA#nNtNP>;Ld6JB2l6Q|#7+ebjVt;k!z7|a5j>7I zLaqL&A=S;!f;yn?gw8>{-dhEH?!p3+Yc_%FBAW3kjz zOaZ+ifFbC&tH3Rw1NW?zgqPR)*{%Bu9FJ=$ud{0qc{r)QxUk3so{dq^n+F8)4qe-A z(Dktef*7KypwPX$Ow*JpWydSWs=LpyE9vNznVA`j(%65=bt>2!JWEQ74;zI2CVM5V z3@mmUO{G>jjg%p|>##+GR?^z4|9V16*GpQis@;kUwXvI+Zv)u;d( zJ_5PbBfES}_SIzZ0SHUbI=q#qSL{ZN9C>T&&$>SDJrxvoladxF1WcPUrI?#7@t}r0 z%@L73U5(H}@cWZLPeTaQ>pENurLlwOYu=(ayuG^{W3oOw)}Fo>U0GGte!_$#*>tjk zViV2H+SW&3S)wEz#)}!hk!6zHa~T%q3=T?HID660?eG8C70sLZ`3g`F3-SkyMPpXf z|4O9DfNrSm8^5BtQ_N&!NCQS*GHGr`)VXu5z+UcB`mVR~vQ2&^KK)k2QPsW=RtQTHed-|EL6T2ydEL5AN^%HU5JV5#hjb$B#SW%+gn*o-l=7Vqt zk~#e8Y5TTqyBGmz7BswO`uNtPM;Eil!Wtr*(bE12HfUi{NpSj5Tg$PQSG%Ehr=^6I zxsx}D{Z>B}`5pV&;WD|dwM!3o7GhnsXr|=Q?*DX3wO+z&5b|(*sXuxJ5Ldiz5t_!j z^kojY19k=l_2NoL&dV^@_>0fMk|x8@yn}ab1c|F1ZD;OnNF^uOC2f;#wH$Yb_}P2w zf3j_xHrrs0n~tHUC)-*6#)mR2n<&m0JAIVg58urzmbokgvs=vVwww65`8tT}uQ`C<5wU3kIxz z|FbFfVziIuheWbFb*X33En~WDVhY;5i~6K3;*E>_e1k5}$jHh{7sGz*OK0HoMWGa| zofkf@zv#90JGlF#E3VyJ8=(Vn>oZcU6-&#tXV09ubJ4JFpPsR;`OMr3&ZcV5tyDyo z_mR`J@RUNh7au@@)gq_Gpc`RvHEon?yqQh;kiP6!>nRz#_B9g~n_wwiZa?*u8o%gd z`em9mg`lz7YX;Ts063|Y+nsvlyTIJM2Nz>Im(RnmhdgDOSerTjI+gV(w1*9`yLPq0 zdu(3lxci9nJl~h*U4I)1arB&m?85x!3uf z2imp95ihTf+c#2qz6Fkm+hDuf#FV}k$`?P z4Hn|B`muR}_7ROykw58%Yzq$V4a4&o<+cc|Fm>`jWzr!Bp%0~wv!=3z{3E~S42FqB zoNW;iDmW+aCUg{?m3|64&flVY7Zsb=FmK8K5kcPMcmbkXddMt>Cmf=oVRBZT9cK-0 zlJ^kpIgxL{mJjmtkHxH5wk#E&osjjbNb+6wrpo5^(O9K`^OrSINbH`rCTB1G_U&6^ z10$1hD4!Nk4$`~$&W;87cPs{;t7X~m;6-`~7a2ylgxDjFOL&RtQ!(s+iFM(jA5pUQ zw_3n~E%_{_I?75*!;^BEoBNuN;QVk|dAZ5A&1_@2RRLt3`N;LAf;B5M<~ety5`I8! zZ?u04AzKX5_tApg7Y`snmGe}8ZV$Kq`fhbAzEkbEf@jZaPu|B)_9D=;&YHp^ zzK#;`b~>6qv=;kG4w{F_?)D}h#H@D}AYe3$~I!EpK?=Igr@|5yW z&uY@>x&*jryKTHilGV>AhY!# zQJ8+A8K0)`WKd~)Sy{vI2+l1VuSe^@#^0RV^g^!LM`~T1>6J^x=T)#@vErQEMeg)P zVT84$ke-xU^j_b*sm3>5VSwDL56zi4@4BwVjGM>^4y$c zSNG>Us5EM>2afw!`nPvBNQPfuNH>_u+<4)o_l_Js)2jLiVuM=}+P6zWc#LXx1Ybe? zkQvGt4DFaYZCV^HP2;h}@Bz59d0X9o`t)$G@y@|2FBA z$5p%kvbB>(m{JX`fBA{S7{Py}7^6aQvNmJzp}YB<(S?-t4f~C`z`3jk?W&-Vv18sW z(D&YkZ{LKnd880`^S@jnyqhds7`|yg&lEePS@AkWJT477!Jg`r68wXIGXcHXlyhQ8`a)tK80%VcVJv<>n2>co7hU%GDH$jTRqnk}U29{(M% z=}1x9$hwFl3x>a+F3$h56)TdD1gN!fF+fj!iCQ#XshA=sr+Uy(pw+PD?BQImdC}ir zUW?@X?0QZc7hN5l!_6`Y6)MtlIN*y!&MQRU(4yn-bm0FUG9@weP5=9nd~RHe9CNDa z`h33u2Ki*!*iO}zJjJ;l6f8I>W!idmpkUID~8_o;5U za&ZuzZ+$NDyJRbU^+Scg_P~PA5uUX&HH zG4^Jq+n4vpQ}$1Cv;w-DBw7z;vxeiFN0X}x@g!JTXg`10(M!}#s_zGy)T?u-;%mM$ z(wr%9rGFhcs{kCKn$)R>lEaP!aX`8bS$Om0^UJn}Qa0!`D~j9tq0{<9cbGvlQfPg& zy)#s|s#K|m^*$nC?MJi#{+7x8u+ek7z<$lBZ0*Yt^G$D>fBUtBqVkbCU6(<{7Y6=E z{P#LLtTgl9J;OKl;V^L>dXD)p&CdJ4ffbyJNRte69_Tp7cX#sEIyo))mcEr5#QxE# zZ7I=-w7ZT2PLlP5z&HH-$nkBy&DvN81iAD8d;M z?`#hF8wkRLn(f`TW5*Trr4@6gW&|3|yU9}5EL}4Sa?g`x_nH;4nCqt-)KH5YKSnhw zkdF?UV5L!9MVTC0$u0Fc(6L=RIinrpxSsP{pQj~EC(N43E^7d~eB(=(sWJ{!yjEYJ|ALx`5oez^}%Y@5Wv7O_S5S*;Zpb2&w!d@j$={L2J9^EQUY92l7< zhI?fk)b~vOQwf&_Jz<)QZB3IFEa)Z?OBs0qOuH@}xd}oWi#F-w0H&3^7`i`2FqL@x zsQ{fDzs44;qaPC{Q|>)Gb=t<;))5^+>?&m>U?60;I;g?r%Y}ppdRB)xEh8Cqyq)MS zCb?d{SGgy3saS!>R*4f13U7)RcZ|2WQ;rGdfM}#{Pi{)`TK?cmEZ3cHYo1N>C)g939Me z0CZ`;lFO-sMMcI|fxbuYTiO2z-Ff5clnI+#{gLdK_R3+1($lw_vunwk2x1#nC*|>; zqNCJGGLxxsq(KYD;-b|D?})rHrDCE{@LhSPcI2AIkKjDy6VaQ_v-t!5+-31R#o8k` zq5}?N_J&cvyOe>+mA1AKy=rLZ^Jr>cBi_d0$y>*=_7+odlfn1e!I}=ir(8mlD?I#O zI_ez$VG&;Kl%F_>&JJb72Nu=Bj*2&p^nsO1%_NXQXFs@_g~!zt!0`T+$t-kmTAq^k z|J;d%1-@6~*49(5f2GqZnt~5bYWLxQ#e{~zjSlvd(niT%c{L!?*NGVB2lPX5;>Y2Rr?0ZjPAA@`jt~+Y_*&Kl9Vl!n|{2U!!+5 z$#yp`TQG0l!QyymvPUHU6U>Xk#z{QTnyp-Pi0;D4U%-uyPzC-Ek

I&Mm*|ElHv zgWJ30cqYRC3r7sV!AE+_iy?%CqV0WEm5`53KD{#xF1b* zs`Cv(sZIv2{8`xnDdNGDhcBT^+6LsY{7P)LDp@pZm-NVyBaQ3y^}UNda&vNwRra0p zJ?hpD2F$sw*ybbH2LFd2zkDe_00rbt1dF$B-mIDMG?EP1x-s_3mFVTE>J_})`~*k) z&|f|*KP7mt%Y{HPutQh=pOrE|irr z60viJpv5mo-H@Refm2ckD(V(<l52J2N%j=te}R&J<#_B4eUu`2i*^ zP2V!??Alv4dGlvko=ZL(w>u6cwSg)iHMWTY--V3=HBU2dGjiIHSuR?^3?z8IJcyLw z4lfZy{8q7;* z|8knGyFzDEHx|8o1Win5?G|MpGUq)!`ky0BCF)&OZwxEbEdo@gfOS6X&yG`yA@K5^ zTOy}cj1XGZ#&u#3Ktn~J$#rP8B&Tf7t;W5M*(R~}ll1{troCgF)r-y8+QJv4iC#nG zuhP3%tmFeTU%YyC!JDX=8N2SGp(5E!`o5{(%Onm8&?er3+T_!xoy@_|Jm+$L5SzgG zu5J&BtdC(7^6HvJzJ*6TrsXt@$Vj{QFGh3tFER$WFN0vJ?p9&g~NN z?pYd0NZvhWD2u5PF-HP=)+Nwl5LCQDef4ME{}IjB94Gu@WwK*em)zW3meDqA3h(RA zL;TP`_&9d`^~MWNBlpxQIe?LMc3T|J_N5~t!+@T;$GIX+%rA(0M821niW|Vt{ou$kUc=p+w zx|Bd<%}pLLdbBR)_`)lgmP_CPQ+g%*_^^2v^iH2pF|2)cr;P-0t-DWrUc>)zGBs_| z6vTFE8cdR#e;U(KJ zS`PR52tD|2f4vx#Sy0fO_VwwYM26s1SwI6yX(>T?9r45FuZaA_t1C|Yd4Ie0IVX^U zaDQU!j+h_!e@#YYVrDJvDaqW{PWRn6E@T8vc#n~6tQ<;=jc!;7w~G;MLb+9?_!Jd( z8p2i4mDo6~Y#A9}zQtoJ3iKaxX z3#Bh|)9K}wRzMEPfLpf-C_;7++8{_)lzZB6*|Thq#t=7Y?TcRSy6-!HU?uRkW$B@b zj#=z(WYM_i%fG4sG=kjkV>>L06E5NrfrB}+6o<7&beF|&C6g`r$y>E4GehUC-ud^L zHt2u(uCH+i5Sh$j^=$=R+VTuCAnp^w@#cfBcMm;!H1GM4hNNl#BY3{0u!F-b?D5^# zAjA{KNQgzDpQQcFb>dC zF|UOLdH7ASgGHi%`}p=9JLI3uLqTU$?K*vqX<_rwd zS3KupF$G|b`xK8I0AHdNZ)b=Mls4&ab>nPu^w!3gzkV_=+QNggBhH#^1tqg_b?H#8 zbiB0TSJ9nwp!l!k>+CD2oJ)u}bKj{K($EmLB}__4Ja8%#UrN=f_Q+I3=%p6RR<7L5 zZ=H9|eAa(WmR6;xSDG3lY^`AP=G4;_Yg|Yt@>?6pcatmG_$U&qP<%Etl6Z=1YGO0K(4l6pW3h}8rB0O2u%oweSQOsnTw*NO zWF*Jv%Q5_9{4l~IQA6~s)`^K72S1u1VudYbuvjw6?;fG1wv%Bc$l?*~xMZqD?3N|7 zxI8brQU9L;!OcU#8WFDi{sOwbFWU?*tuA9**i9yaX~Q52D;(RNvPoab zgn($N_$-(^n#2%S?4^O#HWud@w7K%6~kDjTwPE`=rhx`?$ z3p2pdyO6jdQF5+XLO<00#0ar8`(u!qq9pCQ51s9MBcrAd1EV^Fci zTQg`b7hHqCqOg%{c1% zeJ1?$#u5H!I=9i;-daC1$FOduxxB7z#OWFBS3AxfcUpPr{xe>4>mG#-Qa938@2F%` zl&oEQ|7W?)_&tA>{4k5MuljLfh4%NNbTf;pva$6oJ$Chx87|>J<3j}C{!CegiKai3 zK>A09L@;0ahIDe=vW}~4S0ug87a5ScD-Pnz!0{)C{DDSu9-h&pNglFtgM42V!szPz zMH)q%fq`E@QTe3paH(*PwIzCf1Fnp+s87;YtmQpL!r^%D-hJ`yw-BWodL72BLXH}X zp6FeE?Ah+s`q|X(YVM6+)$(Rz(lXI)AwTWX*pOL0YYC-RI=|dp^x|tBTJ<8ofOFl688A3H5~=R30Ai_BO---w{Nq zmrY(eN1mCGdY$38dGIuj$i&Jr1M}MXcG<9Y?IXGy>WgoBw95(dcmG<_3Tfh01Very z@DRfC9?CuL?Kds~`j%t&6ODe}Pg%Zu_Xye{#Pz$GnL}SlMvNL| zhz=x=(Vz>cdi4xX>x7JJ==!e~z*9Vhq)*uf5tb_)9AbFlmNZM}6M#Npi5==3LxQ3u z@s0%S_cJEzg50l^i#xZ7?}NxT=-!c`QQa(^m8ym-1+oCm0?)Z@u-7sLFRJ+nE_W0~ zF8^RbLf-R&f(VSDO{`5jRqKzkGOR}`r|$=`7sVt%23$&*BLkJCcqZ2UkVp=+-1MOt zU+t!@GK+|ZOFwM?$u?xYkCWfSHI=@78^L3$gxz?`{aW&{&$x}@Ac%u@l54a}+9Rzb zd}yZQ9T|d;oNzU@#U3|RQGU@E@1{~w1FMyUW0qG%-8^i(uZF) zFwhkfirbuz6Ie4`8xo;3eteeY=bu$fN~I8;?T#5nRW`xt4zZ%NxY&2q8j!jpgmIncYW@mB>}%(~ z{{ld62I0o@wo}v627Vt;_nZ9kn1Q1*oUXXZ+3)HOKU0Tqm2V@RDv=D{)G#tzO&)hOIo`7N)@1c#W*94DJf zHjL_F-h42~qVZSn7>h&`zTfhgSBDGjuMO6t4`_m0{1dk{5T`v_^78A+$;n_{zgH(m zN{T=FySH)?UuV)4Q%*YNr+lwoLs9qg>t_2srOr}|F=*{F;4NN@zH)tP_4P0P<6v@W z;gEn)%e-Aq906b-PX|tCeVWkz_FQVqPlQ1|KkAN8C~G6An3lIkW_pma2~adZ57Dv_ zS$-q0uk2yabGsyABI;LgNK>h_eYY?isjK9J^Ws*&6VN0OO!?j7lD&_WDAI=npGn6&kNJ z7tghKIPoq5?igO<$XGll2DfP0^4Z3uB?^cFPh3B=z`LVTO~ve@Pn_;)w6{+yqaxCy z<`c1h6a6FrR3%bBO|qjC*lMV_URp6-9FQ-m~YRauRc?CQCL>GY+3C zic~+jWLJ%kqtTTZL6-?TsgSR0orn{W&^u#SaH05>CKQCDEq0(}#u(Mprlgu-hNlcd zxhAlqM(_Wk2wSF}fd0>KS^<~&jytSjaq^mlP>a*-^etIik7LC<=5Y!%UJ0UyROHAn zYIosKJ{h&_^=oUdL|{ZN4ltvVf|WeOBI?Kt0a5wL>v+w=q0Hf?6DH-Dl zztZ^p!jXa1OBB3>wwjN-BK!(h)RGa6FofWN?=KO53^5I!QJ?Cda)DOQoJ*Rk_jDe> z#Qz$9mH7j8E0z8KnbZ44lIsF!J9XWs!Uhg)QG#1ToU+Q+pN+B|I?V1`%_zM2oC%)~ zGw5W*W?iHNHNkcVUpduYvCGjE*g@@?{nxCc&erQ}Mqg^HH9PS9nMAdm`c4EX8&b6?E)K+A;lpHt!MPa}o)HT$nAl19L64K7I!B9w_$&v-l!8@lM)qsSI1 zq+E5JqSW%fb9#*9?TqPsW%Z0g0?gicBapz5hyt+6_-dLG_*!Px47{+m9=xXrUUMnp z_6>=cu0Nsl2g<3{vbGfuj-RDd5Lm%6%0pe0+3kwV#aRm%9)l$sjIR_Pn-){OnBcLw~{8-%(&7(7o-@(3OBSw0FEd4gD!gyAZ)~a_U_U)Dg zY#7LpAzk-!2g4A)6OvT!+uh(w3wX!iXVgc;rS{@()8C1+2hxiq3$a8@+QW24;4<|A zn4Rq>=EpkFuOk5#lOS@X*Mfh60BU3x;Cqo!swK>x6a>1EZ` z!LO37A$mT8g5IJQG(v4GA{v+D?yXxTGDaN=d;GqXlQgcgnn(;s0nY9dvS5tjWjhKR zgU?mZ^U8yyZH9L;SUGj=aQe9e^k78~DUTg9W)Kv+DFc(!r*8o@yu)U8?3agHH6aOy zu3}pui@=R97tigSb#mea1J0+aVaSZQqrN09t(>*>T=DfzPMWu0u-$wm0&`Qd`P=y; zE9){Me=xW2!I4~9T|9f=+HM(&5GQs_mFno~8bdB^L7r`g3OsV_w(>V`!YO9of_Yd$ z94ev^t*@er$Zh8*-)t-1Y{6m>QskoRabVfg0^ovD6E=Ugi}M{mTFHR`RjpF`gGsX- z7~L0AmnZM1KW7LfYE!#CfIi!wjSbypUBpb&(!ibPM=^1TC*!m6R4&={zJw0#(hEA~ zJFy^-X0MekI)m~;zP>=^1t#YDN;LrW&(G{*On)?F1*q@k%k)F(KhpdbGkx>1F24Gf zFn`aM2%$Rnl!tK0;8?F<2t4=f)TZob6ARa54DMTgtfI6ugijxZ*lRr%kzhvXEsS2| zA41s;>)@hs)!wd}CN* zFncm=hW{iu`Ex6tB>kMcOUkz}dC69#!@^$yEHWmu(!1O6XnF=FJhK9eGyaElibMe> z@^BU(*7f!8h#tWZ%I2D+`cd&-OBCJ}Ucba{k<%~TzYjIvx=muE{&SqDlq7MF1itY~ zgfgRyarCZ|cy}EdIXt=1ki$JXU2Iq2eGPws!9aVb0TDzBv+L`Z#dUM13{4BG9Q`a> zX>jVDJK6ar#}!G!LP5Gb@zZTWrW3MIpQ)y321wGCEQo`S*oy-(u+tj2Wl za_Ho?`0Fp5C7zSMEd7lwZJ-l> z28RcoX58Yr-6}qi;zT#+G}&2V^eh)5cK!t|rk1(w)G*_3HwneaV>zyo>gp<QM_N^S+4JX22&MK3d=2&e2$(Qx z(RTonZSL{ozIi0>e*pk!ha@!%nj@P6RjzyYusD<7kWMcpZaTHx z06l8U>*pMipbymp-#(m>_gCSZzo-u-5?|T9sUl2Wa)>(PZ1sAX1_QfG8yk;Z#>k#Sj8uufx_l<)l@+n2bUNOry) zy!o99FHWDzFB@3$nTF;&0e=CPOFwt9=hu?211f}qg@2@Tt!>}q2s-rqnl*1eI%yhV zMuZ_fqNL-Ir!5MHckO@nm%sSLk^{&2MRa2f;9^In^Fxl<^~pyM5=C|@e`th%1J%&e zNNtCu93vB0H0T^*PfgYI2B-sB=SS}$b8MT$r-pTi1#K~v5yT0k!)adV8&b2$>1vLm z`jV8LMmw^>=J(Rmr}NGILXb+Wq&BF3YFNx`na6c;B#5e2sISVO%YBaDJoXvoxv2Lu zgC_*8?Ka7~U%!4vEXD}Z-f9V?o{Oc)C}|p+;L@5JKIw3R&N5y9Nnc|7ocwwfBL#`X z!-jhFDTW999s{7~L1pm=!uSzp@8gPNS%RZ#DZSRcGu;Cn%wQI9T#XYp+D2UmF3d;5 z^PuP;OmObt80i^Ip5F15$2osEr5rJ7TeGHAu0G8C%1qd{CnO>KNyA{sJa_H-Cy?`~ z0e>z;#VResAcTzgOCsb!Q4qB^JiD<(8Tuo<%-hzig>vdIqi0W^9O8jQ61hVAP4ylG|BNV)PZYreUs3m&`1)jL zn=ahr7=RPYQI-}g9P0Zy|5g*W(2(ue@#xj7S94|yDYre4M5U!~AGZ(NXjYz2BS#_8 z4`Y0bLcH*O!=Th%QS>fHT3tq&_q(VF&{!SGM-Ew-2mN)P+#aaqSO-G}17N`t5kd7( z8mXfOm^x+3u{`EZY;n)gs3}Frn!_i2@?(GJ(d~437f-md%Bii&pfxwwWoj-X@I3s^ z>1Kj+cpc+P0nc#pI6X`f*xl>2=1aHvbZGoV=*EzTV5=QN-?Qh5SDOX>$WoW{fQ>+F z7&tr?ynven^iVrK#gg>I`)4Ai(DU~TVbBzM-1=_Hi@yYjqH00FyLdlO@3_)>eZh&2 zT6WK73>gb3b!_;AcaP8R5+OV)3v!?zIwf&ZJC_Xea9yF`CHnAfx(qya!6DeCyu1HU za}(zOQCmwC|@4b@f{boxY-69-&0%> zeZL|k@uK5po7;B12uP%{t{HZt%XWwDWG=`UW?qU-%s zCKkT9w(cy$64nm|Atw3|aKr-*?3;ghlL*r%3Mo-v0|uPpvS5sbyetw$>%Bw&WHk@} zJ7e6RZ)pxCH;>3o-F%Lm9mNf-{qp4qL|84iqWbgkHZH4UdBr5Rjzus|sn=-- zjJ9g*DkrDRve=Dz9ox4zCLHloR_tHqm_Z0rzkco73_pyK>~rkDV)}kGD#|{fBwCrE zI$JQFv?*J=$k=!0|VmUz3y8OLw3hXDE5 zLBatK*l@K=-(_1ez6&*gXt4;g$Dbh?(v=~s&HNKq9QaEcD0oA~~8Nvx5iT=Ez)~53f4>;4R^TYNj+ky;fjnLM&S%M`-K3L+k>?Pu|$juxqSNt+_N2ry?h*= z0dcIpl=Rm8^7>N3p@|}ImP&YV^A7f#dYP`hUN&J6b>Y|_@G-S@b%(eyfbWe=1j2A; zN~=i#ti0{(cDEnVz1RqU z;6KFF5agT(a@)v+Ijyd@L{Rc){9D(a8mo@M8unGW5ueJ?wSW$KhAi7uqs6V4O?Y{* zLO=ibB8XO-$`=r9L(Q+KCErF?V4Ae5gG93MY!m+XNPmXQeI)XifC>Uv4!7*Q<;@Mi z67Yr!%1RKF(W+IeyzNEn3=-=Jm)?<&w!sZfHej5iU4T-|5(S#>2Ng9|g|k`b?u!=| z`2VPBL#Q24UtgLb7efhui8fN^ixik@kpp1iqva}MSl!0MKcej7>MD9vocWU^jnxmC z`MnGy6KI#@C%(2n9bc~{8AU~w31<4jOi$E$Y-~aUK!XaIS^F!A7x_z?Uh6&o|ZE80wHSIp?c85t8M_$Fl4U1yZ zjXc$0LAo)Shjoaci3g-|Bn1)TT%h3aVj1$Ctv9XfQ-I6!7RIi%44 zmAUcwUyXI;{Oi}SyZMy->ql14z5Dm)lG|Y9FJ31m>6lT zw=kCxGiah7*N#~b6U=bIk}DfyMKDw% z^}?Io-Q4Y;uh7G#P-gUD&2vnW-M5U@(yGLO@vhFtITIVE;F}R!X5UOw96RlIrSr>b zxlYkvUQ3ki%Y5mf%-ogOW|U&>Yzh`w0L#eL%ALovi$h$poDO2{-dw;SSCalH0a2rto)FLa|Pz&cyX3QJ0i>_nRdcE_!heGlLG3zvySjC+U6ZtSn%Ufa^Kve=?6o4`7|Uy1H%l6w=kGbb(Mf zz9C~?j%X)PKhSL)W(VzV&!sCS%6uAr4_4jx6+W1vBNOtquM>O`PW^^30_V#`l|j5T zsTzbj;S{G`ROcGnS!5eW=7d1D;jAu&qFe8EqoYLf_krIn*!?m>r`>1-O3qPIdb9^o=nHts}Yft2?-?7HlUR$87y?$-C$gLc=~5F^9Rd zfY&OX(wZCJqYIL$!3(wjRGQxB+qqEB2xj-(S5r8&91K$k5&~@4MxXQ-5hq~0OB{&a z&oglkz+oka++=khKQAf0Um*V>V3TjjIQoC(zmwM_#ch)d9T3d+(3>*ZD6U`W3(i#L zt#iC<>c+CFs-b{$p@6t+)-6P?mX_&+9Ld-Le2RHwM=)!y%}Gd7b80)5uGdxMp-B9M zcSwM>o^BDvlbs+m@dnFuB)7ZX{;j;|+g{YH7#?NT?UOnWolJ%K8MfWrN3@n8{^wDL z`D;2@ZYbm>B5bfu+c%HN7`F6{6>ywmV+5oQ`PwTUXqgQ%bgv1Ef zFU&j>MYq`X%TwAfLJ~ooxtpGz-biYl300H;Kb#p$H6a+ANcu$~U%SPK00kkfu~n1a ze9<4`YSjpcOY-QQ@mX(XTizalZP7X4^>J&#>4WQ0EQAxTRY?lucAt1yf)ZR`0oM81}0{mT==*=O|o7j&Jx zf2@PL;=Y`NZnFi;CAiduHJF+y)lheecqA~pcg?RvhM_=f+Nli$8z{F4p^*N1hQQg+ zL{()vF>^>>`=?)!J`I4v!E+I(~xEWM&N+v$=ma+og7j15t8 zSc)g|Q|v~uZ3zL!k6tM8PsQk{Bp&S)7%RYa^vO(5IJSq+J5KyM zi9<6oot}-*id?*S(WVYlN4=zvX+0o4L&5%MIJ*&6$?mFn4S82~LllB~oTeK>qkDOI zdF?=;KU0u!_{sI^wYqoWwQC{chTG050w52tSK<-Gb=5-G$2pP7z*_QfwD$Va-Nu7= z{ow#3$!Okr?_VZc;f0Z~?zNZlU7{X2+K{+un3RRIIf|{TgQ#HrM6yCQ6=G@*qe!(P z;0`g_uNr$qkA1k&iLcnI)Ka(T4zjgVXm}>@Rc#;MpOIm&;3Xnma6;Rf1Hg`|n!R`DX7lUnk1?CW1JbqWT*~RW`8;<3dRszGHs}stzLi-(+U@)se@glu z51HV?P}ozZzyt*Ecx@C9SmF1XlSIIf#4ybFAV^9k{f5noG3l$-qVD{iKYY&&!L(f1 zRO^n6YiA;Ay($0x4|y~{MQ?@1r1l#_azVe}kD9OOtNW)X&!5*1`u+L&W5(&$O=q1y z_TAO*_b2B}_VoUp{r-RX%lAH?YT~sdeG>&$#*mW0$uP7RxLf8FmiJC-CyRQXvQ-e9 zB9f?@oFAm6^+i`kvcBcsB?@UfhBX}=kM|d;%;_I4psR7IL6L5o8jr*Szg)D`hm%pd6jKufz*UUCN3rX?8&LkY9`UR?mj_cP8 z@;06wc^22#PsK(DqHO-mnfpWtB0a4Hh|p7c)ckx;F1z*b=0owpYzl3lT0jNGRt`Y& zFw<5WV|?J)$Zg_UM$9%o~{HH&!)!F8}`PGN2g}nf$H-3CE4@|MpLz*=otCfu` zr3DBKPQ3S*r0@N|o0{X2-fg^=ykRI(Ba7-GlA?RL-B9|YNp%mkY#-8|^cK%J#j+8G&JQNx`cvyGVLZzsyo6{xiO_XuCpJ)QzXdBM|1#iIGD4)6GoGb_C@}Ku9*k($@cp|zYAf5K{+RZN=mOap@J_ty zv17;T`3dq-bY@;W`_s;z;m0^$X<3;+c`54}Elg0@U_y6l1BJ^o7$t!%%YUHV98Q-% z@b+^`afTJ2t97H|7O$=8vv$6^90MUkYVqplN!qmM&>Q{J)@i_iwz{aR!0=Dt9Nvmf zXYTpq%d>)mmc=g@YX^ja#t3nQ`+{haCoF&9yA$vaka9{qd{= ztlIK|*|5?XdVT;Bj3>`CeG5^2cf>xM)m_D;{}1v(d4nLlfl0^nn3gdR#5l*`!B~ou z$ApTStlJ?=*#_kofFVH=n9u6ce{Ahr1@W8k5O?@jH;JS2H)j-c=PVRAit&U9s~ee>U# zt8e;VAD{SdcefI5vy;jRHKVQi9(kq>kh=W#C)MA1>Xt**QrI~x@bvvkscVosXFMEM z_Dg*$_X8wk6THjI>m3+0E+Y7S@%#5DmM6iNU6geo>z;gN@QSLlzuvt-%@`4UCZsmI zX}$Azob`P@psMZnJ6-1FZ?s^}Bj8s^j)TTXrg4mRWZi)fUe$XJVnj}$?Ze>^Sd<-^ zb$7Pa{P-gFWIuj9GIJ~+>xyh1>pgr|%?7i9K9^f^A9K65ksMI^9quRXKdQE9mTkq# zO>v(+*KqGO4@?+8epNy_K5d!@>faX}icN`|OW$l&Kpq8r-551BwSo$|eWMN}Nu@?4 z+AYY!zk$l-J9S!DHUo*;y?_*%;!c0Eyt6U}PA|t#MAjFU7aN+RV|YdS7p6(M@5U3%G%f@Ux0+b@ zm0;I>@Q}6z&%X2{B$a@MojaapQr^X#WS5C>J=e=gRUyy+tMRl z^81h!AM_nlY!SQEGxNuWnxi2~Yg6v$W^;bm^!}%VYt7Wp&ZawgeAeFs$w?8CPQhG*sZ~1gE8xE^)R++&G8c|5T?3b|OlOuO|qhGczwV zmmFyR``q2^e+z^RX{(uqD^(;F)`XkhewC>HT;5ky9If8}{MV0~t!6w`m+GpjpjG>m zl9GtaYl43<(_bv6tbZjrgDCJ2&?zD zz0n0$2ugqgY~{oX4!hXm%Bj9(m$?tq|6o+O|8KxWds)|jOF&{l?Pp+r`4=#_f#t@s zc}A&Tn_lxCzEJ&sFYw~l&!9tdK;yc=`LDEnUv%~K{6Kv_V1>S>=@+nfld>y~q2fv; zPu*is-N#UI1h^9E#n$U_mw|cOXfJ44x(RUCBe1Yv_M;NG*5j=B0$_Cw-s@1xdw2pc z^nm^P%wk>Wgu~^S&A@Y+%(lh>M`Jbt+rgl@U{5YCu1V9Uhj$eV+dl@@GQfkK(}VW{ zn`xjX(4^k`yGl>LaxDfIE1;uzUd?A_uz3e-JUs#4nW$-C03KTa4i+1g$?n zN0TlBhht1rP6&8zd;h?<;utWkzXaVS1KjKP6-aBUskwn>PJj!>uL8#vX76tYW>jrZ zc$wu~0LD0I$vkKU)_L3SbAaha54e{AINx#dSvq^eaZyN`X7C6MYq`PD@WvG~x(G}J z`=P7Tq1vAl(f%f`lx(1(tMoW6|9W3c`|ZkUr1) zbbtHYJMJ0x?=#ME4EJ(umUF)IeV_QnGxb-Hlfb`7auEjy2OlXZu7rbg)(r>ewBdzw z@PEc4lh@$moT0RYIDEpdJ+W$E_`tK1)O5tbA@{@n#toTWH^ITVgM$=*pyC$4G~w>0 zGCOf{vfGXjyK&)F0pb)cF8({}jEe79vdb@3BrB==Oirde8DP{Z*K)0$Sb3Toa3eFI zEIex>hxruo#~a!Aubq8#16T74#Rch8Bc^$)l=O~#oczVKM5ynJdv5U(o$ZyK&fc9I zj;11&a{`3_S=j&m&;Q+l|DPRrCiX!`DFRI^OD>u9k=yz2x9 zXm6C7q!yip-f~HuzoAvwRq)liJDD|`q+LSR=!T!bZTvsqzk^HT zbkAQsX}(d6(xEuQ>cx;GV`RAd+i9B5i{Gsm{;u!YITG4=Z%xt9S7MmwWsnK9dnU7= zy^7vEy&LY7hmJC#J-(_-sfjnx{WBt>Sy-)CFxWvCG2z~vDjlz{c6bygaP{wn&J#1% z(9chgVhCrWocz(!%9L8~W|uyDs>B!N^S7>8{H%Dm(D(A@pKssioKbY+aLCMgWo^_N zwxz5o{H7c!aA&d6n#g2giD{B;?x@HEUmdw0H?ucGd!*ItTI!sK+CrgI#K@AubzYQL ze<4~LQEdGvO`<_MHdfRqGD(xE)5}}Bo_E?Yj|bEmiw09s{DgLk3Hx$!|Olc)bxMy zcSp9j&;)ejrrd^t7O3No-@@K`BAf%2qBuVbN~p>Ai7yCYt~Stf=bX3AzB@}OyGDZi zh#IZx?-|CMlqNK(GQFKeVX%TsIF#`ykvGh z&y2j#h*v?xeU~NnjC5MX>D=m-m+URe`C480&#WWYiE8FcyX1q1BbALx5-!x|u-l4l zn>=DrPm0TFkX|EDbaUXBSQS1Y1Ra6bW&B7Q83t&CB1KXn$ck>8H6Q64E6Y`flM( zB7+5NgOt@{bM%IiH;#w`{~R*T{am5f^tV#CcP?Ad?tVi%I!Ld*A#|rjek)6LN${;? zcBFILy?Y!~bxyGLWS8o#{6+b-#<J zqhcXD!uMzO3i907Li$LPgVc&_YG^h6n>I$>ZNKR=2q}^V%vSJi`%*DIxFsE9B(iz6 zDeCPdgfP8@@+lKx)VcmV$Fv-FYr#j~<^n6#FHTE~N1_8q_heB!bOphj{33T|uhBj~ z!}jMcS}8?un-Yw--v*^At<;)G6MMV)HB;2Cd*Dd~$TU9=7(d5bNcbs;Jjs~WKwW?$ zy=9@$GaYST)ObbjZe|jCmVIHK+9C~Y6!w;FWH~dRCwNa|?0d-s`xMLTLPQYmvp-wa zO?VcOYbUg#-sNFPt1yF~)ZI_;$m{dlCT`SV8%fG{o2E@p;#y9NV0302qbt5_0(b1B;amP&v?M`Q#?NuBztQ`&ZU+K`49ac}?)M4Vg}+CKM0~Hk*SfD-+E;yTc81oCHuHY( zB*HL(nTh@KpXa)Bb^~#Q^r!!Is>sJCDdPTw9X zYpifmo;p%D>AucQrT>m@@i40$o&{JL8-|oW8s;6W9z0zMX3G7>xtuewlCC+2&d?! z_k+;0!5X6BPU+}iy#BvS_!~L@JAB+B_Coc>3S9WR*85(S-g*q&;+c{ZIk4hZ2ye!iC(5L?5 zrAw*`3LoO*$=qx8kSO-YCMG7MW!7qn7n{iw6B9GAu%5!ARDGXJE=`5l@P`IMF^$@LX_ zh}>i0IOS%Q?&c0=nyqcbQtE`OUlU zbX}7m3w1hs`}XaH?&O#06&1s`j5<+Vs=b5Pn{LZSqAiMiy!ELvC3_t-jV?$lX)bSg zA?aIN*K@;4DsGpk)6Var>cUHOl|B;e_z*N#RZe)K1dt>;2ZuLNkprANltLc=-L1_G z^!S%A51r>x&2LYyjFwua*Lfd!7}Ihk$tzm<^C_R-gi<9HP*us>>g8xFU)0D$FhB6A z%BTC^4e!7LG}~H(+hi_X+B^2&mleg+Tx2;^6~L$Wn3DsbkvyeyRW!B6@hwT-lbn3HofCZXoQ6`4xDITma0`B*Jv3LmAHY0dO=0I~4k%s<_hFTOn# z&7xg~&Uq-IOZhRUcUUC%Xfe!5Jih2F*{1(EBA35}9=S+ct1c+2qNH_tVgJGZbV@47 zS?w|_WXnB#NXW&(+)KiTV%QL2ZaOq!Z!L}FN^$YYMSHWLYp-Gw*1Yg@7SF%?H$*&X zYY8u(E43OaI;URdvAv*>;#QSIMMCg8gnUz;!E0PQot}KN{^^5dWUnHsGe2R9I#il) zn0;wTHmz*1;*^6XuTnP3IkmXaYSjX1WE?aQm%Dao^ah=XT2XQ8a4`14WST5X}KTlENhjRhvJ<%MS$|OH>OD=GB z3b~*wI3=Z)QeHS3$2gzz7V{!tvd1YC{aMlQ;i+H$4fGy*)Uhv;Ti^Gn^ah(=e0OvW zH#hhG&X{fKlh3CH=v-HalI2&Vlq%6i#1y)g8&T=KRgBhy+GdHU7gZdVlH~ zS!d__2+5_TZ4YeP5nsQapGqyM3KC|}gi_RGKFyCn6Pav(I1WW0qXY(6wV5o<-^8Fyn@K$X zGDjT4r}Xpgnn-P;SRsm#b&uM{y?FGq9JGxAQNu;VYl^=J^mlS|1ea3p2r4+DUvqE` zSCH15X+8;c%xs}d)NuZ9RsLUoJkuIC{>!38uX`hou)N6w`ILT<&eD_Cn{D1wlUGZd znPHfV>Mz#8dB{OKL2coW2>ZTOi}pj5+P-jmj_&@4?)uS$ptBK2QcBMer8W~n5t(Uek7s9RM{7OH%WS9edV6~n$W2fb5nCzfSg~5%`_%uI$S|6DZlt;- zRH-_T-Id(&@$pw`tZZyU3j^7u_A`%f8zJVWPMckc;}$~Vn>VGE{LxgXI!inB{eXXa+?}&EsL9a&e50mdf!T0nlKAlmME+3rgO}$r zJ$F}7{SSJbkk%wR_JmZD0{Xp_wANuNtQK`>{S14XQ$x3w@ljjxIiwR2(xX%sWoUa; z74N;t|GC51rK9z+nWRP_A%i*i)qF-D?uDn;manH9$(hoqS3neZ}IKl|7|JvrCst6kojaq z=g6%S`Xps9ySAS&Jg)Rcnf7=gdidhMr$8(C2sK)6>)T9X z)t463+t){HQGjl|MKmo@>U$c+)5IXy$F4toc~r2A{lr0d<^kb<|K`UHsfC2ZL?6jF zW*64ogq}`Rl_EY$FHByLy*_ZP%fN6eeF^$yx@q_1{ief*nlt-}Ec3Rg9Vy08F6mzU zEZ-0#zJFIgprw?pma9d+@rK;mMbdsi1bIBV7laq?8f-gOdAnq2id~;^{t8MY9LgvU zYQs3F?Vu{B(5FkDLr?t9KNU4HE5dl<_maZqo|geT`n{vk4!uHMD|^!9<IZ7%fj+P+QN? z#Hcq?t>F>xtZ3)?kS7i~n{~~~gQS84f1;3O02f)!#K>qI=&#N95ucLpYV1V#be5%4 zL6p_dnO4D7*7DlhCFNy1`SOExw-Jya#6_qURaB&ufO4-{sfl2-)P4%ZzkADpiah`F zK}19ZdC}w3&+li{PN2%T9}+QHp6rA=hZSiAyR;ASMyixyYVgKriU_N1UZ7SSg($A4 z>xw^k@wY~^j6hXGqkq2VuCN?pJ^S(jGB$mUia=?$Z?s+nDe;X#u$?`rS+0=w^N~+; z0v%$|H=kmP5iFrj0qBxZjDVEKquz?qrU4XPQ-*D2PF$QSa)Z~w^8s?Vztc6UM4|Ty z67;Y=#C8OiaxeUeSbAUJ@!?yl$qy}mj_|%CCaOe5spr%4(*wEM<&Q0lhw^mymx{ZL z14roR?{atI4?ZlS&5aCCx<8UlTT5iL=PJOb^N>l?f3nf4i^(F7fX;5__8r2S?Z^K# z<`O4Wln-@_*U|Qn>FQ)HgYAcul!xzbvPH5#My;sL(7DorTFPF8DlXK?9&Q;-GiSRy zPljA=U?|t_y&5`hef7Ukjm(RBzUTg(?=hmjbvw)1t4ECsSvfiVFV0?a`u+*GMarfw zvZ&Q)jKPxcr8MG5Q|)1iR&P{MWBD?ASd5d)#8VaZSV};z_lzd5$t6k1K-FH=B9BYH ziB)U9(YI3ma$mnoA?PV7lCZ=?8#%roXXKlL$w^gyK#M9h@1c%}ijp2IIE`tm`b^Tz z{5$p^PIc$CsbnkOxtHlTZr;qUs?w^gtlZc`Nxy`6%hjvZ()Zc>n3e}1YZGE-G{H3QiPV?YqG9U! zLrwmdIOYG0A3S?J&EBZf*Z<(3$37<*PT|=7vYx0?ef|113hhVXA$di3OMytD ze*^fNvhVM&lw98XPCzqcXlZG8ih@Xavm7yVg!g}?R-GIl#PNK% zOEOb4t<&(s5Mpnk_v1Un{G{jV0Fk^<&$nybB6&k#KvLK$pU3%NQhBgaJ-d4l7Q0fl zn3qOyP*85tcEi(Gbh}>}FL!gobt)5r5rTn)&+ZA0gxl{JZp%mkr(YigS1QCD=h}NB zS+tjqG<9`zYierJ2(DeLJKE7c_*%f`gSw6?S; z0w8hveD>zA!X}EorIF%Ncz*PvEgmQs21(WQ2~JANevXm|huXX@4D7AlZ%M3*P{Pb< z)~Vv`?5wm%=6kpvbRGX;B%8hsWfYMdA62q*B(tVr*Y12@y5h8e4tD!739fqmvv3Gf z(ldl(4g zC6e!Mu=IYtBAVkm=`NwJ=WgC6E9@HP~R=`XiqC?fu==sS7=yT4E{| z#>#CUE_xmBVRpQr#41zt{b(N%T!_@R>48ipzHr7kFqHlA;!wWrmtR*q;`tqy_FlYr zK^OQ<*C<{+K6`t2dr05%XLG2Oy!;hUkx*X(p|ww^N%$R%6MovDv-7GLmumT9F^QgX zFVEpS$gVsNi-`CL7pB*#`}q6!Ovv({%|sQq0m4s?dT4Rq3){f`t~7o>`@W#mawtnZ zUk{a|r;j)n8{*i>-z2A}s;=HglYb4$nTeTMHq>v};{D@;)!FThlioSjTbEl`cbTqU zFmHZOwZB_`GSN@<+9Gf>z_Ik$WobBBuhzq2s?OVEcfxg9uS_pr9U_u_cczW4K4;9P zy2Hn7xpZjZ^La`YAON&T%fXzU48_!~hMW45C@i%A5u#;gy<(8pr1iS4W5;Jt>LjOL zq{q)t2`-4e*}1t^%x252RNxaCXtem0&q3~7dray?wd-OK@1*%!ow-~fduwZ}(xXSO z_qXO#XWOE9oh3WYVGroH!A$FwI|kBGtfd&X%AY8@z%z1vShNl90xb3{+R^`ve&cE8U3H2!2TS?R?)O=>!31C3p8qwS2wY)w%;Y2}*CL zgngi^M3Lj(>kT)#ZN@7EW`SNpszpGVUzw`( zsS(~AdvkHN2qdVLE(zHFb#PQQ8>y``gh!iq`uQ`{_UL5A)W@0dXjlR7_@Mqo8^EfA z^=@{4U9Y^)1`#&bM@B|A_PnH|r7w+{6)sKH>nC~d#Q1Dy>(6hrv8h7|=r6O@HZe8L z@;y1mUY*PL_%LI!9#RW#2ccZvG@)JPl(`tRV%iZ)?3~2!H(@8Z()-!S>BsAvtuyP* zGwT`97x5@l6>^}{F{$T;8+%g$canD=vo6oH9Lj6$>>OlBk5A#9bQ1$Ki?{sMcwkp& ztinE(+*eUC^ysj5cT(F-zv%$!!i6tPiQ0xJ9%Ju{u4kpVC5!shq_sNJ} z_>Jz@Uro`?Pp}@qI6iY)8!ofxYpg5t6rupSw&x|10EJUAgarr3-1KtyspZMqF_{>S zhH-~B7Sr#ap3~9OHyIlnM?(JN)TX=L;~JgP#C_qP|#M0uZl!l7xAv9cqDL!O&YPbymsaKr=%_A-off@lWZq(UczE>sOcQBH6A||tc%)`M*OTL;IoSJP ztuhEJx?7hU$9JGqRE&|wzQHFoWn^Mn>}Q7(_G(e1&da^uTTM;PRFu+vT-iA=uWEs@ zdI@l$EE4I@zy6IVb&%J*`$P0LZFch5I^-Q~Nm6lf@glK4W2c|-(IG~(d{IVPniC!` z4SJvAnD9n3jqcP<>W>TYNN3$n4<4&wg?#VGh2aHHJ?qhumO3Ayy`Nz_n>MSS{{5Os zy9!1*mQzW`Tl8TG3FO7ODJj&&ka86VTs`~L>8~%{d^6w({dM?&-XSIqHeqJ>Ko<54 zRH?_P+ag{SAk{VAGP0>&=BdsdDK;Bh3?dgCv@vT8ygk<^FPclF4PZleEYPcC%5$|g zZ?;otQ)Z})hIV6=jKlaXx$V!Na6N#hx7iI}#oRM^F;Zmmj)8%J-7Mbz@x!L?&{1>x zCZC@^zcd@A>!O)38=905$*TJ_Dv8fNWsyhd4d)#0rq`|?ZWn?tR`yTJj^+-^17n^o)0Lo%t1V~h!;xi%%F$F4@>2QI;T!gwF zd$r3l_UCg&ZLHD@?~=MO*~+$%j{KYLoE_3^wZ<;XqY)@?!l$d~FgYo6a*W@Gu;&gJ z-y4;8heaB?y4Fo`Kn;A?bMpfN0$$bYysAS#>I215&|tltvr9a8<{evIMsY9#i@t8x zPf->h1qNPLR#Y^=CN9M9P2Ne(V$+84V>mooXNoDenIPu{JG${1*=pBSmkBd+0jCR| zlMrI=fg2kefe1Lq4v0k=Y_<;W9&UC?!i(@@5VPw}jEtm#jeiQ*cI_E7^-6 z7O|_&l11)_K1iVrMNJGr!44wPXY3L+3gkanDqb$aKf>r|8D_7#Z~yS49Bn&Z5AhxD zq7VBHT`g(1`~ICLd6jdquf`SucxGl~yseTC%kAQSL}%~2*QP(()+xL@UeUA}XIqDt z-G$kF-LN2Y2S^X8QO=?d$U;Yl00Y~*lf@Rl4d!a|4)M?s)ePynCRkR=B?yd|ki>qM z-Qi9GNN6|0Zq(RsVY|06yR!jE>tp9ebC+Bgoos-Ij2LUxFY0RSRb=6?rW;+F$XzQ2 ziP`ET3#T3R!itKD0>j6*SKg4?ydAYESuADWJ|I(o(x@O)7>q4FK9XzH3|P)}8(^=J z{#8R-cOqmsf4V|ftcn~MUx)C>R^2|C@-NB@3c4jZpwQtztu7Sz(L981uxwrP{lz5` z71ujgFDynt*mwM1pZU)b$jSx*$1}xrCKw1iqu2CGs19~lU4`>PM2{;NSXo_UfAS5r zw6w4TIC7cJg7}1j5*rY3aTBgen$%?$1-(9teD_yRY6sMMS&*e6DNP}h41}Mt)o%4h zA3T|?aW`EWE}UESJ*kE;31VPk;(UJp)0vkKlr=Ri)beyJR%$jo3#=JgSe$bgTj-N6 zGu>pXTpB-y-u#-yk;1jysKm5`7$S3i2EKtOzEY;1S$-aC8tY$Ikf#w^Ku5SxKe zaHHX*2lI3-Su4K3C@AXj+Uk+Ov$kdI;x@_|^0@nhkg3l2Sf$UA$3f*x zh^WYq;fL$Aj(WmSBwcEgU!}7D$e$8l%<1yXU~j~>2A2^Y>rrfFjss#8yRh(-=<+#P zP0g4XL020MhpnjkLz8~K>49>G*;WDe$Jwjc&eyiJFu=5OOeX5%l~5%n91O(dOX8Iy zN5{T2*&RnnqI;w~Rt1!1#>T^&wVt~!)|?!lNtcs&nkYPTbg}(q4kV7eSrQtURgx2! zM*z{+;rER#nP}%$4^zx zi-tB$fN~8f#!x6i&%I~3r*;0*HnFj5&?RzU)vJFI0zKter52Q6J$2H?vHH7o~`uaK`k5UJZ z`jzEJww>mC8^CU&eL4d8=qszB)o_78n|hAMwHxX-HhBD$C);lb-+Zi>alE!J*5z4Qt&?4-l;e_#+xj`nva^+@GHyj4Tfce~7oRfw$6xUu zu5mA3Joup9b@=3-IkwUiIM^W3;=85AIwjuZnnTT@G|Nqpb61$+n(bkW<8B%@(C!hfc3>Uf9uU=Pby zYBpM#c4mx%`RNw+NC;!Td#`;yuiN&>X9s}qTqCJ1SCZF;|46l~ZToV-&&coiwZ7*d zdG+*cV9##es7G)D??#W}+0!l4_&y?h+P4>rmp~7FEU(EKc%Xs33E(4WX_aNVy1L|p z{@-2e4|IFi9|aKW|2)v59;$BkO{~;iC9KpVbzF0NHnbSDcj+v~o!7Ye>d^6N~}G8-TB4vzrI0oR*W*o}*pf=>-ok*D1If zxc9kxgs4C{UCvpA`TQwdWhEsgv%s%_A{)p=do-~5XA zE+yq3%pt`Hh$MA+0oj6J1MvD~;bhs?m$Z1LyXz4r2gh_{=mkvW24p|kJUf<{6e73h@7VUjBSk(7qCLlO4x_EXB6y);_YlTjjv9|MMihh_H{TLqiLlh zhfO9u7IUMwx!<^9#8T!u6SOhhq?U(kSj-d=B(p|WoS)FtX|2!OXzy6pm@c10QCz2C z*f8fpE{WhVLJ8)ddj2foRiJY_VJ_#$ZZ{Nks4=88nnsIs926yv&99opwNkeEiE6Ow zL;E+KpZq*nT2sg$_U4Mn?+-^zFA9yCNQ?saHj_@Q*j$6dJSLonM!LFUx!dA_VeHI^ z9~+Rxd=J`@P66y0T_3+NQC;p1^|&KS-{-dLl56>y{IP@dVqOn15z6hQkv_>mHluMq zeNOs#yBETuUcc>zHZI*@zVL1lblTvNV^CL?i^?Zlw0qb2`NI-z)*mH0W>!r$RO^uv z9rNFry!W6p5z__uZrqv{T!Z^{l<7 z@pTIUNzM~h4ZI%n-PvbP%6MV4G<%}0c|`2nNbv&b4BiPY)TbInV^zRu(x&?d=5Fk~|g|hSn>1tw)V1 zJeSxxfuR&6`7|AviAk!eM(hDA?*JLb3QK1CAo2@5;#+df(8pFfe$ys@XX+=h7({W@}+#;cTOF-90|F_DZ$2SZ!4&8Yt$H6IOKnLK3Ch@ zCVtgf6rgPCAjTya3pDba)zsDFW`YGfSQO+vYnpvd_zHpO!XjkA_*i!Q z4T!a%P0wd<)_|SQZ*t9}cE|Et$8e#MEPz+tW7r)6ZHi@YmJJU~+3LfCPat~vm^##n zxUP&_1oHpB%_A&40eUj$Qt3K$^GchSo19h|R$$#Pii%?0s&0y;<{ylvFp9>b}-7~~wa3UH{Mbr&erZKE7EhQd0l zM+el?hhL(bqupS4*?A|N!se&y>#@&@#Z))-y$an=j&^0?R{~laLg+S+l}5V&RzZrn zB6`>zc$>5FCk7J-q6eqbF9qzjk05bi>Xy&8fR230WV&VqnKKV_B;0X4)*PRobpM>2 zBWWQi=TPZ-g-2xQGvXNcu(oX6=AJ{(qnj}c3kwBF&JuBu0TeDm)62zBdpWH~xrSzb z1d4978B2mPtTD|#_;cOuOI^2w4{pLegNMUWo!!^>Xge3TV?lN{;DDPFUm* z31wGfOZGiEm@-(#h91D2Pd`Bbr z&`gR0(*wGQA(owB)9~P2V6q87C2sm8FNbjfoBE@j3_N0tr6ac3L5W<^n09w}Pc!RE zq~qn~T`7}^zV|str?OWFnC2XmY93&vjjOwHH8nzx&;;Y`XBufs@KG{gtkMMtc z@N2vo=meJJ>eu_EfexC73Eb2Pa<-x-O125>!f>`lvN#5@ZPWnK`B1s`<&rMZNGRqI z8`C~1l-5<-gWAi>;W@i2L;Ak8ouUtnWShtw11pz`+GIcrt3BD@S&r+*55f9eSS_Jo zawzm<%f8N5&@=iC;b`d4MU1F;s;p1F=+dYi$gQJo92^{|szU8w8rWj$(jK}ETHa`W zSU3NVb+?o{n};VE{?5VfLWu>tZ@YaQS5jdJ60m$n??>rn4AA8-qX}FVD5#U{4Gj%D zjibow}Z>>w6EB zHkq3{9AI`JWOVe6Y);-M@;jzgg4FZ1)p=!n+TSE1c2hSmDXi*j9X037?a$h6bj~_o;0AX1eDNYA# zA|Ff&HHr}W%%PWYATM>qa7w_f!w?DXb1|UL#tM77)GlK68C4yf9H432i$n5QasUvX z3Q2PB$usa{sEq=#Q#x#Qzp0Z2K%`DTd+A0-MusHH2|&+$2k%rk0xQ#b09HZ;*n{Tu zbSN*un__EuOdS|x)PKZvKta852!?~#1l|Cm9R!JIx@_;$=_|ip-_%opoEk5hX$lzv z8c4FE12w3VZ|1T$I4Sl+uEn0aHl@~MgFap}LA(p4LweHY6UkzJPk~qGwe74-WCPQb zM8T*N95(H1%G5{iZp=fw?}sBKVp2h#gDOBu?IR^>C*uzRDY$T8H|^)%(AB|0aPdfbEROjy%K*NV)zk2irivK z6u-I=Ryeb%nokqxGBYz9au*FT0WATmv0{gukxe}y9IbjE@0aC9P|C2z zmCMR_CIPtsS4JK{G!U!lor78Q>vT9x+q*%c%7qkNo~TyGR){xODD%LaXz~hSV`S_F z`jrYAjU)=ZMOF|C)v&TLcD%+MV$NmH=V;#oD_uB?>uo|=aB637GVe)wq&U{m+}sV^ z*?Fn3X|!vgzaKl47%Svnln7B&uyN@oYybDpFPEEIR+6Cbg4@KJys^#<)*BYhBIfrO z^UL#@{BQ9)ppW;5>a&W9lt2tE%$IM$`UP8XR>L7+@mPav$GGBA>#^M%%We53@t{rr zIEC`$cN2285A;jk6%6Wqcj?`qImMm5kn4ttG^hiN2F7d{O8z2N@O8fo{8Hy=hVrC< zQr~0#;j$(WRSm^mxNHj$Q# z7$Jx*OQFD*5z>=?XrCikAWb~^VYIA8F~8B`IcQQ4>uP>R$la^u=dT9D+PY6f5lrQiG!1q^kafC42_NEPk^nn=T%1+++5`% zIp~U8?)ZU9$vM}Gv3$}advVtchvmMJX^7~-5+?w%aFwp$W;|Ior<*oNQ}BlvGW$ko z`Z1f2jz+3C3BD%Jk2`kBX6PXmS9z=h*|BbRLRD(e?EDh@HfWGTniTF)%jU{ath!%T zslmX#nNXJpOHy;D?YkwkEF|Iv{ucZ?!Y|38DOi#Q>O23xqxso~L*-jg! zW7u^Cn1R()-9#PHF0e)!IXSu71?OtqL0R4jmDSxZ?d|OX+q53cV#*+C>;a>+6m=o> z?HZxsa|%qE5TY9`0n4Mt(pnM0MYXsYQBnRb{Xgt#@ zW!F7ut7Wm&F5&3*9;a1{hjr~{r=WA^fpMC#2ZJ;RbpImF8n?m`C=A10EeT?luhQad zsu-+DK>>|Y(Y6s=L3rj#sjV(Fyu0a#|BheuhV?sxdpC;sxVc|0k@(9c;UpCsaP z+ssz3e3PB)sO#h~q@}AXf0sX|{W?ji%kkkJeipr;V6`4bsa(Y0i`PSVsE+2^D*6KRv(}^X0w6L$B((`**Gme&rj%jxFR4iIDT! z#Jhtg&_3Pp?yJuTwWiU%u4wku&N|1$#r4s(gQL89I(wftK~}t>nN(uM)bY$@<~lT>D~$kwshcj`8Ef_w3kZ}`zD00S&85~!Fp!F zbPb~|{zc)1j8wzMtNbn&zb;kAVIN?2ym7o{I)G_u78KwbP^(M<^0}ng!D|mYy1!_e zuJ7!5nL?>D*ye9ycBZ?zvAGE#_dfzGw0V3|*Is_CG&4PIICS*uaGFh1bl}n-J=A&S z7qh0m9PAqI!TQw6@ovHI(Gm+IEGy-)88@e=oo=8fKlD%Clv_n@Z>oV1oanuyS!~fq z$LYMF;u+(Z^9`*1f@GeQqkcXb8k!|HzOaGNKHz0K7_z`aO*)g#_ILsNL;=kLx_788>yqg8Aq#QyHQ4o+7c(>SWhP#jlfmk+%F4<{ z^bMdP{iDO)bV+T&qKYN5aAQCiWRW>{+1Se4z`4zrqppCqxFeeCbF`>G0fM-6a7tZ4;k!o|H-;bFcs}r#NR+_`JoWtk@HXS*F+_pE>afo! zyk-68-vv0|$rJw&DPo5D1@i}Q-9_G{b+h{%t~X&lgm$pV4C%ZQ4!psR%4=#}cAmQ~ zRnq9;dtu@h){h}z+J&@i5N=BJJ$CmzhCi3KRU8?8<$pv<@WuM=%idn4q1^%n@=(0V zW=p+{$!_law6wHNjpAfS=E&wVtK366%IPvc-zy|9K0?RF#uoT?V-fM;(W);m3|6oM z;4{UZW|AzmpWHAY!(qVPyJ6;-w~hioUJ-pU1cSpM=`(dY;LW&?(owO+odRuoq9yI_ zJP-q|kNZha$1=iEFt@ z*!%bI6^Jg-hF>Mj5|_G57+`L$B>vzk?pfSNXvu5hXBwiYKU~MvzIV#!PVG&GP{LD+ zc&ZG^X9y*!Ou{-=_Kr1H`O2*>eaNrd6Ydi7T%D+NOpoWs3aI@3A0C`m^_aF0U%7Cl zV0BzI_c-t|4Hg4BVLHiq)P=;I;GpTmZ<8 z&}|UzbQIp%3dyIqNH7w1QtMMML7Bn>aCsgFfk1o!@7irPLVXPYLkh67CG&E@-#{UT zx53Fw{XO-xbQ+jV00ukENG9(TzEa#JvUu;x22C`)W}qAd^-~z=de|)Yojdn8PC63= z3vDI@T&4;P#IW@T#Rt&w3!wDw98FHRo8+-}g&h^Z;f|GZn~4DM04_gU);NOjR4ljA z9k2Dg333ac@3GLAuU~th=)z3UIVviu=4Kd0sDxqoGiT4@KAV>O-4VyT4vuazKwBIu z2@`C;SIN~P2GGQ^GF8vUAA24Lnz6wUC{n0H>!~_jgS0PWV`B!#IG>C;a0_BE-;?|1 z?PgnvRq}Lht7Q{|CuexFJY0A>IXStxtE*{wteiHD02Vt^NmXohhKxgZh#AN z4rUDe;ku`BK*D>%6Gxkd{OO$DV}6y4EJv#>zi$7cNn2zCG|6Gkb;&|u?3058YqSf6 zU)a#dh_-3_CYxR$gk`}&`IJwbu4SoKiRF--66V2!2a+-};vc0VhKqqdBad%(n0UcJ z7mB9j#hoXhIR1vwk&zzN^|uMXg|8i68-SSt$=2D`)sS!B#QSqJ!-R{qa-#vYrx4s= z(Ru|l3pmfdeR~9*1A8W9f-aZgC9S|DtFbbC?CT8ZuQV(y_;AzVB9lv1F3T5j-UbCV zK-w$h>F^7=tvzdym6tbLt^)w_I0VMhqR?2&MI}Sw`NX1=!0)}iAJEy~ll7gmT4wxW zScroo;Ii}y>NyajlOiAX%GOUr0)Q|Ucy-es$u}$ zcqo#nXN+Aza7c86LfL4df}tm_;O zm-Xm%U|C_^(ZZW54$V#1`THB+0lPf}Aa#rT>Gfbr(aywtnCIh2_kbaz@2jg_ztzFz zgc&p%$p5oAcE^YA*Kgb?`b{mWm>LRC)lv*}N^*tQcCvl$$y1GbA7N^0>H;7#;*TFo z?N^UG!9N8NWw*a&!Q+Q(wHXZ(F)q%|>Qo41axweS)_mXE`nqDt0kG%Lm>4`?UtgRB zuMWj}&QimMRmOut&HsXN=56k{_4?>Zkn~ z&mlySl;^A*Ux0V{0bU=2A=+5Fxl@<&(vSt z`?Zd#x_8r*EJa)L0o{c&xTmsGE@$DHDB$Vcy>#VP@^c*AM+Ma9A4y8!+9s`7m6*O6LPfMc`x-9x+En!g5MDhVt;WIViW3E~zm_)bibS8Sih5>M!3 z_`XCB(A%w;-k9r3V!K^F+dc1;WjeEjout0Y$oOL5sY#7${?J!*F2-pOm{T!%LCeC@ zVG`y5nXVcwRN=YH%K7>_8Cm-=aM3TI0_b!~z^p)WUnN}~=qwTK=|8WY^qF&E_cEbv z_$w%}v_b?0>nV^UxbK5u+Aillya%Hrcd+^eaOXNGEr$~$cONlGt-p6;KBYHFq59;> z9iQVpvvi^krNdpr_GosEVpDvgiyF)~ax@B0!3A(|UcGr^2x{IhFh@vutjt{%zrIX* zk98Lae`LWEJUmYU3_={jOINNO_OP4Oi+?OuNwY+!h9t=Fyz{PQ%K{2^!kQNnnlTIf3 z!&Mmwl@Q&wWhOf4N$?I6cH?1M2{O~DkwQED)MJP0uU<)K ztRCK|T%!{aNz~mWI)ZtX=Wh}2z2;nm4@LpuHuHFIc?g5%;rH_V6{#EJVE;yWu~AVy zpmNfxbf9JOQ_D6Hdb^q=RO=t+oFL~1#`epB0r-o*R6a449l*rRNHJ8|2kCvuAm0s_ z+a^sXz(QfhdDtcvl=aXHb7T)D>2SJ1wDbRT0?LJXUmAXnS~i-XL@W1&dX_a~#t2E7 zRxV25C)EbCNNyOtywtu5n40$R(g9u(lU2(QL5{q zzd4uBps9jcKb^VMdOzeA)h+95uZjvpyNs_sqt`PV%L<5AN+>Ozu9S z63@HqW=MVXYO%n2aPQ!Ni6_9p!9kE?#b zNY-@E_31}`r(`K`adB-%a9jqa&OI6XjS6vvE-&HXA%HWcqpd;!Z(2IH5qP<|Rb+kA z!Us6Vx;KPlwRt`?s^SHxpT&h5XY@@IZN(ow%G{Yc;R(O!Dy|7Btz2d^b_m@|$&tJPnG!6)a;YL4pg1Rk?0Vklr zQ9d=2Mw_3IPy0t8c`0WK4hKhy&z@iwezyI~?%YkZPKP`|qA3#Kk4op1w zb&O#i?IUFXslN!69AV4dbvo*vy3DS zm93JD$Vg=rq9kO`sLZJBO|l8e9#LeAtoM68@8|uz&tJc%$FKW#UFUfo$MId~+y=ju z+*V3TH7y~OjcjW}=ABmyo;*+`edT{%D1(+1yx5U(IXYJd{s+@3R@*i>r0%IuY=AXl zLo@uCZr>NN6;$!0!?}8G6k&gbOTRfxeS z3SG)?lG&8RKRku)mqk>VUj#C5#NQ}*ZQwFadKsCR9h=L zO?EMYAAjp1Y?LW`*R*t=>Yc&wm&5y9*W?njgf4!TO=yXQZD4YfXhu+xxVV*KR#tw- z$ceXI=i(;1@wrVL;IfL73)^N=M2?Dx=(IR>{8Pi;zySHy*&R^}1Tm)ZQ39fVqM@er zE)xovt*x(rZc~Vb`Nqn*{`Zp@*Efp|`xPEv1_te)y=%`NGk72-H@xYkpS^z1DrWJF zX9N2FEwc8%ZVXlWrRCPeRQm-5nMe3q1;$5++a9iC+kCHb6U~Bo6I!wi7H_CM9|0gH z%WNT)Ok~~tZBTWh>Qm~+Z@Rz3DI;6ICCJ5 z(VgzdRbZ$7pBU+%RBC)?a#-SS9syC6TL< z+~2>WlZT!>r)tU8@VM?~9iM=JqKOHyWW6Dr+SP$O* z$dmsFeSGc4Duh0}`?v4dp`ZBX#va{Dm?;k4HoJP2XR|X^*L&SujFn)>pPosmd>M5n zVSkZn(}T6uIWaRcvu+OzuUDI#roLB2&x^B;E^TqS5QCmBbfl@R?Q92cTtaEj-W~Mx zDNsP>tj2h3gj3S7TXb$*LBDGh?$UFQ7@fOby3GuDRs0L<`Su&A6nAk%&I#`_*)s{j znDX~-r##BCJrO)s)QIn5)XSI2#?f$AJ*&IM%^lfLfeEg8ZDqa=jirs^mnkMDM)(-D zn9MP=P0AEYV=7DI+Z?HTu5WoRAQ@|*iJc*>JBUISERBBRU93VS$>?t*cN1=87~18Z zwNv;6!GZsDUx`Odb>KehFmZ{yzZ6l@6Guj_`3=jEm<~CJii*An4ON2PFqQz1?Knp! zK491kDNOB_+&ys>0OREON3^^7(6d}^V$1AS3T;!szgs|$AL1N(SU*1en7N+3JXr!i zBWxzmy7Zh5F8t|@WIbW`_0N4bH$EYuz)=144z*vhrk(hf*Tv2n8L8lCW%9Y<_H6#` z__zg445J5HnY!rusnfq4P7{Xy<~8)pT{$==n1WkHnKtkDi3&6cSKS-w-$qYwzMf>+ zmh2d1i`nvJOACfCwB-Jn@qSp*e~2C1)gHdjAezI4>YRPeJ#OF@HA6GvPpU8)X`@P| zK>pZZ=YifkEwCCZizt$<=z9|&LdgQA-T(< zofcwh>{_%BVo#6F-J$$cAu_v;2JNh)qd06fFHzoJ=UL0jl5%=V0B9^V@M=b=uv>&{ z@P58ENY)S~VL0fiE>OVU$o|C7tdNUZ3zvuH_-91G?{Dz8rgzb$3RUW8TkYtw{t2 zp3`Z5%|dt{j5iMsR(Y<^M)>k91>L`Ye_~^ObyCKiu09NQj;yz~N+Tm9&FGy&J-F=oc39nqT2hq(Wx0nnSG0$6kLR zleCO(_9uRdXRvA338x*g{qe+kWz+14n9fg)Y;7Y z+zAJqChc&#g?zNX;-)HZXD7tiy=Uh8Htfa(VvvaTGcC9n=kke* zTU^{gcLP)7n{UApo}K57K)G8P%dE|Ka|>x(&wUQw#_62#lN-M)kDpnS>H$X8!Z!uR zbkZ`|;&%&#;HKoN^Nz@oV1%_V|A^u(MSA@8yxj4G8s?7#DoqM1q7Fnl^1fqsw+;sV zp_HDsj~;y*mi`FeU;USHqD!A>AD}F4#a2y=jn%?7`QzUUT;`K|R*ZoM2C#?@1$V}9 zQKyLsPnTdQ%~TIsTh6;uLD{k3yk#0%KhDEVn3+Na8au>2f6z28d!MWZ8XhIJZO4x5 zw?`v+4$^Q39pZ*B%JKI_cN^PpZ}*~w2<)AwYy7dJtgI}}R#lNHC6I=O#(&fBo$+F= zWryy-Jh@6#*yzYe=Fhd{CQR%X)p~H=>zzG&P;4zT4i5AeAtBsxqARZ`Jd0QVNGSD6 zZx_xxVY*ZG#P1cZn2MKTlJI0XmQ2wuH+%#Nll^;d`OaK5XaDb|c@vz}+W&Mct{55> z;18Io-&y)Mzo@1Ouz1`2jF(1pTp@1jyItRV?%xb=e#u(S+eQE2gdpSh=EHGPE9K%D zYa`FK&-JMNhz(ztf3AG^M^Ql|33#sz*az0plgzGyoS-(L@NLsG+)kON0b=6YD-{ z`N*u1hS*Ha_mP@1wb|(hS}6)Ru|y#je{@lzrMZwD>YnSJa|a$i;3~Bc8-gIe5=Smi zO*vFon7r*Z{N0=aDDQG60rnO&Ha6aZZ&yr&0>Or~yd<9G17%mT#vt zu8@(F-(DEkeSP{aEfhs3Zx21JG~m3+w4a-s%<#QQaA7)S-{V(5*u8%+?w-D!%rmpJ zbfc!dgMFq;K|^DENJz-8rVAgelAM!o{M^1g-}R2&ZKXHs_YL~^D6^H@dW<++&q+S- zNgE0BtatH^2+(brcun0R8o-KGa6OEEmcbHAMAPRZ%67`FyH92pP^(1A{99c$LxV;) zd;*>(Ir<@%`X1#doHXEVz6M5C*VH7yuHcK)Sh-L^UjE$Fm3giC5dcJv4P!5Mp~`pf zqDqw9w%m3qJ|dioqtKgWqf3%L`sbN5XNIt6LJoA5#<;yYkr6kR`2571!LKc$S}7F( z(q}-RT%Bl5q8t7)`15B9ONp<_&|5tRw_n@seV$1!&o%_l>oK}{EE8*Js__fPp!1v; z^X;M%g`A_MAR`WI9Ukho_~f>dUHP@Sq7*%{#W@GAk;8zRyYE6SlLe8< zjf4`O;UMRS{VmQFk;^(c>EBB{JibPrXtM0TLlNvAbt>Dsukcf)s1R3_`s_kkPnT22 z`4;Fkr%vw^=*;9tzB)C zZa5}jtQYzqC=>W;*tdSKqR&;+=D5RO1{mxH8SKjTP(Izm8b_9RL(pF5VbMpgM=zf0 zI#8QUP)o<2eWh%k=@~M+|KJs-^@oNNTsPYIZ4&!$?`%DlzQwpuNKE$r@-Xk*%+@G! zu2>KSLcB} zO|GEh;n}tdCSJYunedtml@tn_V#hC~D`?|ZaMA^T|klHgY#dMca*yNFqKKTO?5AjTm-!X$;VUcl{)Ovl= z3x=~&bj$k}^mdkFi055+qnG4=b_>lVcf&o!0EOjY1{;`~+VRfd$a#|s?+kpj_}gvX z)@_aL>+93t>wwtEtA$XCmoO06P(FV2NYv}05q*5~F!7k0 zH7qRnV3jU!1>m2T|3G9WYGzDJyIRZZN!g=f2#bKW3C>V zvPIeK5WTc^VC;=;CUnI@s|yp}?d|74&h1oqyj>3c)@lYG2aB}Z$vm6x2arU)mhp(D zsWkuks%&VM?KI%6L>{S@$JwSC%Ga*(Kqu8W+2((%k`o)bc3g>pLh|pAI|6-ZD0PjD z_!x!0)R=IGwBJU@BB%J3=5Xwf(xDSJglehoZ{%_7$LRO3LTMnN<=~Jza=*wl2+?h^ zz}P1D-aPWb_=DBV;^Lz-30^H0iuf>849|}rPyYCP7x6t;Q7!g1bvS#aq#S~&LGVY3 z$EC7#EYjb{D80Q-#fSX$2zGaI=U`#s%i1r2Dg}y4V{rUQf9=Rm;k7YZ;Y@#DUs*!HEJx=iAmlvx4w&A@2G|f6{_dQotly}Rs1uDk) z1pQA9oxZ-*&d$!6)AMdB4-;mMi}!N%7mg9z7*G8wwDH7a#B>LMU>heVXRcKT;g?Xb zx6iKRC`hM!XX5oyb=T9QwVpKntx6VL19$h6jh-6(b6m32eBnr6e8Tcep&|1h-g^zs zDeV=LbIFyzu9!d@ExWZ{{=Bp7llt0fW|Jzh(}Cd*Onx7?J9gKZuFp92y#8e?QH!8~uYPX0ZLIPqSjQ zVG*-n0Cf2<_<-_NXf09=-myYaV32X|^Z#i9{9s?6%letLD+$yC#~zL+o`ix=E%ER`{_3`rDU(!gQ2Cq>T;}2bq@Xg(HLgQK1pRHZlTzJrGj<@`p&pE->hv7J>+W$wPK)|g^Sj3Pyp)}fZm zV~^aid_t+!My7avR=`0LGQmane$S& z`4utN!O_twF$P$wx>y?jN<6RQQJn_mtE8*T2u=30*RP)fGCLw}w{Mo}RKRTc0F0~r z%da9BMlb*xVFV%dti?mQET1yhz#iRM2vK=R!!xiTSD|tWkxa96`L%ctfL#C$gUh=) zoN_yW6J{C-fU1?Xw?9e@eTBCp!pD6T*91_cYhv>C-?7Vg*1l|$UfB?C z6_)vf2`c84+EyFMON|Nuiw`XT#P+i+}b#cjZ-B5h>N~Yy@%t?=(qL36Racp7RWcaC3n7M={PrD_{ z=l<-b&5P&;UTdazWrnw)K{F(r}{9;lWQGMy>!)E6{Xecg+ zDqXz9`7H=9`5eK8_NvK9Nc7kl&kY26TabiOB7=j=mU(1Sbi9Lt=zpu@>=H_vYV?Z- z$i38ub@OUx9}pq_e-|@u&_gnhf@XhKownM92s{$emSym-q;TmBb2|p=TF`gzNl;M=X-0iOO*F( zE)^&`{ z%HX{kd1Jl2ytEz-kwh@BAsSbCh|%IiS^DTS9o_3dy5Ks~R|tt+ zx>4oK=>1(0TMNZcb9HFxkzeYotyR(Y`U~S=*N2GA0bS3|?`OSLtgW6|>-*>OQVFjy zAMd83V^0;4DGS@9v*d$wgn<8;PBYbT4`|zd1RS52`m&8NV~~b)vvBrtZ$dRjK_)>h z85xUl5{XTH_#eMV{N-uG*$HGIp~)6A4AUU2G?BaS`#l)Er{2r%x;MA3`7XvUv$Ow)ZOQVo zvm=atWuE4Gj{ElP@d2&AMaRmY+{0>lo>!QplAGZ&bGOF&eR@kBK6&3*6qSrNLz|k4 zN-3NnRpPIgH5HtGx9o=6h6LmxkImWZwR3g`i@|F-$}eTU<_~|7Jaaw#FUf+Cr<2v06^%G-r6y2S0A8m#~RqN=JW*x-Lv(eWJ+<|zJ+hn zm6w+{9{fMcu^R*~@a*~X1KnQ2mx?8^W&&ZPB@$(z@qeTqais8>-=()R#s-qh2^qkI z&5bLVpKL`HyB<-9MLP~ZNo8UMd@McyU&u2pg@DXn;8p~@aTI@XGwLtlI-XoXpS8b5 zO*CA?2>!{d+`;&A=zp&eSbaB2Q~k~{ClN#wt=FNOLsuXn z8}G_GKc|#7!6;=v)KUqPYreU8@RnES2r_TO&%F|V zNWD_zi}iYhnM_w#*Jkkg2jf{_KEp^OdR`g)*9R>RVJv?dh@ZX%f}14n^|bCbP&G8ZEN#?nSQx0%nwf#9f ze4tzM^>J%vl1kuZ;q%#wt<3h7;5Wt3ORvo+z}8}1?xQrQjNt`^ux?x{fF7FkOCLP^ zmA|ey<{NqdS*(VteOD9sfP)Ui;>DV{0(}eus3gCwf;l}Pb#a|K+vEa~G4}O_RDZvs zSFDBcmdsgO<@JW%rQr{y9nSFwSkv{AXm^H~ezI4J57^OFZF1c9lyndriB~$;-jI`+ z?gjY!>veF9))YQ_#^6&Zi#g@My5~C~wDy+y583Qz7KgV>a_*WiWT4=6V6Itz_>hA5 z@*zuL8}w`LNAH=xBa_us`%_Dj^L+L-zl+6&CMHjT<*SL?qDNHq89i$~jg250H-|>J z(L$V`Usbdw?R-x1ueFXoOU~jyl?~w-gO+yOZX|;JUQ6Hqex=U^(MBTDl`$#%rM_J7K6|%Yd>&5umjI8)_?H6_`!}fJB{tXTV%@?Pv>Xo&`qr zk*O&`%Y3w#smTRqHFV78;1PsI51u-;5;rl9tPjVD3x#{EN$qh8R0X%u5hVU7RJM_( zejrOqg_v%#8@e17Y$a|ChGF$02y%jP2|)w`1dW5X;91$_SRDL*<_mzKbfK}isCEaz z$_{`xt$utIbshWtTOF2~x12z2VnRd2#}9<% zD$B`v@n`{#8b^f7HStJ4U%nG3!e9YXK5qT(Ty70=sPubY31_e%2&G=K?1BKZs;lqq z<uQOMDU5zVGrriL4nD5X0`bPxlX@aPe%npbVYDB$a$UsI{9`3dVwFw zn@}9Q`If`lKUOxsm2|Ga(UwdWG`RzMyKg6u+&qC+16oPmxZ8a_D+%K_-Bv$UaKh3! z^`hF@T}4q0qnXla5GU6=H#RoVSu5k%V&dqB0J_Q*UD~t6`+xsjT*uSI(k3b$ z-}(FConfewPL8%n2Kb>O(w)OU@p(UgQ;`5E>mBC^enCIC-XFEX(xgp@DBjluupL@? zStNbnl6rf(VG!yKpNve5lyyt|Ry^7u(!^_?z0u&j%xckk5?2vp#-&!}^nLc6_2+LnNACBW_J3+DxFvSuopp0m=z6O2l)9Gp zNhb4Zy)S}wEggj+ZCk`V#PYPg-}I@6_6RW zX{xK6*%l*{M@>V+fdvqj7RdrNQYc9=_e!3& zcE7hHugSlVSbi<~sFB@wf#qDd+mH|&>j}6_o}6-fEM!}J|IERCT0kzDix5(HDEMZb ze0>SLw6zy?K_N;1KlQ!B8_)b*Y0JoMQU7s+aPIUv5RLs%RZUI7i!fsJ&#cpz^E^2i zgOuNT?>;o>Jk!(tCH+_2ZfE~eOEvj)w4j(E5xaRctez-4l@r>BZ4f4wGbMp*oPeM~ zF|pVP_Pqx^meRoGUWA9&{i&*=EfIkdBn3)_v)Ix&SD^Fp&wI8_i2V_0V&Y)zDl!?L z5g85b45uzG#LwJ0QiN$%^SH+ng@FAPc~y$Sc&@b!I;?lQk^?WD(0d5A=|WmQ4%T1y z1y;jq;=0-XpIShLo>|?WlLRj4|MaPY(I!C&&thmjvZ8I`_K_7DhNR@=&kKF%jq2Lk zp7+voO8-c@mui^70TTOJFN8ZrA4~!tda(vPCTK^-r8kezRTPB2HzvqQ?f}F<6qN6f zc3U3w(O_7B`zGh7+h(qjKszLiVe@A*Or?nTci}n#CtW*M2IdZ%8PL{e!GT`rAL}E< zfKa?hL=Qq(T7_)6aXz1p(vsW!lNZC%PEpvnd<9XByEfm@=w76mJ5_})q}#*z-M0xz zXY?B(d8zv8%=IZO%NsQ}$%wM5U;F#*R8&XP3;wf4KSJi@L~Rgid-RVC9{%J#RKgIq zPd(=C<;Vl@bJFV#Dm3KO% z$%%sstd@qS?eH*&?~sv4h9up{Lm&SW*Dbk^g`0QX#liuC7NU97umbq@q#fDm|Mo!A zveQ78iVj>ks_3U&dE$0?(4Pr_VkWk=$khobWJHC-ifW;R_X>dZuYDJwGsWT!DqfpY zhZdRTk&ll$?-B}5JYeUu^70QZNE9jNZPC|&9<64gvfk=LD|8({-XB?!7ZMYDapozD z9EP$30cVCo#$r)sPu&@VWJa%p;(O*5a#w>m`K>8WK488@G!^ra$fBwtGy|!6Nord2 zDIHdpI4Q0j4F_qeo@KOGBsv@(hbu;)9IlPI*Zs3ii*uMgB8RMpj%x+ zPY~7Ga#mZairLFk^O))mj3Cbot+kiAAM{g$JAb(r789e5KRo;TmCiP9`j!a?Vz+(1 zJxtm5ZKOhCy09Ym;qnqE{MK#vps0=mu;S<0X)48_x`*D%);!C|0^JOeSL;{ZjToy5 z?0v_!yFSH=5M_nT_M=U1L5{i64`_BnplB{UDK7rf_KV**Quul|Eb)KGXKQW!1}`+! zR>BkJNI<;Yznj9Vu&C$_pg<<$V&~cT5m(6!N5j%cJWm*$cnMTN>^KN*?(9Y3tUtzi zHvDfSbZc!ySa{YOaIKqd35c<5*W+6AmB1PjD+Y0E-Q{TFF4 zzlP-9GJJJ7P!tEXK@zzuQ1kc->Dr3(n;G!#VBS+*cE|CzS7xwg9U|h)-}r6#=MFA~ zqi*Y{sQB_|nnwm0zcaA^&WnyML|k~_B0lZHloZ;5qv0Aaf`jGo`V(OwNi+GB9pC@i zI7KoFzS78mn}DX0SLT1VQE|G(Mo?vy5NTT>3nOl|eeB=xo-u2%kA-&Hz4SpB_C1N; zd|+!KvKrpn#_Y5Trpo0Zi5dIm9(jHLl5f1bJl}CSm$dD|t;5>in`L9|MfC2!NH98= zLL+Zx%%5whY5u-Blo~#iqd0zjc zD>_*5GYBA96|OUc<}q>=g)|auf-LcygALDeaR&|6Q+sz$kXoth;xBzaCjWx{e0;v| zO^bdxZm4f9BwBXz%{zy)p^$q{{S61iuU1z){Kq|Is$~Zu&h?Xq@8$b_= zx>R^>M$j|k*hSSr31~&o90X-r+$_0NkSy-?WT)vE=_+s%cGWI+c6sG6I&fUvydh$A z&eeyWGZ}b%n9*<&2U7NwcOb@6zJ=F>ys1! z@7l{EIt~tEf~JM9;A-E!*n!jq?(BUXdHKHfDTNRhCG~wo)? znYQ6KXP$?J`QsIy#0RRn7NC?Bbk{otw|c^-a&dv4o8jWfA4%K zjgcOj@Z0m{6Wd6nY~z64x+I;nGjOT`vv*Q(dFX)Guj}uR*-lB0u}UpFtMukmLbssR zb|n%|eVg;>Ooo$u9A*#Gn*Z*IaC`HRdx^wG__q^G;6wdcI-`-ZlWO9e0(bLAQ& zO6Xe1mvfHoSGn$`81j!Tzbe*hpZQ!Qc>z*UWPX z+wEOG9MoE{B__h6^WQuT87H{hSe+#i)&RS0F8{xy$xJ`cXh09&_E*TXuy*M0WcR#q zttI~kT_N88+o+pAJ`OIe7B-hg=^)ob|NF@CMs_(nkC*gAl_iPd=Q;OOniVaHYvA^* zuX9H_ja=CWg2d;Z@Ht)4F8xjYht@*zWV(XkAOu&fTzh6VG7=JPC+T2r4-XJ`zg^ZA zmmu1#%W-iZ`NdH)tF_vzSvnRLsYCaV?>M5|e}@^F9ee$vuDY&0%3tKq_c76%x%;+y zc!PFhf8g2oHZR}IzA6c+nMHM8b@FaXV43VrVxH}}SrYoHY3%3EO{Igb4$kamg2I_D zELRfQQIZ^uHV>Y%9JgCpG5fysRn^bA>(nHn#jT$huXVb8Tl8Xyd#~Mqwi%rEDq7~} z6!!X6PeJ)r#Qjio@CYf5?54lcT~=YSWF`4rf02)ZntP&SH{@;8=slP=oVBTT5DVmR zZfNB+8JqU}`Y;8Qj=rIEI+2WhKbd@x z{tw5n)A5VX>ng?RVD+8Sxqwk+$pP-K{8mS0E>rMZeMk8CV&T_(b|xVXB8doQEPq%r zY40Lp7_FWX;=#7I{cyY9U@;;mUArpbyk}sMQ6NF3t2Ol7Wj=lIo%F+3H zYwIeSnpN4?>q#U+#iFCrtdK;gB--Cy=uG+u#tR9Rvul`Q0{ zV8%nhkWk5ONp)4A;+h>{XJ=pQnsUN268`LuW@Hfa zwBYP&lCu~WH)2}1L51c8+6m+ZIa(4`c5}1X1E(FXZ_f=YPIsHcda1&Av%85+%wpi% z-`7__y$Ds!FDxjcr(lHDfpE7V#yqXot`B9 zZ~Oqvf5X9Je{T=pe)<6=mE?K!`WM1d8N{PWA{;CQ9H;Dgke=xUdxV8p1XId{-3l7V z`uFMQ-dsJ=SJ8L{pYiUC#|}#Jg?mN4_)i5sIQ_n_ANDvD`+r)1ejD)|WRUN|tD~_oaa8`FPS=s5XRzgLhK6-B``3(t!ksKrh`u+1WGno<_Zw6uMbB6d{ z{Wdun*^ggG;OR`SzYUch0}G2U{K4?nn4uMY8{|)DC%^y?JAQ}v1ZSGif97V}@Ru(i zgPe$muqpLYi8N`H#RxDFs8cG~NhlcQ7$(p50Sc2<`*xlz40Cl11Ftob%`P{5_a`eP@liv)P(##4BvX z6Fz=i&iL|O!OM4GaBvF=$tj0!0iG;5rM$WQh1=sfdPOU%!v%JjFCsJH@GPGwkd#}` z7vfgaJ<7mH$O15SEloo3ac|tA_dIDPw;O-3yu3_$CPXp0Uq*(L2!QOJ-Z;_v8^1u; zU7$YahB47mUX!>^($;ROiB19Ynq#f}Bz2Sdqn^)u&lD-Rd(mPTOe<2Pclg6R2{tCZ zwUzL#fn^U}CiaL?(Y@p7kZ4H0K|wwl85!J-!yM$CFN6Hpwh})>y=!t&*~#KBoY*Xg zv2Am!Z9yAG5-)qmH|ch6Io*Yw1P0INq68Zo$L^q&OFlWDCG1ChM@*$3Z+k#WXz``o z!Fstagj$&;0xoU&4ej)!w^|*9zKRs|_Z9W!Mq0pnTB4 z$D*nczC=kWDMk*CKoq+nBo@-O>9AQtex?;I=?CI?5HUUSaCSqK7JyO848tDb)J{A= zd&~uj^K#r#`=FL>lwc-6`FJ57D-Oup4E8u+${A!n9pLAuAtYaSksSKjpv$Sh$A5-yw}!}|0oEtN$)C}HbJ5H%Uozf%OzVub0Yc()(8q% z_2{|f&z;-#*=afu-~lU6+$yw7GlEE2jKvagRMBbpDlW**r^TYN|ej zBd`W`MG^@^vq6;P9HCw;cz-sfak%a>|AwAT@8{kB(FMdy0M95!ip86<=*gS96tO2- z9Kx_#u@M4)K=6QoX<-*Wykt`vy+n7Bo1R_>O*!1YFcy|G3*r`v%|k0V@P@JR33DK^ zW*2=JdRbZ4AY{nd4zA6Au*Pkp56x{H}si+TALA6 z!hGp<=BWxo$thuF?5y~Z(_@X%)0WBuKTD|pFb6Z@gd!dz8m?;K?33;X5P26jVUHTo zQFQ|$c|6niTwNo$nG zFN@&WGhjWNHQ^BKx{Ec$vV(c|?oS=j+#D~H6}wj5_4Jrv4SGTddX?5*iJILSEZ-XT zizd_3Ti|>)1>&#eVDcf3Bpe1}c0X9~%ge*R1=;A7{XP2^xpX*t!e_E!K_Gb3!~5pU zIx)WKd`PnmJ`(5^IIbg2$;1fQYZf`RnZ>QhC16fLm3Z3<*@C5YjZSGc-Qa=T!6`f$ih5Ue41lhhAL zu<||g@Xf8dX$sf(_x-lBZl8hbc2n;@twJ9e1k5a+EufZp}n>4lrSa?FG3E$fc= za!5LJ4JKG|albV!Vuj@wZWE%(xP=iER!0OGkt5?%9<>nXhEO+Y;EH(U?YR+EUN<*% z?6a6_hJpRm*425{U6WT+qXo6$4-s)Jz=O00$K2lrJbn5Qx^BR#x^MIj0>WX3#l0LP z-Lvp;Kfo)97hwRnr~pVZd~6*jFZA4^_9H3MPlCPqhM2oc*4F{wl6v&({!|J?p zH2l^?>p?d(_7>lB`N40IE~EC-mc3Uo!-RUJpN5vU9C3pT3=E#g%4dd7ruOUCN~|UZ zND%;y4dEDmyN3Bt*~o|m(v+vby$107HGDV9w+Rn~n@3+UbJ5UvISySi_#J0NxEOMTvD5HfjYBE2lcI=nS zj57Y{E8wQ6S}VtB9CtK%TZ0ajds@Fe)fSN0O0LmMor0Kx9r#?PZt^keB zG+T(l-B5VZxCC$`22?O+?>~o^E4;Oq_KkQ)*u=i(hkgorZ|FNQ2L zsxtT{_kY%mu;GkMax{TZj;rSaOC;hu__(wP&=71N9S+(=QXTmKkEDW|N9)6_HHs(LEkQZP+(1W2uKkb|!POYsJ6goKC z1NI(!4B!8skYT##b&6Ppad6KCK-@<7Ct=(muA_x!o!7_o7pM7(iQq6!k=;wNz$plb zta9|Z#2?1Nui}BP#gWcnrdo^%BGtGNPxs`9mP4n7GtFTE)dE~FMyWJ zz^#vAc*U?!>cQw@33oS6ZxWF*+fZF`~X-}fVtOJtWgJ{8GCYb{^Sn114wU-XM^YVPBm zpMjNod(d&|57*7Ju(ADq@$z-|cxBVLFXI@Pnf_tGyD@ z$e#ZBsClqNP1YVobB`N2=Vv)(HvF~D9??%zB%o1f5R}#cGj^;+Xz+eVP7jvd#~*e` zAPTv+yMD5fh5s?gns>DQL-a_X}j662=tvbgz7 zCkT|L?g0uWk})nU;ck+Q>0eaa<|oyAAVcYF)6AD^&8Jg(|LwkSq54jrE~Qv_d#CX?BflW9>H%*+L2Ji5;KK*@pbLeBlk`^3^w9ZLe1GxPJr-Fkelb!)w~QWD0;$9*Q@(A~`ouQwoXH^O%^Jo_;k=&CtX* zy!f;lU38!M4;*`E^)wZ~u1b=uzURKNVt3(KaWbikVXZt_7<=TziB7@6H$`034|+vg z_kEvRTug#igeHbJUO7bByXD!bEhC-7-)S=K{76IeAm17Ny7a0 zuF4%lxFt@~A?nN4-h=zXDobxV&s-N$WjNvJvx9A^d35b2Ele}C8v~7F#;WBAZbH_N zD@4YNVPQ^q9geGyj?Ivn-Y&FyDEsf6g~I5dDrtQ0!;b=QFE09+eQ0`^m+OD0dCdQr zA-R_rgGE~NQ`23)7)TLdUb&m%b3V=ZOMiXyeTqNIQg-;V0rMsLeNz1*zAqhu5~Bb* zWd+-g*BD-Ci})GY+G8sp&aj8nLAQ`BrEuZs{^{~AN{X(r#2|8yFi%5=c*LQNBZ$NP z@Q>XUNUl>PjekOrj*SZ&JVRSN>|zPA299EFh}n{eu?cLCYH7^;WC-;7aU)rM`ib1G%Z%NW#KmY~ zse+^5xq{N&=r5dMWPb7p=%>!mT&QAc`k6@k29x7kror2FZvr`4_gH!_@j314?@c?+ zPpT?p6l7iuYSa|mT;LyfdZnoB+`Wa9Pg)_%i`tj3VS}_)E|@#DRzWuHfvg2Bi~lZu zzx{E~8T3@`dipv4N(_JH{~I0o&~W|TaqFm~=8X%u?QG9rt^uv&@Pq!R=tNRXMq!H) zD8iKVA|gT!+Z$XX_r<5Vs9Solq8D%?%KC7EGI!=-!}o6wi^{-~d~{K{cyqaaAoSSb ze4B2)_s9Yg&0D)}q8f5iS1vM7Vl##@5a&V_Zo!^3j1s9-Ndv8j+$eI8a;Rz3^C z_@`bw`%fk>A|ur?fGyQEchEu%m@uQ6ainyABA|-mz>|YE7M}E zW;>^z2^!w#Z{#hRrP)tAs08!MDUjF_5+zoU}h~%AJy`|i0G(>Oa_6WLZ;<?jk@Kl|fG6VYr)ul2j$B1LW1dbs>n^Hn&zOoWT z4>t2#(!?C5*pQy7WB>-IooBcp414=yaRJ)Q^gtS^fxU%Do7_)o@7D?YejtKGpVJvR z@<&5~jnyVqyFvF+JcHsH-|~Zl)UgzbI+xnx{2nu#h8HuP&8K}ZuJ4`FFS9)0?Jr5( zjYQ#T`kP6+>gG~hdsfsNt%p9+>FhR1e^#VLR%-(iy?e|F!Ittk>CNuohQE7{eiD2VEcsiZFH2N? zF4p-HO=KH!MtGX<6BZO){4FzjWoGV9y6_cVsR7HQMeCC#US$`IjlVq9$nzkEA$0VHv>7?>1(Q z&k`tRy)Bkdm_U^A4*dsF+bz_wHa5e~LTLQ~@AgnMF{V{s;H=hd}_e zMvi4{T7R_O-iNo$$J+>qss)Qc4lG|h_FD@Ug$2G0jFvJ=KadS_&cfZ9pC&pB7sb|a zdYoH-X-G~8VXWB0>Z{I4keVnjLn#NHkSYq_54#gEzBgk52){V1xgO=43Yk-tUtnM| z%#UEJ7jRWlGw^C`wUGMJc+AjO81Y{XG=usp^Q}7kaa*JuPDOKvNH<_8w(99~K4b&0j z)P6O8_t!MoRzC9ZN8;9!y@TOmAPU4Rnz(>Qity9a>viB;AD7=huYG*QMU{`h+ys6O;y zfPCf-zZnwId!OiEI?F!mmvzlq$s1xy}i0SrBf3=g09ut{8SoVG}S$qly;dByBW zwElE1odbVM+EI02e+Ng(M(wly_wXC}{gkSNQmyRTQ5qkkxrLQ1GUu;vYWLqvC&EUc z2^Gmp{FmD^MRsQxwUG z?4J3@^=zYGjE?;A9nT;f8ET@~S*=7K`;LN{6kojr`uNT`^

Bo5+}~@#L@HDE6`!z~T(DlF7uv(!~7$qXFPQvIr`e z=aY}?G4j3xY-esf)GR|x3sAtotz*^~QzuSXg)U}gpjITwSr#KnMUMpG8Ndy;W#Vna z4{V9qQBICIwkYxks5aC-!i;NmUtn4y}AE?Hx$K(v3{X>2T`b%+pI(5n-a^47KqrYKZT|D zV;9cP?5)PpG-H)yp{0;a^_yi z=MXVh@Uet?!Qwlqdd1fB;Aqt`gaFSL05%z7PU4va8Yxc5k)8CpvNq+OvgNiaPlqNtbxG6Wi%4p_Zk;3jW{M5qyU zmFj|vt!>fa`N|uRv4Xr$2Svhx@hUgh9isKXtOYcm4pnZ^2dV3k4noEmqA!9-pfGpz z=?0ta$Sm7kY9kIR(dqUo?je;k{}yf1Rjt0yEyE8Zu;WZFzAI+d2)t-%u#oPL;|QxT zs0{G~&)frU5WM+L2+-qRws_wo*a}Y5CfKq`^ox%g>g)~Jr+Szlu!sS_PCxYy=O51& zxB+zp3{2G^4J{PAUbP1*d3A3RM8FriM1TzOH!DCu5Gx}od(f@MK{Istr>M5};58MK zIKIhx26^s;mR}0=;LD293SPPtjk#6XoB~@%e8&E*)Lt2efpHpN|HP?2(O*$L-#lz!qMov#Ot{MhLvaNd!c25OLVub zt?l;?I7rHjmMb>D^jy654Cm-q;)v{jkn-Q`!T?OcGv&_C%e(#FPkKw(e&Og_M}8@K z3UBb2G!`6zP3_M0GYy-I#A4Enf)0yXoG3>gNUP&pn3T}PG5YU#fy0I7Gd8X2wY9m& z0CT_R{J7s{`ypd?F3mL#v^(`Zt^{X&`)sXJV<6f&cUISI#nQ`!)!Qarhv|d_?MCY1 z#n%_T>!h_Bjdb^Yu({~OfMKpfjLPS9eSQfVtnFOB?N^prx$ENksw>lD{CoSYHc-{< zI;R&>H?UFPT3=3~VN4sL70jKjjb*1C6c6Vl%r=$e-dg~ugpe7Q-+8AUhYtZ)7Bo5p zLF;)`I2|-g#GUc?G59F}i&$Sq2uXAb{S;T&j%r3gCF@bk%a57=YIbOk_N$ zw#O@@-w=5tU8f;V(O|yyU@S>}@IPeVYri~vvFM4uV4%t52{2_?KauxR8Uq+GZAha(5H)iGy#LMmfhOk2*Qo9~tv=&w?rpp>1 zJb2w`@X+mfcc8UMwK0m*a=w=+|9ja1%oGU(F*4jPpRu%?Z*qWLK)@Ux){WoPF?uNm zDwO__U(hYye)#z3-5&^E`WcxqwFC(5zru347HNmsM|ZzZUj6ZR0SOsiudg%X#?3sN zo_6Y?UdSp7(l!o1_Nubi`tBmeEoUDt6_54y;@U4WMu>2aumF*U7{GQ`sTz{$7iROP1G+MGs18>NCV&jNNoI##QMw4{ZWng9Nc@i|>n_GzbsF~J%8 z)?d@hm%hKicT4O_XGe2e#^YOa4>=>0Z6Y_7pGQ9&i{!~2^-Rt`*bFM|r|MI96i=R0 zQJ$7Lq-~~|UV6$abJXDZ|J1iEokfb!>Avk9=HIch`hMwWrPS@!iOrA9_7}x5#Iv!l zH;C(dq>OBj);=Y}Yi-W%9PVxwwm$Z5jKA$i_C|XZw(aWe%an?jqAj9(HPM_EvfB6T z`IYzYKRQI`d|LVul6Sh#6O%6n!p2^J+aEinE$Ld02|ni&6ZJzwHG93cpc)4#>W_uW z@!Q_YDjfE)c)=7;2a=l=@#Oh)W(XFgsb@@5g&w#k_otR;IgPWBF z=Lf(u+BHFFnzjFqiz2#)L**h9PH%&Q2PN)0%B%7*3+_1cY@Zc-O#kce&(Sv}eBck4 zI$UNe6T&U^^#hq`RoT3DY2{isS9Zl> znt@YYFuSv}vwvWq9>RqT7>|90?kEYN)6C%KVW?=q>LCm`=Kk<5Ti_`|02z;~g%c!S zxJ_v*Bv>xeJ$#3(IVn7qloM4c{>&Rn7{X3HzpFFx_)U35yiScP)obd8l87~{3HPMB_51Ncb#uIWxT$dPx29b+ zDo1vG)VI_nU4PZuJIxHT<%`)fvtP_U&mC5v%CaR0{ON%AEzxKw*1kW8uHxWAsa+ZJ zH^O0Xg<61hbQPp5ZNG%LIQ!+bF|K6XCL%>J;U=wBn}vnN>*K>MfUFE{vjBL0F$nf2 zGa7)vQ^wx}AwQZ-x4H8HLS4jqa`u>jII%$-p=Qh4y{h#BtettFQRck z*VNWFwYAYQwdhEsBgT}N;oD$e>hL%XEpH)%MCh@*g+G`m+e12}rN0Dh1^IIxpmo#7 zj~nry-~}luv0?ini;?!vM=}ju&F9UhPeOp$FmP2d_sW$fB__l>kQiGHP0h49lspkh zNzY})6HCkI@+a)&Y#)nkvfJUb6{V%I?K>c#NK^ z5hKJP`A{wWSN-6@Q&2QIU+LqZdV-E$? z3ZTy!c~6T>lPjrgu=Ld}AM>~+J}GY}6h3_1_vTTe5gNSjHp*;KhaQ!r6GL_NOg1G> zH8E*HCNqAl?DB;R=Wyk^g6uuO8*?`nYQYVD@EtL)FXM7J;aYEKWJDs)=~!4|A|q)w zFkZQG1u<_V<^40RTjh|I@VvSeybdy>j&Kw9)gC6rS7;iASml`CsYfHwZ93WYrVw7@ zm4$tQ^zT~#Dyd7Xfj_g{Y}~-YeGz#GZ2bJPe+w(#Bajs*Aey@Dz+QYHDer!F`OJ)9WTr9`oXK*6(^Meqs_+ zHyYs02Te^RANCmaSSss#A$(tuskwP8^a5nsoK&VMkqrZ2h(sn^f^(a5mOdjnIB}!` zH;3?U4dy5KgLr^WhYjlK;D3wCwlZAE8J`*N5%n3Y+kmMut++#nr>0Wyp05E{l#-Qg z!NDH9q#!H1x&K7&<2yXpS{;gpP8PMSy}y`yn4y9}WbYN%gqJyN!7cPDsR?>NID>T` zQ~u0<+dX(+t}D%;iO>JvyR&Tul@BF}Z4l}d`?o>%%|F<_OEj6(WIzY|*$6jot z{LOrfmEZ9=31exe`jPiJ>`C^i3@a8@8!9a4Zx4{^UszyYkpRc;;@|IgRuqtwg!~~~|pTwkM z*Pk3UP(ODCuo!W^N{+q(Ny#KJHopSp;9=FWJ5CD3?C14XG`kIl4S6_-PboxY-b$UH zpHD&Igt?X+phr7?0~buMo7x+F>y|ts=g#9gr0JGCej!c1UgWRJyrfuDzp`~!1VO6o^vyoFbP=BlbJ`!IR2(Ad;C6MQd>D!jI{075L@o3U!p!Q;dOC` zFo81vuA+Oh^-ZB0%4k+-v8Odo{Ky$!K!6B1SwrZc#V7r+7t%7H3B(xJR^;_mkyva*cWZH5!p z8WP}=FY+`fMpex?*XT4SJqe6**~-57~$s;;4(1R1Qiq2xQR06ctIgR1w63@)wDkZmb#SJ@YOXzHFln-9MUN? zdSroPW@PuKj+@dj+r>N9`O_=Z*VkjiQzMu4+0`9FX!1$sgsZ!IB%*sOlUi$B*vQ5OB0HbrU=X)8CEhKyG(f-?YrrqRLOvD0R3)Oy$v}*uiMTCLH5c;L;*L zwR@DUp70&$t~9 zXuQuYwaiIy1BoCb6J&kVl`9)9EwE2q1Zx>}sw<`^B78Z00}iur^<-o0x8)#srdOl) z8KNVM9wIqwaQyy@7cWS?(J_XX%PW48s{ZB7gwtH+aly>BuFI5|Ns|Yq{vs^XFCET9 zel*kk6kbTc4$Sv4=b;(xnEnEgLN)<`MErjYH%vB)%E-#%C_EP_-ia|NiiM-Ez3&09 z)kF7tY<}E2^61vjuX19`Y7gl}>o)Cc$U*$fK9+ue9l<*MOf(F>9dvQ*kwBzVYsqkS>wO`#0JfTYRzS`pw%k zPQT=3XDOE;KYPqGboclDl+@MJK~=LjyARy+s%&P6Fm<(sDx4W<-q5}s03t*tEE4fK zrEPEi-0W;Oz!i?0d;$VKZx^1CN(-YI?b4OP%!Cc<7jNcEK1JPEa(9H6W_tl=7wtcp z{Q6iTN0(b9G4n5biG(Eg({!=(7uZZUF=$?Vm zn-Cvs`I)wyys{;sN-aS9!aJvbxGweJv#RX)NlUGi+MM2>D^osy5G zW`=_X`;C_lOwFe^GqvoaD|NglV{-FB@QfSLtc^Fo@{|Jh>#_#_j61_lm%V5*ns7HK z`fh_#tZ>bj7q9!aypUF`t#SjmK%18v^uG1OKKtM3!mrUU`5ZkOa-X)jDngL+u<D81)(mu3)2P=$1ciJ&Xzrnhxn#%$0AV!K{cDy)VKl9G@~g|2DxtYsd==_ zwD^@z|FKV!g_NI_Mv9AkAJsUEYm&0hADT;zcN;BW;v3&YL&MY8%xK!{?$o{JjTQf{ z!Zk+5o-lfz5r`MKYnS4)^qQsx^hjKQg^YvKEdmD(}v~lUsL2A3mt-i z2odmtDi;&k5-SoqwNg4Gax^Xa@^qu+nE&P$M`(|Mg0NWysG~L={sUMMK(uJQQ?prt zqdkSuUS6seQKoy;j=ry63(lp^Y85~&QlFbfr)riNPm5EXX?6~rv`D|8OG;D}EGSSm z{|$3@FSN~ZbW%|p1cob$L`s#5<~Ct_ZaH#6@2vwz5nb(i420twJW3B%|s&C>O%Fh_&l9UuL^mGCS3FTcpRx`jE*^B72U zjz84nOSzEw8hEB8CbpuMLljv&k#RJ1b#+DJ_(UTQQO*!XHcjv##=;2lxQ;PA*kRy& z5+>h~w!tgkg`%z_41ht0_n8;fQz!tWq@|l+eA$%Vp@gX{#GL1U@}y*cwOj%ed;eu- zul$ijdlC)1BiRZis39(?`}xjjS^MbATKQ# zw;Tx1fv2B`(eg8N`u1=tJCsji1w@D3fz*{Ryus!6z6UHjRu)ACHf|*O#Q<>lv}n#i z8cSj>@e!thCF|h;)|S6(9(3~L*qd5juP-NAudDg!N1PQB;d%Q0@ig11ZEGbjGXL1H zuf$>FY>;QW!G_O$0s<|Y7xNkZDm8c|f7dF^ref<{bYm`)4BmQNb=^gC!@RQrR>x#~ z%`QCop0X^FCt1!$bz|rrso7(P)`kNN(3W%m|yjKI z@Ne8e6mzzRsZq9nn;Y%mbgp0K>1D_Y7S`Oh%^gEcB=*<@1y4`Wp%&P87LK?9ugHb=|jLrZag^wABLrVCU6{9H^x=?GQ8?Rx|H<2inWq=D1 z%|A0Dof04+TdSs~21hR!G<-)Y^B_0?_Zc~iv z3(3D-$RLn&_IpL{8)1{(=fl1WIN279I_y4g@#FNG#B%pG+^lNgY^Z7Y5 zzS1||#8XAwzQEQZA3fTJS!GdZhfOb)yy`G-l`sg`7G^$q=Bv-!bRSnpv)cD<60pnZ2Uokd&Ah<#>y>tD1Jhz_;c7^`V&=m-i_ReLn)dC(bPl zU5M?NUO~bCxvZi=1a=ji0#5zLV|fG9}P(JOm1`@+Gz_CCaev)VAti5*Cb0Kx}l^xDC}K`WU|0`Uh#*{Pj?04m+$Qi>(1AEz4g4fDQ6)N-TzLVe_S$iM-vl#7*e34p#YPrkc< z|2_$EN8TK=L|HDH$86Yq(AKN=``cRy`1tuqR{8z=H(@JB4IThtVS^6|b)6=&<)%{H?97m-?OY5iS$1MDo#Ytfu zw~p2QrmNPkFSI&%9aPyl-Ne_P$0sJM^QI|a};e##<{aO zckXO9@x@SC4^`1RE<5{~Pqf=RIAYG#%K$VaU?sB2gj`O|tc5Bg5^ZaKU7Y|9Rs!9@ zj}wbNeXiOY`~<)Ey$|83oMzJ!x#gI|rdMiPh? z{7ss=^z=Z@-Z?<)hK`PWu#$x%xCqoF9oPp@c~4Lp_5k{F<2k^fS|#_4>E$q}%+Y^Q z!$$?o-^lNe!OEKLl|l*J$O&7uA>mud7e?9(h%y$qok%@`Qe(P9@@hW7utL_RG^>Ao~SE^YcK7 zHzA7f&>k`(EuC|XuZwEYyr*!6skrq`%;8C`JbTM70iTrs-9Yi$P_rfi;lp~&Go3`C zX4q9~Q>vf-yN7<+d5`=FFjm#9s9N#+D(4gw6iA#6LF2IFjO8JF~qd!133B$k9&Ii6iyi72>7tO?*wM2 zX>r`Wdv`qu6r4i3s07*9uWwB#TAX<*6!LU#e!dlFZ2O_)^#R9^8z74u=GX$evJjb_ zp^5dFUGc4J{`d-V8B&jqN2fzTxoO7^A>go{o}Q#$C3r%E3#JZKoVsota4ERgOBGjV zG>#BbuT^Zf&-(HvNw=U8IyWoua*)(qL(J;vHiagRB<#)+AWyZ$iVON*XZt)Sj@Os?)mPsha# zG0J8u$H%*y#(&X|r_a*!2!IiQ3*lhu=cDgY{H%=2Sr>gVD8 z$Vlrru`4V5jxOm{Oc-RjAg9%V>6(%=uYPuq|GP7oXKS!kmP{pVAHrXIHPyzfCsWRH zR|pF84FA|TdQITUpgB?Ib9T~K$>Tb=A|qZ!Sg_xn-_DiinT$}bgr;qWaTm$>ZMY&Dx0$Ax^*b%v8y zB`?nm3KHcE7BGU!p2BE@ZTpg8=EhwVwkxN-RQU>P?p9TmvQ_lMQw|>B(l6Iho!AP# zt_B6#;llJ(0i|eQSr^R(^uv5Gy_z)Bz@ZHvq@W2#9^1j$oZK6V2L@t^2!}#pWo3=* z_R+DFv$uKBJVFFabuaM&Pzy>-EMxI&rC6{qwWQJuS*T&h7D7BJF_EzCzG<;8m>_mc zwGDa%fzHL=gz1G`7dZ;aSd?fPq*^X&z$Vn9POvi%xKD-SyhteF!Ycu!@f@~NuPCIX zrG>{y`~c#09v~=;zi+%2Hz#4E45L@zS$^SkrJe=3-Ijxac~`IZ769TI`ExFyNG=vL zvtsAh7Td%@zd|Hxg-eAz>T;!JxJ%*1Xn4`5pMLJ^smri8hm6))i33IO?LLT28vJ)& z8e&N@G*W6kL$&{*BS&OAI`wn(FDN|1dCVJg4yd`Vt}X#^uf;tdKemhR#pd2uzlZ+* zoO-x_3>+^Tz;e&=ZZ>&cJ)rtY9N3j(W#FgKZcBz*pvn@_+)uj9emDrXQ^l@lK02t zWXRRIxjD!hd{jgrBi=Sz4?d-HKR9YwzT8mc*C`LumfZiQ}{~lOQ+NJ)qSNsUhNTjK&ItG)lxe=#0qzrf4gl{`YbE6jK|VY zi2g#nTe-WtHH*BV)UxvPTJ|3sYDZOiQX`w_JShjas?*XO*tW#Rn(vbPMUEdngpkL> zX#*Xr*Oh!lIHMO&a^2QPQNX?(ZJH zouz%3zXbx4cCkV{d^mlW;Kj`E@j5S~ghB<~@>3p{Q%$15Qy(9#%krGT^_I4Zj8qpb zPtFC7m|pF(D*~`d64%-^xFO8_-dXmB;|mIWEk!3^l+AUCuT*P(jG^}+2Zt4yW?*Te z*o(k8`I2a1U4+(+=8pwJAiWIz!>35Lxmo*{7}hrc#*8iA>^KE0z0pC4U(r#$I43P@1i_KqmO6NbHh@o`Xdsy^@XB#K>Rs427MvXo|79C zjeT6`eawiv@t0=av>A6kqC!}pF;LFa3W)&C*Ym8q*+jmp8uRj4UPeT0TR}ZL^Y2e! zp)o=>K1VZLzkb~f;@;6a<`SZlP0}q;9meDK#VlSPWLWAzxuwdNB=!E0+Y^S!)nl%| zaCKtdz3^)GhwLXh?|uO}oQ9r_qwv$)x7@e^2r__AuJ|KE57VUlh9e>$JW#LtHk1~I zx?!eMlH1pZ1vd;{gydC}ji;fDrA8XM@ai3qvM2|FM?3IOy7$;7rvfZ6t+Ejsr&Hwe zB=2q8SNvoGx6iJh^vnNG3s5+52)6?5 zq%_mf8};`*JI?8tmo!V`@}Hy9Gv3k3yn-I zU}kdXn<_WDnc@c{`UAtw4R5Bxq!^rH+IM)i+#0qG5jlz%5OsX;-( zHixSPsS0aTgm&E5XnKQ7Co${7oXr;QU$%~p@xb5s_M8cPj9ANt_kSxrcHRY%AY~W* zmI<^T7(iZtLGkEZMKDx%pkKpZEzT{k2hghOKD*mOd(JU;7PLtG*0$~by#1->qRux- z>pMsIHcr+nz28cwS=raDt)tx;w=rt^k0WCH@RbGjGH={f^>w*YmZ3wcdH?v;t8@86 zH=M=kZ*p-l$u=E{=33(y^&i%=vP!*ur`EC0Q6)P{`Vu4#d!guXN1aHSZ-@kAZvf91 zNf!eDr^G}91ZVHwy?4EOsIk$w_H-RvQwC?PMen8<0Bi0z2*xp<0Av>ALc-}C=V!41 zLkSv@lFz>T05nBuvB3&IW>E#@AQJ^0I-RgRx;%(k&&^$rj(pn@Bs;udu)1$3PISe`ILP%{=&E-QwU}PM$8Diop6ePxqF8+ z@V034{ZdeXc1!E`(_f);WT zGQ{THQ)~g#LG<(dAI}0?7T!^_GN;Mr=nC;Fh%^=u;51WOun|O||EOE~`N*RmGWii= zwzvXU%{Hcgdp`~g1TX9Oob$%bsc%9OZV|~uK0c(=YPG%?g-$-=;5|2{tYiyxSWnTr zgshsGnTbxpl}tf-2m*O3{z!J)axD4XbsS_t-0rD@lyy}vkhclJbvEl?MH=lTLywFdc2f? zXw1GJ9L!U1;O6EQk&vK81dfQe`-gpY66pnKdFswHWqJ0%I7hMrg16KBJ?0LPg%_kP z$wE7lAxm(>&16;frf#Xw-?{|JbG#U$1rkpGM`9EsEA%tr(%s&U1$&~Bl9Eb3+uX7n z!QR)G@7RC!>Y2aN6=(5&?RyWJXc%T^Wr-kY9oyaz0Jk;b8DIH1WNoqf_iD`)w4xnh z!;Ac&5MfDkh4$Bjzsh*MW~aVH`i6NE-zGZ^wPRLN>lcyf8~j*#OY&X`jV{g)w{>M| zKIK%mh3@fRf~NH4)g49^T<&T znZB6#w9C#bnl8wW)mgTDXnN|#mH+DP$23N{$5Ovn9eNgcnT33=PqNYxAc?JaAe(5g z8xPC%LivVfgDg;ewf9 zC@l`nYQR;m5j4&gel~5_w;;{5{G(t6#hmubVDFK?qD&~X z*M`B``nc4sm=Rq&mvuqBDim^EfJ>!N1h$=ELd7J>NDTmU=%`uQubR2>*Ed*!MEF!% zYSuZPN3T-&Gbkvi6^S1t`}0~qiqj4I>!{^~E_Zfz8qdDRT27nxD0o*@>v5X2;XtAq zl@dF;mvQ8@ynXxjz$=+Vx%^3945A^^c%4_XyS^M;)~6y1iOi7rW6n99t0}cB6j;KsT*t;WaL-JAFBK4Nw%bKDqz^QsiW1WjT``5-BejRK+u| z)_aLui7BRkizHG5`4A0cJs&`uK`uDTa-j~GG$e4wqBRx~7mqH{EY8|LJ|X>f9lVLm zwy#xN>p~BApZNl)p7s;eXH+Q9RTdxj2C^l40>TTP9i^W-OJtt(9q;#c|CT4&M}Ncv zm&$RrKor-pT04_1_yEa*FScb>?jS?sPoBlhU!dbjR2QT?eF~eBM%r{&@F9)_x!hHh z$&Rv>saX=P*AeF$@WUCziZd@kbSHX?q_ksbeT<>c0yqKPUlev2q^D_#JOCVZLEHw% ze*v}R3Zw5hrlWL9gc3*o^w<$Z^foBV-4D+G~&Ujjas7 zqTOPr#^R!4QBa~k`Juwtkb2gN(KPWO-vNa%F1bdtOGlpYQ!|#iy+v!>_E>j1px`hn zb`-PtF}OIIj}n!NdShvi+}bN!@@Q|d?FXnxY_yTxrvhPr7fpX2Z^gl|Grij_-TRWN zeT{!XhtC(v*=jHI9{t#x2^L;d(<&z}cir{5?Tb4l95=}bx@N@65HS{^NSwD4AQ|-E zW$|pva%62)tACp@3m@SYplKokN8M?_#QQSL0|NtFaE#3Wm*L&hizpK}=$5s9Wvo{W zzLa{6eh_d`(9eO3MznFl;4?^C4trfd?Z8kUia0~O^0>|{8Y9QYH@#Z{_yhC$`sWp2 zOSNa$G!m8wXATY%ZGN}+Jt;*+9&y@n4^OTOJ{RuaA&CwZpHQa@<8+7fPGWoVw>bzE zPbQJfEr9>3Cet7m7DktGGCbck2+H4he_Ye6Dx%F7TLX0g^788+76o1>?h3)-UGL7Z z!6j}xDgMJRw<6fhP2{fQt)>WwoHvcO!zMffB5?%hyT89bvGsJru84x*nNFrj`rjaq z>(HuTPldbk-YHsRp}@0#eLnE0;6Jm)Qp3-ZSaB?2Oa?1cgF1Kh^QN>`Z#ShA8!z)u zA-Ul{qsvxbCKN#gr?QmKL&y{cZ(|JPM#!eXDJ-rmO(~!L8)P!F^+2fdI|x_8rMM#d zs>YQsJFCjb%Rd1|?>{?g@@mTKlS63&gX(xuXn3AJYOKuvZWnbQGaX*HVYi7QBJe1>E0RX{OtJgzo=+ZNTGffw+$i!tSuJFsR08;q4Jo+aTA4 z`2*~z-`l{w5ScP5`^6rXK;O+RDXzK}+#ak>oZwelQ9{C8kcdWc2o_SE2fiPfzP?6+ z%TwIxWJEU1z-cSZ25Wji*NliyaMCP1JF#(tR4jMBfOpI870bJ{j6-&R%>LQ_V@l~= z?UPnIV72Gqx^0FmTY}nqvW5#3SXtkMEV^`T4(`efwscrG)fdKI-FLxy2t|9J-TIWk zvr7XEPhDQLMN@TiJ6q|V>kp1QB-N;(CV1^4Etea=aO-}LVY`)tTMkj!iLt&v);w}qRwai0~TxxiuOu~VPHmj)7WCk zbT{oD5F+j?yU(1_Mtw&jlSryOI41SV?EFdARte@@UDog-F`1zAHda z4sD6!`CSsoXOao}_G&F4FI3m#(9Xg&M&RVdrKP#vSRz$^c!11x$@5&>qU3+#L>nT7 zh=LY@Z@gma7=|qhCa%5f#S0dkVdzH1Il~-7^p|EC9+$a1*2cHRM3Vm$V6Y=#--u%% zz!57}TqVj^Ob*aYn=iSf?NTl!Mo#(7VOd{4&Z|0QBn$T-pol%b)_zj z#UfgMEa;F#rchlheef(^SO99mf6C>WAu}Y=8_)imS%=)I#;)7WxU+la@|P}ktJ?x( zHKA4m)nzTqtDIvqZ?CD=qfequ;HivVT9``s9TwxN&(+kd+-b|PxfCK4XyoAHh;Y26 zwyDf3r5h}Q2$VGh!hi9i4TlAhWTO@0wYTi)|EeSeHA(_i_$>O`M|KEg}l zgm6^6AIsM@^jV=B&7y&{x$>H^0) z1OVsu(0R5=7pQ_D?bQR$4}}E*c>v+@_k|j-eNZzW^(JNGX@M1XS&xa%N~tL|?y-+e zqQ?cjJ2xtue@n^qz2#ry$m6px9%ZqoU$olW=$~!9?AzK0Pk3+qEh+OijK9x&gz=~Q zi5FYM4zCPTJ=E-tkQddXp7*G-TJJwKxE&4PVhfi-r2%`d)Zc9#A3TfP)tBfr>9g3f zh7_tR@X{Qj0 zlSZOZ(hj(z{Dso(+?HoexVTf!?Hcb!hhvh?Exictx(6sF;wu@?Lb(EsQH)>1pP1DB zXgr<}^XBe`S0H7Dr;LPMPb|g?9uQ^`5oraI(312z6D9ow|>y zzJ;8dlMMCRuMy~2U3q=zyWihl8`*rMUAuNhA}weu4i4kRL2PX0;OPUADljdjhf!al zdud+_-7c9)nBK~Nh1t>Pm1*Rz?keApn&x?07x$_a-0ZNqs;T+U4#JjorvWQl%QCXy zZX%o%r;+<{(e#dB(_7$g(-~}}SI*|vuc1H;Cjcl$ZHb=}r8GT1ALXPF>!hH*Nms)x z1&ss0R5^C3yhKY)12-?PSFbL>SezydXb78;?_jV#1Z9T$xKWS`*m7YLUsYH}k#*2} z;8W0kpwi~Ei-zwqtvoa6M3T!8Zr-VTkGWfd$m6u8=eL ziaPZzj7zQCoxk)6oR{3q!Y$FbpgtpN>gxDOoAdiAg{Lpl-0D3waqEGS?|{bO!dJQd z&vusQ$!(k}j&PnvfOIodHSG;Vdg=V>)c%}mssiErn|8)lUQVzbYFmV4X_Km|?W?W+ zj2Ckk>WXi==$!pD_CvfzrPD)2aHk*-&!Oo@Ac#SDe)0;iSfVR)ou zMz{UnoCv6X(IT{KtoXU%qm#Ogodw$RCj=)rwH!^E@FM})MQbF0FI3*`@e!^r zeSitaU>=7;8d(jUJ|Z=wh69OYf9D`GrGAU8rx@E_nM|lwqCm|6jeTawMbUvIMagea z3!w)*rp2?FUC0gJ1^}t#u4AvAM!|jE9fRAg#@rlM_OBoBozB=cBzhy%%YE<0ME2!! z0j5)2yQcSO6jWSO6f6m>x~3#(sk%1j%F?>)c88AC#SIny-(nQ)Ah} zYqUo9lixQlM%h6o`?83446<}G=1rGzbhx;D+N(B+9`GrKvWZKZ3=WEQAZB2~Hh3P32XneL$TxHZ%3Q5q=j${*%$$Wo2bM zf6oFQ0jo?=%44#i)0Dku&v6@pMY=x`?6f~f=x%6lZv5z;i7bU!rP3T;ue8@WZkH9* zubeVw0uC`$TKw$26(Gs%I-ZzRvptVDMB0>&UdWkui>;lb6un_S5aOb??vhf*OOA;Se7j1WWkP?6H zHjVEqMJEbJ7sDAyk06KUfH0Y~h482%$*8fq+^bM2c|5J_OCQFPTF2ge<4r_BXo9vZ zCPCSMw75;4VAhV3#paOusGklpvDggui`Tt8~jw)^wVtE#3Lmm(V?F zdx3on?4Wc#4b!Qx$3#>k6BGIw4+VL71Hk+^`~gR?-bH}1&&!Zb>d-QdWL{K@|CgZlR2DQl&Qe zG1&4;`llbh#gwC)12@rAkIJ1qD(BLW`#|VYFa$QOkVG*j8>CpkBTagIj7~}hn2hpe z?l#rKvjL;`*Sn0x)82TCsUZ@CABS*e1cMw@9$H!3*~I|tbBEFt*cj3J5jh}QcL*vA zn!DbilBN7T#9!JRj;+nczb26JMMXUD{*8#H1<9!Vr+kw>ic$g}ATRdvU162A*pxOr zJJtS{RBrq7KIiI5#%+F)y;tU%F~Ai;)!p94EIY8zwdR$Och-~62>V=x zH%k@jf0s1y4rxVLe%6+%jYNt1h~yPejt?c4nkzN9U25S>UgUhA^VGS8tB$f1?>)GF zz3bMnb^miZNSf;2q+ZW#exvofuS{c8+4PTu|PZ8!lW8bASR+Ct4~P zFiKCQtDXw`$Pn0iFq{QYHV}-ozJB}vmEQtLJpfEuYs*eJE-|BsAhJFB45TtW%R0ZN zD{Y;nnH7e1Bk_S>=+rb70mFe0y5qb>JN6XK;tY~;XXq>d1xhdhS=`M3_C>WEnOom3 z4d|Ur#PE7|dm|i`ROqO2)>I4Kb0mENTvyg23BLzbjdTL?xisAdTWvUgc6$pe?0&G- z-tj@uRqLu|J?VSPWL$B$_+jb{x zwBblJDdjg?s$So{uzz=6l&V+R8uwOUHI^Mq@y3;gQtS~;>-R|=pk*w&{18OgG%iQgm^k_NeJz0X=)-Ko6R|? zSE2cUaboPx$Acao=hKd;+Gj=MCV1&v4h1mLN)Coj$VV=bZRfy?FzG^*&qav~^KP^! z&4+mp`T3=wu@sh)C{=8Xs4^M4iuVAqRUVt^C68sIMRT-oL-t=PIBToSHjA{EIfu3fUtt0Ku2K*~%j( zCI+7?MN03<_i-4k>Rv)}TNAc$yF~pKl-&eqURn9dT>~R$VkqP5IL|#YnGQnUC=aXI zMu&!oUxsZiMFdlz4De8*|EFyqLbHxF zcf}w1|*#Hv(@UDb3>B=cF@DI~XBJxU?v3#>M0hsU1W{Pf&>* z!zlE~Ft@{pON&Z`U{iv`u<*Wa+@VXla$S!Zx0JPb-S|5`<>hSQ!=$3bTRyLMG@3(p z*1f7~T6n&K25^wV3uv|%ID}Ks8wuZX&PJ|4=672W?x7) zR%4M&jq*)Ycg)w!IJmxEv+}&2f87zWXO3O^?@msmpF9~&$b!gj0b$qj4^EtV2=v3YLH5j5>+HhRiwrCsV*cvRRPxs zkxp5}DCB_)GUsSL_1tUA?NTvS0YR-`9peH-j>b7^cCTc$eZMFXh%)cF;9feknAv*I zOm*oLp7DnF=m!SX0_;o8%S(nUvl+arTvy@$cli0~?m+6sou^~HCyDwhJ*UCXp-^Nq z?WIu;QJ&~j8}+Q;p3?b}H8yh6aMqLL5N-b5zONaCrN{hORL_Y&;mNq%N*yX<{Or|E z(?VT7uKjzn?jJH(unu=whbu_U_|+B&IIl%b!bD5}LwK}M4RMcdO@VL{fOd-4wI+De z88RhyM~~#17DH6r_Q4(NWVD`8!NQdJ$>E8K1U!himEZ9Dz{N^WslSO~O&1FLdoaXD zg8t1IBwe)EMy_@14nYk^``r~jr^(Z-<0h_Gb{*0&hR;C|^F9?QrlCAcrP+} zeD14-;D#ga?vVs^RaMP6uS9%OoeQ9frrSSa1JGoiFfjTS_kJICB!GqX64QBnf32&5 z#Qi`RgAM%PfTJ_k*UzS2egJ1P`>Vjt3~ADB)z#O>rO4$kaI(|XXB0@@v%PJ@kTew?sbBTPX~Jh0}>B>r;_vMQcO*D z`*Cn&MpW<`OYZQxL%jzC3Zke3l%%4$-eps=v1q!uYc9w|B=djKvz zebg7SLRcRRv>97gsHSz-9ge=k3-JXRAgz6N;p54|eiLDuZ$(;etZg=~H+{baXo^(BULb&K{Qt@dAh8lX6O_OzC20GSkmXmu{a*JX?YpWlz#qsnq3hkT$yBn`( z+G_wR^h^SVDzff5?s+)O&Q^$-iAjuJ*VD25PH)}QabAPScz+#oo<*c05UCHJz-BSAH4M?z#Bc1V5c;qB-aW48 zMvVs2fG_k73}#kb*iY=p3g=e@b%b7^lH_UUC{e-fU$XCk0-1eKx4N=Kq6vt?3s3qQ zIN!>uswTjy%5c?ao%xqDAX_Y#w~xX1YVH*y+!wGxL}4oz0Hh^iLPBICRMZth^H%T3 ze&=|;`y!pk(RX6r$QpuNz@kI)nn`96Kp|e_W|CF-^Ws3Cg!tAfWq(HXvl)j(EcQiQ zzc09GC4Dqck!$1R_MWFr>kP{Iti?k!Z|8*OJxUf5W%aGp;|ZQ?NHI|RT77m%WqxpB zr@xWX&1QB6Ed%W{ErI{q+uRwKDE#l2`kJ)$Rr7{fs;y|{{|!f6H{YVs!YwV;O#Pd7 z<*9Zw?P_Z5o1yR*C2N_3q{17XKM#rCXWcQhzHas2f6z_c{fO){i-b;weE+ZM(gwhY zSQo|zdm#jOTrcvU1$Zg{&0b6Z2$_u92+<9ZN@xQ!O^@rqKC={;oNp^?VJjB%E#hKA zH&PdOsqz%8ZNrl;asnyN`5!Rq4=FnoIQAkZQFxI@k`WK}x$5_&HiNCGY~mzB-5j!{ zT2QrkP9JcxKHilHvsRCnUUh z;iSGE&?l6#WYmvhr#>8Ky06~7d*|~w-9|n93wEj3@dYr@(**To4*ZCvMJfSp#eMgm zji0GKGc`OcEM1kq)&Dee_aQYj)jSqTm=H?j>V=vcK~JN9@~YhU@g1MKubi~2qrtn( z;>kanr!#2BI%L+OwB%WSyz2(1#Tny;F9d%o(VqPAgQ%t9P8J0GpBD53T?zH#pW;AQfh$H$G9YS0k1DN?aB-=9iXWXswhK_ik<{6 z0w)u%>APe$xZFR>`}gEuU54dJOkOJNKOqcGOBy&jo6ralN&u*o0I(Pp?*}l3Mq|bv ziNis#KRub3Knd-qcePE}ceJDr2dCCT`RkrrUw- z`8ULT>$R2*T1Ki%Ji9j0AM;U=*qk&>d%FME0q+r}%aB66v$%iw$&uzu9?yaKIGZ(H zPEXfsK8#}+;gf$HqyNC1(P26QF%7fsV0mS8{3^HC%bs_?6xYt@T?QE(Q&uK>@I`JM z$rotOL-sLY^+?cTi8zK)GpD8X6!_ui*7x;w|QAn$m$5u1QAE*S;+2G2*ykMD|-_x@K^-ze2K#m4B)Pq{>V zoezV)MWFE`x#ji`e6JKmIl?^{RY$#e`l7@w(Ei6jNv1b^paj!juL;fkpbg9iYj*Uc zoA8nVU{5Q2LJ$ik-*-UujFml`@z%|wyqo1ICjJ$+dg$u5znVD%O-t3vfr0a{ ztmq0(dZQ~wH+g zWFxzrOhG#2>%%6Kakx8SKk|};d}e?D=HAct%KILKMiTusm=OsdUd(vH?f=8pf53Cy z_kH8|S4s#GmDR9Hva^d2GNMQ_%E(A4p)#^EDj5}_M0OF9k*$ofchg8jQOSy|%J2E^ zIL`CD@BjV39_MvlkLx&!@Avb0kJszDUT)|_JuY6n>rJ(Ik+_10ehN`*iD9oHjh67N z1gB#O`4*Y}jZgE~ZA6da_00G1EFTTv-KbB)kBX58Pe5I;#U#($1*wO`je@>npP?Ze zIc0FICd1MMnVZ0r^*D;J?y>>bF3n&(+0qAyPy7f`RR9*XQMU0VbRUB+5AG#h9ue2U ziN!*4$T2ZzHBc4wyQ^WdT($MyE?7N|7^dJJM!y^r?NOHYnNrk_gMZq7t^H zUqxhPO*lMGmTNe?YB%cKj>(`txo02MQ(I@AO^cdr?(b50`jV*En3?s`7aYp}_`2#V z#i;eqh&c>E+a^s{if!6F2Z)Gc)+CA^pOu7^ddqyKI{8<@pnOGF>{!W-Ac~GBuBZ=| ze({k<9=x=IPRkxM(e&A&Yy{3muG z{C@2&AJg8*wo1P`D`jPN#??wIF$sqgA&NiWNyizV2+QMNsgoj67par7ZQBLEly{Gd zw;Hjjg)kbjF{c%jkIdEg%e!Ar=w1=ZJh8B+eNX#X%N@6V`H_~Ir$6pZpwXj_7(z0@ zRa|<9>aRvcu@aSP_f;jUE*bfgNoT(}LQ=`tW|rz4eBrih59PA}3v17N^iss7I1lLh zEX>x(CxgKIBg!`tA~p$Kz{{1=fSp8)0;D%5|FK6OhGza6aJTt#F z@JJl;i*q01mt=zvMGT?BS3@yKyrw8)^ml*%{=E}5?!(`Xj*g*-0?{$*JtX&5Sc~>l z>r`3lJ3)EN>DbeBO1KSs9K~dH|BI zI>ZR;JmU&-D}7vW81go3XIB_OtXV-Uc7f9#*wL~?VxGK~BRIn;f=F+kGiP-cHb5OI?1NF%Re+PQ| z#n#9%kSLhdxBixP`e+|&=A14Im`XQ@EX!&P4kx0j5q&eqQSXv6QoxV)H7dRsk7L(@ zBGhUTIFW~7E8{)2or{YLBgFWS?gAAtgxHTpCuEl2TQ<&X`p8P3=`)tmH$Ao0d!ZOJ z{0gEvT)D5{!>5442Fn(pnk;zp$UWc`H1#eee#=S_gktXeWk73OznwFvZvUmuR_D&r|4LapRi>?d@QZDIh2)-%4d1y_} z*?_AlyubAMvlFW=Zz%@Ry`lI>MU>usmEVRZi^uaSTObC&d_8O~0)7!^3<* z-?imgvO9}acc;z#p|Absx?)-(Qng%H;54gfF$P2yH2w^xdovvK1Ss-q_`)SP7#T(r zj^M3rl&|s#a;xP&eZ*~%=CQZv-B4gZcxW~T+DPMI#5rCIoq1Rc>o()4uKq%{!LJk` zgJAEu!f%jKdw-|MF8F&qGU;-DGnSPS_CWfx;PTMRS93u~MrcqG4GZwY04(^BZ6@~_ z$;AdYhRoZ@RqXl<;gNLdMA#ECZ^=n_c* z7{r`vhFLD%k-P?<;4W2X^4$>-7Zlk&3bL3RnV zc{gxfDjzgYNo;(Y3&@|n!Y~t2-qFWc4PH$YK-dt-%uBywP(n6YaM^pq)BT6bG7(C2 zE56v@^TQB#eKLC7l)Smg$tv{ZggNF6+4)wMOmbeyvl4$>R&M))!M35#pSNiXmjDT4 zR(cZt=UqVu0pwX@R;N_hITgk`Bv3dRs_&g~t zAvVRdMIw8^p%QG68H8h;Tp_sZKcZ_uG+|0-+8I*l<-xkY~(Ss6in> z^v8Grgij&$zNp31Fla)tZ}ny>H!?F@9=a}W6?*qB7ZedL2yY|iQ;01C@T9OJ;RU{e z)k4(S+oBR^qmDKT$gmde{3KkY@gdH7^;({wZS<1&-GvH!4HIfICgAo@wS__Bi}9+} ztGPr7+)oU<2sbC_;p<96SV^&X$xnrya4XDHkWOa~UuV)8ukCv}n0HR}t`2785UB!$ zEh#YH&8&6+kR@T)!cKxcL6S)C6w+ena5!TaBN3EEJx^PPa@PtTB9H*k#i&AIO5$a> z6}{MqWdZukus1un`Q+apl5hF46JAsBh?`;ewcmE$dPpA2qtP*2V*i@COMN;5I*XZ; z$2KSoLSL8}^_CsTg|ytZSq8e)6XD^jm-k?niq@%^8u9~h#1btrjJ6bHSHT7+Cof-( zbSDJdq(pGZS869m6yY_R`0X8jJhOD~U{d}5CHf~>B7-0SX(H*=7s_czkJdCaX0QLW z)bei4q1CHbfAtuVW5NO#e&cRpHC&h_@_RGVLz5)WA+hYHw@lb1zrsIs?r z#c-39<5}Qg@Gv9;d!^Bzth4{{RFSATk#crm#-PDqK34CKP_xwaQ2GxMujT~A5{(kv zo}W$|+`2i5`_}D7>9oZX0jkwZsU_|MYmV~su6cITqokHe<`AfxmrkcPYS5_|M@rKK zUg3K&ui=0Q{^LLICM2AWUMUV}W9CZ8vuA!Gzw>M`UWF!5U*;5&WXZC`dJav|Y?iEO z^*7Jo$KL7?hF-F3qY(7BDZ~EhR@a#amu-Ns$AoRZwR0^6+`@Ad&o<4DPfSrc^FjLO zuXLj1EZg=8L+Lrcno}?Dca9<*yqJ@}Sco3I0Khb?5?1xtAI3cg(aTGTp8#zfc{B5~ zGHr6FHSEUuU3Qp9C)K2cs9Ob2s&79rXQ$vX;7WKWFItb1@>+4OI)Zy)Zf_Sj**^15Au-q6Zh^Q6DSX6)r?2J zI8apz9Z@>L(~McY*ASRa0zZL4N(&aFvd=coTLIz4bD#uP`l{`ayrnj7!zmgDh!e?q z)hW?}7?@p!ZA2zG6Q}96=G_Vkahvq-B3zarHc+&|&laJd$-l$*&%#NvsfkTTKx6gH zv-h4?G9}1ZG-0zMhM{=x&X;ZZv8n2V4!-nHJi?;p4m0I0B0!&20=@T$UN^l0{~@;t=O4j>VE zq^C44S`$%`!V&D=op%p}BX8fPp$JH!dp#d(H8=i#A7(ms-z=g` z&QDpVGU@t$Qimw17o6-}|d(5hGmixGR3|@%s}$ez)NH zJ^c$9v=|KDw8;5`o*xC14IrwtgtH-qwjF{;ldh0DowWceNZu3_3mUypy;noe{Y4rk zhQICS($CX3-OzrmhU0S{2FL*j_|Smfd1Wo40|Bc3N_$}9h-vsT0-%Gq3hZ$T0P3Xp zsFu|DIJN%46w?SnNn}MmBETtmxv;O`FSy_*69Ljz)m*__&u^P4OtcU^>ba0g>3iXR z>)0R}!_!)h3uJH=SlKlRIKBbb240%NO_*medKr_I=b?t`Yg(^l&50~YUB0_;2b)R0%a zZZ9<|c034J!Q+le?u7!4OktSr1F<)WmWR@@-vNo%9F);@BXj*1*Y3VB#(bO=VYiUI zb@3aMK#}8K4x)(llxmFZTTZQ!bf$mWTC*Go7WJk5I$gNQa3AR0E70(p@`ffI%C7q% zk+P?Ig0Kl2W7g8q?J(GFFl+p6vwuqK?#+<(9p#5dlNqhh%A~cIyUX3hNJI$U&Bi4x ze$;%nd?vv=}xd7Wn2F5+8&jCslNR5z#7@M+ae-u4c!M9IHu{-+6$;g6TXR{GIRHciXqHf*d zzq3@$?#)(WXil^*1@U!QN)&(L$inJa{v)m z+?8QOqaFk}1P2S5Vhnjb;tu(C?9lqT2sj3YJp5K z43?Ca*P;^xnnxtcICPF?Q)r&*hHF^={3;Ky9jQ3A@82JHWyn2N8h~?=o&RSf@ce4v z-;k@R5S1P*7)Y;*Yr6^MFHx0lcz+ajCrs9$!td_f(*)A<+ak(QVllMa?(=hcI;G9X zicKu>&_h5$k@>X0Jh(#Nw6wQB_{1sWB*vWRYtWqkO2M>nY7fzZH$(Z z=*5X)6AwAsTMv8oIvUy&!0*v=)?n2=2JK8)oY;7n&SA~a__(MeU%iWAN_FJQGeOLz ze{fVG=1IJJOH2c24_+XDM2*e;&ove=K_~>ep&yq$^$kDs%fmSS(?u$q1gJjfoiP`E zo%bmdVUh2hYa6$lik^x~l5|Q|W0FD)!7ek`Kz&K(6{Cf=&er1EfhW`_B}s8pZD|~Z z`uXK=`t?G$QUq+HU?)vM6^jvk0izz^5Y9{C6peDFt~hLv+6lLgWtBhGyJF`=^|y$j zy&;+)+5$C-3#84Q!NmX!P@lCV_2Ki8_+r?^NQ^Me$a?y}2{*WTPk^9-N0nKm{4GFc zm}AkyyUb5o!Sc8sJM1~Ww}fpI8%cEprZN9)d1)`{@{rS?rtgi8j-d0%It_v`E~MuZ z-v`P9t$Aje9fnp$Mm#{G;qwj?shFsCHQATupuf7MLM+Rb~| z0ZFHH#?>_JPd>aGE=;&X$%uzT&wPDI@FW~vM43#Qx?gBlh~|lSZ^5_U60_J0B9Ss9 zNlPL(F*qX#vQy2TEgT#n_{Kv8?MhLV^^hqPY-+;StcBX2OomRlR`Y8M@VkA;T=SY6 z7r7%CUT=Kw2F``DWz2i(Sn0k;bqAyJmW4Z!kt@(15^SC9I2^Qxa1xoKKJ}pg=BF)E zzfmFWiK$4T>FE$H`UVmz0LF6={0SMy1Wc6Y>qU8BR>Z+aFeKSCePk8^RG@Z8dNErq z48QR#_Z5`zBms?i_8B+My%%U>l8_jSRvWo~)ZnS|AD;fTM-d^N=-^x4&|MD+sm2?o zV$G<)rzb=)b`>v(3Vj3gX-cVvQTriYT)*p|z=$=5VH5qDF;bpsc zMdlfU7a$~!W?MVE6toBVbmbtJiB#qCWA3E?XaR8Gl@$_wJdl!lJO$ftt!-@@z;p;b z1k%=$aAn_b%en9(iT@JtJI?sSf^6g#hwbi+(VIDva|o{J9jHn4mQxrI+A;Q{W(jh@ zIuv802Hx_J*FL(3D{0K{-kFL`=k@s7{?FubMz3Fq4l;{7G-Rvc>l*PFZUIOKwN$-4c%^`?wAn z8BBY=v4jlAxX_-3Vu@H$J9&3cL_m_H1uMKP`&St(U`w*?jzUxll_>-II^tk~=cyWn zNZy6-rl~p;xWz|*lg0rJjGCtA)z_OUK6w9Nr2Kx@25`}=$mtT~@|})&C6AH4wdjfF z76feIi_?ja;!*}E>p#+W-Mrr%m{sE)LZ{OiuvKVz)$7-vdPiK`-B(jy1?_s3UcuZQ z>sD<$9j`tSLq$tP8+zMToMNn>!b9qG3^+U@^Uoc)d>6_b1G*J;emp@*$S!+Tia{57 z0923$tc>^oh^D~KFdr{~Ex=?y^FbIV;6r6VA2Zfp$%W!KK<@!H&&nWXt<`^xQ^;jN zCpLtPR{|@7>mj;_+S<$wPH1*WNsi-aA4ELZu4L+TXCPMJ`tCg_A9z13!Olu7ZlUA9 z5mPab;_XnWt1T#yEkJ9bKWb=h-gWjGcnqT%lLs&LPoBY2oPuMovmKc8yTVhf_mq6D z1q7^s%+u!N$svpZH!Q-~5o(-@G7c72^u;^E9)e%rv1!*}5x}CxGGUH6zu(_1=E1g* zVI)X!MY{}pJMeB^;Ti21&|yBippUQ0oqhy@qv9|Z4H5D7^hBr%qB&zLctyU?GQbw7nwOeo&E_W zCn$Sn)oaqS+SdSAGplwW)0Z>k6dl?yYRjiiS4s(qgQ6BJZw=NEIrm9C7M2edu+-T& zM=4I?Z$XG1ENe6*RgjF2Km-xUAPTfnhc&I$e4XQ? z&EJ4qWe7vAPRz^D2=8m(8Lj=5%^i+TT(?vd04S;_PNa0&+oNcK4$_n@1TW;v!?Mm*CI8!6oPBsBmzOLr0u9C~Mmj0QE%3iXf+vhIBV4fs6chveW!NMJExgVu=j z))+BN`Q9KukTwvNJSDardEck=6e)xX!N?P09s}D#WN{vCVN+jU?`-6E#K&5ZbbX!Z z(MQ~H+=fC;JM?Se2MOu`@=pZbfV&29Yn33762}x}G~pKpR8i_(z&F=G1?7U7m#8%M zzhNSEdqRNsN=LF;5xHiKh+kqd!9KZ8L_es2VTo0s-k|DMEGB7FzZ&9?@4Pptap)DcAI$+6kmS{?b+eQjODuLcy8j{07WnoZ` zk#4bMLxJ$P4m-}Tg^|Q}1t-^%{6R45#Hk8{?S|t&P!OE}u1O}#AlV=UI2X|;0s>cq zv(VDn`QQ_ck=DE0vvw1b3$DJG>yME*30QitI4(mH9XA$s5+D!n$veyuLyv(1IU%(f z2PL5xfoBui4&faK>~m1~2B<{8|0HEZ^_b)n>r2?hDWRsT+6?xy+XoJs0A0Jg{;y%_Fyf1DS~wK=wT!f?1srKgBCAZ&GyHeAjy_ zA&;ufA_JFxl%1q)t_aoA^R?@Crdy8vO}ke5PR6Q}ulB1SyZmR>J|xeG)b4lgjlRS# zy?gYT8S;g-yVucBCB4r72mc9lN1D=`{D1mjn$(tkwAEPW0M0XHf7Xr@4LoX}FC)N} zJ7_EMPNPcKc0R#<36Nvk-5HI}*1ynWk>nVZQKfk#VbOpPzUbwrjEFHYMl zsH4$lQ2D2gr-N}1&qt{z1vR1O(jGxU&FMe5$VbGX*pNMI+)RSMQDQbbB;Qjwf33&1 z?H5>*^m>3S2NXPrz<>6~Yr27nQQI?rp@<>{zZ_|c zB(3grOp8EjDOta0jY&We;!6ge2FHJjs?;X4_?JBaKdjYbtP2ZRR( zL$HOU{sWbld%IW&7*8^N|5pMkacj!A}Y8)vA<)N5U=iG^sN?e!sQ&_i$XMpkgOw96_=)Xae&`$l(s2@6PeqTR*xYUH%FMoV(IO?04*L2buNdX~&LxQBiy*mn~B6p>@Mg z=v?~;cW>9!MhDMny;5ibL*rf0V8uK+{_g&<#OcUYpU)0Au%J16p?pHwV{^yc0!gJF z2pi^*J;Mz(qFC7kik`bpiSB#u#QE(3aJeD;JkC^fb(r?Ib%EhCl2kEp3rVWCa`+JN zhI&y2;+e{4SY)-pO3;+iQ1*Dw-%#)fZtO-9oDhdq93}8$D!OG`_k z@ddc~S0%;X@RcW*!Q|QVX2_SaDIuZtA~NdfL8c&mOgUpmt#jy{8Ox?Uj`W7}jgJO<0PQUV6<@ zY?=F5#lI}YWX>vVb=(1At?QR*6c|2wAKDbLb!)?=%l$i@WtV@q_Zr68EY~Xm&3zas zqOO%ax`VFCH9+GqbB#(puLlQ%V$feejV9145_}TN=uzr*__Nc{L`H%Bi$YPp4vl&{ zCiDi5`yrAce-;Weg9mz>Oy7WfKBt5@m3u?Qi0x=BixEAp-Mq(R(jRqekni}LoVyuL z=H~ZQDu4ZiA|(=719P|r-^FlLO$4JXg<7GprG+0_cI>an*x3Ep`wc*o)z9PDFzosa zxFGQ7GuZeeV`4M_FLydT83qZLq9l9r7y^-a%jR%RujAm*!b~l-)3ccG?0NuhA1Y-y zOBzw5+AjbSWWR+m(s@o6aRr%3s)dYsQC?d5$c0C=-#=cTdOKB*>wRBc#HO9{N)WKb z6v8Uinp6qz(~0+Q5&y?OQTwhhD$Xx>$>J+V#rba=?m$)gJ+a0NC4B?P8iqxZk56NZ zUO|U^LVGEGC8c}NmxoZc0-Q^>MV`A3@~=iw5yOF6U7gdOgM8 zNNF%E{TWN7s4{=0XuY(no7 zsDQib3T$N02Rwj541WAb#tA@Sb1mq{&z~}aV$!0jjE1VTC@ngk`dmC#exY^ix?FMa zaY>y|Af(*Zd^>fQBfXMUEGSw*g0!H+%ou_2K)ozBGq@S$yywL!F1Nt{iU9qG z36>~~fH9D9A9ziL2e3H>5_4;Ow#{byB3To2JXa=NpY)lZOs@9MfsO`{E1Brcbxdq* zWAe}MM67X0knlw<_Y}?829G~FCXYt&%C^dji!+&8CL7Vp&p%M6{r}T<1>ue(vU&gh zQa3z#llKM`V3oD-`HLf)9rQ2o)O|9UL@hPyi&h=R7e-XpTl4Jv$p$B7OBny5^(2`ar{LK2tk6Oexqo^r zw=2m#L)5G&tnKI%({R`guEm%B(z#mWV>EB#gVQ{kFAq_iSPS}q53#z!V_4eWV&M*g z=ZpNl*6JbzF?evX(N_AIhG_ok{(@(_V$mCfnll@#0vkfgG-3nD34gVXZqvsg=FZR^ z7$Sqe6*we^hxtBR%_U}Xta}%bj8u$2k6bKM?M;j6edfKe4*dz?QM&0~wR{2sOr~7o zz!Ez8NEmbWl=yhF|7b;-Q`jh2aC*_q=^-0|^hVhd={P>q~h;50On z4`5D-eZO@jeMD+mN!7_4uOKQg?7HCWTwNQVQw z4relEzJ>fP@=>nYOoVR7fjnO9_*Spzm{mEwb!MG4!f@WlE=u@8^4)n7zy!!!ovwu! z)=hUrV8Rze?cl%AZi&l#^eI4Mn1i0qe_TVTA~kOuWGVJC$H=olmrh2%-DU;Ob(?Q3WY}7 z3id~4zNV)sOa^{mV_RTRCyBc^9(rOg6=>pni+D+A_~ov1eswY5c@ z0YFkqvNW1;u7&VU2#3fF6{JvC0l>(Nvc_I3YyniK_Li1!0q`&t{Qmi+=m9i(aroTt z{zSAp@58YIym0{sm>O>;>d}`{ev%E#qQr-LyG{&x#BDG z9{ZpfrD^unC4>)H%C$rw1A!m%4=$qw>)bZB*2=~Tzc2a_dh8r6-DAp&{o&!EkH6Pk zpxeRyLX)=oFJX{iX%OL=DG8eH{zz~n1!r?~<#zbh2(tmmea4tvV9lHbq3%EH>gou@ ziu)rVG&FQir(B99vaG28k@JWR?A zlZo%2S@7OnmoT?X?WPkzC9zRoNWe6%Z`Msc0qrYOw6?(4U4tb*e$1lTmkPK51L(Q& zJ6=Y?u6(NCQJFVxT&*m|!XwbSHJ%FrM``-K6-Bb>Y%3Ti*D>0jCP?Jx0o#8nm>Vi> z)h9$T<5#__VCPtp1JbU-CtLojbcn#s{*wPVJchy6 z4d|p%KvGU)%E@sy6(~TgZo_Kbv-~E z${4l-L5a%9eWNU57supSi>NBZ13O$;Sy)t9yV?4Kn!jNhs?PP3c6OXO ziSB(@_Gf zArWa?gRXLiqE2`R(1%Dr&SmI5NS%v^r2MY%fzjI^S?lkpe(m2VVrnxJN5-8yeU!CI z+)&rG(y>Mo>3lRywU8_$>M~{|tI0@@TyNvN$#aQ4&;(_WKSAe>l&p z+8m2#Pt|Q<6C~oWf?h*V+f(O2uT^P*#uT}vuzMG>W;|Z4!%BYh> zV$7a?_gLlJvl^uzv$G;Uy@3=Gh1-~P#XV6<_vjb$tDk1z_Y#%C0m%lOugg+bnL6y7 z`v30}H}DXj(I~r!C_>hOZ?V1pg761WCi)K$Q|>l}4bXWWwNnX#3CMV7oQPzS^vp4k zhXic`%z`YVx5{ys_6x4D1UlRGrsif)9rpu(2`N|WYiJQomw9+w?*`rqcdNowGy#y# zw3fMBPbw5sNP2c?GcBJD`n_seWOgk*y-?(F`e0SI zOp|o&^`YaHz;$Tq>9?Qbf|M2-?EoBywYUUey1=L2sahxf#BPf1JnDkrJ9mkbu-q?8X5Z&y2)h^tE+D#mHE~N@Z!vTlnb*k`{B)xXfhvXp8 z#?*j>PyJ>xa0sL8;by-Z^a-Vx&Bg13V5 z3EVQONRdW`uxJ1cX>+D|C)5%7q@!TQ%F0S6!D2;t35$yA8Rgg9I{t<`F{Nd#j-dAM zH{9QV7Ij^i*a~jYP7RlieThu!ziPlE)0J*JcagME%kYDh>Xr%0IrMg zzX9frIlz)SmJhC%``1TDL*;MV|Dy$HIlrqia!B{(w1%7%r|wO2xn1n)!L9$2$PC0> zc*<^xgrY%Yj;4xmd6`8I!2be?eq>&GZPl6$NoZq8F_Z1)-WVzHs&qGGc&O<#&iMj9 zMnl6(86dbb#7DN@S+_Nq!k*LB)fLv?j-Pd^W=E;oiQp+>tGR%Rn==Op$W4Tnf*h-^ zt=(tih^NcQzm9=PLqi>AsE; z=fU8d>Ust%3OeSGK$T`HP{g8-Bq8S58lme}E-ozGsn{-`8ID6(znctVfQM-iHPI`o z7)W(dp(Vir$U8EQ1DL_w9~S?B{^DD87p#If+ic~lO>tn8acN>=xspQ|3VpMq;<#;N z>6%dskIABFfe}#(C_IDSrgg~3d?ot1&u4eX7m6;`4mY#LzAPqUkC(Keg_~y(XB@~& zL|auDH=g~VcG339qhh9-e`?U`8v>ZejFF^w;Tp0zj#K)+EePR#D6aUMe?y~FNJNP? zr!P(pT(Vih_%R$Gl9)cBzkuD{A&FHk^X(6YD1;bfN_nVc^t0bn^}1az;<$V(oq^`#|?U&-V$Q?=0w^)-qpo zH8!}bX9_e@B|Hye$3#`GEsfM)9G_g&)zuY%YguFY%a9BmEpuF`p7%U5 z&}wcG`GKOd*&$_xG74cp%kWaH_7awpGcKx-KW*yfeNA$&aB{}1nOpW1@MO55ICHFV z0F#`U*Kbb0ei)q{ku!NOOduR^SRERG18o<97ZaTqSlSzV#JKCB9OueeLjh~0H}|P9 z9fibDB7JA{)BZDBj+388*VI16f3Ic~YL6p)c5{w4GN_Je@X%iJfJlyk*Av3pbL+JK5d)Tq1{0a)fm zW1!j3{+f3o$q_V6;)ByZ%JJf@k?93QrG>>Ijzm*K%rM7AN0R@yCwd3qOc+9%GQccW zk=3&ISN8$u!=Vh)ZxhLoz&HsE8iAl`CG?p@>qcx%mYZ@Jql50q zAyE-AhUAnj*EAtO&~eKs2i%$s7z2@ z^Zia+u@%uRB>oemZ-vHtgFMGX`Myo8J2gxa4_rH~R)h$H9j zxqc!~9BL(p{n(##tG2~v9q+l%-tp}VOBTNgB6BapX9Thb5d%}BoqQ+)8k71^5Kcjs zvw}iWeB%6zrFzNUY5m{cA-irZ;WXObW6qhx$Qim6MpfV$h2)I-Q5qWso@YPH3{IXC;wtjz!L zCVcT69P*0BMNS-ufdJN{m2eGD6lr0im{uN+dXERR9Yq`(#qQw?VIQk^yA$O!aDiRh z#R97Z*C`k*(!JJ}Y~;*+k!vVq8`U;FS-P1*;Hvcgzwbap$#K=c>?&zR1>)sgR)8^o z0U3pE%=gaJ`sLy2HrZA6E@xd_k`o~cWm0}N6EjrOB^ioGM(p+gv{u8Tf`6|I%&MNCE0hq$R*kw0nhVhQjxqdvnmiCv4OZZQ(Jn39r$2pwvKWRhHS;*Z6x9!w?}bav(y>i$mj zcb{ITijXn-q?v>Y+(LD@rEVl7hZ_x4k&PF%ALp=UbdUZ#R)M zHYXsj(BL##O-29rYI*8iTxoOn$(8PpW9`Sq&#Z8KLN2 ztG;d8Vs9hGDdix2uOv1sP1{$6imm-t{>a6*_WENJVuQ1;VhKUC33t>z|KxQ4U5;1& z+bj}MvcAxyp1CS5+6B6S*4>`Pr+bOj_wdLWU*3<{*y4dWb5`Q!d;g11dqT zqY))GOY$hTY)LeDYutuOnV38XI$QwUXBBj7D5~}W@o;jweQ`LEIKN#!)jjEwNqvqO zp-ZMY8bDsr{hY}6M$*@N$k|;pi;fz7^Xj##G5Dt+CSS2yP+Bgc7If@RR~rCP+*okM zO$H~eo!*xn8SXm`47PM{A)~ zJS$NelQcmh(nIAsi1CkP;CKhPU^2u20Eu&-C`~Opv?Hr1kdnlCp8>n1GlwY@I+g#= z?q#4!H5^Q+*k#v}RIlCBSdJ7vr~*}o`xJeD$q5~aeDi(mO%4|l%+&TG|FKAIY{g95 zd-RZ+Tp|P(+rm-ATMK7PP7-^v7^zx8=Xy=vz}yr z7Ue9}|yNA$zBWJ)jl0y+! zXM_36VrL7%=;hZdf1?@Hc`hSwUg2>G1pQFYlV#C6xtIV#f|JNMpk-i4t0&7F#_EbZ z!J&4gB?hPl9wg$4PPNK@7{CX|xv(0=iC()8TrwnG12;<3Nx!1HIPG;}lKQf{ouG@t~`BnTf+0{QhfEBXlR4z?$uQQDY7xkbn;g zl@wQ80j%$j!jq@nR|Ki&)gDw>ThWiQMMEgUgPJ?V6`xkvrI(%IFrm!av~V0lq{(Y? z2IzSq*okjV|5W`P|E=Q4hu651l9o_WT3VWh3lX38!gq&Pja=*33kWTv8#8?oQvfn5=@xb&laZ*k8aYw>HLlNTRj-wflhOG`@fXI9n3eRW6b z)H=mngG@~gjmu8Q@%7Zw4OpVJ)d4qYSNz=x^#8}bft}ET$JT&Ju1!HvbAS!_w{G>1 z$%27QCFr4a-t)%0F#TaDf?6}w%N5VZB2!Q)7Ji4wgexBN&lNI_^FDH&A77{10Q^~9 z-w%NXDL=?Vfw3jU*Btb;+qh&C8%7U4udS`!ns4E-gfNV-H%Fl7GBs+ec5MCG`1n7BIZr6*iDsdU=z>GsU*_hUB5UxVKX_E_z99CU2-+NTT(P27f=TRm+ zdsP%AU-GbNX1@1s#P6RmhMpCkhH$JG3Nah}!59bFcGmaO$lpJh7=c5ivmHP&k%tTJ z+mrN`3g^Xc-OWb8D1?uf6+RymIsjLM?x-CyTm^JuuC~D)#)_gK#p?y$Qaz9#k``~e z4ME?TnVCk#-;pJ8&JTeIFx{jj{+OQbc;@E^0rJ(&WJVfH4h#`Pl+maHUBtm)T^bdK zSBq~%cY^h`27Y9X=HJuJVwg2`=#B%~@NW!yHrxHhDF4|l6_xzkwnd^e)Y35B!A38M zPGK5=Tlcq6uEuhZQ<6Zyx~J=SJ&_}D5x2I^eqHK5u^Ac4VFb;}2Bj#6O9Z6DB}@#U zL6g3M^8ESpBv3(D!^5MqLx<#$S;a|ou=Pa61yOfX(KEb2jHh7$u1X;?EF43o`A&em zNLnA7#K6s=SFct9!}~Hqic82EWPOJ0h$g$`wgfeWjEfaEeym(H29+$aTrbKa&X#0D zVLwxiE^QMQW zy!@=5H;}%U`GFTB>@iWzA?9Or3b54Q%P*f{51FV2?-QjmJLuMTQX}0LJiT_;|4MlA zeo^yhzPc!+)tY~--K1c1=nPu!6nkyR_gxX2(Cvj$W_KiQ>BCKCsVGTE^Roj zN*fX$E&v{CWyi@%vG|oaB@k<{;7DKL58#&i&J8qkIvV3&&na}_GBiDd9c%O?6z^4g z#fJY-i+@j|EJ@Je=#IJkmE_ydp1=+-tA7WlADRA_Vokm^_L*%|t_$}SX~#E&v4U&! zu8m{@R;(3}IVsm-)I4(VD}`^6xopTUMhZKlTOK(Xgh>Vfl$J=qY*dNWFdPg&3Fh;p zNwg+O6JSypGl>Jl`q39+D{a*5NBF_dH^ZXY4KVA?ZKO{_#D;HwUD0^rTLFdEM73M2BJ#>)OSN?V#ns7`fPtT#u16Buc3X!V_ZdlXD;E z7P$z~GQ2Qm?~CA>lyZ1=wQVQmHm)@Y038SVUfWB}-7l~A{nUE&X2FC0+?!(=O&9?iW&`KXJI9v(4^5d z$a4gdKng49o%UY`7q*F9c933EC^#L6f8$lg&4yAgjAl0Ex`Tz<#Fn1L{CC0rb6bQJ z6ZOT%PoLD$X=socej}t3MgUFb(^Htc)_{ua%L0g`&~pZOJqOUmA1GQN6-!zvK5zrD zM=fAyS~@yWBC%0X)=7=MD6-*!v(`8`O2^3fMAHp*W-Jl@3}fC!envljPbBEsg710Ox&Oj+~YC*h1pne!V(gBHM17`8!j&Y z@v*bAN}ll%{N45DjS*K1l6?cu1N!~m*OiNMG#{_f(J=Oy=t;Ed56@zn>v7Bn-5mWx z?0DJp?3|pP@#G8P7`S67^m^WhFX%>bh^Z95!QZc;zZ05kd_JRvK3qPQr%r`{#@rc? zms*ecGwa(<_m!}mY>THlG@bVcx_s1G8de8REm1?3N(RAD$kc%+vd7mjGQPk%U8w&N zTxd&-iFo1jrN~RG0!;PEBPs28Et=DTuV0(m)%WkWhV(#CSlDp)1R6_%{#9My>DYY8 z*!U{Cy^q*U6n{`D7~pu|`=YW|`DHwr=^@z2l2BWhc>b^p{_$!D=G~DG_?e57b9!@Q zx;5w}38c`Z7tvy9DZ1l&a056x*QC!Pf|?)#=!z{Nr{R3P0qi5VJ6|VDOA_-sGx1?d zPfrg;`^^2%h*p5Rbl)i=H6mtO$g|NMe!Lpe)$&J;pvHwENfqxz& z&+z*hSUh$iEc6Y2X|NG}m_$r`d<(4q&F*{8^cLxUS8y$jH!(Gx&fB~EtDwmRVT4wc zcYtWRQODj64qk+u)a-vV7n6)(*-`|DNod1W2mUKhaPf`#|SZcVz?ycpjY&` zKniJzTIonhKMuen5l7aKLx6E`$iGNxczsW?aWtCMU6cd->qx1eKJv*`{w^Byfg8p5 zVblNd4fW3T^&2$CIyuQd_TSHZRU41e4u9+@ttTHZuN1vIhxHhK zCjIZD&8q{@rO;cs+S_LgaPC~==_u4EB5+gl9cTcdP22g0b285szXHYj$OY&8`0<$N z=obh)eU=$_<;s{+UeCt%7>jQ6p4f@rV@CS=Ech%puCM#w z^Lth1`srFt{ZO+n9i2PJPP+aknin|Wf0e?_Xm{pJTO!)Rge0!p(dnYYcn)5ko=4>S zUK^_O zmfls$2GCDQgSW2fy!!V4yu_vwDC;2xBqCYgwpXv%0CDdJ7qBXaB<~>Xnj%=*Xo`PO z&At!a=`UQGSGzc?cuLr!!haTIV#fmQsDPIV9-7sV*HDY|H8%o%g%1SmZqk^8ZU-q6!b{I z9x~crS>8ilHW?IyFdiyOc6K%~1!|@nXr^~*J4@BE*TQS{_}mu*-*Nc=s(=j%c{8HH zCu1=HEv8&JpsKp!DI`3YYC=(l=4}ec7(S>KHp_ZoMh2N|@H~+j_Y0+1_EpWzSzV=A zJLX>H3zC1&O&+ZN;|ur7=a;{8LWH_1SKrvU0aLJ(UAK!P{X_Ma2^FAUPr}o50Mn(dHWmw^bkP2wgUVLryoAPXPdc70 z8|gjh{{5^OM~)q90k8T%^0rfFO0WixGrHNkkY<6TKWto&aUcTQw!P7;e5l$F2852u z9a4CYk~RJuTwF(c@|9`N^W@$iJkzcGrmru4{e}%fVe;ojZ`3Rvq4R`th=2Zk<{Hl< zQPK8+QD3s>768#imXMbNFCD5p>2Ux_i!@fJ~;6J&Il!# zJzXE1mnVVp1+}Kx_cCD-5t3nxcpAe&Z=jMZi){%44A_H0v9q%S3Lk*Vs-^^&5}9?f z1$U)kvZ9(Nn6mvy)I>A+qCMw$`34RSjsWvmP5v76^AhL)d>_q>q*eg#oEd-5McEqF z$kyYQ@$t)-5D?tK6Q3X~+si=fV7l+i zWQ#1vY1h677WCTwI7w1KN-@g3g;K)kfB0bWJsztHD9BNsK1I)Ie(V&(2n;E{jRp&_ zs|(soOeAL{Gr57)3^twN*9RL4#p zJ42`Y*t<&@&OANw355(1=Z}8-w&tO(Q1l59Q()9+!otH>wPLf({U28an|K{Favbo; zvhj%VI<&39DS~C>mmBt(8D)XMpw<2GQ#vG_06rP6wgi$*xSI6$HO@GN)3qA1PL-Hx zV`dFj$K%4n=Xfkc^#-Nj0Mx#QyC3{|f>H3-vFT`;JcEUVgaRTWnAojRmuP5e(xOik z`qh1C{WOw$*Lrz*Nt=?=?z-TBz`w^}4S-*ENU5+&R#1%1%t(Hz&_1PPo(VKQ_?SWP zI|Kh-4+){)_uN!NTOQ|yx07YH?+vhjAZI69n_qG;wPT5KUMaW5gI|djv?9C?X|B>t zp4QgZL{SrNp2&>6!NKIBn3xUZYBErN75Ja4iIy^eE03&)weC~{=={(N#Wzi*Zy6F} zT-Lrg4SVI31a2rYtrKK!6?-6Trzq{0yeu?1Fz}iLL3?a@i!y2kf-yi_&LVxQw7sSY z=Ls*&;0WraJg~JCY1Z)-0*bymOZ_XV0LbS#bxS@OYMvXege95W1UMMOAMJb&Dz^i^ zG>U+t=YIIs0Eax>Wbt&nGm2*7F~u|G%nfH&?cZMbzpsFLg9Zl@5$#a6Zuq-@h=PcQ zhGu=6$d(mv9v)ePT4)yoBV!&c4x5v%y*NP}_{ikQoqLgy!C(X&nGY+Yj*7pMEGP zD4^4Ofm+Qm?ejyDbp=svYhbm3^UgkzXo!NbU4?=$OK=@tz{QQIGyt5CDSuSAR%SsV zL9~}!=I-w^FFnQtc?OAo!HOb7S^OgtpCSKv0G&ETa2V@PS3i{I-^zTULBu3K=t?bxnIeuC4feb|VD@LO5tZ zp+ZN>!wuu$oY)Wo1g87r@|s&?_xcg^0M=~YShrXD7)Aj@EPLe4TO#_$^cY4M_egvb zqzMcZadGh~*b<37D9PbFCyM%&D4QMLD$_0q>R0{e2-}hej|`lN_qHGw`f-!hgVIuY zn5HIic;gdq0183|YWagT_+g%Gd`)|*pSEN`6lx_I%2TioRe;`xMDK3!jza`xw#3F7?%wji%hXl$j7l+<(bA;-oT zk{o!Pfr(&LkJKZwB;8-7T>7`*QzAm>IviDu6hbH=SeAO}ev$H9_{YIZ`c#LVd5;06Fu8nvYbXtHs8V%78KD^c6M08YXat?l^BG%lzdGKN~59+OB!=#NN7mLxd8oU`|gg*5;y zKwvUo+SDU$&pD2FYz?&()-q<9(;QmYca#k$(|1miwcWqkRI{9h-W^rVu0=-8e{an# zdHFeOfmW^5RT^$&4@B@jIk2#`ICHYlLendnL7TW}x|sD8YOpKUzmljGkU`j-&(ZTt zO@GoM+$x$Sb^N*c@Rt5URPsRISX5M02nh|0z(2CT5ZgbxZDZ&Q_$z9l+*l}WQZ?tn zor@{}>wPm4DFTX$WGJM$40t2R=m~u|ow9KQHpZ5n|1H6W`92Q}RBf?<6b4iV^B#9R z76=S#(b|f`r^cCk8sII_o|4~~F2d!|1eAx|HF&ETjGk+`<^0L8sl9tGKK+2GN(BrS z$aj;}Cv+~bv*6%ft*j;X3C0jA%7Fv_A8~Kum-E`S|6j39nKp`KjM&Od145LkGNz(Z zp$ru=rBafi5Ru4G%2a8f6dCGDM1vs_O(aDFQc*~R@B57X?ECi@{O;HNyk4Gt+jU)^ z&v~wOtYaPPSTp~MQR=!kmSdyX-eqdPP8{tA2bwo;-tgVr^qA$5)2Eft1c-R!t3UU@ z3(N@ek8Tu%sweG{^LKnCSzIJ_*}mys5v(V1q+B>X#~7|gOCg4p?^WDcIx;uLD$Bg< z5VOmz@v92YcDy%ORaFOqW$n*Kmz|!T5$#+ytY2STS$W?{J@0~fH{l(Gs*fpNXJ6HW zGm7+27Sn!MLN~YZhsuu|si~>9muK5%Xi=-Uui%3=*@E9+D7!>uX5V~2- zENbIFG2k2zKVK(;h+>u6KRbOp2IX=#yGpD2{fjlFy-~@DC`M1Cq`LZ{wyM>U(9i)~ z!Io(Xy~jIy&1NA>+ z0Ip!l_6~jh?MAApsJ2GpH|P_6)|(U_VyJTF>{%HJ+EF^b!d1&zJCA9f4;AdM7vYLM zU#GctVzDcZz=)96Q8f5v6}6Y=i;Q1Jc+-)p zKYjWXxd^o5wsOk8pYNysdyhgWgUR6AU%FKa=_sJs$jci4R$7TJq*i3Hr5|dpC{x9TY~HV>Z24@bD{k=EA6V z*0Jx0^AfCG#Rv{z=fQq#Fn8{M$#xQ@jx|kLx9N5Q(sbw*8E2u3I8S8y1AHC_M$T?Qu5*NM zGd1*>?Yq|!6YJJqReSJMjm)J%dfpT)U9(SRLNTu#8oZl_-`|C|Z@-SeY%i9Zz-Jq||6(XQ>QS`P z*sDxi7s)lb$HdBeg)hOa=eG+rho7s9-`#E4qPfol&L${W3n3SM3$b|&;u}v;(MOO?++ZAUKV#<1 zI|S87G3{F!*O`)&A4c|*A-x`yoW7rJ?xaU^|2=7veL2(jTR5}?@D~z+C zY4Nv`7ykt0gh#rMm`{M!#arw)t$)an-84Fwg}V66@vv&2+9Ood^4#!wZyN(Txb(rn zhQgo`Y}i-`YF$U)UG}!4FWe3AC~tQI)=BZg)kYtY64-n>?5o$ZG6$*Xdop9$oZ@A> zJujZPFkvm5VI(4SQHG2lXWgffr#PEsa&+#QeQy%Ec>Jg!hn#Ur;c~0I0lu(Xfg-O8eFn9k*hvcGqgTK*0*1 zY<{?G!t8<|sqko`i5H+|duCpH8bDJJjPV0v079v}7O^(7Z7Y zt5)qp7Izk)4yE6-XS>*i`yWn%UX&JeF2GU(Uz^6}ewxISVZbiDc%iSqFoIEz36biriGoWND4i*hXIN zP4+x*S3T#%znp1NI99)+@5;>MbaW?THPx*R={WP_gs`U%iE=5T`$jKQ^`<>QJidmH zP$t4r;X#0UTP7__E5K+JJgru*UJZ+$0&Qb^f&ah%xN(YfJ$6z_dHAiZ=Sy)9lB7~` z))+Mm@1=s$`9r*Fy{9lQ+noBQAV|Uv{U1 zSFc**Jdu9p*7r3vRu?QE04CNa)$lU-@HFYo#d)|Do3j%k1oAnbVQn=GtnnlRl9pjfwSZ<(OT<*AiTW4LpBItKa(Y8h z!X&-EV>khek~YgDaZM4@85CVUc1!mukt+6$9FZm*bbWM-c$;lHxHMTtX+xh(<03~T zEw{}`#5a^D7j>@^8=yVfo7S(7++-1|lP&9j$f$FS<+5A&l|_=%0pR zmZ)`fnKg5!Fc|XOARh0oUDJI$r91+N2hraVOV?fFc|3n}e8mzd*cTZIaEO(4N|Iuv zWb@5;Y}+P7ffuvxnz>mPJjaNYkNQfAm1<}n8AV z+N2&dcUeYZdf}PAYfUo|yVL6KdwmO?(ytTFekz3^a@GIXi6ZNq_AUmx>KHu#?DUhn zB1XQaRh~zfC)C5Z9ODhQ>!k2{5F?V5R+EPvwPw;qqQAL1+VoObTJ$gG(Zn7l%AS=^ z!rHSI^WjPBeM^XB#mYPhGXAeJm7b-*UW+(~!B}I3-Nx#r%k~NXCW+W`#R47O>C;;YWVd67Zf272 zC;qfc^b4k&mUS8&qW!SSeD3W$GM;onBZ)!73N#q#4Ja!0p3 zl`@>vyNMOX{*~xi0^?T|_#F^BUW3`QO%&@HFcRISbOJ}Dz9TBPL!$Y&ENE%$F`r&q zM_BchoT3ifoJvYM_2u(Vg1T{J6*2a~ojW^YtXHqjHPg7P=k>?DCFQ;ydIU5?9 zN;=Ki?|;8+6-Qe(W`MGCY5Y@am;bGcwMsD*yXF@c z%OFTz#@6Ch02tXU+$={NpBc991xlL-85!Z(W|cWn=|~zEz1@r*&{FG$NTGr-H&c~*@gqiEUt}2y0kkuG;L?5L z0=xW%I2q5O+P9N=OGpWgiwMspZ{G^WNvutvKk*eHL#e->{G{N&br1cDB};EI+C z8CU-a6M|0i5+3E|dKsyfRS3eWPoIt$ZTP&~zjyBrnrbONQfU5G=!%4B2=FR9RFT@A zI@t^I!RXo=_Tkcc@&woE8W^;lzQ5;WgbwPF7oK9po@Q<&h81|H(QDnPuYgYmMRg`a zy1r&?@DAK$)W#pR3f4l&!zNBK^*bIS5_soD0gnl$FrHP}mv#TXuAmJllHDIZdh|CI z_ZQ>iJ*V`WJY~vX1a-M`p+n&LD&}lL-X;`ND8`%Wr&FjWL~92=`!SYpo*!vLibZ@- zvG=pyzI*qIigp@cUCf>e-PGy$DS|uc(gi-GxsP3cX!ku=1Bd_nu+uB4?#`pEl+{u~ zD|8ELH*CEdAon}j|L~@aX!EPH%f2#Ikc$o`Ud!Im(Q$C2bJ92>{R%X8#g#0(-^bvio&20j7ENI%(g>xm$qPtvh-*tdF$3TB%u-d@wCYf#}FlZ#sBc=KKO0SckDN7KT_7N;9@IU zjpk$HOm$FZG1+o^IikG-R+>smlRw0ZUTdiDRn^JP5kO0o_~5zqIYOMV*nHU0!JcJh z$vh|F{&jYq1<1YO>(|z6+GbN@hxSgRP+mpqKhNm0Y6Z;5C6dEDb69d0pYW;8|HL@y z5>nM#M@NB1C8r4KLUu{B>#rE$;UQM`@M9z%G@HeiH>UHW@6n_03GXots+eve$5X!9lIEAoJF=yz(8G=W7K2hROJf(FeI^(d6dHA}@jYlJy!=V6 zRET2W4nl7C))<*nU}Kap(_y9Ma_NGl;BY9mSt1_4Nv5Fh;gys$frhMF1tN6nb+h&qSjC?I(Rc*#t|KGzHOl!nr{LG-wWmEX%Qr-@s$u1%Qzm^w!>un@a6@ zF58~IcsDxox=71uwK^YoP8br_U*X14M~V}YfBke7kzmr@$_^+SfyeS`ET9)+1FF$G zVnkc?dIi5BRv~{i3lMW@P|Q0hXeBpyck2HEeXnZLNsh+C#7#p1W_Q286$`(>K~TD1 z>?3^su3f`C2VCD&ROP~I@~TA#nNtNP>;Ld6JB2l6Q|#7+ebjVt;k!z7|a5j>7I zLaqL&A=S;!f;yn?gw8>{-dhEH?!p3+Yc_%FBAW3kjz zOaZ+ifFbC&tH3Rw1NW?zgqPR)*{%Bu9FJ=$ud{0qc{r)QxUk3so{dq^n+F8)4qe-A z(Dktef*7KypwPX$Ow*JpWydSWs=LpyE9vNznVA`j(%65=bt>2!JWEQ74;zI2CVM5V z3@mmUO{G>jjg%p|>##+GR?^z4|9V16*GpQis@;kUwXvI+Zv)u;d( zJ_5PbBfES}_SIzZ0SHUbI=q#qSL{ZN9C>T&&$>SDJrxvoladxF1WcPUrI?#7@t}r0 z%@L73U5(H}@cWZLPeTaQ>pENurLlwOYu=(ayuG^{W3oOw)}Fo>U0GGte!_$#*>tjk zViV2H+SW&3S)wEz#)}!hk!6zHa~T%q3=T?HID660?eG8C70sLZ`3g`F3-SkyMPpXf z|4O9DfNrSm8^5BtQ_N&!NCQS*GHGr`)VXu5z+UcB`mVR~vQ2&^KK)k2QPsW=RtQTHed-|EL6T2ydEL5AN^%HU5JV5#hjb$B#SW%+gn*o-l=7Vqt zk~#e8Y5TTqyBGmz7BswO`uNtPM;Eil!Wtr*(bE12HfUi{NpSj5Tg$PQSG%Ehr=^6I zxsx}D{Z>B}`5pV&;WD|dwM!3o7GhnsXr|=Q?*DX3wO+z&5b|(*sXuxJ5Ldiz5t_!j z^kojY19k=l_2NoL&dV^@_>0fMk|x8@yn}ab1c|F1ZD;OnNF^uOC2f;#wH$Yb_}P2w zf3j_xHrrs0n~tHUC)-*6#)mR2n<&m0JAIVg58urzmbokgvs=vVwww65`8tT}uQ`C<5wU3kIxz z|FbFfVziIuheWbFb*X33En~WDVhY;5i~6K3;*E>_e1k5}$jHh{7sGz*OK0HoMWGa| zofkf@zv#90JGlF#E3VyJ8=(Vn>oZcU6-&#tXV09ubJ4JFpPsR;`OMr3&ZcV5tyDyo z_mR`J@RUNh7au@@)gq_Gpc`RvHEon?yqQh;kiP6!>nRz#_B9g~n_wwiZa?*u8o%gd z`em9mg`lz7YX;Ts063|Y+nsvlyTIJM2Nz>Im(RnmhdgDOSerTjI+gV(w1*9`yLPq0 zdu(3lxci9nJl~h*U4I)1arB&m?85x!3uf z2imp95ihTf+c#2qz6Fkm+hDuf#FV}k$`?P z4Hn|B`muR}_7ROykw58%Yzq$V4a4&o<+cc|Fm>`jWzr!Bp%0~wv!=3z{3E~S42FqB zoNW;iDmW+aCUg{?m3|64&flVY7Zsb=FmK8K5kcPMcmbkXddMt>Cmf=oVRBZT9cK-0 zlJ^kpIgxL{mJjmtkHxH5wk#E&osjjbNb+6wrpo5^(O9K`^OrSINbH`rCTB1G_U&6^ z10$1hD4!Nk4$`~$&W;87cPs{;t7X~m;6-`~7a2ylgxDjFOL&RtQ!(s+iFM(jA5pUQ zw_3n~E%_{_I?75*!;^BEoBNuN;QVk|dAZ5A&1_@2RRLt3`N;LAf;B5M<~ety5`I8! zZ?u04AzKX5_tApg7Y`snmGe}8ZV$Kq`fhbAzEkbEf@jZaPu|B)_9D=;&YHp^ zzK#;`b~>6qv=;kG4w{F_?)D}h#H@D}AYe3$~I!EpK?=Igr@|5yW z&uY@>x&*jryKTHilGV>AhY!# zQJ8+A8K0)`WKd~)Sy{vI2+l1VuSe^@#^0RV^g^!LM`~T1>6J^x=T)#@vErQEMeg)P zVT84$ke-xU^j_b*sm3>5VSwDL56zi4@4BwVjGM>^4y$c zSNG>Us5EM>2afw!`nPvBNQPfuNH>_u+<4)o_l_Js)2jLiVuM=}+P6zWc#LXx1Ybe? zkQvGt4DFaYZCV^HP2;h}@Bz59d0X9o`t)$G@y@|2FBA z$5p%kvbB>(m{JX`fBA{S7{Py}7^6aQvNmJzp}YB<(S?-t4f~C`z`3jk?W&-Vv18sW z(D&YkZ{LKnd880`^S@jnyqhds7`|yg&lEePS@AkWJT477!Jg`r68wXIGXcHXlyhQ8`a)tK80%VcVJv<>n2>co7hU%GDH$jTRqnk}U29{(M% z=}1x9$hwFl3x>a+F3$h56)TdD1gN!fF+fj!iCQ#XshA=sr+Uy(pw+PD?BQImdC}ir zUW?@X?0QZc7hN5l!_6`Y6)MtlIN*y!&MQRU(4yn-bm0FUG9@weP5=9nd~RHe9CNDa z`h33u2Ki*!*iO}zJjJ;l6f8I>W!idmpkUID~8_o;5U za&ZuzZ+$NDyJRbU^+Scg_P~PA5uUX&HH zG4^Jq+n4vpQ}$1Cv;w-DBw7z;vxeiFN0X}x@g!JTXg`10(M!}#s_zGy)T?u-;%mM$ z(wr%9rGFhcs{kCKn$)R>lEaP!aX`8bS$Om0^UJn}Qa0!`D~j9tq0{<9cbGvlQfPg& zy)#s|s#K|m^*$nC?MJi#{+7x8u+ek7z<$lBZ0*Yt^G$D>fBUtBqVkbCU6(<{7Y6=E z{P#LLtTgl9J;OKl;V^L>dXD)p&CdJ4ffbyJNRte69_Tp7cX#sEIyo))mcEr5#QxE# zZ7I=-w7ZT2PLlP5z&HH-$nkBy&DvN81iAD8d;M z?`#hF8wkRLn(f`TW5*Trr4@6gW&|3|yU9}5EL}4Sa?g`x_nH;4nCqt-)KH5YKSnhw zkdF?UV5L!9MVTC0$u0Fc(6L=RIinrpxSsP{pQj~EC(N43E^7d~eB(=(sWJ{!yjEYJ|ALx`5oez^}%Y@5Wv7O_S5S*;Zpb2&w!d@j$={L2J9^EQUY92l7< zhI?fk)b~vOQwf&_Jz<)QZB3IFEa)Z?OBs0qOuH@}xd}oWi#F-w0H&3^7`i`2FqL@x zsQ{fDzs44;qaPC{Q|>)Gb=t<;))5^+>?&m>U?60;I;g?r%Y}ppdRB)xEh8Cqyq)MS zCb?d{SGgy3saS!>R*4f13U7)RcZ|2WQ;rGdfM}#{Pi{)`TK?cmEZ3cHYo1N>C)g939Me z0CZ`;lFO-sMMcI|fxbuYTiO2z-Ff5clnI+#{gLdK_R3+1($lw_vunwk2x1#nC*|>; zqNCJGGLxxsq(KYD;-b|D?})rHrDCE{@LhSPcI2AIkKjDy6VaQ_v-t!5+-31R#o8k` zq5}?N_J&cvyOe>+mA1AKy=rLZ^Jr>cBi_d0$y>*=_7+odlfn1e!I}=ir(8mlD?I#O zI_ez$VG&;Kl%F_>&JJb72Nu=Bj*2&p^nsO1%_NXQXFs@_g~!zt!0`T+$t-kmTAq^k z|J;d%1-@6~*49(5f2GqZnt~5bYWLxQ#e{~zjSlvd(niT%c{L!?*NGVB2lPX5;>Y2Rr?0ZjPAA@`jt~+Y_*&Kl9Vl!n|{2U!!+5 z$#yp`TQG0l!QyymvPUHU6U>Xk#z{QTnyp-Pi0;D4U%-uyPzC-Ek

mek?o7K9iOVjy10yJsI8p<4^QX29pn~dGo=qqlwJs9t zucMFb`1gwWjuixF{vUy+83wrGxjtIB3pSgW?jQspF0(6lMl0D4guCHX>8L&b_s$;Y z(S}9mNY2Fv<}+#`KY~~!hb49~N0^VtUaoYv8kbMl9`J_l#k?-Hz^+GJX@Qq%l}UTA zO&?%DtlF&MxF_5>0C8Im8)EgQ#9 z)mNbDtnh#EBD%$*efMU`qp~BRamcE@mfy2=-rh>?sHh<$-;+1TZ>p%P&)>`3!^kKH zruy^VLi^{Qa~`Ue7M67L16%70MV;%f4mENHh<-AdjQOa(y$_MhUME#GG!|U`MTUkR zRAHo`q%=sq7*A+xa$RWlxO?O7674ki`p8$$Cd0po!ZW~}f*SVU8!jZEC;>aXEB)a$ z;NbEXQu^J&3U#02KpG zv&pV30Xh%gQiZ-7RvJ7-&pOFxeC}mB92N%Zf1W&P$K%&CXOHC&^%m%~}sVqmV z^z>j#+0!a{Zy{CW27I)q6xi49Ewlc8emLIRBiZ2nSF^OKt$1$S+Gc*#fUO6iF3hcnR7pZvOi#X!MRR8_f^;m%x$>l}-a09{owdS?n! zixwn~mz{`WIn8UL?&)kBvG95q$a(S=3~4?-#K@8LQx6%rMt3C!}_cFhQ}D-$YD z$Bk!Heg}z(=^anf+2`@%Agx?G)!p&y3U~h1HtRBO?o=?3u=^OqaZD`Md2RpJy%fiG zh>FD?JnGl?>2cn*$H8w!g14U0pE#p>z^wn(>KlWDL3uUf26t0$RV%oQI;~_5XH4-` z{yLu$MrYB;a8X_n?UZu|?)GvHWZK+yvR z11Fv$Sjafcn9ZO!QnAK06oAqb@EMqmAY3X_KDUA{jcGu1&*&6qpG`(R!VY)fGbq|b zh#23ys=L%zx!v7Ehe043j@W|qd%HR7bNC)h;o6!GqqN_0k#EC|w#5byHt&3NCDP#q zdQj3@K3XdgNdA@!Jo!z%7+Bc^)ak5Mk3*Ch5sq2;Gl#tMug3Q8PU0j0g!x}=`}PH3 zeCC(z`og$#r#Hs(1295**8Cm@E_ql$n{Who0@A(O35%jLu1g}3z(rk+E;x9SosQVs z0(PJgc3VP0!v^6ZB?*3jVd&){iTZrQ)LFZkFy3?6y3F*I!O)NREKf8X9sfhqb%0~t zzU?O|qav%MBC;YOD@8IYQYfQPRwXl)24$5^A|tXIWM)(-8QHQ4Wo1)Bc3JVA_xpX{ z|9Fr8@gBVy&+m7S>pIspyLXF!N#4Fd#2ViIj(X+-r|P@6Z^dwD-|oq>)b{Z3pipM0 z&I2I_l#kDV4C0sYN;xbHgpxwBhfuI3`qs zV}*zXiClOFz&Niv)70H68rxyRUjxn(J|qR!r~WwquD$lxS_=BI>hEVEGVQ&2u)QFk zVNEZNq08SOnVU6O?^@L04-D+jwr79oZT3H9?e2u%<@Z7%5r*PT zbd{gtl&*8)5#U}RvZAg8wlWzSAdCqrjU02{lDGH4#AZ~c{; z2Y~iSY&&A4#4tr7Y2pU`kR9GO~0rM4SMLHMY+HKY5TQI$6# z7>w}4sNZUp?*W>_^cC45iY0E41X1oab^3RTJVdxg|%^NYToA4C`%jL0kVdy2N$$xUw zQ+QDjlJ;ZW`+dN6ECRDY!UBNhu0?4Af`02Tf1yS`Nrf=GHGCsC6QczYpv#JgS`xlW zMMZV43t=6m`_Ldqh%tVybccEdK)e1kR4Lo<$za=hczegi$9u?cprv&yHX;9j{;G?V z@|-2+k-F@2X|efDANGZBKojw8qg?#qU{56-WwDOFK&dVU8NEjR{Nt6^HkDiWT+6>? z@u=M^=ciqg|1qBz^=)$aq{;K}ZSGgDEdPMA6z;zzCX`^AShuOw5ZE}} zzF#Hgq0+6<8j1af-gl-&=6vNyT$d(y;zfKsT!`zEbds4-R5EZKeh3_(7pbV^Bb&bO zBp4`(CO}ep8G1Z%P$v($6gUC6D50#U>=F>D9CdB^Q)_T7_k3pOIEczEl;mc{Mc)G-|_QFqz%w766;Ul zTxmidt<%iS1GI?dcHU06D?ORGxWQ_cj^D=Hqb5#M)SI}XJfNcwJv4D=ExOo?-%!jH z18zdL!N&KUo8ET@ARfFIi-<(%Bj@sSe}|3q=Eq_Q0O#nYX%p%D$jB;%?31fZAGV*r zSat4T@2BK-Mq!%j@_BoEU%3yR`2e8ktK6Kbrsh_SftJayhIVfb+$~>roI8-+tZG#E z8xuw*pT^!iXo&-G0)&)@HfOHnBMt|tMMVD4{|SW->P70qeBOkcXZE%y^cB3Pp{AbC zIu)mPxVxUgZg{ttSP-Ynyy>U0F*1jDNT>$|lq$F!<`y}~fM3-}GxW$f+O_5DH~`K; zxa}Fdk#&1mjUvs#42><|~(OjR>+a9nKmUoFMs<*!X>}NWIXqWht!7 z0!eX-kW?_8Z&4sdhCt3!q&A&PG~XPXp^S^7!@~z;uBFmHDT~G3!B*TC zmcQ>`wtCrLdHG0t*qk9E;qO?3~l8A(%K5&p`(tbhQ^lRRipx`JdTabdJQ)PFi>Cv ztf**+*=GW7ix&oWmj4FJ+?0(!=rGrM7E(lCoXgu2m)nH=+jkVM#IJ~BjOzsr#i18O zqz!b6u#3Re@HCl+L$HcSEGCRX^gUsrp|mrhu_oCD`i2W{&kD%~&aSUo6PB?`fVCj= zpa-RWCeFU^2V}6pkcs~4n`DjE-}X!U_f$xUUjL=}vn4sis%LsgGOR(}u}*qTzd=c} z;2F^PjEGk-h)~XY5UEdJ=z`-})BEBL7O5K}(gl)FBdIeuP8Da+4Q+xTj%t(kR~LTG z5YZWIjGvfFGk0jG(LrCCG-`)oZl0I8hR@)-FGyh7vgH_7EdNUdo0*aEcNA)ENnH0- zo6-d)Z`bf8sV$gaxzda#9C=nJjGCi>Auu`eCd@{RL`Ym=SjvcgBxJp0rC7%uD`VLJ zLWLOXB-e@-*BlDITe7(!-s;D;gIYV}W-Mv((MrCui7YTb1NyM}Te#N=fNTk+i*c-L2P% z6EKZ8U=co>q=XnmPoC{Ca2#|;L5QVz_ut&N_Qfw4xUz_l3YcSE%p5y%?FCLf-S27X z1m-wKHfI$1G2dM0S*ZoAQ6GO7!_N9wC4D|P(yEt!c=rghL@|)De z_1)Y2Tdj0$D30RSatG1?tYzM@G8*}QRpwnE&<;c=xNsR@*_IX?$C=HTAsV11b35-sW>dlz zl)34*Zywk|-x+^b39&KAn^2xQUvvAJT#~r4V_4|D-?`p^)1B_V)w5>Vla#DGYReec zq>8xp2L}U+O|-^^!JhJk*YIt=X>fU1S2*w1=rPj2k9I|M_;sm;ac0ZNx`)3{okhRE z^7ymKTsdw3Qj~&*#r$DDn$=a@IwL7p_Ndm=%xgVys?trLzg34Bd;7Va1DgC83L}IJ zUI18ppe>%Zi%SL`OC4xY@(dEtt62UqcHOB(6!;$)H*9GB9^UdGvaai`2XreNXfCe$ z-cPh1{57y5_M38R`+IQnY)=$;{zbpIv|6SOF=K8)bf)K?W~|VB7b+b zF{~T+tR=wAkE;z_D`!0{8SNy~JLYGy8K>5-G#W)J1c-@s=FM!}DaaAKHsT{~+~1Ak zHRWwXrDn=keo-|d{|)1UnQ)&4eOU zR}EdMxkf!&j;Fr)Xd&t|RzoY-i@F{;&s3{xM7fB}qK}0Oc9$kG7d_Ev;K$$~t@V>9 zTmgRTMdjY2q$|H?bnZ-DEi>c7i=Iy#+{6E>&0r?N;z`X-uKOKoyzpdM3oGNIIu-FY0 zIiZRhVb{D%?~~NhzlALnJ~j#^x*>rX5B*QLOnT> zIB;WoA({QW!;_E@?cdXu+^Bl-ca#+RxhJAf5CWYo-)@)RCoztJJ3NOEbE2-IrhIiN z;`(*eE%7Rb`TBFY%okhVW$-S&B8!0jCOBvkw)_%psmO{nNaP^G=xQzKkH`QHEj3yE z#y9NkJ*QIF+t~(3LE)tQarqne$8Uwq(AC1)uLn1TdZ3@7nCL6omf z!$%qC3&Vqgb|nS=T4%RUX@6BoX*m6^o}TJBql|UoHLp@*`S7(HoIkx@2u^h>L}Juf z2cjsx?kb9-%7dZe)9U5@Pd#QK>P}lSwEUfkIUDrG;HV)4lB`_7&bdC>tN3iBrm_x+ znVv3{-;~ig*Tlc&+`6^$tJD!g+wByv_Xr|17K{aSwjFgIE~&O`>#f))l%lwjs@>qW z?--NW9Jo#a#jMY%m=S8BkW|9+AFi#z6S9*~K!s0vF6lpwQJ27ui$`wu1M7yPC&qZB znuzU+Ms7av!2>&&p5@>WNB3E?^(#={zQc%vg7kE+b|LTN!i+b6$ls?(p(q~P+^heI zmqTmQ^ui0geg~{zse#V%+xNYu&ZZec{=*xJ9&N*Dq|t}-`xM6=ffbi5K?-Juc#MxT zEpYf`@Q1cELbbH{aZn(7-1)TFeRj%}c}T@P?!9Y&2(hKn*}FZ?e|O@;-zwikOS`$Y zRJW}A^Y(yL>6PVIec8Ll=|*2LE1BG9xw;(lXh6s>$VWBb#^Mp}yr#cJ@y6Y;Vv=R0 zUI*IxO5_ecvYu>=R`U{4ighTfsGy>xcv73Fo_W~s?6{f3q#|iaZscr=4jo#|l*ZZB zFbDYV);Rp^L&lD7*uFthV*_P)f%C8Sb*(a^yiVT&$HAL|5I!+*%F&{Yf+*M&9%@qh zOyT*O0ue{A%@T`w^ki9~u!gzRPjkkNjn2jOKLh?D`NNyi3T9TR;HMp%E4WlmKlxhU zU^q*NL#|FFEn9B>&x{m5@g{}uSn@SEOU2F%liC3V*6 z+NXXzf@m^kpbd#1fu#4Ey&`)N_~$ z?hEXPbRlC~21Hqi(WQnB?G4l$8@UeeKzmG?#OODIt+0!md6+C&qpLNN;kj$_uAO}i zQo9A(F7JS7OtVw+ZnePsclO9Cb3*CBE^QNGwpI?h#QSP`-P3Da+ba5O#gIb!HPLp5 zV^8#f>pY#*Q~y3enuRpE&3WO!kXFDIDF25Ydvo1A_58F0$yeiZ_6ehSBnAYc#OQ`p zbQ2mcgz}Z)4_I>~_@H$@H)R7e+SnqRb<=M|Dhc_a$8{;xgvgF0dZNkBEw&gva`xU) zbkLBgF~v@e6KUq`_h}QXK{EXa4YKDCocm`&fgc&0ebzkUu_^W0ynmW z;F2LHo(k{lSIfmCu-m%hMZ8%;CD)HCiz=jT{Pyns`QY zi%)V4KT@|wP~mlu&F?jw3B+aFCf{?+X=R82b)<{GopCE72SPk23~Ho=<~Rdgpm#5( zMAdnLG#&s{=9f#M;AAgb{DMx>oi#? zjdCiEP{}?H2`Q~;$BWci(nD9~u{51Nf|5sRW%)%_{WAs8uGA(6Jgbj0{kQY31Ef3E z>2~W^iz1X5zh_%^{ng*RWs4U8&o}p6_Mz;m0PN0YA9Bh1!Xp5XZ%4t5(oW3(BeZFz z{SOTczQRBGIQeibDZ?vaULWmC-ctK?$YLK^O|!g)gUja}@yJ+n;vCnT!>rHhe9~54 z=bdlW1Y7*w{ZV!2FjyRYXoPbyzPliM8D_n#>7AAI5Cnw-kG8~7T08Fx>H2e(T>8XZNKTl5sqmlZ!tML3qQ(yWzn~_YuyTcl<%}C zF-4zK6)^RV8dBWEyy>5+ndIJtx1HZxOP=!v+FBJTDX#7bvgkl|#U3Yqi((5&k_3et z23D#EZYPc+xihl;6^WnJan8ow&4biHbnR<;UuahI%xlHUfxl&*UQ{!B@+7r< zucpRt7!>HM7#o5U)wEu+`yP%J!^kT> zFsQ^X5{F_O71sx$-Tn>k9P+Gp~9{P+Q` zW@n@=&qOM2Zq|+g92)c$jnE-PFgawO;%;yVv)c@@Ltx{ z)xxtnMGWJluYt59Q_Si0 z%T=@96wKZX9l!yn0dYi@;EfiUy~%XM0ve{>ut6EtDRI=t54X!`h#P;dR5UYtX%-vw zb-jr1cQQ~G@UYE3O;uGb+fH!xdw307qnChbl1UNA92^cHASnOU}(i|bHKZ^?Y??u@qBD>gz)2Y|G6?-lE96#_@%jZ<+eU8b8j#7&8Kw2$B9%DPAvcWa>6*y;fBs1vGb8#XPpY-?Mf3&=f2umAzk0m{L+vVYmQI)bkUcac#=2%nuOiru`l6J+Wae{c4C~U};II zUZ#dCcIp`%y$twNNguRtJHI1Z8bs%p^k*Ckogwju*O*1buOKfFkxD$OIj+zJ zq&PnnV5eLk5Eaode1G+_f4GyxO#n|D4z=)2R`G1GbJ zHigr7L+)@TiIk3z0gY?w3`VGsEP_nr4i3`JECbl^%tC&)WKHomQ&Us!vD=5RL2IUm zH#zN8wdnfr#_D`(tB}nHKE?vK4}Yv|g9rIfw$#4C&nxE;BzCokJ!^9l{EJPBaLBNo zNg4U5cn zFU=s$Bo3vXl|M3nPFgiU?{`YH%4*gpx?an0x8rbB*G4a=fY1hgtJR^JlD{GtqT9Hi z5*o#neZ8_YO5g^?&z-dw{z`giwU5BA1Xsh$2+?F?|9=n~ls~Dcv^q{u?683+!?2)u-+l&*j3{w+*uxxh0 zkp{K_9s;PhnFbbzT;01&B6x1+g&QB(GLxir>1v(KUadoq6Z&=#q(lKZM8Cr^QV$cc+ z`m&!+dy9l3CWnx-$GrF3mSj$z&2GAbFaAOhaD=z|c*D>8OzW3h8)>(&zuELu&~pPn zyAB`Ut5SC_U1#;xuyyO*1#CfepflOEd$+RGWbo|WYgnd8LnI%FkUx-+v`aWnN{QCI z2s?gw$AN1Ugp0G&i}0#m0*3GJIKbj_wO^>f)Y`=@48QJhXg%)76?wBUWswY zvwMH&(Z(OoJn{MSv3T)JN}xJ^<1l3g2Wb%9+5a#d*h$cII-RYZ`zP9;KD)mAkrCc7 zTGoN)eF@DYWrzS-R}vjAC?tG--&Sn}L~R-AD)6$U1Kc42`|QsF&FKE~3O{fr#35*a zaMaSwBu7%WVwa|g<3&MAtgq@p@lycyb!PtE-{StoDw}>{HneH$Y-pgsZ$8~~#zQlg zuXwM9caEFamc0$l;ISF_yp(VWLmP&w|BpH~YwpUsV~4mc4maUh)>7|e<8%;F4koN=7 zwk9i+%xCQi=C+*V4{7uQ1!(pS3WL*P!TIe$!4emJe8l%Us~wrTwM((4{s)w(>+-^u zk6ri@J0-Pc?nvSK>M5Wg|4mzWe2w#&;)VmKS>Qzl7c)M+;;Dcu6^DpqifD!QfqTHSJT7 zM8jYLh0@SQOHZ$a^c&E?tmAcDyy`i-_>#m6T3Wi*A$6)X9og)0{AgR(U~?~HaEx@s z|7!vGk^lDkrv$DaCA8rMCtPY?n5QnH+vDru! zdmSkStb;>CbTpeFQy@esk^l1D8=Mp5I<(wT#O0#q(0iYzZ5}Kq!7~>BPGnT~u2X3~ zi-dMR*;T|euvst{27callt}#%U7}@fdA^!2W{4)WZVj zLsGy_W9WE`vAZPKHi$j8Xz&+2vV|UPTGr9_Q~V45LbOVvEnX~FZQ@Q+m&8~1hD~o{ z(mC90-o2S~kSPoM7DHejS@l}pl84Lu+evlKWvMm2!Uf=rcz~)wq;PpZoj{s5bQ6CT zxm?Gt^yJ#pK-B#({hRQRpydO{iYqeU!bhy@>kY!Nvd{NP;IqlX^Z05(|_*Wlw$tz zGnv5&Mpq1F7x6EamzNVbrrF#Oo~EARt*agfe@AXI>K^Vw=WrS*BK*(n=)A`~z)REO zU*>^BYo+RmC_3Lm*3RLl>+crX?Z9}Dq+}sFpW6F`d-Mn|(+P3EqO$K?X3^*a06;WLAp_rYgsqMpxakz3U^nldL%uCQLpPkZVWN^c!6VNZvC}Z8yCqE<9%CJUOukCrvg1oI7jN={$AL--?jAHNp$$oD*mI0V23^u8J{YX!yGhc=4R<;M&XLtTr#<&lfj}K<)7|uNlw&al=bi9yb^VG~G{8utcKC1g^Phz8sfy|vc8GYdNPeX&08G~8x z=-gb_RTp9|CprY+garqMLNhiQIP1Pmgv*LCyv7r4MjsI*{^}^wmfXG~&j=plo)4 zIK?>HksbactdB=rCtsE(M%JDmYtPg1EuJG7W|ral7=OUQ$>~>aum})v2T^~c;&%MU z4#p30w=ai{UG701_yb0IPB6kH+|kjdwvrqOx8~b%(TqayrkR zCWsF<6iS)rBD}{kIe^ecg+mJVQr+r%c=9p%-XBWx`LXDp!$w`vh!P<(o>lount8oy z$+Is7i>Iejt5+|gQkw^@9C4upeHd-+DZ8J5bofh~jDKFwSkh(HQqc9@}KQJ`Rhx`{u6pLr78w+W&YY}|>{=)V4KNTQ%_!&DU}P}U^w97JUx zgnV(pCU6IOG+B56y~7dlrMY=3&~TaT zJ+~S)>K>zGe!OG*c7G(1qf}grnv=x2q9VxbgN2v0dH8Og0bVkl2he#wj2IGl1+W?E zA+#IWa%Z?j;sy$N`?9Ck_(*#}jP!EnP?Qf0AiFT!8P#*kWleu$w-$|bm}ARmPZ?Ef z1UL#i_Yg7ON&ePT|G)xeLTjI8(WE350O0n1W2m}YjplTnxdb{X&_rS&-uq&31Vu#HXde>6 znEl>xzad81_?6PYWOOFv;6s+t+XTI}6m#VhrvmgJ4ECBKTK8iM8!*R)FT$u}VaRiK z*(>=!>sbTnzMf+BC>LSBf+EA!2*wSMkfRF=X)G{N1G=SMkw-=GzsUZ2!*XW{TQuuF8#XKVCQKK0TWuef9l+b@B;5=mk&{reib(;l^Xx2TBOa$d45ztqT$dRS^=9Yw z!ELE*eUf1l;c}<=TVFhpe%$rLizh^x) zwVThmdy~#80o_w<N-K+x`=U-o9fD!Y+ zRcMC({lR9E*&uHDg}3;J*QbY<<;}IhR$NE47Pit_c>Bmvfm$gcbLbOJY=jO`G0II+ z;7#@eV|Y6WV5fG*>h$r0So+nNGk_LOl?=4lnNgwQuguSpjXd=_&l4%90I$W9jCxG@AT@0g|Z#JRrgRymx7FwC9tpII2ne zK~5h~I3QW1>ldyMo{AXP{CwmN6RH-HXa;L1Wqu<}hJe(L?+Z^YnI;hJyIIutBN8hR zz9vM9LN>T?3J75Ow3;c1_DD+zMKc|Yo#(&`)gA-LY=4sA+ptxi|KoVX`nVaYa1kdvP(V^N9) z{;fMat$T@xlk7<`T1E>O2|#x|JO}NEH{LUc zVewxBq*JjNBeA8Wd-dG|*wN5D(lan5!1(sP2jOVW9|y?q967UILG;9}SMQBpO@jH_ z%=AXK+w4svCNvzwbK9$7V$%ER^`kXf2uk$vv4B;5Z{Xc(P{l_;o0$CtO%;b$_sJec zz@v#k0^cs-P->NK2N9fG4KM#itIiw|(ApzcYe>Q4*tnDdz0HMzD^UNAbs$lx+q!8z zQ5{aT7KYHcF8(IcJ-iYkv(-d3TV7EST-vwGyHpViF~!-}#{z40YyoAOPG=^H3%|E# zF{V&e0<=IABWVrt_DV;cO2Qz+l#cgi_pX> zMsu)shhMJ8vb{V4(QJCHV+hr!^iP=FlXAV*{M|KMgw}$C@N+?WZ4x3xX8~uB_|YUt z&yf+Ia7YxdpA8Cs&AFIzvlkG=gy-c?@8asjABk!oM5x$n&g0P0aU5@$UmrTEZ*IQu- zfT`WbeXqm)k~jyRMce4g7q0kMuim^t&Q3C#=@w+{n2Ov3$t^tQYDLCiu6a(!!rvIo zr`{Gjin8_A2n06vznVy#RIl808Ij%xih1o{su|-s-EJi z?FqQi5bT#zvQPtldtKN9fc%BaQ58|{Qt|??u$;HV=gz;KznJKwApg~RdnFgDe8m?B zV=$c#f?qM;ub3EyC%Xh8 z?!vXq4S{1&@Lg~@#HawZvl%8tk%3$QD)*@cBR@*K^F#L}_T<}9h+0T3iy9TpArVQD zC)kzm$f6S8aYf_V;Q*XYJPHcN??i-4#+Z5^-_+Z#fWJ)iNXUgD(?Mx9lvIzV7^{!J zhUR;3VaJ^tKXp4h3Y`yuc}e_fh>{2bfg*%MnV`dD5wYqWKdUg;q77P>eiKX8V?)%K z=e9YB&>y+5+daHD4VwXKX`i;XbGjc@_ut_wzWQF+#v=CMtrLA&YTzQzZywHuvikXl z5A3A#B0M$1qcNqncrX_thjd3v^WzISZ=IBdE(OCzUoL9YtO)nq4%U{; ztrqVc8Nhccf=}85q9!8!iDXE3K&@!g^??bWSZ`4A*C$Xu%@{STI;@By5I}VprGepHi$N!aLn{1IS8+k`VNKFig!&&VTZI12v?exgq!=;gB*TV_j$$o-&f0amV z_Qj@ufgZp}SGEA330&a!#0e^w-`qUK(Ul4-Q;h$umwOA*g5}@h9Qm3KB7|AbA{Iz0 znOg+>rxHTZf)gFnRz;9-0175A3lxwCHgve!zY7gJUT@96WWL+|aL3fu=iDWx^R5G% zt?nsTov-*abEooBdF-ssfiCK(Iz8?z3@D)^k}*8a=V*$FI0yWZ7fO7R??^%~!L^Fr z`(xu-I_T#SpZ(UReLopd1T1O3vuDK%rN|3_Ye|?^h^6R(uuUq6+N2=4x(_Gw04A}O z0Iql(6r`0PTetP&&5;KfZ2^7BT0B}Z=#iKM9%8&3{B)HenumRHw~-t%P5C)iFa(fO z6jK^&Hnk+eV8qWi`7 zj03Ix;P#xMUBRo!ikCz-L>EP1 z2*e`8U;gXn!RyF5g(E3lDgMr@{gZMjcz4`2t=kPj#gS3?I|-Cd=RKmBa~@r;g+3VaH8 z<`m%Rj@g?OLu;Y9@3f5l@W~53Y;0^zxJ`cEr{UZcRd)Llg|4mp{BbXo+hdq`wth|qDD9wp%y8e_fO_vj}j;()oc?XPM{;uFK zjz-?C5r}cy7I5sDfVK*6bUH4Iq(7(BKI+>=GIQP=6F+KLHJXr_*?2|PanA?L|2fz6 zsC)W7RDgZ17;^I*KyJwQRSer1`-te0lrutBUm76XRpC7`=>kgvapmJw8qvyUs+mf){{ag_(a3Ufxo@mhCTIW(1=8K{dqn$v?xe*V~ryrZ)N>|~m zV#v+vfxWzTI0B8S79$C_xfx`Y=h&OO+#V5B7677Ew#9s~vhg)0wD$_2$2l|vrlMP!i zEc##k#8!}wrWg5l`oUTa+JUz*7T zt1Syj9Q|s6TdzVVt_4fPlA8=*DgYgz)fiK$Cy3LgLG-h^gzk|3^PmbqK zduKj4FXjB=W-~T-`QBTKOUGjc;uqz`et*#65$oHoEFX-e&V2<^-M+JsZQHcFjYZ#n)-*Q+^+klg|;*i4a_yt9OM|so=p0d6e zt9kS(=9EdTZdiV!H^c8*%>hNRr}9xd2nFwsAHwpTMT2ii=uYofw~*ceN#iBTPi^IJ z*FEksOpmFPny*2KY3As%SlC8?`S)+G0oi!5?Q+)rh-?)+bjVN&V%wS@ZG1dd%?X>< zaCUs#uB>}7`aE1&X8-=eG+C_-NBl((4C*RZLk`TNch)FiVI zz0zN&!K8saqpZoEie3=0qG3;-EXuL#7|uBUygbP~A`zHNLZ|BLF8?)fV&G{o3X+N1 z#V8#W08MGebG58q|6+BOo4rMAGDb$b7xzZ zQAwGe3a3Harf@y{l;pDS>Pc8~i@D1IgEnGtbw=zx$IVQzbO@Md?U+mo5TD5PW^kON zb;MAVlTp%j6Hdr@Kc>yrI)3}&;OECD!|vcirNr9LnZbBFb{CUI9thmy+!wBXO{{NI z@a~;Oaer#=t^f7_l@x}Aia11{RX*Ah@P2vf8(I?BIm8R#aG(?=N)*6HT4EtdjGiZ* zbQiw6=EZx1n!2MkoC`1xEu+F zhq_f9myTljIN){jZ%+5dU~ngu{k^{+QQufYnH1MVi=rQ;FquP*^K8yaZw&=tix&=U zvF4q@rOeRX0goM?l0hu7{llsnM=US7)#aI5UbpzK$$Isq&9 zH`)a)CUlZValy0w%AB^tF_j4gRO=!ULJ$SS@{p*jA`lUeMI!GfYC|Z77;!~kY8c{7 zSVPNiiHMFGNd<`W;Pc(HLw-%HY?oE`OK5IR?#x2-1vw9y2dm_H0FRSgAb&{)P4xYCh0u4ejZ5ap3lPk+tJ zVap5C%ZL%sf{2^QAWhBtp*uNwp?>H_AAWO4^BA=X?%sNqz@2qc{vn4HJy6e~IaJUj zW*#2Z05Fh3{WJXD_}$r%0DQ76h+A0;Jq`}b%}gK|2yA?u)3MB&lP@WaPp+j_LX}is zsIzR}_S^iw7Qh>=iv-)9ccx42#~StM#DU>BSRPRaI@2ENBGTgd~C;3NBrVBP2Xc zc)DU@U6p1tKZG4Df9ilnR$?(V0o*lZ0OJMqo4DTVbKD0mokwD&8N&(-=gbWR)K{Pr zCv22XhS5#{EdawSKm=Sz8Yw#Fk0mQI(8QXTh=H8Le?{WgPb8<2{Yu}Pq4E<^8m9T~l?w?4@s*ewbW(<{eCe|ygPR-9}+vi6v|)otIR)ueD9+rea+qlRS(7u?38fw~#=xWwvZ?ntwVqpa{d zvQY3E1+tD`zy7Akf+X2$9#gt>iI*6bGOpwH+wCwuG|ub{R~MPd_H6`|l6zH`|M6ED z_-v*vm4*2Dj;g*x>q|8?^)oK;t+mv>hoC$ze*+?LIg$(O&((3BmnI56%y-$&yjf+-JhfIgwV0d&SQF)=ag^Ocfqd}TRSjnD7j z)MQOZ-Yr*seSN+Yuq|c<{#|xKf<5bkay>sS{XS$lwS>cofE6DcXZRUiQG?+_Vc>l5(JLYNof<#i=elrI^?KQkIO3u=YxaFT4`(>K+ zjJ0_XBR%5+kHZV#Sd`Z@!`RkSlYPojPPySiX)IWQGt*NGY!>&!%y^$PrAU*3d-u$%}Lybna(dfIn%ZZW(% zEo%GEImfNzk%}K4@Q#&VSbliuKmhfnT~{7m6cJ-E5>e#Llg>YXd9z#hs0R0M%a1}v zSC3HV7l>@RG9eK6@wj;CjqIxqKfZBMtCup}r|};Uv~xC6R7simZhV1XuOWx^IAt=o ziK%-mJOEYA%mA*pj(;>}+)$zvBISW+Lg^Rz0p+!LSY#&Z}G_dPW zJlXqnU``C@|GwPMsKM;#-pZ-p`M+qds$ z&nJc36Wy3Bu#q6*IFvC`MbMZ94xiY>Z|HTREZ^KJOp`j`j?ohpfn0&8DvB=c=SD>b zkXr>?dBIB=0HQ;z&5Y`XgE0(93oR3P=JWvl`)-s#4bK!R0ieDCR0^E{Pvtab*${aU z@oeH0E_YtPnF(P&7Ju7UkG91Q-6+Clh%djN)bu<*oNKURL3fSOK2#kvXV0D`h6Gm! zpl&|knuqrkz)v~l`46~O?(M`a37XFytuFsiU`T{b{^HM@2ghJ0z@UjY+y6pJ+#4C_ z=!wY*=pFtqAP1OUd&}^RTer$FFj41`dKSTT;rhJs!*LRO9;eOo1^eEyv4^ll;A-3i0V&@g+qyG|g*|OqzlS@=H!trH0AY9R zJ~jKbCKrB&3!l}H*kow${_GhSa_~hhPZ;MrFhOoVK&(Gu(fNX;;)T9xn`Uf&<5$zm zz`u(TOOor>wFT30(FMM;ewnaw>CNF=zgUs#5C9ciYS!wFNUlxmOVtKUy!8){!hg;(`3tjZ$R(&HQihdcoSc z(EX?@P>C31QFa|lAnD?~suvAh($mw0Xh^(Lc&sxl6y!}i+`Ze8wJRA@mxz8V<`tFf z-!!;KxP^r1-C9k*f_@>#8WeaKV(^*URy#(6Owv(1SMhZ-h%xdmNE*S7KM^ctj$E0K z_+DxClI*&$I4M{iaXYFj(4yWTloxJ*>li?Wl@}ZMm7mRo?Ku!W-HtYGL^M2j|6*Rg zx=K;B6i7dBu`*CdNId{liXq&@MReCL3P8pq_|qLLe=-9w;{1I-iks!dPb+hxr;4v= zG>+UPMXVSsQKZWv1P?~2d7!>FLpOHr?ImAjrJYT(WNd;~iq4+s!_FM|mGEfuQVPls z!b09(G6eS06t(a2@wU@GPu7lIF^Hz2q+T;z*oPD+B4~IY!NhGfK@84#UnKQgXNczY z47Fj17|AOF-W<7Q`y&$&?Lq>#kmQkNxd~5Cz3wmNb^R%AECIEJKMaBa-etIT}*dZ^5~vr^|NdCWs34{E~YLu7-*=e*+9|Ch+s4l zW^xOddf#NVaN1^M`=edYN*I0=2ifxHzmwmRs?l@*ebYL7Wvh#|N3FS1FcP)y)*THc zMlZZM6#nbMroB(CtBkHhRnnX;p)N8w{3#iu-{EdJ3O8B&n~ZfiE6E1gDawv*ER8~^ z<5ihr6EZSH5k!JKgoo&B>u!I#)<=cH7xuBoaYbF2MR6#Yb>`ydv>CakzNFpt@!QDU zZW$rlfF>$dO3){fN3=N`CXFBF-#8?gTR8T;MpLlJI1o4eiRGuV>oDPfghBHw{;L^G zSlI1w`-XpbU4ZhXp-6ooGJfyQ2vY;fK%*dQXXG+!4sA?yR+rH=kJ+6;vS$zmq@kjM zi$A>Irz?u5Qoz6Am;T8zjLIAhgn#pLHDV>U=hY7`joR`z}O& z8-oAY=8wqb#S>R6q8)rgqd(**!CHrHq4{nHB54MuLU-izWPHJH_En8tEze<#QF<$e zut+jiN%qj8LxVvC+5gh@95G%upMx%r`ip^!+y#aR-vQdsQ|W~8++?$IKZe#<&~;kn z`#2{8&C!8M&il(3`lhBPhDv#-`ONPtr=k9>+GAl1srwy-eg_q5K58 zoCS-m%f5qK$)L5UvrzizJYuhYB9dw~fh{m>8BntLR)j`Jc3s7c;EkU!7)FPmdhHLW zqT^l{y^8r;2@A1Ek%=@8{ZVa_k-@g-j7o@mxDRik#gV#0wi(~c>;(h_T6gqMOl0)G zNyWk`^WQuC?cEj4?hK+(x#Df-b}PT5Kcpc!;D%q^;CS60_yx2PCAafYMmdu+pt|$2 z`&dRFUAGkaaUVxtt3A|v(lIM<{@%WIi_gDY3CDJyv;MX_IPoKU%pV_@dp~{;&5Z6{ zv~$t}nwXILZsVgPJ4O+b6dkoBalu3Rd~VIHQ^`yxrX?XzumGSeiEe~IYIhE^yYXac zeQPvj=w{Abyl0X>#?$uEM6cC=we!Qy>_6GV6IXA(JQ|a7`q%OC9m8GnQYlQHVQ&sb z&F=r$IQ%i-r_#V5owh39^T+|aQ53_{_WmvIkegt0PPw!LOMQ$mCzKICetwqvWKv&Y zbZ=ZLZ#fU5;eLiKwo`V6C&jvdZK4pT}KEP!3HZAZ)9C1@Y~gDThX>JoRaJt&n&1&96R=jL0cXx9ekp8TNd-+?$ooQY^#}Re@w33zWt;l z4p&RpNolz5ySuwTxULpvHLs!qHVTLMDRM%M!Ghg4U*$xkU)L^a=`Hv(IE?WR84~oV zviqpokjeh14oizmOQ~7@VGh%Sz6t#80RQ=ZxuKdpnKG&)X0g z(g-MLuR+%5tGR20-(SLvIv2!p5j0DP#efObnRdX|)9*&H=MG@CJaVMc+q79)p&p|L zNdZPCf;7H!3%hay#-8Z+CoGw?)6dHS!J$DcDYL*}jT=e_Qh=gpBN7169fvx!a^>J1l#(_DmR>4jI$_vU=sm>>J0){_Mw2fM0 z57E-mot~4T1bb5VeyDo$b}xU3nv}Pk!{m|0*k5yZNj(K}<4bLza~!S&oHV50RNK*! ztB9FaEB_{32cX4Dkv6rKdAuQ5Q7!Dny2mL+m6bHHv9YMg1@&ID8#&MELjCfr=Z?L7 zDOND=VrKO77N>QuXSz}T+GkmqZSM58+=(x{`uW90Gn9V>OhbkE5RB{V3wc|Rn03%) zXwzw{+`Zu5 z0^K@6HxbscFYU*Se(?(n3!mlKWkBYKgJ9-$T)Au@M_6VO#anp+;6~^w=&tz!D1Wg1 z<(ph_VMz~&*Gb_V3iEpBgO@WoyQ6h-OTh)<|DowRz_IMx_k%=AA)}&1lu=P+rIaWM zAuGF-%!CGImF$q69g&?aWD8L;vddmcva+)N=l%YV?>oNZ>;39|z0Y&szj0mXx=J5; zA9#lqq9`K+XlksJC~5tDFTQEaIpegZrCwf8lD3%Mudn-+499 zwf5k+`LLd)m3{LsDD7snLCg8T9S!6kp_5;WL5GH60oNQHN=AB}KoJCr+<+|_LQBX+ z?Dw(9FTTY|4m7+4;-2MvGK#Iqc|6W*vzH{`_*RD@c{JQHO?sn(6sj8|HQ<8yF<6&04t4&H4x5XIK zcE^sL@ShQL4!{DnzAzd@?uTl~)wZY>8i{B>|MPD{Qrd!znJI?YPN4iy*9MCe4`yEl z8yHek&`iNmQ3^l=-tHALMy_OVs)KlA2s+enM<1a^RkJs3yyWMOukjLENems3K(w{- z6VpbwA>Bamj=y#Zoc7$8g<|x-hlTVi3+)qG_Yk9mSVCu$ZVNZa#^?Vre3pVvQ2mJy z^M15OZ%{YOTRK3l4DH#z_agtlHW!rptn4PEAPb|^r%UNRR5GWe9x1}?7?wj6I~++LB>F}s8J zmB4?385}fZ;%42)+hhaNzIvf$b3_Wf$f@%H$cPlUEiQd6>P;tlt&8_`F;LAAMp!GZ_KzQf97k-t8Pk=wS6!)HPfw( zl-ypL#Wi!!=B=~lj<@r^J+t@wc=TdO&45uu#~-T?;i%GOEx>@sHrzzeCmeEn{(L5< z1cLOU)}4*Jh^;aH8GQyE~v=;vLX{2qVlH`_mc~ zp)+#HRny|gu?!nx6^=A@uRgNbLbP#~C0JrM)O|6-wrSUP3n+Ej#*M+a8D#wv?A2~Arq+#Q>NF z*)1;6wSA_vf%``{i$hf!P|UOb&VBwwncW#8rQSe$1XB%7hvhKZI#8j#hHn4<#$kxG z8;nm2f~`3lDj(`_gZcOLv_Ru^s5aw+KA9Un+imUlO5#Ck?} zWp26OdGn0a;@`g`RpJ@GO*o4u)-aDEB9iJTN|0iZLkL$;K_9{{ifnPsnuUdh(Iums zH*J1P#oNDMrd4)YLJPNiM#a7gvU3<^k{wp&ihjMvJ3Pcm3??z1zsz{g%va!qL85YK z%PUXN1WAlZAc>H1n(Cdj=GPUWY0+reuvla}zSF<@xf&56=)jWg?_g(qkR7xtY@K7O?3VaJ83-({K)k$u4DnBX?%pE zQ0=Y4Uh;F(8tDy`xx~)Bf}Pv2Zy_budGFlGVv~-zAf>AhBuhiRyWb|>WvHA;QSB22$tRv0ZeU3>oJ2^oRB=6?Jgz~uVK~x%Jb^^XQz1qEC78vf zK}7*C^bu)@2h*@zfNP+7+PVzk1Ce;=L~I*As;%*^rxG7MrU&}7))iWPG@y#(h!A5- zdOLlt3G#F8Gnmd;PzbQKdro+Lt(QrX*WNj?N9Ks=%|5?Z>!G~YF4~ANv#}iwXY`q_ zSFo#*5CAafH_a>Il>!s0-))Bda)K}2$E{lu`k2vO)~=?taX}g$ozrzD*Dyj*P4<#K@;K4?l|kmO`ZFBkR}3?y%~GE?dLLmZWe0Ei}gK;dPQ(F9iuCL0LBcxRU#nAH&_!qQt8-6QB}w1-3lvqy9D z0u-NV6z!L@7g~eRZ;zlM2?{ta`v|I$hlX~4f6|MF{6?{bK>3-UEr(DGlW-GVM5Zx{ z=N2gL2z6J)Xgw{F@Rf3M&&P+vh)IN~zf8)rjo=S4F1g(hoPC*$(}|rlS-4v|#N z8Qd$64b0gW)3H^?EerObzS*$N(*k< zgn9HdF{dSr=*kb_oCIe{GF&g@D~RHu`?<-xk0AQ&4J?iT(y0&UFcxMzfP|2kcNQ-_fSNVb6pG%(@-h%3nK>SmUUSz2Dhp78FgroSaC~@MsGf$e@8Ed8}2%)#HRYY z_Ve?-C+xNWl&C-P))UG6eND{$|7b1OU8jh*g;+TIK6?Iha309!g*D0|-Xw}P> zhqjY6j+ld84;!O7hIUNR=2HhMKi$#mE~<5n=Ks?IZ0-kaM(|yBFotkPRFba=sZ>bC4GfGre8yWw*umD1kjQ;Wgaa0Q2nX@h-&gi_XTk~|rvCwVf!u)>TUX*At*^h# zkc?;|BJgT-91;~0{UA=7nq-wX39(VgtEuYl7Oz|S0h5;0anwf`ZtxUpk@;fcy1+_& zhE@+c23se2m1Ydi77HQeg7hn~MAu4u>RyBg7X8ib1O?)h-Z_~VdoTMPgiiy9427KMf z!l5}$k@iXh}evabGkeV-BM z8DHhz$s|%U&Rx0y;c*@g8jp{Q#GGyX^yMPpB%n&kT$)VL@`e7()(V9$4hqQ%M1aaJBNF&BRg;^Dip1%t z-xThkH&}Wzb8|x_Uoq7surLB!y3!vN=Tn4m$dy$4J+mI2yf3l5vT{D@TV+iRC9uSh zemX7VCz?KTeONc7A6sqZ8Xu ziAuq;M!YT&|b1MN#LA!bp2vqskE!R0Q{-%PZBR)%+QG%=^b_4t>F?kA+e`3hI zcfkQZvkK`)3ZG?*X%BcULC8Db(RZa^7rOj1BT+pJ7OeF)?|rEl9C%(?`6Z*2h=_(w zUn}n8%WuGpm=Rj0ww**sD)7HkZWo9r1a6f(gDYd{meeA*eDFCm1ovQqpD3%jNx03j z;ol{!)a4h@I2X|=Ua3Bxl6aJ+5QfqjI1=PX?}Ap^wBNOD+n_YfZG#pYa`f{%aD^2X z7S2ds7k?nJUsq4>hDc=MoM+ELX!Mk+l;D_ks)3Kc5L_oA-~ z6js09uTnrk@$KxEbTGSQO;O^mL@0H8C)og6vL6Ar09X*ZFI;U1Mx+Lj30pcvp~wU} z%@qRp=g}__J8;&4x*}Dbk46gJDM8J@LHF|ImCJeKF^4r z09chnzoN}g3GYA+$xW+A`eDlUp-DIlKxfeyE34?xG6(C=FEMv_|`q`{$q-oING{6;J%5^RlqXrNm=K>`~nutVxMXjHz zkMxZEI1-p&f&H#N+fBq{S3@IR7|LdQ4@*gW$39_dmj@ek zf7eK;Rj8lulS_Pld>;koSiHigHmt1(u} zpoh!I(0m)Wh4>dHx1O8*6Sz=}9jtXBc#1YKz&LbchbQ}DLhQRC%910IVSN_Y} zS>Wd0^wMq0(^Wq+jLn&EaAf2o<-l>l0fo8UC60q!XLqGgXi`P>nckSJ{_yJYDdxvN z4Og7A3y>h9XYTRCETp)oXb`Wi3%~#1OV^@@mUbrfo^(Cgo3kV3%?An!ty%FT$K}DufcNXjOq35{T z{g;$3Q0AECo&_stFWGX#_tU&qvNA^xN*E?kcK8pnbA3G1cOLxc0N9@EfIw~0=O~dA zF=EU+wz@V1Tyv_z<-hVI`?2cWow36vv*)|Fqqq$I=RUWAExLSSc=pSeFA3-Z782Xf z-=!FiYqR-8U?=*q@wP7jwb9X=N_5?H2$Kh399p-6AO>|)FGIElsHTW9zDSF+e%E(7 z>6;4Hv?(6qec*N=XO9=5sCw7`1J0Be@S z5BbZNo0I@1> zdw7Oj(F3KV`z{R!=Z=ma#>E|wmd1|}H?5e%G6A4ZMh39Q8{MRuLYa`M&}$$XwWo&V zW)>FO(|2>m!&4&f*wP{l`PHv`eW>2YhI61kADNnpPAmCX_Nj~l2L=ZxzrZYXT^4=| zsGq+(Ji7Gyeok$c<#!SCb2S6f+waq=OBUrmpjVT-qxXmy-wP?!Z=0D#cx=Xnq*+qs zt%~09wm%Qq^$^Mj@z6+d>H~4kZfg(jZgELvTzow>sK}+%8&%bPaVpu_<-z_pu6|o5 z(*mW^C%|R%7(7V(i2FPRXk~=uCh7uJUELp78U;kr#SB{#(&h4WHW?X|<*(5w%wp*NvdFGkz!50st;n;D{&Z#x}MRN}h9M8wZb=4^^#Z+Le(uS$XJY zdM@6b979{!8ZWc0#mgH?11z?{u&^*Lhwm6NLr;IkeojW)0psrGhvB8XJn;vPgsW0I zB$Jte%D{UfASqDzg{BEZhISrT@2A{zdEgr&lmsp8lisrcfPk3284Vl19*bK_ypfQG z@$C5AZ4apCtr|&THpSKK%K#7dt~Ci02*Ch0N_bSpVF|ii}|8Ac^?p&lvW0gjkSvxFU}c(L`R>H zKtT0i&1@Eq!+suzH$D2{EZ}n`{2AAyM@wwOCkHH7z zK^wx)j<9**w`{zdsC9p$YudT34GdwfB-8gB_LcE7Z*_&l;H?&u78;rq=I^R&sV2 zcrpQ0B8#usZkBW9-@mbcy=X>>NhAQ)_M0AO5Z(MZ^SfK<@!E3s*xSH8udWr8RE4^P zc`m=zrS`rS{LYK(WyY>a_lWoJA6y{l91*tdLP7}Y| zM7dE=!8RPyTJ%lR{cT=z^Gm)-$&7Wiq&IzupT9LNM07L#jxlWuHC9VGf1Bod`4zVT z8LP>(7WoU;er04TxEMV%zH|b$D0#ZA7GOW(Q|39W*hCqToLiUM3pa9S9?{RB z%Z&850@h`DlI57Tu))q`eRr3zPsMu+QA($(ym4=|zK)j}$=Yu(`_yHroB|{u!Eyn0 z5WKasR^bNd-Yg`xX}Y7^*fbsemlS`lg6QYZ%^m*g#P}*S`HeOw zHo$8Lr&__KE$8EZh`9OXqMy9$P$jH+91)Ou1O3kt&hBr;XRJyKq%lc}pxlu6X?^*7 zM@w_I(WOR-UZ9rmzF}bY8`L{jI%THPFstf0yO8ftSV~6Pj`$e~M9^yPy8teEut~(c zvANmEf8baU)kSJYv>3mY+!=WcEsL;9V`zml>p;7s*^O zlEMV5#}s6iM~h-iw|h&s0bW)?W)d#m(Z|1qt@@&Xu$cluSow1Y+w9AN5K>6q z0MEYC`Ef%W-R_5`Cw6wpzvS9v&^U6^(<4}{Hf}C!gPRldT&Fqspu*5po3hWBD~9Cg z&cvIWx|jW~*b;Zt(-Qi?qxm(U_i*9N?>e??_Y6Zo9(`!1GIDlw&CAX@EWh;h1Y>+x zR3F$4uef+PEF`uH*V-PkRO4Z)ulx35SXdlB%Xsmc_6^XvC01U{r_mG!2Ly18#>N&g zkye(MT*c5hkb@8)*<@t^wK`_I9$k@u*d&E`SApDPO17Mue` zuW=Z<67#=otgSgn!gu}%nsxT^jj+GoK33KH{(gs~uAXjUQ57>(k470+^~AMJP2~A$ z6-|rcwzapc1S?GHJs|ItfG^(%T z`^9aZE5%4&25*%JE}G6TdUYDZnUnq+gt}Wh}o0-7U+)Z^d|86q&@h=quln6KkPsHC@@0sU|lM#F+&C3Kvfd4_Qy&ekvx^6Q$` z6`rq7(s#bRired7Y6TiVR#p~)kBw^DK{xeIkY$Ey9NmtC|FBQZ&0KvTx0%&g48?Fx z8pod4vqKodTKJ=Pmm>Hh!gxgfsXYJ|Zp#HY(B_R22TmV7`sL3PD1CmxL(u4y@tYro z$*E)F(Q z^;OSt+_De4$f51<0Fi{3cCq-~TD>GDeW~el=A>=YMNj0Uo20bAQ3M_xX8-EE+F+xw z(#TL_F>@-MioTTSZy_0FCz5Ld-#*jOq0pdRLH$6?gMvml#lXBKQ!AU(@o&qezi1B~ z9NE#m@Sr5biaVxPEZk(gf=~4F=w&3@HB4qh_pKVuE^*%z3#4`!U4YH``w;V$Zv2~U z)ivV>YVYFd3GMUo1@4SOptBDr%W>Kexk5IBsvsaN$IPv4+fjWkPWNYacWSY*u&^|I z`7$z}`2M|UzD0NI+lhxt#2ha|?lqweU?BK?X%SNvO@4kE{Y@SqkXNs^y}bhfM+N`d zB(0mHS^2Yt0J~CNP;A}t@(&*Rz3nmRAX-4=T|l=QAUs`T&DrW{(o%`jv(fhjPU3GU zRIU)YxyIu8>2LF%=N$D1(rVi3ll5BH-^8&Ki1W$^G~tmD*<3=L16c3WzUZhZ;nm1D zSw{xAb7(f?L-Ov*tGlusYn4?s(4!-JO@HWg0L)Aer^6L%e9D(MpgRqOp}FpJ>bD7# z+ByoJ?`uMqeK+$*Qfb+>-EG2wTAx=IUwQ}*9(Upioxt7PK?RMdymj4x|+?ehxCVqG1g zj$QdG^d44W5nN{8IK39aw%K*R?S%F8)TF1QsD)+f_;V@giq$)~+*X$^K7L$W&AKeL zHdEctS02VYu%0_PSWfSJnk>`AX5!DE4XWUG*!C_AIL9B_4KY=t6hug~{IyBtHbDma z+mmf6)x$ngJh(gBbboqFb^i8HZ*xBs$jb|BY%Opl*Vg)=;;))# zT2YrJOMpAs^PO%HXGk1Ci`1q3M5gc1v8z9hKd6+Z5BZ1M1f)qOW(r6Txhyq*(@^?Y z_LMAHGwg2=hRhI6QsWXGWe>RR@0}XGy!{^QlDw-l^h8HyUjopzG0)Sp)^C3rpApnC z6L8k0#&W7um|x|;++CaQ6udx;o(F_Hx;+U?1U zEjAN|{9!1%dP?kbduIja^sT-ZC??XL#u?IO)*EWF~iY+YraC4jls2Zt-51`;dR0LC6kuFsj~mA347`O1}R zHT0rYA1h*vstz75ytS_F6G(V^BNj5%&#LSec|VAwEMi@uJ5%PJZHHzE+u{q?5KL(4 zF)l;&h}tMeRfp&^>)k$dyfPoBYxpxus)kK`p`6vG3y{3SyPCO2hD>1i$?ZX)i+R`m zao|U2cUf%gp1;$7h4dGhn)3aVkP7qaS#Rui4W#jsJ2s&1cZEBwRBN-K1yAk+PfdygC1XPs%p#Cye47$aIb&ZtGw`}YqS~%^l<#t$DUI%G`jsZ?ttTM z6M5hJ9S@JE3biu6@5w8Zv(?s25O1{3yh@>$ro4T;m2q(7l5g}CRZSzxfBrg(+UkYd zG6Y(qG#KwHJcvr49^S?hVdVKb#QiN}dhWY%Xid_uAAxc6KCF=*4LZ00S|{%3LE-U1 zvPOYU5=1~T1{_x}oWGS{oU5*Mo6uNRPrOY`6py-#?=~j!kr@Gy%eF71-(sDMtVB5@ zUW@!3EYn|4Oo3ZWX*jICGvD%iC_4+a-S(N2L{`+?BCksPmi=P)T)uJjmOIBHrRmc& zt8cA?`Q!30Yp-11V~o`b-?z`lJEfTXKE$sD9eg~>bcU1VHHmWB2!hXhP@_6IjW#e% zl>NM}m)Tj}-5u_M-h{~b3A|&rbu52h)?>Npjto}P0HgtuXXl4lG35gF^lP-Ss{3S! zal53f$7V686-ftSCnMyTvv_r1{Nb?Rv3JyX%&~!tl;soi)H_MUE}9TxwiHWb>t8^9k|vVSJVaNwttn*ZNlQ_n9k ze-nXrgrLf49jAQ6^k>3;HL->Qo1|ZosZlBjrdRWU;@^Ae>H=VIQXl$xdrNyUa3`3{ zJcq6Ns@a{bu=U`xC_DhcG)YQ#OazY7dIke*`!D=v|LsUtl<7IOorFKE#-DR%PLmSm zA)O%oDkCSM&K#*DM4Nwa?joTB)YSW)b%O$C^DO{I2-p&Z6h@h(>sd{3qNo#y_E|XO z7ma>54z3<>k_U+NR^VS<`>(i2#y}XcjRc(>8Dg=3SP3GRj#Pm*BMVpEfhB{@e=M0s z8MCqB;gCXnY=Wr#1@1J~3ZGelMcaj``s$X%9838F~we<6r0Jx?6eSOtyOaTXv<)%ji^4N+AA9%2& ztVMIu&+qRuf9>tK+wf156GIDt|5Cj?Z8ft4XW`D8Rg6Agu|~0l+KbR-^D3E`B)4hS zh|7DymUVd?{5Y_x186mlJ4S}!Q>B^@6`qQ0TS6x{5Ct!Abaw5yx&MswhOQ7OKO^XY zh`d9Fmrt+Bkx0w`%3f`EaPS@qx=J;)#M(b_{ntZDr<`ruyrc{lM0e9^Pt~xE4-Rg9 z)3R;brwV(nc!ltj&|u2?*(OnoNEKCWdopogXR{+?``#1n89Vt{y@wKb$$W$ahKBzN zd44T<*4zEa`r}`^)!b>L3mvpyzKZ!@-#ealhJWXEK_lHbGtc|SpC;M)xrJ)IGJMLP zZbVReB9k>Ovl|c$G4iTzf$ZerFk+c#NQ6>jV)Yj_#_(B&UfcW8I(j$4>#8RJZ2TB} zu*-1WDSMpgGDznzHgx5Yju+g4Z}3ft=G<=@{`d^ONUfwI-aBM8FL$F0UD?b6!UtW2 z2Mo1Xlpy^HbptdTgbR=~seN8|a$RpO_tfIXFPrsmFRjR?aSy0t&fv@{BKq529CF8P z@}u+#3tGlYkasT=vtGVf&C)2lkdKg5TvRaSYGOPe1!C(}Q1a)2i0o>hBpeyb*0E;@8=c`rRR5*LFg*!SMh25z3?AlT{8Ce)w=jDh~QJQaZVw z^-kkD)Y&tOi({ju(1;OYpW`k@hL#O|k8ta+#b|}$O;v&a85ke;AVdZD?t4z&^2|%d z@=s-Fj8>}q+%WL#7m*%I>X4nsq0oZJ%r78A7XBRV1rs+2(N6H$A4h#r>kwK4;Mi+1 zJP8dA4MSB-8v0zT>mw-d8QQur^57Isv!C z<YZp!X3Lxxh<4OHVzG#d8+HcQDiWN*=8(N1qdqcT^9 zyYv~N8acSQw!r#3FpJiz(H|*SRsHM4Tq}Uq3I85Lv6@&iG(4O*9((4AJK#O?ESlfA z!T4+Lm_D($AH*j=4?#26D>D5&SNL+#CgBXHtSBz}ftae4-}1LGjqJ=ByOKFW?#4o9QFqatX!Q29azId78RDsz%tv&!JwL!P_QjkToJuOQpc#I?mkc{(km1 zm;7sy$Mz|f6@$%z9dagygoM~dK$8U7dYn!0Z+6p5#J2GEa9&daE6cu z#M~?vp6&S@u}ye9Y4K{u#}V8{%oUen5zX(4VqjrON~PeoVYo$l*%5RzW(T2WcJOPw zj^4Hg(Ml_;M7{yEcf{N}^(M>>LSL)C^wD0QZJtOIFaI+!!D}fGmA83l2A(ZeKv$vl zn_mYetpI_AJ@+CQq)(rkUs$DO=9KK&$$s_)vYBS>Q0fyzG2%{yV{iZL%6{|rD`?5o z#y##(SRH@S)-%vX{$0(8&iTNRt1-k}4`apvNK|mmet z9o}OKl6=^4S~y%y6@{TI;HAyBg3o4V7^wG^Nq4|?^6RHgo>c8Qcv(R~ZJSRB>jCjb zSyWPElPug_?(WpHI;oVU`c^_>=+SpU5I2~XStiY)IazyCRW;RE7lVH79y50^GDGIT z!T(vJZgJupm3c=xxNGHiTee$dtWfXOvRc{y_@`ij@~J4%BRB8=x`CtB!?k->E$2v^h2U?>k31UxmPTq1-)erxbb5;kYFv`mX-siAIFPebnp= znw0wV$KX~$s{Ea}#-|ehym1_Scs(vi{9>@f^u(CBYJ(c#%?dFX+;xYW7jas|hA__6D{z zC>hnm|K!+sPi5Rst+A8tUjOmfQ9$$EkJ#3WH;ECcQXNBkHu$A6V@s;cdf2_!{^a|o z;_D1ppS})B{Gqe1yUyB~juL(dBrYRixb?wBs)G@Q9`5cvi6(ZC(+fKz|5kld-R3<+ z_FZwa6Tg1(Ir5j5l-QMJmdtsN32EEE(|Pa54tJ^-;f?nA#VaA9J+E_oETq2x&Z`dL z_Dz0Zv->^e-pXak4jKvIE-U+L__Zk5QD)`E+;>sr0#B641#kj(VOK#2+e$vbJ0-K& zA7Vj_t6p;DGBWq^ejGYSQ3MIEDx)twC62T4Zu;JS%qgu*qrBL-(6`(vzVPhLjim$p z?Me`e&+Cpsx)n`Qri~6^P7biWOw(LGko9g%E$U)XnRJUAYs){*M)ez(0mj0O8OQTa zZB^!o&Y#{Bm-MyP=9Y^eO{JH^jrFYrDqIw`QnvaSL`Pwi?ge9bE!R(h%uA(ehE5QkVkl#wwlbYFw5+@Z* zVmu%ew^XDSaYtNliWJ?2-y{mT&igH`KMi~C;e3%Kn*1K?c#S=;JI>9_&Q?MTany8P zzxe((99(eb$wKbhsozZg`AUL&5t34*cGA-3uUIJInh)&I#MN&jJeuzT=WfbfShpMV zX~9SZkKdQYl-MEk4!W*H>SfW%4-_O21|iHcs2MtG@`)UZcZ1P7CgIT=^anYWatD(O zF#BiYg75_`gLTM-XJJ$u{nZULH0_H|qjB!7yUA^RO^_z{K4Qe>4QrXkyN2bHS)etX z9DaA5s2@7`9#tHrCpE0}t+k(z!3n&h!b}9y<8<03Q*L(;P{WJ59iO3nA?!wKt#BNK zo45AGuwdX+1Sa0MZXpSOru`J5IV35-dFm7sQp-G$-;pqQ7dF@RFvi1qD4FXZLK+wy zy`5Wv765MK5MjyiiTCxl0JgIT$6g!j#wB)nQWC^hxwF!zMz(Tf#?b}nS>ERcC}xd; z$#=gV8=8JwGfpk*%77crA)3SNrH`Y`wnXs{s?}25+?2S7pC&jS*Jgud1|yHV22XlB z=7N%FJrnTIYY==@)KC>FCG9l&fQ0Up&Pk%!Xmo&PURd!nBm_V2bsKDbb-Vh#`O?se z?e~2{+ROjU)3~7t6}3sQ$#w$(Nk+QKOaHZbSZ+RJE()rC5-R!dW zdm@~2E_crJ?xye24(Gun;)rzkLiT!{Khr93-j%5JVnNu-g#_ljObLLb=N~A z^yTw1Sbb_s`O=7+C-hNA4a(R+CRU&bnAgc8lodM-QOm4pjp*ai?157DQ&Y&=Z3q_; zEkJAoLLE-Y5dRWvTs1L+Wc-^>>EnFG+|?fyy}f$3rFUtWQpy}C2N7_O%uAKTw0k!N zIw~C6^=uj=W)L6>OYNkg3ACfGiS5U#KZt+~Y&^ivl~6bqik~%Hw_XECvuqF3x?Wis zDxFz&q0uNBE$4xcOZ18t!@UYrJ+)xf0$xsZ22eg#!HYFzGZg}r`$>vYcuxNgi-JQU zCY78%&5ECnNle(*$y_AJuz#$Dv_}Vi%Y)=G8Hv(pc7Z-OCthKJbV4I2Gk6fdC^2vj zD|Z$SGn3jIRifNr+-j%2EE)Ij_r>Ay8jgz8JNPG&+TjV3-{z|d=Q9Md;KpD6aMA&! zNyLNdE#4@-Ad#zqU{X0zo~iHn7qzfTM7f|vsKO5?41XZP*fuscP&lgQ3+VjyJiLU< zFv#w9jRY~|YrJM_g{bKq&Edb_Chn&etG3=Bx%Fp~+UBG=EJK3Rhww^eQM8LEUO<+c z3j99EG&iC73}(E~ZkSfL+-W}?)-4L<&YK%{%QGDKeLU}vlexGBQwxz4jYygSX`75P zz|865S9^vGZ`n>G-`9sw<3kxYG{-o8gZ{;b9WQww5J?_*i$L!&E|BTLuQrwZZ{UWr zu~m}k;@;9`e}yauEhQHBzhRlCs;O|fYD3sAk-f5&W@ zL5xw2>e!OC7zgk;c@8z;;CxizrT+j9DdWgboFNTZ*_LH@l;G?!D-$se!RAx<^BwdE5~-}n*m4LGZd5Y^BzF)h6Rp1hI^ z9gQ9u0mR^KBZ_ShV*XG-z5)C9O6bl`bVca%f`2u89P`l# zQ6>O^pV)~|_>;$OSGKo@I5;|{pmY*O*jZ234c7*pqBBTfk2F3D^-RDQy6{WZI?548 z`6z^hAd6B9zXU~@tx!J7*15$+jWe6L1x?4yKii54QFMQJlxb{_Hs5|+|{Jx6iwpL~`mbnARmPSal{V$DY)UkG_`^Sih7N$1_o$3Q34hozs-tpc@G8-9=89(vXM@{M)ZPq-5Zj zYp*gc$+Th6Ouqq?X^jsJ5d3N!4WIM3F(GjdQAXO$jiqw?AFYoco&5DT0qkA-uO-_A zV=;DC*^Lbi`IKK@^(CWcW@dDssIb%(?v&U!_0Rh-(}la$tyQ!sc^fr9W-(oKv`9Y$ zIakCy5k+s>3VEN8|CToSUe!N@>^dpUa5(?*!mp^4roe>l<)x$;X^SeMH!;PVh^nFPve*IuM%?yYXvnkF4vVK@wA#?PZ%MbzA9wH z-j(7#iP$1SXJo50HY%TSWGo9ro1F2?R8RhYKn^ZyledTBkunfys)b-7t~xoF_VfhE8$}?qqXX=l{b}2NW%Qd$Q;Zc!pEi~Slnb*^GGuxzK3cC@S z4~onDyRyu773hFY_r-hn4>wHWU zQh!$uEebIKp>GsI*oYE}#}GWKR33_8znhuyX-KqEJ@+;^778Na$&-gXe4UF2$!5XNPJA z@%A7W9RgV5prl>ybcTQtVYCe~Et>+0%kzdhJ$eZU@ag(6uB(u;Me#doJAy;Ij?x*J1peUm#xcQEfc z^%l=_JgteBrxiWP*^}=x(I1kHi072^AU!*HOqh&5fwF4XbLHLgoYZk1)DsUT*EYJW zjxT-v`ui?V?6GnC#mn6yw&Q)LmtvMm#@7cZRH=p0z0W-{O^b(A5L545Rc4Tc+4RTy z%F~!@3IFo#j?MO%X9kR;VtbCn&>(ASN%ioh-`%@Gh;JpmCEdWjjcYdxAG!q*3g@^3 zHtWTyEBx{`^Uu@<%K@*Puw}M9l&HoBZ$Wsx1sF`@zSw|(N=Ax&(ajd47w*A&9xj-B zfpL*Ci}wG1AUc}g-e9W>{>Ga)my~Vg_t*(>syQY98S=8)e*BQxC*3GXd&+NbFU470 zFCfL}TgiNBh!tG;HvQ5-`Gv@@Ig`}mJ~BpIf5cV6Qb-IG9KvXemwHm(#KCa0|Aej% zMP>^5{*r3(;6dT#wkdTP7OsOnox|8=Ulte<{!w%H`!{925IbBkL@=-sG{JHT3dFck zOq^;)k{SjAZQtkX{==ZRw|A*JT7sT!jkU$8Xc=Sg%x!r7Jbd&=u5rLa(XVjun zYbkejMh!!S%QSbj8yOKEiYgzF6h8MM*K*+~JU>-L%p^KV0AUFnN&OV$m*NCdpHn=MkC|LYj~RW*dda%$AVxcT!&8Da25 zte^~tEdqYs0 z28tlO}1P}}55P9zT_l$Aph&W#$03xiNP*U6+taAIZi3Fk>K{xlY zuy`PAm98}%_tYzNo&;cuPx3k|iw+HNEodkVJl+Yyt~M!bqYv7VKt&?a!@^I!D`DH~ zZ;qI&$Tiu1sN^oxd?UpKq2T1?vEBA zpJg*}n5Be_`xVV=$T#1oI2~J4OlqUq!fsf~dl(s-P$qm?O=w+un#8Jay-!$?NBbx< zE>TvZjzl$&1EfCBM?Uf9-Q=n}UZO7nuvb7LwCC!T5P3J8Jj9K)qnqkek}%?g2sTl{ zfS#IjAF{a$t%tX+ME>DdMXTTz8~e9PIkiVjky$Pdozcwvd^JK)=-AntBrnCj--G=| z7$8;3ogBdoF)}g|x+uv_XbXrGyu;2=GLaMdfGf`>TnR@D43Z;OfOAP2SGK0qKR@gUDVWhW{l}#T&}av(f5GTD7Rbp8p^-%sabb+{>eZ_bIE-?p zDblxOmCnau4_iaUkI7!oU-V*W28~bTnM6o30w=3pBeEXHrXe6vh!EZesOrlm#4(3V z=MNre8WK@WQNw_bgHz|FoDoQa&d0<4jH5H*Ull4Nn>h3e&??l(xVzynF%f#Sji9HlTsc&!SYg)QjEzC+SPj(9a0icoiRg3l^VwK>tkWI% zszR)S*0j{c?8KbWktOs&*XA5B>PC@T|LM=yXQpb-pCN;3nq%bnnf@{;xQMRe!pz%* zgxAT*pWJ_Iq^KpMGDFt6Hx4K4tmtsoEr2ZoocJxGes{lFKoTs{fOhW_v7q+7NCB4o zWqn>y{;R^4uoEd_T&f{R-c(1VozeKT?{fE_hCd zX{oWJ{PP75Ddp#Y3;PEzRVqn@xn3c9*z>82+7|4bWX0$3Wjz+nDhyGBZ7CH#pptk}jyI(4Soy*-d~S zCtsJCweu~nt{NfY5YSFh^?h?PJc|br#OM;PX8|bqwgJ>YzWej#*_oMx=KCs&?>>C= zAHsKUbc-i0N%i#2<~QU zng=+5)b1KINd&SZ_>q`q@%KRkiqvd_ zKg}@r-tO|NZ(7b}cJ3akY;2?@;!hZ9C}BK2$9x^d(`|>ti3G6v7ucJN`rf0-_a+*1 zv~J6#nIr^n5w+^$dY+=SzL$x~4L~0~XZWxfX4-lG&=T{@<@H>Ic0MOLp*;{!n_D&% zo!OC;vx_*1;QXLYNmEUc3l2K_FuT7Q-6|1SIw#sRpHuUAOMaM^9#>hMF-C3_FkcXJ zhQ>c9LD|%(8hqxxoH{eCOslpube|5#j9YJRIKqF?`)AyL|7m7q_i%{$9h#C2!b{6L zI2H2pC8<=uX^SC%O$!M$^A;H?zh$<$fzj8hiLvd5xLs3200YuOe}U64w`~ z-a8@zF8OkiUDJV!n_JVzk-8&|S=6sq%G(@{pNdKJ48{ixFvkghac&d!I5QC(3*&Ho zVf^$i+z?qSM`zbPx7JzjXgREV;i)p?g(!|8P+pLKa)7F9l@dW+rolubIh91?Mh-_C z=e#YrSH&mfhP5j8K0`$rqrW{nKKk(O=ZguVeKuP%1>b!f&PTUF9AF%2 zlydYXF6y+rTZ{=WXzb=%-PkD`d8d6~p$`{Wbdy7ofnwrAO@YZAkCarb{X0-h|79IJ zF6nhIeY?(2j>4GA+1VM4qFhYU9?+KwSNRxeuD8nFJ;rg^BH<>yxz!q)$%1sK*y zYftc}qM{P2p-NH+m+pBB#|oEg5=v$SB~n14_%bGDCp;XNX)dSaO-x=HMuAoVw)^0d z-_kc&c|R>s-U(K1^1+6EgS&r9nSLYdKy1MK16LhG*qQA`YQ7GA7rP->J!|A8=Jb1_ z^qbqY*KrN(j``{;vZm2@e6#v4Z4pkywHGxblxb<5A>c zYdOh0^J!>-XQ=TW8I_e1#j!i(FU=Hh@6A&UsmosTz__`fUhCPT1NJdI3h>l#9O-;{ z5nVrW-k(9gQc+z^fn)Fzpld|(Q^Si7$OnmgTR@i7;M;g2gTxR@_`q;u0di=&j&w^6 z6?wV8WU8N++$VaM7^(b$X0n_dRl-Fl1Nhy8m=>+1yIttoGNyD%+bI!f0uM1 z)bZOP_ zNtlMSe84uWdRbLfhO@Bc{O-y3Su>Cmdc$#-f7bn&urMQ%HBb;^D7bN(J$4cPS|PP` z4|2&A=zI_Nna;`Uez^-d5MtKOcK`5XdWGid)^0vsA*?=Cnd$524Zh=H1}WY`%S;=` zou`8t4*<+O@ojq&B5OZ>q#HFtJ$3?wYy2Nf#H~dKKorIw!ntr>6RLO_|JQ$Z8yF0j zW;2~Y!N=uFrkW7J_Pn#N$d(HHoeb)r7GRY`vL!sFISKJ>knsw_i-VG9i|yE#N{k(n zi){7bux>uTqgVi#5?x>#;EV)8mgu=FMo{pHr1UOU%$GDSC!P1_2B)4&cK_`!q9i5e zmq2MP?vNoyxj#$eu)st<9noL2au1{XUDn?i?iNknZ`TWe?+7FM{fd;9zhjx+5>qZj{^INNR4kbNXz`Jppo^MT zo!t3#n_bhMnPqucQ$B_ znejR{e@s03t8n=o$NAk$8k*-zPS8Ttc`%ghrdXO8)4)4~R`4#D}oD+2FY%$j1eulN+dZ2+|j!3=Rp9S$GvB|&TkkNR8Bpg$yHg7BiFFaxY!a5o(z<1O3% zc&3)kH0g(bi=9#VZ)!j5tRgcG3-k>u-)+{G{1lDOArKgGoXbE%M;@i*w;Rl^k|qx* zb+LY)I4gC9X43qckpHuS3oOK<5(YwxQ9 z({3}0cEukzafOL+m7$;^%0v+#ZS+~V)y{mgHqFBK%?EK zARd_qmh>U`hbu>be{_FIh)3(bs5a5V2IhIx>8K_7laLj45AIdT4Pd0fdbZOU)~hD%$iQk;sbQ z!m26u-IP=$PgCPVZYT-WgHph5)b1FUX80)@9IiC-Nc#I@*P1}uh9=PeJMO|jIf1*0 zh_1cNMsvRT&Qn833Rm+CFK{INWIhBj63+Wt7-KypR^2|FTMd+ z7j)jvJ19T{jBTe-SX2${qjCcmDnLaOEa7zngp@r)Pj{V_EMMDlY56BDG=(1;9UXD@ z3x+G&?GG8CVR>G~$|j~Oc=qXD$zVqDRFa38{8hDU^6Wk?+Ye8kq8?74%-E^Rtvf1| z4Ke43EdovRT_yHHVkFDob?;n3==yv+Y0QqjaTQfDw)vC{p zLOsNc9XxGlM0Yf+T{;v-av!5rE{u=y5jcM9OeLHm7CF@N-l#HOV^zsrzD!nUO~3>(n-6-v!Ybk>p<6{2xu<0nT;bzHRR!85Joq zLS-g|>=2TWl-V%Ltjt2Tl#I+|kC2g(qL5h`Eh9oy6eY<>$$Nh8=l|Zv@!ZFAbXR`A z@AosV>s;5=3!{UJQCAXYH)@=>{9(VXf0R}tKoH>3slUr}M2rFgVC3>2M0)<7G)ETL z=kD9l_>(!9;Dl0uWbnJxe@4G_MP|yNCNtfW4#AnpNXGbmLhQ`pEF(7d7P|^`$9=Y% zPk?UV7`>URcjWxcmKg1{gD4v!n|1Dug>irwEXQ&M(oaTmU~ybzrhkcoov`AK^GdQ? z){&{+z@UjZ6Mc6(b~8aW!h?iSDnb30s8gh?;cykAnBx*kjj5H$Q$Hizik}TADwaR^ zi|iDH;ccVGu3;4+y&P7uWYG>fbLOcZNbl#b7t6kxK8{3V*I#Hl0mkl_u~bWx-t z1g5qLTE=+=LOr{?OWi;69TPu5-_L#0*U{M?auIP%wk=2Q_P|Z zDyd?ZD{S265Z$G`4|bq}u|cOkhqg80q%DtqZ<+N0pjg9a=RAPE=1X!|N=7frTnKYR z&}Ivcsm+H!lU?z#Q0B{F%ntatgo1toM^M~IRd?`&y!Oo%G@)a75#Wr`naTy^;v18w zJD`pmfXcy*r#)C^v@_XG3wF4`mk$2tX(u2b>72zTjurZO+cFU9jDgP&b&Ixwc_*{5 z+V=gyN+d#J8=?0kq#O$Iwhy1*_w=xW&Pp(FHPF+ulWT$xjVFaUq#gKN$2^)Ox%q!M zX!S0Chh#URU}p?KkQ@w8#-RZWof@X3XuwO4Cb!d9tlgtf+%81WHCyOE@aMx~n$y-( zh;lHUgdKC(nGAXRlhW*-zW>toBYs?1?!fzB&{^HAPaxP4^bLmI9#SWbhtcNxjZsAj-7HYON zHR;pb?5!HJyzKqx?i^}{4=4!>^M3_Pw4aUU-K)|#>$8?%LJiW6&#(bD7}PTbI);#jWh>s6 zJC|A#_xHFPq>u!FE3~KF#X`)b?+jYS@N;i*aC6gDR5?4LtTdZJ-JyhZ)fWhPBTI<0h!A53K!WMU-;{$i>caM{-|(=TF~OsBhM^Fev~k2d%k|M+|3R!`|E%{IXft`Ol&IQ4J92ZK z)O%JWBxU_iLslTR_Nw2i$RryAW5j3dP>Y1?`hXM_wV2SX}HnkW%B|j_l5YY z=A9RDNECFFDe7{qC7*ll+(2WbXqm86S~^a_Rn#A;qWVwRO!!dzuPt3!J2*1?<%@1G z&6XHCy}Y<1`J@rD?@q5c5wX5}!T(k>p!tquMa;}=e)`lMDHpu*ZWPcC5e7~$I=nMz z(g){%{1eB#UGERl*gd~l*^P4)v{3GQJ?R1zgq>X_Nc8DyHs0f@_KZ)R1$XkqAvzuI zzwy)orHCGiL771=H^4B>WZDaxxkc%%7k+>@Fhl6R!X3cr{7Op0XZ>H3y!xXI2I=3$ z3nVYVq<)-hu^f}0?It#E+7yAqd}pE_VMw+G{MxW_JE!=DM_ym-=6#^!ONLp?Q)S$y z1;@=+u5Z*OOA5B@hVPn+L&h`)T1ak@Ct&4QMFndm8QlFm&cm)*C(l@6Yav*oO-L*x z<9OgI9*2$)v)7n0VqT3(3xztcI4v;9Mi38Gog3mJ%*~9j-o5n{F|cH7Ygs^x#U8;G zd*_a8?GJvNb*FKUp%j7QCGz-wg%c$PEb*N*KxbH0mMQQl1>FP-oG#E&IeGz@NzF z@5&Tg46QQjS@;l}qESa-hS1KEVk& zhI?0TboTrA>-fs!P?fbb6VjILHgL%&e}6Kgpw_-?8y*rueq+dt9(rssZ)Tq70M8FjGnv0V+pOIHbm3zFX`#zZi%h&Bzv!SlT55I*r2GTFr9DWK zg+?CM{~0Sk7;WPER^b!Lp82`3poJq7OI*w9#Qn1dpz1NyIGX==9zYScpUf+hx8@K@6$mLriSFf zFSS6}H7{RQfkF)*9*^ME32F*V@W8_ZnGnbG3;>x_iy1y^%ADZH6tK4VIpjbvWK5>~ z`U96ByR7j}4$T-#6BEI~OH=CuqS#ngJ8)S=fWyiQ z8E{wr&2NL;IGO)tRCM%9IFCLLJH)+!s^f+2uVt=;SzH+Cv$=C9(iJa=`7X|ME?Y8N z-8aV6cAis*c7%BwKEcF7l%lK{0gMM|0|0`=So#E>Uz zY6~MnoZWHn#Az*Tg$j)c41_{crfjIV)C{q*UB@t#Z+dB^d6RqaD;2H@XE*5*}vl2jIf() z&mmhF*vRV`81N{AG*vTyT7CW7ooTeYS$fA4(Qz;_}l({$&DQWO4mJIy%Jjn2`RpH2v=g>cw^p^G31bMGJ2)uI`?Z8Vo!)-Ci}Zyeru z&b20;k1^_RIeWI_jAe3B!0%Fx{URV%-xrR5wP7Phc#Chv3Q zBW)iUQTu<1h{=D7$1X{5s&@7C)GEmNDu3u;I&_Ux0t;m9FS&T(MlwO_-G=mm=VN~g zt{!tMf3WkP#|>^;kUMcHC(O-B4#qgj{M_}eSQum;Yo#!D+Qn}U#L)-kKw5LD#Ka#0 z1(P34Lic)lM3!hWCP}+aI6M$|xkjaFX=yIyf3#|!BBQSLYAu>9Q6k1k1&P+4?tN*U;&`gCH zu`n?;gQV3-d=LEf19~O%8kfxwEYKl(&p3Gs4PD&s%dPIbxcUur7%WQVAO}M$NL8Mn za0jP~_dsgb*+Gs`P)xC-oJ_QHo(4KPs?ewXUVnXJCO`M($bTdLK#MXa+6a?PVRP@3R!y1Qx6>oJ14VELv7ShDZT^}_S(>6kvV{s z11F%zMZI{YXLa(~>>Gkn0{PpoW|kb?$w9_9eX)mScKx3ilRrf!pfnC`@&i{c z*TU3jM!C4KkhrT{yJrHGy~y1^ke0D|941k!KQI}}V=F+lQxj#P-?!N{2QGH+-m?dk zPi2=6zI4i$ZB)RVB{9v1Vn+Fym5r8C!E16x^51FkRJ3X6|1~>08rH$>e^gmX$>q%# zyrL$2UO~Al|o^TFWWxQ6QNe@^6AY`bH%%-c%WpOGBBCWk!Z?+ zYhVhtorHr2kjAOc!GzcJ%yM(3DG_`i-)ikY8=txlqp_2vL;{7+#K*O3i8}G$B%pZ{1~Hz2{N*arSv+NtML{1I0i2S2SQ@A9a0`RUFcG)cc%lq&x2JJbJ``?j)p_T%DhUQE;ew&Ol0U)z6h zxV&X?@_oCdr%J+@WP%^27gaKRtNwLKX%6CBslSe^EU=Kf79pV9ipw7U&bDWw*rS z-cX3a3lvaMAude8&6~TMkG!YMn4AM+0{}peOURSP*5EfxF@w8hPhzxQ!OYo^33pG= zcqKltRpFYlTlF_i;AD}bQEF(D5N(>CdZ*BgVqvqupHVu#z`77E#MwjpdZu-Sj`2G6>6uNrOV@M z?#ev@rg$r+vDyo`0b{OtxceV=u8oe4gUqv4jaaG+4ymlw1_RaveVahMq9P5b)!?e~vC0Ks4;kWEH_ z9YRd*S*#Q@!s*)BvdJ+d=T#EeC&_H)mxzjrB7w-n^z!ja)$H9syxB^A4r{;0hd(x{ z_{&4eKSu^MqecE$2Tun9k`XScic+#8EM?IdWtTi=s{-RW_^!`I?i3_)5QPWp<@xd# zxj@+=`0a=)(lk#Gg;|Aw5_y+@&ZmFlR_g(&>}n3C`FOUB)lCn2RA;VJdXMnvZ=`5cQDBvzNneS zJc80=EIN{%0+BqrOA`yz1CCdj%MSr;%gG6$8SpYsJXzMC1A(392h2W+@NIwk^lC+H zT(Ox!{6Cz`?YOZbW^-UI2j=9$Rf9*Es8j=lId0T(_VkMP7oXvm58++!Y`gjs_XNF- z>E-Bl&i79!rg_zdlA-(Sblz#dxdLWA_0O;F>?rul(Th);AMp{iUJ!J&J1|@ieFrRA zzy-?(J0y-*($KHZ&KA4;|FrTk^UkNrr$bWV*|>JRpx@$+Rxak)J+(%mmE}4EapkVL%I*n=QzE zLwCb>-u4Yzz9>`ic3~LSGEsG^w&=?b6Bhn5ij^s$aFCg8<2-^0?EX5op5AH@hjUf; zr}=+_<4=#keJ{9bkG4ooPwinT5C$=x;mC-HM(_(ntWxFlmI(;7QSn>-HHfMh;MGSZ za5E{XeIO`;c@Z9n3CQ&AR|J&XG53B8dP3W%;a7Sp@tr0Dm7SZ_=d{%1_qdy<)0d|_ z3DTeXkY)5?zHw!_@}x#pFD<(VH^oW$^%tsClE;oQJB!O6ENt6&_J{d%k(^C43mZ!~ zW{%Un>fxL}TOwBDYjxvQpYK_ZBwlfj_8yH^k|UpRNJJ_``NeaGGHzNl z&=^+~H@5bKi|PB}rJ;ZnK1fC+-4TS-8NeBX%W`PlvsKQ=hn@J=v#@AFhVry=X6@lt zz-*#SR*J1NkS}>g1yYox72x-7r2d2l_^k1;W| z^5tmFIiCBr1b0c$6CwlXD9kF&^}9Pn57I`6-)9DrbIagn3cMSVZ=3dRSw}{S%6T9( zmb@8^qYOrQjJW-$;PZAzaKWRS&{1VaQ+_@$?@cRk7X$~?@PBJ5yNysdDc1sJr@X&x zXvz&{*g{M!3HvSepDC}cO?noJ=55EX5jitz#6;y|_L65`Y%=!JH@ZosiW)n@!eEcx z3YnX}t^*CAu5Ycfj%Wa_2W@%7qU_I~KgnpO!mBUN-tVF_$us_tc+84l@Hr}C-N3-} zLnICPmGLH4-gf2tzDX)KuuV6-jlX|x2e&dey}g4e-B#LTMJ91?Z-<7GF>x_>ZhIdQ zdVCKMe-rMBl;7YR+1PV&Fb~vuipX4{Xv7VH@r+Su@$C@(8>gq0I_!(l$~tV%2N&79 zb*}*vvjzURe)JJkR}hFwuBJaG6bh>DgKBC)F$csNeJ%DtXI~O8?flgyRR#?O zU{ifz*W|Xu$a_t(k%IOg_qJ`UD8|tIk0Bi5Dd3n$RH|qBF6B!^PZB?rZd{V_YV@9; zc`qG0>=pdhImRUlYavY{7}k8^aD!$O@=4Z#jU2xSK4QP{7sVXG7~%zkj_uI!j!TID7?8DI7Sk4ceY&Jn>HF8P4KL`k<<}4zhq& zpMn7vnsi9iYmFr{qSfK?NSRJXj^kzU$$QDrxe$Tw<>2V{Luk7Y4$Aa%Uwg&Jv`iPX zog56TthGnZ!&5MUB@%a03LY*oVy~qz(~37~)NX{?s$+neiOG(t6TtMDHwnfx4Vygr zEec+L021u*rf>s=vl(rGHFe1?IvnU{U3RqGu`P4k{;gr_rcE6$o~T=Q&>vcCo#4Md z!C#-~v}@PsCN;5(>qJ6-itXFAbClsIpJiifHcQEeGF#at+54FkeRAcsBAjifDP5Z> zCzMbB^p*8s+}_%o!F@iRS=+(7X{MQZAbV}=%{`PI;cq1@o=uJ%_mD=;1_V2pA$q1V zxP|R=4Vpm3hJD=I&rl0$tEy5!i9po4xX(bqodTzf)mzXtJcR%j1QciC3L2BYUU(YV z^|#AO_s=!E^Ad3;31yrR6{Wf3QZxaOt>U-7V#hcAAcZYe}}An9f^B<~WE5floUn{xupB5Vxzi`?CE#S33;phjRhA{L74JrmgW=?}u@ z+!1ecuq=bkimL|;8Ph7`#2RQI$RY^e0D|37Rh^S7rZ~}MbuX67a>fy!8sD$$)WNQ)N`K3aiPj#Ke{YXaFru~WRUEg!pjQvhK z+U*S(=?cMt{9C!e(tuF65ny!}rW!=j_mwV|Lc|OuoI1lF`z8<GzLn4Q#oAgCke4ei_lNn*<`w7^uuD^?3!8QmJ!c z=MP=`^JMM*k@(k4MhfFbOoYn=(Z(?6T4BD4bp$kubeY7iU4*)F!#p79JJ%yY&Av_k zwzMCzvf@4oR2{+lF9*vN-Y&G9nx-!d2Zq$JFeabg!o4dOv~Qp5_y`eyk+gD-4w`$?GAZLmzo} zpMQ;xV8}n*&6OkS;43w5`_Ck7R(e9szl`$+r|)~U6B`(De1^NYi>|0Rv0_)8Epb7r zS8{N1Rl)pyRh$G9Hx9Is(eg${f$*u4vy-GlVKfo{W}2#`6$~&)UZJuBa}hiG91)zc zHtPJt2X9gRC>QgIwrRfjPgtJfPGXE()G%k}hlFIa8orUbE9{d7H*N;+3Tb+H`Ork^ zX1+xRBmN=rF5`$(+Rj(LmEGLq=09p2ct8Ju+xzsZUWYa?`D{EXPwOwgPE1_MsJ)f` zf~9{JyU_D6@c^Tv$LacC9GAD%zk0KFyOLmwE&owJg5F_~5>%dq(8bLhGB9Wb^gsr% z*)#^SZ>;a;wFV$c3QZuCOwbj1Pu{*1vAZ3F&vjt2YGwU|uf{;IMkp8wzpS63l(Ia1 z>Fb*>b?<_;aa6lO1P9B_yDTvyCiS_){1oaMdLPvbf|C;5PzIPqT1m`ALq!)F5y61| z3Av~43@YO_6P>|5h+)K&51OQwNyG2&JbA(puJ>FA`Lm_hHL-L!%1i{#lE3^6&C#i{%A;b}wZQavPx_b8y1 zN<~e5?z?-l&+8zT#=Fu-Atshsw^fk?a9-`4%YE}*nuGf=kb|rMekBl`j{AZNIl1Za zAEq#{Waa@jyCzgfTkkH>BsQR@XWaq_gJ?^5-|b@@^Rc?6nZvxpgV+AjjM8DT638U= z^r9?1xV`TdI>U`ZfKOZ+tUxBg?!oD*3Z{gFvH$cf`gOS|INUh%?X~9N-TxD~NtU@U z{`K_m5WF#cydw|iDbZCyn^1B(46e!3z!cFO$P6DCz`SlgY`p|Hp*n9e668A!M>?6E&vMAh; zr|!S}A)K%pU;0U9jPx6WwryKGW_q)(&P=+3kis#SbUTNZ!HKu2Hc=aGuFL1meoV(H z;qZC!u>Iu%H$wvKPiX>YK;hmp*j#PCOYl?{*5fh)1|pMo8ZcEmzNUk|R0D&|e{ZvN z<91U?RwbWp$ z?fw2luu?wL!k8TLP>;96+xugo-+IVAjm&St8Vg0(3*?7C_4(?$RT+|@b6p||O%e?N zNd_4bNu045BXtei^c0{hvOn-v%1^bg$FN&s&4%ADjw4q|95f0e#Q?aL$k|oEdx9M+ z#{^?h91b9*+yvR%HlWY`4n*RPocUnGBF9kTO;f|NlMq{ znL#ZzvCgq)ZD439&7_K?fufBD-W!OX_D=efq$F}0yi5O1MP_=^zf+GmL_6<;^(ot$fH97lY7w;+C zH2lNS9&!D;Fmpddc>;)bAPze8S*X}k0(C%ux~Lq?GRj1e2)MKr)q0BTm3OXN%HuNC zA2G}E8prNu^*bknC{OjqPOVCm$}R~WK(j&+Jj_&seRf28$_+{`_0#|i3@0-oli#cX zl$89|=FVGXQQBpnm!JRaZr62Qh34Gw1I#GEj@)GQ3`$DsmnkZ0XlO{Gat>zA41_TT zsfw}AVtZ;-?GGZ1>L$lI#3F#gv#YOM@NLKy3gbmL7fRL)7Kx6bVHk{+ug2L0>u;cN>0|X!^uU0J+{Q)2Wmsy-RX>wU6=XQ@x5ok zJd#&OLIIIt*K*17!9TAR1!dNj*4CS2rvO{c)G#;R&BK&0?~GbqHLi`<;7$D~kM0|* z%V{W6C0&{$sJlI79KekIA$90>qM#YsthA? zNN$MqKN42oowVLT#}?=A3*K{bX+l?dkv}00)s)Trm3RNN0@;*sEqXp{Zru>#!yIdN zAo5&^10KxHi)av-&-P@*U?BkX{D5BIU!lcfjzd`vHY?s55Mwf;o=GTCvN>NI(AVxPeR^JXLWW>FZG*P7{Dy#*pu+RmbSKR zEM0Pb5-%@7*1<#&m>qJxozwBF0=-E0hK*)BZcOx0Bp(K4jS%A}R3*DkK41g)gZ&c@ zybe72$?Rs=>tv26Oa;{c#n2l$up-o*ObI3Ozl8T!_Tp-;?8EF68)=1q7se=}ogf6+y1>80|BsYy9wMOw^cW0;x+Dk>F1MSUqan>W1DM^Z1z#1 zR;F$Cd{jlcPaS00jnO_`y!bkP>W#Mj(Tb@qZ(Lq8k87aB!&N~>4^yyt*y3Xu=5fAe z;&*>16N6myxY5wN?>sU&6=2bN;VG*odikEL=WL0eJPJ z)my^Vh?_W7+r!jOVV?L(EHSDu5SzjAfLdKGn)LkSH06P`{ZK{-UcuLsk@$wO5z7ro zS!YK%_QKr<)e>+FM5R#9rvx7^Ugpo3ud>(;%KXOoxE=Ta$SA>g;?MgR--fyl@|xQ(Q=G~tRSVGw;tOw zmmds%wWQ_lcG$n?&GbTu>Uro(;uoqAQrSlD(-|l9!u$&S!=0YZ!{XIeIY*Gw`|H~f zH#W(czu}Gp%)-b?LuTkRl@_i|9bq;EMj>|}e>{^+l_W?IS7 z`@GVbcquqJb{4p4h+pvW&n^z9_yK!79S+CWQg8>mh*A%r+ z#zv5Pi{PBMaTD=GeBHBeU;iF=p}-OEp&hNz^y*yZF7{|;d(~komKgIe#jwCLU-_fk z_hAL~wpUKYKy(|2hIl~ou`s&-nmXdKn?{^PO3%ZRvi;nW^gU&R0mY-Sv1Z+o%G$SE zpMQPob%#9%{X)n|&OdISCnw|8wV;{$sQ8+%P5py{La$gFxc1KT6pj-5bAPjpizH#= z`dORa!)-a|12a}gZqnCUr|K<)tn^t$Ou?Dj(N|ndJu(?nj}Oy#tGIpCS zK`KT6GSYfvZ$#ksg7B!jAW;9yp4A=bWrQz0GZJ>yo zIPVYKFjGb3FSgsBN|El*P?7L2f#?5$l&itQQK;!}V&11;x;npcqs2h7RT-=h+O5v6 z=bv?Us)0L7nV}YazGI85yQpak5UxWnM!n3QK}3~YXZ80TZide?pW3oB&AARt)gAU; z_g>CejnD7m0oe*vnIbrJerDb`e1@S@vG46TFCg~QvukSF4&ICBNOAt)_rR&ay>Gj{O!{$-i2J7)CdNBz6n z?THt5{k_hcuBKSuP%r5n50q|dVdyGs( zM^H>Ki69U+D^W!&7@Lrwsq!fI;(p_HkpfrafU$QO5aXVEgpxx9n6=T!K}jbCk}BTAYDW<%n`P4i0p-{7=3oAWEX z=V1ChOZHx-mk_ExVXHRPy(d2Q;G0!jb;0XbQwhGJ5WICP0z*`~-~R{uZSmfLcK2i@ zA8CwHUs=$%3Ea~m#F2wS_S!4+@B3*BO~lmyZf2p=O`}83LzwwZ#Y>6<{I!t~{|iw# zJMAqEi=VEAT1}|^@QGUye@fM}Y?SWZu~&K-aA*B_d9lADjW4%^sa$N5vqzH{A_&Cb z_Is&ak2AXYxGl{MneYVBkaJTwZ_Ab`cGyow$)YrtKi8Uw#-QKIuSc=0^7KcG;%s!MkhvHf&$KlY34y zH@Ny2FT`bbuP1RplliDF!w)u~8)!kT-Qfvh@HyS}2{s-cXHVB`##B5q5@AB*>V!8S z;fenv6ho0tEn|&Q<~r=38jtR$O_fAo4?jQ=Ngy_e7u|xCh>Gb84WM7O-|rG0!f@ah zv1uR|Yv*=d;nU$XW@cd6e$GZNjdXrw0xP~a;q^UBJWhL{@=o3!^0y1@qFerIqGYd`ltAZSwe}jJcV*~qSTveI*56PvY&TM#2BqzV*Zz1 zX*&P&CkghfC-D~G+KAGCsIJKVLaRI1cfwU+D~-Pu2RFAy!Rx_wEDUT^UOg821Dna$ zKv-Z1F512_>l-K@sflkM_$y&-+F#Ao&-!L9c&cLsg}SwDc=cs;~InWLf1P9Iu$0xIBLQD$qtK<2#%})lwPdZ&5c< zxXeU-@ERi!6O_BJYcVOg5d-U;A5X)-^SbSg&eYX9!LmbKqQZv!{C z@~5Yed&GF;!aMQ56ATi?tjqy==Z9aPN;llhwc-T;i7`mv`@wDw;oQkFl$$Z9YeCUy&BDjU7g?FZ5=qDa9Rl% z0W~-$jn*hm{FY=YldAS2WuA4E*FUch+`5FOVkZJJ`1+V-}gzo>3P%!;*8=9eR|8UU%b@q2HuzeoXo$I$_! zbmfWPX&J9?tATpwjbjQ9HZK{+TV*C zM~k2nv{Sl9MS{@NY(u(>GqeoCZi0K0AhD;RrRCqfdmXZ@naG8M^|3=-{5ibmKTdEH z7u@IHNYB|JBNM-QBjhl|uQl<>nbl)SOrbSv$6*t2f=&BeKlA>zdqBUnp!wj#hrJ%xXR|z}a*HCkzIt^0 zE0b{Lcm1{zSYzckb?)G*a3WiTuDcC6{x*`EdZEOwpYPsJgd`YH5(o-n9IM_N6*ajw zcP2h#=XSldU%TiaVobqCr;Blkacn@2ZvD|amT^=qPSvUPWmsy<;9Yy6(*rh(#{|Sb9mc2tupuP)x(@<6fxJ2NtSbyQk;+%nK`yDHb_D_4q4_^4G(opIgr&#^mp2 zZ&4aoXpY7{d}zwe`3!wQ&J7iH9RD9?XIXKHAhIO~#Ln{ARn~}6UYiB~c>o0Rok`go zYnr`jUJ6uq;p`=y8W!a>05gp+eh$u%cz!~^TiWP|suJN5N|RVE3^pfF398Tt+#8M0 zpFjU@|4Ot1(HW{{X18V(kfjvgWemiG1S%lxFU}w~lWzux0u*kVBemcXjz4(~BI2EvobIys8Tuo`aN{? zMB>MXug-}all`b={Rc;5yoz(rLk)_6-7Vls6t}){sy40=snsEK4fe8Kphjckk}{uCynxW}b~c8Zv;cSZXvhU`AT8!jV*U>i-xBg6pF$ z>VD&rRe;Y_-Tj5YU-Abm21V}`t(9oD+JgWGY zCT8=7L1-#OoeikXBePI1fKHaW#c#}3X+VSPCkr2sj3#=oTCHpXR|iqKV$F5LHh2hD z?Re{q)n4wq;5118{vd#GG8?zE9S|5nawt^q@^7R2_uF{bb*hvy9hcY4NW+QB-Xz|T zxrgm;JW7E<@0@;^CR}4nY#zFofPwq2|mj?!$Y^V?jwwV>uuApZ&+hr3WWM;SI z5nm|vQc(L8qjm-D-l#1+PQhE$A_v5yw(n#zj}>UxJ<~mVW3{XE#rGHAchwC0Ed^xw zm|ukdOJOoi#&cvoU^X1Kb)@Uu*3nl`RJ4OThS;!Rv=Dyw`Vnjv78gz(xG_T8l!o;Q zgGlV!;GMPp?Kdfeh3{S&J{z)Ombz>k^{J2z+Vw}umHn`so8}ggKs4P<_>?$4X;XQnP-0%z-*42VK!FZG4-~E@hEKa`#NpzBqtXh+rI!o@#lrVlz}kX z#GY1F_Wjj}a&Y@i9YD;s_Vx$siv|Ycfu=k9*5x=QY|tO*uVdTcnUK$qSc5vIqteaKo-v`E znGo!b)64s~wYd#bLe23DWWbM--y%R|mqz&Js=pGN6B9HkK7INGm0v4#Yf_MF037nD zf4CV3%?>4{lhc0uJyucKHs{Y@$06Sc`)$AHP^{Y`6vWQE`)(`w7*A#gv&jyn?hbDW z+q7;uDvF83Frul-xmEHE+N5fw`L3=m1!G>j(f;JtXHa7A*tP50{i%7d>P|wA9O?#V zuCaugh!LYYCXX3G4)1(MVM@3x#l*VeF4Ml}^QuQUpr!NKn{gov%`+nH8h4!8;B-{_ z*FB*x` zs%V?3scGg;rka`>@83U#P%wo7duP6R^QMKd!Yq|_z(Qi-szYiUY9mA{w7=v_(#u<( zx!*Hlw(xH*bLST0qMJs0n;FJ-`~1M9pllF;t^qR55o_8GzKaZw)fN2lo#jaSA_+i( zf|_rhRUqRI+7A9_Pca^pq<@+}_OBaLfq94b#@4PC=Qv0FU+8P1MiM=+Dsf$UR%+be zuyv~e`&FddjY0c#TKy;J%B;-Hz&9VDG||ifd;gwSJ%&s`>ae#wUf~>Pvu^CLFm++| zBA&LE&w7fn1*+yX!!(c&~qPsfcCBxYzErX3E zQr_|Xly2wrjyar#Cx%gq3mXQR2ow}5tG|w3zZ4ytl(`2M&THEaWcHRvQI^Z+Mr#W2ueSfQ zN-_x*Cctm@&?62YhCsi5}h}ql?*5H1|HItkl&2CQ$^Z} z{VsLXstwz7jEjscETW)|(@&Q_GQBB4Gg(tW?ZSnNFyB&N;KPLS4RO8|^Il&UEETb`$keGP1qku(2nR(Q-P$6^i{Mn91W!f96 zIcKAT{xI|9M473HC3>{+RM;Hsxsa&P{A-c-kN(F?jzQE&fq1;br523Wg5Tmw^l95o;6cA00%>F@i7T~ zh~Ghbv_a8C9w&)hc4ZebAWmP$eAt6#j54xM!TW-9B0UlNSVQ z$cB?p7@J;H9#sgf+$xjlxCPe)#hZ~wcI<&uPtzW*4|G17O2feeiGDN45X!>pOPhBe zsZpNhIph^&@S~DZz2G({-o!Ob6XG^boZ{6@& zLDL(G`qLKChqw|#@kBHQD7B8XEdExa-;3QRDlDgvpReCRlDWySGNYkDqlQi84gN6K zKihv@riQ9eq|Z+2&EQC_`p7ZNWI)!5nv;{*b5Q&o!iF4x_QPV)8lVX(k7#gvIg5 zeoJo|IW!=5)YzD6j^*z%aCOvv{SI(Bc9d|X6D*m* z$3OorM|=#BS35u{$@?$uY0npp3QkGc-0pl49$3t85LnwL@1`nVl`OF`1_81;pgC9y zY@M8#?CtHlsjlk_zb*>3!Uu<=y!#SBnU4XpgOCf`A1E@><1!mC=9~E#P4T4G8Qgko zQd0O0m6ZtpV`gSy=*w`TyDchToJsDRbMdIDtYjztVMH9$lpQ5I6AB2TS;CR6Dwc?A z{40X_zXq#ksRGIp%#5`-9?}uqPM75VB%9(1r%DhF$KB#$g&xxihrW`{yu7>=6uS*t z4(*Q!iZ;3aF2VQjse{`hNMu|%RNaj&Z+Pz+yk!=GvyH2?e;UoBxVU&>0@EAkfz2?L zgqD?+*{HuswL=$ApfqsD#JbUllOI^G6m)OlC@m3_$c}X^j}atj?YG!1M?ks zS=DbMzVCBqot>lcV9=EkgEN%W0U`@NmdPn8wzyrrp_JM`ANa2zINL$T;GfTbd*0|* zT2!KJGsBK+%k=yb5;xdJ&puvE{^?(q7`9qj8VuT(8;&>g53D3x^R5f z-MdT~85w(Dl?8w|E!xQVySuaVrA0klgzH7#3}ZduRIq62MK{B^*$c3l;kYE-%DqRG zm2t6ISpWt0$I_6hYzD3ChaAmcPLt@ zDgG@_u#!E8w=0ye`@2npC>vCNM!!Pj%S3=d}T6uDfVV>5p9o!+;Zb9#&ccM0@alaS;za2 zWSTUl-Hm=!m0H51>`R6#X*%mAB_w2GiUuUstvAdpjjW&DaoBUvG|1Uh!8>=CdeB|= zvk8ppf}b6nox-_ zhp2(QXd?=_Yg_g*f!Z&xuKr}OUNl75AT?s~G<TjT)i=y0{t1DX+t|2|yz^my{etI4gpbZCIfYiq+xOH0*sCx6+Z zu_P4*#TdvfV0WWD;(yNBp_N^}IBF|etsHiI9hXqxf3{j8fzKq zt|~#+LM&skrohXe>k(8h&A&+GEtJ%B48F<|mJbtR zZ(Y22Q8CZ+R~Fg%$!Ji=yqDhQT88{OJ;+w+tZk^e3z3s-7)_JxpZMO;rPQ+R)P6*Q zXt<%jiPLy^|H9eOdIfA3qR%E)aG)vx?_LTh3}g-X8>{2i*>PvEl9mN^>ha;qs;W1l zkLH%8`k%@mR37kcGrmuRl~Sg#(q>T}gMiZ&W6m491RZ7`Vt6cD@DduxbghRHkC%h> zm-pt?qRk3HN5LLkiz00RefCZII`sE|lb$O8ZjnoOwwp1TQZ&%lmygqPK{kx$p`PR1 zcs&>N(#xlftgP&AG1hSKpTeEP|9jvAP@11s~HE zxGTMNUG6Og=}X}^B1`*b^;7WH1Tvb{7i=0kw)V=#^u1RJEe(({F)LL5wk~Gm)XyU( zrd&A&OJ8>G@xKlw?I|Fa^(#XZ@`}AHjpwJ4_>hARt+22V2qPELR>#K1RA-*#=C)*3 zuB*FLTwJU>_(DJn)FjQha%94j$^oDs1(H{e%Bg1=IlN6%4%?#GHnk%#rgvR6ec6$# z{R}$-YXx800N~g(r=s>+7E}VG>bJouWJTf%yUBg=b8YIa05IzMX>#k(IK@8yMDjF{ z0%q7D$G?+7}Zc7>m52oyY$5E1J&6V$w4T7n}>&aNiHm$p59L{ z-#KvQI+RjOID10#@`S*|kpkdlsv8>22LXTNpd`V%41}pY6W0v+q=S`0SOsB#fVwrm zoFhn9t^wEr&8_p;5*{pf?D=_oe0+%GA>+Z>vuDYaHVkf!MtW64zvvtLKwpop?-O{- z9jB!`K3(yX;N;+lofsT~fmrjcAFw1hFRu_3&vQSHK#Pm%hNu}afjR)7M%=`+=g$=^ za*$^jsGc=89PSdC03$`i5`Sh5&si!n6B8PQzCdujT}35h0G7$kxyD7eI5dGMmo-Rf zS{y%~(zMw2{aBce7)+kH{_u^o-f05fk&)R5=44}HZzOA8ULGc*ku4Rui-dbXQ?otk zxq@OI;O5V~CoC;vNWF*}#LeA3C^VE7Q_K&49|Xks7phZI1f+aq<&o2W?w5yJJfyI+ zurLrZppuf3-da~{!d3!TMwkz4`oYW0H`BAY<)eLQ3GgRbN{V;M{vB@ zK|AmaG@93AoQlc*xtqsv;bmtB|Lt+mmEqwbWFY=Z`G=nY5D@F>*zD{LoDt(dRAC&O zOgLg{+FB7HA|e79!!0gYswW#4`qS?2>ug=pDJ+1}#-^+*?`(z!)}p^fBr)OUO-kGr zc%yNDzd?lCa_H9WFIKzIG*xwEeEsTF8PO#2mMHx_Zrnre_{8pMYz2aCqSCkMX@%v* zUC9@C6q#&q*sQp?iLtP~6F^QSqTR3^Mjq3?p(*Me4@uUFuBFuuf5`H7N=L!w;TvXl zBX0{+rbFU~{Gt6MBQJCo(>oO#LmN5aW- zYLwp_60&wRjgJ>cm@0*1?F;KC2ckFJjuI1n89}JXlo*yXjF0!!MV?B07Z=QA(Wwx= zsRWVasO#J=PDiZ7yp`UWFI~N_ia$=QadaupakqjX`^KtiDQfme4m@T_`MLrXf_dRX zX%ov0l9&m<3>-VV~ z_Z(#}nBtG=C`)?aUr^aaP>Ig}P&FkTg?*tLsyox@H_pNlSI#h3BE5dcjl7@*VLmyl$1??~F( zpV75^R56b5^%ZI0fY;nAk*N0tHq&0>{vQR$=(upgV8{^#)!v$deRaoAoOq4;n)5Fl z@#&X=vIIbo{}Uh(?^Yh3L;o(3#02s+-)ch*&|(-J73BbWtXqMU!FV1k=;b~>!T}uD zgKkr9@7}lX^l^oLlKewXKu3V;d3$DEJt>W-ZI7Vg5|1sv!TKf7n`qCBrkVHMLW5V+VY6-ui97LUdQy5x!{`9 zobh}^s`5Xl;Om}BZa?TI*o738C2qkGS*VU6a> zy>|72zvG`Z31A;a_I{EJSeaEnvD-(7jhG4aR(I|BY3b{$kUpnB24)@ejEi}(;)Qo5gb5=x zDGHv#>xiqfO6`;M5V!!tdoip2=)tZxEnMD4ddZ@B_}@n^UC=xQIH}5S^xv-^)ZuIH zJX%MpjEnq74NkYLZMw!+uf55(<;qrw9}cVBk2f#BFpi>(MeKfVE&=e76Ohooif3NU zUiBlZq=W?~TVmVlURBr7xbW2t*#|kGYU(X~Q=xUp*tt$i_1k8l_)hQm#}rPi0yUE- zk00Mm2p%wY%(srC9miHgS3`w0-d8k4U#O8kJ6yNp?&B5Gj(Gd{xYsv&`P}d0m?`-R z`P=Q0RmapeFu|0CPwyUpd%83L6&H!e0rz{-)rZ`Ph_p5P$)_SIxBKHcJsvhYsF070 zT!amxw9q%2NM0bf*uJ82n%x&T&E2-iVHgPkK|A(J`7h=(YOEx(q6wtye{SR|*X3s> zqno&gRQC{v@$NpV(IzfOG;_ERrV{x(pFJC2eN4(jn7SwTTQb&pkpQ=##6(U(cE)z< z|Hs&ShhzQz{o_~J5kjbBuS6k4LkKA&ql6->$Vf?L6(J)dl9FVWG-PCt>{YUNWrw1S z3aR)#&iDPjkKgyt?|t0IeH@?9-OzQtUg!CIKIRNCw3LVw5;1-9=Ij1f3qUSMoFffa z!!%{QUKbQ(8tf&-dw+etc5Y)U8bP7X+~1!+ehBeaLvAzHm9eo35ud?}JEFbA($3); z7_q{;_Hvi&V{C2^#S%}!;IHqW9!3|2J#umdY8Ef^?D_Ls?yU=xZB&Hv1ng65Gi-FG-qYsmxp_gEX$eygHn2`1i3?j*8#%!^HhjZm}z`@w2PjxBiV9`a>s2wVjRjUQp8u{Z7FEvW9Z!#cD)NpK(IiiRbGO zWW|b`S&+Bh+gTP(Y7liY1G@Y0j*tJulZAv9qvL{yj<3O9YI5@Alry_ZM%lwhkJcZ$ zZ=Ch=U%`IGl4tBITlcx^=TZ~w7BP@kQ$rDE<38H?a&yPT3P73_49SOlqU5Dr1yCum zeY*@Kr9AsRIfy+LP0@sTz}7zs5)!3lVhQ^^to8c>eXmVpSfr$j7(yJawvc>oGr%@A zB-z=@K1dgKbV)g{S*oNZEQg-?)k1P((K+bMD&x{4i~qw{gBEtX2)bfPGMQ}GHZgxX z3-I(v?$#jKNkwUZajIbWYSiu}CMmiyYDI*Jk)cziMGVk(!@1;wIuhP1cL?N0DfR<_v z!5c7fCFzSp*8*}f>VNDqY-Qc}D?t>h7Le5 zN*h<-EPvh3cI(try{$x|fRB!U>k93|>(N;vNY`1w^_%x!FJl=6vQq6Am0vLd_NDxJ!GyDI{f7T{FJeZ0CG3!6&Mb2Y2n8~@HUySrd z_>$)&5Y&RZvONGUGf zjAwxOZaI}|?}uq~p{YrH=_F_lJF6!-IfkLOoituvUX@p@rz&m2nHIJ1)FG7 zB5=UqYGrL*_3V(2PT0Mb7vbUSXVlKZ$!!3nAGwoJ0e zhOTE)YSEj;0xgWmxwpR`p6U5}jSaGxhhU1tHk{TBpjmv}7@aA$Na z>8~Kk6eNZR`mT`t*$;KNFA1}OSI!Cr5wnYn_2gtE$DCQ-I%Ln{b{-WzFE?_4ii1W= zck=&;1?2T|x*?KKmAUwS(1LEpx?(p@la)*Q=H|L}TyN%vVTm7moz}C?>lD^HLXl|Y zyS$l~w>o<^5Hf-))bDwVMK_ZEW+LN(6j#{sRje%|kPPBB0~tX`07&F4W*Fkqkn|FS zRTaN7I^+pf#P*J^<@1KmI0!t+R#j6&jeL8>E7RP_&^?-S4e_q^?wE%ys%qNX*^uzP z;gLr_fKkF#y60g@AZs}hx`kYoIJg;`>8z-Z1C*vP4io+eHIN{-T-_}DEWI3GSK6Ou zh6a;VOd)R+V$>{*-}rzu?L=pK$Q`2P`Un%?SK;5iHFO_J;^uasO+!rG0FNk9SZ6fC zB&f9K>i00>t3v2@`RdAE!Zu;a5%QNMtqzewQ`0tAe2Pm-7{Aw7R3F?w z{PJ)ayfMnf5_Pc09+hq6JFyp7=*+GKf`BZ!n%eMG4X#|BWw0x!mPz%=i&3h zyd=MQal@??tq&3$>&h1HB_!yv=`iFS#X*pDX+jT4agTD35_E9koA#ZrlP|cEcvEAq zp}p$qf#2UvRsQilok@U*on)`fA`&(QGZEl2aVaUX7!l{Jl;2NCNm2q@*ObI&Y;&L>nnv0W@U?hm%8~P=ya4b|7M;_=d6j2l! z@6Bf40ToI3C7utQ+>>9q7SV!Lol*DA%DUd^x5a{tDdR3hqOl_K6=MaV%3hCE83X{u?-88T#YFY0#w>;3($6Ja|zP~H&y{QTx?K1;)N{%=>He4{??`NVMBb?namZ}%b;W6V_vj~d`Ue(ud; z)PWyqd~s(nc*YuV+?*+2O^DnGB`6PzfB-I9UAZF0^!*J1cLHI{_Gjni-Mm>s@!Vta zbp%mfo%-R|MfX4_5C=-s>P@ZE-8X>~MllSLb}Oxl<0no;dt#TIJ8N*(OMrLp6&-0| z4*jFCy#W`ICo)j1sjkl5S#Le3FqJW*Y&&=;(0!`x*<%Uo>2J=9FHB0Gd3856>CEhZ zcTdZG%V;YcHq6Ne=+@ zm(N!IN21W#>tBGa-A~|l@%8`aYWI_1jYLe}a_zK`)anHsj5}onS1qPjR;J+}i;ENX zZzDGC(wz9+x2fz`WqvdQ3cAnA0?E?_X!u?*lmCiAk2t_2Bl0D?;l$I#qeU;ZNI zs$*%H)coT?Y%D(ty--84iE`Qfji_n0Xtnq)S*`os{rz$55g81(Qd*$~jfbW$>y6V+ zg@v)7n5j}k^NNRt=L#kmQ~xaF<7QJtEq4Pw03vjyEG#z zD*EO}r1rIi1%*GyB?oHuzoR|r;E!&p0vEpDe?_spqBfRLF<}~*Gk~@E<=Z+t>prf9 zrT=h(22z~_|40`nIOQV7k5vL%H6gZxlwe6skOgxwgoKDbDf7Anjez_kgK58S|Y zL2CQy*Ue1I|r8z2yHO@cp{HM57_Le{-0@QDRa05D|`CZ;PQ0gHm zq4BX>)Yj9B(DO@3JBL9vQUSvu+s701xV6VV-7ZtXNTqS;JMIDm)mB6OfN+d@Jl^^$ z&k_$h>Dp!!V+)SRo4aCK8mzfX&a08qLJ*K7L(0hLl78plb<@RH-_*XWlIhv=HWxf$R1ZKt7Kg4&L6mM z{5@Z(CC63=J*8lP6C` zi0$7mgT81CQ7oaM@T~Yz1HrwCd|Me%uwnFs5 zl4um(Tj4~&j*`nFaYek>c-NBMDe+g?(rd9wCI$&=97>UqzL-=56%;s0pmKBbc&X)U zu?N=C0%gp^Vf3L^om!zg0+jW$wRb2e`Aj{Z) z*+g>SY#FZD%td8tUwr#_yms&3|1X@aG}F<=rQ~$&i21?ak-$+cCK%vo}3N zs-&=RvMUZII1$_=T0UQLL;!A{dgHx`Qjh_Su7>i|>rc3U*cf=fyF%|-h>yZQ6`t@{NnudqM z*Y=2wx308K_gr0*w%>6?vc^7zQA3n_?X8qqaOZ;3(vd&4j~|bzJi~4()4Bv@;QBj{ zD4lI0$GdzMTV9LZpB0}I);Z()le>_|`0`gO%AQ5jfIC$a4R1?t+)0rXf3aQvT`BX| zJ)RZG2`rCAzj_vYQP_x^!~L#1+X zk_I2P*eSc|9#-i+%d78_gr!C0iBPk?#K&O^o>R?I8oXytNPh7(v(f80QmP~BA05q( zaC1^>hW@ylSKF(*w{$&?TEZe{F~cQbVrFIyt?-x+LJ{%xJxG0&7V5oi#}3iNTD@a^ zo_C01rF>UhlCNUMaRu%X0=N(k7-3U4&{A8~)wL1nq$H9_X=jo*JAKiq2vFwa*i0>Y z8-#&WT~pH0hO8#|TbTP|eh6U*f~=O`Wvx z*G5is=cz(pY&i3JKi4zJ&{Q0bsG|d#4N@0xhb82qq*sks*_$3E>LeElr*;(_)=cXh z>2k|_91LCZrLr!o_wn8=u1HY%^ZPfN5kn7#&3irAd;O%vL{cKx^I9b zmVYK5Hf0Mk@xxj+-FG%%ClGh zV5?oDzcb=XbbmXwO%M={v5zy;wlT|=R#uft=q?^biq~F1nRAnELIc4(=9X-0g8~Cb zI*uL?d7P#!J)?tb2})kyoMJXP-O=x#A5nZ4_?plGPW7(;S8Hy*a*OFYsl7Vt!!N`d zu0;h0Ek>kzZ1;hF;EZ@LqZbp?Vc9RZ>wyViFs=IV;pD^{$ez|FS&Xq>V$Nn*q~ry? zitJI)?Rb0|aA@=6SZ{K@*-g__c$|5)O~A4UH|7rwyNsWaSes%tBLzE5}B1Ttb@75fKsMU{sG6z5e?%7v*bXBzILC^n>dokoz(YGe7#G|;#g9BOoZlNQ-U0HoLyyw)=Qjpc zzt7oiu-U84er=y=MtK30H5A=Axi-`5_`ZHOiMoR{%y#ONCE-xOEUGXYDlzKZyLV4o zUjB1#2mS=d`1EuzL}VTs*aDL~#83YJM`;T|Vl6BP8u#lhVw1&h^&Gq%72XAHiIpEZq_f;E2c^cI`3}Gmr?N zVdUh8p{$20X8-xuB0GPciw0YEhd+vCTIK^z;k3 z^o;Og8I`g&ZccT0)4f}2NT zmcU(V-Dk(xW_s{_gi3^dQ~dz{zJI9@<$QXkNsHCOW0UCg?xy_n;^zlS8(;jX3w$H( zC_~PA^b!8NQ{r001L3#8s^by5bN%X&pQL*oz`=+ie#7w-`Noo?=FPs1>MZGEWe~-- zX}e*VPAV;pPi=d~xV$VUDykWpK3a`{8>KT}i^a5$98o-+;%0>)@%VrvO=+S0dU|@C z#}}qV$49A3_5<6%{e=cUCTL<iz+Hv;%w`&(^ITPfnQ?oPYm;vkA{>+I{;* zJl6?EYC}SY@y8BLOgvrei$OmJX4;UP2Y_25e!icII1#t}s<`6RZPB6^4A}#>oxE({ z_1X&pnfKkZnPf9kIumM(-438rOYk`}z7Z3YT8nMlWW;r4FDUI`iJgjy+~A)>$C{xS zc4)D9y z`s%e8i4yc%{8kkvV2uN(?c+qhVWFJbocPdVe0*PdXjsq$h4Njw+Tj#0mA0duV##GS zWY4yAWD4${QigU(wXsePXxPEJXMn~=p!ylQR`3?Oegd-3&$|M)K_XwwiG(rTVT={M zkoJPCXTd815P)=F5nm&;j{2aBNGJ_*0JcHx?{PVJkTm}sZTJMReEv>J+~kLXol%X* zm~m0xY4&foUkb&j@qi2F%*7i8)}B!LpuPK*LE1^7F!%eG`>w@G9XN2>E;e2iVKqK4{OPGy$L)F4KwXe^=sngv1+%JUh%a#8& zP*+C_1X-jUkFjd&_gYk;aw0(|D?7Uq4;7dTm4>fy=HB_Id7D?4ey{Swwo^lW;4$Zp z_3&iY{1osil~sQ&i{AuLnYau{_OvYTabx3oDho#u7hj1wzjw8w3Y?o6G`^sFaW;JK(75+nf`rz*Ib=hm|!gR#O z@&*hcTTU?;2jpH)>??r>G8@PO=&iz%5~^RX+x}MzU_($pyQJg|d!TSjH+ss9W2%q4 zgk{}2L0j5C`$MJtfvC*>XgQDyi9L?2($HJeHJ4zYIsw%~-gl$AcjoL)DVgc%!IwVz z(J+!_f~5Rw2Z~5Zg-^fRR}j1G<>@*9h8=&k;8miXi_oD?I?uk4hkKKx!kP(8>vvHxV}!iW&Y zv0W#-)%gG&sVeV^3Rn$|RM~oO<>&|C8`p+1SWBJ0@!D`67Fy}xSMbh9y{&MW^vJ)8 z>S`+42VtY(ILAX4nZ0a|?%5(|Pl-!o*pOoQOmUuCjd0}G`fQxiAZ-m0@7lf1nmwX8 zr+RAbL+`ej+Rge$t@~aPRqQN--V6F;HQ5}NO4{X>G=K{Sf2+wF+HQ7x032yus+qwT?^kR|U?BwjM z^zX`auS}V+3?KBrtUNqSD%V_~qF{y8(YZfY72`tCPZA-pen;Zgy5=B|{hPzz7mxA9 z3L801dK%l`aRj|CXiaxD)y1 z9TeRczT2g_^!{6$&Lsx=ME!dZBp&SZ#fbL<;UoG7ECj2w*7zyx_WY~6hUcB2D*DKO z+liJeagdwka@uicnnG=s&;e#4{dBo92wa=lq9qd8BpAvq8>q|QbC({9I2j0L6&Zzz zD)rO-wmP4!o8lqKfd8Jvz$b~{a$<@aK!U3O+ZQii)&Liv-kraA7Q#nJh^cp|z?suwZ{U%0{Jrm+zhc-xz6 zUg&;4rEOE1n|tiV`RTEgzR%(Gb%YF5|JG~K_wwvSb%##aX|G=x) z__Ov34slDf!A5rW9i|k3P?Lg zY&>q)ez)RhRn=87GV0j8!6VMnkrTU6bmRg&hMxlxw4WH>@%EcB5y;|NBj?FEK7#=O9KxN|UmnVM6ZG_X15(7v zucOsfpyZ7)oa7Y}7Z0|F`P?v~vk`a-L-Lbj64?+A!tL=z(g$OQUqU(ZAOjMqM&!MI z-4JNIQT}ZVw$x#fR#ZCFW-kKraTVTzV^mXZaLxHYvp1Ye5Fs3L@2WJFatT)`T>PD{ z%ujZ{DRv56b5I|9t^k5_7mw7XlEEvuuG7djYyx#u6K6-ur`kdr*+Dx%i z8yK@~MStw;`25-2z@Rcp%e2^S8xdEm>I_0#H>(+wHS^z_T2%p3B{CLrbm%04Fs5Mc zKl~2|s9o}nHC|Byl9D>xJq1yb&|u2lpGlTDub}mT`g60h75Gd@h6Z-yFJWMa^=NfF zCVR6}2QIxnBO1HNkWZH{n!F1 zb0}ax3>W)z7j{ZWu>I8Gc$gbQl*&X*SeQLnh68;T&`V`__L=b_d5BrysG^1YjLg?C z3FdNxaXZQl%c?ouwuJ_jMY6-IwzbVxu9pFH{rLzj; z(r{l@bidM%U)p<*s z8Xry|HVt;y1~e$a5hM7qS4QP7gzHy#b;Xpr11s19?!@!967=*7GlNHix8|Q0c_@q< zF>BH@_`%TJh8`zFqSC;fN}6{Y1E3@)@k&@?hgo|eY#3ub?V_f4=(KAXh|RJEC2m1; z!Kfts{g1<;iXNJp3JnOLo}YJdbkxojuJxUp@1R+b&yv4;xw5Lt&%NOjegga{oq{8< zh|w^7z*ai^x^IR zw{41*iT6Z`GJIf`u$YmP7H`krfBza?uz-`MzM-+P0L;!`&AE3-NfC>WqI#_1GZJ7w z2bhv=r{K{04W%3!8@z1TIm32m8$MG9xq~wyO(Qbbu_uB(#o5Lt_4PHmKQZ4Pt$w;X z_{E72umh9|o86p2??LgGJo)ceA5%qFVnld2P>fu=V7Uc(*~H7?CjvbW<+Nn70EUHk zQE)UVQc9-v=U6*U(W&zn)I`j&^n!mKcNSAAGokp7{%hJN21?NK%$ZsN0g^(EbR+w` z84MFLcolFL@c0(9e4CzD6ejU)IHq$sdHXD?aB-_af~6$OhIdCOu{I*rX?8<9llUz) zAX%VsVELzGE_&DSJuCCq<$5}0mNT@-r6N&lL@nUp@LZmAVq$`<`d9$#aNk)%AalJ# zI6DFKHU4tOgctBm@f>{v1S$zP8nzbcOz(}+r*5%Wb9oMk#!lUDv^6QbAb<~z7A92e z2-e_z$jN~3loU7=YXNKbz9D?w@3aax6{5=~UolA2*Cb2nMY(cHPt1DLi$<8B3 zj!2`(dAdJOTh25N`UO~&AZyq>ewV>doF(i@+z9nQYLRrc(;dquE^X^=&gi!4m~G*_ z%OI|wm1a8|)m=MgCY7Z(uuaHElJ)Fj)|re zcB+N7gAer#7Za&P8~YD9|L+P9k(A(0!!V0`h&1RRT%2s9d7eW|^R>i%9%^c5VXGBe z=J|hcd_CgbhYKmP(KbG;6IXawoNc46Y_sqpo`o^5EA-D;$!xhWq1|0$n-J4z8}M>X zr&TGG6G7mS(M^n4kz9Ip&D#dM*t26DZF-2Mc62M2V&zISlq^GIc=XfH4B z4Ut4#dW?XoA^L$*$^P5+=tf10xaFUx`yP19f9PNZ24MMjX)fU9-6K!zQABu%4LU?i zB;pW19p>~blwy_fMl+GxF2sSrew>0eC4LYXO|4^rPGZgn7X71w^52f1m^6o^_d%pA zgGq04BW$tuUC%cHjbzwl=jfgzq`j1MSmj5b_y=P+&@={HoWkYa%+}*@n`1KpG65Bb z__l4sI>lrn2g3?zK8oQk2wzzCHn6c(W$zZXjr>w#RlTCuq-Maui6|mqqLngFb93(s z?OKyAA^~!^_>QK8}IB-@WVc~$?l_wDqmrd-PtS!g#Gl04VuuG9(4eZ3|fxP&& z{yg86a)&!>2L=ZA)N2LmZw$r0VS^iq*!l5w4Wn@!?)q6zj-tXsdOg9u{KdJ-T1NXCw~Ldqp5#Ez8eQFA7}RyQP_fkBv>O&Q1BG zwbzq3?sI;NrTF&^|J25FsqVEtAMD|eQYbMVSQ=jiEtzp;ZKuK_2wdjBar={j@wMKd(**01ypOnb}9En_a1wD*_O{Sk2n zHjT03K3P|9oTuG_39tew{$oe4DQs!}Y(Wm9Vz$dik!gd%yZ{}#+z)a8K3dvt?zK!f z!~{GV`J|RV@1&-t4wbO&Z92t-uZfj|L%1+I(H!Cw_ypNL#$L|=-$TjEUj;4 zm~Gerfi`rlbZ8sUcoh_)NjN1*DXGi(YrJgA2W49vDe2-Tw9`1a_SMF`eqr!L{2;z- za->1;+q`thfCIqNE%@q4IzMtWG>pgBe~cJh>l>JoLoJu#2W@k`sy6$yrzzNAayi0I zTDsr-;`Z-bsKX}J670f1P7|HPuIFKEM(Mj-b;~NO&YTNeKS(oN5X>6;urbT3nijD| zx8olQ1jrN3EGa!9uMI_8@*v$((hh~T#U$$R3bXG^kMGe*ihp{We&z0_l`{jh`*q?C z=xM6Hs53p?Y_p+@w)-yA@bEAY5MSWH#y;orO9U*-w}*r%j(#|yW1YWhtWVK-<}>hL zY?zD2Y9F$tNS>?j8mbFe+KF%&5WB}twSSu20^};eX1JG2{Z4&T;HV+@{ z2u78ZW*O@mde!j9fOl~j3GUm+gNL6uNp=>+4gFX<^e3Y1ZBqc(TGp7!AO@~3n(?cm zYZ}46dhE(})Z@J@qR;N->>KB89j#Vey0I@hjA+@$Nezn}6>yjBlZQJYHX4p9-=>(PLh?KAN6&@M$p;&D0roRsI4PjrE2`ezeyzTHd== zN21CuHLgWEdvVv`Wkj>Fd41NlHw2)4;6V9ik@8CyF7SJ1W8{F{V)WbIxU>ztyb%EV z$uLteL*X9FsB-6C`yD~tnoJwyq`0EVtDSFSd`Y!h<9K;KqvLI>(E%V?3%{RPk4df2QaRoHHLVUjb%0S zjpeA`%-tw!K>kG-d>TcKO${O9QF9znge)jO5T3%F<7+ zy_NlK7d+58MVJq5bG;AeM)s8dtGxJIs3_)OvWDtr(RzOEPsCg zw1uRF@gB%F%c#TBH9O<8x@FM&$NJ=xP~$&rl#}u%R-;cJV0dB^ehFnU3H2p~z?9W4w!+pVRVoa_YJyRn{p~qGe<;3oH+}r9xKHVxV!V7= z1eZ+^_7~C}NxVnUtf1gb#c#dBxpr!-uytNDWkDnur71Ss-F=2?6@lr!BSLT z{q}C&?5czbqXna6){uzl?7jQWy*p6fbB2eg_9xP%qP0NC(^M>!LI4?H#NB(C1L&*c=ADQEV^yXf$l zY`#FC>O{Gc{rzQny0nAyUW~G?`_MP;AOBj7)EynF)b<(6>K>AWWkMQ9A}SOc>=SaI z=t9j-(pQnVT;0=C(0r<+%RwF+v*TD3wJ(sus`~n%QQ3tYA{`~JIzhpzF`B&Apx^HT zB1f8g53%e`&@uRatJWH-BtkjC?xODMDjO8^3(WG$p+6D#_U4&|Bl$D>Zi%nnwg%c2 z4+DF-I4;-JCKQ(9?JwD}a|e42 zQrlQvNT8DcsTbp|;;|C!@*eA3hqkw`F)xWNMkQ97z0$R1Inz|sm*24Bj-J|yVAOhR z%%fnzRbO63wtn`?v1iBPhn#T0qZ2BW-@F;b{_wYN?+wnzrTi^HpKZd;d2Aa>#_51F zmtbumRq`kfaV>1nO;#Vt6zW~?Vs@j&$AxN0{3^VSS{Du!ooY^gMsd6M*?ZI%04{hT z|1Ftd6FJ?IpSEDu#(#l7z#6U+o-?!fL>*e6pUN<1G`m#34g+FETiXVx3Du#cCYurx z{3?eo0qQ2>znjSPN5h_M8I#+EP#2L1LGmjhV9#>w*#X*&jwlmIKJfh5VN&~pIiGa8 z!wt)lVH}E>`v*Ecmh_l4XVH&#cxp;NlXCy{(yAiSaTD_6X(uYg-kD)|WZ%xjb7r{OL3_PD8*1b}gO%hcJD&e`~yS zHqunk8gittam{kCi((QQt5X`i$?wlS`qJ&;`$G@PlW3?;^bWmSHJb<662s0tr$J1d z5n`rb##r&ALEzqOrkP=kWN5;c#Cyo&@`iLZ^Y!xI)Bg0n$9^u0FiN^_B=yH2Rytpt zxINnK0pktnWJ9o;Uuvol7FZOam2Hlu;rttou#B4JGdK_ZZau(WeP5)V3iYsPGk{m5PgEUSqaLe*@!9wKaiOis!F_SoeE%MSdIo)H;yQ zq^=xV5NO$~pg#}$(Pr1sb(h5`A$&!J4@!0JK!Ib@M7*u5n~}}4Km~iR5^HEJS`_(z zcih|PS`;4-NLJz*g3TX?e8$7?z!rq{n2Vpt~Y1m5+~{grCT9l3SS&PZW*Z?=?N z{VpbdEJxNJ4SXM_6(5_IA#b4-oD}ZQ==YU)rlVKVV!lJb>zOkH-T<$Z6<`_igQ3w7 zTyW5N(sw2LJ}OuK)izRw8P+V5kl=Gtc`n8*aCr$&%~%{%L|+@ZrBd@3Ie9+gcwC@ji zmMXA_lna9!yhG>kLHH4DqWN`J(gefiK!v?4KN44y9zPCvEwJrzp_`lASd$}D^@YMy z@WWmp6#y|Ycy?33&jQ-j#QNb8^n-+pV;QEyaui?}t%1vAlM&cVf9xBgdhuE>?QW`U z_jPjq6{8`C9IiHmVU%4w8SN;0t?U`Ej=X?~$dfup%H+1d|H^EBc;RKyjCl!Qj!o`* z@&whr`7dCt6!H8Ld0XX_gHS;-Qm{+c1%eMaQ#6;2* zafVqr+T1)?@5paGSX zzd-4>{Gh}dhL%~L#iWyTB~`RWt!#q9taGLT{9E;$`8h)`qA;)7jC6Q_umX||wE`6& zKWL?OFxmMtgk0=KSm32>Gz`#Rj?cjPSHkrkXk!#T^!%gd}%e?#;!{qkHr z-WkS(RWw>vm`zoZvl^EYU=1*~dkoYu`8Fn%oHj2w)I0LO zS^(O0&ls^93BWcDKjQSFu3qB{A6;3+er$D1*s?$b9#OmuX%t9vi0CO`(*1wEeEwW; zUlcA?V$jFGmkM5hs&9?O{6ubsih?l<&umX54(-?Yg|qFKdn-9_zqE^xszYBr)%OKD zDSvVma;$(}-`#;{f80clkk=-g_w3n2mP~hy*h+7+5t%du!_ejBHoLFxXA>83!qe98 z;v-Sa;OsRcc%Dr(Z{p%Q)W4YmGpUOlaHE|_WZ;89453m+^S&qM!+LY_1z`sjK?NV^e|~z0CWbdVBisF_lLg~WT6Bi6*Qn~u+0#op3{ z*!zjbr~FH}I1H=8Lx6tbf7iwy>cq#`24j(`$dgFfN3`!Z9o?>V?b@|ph5!Ej{j2z@ zO)!ccR6Wj8s%q)6A|_MOIDfcPqrwBhCN-CskPnf^!uXPEJ?+pas9&BvG)Bo?4(MK4 zFKT9*(Pkee>Zy}GQwAxAifA+rAsR9Yp$ND2i8dE$j(}tjJJQAoz5{p#H5BLpv^SjH z{;(-q=j`sbr7w8yg%eH^de9*5J{g>mljKyK%|Z9qv+M2>;-Y17gjkTw;A9BH+)IL~=2$z^k8`7{jrYDZANsF|atqya_oV)^zIlIh z+n7n%-z1@wf@`-t*KOy4Qh{VEmdv~fMc5DNXoW=A{!=^qgkJN(=(=CwW`6 zZUV8s$ng+3udvF(q1l^4D+@J+??S{P+LA4qjCB?pxf-MWjs~7 zDObM?mivTP8VB&#q?VvlF5k&x!&-it08nut z+nDYh+8&9X+_STLIIXi|JD(u%%0%=b`y>vbOCL#MfZcpqnu;)+6U2!&~S1u29G%F4+d1UV&IBSn!}E=V(U3fULyc@wcy)k|r(~x2e60&d&Y> zDRnb9(MZgRA^?%gO*>QfA5&u)YrxnWg`pN1CyJqp*e(jwg3Rf&Xb0WDe^aWGv!mhN zIjJ|0v^mDlK)N3WGQOyaWNjMK&2Ok6w&gik(np;CW{|6tO_8$aF0Pv*dG z=*ltqS0&|Tdl{~1BJx;w3m9ryk{|Ru?liEal8$n9ffI&?et2w{uVxe!6tvk98b)l= zMmOo1*i!m7U(WaMbT0jRZ9J809r(GzuCi_?h|WMQ;VSUPmC|7Ybv@YPm3TFCHH4kZ zw#6K2j8E%wK;}Ljcq}%tT*T+`vnV9J9)Z{c-;z*>i`66KeP&;Iit>;agVu*6*`pNQ z%e3sy7d=Mn)>p0WygQk6YI@1_%9T2jRE*HhA&h;5z2gqNfjNRe`3M*VKqQDIkkH5o zodMMMYkr*W)h^n5+V>L?1*AS+gei0sNHNL(!Qm5(f8)=uU5sFW4#CxkajQ=_xxNbj zF+6|Gqk!>P{5zsA?m#98wkGs)wm$wPxrOIE;8S(uz9k`fE4Zo%N@4cf!*YI!SKfk! z!pF>9^~v!?*6fr3y~7|+_~t!TQ|nIzESw86e<(J3GmO-~nxFD`Xsd>iK}jqgU2`$Rt0rWrkBNRHB)I6ixK*wccERbJzo$tdt&Ad_`S zzpZ?*sx!Bi)$h@xtsrD?!}&LYw4JumyL4_p`Y>EvMD-ga^(XfwBpcb6IXIe!(qz(P zGFse1li^hsd`6kkwl`>2<#2i@YxW{4xIR3ZIoD4P^aya~m+(*4J)H85eJYlvCt$$I!zXqRz8!eZSiKfdNwTsSqdjzNp9i@rMD`COGDzF_^zB!p?dBdV2 zF^&Fhi;@_5k+ZR$XeNoFw)A{wO1 zz;d+d_z-9tR^^F)2@89qqkJ_zfq04F9}n{+sVh8sUUWG$m*MvTW*$RC)HkMk+wZ?? z%ROgQX_-YFz6P2d9Ae%|t1EwIbls~?uv}?^be0DQF3AuleZbJPLLAEs(4W|{h>r!Y z*x1B`4Mb0PPGART>SuXA~D4$bvYby;x93=Jpc`d8Av-IUmEGq~9 z8-(e7^MjK!l6(0H%9NM0LhZ&EgAd3AiXJT33<$g-W2*`ew(ilh=ccO{FW)FHU)5$% zuwzDej^5HA5~x+S+QFw}on2TrnH$K@7NRIe3+704o3_0J<(?iIkhE_XY-qh$m|dwc zdHXIlP}GD_!_Gp4hSs^I@KD{cR3{O=`T2FgnzGM-+Czk}wjP`_Ql(1 zU}V~D%@BS6J{`C@Vu@GJ9)WTKu>|Dg_B@gZ?#~jm3z8#uZ`VH#@QK8nVf?*t_Y{sQ zO>1jGxy`!aqYth;+qk)fypT8A&~Og`g@r`?U}Zr3WXrIDEs3{qjR$NFx0(&m`ZNCBNP7fXe!7<-$1?m>EK~ImHgcjMO*@*Xx4a!;<0Lft z=7wtNLXRJ5Ngod&9sm&fLCAg;@2>e-s&*-)Bk4?gb+x~E!t>|PhoD**C&nNA`w&{q zY4{9OFy0FPyu3UMK72E-{f`OhgLDAMRwm2=UZm7-`-m|ZffVm2y-!(TEg`(PZwFl&nFl#7#VB1mF58m0^39WHON)XjH!P6m6G~P{XQ^NaeNIMj^F4 zxa0mPkWJAk-enIGY5+~R>)lNU{?1b2V~IeCpnvtQPv{~03;itV`$QsVlYu&S>KL3V z0mmdrMRM_#Z_n+{IMWlEJBP%}m+v3#y?;s9T*4|q;p@`hN|&-2&f@hb&;kZU^ zAe?M<$O~v0gj;h=D!S3ZiLO{u8PPAq`i574G}xzI3t!0OfZ2G6v#&h@Y;`P0g zm*TH#3Yi?d1+|oYo>|1-?k7P{O(aF93VLqbnYkQrGo^AZ<4Rqqv!khH<*K*|S1TZ6 z;z}cHG%tAKw-lt_IV zhp296u2zcFWPoHI_-_mTt^Hr`=O2kf2n_bHAY9f_EOF>7dd<-aPkMK1JpqJqXpqB< z#MR+KApuGC>&kEfk@jq)$~0V*3J(d9X*j-}gI{a18W$j2=r(2KDEk5%W@VlN0D0-| zehdWosECaPl^*L5a);$qMUs=0*TJ0Qi?Tu}@UpFG+|~udGsbZ5K}^g|%z@Tu1;dub zS{g|EXARUKHmYVp;8=*>7^k8_IzPK#@|@1e!m?l8Cm|qw(Z=@3_)Y6WL+@C_1Izy9 z;GMcTdtYjw2VtXR=fupOaxbX`$fXq#mP~k{G2pRzZ@3@$TW}hJE%G<=T&di06mUgb z|5gO@=4y_AJYG>mL#{Vt+U?Lu4<89nv*~qZ%85Bdpey2a+w6TC|Chk_o*p^k+qaLZ z2bbfCi1LCAo|v>RjJE$Bl*3S}1fiJ5;lm*VJZe5k^BMNPAIb&VHnCpTLc}WxeSrHt z2`OiAM)B-iYXcHY5nhsKrxAHd(7MRg4<9~Eb>#ue1qxaR#DV6A+}Vp>05jTGL7|AQ zn+9m0mSJpzrU?^l$eACBT+0JANBc++L%oZ?<~ z9sk*{f;Jm`B4m8QKFaW1Ji2ifkjds5yWi)&4BdsVYiI5A_Z(T*YJIrm-~hz|FWWHs zuBx$-0rs1KDUUDhPk5A_Rbu}6*AXwni7T# znp{@+SjD}N&#$=d^d$)017N!>EGc<7ongfUgma0s_+I^fifjv(UT8sJ0#LX#boG5s zafYMYx6ZZUpW-89W3?3S`l(mViEpmr^hsv&aX2z8nfL1QgTDS%+7s+wwtx5>Ipkc( ze>f(H5D??l?~-O;S4h`b@^38Trpp13kXeyaV0nXvwxZZA?eSyOwy+=+m6G%)_E~u7 zRRF+{1D?6(%GJ89oZtxXha-WB9nzrPea}B9s+kuFmW$gv?&;spHRQ_DEpj?0G9~s( zfvxJ!g{8MqXlJ`nIMF0^e|-MQFz$3z)FlI?AUr*uhCt@6M_w|4LGXt&+X^0V^Z zhrxcNsbsEuL&lLm(29J{I7lIHd!gw#h9g`6gpcocsyW!e-IIOU@DgVHD)Wv_{rDgK zFWMGXD#_IuXBjL=X)U_`hAF|O+cVM_<$}IjPrlsuaLcwgB->_-#7n`#v?~b;&T*!n zHyy-l4;S!x{US%=sYQDBi@d9TGW0Z8Jq&;}V)(jY^UGGES4Bh8o+k6zK}g=W&VU? zfUclX0-RY7Tu5hJ|7j6!z=Knpksj>}$!YoZe>#TWbKHNt-yO2{8kER8d4Aps#94^^ zO-!k{e@I((>XChb4+#x}*v5eJ1&zvAHuYhfj9z#c(F5uBgXO$A@jzyM$@>w~7h(Qk zf5pqvMCI-EEo~v(t9_i*zfMsSD>lteNwW)BY0rKBxIg&cKT)~O9X&GE+4TEMzD)X> z@Ges5>FgOo@%A*?t%n}5+E4K&ze&Bi zf-Xg8i0PAnF+$vq)s`f>YiZHr)APqWj4|*1*m4e^H=>Vf@I7M8zkwWi!K+Acr~nSY zkeGht$;gG`b~h%ZVSq{z;)5o*XZveNT!TYHg-*G@JkA}86V@8|73mDAu?8PLcW5N; z+r&f==Hljh_6&7oA#a2Son(xva%te82fi0HDuLkW!)58Sq}-ITwzd{mVf>r%?GzHB zQnzc%`gkjDY&r_p4ntx8|MPrIW*Nq#mD z#&kk7Zm;(-z)l7QKdIY8UeN|e36%qi8~JiaUSi3_F6oazPuNVL79)`fdcP5l7w>hO zM@g;!CDukVso*Lzu&`)0FwPn+#DB%(p>SeO3akMPMiBjVN}gHEC~*HP^uUDO#sA=M zCN`JfgNVnV*)7f;NE!sOchRa8T+By^A;-pzQI`71+v^#fKoWFs?m6~ksp0yaq^BHy zkc0Cyg+F-_4|Y4Sxe9Cn{&^(yiI6R>7Q$>76@DY+MoCumZf}v2xHvsx2ng)i|6%;RE$;Xv|ozC#+}M8j?yBZcX-E>Gr^x&9Uuu6yI_VOLa}t_ zE%6&$4Y;yon~F{Eqgo8QVZRwZffg!&eNpwuCezz8P<)y3{~~M4Jn9gAVx8SP^hXbj zZH95Q9p_r}OvpGNKYdE zWXt+K&+ESL$M2utfA{CQ?u)nceZG#@aXi-nmWZHO32H$gij9qpd~Yw(1qS$TB8=Gd zNn_m2kj_qR=o!e!)^c76Uwap=J71KrZA&5OWG^o~K$A@bP=5OlJ(~ z&90G79T~!6GFkA+(Bk7;A-0r3BS+RREz7bajVyhgHvvi#j4mj2H3_9+i6E?q?Fvv3 z&GR`Mk%0uS#n?3fZ9Y1@s9S2NaetATx3z7dJy7Ol*B}Ud0wYq)*>@i;sAQFY#g?9h z(ek?u+jtB41P;F&D{^^TS#LoUlQq`Zhe~?W1ApSxo`gOPd{x)0UoybuzRQSW+NGnw z*`lK9QQz&}Ny#}hfFzIi12hAqz?^oH_>)23e^iboC3Aktx?_j*F5SJJ|A57BLaick z&hs_)vF3cpPq=B4Xqo@kxB9OpA2T|Tuh+7nj0BltHCu_(dyt(2^ogsjz_z2yo4XKw zvW$&!#0d;ef;{+Q$%hcOJp=&*WhC{b(9d^6#%1jNWdvt~9DWug-1DwfoOvoHW^k5p zaG-bhQ%tSJiZ_2W8x9Oc)tejT8hyfA*#i2xCsC$A4uS%8VAw8zQ0s@(BQSQqcl&3i zNeNh^p?Y)OF8K>nVX+W7oB;5MD8NMsAHD|mN1$aL1WkaG_zw720sb)P#*iqk+;&y# zSmd5b$d>9gJfS-oz@YNNNtV4g`|~Ku5|Nh*oq5YjH3r{DL`o_2LVI3vW2VPaKROJH zBN1k{wn3P=YayA(wK(jF{)=c_P~;p1X6g6rA-xlOu{(|ZkKu%49H8-e`Ful!e?cDNC-QPE1Rzc zPSQK5mbk(v90IT$m7obbJg&c)wsgDBQFrk$S%LmzoJA;{u!`)_cMuPcw9-`xsV>Fz zI^NBb)vzUHrIV6Q9Kqvh9B{ghfEs0i+sN`J7;aG!3^*VhYw%uU3p`EIPdxx{7-KXp zvmpiTJN%)(usA)L9Ivo0ylHmtXyF%75Al5dh-;Sn_ng+c?gM(vv6I5Od+^O2ztJsF zSW_oN_N8a;hgb!AG%o3^67(#Cw8@=lJghTetx6Vn*QJ=x~`TxphZ~xiwyz zx8f@iZ%J$>+_bb~B{sP=Y|oLr38@?by$Emgs36TgZNK&~O$gu0>^58 z?=V6rX3p#bdWTT50Spwx9^0|~cyuS{XwUQ+WM3(N*0!U*uI}LJ)4hCZg6srzShY5* zl%(tf1p`@i&UjVAiBB6=0Hvs43M1V5-@p6)m<|FdLoD7wUX2{qAjF>8{*g@@0=1&Y zWW?HYEbjaXi}VYz$FDIT%i}V{AtU<|Bj}5b%Se>HV!uwTVj)DeqWKTP&6=G{!+}zSj82=ucGQFx{^tZ{dPrH4)WKx#~PTg8IC9L%@gX&6*ef6fWlyE97Gk+uW&7h zn;pT`L9p6E-FHi~5JDs3ZtLt^a#ktSXKS%=9m9xN5b(GVfdqqk$=*1O@qXKXpFev^ z8%RL>oHUqAfo#ZII-Wf!-rM@pFDK{d3h9`DfS+LwPq#JUR|Cy*qLM8ZEP@|*iS5SAzPf^EJ$-yPc)-PD}a2K3BSE3v7RvxJI*IxQ^=|4XznH z(*#sKRwb)v>=mf-TqmE;!)v`lPRxWF+trY{CxaPA9Oc3vlJaD1_3lIgB>Tx zrz(+j$z|tcc^$TugwXwvx z!rb^d;%C2(m21oM(!L{Cv+}cNPbo6(^=)VJrm#Fnk|Cp;;&_1AX&Z*<@(o-!F0ou@ zZX1H$xuP8YiX3tEpL$7{xxB);H|G7vD87;J{tnbH@bBzcnLj4 zF*`F|d0}C0K7Rh+GsRSU7Z-W-nZ!aZLW#!d0`V5O6s8hgEk1@i+EsvJb%z6X`J2vf z{Z+9epYbdlXxCp~hGRL2p#st$m^jZ$y}_EdD;7puMEmXJxR-2c_(OhR~Hb4Ylj>JE; zK*Ce7jyQXm?qK{T7DSz?{Xv7&P+y<;=8a+NXIEGX zi7@OY&n!{P`ik8_=*=6TVWeDiusz$lB+#>Tu(?L@BN9`%C1X9Y(c;OgBil}mP$cxK z8vt{PYFuIT1ZG1q*#m*Ns7=q44)KP*0#G2jlA8?&>l9Aorae1N11lwz+52^bI#@3G zkE*-BtJT(91&0*;IW$e2-r5YV4wRTZ_eEJA?-3HX=S&rP!4CspXus?h?(>{<0TYB% zuqCa8f6MIhHDcKS27{68CCFE(e2V|uD@&{^`Br9^XYsVj+hV^XznYR#N3W151r*BQ zKkfy1_v>kEGpP_2aDmo#G0OMfg7c2o#CC`>2?ugf<{+aVJxe4N3qTJA@gUuP{rbh+ zdsjuYQTnv*q_963wYXa1%AM3d>OIWHyAGUorp2YRGgI65O8KFJYm+puUUgPn>>BvN zc%kam&Q0dMz6x$?kaIdRFzz2+NuT6+@OPnt=BnJotv_jQT-M!ZVl;B?d$**RYb7I1 zOXi$VIVbt9V#VcJs^s(jV=j!kn>y)jX646L;*VzR=hQ!m(fdxllEzG-`4s6w#4W9} zfv%;ywVf*@2LNzMfwoG)XMOlon3E% z8Fn zQ!a)R4K$Rb1lh@U>ej&zjSzVzy)yq{je%AzJ6WFwq5aUCA(96RoE4BJWT9~hifCYK zCcp=XO_vzjP!s$>JOz+FPaKJD-KPi`(u8oU-p2kd!iNBI3BW6{l-W)z8AUxeHBZR|eob!mk1$gTvyK0loGwT(09t!EYSA2@48==qb`62p$eydhTM>dZgzU$YZ-# zJ^%>c#*B4p#hZom|m@=iLrJ;dvl6;J> zO*Yqp|C%MBg11OZ29C&jJ`B%-z|A6h*DUZVjM`WNhTQ{f4|o=_fsyDb(dNz?*|sIz zjnmA=x9s@3LS9M3kpBx*wK$={tc`VbZ?S^dXMJJc*EZ8h1fppVtEOQWX%XIyEO_tX8OuTdJ?@UE?0z zq+XAX_T1lG6&>C?{w>7>?e91-IFsnacjP4;gESh_&2>LHYF=&T?+#D1J)y6w)78I_ zA>Z7;O*Ow(QsW@BY}*aFt1>GdN$ll6nf;;R{KB3Tt4ED(X-37hLJK(YvozT@ZdYwka&f$#(wT}SC}NsRr2)Jz0oRq<%Nkf)p0 z@!xED3veLR39LU)NzetZtMEp#B<_A zWI<7p$ZKPTAm)0oiK@ijvi(8w?>y(*738OpUBo}OzoVn0X%k!4J_*sh!(S*u%_t!B zTB^80(sky}FlhJl8(&}^Z$P!1lDw~p^7|=FPgk|)7BJ1Uq@=<7zp!GU8NI9DTAbL8 zX9+YHQ$L?_yH0uxT)c7ZFB}BT*k@YS@*yiQA}%hMHyNK-8M~yEe^ujF<>BKSzyHAk zV@C}jfv&^s?%s*mE@S0V9Tf)J*ygkI+De2e(fk^4qV`2Tkl2)*$BvV7~N?3@f}ytwc33JPBgyjXxJ1W$-vLp*SL z%P7}BFLwy#EB_&*n5vIA@*{1qj(@vX*;DMjRmQzGR2(CpeEd273@7|HingEu3;~^o zo1;V?YdN`}|B5D68@2GXl7N_LCl4?6Hu)RB=h@e#q|@k_npl585}b zMkO~s6RNqgRXI!vTSKp}`Bf>)kM10`YSL)v&??gnS$8fqG1%84z_nB==f$Jg`6H!R zr88(nf4K40+XhRoKEG`uTAkg)p2>1Q_LHYPhEU9L`*>Ag&k)W;__b*ruou3aD;V_i z-kjngmh&n1RKGdCFW$!Ici084!N+Ehk@C)H3bN22hDH%kEDrttr}ho+=|HgPhy^web?Mfiyw8UCXkeS!vnpL_3vLTm}3|` zc`2JFKi)x?02|+fR&`34tekZt(atoO$S{_+G71`9=Dk*l>P=42x#Mnq|6}lDrjfY- zt?Pd*nCkM5=DS!mmA(e>16%H$w(3T0HJjX7Vrbho7``h=-mIJ1f2ZOi=PQ@r(O-w2 z~pWU(h5uGsP!aGyH1ipPzzll5_SoTBU7=Jrl0qO)q1k%g4jPp^P zx;36~I~J-CyeLgC)@-q_glD6q0k48AfJ~&H+{aaV_5-!n+u0}3(?7sDKr`#^Ol0hm zV!O&D2!$rvIKq$U`eJnG(#`24Qk>VV6Z<22Z<~LB9se+JtWG@ zXiooj=^0afaKh$55~ZdS;4&h7WEcBhYQw*y`yvL%Dg!d~S}DSL?kA~D8!$1Q+CD~a z_qHhWNY!&GrtLnlAuMI$L#BTYtS#8@3lrRAxm4ymPw& zdhO=0YOq@^>ky`Zpg5i>xwx%>=P|qV0lcF_0^&q$%&`YhxSV)(0rUP@)F>&eAtly8 zAz=0uHh+)ZQy(`1)r$lTi`KX;ZC)}+nq>mA3cm9$Dhe8vrj?)O+q9z)xv>=w?LW06 zpab2P#0n?E>!#|3WKug(!`JvPv=0;Rd=N9RJq5E$5MM&&E?%dIeWW(X4*@b06g0FT z&|naGhg5BIgaV1}G$X#ayZQnRSXrSYb&Ckm0C)_2e&`x#L<$nILIbu~f^@+Fj(X>u zq0WbxSLuUD_JqxbUVA;FL5IjqcH z^8~(4NkapH(#X65U;^whx`z%K+QrECbIA8<5`!3)RqqEbA5+ZIg!>PF7^t64YGUj0 z|DQc7q3`+d$0P5AQVw|5zeO>EQ;38S7NR4Eg&09NL39!M_E@|K zD^oMo_jBbIMG5if8U{d^`o8EwSNI}90%w#+zV^4W(R%PlgcFl*`G^-m zbJ+UyXbp`cx~mueatw<6+dky;W8XDs2^eVrjqi&fj7w(NIYuP9ll^@Z64D4;7!i(y zaoSyJWD4hR=v;4` zrv)Y9ZvxfZG>sU5LxO@Kuf#A?AA}Uo=9{G`^G=n3f?X$p@}pS~lTf#$VcDwU_U>@; zSBFpCg3yTqJYfyiXB6lPRb{o=I=zYtA5 zWnv><)n3B0ih&f`Nc)EC_yF%Endsvgx=NdJ!Oy{prnfQ3S7e&j43vFLB zi`i4Dn3zTFWu~UB`1m^0)yn@p2(JEt`~~t1Kl)LPT@OjFwL86j28435dkW0HvkyJ- z<{cZYiJ7hu=}D00XL-hoQxE_CnqU%Opk=HOcin#-@}`=)I_VQ9zGQn)Q&Trp5{=>h zuA+osA@ECsEiTXq>Rn+A?q!RCTvNHq`2FwCyMJu0u0Wv*|JZ~S>?JpM_vi>cY@9K; znTT)c6B?H&M4*b$yb~f;4BkF>ZlTM%>_9 z)lX+oZlb?7-alj6JyX`J=jQghW^!B@9+4G2@Kj`AW!{u`h&C;8KpR2u6Ux;iFF#qqvoxJ-K1IWFr;(9^ivoFm^)l z_4xb$^J{>_`~3pErk_`(mBxtN9hDp$wS5m z#-*@Fe80p_T3WHpR(A9;G}J zOPYPq$B)!UZr2+90L|*VpC{8ADPw@{s%*5r>D+4KzVzql^X+&PI6M5|H-`YoABPuq z+`_Qf(zMvqY^1IAx}~bQ4ob7A*rKuJ?78hfeo}vCOv3xh{b4_Uelt6$h=(_cg@B))lAgnt zA#^7=`d;eL)h{0t^5pe!6}E1KI~lCcE_r>^r#cAR!znudIFSK!*6r>`{#qI79RPSnU&G~6(u}p8HsQNh1-gY;%Njd$sql2@#e9%PA z^6Dht0XA0W$*Fs%(|$euQh0t31!)eZ1rgHorle=r+xhdYVl$|VF3j%~QR)mf5cu`h zhTb_xN2)S0ybQOW(|9S4_a-Y8ryo3p{+$`U-d_6Um;oR2e@=hKisJh!%8&B{?{l=> z?8E7I*5#%Cb$}ooPOs-pwv0gKX8GBfFc3q-q?D`jdj>fdgun877s9D23E!RrcWSah z9xh(F7wFgMO~F&u87^Xoy`ZL+S5N_7wFZ<=${Sm-nr+v@*;dhYQCv|Nag^YF@*-1| zo=E#Hqz@*+F7k=0j&A>cB0d^fHEV2lzat`akL5H}+&oV=If+=d(slg)`P{@DIS6{L zb}r~bK707^qqRQhph>w;br6bva;ei?Lr%*MC8oh-{s!#-=>42pGI0$=({Zf9gg1PW z7!RXiC1GhELcFWF04CeY0tiSRIvWFppq0Vx8mEkg!>)r zv>0lb_|8;fm=j0-YWMg?>bB!sWWdvt?wGA8UP{{b7K133F5ba294F5*)97{c_uAQ= z!}znb6E!7Kww1mj^1y8X#G&mDpTKU) zUUK~WEW#80QrPViwyCWjwjVJgk!{oXETkL!Iw8kHC3P_IV|s566jyg=Vv7DVi%&PWCeDx%`g=Q)-C@Q7L>eY_v>B_+v@PSc)+Bo@un@QLb5mHU}6yMX)L@#^0+Zok`fzd)GFNaI2^-hB^JoUNq!>3(Cu zpKO5`&gdp5Fy;SRk2h9h%wDZdl)Gd_tbc@5nqtq5Ek6Lr5TQO9xw#G4n5|+sIfBSW zY`>`o&fNy(AtHWa!pkIX?E-3y_0(v8pl={U8W}igQ;Y|Qb{zfwQuietTy?OQA0mQm zBeOD#i#tIJ21u6y;A27;K}3W-aP;#E@j_TNMdcx+nzcjMkGd>douvD+088gcZ=n~q zwP(e#+C`fA=reybGOxdl{G|3vG5gzgcZL)MIY*bdd%hW(_RJj9FW=CrW}ib}_~ZIREA00v@5t3vxHN60HX=8A2H68zLbd(GrJK%!Z7~MBawFK2(;lDoKZ7GU^I=q&Lz4d%bw67l)B;UqBu=J_^R;7Is15R??d>ljNYH53B|Hmxttm zFb5_$2Jd>)Y`{(I1tgm|L1H6+5Tw$4EM}iTTE_or0g4@M(USV^us1wF^ZIYcSR{^a zRHOCQGve4QPSyAuQ=dJQ>1QQ$VJ|MdbF&B{plu|D257yx-Y#gOPPeVf!8+UzbM1hl-j(`>{wDbmGT@Al$=H@b)+E;6Q$>lD74Bmtx z-2U4gsnPOtb3SM?esCSQ3`nC#+`kPkK9-5RP~U-hXaF;2XSu3nT+-7B$TaQaW)~K? zi&=|l;!odJRcl&7rHt0LU=|3Xd;7yR5Uv-{_m@)|-o}qvceIEFoq=sWsiF@;D~nvR zjnUoELyC-Dsn_$3zS>5=d-vO@OVu0yZq%$is%p@_X?HH-YO&)cYP`5Bb_GjM>`PS9 z+jtWOWeqvr>}x{plV3po0tc-#N!n|UHl-fm8nM6}K3bEeFmB&zU&!d8)~3cEPi*Hx zT07xIht9-tHa9CvczMbbNBW*~c5W_@*CNUYArvIG5mYS?QiC%{1_JP30vO>b2oZG# ztR?!5;?`hC^~F?8sDT(sGf2W6Kx;#~<(LEh4^coIPJj(aK zSikENJKz1R21zXqzjW7N%v`c?l!+UB(wQkVn?B#MnYTNTl=3pExvDWZVh-B|wG-QP)#@=~x9&+ktNSXei@ymx0{TC!jwb`ZW^Ow9 z=g-YB9esdg?~gZM;`0MN#8m88k1d;ZZ~$Vaq9o^$xleQWAy?xb02O; zNWC8*3;~oIw$pu}HxB+>I{>oQzsvesmC2z)hwd+343zRf!q8dM0rouugN##e*{|75 z+j%gFSu;GOMEh*R!MAiR3J(ico(UAKHifnY`u4!yi;z`=EJcY}Zc=Y8 zc7T?`J(n$$K)8@$ye{~0@Zz1%f_%H&V*fI?0z$l<)dDSYl$vy4eXXbs>39Zo(g&a$ zse9Z~(-tXU<~ zxmWSYjgte$G>Us?`J5_^cEzfWMNnAbvl8imi?_j!2)WLfAQq-z`seBj6eC18bbiA% z=q(O9(61U3AoytzeH3I7KIZ8@)x#;4uiZY5-dkYCs?w4gk9~w_glvFb%Bt1^Xvka)8UNA7tQw zCs1fSfdZUmxU&+_o=h3ywIi(9i)Ed8$w^65qvsE3UsO#o5Mb05w`NWvRyiQ>`LK4z z9Yljr&1%N&qQbro^D0*{X4=Q{hwxs95aL28O85PFI?SNPHzPIg_Vw+#**!;>ULSs7 zl&4n_?(^k^gp+oobzgMreh99Q{JVd-W*(71tXa?^6BH%5|@;AOMMmze1TaN z$D@=H5AAD|XJJ_3C>z=TvvB+WIC=4NC~)sJ;MUan_y_hN`VaN{p?B192!7bJ*4@~c zUgyktR!VSL1lJdl5ClN7#=7Jxz7b+kIRFlSM9dJeL73hMZ16ac4H)_lAxji<-YsiY zLuTk!IH0bS^TQcMEFBvZ_Jph+XpJ9AG6yU?_&T18-C)!@fKbn2vyO2b@-t8|2LRKj zVLQcuS@9l%H|Gus5Fi>o}6AK~FGJV9Vb$x?llc%MJ zvgqsLn&XI9zGv43Rtc$nXWUEgv|FlsJ!3vh7E#j^;yyGulFD?TgIv7zsLWu~5rK?v z)3*!rT}PxqoL@z?5n>J^oF=AQOt(w)kx7MkJbxU1LE%`O_dhEEC|!vpH;lDH*FG@7 z^|TwomGu}S)L%PZyZrWya>|}pLkAzS+|7ULy^Um=vnaU1Y&j!Xvnsej{w{oWop6lT zR0r3XB;Yb?gSDRj$dSMu)YSZ^PsiX0$pIAQO>XD=ZcN{wxjER{i0jzKN~xi%v0gfm+Oi_Lt6<}xe*Zu4j71QTEem`6~EeWyhz&A9QN;)o@ zpRG%@0hmgACO$o?1nt_X)pEcAJA2=JA4?fNw+O}8e9P%+b^MSfOHobi>?RzI$YZNp z`#i9@UPVWD29o4?_sXAT8gX3lo~Qs*mjMj+6g+saeR8Qj6=Ta2Fh?uP%j$sOAgOu0 zPyof+$t&LAsIE5RAEY1}@UUJk>+3gfc3k^Z_CO&=1nbo~IpKv*8jJJDt*fqf{hL&~ zJ#Y9y*{k7SzZ5}*nfNG4xw=Utw_9Gw`=W(6*Wk1SBD(4u8Z?nFg-;r0l$Q>tFm*Nm zpC6}URcC&DTut6UjOqR9EjHfwQa6q)ksEy*o}5&YPY$*2%BpX1{_{NwEDj!-ys9+s zv16*^hde#_ZNofsPhE<%z9tR7la9e6UnXFL?3O^5kN_KR0}$>ygG<5TT~jgt~F7#k4VGu#715z47$UU$JIROl)H9YPCRmms`S-)kD z{;6|nJ);1b$sxR65bt-wcJG2cni20pcNz8Nm9T==EJj{LdBDrobyva&CP zK=_+7po>1=hgVYH#t&cOhfklhy-Jg%xD_-sLT7q$b7|SwWFOpzq$xElK288W^R2*a zJCequkpwG)TjuJRoAHNMsa1hkWLe<|u|C@p5B5`g&O$t9;;EjI>FmX5W1q#Z77Tm# z9Qss7OR=p4vE7L1Z|X)z_J#MYxP@lmWP(3_RnhdqDqY<@j1Q#<#C?aj+Mjs}NcRfbVie)c7``E1OwKTF4$J!`*o@Tll~Kw3an$ante zwBfXZpaAfrX;;|mH9-&VF0t+H?(X}k8sGc3c{Mt1=ay2pA2`h8XgKGQnN#36cFk8r z%9Yzd^Rnh-{HfUBD?SWs;a)R~2in3k3-@jO{#-5Px>;|0msfs<{_CmBRy?jaa_(VY z|K<5MnLE0-&!4OjoPkc~QkMtO@{0e&)k_y@tLX*xGBcE9qOLzcNz9DyHvriEQ&_2lnI?ic)qLFA=kON zIV%)1f!%vdF3sPDIvBDGo5=Bqw|go;n4}|CPCZKaT8{)IHh1l}b#6QRH$yXZNBM2M zGo2`AS?YI}+d$ArcBf;(e|0Lm_bhESdfl0OHgM<;@+I)Cg$8QLxEW7jQ44vuN!AzoL+ zg5h9?L*OWreI@{FZ%&(Xy!Kvqk48FZC2ai+^z=ywwUN>xj~CH8pl`r(FzXp`(VF0u z`_*!s61~?)n!bFAB-~u-y;{H~`6VR2PKXZ#dPb zVv|B>m-SxCzOc0PIQK_v*d-eQ(S~+)(~lpq$Q3vy;J7l6y~O!LsQLBsd4^d=m8VWi zfh?r^YJN(sTjCO9$Ppae4v<7v2zwHk(Qyda#kiC*Tem&ZQCufe^FH#4-&>bx%F6m4 z{HQql0;flZUOl;89aR;ckjJX=QaMk8aPcNu#JQ!_t#n(L+(KraqMDi@U3*J9*tO5d z-N{Tykl_d+bdz#&P+Hfn;6FY2V-u~84C?Mx^W)MxXKGHT&Qc?_0`^Q{<{)jvgEM2* zG#kSBkwu}OG<`Tn5~wa#2fw!zefIFAo>Isg4IwDm+;P;D*2XHQU+wzCFLi%EWX5*Dp_a6W9AK6Pu{opqtYb=T)uxb~B7CY+SPu z9(d~As^QXiz1-YZ_s{iH9^Q1n`%VXm+Z<54RO%xu&GzE#7foF)qjvG~>T*{%ew{oz z8B#`9k+^UdcJYD}I5KS2@OXb|>6TrFDOTK1@|DDFGsHcqNDI^b{Szi$&`_Dp^#x}n z9lSjx8akX?P*R3|tf*qm;A}V2psXNcFyl-vQz>nCgWs1n`h(oBj0tWJOrPF{9JzbjGs&Kt;tX=2_phm z?t+s$6$dj1^&U>QK`NsFhETz}VW^1wU{?A)8q4b%d-2+bh(yd;<*ng@Cj*tbvUIe( zf{Xes1es}d$ z(L_n7O6~C9J!81McKp70YU5A&bOu0xR8B_M!cm8?`$%x{-dw+ZKK7c0MN#$o`g$hb z7;g8QxI|Fhw5IF;qJEyZHT>s~Dzsc%IpBD0x+<2c6z2VJf|oOiK3sKHn^{=%+pD2# z|ArKGvb5<$o7pV}OBMrC%(>|Y<+AbO_=HMg(^ajQcs8gYjrSw8C*pgawDLd=M(;Y;T1DQLwG#<=;G zahW||yMiVy6|j}mv(lB5VP$2vGvD{{h7OZWBZo$@tHCue9;=NM4(xmJgL12!Z)Csc zSWbXqbmwShu&ApWcR*NDFQ21#X3=gNo!!XwkfE@KO;FcXcr5Yux_SpWs&fV;O!xZ*v*t_Egwpr0*8ZO(~8 z5mgccLzdLDH99)BllC$_w`gf;Q*p%>tsxY#4P8->ela)F z$orY&j?x`Ir@3Vb*rkmfLTKRt|2eCd4d0L+e zqA!04or}8Vwy@V6CWp)eJ)X5&GCcHy)Ekjbfegaxs=Fn37TH2rZV34^ORwwib1U-a zki#aMHfM!1l*BQ%Ehsvp>qiHNCYMT;Rc;SjxGS~zC%7QF@CJ$`^*k`f8tB$ zr=ug+zqZ(zK&H<3&l3%|Q{XILKVIuY=MSJKiqef0;m3}YY~7a$I+-04miXMB=knnu%triyK)Z1;s4KV5T;0J(8LB2h7z3 zR(GUw&Y>X#MMq_J%OU1ZeJZT>1qF*RA_%nGi7^NLkl3d-GwaqlajV#}ofErjkKvOu z3z^*cRfHzD;|)(CT?ltnBcavwx|DUpC~gsi%BSlhSE@V>60bn-iMZ`42_RYwSQ6ke z_drlYfy~a~nN_g5q3;r~mxD6Jj$!3{@cq_)SAVlqxzu;W*_-?O8|T2FAA%J#TMtze z-hW8+t{e6e^&cQfJ0@K<$VB$M?}l_@BXNP5K@Q21*H`d6R}PJZJ{$)|ll|vcca9Pa zpjn2QVXG2o;-L3E;vB0O-9*c*o&0GECKj*f)%Ty}FrCF>S-Nk*@zwjpJW3BNOm&4B zv8+kbGIa(UO)+0oJEIeO`O3oOE7s%nxuLg~dsy!dpSg8Q{PnBx3+Wy0KXdP%3~+A>maW6*j{(t8>(1M>C~t z{G9N)_6m=+^0)>(#Qf3P7akq`??UT8i#-)N6E1%~S6}%T`Ez}r5BUazuU;^&zYk4K z4jE6E`za-k58M1Jr>m%F{f0R3E)UnBVi>zHPalj`Rlq%n+;I8pMNtBb)K@Cqb(qM2 zn6g&E*`dl81E37x^|~Aa93I_=PCF47Z&5WigY%y_p;z)4=7kC13+Cc6I$krUiVjBb z_VLokFW=uc0wIXN&LP(pWW-v+ zSTQw?Lf;OZLr;HPT-*+)Pk?>UP_UD4-~Mvc7Pq);6|2=j>k`A7TSo;1vU?WgyyL<0VrNxE{Q@g9&0L--#;iGS64!|ELCb++PB}4vy0RZ zsf!Tv)V21POwhPg(iAI+v5>>>HWC%%ufX~pH|T+)^D$43F(dR4k;6p`f@=K-&KLT( zEZa{;G58GH&kGf!9X!34rD%FYEry-xSy*l?RXRq!TeVnNSV%>^kIXtM5d*-A>&XtF zS`2Fi5HhG{i1gXgm|Ut*8mWZT>5b#a4gzt&EBbK_cMyM+S{~hj%E~IBo!E6 zzDtw~S7Im;FkW-5^RaLk3YAooBupG#OK}oT{`d>=o7)nI*G`?!sH~FgWJ|tVYAsj^(CM6+Zz?9dyc4m$&IYOatS1IlfShA^y zhmaM-AmxHZXpO;s1+k>C5sVFtD^eyYsXuV(YS+WCI5X)flSck&}Qlo+TtD0 zNS;v_=eC450YE*!^(*@L3>@c_E^8}%eG$>ohhOClhJX7$>ae?_qARAeb>w%j-8<`z zPQ+=*90u1D-o&EdrF*QO8tZR=>x&l!E8zZDz#qt34Ia8B+ajl|4 zGLgLs``zW_eB~vj(})L7wAeP?SSC>@{(EHPJW+|t8|+SgJ5mI3QN9PQ^WMow!Jn48}@>eS>D)`QvsqB<;#ozRN zL{?~`CF4-Y8bF?M)}|*o6_P}JeI7ETF!e*wu_g+O_O@% zDjsRa@WSSeNVGx5)`lA7J@3EclNL(le3{I|s$gR9L6(0Y*23u&o78M|hq>La`61>@ zk@z>E88S|yt(q#XdrXQplrLV?==_qr{PXD1<>xy?e#H&PE6*&l_4xl8&ROnF^`YwX z`K$L+ki&IzAIuH>Q{9nA^nw8ooX6gHhT^?WPEPz{Vo!0J)qsbl17>(YHf?+t;8gzf zlbG}iPr@UJg%ANOAxO?ORp{#Dnu6N7R%E2gXN1fSF21A2RWDvsB1Bo5o0~gRwE;TW z_i-5GS1xW2sal`yhK@4RU67r!#zy?e1&(_)36yndrSEYM`c9G=y(EaFA@0=QvcAkUlK}RhMKWE=psSc&Ji_g9wtE@13x-*;)6aOuJo68umV;Eh)*AZj zqowE$!wabB*gB#H!_ib3DCvUUn|K<6Px2Puo5YbKwom8l3;4QF&pZgICKL0GT)KF) zt0`3}l6CQ@(df*#3A}Dv?^*drMn^xxab#pujm>fN;{3yDg{UeT%U;7?olv0YYFMmI zcX@`-I*S8=brEFW-P+q5!?sDJTXLyxAUescZ2BTG*tqn{V57hU?i1N6xBdz6|LSWE zeVk{TQ!dY5Q;{pihQR?tU~9F93AbO?hR|K<3v`?#t|{GWTqxx`geQU97Goeu^f^7- zE{QeJoQ0vHpCw)|AcQCWS8cT29?d~2NwLWgNCA(`Mn*>~qKTq=zrEzXv5QM-((k`= zV*t0vuZl}c8@Jm5dEj|((K7>-$}2{! zNvJQA;B-BrlT|0)3&}>4bxGk{15d~=!(?jzcJp{vt-PjH6K)c-9x;nKlUK6=XB@x5>}TNA&24bo_vaeg!I;?gKx5lM?id z-0q_mef&@b7^8OC38nvh)X~eYp0IHZ*UtT)7CY#wIf13^h1rUv{v8=Nx&f8BGW2|S2t_A*48R5=SoAO*!!bv#6Q+x1nO-jHfd*iN?cmkyUV*j z;aaXR>5@z*uHI7u$-rBLlk^<7(39<&^|$TdMm8()=L3Iu)L*su?MAl1vdUB5i!-w< z)z*w++%?isKYyQ?k$4kR_RlVIgPQ<7w;bK5kN3rQ^3J+sE6KV$I{;T$5(3wV^?OEn z59E^}*}o6U6#-D_{;7$4S7O};Ai<5n?|~;hmxWGy1DDd72FWIH8lV`Fktri{=U1hB zwC(@GD1 z!p_eg{N%}#J9xo+E05V#L)LtBF=}!4HWZGe(tq=dixec}`wzi|w#DQ~9#U-J?)?eH zIHWfuQn7W{4veEn>uLa-rk*HEPDl^X4P9*we*CyNhJ8ay0kpPhBV0)M*mHOd6Y$`c zq0PI$TJml1K_a+c7gof$k^t2*VxCQMujXQ^6WvLbyEuq4F$}E{C^PcEQ!TpTS!EK>x?2pTppm_nDyAm$n=aN zbl)y#PM&tB;>hJko0qOFIT$nMaWVe%H#c2a47@?iK&Ph(>1ZQ1+U=O z1q9swgx#Um4(TXXw^<4H6W^6T-Z4{2z$F6Hn$oWk#sIR2)YEXNO2uWoZ3`%DS^Ui; zBG@7~dy9=TH3@u-#TX66J^NOC0|xygHDy#(T4~CrD_WEHpt_dbAYJnDz*DLfOiU^xaRRKK>xTc_ACf*z8Lc}VIpuSTH#)$A&~nuwzjf{~8cXbk#jY6D_BP6-K2 z@^n+)K-+YyAm=a}b6bJ<)rY5ybnw(ELk?cRMD@W-zkAd9_9l` z_h1#eRZ6ep$lQ6A+c817NK9`cj;D@(cEjo@hgpj_T==+=%j*EUv)QrWCAj%zs>`vw zr5$?@<7qPEfy*Os7^bAO_j&Uy7gd*_I&}WkSp$Zz0LPJj491N)*O8}sCMAZ%x;pqx z>U&Ztz^9PJqrM?}f>qj^HLr3pTB~prFbWZPsm!DIm}y1$fYhgRWyjbL{pqknO0$2x zQh!azs`UAfx{0aQA~$bRR7hltv|Q2m(=(pFQ@-C|{Ii>+R7^EF#XV~I>i#_>AuQV~ zZzb$V!SN@9@#qIm6>3l(0n?p`N@(?&3(qW3-%azS?oon7M^TZ1hy>cyn?E@YBoP1m zEuN?!7{{l}t8om=h0j{^Hq#T@Ws=)LUxnZ4!b`+VvoPO)z0 zxyB>k4ed}q^q4T>k_9n~`9dg$3a*adN35{9RBGd3T}ewqDu92DiTz;^p8qtYH{%1U z!>)`bmQHT;ll5s2X(Y9OFcpp>C|yfS%YvoRv9S&W>|~%dA4YOD1fdK_M+GQo79Ee4 z%Pf~{_}gtc@n$Ncm&0gB{$~=1r zN)+`=7QLF32a-+Jwc`(cnTaUob)yw8`KgIJWpA7aR2VKQf3$LO2~V-OX*Fa1oFj6WAKFW9=(*%cj>iGih26RXuh0Z+JTSwF z5B$Ubv9~o`G!v$3{L!iM9o}Lw2HPNU@Qxr0| zPk1_v2Kz09nBF%wK42EN;d|~h4eKgjInq)hmpu;L9{i|)YGI4)r)=%B+u#}jN6&bv z3PAvJa`U+BdMg_>gd#pu*uR16ljT7wNrqbmyuIrQ>0=YOPB9CcKQvKM|8|>5Zovvv zHM9_EAb_a8z`Ydk{`yhQSf|^!)A4=AL50R8sc;I`I$g{68CGty$6`{3(U{@o$@&6@ z@T?q{zRHXhE~Q8RhK_PBzYdFj;l_H5nUrr*v1nerMa4%yFzBO4(cyf{$oh4E&Xp3b z*T>o{MT-%A2`HlA^k%pjUXASUD;A2~3UCf`w}cGu7=w!Q`k2(_n$uRBZhu@+dPjGO zeN=$3%=|NpT?NOhJFr^ad*^w<)&&dAi8(`j6aVB~!3d{;1&w>owjUqA$*9B^yl%<5 z!uzm=_vo>LhMNvnBYM-JH6|=}ys8H-7`%?jd>p?I-`X3m)zWtrjC=RC!`-IugA}~0 zncp;kT~XyXPY(a70}_#(A=uaaIesLGLqsIJvazFME;MdIt^4P1=?u0Xg8G|fN+Fl- zEkT;Mb3Jui0{Do{oW3PMPp8EGKvB|mciZ+y&EcLm2l$$Xey-*H44|tBt5#A7GMv>r zL@R`2o{moL8*Rjlnmi~4eY5Zj?TuS3yk=lUm!Q!d#FPlqJ;r1-wYzEg{5}&At7ExC z-ndV8&ZWt}Ii*MpZ(hM?d?O$B)EU}tMZ>bmtiar2B6!C-Qgb&Gy_SyyT$2JZa7}; ziqb|iMiBcZobfMS2rTPGq@!gaoGJnD#i?*(tR3pwHhoAdTKn1X(weU_r)zAp9=LWg z5C(xn^32kEx~k1Al*mlx45eQW*3uN=YJo;mg6q=A1TqVGI9UP&DscdxKotX6r^qql z`x{bHwQLpbnGd&T&08QaoBH?nh}CLnd3Amy)I7D@vm!bl9#gQwcjWunsX=+wfhRL( zuCUoCpR1(*OaKTaRw?74pOrqFQn=Hz>xL3hyinbDaJ9up;bf-1q0;1#S1Sg9;%74|8~E z=v`HPXgLKxdkC{oh@BP+8ALlD8`i@p?296oB|n@nX61%j2rRcvQPbC@GgwG}3zDya z%eW=>-u?7Q3B=x>4>BL9eL_^zo%B^hWCxW-oR|JwIcqiGkOBbwGln06uGa==g^yF4 zR>(YHOdrAZK6*Gh5meQVLR%oPqR3oF5u&WbaM6i!{R>bB{@P$ft!KR2Br=s{GV3&0 zQ=T*7_wI?~4LWlC_;GGdD$q+x_}VLg{9@zq)EXQ(Q9i5xkEidB=lXxYwv!Pe30WaR zMKTH*l@JNpm6aA5EsE^yEkZVtD7%!bLNY=n<&!-kWhEnVpXcwsfA{0@`Tp^3=>2|; z>v>)0oa>yJC{|GQLbal|MG}}|9zVp%`n9bI(sI*v@CPg@3bUF64Bz z`GIk}qqH=rwTZEx*CSK@yVv#Wm0`18N!xn7WN1#EQ_ryvIDR=T^kNSE#tx-{69+7F z<32?{7&!I%ESp{U+0qK9{x$My?Q|<;7+SwE;j+03J&xXnrEB&d#@^pbE2ViFH$r)F zbSYs#itohXo2wZAJ0`B-KjLaIsf?w3+>l)ueP+-`QB%OuIs|4z1CMf3ZA4SnrSdE* zWe)0TYp)pgdt&t(OIa-7VajixK&yv&W#|2C`Ga^;r+T3GL?{0SJTLE>{p80-$T8)g zIy0`T6AJNRXug@HOVoc%BV%J!ORuxBlaY>FaKme7;!n;EP=%rg4{)b+x_cY{1nK)k z-pNNoBBtjYd{STE8yvcXr2veUnK2$~z$FT2X3sLtyxcZ^VbemndC`g9k!dQ2{?zDb z!LmJmbrdOjfq3*wt{zC)geQxr_HXl@O#rtd@{WfBlFwnBOiefqDJYNypo-xQ0fiF( zEq3Ybk={3f**VLs)SfKd;xzF?r}6yF^k^qmWBx+`5}7E_ufk?ZKeIo!Rkqzh?qJGO z)NU+U2QBCz-u7AFEk=m4YN2BBzkU6{>EO8q1*^SWm?R(kD*f{1Oa7edWMGxz58xQH zkPq4dq}3bOlzA3E$yjvH3uG5Wg!OaI2!kC|b|n_c6F2kKWI}IVzkUQYcKf@gq1tEs z=iBD7em9jQ9)HaPI}q$6A?EJN;@__wu&=Phn0n(58oq`#Bzx;G=dwbbpA%0cHRcd#FEsEh@honCRUCw8ym; zN!pis;5q}q+pX=}RXn(0I^eRh&AUx0We>IZ9wmTNuU%dLSo{U!J0bqLy54m@^&cSR6!VYqWK?8Doe%WB?YCMRk0~- z`hx&7TVs?Xei5uZJfWyXwrFfyuek&A#SL)#RXOhOejk$>cvlJv{MOYM4^;k6?W3s0 zgqo;x7i~0gWQ9j$EyCzH=BDwkL1C?iS#;&k&lbxHP=rhXDqdqi`T4@0(&679Ah&xH zEnSv6Xs7;j;oa{iVKZN`QEYg8;#!|h2&WW})#=p@9TR0-Dh`yW<1`dYI6!#Uc4IT1 zeD~kClo76FJh}Mt`SStf%~4rhWnZ|dj#&cwMQ>DuqN}c-J=b+QR2jpMF5>uRhco2) zUjHn;HCfoq2v7dw@LMT_}i0p0~j3o;Q3(2ni;-*k$EA>DZyEI z5(nfBFUUMok~A>NZnZNsE>9lW9l2&QbC~{2s<6?#;6@5eiH(rsoO%isemZphB;W&NLIkun5IzSk=adG5eJUEp zY)McY&@g07Bev0xKjp7DVg{`EdpyPK$m6tvR(cO`76MRytA~t^lCR7iHXy9C@=-gus&T0m*6p6J0V%>Uk4kPbtk5RNl zWZ#B?zYWR(@%RT-zzh(C5(M)K3sc!Y6CXAlT3;=Vx_O)DjMC9azQURPlk}MH-6kL9 z`d`IM%}~=Na@rCyfxu+-2ITAxVMHar*<+)T`(dM>n-&RIyiw)UuM)sAJ|rMDHzNFy z%z59wQT9y6HsQ+j%#uyZ>FKit@9R+;zoa}whIPE{S>>__OIsHCJ2sDmkr*bJ2}p4tq}U|r357r0_@OrF#$&_XV7G9$dM zV2IC7-%U#QEeT144Czko}wk+ATVPXD6`~cDc2YV$W zjTwO2=6_Eho(;L$)g$V&s42CaNb8W?hhD(=ZBkb{-k8>>_IUfS_j76*OCAl4Qesl% z;Rkmac;|a4NoJaX--~ji|7+z_EabTS^h-?bqL1q{<2XuY(DcYYJd=c zG$Nn*8u(0^q`}~T(nLQFy&M08Sp*C$28}NL_gorq6i!;MWhM%g+EShqV_uZp6z1W- zoD%r9!jNSfzl|*SEPRi%P@?y8F=4U-UR?|QW#ak*Sg_ooSF78m|3V5Y4d>9RnR-U@ z#sXV__70yOD^H~ISXQ}3&#HlD&*%B!y82~pa9ztyh-OdCcku9!hE_13Bvxpl5a9&% zg^xBCGE$rwfO%Z6s=ryaL7#sK~hQ&c|L)sH$ z#xMgr1=xg*icAm|z|ZpxM`A61s4;K>6QBh+h~KpCl)6|1xZ~TED9P$@rTNx<>K%#z zwI7=8w1$_`arVz<`1>U(u6zyATa~bILz{V2>g`v^N!~`lOpFG7HieDyTS3}oNT!I! z`;symi3(fCyl9c_Q6L+?S>d0zgSoD9J!L<>ty zf+12^P(-6^7J_q$01uX(qCKL2!kQD-`PMMLn|e_81Bhk^lHB1n5c!GG>cg8CSSUVo z`{#apT>)zhxB%bPfzb3+l69k#M~S{OX(vSy>{$xTO6jnAuU;e&OtCZ)djf@t0b;AN ztguy*I-ms2q*x6U$d&Lh*KOESM4tcepx%b~->;&>@IQ zrY=`I02Ra{f#^O|LsY@s`vUUVrh{O@FTHq22JUUWeVUSY0?nN$WCe*Z8pI_g21EZ= z>@o@r8P^OMSNCUbSHExG@98F!4)ByXnZpg?#|A8cvb}lB#@4vFu@>xNZ(MF}9`ozV zt5f|o{OFz#Qe^b+2HIUTpf>1x#0(#XvBv4}eRP086z6Qc^4zyY;9i0f5{%HeAnnHQ zi^JUpo0GqB&MUC85sf*GIi@Uxx!ELn8+dE)x9N3|+qZ3eVj`I6R!_&4g;Vqj(G@Lh zxuX%2w#NusbjOFYqr~tC%m&%b%x8a%pQXllKwLaHng_RZ3)OoF&Ia(xtFPZ{5u?EB zn9t-Qz6p7q@?BFBP8f7(^La!m*UD|07e0M7mff6EHP=cnh!jB=E zpn?GO6NL)A_F&HzE6}oh{#~IsR3g}b0IDCrOk1r2nJF!!KdRI)9#HiGiAUQhpbrp_ zN;c|VZIq4#c4v)uvEVG(WyeF$%K2`yfuW%blI#LR(|$WDEfwoh)hG%pgCE`|$+|sV zuN#LLBe7e6?6SVTzK8BL8b^+wfAEbY=|%YUqntFn9b=af!Ad>Tv}9;xl&wuaKTm<> z+wMSouFKT0v$Ce-g9&^9lnlctF6#O(pgUx6J&!!ge4fcJw~I1~{_`-sEq-}YG@-bQ zm$)c#hSK6cRF$a|?AFzb()Y(BW>MsA9l5+~6s!ddB;uMiy1uIj2inwjFkEbNFVTH9 z+OIep{EicZue*1R1c-w{^DxSHY6F4kM_tn;RiiYh! zbU(QN%#S~XV4-vnq{|TuALyukFYJjJxc4>pm2l1HGcl63xW1&2K_h2_dqt=py#Ik{ zc&+RGH-7JXbrA5I500x0I3vIlr~%JS;GUY*%|J;AD}@tVuqXm=|tg z7f;VIACd+e$jXMh#Nnxg3}1ryLk)map%`hP#2psoi+{5n*^-wA^xH6=Mx6^2jM%>!Qrh9qE#1QlI7n4YVn3}nBv9EcP@}g$mWujxd~q}>zMb?mAy;F@LieGmxLUk86PgGmbBV3u zvS@})LkLM_!x&GE@e%HKdEI{5THBDe4&2uk;ay}MQZLsJ0}K$I8Hl1G_+ir9EzEya5LGvpN;G>Iwn2jTc+nwKwM4x>L>`kobul%G83EFFxtm35CX8oJ?w^ntI$bNuL3l zoMKg4&9ni_P+uRH5Q~wQ?M^~!Y6R;45Y)XlY7&C*ErYO1NNyrv9@0bNNZQhmM4*!a z#^Gn4YC_n9=^vJbL(b1muSB4#4dZ|H59yqImm0R7En2&L!oquc>#Ar2s$~!my!zf= z3xUxbIS#$PuLee4P?DKbLq^O#EC&7@IUGYeWjmgzxWg_=@vc>Mt?jSjgrSH7m z8Z%d&iV#*j(|K27BDtj1ud|=*(i>|rO8V~^OaZ+ORH)>rigXfo=Nlu2_;VAoaRXdV z3Rz(b4s%=1imp@D?A@Z1XdUd~;C)oUarEm`rDFQpUk}~EMxjBHa)`o%p;J7;4o5+3 z-eA+scgg{{aj3JDFH(fzW^Uij90X~g5EM92x) z$M8U6lV?^c3cYbCBz{&vNr0ek0Qf-n>P#d!d@J;C`A>X+@i{{t`$=X{z8q-mTiNJO z-P+!cdb3~7r&$BEx{p{z;`NS`nVd>Q(lIHT@>>$88Q#~&?WeO#{{H*p`SFp(w%2zx zw^+nSvYQvuUERt=OL4!gLYGnViFx*{n&USU?qel>{5L`TWrDMKl~8&mNt+STB-bXo zXu)o(xw_8nFl+iJ55jbH^cPoZb|~GQp962-ef#hs)^UVrymD?N|2bd7Qq(3bJhOZE z`jO^YU>9d7@|R03kS|Knn|-ueY@m&CB=oJ<0gR6>_*O8WG(Htdl6gQEsA5Ehnraq~ zp@&K?#+8Y|v#sIMcdXMHON)m^<;F|>_#S4E2OM=d^Z1hu(3VXbX3=78a%b4{0HbV#)xkWpvGR-W71@_1rRfyr6Vds3E5N9?u!3sIPRrcCT_ zabUTRkF(XRuN~as@hNq9aM1d5V9iH4Z03oX8qK`Pc<_dIuN6gd!puTlWI#mi<#inb zhF<;=u~JEM<_Yz?JECXH5EFfDX0Qz^s(%N-cxJn4f(azM?qNLgdM>cAH{g1_Ts#cb z9NM@%ESn$P+3^3BEPyDBE^js~gUOrm2G`Oq5R^yFv1%YLJMszG&7KRFTjbwo&)u7Q z^F9!x@D`Q#%goq16!5X6PA|&W-?uGZj`*6W9d?^-*!ra$nk(zo@o|3uA{UMF*=Us} z;1orS<>}{z%4g*T1=YB`mcm;|b6S0D_*Fu}RtcRme#psd+?#kjEc<l+-_Twf$p zV#j#MGVrwnDK;uMu@ztE$j;Ii5af@lk-;khlj&X&Be+d;E zBk-`KX;Hdqf-r5J6jC5>Cf#HGV2+UmrvY|M8hfAi_f~7db_%h%F^g4p4DQUhbjNI& zwo2JB+DisV29b}zcVhrODu6c)5aApTFX9zL>YXZ}H=V+^+#OluLsmwu?87z6xmo! z)gzj>nG#UBpFv{rwIAKga6AyXt@0N|z6j)Nh1k%Kx^3`)~DX{_X zJWxvsPvxYG;%vk{JLqSBYK$L>sThl5-eIze1*LrF0dRYpiE zF1**VkHG*J(ja2BBN&Q-x*O)DB_;PC#@m^{dntW#e)ODEmb&kb@BqZSG2Gci*}F;l zsp8JhJrKSY^dCKZI8V<8yuw?~qqkn2xvt(1zbyMFchGe;)RV50*sylwpOOfq{OGp% z33$|yjr4n1M7G5O!GxJLw5TQ>rVr4kp4Q#FQArUH&E-EH`>9IN2{M#k3$A@?@-#KS z3Tv7L`Nj`4mI=?IH|yEjFz>FZs)E{9^%`}Tvl$vsY(q<7qJ(ivz{Dl}#c zZOC*!Tl-h^>~m-9Vil?dG)n@_@=Z&$%XsR8AG;zVYQ5am2! znK%vb9G&Zb7dwpS@~p>fK)U$#@%HWZHhf#Qh&-o6TW(rx6EF~SODHxZli`FW`RHkz(k@&1tYxgrs14x zoa$i`{ycSsuX+Dkw$r22FXc)~OA`y2Hf=hJmU7E(N4J@Ik&WmY>mQ!LXNyMJ!QU;t zIosc~VR5uP{?6L+c|vl1HT2H2(%07?(C^c(dzr0RCVa?^*%;65skEX?Vi8KNE-q@$ z&PCtefShQ%5<@?YqcjtfKbQO!%SXYF(eVuez&`gAVk(_e8S0xZN;N)%1&bc#N?6_4-W zaWo!>YGc<8@8Pz+|HbAX>MRy+(>?^XShE^*Gg6k7`fAQ=hZ=J#Xm6C9#MHj=p z^fCT9Kr-qBDPXp_h$QTS31vmPs`2Afr}kwO6|tg^^M3jA?|Smj3j=`m!S0C3R$`R| zB=6(<9h=!&?Mq*;#Gfb`v482RdlK9ix{+amHXI%`{!1r*_R^b2=G7z}8B;eNHQkJ# z;>-`Kp4v@R#yDwK@>^EQ$v?e#4Pg`&V&YQ7U>`bSqo-%K14}XbGzVA+9YV%8Etzon zAJ<)6>M*Twd_4g4aAtP5CeC<5xDqzxXjW%Ng$|;9!6ODjJ0~D6t_5!wPwk)Wb}|`w zG~LKr&5!oOH^w%uqM4T2CK$=UqRRH)6y^g5zbpWi1yXZwJ_4){&}G%Uz6?@;QN_X* z^GZLg7mU6+KHJ&vcIee5+cyyI{k$}uSC<&@vW(J3E_us8J#HSiL|OY*E~Ul)uGV{^ zGq7y}p+wKbWOU)m+@1FrU-9h&G0`$E9{ajL=SP&pyX2<9O4TokCTviesK$QiL-Aj@ z!0>$+w-jmq*L3FPjqqmE{fDAm&35dmflP?;Y9Po;^hc#@jpOpl%BKb15&u47Or!R8 zF3PSfE8M`HRjV(d2$9^6L-D;do_=O@*VfhDBF8ye=Y!XeR{e;OvHP)qI=VOTnjLq} z*wJiL{eDJ9r%Oc(qG7<{R-~IN$xC-fwFzwS8THn#Q1adNDts6In=tGb>bliSsRP6H-2zv!oJMbpG z_wW5@G`rAr`6j>eEe@yyk8gqr_12fs;%x~_l_7e$>~bwcNsg|MD9(>J&W^URS5%20 z%e`r@<5$@um2*5FBIFV&J9j>j4UAu8A?;!OUksb4f^GME)hLnn5$MPlU5~UpR8UNp zkCTMM9r1FZA5|3jyxkgxRL6ItAbeS9Y17DO?EARZ>r~T#VTzTH?+I2?n1Ho3%89}Z zx_QL{PW0&8gK!TY#|O)bYDx2D|M39MU@)q|+*L|Y8GPCSJbCq&+m|#-t8Pb*c?JJ@ z;vZkAep0aZ=;4;XYDne4MI|8<7p#9=ZCIYX&e^s2Qq>Rg5|SteeTL!3t$SkEm?;)^ z4%hS?@q-b-Jpb)qW^Oa_KC2#or&m-k%L4r*bqH%(o8(PX8UURU-lO5}*L4O`#F7i& zYMJ+i8D1Hp3yM9i`S9_2_za}naAYE#jj9d~&{O-LdTw?u(-}Tis!R3M{nC3cZkF;| z_I4|5VYPlv8gcp%y+^C>T6CoSzvtHF=G!mjHj}l5_;s|Bf^u@4IF7d*FQ!PYkuA^r z*5LE``^ArW(X5Z2VYOKO%`9wTe*f$>nJG8i%)VinO8t%sSO8t&v|E$nK2Zkq?{@`$ z6>R`}mwLa_$ORc_E?k~p!7t1OCIn-fmS}7)*NBAo{h}wD-FFFlBGHI3Fz(0lkK8O1 zGjsV5_M|2Yr&l60%ru7+7|{ga4Z86oC9w0tVSpM&y6Y4?bqIA=sEf1Ub6{fidxhi4 z3a7XFm$A`NK^d9NaIXW*&i3EMkNKwPOOsjdoUCmr!*254Z5a=jB@(`^)<4AFJ*vjnZ?0(xo0|uN2IBXEChX=* zz5Pp(Y^pHS58%Dcp9{a~H>=R<6*@2fQ_^j7A>cS)k87N+in@pEZK{YZVb{XMhbD1d z-oBB-6SvL?XYtv}3<_`tReM(YYFda1O8=-ocsd87^gC2Es3 z7&LBrJoLS9y07I`oCN(P8lJ;`K>~R}To#f&J8lFWZ3ueRbY`i<#pTroq6Ma@IvV!c z+YSVYztR42|E2g$NiMjxOe39m^$h)v16_xdg=z1cdB;Nq+HP{j1qLD_2N?R{rG_pR z_dM8qb^hq?6`nFla1epu4{DLkj`Q3%C1rd0@7>HZ?vKvas3=PVn%J$zdxz`lS0tvr zpUboP;QhvkpH0>xPCL1i?kF@~qiT2)&a)`ee_6!IWS66VO5}Z8qu1?&p&ARzqWzlm zbwHj86O3qXxFz$8{@a1eNf<4-gj4SK#p(*!!Z(0pY2vK$xl7(!jimX?Ags~&jO6*P z6tMQ=RPA)JC=Ot5;W6g!+p}&mi}r|-^T0#5Lk+d&FB4yeUJN@p3KUK>?fjO_Hmes` ztQ5r|<(`G8cnFWP+rO3lqp8EMVoNyX;(e9xh>x-La=cOE4$Xk-nXda`{7fLq=qB)s zbfHt^MS^K0`k&X}fPA4eu{fRw`Rnn>k@<*5Or6efw2;?p?}x1!NkLTY6!utMnnkm; z#Z-7UjuK>$=Fy{fDK`iSlu@jstv-Cux3L5Il&{r2w)JSXF{-{sOUla1N)ez=nPVXS zJr=P4-uqUijHdA+fYn<1bPDj8Rr=RoSLdTAOLm6P zZje}u-+w(lJeUf$-qRL=s?#5uECDGgX8gnUKTV&Wt>MGlxMh@g>(yIXNZSTJ<;Top zTNOC9Bz_m1s^|0;n(*aN&?evdANmJufF3_{IxPX5Fp5_z6=O*^@)j z3%w$lM8zMd%-!~m$#X-LfmLMUe#fsL3yO=#Tas)8Rh6{DBeE9Z0dOlbS65W;0X_Pc zBJ*>jS6l|Ze?PW`8&-|k3=p36?vR#d+h^apS0V-I)Bqg51^nsbl7XDC{@ws*SYE(a z*O&(D;+w(si1)~Lq%}?c<+D2X>b`G6;njH8{O6u`pH1GL8St@6Mewb9)=p|*xT?KH zh(giM+1x=LM}t@2!0PWfIwu5R3Bi1r1{t8Qyen!StTpW3h3IisUS1|h`A=3hw!iLi z{{`Cwnz>@=VN5F=wt@Cz_rNHaUE zT>GbDqYMTVA}YjFeS=J%aPJEm9Or_J)LT766}U833dAN?I}N}CTq@)N6@v?fJ2?!! zvy%;PP-fiC_yN=jw}r_q->zM# zJ>|<@Pz>^;?on!qKj=0zCQy2u9&7JiGnv&oW|7Aj8FKgPc`pjhYv(pkx>ssfo1Atl zGm@%e7>FBQrcm!MxVjS$J<1d!r#BWl)v;bkMf@O zxuPKZo6o@k4o*%oBpyGy#SmwIBe<#~0gTCeY-KsTpU-D+kuV;>ZWr{NewcueWrqKd zx=YLX6s1n4#~q_GJMaF`prBgNswZFFx{d&d=PzH{0&^x*G}=ci1fC2m1(_Jlw5x;Q zhz1)4_zt>S4uHRbP%v3pe*pU6V?$1EBg!ujgql~tWc8SqR!0BMu}W8Xbm8z~7u&v3 zkSb>#1x<~<4(gQePH5r$3?3au^G|CWjlc16SIRhNp>bi7YA`Dn8=1o##^-=cU87|cV*o&r|G7#FpmL5| zK6j?XJV~&5fwLG==(>}p9-hSDglk8u{SK2O1IHQMR#vfu)0UQytLn@*@C(v}aD4M; zeL-%sR!b$YGyb90BcUU2BwJ8_~3w6M6QwEoD)*s}_o z)tU5|2`vf;vk{x!dA{oJ>dphXn1zIR2Xqb^cbV#-9=&K5D((ghG#G9)++v=;D-WZN zN@;cv`4{%X)Kz~Qne^1$sq1Cv{Bw6?FRf&YUP1qR6n!fZaP5$i3g3Ngc@@~yS);*T zB=#zKEJ2zfy(~H=Op-~l?&TS<|;5w`rdH<-XVx1ggnwjePgxzBy4qg58hyc z(WfT-mM)~a)lez@9+#VXxga$QdX8pZ-cy9F|9sDZ>sPPt`@V1Lzx(BuB*$}ma%pL4 zF>InAD7e(uCh>_4MUC|q!2_qA4sf7Ykx&| zZrjpiIeuleyn%*qxq}H5Yi}zfLu@;xJ)ZjAllHgm!r;_(&UxBWJ5U zw8oe5E>Tk`2`O^bx%*KEHphx4Og`GmiFu09v1qXnrb0wANQKwfosfm$gQOACCO56$ z;Bc9l6sErRRc0e^^qpL$oUE{Cc(e<0kNfOzXS=HRPp;}jRwv$aF38`08~G|md}{S6 zFE97L^hlV_cm1&#JFOFDi0^u?5UL`Zj%=IfS4Fps#%UhoFK|89YWS;$)}Phq(?yr> zyA&ccu&+SLA$~#EUB_!}wKCh+L^QTjt4bOOOtM~qZeq`Tccp4)d$G8V$sI}t4yh16 zh_NxU!?+r%J8FD}OwO$<%QE9jfQ_lBi1HHRo&l(j;`*ncv&dX6l2nLbH*H3;C6W4o zpu=4B9Ijh1Tstmhk$TAMO6^U_>s5#$ONT-mpmq~VCvCm7kdS(pc_k!FzUzer1>^@y z!ohf#Uk|Mg-rggH3J^x=Zkcli9{Bn0s_fTNM>90uQo3!Y>VXRUpgMKafiVjHscaMMdV!O!BorXDk52nxl z-X*y}HQf>Tz8}py)7NQ8lrDOx2MM#JmzVEH#9<_!Eyl^)UD;Y??c~hso~2-lNS^*$ zuG6s-YzRpQ>Y9Ff`elXHEb$hn)Vu--5N)?9+OhPB*`ELAUK$8w<-ar&gwX{!Z`Xu(j`(WaR_vhcu^OUxi zm})aUQmK3W-;U#}nImvIug7No;g;m5EMY+&g%2p zuO8U;!BUiRK|z7l`SY5iHum-pDL-wpNFzRUxhK4ZM8tnQXJ&oZ3#~%eaztb#i(@24 zi2GRIwA$wc32a#_JYnC58tuAw!NR7$%{=WI90b4&u{%$Oej;)e8tq~9+}nO{Gsf2c z*Lx98801WA?kI;hwV3=d>+4LY9+m!k$JlrshStCTVNbOp9Di=($V(NJr0?QI@YAtI zH&WJadWkwdB1}pXD43t(*2hYJu&yj79=9(DxZIX6Kgl|C$75)FGUbrUju1liXJOwQ zTGQ9yf1@Byf+rv=zG~)ZOkCXI`C2D?&hstn2FDL_pORSA(EY4mc1fD{Y+JAI?VC9%n{?_La>V$7 z)(iNPo{Pep^|{8zZD%yX0o7$f<3gM*pm!3Us0;JC`D76Z�#XU4wQ4EPT#~FB>(q zOeGL8ec_%Pe5U{167(N{rQe&|)2{-7PXwpdzJfg&I4xo^Wer{Vbe<3e#R1h^_rL1m zKDiT>Scq+2u@47QyleH_bPH6}R#pOVdeC?@t9?sdogZN7HD3FLi|d?miLvE4(CdW! zzMTsR3*!)Z>4i?eT>H|8hv8;TcI%J+hi=HU0cS zd(P&^H1W4;?%mt6@WvC`M~9vwAHAc1Ys5{tig=g|s42WSn7y?&$*I$ydb7N;!mThu z4wF}@NHJ24ZZN+H-vxSXt86vB7(A27S)(sIMKyXpFpbSL zlyZIt!$aHTA_l9H-Dj(hZz+~ct5)o<2IG*$$e{)A!dsOLX-27~v-( zeITAf-Mu;0N-W$xY0bm$`dD*hg7<_XRkCI^Z|Ffj%0?-}FS9{`_iZom71(Gx{IrRn zO45Wf$EsAXHDBv&Ut-CKU2j#KCG2A!wyT+~*%{)~k{o9{t6m$@0uIQtg&geTp>|TT zd8fD?6Y;HdaDey|+?(0iDOG>lS-4m`Ii0xYMll1;l~z3ATFMp9%b&{CO}-0coS@h! zjm16c`+=OIu#ttUyPLM}+N(a;|N5Eu+S9_6bHl6QJk3ja%N*DKx^21>p%7y6j1QX} zEGN3o2#nP`ddz>4`}kCTv#sXSqk0j`yotN+F}HmNuE4f+>jslJjeXAr_>ZUv;$Pc< z_*sbLICtG+fC}#oY$4jlIJ}nUM2M~o>pNs$hG@d1wytegt~4*Y%X|CAG}K!ppq+;2 zUc;#u5#TXx8|f8obH+@u7)o|YFI@P3P-M^Yc?q{=LmE&_s*ECZ-Ol;XUzC;Hf?<{% z_LyAIjwv9Z6{9O%+>xAcuN{S2iDGU(nZc`owL7qF^MVH^4TcX6T-Q$LvaVx+P|$65 zsN~((eqVeKTb$lK$Ya9nFmdwe83A_nC?v>0GvklIk$2Ffs>tZ53Eu^3ravnDevdo2 zuS-Yj`CmDHd$GVXE;gtT!N=Iz-hLFzBhFZkec=t=ASTl~NOs#w#v~;m_5LEnciNLx zohF{T;ZY#a`rx@8bI5c}w(87wa?gy!&Rd68GE}sLJ9wze<0F3~KI=M=fEbU0sm$Qh zt)-lzQ=RjGDT2)JW4k|J7+l}Ji5^U9vGHkKDWMpel=nkdDB&z={PKq5yU_ekmj-|Q zkZ|5r>@s{5qlo}ANHFR&pv+T1=n6hyE8&ZQH zD}Pon)XksVEMX{a|T*y){l$ea+xFtet&3bZiZ=|hc}i8 z+w8s}U-UDD!2RFzj^591!3&kFGBR;K!4dP(rT`N0xDDdi9>t(`7|X)n22i80-auA5 zg=Ui8>9LxcGhN+!0k_*q{0r{f2#5lphOn9St$6FgOFDc2%K#C06h>Ju2cpRNHmpG@ zO6zzs|HKSr>GwuNBYUXc+_zDy2?N0rjtkrM8ySUpS*I|@co)k&iwRW)08C)X5raIPXW-8dh;hAE#TF|#)p!ObK3eB< z3jz-QaQIMHM+rwK8RuVRuwuz_{fFfzlB4x6?bTS_0hXcBc~cC{LRm4p0nTI}do(x9uKI z44%TX75z!CU6vl!J!NmH-?r&2-$T7Eb5Sj$_+f0`HN3J3_SH+PSmVq@t)E$3l;=(} z`Bi*X3BBJc@EB71VFg9#`Xmt(dO-!}0SW@W;)zbjZKdPkU%kDwI5+xmw`{+ASM+PI z%v1B?&$(`Iz$duB@BAhbHxAQNjsne5ebPMYO5P)^ZscggZd5+BYk2jC{!v*b z5r!O^`1+_rj^e}BH8|LT_89||P<7Lk7riis$`iGC3L;wk&a2bi3Uu7oZhU25{H z5(G~Y>w?!n3oY0&W8-d~x1GsHuWBzsa)vZrcB})*^PAoik8P+xuZ5%4< zr}y^2(vQeWBRnK-r41{D{_tVx>+2KVy*mPV(n;?zNW>7m)DTLD#%~LlF0}3bfkMZo z9yG8GanvQiM`NO+)v%o*=+BD0M11ZbB-#xuLl538bASKk_zQ|E?sNW)+mvsW)%}C* z@2x|Ef<6zB&azg6(Wg@un)@Te$f}D;OFJ?PH_xQIRaAuZaBaZZB z*n0)W#TBw-p0iFC#*kjbi~23W-A2X@|bw4ui5C7FMzeezJTF2h&@Uxsyb9 zh|{e$`mn2`mhk8J*71;T5xm8?B(eCEo#R+Yv%TdB^YB>5Cq+e3=&8ES6Hn1PPvcFq zLULie-SI&kdAl(qv%dqaD&I8gK$l)Dcejy**gt$hm>nXQs; z3)T@^)i!L{0Nb-_qsaQzJtR7bV7?xa4FPC*un=JL@%8TaKK16C?w6!XGGk+(LGna4 zaXawaA>qVOF#mYS`??rOKtaJGxYFSGIJ#8Ih~d0>`tG?oXx?I!Y@ST#9c94ILs@}Y zUpLk@t!lj~-2h~QYV=*%Wcx$&dW<$$6KxDlFWu3hjz6aj1rHBnSVft>i|q2`5((m+6fPA z^!Xa@0-Al7*l-pU)VlBj%_TlslisaH{i7{CaU!hxcHe5SoYyR~4BaD>q;9xcYkueE zqV8G)nY+*Q=|a9H#vQj$$xJjHFOcMn6@+_FZRzUFpav2u{of4$TG+UB!7TJ__tz** zgsa-jhp-&)mx_QZ~O*Rm3QZBTk z+*sM#Qb!CU#qvmDTiamg$b9;T36eRw?e{pW0qK{r+Ul@XMQbFBAL{@3u>?lkwo9L} zTMrgG%UDG6dL)U+!AFJ%|qgIzpq?baV5J%yR-Bsa9@1i*H*b-hl6s_E>Vx zD#=w3U@*m!HBKv5o~t|()x8qi5}ID!zDN<$C{u18zLH1Z;8l1@(K*k@70T6|-`uKf z_gWxfoW&|&Ce~t*q~3&spa_%)NhyTmMjgsFB9a0zt`M#UJ>S;WtY!BciM5r&1Mf0q z99(cLplgi#F8cw+NPNpl+=RSX1<#`HCL(LPPLGL6r!8j5YqLLvIi@4+jc5R~a+9!x zffOK55OhB6TldMx?1i9^bfy#`D;soJaw2h-bQLAloBEE031 zxXoLvkh(S0uc&Bm_QQvGjjORWFOM5eQl1H#ezuwyXdKo=OO9z7CW(nF)9Cy{$f8N; z4{IRdqLHRXkYYnV(g1RoSS#%+`+_bec4zp379tA6K_{$mU;<13cq}&ZW+(b0WWmQb zUW)or1O3Y=`TcA={pmUHHb%G=tv<&jS0onOYzHCpgWAdjSPq}styKs698jcKQDxIF z6yso!G%q`*>QuMrf`*Zhbg1?XWV(!qou7^f4wg3S$5;wRrU{xt7r@N05j`Ds_FqG8 zb(aAH!DE)%y5t6a{&XC0>%i*-gLSe+(t4o!D}uCzMMb&A6tf>(O^Uq>@c{C`XxLdT zEG+Og5oIe*&<0%jHUp~JkQ(ft5M{@Ml3B;-)2#EJLx`4Wfc0Y7!!~}!5ppeJ^{#kl z%0z&^2B$~dhq0ERj=vI-15Feg#K7_|=r=MmAHh-`8pyr2jZD}-0mY&E$f&-lX#;5O ztzzeNZdKt$H~UzP_e*@DC+40Y+C{QyN4JSL2-5(P<}qPp;Akd$k?`2w)8jDr`?o(L zm}l&P((Rh$h}h6Oy|nma-lSCjk;#<(3W;25)bf>fi24~d`W z1WHWxr6HohgGUmXkFX`X@_RcTnLTH!YVjD;Tr74J173t42Re;JZwmtkFx{r5_Td*i zOL#w_mD!>nGZR9t(he1sGXuwrcb%BxYB*rZF5!h%aPLRKRktkT#~Ga$W^lO@JuSPi z)t=5D0AvRI=_tXcDcRlYZ>&8S zbI@a{$Va9pu1n?r35wqCJM`X4{zcD$3V#(M2aWk>f`qR*H*Lq(1kt4(b&_eeS}xdT zBQqtIe>o36t|%^6gFF+j3S!};1`h7o?M4f-YnbM@VPox8>k^*km1S^CvYYsnf>652 z4RXGA?G5fa*}+GfO>~SX`U7z;FEM9lSITGq@ZNlMtg}rbXVO{E_wRzf9mjRDoHZ?z z$OJw`18ej!G7Z7FV+{}s!YC%F9`0f?C7xaw?;qt&4OLG3a8b{Cd_e5hI!aON${F#Z zOm#-&;5F9hlCw71IczOAk_s4d0}tY8zLr1Xg2F5t{=r9?+tM;9>C z(--Acx2b{LWaH)zLE}!Oy?7h(W@E$Vh^i{Zft$a=$h<7uc99y5KFIEr?0xhH4<7V@ zuM6P<01gL0ygUpNlu)cwQ&R&!euR>v8zyPjq6=8g(B*xaw8?>`gOKyl*n9WR>C5Bd zXhM#c*MMrqeEI>ZCNKVN0w#P@0?C5SGYZvvoD?*AmwHrYha(T!Kmxafb^)2u(j*cZ zN@V&?n;N|-sr8{uLPGV)zU$JP&WeMm1k^y!IgCd4p>dDRxlE&7ogk#Ro7&pK%?}1U zma(c|*k0P-0_2~QM^pQ2HAM!~Bb=YyvKIv0GksXqQx1^m+MPx#-KD%u)_C6OnNMw~ zIrzU?0A|2m5@hif_(~?;T-?|?drQ%i!AT5Lj;xBlFndEmHn0GHT$IFbX=cA%_zJGy#cB65(jk%Z zuJJcy^in;s^TfDg!06aLA;yTxdA%Yh5?r((4C`RZCm+>-k-WAv@6cWBa?)cMu19Y} zoQ|*@z=S`LJDhBk3PBiH`!Qs79zPH*`KaLh_(czX3)rH8pV={BYp*zjj+*v5w$9F9 zYjuFVI&s^;gbd&}VeJYy$-NJQ#TW2=u=4XqVq7JhJ%O8GB}tmS6DrFz!1!pITt3>c zczf?7U?!DjCw8$umJl0B@I3<`!MJM{1J4xmo=nRtz!ca#+;qRsQ`p zM6quY8m6^feVr2kQ+yAsYWBRkEsqseosqx38=ea9HTjYki6uoVz@MfsZ%9G@MH?Y2 zbp!(Z7{*+G#hu^(1W=3~M1RPEq5AwCynVS6kcr@en)1jiyIqqZ9o(?dy89tU;;OB{V=n zazDqLCYN5uP{6p(J)_sXR!5Fvmti_2;Ox58`JM=se2ZrtZ>LG;$gmXBcE7h-VFm^d z(B#ASiC8Zg1)JcCCtT>TK4Xo-U+#24+?b(L| zwJx)r3lQaZ;UyFar#6B5T}f_uY5%>v`3EY(>=R_pB~8A!P(!X_Q+a>J686%>b&EW^ zW2()0D^FQ+#iqr-SaCj={fOMh%x zS>jD~mu-B{X?Br>3Nx?OhVfM{vE|u+ zk&cSW^zhK=shEo&uQ4~omTg^vwC>23$BkrRwl!IvW%$svPlHZiNMq&pG+#QEEPW6+ zkOS@5y?ax?i57Ls8>1OT)K8939=A_l9h%0MDgEA) zy%#q51(ubYRij0ePf-4@u!U;r`OII=0t=PeYa{YZmGgTq$R-(lx(G!A9R92!qx`6! zjhjdMe>`mGIRB}kEKiJCL4eh%`zfaSDW-ZVja^q++1Lbk?L;6Hq~s!yrBUUcNJAeX z9~B)<36>D;CaKupKjgBY&pj6{`0)_)xs_3jBk(GEX=U<`i;!{c!+?}&G%NZt9AI%w z8^7JA??r#c)XA?4MCDKyeN~+vcAl)b8h9EEAD81<9Kw|GLA`|R{s($yawzl@>yKgsH8+yf_Nh+TF?NkeB_`Ff7ybNs%?@%-~V4|U(~_iJ3&d7Y#0%H&!Vo7G<}VrZMb1Wc}M z)aA|o;Q?GtzwY!N3lz9G@DN)RfpzxvdjVmUqjRLa5$*(Lc125Ow8WE?P-g49ko|Ff;JF_pgW4Yemyh8kyz(yG9DPqRz ztR^vr>pS_PV`84hjlgbYY-#>H@UdP|I(MjGu!}Plv&JrYG z0fH!Dd3oc=7d!CVt5LW>MqYtSlnA`BPaf+lH|M~74Ob=KZr8h1qy8ww3~|L-mir0u z%1Weo*zQjhN)GQIj^RCf?p(fUF>}C&m`{Rw4+7^D^KX>=dVhzy##=e; zg|kL>-Ff{}i0S^rfs>SC%WyC^NuW#Z;p)3uXPn9-RNBpr@CAqi@WZmu-T~RzgqtH^ z{Pn}n;l(*#sc#*F5h}>w?Y0@1WBrEjzaMrwq*w=VtaKwcs11EJl65swE5J-&`5?0@ zHh#J7S{G|Bl@gZX7EWh3N)Ey zV=4{5rpulTJfq(`)Oc+MU!Z~l=Pd-YEO3^}vp<95wvGa?%Pd%u8AkcIoW04^Ag^o0iWorWX(X*pwyx>bm}yiu0!XS-<*U zWCZ7v-5~KUvj!uscF@^@y`}`S%AHlX9pZVt+%vGj|Ga?_^PzawkEYANg$|zHlhQRm zSk4->w0z}_ePiV!>!|g%cbb)Yj1Wd|pQay1J&O<_n4+%#O7|i^zY01N3fDMq{4}P2 zoSet1-*PK2*i_?b{P9E?q05{&kPHW$pbhH z1|XuC{0lev%RjM&#NIj8THGA7e4rk6`#(o7xa(G+?m@Q<-DwT1j#wmoWzf;FWb42^ zM~kUvy7>9A&D^oN=~pLdceuCV=@Rb(6znVjuoV;)Q?YJB& zJG$F^JE-w#b~VIUa@5q;5^F>ilt=;kh4O-o1xYi2 zEzbWVg|_B1jX_Nw=zw+@8&;!%(oK(^_@S#ZiPM4@KavbC{JLA1c@wuuYPRpn1ULeW zQr+ClhOUIz4Q=qZR{T^?u zBtD!IudZ8{PpnRX8Gd|vR8omm3C{|b2r*70>9C=Kij|Bv{GkuVmbrT!@)KKxQyW|&vzBK>=dE$xD4uTjXE6Q{E& ze_wBg7b+8F46(Z6h^*b_nG;*Y@kjeNmdSxX#~-|IunaafG2y`oMa-)lhSHc-N7-3# zjR4Mg6W5i_b#w`-0KL%p(kO&igC2JcN74FZ-U%rwDRuA}AowHaGUA3QFb_&`vZxvc zvf&c>64S|kOpCyxu7wLbWHPsjh#kS1){zJhz6Ipi8U+R)JZSJ)LhyM9V75g@5&h7p z7P53znEytB&xwYVaDZU@Y~Xyr0DN)c$py&+&K~h(nZtM-=94i1Yv5y1L#6hI>qyTE%nv=D|+_57-JnB zyBrWpg>8Jmpz!Gd`1T#fE&ode!>`c_u^+)#|;xP-JG$81UcVL`K$!j8n^H&GLg(V=%i09t8wF+o7#Y{1GT zaE~7Sa6O~A+qvxqA>=xmXH>-R5ki9&R(2UFAP(th@Ash>aGuy3FMIMZ9CjL(@cY*l znI9sHFYyCTpiK{k+q3Sps9r!_v+x0f48EpO*c=!;_kCc%)B=m)-~*w(m$JK?c^>=q z+HDZ4nNXrq$5D0zAeu9mKlzI|?G6xO7Fid=M+Al*GjL%bz&^ z*%igF_~I5e>3Juedl-Two#@5(k$C^K@P|4)%{G-cefSU#M5f0t9oL?XVfl|!4X>W{ zopEz>6Q49OKbI>1d9O$iY)$({UQhxMY8Hw={Lnz^E%bSfeupuM#XG{Dn#ZNaC=&nv z+%lQkU4|A`m32^N5&utV8|x$1W`B;Nsh zeaBEw6roDOculkvLn$shNZ%#w%{@pg`zI9oG-iVcrNKN$c&-#b$qpqmX7sV|-o!*l z|5}nqMgVTi`%5^iYgqvlJ@g{u;X`HqsD5cFPp9{BN3UFwZ0OWv(&+m5&;y5pnH};0 zYM?x%2!j{!9l{q$oPwKhLWtvx6vGmwrHmt<8xo2~a${$w_RtRthOb=5d>Z`xU!J@I z0{WClC(HdD4MpPT75vTr2~}KOswmnNWoaQ7I4RL_?;b@M{m>>r6{4{F62XX)D^?4+ zh25__#OC3Ui-&s1@Jd%?_dT_n-+Q8SUP;t2b!h!vC&%%jNCH2FqtREL5(%r^Xy`qo ze-7X&XLLf4vdioRC=2Q1Y#WvA&OUHEuKeM?%9hBB0EBZ>cCEKT|0!RJA|+nx*`Av~ z&Z0z?&DpVD)jc+ofptm)09lFNE) zvfAlmOl?t{TqW)BwyL?c{Fm0XVbU2B%B+eOF&d=8mMJ7kT1c$1x-^go87pq#hCufy)`EqN6vYJ)4+-!5nA>JS*)1kauq>Sk8%!C-I_5%+RJ*V)Vjt zp9vX45DDy@_rvmxzH{dw{Oue~{BkUdjhy?e;4T=As9){s`ufMF(>8~fONMuwe8G;y zji(1|60>hg(*O3j_Y~fI7YleXVfl&&cM0XjqeqXPR2gNkS#!fv4)YvTVyL|hGS z3!3kbZo6}ps2xP_aIytW)FHc0%N z%s!x0d9QzDL_Y^I)-x>yo8v;`pQbNs$iPl;okplE%`Hysyp$Z@$)-Iu@84&24bLww zZfLuiH-+y1cE{r#T*oW*P?cW9HJ1i^HhQmUSV*iYhKoTv!QuKlRvZpE>O}eppAzl3 zI1ohelcRv{#GnL%&C@+2|50dfo__m`WG@0{*wmiU*JnwPcj8DM4d>fYB_ket_^}uY zOL2;JPH&UWnE|S+qBC<(-I*w40~?_br4E3*OcKG5(z>dCnXJS9QK*jBMz^) zm&YT2mM)gFpS~mdL&asO(%o|UhjR?$^Q}+mxv4^9->7*!(*}{@dadQrPmH5XJ$g`c zV9>@!b{j@)g{)Ua>CX7H31<~YuzZq^cqr#mdrTY~;uEb_{xD)3#Er)C|KtHRUH|3u zWEp5ia^QMZx?@l0WsBVG_cyQn{8F(+T-Ntb)n2;My-ORRu91DS^Lcqv&E_LD7)1YC zMlBGhHPbt=7Cx#`s7zyU$CISiC|t&z5OUgppNooeKky9=q#f&llBOZIbLZ;65guj` zk9hQ7G*zPMbX-)0b~EAo`{-aBm^xVpR+z7cp6cexKNO}U9v5ii4fAIb&};(kj7FW# z>AzZjsR`z#nmMQdjxeq}uF%uf6$#ib5;z$LQg&h7q78>?r%!1&g{{!aX_aebwez2N za$}$Kx@@DTj=g5L)}uPjN7Phwa`GVLnh? z)WzVAC<3$Rr4HbsB2wO_L^x=l1=MrQ4F#}cGJv-)I1H^9Vf zALBari0pNGPQ+yhU)HyYBlwMJSMmAB`;z&NjvD_^mjv}_miWdbu+#PJuj3u#SP+G^O_omWKg^NdqUznx zodpU4kHy~84i2A=p0cgGDCXsy8vSyAeR&5JY&t}4hK0p79)Wje9zZBL&l5F6frWx9 z-MYWMxl0iqp&uCm=^b{w>gK3@_av!8WzKlLKan@KwlnC$)eTRtp3|gHEqYBY_l@cx zM^$mm=qsLRr^X-roLk;9GDON2A4pS*||BTr7GO)3t>I6fp;RygYN1}Y`Ha3x_>=UYNWwsi|5epRo=J~%z#qn z_Z&APIk2s#;W1+>F)w#H^+}5(?YlrcxlcaX!3GcsJ`vSqfdB|9mD-fU^Oyg~2D-Ys zvSe@QR?c(EyQMy3(G`{g9%I3~+BWKCz$@~HKqYFhZFVk7yfW2tFwi~PXe>TWfE?c) zmxuS4mq2IT0E&RtAl~tsUs7qmgH`Ay?z|WO9EWoh(%v)=h<|@=x;HAhFn=B{no{RY zo?ANQuLYAk3XHZE<=izks<qU*O? z2MFh&>fvm%aC#RE^ra>L`!!H>L~5311ciiTJ$pa3t|cb!#op7I`_%3{Jkvj9zObyJ zwyKPiMg8W75Ky+5zYV{v2VfX_pE5B$oz4^LssQs_MZ}gi9Nmv8SP=WElUsDiAV7D0 z#msTlG2M$hAOwsAhSyN>oB`*iHgdJ?tfiOrK~!0PNKcJ#k=_@q)q+-EXcN3*kpn!b&9;cavCp1p3iYsS&>P7vqmIz5p0KEYg%v=I5Ac28is9Yty>IQ-rtnKQYn zY>bS;g!}zQzw62gb}Z7jfuN% zSrw!$qcDE-fu#nrDDwUL@1_ERcsPFinRzfEnwz~b?|%@O1lhHWDQ`uZld3@S8NP@P zdh;=k%Twqcf-#*;I_57fT~B7XL=w4YF}kbBg%=7w(h^>Ug`hQrOO()ig*V#QTI?o_ zCqki56s-3kK>Z8XZrn;2(3#O9={RM!cAoF zkej3J74y2^nk=NDoNKzLl=nS}im@!=a=-Y@843n5>~CwM!TbFWbM@mym~d=(3Ew{zovFWQKD1;$h|;SHecY=L6k~ zL8L}hG762cyw5X|WClJYf7m26g7Da<1Fu>Wxk1ZcKYU=t!>=J`JbZjo3-@BhbbJ96 z>nXKhxe(WE1ZP>;QvysZz8inNOJg7i42DPwz^S{SL|uGuf7?|)mJJgsR?7at=txds z+qE$zfpCR80rnQR@Tdlnc6OCssqnzAE0oD;dXvahQP;-s=7(!D2V_1)-hMcqjvfmE z>+FRGjaVc-f$hcL^B>Kf8`t03cAfYLJ|88^j($ z9{Kh8Wlrq|DtDU0_my>Wnha;axW1=&o?g90qq2+kO(D5J#-z61c@HC!FrX#O66+8J zQ-Q^-zlsx*fnuC(+LFzbSWvL@*bV$rjv)4~o}SRUxC!T`M_?r5s5sCHhgJ?(9!R%? ztp3b$Vv1!DZV@YePVawQfETV*(n=>pd#;lo5-(owf&I39Z#f7|Q|5iuiU#@aYTymE z%%vNu`Cr~Z)0oA%V?D8MZJEpXowljZ_4n8GwE$ziePI<@a6eD;04Chm=zPsynDLC< z#oFK5;0X?V{4A;~c7*zX=&`nJhz{NF*6rJA zozQ*+`jA`?J-tVvQ%Khd+6--M6_RxQ7kJXa(MN6cTvA$0buu_yR)SHiw(>#+0&~#q{{MIiU3MmK_B`}#{%ZNcx1y}s9Wo<(uPiiZObyR-lN|;bKjv_j zMrVlRRXr;I#optulS1l*X+o^NFixO z837shr0C0d!sZ%zJY#RA^e(d zdLaHuO8UHEJ=c3^0b>nUo6RP*JUAS&G&p$_}NTTi}CcnZV1xQ)Fow6z$AZ^M=urU`9ge(9S zSr7zo;Bgvl;n<;|5Uvr{(=ms-x1fTKiCI1Cnv^$dLBh$A%sa&|C}aET<|Q-&$|06v(4&y38< z+#nl1A067&>+m;%H3y+UI=j)STd%7X13zY4d=@zB81IV0Rt#$TYODn4^Fz?~2?57* zgkm3}U^)|v5^k2hBV7}aQtU$*o6JHP_WF7mefY-VtYszF5gCZi(^-GA2`LhEc+k2! zL+S+c%Hfx6CW>5e>_I_|WvG2&KX4faFpfdEeePHe9G6S#!`uQS>Xmr&9&=--VtnJ+ zNf3~mpUtf8I(#78t3U2!Apy#ar9u|yJ^w^7gDn2F`&c_cbT${yrW?DH8 z2`)mlL3RQMaCbNoF9Km&k0*zxLUDWuU?o$Rlq zfm(}ddrs2?Mm$g-lCjOOJ8>siHW7q!@~(o1D8L(Fvl{h<@HZo5`RLIefPipchy-T= zp2lEZk?91M8!k@bW`egxcP{9q<@ZX9v*X)$&E!vv0J1MUloaTWOZl6muT$*8SJkztQ>9a-j_p_1W!xovOnvx}rn;umCrx%~4fW7~ zPwQyYZU}2d-oFva7$hMcWI!z z*)lM?$O(qakvfb`S~&=*380+R(IrBAgi8J#z0o2iqSq2DC4e{H+}x-!u~_Jz)Ogw$%de`RoHjN6(Qp*D5Kn(X91>0Jw(tynYQ*+y;O~cbW!`h+iQ^ z=5GO}7y&Jq24Y@oP*^yyxK-uLm9^=HEc9kycyF@D2B>|BviqQM_%JIRKxGB4FY$8U zS!qq7?iJ-qW%LvgC{b=chSMy_2a~6f`&>Bd0(lX3IL8}RDq2E;#am?2hEX?VS=k6h z)8Acrk4`ut{W9-#wpaKN*fvKH33$UQM-uIv9BVe{tamwZWaIgQW@3+y> zBj9gogPHXfqe5fFLPsT|h%fSPs@fYnNLf%jlu->|5ejN= zl|_w#cLhB7UT^Vo?Eltx?ip2nd!Jl@W)FV1K8~pNdej@1el>ip&nMhJB7j^X<8Dr@ z#-FUuFnoTBvy31{ zc-v_hiQ2)T#bi;|dVu-T#f#hm+D*89m;Hv*?`T7!cN2ddTzKvY?bO2OpYlwB{m!sV z_ip|Bc&1VO!im_KAz1gE!&qkm`R$As9k+}v+ji&Mhq4xCKPv^+Y&Q5b|IUiGt=nfpXn;|=JR8pRMrry13bLl>vz}$Mbdv2 z(^K?>8`hkqExe#|UmNqkoVgB~XAFkm1*>Qcg)uT>|3+dUVdk9meElcnplLITkVvbl zY5bCPh#+*)d)@iXD`>6P>noKT$D1_0Q>M4Pi zK8%-a%c1aXe&@cO&+hLYXn~BLTPn_!BP_DHy{vFmXSNEMv9Z7qnz_)yIxDX0F-0Kb z6v$)okeS3=nCohxr)`?}@=%NUSnp6(6>3flDxqBSQurXlZn5@C+m zYOKUp05=**H6;|)041&c#8|n|vGVW?kaX$0-rNHZh(9%ec~rO*3hF76U2Q+^+2r!n zgsVNH-|JQOKvAcaZ8PydgCS7vd?V)Lpe#`+M1U~Twus*8loPIQ9^f>N?U~$UQdM&+ zJp2G=IAyRGL*&tW&wAYbj~&f3FNAf5QU{Rer#^7u>j4T9Y25n0=x54faGyb2LFfrC zV&aHO5q+#9r{*IOdi0;C7pBD zI4n4C5E>imN(|Lc{rnK1%{j<8`mof^&=gIaIwldsGyxUz{#{4Hg(W2)8@yX5B$VU% zbzQ*-MuVxirbEqZq0`5Ns1`aE*NhnW9-^{6w$<2*IU7^U%=6V?yAt_15$(YNNrBju zjM1%bL?WkE>f;135AopNzthXJuB2uWRPOq%{9(3$9G`tKW~#!i6$;tKyM>2$?sTfX zD{yzSI&|d7K^%hi%MUu0q3F%69=zqe*$`RFS>fD*xc&282=2V-3q8clBFMWVvv_!2 z?mnHz(&ZAG9NrX0>96V8319b9hjxe)MPnZH&ok8Vej6})?tGIbkf+Rh8u#S68RKRfv8BP4$jUHVeYuN1bZtas@{O_oCESm+?Y9lsY3X5g>@X zT#3&vPs0dnkE|pd9))HH@jSS*uX_G<=ymmn=RJHTs3}la>0~7M;?TJ|coD8amkc${ zkY-!fUOHCJ1m1r&zWV?~Tqu=D=b&MMxSwQ0OFU!KDC)HBu-drAraDKVjFBVDSVMPg zYKjB`wjgp7v;YdsSnYWDWT|2ERRJ3m!sH=62q=$e)hkdalchmuk*Ln9vDg1Tbo1bf zjsAX(O;sIa3StFD;1{sA48O10gJ3(rI2bitLt&NzRTSpEwa6~az4X`owvbxy??oh9 z9=@kQb^4b9T`%j8U2GDYglQt8n8ozZ26O6GucaCbV4ZR4?NHZotzH}QB!xMb>+p2?m<@H6V+QfAk=ah{vm zS&H@@jY{Taq#+HQRRq_IxWWK;B2i`}K^bSw>C5Y%Ta~_hMI-${!YvD>;O<$2yG;(@ z$$b|8LMIbggNtpSaNQt6z-`MxkNKOpK~z+fcHj(VT7<+4OM%o8f>@FI(%rpYRdo&L zmEJ~&orAe;f2IlWh)dn2s01f0chC#n+@Ec9xdw*XbP~V|^F3i0O7ePxW|zUZL7o%* znQH+v(LLS{Y$}uWizis~%mR0b{ulSfu|aUyI~`UZ|7d~HEWDDzB7{8>LflBydX`do zJ{?L?h@cQ8jGm5{jCvjlR|*bk#0JvjmOY;cY(?)yIhQK8)g4llq~mb{j5?=sc8W-+ zIZQU=4B*)uU&Su3=DX0Aski`cbeB7-*||B-VE1c;v z@Yy`*YTzsS;D-y2^QxUFIQ3syJT($e@=EjB>f%B|?x3>XJhvscPI?)sLegt44}W=A z{`vkzuzRv#Yes9m{_>}5EKdt$rHh&hDtb$|_jgsgo+6$)8yyKjn>=LqY79O}3688m z`@lxttAwuwtt%S)ON#GlWqkH;=7N>M3UdRmwPK+K3{^noC0cl*;>8&!W%!U5zb*tY z3^h@NAvqb1oAIxet!H{mZem11OHWTyqY(&B?n(OcxgyKKfE{Sc_*G?!8yy~zKKRlJiUs7iI zn;`uOXlpY@N)j*h0=GG*L3s^~XJ}U*z;lyG)Y$H(i!3p&Bc1Oa_N zJfw)nR2`d(yPy>2$RFgn5!aW82vTx(E!_dsd0May{2t?7KESZ+XobOCIIV1itTEgj znE4z8ScfnxLWu7U@kN)@s-8#xnko~v@@V&hFwkNolcVPpK^TVIWBfal~KkwnYrD@hTcE4GVNa2Jy{==HYfLD2Ns* zX6iEn?Vg7Z9STN;gqj1wm%%TzDNl|aL2zXE8$@PRE^PSwxa9Ods3RH{VvYB^!h%La z5u8015?Q*q2o(hfXgu~p^2)$&rQh%XCV`@+qM?BanDDF1qk4CYmFBa><W!2(Bdi(C*M%&kH`BRAvi1a1F#>klXo4 z#>X%AUO@x8cmRNTs$U^TC+5Lm?4jIWi)}^xcwxUrw1zis-rR=^2V~e_?7RmU*llBZ7tco@}paUE1`RJgi$ zSHmXvrsaOsZ029`A5-MN@b#TNCA@1FH}R{6J^+=WnB(YCA{8Vhu!e>P0l1ScPODMb ztPE|;QdLeXYh1qyL}(v|o&=r!QsUL>uq0>y&KfXX=7w?6rBc!jBsHPj8${*T zc<(F-yMg_WaD@|`igIfVT2~tMn(C;~?+<@KQK8YGv+gz^6+)vT-D)Kw=V?GEfhLy`Xl@-I<2dd{CJz*lz?f+%jq7Uw z0Fn_0ZX%LtLK4eyr5R%R*N!*%2XtwmJ|%{GT04y)BP8B-83%+P_&?PdL8kcWX_~hf zG`rP6AHY;$^bf^8xPNAI21G6mwkxYT7dzSxcJ$lUtL3XJJ{12VL=Z+YDWW=h_JYp+ zwQe4iUYHn|T`C3SOc?VCDg8(RvhRHrXHeqlLC{(c0qJS?vLiZ0m+?hU7YRtj=v>;K z*6!@)JUHq5D{N111){E=N-?HVd!fITxND9zwbxFLKa9wh%8*4pb35_TuBWXMVF$#L zHsE80WAH|m>!>m=^oIC$Vg9@*yY-Dqpyolcz@g^Wdj$%X8YECx*#mL3=H|6RbSL5- zuzX&m{aaeUlb&lT%5n{F(%GUgx6@!fC{O3b$3jnLAAP>F8{hCCVQ+K;{l*%v=&}bV zTZy^_Rh)@QuhAwXv7?HqQszKd18y*s9PEHO{Wa1la@gVFk{umi)WHtP&1)GzP z`13?miMzE-IeI2TmE>QVe#`T#6i!=u9FJ@^;fv_b+dO%CIa z{T&-KhFJ9L$U+i#-3{XRbyUJ{b{8$3cb04lVlP>q`Am^nzVY+On)|j# zv)V~&dZyJ0gi^Mz<*+s@9F|Z3dF0|LZ@vbr(7*g=i}PJ-=O4QB!{i23R5U9h<|c7Y=Mi$bym!v=>h&ex zxg+^qR!Zva?|bj|I~`8Xjl0f&d=7yobTPi-VH&T)Xa0S)knkK>9D&hH0)1r9Yu#43 zSCcER>$UE_tsY1 zLmOB%Ky{K85!9fy3PaK1@h|M=O)3#uuvuxW4XOKwV!?#9eHZJ{)^qQFTmb3(E50zQ zuDY5;QtSfRZ>^a@n60q!w?72YB3io747gjgBpT!Y6~)q~pn>4*)hnuq>+oE#dL3_6 z&PL&46P=^Efm1azws!}aH%4)UIp_2+7nP17k#Wv)ev7NYzT?2Q-RjbfwVfx&CsDJ| zQ0}(h7E1}?)xGjN_$t~MQi@{k;H<3locT?7c6%5Mw^Zl)X~>)tJBB=jG1z^iqBsv7 zyxtM_O!Q$4a~%k(V%xcEdR%Eqb6^|89);9hf!mL^Qn&|#Ewt;Y zIhe(=Kc-aXvpzNK?`Fn*jXA&?U*h~mYJS}4FipOVN&6#|+Nk1*2-LI$i|P^PT)~Gq z#~)COs9zoK;|(|9*5SO_Hx zzq1Gn2jW$#8%sVV2dK)&{r?tqcGcJ7#q2m$MT>GG!O)*b;-F68*3UqVo9S4l`Th#B zSFT26BZkcpV?VS$jfZcIetlEV(}J>)$!TnUaO351<#V7-;Z(H~dZ63690#C<^DU`_^W<0m5lG`WSfsQY%nL+GmNRll)T@9#x3 zjuzM}d1Xg-Kq!nV0{X!nR0$?o!T1N<9jlzvRr3(3QsQ67tsyq6A^3`-xXe(DJ8~5xTBz%twO3A zWORX#UZF?UK!9!tn=-DjyCw!G^@AeFD@^Ebw3BP7+bsMz3=Nw+2uX&oFE}CHkB|6- zvCz}(_58l48RHDF)nw6L+H{xC|J;yq3}dPYobmse&z%jDlbqJ`jNgkcBPA^%mlXO$>4|fLuJR)aqU~61 z;6s}Jc$tA*d0~vzyY51p3{S0yj~zzfqvff}B!hL7Pj1)U2hGp(r==AO@$l3&Cct}{ zM76l~6zZ^_E1T}H$S(#YvH%F@_DKIVUTy05U6G@IFsbCA4gch4XQg{bt(NDRf{D8UJcUWgQtRJkTu_U4JkdiOv4&`m6Z;|1rh zN1lhw(?{rw39@9nDM~5lx z)O{~Oa?Yk7_Q8CFt^$Clx75$U!AEyrsJ!FjLd7|w+`i(=BeM1DEZiQeP_a3ve6(%~ zyc&YT6*Z{q8m(cfLezTIeP22zbm;1X_i?NL>1=L3GJc{^&G67!F~iDlu(+s_Q*KWB>z96ZN zEa0JYKiHMj^c|bl4vKc)!50cE44a8iA2v7e+k9Rt)cJVH7Ph@gtCUm zXK~s+zB`0!ISNj~Umbd({Z#jx8(^4OMM0{ebY%q>kParE!yi+x*_gvfA+(tKhxRq%&{UX@7!)G^iuK~;SXm-pH6VCnoE%z~j_b$DU@b^Pf zl7Ei`uLJeSwPO-ai{7QqCw#oUS8V4O_G+lB2b}m@f+5(2xYd8asjCOjv*sry>_GLxUNu=|J;IXl8O1gX@*(|8xtN&P zP0ZABU7NHf!3+4~wxxTZVZ7m$8|~su+~a;2^P~pcUjp8Tv)WZ>1-?NI7|JXAp+{f( zFrJ+b?wP;3?!X;F|Ew1Yf?-3>$2vd!M>D_ovC_6X{SxHtgG#`38c67UgHhQjfoG<9 zfnT!>QUmw@`3s@trVU4DUJPN%U~1|252aCLm?0@#hQ}ABUPlZ(0KbP{q-MpJX)S-) zbv#y+lVIaq%1H|5Cg}`I{w;qVK3hJ5Eg4*fvVY;UUnhtg!G+i&4!eXvBT(48m-%n? ztV+*Jc-wKjBuvA7|9QWGU7PC%R68X$mdS@7D>Zk~_${X_TKVjo{fs+E96POupO7D@ z16YJqmx?E{uH%QVqu2o`-aT0r0^Eun%uBphZEx=d=BCd$^^7MGo~dJ$X)H}0fEp*= zpsyTYG<5*_(C*aNQP&~0`u6uPq&~?_W%)j{XQ%_@HP%lQWhBTeV2mzWXi z;TkL}f2w9 zU;67jdtR3hVTXFRo+qr*!CEAG%KhlAyM9+@Px6ASvLiu%^#V8dfIo}>EqeELD?Y>p zeDRQ?Hr1^dzEG@$&8k@~jzktMvi~|`NfM!hgb9cfEFCqHy+j@0)j&?ZHJMGR89xs0 z8wFoW`hE~nig#L>TFhZ&MR#A_s=#NQe>$yvnzpIt0V_1R6sB}EpUx*aO?k_guV1;H_K&noElQ@OsZ6gj z%{b~9JXYbtdv`>(Zd38KD&X;$`CqDC24#dy;zEk{P;Su^C0|HuZompOSAC3KQOYFy?sg$%X3sJY-Rje9p1R_yVXKNak< z@rBZsXhn)_*>Wr4aS{9pw<~6Y(EgbZfJl96u(F8AK8aWNpnF8IbQZqPgfVntw6DB; z?CO?jlg3B?XA-Ge1-k5Q9N{N!)SrK5$gVMl_*A(9Q7eO7%zWc{Mze1u)}RG6`*A}B zR5Uos$hP&N23=pD^yvUep9C*qqQHZ;9KW^NPHq4gRij}F7Z!+PcfL3dx$78@m@hLH@ZxlAf7G*Y z-~S(P#y5k7_YITrxvAD83AxSjk$os_FklC*h#E4;Q*sG>Cr_PXq=4KN#5N2ex!n1) z0PXhiy=^^CiQg}F|NU4&v#PDFrjs867A5dky8Xoux*Cye4%Rx9ZCp*3m;d&pn>NE$ zQEs%eEv>V)l@kN^yK4TbXf$>pc)DAmzn*W@F{F-}g~hIIx090-8GBJ$kXvuSv2D_e zA3CMqCGXFdlb@R3hi_Ad4-&MfoX#rScyus0`{?6v*WOfn`jolUDTHAJvWwo`^xr6K z3{L$-fq?o`5E z<+bP~pS+X(3V5VexyC63wFYG9#;ow5{?KOr49qR=}LUtx=UxUW%>nDPKciljQOjnH5=1}PW;=pi|?ICG8f`NaOV`dt$d_=%BQ*2?l&1?R?% zVbG@4Ndt8V0lB4ihe#8f|F4?8HBcv4S#JA!Tq^wp#U?$pxU22Lcp8wMKYiz;Y?B-=Nub_aJr& zpTb#T)b88K%NKlBSy;oC7P=tZo zkfm}iE9dkh3PaS5?(YJ<;^o%ziZ_|QvmA)x^n4&tt-%q}>KQ=2H2tiH&%U2!@jS=^&IS`R6jHi*OH$^x|Kh#ScSCCG!tmy4`HMezTVnt5Z_kRtu9SCs+J1 z-oJ_8yqKfumXFy$_ad$%w;};ugNKf1Jv{Q9f7d0c& z=QU}U?)@m^(G~x=4jss9=b zzrGZ0SV8PaYC_%pUWyu?C3d66i5n0ms2m4!NBaHbIiBH1`n9sFU`O>I!naP?tf);}k|u{5HOVf?S=p=KD$3YRp4G~KoH6WCQ*+9Dc@7vU=B zTuM?w*lo-fw-`UEcn;fos~eKZr_-G9D39l@#PuHP-00*pu^5lB%bI4(Qtvo~RKU^u z!*dwr8WvfCgK;}rb1URnlU<8(ztrcZW7sv$^p$PBbrh#g?Mlt)oq0%`p7QlsDYI$O z)B?@n`x=Zx&+A9rac$Ul=m7gL?ICXN(o#~M&r5o$aJSw>rv&LQNzB;%l^DjFtqN?n zu3&EJL}(5pg@cDDLznX?oYTGy59^@t1rPO7>d@8a%;LJS!ob!p-o1YcRXlBOHi==n zREieAZxiM1*+Yk}?oPdxAxfpLIS_#HU$PE*THKR!B7zQ6%bgk*@8gYg&_dQ-Vr$NY=M8T zewIAEs&NG*U5bq4lCJsYHhrc@AIX;_a)t46y|R5E+zD}bb+2NC{ogH0FPs=kT|u}< zM;-yZPbp1F%OiHUGd|Ee1)fj9Bx=UuQAjn5KxNz7~w^CYSBleu|kLPqvzbus?yg7l3`rO}W zAdqUjD%YYPyQ%++yj2ewoADwX1PRL64Trp7hMXvBQvnv8qJsO}ZN-WFp8VYE-5V4D zui5kS1pIP*kF6ZWbbleh*$jK1EkJ9~0V?J|TU9HI$jdg5Xn!jfqaTq`>Gjx1mvhs+ z+|M`bgJj!1nsG9(wC_Z3Zat~!b80(ZkP@+I0YFf(vIo>yOmmO#dS?7is1}?z+AWM_ zX>%+*=%5K4vaS+QRp= z_aB7ZSN5vL!7_{q zVh64G7;7VF&_O;I!p>d1Sc|QfaD97uI7(UO#a&K`xPz5om-=pHa=O{V%)sEU-S4zD zxrLIWHE#Gpq4vaS=<^@*&q-vb{uKNTQhdHr=j5NqXjXdS1Ai*Y%f~ip!Ed+S>+Un< z^o$G}5X~~Lj!J@>!hrrUgTL)w$uvZ6fChhc7f6DLPR#Of_yM0y#i>j>JQ%**BtxK# zzlql)WVJF14{{UyqF6A&)dS&z`iZg)?(U0@+h4rbd~yq^i^cG`Pop z{`^VYgmA8Cf+z9coFLT*PXkl+h;1icSD<7^$FXIKEkRTv9MhzoY`^gDN9CK&UA}w} zbSElP)iWE%6ZzM#mu8$u6RN;5YTcWANP_co7l1KdbmfH9dFu}b(4Lwm)a9widrS%Y zYWZJ#7VqK>Tu&LdFE=(c=!~_wWtD^9D(}`~+;v+|%{Z;UST$}!c-Lb3-xT`${)P=x zJyzOJr5uH**3`=wE`$#aNbgM0$F}I%sitQ4mc8~*$Ap~=%b3+KPEJny+4Si}*a0wA zsq6wcOF98S)y84?U$${BMw=C)$aL(a|MD)qMWgFbntBdiLQLfLJ-Xu^7Vb<{EKXkOlW46k2hWcGd3EQ`9rfz%(2}edlI`n5e3tmx zn&LNa-oFDX*ljNMH|I(+?#p8b;!^1`lcyML+<<3JBOI=BQ0=X5yo@yGfeBkOJRI4> zZ9X~cgC;;Zt47>8jQ*Edist10U=zT{`8^T8ysLAZKJC|*1{TJICL%3u6Ov2!#m5(p zUJnYA`XFYs(u78X$xW}*qT*Bd(!SWOrY@KLTn)g(eE`6nIQVQW?K8Io*pQ<;AlcnhhW9E;UN%Sru%sTS=d%un#cBcvxAb zpRtxpXjl5gurV`p{yTJc`_&@f|6o5OsUo%q4w{-lzx|HrXg`nt2iH`)K)XhIwblF(h-9nln;996qWEfbBk+Rsoc>q z_<_pUUJ;Q4sT+wG^8aS1~i#> zVb~}Zv<wpl1fy53{rJ&l<*tP91H-sHX@=CAlrFo08kzh|` z#)52nBGp41$%kc81^kbg2m>TJ&>VgDu4B>jIO`*RYM3~Z$s0M^QRxNafXH&fkw={L z$#2Fqiwq^fa(VxI@0?#BMn<4l^eYPvP)S~Cx}N?lIkox<$1Oe2K)JK^#)njAs4($VL&Jp4eY`*~T?vFeF zS#a!+@F+t)&)lnyj?vXoVF&7H_m$57AanIpCeKk&-0{#)ogZQ(bWRN8ton6is`?_( znCA9f;Cw>6Qhh8l@4xj52LH|EGH)NBoqtsY0f{)2|7p)+pkT~ZkBKAgfGLttvd<_t zITWNsZQ)0H_uOdATmTZk*tjCRfY9Yk%rUb^b@!Y>J6)9dtit8vzwUyA zGbP6T4sr>^Ql1PzLC&qpKo`yc>CizacuuN=w87CN|)h4?M5N@c{d5!1hpA%>vE@PZ(Hbl^VX#BpOUCI3d-Qa4{vTU!0*-aNb`Rf* z3JsDel~Bfv6-fx85``qQjAg3uRK^TZ#u6o^2qp7WhB8K`kR($?W|BEF=3CeE{`daB z-|>CN@$7f+x2JO7zu$G8!#dYmC-GuMUB|aHT;x0zcaF;rO9bm3ej}Ahia=&0Ds|Ha z&=5d>Ul`$S7$X+hV1oZ^EsoUH%N9RI79U`;sgQ4@6a~h z^6`=1uyuN!|I9e1qkhF7@|Xu2-~y;iS6m_r(k#P=DgER(r>z>I>)*IGLG+ArA^*~X zv|hpW&9RiF|8N1)GUq5i*W0UhhW`#lcX4M|#FSHV{3lb~P_~T2yAEiFu9g4%`DKLa zgJY4ON@QU1=rH+1p`{hpSvws$|D--&xr)20(|tbIPLJZbOYXD8C-%haTSYHmAf^bN z3kTYk(E{v?u^21eO*tF8cT2H})~N`h?*UO3I~dZN-KW6YXYx|>s&dMcrsJ`t`?o~0 zJFNUrUxuG{Y<@Oa)D~POXzV|Bksm|&aq#7|Gv+rg%va;AX+6UHx3aRb7o4`OKZ{Uv z;Kbq|pWJc0#3|IyWRrJxc^;5ZE*Nu3{SKeY!Xu;CcSmIze%N38=OdX3oXIA=x6mwC zw|Ii-g{gT>G>wqcqkpyxVHFv|v%vI5Wag+{#!~~@U-sH}6~0Y=&X)OW_X6Y(S;rj4 z<3DwL^*x1diU`Fqq*WjP>$#7Ne=!LKwDLV+Pdcj~g3$$Z3X%IQ=@8Gz>IqnL5FRq9 zBVd$oy9&a3U9{}d6$h=MfdM~6;3#|5UHQ^wC&xEnc1&zY0lf7>mIwc7wsl)Lh>&Cd zrdCv*KX5F_zEbJyzx)A3!fCAcW7o4J#1738LEBZ(AI zwJ%>4C^8p(X&>DWymjKkjsA6#_ifu0F8A_>U8NrpyY+*4{z6#7=E4i5;+^Hpx^Ft3 z{biyXDi59rurxWVtBBcH%Ko7Yl)#6f=X8r|AX_$w5{FW2n*4xu*^`c%lV;GppR8p<*BVLnXOU)Rh}^%0wyYFw=vY%u!wztI|zU#GdN#162t8odDh9s}j83}^s@ z&yGP?p2yy5C%MhUgr4s{be}M`+2{iLb4`7{Cjpd&=?(Sv!cO9CI<#bgBdyV|fMSIhg)##xd6toW{NIL|-}I8~8x3 zDbw^=lnW4VwxB*tgD_^6M@{-c>L%v8Cr_Q)gJx$BkU|RwP^S1^%#b-|X_@Iqr-X0Y zF6jYOZO?(e<72+U$dOBk7Fnh5Bch{E!`P1ds*X;w_Q}e;4Z8WV&~4E_xN$CE?S02} zst$j~jVfGTi7A3Jqh|ooLgpw@DLc!dtLLnJ^d>`^oq&lSk7vN8uq4#+8y#}JX#aN^ z6LSny4&NBx`4(%j?Tj_)&{doVKk*1LK2}n#&Corke*I4y9qm6c@hvw(;}H z+5s#0I5MLtcUx#T$xOU_^@=ax?pk8GyEI`4Gcm312fE0GI%^MZhW1#k&C@K5(XzIS z9ywy5+XPBYMej`KpgaG$WTwN{eli_~9_H9U6Hs82$$c4xWjD_j8z1*!T%VDbm&d>d z{BAZL`W;5l&ifRF5iX2olOoo?bnPYZ%Lk6h`Vn3ZUqJ?ke06OjhPEiw(cj2uUA+C4Nm z&yIm`HB6Y&^*OBdF=%m|-v!7Y)*qUa!lw2`AfD@}y~4~~r}pyx$0y)dY2yqzte*av zXc;a5LlROSV{L_nt*<_4{d)fmGV}KlRwgE?2f4D?WV4G(9wk=%M~5Z+fG`wNTT7=` zX1Pb-J%8>+a4BLhV|6qH%3ln6HaAP$1MbEMw_i%Asps@yuF7YV71njx8rxKOFWH2< z^7C9B6QsE@eDc72c>9yq>b>elaelXlpKtwgW#-}{jvhCzozNASs#%OkeSCk)f1u-u zHP#N28SM%wYd_$JffKU{4k=e+q~j*Krzg`znab2tw@yJ44*;tS>tg(ZX|`atv6 zN$pLl`gy;1F`*TCt$GcVQ6Er8`0uXZG-S!0hbL#s6LTd6Hy)x2vH7Yo@Yu~5wj+YM z6=1YKW_6Z-ymm%!D;t|X>_}90l>S+OPS*@j7CfuvV~ZMCR3C|iK-1v;YSINBOw|YV zZr!@|c&-m2`&Vy0jgbC%ygjmu5QYSz1r4_GNea@3PzOM|PY0!GZmo?a7|5H?GH9L| z{-;aEp_dv*&Q}VXsXv?&E%JqG`1QgYJZ>yI3MhY~z8u*naT(B(dXr9cTr8&JWksM7 z_26~}uWf5@UwB*Di*|?vpF%iFQG~u-wP9a9m#nR6xPAlI8p{S`8|t4S=vcPzI&DfM zDd5bST&Df8qj_O)eKRR0vJ$jJHMWq`Z?wo ziDzGJWQq8}2lK58xXx9S zdQj@^M&u?kH{uFJCSEsL?T8EprIIp0jpFyr)TL|Rvx^2rGRoVkGw6iZ=2Pg4!VmnD zNVQx0vvVx9;RP?2w_;q6`+sbasgQWlb8&CahPQWk`GXE=upGb8-n6cqzGM&0QEn=Z zaSn1kCexN>SPrSKTm<)VzbiKnif(1AtuLtEhE`VhZV-r5B6<6RQ^((3GR_)T^Ruu{ zZm0A=)d^Q0af54(lH&vVw)PyXvsY*EXX=?CCLn^#4Gj%>?9ns?nZc@=y0;s*bRB$) z36PJ5Ic%bm8zk)7LLaxSK!)9* zG^B0ga@9Ac<%zW}_-voysZ;R98g_D}Cdc1Mb*9OB(iS5K9>r5kr3{I7%^y0`!CW@8TcZ=H!?2auQ^r-t~}G=Qn@$ z^nh-Vk5zQi{|uK#_w4F(c6E)z1_`n%3=zi{<2mdVC%*{I8od9#&k52?;8!3B6x+6l z6LSGG46=e92w{V-N6X>}NNp)66v(zqEO!dtb%X`eUKZ*QkO;99D7RqM&Dr?^fJWk+ zckZ=B(ppX){`yUre?mlzT{&Aa$LgjQfrR_=Grvx15dx&RvGu^G-T9!exJW7LPmt(Owm+nsluzN4N75BfK*20IDn5h zaB+V;m=;?%aAi-zEL-10L`KH&n#c6ilsCG*f`TKM{`esnkwsyf2kvPJv;{%z)4}uk zQ$qvm(_Wl}vl8jTHqkgiL};e?7N6D!UBVAUqeSDPcR#Ks;mn}>&bM&|tA zi$+;e32DpaN^w&;WL!9N1XusgoEjQVyVbIcB^*j${CrF&P|DnaDd7c-t^#edWbqBi zS|zgN3$r-@E2o|th_h`3{XLbF|A))6!2ESMT7LjQz|>u}`)bqSH~0d>uwgm2uo=G& z3K@~~@IE($VAXp^?4TRAH^1>br zF-;|-97bD&31*3U2^}?ANb{HF=kC(%GY}naFP`tEhpX;xG_E*Pl{gdP*MGGQv5aex zoQfhuQL?5=hLQf!Q2};T@~0iQv4*bMogWu7$RqT{*EBzY_gk!tV$Yp-{C;8&6!_G| zDs7A_Sf7af^Od@sMtY|L=P(aeW=HMU_)IR{3RZx!ZEi_PVM8m7*F*1RRmN;mSLRm=e z%5{};VBCWJ83>cVj!I-i_#B#gk?^WznqUDeo(OF(aDj<`vL@@-RK0K*6hsown_u4x z9#uTlI>?}SB1!9|Zu`>g=y7A$5gzz1`=gk(#y0c?AO?@E8^OVR|0RxTll!h2rri(X zyfL^8gYqcgUpt8-8?qw#PmW5!*hF(5u&`;!|F}FBjoAU(zR=gf7%vRF3nk8A;8vWP zYGV)S=}AJ>L#=SG!wffHXNikTNzBP4$A%fM%k;!n9dk2;m@ovJFVIwxjr5=i#zj`5 zzZHnQ)4n!(QQqEe#zPPU1PS5dyXfsnwS5xZspa4_ss}~S-X(@D#iC^IHohJvrFsD2 zt-A^j!x@PW{@CCc1rWD+7%|A_Y!PgJo#Rk5^uDDNiSyjjt2fZU#3-;ju4CDaC}_`sND$F4kxY}I}!Dk ziIx7!U4MW62hv${1f)37WGB}R(YRvA(VNS@+ z{Rl$dImt(mh$%*NLlg7yi(dZK*ybF~MUfmSU;n=M`ri{9ceTe|%Jc(~<@Fo8`ajCf z*Rjrs{*B!~8^3ge$rIR3wQ8cFp;5}O*2$IrD2?HS&ZQ@z7>NGbOfO;D&#XH<%CCIO z*gUBL?X}>bclVN%Y9sW4Q>+|zJxA3W8Fc*mZ#GVuum(@s^*RjLQzrW2OmW z!ylQN9^m#Bh|f@2Z^cLl_Ae=?*9U4ilNsb>N5qg-AhDK(?H>$di2HzODLR;|s>G-6 z@z7NcRM%~}_B$v+ydQ9nA14i<-QT%?>o-_}l8re|YL#SVRo&xi^m_piX(d-mJXZ5@ zdI(K{SXw8rfIZUE`c}Pjuw-q2W>RXl+4|n$&B}0|LQXn2arWmn9)$jcfF|f*ql~K# zVT)`*E{4bj(@CwPIAh-6(iQZc62CESm|&U@-9-vV9du=o#|jzt)v|-9elYv%^l!M6 zNIf`;VImwBw3-ih11h&mAciu~om0G&Z+&SjUP~d8!M=LqO(8(^2=R*|^duPUBtJr; zX6N`KJ%_0c;N{P7!K|2f--TLyC-A9kslpbXW}jQ!XS9(-;^S&SbPR2Jli=p}@&-`xEMIhm~40~V?sobpu! zv(ZgtdlNn=i`DDxuy5Kbv;j^Z`#uXG0c&Pzllk5`=@istVjmfklrhL*#pyL`TK*n= z*aMF>`0}9MNH2EE1R{OVwF29i{J1Y8a}{={iYxp*h!uHBJ#LslG)vj^abd>Us5D7@ z{m5$jf}DMjHDtQXST!%n?D~W%jQV)gzpArO-f7+pW~|Kgen1zDnD$XZu|2feA)V=^ z>ci})>s)~FGkr7HVZ;Lkb~|$`)FLP))q=?%oaZ-EeowQPl_h?{}JD z9dB7jM@RY_?~;=Kg7?_=SC4+vI_u_WkST-kXg@oT-aE?8Hkvmw=m84{j|s3b^&phP%J>xT_WFC^a`yKLu&{ zu4Xuk?AX+`T!@*Pu!ZC9z6*MA3-EX}nmTKbw`AImHZ(2NUKQ=WG{qvGV{ ztxWdnfra$-sUt=FpNpG8Fe9}2{EL!Njp;^5=1Nc%?Dwwlj7=>JC5-{9=F;wINVb+M$|88H_!=gxG5iaK|WcP`9;tgA1`iUF6wy(1%0p2ZhXFsS|=1GqwL<69G&i1 zde;8z`!n_H;eHJ+vJEl~zfe0}v>Goen2C03$f~*q{*W}KZ*GKt?9&s6^U14iVR41L zx$piEz|&;6^goIG?!f{t7K07J)H|_v0R+yp^kerXy$^D7mL`;>+-~aMVFO$6>Ix-(QJ?gsF)079noW7J}Fi97WQj!W3ojaf8f6@ms(dQ76J zUF)T(_Fdp?LYqvk00opK>`9+gp8sV|8XpGQ>%`MP+kH>McrDUU+7s!RhY$VWW%$_8 zx1!cH+7vZes$(23)4d(}UeC(&B2rFNMMjkHd)@Urm152Qnl5bEhGy{i1oJ)ppq ziPCjm`nkZ7)!G>zP5OJf}8CC20-wT`Y)UTOmkqqASu4dIFp;X#u< zy1GYAkHVUx#&h`Cv14hj@dnTo{XISj0xpZWtCgi?ECR zJ#dO6yd~`Txtp|`HxC-KWBnZZ>{3Ln`Fn4`wn0k%j2h~`R}pXt#UN8lQ6@T?GtW_z zd7~dQeD_ZPy$HHNu;xKO4Sn|cBc|2?*h*GvR?z6Sna*X`ryLBu;#du#;bA-Mxc72r z{(IT|+s!ouAChSy(b*NH)A?kUjQ%5y+LwZPRR!vMB{L0(c|f8HL7y0lSBdLhQhoNT zajUMVylsv?V%?XY7M8c$7Nz;HLKU|NcIkuBpIvvp{H}LkTy=K0f!2f851mDq z(GwoW&R{sB+?s?hLEb5l_beQ>#+7>^Ap@feMW=I%MKR%%8DGGFiAT26TjpK?9+|#< zMpF9@ASAEfrI)G1YWx7RPo^bf(o)kDE2?LnX{RN+%>HDCvr{0b2&_2*PXT1~!R901 zb=IcX=|LO&v(x8)te(p4MF1eP4l+L72qR*g`9lk4Y0uT3NlS>}Z!rwxFd9SG(+uEk#otL@%wWGWB z(}-4f+1ni5EAOkk(O0@0haIW$@g)t0ps1-`ori%#mtEN2x0v_J`HdC*=_@j#p^Y*5WU#0OF5rL&3lp{1?x{RQJ!PzZ0ITK|g+6aEHN) z%-#>k%=L1Uc{a^-cwFm4SwEQ}Cb%a*(@(3!XmLT}El>t%b~eKX1V#hTaf3+V3#Y#w#3ra_tZet2rA;@q7dIWX)9c1TlQ_# zE;820U+$nLjDk@2RlY8Rn=v~EpH(QZob^t%et^dZE^Fy((N`1={U-x{ujrh>(_T2( z0s0n_q{*A_PaJMQBEq|Lk3<`pLZ6#5G}B?LD?s22J5gT{+rb98rQn9?EK3vW>B>g( zA_zeoV*%*gh{65gyZZ0`pf8RS_&~NFqMvI7e$uEbhpLd6%i&)Yb}j$jPKgs2#ir%d z<1uhx1ksPjZE>IZMvOYjaU2Ok*m&?WFwm&mWsIL*get~rTmbL!63ipOzqVNE+RT2? zzl1@|&WVtsMDd|53FEvW=IC*Z^+@@o8P&AssTG!q6GI{t0qt+D44+h2msm96yy&jQ z&qVBN5qka53#Vj+A9llH0?`6482h93iX3iJSn{$)LVIx=xJLk0@D#?>{lS^?IZmeM#pO4{C7hY$aG z4X|^=mMxEF)y!=+ekFA@x`Q%1H+L-3CaV&#m#PQ<4Qc){5I^c}$AkhaPk*BO?LIPjGa=#23}@e(Mgf2^U=9hEjj~QYO=W+G^WFnD3C~ zoN%`PWos$0Gn4_Y=9+61PYsVz3H@=vhmWUrNywb@Q%5z7IzJ00fC$pGsDaQv9>>Ir zI9cKg20hAQnk#3pO~3P(qYiBdib%z~Wa86z>GYP1mi)C|6M=Xp^a_C^V|s zb6E2^bD>l9Wj5zI2VdHK_|A4(e5Oy34g=RTMxAP}OU_Isvb5|xqsu>oT3X8`d;f=G$?mM551gAl2QJ>I{j5xF7?t+4yX z10KyRe>^dofH84{(h^;G7ym=m>yW(yNV<@fj?Sj|=I>!m<8GAoY46r8Dn|;%BLZd5 zCBcpBl$zRuLf$fJ*99Xro|Z4K!J^Td#dW!paf(N;wyv(f14xPeIfMNVE!59kzUYTnH>MXLm}nNGW+7wvc{jE~il zd~ToKwfac$atm24+CMnCnm^nCKz_pDzZ5f40oO${3=IVE{4|5Y|EfG^Q>9e(1k*mh*pqbJfr*vv?u^Pu*58S}% zYazdbCJ+53E=5?xXwhy~5f~7*FUo+(N^hQSSw0`SxMi-lg1!a3r1op@WINwd1Y@c? zK;VO8Q-FLTWQrvM7GC^4rK*{C*{Eg(;O}Jzle2AtHBU~zGKa4!eG2%O8KRt=UZf$? zS##0N5m4WCXo|>x!fVEVsY8l^vEg8AC2WJvC2Dxzs|9XmhfL&W)qqk%H-ORQEl?353ZKRBP3+nJ_hZlT3-u1c#tUDeTSe@uO zQ5z5KwcRa|^y$IbcT$~-CtFC?b?WkMni?n$dE+}75+`T9$@J*&Xb1V|^(StQ$AcvV z6NR;$SH86(si{Yx$2|s$J;X+nFiRo@59mKCK#7Aty1KX!P+h0QGUAq2(g$P?AzqfX z(}iLLk4H=;AB-kiFuCy(vB3ez*<{uZeHP&wL7U^(KL<#clb`>Dj?Wr_hK&@$$HJ^N z7_loL%mdzTQ6c4((_2k`0;t$PN0%-5=?N1?y5z?rzY!^1jW7Le4EB4_yF5HsVrsV2 z34FD7`;(i=vI(s3#r)+qVeeq|HX1HM1A>+U9DLr|S{e$ZU!fCwJ$^7EC!saWVWfi}o~5zexx zVGN(6C8ZMzeyjbl?RYR-nV9zOJ8gkHiNGTCjg6iCV@3_`0MF9PtDP94@RwXc>LNuH zhE?=mPh)#1Uaoondn?@p6qksmB$}sAa)WEQe}v|2sDpNQ)%3P4hmICPcn?9Zk44NB zY+_yZy12R3+UzFC0y47N3%4k z$gq<5MB$VYmKE+zEZlmtKOLLj0h?G4vTF#w#|p6O!DM6|a6>W-BP%cP&UnIYzlGyq zKn{Lv|65&!&-c6mC0W(#c5u|2)_aPbTIHFYeY_Y0n-Zs#vDZAo*!10Vhnx%I{|de5 zb9@Ns9Lr%m{256trLVd8BwjiAJ?mjQE(*vz0Du&c*pReK%utaiyu@!4TS-8Q*Ykh| ztp~Y72{#XZIRQskm$xBSABQ-IEMUgrrork?c|32ltW?oe&z}#6SLA9v$T{h8n|gKC zHSJ{oNhZc%@1$#+^B9!wYcO1E16#giB#Q?xaw7#>|FW%%eEYcFZFMnB#)&x?fnBoa zc4=`GD*AS@EWQLM#SQ{NAxzmJN=(p6X~*YP?%D-zQCJmL85OGG3|e#?h6t%~#~fsy zS%@q9bM)&0-JKPD_zU1G_n9YfWn^oPZyHhRV!;sB4nVjNj62C+sFlRY+JkL|H{88=RkMX;g)0 z!&{F#8&R2`u@~^=2+=|X*eHwflNC7FR{_kZ-`x>ZdgG3*nlImZA4-<^VDV z2hiu~aW4ICOAa|;6=Q3EWvOm!cd&PO4*}vO;l4{k%1iYtHs;Xu{&aDr!Uq=XSl--E66fW)tUFFNc z1GzhAUZlUgb7%b$+~HhyG=Sd^_FyWAtZ|N7#xA$}s3|&eO0-1Q6#)i&hC|sGHrpgM z!1D_ZFtn}*Q=tYI55k|qG?|;rk??Z4GdtGtsK|XmtL0jDZas{r{5@AexzTGL?C1Rb z1L}Eh6Vx_`-Xg`OH@egqA);7i8yn1RHOReD$+iTnfTw{EJCa+YKwE;-Y&)=*V3{r8 zWD9)DfOVDo3NZb!s=A4Zq2s$f_Ud&<9bCr_iP5%3m+vK>CM`F$+RAPbX~f3rDDfPq ztH*_RFf&)IF5yLY^m}T%o&CyDh$Cx8(Zz3SN0@#qTt=t^g(2TMDv4@=>H;WFmMDS4 z=AJ?iLB12n&j+9_ox=%Qv+HcPRc&dlNLN7#|F_ozfs$%enV?Ia_$JR$s9X+My8U=a za#pJ75$R4vjzT3(4Ngm))r%aNU~6W$1{~U9OVfqoIqGQ(R<`YXvVQ^8$N2rQWotPW z!O-({9>?g3$1pipGBQseVTpM5r2>sa0l2}QQdfVNdK}&~01N{@8KsvRB&cn#SwFT6 zd*O2UpO%h(`uH(Sh_5i+%bvOm!-pV_pD(`M`P+v7$@;A1>z3DP9btxc9vs2qxxf{T zkuF8Lb4Ri)cU-KSYyH+Wr}y)~+;EvlWveFayCgj%yM;M zX!jnjejt@$mJo(3oB4k&%AJ+1YtR*0|JFRZC+GL%q}bup=qno+h^inlShh02XG39` z*ggOSynph1g}*)3?hb7l?C1U!^zV(f`h)f^J#iUq0ObzEPB-voiIIcmci4)BrZ%;B zC~bD^D2SEXR~X|c&gAdm?mqucOf8bZcCiB2!G#nbHH*6^rSEy)W}_<{O!y2jVJ0}U zk%qoK%Sd9C7@DbzB&3^wEAdz{_5!Mlp!+B0v4bxY13%+nK@gQlS4XQ+FN;XOnsF$!SgYgS{2vFpaO zhq%V-U5i=_k#?UKTU+`h{>^vlE)%9PJzD4e6d?hD8sI&{e5NsbyjzPQ?u*#uQ6T6x ztGxb>!HFL{foqmt@bLP#dLidTs?EW)Q}D?rPk7cw?Q}v@FN$)oKb?!`BtF#Ft3Pl*8PlIA#=xtopKU=4V+}67 z(||1i7#&9(PM zD6p?isSmTIa%rv99u7qp6py}Vc?Jy)$=7-VH==|2u z`IT8Xes1;HxRH*ocZh#uRKk^83C`HvNQ!mGt#?VwQHGPJE`p}?Q1U9QsE7kUS~J3N zjvvE3iJ;V8g?k?+{QOj1E#|WMHrmw3IZanhb$n|f>5VYT=ma-$YKpL1fhpBTH1S!> zf~AF%$J=2=(J{J*{9WGMd~W*Yc9as^D1?ub+1~_wx6Tt)#EW zO~qpR;hs<0gO_Ce+9Q6saO9Rn*mp7*7}~mh<9pT6meNgE5rY;?H3Cte-XuoGB|Fu1 z;74Dd`JBEW6CEsFgFSP3}6l<&B&fA;d3`_=;goz!oT3h}>ZBUTR`80GN^u1kw}o;MWBI z`Vu67R-ZATZ;=PXw`>zE$_0G*N(W(w{yCP~_>`qJJ_U>dTDotZu zTx~@Wi(~bgt;EPv6d{SO0JYzttPT6n<0evsB}22e+&T37r~T3%Q0XaYxEDin|TtZ}>%nmH=YYiQFRCsbv3bE@vwT8xICR0l+hebODCS zjL(85cOoY4D;W2At}Pg=l|-SSO*}L@5_df2AcNRk`u-RHzwu?R0|$UulVe>O`WlIE zpV<1kmtZad3^GUem0^D;YiwSoww5}V;+9JuQLW|^ZkIOAvCRmA_G?p~Fbqz>8Jj4Eez;cR1YlJ5@49Wy*72>fAr3Wo?xiaEs8ew4w~_|#F~Z-PnU-YU%F zdUAFvC@KQa(XYd3)ZhWz7wz4EV#E)-t*JiMFR1qA+IZ(-LIBME1fhfc*UhuU0#{O! z1rOlhHyyaj*7&ArH88-_Y3nRK>h-#qqr2g?E-vT>HoJTM8??^+paWxI5(swYleA;q z9LSsE7fLDdAD)&yQgFOkW#{0j-ZL^{eZ2s67%XKkI~K@IF^4|#Z7|$_5hp8N`~>hU z*p-8mgn8-u;7Zy`HdN;uIj`h;CCwCgt``4N`T``-P&eY1e%jz40WPlhcD>!;$iF^$ z!B6VQkvvHwWXz>g=^%=T82@zqub7>5uzf zhR)tjuSgwi>g;a`Nuw#AjgP(543)C&4AOYEyZl+e>r)v!Ilo_Je(5)oX(3BMADl}} zzVi0(sAT$VeL{n0L+R}`6L4XP)2Bnlq@pzIHHuGxRG=9XuIKF7zS=EiEH?CeYJsvdaJjij=JFe)C zV^(V<-|u;eJDEnXD14A{wEh?;E9(GS5B2rR5W0*w@AtvW5WcgpOX zXkMa&;>|-Py+>gb2Z`)ZOjN^|3h06_dd{f{ECu9Q2&?As*efpH_)|~b5vxf3^wV-( z-{lkP6+kb6NmVYU1Q6`}FlP}Fs)@zfZ!7UEsc=Lycj?=kBxMKeZ&Q4!6^pOJt!Wqt zOd0|}KhNA&HfM++ivJ?%n_)RQ#S6onCuv0ZzTe%SBQ}4z{bG!sdGb~yp#udgNb#Z? zD;Y=dm7b+Kl4*oXM@JCan~x&4^W5Aeh6;k|nP1nmn$w=L*PD;p4}Gm$)XdQ>=3b{y ztr1nAFvWRu(uKs`t+GgaZf>3YC>lDZuNfxYg0b<5p>CUeJ?jD&i%<3>4)yrAs`?j= zg?C&`egEX<66lLjow>l)isk+p{=BAL`+=0=j@Ltx7i){hkO0tAk%xt|iFx%_((9tL z>=}$;Z4%?=g4!pv1=>XElk z_px%@j4Knk7n$$UL60CLLtq^~n0gO)LgTS#Iu|?m6ac_rl`|aAK}scu8%qMk}Z-$V}{xeqMwNj0)%&7_i?a0$yOOc%xW-i6Kxjzs@yn?FYkBxy2<~ z0NQ;rYF!>HGEi&25R-p(jU;@ZH7=7#W?S`zbBujLZ%v*7?v+N*M6ad$s58lT?g_^m zxR60YOhq9xE3hER;v`J(A&~7qd4vMD!sg@;r^#{{6d-gKF_Zdw(+?W=JPou8;d?EM zxm`K3I|oya$J}@x;xuXAuL7EcaS+#m1KU6b#vx-qQ^$t`SlM&=0qgl zd8KW+L4Xl3cQt+bnXemsQz{6UY5!+ehx^}!A#nc65fvIi=~?5pbP`)|bP`2rg?Myd z{|+ORVNA=2rwnHC{HkKV(Xv5ZyUx5ac3sF{DjXR=D|Fn|Rr-%SlWR>BQuJCtTh4IixD(=3Ur{+#LV_ z*@4UW9;zI?9O#<{*6iL>vX__Fv0)hTZR(MZA6afb-c>{ooCu&k*leUwg-I3kRTT4$ z(^3w=u{h8QU!iJZyOE(4Zh8u8i!Gc9-_|q)L!`)NuKz{JEGf z{DYU}-fW=kwVqbA%olw6W6199@=V>qy(142buuKAb<%8d?Jzj9Y^Zin!UqicMxDaB z#n@;5DBbTAS*U#t+7%cwBphY9NreU0IxJp#F)qOA)v3s5?j0DYcqJK)#lGwzmAx^O z!^6YwyJ{I1>%Ib4Bo@zlSGKGii!-$AsTdd=+k|$xe{irD#V(k*2cuHgGVm4M52wi& zbN;_)(68|dD!9Ag(sN^P3{WpcXXku=(|g)=HLbL6-Nz1_-<7Q@#2tizR;^v?S$Uz- z4Mi))cO1$X(D6Wt%>)LFH~d1s+DKqM&M$75U}M4~QLuuKtFFI>VP;b ztHbUq4oJf`Qpge+G57ha_b+B--lMqmTmU9yq4N*;t7Wjz7Xv>BHw>(mTU9(FC)^IH zF$|83(BjTx$IawK?v-v4fpIzv@$;l+V6NTv;wsNCR@Wn+Vvb&!vwWm+)pfc*Kw0xE zUMxCTF};ffEqMos7f46&2P4@s>5a$4+7|z^$7v-^BK(A3)2qeDwbx+{9WqLdnU+Iw zKz6}NrX4*>bdQ9dOZfpca4y?SN0$tSIsnk+yb9SyZ*z<&zlS}^Bs9NN6k<=WX;vG@ ziRFcN)+U3rBS{}7#+b1?m`b0~nRX4u?-HlK`<~@^(L?F+atV*Y0>EXZ|Hp1+?fuiQ zUPms-Aa;nX$7 z8Q+=7Jhvl{RoU9a^mhle?hXzbtBlvdTcJ!RFsxs{-oQ4u+;r6KQhlWPJ@EzxkLiPF z3*8sO_=rQ3BD^D&I!x|3DAHkn40@R@l+dS7g{E~pjI3c+*FL62%Ot_RDJEUi0u>z0 zDz*|c$Z-86Z9$PzI_qz51Wa~I+C>W8Q;Z!-Gxid`cAIjn1V;!w=_F8O# zX%IzA8p!eU`)6zce<3wLrP)ULtulNJE9Rtd=!sM~q6j?ka*Vs`T3#I&w2nv{&tO6< z2)ATaVDODEja(z0)<=r#(9%;3H1ew#|04Nk%ajnMF-db8dg41#@uR@A`u)m)?TQn6 z#<+fIMI;4ml({@5wE)}H0Jl1*x=&hVv^f1;c6l8j<*VyvB+ON)W8yyLXVG~~7IFb$ zK-p9jSQIeGGOml(_aHS$h@Uslwm&9OGQc8nu0Xim~!w3RCsF_`=Jr7d`c|f^kYSHephM zHA%#Zzg*Lb(j(x&tAZ&mrQb!S83YtiAbWZ-wE7RDMsxTv6bZV|o_>lh+&pAjEBTlA z+j+JX9sWs=-;KxJjV2Zr-bC&Uj{8h|djpM9?5j~I zV6n8DP^$2dr>7u%jRm*tLNFO2b()_`(l#Tw(kh0ud#1FIbR%HejgYOFrZc1LFDLNW z)J+uo9EgPo#%aA66JU7Iw{(if{XlSEB#`-oD@WlRjZWwTnlI;7i(rK$?OwF^x{v~p z{kkrj{EYJfqw+3|Az&zrHl>cR${RnmEq`QQHZwapnaS261E4p55AxnEzI{YyjWUS1_%$B$X29%1NkwJ)&JRpbhyehfEOywD#?S$}SJh5GXX#eS~vUGGyFDo z9$V73JN*(L9I=Lu5sMf?!B9gT(?^>1*>!*~!af3gG;~zWkH5PO?xc}m6#hg(h*tAv z3}7L$oibYOBM6n?nq{R3&nXVS)Pub0wIz6wA6qxk9KxrE)hjU{fF*iwUj^pPZy&uD zOCLn0o3Gsz`^x4fYDXs8Ppb;AKYd`DZG8PSYY zz`(|m=Q=TSBxV~?bUnGf*QB)S1@(jDhhG$?6oO_mks>oMF zg$lWd3d-*K2!kTmoc4FS6cd{?{=)^Zewv6awy6FrW@Atdb3(xekBK)y!gIV_T;3Vy zvDU_}9qQ1@Yfb@^xUxz$TRs0ST%^cDszZ=Dic8rvgc)?4qFj;D#8G3(U*m;UaDZZ5 zq&coJHk^Mt=#;$m9eWYXIm!*?51F1?%LEf4v2-%bcuzLvw~c7+wDD%uF$| z%oBAlS!ZNHzhMEfmEY*yK~R#fVg*z%hb%k7&S36s>~ezX7oesxlsRLcn{Jt)=CIu1 zxozzAjS^-$U%>ju(8btU6~tetb-OecX+A1`hAbX7GdD;5?srda(f`br42&=mPCpAo zG9-fuGugZQPxCX;L8q{l*kphj#(O3@7{}~A?h?LCA{ZkixxugrgRQnps*9t(UG&>C zf4zjXUZME%$Ur@&4-1QUl^>7kZ76a^t>=#bdfy96D9=BabHuP3UHGDQ+@NM;l0?5W>^+i`IA)U5XkQ`Dtd$90P<`TC}gPua7iaHIDGHA!wdgp%_Pt z>wS7CKDf3tUWL~nh@+(z?a)AD+3v$T+@aZ;mpUNz!zS!N_YRcdav)A`qD-P3o|gKi zg{=U=CH;`gF%lQG+;IQ`Kf=$*QH8P=D+{i>3Nrv42&(>P1#g{e!JX*uY5^yXDA{VV zvHYwMq)k^-9N)OH+`^LE%b25ZH&}8`SVlbEPEW0X6oej-;lLlax@4__M0N4F@%tXg z%bUjzDiykD*zWOPC4`Ae4aD8B{bQc~Gznj^5t#i&~*=y{V6&Q?z@T^&F^g z+5F>c%tX78>6$Fwg2^^Hi*+yDD8J3VgZqa+B{{vH`L-cLer%6B1=vs658=DTyi zvIC<-<<|H5zE#=%R7M4JtFrU31>T8Zzh4jI-892anrX#IwlcQ9u8)}ANbDP5(|dI% z;9IL&x{LO(TV=D)Bd0@D7g4zIw3yCs+GhS5_8xvx+Fp^e$zlI@aJ&qc2$on0YK7`p z&J{_NK&ZXeP{{f=$K- zLlZB;ZDnEc95vTG=F9gXJwL{bc{tGXKCrvyVPH%abJ=y|)?ZpI)?nMU-(mwHJBPou z&e2EnYX&77(fwjg=BL^S!E>tn)30LWjWO2yKN%PVK+We3Lz|m&Xh{%AN)egFv5Dip zl%NtDizz$-P_P_u7?@7@JX+oYh?gWm4AO_hU9pJ4VdTrd_TYrZ-F*cN%dl8U3>sV_ zgK;6ltD57tRP|tTf)F1moU$c=iUJ^6;@f3ZD0|UMR5|eCIy}1&tdR0Quua?+CM5=? zVwkE{Vjqq;ngX)gg82P7IjuF{2wQzAL;$&^UkCnv9)WSn);%grS?S-+U9oy4to9j8@B=@g7L zQ36|J{YCe+-J|vO#WUF9z=%fzEi12m8m1v+0p6$>pDQ4mm`l*_<*Cnep9%!I8i5j>h#N&N#I&VGZCbF2G`YXuj>{@=+-twC=$4XyM&UUw`lp300SZ z>{;2XZRDYcZ1##N_g%^D>x?*8cg5EA?^%^pD7+tvXizvvbmqhdlgvus(}O5OR!P9l z8N<_UE=*uLnJ`6rbMB-V%ynSUGqtksT(U1}#f<2W zeIL+ULlfH{1DBDD*>*T?4#4Syy5i)GwMsx7%_uP}#2McHPFkdoDRgpzjqFezE7XbY*Qj(UOp zxS2zydRrI+b^O~Cy!#jz*mn3^cG@J3=$`XEJ@!HJZxm|whj z5gB4x2rPG}oI4xdiv;5lzaF071aU;ALZ}X8OALl)Gc!aIx^>&OTYz))e<#bi{^mE? zvT@@a;$1_;BuI_ux*zOC|-@pNZ}}sxK7*s1b*M#Mw9~@Z!`{oq^6{+52q4Ym+f{@s8nfH zU)erzt9`mM5Z}-F%1nZ&mk{~!kCI%YO-^UiKcLmm!&^6~joT-4GvXVAx!SRFHXbagF=Ho?WjC`Dx!4bq}t|IQ{Av7SBsw=?cax z?L%8iDh;qhy-Aw4xU~DYRCIjHY=Qznc=DsE75c+bvuG!3C^&Wiy{w6fzA8m3GELpB zvUi8QZ-Q!tx#(J?Fmkm4WGQjuPg16-yS_KE{HV>dVagFu`KNHV{aNor!or&X?2t~m zW~qIB2e9;%L~&5G$2*~I#n9>V`3%3=texeu^5SfO8A6?gh?dksMMb$ zK41we1DNo1%?X%l5Uh=48CVnCLmKXdYF`C|h|efpf=>?wLsE|y&T0U}m46zkG0a^+q@1^% zb`N$)()pUe*0^Wnxw_&(!9hevN5xdkH-UNAXR?+(-vEd@ggz9&W-I|x@I5DtN8kv*Y?@GQ z;{FLS-e9JqL2y+XAgmA!3g9dFt(gN?H*)jmOOfTmxxIv^CWPO9_eCPD{DU7koHfSw zE;7f{M%8bl-}~=}h!qgL51g%lnD{Ug#^w2oO3 z0SR&P0?T|21p$rhyu_$r54JRs&kDA`^8)^z8P=6vXMLs~izR=6+mOv@cSzdF;}0KX zSHIsDmp6ngO(y@uF&{yZL_*-yLi?lqm*2D9(&=*!N<$YoIEr$}yT+097z7-mU?J~& z5cvX^o$uWDJ+1dvgg9uYR^S}`* zXnVnW1IhqEeWxNml&t;@0`H_8L;(s}vPzQW9+lu9OK2GBP@-PXs$mKiCyxXD5Lxdb z4l_}#b=iqzd>kQB%=521Y_XV<)zRQ9f(P>%O$WTvc7Qwn0g%Jz5>HR;3h%{MS1+9u zVQqZF_$Dg$kUqR8%u%Q)m=MQ9+-g;O9dpKvqprUbtM3gZUMs30HQ|50Um*)tZ@$w| z>Vgu6KxP=4hq#@2ZXoN^vq)FmM@j7D?bG_Y?!OYgjJ zta5+n&HuLJXJYK7fFU6U7o>^>fQGGUMDKQ~yI2-M{6kS3ZB>7|Aaj(2O^yAP_spA^ z=1yKu^j*gqIr2y~nAxzu*(L`vEgA}Ow=#1vHSoYOzt2G~dJ`Am(*JYMeVo(C_U`XW zgb(QCz*-$Ns*3;?v_va=PF6-niE9U)BI*xZt*Qzm$~<6VP4JL|maHyboVj*3Ai%C3 zK&W!>IIwZDKsd*ZLz;Dd{32`I?<_VUJW&6sAu#O&N_oOr!Tx)O>Ef z!Q9Ht#YInO0>E=?vyF9QLFQd@Fh~Ah2lM){au?_V@=4m?)cOfA9CRR1{?~GfK9xt) z2Xi?eBx2R^c%2kwy^eCY3yzFDzOus?6}2f4)VQ_+*mTJQg(a+v@TKqh4!5e(sl9-E zwSVAnB2^Mb$;&gCToRu8{kB1;cl?0WGlw% zI+5`;1W*>ojG>_ISlev?E4?lsgW@F1FK<{1)=GM#Ys_y2ku%H4)XtprL%Ras|F7E? zfy#Ov!rxG|QEp((5!c_Bh{4*j6O1E)5)y4u%`^%Q?k!!Q2eS^(-zEhQ>1w$XaWDZs zD#g8E0G^Br)@dS-F!=!eO6Hs-CM(k)tO4v*V9u?)MjeO`8c<*8X{IM|TKz~BA~J`> zLK*;1V~CpW=O6J{{0Fb^k!LG7HOna00SM*=sZ(>U2QE4uBKTDELLey7#m1y9k^Q%P zIriW31$8e2YS;^SCBtxxBl~MH6*olz8E5_O_OPr=kZQjXRQV@3pJLBzm&?$zHML0^gPL}CAr&wFi*s0BF|f+JX|&=yDuc-htez8Kype%=4xQ{*Z+B0g6&4&P#8s&ptis+139SW5@bO)ov(vz)L&Z zKg;tWtePwgQ;U{)d<6h(6(kaTONB4V=J@LJbN)Q{&x?+y>*oYc%*3oNztSkY;k{aW zePU!pfbr}Bi1cuK0P_6(j{12D&3NEk_v?#WV1Q-MJB@15pKR08c_R!DV*o6@F<5O# z)Oh#vqYzLr)(4BtSIIc;b0gnnNU)tTkZjL}Ea=CmW7z%nC6c>#Y})gm5W(rs&3y#> z%12v5sKg3@8D%0IJxLoy5(m;AG(kKciJGS-8)wK8C6ooFjR@Y+EvvT_m{ri-7lzK? z3;~AKgB3Cj$dSC$m62-q85c^;%+3-jHE%88)+fYsX?F)^VJoPj?NFw0N0EJ03C%Y2 z7U2>EVW+wPJ=;)~I#y1CI?m9Z<2axi?}4>3NV*(rOEI;!H*3JchIw&5waC&E@^0I= zad3Qs5WDd&P{3YGqCtvkQ(|yz2hr(@Ctz`LJrNN6AEoH$Bp>^?It%~b0g|5)u^I-z zk51SDTW}2){ddHE&vtfjz`$VmU~*@{vip8bK1}l9Wm@|4yr=rIAD+wTfNT^ z+`$G^n{@vOZ&W7m%mIu73krMoBOxR-UZS%I&msJs-A6%4vb3^uL2VlQdDNoaJX)j&%pIU~jJ(>-)!?sXaIiWPdEL z?5tlcaL)Rcb7-rLTOO3!*7hB?F}m`9`$QB=et|$9@)P|<=*606*#cj;1QsOxbZ~SO+<(6h3lSd(kHZUP4#yO~a&g?0deYTO?2YvDGM9lUjcPa=B55AdG(kuxy0 z^KJT}t(g7)r{eZkv_wYYzNcP3@&=G0BhMf-wsxqqguoe~!LVLHYz z_B`WHlA#F+Af|K+=?$UimRO*rfa_~1I7+7bU7{e@B#nYm6j=l(>#?Y8a%ZsA{Qa>7uiG;9{2A=FuDWtvR^3~#l3${;Z*?e*+KiB#21jUAK7nH zXrss4N1$32i*sYO82vm3?Zp<}YEdxsfT|_z+#N&jR-G!R-|xB({_nF-$BaJ*qDLJi z6Pl|=xRBX0?YoA{KFsOu>}GvO&1IlTY!E@q8M+%X^(engXg@a)FvkoNuwU} zYnCP6MMaQ>^i|`5%9)4J#gF?kvP?*E1~$MI0ADH2*a2w4RPleMO4IZ3HG8a;#N>fJ z6Kx=11t*lO;xSrPbYQknlk`@L`^wD5L(J6BPkl^7)3_N z_&uJ!=X{*s=daH>hkCzXujli=ulu^M`?~X{%GYyIZBKcN$+fx4f^!vX8NGgia1XNI zqU!a&wlwbK{zr;%*yVZ{89h5@un@7d0y|(SSOyIba=b+**bDEa`hdqKy!;us@W#2|;V2?Tnsf1@wuh3!h*|9wP>0YXmD_HeOv+NKCVVBZHp(ze0BPKZG)b+dH4WzIWsE5AAc6hdonIus2hQa1xm5@4P_gY z#s$BU&LH)hv}p$(cWyZ8oSD&v% zzsTuX6{?p*1@(wF>$s;+&n zx>ctHL#ADhMRIL@KmBFu7-VvVI5FozmdH}MT@Bn1%+K4vFA0|U>jcZ>&{GC=J3$Mo zKRfMHO1NgH+W8ZxN}K-oCf983fjNYs`*<(w(`|h_ zI=_Jls&2rPkmZS@p|=V))ifp>bg;|n#PA)(4__p9=^rdR-@*6vm{^NsBm*fd&kiBn z90(CHFfBdl;)V5o)fx_@XuxXwAKR$g;HvP7QET=V0? zL`|~DNZ03C7d78^lEjo=g4?ck{>@vdg?o50J+U7Pw+*JIrgkoyJ%3RnsRheWnp^}X z?%1J`a1#)59{83&U4G%s19P<^3f}z84sYdg@so-`LQO7Pv322FvoM}^BYc0_jH@=N)^=s)GQ+(x}k%=sU!75?0rVO(=(>cj8e$fN}i zU=n9pS8M$J-B^6YE^9r-b}ST74?j^?%S?*=X=?@PB%9Vm)dqJl>y$Z4Xoy^)TBi>G zy@JB6kp!TAQPeA0o1%?3M&^7R*DK-y38o0Cti}0 z|GXun|3emW%yKNYuHfAc;eltHIvRm^cded!d|W9CZO1A?zwjlIBu=Vnz12=E|$mVa-AKT!8eO}lp;OL=dk6iqLY3&hWXb>ceDKS#Cm4`FMRjg3u6!--?Z zy5mcxZ~?iEFbcr)vZ1V-I{x?25flnAdrz~x^RmRBIRWVPx%4vP~Eya!G27ihV{U3?a{S=}~RcOxf z&|N$B?+@X@bb~d51Tjuzstuu#_B`!%)ZfC;TM)6o+(B(9^tR6b3JD@cm0MWgG@B+o`e5IujaRK zJl-Zr6w*TYczz1b6QhY%GuR#SxPeI6p+j%BwBG!O3P7`punN(SU{n7Q3C>JFi5E;Gv%hAS&tHCxaD(&g5dw0ehrtm-h3!VOayk!J{)ISfQtH$}_ZuwU7`N zVtQ0~sePXb=2NGRU$p3?RZOM{xJg)1&6w=y+Aayac8H{nnqT{}-PXl-j>z%B@eR^VDJN=hWt>FD@9?=yL?V12 z)4M;1f=bBN@1X10h5x(=q4An&ZH0=6748|Ug$D&Yjq=j$J0~9IiEr7q%@m5fj$)$C zwb$|@lYbxexyDc{K4Ep|cSb|nHtl>8DUNbywMXpXtxbDBnjYVMeGjwEkDqt@KCIj3#S5hd@6-CPqrDf@u8!##;aj=j zmUjyc_B^y`i>pI#af*FM;;3|r5D_0AzrG4-kTYwshIzf%Sf~f~%Z14>o|SI@3RrdK z+_{P%S*-DbbbBpbT_prGtjala&9z`-CJP6Ijf02_!hyi>68L9w)WE|Q8nxI{i9xs6 z=VF>pXm@+CijnHR+4OdG5YXKy5le>2`?u5>rzY>$^7m)c*r?foQC>EU4QO+Kog`eJ z`I|gaIe*ckj1YBPqqu zH#$1n3-|2b&2aQSITy3|Z0w$jY4HA{rcuj*7g7i*@cj9qkXIR<)2vMMp5lzdqJbHC z<}JP+pRVL+@_)}vLw@O_GwT$5r%axFX3dY4u~%nH(`U{kw00JBr?3{IowecU(Vhgt zFvzNwioQDi`ww&}=+Hq`ReSb^{-Pg3i=cQ{{mf07qbE%(MTK|y;X{?cIwN1|4vzsP za@~^+{pqh@AEZ=YebQ}ODd%k-S7`n7X%L~uryabh&c6{$p{l}6d$eWAoDxZ==0J*( z|MN?0w{xSe=(jb=D-K-ouH8Q$dq;>~Gx7_g0g?n~)U0pc6Vt4>^D)u>NxK7{ttF6I zUHA#Xit*MKUbM~M7nCC+Bb!siwdy={vS<2!6uO*MF@GbyyY%aa5?YJhoeIQyy7ql0 zPhZ*BgHPxMC9!DHq89OSZXw%gCw66?9-wsm+OQloP`gM3%c?iNsQ_7y6rE1E+?Mg1 z+n8jjbold8wNdh*r<2T9*k!G%SA6p1$-z@GR7Ho8JV=4?z-7F!llEyfeG{skHP;>; zVhZ6_UREYaIEi%g{Oh(x#)pX3{B9+ z>b72=ck<+I)rgiF&%1uhpYYE+9+wCQPV#VzT4@`LosBt%)J9kd&(w=ZngHfZp3F01}F=-PWqkacQk>D{y zZs}fph(oMd@~N(FeQK(HDK8E*BVESFw1R_?-+=a5K%sQ+txxo)r*jIe?@Sx@?JJnH3MStb@ zpFii&TJS;v$86CSg*nV=_gIuQvDbP8uNE4*8XE&bG|PI6IKzeRVFT+Ugrzlp5IO6s z>A!V?;TS(=Oe3aX!*}nt?5*EXP0iC_v~y@Vmcr%kjcq!H>WKy+%G_#`yLFgo&sn@U zm>Sc3wGoF9l3Yxc#2@RUf&YfEYicZ^$`t!or9jMqEMAM?Q()rAu|F9X*GOXY#uL{c zsrRK`ZQ_Si=sZ>0Yr?HAKN^V5_W!+jMr-Cb+aviI4Ej)CPZMo-w*K{bdSZ0|@Vk*D zI=WnR`9us-S~9gh$jR5sYh7}(o>WF_3hH##Y*nODxv#V6!NNp+J-Sg4o5Iq%I3%4l9i#J$a^YAaX1OBxe)s89 zWsuBeRk^%AQK}2Z)C&IQ(Zjq<;(W&SXp4qDPr<+b&EpM}+p(@aHijp)m6QGR*z304 zxN+kuDM>6ID9QAl_9}|sEt(FJnfpF{$X_Of3mj(lS8+xa*`h@YX?nZ6_}EW+w=Em0 zj@#R)bLY+k0PI*=wsRgbWQZ`_l*vMMf4+Q1G8JWs1Ls?(~!m7v3!FbstC~+5=n0v7cht z@ z3|76bd1e^R7B&6T|K!AQk6BcxJmz;`Iw>$FrYjFP zkWTEx(AF(lToyP}!3P_-#_)cBy?WIHLjgL(RYe_*Rt^zvZqMeM@4$$Hv)741-gZgw zM~&%6WYdaE_r@NAE^O;%-rk3g99d5X{W6lC+o|(|Lqj)i+t%9mY$|a>7;V8UTo&~A)e=UkwI+q;_4oanrPYV06SGL?xvpN5qYLhH~j-&AZ zX(cte{PE+*N61=Y!;DzDD;h8c)}>-c;i)rcrvJTC5VNQC+#U^l$PFmHzyVyq3#!aX za>&@Z>NNj%a(@+@FK0D<@G!B4;dg(=mpp?R=pgA0r(F454$TsOAFA99%Bre1>3x!I z3+aVlfd;uQAuHdPym4dGIA<7|8%#Xhn4O8WS$|{WtnA`FmGlEo@sA}woDe%!d)!Z^ zQg`8Klsp1brJxtH@t?A>O`XnRmDc}$HQ{+ht~pHACk1k&ZD-ATLCc_>^Xb#4z3AH^ zl$-IQ*{oR6p(L8HDbu`4&7Zh@D|I>RJBLtDZwFZ&K|v@5a^(&au7Ar~ckODzu;UPq z(k@aPG+=1fG*=hZ6{NX>KCwdYCJE!M^$%^+J?BQGy5`-wmCLCVx|PJ@cNEqxpC9Qw zPt+JNKoNf5qM@VBZU!1Th;7((9zApB%w7K5>fUyOn%csr)n46m7%%Ksx70-}r~e&X zvnNfQ7#I{J2V<)!-7YT9rFImSad9u1gT?XBU({X5!v+o+GLEk6To;$#X{*<@0q2Z| z+PI=7=H7&17rrKQ(YXje$a8c1EaIa$z!PW@jh=X2{XHgiL>o{`f6t~i z6r(S-Sq)R)b*dcesI9FHYh?k5)i68qzeJbS2zJKo?Ma;Nc425abP09=rW9A#9DICyNGeKfZ?v-T_!^#u835zs zS`7Va`n48iA+}#vVG{?!`Hk_$eR&;m_Rz;s&*93pfdx%^wd-fKmcRHh#|wO5u|z#b zO-yoeiyKPx2sJNT?3ZbN0P^Gv6Hm-q)@0 z%UbzK-rCw4ZB*jUeIk*89O!YJnw2U~cDq75ZTcD|HV$_E`Q@dObeZsxOsk_tf5*g) zVor;ijcB&xn)}1-Y!flW<2eQSzo(bi7%#8n`^7ivE2eOoV`F>cVWjb;6E;rQxN}W6 zXG&*Qep*uF{Wp{n1XJ%Ytkr%t_tAho(MKwVw^(bK2inOiB7 zM2r)j$9#5KGJkdgN1>5KV_7J{{E}QWs0N;EtOG$x^;`G~Wg6CyaRI65%6WEp;%iSPBxnTmA;!TzYkrX01jejnj5e zx~$~ix>YN&#=~Zb5n1cu^vj&N-Y>XmT8 zMM5Y_%bSRxv#(uiN>!IvP|#R986Q6nvQG*mX_Xcgh(>HSQWEyFwZLmMWWbVmZ<7BV@6wE z^c*+0R-l}LIRa*db~aFy&H!YHXy#S>$T&G{D2#}AMxf)crPc0@GV1?!Jm)pvziikj zbMbfuN-&DGA1vTF%K3KHz@lXQT19P19IlRW1w9)5A{-;7iWpW~RyMkPfW}5k>Cb72 zNN~$bNJvnS7U8ees&(r|67v?=;)|wTtwQ-iST_T>Xj*g1b z)K`nh#U_X&!}L>p%D&Lh(DZ8DE~YPW2LTYF!DP*m{#n}n&UJs_cGjFwJy!1_dhZ$( z6f`K;s!zp5Hs=NIe728CI}*V)0uTG1_7q%NH;8eHb+ovJNz9qEXJ6iQ$_nU6t)ESH zE`RZ&v6POW4+uN6+|`KlOZ>eqh-glEPf`|X{yH)x|Ch!-c|6R5pqrQw0;`or3b8S5 zglsMh=itgyfBTLuPsfRUOrW9l)u5|3m^EF8m`tX{rxhn^Ri7T#KUHG?P1we(_^|Kl z>vO>j!opc%w6c?^6og(AE3Mmi@9vDUac~F~q=;(RN7x7(P9m6z>?=~g$$)a=aZn-{>VAB)kM!JnDKe|NA3o3_>nf@N` zUD1IC-}+0JE@gjiD^##(1RL#s^CXLL>d8~4BpmBQNI0(dPno6R6bjup(9qDZ+31?F zPEH4DjyS#Q#MN|zGnBo@aAoeisU z4;f-v-id{7#C;x+>NYP6qhJl-sWwMcbUsCw(XLF!|qp4{S3;)szUd;_n=3Kou z-p_=))r;C`c6jfTQI?c^Ar@LMHWEngKc`#bD_~6!M31LmE8iQ&e2GH9Zm);CRO;x# zMBxK@kWb6=&+pQui=Re0#e-aN0}`eM-1n0?0HlJ}Q#)$694;zrJzuzgv(;g=cPffT z1$;SE@}8>PYD5KKCCNg+B{=13!qt+J1ITqo&vP&{lkaS_a(S$A&m6T?AF5gldrdhx zISVJ%kn3(xnC;fCg|fcdxt^ZUdBnb@&w2Y#1tis;-JY=h_es+x|3I67Dk=g!#C2ll zmM^qGSIm|M>g$`bJR4`tmhi?U7gt3ZBy!7Iv}#r1zQ;N~JzY(ddt&yuT3=s(M`UEK zAxC_q+oLmMreDN>2_S5QRbNpw9o?Z_)YT8i#s;Bvcu5^C8xH5VnMT$9`}ZpnS2Ll= zxUHaUY_kG}Gm6;bt=8rX>9W%uL6F((0K zLa0o8dpwpV%a<<~dU>HFhUAr9P;-t#{C#cPTOqIJ#gCaiTb(=ooDXJ(2UdU2;nR*Uz zgI<*d$~6mC6Efm2_f?Ggm*LFY5fO2nH0W>Go6;vAqnFq)-p?C;)+v}V*>Dc33j!#M zT;16hcE`oX7nIC3WL&`7)>bpU3JtQSx0RLEUig-4sVv^G z3l1Ba+^88bo9$GGhBKFa3WmiOQc#Jc&4#DxnM^0T#$Zl6Az(wOE= zD@F;|Jrso;LqSeeIVyXn3rduoFzI_v_0HKTp+n7DLxadv~_`xP^9yUIF@?;C@u4~ZYlGLnOGf{aRKYl#hl~B+P z_H8`WMBq;A4h%xxe)w?D@LYfqNJx?x1ROVRT#J=XV4V$AG?rFYGaMWW?QfAuZg-Lf zQl)+Q^2IZk4Nq4Xm=`=7iB;(4uh13p_ZHLAV&|PN5%ndcotPEF?R&bd?G|W;?2?i$ zDAP7_au2O!z*L@JN3fTAAN(b9C}3H@12Izoi-F`br|8c8`{GO7M%q$3D^!o`uPUw> zT%kzQ@XOhE?^@IxZTgSPM;J}Wg{Bh8i_fFtpi zo}IgO(@kIaDzH%#Pp-an8EL6-EDiD&zTte4WmoqEsZgZ zA$$lb?RDi1wXyUu7ZgUVL)t0@PV8mk={b;KbK+g60!=L~6VB2*bdXXYaUFC%9q?8P zy*>4y@ixxE3!=Cb$RB?xCPtW)hxD#G!lAOxXf3*OHLB+$DRkV=0!%I{2UgeldyGz&(1m*hn zRYWCisj?WuVZ-L&&(_XhN&Db&XHrwIQ?Z5+{v^$owz)Js5!eM4PtW1ur+eC%n#%Eu zBU|{IyLKAsHxMv?_~_9llCUqW??`R@_1ynh;P6{pAmnvR-h#G*u0FG1x}f~+5+l#D zz(fAOzJE|c%n*L?pwfg16UJyHty|Zq{yVd>>s`-*_hOzyUcMW7s8~%Sq(vtqO*PiHNfSXfTQ3I9 zn(UtNKL#LRJYBvG6gZx_NZv)Q=yKsTF?$}_w#18u{~>=$f$?w~jYfOsxh`E=WQ4-2 zGV5;A#K$q2u|MWS5VC@a+>ahV7L6=^$e^)~uw{A2OM}{v+W+G02o-pdAT+{|)=TeYslgkW9 zq*o6eI&^&%+Y_4g>C>m=J)Bh2qMo3b@;|lP!M0fIIHY^7Q>`O+q~6u=AjxD@Lx4k! z&Kx$u#zvJ|-b$-N9UeIC^$^HCZeV*$r^U}5rDd!BDmcoQVljBgYu*0373%C@60%J7 z3FF6$;Yc<963vx&gc&g?Dr^OSypnYL&Ydev!AZL}W(y@p6~6Wp+?U20tZyPwN@isG z-q=So95z~#$S~l7D$gV8Xk|03+q-4jEsfLnKNG+sjl3WdN(``R3dfQEW>eo0|(XjO-)T0cP#&64kQTMiEpV#E-gOP zA3CUu(Mn5_5Qv6W&ifTg-B?{Dy1Hm#1WDDQLkCIo@3Ac5oI1qqQ5(n>Vd|xOuISdS zNP8RVjr8i^;9yRu%EvXp^8Eb`;Lo_1441X()=lZq{IoOS;q{c#)iKTG1 z^zqXtuNT)^idMkrNjE~cMT=Zry`9^&Z(mvSLVwVp7oXB~R$bNiS97LFtqg;67~tc; zS!vs)ODi;lQnpEHicTM>xa_BxJF=RKi4F$NrMlEr3x1xVXXW8s?KvJ{fBZX5P1?NvuPbO?6 z(Q&60Ess_;cK4Nnabjd^tq*WL9hw19`}JV}H$xx7glfXJ?C*-sH*V z$WI6A>8+!&#t%dg)xM;~O=7PM z1J3GtyMc3e%lkt~D55>B@xz|a??ctL?0p>j^lH(p9u^a>bo%7UEeh)Vfn>MGgXqy} z9>`TYdS+*Uy4pV&Jp9%y7?an0xF(m4_{`U@%}YM?b=|skB_nrCyoLf!%fTFikbT{Hf$T)jZykkKG3N}yyIAYVg7Iy&d;>5sZP9u4EQs87_-w~c_t4T=qp_~ z{hJJ~t^c4w7O!OJc*PDJ_fv%7RX7h8z6KEtCDpnI@KWV|>~(_3!XaSUhbQNk-oRC` zpN|_uXZL{YIXsMAu_sR4a6mb6Z*s48UN6xGC7tPNVl0O9CVd~dcZ5%Twm)dFgsJR? z?bH7*KKyav5~AxUpMDj;ZY%!VYyVpK_v_c@&+-i!P6{&g2XcpiI+h7TmrcpZUO}#L zXz)1lA;kG6;g@z5-@e^O*w2#0G<~N)jxqAo9NQ23pw~OE-?<|S)2fwiZamG`zDAZ7 zw$F+6Zd`V+s=|(H9XmFX951bDO)VT}=ugoi7^B3ZY#`lj+zN0W7~5avLk>d)Wxtc9 z%<;nVxI_ETPI{W}3cJV>&ERCtl~|hU8$h3#ofvjUj?*~?nO%PTcyEItk-59Aon60E zo5Q!qo%<2WTBzd4eU_)!uWvjshhpeQoViAntehn)4J2*| zN%&ClENfpwCQ+B4&NlS_z&dO&mVf3tzVl-$SvBX--o1P4k$J`#`jd5vh_ilc0d*_p zqt_A=WjDkq*jcWW6`z>0zfbx@i-I>5RK};TDNb~Db{>k>VJPN=$4{KdU3D53#Okwe zaCm`M<_2HLiS@pfcNHD$QvXEZtnRd;L|q_1))AC1d>uObLceRBHhmnPb}o??Kngwf z;1A&KWz{+8im8nzEv=o77_92;Tb;C^F{WcndABJbfcJ@XYK<5X?Y##@KX+Ov%X0`6 zeeNU*k5h|c8EEMqrVjTnh*{G)6vgtd=Z7YX-y-r9taR8mHNEwsa(TE@weBa}*JOKp z`?*Gxn)7)a%9ctR-Nrr+WY8v}-n*ZcmRZ$EmnPzqi!~E$C5j3TZh7zS-Fe^+mlZ2k z2nqJGr~7vo+`6@pf?)FO+0hUgUe(Y_MX)Saq06Fap*oU(MhQyb>ZV-tuVqCwBzxP!YLfzk-3FJ&@bfexh(# z8$OGz1peh)!^6`?@&);FwtO2qW+?CLk-%inE~Rv3J;SN=bla*_PKfp4aIy2P&(LV`~ICe zb$Ub3d>%cu_TpiiKR!5y>^={o`DIw9&+9(kF@qY_l3{ECQ_4RZ>OOwl-4G(KTB$xZ z@sEFB|02#keZ77(qkYz|Np2d5-M-oEv5S;`pA<$d3mh)d8{}ez756pn(c?%#>FczO zjsF*V8s{tcSMz!dnKWKxZE5-O%91#@yiAHYcX#m&Xq(jf@Jx8V>3X#E+~66+xnK+dxY6sVK;=wh1uEb_wL&_ zi1bp0%yRI?hz0x{+5Ur#dK*mMKX{=cWX_NTjGW8DBlU8?2~og0@$V_soZ<1z9*oV) zwKOhs34On20TaaL(S3)Mi3yo&mo)sh!xZE>B)DA$bn1Li)vD|Uw2f#8S93;k+wOZ; zt`z0zSWkvtrUC;Y* zSBpg0(XF`X^ID~T-<~}xnV7VDtf88h)M^gKj` zxk+Pj?Ve^Nz>Gj3u!pT#`;hDOeZ!eP7zj)&y%lu#XGvv5Yd`aD#Cd0oZr%|2W%@T9 z$rWer9=ylAWA14K@2bgS2!VBwSFg>}<7bFTBZ6Queh1*yGxE)4ka_hXX&lwFWFIkN zsK>8HFCvB->?k~Y87s*9X>a;-fYyucGCeAOJSumOgZerH7iR6BXaBj`91OGu7294~ zbCD-QaUHd3Q?sY3u90Q+YVF%!wY0QMcNJ5#gD!=U!HOXBNBQyB#;-&Y<#4%o5p)J4 zPns3Ioti9er0XoS*4qr%VhCFQP#WcXF?>SZj+@yl{x!kKfm|uCdi8X@68|< z8YSsZv9Q<~zI|*wIo@5}-u|h4($%OJfd>8ihi2{pTdn%>E%m+^bkHeCvJUU88!7)Q zkNG-}OQl4|Y7yh#wK6=?=r$|)_+S&@Q6vC?%NPof^if2$U?n76px-woug3QB#jV6ReF7)tA*x#sOUPo@H zZ9ycn*`69k39Vq8;BgkY#B~*+E~9k&Eyp@@{(KHxsGQTZ9TZV?UH2K%Yc@t5Fh4Af z|HhL}-*@!r(YZ^PZWHRPgy8U7L0E>?i%~r~!a)Zb9V2DDI zgVRJ3eTqJP#+QF1&u~Z1-!H!Z;6XBhwB`#;M8WQxM>&H=9+ZGV#ck(tcT2qCMWK}J z7ffMjzu{17fc75@tLyMJ+-6q#erP2&RnZR+UT&;VmN-!HG8H=nDsHE;Gwzx=(wXB| zHGU?}T_;3DY}yCLk{Jo8o1A zsK}uCr9dJm+oV+1SJ4^wefvaClD~T2qF|G(fF9wC7yz5Xz7JQGMje7vDS40J8}Wcu zZw(KcSoI8Rs)L8y4e@~Kl&P=oP`5Mb0j^%u+ASs6Uqu-Crnidn^UK$?eaHkcq8Y6N z&=cKizS8Te2z!gVy3j+~EsTomM;aK|lz*xOTPxMuQ74U^IkUZ@qT-_qKH8`~6YnqV zX^tS9DM54vExxJb(`eOR{meuCPo9ksn?dOE-}uqo2TB=9qVUCF8>4yXT9ib>+yx@d z+FysyoDJ4xfyvc|t;uaF$Cg@fsG2xWzTK&tR>e}r3+wq7)$6NJOVMx)^G%F5DW%uu zxwaHUvp%bxqHqF>SoC^~hVECP^_h!ILNc4RPcZQBN{C-xw;0;$xoGO*kY=ObhdoUx zKi$8saT!7#s>{59-5x)L5`~qbjhWX7;%yTcky+}wKI|{#+K4g*F+@C2e%Sj4y|s*L zB0#$#C&W^ZtgijW{CVX;q^mg#7Hp!1URKRr6LN}kOP}sBjAREg(Q|EhCxA*2Ny>6j z;<@m8N=}Y~s%-q%aF#oySzM80C3WzR@8A9AZW_sPDfzXhW&svh`Y=+KaVt@1D$?Ap z!4dw!`szKK%=w}l!on17?oohgTea6XxStz(l*&U2WG~1Il$&NrhmZ8=Z=&5fPyR=c zrKw&HM5t!{3`eo=4nZDZbDXKEa9t4m#BY{?g!$Kl1XcF&%;^1mWgC;f7MjmLIxYO4 zz(^adR3=V+TUFKOhbl(JJcG!>!k_FhZo&lbrAkuw?%m7UTWK9U7w*fvgxROV{agE^ z++|vnDx}uz!4Q;qiLJ9~*U8m3>%TNeLnTD$Q6TazQ@3!(BI27%P?A@S>ghD{6_juK z^91-(a+0v6K~Xl>%`FtW%Do0VdQ_OlCMGIkzFNZ$#_Q{=BA(4{fHQ5mZ{~{TvJ|7N zQGH-hqN1Ya@HU2_;^z){;<%L9v zdJM9It~0svo5Eh0Wsnrq@9(H2`hitg8ucgI%<=^ijj8f|ainV@-% zIM#G+?7nc_ZAf~=1c~%0Yjx(KgBl#ol1q0m&~?1g%x-{FR-uvZkB$w8A3b^$sMqJi zj3){``3P`n&NoS(+(h<@X@D5w?Efb8Jk|AJ7}~! z!0HR#nL!?NoafJPDh)I+__gSh)wr+W25eh_KNqWJWaIg$@u#{X$#(DSNf6>|h~))w z&K*U+NzulYuiZ%EC8~C*8I)5|>M#igf#SBr<~BkqA@mvSM_9=r=A}DB3P@$omTwDB zBC5-CU@~69X0_aBu&iQY%~!hNm0{?cb71DvU*277@6?WZAaRuM%9R%^H1wv|eaJ(~ zJ38M$1yZ9TY%OO-PG%MO2c?*iB!tap$$R)V=tNDQH(X}8$41g$kI(icR4I^x&Y?Ev z6JZeZt?Wn72*mZNi0iZ}ti+BrVTHtTP(s`1%nh z2DvzpLN)0a@pE2W3c8^3*RQoxbv^9pNahmnAsk8s=%Ia!u*#bKhL?wPikD!+>!7xZt z6wwrmVSNb6U$!E_tz?~f$d)a01hBt)n5MT+O1gp@8mD#dUX7A!6L}y^B~(qbqsdT>*9;NhAw2UpI2vrL|-^i z``L{db7ew+>edJ)|81e6w#*&}Jw)dqcoF%lx9N4+EtwNTLzNN!)1E((3pQOF2BB+} z9y77mJd)3z5u=#q9X@PWUi5PWZJ!~hKbyG<3{<#I|uhXk4cJ4VB?Sbf*@@79HLV%6UZF`Pk33W?wf`y?gukREE){wJfjy zqI2|rYRRO*-DZ2oG^I` z&bojqPfU;i(QiHTn;65-rr*-BBpF7JiIMH#B(b?f3|dGzYLxb6<>ea5<2hxXbrq8w zkk_EFA4BuH(e95A8P?M#-EIV79R`VQ9o5|=%Y=WhTJoI=YBO5*LwqXv+(cHTh)INr zz2X=7cN+&MC5i&3$+f#Yg=0iSC>*wwvmD{TJ)ujv@yJ)Hb4o}My#JC6TC6r-_B}s0 zEqdVp`enm}-73#3J=y{W$r)BFQmwB_$Yb7dx)*VDA)V~?i97b}$&txqQK-c2(NY@v z*BvXdZW}RUO77&d_^RZ--(+cA%vG0~+iVKfd{> zv~7EZo^~H^)r0+^8LAQ=(4-7j>B#B*-ICr%O?b#tAlO(}jSBO_ZxkJK)MyLtD^r)n zf|DAU1A7d8yqD2{nO0UVyqdzCoK60C)<6>mxdz0m%Uqs|cqmG3Td`0afOYTo?Kxmy z(Rp(QZ^*A*pz!#Ly%tMVD7`n>+1n3>+dh8!bP+f{3gd!RzkV7yhw6cvYm5q>=ufU_ zulKp5Pf_20gh_Q*c-q-HIn4w%;c?TrZAR}Z&RNLwDbtqaDs>$hzUt~B1V%9LUEucU zZoatqFxFhPi*Z0yTF>+Gz@RGy1@im^vA%@)I!!expag#fI+3v#2MeS6MJ;|pMp5tV;rjcHk~?c<<%6l_HA?sV0s(AIgI^W zy}gB^A7bT<`?C?jo~oKHL*P4+o!Dd;bT?g`xe3J3Lf-eohYv#0%*?~GT9I_A2?kxV zFd{#|G3+%gMM`sjMQi2C%1Sx%E^TQxx+q8kyI;u64qIxe5N3QzZN)qbAb4wnW)s!eH*R5Q&${GHU zl{WItTB!vhRFwiLZ%h0;)U`9oTF#YFV;axb;ry>*GZgO_lza&c4AeTA^@0Y9fQiy*Mi6i^ZY7lzJ?RiP zF)x#6E?U=BuLU|UDn>%Em3Z4&v!$oH8A2d~BFyXC$Hn;H9r``s(z=J>^C5(; zu9#EL2-1f;XK}92V z*MM$0BW3|R>6^V;Nk0WM`KlGQjW6q7`o12*w?+Ksl{`*k1FpVVsy*`Kz>61uG(Yv% z>+y#F6Cf+t*xI&8wsq+3>auX5AT%7(UFXb^2r+8)I&+0KPoxnYQyke8Y5zA9Sj>k4KEWKJH&F zz?9CG3D&JeC6|^a2I#e9RmASHva&!9Lle!GiX>eHu2E?^{xsB$>kLcTiv@Ms$EOH# zS17+hJd2*5*AdW)e!vx!y9i0H5yG_{JWLthph%@6yPM~1s9Bd|m z2z@;@$9fPkgY_Gsc3x0xPnyrZyd=g!9PszQzX>a~~}qcy(!+e$Zj zkcF2?8_*O&JoHqW+kXO2c(zA zPtTgY;qYM%BoB9RSi9ni(mopvJ^ZzFY;z{3Y5lMM3|LSl2vcOS*LG2sZU6BI!L#@O z)fQ>Q%0G>ECw2;TSzcSJE~2twBEUsV#?zEd@GJtHiM8ca@g>8Bsvg&Oi`+|;=4fv7 z^71ZoB*ZMCPYKu|88^4!56tnlGw9Rs&p6~5gTMqctG0D}W`W{<)?fPNm0PeWGghlJ zN4v$>^V36`{i{q_PbN5^;7e&rsk@GStk}kNU@)U-yVp30dTbHI2Tm=wY?Z<813RbZEav@ZY%>r|opXSs>`mIKW z!hVu*0FB;`+Lv~vG4=zAv6)|&{Tlx~;g(+&rW}+>9PwPfd>mp~;mJAH)bv|vLY<+% zm@%gyxHnbwA4dN9TE^b7Z(Gq<3Z}UsU1p1eR@<7!fu~RFP@~=m3Pd$O$X7_{nV3_9 zmBh#OGI&T^9aBe&jp?Un{oe!(#b2*%29@dje)@9J|3e=tey!z2{7~W0$~O32_dQi5 z6fn0lycZ^}^|Y(>t;@N7{YrLrV`R|FlI-tz)}tkQlkq?6G5)`8r6XLA=exjt%OSE1)vfb_L7m_5)J_Uq91I zntgTiWwn`p_s$UmxmR5!Nm*GLW&YH^_wW4r<;xt{>5}(C7RPfwiq}g?2Fi?cZjX01 z^k*0ojm0Pi2hC5}aEf7Mg^oatu~ugU3v->Fuc{}+#R={NnSRFoPO(9m!rwZ{BWYyi zQ+>gGqJr9fC_|iW_x~IMT&iaYwW1_4CvEa3(q1F`8#5R5t=)V`6M&KZ*n;+{)rb{Qcur=h>$^1r%!4IYk025V8TT(YL{nZ~KE zH^Sr^FpGs}y23l(x=w0pf*)RAEn>ulJAaz;p%+&-sBqYX;@)>EYz&=1hc5|vCrb0R zlM+*OIx%P%LgA#9x`|LJ^#2ljsq`4NxTYYCcthasM7>iooONoG4;s%de}clC+jEWR z9(z7%PUu_+2|TKr_}+ZeWkH>3LO_V!y$dhSArSM(#DDG>34>z%NId}K9aOPT-74UUg zuxA=g51FSgoW0Cb3a!X|4CF%G}Zk1>JXCTN! z-WT2DyFZcr;PAy7wXiEf&UnR@bBa}CpGD2JB{A1C5GW*}aZ#u&lXc;DWz79??E0zLzf?l`Irlibqbq(PIdRB|*iGk3&s)L5UinP~w znwH<5T>hoxUtP36H(I;3|J%23duKlbJ5u!M5r?i#4!ZTO`_+w0aDBQ zq$17%w+>R}D8(g-B_bfIw&xyFqzjbCSjil4gCGp)$7oxsqBu?J_V!=!7(VR{e^89E zj~*>CHWj{eXAd8TuhBA^N4V)wCmi)lh;@GB4q!{8G1nyL6tK6DF zuV@*8r21`zjy^>Hm2!97lvOd~MP@Mn=V~z=Dg9})?gHpvrQpPn;o@`ZE}p4HEh z8wjz?B*?M5slQRnj6Z;()t@4>kwoO{$*#5E+*DRTW;6Jv-$q=wt?z>&Sh(6*8VyS? zBw_TeYkYEq_-`QHBZOK_B+>j38>!rvS!)d+-Vto$M@s|&aDhA>Zb-pX%TI^u2@^Bb zS9?$$bzTEI7U#{a2_lp?lE6wKuqictmRrr(1)@kw@}MRMTyFvvnMe23E{W|N&*z`9 zamBx06M22RtAvP|a{;_y-NcyQ;~xgG2Cv#(*kwSG!3k#5UqFznR%=&gGSj_jL-y6> zn5>AO%C0G4R{O1X)5eW?CHd5`W9hsLo#wj_AFk58iSJdSbJ|4+X^oa3OVZRY!3pFV z`+BbhWlGpP+qsmxFP?&lR-h0Y4q!kF1{vLK?6og-OFL?o;GJ-!)srj#j?r~{OnX2~ z`8ixzKB@fC);ARl+%cHF%|hRF!USR2z=B;+^Hmx{bLY$ntp1gB(NHNRaT-(eH06f{zG(BZL-XBRqqKAW3f5cn;?x+$L&KE3hP6|kG5T7| zg&P|64b|+^W9rGgR;`!T|G0W1>)f-;%{sRYh|!AA`t&ySVSU32EtmHxpJ)C0=}RZ! z?0qk~_C;+cbeVDAtkf!wKni6(?eH^ZT^*L+G5s5FYW~40Z;%f~C8F8u&> zKEVguJIrfd`G@EgPx|qDzQ_m3JY?_3vqHwfatcSVkX3AvAh^oSqrT5o#BwNGr4@s* zb~RsWP4et#%-De@Xq4*gASN%q-GpiU_1Bq{@zP*#vERk*Yh6ABS?`&`j##9CtOyLq<1=k153R4 z`AM%y6hO=FO);<*8XiYF*@`qhGhf;!yrjBT7&``}D<B`rqvqz=qb1=mpn>ws~;{&!Gk8GqXNte?q?oAt2#0DkD7GoMdy^b99yH86{PtCmF<@t&{Llm{Z)R9Uf z-;EYeCjHly=G`ii*8XsH&wP8{EMbK~sozU3un`!jh<9Z_J!N7$~%B ztm5!qoR<7%o!!F4Swr^am%7Rg=#`uC_woI8mzyXZqZq-;A>Ybow#(CI4<|Nul%zn9 ze53l3T|L8w^~kq*su_T}%wx~1ts{q5@%szMG*`D=q^n!;qffkozXu8<4X zdG^RF*qbz;Lz?t{79k=EAxqy$^xG|aS4_#0w>mL-?@msa%h7E^&1i7gxcbeUou^$A zv~LC+B`~Q16giFm;QheL#^r`innO+c+V3yB4X-}nJ%}geuq?m#*JrhB>UAtJDtqut zMUKzf%jtCg*>2?P+3xB4d!czUr+umLmTNT_j?u~ZYsIckNgn*LLY9r$;jE5ZcMSE7 zsu391Xc-DK$h8sTaajBF1ITPs$juRJ5WzfNuz%@Y_+~ehlnJX{99h_uD61*On%2ny;ST#02BaUdXecsxJ{k0tU^HxzKQDG0Z+3Ous{3n{N z{o-vWUHn{tt~#<)=$h4;o3;&oqPgAZvn`EF$NOikgI;AnqslqX5L&|NK65^0@*z&^_vcsnX2ruTpe{ukw$3m7_P20%^u0fHGD;MAS#JktWrfA~M zksk^N|4pe^E~O{3|1Dwyr6yV-Ttm^VUNBVuxLn$s?7FzsxzDm6Ta? z;k8y!=A|#!bvI^?-kJ1SYuZjU5T`zNd41~aRGi!n^b%oj+kLs`D!=1`*@(*BGncU# zSM|va1%FqRjekoAFa7+KWV&><=Pjf94vkA^`##f8D_Letgi zk2)z!-d|~0S)j7KKh;pfwy~w;l#+lCMIsr92ynnFr{nO3H)p+Xk7@35wrHq1LbZf| z&2WC^G&FYg!Z}N&rm-A%%zWpY^H1HMFNzTo(Mdm9F1qIBzOtvi{_mXLBna_K*fvnX zR<<6KEN0Ex*FM*{|=f=-H2;YC>VZP)ed79}=8?Xzh1PndG?YZK{LM1FHz@J2hu-8T%9SLyY~Fl7fpkRDFl1%3cR$WvSFx{PLDNlsg#F*D^4hOB zCi%gAW1>VV;?X#@wr-KIM_GUs{bLYU85|M$w}j&pc6-&7gF~nDaxjk!%h=p*J z2k%Wa)Zw++Xp~IZX+9w1Seu$YaVc`+Xb&qCLsAUqSSXa&e0!aA5F*nB_G|cyEj{lN zXE_9Y#m6;OoxOWjYSy=ea-f)Z*}CQ`sXNmUO8kxi&SGAbVHJ6 z7xqC%SPydInPktNvlrKy9o#i65q@?q`mlZN_nwpPV#2jgQz1+Lch2l|u7^hLtu>#| zB1#%?>Bn1-$P2H8D`m#ls{PuhTTQiCynh1%9}$0a&oPJ^KB24svD;k-&7a7~ysb-( zSgpmgyur~^XylcwQOoRG^vf{A#3#lNGTxqlI*9tJS3VdkTsujYa(7xhGv0eq9;+yt zo9%Q>x;XU2fn{cQZb?}O;i>oZ5--qZWf%ub+@HGvXO6cK*P}lZZ9i&3p{LqRR&g~o zDaF;Rsz5uba8>QaNCX8{XRa!m6I$-!hbKUhKRGm^X&mHn{sSAQ*^9c7>m!Vvx>)pb zl1rJ;#p~Lj*G3iLW0zf5w(0PM#1nh5eviHTUNmU|d%f2@<7q1tul;(%NlWfY$kk`p z6RLO4$3#0K`x(ll>cgA6&N{rX@pC15RE3*5yGQZ%D(MS4#trYf@~^`H%U_e=74HF~ zJ0-TU)>$RKfu-n_JVqr^2Us{k9AGo^Y;ltbyYor&{g;H@7?64D?)j!Sp6p7q1&2@L zuGayDdw*Thtpv!_v$KcH>+m!p<6r<*ul%?ZG5e5{==zqDX}*6vF{+47Wmf5Fw~QO+ zbCw>@+0fehLg{r;lMmayl+m&v^F?luYM9j)1vG192E!?{>X0N!5 zm>+-5`6RhU^1cQwjP|iU51uFiGnzj$myJNCaTEE-L9Coy5Kuqn`P#FxCz}{q3#{_wb6D|@-tf#@G*tebbl-ycj_t0)(^Z{zQh?;HchC`dHFP|QJF)(BX z;hlDv&4o1bS)WOBFFmhF@bm@8ISEjO?c^#1S-X2~ADQx(Z{w^{K=EDBoTG65cI4bf zkmZ&2YpAMk5tR1ul`09N8$2WRcLu6T(wvs!j=ni_br1_lV?TEswI+bNG?KitK)^Dx z>Vf9n0tTWjPq>@b$E376X4L?^YVuLG)B$$2^KHt-&pyZygU#R1(FSFIqBxqdy!(YO zZPEyKCfyqzId6{z)0h^+7w#LYWHf|_ANO(f_cseinb$oqjwFxGXS^bsA5l#}(f!zQ z$fD_~P!YI)D9p+S+}+GFUU<4WL)G)_l%#9#L3D8s_q&q77?hgD0h6h*Y&> zLf1(kWAEbGzLh7BhMDbr!)Fu#P<($irgIL7BvlYV`oNjmst?hrmxx<7e|Z{|HN?`o zzx1`pW6=D(@Lu^G;7CG~(Np)#rJd+VfRh%ID8F)9_Y!Sb=%=gd6ySAp*vn9}=A*Lr zjT4pK^leF-WsHRsvAR;^bQvF7fW=Kp-D0o+AL_K`t4pf)n+vZK|3+voZnFSEk+WAk z#*9b2yb)+^7WZ}ss{bxp0G$uQzP|NXYd>tu(p^)A<^#zNoId|#$=+MTYh@qmA}@XK zJ*kctP)S(Pyq_u35-ZzhRb}m2`>WykJ@{?253@<9jC1DW`gD)kaT-mr1?eINp1U_S zVc8`T`ibZjvqU*+(we8}4$YETSTCt@eg|Cm>j)S!rC^WVq`REcE^M_CzgX*sbC*-W zziV;xQlS-zmN;lC8beeb$D>D)w$Wh*shg70jGwWR>pZme)`?_*MmQ=?2|m zh59|pbxc(o0o%0Q^l7o(8%ZXAJTF8iKKd82buxG519gmmL3;^HG$ZR?cKemyreMI* zh^0GCp8J;i_noxt=J4tY-L+rMW0imN6LUAKTQ4rToBfOy@1TVTyvCQGN$-_Gs1m_` z$w8&*(czzqEQ8`rAWY$itvyz^Yl6&O~Qi7c;GP5ZZWqbLvD;~|=+-nkdjO!S+WNl3V zG>8j%C1?dj$=xKUO9FTX{p2m*B-~jIn>=9Bnjf#7szC@&HNH)y=LWyOMWr7b0Pg`4 zj!-l64CCD@&-jgc+IzO=6}hiGPut}>B69uscuza%*bRCAZhmF!#GA(Gaz=S+*Hv$J z2vkEm)WIcJ6AP|{D19TXH=AD+J0T5 zt{NoSfP5H?F*`)*2?PlunCOyZFwz7>dZLJelm&I9li=tVOC$rs1Sw;P2nGg}UI)Zo z3rG=Rlp-ZGk*4&bu-E;vXa9faeETo{@OXrocjhVgeU*+S2QGR3x6R~K)?yA$m)q$c3 z1T+t{mSWe~#SKD8KoY;gk|*cRlv)^1+5}Av#nBFm8egX_C2$PEUnr|z1(n1Slj+K9pshtUR>#j^C21}7!8fr} z`zzP#Jis;^PHkjvD6oV2LFgl_d*Iey#B2+AadySAigJMvo4ON%M~aGiV;!xZx-Lg( z9d854CCZgDkIwGLNAO)aTtI4FOe%-nl~|WMUQ{d>&iUTBwUXesRq8|Zl&>!85$vHj zV6*)*x)z)m2-bSS5aFl9RgAQb-GLgNfGm3{5@Uq69GH#bap9@m!vU+(vPVe_^FO8B zzkP0V8HdaakeJkhoKCQ3yaS*m*uFdV;e8e>aSAq`)nJ80Mys%=n!1lzqQ9XmIxof0+GD& z_TW+5IiRD%$~#W^Az?We?sum4&FO^yO(nmtV5G`RtTXM0sA=Nyz$|)bGNdj>nAZRq zGzWNkgdPGzh;NNDP9>DoPI*jWwWL&;(} zCPQWEz2`pMJPPIY5fDiT5|OEKIy@3Su68b)&dlb2j>52ha1}yC;BemKY|OU8+Nv zsd{pHo*w!2;uzr%Ohep9-|V84hE(qXLf-Ua7I-X?PBgkwg_uzDqtQs=uFa$Hg8e~4 z><$#Q63z~&(QiKfXz$wTh3W7`1At-8T(k&Cgjr#;0TUX0Th5^8AMaQ=jqsK+8K2Ui zenN623f0|Qd?A=)Qooy-KJHUS{I4`P<|*d4Un%#HgjRJp{8)mPnAwcXtgpw$Ku zkbWz6-Wh7q7iK0+*G|(4CN5X+LxeJPsu}f`UUB;C zu#^eP2tx9dXnOwAs&SZkhHJvsiP)|MF_?~ixH0NgTf~RW^t}~vffAxAa-1V?AvAKxmPgVEaO0*U?;K*28t8OAPw2EWtj*om{HXI1>aqU5}* zumlN-B`XLGUK6u0sFoy`yOLVORsw`cLC>!rgS@Xl=ft@6+J=9kPOgM9=`oS=CO-rF z0ulc&8VNcBV_N=N*Nn|W;T{@Oa+L>Y*9i#WtI1}(`{z^37)Hj>O92|Cc~R4Y>5&)- zU;62)=4AZTO->gVbE_P$|C~R(fr4u(cEju~`7pdQE_A7Tgj#g7Wn*fo2?Ffu6gw?1 zKGRuJ87`!Eejm$GGowcf0I*l&>eAiiBY+u^R%O->D6Wkp5mZ%O?M1h;RNefZSd1Lb zl0BmUH`|mImS-m3_tdN%=uID-FIS+%NSCu?thon8^A}1)|HWVNOl(5DzysEijPUCvlgr2tEY8F#k4I3y3YnxC%yBGQ z{E8Dibn{CxuAl&M@;ndxbwvfwf(xPSpU<`FV@kCM%n<1e2ck2*bQI_sp&>rne7oAa z-nkFeGuAP77uXRSsS;$ngN8mt;h>+#6!mcyvH~ks=Z5p&d?FTm^0g=S}OX!1- z?;e70eBHHt!T)Y7umMULihn`0d5jo1Uf9Vym}v$;D9+7SO+vo91Xx5Yjx)-aRV=ylfQ`L zd0V*T`^5W74M|gh{gedvMKhrFESN_h;I9QL8*{+yJg`aWyjZ}{&AWZ%x*R<^;O~WM zO|8b8O?HlolVNCZy7dC9B0bv(C*Y^WS@9wl^_4j!zhc6UqM&7^+=dva4eKXgaR?Km za_%RZhmxV}J-BS1gs8*mlKd)Yi$XYVdh*5-mQrZ?$^CEGx3W7pB2R|1DmehTN-Yq- zoq%D=s*-R!Wi$a_t^nJmH$~)PM$bivFvAItbP+35?8l%WLH1nGtF`abBT&!=q5-G1 z+j>4GHuf4|Ay+_%4Z80`e=i(!!7;;uXbz!dU)Q=h6=PwO`lzknwpZ#PEWvegq*m@3CM4$$d9*-R z$xW4weD+?(U`zZ#h#3=(&M%vRxj0!21tlqA@pAFgQUq4gQ=w8kvMEE z#XIEt00C7&iaUTCT`a^TTeb$qrF;t17|p?77HA3Sn#RMaU0S;+CB+3dfP*MXDr*T` zm@i)}dFwB}1y4^Z<0mkTVzCRz?12>vz*39(@rN)-nr-?*FC%-4k`g0xsM|6AbyqR4 zf5+T7nVux;u!}(^iAQ=?5ACZ>jK`pt)tdlD=%P9FD~NnL7qDf*uufxerpFzmUv1)b zuTFSeQ`z|M@VG=UM?b)6Nu5R{xA1!ES+NT=`uCbrA#Sm;!S~&^)Nzj?R@#_Fv zP}Z#h(a5bOV;4lYnpkwc2Qw4S2Ez;?IlE>%XFFi0#v1h@GO4S)pP#$apv`Z$Rb2<3 z9f13ewF)|L++r!gVo?174zJlso-YD3kM zQ$|1rp7KASB-}-CC{k|Qy)O`=JkPDL-?N$x9vY#cu1_F^WTpKbM9HB~>^^KzauvZm z{Q9kafe&oQ%1QCUL}~_Xrs|<`{AMazU-G8}-;EXw16J;Zs3U4l#hGnkg>QDpNBLDcKQizo$4_LuQdO#OiiHEL;uO8LzbF#(I{*+_3u%qfO@G z`j$mlo+6{ephE28+zG>ZX3frU096+sG1i4U&fy4?TrZ$DP9f73`m$oC zZe2l8l59;nAPM;cjVVkug~BNds8UP43f7b&iGQveK@8Z)&(xytYK#_r+%{aJTbUT^tssQEyl!e zCqv%{v7H+AGQzj~vB@h>Mm~FCk`d3x1??Z3?DyJIfJ$kSh(pG>R^4v zj(0OH8z;Qqm?I)HHhJzTJ{v}2y4(3}suIEXv^vrO-B3eczM_St4R{h-*$`{})i7wTe3H z!WROte{vs~5Wy$E>IjvkxOVkx${@{DPGZHpOk6v-%x=}vZpb6~En@k)t-18D1R(A> z?9qn-h<~BBF|iy&s17--6i&fUulCb}*KfJQvRr4_6SXTCOY;GkoV|C4YGlV+ol?K+ zbvjyFHLx>^byGaB#G(4tSq~fr7(YGA*8Szc;S7dY2XUp%OoAHQB%^ikHUHJ9z6aYJh%iXA6eOR zlx)2+i>}qb2U#0-($6sF%5GfdAx{K8znSqi&_f?-k zIrR4s>r-`TReA_2QZv*I^_rq&O6_3k9ym+N4?^27F_zCKI~QJF8b`4GaMn|Q5_r?v zJp?(3HVT@(eMANnd3TgV{GK_2_fzo&uE6mR+%RUo1s9;&Ex`$-8o z-xAcdW#=px**Xe{fWsvQj`_7|<=y8E;qYHAra1XI;$krAzUtFBljS^crRZBin5a!? zv0mgsj$uK5#3&!o(j8&~QBIN>6*mNfPkW$)x$;MD73!-Mm9lgxZHQV605Jle{c<)| zc|;u4Wm&`ZzoYEYgY@ovSPT?FLS56D5^e+1L@C~eAiq@| z44{MX2Dh}WmH*+A;M*_;cQV#%VF|Nmdf yGZ!4RY@&rt9v&)#e8HRt@roI6ZWUJ?WK87c$n8>vw69|M1A}ube>YB1U=jN%p)_i$1_&OTp z5j<=U-3um$Z#4TK2$es|*4L;NPcMvFXiumW&KK5dm5zVgbFyrfDSTsFI69s^{XzR| z{F|D%j)>}86{ap+(KraoXOn@0$ZmA%?!LFtuVLE3g)WR{7dKNcgE8La&@YUMc|$xiYBQKTrw z^n6s|l=I6ctMHeLR27k8gph-1eB2i?8hN{Ku~GU%lJZVE_wY$MnA^2SzTUs?9_;4* z5%+rJVz9i}s#gW$yx$3ZKGl!gG4DYJJIvtk3c>guO&iC?$Fjp2)o-F(uwDamH#(!l z&i~?o!aZqSc>`td329XclC6EPLp_x%oB`vIpd7Jv>f)a6gma0tz~^kHzb_U{cUMpB3zIYi@rC?rHul?kO!t=}JB-yujHO zB%-jb9}^t5jpJyg|95Ce@pR*T#xKcW4D`tJmU)4a%$Tzwwss+>l4I!a0yEWFtoxXb z|10rwKn_mRE2q}<(M64jt`TP@BZ^;5a^n+}V)b#aE5=p*FQm4qUDzpW$lG)?D(Jhc zb&UVs;Pbisbe-K{@hhVdg|#ay`vy+#O2X|4 z`L(9XtXnuSOO(3)+=*Q`-w4W!3uZRXIA*@1%sV8d#4dwfjs(>6GIQLT9oi71=YO2_;UF- z8^P&C>QRMJD&wivu=#f1Y$<7XXY`C&^nt; zNtSzG;eAz^yJj=+!n_HLSs_0mQDRS6{PNdLlqIXm+jr(E+<&~Q2s&*xnTU3C4G9)> zPu`}SRqP0~62pjmo@#}%SQCMTEj{U$F#(>zt{#GpywUAqt)G`KujV!ZqzQR<;?rf4 zhX7->ikaXHYhW>YF;<^3L;pIY?ax_nhg$g6XH48wm8DssjOGL@OpZ^Jx3~sOaJCs? zi#@s3-n?Lru4gyrUKC4;pPf^CMq*2~bn`BGo|?*)@~?+Isw9Y`HOQf7X&LA-c^@PG zqLf#*2*YSPZMhN6wbI7xk)2_%!vt)$)6Pe~-+ptxB_c3kL?&!Gdc~jeDZg*9P6$6a z#Vls-2CI7Kul{FM#A6*9XDYt!ZY8a-lZv%MNi_r;wVX9ho-lUan`fz3#Jya*9!|pC za5u0DQBoh&K5w!T?qg`noUD?!YKj_RbNTA#3%?bkk_;Lb?h-?1{2v$AS-czC$?fuq zK5=mp&TLC`E8!;v7e4XpcG^juOzM-PGqALs;5KugU2=3VV^4WBU_!K{BY>;*poU|D z=KFx$?9HjbD)ncb`g|Urr7kJsx&7|@CtC%oY&)cTA?KLZrO#{a-=axTpj=2*GU684 zIwb93V4!_b;D&$MvI3VtQs8(%v`vUjrw{Waq~_K3GOAR{jupzK(r9bkLu&S}at(sSccF*8I+1;jMW3trgYX94pdAkKfGx2|7Ft+_7KOG<4_r{OhH*Hj*?J10xuZr|3 z4aPwXQ#;zB>@#YTiwy4YfN9x z=)p-;a1Luj(BW;q9dY)>EqV#4?z1KBch9K$bHBV>nHT@YZSPPQOcNI9S~mx|)WX@5 z`Lq9?_9+p@@R-1QhNo>4m7}`Ix6KG=HR}G{=|`fy*i9W`H&$8R4sLJRjT(fi(iq!s zs?l%M#~35IX%1@2fg$o!K5c())YtvW6Dk-z8_|nF;s^UK4xwjSL`kB5 z)@gw=C-s`=e4$O7!aa5z*3$QZGHUb=HB7oasnAk)E)tR+jSuHc9`<&{2PPy&@MuB} zW#02A5~IRl1oB>O+K=*J3^MzD;ewBrf`{CTG6owBY;)a=?Py^u_zExbTSKqA_u{Br zpGRE^pZmHQU+_l`J~QD+fUVMTFdDGz18Zg7RET2Of${s|6qNiN(=@*)0b;cNzNkn8h3 z*+>#W8YU)0gWfpCBJJ9UiVC(kMr{cJk`VFIc}L$?+sZDSZ*5_159Ia?x_(%GrXaRC zXEZ$yAU7M6}bXv)a&=sF%(rH4MK**CPmCvcCp#xm*@^U3ov*A6h z2;(8~B9=9=8De%DVVjUqfZw}$Ak2HI@a9L0PxIWuygy{O>ojf(bX@Cqy zOZnR%2E#f^p%cKAmD_meFB)L;w!EqmFiaXeXDXrR{y2U?r-r%PPXE^_W)Vv>FWw*^ zAfS^9HI042AQejS_lNa8fa9-i_&)o|&~kp?9UG@5+fgp~Y_C~xEeb{N&*|?;wV*t~ z!e{YaUS3vHSJTny^M!#UW7TQjDlTE+rVbuY?^3pbJM^5p))Se)97#Lwg8!T7Ia3(J zfJMjGqKY|%_iJZQ5o=#m;%dx`PaT#$?kBaX+nb)jNd{SJ=y{p)`N zr-D=j#LBUnp}D!agVRFOn8 zL;u+?Eq9c&8F@-+VPA&l8?$CJeluId!v|kc3io{pY4q+gc00r}4%Ks8CzDasf55Mb zT$4DmGry!{Ks#t`Z0yI1z3&^hLXJwZs(H$g<0T49Sxml#Juf`h*dHwD+S}Wu2x@RX zRII!+GfpNRkX$ZyJ`2IXu{L;Wy}i9Lg`^wBBYhT=)3VMJL_HVi#ihHDJ!_Z& z^yd3`+|i6j|0Y7zYnaR1lfe@;LrqOhhci-e`$jh>;gI3evPWVscNhgX&uwg3%j#|J zzT%E&@cp-PH|#vUinr2w!RC1-CGWbUDL-#+UB4})@9QUY5=QgAmy0FF(;761uG-6J zW;ux|UPX!hD@sQqRvj0kl9HaS52Vg)_kgdma&j1Li_B^E=&=UcXaxY12zfjvf6f} z2cfg9+1&ut7{}T2c!XdFQ0sA|6M(N|YFJD-Ve|`G8zjo#1R1+WG zR=Pdj2&we#@cZ7dum}4Zo~hJB7vpu0;sg&OGhw9W?31_4kjljXJ0aRWDpu2mCsqg zTjISU_)GZBWU;AAzfLwQZOHDMTD{jVhG*3F?ofCN+YgrC?!V=WJ5R2&2{HLMKr3uv zTj8AP=;(|V+x$*sso3F{}8 zVhC;dZ8&XO*eKHkZ9dWXd>OQ8lkQfD!De0R9zWZnD1M3D>tlCljY5*Qw=Xfm^ctrc zl?pZgEg{Swb)`>R;Wno#O+V6URldVGXnhcR`t&K}#Mi!Ux#<<%n%_UAWRK<=qT(m$ zak1YoibO1KXlPhSSCpT>)O;~-yw>vtk`9~cH>gdVA4@&_pHqMo)TYvw=5=$v_E`+m z+{pp&Ygrli6K`OP*A470iU7uw>W1anSAH>m!qHL;>JVEPVMMKQPF_cTINws(2b3mE zE0}`qxMkeY2@-pst*L;&$uz$|p>J}d%fZ0ra3(DcO_$|bb#?XYRK73A#}2-Pe#s}( zBJTfzWLikgy@V0+hu3^jQkU!B1Xu1yD*qAid<}DcJDI~YNF=TX^D&JO04hZ9heX9Q zm3(*n+TCokS_axe-YP`H3LtuBh8vqlL_Bl(FY1Zsd>}tP_Uoy28=b8yC1hk|CLIR_ zVT_!tYqA0VVuLY2uww`_#QrAYv)HaU)#)3pR#S_331|1*j%A40H4EXa%4JsH9dq~( zJIRVD;#X8tR2)BEG#HkKJaG`2OC6ZIJIor z3&O?ahBGujq+_B^u{H#!oqF`)vgRLm+5d)^(_4KcJ`fG1{a}0L8lUd(Zp6N+TWDjj zvIG~qHSS2KQy|n)bzIksD6Q-d{Zr8L$@yWv>bH9DjTD6t=R6Q;DS_{S2-@7#> z!yCoe|H1Hx0%Uw09i3UG4)&~PjC9}X>hKLN8t{*;&E^LG#l;!2xb@9Edl$2RYW%2@ z6CCPxbn#w6Nk1%hOw*bQ%;!Ee=I)H!q#^fofzA;k=%NPyT~qQe}K%zN{8a&mIb_{TKJ#V*|$o;3kKpBS2ja<)C#%eH+O8WY(*e3QIstSGF^$(w{NF$J6hhj$ zV$WqWJ82WHrm9NefialjJvio>sD9yyKQwxY1K=&aR+OQC`2Twt9>fM?1#iG%d*edxl4om^AeiKmzG4QD|V z!9|mC(0wQUyYIKQuqPA6+MP+9meWn;oR;Hd&U;$E3cmT)qkY0JcWRY=nx@ONU+%cn zDE)5>L-U=1S?^2yy&fJkU6)!z;DcvCepuLW#?;2JX!o^j-=z_PojG@D#mNj(o?+N=zogu$C= z(>@=Tt+T~68AK%MEwhFxQ=fBZ4HLKJlT>O&VxkzZRAzjH)qIb3Sj=&@N^i5)Me;YN z-rg+mJAkPs^*U8jwD8p4~NM^Hqz?zp!TND^U7h~ z=i%;aO$`_9Ep}Z}4WWm+MUDS|WmNJ3Z4^<|?)Jk|`n28(y@mIN)!MM8T>5 z{$GVEZ9(u4vPX}K{*%vPpzLdv&otw>4YO-gwZ$pPS}RS3B!~ zcF=T!32LAfzA4aT3<@lMBkv1pi(_&6eoInkL1GfT~|FpN2vKM->S~Hq9QIkDk z4SmRH$CMzWkASebDFLaeD6~9`n1S<)5$91QOG4SE*08$37<8 zwj>^S9eDgOD(CuG*wFB-ZS_M9;d~5n{DeHX00(q`%JTQe@vU~h2uwK&)%O9W)bCdG z<`osKF5K@eOtbJoDcH4xLntsvN3(?QwiHsFr_Ilz8}W4PV1DPw8J}%Km;2~1E%Ofi zPhSde%#2NAxcA+)bw}QriSnB_uO7kor3rdyhkRpxejp4UBjaBb!=xG{#sKd|%IHoM zx#aPz;~=ZuVw;2s8XDTxR3){b$N8!+9OmM7Vd?tWgnn*OQIVh+lwM~sV?eEftfB$F zoubj}p$xG^AuspoRU1Aa-c};`OZ134Nj$79urooCT~!?%$(B{QNwNP$08v#{ef04s z4IQ1#7mu60T9vi$y|pc8#h;vzMBBjm^gdPBX}`ZYPyp1B|DcJTI`uvF#jGP1c+LaQ zwBNjWQ;_;wo}cl}Mqz17&nrCLA74cSXlQ8-NAr|!PjiJ$072s=c2oh0>-KPWk;r5J z!Zh8Bt0M#}7x1~**x0gzmK%rRS9nL)JEb_0osK1r0BvRgnM`qA4m&+qNMBwyl981q z;Iw$Mk?KO?bJ;PzLX?VbeWGxVp?ZtKH6FYyjwxo(>oAv`C2>;yb^WIuoY zJl*;oVjRI6OlVW*SG(ZdI28k5v!2%X{ys+`ePB#ozd!Ub`6dWoKxsaF_%M3zIggZR zl)!3?sIKQm3FX15{4VdhK0nv-zFGtFhB^0SB1zk#7a(zkT}# zK|TjI%qNpyk)-Lr%MZZ5+ABHX;(;Ig~(}OWO2dy=iechc-Ad`rb#Wu1Qu zGpVYnu^E1cXR2Stei0@0>lhS}SzsAKpo!jr$zOyZ`FpbG3q1kfdzzi`V#|u%H|n}S zJ4t=|;IITfSI_D8ov>GkTvm8q9 zu%D4E|K`opPGT1#P!=rhiT9qnk>2gu`p7m4BKyCaNbL1`q^7Ca4GyLsM?oN}dKNfv zoxmyUL!nL?GShB3DD=EM?7$*mF@TUud|J$m6zb7#2E`DyHFaAy zc;C5m73nLOqS8h@sd(NJltd;EzwNC)wClVAuZqa28nfxAiyf{+#Au+q_byaoBA%J_ zpILy-nNreWvl9~e;^N}$qM}b^B)M5-zNsHj{rVPOCBnlOO)0;6BOq^YPwhNq5?{1n zexpS!(nFux z&rIS3B)iwbsMESMa_TpZKt4;2@jI^f6`AC|PE;;c*A@fulD~&U>S-sx*ST`!-nhwp!Wzx)P9UcOKt31@r0|BjBeYyDe+=J7y~vSe0{$o}iP!1y*QO=`r$|`Qje*pi zFZA^EvV{6f8)wJ8%vk$%D-j02J`uD7V(VW}P(Vf!i3IKiRn!3+={`b}#*u=`*18~C z2zIt7O7#n7DdTmpp|t{_4EpksEA-xS$y^8^#xbZA(ukm?TJ9Y5DFYBOQ16c-ec*vs z&Ue=XCGBfg7R8(OKK4O$U$ST6h%O6WE@cjDJy1@Um!FTaKA5h5z!y%yPPM|i>M+0r z_The%>NvpLUZh#6+^GeUG&VjSiTzz4vQ7P3+@c>6NtcE?7h^s3@6^_jk&(r%+;q(G z65Zq@N2c@((FT0?i+y4MsJu?h)C+`5J8Wh{U#rg6R$5T~YutpvvF8-$=HyVl$+4U$ zA(*kGsaLSKx1Zj#zDxX_v@=SCC3vbhAegGF)AFg8HaDfB-`K4G7*z49=*!kW2{GlUTZq{>sPV_VIS{l2SBLnj(g}; zOm5Ei2uH`q$LW8wOpWBLB77` zGu3w>oAdWpeuZ1U(OxLeO^7GXL-tdIxI<=&Dd!EJI5Vm2~_PI#)(m0 z@B@0y=in@7E8zM?W%s*-H%e_6TJi%;Erm@T>#;_DmQCn+megZ$y+M?%K#y{MtVm*3p9 zQ77FoGM#o3jihS<&2hgF<#_q%ql9*IV5v06vwq$*oj3pp?yPX46xb-=hRq&@OZ>K> zr=#n!M4yWD_xB&Q?=&ixkgeLkUA<{qb(sIYL9T1HG^sr;&+-1Q17-fa39(r7`%&`Z z7e1yCv(H(?ZF4RQ{ZW!6Q*Y}r2)PbHGS?Ho7>USJNEdP|w4Bg&F*)5FhMFV`5BC>P za0kH8L09X3wmoXRotxr-+U$PTBYT4-bZKC5r`~$~6#R(Gv_q6sAe1#pl6u8{p;uQ{ zQ~Q;|>xj>4B>t=6p!q@%5gq@t{Y{p1jB@AEkQf%L{jxYJ+RS?TTY$^@57!e!PNPbY zrknl7aFS+p;ciS-sE1i+H&cu6LOCh8K<}^V%s}7`DC#x|EIbQm(Po6%t zUkT@S=%$Q^lo_=9yI*)|zb2F!|vMoO?Cb;qqMq~^BIyx&P?BM47#@!|g9VZ=ro zM6AW#v}NfUNP*&7F90J%?wc8>WWV?dHWg5WBZ$ONuI@g0d>p*8W=Y0Z;!^1~&rOYU zO877+{Ez}%v}#C}N>QtIayyQ_ zQMU)RdyM{fp*l04({`+iS2CBi5g=%@t}EdJw}%}f%Z_J7l>^J5;999Fn3zz4I*S-7 zc#aR%!vJ+|Z(1MtTQ7eyKf};h0*oHOr{jmryu46=kEV?5c8ek)O@5&{P1XDztI(7+!RM zHU7(&a^OFJUJ2S~&hBR)e}YWq0o1Jtq$=;&+@Yt;$obcPk3&S!HgLT}PD@-gJf^Is zrY21svA~BDYUzT55A-EcXI)<4XnA&uDl6hz0Yio10St~n(47M?y|>AodBl>S6w3>0 zJ2>4Qb>>oO-%Jg9{{qrX#n$5ye7;AGWF!gineyN(6B84Q<2o2P#J6(dR6!nBUWe^S z1igC=J0NoTKezP^*rfk{E$i8P0g7k zqer~}mzcKORSUX9IrA%WclP-O1*pCNq$_}wt#Y%99>tyJXy><{<^U0Rt9Iu!3v3D# zuJ@aYfO&O*CwqA{=#$3T-e@-bLg@a|n2eR*rKB<>J~mcSSGWIgsRKlY+V%y=AHZ71 zZw8NnoJp;T-{5XJ!XWXvJ(6g}^7jS%j0B|g2q^AjzzK%x9ZfNLS0BlP5P{0{Pm!y& zHFvK&zYIWSmr+g5gb0+;nOaH3ftK+uW#Vgc8S1ES0kr0<$F;*MuE06q&6k6l(h z?<b+a`{MESXilZ`>Bpf)d^0Sb|4D=P-7 zK^!e`u)}h)KxtN8-muiac?K%@hNZenwdOe;umUve>RHyTHt$FJPDa|F}`sz~}7k0MU6E9BL4D6jyU-M=kz1X%b9 z!0-yYrI!|#mYSeRk|}xHdbx}?Aar8|JWnsso|@nEBn2En6XzpH^!)iEkG*O<;27mJ zG&Br*je*()J!Pub37=1HOo7}MxW8OED>2NKPt7YRuox$Wd_M?zztQmR+l!5Z*tf8> zo~2Yl!j8dMq-noh^e@?S4NGU+%uqb)aW&}k~;f=5DF38`l0vU^lcU%QU%&i zj{BC6kJkvJ1YOB4>$=mr8~17mTY<3D1dTK#Nq2UNkpO0?S$cZ9wwvR{ggDgleZ2LATxLULpfr+zIxPV9 z-v)^Kcf$~3M2h>ixL#6nKdOh~azJ`n-*!FvOI~;gSoJ4y0zWHRgW=a?xv|PY;W~u} zd6d*Z_XM~RtMl&U=tg^$`EMSmM-a!z%&Z{T?*x1scB{!Us`MY-6Rj5%w58J)b_t1dN&#(q}=`n%dPCZw`T8@U^^~Tou;B~LA%iPl+D@PJHAVqbk_P}5PrcJ|EPRexM-T4grcub*Z zwYsiuYQy|gTmU8?4GleguZBX0^!Pp0MPm3p(j5sb>ZF1Pkoz{nyvPb7Uv#MCQxeMi zD=I2f>jCXxufAVTw#{MG*VQG~@j4sh{mJpR>vNS8hkyce>#c)DIw zC(Ge_AI%4oD)$Tph1Wc6N(!U;E`I7tYkv@ru&uh~ zaWG&>xlY$*{U+)o<1e^HvO6FzO8fJy#wCY^CrGrtIm-Ci*oDE{*9EuBKR;If@&-&C zQRFZk0SO5UF9O4ckw*aH|2Uf;!DQo;<=F8NcPIR?6vd_l!==~KQF}*_aRB?bu!H!* zl7<4!4IUtDCU9?f6yc5zih|ye&h)p zBb4)bkAuYo;|LU{hRtuIg6ZZ)!=42|BZG?m86s8P*vr%i&)jlpl<9bKK4Y6pg5qL1!55bSq_eF$2o&2Vmbu04-T<&flH(1Dr=DP}apZr8zmlE0Mx!KKCc-a&cZj z5aF}EMNaoTmX?n!S^$*O^CWq}>WwD`1{gYmx|tLDKB=H#90CCJcwF1Ix~|2H1N2`^ zzXzh|0NrBlfgkL_Na-;H{A&8KO4_3Oi*{h0InrGKcPe`v2xaJC3UEhx!*@VwJ}3v| zEQch7n8WOm%e)(P2#GrlaHq2XZiv5#8Z9r?tjy`|-U9u`uFInpC@LmdJpe1lV0$#5 zLAQa!vc9KB2Gru+A{q zKm%eP0ZZTzGAMMz05DEokO>&LH|$Q^qiR2))tba@HEPsLQBhF@7&0*U?C;Ql_YJjV z_gX~JNR%D`i2c^9JT%o(2GRzqntVV$RF1pdolQ7)JrA+_jzXO^*8)tmlKSnHv8lz9QHp)=Y zVP`mLfc;}{C=v{kxC@oC3xlM@&GFk?mA|x9)5$=}P7<35YUR6rBY^Xt2)RpsvQm11 zEpGsOVhw7Zr@G89{WTqtilOVa_T?`Y20XmKSjG(k8tx$g3b?Q^EkHNVn`-BVfYgT4 z3@F=%9y!RoMW~bow^{*wdJ#zK93Z0m64^sQYNiACJx14gDk#~eAV@n5+i2NTaVB*dd$NF;X*V2)aurC) zjyl(0i`fFBB#Q(~j;f}l_5Qlb$JfS{RK%#F_RvWa0HeiBgVPRZ%bFc0=z~_n==EZI zK>hi&rOE-=x&P=&I%u;fc+5q2&&j9q9f4Cn>bLcd0TYqR%E~V}o)yPW%5!s>Jc2)q zmRHGny_6lV_YIt%0PthM-a#`4@DVh?;LKugF%?w5bkmnMeFr2)^kBX@QNYciU|`il zK!8A@BXPY05sRb`G=E~! zGH`)$X&Ohj$mXl{VRl~5@?_e6`CI`Ei6WA#zr@Ej#=-ao4DFY z=Wf7?&H?@{bG--X8$FKfR5{xPEsOAJq4fk~4M2bZGawjraozOGdfz#Es3&zFWq*0N z1bT3l^VQww#7|oeK))b*loLHY#O-7~yTlN*I-WI?vQbvXZ154e9J>_X$)otJ2QF;L zd0kMNB$I7_WNzuY7UGBU@~4)T40=roKR@DC((BTi>||c(mxUzO&*;23)4O*5q$FbI| z*4({lRxbXDvMIBy*W{$u+d4yMX>qkC877SDY`pWC1h79}De3K|RXSeyU%-)_U%l+9 z2g8{8VS>Lg;=f=Ka@)MV^E+vS!&(Kkc@3JDz{r)lYkvp2VP`GOGd)0=!%##IfE0mt zLP0r*0J!4-t$o06x0^H!u?M8|2+$emfH9ysQc!E=ytY;D;r{Ng^38c0MPZFKP0@Y> z%!=Ic2hiPH;|NZq$X{b>I($hM)#U~-=$UmZFx>op;J>eruumvF^brEu6)^n#hed83 z0A^5MZJRO$cs4pvs033x(iGSkU^EM~jg9~XvRnJ2p3{>GdNAfO6BsjtA)qzpxZrh> zt)~EbxWEalQql&UDr3-I)B$}j&jXJIxDje@hsQ$H-RDqKNanSP1+x|C`R1ohd+e4Y z0Y1OpxNye=Or&gZ8!3vH033LM*#-KeeAMZlY@elC-V(;}PN6-5HogkE?~R3^uFcuB zZ*h!`6BvyHLgSqv($WsLyej3v&HHB&>ZvwrH^CR8BS8QC-fRe@q*myC3l^2%{TPgM z0faoGTABh5rpkpw#fIT!Lr~{$0Wj*8L?j7(`&;Ab1@7ISlldytLRYIepyUvNB$lAS z1}$_}i%}Y=QQe?V7FE@^CNv3xL!-{_IpBW^V~L)Tq(GGBJ3vL8#qK~bRA9>kyI^!@ zwV5bfVrw`P3A!K9-;ka|f>H$T8afK93l!>epb$GhKNs6RbKW1#$ALpcH@Lk#5;*#S zb4KMX+jAy3&XRxLLtlD0R_a~-lf5+eCZ!Ni6iU?yzU@4!gMhYssn#%I!;I!aur4^=C9Es1S?(oj>i1@X6_=B^e%6{WeH_sr2AY5RM3g-J66hgYEvz` zD?zr<;`ENf$sdgE9LP3EJW^hV3Ct=y?)MImLM76mQQi8 z|Gsd-yJiwm659k0)?1rDIjG(Jo4Bjn6djdU^j&`7d)US8txC;$H?+r#^_MU7!fcC8 zBc*LW2eYk1m1)6aSOh*EPdl}leFDNWo2Hu#$-7p>Q z$LzG%37`%p|Duz=8mB^;Kg8205loD6$a(5;n^W%oF@l87XkGcziC4H!&u?Ys;n$8X>{yal_=pP){2eE~#1 z(qgCZy}f))B04?`MCx{f>B=?|id+O9zth0Q^UusUlAPaN9eRDPIvL<+H~JA;RQ`uh zMp5a4_HX`=;rflV-VQ8b9b1nYVO5SM8+OxyzU#UxfXI$%W#{{i2lA<%!GI)>P&FnW z14o@Jsfj*+$v&8L$GSv=LG3`u4LsT%Yg<>WIrp97Gk2wp0^Wo2;0?A!4QNr;sIk(t zFsdR$PT+NXS7{su%HoPUFe;OYoDIO^>$f3~0lE}0tDPc~XZKO`znjbKSAIzdt|c|# z0pv>2vK?@PezbXhNN%dh&2c`uY3X48@Q`4uhjVs(l$5!$c@WAm&OQ&C;3q=43^)z? zJ?wiDCT3<+FzcPa21FLpR~L%M4^$R)^a-zc-w;Xbdq0^dmgSbk}*rgzjx!zMMxD%B4=NqiMiG5WhU)Cp|g+Hrp}-vGDgL zoKNo6$1VM8nw9VoRYFlDQ2NNt6Thg$l9@Gs8azWy&_sxdfsBuig3bf9q-rv=E@*)z zT3TqpN_mn5mFm{4Jyc%I8!G7>JY0A<$7hox!+!HecnqUN&c#qJ@v5BanG#1iZb+w#PfzJ05VpPoL0EhUyE zmc3AFHBdjOd)jZx08B504i;c)mKb=LaI@dvo+waIQVv(qS1gGjvnEVD+#UEpzODuP z8{)$wA{zbt@H8|c;@8&i+{aI!27UhgNJB&8aKL(^gc!1Tyw=Nipb};OBM=3L>YmX; zysbApIG@)b3EBq;+YT|r2OU!^NSWh?d|KHD!eSk%&ss4Q)YK<^T5ssSEH>HgPO^$F zq+^E#Zm953QRPUS^kP4K`bu~(l|SA)u6Kj*7#_;{|L)>b%?y+1FhiGR6@flMS z%ptshjtdbe2Knt9ka-&#`Y$q77Godoy}>ftPgGP?woJds1m(yj8v$q?UDe4}e$K|G zywk8ZQ%m@y<_R8NCNLU#99Bc)e6PA=s7EC!Aq<)o;)|+1-Ld?{t+f6FP}5r75J#@EgJ`LiK(jHJo|_Kd)IjJ= z>5L>b{t@~Z84GJew{Y;xSNsL*-lHbu+?Pl-D$ zTIf-A-BZ3$9agnf49e#T4rfg3b5i0qiQZ^ItG6#c@%Z2<(QcI)Q6$h>ghhO!r~2R} z0uiUdQ3`d?xKqKMnwskB?#|eEdandtHON**K|%^ajr-&cCL4%|h`<{IfnXpUOfMd9 z%P$z_^*4E5VJ9Xg+PSz$0t+2sFiIx-@Z<#UIXq~Nb67v;W^N!0#P6f$udVEX`Qq2i zMNTfZ;Z>m0xBw0Pf{)KoDu6w}-QXJ4yC&dQ3jXeOLLLFs)CRN`$5%^)3s`XwXtx6f z0-%Ns-z>jj_=y2f4~lzVK%2FFYAVs9gi)_agCzlZg5wN?5NEzE@Fjh=3*4NYDpY8w1`SEw%Pj(2*MUTYeTead8gzvy+aPdKRM9va;5T_46e*BQJ zgqrEdOvg|f=e7Op1qVm0MS<;fRoK0d`>B~HFwCKz#F?NJat7>^U_%jP;DOPC`M>N7 z5-{AC<4>Ur-aWuT?;xY13ceOt{r=R>8l;rGyu8*kr|$0Vs!uV|(VHHzip?+Q3UTy%5@3dCh!#&?2nrGl2?_B%*n*~f&~%{C^Jf=RAeA%ApSG8KDW2GKME6vrhuoHS2ztrqruogJTHh?UCY9>UIrBSN^0<^NRM#qX0jQzQykv87R9$$j+b5HYqp*8HL^n91*&O z5>p^7u)`?ct(1wz|3tcJgoWojHuD5cjE1@5K zYV7pKQx%o^cv+tU$;0Ekiw`=u5_igt_4UtLSRR3Cl##2F&K%7-m_bc-?qIH$lUEAy z=k88z=fee6j_1=Z#GfajAxtL|j_eu`5RmVC0c=mR`6f5H*?{F1b-T5m zr@#sz5(`Ebb$90*<4Of~692$+VKRl2_5O0#BctuYV_--r(tXkTNLJG32xRDFvj;Z= zBja$5wKhBg0s%1@x}s&`?o4f@g*S|aTq{VKj)etMK-<=@zN}jK!`fzcaNEwOP(Na1 zVhRojfKym}OiHRy%}{TKidcun+JED;IRsN{yMXwWt8nb828LpCkHhe2EW5a-OBw0&T z)WYQx9zMQjx()9${F^})lFC+QTq2?;V_Qv+eJT&bvY8{6p=ba`=j-g2VDG`yu3jq! z3JPn2OT7*zAtB+jrq4g|T@YXHwTcEHcJ=lB026S)PC?8>hz)!++u$TCo7woy>r;^R zMjnz=C-8nw^~;2dJ}OV2S_?6GVVdo-n*QEw>n>16@FF)ghENL8{2_Q70cErqfQE!(YpMGk5 zK!2t7`75!`P;!1`gX>Q4H~#GIPd=VOmVA|G-7lpB-%QNT7V zrkWlXo|~I1ul|eyoMu@?#WzB_S$olJ_2N>e1@>Zw&A|)jy^75sB9B&QPHEbS=`A6it z9Jk^Y11n%=QDPwC5)(7hyfO^{6XcWCB_+%=&F!IFAkX2@Tl__{|C;^T*cw+{jT zmfG>L5t^wo4*(DM1s4}CwL;ntP~RTm;pJAh$x2I$g1Y4TvIyM0K-1L5CISd)az@5* z>RT{0Oh4#^NY8;7SdE{pOv|KG=L$bf3_&3asM-q_gK?WIk>ckfwa5gJ$N zQw*&d*_I4QH@rwcD z^3!?y?&6~FSfTm~7%UZ6R>m&TZ;gPKE>QIlIUP+0)B17xKsPVg;vNtQJg9e=da$+@ z1g3vpfY<;mbH&`UP?gT}Y)sw%LJ8avyhHx|`}eAQur2^1=6V+0NvwQlnBshT;HyB}UOZ#KZ05S6?Kqu5i)@prcNvVR%;_MBx5mdnIrig(UCTYzi6S?suRe{^ixxbFgL5+T*yydk!yrdk80= z!UL19`eA5D5nxh=Ql)t3(H4eWL|NXGcqz3zKN*; z^EZHWOK51|Lp{EWsco zAd1>81S+P06tW!YXGnM+YH4aJ35NmOKDiyC5{k07t%23moLS1|L7oa~c+h%~;{xo9 z?||3AL!fUwyJ=yAwj+qr@zyk9n?L)k8k0hHX9C~pTE#tuy!jUIgrN6W>xnt$aATXd>%msZ< z5%@lFOleKc%^8X`hqqUbV6KJ~84XPg2&nveTJWmvWB-7FGgKFt#hubt2>|fn*gODB z(Dd~5y88QH+1ar`Q5D3W(glff{u8i-!?UwB6cZO*7&)r#koW7mc3iU)^Q$bm>9A+`kAM=!YCb}dx-n7k1`X`94ls&U2VU!B;7De}5_lnB z33Icv2eh^d|B4`%4H$m|PfAKk#P>e5rjSxL&J0C)Z*Q;M=fPXR?HFF>f3fx6@mRj^ z|M-pUnKB|-B_WX+%1lEF2?>#rO-3ktCL<*gWtPY;o61(%Get&aRw7g=zR&CR`FJ!qTBbXPeW0To}!*VXni(b~Vl_e~(vO2&;4ig^g4} z@lDz$qZaNTjf_WJRn&(vY3(Nt_t%r8o5Zr&1`j@59jo++$Ttg{+cl2p)$ww$w1m>@F$a&+{x6FWwIY`VQF-y*KDcyzA-?mA-0?@Pyda;3YbV=zI-_Z%7kS8 zZK#A3l6~=uFQXF=T+GbLp#dta$%7yM<24Hi_K{xhc)fiE#xQQY+W{`yxy?Pxc0Pk! z@>iefiyTD_#&NubWItAu?_yX;dnlzfnWoP2ICl)&D9L`Cy!Kg#L6bO^U@TOJ`yB_+ zG>aqVJXOE5OaR26!fQ?$URWV`VZnt+Okm!)?Cv>pg%Rc-C#!Uv41V=7VWC}7eGK8G8 z00{D#-nX6ZVX(zxz4Lo62B1`xzSz;*>(HOGm5nH=3~p7#Lpb^Pj=0Tvr=q`qeYw1K zm;6In>NhUx>su8UxGfFk=n58WR+3)`w_w5XIWl7M@ZT?-kG0avF=+rQIy*Z{8StoV zlk@Wu-wLot5n~0W-0l*KiH0x_23C~Z8#mI)eE_{;&o8F#!6?bW*WK6{a&Hn8sb;{f zsHi?J4iVO(V8u?Te&Y8AGSSjzq==a8Z%0>g3DWZZ4*H4*RhHy6Z_Lq7Kxg%JdEkC> z@>BQPe-%AqA!up)4x*(C*2`^zUfgy4m(yH)>QRB)-5s6z`C_n3M7(Q}krP0JFuV2z z3I{eZ-Y~U{b9=q!M=@xm?p4S>p=l z7`>d^Kcf$D7z4=Z>(T9Yk=SjoQLR_!MB{yvPwW8$f8z^wLok} z7)a20a`^w5peFV%z!rFL6b*{Z7$Y@;LE7~M`pS?wtd?OcQI$Im>|~tiRA5m<(R%8% zG)hdC{{eK!V~{ARQ@rI|Ild+fWkVIw$4!&_)V1SVbfk1=^-fYCFyx*t9>uGVqKYaj?_@+lQRB%>K()c_3+D1Oinf{wl*}7<0G>^q+v#U zv`K5%a@cRJKV72cnd&L&AFWis$pSI{&b+v{ZZbbVZ@h^)p>G)^U-a^_M>MbUE{q>2 zaps&<_wL;TyH9}*&5VEBNz2eWG5lY~HjS_grKg#inB)xRNv<-`(UGSQUabz;Jfi&s zVq*Q74!YL&vNo45M?ktAV!@e|k|M~*M|xLi+6c)KU(#huncbp|uwK~r`=BspeLpG2 z-q_yGz|aU!dp-8Ns;VlgO=d%STENEnCuv3*)z*H3Uj>wv)85U?gfRfss=WH0>mNSd z>r}EdEgZjt!!Di~`$B&$FE?S-^YM$)UV;p$_P3_`hPJ1Lwe`_33&#uWQO)?+1_%vi zk{;{jx=wfU6kJ}##7o&q<(w*Nc~DHc^N8=CxV2l9{mv#=e~j)oswlG`Xn^>7mWodc zCCKHJdDu<(?^?hWK5~CxS=KZrqh?*~GIpfYwue0ML$6wfPF-gwQ^AFb7W}QU7MsGU zMKEyQlTY4LRo&ZOZ8GIrWbw6WY%ERgH#+K@Q^%g49+IxK9s~YXf4zj0Yj2hRSbTiE z&u1&oM(3YKjSOWLL7rd4cM0&$7uO49^NgxLJQ-096*!S=bQ)|c9(Wp_E|kW2IJ)W#5fob!?kq* zSo^0H=u|QSz`QdZ4qid^>85Tc(9)e1VM303(if+U04C@d|FIgc1OLQsANPLg9#rA^yF+fwmi7a@ z#%KEOL;<}PuT=9@DcEYwptd5EaFS4%ul>V*)tt8c`Q?p5*;AZuF6u3#qh_Kv?%BK= zU^{i=d&S6=lQi0@BS6^;r8*$SUJ9*F_K%P{c(B-MST^LtAUpuZg?g}0X@$KXspbNi zI6wBP>-xQK-yAWeFBW199{ALlsMv{5*U-@D-h`Os+&=e9g$Y~oCa7~L_@1TU--u;A zO+&)&&+m8FXU|aBE<)kV!zC3vP;@cPc-LR3bd=~D@Jba5r>Ca$7{4QDV~N~~F5~=O z6V-Wik}K6xt6&FbjSjF!l}#Pdj^44i%C+?bKQWFhEV$N(D7H>bPk+V{UmN0C^oc?1 z@9AB76Z0lhhld)ywLMKe)J#v={H+VDH@MT(a!DPEf?SzU7QopaqgOOnAj61gQ~nKE z8Pk4V%dtemLK9k;;m`w7V0%o7#vF~j5I54^hG%iX?O6mF{JtgYY7;()O%w#Mm z39;L@bB{H*)G~5O2iDYFFWZTx%-f3~jZPiMCP0pg>yOdHsX`|;H8o@GEAHoTGBl0@ z`Yaul4m%e3!Rm!VSTe4LMf;!dZv2K12gNH<6Z6^!Y9l%k}+kk14sA0+6RfT>r%YR>_#lE!p`j4rJJrnU5Vi78(&DxNl$NlaD4wMmL6rj7nX` z%p4{<2l~GZvJJPsT$>Y3T~I`GiT&=qJhSz?CAX|&_j-Oy9na+o$M+4}avYqkID=R0 z+U}KPWeFOW+Ny>fFtJz-rlcPSYN$r@#m%Q|O|6hd&GS#&fmhv|Sg}vfMTAf@%f3zi z1VedNTGd89EkDuLV`+FV-HBV@*1^c!p+LkJtSp)s8{hoDgkEU@wy=`_UrxfPTXhHY zK;JrpUhduL;CfE!))U%=W-o54M=;UuLXWXr3z-@yp*vp1U0GY|k6JY_>G{@|hFZ(C z{BjOa_!DQxK&daUno9DnAWCZ3>{@+a2K}V^a8V@ zrbbS3y4b#E{;mfY_m)Np6iDi>&Fi|lw+%kdDoB5{E&+t5^L+shC9Z@6ziNRi0*T9R z7-V1jdB|(t#H7~y_S&)0$}55p)89aQ>(JTMMFjs_tryZ&F z*#@&;Q|CiPyZ3C{*#$h7Z69T4+kebckX_bJlCa3E&fPk&bH1S!TW-^<$3zFc5g={! zRXwK8SA(i9HPiV58~-7YBD6t)O?(O98L8iyWE3648h}0c;`U8&$sK)6Jx~N3$=L8^ z-YFkQLCu7RGCtq;gjq~X43Skg$H&dhhQ;^o3pyp#$7&2cIRW5jbH%9{H{*vNrJ)?z z%}B0%nwz^Rq@BDlzt^KHLp_3S^cHvNBdFc<1+Rk6GH!T`r@UW|ZDV6Yf2fgeYgO<9 zC?oy3D(S_Ql>ye!VrW36K^-JB1EQamImQ;%tRL7mbxtZx&DaT@T4+>M)Zh;>v_(Y! zIP0aQrB!X0e*OT_0(NPP8GXN?ZBS@(f@3Mr^~DtnN+WEDV`gT%T$X}{r=$J$;-Kf| z3|BpMiowZpt-Jr`U9`yi_sh(giG9nCEitL~h^)9DpOp0aEERMLLNXl#lOm6bi&-#0 z$O)U+XS3N~W^5h<{9gl-o7>ylXJXoS9lllvj1Gg5);+O_e{!(d z6#O*9`&aOq&zCw(9PBD~sEz0~YzOmqpfSBbA(vRR?w{x)DaN|amd zD!f66Fre~0ZJZ0|$vm=5mYt0>wwoev_hway)PErb=JH>h z>YNV^wcob2-HwY31kh)JBqH!*hwKNQQsM<+yG$VUpz*O*BE!9iloakWM(n)22RQj| zeI47blXCibkahGPMMZ9OX9U9c;K76LqKnGJHmItq`X72JU3V4~(DJwU+i*zratnuA zgJME;h%l4e2DWYM--j#OVhJaKtOsFV-_ZDch!=MZ{LdW$0;%JN_U~uJyp8uvjT-j0 zZ5qHZ(OqVxI)KJwqr3Zvwo#%ImZryB)B$to=X{@@j`;J(`$qF8x~eJje~v)BjGavg zZlFQt*URK-+A`Hb7yXQ|2l^t-s10$csb>7Dhq%Y1Q>d?&yor^;e(bAu?oL;|wtg?0 zQWt-Wai&g&B=s{8jpcPLddl@{)~1)NE?-`nJ0%sEDb8D)3>L~9ssa6N#vIjuTj?md zl&=5EAC(-9iweKV!oyQwXf!oHPk`8&@W@d0eWH5twzE?c`>q7;FcF4?7ZsA_?{#_d$H2+yUX=zS99Ow8;HIfvx!&XIJHWH|b^>JIVY!d)7qv?|*E0NKw|doKfAG9M17*V%S<3w{KHC zbf~_qEy@cRJQayAg6>F82Ys-?LkV+n~`{jCk?MW)}?3LLS3!3SiTLt)|BC$aw>5z`t#Ua$nLtgO<(CX&*vO*7~RJ@uiX z(gl8m4v&k+=%EE?{a+d95l;Mq)THQm@5Zo_EenH;Mu3x9!0q87@hK_ogbX7{+DTKAt+9uL!XZ>AZf*_ut?@=<9z56yIikS-a6{tY~d6dIbEpCIo#mS<29cmIB_6pywA(|XEOMpfmu>eDo`DvaraYqi&Z ziv#&uIVumuxcs3*7I>qT=%zBWvUJg#6?hEYXbChAy_3Ousg9aVV&eh;q6*1K%72JC7y@Fv;! zYc^ttmUN#wwf6Aqyg5F<)E^^W6i%dt_JeuBCFHv^WM4N7vT<`V>QqGDxIy#Zp^n6f zgrzq;4gjgLRyJWWSdNuZ8>Cm>_#^o2`STKFu+;}1i;a!F5fk$`yHpH2@H1@$)H$BN zJg-LoMA5^@1=i*!9;-Tlfwym;YI58KzSn|mi&z{rvr3l%nJKJi>I}nF)u-5EXho3; zJpB(`H9jwoJ2^TQqh6q?=}q4}A8yfIBXaaC-lAOz~59Ll;n-$NWH=;NINUW1O zX7E2`A*d0MBE=5x#7T3q2t@P107`{lH!J9IrT4XKpD-ia4m@S+s!e07zB2uYU`cVp z+YXl#4$A}bg9?g@gyR${2BXJ+zq{qe`kdN!HT81eBps0@;_Xz&@*h-Aj-`eUP&0yw zhxnQbMHF@Ty-s&=L~1B8c4E$Y^!PFDFB#L%L(tn^T7GWOtdznSXT;{QdZ|cU>G0vL zfKa_%$NsfJsbsTRaVt&GO|mT z|J>~VkpVz>+Vmm;Z3Bqr=jZ=}MvG1Un2KO`vT|+ERAd#pH4uIL=QesykAG{PENUV=ds3q?0@Cm+ zk%?)YKFyRY>tx@5=@Xpk4a6ct*M~RWJI0GSP>rU`(Fk-k4$j&-qiPA+UO73npNLmp z`0{2O*Pm~g-Vk*6tVcDLV2^N6F8E758ZhEPHQ*jNMk2nU5`RA$fSJpMhdiNB0*{d4 z6(49lT<)ZlHawE`w1Gxl|B?3b-K>As*XgI8W5A&c%Y19u(f8yGWf8EhdI%tW=&cRn zCO&-%#-U+YolkUP7pr0PhaWUHCr22^5d*+bjGf~z?qdJ(V)#1>!t3tIJ-`+AQ~Oy8 z=GA9tHR|wIpGs$=qr_ix*5?{=oBlNnjB??xnZqRuiy&}2~2y_?Id}_89D)9oefgve}kmNgYG@zoSq#kx>O4IE!w%sJObE+O5rRK)p zhTg`OwM6S;0Bb;b_OX2W{J9hjzr4o`OJGIvBj7lt+O|`wXDf$cu1d|W;{Q-;r~dB` zs~UF29L_qm25SJFsb7QOfQ2kz$@i1n#Aw@_H?*kvFLizPhSrUard}=~OIPEz;8F1C zUVkO-)N-@G?4`C*VfoV+FJAQg`+k9_I^r|8A(OktkydS6||m7kEC)?@<_3vH9w#C@t^!_ z$D00O0M?&b!`H(2sJ@$(5Hi?8^#SO`GtI5-w$vSJV0#DRA;7=zT z8OeJKO%)$b%>w#63fU%UMQyi;2pt3#`VIy{@%-ZAvB_fW5Ts#w2it8`lOXcn$!9^( zLq7!P1Pf@7$B!Qqtui?|xeiEU=mQL=1r51lxMYa7mS7QpAgYQdsz26K&DH;eZ71*Z zbN9dy4o41#nM+PijA}GLtQGk9RCE@a#s9{Hv8_E*(|}V1=LM*Gz5P>Qa8udOBL+D} zqVN{Js0C&esU~! zr=if{V;uPZ_O1z*wkpfvPm$WSjZ8jjnRN31vbH1#Z-BVXn zBY4FOs%GUH{cgY|%zRi|+wO|(FScC$lbe2*L znK1bgpVa2IHm%Ft5>(EsJV$&vS65eSV;G>AFx$}&#QNmYQ}p;7zh7-G`adrz$uJ%! zxlS}tW=-j5DCB4yN8Mtu#bA->u|Dh(9m&>Sw0{P~RgMM+g3lH-HWo0q7AFX=-Y!QL#B0+LdCP4ldxX z+O7 zVTNu75*;(z{RbV~6(|hl53J_6xk1_p+^!oQ<_0wWnO6MBzvZ)8y}$p5hk;m`K~YiBEE(%0^zq|8hZ6^~yTb@{ z^Jmr6Qi5MB!~t2py7qK}Rh|~FTlwj|=B4_NRVIgUh?~@brSP$NVp72<25Img5b;}C zS%blfk?GK<;b6Xjv3S8`kE`Gt!_b?hs_M?Cr74fi&dyfi_lFR0)=7{XjKuF+V%f=AnLhAqo?t zGiP;W<;=sg?-!+@Sq6%ssjO~oUY5u$^?_@1%a$i`v6NpF3I(`rSTdyMK1sE3C`)`V zPM!@-IK?+5`NKl~GwqrF2GP6Ya(99ySZ_^tvtPZS7F=E2093)#-a%;39x@Ww!K>cP zopI`sMhO;e_nx{MtT2#RURP$4^>Zh;{PD7}Fg@V;W0Z%~oq3cVF6`}a01z7!kYG40 z4ur`TH-0D=!vl@rlI`e!LJ|_#4DyXsLvo+lJy7y__O^>{+ct`EC-c)PPDhDx4{GiS zz}AG@8lF=LwARFm1{%|hWOrirL8=8MI4ujyE?oM?KjkRwyW5VO z`S$*ewXX*d4+c?;De&Th2U)=xhlg&pNWRb8E`RCHl)%b^u9XPKhNev!qr4Q9rP{Cg zNja+aCUuzBOiLZ#vjR9l$e=G$;(v{UbUd!5)rgLAfe?qFWmH3pGd?}tii<};XMOzi z{d))f-QDa_{0S!sHnwkm6}^-0|Xdt-zM#%~zu3&L3|=|LKdQ z)nz&U43>&QvNBiX#$M)xOaI4j&~wN-H*(F_&DGbZDP+dEC$GTuYyCJ)J;r62TGHhX zcf1rYt*R4$#7KL06K^GJ%Sy8G%LGR67M^%H=aJ*eXj@J5#_VGk^Q-b~UilfiuG1O1 z%3~IT!f^JRXtE_sBAC2%sF)OfoKGkzhgfTQ6B!^A==3xX@8y^m8UXZUN7`M;QVhLj z|F={Ya!d-~^e0dNNTt(0ezxUgh3owM3<+bv)-;v5&r*d?og>(k`vp3}GbRh*?PeH# zv9bI`jNgqY6_cMdC9w3t2q7%z+C`9Wdec>6#2jyAlr&ynzE$OLEQr!jui}&iPxCig zXUW)PyeQ{x@q!~RH7}Dvksf+@X8iP9NK9?c3>#$z=&j;T}ap|QgXwt9l|ZF zZri*v3JN+$wGvadUKMi-rd&HXr;^rs?u<@w@_UJsdnhZ9ngPT22o!x_PNs7B2zSkD zTe%`6S!)*{<|(#pWh!+VX2+HvDtF>$7c&Y(rqLyw2CsoZLH~Vqe&h}P>({YGBfp8d zNAO~|pya+B-6mvw-Mm)f9_m`FSmoFFd$%1HS$cAll>D=7{I52Oe1rd6+Mv3hlpN(v03= zv%g!viPwFE)AIxKE~WI}GD5Lo{|N_&`*Q-lU}vy>|7_2Xqbj_Sk&)go`ic~UnG+_g zusplH+d~~;u=d{gTa|9WL7(S0J2OKAv@7Jd2jQZ!%CLQx9}e5Z!JLc>Pfqh7o3(BH z@MfFq#dMI(8)fTmezl0F)cjFJ7`1xq;w0L@E}L&LEL2vlGKu}a^h&>J2;{s_4oF^V zqDjq*LleIweY~ox1b&eJC5g(QMJGt2{e3^)CLeq@E1Yl=)u(y|*yd}?` zeX?T*>J=z%g2*U$)y<;+bQ1473}gd{zMq~x>z@W%&$B(luk`8WZ2?>;E&YT%}aXpdF z?toeC4RFIm_8S$YexNa_k#S*5PKU<%f-jKgD|s)Fz#AwOa7$01GbJmJilYB<9b@Q= zG?3dsELqsuTcTWxn6=4Vu3f9{38u!8b_Bf#Rkz6g{cPVV0J<8_`%15WuL&MDtgNpa zx{TZkX(ACx#dHcY{yVOa%6t0-Zr`wfGMg!4>11ro)#Y*pR{PRZ3$*-kZ>&&9njjq~ zd~_t2kI@*c?PF-6*B+<6fE9+(jvB;HujB-dhHT^Ug!|LyJ|66w%D8+LDN&RPrzf$e}hr=}t|7LkXcz zf>NCyXKoMxwM?KjQIE*H&phIBufHjo)zvxr+tk@Ng+)_5@$BPAAhO7HZfz317)m7- z07Rn;7ZCh8XjE#eTehwbd+IUpf&^&+_B9hlHs@R(dwxN|1R#0@W-uW6;Hl0qOl5@H z3cn;ZdO>uW<^bP^Ui#JO-U~Mw;$%>BC@w9PHon@j<@ynT1BW+(`(5ioSmhqXyW9X4 z*nn;v?W?P+s|s3H#621P1=4418LuxgSzrfQtk22I-|GEbq%yKw8YI)8+kCQb3kh1( zX0Qr4feE4m>Xgp_4q9+}`_%J71`!7Bg`w7NC#aYEcM?w&B`~)oUI>i0$4_8ukGWF5 zHMKk(uQayH?+&h^q3EYLvVLhN3yZnFL{@rw`euHYm>SLe=!+;q-H+J-jxt#GCK4zs zqV>+6-AwR(V|8$?R|m}43$Djv&?irt7Tv-?N#hMq&kWJyvHWW4>a&_nK%-|&UYEb)R}b$doftVRc)p+mKdgy|;> zrz5G~W(|yjWaWD$he0voBBNMC-)`$&4Wh&I*3aEj-nP7ExUI|=K`CWdo&QCiNj~D*S^=NJui}A2tlDE zcoAVSvF*P1a2L?ROB`Ftzvt(G)On>ooiif(EVLe532rqx$7FvGNW}g1tC(QRdZnd> za32K^z%Y*XTir@s%cCz(qkVi< zcj(~Yq)lY=$jC^}kw#;+ndB~p#d7DcFqnK1-MEf!JUgtxH^whCR14%Krst1Dt#}lMc5G=OMSb!kzu_^m7sIKCSzwG&xFvKH;;M$L;B!+uFxpp@=E=Z)TX7pLg!}*_1`kLv#+{ zxx%24WrqcLZ>n-Y;W>7bjuYy^eRIKiWPPyQXBAG^Q}5_Ky|s6|JG7>FWnn?Wdjohr zT2`h}&yi`O<>FZtfCA{k8iX@w6sfLEOB5=1 zzuNTA+lPg48O)ejdO2!d2umjsE>7zX`Edi$Js z9e3E;4}1+CepR_@T^1g?MH?u9bdF5Z5kq5R^`E)P7s>&y<5T@AepkMYVtT3+pj;nn#mgKj4_kNM9Tz?kvPIz3<-eYEUf2{Qx9#fn+nC&E zBiFonorTp7{kl`(ck@MJoWVX47vD3QIfbW``&y)qn3MiKJ*k;5qP0+cGo8G?=;?No zJ@4bxLQg~=(Ad1e@P7T;_3PX#Oj`o!0;F4ys_ZZRSmDA;aH4?2E$afwk`z2epl93t zhpC0`Mr8_zxVX5n=aaAFba&1_W-1&Ge_B@^A}O6lK38%~%H`YCH;2s4kA1gGRN|U= z+#eMbkJM85A7pOw>Xqf(V|UZ$T4>E&=|IZju3fv9UkX|L2uJ~#4D*W+0jM`u{E@@z z*#*b%O0_V&&pVRkTnhJ$O#TD}_GfMF6RM)j?G6!lya~EjDM>jBG6Lg=0crWoKD|&O zj^mJVUIL61FQh4|kRp(B_7=X??31==&{#>YGJ-UV0GgrdDTX0s?K&J%9`jT$9X9A~ zUL`|TosNS+v!=)=k@JFo%NGBqVq?BbjL?^dgB@=K%7dFzu)Jpm@;Ln0X7_&i^2HoV z{cB5eSVgGIBQO29;ipvxW@2t*Lj|J})(w%-NzmWUAFGcRzu>uY8$%`iU{K-uO$`B}_`8hO)}s;dE)_<1y>xz{P7+HL6i)U$cW+;x&*pRgW1u?-<1 z8fY$#P3{V%$a}Gsi_2ao<>ii%RTpCNmQf94o8c5EtHr2_lsx&O!Y9=g(PQ z43~yGU<>f^zkS|fZ^b5396aXwX;C4YQ5~+}9JJr?ho=$OQBVM?RMOV@bq(mwUjQeV z<_6tpKLMJDe074bFgZHr8}Mn$G6Ks+CF3$RfM494Gh1`o$9c8HPh3*+cJT_Jt6+t z-Hq>wBsLxj6;8id7TOq+sVap9_vl_i9^8NJx|O(H#L^ zr~@Mq_wZp1N|hiq1cXzitD4%IduO!vHkLv~Q);;dClwVEiGbvTSH;D|n$U?#f*c^k zEm#$}8HUnDJ&Har$Ts>qf4D{I&la=ap`6NHtSnDEoEXmN&z1iB_ixtE;pdBY8UvVQ z{~yNTGbUr5Tz&A>jVNtCeirbbC=6ddY72`A(2OvAWx)dnnE%&j!b(_>vBn65m^9~A zhTfVsTb-sJwBw9T42T6L-XqZfPodU?O5qch&cg5C$F5u{>EtW=!8O0$f?)F7ckYni zKSh;rk`lTLtU;xKjR!A7o}q^iVQEN-q97;tM&En|`u>2G`x|Fe>;vKGWXYMz0NZ-qTgH5|x4R6aR9 zZCKzJ%Hn^%rlyA5QybLIizy6tCG?gmR8iRef#)Q6chCXl}5eZT;4Tci(zo zI_O1&Ucp#cEVk`p@7MRwpO|06xG``)90?3BHZb`$0h7$R{@h7Br^x;5Gm);wumY`L zptJ@R_R7l-&D1`RKm_3UKQP7@GdwEsV`iQ_C`B?u;nE05dh`x?@SLVEll_hwCZh^m z8$N{=A*}8E^N%$38!pbyg-h?lI(>eAiR}3;j*HJi7uL<7p^bhy+SwV4lB}Qm7Xp(R zPiUEn^mn*T4?HcG^PB9{PFZKtd0#y!_5^Q{`=NpLwEjJG%e|!tD=u8w#Oy#r>SaA` zCD@m6oKJwAC0_fK;j@@oRk-X|ipafUo_S>-Tmrw1SDI20`&Q-@?_?~(ZSj~_4p7q6*4#7eRXeI0MK;jVnS zxH$m~}1YPU*cXN+cA9P+`tB#hL6|`3&#T{|oJDjxZ3rDtMNnnzZv2m}zB?HK^ z-K66<(T@B2DpmO`3E_}nE-5a?KLuyW8^FXTOiXrGLB{|k3LlR`PFq7uOE^aEIH;@Q zo0^+%%NOX6STqEZ!ZSx$&L%8=1$2VJ^Pgy0V zI`}`IIpKS>jF!Z@ZCjQUFH95ZT_0Wr1gxzBpH2{)4M+r~)u)t(W6bpO6Ft|l`=pgx z41ezR?l`SzVbq>Joh&_ju`LT0%oi@$*Mo;JOlNMw_#F?BjxPJ0nb~PLtlwU@$tV+# zdgk9(HNw*KPi(t6 z5n!;%2-E)kQUV`uTlB$4$vtHm) zZhTyviZV47l^O(Wl+(S`az+m!L<0qW3yow3G>paN<>AM7f3l;rO;+K~R0uv&eEJWW z=NCK6Qf62RPboWS9``r=o0t~DT^Tpzm4P=^J5J1vbFhUZq6tNDVVMBF?0 z=XdunLPG$EsqY7Dgj69lC0&i$St1{V9sS+i+)CT)MKi-1aFLMMkbf1|PB5yP4z8r? zGWnr{zZVyCW%tKIj*~SEQ{D0+Vr%PV8>ikkHy`chQ9;YV_=zCu(DRsGx5%BBd<&!A zRLs{YOVAp|#!~q%rp{xQ9ojI;63J7r*C})Y5Wp(b{r(Dt8#&{8F8&M&ycJ!~lRFSI zfwwAK{n5>0IAtp7H&{gx2gWPYg3jh0b2(qZeE&a`xKoYeHGtsxI%at%K_^&PS^}|c zbgB&{7paXBC^joile%Pp(N|Y-8v||$Yt#vtOi3~&zUbl z&7ZEq8qXi`+Eq6pl0ze0=#nCKXY{H;K}k!tpzM2(hLc~JlB{QMZRmN)M~W@nsIA{~ zCz4gT`-DD6RFl(U(DCnFVq`@m(yh2#dcx@Ea@frEcrkp{;o|cpQ=D^o$LtQ2uyq&E$iqGg$q^-V~k*;NAiN%rp98RswlG>i#0Sil$ zUG!Nelfg$5%FT2nHFQhoV>i76X^y^MY?!*Y{WwB7gF-8(`)RJdFevJvUfQT5Ki-$ur`mC&l2fjqbC24N`TvJ52^T>e-pDcjE3mw8DQW51rB-#F!DIu ztAvS@aUB;ILWwd#i28poYtIu>CWv2s5eAThE6md)r$CMnvW9p&9Kp@Vijna7X?5+^ zq^#WUU2W^F&Q$l`-rDE74wxzm5vG^W3lZWT(71ewZS@iixYJ1F+*88x0_VsZm6=Bu z0|<4W`yn(fgi{R%HQ08BMrbnF;rmxVe*8wyTG#&RpO5GPgbIDt!fNxeW9>6&AJ|bi zdn8?I4=+-$L<|cV!Yv>P9sm3}1k@feGSwEFL^xP8YQ3!u*xXnifw24*uW}162OOWD zXF_8aZUMp|f>`Io(Xg_N&ZW|Cz5GpObLpWNO?93Z=*4#7e3w1%QWcvP+TwC=+ue>D zNwT2F;~Nezy27tmw{A|h@YchbfxFM0(-uBA9nGdgc z&+b@%BbYB(p-Ynaki~URB8ao|PaVf;otgb7c91%Yk6zbr6wBU`eK2N%>H3JO(91oE zx9QoGbjgZzgX6#KASFG@DK05dMS6=4Ib$Io5A$sb(t`DaI#Q*k*~H?Q&<5GFw?;XR zL1Ay%XI#$G$5?mf2a11ph zlr(B>=VKOmuvdXe`yZp2yE$ig=LyJHZ(?D6!u*cTxD})z|cAikAUORfJ3RSZw@omNpw=_xI>H3n-Fq&470ea)AH@zeZ;3ob1{Nx zBdJtK65&y#I(U9YZ~P>*$)tspDOx&y?VO@N=3g;PRjxwRaO$6^tuz;fef&@Icgii8BNm|I0vC6wvqk@hIb}-h&UYIzpH6@ z#m@^|J$)Jri=(;2@oCHq2Ck7D*}cQ3hZMGPap5ko7c620AtMs`<@Y!Eo5JiEM%=9G z2Sx!AH$nCqjK4^T=y2g2h%_liZb$(jRn`&RU1j3TH}s*}Q*>p)fx)DMo*joa?B1Cl z0?-3eG)frZer3<(W={b-hHq-7H23VYTq$eOe~sH+i3)njPG@cu5OYP_STA5q2-gMn zP%4Rj8+dh@X=*Ooe`m`ltFT9FvwpmFo@&2w-cv9+h-16sZi7=rP}sN}be42F4Yz!? zjkC!M_i3ggx5D(zfNHn7^y$##+bm1|40T&H2xE;XyH#>Fg?tBRbcsXY`Cr<) z7wr8R-v+8`Rf*m+_`_nlJ@s`2mzMOq+ozuCFrG}_jPj<%<|Ytee23E47S1?9BykZC z5lly1c^?S;cF1ZBH*DlQUqUmO1xYH*9S6rNJ6^wL`Rk=d?bS!oO`C)JQWPQN{cn9k zC=`i%ke~(PT=0EPC;|X%6XHO^M2z!X10g0T+Kzhb$@B#VqDe>4c!R5@KlErzjs9=O z(WrOX{AoGexIB!3TQ=HxLmD0cMEH`C9`q{7c^}YC36s|rAu8{G{DIw@zfCtQZec%0 zx!DfEJAKXB{u?X38jbTvWe~FE)1e~7(hr4C^NdeW&6}K8^AN5*`3a>)GOh9IOcrox zmk0Ad>&l&mbAH+&`O4`DPStwQYNN?Z3!5@`+uGwC=sY0QiyEDre_+(XN1T$>hF^D) z{JJsux)_A zeE{Kls6OqnC6*non>D=KNXwr8{)J{%J*JycqxcFO!~JKkLi>w}H44&T5uM9>-{VMW zB23fQk%;Nz63SHfN|2Yxdih|CEru8j7)1pzt7r{qE~Ae=Gt59AqZtAQ6&XVoFdQv! zKnp+Pg9HQ`{>;|JXN4j6GJ)nHuwwk9*74)x37@gnyFoDO7Z|faZ>C>KH#66O4q>M3 zC2cuED)Ou$2GBBS|3NbivZ^6-ZCw_#LNu~eEb$%t&r4JkxISFns@875 zF2P_~-Z^t2cH~vSm@V()q9CuS_8mPwqGtfxN2EHG89(qQ8BeY5!bPQd>7H{A&Oh##ABHk#|xrJVpm zgy^Np@p?8E4t91lp>5-US5=TDtEgCBjfjD5dEbr0X|{t5mF}-nkQuiwsDB zeq&~SlFX%J@Hyz71Wwzha_h(_^~}lYV7W4Wva}0GW!VsNP}tXGoY2`|4ktTb=)%k2 z;xjqo*_26~Shh z^8+~iE8Xfgdgwg=0OBNiGZawUGGl@|M=seP*yu7~yM|^Qw(AYky(_QiCZAoy+$wrF z4GOXuCM4GoiYSMY8Xp5Ai{|wZFql1*JdF~?6&0-*zZq)_z&>)JkL*A74p|exgd6{_ zv1CWgMST>X%QHAx{h#8ivgIE zE6X#w^6-Da80n&agtUMgD|?m@+aYb=f5ZQbP(0zMI_=#oW=t}NMP%6*9tV7#C$q>) zv!PU9L&pdO$CI5AF!U3drZWHTo_w5xOqH%j*D$QxXh)99ZtP!0v>I)fuNS^C(p^Q* zaZeC|OGK<&gNVwL2_bZkP@#RUmTNvIM0IaawJ`fKy3cek6G`JgCNtMr347)KV}fhM#!T5*h!OlblFno?k_Llm3ii#mza%F;k?-%vN zTVN~b+^o23+a&I?@1<4Pq`DGt_PDR}4`${2@jYJ6>4^>8hqs#vhjQ)H;MjDs%0!uA zzh!L#MJ)iEOVvQ_~ zb~qJCFqfR<8Y#DUI-jf#3kvkWN6$}0h7Bpzp1CQrMp)6nP@)>&f^LNf8YeQJ22RC- zIU!UKxDNAc_K6)CCiWDD7Y=|6!4|bSBr;$xgK4PAo$pfTYA~CD(c%U_Qd2JfVwfq_ zise=A+*Y0(3~3i=B_bwMEmyw*UQ;NN8*!8p7EMTHCot?ODRBBhsWFb0xVHHMtV-h; zsqw+)P+}3zZzvpyAscSIBxRAy_~iOR3|Y zI?QHW`Fb>6Y04358H9;dx5~{rWZGnOAUc|X$R0$uo^6Lw=Lq2d$ML;`As_r0!J`Vd za-jQY0KkX&3&)}D`Qi_uCWHna!c02@!Sj$tfXqSR-&|@3GGmN^FB_nF!WO79-*$ zh!8m&4lljjewDyx1^y7>(U zvjaA&ZFH$du)k52l#~!@s;GZW+d_%n{<78D>h`(#xAqnVMKO0kNr2T2P2L1jk%1;r z$=S{QgE0QUDeIUN6kZ{TzmjDvj7~T6>jC=mTL%iLB5>YAy0)clLV0tQ8R)r>ot4~= z?Q~)FYGVi)hkRV->&_$x|NM(DVf9cNodI?pKRcnv5LvJnFYVDZfqB4jkJxc4w1OYb z+>^m=(#$`6WO}BUz6Jh|Im$_H(8Y`nMzDeO((v775&eo;Y{wgg;_ehIEznZ zTIevZy;VBRd*STlS88#A^)xLUvfYyxZUmUp5YsG-&&0u&!C8IPh@4SD^l3&_{>>cu zc8eQMJl-cn_&7GBd5GK^;M2BMH{R!1PC!ry;R3wS7FgaS591%`?1;Vtp_1LWNyB4) zWCsj%8sG=uL(jGO3qNP{ul?ZtH8&q_Se$Y&0un>SZ>d^CSypILCBXR$_%3vBL{37n z1;wRHm%2;s&Q{jcM2RzpTb#;vhnIM$)Nb2uy@zpL@gh4YH5hp#ogGJ^*f^tphegfq z(wvq^5J^7oMDsh$(WmKpfSeF!hlL9UM@D~hgNe*+xU#=OEH`TH53*NsEggY#5>YMQ zKcTJv`7^!8)|*L9yJJt)zYwF-;~1iz_s_BiCwa2JQ#i(es6Uu_Byb-HBnJ>Pk>Dcf ze|r$=ZKy1w=dKlWQ|#MIH1NW7&>LoHG72P|jMU5B9TXI_TR{gvWoz79|JHZ__zZ{G@_ zAPAti2qFUGNRdGS7reRrp)AjkjncD-Btovc$lc#dx=~bgzy}OEaY^gq(h~90L+{`B zc)iO%Z>eL0c7kg0%K8TshubjK5I566yRD6p&u=hYmE!sAzwr>}*B}iUUSR^I2sEn*ucw&fk;DYadysQ4#MmE zXc1DP5n6HwZBXA=^aml{#A8e&E)Rn(>!ukY2?@Ow8!Nl|fW`lC_c3GwyhjRkuGx#~ zoNH4*ew=~2Mcilupa6&IMSy<}(lOb+DXFQap@6ZL-3SaMnFUOHQZfoo5#3D8bj6r|)^E)2S{3P$%>Sze zaC3K`^-K^sN5fB)OSdntxBkSA-inFJOqpxjw#K{zj;qkf9z?E4R3C!A=&z+&aFPf1 z=b!Jhy0{L#N{!?hsR2{?yVYp;u^7sQV|y=QV3tmWQep>V z;=_m9*iW}r)eIz@UfX0-{4lC7<)^r>(8Qb&dDyCUS(0=mjAxZ*mlbQ@4UL1UR6iop zsmN5ouJ1n?fKZ;?|HIdJhxOd|eg6{e5)ElcMTJVGsWb^ulB6Xm+G!#q(v%j8mbOwF znuMf1G_P?>3Myw>%NcYc>a0rSS-BOVLVYGWJRu}#7J3by?jEl7^-VN`ct;Dg!srjC}AC$o^!o? zSp=*99F`^_a(}%|xX|lX_CV)vkZBz_KFjHNv9Jn9U4vh=mvqjEyQU!C|wEzjxe^=!H)1% zyXzX0Tq~abBXiIhCc9#!XWx`OZ2H<&Jf@SkNk)-Q6wxPdzWf7Qv{3)%@J;4#!UJ8l zGUp(|NsB#%S|S(&Vdk`BQQI63$lJd)d-nhsOMKLmshwe0oU_(%NaJ9d_5<5}66>j+Ng4HC zc&Tw<<)6kGg~oV~xV_-o)(y|h%}M`#MklaMTDm>u-|5?qv! z@f%>Zu2e(PFsjpDHYhxNG*oD6gmcrU!#8kNitnV&Rr?90)FOG#| zo!dOMZDyho+TKI37H4);@f|awdY1VsT|e^>R`r3KM}Xjb7x{P-p5L4*GZ*;+%IPx_ zh9$2NSeAMv@7#4V(?g(o?nb(XKf_mKyl%&<+>reOJU?eK)eqI-e~d?J#b^U>u04pF zXtd^JtYYxL03+k(Yt?Gm-j^}fdo6|DPwANC>kvDg-g4hV<*lCQ?y|1$iRjHZWM6*E zz=wJF8;Lxjvqz~5f`rCSV>4}(e60OoC(az>$Urazv6QVqw9fDR6nbfD|0ShMf>^w3 zDKD@8am#Eprb9E9>U99+O#|eHgek_e5g{O=9frO*eE=*e+Tk4MYnZhiz0-E@3&ZIs zZ?-8bKLQvP+`WpTilOCXBQ?HG>D+zoG@rN5&ahzau!^eZOj1Kh2~UmM_`1?hvbGi$ zNe#{qBO_VCUU2`@SzGGI+WxpfHO_Krh5B0m`}fnKWwUSn+=Qke)FJ~2Q1yz$svbdw z0XCrr0@-WL+b#V$3?o^VguBAR_DaZU(4nL7opOw?Vgf{sGZz8S)Y!vt?jAmTSXs9T zU0mv?2O3+h^T3UoV+i;y7}3PUGA<=0g|5Q;z!g{((YQA`BJW$cp8x6e;|AWH1{vPi z!_yG^Zh)Ha z>LVm15WbCcGmu{2Lm9B=gyl=uM(KDzR>*21{*eqnr0!F2TejL41In$$Z9{~{Uq?rI zW}cVr&cFdl(0rJ-1c90Y=fIz9wUt3AY$a&lOrZxzyCYfPG_Hrz+TF6ArP;lJ4KQU$ z#dT;c5;6u6&4k;%^u`J|E}s^W65&p02sVb0xEJLu8r?Fh|GdfqzoS|BQViK6nx74D zM8v%UOZ` zL_SZ9sp6B+VZ>e!{Mp@7X{1P!5uxH3ZL@Y6eF(9ua&9SJ9re3tJp1-*Kr@l?KG+on zd&Lk)hS9Xqj$^86qX=6N?x<={qOjJi$iqB^pYp(bJ-5uEyu@>>_YAXS`x4nSn%Xm{ zUX?wPts+&YQv_@tG`bH^@y^VBJ96B0B7D7>u4T+o;a7=+&ogm~;^@Gs#L(Rbk=R^& z@|nPrZ^v^?WYs4)lBI%ks&L`ZSQ(;R$+-!A&G2zKmr*fvq$Nl$!Q&uO!>g;HbN49P zw1uM*+6*=rID13M^!Aw)w<9Hw%T?f2fnsb3QZ4sl@_AFgD&4$%BPH8JIQxN`i0!M(iDkMqtsPL*)L9 zp`!TafC|8b#03NyJL*J|yh7%-;ETem>x~L7!o&7FJqi<&^xa;M;f-8xm**H!7)!Yh z?ML}_7Wog@w)`+*9o~^%_Gg5r$l=3}oX2f<<_>szmbB#`%IXpn6AO8M50UO|(!0C> zLufx>9O2_&QIOe)^>-!BOS&9+1SKWH(`O0X#hTh zbOIP{8JjeGKmuiA7{HjgZ`a>9Hm354IDI5dKXn#(oHV*! z?ryNFYJG1p`B3Gun_J2#TB-sC=k!Z^f9eD@3hHXm5vx$>2i}v-kvmS<_MnpIQ69Bt z??xUv_G7QD8A{YA-;n_;-gc!u@E^-72(b=3B^T(9VwHKuZZ^|#mB97(KAT?aQd$24 znrB=9*~#s>^adHs)Xfqa+NaJmr{x!Y?>4%be8w5gqm_kuU3w-2D9ZLv0P@q>GhMBXE{}g- zH~MLH(_#B$kExzENAh1HwS1!(PjK`4u?D}Z;KKP{f9)plIiH{Y>rTC1z%bz4Q`a3@itn)~Jf}dvzYdOtX^y=c#a_+;v zH~s{T+m!r#$n)&3>;NkKD}z93c0}v`dU?0|Zobr!jD*Q>7rM%S?Gg4A;q=WsqZ0#lfEq#cxgocwlyvMF3mH;th7jB?+g2`p;6GsfM&Wj zPXJBbqgIBYE+MTZk*-q{A@LN%VYT*b8KFdXp2a@3i8$Ssc!SR71b%+f1X03Ej zD7TMl_~sVEC6$t0XeeR(`IRhk)Q@A-7y1=TT=70E()iXlFbILNx49CVz*iDJf|OBO z7TzT84h@Sp0);Fz7}UE7DCD$GAvL83H0e&mY}p`xIBnBg6W6cKZJ0War%6O-7n#otpOt&%p^hq@!o2{Y4ZDW6_n z4*xOdzG2H2l9E%Quuv>d`Oh>fgqNF~!jy>`7@CKJOpmId5)T5J)#h;G>}XSrFRX&p zt;RCZ9k(s!tGn*VJ>(Z~V!zM_mQKdjA)E6K5G@?cqdU|?V z^UK+x*L4A1L6iW$r~8Q+^1ri-g206mK$}K)1UzeX;a#b9s1)Htxx>Kd{c8}8DjA;V zU>7kfWIy%?4$~%k_wJ12RTH+~_h|u)06GgqWc%1m45O75&rG}4%=NCr&NN^#PffMfAI*2YqYDG9vHP+x8B^?WJs6*7|Eu;c;cTd|=r1uMr@zW;4k_f=|WK(Xka4p#&Fs1qH5sR~M2#;8si- z9XYCl$ThSBTF-oad@QW2sG-jRA$~<_Q(IeGib%&aH^M9NnQ4bs76}dy|^Ri{L;R6fBG86h%NyN3~y)aW$?Wfk^m+NEflV;mfA-0dBH4`;$rtQ z+JsD(4|R2cHr-;8;kb#0aa)&4VqdF+8ymj}SOYr513CpC*G-T(Z{*omxqr4UA~Kx{4bN zv)FQHTydzSEm`9b%h+T`fvT&_!pj)?jp;W~`bDShvC`3Me5%T?;F2`30&<(X^9)F7 zAkCp7Oh{*yVZ9WS%E;RB-eppJQ15h}Q;ezePyeOb@@{$jF`T$$?z76Z2&v#Sj8fRC zfeR(y=KU7pNvC*2FfN232xQ?6{A3>aSByzXSip9?U^=87I2~9p@c@Axj|M7!QZV4b z59$vdUYJc)B$ejO_1See#RBoxh4$=; zsBLyKwcIM#3=2UzPm!fx2aW{%BSIMfw6~MHAn0RQcjq$rI9lF)S0jHtt0nW-Uj4Yr zws!4WF2`yH{7kLR-;g{JSHg+jwF0R9F_|s+*QzraFa^B7_HjrHyg&dJtm`fy&#k() zHU%Cs>$j6g!9=6R@VtWv$z9I;mOoN0U|XDh=VPi>t5Eok8!aSmE)Kp`c3o~EHYc_ps=23g$ zY0*z5_F>3Ee7g}~Rg6(k)9bUrX;(T)$P>43?+k`}A-i&MKh6Xt8yfcG#r7vDujb@W zoxvxBP2aXC@!a2ohPLLMD^~!YG0RMs5abo|4S&dTTCb6To;=W*D1>SWq1m%PmJfN` z{jpFsujqDe%f?eTn=GdbAC+rZaVD`TV^w3`O#Q%_N%uRL^V2mYyo0jSY!|i{kndw# zA4NsgWlcI$JH8gX#n~5hVOZ*s9o;dmXPTDf6t3#dnj`wRP3y}Q?=w(R9t0qrY5eBN z)a6CquCIwDH_0###3@WgTQfnGR1FGh%sNQ%?5>&cawRxpaEfUH&2b*i7bBt%_?_By z@-bfw14B4)%Su(@7~6mC<#qkCh&EGe z)|7Yb@kZG;Pt$>h44;CQ0!7R2lHp9%D+Bh;LATPlIchC*9k2}>PA@_qd(41$>EfJM z1$x#t$hH!MMBVd>mbHW1i%gGXNFJrXZxn4R2Hs%+$l?JY!x?+FovUwAZVxyC zb}f#jhG%$Vv=tj%)5y(GgW8R1Ikkek&ca?@FnUDH)25P&I@ag6afLBj1@cTGqr&yh zf*b}M3kQ&GA&FU$J-xkiUjV7GB6v*W86f$vE&J@BmjT2@T34*igLZhgD)LZ21%U8I zG2O5ifJg-!Z>+CL&htYKX<|$6h;TvCZGo!?884EJ_XKN@{W7jNE6S`RasxcsD;C4J4xozAs-L~G)+k_C^W zU6NvM*LZ9!UfrY8Xx(F?m&1vX>E@HhnGKi7K@3gBnI1rL=2dTg5#wN+T%7e?uTl=t zHqpzGW@c>^c##zO^botdY#PWp3BY^&pK(+)v0g}^&A{Tvp-lb}8F+wEdmzWF@pW}B zEYYWFik+rU>KjuyLB}@XNT5pQN6*0>=nd9wNLR5pKjd)K)&}y-oyKb(E%tU zUR?Ox3emOx8|1Zk2FqN}I++y!XfNjRfv1q4+cLXA90OQL02&(GXsG7y+zID<+td{Y zg!?R>p0IcX4HMVai8veq2uUuLs@De~N8T@qf7FiLQ$15DI-{+(**IN+Kj~-n>anxmXmPOzvn|5JFRhxU;+eudXECs18>+ zjyYxVjNj{+s`R)S9%!GpFmL2oyP4;D|E3Np_lVoS1>!9yKlknbuUJKV&3D%rluIyy*FZTkixE<@mB1b8unFWcLfz1#Chip60~1tCv0 zPI5$HmG_Aa&Yj_zv?;NU1r8;=8eevozty$51rl_;Buy}3SQ`Pv^#X+!ncxEr0m2QNZ3CJ2j=XG zqbo`)RndA^aRosT;sf*s{i$`gBYtAULSKb0LAB7{C&uH)nay78_o99 zU$}YZp-H1*=}pm}N7JAf21fBXFw@4_4f+O-)h&_MvsI@>p-;VYHPFG@F*gxve3Gq* z#0w(ag^HoNuI@xj71A_NV(Mkn-1h<`OHm0_d;fmuf7itn48tP@P$q+TEL_OxQo&4j^8^wI##TgE zV-u9BK!G>v`C*-p5Y>`l0O;?0{%pAV0(Stk_%g4P;xG{c!ZD1QuW)kM`QV+{LB3!F zHxqRTLoj4Chx`W}S5+~(H?{H{=wA$zpoa$9pl4)iiUhnC#;Kc~FxQ|XJT^W$5rZS4 z;xYYR(^@kdYr?W!FLZhh2?`>3WMVkI9__ovIX+H9w=v^?wE*Lkf0=vC#4k&Q9V)r2 zokq+*fWh3{+&ts1rt{t(uY%qQt(nh?;_rmJ9VtM5XP2a3{0c=jLh3-EpPgo&WGtrH31p$SkkPa>ok~wTp+6*a|jx%#4yr zHV8-amggOyJ>8r8^vr|v4|n7)^EvaR@7!j=%Eo3jD{Kn1rg&fp2Ottq!oV1yW+PT| zpHHt~5+q3mcs2-4T(@b{CK5M~)(?!8*oj?<08J)r-DihtQgS@7_Q_!Z6{r<7G~cwv zYZxk#Yey12xA3bHeh?t<5Oh=)T(v2RXRnYPU<7t~>u2sq?SnyL+k5zxuP)HRQ%Q%s^uh9%+epIL^Byx}MnrU1|f*p@5F-K&$fRseKUg%-0GKv=W1YNmm6Yi&%p_ z3;Lt1M^kT^9$9zLpT2AKX;I=XED?4n)Y%J(I@QKrr$U3^5kd3Jlp z+A~r*`M2%-yN;Ur?O`5VZ*wl0OR4^JlgO#NEb){^D!0zSu%)knzGdRJbaTJk^q_5M zS|(m^-$CQP4R3_Emt<=PuF;p#evW4<>NRTfZ^+fzQ(%V3Rn=19Kk)J6Ei^B2U02-|&`dJS zy3(TBxDk|>$;*?^%=t*|fb^9-%tJs0y9N8V26sLge1P2t>pBg`E<-YX&IRf?x5E)Q zzGo;ndsx##pM^tul#Ffe+|2LGF|A4`KvGR^2vC+M21kmBLG+KUam0xeqTx$R61`5wWNsfB^URV_Qn~HO zyZ|ROUzORjW;yECNgjDq*u>*w{wQq~$1F`X3oDl$zHvr`(VA=oLCQ-VV zfBwwpt?L`q^{Lg_fw(21pr#u0qx^r2lNyLkqZ(VQx72H87WNUp2D0B=EeBiMjD|cj zxU}ylkO{bCobN@CQy6ac#Y*;{ai~oB^_ZiN6z&Ct1_$pEW$TvOWKkCH_Lte~#z~4Y zRY6wPB+tsOe1hyvU&YA-T$xxro3fli)=0AYX>Z%OB{7$E@1?2RAZ|OBvh+krAPRwy z(-Rrpzju825OuJMm7RSpTv8sB-8y%NuR<~!jUw}@LFO9F00p=JNOTA>9|l{mNqM{t{ZUfz2ukFUxrC>@r59$-YGUZ^_z{IXrMT&Oy{#_TYH{1SWAVRZVcOFlBK&^ z&T}MMZNbLAijl>_!uH37^_yd>I3i-S7Gv$gxLwMHz78ne_YSQ8qjcf)TXzIp7mgp+ z)?P#L+{0n9UXe@E^Krw0(s$BXOzu6V%XId($&1%wzWga!L}v z1MxUW_5p+!5oIk(xd7k`7=MF=d`>b3>={d*RW4WVW&C?-OCIu;1gxNl$}=wj&me6q zra}@@3Yul&A_72c0rr$U*Rs`r*ANm(kQ*{b?c2;3$VXp7z(N`|$a)jfKzSX2;RViQ zm+|)P_+eWy)dike4G4M>kai`m9Q6Zw7TLqYXKPkzkUB_*Cya}z_ZOy20SZ|TJ7Im` zr4On83`?oVn75=8O<;$1q}>rhfPO9Ja2!FF!#0gbVc2rn?g!cpV40e4oB%VA>0kah6x0lE_(AS|^exZEjh1rPji1Z|0DCff z#nTggA#a5OHvIVK*YeDa-Y~y!_Uo`OuKxHjCg3FsDX-d`Rm*Vv{+MiBXb-z}2;H#y z2SS!`C;`L+u$`}2yvV2VoH3`XEdZtm{6X;NsdlR00pMdKSA2S*KK z;pJ)bi1EMh>@ZCvgOL3|keyi&tG1W;N{r0U*q2w$flB<9NSDo9kKwup6&7ep!JI|Mby)%!eRwGQp zm*RYBsfP)q;!DUf*lCHkKw(9iJ)YaTVaRYxR|VNGEHBQ=gn(%2JLb091<%X6s=W7@ z5VJNBAmgJb)inLXU}6Qho|lwF6Mig@gl2f=o(a?`o`)SLO7q2@Zt)I@Q?%sQfl+*(zf&;8#L+xt}yqq2&^_4LxO$ux$}x*BWS2YRX;u! z)>(W>#hO^v5oI|sT#j}NQsR;Ul4Z&L8_Ck@=z^HS0A6m)+^@mARU|Hk1K@xjlShDss}_57Ul~s9m~y&pDd&9Q*JQ%H7>>m)oaQ5&kDksrN|VG3$MQBw5-@ zQ%4?5d6D@5$F22Kh zdaOF~Rg%@8KgUB%8$tdbs`dE^Js8>)fs`ITbZ9GS>3$mlFQ45K=x|=x8^tB!xo{{J_5q} zN=?J@HNDr^Fmg{eJ2UZ&DIEkSB`R{^|C%W6!!o<OVAbVC5Xe~J zUx*pe!u6T82IiQ?Y<6p9D$ zM@G_9;$M0~mGi9eCmm3b&)4#gD1P$uj=i$i@dP^#N!>o6{2y7=QRs;P_&i0mcB$2w@%V z2kVdUR^_dBaAEu@?x%ALFQH66c8!C$VuL}W^wQ7?AS6uIIHpeIgt**Vbqkr8(krbnu4u75ve?9)jOBZl}`kH#D}Tqns1v& zpYvU685$f^pH@^*Xq~AY5fl4Po#fD;KC%yDq0xP~EN+K~Z&EHPQp4IrP^^>!44BDn z_Gf7~w+L|5&9ZCP&vJA`+J81-*u0IavQzW2XDX|Gw!n+6E2i_Om~>cqgcC~l@0^3j zt;m~4`mof)O<(*NoVCtG=89L(`Iv6qI`+OZK!|;jI@6Q+bUY%wfzyTAY6}_$7lI`! zL0%Hc;Rmyx45*PjE)vIy%&D``>-8W>2^6Fs$W>-!ey9T$C(tt#aRP8H=#RP7`9r8& zaZ|)&%pt#U+=}nU28}!%_++vZwlo>G4hO|;G6fM|l#G8Fd7l`LS#Qf2uI-^xrT;XK zU6F8-NOXMR1SFY2a#&?G(A`KvC-)!E$hz*i?fdq9c3gfO62BJsc5KTmuHOs&WuXv* zabLt|&`2&vKBp_>Vz1;pkJL;Rd|{5U*Qjx$sL6^*s#g1XJT{Ad?$=U0W)6EPn3;-Pn%y_Et>q z5oKq17sxbLA`%}TzhjgqDb53|3oDM{A^NeN1J9+%(6t3+aP%0-*mZ69ua7NEd_a`-fB)_T0?fPohnsh5;U994s59l~% za?#QdYz?=e_gOAfD`0<#H43>GrRx+=ML+BBro>Z=yE`?bBxCURF=w2ex&$VQp{(R$ zbTGX4lver&a0ly*7}J3Y9-)6>lvl)rtt@-d=}YO$v1vs4V@?pU9wL7c9TQ?fl4<)c zfJLdic5L-6L6%fZ5hs@vQHI2cc6R|0du$n>>6l58kD-roN8V|X4+hA#<={o!6&u*u z{Xjh}eDB-DvC|-F1=UmHt@5{Gyc|HYLlgQwexw?BaSWjQ(xcad*4c??{mm$(*1jsy z`7nTmPdjl^$#)klN-l=y8=|*&UMgAh4p7Ov;tP%~m1#fDuCiVJQuWKm`^TAwU8M)b zdS(mOnoMomVL=J8;ZE5ZnSMrwnnq1EU5>kI-MDDAF__KLR~Af;s>`(c0={dLL)HiE z`8gQGP?FkGnc_29FOoJ-J!23T{){nqYcPANta9r*^To(ECz&$>s|prHYo}DpFv|@5 zaUjqtvb*pNs}P7$IUHwAbRtY!l)2E}9|T5Ba*{}UidvT9`Ey8T5W$exq$I-u25S;p zf;mOx>A<%%Tz^kU;pRVOvgL6dC!^OCm5`{#fgp)^L%fi-O9l_eEi2ly>FA$?-qKlr znR?U-5|bIZL#e5$WHkg2<0}8=)a14D^Mmzh+^P<%TgczHA=vl`l!aD_Otk^B+WlJh zK8G{ae~HIg^KxWJqQ7D@E19$+I@nhivy!|qgNPBxS&FjXtJkjytN?gb>|`untb}Ni z=#jePP|PJ)?C(G?2kblLOH{)-#D&&?wAgQ_bM?vxCJKgCHP;H(_AkNliDmg5%A_08x0nPVu8GB|O7!YX7WWnGhi(tg))xlj6co)^xP!BMR4|nJ z?dm@zd_EerQOd5ZTPZkgQrc@re7nA&TdG86qvzQYA1O*{5k6NkSRF1H^)UtRR;NL{ zcV%B6##kbd?U<&jii)|5lrw`_@(+}RB!36kz6A={=sh-JW1&=>V*N6~Se(Sdc0)I- zO9NBsFf@(gjeD2SlQ_M_nIquchjxv^I&G$d?YRcBJ9*>jml#ney~1z#rnC^ZbCORB zRtn(_eH&jp(JyT3TWaYi>?2@&pzZi5KW6aRmf!@qoxmT$Ez1CL)Il6cB&7%|%@TcZX@M$u&YY}= zLprOpFPsY8Io+?JoUQ*INoeoCN<4@F?Xqw4hXZV`?m+rXzT{(Mtg ztJu?}o~j3#P8>bj_||XIzC-zsnXTH4X~T)8`qzF;P8&=rnG>ZD6I|rSgFn~wR@QT6 zd6`hzCeaOH$Dz>BLNQ1%A1tGJ&-Bm=BnR|+{pKUBEsh^DYMN5+@D`hkgXE()aMbvN zJS{R2FI%2F0(lI{ut)Yr#r^F^fUD9X&I|g3a>&{sfhQ7gB2DT$ZS148n=gSL0uX1CdD9NiYQJtzpKxQQnkQ&KeSrrT;o<=7c_Zr!O) z#i4#D@_gU&zaHlc)|YH9+fbR_D1E=@{hrtEqhFL>^t->m60T~q{DK|+8X-oD&P-ty!#Z*MF@ zK}+aIMZ-(0JP9x`VO3;<2O5fkJ$ki4Az zQhJ3%5f>B`%;17laToYBU;hN&9yDx(yFvL!eldzal9+-vjoyp8Z-f61DsXnJguj|D z`^$n?#u{A1TQP!x0=i8f{#Z=JfRZTQ%3R`H_NP|u^-=y1R_)Zb0e~}FZ$@FSpe33Q z*ba4S%b?HOEGk1j97Z)uZZexO~G|0Toe#J~g*;t*dM-a<$K zBFI=?Zn{5;`Y;*QJIaf$YE?l^P!hPG>Nwf;DRV-9tai~J58)5yy zx3QoBKqvq);s^=~&VYlyH-jTRPcEV?FHLUJ*SIimeKK^PumGyZSju^aT93VE}E1-}J1}$~QX7vf<}$2sK(M*#fnCPczr0S#J52SE)9UNKFw4 zgfHmJ*MH0tiN0R6MuYB8g-pt+!iyQiGD|}Iziqnr`08!#*ta1J#U~HxeW}VW*wd3z z@4eAvA&uK=w z(XRM^H3#WyTZaf*jQ@iVWl%3}hFmB;m>316+`WVZ7G(WGN5uF~nBp_93;`OB4=|N; zCTe58>2?|dGKfPioc%De_YeBcuV30_%Tz?~429I-2D=tIXBfD*bFfR}JKw&1)-79f zw^sj4D& z4Y?J}A_c8Y$ISd~`3%5xtl1Q_zvP{?^}vW1U-M)fow@8T54JV9=Ae0BgGo7gWBZQu z?Glp7lz19nME`F1-%rF-b9^XVwIIN2f!b+C2N?_4M40w<UTo|g?E9J6_{pmFON7GLUBuEed3+C2SU;k++`83U=xaD4ILyrx8kiqy zr3$Pu$~SV9G^g*ZlC&Es&HaJD zCiVp{S%k}@7$7?Hnm|eR11Ddr?qkI8nbQL_O3}YI>+zL_X)Q7vxB74vS)XHZiL2a_ zyI5!Pgn@f1WsfV*tE-V3elj{z?K^|jZ)phK6X(8t?yg3NcE+rp>8-lno7pmtS=HBx z|9k8{sQodCU%8^wdaKz6U#8Y1@mwCQ6DBY~!h+DXaVcoOAcsKsGSMLsKAa=U)0Ly2$SgU(%D)b;weKa*=$PTU;Pw0oyF!`>2~_6 zAradJJQJ=gzd(b%87~Wlf^w7=$4yL@w4|E{xeaAc%=Vu+o&7C!Lv4R0cH+X86Lu0wzUvZgv2s--a{yZdeO`)P$IYU~Eh^V-4H?74)h@caO10KoGRE$>Q;FTL@Xf&3 zI0%<`%F22QMji=FFC(Xuckl$plhrk0+!VWvj=SG$%8T!L&E9~E>-sKn0i=w1%zfx| zzr@@B)dB#nf$#-o<_s2jQfVnKSl9;-9+1ecHbZfEM*;9ER(2yD7tMyO^>MM~rK#4mN6OQrKI zN)(UY=B9w{Kp$HP=Y5-w{p#-@I=owTz-kKJhVtXFibL$~Wc(MJN>&s((4ryW1I$sMc{rb>+y-f7I|v&!c5-ypo9+OlGyZ1LA%@ zm0V;X_#;ol!0{Gq3@4y&67u!eZBr&d0f%^K#mH$^<87>{Bx`=ur8Q94rV`f>2%K z-yOiYk3HgDSXg+=y)#N+U#L$6QHZiq;52X_pu(=1 zow?9dp>yey9Gq+{6rxIkbc|#q0uG1Z);mQM_Y=vkA#Jr(hYrlqQ06v|JOQ0WOt0XT zg4m>xvWirpK@@`3z8)xvjx#?5!$=M?=!Lu^*rHCrOR@okrxv=W4Kvwi-hL?;IPQc& zrK}QtNY1dpp+58LmvGq69t)Xat{h9y4`yZ8W2$~DLVyY{B#+KC)N~@hmz3X6l~VQ& z4nsJqcoy;|Xczn-4F^F#T8H5%ao@3^3r68@sl7+)w_|&lCXr15u#;{;Sc`$55^Np`40Ezzxtp?Wtvk& zG3*9L%fZWWfLe%sjmLK>=o)}BYe4g*Xmt=KBZ#kRu0%C=yrTu-NkUsOrurPI-Ze0& z0S=_wf8-;cvxb=@J4LD^_khSyNMISt56me6NhqU0*E-rsqvrR!T=l!(_>+)`VjD%n z!W}mkYj^&No=xc%3K_^<*JSEqut|J%({Cu5n*+}Km7902^4e?oCXVf@*Vqwzf@RUL zeOxR@6${9rN1sd(84v9{o_XyNNo5ShFlR9Y5!ySK=7qZA)S2Lz)*X&neCt_48s!zn> zc)lGROy=*PWhRq(&0b$(M$;jYt{Z;`5<3L;{Ac7S2q0#U^e~ zb8q&V2cBYsF-0A)V#4HMTfT{z6nL++SY)7&y&D&YJV;F$Yd=Sg2|afMLqkiD9uN#~ z{q)3Jx5rRlpNO;F{3;-lMAQH5cq|&8AtM>d^K4R{#aU5O2ONC~;rCD6C zRM3r8H<)9n7J%Ad+*(|I;$mW7ZTlvaqKDlTHn_ z5``q~LT$tCWrMPcB-Fzb1EY$f#w2<>u8X`LNQp$uQfSc=C`KL$EfyJM>8vXC{H}fU zMY7Ud&Nj9d6Gar4pOPu72ZP_j_H=4EI9~WQ?`Cx=UqHGAZPtv2Fig|Lrqi#xh3s^w z=IPX)e5`%4^6tkA`{Gwxe>O7w5}+2!li}1|jd`g_@BTCG**>vq<#@Z)>$oNY)vwl8 zPAKIMvEA*oRvPqunIHT8Tr2O}42|SGqk0}B$%Aj3H+Qtp1?C2zwrW88*s+5+rl!uW zi?gYsqocT_d3@KUt6@%kGr_dkmJ&A}S6_R=^F&zmZWeE9rsm%}C_gRyg$?$}Jeg{X zF7Rbq);$n+{MVw!rwzYW+2(`=4@PZCb2tVRzaCMq*E4GL>gW_dNzw+~j6SUk5pn6o zy34Z|68&Fz=!5a&}7?FpJpwTK3B1{+c8#)jo z>jvMDoSn^trwG7Yi6n+v&bm+aNJZFnrfX1N`)pyK{TED6{dtCmTUb8~eyank7BqB# zBrMK-J#29Dq&nR42tgTMMF?TGR^aISoo|p->HQ(r&+Fn?>)^}L$^L+-+`2;90FxIN zR@S)d(+ZF<01xe2UI~O$Am(_R8FavHVo$5Gs9>OvO`o)t6I?rzCZZ zunkdKo0~&z-NxNBCaSRf#b_;du15EVTW&j>u>zIHh})rjO?}a!FNj~i41c_9O@z0pA#pc1!-2h_F`|w;XW!4pAl3pmf+I~ zxf8gt5}g5RcOp*0oKO;CF(~>(^p2))^7`lAf2-E3e%0GAS+ur`xWEqofROJFPS-(z zYhTr3PS;`=eJxc2bV9~m@V@$kv28$!d1>F8L9X?hM%;KJ(J; zz|5oCI@P8Rx@2S&#E;ZitzV5VPT*dS=F9r1TeHZL(vxII!psT}wUNO9_$J@p^gOCU zA|V1CX*OvNpFPTDVrt=6$JBLyhvZpw_M4TC|#|zpqi7O*fZe_@qM!pAsh)K@}`##JU1qtk{_{UTony;DNV0PL9OmDu_LrDz~yW zpHC%rh-MWMs)q9nQwq`3Sf~h?XQ*`D9ns)|B|uVB6#hE&>UIlefd2es5nWN5GYpZiDw+I#1ERow|l9=vCC8I+Cegf@&%uY{BbDgUh zxyM!+Zgc_yLe}Qjs8H(9Nt0pVkdpeyt$Md~Mv9NUZ)ms$NN&SiyG-czBM*%tH+eyA za4SU=`WeD*V<0Jpa1DFDdCq>_De(K_Axw^y`*^7*HWYnGKw={Q!E2>OMeHyUplwNS z3sp$;xTdI}MybbxeZkh=VGh_@&20O15 z3&cp@YdBZE`~}`*>|^{aVdLL(eCI-V`pcDsht-Z*xxE?A zza9yGEq}qXTVD5(g8E1}cqN{TkKR2j?%e-luC(J?*Zj|d;&mL~&s3+#v@h4C{CLG!f{4;~z-gz2Hz@f8t~ z41Rq4=OKi(gV3CjpnpWJwV|LwaG#n)R4N!B;B3-lHhk*0>}r%5MK@f^P6_DwfLG+?juK$+QI@@7={y)Z4S`T>7lPNlKe{Z)?Y!JBMB)A(Jdn? z7X>@c-}PT+1AGfQ-9F6@$sx)_0fDW_=W0 zpI9dH3kQwhx#Obj$bAdv#7Zp51A6&tLnZ=}gl7;k0hP-eP9d0wgx=0cM#`wiob=7p|QhR8arN;*Z2D*op&487CAO-Ulvy{JzRWB>>+iAZR)JfEK(m3&?U_A zr`nxoxIQmnsx~@4Zl|wS9+|Hqdk0T+SOW=Nx8@a(;IOxDt%I+V1b$QY(mE_XTmztH zzi%ISZ@iXAP^x{?8s9C}u<6=7yju{pn)XSVQPpI}f@cz1P z*s+xH^r>|8-yT{^9KhBebf)sdbHtmo;}-sI;n7f-d<%!ve_~fH!%q@3EGlZIT(W{t zD{t4+@a^sJ=&WNKt5pn8{lX6TghDy&dHac8@~&?*{O{VDOuMQqjfk6VbJ2H=jYJX!TQVbOIwm!$ z|KS4wi4znTxLsb$OL(P`1>^Hy0Vmf2b%4-o)K$VAt^6YPYo1#j7Vr=nDK`{mEeOx5 zYGjrZ@4;-7kN}+FTLy{l`MJfnfKBmVvJ##}v3M{GJkYkIVB!S?C9=&XdPq3NhYudOP88$Lvo%8A=5Di+R>wXPcDaI27crjxb!(L^y^!Q zRf6SnA&0mt2^))~smirqQv!qdm&G?>WGs)_jt37`5kTjeR*hmn5}uAwl?r*b`78K%-C5c}ho`@N#lMeodi!IQT|hu0yaa}xyr*Hvh# zTTwB5y$m>@{*9T$Gs6U!l;a;gIvTuRFxBZqYMaZ5kb4y3U7vix2c>-OLG(M@D=Zq} zDp+JgUr1C{Rx(wxY?j`y*E>?{o;-gRtnE0utXAomkcXJ(OC}jYq0xqV3=h)-;gX?^ z4eeRTA6bATxZZii4G;$V%T+Xw%w?bNySA9E!1}k;EZ_gt>mRZ(f*VaijFP;Lo0z?@ z7a`Xq(CR(RljSk5k*L2-R2O!ny$G4b-%o>LQ|n(p5_cQ=kr%Rc@in^8hHE;pGK0!l z4UY^X@Cds-KLb!XSSfqqlTqudhPJkQdst?hgEjIHe7La=Ps&Dych8L*2QH?p9{G7i z_|&G7Hp&>J3KfoJQDVj#)Jc=-^3&IM{m^iZSn#s`Kr86XP5I8WnR#qv(~%k2GCL?^ z=-oQN&1bjOgeU0IM7tc5zXd9AL<;ON* z1uvXB<8=V6a0hDj$B3-7yOT0jTB;n}ZVItSP{h99r{7%dntB}*6SM6)NoIAKx*kVT zvk#Y`DQA4Qid&~a2_QJff-YaedMs-@N|BM6u)`@UfZ>8aJ@JO31ox%)V{T9a)Ve!A zLndP)9MOhCY5{D~IILzfKY|l3mi^1g$ft3JJG&K=gjJq zG7GIcu6+a-Ll{qL=G@U+fB4=t{e&$p3j%PoUaZY*Fl}8n&=H5Mm(RchpM~s;5f8qM0RbPv9z=Vf#Ln- z=nl1EO`XP45Zn7T-5}{C0Z@?GQiF&C1%6ld9ezXJh0lB8ezPq52HgULgh>z-k9{l@ zp~PEHp>zQkWZ+bI7!Vf%4TkpD)YZ{Kr?-86kj%qEU4k5`6udW|A+a4h20MAKUHA^9 zz*vN{sph#TC?HJ&_UBt*WGn>m!AaL+hiT61nGRopPZy4H`pZN2gborIcEfkc=kB5c zQ2vaF%Y%?A$;C&h9z2qrkugwR^ZZcej+0HGOPvaCXliO=7D?S-iPOv~hhYcn>@*1B zSKY$QEi=%{Ip!e9*fsS2{rft+N)}XmVbm&Gn(iQlX-s};RD@I%(_gx2C9?!gUFffu zgmjUJ`r!G)N-3fUnYBe1c0zfCPjtu};z^r|D3bs%EA6Wo6Z`h*_Ezs&=CO9xA$F8o zxfE|)QS>L*>xd4AiT+flZmld(X+QauMM_lp)*3@YL)-qcHwUJ%>i8%w7#B(%%X$O_ zxVlU~5c<>KJr|Hs#e%vBduY}qEXD_9U6?v*o)wcuHXf7}G!!xy7RwEhTw+M=UV|!$ z1ook$9Q*Wg4{Fj`oHk@;FsUBV{^93c*bsU|2TCSJC>GaH2!u`e8}y$vQFxud9t_B96%JKa+&NpCupMUTayfV0d@FO)WYB+nidg;aYddNV*0Pq z{0tkI+GIirBT!Pp<=t}K9k@+(egIH)z}q%euRvFYU0KHu!TJA7OFdfb5q=KMx6GNl zYs#!(MEj~#ZJA%wUlE;YS8Ng{@(JIDJ5u%xKdYrg1BpFC1~<%_BxU2)+??Ccrx|E! z_TMF82E?HS+W>3Oe&S7=o1af^vnALGN=jX0X~wfhEDrNnId5}FZF0C@rbl9=3hDVV zn?Be44RWy<+BbdFZ8#cpTA#gU!=2`sJ%LgE_e0?p_g#Rx9K4MW4&|!0d;LWQH@~a1$B9k#N?RBJH zc}yU^S?j*P^7d^R`daDZ zRxCTEh%In1I4CGewz;uU0kqzb&oAS&uhsOgWoRi-Z|rcYyKB-pW9-P%@3tX&27^P7 zGc$Q|6MCl@mR_Vwb!#a`-n*yVG$*lImG1J4*Y3OmCCfG*uSvPz_g{w|y&GCNx9Qof zU#Dj|El=HDY=$O1B)7W%bWq}Fhpd!ZnU#&*w)vyFEnH!`YyKO$d@rW1oD^+OJRT-R zJ$d=A`d#P4YQXX7nT;QoeBk2R(M-7XddjTFP%!SXbz@pR=2(S88p8@<5)t-Et2;qi zMPe21-zT;|_&2k<=WA2}A>zG5hgu*oGYGzjpn-_b;dc#%sM!qk4&*H)QwCsu0jOH+ z0SqJkPaVMo@%uTwCg%`LVm2-eBpcf`av3iv_t|`cU1C~e@mSoTyYo^ zZz?P!uft{nNM!UZp!LLYSTqFM5N9xfNn^GyO)qB>ni9A9Uqw0+>lCnze=K!0iZb!^ zELY$}oOUwOvf>W$yC;c1D3=!&5^{a>3w>yZ65#>@F`@OQ9PP@nXA4@SDcfP?6A&(0 z!Fu@&y#Wjf$TrIkX%1NBGb`*B`5qEEbMZmRla-#}@}lnjTR}vpo!Nk2K_crNkkW;q zyxiO`u}M68+}xJg-`DkKwTM5}UQv9#2Odn_Ae;#=UG)_WaMm4$$c61X4sO*>>fbFT zEegK!K7W6UE%R}6H!-yghgkHBj2Hh!-E~jS>`uGK1k2rJjh2q?(i@om=EJm>O(#8$pnGrr2R>4*)?lcW66JBW z&ehrG^V%0#ndajS#vI-WZ_f5L;@SPH=l(kWkh4?1jZM5%?gd~fES8iDl_e#TGk@@E z3Y!84v|&9|@lr!WV-nou-A}+84yrx$sjaDT8R>jD;EZnL2^!EXd1rP{HZ`4?KmU+Q z(bpS^qdc3%GbvMWcssBLJx$Uta(e&p&thfm;2^S{B(?c}V$pPl%JoUtm1x%6bU`Ln zo24WuR+O^uQ@(oh;EcdWN@g3e=bL1w-!XJA8l5?Kjkzm&;fHYcp^xich#9gl>}9(( zk)6G}*b{BK9WCl+z9xn@_eLFA=mp!p-O7IbN*KgV9N@FiGuDXmAXM3`ud3*bb*wo zBWzWBtP?X;LUSADuZHI%U%m+1d_2RB*}fC_zMya2d~Lf8L?p%Lg<>CWr21!E@sT=k z;8eRT<$-n&z%Q?|OW(vdIC8dl5j)@wLATZD4$*@=l4^;1$W~vU>rxXb4fK=u!H`*t^o@3Wv^4be01X*1 zU8%s{$#t@+smTQo^ZenkpkcVMho}GEQAP20HS`3Ym7jr#k2iZ|%)i;UHQthHD>PZy zULRpEMZkE9$ZdJ+9wYdSz<-8fNyo?(g6(%<7?c)Cw5EtD;gbSK9u|=awi%N4^hC1z zARH<7%69sR{#Rlz0XJZ`qPn>3fi!aE>E1$WiUUXkkRCoDS!UF3Zr`ZS=cvpNoZJVUiQ&4ME1w!?!>3& zc%Zvr7o!Qy@BUjd1ts%ZEj|=>S3ahn5+S24DgB|i@w0gC@Ay#?bTD%;PE+;A!oq?l zU$A&L`(cp{(`hpo_xsTQyLXV+lvzlkSKWF<@Nz^-qC+}o`}@t5{46eajg+3ia-Yih z_x{YfdD`YRLQ)u191|CVx--#|YbT18{iWnZ9Kv%~7L|0AjI zx>*IP(YGZGt$ju&w$MC?Sk-yzDW~SJmibw`^AyK;n&1wu<#CqJ*PVo~x1U$_y}R>` z^4@K9JzU$OBQ%9~eEkAsPcP>*#1#GUxNW!Z-pz-S0zt@LfQFV_#89S? z8ppT_FeZYrs>g++=a$L=$(Wd6J#^R zmy23Q3<`HIP8sLv+22k3io>`XV}hrr=gXLfOn6mju`MA_qPoAoKkMLmDS(l?Z2qw` z-cBVlRaag!J$m#LR6!<5F9jfn67O+S|1sWn=D0&>)Hi7=Z;r{r9xcLTBqk-zwaU#1KwgD`umf8`~YTSANYnizfqUNx|kz7WNLvB`-NQrq*+ER^OD--J{W53+s1%#S+|%FcL!z z|4!wdl;v|H7sO3H zxta!fdle@jIPEcf2`WaJ;w<(&j>FT7v4OjAV*Fnk^ki{S5gQI# zOFT5Sm<=di%n>2FvVPMrF5!@{FlFR^ik{%fGKj-LO*UPiEd-ITi{R5p7Lz!Pp-K^w z(~$Piy}Y9bCl5(E`yg$Ky`2yA{tq3F-~fOyT_w5jm3#4Lv_C_Y$rT>G_e;@b z`I)YqE!d(dDUhgx+^!vMnA86c5$rd52#|Qsv!U}c;y$_XzeCX=H4(USvF9vcJBkU9 z3C#Tgpr8MwH<@B6t@HJNAqxBX7>NoENOE@oQjP{j<<8DUbf{5^=`(5 zwa0Jw@whQ=qBww}q0_Ap4-m=-VX_CTTX_M>5X+(Jr&qpf1cL(BPYKM&pxA1gpdgK3 z#FiwP=Vx}`CxVGdT{SVHQB=Ld&s<{243j+$0aN&4CI-s(lgka{2p_P21;l~OHtu{# z-~mu{=(*4@G^538AUd{%Bi=eAm!Q`ava*uquy%g4dN zcAQCTTizJcEwTKVwd;=lWjDdKuF&z7^`*vXh#o=*4T*8Vfc z?|%2pq@S<|4r8LH(7EB+v3%|9oTh}w)G2y81_p*$xvTj)TK*X26upi0_0^tj;QYMZ zsG%WQEl!JTfJ@WUQ^r6LN#=~Qd0YsYLR^$nLhiy29c?j_i5`QcZ?XH$U{) zQdEJ4F1+^Bu6SGz@eYn>plSI?yVbFPz^pw1O!Y>eKr`jKbB?Kw)j8=-=2^ts}xv-imbK&YY5^ke6LKo$?Qk0xA|8XQFTw)aT3_1mTt#Q7J= z&|a4~iJ=NFF7{J)tCFt8k|uLAGXS*AaD^wr{ zkj+DrA}9I}rBB3~Gg5GB@#woOr0u2YMJV1)ObkO<0#uq8LG%)j4T<7|Zift>lap&U zQsR1yN`!75riYvcLm+hcTiLnd zb^p<0ityiY6MJ88nw^_dK(#92e(h+AHw@)W^?W0*>6loYCLO-T57)k^e3?31j|Hh|R_AXYTH+4b`p~zTpTwuRxe?lmL>L15BQOIv zyGHvJV>pGD_kMUMPQ7FmnWvLdIVn!(^ZoGy1~9*b_XeI!TWM~)JV(Zz-b&x2GJIp~ zD`$g)Zu(q9snHEE*X&R+DFGG9+&zRDiK0>JH4Ygk%3E2>v{fgxB%P>uT%O1BM6i3xmlMZ@>1V zJ1?R7%iFR?QSZKj@u?L$56Vx~4BmjqA2kuDS!`<8A+bpiAyV23q zz_v+VF%d%9WY1N@N(nQSV1Ks5xZTRvM|W^V!-yU@b8%}n^j|bYs|2=)*5K^K1J^6# z)o_cFtYUoZ0a#p*_u4Xn0Jq>Z&s8AG4f~#b5$2hAvq=9liR7s-zqxC#I0Z>qBfv$+ zuh~bk3)^@A8N*?#03v32Uj`p?-6`O~6)=UL`3^=?!w>Xav2LZP8AhDWyC>$rIn1s- zOi0jZPN8S!zJaNA$OF{13+kGRm(6;fvStc0Wg88V7wgFCqVAB^7Nf`udU`=%smMsm zt7Ys%S}S*?(_j8{7s=4zTREUIN^gddG6D`>s&<*5jvul%5{){-k4fq-QSCUdlDip4 z1Q8Fo05&F&ocoI4UA62k?cZ6Fz2@i#5vTYuSmyJ`oftcj4T@FnOY`ID)#$>X>v#Z_ z<3Etnig8M$Lseo4{G&2q-gXj#IQsYzTFVpv`wC8y)J~_3BLR92g8S^tc`|zKYaX7-^u%U{ z(Kw~*p4_R=5viMy)f)_@K6ag8+z$d$QXBx%NGSEw;ZGR)f#AOdxptC8F4i^W=9R;P zr|+2&_e^MLj#RCIrKJ!w#c07Mp3Bs`L!>Mf44@2H4sgFuK7YWOs;&tb^kNPR=eTPpZ(ET)-Itnq10Sbf=ku>ziv<*^zi=>8iI%#;S89- z{12_oNeMwpCFZ@WEs=(KW2a)_{2aP|@mn9RHd?Oe8kBS9RX^(93j07(=P1mbas z2j4v;DkX{?Z}PXkZaLi93avNkJ9ClV_I-M~0GAHY`ru5vahr+))nLTe2>}c_cS*z~ zczFT;brs)%wU9jw17XeW&3jysYeW7*R#qcrpROz6kOk5d)OO@g*bWhQSJ!IT30$Be z27utgau|2=j_2M#hF-n9o!+Ss}KCms$Wv&7hyeofaZ-4Jzk3bftuRd3+aTLUqf!;FIa0V5A?$?;EDC}2>+I4R zc|>=HaErO_q{7f}7;i>!Xb_5j|HlwDK}EdQWWt3e)Fi(j$^kY z+Mjc4`%_f>RJUK7%j6n7(=M%4HPaRTpH zy_YI7lGVi7+(L*RArJ#>1XStqkB;z`5|p=N&OXhN@ni*$v^D@b<;muK7ZBs zVGLh>Wti$e$o(MlPJLDl^QHhg8aaORTvw;RZFl?C9r@3|Yxkf!vi!^^)BP0ES0~md z1ZmA3THRDOX_l3uB5X|N*lNQ}&7@#i&(sHjPTq%IhW)DhaSd1Z^lX8j;5Sm3$kmOp zp=w}Y;Fw>tO|ve=wf+jzf;6Y^hQ`-epe@4t9gr$Q+K44bxRQX=AQT>GmR9~v(OM|q zP9aJShlDvk3=(*N9muLR@fOZV61$9Pts46W@g$I>Y`DW~aHTYOb8p&Cc1 zMn4VOrJ~Ht(@&(eS;GxFND2#p5T?0&CMF*i!;&Z=>Kmb2lDGNj5=58b_&kA?GGVJPBN6AcXC;2bEvsd#ik{=ROgFnBk}6jOXYpck~|nk#@m^& zERjaZ8nK73OS#37%X0jYOslCX zPYmUS!!58k$JQ3z9E4r~e*z8)TB4_Qt+HZtcqIC%?mqL8<0fIVh%;#2wMXtD6UJfX ze&!2D`Vwqb<%lY&6mY_S`s$krk>gbm-lN zxD{C=E+ZD5w+-q3j9?nugubMqA~ZON zW+vvyZGaavI_<6mo-8sw;Q!K%@duJrC&+xpzHYXvTK5ci6R~=?aymL_4liW42IGT& zUS7Tp;>PF;@fj_xT^VCaw^I=ve1fKIdd>lwPb6RvO)_XTdv|S&(i0z^utTAGZ5Ky#-hmNt_15tbnY#>!T!{O$ZLd9=SWX-o!ywpYO2!1-- zo$J11#oWVF^ec!Es=~aD9liid(EA6=ELZXN>};U4LF^w3uQUbzioDR7=6=NR?}~8$ z?M(Z2?;Z*B!Op1+Ap_Jbc>jQU*K%oa{?k5EFfIa2^nE=@JIA6=|Dl0inAOQHc{kL2 z1pFNRLA|c->QeO#n8fT7{z4k`v>@_Qbz`;*yUKGv?+_72cGeSzzCc-Ol z=gMFQX8Y}*o|U`cr@bSta2^5z-|!K$lrB5+xq&j&j1#BzYb~_3un>ga_ikjQAE*rA zy51~GXgMG1L)rr2U$n(F{PBHm~M zw_vNj;Pdlro(T6VyA+j8&)7ONu6A+Yiw)6j!zw|13;5scn979RXcSHvVfwMtPd*6x z7{eZAYH3M}S<~cOX}{)vOj7pUxg^I4oN0(Wu5~`5d;Ua$vy5ee~soe zX_M3#kE;fQ1zeM&4AdMex$LR2xh`xOF z>K0cVmLv~#>naby9=j6W4Yy-(a*GRK=8xtNrc5f(3-Nofm*y{iS&oq7>&u9LH%2v-AY@BpdH3*ri#;~zT1&kaw4gu+_KY0H`Y+VRDbt@b%AlrBT zy6N`+=h2S$m%8`b@43{=$MgOMDO6*UWzDvSil)*4`V)7*r!YsTx({ijf`pIs_cXeh zhpH}JT`$IU&^jjP;mK0lPtZ`wd=F~e83>3c(4E?40L6goG3LD8I1+0o*Ve?q%mWTk z;8%u37|!ooXe<>#=tx=KH#vL5%ImLm@>twob;Xo_#)fi>;-n}CB7gqZGOeJq3HK3k z&HyZFPClHlu&?4MS7*Ny8d9(hg~DwGm!aDTWPO4iA}x@_!wE^^F1GiQ+C4wt{w#e_ zsbRgbKP*zQN6e<>NGgy5z3ocC!nfu?81dc!C1{+%kw^Gz5al;v)Un+HQ4D!xky@3R zG*{i#wHcERP~ex zuuyChcU?4x08vH229pBaB4mTavxQPO>%3nONd_t%t#a9iPfB=HL`BDH>h0jm_gJ4I z{2okR1#L=#F3}J1(6YIh^V441QE7Xy+mBDBD(#?u-q$twsp**WN7=dE#vx}m0rFIG z@v@fsD`CUiJ)|VHy6OG3pQcm$rVE;QdA(&RDV#cMrBl0p8dxumyqIO5HlXl#M)&UAR-uQwz1z58`2toSYtFsA*RA`DYuC}Xhld``nloERN$>( ztzEk81jUA57aG~a$YEFew}F9yi0nXW_+1_Hq{rXA7Vsj`VFI3xJjJN9NhO!^M!RSi z)I`ty@m@zsh6<4$sSc1!t^TcR^zEBcI6_Tc*Y3U!I5X!Rr`y z3>M`O+6RNARf`|VMTg{g`yhBi;g+Irv)}x_mtRFY44vZkB{~}jodY~R;SzD58EWBT zrO1!8z&}!z6vRGD?je!2OXZ2u?WF9NyjVOD8Ma7_d0N+hy;+#L-PSLj+Z&ngqBf&% zBO^02GtVWQbOG;?_;O-BV_4h}F2T5k0gUPCed1oxSTOWvp)Q;HM$~7m+J$PH$ z6ol0nyi(QjjHebi6Y{x{g-|atlLK@{)4}`V15-3dsymNvzZnsB+pM}}H) z3dQ@7g_Ca7_Da=}8lyt9n>ziB-+Yr__G#bfUH<~i!E8)5d}iVM{{D}0=Rfv&w98+_ zM@DgZ^cRSo1~*6#Oqea>GYSzkG93(xdTzlbjgM!7QqLzy@AYDPf9GEj#!kHkpSwfAj}ihxWSsokOPeH z7IpBLD~aRNFSwzsCgAM6k#8#_LaG%5@yl`=A1$bNf}H-D<3P7S*uPktZ?oror#To` z=dE<@Cx2P5{ygsDQlPRb@NKQPV*Ytn_OI1JgI)#J&6_#~DYl$qZ>HVUETMk7I9Jd} zVvpA9i}aZLwgx{mesDdxAj!U0_ulFAI<8v|(NL=B+*P6Mqqi!rJeuJqdv&a}nXl^E z%$@OtxI5zSUX3R&B!55L_U9!c|Ft6DhNJc{EKfj_P;`Vt-sRW!?P6AhZCqvE+2EA8lp)&?=SkA>Cp1_XLenTc(_3{G!g1;swC-u=k1xq4X z_&E!M0b1K^55YF4An1+D3#I>l2lxXZR24)7hUrdtW{LJxcIGxyz7zMNQ$;yZc?FIBkrO zpvtGvanE8Y;pj#Z@~SXjigAp)t2{QXKk<8kA!?I4RDW4J*0WU@HM?Wzxr2#*6d$tc zD4+orR8{Sct<1f7=gytszM3EP3-Zu{fcSKnzdr48g1B9yM|V{Nb`&fW+v|TNKUB!X z6a`c^r7p*u2SnXaKKPGn=>;Agz#PrplnJr^7R=Tg()5Klb6Kwg#GzsER5Y{{AmQQ~ z)Wc$STguPxQwx%SouRmGZxF_fX>X;(UP-e2k%0!bjU?G{e9-97M6!X^m$1#z=f!BI zI0=VlBQB*|AhETG<*bIReNaR{qI0Wb^$vb6- z7(2AkL7flo-HW|ESZsbM;c_@FR|VxNr>*V2U$e6Zid;1gdjyQ<#0x zT0`dy0G}6qZCJ>j$lt}2hG7}^5M&CppsR2_Y{8nH`ROY54WP)b;C|(Q4Z7WXaGV;nwDXWAcD>Xa&#Hsxm+mjk%rv(1|85TR4_a@@+ zz_Y&(eU`Y6{Fy#j9JQaY$xscFFWaW%+RiU+8xEezTK0-4doVdwP*Bir@uzUVyU(%d zl2SF6FS4f@#ABLHT=IyOZFoR6Z!~gwi&vL>Dr_2;V5(tAyg)+bK?}q2N+J-(lf78* z&MP1xWOmT4jlj5gAQ57-`M~wY!A0r1pv;Z35ndwHA?gP-l!OF+*@^vw@Ygvd)z-vN)INO& z^eVgbX=X9tIF!*!Ou#x*SVE!O)S+WD)rm7ohhRP}J)H)zZXi{Ww6kM)c$gw$bQTNI zd**2EOeMJc`YwSGA>xqBbKBhmw(#(1e6oI9kIij@su;taa8jZuW=>aVm_t7$h?&zF zbDq`HGxUzw8IBa8j(>&FuNGJ4nXr_@Ybf_% z#U%DI)cVMtX)a; zkfUe{-!7(k8^VpaSI{;7Kgwj(80IXK6uSCcdX~J^4w%)f3+3^{QqPW%&r~;#f%=d< zAwj`dV+}%ZbIN-Zbo`m_J&a_kw6?y&1V27&27S7H0{ncY3=TfUZSVLmvvPJH8hF^! z(t+smsHj8$$9_?VL7$N51d40)ov{AXuzUprmnIHXMzzAaTXj(Z$nt9UX@Cd#q`_*C z8)KYC-!Jga6WkB@9yE^ExNElfI8?m)*=>~CsMog=y*+#}9YJu1ULuAIDW3|qXTRSo zR!pm8sdxPigFQ{~@M*DYi#EKnm)C(ux|x5Xzh9Njga5_u)#tL%78PG>3=(iyYpUdJ z<4&%BaCN`HNn`(WK8NSBAJW%tRjYGzMgX=ku2Vy`po*O@<@6KM z+YBn_to_kdXX^db5_hT}tw^Bi*BrRq~Sxe-}~G(O+e59!yEp8Li$49v^U7(kbO53 zsI=gxPoH*J!`({6%~0oB-g_BJBALsvWz6p^-sU`p zz+a!q)@&fzSiWeRW1IX!m>|6~_*23AQ`lB(aRBiTs9yzAhRGf3Ht9s<{^D&QVIuH0 zI^O*%5(JgG07fiePXS0VMO^}E2Zbny+An!oIaYvJgy|iF*wzPyo!4+Qx7mqL1JN1> z2QD!4F%1o^Ot;|fM*P)AY4v7>+uzm7EAQOd;JBe^m$tgPKU^)2gkWFqU=2E%p|t_F25%q2D^AN>3ou z8H>RI1m~@A+0z3vpr!bWrBY(~3!{3_+D2c<0(r zhH@L&NVbBcJ4g%dZ2(i$X0JYO!AS8YVq_`WMg&|dkZs$9D_ z6V5_0C~rG*4GwxQe|6%>RMpH6>?Y39>+f;`4< zotLL4L%%u`o<2noZtu5tYdhV4R+--kEk`5E0SZ;kDOgRnLnV<-pYd2cSLJMn(uBlW z7Z;Z*ta^Eu3^BE^BJrmD?27An&tIeGdjHn7U3-4j zic?E?ixA|Qq^gu?!0~hWkqd)6wuan<*d$Ib(@E`kB4lj|MwZl>p&)u2Y`A!~AhP%P zdjA~R5kT!3@v+#l0L`kw_dkm%B@OQ#l153NJGg%$Vk8a$#9T&kSb^gK!h0OwAz`E- zXBx~-=MfZSqaaopC=fV(cB07;s55!J_vU;^m%6k5^usyVn_}?THpfe@hr63t4^T83 zNW^z%b|Wdz3?wF?_R@Y=^dG?z9*obQG=GAm3OME7tx)A8U@w=*)P85KTl%KHdz@+- zW!nN8nQvCPuM2(rVpzI0JsgQ$H%sXg8t*&af$WNr_rg}6#f|81EkM>eh^Dt)U1wds zgDo4z68*c)_n-OYqfs?}d1>&7n>9uWscCD&K^%aW?pb(nFg=c??z18#+MUy?pxHRJ> z)Keb*fyxZiV?Z}^y=y>V3>amC6l0*rvwP&3AiqEJc^4xd3t*yi}4!7tL%KL zDSU9bsMHAw6Oa|(ICyov&Upj3kMETZ@l*MU6!&ox(hwJZmS}^5rKwZ+J6ej`LyN0c z_z?6CLXg?I-Ep&1&WXawYUT!M7W69pxPV^gUvYWwHM6sSBd( z7HTv6DW5NzY&g%~hX*&=fAvC`D*a<#{IAkHq`o{JRaFtozATH_u-As}+DprjZk8&J{(^KW&x+GDuxM<2jMO%k1mnHl!=Q_zHA z!Eb(ebSvJ*=r7NU%gX8@U?sCXa`{pbbw;9-2w2apUGK!7e&a{^e=7t)XJ9=A!z7{< z?%++%1;e934w6(#dnI*=fgY|rxTqlt55&BRWWx;zUrlZOf?25J&)y5K2fvg+YlN+U z(0l|~M;4%iT#+Sg4OFW~#p((Y5_ph=6^^I?L%q`LxRk3Fz-s z*Ky;N*~NP8?!x-+N00a)%K&H|!IRph-EPeQ(t&Egbb|?gnrQzm?aVZ;vnY$gFIH7& zuvE5b>=&4Q(tcL$1=A-vRRW>H+{D4b_$C2?g&~kZ6mMILVPR$Bn?q?shDA_*aq&SM zN}B!Oh+j!@j+v}{D4gSbwcj##`zLix&GZ>{tsm7vNj$O#AQo1Ru8RxYMbBcd8&kD( z@a;GVS1LI;Ho%Rt3Z{u~mU&~=S7d2bzpwNuU}`?BWF;QxvqeoZ+bqSK8h2#m(zh)% zw6xq$ltZXxybsGRR8ZcRNRD2PyduvQB2;ar@GU4Q8jolMU^ficw^etjac!k|wc~C> zDrbaBF0-n#GT{pYl(z;gNK`Dx6g@e#(@i0ftGm?P$thpwWAPLfK;LVemW=Qa;sM?K zG82%br@s3S{BS&2?U^UHs=EoMT)4_QzTUN)M|hfvkx@}c=WbQGEh9!PF}Zw$cUFfi z*>jW2&X53>)M-Y!Pu_p$>LC!M2MA~N^VL5Ftf8>GbKd9XyIy|gU}>&iz4<8ZYQJ{& zy)YS8sc&!HVjNW&8?I#U2~}Qcj|o0>D)+3pOM>b|dwZ;pf!<>UJ$0cU5A;S9R5s5y znsH4(%&2U$=P{Br3K`|4pDifvKdjBf8PD0q&y@~tHF>#P0U?>FvgxbyT*^Igq>zT8MvIx|&(Op=m} z)y2x&AV%9Yi^01-VhC%lM(9wGnXsT>NYU5y0O=sgQ}h)=1uWu9!AaWyW6-ed-p)`} z#M67=n#OauB;m7RIW{8@e*3l}hDS@P7$ggV(+QZB(&Z}gOs+?|NVrrY*tqt|%c>F6 zSVV4{1Uue=+LD|l*m6iwAKd(xW%=%}hgSUY_f=d`-Yb)tsXe2fCa3Z-MH<$!Y*B)` zGpqP1WF9Emv#NXu`@?@sW$+N&T=w{aS^|;idrJlBhnk)8YdOE0SqhT&sVlMUJ1KaI z5+6L+X(uPxM8fQ#Ey%FkyK9#M@C$V#Avbb<;N=L%P%&{?*1yvrvr}j9=WlQDF?6qD zcgw6;-ug%mvD{4?@C_+oO zO&-Sp1{^wdR0-#}`ZA@MhlfXd)-&`~+Uer*#biad%0IxL0U^>lXbus%+4)8K&BDuc zcMH?r2nXNR#>PjZFF#ACo_^x;V^9WnnNo377I`TabW zKOs#{c*T)Zj81Z!Ge?x-7<8qoRo#I;&>_O%LwskL>VSU6y-pa4IMzMSyZg{oR!~zaYVMvFc5cZM<7q(+lp^yM4gT1JAB*) zh=4@d98!5sOT^csIt)AdaSZOnzx^$g=rY#|Uu~PZu{rc~A;+|&os#UVZLl_-&E~-o zXIY{D)dJ}L%2wh_rr{3_ECUcA(K(MRW3HNhtNsW5P8$glP-T4HX`oaq^3|&hh~%io z-vg@`ES&R5_T8NneUf`^NmeJPi!d3hMs{>VYi)?`54dqWcPT?AGWVx!Qof-k2aX}) zBfYj)V|@(Ne$`f8Y&>MThKHVtBl?kfeH6={sf+Jgy7s4_^ywA=Y0`%Ua0Ism<}X}c zM1~6KkCHF+pg|xW(x&R_>vie3RXoAjc0fAfEk@-Dub9PlH7|T>(9;l#9Pxul&cGjl zM=d`;AKJ#_Xjo@9FsX3QyW5)5>jpNnhq3d)<`!%A$q@e%4Kcc5j2ASPXcJEBTk`mP zbBk!q9m|eF)7sNSbAo$5jwxKwjon@jse$PZJ-8MD){^-Ie>Q!}RfmF7bDJEp7~lY% z!x!)tB4plr2HxzF$8B}un{TP6?Sg8Vjs8^ zF3IQ{p92trDZzWTnm+47Zf{{zjP`nUZ6(?Ew15djv!Dp%ei-!-2V znI{#^&CPal9C#gxTpz0#WxE`0ZSq@8-S`=G5a|gXrZ;LkoyM9CUz@^I(7l6bYAE^x z0f7qNI@o~EC}zWdCvntIJM%5@;_y0pU7uDqa_F!4zUj~VkqDKPHxrk5%@^rQD3((H zZnN&KyTu<$fg=&U{r%gqltI3xCo`o!vQ^g&T4JH3@y3HEo-AOmz0A8b zKc9Vf5J<7qiw$xdNMgUXm90@IMq`yVLj>I4l`?xW4#Wt8?rr1m?XuLfh%5uX=^J@~~*jP8jNJ515lT0iZ> zkMEWo`ZK!wO=)uNk45?3CQHtdQGaK}{^5E`zJedMOR;=|+=2ZP0g0mpqt{ph$`Y$% zR~tq0-p_O?CQR-qYkJ0gd1ff7Kd(f9zIcgc33a z!`M7TS%v`HV#^2?R=b6J4L34T8<09HqO?+1XCRCvA|lOTtwC>Kx~V-ra!HeGlS23I z-;eX@+ElWUN+&pT1LR5M6^2&gZc>ugp=J3tQY%4Xy#dwia#MbC#!yrEH2q;x=D{b3 zXNg0aL(8AJ@H(vAf?_KWU4p0xk4?x`8cn)7B-WVQIe8hb()8Lt1*BvJbzjHo=b`zQ z5c~;+lSFx<3@jrI|F9^O^@+X|kJDt0f9*IRl{P~fP#4#Lilwhzz|Q26oN1m%F!h-s z$5QX0?_|o1{!~&}SPh-TL-M%!U$72rEbhWQbUVnM z-79Y|vt8*Oj15E63f~YWDCAP`;a;Pyx%m!{A2_21UwNH#(HFS?*x@(tSY6)J*DEJd z;wrGEht8{{@5OK|sBTc=^s&EzvQ>DuWsh>V#c`<`cp0_UoPWq*h@hgTw%r=J!h44u zg$4O{<%6Jw#80tYx;p)v+}8?%ai2MDv)kh0i}hLS4_uUYHwr~`ODtc7!O|oNo^#dQ z!E)w5uOEe|;j@NxW%8#R=M|bbL!{!<3Aq2oLrio2q@K8E_l8Tq>K9=B|dmmPScv+MXZQ<-Z{GJ)TB z$;`SutG>OZf22EhsF!V{U!(EE>RI>jjeV~fj(FzNmcAa`SXQ@KmwM#7OW8Ry-P0Ta zzDGivM;Ijv$`pLOd=_gUvcrSySopmmG+aVpD(TM7$)C2Bzen71EGh5?k`xf6eSvP~zCME#+Ovp?Kr}`w7;qbejpJB`vs?*_8*%vsXb}e*wtFVh zQuy>+favq<*bCOSW*VNPOt)+8<{irdSn@6%8TAiG*su3hbv0&zLLXT zO??yP<8cMqaJ=2X&3DQ+7!5G%5C^INxKPXFQ^8@-)+DF}`FNqF^hW&lyvGSZiW@6? zZx4{?oek#)!RL2e!f_N^>I;^7$a_I+N5!_44vXnB3%S#8#$+Pc53G@h93mm0ro@S2 z5Uj@pGB6!xGPz1_K!FFJCs(6u^)Y znwwK5D7qnK}PO84dGvKylyQVBI_mJxhy3^NtUf~PUtO2>kB%D?ifGDy7Q5wP#CV$a zh^fKm70J1jo?@xx6w`9GRGCAM*)IHXzY#VX`JjMjlE+%nc)M0qj{Fo|)H&^Ali%%K zPK(TzoZKnhun7R+A%m?kyiPZ4e>kKavvQ?12|IFUKxK1?&Bt|HK26=aOQ~f`B`GGo z`zvQ>9}oE_uiKvQc$LDmU-jW}cUz&v`_~i|z~2a#@Oc(q(OOwsSX~vH&g0L@K5dTB z9>kD5QK5=~0tLt%5!e#=)xWLeP3*0ep9~3u-Mr~Ba8!Y@3A9?-vZC}%v{|!5x#!o>2$NO*H*9%@d45p4$ z5n3ggUO7NuDFXgLIMf(AMeJlaJI^d|wmGs+5v zL)LOZ2ZSCUux#3dWO)j^5^fknt&)QAes3y}-@6S7!A0#2R*`!vWAh;1kFiQiMxwu^ zxs=_91`Dd^@L!+u($dm;JcIB$dfs}|hRAIkLX7&XjjZ6lp@d%NkZ}L_MQGjy4{Gka z@Hz~55-}|j!H0VII!)u_NGO+*(z{gW@^)MR1;Q`->@gA;To$2XwK;x5Yg#A>5^oY- z32kuZj203fBtOxv)7SfT7h>U0;_1izsIMa zuyS$PE*ToXxGeVMio?3(@x5bZU=RS&)ADIBjjO%&()d2==kbNgo}Gql!abJtoXO+W zu8AoTup?c(q zm`g4V9mqA`bw#_IW-|G< zWL`F3xL_#7e|BPEsJ@m#DPB@xaP@q#`0W8T&b;mU zq_utAKY4G^`LAB=snR&P@$dSV+QCI~yBg$PZK1styvT6lE8{&o3H@t(XgA9;PxJC= z#k8F+zjgTDlai3I@_@vm6UwE|0g|f&3Qn~LD+cz=O+~hP>|fe_{p7n^xx#Zg8QtKY zb$uM|$CTgBC&^u*mMcr5t9L!sFER^L#}4=a@nMq$Ux<@bem(@c91f6ZMK(%{ z+-FQY>c-xYaFQxAL%~Ta&cE_|KHLPj>uzEb0R=>|J@KMSI1O^*%X!qMd}%kU=L26x zNM!FRlY|L~e!3>EiB|uo=%#1okl*Mx&f+Us)YZ78uX%YL?ds1Zy-);^0E|lqysjE* zG#c$2@!N53L%*nm{w!b<;ed9DxgB^)9fquM%$6EfB@ly{;ol*00v9yvfXQ0?*0ml_ zKpncA8SolI-eQJVfMU@>O3ZjSC`BB!|BZ5~0+K{*_((J+F}R49Qiihu5;v`waEmyr zEoHm>aP}hvoW?;5f&dF^>rp7< zNumU{v|xb0urt4SzA!sm1@>>~_y1 zJ)_)}^b18vni7`}WV0MLKaeDGI&zt(y?Fbry#RC9N&N#=>FVl=bg26q(@ug3A0m-H zsA&p;pq{61iah7wIvzcHc4qMxP!mGiBZ|#uzmSm1#hhu*pGfjv&vq|_*ii9tsIr(O zj}sUOiLG3K5K9^^bxmHj>XWm08;8zF9J}isDzJC}k|7&E&}y3a=fD9Z?Acg)riHfwuQAwjDV#WY=;`+)7qfb_9|HNtqtp z3JG>Gn4rnXqIZ~H0gn%@?@{oN5N`D%*pR>(pR6sZd)vg9EH7Vz%L3tkVLJNd zoJ4pIorr8^fyYvxHF4&K_E0RE=Ypmec(N&Hn;Lnd6y~!qGn#=xEvfUy!l8)Vth=N`TA!Ch}fB%R>sX@8Owl^_jKjy`nuK}k0F`Cy}5-R{}{ zkE!>L=lbpY#wk%qMIo~g+Ol_%Y-N;`ky&PTlq7_dt$|cRB4mZEkdRGTkrhQoMpjCG z&*OVv*ZsTC>-^)q9_RU0KA-pdI9{*kjI-Q)Jx6yRo&p^EX4np+=|x>_!9{mHGI6 zo$;F@d6)^~pQs&sG8cWVH}m(AHBzh{5bhLiy*PPJ8-!s-%xxC{< zE2ciW7=5^Qi|$;wl8?ZscTb z>_~0vXyV*2O>O?W>GWTh!%Uxpd=wUkE+n|6Z7HEPiP$@pkS6H6Z<^utK5y| zK9KjUtYXTFm-oGpw-EVk%CPVO$8W2R2pbdy(eJ?}|9&cwR<Bg_nz*1|)b7WE?3%bZb&D1u+D~oaB4J za-@tq&+f$VXEu_UudIrLqibAH>G*Zn@8{QU^{tiDhppc}Cr#tXIZh$VPcuE-%9Ejm zlkV^GaJXBN1Qb-2HR;8`0Er=#&`h7b04_v>bqmMRDbbzu6m8Wx-Clw0?yhQ| z5%aH9#f(^`8R%c`_CGq|<|bNpINe`)5OQbixtvfbccZVx`)PX%(lT;xtX@M3u!)P8 zD&^j2C_hnEm!9=@pR`)u)VyeSC~J4iW(iuP$W)OeCn$r1Z(N`UE(pzQEkv7$iPOn4 zks}fk^mYMVgDi^|NA!{ZDa!Sul0R^}Y~4yI`YI1PK~{s|3-(%5bRnU5^R~5I?7jhn zSsww)33!wmC~RWarC2GP^`g>ES>RppUZq*277&S~Z!<5+DT04{2Bqv~unnw}YdaM`@D2XjV`h)G$4vYJ14u9%61ogO*q0G8gHdk?cR`D4@~=g*y{+@>Hbq@6mO(zJ zpE)O!NUnsmCXqQ|hNXQ{RZ~L}UBEBlQE^*;IhC@mryf(=2Hi6Ux(7I=T;7irWyabe zP@lkxS*4g!<*?Eobz8zv|)gp87A&emEaZg5FeA(wg5UG z?q1&UWRdq+$WU%%A#Oy<72)$LJ6E6tXB#PJ!kcV+{~SqsB71>dzykjc`|pDg$Qk~X zZ}}zKc>2)8ySbybC2|@6<(KpDXg;Zk+T8xhT!MHAJfDD>K0VsZ*gY^K>nP0EO)7(& z@Oxn3g9(-gfqqays$iVs3pxQ^;cmp9;bDb%yBbhIFxWV4mzalUSHbKMPX*h957Gi} zm%q}rr=Q(|>hhFnbkG>&x-MaqVrgf&n$ws-6jBIG+vff=7xiG&m=UH#B*pvv}QYIVTI3|Yh^lzPS(Ht^dt3?7OKEuUUb-! zK|iHqe|;AX3+~ORpFW7kATb-9yxni*kvF5TX7$|sc2ZY+PvGd)Iy>rPM=u(d6qxPw zwqI2(YQ~h-RDbg{4FYcQeKholS>``I>eK(Br~wTpw0x&OPzFjx_-o}n%)jz=dO94s zOp>BN46pEnIOFc%y<`fubp|5I^G0+O#{l8vkA8~_^fjczRY-BOFk0^I=8t*xQWU^y{l#RSg0_ayWhHlYV+j0!{n58_|=vlynK^WQybV8#3d2$-;Iu z(f{thgp;)F9lAxH6vw^g21hTi#&vEbs>EX&-s_I!rlcOiRajXk`C&v@Gkzh?RIZ~U zi7POazUm9Ne8qz|hiCqzNiBby(LB&2#O&zvWzBK)=LJ@&BOD7~=3AB|Cv$LVg8rq! z%ZR2;GA%&&P7?7*7U0`IKV=Bvj1v?Yr#DgacVFg@0HD$XA0{vY-n6ab!osIk@snHP zvQg+9^QvJ*9YvAiQhV9Bc94MYS|Ni8g&)&paYILUlBz{|tZzQ42A>fCzY?}0Fy*8| z5JW#>DyR|$#`2zp9>Adv2yt%-^dzCeowxx=2^khCpeo=+)aq&bVOs^Jz7ec{yILZi zd?QkbV;n*%&26{mL7Pa`@@rkE9;$rC61!UWnlfPd@m%OQOF1S{`ygJguCC54dJ(bV zcLFmzFM6G(L5X`MglL1`zXxJnA-bIQP0&KX@NZWZA6|9&$#z@YENJYNn>QRcy#MYM zJowL+Ftvy3C^El$jl@1=MRE(K-+6twWDE+1+?dh{vH;?tBC;|}TBrkpF6PeoV65TI z^Tk{0vM<8{k0DCCCThqPp94Z^2gVBjk9>~AdqFUz)bK)Ea4XDcsji4W%=^Z;{t+wj zIKIBoZK(s5BzTi;*+*4Z0R?|tM41Vgw;EuTsq4`=S(iGnGcXQzAXPSQ`ag2%!>s6T ziw=ron|@z!Yg0OWm5ab5yZe(jbIV^Bv}SQJu6TV=U24oS%SN3iV8cWLtF)USW=B*B zp4{1wuj}4b8}*V0`CT{xi6QG)X|05(b3N_R<)hJ;5`lC#( zGR>;xzY#2CT|$6t#PIm#g3+%TD>~=kq#w@G+Uskk`X)L$dZg&VhxZ0DFYueN$JA7>M`7nWgdKRBG=*uD4_)_%#+O%_|5po;IpD`&`;+qN zwJ^MjTRFr#sg&exVjkMq?3an3 z@-+76{JqXkz53vG=TQ#-iI4tH#@DvWPlQ=~XufN3-;?I*x0)!y$f*S#YOy`9i9)|L zOl7HcamJQEbh|k%Ls)_553w>i!=y`xc3^j|0$@Sb7f=wv^)iTl<_1DR5LRf`cFp~I z`W~Wx!8&DF!Z3{yt;3$oe7H|ZbXo$27&m$Q_Eeor?l*FogOXgdML*NLI-W6{TDO+P zNfNQ=+hurplX|X6fbw>W{se6@veL})Pk=wUrT7e=GB{^)V>_YYI*wuluNt@$;bN2P z*JZ6J#ZZ|}%wCvE2%qD`L4(%^0+g>HVxyv|yy0Go5w@a5;~qVfE7%n9zd!^jrgESP zynFTp9Gb-VZl`-U%y_a(UyzIaj&*Qbl{Ec(1G@Y^t`1_v0w@!J&Fwb7|FT4PQ?#Pi z)R|0ub_d&ZyY!5*9O?H|&^{xvav9|$UJa{Nc;Em0_R4h1lT zrnrjg>J3)c|q1t>PmtQPoH<_nQ2wsl?xYLy5r zq6eb*G3;+v&f;G*8+LF4s-lBo9*_nl9&jnx+}GC^IvMDmva`orLBaR)E}o+xq*2(A3XqCp5uGVb7O#ghPM;5MNjaMJ9vP0B9{bOpckF-XjaZYwkyaq$xd ztm=Cs|7`s}0h>vB=3OIWf&vPMRcSQ66bP>Qw}|a3!}%&{Y(k0LDH)m9ZlX^NJt-s_ z)N_9SbZ9)KQOQzwHhZMTeX`VtWy{O=?y+9Q6X$X}x!hPu8k9@e@hw^9?kn8-r_KKQ zZeL#YBVrX#c`pCUA@2X8Uv3NnU_;Rbq#O@SMwSa-*;pLGTcUj%lGWm(A%nL`= zwfwAU`POBR{>raPazq}hBu7VZ|B5%NdH4OOndAZ)c`&b1ErDGS$cW~4m=l5CpKiut_ z9nIl{E%$j@<*vOxw;6$5OppG{V5WA6)#Q(nRE=7v*VPLhP@VleK4CmkImM+Z6x(4f`Z@&1>(;(E9ap?gvpf)=THAl+*Qq4o$M=NLG*A+MqFGXOlkL~(DixQ*L5oegk6DfW^e4b;PeFY+P)X1KmO1H zJA14>;_?fo~*S>!;3>G&^qH}FK9?_w}!DCDn z=*w;0dhWUIUR9G5<3SEvj*By!$pn86gA5R%dSf2XL$>I~yMM2dDaZf=$^a?KhKhMl zmF~=&Pt@uQcH2puJ9my8uX}mp@=xr&a-7t z?ZFcM{hb9_*3FwjJGKb?K5o_OCdhK6nOytbsl{e9ruK0N&oN zfRu44&vr4xe0J zH`aSblP73cl7w8G*I^^SHtNjwd7e7-kj}sjh5#mTWF#^$*{jKK%=QlQ>6J{AC^Wx6 z5(=S)CpMwYgTBj&%xd2n>g!3!%d-yKrdLC_enQ7dc|HHPX!_A&sISZrj=;PmgjHw$ zm=fasJ2Ib$*)bE+dPVx$yx^({bf|#b%@;R}Z5hIuJowEtXr;g>?|!Kp=vO@}x%_K=5w(##3CI$q{g+a{cXw z28H)&p7fGew+|SddUq;TB1dk5p|ii(_f(d#a?A31&!e;SQ5v_Ru4qk7KD$>3cKLFy z{DC^nGw6uKvZeKSYA~U_#X;cb4j${_y&2^$TNuP$Lg;J)sw|Fc&p1&1^xhHXbs>P) z=OoovdDZufh;Idw^$+#+x!qSrs_TEX`tx&J z^v#YZJP&`%t!{Jb@kxQAMuhe}D`0~~eYOXfC6UfL&3-)*FXz?yH9vh=BtrK;wO`Qz zP(|4Nm94D>Nkl!mdP#N!!BwP7ZIMbG6%_@U!P$v#Ugs;F|6k75i^dUO0#P&6>lvI-I2V&H9``=RsyYBZ`< zslw3uvadvPk69ATJUAl=MAvw6p9um@cAfqbaReP*&T$#9#8Lfu2dwQNXnl&CkPfJB z?WyPAvU_OR-itL6n8v-Gm#t;+BM?;^B`dG`W9jDa+2+KCvG9wohRC%Foe?;|6#bzJbwi*0ccFEdmzvZ&f@Dj? z%=!F)@nutKLZk3%pVQR!&Owy^hI z0?2%^_6bzqKss)}?Y_jP%lX}eVodr&sPoUCWzlypmoUy$=Imcyy~6PEZoT%i4xYkN zMiwq+vmYJw^F6MNJkzaWwectb7q}@w-WM?4LAWq%#M{hznv) zV=}gAL>eVe#XBrmsC>x`B8uj#-_G2g{2F@i)E_gmTStqJ4l~G94+K40RF_gbFJAGn zl2Y~GYi^TGGm84bwCf9=*3On(3-u9rF0UJ``t+Qw%$)gDv?{fv^jhXQBPL1di7llE zrQU8zesC^RUoY)0Hqi5>hhU2Lg2eHjWmoum$cS;uyaOrVu;7SX9)DsqtF0Y9a&PiS zfM(56=S!C#`xi2tqRTiX^_KVMJnFmcRm8kdz^hW zBklm3WovkfgO@v`?%cddfwA2bSE%2K$M{#>=5GMdiS`j5cGa1G(D60~=H79bM28q8n}jd+ zbs*0dj!(wxU104n+dhAmWZv}$AX7-x<5=^zXy;V97i{CXQ3SuBLe%~TXXq#hhG=cp zNi`|LF5J<*^+u<2q0^8eqOjV=Z^glp>BeMZb3MC#`dkeA^n3eDa2G0Hdl4vf@37G8 zN8qI?d1I~8;Fmxeg>HqqNB|1ZOp)B<_m*@(Buyihfs~WZKZzDNRfCvVzlSE*HsLTn zju?v9 zvk!Re-87`>D|;4@P3pzW-7u%0+!ADPdx2E$o}+hMSXzR}Sb5>Y;gn#@Xy0}(sRy4tDA+1o z$Tp9&4006R`cx|TpJg1{n0KBQIA9P&Fe`;=b6}rUg&tfPZx1e@{9TxwtQ2uz4m8Zg z$IF1aa$+{#8OO25p$x}Z02|CL(8aF3`o*Usv1x62*}alh)ToGx^A;-B7DF#jXO zPrb|=4vTZ%lKc-FHdyUhP1Q_)Dso56mj0**qs{X@Gnd;o>Xmyj$vv4iZD;lmq#2Hu zavUtwnl%u+B%psWdC261)OU~8LhmAdIxhi%=mqmMhdQp;uhs9~`>U(;v&e5>CIj7t z#o9NfyEi4gR`*Y&U0oiwbzHB)zADEq_1Rp*ax1fVT2R*Fp5c7shfd>Dmj%z*?RwZ? z24U^(h#abdS88SVAL{!|UewV~EDvk9H0@NH+*$(A|JjMBu$P>U{@m2m^zu);IFd?d zpvW*s@fxXBEpQwN!_>7iGK+Z80RR(YAX1 zV7V9gw1X=Do1i!dTN;u=Obov`2#}e~7qlnOUYdg6-A>Eb{TRi&WHH@S194&^k6CZ- zg4h`OmqN6ZA~beSpQl*&790fTPufh;a89Z5;J`LX4P=X?@+Xv+m+$%{qTo=d;=Ws7 zoOzA8`?-Mbf$rLauZIEJFtE?;02lu&8?Vo}O#&r>h^7Q@tfS7r>MOc!r=f>=OI`gO zz<=|P$!dNDoHLAkacl>-#;t z;rLOUkUHU075yWFuMnV>IoQ5+e|Q)Yp#HSL#6IuMc(sy0_~mA3)kp>ik%M3eL8}qo zfi}GD3hxf-(YRQaK0!)>JmOUAmc(BB=!V110uk8}_UdCR8`ER|HHx&f3Wfm`h_Q_9 zT3pe5raf4`wwjf2I9L1|SO*{;yueIG{tl0f+yb|jNyl)S25KB4(5hD z_Z{x7gRhqGA%x@5qWi9@XWx(K%@oREu>MC$lOt9_a=^RMm%^V9&>|cCCCSg9SEB8L zWWaU{);dQm@pfj%oWqf*EiSYFo6`3a=63(1;-Fgjhaap0ZB-3KlY3XfMz11(t$wm{ z0xB%cf6&G(kRDE~il?jm>5g=N{`?Gn>JRmGm0#{k%y@r1D7k-!0ecVS`Z&7J_tkgO zTsW(;e8tvxOOKbuT=4e4*F?G^hXDZvr4F56>HD0nD zLGEV~9+NkJ1}T;QMc#7BXMS2f801`;Ig_2iSZ>n%uJW~Pe3{;Dn&*mMznlt=cU`^~vb3?Bg#(XFXUGw9IUsP+N^`mz(Ema(&j_Nz6vX z0!49f!3{}KLknvhL#4HzJATrbUUUC_MsPHJMOXXNB4AM?SyX)Bbs)yrtD7I?S2i?g z2+f9WWeldmTg@ArMA>(@_XK23B|teT<$O#<@kf2QAdn&jh(a(+%^{Ncmt?;OZgAMqhuedY^NoM2 zKNp^9J)PcxSGp3S9myINK*dnS#oh~b5bZ&&Y-JfdWr*B4jAO?iaIkZ-MvRggHr^W0 zNZ8pKfIOc}JoM}YLrN)7Y`;IG6c7J_$h?pwu%S0SZL$l)83AvcF_IF@57upd%stIE zDw6>x_~{?{Zd#&ptJ%YUI=ZdT-NQqL#Qg$}aPfbk+=I;X!U``-< zN;JkO;1mEzqBg){mwjKAkDp~*<4|6UJnz%bPm;jHCWj-W+c{(mx7_8YYxn)2Q3^_@-ZXRb|OGtD4nMQ57&*Yvw zJTqji&hTA%Pg2KACIinAaprmZ^+!EujG7Md*S^}^`0K}9Y;ojJ@m!blczs=96W-6= zk*Xy93L(f!PDuaI;z0ZwtIp`R)cpugMj^48gTrcl^DvC<^*n8+mFtd&%6TFpQgGSa zbh6~^4ulUQ{rIt`g*SZC994c>C!L~@_|$&B>b|$^DwVoo%tv zmFds_F6o&7Jlphd^YFRm_QLL4!jqO-xXwmcYw%@V6=|cZTvYFetr5f>tiBBIcO5n^WbJ z-j2#9JQ@^nVYHu{n}kpsCn){DA&~X41Kh)A2+4 zsSiI}LO256zNTX@@EF1A3^Fnl$xVbE}QvqY2}T z7UUUiWoM^Doz1%q3IjDs8S0w@^6B-w3f`@`&nXs)Z#LUMdPw}<*)-?bN>>iezf6&5 z*D5+S!gCJ)*vs!euQ)E!=k=tOL;XNwjQf#)hg_a8CphQDwXom6-*Hcu_d(czRjq8N)Mz+ut+o6%o-pt$Q1(F%c~( zxk+6QkdK^bGX{THs(?xKgsI-yu5H}h;pm4;z~7Wa`9Wv6Nde02Vb98qHiI8ULm^LK zXLUsA_C|DS;Nph2_0Ay?txu%yx5gO7fCynk55Y}6@l`clNH!qw`;1en4Ll+#a;bPD z1LllmnObabs;^f>>=;oY&ix%?pT_&=kCh9|k!wf>v;+w@J*jTDa|%9)>msePbI>GP zP8UOv&FhxK#>MwoJs!u$XSwTM=9b4iTrV0CZXoU4)5``iZD{eH2Vz{JC%u z?D+%9L#t@h&f3_uACAybk9d85E3%}cSqAlmQ%I=d$ml3>SU^0lf{-|9jOyH>f{9o4 z6Ds}HEQ2h6#QO2#h;sT?zeB;1*W%;u8u;o*q^dRJ;Wr?C6A+8C&ackRRn2jv{I3?k zWxbZ$TZ_&!a;TVQdf|(5k%)jD&paN1yo}ho3VZp(;o0*8OJ`FL#RvUwNzES zp`)O++eu9=S`#i(JUAr5JA3(pXWR)N)J0w94;;wL0=2yPP9g!iNdF-ecqHkFB#xQ`wIemexFvnD&OQTA zP258;;?=YbydwF&tw_FHAG?*#ef=IvOWmpch3B$oPMOY5UBXo>X<~^9m}#K|{}^R! z8O5WLo>yB==8Dpi5)tzAf`Nf`yY`DV>)U7bRaI}RQF>ju;$&fEnHuiIR=~oP z^!UT8vy1Oz!;4F~7wXc#T&8dm-NnSn81ge6WjZElV$Wao+Ii=9V9APXNns2^IBwW% z3fKjAeFkr+pk{^EnSS(dj-P0~gu-PGixd!rq;7Djuf$`Nl_|6h9RZ|~4(BrwL7mV+ z+yjDmzTNt(udnYSTg*yYnWEn2gg%0i9Yu18{U>@tLUyP-{zS&!d)EE;)ro=^;-<># z>Hxh0TpiF|M-Q}#Hf?&E_3D)}`s(mXG|jTEp&M&oMTCV_Q!OyZ5%Umc{t8$GFuS6@ z0?C+&l&Qw7Ahjxb^yonH!#&)PMoCFYbC$y}4yo0Rn+SNUofv?a8SMJ*ax>vzk?gV| zy!lG>ia2z>$CI)-NDpLwdqLnXc8Jcx^01(w(3{Hz3a1;_?J(R@j3bPH;_;^0FccZ$ z)6?P_fP4aR=PGFZLOqGfD+?Hg;!`ODk&bAAje=|uDAUnYcWbArY1q-aGY5mxE&LQ9 z!<7lscQ?nrYPe?Ea3EWb;dj47cmJ#FkvkW>eSVv&=%D*4$pU6UY6`>}+Rk_5yYO6| z*^N~1V>Kk(6(1W=-N>Z!lREbV!#~6ov;jqrx}^uW2U3GUrG}Y3>oTVQJXO?Xnp?hRrnvBL#e0r&6l&y65|7wO?y<&-Dl(4Y`=BQ+2^{%BT z_f@jH)u(Xg^vyVm5rsvmsHlh!jhc*1$oL>|7WQZ&se&U*G3~TDkzVFq+A=%tbAL3P znLd&tJL>JVM;qwYsF>GhaiQFnr$-484D~hR>)96up;FnWE^|7mZ5OtHaPFhx%VC_t z;;@1%v`A;_+v(PZJ>D&LWDg=mN;kAij4vQ69FruPih*$!=2u% zypX+zF<3$QiudEQM}(e)-*i58^a?8yP^bs+PZ1X@#ZAni5q!6>5PuEfBxN_74swgz z$0)ECOIevQW2jf)ey(fd^4Hu;+3fQZ5LYm3mhJ`S*%CI$*qI~TKLo?zg@_+ z+_ZB77NXm-3eaW|xD}3rDDTft+P}XOH{Y3lyrz49U~xvRM8Bs$EA8jI>#lo0-c)9>=Ebz>KW5`aA0Ff$*^|Y4@o(!TT+^g(bh>8oRtu~(=n`uS^;MJqU94(D z?Va(Q@wID?3cfjgCjD5)48(fkl*D2Vf#%p+#4dt=3 zj+9x5BP0la07XJ#KI_j3hD|4i?r!m^$yxt(PcX$`Pk`65sjlQ}wu3cPqP`DO6e`_B zu_f#O9H{l9xk z`><9P$_a4xi~jIldiicq2?t9~-D+7`Sq`>83hDJmrlz|{nj{)Y!Vc|aiYmgp2xQO{ zwP~gMTM+=W+eBIOV={pHZClpCC<(HTC}8|{KG-REhez58FU1(NTbBpkYH_K(VsE=20yMa_CK}6S~&=bqrSmxU4?v)u{z=i^7lXWnpz=W0KI3RC6^U*fn z^Y8MJnlR3W*?+xY5;CKB@KQy%p6d5rGFIjLFC`9);h^-oWOA$kmWxWSvRX0Ea$8k5L>Lf}2$&su0y&~J2cVXkjxiOT` z`>ak}K;vaK#5@rX9@MCf=p+6RkF2X=u(7eR-D62hpkxGJR&nu@V(Gp636RjB(c}r< z0s%3vS-+{zO90lp-hldW+g-bvj!xuSpQzR&j`De?p4e+C@b5*r#?kJ1P-jUT6N5`= zSEcW>Z*f^vBss;ccxslHOX>Z^&$8XwY?xk*#VzxE{yRj=o*Y-p)F-{fV^FtMevR4c zelA=%HiY#n8nBOm8>a~Lmcs`qo4ydO(y3DP{#{sq8$R?uQ-$PFG%z&uPZVtar7~b` zr9S!=C^>eP8qEH|Uyz|h+*6pisy0QY*z_cybam(v1Z5^kqe&^8c z9leqc>dG38%g@4rb^sVm^)q_EM-#_tWcjDcVIs7 zm#JOj6N>zlk%%Oa)9S;7TtB5#nv>&SAWM>ZW)JcLhAV;H?=U5SnSmISXiOuXK0WMt zAXv!{ymBN3c>k|Y7pBfkJUkdilrLl2ow?FH3^ zg_V(lD!OZ|ilG|d+o4SX7K-_w`=!Kur~2v_6|pR(qz-g_TTMM>^6koc3W(}>s8jIg zz-E2-H772zx1Sh7!-^6EDk03#O2pR)eK0Bh;Bah1 zl!|lI&vq7^5{QSrm&(Uxp5-rhmE(vx6|yw4o^Trq^WrK`E|jAH5%=i%^A|@I4jw)% z5ZDDkHqMA*o#|HfjDhLyp*J`R#q6$|$_i5&uYMHODpmd*s8Hj&MaZZ07e1>ln{lqV zVY4{|;uA<(`H!q&C&^-`u0`M?Prqe|PBPvLprrmVi*2Xfu(KC{aWs=PPAYTu$(;2iJJeu;Tw_mf~TV*{%t?-YA9uvXyURFi{>ZwSLQL3nYo zX{wL3tH|Z@UhM8_`Z+PVVW)hRh4;V(`F;ELsrqCD_wV&O&|Zs*HyqZa%2PRG<Rm#SNK#>qsBSZn|!gq`8t)DM`dx2!U%`?PtLqLOJPh% z%;@)=amua?JE9Pwy`A6PI+|jK zGT#pFsp^QXho)UiwPpvO%~Yj!&7AWw=JY<2&FLrmn8fX4d}l9X$gx6sHf2I|bv@#_ zfOpT5Yy&)#P;I=!Nw*E26H=i977{}=|8x!{f{8u(0cY3K-VC|6AWp~pZ_{{nMT5!i ztk8mk=U))Z)X$>q zNhCk!Rj`5GmcOgDyQcEr_Sg>BghoOH7{PakSRTH@UH0mX?pA2pNkKThKjg0N&OrEs2AKz}7U)QqXRreyl^X(%iF8rjp zIc7hnm@PNZjc{d>zk@djJ$bTl4hMnaIrdCD0ifveczV_hJR2^eSF}jqP6Dq3R;!*` zD9h+a>=6!R=>TQc$WYT|vq+tVtW(y8+f9Qv8z3wuq_7hOzT> zI@;Pdp(>9qM3wpgtG#wq^B`;WMEzDxDJ2>twhTew|U zepi&IF#!Vi!z>xS6!sbOS@8NA7XO~gy2WoY?~XlHezR(Jp>e98RyUKm)~Cepo9h*G z`|10vokJFXFNFIHCD|Cx_O@Ko(K#PHn$ zv8Bf47qfG7U$tD!=y6RVp#B*uuOcHONn8d(Pd1>j2yy_7f)-Fw5v1^m>{UOg#n{B| zL9ww5iHERI977QtL;wJ0g)k!7_ZEcS8p;p2|=h} z-86oahL7JQ`>Z6cu zdJmhv8C18#>rQ?iCnu>%Aw(gB5Al}V?h3{QT`TtKcy!2KO3+h{!2@}K)_Y4h=iht<$XM zUt60kE}Pox==lg&c-GE_dXOk_h!KWhki+c2cu?xtXwe(kJ$YJYCO?Z*dZqd_X~rB* z_!amTu>qr{jmbx)rQ-@)@)mS|zq6RI)A2xQ2r)q6t;6K)i$m@i6qb02;bJ2UYc_Hb zVTZtsz+`|u65_ip_)dbAcs!@)-ILGk+wr1o!s~WUsL6G;Wca}mp6rLe#~i=>#}^2q zAsK0o#<^v4XeRbtxDMSnNR^Yx*5h|@7@myUk39xFC-j-5IR)c)5Tbg?4B7A1d{Xj* za(V~bn0pu1s>O@v&v%M7A3`xYP^BY1K^?YY$g#MP?n3#+4&AN^f_GTu@pl1uSo!&B zW?}l%?C@s==fgn&5&RR_w$xH&<>~G>n6{uY4q+1q2rWscqiGpL+7M6^T7%zj!;+Z* zuZY$47dCA82O-2oJ;*V5LdedKHDxQ1E_}g$#X~6uc^5YmpFd6{B3V476nh*`Ih_7b zxQ1YBj|tIcvbbjq$trOf;;G*Dc;+mn@=IHrh|83RR_a7fckL2*Hya`=D0Y6{aXfG^ zaC1adlplUvTRB1UkaLrq(5mtA*59KMAEo#oOI?1VBJ?OXN}cbCR>0;x{t^qhPv@h@ z+^+ik{>GwHYsMG$fMH3+TT?BWk@jxTcvR)4J?h_vamZnFRuK^}4DspHPVcTh8MaW> zJ6xBm&@FO^HLs*V$!9un?CZA>`OH3{Og&e7&Q<9r*JZbs^pD^C-W`^}EzZ@h1t5fE|w;>DD63l>9919DYG4YH339gPm& zhzmzaF`8S}^CteaA{lxv=Ht3y3z)@66zoVot>;8$q2&2Mv1%ZTP)dlde62khmGpEn zAQWaUC}^xiGs*xgCJKz2w_~IM{CGCH5jSPOk=c%~xM(G%i7e6THI7?%ErgmE~B*+9r61XbxI2 zJmSKH4?bG60bAYB*dN*>H~xB}j^pjghCL4(2=VlE+i>~aN06p}Lv zgG<|U4Hg^(0oNU^tWJb*rI>0sLqzjy@i+GTNEdN52;uL>SegPz(-ibp@?|C_CMm8e z;$A{;7YI0|3%My|o58_RjXD`$%Q+qFN!vDIY36qq-wEQslKtx;X4h91z_V4gw5s8ux{Y%< z+S%`*iaD+8{93?P^>y{xi2gxZtFh3|`%>NvtqXQ3EkCLrzHx>Oj4VJDW2Fk8E$$(x z<@W*Q&Ke{>Y8SpqPQK+y6X(i}ml&~v)pZJ$KO10rAUP|cY~Sx9FGJl_2!3LPOnp)p zkvQ@9)2XA?5bsL5zv4DNt)t_MItX^YPb0(7^Rdcbe>1rB-MVW1JBP1OmR>CHI#N7d zW8E?S+~X49FDKL&gwf>h#mi|s6?`BNiWQ?bPLxfY_D7mt?7gujvSrkTHe2Q()AWj0 ztbE0V(>AXSqLU{^qstyCrnQ;&_*^yv5<-1`PLag7V=*}9RlkA3^YfMSI$_pIpT92V ztEkF83~ZMBJs=U1bIFzCCBEw2HuO6ieD+1S1c)UADBjgZqX?3F2tG$A*X)|suDFdq z&l)Pb+utejvV{CO03sJL6O|JuC@E^n`nL-QXMg+Lc0N#Iz1-}@giE3I;zh?r;=SU- z5!9A=&V&i?MF5QanlVC^mLt^cs5d5ZM?5evab7nQ*2%!=yy*b-89HXx@#p(Xe}8}U zUhfA4BkAFK2FrIb*F`mTwzRZZ>h7WQIgDct;<_s6q>1tqBwiI>MciDZ$vs6g)(%r;kAgeW?}QxXNEYy-0~n+$Lm zeCE1f?5^sKEKKHEqSmS>Ca7cHsX+&P(=150Kh5iPps}fGk9VviM-gsvls*Yc z2cHF0%6!PkTB!Nk$jH`~QT+UqVe4ul3QT+dXNi`@XjJuF1V}e4!K-55Mx$ zJwIj^k}O7Hx{xR*cu4dfw{T4#dw7mV!=?{{o8Ae&%J8FS^wis|t)rvB+!R1kdjK%3 z{JvVDe%_~ZpG*L$}L|O>Y+dTsDt3pTh{Ve}1nRbFM7%!|s+G(D{hqu5yR|}KS5zq{76P=-@H@hSrT;Xl> zdE~4|zjo9lTE5Zp3^p=)4e!Ot*gD`QJUM9HN%}K>w0B;v8-I|1eXN3Dn!d6!HCn7F zj*ULM|3AbU^Z=8*_to3578#XY+X1KXh6EA&?5bGGKC0loPfzcwhH#CP2}ZSk=;?q5^_A|}*>Hq-tUIAY;(9wqLuT7lxFcH{Wn8qTKcPN}1U=!Nx_S1B zqPb{ zH%g4Xllv!yrbq)LFr3m_Qi2O8S@~ao-lcGb-!aY%t$R{O_CM84;nx>KY!OdTe$7F5DnLr&Td9V3fh}S`xGJ`H9K9K z?w8ZCGK=aJdrqIfR-zrcRjFwAukcX=p}ic3Y2P3GnbKEZ5fm+vRD3>EBCXRYiN4HC zZcX}W+Q>CcDvcoKLy67C?0#`2PR%y7xb))M9ZQ@&vXw1V*m*K_|J(k6ArL9nJ!X0C z#;;LFf+*;+7#RQlsxi9j+x0G8v5eIdjtnxe1N5Y(AU#=Rr2+_wy_+aV@N#LJm|S-G zbKyDgGh)XkF=^=J5S~r4Aw_|>x=vuezP;p+s&WC|ya1mE0CITY`*fPqzF^Q38nAYv zTbGYO_@=74XaQ`0V+m=+bVLhQWil@gzFqN_g~HlXOXImNkO2RXR&<(frQc~Oz#0-3 z_FYwWj5ku1D5vKnWYog{P^titdzO*)6`&6OeuMESGv)r{0GXh>Yc~e4_iZd^R6ZTMXtv>%e7(xo zq;-~MLPqV|-!+`+Qi0~dZ2sR7LzsNy9lm8h?7Cab8+38AJ?K9oB$;`vpDuPz|Du_y z{a0i8n1TLcca0g@{0`+pZ4YgVjMTG^d8R{86HMq!0q`S^V$^d#k*9%1v+j7g17{;? zxy20^-Mc0XbN!0GoD0*mis7dxpnN^-Q>WB82nI}}%Cet_Kk``1nFI4v!0E5exmB6Z|FFZ9m; z%ju*#$?#v@ned1ee+3JGp?n$V(>uOmpky^>g9FutZ#9C`+aj^ys-xN+vIdWI$Zdp*g%*apz zK=fHaL?o{!_#7Fu8)GWl+AZ0QAtWaDkFXT{St7MUjA-<&(Exrb{JFE7pfh?0 zx=~C%W;G!@{~v~Imj6{ohUiQPJ-DtozK9eXL=Bt~sy{x!WC+$D1r{W$3j~v6nPboE zO#tm!B`$NMc`UlKYTVc`7BUPJlGlgsM{lP9;9dSdZ*xvC4qEB*BHRO|X-_`g_&pxk zH+nK&veGd8I@}DAf1Y5KCit{tII@8gQgu^#aHplqhsvfP}VXXo(71a`X5ciHh( zFmuqwDxLpsatgmQbXhP1!wCSjh!aetxdX_a-Y?ml;|%ImLk6kKFG|-~qJ55+KNbSm z7Wu~vix=Z5M=Y_p`S^R)v?A1>^IaqKAC9+gtWPyVxv#^93jI~T*1%YufP0m_rg3+j zNx>1?igy+Ix5v6Da7sk#3|#lK(HuO~!HZ^--KXgfRWFvoNcVyf;MrWb+k zCkzFCmPSaWbWfPq^U$pM1#M0?;GeqLd{4$Dk2c4xMm%KlHT}SW@MG;Qmz?K5h$&5m z)Q-A(n5hn$-}2eH;mmzDN41_ohv37vCZ+U!vgcaS@eeOJ*)O2AK?27QUHP*Bj*oeFTY4N-$ z&@ay2baf_f-{GYDj<%B$)Oi(#Mn(rbxyXGn{`6GpMYY_ELua1-dpLBUeLrX+3{s>R za_vVV_6Z=yj26dm4FLPFH#IU-l$ZPe2z&2vF8lv~SfPll29=2H>=~hqWM)Ok$`+E5 zY*8v9n^cH|%uphuG_0)5NXSSbn-KXu&d>Mry?@7j+<)BHadaKm=(@b$=lL4X=VLwP z^6Rr zhqSrZI>hz^W752LM>NMkHk}b9ZFjsOxm)vjH~1MYpZ2%VeA9Wd7{Maf|5G04J%aPc4o|GM3fSda4~tQkd?iydGGdYz^pge0YZ(FN z;g)3wU!BKd^`F7_sFDApnx{mll1i9yZ*VJ=n*+bzopDWqtPoOEcUYX{|;yGUWp4)Jd;abr)rW;X}ht} zyoMAuXyFCQ@7Ko{RjHTzbI*=hE|i7y@b}6MZ9bGq*Lw1XM*np1RCjAI9aMjN0;ujy&zTL}dAmSeYh$LdOgOjp&#i9^9&~mg~AC;V6Z(iwIRg z`AYf7y=80~j3X#CMu6rMVV-D#i3C-C)AH!^ zol)tpUq4`CyG6@-4-Ep?0fMkY>qeNvfVh4i9li1VxiD7s?VDS>(lO^6NFrL*5w!Fe zYN~>36raZg^PwQ`A%&`68S=+rs;eL<@nfXp${^k!)U2;V%05J=&tYhU0*oDqIT8Ab z+G8F!n1|=QCPACrxkEure{r}gK_q?qF26%L(~b$^gHyRJ66nwYph4t+?;3jx$1VC# zXiwT9`8(+3YIy!U+#qjzN0Oa2FOD z#TVP`-(KJLL1`7k0Pftm^A?Jwxz%}VoW!L{Hf!QG+rInh7#pj-sMb#VaaNUzilB8! zaGTUF7Jt>la|eKR@r6H(J(*f&Ro?U|GFRD$2(lB?pNWwb!OEd@c*XS7tY{C2C|aJr zZN<<3Dq%vxao<{O10rJ&?v%G8nx%2#wsv;zqJ5;Nz*r8CkB7qMLbwyTBpA0n#);wp zpYz(oUvKIxBg{0D`}VYuQ|*6@uqBkT!hJtraD5Ib&kL8YiPl}05b|Und_CpP?aeBL z=y7iKCcPo?Y@_m8$N|Y~4a>Wot%MY@hCqIVLY~9U!ErOLA(|G)(7oWK`6Vm5Nslbc z-cfvnhAl=6<{%7<=ur`)N7Q@>e>y(l=I+jJ-GlpBt&&;Ph5~)u?pBYbpSsR{C8xVK zF$9PhKxf=`xa|C~zp1aWxblaPC+?c30O`@>>IzR*n)@+G8iUAgxS1Feayb&IWa zM)*^lU%32?V)bXba33TjW8l9vdy>~Y4A!5y0L<4zOgf*F`R*+#BZ(SN81PYxAP;fuzeWl7@x}?S=h55~TWNW+91LB5RR}tNi>V0*BnEmJ|wG z-}(v9Yg3!BM%`HSwOXA@-BI7f)81`%<;wFMhjd_*-|-OqGe%@ zR5_Ksn3S4&Z*K02KQg6Op~8<~IRp0|B0%6xep-7C!rXcyM;eq9)F7kyxI0)vUshzj zKHCI_<|LSc)T4dYg3~4K;*ro2Q}l>Dc49>DSdQZm@e zJDodoy)gBQilHPLG`L>?vLAX5iJf`do|UZ+w^$E$K8{o6_)q#YsVff0XH=4q&JhVE zI5d?HpW%0YLhqOV4Q{6cPRm76)t0Z&e%_enWT1re==wHN!qf=aSC@@6ei&4x%@vo6 z`vd(|n4vL6GF->%#MD$c2I(T+jLh906Wd30sU5aIRl|;jA98Njc(*mflX%iGB~uM&WW-E8znw*p zp2OU?lq_7nTs9~V2>NofY&7|QuQ`aNfHz~$jRAHSlDxaiBv+$s9YPh454{HOfN z=xAN}r+7l}QXXS`v&Lmor8O+-WH?`ph52r{(MKEw6LBb7%{{JdXle~1+lyq}Fg(+^ zR(5}3k2o+eaJtbFlpoT*Tvy!qH{^sFc4H<$4)<n=Ohq zmK1V}_kiRgc+V;pfN;L{F;_qiD(tk$ejoB);m5eFRw947d%d zD1DYL9$F?PC6(@NUXq576sp81`t{|8dc32C2??j3E9eC%f zmKL|QFQ2p?x1#2Wm^eamPfEHn@I%8Z6jgNa?K2uk7EkxT4A-}CE;0*vGLIJ!S*9DQ z@;*#`9f~il)RWTE#yU4T2fP^Q=&nQHVvPfl$SKDo#zb>f@u36Y!i6RSuuZX<4s^Bz zyKdw--J(7KKR4ZGJt*FEg|#nfZ8`;?i3uke_5XT17 zYy@#~BWKD|)+p$WtM8+N-EKjL-$3$fw>d+IN9h?t@~8PdgHNnK;RU7+5ZKP^0Mgp- zf_;3<<~%PsPDNR8;YyyPo+i~Y?dffL|CK3QI{NPC?-Fs|e1o$(I=@;1QxXU*JBerC zRjmWs=&iJ?v>~8?Et9mu^sMBHjexv73&fm|TfKu<2Y4Y3@GG!Wgq4cvJ?M;JOn0+_ z)#Lvfs_wiRLCEd#x*A}v?PFI{FjfX?nd{)@iI8i^M==DQ7@3P3idpFkNHcQo8Dc;f zlo>?OH}WmqW4}~;&u<4BeAK)PJjp6T7k1wxjCl-{w*XRxWI2kiEiW#TYIP#y5cKK) z&>0~)q^{sfP!9#%efDt6Bk9iJKjKqzlewvI0YmNnhO0k2dx7^`+Hl_w6EQX7)6f zWE3)o;aw4^3gwL;gu3s>1Z=INh&{XM4ZIZo;KN{RGdI;a817{+fM1i=6Qw4G;`l^5 zM;+w)%s@gI*{c4Q?k3_{YH>?TZ|1^H$J7`qZgHT%>i=U^yz}a@`qPmY*GLHUjbmK% zm%4k;E&YlpBVQ63LaxbQtbb!_z50v>qELy@Sd6>9vN8)^JDdNIr1Oy>a&mIF6*v}m zuzmlrWKkDq*1TGK`76w=!!k_wCr$(OjfsvvmC86hMY5X4I8Etw?p%Cd8ImcCvvcko4ohFFuz#NzVaY+ax-R3vEHZ92^|5BT z=K|MMw7>y+CMH$+ul@b*vVW83L+6j!)tP%)^{)XbT{r)=i8maqOvusrgU6L8RQAcV~rY7)Hy^3D-<07F#g9% zb)?rHiNU&T_uzi}uLFw&ytd9>^8f3?vgX<9ee>_5U&Q|}?G-~gg%giVVt-$pkw|)u zKRBr!C@YB+#0oCtU_fU_*n+&R>}+h1N%U#>Pcz5i_C`O{l9s5B=jP_FYjPcJTti;K zU2JIg$vfIdp9>bMr2#L#LM@5oj!5Al)?36jdOTKTj`FJG&Tp1^hg8 zep|}6`*Qn<^7Kf2PhH)uE?orq?;bk>JP`eKzch9)F9ZM|W1b zlopNRvVLT}zP9!qxbe@sM1Eo2JeEJo-l$ph@paj(~*i# z%5ygaxJ|ufnM7OXJ@=vFGh*12OMsXT=RF|r^u3wSGM1v5OVaGp$&v7iAZ~m zPfWzMITtiyQ(s{x^_m$7`>z{PY(?eFncgo(ZL&g_7HA$v;Rj?#if)>3rQ8ZIB{sP; z#-)q69vXMz);wuj$E?2@NyzlU8$a6mb#jUcR_D`lQ>&?4gf%9dur}rhik32cd{zAQ zX7n{NKWl2cJXd*TbKBp$^G@iAU3rs3ji?NK@HYm)jU zB7#OZ$o7TA>@;C~xc#NdtJz|kZ<{Gy)#PJ#HnAmfpXLmc_LE#6a{U!CrJk^3Dk?k1 zBdj7wTWc&?PqNM=b{0-+IJ^|KfZOURXl8sTq^V$ZY6I9AufXYP#!Ohh)5uI zF4h!AGUhjC3PRn?dC_+3-=8<+-0yMxe>mZYg3oS>p0Ml@l3X>*4tRY>`pAA}k}q)| zp~n7Zu0F-4%_)gkgIn3z7e{uUlH#>fG}tzbt0lLXD<8&L)CH&hNpg=?RKPr>Bm68C z^rAcxoff1aly@1IZtPH67^vgrUVFELGpB<0nAbuwz z;seB97j>eh<=y|xnCaOM`7cHWUvvibwzVrrw`s<@~`Ny!7#VrJp$^zm&ZaO zKUDzP!CGZAtoAK*30=2~|GdPJG)m-|ns|vwrgSw{eQW!?T+v!kF?vXglr}A4qQe+3ul<7tn}yV7e!HPQ6TDuYxZy{K6jLNMv+Vat2C$jlitgM`}lUt z%j8ZG37R3{4@?RY^$T%Yj{$=D?XGlO9uBy#4##m~&L;U;rj+OSe&#l&UDBoI{>F2LG4Vd_Y(_ z2wg5-t$7r=HB>&=Hxk>9HiU$3?buFAIuF$^p|6)}7R4x1COQ=B&tdO>BDBkSb{|`S zwwFa`5<9_vd_HRnH{u6E8_RM5An1pqp&2~)1P1`=l6~5Fy=rwE-M+Jpt(tAO!^5cv zE6XXVWJx{@-V2&Qc%DioMpgZ<=yz zC|#r}OK|eOh)yZ@`Z2@&Q#cpBx%W=XNREH!i&53QHH1{YE8=JRSngaud(a9Ym?WOR zQ-75r^ys_y1q_d5my=7`BbbvWT!`Mrp)+eYNy_wfkS+6*^M%_1wC7GkRX{*|~!+I3rbVAc58z z5=WzIUx~FXP_$Fcm8oz&+?NX!cDVq77@m52O@JRR&DyD)wuw->zCIzPnq)64YOaes zhc@NwBk0k3KO*0g)rO1wf9X<$?d+b^eG?@dPKvWM^S5Zg7;p?Jp0+cr0XAI@;~?x7 zAR;*WScAEo@LN8zoq6)luPo3HlZa1F{Dm@usB~axWB;uL#u=ZBaD=*YgwbifW5=gP z(pz)dNmj)6k1>JlRAw}N^7%0m4KiCph3%Glg0e+!)zo;S&_v_xW1&#@-#CoV<&soPPFl)|-UH#F34)#h)EdsV2<3#*FJ9+2e@9?;d3;#u(>XACM=L z{?j6LC@1D2vKUn#q|&^jt*EYpZu!tICfQIxV!H{3^=+JU&OxuTgdT z??>A)rfktPYrS_`IWJ83&8x~)X65iGqz03(KcCBTwEP$I)!Rsi zhLT75%$e|}i+bP@(M*JF4?S@1gwgzciP!H*S@jhhcKH#RF$C;`LQL5Ci!k`TgSbEH zfY`Z##5U?=hDcQ{;nrglK43&7O9HPx^#gkOD&{O(XU*39S9pmua@;m2`Z07y7 zIIq;aF`eU6^STQt@%i;%$bz9zKJa{s`lb-HTApfvbJZE>@B zXVb%Fv16qjCHa@Lo*Dm$PUH<{$jZ7&PIEjwnDp+RkRx%L6VpSi+0|eFJ__KvxiI+Y zk5B8-)Y988d(3D1odSCQ23qt{QS$q}R@Lzp;0xO(AnwxNRj4xswXF0-b%bKzh?6>@ zviCGXfrxnrxW0&E1-m67J3jWOG^R?l{59P9XTT#$OPj$qg;P&0#QmbFfdQxAjH>PV z9tC5mu%9K|72gU*P(_ryGR8EO-G_S2xoicxln-fq|EDhWf=IoR`6lqn4FQn9J4!FS zaEMW-g0A~1pU@%(sJR2$2hg4_Q-5x@Yj2k1)6QQ|<|i#5L6!|%6=55d9U3hV0|HXZ ztLost2&f6erBA)&y^5^xQv1=_*)}CwIgTL@Y{9CzcT^jrtXq~aOyMV-ZasK;Hw0W+ zk0M+FAsB|yqRvi!yNV)6I_O{3q&e;|*_AKWB@u5S0Y2t;<&saSw6t`i3y*?R{ywr` z=zBXsx1(okZWzbfd=Ppk3ZsAo^*UI1)QWIzUy5SQT8;)xVH5K>dNO^fJiqZzsD$eB zYmgQaQu+iR{ z=t8|tT2St|5sWW;p}Np9h+jY;Ax#SnGh&qD>gjE*j&s6kW)SeX!~6HlOe-=)RDFG4 z5BxyEBZ6PW9~acZ_PdfdNk=|;ey#?=+}%dLy=K=M+fJ>&%E?iE$%2U-CF_D7OJ>}1 z+`r_roQe>P)Sj))y0(Qw@4-VVby&C>rKvU3A7#s&IPvwx9^uQfuntB-1Rv`;&9pfh zXuWWlEq`6^VZQ_H3Oii+X-!A`LqQbS_yEWrkXM2<;IYXb&E z%;UtMtM37uY$`uZ7PQT%`bPDYZ7Tk8^nQ2<%U~Kr24VtEP6We@xEvNtTx5QKazJay ztFGbUqj#cKw02@Eix#|9#$iV&Ag3`u8*x7&fv||p)*YT$G)wlEtKdGrHTR+*M^t$7 z2?upX!<(&5R~*ks{<&+`MiVjHIZ$QlOQ$LMkt6NXXqYR_-1z%H!(LQ{cQYuq`n?`W zI5N(COrS`ozi_M+V@&UDq)LXK`vK}s-_%r-ERv%3!lKc2!&TAqKi_RDEVgK7GqX72 z%Kv&q`H+8w2E}8k$Y;05r617*-wy4m5@N9edqgbb?!s5R(_wU#`|e-v*?grC>yV># zcv44$Y!==7*qg&H!re1Lo=kGvOl&f9V;>DF`w*Kg|dG1Z;Xv za<}oW(+}a3hE@*Ue2%OpQr>vDt$fE5&QCAw)e)pI4_G!x9v0x|kEh%|epRzE3iJVp zDs4D?5zF!L(U@B9r^gC6_!E_W>0U55Z-qF+7&&|JMSVoyj1(tfSV)YmY5sA1NB_y| zc>J7}eJ4Gf4OsNk|Kk*xxMwuVQo zp`M;1Rzx!e+l7w9S?#+XN`&&XqSCKx6-d}o4X+T9Rgijj%rfszx%QmNjM839>9#9QElk% z?W^{a!byeGKNx@*)&Zn(2~~ZB1a!ZUIe*-HNau*K2gB;mnnb9-Sdo~pFEuN^2p&L= z^Epb;(V*4pAYKp(dKI)4h#|^0YCDO2>oVC!8FC7+1YdAG6lMkn1{-tlX^CIC)&l7n z86k)d@R&%s*8eoP3e1A^vv{7nc7K3}&=IQ|Ft0e(a!+jV8h8dre5j2r1jmP4y8tzS zgx3<^z)P(bUm^@irC>THpI6`SzwUVR#*@)AZu4p8?(kvSH3c67 z4*sf*O#ruVfhV`D&jIT5MsIM=W)7oY90#i^CaW!Xn*_{aFJs7Fm{rYw7qe*y3@gqX)$#aH)`La*djbG{JycbZ`~@vQ|PwS##6N|sXNFVP*X<7 z#MA)F5?gYi(#%l`Fg5(7v0w%bEOg;HeTXCH*$XiQJsKnS>g2!GCru~Ji+UGPD2V~# z0c)QuVtwnQ7crot{>{H-A)*6D?;tK0&3V678<+~^?%gkWmu-FpOj9t=TNx_SkyW@_ zRC+~XMd#goQ6dOnjzdHw22Eangx)S18at52l7IU&gsN@kU%{2Q0KW){3i}uHLDK+GMWA;<)@U1<% zuj!PPYeY9%14V8_f&^{6PC;ZSKCU|)OUO?kE&G?AR_STK<7?D`qzpsYofHq(B6ZOu7a>9|GCm%9Yc_)O1XS{fR|mQn$t=g&7Q-Oo*?vP(4rA7=y7|hwKKt}*PBzyaWt{(zJP}$+QFntwaGo$m<1@hZT_|%V zyOZdNm38B#0&i2WNzOi1dQ27UNgwgsAT*dydEm;sz!+MGDAtyodcvfcNLNA=#Om2a zUv)L-#!VA8Z$w4fueqLK{L{qvOX$spp8n}vrNftx!DuFiLXX%*Sd~YdB*C5}5}|^V z6lYOrLEyYyC5jkHru|PV+5dMKcj}dL*{nZUE~Pn}h6V;75s&M=x!fyY?uu%G;Elm? zgoK1N2PUb;K(`DtXF5Ag?fvp&l9Gm}6{nVcjgRh&Q1-;-ocFu?s4YnmFEjE)BOK%d zH;$v7v4_0CbNWk+HU=s$4!lvU&x1@2+5{gZ1w~|DfSbf%dtsM;@rS9L49dD6EQN*L zMwAoEjxZe+5fv3B7?|XfLGt*9?vdSu-y3N+#s#-aBGd<(GQP23oaCA@KDI72I}lNq{UAx#NBoe@464Pd-BfjEZfB*~ZS`$db;FD@HXMTT--95mEh#+9S@mZ#~ zlad&b+bNpfgN1}R_f}M5PF$2^DglE;ARx}~+?wA0rKD*u;5QEzSk=dV{J1n3n3R;1 zS4Rv16#<%F+CncH4KMs~iq;vo8 zp*L^rq%p@M8A0mcYzPA&Xy+R!4x2=IffU${xj;f@&_N$DdhhAVtMjS9iaNT_F}!{p zXo2)qq8A9?{Ib`#Iu*@p8kSJrGBdQmc&w#=!V}8nyx5t$5kSqE(0;>``ePL z{BY7WXNK)r%My)C452-FKrou`$MEa~avc?4R@ad$3}XgxeSQ6znYNRM--Mja9xZq^ zXoXJa!Gy%6t~=Ok9VjUVy+?Nko|W>=HJsdy>ie;Yc{XUey#qYMEC)xTVj3d%DjFTL zoBPx!Dwq!|`%M+`CoJ3BAJ#eVDqc3`o^$bT8nsD49Sz+PfG+%ATBt$P` zn~uvc97@KV*Eo$zrC}pR&VA8(E5;mVoG-lzL6hl9S1t|a4zRznfQ=KO-bsJ&!yOLr zqD0UR^#%XL72rEF<)bv=V}cvMKIU>H5UF89u5jjSJ~|$Q0s*rW9QL!gQX*47nv%{j zzaS^)F*<~rq?g5pbYxHuWcl6#gok5Km+P87x#Cdl3Wr5VTMcH`F6 z0OovJ;0ICsRHyhVU*X+E&LGQJz^-J1}dm--ZdL>G4K z;CRaTJ z0Q=j$__i21p=)H+0O{y>%U<2RzXM;{+u9PK0IEM;K|wnR)n%8v^xWH^2=1H&d{ zm)ezxQxU^LO*)nOJguAeLO41O6vnH2TZGIjBvI!W`XuPc(^5iay#H?_HrF$YH#IFh z6gq#bo%+YYdwVT^M}<&=vw5eJ(c&tIHv;0olq?>oPfFD-caoDA!;HDHu>rhaDe|(j z97;UrfpU7O^HP!r&n`xO7Y{i?$gc9n3K^~q`f#^trQN&J;I}TW_mTO5go{dt(3>xZ z6D%o1jtC>zeq>|>BdzabGyw1rh^ITM z+US5$u9lqJdt}PO8CMl$!?wi~26^}K9SzZ9Q>z>hIG$>>X!x0ORL<#BB8&f=LLRGM z)TTwq_0Ko{c>V24rwQ75DRj8nf30NW)sxB(O;_r_2FE{BI(+F+$dPs!XVZ{p zI{E`!fYLA;Q<=+`AO}%h+5B!o?Th!Gy(?QHbgXy+%`jwk=fd*H6m+z#4lgeh+{?BH zU{sE&w0LDq)H{}Z<)8?F3-gnVmx<^uSX1w0IH=^Shf9x7z%V1 zJbANAtEKRLv-;Q;M>Yg_T)TFSF!S#p8A5{D+AQ$MXLX#<+SFrqT5`0#Y@l`uFx-0@ z8bCr{G8TCkr!|%Z7IXsTRrm)m^AY3d(`Dsxl@ZwzSf#iPUKsb{czZ|>(mK%nL}Fs% z0^B-HdIGW4U0p_gzxyS`{IGWn8{JjgOBfyBUs|2}zTf3ko~w{Wjj1hZBH=hgsqKJx zbDU-wj~}1nY_sJ1Tnfw`&jxk3EwDt~UOBQ;nJxDaWs&MVLdg=e;f7%cHiRY+_1KOZ+t7gkylHH0<&u=_nG89J zA6h!yG;fOvuOz_epuOhRtlAu2f1DIzVfV+zY=|_>$}n+9W*#1%=-&zzYHq|Jy5ANi zCb{f&FD8#fx@6Js!f7IQ=fDp}LC@&)LY7u`j^xe1l{^tOmK_-WoKrz>vm1k8Ie2*P z?4pK34@uRuT@E8(;XkF`K?=;cl=tb=50H+6JY+-1xPLkRcd+=*iW@sPqCfu0(2ccv z-5%C^Q*a}#9TobpiJLU*ru&21Pk%bD%oskXNjUYD{3~V3*3m$Zk)M?uVXwR%jWjPa z^y{Q0zcZ^6^c*+%&f@Pj&M3I})cbB$*ZV#8$TQ^k?a~lcEpTg&$>(aPqs70+UH2-J z&Eoch8)r!-zRv02mf1L*voGX4@0ZIhhcr=UIrOH}Y-vSTwR0F9m6)xZmG}A1A5-F5 zHNV5sbc07J%%#>+7?HWP)=_eG2!j#~a^;<`gWqMGLmPc9$FXDKuzBqPT8dG5ch4DB zd5a(+X3Xt;2i&z*t12P5A|a&>Ae%xkhEWy zM}jD#cjD0Bv^Q5u!4_I}@w&9fkDS1w{QP(+UoTd?r$^i#)Id{8v)%j$#Oi ztT^tdw_m?rU}1#@<5J@B1_m&>=d6=#!U;3Br7*rQ4lD#uU>EK+sQ%tlZvs8rE5klw z!?M17gqL|Mp4m8)rv{rSKKBh^20t#($s@ zF^Qkhk$;G@tFaeRG0)AclO0(*OAMY?T_4jDq>p|4yE^aYlK<`K3d=?;<#;%1uB@5|6&%pjEMiy5-+Sm&&v}XpBGI(;TFD*|NF9#Jp$I@q)|` z0Cjk`s*w+tNBJ06ap*3SPc)TC@WQ?QcpX=pFsAT@$6dpm)?Nt-iSArGa}$#X2c&H& zV|%T9eSIS*UlOK^(BZG|_Grs~kJgNQs(ev>Wc&uLe7oic@`j6H4Coxsxt}m;Xlpwk z%6RPi$jCdVqH3-!i^*(>U_vx`NiLp1ZgW}MXkZ+Pdn-Rz(>6>1k5W= z>Csi0lw|wdv)N))9$q&2rpu|mSLou#TNH_12&kZg z&A0$P^MxhPs5^Ib)Lu8I%6+wB=fc7>=u4PYqHJm*v;CGZcn6>a2a0%NN}~G++p`(p z>cQNaf`vYwPYWORXcLooJ^1w#+hPm&q-Zqdl#$^2>s#fkj|+|o8f%&$W72)@J+V%5 z>`NH^ge}(sOOX!}Q^#ik{I)?&hIKFIE6g{jgdN}6rI9F%dp4Y2BWrdD$Ez{(PUr60 z{kadT2bX-lEY_6SzE^ixwssOeY%$z6KZ=4i*C$$Tmhf~za>LpZB`Us&TpFUc+2mn! zB-40!LH$mK>Qk;;Hvg*yaC0mE;a`XS4%h%>#TSeKa&&a0X*&iB+Qs6CSkoBy-#*Zc zqqg}#B~*0^5Tzj6RmK!4!1_Xf>3GXSs0Ery%+eGqRJK zn>EG0#?+Y=lr^=smKpazH;Y9zSDUaeqnP&WUYT~4_Z~g8*LHl4a8x`_b(4jE&w8OrjOP2+#`($MG&F!g}2<@ITL>biCF@+%5w#V-m$ ziZkY}YVufu{LITQD6En2itLR@;OaSwx-he=AsNeG0 z3lS4#TM7|i4AF-oaL7lO>n=N{S@XFrVfTHhO02#jP9Iak0_vX_fsi{iPAe1WOR|`KY>G=WlVIqX3#Aq4@){48VO*4Gtw495 zrSNk|MQ+g?zLYqo&2AZg^MNRDJv5g#MO=-NP|>yGulaq~kAZ^ti1g5T#E}BwB%U%F z*rtoi0wynx@bZR%Qf~Y(4L>{*gIvd)95~1IhzK0M*;T0Qp3RUqgta2Z4LaaP+Ei1}J7qwn{gkGx z>s7+wj7-W|PFE``=pPM-Nbv?XJM_?x_Lzk)L4c9+<0Xa%YoP7k_Jr{gV52_l4_E>- z{F@OosD*ba;5)m%x|+khNAs(QtgNZTE!8#^X%#}+Ang0-!X-wq6MaWlP^;wb?uDw% zq>M^KSl~QL_VKlMgrEz?N%UUbER`?n4vep6^iKJ}i)G-#sm2eQ{$Y$EhW_Ms|4oRG zCmj4l`dg{=^=FLZAk>``hx88TAExS=;O=?ct(`fqe1N9NpQS0%{et9oynA(F+us4x zGc$$0f(-Ga^*9s8XPp)Trg=CHdpMHjKzt3woCuB=tgdpPV3mI7%}` zMq#e2`a4req>;f;ll9v6aF@j;=edsCbptn+ zO<6ylTR1^JJ<9jSE#X|Ddx-x6?<-$(k1C&24xubDR7_LOYTMHh#cS_LVYE^vbf!() zX7R!OrZ*of))X}-xJ#s=)f^b+4}Ekb%|@_PSGL7}o}?}O&2yEFl)U>>*N=T)*cqzF z{rQUDDZ007QOZuQIQv#EX4;Dch{-4gIO8d+7hx2 z%6}h33!GyOIWz>-!YrfRkyILrd`UO(6hw~fr=f31O5kgeJc9{1Z8$6~6HF7mJ}(l@ zEq$Z@Tk&&(sA(1GY!*J7j4)paBOx+CAlPq~rG{iq3*Fqd(d}9lst>`nsIz+FJxDS> zB#Dw+xzBv**;1>t&jJU`pb<dD`R~ zOd6dxFmQ}*w9Nklaz01K+;^o(M6E)Bo4!43r4o~nVeRMRejGE0DRCFNUXfdSzY+-1 z4fC6+sJGkFyY(J7`IpIJ^|p(hvt6oN4n>0g2W;L2pigG7x3mt0#e^su1a%{}@CP8~~$?^6MP zzM;z@gpQ4nUO7`~r;4ZUVm(BD`k@e}Y8xi&!v~HUJ-2eBu zxcIrnz@~Wu@m}}?XRj@UwuTc3c9(pab2N`x%8Z!AXUXToIq~BMq3JO98Q+Hnii~MU z31vhUWft;aG7j>oy|_EAwPv~>&KX%8Q2 zfSM$lP;_g@rKLXu$tJ9?Oyg2`4NW)`h;=~-L}ZiV`^_j(TRpT*kem$9`LM@cg|a|A zs#24(ab#ad!?@@V(Gv_CZrsd4zPlnFLMwJtXC6>99a&%{%X@ZShUu>wGL{UO+K-Od zC@vhNTT2di-ruGdF<*Tkg8T4%_S0b{y40@sx+WqiI3q+ z9QSvI8m?N()AH6Ie^toqs0P1G!uwlK=ie^{VzEA$y*%z;`&oK1h}~1?KhuUcg2A03 zI6)JleQ*v)<8lMI5O@E+gTzu%dHMYyXkZp@9y@a6vB|+}S99J6u_KhN8I@hj(s%yv zTmNRa&XLU?E2^?uUd0XEU*@85`gEwQ2&=Fq3G_e{Pom^AkV6Pa$sH(2C4-WKZMoq) z@r^Eq3PvU-2Z^Z_)Nsk-jvPJ%L6WQ|WlQ$&YcON|f>ZX~|f7 zJ}&3%2t%hY8uCT-9%4w5t!yP!`uKG2s*()=!v%{fKw~-ux?Va|=3FS_(Eoy$n7slV ze|p*(+gckM1E4^d-Y&LZVo6C+kuWSlBa*uD4gXl85w+!CcMPyfU`*T(1vjqJO1|%U zh=>4SNc0Q@aR_V(wkJZo4{n|tBe8(Ub-$C~;c2*(q0Sl4@^$51j}cYfikhaT4R)lY z(j9UILNki`Jjeu67*niC(lcEH+%78KF9a?X4o4$8q zCi?0WPQezmVVdx|z&L_#+$chi$PY%CcV>3>L;9+w*N}`y6KoM9;~D6V!2)ndN%f|m z_P^@f9qS*;i_8OjkFlYxf3M7DcM3Czqk9>}%;PLnI)+gN&)ifxm|EM~?9mErfYZ#C z_aAGZPxYPTP3AA%VSD&#O>%U!rCWsi3!0`iaFvuW9t%62ckDEw3}e2!8Yl%o~(c`c%9Cj%0<0TdZ!9%whCM*3QQ~X5^E@_sXc#I^Pe{O zSYHo`1{<2&UxU>raB7VfR?fsqy~9bMrmAX*fvIrthekwDi;9UkcID7RAn4^ls;`)5 z*gwX>B()1x>^Ag?b&w!AVssV}KM;445^SZYXe<;&z;s}D^MLvPv!DN0$i{M0hxX)v8|;(Rdv(rAel*RzX=ZAZxpO!AuHgC*NdohpfdfJ4J7)>Rbs zY3Yg{yPjD}C8_Qeif*>03F~D#HlSd?r)YdC$onYvl4?R#@oR^^lBcrTnA~8f#>{(B zrU>I@dg6cT-eX)*k=Wo?dfaMV_CMW65sq5Wngh5duInBZ!;CCI%AyGQAckC5R-V8& zH+}6H2FQ+xZSE$sK?(XYbv29TYR+zdxbSdr8}<|-Nmdw(9k;9wCJW&|!vK#FEK=mB z#iDCW*0OX~;58op{o6(Cb9CaweaLtSWEddW%4Eddy9n6m)J!TV6UJOgh^qyJzThZQ z0s2btu#i8;$g%VL)ZkLNhc}nVZ~PA1$wu@k_*~5g;$ihHegw@b&C$LexH6U@ApcU| z*3GaFpox_*s>5rn%JbOuX zsh|d6obgm4)Fy-?4BDGy0lsZ5fj=R6#1lD=8xV+@C2Dtk#3oye$YX~TC>B^8fv_e{Ny$W_O-fA6y7V4=Tmrb~HFI>&h>7@_&E3=Ciy*)`%^1;(W+D+d!KuMW3y_**&`L8$}yi{#0zERMs&-@hy1{>XKu zWsx;HOU-eY9WZsoL5aIqCHE8FciqYyg(>c0OG8|*xnGMj%_|Trse$W`rPc|yW#rZ7 z+DP1Zl%sBZjWa&A7Y~tJLSi4xgbDFcC4!Jbg6ewkOUNm7Xwp+gR#tY*3v^477B9UM zY_;xp@;iQc=KgsP0_PJ9Cju-%7)wl$)x<9(-4!}kz6!xWb2>2RDD-VJO!l5O58Av+ zNCb*CV-si5@_n9K&XstaJ%;2m17mYfTeuF`^x-c`u}FPZoDYaWel8 ze{b-&uixf**KJoRybwf-*Ab_~=@`(NbbIz#+mYhXJHo|v3unHlbse?zI>8TjvtM%o ze*6Ffv97EyIpVDt11vfntEEUtgI;^`BKT$kixQXJo&yJrkJNy-_uBm(bKQm9YweOWLXVCIkr_x$IEBn69bZpN&&(WKS)K8_~v0hE8ivKg+ z_av4qS5W5aB*&gA_!x(AE_TYcdgfa|yM@C46jcd&`I z+sx}JK|;7CJ)Mu~MOI%jd0|k=?3l+C@_%uJ^a58g&_x1Ded$j7G_fB({OLhzH)J$i z;6OC{4b+~+$mGH1HA1dHo9rUBWtW^O6p8Q?mo%$GxsmtOID5S1esZ!J?6fUm*@hj5 zDG_Z$^ppsjKD*L-A7xC_-w(aLz4?QQRex||08K)tJ32Y3j+g-~$D}=Cyy?{0w7YkY zLn)CBiNNaG+B4DQ8*U26d>ph>WD-Cg7#D~!E%&ha{!G90shj7i8@8ui0$KEPI1zk2 z3IP#FM$zutHBvE=+SyE!mYN#)iL3~oMPz-ro5i!Om^dK&CWD7~tCdqCmTyVS1J}kc zC23DyP^b0r7!U0_f{+RGsO@Z#d4 zZ5#iYI+JJoO;ZwRMAAQmG2n@Sp6cT8E>K{4yxpPI<2874D(PD?Iq@eZkvvcU$B48m{c|`&%44ED;c;rdIv-c%n?l?WaF;-jL$K zaU&}T)xm$b$bco?y!xGFWW<0AQPh>h%ZgcjZ2&nRIRxUM-B2DpSDR5M-U@Q=hXDw2 z2@AKUD<`ZFpbz-GX!J6~_O7I;#2tj}{RYDPjaDYNy4Yi3OpTB4m_sn_KPFC*rq89y zvUT(eR}|_g(m8K9a7}fX+@LL_e$2ZW%EjRk3i$A(M~s*iTN_o%+{b;4o}Ta0hRW43 zM0N|tPJ><@72#9{s&WmABXNhSxLGo`%WXO+MzrskxS%RA7D^RG5p+rUMA_9u<~(xe!gnb44D-gX&G>JG zOFDgV-93gzIdajS_9*_Oky%GjqaZxrfBHm~ayFaY8@1i2V|W3~*riaHdPmB|1=JYdBX?QTWQjxTvMmnvCaZu8qy;H$kJFaE13i#}E!U&337h`r2&VYq??-cRd@$CK|mOadX{g>g_;;g!U$W67} zUqNz6kc=#HzD9Buj-(x{!((F~&_m$?#qDv#)DAuU@b1LjP`1S)0|26DjPBV3%RtG$ zTnK<|&Y+Kh?dm3kw9uRY6c=Wq9;ot(BOD38xS)vKmU6ZpQeD8?G4J04^0}6GmGQLh zY0WOfZ&J=*PC*rj|GY#%wO3pqjkm)5YZ(}y$d@QfJSMw%5msPp=FeN3WK$W-;^q?n z?frYD6{GX5^eosXG_3OZ>I-NvKjL;B=Wyw<%yZpAPTp;FI1}VvV9MF^*47tX`kp@t zSe^ZV`T{!S$Djqh;+i2YC>aeF?X%Hh$M_1|@;HDEcy|gAc?MA1c>L<%#9elN)b<35 zMYJxQ;^JL)gS$8h8#nw8C~EXi`yCGfg-P;GxZja{hddpv$4%Lgd7FFfp+R()7$MD~ z2_6(5xte~=Wo}&dbk$LoOuEs5X9bqbe}a(4QtFZ5+qJXdJD-#>KTFnjx%Z*_Bk21F z87lIW?GG-*UXfxsUYfw~x*qNYM&rwW@e(AFog z`#^h6LWs{lg_#14azxfBPUDa8Qz8POp?4BmOdw2c0!g!8w~t&u+y2cfO{VMn?5To3 zRY((zh35cR1g-q)zoexjW4TS*zp6jzu+t!ZA>%6ef)2DI& zA)$#h;zN|-JAPh|s#?qP@tfy5vZ87&pFcQoFv6xlj;tt_>`R45cDFUuuPs%5%%Rxd z5_%YjZYvfuhGx6qUm?d0CqA|VN9FgF+DqxBZ`b#>Esy$XU{ zHtf!w=&L=h*}fZQ(RX%nA|;M3P6QQY>>FBY>i-u-FBWoysQPespuUb_q`;h+=sgX_ zH;zz1o4WAxNz@2}_l{8D%5g`v9Eb4BtYh}M#d%9c&z@;f3g4<$$Nm|C+8p5FcIc(a z6fhGh66dfxg1r*{6mkxzpXgaKa@wUpN1VZc4-)tMy6#oC2-T#;zYE!&Za8B>2;ao? zGklckX-ycH2&XdegYzj)QT6BHyhPfE?T0(`m@U&!eFFiPa^Pq)EZzj7;)dA->Mqo8 z#Sm_njz%#{zXPm_(wj{tg$7pu@&n#ubs99rYDzI_N$qudGK0;Q$f?0`A-b>v78Zlp zgHI<)Z}yiN2tdTw*q;YN!ym%8o1vl4GR|OWIAQ>`Ce4rW@njeIZks+WxsQNTQ3vb> zRg$aYgrjVx=I>Q`4C+2$|pB_ftG}?K&r6!o|slq%B?nfv35-O&MpaIE{`y5pQD#U!&AZc2rlW zMU05IDV1aXytMyx3~Ui^RkzD@NPz^jZKNm==}WceZtNG|FH0Z1Z-g>1`#N1!vcQ1S zp60m6(jhy_MfA%bUfHNn=MDdO^xVbAB6VY~Z?^tb_DK`OHDz$(YP7}y&|5s|cejai zKG-iYQ{T6p73B4Cw&&)}mb5CjL)%Y|vBt0Wb%&;4(p-@64yAatcgoGj_gitb)S$0+kN%4E0_jTWo&+q%k{m*q* zykGD0bsop@TnF1N+^1g=0)}}B<%11-Hg6EL%4zJwO(<`*owt8-O+{82CbOJ9a^c<7 z8+-?xy1h_JU@{Wgs(Yh4*93gER~bOOuVLVmb;->o$MQx{J)tc(n~$Nn84(|EWaj_KVO9)F zeSygHF|A-tVZC10#tj=LmH(ItK(nZT!~Q*NWpUrlO2d+LqNA) zS-f((hP8nF+Y~&hgKgR9*Bd6)|KUTcgDF<<;!uccLVo&AR_PTX;8Z=P{QpXmx-SA&Hf0=ovg zj1e9t4_`skcQ2f7$imv*ckHOWl-%~YJ*f5g_1+YHf3t_NWecNqAoV4#A<@}wr|CxzrYWz7q#6_XV4%=O z3bWO)?4Fc8uf=$ue`Ix)8DL?XWRBG`J+<|%@JP_g!^3HU#$uH;v-Ach8>!|prMo-2 z)e|<~>c9zqDF23vd4Rh9AJ5~8lT`*+%8BgdDHFo?FL%`^0(?V9pel5;4*=##Xe_El zj8-)cG5?uD&Nfq-bIFAt#XrRWB7<;X)EDc3A}Sm7c{r_$zrX)Ge@P%1TJiS9L14Cl z$8Mvi?RXe=06b@?xcvXip}sTWV*Lr6lLhhbvP|x8-_(^tA}}w2Kl=&<(J956w@*d?Cl+@IV!D9YlcirJ zualU-F$wcry7%H1!2^0QpSIoMxPqWh5}0Yi`juRSC?Xc>y^!?aJz>HiPnyQ%GLVjM z4yh0ZSL;_+mC1*QDq;(ViR-1^gxY>s!*k?cOX+{+*;{Y&Q&pWt4ks*P?Ku6m<95@r zS6+usWbNs&`bTXyd`x>l%9KB)&it2rb}lIY{y!}MTDNfV9M*>(!4HkH(|$iKxBx3A zuq-w_$?&`j`209%@0pE4nCkb5ns z=#U-ywFPB8K->rtKNzM1X>11%q^q`a$g@ zl=~YXOdD)^C&y!pdROn?w~OjHQDjlQ`17K{V59M-z@F#Q=M4Ou?kAu6u_*b{(zzj3 zEbn-uB@eR4)JwA_+L*iSHhCNmO5e59O@EA;_L+W(GDBUdvS4&qy-Zli`-=|sU)iIs zM_>4ORIh}VI!DMzYjs~WF`jqhMXvOK zWJp)PV$d;#!^kqG9wn4$F2Dt4{?16LF#rRI77#DS0bI!>y+J~vVjowh&xX5yE5~2_ zS18O^uMZz%z!$&pa9W6Njxo6uVvCxH;uJ1eQ&39W)N%hc1?$bXs*kuDV1z}{BU*NJ z*>LBg?46(21q>hWKEm*5_jBz_T+2!r)$xDP$uWS?!-o2+jYjVO@%@@xffCo=s|y%n z5bMf|JjwwNDn?bfEp}b9$g}2pc@Z7L@nI^(Lt8dLT#*Lf8Jb;OytPm~=EP(8qYo&2 z6B|aE))xtGAyL+D27xb68YcS0N-ye3-2gmwo@)K^8;Rn|& zem)m$ZXGrOftG2C%kt+_+>sF5wD@dyr0Mu)=%p*i9#31+Hx-4d z028syfUTzp+r|X8?P0j-X}mNv(dTIdK1MP#(dmC$H~30Xa^Pa(v6(xYyEsNZ+^3AO zDBA-k7P`u}2ra_Orc;=};2c1dl~uc5Rd@F*{lAM9l)g89NPIgA1qyao4L~?;2}vONxvkLc0rJ*c@T6cx@59Aup@|Rh|#sD3Km@KPQ&EAN%11R>~l+z!9neJyt4UlU)@)6-raao{)?;V(dOt{E9I z{TDgMuE%?ro&RMPUNzMuT8ksImt@nU#F?S-;+{I4nMVZs1ymqA3Co{#8KYDbKGTLD zNZuAgyA`}t+<93y{nN!G^yIP+k}fzwTgLX#1N2wKL!~zmFIgm2(Ga}{%)8qvu_$d) znVn^!3q|ujSOOxQ2l8v{;lRD1wCPMG0J$W-38zy)^2jm?KAN)PFZUrI23a2VAHQ)x z7E_wYCe}C!AEW!Ks!5RSTk7RQ*kjJp7Sr^|=kXQ9iKK5~nZVx5H07cxr&z`!q>b2>KWg_b84)<|K>1QL3;Np%4x z`dwIIfqXR0{!a6*NG4z8iVovhT!dEecwXYd-N@s4WwQ8HNJ1g}&Ts$%*E@FX6ywdg z-yOdnQ)C)HdYvBmVP9dy@t#+%R{#~*y$-?K-UMaD`g!lCWdU;_o>0lJOlax3Z-e-*fPV(N!@55WbAVeJ!a4WNqkazx~T zO7gAZRyqM!hb($pP_(YU$iGf;*Q-Bt@!2NKiPIHp-o%iO)JL2%*RkuFA=aS>ux>o& zZ5~b7=+e>L!Mpb_`s(i(*-&Gz zeLm+kKigD)mkjdF7jDV$+jlPT_L_G{7w}hnK_r4$vmX)Gc>CX=btA_gRpf`AV+CO4 zO!LqPKq}0K5BnkeJq9B7#tDnd59TU9Z0@c#T2Sk!o53FLGrq0}#n%1M51@2{a2D>FP5Ctb5V}~R=fGP>zQnjVMdX5@ zwqrk1;C~r02+g^>DQ3IGpr1$ToysR0!UGfH!^+nNPB9eZip) zgUkRl2MF9FrphP`Ou*3Sp)mlYVA__Ub}Va29BN<~^7ODg71fs=Z8PL)I1h5@qo6aQ zU%!663ttKZw*N=t!7Nh>8O^=1HC)f3F){Ku3*gGxNOH;H!yEDU;axk2kbCm?!El!i zdsG%uefGSSJH8R7L>=y87qWwMPR*+M{UjiOd1E!weQh zv|(Vo$(xQqIiL)a{CQO-CNNl%TOEr3t3bjE`|WPI_S=YpK<;wPMbXy^`LDHAD5)x} z&PB=EUEUebaxdd4CsK4ewr!1icVSp03R-`#gYC~t0Wn?!nD^*I{-(@nd4XeGf$9G6 z0g=#9!gb9ueCalZG6CNw_sSJqld=o!C#^}UJI z7>}@Jp~n zI{YX5#^A+WT;qSQ1nh(JuJ{h>oXz7-c&A^{8R8lqOblT9hW}-Cc(FokLVW1R{;-;* zw^%gxbSXsXZ2^n+l;7hZe0;GB&*`|IN`tm|_^+M0(CuzsUfzYNEM)M2-RUl@=@aw~ z-8qJ|Ktwtgt{h-fl=Cp?v<44z{kpbxR8UXhZaQ6rcdV`c)f$Rm!y3?g=zjT)U)zR0 zJPn-(&g-)nyH^<*cXlwI(p`90u0>)99N(~nQl$lMiJTf79lca+X-bSOn5WOy7bp_; zORvri6W-iX$D6a|Wo4hSmF{fc9cTyySClUwWm6QamQj|um@W9Fs_pWgHs|7VZ3x&T)}Z#2mvcgv z0V+=InHU_zrnV72yDYn&l8@}A*>BMV;Ul@samjXF^>x9sNWNz2H{ z*C_i)s#NWl&I=zxyRD|BR%P4bBe-_U>}&xTzS{l#VC)Mun1*?0&9}Y~OR=GS{rWW` zn<5}tCxQN_|Nhj7HD3a^4DU4Gk4w3}F}1y}{r8m92SH?G>s0$8_jDKn{9%rS2Rfy| zFGdPrI<8S@F@8We_yY^tx>=vVYlDd>8HpnwK76ogp^6AqT>9tS=HOV(*(Qai1Pb`1Dz_4gs%09G!E~#8UrV{jTre zu%gzyzXfs#hXe)&=9k<6ciqMpe$E*gJFB8sAqjI&ggDIeRk`nX)fLs-lO#7N@;r8o z-h*mb5I?fdd&O=~CIRY$)%Kz139IkLja3L~7S6sRrcuC%kYA9@?ne~dyu7UJ?C0k7 zlQ;#zfj;W7gQE=E#l(yZM5Ra~KM4%OAY`VgX#C&@PCxf0_0$ozHJtq+rDpUALB%uPSD;Nl@jgWGL>67nYB_k1^V7Fi7-kDpkSrgKy~whB+dEH5xvWQ^P5i=iW+PP zyy`6BzUY2jbP8|zrIE5xuZk;4)hV~s@1N0A9yam8$0X@ID32&NV5`)o3V}fKH>N(V z!%Oh$XEUu#DAW|uV`5m`I%eXAj19@%GR3vio0;4y2dz@kuy0PrT8RUAcva?t`N(c8 zwZ}5KlNe>V-@9QFGc0we8DCAMqR?52+pWL-xL>en#LEoy2dQV5BWR`3ak`!~R@;5d z!Wyxqk6-BUO>Qq3aI4s~c{98>XYK8Cdrly$Edg%0_m+hUW^o1gk|#NsBAjxH2D_OBc-y$`?)&vg?|HdxAL3=8%af@<-R09>QitboKMt;aR$H z4r^r1@ydb2173d?;ydkZt=FqK+x$h2A8cG(ujKxgQ&H`!R`;BHo<}j|^7QH974KHl zd~Bie1MQQ3z!Lsw(rlsK03Uw@((v?;$C5Y;yjEP$bsd(d(|M|^#y>N|Voq%^~ zH?k;p{(AN2W`}u_dRh|y@Oh2|k#AH%`EwPdeNQ`aSYnj1>$h&C}p14@0OaFz>hS@uc1$RExWh{UXf>M?BxYXRHL}(jjR?G{BXT+KST(HI zyq*il&hf*N>ziO^kK6Zf8ce{AKB=wo9s)EUJHU&Y;o_}+ZyU>Rww`CPW|2$4gxcEL zN;(fX2~BX%&AnU<^k#)i);wnzT^{twZ=kTGqNe`WdWoYz0?aU;GzJzU&qNt2@#J=habR2ic$Wh*aUp71;Va8=`x=fP*mz___zIZ;hwiZ%YKpf`CW4PL42tolVnP$4zm3;# zamn7+mKVX-tlZr4{L%lBPd>zoqN5kzP(T|vvS?UcT}|MZjg;G-;ELEWmGpeVcw9s? zhGr)&AT7pft%C&WYk%?hl(R$Wl^pK^bS&S#nZmUw2{FpBvv{Ct2@oNO2s-|7iqG@W zZN*{amypL1+9HYOC)1#qAEE*teC=c}F9x{)s0tyG)5ScOS2p(#5qM#^Ekm9>K1aS? zH~wY`mX9RXIqaipeHGXt8>BssZ2|aa%ND;}CMo5ahmOG@j4AM_=b|mJPjq16EiD(k zB2tv}a8 zo=TJ~M~3?#_IYdVwv;3jJTwDn<0`}Vj8Egb@RWmmT}PDNJ7^dh{_^P+NT-TtLUdec zS`#EF7jcb)gplE6ZhT?&5G4S}R8nc~N2?(O0_Gi1X4t7l!gvOaLmL%zLik(0S;W<_?a>qJ%$6#-ayPSbD$gFt>F{t z3Qabe=AZmYrSEq}WkT(rV;f`XmO&(d(c2N|o-&X9QEdNOn)K$yV82fN?E}p-V7E_$ z6xSD#0P_A!9wPQiW2jC^wixm!Pr1+fvqR^+TgV3o-L@_rol-D6L@%Ul2cJ=Vt8jF;Q=yEY|ABmi@K z*;7H6D^?JRDMq6sv}4?9M`s0ZqmllyFxrXlf^W-sTh7c4yzX7m4s1OFBim#4dy(5( z7l&PH@G#Aih$Bj?}D(VuQF<9 z29zg=Aji&>5fbZs3I++32&^AqLA(HF`T`L5=oYphq5|(IOsM(rDU%ir4dhJ00Z4rp zbOlkiWtntbk@kg{f_S`rWY<`q&ze^y`^Q5;N!;9N7^{hQ5w#sXLvn*Lb7*}0^b0<4 z(2Q!kxdK9`QXKphxxd!wCUUK&nx8xJWN=U7u1{~1;||3hGYxw>82ji^=F3{`>`469 zch4Qhn>qQ7CbK7n>CiTsIF666G`_3e=kR~|bf=G5pj!}k#r`Lc%V#1YMDLAUt%J$$ zLfT42_h9L37 z2-tRBx~*6iOoYHV*uWOc~FOVt9n0M2?+`C)5M7e$Fv~C zr>Z&G$8;B-GevHEf&j(@urBT&@|>AayC0NKK5wo*ty!#|D(`B}O7uEJmJU_$+!bGD zBKm@R=$U>Fpxt<%)%k?1%dHpzFi!Z@n0|$wI6QoW6LpWN*HOM_oWWBHDZUKY@&}=% zeJ2R|g6kwC9xo#Fc3*}|0ajlqY>u2LiT%uF{JN~WfGfdFJG*_V{5R;>ccX=n!WFM9 z5lJH8x}lpNpZJ;qT*O$J`t`qUyVJl+TL(*SJa21Y_3ardfgOSyp9Pw_x&?ud9wuC{G z{Zj6A$?l5tbh~#GN%y*@6#0g|cCJEiu-0jLf}|3o^BDSZLSQWxt+rn0RqRsOK}q19 zZ!v1KOMX#KOb#hMe5MdhX$k@c|_!wxz6-0McmwLf}0A$eyOO_ zF+!JiIF7u(_UiG_@^lcK0hnNL0G~82L{RE^l7OAaLsD}=;om*68+3<}p1i>E`oa%g z4$s_oifkP|@ko&*Ru;&n6;_$ZO?-UBoSncArMCO zs`s3Nr)JlQ8=fuaT{&0y+2Z@MTSaFdld>7@@dCEy9djpB^%kM@L@RsRD!;#!t-^ji|4vzVRwLbx1p|5*+LG_%5c0rey zj(lCGhjB9;hKB?f7i4a{p2s}Hta4ayZ$|IFTpEL)jdq&=>~z7K@Sf=x+w*Y@D9Fiu zMUps)A|PfJ#2o5)yIhv}{!o!UB<})UF=yqQ!)*hnSI2a6?);IbGsuOz9;@gqwkeFrYT zVZy|M>W8=ySdKJ0a$;LQiu(+}oW=8=CB_PJbCNxGiBcRq^ddo2lY@EQvi{wU^W`bOpjO3aYYD7`x@Sf zto4sSS~+Fi90L}JAq3=@)~%k)pd&xObmk$75d=qG;}KUYv{Zt4z6r^szYyOmhe;k0 zy3R}uRMz8S{DvjW)IX=XCDG$(oqI^6GAI3eX|Jf0*a2)a5{|rhKC{av!D&W$Mnuv% zC&Iamq-~j+envPpj8=$03PH^v#t`+wv}DU9?bxQ4mgt4_3q^Wt`gR?sOO1gtqZcy8 zNEYMeCpx*38}^N#A%PCe1j&&$%9zejP250?^nfIyXuTH3KLudgjQ;gm9{q$IP5_BR zw4oURw2Zczj;(cw=yn^U1x6vs)RD_6iH+mA_giNX4cX6Yk0g~|<`vPbvpE#R60n0Y z?678K$HC>5l~;T#P&<-1)b+86*OBK51!&zxDOLoXp^&3rAd!A3obCLuAxT1dHMCao z`#TR7Q4Y7B|BLBXl&=#y=iwI``KC2Aw=#hp{&RzHOL#S(YV)9t7zOE^f_~ZIp!M~zI=15*x|Or-(5p`l{GKYav4@1FJ)%PV*^2nF#{BuACL}; zC$Ch0zkJo4aaQEJ`h8a0rCiaOb1K&&4@w3K8us-b_eu9(I5Gb|P9pE`eOuvu8QMw) zx5t&aczN0R_zD#l`3{Z8`3?Ska%)cfqXt*{D|a!JY}`)JrYB?1^7Wq|W!d@y#4(6J zw`mW;OPWdZd-Vd|cakM(G1HAllF7uR?&2gle2XRV`XR1*$y#73Yo7iA0i+&yPF8&z z?yK>BW^sfb`Q8IyHB!-PmVrFX8n!Idvlv)tGjSAs`}XZg|MZ&LS{h_Hm0TMbdnsv=BHlAIiVxjj6Bq88F?y6{qasbWQ+xF%nWRWzh zdyU*~!dNs5vkwWY2hf8ctjO(g2m-0J5zbs1f8vvV0_W+26(P9mCJpjOaM=Z(UMp7p$K*MWxA_!f%b^lKgh@Es zhnC_dct;Xm`va5ZGl-c<;4SO|@WWy`85}p2n5pPbIdS4EanWBS)Bx#iV;U8*R~7UH z;-%$Cm~inGW391FC*IU+Ct#jN&y0RhYpMispvQm6dnrIfgv*%wp7Z#L6-TwC>#qSn zJk`FOxg-})62$R`htV(v(xNoF=(d;(k};mp#L!RHVCY>J8)2+xu0nPp7G7#$hhd*U z<%qv5Zr()f*=SY=a3zjHQ$T<39FzM{sJegw+4Vuc4dM?o;eEi8@26GK*)pXPohfmN zfUai4b`DUt5UF1?sH3B}2|9>CYYK0+)ZW=*`*p+RnnK-Or6J6eTZ*g|H>I;sdDD|O zMD@Pxtu4)=jm6(Ylpoaa&eHd0H19k_v+>j^Dy?7IVgdE$Vdc?Np|%tYRH-b}9N*-_ z7o|?hneKo9`|!qx93|n!+&OluS$__=KD57}V#9xVpH?i+qd@pzyvl3oyuL3jX{}P$ z`{&;lYQ?<0)$MqEStx`fhy{^tCg9gm;gNqc+%ZcyWbz7#0gaqXDQdT26BUhxJiGQj zBaaFVEOp@!R)(-otjPnuEQZWy&X4TN&I)+^bHnE}rTtBM?iR;CR3z8*;)^v}wJDpe z-G3bt{<(GA4^&Uv%SK2*I*MUXiF)_&s-gS43lK;n8KnNpO#HXz%hTA4&A(?R5N9VM z=EO4&Y$L2pU5XKJ@MwPj{^z?`RcouOCr+NiJc7&%htg)!$-^}^X2--LDEnIJhmIi+Qo5F#>u%R$rqtG8brD@{c1B*E+_<{<2f5RtY)AsdQ9-QU zw`h+t|9We0 zoPBg`EKfl4(o}ae#5>J{X7Y24C{`l?=0^!QAH9c;u3_WJ@cOroE#jjcv~~!oeQw*O z{>g0-AJ@Z>|JgmEN!k+5?t1)-fZFo9|B`f0qL7Yp=G?LYa7$aBvGK9oYv<7NgHIa7 z!BqX5yG=qXN&p_JNDA5d-k7UDBAz^9M(gtiI1!ndgzvqQM|i-a(_W{D0TGVcg3VX0 ziLM2=G?YVl#%>2h=yvU@f)cFBbEaJO)<1jfMXMh0aBF2rV~DJO_ig}kscSYpT4dk^ z{9O$OGXpSXptcgC(D8q{LKU(od4h0)c$BmtyTK+bFv{{EU z**o96{5vZLpX*D*nZZ+Q0UVq&>s45CBFrdNhQ_BmW>Hc}=owB}t-0VeSpB2b=x7=! zzR*Bx{m&lmAD^+CkdaXdx(Q-cMY@zNB2ux8+|4kzVuM9157)w<+tdg7D|*g%$*fP0 zxz_OXQ?Y3G7=-HrM$?Q)hhrOqdv}N52k<)WyjO9BlKeHSpFtE0em2rt(IV?~Xf`x8 zImftv_BO#%g9e;Ml!x1K8RMAT@%@GY$Y)oHH%xN;UC8RsIwg11N`IE%bJ{Fly?cbD1gcri}bm;xmk`L zRdZxMxM$C>!x~-#5-S0ql~k1#)VvFU4ZknN$zo8tdkWo=N*=zl^yjxj%{PSc|_T#73J*f*an7^+t8VZ?S$wcE-Qai7!LpP)M0>m zVZZAa%fGmNz0ShH0&D>`hX$`|GgR}FNa(Xf{S^JbTjSaK4`Je`DMl&P+-47Y;-$U;&pamx{R<(Gp#Xx66_xcR6 zN@Rfl8!Fall%;N3gijeF)`!$#&2Snp$I9JPco8xf!nlK20B=XvNvInqm2to@q@!hA z04dJq(RpBHkf&G^#Xq-6)tg9Z%)3-bR*6S)l>?CwaV==zB=hI5X+L%BCfn;^=7}veElKw^Cvv*3bs9wJ8#fwnkIdSx%x*$nQp$u z?adF4EeGMzc&z+E;r9n;&h*kUUapY9xrd;h1j181jO;h=dZs^JuEGT(Z0J&e`s;TL z4YPr-SPNVy+)xFP{rC_En9TPWAI0RKj!=Q3&ypMb{Q0wb*UTD?h3UXlU-_%Ju|pyv zj}RH&5G^1OFgCv6ksjqV>_=8+Sg45s0d||6BfIB`X^x1IwWtlU+rK|>;$UNw8J0PQ zHWZ#;c{jI{fHx3wG(VpVbpxnL;||XrM1Dazy`!!#-z=cvP8k$kBohoSKUkqACKPb8 zyNa(Q$cui~i0JxIbd_ysfQv3zMwy%Jh9Q<;E31sBXCd*x%FIN-3}BA3o^L3Ux-unx z@wu?(l>odx4gC;Z0kt7?~SDAd$E``*Xg5N&B@Nv#aYoA*c-83(8fym1@F!s7G{`&RnK}5t`4Ha=V zV~OOC=fR+VF83^MIIOXgVl(w*K}I!bnatm}Q6-5U1V?4)bt3RtAWHA-RwBq-aCUE()uTr;i#>pC7*`X3?-aq&X1-Rm@U} zzwj<_Sv0s<1OIFMDT>wSt7JuMSUbo;_ zsexL8KSgPRTg-lksKt^Xyv@Ubu)^afDz{ubF=@WqHWW!-u zewrK9gSSSq%rCo2$tac`7UtL{aX+k{a`u4MGbK|l$EEX_!n=NGrux^nOEU*Z@rSGI zb2q=3M&FVbAbs*U^$c3JC^rKEi<^6%)-3gAWmGq*OnT18l`#w*y>>7WBURV*}zg8^MT0X=+Zg*2D&X`AY2q0pC zl@Bggd8JM=G#Hgd@Bwntw9eM&rHl4^h)Cf1Rt152Ki8E9vAD(X$o7Mj`SvUaF(nA! zEw~0$r_T&3DsF1QmB05OsKfW0S=L&4e4YLaTfM;Tw*cUN#Y5t5F{k32Y3e?c{s}uD z@^yL1A|aHS^o`$;@|`7CFDB;%gpTW}_5|bpj}f;i%8h1(pKA#^a9wkq1Rim!Nqq{e zC7N6UPb=t}+BM9HP46Lg@<`|#jQPOSk#E>@$AOtw7@UQW+a6u_Y1~O!s8->e&`N*Y zA$RjW>kHi~{P&o|V<4AoyiY{~ECO}F<0rp<$3lh-PUEK|UTol_BWS0(I4lg13sGd# z9@bwDDU&+_LgJz>yfMvx1_>|*Gq$By=aNIwgftq}1TAgveJv*Eb} zEa`^0roJ(vNvU&kGk<&yh!5FW*P z+P!Fh%z)IaBLfj6*Md-5Bl48QI)b)gN9+lj$)nJgbv+@RcH}j0jJ`|^Su_4*96?B| z6@NI5obQyL<6O#%#Z-TFb;;JWD@Zn}_8@LIOG{I5xVrgCSw2Vh-D}G+hz4RjkH4mx zqkjy0Iu#=Rkaac6;!rjvOrPV(RD#Am_TXMz`ugM4&MW8FVKRnvaX6)L zy}cp>%hh%a1!8(1FNjJ_v?l&JQnoPmWE)l2|Bud< zm2j^8^Vui}$Y(9y;Nd|%UOJMH0PVdMmPy$ds5l+OkH$Ry%1p&5^@O9E+AfrJ0<83u zTx@)5SEMhetZWJ2z;$4FS$2;ZcCz-2Q+g!HjB#1GGg*+JrV`|p#%()t`gA;`m8YKW z1vTrzpyOeypQ9bU)PtHzlALVEKDE%*Q_z=;?^aNmO^#M!+k05LQZvUOY&9&JeoRs+G9xtOzU@9S%Wl*Ez% zoM6txIFm2?(>U4miBC}=`|_3d5)LoodSfw@k{cqxyVK}!F^HV9pREeGJmrma#t$igU0{|2(ixD)MIsC+OK7w|9eANE(-KGW@-kk4+G10 zgd72UZ>i7=6C7mtng9cTBMYyQhX80F6oEA5#|?0nkN^i*TOK%nDJ&=;eLc|LbhxI8 zpG$4`@H|&=ft;PnsdEUZz(Zq4owmRZ8Uhnt|MfM194536bC4Qd1>oO)Tt06ij9F&m zuU{5!_KaUbk4+sQayG!dTq$DPF_u>01=7+zH z?V-Ofq4G~?#Z05N(Iv`dTyKf8S8c>zFc$j_c&D; zeW_{#c!mmtokjv@@9uFWx`fT6Oy6$zhZv{}%!#H#S2*Wt@zYnlp=XmiMV)a>#WU%R z8MN*Ag*(PQ$i2%(Wz(5EHPGg8BE%IcK*E9Hh0oN@XMt7U!m#lA6IG!jhdc{F_!0H+}WWzBJ_#0ci)Cv%uue$l>a_XL}T%kCt{T?#9iux-`XB; zG|Dy+GHiMzlrCKd(@VJVONcSC_Oi~V2!zGgw%GS3M>5Q}8;a+p%vqS5|M+m0+B%nZ z_ionxlr#Qd!zI1lzvP>3#`$x8ncFJb@=00+{fjxGhAI!%1|sn288Wv+USLgIv~dzd zM7w1mrh#<&xoo#WynC^NHQV#j?$K+aoOw$Ch{Tk4|Ek)2kWA>{$A!y_#mYx}Zr#Cl zCvpjqNuZR$Fcd;3U}7^)%h1hP^nbvF3w?_@qn^d*avC63@ddfEDu@sES5V;t`(gS1 zVHLQMt)I7TQfE~DHyrpG#A=oE1>KjeF1t7IBG;(uvi=)9jCi+ZRgYR5hNWmegLCNq z52UQKAMIMN3dv@Gw@h{~*NW+i3l9S;QCY;K&`=PocoaY+M$3pNUVHsY`b&H?taoevaB#x@s`d+#$eGijh$#I*}{dmEPN+^eXN0G!4O z&^a9dHJoFFh=%2sL~@}ZD`atIhlPUw_Sqlt}6O*o}P4l`!nVTqq}&Gn70?X zxU8e}{gJqZr)&4s#~Wx$o0q=1bDJc^sy=Sktd5o_Q$3jSk3@K_yX}mMK4mf%O5iul zXI8(v$M12)mn-IlhGKlt9KOt7{)q%amh~;qdUtc`0}aE`Cl9OC1iRjE`u0}%H&xM? z@^&Ye?uR~08(bD_Iky5nZ-oAMU96eEy3U2bR_k2h`8_>_cRJLMW%OMpSxs|GRJ80r zCJS5Cp+yT=AmY_!BuW0TKPZ5a2oX=v6)2&x0mOU$5!*u;F4Tuls3OIeKO*y{PN3)@ zf5}oCDPMa9me`^6RAW$q|3FSb!3>6ba;;+G2a%>ECA9$${}Ny|P&oM@q$s!1Kl!2~ zw{RIdA-J8?#xu#jEGV*(y%?^M*8$vy1l+o>qb_;>L>vOj)s_CWQ;a4U;z`DzXTG2uhHU=CpAQCrx)7$GC>AqABN8na+os=&rb zo;th)TIv+?Eet?CP`;P()aivR@75i<*TCwwD14>Qa0j33t&aSNPNht>>)6SFmb(rL z0TkG%d-LeLzad%Q1VSSI#*`Gm^5pU2-^_l2$L(l+BfKM0jP+}X%Vi&1J_cVLUg7~q zyFK_KJiV2vXid!OKk&v{@EB>Dc);lx8p)Ji+~*OD`;kl|m6r5ea$Y5eky!*g zy+3;H0w}ei6@{Lo?DzLtR&sIsWB0R@`*pS5 zXn!!&-kFx#9(i=}M1dZA{7CD}?Y8d}t@>M%4<%}Hs217p(r&FE74BTtdOxsDfYjgg}be7y}xz#)@G(7PfQI2;cSs??m z(V$+U-C0F%tz@CUHL_HBy~G`^KhpcMYgq4x)?ZCLI{Yg+x9}O`8Xz$4D|H2ya1-I1 z+Ye>!p9lDMMa#~@vZS5bZ&&drFYs4%l+~7P+su)e_CDrVFz5?p;5MLVATBYCASB8P zi@3U;%?u6>3I$iWoXSmA?h1WO60=~ybC>?#hS=Q2y@LW%|NtD z4^brtW@ZF92AZ0h$nKxA)!!2ZthgU5>OysW*j7(S50Y|N(x z&N6pLk?iZz($bk$?;v6T<5)>_0_Z}mAax&|LH=Cw$INp_K2!2dmrYG;@28`vIzv;%0Q)+*Jh{!Dm%Ai`58&a+Zu|LNY(d>g z$ERT!L#iciKe)(Dj>lrmm)b3Zivx}=cKkgD)+an}gD>EkF! zD!q!V&I$3XgUKJqR8R9YDXHzw*Uuq7UEIS&q@_1OXB(f;EY`MW3+83lh7B7~^(1#v zkT(FAqWI>s@gX79q|3ui3SqOha@H}o9|P*KpEX$Oqw)Mdm0UB!ksCGXDN2V(={od~ z6q`4b9T^ZyjN?wqjGlrTy$0)l9zMK-ydKc7qewYwk9Y!lp8O`@<`EZE4Fv`MLvf@c zo%faQq&quq-v2BXC^I11EF>fLhHVaJl36LoRletG)Jtjs4%~zMH>gk9(7c0EB0*{^ z`R^i;CCcj)0y%V9;={rpi%ZJ*UiJ3jEUMG+Il;fzY}oPW&Fyj3o5cmTY`hS}ux__S9H04Tyhqsj9(%9918LuH(toUG+B2w!$@ z|5?8;_a&PAbTEbJdb_uI9C828fVZ|CZy#$w5KKT`%AKCr+6&71B7_idho3ahj}~68 z91$Zgwc+ECh;HbYq^vzxIc-%;S$tYcMnP!IWnf|^r6NJ zmtR`fB~<&Ut_6boAyy{bz9e-K-zia=t#V3%NL6pS73SjyX*JDPR3;bj!% zBuO>FHcd#{GXC^Nu4-dPAg{_-D&*=73`ZL;x_PlR%zv)%ksy9X%#RM|-H1!s$YEer zEW*f@2*tlp+V4%>1$l?EvUqJ#LAu}XI263md=47`OGzjev%?)K`|25vw!;T+L6Y?u{;p3cwE$t zu{oe03tq9d^R?`$aS}9+Ie|baI~pUL+wf+@U!RlPJmt>!!oK(W>|04a>^(jYZkEiq zpzrOshXBANog!&oL4KU<@ky1z{rhp;2@NHA2Se&IVEcv?q3Fa)ieziS%*P~?gP%4QoCP|SG<`39U>?icM$_XJL(^itJO{IQi% zDR)I^#MPUsS+C}1C^N6o=+E793p;CQ5##1hCABs8V%koGE+F<%30qtm1K+d~ZMFAb zkMBvBdDa-ip;TfB5v1Z$Ya zWpxC;#^K}7qwn%4OQ@i+@U9C^dWU(i%WRDLQ%Y;Frorh(ntKCsE`q##!5usns7bL3{Fg9a~ zq6As8Bfhc0ws|@}F?HeYcECQH-vD)C8sEVqZq#7&%t#&g>(J%6@bGFNfb~sHk>UrQ ze^HfdPEIK}96vCAtWEG4<>t-V)1vj93^X)vpi7ifQHc&`8yOufM9?WPO{&jjK9RpI za~q1GU55IS2c`!Oj?K{0Lf8+`t0RsAZ3~^rD<<_fC#gW#x1ffJWo@=T*y?;5Z{u}= z&HwW{@oQ)ADeQXxFSq32SrP3l{!&W*KIQT4A2IX8XcE$HQ)5%~U(K$?6|YO=ayWkX zOZ0^xOW<}6f^}#Th@&mq>jA;?NgC0R1DCTCj3xux8#S#tnGo0vUJxwY@^1y_nePW6 zCgL)7t=~DAwHkTuH)M8AE;_*M+!-@_znJxN1SOq^bjxBe_g^kf@sXg6(J1aVEu}I< zpnsTRt^b$4I)+%-x3#q(ACkX2MuhKdW*1rG#WV_IUmB$DOvU&Lee~EZK(AV;=YmT% zE7B*F?^)>(QBu=!qt@XaQc%(`sK-Tz7}XT$TG_%j(nHY;yU7raPfYmsc;@;$(lowX zh!p$8ctrKPS5jM<%C-;YhOuj!Bz*|7p?FZ~e419p6coMLB1hDuy=nPM-%E?hs;$RI!_h611Zx;O6oClh+>;y;z^{e6%z<5sc6XA}iQEjm29!F%UAC4)zj>jN zsAd30<2e&{v93PnIdXfD^*sw+ib;`vU~sVGc)k-b6`%=2Yby&AqtEWE3p8Aangj~3 z)iK{K<6ce%p5uw1kxo7AP};gPIr8b4i#uGJB;0o$R&1GK350TIkuEQ{T?u?2(fT6O z6u~v>ECSJ<3u2R4_UQ8NMh}W_*X6nVI;LS;b63{Ezem1ggCFDpwSzykCb=0RJ|N&`5?*{qYhh3jQqTmGC zNWNG1`yb#*W8x?Dp`0bb`IXw2*h15xxgv`SLE@6lAn0XM^o?|N$6PiT3U1Tc^=J8( z@PGJRH(4wG%l&;^iN6GmteQE#9r{*Ut3S)jw<-2gxw;L7?Go8AcJxUy|M1Bg=huT` zugBcaTFJZ1N4d4oI&CTA6drhKH6q+)c6v z>uY5&c|(B0Qoyz{73Wt_u=tF#UMBHupj18`$aV|j3F&D)-G^q){<0`v%1}Ap3xOi9 z)jeE7)O}D+0h1lgzqZ$wWuSE{NQ=Q~IlI&3m0A{kh7e;6Uiw+LB~urt;bhSgq?9+C zfsRYS)2f6JJAmvW`@;MkBzqvpB8qHq-?jtra3bk|JhII*JbX>+!%svI3aPAY62cio z6lPiLuUcP)_#m3{H_jA6GD>?xgfk>S*<>=jk8mbPhaQhwFi|DW?IM#b{nb7`48K}a zA3Hmv!CG}0w5)DgFcPO`vn+fB?C_-FC=i@?{gJoHshbG8-=!0yng@w4S@cG`F93f-@#@((` zM-EWnS<b$TA*8tRP(C6(>{;SalHH=#H}RPv*) zvii-z@GC7_7BcjM;$JP&f0zyWu*GNF?u*0TQdED%$Mvl%X552}^3u`Npb*D{GAh9E z(C0piCVK40lHl~4eks4s;Jqqb5My%&0Rz$9aR!doFk`U`Yeka zz{Z0cuo}cFSocw+X@2-AKhc^Rd_d~*@mK}~eE>PB>FnH#-BM>(Q7TT+=PR+xQt!0h zABX}@Rt0yB=|lX0SskHLC(!%9?B#Zl2X6R-VKOQ6}7dPcH(A1$1=4gQ&90Vc4RAall0#>dn&19&*&$=N_k~swzpWNfqAZPmApGbukhX zhYhskYDPM{WxSCtoW4RMldt(@@+`G@iXbbNu*YD>!I{1*;K%?mCxd9QKRd|Q@RF(M z$Ly?{`+WmmI^?hzeEY5U%w)aE)|%%_taKD->;=>hlA_qfybAX7&Ex!)EnSg(oH@oYNNgjxgTDWGRZyX`?-y9Pv5(%38|u4tCPXH7 zSnp4Lt6_a;YTl(GwP)IhC-(V0?bt<%`fAqzw?LMsKiPfHA1EJ_VGcZC`qn%xNS6Na zv}p!?UG_JDZM1{*Y|}%q7WCh_bh7@KQt}m1|Rh$ADJm! z0aECjx&bt3?#PcjZnuv^InD$+`x{M#&8LStiLwHE`xG#HOzuSt+bG?c2j2&)V*Fld zfG{sHfT`6mPwLh`@L(yXX6x<)JXt*~Gz*eo$aw8{bfXuM?mDosQLDznQgzi}zfJQw>ngGmoY zmuNHH-O@7iqD4Ut@8E@ft6!-ZZefp7aeWHH8vZ|`z5|@=y^Z^il07p*Wbc`fB-t|~ z35l$dgisj`nc1={2~k8DEecu5XizFeB8rmCqJ;PJJuCw3KfWvNJ@-hvr$O=EcQZIIMrWPGu!aj93_Z_QB<2(0 zCe+6zUH4}iX;?KfcUXny|HbqKvBUxE;`rxmH!^r;GGHR0x!)RAP*5PQ7Mvx!_r>8I z8z2?JW`;8Q_%vlyU&3`;b;HqfRuGkV|X=H^@a;b@>ikjPt##Il|G zCaPbO#pCWN`OSx2F||o3-He)Ac+pMYh}|wgdQ@&}u6XRN&jy{YMP*i3ZreV!bWQd$ z(l}NWzerCq-)q5l*1iChaOt9wMUJ z>l_k|X0wc`9OXvFor7cl<1a!k!j1cAs$t~fp}ZO6L%V>&fv5Z6t2omW8

I&Mm*|ElHv zgWJ30cqYRC3r7sV!AE+_iy?%CqV0WEm5`53KD{#xF1b* zs`Cv(sZIv2{8`xnDdNGDhcBT^+6LsY{7P)LDp@pZm-NVyBaQ3y^}UNda&vNwRra0p zJ?hpD2F$sw*ybbH2LFd2zkDe_00rbt1dF$B-mIDMG?EP1x-s_3mFVTE>J_})`~*k) z&|f|*KP7mt%Y{HPutQh=pOrE|irr z60viJpv5mo-H@Refm2ckD(V(<l52J2N%j=te}R&J<#_B4eUu`2i*^ zP2V!??Alv4dGlvko=ZL(w>u6cwSg)iHMWTY--V3=HBU2dGjiIHSuR?^3?z8IJcyLw z4lfZy{8q7;* z|8knGyFzDEHx|8o1Win5?G|MpGUq)!`ky0BCF)&OZwxEbEdo@gfOS6X&yG`yA@K5^ zTOy}cj1XGZ#&u#3Ktn~J$#rP8B&Tf7t;W5M*(R~}ll1{troCgF)r-y8+QJv4iC#nG zuhP3%tmFeTU%YyC!JDX=8N2SGp(5E!`o5{(%Onm8&?er3+T_!xoy@_|Jm+$L5SzgG zu5J&BtdC(7^6HvJzJ*6TrsXt@$Vj{QFGh3tFER$WFN0vJ?p9&g~NN z?pYd0NZvhWD2u5PF-HP=)+Nwl5LCQDef4ME{}IjB94Gu@WwK*em)zW3meDqA3h(RA zL;TP`_&9d`^~MWNBlpxQIe?LMc3T|J_N5~t!+@T;$GIX+%rA(0M821niW|Vt{ou$kUc=p+w zx|Bd<%}pLLdbBR)_`)lgmP_CPQ+g%*_^^2v^iH2pF|2)cr;P-0t-DWrUc>)zGBs_| z6vTFE8cdR#e;U(KJ zS`PR52tD|2f4vx#Sy0fO_VwwYM26s1SwI6yX(>T?9r45FuZaA_t1C|Yd4Ie0IVX^U zaDQU!j+h_!e@#YYVrDJvDaqW{PWRn6E@T8vc#n~6tQ<;=jc!;7w~G;MLb+9?_!Jd( z8p2i4mDo6~Y#A9}zQtoJ3iKaxX z3#Bh|)9K}wRzMEPfLpf-C_;7++8{_)lzZB6*|Thq#t=7Y?TcRSy6-!HU?uRkW$B@b zj#=z(WYM_i%fG4sG=kjkV>>L06E5NrfrB}+6o<7&beF|&C6g`r$y>E4GehUC-ud^L zHt2u(uCH+i5Sh$j^=$=R+VTuCAnp^w@#cfBcMm;!H1GM4hNNl#BY3{0u!F-b?D5^# zAjA{KNQgzDpQQcFb>dC zF|UOLdH7ASgGHi%`}p=9JLI3uLqTU$?K*vqX<_rwd zS3KupF$G|b`xK8I0AHdNZ)b=Mls4&ab>nPu^w!3gzkV_=+QNggBhH#^1tqg_b?H#8 zbiB0TSJ9nwp!l!k>+CD2oJ)u}bKj{K($EmLB}__4Ja8%#UrN=f_Q+I3=%p6RR<7L5 zZ=H9|eAa(WmR6;xSDG3lY^`AP=G4;_Yg|Yt@>?6pcatmG_$U&qP<%Etl6Z=1YGO0K(4l6pW3h}8rB0O2u%oweSQOsnTw*NO zWF*Jv%Q5_9{4l~IQA6~s)`^K72S1u1VudYbuvjw6?;fG1wv%Bc$l?*~xMZqD?3N|7 zxI8brQU9L;!OcU#8WFDi{sOwbFWU?*tuA9**i9yaX~Q52D;(RNvPoab zgn($N_$-(^n#2%S?4^O#HWud@w7K%6~kDjTwPE`=rhx`?$ z3p2pdyO6jdQF5+XLO<00#0ar8`(u!qq9pCQ51s9MBcrAd1EV^Fci zTQg`b7hHqCqOg%{c1% zeJ1?$#u5H!I=9i;-daC1$FOduxxB7z#OWFBS3AxfcUpPr{xe>4>mG#-Qa938@2F%` zl&oEQ|7W?)_&tA>{4k5MuljLfh4%NNbTf;pva$6oJ$Chx87|>J<3j}C{!CegiKai3 zK>A09L@;0ahIDe=vW}~4S0ug87a5ScD-Pnz!0{)C{DDSu9-h&pNglFtgM42V!szPz zMH)q%fq`E@QTe3paH(*PwIzCf1Fnp+s87;YtmQpL!r^%D-hJ`yw-BWodL72BLXH}X zp6FeE?Ah+s`q|X(YVM6+)$(Rz(lXI)AwTWX*pOL0YYC-RI=|dp^x|tBTJ<8ofOFl688A3H5~=R30Ai_BO---w{Nq zmrY(eN1mCGdY$38dGIuj$i&Jr1M}MXcG<9Y?IXGy>WgoBw95(dcmG<_3Tfh01Very z@DRfC9?CuL?Kds~`j%t&6ODe}Pg%Zu_Xye{#Pz$GnL}SlMvNL| zhz=x=(Vz>cdi4xX>x7JJ==!e~z*9Vhq)*uf5tb_)9AbFlmNZM}6M#Npi5==3LxQ3u z@s0%S_cJEzg50l^i#xZ7?}NxT=-!c`QQa(^m8ym-1+oCm0?)Z@u-7sLFRJ+nE_W0~ zF8^RbLf-R&f(VSDO{`5jRqKzkGOR}`r|$=`7sVt%23$&*BLkJCcqZ2UkVp=+-1MOt zU+t!@GK+|ZOFwM?$u?xYkCWfSHI=@78^L3$gxz?`{aW&{&$x}@Ac%u@l54a}+9Rzb zd}yZQ9T|d;oNzU@#U3|RQGU@E@1{~w1FMyUW0qG%-8^i(uZF) zFwhkfirbuz6Ie4`8xo;3eteeY=bu$fN~I8;?T#5nRW`xt4zZ%NxY&2q8j!jpgmIncYW@mB>}%(~ z{{ld62I0o@wo}v627Vt;_nZ9kn1Q1*oUXXZ+3)HOKU0Tqm2V@RDv=D{)G#tzO&)hOIo`7N)@1c#W*94DJf zHjL_F-h42~qVZSn7>h&`zTfhgSBDGjuMO6t4`_m0{1dk{5T`v_^78A+$;n_{zgH(m zN{T=FySH)?UuV)4Q%*YNr+lwoLs9qg>t_2srOr}|F=*{F;4NN@zH)tP_4P0P<6v@W z;gEn)%e-Aq906b-PX|tCeVWkz_FQVqPlQ1|KkAN8C~G6An3lIkW_pma2~adZ57Dv_ zS$-q0uk2yabGsyABI;LgNK>h_eYY?isjK9J^Ws*&6VN0OO!?j7lD&_WDAI=npGn6&kNJ z7tghKIPoq5?igO<$XGll2DfP0^4Z3uB?^cFPh3B=z`LVTO~ve@Pn_;)w6{+yqaxCy z<`c1h6a6FrR3%bBO|qjC*lMV_URp6-9FQ-m~YRauRc?CQCL>GY+3C zic~+jWLJ%kqtTTZL6-?TsgSR0orn{W&^u#SaH05>CKQCDEq0(}#u(Mprlgu-hNlcd zxhAlqM(_Wk2wSF}fd0>KS^<~&jytSjaq^mlP>a*-^etIik7LC<=5Y!%UJ0UyROHAn zYIosKJ{h&_^=oUdL|{ZN4ltvVf|WeOBI?Kt0a5wL>v+w=q0Hf?6DH-Dl zztZ^p!jXa1OBB3>wwjN-BK!(h)RGa6FofWN?=KO53^5I!QJ?Cda)DOQoJ*Rk_jDe> z#Qz$9mH7j8E0z8KnbZ44lIsF!J9XWs!Uhg)QG#1ToU+Q+pN+B|I?V1`%_zM2oC%)~ zGw5W*W?iHNHNkcVUpduYvCGjE*g@@?{nxCc&erQ}Mqg^HH9PS9nMAdm`c4EX8&b6?E)K+A;lpHt!MPa}o)HT$nAl19L64K7I!B9w_$&v-l!8@lM)qsSI1 zq+E5JqSW%fb9#*9?TqPsW%Z0g0?gicBapz5hyt+6_-dLG_*!Px47{+m9=xXrUUMnp z_6>=cu0Nsl2g<3{vbGfuj-RDd5Lm%6%0pe0+3kwV#aRm%9)l$sjIR_Pn-){OnBcLw~{8-%(&7(7o-@(3OBSw0FEd4gD!gyAZ)~a_U_U)Dg zY#7LpAzk-!2g4A)6OvT!+uh(w3wX!iXVgc;rS{@()8C1+2hxiq3$a8@+QW24;4<|A zn4Rq>=EpkFuOk5#lOS@X*Mfh60BU3x;Cqo!swK>x6a>1EZ` z!LO37A$mT8g5IJQG(v4GA{v+D?yXxTGDaN=d;GqXlQgcgnn(;s0nY9dvS5tjWjhKR zgU?mZ^U8yyZH9L;SUGj=aQe9e^k78~DUTg9W)Kv+DFc(!r*8o@yu)U8?3agHH6aOy zu3}pui@=R97tigSb#mea1J0+aVaSZQqrN09t(>*>T=DfzPMWu0u-$wm0&`Qd`P=y; zE9){Me=xW2!I4~9T|9f=+HM(&5GQs_mFno~8bdB^L7r`g3OsV_w(>V`!YO9of_Yd$ z94ev^t*@er$Zh8*-)t-1Y{6m>QskoRabVfg0^ovD6E=Ugi}M{mTFHR`RjpF`gGsX- z7~L0AmnZM1KW7LfYE!#CfIi!wjSbypUBpb&(!ibPM=^1TC*!m6R4&={zJw0#(hEA~ zJFy^-X0MekI)m~;zP>=^1t#YDN;LrW&(G{*On)?F1*q@k%k)F(KhpdbGkx>1F24Gf zFn`aM2%$Rnl!tK0;8?F<2t4=f)TZob6ARa54DMTgtfI6ugijxZ*lRr%kzhvXEsS2| zA41s;>)@hs)!wd}CN* zFncm=hW{iu`Ex6tB>kMcOUkz}dC69#!@^$yEHWmu(!1O6XnF=FJhK9eGyaElibMe> z@^BU(*7f!8h#tWZ%I2D+`cd&-OBCJ}Ucba{k<%~TzYjIvx=muE{&SqDlq7MF1itY~ zgfgRyarCZ|cy}EdIXt=1ki$JXU2Iq2eGPws!9aVb0TDzBv+L`Z#dUM13{4BG9Q`a> zX>jVDJK6ar#}!G!LP5Gb@zZTWrW3MIpQ)y321wGCEQo`S*oy-(u+tj2Wl za_Ho?`0Fp5C7zSMEd7lwZJ-l> z28RcoX58Yr-6}qi;zT#+G}&2V^eh)5cK!t|rk1(w)G*_3HwneaV>zyo>gp<QM_N^S+4JX22&MK3d=2&e2$(Qx z(RTonZSL{ozIi0>e*pk!ha@!%nj@P6RjzyYusD<7kWMcpZaTHx z06l8U>*pMipbymp-#(m>_gCSZzo-u-5?|T9sUl2Wa)>(PZ1sAX1_QfG8yk;Z#>k#Sj8uufx_l<)l@+n2bUNOry) zy!o99FHWDzFB@3$nTF;&0e=CPOFwt9=hu?211f}qg@2@Tt!>}q2s-rqnl*1eI%yhV zMuZ_fqNL-Ir!5MHckO@nm%sSLk^{&2MRa2f;9^In^Fxl<^~pyM5=C|@e`th%1J%&e zNNtCu93vB0H0T^*PfgYI2B-sB=SS}$b8MT$r-pTi1#K~v5yT0k!)adV8&b2$>1vLm z`jV8LMmw^>=J(Rmr}NGILXb+Wq&BF3YFNx`na6c;B#5e2sISVO%YBaDJoXvoxv2Lu zgC_*8?Ka7~U%!4vEXD}Z-f9V?o{Oc)C}|p+;L@5JKIw3R&N5y9Nnc|7ocwwfBL#`X z!-jhFDTW999s{7~L1pm=!uSzp@8gPNS%RZ#DZSRcGu;Cn%wQI9T#XYp+D2UmF3d;5 z^PuP;OmObt80i^Ip5F15$2osEr5rJ7TeGHAu0G8C%1qd{CnO>KNyA{sJa_H-Cy?`~ z0e>z;#VResAcTzgOCsb!Q4qB^JiD<(8Tuo<%-hzig>vdIqi0W^9O8jQ61hVAP4ylG|BNV)PZYreUs3m&`1)jL zn=ahr7=RPYQI-}g9P0Zy|5g*W(2(ue@#xj7S94|yDYre4M5U!~AGZ(NXjYz2BS#_8 z4`Y0bLcH*O!=Th%QS>fHT3tq&_q(VF&{!SGM-Ew-2mN)P+#aaqSO-G}17N`t5kd7( z8mXfOm^x+3u{`EZY;n)gs3}Frn!_i2@?(GJ(d~437f-md%Bii&pfxwwWoj-X@I3s^ z>1Kj+cpc+P0nc#pI6X`f*xl>2=1aHvbZGoV=*EzTV5=QN-?Qh5SDOX>$WoW{fQ>+F z7&tr?ynven^iVrK#gg>I`)4Ai(DU~TVbBzM-1=_Hi@yYjqH00FyLdlO@3_)>eZh&2 zT6WK73>gb3b!_;AcaP8R5+OV)3v!?zIwf&ZJC_Xea9yF`CHnAfx(qya!6DeCyu1HU za}(zOQCmwC|@4b@f{boxY-69-&0%> zeZL|k@uK5po7;B12uP%{t{HZt%XWwDWG=`UW?qU-%s zCKkT9w(cy$64nm|Atw3|aKr-*?3;ghlL*r%3Mo-v0|uPpvS5sbyetw$>%Bw&WHk@} zJ7e6RZ)pxCH;>3o-F%Lm9mNf-{qp4qL|84iqWbgkHZH4UdBr5Rjzus|sn=-- zjJ9g*DkrDRve=Dz9ox4zCLHloR_tHqm_Z0rzkco73_pyK>~rkDV)}kGD#|{fBwCrE zI$JQFv?*J=$k=!0|VmUz3y8OLw3hXDE5 zLBatK*l@K=-(_1ez6&*gXt4;g$Dbh?(v=~s&HNKq9QaEcD0oA~~8Nvx5iT=Ez)~53f4>;4R^TYNj+ky;fjnLM&S%M`-K3L+k>?Pu|$juxqSNt+_N2ry?h*= z0dcIpl=Rm8^7>N3p@|}ImP&YV^A7f#dYP`hUN&J6b>Y|_@G-S@b%(eyfbWe=1j2A; zN~=i#ti0{(cDEnVz1RqU z;6KFF5agT(a@)v+Ijyd@L{Rc){9D(a8mo@M8unGW5ueJ?wSW$KhAi7uqs6V4O?Y{* zLO=ibB8XO-$`=r9L(Q+KCErF?V4Ae5gG93MY!m+XNPmXQeI)XifC>Uv4!7*Q<;@Mi z67Yr!%1RKF(W+IeyzNEn3=-=Jm)?<&w!sZfHej5iU4T-|5(S#>2Ng9|g|k`b?u!=| z`2VPBL#Q24UtgLb7efhui8fN^ixik@kpp1iqva}MSl!0MKcej7>MD9vocWU^jnxmC z`MnGy6KI#@C%(2n9bc~{8AU~w31<4jOi$E$Y-~aUK!XaIS^F!A7x_z?Uh6&o|ZE80wHSIp?c85t8M_$Fl4U1yZ zjXc$0LAo)Shjoaci3g-|Bn1)TT%h3aVj1$Ctv9XfQ-I6!7RIi%44 zmAUcwUyXI;{Oi}SyZMy->ql14z5Dm)lG|Y9FJ31m>6lT zw=kCxGiah7*N#~b6U=bIk}DfyMKDw% z^}?Io-Q4Y;uh7G#P-gUD&2vnW-M5U@(yGLO@vhFtITIVE;F}R!X5UOw96RlIrSr>b zxlYkvUQ3ki%Y5mf%-ogOW|U&>Yzh`w0L#eL%ALovi$h$poDO2{-dw;SSCalH0a2rto)FLa|Pz&cyX3QJ0i>_nRdcE_!heGlLG3zvySjC+U6ZtSn%Ufa^Kve=?6o4`7|Uy1H%l6w=kGbb(Mf zz9C~?j%X)PKhSL)W(VzV&!sCS%6uAr4_4jx6+W1vBNOtquM>O`PW^^30_V#`l|j5T zsTzbj;S{G`ROcGnS!5eW=7d1D;jAu&qFe8EqoYLf_krIn*!?m>r`>1-O3qPIdb9^o=nHts}Yft2?-?7HlUR$87y?$-C$gLc=~5F^9Rd zfY&OX(wZCJqYIL$!3(wjRGQxB+qqEB2xj-(S5r8&91K$k5&~@4MxXQ-5hq~0OB{&a z&oglkz+oka++=khKQAf0Um*V>V3TjjIQoC(zmwM_#ch)d9T3d+(3>*ZD6U`W3(i#L zt#iC<>c+CFs-b{$p@6t+)-6P?mX_&+9Ld-Le2RHwM=)!y%}Gd7b80)5uGdxMp-B9M zcSwM>o^BDvlbs+m@dnFuB)7ZX{;j;|+g{YH7#?NT?UOnWolJ%K8MfWrN3@n8{^wDL z`D;2@ZYbm>B5bfu+c%HN7`F6{6>ywmV+5oQ`PwTUXqgQ%bgv1Ef zFU&j>MYq`X%TwAfLJ~ooxtpGz-biYl300H;Kb#p$H6a+ANcu$~U%SPK00kkfu~n1a ze9<4`YSjpcOY-QQ@mX(XTizalZP7X4^>J&#>4WQ0EQAxTRY?lucAt1yf)ZR`0oM81}0{mT==*=O|o7j&Jx zf2@PL;=Y`NZnFi;CAiduHJF+y)lheecqA~pcg?RvhM_=f+Nli$8z{F4p^*N1hQQg+ zL{()vF>^>>`=?)!J`I4v!E+I(~xEWM&N+v$=ma+og7j15t8 zSc)g|Q|v~uZ3zL!k6tM8PsQk{Bp&S)7%RYa^vO(5IJSq+J5KyM zi9<6oot}-*id?*S(WVYlN4=zvX+0o4L&5%MIJ*&6$?mFn4S82~LllB~oTeK>qkDOI zdF?=;KU0u!_{sI^wYqoWwQC{chTG050w52tSK<-Gb=5-G$2pP7z*_QfwD$Va-Nu7= z{ow#3$!Okr?_VZc;f0Z~?zNZlU7{X2+K{+un3RRIIf|{TgQ#HrM6yCQ6=G@*qe!(P z;0`g_uNr$qkA1k&iLcnI)Ka(T4zjgVXm}>@Rc#;MpOIm&;3Xnma6;Rf1Hg`|n!R`DX7lUnk1?CW1JbqWT*~RW`8;<3dRszGHs}stzLi-(+U@)se@glu z51HV?P}ozZzyt*Ecx@C9SmF1XlSIIf#4ybFAV^9k{f5noG3l$-qVD{iKYY&&!L(f1 zRO^n6YiA;Ay($0x4|y~{MQ?@1r1l#_azVe}kD9OOtNW)X&!5*1`u+L&W5(&$O=q1y z_TAO*_b2B}_VoUp{r-RX%lAH?YT~sdeG>&$#*mW0$uP7RxLf8FmiJC-CyRQXvQ-e9 zB9f?@oFAm6^+i`kvcBcsB?@UfhBX}=kM|d;%;_I4psR7IL6L5o8jr*Szg)D`hm%pd6jKufz*UUCN3rX?8&LkY9`UR?mj_cP8 z@;06wc^22#PsK(DqHO-mnfpWtB0a4Hh|p7c)ckx;F1z*b=0owpYzl3lT0jNGRt`Y& zFw<5WV|?J)$Zg_UM$9%o~{HH&!)!F8}`PGN2g}nf$H-3CE4@|MpLz*=otCfu` zr3DBKPQ3S*r0@N|o0{X2-fg^=ykRI(Ba7-GlA?RL-B9|YNp%mkY#-8|^cK%J#j+8G&JQNx`cvyGVLZzsyo6{xiO_XuCpJ)QzXdBM|1#iIGD4)6GoGb_C@}Ku9*k($@cp|zYAf5K{+RZN=mOap@J_ty zv17;T`3dq-bY@;W`_s;z;m0^$X<3;+c`54}Elg0@U_y6l1BJ^o7$t!%%YUHV98Q-% z@b+^`afTJ2t97H|7O$=8vv$6^90MUkYVqplN!qmM&>Q{J)@i_iwz{aR!0=Dt9Nvmf zXYTpq%d>)mmc=g@YX^ja#t3nQ`+{haCoF&9yA$vaka9{qd{= ztlIK|*|5?XdVT;Bj3>`CeG5^2cf>xM)m_D;{}1v(d4nLlfl0^nn3gdR#5l*`!B~ou z$ApTStlJ?=*#_kofFVH=n9u6ce{Ahr1@W8k5O?@jH;JS2H)j-c=PVRAit&U9s~ee>U# zt8e;VAD{SdcefI5vy;jRHKVQi9(kq>kh=W#C)MA1>Xt**QrI~x@bvvkscVosXFMEM z_Dg*$_X8wk6THjI>m3+0E+Y7S@%#5DmM6iNU6geo>z;gN@QSLlzuvt-%@`4UCZsmI zX}$Azob`P@psMZnJ6-1FZ?s^}Bj8s^j)TTXrg4mRWZi)fUe$XJVnj}$?Ze>^Sd<-^ zb$7Pa{P-gFWIuj9GIJ~+>xyh1>pgr|%?7i9K9^f^A9K65ksMI^9quRXKdQE9mTkq# zO>v(+*KqGO4@?+8epNy_K5d!@>faX}icN`|OW$l&Kpq8r-551BwSo$|eWMN}Nu@?4 z+AYY!zk$l-J9S!DHUo*;y?_*%;!c0Eyt6U}PA|t#MAjFU7aN+RV|YdS7p6(M@5U3%G%f@Ux0+b@ zm0;I>@Q}6z&%X2{B$a@MojaapQr^X#WS5C>J=e=gRUyy+tMRl z^81h!AM_nlY!SQEGxNuWnxi2~Yg6v$W^;bm^!}%VYt7Wp&ZawgeAeFs$w?8CPQhG*sZ~1gE8xE^)R++&G8c|5T?3b|OlOuO|qhGczwV zmmFyR``q2^e+z^RX{(uqD^(;F)`XkhewC>HT;5ky9If8}{MV0~t!6w`m+GpjpjG>m zl9GtaYl43<(_bv6tbZjrgDCJ2&?zD zz0n0$2ugqgY~{oX4!hXm%Bj9(m$?tq|6o+O|8KxWds)|jOF&{l?Pp+r`4=#_f#t@s zc}A&Tn_lxCzEJ&sFYw~l&!9tdK;yc=`LDEnUv%~K{6Kv_V1>S>=@+nfld>y~q2fv; zPu*is-N#UI1h^9E#n$U_mw|cOXfJ44x(RUCBe1Yv_M;NG*5j=B0$_Cw-s@1xdw2pc z^nm^P%wk>Wgu~^S&A@Y+%(lh>M`Jbt+rgl@U{5YCu1V9Uhj$eV+dl@@GQfkK(}VW{ zn`xjX(4^k`yGl>LaxDfIE1;uzUd?A_uz3e-JUs#4nW$-C03KTa4i+1g$?n zN0TlBhht1rP6&8zd;h?<;utWkzXaVS1KjKP6-aBUskwn>PJj!>uL8#vX76tYW>jrZ zc$wu~0LD0I$vkKU)_L3SbAaha54e{AINx#dSvq^eaZyN`X7C6MYq`PD@WvG~x(G}J zExamples
data("pancreas_sub")
 pancreas_sub <- RunDEtest(pancreas_sub, group_by = "CellType")
 #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data.
-#> [2023-09-01 05:46:00.908922] Start DEtest
+#> [2023-09-08 16:16:21.452923] Start DEtest
 #> Workers: 1
 #> Find all markers(wilcox) among 5 groups...
 #> 
  |                                                                                                                    
  |                                                                                                              |   0%
  |                                                                                                                    
  |==============================================================================================================| 100%
 #> 
-#> [2023-09-01 05:46:04.118009] DEtest done
-#> Elapsed time:3.21 secs
+#> [2023-09-08 16:16:25.325272] DEtest done
+#> Elapsed time:3.87 secs
 pancreas_sub <- RunEnrichment(
-  srt = pancreas_sub, group_by = "CellType", DE_threshold = "avg_log2FC > 0 & p_val_adj < 0.05",
+  srt = pancreas_sub, group_by = "CellType", DE_threshold = "p_val_adj < 0.05",
   db = "GO_BP", species = "Mus_musculus"
 )
-#> [2023-09-01 05:46:04.120698] Start Enrichment
+#> [2023-09-08 16:16:25.328582] Start Enrichment
 #> Workers: 1
 #> Species: Mus_musculus
-#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-01 05:12:05.52538
+#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 15:30:55.528871
 #> Permform enrichment...
 #> 
  |                                                                                                                    
  |                                                                                                              |   0%
  |                                                                                                                    
  |==============================================================================================================| 100%
 #> 
-#> [2023-09-01 05:46:49.452022] Enrichment done
-#> Elapsed time:45.33 secs
+#> [2023-09-08 16:17:25.725114] Enrichment done
+#> Elapsed time:1.01 mins
 EnrichmentPlot(pancreas_sub, db = "GO_BP", group_by = "CellType", plot_type = "comparison")
 #> Warning: Vectorized input to `element_text()` is not officially supported.
 #> ℹ Results may be unexpected or may change in future versions of ggplot2.
 
 
+pancreas_sub <- RunEnrichment(
+  srt = pancreas_sub, group_by = "CellType", DE_threshold = "p_val_adj < 0.05",
+  db = c("MSigDB", "MSigDB_MH"), species = "Mus_musculus"
+)
+#> [2023-09-08 16:17:26.03741] Start Enrichment
+#> Workers: 1
+#> Species: Mus_musculus
+#> Preparing database: MSigDB
+#> Permform enrichment...
+#> 
  |                                                                                                                    
  |                                                                                                              |   0%
  |                                                                                                                    
  |==============================================================================================================| 100%
+#> 
+#> [2023-09-08 16:19:42.151135] Enrichment done
+#> Elapsed time:2.27 mins
+EnrichmentPlot(pancreas_sub, db = "MSigDB", group_by = "CellType", plot_type = "comparison")
+#> Warning: Vectorized input to `element_text()` is not officially supported.
+#> ℹ Results may be unexpected or may change in future versions of ggplot2.
+
+EnrichmentPlot(pancreas_sub, db = "MSigDB_MH", group_by = "CellType", plot_type = "comparison")
+#> Warning: Vectorized input to `element_text()` is not officially supported.
+#> ℹ Results may be unexpected or may change in future versions of ggplot2.
+
+
 # Remove redundant GO terms
 pancreas_sub <- RunEnrichment(srt = pancreas_sub, group_by = "CellType", db = "GO_BP", GO_simplify = TRUE, species = "Mus_musculus")
-#> [2023-09-01 05:46:49.699932] Start Enrichment
+#> [2023-09-08 16:19:42.920584] Start Enrichment
 #> Workers: 1
 #> Species: Mus_musculus
-#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-01 05:12:05.52538
+#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 15:30:55.528871
 #> Permform enrichment...
 #> 
  |                                                                                                                    
  |                                                                                                              |   0%
  |                                                                                                                    
  |==============================================================================================================| 100%
 #> 
-#> [2023-09-01 05:48:18.464079] Enrichment done
-#> Elapsed time:1.48 mins
+#> [2023-09-08 16:21:46.49949] Enrichment done
+#> Elapsed time:2.06 mins
 EnrichmentPlot(pancreas_sub, db = "GO_BP_sim", group_by = "CellType", plot_type = "comparison")
 #> Warning: Vectorized input to `element_text()` is not officially supported.
 #> ℹ Results may be unexpected or may change in future versions of ggplot2.
-
+
 
 # Use a combined database
 pancreas_sub <- RunEnrichment(
@@ -204,10 +226,25 @@ 
Examples  db_combine = TRUE,
   species = "Mus_musculus"
 )
-#> [2023-09-01 05:48:18.740788] Start Enrichment
+#> [2023-09-08 16:21:46.837909] Start Enrichment
 #> Workers: 1
 #> Species: Mus_musculus
-#> Loading cached db: MP version:2023-08-28 08:02 nterm:10291 created:2023-09-01 05:15:39.154756
+#> Loading cached db: MP version:2023-09-04 08:03 nterm:10294 created:2023-09-08 15:36:02.719487
+#> Install package: "PFAM.db" ...
+#> 'getOption("repos")' replaces Bioconductor standard repositories, see 'help("repositories", package = "BiocManager")'
+#> for details.
+#> Replacement repositories:
+#>     CRAN: https://cloud.r-project.org
+#> Bioconductor version 3.17 (BiocManager 1.30.22), R 4.3.1 (2023-06-16)
+#> Installing package(s) 'PFAM.db'
+#> 
+#> Install package: "reactome.db" ...
+#> 'getOption("repos")' replaces Bioconductor standard repositories, see 'help("repositories", package = "BiocManager")'
+#> for details.
+#> Replacement repositories:
+#>     CRAN: https://cloud.r-project.org
+#> Bioconductor version 3.17 (BiocManager 1.30.22), R 4.3.1 (2023-06-16)
+#> Installing package(s) 'reactome.db'
 #> Preparing database: KEGG
 #> Preparing database: WikiPathway
 #> Preparing database: Reactome
@@ -219,9 +256,9 @@ 
Examples#> Searching the dataset mmusculus ...
 #> Connecting to the dataset mmusculus_gene_ensembl ...
 #> Converting the geneIDs...
-#> 9246 genes mapped with entrez_id
+#> 9248 genes mapped with entrez_id
 #> ==============================
-#> 9246 genes mapped
+#> 9248 genes mapped
 #> 86 genes unmapped
 #> ==============================
 #> Convert ID types for the database: WikiPathway
@@ -264,29 +301,29 @@ 
Examples#> Permform enrichment...
 #> 
  |                                                                                                                    
  |                                                                                                              |   0%
  |                                                                                                                    
  |==============================================================================================================| 100%
 #> 
-#> [2023-09-01 05:49:58.823383] Enrichment done
-#> Elapsed time:1.67 mins
+#> [2023-09-08 16:26:17.425942] Enrichment done
+#> Elapsed time:4.51 mins
 EnrichmentPlot(pancreas_sub, db = "Combined", group_by = "CellType", plot_type = "comparison")
 #> Warning: Vectorized input to `element_text()` is not officially supported.
 #> ℹ Results may be unexpected or may change in future versions of ggplot2.
-
+
 
 # Or use "geneID" and "geneID_groups" as input to run enrichment
-de_df <- dplyr::filter(pancreas_sub@tools$DEtest_CellType$AllMarkers_wilcox, avg_log2FC > 0 & p_val_adj < 0.05)
+de_df <- dplyr::filter(pancreas_sub@tools$DEtest_CellType$AllMarkers_wilcox, p_val_adj < 0.05)
 enrich_out <- RunEnrichment(geneID = de_df[["gene"]], geneID_groups = de_df[["group1"]], db = "GO_BP", species = "Mus_musculus")
-#> [2023-09-01 05:49:59.128159] Start Enrichment
+#> [2023-09-08 16:26:17.867518] Start Enrichment
 #> Workers: 1
 #> Species: Mus_musculus
-#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-01 05:12:05.52538
+#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 15:30:55.528871
 #> Permform enrichment...
 #> 
  |                                                                                                                    
  |                                                                                                              |   0%
  |                                                                                                                    
  |==============================================================================================================| 100%
 #> 
-#> [2023-09-01 05:50:46.754929] Enrichment done
-#> Elapsed time:47.63 secs
+#> [2023-09-08 16:27:24.150185] Enrichment done
+#> Elapsed time:1.1 mins
 EnrichmentPlot(res = enrich_out, db = "GO_BP", plot_type = "comparison")
 #> Warning: Vectorized input to `element_text()` is not officially supported.
 #> ℹ Results may be unexpected or may change in future versions of ggplot2.
-
+
diff --git a/reference/RunGSEA.html b/reference/RunGSEA.html index 135559a2..00e758da 100644 --- a/reference/RunGSEA.html +++ b/reference/RunGSEA.html @@ -154,21 +154,21 @@

Examples
data("pancreas_sub")
 pancreas_sub <- RunDEtest(pancreas_sub, group_by = "CellType", only.pos = FALSE, fc.threshold = 1)
 #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data.
-#> [2023-09-01 05:50:50.163321] Start DEtest
+#> [2023-09-08 16:27:30.481149] Start DEtest
 #> Workers: 1
 #> Find all markers(wilcox) among 5 groups...
 #> 
  |                                                                                                                    
  |                                                                                                              |   0%
  |                                                                                                                    
  |==============================================================================================================| 100%
 #> 
-#> [2023-09-01 05:55:49.887801] DEtest done
-#> Elapsed time:5 mins
+#> [2023-09-08 16:34:15.967379] DEtest done
+#> Elapsed time:6.76 mins
 pancreas_sub <- RunGSEA(pancreas_sub,
   group_by = "CellType", DE_threshold = "p_val_adj < 0.05",
   scoreType = "std", db = "GO_BP", species = "Mus_musculus"
 )
-#> [2023-09-01 05:55:49.890738] Start GSEA
+#> [2023-09-08 16:34:15.970888] Start GSEA
 #> Workers: 1
 #> Species: Mus_musculus
-#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-01 05:12:05.52538
+#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 15:30:55.528871
 #> Permform GSEA...
 #> 
  |                                                                                                                    
  |                                                                                                              |   0%
  |                                                                                                                    
  |                                                                                                              |   0%
  |                                                                                                                    
  |==============================================================================================================| 100%
 #> 
@@ -182,8 +182,8 @@ 
Examples#> 
 #> 
  |                                                                                                                    
  |==============================================================================================================| 100%
 #> 
-#> [2023-09-01 06:01:25.644766] GSEA done
-#> Elapsed time:5.6 mins
+#> [2023-09-08 16:40:51.303443] GSEA done
+#> Elapsed time:6.59 mins
 GSEAPlot(pancreas_sub, db = "GO_BP", group_by = "CellType", plot_type = "comparison")
 
 GSEAPlot(pancreas_sub, db = "GO_BP", group_by = "CellType", group_use = "Ductal", id_use = "GO:0006412")
@@ -193,10 +193,10 @@ 
Examples
 # Remove redundant GO terms
 pancreas_sub <- RunGSEA(srt = pancreas_sub, group_by = "CellType", db = "GO_BP", GO_simplify = TRUE, species = "Mus_musculus")
-#> [2023-09-01 06:01:27.756445] Start GSEA
+#> [2023-09-08 16:40:53.475685] Start GSEA
 #> Workers: 1
 #> Species: Mus_musculus
-#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-01 05:12:05.52538
+#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 15:30:55.528871
 #> Permform GSEA...
 #> 
  |                                                                                                                    
  |                                                                                                              |   0%
  |                                                                                                                    
  |                                                                                                              |   0%
  |                                                                                                                    
  |==============================================================================================================| 100%
 #> 
@@ -210,8 +210,8 @@ 
Examples#> 
 #> 
  |                                                                                                                    
  |==============================================================================================================| 100%
 #> 
-#> [2023-09-01 06:07:52.14914] GSEA done
-#> Elapsed time:6.41 mins
+#> [2023-09-08 16:48:11.116546] GSEA done
+#> Elapsed time:7.29 mins
 GSEAPlot(pancreas_sub, db = "GO_BP_sim", group_by = "CellType", plot_type = "comparison")
 
 
@@ -222,14 +222,14 @@ 
Examples  db_combine = TRUE,
   species = "Mus_musculus"
 )
-#> [2023-09-01 06:07:52.557954] Start GSEA
+#> [2023-09-08 16:48:11.514262] Start GSEA
 #> Workers: 1
 #> Species: Mus_musculus
-#> Loading cached db: KEGG version:Release 107.0+/09-01, Sep 23 nterm:351 created:2023-09-01 05:49:03.014052
-#> Loading cached db: WikiPathway version:20230810 nterm:200 created:2023-09-01 05:49:10.167076
-#> Loading cached db: Reactome version:1.84.0 nterm:1715 created:2023-09-01 05:49:21.179897
-#> Loading cached db: PFAM version:3.17.0 nterm:6565 created:2023-09-01 05:49:41.21398
-#> Loading cached db: MP version:2023-08-28 08:02 nterm:10291 created:2023-09-01 05:15:39.154756
+#> Loading cached db: KEGG version:Release 107.0+/09-08, Sep 23 nterm:351 created:2023-09-08 16:24:54.778765
+#> Loading cached db: WikiPathway version:20230810 nterm:200 created:2023-09-08 16:25:04.218829
+#> Loading cached db: Reactome version:1.84.0 nterm:1715 created:2023-09-08 16:25:20.498028
+#> Loading cached db: PFAM version:3.17.0 nterm:6565 created:2023-09-08 16:25:49.917661
+#> Loading cached db: MP version:2023-09-04 08:03 nterm:10294 created:2023-09-08 15:36:02.719487
 #> Create 'Combined' database ...
 #> Permform GSEA...
 #> 
  |                                                                                                                    
  |                                                                                                              |   0%
  |                                                                                                                    
  |                                                                                                              |   0%
  |                                                                                                                    
  |==============================================================================================================| 100%
@@ -244,18 +244,18 @@ 
Examples#> 
 #> 
  |                                                                                                                    
  |==============================================================================================================| 100%
 #> 
-#> [2023-09-01 06:09:49.078112] GSEA done
-#> Elapsed time:1.94 mins
+#> [2023-09-08 16:50:29.901259] GSEA done
+#> Elapsed time:2.31 mins
 GSEAPlot(pancreas_sub, db = "Combined", group_by = "CellType", plot_type = "comparison")
 
 
 # Or use "geneID", "geneScore" and "geneID_groups" as input to run GSEA
 de_df <- dplyr::filter(pancreas_sub@tools$DEtest_CellType$AllMarkers_wilcox, p_val_adj < 0.05)
 gsea_out <- RunGSEA(geneID = de_df[["gene"]], geneScore = de_df[["avg_log2FC"]], geneID_groups = de_df[["group1"]], db = "GO_BP", species = "Mus_musculus")
-#> [2023-09-01 06:09:49.453508] Start GSEA
+#> [2023-09-08 16:50:30.280804] Start GSEA
 #> Workers: 1
 #> Species: Mus_musculus
-#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-01 05:12:05.52538
+#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 15:30:55.528871
 #> Permform GSEA...
 #> 
  |                                                                                                                    
  |                                                                                                              |   0%
  |                                                                                                                    
  |                                                                                                              |   0%
  |                                                                                                                    
  |==============================================================================================================| 100%
 #> 
@@ -269,8 +269,8 @@ 
Examples#> 
 #> 
  |                                                                                                                    
  |==============================================================================================================| 100%
 #> 
-#> [2023-09-01 06:15:44.137675] GSEA done
-#> Elapsed time:5.91 mins
+#> [2023-09-08 16:57:12.112682] GSEA done
+#> Elapsed time:6.7 mins
 GSEAPlot(res = gsea_out, db = "GO_BP", plot_type = "comparison")
 
 
diff --git a/reference/RunKNNMap.html b/reference/RunKNNMap.html
index 3c862e45..179224a9 100644
--- a/reference/RunKNNMap.html
+++ b/reference/RunKNNMap.html
@@ -82,7 +82,7 @@ 
Examplessrt_ref <- panc8_sub[, panc8_sub$tech != "fluidigmc1"]
 srt_query <- panc8_sub[, panc8_sub$tech == "fluidigmc1"]
 srt_ref <- Integration_SCP(srt_ref, batch = "tech", integration_method = "Seurat")
-#> [2023-09-01 06:15:49.254966] Start Seurat_integrate
+#> [2023-09-08 16:57:17.281048] Start Seurat_integrate
 #> Error in Integration_SCP(srt_ref, batch = "tech", integration_method = "Seurat"): object 'srt_ref' not found
 CellDimPlot(srt_ref, group.by = c("celltype", "tech"))
 #> Error in DefaultReduction(srt): Unable to find any reductions.
diff --git a/reference/RunKNNPredict.html b/reference/RunKNNPredict.html
index b6225098..4ccf1a39 100644
--- a/reference/RunKNNPredict.html
+++ b/reference/RunKNNPredict.html
@@ -110,22 +110,22 @@ 
Examplesdata("pancreas_sub")
 data("ref_scMCA")
 pancreas_sub <- Standard_SCP(pancreas_sub)
-#> [2023-09-01 06:15:51.515927] Start Standard_SCP
-#> [2023-09-01 06:15:51.516217] Checking srtList... ...
+#> [2023-09-08 16:57:19.228341] Start Standard_SCP
+#> [2023-09-08 16:57:19.228637] Checking srtList... ...
 #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ...
 #> Perform FindVariableFeatures on the data 1/1 of the srtList...
 #> Use the separate HVF from srtList...
 #> Number of available HVF: 2000
-#> [2023-09-01 06:15:52.674928] Finished checking.
-#> [2023-09-01 06:15:52.675159] Perform ScaleData on the data...
-#> [2023-09-01 06:15:52.847306] Perform linear dimension reduction (pca) on the data...
-#> [2023-09-01 06:15:53.963433] Perform FindClusters (louvain) on the data...
-#> [2023-09-01 06:15:54.130611] Reorder clusters...
-#> [2023-09-01 06:15:54.414758] Perform nonlinear dimension reduction (umap) on the data...
+#> [2023-09-08 16:57:20.625969] Finished checking.
+#> [2023-09-08 16:57:20.626299] Perform ScaleData on the data...
+#> [2023-09-08 16:57:20.807471] Perform linear dimension reduction (pca) on the data...
+#> [2023-09-08 16:57:21.786276] Perform FindClusters (louvain) on the data...
+#> [2023-09-08 16:57:21.926812] Reorder clusters...
+#> [2023-09-08 16:57:22.225544] Perform nonlinear dimension reduction (umap) on the data...
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
-#> [2023-09-01 06:16:10.2961] Standard_SCP done
-#> Elapsed time: 18.78 secs 
+#> [2023-09-08 16:57:33.881285] Standard_SCP done
+#> Elapsed time: 14.65 secs 
 pancreas_sub <- RunKNNPredict(srt_query = pancreas_sub, bulk_ref = ref_scMCA)
 #> Use 535 features to calculate distance.
 #> Detected query data type: log_normalized_counts
@@ -165,8 +165,8 @@ 
Examplespanc8_sub <- RenameFeatures(panc8_sub, newnames = genenames)
 #> Rename features for the assay: RNA
 panc8_sub <- check_srtMerge(panc8_sub, batch = "tech")[["srtMerge"]]
-#> [2023-09-01 06:16:15.617582] Spliting srtMerge into srtList by column tech... ...
-#> [2023-09-01 06:16:16.227905] Checking srtList... ...
+#> [2023-09-08 16:57:39.216217] Spliting srtMerge into srtList by column tech... ...
+#> [2023-09-08 16:57:40.12257] Checking srtList... ...
 #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ...
 #> Perform FindVariableFeatures on the data 1/5 of the srtList...
 #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ...
@@ -179,7 +179,7 @@ 
Examples#> Perform FindVariableFeatures on the data 5/5 of the srtList...
 #> Use the separate HVF from srtList...
 #> Number of available HVF: 2000
-#> [2023-09-01 06:16:19.58385] Finished checking.
+#> [2023-09-08 16:57:43.53514] Finished checking.
 
 pancreas_sub <- RunKNNPredict(srt_query = pancreas_sub, srt_ref = panc8_sub, ref_group = "celltype")
 #> Use the HVF to calculate distance metric.
@@ -232,13 +232,13 @@ 
Examples  ref_group = "celltype",
   features_type = "DE", feature_source = "ref"
 )
-#> [2023-09-01 06:16:25.162524] Start DEtest
+#> [2023-09-08 16:57:48.029079] Start DEtest
 #> Workers: 1
 #> Find all markers(wilcox) among 13 groups...
 #> 
  |                                                                                                                    
  |                                                                                                              |   0%
  |                                                                                                                    
  |==============================================================================================================| 100%
 #> 
-#> [2023-09-01 06:16:36.552029] DEtest done
-#> Elapsed time:11.39 secs
+#> [2023-09-08 16:57:59.055708] DEtest done
+#> Elapsed time:11.03 secs
 #> Use the DE features from AllMarkers_wilcox to calculate distance metric.
 #> DE features number of the ref data: 2000
 #> Use 1865 features to calculate distance.
@@ -257,22 +257,22 @@ 
Examples  query_group = "SubCellType", ref_group = "celltype",
   features_type = "DE", feature_source = "both"
 )
-#> [2023-09-01 06:16:37.900793] Start DEtest
+#> [2023-09-08 16:58:00.093378] Start DEtest
 #> Workers: 1
 #> Find all markers(wilcox) among 8 groups...
 #> 
  |                                                                                                                    
  |                                                                                                              |   0%
  |                                                                                                                    
  |==============================================================================================================| 100%
 #> 
-#> [2023-09-01 06:16:41.27284] DEtest done
-#> Elapsed time:3.37 secs
+#> [2023-09-08 16:58:02.967017] DEtest done
+#> Elapsed time:2.87 secs
 #> Use the DE features from AllMarkers_wilcox to calculate distance metric.
 #> DE features number of the query data: 956
-#> [2023-09-01 06:16:41.688105] Start DEtest
+#> [2023-09-08 16:58:03.188753] Start DEtest
 #> Workers: 1
 #> Find all markers(wilcox) among 13 groups...
 #> 
  |                                                                                                                    
  |                                                                                                              |   0%
  |                                                                                                                    
  |==============================================================================================================| 100%
 #> 
-#> [2023-09-01 06:16:53.342642] DEtest done
-#> Elapsed time:11.65 secs
+#> [2023-09-08 16:58:13.594922] DEtest done
+#> Elapsed time:10.41 secs
 #> Use the DE features from AllMarkers_wilcox to calculate distance metric.
 #> DE features number of the ref data: 252
 #> Use 67 features to calculate distance.
diff --git a/reference/RunPAGA.html b/reference/RunPAGA.html
index 4878b1e4..f8de8933 100644
--- a/reference/RunPAGA.html
+++ b/reference/RunPAGA.html
@@ -56,8 +56,6 @@ 
Usage
   slot_layers = "counts",
   adata = NULL,
   group_by = NULL,
-  palette = "Paired",
-  palcolor = NULL,
   linear_reduction = NULL,
   nonlinear_reduction = NULL,
   basis = NULL,
@@ -75,6 +73,8 @@ 
Usage
   n_dcs = 10,
   n_branchings = 0,
   min_group_size = 0.01,
+  palette = "Paired",
+  palcolor = NULL,
   show_plot = TRUE,
   dpi = 300,
   save = FALSE,
diff --git a/reference/RunPCAMap.html b/reference/RunPCAMap.html
index 5083c96c..5837f202 100644
--- a/reference/RunPCAMap.html
+++ b/reference/RunPCAMap.html
@@ -78,7 +78,7 @@ 
Examplessrt_ref <- panc8_sub[, panc8_sub$tech != "fluidigmc1"]
 srt_query <- panc8_sub[, panc8_sub$tech == "fluidigmc1"]
 srt_ref <- Integration_SCP(srt_ref, batch = "tech", integration_method = "Seurat")
-#> [2023-09-01 06:18:05.529985] Start Seurat_integrate
+#> [2023-09-08 16:59:21.485943] Start Seurat_integrate
 #> Error in Integration_SCP(srt_ref, batch = "tech", integration_method = "Seurat"): object 'srt_ref' not found
 CellDimPlot(srt_ref, group.by = c("celltype", "tech"))
 #> Error in DefaultReduction(srt): Unable to find any reductions.
diff --git a/reference/RunPalantir.html b/reference/RunPalantir.html
index 9de9d315..8e454ca0 100644
--- a/reference/RunPalantir.html
+++ b/reference/RunPalantir.html
@@ -56,8 +56,6 @@ 
Usage
   slot_layers = "counts",
   adata = NULL,
   group_by = NULL,
-  palette = "Paired",
-  palcolor = NULL,
   linear_reduction = NULL,
   nonlinear_reduction = NULL,
   basis = NULL,
@@ -78,6 +76,8 @@ 
Usage
   max_iterations = 25,
   n_jobs = 8,
   point_size = 20,
+  palette = "Paired",
+  palcolor = NULL,
   show_plot = TRUE,
   dpi = 300,
   save = FALSE,
diff --git a/reference/RunSCVELO.html b/reference/RunSCVELO.html
index 3d690098..ce5a2937 100644
--- a/reference/RunSCVELO.html
+++ b/reference/RunSCVELO.html
@@ -59,8 +59,6 @@ 
Usage
   slot_layers = "counts",
   adata = NULL,
   group_by = NULL,
-  palette = "Paired",
-  palcolor = NULL,
   linear_reduction = NULL,
   nonlinear_reduction = NULL,
   basis = NULL,
@@ -85,6 +83,8 @@ 
Usage
   calculate_velocity_genes = FALSE,
   top_n = 6,
   n_jobs = 1,
+  palette = "Paired",
+  palcolor = NULL,
   show_plot = TRUE,
   dpi = 300,
   save = FALSE,
@@ -278,21 +278,21 @@ 
Examples
 
 pancreas_sub <- Standard_SCP(pancreas_sub, normalization_method = "SCT", nonlinear_reduction = "tsne")
-#> [2023-09-01 06:19:44.411433] Start Standard_SCP
-#> [2023-09-01 06:19:44.41202] Checking srtList... ...
+#> [2023-09-08 17:01:19.405107] Start Standard_SCP
+#> [2023-09-08 17:01:19.405418] Checking srtList... ...
 #> Perform FindVariableFeatures on the data 1/1 of the srtList...
 #> Perform SCTransform on the data 1 of the srtList...
 #> Use the separate HVF from srtList...
 #> Number of available HVF: 2000
-#> [2023-09-01 06:19:59.688846] Finished checking.
-#> [2023-09-01 06:19:59.689076] Perform linear dimension reduction (pca) on the data...
-#> [2023-09-01 06:20:00.741204] Perform FindClusters (louvain) on the data...
-#> [2023-09-01 06:20:00.992314] Reorder clusters...
-#> [2023-09-01 06:20:01.334325] Perform nonlinear dimension reduction (tsne) on the data...
+#> [2023-09-08 17:01:39.573812] Finished checking.
+#> [2023-09-08 17:01:39.574053] Perform linear dimension reduction (pca) on the data...
+#> [2023-09-08 17:01:40.743525] Perform FindClusters (louvain) on the data...
+#> [2023-09-08 17:01:40.927927] Reorder clusters...
+#> [2023-09-08 17:01:41.352883] Perform nonlinear dimension reduction (tsne) on the data...
 #> Non-linear dimensionality reduction(tsne) using Reduction(Standardpca, dims:1-11) as input
 #> Non-linear dimensionality reduction(tsne) using Reduction(Standardpca, dims:1-11) as input
-#> [2023-09-01 06:20:12.709804] Standard_SCP done
-#> Elapsed time: 28.3 secs 
+#> [2023-09-08 17:01:55.159973] Standard_SCP done
+#> Elapsed time: 35.75 secs 
 pancreas_sub <- RunSCVELO(srt = pancreas_sub, assay_X = "SCT", group_by = "SubCellType", linear_reduction = "Standardpca", nonlinear_reduction = "StandardTSNE2D")
 #> Assay 'RNA' is in the srt object but not converted.
 #> Assay 'Ms' is in the srt object but not converted.
diff --git a/reference/RunScmap.html b/reference/RunScmap.html
index df3f786c..89115042 100644
--- a/reference/RunScmap.html
+++ b/reference/RunScmap.html
@@ -76,8 +76,8 @@ 
Examplespanc8_sub <- RenameFeatures(panc8_sub, newnames = genenames)
 #> Rename features for the assay: RNA
 panc8_sub <- check_srtMerge(panc8_sub, batch = "tech")[["srtMerge"]]
-#> [2023-09-01 06:20:50.264089] Spliting srtMerge into srtList by column tech... ...
-#> [2023-09-01 06:20:51.098092] Checking srtList... ...
+#> [2023-09-08 17:02:36.471279] Spliting srtMerge into srtList by column tech... ...
+#> [2023-09-08 17:02:37.473925] Checking srtList... ...
 #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ...
 #> Perform FindVariableFeatures on the data 1/5 of the srtList...
 #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ...
@@ -90,27 +90,27 @@ 
Examples#> Perform FindVariableFeatures on the data 5/5 of the srtList...
 #> Use the separate HVF from srtList...
 #> Number of available HVF: 2000
-#> [2023-09-01 06:20:57.683768] Finished checking.
+#> [2023-09-08 17:02:42.007008] Finished checking.
 
 # Annotation
 data("pancreas_sub")
 pancreas_sub <- Standard_SCP(pancreas_sub)
-#> [2023-09-01 06:21:00.393223] Start Standard_SCP
-#> [2023-09-01 06:21:00.393472] Checking srtList... ...
+#> [2023-09-08 17:02:44.629332] Start Standard_SCP
+#> [2023-09-08 17:02:44.629618] Checking srtList... ...
 #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ...
 #> Perform FindVariableFeatures on the data 1/1 of the srtList...
 #> Use the separate HVF from srtList...
 #> Number of available HVF: 2000
-#> [2023-09-01 06:21:01.522702] Finished checking.
-#> [2023-09-01 06:21:01.522979] Perform ScaleData on the data...
-#> [2023-09-01 06:21:01.710423] Perform linear dimension reduction (pca) on the data...
-#> [2023-09-01 06:21:02.800743] Perform FindClusters (louvain) on the data...
-#> [2023-09-01 06:21:02.94] Reorder clusters...
-#> [2023-09-01 06:21:03.222247] Perform nonlinear dimension reduction (umap) on the data...
+#> [2023-09-08 17:02:46.040177] Finished checking.
+#> [2023-09-08 17:02:46.040454] Perform ScaleData on the data...
+#> [2023-09-08 17:02:46.264681] Perform linear dimension reduction (pca) on the data...
+#> [2023-09-08 17:02:47.313702] Perform FindClusters (louvain) on the data...
+#> [2023-09-08 17:02:47.473329] Reorder clusters...
+#> [2023-09-08 17:02:47.781681] Perform nonlinear dimension reduction (umap) on the data...
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
-#> [2023-09-01 06:21:18.042687] Standard_SCP done
-#> Elapsed time: 17.65 secs 
+#> [2023-09-08 17:03:00.469146] Standard_SCP done
+#> Elapsed time: 15.84 secs 
 pancreas_sub <- RunScmap(
   srt_query = pancreas_sub, srt_ref = panc8_sub,
   ref_group = "celltype", method = "scmapCluster"
diff --git a/reference/RunSeuratMap.html b/reference/RunSeuratMap.html
index 9872b97b..cf889e1e 100644
--- a/reference/RunSeuratMap.html
+++ b/reference/RunSeuratMap.html
@@ -84,7 +84,7 @@ 
Examplessrt_ref <- panc8_sub[, panc8_sub$tech != "fluidigmc1"]
 srt_query <- panc8_sub[, panc8_sub$tech == "fluidigmc1"]
 srt_ref <- Integration_SCP(srt_ref, batch = "tech", integration_method = "Seurat")
-#> [2023-09-01 06:21:29.204125] Start Seurat_integrate
+#> [2023-09-08 17:03:16.691936] Start Seurat_integrate
 #> Error in Integration_SCP(srt_ref, batch = "tech", integration_method = "Seurat"): object 'srt_ref' not found
 CellDimPlot(srt_ref, group.by = c("celltype", "tech"))
 #> Error in DefaultReduction(srt): Unable to find any reductions.
diff --git a/reference/RunSingleR.html b/reference/RunSingleR.html
index 9a9e1d7a..3143dec7 100644
--- a/reference/RunSingleR.html
+++ b/reference/RunSingleR.html
@@ -84,8 +84,8 @@ 
Examplespanc8_sub <- RenameFeatures(panc8_sub, newnames = genenames)
 #> Rename features for the assay: RNA
 panc8_sub <- check_srtMerge(panc8_sub, batch = "tech")[["srtMerge"]]
-#> [2023-09-01 06:21:31.25918] Spliting srtMerge into srtList by column tech... ...
-#> [2023-09-01 06:21:31.783568] Checking srtList... ...
+#> [2023-09-08 17:03:18.859759] Spliting srtMerge into srtList by column tech... ...
+#> [2023-09-08 17:03:19.629709] Checking srtList... ...
 #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ...
 #> Perform FindVariableFeatures on the data 1/5 of the srtList...
 #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ...
@@ -98,27 +98,27 @@ 
Examples#> Perform FindVariableFeatures on the data 5/5 of the srtList...
 #> Use the separate HVF from srtList...
 #> Number of available HVF: 2000
-#> [2023-09-01 06:21:34.718592] Finished checking.
+#> [2023-09-08 17:03:23.728776] Finished checking.
 
 # Annotation
 data("pancreas_sub")
 pancreas_sub <- Standard_SCP(pancreas_sub)
-#> [2023-09-01 06:21:36.66201] Start Standard_SCP
-#> [2023-09-01 06:21:36.662215] Checking srtList... ...
+#> [2023-09-08 17:03:26.163061] Start Standard_SCP
+#> [2023-09-08 17:03:26.163327] Checking srtList... ...
 #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ...
 #> Perform FindVariableFeatures on the data 1/1 of the srtList...
 #> Use the separate HVF from srtList...
 #> Number of available HVF: 2000
-#> [2023-09-01 06:21:37.612662] Finished checking.
-#> [2023-09-01 06:21:37.612869] Perform ScaleData on the data...
-#> [2023-09-01 06:21:37.727934] Perform linear dimension reduction (pca) on the data...
-#> [2023-09-01 06:21:38.602885] Perform FindClusters (louvain) on the data...
-#> [2023-09-01 06:21:38.722701] Reorder clusters...
-#> [2023-09-01 06:21:38.911543] Perform nonlinear dimension reduction (umap) on the data...
+#> [2023-09-08 17:03:27.369733] Finished checking.
+#> [2023-09-08 17:03:27.370005] Perform ScaleData on the data...
+#> [2023-09-08 17:03:27.592314] Perform linear dimension reduction (pca) on the data...
+#> [2023-09-08 17:03:28.707021] Perform FindClusters (louvain) on the data...
+#> [2023-09-08 17:03:28.874494] Reorder clusters...
+#> [2023-09-08 17:03:29.193243] Perform nonlinear dimension reduction (umap) on the data...
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
-#> [2023-09-01 06:21:47.912138] Standard_SCP done
-#> Elapsed time: 11.25 secs 
+#> [2023-09-08 17:03:41.320049] Standard_SCP done
+#> Elapsed time: 15.16 secs 
 pancreas_sub <- RunSingleR(
   srt_query = pancreas_sub, srt_ref = panc8_sub,
   query_group = "Standardclusters", ref_group = "celltype",
diff --git a/reference/RunSlingshot.html b/reference/RunSlingshot.html
index 4b9e098e..5cbe42c1 100644
--- a/reference/RunSlingshot.html
+++ b/reference/RunSlingshot.html
@@ -86,22 +86,22 @@ 
Examples
 # 3D lineage
 pancreas_sub <- Standard_SCP(pancreas_sub)
-#> [2023-09-01 06:22:16.50018] Start Standard_SCP
-#> [2023-09-01 06:22:16.500357] Checking srtList... ...
+#> [2023-09-08 17:04:24.402359] Start Standard_SCP
+#> [2023-09-08 17:04:24.402606] Checking srtList... ...
 #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ...
 #> Perform FindVariableFeatures on the data 1/1 of the srtList...
 #> Use the separate HVF from srtList...
 #> Number of available HVF: 2000
-#> [2023-09-01 06:22:17.534477] Finished checking.
-#> [2023-09-01 06:22:17.534685] Perform ScaleData on the data...
-#> [2023-09-01 06:22:17.737728] Perform linear dimension reduction (pca) on the data...
-#> [2023-09-01 06:22:18.486699] Perform FindClusters (louvain) on the data...
-#> [2023-09-01 06:22:18.604857] Reorder clusters...
-#> [2023-09-01 06:22:18.789856] Perform nonlinear dimension reduction (umap) on the data...
+#> [2023-09-08 17:04:25.696988] Finished checking.
+#> [2023-09-08 17:04:25.69725] Perform ScaleData on the data...
+#> [2023-09-08 17:04:25.863002] Perform linear dimension reduction (pca) on the data...
+#> [2023-09-08 17:04:26.921353] Perform FindClusters (louvain) on the data...
+#> [2023-09-08 17:04:27.098075] Reorder clusters...
+#> [2023-09-08 17:04:27.34966] Perform nonlinear dimension reduction (umap) on the data...
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
-#> [2023-09-01 06:22:28.141935] Standard_SCP done
-#> Elapsed time: 11.64 secs 
+#> [2023-09-08 17:04:39.894188] Standard_SCP done
+#> Elapsed time: 15.49 secs 
 pancreas_sub <- RunSlingshot(pancreas_sub, group.by = "SubCellType", reduction = "StandardpcaUMAP3D")
 CellDimPlot(pancreas_sub, group.by = "SubCellType", reduction = "UMAP", lineages = paste0("Lineage", 1:3), lineages_span = 0.1, lineages_trim = c(0.05, 0.95))
 
diff --git a/reference/RunSymphonyMap.html b/reference/RunSymphonyMap.html
index 58f0fdb4..1e0817f7 100644
--- a/reference/RunSymphonyMap.html
+++ b/reference/RunSymphonyMap.html
@@ -78,13 +78,41 @@ 
Examplessrt_ref <- panc8_sub[, panc8_sub$tech != "fluidigmc1"]
 srt_query <- panc8_sub[, panc8_sub$tech == "fluidigmc1"]
 srt_ref <- Integration_SCP(srt_ref, batch = "tech", integration_method = "Harmony")
-#> [2023-09-01 06:22:33.530518] Start Harmony_integrate
+#> [2023-09-08 17:04:46.913519] Start Harmony_integrate
 #> Error in Integration_SCP(srt_ref, batch = "tech", integration_method = "Harmony"): object 'srt_ref' not found
 CellDimPlot(srt_ref, group.by = c("celltype", "tech"))
 #> Error in DefaultReduction(srt): Unable to find any reductions.
 
 # Projection
 srt_query <- RunSymphonyMap(srt_query = srt_query, srt_ref = srt_ref, ref_pca = "Harmonypca", ref_harmony = "Harmony", ref_umap = "HarmonyUMAP2D")
+#> Install package: "symphony" ...
+#> 'getOption("repos")' replaces Bioconductor standard repositories, see 'help("repositories", package = "BiocManager")'
+#> for details.
+#> Replacement repositories:
+#>     CRAN: https://cloud.r-project.org
+#> Bioconductor version 3.17 (BiocManager 1.30.22), R 4.3.1 (2023-06-16)
+#> Installing github package(s) 'immunogenomics/symphony'
+#> Warning: package ‘immunogenomics/symphony’ is not available for this version of R
+#> 
+#> A version of this package for your version of R might be available elsewhere,
+#> see the ideas at
+#> https://cran.r-project.org/doc/manuals/r-patched/R-admin.html#Installing-packages
+#> Using github PAT from envvar GITHUB_PAT
+#> Downloading GitHub repo immunogenomics/symphony@HEAD
+#> Installing 2 packages: sitmo, harmony
+#> Installing packages into ‘/home/runner/work/_temp/Library’
+#> (as ‘lib’ is unspecified)
+#> ── R CMD build ─────────────────────────────────────────────────────────────────────────────────────────────────────────
+#> * checking for file ‘/tmp/Rtmp5K7zMn/remotes8ff11fff36d3/immunogenomics-symphony-bf7aaf9/DESCRIPTION’ ... OK
+#> * preparing ‘symphony’:
+#> * checking DESCRIPTION meta-information ... OK
+#> * cleaning src
+#> * checking for LF line-endings in source and make files and shell scripts
+#> * checking for empty or unneeded directories
+#> * building ‘symphony_0.1.1.tar.gz’
+#> 
+#> Installing package into ‘/home/runner/work/_temp/Library’
+#> (as ‘lib’ is unspecified)
 #> Error: Cannot find 'Harmonypca' in this Seurat object
 ProjectionPlot(srt_query = srt_query, srt_ref = srt_ref, query_group = "celltype", ref_group = "celltype")
 #> Error: Cannot find 'ref.embeddings' in this Seurat object
diff --git a/reference/RunWOT.html b/reference/RunWOT.html
index 451c699d..9cd8e156 100644
--- a/reference/RunWOT.html
+++ b/reference/RunWOT.html
@@ -56,28 +56,15 @@ 
Usage
   slot_layers = "counts",
   adata = NULL,
   group_by = NULL,
+  time_field = "Time",
+  growth_iters = 3L,
+  tmap_out = "tmaps/tmap_out",
+  time_from = 1,
+  time_to = NULL,
+  get_coupling = FALSE,
+  recalculate = FALSE,
   palette = "Paired",
   palcolor = NULL,
-  linear_reduction = NULL,
-  nonlinear_reduction = NULL,
-  basis = NULL,
-  n_pcs = 30,
-  n_neighbors = 30,
-  dm_n_components = 10,
-  dm_alpha = 0,
-  dm_n_eigs = NULL,
-  early_group = NULL,
-  terminal_groups = NULL,
-  early_cell = NULL,
-  terminal_cells = NULL,
-  num_waypoints = 1200,
-  scale_components = TRUE,
-  use_early_cell_as_start = TRUE,
-  adjust_early_cell = FALSE,
-  adjust_terminal_cells = FALSE,
-  max_iterations = 25,
-  n_jobs = 8,
-  point_size = 20,
   show_plot = TRUE,
   dpi = 300,
   save = FALSE,
@@ -101,30 +88,6 @@ 
ArgumentsValue
Examples

     
data("pancreas_sub")
 pancreas_sub <- Standard_SCP(srt = pancreas_sub)
-#> [2023-09-01 06:22:36.736677] Start Standard_SCP
-#> [2023-09-01 06:22:36.736918] Checking srtList... ...
+#> [2023-09-08 17:05:50.760993] Start Standard_SCP
+#> [2023-09-08 17:05:50.761451] Checking srtList... ...
 #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ...
 #> Perform FindVariableFeatures on the data 1/1 of the srtList...
 #> Use the separate HVF from srtList...
 #> Number of available HVF: 2000
-#> [2023-09-01 06:22:37.764206] Finished checking.
-#> [2023-09-01 06:22:37.76443] Perform ScaleData on the data...
-#> [2023-09-01 06:22:37.89715] Perform linear dimension reduction (pca) on the data...
-#> [2023-09-01 06:22:38.705229] Perform FindClusters (louvain) on the data...
-#> [2023-09-01 06:22:38.82887] Reorder clusters...
-#> [2023-09-01 06:22:39.035958] Perform nonlinear dimension reduction (umap) on the data...
+#> [2023-09-08 17:05:53.85542] Finished checking.
+#> [2023-09-08 17:05:53.855907] Perform ScaleData on the data...
+#> [2023-09-08 17:05:54.699275] Perform linear dimension reduction (pca) on the data...
+#> [2023-09-08 17:05:56.043133] Perform FindClusters (louvain) on the data...
+#> [2023-09-08 17:05:56.320433] Reorder clusters...
+#> [2023-09-08 17:05:56.766112] Perform nonlinear dimension reduction (umap) on the data...
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
-#> [2023-09-01 06:22:50.379546] Standard_SCP done
-#> Elapsed time: 13.64 secs 
+#> [2023-09-08 17:06:10.12223] Standard_SCP done
+#> Elapsed time: 19.36 secs 
 CellDimPlot(pancreas_sub, group.by = "SubCellType")
 
 
@@ -195,51 +195,58 @@ 
Examples  linear_reduction = linear_reductions,
   nonlinear_reduction = "umap"
 )
-#> [2023-09-01 06:22:50.615363] Start Standard_SCP
-#> [2023-09-01 06:22:50.615553] Checking srtList... ...
+#> [2023-09-08 17:06:10.466565] Start Standard_SCP
+#> [2023-09-08 17:06:10.466788] Checking srtList... ...
 #> Data 1/1 of the srtList has been log-normalized.
 #> Perform FindVariableFeatures on the data 1/1 of the srtList...
 #> Use the separate HVF from srtList...
 #> Number of available HVF: 2000
-#> [2023-09-01 06:22:51.531924] Finished checking.
-#> [2023-09-01 06:22:51.532145] Perform ScaleData on the data...
-#> [2023-09-01 06:22:51.719143] Perform linear dimension reduction (pca) on the data...
-#> [2023-09-01 06:22:52.546866] Perform FindClusters (louvain) on the data...
-#> [2023-09-01 06:22:52.684227] Reorder clusters...
-#> [2023-09-01 06:22:52.911672] Perform nonlinear dimension reduction (umap) on the data...
+#> [2023-09-08 17:06:11.70359] Finished checking.
+#> [2023-09-08 17:06:11.703821] Perform ScaleData on the data...
+#> [2023-09-08 17:06:11.909945] Perform linear dimension reduction (pca) on the data...
+#> [2023-09-08 17:06:13.16026] Perform FindClusters (louvain) on the data...
+#> [2023-09-08 17:06:13.417075] Reorder clusters...
+#> [2023-09-08 17:06:13.765565] Perform nonlinear dimension reduction (umap) on the data...
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
-#> [2023-09-01 06:23:01.923138] Perform linear dimension reduction (ica) on the data...
-#> [2023-09-01 06:23:03.708636] Perform FindClusters (louvain) on the data...
-#> [2023-09-01 06:23:03.876306] Reorder clusters...
-#> [2023-09-01 06:23:04.125749] Perform nonlinear dimension reduction (umap) on the data...
+#> [2023-09-08 17:06:26.087924] Perform linear dimension reduction (ica) on the data...
+#> [2023-09-08 17:06:28.262914] Perform FindClusters (louvain) on the data...
+#> [2023-09-08 17:06:28.476332] Reorder clusters...
+#> [2023-09-08 17:06:28.848974] Perform nonlinear dimension reduction (umap) on the data...
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardica, dims:1-17) as input
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardica, dims:1-17) as input
-#> [2023-09-01 06:23:13.251146] Perform linear dimension reduction (nmf) on the data...
+#> [2023-09-08 17:06:40.686126] Perform linear dimension reduction (nmf) on the data...
 #> 
 #> Attaching package: ‘Matrix’
 #> The following object is masked from ‘package:S4Vectors’:
 #> 
 #>     expand
-#> [2023-09-01 06:23:27.482324] Perform FindClusters (louvain) on the data...
-#> [2023-09-01 06:23:27.656842] Reorder clusters...
-#> [2023-09-01 06:23:27.981529] Perform nonlinear dimension reduction (umap) on the data...
+#> [2023-09-08 17:06:57.613822] Perform FindClusters (louvain) on the data...
+#> [2023-09-08 17:06:57.82821] Reorder clusters...
+#> [2023-09-08 17:06:58.265986] Perform nonlinear dimension reduction (umap) on the data...
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardnmf, dims:1-50) as input
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardnmf, dims:1-50) as input
-#> [2023-09-01 06:23:37.79272] Perform linear dimension reduction (mds) on the data...
-#> [2023-09-01 06:23:46.281587] Perform FindClusters (louvain) on the data...
-#> [2023-09-01 06:23:46.472513] Reorder clusters...
-#> [2023-09-01 06:23:46.849372] Perform nonlinear dimension reduction (umap) on the data...
+#> [2023-09-08 17:07:10.318304] Perform linear dimension reduction (mds) on the data...
+#> [2023-09-08 17:07:25.897137] Perform FindClusters (louvain) on the data...
+#> [2023-09-08 17:07:26.127641] Reorder clusters...
+#> [2023-09-08 17:07:26.61731] Perform nonlinear dimension reduction (umap) on the data...
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardmds, dims:1-13) as input
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardmds, dims:1-13) as input
-#> [2023-09-01 06:23:58.179663] Perform linear dimension reduction (glmpca) on the data...
-#> [2023-09-01 06:25:16.17883] Perform FindClusters (louvain) on the data...
-#> [2023-09-01 06:25:16.452858] Reorder clusters...
-#> [2023-09-01 06:25:17.119577] Perform nonlinear dimension reduction (umap) on the data...
+#> [2023-09-08 17:07:38.220196] Perform linear dimension reduction (glmpca) on the data...
+#> Install package: "glmpca" ...
+#> 'getOption("repos")' replaces Bioconductor standard repositories, see 'help("repositories", package = "BiocManager")'
+#> for details.
+#> Replacement repositories:
+#>     CRAN: https://cloud.r-project.org
+#> Bioconductor version 3.17 (BiocManager 1.30.22), R 4.3.1 (2023-06-16)
+#> Installing package(s) 'glmpca'
+#> [2023-09-08 17:09:12.493897] Perform FindClusters (louvain) on the data...
+#> [2023-09-08 17:09:12.780734] Reorder clusters...
+#> [2023-09-08 17:09:13.33401] Perform nonlinear dimension reduction (umap) on the data...
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardglmpca, dims:1-50) as input
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardglmpca, dims:1-50) as input
-#> [2023-09-01 06:25:28.085716] Standard_SCP done
-#> Elapsed time: 2.62 mins 
+#> [2023-09-08 17:09:25.676037] Standard_SCP done
+#> Elapsed time: 3.25 mins 
 plist1 <- lapply(linear_reductions, function(lr) CellDimPlot(pancreas_sub, group.by = "SubCellType", reduction = paste0("Standard", lr, "UMAP2D"), theme_use = "theme_blank"))
 patchwork::wrap_plots(plotlist = plist1)
 
@@ -250,49 +257,49 @@ 
Examples  linear_reduction = "pca",
   nonlinear_reduction = nonlinear_reductions
 )
-#> [2023-09-01 06:25:30.155188] Start Standard_SCP
-#> [2023-09-01 06:25:30.155459] Checking srtList... ...
+#> [2023-09-08 17:09:27.48035] Start Standard_SCP
+#> [2023-09-08 17:09:27.480591] Checking srtList... ...
 #> Data 1/1 of the srtList has been log-normalized.
 #> Perform FindVariableFeatures on the data 1/1 of the srtList...
 #> Use the separate HVF from srtList...
 #> Number of available HVF: 2000
-#> [2023-09-01 06:25:32.44742] Finished checking.
-#> [2023-09-01 06:25:32.447702] Perform ScaleData on the data...
-#> [2023-09-01 06:25:33.178162] Perform linear dimension reduction (pca) on the data...
-#> [2023-09-01 06:25:35.315243] Perform FindClusters (louvain) on the data...
-#> [2023-09-01 06:25:35.553905] Reorder clusters...
-#> [2023-09-01 06:25:36.032857] Perform nonlinear dimension reduction (umap) on the data...
+#> [2023-09-08 17:09:28.899961] Finished checking.
+#> [2023-09-08 17:09:28.900202] Perform ScaleData on the data...
+#> [2023-09-08 17:09:29.317436] Perform linear dimension reduction (pca) on the data...
+#> [2023-09-08 17:09:30.789099] Perform FindClusters (louvain) on the data...
+#> [2023-09-08 17:09:31.063849] Reorder clusters...
+#> [2023-09-08 17:09:31.66431] Perform nonlinear dimension reduction (umap) on the data...
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
 #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input
-#> [2023-09-01 06:25:48.432316] Perform nonlinear dimension reduction (tsne) on the data...
+#> [2023-09-08 17:09:43.929346] Perform nonlinear dimension reduction (tsne) on the data...
 #> Non-linear dimensionality reduction(tsne) using Reduction(Standardpca, dims:1-13) as input
 #> Non-linear dimensionality reduction(tsne) using Reduction(Standardpca, dims:1-13) as input
-#> [2023-09-01 06:25:59.227848] Perform nonlinear dimension reduction (dm) on the data...
+#> [2023-09-08 17:09:57.202953] Perform nonlinear dimension reduction (dm) on the data...
 #> Non-linear dimensionality reduction(dm) using Reduction(Standardpca, dims:1-13) as input
 #> Warning: 'as(<dsCMatrix>, "dsTMatrix")' is deprecated.
 #> Use 'as(., "TsparseMatrix")' instead.
 #> See help("Deprecated") and help("Matrix-deprecated").
 #> Non-linear dimensionality reduction(dm) using Reduction(Standardpca, dims:1-13) as input
-#> [2023-09-01 06:26:00.976073] Perform nonlinear dimension reduction (phate) on the data...
+#> [2023-09-08 17:09:59.403583] Perform nonlinear dimension reduction (phate) on the data...
 #> Non-linear dimensionality reduction(phate) using Reduction(Standardpca, dims:1-13) as input
 #> Try to install phate ...
 #> Non-linear dimensionality reduction(phate) using Reduction(Standardpca, dims:1-13) as input
-#> [2023-09-01 06:26:33.457733] Perform nonlinear dimension reduction (pacmap) on the data...
+#> [2023-09-08 17:10:42.080668] Perform nonlinear dimension reduction (pacmap) on the data...
 #> Non-linear dimensionality reduction(pacmap) using Reduction(Standardpca, dims:1-13) as input
 #> Try to install pacmap ...
 #> Non-linear dimensionality reduction(pacmap) using Reduction(Standardpca, dims:1-13) as input
-#> [2023-09-01 06:27:10.320249] Perform nonlinear dimension reduction (trimap) on the data...
+#> [2023-09-08 17:11:29.313919] Perform nonlinear dimension reduction (trimap) on the data...
 #> Non-linear dimensionality reduction(trimap) using Reduction(Standardpca, dims:1-13) as input
 #> Try to install trimap ...
 #> Non-linear dimensionality reduction(trimap) using Reduction(Standardpca, dims:1-13) as input
-#> [2023-09-01 06:27:35.979561] Perform nonlinear dimension reduction (largevis) on the data...
+#> [2023-09-08 17:12:00.973592] Perform nonlinear dimension reduction (largevis) on the data...
 #> Non-linear dimensionality reduction(largevis) using Reduction(Standardpca, dims:1-13) as input
 #> Non-linear dimensionality reduction(largevis) using Reduction(Standardpca, dims:1-13) as input
-#> [2023-09-01 06:35:01.141008] Perform nonlinear dimension reduction (fr) on the data...
+#> [2023-09-08 17:19:54.581726] Perform nonlinear dimension reduction (fr) on the data...
 #> Non-linear dimensionality reduction(fr) using Graphs(Standardpca_SNN) as input
 #> Non-linear dimensionality reduction(fr) using Graphs(Standardpca_SNN) as input
-#> [2023-09-01 06:35:05.269222] Standard_SCP done
-#> Elapsed time: 9.59 mins 
+#> [2023-09-08 17:20:00.413985] Standard_SCP done
+#> Elapsed time: 10.55 mins 
 plist2 <- lapply(nonlinear_reductions, function(nr) CellDimPlot(pancreas_sub, group.by = "SubCellType", reduction = paste0("Standardpca", toupper(nr), "2D"), theme_use = "theme_blank"))
 patchwork::wrap_plots(plotlist = plist2)
 
diff --git a/reference/StatPlot.html b/reference/StatPlot.html
index e1050934..bbd10047 100644
--- a/reference/StatPlot.html
+++ b/reference/StatPlot.html
@@ -140,7 +140,7 @@ 
Examples
 pancreas_sub <- AnnotateFeatures(pancreas_sub, species = "Mus_musculus", IDtype = "symbol", db = "GeneType")
 #> Species: Mus_musculus
-#> Loading cached db: GeneType version:3.17.0 nterm:11 created:2023-09-01 05:04:27.254224
+#> Loading cached db: GeneType version:3.17.0 nterm:11 created:2023-09-08 15:21:08.639145
 head(pancreas_sub[["RNA"]]@meta.features)
 #>               highly_variable_genes       GeneType
 #> Mrpl15                        False protein-coding
diff --git a/reference/VolcanoPlot.html b/reference/VolcanoPlot.html
index b93a0663..e0d6f588 100644
--- a/reference/VolcanoPlot.html
+++ b/reference/VolcanoPlot.html
@@ -92,13 +92,13 @@ 
Examples
data("pancreas_sub")
 pancreas_sub <- RunDEtest(pancreas_sub, group_by = "CellType", only.pos = FALSE)
 #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data.
-#> [2023-09-01 06:35:52.518843] Start DEtest
+#> [2023-09-08 17:21:01.832187] Start DEtest
 #> Workers: 1
 #> Find all markers(wilcox) among 5 groups...
 #> 
  |                                                                                                                    
  |                                                                                                              |   0%
  |                                                                                                                    
  |==============================================================================================================| 100%
 #> 
-#> [2023-09-01 06:36:00.068345] DEtest done
-#> Elapsed time:7.55 secs
+#> [2023-09-08 17:21:12.563734] DEtest done
+#> Elapsed time:10.73 secs
 VolcanoPlot(pancreas_sub, group_by = "CellType")
 
 VolcanoPlot(pancreas_sub, group_by = "CellType", DE_threshold = "abs(diff_pct) > 0.3 & p_val_adj < 0.05")
diff --git a/reference/db_DoubletDetection-1.png b/reference/db_DoubletDetection-1.png
index e59add203865491d2bdbaf1d123370b6c9bbf550..9cca636569fdaf589922ad92ec5914aed70355d3 100644
GIT binary patch
literal 142354
zcmce;cT`hd^fnk!EEEe0C{>Z7bm>x6klv(skluUfO??Fc0qH{M9YXIN6zQE%B!SR-
zFQJz?@qK?Y-~2Iu%(rGuRy0}3<=%78*?T|Fe)c{IQc{p4!Y9XvKp;fYQsT-G2%b9x
za?R-04e$vnHf;yI+%S@r6bG;1aUxdl2VQPFNNG7kAXI_ae>mZbyQUDx6Nt3<8&&tj
zjVbf*bZ$OZyNZha<*z2u`u#cX#JG4pxb%dKK~LU%OzkFRAdj(x9|DaHb49oGCqJQd#`ulsg&{NqHKF#@6R&_b`M|{JZ
zy$3md7Z>CSlG&Dr(pD)0(>Q+z2!Y6IHh*{oUs|7uJrUse?=wT+`#ZS*zJDD`JA?P{
zTYvI*Ed>7^!4vFH_TO8phdAv2y&ZXutN-8I-1pZT{(GyGam)R`tEEc(zdW(hGxR|=
zU)QWd=d8oZNS+E=1J%E0wMwxqy$N9<$+lcu8OrdS`FOL!e1KZ`@_2r2dppiDLA%l_
z#&v5lPp{r}wVlF#L`_4FzJ97Hb-riOsoSi)tyF)-HH1D!Ca<_yG4L+UnDc;e4r7Y9
za=7r}584PRN0=Og^PA@R&WLBHOMK0F2A6wr0xm1xb=l&I>bC?o(TzIxerKq~U3c~0
zj(=~iWzW2K`KLT$BWgq>rTN+qg1bUH{^&FG(c15z2jxgK82>YxldmENX?OEVOC6IX
z`DPDM_TvM-hg{ObT~UmcuA4{#q}@vwH#h64Iw+T&ThmV$hNvMy^zNN0w`m`>YDa#`
z)5GfKLc#3@=Lzb6r=R7;MZkxGgyPRC={U^V;BY;+sVp74TGO%Ft%(bfquPPh)Aiz%
zj-grIOoV0Qnp$xJFH4O6rQc=o)oF3hUd`XxG&FrW(-s_~kOS@G8DF_6di=&QsbhYq
zL-f*7`09KgKd`lXd7tSazD$;~fa}JOrlZE~)qHr7_V4%OO-X`oYd+gvDNU!N#cN%R
zDI+Z{{)d|=x1SvsGdD#wof4ZbP|a!v1}XSoK5@o>JKUOr_psF$n4Ddl9kJKX|1~rJ
zm@mXcnx*Ky*y`xsWbZT7bWySQBJ-YSBiB~F{j|uG$8wTWt*(H>OpEuOa*J2d7P(7c
z)sbbUvW_RZvfPOR(EJ6c?@5orm=}6Kxoop+qM)dDiF|XaUL(?FF-Bu;H77-%x8q+!
zmL;Yq_pd!16uTSqPd&}$P9SE}-p@;Ywuny8_heDPY2mBL&d0mGZTXj^nU+lY(_*0)C1eEbD{vE{ZN
zDa#fyupEV0RW&!y!P@9W-}HIt<@VL3;{5!42xrs8^N09#M`*8*o~xa^R~(y%Nl8g{
zvjG&rJ=0g0M{#ZcnQ^yx&X4BVj5T}U6A0<7k0IOSp@
zMa}2(cy}II<7n)7k`_pvP;F)j#x-tRJ(aDJqaa^DMZ`CmdbU-sC@(LsRvo`iOf(?0
z|IM!HWJxQqx>i>~9bP%-d?zsD__*n83qj>J`4VoN41G#Z?&;}SVb+&0=fpw^b7VMl
zYucxp@;RD{%#Rb!t^Chk=tGE!{ONpvp^O2?=CQ3|mhbKNS%{F#7rAPsxhy&U1KbU1
zU7S?@QsJ<1+ea}@-*fdFSmBG=yMBZ1p%gs){QT_3@%i=jIvRS=(Zs&qJ`faAz9feV
z)$VF~d7Tw>+voyoXzTDg+EQbSgP;75r3U$v@yuUr`!&<8+S+@;?ojflsxoDP6%(gT
zyGi4%#LCLrX1iUxoSgq=eqrZG-riGXR4b3n=<4#q6NN&n>-u8N+dSDrqEu7v%iA~L
znWiKq3d|y;{MECFuXfEBhj_Q8L{GXD^Oc@UMUE946dPQuX^@kXE3?I^q$w$Z|GCLW
zBc4ef^x6BW@J+cO8p2n-p>A$uGzLDH(Q>3YW^I(dr&P0GDf~bCWWd!Qi7xiVz)$<#
znlh*aT{~A@x;Y4Ir|cS+c#2=dKb{yJRf8^V%!iBWdpB5*7rmk}PE#68azktBUSf*<
z3bDZsS!o^DpkGYb`u)Qr{2QO^HmguB3!M>jgnhzZhbyyzG|Brf<#{R{#|x{``AbV?
zT7~M51D?W1nNkLF`e1zPRNL->)b2AMJ#PP6{96c^hG0uWg(uyJ{nPJqz
zOwy;n8AZ~taSyqfq+l*RU%>8n(&H?Woktw>4;}Em{Is;$PvPbXX1mKo_U^5CG~2p_
zL_{PsiW;r%oUlIiGRh!vtIPk1hO{&9`i}o}i15zyMzxO2cZA0Y`&F_0)S?bw{&kbL
z&F|{SkBsK(B<1R);BcbCQpGV~13S5|Xb`G?2a
zw3$(9!}(!cpPBXl?K*#|Y*F7(az(8a_+Pq{Qz#>)l{w=Zc0S7Qwp_dWkj8$xNl(96
z!>+pic-}=IMD$Le75I&>}U?AS!8A3u&C6{*!NGMU&u8bAL(gH20F!iPug
ziImF;)3bLcaCC8@~DW4xt&J7n6CAIfu8vR4!e4yb#Y_W@v)@n>HAXdU%LE)&khSf
zBpdd(sS;Jlaqe&DrfQxpb_3?-dA{2b(`7O;I+|tgv#wKjdAc5gI=?(>9?zDCF~v4$
z;*S+*sd%6NexTTEm4Zg2BNt`3jI1~RFRN(_-Uno%_Lx6L#&RH8*xA*leo9{%H$5lE
zygy8Mdc(Dz*KRVme!EHMuJFNk2?+_8Rw6#BNZN?6SXf}+g1~DQB4vZay}Z0)r0C2h
zmq8d|7HK-)>oF~#_+QPlEx6oce<@Nc`e@R5AaSgraWxwj9PYRCnWlHbkxbjzI0LMV
zJxN?Ma9;K~i~RMC4HioQUYJ%XHk5>fPan7Qv4#9EA&oig!=qE=c$2!W2w*uPm^{U#
zeMkH+Z@V1(J&)?A^}Np~27J|xjg6Oi`m<7j!ydbPdp8)(*R`3IY94?&YOXoIx}3g(
zxt=vOi3lIhd~RE;ZdhdPnfqU7#|0tJw_1g=V`lSP;z}6;SWTU!oTs(vw=?rb&wID+
zblLB6xolYD9$fpyO?Da
z6+|935&d$rzC@lnn6=-`YyVnq4HWXK@69$Vj=^Ft0mVf>k;%D^Ll!
zm&`fZ^1`;7uP*2IntaYihKJL=wi`8sg@wBpog(QF+$5nAn7I)4H3Ea6bvBt
z9DQP#kS%h#8_o=n93WCLwa>x((9lql9@U5Vctm&ZtW95TP9M~bHx|`Q0|xdpzr%%}
zvMr^n*e9*Ppjm(0ds#4~$L}=9FTeTfta-e%^DEtpl!5gxWcq`ZiO
zg;9?ss6eu1f=?uJdEd>@1J&SBURPH~C(nJlcXolWy8<@60z58)&Sx(wWyD-$Ki;xh
zks-Mo`jc;MF7FBJ6(hKj7|HVZJq+7V2~E@
z*vlL%($jIgimwWh$iTmjyUd-94ftSe-w~??$L9<2jiTVzF#&uHX=|nE)3NF`tRHvP
zd5ah*-<+_j>^6GQczH0j?OUDs2CWK$4glpCefQZfmIggqR|kq$nRk6w#JKD<{>Qat
z75>XwdI51=a;?XN7@WTaVQ`?r6SJnZZC;JS0HoJ!KAYOkx7&}cZg__c9;R`6yl~?p
zy?XVdDYq2;lWvWEPs-)i?W6U0^W>pWJ~Tgk)4q0*6!6Ass~WE&r`p7_37f8g5eByt
zZ{K#?Y(PRiPgirG9aL^|^+}^vqkx?xX$59gy8ahb%l?phL0XKs2*v8%w#U{Dt~{v(
zT%?*$`s@!zR1{ZBJE#$WAIl+By}at#nvRXIjI(aHodSv()fiyfnJhC6N%lF^q7w1e
z#14_#YvbkSM7iXwgC+)pshbOCcG;{PUjr_L0QXX5$YbZWiOib5JggS*IjsOT>3eZH
z-aPg|Q7Emn^d%2B_ey#Q+px94nRerDsQpMRs}8A&ob%6Bmo-Mwlb}1)Lb>+7`!Fn2
z6^RAj=~{HcW((t6Q}viIw+1nh6nib2|NMnA+T!2D3*vtw7KF`qv5(iU{=ZK6{yi_`
ze>;;j)!D!?JfWbVKpZt+U9?eSM_NMH0IXL{Osv)D?llO6AH@&az(drda$L8wKTG3U%nV6Y6%=pXZq3#6p}^k!D0c=c_ANY8LOOQ+s-XXMD7
z8{1?HI0VA-idzeqktS_`ktG%7w|vn^<&2Ir+d|*MJZITRHXRbxpWIL@p%)15(KY9_
zy)Xf_@`P0&ha+O6h|PCtEx9kbxIDed+LVUJDJ$Hz%K7
zgtyjpKKpCD50%ov-5B2H=OtzjsE?w092UbOXiNG_4?C83e^nOQ*FsV78j*-D_8lqg
zrz6BN+~9=;$9i2@;AQM{o#_SW+R%dx@*wk(B{wUb5Cf>4SDWzyK{go5xkA$%b~2gq
zrZ2&3tbdiiY!cKC^G{?O6lzx=_DvjG<B10wdC~!vtt+g$mFOf
zLgNYqd5OnmKfgEK!;@Bi9zUAFC=t_7LTYhtCU%*qY#c2%OHoNPshZuA^grzZCiJ%TRfAS%4)G
zwWL-{ecDeI$15l%=HEXTu_y!6Tq6FefV9!h3+~zaf~aj+o5UfHbtdwqX+3M7NGJp6
z8c`0Nv@84_S>?&1^PbvW>~*(}$G~gJKU#!hNzkn_t@@~mLQ=ivH0dE1g$PxJLf;&l
z*u0lmNzH%pt3R3M4gBmEVgZExi#Uew_62QC>HjKOEcS^w5FVC@uJtb;zt(j;DAOUd
zwK=dd*LkgOW{X`G2&CZF^@i6(UJJi-+le1{ecyYfa`Q$;cYL-hbcFSA5CU0#4r7-J
zcq&M?iak2<8m@k-L})wL1K<$x?8TxY34>XiZ_IXaUx$7*-}7u@FGyBW4tQEvxW6(S
zma5C!V{{iA+FldQ^y1{c53*^RJGE&_wMi>!$-sdm7Bkj&j0h(y{fyqjQ|aiKL!!8v
z{MHr+&_|6GR;IzX1@NkG67~KwS?&i4ipI49
zXEsMXSf*7@5xv9NPJ(9W%<2h+!kUpsX8ZUQnCP#K1-Kj`J-+UIpD}v
z#u*y@j}r=sI=D_Zhi2#YB4&Sp6+t#;=rMN832;)X(89*+Ji}cpfD!Cq{u+V8all;`
zuFs_vherWCk)54ZQmnplMfxZXLljC
zS)s@fsANF8>H2W(r^7^YHO1#@x^6byMTpr|_>9vr|e36?FP4CgBXj6i0iMg0o18F33BdW)aRcn01
zIe%y~x5kIfo=LE88LPMXBi|C~8$Q<3*dDrUa%fvlXza(MCW6f9a-StGLtpmKm#kG$
z*{)G5S^xxCOVzQ(iIbRH4O+5RDVrosiK^QG=V;;lRqbVXTaYJt#6JAaIwSkx`ULtr
zG1tftMxdZBS2#7V(U~P6ZPr~|)T7j3Ao0$N*si|mR2<0i;;`D!vLkzG{F)7`J@w>J
zuh>2#3$V_`D+L-}E%ag!$PU?T??&60S8Ka;MMJ^0AXXGy?jPybervu}RIvKT+5LHT
zlY>n0G&A-w!&)a)ych{(a$#q$ZD1^(Z>6W2%59NF8xa35
zYRgsYJg@|e_>t!BCw&ki;bS8yM=#wfZd4SZ;ZgIqU)hot79Mq)%{J12t7(j@E(nu09v$4YqdFH<9SNT>ubXMyuQGL
ztak;W9q%@Svz@!iv#u@)CYzRvKmDg?h@bK{4y33y|qELMv
zFREa=^3#jb4@tIPle@?chLu#=i6nd0*kUO~<74{$lpjG1sZWx;-(mfiLoiVoBCBei
zq%$=iRE7z%(eIF)7Z4#I4^wYe2%`_4wF`Pop6NDLyKI&U4hIiSZh(}rxnLBJ*XgLq
z!}|WX7e?|x?Rea??f+m;i5*z@rGo}L*Zfv+EoGR5A(DPuNl_%6Yin#Lmr@8q3@?H4DST@m6;A#>{sFPXP@Le?-$qS}JtetV3js^n
zC(E^;8Lcu&@j-&gy=z@tFCRy$kJnZnxk#Nby(#)26+lRmJz`PvXm~`Am*=bk{*0f7
z9S7oYM^0Wh)hpLpvvv0yoh4oJ`y=$a-w`Mv)vHc>BR2FcEWFK>htSq)
z&q}u3zR3U|Vo08y*(&xP;5u_eml{jV<*-tPQ45Uq$EnzOiA4YPUjr`+M&DEy=}bR2
zPOuUQlGFEzh$a_umD$J6Uk|9hlyn-cPFAc}bDvdIp)}`SOc_u*z_i;H9O;QAwML>rR2^$TM>3#GwMFP02{!h+LZt9>`7wLC^}5mAP*UNcDkxmcl9
zk=Lbzd1P0whSEOY=M;goO!5m*rZ~cQo8fccCbxFQ+cp(L8JTW0Jlp*i7WP|a3z+a3K!zy
z6U|HZYBF4_Z7LZXt6wbBxD$+>1QwskxSK5ZapL3!QMdrGG>F`uvZ
zbtn`AY&Ch4Xtjg=VEyLV*@5`ckGc5nNZCkk@L|fogtb
zjcVa3l!!bg`iFq}e2LTou_HLk8H;v)+*xMDDmn>1bsn;^Z45TUzrRh!1*8iIP-;{u
zeV?-GG}4UjU0QTQMt6}#_mgxV!g*2Hb$e|Kcy8?X2zLp^qi@X7y)u#7-U^LQ@{NRI
z^njB9y4T2mZwR_hkt1xzYcL3yrHNDm_o^F+|58GQ48_hx1~(w7_+rCgk=_Os(5~9F
z+1|*otld<;h>`=_iEtaoM--!tDnDA6Vae)isHHadBm
zAZ}wG*rLG7-=KhOizYG*;-D9v5LPF2qqlq>J67KKH0e$j)0VS9V)QGqtN`7giTqu~
zB~#nsp;jCTP5$q%LHc7*cBAXA6-+Dn-bsyZ+askz?k^{W;f4tUoU3-auwQ0A{TK_B^hHX+>G_%aS?O8;!PkPbzgDPfBum)jR&EbM|fXmxQkhbO*5^F_s|P
z4k9aFKA<(Mx>*pGs$&OJD@KnL02&SOj>nzSa}jx}b+as#I*`qdK(1ciEhaz|;$Iul
zxdf2%hmkqk*dl&5peQ3Vt}6kd^4jAwFVNDZRs9(=(c1NP^-$!|MUTLzGM(;b(Rrv~
z3OMiHtEDZ)5zF$GSXNd~N3eudTV~x{5XLLM_y5xi(9)2vPRkeH_m|&<^YO;UC~N9$
zN3?Oc7(PiC&S@ucKvop}%((V>$Y>&|R9r&und2sUh^c-wy-!{rjR2v@pX486q88$Z
zE)$E+f1e2Wb}g$Phni!JWa-i;?>~5
zv}8I|cYas+Mjs7VZ@CXCF-dv^`|(8(A$Sb<#vMZO5if?x818jWVc$S`kOOMjqJ)zN
zpD{}CJdy=izCNg=dY782=nv!$xK7KkWD7xWd6Se({0qjFfK0@!$wZLXk$cR&@o0QJ
z6}_lD_e=~+_3F0*ogAe7*%HNJ>bKO~3X4==
zSBqu%C!e&SvD+j`m`F=21B04^pV}GYPn!|hvzpo+67!t&AP3FQlG*Paj1RCiU02a6
z9NRF%!8*96fK-UT$Jm-%7hmnzR=nJ}WqCedBvX8h;M8X2s`p2fIZo;gfFX6Bwqm7Q
zbsZl@NmPF6Nw;MusHo@zg(EbS+ScxHHS+NFga`;(PzR3uX=JGK@F
zYwll)R$EIePHA62ubWSc--ML#gS<7uMd3}HJZbA--Hq@uUiXIs3k#Jf6V<$Ihpzlo
z<=O^-eA3D-mWZNJXq%u&Rps$0U^HE&|7@s-jPbae@DK{S8dYp)1_l}-(R1v~QzaRF
z2I?XfKA$C_c4w50p4deo0EJ;q2oOx{{`|=_pe6^3#tV-k#%NW#7?l>D-R0wM9t?R<
z4vBP3ob}3WdZ0@f26;I?NpBT<2@tV%Lw(Z%V{Kio7(ka|d|Ir}275PdZ=oy{r6CZf
z@wwxDRVZM&{Z(=1dttx1Oe@j!FQV8jxFcRLkKS{cz%qYzPM=Y3lZ=CP`6J}Wf^b|MR;V%z
zN(VUidV^F9liXe1tdOKvnKhwN6*>wMu4jz%kdkOMrqXB99TNKb(>%oEDmm>u$-PWb
z?77x-MbpsGM7Ja;tS$Grwlr&ku|7+N^%izkdu||bKH^nm@F=M>Izk5vQ{mjlwub@-
z9TYGZi|6^+aQunQ)_%9gG-b+$4bn2#sUdC2$TuRyNy+Rb65F507b&zYVNO=hsXl_7y?RdI>AjF65(SbY9jFlBo3Bp
z{!z}5TzVi#JRsu9`NOe#=bJ@c!}W0P`+G7EJ~${o&jYL*Cr%GW-niGRRP^&+3I(`C
ziwsa$byGiD$S5BD6U?{-n4NxQRa0g}|7-3nQI}AQy@n$7W)%Rj%jai+Z3}Qe1R6$0
z*o^p8yQe_PwU)>dft9gXvy`yVb`bQ+vL}Erq8k#wyn-Le}rxk>J5(PyMve
z&Ipo|MkK`(iX%K1j(g~-6+#(D$Q0JXLXe9k{Y9BoFY>%t(uyK}0GR@KLq+Wb-}(g(
zWb|=>OWT?N$RY+cX`dlD4wS|nN}IMESXfgK3~_zws#}ZM7CJiKd#`NCzhyCgseb?l
z0_bC%t6m0nWeu5d^=ELwMd@d^w1j6fIZxic)nC1M}Yz9fXV9WqNizw3|R^RF;2$tLm&ueO;)S@`h(7(p|T~*QWu5sLTe>-v{8KG
z*ofCd2L*3>id-f1o5<5=F`|;#3;X+%)j&uyoZOtm0vJRQYtB|2>b_3sIp<`=He9{B
z6nUB_ry{_qik>v*NKk(suSS(c4KY-ZPYU%KlcI(92!1kMhxsU2mYf^uhuE)1o8QVQ
z^R(p1M?1)1sOv%S$h*Me3JWdv{whur_g>iqo61}pj6`@`4SV4WGWe4H}SHSl%FOT&DX|
z6(oSyBBB#~6bkKkqP=;O!sVJ$Z-x;v!&08JzkDQb%^~1OCI!EmWYfm#dp{_yH?-h!
z5UwUbi9D
zSPDhae=^l@;&}PaT&#rBIx`>F!`COvMee7tWg8Ods5uyC?*SyL{nEo7YYM5nQVcgSG7?8XR^G$@6}K
zE9c-$=9DLj`u2~MB?q&@W={HQZ1?M3I^Nj|h$JX6XaFc2z>70`6lz|PW8Sb3JC_IC
zyUasHfdYr!Kc)?+a*>Do1ZwpX#sUJm`hty&(IXbL84}@Q*_jtUAAnf#LW5(mL_5EK
zcrzrE?fJ}Rf%E!`)QP*m`sA{Y9Cj>Z0RRx+3ao=nBkeX)H-*3624GyF?!XXt*4FMn
zAf}lnWCKcGS@e@@vlqpv7&^f31@GIAcD`eF`&x_4Fb{F@>Ex=CGRPG?TcxQIM}DwI
zu|HQy`}T>B$BVt-+gtc_9!TRGXH^}O20kES&8G3F$a*9h3P}=fi;~oW>n-RJt
z@rJNj=3KHt65&>F3Nz=X$Uv$W*g_hT_A3+F3?v45c{Bkv0z;7iY&n-NQT202T3Bkx
zo*>VYg#H(az4@ct1xOqA=w2omdv4cqv}M8?K@MQ$Br;16WlSptR)&E^Q>q=_1@U8M
z=X;s?tn*}IxP
z=p>h6ZnaXsp>DeWC349>lABT%4gh@I*1qs~Y9Z^V1vWbtjT{DAnb~C{FoRwSTzx~F
z&F%1&P6xRO?>C@|0u=hXnzwrGH^S!=VL5$Yq?mMEjTofy5UMM^1u1#tjd$?$T)*V>
z&glW@UB(;nxDJs5e?uOW1&B4-IL`@XovW?!OGDJ)3hRq_4v%SuVzIbj!RP8_MYEbO
zCu11cmPDq>#@140amIhM?D#a!8i58u?gco*zqQ0VBdDI1@r2CP9r`@>L^^Cy?uR4@
zcDSqInKEV{O!u(@#ryJsyej;kt46tQf(syNNpvy-g@o*+JSYZvV^dhTDB}2c*9X{i
z9<#vu60`tPLdwshEf;+zhe}~e!;OZ}-QZ$2_
zJkQ2ziErYnxK9>f8IPMZ1wfvWU)1cPrnIX2#wQAQW&+Se9^!!&Adl0#t#G?jl7Ed2
zYzT22A_wS6KdU2D@;ZN1N=SsPAgxHzu*+Echqn1gR2$w?>qRu~woICw!WcTKQ*UjrB9mhlrq|
zf9y~b>Xl7QRw`LeN>Sq!0Va(U~jTD8Fkgq>(7q`4?Imeb1o5y2SmzYcRHAP-J>$y1vDIenBp{w47)!h)x&9n0U5F$jtZ)q50Taw(9z?o(D7X+3)^y|
zaWw7MjO|9sQhu>HS*ud)HMQC_cSk~zfhwn
zFURf~goRV(LAkTAt92J)Umh=y2h@gJe^|A=-&WKaE)x3;-Ubl*E+rLHtOh^ZDyWOv
zO(4@*<(qo)vuF#s>*jk|JVAM
zj=dU_8uGd^=*2^pn}=iD+Ez1YE^?c8zOZ-Bz|Ot_<>F%YSjthm$DI}qD6W2ao)(UV
zhZrTSO=+Jnsc%`iMXUBjxL<<8D)3$a1TgG^ni(
zmPXW+oqQVObFVDz(y4s>s6W(FMy#|Vkyo~@-P5Klru2kqG7>a#hr=3LN^hiycEvXCSJpi!&?
zly^qy%keJGv))vm=+#-tCpCopakufwkYqmyj7j38aFZ?fLta!>A6FKkGm3_4+8=1W
zQ^txSu>+ROunA_6!p(!W1CE=3&}XzdVlm4w0Xeub3J|yg#{x*Y52lQ}lNyiBWOCZ0
z_Fm;1c$aHotJ-W*tjAq`v}bEx@EOock)uzs$+1p|BB*KvJO$)qy@UM_-ZeisMoNRh;$-ZTtsH%m0g&@{lA=Qq(jF{+9~Sy*;-_AE%p+?NN=FlK@?_K0ZFDJfQEV)%ZBe2Qpy><1;vIum3ewoK8d-<
z7e&^Z8BqyqJnl@>@3=i0+c*}We-2R3T0sd;g9$di>Y&^#2vprS*pdh7U7T&&a&5Ar
zSEG$bXdRX#hutQQ>^{=i_QsGi@0n{fN@+@(B`?PknmT(K
zVLr1aU0q{Fxy~pkrtZcR)H2X+ajuuNb;f5RtYv)6TEAEE#>E=&
z^OCdITNug+=sryamGYK3+8Mp4pk)uc>jkvFg4Vz8)dHc<`^Ge9K%Ez$lfJmPz;^GE
znS86X7-gvo9l&($>b~NnL|oiF#V!>FaqSxLEmjmmbb*L$hhO%_KOeA_v!SZ7Rat;7
zW~2iPjNLPG`?Et73QUPiL}KG(^~|vj{NsBBK#aXuX!8{w63(7>3td^hdGldBXZhjV
z<3wJ(oUt4}26F#Og}QPRy5u3LhI6i!LBkVs5{BN98q7@ml`FtMo$3k;Nw@(}YuCwz
z>P%%r$a4;E-qNUP@p8SGNN5DvugoIp5iKuR+*|G%-!de_Nn!bgTICXgZd(O)g>6Pd
zpv8G;Zg0Tva^Hi-pb(5ZqVes1LKk2nmV)u@0U&=Hkjo#6>s`V|r=J#eCiQARyQfC5
z90fg*J#J?`O2K9|4j<#~w0rqb+7w$Uy-WFc_~*}{8>|rj3Ai(A5te;>NlUDB_{bWl
z&Y)T8;Smp^rF^3fYG8Iw2dr=tTB)m`5BLSy>2lS`VB6-$;oIFy;!{UmeKXm-ID*zf
zS{Fr8F-23`k>&~86lq*P3+Oy3)%EI_a>woM5u?@=OtH3_dKxE!uUl;YE=%v~_d`qo
z^eW_BD=AhiqqCNj%CEVxRWCj
z5PJ2(QXRfkE-zkzPi#Dj@uQ&KjGMS8*1L*KPGtb|B_<;i)YV$j<2{0JEsgq}clhO2
zS8HH*szr8XjuqDf+u#KG1`B1*@%_1SMIbCd{^6_yD*hcjYRjgH>ZDN4nwoF(1
z0ziX=3R;&wzxc#WC?aN*7B3qeP$#~S-|L(Iu)PUX>3DfPp-j==$L$cO5{hjtGuV~{
zbv2my7_S<9
zDJSh3lJFPHdW$9L7L~lFrn)Ja&TrS4?on3ms|bPZ*l>e+a>5@$f3LFicHf?0Ih`m5ug?r
z#`RH`lS@}Q@+WtePb27}avRWOuwcNdrb3h|pmU?;{fTv2k699C*`UdgDYomyOqt^5
z1GoMn{qaVoE51=u?n
z%zGI#^?UGl!78AYKy4ubRe8?ZPsy*Sl*`9!7n*MZ=wso#-XN<<8!;$2eWDwrSJ;s`ki#X$2gISox5UEBPw_}uL63|}_FsXy3b%-K}a*G7npw$NOYv^^E&le6%
za1-8Q(iG?Rs59PX6+II2-HMxLc0hQ~Wr49j6b)hMA&~CEGi{&=Z$phJxua}8t{JHq!
ze?EVHkCpjjtk;|YW>$7)Blvck4bR`Qk6mifjRj(V$Fo{M?FK4QzWVgw5B`8FG*
z9RFr?IoqtZo^KBY`9EYLf6O1iIFAPv{ZA<9-kE3Y2y{1yb{M(2{`C
z@g`8eV^szHQGW6XFkmnuGND#b4uzD9fn;H;Zk=rkI<9BB4z@WUkw_QNh`tUs6b^$u
zdTH3b0g;(tLslcQ(W{yzcKI@x2&M35)2V_T1
zAL(qR3;$#{k>9(3UtUeB1QcQP{qitU;BKD-WQOubwu=Ktdd4$HFwKC;f}Ty#
z6kw^9$+wyD=H^)WYzJ=
z3|+v4F{8R=Hm$z4&JN!7I~E%qA7_s0vM@A!Eg4Qd3Ig-Mx;tE>cns_kp_86apFo+QZbfOSBq26eD
z2V&?6q6Sj*g*d2>E|h3iH1ecA$N=@G>`PHEH*%De?=;b+jv5P^@163|C~KwmlyFW5
z*WoweT@n=6gYYP#$k1z#IPN_P;n|}N@%d&LMMhwQe)NX4%ZSM2V*@@h3#mt0Y1GDp
z<=y$;$&NPR%UkiQvW0MH$dQ^!X_3#HAlBe_K>|8cr@s1x32pG_7;d;P=FHDe?1N$l
zj_Ip+t#WnW^34pn*V>f+AWCxuC=U(C7*sHA1j5h9xPLb&931Pi;w?{+mffF4Wh6?>Z9dmIHO$
zE<+eP-Qcr`ypd9E8%l%DbpH|!3H2evAEb2eEeNfrPU}-)q$0@YY3wT!=h0z)U%{iF
znbduNqj)@|*zaQf7~Xu!3<<@t31r>TZ*VU?S+1oB;w_pfOK=aRD7#4o*s-dBtXzD@w$b9}_mGF@S
zrjX*TCMJ>htZKjoqf2;uE&hLc0o25D_77Bq!s%!Q;>?COOK(FF;)C?FaE-GM+Ugy0
zlUd#*qDjquj;@uOt%jYS6+=60Xhf3;4GUF2mt{n`ac)Wal??F^Lfn)K@yrE}obcPz
zMKT2mQIpy64BVr?1$#VJ0)hyHea}%-su|C3J%NwxmVaSMjO;u=)MIPAI6g6|vONPw
z6_Dn;e_(N)bG%hXH-}x9JOO+jqDCA(%5?v_541TJ#}*m?genu&-+j7NhELES4jzo(
zerlRe_J6YDMfn;|7xu)l^Ie_y7+g9{cT9tg)21~4I9J&XZ+_qT(sjK(UB8Bs_J$a>
zw<~SfO4!_rBt@2)qZ=wo_3`Jl!;cJ~AiCd96ug^pS}F!zokkmqL(UtN3!Tw>me3~;
z?k8#Rz}U1PxvLDNEa7&G3p>pu#4x?%hK<;MBT;y6{5
z!bTLa!z+%OXJuV4f~0Qfu5f>jB?}A!cA`K{&|p5<+bg#}kTy8W)hhz_?DAfnSNok+
zpNU)sik^SiA80;-HG8Za`TY1I%$ZCPG{;wjnOB)Ft(seEO!T4Fm*?BvaJY_MGUUR!
zAO3(Iy8Q;)(Y78vNMW(E<8)_r
zm)iUEEn$Y2$$$pWwZ*!Nqx9jlP9HSU7h$Pma?yb)KUr6EZqZw0M!u*`GC>Q1F_4id;726k5(z_QZPL
zeKQYyRujcE-!5^Rr_Wz9mgAn2@spLGj1uXqI$Xbj#6g@ZARRdbms|6~(!0J$y|
z(nQc!RQ}piJ~qblzT8{IEVIU9AH*ASxUPqRbzKoMzOnr{Yh9q}u(Ft^+~HY7XWG6S
z&g)oH>`xQ4r<`}CKp@!fX2F&*f0k+*m#c}C3oWknrx8*!V9Tc9!I?;|wNQc{R
zPfpneSk4}roegW^;QpdcPQ8CWDbuB`2~mYYPQ{o&inlvw@ce&%zxnhCedW8HPmZpM
zd#7Oe&@DrsF_|jt$wtJ>B*G_pd3^Ps-@W($+72nyRcrNQnG6rFYf^7vlr(0=(~cAS
zUD@=csF*Y%?oLwV*N)RqUr!Prg}UnmL`ev7vK^Mpmq!u2q!H0&uc9)R6Y@`q|DgS&
zPn9Ds4|4CxEmEi88w8H|pIk_t>w96>=VcCsvgaXgZ=f
z|4GAbFb`;a8`!HR?R`8O$nmXRxl@(t3wAU5F-ZNUy!#E#+YDYm9GEtUIw|os_OL4WP6p@yJ{I
z(c1mjAVOvTu+-ZFRRkUH5BTp?qPD9J?x0P8Fis>Gntyu*h2EXPe$e(rk2px
z!TK7AYgNPXGPSmye0lJl88|sc^5Sje26jrkjt_esPYzXcM
zrfSG3&}5kdNx>bkMRB{rhV0$_Y)e1LWvIRPwdQ@nX2dQJQLBG8k3z3N;|+*-#{2V&
z=__IEuXx}>(4On8y7jJw^Yec5e7@JPzu+;odnp-XspalQKh1fZW%t9~`c>dt=oN0E
zDUQO#<-$P$yC6|5)lMgIe*NBEs`NoMUv^*-Xz}p7<*S@lf=>3I?QTl^+I)FC7Vn`N
zksE?!gy@0sdzwfbGFs}#z>4a82fWp+Uu@aQ#;841qxxB>i>6L_ps)3do%D$MSX&wT
z&{|t(ykz{vtP`ikscbal^WT3&|e
zO8btw_+XXlzYKy!H|kV#6cp}%k?STwL(Ybq-;vuc*g!s;BYN>d-|qsd+w4nKUS9s3G-StJsK#j#
zKiT)x@*Mo)hX8hedh4RVWlj!eehf=k(n^
z^1Yjpk)$%OYZ3{csHvB}SD$s2(tM%1dqh(}yW(WX
zIqUbt!(-~lx3i&nXCq#fkCr&|@7d=z(DbwdBxQ6)oLe0x4Hr%MW;4@f%2ct91U0Z1
z^D_33WHy2Vu2m-#UZbsaGXajq`iFED0C*=HQC0(1)4bIG2TflYR^{_`O$bPbG|~-+
z?hXkNM7p~q4;|8-l2U?5cXxOCqoun;8bLxt-Z}oC_qzOsa_%#;XYIAuT625F7hz8>
ztI2aw-7JtXxLa3dPF=oPIQp&WG4J6!|D`HiLh0-+E8-Ml%
z;w>pD=&74OhHiw7ldm<`1WuO_h1-}q$J0l_ry<7QMr0WBId`K|$A3HzXqgvPU@H?|
z*ZZ%ZIf}galZ3Tub^Q*n2Mvuk=RS9e824K?9l{z_Ew1H3&lpp^mab*-3Us(6c6;JPq~}s2Yrnhaq_t`dCxkz-WG^9r6Q3oP
z!j5eG%k6_Rw6nnDq|4Vs5FvZ!FODi6lIT1UtmBx#Gir7p^Dgq(eIioAghAWjT2O+|
zhILHA#uDCijYD`iCbG0t2%ThDH@)qtbBLaQ)UX4z<&hl?OJ4NClf-z_b7@#`B4Ay_8_sEW7206onJ&dr&1>Ta*gtkL72SJ&a2VHP(4T@qrg)8-bNWT@%
zlG8v88QJNpcXBlEeKtwK-)H+4h)#>^sHl;kj)&_a!nwY4%#vZMKf*>!;$)g%&}2^;
z|G}YqRC(p~K+H;}CBE&ghzIBiL-|=EZ{Cjfc`Jme<4x~~7<0X9Ekj;A#M!8Ayq~v1
zrK}*xERXg^gg#rvT3KCxAKu@RR=(Xihae3lN!$LL3Nc!1xab$j9MLB0&i?F1o4TdV
zK`%Tcj03*I^f%L>v=O=DxRleou=nzLk=~=RmQi_uQR&!3!VvS1UKUDV)KW-ko~*^W
z9BD}w%zQNuIMT`QU2A-8Z$#MObtRlA*oQNAAa4#l**@PQgb2EA>9L4XT7QAPa#E;$
za*aU=4Im{1x8`>^&N5i4J!wUFIui>uMrG7no~BGEL9@Ac9m&<(m3yML`sG%zmJmNU
zF(}yty1FsM%HiBK5&*l^j@+*?CVFB3j#qP-um{oLp4tlt+G78JD`SkEo88}JvB(H#}STH@#NfS^)
zlT~Kk8vMXq#KQmJ&G`}hoK>H(LtcoQktXkoZ8sIyg?M7Sz!Q$RaZAC$jj@Fyuvv*WVAufPU%9jH201>6ct?>lM%#2*wc<
z|BZ+!q|JQyhgLXo-M&vDrXxv_E2VX(<{z=wLn0i$69+nt(7c!)mkt7Y)>5Ia?Aw
zaFW@S`%FT`d4ZE{>^(t8ZF;}7R*)%AMJ)J@5S0s5jrWzC)Wlmn
z7jz;ImhzidvLXaj@i7jUYH)N?HHMm3Iq9ikw_0d`ZGzc6m>q@UxZ5~X45RuaaDiE>
zwE6D|5}fnKBl>?}R$Dh_Z7^i&N_sBI_jas+rR2v=celeUk+vF+>pLg&`e&{S$CZS3
zoJ!^9$;jYg0eXM~ds?Tfb@|&D`N_?k{JdgUwX`|=V%9#o9gdV-W_Z>@B(0P;rhNra
zs<4X3WP2JKVPhA~aSzG)5bo7n6`_~nUdZQCbO=>96RPE^v!dvTJ56hEwVgyXp;$t!
zWy1bV2>|)qh@{}y9S7x4dGUVr9Vcfr8)D&Rlg3aVx$`?3D^U`}@4c>{bX?iQMuz4#U+1HeDjw
zhWYZSsLou?z7+}j)DB00;m*OZH7vvLy+>Jv8N|Cz)(`X=8rwkx@C}cXx*bhy$KI0iZWo<;s4Ke@eBZZ{U0sLO%=J^0n!Z=*(j=so*QP7w)csC8~Pgr%olOdXXoIrSl6@_)VTHoLsE
zwA4PMK@+$qO(5dQxaqR_qqpYNS;@F3mZb5q#l{DR>|dQx5PC&)^$!0LW|7YAP1Skgy9Vj7PD
zpgv~MVCC_+kTjZ)TGi{w^7o8>LTAAk}$r-I6;t(L?^QIz8aIV222X5t2s_Y)c#uoE?%
zABkj?M~*B_v0}4S0zEkxXIC+;k;*b0e+S+tZxMYn7S{8Ha@palsgdFS)QSWoV5&l%o32=Dge$
zg6A6N<-{9`44Z9RM;tgDH=&FF+&HXw2rLLN!NcH>4@`RE|8gDuV4te#YYXxCO&Jb@
z+?PVe^7AqeE%>+QT*bWMg$@e84PPU-=|dN7z=ca?o3EUOtnMA+X*ND%Z*s$L3lM<3
z!`~dX%Keojxk`YZ_1dt}CC|%4gwUvDaXa!KL9n{@lfGq-h
zM&0b2(TulS-Z5RxD-MFXz7`9lVYB!;E65J71D@tBu~$s0-cix7lcKBB5~7_)8<
z2bSfe|EC~Ef`@IlKUghmbKZov2re}BAXP*t`y6xVA7SEE(21uY65jq0&EV*yO*
z&+j>L$SyumW~L*FzOv_quj?}d*q6*FyB{xniHs%Ga;<8WPMC_O8HvM5EdDk7UBDEk
z0>0ip99%3qQWiVf!xya3Rc^G#`3YkM{I;`22AERT54ef@$cK)V*Sx<~4`tjz0Qvki^^`dLunkGzTAjQ}Lgzn9nBw(Iz
z95+|@sPJ&b(1Z!z5P1w<+GkEO6&r!TqOL8*;ZbT?rVd+^@kb5!7j}cB$kNyWMCZ=B
z>>8ItW>~)}E6f2~xiaUXizja1b%|_QCL8!QC(ScqBf{gwvG6nd+!*Cd2US+y@A{
z*L$H2*ls4)fqv8bg8
zcPOKBRoBxO-xi=E=&aJyc*_6`yff*1Zl~?+mUplfx#J9YC9Tnz6-(?uUgadN%V?x4
zm9=_XUY^;fl+1Elrdi&VUhnz&fVQ{J7sB*P?$f_Ib+x#%RW}o!;oF_|FG1iuc?d+O
zH@qR1x;>eSLSvS!H5Ef|N-oohD9Jv$b;iS$T0U
zb9W45nT(9viKq*0{%uGjP2C%E3f(?1{Pg3VhpabNi3#BZQ}J#yV2nx!jD#@$zKuf>
zbX+B;5q_47TU+zVMz^I^wNI%nxXsjzcY82peY4i!#Lu%ZP(QQKkFwcE93HL$zbsbT
z-&KN4RTtD9IPIVhUEh6?Uzdj!t2{Y4ZXzFLJ71^F?Vp|w
z;$fa-c_tx?JIEvYO6Sjj^3eN*vUZ5wraDK8_-ay3z~ZfdNk;71l(K~auqXPdqo&>>
z{)mp=lg6CkH!MBS?Aeoa?1}xQR#`anLGZ*OM(EC@a*^B1kzZX(u5@Qq{-cYE`wLIC
zy($Wkwqt}>U{Jqt@n6U%rObos==`T$Yf!R1s;;mCwSe)2ws=^l!I%kVdd}HA->7Ge
z@24F-X9d(R0A>>UBipRn-XhB7O_0sUIfOGSmMM%EVCV*wPW&NKxC9{j*1QeQN=S|2
zls>zLsjejVX5UPR>B_cYncA=j>upRx8FU-`%RD2JPI#>2<(sI)=i)jXK&z3&M*@rF
z5CXJz+aF15snxb%!DuTPmLcWi=0%+!S6zH^AF&`
zBJ10>1$ke((rW(AOkwWwDh#qMzVOu$rbuCn
zjB}dix-%`WjD7%v>G%p6JpuTV%N~gn%f9Cbv1XL$9k;EPs6ac*KvHRsnP{_d|CqB}
z-P4wxzR+6#p~Xgoflgg@n#`?voCMf5{BKy=604iu|Aw(jRp4+%H9@S(n+%z*gdTeB
z9$M{qYR0AWFMJx)gn}jW%SY;J&NZMw2@ou4ivna^XN(mfY6vy<*F)@HYE&I|jTMUQ
zYTFSe_koT|p>nH;qABH-$#&)Ps6e^IPL9JNz1sP@HEOg&Y>G;qGxs;dQ831-*YuA5
zPo%e{Oy|usS|b*)re2v&Cf+21$~qJ^0nn*fOq1W?j?nP1J4mZ|i0)xDzi9I9sJ)rNcChuq=#%Mzk8
zD1Wi-+P@<1Px6EapDWbC^>4ymD7x_zRH>T69?)(2GTTI>GVFS8=bW
z4>r}8D+L1PHL`)uMk8e7+-1?KhXIfwM#PpZmi`*Z>%71iE=uHJY;A$}Wfiaj1;F+t
zDH3S&6vx=o(-^DE5OZc@*^$#8fEwieEP@UVHfb}J3j>Gau&S`YgZ=t0LF-88KjxYyqbFNOIH`sEzZ=Rt
zVB}nBuLGE-Tev#ae@Kl~E}f1FXp%pzH27accrCMO^%4kl~{;9BebvKEYeC
zxDWVFydt2aqytR$Q!55rpGN`U?hhJCUIYyj?k0r?pn9JuxR
z_*fqf>X7Wjs2QF|^7_uutAfL;px18g!Yy5P)BVjMkcvGA4xht-?`q#yJ0sHL2WHD<
zp&}Hh3hcVU9d^uxPjG{}fOp?dGbR7U0X`>?>aeWFr3J>~xCk^WAC$yFUwet(<69IA
zI=n{zfb~F(BI;8jdWm>(C`|IJTkcvr2&RGqrU6a)tZ6!-_aF8Z;4QA)*J9`U2o>tC
zuGuhX+Q`wLxcSuk<{=r0xPC@k*JtB(bWGKRjquvlH(AzFeoVW)?O3&JF`ju51&@m69yF0a73DofYY+y6U%R6aF};)Skxyhi|*Aa28kj*{#(f
z6RPLniV~LxO-~=ys8K87b4{mL?Rn2W#Dx!);k^5TB`So|C$k!0e-48vx34uJX_3mn
z7D$hLP*HPd(jQf~R2Z0fupoVbJ3XyS=)^c@G`j*RA7Lh?F}iRh`MHaUi
zY2zt(=#v9woY%#fZI?sKs>wj?puG?Bsmk5;RhZ^l*W#+pgVeYci0wMO#szo3xHz1W@ByH)^viCS0dSn-!qYSr%zxBW%brq3OqDLt1
ziqFU80P59pGo^`12KgvLYP4oYXLA39oK+!o^S2&+HpRIO^wZtrJJ@1a04g$F3PwC<
zzski9LoN5!b;#DPA*ZZTx4~5(T==@0ToAb}OG+*W5
zAMdA$i?-bX*gyAXW9tV=&;R`&0WXPBeJEe&y0YN*Sn0~Psi92W`EUY%&nYyh24pCX
zuWU4qZiw)-(D-ICuX4#U}$B!Y^iS`%vw%s=oa!ha2@HT!a?t|Ul-VKL4U?2HKH92ps@VQr>;rwJJ=
z23WYp=}J`jv#KRF#LvCs{@iYM&iM{+vriF!8AfjhpDZ&R1I8WU0qW9`X?W5nvKOr
zwVbc+Uw#c0AavDXUyc88=TsS~p)mNKahol^9&UA!$&^7;PLpQ}%&~gL&r!Q!Bv?iY
zMmW-&8y5`(ltz-ga_m=u&C^+McAt*U^;e7voPJ>_Y@>oYTa)d6j9|7}`tF;7@nZH;
zXh+rYILQP)5b2}5A7e`~7<-1@`#x8LrfXKIW4AgL=&ALy#1{FhU@?fj)<#7O53#B>ROYkR-*b*yvi8y4r9D~_6+cJa?=N`3
zNTlAk!}pUg;Gi)qrQLKf0XsYR^{lJBu=31ct&TKhj~oDe6a^)i9k4H>V1R7RVGtuP
zgOa3qt!uaHp5lD}LO@w2J^r%T|kX07k$|
z4gmot*Zff6GGWh0-=*nimXJjl_o|hG7jn1PAB!xr(|oJb)1J~eLSEPX_NtWZ?wdi|
z=WqII?j5bk{cmy~Z*AlW!-fKzDvhr^vZ0H#JFpBx?O&XTvVTek98lDzgCP6MBH^Sf
z1fuI3tvrhO&ww2|xbsMDks^%ePh^3mLrvqoo2)VJ;j_l6I){0eb#Q#)%3v7ORbFE_
zg9))90K6Bn4kOe=
zZ&Q*F)^60D{>Ifs#q|Q2fQ&5GR~Ud(jsB1Zci>&sL~5fMro`8`0*=Kj?qC^!AhO-y
zdA|twCJdKEP`?Q7DzE_E@@-06kVq-F7MdoQSj((<&(T5ULTRwl@*jf>U*W@60fKrTxRD|a*)A`^D8Y|qq$Nx7BW!ixn@%aroSN03#Oyw2nxBYgm
zw=qqYn)14HfT`yJJ2QsJJL7h371AgsQ9fI%s+Ne+qP&mzg;N*rvNgupw?TCP$Uq7D
zLxrJ~{iYs!V6p|Bpf8}aGbjVPF|Au-14|fW*<;vdj%tB$1kmAtQt8Z$+XFIAAU!dx
z#a_PVdGrBTq{C}&h4d`F2X4G|w(*j9NFAJnV0=g@w*{TQX{}CKVc>vayQS8s@4+rC
z_2Job99gh^gFw6oaigKU^*GsepfrL%F+fw}!58}e7p7%TU&6-s7^Kb46a=g9K=DFS
zz;^<|CF4UsTdOkYo`~sTsXE%~k
z7xGScA`n@-@Q9410-}KK2n#t-l+X6?VYIGOcSwZwe*cDyjJ_gG1MGO7E}Zxzm{noU
zFqn+M^a=R0^?;B4G!lhwu>AUyk5ijK;NOIHU3-ccZ`_stey+80OvcIp*`y*(*z?ai
zP@jcx1HsKaR9Lyy2g+N@=+DRStu9YH+ocmi9a9sp+qrPsx<9%c;Ax5|-rLrDtq{2_
zDStf^*{&O_-)@L$x6~ZQhC1*@%z+bo21aSiwgr#RoWR15Gc4$Vf;oyXPz0D1SL&7o
z&QJY5TvvjvFSoU7A9@Kp`Y8bEMLU0Jc^^)Dw`Yb$<})B%fp6QAY$Ez^QFVKwpHHW@
zR`|U?J3FOK>`c=LU%jo)G*CvSJ}V3U{RL~*ZN}pb-|09M@534=SK5zN&9^c#C=279
zV^J-X;WoJj3l8TTvnS0nO9!697fVrsMxW141&JL!=l?l^VuAqB9hM9u*BBfeHrPk7
z!dHnGX&w1n^Yxj}T(?tx(6KWx;*doQg3A%SzoX-rAliUPja|hMaFv9^r)_Er5tT6?{M@A?n|p~1l=XOw~ymq_fftqliG4&d;#svH)XtBZDiQU$EG
zqi8XsQIguNHS(5vgkY8fjaaqX^@&k56wvU&F9`4m;j~}XDYZO-^QeyJ{Eq|^M|p9P
zyyr!PRkm&)5ZO}!No7Ql2C{+NTY*iF$k)hgY^@!m_blKScDXcSgKegFU-+pGAG!3!
zgx#G9nPaaUazW8ENI_}!J(l?t<`>At2}S`=vS&aq
z1{uYg1WlE>w;yFhpSNN+`))KqAVjuIbG#T~ozL4uD9hLn%0YZ&V{9ni%TiQ=^wlOV
z=^u9v<3SF>dd{Zk17OKqeoJIRzSU81!vlkJnN?23(Flt>;OWred|ee-B+Z*xOjy20
zW*F8w0gp0!D?fGG(>-3WOp#B*Kv+)z#CDk0?OlunoWbWONA{QPC++FVt*8gN2Oh7z
z_FV9;bdfUmhUk7Kntzc|22}P(Q5a0#K8n4|sZbl9B&x$fg71I8#|MOVfVy26oevWT
z)di#O8ocBg(@a)I#;j&}!;T{OW1MV%T$mSDwc!BET{mU}D(zzK%}zxv1fYm-JrKdg
zZ`;d}Fha!yD;>K4;xwoJ9A5!c1-9m*DUvm#(*Bw}P6CF#VB=dRqoP`#5?Kad2S>~r
z!hw5Ag9Z{{BzaUhY6A9@>T0oZFNRK${aat&Ag#CcD%hdWE7CCR_yhRs4@-|9G^EKh
zuS-|gLn~T2EBKE;UYr6jL~yVH5e)WyYX_WB;L9=1H#8jpAai(N0dMxy$Q7fxzac4v
z`n*)ra^Dqx8S*9cv)hAntc~v7!b+y$I9>@E11yF_Sw)nnc?71?9b>42NvB12IgIzp
zpbUe`q6nwGQG9x@z86=E?$N(|#LqYemofSVv<`}fpJ$7?eod4S`lWbEcIPo!xAt9*
zmZgvF^U~&=WmBfsM^XSS?rz(eeb4*(Iy%3|7y7$Mgedzeqk2%v;=r9V?~*wlyH(_6
zrk={4uI<;O*|x`pV9fM&Z@k^wI4}ADfjxyA21qO{_iOYyX400NJ9B&I4lgu0l=Od}
z-{Pz{kBU6BKfKOrFc$4sUBsMN9fvXpaBqfhSUp%@AJ&SEhOroBDw=l|$LuqPKVT
z|4~LM!eivY;MFWWU+MgjNWT(OfB-X#f$0PX2MjohUt5=drxI_EZ>)UiK%PaoYE?*q
zk}}Rjm?Ut88ZdLGLV?Kl_S{kLz5@~9D;CmTSB}rd!R^^qdf1omNifF;64a%ZWJLgfD!#DSF>J8(F_ghE+CRNF~<1r+u8UlBl>Xtdw(VBR{n
zRj>wOirJO50UOW?XL!>}sf-=ifEup}FbE~iW<;A0B(mpT_PM*(hr;q;SOP2sdu{7n
zU$??8nSO_?bsHC-eeWm5_`qrRiOp_7!5$to?7mYC5+KRC^4RzlYqZS!H`AsJoV?BtH~luzL+MT)>>6tpH+jR
z?BXrnNPzuh<^0|54>H*RBgU
zAI-P=R$FCea($C4Egx6*SLr1&ASMaeD#`AV2<$g^m)nDaeP4&TlBsz8tAJL@*f=lEAOJCC1PPq)O)(=W3$WQIYhr|n5u^ElLEpkp%%M7YrY`=PLO9)4q95@=JU43mzU7Vvc
z!-ap7GyMKZ=)7oI#1C@@<}Me?+zLJHwZ&0xycICVST`bcYUGGy{r2gbguhCXKM?><
zncSjY=BVLyKfo1a+>F4u+h8fK{zGSVjnHF5;zvW~5%|G%O-AGcXPN_>4v>h@#l(FZ
zjQYl7)m$I+YQuds`?agCmp!(_SGnun_|ytE-EmHD(@WS%@CkV-+i+u{XJjPeq4?u%7xRXvAvnqFC_b_Ne`r3$0rQ_O(jFN
z1kFRQ48Fust0(UO4Cfc4yN{|v3?tdKoRSVx}L=yfol
zf!x4s--;wk!}DJ>R3t#ky<9HtX@GPz>-8A4A&fWR+>F37_kVL9RH_9?Zp}M2?Bw(#
zg9A%LpL)p4D0HPi$fKM;o}!SY)wZQ<*`+fKnTvzcBCn4Nl9Tdm2OZPD69k%^0h58a
z->$p&4;;Ia0523S)_x7#pa2;Y?1pn#k-B-oh##O{uyFgYIT|pOCo!2ojt12cP4`d4
zW$?!(i`3-%&TYw(UIF-HL_?74TW`7pi3a<2&t`}B^V#&ErvsTr!117*)L%He7wB)j
zOO{fujKDf0Vt4^a$8I_4?^nm^&i2aUF+0T7ku<5jKLg3lOX@
z6Wo?Hn%;C(h!9@NN9hMio}Wfo=t4-TNRc==m;Zqn0vIKL!n$SEn-+PfQgwrrP{|*i
z4!4N|+gR@s_JYr;VftiyO{XAdNL_Bi?SGddtXh5bdT>nf5>5#{T_FvO2^is`!2esV
zfACiuL~-
z+2T;(y%;`&!{vww5Vb$sD^H(XpXB5<<$EVAFv@aPz~c2m_*f1t|VJR;N-0L0<&Qm8!+ZE^D50Z)ksv40a!(Iyov=+ervS{K=ya4^N{{|r7|
z85wpaY;;llvy#g4=e0^2P4pz?O3kTe*HIy8{}5}s3S$cp*~sE6=LAzdoM#~LWTx-z
zS={f&{cqmbssYkheCYkhx`Ri)wH{wNp=nb-8JYODmW{@zkhq?@KoAW9gQkfdA-Kf?
zWI~E#bc!GDfZ>57cPo4BI7lT=}>?*?`r~
zSJ@cI7S;E)yWXx-s)d{eTqLm$kE$(c-U)0>D%<(3hpYGjsg6mS=kzKqNbb^0)Z-$X
z8AcSyvA~L6zfLH8d>1M39}8@G-!FD{1b@DMBt`;)_p~>zAN)dM^k^o1
zI2U8eGXGg;>6&wIeQS(*iidr$+A~qO(@HmEeOkpRfiZsG>SF0br6+KSUp;B5QeuNM
zMO-njFh#!ut~LOP27GiD4J?$x$yR>cAtI~~Y8F^*x4ue_n-(IIV4$(y7p@peA7zne
zxc~;l$|)E@)FWChn$=4B8kWt;fxc*6ottx@jpPa{)8uy7p4$`?BSCZ%Km&IezSOc*qWz`Y*OY+u^rtUjAp^(R
z*{=SXtlgx}^?x+KgKrq`0B)N=4$486P`XVG02XF`f8A65ydsE@hxdJLLJ!jRKHYhK
zv*Wo$DeYr{8utPM)gw$OE8$c^-)rkSo)`){>P=YTcfDm=zVbW&M30+cO0(q&7!*#-
zKZOz-4!y(eY#dCvKw1WZZZ(aj)@2H-Uj#*}H1<%TjQMAq)+%6T!ZdK*GASO&t{v&$
z`yt`qAyA-yOV`ApZUOLd3d=xVYXI3thx2B*)lp_JRY_Ns@ikWy+ToZyb@~87Wz9%H
zY0Q!ZXu`NZN74^3Jv$^HzD+ZMm4xi$w~*t3{)^?u)vP8!6^$@v*uTW!?JHRNdmqHu
zJyWm7W76~BPJDe#k0qwDByRJ8?V1_3y0(%{86(A`QGTVhNn>>7iA$+m6=2!4y|DYrsf=GqiPDD0*Efa3e%7x=tDV3V#zv7g+b8
zdnV{?7Rt}Z#;T2??%Edxe^hg1Jy~Kq*sv236NL@I20rYLU1ijUrTN1}aFQ}^6b{%t
zng23`uoXE)r?9?T6dApT8OG6kn2xKXTPZ)*t&FQo^_qyZJY7WSJG^sI=r!d>*gQ`n
z4cRp^2iF`@kwAN(7AHLR?#8y|SFZ(;m9ZD6>uYObAc{>zMd8%T%LZmm;;5I7y#2~M
zs+8e1CUu>UsLYsxvTPwpgFTj2Or(JM3(Y#
zb|YDyoU_COG`M4ZR<@g%cds=y9!@PEPKO5<*M!?;&l4zpUkcO9DdYtb4VxFI`mn|z
zXbZqVC`)QPWF0>56SxLx+vbM?1>W<7OIK@$i!g~j`wtXS5|5d0lEd&U2U(_ik|37Wj(&Gyua<30Aj
zPL9UtqnvV8y(WmdOAz*hbjxlT>9gEg
zgdck6-z@(A3v>2^D44f}*gTQ6R%w3Iu-ep@JRo68!cBqHco_DjkHb+jX>k02@yMzJG~tNk^F7{}ey@l1sET!jB^S?x*-Ot(bQC
zlP~pWRHTP@oM4iOVUU`DiH?@yAJt+5g9y655V`Pk
zYA3s%t%>@=#HBnf
zQRxEt45sJAQM^BY{52P^ujh~YVF6b+yZo3pi@B
zm+aPsv$@RgyqfTG_4PAa5$*?<=*K9Hrv96&{XIKBFK6z!r=Pu~FOvXwIu*NC`TVq3
z$ovO8;L4+(R&di}GvKk2b-0aJ3;)@l`I%RDqYGC0O%H}x9RnC3UrIau7CkQz5wp?_
z%=H7l!=&9c*=?pCh7Ej5=wLhX_Y3)K!fkx0@g#@m*kQ+3rX6-{MMrHRlf0f^qyU2e
zD-R5{O!5+tLj;%3*V;m;Z*5MGJ|B1rUFcJacsKO!gqU{xJ)PVhZWd6jB)j|L_EUx-
zA>f#YsMe@rD_cS*464(DbGs97)VBIP3W!c?tfj)>ifN5TNgs0*ar|$mN)E3QYRh7v
zlL4P*ag}fPt)$&8I~?7gDzWYu2)Yg%2-j(DCd(L{Tv8u7SWF!QFVBfr1PIf>b^83q
zP9|}Znfgp*<5C6o4Q9o(gbowaRF72b^N3j75tnSqYb!t1uji0Ccb8j!Zyu%g5c~Gf
z!L5WYk@*&cY`|GNZ$n?8M!Wm7w;Oe)-*eiN{dDucZwv4-<9{J#
zl52z2>x`{y(_BUJxakH?wbw~{n^!<>`k-3Za>wJS4@_>4zoqO7T>U>yKe<|(2Lf)k
zfQx59k^uL?!XQzH=q5w8>RWp(o`z9m5vquF%R90ud+!7C`LvidC@4OE+K1EN@&
zMHDIp;$DcP$Rv3RcvMz0B{}L6(yKDcs)q(7%0+QXlQo3WI|
z@KRsLt_fneiiGxR(xO##-js`^PRMvW8JXLfJZYbcVNCY!Ug@lImv|bu(M;fkK%sA?<8G}`%jUV2+Q`~_MVw6`>5e+
zLa*yE(iCFmzPyPG`z|O%$gH0oi9e6+E~Ir?(MXHfQsI;|ejuwP_n~3s7g>NxC{A5i
zqs}iCSNo-@I;-+79bUs2YliBUuP^8eTxcL|<37e7WR20Soo|xOa-aY23E$~g2g{DI
zl;|M0la4RWS+ncjGTbF?v#T({8KKeDb`LfsMzmP*I8#((p~M(t-{BF*SX^vQ3?)Hx
ztmS%E%uQu@5CZ!G(=u01oierf#|8^Dr3Sf2Slu*rF^@F;iTLR9(<@tavJQ|IL;gfa?$IBP
z?apH@=q8Loj9Q%5>3EQ5_zJeR)S(puEEh?~%N8HCjpBbUZq)Un)XSwIe5-5JU^kwx
z^fu$x1CmWx)Zs8=o|j1&;^Y?w%(Io#-ggrd$!>h)CpGzws?>fwoJw1CK3kG6b86l;
zugNiPfJG!-Q>I-$K~|FGnJUxqO8r(fzE9sFfZJ=qi%1eETi*9qi!1{lIk6P1nW)v5
zuh9ex#K<@@B#!Z6@Nl$Syc0eV^LZJr2`+RENgiKj#8;T%hcmlawb-A>mU
z#h-6}BDS}0E2r7xk#gOtbf&awF>d(v1v;1{pHna3@r~xpsIG<8U9Ed5R6#{EhxPMK
zMH|{n3(&QbER_bm2JS^~c=f4w>8%BkA^n@zZWX&i>aBe}^?$=-JJUxvB{Sc~^RN7o
zoso;dO8gio$&DT_i!zE9UOt!k;)SXK)`T%cT#TSU!h5a8p?6Z|-_9*$Rz5H%Cy*Z2
zkU4n>Ba0iikvCNLHYmt9c(ZBwahbQc`E`AY)Xy6)`|h#eraTZ5@Pyn^zcx|Kn0NQr
z=f&M+KqrBSDB+)9`2w2(e}o8)fx|9)ONwFxGrXwY}V;ZRPmhwW{kcAS#2c|N9
zt1~N*QcmV18O2A*c~kc>jr|^1x29dDdjDdp3%Nr;_3JMzICU=ne)Nu%#a~BkA56V+
zW%!NN!1f(u-crTVLAc
zYiW88u7#~Ku#qb14R)A-&pCdr^|!O#$(<&HnHkjZ*g9*k#^9Jygw%&&RNbs^NQU$1
zZ)MUZUo!k#&&+sXuW#;?1;j1}VQ+h&ZuQbA=Sh
zUUkYU41I8X+3X=4V<*tKv}VQYEWdV$OR(s{E=0krPW
zDQ6D(if~;{@j10V{3z$48>#aLRk@CE^J%NBc%k&Nga`?O(VP_1#$2V&^V2{vb
z1ksI}yl?lxB*l_%%Nlu3V*wX#sT_K~csAr(%s{Zv9DK`=mmW1qgl)Agx=xP1b9RcE
z>7@~h4(+&Cfmm>vP%lJ7U~Y@cIUt$!!cAiktW@ijqk=}YclohFKd
zt4OQRHeyM$im60fjq)BQi}R!M6Q|!JP;76q@s<-s`~@Xp0{`RG2~F|?xi@%
zBv~SeIaJ=`0kq<&j2=8)Q!a3&;r@V&6@nbIk=T|cXK=xgppWA>z>U$={#NijmR0<`
zPxP0Qa6~iV34hephYlXXaNY9Y(Gn>+9NaetoBXymBUVTlh^uqQLpc&bm#>lKFe6T(
z>RgPU|AFEx07X1Cq0+RlU-09v>;NXs5&vf@-(%lCr?&7T;eClgx_7IHIlSHPhe?daz(u~Z
z#cexvz~5h_ZJs$AiW=s-=umZkw#M4~6Fwi#NhrN%4kxA@yvjWyW~E>-k^O*A^)Lng
z4o?&;Vg_3q-vJ)k?8}?x#hPx*A0sUP4wPB|SmhD!x(}!TBsE@!bm-{epEQsi?b9Wi
z28#F?5MR)9k}CA)u)A$s&ztxZDvxhXBUXA{OWI+^x%tuEi7M$45c0E5x;rANwE}yF-i8eJt{Dl0GQb;tUzb1w;kK4F3S*P^MS1s%UBTo%fGMJ+B7Hc#YF91Hdt0&Q)r)UqW$pI7wxk%8UW26_n0rOKaWKxSV|5OtY>FJgio&12~c8(yx^;i
zG0jAiv|1YfGVdMNV}wwEcY410A9|L{r`@CK2J4nfH_t?t=iZ~Py#ydcJIFH|5^=+~
z)2jXn?U>Ed4s_E2nP*FX{&0RJ=GYu_dkGNg*!v5>p3cwFm&6x?xJr8_3+1)-(;q$B
zO%07$vtC>tIn|^$PHC6itu=A{M9`^BtE@D{Nx*u(Pkzm~aN08eX{Dr>T#Oy#
zH{SCC7wg)isSWFJqso`&QvV9B$^o{^Bm&JV(>uIo5I`3Cb4N`>wPeT7e{Ie?u#47p
z6FmL>OShjy8h71xIr4YD?qOo!9tJ&to(QQ1hv#QAQ-{v>8F-$2c`etInQuzWTV`gU
z%!YY~Hwdzkuj@Wu@i@B)edM$iB<5ui#02+v9Sc9M$1;reSU^IymeBu$v7riYNTY7a
zQr@e2%O8lx-UP1a&$o#08o#xz7N!e8J(`Q$`G&KJQEAFHtfSGuW#za9SF`l@Pe3pyMo0~-WAVsdQWO@th|LwM}Nqr(2n#rN(O)h4kUpm4cbJTsU=`{Dsm(sZ!5HOXmXxf(Bh*zu)#9
zgs+237*`~|X1rK-!b$t1useV8``;&9?5Ln{P%q>f7$Ia6nNF9&-~a=0vkA(m{BDqw
z{2LSQdCvETJR$~$G1qUXDx4+=_w_M&Yk#@5qLzbE0@YbIC@#v0~iv+
z`c=AEqljew_)ekt^G{d{PweDL1U)>EDVlxc4vtK8B29wiPge}OeUul~j|{ZVfBqZ>
z#tCnwzz%9Le;$1`TI=rYqEl&a)F)s}(TBaBDare(Kg$pE?q{dp;*y&mMr{4jY)k%d
zn7t9gF!yXLU}h?H8?d-?)p+M2mJr4dgI|PmbGX`g65km79&aY&WuK)#9`-
zKFp{Z{G9ZJdpF1p&Qg!V_rC10)V1zh>E63HOq!6hiEqzopZiJ|GyqdNZ^I4OC7)+Go#KG`dtVNKZaPeP>bYw5fsraBDg6nsVo>GHzPnQe9bfXsxUUzu9yy*?r^*@>iCgX6Vo6y4Hp{Fip
z*x3;Rz4^TbVQ;&e$Z4lP1{xdve3elN3I8r+fLeHA(v1Scm3$IVzL9kuMP?Orqh3Ff
zx&?htZJEMcd7OP)s&nan=BDa|OV!IpBs$roIt7G$Sh_9#!o+MvfsK@8tw!9l&u_a~
zrLuWL|6fcm9OtLa=>?NujLj3J3doIVE+F3l-1@bVO8=l^et6zSjIIDHGU+40%ID+z
z3*+t>;M9+bx?DvieGCv0HyZmoc!HWCFtL-O*o7&Ctc$E1CwsBBP;EA)FMeXxxkpbT
zL3zDXIn5dVin&9KaA*?QFPZB#*y)};b<_5hXPHKry2xPLs-CG^W|hsg;J+q}X?F!%
zYmSaw!G$ruY9oUC|7f}jsH&c?`w&5-mF`rKZXTVYfRuE1cQ;5&K0qY|Bn6~Hy1S%X
zy1PL@>YL~9|G9K6mcYAn@60`CpS|~)8N>zu1pt(zgAQ|}8@I;$c~ipWO*d~x(fRk(
zmIztmjS}*oW$x`hw6i2&*%i*~YQI7?D$yX>LZYp>HicQfEFs1CFBVQ=!KW?Y1Yku%
zj~74v==`dvWjKt8GBsv&w-XWf^q1vK&ph@U>{sHB8bezCUca8dY>8Ppd$|`N(T+pPeqjc>gc7RmMY*f1%mEvojOnra<3?0TKPA>FHZ#KVO8Ovp8dXN&*h758AF1YzJzC9
zsm`tX50w(9CnaJXEB9p4GaKNAn#gDY$A#oQvyTpS98LT{i?~qPwJ5Xi#Vv^Er}kfH
zyHiAFrD7bh<6OS`p`kf#nb=WQtCagPiwJ=g>ze9U^WuiV^I|oj7#9Kc3m<=x5!q~*)PnDckznIAw{p9t){xj~2?IAnj>+LPge1R_uF#o)+$0J}5
zC&`xc<4d)x)4CX8V%Z*Jje2y4@H{&p%kk2fh>gCOHzGc&&%$gra3%G?4o9lp5(O=y
zT`i5cxcWC94(s3NgvVdp@j;dcxOh;{oGMYNZm#ORd`Y~J9KOddE%dPW21Lk0@-#6D
zlGwVq+?mSd18&pAT%-V5C@oF+3ZK)kz}ZrLuafyc6KyQa`M`8x=I+FPSw`3Sd~CrN{%uGfJsgD
zvyD69GLQ9&GQAUVRUrxa*|;-j7s%7egs{B(HPZY0PdAa)%sfK!EW68T;FxG378>Nc
z@OVt)7}K&rRo#F90HgXH&=Hw?0)`XcAQqWeBx@G72MGw(63bAf4rTrezE}xA
z_pg9L-KGhQ6O#>y6IjkI=rW<%+01h15M*QG#$VOh2SJV>U-LCk;wX&Y9Pdr9dewk&403*JjSAjH?XYCTT{C0
zs@{?Dum09SrCpIT8MPQQ0wJX`!4L1bc(0cMp+U;P$FoRe>#tP>c=j99KQ#7r^3V!8
z@G55b5&{;={Ep7hKVaE9uUXMYpI8us3J2sC9meft)iIONmCOY>KvYrobAa?}p*l%d
zsTvV{`m$ms6Z`3Z!GwoEl^aD9DaLf95rN3rEeP2!q>UqnJJsg?{$Sx_j?>j>pLC9s
z=e~92O5x>!h7#SRIP#a%(r0?ualbYVr||4VW(<4W{m&rHH-A-AiDAocOGzF!f`lw8
zN!0F|ib7xKb<5fQ!SIz6N2&XEaGKP{*80UDlkw+ZZqK)u1Fj8U^s!$6Ze<^tTO%~!
zt1*b<;`$P{4Mvls4ZCCv7%z)gw_sAl8B*|2{yq_2h?4DDvwcZ3NUmb|si8(;ouTY}
z^&ni2_HfWFEIHo(mF9W#Ri-VJUqzVS*1fU{6bxr8y5v3{iBCMGORS#rg6v)lGbP;r
zqfu5k`bavVZSwfC1-+GIi~ZSPYmRDWkEM=M-fk*+o>F;aOG
zJbGG0haHTl$(7K(Y|yk*ky4WbMIq0qaOmBCD}*ExltmNeYK7$PcFu*z2*{^>m8W?yc9UNl{sC
zMY@T#c_Hl5jNjFrYg<~Lb!6h+hBFZ}*Q*i?|HnT3&3<%*{K=F^I33G;D7Ecmt;g|n
zT^b!7y>;u1Dt$P+vJ&SB7I`NPOfb;EHXBMK8t}av`nC
zX}ZES_Pu5HQh(A;t=o>gKWk0pZ1-z-uWARid{)6hXp_e|N#I4DqLG2es<#{?X5-Vh
zt9sBh#(@HY7ewGz=6`SKoSa?oCY3Lk0-`fWt~B&(p)Gsm`=KKT`j9*3>aR^PAo#Q<
zeqfCY0l;NQ>a4)%`?(cngAjhJa-{^#zqqp(jM_-D4-SiXM(%%m5>bPNj&5LJ09m?O
zyfk1VJXUx(SMWIPqq9E!okcH>9lUV_wSIB=;(|H0w>?X}RC^1f0}{qh2A$Z^NZg_W
zwNsS`j%Fj@a|XK;5x%zNP0T01)djpLdPKdmPx<+Ir9dF8po(&Z(nX?oXHFQXRUt&v3
zBig~v81ugV`8$TGNKj%xC*%>O{w;(I1kY|(zIpAw(y4XG%0wy3E7v$4k-%CxY&hyJ(QRN87RH2Jb@Mg{n5X+zoAtCg>I{CfE+oPH&bBQ}
z`E9VncFd@zN9QuRX7Z|UmWY-hm2f!C;(p1!=eXfbJ?~CFxQNc)PX?|L8*
z0g}P4n{xCZ#A2R(%L>Y`&z89?WT@$AHM{4sSK?+{|Ts}KZC*i9QdDY39a
z%DCn~|EoE_N|80X_M335?Bu1h_}#5Wvf8bV>NJ2tA_n#bJDoWgIbO4opH#A5{K+r1
z=jz+v7>bk$u;7a5=48-cR~3NM3*->1y+Ef7d1QCVNy)Fy4B4L$tz1E`d>@UakH}rHHMV|66fs
z`;Ps-Ela8(3;(FMiT~avDK;3bwG?$q&y6xWoDSq|OWbHCx2ZII6GTKD6B1!Mvd6LF
z@aBRD4)5|h6nQ@UDo`$+!~Qv0fScKh_IzDSUQs)gzR$y)DN92I88u|ps*#(xn-$p?
z@QrKHaoB$R%Y_~*0<3*_`Y`xI4YnbTu*f$S6lvjh+!{(t@t~b%5iU(_7}!cYT9!kj
z)~h3>-$eYD90QU@Q3};d@<>dDg(X;vuVwyBm2+7~%u-9xDiQdcqD7Uco;~%TuF^N{
zmM#L(03$KF`BcxI*Oqrh_ztS|#6_&NPzXA
zX=EzRP*9o#9#n+ab-X9644z0|;BOP}n_u>Y0Db8P#U#eIm|Ao@3*GP-}fBG3q
zaUX6waTF%b>sr8Gy9QQPsP@g*FFBIY`2_?Vw@0W1PkU*uM#6+2H|gn*PZz4Exgoai
z=*)UG41VadKnB7OU@vW1aOS(me#{5mOZFWTWQ<(T?eVmguu}Z3Ai5tf*7aC5Akia3
z%^0`rEHN7}qX4{cEc0O?uU@qq_vdy=E(|dyTs{SPDaYE50G<@`sP{wSctAJ`vgHAc
zhj_fHMeW~tk6h*Q+RVPdO3o9bxaoW)!Iu6cc9hLS
zq@&CFcoLHI-7FGV0;csQrhaJr)J%M^;U$+-*GXqQ20&UpEU0%#k9HU()?r*FP2k%I>D#iBAe0bsz?EL;0X7Q%SV?%r2B%x}&5t9g`+o
zE#%1`F55qbVBysvuS-6q3PH<;M0Dw9l({}ksQiSY+cK*#A$GAX@{cW9NF|Pc1kW1G
zp;=_f>ZK5=3?8U1O&}5hw04JOaC%dc;}I7rVz${1Y_|d()b>dLE@@qiIM`?slmgB%
zj>TMav-EkS+V!K0_Wkt}i(HL)-EAjIX@GFSf{m3E2Wx?LfJ68sT!E61$;RJjGueFE
zL4{YS4u5Qi3%-Hwzs;;`nlFkA$es6R*hz)FR8Dy6Vmf9gn1UL-0Cq$Im*vv@32F>h
zog{>yvF(<~=Eq(--K(#1r3>HxTF^dBsPO{Fd;RAHFxl6_mDxQ04t<2tqkrf?=wQaLrbc_{oD%6@f@}Qc2e$WX
zaL3r;lCfj_l#Z*A<%h5x#w=a-C*t5yLbe-zdw2)znpi*68<|1W4W16WYzDEWNps((3X{zm5cEg
zn#Hi1!3g>E@oiC
zL=ED8g#TPTlQHyjpj>G;;vKo<*rT6T_@Q|BcZHhB?)L7WFbe>yh^L9z7sKqQhHKZ2
z%M3b{6ECQ7yT`Z5_a6RKP=3%&n5mopdnzPLSICg%l`x9#aRm|G%B0{Pa&L6~o8Qw8
zASyu9XD+PD(1Y9>5GZzChwWZ82?H^s`D8$Boxp}0BhTq7B{7ue1fFDz@<3S*
zfOY0%ZWv&Tc<_jZkk3~0{wrrmf`whDpK2zY
zfHUQu!uLW(fWUi)#Bk&m?VNqySY
zdZrtf7HXPcDf-{Ip)YomCJ@pFQc>EppoI)24=FI|+HoSuui3sxRK9)!t2-V}#cUw=
z!U!wO6kjPHFwBRV?0fZapo4m$BeB4{t=gaBE}DsGp-M>{F`8Tn
zeQDigR0(M29!=kA_J0drQv`Rktnc(1oV;~DYUFr1o_>Fxi|@Y0#IzmSu>#=AU>log
zp(>0K(6W3kYA<;Co7UzxJ=NxohMtfnpiND0QrCx(RT}y3Fcn
z{=~850}vS5=c$Q#*mt=u4?rK*t~>riD6xM<@si{|51Kh1HC?V=Z>2wh_#8T?cT^4w
zH|&7q!Nz49GikNZNkf&glNJ|y`ggLOzXS4cn;djCk?FQQN&2iNrGr
z9tKB~+C|I0Pw__3_r2Y;(*E!Tfs_Ka+=a&J;m#D8j_z^N{T3zbr?Bdf0Rx&CQ@U&H
zGf7F#_ITKV8*%x9Ze5Vuiyo!{P~>}xL4goWHmq_d_`fn}gnU;nUOvyUhs=GsGaLu<
zfz@XP?W&>Wrr|4wiZ&WZvEV#~(yNQ1Gy&cdi(a#O*A%oKmL~&K_H&yI_jP>*J^I3p
zPxQSlcnR62CAaWFp7I2$Z>%`8du5h~N!`eb7hjSj4{KYl`da8qMy;ay4T?r|`&8C}
z<@AqcBQ|o`bLD@akBC07wi)wxcNk7&jOHK>u*Kq6^;tpj@fS}0TbR{^hP-hiYFq^h
zVdk+^G0y2gT=w9e=W0s>wb1E2tSTBU<+-I
z<-qNx;<{n|_r+BJPwlVoLCU037~g7t6z?}Paq7=s&{cTc-@S^WcR>WXZC1-`A-94X
z&`!3WPSs08l>rhZ$bJlnMEj`V)~zm6^18;jGAH#@i;#;iv8KyFkcE1^_$V7dyGV|)
zrY_<4lW~3avR-a^W3HvxV_YSKVnLRd{BM5
z25MGY)V+TblGCjCjU!=PSjVRaukGX$n%T;8H#<;WJmcUXQ{MZTzMEK!)
zcx`U!-fh-b&tnCt@$SzYJg$!{En%e$B1cOhh8lt}ku^#W-*w+-M^?YRxA*OdfgI2Q5qL3p@aU|%<{2?Yls
z1lbFhWASs}xl4kerxYX|Iai+w1Safv8zUy8hCn$$9^AauQ;&EaYeJ+hVYzR^Rk~AG
zg?GAEC2O*vX3g+Tj53*7Q+7kr#YzP_ztTFXh{}X`4vn^`R9*7*&KU?vehe#jAVx>r
zcSted{M@XNo*ZL5BC@pO-A3{TIIf;}gUwF&?J6i!pJ8vIjbbw-v^C@J#q+iN_tb+^e*|u*R>x8f*BH5CAyB8>p?
z=th2Xegk#~F27p}bN@3uPidCOG{}c!C=BohmDLXX22%ycqW&~KeM~?E!;i$YVmN#b
z5BYG<)q)8aKkjt%cZaIa5e-t=&*0N|l058Vh7SyH@MM&9G8Q#N{rqX)1h~In
z)%uIPhQr1>d>b`K-sC}J`lMiyxDcs9gxS*-t29+fDILt0?CT2DaRb?d1wEjgGi_3Pn*WW}ta1ANzFci(sbSxizd4f*&-^CH
zEA_mVAK|tCUkAIFF~IRQ>s2}zEcFSWyt2B0K0qJ+Z+}E8#G$sMeAgrROT?MytyOPW
zDt%&+`wT|e-Xv6rj8W6RX2;Pw(Rr{`0B6h5hW4=|4@J7+hdX8-8+|TO1!M;&>IlY6
z+Vxopn;H@a*)XzwGjnGhMB)1r*cv=bDPH+BI&Tfh2~+=DcNs*XhF_=m`gY<4siw=L
zD8&cM6$kMxmYRv%A3V*`15EI-4y@Zcc&kNAH-X%23UV$sEfHrq`tO4foHdrjXAj5g
zezyyyti~fLaJ0YF)I>rt-|XVZn}&l&_ZiqVx1ETmFJ*ASP1obU+rXV(Yy1#YTwRb(
z_eD9TQ)a7wjhrDlk^wc>$)b9DxqMsgoczmRB)HCpwoV(~6C+@@__J}!R#F~W-IvuN
z(U8JMEKkGQx9vh`ph)PqD|=i^$}~tx4$B#}8MW1TmijL_7m>n+xs&aKrgqZ!KhqDc;MxW6qc}hWa_J^XCs<2W)_gs(kH5$W4uH`PybfL$1
z1EL+}y{}BJi15=~7F!ygQp`?1woiQ%q^UhQ^&V)qU3m?V*xt>!XOe^yq`-@y=iyJ>
z(MBs=(eU)i?*o*aisdsnacLCy6~vON@4yep+s0T@3N#GG_l>EMo=FXF>okBV@VN}l
z*Jl6|wOLNAZcvHDS0b%siauw_Mh384ePMy2U*^b-gSIaAOCjxN{3)GfB-A+cNC7tj
z?Z!`LenS5u0C>9mQXmv09PbSv1dpAiNvw@>J^H~!{=3Qb)0@+*s9|AW(nXIIliBp%
zRsUwe$B91#kN!-`BA|QW%&f3y_n3CR*3VjZ18P^&rvWz6PgQ?$09{>8tKb*|%wKwg
zD-j~$Z<=rLjdt3neiID6TN7EDL<_1O@y*%P*tf6BniF%x1aEHfjuSB(;ake448-Y-
z6*bb8abPClZKEkS5S@!bcAkx8&u|C;n6B9ZFPEU}0Wn#^^lYQ8&z3-ZBvQXAxIXs-kA
zKAEqaQwAp850o-c?q?yCuUw_z;Gmz2H1f$`q1qpVF`zmEw84pJOPyHU;ZVmmDoM^b{@E7vrS`ufy~RPomRk;~4*cH6PYQo9tVpw$DyB5Xj?rK966F
zbHrM#w2bq-tfoHwO3O?HqFmMri=ATGvkwBK3pY`Q%GE>L(R&DXGTCW@qM
zVAVawI|5qD%z_p3&l?sfvRFJj-XJ}G1fZa8Yzt=5B4zQ2fn*B|Iq#&l&`Q!U5ix57
zB91iCl|Q=0GPe#$+#59?K~d|DF8^@17APC@tKEg@q{ugA9d#K`t+u6+KmMed55)((
za$?w{Sp3GP4bjAaBzkoiuc-i}P>OArfJQ
z_2#!8VDczYUjy!j9Ke_>31g-BnTD)s?Eu@bb|NAf526XK5k2q_04^Pnnec)MC`W$W
z>pi24V)Wgp|E*Yz*JO>sDj6#pF8oo1Pru7d37L_-`+C|pt{pOv)0OVy@#OyRciG+z
zw2Fh|6IW`Qt!o3=PT^%KXqpC2ysvX5U>02m1za&|W5c5hjhw(R!W
zPvXQ?f&sT`Pa8FNGymd}-AYBfx)6k%sR3Z0;(gQJ^=P#&8H)My_ejI9vSO`z(zmOf
zCLo0(*^`F-KG^L1gboJY{RB4wmazBm
znXBGb!^@>4V+c>?<*(_IS_+H6ts}
zmV4m{=B^U`)G8dH{Evs;3xazXR~#D1(lCXF6zG6T>c;(b)M{J;IKCx0;bp68`L=6v
z^#o7XFvU)H_7km>u@6{-YGif`n+)<0|K0ohikkrr2OHYp37c=3^nE~q4lpJpwW%z=
zIazEN5Awe&PB}i;&L+g99W@)xo&>(66MKwWg=dAlzBdrnW~jPhq@zK3|oM;C^61uZi=5D2r*_1#~(nVFSDH*~UU9
zu;2mu0)Y8&4dg)j%mp)z#H17hhA^9E!6`bLj~`8(9O%*UwTtxIk+7WvWAFs-xC!6)Jd|VRrzmx
zSxjK&9b^J(Nq__*=WPqfFLmII(STxb_lOU2VB`9QZM`4@WacY;eSjf>A-sAWyK=H@
zcfx=um&-T-0U8?cqdP>bMmiGETIg4(i0yz-(PHu<W`C{}69;kxup@g)!_AimB!rpe8j-4DeHzzWfagJwh^+sn87ig_{gCqS
z=BOC|d1-pne=(Hwcp%I+s<;O=`#HJ6?ew4eH&2?}rB0S8W;7?AxwKt?PUvK0NuZV@
zhsEtW49tEDPyw@nGlR0kK>XO={NEr@g%^1vm1B_Rb
zT^hv^uM;~ytb};};TT!tC>c16WC=q6HbOlLOzM6#LUdX-Qh7uD%BmudV%74QSqmvZ
zQP~HEsjL{86-R}R_aD?lioCdmXV%^~I|jMVU;uwq!urA2pA0~R2aQ68Bk7_BJVCWB
zqv%0idqXb(_6Eg-nqoj=ES?pYCEm2Hm+Jx^sI{UQ#kwwd8H*TKG>}2efU-YBN@sm%
zP(v~SmrDBBK@FoRAk4a&)$+6BeF9n+UyLCL67^}wKWERcc3$hxt|2M4U++L!kT=mf
z)dOFFwhkYc#Jr@*=J!wLY|2O`fWM{ngBWc5;~|54Y!SRaU=(Q-7q}lMRB#X6e5I8%
z69Rxy{m&T(sOYau{9MIU
zK|l-#sip`E*exr>0rCf;i4?)c?ST!Kx<}_`eceDffxH47mVrJJ{6frTNqj9l?eTd@
z@LSfrWNWh7*k<5hXhA0l=knTDG8_}6fO{G4PLocs9~?%Z2G%2&8Flr~pvVXA4=>$4
z3IR&c?15PdV$$<>M&{YyYkBYnKEHl;6|V_qgd0`>`5+&LaHPo0}YV7iCU0Rb|T
zmMxcHG<={YjQK5Y65>2!TG))6zZm#H6&+_s2k*#oCURVg=~hj@Dye}TScjUAx>%=u
z?XX`MtJ^mQjxrzwo$S>elEDkgw|C{Ly)bSIX#VUq%!hP<-fg5lia5u4YAY79C5YSY-sY)m~TT{PNC
zC?}Z&<(HtZrXw3%M*5YmeYT%lZOkK8VN=Ww;${>1$Ca#$p%3m(k4kmUje*xff!yxR
z+;gOzD9Y8ea+JoWPDPCvI*GSC+R}d+QS&eH{o;7HaQNsyZdn@<545Ssel}_J<5nRhefgFn^pP~U
zocC8I)5|X=o&%V;&V<}ocXQsyH#L_kt`Fnm<#2cUYU78Ro_6bg17Pi~xVJlU0|t{$
z3n&JVXnAU$>BgMaA^?ljoN=2S42k1I-O~PDwAs6^>-cvwEMb{O?hZn`PJ|4Yl4;JP
z>5_>O*Wz1RS+q`B!8LC>l41xJC8`+ky;F*}9fuy!fsM00ahaXGuQh*VWQ|MwO;Gq
zK1kVy1}sDd>CA^9n*pCLyeWby(w40mBIYb?C~?OD8)L;*(_CG5dHi#ioQyOfVF>)JN;O?TZIdeyC-8d
zi***++lwJoHsCsZ(>&MsV~%sJYY5`dE)w?HBINuxhe?u~d31S!B%Nr=q7
z?k|rra^DkJdltpon|JZjW8b#gPNNaR`Y|c$1kfO|Qpk?~^fSWamu%#HqJikhqTh3T
z^qbhi_oa~D0t)_w8t2cx)`JUQwD%;yj}fh*2G%x5D8
zD0#*RYQj*2ffBpI#^Ei-`?~V-a<#D6)fqrm1?`6s<3$1OJOd$J3w$Rw&&O*kKt?q155M)OK
z4^+;6FJsV}B~SK1;h3p{2@t!A&pU=h)>nr^b+~Vh-UL}Lta$^UCi}81?owqjKeur0
zAd*CgQ4ZjOfX91&O!FgIeeLp%DhK{xQGF}p$LGiip7$FScf49r1OQ5ZcCmlM`3MJOu?fCwqWH?fafQmw{aB&%*H(*>lXr;DdeQ6YqVg
z3ng?Qk%2%TwLW%ys3^-?G>TSmP{5BK3d+Fr5X=0Nq#zpMK#7g
z9rCTFlX$cWc0G-13juTeN<6H?a|4A>Nb*5Ww}E<1e_@^XCTb^lewe)8D?h(Q4N9>y
z3-6XYcs@)2mn$Y(>W`LvFBjY$r*++_(pc_VJ^$=$`fM=jw<#+Kg&g@Fd3)TR^t6rK
zJ64DTeHl3XJa7cNsfnUqxzI7^u4n*754f~V@J{c1!kIk8f?wx>4k~f#6xKT3LZcO)
zDfgi?&_wjdjsO^y`ILU2ukZuT7_Kt>^Oykz{|~qJD-O^eqxKftvZGjw(c#ywQaGkZm
zca9jjaQ6HQr#F~+P&!O4#7@Z|*$Q=W{<~ir>5B_X=eW#FDpFye+M?P9MV7=4I^mP2
zf+w9g*uj4fBWN$ejfp^r*|yh6rP6>toBXl)z^mlU1TNNEj;?|yKc!Mx!w#`iq!&Lt
z(b%;sG<$)JQM1#v0NThd^NhLzCH3Ojw-pSiWpt%L2z?LMK{sm0&!OQ?+%VXqkjNC@
z!&B;QJJ=~(4KN_3>z>0KpgfFegCC$G%9F2EAVAXw#*=OZoT`_*VLKl$b&kxaLH2dY;@|DzGq
zYseZanAXaB$QdB(OG+hd##fiB^G+xK2MXwM*w
z%>!TZ>DyR63WITF;DFe66e~W}U
z!;XgdoA+VeYWl+!?4dTNwqYdAeKEYeoPB?$91-Ghd*wLqHfP&w^7-sHie?NjLYa)J
z?hBKZj417vZ#x)AR^`$~Y4=&sMwicmj`r<#3g9%BHJLtdT#(`}jQ!!yS^na9c=p0@
zK8>pS>yzTS|1%X|>OT_;qQeWq^nI#b|Pd=?ZQz8rkp;P$Q`9$~_f#EdX
zRcVJd-|oTuH)VDt>XLKFVw}VE&p%%r2)TeM3iZGSzaql4EW0hrjl`DbMR4rou4_t$
z_Gd%u@xsLYl4ATGj_vogDCScIBL;f>QiV<{n)*J6lelhY@o-~=$NfCIpVw$uI@Vt{
zoUO4sya56?J~wu05@p{A?bhskKERs>5PAC!sSPM%kv-E*4cgZ6�
z1Y^80Eo``J0~CZjxV%apA%5jzp%(buKweky3BBNL)~NZ%18
zcKHmhcmkTv$3~yit6CA08c=`8py7VnRJ_#M_uGv@3dW6A5%!C^S~O!me!Q?JH$uR-
z2KorWItF%rZRZtFs77;2&PY{CJLrXj+eV4RI(L2$9`5Q=M`^Tu7kw@fU~;kt`Vj|5
zvB`fg{Iucfl0k~^PpiLQKP`U?@)66EPk;soAsB2aQE-3#FX6=gRjEneWJ%wn#X2!wOFpie+AUT)a4oFb
zQ!c*P8q>R|pa0`kT&(p)ugbNpic+nP0W~n9A}kj2bT(1iY^lcC&mWzy&t&MGS$yBU
zr;x%obEnPJBcI{qcSEVe*M1@tO#02Fq9(M*6{Z7OkGg}=)lI+QpXI&2m-1%ilVA#?
zA&Yq>AjF}c*P6AHtk_4*YvSVcG=adBN`i{)WO{Mhq^siL_VK0tk8b7kZ>>oFx1=zC
z72efS0BUL3!#_&%dC=pt(+{Z`@1P5zj&l`w7_3z5sVSh`W0O=i4s3++65`KL3ujU~
zUAgRrxp3|V+k0$U%674J
zkAbjk(LBjqj=#tSlARe$y!ZQfF^DlKI_v}9^9V@`%4eHga2Vff!fuBMSC=*@j^=7u
zHx4$O_=IovIhpht2}Nmp8(enYKMwko?ZiRkodv~f?{Z8~z(YsOH>F9r`~L8jsYWDN
zmoDoKh2zJl{QFv-suT(EncWonY^0y;c~rl6^1mCuh_+LG+hstA60?Z(Az72*t+HS`
z8eW1iVN~y+d?*47!(dkhwNS1(Jv*y@m@H$|Q}e-K4g8W1$BsX*w{QO0OnN1Gz#wH4
zm{urSj@!{BtRylO4W>(Up=(i`5C}Inx8)8A6@*Pd+vD>un*cPyc=DT+;;T{FC4)ar
z6w4JN{sF~dzcXVal(6%5y`@XsK6`_HG+NzTDt!G^jF){VNyXNk9=2k+QG%;C*xShoM&Bf+3AtJh!ZIk=2%U&||D*G8p@H3g
zvC+jf8XM9c^3IH8V&qk~?Lqs~;+~D3%k&4-^og&nj;$+d0*5|#5V!RGHVj6y?jjL?
zFJ%1T5t!c_@ZmXKZEgZuHhSmszuCMW%`8|*rMlEhkM_Rk9q(Vu)sKyM4b2vP(uZxf
z*4s&4#1Qj1ZaB@hwY%WCpj>ib^cA$dywz6vy)NYUM9EXOy@N-d=^JF8(vL3#Jx_qy=qt;GhDU~TjBFXJw~
z!=TU5+01wxYgm$a_Y{065h7KB#3ybZkrFy=sl0LC{Xcm-xPfAWnwkZM1g_&?sMD{y
zP5X0oqDe^#Ps{Tuaqv8~ikOEx+5@A?4}on3{u#NB0uyYUoSY1oB`U-sc^Vul40z4A
zr?QP8;&vPmQ&~7)$-^ik$fefL!ijU=bi~|tgfTa8VeWg~SLv-OoiTyze=i0mR
zd`xyn%N93!qFlXj5(POZNx+>2lZ^j!0#DzBq`&NrM30jdVGV*FMB}H0lGdDZ;biS$
z{odH`m&srE9V6oMbByxo%b?U#tVyBjmpna8ti#i}-2cZIl;&FN*$zGGSq}=?t@5@m_lKYdC8d1YN
zX0DA84e`^bFDWNjpRf)%_P&>-{qz=k!?v;)e5~}{rk$#AOkICn3
zkT-Dn6)q|vIcSI_2%rjpC(aBT>I!)aKHd$s72+Pa`arD{5;Gh_JA-QgnQaJt5l_SBpqg~yyIQs@1#<{i
zj0rt8=hxr+diyqPXT$D%cNP^M4t~-@`F~t#nUfL_?Ad;8HBR@w(BKeqo_U39B{!50
ze)W@(-Dg6hH`T};Ouxy5^G)Ml@y36R?PI}3JrNrU2yCNFm8X+W;}0p;t~nh*Lq$CX
zPVeP{!jeEq@x*asTY9nG@ITG44Y^pCuS_>$y&kX4a}YL%(gs9g+!K@Eu{3$!*X#PN
z@8Qz_Qo-~(A!K#1$YGeE2{rtX*W7~b{!Kqn!K$Im!0V-%3D^Q4)4ZqwbZ%KrTH!Q@
z&sd#NcMv{3o^s(c{&wVaZFurH_WM^-vA0$4qR?cV3@(wLp_H>(tiSCMnn-~5OtZ#r
zH4Uw|XJQJp=OMOhG7zcZnJW`hiszPrYF@|tpz6y1;pkyy4JOiEq*>WrFKdE3awCsI
zbY$T{l04=^g+FJ-UtTjCp^T69hfC|YR13$SiU6jlYV)kaKyB)(AVG-e%es}rT*0h{
zUMjN&Z5SdOjk0t$fU!6UdarccDV2$y&O7PQh84vwj+T6q4i%3`@r@jcbo%e#zsIjzXhfI>
zfL}N(FYn3Cp08_G7r*9Oa6jXK(}^h5$(o!<{GiT{+hIK
zgGo+%w6R6PcHiZ5^Q|0*j98o)+&JPCk*~D=6zN>`s6nIio@f6dghJJa6Q1?J3%tJJ
zl7ajCHcUETo4iGDR(^i|<6oS^$9s<-ArxszDSYrs1TQzGf)tG*=+atoArAib6GS+$SIS%_pJekPaQEIOL9tBCeK*+FZkP);$E_&A}S)Cv!yvDXfy4vlkom3E&dgDwjM%1S3g?X`+LYU&Yf9d{pN
z$J+&nLP{G?QKw3D(bD9fH0i-GNO+d*{clKonlm5BoJhllg>TT|eQ*&G5gBTQ%(?vlVR_<*a%`Uo_YZZYBp8ZDnL%5|olK886E@1RZ{2DHUNnJhh
z7nN*^3e2|vL>WwS!H*)qHdwp))tb%yP{+i?M6_5fyPyCS{^;Be=abKuWZm6)zxn;O
z)bTm#N&>lg-HGqqO9-C@Y*BuH9CmfH^biC7JhKnVdD`Q6F#kBH7u}v^%r_o$a&q#P
zy$KAayIw%4*|yxN^w2*1n(y}x;d^gy;z6Z@M%Vo4N>4<~!;6txM5-9mo_Ye1bH}<4
z(VT9yisws0$xCK;SK5`A(**|{b%JIGZA;=vjH%CN)})xUu_!#xvwnnvsULe&(AVDNS@z{-x?H}bxu*+B+_0o;_nA+V
zo`Ad?nji11+Bi`q#SytBO!MgOYs}}ECqzPt`hI*5X;<5$*~SZLhCfP6x1ywsC#sYm
zD4O(!xp{b;v}^1(5)bC131o(6+F!Fn_u+fOCigIfVJ&8qf1US)6`(Px}J9+>?W)&B2uG
z3$S2F&Tik5dH+!9M_6WHV0d0afR0@EgxtemWUa#E#Hgf_^Y26Yzy`5PgXDC2_DM6A
z`NLQ_Y-hWpwVK@LxGm@J8ORzrrXulo+A`DTHp}MJq?pdU3ogp-JQSYmalyW_VVUGN
z_wjrQd())~yWHTiJylgzFZRzswElK}V^=vVRTMonr6$ktP=Y|rjIpM+w#|ksPWCi#s1e0l)GmT>T
zCPtsPERgaZfKrsK0iqo~o=J==uas(WUwDwM+x;aC8Kw*0U2O&}-3|{351!ZjDnzc!
ztzFDT4EXHOyqOOjWNt3}cd@dPNyZ}?g5l2e1CCeglDv(1F9_RI$wEs}fQ`FHR
zt%~V05!citvf-J_IJg7cmZY4V-1}_taoe9TUwYhj;G%=+Hn?HbA2$2mC~9d%e4>=p7sCVjum*h`)c&gE
zC5_CeXf9Wpcwpp!GrNE`2KcIi6oZ9jAjAlz&PDq`Z)JmLWh1-o5N$P5*=(jU&fn^r
zDB;bVjpL0BU>l;;NuQANcICcetGg}pQhqocV*5xkfAFO^VWp9euhwXh%ciKm=hi1}
zna52ZyIE1ctZH%-554(M`sB>vaaWEmz(SAFnj(^V<#z75I942qsY5eWUYm4+#3{?#
z^cm}L*M%RBqyd#`potHv1;a`-%$8+?Nqz(&jf&$4iwaoM-Nv$A_g^c
zZ52$nej2`77tF5`0Bpt!xc|DIJ=hRtdAYuTRys++O~wVAJt!x9YdG7
zK5Qw2K2)W~Ju!xNe=lx%SR0QY3Ev)fjLru5N!`pWfw1bc%+AS)1OEm{kl5(R;5vfj
zSa7V*q*?J8vg`nL804Nlo-3TRav&w(CiCr!f1%Vh=HLh39I^tr39?Nfpmr*3#BSnnMo}pMR04(_ZR5z+8jw?H|gin!W}-d?Ios
zHveO^!To469VfEOan4*b;iik#udURYix?^I8O$Ui)P?+}EjN&thv)PFmw>?8twG36
zd&L2|>k3|_=NEzl6}Qf^i7e4`L!va-&3VobP&gj^
zXvyXp&cy{Nn_OQKfDPLWFXhs9u!FHVh>I2}tEXJD>c<1jQV6_>nL#LY
zpMSXg6s|)p9wS9wsnf~UJALt;b=&RQv34QGEevZO8!KuSr&V1J-^Z(hzVF{pvdP|Llbw;hWhF^SNOo3s_TD3#>=8+nN><3o%-+i0BqDodz32V?{omtI
zM@M)b?(4eF@fqhedHq28_zaaBs+h5FN9GZcRRG$k*&HP1GPKCqG*X4-YS1{l`#(SkTzm*n;i(@k5{TM7dxf?2PMTrpUv&x$eJU5*iqYs(O9i_WQ0=NsLRtR(i>W9-df+6%F>{K>oLA)
zxx9diPg(jV#Zez)rtq_$2}Uf}?e{Zf{JcjwoD;2GBIIry%@PZ~pu(&%(IDu4UZvU9
z);ZGYeE7kxS9O=!u^1Ks7R9-|BbKNqzl-9rpCoZU-dMh1?U`rk*Q*dpi`QHhL(HFu
zjXE&+-Ug`S&bv*Q?`H#lov{X2$oi)wCVGX|8R?10abWAzd{C-s5$I
zh;cJmmruS>K;l}c5nKDTm{-74Ghzz$o~D%|ZPnhMF?nXSZ1>=Vh2IQk`qd6kTHN;b
z_MB(ERtrZjempYH**^L3fv54SpBUYDm^`6vD?9TKE1-V%H<@*5!y(P(@xMQ%_s8QD
znVX^BetdBRh~k@f5nZ$&&F5$=
z0YnFoLpAO~nq!qUm&hT&qu^1k>0fM*KI!1)<;5Ah{$j^_qo=3mq~oggOVvWHY+zJS
zfnfQk*!p(q-!1MmGW1-
zIhiA@ni9}1Reu*NmmYSLEL=i^@0$+Yno}D(z3n}|mn*h;37Rr;3fOma6IKQ-j}-VQ
znv1pbj?_mN_HjPVEo?Uz$6lY2m{_)18Q08+Uz*WKH@sp|QpnNw0}TZozbgT@>y)4T
zXx2=+k9Up*oshVBs+)x0XHT?Ftu8Yob4H59q59||tJkb5ArvK82DRvB#34}Q=rza#
zDE4yMn*VWL@t-r_>uT3*E5&^WyV!yYQgNv99ICSh8tN>%NIEUb<*RD}&q*fG1s>x%
zP2aqzGPFF=P^e&`21iH9gfm?#YiIoCT2s0kx8|X0kTG7qbd#5tZy|o!01>oZR>t?(
ziN;5~W=P`D{~H5)G7ic_B#HeCp-{@i9kSWk;t~NK%{)v#L=?|96_|jc(G#
zb=utzY3Ap9F?~R@HZTrr)Qq20^zG8h(j+gS=KK2ibGitiR?Gp58ZR@)vVHc!0Yd^-uIx2T|du|p$;{kac3d{&q)|Rhsf1HMtC>NmpY^(R$%hO_`M^B3rdCQEu
zO(H0FFO9T{{RUv8f@Rn%wKO_3ShA)uB1N)fvQQF1lI-e
zbL*XCt%y}l`EgLxM1oF|q@;P{JB&LHE^gXHCmE%Wb(Hiy_;i
zMe8(DI!fw$kF8wH+k1H`+c<3}?GD(l&p#C>u=J4Iu620C+LTq2xMUqHV!8hCtj~02
zjkvY}SMa41mV%~g8;&C*_Zze3`I}7UT`TL{xOxT#nWG{~N=kRC=K^%}n9uPH-CSK+
zXD(EW-@RL4IHF)cLlsqQDGyE8K2NqS@%SgkFIaGel=`E&W3|e_#-67Xr~RwHjFXz}
zK64$d7ljps4Of&=2*4aZR(6YaZ9q>@R0EI=V4(z|}A77$Ji<=YPGHk0Pcee}{oW?~(|g$G}$
z)ogkN+jt8h|^3~1S-W&3vx5@4abVT<|inpliR+H`@4qsdcS!bMSv=hv0
zw$$ZVhS;L6b!CU|a%y%bq!ET-UNYW4m@wY`Z6O0B^Teu&hG5YKh$`qUJTA9fK5!1S
zZrBOq+fq|dSj@K!8^+8tCOH>QT@Sp^I8Z;rpzz6nol1;X_>JyHrQm&9QpH!f`O5=!
z_b_KTzPa={DdOYR&jv*@+Mi8!)`n
zd2zD0y7Vi{@jDdB3p<{lJ+_RXwSiRo{-IcWtWGS8aQXckGo59d2WEqey)M=s$FG%NTvO5iMA7qNzf-p-
zFHz}j;U})RkDtzdM^qJWZe;12yJKumdBig&C^(Bj+ZwaD!kzX)iRe|_;(Ce}PfmVE
zSYa*4zz+rXTnXdVN|z`T{>MCKd5^k2e`Uo2cwbcsf7cBc79h~h&326&{%t5Y7Flk1
z4Ob{dPn?_9s;~QnfeN!3e@EW;ljqDqvl;rf&ChqO->+GMv(NZHfBsy@VZ`%`<6OTiy+hc+g6DFg%5eu~2-EwUwpE!7
zPk&BM(g^2B5n6iSSmY`rDUiK2dL$8fc;h#ythKI%INZgB_qT1E8k{
zO1uYpde{J&C90AM|Em=xk|Kk_L{_<8?Cu-m&6oFmwwtk38e+R_*A0n@l0qjYTB5#o
zm|y6HN5wF5!SmxJXHns81zhybLCT64(#rd&NN#)i5za~u$JqwqwZ1$>&l9^F8?E-d
z44}r76Nyf?p-an+SwlT
zRyKW0@>)Jz^*P=5Th|r%dt27Y8zYY}^nFLn!rFxnS>`(1JbpZUbR`nqTIS#Hg3v$i
zZf;5#=*dHmo4Dz-`oaN3!;`ZxaKCfsj@o8X4;ZF*HYx^ozsYVlT@^SH`*wN0wHH4J
z&_d{DSgWZNyu{g71Nrjl$e)9=rTenyw@iJYsveNN^lfp&gk=g?iWNnRJiBH;TkoZ6
zzrP;PtHL7dD7fV#aYRTpiLBHmOt$EUY`}0Sw(PFF*nl)E^>@a~7}Uk+eyNC-8rHfD
zp0$=X{#*ZStX-&;4@e(saAZX2&Cs7UYxDAa)J>*ysw!L^8n=Y(#>mu2DmW{NrFZYs
zgt%&}wd?661jRl)(R-2^&Ftrr!b;0ae=B|FtaF*DXF)Z>T!-)CjoAa%-`q~udm|N(
zt=zB(Dkq!)X%Eo#cs-P4V2XkR)JcW1qNLSKe}~>W?^<@B_ZMN(m>ZYA1Pk8Yp4(t2
z>tHt<@-|8s8LhS>B7%sW;k!2%vY+=aq>+=6&8I$gh|;ePaQf9RxuppB@U%Mv%!{b3s=5*x
zgG=7MTB2K$n3Ho2HC|yAZ*t(xnDlu6Q{CSeT*EJ8pw5y#>ADYD=4^p5x%-3~Ui&+(
zV;%_Re$@sCqoERSk+KNC5KTFfo;e*mHIUmy+RSP1KOfJQROr1}SF%LT3s3)V;a1D;
zE3%Tv^ThQsPStrhwmg_a{Icgqa|}l(Pzu;hR@w|Eg0V9CzBCg_6l3E4H3wA{T5WO+
zPpslkpMC{&j^2_rj)>iRyKp8hKCVaJ^+=L}KQQJH_z3c9z|b%z;QWvAS!BH?N9gSc0@L;vY2{Y1@NX_tC9OBz8svK%_XIc-S^q7^eL`gyM~kj
zJKL>8edz!H`7_F)Q4XTMcs72MrL
zF7{+ENkMEE(lJ75?j(^jUiFMJmG^PDlbFkG-=*)d54KbgsN(0(@2~LSfs&ik62vV{
ziVLnheDvsfWX#y|r<%nVWq+({=cHx3o2U{l@mo%DBW$=bzaTW=-9!
zL|e+t(alf4MYo=hIsVI>8nYwc7(oythcsD-$2>jG`TUYx=iu`aJh3bNLn3vAAV+)I
zGLE=7;rb4H&AQF@ynmY#PR$R{YwpKo9n1JSzmM3%TsktJ|01d3s`BOfV39_IW2YbU
zn)As@+TL7LJiWBU&l&3SfB(EScqsNxNw!q-HJuPi=JA}z-)ZWR)VZzISF(Tz)&lP6
zIOu-G2?DKai;T?q{>a(a>KXUP(+8=1Pr6HQkVJ_A^nQu|Gvf7Y=D*8b$vCG&v$Op+
zRg-THaZpDg3}=Dn6UTGUcq#5``StYo|N7f_>Tq!c>`dHb+192pv;@;`K(cr=V^FgC
z8F~kR_J(5Q=g*IiF~&Ci7``1fY_;174I|Opu^0&g$LIbI04m<81|{u(xc$jvwN=EpkcE`H0!$Jg;1HUm}bw{)srl
z+-w~U^5^DE4Oz;GL?jivW#z3_6pg;!5ECeW+{JeWKzc?IdT{)tOhj3E&csvG_u8l*zTs{|NDmw4>IyzD@@P+biQ`*uZBg%
z2e7LAFJCA?bU?o^>=S!fmZr)&-smR@lNR5-QP%2D7q|*DUFf^JyUlXzAQ*f$Yk!fx
z(y(RDL8dl-s9L|ZHZ5!NAC%Z>Aqet3ERPwtvAj)I!RaG4)vvPVOZUFUotpsW9SSt{~zW%;sZfO^eig^JsB2aGzKygNx%$*_GKzhZ_Xd
zM^CoDOxE+)!F^7{V%7q50BND4-XJ}qfKWcoMP!qqdtD^-O
z(RhtB3#0)8bpQ%O54kcG@&lVqh~hqxq(&%p-B5|gAY;xm_kex
zb6!LTkq;6M5$gBrpHH_nG&Hm}c|rd7cDRP_6HoQN*y$S_ne(q*#KelOi5+$!rOs!|J{qJ=@`RlV!WX<0
zwJ;=)^<@ep${!fOYEs?tZLOCd9~dSDz+Lf?;j+jBg(;Pb@Ozq2VZt-jYxEWW?^iwB
z8(4jQ`4)O)Tg3v#q6mi7c*UuyYR3);Clc0+D;J8)#6XJJ0|DdA`c-jJ%zK~1cxL+r
zH%y*#{3iWfnugw(Bj&Q?PdN7=<*mLSoz558*~Hhv36!dP;^XhTcJNqH&F{XqNr>+PZ+iG3i}q?_hWX*^f@KncxTBi+od{FS
zp3m0a?4xLFL70NYPscS=;&tl?K|Mm9p{5!kU?6h8AW)4f?#_;8LVn)-|89Ycde(yB
zDNTQ0$4Nw1mSL-YkDw9eOJaYzgnGz)uF(%^^@c`A(NTKU4%c}o@NUuc74L)Q=%f3B
z?W>Pp@-aN^XBk1)<3-~&se)RyUWTGx;L2JszLL&lh^PDmM}B+)7OBwyY$`=9(OY`c
z5Adi1mBERHO+0G5r-b1V)QLUK9*y-Jf1N4*E4cu^<(swXR{o}8YHw(}maN|WeyEi#
zz$?VN`9Ilxmks>5#t_oc(Gtz5yc_62l-b#nWFZkJ}1CXj#!vFQvx=XmJFkNk>Mg@+?q1+%F6{4u9>#Gu6{0
zI_a&P@B_gOi=PRR&~i10w(#HJx(2RT1J}B9r++MzP0al1X{8}rjK()%dkov{Ve>hb
zE2GsfDK%;Y9gr)hPx}KDP)@RZ<$tbr^z^_hv(O(#2h`h)yp<2BYp68fHS#}sipVTb
zfdKGEpw(Nbsy)ADU9N1*s-}c*`Lxj8*|T_t{$cGDE&kFUO9V`a#Bk{+c=$;<&h7c0
z$ssx;u|TJ$BHGXlpRBtG_Ug%1)JMZ$wWZ&MR;nq=e9d2RS-xh=)Lb=HAJA0b%V!n@
zxkc!^r!B@lKGA+}qh;G(_pC)2v4y!u+6&<)6j6V}F#Mm6^jL5KtsdcKFOP%q_*8AC
zU~pMhK)uyKZskFgIxl7wKIO~hy#8f{_#1&}IcQI7GhYTrgZeVMk5a`6kKr6iD9WN;&vn?zbe;;VhZB2UUa>&
z7~8szgTr@(e!Fw5P}JJHxHV29Ir{P(Ql{>GRLR}vBmX4enW;+A)S|BrbT#L@V|h>e
z`=9h{TW0GQGq@9YMBfN3crqkC1C++4c16D|xmnJDr
z#3}9_AbWZ2{g_!FE{btphXnezP`rjFUP>cnOH+?=T?!u_VTicMmT9#lszi>@9A1Z2
zA5QPm4Bv)LCE%j1@!7FA9oUM7B5T(vAn+_R)6jX3ky`opph)hc_R73MXXj
z<9p>y5KRwi>7O)&Bw}2$2GpYD~{Hy)gxKU_nkDFAp7wqL^ncP6h%9__~HD
z=sNz(ZFp$BNYTlGWiBT#H6-7JoyX>js2PhJf%4~*W+O8FJ4OyEEED~u|I;s
zwTqLNP*v(Y>2>~bOjXPu{#&QeH@5J!D$2{Zfu=%3A%gU2mmXehbTpi5oG^uB_*vt?
zv_yp31{MrNS&nU|YN~?EBoC&$XBG6~LS`sqI7wJSmjXrV2)w#51
z)ki!p3zL}c3Rh-*m^GoAigPn_tPo!3dH?c7nTY`=?!g-O;(tT;6(SRG9@+E)unpO{
z1N1v_AP2!i)C`~@i8=jSM@ad^mH6$wEX-O%0vH}17f0X=wnWe4g$Pp-7|MWPQDx9V
z*3A43EiKR;vBpc%a}0E=)Z#+Pfjr0j3E#1TDMulKoi0&0n2HlzdeqZW++W7*jG~{{
zjG%hf?UJ9MsQj0Ul^MVzKnOISxxAjB@p)k9azbob%YGv`KuIK6;
zq#ku?HvEg}w#Zx@{nko>$BbE2Mw}oF&U1RIz_LHxmOIYdTLwmNRB}@--y>%zG$BzG
z;*fWP%-fnwNUo&;=g-dmjeVncJ%t*J;b<=4GVc#t*1sTi=|-aHf*gWu!8#@q@Kk6O
z3>U{{`P_UWk>gKiU9tDgC&YB)SryY=wh(zn426=u9xM+ZFErEa4d;UH;%NOjO0xds
zlEml;;o&cRf1|1Gdr{UEJ||5A9arw@60Y|-@S|Q_vn6}_URl^v1J1S?XV-&**^M}^
zICgTObn(teeSj8)@D2dT!iif7_q%Y2N+x;z<8J}LYsfC6CMV@ny2@m}S;CGN=TS#w
zA%1+DCoUs6tAJ7GTZf8KgRrhd^%K$I@-`$
z)6RtmZKGXz)ADXX&q_yHECroib%!0|w%za6RCWHlVW*njSX$A{A2G1*lcZ+ON-SVg
zD_%k@HgKh7RrY_OLAfRL^q0P#UZf_6I}IIELGv0R4#o9n<=$nV1F!1_r8c*f;L7alu%sYp=PCplK>L2C?8umT|1
z7VwQg;DZI^L1GbHElm58AOJg84jT$a#g}Q3|7|+_p-?
zuX*VHxU~GmV^(2NfkKXEV*BzQ!dvI&MzxO!ndkQCb}^xDv*>JV7IZki$fR1`_
zEe5@qoP@ZaqqB{N=HP$E`S3uXwB7`o1_HQx{ByKwDE(S
zT|r8%S(DLa!5~4PJg9dF_wS+0Kl43X4~g^QTezijW_xA<-&)+Ew3l)G-5lQS%dxaf
z@*lut@y?>A_!cGnpy@MLKz8#0He=Sene}VR7#>%)F|^bA2IG~}uAqu~bJL%irrri2
zOp@5Um;a?u>?o+lLh*xicoduux1WzBb%wbm|DdgyUfykm^}Nl5(V?WwedgH9o
zPAXCfqY{X382kU?cx#1%p2$|mL%E1O>4j2yB4d?eDN&E9V+DEN7gbwa=*v$=Tsit*
z(+>Ril(m0^5^j4p82O$bi~*MN9qOlfm-e`g=v5FP(>3Q33;ObOER?Ww%jW2`@u!<>
z;!$wl4Ig0$o*)f;z#XB-+ET`MW8G(Zz9}Er8C-Lhhu=o-aHlaoW(%1hjWpmR7O>{8
zJDH>Hb%4iisFxW6+X#ul0|F?qz!xKM#O_#ozeVH9pvslo-<~Kp+$=tX3J?!EM6d+3
z@L)A)y%53`OyWA!wQ^A|%-F_k1&^dsqi&*WCNn|e-g=Y+C6ppB%5~DSN(yhOuzrL>
z<$?&0ATg8tr7=vl!lo7{6>0jjDijFJSH5d%+jV!nd(^Cpx
zWX;{oq2bLfjuwks0_}MioF^CI-8WM>6?DjfvW-{22i?dm7Xd(1rmG>`KyM1(tDMwE
zIC7cx^dRX_A5hIM@-&slY!rJMbaT|BdFFB3C)v82k=5~)=9wB-LJZ>Qt7Ui5NjWQF
zR}>a*!3m+(le$tlUO(8$#xY!ygiEjC&K%wx##URr>Hd0RJxqg1-X;!nMCc`F_0t2)
zArtr8a0>c$+pk~eQRFd0m|ncMPn#Ib@>6bHrqmlT2HfmWY82}2yUVBPH@)0)@uku5
z5OiZ-v;D!@boVPmD1Ms@-Q9}TQ;iBjOJEjmB)%Ski$vuvI|WS7
zO?S!n@81tjPD=cI!laGDnjcA?fp0o12Mvp%PHNUL#)M{exuS8~LAccY3~5dbPg))a
znHoIB#z0A5CjaGUrMh*Lf90rbC$^QhA-9?vm&D$0fDngx140bMP+0|uOEGBI8*R%8
zCPg}~*t;|At8xBJU2R^xW|FCU1tV4hs-oGkzMsYVL|9WBz&j;t5xJCWb+zf~Bt$7;
z+|IgoRng%E{f21ro1e>V8DZYN0&h~;<=H6;>6Twm7Tp)Qb`xvf(_G)pv+FO9*=
zxzX4OHMuDReWwZ09ihZh+KJbt7H0D(C>5OFj1UV+G=2jp5@am|5rkNib{suFUNhgn
zEBXp~D7VrRs_!AN?N0L(fKV<^UR^eWs+W=EV6z`^*w4?#_>fB%I(s)x(U5Mr;Okc!
z;6@8(9R&s4#Ql&)KS}gU|1D361cx*RNm}pECz`bG*&FgjBeK6m&fDvLCr4_ZGE4Dm
zPT%F&`*?$hL@%=*s5O&1X|B>w;O)??lWx`};;BrH{6VXj9{ncuzn*=+>@*m8ZI@Xf
zjpH7~v#0U*;L!K1Yp6_T@2;`xEI)*En_)pyWTWpr`w65FMde0rE~)@U37QD#c+VodIGI^JF=
z`>Qd`uJG*@Tswpyn;lu7|GySs8b(K(&!h+daAz#Xp1km(q908Zca;!Kqau*(;gKK!
zDhfW8|LGF}VoLymf;qC?Pd*n|6Z4hs6au?2vdp@XJq#^HH+-PHVCr@G?fP$fqRSy&`pRf#He#xDWN_%X(0$xX_Qj}TDF&UU
z8#~_uk}cI}S3Ew&@WM6|RUEH7`>lti-}1@g@iZR@D_}(f^#t-c;NQQr89-mebF*9RpA<;bIl$5~z5JAlQH8BFkpN5P
zy%3^6`z8zhlGu7Rw8eUig(Mj?@S0y3MDw}Zui&58o-z6QzNXzISlF6cy3*kcK0Rzq
zm5aR`je;LrU%yJoBp8BKW8YmQ>l#8Qf*yGXoEH9r2hVJ6x3lKXFu{`=Wbjd0SC>M>
zZafei(HQ=h^8q38(uY)Y0~P`M-hM42Ql1oyE|CxouZeQxc`0u!vYA7
zuk^4t>gofk3RaguX`jP+gjRHAfEF_mC++n@tmy1KgY3oeQo4-azq~0}fck@-j1O$7mfH}53A<~LU_J_>|xl3+1zYVY~d8#KMgqLxSM!LhNw?YEehPBSFv;|0y9=GW
zsKGo#L`4NKyiLw@VsWi!Cwm=VC6j}pMI^m1bp=%e?eEg34re;P+U2BlxRBK6;lqbw
z{%4*Br(Q6e8JjO)qpSlxr0!}CutGregpbh%VD`bi5qMz#0-D_yn&jJm;T~)C8kFPZ
znY?m=z+Z0#4?;wuFM9#b>ftE?L7ONgd_JxoB@jtV)S?Rsra-omv`(y`&Up85nIaQ&
zGTIbXW#@VIZ;uO0(Bd^vQ9RC#fEweC8L_2R3FwjDR3+_9RFvl@;8s79WxQz-pyW*s
zxp1e$eZFYCIN5yVgPmP*uZro54k#<%;(~7GJDs(0$+fvJlQ4wh1-Rq}*XX`!zgD@;
z*bBX8Sdp>j$Qoh$@(dQUsM+aUo}rX9X^-Xa#DY|&M=Tw?8TxwsyyiOpa$@*<@`u*t
z-HKQojGjbAHiPQyeT)R4?)x=ij<-DO&H;vhxzaW}&NuL5_Z@TRsB`xsy{kA>I4CB1xr&o574GBhKGl1{xpEp;uuJAl;W_E!(=56xD~)vNrszWRVBr>iWR}_=yp0N!+^SD@*&$H~w*%nDudy+jIEqzbzEI~7!#DJ;vGpxK
zV|6f*2%t5vB&TR`eMdBUFxo)BqC7FVO{c9zeI-wR-UyDkC!9N;quO3XaFyCmcK&)BGOh3=a+m0#zc?f+!uS4@ql&vys1ZdST%_WNNxX7
z!tB(6b=$4l6oZ#EI7T-K!P6lwl_%BuMqIXg6-_Q^!GAVJxjKl)=2%1ccbh!NtYVw;R4Q+@-ow`l>(Xp|wN$?X6D*&wPzU^RYM~uV&9WCe
zgoa)#DV+lYtI=WSpcVQqI_Jw$bMMh3N((`Ko!Kd%lhYNR!mf85bqAhLo{=a+;IsF^
zdW|10W(dM+piDq106((nw3}nYf$qhQ@x^Xhvxit5P}q@MQ})#}>@^x&r+6rMulS`e
z4|R3Jsf8?2C=h9rHhzLDut0u|LLpik?R6o5j53{+ejA;nRsZ
zp-`H}#ta8^D7}wxG|qC$DscwkbXE8ij;LQ(Mi{DGaQHa7f?UXye-MPVlQwZi
zV=a!1h*hD9Uti)J<~BXB)tp;Wj$F!vF&HUDv7Eb0xS{Yr;i6REdwIxrD{;Z6j!3=?
zlJNlIq{%=hSLR(gVF^uOMHrKZg6T`k?ptgW0tp=%0s40c|T1;cn=5yuwdYG|%9%MEW$
z)dQfH_%X>;H`QD1A~xZ8@!YRayP_{73}fw{*DypGrD%%$iV7iHFGixK<`69B?Rj~r
z%dm53l@K%_T2oh`~HG$0jn@MjDd
zU%%}PkJhXll&*t+!%=&(X)7shF8#7gU;q@$yM?cAl0aQ95ZvLRlJ?pb2
z?L>!Vi9N#Qe^fVj1qJ+92uOFE-CUlZ;+hj4(liVVWQ#u^9BVwBeC7=KZyu2p?SLd-
zvrJe)wVQo9AU2j(bT=ML!?@;n5quel0I~NA;-D&gn9NGi-|T;}#E
zKAyhza5Wat!HP|cq*Z?$S!+EN&OzKVFWW<|-|*Rfn2aIES~~YMMcL56w5>4Zdn0i(
zKo*z}P3g{*4?plcG}tS>Pqq_W+JG@ENTvnYLiF8VzfA4D=zqRk!JReP4{JFt??M|}
zODqF8r(q&?Njhr8Jf_l9)I7QN4!0Sz{Cb6@Wr5VAyUkBXT9-8f{>}tR1vwe0;DE2;
zN6DiObPttouql#}PHzq@?aaeODRTT?u$Dtt(uVGFD(N(TS>f?(;lV=>hRfNBBi`g3
zo>10}Q!YjYc^>BZ@JIvus;WgTW7|K$x>HB?yfu|CJ`OLwp#AxNJ~)sAn?uqRkCoNJ
z_=ZrjzTjzZ!xqDBKB0_^-lRJU^S-$^2A*5}nttAo-#YE%zj}1)fA=$pxER-36um&-
zhzPn8<{ch29xvkc!Zkdso>|!7S0zTxL-D!!4Y3pjV`>;d%{x8SRrp?^6}&JDz<
znC~$^Y93hqxN(Q>mz*2UHR-o+KrvMO@gv53noH#O{k4%R$D-Fkv}Tqr5G2QlE;Rpl
z61;2emUHeBj_xE>^L|i^?!e_z*CDBcn~@>l%vlqs{fWoS4^dKfqW%K19f4{N^0C;?
zrq{&O$9GI^4XMkdn^lC01ty*IzFdEZN&7ez7bVGkAU10e-nAefG7*%MVqYvW?yPKe
zZEaPjg01bChsKu=%itZVkXP4^&%QbTpS$m)iEv&k1LxOW!Jm>Mgq0;9D|hE}bcWT3
z(zQU{z2IV*pcRABI{e^G3X=-k_ff-Z;cvT`=3N+nJs04*9ker%C{)BpPK9axMeKp2
z%jdC1RYAEYq9iHI{)+mTO#uzKMN>YX(z<)h3&monGj*EU8QBDGu}#5h-o+16
z6vR>wO--f9mhq!O@q6!E!|+2Y-IA0(5jQb9M3z^#)fg>c{(axGz9`ol7jz!Ta;USD
zT4#nszy}$Crj8CeYH-c<729$ndb%VJ*~O
zL?h*}dn-z_`Yc6`X*Me;aKk!#ddxdy+}3s4z989R5TyN7Jt{o_W{Hi1}!60bqIU55oZq0PHqbg#(iNICc<(V+zm8;-tVP7
z24$r`Be@E$VXaT@{K(L)@w;UpX~-YWxxi~*g^m#xrlS<2`h(4p+4vakl?oRTf?LaxF+oe
zLYfiKNY0{4r#8ROU0!&g{NIJjJwJ3p8csykQDex5*eNZZJ_UtQ;A;+~I`=#HG5F^o
zUC4?+?e1MB5+%_Qf|vf0sb%VnMA!>dPBir>Cy*DFvvIDhtbAY;pC9Xc2XHbn*zs^W
zCI%mou=&ai?Xnsg9>ZmZ)s!y8vhS!%s;*F%<%~}o=}_A-O;qIQJu%Y6{-!EDWbvKc
zD>IK|j4MReY5Gp#YkILk2AJ1w(m1$g7o+y}$f;eCD!|5kU0#imUZ
zQnf;xX>fLhN#K<_(G8tQBK-+|sye-%pmX8nt-)pu!+gd{^&!f^R*kXk_M6l1M%3I<
zek;q%fjuiNt9uLc%^@5d9I9qp`5%lLB--%aCRbM8G6eO{c(o$~qTk%l?6WklaDmp3
zUZ6Flb-@IrnZ&|o=FLkxCavMuP-hRzW^5K*#OM%l9s+a0{14NL3C0xmL&>6%weh77
zA3hXsBE1io`SFTBdpV-*ScrCp7v>_|Bgh2Za%#3!^SW_iHd8In`nY8=UpnF3jvwt+lrRwvkwg0
z2rsosH3Gz*u!kBbh?oFt9+V*F9#8l+PV=K?L`TPZlQxP>!DxJ*ua)t`nF6Dk45hZq
zC{fP0)CXh41+9v;M_590$7v|k706)ezhMNIk`OZ9beL-+S-hd4o}L=Fy3f!!XrApL59l&
zA4J%&bAkoK4*(-u!n9p-7q-L0itlIz4EL+BezGd7nCov%%|U%eqBh}Dq<%)7T{#9`
zMA_ch*f^e;MH#8RO+)HXpPiSKi+|Xjf!)Gnh4%FjHU3}j25Yn+CmR7qAL24K1H;@rd`=YV>M<4OR|3)U6z1i3tYSZ{2{@~16Zs+(+El_C
zuM)%)df9dQ<+S8n-cQXeGv$@
zyQ5|?-8ypY*a6afs)@|TEJ3rs!VNqBcr59l<%<$Ki4!@AJDn!octsRt(UXA)AVC}6
z3WGI~66mv~0V*LWDL94u(IRw^PuqH@JRuxR=zrSU!?l?q`SOmXDDI^yp^>Um&38Itp4*I#mlrdpv2I8Z#{5w>
zL4xTnwF?180K3);*0aB&vQ2JJ_?E+XQY8n*vIp8$TsV5^Un?D+#F)MdjCP(-BeQ*~
znuaF;dFK3;
z;b}eHd8*7F9M}`2@bb*|6Z9KPAFF4Br#6+{+=Ri`!;PRKAn8Xg!c9m_3<4!tQOA-Z
z9+5KhPo9C?xT~R%(t<#3^iyWG}v%oU;M?^;3(%%rU&%Wd0Xa*RZLXtwvExM6TN1vXv6L1qdjbNhtxEGt0_V!C1
z*%zOjY7LiHSC`-kwog_)GlhHYL8NmP<$tmF3OJ&#lq&J+CUCvnCqCO#?IH~}Dc!vM
zF;KG*hMSsQaC32~b=N#$<1-zt@%TpxXoG=8Wi
zNMHhBxQpC`e1P=xGI5sKP%-LF#GIX-74IP_^HT!qX3*dOz6MU|D`7F^cfn6q_u=8R
zT6+{UZ#4CHi;TJtZKvRQrHiSCg|P_oi>q9Fn)V@b?S#gHyM0y2k#o6(Ej_&;SiQ5g
zx0%zEa(N4&RAu-#~*&u+K+poLwm#XmY}+
zPcj{P8vXD|%l4=LMoCZg-4z-)`1yjgkK(tz1FZ1;pYoqZgfRwBjC>ytg?lGog^dM&
zOL9#nkr;|h&W!7RY8`v}aopuCIjmpv;zm}U@WLYVBQ}Ef%j?&|txt73Ku?68GT=B_
z`R;zl7VDrZPm-zU4KVsd7oXGMgtX^Ii?9Q`k47MfUJqEee_t>wm^%%{VSWR^#(M^}*5&P!yz&ubcz
zD@70{kbzs=K6H0vQo_)*;(530&eOYHVN$(Zs?FC5Dx6w>s~aYk2K}z@GKf=)c@|M*
z-qoqjL%lXozxg7~Qq#&sZfrrJt~DgNPj~c7hmpGy68o>pWHx_sx$a*q@Osj^18JVT
zzGB3Q1xGX}gbLf%`#Aq2ptKHOqqz}2vl&uVqU*!ZvZ5(~@dn+HK#)BDSAj1<*axw4
zif1v02?5#+eeWmtrYwGmXb1Nsd|N;t
z=P-T^z3Gx3Eq3{6RMx!Oq_|f+>&m@wB3RZ)?HwqQID@
z7?}3fCcV$H^2?X+2P%yFlo~fUWz7
zp|Q73WnID7fQZ|jds$YYx0&aad+T|}^dF2lSP50q(K8VItZJQ@lgC2~lBQrh-EydM|v0B>u!87R4Mrp7AKRG%LryU
z)wJ8W7NobDE-&qe^R~%Nq?^skOkgxkx|Ek7GP($E*%TT7<5KIi*oM=aB^qx(_i7>;
zamx8f0sjF*!m#Y#^4%K|^Eu=}EGW=Y?0bFy@-EG%r!vO6p
z%n=Pmd})Ay;ji6bV+)fus<6BkqikNi#P^>e+wITK^j{~(OYuvfD7*&-ZjTn2XLlcN7Uj;D
zStKvNL6j8KzS4f^a$Rb*NAAz$rsmz_nzv%tNuK&*@@C)?tI_nCzFOVSCs0Ufrr)K5
z5M@(su9qHTj4UOcO{Ex%)K=5)-f@vb?-0Wj^zXL_xel&x595bQ5hz=70yQiudQ>mfj=%!Wy`yFIbiDNv@MPnI*nPv#6Du
zfRA!p%NzOkMgouiEO#cdAOl>h?O`Av;&3&}x_t{g8xi8qe<2P<259-)=S}E&;sBIHR1NIOQGLH-+W^)8Ye{DD)@ptPeG7Ck1z-Lwzq+(^C2alw
zT7a_~KE8l4w)xJ!Am>KX-tD3hsM?m0N`3VC&r;(7fBHnEMMcfWN&ZEp-Bp*wL034#
z@5G<|^~(}wADV$l1_#RnClp$MLgzQlZI~XCHq}0w!xk?dM?c_PWGRilD;DvZpSi&?
zoYo2;c*~
zp?5#uAkZ?^4Wba|5`e}L|88>Y$jan*{-%ka1mn}QMB)*O&R*x?1qfy}VevO{0|VYp
zmF;^1nN4r=3@jZ2PH}}?yJo2}TJoxWEq1Dgm*#}#PGo(u0iE|NqMNn?4D0-JGx)XG
zTFrrdD7X<0wlO!899TTU^HF+|D)+U;JMu2
z_dm$qdy|>$P4*@sBr7u`8D&#sZ&{fkvXZ^ZmOV;DlD$VHtFp5G_jA7g-|OYP&N-b<
zKAz|OzQ=W4_jMN*vOBiShvjpD`xNG%A72tC?ct>(-X2-yg}Uq?6n$ai2r{t*V@SA1
zXvY{C=KH=f053Rycew@^E=*yueFrQG>(p1!0|?g;&lsnP%D5AT^ucgMFAyYuM@m3I
zVBG^^D(qmOtDBldm>#h`XHmK-=jEJFkD*u?Oh@xET6b>}wEIK>?x$B|tHvFZ($m$w
zTX3j32!aX-ISqcgkcK9&H4_=o{%T~s9qMf7T%?L}RsDd4d0ii_0Sl$85W6a!fyFd6
z!Of&)-#f0HLXr82RhuV-!b5_SdZT@ggt;ylwn|Lv)WwPe^of23&;ttFRjb8(rE*G4
zqK?ehosE5(w%_r?{q=UMIEKW
zijYhT0jGQx&kpYT1EPxD)}N(i{}KHszt@mrI>MzqxK9JnU22%(MO+_hpxZoy$O@f$
zgf5qgqa!!cS%H5E9!xUEza^9gd@ozthY0b>t9F?YH!v`$Ubiz}`g3CZ-jNdVJwc|F
z5Q#$bs|9e~3fZ1%_%BKy?##sk*~&$MhYVTcQ}g#gM}b!&`eFAA2t6iGWKUL;-Cp6N
zrlzL21O)n#S-JgwW*Zn(lk`|8n0+KsTU#p#=>&0Z2M@Jy{gUU?3t#|-*HJY#Q__t9
zMEhUM!tWAvi=qu^+2>ZZUr2#Xmt{>tZs5fe1dNI>)A`gPU18+uE4%TSL#J(7R$VjmX$8q$w=emKj>=Yp7;ky8v4!1gXJjPl>Z
z9G}Du=^s9MBMboc-xQ*B>IVmm0Q}~q;t7e~rD~w)QpkrwH-}sKo3}h;CX@IrQL0Z~
zjFQt1c&F3P&nQ+){kZf-LiZojX2mf(5;%xrV?VJ|VydLKnt0kFAkrHgcoBBo1VjD%
zFnfr$x4`U^DMsiyD@WI#^;z;kHA@a_89@^Xxt~eel73NnIRRKCVWa$E-VdSc0dM2-$T#K!hwXyTtH*vI78J}vu$mVR*vpmA+K
zqUJ|9ouoznrTibh$$?AMgK!_$RQ;~}p)`-gzm~-}!qHS-R}45o1)9fw8Z0kpg+>0(
zO1|y&lPcKz%R#6njgHuB$sEce30yF~=WjGo=Z_CdRPk0t(QNdDIm()ZfzrqW#x
z2GDUvG2*XuA6N0Tl>LPhui$Z|ZPm3faI8*276M-Ww(OQ08oNi|zJ%6fg+#*R`}W4^7xT8TpY=
zM7k%a!WPW+{7gA+l7a1KDE5!-l%fIi0`a67almAEq_6iaI|M_(rDKATf37
z6!(^Bgi>bQx$`#Od&QR;sF1(x7;aA=`UmQK(UgcfF?&8}$SP0Noz7xZjln3E|EDJv+*n?I(
zj&lPNRXXDhmDT0h5BXCE!;k6}hAYTGy)vLCFpoQeNDCzYh9xC~rb5B11&!t)~re4Drp*5m8!b$KVTSEI|&5$=>>k
z?(l+xrT6DQms768At(Cw-e#=C-kE1&Y49u6xA&2|-OInRK*@gD^+zKVcj0dR(pIfu
z%4YfA@diH8ocZ?-GPDH39rTOmwV__yq!?XGB>RmS@}hBK34?c|g{rvXZ1>2ZMWS(t
z=-lV@&|Mr+7hzG$I9G+f699F;rbS(aB*O>-)#c6yXz8I_5f853<-}x806$$SOQhLAf0#36--8ovtS<8j;_9|=I~mBjxgERni(VT>Vf_Whh&-n;t3(dYKD_#SxgXsqRs3%e==(;wLXIksJyt6ho
zbv-HKRFn8aRYnd!Yk@EYmrg43v*`Ck0^;-FS{B=|tRAn9K)l4uQ3r4M!32%jdM9}?
zkIxGQZo&(sCKpy*z1MrO!X^Yh)`r!{J&spdEf^
z8k)nL!=G?ZLXHVflnm%0K}_ce$0GFAzjt7t()GSkED?t**v%dW%NFMhIO$YUW%x6i
z_gr63M`@a46Nm%C5v>2Yf05!k=W40jL6j#2`BXv_pu<`@GPK~qyt7*Z@g3b7g#
zmgDRoZJ?m=hhE+U@*55}WCb`L{aC_@?y$a@ikp{&bKm{1__VBU%rRi;iccez-|45+
z8;4B)zCq!>GP1b+Y2Fco{_o+}&nI8?umJMX8%D6>Tg(t!or}22H)*<2saW)Vw%q@$
z?WrXo><^^Gx(-`mq$^u%#88+%bf)cy?)u@rHoz2D8WAEL0Lf|NY
z!lciVcpTAb6*OeujX=Zw@)x9F=jsdc%8nlL)Rw4zj-CXi9_374&zkfS5*8!Iz=+$5
zG4j=P8Ie%^FvZ^pH-&aciDRAZ77HE^Zf72sEq9lIhI-+kULvcVNMH)99JIn{@
zz$Q5!)_XN}*^5rlY%6j)BbCh!5x(2x_rFg?cdu-%Oc5}AT~pHfGGXOd**p>2@=BK?
zv53UlIjz3zdvtRHm%da$$^5tyuFx=9IR{MAi)WfP}k3*a$C;3_^@ZLO^T?#n+XGo@v%p*sbIodP#ecr=9+HcIu}Kc6sV
zD#ndQc(-6rX$sX+uo7q|cQ60VAGXD&3B115$jhP9x)+Rs+eNzR{#~|ZYPsj=?!VVs
zi^~QkJ%5@g!WA`z^kE#8L*{L7jX;Jr5ivj`4mDEn3RX*cNws~UTwxvxQvd4-_in1Dc4A>&5L&IBlwKvxrBA-W7;NR?=XQCjzJER?F8<`|
z{P_4pv8gLeo)NZZ#I&Zwt{i<_+3#4{C!kS&9AUi(VwDx!gYm4C^mLoQ8>6ToxTp6w
zM)HJmorGWRfzB3TXc2l;+2ZKLAGp(=i}TZcgw6ybCJ(ht2
z3Q@GCl2H59r*0V+yn>43ojw}Gee0(muvTO>JsVp`G{fCCm+ZM!kl6c!K)kV46j*6R
zPH}#LxZm|e2K3IaxjMFO7H{M}<5_hR~M4gh9Z*kYktVYN5A;(YX0NoNZac36LztCJD5XNHh&)Y^YpFxNT$>tYvrU
zpiBNQE$2#+QI!Q@?w3g9u7lSVOVt9<(!QWb>dv_b4NXi8UMq+ef!aF;sK;$B)kuwj
z=jF2sP(XswK9rw4)v$=ewK-`Sk&mb#@)3xrxa6D)RTJ2<0!bQ)$;lY}4VQ7s`TL-o
ztEPT8TA+@kJ4ODtz)LP3Z$se|@{c~L#g)*^kqzrr5feA3lbAuIQG_ARrh?;(uuyEM6
ze^rq?MfBy=(KYJdg8cVrC;Z^%hTUR>TIPvriQx3y$jt1(^Q(0pO;BoBd-wqqpxCk2
zv9!OGRp(OObUu*@&vMh9Wu4&Wb`q&W=*Qsm_iDbwgIJ6Y7p>sUzZ81(=nzx1d(j|P
zZ1v<09~FgTQIBpM3Hg_RXAy)uoT2u07)Nb^6qn}*ls%H^B&4yuAwa${p^yQNgSP_U
zU|~{ckLVL*#oxsiRe_{LxokWi6herk@co3vOo0&G%sd{9ou5s>jJ{sn0YxY^n8SA4
z*X2PM3Z7y@mj~DYk|OZ$=`q5u;?-jP2CJ#7($e&(k=fbjV7Nxu=!Sc)Ea|~``6u3j
zehfr51UueemwqcPj6S1B?HzaRuAVwznP>{7J^$PT^baV!xT)d?tOhmVy9bjzS7TKG
z3bdARM@mKxDNeKMq|S_Odfwa_;uKJNU-VwLrMykBbx=W^y*Mli1j6Qp
zn#k$Xf~jZ#)Uq9G{$?@Nj_w4De4gYNAPnVeuHg=Lt)7l*2rQ3owq_RS-_ka2FXsN(
zM#j&9_&JS;#$CVj2E@FQ&h!19|~ih
zRY$!`u6xL;78K&0M9OCYQUy;ev!EjoT3IK+F^{`jW~f*cQ>p&626}b0;<0w$fuW&Z
zfL+<@*IXri0pgkJ2TkvI5Pdoc^D8p!C1KYUMK)aKJ%W@w8sbaBkGff&zn-Aic%wvP
zI3aOwGyOia&45(^Tb%r%5sudtB~Joz31EI?xd(Ufq3^MNXNhC_&jG7H^Yh!s4UsOE
zk2U?-zFGN1UWr4y#Ci*@;tsd0x6!7a&AS!bI?UYk`VO$^3@TOX`7@~I*%ah{gCgaA
zt+nO`Qv}+@?*rOPw_54qpuk_{VIKqBURILw6M?OBS<@*@63N|fL2!IzV-7O^1E8=5
zI~kNmx)hi%wIUD`8`#(yth7|6;q2^;?6jyl!bBmXE~wYw8L6JYq`i0txgi4tji_Bf
z>8Dm85Hv79ctHa^8HS%fD3DcM5TdI&*0V~UTWP8OMu8vJ8$jP!9wL}Pp-$iJ0{1u1vrmSDcGTMY5
zM}e+ScRQ+UwAq`Xidf853y;9c=d^m?)qM9aar^uhtkSFTKXEU7^9B)wgX7HcMnS^j
zpWfWNmgeShhy^6lw8WMrvVvLvB@-o
zWg-EmGYhO>z5{jX*c}$GVncdLZ
z#rbaFH5pE*_`+;D#1DKEu!y
z(M-K;?(QB%*_H`%_Z#I?53WMknr7@Y2?2E}=Jl^({V(u*HIni3wpfkW7u`pwSnf!?
zDAa!}B6klLKDGx|V0H0T)tJuARcCZ^eiu3U`ERE-3{G9o>LS?NEMY?l(pDkkk0XC9
z{r52uEiR%)0(vU8L?H9cK0vi~Ppe;n90jp_Lj18V&%Rtj86(#L-g^u+2|9r(4!&&`
zzOeGVZSHY^5CNk3j$~J21l2v_^9lQvuo1v_&d{T;3pNr(!@`r!N5u0g;98~*lYEFf
z8n5ZQ|CGNy%T_C`mAfzBY?7FSx}xp==TVZFo}Qi}*|E3OJ!Ml=`yha6|F0KZ%%$jS
zIfxTi9IRQ6^PPiRT!?f*pgpzXzyO}lw>9{H3I@#jnI72NtGO&3glxDDZm(Rd4*Ny17;FJu#uT#IKzZdfKcR?1H(t6v>b*5c$SqW+d7TsB(>HTqXTG
z8{~TXJsMT<<(tpSB5y~0P$V05w4kSbG(yaTZr(;QUaR|Q86&JWc0fo}T1oY{!!DL&yGSy|zI!v`J
z`b_rAOXFtG>vEv)kE%*fNwI>9TwZSOgX|FYg`&L0Wd%&9VIe6XJ(rzdi*BvFdZdJ0
zWpID<>Y3o9!tYC9PJjh+8Q;T}kZK5#)vLH10ZVFyG*4jNsvnZ^pFo>^D4SO>L*99^
zT5ikf-``Et89fmQvq5yYF**qubmU{u3_sqPVpZ8z+wWKNkl>SK_*w{L$s-Tq@tKV)*N>lDl@>Zt5@UQWUyfu{XD%i~Omr
z_>~0MkouJO_Xl4ZetUndlJD)7D`aAY(l~Knj8(cqbS8w&OvBNA?B21np9i{_VNF>O
zFInBxpZc#8{70oDLGP8sPJEx^>p@8+c4i|=Q1mV$%EWncac>^*ZX?3ckion}e(L+c
zq)9vzis~nd_66)xkflH-9rF0MJFr#2i;zznXgNqaM!R^qT|bTR=?5
zK!gnf0A)WvX^>2VEETv#gmZ$cBkM@D3x$4YNJ}6HW&kE%{Br`mg6rWg69mY7b`Hd0
z(D<~3J1=;jVxg=GZz_%OQ#6$8yfzuDK(Zf|d+fDsT~c)1lzQjID~s=j9}-RpOz=|NJ=o+zgdNP)PC-Lwl2{g{N+bCxbYyM
z>ihO$3hH3#u3&faIhG`iNqp0Hwb>VR4PXxlwtEDprrzG(&+8Z(Jsa-0mw!ZO$&E$V
zUgf1F&5e~wy&|TV*+L+^x^GwYy?!RtmI+-*TJ|`v50xs(h)2o{pv?PiqNo!FQ0OeG
ze>8PhA0a>dO5iWrZNDMaCg&eGOk(Reb~Bdp?Z}K^16QgBtSk!~M8{Gn8;|A=Wdu12
z;II0uG!{}a7n<=3=lij^xVf>s;an=W#8p{0^wRiH8klB>=RS;e*8t$M5vHU8z^%W(
zI(S}3s_JDn(L%mboc)U(e^t{|!pLl*rZYYh=wL{QPULKbbjyf{rhj%U52uiu5`fd)y|3N$3h
z*c7LBW*BI-tzc!v+o~#cFm^P1CjWmTYcM-V?15Jj1`UZ7py;qx4-K5v<3V4I1=S?J
zBX!0o{Vngu&z{NpffRvZBD+OtO!QIfz8W}9+dg=(A`p0TEB7!pEv=7YZ0(h$sP?m3t*!fe2+HP9w>0N%#V4yQbtFt^9Wy6GFv=1hv?4Tpt?kPGjM>+=Su`
zPNFt&#{pt;ZJZAqD&iBIZ1(v*Y!KCzR>|Ef!{8)bF#78XtR-lUuZBt-B!(sgCbR??
zq8W@Zj}f0iiYSPvrTgiICQVAzp*n;1)LCF6PoFs(?SaQ>b&F<#c5!A6qG^0J*8Mce
zP#Sn0n?(K3bWfn4%}4_lu3gpCWWXcjkG}lJAZ0x%-Wz5Arv*^#G>`0$1o-)QH=5Jm
zyOx$C&fa&U2i*wrcW%1)ih{Y{WS~S*RDyFj&HoUFMtcXkH$R+~@ph!zM4>>gY5zW8
z@i>_fcw>{2eh@hU(zril!uX-W0bl4YhuH^7*_tfuqZEy3%xG8@hKyOE{!6wLvxH%T
zYs+9PmM}d5sSOPU47i=Hs{~0*{vH^A)^rXcvvAQm^85k&v6fdbeK3GGRZLBVw4G4)
zIH5oEKP!Tqz>AYdWlA>~h;m>fA}YXqJ}0wf(^KkDl81+9DS#%T6N6YL2zXUxb~0-O
z?!gOxHl1$FYu`={K^`|w8=fv`<@Kb2kOAAjCGc_XgGTH*B=#kwF4zsc^n>kG%Dhzl
z&RCqOhiyBPuN6ae_4UzFdav%HU50mC305bN^D%F3yQRYnemFjL#Ip*ZU+=Y*K?N1r
z6~;hGG~N(t?rD;3A=xGef<%T=iJF~7pu&t+A6_N@4fPgHYF@{P0j>Be#}8NiI*vs=
ziqQGFP-`xTuBDLyPt}yR&yHs*+`G~=8?)(Xam5xsd^$~GbRH47$IThQ5%mD4bX1=-NLZ#(r2J0zK|4STrPj
zpMQ0?Na3xKRylOAmghf>km>=f+~Ji2d3P4Dc`Hx1!&W%2sE8wPA3AIn1`PfVaGzHe
z)|CKXH>m0R=cvcjIn;tdDpT7JYdiF2eA=2cL_20?Ry2#gMp3)8eK;DT;m3+7)W}QS
zt0~f={++4$IWlOl^J4n&HJJgZk8HH=jJ|(C0l1A#dV$qM9B~1
zSe&us<7)S!P8%w_F`E*JufF>%p6L1HsAVP<>t5894yf4FVlhHfqUXMmLMv=p(9qOn
zFF!pemo4Jiv2&=%K?S!^AbTrfYBN|Ex4F74_${?9JKlSJKu)Y^{{FO|zY)3}Vq(@I
ze_OkSaiuoZjlM!GqkHSh10EHcwC^5qb0QVrU!S6*9BP_J02eRit@&K%s`6E_k^{}6
z>xrm7nuhG(Sb>?
zwj8UJtgM;sEvQz&j~O6H0^z0j@D8y;(6u*lQ|!^l99#p41+qmqB7lI!yDwh62rFWG
zF+~ljfIS)Q+Nj_Nt(?E4AH!xJOQHf>Q=W2UU-m2in&*B^c@+49l3F)52Rv_>R#aC1
z3jsw@qJ?GQGwfz3_mLCtyAg{oia|vr&zKeuvu;xz0*jWs)DP_j^un<;Xi>r}#CO%C
z5oxotTmIaV;>`kDzfuB4mnH^0pp>2;?n!u&DIUr5FvN82apBMZ!|C%pkQJRl3hfW<
zs@#%Q+jRbfMO=%zZMa4MNg{Cqg@iW$v;N0f*xc&DW(|+|(EO>o^NZo%6(3a>Xj~~lpx8=jl`1@gs
zot$WZvrHhi7aax8x*85l2-p;l=F^{+oSa-eI@#L+lZ#U;AexphB{>BWr<>_WC8({v
zuZ`hlW|?BVW(ZvYAvzN_1UG~GF!P6wM}f|x`{&zz1{cwA-d}dCOrNc5-P!I|mG=09
zmOQ_EEqs1mt=VjV?&xjrSt7v#a8jST9aieS8%G`;De&Q1yam;{Xv9ZTy7DB}TP$5u
z;`9Ld3RAE;3?~$m?CTb$D)RrjC{|}#Es)hh-Jm7OE}0(>kW=bw57W0pz$4_lij5n~zHGmV5mlO%mQsPmc)d
zSCm;wrFeMEyPLvJ|C-X#PIBfu>F;x1O~P??PO}f6nKENS#riB5S7KPMvqVJ6vWOjo
zWZ#560&34`NNf1I1tp*Sw(XgCKaKBh57VEd2maDGynoU7&E7S=DmbD!CfYbVkV*>c
zfac=IZkn4jVi7Yj?0aRt(E}U|1+7X{$rl~;p-yCU<8!7MPvsv!rNv2zJv8FZ##%p2
zc&W5tSs4J1$cTsAvdV0q`^TNZCD&@SQxy(Yz-s=BV)T!%f9zFra}xqS0W?G~n63wA
zHv8zRW1^5|pB(N(sU*D!FEEem>b>iDpK>sRM4Mpwx`0Z7xDlT{2MH?Z%i3a$3?UE|
z)lF@$p){3w%W+nXHqSD>bE^&XWVYt$rFD@Gdf&eX(-knntdVMoJ|qsecbydV#G!MH
zWQ&YxocOqVz>WdO0UcAsn@>x2Gyway6N^Ax|I^V-|jSN
zg}ldd{Ugr=f?$8J`g&DNc$F3CNx=4u&E~7y*Zlb-2{pLGWVD8(E%DP9i}e>sUqo;H
z{rXmTQi(uEdP$F>&rV&OAV%e0BtF2;F?Z|)Z^%|lwGHS+3-M}u%lXaRhBOEWF=*Qd
z!eyY5E!aCdm;u(f_h*P9H%<$h6t6ZF+2UQCCj*A;MztC&tJcGb2HB6^=lA|p$<&Gh
zg6C~=O0-s^Xk&nxxW(DJbCn^@tPD#H%8VUdy9u!i!o;UiaR$I1twq+KgBAs~Yh6F0
z$^y9;RSisH+pf_9>%sV9h(06LQIswzCx@w?Ikb}`xrb@-_G%L-)mT3SfTZ})_w0CI
z=wRw2R4J1yfH??0M4LCRO~&Zw2ca0WQ~5b#)6+3PuH@zAp_x`tL8er&x3^dF(6YA-
zj&Os0tlDph0nEX{PIB0=0fvzYw(cJ8gM9&&Ui$|0&$dNmFw!dMGW`xsf`18}B8c{c
z&QKsBKM0hvD|M+XE*=K=dFhgZd5dTWf`}TZ#jvEgbQe9&@zq!oLP1<_JD|$)LtVM&
z$9+)EOeB2j5mO!m>5)>$TG;sS0+j7_rGAZMT#)M0xsQ{j1OjLaB#B$b3s1H6Gz-{_vL^#7Oax2F!GEUTT}Xc{oDPMW5tYntL;SO
zIKj3hJ#aj{|3ZrkAMUm~M}xCDcPeb_u0)~0xSg~=fteU2`VWy|tY7s4(JEb7;>a>y
zSZ1v1d>~>tf{V1c|4IGZaj9tv<5j?=KZ1}R)`MapJr%@tTx{Fq
zDeA>9th=`0D35ytxG9b~3)*~u70gCDm6Uv1+!9|MXsF+>qqBKT_Mht$HV&zyymxl#B%g
zp%ENxB2Zx_eLIQ!lo-iN6X{Tth|~2&4_><32P}M;#L!B6ks5?TC3lB1Qo0=f_QaPH
zaOnit!SRo0`)PlaK>
zDCq$W9FDJj51=Sztq@g-=zMHQXDMC|8AzGh+&4X4&BW>LH@%`xDsXOkHy(obteRa3
z#uXfG91dR_a(DdoCk&9{Wn>efxXEXEjbwT4Xo4V|J!aOh)$@X1&SOqvk99NQAV}d!
zGbB7$NJ|^1Z);QNv5QUP=v^j;1|fk!65lj
zWET>_W^rR3;QPVstkEKn
zCa54t=&YbOt_(n11aBpqga<>J;Xu^nx3)6yPlU&b<$l2imJ2v2YmliTvNYv?H*Yps
z3AVxZ0-Cr{J9+RI!b5@n*{NY0Q4GQ8TemIb0|DY|w{r+yY(_=e9*%zmLq61TJN4Yh
zhX}#an%L4EpinTn2qc6xGcyeBLs^cM&<~T^8n4}o?hdPQovj0gjEF*_Tbk?HrWGFGV+SZm+?EyEW_NAZ8@4^Pdjwa{?8dET!0Csyj
zPeC?-dDbVc=6Bh=g$SuEUsL@NDi)+P!6QBXq0RGyvPg-}nk|kbreD24X(1S9moi@E
zjcbIPKGZ-NurA)ORznAfXG^Wn2G~O7F1_2|rTrudmU-|)Ht^vXEtpA@O8WDRftz8een24kq
zW|hG$aPmmP{xc2Yn1Je7bKi&M8NJ^ujlg7P55x|236@VcISA;*2|!{D6-!D{g2uhJ9%kjWK@TC;5zFyVeZ;;
zz7;b)ZCY4dTz9Va&ktI$r)^a_QW%Fmvu^4Q&4WnED8Sw^a~s*`jVM@-&vxp_n4fO2
zAWqoOr)^h3a2R{lG@Smxw7UKKB+tJGP&9zdDI=vovr(mSZV6Y&4I@ZA3%^S+*hMZ<
zDMr+QDFh-5zbXh#%s^h4)o*XJzL-*&WoQ10#`%%6-1zhE15Q9=s@Jr5piWVA>G9{M
zBKpz+dJN#FwHOM!LaaB-=Vd_<4^5L&J>KT;o=VwLoVy%LIbVz-ClZX*Hk1dncebBE
zk8=+Ovd5COkDJRWz1k=gIL$1~BslRC%tZ)3Hj}qK^_9vorI|V_FV>|9*Ul2RUg`=b
zoq0|pgboZb;S1uZ9w6;wVH)=Bj5w$kVVkZT-0s6D7f89IkKQ}~fcYPUHDCqH?&~~8
zl|6{{$-Y;USv;G1JiD_f)^TW#wD&KZuOvEQ2u~q1@$%g_6KlEwaH3!#Ij%~V_St#<
zBzst{PSLMf@)v2B=3!@^4KbiJtFy0
zxazrP5Q~`;G^CBE@Fa`U`}SUl>A;GWZ!-fR()p5iu@ql~zPZ8eW_*&LSModYhrXQ>
z#X~zqlP+3!QqHi^MeL5uDh`ZLn86WK6Caxb4l$C>W>VW2oyEfNGgHW=xlAeWM7OT3
zFTS6-b{He7d{rrr|8ECri=IqV~j~IRyXdf||
zz#;`9hTvDoqOTw^79=Roq1T-Co^hEw?Edkm#^Z;M|G&**vB0Cp+
zTPN29xnjBypyaa?OefTEu5kAAtE&^A
zU4jt>;%kMNIWWlhk^n$XG}8~uNZepAbGca)8JpVksLY@q_z0kAMFp5d1`i;8D+*z{
z3vVX>dm@f7s|7|?`G|O5!z@^a0HD(?abF7JS9Vfi^F^@Uw?HipeKGwRPD=Du&x9HE
z0{zFzO~ZH(GQMg8_=4HpCB1Vf0Y^6?W%$itI1<(fyd{P=&ojd?ufM2XfArr=ys}(C
zd-lVZjq57AldFC_fKXH5t;5_IS2)$SarqF9y_HRI*W|AGo0c*^XZpCU(G5+T!g2G~
z)OUBDi<@%U=lM#jYH5X0#OU^@XqdKD%*Rq29ewQ8@bMHIv!C`!-zsG_`Aam(5Ol{r<_fv%5D+Q*_SdY4{{i
zOKSDrYw=KLm3yw@uSS}TK7{3!4qK|`Ha#WSTdS)Y87T1weQaEK-yuzT)Qz_1TK2q{mNxUDGT9bw
zvmbR*o31|L=LcmYeDvf(^7^N?)O{SJ?H+B+;hAV@CB#10%Q(+i16eVaaadMMU3Hml
zn^FREilj(>FULh67X<{`q0DY!?d_XxxxR|Jt+0T(fV)hoV?Q$NtL4r(&AoNN`edlO
z+I)1cPlchIl>7IKf)x`idH;tb$Y1yDD4F@!g>sXU%6?Y6U|Z(~)ig5usIz5k;^)NL
zUvU>YU%e*ZX?d|`xx5P-I`?68m7>P@SNZJ{9>m-gg@T#IFAp2(SXNcc8qs%e2mZS=
zdDwX;h_PQ$F1H_H6_82IxE16~Jdci!PL@$sdO9rNemreVa3ntX_9v%tMDReJZ=-pi
znu*KH^@Gk4Vk^jn8QESLc+t;J1
zGr0Yzc8kvit>hC|-FYn-qpixjM`+=hpU!ZX@%5Uc;073Tb6s=y*p+#yjdj(PcU@SR
zqPxpitLtEOQ%%H-osE=PjZLnc!s%3Q$4%`Gy1?d3gMrxHcHjHbx*sX2{>k=oYoS?5uHxtZnL9Wg?5DDnZZrZXAc|6
z2+i5T%&sC9A^YF~a$J79zzJ!idzHzQbj%*BYAXlEir*
zTxEVD#Eg^ip)Mv{$FiP-k2d)q$?eqJ!P*;s@)@`3c^kjHF>Nt{Kn}U@No+VzeYJYe
zGk)pP6z`bBs|-tw-TqX5MTUv^;_&e$6>1M=ZP6b?`lrn$ZTjil-zkt|zh_nU{Qgjf
zyJBa%yf$0g?apttj1wSZ;*|DuyMclOwHPQjt5W&%qOG30qW>8>cKe2fuEw!6@vRja
zEdNM;^Q0Ex$MRu`JZfSt{*9&`mw!&ME|%)N&K7bXFOI!uHTbg_Rq{yd+U&wY@%7Rm
zhO3;>G;`!ht4k)c8^k%Iw50!iPK!o;$}|A*>h^ap_lPfDBOWN>Kt#?fZJ=^uMBV*au2(^mML~cD(^nW56!#vBNFyOJIKLZb$
zL`fr==inhfjlad~f9ZiI)MrBrXG63(giSxCdWBX~&TZ%(5r!pJI0{O`CJV-REAL$X
zN}Z{=mM#ml7adE1a+6^-e`Mh^5k#~euY00F
z#~*0O&a&!Q^3%Q_C$lx5jm=4;nc_YpHkT7t2osYt^~zdgmjyw1n;}t{QB%1
zcsYs4kShgsR#V?L!+J#!akx98{ZI95?>j2(H{RFUi2Fkdsv<1zy!J29KC>S#sE*C5W?V@+M_NwSELW#ZDZBJaqQSXg!64bpzk{
z=q;U%_IQneXwQf_bt{mc6ef*>gh%5fUup15LP^8b$tp_w#T(hQogLl3B-O@=^C}Es(&{NB7vQIM#4^OggPgpgS5oFQt5-qkR4HwfhL86_lx(V@Y}%W_
zzkXEe-8cCA2fZ$hp2$bT)9)Co37UV-|8LKjZ57YmMQ~UToIXBUm$6V9M#os38M|4Y
z?qtmKon#+3BkCmKU6F`y)UVd4+Z}MUWhP5s7k+QRSlA%0x0UE)N1I7K%>Sh)|W807M&p@>EnBlTO{$GKJ43E-J8Y~*3Q$Yr~Ilk-y
zJzV&D|7yF#FFk4EG{gmS{&nQzEtxH~NuI@uDR!n}yYh5{4DZuJJ5`DOvIjR*o}tfY
zZcC5yS0o#ZYfmhB)vv&jfS#Uz&-gRXsr?7$yEny5V_Fp2LXStiF)gL@=17#S1zORuy&7}}QLa$wTy|7W
z2Ss9cfAdJmsv)S`y{eBoKDbZR`zrWR^V*_YGy06%-Y3`9xAL0w-L*A(hD+2>KFxub
zt`bgDA-`F$kE0{ro2d`mqj9hYd3H9et@!m{5W)VpsPbku6AR-u|MHhR`(Lj$635dL
zJlU^!$-d)~rd#@QZ=d1OA@eg*=42KBXEG7acOj2z`}mvX*;_#g?5id9`$*~*ZacPI
zu+!Em-VT`{$82b^17XsdI?iXG?hQFEbG4&HfY=eN>j8LvLsC
z`v0^58o?7T*RG)81ws+?rJXV8snB6uw4~e&7Ym!yA`KR~8*T%(61LpLHCLLrcNaca
zTo+%z*Shhf7PkF2!GwU#1dvY}9UynEU
zZhyMxBhkNPFY+(7cQ?{Pqcg&eS?cXfy`N=mSionOxT6@=KVWv&XMn!NK?zS(Z*=)cMcQFjkJtV5
z1KX$Wx(t~-{*}CHVzi{l@`jyBskc_s`1LD6)~IfGE9toh#rV9T_ew|}6%p+m&xz6e
zR$4XQFx=9q3r=j<+I5m9y0GC7oz+3Rz_q<1D+70}TeD_8Gq63QN3|uU#;5cr#tHwCQxIQ3u~3R*mi5S+yA)h
z{P4qujEo=aOd2jrdip>O4PI_So}=H1DiP9H{4t?@Xrj!$(d)VFpsaZGiAPGaG`jOm
zK4&*-A?N0DtS2TsT2Lp^n7?^hlW>}St`Ko@xi{XR?FxpE69
zQ?(icinB3=!^85PgYyj?_eQm3Cb?~jbVJ$Q1^HTpR_#k(FLoNzF0{;J3oQJjtF>Rg
zuy1mioEUrloc_GCQmVU4j>#g&g|W07CDVQN!xz!LZU?3hX-Q%PVXckdsU;0YvtWbK
z<{oqHo-fJJJBWZLwmvb*yxoiT+>;wYsVYQO1nN(voSo%wJ;BU<{7#${>eC`PEp~gU
zqZ`rw3vkkwqKLP8=~Qxh6-Hvaokh1&j9Lv#m+p<-^sgPRe@6B4<_Mw2e}&)RdKaZH
zZj;7xz^GT&!*ADqWpOx269wGJ4bGoviL$MDR&6y@Etp#&PSx#HM7QITqNhJ6QtHy*
z>8;vpOwFhZpGqx|B)3w6&zsSzUSMRbF?ept2_9HwTK}ddQsr0a9Z3vA!+`Tt=W=D!
z-*D&n!5}84Pb3?o&k#d;hp_r^4)N)gj-mnjL%c;}tah=N9Y3--oQ*_%eW~ua$yXlf
z{r@vqn};sIaxDtY)kiX9f%gYJt)E3s_Z)`Qi|@A_3mRK;<6gwT8HW~WCiX_7%J%yx
z#{APmh!bu%dz32iX3#iS0t!Q}iRebc(;cr(F)~XKpiWU>tp
zp=i^55K#KmufH;DuJhp+_i>Ea7G>*&yq5eIXkTiI3!UD?!HrI`5hC07lBLXs&j3KL
z376Vw+~*a7eHjf!q1TyI|3Y)>xAs)D9Ah0O#TX7>Z9HL&yuG+LHzg;dV^nSOJ&_;^
zPKb)_myWN=10?^eHGW{j3%r5JFlZ$@{Vd?GhKggH`o>;n3!{{My)S~
z9fv*ru&c3p;`M}cN!|2&waFvK=XA+EIrhZ4VNkjl^_#B53)e_XZG{B_}S>jFoCbB_5Jg7I7@1ldp%z!
z;vPyLI~RQ8+Ce|)bkBX9w*Tto>dS0$XrlhGP(r{DBpG~yDb}rI*%3N}k!SOxHLD(D
zyqd&ey2kx+!7TE>5u6em;?WR1p>NT=65lKFhK#EO3oiyO$8L%GhDy=!lM`$=REi@O
z)OBaqcPu{gNL@^ry%BQuVlnE~tclodPt4c(-#)NgFi;hieaDhMHt#JB*A8u__^Z7J
zFYuKW%`m>V5w<85L0nICA~wfnr5vUOR=_kz%DJL=-EG%S?c
z@t)D|MG`&6j5ptEN_{T_ig$fBaxxq1QtnAR>su`QmPp_5uo8k#BDdIbcKHez^S6)MWWv
zmwvvPPPLo8zISx;?iKT*XzEY*$4CxvHI7wn%l>^xxObhKX27o|qbk2V6KX}*Hi41a
zwlp|Jz1ILNv#Z$ltuHMoq^o>YcMB7fxst+a`hct=^1*(eieK8Pe`TAm;}nr$jF?u>
zS;pWezCg}s2CR_zl`~03*)3NOc*nA-GG|NGU*2a(GwcLVq5i8{n~dLvrYACK4ANb+
zN8a{p@HGcUT~7
z(BTg(MeQ0$g&)>Qmzx20&yz)S*bF3n&+}|%jA1SNl{xibM70#|Gbn}O??{8w(zeOZ%pz|
z#FnA=FCQwrEz00==Y4v2=DjmEaRZO>fT8uIcwYe-APdzNrJdfJwQICkcOrSAWu6f^
zvK#7gSG=+J9^flugD&I0XRwp_x|HoukJSKvaKTX6e>b7%JInX?^5HLW@11+%
zy3RS*nHfFmv$>1?!88Wv$9F(?i7Ig#&Ik|JkA9Rbt-P8C*3GzLAWDx3)17J3?|Meg*R>e8$S(?>JQaKvnbny;_vfI-2%nnG$bIRDSgvLCBC_R9B`N`^8
z#@4K|qGIc!#}%?gWfen*K_J5<9&T@Nrh-PfkDDiVqo=2Y@38H|ZMYsMe3l6+$z>Jy3HMx;jG^afmd*(WIm
zg1Pt!(1iSUHJ*PgrtYHwtYAh;6w6qytR2?O3|nPuOrCj4OC`|WJ?oO%SU$l;VkS%}
zs;k{ws{!=scNA@poT$@<FyBKmLq4Y(*j^mC#;=H&n;ZkYUu}*uu#PWP&0Cp*}%8@JBQ1
z`dQi2!q*
zmy=^k4M_Me+Q@v!A>j@Nu`l1uh=Fo-i=v+4?y0#0;axHa2r4EW@B
zAW95kntpRb!^_UcS8jB|JgOzD)7FF+%FO-&u&Y&KkV!;{yK}v+5lT(X0u8q|C@Vq7
z=+hjG*}IE5(#})Cs7tME!TWHAL&qkuF(FwN;%(tBlhCK?_vIja9SMdW)#3ZF@RE1_
z>WX5u7h=ep0Tk*CRbS{|NVrz^Nj(tr&8!??cWV>+>Bqd|!zCklPAAJ}?%FfMLklni
z&hNoZFTxidy<-Heylv#Pw=b4;?uzLLbhbcWfohNpByE3l+>xYAnCmF$ubxm$`#I?l^HwJyZ(8tgD9CN3
zNKNu=ubxQG+zMn>vlvhDQ=PuyT=f~P1_QZl&MP;)7onzL#sISYyQ#-PMvD3GmWG-{
zUwuGi*GM{spkkJd$WiOJGt~vSyzPyn@(c{+@O+jM)I_BMTf*f94gmcjF6RxJLdQR}
zdmc|0=?m(1e*wTZVG775M$^ZK+6*ZzT+;t~01iG!x%e>y$VGsvpFs;M#2XCHnu@Y_
zUen>Gq1xlWv$qSr%;fuqlm@j@FnwB31qelz8Xa+-O9v4n*>(I&E?KB!RZ1=;CL}4h
z+GSdm<_0DI5v7k0x|Ea|1I~K&oXnzH6nt~Z{0Ne<1wPJE$tGjS#jqD}Ij>fHr(82q
zzvV$h_W;h6JbR30vD)AE%+|oq@GrkFy2RI+Gp4NO4bipa#s>n74pbVI-q@kMD7!PR
z^5`gluU8oejTiFNdJ2FB5F8feFi#ct;#ic&X`&%I-UcZ75w-)Fb4(~-xzjJMQRPulX_cjkB
z|HR2>rZm!gkkAz$4#_~tZ#OA@^XscJn+VYF{u60D@GYrmRgyT*0lAI^@Oru?H`Lvs&C5(&q+Rrx+;XB4lHk8H@)SdP
z1?!JWVvWn0T)fjf+X^`-F;FYk`kM9zCN7qdg+HDW
zyXr6VDU?~{{p4Vfw8pE+=MSnSRxH0|-S#*kNTdQFGkCzqNY7D`%2F$KKYjVKboCMt}B$YtpuzO>jbX~<|
z$S&k1iY)WuEmzOZwPEV}2!Y0XNJMhEj@~Il7l;=uGRO@1F2N6L_YcX#xHG5RUZ{aw
zwzm^u-eag&pPFIJrs6ZN_r#5RI{xrFOejvy7@AycOe8k^j$gHv3ghaB6A8Hc
z4ggAn7Eg=%8TZhsaM+~Nq@-GiOZfWawXWJP(clCi
z;&sXdxz0OW;)2kHav~J=w&qNtU&i)^5J}bR;h6<;e0%YTqh9`>B!&v}(uv(|`K&I9;!P2?B|YW@aD6Krr5yqx}CPh%pKosPY;wbVyS1eCJz2f3Tq%
z9BO_93oZ$z)>`uXhc3o!XM9fVwLn3}(mmE{Nt9bn#ri}NiC_apvNgzq$EV<6Ow}uX
z0Qi#bEk5xZmr(<~yuXnf)FJ@k#VG6(tcfyk%`#PD$RDC5b?1mi2fQppksqm{p|`qG
zl>86NMt7U5BUqp|B*flV!h-WRJCIoY`m|iTV3+M5e{o
zR<{9c7wx@<4N7vgl%7c_jn-CU(tStgaXnbd+iKfUWX$cIZ3i{;qtu=a&
z<<74mvRuiiK;rJ|HR+>V$jGEy1~+_FwGWH)yj^e=`}55}$K#G$D9#$CHp
z;mt#me&K4epNTI2L!57H?Mpwu+5AMi2>IoDzg|GJ%h`Y(b8F+3y?wrLbuXl%
zh#oLod>NH2eHCRz4N^(6bX5|OyuY{(1T{G)+$KjjeYV3d8GM$plNDMA%=b>?lEDv$}psY`Ig!&kpZuz4c{N9GzPbr4g
z4d@?z2Cs<=C&HcE4IraBK}6qO&G!_{#*02Y1@cK|akYKB>`GIfzh!$2m&|ArAe1aT
zjx`?wb(aPi7a7o?g78;v#iBsU{qnVqv2w^rRd~!!M}8NDAb4NdP^4Z5Tyu`c_U69j
z;5r6qHLJ!#D&MW&j&#HURkr*!gWwZKw%`-trMCNT?KfkWoub;#)Zgq49iIUGVQ+8U
z3*DSva%qY6lNO_lAzw?7OLn3vyY}Kz#&H5DEs}ItN7z!&&_b;QunVdwE%(J+yYv2!
z#``|JEGP*GP@Mwme0)lGQImiHaLqx6^;9Sb$ao6|F)B+CV#Y|_5@#(DigWtTfEGg#
zS+mYQB%|9G%226q%#oVfk;so2k{VzD?VCk^Dy6KPAw|CT-_;=YR=IKOc&qL$xW-H
zDfU!fsbev387}g9fB&x=Pk3S&fOnVx%o`-bNS(T)#2>p?r_C3>_(&sM7{40?0p^cj
z=2K?rNfy-~+wHye)fuoGj7h9gAQ4BC-r9N;41}Xrn_EEEW9b&!zV3^KqLyx@X)S4b
z;YvaGjXypF%k~#P#!6-7UnGR35+V~48VVUFU!qH4#V*}V(I>p5in{`46gatFFPpt>-J;sBl-1)^jEYg)O5Y|^W!+XdsTe??-gIk#7HxPr>*~zV2Fz6uOjRAd
zY>$nGobPR#87e{az64hrf8)XmKo9h3A$&%d@-5%-&v}o!#h-D%;=28*AH3~w6*%&~;fGsjqIP8&D
zSMU4hy0xzDcz%AM@J+Y-4uFh4>`mDQyofq|ITexl`+djt`bYTCuTLaoOn8KQYN#nd
z$Yoh0|8YK$0Yuz*4FzZ*icgUw3;P?Ae47ohykcyN4)(+6bhYt;whz)I{KgDj+
z5tqC`RZG=cw-a=S-@I?oTWN3ST`*AiCz?rg8iUh6TEiuxacPJhn?^!eI}yj8m>sJ1r~btYU~vzGvf
z-g8$LUw)E2{$+0xYAxwT7s~q(iP}dHf#?ZmIRzwfM9Ki#hZ3;?27rt{81kl@yLbKq
zG3VOVC+CzqI6WeHQXZ72mixT&Gw~u~NI;JDi5Z~U9Y0D39B06N*R%p~51BBC*T9Nk
zo9f0a?n-x#{+~<)AQhBRfhFF
z&p*)@v>FrfJJSNKKP`T?Je3kO4tPmsHG(=W-kM0%h5r5VhQaTP4DwP79iT&XPPQv&
z=)1rg;#I=kqS7k*$HuSY
zNMT;GxT8niqk1^a%3-3wCbKYeb1eMmk@1v3oo7?z#rQ|wf|@D-r%bEhC&wZ0
zMg^ky6>r0`M(Wlm8#!)wClMUL6xmfQD&cJy-48-!h}3A|XPV<;a#mR&D2`itbnJ%0KeS
z!BsI7IuYg)jqe=I#K8e-Nt<^EVy&Bfe>O*r#SXx|Fp0gB=K%%k{{ga*5rhZw%Pmyh
zY@Bvzse9}86nUav)U@TpA%pA=eQq);_wV`641Cz|%V*+sj)0PD$QwQs@b8pYJ{^4f
z!g-9*eaIN05Rm*la3D++mrn?x!8H4aN$x9w)Mkvz3=)@vR5SoYb6;1MGDQM^{x@n4
z;EL@N%#_r~EL-9e?5qA!WU%Tq@o53u4GC&UT4J*wZE^>ct9QhT#k)ykCoPtcvAUk0
z`%)~{l<#wR>foKM)dRyYLDPXh-XN3mq^0|fRNz7e#OPx8ZBf{$f-0Sq3Jg3FFzUQ3
z@%iKkpiCM(Y4Z`L-)KD7M%2X;{wt^=2MB}SzVb_qtpME)Z;9MN>Xz*sf!acU@cF7n
z#NPYhZv&4bP1JMAN6&qYrY+`ve3|lT?O%RCBe-DcGphUf!_)h9dm8IeG|gVi
zB~Wh2oxsM62?CA?5JiC}Q%aIpw7?!w_MohC?&y5sRV|pPblOIVh9%qt)
zfMMrtc_E#_B1n%lxVJf$&FZf)ccW&i38KQyUZP9a%=O(N69!^>{bRdhd4GRlDL!)>
zAuZXfL4{Exo{RzoKspZ`348XnZoj5cZVb2eQV}UuW$gr&?Z2X0(l3^71$i060}A8801lS
zwtvhzC_v)}OF0UtD2Du;AmKqn620Lyw{-;0IM}CgF8cnu0uAvYfLNjOSH9mv;G?EW
zt#!Iu0z{{8Sa??xyuKU=qzAZ!PUGQ%0{J2z3zN6m0Czi{13D50-p3NcC%~?u85@6%
zfY$AF4?*778aRf7o0hx-B~AkC>9Q2Blo)ion_si-lY`e|4^Dm)BfoDq8AFLVz+>1S
zfK8WhQWhCy;z*{XMnatKug`JkTOA8LnFjevkC9hCz8rweNSgVud!BJ8^aE$XDz_BO
zf{l7x?9U-<99_Z;`Bl~aP0U&PBd|`J#TdyAN>n+)pG)sTE{zy2aN4Aa1`ulQLXg-#L}$YG
zbBbO<_Sn~?nw9Y~LZIcfE6b_SyTlSkN&%^5gi8WQgm_V%|31n+1pDQOU{7?4b@k1T
z3=|uSXea=Vdiy=4yoA{Z4|S2AU|ke8=D7|y@6zgFhh~bS#H!E1WP1kAf$`$f`KcS4
z6clc#5oRq(m2~A6@UwgUk^^|uUkO#W2cr-5r6(?KbN@CdaV}eUW7ZD}|Debs#kuNl
z4j=3+N|7gNOHR-Rg{}9MyGd&6n`IMlmBvzqb;nC7&){S4~j2Drif;4!EbX$els_BzSej;stYDd|W
z@<>J?JJwyI-I{?~2Kna~7!UO$4MfEHPi^=Pc+k>ncYtLzmKPTk#t3CQHisPQF*3_T
zf{grP$_ptcuw^qnaMYk+D2{(wU|G8QEJ09U@Iy^BKzJ=BxBUkDJYsmVV18e$yavHL
zrp&}A)dH~!%*m7Py*p`XQF$!;l6O>xlcVtG@;}nsSl0lVl2Xx6O?!tI-Q6}$xp=Ak
z1Qp>Q0FtoDKdFt?lie3h)d6}N1~aoULw^qs3#Y>mw10H>abeT-2;}uasy#kg1b*Us
zG4$ZBHF0=|z5;4N^-Tpg!n^6zb(>;+%7#PA?a^(lEqLkyZKnN!7k-04=?6TM|FFT=
z!A6o`I^F?Drksba)Gfcb@}j?7D_*V>gtC9QP+0~Tv8hVrGyp(IF>lX)h#B%-|IO{U
zL-_M|V|C>^$MF7?jWtj>&Og|geKm9!`;wip(ktf%mEjNLX^uGg<)e*N0RYrnoq&Nk
zG6+Qt_Uvye^<|#Ka#WCvBLJk^1sVeld8#5*sffV(ne@TKCPr|~=xP79@|?TdPsiQ0
zF>$458k2BrtsEAb4lJZV>!rsfIiLB?)OwZ!Lx+z8Yf1NXjAm9|?@~^z3aILax7*U(
zsl^;XS`OrHP`_?>5?D;yAz^@
z;n2{L^)E#ub9vn2#6Yw{WXnKlVAb*A2zQi3-Eo3GGZX>7sT#lfEJH!~j*80}fMpcp
zXkI<{qMz1y5eU5o=ixP~vK*2C(#)}31=wHl`^vOE#w2cAd!8k$%Tq3dK?7DtFQoyK
zW@Kgc;O-I68;qzH1ob^2r_bDkJAdfx1Pf4ZBw@5+-s9t3To0(p0wz+dDb&Z`XQwz&
z`G|OC8&4i~DY^=+aQV~Mkvp`ow2;QJp@pvlKe8WBB)ayZKF+xyRPlTC?
zVsB^`sHYJ{%W8gRpu&{0LXG!`=`{7cB#Z;EPvCox7DhlqY3EZ3I@uZ^R|Cs|scU-|
zU}#*9{5c)Lwd@f9Spi=Y$VJ{C{fBG8Zh?2%68l)pn8v)5G1`Yq%yp74@XJ>0JYZyx
zDOXICho7rcAB_U88>rWBtDe_gVYxbSPO|oXHoa!L(uSMUlAH6{IL{SY4SPYt1JCAt
zm_x~BB}wK|bAWmxO}6?Evl6?GvK7%h1+4h#H%?%L0|8|Q^(WG#5c1gpG>8S)P{`er
zDfTie7o%9L@4Tn4hrSwc@zM_$>t7Xq@6l601?!wJ@gjm+yN2&rf_)v4K*?PMGHfsz
zQ>WkOQ2%?rzU#lrwL{ITZ_b|{N79*NfdW3<=`M<&gvd0M`s0n`PE0T)S2VjT8-KfVSLXR0e
zLx`;O{D8$sLaR->!INnVBLZOJVI|<0OjZm$PLQfl&+ElQHIeM+DFYp~Y(ov2i5D7|
z%?K1!ddyCcuRbUiZe}0sAG9xsC;N-?9eiSoq=V}$=N$;S3_V9Yd}wJDtzBPZI%jV93o`2UDwubxeJBbx&`wsW$acqxBqt`o
z$mmQA?2(>W^tpXMJr&T3%
zM#+}I_}U40QDt!-R|{?Ke7-12G|t(0voB0QK3y}vMBHz%(-Jo@e
zOvJELQ-7#vnLs9sG>0Dx8$UA)%HP@AH2ls=u)I504$HDU?n><<_2F+G+cRv5P}5bI
zV)2vNlwdZQXh4P0Kpd1}V|;acc9l69gpn!5LHTNPRbRi$=Wl
zob}2NPfu}peqb}}Lthq6Q&2Z)Yw}Z^Sc-WZCk-W3RpbKOiivVSeL(FbY~=)7zwl5K
zm01I=h5h$yL?*nCPaKeyUvD|7h`70aik$HleCJb|!S~kMt|X~#BW!q{f8YPvETl2!
z8$Lk*`X6+u7qIH6qx!PiFQI#4eWiO!->oa_^0pQn&1rDVJDg`DiGDei7kWtr&*64)
z@wT_i1#PLSh#Zd_5d)d&_me>q5g?+0lu)QCl#1i;E=0cQ1I0xwU#xbc2Te7==Sj+D
z$S5zZ0W`NcwI<}_T%mb$o5L=kA>1@)2@uCA~Ic5rTo&uu=`fx8pVXWwF0u4x#mJ20X(oJ2cfpqQu8%%%h#g1
zdgI`!U{_a|6*brq5_4#CbK{G5Df-QToAZ3l+hpKCI^jIY1OJua*cmzSMS-p?FDxxx
zG5|uvvahMP&}7P`%jK}&<9GE6*1X1`@B%M?_sb$Ix+poDze$epEb%r2cVWWy
z#bw_P@0&2*4#1_&!XkFxPxVyV81QprGTeLNba@)KA7mehftt%J>%J!sgD3v)VepLj
zfUI|E!|44!vsu}_^~17o;`avn#RbmwOILggHutOK1r7R_i^zGZz5baHz0K>f)@=Rb
z8%4TDk_!RvV8gbw)-zig!*>?c7+}}H9>0OQ$YKiP=g%}(;KcksiKT`Uu%odq3u^Gk
z&j*~!6de935JP_CaTd_)!GHk(%`uHP$Vv>HDyFu1=5Ik%H=e)-yEQDD%le$z>_dL8
z=gb9blPz`6F7Al^Z`S!gG(7&D0rydo?KW#|lkHwdy%VP6V{qy_UIdt+m+Qd16EM?u
zi~p93Ls`|`X9huJ`Z|FnRnixgfuI$0mtKV%Vj;W>`IWCBm}yB<>uG>1ewn-xWkPPH
zWpA7PF?qa>kc(IRzt<wD1XFK
zip{cIGh$r~3Btr2m!0^I*Q=xwWW=swNW&f~>|4do4HX97RmtHTaNnNl(py*G`zBih
z#&9*V^x8SCR~>puke;A|Lbep{Fn^3gXSR*YqN3o8#jHP~%XRqFiW&pRu8B}q?k#d(
zUjk4W84$osWS9oAxcN=BwZ*Qln!K!O%Kv6L0Rm}8Qz4w*PoqDhD-tw*?dzegjkdNb
zFSKX`ajSM~=jqm!pyXUL!lx0`|A`0fEPgp>Xj^PVPXufw!;4xP6Pj8Lc#N8_d~x(*
za4UzatyM@A*h5y#UND=E|E~fT3*`_~8)p43g8#}2Nel@?KEK7%!*2*|ud)1t-i76N
z{hGE+0SF_1v0|lM@-3&UN9uhYTL^&z)AW54A(;AhsB(f3O-qXH1as(Kc*}dC1NILH(44GJ%V9k?
zy*;3`|5@G#{L#P{Io}Xzz8$jsVUh6VBX7h)b{_OnUX27)B7w735D$g{
zc6BAH@U#z&Qk;o=_ny-N)s)DO|3#WB4)C$mZeMLZH%`jqK~96}4;OELO8%eol`8>2
z9up?u4+3cCi}BOb_-NoLOR@q}65R^(M}4Qp0YT$;r`E4R>Y%=ARjmU7RGrl=TjPrO
zw8e&?SDgBJO$GR81vL@@vWxteS^J|pSODJxp|AKo7N}b;M+Zy}xqGkCWa49r=|Ke$
z0^>6wXR6Gk(9+J7nH>91RWz};Lkgz12&XbA{W9&bfyxBj$MrKo(2s}wwc$|+Djbxt
z3vfZC*($rX#w{wyRdhwQ*j%0zdCWgmzNJ)I@BdSxA<(p|AH;|op
zd*asl>!R)JBRt*L>a?H;S8r0*9~J@lFCTssG0_eWQ1E$af$RRnh`4fy2JoK&zO~IF
zEE4(}XW&R$Z)Tx5!*PO!Wz`Z=<}KU$?$pHFw7fkzIZGS(nnvjd;$dxySV;SA4|fLyT0=f7d1F;M-HOlWVB`fCcdU{ZKY4Qo(M
zH65=y6gkHv)4CKmKbCs_tm~mE`sB^#UQkRo>SiBt~@y`~03>;y^IuJlp78}g(%TBK(<1CRKO5nI--0#<
zk`q4V0-K=0S
zcF%emu|Aor|M7Ts}@!$^L@@M?*sq2)f%X-J4#(r1YaBdEt&3qBjs3*h?
zi0ObsJwpUP$;IlIq8Fb~FUzPfVsDarUOeS4wVKf@edYpQ_lFs4)*7i8S82aU=xpva)+4QQnJRowr^?pHBl
zdL`<^-MDlai@kNfcEp+Uyw%cH-)F@ASF
zU3lIuNjh#dPPL%a+Dn3n100yZ?gECaWh;K$B79~L`V2X^Zl=9=0VS3wQB+z3_M~k5^KU8B`sVu;M@R&Cz2{I$Fd)w
zs2rnUD&W5J^$}PZdHn~0IgL20#&{h$-AoBtH4FfSi>SA4kR6a_}bXp#5hzC0c
zK@q^LC%@XavDdR@O$(fZ(CZ@16~dyaf;gHNl$E%iQ(G(&76|V1%wqJh;QUacc~H>a-1*H@PJ~yTCVyx)MXBA
z=FOH_eU?Y5G|3JJo@B74)?${R4~bL@o3wuG1TTRerBLDqDDvGt@HEnug|
z$4*dsddlNp549)xAIS3yN+XZ;%BT@vWj~XUL$Is#>t8{)WJ1zLPwn%Nii(+vWy(WH
z9>lQO=>0m!MaCDg)6>?s>>dh=!4)VBIjSl&Chwkn--FHnLv+Iz?tlQ&|B&Fl;
zLuOqe9FuMs%9V`*Pg_zVjbb)i*ZjI<%yWww9EmF!hmoJNfFFr#s$-Ho3!nEqY)S7&
z6Z+{e6`r*hc~~m+j@@|aSxr>@CSU3>t}muNn3rZLP8MmiPOHmnDX@8}C09F!-r9X#
z_y%U-9d!G`?bbi)T8&sq{kefRyy#voC`>qpbxk{kFerFhh=`b&czn6OIBXlOu{m2<
zq9!Qesa9VMdvROG`yu%ftlEj>uVt8zn5kFV8y3l?3DB3$|LLVn_}^rS;3#_0eB3*=
zc=B4&dxG`IS8k-lC7hmP0mV`5TbbcHY@O@`N83(G6Qj+hin-q`7;
z3~GwxpA%^Q@&+ip)7F|`#zHYMd65(ge!Rnw`NpxI(rCH86Pao1oCw^Jj`)@7oVZWW0+ox#mcIJ;p~3
z7VXjq##>AouM1C04Odf%fZ98X*>$A0+?zHs!&@Ln9kdk*;i0MfW#&IJD}6nglQx~O
z!;$c=mVE7)kmlaxWFwknhblWqnrFcfgWoGgH_!<)d<)YRb7uLWEKMbWT)N>xufcHK
zIez5%NRIdXzIN>0WT(eIwmeVO5+}UHO2Dd{sceF6
zt?0h5CFOSF11rhi>%J1~@1+U+YNU*GNpyjwao~Hm2jBFmdJW)XSmR+>Z+z3`ASmBN
z5nvBvnq>2-PK+k!wpA@tqO*Z`v#=CiPX;sE_
z=JHs-5Vk(Z&ijWclTU#RP4U0HO8SRCg9US1(+
zC4BcKMM_F!id}82MvEkP0#Aun4GmH#LoIGEKV3L%_^aQ;3YI}Mke(SL>@HdKhBGb3
z66upAH7PM6tCrZV>8F4Z;js4q9Q>B#OT1Dpqqn^{^zr{X@uEY7_ZIX#9-A1Cf*FE@
zH!&F45j*!EPOIsF?;yn9AMxbf7kIvLvB^KjvIN`eGi%L*9R(sjSFEB!iXJU;N#KMt
zA@TFn1_a3@edQ(Wk_!4*=KTAYgF;*9s)qcK!X5J8D-D!{T!K2aA>6Ak>WePQbtXMB!}JE2558Zs6Bx6GLjC2__lQavF-8MU~@Pv4{M
z2|Z@jlItiFiR`4Uss2q6(E2bi7m3Jx#N*O$bNWEr8J9HRr9vt?NxydlCeQ>QkDlH~
z#U~r|;3X6ZN&MzLzxjFK-qK|TzLGtM5bNiTUd1jV_=GISujYNho5UeR*`K!1j5eMB
zqvb1oM32j50L$VzO6SnwUTHMK9(3NtJ!v!5rUoA%bK$}MPx7qPR@pewUzMSGg+{5
zugkYmwtGyS%2*B|(@OqAG_4H64}Z)u|7k}NSvFU7iqG8i>)Lof)9}EzmP?p^#q{c7
z=I#`%yQf5Hx~67hca;~ZjGSIJPqlbvWm$CA%NRgK;SDn-U9{c0bsT`RSSSzroCKuz6IkmKGHm{WupSKWZ
z?p#sha%IPFY0Y|dbdOm>+(tS|vouPZyUrDTD*cfiMt6fQPty2*Pbht7)g2+gUMD6*
ztfYPVhwr_3_}*vQQ{0ptoDLH2E23l9?EF@=6VMybp7o*Lg*g|r>biUvih9LXsy+xE
zyR_gn9W?4mWT+*zMLBdPWcoQCzX{{e#s70{qE31h^98y$_@?B#Pb+2S-K+e6pGnb?
z6`oNm@KDIHKCBBe#JafX+iG}5g1&7`F-MHv?}6eZG-Mgnz0l%0G+=V-vX6mEr-}0EwTjsC@f^fHg=~>TM{OIC`M+w6rN;5jKx%mq#Cb-O>
zf>$6k!+4pKj1<5Wmuxb{KhxPvtN(J+3pL@xTFT?Uh-MJZ0;^W449R=4DkCw=S(J#jvihr;!;}L7q?h-KroZsX$XY7=cqEoT)(_{)z
z=+Sh%QhL^>I2aKZi`ikhCaIs9%doYS0cIsmgEc;4t+YCJV5`rZjC^2HmOst!lrVjo
zHsPlj!}0o;8<(D3$7jpFqXEzz3Jv!kNYVRv{C*D;bHs(30Ksvd^znAK^9gwiG
zFo3DuvJWqbfMrx>Cj6@2g!#UE8n;@Q$WY*@Zz=gONwq9NT4?%;2&N!~nrl>$v+Clf
z;A8N(GVv7zop`2&5
zQnmhJ1F{hKB_0YZW$U17A_c9|g1#x1Q*6=zQE})De*tasex$c|%vD@`&u4)N2gSj$
zW(gl>zZfY6HZ3T{v4^p2pth=E5@nN(^_4*C=hpMqnYrPA#Sl_hmiwd3=Utl53dW*9
zGWg3ot^D)E+lpu9k5Dd`etqf_OMZAu*Vv{RBSw^c$jEAy
z!m=vLXp&ZwbRpC=n!1xVf#3M)(p8lA{K~tk=ffCTYj-~46}LIu
z!!H?b5oaa^{uU~*_q%I$oN+st7YW=mUJ2)hUB!f4VM>AfnVkJxOlOMhrsF??fqcnkQAtv__0b_=8VwBou>RD}N0rDRMIG_l*8TUS|3IuKs6Xl@dF>Cj
zB14@6CyGTYyMib720t>1v_3A}-!mb?r~@WO7rmOU?q6^i*Har?+mo%3`>p5Ql8Ws4
zOh{P)fxgZY#ddPe9gdxFWfJtn=VXb`t0LxL-7U50QaqdPCoBi?peqFfz)K>Pi)d*(Sg
zri?H}SP&!b5n^2vA7G#^2Yg?3L!9Re0cZ6mVKVq4A?^)aIf@yziD1GS+4S(e-po1y
zqZeafXo!pyxT9)5AT%ZwkwD4U;w+0eF;nUa9^o7yRh$mSfN9r#&AS+B0!N7eGoupzH5Y0?%{WKnGj%R}mm*S`c>b6jhbf2orud?3MC
z0C6%McgZX<+8V%pO}eLl{7vb_i6skojr1B8_7M%|CQi+{(;DSg@j%*1b_?lj=u|y
zHFYh63u)(U3x;05l8ypz^v1=70O>fRHV}OUT=uch!uX!G`Jg^lgQj*O8ej?MkVU|f
z%6-pvR^+NN*6w9wO)et-IXUo@gmOu$l^;y|4n{~~lV87V?%^pG`+2l-EqpP-YdXoF
z!68>kLxm07zUcTFcD+>IoLzs|WB#4uNTm;V(!ZOXC66ABqWUHrnXLK8_G-RLx$iqR
z!`_b^I(4bMYhUB+CY(FFc?WSvajQ)CFW$Ui4BK~l>D-5Ja5x)GBj{!
zdhL*}K?vK|Tyo;)SU>op_L}n2txoz#0P}p=p~ijz0F=*0&+K5A9xTNcocXTVFEZ(A
z6KoIj_UrELcv@HC|4YSOc)pUe3WU-+|9m9!WCo;}i@p5{$5PHr&8mLGu)ccx(mf^P
zl&GnBoAyLkfXK~?A1@n$>t-5nTqIn??s03z7&%OR)YFCs;PI3uf%i
z7+Kd&Y2`^@@N%>L#PFSU>IRt#382`-eW88HaVkd-)C>(dl_=py>wXUY9!K
z;22!G)qEl?NpWWujG0@9bO-c*?m~KmDinfBi}B*euyj+*oY=fre|{3Zx{o~l>rDr3
zD1kL5Q475N(Oq3&e0;MJ{q<;p&VQv>zz^>3hU
zuyVyTe;X4?nDX5H-Q$D|6KdwUurpHzFF%R(Jp}|dV<$yjCb&3-@y-0Z+v~mGa}L@E
zhx_gsn3xQ{3O*$zOHjfiBwQbV&Nx(izgxTZmAxQxVRYzyEJ3bKc3V$*jirKowS|bj
ze9EOoUdvOhS@+e(FHYEiGN$r6)Ty!z58xagojuzh%*acwmmlhABtxQmde3>t`V2vT
zF;e_RlhL!(2Yf%D5onm~o~&X{)JH#=UoFI|ow%`emN9jz_zhU!V&c|GpUll{r<8_Q
z(sRpfwiVR}0U#f4ox^Y^KH(0`k!D04|?g
zruE;um4DKRt0}PlLL$o!v@4>0GKCDjW&YfK?j&w3jkWR!}
zs;`85u96f%EQ^H`^%^-kvb5PnCrR_`)|t3}?}{ivmWn5*S6~+HX!VmdbpYqjX_qwB
zhWbS4wpH$69J1;HDuvZfPnE)P+=P|?K*hWh3OFQF?Q^b@R<7^|*WHo&5ZB6Sa(Ip9
zo9pTZUNjaAfy-N?d#`hQ=ca=0&&~glgID`!=V!{)haMUGbQ=-vp}V*@P6zgjZa*jd
zL?DVqCQ&QSu7>Az&5m9Wovyyn)=|3mv5mxhHMJtV_g>{QFl^akg+eh_kUtitoFB!b
z3O#AI515=-j^K;7U%M5ZPUX@^MyhNF4DRe|WR4fjyKI~pk>}<$jL$_|acboC`{Q1JSnqKgib$ECfetFBRLgHomT#5k-4xWyby_=970(b`r
z?)vY-^#s=Y7j^{>QEgwhDxI+Z{^N&{nSQn2Lc>2r_I~-2**c?6@?O|-1D6LoXwa4_
zH6YhzG;C5Dw1<1=hP=^wOA;C#5O0ZW%$vLI3ki2gtxzT`py<#~7{6?eU=jL?@=FP!
zX88y5!Xh5cX_LQ>lM-GUeDUJ2%tdzsjk5!}G%2q?K!EPOyY=H3?Q@rmcn+-WSYd{3
zZ7zvJR!7-hKynVHd6UHoc&7n<1c)0fz2}Cw54s2@=ut=@xK?aXzvq-3sjpP#{7K+C
z?TVeT`T)3LG6vl5USr=0E-!!eiV!isq%Idd5tpW&OL0)SS5rNQ5>So2t+FIo@`xU@3TF2{~O~A4BZPR1@Kc==u5<{5LkGO4f8LWgC
z{ql0y!$Rj-Uftp!?HmKG>o0V)`KCXs+!uMtj9o^G!MSb8>E%$!80%h^D?3j1{wWYL
zKS{qHLOWh|AP}|kBNL(5dXNJpI0FygdaDdhY<0MCnf1LXiH%(YpaC;@W~qE0(4K!n
zSp&o3gy4&haTS=-wy>Pq&n8^0UujLX2f^Ps~EUer=4ew{-%)rsp({tOK=26qoa0%!g
z1DEMtAx`-7TbioWKUquQV;DXpp_e31Ik#^EVo=IQ@hh|$udZupsIcR+$uIfC6B*<&
zkuex3fT-iD*P{4O9bTSK__x##-=1mY!#M?ON%F2Pox@a|b9z=QN1-7O!jMp2p}At4ZO
zKVkvU&rMbV?7O%n6Z7w`_n&C!Jc^SfdY58TqxMuE*Xy{F1G7?m$_}3y@^;csN~Nxq
zH7h_%wz5PAOEHkw7^eGs$6_)*x!^l15uXmys}^
zv${h=r{*9bh;SN*PGK|6xTz@di3NvmD`du=^yF9$DPLOcH%&?0+<%BAnjKH+9jGy%
z?~vrA`WzdGr3IMT<)wk06Ut%=RAZ$fwo;7#)y0j~pi
zghP1nA%lBo_5g#dYG@A;x~Vnm^Nvi}fJWs>dhMhIHN
z95>>UA#jrnD$=oS$c60{xZ!4zc-5uZXvp<$+Otg6oUi_$T}dXX7Nxk7UzNX
zrllt4)(1koTTSH)Qs}$#iec-DS+-k4H8*!P$(6$H^NLa;#7f%LOs^}7$F{=HuqcBh
zS5Cj26f9MMw7+v9i4+b0fbwg(z>_{E>=l?lK0ey407_-
zO!_WnYOalWY)7IJ9|DZg4)EX)FR>)nACM9Rj(Zq-2Y$)^c8XOmI`uDf%{qLHKq*(9&N7GeCMb)+K
zp}RW;L^>s<6a+=-?hffLDUl8Z6bWfY>FyZ15h-bg?hYv_{r2#DFN+_pCE__d?)$2}
z=Oy6E;bcG-GFoWWx;dEY37mVx1?Nw;TcrQwo$2s>YX5U&UwE*OOFMy*NNjU;VkC9x
z`VSuqsjz+D2KbuiYGn?gWsCr0Zzug=6WATF{q6H9mS!NN0SD$!)|F-eqeRwtIL38j
z9n$@VqWIS-Vct~seA*yu(|e|*(@0M3xVAh1FY9K0E7mkF(x$pHKG?uO`2ZuR(g?lV
zPl#IE#q-g$i(MrGKF|-JW(ecI0*=l)y&5aOBFWPXC1^vTm)RqoUU&@EZKq4Y&c$6I
z1^xEvnlD$}=e#bKXqP!uz`=mBftPUg2HENC#t0zL<@j!+$shzlB|0EOS=3m)+REw!
z9}*CF`={?|Z(QKn!{*ar@s!NW7s6>_;Iox`Vkl0)C%vp`WL=X={pld++*yCXAe+I!
z20wY0^%!R4Tkv3MNHdvc^$bx8BE(p
zS{)JiP)s7?nxft|RRQ8laQdX+)TqUmESbj$8RCCEp4D65c6ab_@ga2WrHCR>0g;{j
zUaADO!qR&Z6CJwh1dv4NA7DKgqbE`mPhp8?w>=hfjK|*zQp)?@;h21QYA)4k@d39z&c!RV@wii_6MAUC(#53>#clBJZ2mVUCqF;WhqV$CC~PSr1%!=;%rQ
z1*l{OC!1nXK<^5Bo!C+>+cyEk$6`)BP;P*1>@X3c(9&9`gaw>1AK(rF^OFse5`O^b
zUoImo|NL5b`n|Arlh}>B_)ZSp&I$?BRIeM6a@)&628hsjWC&
zbXq%}o1cwQOgWDvOww_wxbX}2kd4%}09}3Ht>UY$e{Y@1fG}T?%8AgqTHjgVHT78R
z%XP1X<{3Qg^-t?`K+GPr>)s5+mlaWL7E6<@YYy-+D9}v1ej8O#O~w7<=pzbxk@tgl
z&Le&TNzT~rryINPpX(w8P20Ald>=9YGyu&DVSR)c61Dt$-w>lJg}b)Idd3dWHmZ3-
zwJjT;eMN&xRH
z!#Ab;#b;`pbt>Bc(hab;_(5;?*EwY$m7TcShXxrh
zbu4n$J;X+C@+SIxZRq8H>raqJj8?MwqhF^;Rfuk>tuj1*zx^g6_}IW>^YFza-$@IN
zJ)4~vgrQKIkB)bF$K41BCt!~xT^4V{iVN;(p%@pUfhk8$8d6oWlSPk*S61LAE7>*u
zot(A&e^hPdzbZo@5gT$RwtXUYQhB-{PbMV#h^Xq@#r&rgLfr9C$omAC>;yS*(n06B
z_47r`J?A4YK&x`*`hK!qPxRm1xV1;QJjPq|3`Ic+~@G@6+}4e#_*@IWFS@27@AD
zN0XsMwSsL`+Rr^LbrhVs-aBO*gZ+tVSvU~DAk(pG^5g!q@Y@>tsfot;li6+Yfb|Ht
zw|((!xT68_lN*G2xPPi%&6jbirzF;4+Ix|{@8Kn$Wxw)=gh|-yqBy+?lQa(7dnMudi>qT;nunZq!QI`5OcWOBrIbgDPacXp#U@(l4GyabpA_;ZFp
z&;XK?rkedsVA&wtWtIi|&#^4&tJ+|n9B};&j`3E0h1NPSb$HY)%6VQvZu~H$1z=I9)20(PlM1v
zn1Wgzd{fsgEp2t#wc;v??82e+Tdi3Uh`BAu_(LI#nB0{pw!BrepLv>W_%y>W$j)j~
ze&P+pCTXp_@@)m$0>VzPmz
zDXAEJ(NJ;i+g20&+E6N)?%$paffFlEKdBHd>iqU)V@EwdV%Bz1@7Fa1vflJ_e4iZL$yG@fqX|Uwf~AW4)@u~)y1Z5&
z3{g=|i##>D{41G+cpV$o`(NAmIq#u%0RvR@qE__Nh*h6@-P;_Itijk?|DILAjgrC7
zX?1mbGzWp46aYFWk?JOVzpSnTA3Y<52kxGpEP+^3QJAj=#GH
zGGi+iz@hVa{gvhTS_ZqGq?Q9s8uH>fHvJQld5wThpc)S8(ucqGwiS{taOBm&`)lODInUbHmMCcv>vi?Qv;k2=!0U$hR#<)FD}*s&XQYBobGBxm@B
z^j{vDPc^yakOAqEl@&^fInh}M7^F(<%N6fg*UCP)pp|zk9A~!j@|791M-dBzsXicl
z(x<2FxA4S`Br?W{S+@<2Uk2pi^Be|c!XQl{{6N+BpDN)R5t^`CkP*UZMF`Ze#W=9<
z(_)n-7oxYk?VCs30UR%6B(9fcP1ZqdNV?!k^U{ROfyBJv=E<(*g~$Hl;UcX-MuSHp)LY8ax{4ttbWD*MC|C
zkV3i10~HIW$aq15?3DnRoCXJCF!J49D7C6O^J_RcP?{-t@f2J{K#9TV*Rrd8Ix{Px
z{XXnb`34^Ai&4#AGE)+G+84k#q_S{;iDO?~J205Rav53onnGxut0@hKj4p~?n!z(u
zgyPq^3kBq}9oo~3S4>(H)SZ5i?UN=h6nHj#(StmQ4buyDDKmU9jG!FK5dQx5pg609}4*8gqa
z4Y8vOTyBuv2q~yJt_NvnkrTwEHe~7yOVM(Vcveb#6k8sH&gkkiX#OS`Vz_%Q^LKgd
ze_4Q9|5(LW&vUA7F9P_~+y@ybg^vaj8zK-gNW+=Fsbh#bnds*
z{cJ@1A#73k0wd<<*KRS+1nIai5p
zU>k`YTKP!+C&R4G!}G@D?XSya#xw*MH?FONAsYy#9KUU__29q&t#Ld`22K!H
z3}hKJUW+JlZBgg%D3bWRc@iTaO;xJwHRXZw&r|&UOfTvo6Cdf96Pzx_!JC@Y38TT&
z8sE9Jm&2$)gH>d;!?E}nMrOEuLVxZw#sdO**LOUF?2AJH%K3r|WTav&gmMG%M7D#Rp%whI+R5}DFXf|Oiy(st+NA5d
ztbYaGVHZ0fQ6(r@>nImf*~bCbZFQI(X^v-y8VW7f)YgA;5G>Jc&ENPT_BdA}NdL_l
zkS$fxkHTZfm=H7P(LaO0->y#|#v(%7EOZq{s;=Jz|Nyqc=p8q`88FYj`mwU_lI
zgs2QfqSQ{D*vP})wcfvf369mslMs25$K98QKiy&Ux4#O`Jq~Pqyc24~AKQ<&VB~6h
z*rY8QfJ#J9k2w)yp+>muJ)6qnC$!M+0UZsOyf-LkLtoxwaO}6_NVP*}6pF|?(D&_N}vA8&LM;KH}
zM5o3Ew&5iE-D3WLU)m6ljh%=&0*c~Ou@qO#`9#wL1>_(xtUiQ$O>)lm$Z2e*%-@&a2R;SLK(!hHFhy3wuy1*20woeqMAy*!iW@#0HOS9kg3A{yMRJ_X|
zR}>!NnEDfbJ5wnEZkw6l<+XkdI<(KGIWKdiRsx@z{goRTuqkj!fF8rW_j-GI*z+y$
z@))$)9xhiMH4U3e8Fkycv)k+m3E;nSzXLI4FFzwCq+V-8
zL`s?}+*W2@b6tGd+k#_p{>hVN?+2a6(_e(qIAF8N6VbNFAR&-eXJRn4;xK_i!`cZy
z?DPJt`*U9Mp(%%PJMYKv`hXE#&M!IoxBkF@bNCE7LIRID>allWJfzEevG7|R5v047
zA+S#1nEGvX=958*{X-%q2r==8SUgoPWIcYg)TeeS)SIWgDoRl*{L`V?ob%gMd^JgH
z4&YJ`zjQqK{%1(NQD~q%PBvaxo#GC5?T<)lu#4%fUQ_>0+@#l165%MTg&QWNgt
z-Bp`7Uw7$VzdcFDAgDM>-)%aIH^!7Mq?BD^@H7G;1gagsUm<+ah23R@z&}lI5Lu)Q
zbAY*9YB%{dthtt4u1}q?AekwVt5GLxPp_K6o*HJHnlApB0bZsdzh;#BndB=(V_v|@>e{NZ5K{|sN}vy2buxx
z=ks)#yqe1p4FLCyGa6wHi{^Ql(iQk$OIiH>8y@2O;ZX$8`-P;>o6}Bp7CxeL!Hl9-
zicIntT3|!deh%Usob?4V4oLcd-3@xCOWpQ#&Ev$1%!xGRb*kfEt(eF_+2gP33&HD~
zG%SiNl%)p=6nWJSUD?L`m;p&C;$DzU{rVk|ss*KInP-m=9oeay+s@>ox?pWcx79Yy
zHnk#(si=1W#T4w$PsckxjtDJa?4$!EjJLnQX4anTx|)lDP%koYG+J6ilnTNuF_@yi
zvHOF-Bq18o_`oKfAt%r{T^)rYz$->5b^GXcSSDjU+e7~IId6>>
z+%4i)=&hp>`i+swoxN837RJ6$hj;qr+HXM6KEGk>2Q?TAAKIH6pUNcOwU$X*uo6A|
zj6|0<3c06Va(}gU-1R93jtpK*;UoaFKw4Ooye)Y^26%zywv0EyprKz2>uLRc%*EETiqz^CHrsGIBe
zp?NPX0s_?I<7e4BO_h=6RCx{(TZa0MyOKgkfZc=UM&vRJ{LZm8_Z9zo3g7^4=V1Zb
zMXxsM-Hv5BCs_+!+bGlxi2hyLgUbSw@F{4!x@pY-+R>l}ze7oVeG0ody8$9_Dj4>$
z(w_?K6d9wDng*Hyn>vOquyM4UYRP3=}TTMJW`>B-%a23pO7Q*s-{7t
zNL-HW?Yyf&g7I{R=~oZzuBD6dD+VRv?Y4DA>9ZE2BDdv%P_{ChCl;ou))jZee7v7)
zERV6hBQd=Zra#8N0DV4PQ()|4#Sxo0ztEGis5iX)@C^*H)c`w_C*{E8jP>)nuF)R@
zA-+C;{V+hQEGOKT?PAup=k&`~NZ&$0{JYOb_x(uiP1va5*T4seiwnP;g!vkBe~-
zfD23pv;+dXIOeN9ABQ-z#KeQ300mXp43ny{BE^YR40dFfa2AhDsbJP(U;wxG?k*!~
z1m1>S?pv6~+(lrX-c76Z>)ORd0VFEUMz`?;bP?{>+RvQjDp$g-e?jH~sNhz~yU8Y*
z(K*m*Z8)sy^Ma0}Y(9r>^93Y3TaTA?>POJhM-}7!9sn+*olJq^Q@Hsav1TI0P(a~h
zs$vFdvgeQURzGSq1FH13eNm^mezhj*&$10F$n6zbGcbvBQOILAl&YK){D751Z1PL<
zYmaK~8h&}8cz@#|JF4>WD(QyPqNCTW++iySC;!)p>A>mj_`VV>tIT~S#P
zd`zUgM4g8<-d(qJS)cqE@2LogNP|&dpHON+YyhHK8pQnA4Ok@uc@=fmjSTSN(SkGUZp@AdwgNZy`vP6xAm~*m7{l6YVd_ui{;O6GDeaIxm`Z4G10F
zw*z^#JWv3*12OVWJ|zI^4G+(SlzhR%fdGvcMjFfUp}hkO
z@XZWFS5s6dfb;<>w3+>><*8cLZr6g7c*V_8ZlCRQHT%O)=liQd)+A_(vXUt?*2I?%
z$rymD($rlUd3pG$Xvfd2c{niWPs{^~T4-SRcOLbL*~oxdt2{b{iUce|hHUbSzyACvuWVHMXLkUN1h%}ZxL&(@UTDQ?yN~Sqe5H;V
z7gZ;CH_xOo?B82~@KAkmpT`NvWhLvWoJtzoMR{x2`t$_OJD*q(g-UGr9z21^a^GQcxwN#0w1Y7=Y-~CT
zvf(u|ZT;2Erd?PB4sdPXrSrf-L39%w%bKi@3RW#Io=Lx1jHXbQ10h#Cl40++uB~ze
z{GPG74uv2!Kk9)ZGWFYM>FY(r*Hfy!u-_0Q;IVP#yB$D-+>I8KTBZ)XSZxD>Y8DQfa
z?Ofq2e+-3D7reele|#@rtWoNH*8pfMW!x&jjo=)e$J=yD
zEEupD@vnX_L@j_L2*93$XAR|3H;E-zJ+g6U2LXeH%hvtyC9A%GfI!Hz9Q9gUAA(|S
z2900Gze*{=)IfkK9Ro@tP?+jlvYb*tpXkzr0(*&{_%je!{kCy*kZQC4Vt@;j;*B-RGfH<0uk%NjXakdLxKe+
zwsn)qqmR*?`CLL3@p7^rq<^qL4}(AmE--)%BP(fIqhLO$QF;l5ugTWu^IKA5vw@Wx
z&uLGI*+5f7i%r&I%gB;Fb@i3o_P92M)lz3>;aLmjK(;mN04a7f5=USFq9*K^u-z`%0yleSoG?0%bAau@Xea@mByZI*LUd-#Bi#!-)5
zD|z!Z!4uq(I#Dz!ld?{}p}g_yLLmUjf4n9aD1_m}8*N`4UfZ)pAqQ?aP=Ly;`;(N&
zLmXK5(yEJh_6#P4G7FDC*_ZuWawx*=5+wS30HWm#*;AEwfDc&QIIu#ojk8ol9Ngts
zb9nZ_$1Wje3$c;aGMKSn(g*%Y7nUW(SPkn%`*we9Wi9h4Zji@J!tGB+l~g{SZA`mn
z>2``TDHlZ^hYsF0x6F}@+|#ol@AjkKw7vXO=f#-7wzQQ)`nzMVX5&xlf*#GV^f0jQ
z-nBfo6fyL|0>cdsyuzoYK!V$cwk{lvAng2~pZ$rGDm6H(47^umgH!1U<;V0F*+pp$
zR3pzzw?Ql&Af^aQHGmK>+u-3jLAX2d_?C#dAX?zexEn~1j8x7A0XRG@Trk3MxK2xQ
ze)Cs`rE!hJc_sONlFDgT+XppK+fTY}*YJR?XqjBkIFGQ@&i8puB}!MrUTgdlQZ3%L
zAzOZcE)C&16Qq~tLvo-iQXvyke3W_7Gd}Ruo8`vUIG>;>Rba3qW$?Qz9XXBSD6A37VyfevT4f-~-&S
zYp>?O_ETPw*{X6?P@^VM^m7E6u8?E1Cp&gjr7fjU^vhm~d$6RO4V`X!@kk9E`1|W8
zEPZ3z_Q1l7s=AN~u)HqDtI;A!WsX{NIzABH)9Px@FTVtE4ES|GsMqQW&7;w++V0L&
zC~WYN512S$!3dBsg71rco*yBnMXQ;X##F^$5_8F#)%Q!lR!mQ
zpZCio5cy^mT7Y|`CWMQNW+m!XX>zdcKI__exyTjhO?-ZBA24kop6AzG_OMVIaqvn^
z_huGWms*YML-z7bKq!~aN4hp`9B$vTt#LU-&H=2`63?l8cQC{_AVcmV0M71aDi!vB
z5%fPZylka+2GN?2wX~n*@b082hCTgO+~=}sSfW!G32BST=$wD%)7W7ma`%z5-X%*;ZRZTNw*EMto&^~FfjrC95C~_OkTu|gmnbL4#r!*t<3GY*=u#r
zZV$Iighhj7NzI1+#18;Pz-dAdxCB*(0@gz5F!u1!SuMnE#%L1plClvW5opX)aDmUY
z4|*hEGywvh7qo=Hh6bWvN#I+tlYiCT`IWBomv?`b1pI~
zL|OE`T>I`wC}@lF-9{r@I({>14635e!1kFGZ7xqbq2^hdpfvsMCt>A(cXuRP$-O6u
zx>BU@&knDcA4Olf9l3kGd9(S?bYPOlJ86D{(JuEAhw$0(@ZnE4_9*|OH;YRWn;LS8
zq3J16TWUo%$8+2bElVNN<)MQE$RDij->khwrPcnzNsaDL%!S?osJ5jKzI`LHM+vVf
z8pA^!RZYzlC1eh}a~t96$b>s%TI|Dr$j;NxUz9CxB|~earo%Le6l|&D=nlee#FWgB
z5+@z7-sn88{SjMO;Wv$QLWkeTw-0E15hQIOR5~kQFcq&6y25%?0xc+j1aS@^50|E#
ztQ0OvmiAYq$@#lLF}8H7?`x#4EA#$~Zb#?0S+#~(ZF;XCCh<-$`Zu_@*KbYIMafX{
z8oip3QXwO2_IWf`mFC-h)J~&7)lXJycB9#F9x8EP`bDa+Ll@xkeNi*?D8a*HSV%wp2?DvgCp<>2?|7a6K!5--8mI{;0`}Q|D|;K
zvEiWBrCwG0WE`g$FL^5l8bqLU(e7CNY|`WBBb=1tz2n+6xi4C!#ViE8J#I=dp0-V~
zJG%7V_&x-i-*MSeV`Ij+tk=-MNl3Q!Zp(hHv=7`I9GMwWlPr$ax!A^ERXUxB__q_q
z#FL6v+@L|V{#Zoybl(E|l00e8t<4+rj{Z3m1~*!ojVzI3ik12t`Ban!XesrbCaW^HsEFt2w69;5p9zyv*{euJ6psQL
z1ek#aaD0$ro_6CIbH>=WH*%YVj-CfB3;)C&**IPL7}NemRuw4_o3gf_Vf!
z57;cR5i>TC7cycx^41+asub}^!A5rBa&vSo+R-g5^wS#m_}PmiI(yW^`^G|d$T$r(
zvoOv2LV>_N!G;X~U<_i01R2rPdo#4Sd|hdQ<`YS6lOAw+6^X!t*w
zJnDWVBy;!L4LGR`^#{SiIG*__I=0nQ(N?|F>+5~ycQS8<7Um{2${&NQjCbudAtJV(
zK%M7VuRi86^OI>&fE=;zzFVP@tMR3?@f1@hJ$@YS{}G%MU6ba@vjXeGMSnV+WI;hYS1%np+Wgs2`bA3eZP=}B>F>|hi!Pmh~CO*4|q
z6E!^eNVz5dg1Mc?sntLD*VwHzf%it$t>L
z%Y3*^FJakn_bbGP7m-$hN_sx|+Sl0B)A<;z(k9}U{j>FJg|FMXg5zlSy3}8UL+cKk
zg{p{x9Z^jZBzX*9k=vQ^LuP)me8EL-`uHOZsXP>XD;6Thyz2g!ZXk^N_8@6%k`d2Y}{7mK)t&Z<}p0MKh!2Rh5bXrio
zKCv0%JPN_*e4)=3Sv%_>5hs!)5Kl%1%)1-fhBq@NX2R`og`k`ocHJNg4*J8cTyNUHZdzbXyrkYg1)E9Ic&|8LIJ<
z@G@|6QvQB2dSsi4{owa2A4kSX((PDuT0bdisr3ZD{R9^w&jZf~7vibpeD`PZn`ZwT
zE+GrPm4a`+Q5R8CDlg--ifmGp*44^vDDgbV=eu#NZhd+5iXn&!?A#p})D^uXMc(0G
z6j?n;W%)WW&t;kmTXbqK{LT2;){BL1-BG>0-(*u+St?c8Z!pFaERZmG$~NM;jf(jy
zQe=O!#$bxV_huFhsVb6q8BLt+7Ul74a@r%$Zv_RqML6Cf%-B}UG1#~2d*$Cs3K~AMIlT3+ANmjs
zrPdaJOxn(UyyD`R_+J)4RlBU9BCY=2!-wlN2X@HQjsk04FFP9=l3ohx$Yk}!b}_Q<
zTUVCecys8f9#<=j>AUznQF{jdVo8kDZf3-e_@s>S=`dHGofeiP4~)bk7Vb)Wal%Kbd8lsQ^{>miZojK{1!$%=t^5<;94l(Epx40a5SHHgFg93KeXGc
zI+B16--1W0{VI{`R~2$x3$=u^7MY9adUvj_lMYD(Jq*p8z$lAn_H@i)eA?~FL(t;5P-eG27(?msGTgD`1rR6b&)`vmY$HcQUTKH7KY
z7U6ZcxUeIC>1$ZwD3F`N!68rWQOJUA1&Wg~49)%3TH(<55(lb7y)V)aNTnNg!swiBs`YyNT%#Y4%gJ2Md*Y06w(e6_{-;Eq4u=XQ>Gv!<3dr;
z3S`_jeB>@(6MYiYF3TUmk=s8;OIm)@*#vE=3JhA!(dG`-;T~2s~+P`WMI@RgT+rRvL?Z@7NOv
zgX1?sWk^Hw*pIWvqsc;!MzY7XZ+wI^``}}=kE?>|^U3-i(w`kX?}w!(+LN(EAT7T8
zQuTOUbY6`2GVlT}f@O?lK8`^KeNMKugh@-2&@3Uwu$QQXH)8lfMlZ|P=tqI>kA6&fa%NnX{JkAWSsr!@HViJ6x!}+V
zdx`90@#LdnA#wtnDc5rQ3iveJIF+j9u|i`|#tKqnTm0MbgvL3&
zb?Fa{L>k+@Uc>}7Kv=v?a}>(OSi|^vf_qrV;2}C`6h3Msw(uCh12Ql1ZxHQVfr<*k
zw_Lk6@yt{GH$XMsP`wm6BsU1R^{tlC>rs@5t12=B
zqejxlBu_>rTAG(6*>x^$$J*?Lb4WYm+u2x9AX=T$3xYIsV&ToihqT848nnyAV54N~
zYpFf;kV<9~^atk>tt7x5FA04&xO=o^5fr?vcH>j2WovFw2omxkU7@n{<=cH9o5zMm
zgsR$n>)xhJ+ubi7c0T&nLw3Fkjj2ECSoZ9O13av<+g_kHMRmjzMSw!=MY
zrtt>MJ3Y7})aANt+TRb*PhWT&ZdH9fS)#P)e8>Sx6mw$sEuTZJuJVlC0!`e)9m
zxi-CH(lUqqS#C78aWiq>OXofNy~+h)0s5!p9pJ@%T0a0d@+oL7e2=WO+-UpD5SMvB
zEWorSg=h6@@MLb)4pbS@xxK~l)F|bQ)>OlHUC)9bfVxC}E?T*Z@EzT&G839MG&ALo
zQW8QNuiRvJ3}~^=9uHh?sYv3aYRz*m1PIaB-kJDJv~=4Q9rwZWGC>tM$}`uPolP&W
zxSzHVI_|z&bYPnJ+eUCt9z{s*j|4m?hI~MyrG)1>dyAiwd^(Y7WSn16Wz(rhN#d`G
zc{Tg7@a6K{qqS$}zwg4nd@y_G7ssuq*ibqY&zs6=#%L63Qe{5F>NqReoQxhoY`r=}
zl2)p##6+s~yiKPQKoNtjt0_11v^fD6#?-E{ikoNTOoPdjbAqDT)5dFnuQj@%l|KH%
z*ft@kr?2hV6=2}F#S;cYZTG>T3KXC4e>(laD_}#>WZwM>OelqXC9Y-Y#om
zeqxv9*g)sLgdVSIEc_TOv=F%quenMCm2pqNEG)z_Bl7kr2}Jp*yqp^;v!|Wjn^Xy+
zjeyQ<-{>}o`L2Dr_9?9!Q!4C&IyyM$TgzeHO|F0&ngGofJ@|Ny%{zS%0l&n(I{D#W
zrER-fYv9r+oY8&$6B=}>a>k&iNjQ=W>fOQYsvYR6!gMAhtY25EzQTOqZ@ISeCTt
z;6C!cjDG+~I)h0W1VXD#0x-mVulmcAM#cEXoxzbm>QCu&Mo?x8p}~>xMX!TyMTsSs
z<{0}Y>HC+fy5+Fa8)xkzn~JY;xIPElr?M5P+#Tk`cq1^nz=5j0_P5nY<#f^!WG6}q
z&F%wCzc<*V_{Q89c3&ahH_}P=zLF&IZv(*Yy=?b;PS6x!(94g`bo-8vQaM*@!${Tl
z5;E@S#pzS`kvtdxm>tYrYb7_UQEB4;Yp@hk;mENc-euPdiqL(@?9Rz{pN=aoptfGS
zvKw$;m^qLsLR4pqnCO`J@p~|DryO3UvqVW4YUk`$r)fL)&&6i%^n8w+uB9@2uYERA
zar^=xSH+8lxw3XhQA-_=I{N#u{Xe7i`AJexZnxIXW9JzTp3xKW3awLYNIMs8Az`v5p{B8mBZFBd_F-5tZAc99zjcw4oJwfJL&Ql>uQ**HdH!$|*R&2H=rhJB|W|bUA}&G5d%A^+q~GZ*1CVaM(0L
zgV7{agY#-IGakKeqvzL28D%gt@?w&Y6woK&0*_+_a#}3d=-%R8u=Y(UbSEWt1F+nn
z9%gf<_3p?e*9BkA7B3tLVS&eKEKZKrl{rr4;$T@#Q>cT3;|!2v1#L}1yjgX$0D5t!
z7$31r&4pOFb$Ac6jM`pE01_1P=lcaGS>E0*J9S;(?*_ku7W_9x80J^R%*9w`+)Z8p
zA_B3c7HwWrsn0=zAm-I}1Mi%@hz0j_b4tea@PjvqIoY1-&58tn@RE0~t(x*&uKVhG
z8DDp3p
zF~?ZpUNK9EO~RZ5Dp=IoE&HR~i)Wik#a^H&&%pPO(Skk~Q8^{o>xNb=0`@pfp;2qQ
z8W=}+`4JV@FO*{34fK2wlEH@t>VzIME^OPOmb1QY)DZj#L%^YF{w{)OdQ^OI>FGU_
zXwpM4SEjifsW`mPJrjaG;`_-Lj=uG2RtjWYa)&%68+>G5o}?9rz40oY3H9eIubBw6
zFnVue9gC@UdvG@N8w{L51A^M}MIAiV&R0HryOPKSCMRb{tT#mYgQu&xrIdaML
z@EXv;Ohz72+wlOgW4O%HW!m&K4X;R=4qY{4-S~BK#TTBHTRZXxskqKC(KG<)LP#Wi
zSW}<>$0`deioZ?AB6jw+bvL4v*+hU883GGBGKSR{;@w_Lc+HO;NiGY(_#fd6<*-5e
zqobkFj<<9nVlcgKO`kU!U8OP#Mi~0@HE+NTk0;`Mt4nXU_A5*}W%N7!i*(__)Gpae
z?xjb%;7Hf^7`_;$Ysrf_^Y^C%!DbOB8?s3G=>AGE*!b7Xy5z#suLaeG=s-X3ksXan
zxXa{*z4bE`KJ!q`l}7Y+56=5jboF1ro*j&mP=p3WWs}g~9FiyQdcu!q#t=YNS7|lV
z<7TmhiJnFgI!YRU%{=Id=M4v%98hsmqQD5Y`;5LHsGuQNdp2^t>ffj&*$OneSm7dc
z{8TnfpAlU`u%3ZZ>$@N$;pk7~^l^U@GOj}cDKgt^=?ZMvGd=?9
z1`Hi$?*@p0g~YZ4rZ?C@#W;ofAjpU&*Yh=3FvzY&ZY|VNXik#ULs;p^36wvd-#(~E
zS(uJD`X;X^RWR=vh?@Pa(iiZISXNqHVYPt$VnGB-
zR0t3kp8
z@M+^5jJz4Kk(r#teba@3=-Hpl8GfTBNLQ5C^%LLzUc0Ef7ljOD1PvbVD-R`sf#Sd$
zPpN6U{fzeaeJ@($dUW_39$EYGG@KnKKoTYVnE`3^H5w^b)y8Yn@z88D5hgz;hMb9(
zA2l9KfUQo!(`TOrcnW}g-OdkU1SfcA3^Wx}WRa{jJlmw==sCWj5^V*qLumi7;0UI)nu&9#>`&I0<0A
zJcUvA6yva4TB1n}{89si!;aXsWIE*LC33~oq$E%-)7O#1?jbMTS_6o1E)dg_lf1Z%
z%^O~LXr?n5_U$5}Xvar9wa4Q=YeMd_tlM4vt$qK6#%#x(*4TLuh2nW7ah
zKo%vIyUq1`4XdubS(A7zSd#jHZgs36UY-XQALa2}<(E%pLQ$A7$CB6oU73S)56%Z0
zyl3K!lkuvfkO9~N8##n7{GH#1h{8_z&IFGAlkb*j4^p0q}rpnhcQxG6QwRaML6Fi8Gr^33Q0x+K2&J
zfKs{6D~2&E^s7(nTUh<|UAdhY_?@Xv_0dcKa`N<0vj%~^6lOyX>b;kzF=!B@NOyGq
z$&h;YYPLZ*5F`l1_~{*ZJ?42qkpNUhVN<925kd#L`PgPUZJiq(Zt}C+ZlU(8I$HTp
zRx^PZM>HQ4W3ZOBL7=JD(J76Jgi*(!Z`yPDHS|e4ko`9`&^};@y&F2PCem0br6AZN
z*JyD9b&^f1X0DE??OUCwA&|8j9G_Q0%^A5x95F_Z^%43D(OAcQ>c@jl&i&D?xfptg
zP%{K_RW+B0bmYL~+`u=RTWe^5RL+L^XW0@VSpp)=n2#4??DsMeGngTJZXTS7s27VH
z`T$HCfDN9#C^PNnWz?}YZRiV&cfUbv7%sI;m8ro4o|bX4W4X$C6B~!!OZZ1j2-wg};+Xho
zNMHm{fRb~aGHpj}FN9j(6rJ~N#G=oqqS3C?nw+2B!&Gca6fJ;lyBo9+xSGOql`1(P
zFpMvH2;IN;0q?yFDt^3wMs2>ATu{C-*zlQa8Mp$tPDCt4sj-O;1INPBgf3M}I2sW~
zl_Jqa$A7xDLCn1%;B3(|PW@QwS5T%#R%J<`aO8{gLpe~6e6)TOPPuJI4us>Xr5sauQ
zG3{qHGE@vs
zxw#escqvw-g;Gk32RkWll~YSzdUE0
z=F}4WnUAdm*N{Uy@u%uYWA6SBASM0>kUBX}2f~fj+rUhONOc9=NL+A(BO#P{q70bG
zfkG60FUZQvP!QIo;-LKC>x0Te>az~Vy|RBr8QL0f4HylNY_$?RIy$!C^`*Nkd}Ko8Z3l!Rq|D3&Nd75TIK5T-gy5&>has4tRh1
zGH(cOeB6N|8%Fqh4zAU+C-DNMIS2HE{1CgyI~F~~$c6(jM|kiIZGp}`oa+peq1A&)
zt{+9{plkw!opC3%Z|d{kzQTvx??cx)W2Wr%9Ewl)w}!4O&;$nmP`%!Tl0S;YC}1q
z$8!)L3TR2EK3mP@v@5*ERulg1?rY?y
zZ8hP*_{mW><;A;VMy35|R0E3M8hXq}M`4l?5$*<&WG++B@ot9}pg^T5*h&OAQ6cai
zu$}JwzXGlS$Y#h`5Q=sJCepL2>}TWWo2CJGvLBGW@7rq=ziTi6sRdyt*(A<9Z&I)I
z#1B#yep(5v4I}Xm^SsF}d0IEg1vMO_zBpAN{{!>?RPF`3r2o3lgU!!qpin=T!myO<
z839Z625A4FdL6$HC@A5JLZ;8ewRpm5@#x{VKC7;v>BT8zXZL~40U&rPkP^AV@tkiq
z9B@z0RU3d!_(~&j&pCo#ez^(r_{OyoL~qL61FcX
zBdSV8OIVn3QzdA%*LIF{TMco%_lyh&SLEaTOpLQ?N+voNd<9M<=xGUr&lOSHbFxW*
z%_ClX&j(*2_#of*!e2iVV8Z9e03)zV>g8bh{hf|P2YC0z*8uZLsn3!RW@=fz(AaEQ
zV#xl2*2r9#(I6V;6mPszIfkhEfE2b0}C={bE7a~XM0$LD26aNAN(X494wCI7~HI#U45FxV-XF^pW
zCzB9wL4O-SeJ2uQo4$Rz?9*MnH4<|V)Qj%(o3&=Vpzr`K;f
zR?aWoRkiR2&U#az=V|5=mn}o*O>?;Oy1$96?!vuA0!Tzc1c^j1b?`dSvjn&F`2(
z0Wc|LcZT(ZelrspF1NOa0|ZCH&0+`;lmNwayk6F=(NL0$Eq5HqbJR!t@LYHIdluGqK(wA7HF&6#edBeV#D^x{?7xcQ6LdD?#VqVVXvrBNj3ZpXg0
zJ|;k!|F69-52x~t+T9Y$*dRoRROX?~L_|u4WS&W6p2v)lA!8+}WX?Q=%yURWk}>l<
zZ?<{ntatl;zwbNW`RAPT*ZJeTm&>&;-o5wpKJW9~>t1W!?^;R^SrM;v^e+^dw}uRl
zIi$r+b6@PJoW0^DGoUu$Y<&phdm1^K>n+B@L3lP@<9+8ts=02OidD`i#RmI8nY@Xt-MIdlY3!aNC
zHg=?3dM|18e7&#O4P+jCAq&L^B@3y?^U|!0={XhDdz*YuHh_|nEjLJfn4fY1-HQF)
z+>L4KZWUBF-i+{7%}gia^9Ien(-Ok
zSTx_+_I*h5CM?b(ucB}n>tr#S(>JleYI0`Q&rMJFXoQb%CL#vC+wW{Ye@QapGU1Ma6g
zZ&Sc5;}C>zth!_SX_$&1vj>Kfp%c+2E6|;2fjA8iTq@Wf{}~=_!pa8J?1Qj$=bWx>d?e(=PDV5W>?he=k)S69osWQ@$Zd
zJOY7b{LqQ`ClZ;iIjMC_go5Xsm$x-&_!x6OhY{4*?^T6m-jvW~o#5Hq&}h=Pd^(wD4B%hyXtr&7OSS{`1|?^at;XT}FVMY_fY
zLt`JeJKFz43t;D*rPA?Gt>{*a2l{R50xYAZsxMy6z7UcgMVnH9Kg38U5*{#QyChMw
z7$ucxmPCUxiF6b7;srSq4gf9q!si)ga>LDd{VOHNPp-R@6)zk=-U46yI3P~}DXcg-SS{CY+Sn2ORk>_~i7J0drT`hhfkwUj6HrREs_EA5k
zIJwHYkBoU6D=1Bh9aF@BS*@6a0AQ03r3)E!{56kj(7AVkhBKe?dR^j{)6wiyeWEFBs4bE`J9m0E
z5iCxZlORvx2W|3yqi?s0Qr)A}zDtKVP{W8#
z^CAQxm98(~%lE<)=&0Lw0&{daAPXk)F$oVP-3?dY`}IJQHzb3OQVu`zM`ylACqHd1
z0NnXKD$Cp{Sx})s!9ye}B=w`4_o~Is5Qv09GaF+_NI^PvLgM;0_sz7H%_<`ac9URO
z3=j-5WSo7m;KOVUwfERum1%!VZdEFx&CMSgEXFotVEAmqed-0=Px
z_->BDp#(?=jJpjMS5s*vJ-iDE^6`8d?KA@l|Nh6CH2l8frXh4a-8va8qg9|--)JP4
zjWTz!t;HgUt=0fpEY8IkifxX|so=aE@@_|cS#
zNRS5t1Ncqan!xLwuc_^cs;bz6#&|;Jio9+!uHI?*xmb3hnUP=4b(v2Bg*6`BFdOX;}0RZ64&J1G=6YhAbWGz
zu^G1(;F8p){2c-uAs-&M%%Jnvnr>prw>iDHpCBqTQ&QypB;J(`DiGbr{Y)P`=}1`l*odTP~sVn
zB*vAxazIxx_QVR-{2J7bLTPk3LW0AnkE_ml$?^>aD)k#@Yg#aga*MSQo9`
z6u>(M$`6bhg#zyjxVOGJ@e6Fs$02&T`w0$c631o@?1hxLNzoHKH`1`l2T%iXk5)B`
zuC?BDoqR1*JhW_~zeoM<-8;=9mbk}u?b)%>Vmcxd|TnB`ji#sP(#U^bed5K?lvRC2O38<((gfwSm_!>9@+
zZ9VS;r`huAsd!kbhKk`)vMHE`^NL+!H3ypmEBzLEi8`EjR8`qIIL6lEk37(u%bv^b
zuDf$-Ta$fKQUWn*(H+avtIuLI8(`OfTrdJ0PDFbF(Rd9x#_Veoyxq(RmeDQd-)Rr@
zL|vI*AQ9!AXF?s7RDVrOB7L$l9=DtxA<3bLWmE4;wcT2j#TOT@2%Rx8+FmI$1|=s>
zcfwN_KOggy2Ha!`@Id=+4Ca7hfoC#O%M1O9|E3)NToLoBS*H@0P!hx$J^#~_&Rsi-
z7VCjYp`r0etz7CauB@R9q-uLndEoi$3Zv_Doq|sDr52}#7Tqex!V}~@WTgi=6sLPcsq4FS3E&7z`eF
zZjv^BYU2us13U!@^?F5A<(Ly;fh5T}-*1b;ZthP?f0B89eZ8R9zH5u8v{D1oWrE9N
zj0oj(v=e_+SG6_luKO!8C_QGIiD-$&Y^cb+F2TDvJsmc_RzP|V@HUa%D#5cWx0U$%
zIMDhys~{SB<3E4lQj|TO4SNcx5(kH8cm}=umTwoU)HN1e0!JItTm>rVJ8&Ar9W@em%1Q_`T?$YG)*EGLSBtV8BqiT_po6t$LB;i_hqW7^
ziG;@9Hk5atEZ!5}$J7@^cyHI!FSQ5(wl6;3v6mSbFg)iU{%z>k1qXu8k>-kr0-%7D
z3_YDlf5`Q4XZ?WOih%AbO_;u~xzlp#$*JLCciI_Z&AZgujL^=40wXWH-k>0#W>
zHXE<=At52ID~*&&>=Zo0!oluKWdzUxpeBUO3*-0dbJd)hsP~}5dMUk4OXSpWApYXm59=i4`r_I+>WHZrbVVj}-6OkiH9PWV{r<
z>D>%5$kBTdMC#}K1H!c+4D7SDi&qJG9=Rlxlkze+kAZE2fBi*4eZ5|42~dke3mftb
z*V~wDZ`2EJQ2eoP!5am=f>vn-gQg1V6u|jOP0i<>=GIyIu6Ht$pqJfkr^I5&A&U^Y
zLd<*pKGk5L^y2a2**u3kOrw$bu$KOCjDCD7TK{`*&Ebabt)B7m$7rMY_7e1=@8#O%
ztt%hoPM}tI_TS+wyVUIIdh891@Kc$DiaK9Etu!nfbr}Ox|VbpchtFJMcsQt9qDp&Hl#6unUGiBFNs-0Pw)Fy
z^;T8D!}a*Xxp>S3{gJDB)1Za{35xyQrk7nVnIl_Njyo}16yXz1{{3X;wxI|qsS-l4
z6DoaS1b1<%HbinQpq(H*KoLQ=T%RF9KYZ(4Ehyj43?|oh8sGHF>oc}GpexY7Ay%wE
zFWNUWIymlnO^p}}g&p#t=PLy+7f)+I)QlHs(nb
zCe3>{4cbFpzZ@*mGMUq3Q6pDEQ`!^w&19`-gjFH!{FrSYhCi=&pl1a<^P@hFYnSHi
z(9K51vKQo<>>;(t9jt(dI-fYLbyB+1PAE=>UEjRCjh&E|D_zaz_w_o);D@|9h80hE
z>X!T5Y_Zi;q#TotYAcAuk9OKuW|Jd|D~BHEUyc{3e&Q&imUTgVe~fHwYfp(YI=`U6
z_dzu0*pJs&M4naF)k%C3a==HuQlQaS&{phqYM5B*pBdO#_8LDQUwd6_<#hePuUL^l
zq}Rpls3oZR?tTTrwl7P;rs>vlAa@PNMyBwTa5ls`%yrA#+ZxWa@dZ?X5r7~usEU|c
zmMC~CyhVMYIj<*VyU-1QUra@^IM0K1T!X9~iCtYJdN(|C=xqfrZLg<^hapAN@gC~>
zSf$}CH#A70C#I&RthVyvhld0yL0#e$tKAHu7dh=cH5J;ZQ@8zCyRr$7o^L(pt5qKTEZIAj-2N>%bcR?
zzwi8Zs+x+o|GORiS3#%TF=KPZy4-TP=IF4$Y2@f|t7Pctsra5IdSYa+YGh!=4mynP
zT@5DunOS@g&cU7HS$5@o$rpOoz}sC(F6U1{#BK
ze+X5lJen4$Ii1x_nAIKJ?zseYLJpvfO8zDlwAZRT*cyo_eA+Ils*0-Z@28G?HlGo2
zc^d)D%fb8n2s48aioRSErjtl%--IO$C=KH~t}#!@0`4%u&wfwhnK(g;y2OM+wR{6`
zSK+x00Q1splhAG2?cYzRAed5AX=kN$@XZ2r{qlFJL0DKXW;PPXh6Na#Qb}&+W@T^oN+hZMaxM
zl&kt;VEB@E
zPebpi+r`7=F%b3R?}kWzwP2jqDUXK
z*4Ea`k#oT%<0@3G^c=!qeN{TEB>)z9>QjH9na4?42*sG
z_>eh^WIzTtoP&~O0sipy<7+MfP9JB%$#0+ooE82OL*Xx#h*VVS7JdmHwiTu2u~a1q
zZN=Ax6erY`Jma$!iq|ob>0AQ6tRedbG4X-nWzUJa{>M)tc?Az#T;CNf8gMak03jiZ
z5wet#L%9AlA_a(%g4peyK=)T%>IM|jeZ=#Wp}^ON1?VI-yA960;JEH3a>1Uum;2;D
zC6%SVUdKKg?igvO)n*k~v5|evP7#tXL9UAdLsiO#TXA&QBFCU4ZbZI-v0vbX4?=_;
z*(0)=Pe6_d{Q4r+)7Z&i>_1Kue9Z&q)AVdeu%{&h`wSvHoIrtQL%wr!9ZOm^eZRz$
z^SIxB)PTWYaN^H8CC|ir)9LSzQ{teY%aped;xLGh
z-b}LI0B-i!%8CRUh_v6@8kC49b;|JGiT185sovl~)kfFs8+(8|Cx)E+_8t=k+DYJ|
z6k>(_ZM^pe2t1II5nUdN^QFHR<{1lkE}2;caL(at|&V`J0M)x|?WkGlHhEqdgQa9?KH;|WlL
zu?li>a+fd{VLVFFS`;S@N4)Nv9G8;84(hA-Cf}&B^gqCkJ?sDEYC7aOBY`6dj5KW3
z9C?CUuV337dEKx`%fg$2lG0_p6au3ohv*SZM}!x7;=@y%(L~_za~@6e%iV&FWOjDeApuc+#*aQpGMdtbCQ?%k@PF$+0iOjMCdoBfB
zLzUY$glLK*bYc!>1|c}*e-XWb@GA7e9IYdux7;;0Da`XkTObU%Dp~(Mh?DEQmEp@2S)=HYklcIIm0Jv2IeHS%|k91lbb3rKggH8&2TE}8hCzZUc7&6kdQ?6
zw($k8mm!*{7o-%}^+uHqS=Rnn|~oDd-0h|kO?X-dEtlWmn2>vqIFSc2F8fwS|2
zc6I!dH#3Pd!|t4B3MLBiZk)eg{I%rYSRT;_zSNT{ALBUR#WGawseS+ceJ9}&Xzs`B
zIQ!5c?(N&pS7gG|v$N$cT)4o>$=Ng69N8A1r(L2DBVd!eUv-CD`EToon-^$k*zOk$pm#TV^=Yokpn4?aaSWup
zI8mt42vf`n%smN-=Vk3WdzSzA&0oqEHwa
zURNB~$a9G?%`=6DOYM@??N1o!c9Emhq|hf&sKX$9E>y(i%uLM0aFu&S
zn9WGFXOxlKv-SGx*RRXe2a>60spXK<(dB|S6h<$uH{yL%wKP~Zv9LaB)J5(}R75cR
z&*ubY<6!O?8YT*bzkF#&Lr+buW$ZQci`L)YpU+hfqu=t5BkM+cd%L=qS9MReX7ZOW
z+#LGVI!50^UmH@1{XA0*Ghg!1eN_JVS~cp3YOhF3OHT{3vi`KHG^8@`Nb(n|aawq%
zzUm95sy(%hn!>x^vM77R5_-J&ctSs6God&?-<1!eO*CD{`zx5!sUqYj7rIr
z%F4<*2j3$wcfX;xveP!kP`BLiK55_`g*0XO?OdU|(37L===k+wjqA!|tG@+}ffwu5
z(^*XKb9bikPbgtCZdOc-Xj6p{V8y07poW;BoNm>
zgx^WY$$TcQRI#_*)%@^DZbW<#v`hM=kVaM*!1Yl1_p9_AVoivmwMhW9;*NJ)FXhtaf=HB)lxJd}`-xRXK}
zl8~B^ujKyw%)b-B{%y*>dCazJdo?wjR^+2m#n2Le^{V-Wmt?$Z6X=l=nEk5Fev9eK
zRpsUt+l16w%Jf_5T>p8YpDlWGrv9A;YWW`4!GX$dWLmN`6i@R<5}f!+jW
zJhfIG-bMEByF#c0Z4-1j)r;~93U1`-)xcVsc0JhLu%2*P>@y6P38S8h`ZRhgY-LYv
zC#&Q2>(?7%^x6J!?-Dl?#Qq)n=<63RPCATygPlDO+qL_o)l2>Vwu1Hc=f|U8i7m@nfe?KyPSjWXk@+gW#2EK9oxP
zlsyX*(`2=GUge(#lft2`=SEvgL-W0PBe?BlZfho0`>QQ
zPSrRCZ*>5KPYN@*5f{b1D%EndrqErZP3bIfZ^;J74uE!GaGmS9`&}0%_b*;F9lu1{
zAxK0TM!$>yJJZBzBcbbSU;R<`#epT#=#pxV29
zW&6B2VWoe+-%nTZlR#x|s9{dXzi*k!?CizaLJy=J9_;l}IqYp(Bd{wdlqhi@_{hfx_L>szvvF{!+S-2c_4Dh_)fI^d
z*ZgYw+N~9gOlH_Ze^J&&mx=Er_m6Tew>39+d@-zF2U?lwwl*U
z964G=vUdVWRl$gKRk}G`y?%Y6uw6_U%yiCDQDvo$`{rT?fcW})ry?6KuL_6O*Wb|i
zHUW(2EV#dzZ5^`m5`ZGJmGMSuQP(e8UriHb=-i}m2}ryCq&#o})Yh6JL`H5(6(FFv
zWM3A1wb6Br8infm3|p}6BVQzww2VxPbxFl7lR96#kNj32nato_)WVLlxD&!o^Pg`%
z{dI3QFW-Ig$JvzBRA@;m%3W>T@=n-(GH85!oaw&%)>1bZ(JZS;XlFZ*8LJNt3(Mgd
z0ffuZDSHI(cC3)DgXJ3)6O)ymo=!cnR8?}Yx5WmeK_PAJ`3mf$UDz{x2DLua?F&|T
zczCk+?s3m>Mz;k1MF#G})ND<4m&PXc(*?NAygtzGlX^lCf#Ze&8lY`kM7@p
ziQvlHw{NM{=Rod|0lbctiz{!XAB<|}fK3g$?-XdL$)aO57_oaNdLo?hVz8P#BU9$K=1qqLZf_;vAJoD?k}Q=hih4osER9AWJp#{)?3uVmA%!0$i`Sa+>$v-=z
z`^|p7WnpD!S8;VMWilK4<_~QmMXUz}ku%#x*Fq&FC7)0Q0K4V2?BfO)%7lx2^BLg3
z?ZeG9{v#{wt$UULuy7mq-h&6qckkXU68B!nDamY&jEvmaUC2|X5jXsH(!m2WDxs>P
zqCz9`xZ%{*t5?g~^1&SJZcjwC?Ihj_9HhH)AAF3T&CN=;YyC#}rS9IHhdatQ1GiS$
z%q&CZf0~urAuHm{^A|5>z$R$;)c&3)`TI5oW82uUeB9hXH)EBt;9p(-2_$k1=+{07WOz;T@W(`Y59qw`5g9&L8r66
zZ>ijFBEa6kA?m}2485vnEHJNib#n3!m71ol&il!(ZIMt|ttsjbZP^xuPJ4jaSn%WmY}y=^f9w}LG?
zQ^REJqGEc|6ytMMv3TTDo`{`SZsPi^6~5-yR%i@iL9^(wwffnOBjYCpc^rQP7Oyty
z5fB`#pL5(5#*3g8^C*>d0IHEMY&+`1sZ*Np=FK^n`X6(SKY
z!UP7t(*rl^>Fq0XNRzSC_u5Gj+MHytKc2BzEwm+b(Smp+w*goct(4}x{qi}lhTwmW44#U8ewDbv(PkZQ&*fM#&XV1!o
z;zV4mi|kTTQmBROpBR1aGI;amP3sC=L{=CZ7gsOPnuV_i4T!U3)&JF8U3{d{O*yY}
zHCU*yKcFP9|4&fcmQS5E3qOjUyYhbuQD;s=G7d&
zVZu9k()4hDXQT8Ac3!QJ1UEJmuC5P7M*;!LK>jyWnw3HMx2Zua3^y)C>
zyl$&c=uNamE?&GC{PHEw%yQ*gxK@$5>eR5F$BOg?a`GQ0g=WK*ZbjAK_m*q8?t_ja
z9x;|c6E6lN0u@Gp-?}6wf5c-gjLv;Ae|O|Pfu84vDniKJoFHQ_D`#LZ>d8YRU~Tz!
z9~oW(&++gA3{Almn;)uh39|#B6?R^H55ec=yFarJ0YTnIN2m4m^-)h~6aLQINv+|R|)2R1=G$q&#WnhflP%{6Z
zpi>8{EnK@RP4s-v)=d$sW>S~|w)G>g*&D<>=vFvu+AsHkjh=^eP7gE!&H=^@3#r+p
zkcE>|;lqayK;~3|Z@?%u($;7K5|xtg&W$&Q{QUJxO;$Ge+qZAzmo8;bPCnt#_;MRq
zM0bLOANBSxnr_%BJl
z=|oOsA?%9dX}HRRp3T>piG5n_R*_K2LEd|MdH%zOxl
zZQ=(1rOn6RR~zvkLy*Qj{tN2=5!&}(u4R|rAZ_b=kXEPwGQ|7R3R1a}2EP9T%_8-!

literal 136833
zcmc$Gbx@nz*KVLKZLu1z72Kh?w#ACm;$GaP5L_!jfda)PNP!Xv?rwzw1&R|=+>1NG
z
z3O)je$aHZ5hj!6o1isD*6@SdToM
z^L~g-?-B}8VIHZ1Z|55#ul-%>8M>VP;CeuNE3Xo@xQ}+E=-wx{&GGD>wq^tfbw9%ETT*NZM;X!5NWKghVVsyA~QpXPh0
zgGQsR`_sgh#kOQ6P6spJULHDLX^M%7buaJB=M0ZGdRKGQE=FfA9Bob2FLwNM7d?3N
z6eV_z>jv8_x?-NosqSmAnR9r9;daIH)>yf0^^9M=K1TvLOo4=9Hf>yb3Kk)s;}U-R
zarNKg6ZZ)il~b6!QfH1k1P;F6@he%ZQDn%^cl4FwvoHjp8C`cqb%M@#L8&ha>^Nz=mzsi74|
zpg`Z{P`%D5aUy5z4Yn@qy!bPk{2%>hlepfXJyPW`#S+~1D7Y=7w3J)!_2Z}k_vSN$
z#{JZ7bxFw&4Ti;rM|G&x{q(B_FE1|(-mNM383T_7<2D>$biR?;daX{O=0&^Fd3#0Y
z(!QtI*+%*4?@nZ3zhwix?#-$~2!ZaiZVd@p(pS
z0FCkyPftq
zmP?$KhxXHod8x0XiaG5h4u6}vjI!BpPdC;r#p^-me}phcf|b{yKyC9gGBW15%MCK;
z0!a-A!Ud)U7k2nzz1=pI@xFa?PDC^_{#O@un^hAQynn2h)iN{k^A++n3t8-Bvj(lT
zO#H9TW>5z1Q}hVuu@5$s{|a0;)(S$mim?S^Eq!kD8rJaQKHvEeMi%j_mTPy2Xn?I5
z_@a^J{GB0w$8EH0^I@E6{F8CtB+lpV=r;Q`o}Qg8n{mXry1A`|vKA#)#?=Ccu=8{#
zKZ=o`#@60G^;J^10%v2zjt4mEZi{jaiT_CFmd7hTaj=R)^z?q(k=0C-uRKExQ0>sp
z1+RlaS>(uwy5J#Ds3J06Wqkjc-3WJe{Wvf2!>y_OqlRU%z)g|u1~txxo%fl8xqBxK
z;PE2ki{IsbI;p0M%;S3)kFbCLi{D{+x`udq0$rg&z2+T>^Aa2!oY-EAxc=q1UJE{c
zez;^X;i~t{S(-!5T#!)uaP8X02AgQpUN@^Hw68mkHLNOY&VC8>+`S`mXDp
zULG|U+fP(=twOuG@N1_W8dsGZS#-(A1_xigUD_B{kpLQL+8LpfZVHqIxEaIWm*`^u
z!n3V<6%n_MFR1l6V=^9m$?tDet0$eq2&skDwKHmMQ5<5I#|!1+Ib93_TXiRYV94LU
zneve=ZCqxRx=Z^f6>k@08jl*ckxwE;c^ID`+a;1EDzo`=5m!$bREY8Lyhi`)K$k)S
zNHrGzz#K=oA{C;6<*lu)^?8d9^WsT3dQVLBc{h}Eb8)G9
zh-wflgxK-x4Z6|YN1VR>8`xU*q*}uAb`dJRHshuYK?vDM8g|c1sLuOgQJVe}6}#xG
z%k3);(aU{_t9|m+a^tq3R@|{*T0f7`W!^E`i$PksXp_=JzuhpSUnkoz1%!Iuj)zHk
z^{O_T<>k3KPf{N3zbdS9y&;!EugWgzFfqi{Lo!3PYyW{HkDNT+{bh+#IU3K!sMdu-
zz3T3DboZtksb7k+IEf5sT`s_?%G+SHkP$e97BW+^!i_#WiwC`nZ$t%NwM
ziwJu{4>3|(i6I7PHBj%sbf~bwahDlSV0s8cF>jhZxI*Dp?0{frs4ze|%EsC!IKO%-~Gif;;WHXgj5+s#fe
zWP$Z+{#X0x>FWrm4AXoy?Rzv;uDgF2MCrgJdbu0vFKWBcSABZwHRZkC7`VCZvn+xq
z2eHvz!Sz_R#JZ8;5N
zdOvBn%lJ+4op-GZoIsf=$jOCrJUMVcY!B?r%E~gQM6vURwP)V(KW+=$ygItNoQdr`
z0yt_=mX_VF8N_kj`~OANdWHxDCco-A)Ml4l1akU3r#+v&8K=l#3BA0$ICBMoVJ-dY
zBwZoRdx3H$x2lR?Zh`(G@N76hdz3^h_+iLvcSOH7dLQ-eXr#cbc=I^@PkNpv4=+SY
z7P$t*nap$u}7p8C-J~;QT=#LOWg^I(qf!O}`f0&Z51rYUidVl%2Djw@v4?
zMHL|d^lWN9Out-BU)u)0hmV(+POf{&*=s3I3yMZ+k;X|eRb$sD{|g6u`cpVMpDLBh
zzFybABxJLv6mU?Nl@0#3D`Vu>?BBhR?)it@z!j+hd?tu7r>&$-TuZwlQZKeWIzI)^7Atls_rL$297dh4~9PG4-fujfcySPwSob7-mG
z9J8tHHetTJT)ioA{QT92hOX$YZva)|Hi9sw))YSsZuwG<_Uv~jT&!sPU!WMK{4dJs;`B#g&WTm4C}r2vt=@q4>bMhKKXXwu&%N!1s)z2(J~se5@RY&@y@ss2
zx;#UJL-Xs{7bFF?j|s#@&6lU-)cyc7TZ3Rv+%{DXVr*QOS*Ra_KyA;G^DxcRB!Kz%
z`z4Ae9O~`67Ya1(ObC&2)zEkmKK7MEeTlGkoKsVms*6o5lsAP1=cVKuPL
z7`WxNvL23Mq?S=3Fd*p!edn$QWX)8mX|Uhf#LU`aSB%%r_nYW-qbuEh(f!Xrv(&Y;
za_~56o;mvM!_bG-%?2=j`{V?nUYwj^MEb>s<#@Aya}x;1tEA1xfrM0o4-z!;?vS
zu_B8nhS}+xR~|?8Gljqf2d06vR{QbiTB=FjUK+VVmlKhaQL;jNx=e~}$YH6rj$qa)YO}TSoJ_QNzL~lC!>lHWb
zb^l$3?fLbFL@i2wy8)vMq|x7%FrWEt8i~o31B9Ocm(~8i=G6Ze3I4xH*8gV<2e9zm
zSIKu|qaW5^Ny2cI9ogcL!=19c_f-_4Mcwi_9E&yd1}a;gV$Q1Mi}rUA
z=2dSPZrvtrHINInbRKs#QTL4B!{p&T6d10d<#9sak}FRN(^&eiKO>ZK94(*0dk{8~
zzj6;tF(xY`lNnpKBN6YzT(5^*>pFM}`?Z*d=N6WMtfY|}`jLoQu0V8cr!
z3X0Gxzh5?(`F}tm7$XU6nc_9WW)SR3e#n|l^Uj}3O6^aDPEvh-V1yZuCw>8**|6EM
z62@&O*Kp}^&uk{$s3|ChSGx&1W#)zN$*;uQvpY}p$6Eh{!4D5*pk_>PC`U0xwE<}*
z4w3}gd(;CKf^hZ!dwH_xA|1WrYCHQ;de--K#->>m4TMS@J+K~_Fb@^$xI6ed>a;Vq
zZ;4(mLrO-4hEkISmYy?)*^M^SKj-suz#KJd(M;j19C$yetW$A%hMRdOu0sn=L&-dK
z2Ym32^&<@Dr2S13XUhDj8b!3-|EIUCQ)B$^o2w81d2>|2LxBR0^rWK4+O88;8QVvV
z#LxWmiLYH07%f>U(LIPS>|G;dF>
zze`pOb6v!Ongr&H7Toxis2T;$O=YucUFc>VPIz`%C|$YDp@@08V#GVld9X=eZ)myy
zML>z1$IOZS4x}e}#+sFR6}$tszkmzLHQ9wK7avHE2vHC#l7yu{e4kNNK36(m5Wqr*4rf|<^%y(C>?ytAPY~79rFbZpw79kS+P0B3bU_1
z!Y-6+?M81T-h<5ANk@|tNU7yi^-V^+)-z(^w&}
z6(=mq8xTRt)f64KW^4H*pOaMZ1A^G(b8rp3@2t&kgI8z9o!f{9L1s>`
zf9bbYjNYEm-CmdOk)%b%{zdY!v0K
zaLC9bBxFy5Z3NN&fiIU(TrlXuD1%2&Zbu?H)_}OUFx55Mj&n)2u>DY4;pgp9QsQgH
zmDe{|J^kB#;5Zseq4W*|YndQ2CtyHJbb4bJr9U{du#2Tqz>5&AGo>G%IKo
z6~Xu)f^+{o8lX_^;5hjGU83O{0W(a1SlQyhSw)*#l6!MWc#O+B4gX_#?AM{Wjj-tnbUe~7x&F+8|
zD|I`=e3aM9FmhJ7mA>^(dgF)Hi)Jy=-1NrreA0T!P!%;<)OyL<`_X4zeqqK|Oz}hg
zhMPz{M#)fkxeK2;q(!LCLt1soEB%JP8=pr{afev11$RZ$bUvyQmB%+5ow3V#$dPuC
z_68X4tE8jb7#ShMh#OiSyV}teSu*mr3JKoTP!U8_JJ`Rx4pTZON2vyq
zb&De+JC-VRD(Xg`zyg~uz%^T5zi7c@dwugJ&;{T<)kha(kZN@mdFj4x7oteVXBg5*xj8
ze-ewEVEs4TfR`shIF(oXw(Wf41OH)+0WlhHHR`Y$HlXep9_BNgK2V}
zoR?r!RG;rFGRPZ35FMm22f+1IUknna?j5d|nzb8!v8$*o8*C~pOf_6((Hs%^qX(x}
zEwDbP6LU3Scdl7o6eTb1Z4XuS7Kmn``g
zzW0EM?}^xtPcEXyg(Eribh4I}KWmC|rl(sZZC%%t)Sa0{t?3?BO#Q}!xNyb@xY`NA
zfnhcf!ua_;kSi`62Njq_)yc69-@IE=Qj4UaQQsSp2WBAC?-ud%OGQ~n;S{4}x5h1J
z0!bb-CJ6-1hxRWF>17#%Al!bh^|%e(<{O)Hyt+t`Qxsz2m3M3M=>>
zLqH=(*4%sLukm9pgp3Rz)qcbHBIHGl$l&+yxuYYV(5}$0htOb!7y5F#YU{6B%u&%bu5M*grkPptfXk9E0~@bm}Ie#N`
zvTx91Y(eF7M-NVeWN8KA9qF(`0vR>1JYsNNl`VBR^lMlNh7{Ar{(EcCvC7i#TF^&Z
zZ?!AqT1X)Au~JFSq7TS}DhjjDXZ(uWG|S#=QTR7A<-C4)ZsRCbtH$RGf(vOiPGxP#
zeQ~hRGrlJn9qXB}tpFk_Qq{*wFtC4~z@|p5Au8)R9BUn6Gy<#@wI&=%ct?g+e1-;!
z7}RT0-s-?{l(VuW%kyv#?$Pu!cW`(icBDT&q9A5mSmfGc&Phx37o(ilaNg0T!{&fh
zRbL-5Tqq*jl8Gj7948$doJ({*ao+Uo1`e|EH}#N;(JC_X=x`;e?_T@RlI;~X704
z@&>mB2_t6pcqeVe8x@5#VVV`)S2<|k`a(#UqH|K2BT}#~z@OJ)AjBrPnZ5NzIH+&L
zPgMNA7F`mu7Y4I%pN9m5iW25un%S18iHm1GAeLu>2FC!c$$L9NtYq#AV%~J=H;P7O
zpr)%GN=oLi61fFdXCq3o;koaLJSPnsB$6ay(jkhLnB9
zmf#*|r&PD~L)bv0sh-!xGk-DwN%mYO=+*p_NiJr(T~9_Bn6^ixvng#^h=(Cat(Y?P{HsQr+AGaal`r&p9@=
zb)Hx^oSmAp+Cs+=o8^@t=mUh;y(lk|tFZ7L3-V@*iZUXu5Y|*Ik*QHhBV=#cs*~S7
z0ITLju*Rx7(jkDqWA{tYui9-!Mww{_2W0|uSNV8$C_@@rw3
zT2?;-jW)dO_$zucAo@=uo>X<#E-|fLpMggb@7%a};5yD$XRQ`vxQUnVQgKi<6CP^`
zhyV?Ql*8i~RR06|h{pf)0ssg@TU^Y^oLvGC0)RC}MpE_4pIK%rtd&w_&rUmW&D~|@
ztzGfkD_r!-H#EaQ3_O7mVou-*sD_bbeC^>#Z-blhYrSpXti4rZS7)QtSfn@e72HuY
z(4zG}y~G`qOM9
z-q#_&Qc0DAM!1P!e?tuL86Y$O5QWe;>J{>)Hu
zwwU{RY!_L>=THywM^67FxJ`zcOtYBa*Ix*vPHh9?NgFqL&_UhdxK1kR90%lABT!}l
z&-tc|^b@97)P@#hgOLxEf5w_ggmE5fUe_O{g?4wTz5pnVLctPb=~=x>;-0y~7<8&m
zFV72cVM`DIE-T4ND;jt$Kqe$m!Fpj{ivw>SO{RhbT7OLb1{D@0Y_v3LSEFY5;>OJH
zS!7ewr#cl-EVj^xcW##;8au?YOhsfDyykzGoMth%4+~L~kqu`B-|XQJ!01KEF`#~2
z3K*l+y@qboJz6yreC0ehEkvPJ)!ObO?#R-Q6o9Cw%I7wkAplFr%g(#l?av
zw1*9y>VV#+b+k&{H6RC>4*gjsqM)uVn?Ueydg%ww{ZHbQuGe>a`7+8NHkn}F0)$34+`9xyN4F4)DC_b(k!UvE
zI1%J#CBiOk!V>E%E?^hxoLvnvw(2^Kk>)XgnF)j^$EX?R^k$;bH1>7}tC;|@3jxxg
zve{n|gXm44yrrfMSs!fs;8n@_+D&}(``$JmE9(Zvv6R%5z9&sI4f-abt5=-h)w&i=
zhex_K2-Q@frql!o1XWO&KnGHLU9D~8AdkWDO;cvHRJ09VUqc8XxTEHE`A
zYBE)(C=Rb8;7jO|G+OvB`*+d#Hhe@%%&+14l3Gm4pgAUN5=294s!uGbJw4{t0IeIr
zD1CY8PN>xU51hx?>f8)In5?F}9!pshjfge{V7IC|MW;)INFiawE8!d9UFJOMzNt$B
zg2bM*V(s{)zA2(W6IIu9`4?d$-+}!wCN=2X-%1;$RbrXlBd)R)jVQw^p6Qa%foT7#
zYm;jn@`m%i;E5RyW0bVn5muLYBqatQea81(aA8ekU1i}I=k~`PkYjbPm-MZ;kJfCK
z>9Ny?i`bJ$RuaG0gS8I?;cSmJU?@;X7!jYxJ5Q5pvOIKb^M&i)TAosPQ?x1Yf9vbD
zWH$ra3-m*%<%D^l7XF>8iv6i%NUO(L;4UIE68%uz&_35udy=e;vktgS`bIo%i0$Sv(>W7ekaD55iSDfOkyL80>7T=)v1uF-bW8`xK{tZB1xBOT4
zN7G1@EqL!L0Vw(fLkR|rj(S(*!Oz>zLjx38vGr4~J>%0c+NO5Q73!+H?f&L-9P{@l
z;lT|<9%Pfm^10xg0pt(zDi$4%wdMM8hQY`s`oQ9s5sqw#<@y(ac>BQrI%*r}jl9eO
zf0BUWThG@OSv0HJ+K5?RoGAxA5azmzd?{L3HS00ep(~tzttGRBXJr(KBLcrOwg*O!zipjVy^#{4cl;5bWuqS
zJvckig$kXpYa({7s>(LxtX&ns!!6=F6;CIyb7rs-#
ze~9NOaloXzHj?00FqqGtko{UDoZ(~r0*D3p@4p7&
z;tNJ*0=TR~Maf~E2GSvrE(tH~z2;3t=IKUa_w7cS`I>i&ynOBW?fmQ(xG)3|8Oz^I
zVz-qYeh&PwO!ieq%PMg8!F>A4PkrOo_%+8RlC0%}apYlV2a(xC@@DFih?|f^jTo(k
zG=8Fkx}ScGA#WU&fNwdyuB552;ypoJU;+!_XvT*G4re9mW`AMSqXZYx&FWO8WumhvT?R5Xl3&bzOwRPnCw
zsH&GjmGf<;bPX6{d;ch191aA$&ROFjlv1Pk1V89pr>p>osY51R`Ev(xQi+MXdAN56
zDN-3GO<))tWU`uhLDHtW&Q{dqHNR3KGr!RM1lDKmsG>clZ%A6qWKf6$Q5cJ7NC&pj
zz0^NqoqHravcY*Jfa3ZFavb22^$jv=usQ1a`A-*Jwb8m)iTB4+#y@QB#x<$^1iM*#
z=AVJJ5~BJ7fTjaR7;Ldjum1#1MH@oeIu$}lD03Ur!WeJ^a4#u2Ud56E4mLyDEUd8h
zFZHc~E`Y%SERnL%=x&q;1_jJMQwLOMtsP0Dxow!&W4Z7j!@vUj>hezm3$eu9%(PE#
zOFydSJy|SE^^d6p%tMqJ97ETe3BvL8t`*GRC@BD-aJ;rsn!1fU@BumCjFE;5qw4;*
zsR4u&IH{=ZVjPY&Tp>i5a_L%)dOAJKJEW)v_-7Kz9@7JkGPiGG;O}0<*ps>treIlJ
z?B#Q>$6b5$?;dw4j$L5R><bC&_jUptTNR!z
z6e?H*GJC>6;Fd02CdqTdmv!|hsc`es
zV#=8F&;^AKMLBQpR$*Q;4SvUN<4X1OvQoxq(c*w=5Hi~&v-how-=^;;V)oL9VH-bH
zpgf=@iVrHrnw;Fm3dTqEo6@qZ<$)?vlSg#%{v|4uQZ2jVs{7N(Qr*y?KEb@qR&XCD
zVCkDFljd%1OvcAGF+$hi2jdbM+*F&FOWQopOehCV;c7
zA2)BS4h+=(YkmXMIiCGXEc)Lf$OH4cO7CgVOs3=;x)5KrI)DZ+C!*5CfLU~YWa
zWMSWkLH~c<1yG>0YP@B;X?58oJ;zAGPS;nqB^$Vt2n)AYw$BW6ls2DN7nmEeLf+We
zt~ZRMNSVjBt90Ov^`_Xp<#1AS@#zSIj)l
zdrU!)2bt|)swlXtG$HZKIW@k6RQ~+36Q5Tu&*UgR!vVe@)~n)AxUk#Py~3o(g#ytd
zZ`cZDF1>+$B|Zg?UUYndauC1@APG#uB5(>dPOAItO4F$$paLTRma^EY2xx7@0763|
z2I)`Ce!FY2;blGLKp$mXt^*TNN1V~1;*Xy;D
z{=tCIR{mQ>`}GL07ikAF(bD-PV55ecVYz_KR!EwKJ{qZ`cAhAdHw)$5pwjG#Wv#>%
z>ZTZF`G_c+1?_f4Ty?yAQ~HP@@z(&v6|lEcXNr0ynDolFMZ?+KM{l6ezSobMCX_j*
zr^mR`%C_8poVY40#_m(SAW%e2XQnH{bFFMD&3{
z#z#O#PL&mAuMnmRM@ssdWCx&u@pF5}+f2Z>jM}GHu_-e}
z4LTAM64@Nc;A9H(Q=!-=^jJoho4IKO9X1njINB>+LArG}Rm`bYa
z(@XZD$13i(9`2sq;12_}xM$qr->>!j09Z!L>xnSA^3Rm{Q+vq|T8>lWY^aZ3^?~)w?hGVK5WNZpcHjTHZ(|)2onkSi7IAL&5vy
zg8S-c6lh?t@g8?#GpLxNa9TYL4+pd+>q^=B`}hEd$q^>69iVc**rUnbq!l>stV!h_
zko-iWmuCijgjJ}hIr5s9-N&JAa2ZglD(lQ~hDVPL^=*P`jJ@OTFgrCQZ}O$6fw4b)
z!%w}~)zuJ_#L(Cwb7z{S)Rca~=@3Bz3(#~U=jO(EMMn&^E&VGkMu2dbAY|Z#{?51Pe
zg#B2TRYlp0r&uDhd{prv+9~7j9l{yp+a{~N+G1IJs0H;p5M}_O&KlL#wOrA~n+^P8
z-4i)v?WV5U@*tn>I{HVcacaTcJqi}X1-3)7u
zbM|xY-3!matZ2j4uoZZ(()h?ME9H(M$caIX2;_>kizAk)RbRt~Fkma}I@UJ!&n4$>
zGYdbw#W5<82ayt&H4aTD7W6UgN?e$60E2qBRhRU$6!DWTl{HqQlTdu|S{1-ujL=39
z63175?sy7_=rtuu3Sy@?{vV|}_97H&XZw8XgNy3QkC
zNnk!O`R=c_hVna!(Ezjw^AM?l^4_>`F(^~B@?UEk<5seMm>fN9!90;z%oxptNQHI(
z!7#Jb_I#L%)=iv_*zP}=8d7$b5fdXojRKs-7*uT;9N?aG((CA#1#@ij9A9WUMHc7f
z;;o{S3kxphbGNE8+?^;=Td?1%QOa8=%htaKf1MMBr~ASIctjhVaJp
ztOGvJT*d#yLY`6P!JZHccm;SxqwUlL-JJ)U+hJCYj^9ee#;J$iuw~nhj`pvM#%BV3
zc1y=6*0d1tpvEv(4G-j*L0)d&zj>RnGD~TEbOQyTAc&^;k^p=Rs~Bx+eCW&oM9$he
zrUT-|q)KCpq0g>#5?pAhKSo7dh_#uO2-kYKFEwy8jHB))ro(G!wZgeJ1$5mXB>0~s
z1TJqk9vO-q&weQ1t53)?ZF`$!u~andYbw|1#3LH{lm)Z|0AIlXr0~;%dt}jNZQK=Y
zlk|MkC}AqENc9CM(}ri4uhA+XOmlsLU7Kz}0>*adyGjf<2$@rUS%JQl9x>yKy-M+m
zxu0JE*BZyU-!v?g%=EGT0W~?tm4J5!$jyLd(Vx}7xGl|y^ao{kVUXn*(NYaO01TFZ
zrg-9y8c=osW$LhQ2Y^XVr{`3uT;*zpd*+KQ86m!dM*(Z$xz
zn|2&bhN~@jy#eo+O=|NWb)&0O6y6dIN5jqw(37fw>ENDnNN6{CWow(?bXZxu8fJ8E
zGM5tRv-kvbu`jglb9(<
zUM>)fzc5eUQG^PQPI2|Kwt&hINaciu?~CkrqGLh70pJTk{t39nCoaOliX6p&RzZi;
zGtPWPAKD$qd5r_DOI)2d{3@j=OnhFwJJuwa#tx3b%gLzN?*t45G!?4=
z1Cx)qP2XKS#0`Z9flfnRz2(99KL`a-Rf3Z$EO+$GD(?Onq*i81VI!2(0;Eg4limWJ3(7hnbsk^AAjZ
zkF{O)_IPLRg<2)(Nwx-_n>eyko9%RwQ9|eUWjm)I_ws(ertP|DS%S6UQ-DSI%o+Cs
zxrh|j18?)4-cL#aq-&WTK4|3F6ek~g
z5{y&P?BDPl5Ax;@C}y9)t=@Z%KdU(2uAH(NjLTogU8V@C$QvyzwA@|N1D-5xOLZ`>
zw^UuT_@K`Lkpc3bcD&f$-MZ}uu&Wd17GPW(
zzzCVFTBtboiIOt-xn)4W1pMX^dMz*pqaN$uwa%c>s5ork>$Dwic_f5@hRVF1V=#V|
za(E1Ls6*@=zq?737$d}fgD_vZ+Rk23wtrVnu5>RGrGHp8&|yTT?Dd?I#=&}
z4y)T%E-@;O(?bP78q%E=nl+N}_U-7v?`6|PL
zGLtfo4jV8Gt+tLlhBjeKTuu1&M){)C|2(*^z8*cIrotTc(yBL^4>Qzu(C6NyhBESR
zoZQ;WXY3mVJ=J)T7~5CzKF`z05AEYqiebrY*8WS`%Kz9j9I{@5BN)5Tz!c&qrngt{Z8pCku
zhu5g&h{PPphFY}c-|?{e5@$&k6J&|#QdB~QeM(6?y?ns>5J{)w0SHCYL2?(DJOXuy8ZL`ZYp|O%Yz|2;WnelgsZEX
z@9U}`+}B#(l(cSETpPp;E~d~|PvzO?VAo1{mE_WWu$K3(lhid>PpeWKfJP8@LY=ts
z0IIWl!zRZ8Gw;~;2c-%t;rxIefHWp`>Op;K6zT2i!^;sll}A7@Ev>a@C2qbC2M8b(
zUZ$(DkhE9cL0ed;9b-GfP&{#DQdeCipFoSHK5&{uov+XZRkQrFYV2eUnLuh~do
zJhM~fmMZNQb|F%k8<*{Dj>)G6onLTN3{+{=)j?4g@F2;%o8dq;g65ekarF0uNKg`$
zpdAj-c>p7UJ}`4`{6fc_Ja$#8jo=t^dLALZlayh@$?D_OHKyTDIec8cPlSP~BqigE9}jcml)=k-7ZqoD$l%9nHHHGZMYe}GVn$nz$uP;4F{MsNLwk_
z8kf%v2R7VE_>A<5KoQN)+e&qH(u4dXrb`RZ{Gg^BFE(vL2Ec!QBQRx`!B-g#!)5?R
z)=iclcdKDc#XOAFRhQx1uUULQseffu&k=cwUMI%KF|X8(>si7~UdYn=s;3|SU>rfA
z80Ag@Bp{vgSO~8JeeL}x?r9Ds403LOR@U$kO?%M->s6k5j+s8fOxEZe)>c(jk@q?8
zt`IURaO8Hr)^Ww}gg3Tx#|WT*L_I>Q2>R!RmDI-mT#S9%8yztAr6Q|PW&(B%w2>fZ
zU5Rd>Kq*XxmX^7I%msA86|m=Os9nDeqr6z73SoVk@k
ziNCjonx!=Q`kDqh9aUttaogMP_38=bCXE{RE$)G03fNJ~5iXcZhWx?@7FB~89POlb
zkKL#qv$L_b9t3ujEwWW3Sv}%!zj~NhxliIuQC*uL?Ji>>39QG~f*aW<+M5yb@VcQP&~)lnNq<
z2WQ^gj$GMMRRppGI2M%og!y0VYckH3Ax=bR)G}8mD>_HKse!u0S<4SXWkCM-N>J!h
zXdbw8OmJOVs|)QFQ4s+ll^u|%+qdBeYswyWOUAY(i3Dh1%(%D;);8##F#HJH{4-Auk3)XGMPjQt6GSo*}}3_^lw7*X+BS7#o8M7dADCW5$qS0*>N2yP8G%
z2r=)&m(i_rI~AQUIAU&YuJsU#b}z2q5-!xQE!%JbLs6%g(I1j>1CQs`1{Cb&GaBbA
z3<&~A(3+7qFU79KES1kWgQcKMkLVXcJ
z>!Orjsh~hH$y;FwE(8fc0H0yA{qb(0BO7yYduCxT7ByuAOX^cV99>>*OradX`E4s%H|5Ks<3@GIim}>w9zF}mp!`nSbnpD;u?!dfZ&GZZIo7tO
zgVM#L6x7~e6tSjtrKcOCb7D|Zs+y~omN2Q(VaXWM>?xt;@dZRzQ7gx$?~?&~WdBTD
z>}D)65y8_jmbK(}ySb!Kj8*zG*Q|bj(19r;`}IF%O%B}M7ru8?D~#J$&%Q{k*nYv~
zg}*%sUt_o|rnKGp`Iv*@yoTsV@@{}#VF+y9yda+PlUHg@^nvNdtPUd
z+2
zVG}sv!_r{Op1?%X>d_wRo_jaGn({zvGv;!h>hK
zYnQGbFpu&r#xj_kDQaYT8t))G{FxQ9*es?iU`fi8X4fa>(urL*NTDxH#7)FNo=Q1@!R(ncY>Do
zEIkmPurYpz@PZo&bpK@Q+L<5d!l}Gi#*hqW;+Nk)+@wBxm{RT<;}HCj(@@^z@mgTd
zBNM^J@5}J}pSGAHrYCbN!s;is%=5?yUGMPTyFP33%YFWg00Ivzipf9p^<7-nplIBW
zSINJY^l7ER<~Otp`rV^_&j$}6hN++ClD^+HgweF%
zwWYR|ZUAjM(I-@tY9x#FI*ZUr>>A~Q6;_4Si%j(#BoO$deU@$XaD5z9(knfV4z-yG
z@qLZWaWlwWieHHS9wGp*(PCh4p6lMddxKr3?~Xphl9H^igouQFg2uoIc-LY2)#l74
zP>w4AyRENIRIUzG?p!oQmY2wO^q9Un?^62!PO2ck=H%;}^kCG0QUfo=J9qDrq=ygZ
zqh7r_qEUC(Z&1E{?cG*iPC(B)584~!@4ikPUKiVliWD6P{`ARgI+lkY
zlik&Ipgbf;WqcE#QlJCZie0wx?8=y+=hHLH5QTb?d|ilweGg5)5rI&Kb(I%
zpIv$js7g)ctLKtWXQSxx11HIFy>>!MnZUtU@&vg1Vi8=QO#C!nY)4MuUi>kGL@Sbi
z%y2?wSoLRkzMQ`ZODn6w@$Z*p_qJE@-#x)7Z-3%{R=oRYL+W?|JO^3OwqWx(Noej{IjLtX?w2c$_RH{5@{C@%-})!reO964!t^X45B9r6NUj?4%gpBZ_s=d;`40}{Ms+Dt8PgO#_qPXk%VEa4
zHT7eSyqW<4CBckVQc{e}dga>{o7Haa?8GgUB0L^gZv+>g|7<+k-hN@w2D`Jz#8f!%
zFtYwbA?w~pF&>}-X12XmMBA4550FgZwPL}nry-GP5jP(21d;)9!-tT|uVrOUfOhZFkPj(e<
z{W!gU0sJ_`BMyVQk5|W$S5^|+V7L#9uB*v=88gB-3l*M&3hz#B`&BP{|NRAuGrno>
zZ84v{nDie2mtAkOVh{Xf#&ZmY9)mGIe6hKFz94b=L~8f^;%QPp>+zhdt%ofl0C=t4
zw#d;E9gW=%eG*4@;xCB2pA+~orElg6m$18C&y=SOdtRx?|9Em_FnJ@OEHBF%%Gt?R
zIIZ9x@@d5bA7@iUYdGT)CxReY?07GZh@-=o47YZ-+k>cBQR>Kdx^JFifWqzY&>4(1
zMA7@KI^Q>Hi2VU9`=eN21lBhZ9TH*O+6iy~J{P(a{e(dn9iOR5ld)T`UwyFf$_H(O
z+fNv{bAq_uVXVS=BSi9&iLp8m>7OP$Q;V3q)$J__}
zKtkscm{pG0%w%fi-MrHRCVU+i`oUnUcN5&0Y@lK^M5h=939#Y~#b|J+K+`S(q-Daf
zIUJKkFE3mzs$5?8KeY58-M?gvv)1u&%>K=NoNb-x;awZ>+V={(&>Ty7>~is-fK!B^
zmU`#s{k8hNJJgv2T7I1O?om&xPX>?K5rofmXAMv)v85|Vod
zIMaKPpGjpO`!-va7P%6+SDWXtbmv9PYH~PEE`QXD->GkJyxF9wPQ4T~isajHm9I(0
z{VmS87=N_M0}md0E&v|tQy
zFc*MNzl|YHtHN5{F4u}Laj$mnTtPBs-u_nk5*}(Jq7F}=->S;(45_nttma!Y$v@|k
zb`nGN>MmC*?rdsdU!lELG}ce54@y$dOwqEBDELjTbgeH4K5jCoDU|iGl^%TbM=zRZ
zv^zXvnd2|Uxfy}=I(#}cx!!-hhwxrRp$9OuOvpAj!6KUgbh1~y#PC(rLA{gEoTdH%
zp<8O7J3p(z1c<`nd7&dTq&BofYnwnvL*tTrkzDr=A5w2@J>=wrPBg4c{ccf^l9GZ7
zYtM?A`|pzaze_OkBX0&bx6?uCI17fy6H`;AYxRRV7rs~8qQEdJ=WHaf)!kJUe+mxN
zuDg=o9G=m$Qtcnjm+Q^*;AajbcELpd{cxFU;CC0=P)&z?=SxPH^c|g@kr%$Sq*Wj6
zK5Fg`PcD3OgE8Go{CwiXNBj()XOflIy7{H#b>6~^gue8^QcL!?tEj~#^up`b$eR9;
zF?|B~4Mmy8mnGf_pH|d=Mt@ScEx|!wx1Dc`b7{#iY&upSa8}DwL~wm}wY)_*rqIn`
zU?P66{;rcN4MTTkKuF@9r%77{hxRetM&3V1UyblxyYh99F=?jhJlD-G3g8#@5dBWmbDM(2==l@9r
z%vHLgk(h9%ls~ijG}XazpeYn=>4i+MG0yDZyZJK<(1Nf!0!F2zL@C0xiTHDCWkuB@
zr37>)BU!LIC~mea*Ze|X&#gMwEzCc4HX^fa(v^DVeL3`sUMa@{^f--{v$_-6T&7d?
zZ*-kw-{?jHlu6vBX@?=wJOn5vwa(@jG<7KO{ue+3NL&*f@*X!-(MW$;a1D8WO5!z9
zWjOHN9BOSky^;~8R2qlg{Z}2;Z3)TqVbzvyMl}OXAkZ-wr#JrQt%qw*$@NKZkb@9X
z;p|@mO(Im#Vzxhd6EuXTRc-vDI>~PTj9s2#OijAFeWo$qrop8?{9!ke
zK0;P>&$G35Ud7CStmuffM5e;U7a$5DVLndMQ`RQU#mS^?9t0sDVn2~;(AmjtY?LFX
zSl2CX`kP$h7anz-0D*tt!Ag1|1-qeqv+1`yCN};aBh%_J79EjIAHaSwUG^`N%MGwr
zwvb@=u_-M#y=n4t`q%)>sMVJ^VZLsny3!9&wMkHeV1+&@O$^l(~0GaqI
z@*?!zpF8U7?W0{7+Y@#Aqu#}@GzJUowLb7jx>ynNp1JC2
zI!c`^{gR~3O1wT}7v{!3CM8u@R#@}vwT#B{sl9>YKF
zgkIYYxfxXg(@||(#*=uYa!VPLgT_Su?NpDaTVtx_D>5GO{?;by1(S?UpelTWJ*DEE
zkP+cC*W3J;bQTzUoICt$>ow*w`VsO(9*lcK>C7Rbq{mdQE;-;9#6K$4j8v%
zX-YzQ-zZylF7*eLg?-$J0^Cz8dHYJMF{wQ>!QQzxC(hrxTYylK9C>-~3M-^NtG#E6
z5eqDvhOSR{yVg;MThI6BZMJU`AMTv-e(OcXd>3labKS(}8D3Rf9|`}?bLLuIDY55;
zmFx!gD3&ga?XfcRfFN4V^)?T0E+?NK7eF#Xt@1WFW=*ZEdMZ9aEr2|Vdblu{OKSXx
z+TyEYK{i;H*pmK&DGtt@8`z$dz;o64kPaHA0$QA{<$-Db6Vjq=vJiaD3rTrF`vJ{b=fUEqW^vtC#5@sTq_nre^lW6IxyRRDh(S%r
zQ@HS{>ddyPE%{Km<#qdKyWVC)7jl37SJ#~R87e+x{_vJghget4)WnE|)XSINzx$Ei
z%uw#j`CtXB6$NIyx`5im;FMjn!P9vQM08L_AOapmUs2l}Fum
zhl`S98;o=E1#tJVfEphryA)m>aJdN}Ay1xg?3~eDgSMGe-O#Yyusf8`6H0rKywX0;
zp=>zKE;hgKP$WCWzcWqx`x-S~@>+bmF}Yt1pLQ00dh7_32V(KR_k&Ir+Z`IxF
zy~17HasX3(T{+U2fXPRPtlM+R+)7s;!l_-STYG32uc@-E4Dwwp_-;vE-TUH_9;}qH
zkv9LQ2=5t|>Z;!As7?&tb3XaH=Qyo~4Q7bf_|YqhOGB_Pc>eiBA8hxh%n(vw(%nT;
zbicMETD2CVwhyfl)MkfO%cG-RA8*=Std+>GqdM^0ML7BVde$8~5rb$h4^K78ZMmNX$sqE|+Gdgh$~(Zwb-T}$5=
zYA~Fz<49)2E$rN0|A8tiUT`A`48|P7LVsKvL%Y9ooS{MSf`VAWhnc_mCEw+NzSNka
zzq0y=2b~4+cB6fvIG2pI)XYQ~4UYu3fgZ8HnwTFH+F(E#qB02|*~NCY)fX}uo||SU
zxji^+LFxnZI)15bZ!(EO0KkAgV;>#$Icu?vQ;gP|nbuq0fy!NcIBADUlOP2q-e|3z
z*8{rKU9r2qzUwE8jqLnSRavnG&YFer_mgPsS7{kC&BcL6+nP5PnG5VWxp_&lNC{F5
zziagj?6jKZ-dS0|Gy=P!Q!{k#3FaP|Iii`$#khA>E3MLdty4Xcu~k*f6+)?49h<&C
z&z2aON}BiccP$|u*a*APNgL1DH=SmYlill$WcbNO=4*>f7?TqxNIpdeKRKo8u(Gwex!JFR^D_dd%agTy
zFrAY}54DZ)ABIv3I^KB9UNeaNW0TTcFrrh9%2i$;?m0+IF<4eU$}5XbgP5s9`$B^r
zh{;Ko-l@;4+qIF%(@jF`=bgo}WFvLNbqOByXExQeZ{Ol+_JiXaW0OS&z|W1hkOUP`
z+k?J<{_GniD|k622dbq??>B!qt0e$@ZTFVGL6NFzPFywY^=
zpP1sn5gaMUG=6#+18yIe!dSY$fe&IM!RkSGo>(^mx*w>hv_ic>vRH;?+Q$^9jQOtI
zXpHw#k35Z|&F>-AJ!d~ds!h9Cr6vsu68gRlaAgOKnpSUjz{H)LtgymX5t4}v2HxQw
zRnlBi(odn(;3WAcyI*!`Xh<|&a7_$CRY`{|@ZTrq`HicE>5A2x7}`+jQ<_A%Oq0GAtOvE`G7AEUd%fwub$bdBp7Ih
zjRqPeA;OoIx^`5DznR
zmzcJBx#~j2Up1DzjW?T;o-E3flio4Jb4-(L=x#NI)=dW}}6Ui_s8
zr)28*1MKj#*ijDRY}2NfFWooNBP!QZ3THF~r(LwOeaDU*oV>j{ONPx+`ZuqwfEXjn
zov73e`$;JL^Y5!qKnyT~jsv}b&wG5J?6ts9OM_08d}Qbr?BY)lT7>J%l4*W)1bb8V
z10T($eQ$;z8JdpXzJFhpO#6+Az^N%M9(K0^WNm7}J+L_(021I$E(}Y4V=3$yw|{hy
z0MPhrXl(k4yFcAJA3vl`@K3E>#`mJe4ODM|II{m3y&AFr%lh1b3Zv7;gc>6cLZiS`
z!X{fUcQ{xlR^W0azB`BAjliH%i)i|wu~vYv5Ox|7ADaK?p$|VK
z-tIL=1g8yV4x6=Qv_rB-wNFakoYU)NXWS`T?F(Hp)SwG3qU@@8)mqGYZMm<AhrOA(fM&}^~FxG!KVcDcM-Js={I4E6AJQSCS1)VwPCQoc1
z+_Gp}NrS1C->>_g;+a)Mat3<`yXonE-6s)aLEL?D<1T{T|6qbUh38ABVn_yC&_eXO
zqvEP=C2|zl8ySmc4nAjwp9#?0=49t5=~j)|G(h>z@)2Is1XH~oJl~Gv04GK=dF{)=
zgL`da_xDJp3^37;*$>}W`qjEk;YKlF)OKJFHKpLag{^I_Um)zigD5G)Ftjj{`3i7j
zw~KNB*?L+?6`bG>5dx`FBVb6Xrz`Ngcif98M2{g5r*P2E1YS^viNkzso
z#WN1zeB^@~z(IpnI@N|1+kK*LDyHU})bq3FZDL_Mc)yjRa8Mp*qBi3BDa;|aZtjX>
z)6*OjT0q&%%%K$3weJW`P>0?bMYm{fHDiU)MLP2f@yf2az--4i$+R0jVa0Wn{&t-m
z$C|bH#o4SG@jhIcN4HLme3wm>enG1P8kPUCaO|n(63+p5=1~I|1F8E~)K-Jb
z1&_AVHZ(nE){^x)S)j7}cz<@~ToAUd
zI!e_ecF~)^=AShiEj7bAp=!Eb9g!l*ty|BpsZCl3s~5Ab1V^%~P;f-KaiRTzoMm;y
zq!la{tgFy`two%gbX}aNlh;D~m%?l7jn<7NN4KYPbeM%sQ+2>QDH+SR&1#qyCppdE
zWy*;Eb$$9SJ|4WJ3*@DpORry;USl%qddyl=B+$)Hkt(5zc2K}>HBR--p|8IluPsZh
zwb2s4ul_`V(FNJV(b1u$CMA7fUw{Y(!zYPKVt`V{WLG|`JRk1DA2wSb*4inTY>Rbo
zdt~})WQ*o?tqqs_I7Gps)9FBm0S)IOBhAW)+DbtOV&-NF3fLLbWZwTdR_ovLbeom5
z?dwnXP3z|so>z|-;B__Xxq3VM#Ui0aC~;;4<`V(_%k?8Y=@i^bQs@yVF}t^qdXXI7
zoS)jT|MLDN9C_#(00k`5Pt{zPKwJsF+)jP+F`_3^_}Zw+9(F>K&8#zHhfCn0_V(n4qI1r70N5yo|udqb90iF
zo%mbg61iP%IA{#AlU#hGA5TmB4I32|j0KrIZ1h`Zz%|mW>{=!qXyC38Dn4RGL*l79
zH_ABo6L%Ig*G3ct!ZDEeEDV4%**}tnFF!C=ohzuV3qPLOM#SpM!%HevQ>?$?E-tcnk40j&k}*-f
zWsF1myD3MbtE&W14BGl(?i-+}hGlVO;Yc8AT#t`J;GKW|xat5#%^*L0Ju?TUdZGK@
z%S41T%cZ$`Q}di^L&KoO{qbc?9@HzZ+Su(MQ(|tY-oQivTe0QH5o%H!mo@daa(k!r
zV=h?;e`bVj%Qgn!K&!c=0CR7eh3DEY-KcZIKsCHp8|4cMS2Tl9+J`~G*!}tMuz&@m
zA%v{lhyA)DLW!z-0snQfAqqfl@9B3x2}_yb9phW>m8k>MiVXm!OkRklu1|+G=4D;k
zhrh@qcC;m-`lF>9X!7jBLM(rH#Il63p?ra(I&-am1@8c2x^p31byA(#IceY$?-26x
zusta86#dR4dLKeAQtf!-TZkQw5Ontn>unk4Pz%8g#2MI$F8gCLNpvJ1z%W^nty)W)
z-Y^TDJc=XpKmEGv=>K2qTyGC>DXx~e%=!vsX2O5J9FMr6vD7C!*U78SgFi6d&V^$X
zgT#}N%+l(PK!a5%JJ(s8zcuF5+;0q-@@s;#S+TK6W2f)1)`K*jt2>lb9o^dZBm(Jd
z>~aOP5DA{>0BcNo>Nsz%=H!6aQme4c3b+wrpU5xFYz0ntQClw?q6@IUACfBJDjLquk*I`9LsUfpVF
z`mh^MXxk_cW8Yg-0rhgmkj$NT)^u*Qriz`NiplKmWj*~biHnt=z@y~wo|Th0kZA8)
zRbr;=ZZ|ri;t{3su;Smymz5-vc?h!5ZRZuaSqaeq1RYo$ZTe?m;Fl4kR9a#N^3et0
z!0;Xr#n!v|8jc(9flOJVZGqU)YBmZ6hAP*=bI(mrfzV3*QTOp7JUgZm?P;N}zSqaD
zBcn6e-Oo9niIQ%{;{dzmu9(lYCVkZug4u^Xg&%EU*dIX~F}j9FsQ*4pdt>Y(mK@ME
z=qf%R-(->vqROtsx*>Za>``0Z0^p?>s-=81Uu@?I%PVBqPCf`)a2-6%c&?e^~&hl{YU9
zo(hAP9CNj&`&YoDVBW}&zyHUJ^1}C{%PL*eW{ito$&x$e>aM
zdC!=bj$U(Y4jwOl&zf4Co>K!ZJ4RPB-DHFIET4y6bNrnNE}k;LJbG=+jn2s(X-qdB
zk_M9yiYwTR5oLCK{FK@g2|7El*_s2Yi{s&jBKj@xMybZtpPXLxj%_qnp&OSu7|
zABnZJmv~JZj66FMTVEGJ%LT2h#nrwa!l?+@=TyNgDfN7L5|DbDbV-qAMR`Vp+|Mua
zI}43w57^IKS1ZARS5xpMaoYD3UNhisb+dC)1C}=#UJOF8Q&!H@(=D*mmc4p2H>JM>
z!2Ae81wd!)pg2E=7_A(Ao9C|9HC&g?KrxBG2a|(;>}yqc+X>tHdBaZw#<$
z_0x&uJEfki*nmc83o|AXutAbrq|yPn6?n@3XRrpf5Ya!5jS}Ons!Dq7>InlgxV57i
zAYY^ZL6;R~#r|Mr7-^rs-RLphn7JlY)`N7c21p~H*O3$p;ldBdw;#2Y66;1B=4Epa
zHx5cKs3?Rmd>AVBrbbtbf0X*x*X(<2PO5JAmz#9@b-DJROTCFH6kMkIX&QAJ?P|_gzo|9&U*%%r
zeI5uel&k$o
z;7{@cjO)%NR^_=1y%BPruZRV+Il$|u#*(LLo?DqN{S-gV{P6p?l*P?BQM4R%$QFEy
z^TboNnhdJgyS$g@sXYZ)9gHeWEv8W;vHCK8Bc=#TH7j=CUG?VW$^8{&`wfO8?z+GG
zY@8jG0%)MG&AbU#lYPFpu`B{@02ZZGuZVQR`7wwU?Z*uH`?90VBB57-iXhAnzw-N_
z=8Xds(X|!(-PyZ*yvQB_u<0*Pj+_lSMPXOV&iB5+0F*Nu0QBH>U}o~9!dwEi({5c_
z|0nr^kMQoP<3!bw`N^_OC&tyN(&@#0Z;J8geg%=cco(mMgaRUHcOc2Llw^^vfH?JW
z%I@#k^Zuyr?=8z`GT)DT#fZXO4FR+uVy8SI1k=`F!8dS!FfGJcZ@wUE&xM&0h~`0U
zidG2h)e<3sg=6U-=rzy(=69DcgtnT(N$l(ZU<5pBLke{Z04O47%V*o>rePDEF^a2>
z+DfgTtU3+G%%|Uhv{w5$q{r|uAjHhUvb2PW)II+zx|l^1%k~vHaYv`-C~%O#g9Gil
z)WUa{h*0_|pmUFbe#p4c-qL0eCj#jLiFv9yk<5AvR&DU9;Cw*b1y~MvC!kMBwI+Iy
z^SLW?jQx8kJ7Kb!&q*0fqz?2Xur1bf>bUdlU-@
z^-_Wzy1cu%0tmuLCv+z$qJn?qJ2F6&5dZ!cj^Q&G7C^^JK;3*uCjw$7ML8-k#`w>M
zydt)e);cIxEuL^!@4isF5Yaw8TS5#~J-y(D0qeW1UVYfyQ0$j#PkfaXtFdDF$}m`Z
zAfT<&H4=jMB!>OA%+AAaH6lFxPzS+Jv>FIeOY0#{rQyHg<9SWh+pzohvlpLkwH_h@
zse61u=VOE`80W^wOhK@~|HnfgdIdTXkd0PH_TnnZ8*8~X^6xJ%4M=<@fp6kBcK+au
ztDlB=Yburg58kl-bzZdC^sM#g)6%v_J8S`^_-P-td~wVKyC08cYqL&GdqVqR(S+}%
z_wU#VfvNaeo-;jN+GoAZGjw`s`Z*niweUw-wHbszyKgEI1l0u300Ho-wy7x{U6wz|
z=ObTtet5G}TRA8y$paxy6x?_FN!
zcS72e6|c>-C_SHbyLt+fMs`$V9eGJiPphpyoo^9^DE|P|(4@{!Ul=qIlV?MG6+|Hv
z?LB>S4IAoqg&-FJqG535E{x8!3(_0{pJWbZ;JY?)CU+v@;B@aR>nrwS6h`;9
z`4cVl6=orEy;_C4@UEL*)c-TM`0pK==DwSJl*u%tWx_5l+|Yon%ZzUeogg4h`^J1NNV*TTzW81=d@4Y0_bAc?&M`}9kC~bK+a{)32Tfc&m>B;{dXo*
z07F`N{}TdR)4*sKt+GEr103g55rjF@57g}o#gWDO3PN{r4NX7pXQZK7lbCy2$(As!
z#&1aHh$e~md}%If4jX%Z;(Wft%0Iw*X*t@%OH1qjYMGw?-N{`ZFzww;URyEN7uDqg
zmyW=b-u156!O(z5Si`}d0yB`%`$k5`lxN}M+OskL9X&9XZKM_iwKhF|78#74lU?z(
z#qWa-bn&_Ipnx+@T~1z9V-ZJ3m-cO0TvgT3slNdB5q#;BOWF1@vJNPKo(?oLrOskz
zU`PLFD`1*DgF~EfM+N4Tpa!F(?pdUTFSsbaK5e(A*QTl!Ymrw=z)0Ol%^l(b0j~9H3J>s?p}m
zaM-RJa9VMkwbNqR0%5*S$NroX0VJX5Ycha3d!ljgv0y+3`}?X9t|S)T_skPT57Ol=
zh;CTQ4y>w-T%WdjA|I!t^#(kNGB1q!(`CCE(iT1Mi44xFHs&L-ZY&$X+kiO(Go}?q
z5)=^PQjmRK>#!tKUP2|!mbi-h$5Z?SyIUbF05Dp1yOfT_g$)S9kAMbc_Z)~34(+KpVjPpc8kJ9T2NBY&*!e<(loc&R(D
zdEkNL36KvuCY*u#=LS02Yl|s_OALNQSn|TeIHwwzNH4%SH}A15tcEjh1$4N6ME8RE
zTIJDBaK4}s+jnRsM}+Mw!pg)eP@8nEM`ugL!EN+0lG#|QPUi{v_|Cm(yJ-
zccx>qK;E{y5d`1Gl^g{CAT|jRaPL46_g&q?I10>5G>g6OYJ2z7U`2w;)|U&kU)-MF
zwCe;rF)YYHHe{K5_ciJoY}J`QnNGURu2W|WC|(Bjl|X<774k$7UF?12RUE+3b$J`o$zJM>2#u)o)~6!zr{
z3O!?3nJ#pOO+7C;5a7vEoqkjVkl9Srqz6oj_HEyptFMyQoN(#>m;AJ!7c&?@BRAh3ba4y2q}
zOU!Uk);c;}H*A2qaXU2eSsD^8BSSR+I`hPcM7S%ZJY%~{9x~{Pr9fW%ag(h#~NZVS8H?$vNF;zni2+@BbB_QL+AJ%0HIfAH0|TtZm|f4<+wZ$9e+yTSX(>O;R3Pun
zJm@pM1EOY+rfiwg9C~u(znxA3Qkp5Sg~6-~R9ve-;l0{-SOs)A76N<6OTDL_-!~TD
zPlLF(eNkT=+?K9z;8~>dZkx5$1(Kx4W>&PN=@2OOQ$~|^QBIIV0;#-eIU|=N=^aYo
z$y-jd<`iX`LCa!A$sMbxN`uH5HD+H&A@c~*Md+?HC=6TDIb6qrja7z-k
z6I5}{_}E5F0kJ-DY^Ads@D=YbG8urz9(a7`3^)H&+4AUYqzC?rNTxA$dfnLMuH)&M
zK?Te8$=6>J^e&IUc}3t++Go6c*#SYOL;z0#jN0(;&bU}$;J&?cZmTbxaU}}{SOXLj
zp`Xp7{$F?P6*Yq$1)>2nxkQX_0>bx52Yq2Dfzr~fL^M(4!ql%%-ms6p+3<&5gWKa|
zih{6(2&90r{=@Pp5J3X@3=k{ksKTq~YCHz}QGg+v>Ab2-?fsdL8(VbYOV%V@i3aQi
zgnU-Wq{9}91XfQ+B;=3DSJJiL}|%KXcHy(
z+~>d_w;OIiP6X90GlbA`!L@78
z8|$`?7tx$0JwUSOZ5hOXW<|3*ID{R=kch8P+uVR`lxbaXcJgVQ+@iaVq+>Fp#}T5W
zyIY-~?OaX+Y|97}j1+O?vcf~dai0TZ}84BAdiwBB2e0tm_SO_LvMozUQ63FnmwEQ-i(uoF!{(JOu8Xk74%U`TOy!YLMPwDvrdeyOQfC_gs>K%Pq_mN~V
zQM>ct5AkF(0A*t*%dsiPF)hwelMmrUfMj<4JTj+E_6JiJfXK=!36N(pQU7h>$E`~e
zx!_cYG}{FG>xk*KOeHi6OxGQdvPX+JlkZtCi=;nJe<8UdM}lIa{2PC*_$c*>j-NM7
zW-X+_gR3+S=v?Kl4MJ{X+T0FgMzk}ICN+D0c=0%)aRY}$_*{JI>R2q+Mc5_h4_9fqQ*VS(|&s4z6bU+MUHh30<|2WFT0P-@lY$xl*22y|IyiZc~
zbJ!PzaiZ7UCGpmKBuH*z_kfj_zt1lRHE%aECxAKqEis4uoT)>)STJ$QjU>W
zE>#+8;rjDe77@%j8K|)Y1Q%Zb_9G*b^9(<@H*cyac(X6gBK|n8Wnx7DumOf(x@v3(
z&P
zE-q(T^l5PTG*yPL1`z#dmmfe1V#@3#%^_1G1A5-
zFWWG+ZaVmn62TK$pkrNIyr^?E>gY6kA+af;gb*!I(}x%ogd|#X
zRaYGTqRQ=0>pu;Uw+voD8x7J}y5a{p4Qc&4XMBZYwu0?-VVU2gvHO8i2PkxvT95P+OSjTrntbWQBI+spC?NPD*(?(2
zBEZC0K1N)#-2#)&9*j;MJ%+Mv3&ZBqxI-=HIMR+iLI=L)EGLIu1peH?Fp&8KoIYln
z&MG-ptjTmd?NZTx+2>9Fb4R7$||^mh0*Z1-a~M;?CM6vy5}hj
zUIyc>HMp`S%{v_eqLS%a$O)*Z;Koye$3`*l-a-zVf@WwZXN)h$*^u(QC`hk&Lrk3C
z43nUm@2_GTKgM0(cG8cSPeXZroUQ-;qJRT3yk7lT*#B@uh70zcc%p@C4O(N#YAi1=
z%13vxz4Dwu#%>>TyhpY5xDyvTtkoD&S8PeF1FPu!G~b)I9Y6e9*FsAu
zfxkLex}pe<;zSbyc1!|iRiy-o8!5FdpiFPf_3{BnJcj}4~dk!Uns
zH&WbsTomVo3@|DDSZDq6PLItA2v~sLOuc@R3iEkp2JkjgngWx)7Sg(AAN&mpOj6Z~
zBoUlCa%c-|FG5Z!%;zRi5WC-c&W|ZdFNS^dZi@iO>v9_bR)yMwf)R|MKJijV{;5w&
zaj0eime7?-@4V;VfJX9kvTm>d>iM^)ZFZ*=J_391Uy>bD!BbEos0hGvwGYf%cCJH%
zw!jx8K*GOh%j%qmd=)5q?4m;5cSWHfOt2E%8SSuaW&r(sN^)OGJnXZp@l_MlUe+H*A
z@JA<7e}G|B3FZALo3&%r!!`J~V|n754=uSF$CttDAu0tev4U-$eCwjPd6|GoOut?jVOI*KRus9ku(Rhpr1=t}6x)ebH2B0+<@#&X$gfmTd^%!vbH
zp7QPwao_95#GlKHbs-h=3r_q@Cq6J{A@(C|;sVwXd|%6EX@(~Z51TXj!oH^|XDEPd
zK^s(I6?p%1ITAtY=s;5q{pE>FsypVsoLnsKpWE38hNKLb%>Ag1h}kM}VGe5zSotS`80LlmN~-x3CHPHrMp(*k}p#8-Pg
zG7rQU5J5l)jS9CkUiDcfP#Wk%;9~eg>ju
zfI7tCh^%t&`fW|uGpP{Z7Df#Xk5w5(xiRPPEtrc_iv6iT
zjEZQLswV@j-}hSTMDUTAr{ygY!Uc*(qt?HS)>F#ogZom@e3=N}LVx61Vw(v^8(R90
z{neDLWLU2juYu(SyzC?C-ol&7cb*_~((*TC!{jS7?MwQnM&TezLwqCtZ)sF;LF{Cv
zVSl=ht>@dB>q1y4HMsn`@o*T5t&RE2wJ!6b$Uvzd+;*vztsEQS<6c{-+zbIw#m7(g
z%Tj7@x-*A-?td&FcGd43IkB7WuAL=O35op<>_R|>g2FW>!^$^1ZRQOxD
zmw#a8+P8^!fK2Cj1d&tS&rGXvk+xq?1#~^R<<2|%x
zMH|A30KeH3SlZ+>;n=r$fT=D4q(yx1*>LvF=Y8!USAfmG@u{xJp2~JZ(Rio@XfWy)
zW=6Rn<8wmZN^@LA_HSvLKve9t)Py7Vl#pMZY<5NzzMcvIfmPE2c}7tn%|W|{7;hX-
zkFwcRm{^myhNX^twt0mnx5MX)rp-*2EDVf5uqv`JbT
z%g+aaQ04U6(b+GFvfyV!#ww`5N;zEx`2n8M;PLq!0L&~w>ZPTJjj=pA0;xYw+^k2wjTiUtBeHPU!T(pfe?z6p#LqB=i2_TXk9x~w9wF?{V;L`
z%l2I{0f?D{+i%|eJ$ACKaQ$wvOX9zCJ9@Gp!B*A~@!XNc{(w`P|H}fDqvL(xrnza=
zYpv0x;#0+zXS`{AK?dKZnY3j2g@d^LjIyK}(;~1xbQi!#us}4Z7lMIntRT1uLM-4e
zFEH1DT}A)@`4YHEvTnw4{gqhC1q1_tgXiGqQkzbFJK|i&To(}=``b!1mc)K{oN5df
z*t#$$84oV(+d1)lE$!)L#{e#X2me`wwj=G|SC&qz=I-b4TeAVShR{Ylh~WX(?`su;
zP~g1)SqYw#0EUzK34pY%kyH$zKzbRgaPkfZb$oygA;FsODV=rbMg@SQzJt%p277Gw
zvupH#?n7_;?6QM5#~qpq8M(5
zq81^Ft7YBk5GL|6?QzvMnRX&>XSk`A_XB&pWK16AHyOJOuWyf*g
zLcMGyS-1VHD3e;8c^sgje
zV(UKRpoFS6CPq0Ux_op3CfHM3Yxc+alEcHoZBu3G
zIomuMPZ8El#y7n){doO6#%#5*%qZUJxxGpF$lsea);zZA)D=c_M`T8q%$&-LSc&8R
zwq`MAnhd+CiA7JM07oK+%M+UmZ(4Iw&!oEO@<(p0eKq(MhdlV-UO&+=JF4`_v5}fP
zT!(euy~is1IAA9#9Ha`Furzq?YiK>}rD&4yaeA+1Gi9oGUmkj5iy0guIlA46OTXG~
zI}g8ULpb9KX23HiZRHXFK)Hd#I_dRn+OE!&PpcW+8OL3^Z}MO1fcS_F)9-UuVt?C?
zV3l*bbVabRSq3#+6{cs-SmIw{2GoW9=cKZgdDiuGvB)|Zht~mbFVz%UXps@o1A=^2
z*)AK#nFgt?7sA5s4@q2o?RrKnIN|wRb0gF_R
zal4qWl^g)4OOV4*&ARIEoJXU^U#uD%O6k*QHgpGf_UH0^XiRxJC(T;+fnb7+(47LG
zUi%A&t5S28@>AIAq!^KRzl-qJj4Qph=J2g0UQS)Yd
z`fDd|3SvT94OY$Ph5vbxe*ur`=;@;!B@p5znuMQsQh7Ky?@c?ajQX@J5nWQ6JwrI_
z2_nc`45~Km2{(^?0jgu$imo_BjUbe+9#?ujJ)!*6m6Po1370h%2Bg;A&7#Ao`mK*Z
znDI<{!U%bJn*XW>#yavXT>FhZ2=Q`%7DXgHz*tC|Y5QK|OY4Mea+~;#LvmaFgjKaI
z&Z6s^Lzedo4$Y1&Yppehx1ZnLIhLDq84ueFCHT?0L@e44TJ^}}on6Z<{wlZT6G?jh(WUNFk5bS0Vo*JYrgO8Q4Xoyb~w$D02#zTM1prIBC7#q$whv
zi>*YLGP2RwVnXSt*F{Ji#TaTT9Xnc622SnUc$nS$aNEU?u{z$f_jgwr&%0*eWG11}
z>_yW`>?Cw{h4JUqSy}6{L@JXQ)pbCO#vNpHXSF61S(r+sOQ;{Arae9asr66KkkY@d
zug*9R4LbC@c5g?v**WTF{&GxV;*@YP?cck2~$AO$+ef!q_nmu*KY+)Lwu;=P=Ld3{3q{lGc0aWO(u_pK~d=asv$4UL;$>3?bB11R2IweE)2AF+3HPL<@*d7I+@
zol3ZZ#j4P(_+xRH1mXFsrvT1chY^UBB9e4sl%vg4dYo3RW3-bO(URvQKQ=W5EwIFi
z5jj7k^*U?TK0V_x9w!68=0ueVBtOXvhqaLrf5dZK+K`4oD4mjD0w4j;p=m-I%z}lK
z6qyJ1L?8${|Muv@gs`uZx_({#sm&i>DZEU@7tk+u~CJ{Xoy_J^UC{w!*KpVd6DkJR{X45HV$ky3q1)=8;im3qwWa8I_=)f9e6F
z8C1-WKT}NhN2ESz;y~!m^E?(O+$MU&Id3ZvqdaTMeX=w;I;PUhvTdrg%11P5&iaYr
zfN#fs9JPKja!8hq75CBtA6>u8&rRtVJrSwD)*j8z66tKXd7hMqu>$q=H9FofzcaH$
z=u0D6A!CJ#RjfxmueeiI%nC@i7_>FS`dy#>V#!#Q|l5=X7>oCR!
zk|T3c>IvOCCN)qxUqhIEGWjC2gLMMO8W|$E#9D6B0?74gwaI{eX#
z2`8;1ZKCkLy3+A>q!yJWqqlFO`KfnDt^d_?0<;8Qu%fXCba2BNt)Q<*!!O)ELxBcU
zoPX_XrJ_e*uVq|p_IN1UY$N3SOF_2s(+-JDIU(c7F~`A1UpqC%-vDz#3)E+31<&Ai
z(D`483@9I{#&p~eBAe$EQoIPB&5%M`Z8X!~cO+jpMt3@Mcs3(!g>q`i{4yuYNxpvk
zkU{zP6})r;fr?w=^VJT^2LMsi+|Mw)8<`Wr+Ki_kF1GDSCW7ac%Odqh$t^@bV?ekN
z5DKA@H+b#LIoxvS1fC6E;Ij;h2vI1={1A&KtmF$fk|5P+;dGbF#YZ_?{4|v`8~C1K
zekHQ9flR5OZ^GYM27d4*wmVCpAi
zj0e+&$o}TAJ5J8Z_+?}63o|e=hphHbhE4~wtgm8U;o$5OAr(@ocA;@fSg`j12)@`
zs}%SMVvYVV{fhTl>I-93Ygtn#Dg@VtJBDhfaBxR7d&A;9KkM
z2G-mjIr-ObJ_>j9Ab#{1L%F^U#DuSVH+s`&O(p-SrHY<3m2AA(7!b(gc`u{AhLGHuJ^-CFe9X~^AmG*K5cP54+1L`T34^=-8eZX`GPR2p(^P)=Bf
zklacW*L%v3`*j48XUed@z?qDcNKLyz<*bWhMc_khoOf~J>I_%Yh(JJ(h$^>rli;*>x>rp!
zpDrd^WBLERM*3OyA@Q>U9oXJ=0gAQ5Gq``KnP4$NMM&$f-kdljt26`@`4(|*_j)>+
zW}Vs7t5wDX;BXNNtMtm^1(cpj+6YqqmuE_=zuB5S-Od_60Fb#?2Vwp76WyU&`*PQN
zfLTvkLv}ygn&ztLCqTf5qQ4qKY(fBV1TJKZ*1st25HFPVKtKN%Ith%S?N+#9R9n=#YMy*5h%RM
z)f8JG4DC$5x#K7C1ZNbzLh(i42A(!H4Lb3wWp@fw!`amFOaf1%h2X!Q-9z~XWP{&}
zTGf+DQ(G)=ZJ!aIbdZce9*Ys#sEW$)TeQvWYE`{*=^hoYe0WLuyH%7z~j)Bboenm`$KrqP@;S<)bwzxJ=;8Wq$|%q
zfs2aFaxoy7H7xgvleT~Mvy^%?6hoXlYl`HEZeyXyJV-JFj()o;9HW-vG%j992&`mR
zx0C+PWrF^`yN%j$QgZ6p>oO!O?uGyQT_@a-ExA)g1cWknH$FuX@gW4A?o2=?)meCv
z$-yL{#`@3XM-r|*75|MmSn#Yz>7m5lcPyquq?J4}!1&R({gf2EH87B13jZPCv)gypd
zp}h9h;yd(>A1WNSTB8$Ue)2-b!@ur?i0=71y8$zvdH43uo-0jhBNymBJO8;UWbwaL
zXu)37qg0Yp_jh4Ekl+JYCYe)vtOHHV#m;v0@G}IoDQG@aShhb&(uIxq4*tJ-KZ?-M
zEaLQa5d$KFMF2CXua{tOl}_j+(uweoDXE(O;~e^hBcq+hbq)2Uac`Orrm4vUDsY;Ja%(>x-rkK%g@_0wW6vu8
zIe38rz<%Kr#jy=?L8JBRG%m1QV>BNbcF)WtQThHA=Ho`IVYfe9{KjjZ?Y{c2me$1~
zl}iC+I3;KZ=8UWU=1X8AdzX+l`xz>(KI%Er6<&$gvlUW9>YimG!0w1W|7Z-D*fCz0
zB#ryrh`OOQVFV&NLci;K5#8r@H~(C^bvO=Vf64I()0y`^(aUcF9A3O|pgJusdV)<<
zo&@FRZ|CTncf5P;^O~)yi<}<#^=fQ<>EqO7E@PIOdm!-BQ5Y@Yaq2QtF+mcV+isadW^z_M+VdwZ#7`?0P50?2Tey8O!T
z4fyrwXp`_x(*4vH^IUo%iP%C^4o@(8HJ<`Q43-P=FiHMceAwTw)!0s0I2q|4vGI>g
zozmIDh+Jgr7n2q%(tIWu?;oyP-wCJzSb<%ozWtD~ey%6<|7f}js4Tap`wG&Hbax8~
z(k0zUH%NC&cc*kocXu}kNGL7R4bm+V0?L10@At3eTKBH27oV7CX3ySx=7c!JqrF9c
z-g@ng5xPe3Ze0AGS`g^zUc~UBhGpydD{9PMHtC^g>qpnLN1@u$5uTGeRAqGbxK|u}
zy%Fpb91h#JxLTPAr=RF@+g6fr?PIp(FHQ17EU)3I%#5p$@E;7`YNV#5AKvCm(ZmfC
z(tOd`Gr>$}7+>rxq`INQ0zj_a&Rsj9XoPc{ZBe#9HHK?Dmb(r}N5HFr3Quyk_QS*g
zCrJa3=cKkJi&k)POG^0QQ@n#jC4RvEH)IDEvx~DLdr-wc3^z`{CIz)YE;CM{-~(Bm
z{emzCv?ZIlho%FV7?$lB2R7DmnksrBdnFVlJ1Tldfm-QrbK7T);3Zw^JL^fxmPv+d
z;Gv~kef@SrbWe}{U(l-$pVMP|f?~V2$37NG#8Tq+(ZkXzHnBe+mS=C4q3%9It}t-0
ze*%{Pv|P3{qJff0`6H=YC@COUwjaP_h~xCXXFiq~l`w?T*O;FC2Q
zJZrE{iV9CT`(&>@}kFNbHL5RR9iSb69=(fkM<8xRST
zkmwS{WE#m~e%~@enl8EiQ`NtUW&4iRK$+Cui6vR$nef9I={_99QGjG1M;rY`6bWc7
z#6{_Y^$s?9|d@qNF3f5D9=05r%CF}VmW;NmFKqzM*CeLEcz&mqJ4x*SK1trQC2<~LvW_iL}u9O}^442fNPzRdx;
z>{b}qML14|quhC38*JRbNrL{TBPAH17^N7{WSPq6RF1*Jq7SmJ_bXaFcMPwEt(&4@
zC#ummYWa$-6mGEcwQs{dA_V;diC1`&$gDQoAE4aR
zO~G`U=?55eP9-;B8c&h}1s@L%6)xw%VH&$jK+_dq(CClYVFP)ms&m9NiQ
zR9A-)FMQ7+{J4d&19p_rSI_SaL45ZGHu^2W8f-<8zfttLpRT4vHkxnCPLaB*5xd+)
z&`s#qzvF)rs}Jmo;nOxp0%`ihhgT3x{piM59s=5?;P4ITw>zS8x*(WSxW|o0pbNQ{
zA$t1@q4m)lRAv$+eyl0nt(J@<&4Ls4qU?!J)T5*}p
zIc0eX-C?&%Pl=%E;}jdu^L8=d&qBbKDfxr;;6t53S2(zxt*(tftS9aQy_d0$n;rYP
zwqJd!Dx*~^nlE9~?RFc!FQ+6SC)04d>73}=(tCmq`j0KE!KbPr*!ca*B#RfZz3UaS}CtX8MvnZnmYDvd_z1(PU18)}JLAr{qBY|;KD+6ZT
zuh~y4V(4FH`)d-^7Pjlc_c%lT2McVuyW|PD;(6#1aD}`yLvH8I8W1amTz#ug1u>7A
zkqDM+bsbzEN+|l<%FbRcyTYuIt(2O=f;tLfA%QjJ8N@>NGqHE~!S&L!d}CB_jMydW
zMDZd2b5V8@3LeaQ(|#kT43*kbliue|G@lxVM2p*s2nW3{0cf`L<}-piiw+EjC~AZ(
zxU(+7-c6jR8^@>ctNkfce}A$tv1gT)VzaMll4YT5Af><5=t2
zZZs2K<2Br*6u{k}!O3?a@o{5%rdXH4E}*YDc(QD2?<3O8qQS7keBJCslD)+a-Xe{XJ0lh`
zfE0)316M~QgmW?#h8lGlv?u7eMQdg|&vk()e5jGym|@
z^5e5C>-Tvg$mSF5!Ny(>F7y{G;bQHi6976z%u?;hj7HrE#i4w2+tg|+8fC#%c`u2J
zZ^kZHpQr4-sh)MwdJ(Z4nr8S~iTf?Hck2?i}zw$P7_@4W!LeAG>r
zM}=&&O1=IsqD&DSV_f)ipc^MOdj1TO|8*k2-CO5MR=wzok}OW+55?nvgFcs9QG{{P
zZ{^g#4Ug5q4xo9HM9E*?_S$-@r%rlXjdrzdZ?MC@DszW)7MssqaDw71u^4+xVmp%j
zCrF455SLTfgdylldNT?J_-x8inO5(0k6bP-)!+sl)-Hzx<(Bt?z0FnFKYaQq%cOU-
zZ7`nhQb|*gi?~``+NB|DXePp$C68l#2#NKaX96<^-W
zkg-+MA%SXb)fwmC2PzkLpSJ`a9N+`MgP*s%)mD7TGu@;T8m#&)Up&H@%JHfqGj1b}
zjR-F_NUp%sP1>0naC9SgCbixx)@hfm1(+v$_h-kArQ+BhV!lGJyV*mxj7ZWA$K2d{
z`*LUG*7@z3f!tDimIkBaYJV1U#ocaAn2qq}PzDV=Y+M?li3z8yXZvi7e3NWSI)A`F
z$agE8l@J+u24&p=xuNM8KlC070VRTLS5a%^J8BtX
z{Q?U`?Thb(QCG_c0}fMHAQc
zA6<>SsW{JC?Y5o;+YxoDc+kZ*(rh|SMNJ=(pZ!B3eG1y8-)6olcjzd>>Xe!q*%|
z{w*{GRVBnJzRd*nIq65GJ*+R)3fE+)yZ}uNTG^TF9ISbwJ04taIXTg;8<{ltN6MP}
zpbP6AyAotb7&D@Py((6g(UsvJ`@>Wqb3mQb>3mvtE#ybFr#DjxG$wFFA$0I45ZU~s
zPKA*rD^|9$eDOdQYhE?9X3if7+EOxsAA>#-D-9pn`dN^iJ}x|!*B-xN(Fz@-Dq1lO
z(ZN3M^vuB{1g!26M?h@*%VGRrElc{hG(Q2JwrRuTfYL6Yc)q~%)Jv#621i&32U#^Y
zK3=YD{N;Z9JE8d2AzYs|;;sMBWY67Ht&6!je>b%$K94h!+@!FePBL
zhxCye^szuxf|+WJ+DWlDr=A~=6JNuJ#2qn~&QcNYo!Pr`xU;E#C8EQ7Uq8CtDX$7l
z?na#QRI7L${MoKT9fi?Wty!Kb>>`ZK_nF9DKL+4gAAitafliPGU?;e3`bT&$LN~#NSX~d4*q|eRuQww5zwT#>|W|1ay0I<`qC(&;!d!
zRwjrAlY!^AaLXOvFhjd~iSCVdCxfmJq$PuU(ywRZm!}<&IOD|*mIiFH>{N!%>F}yV
z>=hSY5seMla&Bd8vE#j`)mET7(R=)zCGpHr1bYBLD?qw*bH9jd?U>$e&?J99YCAG?
zNb`$JYv8Gwz9i@Vw_R0JznerJIIWid%q0SDnF8@TMl{Ew
zqg0@6!Ez9M-FJ3$K*RtT*pV3dO=fa+NGv|7DQu-3#
zBi*Z-4wTLjX|kh%mH6g4++5I)gEC85dtdycCBvzEqUELpDiB!3U#NM+OuLchJ*@6u
zq}KVuK`s*GeV;#Fl0Q9@U0#{QZ(8~Q-5P%J+m`_^=3`dYV2xgz)31XWx4heN&Z*5r
zX|h+{jy5)x#vYE$jTtmR=inmjhByhHR5IV+Je(f%jR?d)AtK<$3NN8UV_4H+)M2ty&|M+Hj4vb_2%Hf7{h((5^;lAjkjl_Zg%#y%hj(
z;ido+{2Y+S#gsVh8bjqd84<`^f22sw!SXMLm3
zN~*U2(>Z6%bOl@wcpRSRP6D9j+`xMc;^~CSb_VcgL`9yN111+FV2P&GEgSIm4=$H4
zB;MugzIhF@{@Kq>bxZS6hN4BD`Lo9SHS_+t4xGt};mQ?hJPx-IgN3780Vl6{&lUyQ
zS!Xv^xHidkRlDH-WKk=Y7%?63^pR);0YS8w3Gitd8C@BSKm)zmXVI{2>gz6t@Xy3}
zU?G5h|FITswq~9ht~8}hH^ad4i!<8SE3qAckX=wPo3J4vLzU3
zj@}eH;_b&?H*4eKhGk>V_LB*EWvnKU6L98I~wtHX5
z^Y8EdXOO(Vzsf-8;#*{$(Iwz~JYRFPKo)OFej9o->)Sc)>C^u68m#Ehk1Yo1p`R*-
zm&D1aJ%`U1Tx7I!NRZLkiolxY;KL1gJfrDzM;Ege)6X9LO&W-}o~eiD3Hgs=SmSft
z6fMEX+5D*v@s*XNdRK`a$i;!_M4`vB^HqQO!heoJtOCmb!9n^MWdNk;40SSt+zE_8
zs0X*OX9VV4_{*+~=T+9m2d#I0xR8sbDSte$DE?^`d&odi5HMw#0rI>M7zb1c1+v&gy()wq6qNbcfL;SK
zy+N4sH%3>NsQj)tXvh<9XltRgbEGaYO7{ars@&Fi24}n16&+;rD(^`U9P-E3BH`So
z&$@#FR<#!}q!#8*?XR#0q@Ni8tpyNR`6=IzxT{!9rZ9TG)!nq!Z0fw@u-kQ+gYW4^
zdN*_m$6}VIIl`hIz275Dd{*nVQIPOnjdT!*%m!r4rO7S$rUC}@nSTJ&M~y=GL8^(t
zmj50Woy7LNCN&ut^sQS6@3QS|p;dVkpT73b5mghHnl6MFGvsvt%UVG}0Rs68x;wmp
zTaSRYqJ_u%g}%7HyO=%*#CMM~uOF;lZ|NKXo9jhBjj{E804%^70U25N!g1J=T{s2e
z^lP*z2^hBCJ1XJZjwxe1yXyPyI=@rfgyNhWmYII@M9J=3ZD8Ng`HzbNN&6EO&*Y;3
zz;QsP$y{p7k_RUXSlzbpz4TNIfB+UQ(jw--Nzb`^4X(>8K$x6B5(z+ffd-Peb9Soo
znahbrrTJ3}#j>BwLu<54h0(%IADSW_+g|{Zk%{j{Xnn$CLwJe&vz>0gryznTB(8;T
zt7UEyy`49CAoh2v(ni&LMnK?oo3m@Lxi=2RdiI8-PTN_1#*b^U_x&cA$7p0msWv+ykTF^`n6p!C5A|z}*op(X
z!(iiy(q>r;kw?*xYgRhVJim*7w9N-RMhZ?liBQ)D<$h;{13jt(Q!f5(t<0t_@
zrfcR)m$&uzewtU>#2Bi!@Fm4W=q|81RFqD|EL
zb6Fj`tV@spxyF@?OLy2hjk^{R=pm`&rYyMt=Q{BoNK6~AUwA<~|FLxS$GbgW#YENT
z^}h0WaM_4mTk8~8ey`JpfFy8q8YMxNsPODuWJcu$b@OUXb&7_zS%o#M1Og1Yeun%4
zuHF?buAFSx9E~wZ@u2xMR}}Bt2=edq8^MxRia`a`{g7{kMVAgXmV5br`TGkF->sbq2YLbEq16
z+&C_UYu2KR=1b}+pW+=Qj-s<6PB#ewE0>6Rsj6S^mSmnwwz$`f0Y{c_781Ti64#1P
z54Ye9`QqinWGPNIag6936WCP;Y1
zdmv6e0N4{hNa_?goPm5}UkLg(ge3z
z!_Q3?i0M=@gEK~CXJ2KF7cFSi$2ky%m$YN4rpEm}-hN1-l{C<&xi^4kFhulubW
z5MW!Hty-CWpw*%tnA@0KbxTEI2`BV_Ct$+
z)iK~@bt5VdJ?;6UE{9lN8@x#eMk(*^dhU;ne#$gIY4vmEjrlVoG{AAJ2Z3ueTd7e)
zN2Yt6a0;|no?}LsjSQbyq8NzG?v@s^U0K=eCsNfH&8*eDVy`m93>?^$4-r9FEGlAy
z3xR54Vc6c??x7?Wzy$&x5dWIysDSS$*(P-
zBW%z{kMczVWdH^p#b1~seq2@56EqEgE^b2$<6c{`|^IRko^_U^q>E}))(aRd}zpqwmFA7(!MaeqIUtzR^mFSVSVb`*7E!y1DMdQmyX
zElX;YIhd=7->3?Of#1HVswLBGyS5>~`VaGAVy)TU!@93(%TTvf!Y(+ZwUTUcuAU9(
z>xy>Pe{1lmp3vYiLoL@gdW5R5&ihJ&C|x?0O9=Vj3(X?
zNeaLxcwnFcJr%$x;&oGTz-f0e?$mBP^Qt5TG+dej_UU}%*tvx0I};(I*=IkuGj@!D
zOXKn0fkbOxm20Fw3*~wwr$utfT*qrkZo4|st?L?6l$4wV$6PD3d9`^RuR#oi!FienO!wpfCe12m+9457|
zZ$sCn-RzjWjhVsE1&#iowje?i%eK?BiqO*9_?P$KtIGl6W;C?JPEKcKsnxRj?n>I%
zOFW`(viosnzir2^uFrcMJ5;VYn9Vu@$G(afeH7MNiW_a;?2@GK{pm6C80Z0$7Ik
z<3+F^iK~3?9<)H2Cm&_Nk2dN)JTVM_E
z|J-Dzr^lpJrE-z->~VSmQ*+>2
zXm$TZON+A@oyww%`sbg=p=pKq(3~qo2P?y1?rE>bOu_?AqJ~*WTKnI?&46Es%koaz
zG>_Z!Fu)}Z+5D=HY@CkkNQlb)r|{q4lRX;rE6lL$%QAb;eUK?iFAXU7vwa1tMWYm!MD5m`C$O
zhjGw?aat8A2u$@?spC5frp$1k!RHDUx2E9-TQd*m#o+6dXe-<5CQF=37b5!U-m&x$
zPZ2r38=uGZv{V}=?c|hSiEr&-&lp|6d2dgL6n}f~#GEGiFROOeAi`WoXxsoU>hPc-!TWCMd#N)s#g|(9&@Npww60#4(8>6czXtQ
ztB_jy_#IrWIGNL-X)HJwu7v@O4LD>$4F%yD!(zg4AgDZs6W`J?eePidy3s)v03U{2
zt|kTzayv(k`JEhCG*2y5xkv%ED-#?j?b8jI5~wd%kl-`OG0-e3=$^ub1{`MK`aq+M
z;pV*vHp({-AH{gRDS7zy%?=r0bsFc}Co7xIxUu&You}!RY6KSonfD$mChRQDGdKBz
z!N54td0J3n>NRaVED+afY$hBsm6>tmYmwhky*Y_EkRcAo
ze|;6m|6|?24cWc2yt|8%1P%!h)ikRV1Bs6iyJ5X$iJ5{!!)N;S{-*x?iOAKhsD
zT?blS5Q3oNe-=Rq6frwG>)AE6_tryB6-U~FG0=CcN^{_PSTe
z3-qKE)eTZzbuLge0PoJ8QLWE#e7)>JyGNJ#5}1IFTKDCd@UA59(BNb27nG-ioI|L7
zB#1gVwk;s1OV++@MoyhvGk?}a2&_w4tpSjWhc6NnJ}|>WYpie0pKbHhBM$odX8d_K=P4X;W={mz~
zI=#?V#Dpv0Hq``Eu~y#bj-%H7fELn^QHKxhVBr9^dfxHtb82Lmb?0IGW#rz6p~
z5jQjEb;Hk2;Ck})D8|2!6gU{bo-?X~6em;RSg4rEFXT343uG4HM9Ohs25zQiczn*R
zT?awS)moHKrkqMq8H=59w;h
zbLidO{l$WN>_&G%*weXLWu%Ghc&MUaCV$;u9GSt$>A*qmPUr-`tK=mEx>bPI?2nukgg4=+BT0RI6Pu8Q;ncp+gXiBO977sXTrjMKEa8lh!J*`yv0|9a)6&R)Xw~}EEx;hY#
z?UFk(3Ptn74aityTiM{o~l
zLn||=Kvb?;DNX*}$q+148rXHIKU>5E$)9o@Ii8gr+?Y9XSkk0GeABiN?!XpN2K`z{
zpVurn$TVZP(6$&)Rwsf!)zgInIz9nx0NoGT53O%~J@oQ6(7QU^e}k!4f@O)`ccscw
zf?Cz;2fy(Yfs`IBfu@Mu>Dn9SQZCWz$yft(`D$skWHCz(H#>JlY-~qb+2I7
zFo5__rwsyoZaLd?Saudn9?aRQBslyva3QF&T~==(28!pCg5*k0XcrbgNzz%F1^L8RcF7xJ>!r!-obg-QTG9_i_KpNkaSPUC$s#xw`r4>Rb
zPFBNY@@kdx`VErgt9Ju{qAsxEKcU;%*<6k(T!F$k#*~@8=I_3xK+-i4R{LaTQu1CK
zCp66f4tfs~2(T#Kt{b2L0L4rLAtLoPl=T3m6i~OvWL1avL8J^8iIS*oUF_XoUW}q}
zez9@Jho}PgaQuizNYXn1xgt3u*`iS
z^!Kol#kl|Z_6bmVjdt@n01BmAegvu{B(G+oCH8ub@k%a4~s0<(E0Hd
zbOHEG3r+WtKY%-F_X?X>$>ng{fuAk|d&+)$J0YS1uj0N6?QjC7Gs6gr{bt>Cd
z#?IDJYf`Bxe`16zHpruMEFnGYIiDxOQls_&v8z3fdnpl+|9fMa%;<_0Yo@>Kkl$h4
zlAUOxFyH3jb_L1=t*GKx&>)Ae)%4|PfBszQy9}^J1iz3E9$S8jx&ke3JIl|`L{Wf<
zYQ!n^v*b;IuwHtM33)BItR+VTSlbh;{6)YJvrd$vp3l0H?pzASwVwV>=&14ZLWZT%(-bc0`lAdl{xa+MYzO?fj$skPLzk}lhb
zLDdr%CLZ2y5w`%8H|fi1dl1tC@6EZxsuEqVZ-D)$!4B(OaC!cMZ^@*iw7u(OPYix!
zIlGH&<2{hgZNVSp=&gv!+wRQLYu^;GvuCQLDsiQ4$d;W=S
z{Bx_T%D6S`+ga)(07%ARG59k6ScHCPZc;hs#|$d`VulSpbTY7@fO51ERW|8jS{!2w
zdS+^Z9HEE&>uoOru0Lk@GncO|&I6Xr$S(HWKm58Q;y>V>+ia7^-~Y`}~6
zF1_V`y8)d-gTdaX?{=U<>8&CTbZ(3I;qhU)zsiOmuTe4u)r1Rl*6)FZ!9FA=zCpi%
zPS>c$bMmgeBt`v4bmf-c1Q5iW%~>_xi*i?_aI-A43d|isn+wnU!PvkxUjKfJ<-gL~
zzZLo~Jo^-MJDry0hSLi_&YxX-cK1g9^K#eJ?Fx9l^V-GjzOHeUWYu~Ix&lWE-#zY&
z!~>-+=I+d+FDBma#1ymLKfBe69gO);#er}FR)t}-&g6Lxc`5)DK%T=v{rLyzD8T#E
zHuoIN=yWRAc5G0^AoA%7>`&SxU3`Co33{Ev%F_p@98h-wVXwkq3k=E;Axa>nvU3DS
zTE)m!I(VMI1ZuY~))U6Ns~`zsTPrLC9V+hzVo5x2>v9NS#<%Z^VEKhgJ8Mz6uU1Rt)mx{M8RPtS%udK>@5xqI=1jkF{k^ixpXnh-SKYIrb>@~gn%^jBLwNp|6tmZ#Tl1mNi(Cq2?o#=BzN{>N4+G1}z5$P%&#nbrQ2-n=f
zG8eTa;7o6!k4X?~K66|}4g)^uW1srjkaw%Po
zeKW91)cDu70=BIA?tqWV92A5B7gr}f9~gBJAQmrxCNO5{l}*Y8H>hYMe}fCu_p
zp=%uf>#BGCHugOZNH%`-0}jB-ZcM2bIOR}@$1qq`>NZt^tDjRfBes0&i@;r5lHJ4v=^QM*fuCSQkp&mwoR`i@{c>|nbD-&r@jR_4w1{>;gf>{!A?CG
zru?Y%eS`@Ny?_o#=opogSZDM*ZY}_sz-ph8-4i%dw-Th#<=M9)v6q+5Bm(ZJkPBe;
zLwEF^%}SUe-fzLO2c{q}5Qf(ER+`u~C45a23>I1+A?=8|c)W_ZECFVV!vS)gQHmti
zlLI#dnBg@E*q~E42arH*;H@1j9yDcwr!TbIXN+dA!#jkyFh7p~J^6`mJqU{UT^3_1
z!&5|!A1IhAiJ%i5z^dKNpSpN+OZz`!ezV0c=(Z%?u+sm}e!$=TV_|Lr)a{l9!@&$r
zO9*6tDsO~%<4y|C%UbI-Ka$N-fP&ADv&?~8mjVwKLy;OkW>8^3Lip5}62=k(69>BH
z<6RC_s=`wuWIkhqWaHzOjQP{rH5OpWb#%g-G*6t_(-o1ba^70f^gBJpaUaW!)1t$>
z{4>^cmv@W>b?G-TmUssM(G;X2Fh#_L_E}H!n``krsLV4#9J
zuy=I8#3m3o0EVJ)DD$@21Y<6)JuZoL)rSW^wJ(*+EC-clfKOV=ROd&uja$}&g;<@V
zW!OG2hn{`bWaXv%N&D!{5{@A_9R=LtbxJIS#Traq+{vM3@GuvSn34@?rN>ZQAkgsj
z_5_q#<+3tHgBe>zx}P$2j8wLrally(?c0Cd{u4Oo=NsYH?c8_8+iC0_l#_={{+&-Q
z_~+N`-GrlmhW#g&
ze=oQrHmhl)V8qbq`e0K(3gU-LQz+z0R6Zcydn
zoCX1L!&mHFQgl<_R}sJ;09qvjvg0_EsiK+tIhs@u008+^f}t^>3h94T+O82l4#gsF
z??~t$6)W`?s7Sdu?t10BX*Lo*gQM4y@apV)&XgTVj4KENpz+A*h=USIO}Sqh@XrqN
zJyZ8)HhZN?t(2NZ2vfHfj8AHNG1&!EHG`7+JR%({lfnKFBJaFtlKQXI0gg+Tp!EOG?wh^
zvfv3mJzja9G>kwXT6KoziRqaRzK5aqr;Ix}@ZyVS2-4z8-5`F~J*Yld#zoAuNjKmE
z;)ubvr7!CE%9=q>kdGd)&1!x9pOnCYzC?Cmi?Kq8SBybhrG>tPL$e=!=PI|SeG9&_
zxyq**Zp*=apiFV(RjiOr;9-re=i!$@)7Kg9OTA4}GO}8KzrT;aUy5v)G;D_98-AjW
z7lg@I{UP*z4^^(j$JB-6RHUIl)TyHX<^iyu=vQaM)YZZotkz)oN$!uSs}a9OA0Ug-
z@k)y4cPAX?fM=b5jd`txJNdaNBpQCL3o^amHrPD0(=lVjC;F*Y{{-jxW{&jo#Udp+
z)ZZ|@H4HG_)4!oK{Z3(i2z{;Ec~4hQB-4jE_I|1i{#P0^Bq7CTFEKAB=5E
zfCW8(?fz+M-EU+>CGR)v)A-GLajIq-txhX#$0#@J;$q+-fw+|tqAY81LeURi8L=~5
zmsPf)Rk)-#$kN#;`V2@k&rxYY@h+ahhrHt5G^DBWu=Y9Uym~OLY0wnt(v_|H+x?F1
zcS~l@?=ugJmfRf6-i`f!1bfzQ*J_M9vh$HiDS>QL66?woS*P_v6a9|ya1?w!=V3wd
z`NS4CO(D(nEU7<4@^Y@$aC11SNb?gs;xDJ_(mq?s(xT$&HuHKIV;$LtW4)7RP0d%&
z%UBLFPQZJl3&j*eq~x4xMgz#r{MqL9!n=r-Q!+IHn-(IUo0I-%TxR4sE-^?XK5#=<
zmuwrppvg45RBD11>iu4>@4*{~v9fl6A)#VBf!eC~8d#o
zrg&#jnwF~MXowh#T7k<8#pK{CwGZ_8{d3p4Pvr9R3sVRAqM6O2c;P|{HpY)u!ICk|
zk+Zb(swY8-Ra(gn)^1^v(t2EcA?3_7rePD1WL@-F{b=(N@9eg6D`an3M9N~!B$9aa
zw-)}ZPT9DMW1PBIs7y2Y7A=yTXN3;nD$U{NniZDR3)QwW?>VX&d5m=`$n?@vOx!x0
zE4w72S0pxUy^PNFIzz#_!(;d7rDDsx)$7GB4>sUE?fcMX8=5~tF2ohgAhbykNsATT
zq@xC((12q8h4>(b?(+5p>_yI3a%~Icg89l2IjQq!lxBO;O(e@}#?MV<)ib#ma!on0
zJ#$6ea?RNv^~d5Y5ziSXl}Y3(o+qje@e+oMw&;YUnuj~L39T^}CuI*U{=1^laZY>K
zZb-ewL}qYn*_@5@AQ}%&vmyu2??xQznbDHz>DMDjD%SJ)ON3vw$>d#R>dRt&{Q6x4
zUe(|*)0mliJf;}(@C(_^Q@V(Y06lPA6da!7@RRMC6NzFRrdSkB0@Q3Yq;PkEOC+Fb(K?(Z8$
z@cXl3-J3hb2@pTm*Ug69>Siae%^|heNUSi4DG?c-bx>b3#W2
zq0vSs&As@D(v9_B{LGYIBd%A}yB?};y?PhO7-)7+Jbty0IIIlb!9X!sllW={k(^kg
zAXhmHPrH7#RJx80IY#qY+K#2cn-EN~&Yo=^tgap`0{e;-jS&PG!YPdBrcMz%^;QG^PuQy4xAeP?|q;p)Yb;bmGsL-x5qI4=Qqy->yIYJiGKPU_!t
zDaA#;NaA~$`QyT35He8aa?#Q;$X@=Vy}FiW|MkMqknYK`0{IteV*+)(QmvMgrP1=F
z!E!k`UQaURu@W(KNs82phOfn?)~%rlgk#ldgSe9#YaV~E{8t5f
zup$-rY&@dMTo_WGk8Mpz2@st;yDO4y?iyV5`iA~iTkt7><;zwvb))`Zp>mL70>w2NT40w3vk6_4nsjcBS={KNS>hl=M)6ch*xxLSo}31$
z2Py5o){KIQ&wr@G^TYjVlS0f`0>L~=gPraA9P0zUinVIde5L%@W$$WfL=j(j!R3fc
z5tAtnlPtY40SoK=mUf?reTOKccn6~pZ|yk83kk}s#b2oQXHHU`h`9(#{K1RL=1O|&
zTSz-a=osy4i3fj#46}Rk5qG7Kf4zW4;5aP~66O0$$s)|0J>8W3*D^?h#c&?C?(H*Y
z!b11A%5@m{3%V%$J+9RQNO(3GuJd?7MfvcQX55TCl`imycHX$G?<~ZdI3u01B~x`c
z>4UumRpItCb3{KUk>F{+E^j%?Cy><5_0A$g4YbfgyrhYcOD4KD5C8Dki%Z9Kb1TCU
zToV&>B|m}_N$c!O5y<+M0HnDVO;RQW8`S3}?3KII%tL+Qx8@zc1qJO9My`0LcU}Z{
zK|Z+%qThI{I5h9hN&ojH2`C4G7r-^d|5`xY8eiI_f@c3<&8|C90(`@eZI*}~*k^Xt
zjUT$|Oy_oEH?8`}*JWUc!f@oPy=M;lKvY@ag{X#e?Y_uDaqqOQM{ueip?~x*o{A58
zgNi?=edQoNz^<)g@up`2LgqU^P^pR(a)pPt&t%GP^TKWd>yu!qpsuL6pJVzaxb(zNaDV=;Fh0Q(_
z`xbg1349?i-DXOhvqm8v?d6&UDqGld1*=pQV*5
z?FU6VhfYX;uN913#`8+GL*mXJteH(_9y4~QI+5t)IEu6t)PY8H4+56-3~8<4?}~>7
zjU_Zh!d;Qjx*R(0kF!bpK39cy1|o?7}ZU4S3#95cALL;576nG@80az&$F*;wRcZ>2{OGRuw+1LYyzrid4D!xvPQEF<76
z5p80QG|Eo!KFi+tY)Xgl;4|ks1nG=+l-|fx_wKTE>bKl4eh9)gNGI;LKKfw~07By&qqwT_%xX$W^*}1%QQO9K}GCy8jNG1zNFqbm^Im
zv&Ao1!RbRJamM8Q`O3j9VG${gZcN)$oe*lOm6z)q8N7SrtxWFN=;FH<&)@O&L9EjaWDw9vXj7
z#$4NbYv-`~!tn(6Eq=`#Bh>R&-mp)DmqC!U)T0I)!!4LmfLqeJP@jiBnIiCsJA==x
z{xDVTd)1ew0gF#QHIvPz_02S?x>5T<9(p7P7}?0(=+BMRzc@SBxT#Anc6KK=|B`|Y
zBH$Oo(ywnPcypwmja4X
zP=|Wt8;e%}t}2q|1m`!eG-xcD#T7x=D5LWk8HYeRpR?ObTRBW8K__E7GBz^x#7!(2TgXu=gPss)zRYD>yFPTs;Vu~t~
z9egS~e;XSnu0h`vdCrSx>#9B2T5N2CveJ+nBN9nnJ{x&eYE2*C#M%BeHQ$-%y84tX
zFTVt+A0zotnCb*jAbaql$4Dh!5)C@b?4lS7Y=jb3p&R6~|B@pt#)b!f^MwSqvJ7o`
z!%@9VaryCA4p^I*mV--aW96?#a}$4WQ~!M?A28rNkqGzh-ayc9ASSZt$Q93_IQaKv
zY0Mjz47^o1)&6B8DxY|+o_0kKSEF`8NF|;_97?L3NkN=8G@*m_%jM$6zpRb|QWW5(H9ihFx97UStw{g$rP$>%vY9MZd+K%K4=vrX`=Yo1C4FYBZfR
zCdkI1DB|H+kEqMo(Yb_fM@Ik1!1$cRFvCQd%1&4jY!f4`b>iw(L3R#jO0fLZw@8=w
zoCCsI*-*Gfisy2s=Z1`9ojT22c2?z9#uF?g?t*apyU5Co*=egViSO!Gw3Iw|KT(Dz
zbi@Qc?=4-^lvoynWu6~5V7UV#h09bcl=byL+~0e%=rleDjp)$cM3#!CCij<~Y~B~n
zCoiI&V@G{1?#>gO60cBL^A)%n=WMW?%I$8=l0ARWzIE;-9P?M$+xTWDJ>ue!4?b#f
zGiF6@QiM;SfK4--BYyt&lw8|X%4&uNkg=h1N<)qmt77a09HwHuQ)prRQ3_#d_ef!_
z1V)%bu!SXJ!}AEH7^#CP*0nnn|>bnd2wQp)qBAIh8
z)pf7mTC|m-^{CQiI>;~?8_kb8JICVEpNRhYO~o+J*ibAHL3MiYO)G^^z1_D0ZK9T9
zz!^`&0_|(;A&-|iHhfG>i?+U?-!}%5^IJ=nCWLLzLv1$A#SgQUb)gFQU(8eyUC`5I
zXfP3Ljzqm3lZF;p%LNxhmass@Y!+gma5o~gyc15
zr68q+&{L6BN7AYCsJtZdn*WX+n(%o2>({3IyL;@v8&3}bp2sz9$_55Pa|Tq&f$JV1
zfTcl+4F{hAz_a+IVKe|VA{
zUYX{Ka&6%UV21}u3R>FZm#wl(8R7-tA5EXIDcAVq&EEhu>A
z=H@nVE;topu5;%r?CS2m4LFApaSWm7WwS^SD|`E)BwBf>f0{+V-KnxuaX4!I_K=xu
z%3p~()T|J4&MqBKmUG0Kz}VV29#~T1-7fB|{rYF{Zh4N9?pj7s%CmehAawz$Qy9o!
zE)>10_Z{&LLp{y?70eD^zH%N02*q6tn$U4V_*B$=b$rVH%LI=6?_7hUw5R}!X$w#4
z(1)D#6RcaiBNln+;8``7edEkl%gH#hDi7%qe$5wL@$RGgq(1V^$G*1`bsh`RB(
z$MdWhMmdYeQOeeq83(yDh~ve~gA!uKON)0uY_ikX-myL=bjY(BD_3ewR&F{_q)G7h
z!$694OyH7am)A6|K4`x->vYZ#4a2=cMI2iC;5O)tS4%>j?Ucq$v*WEsCI;f9g^O;2X_!=^OFiXXZBHT%{S4DYZLpt5I8wBH|9UH(XZOGOkL
z*I|&me|gq*zMZD$APQ9JX5E*Xb%wFze-5PUS5DzpLuQh{n6+Qe>s`+4IUBnEn48zZ=~B>i^zCSx=7`2N@3hg8sMo
z_P;S~y$scPHTfU4Md%+EyYyMX1MTad(|Q*Ryu0OdHqh+aw(5d%bFu^*H&&g5jU1M*
z%s`Qz$I9R1xFKvD5b;+(;Lr8W*^c(cZNu5Sf?MZmKg^v=&x^aA_#NmJ4HFYnzB-eN
zu5R>17S9fX$lbG>(-nj?A-_qYDSxXLT?QOvaJ4p{{c*QB@#06qdhJ$P6}5WO{Df;1IwV5g
zDbh!c5gV=cE9xGWlg?o#kCVgC{$~6!c;tNOy1UgSd6bn_zVkbX=fU3BiQDOrJ<=2W
z@-tB)Y2Pb1o=*Gk671SzUc~j`6hh~nj9^B?%aO~+8Gn(d1?ry1JPg;%|6}T{qpCo^
z@8PQ`C4$l=AT2E*UD7EbEg=m`3KCM%(hbt7NT<@$T)Gh?qy+(K2?^hG=kxon_0F*7
z4_#}x_lXnx?7g4HXBkaQlv(+i(EX;|HdW9*@)9^*!S1TEr-)*zwx9YP8Bwnapysf(
zgK8Su%UQzHgVY5XTS`}|vlf1cj!(83Nb+K!UzGwZ$mUaQ_Pmx}Z^C47k
ztUIrMPghFm`YwF+CL30rs7&r(6G8ZVud)!FQliJd5IvdWS$5KEbY)*ySjhTf$3;r%
z)Mzl36~F&A+Ug&6WpvO+$KIEn=93>ye-9S}@QBUD4=$gvOjy~TTKQY(U3F7941E82
zd9sjI?GVKE%}iWV40+JUT0XG#NV`P0?d0fab^8zvPbB8#eCJP?uiOJ^iuw8ZCIb!<
zAKj$E@4E^k;aI$RPkG&&jX<<2I{nrA{GHof`{qB|7pF*ZS#|ZDLf636fE5oH4?4%7
zmG@R^9Upa`yiTr~nOzDNf776=8qJ9vY@+7Cvj`}QK>y?77*ms2Vko;I9b_jdsXs00
z7{k8|{3r`}A8Au^ae{)Hg?65u?%#JT@#rkE2En(Z5V$9Q0~erKu9I{!_&g^|_XGOY
zRT++0iM$wEHtqoFyqNZMI=fhXjv%dqKsr*TXJrWr-51TRcO#%drM~P(Y#hkmv8uo8
zd>yTjw!}*NeP!+drVcZ1@srpo`1Hla#kXKGHJCy@zOw%uAmF;olp$*
z7w$%RlDF)tqP@9OI$><_?qtE&xAV35<&di>UmKJ^!#r!+9XI)h{XN88
zBnk{-sNrU^>;A*G$Q3hNawIjrSSEpk8I`^@?|m|_TWf!hqkc86>0E?-e1Do+@YRj}
zWKKCxPvMB}0euP7*!t^9^KRtUBkWOh#GXjBwCQ$rk!32`xt+uMPzLjZ2W=gA;^|X&
z_T{KNZZI$~xPvbVV~(3SUpS*)ldBhk`b*=eHJ+(XHJSszpmc%Tlg|@Drrc&8(VYJJ
z#kf-w$tGKI8U~dU!BEy2{=jq>OC(+bXelzPHUHSnFo=wGoh;{RPqtQ11>{a1*1_B@
zK0!&cep)PI(XW-NSoF}ap4YcKQEr`dP(}DbrTx;1Ro2;nRp4S-+w)d1V;}*tgCk{#
zHE&q7_!TLuPMI__VLOTm(KP$x^GlK+UWY25G+8cwsrvd4ucINI-gTKyxA=q?0^7KFSKE
ztm#0}Bn_2g9h&yLSGQa5#Cvb=Hf(X+-?QdU*_$?t&H+Cl&;n8-?^EKM?fz&+Z5*O?
z_hbdUVR9>=cOeSPxvdX>=$<)z>apKNf}EUMl6|vqtI{`U8Yy{XG6I>Zv<9(~{Pl=|
zQpg1pjshhTOXk<{?m{#~UOdM5!sq9){n9?&KYY&Zwx=u6P`e33
ze|=1oo!lKI9j>G<1-<3Y
zc=`CSFV_TcW94r^FhKoJo#tOpspwMVx1M4tj_&>N+_k{zEh{Nm1*4eVLlisWAGpLs
z`u_b@aMrl{HLbj?Y)ID)4jjQKdt8^T(x_wI6qC@s>VAq$c>919Q@Z*I^}W>N>~R8O
z!}T>Y@2At}+X9*E5R=(w)@41P7d6U3bwO?_7_~6DEiY`fZA-bh!iKDEki4LXM7uD?
zJvnH6mhQ!sltRv|(|9kFYhfGbV1M=WzkeEHVX&7QRt
zuwtQZ0-gW(p!;d@IQ&`jvLaT47qO_tLbNbH&pu6$EqGh#@m3%9R__e>1a1{sAS-D#il5*|!POIbW7`9CfIFHuu-
zv!S)sQhQL-@Ou9YaetLfx#wz6Y|Xl06hY>*79a0#uEA+NC(SYE$V0PPq~vi9B=6t5
zt82-|L&bPO)6ub4N!XWU6jv#_P3{k=anNOEBakaLHZQ8YUAyztkeTa;s%{VCblJMg
z4eB*Eo-z|EdIB>KbJz|thjO|4J3e$Mfl8ImLY=A7($Z6?v(&V-7;K%ph;(R3ah}MW^s94J0UXAM9oISOg+|hu1k*$UDwzq
z*tMsAwj_2X!o!R@R!aW9=<&2!`wCO0`*o<=a<_WTxkb*mtMlxA&yRmIb8?b+KY?5N
zt00Tm$M<3%8LMnLq?xANpTtf;Rr}@3M^XMGUD2ZvsZWK4ckKd9NJaKq(I6CFLmZu)
ztaOGF5RA;uF>XzxYMAyFa658IioYAE;RP^Q2IswS-Mm7GDFgNlsm`JHoFmR-l6dgP@@BTdx+#GggEbg>HNFM@2LR%&2vn7U&#Bx!T
zcg02^oT!SOtp=VX4m^=fG;pa`UY
zs@E-U-8_H*9?cn6n??zMdp}!kq~@L14VKl0_Ty6JBHq{7uECs7_LI!PAAErDGJaHS
z9NvfDv!*W7yG66rY~k@ts!>Ikk`&|@q0(b5$bVk~)mrz$P$+qvzHzJQxgOawqvvALKdc<&U=l*y-Wq9+K
zagOq;)c{P?CyTTMr=Th--K#4uW?gSEduSMa30++vvg2t&&)TbW->Wl(hK+`?_n%4i
z^;ULi3g^j)TYF#k+Hd`LjA(Z$>E1L`LF7uEnoxPXiMWICWy)2PLS
zvskAOhI^dW#@Gr42}@zHf`F`Uu@2UK{EE}BSm5A`bw5yZ;
z=xD6lIl+BGAwvSmQZdnRHcDJNa+N_+xDdmF{;x&=^a(xnX7Lp6%Q8adY}mBw8v2cj@YU7s-%p;2#zi7SWOjTWNBcl#~>~
zm-%M%0i<6ti?o*~#0wgcUq^Fj-hpqluCBSgT^Rkqx;LDEb!47KJ3K*RjO?ihow9?D`Ra
zeFXiY2gF&g^rLRLtQ-v;!x(M2tQQa{=C-5)=$Pk9G8{C`R<7SNH)Cs%?Q!Ae?J~5p
zvoo5-QHke|%gJkhMW(-4R9?=xd(6}h-d91$fUXb(%^d;5Pwv0QK6re7Brr?({{86N
zdgX7GCud$ZEzx}PPd8|0bS?gGkpr&DA_P_m3VILhIFQa^v;CVM!dVH)VDCbdLLxHb3nvXR8E7EIh;;kG1x2SaP
zAwKU8&PHy37)`&r&KW;gH_ewKtLUN#pbX~Jw`3FV4}vdef^A6=_>5*FYzPSwg2+R?qjygKKt56~DD1sV9j{js?WJRIk^}iCh4eF-DOiQ`#&UW}n
z8n9z%d+$Z9OiR$%F+Qo~^w-v5MrsERD4+d&NU8F*!)xl^8_^zB>AT_T?*A@Nf{;+V
zk{DVsZcmy2aVlCUm+U?Msv2^chU@*_mS>5FZ~pAkr$o2XRI_c~V8D{c2YM%3LhPlH
z9I4ZVf0xDvZu76(2ck2C-Ilkjhr0pf!HZg9EQzeQ?7r#FZ$HN@LS;vVnWUq0$M@{VZxVeS9Uc8t|Aq#krTr1JM=mv190B8-eiIv?4Gyp@J54K_j7Z)$
znTa3OrF-tw+jK=AoRKNtI!mf@EC>ddgK}Z^6*VEo=^YVwh|9Ou3U>r
z_1JH}#hG1QP0;rI4qLzfiolXX=USg{b`s>FzC>21aTR_OWYj&(kdA3++P{?>;~}Oi
z%`kkxi|dIyg>x4KL|m1h;xn7MQZ4Ur2C1ccG<5}s-@XV(k9+Ed4;g+)Pc2Y^yfyr$
z%<@x>KZ;~xwr(pD(GCV@Xc!E-xLDd3O4gqczft{n8l-;|fv8~K$i=<=^ixM9KlyLL
zfF@uA_&v8Ap^JO|@J^37DXnbgT6bak7*C9zWbvdVhw7mIIpoCya@#{_R9EMHtgNi`
z?Z<6hcjg|5P&ows*{}O|bsmI-q;KOr`r>mtbM?;7PR*~??_PUt80{;GtU8t=;_lnm
zT7SDnPyc8Oz>qVr8Zp1;S*m@jSxk$^Y&cW&CVM)s9^EO_)=V${y}dZDjPX{3-<>^b
zUmML*k*sw8M{($BgbEYE>+NbXwvCS(g$&Q`Bh~gh7Y@GXvmSV*>mF2YKRgQd&gHd;u~MvI
zR%E56=cwXMR;F*?(e+51(1xk}eIIQ&F?m-7WgQNhCs#18Dk%(>jD&wgi}|`3l;dIqnSL|_dg=+np{7q}PgMfp~x
zZ{hIkA+NTK{|UXFSQv@AC)_>Jot=a9;yyV1dH9v&)xWouzs>HS?+t^yP5TNe$C}w&
z(f%lw^zHtbCVB5Xwt|f{!d`4W-C0&S=r4FfMVvo+M1Fg7YwH@~NrAI+-qfwpZd;y}
z>rKSrH+=z+yN1~Pdd^}0_3Y=}1pqulQH$MvZxuE6C_SLQ|5V{Yym{$1d+>_KX>Mo)
z?L$*{s*Qb_eT8I_-yI*zV6ydPBGJ?$z
z6?w>NzQ3i@85vXP3O5cbx&^#M+P40Ll_9IP-=j}>f!9xGYwOz$XG-J}oN_|hf8J0F
zDNsxbk?AINQD5z0q{C@xuR1t*H3u6;wuO6pXwC<$uy%HaW_F;U41gqnC{)ieJ@fjk
z&korYk&hi5u2qhqftH5q_CFBW^dZgfoukZLiKu*mr#{HK&eUJ!zEi(GGBcC9Z{Xn}
z_*OGDG?ctcIQ67?8BcCpzXt!M1kj@8?_@ccnC$I!;Qc>gf{uaH
zP01X!A!Xm!U^c+UNg
zw0Lgsc>O0WZY+S-r!{o0hs!>gi4rBHcvxV<0b9kV`qwH9V=-Lg$`BHk8Gn=RjC?;v
zX^KPpvMIYcKKk>w*zx2*$m*Vpj*rT=R?LgkvSeeOB&o4}aR2G=ro*9*DvN#uf+P7B
z@U%OjNp>@lHUdB=M+!!>;~yX1q?63KL(Hxph;n~ye?-<_g(}@S>K3n?WaA-F7}?Ow
z5Q?x0MzPQf%-T2FO(01eWA&dLc)E1^RK%qI%r!8N*{e1PiU>`09_av
z8KEiZKNM+S;`;B)fY!u)v#j4vTmNb+
z*uu-oIOaTen{}%#RffLA_0ps4hO=RQA%51YiWJ>&guDn6c
zF*ZN*aQWf3L$L`w3#RRBUNh`sqNOqV2FrP`pBXIE4K;c%*E=^>uQIv>c82#`cMDEF
zE+3f7#K>0fp%F~XHSvumf!I)iVMdDCT~Rw98PNRIshI=f`uD+4aVr-xT`}AREklgD
zR6sU3Of{j4=hC~C7a9CyRRrT*);|~~5OWy3Lmi`E*E?Yb1M$jS(}UyB8_^%`E4NWq
zn&6b@(Wo5q5eq*>)C$DEz${x^K8j4Azc##&9+`~h$_UP~v9d}%eM<1H^cny1*1w|y
zaa5oWiAXP#N*VlFLMMlzrKObvqe^Il@9jUrP&uwl?lqsTcV?pUIbCX!)zH?~UIrFKiyv}@wf{rjE>|kp!AgthtU)(_%CCS<{CGUULF$L%-
z%^v&pwp`V#HANACHR#Gt4*EIQFT}H}s_=!~b_V{|iX;qLb^scv4*%@&{VXCo8LZCD
zHC3kelEem%Rv7WUtv%_AhI9%Yzob}mrT7@TdOdcz5P3f(=OoGimU>MWk9~n#Es2|n
zTt%y756E7W>T>}*kBL0r-W6TlVVq=jISoi$+Y{^2{%hj}v-KTLN2j#!9W<=I7gf9{
zZHU-Ke^q$n7F&X6@_><265C@{RXi~76JHwkz2Xr&T|`4wTh2p*bw5*IIs(sFqIfbl
zC&xtdHwz(l6QEV@hlBh8jN<|TOW`O$`Kh?L3{1C{8~knnD2^{`kts@DMkKX73;WYoG7QWGR0MihnzF;eRBi5Y#+
zRfGzEkihX-9V|A_^p
z_Us`P(b0G200^M#)*of%?nE9VB%O%6^lxt3p(l`a2FwGu&9VS^Q};3*^@j{UDEr_1
zx$QTG(r)afmvwu6nhFVjsrXz?<;T>r8Jf?1Shi965TFEd4QJ=3C84;H_su7O9NELH
zl{(4HlaSL-;Rmp=iH4MrLYo@R>m_~r^l6Eo<~Q9iZknced_G5e$W|L#zOWYg{9jDF
zD}0gN&q7Xr4!A#6ui}H|g!>$r<_7xD{NclvsZp-UK7yE2ayBdaAC35}8rN&7wbc(U
z*3LmZNtKk*PgF@CY0u~X0VY0*6pIU_SaY0J4J@E=6*N#(OS1LmbP)9Z$HEO~1j=69
zVd33@fYkK1h(8`w)=oh%;8ZquLt%S7&|gp#vw4)x{vH%rKonAh#FH(;KhTAZC~@sxjs4a0t8ZstBYFrF}Sfhwe#^5|3T
zuNF(mMA>;O)uM-t_|LT;R1L%=eZ~s{N91$>1TPOF-ewy$X0?%gS(k!
zmsdtaV||iQ?hY(0OE|ic(ow?C|9H*j!Kszket=vbm3G0a+UMaYZ
z@aBI~Oy=456DR=N$Uo2ocvJDOT`EWm1KU!FEK5?Yq}h6*?D@y)5iWmal&R`%rK_K6
zoc$M~(4}aB^LPH40F;{LwSvu$OPc?#*Eli)XYa3<*u>OSUSp$YQKRHf1XZi>ATE$Y
zO}@v9iF1^)l1<+Hu3J+-&bf?EKvq-Vo`=2nr9lcfd-9Pu$8z!QJyVZ?Us~4R`s5!|od{7e^%cRl1c1$OVj3R2aqLl!L-$0WhV^ysE;jgt
z8oi&ahRnmq*VBTNF&xKY1y=?s6rR(NO4%gsl8C%DGA1nDxkH*irkp^=_~kzaId?pq
z_P4`vJ~1(&e01?1K39iXB>s)$k?8*}7yd=6ieD1q_x_p}blJG`!}p)}obSI&u9PRf
zel37ApfDidu(*t!t5|;Yli+2qyOn>?%{L?W1Y;ShO6WlEg}kXK{vLWIVcTgJ+~+#V
z6dwgM*FA}Sn#!lD0-1z*sV(%#mFMN0?B({LF;Oe$L~7q*uSp7LibM1lXeg;UCf|{K
zawtP!(`HEX`iIaD>i4-+gB)zgaH{^i%c~N>wOa}$J;ku|G{clllt?;K)%n$XL)0qf
z^E-~^ctC&IIF=m&0mMA9l`NGBDw^Ekeq?Fz_GDu;4^>GbBy!Y%6Li;Y&I#jNi5^79!tq3A67xR2RISd%#l)j_kMR6kopG3*+zxMqI-ELX
zhMZ$>+;X7zd|RWoSt7*7GKO6k4azG%ZM_4rXn=3}B8wu@nsCr`KVt&{aRtOYSEFlp
zkD1zD<>vWN{C-?P8L0^aN64EmcsOJ_fUUwL;qs~ftC7;$*
zQ^Rku-KLta9>BoimMoBlZOt{qv*?&brF90nA-L>2W;&8g234Tt`eo!+erh=IwBA+5)8wq&+_w)`ssp$PIl76xGS-0K
zsfVi&D`B6$211dlkI(;Gi~I3rP|nQ50DR9KdSbmPip&#f#`q=hVZVj|FsA9^pr2s;
zG53~c>cq&qd<5tj*XB547$)0B7I$cXBjYB((cqJz6;hm(xKy;phoXM4R5L~!6{Nvb
zM5P`p^=X?H`zCx)XK8%dI(cSzs8$Lt}
ztFFJ(>7&=xP4M_?U{I1aA?XUB>d%Ka-25i$|872AxTc*zwwGeTx1m)Pk-`Vr3c?_5
zq-0H9iAK^U+W({%`aJeGc9%Lrf{=V^>|1YuA4*1i@x9I|Z|@Yv4@JFO(e4&AAOw0K
z)PQg7u5>N`b@*yC_@X6r5!!{kh1E~ui3r{?R7Vk8l1dblE+9XbNrwO}CYC;pxWb4&
zuHT_)sFb6f!tjz`=Kr_=k!bH2xeF@3)Jf{ynnfjY?w5P6Pm4ay@9jwy8il5s-h-pn
zKA{Qs_ZKPSBl5%eoul@|ELYDUBm_@^f|=`SK0Cy{pxp$@C>wc@qY+ML9GS<7-$bOY
zG4K6|WkXOj&_-S_ExQ9iP_8L^k@8B5f<7}`*nX17TuIU&6xfBTbQw*?zM@f5-x(g=
z#_Xa2j&JoQ_p2R_2czR>pprq6E#5m_`(b@_#Os{G)_e}y+|bTK1C!7j34KSuW`*W|
z-A!(E{hius6!%@0J=t_pgbwKRKbuvc48_mTIFfV{fV0}9@JV`*>(0GM18b-|-h7}O
zmHzpa$0OpAhIudDC!Id1=As*YAxzDFu6sptU8RB&_xRNDdt5!)qUe9awnXtH6AgY+
ze$7;8dmfip@Bd4CtonPlMQ3?fP4lbLyeZ_7o*?CdMSr;-zF=@q(^AcXa2<`tOI!~m
zU7<#y#8#L%@ePj+a`QA5{+IUJB9umf+Q}+n`TYnUNhW5;r}6}aB0sO4l$F)`jiacT
zaeABpkXP2#eYx>SFf8{W0_2C%1!6fah0V==Ql;UMw~_)p)r!xFNkz?Oo#`SVCwAn+M6sXL3y}E4m8uMjm@CB
zrFeZOyRSsnFci1yX`u#$AfQ=U5T0Rm#|unsb;#Ybhw^eUmRzQ$VGi?8;b^x|5DrYL
z6V^ecdq9)SMMr%7rbe|~f}W-FfTi8efO-*Pr#)g8%6iV}4n5
zdz&>vcaIumB3c28sC>Ppy;P4PqXN-^9&+~Csr~Kipq?fzUe^HR=LK2m<#SdK5N3Sf*K$71c_#7Ui?3L2=w3
zRH4ogqTHUp#(P6!+}YzD_<|*3&X-c}YetWLSW#3`8wMHd3Djq@I#5mVVx>
zDCcQz&D6f%qh9D>BJR>U0v
z_P&PLX*zr|2S^T?T|#2wQgznlcK&f%%;Wfb70QkxKWs_wXt05lTVRH|)j~-TQeoiY
zjv5mEBKN5>S|$DUN_rgH^Tlw+k!2jeH4n{aH8$hV0`|>i*X)dWJ$-thXnDiBHVa~>
zeXhbaU7c7X-IppJS6z};LMSVOnK{g^r|aU--u@x79N;f>(oVdI{CkPn8K>4u|A~Fn
z?20+u-Lk)v>oXR)hTjXU4ixM4Ia{b=H97Pq&#hT-Q2X6ef*O?|909?iBagg}Ag7=R
zLU1B3Hsr)5frFmu@sn)S&W?{l?C%C$&ssu%yfP;nl8#VSvOJE2_uk_W;q+K>enQpU
zNuoYdQDJMxgv#mhkT>4bnidLa%QKtUODp&Dg5Wl=)sg`X6G4-hr>6X6s^UeV<1Od`
z_XYnayuG9J>NI~g+(VWK`hB(vYiMmi$8w)c>Zp1qw{1zxxVzrPBuO$Sz7TTq=b$k*
zRGtVNAmZU}EmmXRbAV^?a)%W@Xk38isMD@?J{Xu$gs2hSg^&17Fz@1gd`Q->
zLWufes}8d0?sDy1IH-uDZXOx)>r)5C6D4Cgua1VW_sKxDg300^s^DZB#HD^hH|A4PL9df~<~t=+&MKeuXum-mTa{LT)THtd4g-d$jthNRrG1sgUT`t(}5F
zUZ$Bc`H7Q9qTr4=H7DDcsh>I1;GqD7TqqJQM(LMrHyg7wJIzSOMhd=T%=Oen5d2ui5nIW7)w2d_9d>82IyqGm1Dt~|6?YS=>=$8A{U#nA
zM!4ra6m9KK|63qWN41!USJ+Ud)0dr~Fy>zyF#GIDWG5gR=`Ei~<<2i*$eN>t(m$Cv
zRpR2HC2T%mfQn0*C=&zs$bEDh+i%UC*#aN>d9z+p?4W&-k*(&P>pL_L!kK2e{o2~n%?
zk%(3&5nvd=51e&tA`R4WAIbe7fr7s@5Z^<%?np8Q={~GB=no06rUd1G(|2p+c`3&c
z##ljq(V7NIs|O(-{R0jt#$a|x8-dIBa@B^UF~Gx#HDa@5T$zLpn%d-cP{`)dVIEIdPXRr|kBV9(cDswK`mAO)e7=;!
z#gh)If_?3HG?l35IgRPblZTOjp#(vo9bTA|R9+SF}K+$=1AC
zhJY~wAj}kAUnE(93>A63DNwm`lXl;ranj=>i+gQXD4M8PU5As)Iqmf1wnPY1`j;r9
z2OWT98dMGh^RNzZ6^%L1+3P=lT(5o`y^xUU)&O})Dc55l!KH7~ns|RU2;=FC{6wm4
zyzhJ$dAM;DxUU{U0jVa=TeEQiAlhev|g_y(>aEAG{!
zQ7!y9i+>2vPFvz#PxHowndKObczc&h8HH!&mSS~=+R4Jqtn%*dIGQ-f65#%V|PF}1y*+S>#mf@oR$`9hp%Uh@DN?r
zVpTs!0F0@l$ReNYpwCT<8N+;H4%7t9tgHdDd2J1^xAq{7;&3Ft{C4s*!rKm-W8lzt
zLOc(IM~Yr+AQ=PMa0o{wdMID=zJ$fgK@waaE_j8Oob>CthKh)_E$(@d(4;Q5autRzKYS!h^df>K&{P4Wv!lzl{wt%-j1H0OejNcm6*x)+O<4Eo
zRpM6mfA-#WA9Cq-ZO|awo~oH%=WBd~RH^O#5$=2=H#em=M;HG}mv&vEI)%}MOdk8x
zW)+{9=nVrpa_w8cE_x!mR@83aw>9khB4sq`AW)<@Hq)#3>Gr`Zp!6$Q5Jw(byWOZP
zdhsS!weigy*}eIw=Qy5!=ju#j?exzXKCou4?%AJjBnVw1!x;sd#&=pjc6}*fyutl1
zk|+*IMe+g$N+|6I@T76VyW*T1x5`_nP|W|DVdse1-`&BtDI9@;AF=MXGZ%^)(V&VL
zC|RRH9%ZI|{B*$k5=FfS`eUer*9t}5QZPkp)x@w|PrdnLLU+NafQ4N-`Z!T$maM9(
zIgb~C1Nrj)9X3{XAf!*CGklv&ar8;NwxdSrnsL4AddRGRvx{(@cVt6vMI2e&iT
z`<+RspG2IF#(#T68C8%pueCv_Hr7gpLWz&wv`adiRkIreiiY=@wZ4Q4f4t+>WM0am@%8_6-Axk&5
zU^{(HhL8(5hc%kPBzHHUjCU{pJ%#nZt~#!Ga+C``vSIC>9isX
zw~;hbHX%7#bu%EQ9_qZk&C2_flzX|zd+lPsJ1{Zc1<
zuOQ>Q(jn;dlRY<;j-eUO`E?Sy@NVZM$m&d)dy;(8`tw#`ZkS}B>FdvTyRU1<Ag5C
zHon9L;!tilNBeSD_@Vtvc!aoq*c%r`QwPm96$rC{v}OE$%*ppCj~Xjz0vMuAfakrF
z&07?}MMFb74e>q2FqswJZ6avPcGpy|JciY*WD5uJ879JUxA|l&5=(OEA%jQ1x1-}7
z5@WB24ULWKe>E{v65tg65W`zu;l7&75je(kcQgtz(J;IP3G+4MYuTS1{rR+1mQTxW
ziCB)^^6J`0pnKoN`Ab{zV)fI*BFoQjA)0qRSMMKLA@=mKZ$uIMwJcf>UfqL)J@Ddt
z!oO}KH9P4bqtGWhckq+^G*}+bz7sd20J9rh3`e6xsu%S&%;kimH$vd=1HLk|y&y}q
zn|XjVs=x`@grZA)$2EtQJ;cTKxedox`RjRp%(nVn2}A12&3cipax{6xWBG9^EL92-
z3Jd`X>;b|F-%It%o=Vbj_9|g<-xhf*g~p>3C@M%UQS7}5MB+0T;9{mUqNeDKb64>4
zQvaJLEEyLInLv$334IWt({ut!<+QDpnI*_J_dud51)_t(f=o#^ViejK;(LMgO^>}K
z^fWdT0~*URY83n=ODqyKW(F?D`=i~kI~u8qWdZ!;k;|~5eJnfrrP?S8eceWGIQA8d
z`IkL;72<_A=69q7h3cL}+^AUVq50b!A5LCh_ah=Q+}66rx*}IHIxRV|!>IFCx8yta
z6$>)-KQcXwz>IRppltKJhnr4$dohoL#7I~y!dlYn4lb1JI=3xVWV;1p{ywXp{+N-+
z(?=g)0lPHb;MdJ1k@z_D_HAMV1FNBi9KnxBiuQiFkiD78`{}MK_U~uiE9pa8zT7tR
zZ6T4m!i>T_uY`{jg){hsDO)_Xhk56E;gol?Mi_R+sbX5CU6?{2ciqPiI9b+Jxszob
zYbx3XPxIGywq6WYycqiNj(MEL(IoPeORK8l_BkDo5SJqx{~N~66{n`7F{Qe#vc{3=
zX-ptW1+=}@D%M_tqt9Xl-o>LkJ;3-e$({m2iS$V`h+j?8D(wfZu6$5J4wOJflZ8mT
z%perl;-v7}U%T^~2NkLj*{NH>)h*Q~#X(0A>rn7-jPgfX^RoJ%WDzoD*=t(4v%@8AUJlI>>@1T%tt|-fgUy?iNg+lbe0kuQct#Mzo?hi%qlm
zlEg`IjlZvewVYdCu6lX_`m!z*18l>kdbU!&#~kM@S3r>beTCA4%+-pPg#bk6EIWYXIuJ5Q$N@kdWnv${;XlZxHN-iFzJC?~P-~Jr9%3J6&ZG4+UQk
z_LVcRZMX@1C2Z|d{UGpQ#N2nMgrCqr_bb;NBkw<2b0CSv4B~ds%n)$8j-obz`a3ku
zz5$D~Y45sb(LhVViZ3T9>TdQwG`sohA!r4&5cyS+k=@@L)obi#`Ih!kqKov|UoJv(
zKtDkVG5{twCQiyS4FpzdAF4i@r(ODAc`nJ6%hUsb#M(qZ#~Ej9Y)W8jUSZ
zJ$$&~8Y08F$y7Yd>T`c|D`j>-5k?x=-~czNB|BGD6^(t&LkSs9in^
z*?EeZG|euxR+{|lT)=ECitS+3ST!_NeMGZCsA2o!%Th3dMcv1)sIBCLwvSq^1W_x$
zkJXPn=}`6`?(ObdtIYnD%S2xo`>9nHS2#$nb{7#wf_c5glrr7nF
z9rE3gWaQ-Sz|BD*ShY)9GetcYPtJqv$6>+^R7#W>PGGm`@S}GV%EbhfO{h~YLWL&~
zB_%?Igj+Wj=UvDpxBL6C*w4P%{yCRV`flnZ16(Z6SFS5~6M
zGrxHppPby98VBb9-_s6iE-tRO?jjr)M#nqz;gJ;l*AXbe&c(vN%dEXi3k!=y4=QlZ
zAj%X54gpHmI^E<^z4y9&>Q=2Vk*smV!XNW=xQmF9u`zBFxtD(zYhz<$|F`31Wo1v?
zn}BKjUu=wuYrI*m$r5BsAJE2yw36!Sj1$Rn&i$f&fACG7ft{KKk$dCZeSz*SLIMAW
zE{#&wguN{p^1N;LNtIgjlhz~sPd#gIW!TjF%b|NiiT~)Oo=w^EWBRtGW?T&PAs5L)
zb9^XfB`)dFzw+um65!jGqb+?qz$I}g(py3w7<2ZqgRFDMs8;R0FxO(&-#534aJme?
z7&8Z7D*`ZwLJRKao_aFtWii5?SDCK5c{I0e)I{8r_WO2F(+_EabnBn%p?Aggf6w@H
zhl-Dy%Y^W}vv(tXk#b{@?{*(@ZFdt%RI4g@U9W3g^U4~*%4+pblw%le_lqzfO$c<%
z?l=K~#hZvQXq
z5@WpNj)RKIVBl=ppyks3-k#$qs#K4(s-1=D6&_V*f!LoytP@qt2i^=*Z7@I5U)py$
z3iJk)nn6+#fXki=S;@vAU-|}k5DF{~GE*`FW<4?ZnLH2s
zw&mx&S8d!9)mq^PHs;-Z3~crW8n|iNvHRTS<1E+>WEJ
zgi5dq%MTPT%*XzA8502mZ3jFoT;6
zL~t~kN8^mf#2o!qr?tN4{D{J+r@#-YIT>inKych%CEY|7pIxy8qHcG3Njuq-F`!p)QX(vkd_hRMt8=EbP6#eJ(gR-
zLRPjcgyRVrj)1OFJtu^|w7(ak9uv2PVDElB)d)DMIjWap)pC@#{zbo4LM~{kV6RQf
z0$#ZZ5zyrOjyJ~&2!+Rliy5+YJU7fBSc*KJ;_bn<5zXv}{
z(pk*aCn&S2G<#ZInr)Ir97&0v)Z3s?7^je}Gc;#fOP+VSS35&FJY1t@&{RPg>b&@%
zzz-oqmicV2GE9I_5o8L^20I|wFVU+;Z@F0GtaM&~B9JkZd(Ud%v}|r4s*0O5k51X=
zLAbGZ3QjFvKfHPQ`AIYh2P_;N)tI?_Rwx$U%I5hge!v&|pJxo*Lipim+~!__Djb;*
zElfO&pn3UxR@ro{Or5ch0-gKTC+_dxKgRu6JK*O{6`&IhX&>|6H{VG#@H+vDXP`#P
zW*F*u20n;-@+Jc>1mU~;y?$+3Qo_3k9i^_3kE;+@N4{9MbCBs?7@-34Yr%J+diUV*
z-1q?xmxih=eiDH}uO4bYethJ?D^YtxBfs#i!MZP>ane%l$Zjs|uZw9xuY_vFIYZF*
zk~`3*$G0AP;T|%8Q^KZjB0u`eTv$Sy@=#&Tk+Vk)Z-
z9df2SE>O#jk|m%X2(AEo952wJbp!VF{IkBvXZ?MUf~eMQH>;TieKzPWvxx5i3yJDu5r0}!6Ul-FWY{{mbodAU49JDXxVD=D!|7SN5n>
zGL`3L^12_mE_4Y~XBgYG5{27-;wc=p9$hTza;+I~{MM-4zC4q}?Umab_Q68Ppt2{p
zn0R)*VlviIPX!58wfUP524C$B_8D65RXY*E_LF$9i19Gf3ZXA}Q
zWr6_!B1f!8F-eL6n%JUXi{HG$M8->6?po8Z%#6;hVO!vs&;`age{T?S{#G&caOw17
zV=*JT&js5+!=ZadpP-~#t@FADt3JygMYw9&%1l@KLTO1!zZ|!!unlzWIzL1b&o$MU
z%9^pr|0?7i@Cxw=G7`+=7XqOT=+&G6j9Lk0%6vP#-T{u`*a*}E*?~htLuA6PV%o)^
z)E*z_Svm#{Z^}XCn6Six=dS3Ui1D5rJjS9PB`lU}`Vj@WN)**)P=(z88Oi_S4plVu
zTkR4Ql<=#4sbb`{p|Nq+|4QMwn?^K$kSM&C4Y3IABn4#n7hovUZdyrr@h}->b>amt
z-bm2XW;zS~1e#A9$=AK0T%u>|u(+GwzNM(ysrfzLl&t9f)GqVrBUTHi&&S5sI?)uD
z;O0VQUAd)!HagT~rQJ)f`|PE^28$79jFK+f|HspN$8-IE@8eGul@+pQX7=7IJA3aW
zWQUOPBuVz(k?fg~z4wlg5wfz$-U&th&hz#De1F~i(bVJlxQ}zrbzSE=9OKJP-*iL9
z&?i5AL_napssh==0t18aHVRrM(;&r>w>W?CjL07A#dLKxC#z6!l0W)WW(c)6awr$co8T`oao~pJ9htV=zJ9#>w4F9C_2{yfw#Y(7^oq~vvl`_8v`
z3C5M3XTSMh@Fp2QIJaE`UM|WK;;coMlaDy?Is*B?K1mj?}NfUD^k?H;}~Ss
z?zTsM%+cN(}gSW%0m0ABp!%&bFf=r4KQVj>l+QkVu4>x>!YZ
zUy$c473tx6du8l?H|PD}%c4CUkxp6w4UD?C{dCU~rcVO#T+8fh3e73%ujMU#RJah|
zBuM81fU{mK@aoDGqOJVgbAOdqYxhQ(lV3kpSso(Fsc5>6@E^=7Tq3W|xz(dFe*CUc
zysfD?L&nkZe)8Bq6%7+w0VPqL7hV(wUqej3Olq>0>PKL4wcsHR0m)c_q%vpDg)*cZ
znl;BoleCL^pn@htbbvcn5X$>#;EyuRuOw4L!l(S?=KSPnh!9+=_s2XRR>IlJ@TeDG
z|GN?~_$dj9PS@(|i{#fSmH%!3uOVZZVCHbwN#no!2Cgx=3h&eHk0f_$jiZv1h{4&c
zW+|re7{DUscm9olvh2>*Vu1}_uqxB_!K%W-!Vc(Gd;@5w;yG&9*mQ~IoSZh~2`6gT
zEz$i58ht6eQ@&+?+vh1=%fps?1}``o_X02cK7J%4Z*Zpk
zUCLj-ygrRo;0q9hc9DF}_%XkF+gvZ7cJ(YvN72RCI1YLe6j>MDb*gb-8C|4n@r5`!
z`g+}eG)k6=tb)Jr9`5b92g^u;a%zfCfJoOwogdZf?+0MyD1;F2^
zbf&!RH!CG>h~{pTLN53@-~m9z;P4=sD(1n}mPSxtiGFDpN*n36?MfK}RvjzbCFP%>
z8|K5SkKhRy%5kFD=6gY+g^q@64#`(T;8@Qp7
zaeYVOG+COVp5vDg#ClMe4#0rexVRQ)`|}XL9hIn(hoXGT&wDM~g(3&&Jmn*g6jn%o
zZ5;Sv%H4Iokz@4OYPC0Eh2))5^uv7VAmaq`>ut9nr}0R)xa@ciIslt@u-R`~bIQRI
z!D(B@%r9tDF~r!=+r(EnzV(UsIRoyWT+*Kp3ob=JpLDeOa;?}sZU&GPj+O4_+a)iv
z4if2@`!~{M!kHqNZ1j&+U4vFaL*=MpZy(?_ws({+xinul*cYs)6LL%;CyatIA^
zT|3~dC=fdr3CX8b$@6=;<3xU=HT)izKNmYunht2@m3Dh_N8%@5#_PXc*f=;S
zV=EvDT!vRA!8KMS7caav)8gRS5XuAxasGWn@@AOjuO~J@^vtw?=F{J;k}ONaa^ElfMV$etb0jStbQiPKv{>Zc-2&j
zk^Opr^5xZa+SRvPgb)EaXa7{l>*FN7RWoUL9}ay~gy0#YtB~kN3KiScpEHeyc~uKi
zjPmxsqNq|kZI1m>9X1GU?>5DrdS4~RoI&dWK6G7%eC9v$iSa>IavwKVj)dVW{__xp
zGKHXnpGig&6X=;dnZ65+oOHE)lKje;@Hw(P%Dp{&%$8r+b*(=zUxzTY5KK@4Gl&`B@
zvn&c@58kpFmgz`|c8*5zmgZ#HeP{265==+ICP9m_`{Hf>3%(FM8DcsO;b>qBR=*_B
zPy5;vmQzu5*~T3|^Fjo)-Gaz+OAf2qPB>28;MWfG2>nJZvn*PgQBz#
zSyMaN!0LPvm|9A)$>;=_3`m|J?71+^fV+)gs{*if;M9}XR8P*kNGfc{=zv@V*UyQ`
zNg!~YP-BSvL8WF6beINa(lFuLgcXmuJe
z97(u^yKVVp0Eqz?qjL~XMFI}yZ}Go_v;$c(mY=T9lwkoM?b>(fKz=ShatBe!{6kWW
z=`J98e!95$Iu@(1+W*WSte`}32n1K_&#!?he!%eazpoC!F8IwiGUdfQ!
zXx_to%@EBRfXN}a7uY?+v=YJK?A#II`>}UWQ~Ug_
z^4lXXVaklJRoRWA`;9QCVU(ll;|r+GAH4TdkNdY+#78*Dx_?cIJ1LNjFu;nS_sjV3
zJzVUxJ!;M=)-hXsjb`YPJMa`;j>t=r?-il`Kv@(vNAfLiA&aAO2Vku1K_Y)us60Og
z2byX_}ZN%34i5syiiVojuEWFa!P`P~3FZTBEoJNs{eeAi`?&EK!$
zKITV1{Vh(*&N7%8mH$?ygPT;S&>w9uuL+4oq~<(5zw`N>zXW0E(rMi-Y-O^fX-G|atE7gkb0C}1NPoq!kjcwo4v{|J2Ptu
zxNXb7<|p3^2Z_8i3#sdozZ_%kiVxjF?_mH90)cWh9(NXy8J1==u(|*np@`SNKfIO!Hw&oSu`W^0raL`=d60A-uU#%u)L)CHtq8jXr+=^#JKaJH2034SzKv$^^h1NRnu9u^@rW$?WsvsSzQ7($T=YC=9A1=PqFd
z;I4FC(M^HR7Fs}FN9A*Z#PCwzD88*MCH9JS
z!w947om_={repBB^9}9Bsx6Y9XZC8NEcu(x7(rH!kha!QQpuHSMF|Kf^fR!pDB%uk
zVq4dWKVz|@rPAFSzGuiSEa~b|G1!SlBPeKe!dYHA$_6ldC?g-22@We6E;drjQ8ODz
z+&M+5ng%iO&4F5^GMn~wJ=)0it2S=Pt5|<357^KLCgxqgGOfwKYTa|js4VytDF3Zm
z=*qv6;n%Omu>-Z%ef`b14Oz3o<}D*8hB{BXKr`~Y)%;K~eP_FP>rRJ5o&EByCfyYV@t!GE3THw#Y0@x!~*zOFaoD1~Hzr7Zr*%B{*e
zU>o-8_;GXGjS#pUed2`eBkgs!-^xFk9X=9Y*m1V#fBow!^KnVXy4p88PusgP;e$@~
ztDqfXxlnlj{MF8*^KbQS0#hF<@1Z)re4?Le$@Djx|9vc?3f`6$^G)vO>s+tHP)quW
z%Jcgha6ZCCDL^WaM;3*;#r`30^6%iMa!gK6qU>V*bQ><^kQpK4TZEFC_PG11G-uIb
z`~4{=;|mKJd~N30v6a~RQ>2y6Q}n;Pwj&tulo(K$IQ&xeX1)DdL&Gr4cEMyBH1let
z<`Cqlqa>5FU~i7paQ|VyM!=0wkHm;wLMj?!e9`9^F6X^9PVh|4e)r(yUIzUcHbSP7
z;dhHUw{R*ezJ@E*g5CGuyWR;*sKDm@$YY^V{*d{Y7tyjT3}5PE0kDP9)g)kIFW3K69C$9ch@#X42kc=z{h`j&jYoFV3l;=spUw4nQ-C~
z=D)3dgw*%FYQaa`iPA^)77(Qq7N$(TFDqx_i3$q~L-PB$regxDh3}O~ltMza*}k(d
zrf~PyDa)~r;-ux%y10+!WO}?%k^xpVZ0Nsz>yxutN9x#@+11;b9Q!K{_`d+LMIP^-
zeCA89fH(l+u~Dn$GR^<4I&wJ5r4>K3x!I?EXQsg
z;kYviz`Mder`vQx4|1yJ0qWTelgw||s&0#EK-|F-qdIsG`%muXS&)|FJL6z(K!yb$
za)nl%y&h^`@fZ67rf<>HO0F)+3YCdni@@_J5
zF?PAvOm?UgVN7yoGO!5t~-7)8zR;g%y*|cyW{AgbjqLfndCiC%ZHycwi
zTLOnzldLMOzmNlTU|psW1n9->?7%-pb(WtAmR-t*X5AztB)V3?$kD$!VPnu`L;&M0
zB@W%75@ZhCyD{NEuzq=UhZea1U28gs)uR_axv;b0Ufps{Czz^B0??2*`w%OSGby#y
zc!IPVD^FbeZmdSL3?N})(ob%H!12$YR^-1LzNe3F4`zKT^k-u*mC_$P`DbKKX5F=3
z)S96gz0u1hiJ~W}Y}ah69`iksB@6D{H@yS2{*igI&SmPGG@VV7CX1H!TfHdiwD*@z
zE}Re9wV|DIdeZJPYLM~3<$sii9Fmc23_lFE`#}(c-;9R1$A;zA#E*HD)2eUk`hPvr
z8)@+``}B2m_|~PLo^*nlC7t-+RhoaH07M8M{CeJcnsj)sllfa0RZG>>eTyW|C4XFY
zZ%vyR&TJ&B(Xin)4D7E4S>IB0r>71+H&slr<{gH+t^Y7?wb%XZY?Mm`+5^y@T8Rd6
zH}vJjTe+We*4eqxaol$ua)wDo%(w}nCo+>ClX9QrJuB+`2mvlEAy@jw)7yzVZ@Du?
zGE7NpygZL4>qx17o
zkW)im9qu&fLWwd=Sv~=sY};D&OHK>Ytbwed%?xxzvpO2k9&fcCJ=4C8e+zLhp#rYO
zNB~dZGjbzf*omrritU^F&+lK)mGGrc87d?OCcf
zAJxBC(pp)xzeL1xcUc254kIhkj^1Yv~RVEy+W0Y7K$^r;tUwNri<+tVj
zZ({0)HO!WLb?EzQ`?KGTnqGov0Pqz>RQ6lWJkOwcxywV#3XZN%A&dcd;!1qo>{Tn-
zpWm&dIC7obQnk`SdV0Yh9iK&lXhC;+Y^%plC{l|3jUOKx26i67y^J*==RoJHRi}&O-($Tng#-yv}q-?^5rn^iJ#YLr&;(&T3_fwW!_1-QzM>m3(NpHxE
z?ABwghao-?$nXB*+l5bb2t6qfHDQcaqRjcdBR(LmNa^7&
zYTtS~p9VVY9QjYZf;h$4tj-7r`TZgBsmOx@i9bHr@G@IuXWIX%Y;z?1ZEauNl6zw8
z77OazaSO4ZtKl`E1wTmlxRqWBFTVNZJak@>{*)ix7oQV&2|
zI)hw_BrF%G4!RN#1=sLFxA5C9j-f(=9;{1QvX&Q1D4>%eUN_tR-`}f-wRjchwSIht
zgd(4Yu`#Xho{O&d%^f%!Q0f$X6O8;Uc#+f2sZ5*xkMeut~
z4JC@%4#rR!&anc1yrTivh+2He9vx`vRTQ?bU&gh4!NE0U^_W}GNI-M2cVw(M?kOyp
z5Iak^*INwQYXIRb3)f|m_m=bpAEFTd@qIrb%D%9;-StXH=qy&7N(bCAO%^PBKMa@j
zFrHd(-=hm;zx74X@!PRalKH6RWLHj{j!XS5*ZFhyDV9-(Ny}dDyx_O$Wfb4=BdtI)
zp?fJa=j<_|)y&8IzWlY@bcjy$kYXSZmFZ=>l-?x@(JI^j(Zx`RYbtKFlKpq!MIuCz
z8-6et1QZIP08SDiDnNJ)#;kN3zv>r#LFB#~o%Te7DIv5^XP%id`K7R8WsFLJlaHnU
zJCkmm;4A!o#!r#^85S&4EG~mpn81XD_J~ZRPFAQ_PD8q3pfG$8`@ny`)kmL}L=mSB
zW`*c%D}a1a+d}(uAQ2`6tbtQy_R5{C&o1;)mJ#%S`0rWa*Whr(1l3GJvBOsJAoP1}}5%c*H(T9qL2
zF32JAMp+MPRP#+!Mcd%GT=yF@Bg8CX*s(D9#9Lu&tHcZ-j@01NhhehF<@8@#JtNq3
z5~6FeC6ANwJ@ev~oV(*)(>ySE2tspY%H^(7Rybp~-<9zdY1zE@E^FrLD<-Ji*ioAa
z_=V`miZ}1ce7vTo82%`5&o#u^q5lqG(YeaOR#u`D>Z>;YwNcWZ+?oHBDGQZ`f8S~+
zOr@qki5Ew=++sgl3d2b6qmJu$P>!)0;zx30^aLov)zyLAYxwqz_#L+oAOo4IrFYl15wO
zr@CRENNT6uj7DZ^F!^H!hd8EKDvcQeXr#27J<~f$CHGxBDU{~jP6JoZD+U?8@BZhy
z6qr~>R$6!{{s57c^X`w&YLw71aSYSy?6Y!?0bfO55R~;EuMeW-S34zGO9#`tHWA-eGD72D0K>Smcr!)Vfo#JwNnD4hy@&sw=L-d
z@#3FApGo`8Kb;8Df9i)_HQB@Jv>yCd-SgH=*A(KBDYH7zXjqJrypiW1
z5q$+3KT4|OPO50xl2}kRb8L@PR?kI^m+hu@suAOG77K*=+)PnI9RySFEk;DqSsws^
z>8pGw|Al^ba!b+z*8&eyS9~0y0R5$k|EC3*chgz0ee;=FKl@#53SDxAp>ct1{3=Ko
zlTY0ROR1PYA00lt%gt=X$7}Sm3TRv2g5F2aZei$n17SGfYG`j4iw8i@!+Y;LVjp0Z
zC}i;Qn$emYVHgJyzOkj-dA9ljX%hhH`!*}Rz5yB5oGFuZ0%NsU{ii~iD6Jqx@!LVF
z+CPUQ6r(Q}&0iA&&m>cxnA2O3{xent)eMQp+n#9hCOP(nR<1m~@seYeZ3q2ZX{0N^
zfTjY6hSg?tdnh}`bB1V-hj_q!U{qtQd+{=G*o%}s1EoFX&B46jW?*-1*S?aG;lU_}
z4NU4H>7>VHv4*r1iHjiQF=fR6F)e5545I*p5%td28
z{LlU=u>w*lFwIW(5$<|Et_;6F?Y$8?XZu=ci;20dNrtDz-IefrN<+Nw^BaK4nao>^7&E<}mmbRM#_u`ieY`N7
z8*p6`MU1!xo&EF%0RYFQIvrUgJXWzniq>9#`vvGZ78kREM-HLTq7UEtLA)0&fyT;V)}7am
z{}G$Q0hO1F9f((V-IgPjTrd7bg;*#742#)2&r_y}ExVfZBG^LdoNkrxj+e7|%(4{!
z1`l)zT`laML@|ntG3Ey1RmD1sXPyexk-E<7>L`zd)w^3_LUS45jQl^CBX!Qe(h;f^
zJ29KG8>pFG;IoTB{HK2aZ|E033Tq~PfDwp`gwxAPf-V7sq9C}vrEpBBnn1}VYNDX}
zG@6r>x}%I*$W&7FmW}46q3qwG4Y+RSpETQLf&(*mKQ+in8IzDgqjQK^l1ZXi$lvQyNvY
zEkuI62(s2?P}ez`>Z7&htZC2v_wKuIB
z$Io6q+KnGc7f0`J4n0y4CvGn515T7rH3zbiln#&Mq)P9pltmfDowjZqTPa
zeuHX(#*`i
z_BuOreXg_!lx6&p`2#>@%t$dHU_jJ#RnP;nEJ;!PHFm&#f)Uok4A&bF&to*jZ-cV{
zqX&nvyuMm!_KK5B4-7kg`JGHigQ}Ah_s&H{-8cT_GtWjD(8Ln+Cf~tEy12BG)h0Ur
zXBr}7-3gzJii`}O`Vo5qn>N0-gOwNd(2Dd0kjP6HfFcU%I
zzNtnL=m}zbxH#S2e~5^)fvFMCvo&A_a=f;%uj`WWV)+7{@X}kNYazF!deIkAl$NBEtg8Vhg38`9z+5Zq40>dc9wE)|&!jSIiL5_t^6=owKKL$Z3H%
z71!SAhwDEN8%?(dRMATIQO?sr8~;}D$waDT5V84Dd
zXGuqij$*aw2qsF3J83~Nt8i`eOd)ouDw!+9;x;^F=z^%rK
z22w91^%fMxb0O@AhQ{FhaXG>+4Tgi8ov4II#x}u=KmufuQc8h^y9h~Wun{&tUtU5EL}(iQs2LiRkY-K
zNtmF@1n=XPlZo^e3`OVxTQiBfA08^IKP5RjDMA*-huw)TnqYI0uf_?%Xgv(RtEt3j
zs4sXLfrRP}Y98ksPa!xc4)1-3{U~7$wTX`8Hu^Sjg
zSZyb)*e7kN<7APrT4;*y|9rl$28+da6ti|Gp4ma$8npt8n6Uq+sc_+|GBKCw#O9*xjnVe36y*
zYts`BvVc*lcB!)ZTBw!Y_Rc4y8oo!$ZChnO$}4>&Mn|xN$TNL$m-318o8*VZw;pW9
zbQEX-9&}@nTPEX$w_H3MVRt3%1I~{urXl}TVz*LWG8!zUV}fQBRc)e12Y_d;H+Mee
zv6AxeV)H!daps<{z2^;l6=%am?&^TQ*D7zQi}{B#dO;dfp=x1d9k0T1m+AnZTdQ@^
z{tt1DNUsDU5IExEo-f5%FMeb>Ri6?~AYT_{Y?`Nqj7Kyfyx{v?8CQ$gCZ3v)CLv=|
z*dQq%@bb9s9H$qd6Mb*xb2VEIp*C?8--MNkm8LXXG9BKaNu_{RXALQgU+6|0G2Dsf
z5*K^?iPzAytnc_ZOw6|rhzih7_Qa>KePR7M;2$%1Bo4)W(1|MA-y7F}-a|FbNn}*m
z{(bdwr9<~z{7rXT?(U3Hqf#`C4Nv{HM3ZC=
zx*3?`Zt-YN@l)@IpF{CKv_HgF@l`pb;8i()W@InMK6zR=izIKnF;$zCJ&)g^crP5F
z+=!1l6quqJz*EBjFe_uN1am*OR7YXSm4`9+vC~cb0b8?Iz5_txjhEOL;>~XW
z)Q7EJP`<{R$vSyyRHfK2*At$1nes1;v9Sf+^fmt*$mf1GbZZVWDl&+e_p2p~1;X!`
z%-M%%zi*6@;sV>BvFcr2w9+&_QDIX%40Djz?ZXn0e({0zSLFoz@kf9faGTxj6bw9%IR
z@b0Sq!(O!1aJhT4tl?wFp+V%zN7iCThc4!6^M`upSv6UYZl`Fjcqw{>9%Q5f&;9H79QCZnAve`|PmY_Dd
zQ#@>cPQMwKxRw&G0AXrS4QQ67ro0jT@A07g+dP@yAI)=hh+s?_y1F)SB#z8@xUKif
z*RIOe*f9@%t;dz4%HDa1&a#;tIW+G{VPu3Rp3jMEMq6`wiZeRPaWzf9F)#t%EMw
zj8dq=jfpq#|IkBe)Wf_1A=)!m@dr(x3Wp;f_E(Nn;-akOuJvTw9#b~k!DbNBW0xywFARqWxG8idFjw9z{!H)p#s&XqqsRz|hW$(HF
z{KTp>$HXLLe$Yml_@j#H+a-{}4(BOUtI@ly2^vnou^pN9@Cu?<*=-_w@Pr2_y*Fs(
zn%~j21J-eIe^(UE2;Sd-n#IzWd5UEWV2OIRKxgsW&H8V^Kf-RK<-RaABz3bjL~J1#
z|A9hQ(+Arwx!UD~`fs7~<$PY%MG@9b6)rnaHQLX}UG!pOT_f=35>6ku1ktAVPO?Gy
z_gYMV75fp;$#9FU7UZu_eEu(kt&-9L(7|haMU+oGTUdNGxPYU|zN#rKkNrAE$GPM}
zV@oW>u{@rJtI>i|$oUMWNE0tYvWSZZsk)#o
z7uu*T34qqY87|>A6Qpz2h{UK`xC8%Qz1jbT$2fSm!aX&_-V~+LFJ2I@RFxsdLym`0
z7q#UaT*dhVku}aD*<&qed%Sk_`|0f)sATRC5C^dh57aJ9nwPMNXhy)ws*x%Y0-w8w
zQX&i(624WQEJ%=}(-56fS8&K4Ebq!;GHXrWK#wVY@dhFMOkPEwj8K%{GIg&&(1<~O;tZaS0p=hzjRr{o%
z5PwNQP%_5lyHMn|S97cB{We}|k=lkp)l~JF)wHRBN#nBvjm$otyCbp>dS0kLlsIJm
zvhls}q4}F+)DsgtjiA)JDgM2`&Vd3ZnKj%!nYx)x^_Kb8yKwI#Tl%>gYFDw*Rjv0^
zx;LHrE|FDlOP)yKqR-oWWvR)WS6VN}MK?z~e-b0K{Yc+4%zyN_nQa>*X}q_9(~6F+
zY5J0L#>3{Jp&p)Fy~lymj{#=AM_BboGU!3dMAYlO7w&Yso!t@}Drg-@#UQ${^A*Kg
z<=7aS0_=t1S2%sE(-N=th$Gm7!}L<;g%Hs`>fcx~{_cIYmPoP_(CJDj75BYTSZq5Y
z;0y^|Y$57)Z3;zZ`*-?by^*`eYl6KrSBH`TOGi1=2`c<$ZO=esXf
zIm?}xvL{|#5L8(a-ptd!H`O+A&=+OOCFp7uI3HaWA&iG;`A*Xz7V+6z+5iusL}*4{
zN~QENWRNP^3XLs=F5^CCEF->-)=1bYAG}7SDGl!Od_IG=@t%O>rpMCha@O9|?E2{S
z+LK^9fdl8pg&ldB5;KWMY-OSh_?~~R)Ot~kxSMgSCHMWn|~P2P^Wt1fQg<~
z$omz~(0ze-#N5>Su+$MV$Y&la&LMU2e=S6U8iO4^Usy{YkqY;B?cwMcv`x^B&cm5{@8gd4i*o1TD)!y)|Xg-#%qJ6ge1(%#T)w
z4u9m!4oq_VRF$4T(tOKUNsaGf=pk~6sEFgBYBco`c{A$6u{YADge{%Ec281iVn%WVm9xt?Et
zdGC6r?ox4kYKbolO-3|J?Y$bl|BQ^#eU&mM9Ce~x%}{qhWRRY)6+Rqe{`n3=MaS*3
znf|wjNA?(7Ik>Qh#QI0un$C+@qoqD%R;jz4x>^s*OdJP(ap>Xb7BgK6-t8CrT;&HF
zVQ`Dihm$M;Ut^A=CS=`x;C$~94|{=tWw;*p&H2z-LQjEtDJ3C1?YFWUw?1JJ&B>JM
z^Td|x#-zviymwt^B?!X&?K6D$pHo;Ur)a%w*G@NWizs0rBKv8;81{JAOBELOe15}1
z9KqI^jqY?o9>plPZU?d5-Ou{e;S4f_@`-NOulaRmQ3(BxUdR`nU+p!?8RfSeUXSHo
zV9H#O*=r35-DkhX#Za3hFnEnvhrAhy+KK9ge~KyONOap5gM8adtXl1j&krsvTgCco
z*u^ynmpl}aMeSEXd3|N)%oDDcCa$FyZ5Hp&dtEW%)3TR*!*_qp9J-*>RPm?0(b0i_
z4d=mZe`l_uvlxS_yaeg(qCWB!y0B|ZUBBkk;BGie);3fkF-JQTvHDJfY0>e+v(+GG
z>b4f1nGrELS8r=LcKO%GT(4ozY=GmrWjMnAqGw!-%aqD~u}DGAO>f%0H=_r3XYWLW
z|I^8uLo4+W`O9_VZAL_
z;nZZ)-x$zCMV1R0f*7F}RR7xUe5So_zD#X=%lG1rPTQRq^TmI=7g8@|Z&SJ0CZc
zZ#7cgnqJ#b&hfL=nH;8Mw5d{W2o9>*LsjkPQ+p)7q9UmG6uEPdxzs*|U@
z+nxV}NFI7`Y@ACeuBs1(%!Txed>^q;em20!UplMVR2e(#R>_?8%11%Su3lbG#F8g1
zv?;>Qh$@DtVHd8>Mme;g@HcT;6g=%ahLsOOc!-Xs_ha7)cX9J;;W@)ensg{);d>%g
z`p!$=vgqph7JtNt%;)Q{&#|6vm{95y`MA@46?|Yyc%ua(VEVf|P3Ba;t-1c&t&ymY
zS(U*t$>sfP`$Pl{>wGF?=Tv>cw;k&Vbxg;YGf!Pyb>?pRDC@Z;$1^dhA(jYIY`3;|
zGY2ndmt61Ze7*D6VnS4t#?e}9G|JnBq>xC0`lAhGRFnh9EUZwBBcI==?d?PD5*(G5`Hk|{ALDH+L70CJ
zhCHs)&c(GloJXUCKGA3Wiga!6r6ePDCx%~=@U)0b
zc8)T()Z_dH-xNNSZqc+eronE=%J^ELt|oN2WnZwxm?`qHnoVTMX`8#mP-
zwsKI38Tb0h5;)wfrcAnrSZw$f(1=7+*`iY&m-+2yQEr7c$dXz#Q|P|5Al{>UB*yaq
zqJ@2TY;E&(w3haF4%(
zj@@~(zh3RR50U%{T6cIEshYI@PuDD^LTs@y%6FXsy*`iT@eC{Bj^T6iJ
zJN^6^X}O5~6y5`!D7ijvsJfD(dsg3$!^}1B(!PjZ!QPpRJbkW1@&dgb6C%G>1Fco_
zJJzdS%^I|$&a`RFx`#)`7;_iA3|bHpd)Z_=3pkf^H5u@Q{`j1BITRN@l{E5`CFIGR
z&@8O6Mu^IF*5U1lS{lUZ5Ffogy2by$NJn%FvErqnV)J}x!++7;<;gcVraV-qIl2O~
zPA-f&`?Y5Rw+rVt-$!g5eU)0GjNV+SnCq-)_9aJOcpT4cvU!4`8R7KXmQe?8L#b>F
zGuoo%{J#mkw6&`aFS?P>cl`?}&XFARHLJF8pC^2w+{Zb7?hiq&PzSk_wn^B^L*4mB
zlEwu0wr}!v$bMb!|9GBRKU?wFO)O>xdBXo3tu{K>0ON`jx9L%Mb2x*A^ZksD8um*E
zNi8mJih>|Gu6Mreg|tyU?BDCS>b$oPp2e+d3ud30EV|(Ih^*iVPtwx1=)hh35;noa
zK}fNp^8lUG&)1w$CCpM0sGu&k
zbeGCU#Gy@TD#R|&@AvQ<+6F_No3VL=0Vb6}xTI8_3Q*E&krU
z;~OW3R{s=!@{FEtJ25VHHa-9o@ie>p&VEy|)34u$izi_PwH3u#Q!nc-dbe_-A*ea5
z4{V-@xU^0^6T3l#`1{O>f})Y6*^S!C^61O6)(^8T4j&#bw41jg7f0>lnU@Tha*-7o
zoeE{x$?WE=+nuKwKQRkSB6#JxTBvX#`4`C3i0
z*&|gF7cqT`8z;}EUdBzZ{x1lq$lxN5vMj`Od*$?3TA&LSXqadvW?%AGe*~
zyRKPDLB`3a=Dm~GA~(L4Mt%bnURsB>Mbx_3cdMAE7lf&CO3p0>a9)j6?(O|#gcF;S
z043jM8us~P(!*xW37iJY+b_!_Frb3ndpi>!9q%;3=g{rQ?loMh@+rmd8Et59~L^CDoc16wMET0N-%w`S_LBn8f$~mCoN0
zR1}$|Hb;|T%oc5{p5K3YrEiL@M$ao$AIS_h4smlpNJV;$sHdF@rgWB&{W%@agFBj=
zpsTNhEYZVb|L32_4fCFYVkWb_>S(p?Vdd%yM_a}iP&UGGf|aZltW-xWpqn`RAwhbz
zhgXR#+6TusQ&oP&kF(~ftC*Kgey4*YjJ=dhi;%
zAyrJID0ZoZR8ruph;h_olPI0F{Grcby7CojQ75}_t+i{N+6goe`JTBC8vsJt7ZWn5
zXf;D#ps5Yo&-Lc*V<)BVADJ;b*SxW>KDtKz+*+%U6tdy(yC=0&D++RQHqYn{s#+^a
zxO6p(zj@@F$jQP+aV?i?^Z%0mVqQjDwqw1czU;JXBQb97MReQP&NHt|BYbqUSNAuw
zBpsWDYSae1R=-eMuc9ZGFu}I^9(A!S5s>57qS?unG_FX(7AuFAOG|Wi^ZL*YCfG<=
zF_0Hh;aLIYI>_j`XuU`R$yh$_9S>aR%-(1($b?@viTb~2UH>VBCeTAth{7H9So=LYg}3+
zJ0~JXkLrI{rf|s;_+`8pVsh9}C?`4K$bbJ$rg(KaVPsfTLJyELDv_X$Q3Ccw7AM+v(n=O6*C~!e84axfENz);cZ%%s&-LKZ+_EU2rPYYl0
z@KyWfDCA{B8&(@kB~J4(FMCTtMgPdOz^XQdOS9Ly?EBcsrHpcS9~)U>ac$~a4q_Tz
z8R~e*$Qxq+?GZp~wrBAsxp46IHFf@)A9-KpslwT1921Dd@sFh9#Ra#_&|BMN%s`)A#5vU
zQApJ+BuUoj3Ga<`Ten3*VWCLkehYzd-Kj;Az+c5_-dBv!nMTB>J{>Z}-o$TJlK3<2
z&QRVS%@`BIetMx=KdgL--xSZ;bq(_Q
zh6kh_W+A?ra&mpg^Ear(^wTQ1Z|T$Yw*2`_`?uBJ
zlR%7W^M)e2Fw&Sp8}EqnZhBLNcsyGo+FU)|?b@qp6-rD({
zoe|zWO4h-B{&z`1nIrdi=Eyk^05YXLL*0w^e;Vffr6&1N;6zC%)k(86BwI5`v;w`<
zG6{UGJM8z`B{Jo-OVp%zwbW@3-HUl1rW%At5ldM>={pz3nbnRnXuVzY^zf`z2_sOtgc(06FrL<^`y^yn3*R
zejcRda=LyyR64ydaSpxqQv!V=c20|Hf0z;T9BMu&*Rtl`%)RoB47A@kYQFMis8w!#
z3V8wmA(xvof{VeTE!hm0X=jP6w$sHAFzSYEo1Lv?Y80wu^uumhVRI1Ijzb~<1fcq}G)v5Z6o99)H
zr-Lyucc$&0{x_VvDlB^)Wma@K-~Bi
zBaMo4_!WR+Vr0zW;8y#^81S7B$mO;D+_zXACBTC0oOz3>jh|TZ^eI0F)&V7D1CBNybd|E
z+Y76?Q^2Ew?H<41+s&0G$}F=s9;Tg|-7RYjAJDt|z`HKUp%F97qq}Kpr)R1lhZM7+
zGWIK6q@TK}g+1xgtQ~_3(K&&wSLr*8OHDB2bcSo_ar}78QApcIIFPtUo+$8oy
zyJt{Ly>o#AikiMm&OcFb3;rlL)fM&l!-ewBC;?iBwy|tcK)}OUBSky->klDS4SJ;|
zWL!{my|!ydAyr2Dey@-EoWqi2`Q82NO|M^yV|t61cDp+Lyb$&9*}HYk;RPjCd}tiK
zhvZ!?&#yQqqefZtUHby~h^}H+yYOZyjF;O&BRyT=MCi_bcbmUrQ?wKHZHp}=ai7D{n!F=o;$Hs6q>=Ga
zWBQwp^)1Ewu#roms9NM~?(OPV#663;rb*5js_eak9#?zvI=|S8it`e!lL~-3Fx%R5-Eu#rCWrh
zd1v`OuMdCl`0TQ?^O?E#+;h&IX}=a?)T6u~flfH+?Tl65U3TbAuHW17JRhDlr!o4S
z3JVRC7e`TRk9ZXKkcB+t`$X8pCu!{xlfmauw5TmssmPG6LYgsAtXQ>Xz}oxgr?c3~
z6h!M_qxMwO5(us`MuR3Cnj!2H68GLP{WrhVe@y+F3NRTj#^fMQ)yTi@br)$OAiy;J
zA|t%CPS$Km6R6`4i3^p+S(u;X!4`Gl08k7BzcXLn>A#ODd>jI)-7yT#MOc}zjPtHJ
zhJuE(UQ3#4cV=bw`hq;#bWeAQLjn{7Z<>&Md=gz%}#J@@$)($ZJ
zx2E5}v;WpXk5YKalhOOXC_em@{i8ZYZ_h83&w3bE$v|C^;Bfz|2z}6|2+T+3y_NOP3Nd7T?o+4uQnz3>-?{DYBrE-XqX
z;}{ap?;%%@EXx-5WGJ1?MJ`s-t~y=lt0R0{cRbnu^a;j=*|TL$h>G>#TnY4C39#4V
zhoL(VViVuWyhoLYb11n1`$`R`?LYFaf*n1ORui~PfXMN-o0R`41OTMNeKY(EHJW19
zhz41=27!shFOlAMlI}oSxuo{=Y!#sl;lqPv{4`0SRt$2OXRJ6llaAHW=&#;eH*Eiy
zzq;kowxGusAvgH4{`_kg2+V-s2D2yT-CD3fB8iwyMdBD;4
zNw7i52^p8`XTzqRvuiX|wXx4-%dp=#T7KSim(}h5JU=^)X^UlIAk)aLa=z+}gCf{-
zc+M`|NHQGOD$>hM?k{x>8!xtrJ;#CoN&yzYZE@+6hWVuk00MYKvrXUedvN?bmSqky}$fz#tYT0I+85VY-h-)
zsuZAFdDib{a{*9hV5J7kTZ|!{xhRc#jOt+5^Cqp)-t=hLm#|W|=gp?p4!!;e^h391
z_XJNsYw*4)+dz_&rS~`pzyK)DEI)0kl02)dvHGnw
z)0R;2Gv>UAg^i>|!SKz-BpLzXS8!JvPoA-GMG@kr0kI
zX$7O9BI+!v#)||>qS8YHIE{^-cQw~i^$DNg8OhAKkM61|Rc5KhOT@z%|EA$n)A5>kK^+EBx3+lhtrK*|I;~LF
zC`M*%C1~;@DA%MAKOS2|_}lZ~12km|#D(^c#U%d!ctk+38a*)C(gKv#^6I4O_3CFB
z6A~x5q3vP(NDbdx740*y{fu`lrdHiO*z3J`wyh)Hq0eUCGE_F8hzK1lf)=Pwk4?TV
z$k#mE*kBz1*09Fy3tBC@gP9d=MEZ$gk?}ktFO@pOZcS1~S@{Fh*S;8sM6618Gzm;u
z!@`d3z&wH@0{!Az;G0!y_#B?(7!8PBpe|(7o?yZ4P=48K+x>KIlaMv1wTgpLz0T!@
zJlR9kFMnYcLV?R!3>f}2fYA7l9S!J-I9$de+@(RIQxExf;zX-K{8`%aU{V)#<mbT8TmY?Q;pK$mrCeaa8qf(*-ah+i(@DYd$1X|0}YQK3>NsD4RW*Zw*T#lhML
zTeEkNig6?WNwv#9n~0iC(jGk1eoIzPRM{O1C$38=Cd!*{mN)T?r+?Wz_BNUOInCmb
z2NUz7w=H5kfU4+w?ECBIjKMD=-5hW}w9T-0
z&!2h0z>XGfh6X~?rALjTG=7GCeHrqe@SB4|c8x$&eNxQb=C#Kw8i!Nq{(N5_QMyy)
zvWTGz;3SPJ%*C#SLeW5#spG)FPsV7}yh;Cwt~oiwS`XGRMsHiALXBm&w&&~b*(<1!kMdQ*q8$rK%lP26g
z7Aww;sw=b(OPbNwNZyj7DD`wq)YQJ^(5x}aoDrCaYHkKHT=gEhF@wy1ukP!Vt;~2Z
zIfUbuv*v1*<`f!K(2LTPTd07%*$@!I@+9Z}lEJi(FvF-hhbHv9_70!SFy6|6K%UJQ
zspR;$<%-wGV(bOlxU{pzemNeTD$=oRP#u@QPyotFc&#d#aY3}Lw6SW4-csu>xNRR|G)~P2D(1x7rKts4yj+2b_ZMu`8ux^k&JIFC
zBe@ymGT*AeKE^cSXFXayQ6#Tl@xPHJ{SO8k9UAGi$St1yB1^C|-=sq{-epsVnasB@
zIWa6CMpM|!^RZ+-8^2}l96!=~XG$MY@$zw_dlEc$zsmh4H7T@yBk@J^b459xwny}B
zZzyOpne3R(^z8zD4JON5{^`4}xM=
z4A=-_OhkB8sFV1vV1>fdis2)EofqtnjngQ`CM!Sk)IqUyBIRfZ7#9hsWn0Hv~W!*E_Bi_Q~d+bbPXRd`W?4OjrtbvLG_?g
z#M+{U2Y7!_lQ^7zaeQ-t@?`+>LnAKer~<#A1wR(V)s@iagBP`hsDKREi>mu3Qrn#|
zOy$E5As`OJYCg#K3jHrc(wTMzRBgD8LY*
zAE!L7t7u@!b}p`H9Tj{aUd!k{%QZ`B@WZZz#!x5FgWM9&vkgBtY+yXzYhDcn;Raqt
z4HTe}nNgYqUAu-9|B8&>)NyItlIP>o&vH!W__fNuq(p2~rtrwQD+4su8MqizYll)c
zKg2UUJd)Godq2&+y7nIOR^v&XVWv
zTTDKy$igqwZ#6mqJ;(IeO|!RFL@PXGI;WI^pG~_
z0zQ|EeuhT!y1y1zr+d0eo)f5WHP+h;(2)3ZniG@)y<_9o^0}KqlJOhP`M|t~pO8V_
zS93O~97-@;Jl~XYTkbfM{e!HkulO>xrf1?={2WSWTN@!44n~KNr>8YmRI}LsTq%9L?{L
zq!_LL_BjcNF3YOeX(-}M1BoJ^?v+}q)b03Glg!QhNZ#p1D1HhveG41{)iHcG{ptRI
zI9qU@E0cdFk>$EoFiP?Jd+XWxdLlgtttK!lA4ecX59m*wR#K3WK%WL$>v7f7eS7_D
zZ<-{5dkYq@)!Weon6EKKYP96&v7b@_Ur@M9f83&Gv=7y64GxTHWWp0)>*_G^ul?6sSir2}sH@as2v5-35lx
zpK7mcho@@IQ>b5ya6~f;5%!I|?Fm+5(A#b8Lpa_ycs`yQ+1$+JxW0|G5c<_}u5-uz
zdBfbB9c6MXG&UA7>QlFbh@h7N8M$9netWWya^TYv6-jpg;i1KAsC=6!FHYBZ#b^hG
z0@4@!G?_B-99)Zl`t1zZX7Z^}TrtzP_6E8wQmpwslC-TOKsJ7*&q<)4MnOX!er&W7RkB0syY<~u*q6wk+Rco`;Dmg$CdvETkUJJbu{dU0kfaW#h&mY*&
z!|;;jyGo6jz5kmCgO|mZyq>pb$49Y|v;-x(sy0qP$Q8SJ?s47|^43ZuBYFL+H~)PR
z_KPqQk){paCjMhO20d}JzgP&!)Xl+Y${S04nrZ(nE
zjjpwA)d=@N?Q>1)TnjWHN`SP9jd9vfXM5c0-7?~Rdf@caK9#qj{^9h-$0LS%v)?~H
zWp80)V+e3@a{Z?oqCND8P@Mvz3%R%+NiubL_M#ui7yrDC4x9fxWGIw}LJ{31-y8g5
z_39(pS5l|F$pp3HxwM2xojNx@R;CMf*93y#CMAs;xsg3e0C@;Ji)upwg-^M)$Gh5P
zXXM&m?N}NOf6M}+iU?D$Wt-Mc9Z?aeA%s%7vR*wFCU;v^YiI6nJ)IN$m1Xo^Y{|uh
zYsq1NyloPh^RRJrqsOEpW-_e&NW#Lfnr{BVuCE_wh&Gns$>q`cYo;bsIZ{m3kjeb{
z6~*HL)-uMb+%Euw)c_s^tnFu|LATei+_vi8lJ93L?{HgpH&NN4sR|GSO;4y3^Z~t6
zVwR$8V*y-9-^vktL!fOBHiyPO1Q$#TW$$$Tr-k1q?O5_fwhi72R@a$UISOx;5&7BsIiVWV>
zJZamYmxI;PMMv<+je#kFg=-O*XZx+wProIh8o1Ka9@mC!mvr_hIZetw03Vf78R4~|0~caYUpN@xt!PRvSy=6eNYDMHqdMrfelSCi>wj>cD!s&PiBeEB!=xj
z1E(io4Nf|(a_*Z*Y)e--`HaERMf|NF5yrh@P}~4pbMwUXidOT7tghOm;5NS6s55A~S3MF$*cy<9i>0g;<
zGm~wuG;3uL!6yvAGmRFTNz#pBi2&Omj4k}tWMTP0PT-cj+jUxx%C-Oe?g^`L;r(ws
zPCpQ?j)i6uBJ2`m!N6k(?2R7;whkrM%wIeg)Q(BoHHG{Z&;oTO?rucUeb$`)BPqR(
z?vs1?pLhVT;}%EbX?{~DKSVfQOvFm{^U<=_I1#Ye&{oiWnH8Axm&smsxV`bZ0_()2
zBXm;rI5wkDY55$Lqc`zUK^|R$ovhtIm!>)b9r!-~!O~K;kJ1LF0>arv73kCIa~uFF
zAWRysr43mQWI$pEpAgTll4IWgBXgrr<)CZdTsKSP!p53&oXo3pv|t8=D-ia9OEOTU
z@7;HQvG53eBb|!CR>AA@DnF(DXP0(w7>J)z{?Z+wG}Y?>BLa^XM>hU$W$~j{7A=TT
z>ALptS?y0iz!-1*Pb81WBQY%bm%>LPiZ_|t;?w5G;ucWp=PHUh)7)%7@HU`OBU=H7
zMLkId!5T^!aQVWr0W9nSOf}^+qd~A!yP&D=Wb|bFZzKZk;pW228u*?R%jU^9j=?j3
z(&4@ted!RXf?DM{$0*D}mBsKt^cW20M+6(;h-UuR1MdC0i-BEH=u?#2XF4qS#Z1f2
z47rTKC~J}SQiAPFWc}r=6)%$xRQoWs-u(B_CsTcDGntJds>BF5u{n3%a%&#V5e8tQ
zfWf-Oy`WtNdR&|ehaG-fzQ>kD-7G}r^}#ihXZy^JU-R~N4Il7D`kJzbOos=bl{fxZ
z6ZsxgFQ%dy{d?)@VmbGpSZk)Gt56CcNdLDp{Xif#asliEN(w2qehLw~=dzlt*mbG4
zvj1A8XlmKQLzO^R)f$*x%8903@CE^$?w9c{Mc)CGrPP248&KW|pTL8d$ta4DYIwpd
zDP#fT12{|7^uJjnQLKMFmhyngusHNojQ8(1L}CcjZV=AVfCIyz^VK+f%~jqR=#O32I1vwAAxqY{g%=ZvEMHk6PD^>QZpA**(}54
z@a9i?#KuvlOKFsM)eDX5M-Km?;MLe#KX`Z?qM3H%)*tN{v0cfc!zS{-hZ+TgD`CD_
zc559+nr4>j3J<9R0;-VS9CbTX)(UWI;Ilh+duegP;GkZulgB~Rh
z_FZ|8liR7E?Q2l7dkGsXM(DapvKt
zgB&KQ*`eBR^*c|RaOE6u09x#*`uXVIUQ{lNZ$m;EN&VJ|#L=sOtef*%)q&G(fm0G09`w?_DdG-+c^sunk8!MPzxDOviv|i4@MHrs
z^0apgZ7ZgM3sRJm1Z$r5Uvs4qS2uUm3!0x#F6GKz@CgF;lO3{&Z2o!RnU2ghgay6i
zo!X~zldSks$&9=GQDL5$aR0L9K!E+j?=AE?J`-`H5Nkc)p859&=LM>kO{NCqM)JI}
za<8(oLYZNx(uY}Mcq1WZ_Ee*-74X7%*M;aubld0yp=3J*i1wh?J3-5QvN!MMCaW#C55~bFS?$`v)l1l#HwcEU8bD&vv{)tJbXMEbfjZJ36EuaUI
z&G3o?q)|w)85R)`&=h(#
z5}1ee?#xX(*ijV;VnW*S7?}~U4VXUE3G3(X9yPT@z0D2n$cPVAIy7faD3jZMF+DZd
z7)O1uKWVX%n=Yy9HfONMF)ovskRD%wD}d+)KBphwz0n!yj8L~&z-J$agv~&i^6^xm
zTB=H|@zCWKl9-Wr3p5q(;Zs-MtzUG^L}QaEzf1r()_B#nEvOuUEyX!N2zR`yB2Bqm1~m@R6wdkVLY{Q`aP{p`PQjIL_3ogP_7-_D=tT5O#cEibN4t{i%)P
zGJJPQhYghuHwpEq!RS}4Mk!#PED^;sv(lD&z{4^p)AmxhB3*D!)caSj2VihAM`uot
zo2*R*#=PYN%j#ZDcI3wJfqtEs(J7IiJS})mx@;^|#6`=chia{!A}gJ*+w3k=pxI`Z
zO?UgmEu&#N5xz40yQAVa|AgI_mR8{k40s(M{SwEnk#bgj!oY`R&mb
zZFPk1zpBWrr6949yWDS^W8-l+Igg)vc<7|lll#O{QQ~f8(gCOf
zk9{Yg(Q&C#bkQFtT6NZ?jGIU{+7>scQ+(QMg!V*U{x`xuU@*Q`iJ=il%n*;{FIa3)3fQ)HVM>87v!#vqUdfYFYh
z@vMMj-PNo%yZW}bX-Bo~)`AlsIQ@APhGeT5z=pP=r96$>Tin|Db4Wd{Tz`Ku?tVW|n5uY{U=PVz5$AI^iHSPG&ECb~A_z
z)dtNz!BbA-1Kd%&+p_rxH1{DvVA%o=i?F*7dihm9y34LbT*Q=X6II7U(Lmpreq?JB
zR)|)(z4O^RiwL9R$$8cmcG4>a-6X8`!S_H=zIQ6`HUgj);H#h5-(SJuwI;+u6x<+-
zlv(|+ErF^=FIoi4oIoMsw)&ECbK=
zAFyUTt;cYcR4^`QHRV1rOZ^8%gOW{qMt;_!OtNBCKT+8j(#w)v$N+|2fG};^1KAn$
zRjht`O2L765-%PP-6*rs2Zc?g=c^ot6y0IUxYpXm8a~{h!0wOXz+ZC0BnTX1aVM>~
zAW}_!G-%1-U%t+xTu9p&@6SbzhgCufwc_b@U)zgZ8|Fa9(I2q#JYdVn-_-kxE;w9r8QM)5-5(>bx_IVHe
z7YCy}8qEV%Ca#3*#WXGmu?DpF-SD&nGUfWMiUgD0pNh08;5(hFo)!&GRTI!D
zn=;N#WE#QhQzEGLyMVL_9%UN|FjZC87qDzIgZVKY
zY(S!pCSs*3p*qv@bC|SV5UdrCiDo9lN7Up>mXt>8O!aFW=J$N*fJ@7N)iQH0P!fDS
zvZF_>mXJW54{=hPLsfy9L%loV6~KZ}U`vOK4h#ZIv@{YKh=6GiK!t)IP~b17>|11~
z--UE)UVJE2611GyNiEhq$nyAb`}avlovY|l5(_@MO=XiHJ{GY?;50`)KNDzak}-T?
zE@K?%pbtv;eIm@C8?GLQoD$NYfX{H)02GJN|Hyna8gsTyGao?npQjFgD$yPIC`9fy
zC$kQKEl6`RMNh?4!M1{V-FNz9wsfZsihh|9sOa#C1QJqLanRS-)|Za~CsXp7HEi}u
z?8#kPTWA5bTE3~h0ZvG11k}qEGdphsUKE^~xgGn*XxA`%k?$?fH2Dg`S
zeR|G#y&!wmNs`6&Bl{LvTkcnyyO>!xx2B@4g(Q4Z{c`8<2c`R5KXA|j8Y!mN2$B-*
z4ca)P!;$MdQ^hi%HP6bxYg2Mjut@u`dgJJ#KmFB2Oj5Q3=cfstv-XE`V8sGxI|Q6l
zvg-9O%j!HtD2&)W3{Kw962*7`wilS1uHq!G&oVu64tW#D%q`y9dfPhF$n818G9Qe)
zTBW?!VO}(yk2oiZZqpl~L|#jwg7=u08O{OSLLd@
zZS5;?FqCu~xT3}Vj}Jo_no+&rs~Pbh)8t0jU@I20*1C;xC%_AptS=j;!-C+2`0M0Y
zaC9NMqX~j$z*hhs4)Ea~k^OtTEFkxB=b4JQ9R92g1~$htJO1FkJ9{obd4m}KbN1^>
zCw7vHe>FGn9PjlPzpa&NblOKP7)o4H8nB*G#-I9fG^-RuftSCU-0)w@h-mWs5C?Y?#5g{?AAPibAGx;g2%>qHYfGHRE8M@L?F%rliIb6j*dqUur=0w;Cp!FJ531_bG49)+5k%#
zD9FJ2;q-gH(3Yls*+ZEWLWpSyH27eb?<>2CbrV{kodGP6(M0+(&w+z5Q~(iRriP9F
z1}CtD)-QOM>}_28%eJ8|9bs5J!**C~i^*2{#@h+K$Fssm0
zi5LkShLQw88i|m@;@x5edBggARwk3+NNy*vcFs>ml{xo*bIPyTvTA^w!M}n~tObF!
z6YnFE+d~rA@vs;gMD}W#Wb_Ir2)CmExcKVUQ^>n{Kl1w@)j$AR3?sNCAqbxryOdoBt7ua5vE2kmdLSS5uRRwk^^
zuWUWNp%!5_xgX;1G-$+#dG<(4U)sb5ASG)7Gy$~iVMajmxCUs(InR%Mt3AV*;pJ9r
zb~~lN*D?IRyzHU7v}cAqSS-JFl}MNAXJg4xYZN2x7&c}`(JZCT~pQe
z_2Xy=o|XDzU_*cv<;a}+Qh+y(bs2EcaiT6Ki`pG)n~^M0Vb-<77>fcm)G!1w9tvFn
z+x;guvY`7W|1B+8-CMuOXGI~Rx_OhGq)mKOer!rZ4L$EyRB2AV1480%=q^846+Qmi
zBUFMXrzbLnKgJx|3L`_x)lZgyIK0uokg
ztMNbY=2ax%{XzXqLC|8f+b?_Le4QC^iwtPb9lZvZ@Yd@Z8TEpTwPVaG;gyxbzRLt}
zIu5Qz4wk@4_91h_rq7@SFU0tztl_r5KmFtZ%opi#I^Xzf>QD?E;N(#Oj27T6!sW?<
z<8f&XO}57&ZP)ER70>DCJV@4eDJsuI@C^lHLq;xz1b_-|$}{UH#tFoeGobNl((LIf
zhmKm`*4F`VAk-DGi5b1e4W7|br$B{h)szPnpeskQUJXUh*>fZUcetL*=xd3keF41
zuPt|1F3Dn<h@xFmVo&)jtp8lkUP?XwFTJfT)8#7;_lT4pS{%RhsOPLLoiGBVP#f@SMxKMuO<=NM%u{i0qRtv7or3C
z$`KnlziE@2Qu!-qa@73XWuEoqK}iqnY6Szl&A7hf$>vZjd8)u%xF*K!Dg4E#kM;YH
z-e$FfYv-3=%D-j0BF=x!GPa;nR~Y^YnZWHtbXdW{iX8VkX%HATrD%-
zu(X}^3ZAYx2Y24TxhTJ-&%F6p;Jn<071C|0oPat0=)=I*di0$vg}Fm=uXL&v4|eY;w|9&3P?hnF8zj
z%!`A?DU7&FGatrVU-e=io?6m*{-V+%q8JFoQ6~-^(K_=@8c2Yv8!~kuq9Z5GsPNhu
zk`vHET1oP4HmZ62y=3FkZJ8Df1y{r#n8k9AHqG#P3i!_*{D(p;8s)TyOx@tZx)5+%
zU*%5uU=^XZwvRX8T-^~(z!A+Exb24+a@M+dDSb89e$BwXwet^u%6zqfSBi+8DKA5$^-TCkd^-
z@0C99e|v4&7(49JYX9S+PjLh9L$fuNjwTCC-Pz{U_;oLXZSPe7)^kR|QLDpdb;3^m
zBTRciUzh4%okdffRrW27ukC!mO;Ah2wd8%d&!_3rT3!3NXpy363kn=!ZlZcGM}SevuH
zlRwHm_P`4WNOop?U2lBQ)O|_BX#8_E=)PM9S0WURt~Pe91$$UXm|8>V-rqXyU9h)N
z;i1-y3dM(Pce{1P#k^t!e^izAXFW0i^))2gVTc7`-+#Hxq4sk|w*@;FZOHQJowKuk
z*#&&h+dt|zn73D>x4zrU0+9JupZb%R&*Vu@%6wx&6O
z2k0qqna#tK2B?%6{nI7V#Kt6hbMErxPkHy&MYi8(CZ1a9izfX|r^sotc2B>T7jElu
z|F`oHrwZ-jV^e!zo3)
z%oN7|{`J9Z$V1krdqpIJU1$nCM?+;ZWlBuL7g%IwYtI*3gqRd2IL&2Bx@zp+g*DdO
z<3K8mi&;vx;g<+yo$XTOE6A`n6PoUjEzI%}`sc-46yBKNyc)Qr{P>)s<*=Bwi&}-1Apj?X%;4)iZoSog+80f
zha)5hU5pD~@q9u(ui91Dh@9UiG6DaT0zy#dk{@g}l4&@ClHF}SZmXfaV9wLF9nrj7
z@Ma}4`tp2a6>n{6Kyh0w3EJYr8fm52Eu^|LA!!g%h)`^d)k!|)vJY<#eoC?+O%}Z3
z#L*K9>!@_Vfpi(u$#<@Y)N|p&rgbUX4M*y!mqVolq@=qL*mn!+%@xf$_rn(y`7_rd
z?TPD@`xn>#zN-w29m#F~@-$(J(3-i>6lPDP;VcP+#+wjMVk@!VKOEySm)DCz5r5yx
zEPAabK^r*K_Q}#YlI&NlRK&GBCk5<2?!e4z;fpEJ?(_cayS?MxrY(tOS(YhI5v=n9
zXfzaPhVaX|2gm)aGSMNey1bK1Nj(`hPf#^7oHz>YK>Vl|T=IJ0HR^Lm0mxpA#T~Av
zI-2?WGv&R)lgT8RE;H%|S1yO&0g@#gS=_krTL_B;K~7|JL3npV?F^w2hek(e1M})w
zqQLBz*8lecY&p2Au*x`lK|Fu)OsPC(zj82qj!k;{LmIJImr4+_{*dYsA9&)j0_<0Y
z4-}zRQ{F`j)cfdxftH--$N5+@%U_2+X^~cAplP{LJdGo`Z0!bnWK8I??#^KFCvCI6
z!G6vdL&z;5GkByeRm^b(++q)b`0l%AcGtI^lxq4bLgSdmt3FJ+L4E&z&VcyYwuUe;
zTPd-Uta;tpyBQ~E7%_lpL@ClTrBp%AXV{{a!hlc-
z%31L8@!{Z_FYndF3j#6G=epclmw(TQ2K&^htGK4>l6z-G_bs&NXZbu^)fF6LWQSQG?d7kPe-p&1?53=I;>gY&
zcX>efE|dfM?;XrcC}igSeUVQRAZjw{1Z-eD$i?qtlliL6=&vW&F@D`Y4&YssI8ltz
zW1>htmYPvNV)Ot0gj%M691VfwTcEuQ8+H90x$3uXsl|@bPm=P#kB&qGD!q6WNXMtI
z=|YR&zwHR-#15vNcRxSUfCmL4)%uQRpQC|og4Ut@JDfN8>HJKwN#o1VX$~`x=|8<6
zQOSzf+)Y$Klh0ml)!9{|#Qf@w`%K=LF0(}h-uNvt#)ZfR5n`EwS{OZ)Vhaz+6n)zi^2+a?7Pn3iuYleDySl$v`o3JBKOn}FdLEjzu*P@0$)
z7v~h2;mDC0ER=X&tJr@8MqcdDb&zy#zqY+*dp@sOdrIRMQU4nTd@mvDEp=vLRPi&W
z;XFW3HpW(_`*60)2qMJKP%o-t-+!u>&*+v0-~2XPE_YRUvV!2@N;Da0`RaIw6V_|@ByEvKsy=fp|y@Z_p
zLpE`c>EHw#$}qwi;8*
zD*B_=q1yop^*hdppvCrREl}_i$)FSWMnnU6n0ISyE6YywpO?r$f4D6jK`0)n;9Z$h5r
z5GUK}=#-T{C4mPl5$Nk8RP!%NUY=k-$iXkm55oPod`v!ePJJ{0O49oUTkmv5!E?X$
z6N^E<==*^0P3#ZB0Z?9Iz29wU(c`LUnN*b5oi=|`B8dSg=He3s9w7)2nxknWM$OzfBw!@dlgN
zbC5BH+oLew&k82Phc6ve7maepbnUM0q(~Q@NNtQoRLdiE6?9(YO7Qm5E{^_pDmpfgeNLSskiD@T)3t#0K8*-28Un~cST#G`OzirgeB
zZSC&uZX(o6O}p5h8L7*78M2lUN?jp!@1j?*5LgNl8#ZAPHN|Ypp3K(b8sB-%OD7sP
z`Tu;V)E;BpA0zYv-nCy9c0*QLe1EjQC%`|4wATv#+Bx&*ctQz@D?uWwKq7Q3O^zRT
z<8r`DPJB8m
z19pyh?dxJwfn2kKwqJFrjEyB68$UuFz~7N^5snyBerU&lcX{~XGdlol)7Zg`njQc;
zbM1Gl<5QGU+k);-_p23uCV<^m7ahNOmf~html`@|RagoCG0yYO<)24XUWWYgd61Lx
z>};7F3(OaYv7>Pc-u_I-bX3hFFKXw9wY>ca@1}pe4-af2R~wcBhg%&VaLn4I5WUR&
zAN{U_KAij&#{O;)6B|Y0YjRY@4rWr@@*TtN-kXPZkn-|6!3hz522kn>(Vse7FS6z2
zh#f{dFs_Z(xdVr4((p3W#P4ZC-y`$
z5y`)|eHI&<7IxcE8+*`J9pSjB+i%MoTK9$iZZ^Ur?h=bT%d)4G%=p@w#tg)`DYdVJ
z7t2n2J7uu&Y+o|CZB}b7Cz)78z0Ws@N%1!*iQst_US&h)rL*$M3w%)
zj8o}ZlO7xajb&zB6DO{ew%A&&NRC+N-k3p*&bsL-z&Q{^?5j)x!XlG@EoBvzL!`jDba{61IYKOP$D^W)*-Ex)@x93Ydfe{3&DE0k
zAMGh4T1qb!!A8%>m2#H|ZxO&-CCf9nUVPWnueQ-2Vmbq}Dv7R`4&8zsL&r6{O{0}4
z|F@S2oZDBYB}=x>CSA}P_pJA`<7ot=6@0wyr5=*^eR>a>8g%cWq%$pVIoNB)YCP7f
zJ>dL~TFG#46r|Zq18ZPsO?uo-^l;r9&s+lwA>bjZN+8>itl({h?n#vb=Q)cRNLlr3
zda>=G4bzim9BJ-jJ#6L}vPzAr6zI8bkf4jQhD45bM=8yx^pmLRPk7
zw>N2)7%&Ur>DSAZ#>LCEljsWvKZ*8xcvVs)vXV@d>UprotMqkv2(eomQvOxDrlAJL
zgnu*f4CMgH
zC)km-_<@#I|9oHf7L(UdO`_VwVD10C!ONiXZUP2FGMBqNoM)h>`gj*3cx&pK+3-S*sC
z>YvSG%nWZWtp0MN=qp1eW%Y+{D6*9<=~7~bw2GV(pVH@to`0JSx4KjNYh=~#h7h?s
zZ|%*pAI|44dt1=J@t^if9tRr2!M@wp>QL`oak_6?+TSQk&c3Un>vwm#v_-~Ghkg!W
zzL7C%vYYEDEfv`ZXZzDX01w8HnUJk`cQF^JES#IpESt{DpFapWIDE`brN%@{iRMX(
zJ()7M)fasosSRu=fb#f}!M*UIf@Hy5^&p?u9Ys?`7k6{ur$n9~{Zpm|yjb2HuLm-w
zX*q$c@sPNTqM`*A@F0Tu11D$$pWJVPRSmH8j`fIgAVXlGICUgsMGZib2qx>yyH5R*
zUG#b95qoNiy_W?mDbc6aB92J&0$!MF>F*0zt**S{1(7hO<<_BPRwmA0;^
z5S3=r)Tf_EMohRXW~_lV`bs^#NJFa%!@`vft{e1odBHOevVEv}EJ{Vr8
zqKqX4J9taz=$Q1OoL(7Ax*-Ywsk6#=o%DjqzuLKP)Em1Is(Gurt)`}py3!w>d}eY4
zSh$=|I;GDSY}bOY?uIWbBK3(TGsE2Tc`ew0ad|-Yi}UZQ?hd5)L@?d2b8;>b>*zT$qpNYW>z1Gpr&`s8I^KbQ4wvl
zxMI)p)`Dkq4_C+|70v^8D*%)$Wvq*16(p{oM@9z5Dh@C++%@fWvVILZ=Q!9gfKqS5
z`D)6N4v^#x|B)?t0*=nK_G~FKurWH4M71C3H~Rb4&d+;o?XF*lliBaXhQKHZ#~WLx
zE9#>BkS&x_0%Vyj67amVu+ry@fS>@#sGJp*s&m4FRHgvVXapn_Y|DWjOa%Zpw-1x8
zOQe3sHCU<4nS77Z>KOM>O~O2TOSX>3|0ET@_xTsqmrrD?X$yJsJX3^P{}lV3yKC+V
zwim2&Pes=`dG?pa{B1)XyKhZW1=iusuF}R`-0RkxtJ4rmmkkF;XgoVRS{R_sU-b`b
zMit8ce%|4cexL=-8Kj&30EOM&-wk6th>V+X1j#V_2SOMmTO1F0VMB(h!~Ws%-D~=S
z&$8?1^sF8iZ92T`rT6Y%_F1xj4HDFZ`0p}=Oh_DW?UT~wkH6*TR*vFj$LsWUWKcYN
z;#zUKc0N=oZ_E&AKrT$XyE|HIXR=^D$bR>TxXtc7s8q#a=A&=B0XGmkmC6f&^NRfa
zvY`6BZYzIMm<}XAfI)Om#|nIO@JX6PjB)~bi|&_I3Vw=xLXKrPU;Xx{Vs%1KKLxg5
zeRY;ydBciK1@S7Vp+j2IwF&brB&T}*nF*IKH`j|D-L|#`F)s|tji(2jskz>D+Ua!@
zqmTjL?x$tvh&`5ah;mS1gUi2&-ji3u&ghOMuartnpHc>93a(XF`FYi;CmsHCqD}PK
zp(c(mn>d=a$v$xgo5nRapqQs%
zQq}vYfhYZW+u>xJRe!#(k}oG=&g%-+b{S>Oq@EvNdJ%@U9J*~yyNM*bXH2AyzNS6=
z^#Ks3_1q*GMLOhbMX-lV#Jt?A51Q>;5=eKo5*%!u1BdtRz*hKvhiA&>Q|&pdU0OEPY7oRB2iiwQalP7_5d`ri0E$5Q;%ssMr{R>6(Tr%*YrNh5D*Jhl6n!K9sh4G9q*6V|3u|W;R{zWA
z_$9scVC90RLW}Pm_isa(O#5(ZpO>!gg%TAzM#hv6&D|c*b2|<2=48#$1pS@HM%*Uc
zZ$d5R;1_QJFxhIlXDyb=w+z&u42BrDtJ%
z1W^O*i~X;>LiP-xxB`g(P?$5m$n%TC%BAbp6y@4Zi2^7X4tJF|ru}4lzq~&f&8w_-
zbgb3w)h~)vH>TUgWf=b?L48a=p8zMoyZwN%rZgj`)-7pZL0N(w)-59?ObbYHZIpzPDdJCv3voCD?Dk4g%h#)B#NP~cM3?b6p
z-2&3xC;}=9g3={Ya_P8qBcLK6aj8p6b7?6lzkU6E-+%pQ&6+i9X3gC9oOhqSpZz?~
z+3zJ_A7nF+J~n$l$lbbthg+Z6HTt(1Q@~tlO^n{RG}ld&YO&d|3zq1H;y#gyBiOZ)f@slNax#>hB6u&?U=Q2?-
zuP~BR8RWUP&p5vj{S6mryHCtsQC+<%RPH#F-hPdDvU2=JHeHzF^{tKV`>#f@$r8(t3w_%ohPcj2?CZA7xIZuN6HlWasWpCx_GBLSXwTCb8DG;@+
zxt)}z(-LOc0}1soR2>+Yv6xHqV*jn%CrJ9D)H;5XQe0tn1U4zx+hppjSLe?JTKaI3
zbBM-o$u+ui^Ym%`A5V_qq5z{`KU*@iDx2{~!YCP9d`c7>kiYS&zd`a;%OJS1&aaws$z8@MT
zfrKd=5V!{U;WfWHmD+jl#aH4=j?}!%w6Lt>vND9RBrGPc>8*a_|CKum$~qw
zoRaJ9JTad_$XpM5=r(uuNNbF@YUo8vfTGr^sh{iB!LRss>ty3JbV;sNMypjhB7fo4
z@@z8~MfD4;bY_rfQTjYT9+41*Q^L!Y8iv;=%fVu}EdEl32FI916+h%H*(=1!yiX)ahcY0A?|L#lY7rJ8lNG}Em}5RQ%l8g
zvv}tcF1o!hUzXGku~V!~hada3x2=2NM+#AxB)mw~JIVD};{^)*20MU9;s{USX
zma$(Yh5qvq&+=I(6W&szLZ&rObM{}@ZhxBpRlzpgb0he;P)%j(ZBkyx8ra0=*ic5F
zXdeCQ{~2`bwB`JC6YD;Vl&Tlc@{WY>uWyRVhb8}ZlcxnBJhj%Rw*iehcp+<>6cTPNb
zM!Y^r#oP_p)wmWU5R4m`%k-&>Ah-@X4@65rH$M9Yp%kdfte)fy$?~*+cs418nI+SJ
z$c`t{R!Y~nC2(y=>Pm9j$NE=N?zM>_HlxQ_G}E0-3C1P;B_Loe9)|e~Q8;u^{|XWS
z>EgoC^*73o;+mA#G=8Iwr@aTh+V{L?j`W4fP;1Fz(wxoa`P3^P3)>KT)+@hxpxnWe
zk#EMB*UAAW6O16g64!5SF0{0@VP*;iQXcHy+Kef9|YjNB2E>wt*t0Y|^
z2if-culez~CY7_M;7jiU0t&b$uDEQu>3|ofL3Af}BSDPNl)0&f@X5tJTo;LN
z$KU>?FTo=*_if~o)%QPzj}OHF21Rv|;rwm7x`aj1BMSTg&bQlqjOo6Kf4;vJ;Lh8e<%Mr7Z?gN8%3OinPZ6OCQpVEZv;C6H
zxmeLraT~Z8u`eU7kg&bcA3pxka^cGRb)@#Wh*cKO%$mlv>S|U!POYn;KPX@1zP>}h
zlaxVQqPTjP4&S$F=~p%Qx41M}T&}-_ct_~B1r&-Ni;g*_<;fR<1fK`kb^LQwm;KLq
zg#TxgfV_lwqBj}5eg^<>o6ilbR0P
z?BzB)Y;tZkgsTb?b9vTYXwq*_!^B7_@q4W9t9w
z$y3k3dGci9rcCiD8qYcQ$rLx91}pwyWyd^Hih;(1@#9$8>BN)yANylCJcBC~Jk@v7
zmn{TvsOi&S3oeHm+))?Y+qymP3heIftSYWIg#OlFt{;?&f3Es}UI6J}aTEPErC;+R
z*3$Hpgrv{%b5npMiHgi$B_Xm&_-TmlAt&>ZYZq^*3KaUgVGG!SXF@C+I_FAO4P^W)
zD3cI*s*bwhyKQWWHR9LX_A-CQq)WG~OSP=q8~WUT`ga;zK=yp#vuY;@tXnn0s=}#v
zdAAYNxo<_12>B+zxO|NSs5+0ls6(jzB9K!_=K5o152i?51zR>3!bl{MU+u5mop_R6
z^cqLP8P6Si_lvJeO>Hb0CG7MLHlB;_=Gon^ks(f>soW;*;4lXR){PC&&Qyu%Im|>$
z9w4XsgGu<^-C(yO(iL4G^jZe;hU7~^Ms
zbv~W`vP9+Oaob02HCJ>?Ka{jFD}wQWS!aE_X24@9L|uS`kNr5aX^QL1DKv!O`UHyx
zeBP`lll(Zyq#Z@RnzbSDAHwK)NF~xTXEdlh+a|FltvGco`SQPbFu`#=pLp43oiApB
zqzfo>v7+av9r#b*OJ_>s7j*&G*P7yxqw`XjdVf}oT)oR=qR}K>@pfZ@lLcemZ0O*t
zb<$r1`&jy>#O0>@Y!q8F-WgPFr&1Io-EA^j&*~$V(5j3jZ?Mv2wtpt)p4^{UtDnN~
zh*9mPE09Pjxz2@cFCI)4^^{w-V7)VnU@{*Gwnd^Kj#F#|P!SFm+S`V7U1l@W(Vc%=YzjO+;NpTfc_d|Gq=J8Sr^d|SAu@dI2CYNgE8PSlNB#?J
z9js1y3wQ;W29RJ_+3@i%n7F#7(sfc(roLLU4lFzYr#H9?HOnfR1zC$$eQYb<^eE8f
zevvy9)DL}3_0Z-2
zmqq0*an=RfWVMIc)yHU@-`=@@o(+*>fT!L5Lh;&9?v#uk=#7S4
zs3?CiH_xn_-$zsXtZe8M^m#(3Yfu(G-4rXe#i(p?&<$=7Tvub=weW1FjB?vp=>j*s
zx=ZuN*4y$_Z+#Am#y<122OOj+gP?^dO&oD?Zx2&7QrSZ>wPUYsgI|O6s!(~rgpIODV6aJ<@Fba5oP|@d?K6-YEb%4fkuTl54WXmfH-$S
zH{o58ed1wjz(vF@E+QW%_HiCrk?Xs^NUn=)h*0fTwHYf5Y&T+3921rzKZQgaD=;m`
znB#n!)bU=PhknLP9)o___sBMFSn0a!fcOLx5by2TL0=70Pzs~L~i;#@7T{$uz
z`EMHXD>aB_*eQ?4V@Xcjgvd(RE%??%CYBy>u+Q^lqk(%eQF;^?h!ylo>C+N6`McnU
z2a4(@Gd>_Sac;WJm8yTFy8aMNk1)CWvBO$?GBf+pic_a=KgQ^hqqfr8J;z|v#`nc$
zIcl<_Y?k1l%v3ulh51U50@eRza+Mc$V`?PinU*THenw32gHJzT{3R!2U(VjXz#A4A
zpR{g+>0y~nl0h_^_`9r}L`^1DfCA>2^V9WJfL06-m}fl`3D3KDZne50Yn5`c{L$r4
zC%Wx%NQq&h+pOZm?3#~wffT|F563rw)%C%Q(X83n!(j#f$IpKf$Ems==;tpsJTBD2
zu4DTPlFi%7&sk@5cpU%fIHlcKV(>tn`JrAaG(PiwD|-$BPA9q&d_+x(4jIMPFfsYx
zrTrWB7{>L}017}WK4o2(jq*&45I};ec&_@x1%R-6L@Do?c!u`&yjo33NvlBuxu|1C
za5Ts&OLDh;($oG&Ra2ScPEVjUrp1uv?u4=~IQymODT~R%c<99@Jm#EK$s)Gf@$r(U
zh&_OKv6Z_mw@O17c{rZyc>qD>W5fjRvUVDWyP!;3sk@}!A66!E$f53JT5s+HBEQU_
z(43_N#wX5Nv`r6hr=U~udJA)J7pypfwIHo8y@dL3#ey`W>EY1TRG?}P|7bLM3e`=o
zw;ktNyc992JL864ijMKLciTk2>Mcl?%dV}=)dV#_yP@OG>qKggB7mj@+xm*#_p!>S
z5Io?NxIZK;@}APIr}T9A(M@;b+(!o{`@!#O3&*dj>8z5lFIJ|n(nB0QAU*BPo3v{<
zu`>r6b?4KERbW
zSSWFY|5DNWv@1`U59>YuPSPDr!~wcr+y
zY8z0H0XniO{#O(_DFp7-v40uI;_UX=yFEMk?}N;OjfM`1
ziGB9>M~L6ZUMG$a&T9iRC73^!FL^LqDoitf#d#~`0%}Zswmcc4S?P#~|8?~A-Z;4T
zxnz;<9<3uESAUcEb>SgPG|i2T1+8TgqW5L(_yYRMU48L8MT8*$Rl!;ClEvwy7yTbF
znByJ5gF!wA;Uo7rS@^0}0aF%cDBgZ8%wxLXOjY47)WSZ{}L^0OXy$VK=Uwde&0#?SGTQjd(+XFWbq~H?=&a6?)SP~G?s4n@?*MbIUD798(UHz(Y@No@3Uitb0CiS67OnJIvleL8xdrMh9-Q
znooCQ8q0_JW!E-#Ch*U>tp7e1W`RD9)erBsIRj)y;)`Sg=C$tzg>O`z>&c&jA`FH*MmvbFaKYc}mY7|GO4K|IQ?!#@Iif;%}0wtCk$csCq-9v84Q5HRtkoH+N
zMNvs5H;=>XCEcm_Kx_tOzO}r6P^0kl@uv{zXDbb0Dtt=(ThOb)U4ps$Nsss4WcmrQ
zpOH@x`+3(s)FyzA7t(TAJsF|0%c{&sr(XoWZ(gqs^-{kN@9|bKom+ARhGDbUycrV)
z8kJ$(z5-kV@tl!)I)K!NAqpu9=z=@L?fw)0b?uAE
zC<5FnW}I1V<&HQJ>i3*6=`_*5@L4+dj}k2)x-2nZPX}){5zYg;RZX?K*lUP7er^E^
z*DV^gL|k4C1a*&OuOlA2UYbnq^8Z_)e*H!9?3}s>b^=Vj42edQ0uH{;sN$>Hfc3uY{x_YVE+Z!z|K;6owD0ICl^b|-%%FZkT@v1w7z?*%+7Iak2
z^+kpA&^crf27>er8104|HOw;YkU@Z-ImlIF^Ki7ggB3|a&VU{8U-MS1NhWL)IC9B#
z@mF_9yn>%;NhrGEZP`A%ck{sC;BO#T!7s4;D)8gUH`9zoX&aEdB4
z%I-M-)77*~&4$naUeQdhzkD7Zp@qg_T{A8}ByUN)&pTRf8yHupo(MBA@mJjLk^ctj
z>C_l2cspF=nfNB*O3IuYtIu-K=p;uye)pSFG}W}@cp-w4^yDl7PO6`
zJ*jtVxaqg){s_@&3AkP-(#QE(z0`ml!&v+IaVZP%WWdd;8@U#Q;+~#Y!jR{h4Oho`
zC$JWEjX)gty;+l(H3BT!Wbnl;laS_NXPY=EgRM|)6%q*XKI&_i`7Z~s@iA
zL!SX=lom@%AD+QJZ!kCvCy6odzmO1bRldBB5mF`ry91K$jAlJ8dRnc(Wu!fNQLoZX
zvA#Ia!FI3n3GC%POG3`Ocm&g~
zhG5}wHhEl`8{+-E!nF80ceR6pjz9{Em|@za$%__9FPty;{AY+!)f*Lulg#0Mers@=
zR88o<09?>P1Giw#l$%;>(m#nJidb-c1vjy2^-69O9QI39p^Vmnvtr9PGj+H}iiIm>
z7-r%Nmk=A2$j>P^#61{a0S(ooU>o*~{S_TQJ~%m89R2HUW=c=LoPs(}*PN?}PXfo(
zkohu@-?3+jbCyHYX@mO+wMpB$THQLkS^w&4VZYdeWcl5*vwx1FUBQ27(>4|XL2R}f
z(li;mmj3dGJt%qg(!A6FUb(&A$d9Gv%gwajos;~%a|(>{T>lh3hFQ_)Q`b8%4B#Z$
z&wX#VUph~3%mz`vJ>QDa7@x~Fu
zM5Aa%s~?-og(X5jZ!$kpLT8*(FRUL}{u0@LvkhPLnn^0%g%?v?nI+Ws
zcF?`AG`gz*2b%9(_tT-#IapEGb{16GJRdTWsqm?muXxn;q=uO{%AR`}YK9tS&{qr$
z&KS!?ak>Lbl%6AYB`xYWhLBdmqsO5a&G6c=jUbocic5Xn#kK!mX%H4zHRilc;8M6^
zjDV49?|E`=%Xld^YG0#;n+&*HDLrbtUUd_zH^t?jBj6hBE6`a$Y`1v*rtBpdpb?N7
z->G~0+__55gAd&SnV9~Xr@Wfg<>dC*#w@S34V$rt8@bv)thIsgUrBtfh}RmJa4x*@
z!6)(B+dicJ*4b=+U6tEWS0hSJ0Tmd=5tvHD*LCkwtks&
zB54R_ZQ49dXNdfj7b*1F4^Ptl`7YcG!&NGuW9YbEH1ocTzkBsBR_Z)>1K_wqWADBW
zXVmdH04lvGKW!&kt2FO;Q`=c@t40RgEL4Of78OPj?60Ew>M7MT0@hl5OJYhX!T7nB
zEVweB1Ao^c$^knbb{+DEP>fpB^%RPrnNG^VV&736wrh@t5W2xAf
z5K#JA39%t0cTUpDYdu5-U$CTYUcSyZ0V-t#jSm4{kCq3HVG-R7C=g
z1W(##lzwN9)yE}5;*Vnv{@`lY=#hlFWx)CZE|XX?8cAsHUYv-%R4wh;5d`nMi<4v~
zfz9{FX41R9&%)r+Yw|e#H{4GQ+1uHC0a^|E^XgZ&n!Zt`Qxlp)HURd&h3B4>BMtPC
z#h&^ih{8B~*uVx`rs3$kwI>g9XL|OSR^RTMjE>Fs=L+^Af#sg-D(oFqbb11A(JKMK~bXA+)AliPE4LIn`O50ztMjyKKA&?%!tziOz+5Pzr^3Y6a
zRV4i#xbzh-L$$bJW*TxIan*D)j?le+m1R82R!dZ3*f65P5$`67G{aEJETh=CyJ|Zt
z?5V@E6uYsS1Z_sew#?&C?Ix51q}^+6CTD^`7l5&nCYTB2IN?uDktq6bC^<`AOkxCX
zwjHXJ6^>$GfwD?=qOX=ILU<0kiJD++FV8vwr)gryQJMP+&LzCv#nIah
z28F1$$;m}t*6*Hpt{tI7t`Y$|XYU6QE<9ITa3`yY9DnvN$~&*sHO_Xtt7Pz)H6NuP
zYpp*;`RuY{NNMJJ
zzrPUM;;^RVVv!nh)hA{bBn)(5(`&SSxg&PnS33eS@ZnvTd6ziz0dS;c=cd>UvOdzHmjAR*q9W>F$dU50yDe
zw(Q5QW61d~iYA32x>)B$UsdKy&~4C+EPmpkLZ?T4>@Dg$vy^6)6Ct+Cj;(j(&aG-q
zoZ6rrh|twl9jE^U6E`AsbXL-e%{@uFv!Z^?fdLWu~mE2jz#$bbPA2rfXByl65+p
zD)wf2od}!SVXYrYIGj*xE#YNh_-Z@WPP2IolOIPRo~Et)z}$I?HA7Qd^GVJ*c+gbR
zOFriid2#7#Mw|O#Rwyb1{aNi-4mObr96KT?yGf?KusJt9j*0=yftI%BuMcPoEBtJ0
zr(<~%Z=x85l<{fa!ua%e1G$wAZCPk^&=^NJGK#BLAV7*?nz~sr{k#Fm4}nPYeqMCVzh%y&6-m@fgaJMGL^p{H~;FA){mYH;ZN7+4a_&!8
zKy$YkX_}#_Q5+^HPq~||VXkem(r%Tj>*9mi;yYpFEbC4*ANU5QECRyTA6M3YYD>{>
z6hSi148K+8ud}dT$ezYZ2iCH^!0qUKmxwx|#f~vu!NK{!Wq4bR?mrHWgZU!KFKgp!
zhM(?QJ2he`W83ZfcL<$xS3S9te`3<4?a3Z#uXx%kqg2tqw_HzrSc^gfGh^1=l!kpO
zB|f*m^%ZY9@1B7f$i!E-L#+5enVp3Xkha+To@%
z9>p2HS(oOk|r>`?1esnoVruj{wUe68^h
zZ|UK_A40PAUqplzXX^D%VB1w)D^#f_D7O$=N2@^q>@uqQ~h`va2Jd
zk*|T09!L1o;TTucT~0U`d{^YZT33I!W;?+%*NMz57}3E>_LWXOC9~OMFJ^Q7CKUD?
zx4R!@@enh7>KmT(CzoowZH!$`O;zOx{H667dIb2d$*7>!*z=2L6MxtR4Kxoq_T4z@9@d@F_Ls+tmE+bqFwnmE#sJE>4CX6-LyX#$sj1+Q|8z=d*
zAr5l}a^vItE1Pny44#ciy-)3wTO(k4mD)v+RV(p5Ly<3OID_;cUyLe_Z%0g`zDbG1
zdV{5>
zl%Yv*+*YnnTvWJ)40=5~{q&CmW~OF!2y!U(%X_=tYz2$f;uV?xg1Hc|p2QtmzbfsN
zQKoEcjrd~T@<}4(x1zL7SK%9X{^OxZF1pnEv}>sLKqN>0`@q-Fe#gSMQbn_LB95dK
zQU=Q1RC~VU7)YuKX_AuP)W(%_aa$o%UR$}
zPC#2c`6hZQa0#9|mGxf$l5}s|e_5ai3yX5UOQpCfsk$$>C=y{o{pOz5s=*xkOr&a+T@m
zE;;!A8ERhQOp$dcU^Wpg)GIWeA1P~nY4OctadaSrxkAv$Sx|hVOg%(vJjj@MQ
ze>bwHdz0#;fIcEBDZU6l%<07hy*o;(QIDDUbLMKPV(m{j(Mq=k`H1a&!*n-2NbH{ez?K?3aJ;1A4X1tlT0*?8
zRduop{D&s9{m;_3wSTg)HrQYC+4UOPsuBO@6`6_F4%61f!>!y9w{oR+Hi9~|`^oLq
z$;=wky$H{h9YVC~m3z4Zxx(QVLJYiC%Y}6s`gx;lUYSpbeJZQj>es&vxb?}WwBO_p
zl6}uYw-Wu8PdTo3UD)4MzyB_ta2
z6mxc9!0tgTyVoVnVqD?XU*meC{pV}K5}o;Fbw{YDCL3uwT$b>F2zT%yAwuMdyJF!D
zv(A(ij4%DDuhH_pI4=;DsP?)u1IKp);e-ep1xgBJ*!mJ};0t4HTM75kvba9$Tq
ze+Wk1MRHu23SAW{mUJ38*)A-6rJqEZe{eMeTd6-^sZU7HAfLVatEpItY&Hw;Djm(6
zm)ln)K;7|3PeRqb1vPaH{ANC7jE
z_F`4HIfp1M0c;WX-`7~<+Xw`+y0c(9YFR7zPG)gt;*Eql_{APt0b;vTrr`gUNSI^&
zoNtyMya}(59io4;in@JT=cbL`y=N+O@zWRw+Z{XZ*mo*YO~SK#L__4S3z)BK8oyG!
ztNDb4XJo>w0Cv`sShkDqK=>(Ayy>H<`_elAbsC~^@sNeAb98M-;_Rq9263-!@f>br
zd}%lO&Ym1EZ##^jKXXv^&z`+(AT7|*@gv%}nWD77k}vw-fs0b>6N~@w!`(BRhW?lK
z%1=(;*bc^OR7a7>lt)pzoyxEl=^FSw5KHogifq@CMaCDeYS0r{o~mhzl%Q9z_LK0Z
zdzd!OeQjnx{MV5o#?0pFcRp0LgI*kc9`$+VrD+CuqLv?9H$@SMov$MVBXgzSxwAWR
zoQ#L`iYrzX@+xnQmII+ddOZ=J66G0rqA%v2@S)Z^dEhVI>fq*qH&#;hiIL*7u}a9y
zZheO)l{m2D&i>Hr6XfaP=l&7L?W>}h7G8yV4~hiFFQWE}yiUEG6G->N-G{&BAJ(O|7-@xtGjeD$+slHl5#&NDBs5q)nL3ORY3Q$Su
zH8Dbpt^ap7Dg$F)aX(!tnugK^Lvepcwux}od)z}>vxxK{f}cwHiF}e=zl;LcI`;dU
z73!#!$H98R0t6gvg*T*Wbae{??<1qkw6w+ZARq`0X4YMTy%tLD&}~G1?%e$TXY{Yg
zXx7wRri)tx*Led5hQ@l4(JP~_pLNrudF0^@51C>vQYh#Ct}_29hD&W~qPV2-
zwcQ-Gys4v;U(5S>xb?Gwu@@Y0yKn53q8R%wz5?U#WxR*)l*-JPIo
zwU-p1O+jHo@`&6o&t0$U;%!!U3@Ud#?`Ys#@V=&vEvpZgw)iD`g+v5h(@;)+wY}aZ(;#2#Mh$9@CIO2A-oa(JByva(~;ABjk;8Y(Y
z)Y@f9nFP)fwHC*bl=c7UHln{e(Op*W`^*x9E|+|7^7ci4P?LU=Y
zmxfA`MXsy9)r#{b=^Emv9VF1zLV7*F(jXE06KV~Gn919-k>UT+^bJ4dCdcXr8{<~?
z=n8a%Y9V99-glw#nk}>hg!<{*?gzFPe*-GH$Ty<)yhchj@+*&`xr!+ilkMSPf9Lb;
z{Z+oAd~&ChDjXT8;z?qwo2GJ|Go3g$yEpT5UHBYwTLkrWb4d2>f?vJE|5Tk&dY;wts_0rB!4YHkWZbQT8V+}bJvOB90EC+(~
zo_eUN@e;JQ_+A(}t0%^~nhIK^)XUyo;}|i~*@Ky$eY1NLagWX#_dSU1WOGzGX%r=J
z%W{8)s|`1~@6xT4VI`d(=U3)iFPLz!9Vi(vViNMCPy)0W8Z9Xgl~H7iCO>f*tr%So
z2h&r>apigOFGu8d!Lj7iiCt{>1gmF{sp>CCHq#8tI>A17xPuF%k^4fP9p4o=NPGy9
zJ6>Z&2D{>Kk;tupZbL`mj#B68v&w)FK57}
z_sSalzhY<^NA$Y88}*6oId+7!_-)K9rSyoUyLYr6sqjV6MfkY~T?l5}7Lhw@H<{4O
zJkmI5;JV^%b*o-jJ2q-jNIV8IDviBjW!-lH&I#olWfVbHQd4d1xYpy_M7_#!81aE9
zbErq*=1-1WO&YzjO#^3Zq_#gytb6FG~rz+XZmQAS$RFSPu4IM%!5gDA^QPC
zbhRPz-GN*UW)rhFG0{h46^H2S9|Rp&d#@I%+xyHB-T2OT4RbzO+a#Pi2FghT?Iq0-k|(f!N3S
zWfNI@k%u>N>38uOuDlM;dyg%+k3T@iXFa_kjcz(QRfp`?OZcN5?`m3_Qnye?$LG|C
zk({O`nQEdr02&3xpRZDVpG@#B^geF8(4bk0{GJ!unCaTX%^sc^7stEFL8Fqrn_zi5
zC-t{q7X5v~i$rG1VbBcFnC5!MKI#$X-lkGExmDE;<
z;JM7a{>M9oXY)EJ>;^|1chZ?c^94Wwwm<&j1d{FMw8^d5uane_j>)g{a_P6Cc7zMz
zPyFf!E=s?Jc_|cgDO7W8i*`Jb1G)JwO#BN?rO-d?78VX*jHOrUqw;gVsMB&kcYEEOF7+)1sA4~OQGWvG)#9U(BPj|q|>#g6|
zd?*v@P}tEBz`JPpyTUfMV_MFJ8>%_De;BnZ2gF#MKP_PNd}Q9Jx6cQb{M%I8iq4P!
zq1w$CjV8+SJ#_!AV@X+(mGXzIN0Lx?$vJ7gKFJ0xrS85*Ey^zxg)^pD&!dXI4m$WE
z?G=nPFlN17!yG%^{Hm?EWEZkBE8v4b*nHirTnUU+^fU=fiXxRMXXS||k?9QlGR2+k
zzS?cYP*D>7$><7)SWLG#xPq2_KI^mm04)`r^*
zC~r)Wf&R*1`u<0#q6O~vbD_7`tq(L7DtK($oxVS_t$>b++zp!>-*ze)7;IRkaSZj#
z$&mwo0=MN1q#oF!-pq!%=-r6DNB(O4^N&l#0g-goHxhO*n_StndcuA%zve7Lv(BJ$
z-35a>{K9H1U02HZkpxw_2CG86CZT{f>BqIf55nPY!6%J?RvuJ~RZOcb>Hzxey2u1%
z;A*$g>pL1p)72tzO3@e6L;GLga`<|ktQ+Px*Qghh^Z+iSAzAv(_%cH<>6giFzxn{7
z58MD3n;sp2_8V`kB7$Qz>@?}5)qxUa*|VaHd#DVdqc~7QU)67AP!!tFqTR2c!4x;#
zv@u&a2Z+3~>N~STl)^loSZ1MRZgyxRW13Jzs|`Tb9#{&+ahvL~SB2kIZ4og`I6iY>09gTZH%euACo1fgPOh6!QS|2yyZ0Kh7lYWJ(8`
z8`l@#E70BfrBMwylH$$1g(|~NZJ)k}?eA6Jq1eo4*XK^mz`nOXujLv5TmbOKv-(i{
zT!ICcwsHK!gaoGIFwhllaxUIo?$jFz=s
zoGBe&34PNZMk*NZr}pXVY-k7j+&cD&nyTtalRm;Eilf9bYwE%+>pqv2j)<p5%bX46RrLFQ5RQBh5M4q
z`b4cJZqO&ny8Fgt@ZZx1gvPJw5GuTmt;;n)3|-!6dzB6F!2lOrD%q8lKhk(5f8-Q@
ziK{5DD*lqQ*qiBk&V|X*-W&Uo`n*%^Q_X_xxNH-{aJb{y56Z?duce~+rzhElWRJWI=X*`0;KvTQRuSCd0KbgeH=p0we&#X`trS~*!e-1_>6ET6Yu|O&gyXha>EkK2)Kz`l(kozS
z8QfkL5HzAsQem^Ee01PpjMFn8EjWQcV{r8Gf^|Fy@(sx4d1CI-P6X{-#
z(77#5+mA4i?XkpV^=;gjzRhu$)2Z+$U^?>fddokl4}qImI<5XK>{veU^A)(zd9F3;
zEGR0r+V@A|YY6SfaM=hEc55chRtGyIp(A2UCbp}VJK3IOo1UL0;=P*c-WxONl+aniu)vp)ZTbqANQ&odd5Oc$zHc&e`ZAQV+H(0_H3XW
z$gpCCEPj`aoI%i}#r+29J=jx=cSDZ7*3*k}x+y)#t5)1Ld7
zDCl@2(8m)6fjD1kfYYNW*x0oB@71hD-`T}98siXkuwW)Mv!^!By2EW|VbIcKwqG=d#yv>rIxOFPQ<
zZj+pg4!4kB$I|PtC&l;KXX%soI{aN`gGJYvaG~P{ih%wp)u^L5tPr88KxTl7G9R(f9YFe3$b?4Nt}CT18*)
zw^YQ8)(H7))fFGc!W)(fvrek_)1mJZ{>htK{d(k`$0OxePEV2OT+c|4$s=m$E*HwJ
zO-Ia8p9kjDAYD0oUO?0I1~~#sToSmjo2jjBpuO_G$AZ@M7H45IE!|JxsN$^pBwkBG!1s7Q@fv@I^Zs+?L&tYWBh@ldem!gg?rLOXRWQ?iY|J8rJ|yu@iNN@
zrkI!1G&G)Pf0nS849AJ$yP0I)*3;9bUib9$B&|y!U1_MPJHB%VoC;p%W
zPE&P8#q__q=T~6)7B_kCBdT?CBwAiLm2#?1o3WI>ko(lqQ!EK
z!0UA6Fmufmakzf7=lLL2n}Ou}_<_gz5jBY{`Ht{Y{5?u~fc>5`FSsW^>>iapv%_x)XGAB|YD*AA
zj^eUY%TuNqfcAYPYVa1qV0ZVYyDI
zOtmHcXa2n(%&K)0*U{AE?HD`XlHa;ixl*^s?^n&0J>?=5sc39}-+ig*X&Mn}fvhb$
z-rgG%@<`-?pksW)sW&sZ3&zvr)c-HT*rafx`$Wu{%T&n0sM(#(ZR-X4INB2G^w-jX
zj0^UHF^^MLFL!_hsq`lmx5H}0%dH}0Cqd0kCktFy)QE|us%rGLS1$%uD&eo=7|h;~
zrs`WFS%#oPbFsfCzj^Bxm(M%IT2)i-cltj4n4+XI(Z!vl#7g~k@kHTHxxd8umX$WU
ziYJaJQ%ZsO0-hP6d}z`6(c*#G`8rEO2{>-R(^9jD)rMtjSIGTu(dg3GzXJ0iA_pkE
zjeLUotOjzUK7~j|+_U9zvjQ~ZsGj&_=u~?bThn8ssjU3gseb+8q+2&f-F7Fz#Ov+eB;ops->M10AoQQwP
z(z$UjKImvLL&dxb5fb*Z5SD<@YhNS;3T!pU_$&w*=u#ecK(F93IFjo*k_z
z1I0~IVGmqetGNb$kJ?o%|LWYinMRJ=)f>X+r*3j9yQ^Tx;45U4
zu3dCTtz<#B?5xgJtz2wi(=Gn-w7R-lRXFJB-o~;KyoC}RyOSlR_jAfuXn04=N8_9+9
zgB#6kZ`lv4th?iXoGtdG{N5)!gZb-ecKvF`#zjP24KCv&_=xKzO)f^x-lQzh+A7C!
zVO^)U&uUYK(aXuGNROUzY9Ws@
zAZ(7;-&2zSC?y=dFFYa=RSPy&;7hU)eilp19qkgRp-Y1
zbkSPl1N*(V*T22Y?B3rhdq5**#EAwiwG(AQ>+=9jHeYSdowp}0mLq=nK9JAmEvW6X!U>deHFnL)qtI{}O*3D2Eql&<{tLMY9SggqQuR(7GDU!h|EL4ZQ;}ohs9#Kmv9wE%N$Q8VO@ggKOU|I&r
zBmJc}9)jZ}B_(;!mh?{VN?X1KsKt?62?06|jvM)B;0h08ZV=CSa`O&7joR0`ps9FI
z*9F+2{f%E0+}23@dj7=CGC|q1w_7PQJ-tt%eL{sS*=mi&((i?xltRq+MfAVsQXTe0
zoy#%L>&iCE@t#T{w7008T0zz!f;H)G|?Icv2q82B_)?
zgxfbc#nddJ$cG;ui_8|XT6#>8dRT8%(U_kPxFW(FVf|1_Cj8?Eo1D1{{@iC_O&Ol`JW%A!JjLtqa^T5bEvU
z&5GWX@fz^y`=ncM;$*qQ{$=DyR`w#@?Um7KB7Y4Mcbh`r#v^hbfKo)2y;|-A%N>OM
zz=FmX6IlJuyj)xU@CFvh+d|arwO8L{%c75sX&ykKc7v|iY10o|k#-<-EWxMA<~xze
zgphw26@cDJ%axMrT*=xV#YfJf$m@8qL!Ye@NN{b0$>m?C?!g}f`}}K&SfBkqYPwaYjS^mg&t=Rhp
znb(r&8Xa5eo0PU&%Kw-WysY+8FSW;|W9I3WFIo+~4NAyh?-T~$v&_GcV
zi>}b9a7wxn>pb;o9}3T;t}$sj1yos`RnV3AEj&EjKlPi)PIx7Ijag+FyNE~^t`1IV
zs&*)!DXgR?xx5`3It1={W1#dk$J;1_%Hy(T<{Kpvq)4ES@uu4XhkmIVx2B7As=5~
z-PnEm_K9ryitc~@;CXlhRAjMI1-&`(au)3i(Le&+b5`AM-##q0>))pQVvtM=N!au6
z`}ohyGWmUIUHY)!_znzrkygnWCi?VPIyR4aI8d=xR+&D-*Nmuy1?$H%+H+i4B)bR!P0Nx2Fl#i
zSWZ{PJq_!uM~8pjHNW;R@Sg6@M_(KdvkB(1D>qhWitk#<)7A#swS+PES1!-|K|QrF
zyz$}%d3oK0+BKU)*yq}aUXGLwLOglD+M%kqmUPh8JjaKc86t3(C`jML5l{YQBmxpu
z*4+^$l!z2rZyE|3Jf7zWIjUS$*`72Xg?szHK5D6(>ElzUmslfd4CUT8Z_+6gO11r=JyE5ueX)JPV_~B7z#vrQHjW6Y{ud%dzstWs
zToZ9L=*-i`)dKbPk*CRG%zcGadZvSJwi@qt6dqJU*oQVCR}c>Em0qX!2mI?n@NLz
zo!#AgO$;$l0IReuM@R%+?l{R?*J$6n5C)dJ3-(Zc5Q>c#XU@LZmj1m^#E-=(+ERi6
z?eA1itB9em7;G*ZyctEEzvKR4eWAnR+_^AUcqs4HuYVP@XwAUO0HS<=p#(+4c!SI-
z&z?l#K@+8i<(yH6F}|rwZn90+UI!t|gjZutYoPWzwYbV=v&pk{b#*$84=Gv0!^3Tw
zTzX`y^+vVYcS4x8kHuuwW;7bzUmMJG)kmKL|20ryViI@!Ia!gdw4?FbQU}(PF8;mh
zD~bGFEa|Fp?@4#q2Ew4{1$^+w?1|$T55u}Za0l{d--8LE1T4$kZ1BXX_7vb=Zcb?9
ziLaB6<(l7>cj?J(cIB|yugCS2B+4`Gs2;33Jr5S7=WXA7p=czPU;Rm!Od)gR#A7-b
zY{kkCkJ^@Kh9@zM#IvLYBm@D^p{b6
zge(`=?Hn&PJ6vNWYU6!x>0{qxQ`!AG(@bX1gF{vgHS_*+b(^mhdgQ2~U56^oaG=z;
z2)OuZF;u0O^(aod`?9Y7uQio6eM&G>lqmzdNAxK2%bPX$q&
zkm!S!uyVRuf-N5Q014pWH~SN;V;7Q<{?!G|PxnIed7UvqrXU&FVQDmRbe@*B;XOFL
z_*i~VR2Rd$eQFTu)m8Y|@m`Zxo4|#Y>uWa0jd6gBd4_r}7Jf<9LVBvB>4l5}csc1#
zyzY}Caf!UZmdOS&_qQO+C{;D2Ip)KnuDM|r+LWuwr`tp7XV}vSV+UH`8}{P(TVb~#
z>d9)imHURa6EgHRAC)GT&wZ3I0}46sfCz+jd@OA4gafInvRyA*Uw
zYtC;yrlMlt)pO9C;f)1C2bvpIwj{P$4Uj?3PEL@F?+?rZg%;P2;aI~nvHF!Ci&}4*
zn~W{iV+3e_yPq~E0mVNtU>h3y2MR)=ivH_h#G+Y!KO$3*5I^2iHZ0+#9zcxN{Z*$V+ea7BtB-Rty&$fAN=YBy|p
zrgHmntvh$_Ad#-mF%2_ff&j*lxNrn8i=;fcnBd%zim_~LTpB@ebqMW?f52`7C$L|k
z2rc-z_&{FfgBsG3p{prY&z%|eMEIR($R4prjZd$>vyWkfi@6#3`&R^NrYTf@ki-B}
z5P4S8a%xN18N~XY&g54a#K*^fS_wopZ;{Ii#&urz)-5;&>2Wdv*Ms2ZenupjBHz{S;sD0hEd5m#r&o2cXIn2e#72>-90guQtib$aKbA*k-XvETUl88IvSA
zWD)Fq_j>u?q#YfQ>TaJr1}wU^{GPbh$yg~UUZ2*~kh-QcmPda^AgQ#@Dgc-#Fe!zp
zam(4K`HHxXzg;nj+KZtD5nR|$&RMx<|}=zeak|#y>5yjakF7)#*ZHWlNqvKX_03V2VLb
zZ7oh%W9}5*8u(*PF2m3T7AH0%CU||kAMg}(8-Y;JQg8c?WU#mGs3Vj5bFaL&lKWI
z1$D@+7mfgU0|I{f>omeT_LwZ8-p(fIXTLvDCuUV?X+wQLypeiwNb
zt?mo7*(91s(^qwZ+9IyKFhAd5WVNU4$XYP)#Ro`trB=8>h)We+zRBx1!eX;=>+eO$
zT)Fz4*q1M?5>kQmMb;`?RhuH^5f>KJ5ty*$hc=B<^u_7$~lfVpbcY~@$olw14}pZU)A>om&SR30s^
z3F5BmG^(no;7g^k(Kp_{dGl+kKmA*P<2EN))eELrtZc-q!^|0^rxrZ|#9+qM{fwOa
z%ItK{vLRn9d{sq7MfwzC>L`4J$_Q}Rqo$+2Rnlnt60Guoc#LD${0dew8Px
zB{t?FDw4Z$fjYCouf?UUPh^b4{b^3RtTPF77`Yo>8;%;G0(R~I{WRtM>DU1e~gz(_)mNTv|=uKd3jM1Jf(Ja0x-!y`03HQpJSz>>L0DKYJ0M3;UJ=#lat~g!f;8LgR@SPt-Csle#$fp+DCEe6KsfXA
zfG{A}KHD@HFp~!~`8XB6Mcpm>HNJJ<0{BGg{S{=@Uo`U{?V5z=GH|@r-pbL?Z3n(1
z)bF;q&S4H=3$NDeB=xnarSQ+{M2RY|qG^1-Y0Tq8QL6$CV*b;OjUXEmySsS31(^&g?(m=Vi}&|X
zyc(J3VV``tSx7q;2#)n29&jzl+ak@YuI%;k@`1mE@(0NIPdU3bGE}Y?!mqR~1BXAH
z#7f|Yif#PEs>sMF5t+~EOI~A*!%Abx@Lv?PYnyD=r@6+NswedFUja-ckUOLlU0HEL
k?H|yH|Ns9bjARy182@V#d3bvE4l*sBa|UPg&)9|j56YY%cmMzZ

diff --git a/reference/db_DoubletDetection-2.png b/reference/db_DoubletDetection-2.png
index 29d44b100d7482ce17a7208800190d3bddcd872b..d5d2ac1384596298627e7afce644f9ff5c481b3c 100644
GIT binary patch
literal 153908
zcmd?QWn7ct-#$DW0}Mo3R6;^Py2AjZ8ziTK)EG#2s33}jbV+xP9*v5CbdLs+W;Bf0
z82rymfA{~s?|09u=f(5v^N~&1uIoI%c^t?0+$S{^InqlsmtZg$sr<928Zg*7R~YQf
zE0XizH{;Q%o8amED@D1d;2As)pVaz*r;Bf%={dk)^a0SnQ=#))uVJt|F!`sCv|PWg
zPP%z&4G~Ya_B%~kI9^^>9JzRhq?G2-BlX-g9rY5ca}`dgvF3RL@5);f4eXwid6~EJ
z2igC;)6WdNY{Pno^_}_`=4+MG&+c5jI2xhXy>Ycu;0a5cX&h5TT~cVPc-{VlLl5z5
z?b)5SI0xkE-hv>W*WvdJM9KcH?{Uh6S(!|Q<27lISGLQ4e+B&@ee#a-KmYl0^P=&8
zUXo}sxt{v>`i@fA?{oiN`aYETf9uV@Ov?>~^@xu7ye)D{%Iv;$IqVn$H8gJ9SeTZU
z7EM+?8W|O3Ib39f|NZ_dzstIzkz=2X!n0?aVp72sUIgc^I6k?ywzj~}pEVype#g~t
z@QTy0N{yMBc`a))tEECLue@AKRRR|o9uYx7OPl|)>4RnWSCRIvu0mZg^o0FqL#~*X
zVA}i1J-R5bzlN|N2i81q;cwQHgk(BLv=gRVu=OD%Y#n-X(z`!f8!fw^v(u+GKR>@v
z+QF4yfsE;RJ>@zZEI4Vy`erSp{nxLDpFVvOs4TOYtVtO=T(8|IAXeH;>Z2r2!F-)F
z3$8cvp0R+*Zk~qG{KVo`uKFCjx2eZrqRE)8qheyPa}lZ-TH88xM15f3B_rq2*Y5b`
z>~YiD8CJvYl40!7&rjr0adEkC&s<>VZz+a2J4ArI#S@YB>d8>`&;hy?QLy+m$~awMn<0Juk-bYr*k(P
zq@7DAt-sDFyR?vCi}~Sy88@U0XXD^dWMg9sw%K=SBqYMc%FMd@!TslU4z<+PQ*qc~
zL}x6IH%`cAVq{^AG;_~;Et<o<9Du|e8$V*x%sHj3*7agQXh<8406i~Cl8N$sMK*)
zMT7I2epGaH<%_2?i%nI_Wr|dXRpZ1!DV#^E)RR-^5JcZJC-YhxuPI@5kU-)Pde^=zYKf1a4;Jh
z(=i|3F|YCRWhzrHh}h4!IQzN1w=Od?F|i5?>fBFs3}0_N@unAkbBD=}F5zK&XXlmY
z8^6LB-PfxZcR$0A9)q9@3<=TE&sHfiq
zIri(M)U#n_=F~6G!NmUaA|>R-
zu=7`MTYCxArlfo;FhFbxJ%7VPZYt9A?CQ1?I)CGCm%?e6N
zyJ9W^)MCyB6?NW3cQ^5*Vp}0P{{a!_YQxg;&|{RbySw{0!P3&wg83q&T0D}_0Y6SV
zI`RZ%Y#H51L?&)QCbggjwfaubqM9-q8y!v7`zWs@w>|=L)FB+
z@u=`{joB?w^f;4y?#t5%ze$li+I&JU>iFz-s2r#>;HSU8|5$@pt+D$ubD|SQPkCsF
z1?{q7j5v(cRJmxCoVTbD9vB$-qha#RO_jwFvog!=xwh~;DO42u$tFm>`Iz6z%F09J
zs^WL$@jX7ri~&v8wUnTZ#WR3@MB;Fnl4}syHf^RUfPM7Q1i=P{i^eQjjY>h`uhk+|U#!!-G(i4Zwbj+{E-&deB)ct8bJ#f+fOXUp)@w2NXikH2lhzPlCq)GXCi=unX;2cZ
z%MBfCd4tCHM;5Ki5I{y>8clxV#=Eim_wN0$txrk0vpP;HH{%?_UB9b=a3t!PCuR}}
z`--BX&F!yajI!RnI}P%7(xFEJBYASX-&kQez|!2(veI@xxx9VS27L_ni3N$GZEam}
z{t8u!)X~h=
z3B8R5LJ=KVfFxm+&k2iB?(b9o7Nyx(x7)9XG5mITct|5+pHWo1F6wnSAH&YZ)(0Ai
zfX}ffC^V|JjYQ{Oo-HkePQd+@+Zc**U8Hv4Si;7(Q4PMl+0kU?|X1M99Q~@R2
zvkz6b(lL?8;*H>QSWrT^P1ZP_!ipdKevjEcM`@TcH)kqASS=f?amt^z`13|hVA)7y
zOoS@R;TprZY*i)L$QIpII$!OnF+VXHGnZSU*|n6zAx?`MuNOasZ1G7Ev%UdLyfr=_XH
zoXNVS^FlTetBRQL@NmcF%owY!Kg|FH4JDr(Em|>>g%E^VpQs+Ib})ZZgDGH_Q&iAUQBhGNxQgFy
z#F5d9`a$_(*kfmC_!SBa#CRo=x5Z+*!OQ(Vh~bg{_mmzf1)
zP;hQ}{RYqKmLO`z+R362da;$v7~|4~D-EDFy$_@Xn~@&42X)H=-ctjEHo!}bB32wy
zVlL~0057FNH5tH&yvpekMz8n8JU4Lj3d85mpPSS}e**nYzv@k@ipc!UMr3YoZVkvM
z0oTnJ%5l6hqobpb=xdp;&%Va$2|?UXn48v
z+E~h7+pk}n23Ps@`6k9l<&Zc!DG*uh?d=-Ll3x4>%!5W`vNt|ABYns10zSRp?;?4@
z{O<1V`Bq>sSjtP_epr0az_OO7XI+IiC^ad2`Jyh100^u&)d6I-+|Gd-1TmcY^($SX
zT?=)12B-&B+
ziq&RGt@B!5^Jhu}Y--mC+m3i%C}8??f>GneJi?Z1u1MS;~mPEpQ7f&c*q80erK4
z>I?L^QwJydIrggfrgR|=WZmzW2aQMD9pg{IrV0~hnH8fgK<&4$Hqg?y+Y2;`<#BUq9FK1%#u{MEUwLlZ9?2G-5h{si{k;c@8n9;D3&;$xu?Hqf
zai?fr0`JO(hnZfwbZMoa(X5Lm|9Ew@3{fEDv1gq>1%UKu4i)8t=PxRl+rEPCZ3gVq
zvgS-{62!*IDUj@QTrIDlu$>QjV~y_`#m$?~oos5BS<0-2*dr1W5TL^Fv{0dj5dfof
z4yZ~YL3P#M50kr{%OjgTVCe-Azy5}#&2+;g_uhvp{7OD?ELOs!vaP#Yu!U-N%e515
ztgeHtS>lTINO5Xc#rOz99lo|THso9Ywd@1W1{!SP^O7H;P&u0x1UHgs)y!5ws?mWc
z?qWmKOsAZJS@>VMXw0u6%;f4NnH(qSRRh0~SJYGIwqs?DvU(>p((~o+6D2*pu26%a
z8mNpH603o4iQ!*VvIj=ioErt{$mA+SZ5s~F3fH2eqvJsbK0lcax_;drIYZVOW>J5T
za+s?aGA?p;qPh%I1K?;7jX?V|-pN`Qp#&jYuo+D)EmNp<D>D+O3@fg-!`<@dRG
zYE6CsWWIKp4J6n$)38`=t3(b_&Bnchx-p(HwmfTEKLmMTkW@Yq@DO@2JlRP{WS`4NWlaM3F0=U;Q$Ntf4t5JfDVLmK)4!*??TB^
zohuB&#`n!5!11r$aIQ7-Ihti~I@o;4`Mg+~(%3as)MfoaKvOE{iim~IIQ>%7Puttu
zj>m_K!=qDGcC)(x8$jh8PnbR_vK+`_yL#Z2jdIOs;RuWdG?Zy&nJ@
z{}(gh65t}SP;dM9co}$>`#&%J*g*CC_qdh?)$+fO|8Knc?r;0*Is59tbh%JbEZ~KL
zCZ;4zH-}&CF7@fu-VV)f8#|ZxM-o_A`l%uiFr*FUoNI~41_p`I_CS?Dw1qRDLIWD!
z+}et*nhhBMf$j+41q4-xz-w^jc#;0z%gq&=uHu~D!S9>vuQmKw{(C(Okgu?m#5_(O
za7k?qjkJP-2T*}#2Ps&yoRz>2DkcuJ_v*(o61#vX1GONMDJm+e%?3rdY%t@_&7XlP
z)HA>W<_L?wa578+gS}hWIo$2!>&a0~mULe&X*CV9T>kPVsNEEqBj;54!6UUAKV~?l
z59x-z;(r}kzc+^9ZF$ZB*cNIyA9P)SIxPFrWa5SG(xxRLjfGTbLOL8BJY!744N6aC
zk@nNG@NQrai%{qSzE<#a=uvA3T=%BFKTk@N0q~SQ-1{&SlmUJKZSto8$3{U-s=7&r
z#O`lM&G-swMn{J0f#iSw-o6zvxD&<)hC0@laib5vs1
z{WbTtggc}|0HLi0VC!BfWVnU`EO0k$oPfDogXsxLYXT+cAFX)
z7!Uw*CWP--MoQ9w4hc~$-EpCt`(jX-a8aAIU-2!D1l<>aViTsJgE%plBG4f)?u*@t
z2y0Yn$iOmx3zY*<)i7gw0Qo6-dwWOV76UnoipRW(xM6JlNf0$(0TJ{8eUo~KD4PuJ
zQcHQ)wRLtD;9>#p)gf{eRi$-P)f=O<8{v)K0vM1mRFa-m+S6;!!_RvbcjCaNr~{hR
zu{>+ewQfLcI$f!*qocEUScqq1W!)TatX}ueTCz1EjNRlJ#Bj%SP-qzfZB)5G`Nc+A
zmM2+o?s4Y>!>VG8b3}N!68NOrVrl9vPJPo=XAiZ-tv)%1!ivHV#yuwf_&TYh&8Ac1
z`R>yn{&-*T6^*IbR)IKr5>OI>65X1$G#EnB<@c$XpIBB#wQ~q
zquig}!h!>W;|!&NrKM$sDEJ)CM$61qgIljSy+gC1WFCGJO71Z)s$Ph9
zXFhZndn3#^kX>;~D8|P!^2|g3dvr2zAwI?r)H+
zDB`&E1*oqrvsgZ%#P
zoDMx;tDupaIIoVp1k@p@XOYhaJ)V)BodE1Ypmza`Rp2&yh2fr+XlScdh{xTVMC3F0
z6T5B(k5!(=8j$r1Wj&I7fH=1-?ob2UK@uA1$!@d3LY)A3(>}aA^5yufL$UzQ!9odV
z-ZJwh_I|QwKiC0HXsd~*WO7?qmjFxlEeOo&R#x^K@v+_iwy&5$rS%q}S%{fA
zv!w=-E8o1^2ho8lSqI!^M%M-Ov+=r5?0&=Tis$z8%~Z1G}sR-=2u{6-=5{}?R0IUfx(=f*SVHdh?{rQ1yl27wbaDG
zy{o&WPLA9eOh8Q#-Kg8KnvitcHiaZX3?8b!8z%e$0Zn%SCNHF0r`9j-6QaBUj1U
zw}S|wd178Vs?vJ&o{3U@=s+Z(R1-Gnirb*IaOz6fhC5E!wGNFMgH8&ZWLC%^?pplm
zUSaY=)h*D6K_SDq18xSvQXmIn$*HMxfs9{m$c1%iV~%-F08}sAxb;fr*!sC#r(L0&
zJg)V|fS`2gGf22QroXbb>cY`E0~xMc6cG3FXb!n3!OX**#eC4o!!rQl-46^7hK5VH
z-X~X=fpSci$Dr&ak$|n+2SBI=SvV61kVjVl1RpBE$fhD16hgW|U8mVUe^$J{=H%pv
zVxK;J$|@;2rO(ZQ82x@7n9dsuYI9k1eiAw-hqc3u)>{IzTs^27+zO
z9VpkJBo(LvF@&9+9RRYz(4NJzJvMG`)G*JJ+{*tOcH=>Tff}Z!rhhlHMW>S(pDq|2
zCwQ02sMdK1GzT1*59;?Uj8z~60Dc2AC2g=%EkILn0GACO)CmsZtV4D{-J`gEU43>B
zv)Ks-atjcy_tn>;j~k^~7%GTovRuAi2hbJ}&im2>DkgeI^qWM;bWDn5hL{u#)W+-Y
zRD>K?exQms@Bp{~vKjn%n-UZXK%$i)h1~|QOT_NxF_8c%4Xj|4G>*2tsz(RHg=3Mf
zNZzAv8W7nYtK%|YNj1=!D(b-aC}r>B?z`L?FzFl;u^+_Z*rmV_=BinSB`X+a_Uhjj
zw2qy&K<6zM78EGipv7{+yg|V$iLP~A)<8_YxIslKZ_nRak>lwI8w7O~QARbT{287F$NALM9dhbAF3FsVe_tq!#vy;8`fwqtX>4;#;_1eq~
zpBM_lyl|!t{lOdzmiZYVdZhOG<3|!i(i1SkD<~)s-Ot4E$7Mf2@(E&j3i^lGdcA*-nn?+Hpm6YZ~x8$yt^5Hj6tJPKc-qG
z_}~YUX@+!Ii;P&4n%)S4=7$gw5U3d2`)B6>sQ3fmxBd_Kl>&gy*oL>Bs;h3P0hK-k
zJ_!xMo};ZK)aGAbR>Va`QD`NkHvD%n{Sp;5KfD0Macj^C)z)t3
z-yJS0B0SLQdHI??dw^Q&>uhT%dXJ3*F?K=$0zhzQu?IA6W+zOdh(i`dYdEuF9?}-{
z37T$?9PbvG^fmoG;UU;N$gm;ExqK&2JWJZghZ03kazH$P8p5(Gdo3m@OWgxCJ$
z&<%f_{H6jgQ22cRBCSJDfLY>zyt%WK9*Q5T1~UMJwZmxXYhVK!&?bQ%ZndUqBrgGA
z4LC&51u97wSVAY5lW22JA&RQAFmtUyRR5!U0wi7mJv}{)BmhEYfO2@Z1%o^X+Kr}3
z0+7+Ah(*n5GM|-z>__3CqZ920somkVc>qGP70DQV5;6&jlk#bRdjMfeAYZ4D_uRR2
z7?EvP@rB>t-yGF+MXu_fkufns@;>jXdme)_i9wKFoNCV~09?Uk
z(kbR}Z``&E_`Kj45ZXAzPj;roU-D6D6#QUB5>wQBm*9TG@fMJD{UIY49s;I_V>
zzL`jY$*^txjXJUb#uxU&z1ikHNef^MEl>%abT}W?%ikiEYYu|wXYs&tK{OrdE+8#7
zi5Keu!5u)s8&mKsZBJ!n;-Hbum>Do;@9>|J*4z2I{{xuY)NQq-^r+5fSI%{S@%owd
z**C%kSOYb+-)L2biOZ==womXhfe!09_paUL0ql@*irS=%oB2@+#b7&$JiuEGwo%5Qybop|Au<7MpAXWv9Hv0IeA+s_w9Kl6E4-xH4)DZqE0WsJONY!akbVHE`qHIS`LOas>Hbo?j{I7l&hUqRUm;NQP2
z{U5(T+zxH61D=77r0@aT3IfG5h)$$`0?eP(UtSBmF{
z2J_Ds*Y_Jw>h;hzMry=-aKvU%{N!k7!CZX1%v}2m@lDo0zhf7gr>_52b(i@x;y*SJ)krZ
znskhy@EO7yB%ifq1#EK_vR)un9{Ym_{HVI^z&IY04-j$$Cv~zw|1n$YO*I4Pc%hjR
zUcTOwwWR6=n5aA18413Mi+})XSXt${fk9grI5lGl#xXBeoolJVxVw5O?QgAT6_
zmsuHd+D+wOY9^Aw1c2Dj&u0K6sB$5xV-w2JemhX4VX$kb|64fpfCQ?44-2aQhl-uA
z85%h*IBH!f>y@Px*WW)0K5tV)3tMUC?7zRCZAS_kXenMe
zRem3!&wn5KU&pqz{>o-+>iYWeQ(*2KO$GoQ4Eb%tdtVG_9u3<1}ihWOMVFpge{O9p9kc|eG;t$~~KC@1X<%i(+*JKyE
z60!#e2ceJmUILWe_m=aIi}#n}5k;2&d55v*mJDPX`TudL&;P#=I{zBZFZW~g-{X1G
zuDmTv0g*~xwKmE4`%Zmr5f|9m1L4rHES~&iAM#|%R1i(
z*C4d&RuBLPDPAvu)C?ZDy(X79?=~ZO_6Mv3avhbGYS012HS&LF`*6{vHa_+3Ae^qz
z{EMnVgOdy{96O|?{#8H${$vat&#&NcL42Rh-~H}`&Z){V40qhNJTq8g5(zg-P>y&1
zUK~wA4sJU6hZzCg^z^p7SIx}F#@X_jd@mh)w1&K$zoc=cG9OA+=kdO9R~?rgA4<_C
zl>{vL+fCBHHyb-Z%6{A45IV~Rt$K&?uSR|+<@=M`a}PG+ucf!%KG51HZh3jtStqo&
zi=V<)PfETvr|gJTlf4L#R0EF;6!gBnDskd!w)Ob>khv)R*Wg@9f{>XWwsye2Vr%>i
zKG`Gd`D@AKJ_B2uez^{GesQrOk>G-v*A2o{k$VUsj=&|>PC@Jr20MF`nj#h2E#--Q
zB%X9NjW3H#J)5gy3<478jtQc)A{ROfrA4|*M_R!Vo{$2f1?LkaB82fm$KkScm2;E7j
zdAU8u)ab>YuPQm&2u5nK;8sNpc!HfpD%mqg?5#R_ZS|2+P(&mCET0i@eeTjIs@Wr<
zGLAOKj+0V{GsSQ`riAl8u6J)nKm7$hhNSsVkcIbh>NHl_D+Q0Irzgfc4O6#wKIm=O
z^-O%otIosIZ5DJ5#10Xfmy#&TYK(+XYZQHCM(8=|Z^2RmfBtl3X5qC0
zv(-D1kY@HHB&^TDKx&}--GhAV!-fqf>_>;eHj06FVSkHbZ{6QFb?+T1HO>_=(dV-E
z#TRH1>!wF;1zv)UMXwoLT`s#?iGAjstCA$HmaTM~HRiLe0$6srAQXZx%^jv1XgcJ<
z$%xrPqiTa5@sct9=~5m=T1*zUTSQa;AvM{KtaXTi~p@t!&*O{<}^f@zR&JB3D0yXV9~V;D(T}Q7HrU?Fcd@2S#5lyBcV3$6Pdz0)@;Sr~C@vSrswJ|=DzB&C
zcyDFmh6G`N$=8(^vy2PnCoiY?>V8G7>BhjtLJ8HRAx7yxBF;P%xTWtNn39O?%
zq=TPA)VFC!Bq-KlG5i36u&URzY9|I_RwQwY?yoZMHXQsUw<2
zb=zrXAtbP|^R*J2sLQuQQ7v;D%bFMR6?IQU+&%UJW4f+a6^3iL%)UDddj295&H9Cp
zU2-+-ojI}#QZVj)*SYAY*)~6xsDza$aCfVR)jqg+_q23^^B*>%)x<4I2I}IvC!UeV
z8w`{y`02zn&Fm}vT`oy^0ZBE|=3hlvUl27_X?t&`f_Y)NL7gcntapVKA~K
z^zXt$`r~_C+KgsS`pYwBYx1Ujy9L%41A}_!%FZLU_1+hj!l&PalQFOjp=o&wN+VkK
zhYl_Z+=miYO$Z809dp~4l{)6g9ggv@XjR%$7wp{aCr9m}T9HfGCzkCG+6G3wWZS5c
z1?i`(n|_zk-#oC&%v^ZZvXt?O
z=r}qwyE3Ws)X%7FUG&KX-b>|fJC8^i`i$y5T&_GC1TI>;4C8r+r|Tz5vRk41IF0Ivvfx#od27m*eJQP=600WJt_o
z*r07vK_+QiKl{bUK#~bTSc-F)`q2tlS1-+0xByrfUn=2?enh#qmikElM
z43b|KTm6ta@(mdCjlslpu3qyC-fAVa1ufUBzZZ{N<0mgJ=IJWM=*yiuBki$>!$+3d
zBp)CDQix;l*(}0aXLpM)3L80e`1um5IO_1ulOW2fw!G#YMdCRO!A_4pLI#rYa(g(W
zu&%?trNzo@9;&h?qQtOH;QH-NZ^Xln)5-aPEoomBOt@iE!
zq5u0V#{lLiRBN?6jA@PSNI@bk!1Be>Pc=ud!W5$!G>F>IG??6&JxX2GZ8GejfuMY=
z%X;Cg*nTuql-p$9ru)r}z{(XP{yWuU4H71zx#mjQUz)GLkj+K(B61P68eO(Ik^HU}
zLX9{HF^4Fplob7XsI?D0=!~j@cn&507dUxe_&>jc&7CoxZh@hKKJO2jH>~abg>>!+7)h%k$y089f!?m&W
zAVhsgc6p2m9K~#Q2`a$Is*DzyD1?|rG#)J|dKEi-}
zL*JWHD$iQj$an7VM<=fwYn6Ns*_?cX)#_aLtD_0
z5I{m7cWR%@u$nijZMIrHXpkxzWg0bgey*1juS5Uey--CMd9Jm($a*yIa&WMb^6iXzI(8scS5SYoNlg5*0i9i
zfBBl?$rcN?QDK;3IB6u(2+6*4b^IpoBiGI-qTE!WQUW7-=v@E?-0{Lw1y?$
zII}Dx!u}@4LIFi?h1_`W#inDgD=HeWA?ATWn8q~NZ*L30zAzD*lvW|mfuyu2-XLuerIj6s)A#Q&!Q2X(-#-3p!LZ!)iNG1;uGvaQcbs#onp4TFvX*
zG~=I(#cnQ>h@-;d)uqeIJ4tmv6jXQXKzRw5tOELVOyg;o}J^40MUXUW~hSxD&}
zE_YkuuD+(QGPhExus2~!meVh@M=yxm7j?&qKBX6vv78$*#?MMf4SekT6ub@*7>}lX
z%~P<#$75jyzVqiOG6Rdp=eG_+F>AEL+FM0SG~*6q^a|^O&+^MoHx`?_ysS)`#D6*#
zcdh{eNqUtIHs-55eY>}H!&bBV`#sz$1*+i8IZS10Q!S#OT3(;fyzWaFTN_$@5*lLH
zK2zL5`@$G5576AoD2MUzlzVAWJ#H>*8AOz{*x$;}er2`SNbEA14hI7WD1bkURCxvU
zUW2A+zJFW0aJ{5^SxkR?n=exH_3f!VcF)_$U!$1=?%Po>U~9uQ-1{rba=Q2^+_Tk`
zHuI~PEk<|t<*Kuz)^dw0lMT2pObK}*vx%OV-&RQHkD>hs^27?~OdpLZ`<^zb{D!L_
zRA@dxJwZDbq?!(cl6GA75BAR?9|sR?-cx|ynNvi>A-ip4#0(YIqceofan-b;^QCf2
zN8Yo$fA+Yo3L@af6HHrYq^s~RmZPm+U*NkuROs>bJgIVVyNZZ}JYjDEyE8wot+N0T
zv>L#OB1goIm*{E}N_TN95-VezI@!qr&vmCA!_(3d^$**~-0J1Xe_U4y=x%rs8^SPJ
zHi`#M>%~CitNhYdk;SCQwx^euMS$}yy20NENl=N1`n7g_QhgCeuesqI;IvX$a`DWr
zQFoHnj;uoeQW24sS_I~YmJmDBBX`_6n_pq8n#5IaRlw9XQ*7B%aepPPLvFb#Ga;%}
z@(GGtp)V;hz=;W^#WuZ)-Xm^c6LzyNboUFOm3lj|5!$X9N`!$O0n_I~%|CfLftDbx
z32|~?o%D1LSxrI^hO;SqCCHd@j<3O2eiRRScFn6^CZhAt>XoIyt#M}!^rIEp7`3J(
zSg+(2+CIh?)vB@^4TtY}`7Rx`4|`S1op_l<^t&+VK)n3KA^>i$8!m2xn)2GYAP>Hp
zq&93*LgV$yHoO*i?(R1d(3#3MY0@{y%yNHfrp_hRQ_x>ONWPQIgXf3U1SLz~XltlTbX#@Iq;JzOlTZ2p+L&L?fo#P^*i1ojijt~Sje>#DIq$aD
z^YD=d{b~b<9RvQvF07F?zj5B%ZN3Cl%DbrHUo$z!H!6Jt_+$kQ-Z+8&u}Kc~k1yk1
zOz_Y`gY=318}b@jPXmi+MRXzvc-7F~TZbTEdMeNl2iQ9vh!p4!=&XdMXLGRJD^<4}
zVIo}~(R?DxyUz%#JK2klkEqptDopRbsmfs0T4^mW=M#NC-A7|MCA`)^(9Ckw$Gdl7
zgHOQG)rEKzew`*_;{LC6U=Uv*iox#gw?`|3x*Ogue!KplX&-cF;)+-K$%QrcU*gU#
zZl1=VgVpMbz*1&(d@9SjMb-OM)}|xOnO&IANjP=8QC>xrb$>tO@4nlhT7F1Kmm+AQ
z>H6UehN+X5Zx_!2(MQ?|BCvP0)r^ajM=#_@QPy(o5>u09Lk@%bVlE754WJ!5>eto$
zNnmRljzN4c+zbQKcjl5FX2sZ?bWrP`XuEGVIs5S2JccKFj=>H+WsPmS*k*d7ZDV?L
zy$IP18JG=Uu$wh1s69Sr=lzko^pPaWU0f$lIee1KDJZbC-LoZU#E2_)2y;}w0kYcvVHs`JL_CKo)agUicO
z+)tl^^}aEOKU9)RmVC@(CnvW`MiZYhzAmX*V#kGWL=DXM=4ysB9bWyjHpr|WbK?Hh
zCebP0oymC<;c}F5jJF!PU4OD?2BeYvg26&nsb@oFs@{5>A1-E-kx-4dWuN=2OgTXk
ztlvcE%>7@MXl(wIaSGaLd0PNOS{bYUZHV|c`zm6`P
zz+zmgJpdQE=Ja_zCD$ut*k`{WCO3Q{D&u{o+}xhqTW?$!3wgeTa%z
z@eI~We=nI~_jd$kj>)10M|DC2p}0XWq3Gw-mgsWiv3(6);3uc$7Ad8{POOTSe2D=N
z5DzQX-i$!u8Jy6o8y;DG^6VQMJ=5|Vl~3?@!!yNLpY^yj39+k)o&7i((X`t0^uvWM
zha(Wlq;F(C1B+MA&8{2!$R!W>#q*9PQ5;50A70pMfSI@2%%}pQ&Z_+JD)&tzwiW
z;P^DumvDt@Q0B~er(E4+V6!(j9RPig@2c{9J9GmrILa^h(zjxYnOCK4^8DeD-N-6l
zZ-e|X!yQ<;x>Sbg`3KXxCT{p7aY(qDUyNEIqJ@SD&jF^I9U~`(e^*z(9`9yUN=No#
z0kA%Pfe(*Q!Qz!3$yBE?-kU2I%R}_Y`a_ZT5r9unTrymxDpHu9nHNX>8Y*;8kXZ0)W6&
zUZbUfQQ^=%8BexU5H{-$4!MfxiFtzWOdlR`m%l{TOxU1Q;zy?4?V#`A#NUF5bUL!9
zV<@~(%ECdVQnboYv}{`1NYdKx-l|+9tHy#8wr@jnXzE8gd^osxJd%nwTTC{w(A6CG
zvrxJJ8`-2l@e`NE?apv1f?
zVb|F?3wuBJcov2vo;i7-ygI4g^6VrYa@)9Grns>WemZw$Fmpkwq1uov(O#5W5!4G3
z0jMX)=5D&FpnJF9%j-A3Cp>->x^cZd0dkIP9+^tR~uzSc~S4-%0Gv
zOkS;PyC5yrdskB7s)W;9od?sY3=Lu_Ax5tvw{enQ!8>T(|2hkRKX%Sn0dxUq2;Kzc
zL_sB>Kp%zIhDXM!r-XtpZg%)c6zTnefMORIy1;r_;pS$~+a~iQN6R|&r@qi1Vy&Gs5W40OnXXub%WIE#AV;67a`U-2n184RCsR8fDSgDIDNs(6Gq|!nDJ70
zT)M#GNw=o6PO4H=a;~7faj0%YHyy;0X?P0~yu}cuEMG;Xu{sxyMF;>Jb&*3~5U^^7
zntb}r3(wZam?)}!*f*%jQOLs!`9oN0a)x4M)K(k9(|*(kZ_ZxNdjG{_z5l2v&)r-M
zm7+L>eoW$?iD^rq-P-rH_j`9`vjw-LjuVmW`BNS-ul2$a6ZHGH#;Y>I{a_cb-MM?M>YBG9m*L~9cdtEu
z{FsZ`Px_AkPs{cCeJ(|vje7J@0k(c^pREy4Ktf?_g-NJWB>@$BM^izw%n^1-fk#<7oCZdm>Z~y+U!$%aH4yx|F1nV!HjkI%9;s@f!-YKylU|B*uCtzx
z4MVhH@OsLyskdibhr6dZCwe}8xUrfSs9fQYmg?tnX&=7h=6~(gLyL+_in>{~L8`Gg
zp14LLbc$loNhimLH?q1Fq|=AKe4*>4OpcX5u6Fm{>Gl*5o1l|9CX;+w>w-&BSH2%LF%VodL=a#<}H!;QeXQELqVUfSo`kna5EM9eACsR9n(3r
zT3&^SJs#Hb%Gif4r!oqjOKy`
ziC$fJ8baNBxG3}b%L>Ey)UneyWnL;gzoZ^xy5am>iQf@@9eHJ4XmfmU^1GtBpfF}A
z#wOvlG=k#s$M0FJ4=wfSBC?u|hV1e#q3S)qU7x5QX$kEvweF$UizmK>&YFzYft25^!O+;yKMF=Dx5WqMrGyI(;2JAJEr8A
zKiEYSNmgBcvCH#j@%^kD0hc~vEpdMzw=>s$A>(-cjgC6zU6&Q3;N6c6w|h(SokIqb
z7pyfUSrR@yofc*Z2xk8FyTLC1+G7%)8_#?}vi|&1B5X!Sk*LfcJLa2|vawxt(be(-
z#&1!9K1ZUp1pm0zIU)0NMe~JcTc3aSD5sZ$^dTm3_cr~?^K0XJ%?`!r&K@S6wW<(}
zWmu9i4U#%>+wmJWp^&l5t4J!9NKpWpJ(#QEL@=a}Evjqh{Ic1yeAU2c52
zdF|gNn60N{<I1&3`Dl2X+5Ge0(%g=(WYljk(xmsZ
zPYZh68TgE`g=%huVP(G6rNt|-F4}7Bfl<)KAnM)UT;IZKPRH=n=Ghmdeh~?a<09Ov
zBU%d9Vtl?*@Wg|h(m1+Tlp|Pt?eP^MP~KXmZ#9)Xndc(tObgvA)VV8)NoKUcD|N?4
zJbRwOEf9rNO1j=!HU0|U*P?}a7i^RNNS)MO`^_z^+f%)&->_Y%
z2cw(PZQn>9ohd)j2)rr{Jua)WK7@;M_i*{|Wc0F3DC7
z)CVd-rf(d6*ZzDc9zoWC8{7l9J_gx|l6u
zZD93&89B)%p6xb*IbI?_?!&tcjdQy%QX?4Xy<@n8;uOPeRU>q2t(r{NoIR`qDt5-E
zLH3jID79(lTzmYH_RrHNpP+~@%3IBAzbom4QP$TEmA~6oz%3SdI)ueG@bszMk~zO`
zEGXkb=Psu&meq;|w1=>OPE;*%&*)w40bOx(VyrQJNfbd(|UCMS&H
z$es<0F>}B_XSSrCd0-SbrTRv9UPx-Rr7fKzq-66Myy4_?=D`J5vK5c(!>V3J7m$TT
z-*vUM*|;p29*!iuGaL>wx={Ge?vd&nbc}q(rg|GsLsIowSfZ?48vKEOVK)x%6d3(<
z8mozdLp}+QMdbm@ODOP`otue!ADUYppQCx}sD_m(L+BBXh36
z`9N;U=GIemv9MV|2T%GDqpfRJ35Ymm<0-u4e)IivTT!;gqg}NFt$APH)xrd{k=8~r
z9r1)r%dt1tZ!aslYN=i%yKwHxdHQ9&>#Tu~F@CI|<~n-RNgB({uEkdv^&6|2xQIQv
zEeTU1qgOQ2Wkg0h!^#7rEoaC#t4=W|0ylh2Rd6Vy1a;_@>9ebErrGMjqF;K0bzGDEB!l@Yq7
zfu4P3p>fk+VBhG*7u}bmD?A|yr#RNTpXNLHT+FMikwQI6Z!%b%86n%jpaBYG!LIQg0acl!vgpE{OaM7Yb2rgmHp?o5YE
zGfhdW{692(byQT}`!y0GAc9iTD$>&3ic(S{4Bg$`LntBAA3?fXx^w81?(Xgwy7`^)
z`@Vn78kdU&_nv#s6MOGxUv+1d^^&&}TvP>R<$=uk(?)ZKtS;n`(OJUEUmnhF3366y
z4t!#Il*`ZW>Xf)7so_=J#iC$fx1k-0PKCa$HBwLu0mXW6LrT(4V
zFg^@>b38D?-^oGy2|nIsyu7;m{qB~H>JJJi1iY$4<+RReghG`12^NvUSdW@
z)Ic3whw8@ib$Fpupmv&hb$ox{!=cxmM&c8^Qc4j%WIj(Oq$}mia!_}mS+=*9R*doDlk)4g0C}a4rJb?D3xf4{2212KUAy!u9NNjkU=~{
zA(oBy7fgiXk&XyX^~tO{%x!=DPPNdvYifHH;&FOFeBkXG(R&+viA3RPzmZz_@HM4A
zrC-BaU}tLKQtugGj>Q$+CfZ?JqQ2j_%e-`TnLb92NT8zHPvp*vGP@`_;Xt^NLhwFm
zI)s??(R+v(BM4v2T~1EwbPT3THzGQs+Hy?bmzde`*cs{&hl`vNf*@9Kb*eh@n5~%w
zEYX~KW_LWU{$D=#Q@Xso^P481-`9zmG`F@k?g%0X+b=cfvS0iAyw8|}J0Y~E=X0{_
z3P#sG7@YJ4bJp51lZ_CM|6+VCwoZILjz{g$F*WM#Zm(x?9bHw_w%`0fUMjrM)pI0N
zY`cDT#PB}P8&M
zcgrrW$5@AD=Y^4~ecU-$=*|QJXfDwGnXk4P(Q~vgEu)jJTISU(vCzccB0EcsLg)LF
zK|H~$zc7!hdvACvOO>Mbj0aT=zu~kc!^7o?o`fw?YC~bdrdOFiHszXbb-te;37nfm
z^D{Ahkf@~xQV?>+NZXTVXU1(agtdCG3@-Y
zvHLyn$Z`1%{oB*C0%XK8iM-Dnw8O6QuDdB6c|u_X|#oMSdxZU<`sND)b)L
zgD#EI>FdT^zOQTRVdhewd_gWD+0_ttdF2lIH=Qs2v>@~rHmRcwapIysH54uKx54^acLS3=CrkOHsBbYB
z{^AJ@E}a|9J2&(}!PAz`UbkcX+7GKAK=xi+eMnq}>fC%QTglE>hY2KWyO+^?f`wRA
zlF-O(U&)luLaMB4=#E^4KToSJwgk4VPuBlfW`0%jpx%)n(%oULQhV|p?g0-Zew*Wu
z3pzKGM&39U539P-xoG2y6qwl6+3f+*?A7(=;)ZuV9LaS69NX(
zfUQc#U@b}L4-l(+O7GxZlsMPdKZ2}7gR9}K{Sso|<>w;YV^*!#S
zo;`gt(na*`6$^`SBwKX%ucElGJZ-t1Bf_1%WFk;=p;$8R7W%)t`4@WnTdGe<$nAt%
zObM`=HsltVr{v3PH=jfD=LcG5JkBRKun!UtHL{EXK83sE=M?O5q}Dec7*Fj7cKTit
zb%%R3Bkp~;g
zesHBwY)%!An#BroEUfb;Y4=)EiJ9LZ{M;S_27fC
zWoE*6s^4N%9>USIbNBWvy9U8rNyFZ4O$~330R$pO{93k(1XgES9vgUa;$jw!yp%R>
zr=rg9l9h!bBwxnuWgTjLE3f*3UV3^GF#|Ybx<+bP@L>~%NbP%(5KE1e%~PV1s=82Y%0#1W
zhRvs1V&9J>H=9a5+2RWJ7S%qr)ViDJ&CU(fjyPyx;K-9Z5T0vEd-msaDI_j}3?~16
zSa-<&(1iA!bgOY(soF(X1(NQe#ZhyIB6u~zV~qR4+Hk)~o)5XK(JQ&&{&b4b3mYWY
z`^^|>`o8>}`pmct^d8;?3F46Ya^NerOL^>Ta$sv1fH;4m$n~N>UvI6)=s3>|3=Gf+
z2qb_pE^HecoBPWykz+79sO?}|nYtuOd-(TnBPGY4lbLR9em<6s&7tsSbw$O{`1(ED
zK-ja3eytzz69?AXLUw*sT#!F`pF@g)g9C}Yv7~BK7yYT>A$Nid-Dmme!!N9iZ$hiF
zE(Ai+++TJ-330N_e_!42lQZEv{K!-15{7jEj%J}u&Lq2=xZr{~ipC^NxUl3ZQZu?h
zhH_}r!QdmU$aS$iv&Q{<7c|+KFmeWyUfNpD2^Ur~J5&X{v-ZcIaIHdYYt<%GK%eCW
zU->+c_$NEJG%`?8pY3{XF8-M3vyp~CF_}tx%mPc63f
z`#d!&svDb|I~o7oI9DG8Uy_2r2f%Ml^%cd7waWQPp_Iw%!?Y&a;}!@2t(yH`4H`8t
zAV=Z8_4*kZZ}Xw|!;J;M3K-p7-Te0LTkn7hzJGJ``}lZw_V)t({MXn=z?Ci-F_>a~
z5lX_f!=M6nxE0vs49I5@q|sQI=s650Tgwvb9WuKvI#!$?9$1v4+;o-YqQi`Ar2<9=
zuA=qV_ZM{wdwJyj)Rm63{xlhMn9%&e;i37?npD?~PoW~Oss1w
zSk12e#_by1ux6|^F%Jwop`~ko(tJ>ecDslLRp4aZ;lOn2wi>H!4ve-G6-2pGx)l|y
zP@%|#;AbtWmsjVhgp<3Vx;(NcA-QZ@&JZluEtX9}8jh1$Id%-Y`Cm2eXvbSfyzrQ!FRJY_NJv%!Cv-1AHcyv}t
z<-!B*4euaQt1x}es8U3BWO2@|iZZl&WAkF7cXoF6`BJ5NVN9G*eVi4ya|~>vz-pV@
zt|B{#{%&mC^J?m~Jt-*?nizynQ!B8;dJ{TojJ*;BO*CWJ(6!>`(vp39CB{Z282Qpb
z-bw^57C)jr6L&J(#w3B!Z8Lpu0rY|Q5wOt1Fdf-%EnKYRx~%ppBTC%AlT!Of{FN1A
zaU=d#94$YuClUqFtEmk}f^bh-c3mhuQh&%4e=qOzp%61cEGwV;`xdQltLXD05#DSK
zAA09Ha*-@Am);#d+`LU9HwM^aPoFD=n+N}{2rt&R2f8OD`(#)7JY05Fd@1mjNs6EK
zQR9w|ws}6eStklLs6K}!6
ze~OOCEl)9k=PC~Pg!k6S%m(T40Fc;C(2n*3W|?SUMZNKgs*FA;DNFbK4nEQEfaJ_Dub;G
z^#ODj=)j1;iJ=wOnO2f-e22!AdUpUdG_gv0CeQ7i0k*i-gVCFbC~_y_@_Yt#ixV}n
z)yC*0(1FtYc>8r?;r-7X7UAnOg&?p$igG*!f?U_DVdS&3JnPF=oI~Sg&bOgF*RCbk
zjdsjk$|_Z5o*yZ!tmgX?6F#{s`^|>*`u*1JkxtO+q%ycQ{j+O0muYI;C$}c@AUM#d
zB^C>_3e(5R%d^*YVZ-SD@H^&o&JVlW@nK$9et`b|D%?RPA?j~Bf!XD?n@=T0=$7huWc*w*&^zi_pzD_bZIH>K`{yOy+t7&e)p}5G-
z&<+uBseU0U=C&U#x=X;+f|`{Tw|rX0$%zY0g=c1EVQ+Z=?@lt{YPOXd1LXrv!O+ms
z)IqTz3P}Efh|iMqBCybE2M#vg1o;hc!3uR_@vgGMiYc?X!KIe=pLD4?_-%vd`{_mH
zIoU^xgNcULmOis5xu=F`IN4NZo0^@Lc}bDjS28$*dndfGyswMvjcM|}xebexV+YfO>PPyzsw14248~
zbt#t&OzWL}?ih_fxt!&orvXskz-UuEwk)NO`~68S>`5gIm3m8VNUPCfw2-c~OH$nQ
zr()n^Bw632MK24y3s2{Csz`TMLHIo1-lA4tBe@tVsyiF>118tF6&c@`&qiigPL%^G
zz0R(h7pvH(th0kWL%&GaCDRe5vj8=$pivu?)ikZ@U^f7Kn1^Zc;5kA~
z>e!X-L9(m$piKJ~9S$TU?B)2+F2BXxR{H
z#TeOFg+ik7aNc6~MgP!qY!hN^|s^>Y9>ot=t;9-AhkyfvHnR>#rNJKlvT1D>rb
zKemCj!$?Q}Gi$go-{}6;PTq}oJhJXWgwog1w#)v9`R*bnw6PSkW)n>w?0ENhEGwl0
zWiuvc;ZE!ARj6OT=ND+^Px#5YiG#^W7E6;@bw^P4cB|}{{EkjQ8uaP7uUZTYCdRDY
zE{K5F)Efu#ta7cg&!q2JcE
zDZ~OYP1*-W2usqnv8m2gGVu8rSVtGE0$Em-CGZxsbNw>O_xf$rlSAE{(!SJBD<0Ry
zS+R>>{X48h^S`BklY1nOErTK5sj{;Jked?FXQs_)Jq&fxJbpnwdtp)%UW~r1aFFs%
zl6>A
z%L9_~pAw^o5-#t8XeK}7xn9E_$3MakZ}*zyWv6?|q@J^64IC#JE##mLv32h_xgFUp
zyx1}5iP(dk)UkUf4gZUMF*i7jNZW<-?1<17)NQx|=KozR!-+YLm-4(M+UAyTp_&U*GG?a~=J$5>!7mp&uT-4)Wb+=tYd#4q-!ZtLKKrmb(;(lD2i(5c6o-mH)lOx!WM#t(R#c=qrn>kuD+~qr)
zt@C%`fLqPXa_jAzo=1`EA|s^j9xurjE|qj?%e{-nqGm7A~t@r;s{1DOdAb@M~O
z`r-b|)}+e$QRoz|%?emNtgN=p*b_*n?n1!CA7A8dTmE};wki5EviHR<{htwrRAkg7
zz`ZP%yT9^7UtxBe{<6R<&#?Xdq5!Nh%*p>M1moF;sjO2|mo+n!y+9H2zVS&ank%&9
z+V43uu3$cRJZ_F>de=e|Z1x}wMSzDXuCfc;eJ+^20%>VxBs8Uo)`2kV#s7HQ8Fd*1
zZyUnrY0^2f&+y>2|C0(Zh-|a2yJr~)l1d9F#AKiq|Jeck^4c)wKyqG78xguo%epx_ss9XuZypSW99BD`pBkDT
z&V6mp&4|hjduDX7qJ(@?qj%IYn}fiF78WIJY>Aq!1Hu=C+FFe=;AbZ_)`x2UcohWq
zRkMvi(i=T*RO=k+fw>eaDylB)%P;t7uz5KL2M%C?w5G9mO(-Ttgd708AYP~!PVDpP
zfZnw6{;U|~2%z(UG1~6k`}Hjre
zviOY-?+;v>K4#ROG0yEVFxsKIfTuwiHm;5Z4cVOU@pvA)k7STo*SMA=`vQu|Lk0W1$M
z=4E>xw7ka3oh)uOqiCx#=orB}ST!rFjLIo^p#Yi!fc7PpvX4nccHEBNus;*5*Bs2!
zZ!x#|RE*&ga&_r$+r{7_e^00TQ;ewSM?$EbCt`qMpTubWNS5st0S!rw8YW$#8fTPU_r(4g2+RmOY>hp6xN)K~WU)Ay1yM@rP!GJzHN&e!&owT8>xG
zB83FON8y+K`+kud$wVGpuK?R@&6v+cIVPL6h`^u;H_7;?z
zkGY7g2g_X~ej!NCF(bX+I!)obD=E3vycvg+=B$KWYUVqekBDs^Xnlvz`MSMiotf2w
zlf-Sma`N&d<-ucK+XN(f%bAL9E3+TLLhyFHdf+)tMFXYfX!i_6@ec1rH_q_zxKgqw
zVPUTKJ(P*-_VIhG4wK!ZW8CO3&vEk@?IQd0u4zG$G@AbWfh6G@yWOuwK1svH-t*knFdxJwlp3=z1x5sl?07GAH3W~|5ff?{(
z5HoA*jZmHifSd^H0y{#$#R20w)kY6K9dPueBqeJOiUoepQ;>GuT=8)_YyCBc;QOnw
z*@2^;Ha@q1UIYH^!7qd-rZB{Ssg|a9yFB$erlo
z=j2}3Jv%<$(dvZY?_ruMMV)hBq!1A8?o^bRXnddj)bH<-X?O7vPcuvkgx2lN=yCw0
z1eGWJT_BR27_&ZgXG*S9${BfzqTpJTywjr`1HYZ)H)oiA5`Nr}eS+fxs04tl)P*o&
zg6KZBX$PnhvKfsP=eeZui_k29EZxo}=L7*T9K>Fbx)e=1%6Aq@sWv)cpwJ$sMBpOU
z{Gs9>&CMBrx40m%F`Qga1YUo<;ByHfU)|sD&j=Up0Uvj*3D!Bc?bCNZrPuc7u+Gku
zAVwb*gym(EItDNH9iek0?f5w~<|d>&+a)!|S4vgY3d0khLk`y|=Yf`o?ewMRQ&;z$
zt%Is`?H93-0SR-Hfqj9g$^6O=zv(^UU5DG>FYD{)MfC6zaR0W2W6O;y%Ck)NzD0Yl
z!0P%`kmFLh6y8QQChfg_YN&BBF;c0%Ur`xL<^;vrXVRO!c3|#ub>CLA4Y_PgK|p%)`nm#^-e=TjUadGYBLi@-b*q7C+2`Vv
z5h%z>o#~#Q3iuuCqC?U-R8zg4la^q=eN2go0ftMF(ZyXGs-<~Q#dL(ot8Hb
zyGOgY)hv2dvfVT
z{h`z8`{^rjbK4b3wB3cljhw;aSG;4ACIN9xP3}YVFj!6MuZst#2o^8T&R31n;3?`~
z{$jKM-=6WLq=!oBkKSj{%~9Yp1*2C
z#rNvJ{j82HP7+Y+vWaN#%p<4?6IRpO-Q;%%^#WMB&5!y+?0(%Iu(&wb+F%fthvt^A
zuw6eb*zf{*TExqo+!-pbZU%9~f>je9@2aS*ZjXC^91r#vyF3m(?9T!xKs;ky-~s{L@oLTlj4Wqn
zzH+eb`P}~aw4U+qwZq)W5bCo-Mko6DG^86BqLZtx?6gs-CO~`RrpF+V4bf9GHG77v
zLMF0;qE8UW?Nf@mm}Dui26=hM`6$po2d3z$RT)V<1BvZLc?B|dMOmAX{n1_4tL?VYLnS0XVFJXVATA8q7>#KCg3eN^!By@A(1u35cq
zN*-Tn{E#@l)7Up0I%d7CYtiAwz@PW%$?1`a^O|9L2+Ga7aRx6{JEm$};^(1qlZtW%
zopWzt2BS<`D3O}&QMb?N?FHQydJpo71;
zqWpHS65NFCuvPi-#`LI%TbqPnnKjb`pG!1dMlqO@8XQcDw-K@HaX_Bvz&44n>kWPf+5t)dPY=+>S$CCN2WQvRRt{btqd498oTzn$
z-NXxtXog#^SyWbU#Dd>EG&bKF9n`=aDqs9NhkM>g=0iXL_jqZ8Ylmr0pOLS2FX#X^
zNgr&UHQleqdvT--37)-Eorp9l95;{Un>$VM=@3fry2IZJ5V#5e${!gkv6_?DX~q&ENw6ujXa}1XyV17n@I6Dc-+K{
z`GBT*)K_3sQ8g*K^-NW(vqmzyuv_<}i!ZjH`}8sPNp$8pv1y}1ot1Hrx->a)MZ*kJ
z(r+iF=bLy=r}
zVFHo#KQ`eAfMaS72swY{Ou6Y%$}x78l|8Vb*-R>I*r`Ndh1Kk}qCknfoY`w`WTJ)<
zqy0SD!ZH=eRZt(2CEnZ#3D(kDJ+)a+Z1EDtqZ=9xhK+W985`-lZuR)Ao>0s5CP)lJ
z>JoaY({`kv`@O}wYxVY)?I~-`tmT2Bjg#=W7E=gTn1P4wJ9RM%!{?$uEh;Ufzax|+
z?aP>QWXvWjV^gG!$xC0Tz!Nh+KcGuzElzIkL(a_cvDL@#b^>v6hO|`6EE{
zWS2gu)f0$zat;PEUsWe(Dzucg>$O`JnW9<{PtAuR#1|e>b-3o)FPR
z*N(K*DfW7T0g+D39up$zf#%g&z)RN!E{k!54C;ZnCP(~}n6MQdXn0*x`Rk^&I#gGv
z8!5J-Z2fh?RLe>l*MECN657(Gqcz0~k|As>8}BeBWw18_n$$Z1KttDKquamv^lj$k
za0hc;T}x_U$E2+QraO&%_-2NSoT9?S3hzSiZ1eQ!xX0}RG13To>(#AF&I^K7@A8ER
za6Ifrr4aI3zerscn-L$MZY#&4v@MIHSB#u}MqdBr5cNhdk1gC}z8VD460$hn{k_ND
zxT77!2Ke6n-CBiG>ga{x4q3tXO8*=;^ASODG(Y5{Bzlf%1?9ej4|nAqJj+RljquU;Uwp1{we3^&@-$^BoS#Q>
zHFXmF&2}DSzPrIy>pb}*`2|k7{>l_Yxih!Uygp4&9`CFqg_gAK#^b
zWc3_=_d!kPD;e}NBg?yk+XohzpxuiaaIm=x`ZwB#F~5$8s@1V4jh%j)Vd&`+5Qw+
zQorf3DT(=~^pip$KTnqRmAlogfKTieZ%x7Vo?Ft>I})ehE{rNb
zUDSw4l5P&>b9VAea?f|QNqM?iek+EqTXzOb`h$MqsTjRkn&8!)TLDxg0kFX#NiREs
zVC)#ei|_I?OMZbl0V-$c;NrcO1}1L>%+Ewe%QxjAYSM)AkJK-{0*a(QS~sy+E9a*q
z*e;ng?DP!vg9f0KyuB3IWsQ6HPhSj#47Z2ny^@m8NKUzQY#QBH*J-t0C&*@%w}lih
zR!$Nt+dj;TD$IrFI|Gw)=4yHHP;18jw~sa4WU
zwUF`VhKB?Y-Od-4U9FNeUY-&A*3P|_hCn77Qu?#Q?M(q}=j2ES1RxTfHGdzaj4CFG
z=A7}y7$3QtOVlP&g3A1>`A=!ZrXxuapEi%j_0Pbj)vt*>Uk1rl6JVIjT~Oze;`ETc
zYkmY-zDTj)BGx5-b$Q&{nkC3e6CB58C+IfInVif=)PLpfEgcb2GL3J^J^AWzi9ajBeqQcq2^_dC&&BQb-z}!(BUQ
zK;h*X}Xj!e0>UKc`{pPOA!
z7^S+{J6V0gS1Axp9Du62#iF*AMwF7|U)o
zGyrsWtqp;S2J}5Pw!|r%g%2b(JfoRrc0d}l$1m)(RpeG;rR6;UdaBY=3+YEdBL4KU
z{;}-4$Kk4$<^m)gSZEjWSd~CP18cyA<*n?lN?}{c-3%t@Wz#h!XO7|Kz{wL%u8#H<
z$Hpu0@b~)5xQO3r3X{}!A(ZXPZvfrwhbve2j<9D&eg2@=>9BC)7AFc6
z*U(tzDTls3t45*g)>;PWW2}upDNqI)Bqy%@u+lY!*D{GDP&}3KCU6f@6a=CzwOCn5
zqHUhB)tr?n8P---RtFqTv$J(c=zUgyjAj+`aeP~FsEr9fui@A9aqz2W9lpT2aUnR_
zIf0f;?|BY9;)UjQ(l={>wns<1{s{FeP(9e(ZsU@Q^ytm(p%Tvh5`Ukn(zJ;WHq{T5
z+B`&+(5_KTOU?T8Hd{Q$4(-qG-V$7va&%^1_FDigqvA*n6<_6|G&cdAh1KikHawAV
zENnIW|CWk?$Os9@MsAO@AY{`zpS9)4S82o}`Ch+Rr^)`}T;VeMWl_q~5m_YLD=eMVXr?AlmUMvXO>AioX6wAi5ovy}kzFPcVLv1iS7lR9i
zTA)Q&>VSS)2WYriZxQEdFar@=`aCQJCaatSYH9QQ*~_Iu#k~dfzZ~AG{w=mw6e!@X
z+P~1KOn~piKY2mn3zfop;*u{Z*L3LShvuwS&Nyf#F`pVbe)-w!@eQw%>-Me>1C)ou
z=A1IYLCe1iFkYS=zzjeMRl^0mY{A5o?oNSULfy0S=}wV*$Dcy8Sf#O6ptwMYYV2nn
zCr7Y~g_~kpPqL_$2%haTbr>rm3dMyb2o82|boj;tmcCKFQ%C@mD*EG_^V~2D^?%2S1YsD3%t!+KO$0xe}It$ENL{1XPrF
zT1|P+xxT8rZNH}D;Qm*)FJv9?r0)+Q)8}RS6fYzFjs2W>N^_Ot>+;!lP>x257?s0Fze^=nP
zW_aZ0S~`%(_dcQJ^w?U=w6J1BAlE?p0#uc0!>4mfRu)_eVCw3tIjj19GfCEYZyP1G
zwXk{j29|+3&hPfDNynLhM$WjObRy1{J#E%1fTE28+PDk8MctuvQ~a@Bk4+#;5}j!O
zW1$YDdQaH!|IJ$YMfzh%Su!%&6E|6my$l;uDy^--4W9q;A>YVOlwIw$p7kIH7sHQ9
zIm#}>20CAHf4)*U6$7+-bVgjecR4sdfN{(@Y9(iox`pS&m>EHnOQB!j1DSE!ru-40
zQr~I+8n}57UapYOhX5t_uv=sL(UD3He3R%xL1k3&fs3It1-;33Hnr%^{c^2=qy8p*
zRkct^twQg4qsJZ8VG3xtq18nCl`|Mmj#rA%J2{|wJx<=9)JD`G7>@0dg*r$7yM6ALoa%1R}(lQ@)VL0+-vb#OER3`St
z>Ju+S+te2Kzh^7;?8#d1s?F+MJ()TG3xx1WjgNPe&;O)sIt$TJA0>u
zwu7felJ+ipHnMxe4{FBI+;=t`LknNQ9FWLRFcjci-aN%|$pkIs#RW8*j@bMS(Z4H(
zzMnpUrK!iu)}M6RSrQq&om8%d=Pd4L)ReTaP0USo=xEQ#gHZt>DW3Fx-TCDA8bO#W
z!0kFroNd>d{U2NAZtHp61f0N6>+a>t+dI+g$iZBm;dq0={5{VbgsjKp|CNi{n#c|Y
ztGT;7Z`*rk=~pMZbagdV+X<3PJ{xjYi+!>y%KiRIo~5-Oeff?3&rya05%U`oAXNI*
zZdnCCc7XA^3m@f-GxTY&2Mv0d^?dWqRWxot2^S$x&o8fj<{@vF#uxk*&b{MyD^PA$
zaF|+E2Ws9SFKGfW59B@(<+*{47H|=zTV6ZS$x=&KGYcvxXB#HN^#(QH#v&k)K@1kT
znOIC$R(=!fyO^Rsgvj(DRqk$c$U?fAL#0VTxmr)l@3#Hq0@pn
zCshGo9NjId{)8>6OInWH4d}1G-U1%0ls`m-yksC*s1Uzz4
zTtREtN9P-@IAyqn>iQAeebq~!kD)*VZfmD9)(8KU$g8=`nLSL`7oXzsae{zs)i~m-5x~-H!VHd*biKZReI7#sz1pj9UoRY0YYm43v
zt|Ow^{5uYA%7uv#@ZI;JQrr|z_o@B%0dQ6FE4rx!iAL_ERNV{Wrpej*j$G5qq7*1r
z3_{WbiX_1I$vHP2l~L8~rp}a7=!m4A{L6(=|4K+)-_)A3ie6Pk7pA0{sjd9~uLYRk
z_BcC8XaW~4$>F_C7sH<$gbc_(;)L%(VP~80!@f@Q(zIdoAyW{d!v%$tpcL_vR!*cC
z-7VHAMR#Uw)ppr%vhgIR_8V~y8dd_9q)h^H(ia%j6j9^Uzb}qjejbq`W;m@
z<_|2kiz0#2Uo?>iKsh)<{QhSa<+=H0w9ITjAs5DAVh*Y`paT*#XhQz-X?+B!5+SoR
z73bV$T_W_4!=y~#N&AbWzddudEkAp1pMlJtCMfNZX{
zVLEE8bq4)cDRTS+QE+4Q%G6w`Y>3>LAV@&}T@6(7VN)RQ?Q%W7#eQ88yQ_7M1{KHN
zQ3vA{yb8aQyH1Jb*n*;s@$Mgi7bDon2LRH^>u62F(M97C9iz4WO{ZY;RT~2`azoKz
z@KZf(CvwYK+pv{ZaT>Wmqt3)nf(@rJB155y*tGydU`beLy%D&8Z=;oy8$7u0KLOJN
zXw7?R>pG-^@RoB?P9~a?DKLbh>SjX-8t#t+aU{a-o18gekO+SM-vSectY+qWMw27M
z*3P#cCBo5WdeoWMT9@_X?M7*`3Bsut^oS^^@-GU$W;XDaO-2Y26!$HQ`;0ZeAS;Mp
zOxJYZuktEa6GUNEKFSECcik2j--rd(6}Ff{5p>82&^?Ij1hZD;3CD;7zI(0yQC7^1
zD&n3cnw>$YVzDyQ$Pe@<
zvY^~IhDC1<^wD%z|B9p6>bn`yGJT`?VP_5`xR-i}0VM$c5O?ha&xKJIvN#GnL)blp
zh2__g2;agK$Dzg11^Q~y)Gn*mt3HoNKW^cIrX>>{*-ht#C?-ZX*7lVoh*e7NZ2h{c
z3(#NG`7Zev-0{v$B8K5Y@xPe5BaGB;)Os!Y_n-%SCTo?BP8W$V96#4j<*)3?F}xIi
z9w-0p8zRU=?~EQ0eFc_qgO*#
zgc2mJpCh>)Mk$IH=kwMDF>@_Z=7Sj0{7-Gq88bfqC;Y5qaH}y}M+{23izR1Qk{$2&
z4ar(kMo;|Hno;t07JQ6&uCu|BsK{U|_kJu)R2v
z*DbUY3cEaSdcwiD8s_f2jfXK?qV#oq-8<`9N9WU{6e66XOPm-TTj5dTj-v!3o8_tH
z(U+n8BOFwZAzg^DTr(s2zq_%dV_2!2)12uy=A?7oeOeG7+qaX6aY+otOHU%ilHZ>b
ztC&X#%q#@8osme1caYudHr59cOwPJ`QNpo|2m*!S7Pgn?r3TD-^v
zVMpVHjQJj}NVjbq=v-KoXGQ!2)SPOvFsW~hc=&F@aALa>C2tyZ+oB=p5&!V4^ih3d
z4L4#4xm90Sh_Sh8&1g?--np~3pmQI5A?!1(GT^~@^THYn$)Ng;EBGVPD^wMC2iX5~Z)6#`>>kky=7`M3oW%glTP~h!k@qGKP6gbT~{t
zo!nyaoNR^jd>tLzckIiU6*sNHsh&&fp7X~5l8jFaQkyLDgFSrO9|zzhV9@bdZ;>?d
zaU$5(KjAAo54+-EW2XXc8-919JnyBhENZOE`yk+wmXS9
z@ku=Ba|k4E&|Og?bqlC)bdIBEFgF~9)dKD9dW|x{#`wv|3Dj-l!a}Xi+=Cj!fEM+*
z?{K2T?W3?!hpbErd9RNVUO+|5%$3KTAoF$k={eicY>rB)fj1iLneq$bjkYp3JXQu=
zJfbB@Oc8h_L=Zmi@<(`n!A6I&A+l`*(*4y7F=<`%MCu=ObgZq{*qb+N;8eNB#l=eh
zho^RGF*MpIC|#jD*TxXsqeDjew5s~rh_!S3RDt&&h2OoAb7*5_E(#ihG+g*&Rmfuz
zJVTj69%`MSc4Y*T$@GhS?oHWRK~MKZQfze}6d`ibpGk{5jz*0BIXjYaqyqAxPh(1+
z=p5Y6g(wiuw*4{aXhl_iC$m)@n%+ElZ-VjQ1%Kbf<-2P>V`j74GWc+;2}L}f(w&jU
zR)lNFIG-kT#_INqY~||Ni0cJu1s&$gQ|D|6KV(+Ew;^%Q738ceov{xoikEdHFiU2%
zT!siwix#Z_SH)TF>o>lvijAyYbP{I
z^;b|XQz(mE-BhTYYjuutNU&NnD)u
zEIsDSvxXQVG*`=WL9cpUVpTyi8?K=d!_2hufF{a;%}~4!sx!7u?(xswftY&-E)YGkC=Xf*L%Z*?k_1{Ilz(znenkliZrFH5#u>s0myS1CSUqjofjgIP4n5Rp)sUo2@i+d
z)0`aY=i}11)d!+BGe?4XS{3YPbTY}C`maZ0*ZNfnPq;hFw%k!P59jWaS^CoRM@2ta
zA9iXD+dc9)=ymwv7@Esq^TB551>rKZg?m>=q~-hk`lnAfrN^C8pqK4aZOn`sb2&~3
zb=zYy|CFOp<803xULZp~G|ReTuz1snSvk9TUk1@@1dmGSMm2r*o3m3Gl-Rs#4Ni0IC;I#EX_w}
zvBA>TR+i`+9sO)VI|UgETTWR1l^&?!+py-eB^+sa@kE?s*_ccOabSbg_Klx$)k}vL
z;(dFpNH1PUH2QHOeY8fN`-jB!@!FuW0%SO7+R#Y!>rr!LVIHvzS_LQP(RF_R-rO_{
zKDn0rT<{1?DPdpOnOn2XUS3`Bj7*p#yGJ&#-086ZF5G`oj%+4?!ieE$ZMKWPV1NF}
zxVg#|FYGaa>-9#+bIOMl8>5qRiOoit`|)6Ox_tBX@@i~L0vihl9szEm;ZXylmWV(<
ziL;bMgetm-`+wV0-`
z*y_F2J(3dEy}0XGt(
z&L%4M8cfQzE-H%X8@M=WTpo>z#uT0|T(hQ3A+Z2LvTo@r;2d&vTRvMly@yoby^m^P
zozz-*AxB!uhrkt7UgWkQ@M50`!AV_r5A&B*Azfe@0aP*8Ds?w%=xisO-6P#UHE(!r9DQSo5QTR3grB`#m7zy1@M6VYG-Yf&Ynd!KAV}GZ#ajLU2tO-C)D-{hM1M%@v0i
zz8G+>u&pV2j1MnQ)nl6Q@C6*X@_Gi|xKZJ#s^7m4|aK
zfYe%w@>sL#kUpn&+%2o5-+0qE6z$`I11o1xD;|#w&D^18go}PG&Z6co_7wxD+m2c-
zYs>l}YDTw@c0R7%clWyQEy=Dor%f1|;6O;6<2>}(fHhqC{D$kF6sFg*ycAXzAq0VZ
zy1G8z+MC9&tT;-zyCJvQ%94?#?ayebpzyEl
z=f7f3RuR2B)eZyHbyp1=qnsf9Dm=a1g;-f1@C|9J`I@<8~gUY
z`4I^Ws)9#el)DV&<$7z~{qr!f3|8Xs2l2b|D?2q6BeYm-Dk@?%#e6G!RzyFV>tB#7Q{kjMuhzLqIqJ*?`haeyzUD72T
zL)Q=r(xr5#G(!*FjdXX%&_j28cYJ@}TJjG|WiI!5PVBSK-cV3ZmuHEdXVVUKa5LjE
zN2jvVT<6YT^+LdBEZN|iU7+nF0~p&p_)C32x(Fq(nZ1m9iyeBjd6OL2Y)FtfA(dXRoqcw>SRnGOHpkWL)1g^ss7C_*V8~9kJ)z+Nkf;lR-f(;31B1I%lfr8
z_eQ0S@smP~Pz~yG>+>!Rn`H-A0xH9$#^cg#r>aX{^3$UU4rAN>&vM#`g6HkOI{#-h
zMNv5A!Hl$?@jI^~x|w}oEX}ZH#bI_*W89Mu-$j1&jwwulPJzOI7HF$#NywM|3Il-dZ>%y>be%N_9huhIG*b!O`ZD?GCg2>KdFi`hMoX?x-xzFA$3K9^-D!
zpGZs$tw!rgc`%JaLQDsV1~wUee!*^cAM!2Fg**8#rB6$8cL0mj{zfp#!|iZ~=fQ7O
z6pGTtZ<`(Kd9&IRpG~citnwsqHx_*g{QBDrMk*|ANQ$O%U+xM*)D3qE@z@d7uA=}M
zY0>qKyWOxK$MMmG{-1w^fOYhL*>V1Ff1j1Lm=d0jOY9T*iRsg;g}N`1L2pXSe%IYzjK`yg)I_V%!9%18qO
z?B%k1$upr{@`5Vj_|{M8T%S~Fy%f1^bGRTc-e~4i%Ls+?2_}Oz$7$yi*U2*2QVeTowK{
zFg9*G=o+HEpT{ORTR
z{h#mcW2UAik`AYZcx%RYQs0Vef4*76k^EzYh(RIL&;Ly|+r1ilOVAW`q8dpg3~d}7
zeDeMQZ$@+bL=?AeQ0u!DJU}63Ac=4|gp}4$DYDjP*_hEq`p9F~_jtT##I(REB+xxg
zcID=Zr0z1b5|G{_&S%(m^0LHzSs8F6U+tNqV5|#lg2=ydlswDeF_j$-dc)fZ9Ic_H
z@5uQKj$2*pT&*}S&}0@s3)L;P_KJY%;t2uCF8}9rlHjG0N156EMi1|^j6GN4HyiU``Y97a~aQm3yuS)A;R5Wh-6n)@+@g=wmCY
z&xIj>laE|G9F`}wqa0sDo{iFm;iL;w*@?nxsuQj{9OwC*D_motk)^){4%3ISHV>ma
zD6LtXf)l@}b0096EdGrNjnGh<8&F7}S-G0EnOE&yBF_=L%yYg%tAA`k)KT64iT_TFuI|Oi=u(G>
z-pueBU-{J)iSC?+YE8pIUPb!Vbp(0w8fX}9e?5DC_I0+p{1>#w4AXoFQH)G}`S;Rv
zz6AvSCO)ihmktw#Hc|9zEBqM5_}+9!ba7(bgjUlO#BGdUPlFw?h6%ur8|L_wcbL;-
zCPD#|dXehKJt{oJezYDlJ?z>CNJIgd)*X42o4>(X-3R6CQu5gRZSyu2$~sH!omWVL
zVSX(+r{^Qb@W8E#2Xp*}7o>e*FIVD-*-+*T4FP@)q+dbYrJxmuV
zTkKWE4>=|66;=R<74d1KZ&|l+qQyTa0Uy^C%WV4O1})EnM;)cUp1H9?IPfgyRW4Rm
zdRv8-_1($N;077I0pogsUk^lyQn}StCnVB3><9Cy2)UP1P*EHk*f0L9jO(WxHAaIP
zes|>~+-|F}c;VRm9M><=IsEn*(PJI|?~(%y06EmfH?HRd@qyeH6c@figx1+^*oR8`
zK%8qLnFG(b6jIo+h?F&y{V3eB%?d2b)DZo3>lh|U9w}Vsq{s;3Iegz{;?UYnp7Sng
zWwEAcK+b{i%mX!4!orX0@kW}iS#z=x&oC;~QmD3>
zPG*HBdSBDg{(NPu>TUJBht$!66Z*FWh9bh_F4qD5x_1<~JZB
zz?uf3O*ETONHRR;A5LH|j3~G|dB-Le!}Iha^M=l+ALr?0ulj%J^xQIc8O9yh$XOcB>lS@c$`p!{y6M~8h&}S-~?Iv%enDe#N~Z2bnXdOV@MK~9@?$PqPX2LWg;L&;yUlLUeq3<
z^sb2d^@cUC8W^Apo^2{71kQe#Xcc}t4%_!eY09C_LKvh7dEH!0NT=P8wjl0PWCgF=^%ty{3a2>h*m>f99ZP&K-jwU
z!;(K@4Z1P_Cavy(H>8k^jdjXR@fY6tCRBe2njfPxQc)ww`Drv_p)==Go74MyL8z$5
zdNcZfW}%5?@!$+7%eq9wMfTmbhZ_0gt<}Dht}`gb%!(gQr=}){E_8d{hdEUx1EW<~
zfc98$>W4mCFt7w1-o-nZX^RqB>A+TeE6fSA_v9WlmX-$*awxe)ztKxMeP`&P4c%Iip
zY_N!S{19{zx+1f}e%M*-GKJ)&MmLyg7K%c@XGw9nW>+_qo|DWi$$a`r$#8A1ocn#M
zW;rwDc49)PsI2(9-I1)~!8;TCk<|lR0hpy|0nLY(=V)0ZjI%m0BBx0CYrW;CK!gl%
z2}6m#1W
z^SaVykxc6QZtpb@MNXhBK3*8Ua46&&fQC!@(Q-G|@DWTL>P&OP5>ttHxP{HMCc0pJ
zPm^MD%=A*@H`MWBHo7{5r^eI{Wm(S%5oJy1c2vW^-}PW{$Xb_i&j(G2`OUQ!NX3FJ
zav-T62uOb){_^kge_;xWeA8Q$PP%EoHbJ>$@@VYSZpx0bLXP`4
z6)eycJi<|={qi|riQ#>DYBMqIGO{j^`14FMEXh%SVTYYI%Z+I0+(g)`Ewe=T!w>8l
zJQbDY)u66VH|1{f3m?2Q962rem693D2oIk&;0vOR4Aqi%(S4igN&3JRgw`S)d0v{H
zQIeaQ@d{MZ;?8bCe4+}R5_Ef-C`41FvnhD)(VP(5wH!&AH$Jys9o{#0%UdL=lmIpb
z@MJUFgN;^Ky;f8H8sz%QinI=ercNkaQ0OQ^HC6%S9ddHsK%Oc7cuQzIb1u-hzEJ#z
z6nWA#FLyx3TZ#HYUOx)1{c!`uN~!83BjS~j^|4&go0GX6RUeNTdI~|I#FgS;l2mnjZZ)=6
zSnt`x@;KwHS6S5lod^4Pd!hg{MryK0Q-_$9Xv2}Lx!IEcoO(D;($l2O>9eK;09gFi
zR`F@qN&wIg{LNpBc>VbQ3P3h2rjXF}q;2yh=3dx&V|2vTEL1LZeJypas5Q8r|0Fr7
z7XzD)-p-9jX;t+%-~V#~h+i-)&HF)%;LjW}@Zs>bu_^zh;r;`6ugQJh)tCj;?cze%
z259-)1#62SlcUg8r+)84msP~&WP|*uj%v?9x(FxJJ&?aPIpNo!iaptuEYo>5Br%x0
z=@MnL`|(YKnZ=z4kE#lDhB=>h?9jx4PHE$Ou9@uMC#)*Qy9bJw`MNMH1`oX9s!*()
zX^XFdJP}=vxBAfeIU}RnT(MotxkMq>v@?rUC++_2GJ@>stJORO@w}ausnQn;B6tdb
z61!`56D05;ok01QN>5Dj`z=fUW=3E865Jh~BPB
zxc*axUbGk?sq__(bU3BgT&h7n)SnVQ^U+=wzQtC$wef*jFy%3o2YXNyR8oqpr_^Sf
z#nAo6rwS(04t{L{g4>a@dO6;fQM)nQ=%(Csc*I{7z^0?Go4}*DSWK@0TA>C;OAL`Z
z=o;VVI(7!ajZE94e@E?#2m5KVH9*wp73So^D>BH=$A~3&MD}4bI|&fKiCE)%&grFo
zhV@bUJhTKNsj(-i2h@`AE`=XnQj6DJ#3X>|ju&apNAice&TZ
z#35$Nh7}lll-5-wNQYd2!bhOChbePVT@<|bd4Vo61
zaYMFAk%ZX&M8NNr?~|$+CTre-~s0xA!=hpp;-YO1BpAL
z7Es+DA=W@W2%Ia$^6@!G>#yCULClndyuhd6;&iG2C+lz^O4M>0^?!Ai5p@1~
zFIarPkO9!i_tZ%m4tXxUkQ%o$6AgA%i=B6LRa0l@7`u;H)u53uyuL|y*pOmXIhj)r
z`{@10dq*<&0lw(BOM851#dp_4$i`L8*G1>E9%qx1%AbHqej>c{
zJ;D9@^Ftf2bO8oElR4}|DJ!yt^&$^S1t9u>l_~3AM~)z6#VMF|-44HMvYaX#P}(zm
zvwkd~yGFcR=ct$iz_Lb6<=Vw5cax-zd^_F`q{qZqp0MGBT`d;xw;AIWy(z?loiV@V
z4w0#8`QmR2dR={PH#0-GYp~V)Rc4`$XMs(P_shndTo+Rq>TUKylwlKnhq51mVN_bU
z2ml12+h6x#AnH0P7uC4Ba8MBw4Kpv^_dOikSxu!?C!M^}GC?ZCPMB-XZt}zd|6=b>
zcp!Qz$MZ+&dr+}soW2a^>BAX1@YNeMz`8Er`l_5W^iHG{4NsX;Pqvpy)1T&Ntq1w_
zXg`_HmPo|qY>Qj?jaQvc%K=aPf~%UGz#b32-Pt$t9eS!_&9pCK#gD&k>JM}K0Krhc
zCBpQHF*hv*yO`4e(360I`-|hX$N9ksg-|m1bW5t-uG#p^^hDUKshOG#XL{=IPZ_Y*
z<_T>VU5s?^7=_541u|g7`qk~A^M^MR;>GD0{udd7l!}~5FL_zhNXQ0oPq)gOGrp^Y
zhktp24cnSf^%W9go#rgnDg3(xx=T~>@xY!mMSFA6UB~3UN$;fBt&|)G&3xTY2Y;XJz*e+{*iFaHk%jt9nM?Ra=80=FVpBXtUr~Ldhz_P42i??AcU5}>qg~^kUEm(
zuE0!lY0C109qQ=oX1_zwP0H7_t3H4WV;2Gd`lhT2t$()N_Pg2nnY*^R9Ga?S+a|B{PdT2!J>{BFE3XUmrD&#rQA1Q6Kp10c(NL_
z>jxYj(`^49o8-SvrhY!}dKuS6V^po(X90lL(5Mf?ZzxhZ$VED482Sw~Y~F`F
z^Z)I>Rc+ey+#%g(nqK|*K@UU!AwgPSPvEUF)~9pFmYlt#*_R%8bKIbgsnL%E93n(e
zK7cCldB?&wFHb@Dv~mukkcGbOw(r77%HfhJbaF^aJJkJXXn^XR&q9VbI`@n@^aH9-
zM@(oM_|6U=reRpNhsU2Ks53`iX#J-#C%X3g58WDZv8KBF<{cDE1mhuyF?|A{JOtTO
zb1+4L$Jn2LxL6_!aCbi)nb7RKx;Y-cd+DiDo}N`bzF#o7#hSO2y~J7O5s(cTAM5@d
zKyIDy>90_uOi2kSU^owl=IPB*oW<;w25=Ho=CYFx~{B$@C&
zT(O*QVC@J4J}{zI!3X9>Y!UBU&x7fUWj<$>6h))6QsPNamFA>8Qz=r>E?VqvyHP2Q
zNEP6ZCVzt;i*la4Q&o*JV!W4|an6fG{{U0ho}C23i?A7Ph6@)qgq>XCImyx2?l+f_
zFpsCVFYPblho)xTx75r*y426ArRD#jzdP0R3aP6bg2=ye6pMOe*k{oRKe-Kj$
zO<@K8w)DO?juFeQeYhtn;kLyaMvs+gj(;ai_rHtvOMUd!ju(rj=A7Po
zwXV-GqqJYa9MF5{yGsf8J*W)FSd|%Rys($|ohvIsHIL=Hzktl`SET^^ID90Kyx$XO
zpq0+bQn7U1ewCIgQ#av(S8miaMk%kP6fEjg7I@2f0Bul>?4Yj11*LO_uE)i&x}50F
zhWJ%-+}&zOVd33Yo;IIH*~!8+py~lPD>^!LWpORDlP7~)Gi97Ofu5sFC|!Hsaj)&|
zDn5bcJOi7sB+QMzV4ACjRXe1emD>O)nI}^1>t)VyW%{0
zRk}c;$^+V{!5waHpP1o#fjs0U{YNjmiV%&67$qFc=&0;qE~{F$+~h0cl1vqq_59QeWSMn4U%F>#5}Zx+-lMasE?7PW^kk9CDaX0(8CcbNH
zfRx3Vai=@OK6W=gL_C&*yuu`Q>ze@3!Ol
z_%g5hszc+vk#RIvKx~NbSRQ927q|07RD-dmghl1No46OXQRc^2}P?zFf8#niuG$rk4F7
z`E*8yM{_T{CiSxWyQK8TJWXHqN+iI-*he6P&gYQ7=J=2IS~leNQ-q2GA(C3o4zxzn
z3{XY2M?F5~I%!JR@8Jr?JvtlXaJPI4pqpXRDnpZr`oD2jFBS^eFmgCJcwIW!8
zASe4pxSrIQ7h{6kB{ZIU`1P3cnVZNluI)PT@0U8|&^K142+qKF)y2FnaT6+v%eVfS
z$i=BR9e-BPu_j<6_}dDaD|O1)R1|Cx)0Qx$X)N&H_pI-?S{@nNOQtxy(te9RqMHt+
z`Kb$VgW9aQV;68I-Q0E)6L9!9?l%D@7v>hT^ta0?KmuFnYpwNL?+1zw0ZqjHP9aYA
zLF|v$?#pOv11sWx3K!j>#aZulaB;_nHRA)<5`S2hAcLptGJ2>-u$s8-rc}~t?tc#}
zHgF`b?DV+>pkZ}BoV6IN{Y)vzMYC$_f1IX=RtW(
zPPW)lN*hEsl?*CH_)+L?L9HB5f??KCv5!(+D|uPZ$+a)v=fPN}vVSHll-t0Fu`m?y?#
z@l(GZdLibR{DOI3x;fsZ9^%4WzDs3OZAWNJg4%&s)&0KpEa6RV4=*Syk)kSLE6sAZ
zUiNt68fPc==SN4{k44)+t;pRsZ#emjU1AT9g9P$*zl*492cVP%qypp#VD6Kdv$HVH
zA8W$gcrr%Sd_Pg4l#+<(@rM3^A3>oWbRx?%buW%O@2
zy|m!{h4wuM66&XLhw2EZOnIN6D&iSE!lkNg7Nu{iQ;D+PKL6T4BEG*}QcQq2qP}9k
z*h1bI$K0+jY34(cQ;fL6e{|B$FI3kQ=COTn!D-~{u>ubENHV5~{hyGjE!#Vko+-<3
zi0f(j-+Ywtn~ItP>4J#2*3_H_DvevI-Z|O{S>NL6=KZx-MY9j3RyIYKL95Ru`<(_0
zidxRzS8j6f#X5%>LBQ3FQUV}D7KYpX{QXCsY!{es(~GWzpJ|Hn@T=C*&ZU_jn||3d
z7X(?)u|8>+v-{iMu!a_nMyIZKPl
z4Wc8!j!PmbU6A?T2x6?kNdpx>LC6PrNjTu&FcF;!Y0z9j6!;mjAYB;@FL-cedxtb8
zy4}1UX6g21<*2*6X!@gnugUlky7PmGxjV=Y!P}bOI&dQIr`WLo1`+r<1?8bI@7mxV
zO7B2Q;R~we`x_63h-u7QUIH+c?o@cffqTM1os*VGw`Hlpxtz-J7;C0GxCr=vnoA;=
zQ73hu{ORwp)!5nJt}_6b$EAYRzrrk(GJNIpR+GA(FWjTfQvXwLQSL>wgRcm=gx>n<
zGwBcYbain$IhViTj;k9T%@%^#cdWn%!_vKfphP}CZ-Cb1X0!Fi?~vAo!wXv5Qr|78T-B8+S7IVcy}kQ+42i%qfYe
zvB^)#`eRjtKxOl@eU}lv2X?f=!U{t#7Sd%A31ct1g6NK~u4c5+d6Km@l(>Yg#v-+G
zaa(};7Nq~LE+8}-2;V5%Tt}|wA4Kp0=H}Va(W7n<0_GFW)%+xAIa7MqZ#C;;Uv!+B?@5hBzV5R>wT-N78_76?i;f1d$>*ezZ
zdm5V`WrMECkWk4()?R++=Ea1Q+ByplPh-QA;S|lmm}6U!C%Q&}08*-U$U>FNm7jHx0;?yw@gc5EnouE@DTcBzqtVrEj<
zg>wyJwN?4ALua`&uK$fb!v9NkELDUWKwTU7b*|xaJ&1;iLq!TK^R6Ad#hI1nnUXub
z)UB%cb2ugO>7o~Dy=Va-&p;#s?6wRfQVy3uy5x@m#CMD%J759iSQLy4u#HoRzPJVP
zgscV2+QZ<(q0G;r{aO;95xD
zM(<%2WeBexZxo!i@-i8x*E|B{Q*
zh_y?s&?eMV`RfmWM|?BETahKUP!dy*6Vq573vs>gJa)4_d;|v;EH@<+i(I$AAGZE>
z#iAJmkMcjmi~TO?$42E{l?Pxw@rwtS3Wyj~E*_iD&`I;u9`45xsOke4n?2mYv#l4@
z!v;&T-j^A;FfDr;5Kz?be2sa-bfGNjrx*QQZ~X?WLHauUvcBPlJiDUU->11OU4_m{
z39mQhb%&RJlAK-sWd;n)c1l2Za>3X$go-EX?=FkO>b4Z%>Ihi(E!a1KY!0_#TPRJ%
zj9%q*$;mGg3!Q)a;>zq_zG*x?S#P!uTtt9=xDwg2uo_gu>CC5BQ*(ZFBNF-R7v2{S
z(+vp`guMit-hV3@8A2^^YRVLTjd?q;1sC?9%sPh(i>EO!gKBKHh)12mfw+Hki-%tr
zXgPvv#Pw4k4_B3utz{1@Us6AGAwMtwXOjK{g^D*75=BAZC(qkGB3wG1xMN_%CiCjm
zcHcV%mYnkDXyBFtOy&Ii7;YyV+zo%*SI+v8n-k@$jVGvu7y=h+AKtz5rJ3%`p8oQw
zG?90su8`sGdRl;<)yAb!#G?#H0%iH;aE$75PadeBd$82`yEsDvCVBE+hb|CJOoQFs@CL@|k?AP~jDJT#EJex^!OJI#
zA&5?lJnh$A1Enx^TWTz(u+`7WTAKGA2F$n8(YipjR=v$t=#2<
zl~}J$%(FtMN#tID4N~%=^#(Uyj(<2n-_^vhI}^oc9$f5T@74r8?7i>uvRwCYv($7o
z+maZbG)Hr}-9E4~=nJ8)=^0XBfEW=Nd7^_Qlt>Wnr?DM(af(yhm4#9FTR7ZFN1F
z$W3-U{S8cV-;DdGg<#BZ+`La1r04!`&Z-ehQESXz{Y`-Y3~%cMgU1ZGQj_qF9d+-A
zk1SkfmIK^Xmq&XFC%lSdPQN+8*KYNt@p}h3lyTRZkdoxUg0r}QvibcE_GhAzeE?-S
zhlM5<*c>C9^*OfcjEe0u)6;c3cLZx=OI*LSjWihwGX+R@QU#ddl2kOzVT~#LCysly
zruIgU;wiz*TEb_OV~9IF`S~Bo=9!7Z*Eb$KjBa90LctfL&HO(YT;#byTLv8scs1l3
zpF7aVZ0^vLcay#}y$b&*_1BN5R!F_&5pQso#xG5~3k<#jZP-{h!1Ao??xpVN_D$t|
z9D3~+Y|E98#sWAlGhtDyxiv*)*2MhT<-C
zmufrg1b1I><7x}jJ85^B$*5C*r0Q_BnKZ|9@_@|8_CH(iD!PPdaRk#aMvszul+poX
zZXgWC>lDl9Q87%lEb}2~{8y9uA{|ZGL+#`JqTaUT>5cLI3h7q~C=IfSY&=5+SUv#m#p8k{aal>Kv0bcT`o{udl93
ztf($-?oceNk@jU_>7QE-`~AE}2XJviZelC_A!uPy$;QP+_)L}w22roBaz5U%5!t95
zg!@YRS!w{lwk;?_$^*5Oiu>8{8E3u17Jruz#~54Z-m)O6LwP#JG$akm9rxV!;dw2t!eSz=&qb>ZG$Gk)Rm8j#a`5l36G
z(;=9*3S@+YT~qO@W=u))^vAzCwk;qMxtF?~ooFYeE&K2TxZr6#_1YfHzO5MUJU;)15hNzb`NYT
zaucWndbOIVBvM-2{ye6{#U9bOu~6ql8bA4?8ybn%{B!{PJtVDAns4xyK!IFU-x=)i
zVUoL{6LO%7*V3HYDG-;zwJY6d#&_*=-C7X7G#q-BOo(aOm>G0+F`a)uNV&tG_VT-i
z>9f`4o0FhO;5BI!l5%9vxK-pTVBk-ElXzJhDdD*Gl~*7Fu&MGz79=l{VU^G>3KjE9otaIW3*O64Z?o^o%IW>CT5y27(@px1rA)*r
zp_K5N{BPLy$ZOJ$eEY}Gg-QZdQfg*GmmjokZ>bi|qAH(>fVS>#ipB4+Iyz4CD?2P5RO?Tpp&LRHXekTsOvQ1@ERY)u+hTr?Pd)yQ-I+O4S8I}FLr
zDF_`%WOH*Tbvq(GMQ|~lTs46LA6OD_=6?w+lNruB)B6eYxQHPEosZ5sFj0ab_^Ite
z{~oROt%OIO@~k@!bT}l}ytInyoUqvdqb9ydtm_tB=8_z&&*SsCPaPNs{x@`LAPdzN
z7(Sk3WKY=R7M9v8aHua#M%PdHA(=-$wh;LD6>|~b<%tXkT?*DS#G(<
z&5D_5zCfZ#^EkY@!vxHJT(tZJwA4$a9i@++Jp;2@=`Fk;1h!az5+#4D!KdoX2dod1
zl1PLfu8h;XZ!D%D+EOwy7=THP8yFm&mNo>4KM&uW?*ZnWZFCL{6Q{6~BTnb->b$7O;mFQ0@L9dGq_|
z5zPV?n|r#h*L9qG6?BL_)LM+Au}WSp>#tD_7gMH5Esyy1JdOU)te=N+dlud&{WH6T
zXp_T2`U%qJS9NMtPky8=JRa>E(my$#@`>P!YCy`heF5y6t&~Bq0+wRC125G^7G}7%
z9rFf5R!8Bi#xm-7AKUbbbvT0Qe5x^0^-2;E;oShy-*o1K*TZ>g0WIcRp|t2|ad~;H
zN5HM==;UP0pHOcl4SYx(SB{Xq?r-I3BKe|izk?k9`zgsgrSfc@kIT}uOLbuxVV{5r
zN%F-QKkX7U?0F4y_W{8+@B<{}fXfC+$Ftivzz5=yP6PjBLCIdu2b+6z=saIRf!06*
zx6k*>RBWu;^q+qW(r(B3fi}*de5N;nz+WA_Gc5@8Gl*Pf?-&{D2mY(c*~(vcucYR-
z*CI80WXrNe!AKI`&J~K|wo>GX7Mn4c@>*^SbM`6VUi-5a55ckyqX)da7QpbPnAq6k
zMYy+XRo*+6=uGMl<}tbd&joN5_-jdj*F$G6gh{>Jf)V**Vu(EC``L4yQ@{lnssJ4L
zj=Y|4n`n`qqADsNoN7S05JE|K)S<7Z@MWR3HXnG8CcEivXZ+lB*fJzu5r*_{OSqB1vst1PbfGeA6Pa`sij2gHQkR(Tq(?jLQ|
zx7%d)T`rTG&!LWvO7KwOL03;L&MRz$zDSVlTg3c0`!F}zb`AL2y{t`7r`(%@7+;@k
z{>jTz(bL0ftsEBa2dt91I*-iw~}*?{rg`X}%7@P4vmvdiP<;#(0hE@%F(i8PktTj5VFC&GeT
zy0Vv2AcG=-8tDYu_e7ChMFGM)AM=?&t7gl$KO-(EkfvI^eNCow>>fK{I0IIo^pHs-
zv)ep>C+DQT1cE`xrD^8mh29GuFS`(*`}6PF_iaL(#kKZ0m%_YzS?i=>_X{#uOd<&N
zy&yvbOw^gMy1w2a%L;IDruAO50%1kUT~Z^m`_Q(z(w)ObsEH?dzP~^C@)8DjZ3Z{9J6=xT@Pu8(Iub82pyxQ`aQh_Xh)Q(#3-
zcmI**HUGhkvipMtL$_62mYW-v*O=eY1L-WH7Eb2bsC1A^${s3f%h((m9$w+N{AS3l
zeSE>Ek<WB*o|
zwrAfR9sSZ)0d9#=e)p7a!z-hOWMQxRb!S=GepIcHwyWCO83gC97#i!9r+~eESDi)y
zuyV=@vRkZse3Xml)#^PcSsRVTBn>4IAtR(v44_JDi_mA}6wL3;6uaAh>ber>5(ETZ
zTd15xy{wc?YXJ(XQ=>Yjq#!{_C%peLv}bIORoj7Zr8UiAK`7e698@R!1vJ7>(tojMyRyMbiGt6vLZVR
zIeAgOERW7LFR${w?U{Pt&6l7z4_l})P0$Ydw38Lfvu3?)PDVsDfdIrE{YNJb3HK&0
zd#IK_fS1>KU)Jcvt#12@E^l8PI2|v?tV1C$_#(iR_-1(+#nKHROjo
zmn7i43bCDQjWMW=N|<>QGCT#y0Cnjq+E^~QvbcuSTFo!mn%v*chLPcSrua+iOR9Y!%t~_n2+dAV
zZjHhC8?LL2*o`?tu(X2=O@I(kQVIu5Z@kHGy9o9F6c>j9#<}B5OY&l3$m4kmupt5X
zx6v$#t1HZf!jvCzWH@3<#@SMyPM^^mWM%o3bO&e3KA47+1wTY-b*1Cul{Mw}LVfc~
znoT=i2T<%%7pwkPBWi3AQQ($T|`Y8O!IUT!z
z3fp@KbdX=y_!_3^JT>(4GT30wS93srf7W_m25%YZi-;TX?QiCpVG8kN&esPqUGHgI
zyl*K=y2s|n+%{*0YypRM9}N_!EIFTE+vA-r9ie^|pWUA@i)iColXKpsI~B8+diY<<
zIIlxCiDg1qMiylS#?5+M!4HJV!ye)A8PBQM6*cWh(Y?{3I?bXsEq|QajCr651`IWS
zBZjOU0khUy>5tdxPt3%t06VWL{hr4T%7>Ne)c>-1Y10Ksb93|Eaiq`2!!2B@4lCJ-
zSwY4KY|rKr*nxjKy*KN5NVYjRrh&O|TQH**OWxJBke0-+
zIDVOdeP+_$vfT62rv)^!1;p01xw*>ql=JhwnMw!7g@4Li(^5
zi(|JQ)
zAR`)^y8vFk3mQ%OVfN}LD*KvY+HX2*1`5Ddxh?OHc
z+gt%pQWl|k?>{)&B6GlKoxmxRmUKKVQ+v%Sd}<5zOtDpAy|z8(*5tS3yqZ9#;!i=yX~`_Jm1|g6a&x`sla#+wX&%nO8=Vm
z&KyJ=MnsV2c_J-*cO;Gk6tg`D^AgteXHTCVWdqjbv5Xo~F)^PM6<=vV2ms$18yjZr
zYU|ZNkvpnb{i*!>d$`YV6pifHx|6?*?k)#&UAOQSxU>H5t1rK3pQ0W^WRqs@9fm1N
zd&rCP?P%NxyL(PeT`szA*^#P3+V4IVw}Bzh*vXUG_8yDBtSBqJ3i>qHKXL}V&h;C)
zU2y?8*M>j`$EV2dt9eo>UXP54
z^BTA2jI^y>Ebof}$o{N7R<=@4W0&;LfODo}5>mneA^qg`9(c+hXqT^gwxP?E`PR2^
z7mAD*$Tmnb0=QR0p?htw7PGB@Q}K!i2hqC(G}5JeM(N-0Y9JNsH6>~2dqJ1~QWtAh
z25?zTxpg}8lPf7HE%-d%Bff?3E;Q_ThJ-M@w{1FC=OmG988FNzA;)PqWF4H25);$W
zXH}5ND$ePG^vyL96Z>iTTx#_{EW7IVErt#?mj_pYO5b|k#A+}D`0zF*&mgIsY_z{z
zdP;6?p}$@F`!maT>N%BEj0|BIK~klo*h`-RzYEw(ukV<-HgwU3N4{laxe9?**J#eR
z6!jh$vWV)+G15iGRbKoU5Efe2@xJ{^;Fb6%G8~)g{ngkqIUZgMeZJhhfH=c@Z(Py3
z@<(mNj^5HjZDfT%5p`i<(vL#{4fIycxK+Rq8J1|4_GG1`;c)GsW?8a`{OYg|&=>vr
z^QS@iSESy-L6d<5wnd;Vh!)q>Oq})t9Lh>a+5x`}-j?e@(2Z;ReMWOrD%^JIOCY4O
zIZZEnl_!)C_W%xeu{M@MQ-eUL{eNaOVX2p^!v|M4N|$o2*FU~BHTiIeW)-X}O#a=6
zdPz!FDYl1?IC8n`Oy9>UBM(@C;K9R>UE6XvAsIFtBOxY@63b^pcWih`sW0TbMG`Sd
zk=2}yh3Ze#@|C^A%wSBf1)Bm~xZ;UITAh+p(wsVRWl)H*N6$Ci`p2T2sew5ah`*&U
zXpQFeP<@NQ-Wk}UnBX;e@8yGy@H_A?rskMIrATp`kEP)scPtlwH@$`mVXKmcC@^eG
zp6!xMHxw5$RfCqXMBUx_Mn@~^H8F|FL$Z3Y^{AfxLIC}k(pZ6hAkTHu#)~;Cq+;EM
zxSAyos}c3Vo12>xz+>^~FJmdv(8fV5PNQ*8gvtI)x!$F-lUorZPu0(xt0O0Mg1r|Q
zy#FOEb!r-SU~J+WCg~eC-QyTK6-6SfedI-^Zf4YAw5P;SO|d!E)I#Se$^S%}O%J#6
zhqNwF4kA^FRL8^D2mHmRU0lQ|WQ}0I@QAQm(N%aujpE0xZNy4PjmK^U@CkzTR|du$$^bh0_6tJ|NqPt$K{B#G`jy%_1y7_QQ^-=BA1+N+(!m%BR%e<%2`
z?k|)SC~lKCTTfn;O@h>A*{YBpEWNjR$zby;+6dIaS-#qLqWdU`XlWp6#m3{Yg0j|Z&5bY`vIlh><`Dq=%lK(
z&~Ekcs|~3!4Fc>5JOJtqn6S2?fw%KTUj3d^DR~N)c;dmjI2FJP=ot1s7`fOow|*Oo
zhBEnA*(=@aEqRU8)s<`H~URbk!TOC{iKV7(={6exj&l|0K;QSceVZzCi_#D0Q
z#J9<1URuL}P_#=d^c?A#oFIwj5gqUxXMN|oqRQxO`%X?yWllTF8V;A4ffNWAI?6ME
zP~`1xmbaaek?}DlxHc|n$b+?L)Tx^6d+oegQUkrYk6Mn2%KjOQpxtyX^lh?Q-g6JAC;W{tfwoFfF?*^9J1P7;!dr~+Lt
z?0Qpy`}F!|p@@>mY_@2Mz$~#K%W;WPnGoOQ{)nG*AQB|VU(|oEl}gamY(`TxaDmLK
zghq}vywQZHT|FcbWa5CZ>T2$-;q>85@jxWEvr#F8QQj>ib8hlO@?hg}H)+X1i41Gd
zD(i8{bqW}qZ00$5H&hDmdwZN#{39g}c&SHOo*hlyelLGqZ9lW!G}AmrP4jR-Ij~Vj
zsQk_CN3aQlX4zZ>LU{9&lCBv=wQCJ5JOv7pd$d=F~7i)iblv+
z={Qq0mIq9h%xA1xV=N(w_A5cq*U@ZG@M2K!S5O};YRl|`cAFP13F!mv_p$2?J*Bh!
z!Y*S>REsoV>rL!za)mV*$R8O61;GOYUw{`AOqWK)-lv;9*zI+>7&yDHLym`o0o{;k8?{qv^s2N%naK8*rt9g64(lH>_3pNod%%+TU0HU%T?l*J;
zCxa9zPvx0bVJF?kj}eS@;L%aP9K5Z`3-^J_ICc
z?GSc1J_(2&iy3?ei+K*rpm!@o)UCN)3i6_g_=uZ{{s;>mUAQ%X!E)yukf4X~d}cJI
zb|!HRVD{s>f7HD%FkF2|Vadu)0g>+o1!!Xn@^9bt7M7{`sX0HP?H4(b6L1JQ>p2C>4Jp8oZuh
z2F`d$t=wmf1DCLXXc+H(I~wO^Y?K{LFpA=9$kK8m*-K3Jasy3_bRUoIgOvG0lE5tn
zVObK^DsXrWR4c(ppB;eUFFn2h?yO;a&zD?XQs8g((3y}#KZd5;k~G)%!_U;kwhfRTFv{Ym0+3N!r0$P3SFu4y`B=!#lyp;|FQ(
zv_dCab5Q}|l-dQ4FjG>b)!z?`Q)Q3^@06FJJ}V5XD&+@6*QGWaQ(nUj6wkajGcCR(
z;q(tdP>JOD37F)l=%FA+U)Ch30jH18eUOwO=K%J1pq_KF<pGG^G}@K3-*(ba
z>QdOd9$6&DK0~M9F4Mx78Jc8gV0-HKaVY`;s^7>U+C$PQ1ROh%$T17GB19M_b_V0(
z;o*%;O#FC&OuDQ|a^;Mtq&DkMhd(
z*80Nd(Y;Jy;if)Pi?3*Y!*=n)FXe7Zg|~R9Q*<=c$L#EK>i1E8F&3a~l}X!DSjSO!
zOVgl^vi>%R0c5ya%nJzph!-93vw56M`<&(v>w&j1@wFpyDtU2%0Vz>BamUpF<8=E$
zfq%a;pGQUv5GrhsTUxw-jwtHuf$c@MTwtUMw=QXPR2EMkk00YMy(Y`pu&N#mTuVud
zufEmV6ft<-9MVtu{1Ug4Me}}m7Pk~PR0zerS;&`1V4S}ZTpzaWG>_eaqLMmr9o!Qp
z0Q_0rxgY|3(f|Y-ut`N6?|Tm~wkqcdEixn6r4dj-
zIz*&Fx=Tr=kq+q|x?u?E9FT5??rx-8x*LWL>Fzk2-~XKFITw24jeGX~*7vTp-uT%T
z34H50o}l;e+1Zux@diSk3+GEq+Kl2o1nV0oVHl=MShMzL|LT97?oR)dF_#tL
zJ{>WaZI;D!-r_$?9Q;`vL%eL6$pSvbr}_;U$gFFw+}a_&>ZMtD5wn~tMD2)YTk6EQ
z&!Do}d)940nkb2nJz~62Ur-7FKYN72ybF{a=qE7U$j0a<{50kQpz)coR-<&0_rq>}
zReQ*ji2j9mRp#g}r;#)cTomp7u%bBY3#hq3X7k9j7vvmhxZXuY9`f*urgX!DyRf!9Laq9;x4-hLNf`ahO6|7>m|f
zvsN_$5^mvO7PQ{
z&+dxUJ>*AM!F`PB>+jeX4=j1LI$EDtlU;HtoEQFzeUyVP>stnJ!pnhp~|LtSmw$Qw&lHV@#Dd~=u
zUmv?z&DPeR_hn0-PVXnZC*}`k-%rb{Hn!Aw#F=HNf|yFpUC%j?_02CZr9M604|yCl
zC9?GzjEvYV+DOSu3J*N?a@@_l5#9(j
zem)}YHL>_E>;e$)b!(~F
zV;3-((td;|Yg^Wqf5gD$Sr>^Jv6k^;qPfTAe<`L80_(Pw3g#LgrgT3K~Ux@shOIM0d0L=U6fbGt4G@aN)I}h@B
z!alYGo>0V5{srFo@2a|mU90i$FDx|o1{GadjH*ce4AEHkFjf_|z-5(x#s+Bs1}k@7
znw6<1hhP@*Af>ArcS~6&vE|Cdx$-5c$I4d=^m_sk_0H`9nsH;_cG6t?U{*J!(Seo#
z-9e%Ab+|wsPe31DzN6caA+*!w*$Q4f;1ckNlu(xWQ2wY7
z7!ITryVq)BaF@%N&JQ@gL9&YMZ6PAW$<}Ce7Dy2q=~=Sw0UU!iXB+`+)nV;oYi7gB
zUyrB9u?I}e0_Wv8ZeIW-!a%#HBrW03=>d8%?;AMSL3-?ns}7vxxb_S0?(&*
zmfY#bI_nrO&4O?j{gk%&a}l!^k@F8B#?vpqC)Zo?af{$q5bC%KlU*1xgb>h#B5Q&8
z6UsPe%szZ*I3H2P!FHZ@0KT*i1>KciQ|Ol6>KD|?%CC&NLV$E
zZINvx5-p`Dc&d&{i@|kM1-=zz`z^mRnpd0KWd&V6`taeem_o38dG7&(xDWqP
zT5wV44m35hWw{eZ8UTb)*d1A>X+dD3;IPJ>4mw6%PUkP%FVOjolRDm3o3RyQm40|0g=Tu)mUfpVcBBdme;se)
zr@M6|Ut^yjJRjCN2|+{5=<<41oPAEMWS4j{J|dp2opM)y_eJ*yd1JuAO6vw5d0fd?
z@9!&IP%4J<{!5?-(yW>%dAP_=DJ*qrh5w;4-MQ9fEO5K|idr_bwGO{NKAX#Cf9Z%P
z%!2MKst(4$^a}QtD)*0-nYDN2Hv1py|Ad^5rxjZ{FeEoeL@B|#<@1eC?$$i^H2M1`
zK%5@nc`-RNbUFreqXk*JrDhApJF>DG6_q#)^0e)9`B4S6Nna@RS|Wp&hF-(#zMV=j
z@_>15!`m_5r>GpXQ7e2PS$wKp)U?(`5)VrbRAqRN1mG(aoBt>cSz4LYINq&?T(H66
zt#8Iu8=ajEG?cI7B+iJ1Gp98XzhqFvt3S_+ejeYiSSS#54Q!uMH)*?gP5tOfYMg@k
z&TdlOmmM4K+x?8xMC(>Mhf@KQH9(Gk0KC
zq`o$sHO69~2y*5g7`rxCr!z-DrWHaQvwB-sF;yt8fsvFi*gAM$f8E`;1ACmWAtqe}NEWMQxGWt;`jv
z0$iBjo!OeUH-MKVc{Lge0t(W)JLP|ukDAehMI$q%-#r_fcI8qaY2sm;lT`|1ZfxCw
zvEwSXjp&=u2Q_ZnO&agK(q_z3MR}mlXFqQ|j=mcUWk?4p4L0|dMofT`SEqMtK9y>T
zOz>T|Nlu%HkMI5d=nv>k3;HL98nH)-HsHj?FAI8_6wrl&;?ZIYzS9=ge^JnWmTiaa
za+WL*|BHkc`A`eihm-c-(@696A;srMe)^l^!tZ<;s}2*^l#q>?e=i++;=*Z#e#&~*
z9&1FFXn%>(XF;^!=Hx);EWATv>5g&O$|nL^Q2hKo2MH-Dv8liYb+ff<{y=Ag2;wWM
z!d#jsrtU8sH9ot2Nci7x@IQiW%Zy2}o%E5;lo4I;o|$O*DXG6kBZ#TYHl>?-!-{)DmuA!!-|GuD
ztzI?NvX}lbsYAS++b^@KT}QDvH0O}^63_1H$V?U~!6a7dl*F;#+dz{OB}tSA`@a``
zriyCg=Z54|z(piLP3IH2di&JJ=$+=K?Q5jM_Zt+1Umtsb@lvW8cfz>&}x)fViIc&wzjX^a-lfrnND$3)X?F2XkgBcj<%=Hv5(o$_s=*F
zjFjwLmzwNY$mwahaWSk@vkU*Zb~1RcL{yZELXr?0%o6_Urs{t$Ss`%XB
zzc~!Xw*Rw@|DQMYILPbnTlm5UzR%z-&i1!qIvcY+8eI@1@ZFr7rrSwF$@^1&6AjpS@7dDLp@!SG03+Y21HW@mAcr4
zS9+hHZa;_TJvE6B%0#Xj=|Cix#`I}+#I`c1U4eTT%L`2H0uv57M|8@`5eLFvJ+zF0
z0svo*`d@^c=|tcQ!6FRE$Sk|EM6^zQ)|Od#J6i`8idJt+nzgWKi9f3~rq$8ek$IH3
zzI0JJm{T!5Cx)y?DyD=$y{KCMh`*Sb2J2MtHqWYy7oT00%Nzfj!1eIBpkvfx(1$xjGUUm`vBGMJo>
zZ_1^jlEy6+74>*;kwHL4uc>*XC5L%GFnBtGZ(2~J9yw+`*pca+G3mcr4)s+`Vfj4?
zZ0z@YciUYtmC1X(G&G>G8ROQAQWMxydog3$YoUdw=Vlej?bdd}c)@3=ttJkwnnYBu
zc#a8Yd01SOPnRaQO0@aYuee6zhQB17rn972;cm`G|0W29w!#1U;7$2_I_BtgRm@yL
zR71e%9Db{^o%p6`kvohPy#ooaV?mFVI#G&97XK5+W
zz-2UjI^73DRKH#Z#Uk5Kn=fPUVWv@haQl?UGCHk?U%Pl_UQ6a=wMc@Yy*nq;Fe+#k
zyPtdTf<{QPXa1HH5R#M#`Od@Ozl7`J;z$}bkei`NRIj!vfb26G-%wew-2|{_ZxSpH
zRxe|c;uA>*+wDHd%+O{6)b%XwJEV}%*YCycs0+BgJd$tx-=4|2#LFqbK~%fK8&O+Y
z^NKp}pLsg&BIOLN>kU}U`Zc3FJ$2K3Rf}2l4co$19^R3G5&TZ;TUQ!XN-7)<5h@3aEc5
z*kqkPHrPjtGiTf!73#JXC~#P(&8!&btVQN^*Z(LC$kiL*a}XdVj(V@+tW<9HA5qv`
zz2OcO)_l35evcDsGs-kEI)9`Le>x}^3Y*q9v~a~{r~ILy!qZ%yI1JtXp|v~^&U?z(
z!sPiamPCOiV_Zz%AvXJKhYwo8luGetT2=Nd(nGHL&CkF3)kYVP*-+8AF8ACa7>CX0
zvm2I+?lbSJ)ekHmI1;96Y)ytjk@dEh5P&eOjO?z!LUPc=H7hO4K3;ow7Z#9zeb`kn
zJ+Wrn5ZwkLC2fw25%q_XJ4irYWfW9KrBP8K5J8N3`f&7YTZxKPcMKOVYCtlQr}`wh
zedDE`NIf=YPThbYU$Z3C>X#`%C7Q)A&C<`&t(o;KLIcL?#$A%UKsp~AJ%#_`aeDhy
z%K8{B+9YLk5?R!N^T?4^K=Vag)6Yd{Yr^pO>)eM?hx(tB$csHrRvz}vB-wIZRxt*_
zC>QDBoEE*=MXCoDoN&hCm`_)s0cASTe?ZGd@v!Kb{cVf)xsZoGEaB{B0|%-e=2}B(
zABGO}4B9tx_Oq&i3w6jhRmwrP2%+Zm1QIUbmy`{lhfFR(WeqPV8c5~@Eg4`5Uc7B`
zKKw{S6Lbv&M*_R1*;em|4RS`!n&60t2%q#K0*SnyZoM&!rll4A`i;Xf$MZ%9xQDGN
zIo7BQr>kd+rztYuGC6r9H;tZ7
zM7&ZJYziB7Xyyhh;p%!gI-E>1ZMDzvc%6#zBR2lzNPSIYvFM(*ggAF&_nFj$;izV*)y-EJi$34*!){rmT_
zh%MEsuX5T~_3-qBpKElWIo}@cvgE>=sp)yUlRsN+y~J~|{K>7wynfz{CFPbwc!kLt
zuuADO-x&t%tn<(F284z$HP6QL8#$Gg#x}~Kp>pgM!yX4ke!h9lQCV3`QBQNV2LpSIqM+qi
z{Rg4+?6|nOmZhcbshJ6j+N|%XYnR$or+LN6$F&(5G;
zrFC2|rib6m^v(`|eWH9A_o>_b6?_^XntGEnqk3#Zn8v5-)3tVcn??JZ*D!Y0fh`~0
zYgKA;rt=glI|wy;zJ}(X%6yO9nK3BM@6qfV&qC7V6BxXVovK$7
zjBbJ=UA?IHFf_NB#cW^e3QFPx#eZ@WPXO2_
zc+{UN+=mFt?=OjVBm-X!1&8RX4tPZ-Gt>u+xM$CQ;zLe5&;l{_&JE0MDl}Uj3yJr>T&Ve30q*)bP-+7V&68gX*UXAQ|AayV9eLAO0
zz0J^0o?8M9GKH5TZ5wz?4iNn1)cpw{biny0b7i@t(R%yVDd>F305b)m)OO2{zH&SI
zc_((IApsB60&42A^FhYDKRd4%U5d~Wq{1WjJRTq()?rE3IG5b8{YRhweb$fep+xjjA@ZTX+%DB>QG@yAaa_9{#-NLhaQ1$sX=
z6g4s{SdSO0WS@!nD;`gfI-AsQ{A)#jw;GKR3-{-v=y&g96YXeOH<0eM8uOHug&5|C
z0wN^fKC2VanbR5S4+*TlE_;CMO?fNI!Zf4Ge40_5Tnv1CDoEK8r%Dn(ZoilH2^E*_
z_ZkVcy5p@(ct%$kEGizKmclmRtm-6^OVVrg{T>!?)|d#Jy(>_GyQrwYa*2yBZ*kuR
z&|K{SyKUCWuO(nt_qK2+D$JmP{_L%qdW|FjraFAcT8-W}QP!NFlm96Zx!L}!LI_Am
zf0A=G81ce;(@V!#2;NvO|A_-`nyaJbL4Y!x#A=9ie|?vM&dwGU
zjadV+lt|vwL2lOl%lm2?pa5WAS*V1Of1kQaO3W4*J;PR?s0cE0%-BKW0^o|ykXCHB
z2{S6pE$mJ;r$yaeMO|%!wS<;ZG_Tk;qt$J5a#oOYik!&u^zx_4H{}c^FQ_CJ`JGw&_eK?YH!T
zhMhdg*n63isVV`p9C5>mWCEPjp;9~PanPn)$=mh2_Xz|8Y1i_dn;Rv?#Xw-8Mq>8?
zVs^R3QX-WSAuH81Q{MPLf@{CppXnRf=%41^ZoR`|6I(Cd*RsEsF+?2QvD_B(WK}tY
zc<4BXn#x;smhrWx1}&U?w&>z7z&QRj&pz%+MS4XorR5Scd4ji-%sp<&bUZ20bbiep
z(E!l+fxY_E@s^)D)6eoMAcmKsyFH3u0=P3TE*t?oip7(X*K=u~n=@`^bboaSY`}uL
zg0N!J(uOboO;&0O5(lA-r`={}yFGp*Q(-zJkaZ51;MasmnS(hc=^6UN&zgB#Vc}=w
z{ZR`WWT!mObHzm5Gt7bNZAZHIrTp&kcZQ~fZs!~x*@F9WfX>>s+J4v-*f`1Q$i24<
z$pqRd?b{p%1r9WZy61?_`a1ik7G@N=Fv>%yDt6++>+J9Lj}o5hX~pn5oITc=L{{_BC8_E`(Yd^}7$l
z$?SCt^+Rql(QqnoWxdkYv}?<4^ox-k>`z^LEPWr=GxC(S!`o0Fyc_kEv6(mS@9rXZQ{I*cy4KMRUEE??h%rQNaPD}yzeZQkez*)61-$Mt
znqZ}HFlvh^JZF!(8$agYq+U{-}i0X5vnFnnX&oxouv*0?)mLSZUZ)
z!98)+YL{mp*gY4`q%PZ_>i8)Jjpt-{S@sF`p!;-Cm+t^DlG(c|#Fu>}TCNW(uJSfU
z`{~g;K3agfS$CT%upDaz3_WPG{*;z^xjl=>=c?Z)_c9|7r24Ng$Ru<0UtR+I^TP6S
z8jhOlHiFxmn+ou?^~)UtREB$p&~+qiGmbHXYsS+x1r;G-@ARh0No0N1*9;6MpMka{
z74-Sz7xFJsV`kwCpxG9I>wrjYpivJR?kLoKP6J3V2Hl&*#VWv0(78NK?aWL>%ogp(
z89;WL9F4c$99N;jBuLh@3>zzU)lHP)Ghrqep22V%QEArwyafU1z;x5#Dy|)||Mn!y
zN2}FX_O1uIJJ*X#-6wHbs3uW$-sHR5rEIlvB=pE&BH#w40YrKL$)2*y(|8s7{IDYw
zxwXGP*y?#tAnf%pEhoLyp3DTZ5z*okP{a9Ip5;N=NN3NtAu@R{*tlOYw_5M)k>P3Y{zk&&pSESpERycL%q@x2+DA4G{^qMQd~+FlP1ez2E5Ip
zF+zMPWVW^}fMmnjYX9=iI--?LS6BC?Favx9ms%wp?t=Ns%G4&?4oac=gv-nT{-EjJ
z%KWF!Bw;V##_d0Cj1@2s|!l=
zy7)!|cL?)Z-V+nP(b>4e3U^-Bl~4cN0X?-OYZRMB6SQ1j$j9
zkvP+7Eae#l*b4q;>-Ne)1AGtI*{gN?&d<*cm;X3D^5r$y;kti6$_ogHnh2Vp$Wppu
zKem4`O&gXR5Ed3$j;bEIIjk>uSodG7B=U;@#tLM+bU-b-9MwcUOo*-eVKrh@{`u7#
z7;%_WkEE%djw2Bq^C3SHJ&*ED*F81tY3Zv()@v2~jy4al95YQJ3*U)}X32XFjnI?v
zfOnSP#1xy$FGbr>3R`pnefZSu8HhX{m0%E4MK3ShLNT{`NkjmG69AlB_b~
zj#@b^4i$@e{Q!(?R%}HLY&xkQFN$x(0^f8p0-KP#JZD_jNG&u4_oUU9spv*jk3W|s
zpr%ZXt}+}Vuan`{*&o-llGj>FwNC((=lSY9_h4D^Z--!ySRYc=$u=uMqUV@X!V&eC
z*kBA}i8Z5Y0SLdnFRO}%tPAO69`-0|y{k9;a>ZIg4uB?aqeBNQmU+u;2
z1VPKCSmA4I)^SWW8o%Wu=}qn(?5YNDwM%pgF*Uhq=!UHoS?P>38xWI-mmXL?(sI?%
zmH9(uQc5gw<)qwnUd3m=*vxR=m2Rx8xa@%QSBEJuwaHVBSax`L+rUGf~
z>B)<~;Y2fQE$QHoeUZVlrvB$mA_h$@Gjo9@>0CA0{vHqdCfxQlY4Y+TFg~)^y%}T5
zGsEo^IsE0D#j`&%-FA!jwSFmFBKn_5Fz7%}_A@lW`3inc$u0C;_PvLbjA=;XFh82x
z^@es4NQ>~@Uf1DZUxk64)U4YCg&b>MhBK~v$hBwg;keTKF}nz;pn+&{028v4rEnG%
z-DiSQlf)-+)Ny3dDlxyJZxAGk?ur*ejsM%v&Ov@fGpbn+kK@{F5f2KAf~C%aUht~*
zuEEqO#tpDxtamuihe8%t(7YpCGB`f+*LK_cckVB9oDzb
zRkXPSEn_%=NqS!3T%-SA{4)Q9BO4FTIE|C5E%kqrYG6*oAAmF7>WF?I1a^9*XAmbnk
zgrVsK`F{KkP@Gu)_g+ZKi`F3k;OPV{EZl5FQHEn;nmF24%sR}-gzua;qcP$!;f0+C
za(BDHktaZnJmBq87
z{SR-J7Onp)CA`^jg`424m)s~_mZzKm0FhYUe|~4YC66>@BIVk%SPTwDjr~-y%MNkg
zjWZjYd;h{#F-ZK+#t217*rjanrYnX9yqtjd?yoe+a`ZEdx*eJ)KVxWPL9M5VM*%w8%|ivuQZAs4ia4~O(w@Ct
znK?Nu`99ra890++Ilb#A?9Zc8pHpL4DsV^#YA68zYRMF>Ig{CU&@qkK`hp5F8$l~#
z;sx^p5T!ts_kLMI97omDqh-DNX`?%rmt%6R?xE$Td3|y7{kCGA)lh!vw1}hSTNfC2
zlzBpI{M)SjR4SstnPV0{V!f7ieE_O|`tP_SkUE3Q*YP1CD4TuKy-jtcn8@Bd?!VJ=
zdw7)JXRG#=_7|2Ave)VEfGK~}X!@!xOPmxfB7x}vqL)I6H&0}Q)^Puwh-Rq?P>)c!
zom$se-8?=q;L%i@gDJRDUYDv;faG3HvP)vFmy|=I@3>&X+ETL8$b-G&tPH#dp-%g0
zxVTW%g3|k?th-;Q8IG`cNZQ)~SVoUYWmD-YDIva$y4dv#hqMFMWo)^kCic56Dy2I5
zn;Z&|Ae$6i09T_q>UOlC^Cc(}GfXk87apnleM?VAI`c>)m8*+2?_mD1aZ{1BaxB+b
zXSvJSVnP=x;o73#v2L&&5rl0MyIC`hLj&jkULq(RzBjHBDk@G$xQNPeh<0`@M5b!y
z@A#!cwcCib4!B@~F`_0$9N#-A9=X@Z3M{O)9@&8~K_<$HQK(k5Bs;T^oR*J#mA}`g`4lo8>{|InRQr
z+7>7Icke<)B&~=uDLphQ`TTn7a~dJlJ2DuDUL*BZ2fwEEy7POaYzx3{frlw)@YhxE
zfW8zU|CMM@b{*@Yr1DN>s{5&JY{3TujWGUyM1+o^L;^gjPk=59rKu=u)=Zttonzyp
z`z(Q}q}{tQw{w?M?|OVF`4~d^u=P$pzq8`vwg*OC&qRAQGFJ90^mTAT4bUHrJACz#
zuudl8pPOtj(OGmFiCbzhb8x1@8kPT8mS3!1`xU6De*`y2?rB(!O-P#R-mh*Hn?6P3
zc6L54MO11YD64VdkP`b#WGm=Qug5R76wH{=z?tIIK7+SDRGxO^L`J^KXlM>Oj~gc2
zQTK3S)IQSLSe_71+ll}HqN8Ls;_}-;iQSs2U%=(&fl*0b2%ttJKh^9tC>wjD>47?+
zANr1kPT8)vd&%QodVRDW_<8-Yw98~?d5PVUdBjxgS5oi?TAQhfxjb=19UjM6`Lod~
zMstoZoOQ(BP?aPbd$t*6)@{nkPkEf>RDamCaZ&_Yzm$7|y#F{5om6v12JSL4&{16y
z=->Wi`pBEk2LIwjmC+XW2LzgZ^hA=Cwa^}fMcSgtC|#@eGCm%c%qV;;^4wtyV-<@5
z6~;iAXO4_iKQB&2S<5AP2)>Mu3#
z?ndJ6D+6svt~~nJ&0y9$SQKf#$nYLk+wj4pN+5@qHk)*Nz$haJ
zD7SdVcDY76w+w0j7H^%j8YsW_@VEpN^Xa=$J}q}-0dNW&^hBiz*1mqoyk`u<^c+8I;j|~noe3Y;6p10*ym=X_f)k)v)aw_tWpdQeE*0=CA
zz28vGL^kL
z)sEu+U8$aWM^QXiNnGR@m*M&=v?#-0H0Uo__<_&G)vv4#042=Lx&M
zp>TQT7NcM!t^pr{a=NyCo2}7SnsI)wjC-W>Z=Ph@XySCPZ6qHU^i8az=R}5ennf>u
zA4f(r!!=C`%oHOu0OXUwu;218&UiY!%5gsfYLz*X`=vrYd~A2^aljQ{imL?Nb
z0ijbqzApPth@f(q(Q!tBIjvzhyH1NJ_s(o$4P@&|Qm*)+yH8HVVW&?=R*RU_nO{gv
z5w2`G9w2$^7&%N$>I+AHXDBZLx(w#6(&d2QJ`sc~dGQL!%ZymX=@&9oFMxO_a
zBkODiTmZUF6|f6i{@n)%%|w8H&U&=oaqb4zHJQZ88Gi^4ML}a(H)C;doOQG08Dt&S
zN*&t#ca)1y)@s9cZqi+8W%JGlpze;y9@KS90E7|!cTZ{$UjDlgS^8#WKw}ZC|3Yg<
zp%94GHruFliTDBAmC<>!29xPRlm2#9OI+`Iv`B~^aH`jWqvpM4fExE{plZAWH-(A7
zDdEw#OeA~WQ=@mY;BWB@!+B2nPcXhTfVS;^&a2i%E}^Ft3t&yBuGig&=YScyGDO@5
zE>+Ukegt90|FEyX#ZW*Kh|}sy?xBmtYnJc=%;EV^(<|5VXmZb<{KaB
z{+@fiX>S(q2ZD{bfjrbaV4?1MKAZnLK}q&3(biYQLtsP+_nSP~SNF4EhLKZy=O8KR
zuz-wq24Mue^&bGh?s}U7Bv)JnUQ0ay&uVQ}e#HO6$mUVFJ#TeT=1f7hQ%x(0urEJN
zs??+>7PMi*kU}v5?MNArw?xz$PL{coxy!oZpQ6-Tfx*ZxT=Vld;q|c?=5ddsJMDRD
z{{|sW&E#d^aAQt)tR=@7g`?7N_E(P_95VF2nYutyb|?-QbxuDIwpr4W(W~g+=RFlH
z>EbuHD4D(KE*vpB1WrE7?XKVzaX249>Ub4G2g3n;HmLK4!q1bJ4jEKb+-y8QM+%(M
z>E6R61#ZtvNk*@#lC^?A)9S{X5lDIC_D2BoaaN6&%+b!SJoW^t4=Se7F48)j*RmnR
zso#H!l!tV$)1C(-6C2)^&*RK_JbiMSv48c3uQ%{h6n1KR=#8^8UIMly8ymOvlu9`a
z@nqUquWl=QLIY1E8{pUh;qpqP^iX3#xnUn|I4Pld$*W_SanHyzmB-yQP0|a)j=}os
zNuji+78}|5X(Qy;a?vS$8Cfd$&9&iemeCK1>$1i<+bEY-_^|1tcQzJ>djB58>bzYS
zn9_L-aidt_1&P2j4`N&%v7#z&ra1NQ^u2(Q?wc>_4diXEM_hGQ12oJ{$+0!I2J60w
z0#>*}t?3~vAoKh5k56ZErcCSXh)xgJHf^ipU}|=kuOInZaM|B46Gu}KZ9+@m8W8+1
zD-25!o;sBHGqVp|6g*6g27@D;D~=1yRkSc~DWUi#vBq$WR?}KG89~OLpJrhN3cPt9
zO~o#oYm&@yO9}?o_<)dXmc6?x;+E>ng~OWps!F~hR*Q|3@!V|Mv|7ADVc`RyHf&Zb
z{CzqURzJCt|5EGIg|v`)>H@r$gs_v-RyId}I)c)yo<4*Z3~69@1~+QCnhU|~F&i_e
z>d^7N;KZgpUw-_j}uvqdk27bt;TMpkI+05SA8C~l25fnEfFV-7s_+~Ql
z-41bQH9$U67pNJCHOBVUG?cCUAF!-+g^lTI>Th%*a!Ik8Il=i8g
zc1=T%gvh%OSkWuy*bpeTt|`||H}ud%d?U{x#2^zU7p!Ocww@;IW_`*z_+xy(W{HD2
z3eX*2S;!RkjBLx>)A6av_ja2BlP$d~-y;x=pM)M5Hrl!BvH}ok=x6LwwuJR#ZsYVi
zXBj=(RxacK`0Q@EzjW$eq-DVmZwcZcC9!p51F3!E#Q&S4NJ#YR$$x!Q!5L#%SxkRS
z!jM_jKa@4~tyPHqU7E=*BWR4a^=3~%ZO>U85jM=b|4vw4Rou>y-R`R(IH0cn!A8bLwk3Glq=j!Aa#X{-{)ey#YO?i7I+r#n_;;URntPKC;#aAlNQa*@yfEu7ktPd
zpdkMTwWPj|POc|!ete#9I=?9x0H1C^9ZdRLkI}z>`-Xyg-&*{Ezf3*1W@b^-%EroD
zv&G$p+p2U%6?9y>Y+1TcR66rVnZDrH!H2MewbL7^X>>J$&T=@oO`y8>ZiL}qoVffdlE_7{1j%7<6aTo9=ERGY3u7~$;DoMzx)Fi
zL*=scS5Y}c5+D|czG@bEqX@XDd2<%Q%Ga5iV_g<=td8BYp3j;boVX-+P^>tZWwMr+=iE`rH}dg7yZsTGr*OT8~qD`oYZEx2u;`
zh&s`a^XRJ%;Lr7&#n$*8ZrZ>E({o?p?5xrSOtsVDNB>hVn+S%D-}aWv6zphRd3tFC
zEEzWER+k)AslUWZ4LO)&h{>e_*qV9=Fh&3AL0_xYpC40y3f7S>^tXhc{uHmo;%{e_$4`pCLRvQa|i{LQX-(%|ez*
zD;F6sXhB2;SOoqhTJ;fIg9(PUn&7EtK+m@+?|p{@cw>A9gvR@Dk#cXu`xsK@J?qlH
z)2)Tey*V%Je5E-}V+IN0Uzt7Lj=I2Y{eiQmi6;rK3PI26sEbOzQ~mfb5rX=+C&O8H
zu)h9Hrcb#0DxQR(t@MuTfJ7E&Q+Zv4g&69HJ;$bK-XcY6Hb
zD!>|I>eZTf36lHmT@pIJfum8um{JjZRF5;uv*i(jL_WA0hm8SH>t$X(Fn$@v#?mdIo)W!-A+m6bwGj(>guqnUw-j&P_NMIm?ro`;9ug5
zjMe6nn3lh
zWBiulLhBBrDz}KqOhwfR+kQCaFZLF$P$|)1P)gS8>AtLYMPwRCUr|`iZs(xN6k@tH
zwY80ira0KxuE#Cci9*ZwJy(S2}Tu-3k@1M6{A{-$uM7re4k&A3B>3Pgi=YCQs
znOGK1OdR=iILH(SO0ck%et|?P?Cy+8EX>#6`m^U#eqgnp8yBU-RqN7N1)v97_bn{6
zXV%3fS(ltC7%XOG6q~I%Cv09$h-sR@?SE0!8vw=40LAt3a<)=EmC)
z*!*OUk2NPy-SG21?G0EN)>l*lq%XzO;r&N~-xjR-xliC>=dtZm*22&vqCrU-fqnWB
zsTg7#pzmco&zWy!_{AiU?e>2f
z-WxNDTm%&KiO>{3R^6Fq6uqPJXx_Ifo*uZ$
z!k)bkH6eYz)<7`a7-A%j5;GC|41ZUq_W8JQqt@xc`WSv7IgJxzlCsmycJI@V&O1Dw
znL@PciS@)d=S#L`fG~BDrt`h4m+*7MSv-C~O!Bt&r_%D7W|#1K-Nj?~=VO-$+h@`0
zM7N*rD=zfia7vD7p&hfYnu{2#sQn3QJocH3-e$?03?;6)Th+SDaUVx4!x}rMYRo6^
zfETr!5|7tUt}3T@Y&2UZ
zw|3o4FV#?9=oaA@z%*pH)*i)Q;&D66*}nuVZSFiR4R)38qn(XVL_$)6RV({S
zH9|;GeO@Qz5*-~!R!VhY?+BUX%63^){#clj`C<0gn93%#q}T=h$eBl5MHHAqu;LpH
zqXXrknFNm*+3NxSOjpydu`I-&xR?F35FC;gwNcyFD3}Tr`VrJ)(6zQ}seAv#YONg)
zX~mkHmfuzxhiwynC@QneE6Iu4j7={c`~Vo*!|@?{F#6$pKIb080Na^nz<5VTn1PlS
z@R|6<4RiGae3n(qbq-az${BV>(hRQ-<~O$*g>e^Jz}&z=+`eCV7P4u%#B*78Qfu=-
zrs!T>H}qBvcYaZ3TqnDM5R%fuf9Fpa7CVKUL!)a_
zNQ$_KX&>`}d=dis2%%@LAnzyY?LX9T^jxGyU9u~EFzc&@XUDHh)G=UN{EW&DG4t_8
zA&9=Z1wv7g?OL-vBFY;!?8QO8W?;2i10Tl#10f!ob
zUjRM|Yv3t7rYrlJo{u$s0heHA~imCP0x>u@kp^{rb#Pz@
z&6H3G3BjhH>lUrM#)oTnaO4HPYG@F`p`xN%&Q~E;&xd!dWi&UZ0=eq@WvvWqWjVFA
zwZ%VCDFSJE_t9AqYU=9P08MUa9ewhG;;*DG!&}(Hxc@Ej_it!hYTkb!KNm-SXu|$x{uMb2rZX_G
z#j(O9O&JkCQI#cuswuMx(pAptN>0iwC267ZFi(g+a#;6Ui)Y%PmjEUmC$igjCb*w<
zxQ6GCWECo+i1AEM`}a1i55ug90y+xzrz=S@AepI&$*BtsLq(!5>|JcWgY9Gskrs;a&7)u!L&uOF7JK%fmk
zDuLX-0(@^lnD20KHtqx{D0~uh+)-O}Mgbp=;2wjuWAA7F>tz=pR*Hhce>4WJ{H^F0
zF)@EhpQpS$Am{Ev5%@DM4cIboM4khGbgQ6@GZcJg?WU%CuE%
zh!!r~%Y7Th^Qw5b_aS>fgq4RK=BLa*m~By+eZlKDYs8R2*#M?!(L@PHYR^n!oky?W
zB|4qO=quRw`~U>>c2CFIUB8lhc=AKn#8vi-SYxo+wNH70><3Fcb=Euqa^?1qzA_T>
zyN|r9bD3z7t7Weehn)fYHh$f@uP7_Ism$Z6(zt0-ZMi2`UtC>zgJpEu(DYI->olvgnwDIw_MG%Vy8dXIQX=VhK*L<
zTM7#QOy~d5r{%I;!qBkTv1fboeU0$RaEYM)YB(USZ1pHWNJz2Q#l$qbX*EyHhHnGy
zNXN{}RqzS5(vzt8^>HmeX>#@Qc0oSu!G>e_Rv~ZMnMC*}{hAm0o#RV(w_0DracP#x
zG3(w{`l~PaIh6l`aLm!mDSn}pFBTMacAIx4@>tColQz}%oG<0l>2YaP&Xeq7v<#x)
zt%pw1spW24)t7a;Nv-#$6u_ef{?hLX)US3!s_`d4aSrO;2ZstQ2=nUnymnv@#yWiFtIi+gbhTo>m?)!%
zu`}b^9M(CHa((!=V~dV(9oS}#P&(shJKntv=SdA$TGv&!YK>gof>NA~UZEYDjIXPj7
zGRoTir*?+!w+ia&uC+lQ$|zKZsf$tstCdNUd!x>J;ZaZIzJJrx70)#V8#GHUE`{^>
z))SerHX$n}n9#T(SjCM+nY~9EE3p>Govt8JxOes|QR_nGlF6BNN5L?isZ>n(_6z3b
zV^xO_ULLVzjt0(^$eWMO!!j|ou^AzX2(saSGM1%cYW;0D+NV1%uV>HW?(@%jq1O{L
zdqdl@M0mZS%#dSeehlQ{c>9YYVV}EQcw*?=gq%A)Bpcz+RWmq%b?(ESTHCADC`mG4
zLNW$wdwB4GlZYS*DRO>()=*WA-v^9iY7txm8UnuoQw9pL^6sF!7;M6CcAhE4vWj2I
zi)5rug{Us=hrfT{?o!I9wc68ep#Dr7>}Fm_=J|NZ=hbXR(l+nxo8`c?s~oUDv2hbw
zNSMyA`lzs;kfGxBYDb!O6(54V==9i~j>0DM=?gThM=?|<aLYjF6i`FNEED;a`BsLDn_y#V#(T^YB2Abm_nM$38^Bey|l_gD+_foV-&U`a_Y{
z{=pC$A-o^xm^UP|HrC1}()G|k5Rx7Coe_>Baa3XAj*u(J;Yun)C~%E}TW_lWW5)VG
z)&F7YE2FAvqjd@C6zNt{Lb_YJMMS#0yHgO57Le{ny1Tnmy1TpkzI^ANaqo{khCkG?
z_gZhv`OGI4jt;5wg;qp;ICz*sUF%cP&K`t?4Bs6@xM&4Jg6U0}Mpa3_pe-liqSwO_
zxJQ70U>CR^j;hm^ta|lq`MdDg4<~XoKala1aupU7+#8pHl3ECK3ILfBRl;oH*XN8V
z-QU|i*zK2BjWS;r4fltqihL#_NAsH*QFMz_WVyK`e1WHv2rl~q
zR3D-wc>w$c-t}Kd2L&Cdr^sZbrG8{#@LaYtVGmZX(VyWqzp0rsqqbfUSL?g-?caNeZLRTqDtC
z!NAZaxe+DRRemd!fmqJmb54<4~h-g--ydffR)
zs+P+PoVWb8(vpOxeX%hSj5x93tOF>O%T|o?Dey9G`vIMuljAt|(!oYPKR@4aIJ4G~
zUeZo_Rp(z9+n1mLzD}Bf2;9YPm}=ZH^`gadw$CICO)bmrcok*6N9k#DYNkfDJU;Dvn;Q2}XeE_bK?I*KsX;>Rx%IF}`
z5bSawu=@P@GpEZb>E0fn`Y#~Ai6rE*`}vMaF5NUy{rgF`Tq^IL8xanU^V|mZXJq34
z&=@moYvY^aB|<*8KfblR;&1h&ubHfL4
zX@wE}8CFr4l!zye^lQ4T=Gw%>#CR@y%HD7yGG5+fK*hf?X|F=9G#=ds7}e~N)4<@M
zq||q{e{>XrwrlF>ky5s)_0zO3Yi5p!!LxU(iU_WtBz`##R2hM@AH{SyEWKEN
zk`W>@U*YK~aDU+Eo3^NUEsQNxwS9#B>N$+cHe(4Np?S^ImddC@6z|v$msF7j^T%bZ
z48p_(=G7Q+inkiFRZvrqa+;=8d6<|OQxV4XA9%k5Q3pOE{@`uVKDA+Sbr+l%GufxO
zLz|NjX;h`>XE(3&$FKZP)M?P}Qj#QZyTb-6BnN*rUH0q{@u`4U!PB+ptM>WxQ$j6g
zi25;ph@A6Y`nPoc#G$er6{6z&V8|4^J-F(?n;88{F5Y>0;?msuei4a$@7e{N)FR!Z
zhhB|5O<6xap5Q(_f>D%^hSbF6MT2dye8|Ll&@pJXNCU`~V45RfT;S3TM3j`UqN(I_
ztE&Eh1`3sgUj{7k((7`UGri~2KmmwT;1_+m>WAibG&3>Lu|HJ^DIqUUMNYnX4$JTp
z_uGHv%=qkV-|l#p`?n;?UoD(-r+r7PCjZL?z+Qz(eQ+f?N0D66UVu6iOU`d
z?m#X}@f)RxF}mKaYOaN@ea_7_<;l^qg^GIz)}rH%*0N6T_GBE^s^?PVk$s6g*kbih{#9TOOcntE)Q1ZoBW>xb*E8>ue9_tC5n1>q~@XWl_+0
zPaznZPN5)R{eCo_v^09R{6g0o`;GkCWn=*}daEUFh)^-IySqDbDk|vo$vqp+WW|G?
za7Vd=R3Nr}6&=6!z;|Fn+yYndp@A4$ca2?b4R?z~nBox8<|0&koFgap7!s$2fecd%
zx|N86sz$4A5YH`Y)djyzA#164}il%I#`MsG;&F6VX#5L0|?w>a-Wbro0#9b^{tiEE9c>msUdvOx_1fjSwIQ9{L
zdXsuS*Koo%E<@2*0qcaLA50t$)QT*%7LpoGT4Rq^G&`tX_~rWN>}8Uj`NFTOen5c{&7B#r5La<;;qTsELWM0A3y6@_L2vKaP@ivGw&nXCl78Uk9e0fd^M0
zy5a!w*olgi)CaVPfk4FtMi!H~0A9TE+8`B4=MVkjx5GLQ;R&B1b}|RwO+Qt&z-`Tq
zMJj>Dor8ikeDvmzbIEU`!iRz7f=nCjYbYzJl+SJ^gp+!ew@$~*U;W%upBTL*v4z@?
z=jtOBer$%?enNhSeLQNZP1qYI?cUlZ8wge@n7IT=_(^Ij{~CCc0=eEpo&3*Ru5p+p
z#Q9&mONF?z)^4pzSW^_okC*wDU-~SiS*}3jx|UKH3b${M_e)d&*!xKJg-Jk@N|Z)o
z8R?6}qj(c#-%*_19b>4e!Lkc-sSqw}_mrm14FzQ>Rn@4>)|CIwYrSF0b=tX_3q1%(
zJK6K%k9QOv^)2?q!aVG?r0qQ$6j<(wNK+qJBoI%h=HsF2rU*D~%d*!L+6PCLl?Hdz
zqrQ^W(||O=T-o*;v8VNnm>AsIA&HglLeFQplziR8E^+{tbdGAvn}^`NKtMMP
zHpMGr`ZpdY^j!xNX=oUXmCSv#;O^e-W5Th7etFu2LOr70u=ZY-mQ_N6pvQ*xey&cP
zleQdcQlQ}E{3Gaz3V9zH$0i0Y=0xVss03`B&)M3>bIC(r2uNBQ;x-zUkYR~JV#5u#
z;;6(M6wW>u|5N=7MwwEUj!2Q?Kbr3L`AZ+>nm6cf
z_!<3D)aBegoSr(4{nYf(&*zY}R-VW(v9P+&HhS-XwaDGV%5x78nVDKz8eZ;>FS;ER
zKkj%x8>bC|5Lj4&*Ae#{LVl0gD{g-NmO(EZI2Xv;JwD(d9RrG@uklQ=d$zQk#wCK2
zgd+D8nbexv@qu{I{b4d|CZ2B*(N`(%#MNU@)dqmv6Dt!TwnIGH9Faf
zXJ(0+uXJUd3mIRLJ
zIc$~Z#)!VwPA`Jwdy*fTK%f5lCb?Mnxt6zQe%S)svX`Ym5
zI6XEC1GZLAm@sYvE$-L$;5k)aSr
zbPASxnJcfJaBTQ(Rs~y+4nA|IgsWTC`-9KcM2bK94Ca52G+u^s#=Lp?X@;AWv`xva
z-K=_jXNUM7BI`r?kLbVj@@;-}kw)^#g>
zIZ0g_URCxDb=noyMbTHWamlL3v6IVn(LSSow+Y<@?$(sj_G6FL*P5+Z`G(2Nfj2rY?{pmIYK})HVb6;g0iKo7@jFe`Ox9GY
zU=ShX{#1SO!|9TK$?7Lg=vk7-4MzKILv*48zTZ3#0m#b_3qmrK1UNq*>uu*GFk!Hl
zSc3`T!m}%if^M_N22)MRJpQ<~i1;xmcv|oRehQLZ4W=G^-@txyi^X6XS@8+gZDD?#-}`NEz>Cnr9dGzmLsAtlO@l>7Q0ZpSj)}j
z2Y~U2PW?q54P6%?N$C9fF=YmUJ4NcNRNWirz>07Tl$Ps_Ml5`Q8>tJw&`A9rO^F1&n#_a0=;~(lB9?%;l6`aR)c0;dz^4z#pX5>-VaUx@bQlUw>)Y*X
znVM^y7p9nR${#Tl@v`yD*Gom3XDa}8*5ql;epxKt-%Pp6h
zZv=`6jOb3-Lw7LGjWPP>hrp3Lu2WBno8Q)MNi&Uv;l4wUYr6%vL&hpg#!U0uSi334
zvr&qgUvV_s^doo>=ZETbki{M(B@%z?@s3UjsBQJzUIt<<;3MGEi>IWWoD6ho7jg_m
z&X0OMcGgPjCjMMd;Cs*!u9@R?zb+j9YaAu`aU3u_qHTRTvW9#O36YMav-PY2&4iZc
zl@f%O+a3jw$nMn~3B26N&m8Pc=4t;J4>ni&y&2Q<2jd6WvhI8N63qyzaLB8E~h4
z?t+Mj@B=|4pNaQwS8YHl+3{U%kwAAHuYjF3bNyAVxl^#3+;0M=l(hr}E$dBxbUkVb
zgjC`5j{$BMlHWw-@6Nu2TkykGy~80HDyHpWJfxY4K60LBuZkK?&wyX=&FqrbISwP^
zbjpWX3;#yQ;5j1EGy$DH1pzhR2F#-yAxLRA)DR>~>w?gOSA*@{
zE4S$))y~?MEBcw88}Jvfh-&Mu^MgOD^~HST8(TKo3KE~5nAd|%Z>UHBeV@xCj`VC9
zI|;;azK#@=Uf8s5QH3szm2+A`-VY!L9@{Y-N=RF)dC7vKz1`LB?HesLx~zK>yOb)u
zeP>$LSd(fCC}?lG8sMCHl3A3lM{$5+gd~>+Ru8%doq!S6r)ZDSIM{E$0DJx2XI|_d
zM3?hsHWr@vbR(*?f4l;)Q+xg-ymZc~+s(R+e=rAfSH2ZzWyjAkv?O#%wd6>Z-935c
z7k^7F^&dCMtu(o?v&MU&oI7r)ccfWwF|-L@$azvac=3%l}+Nb
z+l1He;j~WwEG&H2j^_0`W
zhk-}ze7E%(B(FJu-^EFYf56Wx1TN%j2>*b)49>@7AsG9p$ZLzR(<@nO_M7=%r7xx&
zcw||cIqyJKeleJ4k)HMQ>PK@9DAq<8yu6W^Y}*NE75AA^2RtNz-`x8FfwhX(SFZ{&
zaD;r;+nplr@fnlzp2u4}8neN!zGkFtzXcr?3wEmD3I=^-R@$OgF!5Ix&nN<>7k$
zoL^il@jvv-dvz2j6*erg^Yf=_Hah7t;=;Pce|DKw|1wAJZw_dNvLrmc
zNA&LsZ+(25r<&jVlpBx6U@j0}0o2K^)eI$~v*-4^Yac;q)hs``&aMpTELQDvcW>gZ$WjVX0$Atfw?EwY=yB8$p+zuPpci>3EiH4swtba
zS_s!Hv~O|T%%WL)v%8aSGwvro<->eENS$RBc0w
zhS-LE!SqjHF?Iutl&-07D;AWc+3m%$&_(QUjq=kKIv#qp3+DLA1Ep&QT5Rmrt
zz4CZsJ$)vK7d(E|Yip20+T2lPHs07W_#<#sBQA&b7N3#f&X7-yQc6pa7!AMEP=zbG
zUM4V4*5}KJd?OX`^7?onz}r6Vhh-2EuD^C}fq~Ka!zKX6*zutmv@vQ*8p~aNqZVCe
z)zH7ab5pC;M^E#paMo8skjI?``Zk`tNqQ}6GN>6n2N;QOdsrV!zF4YIJc(6RG^acA
zw{;01Q@9q)JhO|d8r$6P22T47D})LSpEjTb2=0u+Bqj|VE-1--b3o6cB1bl{)R*;p
zY@$Iu{76C17xj@vag4x&PKU}PF7sZ?=Z5BAIq(F0{+}_ZvaCsZ>CNwKM%!J
zP6Ms*@m+3QCNK(I%c5B@GpS9IM3577j)5X7Ono3uBgpeJFn5X@c{OljK
z%ODV;Ym)WWLLOm`EK9ZF6p>E{NnSYR0lI23Et3s1qbouf&kK6D$@s%UmEFlvctr_x
z6VBbPwrkTx52OXV@fR-8dx(3nrqy*lGc2W>;`>|nhPSIrATJRR_*PG!nXgYi*&0q16m;D7_k&LVu-sEm0=-q+i-=@9ZA(R#DEghg
zYGRC-NVNmi<(LwW0-|u^--;Q
z(0HgI4*V>=HtDIAD!XyYF>ashfqnPl@dV-IzEcbK^!AfC;dTq0ai-z}NAwLCyw?II
zCQ!c-Oee37l*$}V@*f<`yX?D@=vQ+>Kf+zd+MQl7zoM~UC;7}5LWE@2JbY$)I{=UL
z?>OmC+#-)dzyt&O`5#LquvokI<;QuPw&i|7*LyN+1CGSo*bErc}H
zoXk5-W34v-$sQwZVWODH;sY(tmUF1l9Z^=Z)r?-vSsTHF3ERRKpD5UO@}4fCf&xSr
z_T-ZipdUCa;on3&hKfHls!=*Lbdg}brzP}B`29}WRy11tp-aoa)=6mq*d?6i2^@Z&
zTn%u=GYAhoOPHv3bL7PC{kZBIg-VV4?~>T^<<3}imLcD`^dn*}DIW<*vCibngO4lA
zS5;SgRNeQ@rG|&YEt<;*v)(O*b)%5W;FW2B0aaq|+1|WI%k>eS=X~C&ZcBW7VV|Gd
z|63;CgoSzJpKVgig(}dNc?Nz;N?Hqo8>1`G+F!6HF`eJ@N+2RfYVr6|HZ3r+eN#^8#q_x#DX_()6+tx6nvHx{N;jr
z(g#J9IvQ5Sro+EiglKf)O=QU?mpB?d*1!;y-E;XFQ&xsmCn5eVu-rO>Grk#giT>Kr
zTtk&7a_O1|hFZ;LIDW~QzU%sH@c*~)c!YVU_sfox5R_v2%&ybyM{*j;Z}Pg@m=Y`=
zuSVT9+chCt(M>LC^_7?3=Wd0H9_e0pJyMX(U7Kd8Cl$~Psk5F=TGIlvH7zC98tv;A
zdQ^h68BB%w`L^491Ln?kgNk%?y|(<|V67?ra&9HqI_{&f7Um1}AaT
zCAMEGgVCuJ3aCj)DPQ>+=paO>_4$gy>!xv~-1TCc|7c^~0_XkxU_kX<)6+d4YNt2V$$+HbHCamNC
z(Xfq;zn4=o#K1l_TPd#S?8iY^3#R|*O;aBde;L?lOU0OA&Qx)@psoIpAkSj<^O-G1(9#xzA@_eAO{CG%}`*io0(a#o~?_E
z=cl3jvV95Ejt<)`V7H4?SsX}7I6NZcasH)xHgjXrN`#benmC=8blx%`2X8n&%gK%t
zm&L+)vKzJ=&vbr{{o}6c@F(B}ttSIAx0m9-Q5voU`Hx&9E>jVv&i>3E|D~8K0y+H8bqBKF52y9f!TNpv<5E#)P>40MqL6U|$
zpxnxqQtD;ymUd(NzFBMQK|sChj4Xzb>xij3hxU?n@BdIioQg2
zy|VN2*8I=ES{RdtWm33f0Ek?B4W?FK6&1(t<|l1!hh6QT5DLVcjF1zAuYQJ~3s0%@
z-pAI)>N%<~<)5A1svf7$T^zR_1Jt5S+>A>4xaM!uR9!6e8jY
znKe*&1I+T)-a>Zu@EEU9BW{L)l*a;^h}hX=r3KAim~A(#%xgNDrRS^?^?3Xak|?owvFHT3zGnPny6e@@*9t8~98
zj(z0QwxQ&r_O;(;kGRfGZ(&da9+rHDU#@UrNwY=_YRYXNRBMhtz2|23p|}wH9nEHw
zgVa=i5wd|Bi8tIMFR$?RpP;2>;f(Ed>~cDpz5%QMUA2~gwdJ+PZ`X{9C^4_ItSe5!
z5x9WY3*5yUPrlWL1wk@n$*M4$L2%*4_@-yo<)t@rv7#|`Qy_i
zh)sY!KQBnh@h8ORaZ2tss5slrvUh*Zd1!xLqIf(Sb^lvz`|OU(!W8-Nyh7K}5jfom
zGmfG?v>GEi4JwxS*X!Xwg@tCR_uZiOc^_GXM)x@Unk2%QP_(dVi^DS8_8EGRU
z%a^T_y>AAKK`z>{n|DKc?0o~fm1ZRTt`JFhbI8{zRVF7rUk?3>1<1153#J0R+XE_)
z7<3U;!Sz*pdm7v9(pc&+MzdQBh-*S}+vUBh!yKp@4h;=6pf?;=q{Qz3Si<&d76YJnD(K&;-?iQ)3VK)7?a~
zV#CsR$y8WwvgEm6(`tTEtS}Uw{6y6ep<+b#d5%Wpad8}xaXUloEoIqV&rgQ`W@_K!
z;msbM-G_jxT)uT#$X(sIKa}iY@NPyuux=-5vZN39C)(*0n85wS&HitiTxPw(KXU+3
zj~kkB5%?2qLn_;%foAM<*ihtzAMf-3tjAW~?mhOy50lgK_DrVd?*noBuvfo9`|eXhq?+pVVRduCqWeSlpPvZ7
z88gHy2Nvd=W=N-5!>+HFjTvsHT9yE%NR!Gx1+cDiO67%0<470SgcLj(+Ya5Pym6?A1L4~Jo9!Xh*S)aIeNZ?0Ixnw(jc%SZV_G?W_So$yBn>vI$N1`)1b&)IJMQQyYCeDfD-DM{N!5rs@^%#D130L5zDf4CFC
zntJA|%^}O?EI?(|l5uJX7(g5=9?@w0w?0P;wff8nuL-Yv6FDA7=GywRWxB%qbu&=j
ze&NQ}iCqcz*x^d-jBFJ1^kw_>b>@zzFHD?G@Oeh3
zZ4P!vyh}j~&xr4+Qsgv7>RH#x2l%^RrOf_xkXWVl?==`%pu#0E=~k%;^klHPIw;31
z3%Hn8R$q+lMVMA|o1dqeP?HY`BxCJKkKHYzfJ7e`4lf5@n_ruzPT*EcE>9s+5|77?
z4r(27QR>0QHPQJhVDy$2(ZE17dOYO5<5j+N5TJ;u^`+wj3r~P)9QD!I%-NFr38vS}
z!)Sh?eX6>izF+-LYHG~eeTL{<6f(}Ph*+b_LRskTp;5uS=!=DFVWEriUoHQ?SgUr$
ztC6-%{oA*$UvJ4u&VSuofoO8z&J7>kzd7AvJW33t7@ZN`kNU5Kdavh;w5-bw(b*~P
z<7y)p1IA7=KlgvirTY@dq1jEq;k6QuazsbPWV9me@sg&0?Z+Q>mrq);ctVVG<
zdaUi{RuU*ddxwjY`$zFTg_H-z{R+l8e&>T+#g6epJ{6Rw554PC!W_8V3*!7b>gHi&Kl{;y&QQkSK87Sd;`CzX0<_d?UE@;c;oqWo*ndRU
z+d{|oCngc}A~7s>jAzAwO}#sAtNhr|qx0_!OkwXHXwww!t_cC!@F(H#qMP#Q!G1`)
zeCLncIfkV(sR_ckV{jMpOT8+=Ac4+c6U_M7!QwJbbq$Eq_PR4e`z!w%JDn*S@@eh_
z5Q}qwDgjJpi?yw!N~Uc^Z!mS7K7X>tv9dRpM+>9kp!vICsa|9ho+@?V(~sS9F2;Ke^Gxy{g`kNe3!#nhr~8gGN-LK+(*goR2z(6_{{h5ryOK_a#Muz
z5*hP9;!YJwd(E&%hk1K{@4ENQ`3ZMtdr|bQz;B@Gnr}ga2Gsgp>F0ejc^3zrTPkHP
z9@uL*>xLobA(?IYOlP6^@4Q9B^Cmxr62#evhEHW=Rz)gOnd9+&`td7Y(5|QFV)8{(
z&Q%h+J>xm9NQo|h7zG8c1?$UI^%*!ptpQp1*LzZG>R)IAkG~15nSx|Fuc@b
zi&oiPrFmj(tnGYjQ1b+k#s&*ZTL$8p^vCubz9}i44Y7=#CapZe{wMgsqWx}jP+W^T
zuo0ZvA11MOFo!g!Xdgu>&7)5?iAxYOeZ>CqiF>G*qPL7I8E22IbK_QQM5E&|tjRk&
zzJZ+usREFNk?-MCjacQxNdCj_ZmSxcWcek)vw>>b7@MXt-tzG|Zh^C`
z7862Asm@E6Qv0rl6%!`vD=$e^u(@9@m(8sTY$@~#{(mMRujki?*WB6w6atkB0|Zd_
zp}pqVzdWtH$T~T(3kjtr1ZW0@h7z_ZI301c-l2eWPth$V{hl(gCm$cVv($kors=c;
zsjIvDtdry!-N)MVKz-5UVpt33;PeVSRRV0n&a%~17zmnq{JXL~KA+z!U%GQEJYpko
zJ5k8)e-q_Id=9EZI1KYaY#6a%Y5X40-9lnxq%$o213fEMfUwN2swQ#eaAml1hT+hu
zKfL2S7s6^=zN%Pi+_;A>SK4~;f8KT<
zrSp{FayAx@x>>F$dETEpmmt}Lf@792kGDZKNI3|}A;3X8DTzA&Mq~BpGfYmH)`EOm
zbs4oT|J>T%PXb{)f|y~VJ?YaKO>Qz3`1c-R1=KPjMBN2o5kgo_b
zSJ$4fQ*Y(hR5?!NlcGhqN7c1o3VhhE4^!3>X63%nXH$3&&qDp
zI~_W~fid&hxwU})V1S~^P>t8E7GJG?^v%V|$fx=4>Q2@4_S)w>N#J4ydVIWBRXGI(
zg-j}M0vLZ5^8L{Q0y`UetJtWh&sJ75czhu5WL7`o46vf0%8Z8b!S%_WAMQ?XW5SLp
zD!SKgFM`rnSfcN2N`V)tJ0v67H8x1MN7{T7GwXNxL;|D?t7C~xUhK?Ya|(tNV)Sa9
zy;=Auc(79nR&7j7aH@84MSo+zl~xlu!7+IUz&QWnTh{B~uc7*s8E>vVdM094$G|LI
z6sKyooJTIBlGVj&+Ct|eWb5+i#O(dwolY@8^uLz%Kb-$Aa)!5~m!r;+y#CZmvQ9P1
zKtcB*eWrIWwsnYGH8|t)+fo^t07W##JB4qzpmjml>a)>FOP}Z=
zYS=rrFmiub4B}Pf545-nF<(lBmLJ`A&a$AP`ooU-1qrbBdy8MvnjgX=3L7vupWPLw
z+!<=zDi=4GZQEyIakw)KqrYIx{%(Zd0qQs88kYyji)IYMRwBEkUmxZJ?M5Nk~oVZX{h{%Hd^?1ZQH|1mcET3iI^2+A>ev>ZDiSY-(Bn!M+8P=@t97K
zC+TB}3Pr&d+U={&q~v27j7)ilX759`kvo5#v&9#U{B@bgv|DccX?o#}Gvq#Z!)&5@
zSL?70!8PHf84B%(ubisdQo_z~Ufj-Bza;c@XLk>#kB5raN5wDlEl
zn9Z6C7;kq
zcgkjoWl44E@S9e?oSCt(r639&6Z7(VVi)K>61ZAyV173eIiKs7^5AnUO2Ls$kJzRD
z1nMV&c5$leepp_4I*#Xu>EX{VK91>Yex2%?l!2EzO0VWl`C4age3ZaYcB
z*DSIeB?K`kt1SEaR}8939uzn9jMq^c|Oi3d%l?;x8VRR$TB#YEA0?{;r=E
zr;NhMzX)M1sSeFxe3a2?03lc$6~Bom6)cZAk#0ExJ3Thn$>Khu+u~4Z%{u52rPy!a
z&2T*YOO#$TUD;jlyVMs62Ja?NC^p^ssuos*M~b|;6Ou5`?|~==_E0LECq-kA;-qYnF<6C
zrdp0)L&gC${m=$fz5n2i5AH`ezP&xx7x+ZWM>ta7m-*+1-)^)g5h1+HxjpZ3pLkBf
z^lHgg1L97i)NGuxu#^s?fCeWTL&^qzGxQy6-UN8m)(if2;99VVGbQugz
z$}hF7C9pO>$|bE${c{;<3{#k`!&+c4WXFUEOTPG}aQ$~S#3?*P#9n$Isi`>Ij+UtF
z6>2XJPiUR{?(Y7fyY;t1r9~I}0W3{xR&vRX8TlfaxAzJf%onuefv@$xJk^)!1z1kKkZz1Hosz4&&UP)o+Cq
z9UlT;3^%s^edRTCqzj%1CwHAp$|tJ2i~ZTn=tA#_t&{=s6xy~4kSA9&#Sln
zy{OLafvd0;aw2Xl(vf!po-Zv*oM{ZrDd>d
zI{!esp6N>Ni3sP6V|V?HBIx6Ly4H_xUj(ILtF?;Tm3QPq+FO>>=PVM2mZQEpS@X*}
z*HSR1xmH9~=F!~svzSZBAUNG7TSfxa@%#LQ34GAPHjs{;+4I(2^BlkV62ASBKs!xg>RQn?t
z3a0UR1|LHdXO{W`yVG?4(4Rykpx{WHMHstwJu)RZdmq!zkkwXCG#eAxsUyvIvGShW
z)+!jEy1DGDG|;4u*6hrOj;a%eq_sXkh@-?IO70_J5Dd-XZt}X3_0#mf_RYa<&n7N(w?P){M3wqa39DZij=fD#d0CBTcaD$Q&z1@DxT^Ag
zr&_(kyU48Hcux4KEtKBax?Mxua&@TH&_MrEQ?Nfj=bf1xm!{E9E-wA!CxWDqkW)3X
z7S+tECeYXMfYN*Z4rp>znq10dN#6SC_lDbo#2iq_NCKxM`s0=dt2|9b^q*(?9-=?q
z2-%nbL;7h5YoMUFwav1oX2S+lZ%)s9RtS1}dg0?zYD5$i&p~E!b+{Wd?VDGNg;$XS
zkrmJ?5F~L}6SrGvYA2_W1U=(DKKHp|_%)gyeUDV%6;uDaRh*mA9Jo=v!>Q#y;wGbO
z&Q<9*sfx~>LQTTZ!etFxO_Y*cQc}rvlbUIVxI&lFoC)o7Va!mWe*lx}wTJEdx#^1}
zhIHquRcIz1^olB2PFLYzl$s^
z#k-4f-u?N;vop5z@qs?UxbdND-_KC$0baD0X1jzo>PAXr0#BEJu5Q3`@lep}jeW2p
z9n*Ipnt~BRhgDouvqCw(j$4WsPxOYuz{uOLC~9BQ;*#|rLYC>2KYTi#;TxC%xqAR@`7S
zucpAoo>j6bj+rnl{i2?J$@n-Hnn~~&?)*G43t9U_TlmjvNGEpAE5l>V9ubs^u~}gB
zANV)=WzaL?W!N(!^LuZpP`4$Pvb`A@rD>HM!ZDNyE6w*}>FrkSCV%bbrXOqslVf}0
zalmZEbo1g#)F8E}irvcGY}a5R5H+zAlG4@SMRSnojdNuB0$t_tbd>^}GYTIi>e0sv
zg3(xT7WpVE$Dc5kVrrzxfP;(x!X+`}-xbWT@~859A!ojl`H~KOoP|
z-mDl;UBa(tPT>w+=P)8yL^gaHluh|w{K3el$1G9op}}NlRI7^ryCeoJnd0pU7l8}!
zmRRPMZeN8+dLs{-jI42Il}O-DO4VXS^pzpIzA*s}r|Jrhi&7yu6dw_XNwk8^P5ILF
zi?*1C9y;v|YBJ>aseR7IS~nkCA@rZLSSLIPF@86UstTW;kdu{gb}0vXk+)WlKes$h
z-P}$h1>PNbpRB=YzxbR-Q96NumkOxf(xWKW3Wl(q(a@^VTqT|5Q22lQ<16cU$VP4r
zL~+Gt=C+UBZ4$#t*xNQ9&sC8#T{t}qc#I!|rJv%lx)aVcYb@qE4oX``UKxVGTj2EU
z3{T0leq=;0)%)2MVsUY?Z)nH>fVf~EkV}35Lc~`I#H$4e1THcx_{Zx_R3G3w>PSJw
z-0=pKdF_vP7p{9bakta8E!|7bE5ot$>bHQ0DERd&#_{oSC#o3gHp2*G|k`$kUF7fR*73JJdt>P?k_E`^?
z>A%%K>(nbs$yaNt-grH@YWG9MAU-OonN*{3W~10dbFz`g|9#(Hb&Y%a&s0GgqoU|H
zJN*zPH6i|S7}N9{R2m1uLV6=DiK1byr^QQF=Y{D7Sro)gxY1$Vl@brT3bS}-`sB-m
zwauM>Z{Lwfczk8_cXdqWRTKM1F0lP6TqsXbJwlt9M9!<(lXCj}jcpb!e8<#UhOM#J
zu1xrpf!=pm6B=?|oZZuz2aF>Mtt8mVNz3)&Rxe#ejQp0Gl$&KvVO3kQ;$r6FVMKl}
z3`9?Dcrzt3+R~{heZB1}8#$xz>Z5C085<*4p4wV7->S>a-BITfrn0jGEAC@4JF@5~
zeyJrkFeV!K`dSLyxVj!Bu+v5jy{j2)<7;-1NyFmG3pKKDNQ?=>UD4G>qm4Gew+4kNAgNTKG*Bu>NcCyXe4YsWjz`d
zx~YYGA(tCJCb)Dsex#5}e$saDguZPlg+V?kxU`jr;3To9r!jp}CqY}rgESb5;l)jW
zD&pD@zV+hX^!Z|r?MZ#1t2<)h$6cIFP0V)#$@%F*X|MfzOgwSCRIoNLg(X(J
zK?1PPvv97vv?cB0`)y^9hQJ@4fFB?FQ>B?XekeM|!ExTW%_y~q^b^yso&Y(o8||f{
zX5qmhSN#10Om20ucxFSF_TlhPWTP!k$&+yd6!}Z6XfkP2^ST+qUD$RYHlhy9h;y;6(l6lww?pG(TO&!n|n0TjBLs)ViNb++a`RD
ze+2G?H)wQkIjFHQJh{M#vlMcTeV<^AQP
zd~w7{!$Aq;&BgWgHi%F)0-0Z!n3!YB%i(cxGu82#r0|~v-?+dC;o7Se$G+S~ysQFk
z8r15t`^grlmrbhG8a>m%8DakSCvchD9wqVQI4N&9zOs!?|GlM
z(K9Y!A#$O!i_%!4*QLjr$sS!l+>sXDDMD5(H_Ni
zwHLVKx*Ayz;c`&@cz5leTwt;3A1s9FG3562+MkxOD(u}CzD|TqSG7QJ$xLi{f
z{SdqD$kx0^&uk+WwD?ErLDJe%CDOT!rK$UN39Zdzerij8%d&$=-U%q3$jRPz>9hEY
zFpPtUbN(nEPtq(!KuPJ@czz^BkBdV2e7Uas>HF2w3l~*kfU>vyuRJX^Yx+BMw*Cn1
z7hAHq1e`sS6W#4(>O64YoBpH0HWsPi?Br5y@3KlxUhydhpQG9~F$sqraIU{ckUdh>L^qTEOzSzvm9m%36YPYP$vdtAZB$lSbdm
z^T|t8Vq&mbac)UT_)e<(2xZ81PMp@~96Jr;^7cmasAoI*)Nbrt0c8i~Si??@tm
zqGN30l@8`zxuVmBe2mR}(bNalrGyj$>*LQ#D?VB$ENp}zB0~;6ppFR_9n!$(I
z0P41h7z8>E>_9r&!`odbrLEziM1i0y=j@GbtC#L`!E3_Gr-`!K=)L1CLtcm8ZwEFC
zTK|Wqw~DH(X}U%sxO)hm1b6pf2~Kc#cXxLS?(Xgo+}#5kcXxMp&fp{+vl7mOuVQlM^{^^0!DZnl?Sp`bJI|;
zK+dIT2XL~x
z?h=&zEEx)1DrjRebyt#_LP8_Wz;bzdg_vbw{)wl$+!b*jny`cYy=|vas+8R87NON%
z5<~xSxsCUM{7B(b_JcGBYw$3dZZl0q(P>oC#jY;QG
zJhagkxlM>D1UF-h@>!(0?p8NmY$c9rm?Mmp`_=UNhQn571eudm09|F?KG38l%&2l^
ziU>V&Ea~8I6a5SW38_LfKQn_^Q}h)UBLemU-fx46&1z++QnMA%D9O;2++Wx9tuCQeuh*|C^EJQ3%z%ODL{l`es;);MU$aob{bv}r7RJ3nWL
z`NXc_GM$V<`&K)o~q#Q_|R_2Fv$cva*)y%yTp{q&6_i4{*C4z6}4110QY
zv-+Gqr^p@LECN1afNlFsoL9J96Ia4XpdFMfT(LC}$jGK2mN-}qT#n4>8&n7V{CMEt
z?i)IW=VV7P2;jid;!gG4`4)^UHc{3`OUhs
z_mtW?rC*<~--;Rcw`k2az3hPayC4=yRE|X4p@Zi&(Mg9eYCwp{
zM|icNEK{n;ZEjBaP~wZ?MJDge{C`}4r#}!d$P=rppm<98CP0+d6{vUrgoLCp%ws{{
z?V8Hl%A0e@WLU?^F5`*vXvpu}fSsH42fM|f9tjCZwt`%KN0WEDx$tuHwsj5X8460?
z>EF_pNF56T0P9x`?$F$YS;ce5D-%w0_C>nDxmM11CG*8}3f$Dz2NUUUNFYs;{s;SW
zT2sh}rNm!0_Y+q)=X3TiGH^f*OhU>N|0tnnQhdB2O;1?Z)Fs#Rjio28%0s_HzN2le
zwYMYF(>W=|^EouRK?fbpD>C#m+&poF(nyed(%-u=DC9y
z*B9GCqP5CBN2q<kOFOCUD9ZwSrZ^c
zUF~9bs*0G(67%qo0oUq`2ByQSQ6nKzS&T!Fymq`EmzKC&JpH?uJ~}hmBZ>|5rrWn~
zn|KGm6kfWhp?^attF(T%(jpXeT|N24L9+9Y
z`5MU6e1bm8s6db~z5c29U_5Es0%{l;m7Cc#$SB#mf4BFklp1NE_2wQ{?qD3>Gjd`$
z6^1Yq>(Sii=*`J%4@Oz%9qi@_6pbwq8w+YJ+}bql^swF|@#gi=gUiC6lb>3U5|h9q
z+E4ITGjekHN+rAW3pD`lw58Czbc>D_Yv+g(y*>
zp~mvmXR`zr6B}oWxb06tYo-C8X`{B|P{!1~t5B|UNrzTjZpg}V1Bu!_gDTcFgOpCy
z1Xwng;$j$@RpMBc)1<3*b_@UoSP>~H}rqq=T=M&)&te7exu-(nZncckfxPWPWkX)4NPtI
zhjBWe;RA|^rKMEgiDBq&>w#9<@%AQ*AqJ%G7V3Xl$?0UlH8*JN4=N11Kyj#k2v#OIJMo_i@>`wP^;tq-`QByI9uk7`m5kS?o;KsWJBpc-!J~X
zY01N_LZ!Or>0y{WYsVLc5E!EF82u;hb%k-feeQYgK5t;<_q7RG_C*vp&tEVKP8ET2
zdI3`QI#q(g0_d7*aTqWU=5)KEAd7?ZX=&ji^nS7Z;J|}t&ziXc
z(q#h{9Y9Hlba_Svv@8KAK8yzCHAGMr6BiE;P|HLaj3R1`Y|w@gJ}nx^ZZ~pM4KrUgMGf#4p{5TPqf*rVq@x;C>lB
z2Ds`Qf}Fx};YxXWlP?rE+z5wDVU9L
z{^V&-KEeXob6-_-tH-GtX^Rn$zc}E?Il{z>>z(xsLu7U)Jqq${Mp)Jfx8xL)c$Bu-
zn6q5;SR>mkYfdLKGJi_=S8rt^oV#pdBw~dH#80?u+x>=;I8ivX#bLjVBixp>0~SZl
z6{A>Ce1l@_&iuWhby~GQ^X)#R31z?fv6ve_I_2A?zlH$RS%~Oah*aidpR?!68vml45q44aps?2dw{?0XH?6tpyS6&oNiSviOAcSUBLhyS
z;&S=f+u30DqO29bw_SncwStG##EvUN0+*-MldmMJvNB}fxh5iK$H4d8A5lEJeQqrY
z-qCprX^4HQ*J|b{QVXwV>AmZBr9rJ
zv3cxF+U|6KYY7RTN1>-i5e|aTIF_2>pJ$ma=I<|~`;(%;CU^&r!hlqsP|xj7Xfg{4
z((?87)o8NuwOnqv1mK1m^LaWhE-pYQ%NUTX`Hyzbq2fV^5pbLU+#7lve^1jOko6ADRb-2is{?FeFgcCB3!pzv-PJhSAoAY$}M3w>b(uF3L;Eb
zY-_J;_3@6mVZHz&hHE3S&BrEfknL_8VCR$mfZ5Wd>%UN3Abg|(*INt>zL$G>0UPMr
zPr}#;#i{8l<^U^~RLWYXLaA)A$(9(8-OAy}6{!8*KWe{9dx<2vdS0*n3}@iiroz})
zJ<+?coYjSpqB#Q7q0eS{*ju{;d}rGKd~&lgr6X3{Cp?Bi3EntY`j=Jfq%Qf7hpE-VZ-{(Wk5}o%E9Nt5uX73iT5&2SbHS
zVxu=8^L+yADCU+3uEr3H6}^ojCpHNMc>&(f!Gn!o)MRBUkIZj%T1KJo6bzTcQ?ODp
zuu}4$M7SK4&Mn$?kj_308Kro8M1w+w;@~dqtp+Y$3K&mTQi1!FLGc?b#B41=)7WVW
z23FhEi@@=jqxIZjwrXvma5vEJg3|Bvjb4%{^R8SG;Y`Y&YO;2C2RRo0~*AOYt
zY=3W}hOLw)6(f1ZLd(klz
zGbCB=5i?J@0F>J1z@-_K{3+Qma9mn}>y)c~&MNh%frB=!y;!VDD`mumXqG_Kbg3Tn
z7a|UZmqn*%JJi+HkLC*gngL8U#YH0@{^oPkTUckOTX>fDxqjy3p;QYOOeG(c#=1d&
zEaR~m-}Zri%2!xFq?m4M*!kwS?uIG3L5Ww$P4O>?MjwYE`2MpVLo!^%#a<;0Q*yh`
zl!`Pch(y4kC?r~c_Mx?8(kYFSSA7tnAN1p~EbWWw%M^WAhWlAY_qbQfG+l8;%goox
z+`5$1Bc-12(48U9SYqA0qgnW)lT%#B$>On1^!mj#KqqYggD3-g8bW^9;(&U8qi`+`
zEuJ^1){g;&uayz*V&dr1NsmBFEEe{{zGy%oB%ljyfBqQ>_GaU7y@H(k`ul7G?Pw~t
zB!BdN^q{E%+Ce;KxZO8+VUl5j3@WGumJ4@rP08m!1N24NGD}KgR`zII^@%L+f>%qrAh{=0^8y|i}LNWiU|&4|D+8O~{IkAz%@-3uncIAC)CQ7##lXMKM%{%kCzn9Jl}sttqUj6&-LPDspquJSb7f{2Vg
zU&Gy*%0T4ICKW<9lFvd2#D3m;Y`L-3ek+#=w5HX
zpyEg!j#wOy3=9g85_S-N8K{hF{z!>h<1}XHwZ7cZ1zq#c+5#UAWoMrjrt+CFN*@Ln
z;85-GR|89gJj~I#cbdQybqfjHyefVETeUNQiCxcorX8h>nr^s0=F#OeoHk5y{rL9X
zN-c|P!#4C2RI{T)-974;li^4ddYda1&dIpfCevS3wR_9PVDnC_*Gqu}$ygGow=R~1
zDMq*0`0La2T0)xL7`ucOpy
l!!|8qz>90C4=agZ@yD!_$sgZoBQZ-ANHp
z8;_H_zT7Ob7Av4PR!Hv6v5F;+!mEL1O*Mfq;`&;@&DO2?cjo!^VAY;R6-Qb$`5sIp
zD!nQTPx{@8N7cBLlGe;%Z^b0-snfrCK{aga>(i{6iSh6iMMFni;G#vV=kAh0(WrW|
ziw2{=@(gg%*ZqO<-@SKhdz&%kBrTFdk1egFvQjwF(q9MAMm4%UnpM_!>v6OiE`@x%
zjryI&Sg)qHi3DM+(O&z=Le&iD^Y;zyh$TiX^^>A|FP9gz_0+sL0EgUYG%}Z?(^vc5
z16wmg_P?6RA0YA_7Ml*CDlr{(eB(j{Vxkm)_w9Xxk0S+b*8#M
z-uKlP-&MgSkum@PUP5kZNCFMW6$(^vAjN+VAK#@?!^x<=_p*FiaSrT!c8^t%)~&N_
zV#c!W2P+}TbAQaVh6yt-u?;*r`XO_VSQeU;auFK4^XZ?oIQV%KsA$dV;Z#uoZPUg7
zc(F}VkI&Dwrqg5{PqS4uCX?SuE-5vd#8-Ige!Te?u*^Bj$gc|PnGI$8N=FC_S(FP}
zgufP@1aJiYVF)Y@L%07d)nmdC=UP)$X}L@Zb)J%acldmdzqdJ#>HX~14snTcqcgpl
zH&RnkX1f1MYy7ZfL+QqjB%w@ZbDUI|M`Y~i1dvrKVZ=kF^~Af1-Nlh|AB2mQlRSoxNg
zhJUbeCjVPV#xHkEklzxvx%ZqH4z!fK3;hVjrYTDAvTAA`}7*taQ=G-2oM{d$-Bmgc3Gc$n$wW
z-&GZN!=SNbQKMpSo!O(JTT{q)YfHFwyR}6!K8cNya^O7`)Lc+9Vl`SWtIIT!{zGd_
zY-78E^JOQgOjHW4!|3|s%vpH8R9&~#J_2N`h6X~tEeKUd`+q*#h+5@l1!sEPl!rMc
zj%KZ=-Y>6cQuy?ZfEExRL0)C0|Gz7v;QcZihO^BQyiMlAJc^4OYZN(!DM)^Od2H{8
zV{8WpT-8o8)0usOf7n?`$Q*Q^+In;Z|9hJK|9cu!+#_zzrYcl1((0Qa4nX-?*t1gl
zpE<|;hS(n|Veliw#O$+<(C>u5L15WsBccWVErDQB=vGCDS`~NiRMWAFwW1NL3@<2el|SJX;{3=nfmNnatr(dRsrh=~>Af6wIAr^klr|23}|b6+L1v#0uJVJ%pu@pwPfZw3>S
zcdh{>;qz_H$CWm&%hCi1*r=OB^>#hxGk3*G^56J1h{D$@<2{MP{d>ef9!Ae?Zv=MH
z2IliU=2eCDOPKTeznu(PW0$St_pOPyT-mJga+N6xGbAc=n|Y=+Y_{8riP&U=EF@|%
z2FsvpGYaHjsiM7(V59B5N+^EYc<90)jBgQbj&Gm(L7)?A+HDc{yO?DiZ+jr=f91%^
z85Gq2Rn%)ai`>Dm@-|LmZi7t&z7DD)%&Vwh=2FsH3*XW)bruQs1==l_myWeKS*<2a
z)o{Lf9?+4RLnZbcTI%b*-3%|q31Vl3h179d4XZ47JKv}a1@5&S?L$|SfoyKt3D)$L
zLobo^w^4%m>kw72_Xq%OZTk-W2b@I+wv|2QfSesb6HL9
zU)D~a9sbEbk{_gD`}>JlUgGp}=2^CF+=x&dWN~=>C3zEeBc@?|9+{qqMisv_`NDv$
zy~={t5tCYNg*tlq!obTH^G4ef8MxV9+EFczkcEJ3YVYqnwAr>0^@Kk5BKS$-$&9Rs
z?2VhNS2&}VI}IK_s*GS0dK5WIo{J(9V(qa{oMb~={_-U67mDbM`Yvzk
z<-)Saip{B^9u)2;HDx2A0dLy@&h{*sh0~4Ty)cxi`N+cVT{HfD*<;o0UlYztnll_hScHiVT0G;efs
zn@=T}DMrhR%4+Gqx{nYXI;Av#sbxSP*fOkPUpUy$0|@Wo%XY-{98lM6Rk{}vizQ+a
zN+|Vl8()D)DfZVzO2)w>2r1pr>fhMq9CDB=(s1=V_bg&_|GJs3{FT<6&#(k&m`7~v
z(-sun+I$x;)5e0)UJ=S5#6s@Q=)2y*iNXGjdK<#n0b3ijFX~3BJqC6aQ2j>OY5zal
zA2^)-Jw5HRWs1r4$5J`7rEo|Dnq-!;QapoRim+zPr8-!JVLUT57J^TauN~drv{pRV
zM`bnl&0r-
zS4>fHECJxH1iWp<`MX?JHQMj+Ggi>9j%uSzm^3x^dL~s#?Er}!EM)E9k(CuL(BG+E
zw0<36F&dB9+UU@`vBCuceDC=9YBNR>XlU>qY&8kDE(MXI-`&Q%vF-k-6=V_tPgW5?
z;y-6XMrHAE-fcPX4}5?c8tI}1Q7GrCGb_(>{o8Rg+mHBRdR~9B1vu4dKY7ZUf4iSb
zjXrMCJse~JNdVvqVO?K3>Tkw=K|ZUkXl@0zg4SB%Zl0#5FfX56kgAeOoep~DF9(G6
zC#}z9c{t(x&AWRa<1B0|oC$x5FDKi89{tEs{cyQf8lq1w1-?b;_p0iuy~;GS$&FiU>rY!7^wkFo!cvi{C`k`&^lZ@4l
zEAFug&w4erQ+dme8(Ey~0l>5Zv`VA$nY%o-P5gARW24d#63lUS9};?n|Cc^HRc-j0
z-0cZ`&$3YYIQ7Tbj?Lhpq2;IcSMRfw{aV*YI^NcK=1%^b0?i#^Y4eODbmH9LOtOAjCMw-_POd00OvijzT4H9FWh;3RxK(M
z6GzaU1r0wuw4h-C+FQ`x46!7aGe{B~T8g0RQZusWr@u@_OuTOGj#&elPExbjxfIc8
z_#)YBwo0nr1wwZj)3n=_(`^+^)fp(Y|A0v)BSk$9iLIZLrJB_CA43jyTp6h_L>VI)
zD5LrH&1um#*7&y*_#p`UbXRHbOZt!K7z@?6pV%v;ch{;wgfIMgo|GhD8UIAh%>mjX
z@~@~}PqrUZ!7xNPs+RXU_mnKS@G|iog%)ZF!M!J|OJSBLt1;5RJQqS@9}_FFp2F>2
zMv3M7CitL`&wM`xdJRpp4s;c~5ZcF{A8;Mu2>yRu0P_EJIn#dv#f;T2s$;hNrEqHa
zw(8w*)+PiUmQ+`LKz4aNEkMokT|liMHW?qAUo6Mdhly=6cDL^Im1fPey=raK-8yqq
zolk3^E?m@@hxEv7=`kzow8x@BFvY&sdz35W#JS5}OY(~GV;Ni8
zFuk8Hdwb!G8A-tDuxWNTvAzGYnB)fWxKU9%w?PMnezKI=yCiA)0ON+}l8(uXv3v5F
zVR;UcR|(T^GXGOtNN|>lplA~|Fx)_lEZAD|Dt5Oj=y?ytCF%HZkPA0elpSkfjRTZk
zmoMI@0*SO$MpQ%sWf`2~lV-v`IJcr&ry$m=@XSJ`X6S6_QRI(xhN)T
zjVGA2f4;|n<@znnSOzn=2tT1cYfsg`HR<@QX7t;!11q%u;wCS#u9AV1a%R1lN}>;s
z;y#CaVd%csC60EhJwoT}InUfz`>GOVV$n==Gv>YHW24gx-nlgnMF&?vI7h;a(!vBU
z?h&XC!V@Z`h&hwmgYtZ6s0}h5G$7{1wkd+x<
z?howfomO9l`xFy}JI8>=jx<9c)^m9^#UF(xPHN7Gc_^*=EG>8J{e8DQ9@Js$k)gq9
zqq`&ih+pCQ-~B(>15IYg9!gzvjpIFr1&H|)?-(qig;Rb7)qNs~s3)2x1ZioL;1yXh
zj=IpRJVpkrKJW?UUn${910#UD8G!5@#y`%_HlQ?*mjSep_WCp+mRL2@W`w&=p1g4+
zt!C{_F0Fui469c>mg5C#Yrsmma7|k+9xFc8;k7=z?(y8jt6LQ^ODn}X7KR#Yt%;fh
z6nOZHlU{BYS&;yXTNIgufk89`+_er?2i`2#OcFWOcbfwGLav~
zq;r(Y{)9VuwL7yrBYo3do6)L!_cOQC=!zbcm_(2j8QnYu^diYSgSVjRF@=79QZU1k
z&u9wmNAvHtAjPmFc1(>bV&x@#sKD?K=NNF%W-h188V#O
z!t-CXpDbEPQQHL`C_$dX4j1cHeW
zj}S{dr2RnyKBQCL2#RM)!vd~F+nH6PHIZVmeKX;(g+@(tatc82GoFF3hJK0tECq+t
zf#DY_X-J5(#!pH{
z)`i3Q=jXCPj+H9k<5uhR!j{qm;JlkOR^?KNqQwNfA1nu4TNaHA*;K9}YAJtDEr-X&(3K7^O?mR6%Dnc9HM6QwgS7iFoU@+m_o9H2+aW(>x5KD^79Hs+aV0zub`{S
z_jZK_6C$k!CK=T-mQ1h5ld(ZS1eEA)9N{>4hwj?+40O^j5Q@OunTbutW!k7;VdY}-
z+v3nlvnG%Svuwt*Q!ZM4V@0m%)R^_evHkIQNtss7IVnH_^&CDK4!QZH7c1GO{s0Gp
z9x=C)HOB#FTbh}@2(*^Em9aJGF`?d`o{8g=ZYns2#!K|Cv!bqh-&-b2=GB_%aESQW
zoxEesRS#`{;Zx6%L>%DD8w+17&s%MG8AH`I-u}G^;?UcwdP_2jg=DuB-Ik`uufdVV
z74vaRR!eQ=bo<+PhI9|mCePmNf^HEsg=7~VZRxlh_GOfp$8N$!ty;}-ZKX1!Hh#co
z4>f7{%vE9vE&(J$L##o
z)TTmORx^eemTRDDayR=_pYc8k`K4TwgC~;axAKh{zE^q}2bS4P!o+5=IdfnI$S>&}a^fPb;0bDhiyp3Sj9=XF=eOHcR@qE^us8O^YT@kf_XRz{
zDHympeCLEyzDF*fayw7%pz$PC*Kx1~%%7#SHU
zZb#1wS8H{)&i?EDp`!Bi-i7C!L2OBxX(O}?$_ee(ZD+<`D?a<0*fxavm$Uk1k(Um7
z4Q?PaYluOrDup~$0#~O*mqCmV=qpv-N}8OzHnjy;f~<<9I~B>)#Vw^v7GI&-ptPa!
z_M(j385Ku&t5w=(zW|b1NLF{sScfS~B-S9_i(uBnWA#ty9mEEx(?b`D#@|rPSV)x_
zpfGI7@U<1`#EnSBsm%*&i&T?iWG9Jf
z{uVM8RF%P0Vcf8s1O}k&V;$=AAPF?lCDbdUFlYf|s7a#!
zGZQfil?jFv)bNXvSPD)ojHF*beP{;LP||5p!cuy*HY
zy*x#w4gHW60QIvOjb|AQ`!Q(?GAb{e(wESJbdk^K@&|QtSp-2*cC(|%akkcS#p5Wu
zm%&BVX7w@B4f_lD?$@*>CiPTYOYStcPju>2t}lOg_om0!JBS}d4;;+UWBo%UVRsfb
znE*(-cCm5@K9)q)e;geh0BJ)Tqr4R6?d_*8vO2XStelWIRat+hph^9-yC~+)NARyzJ{M+A=>5@FSQ3hX09;XNKQ9hZ*SXwUL;GjWrme}s={3c7ug9+tqYDLY^>P2EF
zjb&tCI;-!PUFbirb)K5AeB5$S-sLQW7QEigFVF~U3rUuZCs4ge|U-QZ$=@i#JZQ@^Slj(|o$Fu<$gRLv4fDp}?#lr2fYWvFSX
zsw}N6%z$V`08?pU(pA{SB!MGz)BBdD%_Hm;SpX@pRL4N*;ZP~R&lUadzDoh)d_QZ$
z=Uy7ieU>%+#BHI>i(fug5Ab#~%xQ{>>l0nF%834E0jsa`mmJBFfNdLKQIL?paK5@B
zB=s{Is&NG0V|^1tN3i}=i}0OZ1HG4AoqmC!RYxp*dY_mhO3$gC%-m>DvElz=nDFlq+*g%Z#0D43DM~^wYo?q5wB1RLm_y%Zs^@
z`Spx|cDT59<9$75S5Y*rQMpFF0>S6_4Up)5PQuBPxXV3F=SwvGW#y9Q;u+F-`z
zF~@qcw5dCmE}=mFGx=r_(R&2){pslbyB4Rob$@2XdFD2C6s^u;1ROE%eEt`2ucs5-
zQfhVCGSZ(tl^}B$dwuMzbLtwr_2%18=In*JlXt8rJj*IZjYRxLzYba9E=qwei>E1<
zx9g+mx;Pe`)$5c)nk!cvFy(S=mBF-em&RTg<9YYput0K-bFGar;^NQc`?>p1d49WU
zpHc&17FB>Zxbi<3PxqwQgO)ETg^35zu{PjjL*6M&_kuJD7_$LxK0D*|ggqVrF}WbN
zX}bfbcviXN=1f80m$uD4x+?7?`hl=aJ!zh)nQ-49zt##Kp7gQ`V#cpNsM3>@T0r%1
zJ=4TYZh&k5voPXTA$`Cg_Hmz&=}58>Gl*`#pIUAx9UbJWiEYEB2#_{$CWH>2s5$zAv);^z_w7nc%1r5M{aekeOCznm%AJb2Zxv3a~SN(
zsnH5HeOg3{uvA*vcQVoj)W*-dXpBSi_P(tC+to?cX)Yt_`bO|5EBv598%-(7`#L*nw1IXL0drOK^;M4Wal
z7iSPqya{|!;`8z9PZStoq%QO0d%Hxnv{VB7{{7{l2m5nujP12Fa)cO_NjjBUt9=u*
zZJup-xd-45@_%a~sFuZ$fZzOeWqdLHNCVQ%#fXb~Q^$>LmQGDm{%
zNk#6F^8o^bIQp)Rw{4m>^?xcp5owj{s40+?#iCo&$pSiv+qv6*6NmK+r;%1siqr>4
zxVhWH(qZ`8d=Td6$z97;2CaJ6Nnl>m=CgjLaUp@4
zd=I%-f!0Kar;tX=jJSit*Y_9W#O2>tOG{3fu6rDS6@!~9W<3mUQK(Y@mV$^HFW~w?
zB)5SD_}P39OnG@YS4|tTF3laA8ms&3@^U+{DHXO{*mrT$a6QAOtywNAyV21f^6G`}
zVqJ2t73wZA0$tIyyrSEiJ-eYFjnnh<&m`^FiJ`6K*u~cNY;^_0;ZV$%m*Ds7Ew?MX
z(#5+u&QOGpalp*?mnU>PY3&}JiR!&duCD74w6xkFv2V;Nm|KhfUgfUa_4vF8b7@U&
z>7*6-30pjGX0#@kN@q>=?w^Dh-!y^T`DdH8Q^)C*%
znJ+ItwfGeN!Enyz_d(j6_Xrk-qa5DfdfcuVYdjvfWrfVH7;J82A^@-9^LpZMlcsgY
zDn+^ZF$``54i%X&*($@;_%9tzR7mey9V93LfJ>#5HGOtLiGScoEbzoqPw0R(8pz6C
zMs@P1#?RfI@Ypsdc~kwRj{(fcR!Ulm`g60^LWTg~V8*G?Y+dz7B4
z%(d{UEMMe7&LzuCC@p_7t3S*Hgr%i5#>zP&D;5p5J2E&DN%wQHxxwEvxET6d8`rp;
zSGVXKR$p!}aom~9U_u8J>(wT0LTOAOBOno?6Lga0|+Y=uzi$iy%?(8D&
zU?VLV)Q|L3`IqJ82sXGo2&?_PZ_0Z&q+zALd|gh0^-z^0EiX4;51Zb_S<%2QKJ=-3}9)-3W&M=~4$lDFO
z!;p|G3pD5D<)OzYpQfh1!=CpdEvU!zz@Bz<_gn$uoNrB!yM2Lxru=bnl{qlr<`R{`
zjZji-X1G80lkoY;eMX_NIigmL0Dr;Lm)zUaXI1^W`bIZsl)u_x!S%i#KkC8VdPk?;
zO0I4FcDCqIw;<7|O84Kgov8}YU
z?IkL%a_cN%p^QF#!0Ooba9`dqqH@d18PL|x%?qA)ss$F#yuOq=5bz?z~l%6(!3}=>7Tw
z_$5d7_pg+_XmhKR>?b*DfRX9o8ainFXR=uTt>;pwOrXLOy#CfiIi~Sab7sI2?4Xcd
zs8bIiH0O9+{1VBa)r+$8MHwqND*n1Btmt7%c|E7F;dE)_Ud+z!z;Q4+T&?3OL5SVq
zO+9c+W^y5e_?Z5%n>yf2zX3Ghc>YJA(cB$8!->373kH56gUZ|U33mNyO&pBoGxz)J
z0k?v(6V^Mjr_5;DJMT!8cWq2pcK7p7b>-;+ymzkN9F)-N^cdM|tW3_sqhZO@6C6#Iy0s}!Eoxb#mrArHb=xNkw@
z9R!)uoM0!bTKsB8eW=FFHb!I8*;ffhQ4i&haFyQ56Z%s|I#ZFAi^J@>&BHzR(gfd*
zMLDI4#La{u)A*PoN=rXW87h84#XTDFC&~z^sv@jEBq^R>$v&akROWNT5hChdl5}RW
zUH!#D9mXNI+1r`AicWaw2JZQ(?E*ajRcQj{a>ZWC^$#{rARoq<}I~teFUx$a8?t&^Z3=46Xt6<-L~}R?f+60hx+9zW~=AO*_J{=MV_Y2u}eFGHVDL6
zkoSFV%>c)e95PzKPwXdR%O8sKevz_S0rfO2pK0>8`#NsNldbGsN8ZLKJ6r5F`hU4K
zdYW9kTA|tXtZPK4#c(#MbQk}gzwXu9%p4?D(#eU)^9dgQLhHKw9T-F!HWYi5Tr@(%UZAA)eS8X
zE6j=jQGr=kZ)bLkZezwRtKBo_8OLPHS*fJzmt-*BHUi
zH4MX=i@tVoV7ilgXjp%@nCb!MOY?pAVYy1$n74=CXEfP2V6*+{Ju^5gRZy~Sd)scM
zCKIgY;PLAXynRS>82v)D`XoP@}M9SRvl3$RwBDL>2fv
zAe#qsC+O}vaM^MxRyC@g@{C^4l!gq$h`-owDe_Sat!myX5{?_`d-{P)=jXygITp}!xUmK!~
z-MGd^bv&#f6tF*xVI6nE11dDN{}nUYVG&3=pe2U}OOSIva9nBcB^@p4H52}|R_#vc
zHniwL`zIzG!&KdG+$>&d(xPy!y3a^u5Dez6Yfc_lk0=!Zg6kpbS&KOK+bK-McZJtW
zcXymMk%_Gh%WB-NXNP&evk0V3fad90`cMludCQ$T_o;;^c@&BhR_?4>lcgio2q4Kd
z+rn3@KVhbl%2>xkJxwkc%PXM91j~p%qn_G=A!ZUEb8nL+oOdx%v~M&2
zDo;sOOw3CBNt>_Nric_eI;%4#6#D!kNV@E#Ojf)iC9|Bg6b`bmarIbTuhD+rtRqbxpeQ%n9
zgp5Vw`Y{tA1eP
zuvK)8vlad{#@FRCa#z%j_2c4Fm4#iEfdTt&P<0GmPcbwuH*_%W*LYIgs~!<)Db4Mu&$MjWic(XToW2vUEEBDE8d4P)N@|pw
zfOidwjEfMZM*_KLUEs)+Pl=M)2D(ZKSe!qyzyG&H0lEBYY8&go`l83Wzw^s=Sy1Y*#AM?U0k^7&*C;LGlA=*bcA#
zTq31^D7-tKYwI;=%zIX>NNJfr^^a_oD^tM#c#0@!d#Pf^fBTCW7nNBepL=;b%goCd
zAT$!om{R$!sC-(mU)s1fGb#J_a)gb?0qFe6*9N9c>pwdXY>I8$L^ge@8mM&Bjun9Y
zCJg?_f({(j!j$C-k7tSViJ6IdxyQx0gtqrRPOqnD$>a!E4#oRBM5$RR$wAkx*LLib
zbza48>9sLOOCoyH4SoSyzI7(cE<3Fbt_bWb9sySJ&tGjDy6O4
zK8D4|$-QE}NnX+QtQS4%A+rtl-w`Mr0WWz`zKq>K2B_{}TInZDt1U~2B>l5AE))@{!5Id;jb~&}c$=O$1
zy!GlZzcbz2q3F0eT^_gr@$^dGv?*e`>`dFc90BEYOB;o{uo_3!+d~(x7|F`(MKIq+
zFyBkJP0=?13JJvoY?OY6e{m|xXe+$dFlqJ?o{at+FRmuTr6%NGS{k3kf=+n2UIpc3
zH||D90U2%ogdWBoRn)JxSxvvdF?P%dGQu;wHL7}+N@7P=@l`IGzq&Bqvpe@^HnCv9
zz`z!imM%TIRb%60i12>dO{OlSfWLnmWYKcpj4uOpgH5Zix7H(>y=}h>yXGtWVH`fH
zlif7@##&S=x1`qH7p>qI;mc(1jA_TA&~eY#N(t-mv)H)%&cv3sKf3*-E13SdyP6;`$pxeVl#<(>5REx&o)mX^6(x7Ur688}13
zLu9oO+RfPv7%YWpp6@mI%Vz&N7{ZgqMHYG6cj;RIh0q}e)~F_nSJySxPei_UVUg_a
ztk33YgB=X=>qOqz#N*X*SPJtEfR%i|gfDxYWQ|sqLZBTeNg#l8;X>uH813fR1$T=R9(^KdCNT2A=$XM7?!bl->6|j3@|7
zO1Fs8-Hjk2(#p_{lyoxBE07)$bordc$2Ogx>^PtovI&`P6C0YaKq
zWJk3Q-zxqRE0f>W%TEuw4lH}zPakfww3GXbkpDWqWa9X4?d2TneL0&F%$+@|
z9~Yl|&0X~4>k4Rhsob>qDm|>#{MN~hPk!+PUfh-{{PXpazWCWdV{!JAEN%cHv34zCZE!dwb&?w2q@HB
zc4?T$CiD&Oq6s&0&~En@vM6Hfg6dUq*Cy>uz1jLzbF?omSL29jleRWzt;jduX+}r5
z8explNTRzmi3LO$eo>qzlz@{`}On<+Z#s1n(;ciyu1~MJf4c5Q>KR1e4une
zle{SYa$?+dbWBo9D~~d0*8L(chvU7Bu?v=nr;V@!@ASzBE2xPM55v@NOrvW6fcO$3
z{}22UzZ5r^Al`PUVIj@h<{VR*TxMHbK4e68j!XH}K4p2OwQZV?Kvx&6)6E|&FG}&e
z0ihTB-osMcIIUZ^e_6SdKlyUY-HOe2O)vN2@>`@Zo{O%q_KK@^mS4g{#EhYcE{I+c
z_|fk*6jy9=Y{yA4Xkbl=?FW`u72KNf^|TT7V3L!vY>Q0}_g_XbZXGy;G7Sj;wltJ^
zG=CDYEiQib_$Q~ZZ|6z3?Oz+Bpm&`)Qy+Y1S`5>YB}>8|dHgkhX#CFe;2C?uH!0qU
zTyhW=IFP*ASloaGZnF!64yaQ45@J^b`EBcu^J>@+a7C#q;evrqMgmeo#uv=m>x~Kr
zcocgq$VEe!5G6h+wnUjiO1GNaN;LWK_;!im$PQru$p3SX!&eDhsOpomF&Kg)UtOIx
zC`YynKF5m~T?{6OVDr?xT^G~Nhq^SjZ(!T=Dw8_-cU!Q5U$(MtP9EH4NkOi&n((YC
z4#@n@?{)9(oE}nI4`C5X>P)rbp~l>2puSmqv%yH(T{fBfI@|XsMrxy6-;vlqEEWfc
ztYz%S>e2R8mC0BIA+=m^M!QA(S{8}Dw
I9?CcMqJrOXilf);5!RHDG=AdzW
zhK*R_ot@qbVGRo5`?P1pO*TQG6d(?5o0nKsug$pV4wa)GMlwC;%r2*{z!Fk5L1pj~
zHO(nJB}{@Uch(!ttnol__DOp3YET)&q#JX^V8QC0xBI3U=I-7~T&|OYw>O6UBWAeZ
zc|N_sEwz?{?lDOyDNg49u#`|zo9vddjC(D0q#|D{YYZHOh9=`c
zVqD7trYw~_ej>J52m*$GU#jI*(LMvr4-&()mfX~_wq4pDHT`mnb&j{D8U=Ujyh_15
z_y@p~W*WKD!aeM`0hs(&@(UqRZeum_@zL2W+Fm$#{(BxULHJk)&E%djNG^}3Jn&g!
zXypId05|v<3UBYP?F+NmvPszes!gS6KFeQjzOS2)sd;F!Be_;~bRc1q?mT{LZ}{}a
z3D-`zIx%qEK&`IKTm^QO{AFV($nYi%v3hrM=9X6X#&B#q7bcga$#
zywZne=%BU8>5Q#_z539j6&n$qI{QcG(ulcZ9=-Kvcji~Bb5_fGw&?vIGhL3XX{L{?
zQs?du--`fnswbIru&bUr@+aX~&aM!vP#|Vdp4m>#ti6l09WG8*F~0SZr%*Q+2gcv&
z40dMRiIaR9o~+5f0v5`SL%V6R3Qo<2gZyF+Oj~ZB{BeWsSu>d90KnVJ?L7JGbY^eR
zd{_PZTviBfwB`tocX{nfd|`JUjTM(bsGL%g_J2#1Q^pKxm`Czy1#9hhos7EMi{C|a
zpzQh|D$MIk7YC}FPcb&mi)LzOa+r_0WK6X7kwFGS2ECD!E>&kQ%zVh{07}t=8J-~whBqWi&{%d;?+no?HdThD7G{@bkykb%f5wW
zz4m7FyyJ@|}wP}9Erzcnb%~Jy1;d(os
z1gGyIDQ!FP+nz(--fSYwR_mR%K#qbIIKJfTrLBNMiJaK_$8e+JNf?D)Gha53X#$tE
zMWYmw|23=r2hPnQl{4OK0C!0%JOk%VNJ%)CeCpOSlou6aH_7
zC=OVT$VC)al>RnOrCK5ZOcHNOUO<&TUOuPq2L}X>LA+1El6HyLO*8q;ttmv{xXXlb
zI6#4U(mIsCPvB%dxEUcuP_Ae80wFP2z?Jbn#QfnQc+ezI7e|CKt@U`qlwKyORD;ZF
zQ~6QSq^N}Jr{-qmhcirnUiY#WA}yG-J?85PDgxnN&PXF?o8zo)a`!UFuS+(i=Z!3g@Rk9-nNQNy5YgEI=bJ!{X!_(N}ZTA
zA6)cJlsd9_-26zRa?&zcNFBB2!8VysNfaCtj&~qs`a|Vug;+~bH=I7T%{id+lA-81
zrKI1bZR_oE?qD*%SHwma25^&7Z~vZ&P)TO}nqc+1I$cQa&C>%z|G}HhT(g}vKXqE`
zzEA!rEua(ZUZZVW%?{LvHdevofmQOqd=xDSFMoXcTqkwzJ3B%?^t|aSaf>gV5^i#S
z?E!CAT<25~4cp6PEUDL_v-z7me0OSuF)NN9I!={y2BxaY(LCex)1oECL>89hH+afZ
zG^SsR+ICVd6xM5V!s-VvNa75%Pcm+YaC)ys^reg!{TM$Hud&pb<3&Ccw#CV4iz
zMOE~Pje4XIyLy=Fo%EP#jqyOe#6>6om`qGVR>uy2R>iA=(FVnp?MTGf6
zrY~R8vvAjU`b55)j`i$inkoPXd79`3P)-b|8hqKVrprNs%&k$_*3cOUTr}?*bSNIT
zlO?S#SZMC~pJFqUgB5WHH}r?wUE9cy?eXO{^XV+7)L`=k-2az$>T?;Yka8Gz>Tj3m
zb8fq9Wz>VIofINfcysH*mEZ_%`Y3(D{Lj|k!Gp4?iY66UoQ%4FITpZ5RtXaO9TS_#ufY}my6HQ{VeZ^nlZRwd|Op6
zNs%@rTk|IUU0qL)TDncn1U3(Fk;w1&v{JA4A0-mkU2psOUAPjm#TV=RV
zsLwTrXB`4!?RPbsRO0|JBY(J;ukKvZ@mdUjxbJlP{;siF9hA$I9V1cyWz@@Vo=6u~
zEH4c*ItO-YiQ03997JgBpHnGW6Yc%ZNJ;xDq$b3W99HLV{*?(||0{L>C@M`&U0qKyXS@VB!RN7Vx&i12hOB)xTs$$F-k`3^9&AcH$(}(K
ztls>d|8RikJV>%seA0Behq~y^aj|pGK}~+M{AC5%)zKO30&QhH@`r7!q2#(*r%l}l
z!A{Hv6Q*TsFY?u0zznkxS(`1YT*KPrNkbX`rBiIbVxx|EWcSaPV^Q^l%2~o6g5Pw(
z)gnP$0vAf~kZjQN6_QYCF^JW05mkuqUp%gDzf!C7gK
zdsNTRva=NQbzqwcahx%X%g0$dFjz7$?1nS1W`w48rq8ML%^24dBz
z{S^Q_RZU5oY$~17kZ!tg7sqZo<;i7i7_(Qyg?dxj-$dZ2*vfj~qJmgi@N8}7NQb-=
z>8waiOAJd!H5;Sv>>wqjWh3DzdNN5G~KOA+#%yYh*D`J)u-XDP;{&+e@A
z5m-fpzF%!)b5?4io{na1Z|(xh@qi&4-`A|CGOlY3!CFH8px`;xE`L$@G;t^M-g{pQy*$byaNSB2J}`DCb29PoR;wTXKBMHHRT{ji!f7w=xBtmA%{#z&hDHodh-Z|Kj0R690J35?+V#
zro5IY$BKehyS#uj?2E;an1@5YV$D%gb*q;j2|qJEb&0@zZ4Nh`n$@O4*XvZM;*^TT9@H}8n?wSZ;bWjv;9mu
zWp`iU9*m?}A9GjFY-6g+CUScw32>(@2%0Yu$DhiznoyxeDgC(_D#7#B$x~`-=AQ~4
zUiWfMAAo^~p;7;rmw@(X9&;rY;pa9OvPl6(T%q+wnY+30()I6R=v_C4$TQoiE9;a(J(a?1#sdW`6=7i#}mFF*&j&3UOz^r~N&Ah$1eNq~#L?
z%PN`ZiUX&8OJ`-9%}uT~i$T4Ms%QLjg}jx|LQ9*}ZqF`x9Ln}nPCRx_P7ne(hc;rG
z@gmrBaFAm5?lg`u%x(DdXj#l&Q;yz*=)vzZ1mi!mqD}!FU4k?bX)|dmx5n5`nW)Px
z8e@IVu(0r^#<}MRv^`E(B8&EN6Uk93i6oW{XRz`KXw}IK3k#y2sygLxO21vGd-Iy$
z%o*hN^YZK?^K>li_2F)cgl_QSd250zHvi!RGiMEO!!8$<$(m&?`RP-|{ACzDK7Op>6h1w-7~gJD^8Lj+3*G`*{Hfx!oFb3SdK
zjvoy#TnXOI`8@Hz{27VuH8}bVIV&u;`t2MQxJ-kB{{j@-W>3aPe*Pl-w~$J6^@Ih1
zXNr@lVZ`dO1@9lFSM~LVH_r}LK`n6C_+9Q?8ANXC5{9fKbn6$S4I7F4$E7Q0+_BTk
z8jWbjKr?YSk(a5wV_DmJE$lnB(Bs6g~T`0)+N@lW~D|OXphFDvN^0mRrb--h}Ovlu0Hn;1#s~5JN{zct*TG
zncIgBk<^$~7JF)(!UdX@X1X30MDYIcrH_GFn}>R>u+QaDYkSI6z;6iJucr&5^^J*6
zn&{vBTx4g9nrb(RS-!7axqMIyz>{eVN^Aax3Pi3BPk2f;&SjzTb&1^fr}>X@Q(^R^
zPyMeC0XEC--daQH0{IsVX#d-_8<#gEm#0)Gmz(yWb>n=Nox&{?E5IGzG@}oYJn_ya
zHC3A|(x3Z62r*zRqFGAu&96}@bcGPO{c&XK!=BUlprY-Hn>dVpv~HQr=;RMFW_eE8
zC7dGPe)}eHKsSiupE4E5cu0i0?ioqq62(dX8n*|$(-SxNwg!hn%kd%4CfvGB%@SxkCFSW}7|tFZP^hwsBs${>3RD`LaHh
z4qwN_f9nWeQc5dPuX|+Sn{^4n%iI}hSN^j3+
z>^^6c^U8ONM#MV{*BO5GO0vdqxDI?G$fp|Ak`PZbuxZw4k(%pTGYny@D$(x+SnZItGg>DX(ql
z;@AatrUi=Qz##O$LpRxFrmn{}IsfVlrT70JUtdC8fDwUYc&0iF0Z*-pKE^fph0#$e
zn>ZvTx?20N4vq|;GHyD&8Gg8mH?OZNi^=hJ|7jaY`TDh=qFqL+r@%9i>&F(#zu{x@
zAS?&uLduT!H2)S<3@ym}fhzc7X~5AkO+XV)5ykZSGQ?{9202o@a#?X-=R%!yU(2*t
zzrmZIKh!IL1IOU=TzO%7w~Mj`0=yi=bggum#weol{tKM32n%X
zN$RWDA0L!EUhL6!SX7}ad^Bj;=8_Z(#n!ptgV1aem-A}Wn*@}@>tzzC}&
zAY?vdq{?CYffIGr$DiJa4T0KsV8!Nah}`6uTP@G5Y6|Bw3dzbqhmGl%Exoz9O0txXO79|4;l?CM^k1Id
z_HOw~!>PeJb*B%1gPC}^3}SY9MdBv3v9DV0y8h!+W7rWUYh|jE{Gq0=Fg`)k;Ha83~pbgA92*`BNeK~05e0*S@8jh!HKE4n&x?5Sa
z57>VTLG=hU;o57L%j_F0@(rZ~Fa45LMk5G+w!X2aJB$4ieitEZ+x|0#@QX<~J?P;b
zR5ixXAT642IS>n9OiEa|y72$l+y&U7gx*iouMiS;m(58lSPuPs6*anU^P+Vb0Ee+w
zrv3wU#A>#iSZDFp--LcntLum+D%A-$`(vJ!)qX>D{mHoF1s=efA-S)q{pEsYHxha{R_^b4!31Y=SR&Zy
zA|aqw3qmKX*d0txYv~_Oa|q6D0jwGyr@_+qAdr;X2-@R+P=aS(Se{ga`*0&)HlCG*
zNzDI>Rs^VP!$GhN%JFQIXwLZ05t*ePkh%*R1R*j&e_ya^vW>-8H2r!iXY^r9knR8@
z3n1uAH+=%|?D)3?x`nquILzye42%^;-cKw&5@l3RSiwIznzX-ZjC#7Cn3eLoz3ZUx
z>h_wZ-gWgi2Pc<{cR1W9_-=&`z?sKjB|?*EY}?x~{Vz#R-l&-iHs8R_uCR2R~P@W%dD<2M7!%%VldiOOLIL
zxbuBr-ups%^!3;HX~H_K00cc=)wL#_NSONPUfloHNMiHf!TBvXBA+GQow-i;w@|=o}sX!N6i$``>G69)y%p5mZ)qUt$x%W5u
z5b@uWr~c=ISMbaC_w8>_5?23wft~|Bqt3W{bE0vR&e|?ucO_T%xu6|=oKoEM*x_uf
zVMSI23H_{)@bPoOArbe|wz9dY^pR$~rQbCS;={_2_3-BT;ZdL8MQWg+T)J(g_qY@E
zp2{8yTAw%yPCX*mC^=o55g|8T8WMw^11k_b-ZH>vl-q&2`sM(ck%le>Qu@`740dXT
z@O67#ZE?MyX29oz)$TB*5`s6)12o^~bPk!bq&VeI&01pUc-{ZX|2wCB!HvF?-~;@owN@Fn(vO)i(v$r-hg&^
zRwn{jqtCN?x9_sw!OFB8*(9FA#?Y$Ta+}t0S&okT)=R1!jJ2
z0JRx?FgZG2_AyV?I?Ve)Anj_v!Ax#PY8PG{)G5eLB7xRbk
zLh5_e$M!(5DQQQHWkX&IzDjheM}<_@tkCO~=K-=X%{HrZC&pfF3t-6IZfw`HUCn#2
z$osbk4sLXOCXUxNw6o8DnxY|Kp^=^6AN_`w%>X*Fk}ph+8{3?tIxJ5VU8g
zXGes^w1>UJ!<#JLydA%TigY4S11SY>6KcOA`%tIIcPHepertryz=^A%X+k=$I?(61
z&68ZeaIiKQH(ciIF3dETG7yi`E%d;4mrd~5eREJt)%GH2KKaYDV{_@@fSO$U=WL2?
z%q(BFh%PROpRy)80O+|7v?6&N20;si_8ED(W0nCT%K5Pu8!7SbV8h)9?xz=8EzqSN
zOY`w*8>qO$b;Q!~?{{?Tsn%MJuH2S^K3Q`Wd#>9%s+=kE{{+ydfihdtpy27qyXe^1<9%yy_nL8RgNeW}RK4p0Uip+iHl50PSBVa2
zlCWm{Uq+J0Co~7Y0P9sF#qU=%t7@xgv9xHG@7PFucR~~aUjfv{bSb2_qd!0LITFIl+1J3>TnG4=n#NfJg29#Pr=&c(Zx(p@v3;qQT
zz?a%!l3xR6QGMA}Pm>k$b$cJMfFG`egP!duA_R910TOzfL6z-Nw=ssZ8x&&RdmJ#R
zvHiEFUSq)W*`E>z$d|PH0)Rg%$A@R;X~UY`LMeK`nIDdxH@*Cq*>oY-76Qt*6OgH3
z(yTg!Hs8nK(8w!(`t;7kga%kc&bYL_Jx6i#J^$$FXpv#lNeb*|R1`t`dQjJz+!
z-ekNsdT)#AI&56l@`Gz{M6$85*A)OIiv0eRv`Ub(5o(BwG{#Q#ULO40#%5-J5$ViO+Swo-+47e)=87Kp>7gES#=GF^|^z
ze3m)mPr8+2@l65?%L-^*ak#oMp2WRAE=((`T_$RMT==VG@$9<(p%>0e9pv}$tYBc_
zJ^=$ySAr?r6LcS3s-c||7DFlp7{f_A8e}2;4w>U->SeEf2vo_|9-NWp#e6tnQ?;$$
zz1>$%P?(>84sSx?
z_E5y=90g^YYjLEd`)y+Ox&_%Wv)d7~+Y$i)F!;1di8RHgw=Dt%o0ZnAAH
z%Veex*X!^SS@>ZqGD)LE7K{OEp0-CWkKO
zQ6a4GC(;yixqzjI;uS_`p=kE+q5h;wBL7q8jXySV@h>*GQlss5g};k98Z%N;
z2tn`v$j85sQ#@>8>Y1f@>O@c*RKH;9O*3q%Df%wnwyeA6JtT-ofXzwtZE6yZTx#l&mN|vn6qk2F*~Vy&o)Ee>=zJ
zrf&GE4ez5vOjbLXqs9awJ=+r8lx&jXDYAl3ajxe-$QEFo{k-KB7{AU
z2SJwGvv~6*z)4>-Qawo$S=#3wuP%O-_4x7%$N8swRS=*c8V|{}3@`m<8(OxBbo`av
zko*O(KJ;e`Tq-mY!rZg+1{XCSb839?v=FQFs7n|rZR_w-3rNG+(B7H*F&Gaj=z&5q{BjTUJlfr_;-hFp4j^JMR~?0b(!SipQUMt@=M5a(%#nGQ
z%4$pdPfxos5mGs6Yw#YA%2D!a12QReCJ)A+s2kI*in8_|{;u3+6_t%*IB%YwluKzpX*+>eNBB(@V<_kbF#8xuC1*VyxA+iyuLo3_@r?3*9SB6
zw3N-n%S#vnf#_UlH*8(~kPj$r*=Ts1vx$4O>Qk$Wqys%GHtS8#lYgcWX4k6~@X0ZKoRAPE^27E%_0Ail
zlqhU&@RKiW^nddD9%Bl=)z*e)3J(k4FlJ=Dt1bzdvDkpCkM%@Q2_ALec=B(o$LVgI
zL3JCff&_R@ihuMwTZl%|d*}Y8|m@UWdt}2i+M^KLN`>YCiicb7S&7z=pVGRu!5Z8_uCBHs#Jy`
zX>^BET=MBDL)=c70sZW7ebv4^1A&G-)|Ze@U6zM%xXBv+_-C?hhT%e8K-ve))HhAAS25vebfO%}bm2{WuhW+ZSkl1ImXBZwG47
zaj_$bV-@zbpP3}@rg`mmdXtzLEI(Sx>n3y-OTQyv9>Cg(We`$x|IMIEz@X@jP$$VixrsRit>3@LLJ`MVb245i`fd)(CiC|%#Fb$|FpCV
zmZ`$RLY}k+EUJ)9svjew4tSO
zm<+Va4y+bs#}>TG?D#rcX-)tXaA3C0I>kASjn;QO5Xkzd6vcXV^Bofc5YS;^X*_+Q
zu|I-OfQJ0Ixapdnl9E!bPz4C*($dntq@v1#uBw3HKY5V+h68t?8GuX$q4b-yS4ewf
z6d6i%vf$mwx)r5fX|;l$R$Y^h0f7jufVc+QT=ha_q&NgU7hY9ih1O|QEcHRs;|A)^
z-M;!soxJ!Hnt8lXhsf+9{!`+|tGDAlD5+tR5s0ITycNYA`+l7X4i7`!6CKkvSJZS8^ln%y&yHrLviNoM+ZeGyf##MlmH(!dp@L8_H(O&s5
zBD_F40_t-*&Qp7OM`vg2Srm7)-dFv)UyG2Yi&X#Ot*Cs|Trfit2c*T!RMJUP7N3bYvls|K6|2|_it6@5t0g1&c`PmGTv)x`A6i#
zg%OC>A};l%NLb`qAD7hHQVUZE<=kS6KD?>Xya}#5mroVa=y0!%xg@Ocu(KsyZsp=F
z)gQV3xg~-wqWwT%^RKAyfg^Ao0fyCcwXmiet>@7~w}Wo%<$xy87
zvQIShijb{}mUA8p3-8swP;w3iRX(=FhKJicdH_$PPnyANWBxAC37VBl08mtz<}G}3
z!?LaRMPZ7vT|I#DhJtpKE(}PXzUh2l;OHA|xg62Zhaxy-Y(EsLeg;
z=!y(s=cEJl1E~~JpF=E|Cn$`VeoWa^=d5&Dpt@K`n3Wq`b|=xWIu!@(YXtI{EKlOa
z8`Ai#u5Ny?l#>~L7tbexk#av(JwYhM937d-e{=0SqA46#udZA`5iu%^OE87_cNrbi
zdr-WM5RbP@jX>?9Dpuja%g_40c}6z=#iN#Ro|JV5Go~QKLNaQvay)WU9zUAwr>hwk
z5)qRZ@NHN^^$6J6dnUD#^kF=jyV1qPp|RgGGmY*%2nvEnPe4_5{qtp0xE|
z+qI@+ZpY
z7S(2+D9j~(X$kem{3)?S<%VhvUw)kt7OE_7Qw(gttW#g_ioJ33i8U)Xta(_rtu`8Z
z9!pc^EXB+;sJbLVsh_XAFj4AZxgGbkGpx7MFEhViJ^^Ki`3j}8^&Z_Xh=#M^i{RnE&C93$os!axID)Vx;EA_gdA{Y2j7q3OO`i&6nWb5z<2QN!
ztsQ&5%gu22)&0ZtMUe`w3<7ByE^E50qf_G5X}i7C*%?KeNo$!n8uAS5o<`feK~I6u
zk6H882Ak@dInFHiPdm{lVBW^xk4j8UUPU$Tyfb7tB(P!32WM>6yd+y&uD>g8H{2X2
zm=2piM2Y~ACU{(yMWYJq_l>
zN6*^8zA5e-QRV&*i+)uY^JvGzB5*In8~NZ*AU2OpOiUav=*q6Hu8siTg@O;aC(hzE
zb3ho2DqK)ZGijYdPFPrY%v&`;2N$X7V%2qTKC*q;^UCF>u1rrF5hq)mU$E(AaToRc
zzSFX-Ycn_IPI2Zf!vwT)b}}hxwzt2?`16O6pIRn0c2jkcdjb&!b>mYi=w3sjW2wvB
zinswG=d}m6P4~`Se&5MchZvh-UDwu23;2uG{gn`wk%NjouQaAl#c@-1NnHpw4lZ*W;2^CYDiuttSFVxf!w&
zD&iuQ&&XAN*JxDW`z{8h5^Eqa&Sz0fnw&radb
zhz(0}iep8kMA_W?)mU$uEYnJhG_*%mq)>4(Y%WQ@&E4B3m!4*f0?
zu21u@@w3HgzdFaDZ3;X^NtOoVTx#~=Dq0%t+FyaHZrEm;ca!es)WpQ!^4QH=QRe6Ot?iwE)y}*ZUBr{@xLMw_yRmX_PH_kd(^KuvFa3e#
zQ*EMI#06}EztPt|r;jj+*!Yw4cxZP))uLMzgtL?
zDBL@=&qo+a4IUMvc527tG@{*-V$i`tn<(}9;W-h!ho~dL_SY;vR6XVU2a-pni?6*W
zk7~%}-KIh?C{||R-PslSH^9TLq@HbMg|j>EC}WWFw%p&{@VTEey1Ke@a&rD%S!w&D
zl=WUtZoTQ|z;LQSotN*-x-tzb(;KYt)sejnEsN#b{BbP8HLp)aS(EhO`r0eh*&g%5
zI*wj&TMtwSTbb{!MTHMXu~Yj-^nQCMBu6PO0xITm6HN>4e4AqAEzDqdLoyW1W(ou
z$jk1<12knJliY73+uY~<&;cxB_Xc5D@C1#e>2k#~H3BQMT34jn{}YYO{?7P#=G8{E
z$-EyCs;%{0DP6F$j)?Im%{uCYVK2%vzpi~{Igj}2Z^(vGmBu4mt}mU4QjxnU1cAu$
z&$Lg2e@Zi4Trq_$2K#CTSiEcSqU6WTcR4S+s!doujZf3N@!OZ?Ywh8>dI&~FM!vqj
z^NXmcwvhTv+GFWxtm>bfhH!d_@78+T)wAOhbBo}hbrC5Hf}`uSFh$)ZC(RA&j>ewP
zA7>7aT$2(J_vWJ|?4yqSx`ql_Do~wU%Q7!KEUOkuyUv03`8;{k!i
zthigrJ*WIGI-ay=-YC#%nYpEEP~C?_8D2JBkiu;c{IXk3yluk6-M0MBF6q-6YMFBi9d@n6sXwB)zck~YIrxkC9=+Kjros||(sD55rh
zXi{~moNwsA$``-kZhi3U!mxFm|0FQM)KlbSY5R`
zBvkF6(|m~yv`+OuuuNiJyTR9w&=dZ+uD}JIinFPNqWu&niTn#3-jncOHVa?xs(?Di?`
zuTe{qQu>72%KYf{O^3j|p5?)c%h36(hmz7uqxn!vtFvhWnin{`{n_XVyaL;5rPM^$
z6#YT#`y?Dn?p#-v=DT`JLt3#*JUf0xU|@k*z_KVJoM$RFKN&{BYy;aan(gvcy>~J=*_ZM>3&;I5QjsyEAYqs`lkM94s@y36tRCG
zslHFal|TLiW(IQP$j4^VvRZi%@~1e|y;#x7qAf8sdSQ05dN~v)oY`17em!3sWmIs}
ztxoR#<@jqCC$XHxqMkRj<(z3IS}QN7_IJC+C$48HdEbXVQ#x%j!6M2|OeC
zaPU49-ST#GeAmpPq#$vSSG9HOjKK9E1~T>285(Qhzj-hl*%{X)Y&inuCaf4p#OW{K
zE1gONQ0*AjJO;CG%}t8nM+=+-CxH@%aH%Fi?82%C3WOM3=;&H{nzOq*O^!nBOj`Qe
z&jl>2)V)hmaH}r)`I`p*UPHA%lWLCcT+hW-Rc_)Qc4n(>X$~8&+p)yh1rZas0z>7H
zVd}cYtr{Gy`@5{)?3xrM8f?VC=Z=%@n>G0%oDgmiYVYB5(!>G;K6cdx?M~$khuONw
z>N6eX*Q>t&O&7@qRieS+rc4c>gg+(r)E_X=N-wS7hL)r_H^Iy`POY&qRm9PK%ET93o+B(Rv?(zep>vi0*6P6{Kgf<;y0Lb49aA{ktf>
z|6H7{RARZ!6U}?i(QG-NdVd^y{4Pz3T?gW(yStg_mI3K^eHQ4&fXn@Cr{e!8y+6a
zHIKxapnQL~jbuC&Mrnak#N=Dk?-1>?9i**p+5eVEuVpSST@lmky1331)8c1l7CcJP3HJUvx1SnR^XN^d
zW5Z$8{sdIr>s-X`0=FNUefW2?%SV`0V|Y64Gs-S>nqU}m*yasuu~2!$o1)X!MCR)8
zVDelE`Ftk&-zC{5&Ivt&+jBsMovF33_3bjs?@q_~L7Q7ew&6P$fql!AJAPfIzZ{rg
zE<@!V-u5?tNgz9sxo{*e&u=^!Mif~ayqr<<_gV90D?U5~d%$|VkCM_3eqGy*@2AGv
zw0!=^R;7Cb^K*RQ1)KMgqW)?(LCwbnG=AM1o%$gB&RTD0Qj1$Cl6lSC{z~mLP$FDA
z{#!0_9(DNi8PIAryvZ&g4`*zZwvUQvzj>ZeZX@2@1*QdlSJkZ#_jG@5Y7P55wMU4E
zxS#}y$ix`KzPx&}H=8W?&XZ)7=7;@KyJ6r~<=E2ak9@Yj2yyEk_)Bjy@_tb?b!5g!
z(;k#(WT8!}`DWTa&2bs2IW;FIGU<26@T~O8{*E2^$TQW1JD-!gLSRpd8GZxqQBUB*
z*?bAPzvLy7LG#I=H!Iug13?ff%P(LImqq7$K#|fjapLo5fs__E;lrpgzt6uh#Reiy
zhHzhLpXocBi0^T$W!+vNZk;4D_*WO^T&be?w_{XhZC&|fPk{jI#g3VFYw;-U<QkmXl8OOOryiZ^(_Y_K8g0?hy@`Kr(zm~xi!A5mk11mQq
z60rRX{m<3E`Zo~?h0Q`%E*SYOq^00dWq!o^1d-A^_NHfo-}#do{*Mb#e$P7$6B=&1
z{jew$F`Nb4r`ol-j9Lk>3XFs_Z|8aYfS;}*d*rCnDO!@Vv4NISl#p8$3)pti{
zaf4F_Px3yfDrid$Vl#@uZmfUd;BU+I)nMT>%7}x5K8A+)T$6*cDMal-m02UExJhh0
z9v-Q3X|TSaZxn72OVflneKfC&x-vO
z+t*%bt^3PYv;M>0jvtyg7AH)b+0`VLI|5%+!3KcRP|K~v5u;i%0JirrD}m9Yur>TI
z((12*;>Z7NwVU~fi}Y#3u5hg$2;!DYvF(vY(!PFfh_QdwlyD{eFI(tt*t+~KrwKZR
z%)|{4nlJZ11RWQrL(Nfw9U6$W=7r6LIs6(5==)?yt_8Cj3(JQ$-R7z}2)0VeYj(Z&
z7E;|8zB<1IBs1WTg3d}2<12pZ>TTa>sm}GyS^ol=>(Jw}OnBU>$@#xaqhjx~jh|8_
z`#U`<1B%21ZlOfyMcK`XKz3XtYT0Kr>>Z&i*ZE0RX1G6wLxP(!T%Gfa%~$sl*bNLk
zP~-Fti+H|uu(;J`~3g7i%}5)?aGY+c)L+}3!7L+itfD!m@p
zr&Lrr+3e|IBSe{qFYjfV3}w0urO|E9_p7@NPE@UY3ABWU28|
zaw=-V+8P)toa3){ccu1+tW8aGYHP`?
zt>Z+s|FvD6DgMh;*et*ix%(TF=QCw=QB?lHs2E3j+hwo2a{SI*hsKPgZ;vM1xhuaS
z@O*zKSg>rRKp-D;G!Yf$sy8sQ;Fgl6*`DpKTalY0@M-8^zm`#x%dV%0>c9$kpR*-`
z8Bo}QRGnHjP;bzr3k#cxNeo#=377n8Ok73yr#0v-)ZK_J2|R13rh-;KCnPrYSK<~vw%B`6ukl1koNYiRHTQ7Rk<
zLIEXr-vLzVM=uWG8~K9pe>Ycfd0l(lV~BG(K(*S_q$Z(wSg8sfO2!M8%+lYDWu&Jk
z2BsGjlOMT%eeCoJvc;O{=P>m29FMmEwv@#3sJLXdmM;nO-l^@H_s)iGhA7VUisd3}
z+}wI~;J|7>8<8K41|`h;*JGwoGTWNnoXo$M=5Do_5r$8L3$)4VTwMi@_CSA{eBY=1
zD>WXy5#a4b`1Oz{-7
z9J9z$qwGubcGWav@Z>;H!{nbwIy|xmEK=o4=vL78;QYI#rwl4I97Y?b*y{*31&Bi2S0=nwpoLJ
z7!}|9;A>X^SSRh`#R1q^0aVdQTu3WEZhhLGi!V1Jqea{MZSpw8GnR`dz?_62|FV=7
zpU%I$@@kv(^5CqMT1?y8XKKnA&}h>3-KTFH!nIFc9P1dGa)_KMbWe8KMGEf(LsPrw8v=kB;5tAfrrK73OH<`$zhvjf-+Sr%rAmQs
z@bn*k)tY!7`}ler8i0mt=9iaa(t?7ud~eI2mphS#QH;88OA<3gEh4K4s0(^Cy2krkceze^d=bkG!{MZvY2!rMu78
zQm!TxJa>3px%jOXcb$Ci+vR2-3y6KmH6X-8?wHis2VBg)5cMs|QV89`z{}ZHU2XDA
zuipCCeKvF>VpJF5PN?t*o4npB_uu}By#LQm5dtjv=S%v}kr~?F7t{7mRW@;hqsCcT
z)nV1{Vh5+2u>0OXK&ju`!`|$$6cuInUhk6TPDBCJX>NeIq!!lG)$~f%flD#qE^L?r
zm}IU(M6myyyLYqJiTLKol=0Hv#v6iya&oDp{&54p-ws!f5%R)%^kn`Slm37iwgyG_Oj6gsiw|2$r>hl^>VH&CJ$-6e{&viukjG_^3?@a)HpExt|W+8
zjpgGsktFHaQGAoTd1a+YP5MPLQ=fOT@hI&+QHqxfk6Mg8h|n2LT`cj}%AkW=)W0;b
zH8SJ%yNYo6K4Z@P{zS&{2CnchLSi(nLQ#!afC-`c!XXJzrDS16OA7%#Kz)`BCy*>e
z=&P#<6O?dM=var@aRl`Xj>AQQ&gdv?Mr5mMCjQJ!pBU@rJvMQES#H`{c9j0A{>-%2
z1)c#$t_?n0wDlx{I3aWFsg`G|^EaJ6@4^~?5oHdQm7S*Ar7rD5le@RDD|X!X6{Q5~
ztA3vzk2Ixbm(@qWeEIscxhmZp-Jwr93CXS@^?CN)FA|K
z-%S9K@5inA)#ZYg_~3H<(@?4_etkr4jFhD+ALcI)SBnd
zr{fFVf+E!me*oDk_sWS-QCLLppUdkl{?DR+)a5pjOjs;#gMap?ylhdQ#Iwwgacw;wMix{k~4$Ur-g`71&Da5UPD$*lBdx#NMPMr?BAnG
z1=ZgZ6Gup0I;aM|f?!BTf8m+di?rW7cK#ezC3A*)yllzEZKqNXC^kBlIVbye&TmeC
zqnyY6-7cz4peyVLhiHxc@$)geNh5hZJv7PE)wX{HBvLyNeRF@$g|v*s>smck{1<5v
zVb8+}S8C$o%AKqTV@N~gl4;vVE7lTca^C$Di2481f-oTh`%?C=7CFD)5Fy{~PoBM^
zE%J%4(!a%JD(Qrl6Ttq2es{QWbv+0EeaDGRou~3%u}=2**o5hJ!=#R^*{0s3zr3SW
zy8~_t4#rSyQ_`H?uM5qc9l#ub_c6FIrJ|;^vQS2if=?jn<72lVqm|Ls@}~2R?v;Wu
zO9r35#9}e4%<|UZ4bYKjZ*Xz3xWP24^Va^lSU)N>MtEi8HbjWmOuKd37D%svu?=Lz
zAknx!j0wCffqo5ssK`XjaZQ3KqwDL%FH-LNCyWdP>r-=z%gKtu`d%%{XzW>$N*&=5Sz2KAtu&3yXZrQeu+sk!s#+j
z=AG`3e2@PmpV3iv))Eb9`R`QU@{28@bV=q4QkRmaK|FHJOprT<{S1CGIDq~cJ|ol@
z>!Q&Fo8&WAj&=*U^0eJ8PAa&LZf!sQQzbF@z`Wp;n)(|RBnhB^qH_p`;PmgR=jP_-
zovp1e=f(&@T3`5T*b!*D^o!m&FMw*<^pci?V-OFpgJQhU72xMi8xt6L{>1-diEwgR;>#d
zCP=MRG)sBgo0%#Fduc{1Cox+%=EI}q_5q8J)s^NZQrYJ~lnbL_e#+G5?;-o}?%n+g
z+9)71e4e5LGp*(B)S>Iqs)e-Fef9KrlcYK5`Fo?r-LG^|kaSZp)!py-sb#K-$wBsP
zlX$OUqx4)tz?f0UHfZ{tV&rCf)ZPOuD-YN85e@$=&GhU4c8n89@`QY)JC>AW9FaW%
zGvxma6h2}4le}CQDJ?^2yi+19#}HGqzxeg*LE{R=<)y9n%6#eX@i+Z5DFrQnh3kN1
zc1MTn%!!WRKvVrNyZJq*dkdvs&R$s8f05=P-hA*$!3lGzJw9w*G06|pQ85yFgI~Y>
z1(M15hyG)?`Wd2f9-WR9M(Phyfc{`YSv9scQ
z;r~x^@b*0VLLL;!1N<(ioe;V;9W{_2l^yaGV|Ll%eqQTYMyLvaCB)kR#`C_Y$a*1E
zjILb3v?oW7*2nuskH$;_!ALDBnQnT0QF93d07@^r92H$%skeq$`(z!9lZU6EaV!5o
z9$1G&dhV9QJWVJNJH|)--->*d|J5Yl)YNejZaSGgohLGe6aM#myZBDEnVsJW;F0Ha
z>g9eKv;yRX6kJcD^UDqG9cg`=5|Dfq4yU>}uOdX>5h}4n&xH9oQ>c8qSaGF6z`0ZU
z+PDy9hLhl8KhDB(?QjO#hMf;uKI*4wh8z-E$--RjYlsK&RW
z3N&<8tC}C%zq#>hyKiBA-MGpj>GS9B-7BH-Sh^r*v;vC5H?o&+-I~#S?U4(HVjg@0
z{J#BSbgTkvZh5=cNKt{-{!wU3%hX%(Kl@C@a<@0p@9x86(0&p5zqF}nd
z@q`i`b}$oUrqv`6+^^7+<7*^|vrDHq@Ef5fW{fnq<=k5lEAx0al%XciJMe;vp#MQ7
z=%5uIy1INdZKKy!IArO*wtH8cwxsa4VpS4jRqX?;@&d=lO?aUhf6u!e#68)rG4GxK
zNIWZzsH!oLuHaQ}WiC#<(Bt7Y>~LiHMKhe6hq9}y#89;x@pusE-SNGAYzK$?ZbnmI
zUMeIr;k;HN2{Lfj(ZLm}G~NGeL~PqFY@6G*^cv!Q;oG0g3=%q&QB=Hnm)#9Do73+J
ze!R9#!~1S|VtgTyh?=+;V?7<;<0D?(a`ET#MuMDn*;J;qZEv|pznfCRw4~Ly%+JTu
zkBIEIK0L5tqmhfJ3|+l{@EgsRSw91=dgsSY-xF3`&$IOYL2!XT{-g4->`7HkCTH4*
zo6^9efKIMKiYUO4_bE-*mnVh{45vF+C*aS5awMNcG0-h40Lv^rx6W=dY=@zoMyph4K{%
zoUamOK!u3I5JTq3@k|TljL;Dsv!mv$*RNl**sy{YfK9>e78IPAQWH#kX9uyU4QC}>
zN!#Jya6yMycS~g!klbq9Z&Pesw%27eqv1MR3l~=X{@sdZtgqmEKAqc*>!bP>|I7bg
zP%`_LlfGYi>#6?pP<-R&4EKLhXO*|OKfSR9%&t^*<_Q2IaKBu3Bi(PPuBg-Pq8^
zcHh~K5W8$038-r|=sg`J~#}n`FFC=<6X6U=_qSJ9c!g-I-siZ^|dq
z1~fG#%J+f6Jnj}PX&ovg$HPE3TPCt{->_2gn9nAyKdwV~U+9d00RH^RtB<*jyfGZ!
z9uKjAw?S`mTjLz`cyYYk8iZwR=OC>>eRo#h_fp%uvA%YRfzR#!UKc(m$E{AI2zbU&
zK?sG_QyY0)DaDkG^z@xrGP?SR{?47$6&V*UfL^T6mu|osyzSqwB6Jc32B^>wlbpWj
z^}p^8Y9O<-l5+`XTIaQMWz{ae5aS^`bXvCdv0=4e}xx%plCIn9&#RS
zcdd?gDFcfWmtFInxT+IK~=9miRqf9rQHt)lj;i+EwVetMx
zWm(78_I510qT%{pmX5EDnHf!f)Kh-nig9fftcIwtQE4B{HyRl<`gUwFbywMwsnG&P
zkb=yO*S%c_ywEwkxj
z{*GBKFZw3GZ{F9H9M{IH@_-9Lzw@8>JHqd#H>MM~@iA7QF01G%BS=0DA3k|K;1+vr
z`N8=O+^0pJ=G<0vltGf2_fts*cXsV6L6%MUZ_Tdt>Cz2L{|Ek2Vevf=^Ghrj;>4z8
zj6*o~;~4HgM1xml2K(Tv!E5w`f1F0u(zM6_D$-hG==4F55@+gwEPY4;EIzlp{!Cf
zS}ObEt+o9kHVRCiK5eMEYJMe$b_i~mC{k9}?2O^O6IMyrDs9yys07ly0QK%b$ECay
zP3U0?x$}U_BXaX$ZxAK8}s)5a)@W
z95{E#-C6vN7OoH^SXGFf5QZ5}{Nh-&7KqA`nvN78h;EjaQkJ<7#%7~%7L$`rD~p@{
zsLaMYB$_f_f2aBXk{w?YL5l;5RI1y*yB6uscdrPChljC07AAhO^JNSzT@=R^wv`I{
z#+BP`?>HR6$v`2oZWNG}{{Zg$EHCzh0uR~eqZ{8bjwLQ!$n~h~`U}b0!`+4$yxwrOvuNyn6?pirOiep@GS(Q2h?)Lya(qEY)b@!(&x=-6|%ltqYhCGJx$
zZvL$WJK~^nJj5fV=
zsO+1L{tqGO)fj$v_alC{+N8D!?5w`9_I8PIRICMoTd^EmpEVG2;oya;VVi8W`Zz7*
z=zd&!7Yoc399D~nHiqiYLgDWelH>y5>;mRQ
zEZNB~olTrI0~ky74iiz&RgwvEj>Q#Q{i7E5F;PLnWOPSe%epfaSqVj#)J{s-n5sUo
z(g1%2P0Gly_0sPWZ%0lJF4MOZD#ICp&h6f6+1aURAkAZq`MAeYIvLWG{E??5Zz*9r
z5>t6$BpzrDrr?3g&+Xbo3+@4jdrQk>_BAX_oB0)4DGM3e85usOJYikND|UXOrhpi*
zYw+&&q;CH<=f<`_)_;=f?VJL=G^K<@3sOtjNC)NIOuHxPK#AiynU)W0%+c6nw!9D}
zQ|$R-5&Qh0jgrRelB&yxNb&ddL~7)M;P>E73NCgMH%wjT&fgQ2<*nHmGZi6VzL;;o
z>4oqw@b+yKxT@eX7T&YiGB>LCBf;)Z8CxxwEcsPpk4t0P6LiPSiam0PrZZ_U|7LCA
zL{Vg-T0l?`ant1p6=%OXaH@0}y&W{C&aDIHjQaCny$V;Kk3&<&#v_d6fG-=KTx8xp
zv9u}H6#D*K-wm|LNC!d}P(pjP@2~zH2Sx(l^XX7-UQP9LS|QE0)9``a;5ZF@tv_`q
zBly=QjJXtVvSMm!=cH|!8HcE+U%wvBUwbA@?T1Uv5q%R_O4kqrLk2)`Z^gI0|9Jtx
zGC#4!wzDHA!KrJ^p$h%HiiILJPJ(5XR3b`dXwa@8acY7I(;Z{IdrL(;+^m*C-?H+2
zLg_n7DR7|yuR?=QOg52N)>WMpukw*jc3;?bt^SJ&NJWk5#<&7Q|M#qktu79~+NgW0
z%ve1eJzwoPLf9mgI|9pqy{$Ptg+HTUaB4Ixv2Ns}IuB8dzt=v^7}0iD(>Au9k_rzD
zIwg_V^)SPhO`xac7fI~95S%&9Wi9ZwY~}3X4wqf-kEs0`yskfz5R5MOv~0QcYgY8*
z#=U87?~7ANC_yY19G=};(&%M%^aH0Jq{`{p5?)vgAw^t~W7gomDF&IeXTX^P*Eeqr
z?<67>D4}C7yXOwq4oDSl`T_>|@;g-g%%gysa(r(>BS9C<>nWAC=e{qlG3!@@qS}IZ
zw^_mFs;1H~a_G2h$73(kQ{3uTzJ}F@4sPxO7BbI88`&>tJ8iI73=~tDBpehLPMh}f
zW7P>odXs2+vR*`t*=vBw2<}=>zdgIjW>$fkwVlzMt$oo0@|D?&7HPjz9jMx`GD*3!HS0*mKH#VYQ
zwK18`d6=u_c!wj^4d{m@MEXfH6>X}
zHJhjsqLTm}R~D*wKD|PUz#2;kByOgp^tZL0J|NzdebZ>epEnF&S0&p0hMl%Au?sP{
zYcEvzW_t~uQ5Bp&w2}@=j)eyLGcxKUfH6gAxs)^ye{N>*||68|fh*R&+9c%M7Pqp8**6|y%%|5KBNA8g8
z{?usA^%Lt^KX?eVOwgn3n*>V~>!Z2&M@pMjSb8kQllw}c5=@Z7*NfFbtXReHpG2a#
z+lL{yByZq&Dqb!Lka6iNs~xQx?|0#vQSQqVln`pyo(gzOlG6ZF*IOWX+9-Vjo6P;3
zMaA9~eU?fHJZSsjRSNpN`IRh2-Chr*K1K=0DdPV&NWglwJ&N;EGo
zP5Uzh_~Kg7ACxyk7se1la1kQ-`p0QFNv?U2(;dRy$NX)rm+o=KqbudEhsBem+}($E
z4>xHVx2Iwk|5hjKIN4hKe)MpqYeej4Ym=Cu)Efl?;1*=9^CJOXM(BP$P?#adJ2Ydo
z?LgY8zmgPG=oegJ{VrwG(*YE675O}y38oU_Q)&&iDV*&?UiiPsI#;@5o_3fCtteZe$k9>A;F
z&X$^Vrco}7LdH4@KC!Mk_rVI}gxF+U7?;Y|+L
zU`>40fH}I0_Oi#vi1DA+t~MT>wHlj1B;UMIQwyVckpl!;zw=ey6kk&^vE%SiUFMQa
zhrrKK!C?YUhFaCnBhvKG^vT4z*UHk%JG;g8uqX^qFA`W+-80=e-r9)Xr9tSH4F9qy
z3=_d+RwBjm3_#*BC(!m7b}D}V<X
zxuxQa*qT=!C}W7%`eTs5n%~^%uFu|O)#B-%H?=TQ7T-N`Nk_{J5b>x2E9pA2!x&VN
zMe>S;IWfxK#Xow?Jcg-V#aDf!5Gr4N?}N5(XJu%-@Nv!VnD+ahjAC9E0zgBLa4P*i
zMEo|s={Yu^TkexYS>W{pb+VkH?VB^h~KWYbWiptgF_MS09rT-BZeL!;(xX(RfU
zd|GZ+_XseC8@=X<>BFY&_UGoM%MwS`U4Ey%*tZA#^?3`=m#+vN%oQ6Cd9oC~%~{PR
zPV9uvSc?x8);3|ji{5}|PN6;8?YA+J3zVNw*0Y$Jj=8?19}&HGX{2@1zRA<2f_=X7
zS*8!CC)j;s(&*$uk?4cUwA`F=z>jq{lC$Lb=|zbm3cj1Okm5%b+61%iu4FqG^vNyt
zR2A9*qxliSgU|RIXaQRU(Ejl3_>-Vx+MvP3+U48Ck5vuD#N-+`!$kx<{;YyWtv_2`
z1hTTYSuSNVr01OeuJC#Gs8z|2>$LcnYOVhZF?rGYAnZC_ZXpO-g+-DzE1%{=SKV9_
z>fXxgFhq6lX125HMvkx60N8URA&Yw(C@q4?K99bj%~cDxJ4I_xA4fOeu4@2GirwHj
zX4%W!6U*?*YyJ*^B5VobA~)*4sXYD3$+j1`8W-ab
zA4-?Hy4A%A9EX~&S4^M|&;1OZX$-9offS}!YOsV6OK~_HynbS_e~J`$mC@#=Yx1jg
z6YZ;*(8GqSuvVCT%9pCcDaN>HD6qWRS7K4nA0Zi^>;G;6#YxU4DwDeJeHb5qzUe=r
z8q2dVzutCk@{PZ44J7gy9+MhsKnZAdgf}#y)&5e%Xz|?fO5(4Icysrl$!|f%AMguz
z0)3~N^sEBr8Z881CJ&|-Tk)=5^96OD;cA~!xKYS^ANNZi?eu2Cv;Bd(Nb7AayemHL
zg&8fC-J0?~^iSsvgp!5a>bxlg*?
zdQh=uWy_0*QZJm_T$KcBcirmw&63hmviroVQkvD|+4Pkc8dA@Xbu?CwW~}9Lu5-W?
z&fBGD83oL%{i=h5gOVFr_8?<$A;`hroH|v+T<7Vn{Lv-G5mjGp6_^cL=JPd1b=*v)
zkp+3R$jF;#kN{yUgj%2Q)#CO~Ia4f<@?kjhq4bC>PDE^mOA^WdfNY_7u
zDTJ1|W$o1ye?hnT$XhdhXIb(hFaIQ$F2ZPTy}2T
zk_DKbU`O_XHn%pxN=cgIR`rL*zinCA1H`OsPax+AT4okjq@(NDE-0koG`l>!*`I9{
zdD66sL5*e@`oQX5#Xoz~OdIBfOEf%VBXC{#yctl3l>$K$@$NenOjL?SfwWSGJl?9*
z09*RYD?9+XL50dxVY~lr{0OE%>=K!yZ{oY(>P$)Mtz>zxyjMxs`eH>vE3?lYK-@Qn
z4z;C11m8QU)Mcl+Y&p3LDxk5SQ|`Y^YhU4Ob?RN-1!n^%ni
zuJd=uE7xOheZ9Jt@^}EsY77c_1OSGaR}y7~#J}4ZeXmM-WDTD!g5{ScAGEe>Xs8gi
zWVdLGdSbZE6r$6H1PQ;JIDy{4pb&`tzvZ2JC#wmf|k^b62EGHXm+J_(>>-LThtuXTos3ydKczR=HjN6rWZ>=K*Yx>$JJ&#_!$oDf7te2l)!cQU
zoP$B#?~4G19I!gWs>+-I`BccH8uL!9SFCCJ1lF+Qo-W4xzhBk
zEx{(3(5DWga4!(#C38?vhMMJOh4Wg5kcf&O7kIF~Y
zNTUsj>Z4$lzwM73RY^&zv)}kYcc7t?rHN8I0xaKK4g^ZKP?0t&$VU}&DX)%0XZurF
zxAEN4&HPQkP$xA~VBCv^$v+W&q5uD_!HrnfjgH7NAm@C?v!W42qEO!^iiSI<7m-;b
z77k7$BcsL@UL|5Sc&FlOYQ7gE$ET;8Ck}3MfzZrl8
zEPM=T%{9s+hE7R0ymudsQ1ZRN2ROtxAOXjNCv3AOZ1biP6xoq)6n6*z$bN96IaY;E
zBpu}8sl_xyhVJA-c^6}_N-pske|`pfN<6pnbA4pf)9OCjX_6EBH)9L0i)I#5{_`)k>9yz&W*{xr?d^k)f0m}Nojqt1
z$Us{C6yXR9y=nwjuDgfEqia?$!)+Kqh1XGJ`w^$sFII=&EQx2bg=+3AQu|E3buBe2
zCO|@aEc)VykC5Z|<<&&p{&8NR*VW=qyflN5@w2Tb&+o_nf*C;Hy?#yRz`|q+M-?JA
z8rZ6eXD;ifi>r#O4U4VPE15}EN#3~LzjH?R_{r9jTkqe$jg>Y%xxD;}f0s+E3lFxs
z7$G>jFEYD-A@^R9Ayr^s07^ZSz4g{*gSw<99ACZj=O9(+w4Xh$iEjDbl;?+Z!@ISH
zkW-k?=~m_iItI0!DSj9Q4byNp{(-#wmT7n}UneBeP3(+*n7^%~AQOon7wx3kePWBV
z@fFvw=kO4&eb9PEo$puQAikdKWWpKGt^Xc(`cT4}#l^I{i3hf@f#aqdLn>coVr_zS4G^K{jb4g935a{2)Jzh%F|%YcP+$
zuXN)-i3@Gq6r+nF5t_0Id@d#yJglgvEN6`)5r&P0MRn&c1Pkk<>C=~g3fdx)D;%av
z9kPgrkG_)
z3;MA`6@m)23*W({g+lh4&q
z`giMP9~UzdSLhT>gd794`5LiuURxgcg($)ghwcnkj4du?xjS3gV^673_>)TcDxGFS
zq(%q&R2yf#ozKjo=hR3rB_Z3_Unp-UjSzY0aAA|E5G#v@>~5bfk}|l{=bNSSdS14_
zsC5^GHnW{C@9bnwOPf{rsuf7hDiJR%EiN{U6?Z+Ca4YdObl%1r*rm7FM&=`A{!#@V
zbV6Z6>HhKPN>V8Gm{U`unqD13PhLlScxCjScG+SG`wF?0GK@DtAkF`CVNI>uR$Gan
z%R;2OpGVu`R02%-{ofl{A0;I|lVf3}QQjr2+`zqx$UCE>W(pelVE+rQzQ|9IOQ=`N
zpk)#nrYD;IM(IKg$wA!u?1sx^NQ(C5`WrW$55Ls7&}fxhOg>BC6B-e3NFtI(!~Uz9
z5u>Y`vFa}=F+ac59rc^YJ|AE&)}B@?ico46jP!;;*+lZ9m+s-=l@`qHAyD1epVZ}(
z#xfNQW3mhrr@g#NF^E>AjDUBeuA@d|l0sagWed*Yv*8
zbJi&iKK}=&;bd;kQlo?YKsi%8(y?dk-fb)_^IQLZ*(X<6vzxV|u;)GX
zi)=i9>w-@^Bz@&>7PQ9^H#@!=J6Wr?d8)$5zD_hy9NpvMLiww`v*^-aFwZJnoytWP
zcpj{p=EvcZVc{eFHo3BHG+axUJAWJ;5Ve=TXYgU$XPBhoJ=Bz}#Hss`?e#M-NVj%4
zk0oOcG2;}2KPucerNcKdDg8sAt0G5XDnA25(Ynh63%_0^!%bQpVB25=hjyKrm4iR+
z#qS+jrQe4Rkmfg<(!mLf>cTsqh4OV|2_A}cq49&+T?}qc?4%Zb8d9pR7P$r#+D9;-
zLtnc>L`JHp*qaMnw;x^41Eg-RqdjhNUsi4)?m;e=BOJT*q#XryEy<^qqs$J9MwUvR
zA3mCTv&h)lW5|9{-eSmWb-v_&NHf}~jda^wZwL{0k)f?W?5;vp3(6lojN77DD2BSI
z?ld+cGE@7|qu+vYAYj_gMa7JdPhpDh!K~o23GweTPmEpeyivEE0@CcY7Xf4QJrK#X
zM!eMsKrHh#iIl#0>Sblr5$m|!(CXEV^!6$APptFz;#_j}Bx@1z<(91x;DzHKVjR_`
zzkR!h92p2xDeZd#EtD{II
z+as5-;KAJrR=3112?+vU+?{eo4?L|xh?3Cf8IyXRrM$RVEls~;UV&ZZfj7a)#%{Qnx^1(F!vVWh67QZ&g~9Zz?MWx~-RVqjbSyhuf#21J
zvM}%C`|Ks^m=XJYs~$~>V+}w5;zw$7ad%+b#oD+mSrXGFAB*KASdwT6;~FowevJ7h
zXJovslMD$)j0$IG=wkx&o<-z63VkEwZXrooYD=GNhq2sP6JiaAhhaLvp;=sas
z&84JjjP$!&bu=-H@tyMCL6>VcvTFGq?{iDMyRGg3cVjDNYH0_Q9=0
z&LpodqZs9P<{|Pr%3D81ESMhun%5BWD>JWZ)b?~~{RI;f$^!S~X}cYx<-r$r)GtB#
zb(3xa=k+le|4o5r9UYvL_Pzc6p)Xy#2`_8BDZhh58{?G{8ST21(Ri}=%XDT$!)CJT
zgQO>wF>2(>=gzOQk;ia;lF^{ww$10>5*rsDj=t90l
z!2&E@!DsY%e7$Q2<*ZTmQ^}z5)vsUg3N>=p&;l1!FA5%wEQ-+-hZcrg?$;XO5$=v0
zOYd%oWo6>+$sTlNOrz@2KdD`FZ!<`4g3~uz05=m^JpHhzS3JSum7oU((B>#4S7)vL
ze0i~wZGozLrY9B2g{borI@}sj&)LxMFu&ia%wgHJAacFAp0J&ByBccr)mOp1yQ3w?
zYiFFqxuj2Brycrgt6=D}X8nefxW4WlxOAj;AdWe@)t|+?r1#Zyx9J+o
z#UCNFq-V1=qj*zC1A4thuKZM}o|k;?X=i3-+VwhrSxV!A~yY!nYn_c(kkn6@5p+4!dH@^
zTpH{Nj=0AqU)v4GIDCbaQrTq3bk^gR>T^1Ff7%w4m@f}J2j9Z`ZzcEjh8yBacL_yp
zj_evupep98_x2kYAKAUbIiW|D?Y^_Ht?E6USd=Pv&gf+@h;bNCMwQK1&z$#|7HdU3
z)rn}31Y_fG706bpFQeolZ`|-f6#CUsg(5UvZH2ZK(6Mk+iSHphjm01Y>HX=At7@+{
z4b~F#oHM#GpONz1=SUUMnrtvpkIk
zi%UgnCw~(Qi<>yJqs?+6(!aZp&9Um_sY3wKqroae3OHt2pQ3u{mA3wRGZt$
zm7}k|+|9rJ135KeoU4sc@xAyHDq&%5C7Xg7?!xNvCqdKuMi-IMeiK{<9&BFURIYXy
zp|zWfzIB&BMK4xGFHQ$kNU3N)v?Da8UHtqS4(i~{%&hW+iEIpgDU*tqq}JVIqq_a&
z9yT0*IAV?eyp+@adj^*gax9%XNqb!QG~=@i*qhxYY5iU7!{tq>s)d@S1Z!zJ#3=KN
z`F*^5Wz4VG->&4S58MC;1g~#V?J;;w5(;Ak-KDVFraB#BM#KzJ>=kVrKd$y5;tc^=
zYaA3b3xnjaiZTe$L{6heJFlh+4W1c|)>26i=RAHUqR4UX7{hKtDibMssvl>YIH7_O
z<^MIj+4AfLqCo?&v>#d}BHXO6MLetW_Zp=W6=NsQB4Q9vSlrLpv`?*0X&Mg1niBHr
zRu8NOmuw~H9|RDL!|MFdqZdsMmUGYJyu=Ip9w~BbQX@C_6_4to>NJWpV~fD|Q-ho}
z1l?xl+}H@TY<}XKfEmB9RZ#i_nL=Y$U%4~A-q65#c_~WeWJNBYGE}Zb@0LAGRXgit
zo_5|{#2*H3zk@oN&7BmX#MQ%EaG)G(@L{XAIm%DKqah7(Kmh(N|Hsyi*<$krDH$q;
zzdq{i+jHjaRJ(!Up(!>zb0yC$a%1zq+~Qj649WcZ$^Z#sXOuhwE9r~DzAD5QmpMJk
z%ITNMJ3#%czSB@`pF@c5`ruG14vu6T457TvqtVtb#cZ)J9ey-k62bHJvcrC}0!<|#
zs^I0Cqy$i5t+Um#Z~0s|W)!lZJmHs3+c24z)iz&RTcx(C-;QB|#!+Bl&6&2~T@#r^
zx$cO2r$d=nW1IJQHyf%V50=2s32ON<5T}w~=O-*`GIinhpohHFGby){T=PwcYT|tl
z9bE0{hs37k(hay3BWVUh2nDpvaGuTr35BX?1bWeE?8}Sk0+9}aW~OL^Sq{H_L3#$r
z2c&y>cWeUz-qA>}*J-rXJwQ`voK7u4eC#Psv!x_U!=-)1Ozh%>4OTFO^g0^y#rv_N
z^lVjL)=lRVk#CRv8A>)e+`rr#%(mhqXOWMnymL6B==VzD)0;jsoE`8x4=!75mQjEm
zfCv~C12Llr1pctW9Js|E(O*Qhv>qujxzhI8ZJe`pq+fi7U88V@kI)DLE){K?jB4mc
zl?EED&CNKWDj4L|#ezHJLo`-P5KVR?3(-pT5YEQ46DP7i_9-!4cG1R-r%5?|=?d??E%^)|TD^x)k_;5DZHTvGw8sX5L8y|K~?R{8_m
zXSuC|5#p;NrzB+2=Cd>S1O<<~CIr)hIq#_~Z`$WAw&P1IoAy|6_Dr~b{JhX&%u*)H
zFz#)~_dhQ{l+aydbZ8<8N0jub>B$2<{#01{Gb8TpFi4puGZd$Gt$6!%rRN!X(S=3j
z@Nama1-P>jjc#CfpndH1V;UrxnbO;c(C1fB|7MG-
zWq$lyLqfte{4yfOdVFjcrA_01#&j^(gvdy9CT0yz8eX?SHDNL!=UFkVWKn^kAwvyL
zXN3~7SEnAzF29YL<@dr8Nub+Sj!xFvXK*vh-~lm#G^MIGgwD5*=RNJ(4NoPIWCWMz
zix*TP>A}4#D{2Y9Uph9V+Uwc4@#_jk#AdtFX!91v%!B6){Ra>ICa_$rtr%WHyLG(@
zYR!hl(J3u_RX}<6nL_mzbzU&=)(`I*_HHkove$UUNb6}+$04W-p4Nqr!K76TKIti5
zIXh2_#!JRVCcVfVSswDeoH7CTkcKMHCT8rsadr6@REJi));;}oyxIO}rFf4Ftm#KQ
zY)DAW?ea@dM@FL9yPpL7v2C%kWZh@z3zSq
z9$EGCHH7=;k#`!
zOao7&vXUniSyq)J-nQN-ITPR})vJX^PFP3ws9h#f4l(CV)&0TcEi7(asBh#bLY-!AMVYPnMl>`
zy&E~d+$kI1L}sSx4j+%7JWd|ik5WZhSL1^iX_t4)PV-%wWJoBYgU4bSg$qzx4EfmR
zpJqAw1DnDZT*MpBH!ETdu&)WcXJS4lZuC@m55%iGp0r<)nt)4Wri+6Wv@!KszEbl_VY>Sl_FS9Z})J7
ze?0P*+G*-xp|bS#QT@Nqa9*qjcf(9L+Au_MU)IStTk7(SZ9P*##&Z(-J*Uj(@ebY+
zJzX8!dsN=uA(5wdMuwmoewigZ5nxG4^PBgzW
zg?4_|uF0hJ6`QYD-P!Tn41P9kV_MuyqxhR
zsf$L6B&0-sg8bg-3*Pz}OWJD)B=rw2DBJR{OQwJ_pUT%f{pdCO?~O
z6C={PxIDX!BNehtST3ByPVvoQKge7X^^4em@N*rXoQ*@CuU`aA3d`{FZz&XC2&%bF
z&o&Y6SPlPpkj!oTF4q!DJc081Tmx>Z7%~%fyFQHJu0k%T&nAg(Z!9dD;JJ6*RBG|LAZWlC#azPexn=>^d9+l&a1ga(AM|y6bS+>n%A$~ShSu8Bhvd^V4{oAmx
zVZ^c%i~xs@JXs*BaMFxkm4&wThv=n#71F6k6qOsidT*+euukRrXM;?m(aOlaW~$b-`5{4X
zn`upH|3C>ocUJbebOe-kXoK`c_dvPD_|N{+dB3pHK)W!@&A`R);PUvAKh5pySdZKc
z3SBQ65Jl|_iF${aZR_NYWQSih>TIg#6yyz-jM<1gcP9DDP?M?@YX*gfs%dvigdasL
z8eU({9g66JicwaVuY_tq5E~HQvkPwow5CzdPq#{88|{ETujxTuZg)9;vyncvv?%M4
z{~kBd%L(9(z0s3va%CR{*w}hZleOyJr{U)&AAYD|rjXF8DHOcL3h&+)X+@msS)&&D
zUQFVmkBPafdOGsRj*l9-C2&#T6CU`|Q8#G}CRi}S$X+wKP%B~io<95LMh|%^^e74KvYJ2=$Lx-T=|)${vKy~}h_3`UyanV9g@2=Omgw0*notdkG!72E=atL))n%%>6Re`oo9f&$&S2_E8JdX!8
znojpsw`YC8_$_1Rbf^xX!a2=+SWbd^+82li;YY+4T7sTSpKD$1)Rrj#B|hvCo5`t&
zz9;C!DFvXah9=IpK^K;A&x#t|K;9D30!lYb{vPC7DZdDI07CLeX>{-g0##jL8P}Be_fWxLJL>tKn9*sudmA6E8-yA$4s%-sT0P<%aLpWP4s=_AylfRJqS)+QPM3urJg!%XU
z-$quaof7AZ3z#&bQA+$3fHp$E8qmJ_AHi*5^A~7v6W^&x#|Ha^6E(IS<8FTEW0Bg4M+ww-FM);L+G`k7GX#4)j
z_fYWVC4Kj49~CsW3Rzt1F8F(h@o&49v!xaYdms?!u@qe^Z`IPF7-cKuz^q2))1cUk
zvybc$CMLI%Uup01Uyuuzyu!DbO)2N8t!g(MKJMB*o$jgHyv8C)G0y?@x|Pv7uRO-{
z3c&~hhGAl6Gukb{fWlFb<;>PSK_oZzhJO*-C`vBD!;KCn$Q`<@O@oU`abk4q5%k%M
zd?@AO2vaA#Q)bzZ!OeH6`$09kxKwIw;$G898euZSeJA*i>UF|{0sJDwACa?)A)*wj
zk{Ti+h8hqxY|a0BeEH-V@i>mj3SXCm@87p9k&OZDNgRV27}xiaqL=nCbOWp@r*G|r
zG~S(x0ssL76VWH7S0%e@NRQ(8XKNoMBylzuPR?b{uG3PDdh6FA3Mf%l`i4?ktS(KE
z=6U<|{cw!cHu6Pnl19;`xZp;ZfDhsc%Bi(9c<^NpwvF&y-=09#u76=)MMd-1mOs_OLGaI%adOp1
zySg(E!y<$VE
z6qTZYfFeaYHhL8#7@G7FiqZ*EY@h<7^dh~3Bp{s#h=>SCkt$sTq=y<1Lg3q%_c!l+
zGvBN=v)26cW${N=NbbGooPG9w_Ves}H#^V=ZEtC+O;~~2ajyMWmKaVT+=eu^QhM(B%x1*}#!UC&5+Tk?@>gBzk`>=dZ{~pr-}17)
zhp-t37b~lb`U&}eqa(Z;GPnZQY-hgG;^yjTHmHSs7K|eLQyA8!ZErc)^%_9-lpnn*
zS(?zE=v$fbHP<#?{buX7>2ss?CV6k-;xqc{YVB63DxH`K0k663^$Q0Omanl&?`%MA
zb~83)N~0R1JvT8qF`s&cw!*q^)~F|bAR_JY%~X|bnnr9bZ+?PSh21D7?(56mYe%2XvUsUl(_pr(YS1d;
zT8azTc=Y1K!yyMd#f&pAUdU90Bw3eujGsKPNf>jA$e3z>ZD}(&EnHc4A5)C}`5IgU
zUK(RlE2c1>PZVB?yjE;IMc|(aX)+h$;U9le;vl6(itVgraCtB<4p^ncfY>qBKEyip
zp?8+~vM^?AtIM}x#)%2M&bV!@drbZNBm4SFuNp%0zUquQ604QVrk-1Q$>-0fys6_S
zn<-mKSX0rW?k4Zn_~wq9N+$5PhQ;&xto|m}fQc}rLU&>5f>{`H7sE!!*?-NDXdyAM
zDfF5`7!%rjgdKUPkth*7o?K5$$4sBpJo8$~KiS00RK&}{*p?rFqz)~}p=zHg^VJ0Q
z&0hz)NV2A14(1sWOVrKsd+jzBYL6G&^$OYd6)6Ejf9TMmSRsp7Rom40T(kP=`4h)c
zYVjtD0by5*M~G@!@(}hFUnB~6-Sg}(@eXvVucVaRov%WNmq+M
z;P%XyMZ3AaxA>NVk?HU6Fe!Gi#^p!NRozHGfaY5o8KnBmbMAw2g
zj<1kJBP^uAM6a-^>U-|i*=&0L+{6>q*-`4on(S&t$ToRPfK}YXs8vb~Z&2OqOtIFmr{1Y&&boOO
zQ+m=IUG0A6Uk~F}3vJfj3YkeuLL6MG0H^`nm^HZ7tSj&8Gpk(J|MgAfu*BWDV^#jby<)
zO+0$U&n$eYLjH>T%aG2#E(K|`*C8v`g&XTxK)CdklXYTr!ye^X(y(B*Xughb%VcTL
z&sE_zr>?WAw{!{`m*rs|in9oK7jC{#pa9|KLb6NfE87Spyn^!;x2sz$0
z3R}+hDOwBVfa62sJEO0dNre)7Hb&XEvpkpobg5J-psW?aM|dy0zEYs{UiCy065HYA
zbcm=fl<#|~e=nrwvJf=3ON{z!KW{d1xpPg~;SzN77E}dvE!u+;*c|hV9nPd6@^aU!
z)6(SH^o<8U9O9e5N7dF}LdW2vmhB|+#ZucBk)1=>_Ih6OUKSr}s!;9>C}QpVnWSGQ
zs+sGg9+?Nh8JmjlUE)@YZ6CyLOG1nsIf8LFmRuZlPrTrZJL
zi+?v(>gbHvj%e2l-o+k;aSF3Sm}wiE?JHKHQq~9+W~|>D8h#YnbPUvcZ>;8^&(u4JUNQui+eWbYmQ(Q&%>(2QwTa*?+`n
zi!+Ba=3SvBHbO{B^_^YxSZ=-?mnIaKQhbyq%VkrYv=V4Y3Un)N!|6K
zprM(jxecjWm_qM9eJ!POx<(6&cMaNh=+>^9p2HzW@3^Q&!`!5`x4>E((cKX?Nki-Wv~qTdeg8DHpVFP_&La;vwuPQk|
zr$6_s1f-TvUtXzP|9e1hd=&e(mUOAdK{T$@>ORGGu+}^jl1dH2$9(k`KBWgYV{r-u
zCq&#tHSYljEXE&Dn>J22gL;s9Q`66ifTAkRou?zNhiBX-U^r=srTot(&rne
zIO?|Ow1#ixP5MBq4BV$Tua$?~TT;F6|L)o-^*_f??U4zQ!B#2%03izh&~T*hXSL)Y
z2jngE?17*GpJQE_D7C~wu)GU`=8J~~(3;=qEKk5s@xKcQFYG
z3`7>XRgt*nSXtjHipToWIGGK$L?-)|bs3wtX*6!dE^pUU$;r%W#>|(chWyP7HIkA8
zpu9^s^C~!2R^1lixyi<2*R{QgOF5aH#(}g`E
zitLLYzS8BYfwDiRiXDlo{GFMJR`+(XhnZJ!cdOicE|E`p-}4YE60`vbG!?r}p3X5z
zm5eH{k^@yk3hydms62%B3?8nyqo?`%hh?aFnSqlh4^bx!WGYL8cVB}7m#;;|-_7#&
zlA=wv>R1kk-0U~e%eZbvO?Bdd^!oQK=DL!VFlu8nPxYan=tTDRFAam8yu3eCw`ny(
zI-?R<+x=Z_5Cs?XGR*3Tk*A8g#5)1Hv8apNP6e2#d(<;0CUb``MQ1?$jEnWQIC-{T
z7wVGU)S2E*o_{HR@h>jzYwvbqrQF(i%)*
zX>EMLX
zP~l2CmF&gNl0~Y-sPN|bN?Pj`?Wf_3pSKqc*xG2P=dzdK0n`u}xi$TRs8+t0aLz{4
zv?!%d#}Hk1wpve+>K1?JSbP-cy*!y%kxbwhXYY~4{zz`^ssgP^6QS-vl}0bi*FUpa
zedp7K@NpySHyw_kuS5cAh+GvS=
z?vTi4-xnt>t+%`P?BScFK{cbT_53!D+Yt;UTe4J{^j(9F-8G1sCg|kliQ3-`_u=kI
zt#s9I?IO~Zdkvw0uA6GxYOko!vcGYueW*XRqcnBXV93pz0FbSPVouZ3XQ)IeyJG||Ud$4%p+FNf8}R2wt@kd8P!t7F!bP6L?3|e$
zcQH9NZ+;U?+xHwlj$gZ#(x6jusGsP_6@hi6qkHeOM?%Nz-NFkw>TFLbFNmA#QGs*}
z?8%vIn`6X6G@6THi~&0lsm=U{ONnUGtQ8_!dpR67kyXMO^qe04CjdCB)N|e|YlFDW
zYPhfVvu&~UeN&e%RuDfPK&o^kN$KFBLq7^zWpbxFGWi4q)S)MDc%A9nj;YSNK!#!*
z*_JwXLH0+vb2?vvkvIA7AZ{ivR>m8bH}7fjR77csoHx`m`uOo<(q2OCNLG=ft!<8|
z-OpcSgGY}ZiKOoJ`}%{IS8q9ymGC}rA4p2J9VOGJ_PUNozFhq9H@bMKiKF6yjB%~}
z*U8nGLmxU*q;B=E@^dN)M4clJQn<}QogvK87p_rX@JIH|Y0o<0hLcI{b)PZ82Vfx-
zfdUpj39WIXNEI^zA#UvK?8P=6^3D@2;8X|GnXXz|*S(?(O{-_~Qtil43oCyj`zhD7
z7&90$2RIea6L)%b(d6*H2cv;6j@mAG#j3WK=~q|}@EhX2-hVHQD#q2FjF*nj^*d|a
z`>L^Z4Fom+ph+Ek-p@a6K=bno2zYZ4>|zcF)};Z>how`Q5IBhtN(vOv@vtInaD`{z
z{@SNmuS+n>>vtgLeO|7rs^SH6Sa@XdUN<-L(mf~vxf~H5J_#LAl-1PkmO2dDiWmhP
zV=eMpb5OeDfVax4$1?dRzkh#e?crUryYJsx_G#!Uvy5|C{?m-)CfF1Fs3h)V?B6>-
z_|A1CQzy(ljIZ%2fqUwr94WQ=QlEAa#k+x2YVJW!o%5SLvWF9+EY{PTi8eUfXA6Vvd8UPGJ_
z4xe=U_c}%ipwa#o=H@!R)w9!sd<8n(=g;3bdGe%D>)dd4HS@{cC|ffmKOWUMliMW*
zTM%KgoBT(aWyOt32fFhNoYr1_%Q{P442}_sQ{ycWFS4I{-I=XDZhE=ELL4P5?tjjEeX0gyNQBBsO!2A__V4fY-E?%37cc(QIO0>SeqhbW
z+w4Joq&8B8#VnIC-A)6NL3m?>4A!LYz+?VH
z^h@mS!L4)0*-1VhJr;lSQV5vhM(ST^-u#~Iy$eOIH*udHE9k3SpKxJbS`_i}-XjP)
z791VKK10y#>Y@_4(U`*k3s6~th)wfBs>%Ln;W4Gmsx_gQjZa2qsPac&L)Zn^zY8OW
zDHR3+m4AN+l16#7Gdee_P<|Vu*y1cNLN{H4Z
zagl#!)ILmDNy7VgsFya-0uXq$Qg+D|jy$*~Y}LZz&OeZ!pO5Joj!+hR6bBf@XE|10}O@e6B7<|?IRuEL7%#qn9+Lt+%Dk;UwIGHMi@J*_x
z4N}SHUk_|eutV<$i;dn^pA6TTZXU=P>gwu9UD^UsD!skEm?
zUu9YIWS>x6jLfd2Y`vAzxsCdMNtZu5uMw(qu2F}ErB6$HUa@WAO2G!f_;t?{cPlJt
zT1ymxLy``6K5kLarM3$T>Y#DyhR8_Y2-)%|1I5>9{%x2xr;_cUz%8iK6mV}b7qXFX
zbp>zRrl@C$O8PNAK0fuF!Km$s;73jTpq*&bxRYn)pX30x_O+_D%ER?867e7U=R$Qx
z7(-99vEjK?BCTN&Lep3!-Ll;0Uu`Q^kG__4X_a2n@nAz~UY!6v{*^^Qk>pfSievz`
zeT8khH&ZRW=bd;&D%7R6;q5cKs?1d4rF@ixl%RQA4=1A7MGeK|(eqO)Uz-Ri0cW^a
z*0XRW9;wq&*gk0?s_8X5b&~mtC?ZIqtv&oej6j1ZC4w6Qvyn3dJtC=LDKeVo@ZokW
zp)vzWXM4RZzegwE&DFJO4Cf)G<%?;^tfv{_rnm@k^NyKbk7t0dZn=
z_FAg8DkqTs44X=~uInUjTbe$1bqPE?w=vgRrE6j`l@VWmr%+0gDHPbF@gzgWyslqNB6a;zVsm
zzXpT)mBkH+4PvFzv@-yzC!!k}fxt6g^yg
z3r~y~7Ye^7Az!&s8W9q5&wGE7m8$?;R;(~`S@FGgx;=Qqu3{`&dZq2AtI!`>4Jj>~
zIYUPPLP$@sX}}42VNl)@A?bZS^U10Tol%(Qs#C;htSa~5mD0pZk+EGW!vJcK>R7wm
z>4|@=q3%SzU}Q%QZA&XqIRPhQuJcP~tt>gN8iZent>KXHv}XsWTR5@O@qV7%mAECL
zV#e)~t##>GfC>;Lg9x*TR2cVo5p9K!!SCDJ^bpm_PyTINX)unA&E4ZAG++-^^Rd_R
zyq@b(;W1kJd!&RIT>yzc({01J@vDn7SXima|ifi9txs&zM;;M1dSoei4>k#7z(R
zQu@vepcEmAZ|BfB*0U#sCZg9g6tKrZ__wh4&V2g`J>tvWwZnmkTvCD0k(Zz4tDUhT
z?}fE@zK6U`irFcXMBbvBPb2qW?7XZqb_RmHm%F-CYQOVwEYD6gCGx&a6;Q;^hyP6v
zJ>KyXM66~~agR|4@TkK-P2g&im>Qa!?PtLn)%L<*tNBzwyDG0T`=kuAZK>t(mJ0Ac5n*ngqmd|6%q)1}f&!!(&g^Sb9SV}}BpoHCmjFBvd%BSLsNLHK;tQt4uGdxexG*cx
zZ7$S=F~SGLh3tabThb=SJ!y#!)l|0-x59F_d2H2EBOfWG
zbCooxucV{|goksYV}D7WkhVG|aN=!^leO2CGPrn>Y+PZuIWqt6w2+D8fI_z9O<+O~9
zikV-x6%_c+olE{)Wm$L+X5F1#(75X3(C8k`>gYWv;k|#DQJ=_2*}EKMAkCYWW
zB9Ef+?%EHkM?)wV`4p|6e=Q4u(aW$B_ydSn#^hH7vd<98iU7urubbbgX5z2_MnnZ+1S{S
z>H)vzeeji&lPe!hNjbl7|Nd@I18Y6UkBjoAoZHCa8ctH
zZ~I7-JGFyZ4^QuMMok}f-p5-D##_dQ*iF`#2pSDefYPOyo^ZqKqYti4OK}Say?Jv&
z8hY^dmDtA#7=64*92AIZ;vxG{c%PVH^#Fe<=P5GPtN40L3
z-)Bu4D3|bDO5@f@n63I#P|p_DG;aGPORFb(k0#xp!=3y7y=>MWAbI7_?ZS+pH8nLW
z>)VoV9#|V47#QHCocUK?dWF0Y>%Xya5B59egZWF!@ny)rc|=5t1#T*Em>rWdypNZ=
z`>!d4sF>6sbo8bhv9g`8(Vecsur?YL6vRu3GF0POJb>2LN|aRrE+JOTF@aJxt3GMH
z1s8;l=F?>Q_XWvu{f`_^$6{MMQ@xzseWp7&zTNTEV1=u*Y)eav!xu$OWFS%SyOaO^
zo%IK9)#$Uemw7jNd3dtd82^viT2!>AGnrbbvzposG|0!H2S1)&K9D4E1)X&MKN}4TdtFyf?ek9?q97w{0
zAqoAbWBlFNu-)2RCyk0b|IyJSkTrZa!YCYJT3TAls;YKx7=L)M918%4If{SINKdaz
z;`q5U7Yr~ax_^&JjxNFT57WI%^h)idL88c`zYkciJ&;q+)DCqS`Mj?=QMP)3-SPzJjIwR66h!VB<3)$E8=^40%q(ZyciuekP6@x{UbyQN;B<
zJtJSxV7}xyd)6=RkRy2)%0bbMI5?VnDYIkh;Z|b~pW{F22C|#lDKhJ0VHwl?IY;Rr61*!Zi=Fq8TmXOZ&)$P=gHv9
zOltQBGmGT3%RGPn98+ZdR)#Wr)gBbge-vLp5^SDhC+og^=@haR=7KyF97|u3O_->|
zK$bUUm4}~S4VwQRK6p^`#*HWYkFjI{j<8vo{9%NCIP&!ii{FQ6J_jT6I_9P+{(2!~
zxJi!z(J?dr3j=-|lHO(9rzzBCPM7#se1
z9VJG)bFT$*f`4#z(n}rzfyge~h%Vc^^{-iTU7Hc
zOxc6v42?wm!oq`n2M!<%0`keLSFfbLUc7j*O>+KYs!c}*kC4!vnwlDBXc)VwtBpTQfPOce&!Ar
zdCLJJe6fAMXfc4b&w47#$}6SSR5jV{_11`}DD>2F>}8WDGFyMmp8Naj_O|!X
zjh$#5a`uO#U+-2Zi%ClxzI^%8=^6{&swb#?D_>|ebYdV61+hTB5=YKiwCx8<$9B3i
zn~vL^tHGfZJ5cs;W2s3HD~!-rZQ(ojM3yO0|JKV!a!PMZrYftbgbg}GfjdrDiCXy`
zC|E%;{OF+-BE1@oOob9|q2@qDXlP1k=qVV(_}JKFdX$mVnymAmAjE_4&da*Z>hT*_
z835`bc|`#&3z+0%N&ewhQf3^*`I@HAcJ6coMTn?_VCc)vs+#MCM?yjuS%q=a;(%?N8V#L
zJ$w81^>byD*rZQFyKiP?pG_%x9{56(D`G5X{>|A3C!cp^Jii@zl6gGk_{D&p{OfO#(;P0!5C&B;*~5fQO8
z^!Bdw_xE>MU$QVPce)K1t*ovdX~MYVA(iv~{m~G32G*Wyf7)tx|RH6iUc&662NjNDs2>DF|#<0dupFX`}
z%noN!JiQmW?Ix^~V0QHUqK8zhsC{g?EMUnjGF*7$w{Mr%3f>i*X`b%NZ6@cU38q^^
zBeenJPQhF19kBWNE?lS|ko8)%o85zWBzg`c@s3UdjGfwTZeCWE}ZPW1u2pvo4a0J)h-B9L~`WXGY8FZ;HmfWfTODfOnfIS&pEu`NR^L;2kr
zDZ;_gQF>-z-C9_P^yTVmYQY%xDaB`+kLBdLy1FF5z&iUhsZ{Ef9!pEhuR09Om})qR
zD)K-A)Js1OmSDsKe53V{
zx{69*E}R5)pDO{G1jYNcwY68e$YiqG0_SKd9^Ycn)7_nulVjVt;bGj_-O-T>LGO0n
z5$PT=K|w)0LT~s*cp#4sI9qcqetT>G_IMM+zNa-=!=4MjYHqz2c3_jnnd8@HdufZS
z($l%{GHPmSSGo)F7vc(pz0y%PlC-Dlad$#bOI>zhB|w
z<2$0CDC=uvT*irBNUaIde1x7{D6V4iKUdn%pV*oi!Y<1z
zD{Fk<7)$rnO`sem!R6Jm4QH1Utgav0Aj5fB(A=GeGK%I
zFI|}*KHQ<9p-Jt&#&S$VR5S*WqR4!*~&^v0K?y^C(7hiRmtSR
zqOr^)4BubM(cA+l?zsDxubpkMAhV!Qo5N$k=7Yo#ng(;+H0P!-brO6}dy)y`>IRu9
zUwmihz)w-AxSfmtzrVfV;^Ok{a**uSM;~h6v_2TxCr-If$oeBM(eZydj{8zBZf+Q9
z#6>OiFzFsgsfyOze;^myG>vQ<@K~s){wAsgxP$kFMi3XU^UCKzmg&FG+iYLd9gifL
UfV%8rrtKY)kxc}ro05Sm53IG5A

literal 154621
zcmdqJcT|(x*De}+1uKG7kq!bPO+cC`RY1CgrXsyb2}r106qG8x6M7FlgdS0ffOH5Y
z1e6XTASIO0&Wii@jr)CLoImbA_l`48hCntX@4MD4&wS=HSN7-U8cI|b=`TVc5Gobr
zC)yCmnRgJ#sn_Svg5TicGX8)cXJ4x+Jpn(#V^5*p5B#|BR@u-M0$~cGe4U7xTepBf
z?m$$Y$m_mKS;2dH>kc0tukZYP!|65pt%=M2eeqpxUS7Sv(#+Sx7i|fqBph~b2UUG*
zqKVfVUzl^tsK6moU(3j*^$d;H^XI3t?x>Ak`0(M&7wN<|ahv<6T)V%hJTTi(uvui&=S)Ux8?x=lr0+#yZqVfuoiSjGTBi&i~
z&&hwE%6+)oeCgk(kZZxG1^@H(3HSAe|2(~#@&DV4zpzVh^(na28l!x#U%xKmzVZV9
z_B$1Pvs+wGTYF%f6-|f6AsfARmhm1_!v}ktu%(=MUI___Uk4(?J*iTnPLq$+Qyywv
zxNt#LLj!9OZ<5;@LR(Z^T>QNXH&Nr>9vdG|s9i`KZ25eHhJ~f{8k?f^WP@jCSC`#$
zDfE@#`*HXP!YYU5uhi+S?
zWSF;y594}h42)S->h@RbMPIjk`a(Vh{Cekr;#1oiLP`Cb&z}WDW^7duoxxW!ejC&P)wn}R_&$?zI&1<>X
zYxmEq8JF5(avs7Le(C9$`^rRZrHa|6?Au>*Uyu9_W>^BSz~>@2xHPJkK{%9~pm6k(
z11PDrhRslRVb6`(blh6wjwxG5OG^tKqL;R+Cz4Gm6z?b=^|OAh$;gTY-1f4L2!ucU
zS_8!YECFASPV*((*!diiNxXuBPOYEr_OAKvNZEOI#_-gUutot`SIJcJ2NJ
z<+Z(HBTiJzRF-IOqeGfDLZjS%f22L@KuB@ziF7-#a6>h|CAP~Rl>?jQY9dN53Dl%x
zcPa5!MGdm<>MIS&CH7il0q~E8mR2na#3$-a$MwTML9)6oE)~E-u;qfh<=;Up*x%oS
zzF%+ud?5?Ocsl9grAwsg5W(dj*@F!D&MI}S5$orD?&Pf{bN+K`e@cvNwfPK6V(^Y5
zQ51RU3F#n_szIpq
z-rM*RZf2s>G>?dkyjJF~H%!%+1Z^f|yf`@?5Q5SPlbG_e<(oKcwou;-8apr}y`#j!RUcISZ<)s(Rq!lkc*y
zB__Dyb^&hg^Djz|rbW#|OKRuo@tzB*q-q^~{oLEamWu#niYh1nIdx9NW+2;=A(62D
zt~f#{*Kqu@9x47cX%#Q^Yhu{)V0Rt6(H6!qM}o68;gxTyER4>%bU4Z$Vc@rK-FL*vJCk0^Bc%wvg_8PJZ739qY)_W*C;?&0Zu93?GaO`1Oms9`=?EWYO0aaK2)upam?50n3>EzM(
z22q|QWFF|gI#D2G-u41k+PFOqjqc-W(zR_1y}dlySkFiuWG|KszEcX1+v0N*FCvQk
zE8xnwy>=n|fzwz26RgA=3=9lqzAK~UpPa<6KOL7SfotK$QFeAeqfNB5GNz7?cA~PA
zotnnzi3EVfpdvu$X4=9o@%(pRQKBO^*|8Aj)te>_!#SW039zs)$Os|Dj~_q6Ny7%B
zZ+={@#ZPG>NxL%F;uJwL>*DG^lM5`T6<&q|D6B|17>~I+(AxpR|zb
zkw(oV$-cCElMh5hPH=GW8#Ipe_0*LY`v-G^e*JO$MmIsNv_kk`d3WADB6pb`WeWE`
z(pg_$2U-8ccRj>x@mF&IYb%9C+<64*3dk8!sh^2c>e67IQJ2@wDpdjAD$P?-Aij(I
zGZElcc@eGmdl%q!52teB9AtQM)D`Ke8%R{AI>4bs$;l@Unppokd+M746w-)>BK){g3tPlmo
z#m~-BGxh=86Mgv=(zrLD%-Vh#>@D3h^4A&v^J1Wg!U?*Fpq&=ltl=E8+7E9TvoNB2
zy-9@ZQO(gd8gnMbz%S8=)Z%0^|1;5?-)Xdr)jCy)#b*fGv^yOl>OB4Aa7oi|V4H|L
zrFcW>{j$nhVSi6Xep0}0i`ZQhz=6*T??AeB{`k>16CqmyFkVek#*f1DvJ`@-msTo!
ztCsd!G5HDa76Bow`$ie&fC%e<6jiTK4=Hl&kR`IOu
zRFqBZeW7f^eVQ?)S(oMa$WVMSr9=etmGl8b1^g(_4B(@v;#GakyWmYy+3rEqOt$<6
z2=SV_0-ZctfVlVNxcc}Zw@#|+8We6*TCr9og|7?o&fRpR4iFN
zstP#K0Tj}xDwjD`KqoYSaZ@E>16_g``|jJ`BPJdnZ;FG>_|HFmPYb#GLhod5Egm*v
za>8{;-)DPeEDMk(lM!RrFiDS9V{^<6C2}BHZxh_yuC}J81`DVBX=8H}^=|!jsxNuz
z1a4q(5O#dHV+U$el9)qMII}eUK)KO(5Z1`KLJ2K`j;Seg8M8g}w6dM}b<_x@>=m#a
zE-FQ3w=;V^qm;#Jy|96`{;VKQjTE{v#P{E2xxt
zQh{Q8eU$g#SX!PfKF5H(Z39@wHawigXG_b%%Bsi=<68$H{8Tj(ic%d|-)jgs)Uw%_
z?ZCPyDk^4~1B*fW943_*%qlDI>mll0etk-{6@b2#lmWwNUD&mS1kA|(rDlD)Y
z1$k-Xi{>5#th!pf01B(=eZttNALDoI&kp5g6QdP0wde0m5-l>R0{6m6h_x+t@|DK0
zQzASs)g78OPBC*IoWg38hCwJ;@yq`CdP>yvG%WLb&=mp*>Ufll>-lhB(`ThMw$3{^}UEzOjWLj;XDCRi99p9DnH00J9q%a_v
zDg#YE`|lk~kF;x+vpoO$_cF!5mazV(w1#ZgTwPq;0IXt@-XQby&(nE6^xl0-#Uj(7
z*ccUcy&EBm>7gytGpw`>Lp^%=)xWIqQ%S*U9YMg(6J!A@Tx=WOSVzHTlJiX48EK`+
zaYuGr!G)Uqd}Z;8w*l-+y?#fPlCb5QRg+aVgX}76m}B2QB7>NHSzJ+6GsVJ?Dx)?!
z^ogXGAe%%-E|hrU5^bfkDpdRlhH@wd&a
z)0v0z2nvd`_#Ko33UwhL{px#QI+2Ek#t`P%NYbx#Cqkp+lbuCr;38@|Vo&M6K|h?Y0`Qzmww$fJ;b#at+>BI$|g0G-=PN
zo^_xM8WOntX{4mYoKmve)^zz{%=8ZyAC_nv4%TYZ`2j
z7+$~U8*mnqPW6EOUH_BFFTY6phnCo4!xJj`WSL91?&YHzmoH2{mj!q!>gYj?Fe24C
zHSJlZ9@Z`w7M+axqLDW^O5FArW29CJlXPlWS4<_w#m6W2XDJ0uKtr2{PlBq_Dqa*)BPA%hFyT`^fFBqRhafBg}#>?SCIos-iR?48_v#rNvKdLHNm
z0M_wJN=nWq5T;4+x%GD^WqdKR>EXQ#Md+T-uV263nu|AE9#9iRR;GRb-6wmregzNM
zF>5P>3Nh(M?phfxdB;z^#$8koG5z~!f6YKuRW+65AeO9;gysM;%FD&2l%*IJ)orQs
z`0;yF_!5W80AFdtz-lhVsF1s7E|@~(UW^jm4||UfA^=F|f|y^5QWMYuWo7p5!y&Yj
zS$Cqa5(pF>U*9Hyy2VU5F8The_c8~66qp{pdyY9iToZMjf5ySZ)#ZrhlaMf6NO29n
zb?-&`)|ML*bOj)y`1`tYL&C$cpesbd2>OT12AF}x{;WAS$=HO1{1AaU<&aza+Vb-M
zSoWsj1#r^tD+wr2*cCLU(PtuE!Zo*WQ%CxM9#cB}Q&%2c9gykh=m4c}B=czqVB72x
zjMRW%8=>*;$=j>=qN38KI<0cb_N?ow_vUY>GwrVuc)Nv*uR`ul0McsCv5WAWzm50V
z!6O;3ftMxaf3vJ?t#ZFAr}XW-DR8Fk5ojXRq9|=wJCjG13-Brga@CUpHU9dqLi@oT
zcvaw_bx3mPc|-ZzqH;p!3F}v&g@8~bfIKAtecZhX-1YC{|B4sixeVkN
z@DIMdV(65*ySsZU^m6lu8E7bz6xMcxKoT>mmxE1MfgOLcC4%qP5s#QPzxojh2ce){
zk>oe3zPBirH&~FJ%?=Xw83^mMpLla(e7={#twa#wyRuU8>9
zktK=y*4U@*{Dcx
zIzUBLHmZduE=5`put+Q_IC#3t6I_Am8YL2*&lLRv>9mAcI7}B)dI~6MM3*~gKIe>hT5WhfaM1JpdgLq;O}4$O0Mb9u$Y
z^Z^4M;)plSq{x0{Wo1|&K3?8pUrQ@1qd7ebF5e`+3%F4)d0TJ40?dco3
zyH``7jiSP_vdRM#ssr?%1R5IDXv4SG)>df6o6jW;8>&=HlDdE;gNu)pz54F9-b!oN
z{Qiupnp$-4!li=7K-1pw51S2EZ{AoR9qdW&uT)ZO0mPp}(0&z^J3UTzEpYJ|Sw7!)z&VbB#8Q@ch`R{hO~w-ZHdqB=S|3pW##BA8LjWwsu@8>&pxJ(C&kBWK?6tc$l%S!Lj5~WYMKchiKH-xRY*C&cQrH!HN;z0%guEh}1
zZvNoGgP#ECPKDP4#s`fsI=pfXmD+v-)zWx1{75Xf^!LLBO=*&@93CWnQiKfo$IY8J
z=`d4HKpvtHMo^OHK{krh8o!nA`|#47e52C`OR<$G;&#yYS7|=mhS9OH77eDQAZ9rQ
z1$*zkD7%wB3B<<7%LWQzEV7f5Z9fx*)uGTN5J?YY5WTyHzB-16HX9oo6shp1!WHQ^
zw**a%?Tor%(niw_Y7YR>yASLmzjLYmf7*B29#_r(i*^b~c2I(VQFU?ug-O70^RRUY
z?+q0>JQyK}6==4JNEa-S;HO?gD=pQ(ZUgpq+Wr`@YaKfy9NOuMvP%Py+~o-l3&QwAX7^Ky}0B=l=Zp6HX{KLYFkN
zy~7-l32>acrY3qhf>EME-sgO7L6%sU5NK$j4h^9BJ%KAkpaB;c!s!FD`BmbA7{);@
z^p``4oz~Qk&Sf(mL4JPZPC^?U5R6^y5Sp@wBG#!`x@Nm)_?`Dczn7d8_UXgv6hrA=
zIUEBm{jqJO*l)UKhVX^Hgs)bdva*;-_k9w{^9xtCw
zQXs+VGUS8*H42xb4AWqL;Eh1Y`Qqjs^LlNvk$_*Ajn;Jh;~WSu*eP{6tF+ny$7%j7
zAYw2DbW~s#f?{T2apE_Sb&3+PA1#C9LO|8{bd9Z;#HJK3qLWQEczxvC+72I3uc6?2
z^?;SqFfiEpWM*a2FfsARcUkxdU=F~>fG8opnDAS7r11_a>?n}!EU3C5!e0GpBu=(h6G0s
z0(JP0-rg%OSnj{{M;RYBw6?VTm~;6!WJ#KRXKHGCgUvoAuI3idtVOY1ot=PLAvG;5
za)9g!dLRlTLT?x3=Uev)eJ>~h)tliEq}MPm^z&yeH#fKF*Y=M5>x}w{q$~mTL^0Nz
z_&V4iXm+-M*az*MCzA-Gpx;$T$e1+3N!maYB!M&;A~%SQknBHiI-+r)Jn0d(tN;82
zBrHyW!UQFCSrW%?%?}r+vD*-@HGnpc>ctvp|4LQA-oP0MK<`xzxiW?j#z-|t&#KgwZyp>5J
zz^gxQPToqB02%5+2dbGI6VQ{3J*lOcBLHP4;Pc3WOBp~BH)wLf3X9C66*JG0
zuA{?!l-rWF-65D0Tpnenp~>+*BpVVkwn~eO@4aNVCP_#Yp^fH1A4sact(ppo4(d~I
z@IYUN0tb^Ogc2C{eu!l^{nr+#gVS+a2dIu+x?=K#V!_=52tP)pBz
ztAi0vE{gykUs`DV@4?DU5&uvJAhoeZet?Ei$+YQcO6xhLf>eff0Z_F0Bb21}^yx>-
z?j#E&4u}Mt=Q1_(BWr*W^Dn9O;
z=arFOI>>o>Lem90i2qw*_ILk$5;1SPOo)F|k9VYmY%~Jl6e
zoB28(fiB}O(K_^<+1XcjbS&`%66dL9W9L>HRCVp^){DRdVSqpL@bJL43!1Xi03!s|
zZvN{(r!0X!Ip46^Q*><&@EbF$jTx}@EBVKOXD5MSxE%s0?UnD=r~PN!z^lVX2uM^n
zkY*xIjJyWLHa9!FC0IgA3ik+by%QZKqW7C|z?4lb$wF=SjBD50Kc=~hb&CklHJ3eJ#Y%*
z)c7Mpapg}STiN2{fgS}o6E%yBy?*hFSCm=+dddEKhZp8#K$yMIE9GZ@R}@tN1h5H@
zDW7>DUOWJUC;em4>W-D02h{@NajHkb($cbT``>(L4&P^jJeC8v*w=I$Fp(!<94%~8
z=XN3K{G)YBvmwUaOnCe7J!epW51h1Y0fx|a4x6CrU*yTKdG=Df7hu%qS74^YCPBX<
z?00kkzX5;x^rASs-tmC8>n|+vP~cJ%b~~an(A~naHNrAEywJp
z4yk}|uL207>HFXe27!EwhUU!5;Psuy56QTMrofq$eQz0IJ8bb;6zx6M(S)N9E{Kma
z62*nMxa$p6dz9uGRXy^bw3=A^OQ|6K+ufji-Nl08zpXdNVM{L{zhR)(U=>vUNTzCl
zIOzrhQ6noHkh#S@Jw0JU
zsJpnhq!Js!I13Q>k8U#GocSNCH0T*NdDp6_s$SeXu(Gfi9y9eBsV+I~^l>3JSjfis%t#d2jcCat;;8TI`vA7AS^T`JU8Y*LSXmhw<2+x56l;mYv-
zxzF=;X-J>RB9R?He@XvOdyxsEXmcCqluQx#+?EDfAEs&u!?&zmr+jwK{Om4T^VOmj
zZ8oylobR5W^jZ_8Pzw+cZUk(%G3fs+=Q?A-(uWz$Tshtqh5NMKwn_kQXr)B(JY@!>
z{hCu+8vhfphZN_w+nk`ElJt-Ty?r<3n9H&m4Df+@pfx;@-EF=CCj1S~wZ@iU3^8Bc
z&MXX?PqDTHMQ~ve5>$k}+3x3hsduSqv0vmpXB(zf4k6Ic}j6C_;c6XMN$
z#~7vD?|l$<^&Xl8#ig6VC|k`A$sn^C!o4yi_Hlhpfoy@xVERi*yeq^)9KH*}yJkXZf2m=9C;i=s@{@V!^$3MJf^6xm}@2}~D{$HM{N^d2OmMe%QBUKPU`#`yigSSJO{`V5!7*q<9o+Z>)
z!|}hn{RePt<=@BuIJy-~QO(lX#v8rRlkaB2u+)@;K*X=TzT3h;c&Ty+n5zGckwRRl
zO_c{gUq)#W{_9m>2ssQY1^CbWe_!+8gi4CgiL?iYKPV$zyC6`s{LfdsY(ANjmxrcY
zRm>llpsFHTQ^t_eWdG+C8)(d782E$Sb&5{@_aWEvf6!U9f0y+C;gLArLKMXVkgJKI
zLS!+1H8Y2Y`Ty{kz{ZD~gFpW^0K%kyT+8v_b74(e^puZjf)3
zVG>=F9{01IBkflCcFXX?;mFCu9kJLrUF9eZDZ4L{u;2^%c9klF
zg3SH&uYh9h_M+hpWuPqgTn1rw<#K%9qK_@GWi@qohdX1L6Y
zas@}UxV3adduf)En#Hq+SwNLt9Q}`_p66*Y75g=Agk9Y1LOuWo(vZoONRm(eX4PKN
zce3A=XO*1?zFB@pt|60te(}K}d?IgO(we}A=~7)(r*4IT6JqIXFaI@SdZu~i)(>IY
zr3#j?e*b0@SkG3*@`Px$Vq>?N1@Gp|4AjwjyBDd~&ljARxu`Pmʭd?JdM`z`tf
zpoS18%G3osP|Fh>`jwUu!^cP4cTJp$59bzQ&mhqr1|_Hl+u>DuoR17fX77#D=rm;`
z`Tvd$&a1rE4n2E?cM}#nJSXb2PxwUre^Mgg|#bMN4Nh
ze&+khT*m}S*xRo%dc&IcfM_i@xE=)@0#s`T@p42OdGMak#*skmO#|!Bu>jFGPa^y!
zg)J`+_N3O5my4dMM0L^R7*;A4Xd<$)=Whd3n6UjlLYgigRo_ks8VN0edD$21U=HTS
zIy-sw6&3$cj9AU7d1!S>5yWGkGo@*KQoK@OZxP3&J+fFr|Kf|hx!bynkV7*5s
zd`H8ccpofhT$D0a{bc@TOKV<9QajBd)+c%=EO#e4qb9#bKa?WfgB+nuM6NnlbXJ^<
zs*lp0=O66(<`zZ}Yl_W0>A!8Uu+8YRwW>jLD~3>25C9_&HM`XA<^mJS8Buz@tIpK1
zjF+LlWwUpH8?4U~Mpgzd^?KVPop32gb%L;4Z-Whzjt1Q5eL314{1DMySQMb*JqP*F
zL$^fqb3kexb>}`~l6>BG@ft|NbODM~e$DFb^vkDGnRYQ()Hy`fF
zqlpt~gWmvRLega@!1?K+M!nA9es^E^d#28N(%B{bCZY|S=SiQ4{o@%YP$3X
zKXOl0-8h$rR`V!dXJg{My5`osVrErsbACYXY;-rgu1ZVBK-;{{Zqcp{aj~opcpi%y
zn?%pp;l=mgMlzHA)_%;at3*{$(<~3_dAS|W2v;rR-H`il5U*!aBo_`ck~~{GTsEe~
zfFC$nDe@-mM3ak8R*(k9>0e!HQo=|DHzq!wUUm<=lD7|D}}ZywepRm@}YZ~!mpl4H<6m#I)QRjQx2wv
zrX}3WI^O@zQMY83NBC(|P)AG?CXKq%5++=A-eYAqe>Qht=L6xc)T)MsKpX~gC)CIF
zYIJ;O;@L?dYo$Dmx!j$%4iF_eb%@M{;774uT_-!$8grn2Z&Fvp>H}f)B^Nqwd}Ee^
zRMA%YiYO9fCiyfieyI&=2f_yZp
zJu=&Im@NAi#0T{Uify_jmSqaJ-ZK@-7|mo11dJP0X(~ujQRN$fyj{)2^XC5;87(oN
zjW;`|MqT*LtiXJA&1`E%+?U8bT5{sTsTjuSiO13>{C{9`j8f8GxE0)zJ}hw0TTpFV
z9O60UHV30RHaFCbF`;0Oq<4+75t_OGN2D|u-f7cig3;>Yi@zpL@p&(G*5EG(u-I;GGyu85JgEC%GPW9&t<
zr>PE7#Ae)C$Pm9|pc&;r{`g(fin9=F*FbhEq-#BH0UMY?g$f@)))QGt1|Y~mR6YJ<
z^$sFe#8-Sz7yhcwr7NP)!`O+6@W}W^G?%UUY8!NC{k9nr_kL+*xws$S#@(FQH}n=n
zNtcXqcEr?FPE_VabqTJgTw$vm$;hKaaLGPNiXEVOS{9L$QoALwW&HW~`qHMQ>++9V
z$zsPwwLYtyD5uIXH+jsZA&xpb*AJH<#JJuCgYm!s^5G4;H%-Z>eTYh4ZmXfM>W;QM
zvL0a4i(qRCxLE>*fU;5NI|6c8#JH%u@!7jeuf)!tXzwtKg5jm)`5NZ)UL
z+FCGR##1_F7dz%426Kk#nLbTp@38T(HAXwLdz?t8_Eb_sd5>B8G+83NWiYW5$c>J3
z^=?ag;M|>&vD{ug0p
zU5d&eswny*?54jO(w`t8{Lw}C7J#sY0oJ2r~>VD2z#ofb%+?+QNF
z>rpM=8TD2D+YcJNzLLRmI%SM?vrMrWkC{fjo&{*1!boWS#@TRqU<7eF#i0V@Ww~;v
z&U*A0v?9+DyJ9`6j=<+;
zAXh(8l3uS>vDJ3|Yoa7-pPfpTF`Gv^Z}HpFF-H*6Q_=bMZHst|CAp4&{P*A|AOi^(
zd}tUJieaD$8v!Fc+ZYc5bLo0C*$-_Q{U*A9{mt8v+1(`K==)>mlJxQPNpnvN^2^rn
zvrn#o+kNJt2N35!xH{CQp&(i{*q4suJB+2koma?q$J|>RuuCcp`g_Ut@&p5(;(J3$
z#hSV+Jk{aC<@*KnDGzJL_92i+Zb?qnN~eT;4nc3$(q1$3dTcUX*Z3F6{dcA8OQEhhqITN}{)av?S%CO;(%=kzg62=#Z|c(dtULc|
zxXK{g+czwpGLT{dpx%1tFAjxXH2b)HYi&4kgKe1xr^chg14<@YWM2oEgsF5ka$};F
zcPG|HH$IwRzeZ>f;j86iLVWia>Uj_IOpaV}$=C)7B40EbnL*Yx$Zc+KVk!
zxjH0?39Cwz>1gI)0|-B_XBHg)T$pS+Oq2yEm7YN%&V8IUK8}s4<&SM@&6eKU|a%4XkTn5_1yeyD&ZKcG%GqcLq3il>5RwQgZY2e+|ye
zGVu>v746uPI#V}1y`!?DrY|1O||GIQzpnhfFCeN98IBQ
zV&^rUJH{2Y$qZVBTeq14rsZ~-!n7Q|rDft>_9sqQ%uTuw1tw^!d~4ChG)=)!oa-o~
z%XmO9Uv1^vJei-~W}d4JZRajSh(8ktwPA!*o%fE(-t%{mdvDR~9VulF-G$Pk%L{L4
z?KI(zVJ_zErR~=EB%h?6mNSx8WF-m)~nDsSQ~
z&hZQG#C17Vj?f`-{JF`mv)*H>lqA!BsjH~!!R7zZZqLTB3>SW9S+4k}a@J*t@#$Fz
zQwP8=LV$-m_m1*sI7vl&`}bWt+@DBkw>AkL=y69=`u;dkbU`5^%(e4(Sr_daQ!|x~
zcizjxTq@!d&Pk3nGgb3T6e4?$!hriYw>}Xw*yfaMV|IcGIjiN;Tf}mH{Y1RwNJ5FZ
z?T~aosH?GhNd=jpA?>6bCUztGwa8NFKTr(keI8@f!Vt^Q1m)aI7==yuab8xT
z2j$%j5HVzhwNjOKbRc)zwXAhr2(0K2rnG3(U^Ar}$9z6zCZ}{~g=oYQl{^s0=(fk*O
zBmN;(_15v>F-%&$HKz1QB15XP?k=!_8pj#>3CF3LCi<9%%7BEO!^_-%^-|~CS^rOH
zKg~aTKg`~db(kg)rF3c;QB^m8134%w*c*ICmit8+MWcqKS%g9P
zA~SC@4$0`GAx_AXis`%PG(Q()wbO;8sIEdAcUiMaO-d^Z8XjI=H@i8bW;0XIObRS6
z2)jJAZTi5!_&YSR`xev$7{Hs-q~2Kx=8fRt_drcF&1~W&H?l-3y55jJYf|Me2>bfD
z?V8WUSs7aF(X>~I*@X!(iKz95FLJgI@Rh{FTZMMmAPt-I)#K6i!%rlb;9CZ3HY4F#
zQQ;VF{+p+C>ORIy;HxE!_>T6F)xOa=zuCMNF#;?(&NucyzPkw)06vxk?(crfu>zFs
zSz%Km_pY|g%%%Jt*ebe{r%Te=V=q(_1j8`*If%$)9t*Jmt?{f_Cun=YsKca#e$=S+
zk{|;(vc?t^LYh@zu_cJN`)%hrb@e;3m>_-X19~q}w45YL^nEKFSkO4bcW4Mf2Ps#<|WT5pfO!?3#4Z--5n$R%Ed3$
z9eZc*P*KK=$n!fwe>G;x%yqxeW01jJjzY0RDfREwT$vJ2=X}h_(6c^8snI7X>YMRbOJ{ycCa#1ecogGa1~M>9uLOCzXZ
zGD)zp;a61TI9f_`2^T&zDn@+&3c8Iht(yOi-+&)V&ZOKlA!i9K4@q#Qn>uQ!^o_c>
zss_YSlo?JizlVJ5d=*kCGy;O~P|V>G8RgRH+Eip^pgIlFBdhn79)mSLy8~2;wSy3)
zMT}*bw(+<1YxN-SVGD-~yfV!eVXLq@MoCv_aQ0XEhSd7DKBk?toV3Opr^Zv=
z+T?ti+%c1$u0^WBe6s>O)}VDH4^|?EKfT&W40zw>K5p3D1%mzg4K`3KUWpfPo*r|c
zwus5@a%w32Gp4s1eNkG1%uX;j5wngBGt@UnQg1Oc`VR`w*LxB0*I63YP(C&UMhV$8~
zph~BtE}fg|ITgt`qg!9V;j0yjW;S>v-CjjXzDLC}tWfa1t_%BB!Vef<@`10~Sx8la
zs@c=Njf;Lcs0s0sQZXCzFiB~1ugHlr{)%Kb5;I?|QBHmzGD3DVN3E2eO$FNUHWgbk
zZth^VJyJ?h9*TMBrf+1@Ag-FMmBUHI>=Oa?yyjEo{u@0e=Az!Zz3KaxRf&c21tttb
zT)NlC^}6-_%zi<4C8$iuZ9&dnJ#|
z{d_6X>BWsMQctoGgZI5;bqctj==hb8z};QzoXJQXI1lGc-)zAKxS5(b1uiM-+GY
zR^>rGqkKu2!QomvqMx^GEu-Y2y=fe1ystV^*qZvZuuP+$HHz1}eW4%uN6*@IQml4G
zAdD!c8s%2wRth>i?N$B(A&)q6OWp^!lt&(ElfA|~=HVDPKjyBPSFpR?{8zR2;dC;Q
zLW<{9sjW5pnL+Ca>SCeaH^^Aa$j1{^exFr@;48HuDEOR!&pzoDY?(d}SkiV_N(w32
zFQirY*6Y-EvW)A8ZDJ3V@~Wz~zGdX3pIv&pqQC$IA{V{F*Hac%KMa%y
z3w{lZO^`h$fPTEwbT;#UfIaZ#`|iT#BO=(^ZEi&~_j-HPwlD>m-tYslla7%&HIrQG{F
z$Is^KTm!J({IZ2HEp^}nZe(6mo;BLOqGNIYLtD?cRQln$S^pW4r#Z*FwQt8vx(Apc
z9~7F)9{@VT^4yZ$vr#dteFuy5(6}%fHzCYwErs{u2;^(|LgDLvrc;?DyKNpJ9>qZc
z#@tH+5-QZ^%wGWV`B%j6W9RvNs)}`iZ!c_$S2!xrjV!YydFRy!>e!Ww$|d9W?j%jR
zTYYg;yQsO*TSS5J996R%GRM{+V5Y+z!zzt4WNU-p8mal3-cxY%pQVpD5$nU;JG;`n
zTQ>`h+|bYKphXXy5(iu`+KM)T_7w$w-hN@4Y3awklRoWA&S@dc$KCqG5_oC)#gnXZ
zFD1_!bDy>UDq21>`>?g+^GuajxGQ*QjH^$xYoxTutaqq5U+2=8ez;2YOo-_j?fDC^
zj7fs+{)FrYeW*K!+@0s1O^66tY=iJ-PkodO{e0qrk7;F(x8C7J))wpYRN~ieJ7l10
z+nvndmQ`lB3caO+nU6DD&{XbUhiXmm?^}Fzjw)I=)-ZZcd>ptg#i?5iFW
zI@qe0dgxn|6jHdj`$Ja0%LB75aLzqm$8_M^)bZQUHNP2Y%z#up!B{@P?AC*?Jv%+W
z-MvnxfSrO{Ijfv4z54i5QQQroRGU{zDQhJhPn=lWW)UZDy$WUfMkoG;rLa(Y+;Dni
zlDLxF169hDh^)_b%q*^q(f8u(Xy(a&p)Ft+DUzCLZux|o%SdClsyFzjd{*d+NuCi*
zXUs%J$LR(PD~UM--|ABFrwOMt9d14T#9-5%D*P!NRW^fvT`Wxrl(y`mK<<5K(cm6-&Tlt01Z%d|1al&wId`9}*t1f93mdbvmifZYw)TgK2%w
zabi^39kGNtv@bD*ghJVb?^=fEAE$g`obFzafyHH}f4P>V@}XbcYh<;$pSW`O8=a{A
zFLe9ZcWlzmV&naijEB-a*TVG9vnnQMem!W_Nx;18q)E*y{BuxB?HN!X;NY`)kAVL9
zMDO?h)TpYVvl(&A!;DW(xTU^k`djX`Gw&7zl-pkRO~1V?fXRwVj{nfHB5SVj>=7@s
zuHMruYp1Q}z(b!HG)^{v^|zf)&17qhdaUOWt68t#AH|sBqF!>%BJ?hA8)mY^2>P6Pm!oX&)mXaupO}qb0{$GMU-4JE=W=A3zY|vpkJv>%)w9Hq>t_tR_oycX#CZxL
zxfL32KG(Yvi{~l;pMF{@zu}OiYWv6dr^3AnUa;P0XRrUF0dZydGdx8hxiL(@infn-
zt2?CUd;0CMyN}|Fsx}#8@fMS>uZVdFwkKV=Zm0V7=F5z#<<-sa+gAOCH9VHh+@ZSX
zSsm|H8b)MZEt_!?F
zp#lG|8N9`_D~LG{?*!IR=6Juu_LV>O*MEL)NuCib5-S595|8Y^H9r~ibNx!u;kJYC
zOED<&v9>Cm(y3zMS~m;&@(ZjYL+<4-mu}8a#5{TvH$QhVR
z_`%g*g3=>DYu_u%>IKE`2+uMXoFqw)gJt?1}wWaodrp;V~S_35tDtBX)%12==F
zv4%Kq^4^x6Y)#(#ec3dnH&q|eX41m;Ed8!D1LAzvTM+#;+5HC$1NxCK!_R!pg1_}#
zInfKNK^p8|qvVgXTH51}S05YG!lY>^!A=vqQBpa3+o?%DYdM-eO2wC;g*h|%tnQ0{
zdwcSY8jf}Si?~ZR9#xU{Dz6lGFJD-_$jbTg&-ojO!_EgXM`IuJ3xmg|r3OLXeG~Vq
z3HLDN`?a+W&0T0IUoE-){j`UkFBzYjBB?*)5TbVeH-qd8r5Eq|@_lbP6Gg;HeZxyE
z-g83a`@=_PkZo_mAkIu*HZNji@3hAW`sKRO
zb&YFAGQ1(VVYJQ{SX(%@V}Je8{`#^{h)taNsn(BfHTL6o4qrDF2KBaX9TyV=CoLtJ
z@E_>kpHQYsREn=WlU&cRcxg2^XyU`FWQ^N&3T*LqhcWvDH*~OKZ`KHy7V~%xl^FK9
z2O4w&WsTg};CkdRSvnSoCn8L;^{Re;hWfW>wg1*CtEZW;ol>yW@?sT;up4UQ{%|!K
zA9Rj4$hx$yhwYkyg4WIIM{l*{Oh1y6t>9*7?HfF9K^=Z6J-1Ry*O1Tazm_cuPyShV
zA0+Pg;vcv~=IT(6@}1~6iOxuwKuUZI{9E@3ciUo~)CeWH@5^zPnwsC?cXMOz1Z674
zTH^O0b`+=l%8S)C^Fa99_=>}*G&ROOuU)06G4_SdJ$H0~z88a#yq0#jJm3nEA7;zG
z5>+xrJlUsh`3(~l;rb#h4Q8SE)#-U7;q%l~)3KPe78{Ss73}5zMblS?MfJU1V}W#c
ziBgi%-K8{A(k0y;Lx^;Xh;)}UNOyPV&?(*B@b3Bj-{-?z^JN(3oW1uQ>t1Ue@B0Ol
z<|m(}th&A$tC*^1_5G@%LCx1Lf
z5Ijp5(Y`zZx=*96;S{J73TILTzMf|^AeTk}O0!|bY;Rwm0kFsMJdH`Cq@vnL)V0mb
zKg`cbKOj+yi#`9L^0$MH#S9@=hK`mYLQBT$$epNY%Ae@%N5o;_QWms{y3oFbp&8covfd
z7KNRxj(oT5{Szkfge%xMX~KkC$_>d@G!!Vh*oW4cFEkpkxDvknrE!$
z4CR&9NNNmK>}VA=4$Y)!8umHyL!ZO1=a9dwCikFKJ4n$|bL|*yk^?W#{#A>>p7-t&0yJw%pbw7-)#4#tRR%y`quKa8t)3(BM!hx
zwfV;pZu|3V)Qqy{pN;?uw0f6$yf&&%9y9eP*=8v_FQ?
zaJf;BqN?-E6A&jumd!G^1Frk5Uo5!Z8=;)|p1
zQrtdsW3cRwzG2w0Bx|2H!sMHXk-l*|U8bKQ+y{$@!O%e}dZ%qTX5mJjR17a<%^YG}
zbonUUn39N@H#N)USljrbvUn|zH-eXkv|StLD|WRrRaNoKf~V-s_xW+|2S<5!yq-^z
zWOK@^*b4_WrjVTrqSGJzWU*Jvbf=c3bhaCyj(45kI6WR|N&YvG=9w_!eO`LMhS2b*
z#G)ltjI?6GCRXU_GMK9td34cuEC0x5s|kvH;-->m#1PL2&(y3;7b@C6X@~PFcPN;O
zu6qztnvzpjPW-Ln=HmX}{QS<&r5+BbYW*>M|2uV?W>s@C)D#Hi_bX=W{e>IyEtH*kO8#;6&78ehoWVmlylSor}=+;4lP@bJp9mYnp
z$7GeiWR5~s6I6{y|8zg_N%wZbKF#sGyYuh79@$yR9$z?`SiN|A`U%|^1!KQ}jc%d&F?3HS~LcNB8omJ+R
zyC1H)jIH{U_Ivf_+V_i^m7a8<7CX9(bRE9AShuU4ZCLNVp9i7dpCIbL<5j86gb(u?
zYMN(mzJ4odw343-^K1d!;^*llC6VYt_s8|&_WU1_6CC=C0t2`~-
z`7r>>qc`RvVT4ZEn@z*T+*hhoIQ66E1L5|->Eg{&dh2=st+AyeI!%;{-UUH-!*TGc
zC2q@;3np1q|04SE2Iw=Xj6B#uaeO_Khku;U%y7a}oz=vpPrgAlbbpV~aJ|;j*lFus
zmqyf=iU%@&AmuY%iq33RZS8#>6>A`x{`c=6ihGe{)+#WiIJRj4-1#iQ<`YB7YxZ-Z
zhq9ipL3&Fs9?bYAT!@n9uS8C@r7(4d<&Rwa?dd`@H`aJ^qD9O-Dfh@Yb4u2;613uR
z6Xe|02}@O*`yo?Dr_xz0v?c`s24JvDE$@rVIAsAFiF3%S(p+}HYM+iLK)Z(LO9bJr!Vu+g&S
zS1aJq9S*lL9|j_Ql&3xk$rwyb`ta`&>_etJ;$pSc&3V@AD4L^{1_j%%7u{AZuWmu`
zyP7?0c_3R*?kgAD+A*ssH-)@kc3;z}XIeM*gJm+p|IU>8!FFI4JE3|7zQ
z(juV?)!X&Hnu0T27YhzPAKD#Eh-t0y{_9KrV8JHzwAkdi<`{PW9U{i#T*Rq=mw@g3
zY`#M~Df?GUSP#b`)L$0Vd?{1F|_Dp9sjZ7O7MRzh#
zoJS@m5&_YYl&vi@Fs%X7j32;AF$g#xqQ;nCoBPHU0@3l^1u&Ul0$9QO7dfwi9UBPb
z;|zbN*8dv1&WEr|zFa7s*zOG*refxWZjr=H`g53H(*w?#zu%
z`G{U?_bt;Bzz|X0u(Q8|C
zS4)sJDD)@ZuEp*1Pvo-pXjD#-TNy1xtvKsZTYW~AaBZnyLqxPt#G
zCh9kHA3YoA74bvy-P2Xj9xc61ZvEdBqo83&!(di|E>q&0Zv5qyB!#8bAvD-c^oM0*
zqtR0D3;MJJpoIbV#qIHCizR939=HKLn&O8x
zDWZlExV}Ec&;Lt7B%zJ`?&9(Mcz&5Fv#Ku0*tL_zx;)ZM<~e5f
z%lq9Uly^)N{^b0Q_@?sH6Vn#POYJxeZCus4_ZJS$SwVS%+(RLAYH%i9QpZ!cJlRsW
z2s1UFU(x7oNB)g2Nw>d~WB9`QD&?^sZ%`GdHy$qnfN8EHWCWLA;s!dVxrR@-go&DZFn6^mJAAI5;?#N;^6_nB5yQX~o6GN2jObp3O~6
zuvvY(0>*i(vFf^rwYI<#Pn~;?c-?H`6I}zsU$eP=(*1(@9x2x9bfv(O(}|t!HT`wW
zVOMBo`UfiRkS=>J%%ZCiI3mV^U6DGo@SO}o+E7uYJD&O!9a+?b{_x|3C4F&o)Ay$H
z$lFd%SeBv2YMl&gL%x1b<{3L6dqOJQaB);rSVdnbsN;fPpP4Z%)S&h(kr-mfD?osv
zj<@h)=23pkc&d7+H~iB3psazGcjDvtuMcmt?hctDuD?!&T4tg$edh(YD7b54HTfpz
z&Jd@iSZN$cd51O-%yA_MtEczHFDe#I8v%|nabbOLrY<={D
z!Q*Ms+N3a`f4PaT402>HVue-UL+jLwPB_t)`4Gav-sx(1uH8eD2
zwcMQIb64Y&)!ckU{y4&ah5~#7Hi1_K(Fw;L{+Ab{dqH}XMQO8Em+)>nOi-#wvgL(>
zr14>-mP_5Zh=RjJgT39u5}=>xOUPKsDN
z8Fl`|Moo7UqT`>CKV9*aPHPTih|D%cG)3%J9(r=A&zDC57;Dm=paiwH#T!>#?pnC%Gh;_0Q_X3S_e1)}_>oA-4u7R{wN?2P
zVS>1_NOPjbYztDFwlUR`(muB?tb~Kdl+;f{uGQX9n)d3=dnse-k|WtL8&i7cX~*oB
zBSd2aG+}e{^gR}u_jAa^e6-d(Z{O|C#rDGlSeY2)pHn#dl!ZmRa2c!3VteLEwl_Ne)8rqUc6yfMMS3}R<%?cWg%^-hPe
z6Tq{&fhNj0g^ioGXae<#hMkcy0*Ef*7fjhBA8x%03eYqH_3aKcq6!?E^8#&5x$-HL
z?dnsORu16;c2hO$Qv|XSyXLJ5DO!w6M_dYu_wFvfh*``r&sU-)RbTGMx1v5Z4Bt
z1AzL5CHmaLfnfmW5B5f&$J-|)5=uC$Ht0b_9cUTl)HVkd40l4=VGR+vq)nb5Klj^5DsOk8iU_T^zvk85v&?GIqq8!npy-wmW#e
zID`QAWOrc5S*l+NO_R@h_l`Z*ku*o}Kt%JM^7lJdV_s67Mn`YH#o^|}_8_827RCi3
zzG|Vaf#P~8=fSOpu=_dwf~3S$!*Nl^7s+E%s;c!QzWC=m_D<*!xrj^(YFd*SBhcRP
zLyjUUysf9n5Yn!p5>BpjA;GK_X0s|NlFL$ISwX{R1LTL9Pdckhq&Y>JFRhLpF|5$1eQnLawZ}b%j95k=SO)ox-mHY
zZM%~&n(EWmo-KE_e5sCgJ*~dBCS35(lL5p=Z!?gc(F}fN!Jp#Y^!%}_=KYgDo@K@U
zjN}(SZEs);f%i@Zf(=0NPAkr{lPI5s1|3Dk4{Ob=YzS(@C543z|4#fWT<>~V#};we
zg1*XRy7CQT^!In>m@!XQ3ye9;5ibNZ4=y<#82b~#=i1WYKZbz{%Y0Av|c5C2Kdd}lpu)Fy#v1gf5jW=ut_Trid3jdBg|cXRbv!}IwZ0dKD5Ol8NcH6|eAg3C
zo*!M~ye3PExyRQ%}RrjifzVt
zXOUU~PWI5y`4>#8BC0rl+a;N00AAi*e>*3yeb`DdbrY6{;;!o&7tzo91gR`2NCq>U
z(0R6p%N%3L6Oe*m?U&|zU(e#e)f5fAwUlHKdPr-St!Vny?KhOo^w$u|rKG;UdVWW=
zE8}^z$mF_0$ZvBo&IY0WI~lB>I@=g8CHR2l5=1Np6|P*^aB_6hqpB%sc;wiMTl{%=
z2XUrQg3L1dnxG?sC=?U)^%#_!U;zz}pdcf?J2c%H_l-?|y5ADgJH57^uXb-~1|}9#
zo{J~6;^h1I3(kdP3}TZL5nMf3mPit=6t&2Trp2orB4P0nf&W&_{fRt#63jl)fO*-z
zd&IP+B4iA>@T58ZYh;LCODTmMi)ef}u)*}S)r($(
zeFII6(la@6QTY$=hR@$FevTEu1{p6iN+!W+=O;=7Xm`xcDPCTa8i15EwTc*8IQ%9D
zeQ$etivv-$96k<&6Kz_-Fp;$w6p%@30e*N55TfnHR3P{az5^DVMDTvkf;vQujj4b*
z`KzfZ0{`^-$uaoMOhXfJ4#3oNs^V@5?hCgHD>$Ht*J5(W>OB;HSY&CHjlc$6_e_?`5xkDH~vAI`kENxe9LmGr$5
z*~2(1EYo&FOi#LHZkDi6A5>kq7LEQ5GrFWB@~3+c2`7bQ64&P0*4uKLo)LTEA!=1o
z|IwBT|35B3*q>mAqG6(i-PV2d2&_;
zW+L-E7O`bq2o4U$WG;hGhwizrh0t6tT{R<|Glsf=dh^`lspwZ;sz<+8CIu(w@2;>1
z{NMyL5*vilUo8PsQ^>+8RlaQ265@pGw0lLDf?tww?#Z@8c|#G$br-UB4_qssH$J=#
zw~rf~BP|*rbfdG0t2om{g&oA4#(+MYRP$rYw3-i8D<=g7Nl0zTFl(2sC=lwWde>`
zDch~S)ZzC!P&EN)awd~!A>w51;8fQh|q8sR__`c?*)nSFym<9W~e{+ya@>C`7f2ZAeatHZJ!zI0|W
z$kpZN)2OMRv7{XZ92(*%C+#a2ai_D7@|X`oQIFt<_Pnrd_6(ednqp%St+)z<7#J@O
zD?)2mbs+~FXe8XNz>OlF#Rz_Nb(H`G9!H{W{bUpXe?TmL1MCl_-QDZ18iBzwUhy<@
z=<8OXL+-(Ext4%~!S2Vv?iZf_kY4Ww2_~nuYgi-^@=nf?i8}?p3}hWyC$8n+eUVqgV~X<|)-s7$!#{Cf_-ZyRcD4C!^$97-
z%qB=`5;Y|J#OuqwbF4G(!!a3>Lz%2fJN=25m~@Y?Z)vfe+n612USyVOoSqZ$d+}~-H#ys8S)R#$Z(1%KaLs1ABPyYQjE30
zz5V@vzYg~Dn24JqavneEEp$b{PzAuWJ^=Sm
z@u;(!6w~t3)1!e;uAD;D3%FOfDQX!7jj^WQ=g)-POt29@#WBSi)zooU){OJ}j
zLp@wKrPN$dz)bqH#$o$hmSMHFC)>E6$v@}YXTzJ&vn0L!EBKUkY%wsAi&NLqTslAaBF$@=waN?`JFz`R!pWOpH>?RW^$ots9p$7R&qCr^?xleMOu7~;f
z*CWdK2et&b@WkdK5hEIZ1ylv(OXf|V?qDY+H6FS{RR~iB5z7y7gydX^HY6r(r?)lc-LpT
zo+thQl1|TD8NXVjQRT41`0xYY$LH6TF7s=GZmn8|*s|Blao_h26GPMrSL|BnZD;O>
zm7EA$F}U&v(*Gk>+LS0VVpFFwO1Zjx&($ntrN#q
zih^sw#eaN{7e~-u)aWl02?Mj^w_(+geFyBpCcyYE9*oQWnvRgkr|?Rco4-#NR1;*?7xq%qooC{Js1h3RNZ++p8TPc
zN|OJH$Lb>e#tfJ7ecKL~2LS*FZP>Z46tx%jp(U9sW3*=cbc;H^N4S1qys3r~&hP
zi%fu{*LMCW-1TWJq_fSbn%#w#(3b80&N#|pb6CHz^D%C{6y_BAkhI(HA|09t_kqB9
z8&wmGx59oa7*9M@&X>q$gV8&Ok@tvJ~F!gYbSR6Iv^+?aqlfjEsW8&_1pY3O=q
zdIJVh<~6PuHjVY~D?w{(gA&#ytoQ@1VKKl%NnfpQw9INMM=#mgWyX&CxvAH%PJDPD
ziCdtYw8hIPPj4qY0aVr-A?o*Vq2JrMPX|{*48bVr5B}5W&Or5HY0jR5`}S^```)ED
zXyQ|jQqTBkdb78x`JOW;5@Q-~S}xb692}jexXzPKj1hyN<3-pEgVVO(f%e)TLyYdA
z=-Be?580fRH9%y|DqOGkkpWm_eOfF>VDnl+M5Kw9QKodvXbeG@LkqO!Gp4LN8g;BG
zS4(H8bLJ|z#hGOea??K&68yTlgMK7pev&XRRDhU$!C*7#(wShx(=+cTk+7bu(_5Jv
zE1!noVKicMFkS?i8I0R{OY^Ac$3K2V+E8c_lr?cdp;tG(VHmBxd%)7Ye^9dJ3HF2Z
zyWd;VheV=Y?#aN;#vm+9ViRGGbP|M|;*#JIdRgkoobE
zwg+83YpPXFCiirO#`cs?Ue#bP$<%!>&2-yrj|vnm&Pk?!y&ci8OFX{q3RfMiu1cx2
zwx%SZ{!4Q@t031nanm2Zr*vu2Yo}*UJx~3tyRe4ec;vc2dV`Fd-`1A}q}>+JmLVSR
zlvwaUQhPk#>kyn>#LX#gyoD-z-iFCYT^RjGxQKv(s-h_7nqLAHLg3+E1q_z45AtFY
z=av}wJQxspBz>?zspRARL_Nmb3vq16%Jj?RhAM@sjeQW{58FQ;+`CZ%R4Y=b2tTZ%Aju;;g~?kq>wGWaUSbp%i`O
zZ*>DA2dC!!DOpsmk-w*_6*rmXSNRkg_goWq5i32(U@RERC_mDp)b-||Gj50U{!*u)
z=OhbSZ7rVOEW9a2_yGDAJ%{CF(O`<9(81iPC3$10yNb&9N=cj0gfIjR(eWg?2#Aj4@$Qj;F(PSIk=ZRbd@M3H3i{^qC1pik$rP>
zB)H0BenW5NUlkFnpWac*!%0ErKyMNbw
zNGLmg!#ig!cn7gY+qLBVn206#cjP~mLzuNx0-Q_oxSlRp%FVepepI=~qS2JcHbJ=n
zxfEb<&qfaHHBbJiUn$P-Y@Z??it0%oh5VjSpMovgSVn=OTfHw-uRkx7-R|3kM?%9J
z9{s!hn@=jLReEQwdqXuky}Xyr(EYnL&9CqDiq+{OA$|>T7t?5uDvjhLIhjRbicUMv
zG^^56b{91(SmtRQXVak$BYuuI<4?MM3XhP1GQzR$Hv%=qM+1MSEjSpoHl75|YgMb8
zRM|66kiqT8j)nEu{>P5BCj_SRVNLTA2UL~wd^6n65jEBpc1Q@n-g&nzfPhljKUGYo
zyNKjz7l?==gePF5dy9I?5NMe6jR6Xi|v$>($by-mAl-?Xr`0pH6IEPo~(3+ro^j((Z!sM&+^Y)e*}iC
zGM9A}w4>tI12O`2(Z&$wM+n|+ShID-78N`S{76EYxR^CQEk+!M!$ulxR35MYUuJ0!
z>Nx1!uz$4xUH^+E;qMBOpJe#kKK}lwsJ)1bje|SEM2p^5&E^8$OUueSd5?Bu>Ab;H
znxB1kj`o1It9UN>LtqS9qR5Zwm%>hpl!%+$yG5vi(2=I^5_9mD)m0}RU69(zX5J9v
z6xGfI!kWp4>0cs6MYIpVP7zd)^2qLM>2JlGI(imwU2barc6(!bqx*1M&Eh
zO$+7UFtLc*J}t`*%3wrl`&ceg+U3Wr0CR&AE)zvzO*NdSldKDX&QO4?#eW{6__u;j
zaWd-<=k4F`s9eu@@fZ^Nlb*QchHiZ8Tc|61EAsZ-_hQ-LWJf~Q^&XuuL;4K3HebME
zlF_&S^2v4C_7M1?X4}@M=IG-@pZ;D8VI(@6IJ~WBn$Oc3@$hSS07qQKNi`ZXF?3*k
zt+;=&l5g*Iy<%TRecn$t>zjq2ZhT`RUb78_G3rVSO48=0uS`-x2r(x9u5!XlA#Ys>md1vtH}zN+z(_*x$Frf_*T*BmcMFimVe_;CmN`a=pE9gkxRiL(CBraeneM1Y>ogH4W0QHsIJSRXq
zEIIBYVCJ1@J!|3Ze7f;D9ajVY?;q8F)sr_~=Vp162UpW!^KAfcM5ILd8B<}kO;$0F
zJ_L+y2s83=s?-&Yir?*KhN1!%yvV${8s)Rs32-MC0A9hBQ)AZ%SM*X_5(iaHQl{+JG3`mOiF8UHAUCIMTe#^Gcd$ij%s&_QB&d&eNLw1zU;G
z?g+LX#aUIrf3Xd1%7tPA?2FdX14Zw#n-Nx~fQXVHz#JWMHTZV7-B2UexY+ZFSnI^?
z*2HyxR<}P0LVt5oT7yC4a&s{&WpTLhlGCc!WN+FqS)L1YVN-<_;CUb04oE4aoXs~a
z%N;h3&+V@Dai!4Gwi<-Ar7S%D{fWBK3}e@1@)|XEXix>^kf>;B^Ke<__H&ij@UQP}
z(WbDkw`C5nK`^7{MT7)EjmW08m<
zNrw9-0mz43$90(9!Acs}RxbZg3hFI9rKS9dJL0jDorX%O01~UT^!+Qq^bi(m4vJy5
zK-$pZnx8e*g8NaC5_wW4E&u&7KX~?wguOkRhQ`=S1mZveQ)uL8*e5~#y99dR%W|qL
zo&^>eRn;Z;s&B9%-JBs6JzpRrd5YL@vVXK|K?>5aXf5qv;r8bjWU1^_$p8{*k$70c
z5)A=+?uHu_JHhtyztO=EeKjvTE4ikiT4`G269C$pE`nxsEAIXdqjLE>_;gd_b^Ze<
zvcLEfSA~7Q#V_O-QO9?AtH;9W<3ST0Qq{q8Ih656vp-!BK!psb8x`CxWJ$Rtb*mh&
z0ZWqgPl*+IX464^vo3!QI)P4wmYSFn
z`T1Tx)$fWZ$RdszmER4;$4vcPw!3b~+^v9Yqxm9*c$fEP$JI3*ExL2>~h`NRs_k=Hy^nk!J3=7!I)Rq8K^AEI8g#AF87xtvk(L8euqeowA}ew`Cwg{
zT8iX_KeLqaQnnW-+v%^>s2Rwr9>G_<01}q%p)c-Z)pz&$JYxL=|9Rk%+(05xg7O
zgaToTtcO~q!X3g<+%bS^**ToB35`tv4cun=M?~W~Og<0|Lrf|B(Sv$EB?;ICeg?6^
zAW)H)gcR^lCAH-ZG_O^10~ES;>@%Rf#bDe_{a0(+q#U$3iA42H)`Sz82{mT>@G`cV
z@uDVb>{Ncz&pJEd9rw}$)~S<9N?H@@7j<0HtQAc81Z-QrTR+LO8(_w(+jcsg9cZ&=
z7Q_cFINK?_YVr0Uw{iWpBjlGnWP6Nw{2SEg4W?*rHCkFljmJsov$rM`Vd~iqpm9Wu
z`hY3~ND3H+BtP;jz`Gy{kpLhEv(MgF6c?3{=@z@aN}8AaG2J;BobWZsRPXNySQC-@
zH?o?`T~3s>p#8$u`)GzCmalgB`kVW1M^Klf0h(IAFGgPYrB4EBO?>@sr!AZY
zAGAFpp24n(A%?~hc1JB`dlP2mO=Ln^H
zzwi#Vls(9GeDN2H(6XX=&mD#(IJyB%bDRCKvUsL!O>dHc
z>P7#im{6Vnztv*+uSs}K9;@U0%VjcCNjPsuX4KwYxQq1o`e)?NZ_ji=4L&^A#Jzw9
z$6pWxxCfy7LpIuq*pvcnE(*H_0h|7czX_tg`YFmoBzZ}0Q?cu3`MsK##Mif1(~4l+d=tuPGNSO7ebCh;vap_Y
zrS34-L!|+gYP-M1cC5T@`&@HDp35)p;{+hsE+@*HHl%dXf7bXw`_ZX|K0-0
z2g83EcRlrgB?he({fpMD??#HUH4~WJknSvaw0kwDlq+~w1U{%z|MwYw9BSw;H62rO
zsz;?Xw_v($S?%Oo*d_Lqh9eu?=qZ>}3o@AX~;^~+-
zsi}K@Sy(_PFST;F^p%A};Aj3$G#Hs~FlH)e?c7OqrXQ8tU*2Pa0jQ{G1cOdO_u-X{
z=N$fGa(`ZP8T$%PwJuFHg?Au+5=8klxEo{w(QvB<ZgVf9h+gbzbWX>*C-{ilAHX
zWcXI-^1m#J-BOzRc7Ux>x`(0${iKo%M^LH!dW>00#K%vH8XOm`~*qNUZI|AhKxioXgwl#Kh*h)EftA61PWLXs;P^oqLEGyBD)+
z1F!WY)FnC(OKyGhxi1r5H*XoKPaSonX$X57(t^QnH+V=*
z9dFnaaggo{ppwWm!
zypFM%MkNLmZ&?+9C11aE%{W4<1Pnt<&fyh6H#wipo1z2vdK1!^dEDE=v{^GklAfPo
z3oip;By_LcTqV-Gs$;-Mce@#(vD5j2!Ne)(&+P3*rL|1^^{Iqan+bh2n)=Y)j)~r8
zq;V69ezTqTq4-OL^|CzsDrWre+dScTAVy^X_zuqla*5wMFf|IUSOYebj*5{r=9ak+$}Q~n+U+N36LaubxY1{o%c
z9mq;$oy>pj1wL4{&zh66!wdd}CANhVmJf3(!llr%%M!v#wVJclM>-W%Du(t>FYXvE>Yt_P%50v;M;Bqb=zvUh-GfYHhu;6urs!ymOGrpqLL;oExTz`*
z?5ZCcj@ZHB)!JwF+dp$LJfCP9=K(>MO~Jc$Ol+&kT7%8-rskFyD%u6Cj$jxBs&|CB~NqXU&(nj`ej*eIy~M$2A4LpJ$#{+O|?7o9Ri(w!-EW^DjL$^
zrLt-)i1oF5k7GV39;apz3U>JE*H-T!F2DYIbd2WUNzwt`MjaQG?JXoC$%Q`(eqm6-Pat;fJ(%DIk#pIsfK-U1rwl
zX}_>J6-Kqi`*iyQ_AX75O5~vvVD|c1vfH+V63R>SJk0DAm#iQf!0=pn)G=;G#iv6C
z2z&Q=axEr!p0v%|~nKQ+7F-R`{GEzQqJGWBUpx^hK%>5A~jiEkwQj~*Sv$x@-lyeM
z3s=YdM0*XOZ$u)nBb6^LjM22DAdQsF41Z6lnVSWDsWV*%k{SQW!Bpc3c+iHR5;%MW
z)3ynpro(6GA3fooE@A|J;c}hzI=HqzFjZNK1EDvdjK%(!(1Hgh56$w1mL$LP_`W$9
zMXxH@Z7p_rxv+K4E)A;{nc@Y6LW0P3dK*e{M<+*zepPj%aZ(bJrm@I0~^sY{jo&5cE-6bogrp9t3fBqjApe;HVs<@-oT0Af->%M3H
zn|d)w#PpbK%c<7==%QkOK@&VWW)l#=zqIfm4m7}T_7?Q7I;WpJkk$n
zzNfc=fAf?cIj9}9%wn>5@m>I2jc7RTe+hwtscpypZ=N^$#WXK?>O4$Bxhc8vieFa=
zWt)SATR_hH4rMM|iL?;>1x@HUm)uh|U+&nL%{zvLPSuiwovDS%4z8AaYL^D&Z)dpH
z`*WIuF;7(?$FC=<>Us&L$0s|0&Ra=oy1y~tJxB?XKRyX%HWxJfhb`dv#iSryRk+;H
z+0Fy%LjRpDzVGwPH>5tZO6`S^{;}$dOm2Q46*;UIisR!P%08BTVf(nwe$!*w*B`kW
z$;dOP_sgNL{M-rsrIP~LWOPlt-0r!rtZo)3W(<>;cp6MaPf(f-6PCZWN9-c)g0Tps
zE)+-Agp-=AdmS0->$J5^xjrTZs3njj7=aH_;Yd*Mug!sK!KE1jkl6#%J?GQ5>NQK(
zXqJN9f|OE$OJ3W1*iW#y>2M6Xo^EOJ8`!8j?|a7XqK05)yIaz|zEkKsZ|VFO0(nn6
zib*K0UW*x|B+~$|nJLSSs_6kCxxcuQ;&Cj9B!B4PJdJ|>*Jd$$mxVc+KInz(T6xGP
z*SM5TptanjM(g>|1h12eV_43KhVRJZ+*icG`uqRL!QeDdsr;WtZU#+%lo}h?3Ef18
zNo0j1@;-=JP9-6rI9N~968~tX
zm!A!DT#(XGT|_2%N}bQWS_(2i>VSJ8CbjeSP3BCQWq5adyoqii%LtCL>?zjS&v;YW
z@bXTAhTzb*q%U`jG9okAS$VOI9>vLz_drD=A{-Ib>+5?77
zX*2%9NSgJFmj;~MaM*B7l40|li#pW0?uT&84}Gdz$s^&j<@c*~#5^vw@aX8IgbC4p
z1?#Z*t8D`wMggwmVXZ
zE!SWm63eE=osLU~Yj&(2D6GP|x-&QWJWqAW7#Ssd%71*&E7A72c{&7`#CM=6h;zH0
z%+P^|y$~xqOl|8+T=%D(%jYi{)!iJZ@&2)6mPK3kn9AV&G-(rVbNeCQI?_eGG-dG2
zXLiq}Xg{m!{`O?3sNRNk!le6Lt6D4%iuT6@b^=+*K7NPw(#SDGvIY=D>rEG|hqd67
z5K*42RI9>#KT-~a5pJAM%Z7ulJB;|)JiQ-Z6o}uc=8aiV-*CZNj!>rNYdC?_bDk0?pN;Mi|}TS
zMaZBf(piN~aXydBrT{aHC=hkfB+$D#6fK~i>m4XDbuhs>E0OK&I6G~5rCGp6hmIFj3EH#K-GC@6tFty#Swz52w6$-!IY{t$I*96d7N_;c`oNxd
zbIO{6p*@cHsQ2qqJECWOR{VX;FuH<5ACIoo@Comsml@N5S`M1~FepYl-Ry6koZo?k
zQ`D3@uwr=XjgB9(rGGn36B=tjKw|Bn6}Fg4yqWb=XSvI_-eOa#XUt~TZoXu3f#(#P
z+<3=#M;0mGzt5&!dC&b3J8)nwWbPiZpqxNasgXL}pW%hq@pcp-4&!6S6t_}s?q#vE
z4GcGX5!FZFh017N|4ShOU7!npBtyULzni?PlK~-}p7Gdq`cDLL1f9%JwZDs#kZ76B
zDJnIjq7Q6Qtsr)GBk=xgk9zc^
ziW0m>tKxWgk~?1I;{k#H?FK&B@WE$4Uc&YQ4UMLQw%VeaGxYQF#7BR1f^QQROKk2t
z2iF8Dr&>wzdCXA-nrr&Owxe?f(%Z?ES)>G{W_=9@n_%64C#
zkCvZ?imT~H&)5=6_?CM4AU=5<3IkRmK(coBKdh458I&}^mM6!;Ey@nWTx}P+`hvyo
z0lq>Kp*)1TQoTQ_Z#X*pE6ZNPWj4M0bR6MqVZ{EPzo9fxz2dBV?%*B!-avTO#QVBE
z{eo9#8!dMY7^2C2VoCq7D&|*P+nTi!3gf8OcQQJ7svwC&hk{Jqx>llZmY-&kfOU;U
zoC7)>_D?a&I#`TA`9=xD(6|xLob;XxXPM1vJ`mm!%coD6Y2a`myCS;_IMHS3=Amoj
zHpFwBs4LI@8+yc2;7mKuD47^+iQGDoPrdt$zMg79I>!Ri0gC%hZstUCGiSaF>fO~V
z77D?{BhLq%%gLfTzkf)lMS_;5
zxwLJ1fPme;NW(;bh;{4IbxDZWs3xF&p*f<#aP7rSyZR>D4w16X
zSm07R75{kYGEe{Rz!L$%V?%bYV~RnTft<(qElM!i-ptC!3EjRFqX3I6|Egs_VcL%Dk-`RdIv6APMg
zzVGiMhMk?P3sTnQZYXcN6rsu+UwR8wg$rN!N$yQHSLMZp6JYmY=2_lR2WfF@mKY)=
zYazqQ^*ZcF9QoDdGpD1AVtZW7$b$--2}6}*!o(ZBVGi}%ER3{DJz9n*!BQ(g1C|3w
z;;5!#58@%kl+-~e+_M(tN$(FBa;nP{ylgq5&&>JYV)7(TyMnf`@mBX1mJHWTh2}-2
zr1ZR23JP2vFKZsms)&9w*fYMjf3K)|eWu)yPireC(q>X|wo}5YxVmbq!?L^Hax#v&
z^NsB-_8y4oeOUAd!|yht3m*1~v%VfwI+xQVv%*4Hnr@HUBuK_2jMY&Q~ZFMR>|=^A^?mRa(Nnok_yjSw9}?
zr9lwYeVl(rb~E-l&++oG*pAY51aN&`#aVr?sVxf$J>`U(WGlH(J1AaRx-(tf+hVaW
zx*}k-dVI4?)qGMM<1ckve!ct4G1X_gLOS(vNZzWtnJbvH(dBy;m%{31gGqS5C#=p2
ziYO5^G5t`tbSY5GdDykp9Zliw!y9=ib#-mgqCf&X`BTg(nH_$=}>fX
z8&)?gA5V-ccyc>vR^0t;$oqpKq|ioFd9+?GrdnCWD>P(fhdHa_~H(Na^(65Y1R
zA^gevpV#Bbxh{YVgQk}C&oApsPi!h?%fCpvDo?I`ryiufT5owg#gtl`CRGjKdUBr3
z8G_h;J?p&UQu@W56ay>t?mxlOYbTF{dl2Rh=`L2yob}A@Y`o`py~c^H4Q_B<$hJQuJWt8%*YW_=&=+XWClWqG(Q%1>6a84CD4EQ2}&F8$V3Gi5G1=WrS$K-C3+LR;Livuz
z$n0;_VE!KH#vR^RvhOP_&g|;1vAPa7g+Ebz$}Rbh_eez#S_J0E>GaCnr#mPTG5*
zUOFb*g+q|9KB_G}u>CRM```W;V=i2jG=T6(9N@lmzpmi*rnu2NI#r>o|I4l!!t;Bi|kUyC+_%t
zO#BKy)YeB+LQGm1>;1F1%}qA2mQ2a$OT3@t0%8+=QWA8EjCVp!sIzNJQICe79&GRt
z1Q}gDml|23q{y@+H;V|s@%WQ(A(anb_=)O78dX-O@n-OTRHNs+q5WQ`zGs2ZP0$g%GY
zFQbIh{J4!(ZB3`&vni^Ai&y&5WOldmEETd2W-6#xs}XTg<5T7iyqh~YrkjnAPl900
zD3}m_!UDu!Zuu@;W&G1Eo#g?0+Aid#MMb_qXT%mp$SU&&IY}sLwB6VgciN
zm$~iC59r6h3c%3a&0MF(9qljbFUv2#O@vT0K
zCoL(SmYQDD$iM++5)ah!70@@%;Ao1c^x%?Y#9N!y#^fsc7FUV$&fNnzuCyFB|6A^#
z%9g3vMG=WyKgmgT$A;>XXsZ{*vAZOn%Br4&GMIi)@93@3qmYZ_$FFbQ=Pt_O*d2w5
zxdw0gs?JgvDSM0v%vR>ph1Cw~VV#SZ@-1qQ16uy3QuG11TCtDYtXJ=3lfzG~WUa4F
zv!}!R7v-G3%vV`vbq+b;40aVQ^>2F=Y;v3*;kss*#~t@;UhUpiNO{VFVuEOpP%L1$
zkw~G4M`LglZ1Z#zR$&hrpU->!ek$bQ{(_ZNRvXZS(;8{f3%1-2F96RNIvDo9$j-9I
z>`DP;H9$A?qVsE2XUX+mggKz}XLxV>)FPZwU1a#(>{SI
zr?f#&stog`aKn+RHp74>_VN{Whx~B(cK7!k1<1@|^4jeCA?RoTq?IRaq3u19Dh6N<
z$GWnUkl$-t@BQtA<0oK78DpG);|WELN#N&a>w8Dl;jXsE?8`Sle!YJ0o-<-2e5*m#
zu*`J={-#)<$2Bn#4|{(>qoGLCq=6989)aYarHwJZ8(4C)4K)cZLUPzRm%zdO7B|_cGjCCsn>LF9q;@;}V#|@k
zGY!iwu#vB(BT*X^F&t#y#Ka|;xDao*sBDpjzM!;&ZTprMH9pvzo!*kKBSLyW2VI++
zQ~bt?Z6A}w;eu)}C`(i7!%wK+HXu>`s59~}+wYVKHG5XFk%S^Ew2VZ!M3s$$jh}73
z*&^j2w)B2ALguF%!qnK@&{2hSdoKD%Im4G4b;df6rX%}R7u`vY8JoFRbEusft$!y0W@
z${@a6NtAWidkK-Iq>-NZJoTYV@rKc~Kn!N){xNT82(1hkG2
zTbYN!!>eb`Mo_c_(58suVm|78JQT0Y$vl*sL0Z!Wwj;P5C9IpQ^
zXj%>is$>3Mf%q14LM<6UC&S^I3s`r!9nakzuBiXWIcMN)uwlum>-mfDX>^jlqZ0V0
z0IE0$5P&@HFZxZdMDB+DCxGeTdNd!|x_;$X1?^;m?Yv`PNRa2R3z7<-Hr#MkvS!%1
znuBIf9=LgX;ScFOgIyv&_!4Gb_v45PsmY1EvpE(>ytDWiD)+UiwlXEl`{C1}%e0M{
znQS^~=i&8nA4($fl^llO{3WchzolWJS{+lGMBBk?1Qw>Tp={u5))fi;VZ^o9=%L}
z$Q=9YRTxwi%FE-L+=*zCjwo|{EK$~YOP7jaW|QukAH%Nm5-RXs;Dt}ds%P0uiH-UhTaf~?Deo*$4l*=o6Y6^Vx`zb{jI}#YMqSh
zu2V@K_yLp^T6(5j%#3R5*DWGm^Ykiy%ClOp%x!U%#$J}$TkGz{_@X*DlES8^t`i^Z
z>vs@rypxl?nw$Ex&gDxHZb$jKNFi!!wTVG!{c5(=k#NL*3{^Ox6`h_t&xKFgTybchq1&?*kYxb=e`~iO8KQuPf%QO7M)kzj6|SYFMJCfHkI1j
zf%%1+KRlN^ek`9wC8wYYkwXSAa4Ww|=A#S7w!IevPBSo~5cM+}QWkRa!7Y}a7egq<
ztepN}D6S3^vY)564*KC(v%2VJOd9hz6xJsSjNi2>vh@1W5j@Jx`8(Uw9VHPf`Qke`X57@cWNY%vMoL
zzR=7sH){Tr%yN>i){i*!o%4nnZ~O*@|44Qm_{-pZ%n{nvjk_JpyGAE2oi|EX`1IgN
zgPjkJ?})=>;fL(~&Bm)h40nOLsL=B*Hhukebi(0JxyoafSP!eUXSoV)hbwDWl;*JQ
z;MrF+fmRy69)%%
z280mB!CF4p;XWtyek4&q6`%>sR2i$?QLo
z$&Oj>8%qsy*~)57k$gESw87FHxv0}Tsngt@*w=J)6voZ({oYUlj8KcvgWY(Z-%&9{
zZyvKS#{Y_ONpgVB_uK9iKnYt~y`kGNx`sHFLu$b}Llh2e$A`;6U(oRmOkBMn<-F*5
zDVQsuu{*Zxn)=0d7wEwQ9hfNcMQe8Ge6GrPB>dNAISMsVqwdDgK^+UTIywMj^9PXQ
zZ`Qw39@p)P{OOb*ByT8g%`U{onm#hkigRXY$Z-FZzh1LAMecSGg`+*egXf@f}yeN5^ZtQL8E~8i?!tf*P9tuoCbMCrrF7}$0L{P
zMwWYjR$(+>;K$U5Y75s&r06~o+qrQ2r96?<{T^ly_e7u#)yXMwMj3JuD%X51{d`zz
zse)A`zG37p--KFA1jx@MEO6Vd=WHD!bQX%3YY&8XtIfHzY+lxpq&t>^Cvz5icTAdM
z2$NRAOMt07{;<w#3
z4dT-sRW<<~b*cEO5HQ#Hlc=*z+hzS_lLyz#ju|V=b|${aR}{W7W3_)eoc|Q_91j0B
z?4tJ1SEPq;OPGr+Rz#EIL=`ZNi(O$}_}&O52IseeM^Y7My&Ga?fyOm^7U`3S|7N>l
zh*g+yym_}D~O
zTw_gOQ?IQQJI6#!PtAtpjn$*ohJErO6B8%cY_w%v4nEH7lM%>RP?YtZu3vXphw#Y-
zhPB(>6MW~4Cm}a>!}#$sS>yuiMySNt@ai9$ND>H;9GyrOI4l+k>^F5-=rwG3oUQ!Q
zR3d6*AXhF5+>(aA;z_Ix+j}*(q#8x(gLF@9JL_&2`l?#Lc=G-gg{X5N!QCpTbnZ;b
zYrRX#xV(5+QLZIrV&sc8ALrL&J#i$um2&NAPV}?&iFJP3xWX;XDO-WVmxTSYw8l5x
zXPFh*c8(KqOG*)2FqQJEIBL;!6Z72juRQ3`vUojue}Cl+HYo){a5x2t%Tuj1Uw
z8-60_`fd`cJ<1(ZVSre(tj48C5oJlgP8r{I$~}XqbCEv1>uq@2guvA(wmOlPlNgU)
zK3eSDA_6;TzK8%LzNd0Y95;F8tQoKvGhLC@uWB)!U*W7`c0=EBCrlrQsk@#epOn(i98y^fEg7
zAbvehIp~mjki2|ocJUZear+_Kf<2yJrF*>QNfIct
z;r^I~HuKTq`|r;g(=ak5Bh>cf8ZR&3L$`qfcIB3ezHl_F&aE7%GNW9*0=g@6sU!f?
z@W=?xb6nRDEO=0b9NDxSBL9R2Hz{tjOaEu&@uX}UCso13&GIhnM7HbGflxLKGaLWu
zXNqU(acGlv;xE!L-t9M$ReELZ6TFio3F5$L+C
z=`1j)PV2X2X)m82XU4JkAwz$i)yl;?H`J`#WZILJ`+r)1px#Vkw99E4rVh^3I&8Tw
zm~M{V0w>WfNmFX@rvx7kEJ*Fdwm>ik3QkYQolttWH&l|R_thN?nTT`DcQg>(mX-Dw
z6RQ?jQWJzb|(E0NQJ|@V-&TZDSzHuP#nsm0np2EGZ`ARHiBHGY0
ziZ{?BICe8DvcdMMO-v3q?Rv|I<~tu^+HR#TFLc4TlHaJOC2m-WOGUQao-ldTS1bl{mr)-|Om&`h0xLzru?i
z(ECBlKu|6xiJQS~J`|`c0rs#*(#MZK%Xb4|D;sFCfha}(bwjT@%KeCXjQo6C(Ir|a
z@MoW`e`R3%hb*c}TrT;&B!RJ5tgI4L?td`;aMAG$j^`J)bRK~*j<)1aVp_haPQ8%6hScucd%?aA$T
z%RQ%X&tS}F?^Ilbfch5qu-?!1NCEqFVXcUYHY^!{rz=CgrSBsU5TlHeYk=55O=hy55ysfo&JHl!ug1sF0I3bSBrw(3Wl^;=(8RAA;CAUl1m
zx9xB5El;i$B2C95VjR?OC2h-)gxo$}oLVs*Ev?0f3&Y_|vDnMiI=5hq7v8GGY<%}|
z$-io(jH9)b&{f(z)8xGN5w;ZHSb%%4F=6(Nn&SOE{&Kn#=RHxXl0xYOT^n(WuL!rgM&XO0ZTdu|G}AQ^pd^w?ZA
zj@(oGYr)e=lK1z6>XcbE4?Dc%VuM?$RKBDxE2{Xq&2?qTUG7ox8Kj-~a`DpP*rZ?e
zOUkq4eH6R)S{+}_A2>bvtd%h@aVx*q5VLcSWP#Mb6cPowai{f{s0e5*M$Q=;^(?v_
zYoy3#XZ87Q*IKKxYKyYBPkDMw3W)hC5p!g{A44@F0A+{B{~_0LmSf)|E8c<)<>l|C
z3Ob!@y*idrQS?_5+-&UV`YqNoLB-WD3g6eT6vP)B?~1uzU7;9;3eo5hPXqp$+}{o5
zVK+%Dz0ID4%s3a1SbgA#jpu8&x$l7=sdmm|c=N$ISFYIyimeq*{9M?3myljt(8K)-
zDzwXsU@)*sYnpQ@3^$|Jm9=iX<<}Wuu(G9$xkp;^wPi_tvSD&8mpAtL`dZS4VL1P5
zbM5_Sx4ey9*N5Ats@4bqab_6W+*5lwoI9lixdKp38QLGOul+V#AV}isbWp6!q6A%?ciD^`oPXZRCALq(_il!-2#oRUhkJJC(q+s9hM3s1)hOde8Uq(q;_wYS)D2B
zzgxhJZ^SZ5YXktyYR*;XVklTre$7G^G~Fe8;?r2L2#}dQhIKXe>MVpyJkHYIim5L;
z{;-UgJV(j^HNLy%9cnS1;S^QUL-HVM(A`ekk&;l{inNJ0iT!hQxsM^i*MJ_P^o$=>
zC+ubrxBRz;7e`dXkz?%5PI_op``#%eqA_Tn&|rx+hOSFKtPsoh^9jQTJ+N_0at)EL
zs{Dzl9-lzH1xES$HyTG6=M0`1n)~GD9@qF<%h%658|=q6UOpTUHNbO{_z0USVkcCT
zZ`~b8Mw*vE%kH7e`hICdyMWH0D|J@Gq9tMIIk1U+DAt%$fzq7y0D~p#DEfr;`*4gJU#7HQg
z^_u6S=NZ;heaO2#Q(`Q&q@5Knka4cH^tiCu&vJis=-tqB@qkcT&q9K{OwaWZC)U&*
z$NZ^hcyO9tWJurq+|j*XvEfl%nm5n^X0bim_Ls@ZH*o80#W7rx_Miaq8{w+2C=JZr
z&koDQDv_2a_cL0ym#A
zntcB0S`FgS>hyOWbo)I8J}iaO!R8q8{9Saj!VmAQ+I((Y17cgR)XZkrbFo}m{8!RJHknwXZ87^)D3io
z>kjUzdB3fM`d1zrmQK(|da@NgrNvY*9kL8lTv_^duWJ(t1?`pDJZa}q_w5V6#R@vgi@OJ5p-bB{Fs$Nlb*WxF`XySZ~rjLKUU}&(EoD4
zSel<*mV7$G`cXI_g)+gvtpmJWT3k$NF|y&NBC4xKC*xB!6qYPoSa5(diz^|nbS+nQ
z2=R@lQ$xmBTZ$F0C9a#8;|U6@Fs^2#{D9B)Pcjuh^SWbw*>W)K-r-2oNX7O5gT=cI
z8h&}%{5n7i3Be0lvhMi?{oEA-F-ID6R=Mg%D1|4O1EH-j+0SRaK<<@yGt0_WBcLc)
z6{X-NCZz;@W@a{jg-?#`V+VV(l(1VlQ-CZF^ZU$u`=A?-NB@oS6#n0)MZ=8BWa)^%
z(XGR^YtHi%sSBaXiV$Kg;^K2y`9m?rYSduJ^Dru;YuLL_Jg_o19C#sz7V5cv%k!|K
zJ1@EzJ_8NOb}o6^x<=k`Hz!ZrVDBjg=PD?sY(a$7QVrM#7VEob0h1rXv#(Q(-UEUe
zQcv6@rOgcWm~lYV8D62`c;f+GJoHhKji~Fg0aHk9cn#MS*=Shz6rSfycK?QUKR#vb
znaekk$em`LwP7_=t5Hg$pu6ON+Zkqzj`A8?4Dn1IwWPjZxNkJI
zqrGnRBD8=Z<2RGC7&o`;n6(fLj9*(T2W*7FSyviXLUt1h1{0-w9o0}LeA}Tict+9CU#v(9uKO1M5)0#)nJIwwDNcp
zY&Lrx`2KP?6DE9&PW{r;Yipl}fT}nLdG_LQ_~XGuCZgx5@{qYYpqN2)a5ZN==qO-Y
z2mPX@HNwV8475K=*#$?}{$)OHwtPf=BX>qTWUA6Hq8w3>lo?j^{nK*aSv}{FaYr1z
z=#rklz8@1HM(-AD_kOL53UBC+7WdAmD>R)(
zU{Gq~(mg@bn(0^j8}xzu4i4#e+hp8#H6x1q<*(j7J545<1?+{BHcm(kFizk-r>`%e
z&&7e&-~OV4oYG&VnpK}apWAd=jP)ATXZWZ{h({#Z;-ImrSr^|nRSUTu78r%6BtJo8
zd-d(~mJS3zIk$rIyTx3plPmWTsG>0M_>DVD1fU>oy~&X1?gm$YyhPz);@!UAx1|-8
zQJ@I=k4ac>2J#^H3Tud*PHuZ?CCk;GHwW_1$Z8h(;G4XPFZVMXg5kw7&F;@1#jl4f
zRVgpEvAfso^MdmA?`p$osOOD&WLLsfFsQT`{@TPf6wdiW
zU+yH!7_EIUdNgR1A2W|2wE&bAzQQd@^@)=p__tpT@cpxptBSs)sI?(fD7Fv($E~MB
zfA>;0!0W=~!VpnS?KSpFMq^xS^?61jQNY9qYw%i|h2R(>wKA{kFOcX5gKN@K#M)?H
z29a?h{cjMiUmxxjn~8G5z>fH$L?NyIngHx#!SPUd=@E5%kRdJ9~d!t5M_NiB34>TEaiw+Yy(mdv{z
zQ*p^@Gf5p^(`GP5pfP)#3cQ}-_&%VrV)R#N9R)*6f0xG}b8v?deUdza8kA^u!Ak|_*-_%PXlwAlLgZ80{|R>0Se@#QgSu1JNM@-b5gg|aT0x)c8CDS
zWZ^dspZn%ke)cg>u%$4;rh9)m)$%cHu>ZhovHtl3yOfJ7|ZX!SIwcM~LhJ
z;4o_LMAAC+qqx|5{^#I!lsgZ+?qCR^n|i7mj@
zVfIp)w%3+hon2-f&?3GdWxqgiC!x6F+%rU|6n*J7O
zm5EZBUXrdDK70Y2#YukNE~1r;cwY&#C;k~w}1D47$~v&2xQWoXv|_{jSm
zZ9prVan{`aA7_IJ*|OIbDd_$H7>&G??7?n*{WeQX6nvNNT~sU!aIY>9j}aFDcLlx|
z0|SHxP%3-AtW0Yx?7-cR(2JTGygR71N9gRlm?XvfT%j*8KM4%ijR?UV!Dwd^O=nrr98F6QZ*sdnkcF?T&jnef>slIaiTnlVcXG_DsU)F^qgSj`gFky@!NH_soz<&7za@8
zf2#up*=gEy6W7>$IQw6f@_*e1I=k#ec>oNqbRw5&-Ld>=mKSxAASrRu$)1mdE3@8T
zVp7dX1af42T2}}4JR|3sQ2~~K+Y3bHMYb2SH7(sN)Rg<5Bu&qM-rCq4FbGxrmzP~R}5~!^JOggZip03YRaPJ;F==R_N-A6q@epH}g??d$9
z=24-NMv{3QnSAwOf-wZW5~NN>u`-ljUHYrt00f9|fKvoWyEUBejAs_#OI+grD=z-`
zudp9rs-j9THC0*GOc|gy7>-SpOiq35k~h_peO`BD-FCO*J@~_KQLL@2mS(wQC~HNm
zmz#p>xfSvAD%0l~U$WBVBT%Q>COyqV?XJOCNwA%DX+>
z=uKOip!hc5fTD*w>Q6sc3JF#grlP@lL=Oqcxb-R?>bBV6nEM~mL_ug*N^%T$>MNbD
z6M?wzT7l{--s6B~w@oQIpobhl!nBN{&s0^5ijMz#Jwa0DvRX$Tol$BwIWxJ13&w%>=9EsuuXj6GU*dZmgvf;~RtPCXEl~<-Y`vUh
zCRbbesc7xBDlocqEu*}G90{GXb^)YSemTsG4hTG95nT|!rw6<3?J@6V&(bfe_Y0RX
zxD5Y966ya~jzH1`m-w(ZCgl{+X7w+j!?rX5WEt9K7F0IiS7s8b)-9&8`YQsK8>tJB
zId@n*lF3B`q}Y^%@7OB46m7I4X8&aKem5q1ljB1l{PC&Jc>(UbdSKz!A3ME56`mR&
zFa>!Xl)z4xK&^fJZKnijeA@zIw?Y8mZ_-1c)gN(C0CKulyh4B^g}HqkeY&>pGV(8J
zLG$&gvg}B4)WKe!$&yXVj)*#U`=7>`tRD<)aZA(?hoXahQ$Mz(iyoo*5naZ|?WXZj
zb12@8`+xe`?3eYmjS8FfmzQ4`rg_&l=B5csFAWbZ53VU7YeW>m>Vda6H9-$o27k}0
zFOr$B5o!a=vtdit&H}&!IKLn#Ob@d_Pba+!{cH|=gNHYLwkD+aIEu43%vj5TpO}5ne6YAuhwiMuy
zf_y!;TSNjl;oCbG?f2CWNN6a7dX|UE&LZd!P;X%7Fn91|cT~fZQ_mNaH34L;K=!=3
z!}I0m0$>R$b4Lhww;l)l&AWlE+wI2izhfOo{K8)^*B%VRxj2120HPnHDonPy<(jKE
zs>O;L3;L
zz7Wd3BVx9oQP2%?W%rylce$63mETKn7mm3_Y4YF8;T|mp0IEqsXNH3U!n168ULdf0
ze%+NyQbhunS-rQ;<|P!7u&4YaBw7bwFG^Cp0J?5_SJJV8oW4~n&*+XTQ5mDSv8C&x
zyBpind0-sd1D#v_He7Pc+qa%+>HNnlkWuX2}Z7u$GktWAmiTY5t{xn
z=H+wuZnv(q)#qIbx31OgKcz>?Km9HjvkxXZ8xvzyRpnn6pHEuk^Uq7UtW*xFibmK<
z4lTLWJQ)NP)&VJ1t1CmF54?K8NW{79i2|9Mjn=fO86u#qYhwH;R8uh08ob4{xOBr|
z&Qs{}3evNGiRn?ResUupNoTihJWsIoz6ae*sY8gxr+A)IDjy?>)kbNG$x=zoCLWKZQaobdclV|MJHgfGqBcmX&6Yf$?CA;1MT
zRWuYDYM||ofmxPV!bl%SPAQyYG$=8AByW^wvd^{q^#bG%tV>on8&V6(-|wy{bj2PMN1n$HouNQAw1Y{g0oHHe#1BC
zqJ{|V$#90`Jdr-dg*{OIHmoz>`+Rw9UzQ7Td&Xu*G7_-^#0Q=Ra%_Tghf-Fm=;%v5
zf+HbSrseCZRT7#^C3&$DgOH7Up#r1*x@uQ-GBrTSe{N?B0p;f!cYe6K@>tzCc+`HR
zpDrQq^`8(Q$?sy;h;ms|xa#o%Ec0kg6k$S3a8zOdNQOT5TnQPf0zd9QBYB8o!Bcd=Yq&T(MA
zA@CU@2D^h7Xr{m5+ZJ2G1R0b*ahjK;|Y8#4VvC5OlFs@fB>(IYZ5jeNayNwR&2NmpH~i
zO#V#K~#V5!u0U;lyW*G
z(Q|tg(D8QlA(2B@FlQs;o+X@+dj8rx;R_m%>@&{yWQ;h967!jBnObueiIH0>*=CtME9_#9yapoa?o*$f|!k{nM^MIV+cqD;e5f!P|P^sK{
zoFNZ6_@ErZ%*nYEB8FVkP?FMl8=#c#@(ZeRzTRgpg8yd`@?z9+YJ@7hJ@WJR!&dC`
zBjD|H|K+;Sx`xxiCMPD60^baPjBllakeja1XB1+UR{rxde$KGl+3@J>jN~xed#!}*
z)(LDg(4xC+*K&M7W=RgSv9TonO|#==(fI0-QFiXq#SxQ!+gg$-GmEuhmlYFbk~u`z
zWc2dIME++yw|HJ)D}Ic`LnRTUj(~BCwkMP;XQ^%XT8mjGAdl^$8M+8E3F?0FN+_u3+WXA
zx6_w}v`3-3B7H~h_Ey`3p!EO)KFzsnndhiP4jAyJ*asNE_ps>@m37cA15zrC8^CRD
zhv(#w=JKRKAGQhr%R?7LT5E<4VrIRSX2i19N)Eo-7K$R;gC*2}LRjzO1yp|&_^iO}
zeSLjr%C!4b)pbz@Os`(OLPKuzx2*+{=#f^ro7ZhXmeb~JY1`@&fTr%SdoKFxzTc`G
zEjxbo)I=dPzSI|y6yG3o18X!QQk_j~eMI-MepSrgKF_1dwF@G4?Oy{egu~9Y
zVB0&MQeq*YhL_(D`2cx29-tGTDyxTSUG?9(qtu7dmskijRGS5WGY-$9K_|OAY7Pe1
z-~au-|Dmo<4zkwPR@9htcKudLKYR+lNO&X%jV>|W1Ix{`+&UQVNOS$yk0R)rSB$i5nRE?Q-n3b30x!*`b60o==Q}k>EVmp{<
zRQWXP=>P7@CL;lll{L^R-!qDpzb^EyN^?y`ekIU+p?y3GJS`yHG4d}7P}R(Z$H4X`
z0E=E=zCzXoU&7-BQP$0yi^-ESF;}t>j0nccJzc18ZfY@KDe;2e{>i*GtLj$S=g+qr
zdn^t4sId1%SIhMXXqx9_V;h7!YHKeDXoYvYAJ
znfYT3jwu*+K$c#d{7$4y+scwgDjX%lqw>6TT;5b&V|NN~WhPu!};
z5gT`^b$BlPlzdd^zPF)zsTTqnqMSVt45>Mq|2pK_isXy&z4dN&U!g$m1a-|?8$GxJ
z&jQHA;`;soM5inWwnx9Y*&p9$$C#89bRXNcy#4HWpv2Bo*O{AJe;c&3)!-z*~~kG7AYS@TvL*EHk@e`*7N7
z5`2WKNm_<)&P$CvcZF60NTiS8TWrFMft*+UKx+>{q3=>@N!78>pt2*$mG9-TkZ}2_
zEbsl$zWoo_$m2<#x1vOauyNVD4UE;3`KG42a%5KjFxNROiIf
z-Qo(0_=20O1`h@~rqAXhZZrDI-VpQo{*;l|`LBkA@lp0~kQ--IbuwIG_Ec4ustBI9Rmc9d&FG6wV4A6Wy5XO
za6dhS6$`R2{q|;8>aEq9@b()Q5Z??{Pan-Bw{NG5mr(uU#_kKI?6hjqp3MbN#c$5U
z<;)SQwiVb5+?aDmzAp#6o8vF;Z_O6K4!OfspCsf{i3iI{dQX!cY$`fR9-SpIx@u?s
zF3e6Wx1CRMaoo`-KtH_aff{*13&0~!K&BTK@2nJsMpf(79KaXvxL=z(3jlY(Q+qm8
zkB{N3xsAMCE
zP18&@6O2aF`>^T*eD1}yfwt~YE31d{2#&sD0$cAPe_dW7qv4r%1KQEg4j`54qra2A
z#z&i}?uHg_YiF#!U;5MIVNzw;4gu5R(I-v&YSyF2M=&j^yw8`(8UhdDT|JB55A>}M
zXL*N6daRnc-gF5W`Q#UqdyZ=Aypt2wwBGXcjPaQ>Y9$9~7>UcN9ih8^98lZ3Igwr)
z{cfAosPraB+Z|kr)0AiLo`YHzV}XeYADvJ&&hE-=3v$3AiSyU5=nO$n>op_b1B`x&
z93CDPzFG~S6m$v&jLEB{pojBy5vA;-_*#~hmN$;>-o&OjhBl`TifWm;rQorpWX+>?`V5D!`NV0$w%fTI*o&!j=;6uqoD_id)<|IevaAJ0<6_ctDFYzY&KD!7=
z=_=rYknsPQq7#6Jhs)3orKhz=mkCg*cdJup48&G#2vdIrLspQ
zADK2B@bFj;@&2#JqxCaTwFv#b2Hwdu0*uztP^(4lfxCAVZEa!z93s>NJ21$|$UMQs
z%$eM)oU{I>rdDmUz}I@a1pBI{hS@I1+0q@yAg2MYzFoLO94`%G(Ri)Gb%6KNR@x>O
zl;RJJ-|uoqD&H%{Y;f?s6e4QQ4TzuBcX^D_1CCHveK`?Ou@Y$JD8oR*=@ooKDYdk2
zB<2&a83J_3Mft*K7XgJycU_g81gij5>W?{_jHqwvd4aZ{F>|B;OuaoFQE$o^BwcVe
zM1;4sct>u8L}d6zT)R*6Of|r3NNkOO&FAL6mjZbo_OmkcS4AilS$B(mTBj5&Bfn@o
zQc)G`F8;cPg#Pg=2(Nu~RVufqF0n#yn&^A@?zkhWjKco{6_JCRQBX_&{xk`#RI3iq
zjkx8m4A7VAwWLm$s6%=#JVfXuBUgW5Q5#(BPcPc{QCZJbWB7r*HYgTd7HkTO=Q*uN
zi(fZ?66Vv7I3aKrrKU-hRL~aLu{;~+86G!&D?GS$D(Q7TZcu`z8!_03X7sw)ko1o#0e-`>NaD)Fj$+bm
zqs(}u{O-MNVWKH+$R)APobkaoXK>hLA7|C}@BWq>AIF}IT+MTdI8m2xZ-0m%4Z~i(
z?0pim^CieCYVACGe0Q4S_CXF;p7|?a3m8=t(CoCz{=;
z2;$@z0?V1i_d;xLZ=3oD1aPHMHQ<_>nZ+k2&TR1l7fV7yBa`%_kt{J-DJ>H9&9oI{
zzAwolA^DqO!YO>5M
zor~AjYrrqL#th4{OSjP8%nbVZw|#%9EXtp&Ua`VS?a3-u5pF}1RnSzO0?^yC;rq-3
z72nqts@NeS0VmR8G0-|5ZMXG~HlvyaUG8T6&`_M!tTwTj^^JT9y1+dwk;)MZCp^7lM>_CGGJdy`sF-V9HzJ2zp^@dH6|mHhDvK2
zf1t=xu1$?HHQ)_wlW{?xLGN~qfe_u!H%y|4{;4I^{@
zfnHmDZ&YL9G`DeZr|9l
zI87jF53IRRl*<6zC+jq0cS$X&yaghFdO~xIy+GM%Jo~SLEdbg+gLGCf=!2ehDQas|
z$R%+&GrH1vpDQnW9F&PG9Y5aOtaS}1z@zk`p_CY%+VS8hQO@$j_5)(U5VGw)^u%Is
z7qH}nY5#o#(Q9AjgmeR11Fd4-q_rZ+5Ak`JH7z}N{#J$H{-FYj8ekIpC*urON4ez7
zUWy8;ZP&KBF1Qf`<*a`DC@_)8ddZ<2Mzq1~IX$(@%&lrSewH+aK_d8YDo8(+B$b&y
zz2}~x7t%4-^+K!uBcZs^Y`CXO3o6fA{7V3Y!Jp%ci$l%sXIIFx(MN8l{Y=+)Fy9pr
z{`5^wUEQyS6`uw7Ma?}7E+oSucT5EA*e<3b6MBEOj6uH$G59YD5T5ckfA|#G*BB%E
zYy)j(_67#v@4UIk?U!$MQk+!SmF^70D_j?5W@;;~LT-;YqYi2`nt5Jjl)DmH
zkz3zhQEJba*@K&76C$6kO9p-MDeAB}+}yL*9eG8zr384Uk~o$ujw}g_J&JerJgbqE
zqmxhw0;G{)7g3*71$~q&u-K24>;m{ZQAM{K!;^+?Y}zMZ^z}ype4f$21oMV@eqsb$
z)oFnr?r$w@Y%ut}PIeoTs8|_&YvM=K2OFW+N?}({VRTe>)=-q9Jxo
zk?w25o!UZE?*Pz3c57vXc5FRp&vt}dK0vFkyVy}XXhSL-Y}Z;1b=*#`=r(oqg%uWC
zZaYXARqTj(RQ`Opo&3&`B((ikK)VCLcu%e%iC?8Ds5*cfduhZK)}?ZC!CjB_l9Zb^
z{Fd6*cSTs!Ib9*>KtRgcOrmCvS
z<$h|6gG<$Lc(*Ghwq781XOXq-we?H=YQ(h_y&c5`405&|@|gl*p7On&-_~GKd~B@v
zmoLvGbDv8nS1ue)&CFDLB5X6=x5+s4ns=Lz0S|Y{f`c`iP{Uc}3&BJmq`r=5x&l10
z>+=Y?+*D3KbMb8weyXm~!KrT^UkRGu%z)sf$UTMi8yjOU&*=}GfO@9fb5GpysZCUF
zGXr6OvbYD+=@xryyBDl#X_9>&gllW9pFiJRSSs2b
za@@azER7&vu>=O)#%8JaY+BeyX1tuv<(!`E`+R!Kf4sK)`!)IgLb9MEy?DnFq#%tw
z${1=2)|oW4p)J|Q<9^-B49`}2H2k>!ao69ew^!9T9L0kOp>)u8;1|
z#2(^zvV2>mplYhBYcLp$xM9v(gFSkQ*9Ee)Q3rVAqVjRu(Y#{I0w^%Uy=&2R#al!x
zjkNb=(8(TIpwcK>yIyJxW}z~iqf54d%8}7kXut!GK9SWpY4lYCxFKLg;nC7C`qwS-
znCI@i_zsS&0<~>uZ3ZASk%egBhHXmk`ubC;tB;~ekF~>W#@cI#^D~z~T<)VEjKmy@
z_9bA?K3yZ_+Y`O7>IYyxd&l?`cLWnRNaj>^w1|HmGlj@2VnY7-foP2YSZ;jMnq
z_XALh4?JWAX7rGWy!6wP0NFfv(*om@2FdHo%oJ7N@h~CRo%&1xiH&+CGWg)bw(Qz+
zg^xE*eE#Pe&pwQ1c@JQfi~@PCLjD!WykfC!ZO%h)fId9j51+g#Jb^v~yWgoYlk2Eo
z+QS=Ga&=864CA}xZuBK16dWREZqks^`S?~c_YfsBqxFzOfm(_gbVA|wNHXqOh%2Y(
z<>A^?k;>-Qma@KnOhW^|QE%k;fdm#5oC7=VtZ!}c&dL#^mmV#VqywQ;Tb$1Z*6N3-
z;d~5W%rt@X^Ff0e$hmWjwm`|?X8HBhcXGWOUxT{GW7T`QUTPwNh$BLscqr;XB5=;E
zbmAfUPs2~T{-~!2TG7kd%19L)2y@M!tle_tk)RE^3)E(chFKs#qXAZ+o!#b)@`tU&
zwn}ew5(j`B2Z*zFVGnm@MuCA>C);cx<~H_=a3?z@QMk-+;Ac<}cLMBWq^m&XjZ4;ZgWzhpte&n`_sMofiMQl&f4UAzufD+^v9y^!_C_
zExtSa$xfj!UY`0^fDY~R!!6RTs?Y6He9Fq5iA~J5`LN)IfX{XUcgMmjAfxNJ!+1$D
z&1K_3Df9nm`s$!4-}h@&T0*)(1PN*BmX?-Ay1P3Uq#NlDL0Y6BQyyL-W<^L_Yy
z-`^iQ48zRMaNo~!#ktNo7rmjNOpw<-At5*YU#70NRi~A-FJJf%R?6e}yJ>i3P#4(t
zayt>ptL+`q-T&I>67(CsFdp~k=4a-6IilwqnB$(KN`4yVDz7x)&}V$l*7dUcdYSG&
z9$cQb=cU9ki=YCy8H*wibLvAs8;yy<5ye$#UMz;grunnfPMkA*VPD+&c2?$7rMtx^
zM;9TMHSdsP;Xmd()xsMT%YEW9_sr!b&$omnn3e0@t^8-v=u{i4!TY{^YbUmq<=t98
zkMQS4Y&Ac}8f9|DF4hKbx3v?ER>b|Q-+`C(G#us&BF>0nHe{>;0~<{c#|D)|H1Mu_
zIY6(OLNQzVz_fBsk@ab|$2?ji8zWAWQV8t4^g(M6MzpT3<#0C3Kl?7ys5}qTcm=&q
zhfSl&w`SC`k6_sXT9ZfcEIfZXmT`pwGrG-P_{`>tPN9JsoBwP0Dzg9Mg}IdcDTyCN
zXw4dkPNr!{A??kbN+9O3dZ*#$dgv@W-*C7#ejKB1ax{kLc(%mS5?$Mn%6mVFG~#j2
zzaQUkH0-?MS|Cdp$k$!3XZOX55yx-2uVMv5_4)m@|NG<1db>RrM--Eee^^NEmjUd_
zw`))~#~4vS#jC7AmKJkB((&c|Tov*Scpm&RI5?9Bu|SD_^hzz8S5f2;EQdY8I`T)-
z(OJ-Sh($)mi!*uJi-VUsvNlME^OJeU-sDxoR#N
zCGX2V@w7YNZ-PT*nQiJ*ne6etDfLpkS8k4AICg_L0xyH8OZhe41;Bt>es`7B%5DCN
zM-^n{uQAEJr@yi-cj{JTld@IsxpI%zvVA_*#B52bcP+Tm7`%U(ieKUKmZV=n0wr>H
zTk#okqBDyX&A|K0+mLJ4m*UbE{U!3q6{*}bK5KT{x<}D4E~iv)Nu3>cj2Yj_UGJuv
z;zd80t`I%doT3%rouC+2UZCaa`2_p(L;LRw4=gZ!640sa_7eaH1f6)+_d0QZ`}W=G%<&M!ReY`-E&ETy6|u__az$AK=kzQH%xdFs-M8
zE}e>@qZGLgNd7On_t#l`RHOZ8!CdY{Vs96G_!&9Yl~g;{cA#qe3G_V@i2A1pp*Id|
zfeB4ek?VL=4WE{y*M1&H#jqQ2wE1mOXknEN=mXpxmJ+<+g=<9Q;m!FqmvQ~vASQAWI7biX`w
z`82FyR%K&~D4Aaoxo|g-ilX#Khdrj8!gOlUsLNuydbR(4zvI-
z>oIo`u8Z~Kxbwwwrc*9Q1z;K!>Dz&n)Y{Bg`mC>%QydJmND=kz|Hw1BEL;DX5;4%c
zubw;y7WIb2l^&W2J#7nw#^Bue{9_+hya-i-B=v
z77|LuA8o&do(rRo~8Mo=E9mRs!r{SEGiOCG(xaEt-
zZx*0**0H((fpUL(Q)G8X@JnJ2F1{Se##bO;B2%_-useO&vwmA;c|yUgrn)OBf4f;s
zBsDq3K{$L=y)TjQ)%OD5N$;8PBoZ=H-6&^%b+neh{wRoR%lFcYO_I0bL9r;|=Id>a
zwL-NGI9Xf{RdIbPhltT%3H=6bseksn&z2Q1j0&jk(XTYTBAeU31;+APHCiVROC5fa
zrfTePJ3G;&g6iGZ&!*%FG~&8b0Pj#S|HQu1zG4R|+3JGkdRr;7=4m{V{dctT*Ht8q
z1=-AOeY|&d`bFXu%PzBC@fDAho*rIo<<}iZ21H4BO(>-+_n+dm{N{YSk4(f7VC@j2
zZ4c=**k4f4mY{$JyV*01ac|E>(00ZxQLRf)6wyZ4O6BZjf
zUUI7K+V}@zbYOe1@1kr7M6RH-7w8N)wQcLO-SdfShixYs0uq_9%V-m`ZFn@9x9N|_
z7BSj#N}@{BXdzm8b9U9rp4+6aN~)J1ip*cqB>lo2FBZEL4hIdn|Al=8^2C
z4&>Y*%j;9T{DEtT-EQ_`Gv}P~^6oD^kge-mJkx0LK6sC&m)P^}zjQOf1THlPj>Ak+
z!J(hS8@MmN2x~QqD`&bxcuaP*m`v^lhvPN9qFZG=K9)Dq`rk*Q2s*?L^BY~f%L|jd
zqn7HOrma)g)h_ws$#q0017&p-HJNg!s3d?5L_JDn<=NevGO>IA-j-TExG-E&ln>~r
z20<=};LG(Q*-G3|7xn_3%o8hUuwu-~QG(sMGCXHLKU(1htpZ4=x69nE%fqpf$
zt_n-CGI}ih4JnhvXSi~}wk3!V^goXMp`~lZkgoZ|=W)b~N4L3lt51In){HwO?~Q1G
zf=9b=pC41#tHYx}hZS~}?$gUBo)76$t?u6df$p!0F&!C^Ev$4#wO-&I`&wD$4JMB)
zcpNTW`e0q+bKtt?2>bC^mn|TDd}KdqG|r>%{i#BK0xjS~Qu>*4F
ztS#>Cpf&N$t=B_ie~r4DQ2S%7;PTPaAG>I0c$rxTd+qhxvfkXI4)UoeSb6cl2tMj2
z{CmUSuxoH#MTKv0(M0!+qhBt}Xf@vC;Q{Fi>^+u8U89iX8pdO_t(YMg5!edT?Oz2!
zG*vMRNPr-MyzxJV4|x5yXY*S;Y?pRyo4KwMF!HxM{T`qZ4mS#42cieL%G(0qhNS7-
zpUkqA7GPn?im&$6
z)gmGedA#aU1-+STyyp;3eGRaQ@~Q4@1>yE;Kk*52`;O7=vdACI?X?n5nGZNK*9L%>
zU{zWtsd9YD<)ouo*9r!!o49WF!+k&^2{5Jar47bdwnOQXL`V2wddA%^O>wnSklApZC2YuQR~^i!;V;sEgH!L-+t$zUqDC;OkbZl
zP$hqwMLPux2f;jd6xBxd;Z}f10RyBxl>^FJ|aHF&tX3o>#
zqgN7SZzA+Vzr2rFy!QI>_;JU2_?y7;SlZoJ_e=K^3oV>=x`EtJ#^YsgCra2qzL*Vb
zbXB-28>^Y`#Z}51F2v)ufzfY9(zYCRHs-%JruNzWs#|dGuF)e12g@Nkx2Z*)mRdA4H2)jyftHBTyUGNfTe
z!>N|rH09Sy(?oQK9JsDD5necG>b_c-K2nknu(Gv2S{gLCtdt+qQudT5B#o|4!6AL1
z818MjXG>IJ;g#;x(<_>G
z*rTVNF&+XwBT3sz>wh(zzH**Om|-cvJxb9Br2(Udz-65Q=AY+V1F#pc^kyp-=iNAr
zhT7555dbVOakVhr?IVstL;9r<_)Bc9;c^!i|Heg3`S(W+qA(jDjYi)P`;60*wNt2i
z&7GOO|1Hp#`5P(a+vP3qLxM4DFoGN3tQkwcl`vGG!5Tf)R*LO_Am4yEYzM&DT_q~L
z;`W6T0{S7<^JJGJZ=xr9Z(`huir%77?iL7-J8kkL2fX$%8~GyqAtEXQC-cu=7ov=H
zVQjxZs6RNQ%#>SVqL>@o!d9`Sq4d)XA{AXs@8Lkk7~5x|FxWy$mN71Zs+#HU=()yY
zW;!ATupl8rh)>o!5+Pq{AfRtZ;B1C|-vxDxrtfUje6PwI
z1K2N6dl3N5E*lydFtQ7NOE9^7to3{WbpAe2@3k#}-$QBN@yKO8`$t6S_g2-umZNbR
zd-Kx7!68iCD-?T+Kw3$R9*IFgX+A9!d6P0msh-qL)G5h7O-{weKCAiT;Qg5=>uzAI$Q|zh#TAtgpVt0+ru=v|>#gu<
zk<)@GP2sF}Xso49rJMGh!39+-7r}qg8~Z?n-h!A^P;;;-qo(AKh0)!y5+hj9_-i8R
zI0Mb$o5|*7uODz3!T4&5feKQ(1)>|gc>LpwR*rz4!o!=S>G}sSpVM0*h;Zd(YP%kz
zZ?K2B_K%p6c6w4A#PCR7NC@0u+H1kDRKWuq5f|n
z#M8?pG$akS2Vn=$5$1u^QL|IM&saD$hRAEGZi~;88X+(jTBps4A%5
zI=ax;*0=b#>t6yq@#9zY2&CMa`ef&Ng7evoL1dX;ZKy?^S%(V-%v;!X%n~9Pb-T&d
zM(&5uCw#ovURAbR(uZl`Q9%i)1oO;QC8T~%IHNnu2P$%#)tZXotEFUwMPlxb)o-N%
zz)xx3Py9qVt#38MocC@z>xvyqdjhL<%n88I@3t?pQGbf1L6&8v)_V_FZ%GF1^~1tG
zY-UtSgt$a-vg0Mo!l~kx**unIkD*eOgZ(}X+e^0|?phV}xjt;SQcM{&crvy%I%`+3
zcfF0#?GB7vo?*@r<-g>cCxg~%ogyYi)zh(YW8P@J6wF6S0Oi++aDpTHW&YPo4q*LP
zrz^6+IQ?k0+_)2GX|XD(vod(amp9-Gz*LTI5!r
zm*}(ac0;qc#Mz5M)HjvynH)GJr25bL6{B(Y+@7k-T1szAfx0utCsAIztZ&Pk!(V|L
zSLo2vg7+wENLOkwCiy`R$~q!-yO@6wYEMoVA4i&)Z?S#j!g|36QjzkNIk(%|HG77
z?DCjvJ7q)4?Ea8xRc}gOIb#)~2m1`>L(Te}XAB>h9+P*2zRzcqo&|HgC8ZNqu!QZL
zvHnxcq_NR3I%0=J2#i;|?gTp_s`Zk*tSy
z-P#@SV7@A{eiC3j`q5l42M@aCVTw&))Tw7?Y3$#&gLhg96L9yWF;B2#mn*SP{Nv?|-WHLzCp2WxA>wpmxO6~@Wv
zwTIo#p`*ur(-lE#BXwGFDqKpc*&L7CTF1}Fo;4Nl9-V}J#ojp6THa}scX()wjTXA=
z?&x$Hw~GB!>U^DX@5h#Q`cM9`u|KLDAgxYy^fW
z=1GJp1N-<98FaLi>_VOY*DD%5pB;r$J${e{$Ks54zBt66rC=Z_?0lV!kH`Aum@333
zP2|H2w=WK+#s(Z6SLP5dudd7hrUc{nnjk^%D~HWq6tj`kt{-oZGCz_A-PBBXDoxkT
zIJX>5HiZ)zn^Z!q4Mu#y<=0
zQ6cQj%xt4p1!wiHQQo(qSrsKiUW6I5dZ!{2Gv|W|dJp&PC#}((1{;%!WffWc=60`Z
z_oxjTm+p0_+*OT`g?%@;8f=B6Kzf`BMFVW^j-T6~^nBABJLpTwI&lNkYcP-16Zg~T
z^6_2#e!V1hFFByrMx&CKmmeG8(}f%sczJrBFPP_48+5(Cg04YIREjdC_4L=Wp?p}}
z7!pdUSiIRK!0JVAZfqOWFSkbg_D;F^B-aOrKA*J78VhE%JAc1PKo#<`-<4GSz*M}2
zcl?J=#ig>+Y-qe4u41QRZ3DaY_nZ{Yh!BBM#pozm;S%4znN4PnB-^4~km<0-9|
zWBcrNK*aqqq$Ya7ZjVu2yJ*hyo>0@rS}VnQj+AFX`a!&CZoZE1&y`H0hlL4AtYBK#
z0ErA6u`8oa=E$;Mvii5gCu@IvGLpf-SjD51<`&~d>r5d~IKbRUu#4y$p6-c_FMah9
z#3u8wY27RU1mDe&7caDsIDdaQ^IDGDg{Tw_h?@mrv}A+*+E@U>TONmXxFW?Iv%8A}
zfV1@V<=yjAo3k`J7xndqamWYaGt|MAmOd*xUEirqYaRlKflJ<@O(jm-me?en1)XDf
znv33V#8pDSB4Bnb}OHz
zTw?kEyjXa#orUb$13zQ2u^0WqnOUyKFFKMR|g(U6}|bHmNo>uIl68LZzojp
zA9RNi=y+DYN#06e{PjWgQb@RgsT-{h-(5w&(#&uMiQ0g+xhOUUeOBYQk5+!
zy%S{{`-yOv8ZMQ^)rpq`!aJhAl$^G%q+p*AOlG^jiiPUE)84C%+WFZ>_6E%CE)Zx*
z4PrkC{8a7FP
zxR`!6`J)j-6@i#BX`4Io9aI>e&t2d6{E3aU;%4%sgP0n=_sViL4m1&U5qat)H*>C2
zst7ENd7$yh`z;*}*a~Vldy&f8L)LxNd8vR&IqKCZEHk2%^)^di`Ducg*?u8XQJIwO
zdM!dxbPlT2es{p39m|7LfanS@beG`;j!{uNZA}20i9}rT_g2qkW2v(qL?`PG?ucx(r=LEM03=gn^5~`Yp3_^-jCu^r#i(lf)#8JiZUu2}R!R
z)_pb&juwhSQW&`J@NfpZcS^)1Z?A{bd(W;8X3N`PS2;-DMC8#q9N~VTtAj4Rmt`NE
z|79P!EWRY}H6I-RIX&-awK8?xOH!JIa3HL*TF){nWb%lptE&rFDla3WmBtLPt5z1paK&S5W5G`4?-A(mS?7M$Ao
z(G)RXYpqyL?UL~_2t?9CPUA7!;Pb*>;aX}2$(|8|FFevN>gpFAbB^)qrxj+|0C+YJ>jbjW3U8q)uHhTjk1d#k4@a~n?>^7VIx5MM_|4b9_|SwI
zO8*xgacCRnqL$h`*=J^Ef`W7&StM6iSC5w(V~N3sZT?4VRISgu$7IqO_8{J1&kLRJyYEw9
zjXUq6F7Q&AH3PUSH13sE3&%bWhWKkwbDob4Tx>oC#UhN8=;i$FGIcaH`_I_4KxBCL
z8(6v5GnmR&!T(0z@9|O(va_|-(-nwB#BHaepYqYppuAyLVe_;#yh4MmJ#Hj2y}!3A
z3Z!^yrOwcBhq&jssxS2TFH8Y&4xzk@Hbc-xumCeya#GrGNY1Qdm(k7ERy!mPoLfz1
zl0$4&1yiK<8CSKfJNVK}8_f;=vE{0$nT>?+EkQ=blmucSd?&op$(}WJ`g0#c7!a~B
zF1$>?K299)-TnYnc!poxUP>W&1O&&6eWktXE`xm|munv%pO=6P^aMvolfCGlKGJ0m
zGo7>sRZQ>6zKyR~^!@d{e7X(Be3{W`P*&FCJt;0qeur9k_MS(3pKBEtp98rJc+ie=
zX5A1Od1I(6^WKPIN6dMULOld=Ht_~El%dqESFeGvWRhK1^SmXans;;Kge}{{oTqYZ
zLAM{jmlu^exz&t*h>T{1i|_5dsjB9~dN5hJYw9+8{7R`EE9wk|BojfG_E2c~%P7B}GkGJau*i2ka?4mDxrI{|W@EMd?8ML%
z%nNJ)`oA+TgM%$x8IL0F!gAjt`Ob~9c8tiHn}`-u9i%ryaV?VOl|1PEQ2m&QdNiMh
z-(~;BG-m?;mH2c+f^SrvVq8s-uM)s^DETY5^{=Owr2Y6WXxCFfHBNq*BI-xs%ExPX
zH8oApz`k`2Gg})S4~X35?pKoh%mQ@>plWJ=!D{!_-Q2vd_bx7;R({fd{nTDsP@z+_ft|DJkKvO66i(MB+!xgliJ#7v5fK*gVFl=k%(%jETlgW8i%G1gr=mo*o2Qm(Eh)N^IN<>;L_sOTbgp@w0dy
z4xd?(iiX*tDupHlS6dKeics?&G-dAcVVES>bcdNs$-UnAQ|erleK7i7U1}<
zWl_a}WpP0fq^3(@<9caVeMd}!boxk^Y{m{3QTon%7%h+B8d?DYNFQ>BTL{e4IYpzh
zGMV}U(ytCY4&<1PkJBYht*H!Ygr~<)>o7>Ne3cgN=S&-|ZI&~mt4AaHiltP(6m|af
z3?Io7s3TUmOd9%a-c_TD&nQcFToCq4^3`P|ahsU5AB~4C7fEw-GpT^bPv841$K!dn
ze=wM(mDLAk<`^J(*Lq!AssGV*R5QIkcH`G>08*ge6Z=wwZGLrioa0tMK$LYqi?;X4
z*FbLqvNX~QOCe}KDSlTg))5%Wzv_QF5CG->)35VyiLPk%fH{|IrrVAgk5)Kt3a`>U
zk~A8kC7ZOo+g$ux2H91e*&Ew(t~W2Xpf?3wpqks*e`nT?82dJ}C|;FNOftUSUt*y*
zU6`QGR%rY1V!ieK4(Io1~l}ujqn&I
zx`_4Mc)D+P!?F&XO+?&csad0AgF3rJ21eXPQr{b}IKXrj7o%!qUSiUlQkQT&G8L8E
z*ydI}PstP`8{>psw?V?sQ9f{5>?dM0eQIIFtwgcdwHaUh!j?y<@@4H_(r|XfRe7!*Py^4u%a2TjSz`2Eo&QUEnP1-9Z11p`H>db!rjnk?}2I*J|VycmcD?s)8c
zkI@&BO{hok3uNJzh%%M?>QuCq?<>kXqZKRhCjZc)%B-R1PwvetZP=v@1+mOA6eMeX
z#rtPxCzVEFTeF|4E^)3Y8vSc?yWIis&4OI5NoLmh1J0MpTEKsP%rt!N0aE-vb|!!J
znovb4YRI7MjV|0pfoEEIba?w|_`h2!7RQYm>!JJ+Oq92HDj;m
zhn3{ezJHD^}cPSc}tj!IfASb@f(9lre@nY(wQ=7<_!XYP*88Q)7
z!c9+4p9gz$#|r#IHZ?WY?+$#unkN;>{L~8q3!p~>}DgK2CU!I)%yX#
zg|VLZ31?^Ac6mib|J+=opI+2EBhCNpWROuwWEQl&Mm(1dERDQ}D1kmN?CeTs*jh`R
z*xc%0wH5I!%O|88V!5cdF%on&mE0AApi&My-zxa5U!|>
zw%5#;rfX#8#>D1cJPE@fMMgMVuCf7ZZT@gfmQVY4ztT*Nc@g`L@n_52lGnC(1ejUu
zw_#ML@^XzfyaTq4=DBm%emGMdVAm+7quQz^vhZD?fcCi_c#DE|!t!bg
zAeh>NU?gyIG&r=1+0+68%br4?K1FEg`{IH1APkjl0Sh*}m41&5v4U5c&uxT&Hsd|h
z7|<#>6fVNX%0>>C6)MC3q3j%44iizte@&(T`8_V*lfxE4GV2GIHhYS8MD^l|@LQgrkd|_-aE_rXN`KjRq((@0W7JN~(ps3vQecU-P<<&tV-hf8$y!q19Fbd&5&rH8+Vnsn)YisS23OAOyDUFX3uD}MkskCJTx;D*GT9UDr
zsM-aNr>85n?7O>rf$Ltc_U99HVA;?(^azU^Q7RnK)Z+1=2k~(g85MPtR`@m?)|A@`
z^Hbz^JMOe|H_7&Ug5|VQyYt`eu=pLESHIirf6osv^+XLO1fW$l^R26%csn@VWasQz
z18$@JX@|avT)JPx#ESOAuPNk}*Ly*_(CDu-M}&`AtuG%$Z+f70`&LXJfJX(*t2%#O
z-hjX9gM-Y9$P0NE&3!b-p3QSIvo4fAatU}fU$i6a&|X(#6XP5zTMBvTwFiT&MGoewaVSDC>RX)
zeu=(*XlpVBeHh9I3{kA#e+J^{m~WQ1+wR1+{qLCpf2+AOI}T&3>KeamiCG_4r~4+`
zW*e=PgFiL;S~>$1AaLkfJF$X8vEp^5ei(-8Oq?p2jLY4Vbgn4$Oiyn
zMc=K*XgX)s*bWp5DQ{f;TPU9~I67KTU5zCyZ0W<;8!ZYH!^o5X_?%buYg&-p$CbZQ
zCWFPPgdXB)Gi9?qlk;JOKlzKXX3m@^C-V$9Y%Kik@dyJIUuS6RK(vvxRaBiHFt5}5
zTr3&?S|BA@>6>N-N0PQ=%*V!xfL?!x*U_hq*O>0KvHF|9s4D!b4}a;=8qicV>
zI40Mvj7pEhjt@|8LOSM3jH{&_=R`T(Gv97lnz}X6HM@6>=sx7!Y6V+vaX)(p`AS7*
z4J={ezAM$REU}}c?hQ?1VApJ595v0>C9t+Y{>&S@BV+H
z>4ez3VXxZhvWXlFqU?+lBa7hlP{Y*s*Re*zAaxK@P`rMC9#!bJ!i^ueh)YSi^R7kU
zG0fLl;=lz52SFqj`
zUFU3P$||e=K=Z=I|J=60iWkiUm)WW_z|xS@UD5TA!%~JO=-pgIM_2Ffs<=RKl=W`U
zHH0UjRfBX{qf^j&00)n3yjJ=l|69LH`&&$dlSLG{4E%u#U4rv-t||vZY{QKT^aMsT
z5VeNGDSN#3q_I)~s2m^|r;VEJ
zjSnebk>C@m<(zo}!iY&R#$H6%_Oi8(W7YYj&o-=CPLa
z>bU8vt{VHS`r8dG&~mk#0FxvnoT9Zfk3QEYE@icWX)bMDP~+RyIdPeS;e&hyf228!
z+@`%fnKKE$x5(s7JBMT76h|~)MzAbCgtNfc)k`#5;4F+Kh3M~PlRUR&H8s3XVRucdb@vs4%8LAzWBPPQ+Q
zRn;6Vs}O(keF}T;HwVAejc2)?Rk^+2CCY&g*q8j#5sWELeUi6{Jj&@a+JF|^`uH^W
zZrz$c8?@#g8n2Mgrvw$^Td~_8)vC<889Oiu8PEyy9xR1W_Z%bm90L#~Zf>FW
zv_?U~IkuyY@~0q?sUJpxBM{kCex{g}&`6!JBW>M``q7LzJ$+%u!Cu?it%a(4qtLmM
zv!oqMJBab;gWIc)v3x)jyxFbwxj&|Jn3{sNZ-(8A=vG}66%%mg*28=>R5GEC{6Hm`
zJ#1;U-db=wcX4~-#t&2ngq0mne83TJ4aDM5P^=wz6!bt#Mn|*V1>C3EN~~E4@9NYk
zd(S>V2Z3}TP-9I@TgI%kFxfjDrWpWkS>w#j{Yl80?eWaUp-pnm37@MIXk|uhM$DvL
zWgTNuk)(WVg0r9BGd#S@rKi*hfr#qr-dBYD3&Gba=kh@V`!Uol!T?1H!?BhiS2=Fh
zhk6ju!=z|A^WrfPoGJT;{gdu1hV6Qor43XMKs;hF-D}MTa7d3wpUWX18rzf3SoL=+
zzxLUMy7~!j)ZnPU;_^!!s!1Zcxg+Awxp>Rpxcd@AQ%AV~3-|bQbh?bmK=9+x~;J_yH}Fw2+>7^6fKDpL)q>JW;*7r?);0{8hu^F0}3sF{~?0T
zc9l+ZGQK*Bln?WuOHtL0BoxTCda5?U^ae|gsr3-P^rs>_2}U)?C#1L15oMLKIy<4U
z(>8V>%?NV@JMVq^Dvd%*H@NKv&g)F=eb-N|r^|~1m!X?qJtUX=Twjv%sX{-Z6deo?
z<Ve#8fH5~Twp)~(@(0Qs;cHrAX1yGKVBzFk5x#YxtP??J#R9zr
z&rs^LgRcMwc;zu%PI_LZ%H-z7EU2we7$UP
zq0wjGgJf%TIY~12RsQUt#BZ^4NbnwxQ}T}F39aA)OJb-k?*J9VcSIw5W$^mRnwGXk
z!0&)Qh&JMNsh!26QiYP+Z=kXV1}`s~p@4vZ!I6<;M<)UUpcD4b-&ib=O=%&$AEM3S
zp}77{p8;Gd<$q;u6R)b?K0c75sPH5hNqBE47B6LZ)MZvSf2^{#xoIOpvqra#WKlqR
zd}h&KjbuCocJj4v8H*C%QLx|_iC=nNGy5w@cgnDhw;OAAg(=uR|EyTx6w*6GOTjdM
z^R4duecJP*P~-6}*~Zl5eH$<`ZJI4z6j;O8nNp7k0esobn3t~iYOlYt#ci}Nx4aKe
zEVE(e(lH^JF>GjA`=~r;v)h0We*E-)cxM_=orz1{Ut64hhhfjxP)7cfMIY0&NM&&*
z;BEhj_V#*5gJroNpbriTX^U8C@i?-*l53&Iu+RBXUf=v^Kxtpjza=o%{;f|D)EHWH
zn%22|i?Wa2@=7kV-)5KB*@SQjXW$oY7A)$x
zGj5-cSKK{R_mXbTq25s3OJ-G(*OU|9P(--_L_i`8t(YRM?Pw83@m6uGyR0HeHnPyK7PwQzZj;tf>@ks37z_Fh8h06TQqdoN3X)%~=2Pf*IR
zKd;~yeO9YvG@_*UaRMp%NQXS>NLRe*lam9|Omy_fR~bWfWmJ5ybH_dlhpIDSkt6Yr
z#V3q}oZXYM^n;s%^Y9E$=+V5wlO=KB~&Gz!AL{@7R*eRJd8HjZ6JIs5DCH?Kzp
zZkLYct2r}z?*9>e{v1=nt|CaBCLx7%o}_kSy*QgCwCM8Jdc?9*KYMMcbo9xY$IY>dfkAx~Hjeb+#qCcMgQD!U(xV29^|HcU;6v*q;$U*
zyhdhY>E9IyUit1{ami1yjBexFA8=Ea2{HCVUdkV4cByfH
zk1}cm`t36^LKc3r*7G0B%@I{C7ZA+Z~80G-&U4uMNm}3E9oip6}*5Qh6Ld04aNO(}>*f
z!SU&$NcfcjSH_F~Qp<5IFy}==0WiQt4x`=~_gC)qtz5ihJ*@LTy#ppg_-L+dt=tAl<0gwYKyOXMog!4kLIGpcd8*t31?F5wx1>4A`kDQ_PIVuk$X
zn0!OrEe@;k`m`pmO2DJ+nGlaN=b>c_cQ&WL6e*67BWNFPjnnwPrILy4Z%`DW&|+Gk
z#GEFdDIAqDA3@Us_>r;Wv4d%zw4!rzmTBSPC_3T9E^u=Y0eP0)g)|D1jrI
zkmBUztoC~b#gOuL1IfCiq=b@=F6`pMB?OaVtjTe!N~>V2`b?g_ultplCaVE*h+(el
zj#oXo^3t?8sN8)4#eZw3U@8Ohdokb%F;GNOqgn0L1bM`O
zvYa6U`xxeyZf+j)AMP6q-8{%KLK7gfSte79IP)h8W)MZ=)lD?U*<=>H6o~xRdbJUT
z34ZIqYb)FRy(1h<(&N^RjCboT(dCx8_us=2!6a|SxH8H|ZAmetA}bM)kev6&DS@`X
zKOBcvYx%T~K;Hx)9c88Gzsqw^fUA7xD<>g=@KPZ9-Skj6@MV?T-H+OX5^{jYO^e5u$P09DuX+`$7(u%v8lnW&^<
zOm_Yzy$DjXO3#6j1_^a1gE&Qv+lf{(i~ec_e=pn%#N>IkVD5QT-l*B^WXcUuxRBU8
z{L7=J_QlFVI6lDmp|r|>iYH=<$9)3E?qe)R_k3yD%>SpJFm0myPi}1uBv;DrU6n(&JZP!p=3T8&nH%Uhj|Yt2<`MdF&y2WN;3^dE@8sP
zZvg-t1IYA_6*!81sKA803+v-w@mo|uM>a%=$RKnTm9^&!EjUeMVWZq+jed?HYR_Ch
z!is0DmlTOp1|fb8VXhS9R4@lhssWlBgN1M1RN8BbIy=+1*yy0-uBD`p#6Z+pG9741
ztvLFlSsj4Kpk4g%d4Ds?Jh$tE{E?J(MP!==yO*7fD0qfG3(5%?c8m
zIzIi5S&-A7MPLi#RBxRFO=xsqn*PudN-Itt+V
z;%*IPLsK=T!*mP`RMgbl5hLF(?4*XB1p->(%uC<$Y9^1~q}GwAtFZ@4u1{irtoRc(
z|E2FlOzO?I*)y&y*?7+5F{kv*Tg|#&yR7^V$hsLn3=?0;@3Fgs=Mb|?m|@M&X@`?`
zS-|d;FlG}T*1tkQ{k5mR-dkhqKUdPX-OLFl&T$x75VK8)_#AZz86=N
za&{m!umC<`9HPf!)D%kW660&D&z(l126_akG#g@O)ac>1rxoSo*7$&!+v*_P%6)CJ`|`
z=MfKx0f1mq>Z`v-n9%wt_nM3F)BW1>s+q%e!1(w#J)d(4d=@>l&L#T}CLqx;W2vtZ
z&=ms^6!;?GIeQY65m$rXf~rRRt?ziLKc%
z5yBj;{`|`?aIRh5_e;viFNUZX1tSAZj-s-3b~mxnS0nN^p0_W%P@j#aDeMg&;JwCy
zHBW;wQLT;A`+LavQrA&jILw6(hh6D;jJXhxLGIecp-qaBBobQG6W!GLMO|Lz4a
z@mh)9gXFCJ@--h#-vPA&-6wNK!u}FXe_<_{6=y3igb_7$x)LlR^=4}X38;?XVkD#3
zq4{}IZqnMO1xBnT3p~-Ho#BO>uh{+Oz5MG3V4eQl*P*Ne?Qvh6VSC6N=wceW&W6^`
z_^WFz_G~XG9OLM(?$=Q<;eqDxrGz{x0yPk
z*4o!_wfJI9rpz=9R<3_
zp4|<5uRzwk@87NY81S*1V;(<<1n-;4XwcPmAb4
zx^W8#eIjCG5#m%ShID0_g`3`bz`MV)8N)8M(GIU+K8oK0s<1PPkkJq&{ZM@T)qj$O
zUsW$$akG}?Y)lZ+XkCP~2s+!vmYPr2P8jvr+Ekz`;|6=+Mhwrf0sqD|p3bQ6CFIg@
zqBnT*KXOdZ^6nRW00Q}&|1w{d&BAAQ|7#$)M-fdu5f=``a?b^6*O*8HrN)JCmezyANw4gu3q)E;%QxnKt-pq&HUHU0&!`=zYVsCI
zpu!AQ3asEuHe~^vk%Wod_&M#{#aBXN9cNVyiP%EMwV_?{LL+-umof0_M`Yuo8HJfKRScXx{w50-Z%EMqLF*;Q(nV>nR2W4E^QEt)jF!`CMhez4?B@Q
zMKROm*%K%~3nR9(t@Ccn>~^ot-g@w&(bGvz4y>NLv5LF0E{UqHpcz!9Ops%SC!+vp
zOD4>xK{xoEQ1Fl1LRA04o_l(~JGQ7onw+H^J|$7Hz!j>dx8J@`e6e%$EZSv#|M9gv
ztPLRlz$0k$>4a*8G03RUCG2YWJuv43q9ML7?Oj3pZ}Rf;JOD>nxR*(TK2YylT5W7@
zz6MM@URnWQijLNKRN0}RqXThuz}KJ@giC56wVgD!Nbn0FcA-jbt*~x1BqU{GE-G$V
zHGa5C$|rKl&AvHFx>(Yca4^I{S27D=GMLyfk;W7L-hsJPps{{pGHZl9Zj8b<@XjoT
zYGgSUP7uCK2u>cM-WLu)UcjO&cbt00W9e4J4SuK2_tSM2jQA_oNngJfC;fgRgVc?V
zR;=F&+r9~%%Ab!j?5uw~Rjp}SU3g|pAj5GpMWOq$h0lwH_vq~e5@3(=*?v_Z8+2#c
z{`?4q&2>B_y~uH-$UTDqrAd5hYS@ewFoueIc<`C6)Q2P}3Q1d*Fvy+*Lq8M%I?4y^
zn`W+2FfiJ&DWr641!{D(lXdlaw2>fH42_9w;Y!N_pOWe<)?RJc@&-Sc?ir$59e(TF
z-sT}sXA5C13l93t3VJ+7x4C~nYxYdC!JywcMIlyE=CH~@6XM(5zRi;N@hl8m2;Ag<
za70V5Iy7UR##fgaC=E4I4&?J;1Ww~=_`CKADxz+U!{6^JC(ifl@7_8Sn4b;ZO9}Q9
z=yIdgN?bQ9MnX?GZcZRv$~u~XAxEl*s_%&KdYRm#OhY&{aX@1;Kpf92k;$V1N(;I6
zZs5*8P*GJc2pm-c7BuHzsBi3x#g6Ui^L~EpKj72Qtm`c+9M%qj!${eIeP2a6B;zU^
zz%+5{P?giVW<;Yev0Xp1w=I}B{Z#HyQ5theJ9hrS#4e3--F7~1;C?nj;9XL?0D-7g
z3pW1LxT4r=AEJ6yr71ts?#3#Qf#iI|g+;L0(urJ6*Zx^+U<1Cj*4b~3Y>c$6;_4MG
z!k4>S-USC9XVzj7jc|)kg(^_M{UvV?ek@aQrDcX7nr__nbrHnUG3TY`{6)1n-}Xe^
zBE6N4a1ceBGQV*x)Fzy>*`2=Y?gr@OytAS$*_FpRo>4PV9O+%##RG+vT0(xmJRuA(
zZEMhe6?$`88_1~f{&~MPPy9>KXW-1^2|fFMnsd4^VkYa>&fj!o
zlF#VjxfP
zaQYrF_1Gt(WY93=cSX~lm7epT3A#)k;t^#S54&iNEu`;PJb>KLKe8Nwt*zT+9f?qh
zNo;_=OKvyD6#lJa-@)H!t5vsipG*bX+uPe0@q+DALpA8p3t$nSDx{YH`~<7|h9ga&
zuQz&rdOTTlyT3Y#BH^x>g5d)lA@(|69_Id9hp<~K_yj$8|FuHTdO~gXuq<8`m@b0^
zDVp+A?vbpgNwVr4sj%MvW9lozqU^eGDFI2PJERnl?gj~wl92B1?iK_Dq`MoWrDN!B
zq`SL8y3gkQ&bhAhWAukQjL+;?>t1(gZn5Xby0lH3>ZRiNRgmKZEcaU)#(e1+d7ZHV
zj%N*`UR6J{wg`zdIua!8oTmiaDvWsGHM8RSTnjLX(-=~362n$)b4T`&lD^U
za}8l&hS?@{97$MpJ0_vw;F2LnUIDu--bw8XHFFSPzqJLn-d?l;FjyN#S#eRd222yH!uo8y)*-t9e@(`9E$sSjOt-XE
z%udAWE3Rz{e0$ZXpa?F>TP26;NZBGjF4|Iq*Wj(;khxUQC)?@M&a4ky3xRr
z(1WLf7g>HFq%6D9%3Gvb^1Ks8`@j3R`@c8L{*+zX-t{U#L3L+Nv?tdLCF~Tf-Z{Wx
z0@Lka6(1N{&k#x@BJ216H7vI(rA~WJXHPeAA*L>ZGcII@)B1MU2_
zOXhWB8=JP-s6WDL5&oQbFY-1dzhkld19rGxtn1N)vTa>c1xB$oRUekEngbvQkFjI%
zAXSZy^L@E}Ds$#aJzS3OY)NZCAtD<7)!>haRO`6^Xfj0HmAeN!+sYg9=M;)1uy@U&
zV!(~V1nn|>2~QjrsxjnU9~-QUB&L?#)~ylhGDEr?pvbr^yU|pcj2b`OoaGi2oVUTE
zpRR{8I^QL}`~hS0g#zw~0^*nosCYr)8}vS}p1}#rhre>lz*APACoBH=wE%pwQ~Lb?
zN(+}(U)iEU54E`6aHi`};|b|HW{iGPq$6s4b%kSJbZt{dH#VnmD)V$XsZh5}zc9bIgmS>3HkjhYeFLi9v2Tt;
zcS6ZTz5L?r*nwsG&9%;4C{Nc2qz-q6AD}ci($>>v&`-O{<1q+v#|!aQOQ@-3ot}yCu_U^Bh3K8
zg0Dw##nulSS%m2j^><=crsIgxPNP2rcd&$O_}9(r-GNpX9iVX7&oP*i(3_Ib)y-5d
zTxs!fNk2K$a$6!ncaqsUO2Mvr^Nd@}Xb$p{sLz%OBZ=F(~ULvxuh
z=kki&J|1I)N6ejCdngnOAaf_?D$QC(_^P|Q>1n|Wu1{}a3s#2M__v+gmo#4CE}Sv(
zzWIK(1ZC8PNHc0(CFr@O`PnwjjS<%?T)W;++jRG?yS?Xl0z55CCpubFePjNwz?NCs
zv&YJg7>g|~OcFe+yS;hoLXTUYy_L(gWk4tT;ll?&_=*BxF6;_m^UW7*Bh2LjU+2yN3;A5>Eup;yQK6$$L1HH($>@7?cqDvFcGAId5H
z@;6RCG=b~LV5J3|w?H3ZXl(osIFd$2Mz#Tg-e^~FWrys~;<2gQgD*b?US!h}q+YQ)
zkNYZV0)cR@VuQ&{M7{0rp-{fsz2}GBP46*(<@D;mF+^wo*guLP>BOlrgUy|9XS*)S
z6OICj9(P><8|=@nf?nCN>^7v^S02322K5!~BQz(ZTUAapwggP~^K9`Yc(Ov7a~2B?
zp)6cUYC|KXCeVoJmimVFc{9%6i^9_^IOU1(JL|Wg*;Z+%B8iAbH@$Os`BlKT`}&nr
zgP}4}c1gt#L@6x%w-ld|tRdX0Iv8(s*MoIF8g)t}9WF%;X10%MLM-1Gn#mst^kjMM
zxE{nkrh+=%R2AwR$K=oY^w_TZg760|vA34VK@-0}ePBg8ahS|QI}`|7I=&zf^sfH7
zUj#4Gss4-_>C}`68WZOXXH-~c%YNgVUDs`f0aLry{UUK$V;ol3&-C7izmEPN7a&Vd
z0WDi@ob9=|{lJEbg6F-UV1{H2bp%6GZ$jDKXsaivo7AR~Jg6
zq()rfzQ7|>2s$w5ZC>5-VR2<)AjMX}-?*OBJ~ok|qrupZC3L6U+J8Ih84qTN91vXi
z-QqcCEB7XiUb*VHTO(xH^w|sgTwlU&?kJy?p131qmqM3?@8H5TaRh~TzNUWc@S8J6
zb;fj)K-E`5(Rm(SgG+)zth;%?Kn8YeNl~F6BQj@0h6-C;Mb556nIsDJ`26G6>jz0C
z$2U3+4n*Lk8FXD*XuVk{xUi}HT|sNA&BKO>>>X{STc`$Fy!IDGVJjO)ZTl}jM$h_o
z$^85l(3-r@_CCzOc6uzT_|7n)Xx}a{aCqCpK!(5fm$16%@zkyGzLhyY8TvBj9Tpb$
zaFch$cRO#LQNF^#=)bZo2+>%+Ph+gS*|y=h^Bg|5#UR+eKk<|!6!hj>c|3MWVzg|hdwkH=9f}*1ks&7}bWN!Tram!nt^vCg)(u-Y*OL4I`Y%X#
z4@qJ*VKE!0OqEsH?tXf_e}Op9M+JBG3NrGuJ8CE&z%s(^p;G?I-8g%?cMtkNTQ(6Mn3c|}D8sms8RIW!0jDJWa1|nP|5V~tT
zrfI_O606V?Cg}4Ui@q}o@($;%&82Bn6~0gTEE?+~bUzuqJ+#?KokpxyAwBxuFEl(_
z5nt5U3=ir)0t=(Z(eI;`i3X@)Te-EoI(BXfi#DWxHaEgFB^V6mD}ue)&Ef6Y^a*-7
z{4+jQcjQ|;LlTAyJe@z5rjW`&SbxuqIvD?<&Gb^;m2gdXln}$odeK;g!-<$-z8x@}djZ>U9+nkbXxx4qgJzOk+Yh!6W;x3Z5MBU$8x<)nkx0o^1^WNeIGOs$9UPf_IcU7*%zw#
zgX9FbzKkT<_sAWOMiYuhP6`tF-l?zbEHu6h0<}O`4C~A3Tw%2FL8PN(NFx?N;>$Z6
zI%R5+$FyU%!THn(f_LTUi=&t^owp|$43^rc4r?^Mx6j@!nmzp_7h>0P*&A{u4@_+S10*=Y1|4o_J{24qaZZ1m5I}U~)`rkq;
z4zqm({n?)6>m!)Mf<@K&t6YP^LQHo1xWb9;jYOx|5?!q~bhVd~Lq19uOl~*iTJQNe
zswD%!r{)f!z`pE?UYJ@;B=U8EUZl%6P>?A(87BAz|WWA1Nv
zGK?!sB+y#DkHtYNB%Q(<>7u=Yo=}3H#9ZgqK0ShjR$<>+#Ju>&Tsr7FObTV|>123&
zY34d6K~Yjvi43y==UClr%fVRp#w_hxV6(b=VknyA>7z2qYfO9=%EW(U@fo7atG`S?
zd(b=KD4#i$MM$xib?97OOE`oTyy*v`;E|2E*5lmzKk&Zu;+W#W9r`r}Na$qb|3rPTr}w@{b5wtQbuaapCPU9MHd
z)U2`1;2xR(z?fNNR(%1ft!wz>r-*2G`9IM7JM8e_DsWcNSUetwVr;86n^=sPDN&;U
zkUtCdca~w8928r>kgOWg_N;9(mUr-g9v@al#=i*Z@-O>9pPb!q_Qo{iDBcXrP1Gv&
zxil4wdAM>98tvth(?xuC>?$n=nziXlim(2|5oEp?g92>{S{up;PnD2JIt^>k3*Cd$
z49r%R#Xr!TeGelE@Q(G{;@m%6+y`{_%DYF3Um1yAfAt>SEz?!}I`vNXi#^m@k14~#
zoJBsBmZ);4ZVd*>N2+W&WH>Yo7n{VdutncW1=`x4aAVvD#qedC5Q@abP5v9q@cgo@
zrlJ#s>(uR}gTEDbRE*Wt)1bVkd2^Dde;*Ld%oo0JlGc~(f~F|1EC-gglnq{cnA@Y;1)WygDH96EGjlHeWmNq@p
zAMVf&d^F_f0v0+wqA}u%*;ErODZ-#CxK4@Yt9n;4&+HB+&8(GC4tEplEB1xD
zjIGY8UQ=^>qg7=U&VT=;Jh;6Ye+4Td+$@@mUtmS-d>1yR9{o%%&?np34vXjPQ8x;q
zDqi6^L_7AQ^L<SJcd=CO1hpQ`24S#L{~8S4qA4Hng2)lQ5ZoUsp;~
z3XzUeoX_3OeGqVaes3a|z-n#pQwDLPRO^*;-J2smwsN-N9c=2xUpycFU`4_>Yq{3H
zhs>>{-WME#Auiq{?_3>^`&1o9PO+ZI#vjabuQ8ie7L6Jf?rCl*v5V_S@%-3|%mo^k
zjouJEc7~{~%`47m0O6p~4+V>p|X_1tTzA}M2~Xo!n;*|^EzugK^GMW~7rJOVm9H>3PD`5lAcy*SW8_6)?)-2%!LR9iZ~2VeXqy>?R~
z7}%2dzQl3>p`pj&Jx~k{KDzEt7OLphuAAo-e|}fWIlej6$wcr6uoa6A_E+x!qTNYD
zN@Vn0#s{A#QDu9}G#=RX$HW88=T_#t`|Q}tguD8LNVq-0(N5)bt}$lOb^))W19sk1
zFb@kXWl8klHJTNTPuk(d*6St*ve9k|CTp~#?oIH{=9UP-)g#8b?$x8nZlI?_hLOgs
z;LiTTJ(~HK+x@+-Oa>N=^ZL3-{o1zt#mSm`rPi>ThSX&vDjRU}`y1O2Czmp?=w?R5
zr|PSauGVzE-Jqc!zwJ@gq+;bLU#7@kYUq6-S2zpYZ7+9hM&n=?iPj
zI2h(e3UueVFs2M+t8xrTwa%|PnLOkBAZ=^5t|cwiE}4rV<*U}7o_sGkepSYj=m_Lx
z;{SoTVCiyXWo0R;sGNg%4%b(%jIJO@4UgZQ?IjBb@U(y{bfk^ffyVL72}p>c2M}j#8ChKS5t?HoH
z)5#Lb=tEZSA-%YRD~^Qc-rP|xYOq~`Y@fil9>xsSlaZEr2x|hY$H-ZzU?~|WNSk^2
z63Agw`Er?;B}Bx08ETvZ-l))M&3yihc(7;Y7&>q*U<;nNDW9ER&l05mysU81b>j0#
zdMVk*k4RMw2JL?%142JM_nwm&3>dz#ige|6|x~d&q$hUz{0Ux%)18
znu3!`eWTHB+=(;A7!2~qPI9YCl<5F3`dU30ID6rqk7_81{6xD41i%s2QNB*_`ebaJ
z-)kYqcLoPiB|Jj!dwP4T0HQEt?BF7&h{y=}_eJ$`zJRZ81F!sKbiLTdYvddfp>t(d
zRW;xlp3zThG%%z@i{THt0p#Qof~m(QDP}efo}10boZ}tBX+wARK0B^d%ZFL^lS#G{
z>5@;p(v#mjNHjjMl5a;H-SGj=jeA5RF|P(OIuZ-3qiKnY?ToUod@HV{TRrW$JF+
znSa{Yy@xv-1>CO@!@`DZCb4+ddhA6?ZYOywD@-2|Inc#a#^F98k~73>D0SYa$i*aS
zjcmTPqfd+aVrbfHQ9CoWz~xw-`2EA%F7dkMi{fInAe46J5eQs_(`V!`F;oQcOP)Wt
z4e2nu^1uIxW%Ajy(S-)=-XGKaEA#l15UVRGY4_0uH=9#_;2EYUc{=VjAbHt|NxpP!
zKNP;iUm>q+)EN%UU}5bo$05brT6Hbp2$0O_Ee)KyyiB^%+Gi
ziR!rG=TD(+Mq&|HQK-;@{C_>mRocC&Ok~Lht~#+MspaL!OlIOpy=Wc?KWSuK*yDnK
zp{<_*cx-9kfM`Bp^ly|My{15Heb;BQXx;NuWx)jC5K>xsUJQswGP9Otgg(6^vFB^J
zCN~Qd=dTZi0(V=N1qXOZNpiBr!WEdT^jXk7tyre%ln6QWw=O5GpNKZH;lH>WQj*UM
zT{ZiETp(U_a)=c+z=1=#YzPH`*Hn~U1|^L}QA-OW7{r)EApUkqePNafR7B(+E}PLj
z??WUf5Onu-8$gAinEd?8H7;XV;$=<_YA&$$0L&=j_!TP8301osHN?Cb&Bnk#P3O@N
zHc29x@ux(D+b=D~b@W#}%a4b#ynyUrW&}&l8&upzY<%;cBzO#3P(HMtK6ufQFjYS-*1T>5&2iS&x`C)d&VX?$9PC6AXvt!~`R~
zUac^R|2H>}dAOY3>H9s3UX>$uGZyi>1^T=3aib5xv#S}pMAes{p|AA@{2Uzxk6P$|
zyeTcLQ*o&Gq+kcbf}!NNi_;Gm$V9H)JNEC3C$Db`E1eNsIjy+?XM2KiM6&{l(bvhA
z;E}}rj~AiEno#(4{c=lVV;nZ>!$Dp%7lS#5dZNxS?=xT9Obb7;*1^2=a_9XyKlpzb
zQPq?@pW@Xm^0z4V($kf06g;0Z*HWuYpD(9194^H5Vz#P(86Z2Ezskl{OhrGvQ{xh0
zC1)o9BgnW6uN*Lwt|#Ckg7wQ}aIm9KUi1fmYW_3+wf1iMn$qgnHG@{;+4mi-^L;
zY-RuK+zfICZ$c-gJQe}V4J@UNxP_l+yAfq&hg%&#^d7l1R<(9K*Tsy0DQeA4des`6
z>lNbyb1MAIkQ4<4#k9?rnId15Ux5^D-E)IT*ndTam!%HxSO|l1+;j@^f1}o&S}QY?
zdikItQ(y0lP<{HjEBetu$Jyrm?Jsy|E8c}Ys1p+lxq2{0!V7E%SNlV+kLKx8q;Rs7FK@EQKE9JmqMU-FG>y7{<{T2ny2G@{W#m+W=yLvu>6+3-4ai8zp?-&Cw
zdP5{f^0&uRBPv00F3WCg@B?buDQYgq?ZSWjr%giXp8^AWjtW{@GN1fitR|+rx+T+C
z$Giv#4j(qkd6(L?d^5koQf$&A$Q>Fe_26M04W=iy8X^Lu{U6>0TX&Nfz7~&(PKeaL
zXGFps$;nUgApgqp^s{y#C$bGW$ynv{q)!&x=Q#1q?2zFwQ0fPr(0i
zD8AlL1xNDDtonufQ(`+EJ6ILXi7zPnC!mCVF>CO7*dU#&Hd8DJw==5^eWPUrYT2jD
zaqXhmPU1hQOe^h&an5YSmWNxqX4L+jxEO}!km=>N_A$?$UI(@Fk+&@9xGeUTFZJx)
z$6-STc7uJWWeo=usE=LP?`@SJJ&Y21R>aTE-mF_YHbb7ae4%Hr?f6(clHq^_-;#(T
z&)Ijg&1sT=(0{J57jNE`9*rg+eOV({wr&_wZ(yaqHo41v+Qd~>R8t<6OIJNPYt$36
zvceR6IEg?+uBvqHf1|w2l>LcLlHp|tzw&UQ$nfxEzK%74Q)h9|#hWjpnw&Y|l3U$?
z=pM@QlEi=&Ve5P?_&e76y{4-A++Ql_I5vnJ6BIF7MvE5Q72J4cPGW%Oi;gs8D4cj
zA5M+v%Gzs<9c&p>OE)*6++4HDy$p*F`x!TFb1w$Z;+c5>Z!RN)`Ne-VbHv1~
zmnQJ+WF>i^)u-5EKp;_?K=5JiT{sE->guwCA<7BJq>wb#S|pRbfqnJmx|7<12lzh%
zTFdPmXVIH%Rsur8BtAD5V4Fj-!OYAIVAIU|g(W+?DYuP@9Hn2c9R*!PcP~h@a_+g1
zzj35>>&^cCb`A!qDQQl~~VRiqm
z{^i_sr?s%nrYD>@cxq_3yqtbZ;wr{09R<-i9B+g4db3|uH!CuN`J(<>Hp;TcwQcc&
zS0j0GC$u(XcrD7#y`r&^+Sxm4_=4MCoxi7|GoZw6hY2Jiuy`u*Nm;*uY*w6ciffO|
z1Ea2CDcOoQJz>Fow-2)B`LdC&0i(Jv;l|0(sMvT19+u5=D^OH}DZoORZC}5hy
zCze2W18P7~QTTDjM^xcm)#94Hh?woA+=BCwEdV}~JCqv}aEI;!cCh(%X
zjcnAH8qL}KCvxWM$wRBSw_>q8W~6N_t6gsDsjFn?Bk?L(q&!=+HI^p#p8)ssVLi%;
zE3J$$(8FchURRDp?&;VaBU=6WSOq_nsrI?sfr*U-TQKD8H9`54<6DjE9RnA55o=2_5Z%D@K
ztQmeP-x$D`v#DW0Sa{+fOZ%^7y;QE4lu6*<8XN6_Nh
za-j%3a>ei-r%mp+n76U9E&18m^NY*8EqcbPz6dDW{^mOchPV3X&%HbUin;6s7G~>z
zmvkQU@4Ww5Ou<9@d+PdtHVoA{9caKNXV?>lxaxO^PFh+rJX*N7LWYEIpnZl{k3?h(
zVgU8?#UZKIYC*Nt`-QIIa?STYI-T=PBB{>?vnbWOC6J$`>NJ?-IlXLb?Jbj{IDhn^$+qD
z7tf|76Q#8X4KcmHn0e!^9?jp%am?dCT?H8#neV*%3`X6l?TT8k$VINj#9b9d-On_)vLW(3tWfxC6Hf)C
z5G?o~Bd2piCK6+M3|1sDZjUq^*iYMJw^WP~50ktEX{VukWBMLv*i9%_boX1fX~
zHtxeiTJFxf2aG@oY8Dp%WaR&jIJ$Ah@VFg?wlQ&S%duS
zyYZ9B!#k3+`dHF1ouLS7`d8{juZhOX8ngj7Bt7Hs)^|qM+C)Ph$7l2*)#S?O$I_mq
zhY0{3F*hXYla0bstN)}LBB_t$deT4U96L=aMfmnMWsILQ^fd8;5d)n?T{gY
zN)+h-(5MOj!?EnjN=Fx!>8y`2-uCb-v;-OslfEO&C-E*P4eEoww{{Otbu$j9U!fbz
z@VMU{hdh@tYd9W1FI#Fq-ZR*b#O53T+(l8&isW5lvpP{Cx(y?$>sqpyuem
z6mb@#J5`i|>&kC{T&N&mzF$O{ocgJPP)~^Lw^A%e?NkHI_R2+$2pX{WHhG@~u!sNLXg(5Iny<*Twn%@#Q)t0;*lsXR~H!E04C#b&5ZWo%JY-U_E6Hq
z-j*PLUUs%02%LpvM3C?&zew%C<(GB91H7nS>7!%|qj+F#!E!Kx+famOzqi_IjO3v&LCQok+Qv+Z1TQ6fJl~Vyfc3^8T!8zH%-Q
zc6a5YQ^=M?G{5(|+|j6Y$ow;VnTvsjg~Q6fW0aR#`0
zW6&+I*eb6i-f|JP#Uk$iV;uYvV*Z}?H@ShUV5^zZ^rY#ITGp`mW4ZDmTKx>bm
zdaz>sa-rW^5eZ*>3ta2kGr@0?eXtO~^#oh;xVLW6UMh4UATY2JXqW^ZPCv?mB;Y#3vvp}H--1N
zeV_lBQVVcdY>65{GiKcQorJ3`n-7MwV#f`)FNLPkR=<5y)&M&N^_?17alLFgZwQbG
zEKIxJOD88yO!b=Cv;7q`e1pHH($cOj$7I@J7MoM}9?RHvT6fY0dgs>IWZ*|-IJCn~
z%gTXyitDk9#vFtKq0<-8&8=H3h#bm}ZlkqyEcv$3j{iN+K~8RJ_Z`kQGII8sufttZ
z_YTt{(}dttaCV!u98Yr`|6VySdPpIEB(9D{+s&*C5E(Qlj}*cXxgrV2qyc;_tNwV$
zkrQ;PO6>mdqrM7#pOx|iozE){jx9Q8AzqFo{5x(?YRWe^oiM<`mCQ^1hO0~(&ju-E
zA-=a%Nyl;3gimW@uP5D5lhbtTG5C>@{_I7d{!oI8Gz~;Q7S6l@{K<@I6FhAuW8y
z>EbM}&_We2{&QjhX>s=W?R1HZt3~QFAvT<_tw}Ux)Vg5YCG$c(#gn)3tI=M?jpS|P
zW2r2;7T@*<^5*yrydhHkXvUn2?F(=*VzGX);dq}fKm2bE(vZq)hI$O+SWS4lfJ|d%
z!>(J=mnxt>6?G;{C+W(O1vpR&VefzFS6$ZF6S_HZnfmc?m9N
za#CqwBM^RPIOLUZVxlN~IhpjExVX5X6wZ@)z9?KAocaBgp6+gDtNB%Ye%iQ@m$@Y0
z)6E9d;bKD!5MV7UoXeu&l&p}Wwbo|9U{$l()n*04wL)!6bY&9j#a9>fxN*acG9!iz
zguIP8oP|Oo8)hk2I
zM$0MPJ3SqrI$I6)jQ_l6Pu%+cT^c_o4=QY~-%Xg=zk#6oHAVW)-+B!H(h>qRQu-%*b#&$j
zpS&mrxV;BV*-K4h#>~~p4pUs0NthBV?-QC@L4420m=QUAFW}IhoCN61sH9vl$
zLG0KhgK6?(f^K^FH|X5HRFL7F%;2cHo#t5Uj7BBTU!>RFK{wr6Lk>G8?mikDo=N3@|FWlFX!j{c8)N4^K
zoJQX5{Dn%iIP_oiCWsx
zd=}of)dFm8y&`_(4?A
zdRw&zjk}X6+2*5GQ1j%ebSox#eidINk$v+ooK$yF!3@sL82LOvfV#PLkjobZ(=5I-
z=kZ#SvwX*ovK@RCi?!qd;aA!Z5BzUd!jR2tlB<82PTQpO?+O@vYXJf38JAHbJHrso
zZYdu=KI-%Ec<~(Jf{C%28HsP-rkt*A%=Sj-(UCEYTHy3p-a=~&Cqh+L-B)ptxNSz+
zY4-0bsazvm2gW$jOJV@~)aqLGDxF3ML;~BC_`nVL&u}{*&2KqsNJ|ePsvJDo6B4NM
zblYj>vDh^=rFWnCn^1S(+;Nj$pOIcYlxq#uymEndAGWQm4dizV8$vq#a;K!fOI{QTn{mrU!jwOPGwMKvRWh(14
zvEkZ3CShZmPktURo$^q_UHv2{Q#Elm_WQk6USZatUQ<=)XL)bTy@^f*|&cep&Y1H!)2He^-)qjTp
zO4H-E@`pjDzfT#>J&>scsiG;KvUXhq$`%4r)1^p3a&)
zDD=4Zd>*?*j7wF1^}-BI31YqH%I#E*GG5LbIAYXw4N(`Xf6332-KD83_fy&Nl>V9<
zR$6G>%yipN2L}E*NRu+mD5UP1vZ}7!2wEBkzf@gJqxk!Yz!k}oRx_05
z!13sGQJLiqV=I4nM0t7xa`_70r#EnG#(Qk+iqmfC#s=6taWwMFg$KeR{ep_(;V0$zzPeYFPy@7J2uk#
zg9xpZ7Q2)dUu{p6>ejx-@{@!P`t1=m+`gyezfgj2{RP`NuqWP$y-^S1zgl=4n{leW
z9@QeMw#BR56=^+|M>jg=%oXwjD~_)m_1A;0)y5`G+AZVHF6R7kp9?Q3}=@fJ!UjbB7D->;lkAkXA$y#~0
zsYRt7y37=GNNT7xhU}A-d_3tv7$$bEI?T8u-(sRkdaMW)5K(H4zaFp?!0_{%vf~j?
zQw>gsZZF+_BYN&O`z3CnD{ybg4*vFebA}})760U(hk6ZHxXN>!0T^vNVf5e;i?#oG
zw7H*6#F23g=*L+k9_l6CM8{v{Us38#FVg(Nlbnc8G~6?bg7LUW6ZsCYqw5_V4g-ge
zXolru${Y>h`-35IDzl&GNocCDZ96H>2J$64y#r-~qV9Q-IDZTmr}@9$CDe^AEDA3p
z^D=SNVAdKEICx*+J3ft!LS{C$N)5W_DS_RU4QGq(92N{r(8}QiH#TjdpsQOZb;`zN
z!q+mfyd^j+v$$SSRw@9t0-MP;OyU1sS}P-7T*
zMP1DE$M0cYwfFD)j^o=yJxX_qK&Sa4?1DO-*04DPF_*kc<;BIJ#JnY_n=dYSm)Nax
zeoRS=>hfg5Z&K%*+^RmdX~@e9>#y$;ehCXoOvJ0Ktb{VPv1vVi3d#Pvxagy?ZF;a8
ze%bUwIs&gB6ILg!&jJ9E{fDT0@TBnRflDi?qd=QcSC5{}>63D4#}s5q9i^F#U}Vg2
zsIobKLP`8*ucZk8&fBex!5!nFoc_O^-TCei1JW{vopGr+M-
zZ!os~)uU%)*#c(l?T@rgn57bjRVv4RRer4Zh|6wUzCQmfiJsS36&eaMqkjax*|B*P
zBEnkjH^@lpr2|60Me|IWIoPT?q_4YstmjwV_SulUgLG+)6auIBKnbWnX@R*`axi)9Ct9cjI7=(kGYNEEH)R_7DTFMn7Nwu2u>*E
z$;aGo`mmfs(8m|XzpHG9&BQ%+73{plKN@Z44^X9Np_`^&5%Oo>Q4dQaDjuyMJvdrd
zeWc>()oNWk_%@fYfA0^0{rzycSVbQ8?I7mtl2A+X2d56V3GS|dLz7?ffV1~QN-4t!
z&Wp8RBn{hZ+A1;Q-Zcdh$n`dx4`xq-AA8$@HT1Vv*Ysn5+?{+B>rcF|A$$*~oghMm
z`|uk02#j9cfPqhsj9LmA;_=2bZ7mg|pCaIfl9|`A8~wv=z3JvEH{OhniLr{Xupmx}
z(zMXU`S?qqjaU0z))3v8`Yhu-zoOvlnx>48Ev~MWJ>19Ug!qf5o2Y0>wQ
z`QDi*S!TwuI{sJVKta+Uuw~2l@MUC!z(W|r+KbCKR^GBtz64Z%!p^GnV5(rCN58JeeF*O
z@8;#{d9$z5iX3>gJL5{i$L}xTl~#53P(u^Y5k_cx?gX%Xo_8
zvMTgi=Wf0AcF88%joHjE
zcNx#_?&vQF(h^GdEnQl!qSV=z+$N^F{eK~2#-Jo(cb9t8hpdm^90S`a;KS}L2s#TL
z%Z29V=A+srpXWz^k^_JuzI)ek$E)z|TQ?|5#>{IzM~kYe;=MpOR`)HSE6L{bCzBS*
z76rdTEiEn4t5^SgaaMWhd>6rcycn2yo~Nu(va@5$$&KnEP#_fJ^Tx;1@0IUd1Hkhi
z$g4zecm|AgtB4m4uZHzf`9+{xY>l&hMOhrTe7oqq2L+w+WHd=A3lpY_2$k8{
z*C0(d_&S>WGm%=awk3(Hw!izTI~)f2=b`P~W9>u1X!%RCK@qZ{>Qv-|NcgN2hkhNP
zDR2ygm5q)@i&v?n&1$u_Hg;tCp6;%WdUcS9kKY%OuGRg$Ibd^ZlGVzXa)OoO!;l3f
z`G>^Z$*&>E1l%6keu?!^AY(?T;9!(G9T!JJEWv=aa~b_E;(9bw~ze3BO_Qf4O8
zaldN3KXr37u|vb{=kz$+)zvR+voby(m1s$3_Vidk-9}gr3~21_Mlw11PcJ+@Uo8Hu
zemiWymfV+$-`;TeRKMGts}C=B7DNM&;$sb#U^T=HC~Jsw-t!>MH5a
zzaMu5NOkyGcV42jpF-tqNQtYq(Uxb;D3uMx&!(T=eL;v#L`1&WyrNof;!Ns8N?a-y
zfi<41xrKyeqs;Ae>R0GiTs)(a6n(F%tK$UeF)zIJj*brDYmeKl1UJAl7O&G4eq(L+
zu8j^6QwS*DJA;A%fSdqcE?vC}u_-HaTm?
z$MUjkrTnXDf3~GEG+C5FE2GODMJ821J&`}-)eN|74yUGgIEFd
zvJm?HFRjuq-5Y}}H{Dr8jqatbHss4Bo@QrC53u}m&MVTjOF^Y&x*`fpAuz4Cd%`2>
zyQ5Fu8*%hc_eo(t0yR?hN`6XjJAUGh(<-g?G7jpBd`roa1SgEgTOly<^YlypoNB$6frg1%i7HNKTN%K
zRFvNrHIAavA>F8iNOy;VpfpH#clXdrH_{E#-Q6W1-QC?ebiS9*_kDlsw-&RQKW43&
z=XvhE=bXLwIUBtk>;6ak1Zr;sgjpyOjw_>?#5+*y{)ltiuIQIWwW_eGE_yAUxb|!Y
zCvQn~w6Vp}YHMrDcxW<@!TMwzn{oM$!`8mvgsd
zlor3Z7gr^=GZYINc@cj;qdCdE&KSjt`(?+K!~AA6G3Yor-5J8cmi1s{2734`#H7Pyzna|&
zVI+4oJJ5c{O40b0C!g#W$wECQtzb!w?#FJiPc_(~OUTSaJY9jB@DP!b>{%j+ya-^REz!7c!F$
z2_%*7ow8aMjCMknq~Y0%755J*(=8Y06BQorh`zp(=j>l@8Zjafn|Q0;?rM?zi8+@a
zY|82Cklv~3+ae`h-{)?DJO+q4ak!&Z87~rUI_zFP$n|
zIB7m#6AI?u)SuUZ$Z-4hrxH5l&zYH-_g1_0*lverTI%F9
z9AWKW5+#Y;Aui)ikz~}oDboJ$Nlt}Z&QleXB}}GxtI6#uBO!a?L*#0
zBm`_`k;KzaYg$rvl!e{5U%iBS`g(^g>|H`wdT7jFXzm|j$ib4u6Hrw+zW#zo`sop=
z7qA+o*>Esu)o8tsNF~sM-dap5!58Mu>cuY)>AekW(#R$^1;A}8e
z!03;a{1S`pcr=jN(2#Ni)thZ`CrC{V)1pP&YGb-HG*=S(1{W54nuaz|6B;KUQN#BC
zv;bH$X+ot1r05{CEXW82MR??xpt)WoIg|V4$o5`)yd+LTqvSPQNXcjtBiFy64M+US
zsf)Vl#8+R?{ls5EUhBN1qNgW0rdTKgW?D-gcNSp!5NaF1IOCc0y8qlQJ4|Z`v41F2
zrmd;KuHc3IVo(~Usq@QK4D}ZY9W^f&$9cOT{zDy&JG3KWDsuum##X5VgO}}gpU4D)
z)AhB2iZYTU3SYX|@Gt3MlBx@*YfFyj=W;`&>DtSc{79MJ%UMFE(-#~q#$V81;UZ3a
ztDw3kQ4N^{;r9=}ShSvXMn+MLQA?};Q3*fHk}HirThiF|1a48gwWyaBZ@Cx8Qe9hq
z6gI?Vug<~&<7$BgR@5to22-W{!)VR%_Zye}We3VCYsyy{Z2LR#|sxi6}K|
z0v+mISajD1=#T(InWxi>6yoMA;Kh98Z#cimMh35>Vs_Fny^QD7PX)kdJcI}@N_emN
znHmd1*Q+B3)eky21i>){NW3{OrB43DeyByNnD4?i*BB3T<&=-Y1RF^Ib-OtH;k=i{(d
zUDQ74ylrvRd!N2EwUsrUTq@Y<{=FZbaMA0{wXqRD&r;KOBmZhek1v+6tuCelBAqLe
zIX=DOisSmaU9Rr@@*c5ZI&8cenv0+bb}{SLZFW`xOjjt!XI
z3auY@5A*TyL0~CmtYe^)>JiG^Qn!0MM6IjO7FR}ZI5emgj|t|m|Lu7rqd9BHK|;LS
z{;Cenu-(<1;8^Bx;KH1)!LwrX)7u@OM*UBwaVOxr@
zJXbhlW2WyYm;&xNifsD2{HFVZHO+EiYEGA+ahV4z+r
zjsRVPY(#u}eu=n;JWneDuk#$R*u&x!J2S;|Y#Y9Gmh{P?&a*|b?U}JAa=BL}1GEMy
zj$&nfKd}M@wztBTV!iL?bs2fPkpP?jwufhOtfHA-T^o!v|6M+p&$rvNdZCBrqxcm{*^2SPLTq?9>3d~dXEa;mjs`=V=yPS;u9mB~|%4pw@mAlae
z0WT|`@TXL+;p`rHY_U{DsBrf+)LY9urzy)9Dtt?z^*`
z*#3ZJBBP7O^{DqP3a*ZJaQIPhURGI8U>6!R@DE*fP6*uxVbJ!>U_+dAF16p8G+p!Y
zwS0bIx0NhCrD&N>zr5z{p-toIKVt#Ip}>ZGGuguI_uh@um}z($9h1s*&2$lHOZDci
zOIX`NYFTl`j8CHCna#9eIvh;?;<+Ok{?hDqGK`{IQRWxOGQO;r^~J$coPX4l&f?R32UXWwbouF
z9Vd&}cwoM+M|t*NokjET|?LDvirBjh=pVq
zLw(d#$&0HDGI@KIeKhKzf&6Y=i6CG9$hf&n6O+BIg?wuN;Bl6oeiO5lZ=e6@(S50;
zg&IngFUG$*_{XsRi2n()|JMXuVc@rt{@1eyj3xFHnf6m;HZ5Mgt>HW{V&n=#hzj2ni(+%qji4|hr2{8`CBmAR90>Y!
zYBk!-^*KW2g)h6jtlbf-`Mw$N)2-~~nh0oM$S%=DST{LTR%XT>JUAe4rx|~b41A(FFX
z@jxhI^Wz%$>Ta3Z`p~&lw+6{Wh}p}4iv&N-LwBK`=#C$sf4r#Bu>N|6DtPwR^NKRb
zC+i(B6PuYZTUo{}IH++poh*_uPhP!K8hx1IP3%S+_28Qxdp5MHw1%0nuSS`1g;Dfq0e=+VPEtoz51_TtVfoVICttQVM=r3VtvKexm^C}kLXDyVfW&;woL5S
zT%8qVW4a&{4B%iBR6iU`L~7wNq!n$XB#Zrru6ISUG3`8QNR+ngt98PrrSceai2}?$
zr#sD?buM%t5#_w*Y87*@DdD*WRhGj_s3lbILZ^1`cGQNDfXFjt{}enqZ;o96=F2qx;A{H&F7gO+Tx{
zz?40XkrmDz0UPz
z72l=KoBZO6OaaW=7FlVCaVgzD!h={o6be2*V
zQWL+6{r)F~^U7)3z%skE^=Cbp1T?asCR}HfVKHF5n^8gI|3(O(#FR9nX*}Ru4Bzc#
z41vNJhPzna|%&8;<
zN1Abcu(i3%AqHq_KLXH1-w%m@M2L#=VvFCiq)v
zb}5!~!}la|=KE58WY_#+W=<6Vr=^k729t;8uCZEb`N|OkrGJx
zY!ayuI=*gXp9)c!$Y52D!}#SkwDx9u2|7YGk+)D`By1UOEP7qk_<-8VJ|j+afwFYkG~^;1D&#}ne#X7$_>7zDl;?13FTmlbWaIpJR1Yyk_Y(n&&mF(}E40
z>*c{JaHWRB48fg)rRh|krk5G>sm0EHru~}2^Oi)fM_YmjQrJl
zwDy7{N%SsVE{JeBXOhWEu$c%0_o+ONa$I@f;r
zxFOh)u?d!ckgMON^R7h;x1Y=J&|Je}Pyh>KQx}5fq@I(Jl^P@~
z?sh!}YSy?#gTs$EQmD0b((kC+s_{F670JuCn|XUqH-)ag;T7R083u6IZV$_!c2xRX
z3=b2PzWZ3{r}cPa+2k&w<$Y6-<3~@QT=<@eLitsw@B4a#pVM9YOi6?B5;;1Dg;W`w
zJ^%t2k*~+~5gnSYeTp5>Xmku+7xM`$X)Fxyt5D1()n=o%>SnH+7YGl+J{`U9IY1tJ
z12Azz;NCNHW`A!#bm7{RF=okkB`ijkO7SIo3tWlh#DK70w!Qv@nZNIs$Xou}2J+!BV(*c?Kna$}54iCKWuU3FbNxQ8s-ye2G-5+x}o<U$4W^$=KVkJed9=l0K^}
z+MEs_nngB7gCd|o^*U~!tFHE+<#JQ93+fS_{(4P_4zXIiI;GH?V+Az6bM(@tv%VQ3
zbwGF{f<)U#v?M*f{gRVYc|q)B-4Yt@_pl7D_f_LS(vRv%bul
z#t6tV6|>M7{DhXk&jPBG_Qtpftk)V!o_@-pG|d*4B+u~)fzb8#w)5U>a6djAizf>x
zh4y9qsrgrPjxNnW_u`8t8UGRFcIoVOa#6|pf5A@ETte#I*wyVXco3)QL_MH^=VICI
zGJgJZ{(x+dANyw-*_hZm6b_Cc>V|^DZkCsFvf?F;OtO*M>wEf-mksWR11s-<>OIVM
zmKQeRmKI=GI_$mrDJ8l`8JvKSMWqyv{41o!T<0W2pm32w{`D?X5#_;R!^`0G0J5IZ
zdEH@f+No-!b7y1fifBH(k1U*Z%dmQ#u9$mADj-h{1PyY`C8f@;nY4QL>NasvVDouD
zi*LxUz{rmo611Wo8u${>h4fzAvp;E;*6u(XfzZ!bF_TIrdilGP5<`3X(t!s@9H>JA
zL(#N5r}76hHsW6_n47PY3O7bzn<0v**}bT@$abT&AWTh6_wLQ%XPLydkgAQrVhyKm
zL;9Ua&{5mk9J!skBt6Aeds(6y=jGp1>_DwpC{G&*{B{p!UU32SA*m*TCx)9*=oRz9
z0#0-E!jvH5ocKt7RTdn16v1!Ky>&J=`*KgG_iPG>18PJ)UKFRs4yHBc--Tnb`LF8&
zrr2SFx4NvCYfSR|^Q?GOd(dLfYH_7?8PDTbuJ6*M?0Oc*>+jlUr`?-1b16SfIXgnD
zr!1wm4^9yaXyz^S#1$zclaHES4S#lzCE0U9B<`kZq{l#y-Z*D_q%TpTl_0{Im1Kb|
z((cfL8dkk_N+J6lJbgM9Vs&-(vqku`hPgJ>^RhCHxJLm2GsfKJad(mVue-Ga8}V~l
zn@4R$LHWfuz67L8&xk%2{0l7!y7!
zP%7I%(fUm#z^G`ds>%{_TN()~dtE%ZoGK#21*lf;hRwfbN7g|v?Q5*0I?ZKAP{&3N
zL@q8=Ae+*;K)$A34BNCm7)+}b^;OyD_+2Rp*Aood^WNs#Hv7b2^4{)Ck;cPvdezlr
zCTE}rK5YuED&}Aqhi#eiL2c=5^j4$;5@tA$;YrYcm1E!kD#xrW@&Uu19I_#0S{$HV
zjWD=-H`C+{1#;I1Wm@U@jo4Djt>ve()SJ;`_=E?QNL)SRWrPO|K9DPb-E1Pstv7z
zkJR01q4O;9TpV*T;<%LP!OV_qR^QBiC;JdOo~{X#xSz`|c|L(AY=VIBaHG?;F5Z(i
z*ylctP!S&kaNgRiF$4m34~SjkB{GkHG+D0-0vAPZF*f$uPaPXI0HY|Nnd5XXdMPY>
zf_Ab3gcNYabTf;SJ@rvBZqOcX5VPOWi*~`LO`jcHxxUED--B66nFiya?VUD0L4WEJC?)l8556PwQS$OulUYhpOOPPG
zYt)OXW)fTG^L*q5zAm-E$#?i87#G|6cv1RQM5IEm2Ng^Z%m5}qGGmSzrG
zvWDHZSU|^?Jk}F#cL*rtzO~kS#pYOoP$il`z^=a{mnr);t>`^{uT9#geCiJw6nh2O
zTMU7n6Grdv%sn;cw<;0ap`Z7cpN_dE$bLt|^td#81G9SFyNAsF3X7uSwZrKlyIW%}
z7c>-_DRR5*kA~^3U3&+JUhgE{s(BvN2zX
z{bF1f?obk9ouPZ5pKs~}NvRDF6Yj@UZ-^y~*=vp0cBj4Y`!Eq1OI6D1#+nXJ?hMY>
z2o<|bQ7JUcb`72HhEWL_cDPKAgejJ2;(=t&DqHabi}F8&+uJLpY8`5;#-}+TA`i-W
z#l;4X_czbOouAdr6ZJp_t^5}|7p#oK!!X>}LVz4zQ+&6YgM@fWN%i-x;cl0Ybs&)t
zc7kisGU7ewL{g|)ZpLTWV7yPn~Aw1^wsPE^&BAXpYd)~5G
z*Mrh%KQzZ)V#GJzUau_n$4lUlc<8ss4>LRilLI*x_<;WtiM<=Y)Wv+6z|`X)Nj{uf
zv~iP0RL1vYti*35t#}rUTbnsr5J7(3=UKcl2&6to8=!o}5_Qa}!t4j!#W>gXy+6bJHy%3NaT~9_!tq6H`-b
ztE;OOH{hPBFYIG_zk|G`kI4j}0b^UVhVy(ds47oHoY`_xibhBK_
z0QlZ3xS$LG-oGdHRQ_388}?J1!QKTWIPPPaxx-lA%cwWr!1o!E3sUx~S+g^dt+%Lw
zE|8DMmiW>F5Rm8Ph&ZLmFF)&t2x#4uDxBM2rBCJk)|UUZcfUHXA?(FWahe?`b@*iD*J_G)pI*`){B}hn4y~&*3cU}+W`2PJn
zjCM~L@pHx4k@p|R>b1f=ILJrDE#oETwONRPfOtl5QNA?0+%~Juw%R^rUg(FjuW;qx
z(|2>$JVj6sp5mVAHiZ}>Qlh2lPbU{ctR;SzhQ^}Whfk3gM(=`!w~C450(Qezznk!h
zwzn*>@ug14JSEjg0dNeAS(gRmM`|ZT#fC-rCNxVO`dZ!S8-wTd)7i<5WQ$x`54-Z^EeaTXX~-7T2r)7>p}kJHgFW=l&if{LxdS
zE~sCn^|VOixW3jzi7Xl0u8)7LFvAkw>9V%IetL4!X3T1PSp=PH1F^32{hTY1y};Ak
ztgP#{oMk&fplP#BkKyLe?>XJ_>?e9yv_v!Wth#~lkP~%fGn;~f?eA)JcgDq+3eRE>Gf*xkINJARqr?-3;_b0HT(v
zo#ZyLuYqcD)d0R2wuPY;5;+w1xFr)4W5G!?KfActld&mx0(ELugq3ujzEyys;arqUfaCY+I#)R!2TTh!CeIN@GOd
zmHvJDpE4brrbQ2@B^K|rr;VSB3;jxzVdBN}*@YMhjf}A%(={BNOV&-qcdP0%Vm=XfEH!%
zB>eG?)AI>k#`uHF;J{O(xdHgphjEQ$-X9_s20YN%zf2Ufr@_5%S!%qyVOd>Z=u`8o
z8|DuZ-a;VA$C1*C4ZBS4K3*5@@tdadKVE=7L*!W8=tz=24$m?_w58r`s@8~EXvVDD
zHtRj?*GwuMYs5eQw3!-}$oOY%q0@3IDuJWM4;{uw3-uiC9ze&A`af#IQrSj_#X`z-
zgq`C`Ms-YZjEXr%aUgKZ%@X!*NM0ub+g=s>s#u(YZHOP8n};Q6+oLhY-8Ise`8zxK$!OkW=>uK}g#3^JSQ84v+raOJfIuKhwRCr)4{7X*#DRw$N!!
zJ}W}GLW(0#ZJbE`=1#qvJ@U9B4HG)y`jaM-lXty#`~lw1t`P-yA$`ND;keqiMRG#Y+3Hl`|6
zDvh#VkNtmI07`at90mpkd1`DRwH+O8U+wgF1|5yS&EiE{e}6D=Et@xhf~4=}Iq8G<
zvhD;856TU^zl7k#4!YxtzyIx-cDc)I*IwHR6r-&es1OD!>s+;KSF25Jc9q{SDWj^e
zC)e#iYLzV=oBDm0L#%qGPdr7uitMOOB6IkMbw2j|Y4R6SuG1F&bTd
zYaiyd0Oabwg%3n+`w+jXnt-#SHC{6_q3+X{g(uR48kc=oVUb(g<%dc?
zHc!{2h|as99b=XX$Y!+8o5JPNnon6
zLW=A;!wS`9eymX%b2|3Y*CCClsP=4bKXu)wx$C&$P#}xNY7ojeyjF@e{x>|l4LWG6
z2<7tSy{Bf~kDISfE-xKt??FDw|9|<>zqtY&X)|>&s0TD}5G>WA2Iek4!6fr(b(VTK
z5oL}dw`pnd4QHllwN-QtH3k4^3h2zyB;qT2`QW
z=qI6%^IRMHlaYyUyFna2fnL3P&-8Ei^`ne@Z)?Ocoh&PsjNw*Xks
zx>%{)EzoP!){JH}Hfl&tJBGXaM(=Yy?*4Tbnn1UC#T#9x*0_E@I=Pz-qivK2!6@jK
zHFr#4*d>X*3$c6i6x3Y5iZsndzdc|oTkazW1HT?&qRE{zY$BWIWu|){7k#U0&dVS-
zScU_E1PaaWO4P1*zoDlbXhATgjk4tWDz?Br2|I|{@hL3jwG-Kg4?v^Jq1@tj6F&%&
zf&W^*z$z36yTx*uIcC0AqMA?%3$jT%3u4yKUj5Zg&t#)hFXai-9<(v)n6GZS=muS3
zFZw=xnxf6US{_;jGH&yAt7ezfp4Q691iK84i&$e&V;DVE;s$pS7!0+_OFvTV(-nbJ
za%wqZNFy!Tm({D#JycBBK=&05Ch`6&+*(|liq)*co9tMkEq}UqT>=LG^bF|(be=4G
z#?b6=8hYrejm-9MR)1mEC_nTTaN~UacJhFY)Z?J>9N0H^v%AL4^tJX-wo*Wx0*yJp
zwU38**)4|OG0vEcOpA`%z2C=XoS%NhuR`*xH{)e+!my{oC!GlXtStXfPW0l)`_rkC
zPI6qm2(^*C52FP+?=cQ}+n%ms0w;x^`ya4T_p
zZt8ei6Aq@ZEORi)<)(K2rd2%k#ws^KLFx$tonVPw-LNKbvp#x>LziD0K&z;SzXa&=Ya
z03o%q(x7f)f13n|-RNqE-{>nG^kx`j_Gecv)N?vl~x
zhSz^H{kudT8e4mPcI5lD(R=Z`2}#UGuqGd&A7^&+m0=hV`cLL(ZZ2E|I)3OW_xUj<
zWX5&Z+&VHnWx|nqI-{{(^+AVf3R&}tdUT}^rc|@ks5g>=R;A*vK@S%A?jVrUf~T#w
zHS$fk>B@!uT3yXbNiY&iQ1H#LylRs!VtMbywZHsqH#2SmlWLgFt{ZbVKN1eg_dFRD
zEOO!WqB>ttLwgBn$aNN#r|&o1HC->rHgJbXh$3u-HRiAw>CoOeZdM+5zT}<@p;h7X
zoj*=w*H^^(EN+GLrm|h9XtQ<4|isBI9`v+pn
zVIRf8V!}6oCQI{!6Dgs~LseiRl0YRw_Dz$S=%#XjvMg2*4`Ko_Z?30+sBU*M)$;+?
z&O_u%5EFF%``uY0QNP6id@CEl6@156ZP@`+PcKJl-XfpC6lAPT78Dq@+3
zIQQd=l2T!T--?Bl?|YpQvZM3EoHiEnTALw}nXm+PEjL%Rre@sN_ew;SAFzenX((bh
zJs;TnpKdMUN`@`vK6|Ab(0CnAezy?o#1u8XEhIl!fGqRuaOl-q{#$5-S;F!SPv)vh26J
z^Gnyi{45eD=#1by{#uPnit4uvtq;D3zM$RNR2mtlr<+@Yvgd%o$>C}OE0y1E%#xPn
zLr7NJX=4mfZej-OZkeyUp2rt&+7g6r%G+ybYwqBjn~qi!7bP?@JX~_d7(7VQAVCS7
zZ^Co0FVUv!?Mv8_#!rw=w3p#-rg-=iDJop__5#9~$XJ539(U*t^tDE5
zb^d@m+TEylcIRWUdt6`>#!4~OZVnpVTPDgzcPtgjsaZ|`X=)68`Wi!+s|%HxTADO(
zSELARU+lst71wXvBxJNIe-sO^0lbn^m6s5#Qq9U{Z?gsATGVjQo1~`2>9PFh-i-6{
zn^(i!(0kY>7(1cuw|~&G>K0vSOd~y+F%XTCq<9Vp_b~-Bu9#DCy1$CalrVFlxevCeVHWVLr>hLdv+aNW;dJBL&dLF{->Q3~;mltw{2H
z;txo%OEb%-Ki^5$EOB%S7ZS9r-HZ5_|3;tolm$wY-E&?u_I}nWr`eZH{+DqleNQRX
z7Q@_Xk{&=Yc(blS#(#{&5l$;^sf6(*R^bDXv31aiC!c~);=}YGt{<%-uGh>Kr35&Y
zDP;R4;&X1%A-3MBqKT3rO^^G<#jk&R-ELaXAsY21idYDuLv6Z4f|2@I*}%ywtrd=m
z=><&F?e=(08?&<2Zc%~pda#xjd%+bG1=mb$!uiPdww&yopqx7{!~I!6XG^4*ApVS-
z$jeZX!2{=MG~)tt>`#xMvaYW)?SaC~n0T7y!edEdCL>L2^@5#jhemW=cgksyyaX%czgbQj^4F>Jh&g-@-4I
zY79^?4gq1x_87)n&|D3Vc$tws`$!+VB4gEPzRE|6qki|p#YKXMN4OI
zucYLT^Kd6*(s4&!;W$Dp7KnMeM3(yTJF!VQM$im2nFOv(}xQ&I)c@>+&$ri-)z*+}2J#Y+#
zB~3HBs&S(wp^Pme={Z*^r*EEDJG5wW@L&m@8e)(NS4{cPE)dIB9{h&)+s~jg%AzTn
zBl*!U3T%Di1h>^~W~|ia*MC_b?+-kB#56NU+x))e=<5FPZv_#b2SdM!9?fHPcPx?{=phOY=L*A7Q?i*D#}oURT?x0^RUyLt
zgVtVRk2dJ&lOhZ(fxZ?qleCP7KouSm{fqx%X*0ef(!{3xd|I?yxE-O8$7#e35*_lXM8ZA)P5v{rza{L0)2
z$?G(V?E3Gv;e}ZVpYv%r+)Q(Eq5oa4UiJd?gw?XuC}Z5?qnRyH*JA$=hvuK6>`1D#
zUko$hlE{?g6aI+>IJtG6KR@>7KL~KzEvxf*A0T~&C|H7XbJf=
z;PPh&t^Z_&_}VZH{M)&=%dYd$?)JIie$%9ZgT5hbI~Q8&HtCQ;`eY85J1p<`hE~Mf
zkSx{0G1`)j45wIvl6UObuM`Ye;^@;aV{A<-9oH26NfAPoCf_7U<~g!DG+5ts
z-2E)Rx_VJo|+{uC?4)2C?alcZUX=#OiSC;<7_-(93<&__b&wPek~$wb%$A?7YmO+n$wh3X{a;t|W;;qmcF5rIfyc9qJ>^oS%!jZEhxQ
zb6LBx?$k$9wJKbSib5{R?;<=nS~`H|cgcp%IpvZS^{I!PKX;6WUaeWvjTmLaI5F1A
z7R^WHGTPGyEht$gTrDGnzqI?*V=`sdJiGdo+@l3W8_!!;?A=Ib+8eW|{+3@P-f>Vb
z1JNwWAnoBAH&#ib)w3)QV!>&pUtcuu4-(V>H0)I|CSo`cLP<44*xZa=3^YygHrh4F
z5R$~4s2GR0!m{yM
zcxcPksU1#t6hBik9}m)qLduOeCIaH=QQSfp34os>b=e~
z{?ZV2ca8~F+gcWUOQShrtOu0{()+*0j{LQWe%#ZKh2W`TZB0h9!qCCK5!~}(q{Sgq
zOxjcC!$bdb5|!(Iaz_0UWn^#k&{qN_^{Z?Ybc8o}RKoQ0+Mg|6%8A_RV+W3c{Csae
zKgWzrSalZ+tsE*w4_(gnkAB`cI__6bWygyFOQU{km_MDn9^&JcShTrFcr^QtJw1PJ
z#iC*n3ktbkkAcCaiPU`1#j*B3yLg9lGDd5E|DcvWkB4T+diEyPRi0zykExujRyRIS
z&(~+B;$>t?(Joy=u|@!kYpQTz%(*!d7%Oz=N{4R|YNagaV(aDh?L!Xr)8)*K9)%6N
zLsqBGm9OA{fgjAf58NJ;qpaLQp0sfId)LEgF#w?zfr3lNo0~Ily6%v@Jf!<;IUNv+w6XdvhsoJ?
zLm|A<=%~BqL7_*lIs3&v&#;a}YRG%`Y%N?9!l9zq`NdW=p+oYw*JLW3sR6B_B
zinS*lNZ+n+hNmx;qg!V2S&7#fY4T8O|NqyI2tD1Jt?uVikQFu%r>V>!JH5iYR--L7
zI66?)biM$clp5pp*sm>{DXNESVXe5gn-KSH-Pbac$6nB!u(PQ#B_Tsx`buF010n{8
zm%U$$W6sud)vC!GtyYk`x$*hYmM(F-Hh4)Mr>?qbqR6r6UUzWd+HzMC1$O}>^_mye
zC2%HefA2y+E)7@1Js3lW=5uc#N=jC1NL?5A$E8;%{sP54otfKLjCbv5i`^D*{C_h^
z5u1dC9l)?OMR2oVcHaD?DX0q))X^cPpt$(k{buQe?HideVHh2OpVG4tFYei{6#V9+=rYu^)^J-BoA-
z33?fnzR0w6b)(ZV-#XQiqwP~_4qjWo*?Do%5yKnF9@YU>
zRy+k_VbdlMBgFm}BZN&%U`dS5^Z$BUP*5Ky0a{LTCvzIzvqEAiQk7I*zl3qLA2g_-ly^9#aWWMLDLd=
zZ*Np+H5Q=-!Joeln@*3Vc2H1aGfs95Is1K(f3&e1VLW?!@Fld`@-W`j3;T;
zt{>2y=kpRVhs#XHF03K>IBOe=-@}o#H?W;nE%|5K@fC+XHg-~d&r&uwf6(-_WfFG{XO-4%>L8$av(t`rzrm9PF@Na4zx~Mbk56qf
z*R1=^?TL4cTp-$BGC#@QdN1x)Hj|Ti{QQH1#&&fpsgqk>Gm+~$X~K*JUpTO~DCv`3
zI6PW!_N}U&zl*lB+U0J#5sB@Gg96?)KhK!tw;AGlk+kuI&8FKiCIZ5_7kQ;->!hAs
z5}H!WnpXZvNWKn7>%wtsLHJ#ETtUu=c$qQ-QL?>O#wK+_29;e8Z-LW{p@s59PQV1qKhjx!B&v5r(wiI$#*<1BHSF3oX
zEgh-pzEq;+JQOXj$kZmPy_!OEHu$NJgS%~9ccV}%f`O$}MAiY>(E{=iLGrvfB@}_*
zfDfMae9gva`rZym8?en2htkpn{yMeRV*R{y##ANfHg5ld89jxe1+6|Z!x#C|nmg|a1
zL4!G{-vySY6lu1R)U6n%9R6`TM4X(gdLmV$>+T%RMeeh=*xAvqkG(1NmG(^H{}@{_
zO{l)cvSokVYWY&`B_e`%+zh%&p4GP1F!9DrJCbptl&vY%K54R`voq$$u(%iKLMsj+SF-=F<>Kb0?&RD56{I$1o{
zvnd2}-N88aj^$pg(Xc|g2{*{O9yMNvtsNO$R2Lu2MfMyjRej%KXh3a!+(i`&+Ot^}
zl5X!D|E?}r)*oAZoOZ}Poc&Zg&*o^^Yw++OcN^{h^6Pbdh`7^Rj6LtJPM=9rr#*^1
zD#W)y6&{kt&4nQ#fR>oZoxC=l`&HwLu3&oY(BeHM`_D+ElGh&KBl}IJw^HD)b@oa@elidZ^-)knv$#n&La<(x%*?$E4
zZ(^z{GLj%@bf#Wol6oQaqoFz6ajQySIaxOE>4SkpB6FZ#5?aIJ6~xdv4XMehDWPkX
zjDqS-gCZ^sVo(l`;u&?K)C!CT6Cd|Z7MN;JA9>yF(s1`rWvy%)qN^xm-?76gJj{6f0b{_5Fb!tt
zs{>9h%gc__svmlX>5U_GS`Mu}k>b)WXoDf9FKUW}MO;&EjLNtD8O|;_23|z*6sa3wv5j
zZT4v~Y4J*6T2a#{f0>%DFLS66vQkeTURB?5=kbb!or|quINbKwoS0
zcwTF6PUM(mnKm74@d&Ks+*>#FLULnPxu;&6o@?s~21`@i*
zc$bN?JS_+eR&Z2+TXCx^hU+DEJ#El;3FPkO*2c&S`L`3fO+^-epl8EC*Jq@#PhQs08ZkC~DZeQ+EwkM}d*KeK{`%i^%M;uNrpeslI
zInN(ObF+PuzS?rI5b19^tz7jXA*NQ-wQgh~pN3PIk`1zqZ-0&d)AY0-IXU5yKgTJhrHXFEew%qti<(t
za?}slu`9bkpc#*6>~a@RjQDHL#B62r0gCex)qz?_Y@C&K@L?MHl0*@LgZt`j(#FD@
zymPPaUE0Z0iqE6j{5?q9p_`K&(sEkMY-K~{>}8G$+ty>%k;~&Z`tbqpNm`nsIRudoz93a}5_mmqK6eVtV
zXZFRDR5f>y0;R2(nr*;Eiq98(4~{E*WJEMiLrSM5js&j-Ft$Jlq%_D5su`p=*Dj#U
zKgh;G(EwWM1kT9^*MfHRUKW9V!&z#~bR9&0w7i2k9VfSlA{Z9KZkUx_leIVjjjpM~
z8zMeU5!)Z|W{Q-U#G7bs$B!;P_fUChB1fv{Rs#};$)FV(ewiOPx;sn(M^r8ztIlnBYfm;2Hj
z?a1R~j_;<)otF1vfNmqXn(uc^{!SWYIAkr#ochw-luB|L%EM_
zDQa-ont4vtM~enwt(Gk3xB^o@
zby~kJl?90-h|vE_AAK|IJ>C&=lx)W$fi1c4)QkW8dT=?6-9iNy_;LR$*QZ?_TFnHB
z&%bd|rf`NtHdaWd>eDEc+oRLp;@Mra>)|HS{3{yFUR?U(V$W;#F-z~qtyPzlbfM>f
z;WR|Uo$&dwnbO*rv<1JMciON!=EFQai$qHnTnI5&g~L^YmYZ1kI8&^dp?>&BhUl&P
zbvy+w`bMoAd4H|MT48#s-M?O#h`w0Y%^1BlyBl+t!}bYPsMGysX;=xk>qwgg$Jm&p
zQz`9|Wl^16SkZ1&D@ogGdorbJ8d6GzwDt6VbrWQS;!>>aIv<8NG&H6bDw%W=yglk+
zkzVddsEnDIu4Qpol`kzJQ^%LLn8AjiI5suHMEpN3z(axO6UY;jdmAIr1p{P@L6Yk9
zw9W^loF8M-xHY@|kCRt(hnGYQztOV~9#yq!RN57B$7RbNDV-WlZdKNA{9L!OfeIrM
zh}XLxWO(#DpBC8M@B3!jmk90MXX!8#Ce;3|mew;7B`eswH~Bi9-n=L!Y`{{^^edTH
zQA}J8j%Dj_Ju%)#A3Tk{V(jFi*)^&S91f$m`#itMpODwwKFZG6cl;lszB(!j?|It-
z1SOGD@Zp;EuBj@EZwklN_RKBclG-_?;oDy+2gwR&b@c$
znVDy1N{c@-WA9Vt--<`#=O;7PpEI9Yk~~N%gse2!iQX(#iHclb%W2HDcIz9qQ~6<~
zjtM%&JdcUvI&T}DMSXU>8ls&5TS-k08_un+c()aHQT-ab6WO-0%jMlcdj(VMcwHlbia>zDIPXq$h34m^-)wKyQokP_7%AFDdr#tc_1cHrtLbc_z;_PZdq
z)}0AhA7W(BlujfZP;IKSSMsVcuKAV%4SuA3qlE0`zV!4m*1s(4UBuF%tkiz-iSH}H
zt6{~P4RKj?hnL`1K>qutif~NRw;Y2L2IQtA13ofitwaeGSfe3#1Qu<7p)SyuinC5d
z-Z4n6-Qe)#DNm}T#o=D~!((Ie`ewEC_%8b;6
z){y+p&Qu(g7y9LdHlO_f+hBYzFcZQfc+-s${AL$xPkoF}{Y%iP4|dMvQ~{bJ@J{Jf
zPg3wSv0=!Ey*Vlh_UWWP!yhb^?(1WpfsuMX5(0A|GD65vW_E5{S~+xhVR5Ugz8l77
z;CFo03(JF;bm}pe>8N32dcMz8je?9)`rGX+BEeQ32u6#R&%_DBdkFQhsQ4RdCg&?#
zIlI~-x?740u^!Y*r}(-e%a40@$PwT!yHi|USQPh<_DU&+M0;2#>D^q|jEuI;;=95N
zWOTR2s2z9T114aJf$bZu6tTOTJ{ZF_z(QSo>OBRQ`q%v093hm
zKf*#>+zgM=ZgZ|bxaUycWouNDi~i0z`&0maQ2|8luTdu`Nr%bH<6yEf|s)?zJ
zFF^#peS-=~3$ah3kiv&^{Tq7dc!M80$&8Py+?AvsYd@n^
zsdT_|Vl3y3GO~EXZzWTFB!wEdGW=_XOD$0{vBBpg?aA`(8#f0FZDKCD*~03X&Dk2W
zvmF|P%Omsip?*FMiNdVyHm`sj)Wi;v;8ed~hfB99#aMb5frk<>i-WX+cPRN2V%4f|
zh6UhvLKa-34kXf}#pXXI{?mu%nIwd-1~VQT^#`t?L|
zXF?$sUZ>9?5N;Bvg>;WjHlr`l$>gv9x5FReg!n!v6ST;%ja|~QST)TvRb{xIjZ;n;
z?WK(!gC+^OeWbp|?Eb9E(}xXYx!B7@%_F&?TKit_l;Ne2_gdL03;vipPMZDCOT4sg
zi_z*|LI2dYvpw$9Oq|vi1ea{%#a{G()v?!(tQ0{Iv-*<`fU_y
z#L26zu`5lt#4yhL_-@$DQHh$e(EwTR9Hz`Wwpjvi-;394gJJsncY3(IagsYvCWtPs
z&U0`UO&`i$bYjLF4&>)_ach2b{zYcKM>u#gWh;CG=8phHGxWb;Clj?;9n2V2u9$M1O3IHFZQfif
zG3=+(W;D+AB*obXFtbNryoL*jI#*vWi;DPK7Z)ji9$DnjTG(m)Yz57?(hvlmea8N3xwebB!0=rA+2m6f;%$yZp!?S+pfu
z?YLh0e1%D`jYmJ18tJ}ZMW{m4<8iV@Sad(VwJhY|Ymmy^Gk%NM+WDWTB*Y=AYR&&Q
z(H-(T+pm;*jp38V5wp(g9x7DKOoE78!N=A&D^J4EcL|@Pm9Iq@Uef2O^5?|HZfnfO
zP}~(HkA`;qc0>vjp!USkJmZhiZd<5Y`cj)?R(_L$TZ{4~6
zzEyN!eC&8xvzM6&S4mlaKm3uSWp|s|s2r%D+kY<)nu0>c8|ua#2P#ZBcHi5C$wqv=
zDF+9ByJlKt)tyyZnj9KmYEkXP!d&_ge*YGL&eUAUK)AGKaeS;cI%5nw2#+QODQ3=+
zaXqT6oSv*Je}KDjRwfH>3Xm9ZP3-tC@}8?K{FLdb#!~3?`*P~8HNW<%hics(NkgzJ
zJsSd2Sj%b^Z!Y}@!N6gmz;6_Pueh+7vcuiMj@H@!wwXASgF3GE?b;i7M5r4)g@d`j;7ov5G3Y
zlHcDiZC}(M!80vf?hEu2CFGw5pJY{~Cm*h~)!c^LFE6`tuDZ=_;hvGvW|iidcO31Q
z%Kv`rh=(-qL6r#C=0&wH3gxvgiMy#cyE}Js(qrp^FajN}unXo=?OH*{m7o}3IUeU{
z&V^UDd5(K{CmWrpuCu0ih`dJnnozp$g6;~(8>7ewO=B9tA|yMJ<8
zYcEyES!QSsS~1+2QS6E|l#sEFn)>hR_fyzPZGuYUHQD~~^oUw>ACLUN%so#KWGmMZ
z4|ri969P%#&CRu-eA}MLJCV)eDTEyy**-3i+31x!iHOnd-iq?$JF`o#|0z`fNT(S-
z=#!NXdl8GZGg*{@v$xPSGRDy-mdr}P&!xQfOh4aj+C3Q^+ud9+`2mBNzQu}-i5@tV0$lxvOJ7FqtE~36M%`RmK1)l}!Xlz0
znOU=C;b7X#ozWo^vxg%c=*rLA(T`8TY6QcOS9wgqG#PRt@gj-ap%mtk@N$NRF83Wb
zyZr~d%f;PMhSHlPGjKT~BS|^Z;P?npo&J1OjCgnDPO|CO7gq2``_YaTJq`f5l{-$R
zYdkD}U7j@PVJRT7sT+!VxOoa0OAzDqaQ!w-d2Z`XaA)HkQCCPfe>co6aDR%_r}^u_
z2VF({-q8f&83IZuHlEIUriB-NXxQ(9l85=q4m>#+lLhay2)3?o(ythsW(M>rS`w7t&U
z9)H?&O`1GVF1R3J8FoG14UoQ`s|x|_bc8J#>=QZzb}E4YX1;{k|MX_p6J*y@taJNU
z`wVqC$}$7xlaqCs-Yy~691@U!0zqQu|LH;c*}gb)qr2D1QN+$N8ZN~D}RO+%pmGa
zpF@cUYrER>ekO4#Y}prd8|Y+9eIXEfj>ByGjqiBYRfd=*J-sL_{&@M|xarKT{l8y7
zh+A0)7dk+C+2WolAPUx#RK=(r^*smPeAdEFh)XFQ^0hv|p3~6v#9K=P0bSs-e?2(=
zz9Z#si>rfz(GNu4(G7%eV+3fDW?7@*vx9Br`(*ww7*Ztua@$k_zBt`jZ!10P>;kqs
zM}Dg*;k02E!Ap}|^R{Jc7^J2sM%lYY-{adr>sIYG~!rdTj5d5{cUW
zYz`AoY1?lOVEJ{>Ms>&Wa%nftc@Bz{$!dx0PC%&jt%#ZRQ5;W8fFU3+O8p1L;x{%P
zG+yq$t3NfucUgxJy&`Mh-R_KvTx)F7k^e|f))>{liL=^H6|lHzn9;DiC2Sf~^b)>a
zFJq`Gm#qA;WcWisz>9KCQ7DJqn$$bH*^_LNSkmCH9e?b+52ytnedm+MMbfr=-CyOJ
zvn$pi5-6^!y|iksD3OXgeECf)K$JErC>V9a?oJ;^I4~GBt>AYH4Jr1k<|3bg2D+Ku
zm*x|{f3R=_#4vGX*)(lhY@}(uyJzF6sY2{~vp34*#u~%a$
zeCok1xg|F-N`QzF$Hk6TKGnQ-KA@mHECn>YIXui*57QE_$Y^~}=)rS{zp6PLEt{ln
zu#Wz~U-W|6+>;Nbc!S1$TN6i~fj`~$p(3|@!?OmBQQs%`L2=Iq+D0?<9#!9$5_t^N
z@QQvD7vK$9_bd;%njY}1Z6Tlcjd-?ng9@LqvJ2k2n5AO1+DHKF7K;E`v)S84B{u2x
zO)@Komv?8=y#hCjO>k_&oyPu1#5p4W?;M}Ow`i;F?20n0-Qu&iHWCJ)_vTp?RYz59
z?|T!8aQ1wLO{$B&(BYrcM$xINm7Yu$4;W7u5F)fH4BlGCPV-ylsgnifd9c3inC7pF
zKe})Wk?Xfh#u&9lH?I0Of1Y}tdO7`cs3*n+vI&OI_pW&-J}PdqUQpeQiRDCu0MgSN
z`%-X1)Ku(H$=lOL9Jmr4ey#+33Y31TclP~)bfM`1Tf>V)N74u7r*NNDZe
z?+L9F6ln-@_3~rN)|FDdMi^kve+HOB$kf)OcsV!&i*(gV7_MIW_NQeX+LskcH_{0s
z7NWR1>Tfk6*sim%(GB6U`(Lkm3K>Ji9xJlc`Y#uJ`PH@kYLM${U#rTRa#-pxqlRf|6E7DVSncJTM*+dLt*f=`x1Rd9^)3TbX~@*KpSIblHUq
z@uqi%bS%m1ihj_LKQ4E@Gy^qJlytMPJ;6pf7YP~)KRdwm+W9gyWsF^Vz5Bi6Cjrjo
z7SitzC0c}&Cw`ce!*xfeHJ2e)nNupF-dV@|gGJFg%64+6JVp$tD;wmDGNh(Q@HJiWgDr}qO{clV-V(2$}#Pf%D(A0A*E@}jjNtr`#`=4V~wn%wQb13OdW
zaQlR>fk)MOlgENzsjo9)P*HQCb0m~-Pb)^s#@o2*k0BE^-{tM9g*#QEhubq$^i#vr
zX{DGGTe(E6<+Zb>rpfL+eNBD?C(G^?+6A@Nlc`eSxbdL_79?F3XB~Lb3^gGxj=TS$7>0-+A(>A?n^@0uR4dfx*A-1soSA(Eip(DOg*wquQ>uv7r
z{&9KSNvP&(mlZF>^(RQ&@)te*3&^_uxv`le-F;v0E{|-3gSVIx!{|Q$YR-)4Z*J2!
zs6SohT&rovZH7IO<}m3}Hq9+R-pkL)%`;mn*N(?*cB^}Kahp#?0;?~jkH|EBf4Slm
zb2@`IQ^KSzaC<=q{uJDCr(-Q=E5vDUE6q0S+;Yk;{6f<5(R(}M#z&A4!Q0W+pukL%
ztSzI?4nKb~RDJvH0pxuKS4j@m_-~sU(c0kFv*gPs$ZloeqJ1uWUngK@3>PmlrfC@Z
zw{|_>SG7URfA5~DHS{=9dpA2b7vn*lrar8SZ{CB~Es%AaUs`pp6CG{xRoapP{CBxe
z-7`}&3vu|;ZZZ-B3^#^7(xu3(`754KU?b4h!k4aoJk>iC2AMvQ=R^)^e3TS~fR
zSy%5!dg$yw1T5VB2MfozOPT_!I1*P%i=6O*`&WWZ$~lX&FV*26
z>;Q)nI1M`xF*W6onU!D$4s;P<3x|z?V^td#A&J>$!3^A$Hu1D~3BQ^Re{{UbhT
zdaXW^mSsA1@h=y<0iqA`*&Y
ztE|yWyryf#^j>b|Nq9Lekw_RmOl|Isu#i8+{-RN_f@St^Dm00|~vR
z({vIO{7jUPH?boY<{48HQgNzW$Q{id5%Cwt*5}+-`c=+x)#o^)^0?KX$A#=Xc!Q@t
zocr~NN#|s?39!kEJSCsKIKm0x1|@EQ%t}Swo(S+-5Ya2HF;jF6G^6_dUb#~D^bGzlL+4m$uZ>$hz10|cUg%#0FWE2(lE!|tbqwPcK6r8es@lDfF#
z6WOgG-${TlCsxM)U|H_Uw)xWGVE-DKm!O!iFz*A!Y_U?S+b#`~HS@DJ_|CdBpRq0<
zNV@IF8$2pA{Znv-r_6luQpjLxi19${
z1yI5w%LvR$Hm=qZLVP#b}DXiM?`jWi!E1*n*^Kx5DoK_QXs^;
zB>qplS$-kdalF=a#sf;&Je>i7|23JDu?byVxR$tELL~V(Mk0Rs>I@_occhtyi(LoV
zetX;A)x!m@d{}3W-wQH=|8#8|6x}B(s0B{DpMQs4RPz@#%nhVBfXF9E_{b15=uX^}
zK8^&gAs`$619GA2lu_R#Vyz?_)ZFh{@^1D+#Hrs~KH&*z)OI$R4m6cU2+kT8Ddpx2
zd;Xp}fd4x9DaM)6X|MtQKuFV;c~eW84#z7wW%%6*Dd`cjJmLXL{7FXmFodF!Anv?_
zsS>I2IV5}gH>K}?w!m)_s{y@UNo%dqFy}b4;IPkhV&L8x01nQEKn6Wmdt%UN2J%~3
z@UueCpZ^0tnV}gUJ_#Mj<$w?M;_B9yOzrI_xvT52>NF|d@rPauazDoy7}{{^u{K7XAN@NdvZ9cWbwpGT1sW-bekZ33}?
z%k-E`J0e}?Zv+`G@%LnWv6hid#vClNg&Uez8B$U@KR@DANz);n9`hw!Q&P^Us`X>m
z6`&qr(nP%O|No_0c6H35bbQ{9>G5ZAmc|FnvZNUWzJ&AkBvqa^F_`l`+2EVNZSQR6~8-0&I5J
zXEffh{>CeSB!adl!TFBUEhq%@4TnHr>&;6L_!1tq$1j$mw4IG3?^8i6t}XfB-kD!(
zU9Q{CFF1D|UYu;Ap&glDwCl6_GtmyGvd#Gy&CFUUR^qE$#5*UB$m90DHl}PpsM1%o
ziZ}$zMYufSlYl{N;cV~{I>&EYGJ-&Z?N9Xyx1N9vJY~MBsGORt<&LG*_++&ZBW|95
z{XLD)<#{lQk-i9~hH`=hO5XM)TP`;$Gj_%40ng;Lh2e_18p9#xJWtp-1jAk({CB>D
z=>|yu?y6tWwtGD^uz%(_FW)?~zexAP($ONlcQ^)bhp5BvtN?Bj4J9SC9_!8B3J?!W99P5;6VcE*M9KIM|jr6F;;8mrjD?}K(GzL=DjI`F$6#7=P
zayjffbf06oHv7KDIxB1up6v_lV*_TA!VeAUY2SmE|6~!uqX_*cyrnniU)U1`dY1HD
zaLU&^OD$Yj1O!x@`tSOk1`m3+b7~(^K2FHiFLNm5IX*ppO~c)OIB7I`G0s}YWn16(
zB2j=Mq1Z$J1!dH%2^)4C`jW4U$9Iky?w6KsvwIXs^NBv$n>WkXi8PFsPr#^gzj8G^
z_dWCDc<5*U00&Os`{jg3m*1}(Z`6hlo9Ij>;DS*U%covRX$^%lXxd10_&BzQABAK8
zI^O>5|6W9EH;9+roDVv2k*=@9ON`H5JP%Lksa4OuR0Aff^K}C&gY8_JcZPjv;jLbFmH!(Zwu$t$gWc-k(*aC=O=g`v4$9AF1iQ#-%ag`X
zbqhWxiaGyU@Yb}xO8Ttjc3G_`g#ua;k(8K+ivhdR=b|6aEgM{mkiiCtsTJVsgB1W{
zR1-$^7D-VXzUHVQ6)H$6?G&WpU0uqLDXmdsmITm(&MM^B{5x8IuvwpC7oNKqB!yWL
zArM@3zt7)4ywk{`d7o=|+*$6vZ@w?DJj|y94-H1uSvq=~6Bi4OpV^P+(t#6iPS03a
z+;0#!U3ELo-@zre%;%aq0jm!rd&3G4TzqohDBg*%^@~yk3)Sc1*Qq&9po7?`vB>cx
z6)Pdmw2Ovq`R*h77-E5Y62IhqCmW7lUkDLX?#p~Qpj8>}9jc?Ewz#hd5*+T$O#N9?
ziHdyLQ_D;BrIMP?x4J3<`e%4r&mmZicL%YEbABF==A!F(#zFnd1SQZ;?=9PGtV;->
z66{^FFB%z@Lv9XUk=c|Mlv~@b{ZtTe=1nBK-iwOu%k)4$V<}~@HJ*Yp+~Ux9D%c=~UbfMQfrwSVJB}!19HLiBSX|SD#aSM??8*`m
z6Zwn9f9!DSgz5YTAP0K{pNovzgJ^?3s0aZNg-(+{yqeb4RGUWk%Tv@9p)333#Nl)g
zQ3QF9WS8Ua_FRAVyvv^E2qFCp_`j<-YrtX2*GB8b|J^e$v(=n2by2XfA&!PFl#dY%Ah%ef{S&E+{
zp4Rvi_%8I>l7?(y^9*dc?EVjtJcwQ{zf9e0M3R)%x@mjpXxR_=#Q#6&JCt+$R5gdS
zcdj#Hk8y3|PLEP1Y}rmbF~aM^f|ewpB!bEt1RoS(YJX?W4QLb_ILZjrwp%H>?5?ha
zf46p;n_;uh*&ed8{xCkH2~Cf5;Yqx|TEZ8&oy@;EJin%)G2JN6VS3%uljyv;4|BPS
zpL4ITD}k-kx65%SyA0=nR-pn=|KvowxjjL^?b2^`Pu6?*O^Z%zbNalNs*=4BP|5y9
zbFH))MHYTbKW*AN0}Q_UYshx23E~Q4sYc=fJ`8!zHV+;io`I3k*Nq|aa8mwHj*cAQ
zgUMY-(2AzJt7~zuZr^AeqU`K?w(uz?R?9UAM&?xyzaC5#OeNuUJefK5Bea;xVHlY(
zvkTIuF31Gfe(C1`^a&NE9~KVIqC%RqBqqgsy5Kce>mBv{QI0z4r73Nr(cuY~{R>zf
z8kg&D--WxSf&8N>Qt4%-TEprV-MaXH5
zZ$9_4l_}`)TO1>ZvnvhptnR!0f-NP!g>s5i6v5%mRnyXz@2zk$uXkMC6D>M{C@!L0sMpaf7N1c+IPGWIV{#stcW3yu|KW{rOkepfADUdVe
zgIf_dx*t*F7Wg8ovN9SpUyjSjc++@2w~yh#BNWQDB=0HJ9Y}fnUmivFV@cH@
z^N(g`)Ppxyj$a3rb=imjtv19*`
zjkXbE;Cl0(P|ii6le7pCa_@`-Ny=>p1KQVoc?9(ukxkt#QB1>Y*T#RC>$*+N_nLZja(Ag|x0
zMu*Q~G1;trcSL}AG=_%nNJvO>A;HtLH=u`2@7n^8+hkTc|W*Gr|3C6mE;
z89!6=8E=$wuJ6>?!jsF3wk_tCr_C#>s-iRJg2&LKA!N~Kj-6M7>iGXoWpw{XPtGT?qU
zN$3OxkPi{WO5Xj%S?l#A4*r*zm^dUPj?fw7!61rv?@nq5i%o~d{_qT;r=_=e)I+VB
z=))A%@MJp5fBjCA)9M2ZAKYAY$KTMj39Zx^mB0F
zWyy8|@I)Ct>Fj0rKCJ6Jg+MGEUs;>(rB#lLc^e)qz%?`qZs1UXjKXoW4{O5;z;qqW
zr53%ZoRMP}JrrueNv73q!rgN-AWFUR`gU>UacWrV`X>i)|`f^hb^%
z3PZD7@2G2+rhHt!{^h<$$Gbb~jq}xdzFH|?yaZ0$<&Lq@QNupn&xhu*8@16}XPhRL
z#_3yO75SHA6-_?U`NUgeRsh10Tdja*4n9fU2h1+6xFADVbR)~|q44D4w_DC1m5gT=
zjDVz8H*+&TMf(PgQaG~LQ|w*BLDzv6fz!k9-{&yv04Q(fdm?IufIH6x5HV~*`E1$!
ztvpq2Z9(67kglq5wR~^49%gud_vYq?uPctIx2mw_W^bxNNtvD1+>zL6jz1{wGyJ1<
zgDspts;f6YyP%>x7L1bkbBB_%yuWZQ^q=hV@*|g{$~UUZ=qCJ(I3#Im7{|8{geT#37GPSO9D`y*XwSms3XHpfl6TU+w$wzG3ms
zDQe^yIsxX5jtS;nk@fY=jQrQo?Iv1W{SNe#g?+V=B^PMKXITsHVDZgY
zG42a8TsMMyE)m(yVz#;M7n*6^tDfJ-eC4vMjZEe9kSyMRBZqsj6(#9%txd&U0mTB{
z+7Y$RyH2w8;l_UxI6wdUtE>${Z}b)Xl5mGt
z&L&h|EnK(Yf9mB?z4WZ$jxE)He0iuydvNeW+pQ>IL|B~B=S^{t4?XZR0FX@v>1)s3
zWa~F~4^s;2*)4NNALxu!P*X|;*}p8{pd1UpgI2HQKzKAbYw&%Z4Z>|1a)QSy=FcBu
zMx3kwcr}>Q#7E%su|>zG2*cbJk;Lf6^8a382@aB6?A7IO3SUCz>6w|!9@WN2_8219
zBe9KR#q0MgWcM2c-CHNV$pYwW(%Z+QA?NJw;}
zuhX{M*jKy{pwAM2aFFtFCFkSt%+OHbt%0;dueYYxI&2+bv_X)1s;(){P!bzur#3Sl
zN|P+MEx>t*D*Pi1t1U5u`et2`wyV2nu{|AoIZC)I?$!EPkzY7Qonmj;9wc`>kNa#syW2UD^7L}{uaRj)KwZKY_L}Qp@?1`B?MrV0ZTFvxi!HC{
zMyIEHC?fb;TYOM10U(*l*Vl5}WuJH5riacbC@5U9@{{``)n%7mFH7Xa>3Mf`48=XJ
zov(T1G*I7IJYPAbbms1!qFIM_aKuvXF3Q5nqNi!4E8yOK8%q^{8T;S2a~_v?1=I3%
zZgk~xLW)C{x%vj}fbS5qKPiQ8*!p6B$dN&>CwE^?QS}~T9=y4uByHpv!$lgQ^o`;m
zzkyu4xFyE(u}4Nx^&~HY(!@=oVHwa51UZ!QF(7$+^kiw$r}fXDq9+z8Lzjx1jb?|%K`X2dRqG5N77qFpeT9)Yo%8}!D$P)#G*VP66LJ1@^JY{&(`Nk&)%Q#;
zsWw6IcIm-2m`6vN%B9umgDJgo<}lDu4eLaTOxEm<2FmH$U3yreMJjMT`SUnSfjT#7
zCt;s|K0%Sl{d8Tqx2iUen1|-8;0z{x8M@TVBfk3j{%{YBJ(@qO_q$bsh21T&;uq$*}l?`_zW(aO-Wl
zYr#A2NV@$7D9KDI4zC-Pd45)XIVaFpJ+~&V9wqF%4qbK-yYFtWxX;Pjn1BO
zqZ*LeakhrB&P!I=dwNl;&`E}a>g1YvuMZBJN!PPSt~A$R6)$jJaiIe*Bcs9s_$
zl!(>Fq4FMc+uz^6MOG_tJ2YbcF%r^vSwLO9%6Qq?gl%5}eprO{f|LKglJZo0%VQ*t
zQ^rQF!C+-nlgd~xf>?$i{p~6X9v-Qf1RtN6ju5>o4^3U^{KIzTSKe=|$%^y*uT-?|
zds})1M^45^E$5-2bh>zL6c$=l{>`uQ~s1vt$#V@j>R26Jl?lX
zo71W2GlXSJdEUckY`!{ftnMUAN)<4Ad7jE(kWr@<6-BGrWgMKc-X|+5U%*l^6yltQ
zzq((=v&_4mK9#-KlP4=48g+}lv$p@sS=)}S7Y2lvyxkdSx%=f2X{wWrOIVH1XCu~m?z&nbNq8(t}R<&)S}LCUF(
zBfP!1=bn#A$K!=_X3<~uq#lMzpypTifO-wMCbyl>PvFizEtanaG+O6m9N6iJCzD~V
z8ox#5om?AYaCzws(2g0@{pykjQs}ZEWqI)NDaxqeD2{N)QKZE6qzc=|ssGq6yx0ho
z_zME5fI`nbbr_{6aWDmMn7}aHrUwWkt;iC#|SwxA!|+Bl$FWZXNo2^o#VPUOoMxCX~WY^`l2(2tn}hkGtiS@
zGz?ezm;FPtha+V1n^l$y4_HRuzg^r#aU-*M_ypNJx0uFoJsX)gnK-VF3%{6Qm(k2z
z{la-p?QCzLqgxHuwt(@LW$(@VT@ze_FZMV?ruD_+y$BoC&i+~wP2K$rK07)IfrzaPMuRALY|)J
z9UTt*q$_KCUG%ir7OmmD6QSi(28C3huDt$o!gk*InClXW-Gf(RNUyKTx6Wv7|D&Dw
z^nug{C7Zbwo2y4GuPVcB-=Owa7o;`cJY8oeQ?Cr2JDDuH;E(Gzmiw*`2|1bDJw3{9
zYfBiv{$hL~AM5j3mJwa>BIwm%8+LKW<*9
zy(f!5#YvaORkcaVQtEtuMn@Z7S|f%aCk0`_Q#VY=>Q0B`Fi%{stvSEiF&=Hv26PW{
zq7-F{UxRt_tf;7`CERE8*Obg)EM}e4>hjKVbE{~nukR$O@nB4$+Rbs8ehe&;!}w_R
znzGC_+LyRNUU^3P_yMSM$noEJrOL@4;U(yI-{_K5HsWf}LvObxTD~*E9HU>M?niaE
zz;}0Bykd|<3;S4XI8kr1SMRi3(&uv6;|z*~vTHVv24!t>QAUl$F?!vtl!6~&dKu$e
z-<&c5RX^()izBhZc+PZoI(pE>`NjF@6;Qr+G?dbqpy5Z%u_H&qY)zqeT_YP(a(Tf%
zsLCc6dxHv0AUtes%?NZ@7Y9RwA1vIRK`%#B@9Z^w>k11C>rW>%Vqp59BXZ}|Q`_61
zkYfslfrx^F_xV@Bc&Lu5Q;_#Jx7GpFbOn`TEUfvUW1^Dh(WoB>j2104{M^{S-m7VC
zd{|d+4z_NwmFgbTS(arxK}+F>PNhkQzAMhaUwgBZTrOi(-V~GF_tg04#3mTc?BLL$
zrGIXCEl%DRKx9tIn$P3Dav3-`MmXBLCxRGGo3io)^n#C|?Eji(w)
zp`dNB71BGuao;DT$OZd>HjeUfEXsr5JlK_#*%UPAES!?6sxV%@Lg(tGbV9t3z_$;J
zv6gG)w6zC;(+q-7pkgj3b#2NxwSl2^4!jx=ixN=R(0B;iY{uNx3E5{-AGDDT7|&GE
zo$dC*W@h5EBv;~i*k|_+Yih<-mWo`kxa_hEWD`+NmBG`gtSsa>?G$@FH8mbe@`~v#
zoG7m%n3nWPjjbX_UFCSIlDvA0^7(O}l|bEnyy;YLO3ttY6G9d4b
zWwl;Ym4j^x1%;nhx@yV4rW--2lomesCTKQMusyeFpMeoEk`c_#k(ip8l=DzJR*>BZ
zpExNao&cN-alCCswY3S|QB;bbKR*Q{Z?6f-9EpH?v#cnNeS7+A40RUQE53kCq#ltQh9(AEyGMW19Vd{`Btu~;ZrZGjm@
z)-!c}ot?eRjANk>Z9{oxYd^+pDOO#P`S+1lCmw6l2nB8@44br@uwl%c?)udg6%`?l
zjPGL6r;Uk%T#Quo8?1>r3V!eMtFQ09961e5U_c{>LszlGek>&x-e&(a_^}jaG<1Q#yJ~le@VQu0l6}Ev(!n`%*wij9oiEm{gMpVP=INtEZvtXDV#;qk
z_)J*Xy919SX2{^<%7d*PrNZ3G2#5U(>@Co-vlV+y_nt-rN!^Ve*OPTlj5)HYlvGp!
zS68k{$;lE@QU+k?-mEQ*q%WD5KwNxA+R_*6F#+CcKciRWuMwaG)zKe*vr=82`smy!z^>(pJ^v9KkahE{=0I@
zZCT&yP9tBgv_#
z%UY@61>p!CoP2$GP{}&-{$e+RbH-!uFefseozt~hKjf!%%Xg%m>B?u`BO?mmeS89(
zgoM6KWK;Jv-*cgnUrDph;vkHHYa@l|&2DAp
z*hD49Ih!9S(hYl`TFh&%tmwU~Z7?)uLO3>wM_;3|#PA`&EbaGZeSfKc6^53p5rN>%
zT2B2@t7qf+0nhyHy1bHu4m_OfRdcJx@~!~XQrLg47V*O(P6z}APTT&cqIS!|NY&`p
z==TZb4u|?r&6LVp;3ws`P=&Zm5B>T}ZK5Ti9xw;VjQIhylu0tin6qkgY0hI$*
zTRYVhlb`6>49AQ(GV1Pml8-(v)W%=4s&c&D-(9fmBskY|*d{tQUQuGK!O`UIN`ZcA
z`M5C~@uOn+b2hRc5IfZ?QNmMKpSE>$ENR+y7YsedFoyftC%P&Yoi@MFO%V}uM&HvD
z3KY<=b$j!3cphk#u$G~gSL{u(}3B$uWaAr
zeuq?f+Zg^=gp>#q2l8KYkYaN~Sh&SN3Jn!A^AEoe{lgvXls~JQfBe?Zr}^%7%X`7n
ziH6u4NHi}G+d-Y3<_C#U(Mb2!z{97lT;1)ZQCZZ%t$$EkHta_>KLsX+Wi*eBqrPPf
zUg|FP_)o(;V6}!7CV6=xnB%fox_SF@REMc-v)sxFow~$BA300ZfsJ#@8j00#ZBdmG
zQPQbr@WTs)F9BbrR!MuI6SJ}D+kL%Pu$^)5#lDx!q0hdDjHYJ(YMiA;*-lDbWq_+T
zw@HQ6F+=OA-o?*%ga*~Sr
zP|w=;6_t)B)vlZ@(*Z%F|4z&|{$?Anxc~ylN}eePy;CY7>>O34`WjWMww9KX=c5mD
zx6>JXv4lUGuM3lQDC}$R#~e^I*1hWB-m1*absX@fVQm{S%MuSo$hhx+*T7+OcB)Kk
z+b%M5mvmGS@N4{Af5pG3u5~~)#FP8>OSJSBL(2g}J!WQ#&T`69-;KCeXJg^LE?9<8
zsKtoS-zN>vYXALuAgL7H1t;n|-95jD7}scafZfS|KeISMALdcx=Qk6EnZxZ9yWAEF
zDZ+{AK9|R0rS59P0|OYj?+px9<-dG^{gxnicH_pp;1LRZ6{}Uesv(+o&WB-1gZCg;#
z+T|woK82F={7nQuOPKL}Nx)8$*#iLN$7yk@&r?u+YE!V5JAZKr1Txdg3Tv*TNTJ*8
zh$_uN<-b#&nbV1WyC{9w9)Vs0SvZc)`(vOauj+QWzgSQ+EYk7Z0!QMnuElk-T>TISq_%w<&e^L&dhXU?>$1;
z0{0l1PoLOyLBVlj6Itx9-~J6%RAozFi>ZpU-b
zC-Lq}y=57xlU+was=>kE`e-ZBkd;lnxLg2(!=q~%cHi(!X~@%wsG0KfpwN5X6}9o>
zF+c6_tGu~0)}W`y2EO_eTKHRAcq~==lQ3ca`=EaAPdW<%2NHsco%>#m=ur|#iw0)Q
zZdI!XZQ2YUHy4Z*5eupAHuZOVg!mhlu;D@@-`!yZ1ug+xmnDx_;0qY6Ta#Q>6)uom
zOl>n5+nG78-XyAC#}Q=Mt7jSR1dyGR)tH==W+;}Q3&G{-{Y*P%((>SaihI=#?4E~U4UKZJx{3@t~bBy
zCdF^`n6MpQ)|T%~#z}Z+(ne+b*}@udo<&Wr-@{F>n~h=%Smn=a@goSRRo#N>vQLn?%yMF3;sE=v;2rG!c*3NN}X9x
zNrhvoP*r)V_`H3zEoeL+yTA;LP%;zclf>@;l_vsJvcJA=iO_g9GF)7CTV6amD$g$j
z;i8;yJVnL1P-t;4Q{N|h=wTF_fb0IR%Wsch7z96~lsiV7K12s-
z`t%ciYuSq(P?dWG`?y%`IY>cH6KI#iFgXE3n&#J1*6qEr=O~uVsVxiI_^iEGZTtu)
z+yCr(`tQ9|`z`8&5WZOGR5=Bs;1Km%%ClfSO|mD-ehYW5yv2=Q<0!;~FaE69@tyv0
z1wjRj?u+G4BewXR30}@yoHkiyWk-vxvXT1{Xx5qDGeH+Uep&vj7m0$B;>!JA0x<ToSK4aiWgZL<#WUOj{+s1mbkfZwLF@4URff9?
zHkU+vrhKC
zoHE1dSS6geh4`fL-1U9>3$3@(&y5a)odJZJ;V_WX9B=RYWuj6jA(AOy(0SuNr`C9J
zLEJBmd=k!sPZzS1QY=%-Q&jgmsO4tMFM4P4mxQR=h1-
zD8+g(YairQ47Xw5oWq;RA`hVB_Hz{qEhM;Q&VWaMS
zQiPx+)VD5~!+OwYwQSh;%T~FXDm*xYx}EBxEvHI9lt}+R#td}Y4Le_lGZtmPK7WIO
z@luGQ-rwz0M&e8pTS`*sCxF1uouxFOn88H`gJ%|Ly{?Or_oZ&;j>QkHz53$Gq;=<4
z9hs8Ne;nIE9_ALBE+xam!3*q6K9?pe+eV=MPpvZ&Fd;)y@~my436`JEi}Nv-Lrl3o8WHeU7hN{ME8Sio0;$+=AdH!%2+XwNi|
z^a7>!uut1+bvBPhCY4(EIA=3xDT4;nQQ;|S`GALv{q{g;$P
z64%5QUY^5Xv*x^+b;zFUcqOnu`K!Co>0P?r5Qh6-4P2f6KO^-*f9sdrqZ`e<>Izi(
zoM_r*H$JMjlRov|UnaVm1fqC(tTL?+syw2R>F&;(F6k~&LQtd|q)WQHySux)`@J~lJpZ-cPkv!}|E`+ZvuDpt
zgd9dRa|q?TQTJg7@2f&X%f$%a5eT|vr!>-LonUN8Sy@|Z*DK19ygd9c^ORdj)H@sz
zax(+g@7R7H0uPATb|75o6A*EAoVIlWELFZHFn4Fg6Mlaw%Az=m1?nuO9Svd)%+AR!
z>K&w^JotLSJL~jXu}3QYRVRj5<+oq08mA7-2CVouQ%mSGiA!=z5{ennvNl`L+PcpU
zhU@<>38aG1>*P$ta{hNunve(_d`*dgD_fgjUBi)pTlIsWbnhEc0?;KqGA3E+f)_f|zD}?*
z|Co6aAcpn``!yjdop%1JBDX*%LD=pidD=>gi%ZRw+ad$YVO7E312DDYgM|g}ATv6n
z2G-E;IM99~JTI^Q$t{m+9{$XH@oGujcy(M3>=k=!$S@L%M*N)X(S_0rE797lemg^$
zH}lV-h4s6C(T#!d$%WlY-<9iB|_bWtvNMys9ud`X!!*)JIKr{ioajcEp+C)*sI%+4DZ?#Y)&Y
zyq9g=HhE1{LHR-?25I^!UgbB3t&z8HX1)-OEQ?sOmpzug{316G+J1_9jrxRAG}r8S
zpCl1&cZ0Z6XmREypm<5HLbsZ1l0G!BV~Np_Sp0b^0x#HZ>_6m4Ie55GQ~&fxXKtYh
z+CT1$wO!v%nXaxH%pHD^e{JmahOVrTOX&2k=$y0mL*V4*sfHqs%lV2K96~L$o&t`PMqpyAhS$@oK<|D*
zDN)W%h{1@t6_>e2`IqwuZK3&VW)&_lkfmG~&r^@SMF(4ZLT!4D&ae|PZDe{$&FTTs
z6oG?;Oc&2VS1$oMmsrriTS&YKic6(f+F*q#gX-V&SNPxg&ol`xmCCED@;Yx`x)%h%
zdF$M+Np!w}PdERd{6S=+yX2+LZe`6+c@6^wtKvC4W@hyMI9?P)#4}AcK&fBxbH@>s
zQMmIc&P$nO39IAboFQVd{mR%UVZQwnL^A4DkRUYuTjWyp%KDDNA9X?H;i?m&1n^0>
zqnfH62kc5W_r=`n8udsh0Z$eNxke!8DsM44&Kv4K$XpN*PWXunG-
zNHjl1wK%~TaVR)tuW`Jg4gNZ!lM%bhMcPn#bb$N#7~@aO@8Q~^r^V5o5z8|^=bjTTz3|!uq?`u=c3lgIrOW&@89G`E9cA=_F>o{XTQ%L83CUeGhMzw?xN!={iv
zyjOg>X%~zgY|WQX3~+4~sJ77GNK&)8r=vf?
z+I*jB=SlicILL)(Hu8^d1gm3V;U`UUtn_hagh=+-Ut9ebeKB1aka}RyI@|B&CLgqs
zgTE|)a^TS;8CW0RINNj=VvH}-~`%5egb+uFX6yC
zv+Ta>9_+oDN^<|PE=iYzAw-u$yt(bhscGdjG_esDQM=f%blree*0{z3fAv!OmaNT#
zz2~^rv++x3&8Z|&-b~|gs-$<@{5(m`#i89Bmhz=%-4%FI(E-o@7_>h}BDsofbo6;0
zpa}pM*Pat{SQtWZ@ZPtula`jWD_lPePuG{;_kGZPo#q0IgM7CWbmj3H2c*R#twj$r
z)$iYzIZ2P=c9F7iLgA_M15lLj2HYxnT5`jn^tr5JhOfW-Da3~Box3%A^5O&PXHCu7
znQJpb_ev93R_D)*eKtfPk!63tfkQOWPbhG^FU2=1br}q3&w>^1b$wuDgf9Yr-(U9;1g@SpNmr&5gMn
zMjJ3=4L&Hp;g|Y9&WQa##6m%bA}s8pJ`pO4ZPV!KN5bo1X2Z35xYhu{%uswt
z0{GpOr@wv$S8YNpb~6hsv3Cd%qfrcTy}5E{#qTe^
z^RN1G7S(0?&gS#dob&zOQ4mix@6hRWq<2cz{U_LPZXTUi0n$paIAe=vO`
z1Nq>xjC<55OZ9lfJzHE*@oP*KTS#1#
ztuXtHb9FV(6hPwk_B%8XwLWhM?0+tiD=ewb9@_HO?QlA(Pn9f@FZFH4e49FU
zWw7ppC;wN@s5~k7vCJ2Chw~6{zQF2hfVho=gK2*@vMUew1RVdp&*reM`N>ueM>aFR
zf?U30i=6+ig$klj%X{{)q=Yhv8D~U2>(>d3
zU$+f2$zaW(J&!QVbKAC0^X!}bKmMeqezoGYhgcmn_w{|}wUK?p*zX|T2{@Z~R_1Eq
zLo6CNZFmXq%yvc-Kpsr+4K&*a_qv~JxgAha$%J418yZVxyq1YyFyR&Kxyjl#*x6t`
z0Z{L-FGrq)DsXkwn^~C^_;l0M5p8&QH>>3FpgmJT6#~XLJK%Mc*3Z%J6-guvO^++Z
z5PDtBG9}JiSYNSP=&)NK{)pZZ3r90Lj|IXI7Q`FEu-0JSmrUVhqlKE>UwXwEn#f^w
zo<49L*4t2|JYI!TUH>3B=sKOlcIR<`RQ#TbIJ;DlA`vwpQ}dI|u_Bwp0ExdW*)hiO
zDle~Ozr>LH^*G}x`{yEPz-LMPZ$AKwiP*^Zy~5%bEnO}ReJ@dx%-E6L?%tfO^VC&c
zg@184>JWcjqSag(PmIb(1%=lkcpb|-JL5+@Uz~4^=)6761kuno=Qb7=NNy%0dqNY2
z8>$NYUe*$GJS}Zb)I({|{2shsoH&a#C*wj{36Tgtap3u>F&LQ
zj%#prF;f+>A!JYQYLYR*fo+U|w!fI1qStAn;h&ol_Tj&s`I4AK@-6JZo59bpOY-_S
z!(n|>=MC#{m@)%4egbCm;6hDoC^hJaDv9*SlWPbq+jlQCe&Kb3%iMW*h8ojV=HT!uOuJDR`r~20)c4&hzG511Yx)V&
zC$=Bb;+1|pTyubQcq*YZ@!if|yN4?>VZ%)d9{?$J2`$hd+|jAff`!{;z3hbZDPLEBdg&b8@p0Wk~RE9BYPEPhe$>(o=fyU{f|~LdusUv{Ag}rp?{cW
zsmpas&jV?3W6N;%8W7SLnJEAKjStBs2%{Ix*vSiQZ1gIUN+j<6Zb$`18*IQ8YHej@
zI=3lx=$ZOd{N#ow$mz4C+Yre{Bf(0b+$oDpBImtvNL*npTrExDN3f`6k7|AcX>+aZ
z+{+&Aohhdb;tjG5yi03vWzWdqqljL<4`m+85nkX}GRdg8ZvUX;=E)?6jx#(vKN$L(
zmhWpSqLVYv%miS?^9{v9atp0m`XpyL{z2*6|69+FRJ_&EIKzZ{lJmC7;#KTx|$3hbbouMvmd*$)^!vzjxRF%meqzLYu)|dBpoBfP4kVF0++7-s*Ax0)~hne6x`=PRp
z#44GucAajhHrY690q%j0|6GieKJW(bU{YDR!)X6O2I`*|`xx;r5~UmkrCxY*9;KP86E3MKsAo;y>VFAlWR)DXKW^YgYUb(i@k|Uc$n?9h9h*UUN?bhuVs<5v#+2QJ@>esmw0_O
zZDjXPi2Yl-vt&o7Yp6n;{D0Pj7^u}yW2tg=ktZcoIF0}CZ_bRGHpkA(#S!6>{Ir|R5?m#?VN7E9YXdQI0K_qRkG|cj3
zUDwJor$@dKYH42oj#HJc0|r-DpXc9aPMiE|_wteEGc6oYjXn^E>)TYEuPj|WRpMbb
z@6!o*jcW_Vo4yp4vundK*T*Z+9{NVv<1T@XAaZ$Vd&GhRG-rq^n6`AX4`4|Eu!0R<5oF9LcmBEI@gprQ!72YkssHk9qRIus?f1Nv;w7(rE
z0M5~kZ|ea}Q3t@8S%qUnZmIWc_|Qo&>Rr$m9ZsoCwN`CZ+zBNY$6{U>b`C;_`TotF
z+0g25NV&$Gw>hKca8*;f_H
zi{K~V-e(|Z_8D=|2f+6QAwRDi->uZ|pRk(pSB6fX1DN74*lZk-f(U7K;=V(x8SXDRu{a-~JN}e@F}}Bzm41Hylo9`>5KFYQFA8dn+4HRl
zW|i|jSJwX+_Lj5$AZ0Ec$7yaE(Q0}HD7gYP{;#*
zf#9sZEJ`^t1{n#9Ccf`10s>+Vk6ILfl?1b=wWTw=zWlzzi
zZAzAks3<2uTG*F$xUwVsX|?&5^6ESFuuQQwe=zmxuJ##%3gCx#)~FUVyMH;=hMtao
z^$OeAS(z@j#cLi~iULX-&V+JD40kTiU!sZ_3>!g_>CL+ppX<+W3BAtuGWni%NfPca-Vole3wx2kGDAw`mfTxTB5a;|7K0sdTso>!tS0%+9x
zg&JDIK(n#75ni2#DnpVAwBO#PQD4i{ulrMeEdAnv095oYpWbrDC7ES1TTyvN*d+kZ
zd66S|r;HgfojOv&%!_G*iZFe@TxEi`GT#mtzVSS&=YHeL9b&;zygsqRK7Y~t<_r34
zOT#e3Xe^f!TU16~6m2jKw1!5Jbn5Lkb{T;n&u>p&hv8lJL>}t~
z7|o7)ecjm|RH+0KSLw}hT{kfj
zMHFG8`lC1w34Uv0Avbd=S7Y<@=sqF&$u@#<{Q;lJA4q{q>dwW^Bv^_G1C`p$a>GWIe6EGrAk`i
z;J|BX6HhnfhV9U4)XKCNjV>><=H2~;3QZyIl`Jma7+&O?MWZ$u2x(nt%Wcy2gO>Y%
z9q>u6SWG3F%l>d2ezg-0lhEsIL6q#}p@>pw_yEcnp!5N7(>a-+jen)3b+LWnkGc=U
zAAlq2NQBSW-ex@+r`*fQx2oVP*1Ao}iDektGT+^1{pt2MVl@4I)*uQE#cbE19l=)b
z!Q{}D9NzP_-NyKrULr4oR#pZzX1UR}coJ{I6#l0LNUiBoz@*;8$q3
z@a7d35+Z^E0z!{7UI*F+xuLj7yl-S{vZwX(pax6s_R#Gaz0fhF?2;g!Xhx5&aa7v$
zl%EmmZB;TJdg{G{0%bMcjyN=f*=M&YbFp#hhT{;lI8*)G{u^3}p|nB}wxULB-z|0n
z9e0%Xmpm6tA413Mi00UU-v*`Ac&ByQCU;K|yvd7HSO3h!8H9E8^
zDEj8IQ66J_DRY-`i1hX3weNYa+j8BL29y-Uqqt{L8=GFWc=-v?*XK>yacthd7jSDn
zWBbpP^jtdAn|(Tt82Cp3&&Be;-Skb|H>YQYH`b2AnUYtN6EgbkoYMK0P`V!I7Qhy#
zrq};mdbB4(@W=A;zdO6RZY#ULtic`M=QnXqoL_1Z-3)*Hwsn3IAn=7ohmBf|e@Rhy
zY_K-Cw9m26}d-@s-blkUFHdknF!x
zE|z&SK>@kyey9WxIp4G`+0Yz(A;`;n=j6c}PwKW)S>bftTI@V*zXKbZB?_zS;epQO
zET*y;$K9-IVKosi4C6OHUBeRsxUFA!?X1ovNsF&PNISAU-8G=Gk0+?!lg{Wi-#VIJ
zU!dlHWn5pl{u~b&p>l6kW>B|IPT%Q9b<}RQ5+LTP_*>U7cZbB0vEgFZ(uejrN=gX%
z*R5bq`NYJq1^Y?sDu#)+WRM*oj}AsFYK|Ew9=&kpotUWn>!8W`Ir1f>r)pupUrq<@
z!$70qI5GF&x}$ds)uBDv*!oRIcYjVh@q$h?-_X2MT4`qJ{a4HUw?dsQ>+l)JV=l*Y
zy4G9!aqpVzZ{P9tM_y9He#ZW!R{P#JHR6ycIWCu;ouhJPcXPT}c|gec=}@cg0=CXR
zh<};MCU^Dho&;ZN6Y~PnVU~4G^OnDvcyMbnsT?Gkd*jQHoTXburm8rxpGnobi3}y>
zSiw+nag_DFCCSdNsg2+*k{Mm#{_19HcpSQ6bimBapTr%Z>p42%3ne^bFAtsQS*(_a
z7d!MquGD_YhGnVRQ;rR!oN$TR}1uOc@q8D#tjB?!35l{HLGEc1X(-3)ORM
z_0~^Wh2xnoy&iO)It$vm`W3D6Hr4L_UOSGRqyMy;tv->H62^vXOCWr0HazMtO?VWh
z{Zk=rt&YGLSFYCe6+*s3Z@s)!0+v3qbA<+4pGrHnAT^XvdM96<5H9CtiL2pPkdbsq
z8Lhu3>}6&z1!6rx_g&OF@{6BBf%oe>XdVw~7}wrQPl*ri2fAzKr^n@FmF_MV`~h6}
zp*fdMw2FIjyfW#8m1$0ia21Uo
zwjeyfGb{&Xt{NO|}|
z{@oDvmVeQ3DY2uAEYW0WPzwislR0$dN5z^ue{oSIt_UnCsf=*=DV5uA4A&YwcYYS;
zMY5>?d8ylFDhaUW&aycC1Put?U$iC-6c#o9$-N4`n{zF&Q4vYXBBR%@>+6{jN8AcC
z7A!yuyZr@YZ`^{<(1j>gh2XizcUU>=dL0D9bJU;DllHBxwrV`yj(WksEPNw6SlY87
zp+}7lGXct(gs4eWo1F$-TQ3=ol>0k&aMeywZ4H51Ho8cL)y5~AGlTFFminxv(?H3P
zF4#+eRu$=1!<_ZN8)0_$8x(~PstjoXM!XM7tWwmPYn;dZqnUMx$}w_Tn2R>a?d0Pc
z5NQEf?W71i`Vqr&OYu;1PwtlY`+o87tAaM9ZAMCksvazVmpKtd3K~fNMtA`O{S;4H(=WF>(M)h9OInb)_Fz@*G;U%l$|4rz0X_-~yhy
zsBt=Wq}XQ)!fv-O{uWqbbw^E#D{o_z)YJ)`8pMyT>aa)kuA$huR6rw?;akcW-
z#-|InHs*@w6t$GPj=U=T<3lzFV*iOi=Q)1xf+Xo)P4WH4Yl1BXIXOAyD9Rudkdiv}
zCu3Uvp1paR0SYg3{#N!8p!|?|zsZE(@k?_R`9&$3$%FOhG|L5(-SBL6^F!>HNNPMy
zL&eC=3oZTx&<;Gh?qA;vp-E3fRA^H@>Cxqh`dY74_yt$?l}>*iYb{JJ&aXI(nayon
z^m;G{$+9=VGi7vLpM?k(q~?~O;Y~GOzzEc{EFE@!nQQ9SdmOD!o_l*fn)Q)M(71|p
zLQ6WW4C7HoAjfL+$YD@F@CPTF;Z}b2P2TuM-OqQfoZe4sUO)}g+%*&^(zmAOWRbow
zFbY_cmcFjI*${2PaXFCRuazZ=WYQs!Jx#|SBxWIh-JR4eFVK)Yrt7K>Dw3E#eAZ{u
zm3-XK#gwK7Cd--!xMAZ|_96kXdj@!q)kFg{hWx}3Vvlfu|M;JMxT
zubKWIgm7bZw5KKFGM*jJmPS4}!zc5$?F91DSScVcb@}=%wmvM{etQ|0Lo(3YWW(w1X2mb_}7*^qHovC#z_SN0jzM5`E2x>H$Jdh
z6mylZB_(A^X17tH55}P5Pr7__N83+OK;@Q%V3LDIW12kC$of64J10!vLn|L$E
zRHysDx4nk)n*cYfQ5)RSTlN})nZJjOc_=qDIH$6)G!N6xG-s@(i?QcgmW8S)$3D-@Eb@a|x5Ekp8Lar|4p
z$xJyA!4+1-sIsm-S-c;H>LX`-6PRZbKeNUV&C}b3IiF$PMw7vZR1W3|K)n
zW0Qb^dm3ppLnnJ2#9BBPMbiK_LzVW_tr&n-zdD-oc-H@}hVupw6Ubp$Y#Qui`_Co5
zXmps2RT&0_aM!b>tOt7Tk@HgW1Unuj?LQWpOx8<6S8%=vg-_+w@=~xvJctrxluO4;
zizaEyqx-uUrXER#nB=;~74yO6J{L#8?dc6jVpY3ymqJANWCq`ZOy0KyV}r|v%`;`C
zFO3|Dd5iu1K6S&ilLv6CFYj-5*VrItW;E=rs6$?s%v`^fl&N?#P@FNu{AxYaR`8b1
zuUvr8q`6*x-g`-4aPferoV^MgP>*$_vBLA1my7&%f4%|b7GpT?`%p`rl)>uHc&wlUzVtAc{%f;Wd#d5W=PQNzIG%Px2<%%=$R`se59ZaNZeSChO55J@%Y8AS
z6qbGhEB$&?_!^~NEG_PW-F%UAd=}<+GcxT+2qVa*#nH(FIa=?dwrhLnC8hmuj5*F&
zq3*Y5EM!xz6;6r_QH8E>@4Em^=vg1&tivneY6cq&vz8rjdR%3ydlqqZe)4kBZ38K4
zBMd5(gsk0gDapU87}a4je6`J4W^{Jc+Hr7IlC0L_aYVhcK+q=F^pEl}kfxrj3QjGv
z!Zp|>B)r(4FYrq6KZueeQg
zp^RQ{KN3*LTU9O;6qlrhjr#}2s48N7koQ6ZQROeiuHX^K0b)mKP5eK6>Hk6()sa)s
z^MD;ilgrq)q&85!=jVJQbH<|L+H$yeP1v~uE~Ek_0~?06yLb~%u(6&(nIjG=
zP(;$;W_AjZwEbc0LGd|^1eJPELyMkWB956)uut;@CSMmn%6<3~jFcmeg?dS9Aq8{-
z(so>RGnP(e)}@#{g)CA%Nim_`tPHBELM#7jx~v=2w7<`mJx>*a@$>}mGu@*&o@^w;}#snd?}
z8DDL>y}7ks4gT!G_(d6Hv{d7^;+V&BO+3cM27Z#y$TKb%51D^UIhpQiXh5%GgRvmG
z+J601Dq6QUETDszJj*X}xPDFUmkxNLaIc-*u&F;{vYMY`
zE}S49y&>um$F;jxV53*
zAF?X#5B3J=iCP734ZT=Fb@led2ix=Z74B%4i9d}BsL1T*OkZ7j0VFSs)>I>DGdaS8Ta2aJee7p|Wq=rZTa6*i*D#p<1?zJx-(V>*HTU=1
zw}cNhIPgf@qmS;|laoWm!W8)ZYnMEzem>Q?UgFhOhQe`L!Q0=pm#&!(zN~~TGY{7`
zm%c{A6u}x~o>cqm!44x<>-hg~0vY7Hh$D-Fit^02`9z6~EkdG+VRMo4lbsVMbv1E)
zLrNiS?Xngg#Jl9&Ci-9sorgUyoK0nDDD%9i>-7Ueh_!;@q~A||dkjO0PIq#HdsaX_
z=2$p5m57SC`s)ZnH?t(i`n;8I(=*IxrOR>UsGE1WGhRDLlGn}@HkS~X=id+g?KYeZ
z$)GO(r0hA?SblWEpZggn-A*ADrO4zK$U0%*!RHw_}xl&V+cIgZMz=Ab0
z`a%`qnTq$-uG8_qlNO_oyVGpHl#VW)%fPL!ihU^BzLt&YxC)>=GS4icF0Tk9z7k+Z
zuXGA#9_o3WfzKq!^76Y+Q++MeVjBs06uQqBM+ypxTEn-^lHiIMQLo$68NE`-3H1=>
z<1?T&qJ~=y{n_&-_Wc4Gud~*;#npMa7)0$(y&y|Mwk`|xu(Hy5i>g17Y<{QTMDcSb
zjMvlsmvtl6Wi4|o7@>Jg?opEOccp)wO%dqn377Y_LY2dXTjr)p6b-|}PCuPkB`iZX
zPeYEZ2VCb=&8AN-c(k)FS;@rs&SG|Koj4lb>h2rqTHc)h{^;t51zp5#$A|~@+T7RA
z0S0BTA~E4QHAP1koV@O%*UQJdlg~JtszR7>p&^&8rBPTUgIxN~)K1p?;isi;)zveg
zBkBlAbQL5-iM|DUNUC!)T$bWW0{+cQ=$|D5)px!n)Y?bemVr<1#?1Dm402u#r22+@
z(kL&gXx?=a>C!R|&;OaM_zs1GLWgoj4`vsQ7oL3o_U&732(%8^KngZ}D@w8bKP%iG
z$H6*vTKc|0WP81v<`hK?4sx@xzJG7br(MxniUx3V@|7v+XNedNL$*trE$sBe^fRD-
z>*V{37IM%@mh*Z%B(3Zn74Rl=(jbj(eqlm#9qYeo;rxuq*3OvliSs!ef7x?@T=xpShxUQNA^)mRkjw?xIrBT68A
zdgyOPe0~$!$Hz&E^)035$;Fr8g@CO(GoTY#a?x_u(oqQ?;vx;YvK52-TJ7w@KU`We
z+q3TR=go$}w``KEA+%OqT}{w4-dt_2du7|mc$B+v;qhpJWRlaqz|Dy7`54$MP)<47
zbBV*OqCk(f^4M?6@9c0fJQJgNZQh}&EG4368LC>0=WyBFLq==@)<%JgUvv6BKm;=h3GZ-j;@&@xH+F?zbg}!sP7XGcUkU0E-{uPD*F>-}y0O))nxdstIE8@^$hp?#XblBFNZ12Q;2PYC+<$~kn
z>HTra#E_wD)xFjIT!3E$$G0y=;^&uRddq|L*!R4cMTeCL4~$Gq)<&>b{ho8ZDjXak
z6B7%s2zD~B&F0{ZvSL~~Wq#bwYF0!Q7Hq^eu>KL-M1hi)h&s8XUYlvF>Z?`C!<&bP
z3KI<>YijbzPEIf%#pjZwDOU|%k^96c;K8EqoS2~aeT)X>*qdd5(-phMjglh|IE?uAiOj9rob)F1B*sK37_g;Z3H`eeR(8A@^#*o?^~mAryMG*@K9?Ns-9?7?o=#jCH#kmAdepjmv=
z=P6xoMa%LB4|DmTDHT=D)dcBWae+iw=;nZHtmmix*LipeUk=BY%$wDNjdD$aV9|Sz
zR`hGNe(P^6l1E0FZ)CoP-&MmZv7fIk&05O9^9xV^IMCY)jgp)6u}&$XMQ72SjOz;D
zJe=z4E2Wo7vk%&#iZUm~N_J?p-UeDat-+nDS%a5NjaIN=BP+IHM*V9fpR#Xb!rz(*Bd~PH^Id&=IhH*QT0{@e=
zjJJ;R5vo^W*Y@yyfKgXIhA%N*!6*0>p#g0b2L&}C0KKJSPU2&^7X2qmEV)djHI|{n
z&iT4ee=SAujYM}pNxp%Z6yV2_Ji_R@Ve3F5+(2g`6N^k?ct$xk`aUsWdEKGx<6M*{
z%ea4%=spdLI|CATc*7?nK^e-@*qYX=Kj0N%wI)KV=;mk}8>e6+bY~NywUDL0=~5ZN
z-vcv-Hub{E)h!Y{yX7q@cFr7DyLhr!j6`UNVv?cZ7ow9L3jP+Ivd23UHSf7KoOVe4
zUN6tYn2_&)pL?^>YM8?huJEYU`DN3P%nJBl9MyXsTZ&xV9=?oE;4`qme87>{o%@5g
z4DXZa94@+<`3}N9t9dmUJS_1B)24kWL0Mz}`Vi(d%vBNL*ko>PUD~MHBrMrMAtsbven2Su;eN2R`4r^|{^i
zZtEDNORle(NWba4L_BvQxgi%8Z$!h&HJMVX}9uM6F{`r6j&H?jYGP<*WaL69GB
zbSB`PZOkE%&PV>ZYE$Dmf}n9%*?T(_^rNQGKmMwE7TL|`JRk9i4#IA0O+4!8a6cm!
ze<&P%{caNRs(=)+ioDYEUGXMSg^A6fnUi8?;7ibUuC;3l+1uTa9Q5)M7Ii~z?L_a$
zv6V&2Qgz+NRxK?u+}mX1_Rhk0x&(A8$v3Jik!^V8NDKmN2m+KChEB)m9mR38p}fn}
z#hY;@252aB85Ok)aixTziJlq4K9zuv86yS@#g!T51&ffTueT;S%7p(|{cg+uEo(3v
zm&i&mMx`Ih2BWOJytx3L@~uUSc*7-AN@Dv;faS92Hx4Q~JYyolZTAWqRVH=g5qND?`xLEa>-G7DMI!<`gG63DjP%ZpMx
zi895AiJ3;GQ~h*P8FZdpcm@+`eO_Z>V)69t+e|b-BwjU&eX5SAgQBZXn
zw0;cdh;VA*RiEpDmj{?%P>zOAvuj%U_(8l5V!qdnXn068IqwX
zcxO$?=_KTn&Z>%9iSHnu!k6rf5~sQz5L#O1%5UntD<<(jOM^L+H=44R##
zu7B($H_|en>6WC9H0U`UQL}eeOBqO`$(hhd6i5ySzb@Qy)4Y(eCS4XEKQ5QgE;=+Z
zL5RR;lWjh^{KS8jQ6z9UBBXl!@HBcn>iw#DWTtn$rr5=naq+qfnw_&8E{IA2x=%IC
z*O(}w6pg)tLn7ng!ciJZ_*=RU*OM#M48hdJpe6uIyVfD0s8o=okJ`#3-!7gK$1-dB
zV{yMBV|&`sQ;}VwMXBooszB36AuQb=F;aub6cgL;59~)feKeh$J{_REgo0{(TxH*6
zA_%-A{b70a-W1Owl$akbW-w;Eg7>{T`J4WXw!5r18@pCs2v8i#VdB$C-;EihhX_e{
z+>jQp*R6>K6a72CnzYLhK#S3g!L~mzxuvsIdf1~7hN%?uGcRHQvnMg>=nvv91&y@V
zRi~XJg)esdLo%O{DJxkQ^FY_E#@8OjhuSYpz;=y%Xnu+I9FUr{FSfi4i4N<0YTzci
zDj*)qZqd%9#+Dx&T$%9>cCqt+gkj?Na-@rm
zERr8;sOxRYs4=48eWf8EHnL}K@q5_ZrZ{$PRfb+55&P@^v;erDz(;=JH939>zIwq|
zi5^Yi*V*uJ>L<&2+vyp)*@NOql~kRm7k5OTe^pjC`{7ccoWUmwqD{~C-sw&9Q&Q1g
zbt2x|V2QlmfH1#eM6%3PW5TKSO7$H(T
zz&#{&VvR;LH~)_OUHHRvbsD~4OV|1`GZ34vU|0}6e5ef!gk#%6OyKKGea-p7QpP_s
z!e=^G0S*DV7W~!pH2vT8McW2W1`C4d!qDbCvGntIIV6b%$HTMuNHBYwVB_FHLo-_{Qj@gnJ5_ygpDO2QeqG
zsom%nUBT(!P)&vW*VDGV~z&C=~X`Yb!xWZR1Rs@AYCn}W!eJAom
zjx!JH<1qXRLaCX9-)p4iMr{IGhC-qKH@b{koP-Kycj~DL0(`z;Iom%l4trWDo8my9
z6j-Uos{A^pL%?3Qp)F|4o%Yb(-?xb@oTN3xlx%)i10D-c3H)?3Rm8d!0(eF
zvMQp;r|a2kp6M^
zxP^fU!+K7>zgOYw##Mmf(;_1+k#a1~Q4m!hnjnfdueAF25htGUzgWNJg5M!Q$s~1)
zDH{U`T0!m23xpp&dR*dfV9GTfY_dWU!WOf1`3D5MaTRjgUsvyMTf#dJUHbPfSxR&i
z6>ix?OMcBL!+ktoWqe^pL(3RU5&zpR%$mUc6*1~#&1FZ$8vzi-bg46mA-?kU+%wq?}DLV%)$`t}Wk;l80LCQT-~GH#s9*QxthLJCMXB5VtlLMHYF*$7Nx*erNl7*u*2VE{;APPt
z8VsRj$Q6PF&_vJU{Yb^UB6VkGg8T56!1R}FS{gG(9A1K)+#gWixzSy1J4b}Xwdn=1
zc?J8Ai8;{w2lGQB;sqF>Ocg`UXW^h@y$luq4o-&Q8oiq?bbG-;X5*7%jsV4ujIys3
zKC!p8b>x@Uwl7Vnh~wKEjKIyU;aJ_H?yY&Yrxp-K6x@b9^SAVu{&{TL^?rkqwu+5}
z0<%mu&T^FVs|$$A(Qd_Cq_E@mm4_KQH4ShdK7d?wrTajxp)01yNa};I0`ugfb$UzF
zLrFWsGzfVYP6Eq1x@(obatY`l5NV1G@%_#4xR;v@hch5
z7cCQoyz)AQqRF1D=9y508UX6sRdj+-C4pUKw8hfnp@RT4foX2(d3p9K$l!2Q9uw|0
zO&v_&jWQA$*9)ghej>en`dlTy*w2mM;?_~2u07W5{C}aDM06?f$%K?b@yc)#KF+-Sl*?9iZR=PXYyn8i#`#{ncQm_uHX#Js!@6Dv=Ef>*8We
zXXuq5Fu6rBlRGe(P^=D*;u(Ul%28pWUAfj7B!E!k=#|`K9iK~6B&YyzPjn9crEy9-vBaSv-Ff{~6Oig}n(yxq`6OUHfxIM*RAn&nw`_N0vV&YS>w?
z7rFHr*gPZV|GAex3eZK?oL0#!-Nm9i6&j)FSAb4=>}z{)e^JH)otm0T=*)!1VJ47{
zb6j#k=b%tJO=dQEPQh_#07$(;b$$Gb9z&8^(?~MemXcG~^fc${!%B%8a@^o$K!B
zfuG0j?I1_SfZN=iz4zC~T9DcCSu8!9JDa{;Vyj)_7u5P>;zpozedWP-nt)8ABj~;&
zo+!)I8C4M7oG(nFH>gd1On3+x=CWHd2H&Uctfin8a-}Qimnwf~>r`@htfOdhy>=f*
z@h1xh3gQZDa9gi;4PQfkAq-uFI|%|%BF;*t1USNcsuxh{lh@Y({p;`l0zn423i0e>
zz}QkawEn}ujF6ajUEzHJ6i`mFP3IO_Qu{Tn4KP214JN1KSlo7evd$iClJ=)cZBj#(
z)4UojqY~)G8TxW+6iCCZtnXvoYha`$IB=q2w>I*lDqgTWnnDj|z9L`qK>pO_VxUwl
zmSO{yH3BJl%6{R0nYeGSHApM8EMA4)^|!35UH6d#VK6ke@Sn0mAdo0B(&^fMn+(9q@j2yEdaVR9)b)~SHY*5U`Ht0a
zR!tG~0DtdhsMh@_7E`cw`nTOU9p5+j8pS<6-^tI~&ZS98HI~EoqgQKh^lN02
zaxB<7!MVTDW~vq?^$XzcBj3?`qs{i)!(`$O_)^_9ECt1HjTV<_@HVNmxIdu*`DeIX
zXTbdG!yfbVWQ9zuX0Xs-jw?1x4K(uI@;-mRt{r2BJrG3u#x*TNbvH`(JQ|ktu5=+q
z2Obu~7a_I65HHes{byvhH})>__Q&^&LKPDVNsJGYE!QfHEcRPC;HFDq=W(}+9uUX4pI#n-*cy-+J<0SgZUPJ%Z+N}yQ~<5_&Unw|i
z;ObHf_U7Lzd=|~9yC$hjZaSQ
z5@RH@>0`2}M;2BpbhnFez7XqjGEJu+)`1qID>drsbddDEfDA+HG(91)ulVJ{SN7=X
z>Jyuz!%+WQ=7Wl#&<>23ezgLxNcOc1*OAeh;VYBCya$9>rsh#M_8r2;xwWHP9Hy4J
zL#U=R2lBvp?U>$pFH6$cuvgvPy%k*v#rKzEF(pVlajMqV#ka0mgeJ)f`Ia6BY8ZJ2
znLn+q0n+RgHmF_Xp0)gw0pn-sD}h;ksAy_&>GyHHI+G5XFw0Gs5N!e-r8
znP@>_#KHmJJzXOxVD3$gIF%!Ea^o;xui>wCmF2k8UJFyykiPfyJfVbq&~Duyb)uXi
z^qiQ|LbPNdvIis!8-pg{F{9qU>R<6WOp1heh-Ru8w?^F_{O%^Q;L3200yt0$bP2o7S;H%>*E=}Om(UnX$THWKu;w%N9i)e*P}-_gjo1N*%d@&`84}y^
ziN_$CZ(HrNk&kAss6tV<#p$0Vd~B!tr3{w~VlZbBSNh|x$Hu)clveOf({Ov(BFEG8
zK231Jo9*R2v`qO?LQZj)#^NqALyh^}p<7x$(-mT34)YEQ#>fM2z4Vk6nwvMz105D7
zn&%?=(R1yROgy5u{D*&f-tFx-$(2u!K{n$V!mCKtIk3d*_+B93@LrLC#_Y|ywnvEO
zQni5J$^6p%QR&v?_u8mBPhEH@C-rQJsEH#U0+G-)oq%1RGqqYfV;43`{0
zBB{i-&m90XRJyd5)w*l4C?Ng7tOQ{bfJyE0
zaXQ$t451V#o(>aC%*w*OM9S7n85kHi-J>Kd0TtsE6((6(+4WBE6JnsDK_F~~3oo`t
zvo}TDlshneE-sF`aa_x7aaYH0C#lvdBz&iF^gNva_qcDx1BW9ms*gJ7CC_2%KSA~G
zJvRO!<@99ND&cVb+}U=k
zNv;a*u@><9N{EjiVCEtId8Taa(;xFS%BC!-CU}+i*!Y0**$pu9e?<;E7_W#o7VG2ILd*>bqE)11zCJAxAr+KQ
zJa8}zY-Y%8p3czR{YVacaRr7$7N|K{w8@x#0WeCrNoJqb5%6>Uq_iLUD#2blGVIhT
z7zl6uzwGbt&&bBs_==bTNJM)yRd3QRD%-6V2fZQ>`<66d5W7Ggfkh;ejW^Ts
z2OE+)&U+mx3nyfYGl>JU+@nOqX(1LaUV^xrS$KJU7KPGE)>V!6O7P-p9t&bbkk0Kw
z$rii9rmi8}*Q*!N!I#Ndc-b7n;TIjWswE>MQ{Kd)nYUbU3LF(K;U#us!N6bkMRQg{
zyq6S0uV3l=bk9Fl)s#W`Iwg(+@8vbf2U(KwMCn4!H;~f;wbzw|1j|&NMs`;C)if9E
zF?V_{lX7_2-GPD@{=w;Nrp(}Wodi8qb3ko3rs}Wb0+Uv4vP*7R+&aAj+{t;x7sYhU
zPIa_f*GqUwX}MDoq@DV888}KI*VoQxs)?ve(B+ZzRkJsfu-Wl2vS$zIGmP$0pC*P`
zPmHUnsJ-sCE+T_!j_IF{$eT#g6?}-7P&pPvBE2xnEPLJYu$c3T^_nll?@ro`mJ)%a
zO3TVVFfpO?^ztI2qzs*DjW%fvxnA(q$~&1tH8nkbi7Hmb4qkbxp-{iI@>QWD9JbfiR~Sj}9ewFDZRiMq!Wg
z#Ig7MO5sQsQ+ViV@BkV<$DSw@U15?bd%9fmgzw4S%lO;v=*rNO4LZC$?%Aq@PrYbI
zTBaSEFC^?g&qrN~{2_1G3eYaPlV(nlw6^94?un?Kt(_0rfs6Z5LsVm`fkYzLfrskX
z-p2G`fst5ABQq;&ub`{*a_LSY4UU7O;{!9ZR>h_5?d=upr&T8h*7OVvpx%B)H1h`|oMK&+rx)yNK4~F#8u^$|U5*4mWsJ-W%T$oFbxgQ-HM*V}^
z<|=V)scS|~@axjXrBBi{UwA8{WY9@Zh9RL|~P
z*=cWSd0=du)a4{9DtfCUA}GVVv~0w9>|lYh%HVRO?4`?{VRD39@2`LJqbYi0*cpzl
z+SI+2`Ce)*!(yFejJD07ITN_NmQt))cczGN}jwoP>ocOy4`O>#NR
z-%oXb=kTZ@-((|tV$D~_i{;(Z=7$2}3Z|Lo(G$CP57anA>Q$13Bae-ymaeYJ_F~`O
zd~!IV(5AY-4`DA-o!eIM>(?)W!;+416o2#%5VBP_G&IbYIn8y%+!2FI1plt%f4Wvw
zcWXO0Q{xxFGZb=_!3$1)cT5Zl3>l@tk%4?t+TA}gM#S+3#I2xUE9c~gSlLKweMdhm_M^<)r
zt2=_g#OEANNkIYk*3{7@aZ{`A7{7Aunu?#3FJf?r
zg$DVmS21QtrN3$LmL=j%f@tNYlgT
z$Wcv2wMc}>;D^tWofrH|>$)S@bJ0**#u_?WI2hYm8QB0*s9%#cevC{^qN=Lz*gRyj
z`;wB9Fh`1Q#U4H+{C;}kG3K&Xxk-?sQisQi7%Y84_uG*l{ym3`s>FQ_Xr*;{C4nvt
z#MR;C$Q=?HbN@E7&2$r>4mi
zI-Z=BMTEFxnn8K1KK!Qu0}kf3FL`Wesof?{yH2QFm7SSc!;)X=t7+ga0U_~Qk?cOe
ztJ^v3cZsB`V2H$;Abh@k<0^(2>84y10-+dx|5ZUj@u~EqVw>x$sNHd%
zPGTbEIcR%sSY07~`!V8j0#V0@Z;V*UwSvQ_G@5)|fs**9h3S1VXj&W1j`TrHKCaC}
zd{ShpCQo1uMERw5abRJPk*pdyHr?PNjBc_*JX9X{ffRXtbmDP|wp7U%QU5C8LoOr~*j6ed)a?dkumJsp
zIIQscq^+FZ5zZ&s4k^Go5Vv1U!bSx$!G6^NDMGB5p_IV|Um9Dv(Pd+z?VD(uHIWNR
z`j;QTP`TTHej{Ipf@@R8ufQJFO!boty2j)OOTG*
zh9|!xIr7sJ5M+SO1j|<+g-|VBymaYeZ4>O!J6mvk3&`q}tKLb|L6w9y1~h2gu+6fn77`~2#*g__0g3Np&Jfz!CYK4#gCBFrm#s4cLl
z=!R5Aa$TYJsYz3RsA>K!^>q0(>ieE8&7+Xl8$82Q*Oz)`xs{0n$!!yacyU@a!)m$@
z>DGrY$Po#1C8|0pXBQ0~bzRhl{3MHoe521iU4WYaJ&DSXOt8^4B%*D25BOz(=U#1^
z2fNq;H1+}IU>ZAsg;jCG^(%YC<+=Ic(SSkYuHZX>D!aL}Em$^WWNIJ_%?(%^pe$Wl
zKIH6f^Vh1?pOtBdwl9eiuD6}WzLJ~EpK_KJ@|5JGdmO?3+tE^B08w>NXUeK2giL?8
z3Gbf_;!qxcBU@2|k(T@}ateh23{y+DwVa#hY>4*8XT|BDgHRd-1g@
z2p7M&?}a!>PD=Bd>NEQxL@GD9Z#>7!vHdORimuPoCdD@*&kEe)i1??EId65Y2m0&b
zlI!xr`w;vitH>rMdeC2^wIcnC+3rf
zgh&KQgMP?Ga|Hzj3oEO|HOn(iCn9=#9X&A_)Xk=xutRfq_wK5NFO3MTWu_W^Fm0iZ
zt#D@$Hu9A?rYIq}ozS!dbFp&@OWg2Q;|Et8p2rj6(;rcaQ7$Y@aPT&PPzVrvUn1P*
zP`(<8xOyyjIY~fYM&{x*RxJb~C@icIeECQxSJI2wsX*$+{mnTH#03HhpSU=E^i3jw
zTJehg_x)Q4G{dr1xwGZjUz3t(S#=6=5QOC9uS+JLS0tE=pKD+2%Z7A_03j_e|FWpa
z1-_Ue#eLD&aA@KkP5C>AcijJo0DSx(l7i1w3?k0yL=wsuMY<+7Y07(`Yi0UZ!)pXW
zS66rM@NjoC#3J!WTbnqfU9l2=nr9a^Niz|rje0RbfY?RC7K7ySN&#(0+pveMJ2{B>c(-dO+Csfmfs=0manu>mP^y%hvBl5Tbi{-y|
zEQo=&4L}#p!>V6iI3|?D==yB5zFxd7hUo2gE*{r()>TUkNXLbZjSXyXo3YhL
zrw61!UpO`+yclF*_zNi_?)AbNAL7~bXsd8{UOH7pKK}morGfk=7|@%yZ(jriV809u
zbhE4kKLv@*LpKW8Uap$1__?g?Ix-YnLPFvxxLTJvUfbc9z%1={=>D_%31F^4NrS5c
zZ|S5CJU;fy!PqiOHAeZL9TZ_#7X`qEtFW8MpdgE%WlMP#4g>mb*9+z7^*tUr0W)}c
zcyGWz$fN%QxAC4HVtdr~wE(>9zH?q|^1Uh`l(a
zXcqpXe02~I7f0Ej|0sOA
zDSR3d`-hooKdp-3CmKlw<(QnB`n+_CPVj+0_?XXR5g)Ehr^k}P@E=!pEYsW7N>zz*
zR#+15W@XjF|Dl(w^##-WaAbmzk`kYklvGPgON0;$e*Tk-Kd`f7o9&3pu6PW*=5Whn
zKI=ux|K{4*Imd^)Vri)m0!xHTJ2_+oX5hNr-H$`4OY4E;8zQm
zVh4{OX@4y)ZUn3B(v<7=fMK(V+vgeX0It>L0VJfa1ZN(5nCQxtB#%!K5#2`UlyYo(
za?)`1{qsN^0)l?Qyo`+brkICH(?}7)SJvl?{Lj?*Ocw7NwtwO$PGT(H?;9N*U2+O~
z{klhRywcq%@OXE1EZf6#cg$_KyYZc5-rhve2E%b7)nh1B4*i<j~{7*X?>#FGJ}J0ZAOam0VLWxIb3rYKy7vilqZlN
z@52P>f`-8)zy#lX8sEnnA0MgUOQW^3OCPjK@0ktw4ff4QS+n)NkCMq8eBNA3EgyiK++=MW
z_2!4^%J}XNhJTO(HD4kT;7n+|9MR)&Fe_dm|DA7+viSciX4T%>#X5_YSFvPMuYhZ8Zf>rQ;WB^o=~GBb3Vm;H
z@BG1CUf$hlJajz%uU1g;-d0B^C-h`b^qh4fi3XvaDDm3;wcH
zR9I*MHHO*y6a>11@Ex&Qb27<*J_W>&mn=y50{W;`Mk4E*q9jH+}xR2S+W2Q_GKt1-*sKq
z65MR#8ZLd3{QP)(;KM+$b8$z9qU~6@dTMGaQouC_#-9wuO-n#|%AMvE^_I@TpkD>C
zAbp4$N$?Rq7M?;0oSY~7osuOZxjQ>M8J)fT{Z?b;E)gl9B0xn7ogUCjBxHA5XP1j?#r9
zMtpgBIrja5B#GBRK%W2U(UQ`&%v2$-g1s|cyssAO?#rdvekT2fd)rEzwzHCi(U0v(%
z4Ws@2X;6`_cPVxocbAG#)6>fVv){V34O5Vroh=u5nOeinE>Bz6z#y;c^h6+U`)qWg
zXQQhJ5HB6ZY%yGDDXX9mX++lY<3|^SAVuz*kH6W0N&RzpJdE-v*;yV+_VvXC3HWgb
z&&=FB8zx_=xdMW?AP=FfpJE3y(T_lZQ@(!XEE}_PS_5oHA^yI$y1KfRt*yF-Mil)5
z#8|HnZ;z{IYh-3-%52WIt3G>Hj#u}lbw2$l3z
ztV;Nh$;!!*hs7cCJ^{>XD+Ypvr9RC^p<1WI*7-5hJ?Tm;WOzHeB{oBx?J-;oR^G%6
zioFa8p2i*C0N-SEj!rw4scCAazkh$?J=P8(;b*bHwtaZ?nazD;1L}Xf(c(Ba_FDj@
ztlK_t%pQ%oO;8pHv9QPy-;%#G_hs}8c{`*zW?|lkDX-n%wZs*{SHN)3Lk|sf45I(0q4;f8eE^+WX
z&B`Y@xIq+h&t>ub$-xr4JIVlV=>On`f1Qzk-Bju7*vjqUZNlBH?+kn_EY=S_K+q5x
zzwiy}C0wVWpz2-u4|MvHRlEg&A
z|2+BK$Ai56g4ULnW@IQmv5swOC!
z{@iptdx#rn>u`r4P|U7mZsxhWs!u8WT#xH<+s_2=6DAp18JRAqfUH@c
z-IMw6JuM)Nc?P*@`##jGe!EsgMnuro-T4igqM?xnT@9H91rOn)s9CrB9|0J}nKIC#cKGy`~@t6apYtbY-*V0=0C+_x)LN0LtYoEiF0m#A0G%n3*pRE
z9AH?(sG#^;XxtDixGs>wnOTIaO$=dJnw
z6dtTU0;Y>Z=&zEC0P_kt5fX$$ivF^_5
z;pX95m9E!SID;Mo6EyPdD9BXHM%!6Lzyny!zT4Examples#> 'magick' package is suggested to install to give better rasterization.
 #> 
 #> Set `ht_opt$message = FALSE` to turn off this message.
-#> [2023-09-01 06:38:50.540295] Start Enrichment
+#> [2023-09-08 17:24:54.016719] Start Enrichment
 #> Workers: 1
 #> Species: Mus_musculus
-#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-01 05:12:05.52538
+#> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 15:30:55.528871
 #> Permform enrichment...
 #> 
  |                                                                                                                    
  |                                                                                                              |   0%
  |                                                                                                                    
  |==============================================================================================================| 100%
 #> 
-#> [2023-09-01 06:39:55.273562] Enrichment done
-#> Elapsed time:1.08 mins
+#> [2023-09-08 17:26:31.71002] Enrichment done
+#> Elapsed time:1.63 mins
 #> The size of the heatmap will be fixed as some elements are not scalable.
 # the size of the heatmap is already fixed
 ht2$plot
diff --git a/search.json b/search.json
index 5b7c87e6..778bb2f0 100644
--- a/search.json
+++ b/search.json
@@ -1 +1 @@
-[{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":null,"dir":"","previous_headings":"","what":"GNU General Public License","title":"GNU General Public License","text":"Version 3, 29 June 2007Copyright © 2007 Free Software Foundation, Inc.  Everyone permitted copy distribute verbatim copies license document, changing allowed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"preamble","dir":"","previous_headings":"","what":"Preamble","title":"GNU General Public License","text":"GNU General Public License free, copyleft license software kinds works. licenses software practical works designed take away freedom share change works. contrast, GNU General Public License intended guarantee freedom share change versions program–make sure remains free software users. , Free Software Foundation, use GNU General Public License software; applies also work released way authors. can apply programs, . speak free software, referring freedom, price. General Public Licenses designed make sure freedom distribute copies free software (charge wish), receive source code can get want , can change software use pieces new free programs, know can things. protect rights, need prevent others denying rights asking surrender rights. Therefore, certain responsibilities distribute copies software, modify : responsibilities respect freedom others. example, distribute copies program, whether gratis fee, must pass recipients freedoms received. must make sure , , receive can get source code. must show terms know rights. Developers use GNU GPL protect rights two steps: (1) assert copyright software, (2) offer License giving legal permission copy, distribute /modify . developers’ authors’ protection, GPL clearly explains warranty free software. users’ authors’ sake, GPL requires modified versions marked changed, problems attributed erroneously authors previous versions. devices designed deny users access install run modified versions software inside , although manufacturer can . fundamentally incompatible aim protecting users’ freedom change software. systematic pattern abuse occurs area products individuals use, precisely unacceptable. Therefore, designed version GPL prohibit practice products. problems arise substantially domains, stand ready extend provision domains future versions GPL, needed protect freedom users. Finally, every program threatened constantly software patents. States allow patents restrict development use software general-purpose computers, , wish avoid special danger patents applied free program make effectively proprietary. prevent , GPL assures patents used render program non-free. precise terms conditions copying, distribution modification follow.","code":""},{"path":[]},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"id_0-definitions","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"0. Definitions","title":"GNU General Public License","text":"“License” refers version 3 GNU General Public License. “Copyright” also means copyright-like laws apply kinds works, semiconductor masks. “Program” refers copyrightable work licensed License. licensee addressed “”. “Licensees” “recipients” may individuals organizations. “modify” work means copy adapt part work fashion requiring copyright permission, making exact copy. resulting work called “modified version” earlier work work “based ” earlier work. “covered work” means either unmodified Program work based Program. “propagate” work means anything , without permission, make directly secondarily liable infringement applicable copyright law, except executing computer modifying private copy. Propagation includes copying, distribution (without modification), making available public, countries activities well. “convey” work means kind propagation enables parties make receive copies. Mere interaction user computer network, transfer copy, conveying. interactive user interface displays “Appropriate Legal Notices” extent includes convenient prominently visible feature (1) displays appropriate copyright notice, (2) tells user warranty work (except extent warranties provided), licensees may convey work License, view copy License. interface presents list user commands options, menu, prominent item list meets criterion.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"id_1-source-code","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"1. Source Code","title":"GNU General Public License","text":"“source code” work means preferred form work making modifications . “Object code” means non-source form work. “Standard Interface” means interface either official standard defined recognized standards body, , case interfaces specified particular programming language, one widely used among developers working language. “System Libraries” executable work include anything, work whole, () included normal form packaging Major Component, part Major Component, (b) serves enable use work Major Component, implement Standard Interface implementation available public source code form. “Major Component”, context, means major essential component (kernel, window system, ) specific operating system () executable work runs, compiler used produce work, object code interpreter used run . “Corresponding Source” work object code form means source code needed generate, install, (executable work) run object code modify work, including scripts control activities. However, include work’s System Libraries, general-purpose tools generally available free programs used unmodified performing activities part work. example, Corresponding Source includes interface definition files associated source files work, source code shared libraries dynamically linked subprograms work specifically designed require, intimate data communication control flow subprograms parts work. Corresponding Source need include anything users can regenerate automatically parts Corresponding Source. Corresponding Source work source code form work.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"id_2-basic-permissions","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"2. Basic Permissions","title":"GNU General Public License","text":"rights granted License granted term copyright Program, irrevocable provided stated conditions met. License explicitly affirms unlimited permission run unmodified Program. output running covered work covered License output, given content, constitutes covered work. License acknowledges rights fair use equivalent, provided copyright law. may make, run propagate covered works convey, without conditions long license otherwise remains force. may convey covered works others sole purpose make modifications exclusively , provide facilities running works, provided comply terms License conveying material control copyright. thus making running covered works must exclusively behalf, direction control, terms prohibit making copies copyrighted material outside relationship . Conveying circumstances permitted solely conditions stated . Sublicensing allowed; section 10 makes unnecessary.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"id_3-protecting-users-legal-rights-from-anti-circumvention-law","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"3. Protecting Users’ Legal Rights From Anti-Circumvention Law","title":"GNU General Public License","text":"covered work shall deemed part effective technological measure applicable law fulfilling obligations article 11 WIPO copyright treaty adopted 20 December 1996, similar laws prohibiting restricting circumvention measures. convey covered work, waive legal power forbid circumvention technological measures extent circumvention effected exercising rights License respect covered work, disclaim intention limit operation modification work means enforcing, work’s users, third parties’ legal rights forbid circumvention technological measures.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"id_4-conveying-verbatim-copies","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"4. Conveying Verbatim Copies","title":"GNU General Public License","text":"may convey verbatim copies Program’s source code receive , medium, provided conspicuously appropriately publish copy appropriate copyright notice; keep intact notices stating License non-permissive terms added accord section 7 apply code; keep intact notices absence warranty; give recipients copy License along Program. may charge price price copy convey, may offer support warranty protection fee.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"id_5-conveying-modified-source-versions","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"5. Conveying Modified Source Versions","title":"GNU General Public License","text":"may convey work based Program, modifications produce Program, form source code terms section 4, provided also meet conditions: ) work must carry prominent notices stating modified , giving relevant date. b) work must carry prominent notices stating released License conditions added section 7. requirement modifies requirement section 4 “keep intact notices”. c) must license entire work, whole, License anyone comes possession copy. License therefore apply, along applicable section 7 additional terms, whole work, parts, regardless packaged. License gives permission license work way, invalidate permission separately received . d) work interactive user interfaces, must display Appropriate Legal Notices; however, Program interactive interfaces display Appropriate Legal Notices, work need make . compilation covered work separate independent works, nature extensions covered work, combined form larger program, volume storage distribution medium, called “aggregate” compilation resulting copyright used limit access legal rights compilation’s users beyond individual works permit. Inclusion covered work aggregate cause License apply parts aggregate.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"id_6-conveying-non-source-forms","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"6. Conveying Non-Source Forms","title":"GNU General Public License","text":"may convey covered work object code form terms sections 4 5, provided also convey machine-readable Corresponding Source terms License, one ways: ) Convey object code , embodied , physical product (including physical distribution medium), accompanied Corresponding Source fixed durable physical medium customarily used software interchange. b) Convey object code , embodied , physical product (including physical distribution medium), accompanied written offer, valid least three years valid long offer spare parts customer support product model, give anyone possesses object code either (1) copy Corresponding Source software product covered License, durable physical medium customarily used software interchange, price reasonable cost physically performing conveying source, (2) access copy Corresponding Source network server charge. c) Convey individual copies object code copy written offer provide Corresponding Source. alternative allowed occasionally noncommercially, received object code offer, accord subsection 6b. d) Convey object code offering access designated place (gratis charge), offer equivalent access Corresponding Source way place charge. need require recipients copy Corresponding Source along object code. place copy object code network server, Corresponding Source may different server (operated third party) supports equivalent copying facilities, provided maintain clear directions next object code saying find Corresponding Source. Regardless server hosts Corresponding Source, remain obligated ensure available long needed satisfy requirements. e) Convey object code using peer--peer transmission, provided inform peers object code Corresponding Source work offered general public charge subsection 6d. separable portion object code, whose source code excluded Corresponding Source System Library, need included conveying object code work. “User Product” either (1) “consumer product”, means tangible personal property normally used personal, family, household purposes, (2) anything designed sold incorporation dwelling. determining whether product consumer product, doubtful cases shall resolved favor coverage. particular product received particular user, “normally used” refers typical common use class product, regardless status particular user way particular user actually uses, expects expected use, product. product consumer product regardless whether product substantial commercial, industrial non-consumer uses, unless uses represent significant mode use product. “Installation Information” User Product means methods, procedures, authorization keys, information required install execute modified versions covered work User Product modified version Corresponding Source. information must suffice ensure continued functioning modified object code case prevented interfered solely modification made. convey object code work section , , specifically use , User Product, conveying occurs part transaction right possession use User Product transferred recipient perpetuity fixed term (regardless transaction characterized), Corresponding Source conveyed section must accompanied Installation Information. requirement apply neither third party retains ability install modified object code User Product (example, work installed ROM). requirement provide Installation Information include requirement continue provide support service, warranty, updates work modified installed recipient, User Product modified installed. Access network may denied modification materially adversely affects operation network violates rules protocols communication across network. Corresponding Source conveyed, Installation Information provided, accord section must format publicly documented (implementation available public source code form), must require special password key unpacking, reading copying.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"id_7-additional-terms","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"7. Additional Terms","title":"GNU General Public License","text":"“Additional permissions” terms supplement terms License making exceptions one conditions. Additional permissions applicable entire Program shall treated though included License, extent valid applicable law. additional permissions apply part Program, part may used separately permissions, entire Program remains governed License without regard additional permissions. convey copy covered work, may option remove additional permissions copy, part . (Additional permissions may written require removal certain cases modify work.) may place additional permissions material, added covered work, can give appropriate copyright permission. Notwithstanding provision License, material add covered work, may (authorized copyright holders material) supplement terms License terms: ) Disclaiming warranty limiting liability differently terms sections 15 16 License; b) Requiring preservation specified reasonable legal notices author attributions material Appropriate Legal Notices displayed works containing ; c) Prohibiting misrepresentation origin material, requiring modified versions material marked reasonable ways different original version; d) Limiting use publicity purposes names licensors authors material; e) Declining grant rights trademark law use trade names, trademarks, service marks; f) Requiring indemnification licensors authors material anyone conveys material (modified versions ) contractual assumptions liability recipient, liability contractual assumptions directly impose licensors authors. non-permissive additional terms considered “restrictions” within meaning section 10. Program received , part , contains notice stating governed License along term restriction, may remove term. license document contains restriction permits relicensing conveying License, may add covered work material governed terms license document, provided restriction survive relicensing conveying. add terms covered work accord section, must place, relevant source files, statement additional terms apply files, notice indicating find applicable terms. Additional terms, permissive non-permissive, may stated form separately written license, stated exceptions; requirements apply either way.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"id_8-termination","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"8. Termination","title":"GNU General Public License","text":"may propagate modify covered work except expressly provided License. attempt otherwise propagate modify void, automatically terminate rights License (including patent licenses granted third paragraph section 11). However, cease violation License, license particular copyright holder reinstated () provisionally, unless copyright holder explicitly finally terminates license, (b) permanently, copyright holder fails notify violation reasonable means prior 60 days cessation. Moreover, license particular copyright holder reinstated permanently copyright holder notifies violation reasonable means, first time received notice violation License (work) copyright holder, cure violation prior 30 days receipt notice. Termination rights section terminate licenses parties received copies rights License. rights terminated permanently reinstated, qualify receive new licenses material section 10.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"id_9-acceptance-not-required-for-having-copies","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"9. Acceptance Not Required for Having Copies","title":"GNU General Public License","text":"required accept License order receive run copy Program. Ancillary propagation covered work occurring solely consequence using peer--peer transmission receive copy likewise require acceptance. However, nothing License grants permission propagate modify covered work. actions infringe copyright accept License. Therefore, modifying propagating covered work, indicate acceptance License .","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"id_10-automatic-licensing-of-downstream-recipients","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"10. Automatic Licensing of Downstream Recipients","title":"GNU General Public License","text":"time convey covered work, recipient automatically receives license original licensors, run, modify propagate work, subject License. responsible enforcing compliance third parties License. “entity transaction” transaction transferring control organization, substantially assets one, subdividing organization, merging organizations. propagation covered work results entity transaction, party transaction receives copy work also receives whatever licenses work party’s predecessor interest give previous paragraph, plus right possession Corresponding Source work predecessor interest, predecessor can get reasonable efforts. may impose restrictions exercise rights granted affirmed License. example, may impose license fee, royalty, charge exercise rights granted License, may initiate litigation (including cross-claim counterclaim lawsuit) alleging patent claim infringed making, using, selling, offering sale, importing Program portion .","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"id_11-patents","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"11. Patents","title":"GNU General Public License","text":"“contributor” copyright holder authorizes use License Program work Program based. work thus licensed called contributor’s “contributor version”. contributor’s “essential patent claims” patent claims owned controlled contributor, whether already acquired hereafter acquired, infringed manner, permitted License, making, using, selling contributor version, include claims infringed consequence modification contributor version. purposes definition, “control” includes right grant patent sublicenses manner consistent requirements License. contributor grants non-exclusive, worldwide, royalty-free patent license contributor’s essential patent claims, make, use, sell, offer sale, import otherwise run, modify propagate contents contributor version. following three paragraphs, “patent license” express agreement commitment, however denominated, enforce patent (express permission practice patent covenant sue patent infringement). “grant” patent license party means make agreement commitment enforce patent party. convey covered work, knowingly relying patent license, Corresponding Source work available anyone copy, free charge terms License, publicly available network server readily accessible means, must either (1) cause Corresponding Source available, (2) arrange deprive benefit patent license particular work, (3) arrange, manner consistent requirements License, extend patent license downstream recipients. “Knowingly relying” means actual knowledge , patent license, conveying covered work country, recipient’s use covered work country, infringe one identifiable patents country reason believe valid. , pursuant connection single transaction arrangement, convey, propagate procuring conveyance , covered work, grant patent license parties receiving covered work authorizing use, propagate, modify convey specific copy covered work, patent license grant automatically extended recipients covered work works based . patent license “discriminatory” include within scope coverage, prohibits exercise , conditioned non-exercise one rights specifically granted License. may convey covered work party arrangement third party business distributing software, make payment third party based extent activity conveying work, third party grants, parties receive covered work , discriminatory patent license () connection copies covered work conveyed (copies made copies), (b) primarily connection specific products compilations contain covered work, unless entered arrangement, patent license granted, prior 28 March 2007. Nothing License shall construed excluding limiting implied license defenses infringement may otherwise available applicable patent law.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"id_12-no-surrender-of-others-freedom","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"12. No Surrender of Others’ Freedom","title":"GNU General Public License","text":"conditions imposed (whether court order, agreement otherwise) contradict conditions License, excuse conditions License. convey covered work satisfy simultaneously obligations License pertinent obligations, consequence may convey . example, agree terms obligate collect royalty conveying convey Program, way satisfy terms License refrain entirely conveying Program.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"id_13-use-with-the-gnu-affero-general-public-license","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"13. Use with the GNU Affero General Public License","title":"GNU General Public License","text":"Notwithstanding provision License, permission link combine covered work work licensed version 3 GNU Affero General Public License single combined work, convey resulting work. terms License continue apply part covered work, special requirements GNU Affero General Public License, section 13, concerning interaction network apply combination .","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"id_14-revised-versions-of-this-license","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"14. Revised Versions of this License","title":"GNU General Public License","text":"Free Software Foundation may publish revised /new versions GNU General Public License time time. new versions similar spirit present version, may differ detail address new problems concerns. version given distinguishing version number. Program specifies certain numbered version GNU General Public License “later version” applies , option following terms conditions either numbered version later version published Free Software Foundation. Program specify version number GNU General Public License, may choose version ever published Free Software Foundation. Program specifies proxy can decide future versions GNU General Public License can used, proxy’s public statement acceptance version permanently authorizes choose version Program. Later license versions may give additional different permissions. However, additional obligations imposed author copyright holder result choosing follow later version.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"id_15-disclaimer-of-warranty","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"15. Disclaimer of Warranty","title":"GNU General Public License","text":"WARRANTY PROGRAM, EXTENT PERMITTED APPLICABLE LAW. EXCEPT OTHERWISE STATED WRITING COPYRIGHT HOLDERS /PARTIES PROVIDE PROGRAM “” WITHOUT WARRANTY KIND, EITHER EXPRESSED IMPLIED, INCLUDING, LIMITED , IMPLIED WARRANTIES MERCHANTABILITY FITNESS PARTICULAR PURPOSE. ENTIRE RISK QUALITY PERFORMANCE PROGRAM . PROGRAM PROVE DEFECTIVE, ASSUME COST NECESSARY SERVICING, REPAIR CORRECTION.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"id_16-limitation-of-liability","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"16. Limitation of Liability","title":"GNU General Public License","text":"EVENT UNLESS REQUIRED APPLICABLE LAW AGREED WRITING COPYRIGHT HOLDER, PARTY MODIFIES /CONVEYS PROGRAM PERMITTED , LIABLE DAMAGES, INCLUDING GENERAL, SPECIAL, INCIDENTAL CONSEQUENTIAL DAMAGES ARISING USE INABILITY USE PROGRAM (INCLUDING LIMITED LOSS DATA DATA RENDERED INACCURATE LOSSES SUSTAINED THIRD PARTIES FAILURE PROGRAM OPERATE PROGRAMS), EVEN HOLDER PARTY ADVISED POSSIBILITY DAMAGES.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"id_17-interpretation-of-sections-15-and-16","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"17. Interpretation of Sections 15 and 16","title":"GNU General Public License","text":"disclaimer warranty limitation liability provided given local legal effect according terms, reviewing courts shall apply local law closely approximates absolute waiver civil liability connection Program, unless warranty assumption liability accompanies copy Program return fee. END TERMS CONDITIONS","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"how-to-apply-these-terms-to-your-new-programs","dir":"","previous_headings":"","what":"How to Apply These Terms to Your New Programs","title":"GNU General Public License","text":"develop new program, want greatest possible use public, best way achieve make free software everyone can redistribute change terms. , attach following notices program. safest attach start source file effectively state exclusion warranty; file least “copyright” line pointer full notice found. Also add information contact electronic paper mail. program terminal interaction, make output short notice like starts interactive mode: hypothetical commands show w show c show appropriate parts General Public License. course, program’s commands might different; GUI interface, use “box”. also get employer (work programmer) school, , sign “copyright disclaimer” program, necessary. information , apply follow GNU GPL, see . GNU General Public License permit incorporating program proprietary programs. program subroutine library, may consider useful permit linking proprietary applications library. want , use GNU Lesser General Public License instead License. first, please read .","code":" Copyright (C)     This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.  This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License for more details.  You should have received a copy of the GNU General Public License along with this program.  If not, see .   Copyright (C)    This program comes with ABSOLUTELY NO WARRANTY; for details type 'show w'. This is free software, and you are welcome to redistribute it under certain conditions; type 'show c' for details."},{"path":"https://zhanghao-njmu.github.io/SCP/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Hao Zhang. Maintainer.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Zhang H (2023). SCP: Single Cell Pipeline. R package version 0.5.1, https://github.com/zhanghao-njmu/SCP.","code":"@Manual{,   title = {SCP: Single Cell Pipeline},   author = {Hao Zhang},   year = {2023},   note = {R package version 0.5.1},   url = {https://github.com/zhanghao-njmu/SCP}, }"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"scp-single-cell-pipeline","dir":"","previous_headings":"","what":"Single Cell Pipeline","title":"Single Cell Pipeline","text":"SCP provides comprehensive set tools single-cell data processing downstream analysis. package includes following facilities: Integrated single-cell quality control methods. Pipelines embedded multiple methods normalization, feature reduction, cell population identification (standard Seurat workflow). Pipelines embedded multiple integration methods scRNA-seq scATAC-seq data, including Uncorrected, Seurat, scVI, MNN, fastMNN, Harmony, Scanorama, BBKNN, CSS, LIGER, Conos, ComBat. Multiple single-cell downstream analyses identification differential features, enrichment analysis, GSEA analysis, identification dynamic features, PAGA, RNA velocity, Palantir, Monocle2, Monocle3, etc. Multiple methods automatic annotation single-cell data methods projection single-cell datasets. High-quality data visualization methods. Fast deployment single-cell data SCExplorer, shiny app provides interactive visualization interface. functions SCP package developed around Seurat object compatible Seurat functions.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"r-version-requirement","dir":"","previous_headings":"","what":"R version requirement","title":"Single Cell Pipeline","text":"R >= 4.1.0","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"installation-in-the-global-r-environment","dir":"","previous_headings":"","what":"Installation in the global R environment","title":"Single Cell Pipeline","text":"can install latest version SCP GitHub :","code":"if (!require(\"devtools\", quietly = TRUE)) {   install.packages(\"devtools\") } devtools::install_github(\"zhanghao-njmu/SCP\")"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"create-scp-python-environment","dir":"","previous_headings":"Installation in the global R environment","what":"Create SCP python environment","title":"Single Cell Pipeline","text":"run functions RunPAGA RunSCVELO, SCP requires conda create separate python environment. default environment name \"SCP_env\". can specify environment name SCP setting options(SCP_env_name=\"new_name\") Now, can run PrepareEnv() create python environment SCP. conda binary found, automatically download install miniconda. force SCP use specific conda binary, recommended set reticulate.conda_binary R option: download miniconda pip packages slow, can specify miniconda repo PyPI mirror according network region. Available miniconda repositories: https://repo.anaconda.com/miniconda (default) http://mirrors.aliyun.com/anaconda/miniconda https://mirrors.bfsu.edu.cn/anaconda/miniconda https://mirrors.pku.edu.cn/anaconda/miniconda https://mirror.nju.edu.cn/anaconda/miniconda https://mirrors.sustech.edu.cn/anaconda/miniconda https://mirrors.xjtu.edu.cn/anaconda/miniconda https://mirrors.hit.edu.cn/anaconda/miniconda Available PyPI mirrors: https://pypi.python.org/simple (default) https://mirrors.aliyun.com/pypi/simple https://pypi.tuna.tsinghua.edu.cn/simple https://mirrors.pku.edu.cn/pypi/simple https://mirror.nju.edu.cn/pypi/web/simple https://mirrors.sustech.edu.cn/pypi/simple https://mirrors.xjtu.edu.cn/pypi/simple https://mirrors.hit.edu.cn/pypi/web/simple","code":"SCP::PrepareEnv() options(reticulate.conda_binary = \"/path/to/conda\") SCP::PrepareEnv() SCP::PrepareEnv(   miniconda_repo = \"https://mirrors.bfsu.edu.cn/anaconda/miniconda\",   pip_options = \"-i https://pypi.tuna.tsinghua.edu.cn/simple\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"installation-in-an-isolated-r-environment-using-renv","dir":"","previous_headings":"","what":"Installation in an isolated R environment using renv","title":"Single Cell Pipeline","text":"want change current R environment require reproducibility, can use renv package install SCP isolated R environment.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"create-an-isolated-r-environment","dir":"","previous_headings":"Installation in an isolated R environment using renv","what":"Create an isolated R environment","title":"Single Cell Pipeline","text":"Option 1: Install SCP GitHub create SCP python environment Option 2: SCP already installed global environment, copy SCP local library","code":"if (!require(\"renv\", quietly = TRUE)) {   install.packages(\"renv\") } dir.create(\"~/SCP_env\", recursive = TRUE) # It cannot be the home directory \"~\" ! renv::init(project = \"~/SCP_env\", bare = TRUE, restart = TRUE) renv::activate(project = \"~/SCP_env\") renv::install(\"BiocManager\") renv::install(\"zhanghao-njmu/SCP\", repos = BiocManager::repositories()) SCP::PrepareEnv() renv::activate(project = \"~/SCP_env\") renv::hydrate(\"SCP\") SCP::PrepareEnv()"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"activate-scp-environment-first-before-use","dir":"","previous_headings":"Installation in an isolated R environment using renv","what":"Activate SCP environment first before use","title":"Single Cell Pipeline","text":"","code":"renv::activate(project = \"~/SCP_env\")  library(SCP) data(\"pancreas_sub\") pancreas_sub <- RunPAGA(srt = pancreas_sub, group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\") CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"draw_graph_fr\")"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"save-and-restore-the-state-of-scp-environment","dir":"","previous_headings":"Installation in an isolated R environment using renv","what":"Save and restore the state of SCP environment","title":"Single Cell Pipeline","text":"","code":"renv::snapshot(project = \"~/SCP_env\") renv::restore(project = \"~/SCP_env\")"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"quick-start","dir":"","previous_headings":"","what":"Quick Start","title":"Single Cell Pipeline","text":"Data exploration CellQC Standard pipeline Integration pipeline Cell projection single-cell datasets Cell annotation using bulk RNA-seq datasets Cell annotation using single-cell datasets PAGA analysis Velocity analysis Differential expression analysis Enrichment analysis(-representation) Enrichment analysis(GSEA) Trajectory inference Dynamic features Interactive data visualization SCExplorer visualization examples","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"data-exploration","dir":"","previous_headings":"Quick Start","what":"Data exploration","title":"Single Cell Pipeline","text":"analysis based subsetted version mouse pancreas data.","code":"library(SCP) library(BiocParallel) register(MulticoreParam(workers = 8, progressbar = TRUE))  data(\"pancreas_sub\") print(pancreas_sub) #> An object of class Seurat  #> 47874 features across 1000 samples within 3 assays  #> Active assay: RNA (15958 features, 3467 variable features) #>  2 other assays present: spliced, unspliced #>  2 dimensional reductions calculated: PCA, UMAP CellDimPlot(   srt = pancreas_sub, group.by = c(\"CellType\", \"SubCellType\"),   reduction = \"UMAP\", theme_use = \"theme_blank\" ) CellDimPlot(   srt = pancreas_sub, group.by = \"SubCellType\", stat.by = \"Phase\",   reduction = \"UMAP\", theme_use = \"theme_blank\" ) FeatureDimPlot(   srt = pancreas_sub, features = c(\"Sox9\", \"Neurog3\", \"Fev\", \"Rbp4\"),   reduction = \"UMAP\", theme_use = \"theme_blank\" ) FeatureDimPlot(   srt = pancreas_sub, features = c(\"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\"),   compare_features = TRUE, label = TRUE, label_insitu = TRUE,   reduction = \"UMAP\", theme_use = \"theme_blank\" ) ht <- GroupHeatmap(   srt = pancreas_sub,   features = c(     \"Sox9\", \"Anxa2\", # Ductal     \"Neurog3\", \"Hes6\", # EPs     \"Fev\", \"Neurod1\", # Pre-endocrine     \"Rbp4\", \"Pyy\", # Endocrine     \"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\" # Beta, Alpha, Delta, Epsilon   ),   group.by = c(\"CellType\", \"SubCellType\"),   heatmap_palette = \"YlOrRd\",   cell_annotation = c(\"Phase\", \"G2M_score\", \"Cdh2\"),   cell_annotation_palette = c(\"Dark2\", \"Paired\", \"Paired\"),   show_row_names = TRUE, row_names_side = \"left\",   add_dot = TRUE, add_reticle = TRUE ) print(ht$plot)"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"cellqc","dir":"","previous_headings":"Quick Start","what":"CellQC","title":"Single Cell Pipeline","text":"","code":"pancreas_sub <- RunCellQC(srt = pancreas_sub) CellDimPlot(srt = pancreas_sub, group.by = \"CellQC\", reduction = \"UMAP\") CellStatPlot(srt = pancreas_sub, stat.by = \"CellQC\", group.by = \"CellType\", label = TRUE) CellStatPlot(   srt = pancreas_sub,   stat.by = c(     \"db_qc\", \"outlier_qc\", \"umi_qc\", \"gene_qc\",     \"mito_qc\", \"ribo_qc\", \"ribo_mito_ratio_qc\", \"species_qc\"   ),   plot_type = \"upset\", stat_level = \"Fail\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"standard-pipeline","dir":"","previous_headings":"Quick Start","what":"Standard pipeline","title":"Single Cell Pipeline","text":"CellDimPlot3D FeatureDimPlot3D","code":"pancreas_sub <- Standard_SCP(srt = pancreas_sub) CellDimPlot(   srt = pancreas_sub, group.by = c(\"CellType\", \"SubCellType\"),   reduction = \"StandardUMAP2D\", theme_use = \"theme_blank\" ) CellDimPlot3D(srt = pancreas_sub, group.by = \"SubCellType\") FeatureDimPlot3D(srt = pancreas_sub, features = c(\"Sox9\", \"Neurog3\", \"Fev\", \"Rbp4\"))"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"integration-pipeline","dir":"","previous_headings":"Quick Start","what":"Integration pipeline","title":"Single Cell Pipeline","text":"Example data integration subsetted version panc8(eight human pancreas datasets)  UMAP embeddings based different integration methods SCP: Integration-","code":"data(\"panc8_sub\") panc8_sub <- Integration_SCP(srtMerge = panc8_sub, batch = \"tech\", integration_method = \"Seurat\") CellDimPlot(   srt = panc8_sub, group.by = c(\"celltype\", \"tech\"), reduction = \"SeuratUMAP2D\",   title = \"Seurat\", theme_use = \"theme_blank\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"cell-projection-between-single-cell-datasets","dir":"","previous_headings":"Quick Start","what":"Cell projection between single-cell datasets","title":"Single Cell Pipeline","text":"","code":"panc8_rename <- RenameFeatures(srt = panc8_sub, newnames = make.unique(capitalize(rownames(panc8_sub), force_tolower = TRUE)), assays = \"RNA\") srt_query <- RunKNNMap(srt_query = pancreas_sub, srt_ref = panc8_rename, ref_umap = \"SeuratUMAP2D\") ProjectionPlot(   srt_query = srt_query, srt_ref = panc8_rename,   query_group = \"SubCellType\", ref_group = \"celltype\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"cell-annotation-using-bulk-rna-seq-datasets","dir":"","previous_headings":"Quick Start","what":"Cell annotation using bulk RNA-seq datasets","title":"Single Cell Pipeline","text":"","code":"data(\"ref_scMCA\") pancreas_sub <- RunKNNPredict(srt_query = pancreas_sub, bulk_ref = ref_scMCA, filter_lowfreq = 20) CellDimPlot(srt = pancreas_sub, group.by = \"KNNPredict_classification\", reduction = \"UMAP\", label = TRUE)"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"cell-annotation-using-single-cell-datasets","dir":"","previous_headings":"Quick Start","what":"Cell annotation using single-cell datasets","title":"Single Cell Pipeline","text":"","code":"pancreas_sub <- RunKNNPredict(   srt_query = pancreas_sub, srt_ref = panc8_rename,   ref_group = \"celltype\", filter_lowfreq = 20 ) CellDimPlot(srt = pancreas_sub, group.by = \"KNNPredict_classification\", reduction = \"UMAP\", label = TRUE) pancreas_sub <- RunKNNPredict(   srt_query = pancreas_sub, srt_ref = panc8_rename,   query_group = \"SubCellType\", ref_group = \"celltype\",   return_full_distance_matrix = TRUE ) CellDimPlot(srt = pancreas_sub, group.by = \"KNNPredict_classification\", reduction = \"UMAP\", label = TRUE) ht <- CellCorHeatmap(   srt_query = pancreas_sub, srt_ref = panc8_rename,   query_group = \"SubCellType\", ref_group = \"celltype\",   nlabel = 3, label_by = \"row\",   show_row_names = TRUE, show_column_names = TRUE ) print(ht$plot)"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"paga-analysis","dir":"","previous_headings":"Quick Start","what":"PAGA analysis","title":"Single Cell Pipeline","text":"","code":"pancreas_sub <- RunPAGA(   srt = pancreas_sub, group_by = \"SubCellType\",   linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\" ) PAGAPlot(srt = pancreas_sub, reduction = \"UMAP\", label = TRUE, label_insitu = TRUE, label_repel = TRUE)"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"velocity-analysis","dir":"","previous_headings":"Quick Start","what":"Velocity analysis","title":"Single Cell Pipeline","text":"","code":"pancreas_sub <- RunSCVELO(   srt = pancreas_sub, group_by = \"SubCellType\",   linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\" ) VelocityPlot(srt = pancreas_sub, reduction = \"UMAP\", group_by = \"SubCellType\") VelocityPlot(srt = pancreas_sub, reduction = \"UMAP\", plot_type = \"stream\")"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"differential-expression-analysis","dir":"","previous_headings":"Quick Start","what":"Differential expression analysis","title":"Single Cell Pipeline","text":"","code":"pancreas_sub <- RunDEtest(srt = pancreas_sub, group_by = \"CellType\", fc.threshold = 1, only.pos = FALSE) VolcanoPlot(srt = pancreas_sub, group_by = \"CellType\") DEGs <- pancreas_sub@tools$DEtest_CellType$AllMarkers_wilcox DEGs <- DEGs[with(DEGs, avg_log2FC > 1 & p_val_adj < 0.05), ] # Annotate features with transcription factors and surface proteins pancreas_sub <- AnnotateFeatures(pancreas_sub, species = \"Mus_musculus\", db = c(\"TF\", \"SP\")) ht <- FeatureHeatmap(   srt = pancreas_sub, group.by = \"CellType\", features = DEGs$gene, feature_split = DEGs$group1,   species = \"Mus_musculus\", db = c(\"GO_BP\", \"KEGG\", \"WikiPathway\"), anno_terms = TRUE,   feature_annotation = c(\"TF\", \"SP\"), feature_annotation_palcolor = list(c(\"gold\", \"steelblue\"), c(\"forestgreen\")),   height = 5, width = 4 ) print(ht$plot)"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"enrichment-analysisover-representation","dir":"","previous_headings":"Quick Start","what":"Enrichment analysis(over-representation)","title":"Single Cell Pipeline","text":"","code":"pancreas_sub <- RunEnrichment(   srt = pancreas_sub, group_by = \"CellType\", db = \"GO_BP\", species = \"Mus_musculus\",   DE_threshold = \"avg_log2FC > log2(1.5) & p_val_adj < 0.05\" ) EnrichmentPlot(   srt = pancreas_sub, group_by = \"CellType\", group_use = c(\"Ductal\", \"Endocrine\"),   plot_type = \"bar\" ) EnrichmentPlot(   srt = pancreas_sub, group_by = \"CellType\", group_use = c(\"Ductal\", \"Endocrine\"),   plot_type = \"wordcloud\" ) EnrichmentPlot(   srt = pancreas_sub, group_by = \"CellType\", group_use = c(\"Ductal\", \"Endocrine\"),   plot_type = \"wordcloud\", word_type = \"feature\" ) EnrichmentPlot(   srt = pancreas_sub, group_by = \"CellType\", group_use = \"Ductal\",   plot_type = \"network\" ) EnrichmentPlot(   srt = pancreas_sub, group_by = \"CellType\", group_use = \"Ductal\",   plot_type = \"enrichmap\" ) EnrichmentPlot(srt = pancreas_sub, group_by = \"CellType\", plot_type = \"comparison\")"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"enrichment-analysisgsea","dir":"","previous_headings":"Quick Start","what":"Enrichment analysis(GSEA)","title":"Single Cell Pipeline","text":"","code":"pancreas_sub <- RunGSEA(   srt = pancreas_sub, group_by = \"CellType\", db = \"GO_BP\", species = \"Mus_musculus\",   DE_threshold = \"p_val_adj < 0.05\" ) GSEAPlot(srt = pancreas_sub, group_by = \"CellType\", group_use = \"Endocrine\", geneSetID = \"GO:0007186\") GSEAPlot(srt = pancreas_sub, group_by = \"CellType\", plot_type = \"comparison\")"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"trajectory-inference","dir":"","previous_headings":"Quick Start","what":"Trajectory inference","title":"Single Cell Pipeline","text":"","code":"pancreas_sub <- RunSlingshot(srt = pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\") FeatureDimPlot(pancreas_sub, features = paste0(\"Lineage\", 1:3), reduction = \"UMAP\", theme_use = \"theme_blank\") CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", lineages = paste0(\"Lineage\", 1:3), lineages_span = 0.1)"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"dynamic-features","dir":"","previous_headings":"Quick Start","what":"Dynamic features","title":"Single Cell Pipeline","text":"","code":"pancreas_sub <- RunDynamicFeatures(srt = pancreas_sub, lineages = c(\"Lineage1\", \"Lineage2\"), n_candidates = 200) ht <- DynamicHeatmap(   srt = pancreas_sub, lineages = c(\"Lineage1\", \"Lineage2\"),   use_fitted = TRUE, n_split = 6, reverse_ht = \"Lineage1\",   species = \"Mus_musculus\", db = \"GO_BP\", anno_terms = TRUE, anno_keys = TRUE, anno_features = TRUE,   heatmap_palette = \"viridis\", cell_annotation = \"SubCellType\",   separate_annotation = list(\"SubCellType\", c(\"Nnat\", \"Irx1\")), separate_annotation_palette = c(\"Paired\", \"Set1\"),   feature_annotation = c(\"TF\", \"SP\"), feature_annotation_palcolor = list(c(\"gold\", \"steelblue\"), c(\"forestgreen\")),   pseudotime_label = 25, pseudotime_label_color = \"red\",   height = 5, width = 2 ) print(ht$plot) DynamicPlot(   srt = pancreas_sub, lineages = c(\"Lineage1\", \"Lineage2\"), group.by = \"SubCellType\",   features = c(\"Plk1\", \"Hes1\", \"Neurod2\", \"Ghrl\", \"Gcg\", \"Ins2\"),   compare_lineages = TRUE, compare_features = FALSE ) FeatureStatPlot(   srt = pancreas_sub, group.by = \"SubCellType\", bg.by = \"CellType\",   stat.by = c(\"Sox9\", \"Neurod2\", \"Isl1\", \"Rbp4\"), add_box = TRUE,   comparisons = list(     c(\"Ductal\", \"Ngn3 low EP\"),     c(\"Ngn3 high EP\", \"Pre-endocrine\"),     c(\"Alpha\", \"Beta\")   ) )"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"interactive-data-visualization-with-scexplorer","dir":"","previous_headings":"Quick Start","what":"Interactive data visualization with SCExplorer","title":"Single Cell Pipeline","text":"","code":"PrepareSCExplorer(list(mouse_pancreas = pancreas_sub, human_pancreas = panc8_sub), base_dir = \"./SCExplorer\") app <- RunSCExplorer(base_dir = \"./SCExplorer\") list.files(\"./SCExplorer\") # This directory can be used as site directory for Shiny Server.  if (interactive()) {   shiny::runApp(app) }"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"other-visualization-examples","dir":"","previous_headings":"Quick Start","what":"Other visualization examples","title":"Single Cell Pipeline","text":"CellDimPlotCellStatPlotFeatureStatPlotGroupHeatmap can also find examples documentation function: Integration_SCP, RunKNNMap, RunMonocle3, RunPalantir, etc.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/AnnotateFeatures.html","id":null,"dir":"Reference","previous_headings":"","what":"AnnotateFeatures — AnnotateFeatures","title":"AnnotateFeatures — AnnotateFeatures","text":"AnnotateFeatures","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/AnnotateFeatures.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"AnnotateFeatures — AnnotateFeatures","text":"","code":"AnnotateFeatures(   srt,   species = \"Homo_sapiens\",   IDtype = c(\"symbol\", \"ensembl_id\", \"entrez_id\"),   db = NULL,   db_update = FALSE,   db_version = \"latest\",   convert_species = FALSE,   Ensembl_version = 103,   mirror = NULL,   gtf = NULL,   merge_gtf_by = \"gene_name\",   columns = c(\"seqname\", \"feature\", \"start\", \"end\", \"strand\", \"gene_id\", \"gene_name\",     \"gene_type\"),   assays = \"RNA\",   overwrite = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/AnnotateFeatures.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"AnnotateFeatures — AnnotateFeatures","text":"convert_species","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/AnnotateFeatures.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"AnnotateFeatures — AnnotateFeatures","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- AnnotateFeatures(pancreas_sub,   species = \"Mus_musculus\", IDtype = \"symbol\",   db = c(\"Chromosome\", \"GeneType\", \"Enzyme\", \"TF\", \"CSPA\", \"VerSeDa\") ) #> Species: Mus_musculus #> Preparing database: Chromosome #> Preparing database: GeneType #> Preparing database: Enzyme #> Preparing database: TF #> Preparing database: CSPA #> Preparing database: VerSeDa #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 11269 genes mapped with ensembl_peptide_id #> ============================== #> 11269 genes mapped #> 1197 genes unmapped #> ============================== #> Convert ID types for the database: Chromosome #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 27650 genes mapped with entrez_id #> ============================== #> 27650 genes mapped #> 44558 genes unmapped #> ============================== #> Convert ID types for the database: GeneType #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 27650 genes mapped with entrez_id #> ============================== #> 27650 genes mapped #> 45394 genes unmapped #> ============================== #> Convert ID types for the database: Enzyme #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 2263 genes mapped with entrez_id #> ============================== #> 2263 genes mapped #> 20 genes unmapped #> ============================== head(pancreas_sub[[\"RNA\"]]@meta.features) #>               highly_variable_genes Chromosome       GeneType Enzyme   TF CSPA          VerSeDa #> Mrpl15                        False       chr1 protein-coding      SecretoryProtein #> Npbwr1                                chr1 protein-coding                   #> 4732440D04Rik                 False                                     #> Gm26901                       False                                     #> Sntg1                          True       chr1 protein-coding      SecretoryProtein #> Mybl1                         False       chr1 protein-coding      TF                ## Annotate features using a GTF file # pancreas_sub <- AnnotateFeatures(pancreas_sub, gtf = \"/data/reference/CellRanger/refdata-gex-mm10-2020-A/genes/genes.gtf\") # head(pancreas_sub[[\"RNA\"]]@meta.features)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/BBKNN_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"BBKNN_integrate — BBKNN_integrate","title":"BBKNN_integrate — BBKNN_integrate","text":"BBKNN_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/BBKNN_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"BBKNN_integrate — BBKNN_integrate","text":"","code":"BBKNN_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   linear_reduction = \"pca\",   linear_reduction_dims = 50,   linear_reduction_dims_use = NULL,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   bbknn_params = list(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/BBKNN_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"BBKNN_integrate — BBKNN_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". linear_reduction linear reduction method name. Can one \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Dimensions calculate performing linear reduction. linear_reduction_dims_use dimensions use performing nonlinear reduction. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CC_GenePrefetch.html","id":null,"dir":"Reference","previous_headings":"","what":"Prefetch cycle gene — CC_GenePrefetch","title":"Prefetch cycle gene — CC_GenePrefetch","text":"Based human cell cycle genes, cell cycle genes corresponding species captured homologous gene conversion.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CC_GenePrefetch.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Prefetch cycle gene — CC_GenePrefetch","text":"","code":"CC_GenePrefetch(   species = \"Homo_sapiens\",   Ensembl_version = 103,   mirror = NULL,   max_tries = 5,   use_cached_gene = TRUE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CC_GenePrefetch.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Prefetch cycle gene — CC_GenePrefetch","text":"species Latin names animals,.e., \"Homo_sapiens\", \"Mus_musculus\" Ensembl_version Ensembl database version. NULL, use current release version. mirror Specify Ensembl mirror connect . valid options 'www', 'uswest', 'useast', 'asia'. max_tries Number max_tries connect biomart service. use_cached_gene Whether use previously cached cell cycle gene conversion results species.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CC_GenePrefetch.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Prefetch cycle gene — CC_GenePrefetch","text":"list S-phase G2M-phase genes.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CC_GenePrefetch.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Prefetch cycle gene — CC_GenePrefetch","text":"","code":"ccgenes <- CC_GenePrefetch(\"Homo_sapiens\") str(ccgenes) #> List of 3 #>  $ res         : NULL #>  $ cc_S_genes  : chr [1:43] \"MCM5\" \"PCNA\" \"TYMS\" \"FEN1\" ... #>  $ cc_G2M_genes: chr [1:54] \"HMGB2\" \"CDK1\" \"NUSAP1\" \"UBE2C\" ... ccgenes <- CC_GenePrefetch(\"Mus_musculus\") #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset hsapiens ... #> Connecting to the dataset hsapiens_gene_ensembl ... #> Converting the geneIDs... #> 97 genes mapped with ensembl_symbol #> ============================== #> 97 genes mapped #> 0 genes unmapped #> ============================== str(ccgenes) #> List of 3 #>  $ res         :List of 7 #>   ..$ geneID_res     :'data.frame':\t99 obs. of  4 variables: #>   .. ..$ from_IDtype: chr [1:99] \"ensembl_symbol\" \"ensembl_symbol\" \"ensembl_symbol\" \"ensembl_symbol\" ... #>   .. ..$ from_geneID: chr [1:99] \"NCAPD2\" \"ANLN\" \"UBR7\" \"TACC3\" ... #>   .. ..$ to_IDtype  : chr [1:99] \"symbol\" \"symbol\" \"symbol\" \"symbol\" ... #>   .. ..$ to_geneID  : chr [1:99] \"Ncapd2\" \"Anln\" \"Ubr7\" \"Tacc3\" ... #>   ..$ geneID_collapse:'data.frame':\t94 obs. of  2 variables: #>   .. ..$ from_geneID: chr [1:94] \"ANLN\" \"ANP32E\" \"AURKA\" \"AURKB\" ... #>   .. ..$ symbol     :List of 94 #>   .. .. ..$ : chr \"Anln\" #>   .. .. ..$ : chr \"Anp32e\" #>   .. .. ..$ : chr \"Aurka\" #>   .. .. ..$ : chr \"Aurkb\" #>   .. .. ..$ : chr \"Birc5\" #>   .. .. ..$ : chr \"Blm\" #>   .. .. ..$ : chr \"Bub1\" #>   .. .. ..$ : chr \"Casp8ap2\" #>   .. .. ..$ : chr \"Cbx5\" #>   .. .. ..$ : chr \"Ccnb2\" #>   .. .. ..$ : chr \"Ccne2\" #>   .. .. ..$ : chr \"Cdc20\" #>   .. .. ..$ : chr \"Cdc25c\" #>   .. .. ..$ : chr \"Cdc45\" #>   .. .. ..$ : chr \"Cdc6\" #>   .. .. ..$ : chr \"Cdca2\" #>   .. .. ..$ : chr \"Cdca3\" #>   .. .. ..$ : chr \"Cdca7\" #>   .. .. ..$ : chr \"Cdca8\" #>   .. .. ..$ : chr \"Cdk1\" #>   .. .. ..$ : chr \"Cenpa\" #>   .. .. ..$ : chr \"Cenpe\" #>   .. .. ..$ : chr \"Cenpf\" #>   .. .. ..$ : chr \"Cenpu\" #>   .. .. ..$ : chr \"Chaf1b\" #>   .. .. ..$ : chr \"Ckap2\" #>   .. .. ..$ : chr \"Ckap2l\" #>   .. .. ..$ : chr \"Ckap5\" #>   .. .. ..$ : chr \"Cks1b\" #>   .. .. ..$ : chr \"Cks2\" #>   .. .. ..$ : chr \"Clspn\" #>   .. .. ..$ : chr \"Ctcf\" #>   .. .. ..$ : chr \"Dlgap5\" #>   .. .. ..$ : chr \"Dscc1\" #>   .. .. ..$ : chr \"Dtl\" #>   .. .. ..$ : chr \"E2f8\" #>   .. .. ..$ : chr \"Ect2\" #>   .. .. ..$ : chr \"Exo1\" #>   .. .. ..$ : chr \"Fen1\" #>   .. .. ..$ : chr \"G2e3\" #>   .. .. ..$ : chr \"Gas2l3\" #>   .. .. ..$ : chr \"Gins2\" #>   .. .. ..$ : chr \"Gmnn\" #>   .. .. ..$ : chr \"Gtse1\" #>   .. .. ..$ : chr \"Hells\" #>   .. .. ..$ : chr \"Hjurp\" #>   .. .. ..$ : chr \"Hmgb2\" #>   .. .. ..$ : chr \"Hmmr\" #>   .. .. ..$ : chr \"Kif11\" #>   .. .. ..$ : chr \"Kif20b\" #>   .. .. ..$ : chr \"Kif23\" #>   .. .. ..$ : chr \"Kif2c\" #>   .. .. ..$ : chr \"Lbr\" #>   .. .. ..$ : chr \"Mcm4\" #>   .. .. ..$ : chr \"Mcm5\" #>   .. .. ..$ : chr \"Mcm6\" #>   .. .. ..$ : chr \"Mcm7\" #>   .. .. ..$ : chr \"Mki67\" #>   .. .. ..$ : chr \"Mrpl36\" #>   .. .. ..$ : chr \"Msh2\" #>   .. .. ..$ : chr \"Nasp\" #>   .. .. ..$ : chr \"Ncapd2\" #>   .. .. ..$ : chr \"Ndc80\" #>   .. .. ..$ : chr \"Nek2\" #>   .. .. ..$ : chr \"Nuf2\" #>   .. .. ..$ : chr \"Nusap1\" #>   .. .. ..$ : chr \"Pcna\" #>   .. .. ..$ : chr \"Pimreg\" #>   .. .. ..$ : chr \"Pola1\" #>   .. .. ..$ : chr \"Polr1b\" #>   .. .. ..$ : chr \"Prim1\" #>   .. .. ..$ : chr \"Psrc1\" #>   .. .. ..$ : chr \"Rad51\" #>   .. .. ..$ : chr \"Rad51ap1\" #>   .. .. ..$ : chr \"Rangap1\" #>   .. .. ..$ : chr \"Rfc2\" #>   .. .. ..$ : chr \"Rrm1\" #>   .. .. ..$ : chr \"Rrm2\" #>   .. .. ..$ : chr \"Slbp\" #>   .. .. ..$ : chr \"Smc4\" #>   .. .. ..$ : chr \"Tacc3\" #>   .. .. ..$ : chr \"Tipin\" #>   .. .. ..$ : chr \"Tmpo\" #>   .. .. ..$ : chr \"Top2a\" #>   .. .. ..$ : chr \"Tpx2\" #>   .. .. ..$ : chr \"Ttk\" #>   .. .. ..$ : chr \"Tubb4b\" #>   .. .. ..$ : chr \"Tyms\" #>   .. .. ..$ : chr \"Ube2c\" #>   .. .. ..$ : chr \"Ubr7\" #>   .. .. ..$ : chr \"Uhrf1\" #>   .. .. ..$ : chr \"Ung\" #>   .. .. ..$ : chr \"Usp1\" #>   .. .. ..$ : chr \"Wdr76\" #>   .. .. ..- attr(*, \"class\")= chr \"AsIs\" #>   ..$ geneID_expand  :'data.frame':\t94 obs. of  2 variables: #>   .. ..$ from_geneID: chr [1:94] \"ANLN\" \"ANP32E\" \"AURKA\" \"AURKB\" ... #>   .. ..$ symbol     : chr [1:94] \"Anln\" \"Anp32e\" \"Aurka\" \"Aurkb\" ... #>   ..$ Ensembl_version: chr \"103\" #>   ..$ Datasets       :'data.frame':\t202 obs. of  3 variables: #>   .. ..$ dataset    : 'AsIs' chr [1:202] \"abrachyrhynchus_gene_ensembl\" \"acalliptera_gene_ensembl\" \"acarolinensis_gene_ensembl\" \"acchrysaetos_gene_ensembl\" ... #>   .. ..$ description: 'AsIs' chr [1:202] \"Pink-footed goose genes (ASM259213v1)\" \"Eastern happy genes (fAstCal1.2)\" \"Anole lizard genes (AnoCar2.0)\" \"Golden eagle genes (bAquChr1.2)\" ... #>   .. ..$ version    : 'AsIs' chr [1:202] \"ASM259213v1\" \"fAstCal1.2\" \"AnoCar2.0\" \"bAquChr1.2\" ... #>   ..$ Attributes     :'data.frame':\t3183 obs. of  3 variables: #>   .. ..$ name       : chr [1:3183] \"ensembl_gene_id\" \"ensembl_gene_id_version\" \"ensembl_transcript_id\" \"ensembl_transcript_id_version\" ... #>   .. ..$ description: chr [1:3183] \"Gene stable ID\" \"Gene stable ID version\" \"Transcript stable ID\" \"Transcript stable ID version\" ... #>   .. ..$ page       : chr [1:3183] \"feature_page\" \"feature_page\" \"feature_page\" \"feature_page\" ... #>   ..$ geneID_unmapped: chr(0)  #>  $ cc_S_genes  : chr [1:41] \"Mcm5\" \"Pcna\" \"Tyms\" \"Fen1\" ... #>  $ cc_G2M_genes: chr [1:53] \"Hmgb2\" \"Cdk1\" \"Nusap1\" \"Ube2c\" ..."},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CSS_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"CSS_integrate — CSS_integrate","title":"CSS_integrate — CSS_integrate","text":"CSS_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CSS_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"CSS_integrate — CSS_integrate","text":"","code":"CSS_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   linear_reduction = \"pca\",   linear_reduction_dims = 50,   linear_reduction_dims_use = NULL,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   CSS_dims_use = NULL,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   CSS_params = list(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CSS_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"CSS_integrate — CSS_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". linear_reduction linear reduction method name. Can one \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Dimensions calculate performing linear reduction. linear_reduction_dims_use dimensions use performing nonlinear reduction. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellCorHeatmap.html","id":null,"dir":"Reference","previous_headings":"","what":"CellCorHeatmap — CellCorHeatmap","title":"CellCorHeatmap — CellCorHeatmap","text":"CellCorHeatmap","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellCorHeatmap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"CellCorHeatmap — CellCorHeatmap","text":"","code":"CellCorHeatmap(   srt_query,   srt_ref = NULL,   bulk_ref = NULL,   query_group = NULL,   ref_group = NULL,   query_assay = NULL,   ref_assay = NULL,   query_reduction = NULL,   ref_reduction = NULL,   query_dims = 1:30,   ref_dims = 1:30,   query_collapsing = !is.null(query_group),   ref_collapsing = TRUE,   features = NULL,   features_type = c(\"HVF\", \"DE\"),   feature_source = \"both\",   nfeatures = 2000,   DEtest_param = list(max.cells.per.ident = 200, test.use = \"wilcox\"),   DE_threshold = \"p_val_adj < 0.05\",   distance_metric = \"cosine\",   k = 30,   filter_lowfreq = 0,   prefix = \"KNNPredict\",   legend_title = NULL,   border = TRUE,   flip = FALSE,   limits = NULL,   cluster_rows = FALSE,   cluster_columns = FALSE,   show_row_names = FALSE,   show_column_names = FALSE,   row_names_side = \"left\",   column_names_side = \"top\",   row_names_rot = 0,   column_names_rot = 90,   row_title = NULL,   column_title = NULL,   row_title_side = \"left\",   column_title_side = \"top\",   row_title_rot = 90,   column_title_rot = 0,   nlabel = 0,   label_cutoff = 0,   label_by = \"row\",   label_size = 10,   heatmap_palette = \"RdBu\",   heatmap_palcolor = NULL,   query_group_palette = \"Paired\",   query_group_palcolor = NULL,   ref_group_palette = \"simspec\",   ref_group_palcolor = NULL,   query_cell_annotation = NULL,   query_cell_annotation_palette = \"Paired\",   query_cell_annotation_palcolor = NULL,   query_cell_annotation_params = if (flip) list(height = grid::unit(1, \"cm\")) else     list(width = grid::unit(1, \"cm\")),   ref_cell_annotation = NULL,   ref_cell_annotation_palette = \"Paired\",   ref_cell_annotation_palcolor = NULL,   ref_cell_annotation_params = if (flip) list(width = grid::unit(1, \"cm\")) else     list(height = grid::unit(1, \"cm\")),   use_raster = NULL,   raster_device = \"png\",   raster_by_magick = FALSE,   height = NULL,   width = NULL,   units = \"inch\",   seed = 11,   ht_params = list() )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellCorHeatmap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"CellCorHeatmap — CellCorHeatmap","text":"raster_by_magick","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellCorHeatmap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"CellCorHeatmap — CellCorHeatmap","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- Standard_SCP(pancreas_sub) #> [2023-09-01 05:04:46.074888] Start Standard_SCP #> [2023-09-01 05:04:46.076055] Checking srtList... ... #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-01 05:04:47.130293] Finished checking. #> [2023-09-01 05:04:47.130488] Perform ScaleData on the data... #> [2023-09-01 05:04:47.301688] Perform linear dimension reduction (pca) on the data... #> [2023-09-01 05:04:48.162095] Perform FindClusters (louvain) on the data... #> [2023-09-01 05:04:48.279286] Reorder clusters... #> [2023-09-01 05:04:48.564533] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-01 05:04:55.006887] Standard_SCP done #> Elapsed time: 8.93 secs  ht1 <- CellCorHeatmap(srt_query = pancreas_sub, query_group = \"SubCellType\") #> Use the HVF to calculate distance metric. #> Use 2000 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... ht1$plot   data(\"panc8_sub\") # Simply convert genes from human to mouse and preprocess the data genenames <- make.unique(capitalize(rownames(panc8_sub), force_tolower = TRUE)) panc8_sub <- RenameFeatures(panc8_sub, newnames = genenames) #> Rename features for the assay: RNA panc8_sub <- check_srtMerge(panc8_sub, batch = \"tech\")[[\"srtMerge\"]] #> [2023-09-01 05:04:57.98962] Spliting srtMerge into srtList by column tech... ... #> [2023-09-01 05:04:58.54543] Checking srtList... ... #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/5 of the srtList... #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 2/5 of the srtList... #> Data 3/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 3/5 of the srtList... #> Data 4/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 4/5 of the srtList... #> Data 5/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 5/5 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-01 05:05:02.761989] Finished checking.  ht2 <- CellCorHeatmap(   srt_query = pancreas_sub, srt_ref = panc8_sub, nlabel = 3, label_cutoff = 0.6,   query_group = \"SubCellType\", ref_group = \"celltype\",   query_cell_annotation = \"Phase\", query_cell_annotation_palette = \"Set2\",   ref_cell_annotation = \"tech\", ref_cell_annotation_palette = \"Set3\",   width = 3, height = 2 ) #> Use the HVF to calculate distance metric. #> Use 631 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... #> The size of the heatmap will be fixed as some elements are not scalable. ht2$plot   ht3 <- CellCorHeatmap(   srt_query = pancreas_sub, srt_ref = panc8_sub,   query_group = \"SubCellType\", query_collapsing = FALSE, cluster_rows = TRUE,   ref_group = \"celltype\", ref_collapsing = FALSE, cluster_columns = TRUE ) #> Use the HVF to calculate distance metric. #> Use 631 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... ht3$plot   ht4 <- CellCorHeatmap(   srt_query = pancreas_sub, srt_ref = panc8_sub,   show_row_names = TRUE, show_column_names = TRUE,   query_group = \"SubCellType\", ref_group = \"celltype\",   query_cell_annotation = c(\"Sox9\", \"Rbp4\", \"Gcg\"),   ref_cell_annotation = c(\"Sox9\", \"Rbp4\", \"Gcg\") ) #> Use the HVF to calculate distance metric. #> Use 631 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... ht4$plot"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDensityPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"CellDensityPlot — CellDensityPlot","title":"CellDensityPlot — CellDensityPlot","text":"CellDensityPlot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDensityPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"CellDensityPlot — CellDensityPlot","text":"","code":"CellDensityPlot(   srt,   features,   group.by,   split.by = NULL,   assay = NULL,   slot = \"data\",   flip = FALSE,   reverse = FALSE,   x_order = c(\"value\", \"rank\"),   decreasing = NULL,   palette = \"Paired\",   palcolor = NULL,   cells = NULL,   keep_empty = FALSE,   y.nbreaks = 4,   y.min = NULL,   y.max = NULL,   same.y.lims = FALSE,   aspect.ratio = NULL,   title = NULL,   subtitle = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE,   force = FALSE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDensityPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"CellDensityPlot — CellDensityPlot","text":"seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDensityPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"CellDensityPlot — CellDensityPlot","text":"","code":"data(\"pancreas_sub\") CellDensityPlot(pancreas_sub, features = \"Sox9\", group.by = \"SubCellType\") #> Picking joint bandwidth of 0.453   pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\") #> Warning: Removed 8 rows containing missing values (`geom_path()`). #> Warning: Removed 8 rows containing missing values (`geom_path()`).  CellDensityPlot(pancreas_sub, features = \"Lineage1\", group.by = \"SubCellType\", aspect.ratio = 1) #> Picking joint bandwidth of 0.663  CellDensityPlot(pancreas_sub, features = \"Lineage1\", group.by = \"SubCellType\", flip = TRUE) #> Picking joint bandwidth of 0.663"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDimPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"Visualize cell groups on a 2-dimensional reduction plot — CellDimPlot","title":"Visualize cell groups on a 2-dimensional reduction plot — CellDimPlot","text":"Plotting cell points reduced 2D plane coloring according groups.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDimPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Visualize cell groups on a 2-dimensional reduction plot — CellDimPlot","text":"","code":"CellDimPlot(   srt,   group.by,   reduction = NULL,   dims = c(1, 2),   split.by = NULL,   cells = NULL,   show_na = FALSE,   show_stat = TRUE,   pt.size = NULL,   pt.alpha = 1,   palette = \"Paired\",   palcolor = NULL,   bg_color = \"grey80\",   label = FALSE,   label.size = 4,   label.fg = \"white\",   label.bg = \"black\",   label.bg.r = 0.1,   label_insitu = FALSE,   label_repel = FALSE,   label_repulsion = 20,   label_point_size = 1,   label_point_color = \"black\",   label_segment_color = \"black\",   cells.highlight = NULL,   cols.highlight = \"black\",   sizes.highlight = 1,   alpha.highlight = 1,   stroke.highlight = 0.5,   add_density = FALSE,   density_color = \"grey80\",   density_filled = FALSE,   density_filled_palette = \"Greys\",   density_filled_palcolor = NULL,   lineages = NULL,   lineages_weights = NULL,   lineages_trim = c(0.01, 0.99),   lineages_span = 0.75,   lineages_palette = \"Dark2\",   lineages_palcolor = NULL,   lineages_arrow = arrow(length = unit(0.1, \"inches\")),   lineages_linewidth = 1,   lineages_line_bg = \"white\",   lineages_line_bg_stroke = 0.5,   lineages_whiskers = FALSE,   lineages_whiskers_linewidth = 0.5,   lineages_whiskers_alpha = 0.5,   stat.by = NULL,   stat_type = \"percent\",   stat_plot_type = \"pie\",   stat_plot_position = c(\"stack\", \"dodge\"),   stat_plot_size = 0.15,   stat_plot_palette = \"Set1\",   stat_palcolor = NULL,   stat_plot_alpha = 1,   stat_plot_label = FALSE,   stat_plot_label_size = 3,   graph = NULL,   edge_size = c(0.05, 0.5),   edge_alpha = 0.1,   edge_color = \"grey40\",   paga = NULL,   paga_type = \"connectivities\",   paga_node_size = 4,   paga_edge_threshold = 0.01,   paga_edge_size = c(0.2, 1),   paga_edge_color = \"grey40\",   paga_edge_alpha = 0.5,   paga_transition_threshold = 0.01,   paga_transition_size = c(0.2, 1),   paga_transition_color = \"black\",   paga_transition_alpha = 1,   paga_show_transition = FALSE,   velocity = NULL,   velocity_plot_type = \"raw\",   velocity_n_neighbors = ceiling(ncol(srt@assays[[1]])/50),   velocity_density = 1,   velocity_smooth = 0.5,   velocity_scale = 1,   velocity_min_mass = 1,   velocity_cutoff_perc = 5,   velocity_arrow_color = \"black\",   velocity_arrow_angle = 20,   streamline_L = 5,   streamline_minL = 1,   streamline_res = 1,   streamline_n = 15,   streamline_width = c(0, 0.8),   streamline_alpha = 1,   streamline_color = NULL,   streamline_palette = \"RdYlBu\",   streamline_palcolor = NULL,   streamline_bg_color = \"white\",   streamline_bg_stroke = 0.5,   hex = FALSE,   hex.linewidth = 0.5,   hex.count = TRUE,   hex.bins = 50,   hex.binwidth = NULL,   raster = NULL,   raster.dpi = c(512, 512),   aspect.ratio = 1,   title = NULL,   subtitle = NULL,   xlab = NULL,   ylab = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE,   force = FALSE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDimPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Visualize cell groups on a 2-dimensional reduction plot — CellDimPlot","text":"srt Seurat object. group.Name one meta.data columns group (color) cells (example, orig.ident). reduction dimensionality reduction use. specified, use reduction returned DefaultReduction. dims Dimensions plot, must two-length numeric vector specifying x- y-dimensions split.Name column meta.data column split plot . cells Subset cells plot. show_na Whether assign color color palette NA group. FALSE, cell points NA level colored bg_color. show_stat Whether show statistical information plot. pt.size Point size. pt.alpha Point transparency. palette Name color palette name collected SCP. Default \"Paired\". palcolor Custom colors used create color palette. bg_color Color value background(NA) points. label Whether label cell groups. label.size Size labels. label.fg Foreground color label. label.bg Background color label. label.bg.r Background ratio label. label_insitu Whether place raw labels (group names) center cells corresponding group. Default FALSE, using numbers instead raw labels. label_repel Logical value indicating whether label repel away center points. label_repulsion Force repulsion overlapping text labels. Defaults 20. label_point_size Size center points. label_point_color Color center points. label_segment_color Color line segment labels. cells.highlight vector cell names highlight. cols.highlight Color used highlight cells. sizes.highlight Size highlighted cell points. alpha.highlight Transparency highlighted cell points. stroke.highlight Border width highlighted cell points. add_density Whether add density layer plot. density_color Color density contours lines. density_filled Whether add filled contour bands instead contour lines. density_filled_palette Color palette used fill contour bands. density_filled_palcolor Custom colors used fill contour bands. lineages Lineages/pseudotime add plot. specified, curves fitted using loess method. lineages_trim Trim leading trailing data lineages. lineages_span parameter α controls degree smoothing loess method. lineages_palette Color palette used lineages. lineages_palcolor Custom colors used lineages. lineages_arrow Set arrows lineages. See arrow. lineages_linewidth Width fitted curve lines lineages. lineages_line_bg Background color curve lines lineages. lineages_line_bg_stroke Border width curve lines background. lineages_whiskers Whether add whiskers lineages. lineages_whiskers_linewidth Width whiskers lineages. lineages_whiskers_alpha Transparency whiskers lineages. stat.name metadata column stat. stat_type Set stat types (\"percent\" \"count\"). stat_plot_type Set statistical plot type. stat_plot_position Position adjustment statistical plot. stat_plot_size Set statistical plot size. Defaults 0.1 stat_plot_palette Color palette used statistical plot stat_palcolor Custom colors used statistical plot stat_plot_alpha Transparency statistical plot. stat_plot_label Whether add labels statistical plot. stat_plot_label_size Label size statistical plot. graph Specify graph name add edges cell neighbors plot. edge_size Size edges. edge_alpha Transparency edges. edge_color Color edges. paga Specify calculated paga results add PAGA graph layer plot. paga_type PAGA plot type. \"connectivities\" \"connectivities_tree\". paga_node_size Size nodes PAGA plot. paga_edge_threshold Threshold edge connectivities PAGA plot. paga_edge_size Size edges PAGA plot. paga_edge_color Color edges PAGA plot. paga_edge_alpha Transparency edges PAGA plot. paga_transition_threshold Threshold transition edges PAGA plot. paga_transition_size Size transition edges PAGA plot. paga_transition_color Color transition edges PAGA plot. paga_transition_alpha Transparency transition edges PAGA plot. paga_show_transition Whether show transitions edges. velocity Specify calculated RNA velocity mode add velocity layer plot. velocity_plot_type Set velocity plot type. velocity_n_neighbors Set number neighbors used velocity plot. velocity_density Set density value used velocity plot. velocity_smooth Set smooth value used velocity plot. velocity_scale Set scale value used velocity plot. velocity_min_mass Set min_mass value used velocity plot. velocity_cutoff_perc Set cutoff_perc value used velocity plot. velocity_arrow_color Color arrows velocity plot. velocity_arrow_angle Angle arrows velocity plot. streamline_L Typical length streamline x y units streamline_minL Minimum length segments show. streamline_res Resolution parameter (higher numbers increases resolution). streamline_n Number points draw. streamline_width Size streamline. streamline_alpha Transparency streamline. streamline_color Color streamline. streamline_palette Color palette used streamline. streamline_palcolor Custom colors used streamline. streamline_bg_color Background color streamline. streamline_bg_stroke Border width streamline background. hex Whether chane plot type point hexagonal bin. hex.linewidth Border width hexagonal bins. hex.count Whether show cell counts hexagonal bin. hex.bins Number hexagonal bins. hex.binwidth Hexagonal bin width. raster Convert points raster format, default NULL automatically rasterizes plotting 100,000 cells raster.dpi Pixel resolution rasterized plots, passed geom_scattermore(). Default c(512, 512). aspect.ratio Aspect ratio panel. title text title. subtitle text subtitle plot displayed title. xlab x-axis label. ylab y-axis label. legend.position position legends (\"none\", \"left\", \"right\", \"bottom\", \"top\"). legend.direction Layout items legends (\"horizontal\" \"vertical\") theme_use Theme used. Can character string theme function. example, \"theme_blank\" ggplot2::theme_classic. theme_args arguments passed theme_use. combine Combine plots single patchwork object. FALSE, return list ggplot objects. nrow Number rows combined plot. ncol Number columns combined plot. byrow Logical value indicating plots arrange row (default) column. force Whether force drawing regardless maximum levels cell group greater 100. seed Random seed set reproducibility","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDimPlot.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Visualize cell groups on a 2-dimensional reduction plot — CellDimPlot","text":"single ggplot/patchwork object combine = TRUE; otherwise, list ggplot objects","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDimPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Visualize cell groups on a 2-dimensional reduction plot — CellDimPlot","text":"","code":"library(dplyr) #>  #> Attaching package: ‘dplyr’ #> The following object is masked from ‘package:AnnotationDbi’: #>  #>     select #> The following objects are masked from ‘package:IRanges’: #>  #>     collapse, desc, intersect, setdiff, slice, union #> The following objects are masked from ‘package:S4Vectors’: #>  #>     first, intersect, rename, setdiff, setequal, union #> The following object is masked from ‘package:Biobase’: #>  #>     combine #> The following objects are masked from ‘package:BiocGenerics’: #>  #>     combine, intersect, setdiff, union #> The following objects are masked from ‘package:stats’: #>  #>     filter, lag #> The following objects are masked from ‘package:base’: #>  #>     intersect, setdiff, setequal, union data(\"pancreas_sub\") CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\")  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", theme_use = \"theme_blank\", show_stat = FALSE)  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", theme_use = ggplot2::theme_classic, theme_args = list(base_size = 16))  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\") %>% panel_fix(height = 2, raster = TRUE, dpi = 30)   # Label and highlight cell points CellDimPlot(pancreas_sub,   group.by = \"SubCellType\", reduction = \"UMAP\", label = TRUE, label_insitu = TRUE,   cells.highlight = colnames(pancreas_sub)[pancreas_sub$SubCellType == \"Epsilon\"] )  CellDimPlot(pancreas_sub,   group.by = \"SubCellType\", split.by = \"Phase\", reduction = \"UMAP\", show_stat = FALSE,   cells.highlight = TRUE, theme_use = \"theme_blank\", legend.position = \"none\" )   # Add a density layer CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", label = TRUE, add_density = TRUE)  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", label = TRUE, add_density = TRUE, density_filled = TRUE) #> Warning: Removed 396 rows containing missing values (`geom_raster()`).   # Add statistical charts CellDimPlot(pancreas_sub, group.by = \"CellType\", reduction = \"UMAP\", stat.by = \"Phase\")  CellDimPlot(pancreas_sub, group.by = \"CellType\", reduction = \"UMAP\", stat.by = \"Phase\", stat_plot_type = \"ring\", stat_plot_label = TRUE, stat_plot_size = 0.15) #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`).  CellDimPlot(pancreas_sub, group.by = \"CellType\", reduction = \"UMAP\", stat.by = \"Phase\", stat_plot_type = \"bar\", stat_type = \"count\", stat_plot_position = \"dodge\")   # Chane the plot type from point to the hexagonal bin CellDimPlot(pancreas_sub, group.by = \"CellType\", reduction = \"UMAP\", hex = TRUE) #> Warning: Removed 5 rows containing missing values (`geom_hex()`).  CellDimPlot(pancreas_sub, group.by = \"CellType\", reduction = \"UMAP\", hex = TRUE, hex.bins = 20) #> Warning: Removed 4 rows containing missing values (`geom_hex()`).  CellDimPlot(pancreas_sub, group.by = \"CellType\", reduction = \"UMAP\", hex = TRUE, hex.count = FALSE) #> Warning: Removed 5 rows containing missing values (`geom_hex()`).   # Show neighbors graphs on the plot pancreas_sub <- Standard_SCP(pancreas_sub) #> [2023-09-01 05:05:58.344613] Start Standard_SCP #> [2023-09-01 05:05:58.344788] Checking srtList... ... #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-01 05:05:59.324212] Finished checking. #> [2023-09-01 05:05:59.324386] Perform ScaleData on the data... #> [2023-09-01 05:05:59.433965] Perform linear dimension reduction (pca) on the data... #> [2023-09-01 05:06:00.162208] Perform FindClusters (louvain) on the data... #> [2023-09-01 05:06:00.274367] Reorder clusters... #> [2023-09-01 05:06:00.483003] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-01 05:06:07.642434] Standard_SCP done #> Elapsed time: 9.3 secs  CellDimPlot(pancreas_sub, group.by = \"CellType\", reduction = \"UMAP\", graph = \"Standardpca_SNN\")  CellDimPlot(pancreas_sub, group.by = \"CellType\", reduction = \"UMAP\", graph = \"Standardpca_SNN\", edge_color = \"grey80\")   # Show lineages on the plot based on the pseudotime pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", show_plot = FALSE) FeatureDimPlot(pancreas_sub, features = paste0(\"Lineage\", 1:3), reduction = \"UMAP\")  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", lineages = paste0(\"Lineage\", 1:3)) #> Warning: Removed 8 rows containing missing values (`geom_path()`). #> Warning: Removed 8 rows containing missing values (`geom_path()`).  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", lineages = paste0(\"Lineage\", 1:3), lineages_whiskers = TRUE) #> Warning: Removed 8 rows containing missing values (`geom_segment()`). #> Warning: Removed 8 rows containing missing values (`geom_path()`). #> Warning: Removed 8 rows containing missing values (`geom_path()`).  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", lineages = paste0(\"Lineage\", 1:3), lineages_span = 0.1)   # Show PAGA results on the plot pancreas_sub <- RunPAGA(srt = pancreas_sub, group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\", return_seurat = TRUE) #> Warning: SCP_env python environment does not exist. Create it with the PrepareEnv function... #> + /usr/share/miniconda/bin/conda 'create' '--yes' '--name' 'SCP_env' 'python=3.8' '--quiet' '-c' 'conda-forge' #> Try to install numpy==1.21.6,numba==0.55.2,scikit-learn==1.1.2,pandas==1.3.5,python-igraph==0.10.2,matplotlib==3.6.3,palantir==1.0.1,scipy,versioned-hdf5,leidenalg,scanpy,scvelo ... #> ====================== SCP conda environment ====================== #> conda: /usr/share/miniconda/bin/conda #> environment: /usr/share/miniconda/envs/SCP_env #> ======================== SCP python config ======================== #> python:         /usr/share/miniconda/envs/SCP_env/bin/python3.8 #> libpython:      /usr/share/miniconda/envs/SCP_env/lib/libpython3.8.so #> pythonhome:     /usr/share/miniconda/envs/SCP_env:/usr/share/miniconda/envs/SCP_env #> version:        3.8.17 | packaged by conda-forge | (default, Jun 16 2023, 07:06:00)  [GCC 11.4.0] #> numpy:          /usr/share/miniconda/envs/SCP_env/lib/python3.8/site-packages/numpy #> numpy_version:  1.21.6 #>  #> NOTE: Python version was forced by use_python() function #> =================================================================== #> 'misc' slot is not converted. #> 'tools' slot is not converted. CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", paga = pancreas_sub@misc$paga)  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", paga = pancreas_sub@misc$paga, paga_type = \"connectivities_tree\")  CellDimPlot(pancreas_sub,   group.by = \"SubCellType\", reduction = \"UMAP\", pt.size = 5, pt.alpha = 0.2,   label = TRUE, label_repel = TRUE, label_insitu = TRUE, label_segment_color = \"transparent\",   paga = pancreas_sub@misc$paga, paga_edge_threshold = 0.1, paga_edge_color = \"black\", paga_edge_alpha = 1,   show_stat = FALSE, legend.position = \"none\", theme_use = \"theme_blank\" )   # Show RNA velocity results on the plot pancreas_sub <- RunSCVELO(srt = pancreas_sub, group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\", mode = \"stochastic\", return_seurat = TRUE) #> 'misc' slot is not converted. #> 'tools' slot is not converted. #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from variance_stochastic_ to variancestochastic_ #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from variance_velocity_ to variancevelocity_ CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", paga = pancreas_sub@misc$paga, paga_show_transition = TRUE)  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", pt.size = NA, velocity = \"stochastic\") #> Warning: Removed 1000 rows containing missing values (`geom_point()`). #> Warning: Removed 1000 rows containing missing values (`geom_point()`). #> Warning: Removed 4 rows containing missing values (`geom_segment()`).  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", pt.size = 5, pt.alpha = 0.2, velocity = \"stochastic\", velocity_plot_type = \"grid\") #> Warning: Removed 14 rows containing missing values (`geom_segment()`).  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", pt.size = 5, pt.alpha = 0.2, velocity = \"stochastic\", velocity_plot_type = \"grid\", velocity_scale = 1.5) #> Warning: Removed 14 rows containing missing values (`geom_segment()`).  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", pt.size = 5, pt.alpha = 0.2, velocity = \"stochastic\", velocity_plot_type = \"stream\")  CellDimPlot(pancreas_sub,   group.by = \"SubCellType\", reduction = \"UMAP\", pt.size = 5, pt.alpha = 0.2,   label = TRUE, label_insitu = TRUE,   velocity = \"stochastic\", velocity_plot_type = \"stream\", velocity_arrow_color = \"yellow\",   velocity_density = 2, velocity_smooth = 1, streamline_n = 20, streamline_color = \"black\",   show_stat = FALSE, legend.position = \"none\", theme_use = \"theme_blank\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDimPlot3D.html","id":null,"dir":"Reference","previous_headings":"","what":"3D-Dimensional reduction plot for cell classification visualization. — CellDimPlot3D","title":"3D-Dimensional reduction plot for cell classification visualization. — CellDimPlot3D","text":"Plotting cell points reduced 3D space coloring according groups cells.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDimPlot3D.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"3D-Dimensional reduction plot for cell classification visualization. — CellDimPlot3D","text":"","code":"CellDimPlot3D(   srt,   group.by,   reduction = NULL,   dims = c(1, 2, 3),   axis_labs = NULL,   palette = \"Paired\",   palcolor = NULL,   bg_color = \"grey80\",   pt.size = 1.5,   cells.highlight = NULL,   cols.highlight = \"black\",   shape.highlight = \"circle-open\",   sizes.highlight = 2,   lineages = NULL,   lineage_palette = \"Dark2\",   span = 0.75,   arrow_reverse = FALSE,   width = NULL,   height = NULL,   save = NULL,   force = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDimPlot3D.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"3D-Dimensional reduction plot for cell classification visualization. — CellDimPlot3D","text":"srt Seurat object. group.Name one meta.data columns group (color) cells (example, orig.ident). reduction dimensionality reduction use. specified, use reduction returned DefaultReduction. dims Dimensions plot, must two-length numeric vector specifying x- y-dimensions palette Name color palette name collected SCP. Default \"Paired\". palcolor Custom colors used create color palette. bg_color Color value background(NA) points. pt.size Point size. cells.highlight vector cell names highlight. cols.highlight Color used highlight cells. shape.highlight Shape cell highlight. See scattergl-marker-symbol sizes.highlight Size highlighted cell points. lineages Lineages/pseudotime add plot. specified, curves fitted using loess method. width Width pixels, defaults automatic sizing. height Height pixels, defaults automatic sizing. force Whether force drawing regardless maximum levels cell group greater 100.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDimPlot3D.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"3D-Dimensional reduction plot for cell classification visualization. — CellDimPlot3D","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- Standard_SCP(pancreas_sub) #> [2023-09-01 05:08:49.266072] Start Standard_SCP #> [2023-09-01 05:08:49.266266] Checking srtList... ... #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-01 05:08:50.335164] Finished checking. #> [2023-09-01 05:08:50.335369] Perform ScaleData on the data... #> [2023-09-01 05:08:50.488518] Perform linear dimension reduction (pca) on the data... #> [2023-09-01 05:08:51.208213] Perform FindClusters (louvain) on the data... #> [2023-09-01 05:08:51.321327] Reorder clusters... #> [2023-09-01 05:08:51.499216] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-01 05:08:58.444325] Standard_SCP done #> Elapsed time: 9.18 secs  CellDimPlot3D(pancreas_sub, group.by = \"SubCellType\", reduction = \"StandardpcaUMAP3D\")  {\"x\":{\"visdat\":{\"1f0916365d09\":[\"function () \",\"plotlyVisDat\"],\"1f094333d6d6\":[\"function () \",\"data\"]},\"cur_data\":\"1f094333d6d6\",\"attrs\":{\"1f094333d6d6\":{\"alpha_stroke\":1,\"sizes\":[10,100],\"spans\":[1,20],\"x\":[-5.6886261636056004,3.4359456366263332,-5.3666280442513523,3.7621866530142727,-5.872935169342905,-6.1831148797310886,2.2261005705557766,2.4181076353751125,3.398643142577261,4.2351423567496242,3.9708577460013332,2.1073290175162258,2.9162017172537746,3.7651683157645168,-5.3833645516671238,-5.1829670602120457,3.8295599287711086,1.5391832655631006,-5.4914945298470554,3.8172012633048,2.793688661452383,2.0342673128806057,3.9640418356619778,2.4987086123190823,3.6219369238577785,0.99059940039739014,-5.4327911073006687,4.2884904211722317,2.9429088896475735,4.0921779936514797,-5.3985317879952488,-2.0335786277092991,4.3770376509390774,4.0545412367545071,4.1104151076041164,3.2023011511527004,0.38131273448094727,-5.9616588288582859,2.6003462141714992,2.5475879973135891,3.3667727774344387,-5.5798309975899754,3.030913478728384,3.847624904509634,4.0858694380484524,3.9018045729361477,4.1920338934622707,-2.6897437506951389,4.0187827414236965,-4.206093185547739,3.6923328703604641,2.1945270365439358,3.9449616736136379,3.8722015684805813,2.2298027342520657,-4.7807520562447605,-2.6104623013772068,4.3668023413382473,3.7688914602957668,3.2212067908011379,3.7928448981009426,-0.54905425846949218,4.0713917082510891,-5.9773162537850437,-5.0173948937691746,3.3210197752676907,3.708708888884634,4.2753692930899563,-5.7239893609322605,1.6613651579581201,4.114228851195425,-1.8538612061776221,3.6917172735892239,4.8378187483511867,-4.9453610116280613,-0.83209495336189865,3.3578559225760403,-5.2147434884347019,-5.35839688122645,4.3068496054373684,4.8751646345816555,4.1845375364981594,4.1118885344229641,4.1085463827811184,4.2631312674246731,-5.3330701524056492,4.57820618807897,2.0549773043356838,3.2613741224966946,-5.9224170380868015,3.6750012701712551,-5.5498193436898289,2.2872663801871242,3.8686019247733059,3.7571336096487942,0.098260707255452884,3.8851114577017727,-5.919978969696909,-5.3041442567147312,4.1570006674490871,3.8757530516348782,3.4961906737051907,-6.1821497613228855,2.6465786761008205,-5.32397305310145,-2.8081093961037693,1.0950797861777246,2.9624165362082424,-5.6242302590645847,-5.2006577187813816,4.4909569090567532,-5.503446930054575,-5.8125513726510105,-4.4374476605691013,4.3201953238211575,2.3921674555502834,4.0995417898856106,-5.3745692902840672,-6.37182461560145,3.8413716620169582,2.2736622160635891,-5.2250226670540867,3.4526020353995266,-5.3119543725289402,2.6745559042654934,3.217281944151968,-6.477021091584116,-5.1964877778328953,3.3088890379630032,-6.1476582223214207,-5.6930960351265965,3.70802796542272,3.3083731001578274,-5.8063710862435398,4.3496514624319973,3.6548677748404446,3.8021856611929836,-5.7689450913704929,2.4691897696219387,-5.2924097710885105,-5.8526018792428074,-5.672373645905405,-5.6623295480050144,4.1558662718497219,-4.8945668870247898,3.2827888792715969,-5.5241459542550144,4.3123055762015285,3.2845560377798977,-1.624504380825907,-5.9470547372139988,3.8091121977530422,-5.6904171639718113,3.6057592695914211,-4.3515030080117283,-5.7528332406319675,3.2486630743704739,4.1241923636160793,2.8195403879843655,4.6197644537650051,3.9772955244742336,3.7943307226859035,2.5913709467612209,3.9710031813345852,3.8011189764700832,3.296350604888052,4.3865267103873196,3.8908783262930813,3.3374468153677883,-4.4706221753396092,3.2570606535635891,3.8364697760306301,4.2860552138052883,2.4976972407065334,-6.2177075082100925,4.953642970915884,3.0680788820944729,-5.4631804162301121,-1.3357294732369482,4.1042176550589504,4.063956863280386,3.5586420363150539,4.2045790022574367,-5.9334925347603855,-5.5754865342415867,-2.4768989020623264,-5.7706888848580418,-1.037919633988291,4.0581241911612453,2.435252553816885,2.3759418791495266,2.7511712378226223,3.2716742819510403,-6.1108916932381687,2.4087811773978176,4.309628135558218,4.9434748953543606,4.0921040838919582,-5.7354863816536961,4.7850753134451809,1.5081285303793848,3.1360293692313137,-0.72175849691405891,3.5372740095816555,2.3448590105734768,3.9707208937369289,2.9682651823721828,0.64330697714909912,3.1923199957571926,3.8910366362296047,3.86671937167272,-3.0602270299233494,-5.4041060143746433,-5.8222106629647312,-5.4442418748177586,-1.4495434695519507,-5.7719706231392918,4.0788031882010403,2.8299533194266262,3.8279835051260891,2.2619544333182278,-4.2111350232399998,-6.4100536042489109,4.3074675863943996,4.2125812834464016,3.278535491820425,4.8723198240958157,3.7191401785574856,0.23066902815923096,4.1810804671011867,2.9881712263785305,2.3492690390311184,-5.6914991074837742,4.1613327330313625,2.7096418207846584,1.9107128447256982,4.1415544813834133,3.9326931303702297,-6.0249489480294285,-5.4014824563302097,4.0656186407767239,3.9642750090323391,0.70927036463841797,4.6895667380057278,4.2933746641837063,-5.2602528268136082,4.1233750647269192,2.7530199354849758,-5.8193434411324558,-6.1109894448556004,-1.0728792184628546,-5.458196514252573,3.6278320616446438,-5.9495462113656101,3.2712379759512844,2.9602612322531643,2.2454253500662746,-5.9845112496651707,-3.1521202260293064,3.6474958723746242,-6.0393150979317722,-5.7518080407418308,-5.7148393327035008,-2.0283108884133396,3.2670952147208157,-5.9730290108956394,-6.0209578210152683,2.3493365114890041,-5.3508690530098972,2.1166299647055569,-5.8466519051827488,-5.1293190652169285,4.5781961744986477,-5.8394626313485203,-6.0309356385506687,4.4323755568228664,-5.3975976640023289,3.7564607924185696,-5.6858676606453953,-5.7005304032601414,2.5634144610129299,4.5063401526175442,4.1718541449271145,4.540925628539175,-4.5778638058938084,-4.364221208695322,3.5970946615897121,2.1566151446066799,-6.0058206254281101,3.7745324438773098,3.1083837813101711,1.3716536825858057,-5.9610012704171238,3.0642060106955471,-5.7542136842049656,3.4612490004263821,3.6092368429861965,-5.5800021821297703,3.1013876265250149,-6.3277510339058933,2.3361758059225979,2.6442028349600735,3.6401864355765285,-5.8642514878548679,-6.03074156582728,4.1436320608817043,-5.7518442803658543,3.8260375326834621,1.272380716200918,-5.3374651604928074,-5.1970995599068699,3.797756797667593,3.2268775767050686,-5.1002482110299168,1.0198576515875757,0.31130755602940918,0.48062289416417481,4.2756167715750637,-5.9069336587227879,3.9822994536124172,2.7996984785757961,3.729941970702261,4.0360781019888821,4.5250836676321926,-5.6807621651925144,-5.7964295083321629,-6.2621782952584324,4.3417240446768703,3.8146392172537746,-2.3665174180306492,2.9567765063010158,3.9070087736807766,-5.3787101441659031,4.0860859221182766,-5.9691227608956394,3.6438437765799465,3.4250918692313137,-4.2681220704354343,3.875729209776968,-5.8648399049080906,-5.5565107995308933,3.5692497557364407,3.9789401358328762,-5.6811984711922703,4.2586289709769192,1.7590841120444238,3.5297552412711086,2.3529039686881008,-6.1315530473031101,3.7280699080191555,-5.3548949891366062,3.2782713240347805,-6.2212966614998875,3.5055633848868313,-5.4770072633065281,-0.9730303221978247,3.6990600889883938,3.7497507399283352,-5.3982642823494968,-5.8888567620553074,3.8859354323111477,3.5195432966910305,-3.8963805371560154,1.8053032225333154,1.4098991221152246,3.5934301680289211,2.5643507307730617,2.7622026270590725,3.8044158285818996,-5.9591859513558445,4.1719976729117336,3.64369691073522,-5.4930647546090183,-5.7994507485665379,-5.3392757111825047,3.3259717291556301,-5.4468868905343113,-6.3571780854500828,3.2842856711111965,2.3560041254721584,-5.2326768571175633,3.7973028486929836,3.8533784216605129,-6.110382907990366,-5.2379931145943699,4.0392576521597805,-5.8231190377511082,1.1200755900107324,4.1074754065237942,2.8175944155417385,4.5524135893546047,-5.6430138284005222,-0.59149248242750763,-3.3063419991768894,-0.87759719878807663,-0.5074914628304541,4.0615278547964992,4.4845186537466946,-6.1248058015145359,2.3313630884848537,-6.0432237321175633,4.2014442747794094,3.8849631613455715,-3.2771187955178318,4.2126609152518215,3.7082096403799953,4.0735517805777492,4.3654242819510403,1.9640537565909326,2.6016289061270657,3.8542548483572903,3.0065325564108791,4.0419470137320461,4.1198397940360012,-6.0586279565133152,-5.1990746194161472,4.7570358580313625,3.9814606970511379,-0.085499518517404782,2.8601588076315823,2.3237930601798,3.5537105864249172,4.019373065825552,3.6876221960745754,-5.7977875405587254,-5.6799820596016941,4.0421482390128078,-5.2353085213936863,4.1839581793509426,3.8697253531180325,-5.2171081239022312,3.1247845953665676,-5.2775639230050144,4.3466187781058254,4.229857570525259,-5.8318871194161472,-4.0895787411965427,3.4561802214346828,-0.86872646302357315,-5.2169026070870457,-5.7484263116158543,2.4695133036337795,-5.0677164727486668,-5.508423679474741,-5.7000273400582371,-2.384531849030405,1.4761222666464746,3.864562160369009,-3.9497762852944431,4.8315531080923977,3.0862537687979641,-5.9344409638680515,-3.4777868920601902,0.21113300978764893,4.840610629912466,4.8818041151724758,-6.0327304536141453,4.0719081228934231,2.6357158487997951,4.2293235129080715,3.840809947844595,3.3152538603506985,3.6268993681631985,3.0060921972952785,4.0086442297659817,-5.1835802727974949,2.4848958319388332,-6.2344092065133152,-5.5369199448861179,-6.3334220582284031,-6.2132896119393406,-5.066432827118784,-1.4480543667115271,3.3920031851492825,4.4146901434622707,-5.7791112595833836,3.1617196863852444,-3.8526743584908543,-5.9049895936287937,3.5681854551993313,3.6677147215567532,-5.6211966210640965,3.6967369383536282,4.1724149054251614,3.472437030669302,-4.7719811135567722,3.929534084197134,2.6585174864493313,2.4152344530783596,-5.0892194443978367,3.7046052283011379,3.3906790083609524,4.7917453116141262,2.8252738779745998,4.0964404410086575,3.8458415335379543,-6.1054814988411961,1.3883909052573145,2.5578230684958401,4.1579734152518215,3.1511603659354153,-5.3443311387337742,-3.804554575089365,3.9519139593802395,-5.7158354455269871,3.0774141615591946,3.7683998411856594,-5.7632640534676609,3.9628754919730129,-5.5107792550362644,3.9301687544547024,4.6595903700552883,4.1110025709830227,-5.9925340348519383,-4.9079335862435398,-6.0116313630379734,4.0381800001822414,-5.4791096383370457,4.6404048269949856,-5.9147142106331883,3.2200423544608059,4.5811253851614895,2.5719155138693752,-5.3072446519173679,3.4785252875052395,4.7884126967154446,4.8735128706656399,0.93153310477361084,-5.5963596040047703,1.4240881270132959,4.1605702704153957,4.401481277342886,4.4116336172781887,2.2761439150534573,-5.4898661309517918,-5.9866064721383152,0.052783197756856692,4.2244850462637844,3.0144556826315823,-5.5977681809701023,-6.0059684449471531,-5.1179498368538914,-5.9642866784371433,4.755299693938345,-5.2662986451424656,-5.939667575959116,2.5774887865744533,3.598171836730093,3.0617722338400783,-5.761318081025034,3.9120718306265774,2.3118149107657375,-0.94558409691229461,4.7828432387076321,-5.7654126817025242,0.027312404509633792,4.2756439512930813,1.9600929087363184,-1.161150538329035,2.0367411440573635,-5.0087841683663425,3.975620395537466,3.1880821055136623,2.7272015875540676,4.3192216223441067,3.8340650862418117,2.8559435671530666,3.5511461561881008,-1.1332349711693823,-5.4355901414193211,-3.4096795254983006,2.4791776007376614,4.6648203200064602,4.1341716116629543,2.2596844500266018,-2.2627447778023777,-5.6280082398690281,3.6935759848318996,0.045447177287191165,-4.5587662392891941,4.2700878447256985,3.568332797881216,0.053109652396291507,-5.3360952073372898,2.4490696257315578,4.8878732985220852,-5.5685132676400242,-6.0200279885567722,2.4781998461447658,-5.3996018105782566,3.8232137030325832,2.8570469683371487,3.0393348997794094,-5.3638433152474461,-4.6927961045540867,-5.9462650948800144,-6.0231627160347996,-5.7078756028451023,4.3533126181326809,3.3287721937857571,-5.3460568124093113,4.0853062933646145,3.2402073210440578,-6.1529258424080906,3.6316906279288235,3.9792114561758938,-5.3954003983773289,-5.3247002297677097,4.1878510779105129,3.7272607153616848,-1.2834967309273779,-4.200078838471323,4.2237268751822414,3.784641391631216,3.8982225722037258,-3.4720481568612156,3.3765975302420559,-5.1755126649178562,4.7304683989249172,4.2413960760794582,-5.0755652123726902,-5.8730138474740086,0.63916409670934082,-5.2855743104256687,-5.9280646973885593,-5.8428872758187351,3.1702209776602688,-1.5372922354973853,3.2740551298819485,3.9582825964652004,-5.8968070679940281,-5.4941357308663425,3.8447271650992336,-5.9965819054879246,3.6187459295950832,-5.6920345956124363,4.2110291784964504,-1.2227924102582037,-4.1958619290627537,3.6590329474173489,4.1788326567374172,3.7835108107291164,4.2851477926932278,-4.472365968827158,2.32739413439855,3.7456418341360989,-5.5271786385811863,-1.2761777573861182,2.6533113783560696,4.0993858641348782,3.3688551253043117,3.51955140292272,0.9623799389563501,-6.0224155122078953,-4.9960721665658054,-4.1175070935524998,3.8025161093436184,4.1205469435416164,-5.2678822213448582,-5.5907281571663914,-5.6040223771370945,3.7243415182791653,3.85278475939855,-5.5447462731637058,-5.2768815690316258,-1.0130716794766486,3.7916637724600735,-1.6983771258629858,2.3243960207663479,-5.9584807091988621,-5.6282089883126316,-0.42723717630282043,-5.5163015061654148,3.1376510924063625,-5.6191514664925633,-5.7415689164437351,4.206941253539175,-5.2534431153573093,3.9675642317496242,-6.0725492173470554,1.9586480921469629,4.1869531935416164,-6.2223313981331883,3.8577367132864895,3.9003025358878078,-5.4860662156380711,-5.8056019479073582,3.5305005377493801,-6.1973417931832371,-5.3344272309578953,-5.4571069413460789,3.975402004119009,3.6755405729971828,3.9099475210867825,4.2384554213248196,0.26568508803471924,-5.1797989541329441,3.2572733229361477,4.3663502997122707,-5.3959749871529636,-5.925296180848032,-5.6979926759041843,2.9078658884726467,3.1994730299673977,-5.936590068940073,4.2089210814200344,-6.0896280938424168,3.9946595495902004,0.054381198283284915,3.6767584150992336,3.7615333861075344,4.8140150374136867,-6.4130009347237644,-5.9415091210640965,2.0899595087729397,-5.3260720902718601,3.7020202940665188,-1.6567391091622412,-5.5412248307503758,-5.6700743371285496,-5.2964433366097508,-5.8124340707100925,-5.5755661660470066,2.9057635134421291,3.9530860251151028,1.3539816206656397,4.2713748282156887,3.7435547178946438,-5.8213099175728855,2.9427110022269192,4.6808501547537746,3.6478635138235989,4.4028011625967922,4.4463373488150539,-6.1728409463204441,-5.7990935975350437,-5.689214580658823,-5.6546972924508152,1.1747036045752466,-5.5775760346688328,-5.4664224320687351,4.2264033621512356,-5.6370757752694187,4.0269590681754055,-5.3465093308724461,3.6384803122244778,3.0052238768301907,-5.3552411729134617,-6.0912598305977879,3.7730208700858059,3.4275070494376125,3.6208459204398098,-5.9925941163338718,-5.4850720101632175,-5.6369341546334324,-4.8173636132515965,3.9032551115714016,-5.7200759583748875,2.9863430327139797,4.0981928175650539,3.4018317526541653,4.6671968764029446,3.8511496847830715,1.6804815596304834,3.8968588179312649,3.834314472075552,3.5979048079214992,4.4432860678397121,4.7364717787466946,-5.3801878625191746,2.2328699892722073,-5.7004131013192234,2.710779315825552,3.4951072996817532,3.1732744044028225,-5.6688474351204929,4.6734758681021633,3.1907359427176418,-2.8448234730996189,3.9047581022940578,4.7213956183157864,3.4439202612601223,3.2129169768057766,-5.8644889527596531,3.3282324141226711,3.5844150847159328,4.6877924269400539,-5.7232388192452488,-5.2029036217965183,-5.2021268540658054,-5.2785514527596531,3.6263157194815578,2.479031211730093,3.5073601072989407,-5.2538922959603367,-3.0699297124184666,-6.25950133145228,-0.72990534544363617,3.7311569517813625,-5.8988321954049168,-5.7185310059823093,-5.4856384927071629,-5.2154592210091648,1.5948706930838525,-5.2093313866890965,-5.3409093552865086,-6.0478628808297215,3.8831917113028469,-6.3964275056160984,3.9812675780020657,4.1653372114859524,2.3977209395132961,2.9845653837881985,4.4032703703604641,3.4935313528738918,2.7370964354239407,3.7417784994803371,-5.8190969163216648,4.1854006117545071,3.6822696989737453,-4.2920180493630467,-5.8522084885872898,3.5731941527090969,1.7521566218100488,-5.8279870682992039,2.7569011515341701,4.248017913695425,4.098847991820425,-5.4763725930489597,4.1806789702139797,4.0674892729483547,4.1557580298148098,2.5360230272971096,-5.1990946465767918,3.1759957140646877,3.3869148558340969,4.0969482725821438,3.3270999258719387,-6.1945279771126804,-5.7646449738778172,-5.7636789017952976,-5.1860245400704441,4.5106087988577785,4.19380677401647,1.4348169630728662,3.0483075445853176,1.3041571444235742,3.0737329786978664,-5.1791127854622898,1.1023757523261011,4.0267154043875637,-6.0973647767342625,3.6752859419547024,3.9452782934866848,1.7036799257956445,-5.7025231057442722,2.6535900896750393,0.59107614218816162,2.3053306406699123,3.3949061697684231,-4.742568605545908,-5.3095802003182468,4.11096347033605,3.2922116583548489,-5.3414553338326511,-5.8058999711312351,3.946593410369009,-5.8377684289254246,2.3679226702414455,2.9427760904990139,1.3651951616965234,-2.5972028905190525,4.2035375899039211,3.466514236327261,-5.7322076493538914,-2.0195505553521214,-5.7662848168648777,-5.9279640847481785,4.3577228850089016,4.2267390555106106,-5.7661789590157566,3.7150350874625149,-5.8282102280892429,4.1812874144278469,-3.0853332215584812,-5.0930021935738621,-4.6041163140572605,-5.9298237496651707,4.4462629622183742,-1.1161883407868445,2.9753459757529201,-1.4426591330803931,-5.3608812028206883,3.1076239412985744,-5.6868876153267918,-5.4807642632760105,-0.39783977806940674,3.6715747183524075,-6.0093773537911472,2.7764593428336086,-5.3116773301400242,4.1185156172476711,2.7369030779562893,-5.5967267686165867,4.0319467848502102,4.0021592444144192,4.0022865599356594,-5.8418825799264011,1.6526974505148828,1.1953849858008325,2.820102817412466,4.2609082525931301,4.1749731367789211,4.3862692183218899,4.3566633528433742,-2.4362351828850803,3.3300324743948879,4.012112266417593,-5.6537359887398777,-2.8257852727212009,3.0882600611411037,0.37636244952306153,-0.12059801161661743,-4.0914295846261082,-4.4639335805214939,-5.920357101563364,-5.0288318330086765,-5.9399326974190769,-6.493007534150034,3.1518148249350491,4.3253170317374172,3.7653600043021145,3.1259836024008694,-2.6130442553795872,3.4876762694083157,-5.858338230255991,-5.0883473092354832,3.8392578428946438,-3.0593122178353367,-6.0411423379220066,-5.8218725854195652,0.73053050696477295,3.9582296675406399,-3.4760218793191013,1.3216131991110742,3.2579966849051418,3.1491898363791408,-6.5008796387948093,3.4683419531546535,3.6988960570059719,4.2128936117850246,4.2010084456168117,3.8220959967337551,-5.3025659257210789,-4.2893997365273533,-6.0911062890328465,2.067372447844595,-5.4109014207161961,4.6016327208243313,4.5009285277090969,-4.0317429238595066,-5.2523106271065769,4.2790666884146633,-5.1373242074288425,3.7997213667593899,4.8305007284842434,3.3830891913138332,3.4761420553885403,0.63557816207036377,-5.7402013474740086,3.9067779844962063,4.2600380247794094,-5.9681919747628269,3.1113175219260158,3.7827926939688625,2.5168422526083889,-4.990298622254282,3.9831935232840481,4.1178962057791653,-5.845271938446909,-5.4591568642891941,-6.054481857422739,2.3576153582297268,3.7698017424307766,3.6942468947134914,3.8944641417227688,4.6226311987601223,2.5652514761649075,-5.1815284425057468,-5.5244868928231297,4.1578036612235012,4.2988306349478664,-5.4960130387581883,-5.8595412904061375,3.6086574858389797,4.1299988096915188,-2.9065550500191746,-6.0575002366341648,-5.3156188660897312,4.0152269667349758],\"y\":[-2.4239424188975245,4.5609880963917817,-1.3609242161158472,-1.4919820149783045,-1.060248257720843,-0.0031989534739405023,5.2746326009389009,-1.9571644981745631,-2.0396699627283961,0.50371637741290032,2.8119253198262304,5.4130541364308442,5.4319583455678071,-4.1813345869425689,0.82002225319109856,-3.361192556226626,-3.4751935919169337,6.2332655469533051,-1.9023222645167261,-1.1458798964861781,0.070623842870816578,-2.1729515512827784,-1.3012585361842066,-2.3668752630595118,4.1861511746998872,6.1666990796681489,-0.07431981166638435,-5.0962627848032866,-2.4883317669276148,-2.0352490862254053,0.68722930351458489,5.3556334058400239,0.84017362991534172,0.15182634988985955,-2.3230533321741968,-1.8098151405695826,6.3171145002003755,-1.5227970202807337,-1.9278317411784083,-2.0975117405299097,-1.8467319925669581,-0.24890917738713325,5.2868897000905122,2.8192738572712988,-2.0351397713068873,0.27459999719820916,0.21939983764849602,4.8468886891957368,-1.251596780622378,3.2370296994801611,4.0774675885792817,-2.157822104299441,-3.4739092310313135,-1.0692414363268763,-1.9240455349329859,2.4415027181264013,4.9130069295521821,1.6697985211964697,-3.5910936315897852,-1.6339909156206995,-0.10385725101269783,6.13976636329852,-0.1988587697390467,-0.72892709089256824,1.9006220380421728,-1.7581078728083521,-4.1603685339335357,-3.7919968088511378,-2.6646362264994532,6.2563449422474946,-1.8575770576838404,5.4354602376576509,-3.8577817400339991,-0.86170599063672126,-1.6714509447459132,6.1034232656117524,-1.7020700295809656,-3.5910142382029444,-0.90599982639588417,-3.278905244672671,0.34204461971484124,-2.493720861280337,-2.9189573248270899,2.5575565377827734,2.1375414411183447,-2.3076520880106837,0.85956921974383294,5.5023647824879731,0.1226136366482824,0.90666511455737053,-4.3640995939616118,0.78360476890765129,-2.229204030836001,-3.5964950044993311,-2.7376447637919337,5.8229342977162446,-1.4376525600794703,-0.0071892460230738031,1.0902816335316747,-3.723750682676211,-1.545060189569369,1.8917509595509618,0.10975864330492913,3.767842916643247,1.0953157226201147,4.7440544644948091,6.2671872655507173,5.0375486890431489,-1.4930325468424708,-1.6865774711016566,1.3132356683369726,-2.5282889326456934,0.2322489897366613,3.053478149568662,-3.6445847471598536,-2.0364881475809962,2.1979185620900243,0.4737764875050634,0.34391608635149895,3.1931356469746679,4.6984931508656587,-2.3206523378733546,-1.3709589560870081,-3.3848780115488917,0.10801014105044304,-1.8686189373377711,-0.27822473844327034,1.7524751702900976,-2.2824387272242457,0.040917066728696216,-1.8718527277354151,3.5393640081044286,-2.5310460050944239,-0.79395885964669288,-3.6142457445506007,1.3428472558613866,2.1670099774952978,-1.0547011216524989,0.053220657503232349,-2.5049843510035426,-0.078191729390993725,0.58263471523486077,-0.33809483250416816,-3.0026050527933985,2.1802228967305273,4.2852317372914399,0.075537113344296802,-0.45325485070981086,-2.1088388880137354,5.6170193235035981,-0.0042112191561609613,3.6995402852650732,1.3101433793660253,3.7294951955433935,3.2245275060292333,-2.5156374891642481,0.19655898014269768,2.7750836888905615,3.9751702825184911,-1.3423747738245875,-0.79763170530833305,-3.783922048414126,5.7760783712025727,0.4742647687550634,-3.9147642572764307,-1.4897038062456995,0.72149756351672112,-4.6768530329111968,3.9998981038685888,2.9275032559987157,3.9596087018605322,-1.4805615266207606,-2.3055076321009547,5.709130434190854,-0.66058179190196098,-0.68876549241878093,-2.0615666826609522,-1.4961245973948389,5.8569709340687837,-5.3729494531992827,-4.7047046144846831,-4.5010617693308745,-3.0754037817362696,-2.2853716333750635,-2.3944978435877711,5.0284039060231294,-0.52450566192902626,5.862429765855893,-3.6829043348673731,5.7198440114613618,5.8193899671193208,5.4614092389699067,-1.839825483167544,-0.37305695017613472,-2.2612950523737818,-1.7410278042200953,-0.47179021140374244,-2.8548248728159815,0.93267014423571526,-0.28739908536709846,6.1978861371632661,-2.2965886314753443,6.0330149213429536,-1.8899432142619044,-1.9679584225062281,-4.8555706461314116,3.2717842141743749,6.2791606465931977,-2.1638055761698634,-1.2251872738245875,-1.6241277178172022,4.5317422429677094,-2.5921070297602564,-1.6452137549761683,-2.5512525757197291,5.8063866178151216,-2.8423815687540919,-4.3189624269846831,5.2906090299244966,-1.2093105038050562,-2.2468459328059107,3.2060834447499365,-0.22580784758366645,-5.0903199633006011,-4.9740699251536284,-1.5329989512804896,0.3640733043309301,-1.9681979139689356,6.0053149739857759,-4.7634843309763824,-2.3324273546580225,4.7507134954091157,-2.1058399399165064,-3.3286565264109522,-2.1642199476603419,6.1403819600697602,-3.1477533300761134,-2.4249170740488917,0.032660750543698658,-1.5147729237917811,-1.7047620733622462,-1.7407974918726832,5.9290868322011079,0.73337867656908928,2.081605819856748,-2.7303775270823389,-3.3545483072642237,3.7827760259266943,-2.4628283699396998,-0.18605199655331672,5.7512680570241059,-0.62760734757222236,-2.2259094437006861,0.66038360992632805,-1.7920636852625758,-1.9738279302958399,-1.9679617603663355,-0.75979690825380386,4.4477821866627778,3.7065235654469579,-0.47790557345189155,0.37111750045977532,-1.2477879842165858,5.3866788426991548,4.6404534856434907,-2.0194360931757838,0.24557277361117302,-2.1719521005991846,-2.534595580900088,6.0664698163624848,-0.97541529139317573,-2.9255004843119532,1.4162239114399999,1.2918585816975683,-1.7989293058756739,1.5153717080708593,-2.089099975431338,-5.2532542665842925,-0.6945296322349459,-0.55396698614396156,-2.0415210445765406,1.6229487935658544,-0.38922444185055793,-1.5070934613589198,2.724437622224912,3.1053611318226904,0.36135938564501702,5.0215751210805024,1.0733109990712255,-1.1420734246615321,4.5590206662770356,5.6490041295643891,0.79236331382952629,5.1439806501027192,0.90493681827746331,3.5825807134266943,-3.3516133745554835,0.96703484455309807,0.013699082529172291,0.43656936088763176,0.18593749204836785,-2.287687393033877,-1.1840383132342249,-1.854727359617129,-1.2767833789233118,0.62264111438952385,-2.3413816412333399,-1.5632042010668665,5.9288293401356782,-2.3667430599574,-2.6569406708125025,-4.9233997782114898,-2.4469978531245142,-3.4312649687174708,6.3557030240651216,6.2044831792470063,6.2774120847340669,-4.958230348432437,0.73083033958636223,-4.9192923029307281,-2.1936223228815943,-1.0237523933295161,-1.9902027567271143,1.2441510240193456,-2.3397497852686793,-2.555000158155337,-0.081854196393862377,-3.352185102308169,-1.7697127779368311,5.1079546491261567,-1.8375985344294459,-3.7284103353861719,-2.6187299211863428,-2.6839514692667872,-2.3111585100535303,-1.5935382564906031,-1.7216208895090968,3.1498731652852148,-2.1834809502009302,-0.81959226926602424,0.29429247776232659,-4.2564638574961577,-4.0790687521342193,-2.2445436437968165,0.86365702549181878,6.2456165830250825,3.1487597505208105,5.6828376332875337,-0.31161385973729194,-3.3768814524058253,-2.1371415575388819,-2.4847284277323634,-0.63256122370995582,4.585175184404477,-0.86869067152775825,5.7339288274403657,-4.7821448763255034,-1.6008018573168665,-1.3599250038508326,-0.89102895756997169,2.0458225289937109,-3.0228110273722559,3.6446587125416845,6.1587616483326997,6.3113709966298188,-0.93845525583066047,0.27336951891146599,-2.2699178179148585,-0.8309136574510485,-0.5421614368800074,1.9949585477467626,-1.3848834355715662,-1.2548774202708155,-0.303394796455279,-1.8503794391993433,-1.6082303841952235,1.0362267772313207,-0.25962552627362312,-2.2054419239405543,0.15909203687869011,-2.3545452078226954,-3.8162888010386378,-1.7407530268076807,0.15898248354159294,-2.9843977411631495,-4.7334559877756988,0.4603710452672094,6.5101992169972505,-0.99471473892964424,5.3173429051991548,0.010975567495450367,1.3160141984578222,6.0811940709706391,4.2911726514454926,5.8067003766652192,6.1516915837880219,-3.8477219065073878,-0.56223127445019783,-0.60679900100268425,0.26178195873461663,0.77471056381426751,0.02344634929858147,-2.0636211355570704,4.3087302724476899,2.5385943929310888,-3.7607172449473292,-2.8300114591959864,1.6987279931660741,6.1059791127797212,-2.367948623502627,-1.3026901801470667,-1.582632096612826,-2.562305541837588,-3.0956462343577296,-0.49307361444272102,-2.3902754505518824,0.096637038385495533,-1.002995671832934,6.155241159593686,-2.3592964132670313,-2.2031477411631495,0.19480547109805046,-1.5894029458407313,-3.7234464605692774,-0.57716794511117042,1.0069606582280248,-5.3106635530833159,-2.7188754995707423,-0.67533974921144546,-1.5247779806498438,-3.3243452032450587,3.8057982007618993,1.7180282155629247,1.8951307813283056,0.38730898300372063,0.4815432111378759,3.4106136838551611,3.9369875470753759,5.7471791783925141,-1.6154571493510157,-2.5282175262812525,5.5046383420582856,-2.2374744137171656,-0.74580705364979805,0.63541057506762444,5.0971418897267426,6.0172392408009614,-1.1334699412230402,3.5790030042286962,-0.63466766675747932,-1.9919628818873316,-1.4715509136561304,4.1195961515065278,6.0665365735646333,-0.15717074474133552,-0.83351120551861824,-0.041548641527071606,-3.4789639433268458,0.08589747348986565,2.8287989179249853,-4.2947400530222808,-1.6391935070399195,0.73227992454729973,-1.9409398754481226,-1.9238525350932032,-3.2999371012095362,-2.4444392641428858,0.584676412736997,-0.47898596724309028,-0.063820513093844067,-0.85163870652951301,1.7567495385762304,5.9222551862355317,-1.4317240436915308,-4.290679307783023,-1.6689185818079859,-1.9907366951350123,3.6644283811207861,-1.208278807008639,-3.2294615229014307,-3.53181395133771,0.16766300598345696,-3.8767207582835108,-1.6996605714205653,-3.1247032602671534,2.3767744580861181,-5.1896551569346343,-2.085426183545962,0.15554716983996331,-3.1717403849009425,2.5828756372090429,-1.5759708603266627,0.50336995521746575,-0.00096622308529914491,-3.531302066648379,2.3629836122151464,-0.51668662031926216,6.5097676793690766,0.10245349804125725,2.4005526582356542,5.1191674749013032,-2.2253373583201319,3.7342983762379736,-4.8967646082285796,-2.1765366514567286,5.1614891568776216,-3.658861013257876,1.1124904433842748,-1.3171585520152003,-2.0713031013850123,-1.6945940574053675,0.51691594520770012,-3.4552353342417628,0.68430438438616692,2.1503387967702001,-0.44561726053990425,-1.3538924773577601,-1.7000657041911036,0.19344046512804924,-0.25588000019825996,4.1527763883229341,-0.056277902925387036,-2.3305705507639796,-2.6961437185648829,-1.2722177823428065,-0.1896642764452845,-0.37577939232625068,6.5140706578847016,-2.6139056404475123,6.2066051046010102,-4.4964416941050445,1.5446392575856298,0.22592374483309685,5.8738400022145356,-2.5415188988093287,-0.46387927433289589,6.3667241613026704,-5.0694449861887847,-2.1448111256007105,0.58100822368822991,-0.52378004988469185,1.5315343419667333,0.30252352157793938,-0.27326551278866829,-3.302570434415713,-0.26172504028119148,5.6343637982960786,-3.9731949289683253,4.9236470739003266,-0.017684849107638012,-5.1671312769297515,-2.1053601225260645,5.7960950414296235,-0.75854998281039299,-0.19752535423077644,5.9886652509327973,-3.0913077314738184,5.5834752599354829,5.8752571622487153,5.6014906446095551,-1.6426285227183253,2.61355319420062,-2.5852859934214503,0.032042411958798755,0.14958980480395256,-5.4139483888987456,-2.1020459850672633,0.086386946832761158,5.8410164395924653,-1.2037187536600977,4.2020098249074067,-2.2779335697535426,1.0987122336979955,-3.459409805143252,-2.2577160318735987,5.1850587407704438,-2.6689614971522242,-3.7811191995982081,6.1284867803212251,2.7336803952809423,0.34952881733141838,-3.34799465736188,6.1840998212452973,-0.59392323544062675,-2.1494937857035548,-0.99437400897778572,-2.485010357702151,-0.55357498129643501,4.2672535459157075,-1.966421695554629,-1.3056107481364161,-2.0817610939387232,-1.8661416490916163,1.1090861837025732,2.5411118547078222,-0.28003990849293769,0.32085719505511223,-1.5454110821131617,-2.0634958465937525,4.3861509839650239,-1.7415537556055933,2.8075331727620214,-1.8260016163233668,0.1392575780507177,-2.8897417505625635,-3.4982336481455714,-1.4735290130022913,-2.5246780832652003,-4.7272222956065093,-5.0906585176829253,5.9258219281788911,3.3085028211232275,-3.1412273367289454,-1.4506988843325526,-1.7402947862986475,4.1155492345448579,-1.8608510216120631,-2.1143266876582056,-0.94771781762875618,0.50713565746508538,0.45906033912859856,-0.46734926303662361,6.0061265508290376,-3.1791225393656641,-1.5013940056208521,-0.26577314933575691,-1.7897350510004908,5.63598218361102,-2.0897912701014429,-4.5101326425913726,-1.6685838421229273,0.97515573898516594,-2.7128883322123438,-0.32605084975995124,-3.5607670267466456,1.3025166074391454,-3.6134074648264796,5.893799451982602,3.2949859181996435,-4.6001072843912993,-3.0487497766856104,-4.0350559671763335,-4.5549701174143706,2.9335071126576513,-2.3022573908213526,-1.7962529381159693,0.5133655349370092,5.6860047856923188,5.159546522295102,-4.9965170343760406,-2.1413491686228663,-0.82106331934966148,6.3522821942921723,-0.51868814429081977,-1.7872458418253809,3.3782621900197118,-1.169714810455218,-2.4311220367792994,1.5110184232350439,-1.2300030310992152,-1.2066546698454768,-1.225744934881106,-3.5523766001109034,-2.6143294294718653,-2.6177423914317042,6.0290595571156587,-0.50202726026810707,5.5554124395009126,-2.0825966318491846,0.82027926841937004,-1.0108128507975489,5.9120933095570649,-0.79877247860468925,5.0785557309743012,-0.31409719785489143,-1.3025124987009913,-4.4558144529704009,-2.3140825947169215,-4.6657434423808013,0.41521671215258538,5.1376625577565278,-3.4929128607157618,0.48376431862078606,0.29471722046099602,3.2478906194325536,-2.2987181862238795,-1.0797995050791651,4.2867161313649262,0.0086186210270970953,-1.9105398376826197,0.51899733940325676,3.5210286656972021,-4.0809699018839751,3.3192664662953466,0.70587757030688225,6.1707736531849946,-1.5136269052866846,4.7605287114735688,1.2189218083973974,0.45066287914477288,-0.091579588258638989,-1.3130245526675135,-2.0013136585596949,4.0836221257802094,1.0017936507817358,-2.5277898033503443,0.11476179758273064,-3.4343720396403223,6.1084958593007173,3.0255440751668066,-4.9682110269907866,-0.095709474885836254,-0.18845281204022468,-1.0779137929324061,-2.2594849785212427,-2.3959475477579981,3.6926156560536474,5.6331044713612641,-2.3972980697993189,-2.1494072397593409,-1.8019695003870875,-2.0892197807673365,-2.9782463034037501,-2.4243255575541407,3.3101173917409032,6.5054933110829438,-2.6928626020792872,-1.9548871239069849,-1.0323364158514887,3.8065759221669286,0.62841287056170403,-3.9875546415690333,-1.8541104515437037,0.92590418258868157,0.30194666782580315,-1.5018984397295863,0.4845412055607885,-0.17712667783536018,6.4476925412770356,-0.47259341379441322,-2.5780229290369898,-3.4406310041788966,-1.6972892006281763,-1.2190810163859278,0.82663360038958489,-2.8337613066080958,-1.8718189915064722,-2.4918985088709742,-0.4765626957062632,3.815107492601499,-3.0737915953043848,-4.5077687223795806,-0.55044420262612404,1.6344713250752538,0.59758129516802727,2.3286994973774999,-1.5176588614825159,1.3997396508809179,4.3693019429799165,-3.5230122526530177,-2.2236046512965113,1.099791912233457,-1.3247968276385218,6.2552506009694184,-4.1716831644419585,-1.3806635459307581,-3.7157302816752344,1.2596484700795263,-0.46185544332303108,1.3177145997639745,-2.3060733993891627,-0.057403357828035961,-2.1491220911387354,-1.5088147242907435,-2.2488428076151759,0.89430573383532463,-1.2219919284228236,-1.7824537475947291,4.7233945409413423,-0.8146330138090998,0.60548105636797844,4.515163091814145,-2.2426744421366602,-0.93062654336728157,-1.4334760030154139,-3.3568438013438135,-0.10162368615902961,-1.2473947127703577,-1.5495269616488367,-3.387439819181338,-2.4978031834010035,-2.4426278789881617,0.23960020939074456,2.0904172937031835,-2.0420862158183009,4.447622923051938,0.33577218452654778,6.0066849271412934,-1.2338218410853297,-0.76057930489815773,1.4095458070393652,-0.41820094188489021,-3.2321222742442042,5.8363801519032563,-3.3232058008555323,-2.5770795067194849,-0.31931096514500679,0.72523787418566643,-0.036010058725252758,-1.6460498293284327,-4.2690785845164214,5.3818947354909028,-1.8912765701655299,2.2370673696156591,-3.2408536394480616,-0.01739844878949226,-1.6100855191592127,1.1436475793477148,-2.5046910961512476,1.2412191907521337,3.1574496308919042,-1.7195602377299219,-4.7333548982981597,6.1509872953053559,-0.61843190541304649,-2.2150703390482813,-5.430299611890689,-2.640328617895022,-2.9598692377451807,-2.3358186205271632,2.9129666368123144,1.7064711133595556,-2.3687793930415064,-3.3262511213663966,4.272367624437436,-2.3304073532465845,-5.2894814928416167,-1.5694117864016444,0.69464531341753899,1.2206509391423315,-0.38724771341122688,-2.281199904287234,0.87080135742388665,-3.0151425321940333,5.7142797986622895,-1.7597033699396998,6.3953572789784516,4.580111650621518,-3.4103980978373438,6.4420615712758149,-4.1383369882944976,-0.40766781767643989,-4.5225485285166656,-4.4413059671763335,6.0136028806325044,-2.5683570822123438,-2.0698828419093043,5.9267965833302583,5.8210684339161958,-1.584379287565127,2.4513479749318212,0.31395700374804436,-2.8859759291056544,-1.6249425133112818,-2.4603950699213892,-1.8524055202845484,-5.2353986223582183,0.18474444547854363,-2.2207362373713404,5.3366757909413423,6.5767537633534516,4.927673963701352,-3.2087076624277979,-1.4646193703059107,-2.422739358747378,5.3576818982716645,-2.099086376035586,-0.80372051348723472,-3.9434927423838526,-2.9411636312846094,1.1226489822026342,-1.3077832778338343,-0.78446293076314033,-0.68009287318028511,4.4954034368153657,-1.7862660606745631,2.6894771138783544,-1.0091382583025843,1.5287803689595312,5.8734637776967134,-1.9619347771052271,5.6830383817311372,-2.5390444715861231,4.1398221532460298,-1.2197047789935023,1.6846672574635595,6.1165787259694184,-1.2854562123659998,-0.56570275327004493,-2.1670902689341456,-2.8032799681071192,-1.1525176187399775,-2.3812174518946558,0.88983025947771965,-4.9088624437693511,-1.5525943954829127,-3.266095014417544,-1.3213318904284388,6.33929028907977,6.3083335439320649,5.3751651326771821,2.3950490037556738,-2.5892675836924464,-4.4900182207468902,-3.7087305506113917,5.0579430142994966,4.3881346265431489,-3.241342874372378,-0.76926513587869705,4.7141295949574555,4.8203302899952973,6.2412511388417329,6.1266581098195161,3.4219328443165868,2.9060088674183935,-1.6100386103037745,2.0702642480488866,-0.63595286955870689,0.001632181799039234,-1.7061382254008204,2.1587850133534521,-5.0214823206309234,-1.8804079016093165,4.8964935819264497,-0.22585761746205391,-0.9315751661900431,1.6518577615376562,-3.7565096338633448,4.5343104879017915,-0.25433305105008186,-0.59171976348198951,6.2357431928273286,-3.9927330931071192,4.1006461660023774,6.3245631734486665,0.31341960827074944,-2.3546580990199,-0.027807446325197827,-1.5766496380213648,-3.1263745745066553,-2.0799854715708643,-0.87494377990998329,-4.1723013838175689,-2.6738413294199854,3.1740800420399755,-0.7417087220940739,4.9637571851368989,-2.4503285606745631,1.6926080266591161,0.85934927860461174,3.4705716649647802,-3.294992776716128,-2.8455587347391993,-3.1253803690318018,3.7592670003529638,-0.76378666808642448,-2.0003306587580592,2.2952796498890966,6.1151291410084809,-1.1817605515364558,-1.4531759341601282,-4.4622977693919097,-0.50720545848645271,4.1018168012257661,3.4780861417409032,-2.2370871027354151,1.986632732545957,-1.8131473978403956,-5.0639975984934722,-2.3007143457774073,-2.705123277509585,0.035058585798367847,0.22291055122576653,3.6925312558766454,2.8941611329670995,-1.845871420705691,0.78922310272417961,-2.3646841963175684,0.97853210369311272,-1.6979959925059229,-5.2773097475413238,1.0312146226521581,-2.0426032265070826,-1.8615666349772364,-1.660240681970492,-5.3637460192088042,4.6611811200734223,-1.0947847386244685,-1.9412618597391993,-3.1654377897623927],\"z\":[1.7209126597205178,0.304718563512899,2.9518279677191748,-0.11627197806444017,2.527021372870542,-1.1616564149102195,-0.44043216650094835,-4.4422009343346582,-1.8901479596337303,0.64212461765203632,0.90162458475027241,-0.5616598481377586,-0.31387249176111071,1.6474694853583352,-1.8559828156670555,1.3017032986441628,0.53710638935957111,-1.2055859917839988,3.2410707121649756,3.5603587275305761,2.2997942810812964,-4.4041054600914942,3.0363416319647802,-4.1149027699669825,0.53898705001268543,-1.3542396182259544,-1.0455540770730003,2.2678830271521582,-3.1062190884789453,3.3926832323828711,-1.9399180764397606,-2.1132080907067285,0.8171541338721291,0.90080531890783466,3.2868349200049414,-2.2322132939537989,-1.6255686635216697,3.6978158598700537,-3.3646304959496485,-4.3691227788170801,-0.46031162683572618,-1.7735357636651023,-0.24576518480386583,1.0056945925513283,0.77559181507024921,1.1263341551581398,0.76457359846029438,-2.0971832627495752,0.32114868070278318,-2.1789520138939844,0.59330972488317646,-4.064512526436709,2.7288589125433935,-0.74776128475274883,-3.9802940243920313,-2.265229021950625,-2.1370454186638819,1.3236580735007302,2.5187892561713232,-2.0720038766106592,2.070060694769956,-1.8430841321190818,0.54968904908094562,-1.9872184151848777,-2.2787847871026026,-0.65203252975549542,2.3033556586066259,1.9580397253790871,1.5473641997138039,-1.1801981085976585,2.8522421961585058,-1.9414627904137596,2.2424358969489111,1.4935800677100197,2.6814934855261816,-1.8734398240288719,-1.0633577460488304,1.3253179436484352,-1.3942010754784568,1.4389643317023293,0.87805118616018452,3.1031601076880468,3.1063513403693213,1.1078978424826638,0.92488339002523579,-0.33500662986841051,0.91635533626470722,-0.61538109724130474,1.9235921746054665,-0.84139434043969952,2.2650366669455542,-2.0481994504174219,-3.7735307568749414,0.60138397868070759,-0.051875984116457385,-1.3837494010170921,-0.086225038214586658,0.22023350949678572,-2.3228574151238428,1.8464862948218361,3.7029113417426123,1.2781826501647011,-0.56737945024576031,0.46906028892192991,-2.2135410660943018,-2.0628683919152246,-1.2380369061669334,-0.04046544973459093,0.837201023654081,2.9908573275366797,1.2327821498671547,1.9862050658026711,-0.17170277778711168,-2.2872708195885645,1.6243790036002175,-4.4389136189660059,1.1687112694540993,-1.7915833348473533,-0.93923786823358379,0.89649810846243061,-0.089318996115587634,2.4751481657782568,0.021782869652844983,1.0894958620825783,2.415010178641416,-2.4634974354943262,-1.4219024533471092,-2.0867083424767481,-1.6111193055352195,-0.87906924430932842,3.3997888212958349,0.84418412502203144,-1.2857990616997703,-1.5206691378792747,2.2332950478354467,1.4481854086676613,1.1002716666022316,-1.3295537585457786,2.6543135290900244,2.2881769781867041,-0.75032225792016827,-2.3060582036217676,-0.78535715286340557,2.4039139395514502,-2.3108218068322168,0.51729873772058643,-0.67585364524926983,0.053315753296948987,-1.8620951527794822,-1.9020243043145164,-1.2004583234032615,0.78582485969457783,-1.6618275994500145,0.86647834833059467,-2.3881311768731104,1.5621211176672951,1.9238834028998391,1.0202697759428994,0.47894205357227476,1.3589428907195107,-0.32135615293588488,0.68090977723989643,-0.55646727029886089,1.5054069405356423,0.55365350301656879,-1.5736995095452293,0.95347877796087421,1.1247000342169777,0.71669798548612751,-2.29292706195917,0.71361448820028461,3.739574158743955,1.3499763255873696,-0.61775795166101299,-2.1065354699334131,1.6193426495352761,-3.5662513131340967,3.0720355158606543,-1.9200106019219383,1.8633428459921852,1.5980829840460793,1.7556627636710183,1.7654970532217995,3.3954834585944189,0.94232525880727924,-1.9662084931572898,-1.849751507683657,-1.9525401944359764,1.4878282194891945,-0.63729122821893536,-0.7145071381768211,-0.39546743576135485,-1.3430507535180076,-2.0330062264641748,-4.1679814213952051,1.0494790321150795,1.4979819899359719,3.2407769804755224,-1.3561985844811424,1.0498764162817971,-1.191149269982241,-2.0094900483330713,-1.8639381283959373,-0.47995248977746813,-4.5793383473595606,1.6782898550787941,0.74070682580862202,-1.5883779877861961,-2.3771019334038721,3.1538161879340185,3.7083072310248388,-2.0808737630089746,2.0160249119559301,3.8996264582434668,0.14952222462091597,-2.0323360318383203,1.6737135296622292,2.1459217911520971,-0.31565431301202623,-0.026652877970598621,-4.1024010533532129,-2.1747932786187159,-0.94935015384759747,1.6422769671240822,1.5686887150565163,-1.7098124379357322,1.1636628156462685,-0.7162318581780418,-1.7282541150292381,2.2822488194266333,-3.2276380414208399,-0.078878974362276477,0.74750124867353596,1.5832513218680397,-4.0884254330834375,-1.0145118588646873,1.189559364871122,0.3903947194973007,-0.94834426586236797,3.1389162188330664,3.1442126875678076,0.47066290880832823,-1.2757071608742698,1.0581040626326577,1.1477326398650185,0.32490608300361784,1.9128696566382424,0.5173266773978249,3.0760864859381689,-1.1544330472191795,-1.9826200360497459,-0.64909449760522686,-0.23120782320108263,-1.76178578083124,-1.7653222436150535,-3.3801544064721094,-4.5782168263634668,1.0214734321394936,-2.2039041871270166,0.72845580633077778,0.88445487077627338,-0.29914370719995348,-1.0816707963189109,-1.9775553101738914,0.39048799331579359,3.4803926592627539,-0.32863870803918688,-4.1809685582360254,-0.092906569882296008,-0.93725935165490948,0.74785491283331074,0.18445610459242018,1.2826760655203835,-1.2093589657982811,3.7233423834601416,1.2038882618704811,-0.49340949003305284,1.7500769739905373,0.059543306187726575,-1.8433957452019676,-4.282156741066836,0.72548347170744099,0.66199704463873066,1.3617116456786171,-2.2377672547539698,-2.2304728383263575,1.6928121691504494,-0.30780450050439684,-1.2986466044625267,3.625844443396665,0.34684939514193686,-0.9748978966912254,-0.88790789787378155,-0.12677953188028185,-2.02537015621271,0.84438320453558124,-0.21080580894555895,-1.6897497529229148,2.1563965922156347,-1.2289797419747337,2.7292678004065527,-3.7606008404931055,-1.0677769536217674,3.5967497473517431,3.3604943400183691,1.1257096772948281,1.3127427345076577,-0.76174894516076885,-1.2205983752449974,1.3196410780707375,-0.30704352800454943,1.7848413830557839,-2.7273321503838526,1.1913472061911599,-1.5190250033577903,-1.6133187169274315,-1.6711378449639305,1.64319309051428,-1.9469058865746482,2.2391173487463965,-3.567005431099795,-0.79229167644586407,0.58494160528574146,1.1052656417647377,1.0154487734595314,1.4312659149924294,-1.6040673608025535,1.2016483789244667,0.15209474618826063,-1.9866021031579002,-3.9850170964440332,0.46787341143283995,0.12375443632993849,3.3176071291724218,3.3351301794806494,-0.17860732023324816,-0.40273997728433458,-2.2626276368340479,0.15176876838598402,-1.4128768796166404,-1.7225137109002098,1.9167555218497292,0.71580704505834736,0.77422132547292866,0.83087646420393146,-1.174794232293032,0.9538275843420998,-0.67436913196649395,-1.3853454941948875,0.055805141285993176,2.6971456652441992,-1.7222819680413231,-2.036694561882876,0.22020485456380995,-1.0017899626931175,-2.0363965386589991,1.9681576138297097,-0.60229984466638409,2.8106479292670263,0.7931694930354134,1.2149381881514565,-0.59038505498971783,-2.3249888772210108,-1.0659122819146141,-1.3062185401162132,0.43357135187182577,2.4989740496436132,-3.7645094746788965,-0.038051163597963733,0.098663741902448254,1.1280154829779641,3.7040762549201025,-1.1353292817315086,-2.2370138520440088,-0.73369005863275372,-2.0130548829277979,-2.1559827679833399,-0.45105413143243639,-1.5762316340645774,2.6990682726660742,1.4027789479056374,1.7726575976172463,0.37313892850000413,-0.86793092434015118,1.7184003239432351,1.8767610436240212,-1.1653086299141868,-1.5945712680062278,-0.19997534696664659,-0.27938840334024279,0.9043699746886269,-1.3924358243187889,-1.7441013211449607,-2.164802586480044,-1.8035307282647117,-1.8367646092614158,1.1526832824507729,0.50072960014734424,-2.2032118195733057,2.7361378317633642,-1.7908523434838279,0.80211066658888019,0.25911098177824171,-2.3312256688317285,0.96546807344350971,1.5409364348212258,3.214291298941709,1.1345819478789345,-0.99145928566064678,-3.8196928853234278,3.6591691618720068,-2.5635261887749659,3.3964278345862402,0.8544526642123238,-2.1815410012444483,2.2979336624899878,1.2083266025343911,2.6538922434607519,-1.666209256096743,-3.8914845341881739,-3.7873032445153223,1.6922328120032326,3.0861770754614843,0.4213397895852104,-0.360995268269442,-1.2482587451180442,1.9154033308783547,2.0755170231619848,-0.26055273954477159,0.32712042163405569,1.4042644148627297,0.71589305456075825,-1.821381842537783,1.0160376673499123,0.78435095603857197,-1.052843605919741,-2.2612905854424463,0.6890948658743874,-1.8348224515160545,2.9087946062842382,1.6430362110892311,-0.4968474263390526,2.6027874594489111,-1.3492400998314842,-1.486954843445681,-2.07944730465021,-1.1020439023217186,-0.54610196296777569,-2.2726106995781885,1.2273513322630898,-3.0372295731743799,3.5530161505499853,-2.1356568688591944,-1.7008445615014061,1.016341054991819,1.5856625681677834,-0.14174357597436754,0.88299956376943745,2.455823863104917,0.98261817748937763,0.75345029886160053,-1.5385767573555931,1.5969053154746071,-2.8063612336358057,3.5408041125098242,0.98550584371481098,-3.5016446465691553,-0.75427452270593487,-1.2737386578759178,-1.6466327065667137,-1.8502304906090721,-2.3419442528923975,-2.0458758229454981,-1.2706771249016746,1.9913510924139992,3.4627344256201757,-2.2016206139763819,-2.2152846211632715,3.0283591395178808,-0.47989234869088976,0.068220908001996594,-0.77350369636621319,0.50619247014913715,0.83226543124113239,-0.759559070511721,-2.1788525933464991,1.9045886641303078,-3.9743526334008203,2.6428641920844091,0.82426616008672871,1.0060130005637185,-0.90193072502221905,0.99577304180059589,2.2701818590918554,2.87701340969,1.1097865944663063,1.0397622233191506,-1.4801934117516502,2.5116467123785986,1.0542903190413491,-0.10410792176332323,-0.52546677534189068,-2.2278192395409571,1.8003981953421608,3.2558207159796728,-0.13142303173150865,1.5368673449316994,-1.7740826958855613,3.0596899634161963,3.1895594244757666,-0.17401996795739977,0.91778298671636738,1.6361664181509987,-0.73427704517450176,-2.2525081986626612,-2.2196486348351465,0.69169294293317951,-0.46725687925424425,1.1021707301894204,0.53705961461458362,0.62042188103590168,0.86326968129072346,-4.1374972218712793,-0.08763489667978136,-0.55257776920404278,0.70897960122022785,1.4694782143393532,-1.6909764165123924,1.7370013838568703,-1.2234360331734642,1.392500722960569,1.1404010897437111,0.70430269296560444,-0.77642956916894756,0.55308466608915485,-0.35568419639673082,-1.5766607875069603,1.8585914021292702,-3.3035679215630518,-2.3364601487359034,0.90753599460516132,-2.2550762051781641,-1.1180763596734031,0.65383696015272297,1.2952232008734719,-1.9782958382805809,-0.59248397295083843,2.2972430830756201,0.038324529484845715,0.091932917193509656,2.0057422762671484,-4.1635878438195215,-1.8778262490471824,1.3438335901061074,0.043047363118268567,-1.7005379552086815,1.8161207085410134,-0.69823590461816631,-1.9868114346703514,-0.68850151245202862,2.8571991568366064,0.96169736440572895,-2.2192685956200586,2.4049763327399267,0.58710421080980457,1.6121569519797341,-3.7493899220665918,1.4361596947470681,-2.0254648083886133,-1.0320638770302757,-2.194324767037295,-3.3233628625115381,1.1207342391768471,0.93353792484197773,-4.3238962048729883,-2.0157058591088282,1.3689778691092507,2.3818230276862158,-1.6327367181023582,-2.2361541146477686,1.2783063894072548,-0.34779039566125719,-1.6785416955193504,-1.3047206753930076,-4.0978777760704981,1.7616051083365456,1.1861673241415993,0.96773936803732075,0.19234318490419539,-0.61603239719476544,3.5063635950842871,-4.0356600636681543,-2.7837984914025293,-2.2865541333397852,-2.1630576008995996,0.47733135725650938,-0.85122517292108379,3.5315065031806006,1.2911687141219155,0.43814096058998259,2.8295335417548193,1.0183514600554482,-2.0716970318993555,0.074111575440503674,-0.1683719510277733,1.8081029301444069,2.813250506476499,-0.17830512468423693,2.2930901890555395,1.8301757221976296,-2.1124124879082666,-2.3127229565819727,2.3696720248023047,3.7532853728095068,3.6653802042761816,-2.2501683587273584,-1.7157409543236717,2.5517861491004004,1.3657154088774697,1.0044521933356301,-1.9490778798302635,-2.0694294327935205,-1.3766488188942894,1.0883080011168496,3.7152385359564795,0.24303577299509199,-2.3975520486077295,-2.0111916417321192,-2.1207371110161768,1.323900664404966,3.4216956740180029,-2.1676068658074366,0.2165401970902458,0.53535660560522236,-0.029214953823946399,-1.4250539893349632,1.3786654120245949,-2.1199062222680078,-2.290758168145083,2.2367086058417334,2.3664700632849707,1.4042710905829445,1.6668164377966896,-2.2967899197777735,-4.0652792805870996,-0.19649956171121447,-1.7053244466027244,-2.096262490197085,-0.27862081472482531,1.8389694338599221,-0.70852748100366436,0.39061276912037285,-1.4190649146279319,0.61508458311948933,2.6585242396155371,-2.3407025689324366,3.5099353438178076,3.1888248568335547,-1.7592449540337547,2.296513879851438,-1.2292689437111839,-0.55698255245294415,2.4151751642981543,0.8907671218672768,-0.10765579883661119,-1.8264146203240379,2.3196100836554541,-1.9832051152428611,-4.1977947110375391,-1.2108956927498802,-1.2360688800057396,-1.8238900059899315,-0.86720553581323467,-0.027806436463259143,-1.7001874798974022,-1.2176562899788841,2.3941752558508886,-0.45528093521203844,2.2259193306723608,-0.068795179768465442,-0.41647366230096666,1.3449152951994912,-0.54538110439386212,1.3633727675238625,0.85273441131506122,0.24904445763025435,0.6631188338557259,0.4339464550772682,-1.3287616128167137,2.2579960470953955,-1.4042799824913963,0.61381466145906605,2.3593933230200781,0.8688000386515633,1.4263145571509377,-1.6951468342980369,2.7577550059119238,0.17524067516718062,0.9498038535872475,-2.0003671998223291,0.18651787395868452,0.43843322451505812,-3.9814703816613184,0.57061597164068378,-1.5036745423516258,3.0048808699408545,-0.33383670990075914,1.7172023897925393,-1.6321361417016014,0.98652752693090595,1.9697740917960183,1.0880603438178078,-0.53754291479196392,2.773108208731748,-4.2355239743432032,-0.37801322881784288,0.72456821258459247,-2.0279355401238428,0.54893437977228321,3.1907698756018652,3.0268418436804785,3.457516396597959,1.4449412470618264,-3.340039288445376,0.84601234848890461,-1.4419619197091087,2.3569098358908667,-0.14701214973535387,1.4355934506217018,0.62639995868597187,0.99976345355901874,1.2342852001944558,1.2835021858969704,1.2228841429511086,-0.21482173149194567,3.613076413230039,-2.3255999440392481,-0.17167637292947618,-1.5193666571816429,-0.21886805240716783,0.57198853249941028,2.5018155222693457,3.2400831824103369,2.9130816107550634,-2.1386235112389551,-0.26648065988626329,-2.7126224393090235,-0.13236359302606432,-0.18778732959832994,0.67918309028539814,-0.97862473671045147,2.0716530924597754,-1.9102948064049705,-1.6672747487267479,-1.7135117406090721,-2.2741632813652979,-0.32925484125223009,-1.2433543557366356,0.36929347710032018,1.8232771998206154,-1.2759771699151023,1.1154466515341774,-0.021791195317171497,-1.1791127080162986,0.8878723030844704,3.6451568251410498,1.9975769167700783,0.7745423858920113,1.2915099507132546,-1.8756244534691795,-4.3823464268883692,-1.4591155404290184,-3.7586329335412012,-1.5040309781273826,-2.5591385716637598,-1.6513920182427391,1.5046544914999977,-2.0850282067498194,-2.1008479947289453,2.6287481432715429,1.1270150786200539,0.32470682095084341,-2.057024037285708,-1.2075527066430076,-1.065495407029055,0.13675721939001234,1.3079818731108681,-1.2754156941613182,2.884389365271665,1.3640479093352333,2.0701118355551733,-0.37930515949334948,2.5852379446784033,1.2134255414763466,2.5993244295874609,-2.2355978841027246,-1.3153759593209251,-1.8953039998253807,-0.45669290964212267,0.87915643508825458,-1.6264961117943748,-1.0798709744652732,1.6988180523673073,-0.94540134613122784,1.667353714064695,0.037134016112424451,-0.90237275306787335,1.2605692392149941,-1.1737389916619285,0.40754000674281271,1.4392054920950905,-0.45946708862390367,-3.0717862004479395,1.1325286274710671,-0.66270211879815899,2.3558253889838232,0.1166816001692787,-1.7870245331963523,3.0938043242255224,1.4199568873206154,-2.2672367448052393,3.5120024328986181,1.9821776991644875,-1.0933958644112571,-1.7200847024163231,-3.6352956647118555,1.8281238919058815,3.2434551363745703,1.7570126896658913,0.94751032646093525,0.94733711536321796,1.0536057596961037,-3.5108058804711328,1.2466590052405373,0.47824824060592802,-1.6976774090966209,1.6713567620078102,-1.3610468262871727,-0.77255121414270245,-1.1383841389855369,0.02872138674650343,2.4830815439978613,0.88447066600713886,1.9429345970908181,-1.0324172133645042,-2.3510797375878321,-1.4476848000725731,0.26201189513597639,1.1477381830969826,-1.4810302609642967,1.7048794871130959,-0.53395435754861675,1.6828380471030251,0.90038057620916523,-0.99898735229577862,1.2779807096282021,-3.4881890172204004,-1.5146830434044822,-0.72990480606164776,-0.610877429886721,-2.2288358563622461,-1.8078728074273094,2.216438139037229,-1.5956042165001854,1.2107753997603432,3.7306248789587988,1.7515104656973854,-2.2431216592034326,-3.7950709218224512,-0.27807972375955431,-1.5701052302559837,-2.0571282262047754,2.8631963377753271,-0.4825310463150963,1.6426313763419167,-2.0708632821282373,3.3254556303778662,-1.9241636151513084,1.9326098805228249,2.1696555262366308,-1.3984380120476707,-1.1418389434060081,0.19010824914369734,-0.1337219232758507,-2.1535916680535303,2.7292859202185644,-2.2689855450829493,2.4331793432990088,1.0194046741286293,-1.8206553811272606,-3.9941161030968653,-2.0084650868615137,-0.075243359251879138,0.55220734532270588,-0.75211945716943585,-1.5432904118737205,-1.80182484333124,-0.82482949440088116,0.86275687272939838,-3.5396340245446192,1.3238997703352944,0.044734383181668835,-3.2960760945519434,-2.0534053200921045,2.2898159867087378,3.2229990607062353,2.7280842905798925,3.2318439131537451,-1.2646129483422264,-1.4033933037957176,-0.47724065725412218,0.92000427301321186,3.077028000907041,1.6591003781119362,2.000695312575437,-2.0032043809136377,0.43237840588483961,2.5682856684485449,-0.60239753667917095,-2.0061273926934229,0.086906844929792004,-1.5733874196251854,-1.7488398904046043,-2.2866111153801905,-2.2330105656823145,3.6391958838263525,-2.0540738457879053,-1.4164207333764061,-0.025705700560472888,-1.9356620663842186,0.99586179311666645,1.7376130467215554,-2.3733580464562403,-2.0383117551049219,1.4584244137564675,0.66361799295339741,-2.2756264561852442,1.240804219798185,-2.1218195313652979,-0.42767701093759386,-1.2472914809426292,-1.4674115533074363,2.4409746771613134,-2.2123680466851221,-1.3827655667504295,1.845051730231382,-2.5346234196862207,-1.4120872372826561,-1.3125818127831443,-0.012733524485491199,0.95320072229299702,0.21816810424719008,1.9236166125098244,0.075430149392224866,-2.3801901692589746,-1.9588947648247703,-0.29265860263910143,1.6331224089423195,1.1292436962882058,0.88943287189397968,-2.2359147423943506,1.5138283615866677,1.9692984467307106,0.72607460077200092,0.69116958434972919,1.4489907866278664,-0.63467577640619122,1.1443618779936806,-1.4216475838860496,0.54873485322389759,-0.38111028616037218,1.5091299658576027,0.79618325288686909,0.56344146485719837,0.7448875253954903,-4.1484949940880762,-2.3450262898644434,0.51448547299299396,1.9984683638373391,3.2512380724707617,1.1803533678809182,0.071157509640790539,2.7110910063544287,0.73239692504797138,0.9550708180228249,0.3882182344729081,1.0160740857878701,-3.5063732022484766,-2.0848410481652246,3.2758783942023291,2.0168980007926001,1.0070734267989174,0.077136183337308484,3.4548844939032568,0.11523925717268141,1.8868381624976174,-1.9708857888421043,3.0285789614478125,2.9304322844306006,2.6455645209113134],\"text\":[\"Cell:CAGCCGAAGCGATATA
group.by:Ductal
color:Ductal\",\"Cell:AGTGTCATCGCCGTGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATGAAAAGTTGTAGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CACAGTACATCCGTGG
group.by:Beta
color:Beta\",\"Cell:CGGAGCTCATTGGGCC
group.by:Ductal
color:Ductal\",\"Cell:AGAGCTTGTGTGACCC
group.by:Ductal
color:Ductal\",\"Cell:GCTCTGTAGCGTGAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACCGTAACAAGGTTCT
group.by:Beta
color:Beta\",\"Cell:CCACTACAGGTGGGTT
group.by:Beta
color:Beta\",\"Cell:TGCGTGGGTCCCTTGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGAGTGTCTTCTCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCGTGGACACGAAGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GAACATCAGCAATATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCTACACAGTCGATT
group.by:Alpha
color:Alpha\",\"Cell:ACGGCCACACGTGAGA
group.by:Ductal
color:Ductal\",\"Cell:CTCGTACAGAGGTTAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTCTACAGATGCGAC
group.by:Beta
color:Beta\",\"Cell:CTCACACGTCACACGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AAAGCAACACGGTAAG
group.by:Ductal
color:Ductal\",\"Cell:CATCGGGCACGTTGGC
group.by:Epsilon
color:Epsilon\",\"Cell:ATCATCTGTGTTTGTG
group.by:Delta
color:Delta\",\"Cell:CAAGGCCCAAGAAAGG
group.by:Beta
color:Beta\",\"Cell:AGATCTGGTTCGGCAC
group.by:Epsilon
color:Epsilon\",\"Cell:CTCTGGTCAAGACACG
group.by:Beta
color:Beta\",\"Cell:TACAGTGTCCCTAACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGACAGATCAGCATGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACTCCACATATGGTC
group.by:Ductal
color:Ductal\",\"Cell:GTTCATTGTTCCAACA
group.by:Alpha
color:Alpha\",\"Cell:TAAGTGCCAATAGCAA
group.by:Beta
color:Beta\",\"Cell:TACTCGCTCTTCGGTC
group.by:Epsilon
color:Epsilon\",\"Cell:GCTGCTTTCCTCGCAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCTGGGTGTCTAGAGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCTCTCAGCGTGAGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGAGCACTCTAACTCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATCGTAAGTGCAAGC
group.by:Epsilon
color:Epsilon\",\"Cell:TGTCCCAGTCTCGTTC
group.by:Beta
color:Beta\",\"Cell:CTTGGCTCAGCCACCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGTCTGGTAAACCTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGGACTGTCTTGAGAC
group.by:Beta
color:Beta\",\"Cell:GGTGCGTTCTGGTATG
group.by:Beta
color:Beta\",\"Cell:TACCTTATCCGATATG
group.by:Beta
color:Beta\",\"Cell:ACGGGTCTCTATCGCC
group.by:Ductal
color:Ductal\",\"Cell:GTACGTACATCGATGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCGTAGATCTTTACGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAAGTAGAGAGTGAGA
group.by:Alpha
color:Alpha\",\"Cell:AGCGTATTCTGCTGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGACAAGTCATAACCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACATCAGTCCTTGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCAGCGACAGGCTGAA
group.by:Beta
color:Beta\",\"Cell:GGACAGAAGTGGAGAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GACTACAAGCGTGTCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGCAATTGTAGAGCTG
group.by:Beta
color:Beta\",\"Cell:GTTCTCGCAAGTCTAC
group.by:Alpha
color:Alpha\",\"Cell:CGAATGTTCTTCATGT
group.by:Beta
color:Beta\",\"Cell:CCGTGGACATTCCTGC
group.by:Beta
color:Beta\",\"Cell:CTAATGGAGCCGGTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGCGGTCGTCGAATCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTATTCTTCACTTACT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGTCCTAGGTGGGTT
group.by:Alpha
color:Alpha\",\"Cell:CGACTTCCACAACGTT
group.by:Beta
color:Beta\",\"Cell:AAACGGGTCCGCGCAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTAGTGACATTGAGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCCTAGAGAGTGACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCAGTTATCTTGAGAC
group.by:Ductal
color:Ductal\",\"Cell:CGAACATCAAGCGAGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGGAGATAGCGAAGGG
group.by:Beta
color:Beta\",\"Cell:CATCGGGAGGCCCTTG
group.by:Alpha
color:Alpha\",\"Cell:TGGACGCAGCTGCAAG
group.by:Alpha
color:Alpha\",\"Cell:CAGAATCCACGCATCG
group.by:Ductal
color:Ductal\",\"Cell:CTCGGAGGTTGGACCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGGACACTCTATCCTA
group.by:Beta
color:Beta\",\"Cell:CGTGTAATCATTATCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTGTAAGTTAAGATG
group.by:Alpha
color:Alpha\",\"Cell:ATTTCTGTCCCTGACT
group.by:Alpha
color:Alpha\",\"Cell:AGAGCGAGTTGGACCC
group.by:Ductal
color:Ductal\",\"Cell:CAGATCACAACCGCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGGCTAGCATTCCTCG
group.by:Beta
color:Beta\",\"Cell:CCACGGACAGATGAGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGGCGCAAGAAGATTC
group.by:Ductal
color:Ductal\",\"Cell:CATGACACAAAGTCAA
group.by:Alpha
color:Alpha\",\"Cell:AACGTTGTCAGTTAGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTGGTCTAGGTGATTA
group.by:Epsilon
color:Epsilon\",\"Cell:TCAGGATTCCAGTAGT
group.by:Epsilon
color:Epsilon\",\"Cell:CATTATCGTCATATCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCGCAACAGTGTACCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTGCATACAATAGCAA
group.by:Ductal
color:Ductal\",\"Cell:TTTACTGGTTCGTTGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTAGTCAGTCCGACGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCTACACGTTCTCATT
group.by:Delta
color:Delta\",\"Cell:AGCTCTCTCAACACGT
group.by:Ductal
color:Ductal\",\"Cell:CTAACTTGTAGGAGTC
group.by:Alpha
color:Alpha\",\"Cell:ACGAGCCGTGACTACT
group.by:Ductal
color:Ductal\",\"Cell:GTAGGCCGTTACCAGT
group.by:Beta
color:Beta\",\"Cell:TCTCATATCAGAGCTT
group.by:Beta
color:Beta\",\"Cell:GCTGGGTGTCATACTG
group.by:Beta
color:Beta\",\"Cell:GGGAATGTCGACCAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TAAGTGCTCCAAATGC
group.by:Beta
color:Beta\",\"Cell:TAAGTGCAGGGTTTCT
group.by:Ductal
color:Ductal\",\"Cell:CGGACTGAGGTAGCTG
group.by:Ductal
color:Ductal\",\"Cell:CAACCTCTCTCTGTCG
group.by:Alpha
color:Alpha\",\"Cell:CTGAAACGTTCCCTTG
group.by:Epsilon
color:Epsilon\",\"Cell:GTAGTCAGTACTCAAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGCCACCACCTATCC
group.by:Ductal
color:Ductal\",\"Cell:CAGAGAGGTACCGTTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTCTACAAGATCGATA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCACAAGCACCGAAAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCGGGACGTCATCGGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGCCAGAGGAACTGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATATGGCATGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:ATCATCTTCTGTCAAG
group.by:Ductal
color:Ductal\",\"Cell:CCGTTCACAGTAGAGC
group.by:Alpha
color:Alpha\",\"Cell:GTCAAGTGTGGTCCGT
group.by:Ductal
color:Ductal\",\"Cell:TTTGTCAGTTGTTTGG
group.by:Ductal
color:Ductal\",\"Cell:ATTATCCAGACCCACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACCACTCAATCTACG
group.by:Alpha
color:Alpha\",\"Cell:GCGCGATGTCCGAATT
group.by:Beta
color:Beta\",\"Cell:CATTATCTCTGAAAGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTAGGACAGCTAAGAT
group.by:Ductal
color:Ductal\",\"Cell:GCGCGATTCGCGTAGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTACATTCACCGTTGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCATTTGCATTGGCGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCAGCCCAGGAATGC
group.by:Ductal
color:Ductal\",\"Cell:GGGATGAGTCTGCGGT
group.by:Beta
color:Beta\",\"Cell:TGCGCAGTCTGCCAGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGCGTATTCTCGTATT
group.by:Delta
color:Delta\",\"Cell:GTCTCGTAGATCTGCT
group.by:Beta
color:Beta\",\"Cell:CAGAATCGTGTAAGTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGACTTTAGGTCATCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTGCATATCAGAGACG
group.by:Beta
color:Beta\",\"Cell:TGGCCAGCACGAAAGC
group.by:Ductal
color:Ductal\",\"Cell:TGGCGCACAATGTTGC
group.by:Ductal
color:Ductal\",\"Cell:CAGTAACGTCTGATCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGCGACAGATCACGG
group.by:Beta
color:Beta\",\"Cell:AAAGATGAGTGAACAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTTCTCTGTCAGAGGT
group.by:Epsilon
color:Epsilon\",\"Cell:ATTTCTGAGAAGATTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCTAATTCACCATAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGTGTCTTCTTGTCAT
group.by:Ductal
color:Ductal\",\"Cell:GCCTCTAAGCTAGTCT
group.by:Delta
color:Delta\",\"Cell:CCTAAAGTCATGCAAC
group.by:Ductal
color:Ductal\",\"Cell:AGGCCACAGCTGTCTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GAAATGACACATGACT
group.by:Ductal
color:Ductal\",\"Cell:ACTGAGTAGGCTAGGT
group.by:Ductal
color:Ductal\",\"Cell:GGCGTGTCAACTGCTA
group.by:Alpha
color:Alpha\",\"Cell:AACTCAGAGAGCTGCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGCTTCACAGATCGGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGCTTTCTGGTGTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTGTCTCATACTCTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTATCTGTCAGGACA
group.by:Beta
color:Beta\",\"Cell:CTGAAACTCGATAGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTTCTCGCAGCTGGCT
group.by:Ductal
color:Ductal\",\"Cell:CATATGGAGGCCCGTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGAACAGCCTCGTG
group.by:Ductal
color:Ductal\",\"Cell:CCTAGCTCAGGTGCCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCCTCCTAGACCCACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTAACTCGTCCGAACC
group.by:Ductal
color:Ductal\",\"Cell:GTGGGTCCATAAAGGT
group.by:Delta
color:Delta\",\"Cell:CTGAAACTCAAACCAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTTCTCGGTTTGTGTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACATCAGTCCGTTGTC
group.by:Alpha
color:Alpha\",\"Cell:ATCCACCTCCTTTCTC
group.by:Beta
color:Beta\",\"Cell:ACAGCCGAGCCAACAG
group.by:Alpha
color:Alpha\",\"Cell:AAGACCTAGTAGGCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AACTCTTCACTCGACG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCGTATCACGAGGTA
group.by:Alpha
color:Alpha\",\"Cell:GGACAGAAGGCCGAAT
group.by:Beta
color:Beta\",\"Cell:ACTGTCCCACGTAAGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCCACACCAGGCGATA
group.by:Alpha
color:Alpha\",\"Cell:CGTCACTCAGTATAAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACACCTGTCGCTTTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCTCGAGTCGCTTCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGGCTGGCAGTGAGTG
group.by:Epsilon
color:Epsilon\",\"Cell:GATGAAACAGGCTGAA
group.by:Alpha
color:Alpha\",\"Cell:TTCTTAGTCGCAGGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCCCGATGTAAGTGTA
group.by:Ductal
color:Ductal\",\"Cell:CTGAAACAGTATCGAA
group.by:Alpha
color:Alpha\",\"Cell:ACTATCTTCTGCTGTC
group.by:Beta
color:Beta\",\"Cell:GATCGCGAGCTGAACG
group.by:Ductal
color:Ductal\",\"Cell:CATGCCTAGTGGTAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GACCAATGTAAGAGAG
group.by:Alpha
color:Alpha\",\"Cell:CATCAGAGTTCGCTAA
group.by:Alpha
color:Alpha\",\"Cell:CCATTCGGTGCTAGCC
group.by:Alpha
color:Alpha\",\"Cell:CCACTACTCTTTAGTC
group.by:Alpha
color:Alpha\",\"Cell:AAACGGGGTGAAATCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACCGTAATCTATCCCG
group.by:Ductal
color:Ductal\",\"Cell:ACTTACTCAATACGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GAACGGATCACAACGT
group.by:Ductal
color:Ductal\",\"Cell:CGGTTAAGTCTAGCCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGATGTTGTTACGCGC
group.by:Alpha
color:Alpha\",\"Cell:CAAGAAACACTAGTAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGTTGGTGTCGCATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTGCTCGTCCTAGCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTCCATGTCTAACGT
group.by:Beta
color:Beta\",\"Cell:CAGCTAACAACACGCC
group.by:Ductal
color:Ductal\",\"Cell:CAGTAACCATACGCTA
group.by:Beta
color:Beta\",\"Cell:CTCGTACCAGCCAGAA
group.by:Alpha
color:Alpha\",\"Cell:ATTATCCGTATAAACG
group.by:Alpha
color:Alpha\",\"Cell:GTACTTTTCAGTTCGA
group.by:Epsilon
color:Epsilon\",\"Cell:AGTAGTCCACATGACT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGTGAGGTCTGTTGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCTCATAAGCAGATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATCACGATCAGGATCT
group.by:Beta
color:Beta\",\"Cell:AGCAGCCCAAGTCATC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TATTACCAGCTAGTCT
group.by:Beta
color:Beta\",\"Cell:GTGGGTCGTACTTCTT
group.by:Beta
color:Beta\",\"Cell:GTCCTCAAGTTCGATC
group.by:Alpha
color:Alpha\",\"Cell:GCCAAATGTAAACACA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTTACTGTTTGGGCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTTACTCACCGTTGG
group.by:Beta
color:Beta\",\"Cell:CAGAGAGAGGACCACA
group.by:Epsilon
color:Epsilon\",\"Cell:AAGACCTGTGGCTCCA
group.by:Epsilon
color:Epsilon\",\"Cell:AACTTTCCACAGTCGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGATCATCTCGATGA
group.by:Ductal
color:Ductal\",\"Cell:TGTTCCGGTCAGCTAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCGCCAAAGAGGTTAT
group.by:Ductal
color:Ductal\",\"Cell:CATGCCTTCGCACTCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTAACTGTCAGTGCAT
group.by:Ductal
color:Ductal\",\"Cell:CGGAGCTGTTACGGAG
group.by:Alpha
color:Alpha\",\"Cell:AGCAGCCGTCGCATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGCCAAGTCTAAGCCA
group.by:Beta
color:Beta\",\"Cell:ACTATCTTCATGTAGC
group.by:Beta
color:Beta\",\"Cell:ATGCGATGTTACTGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATGAAAAGACAGACC
group.by:Ductal
color:Ductal\",\"Cell:GTCAAGTAGTATCGAA
group.by:Alpha
color:Alpha\",\"Cell:TCAGGTACAGTCACTA
group.by:Alpha
color:Alpha\",\"Cell:TATCTCACATTGTGCA
group.by:Beta
color:Beta\",\"Cell:CGTAGCGAGACTGTAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGATGTGTCGCGGTT
group.by:Beta
color:Beta\",\"Cell:CTCTGGTTCCCAGGTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGATGTTAGTAAGTAC
group.by:Alpha
color:Alpha\",\"Cell:CAGAATCCACAAGCCC
group.by:Beta
color:Beta\",\"Cell:GTAACTGGTCACTGGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACTTTCGTGGTCCGT
group.by:Ductal
color:Ductal\",\"Cell:ACGCAGCCAATCCGAT
group.by:Alpha
color:Alpha\",\"Cell:TTTCCTCAGTGTCCCG
group.by:Beta
color:Beta\",\"Cell:TATTACCGTTGAGTTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTTTCATCAGAGCTT
group.by:Alpha
color:Alpha\",\"Cell:TAAGTGCTCGCCTGAG
group.by:Beta
color:Beta\",\"Cell:TCGTACCCATATACGC
group.by:Ductal
color:Ductal\",\"Cell:TGGTTCCGTTGATTCG
group.by:Ductal
color:Ductal\",\"Cell:AGAGCTTCATTCGACA
group.by:Epsilon
color:Epsilon\",\"Cell:GGTGTTACATGTTGAC
group.by:Beta
color:Beta\",\"Cell:CCTCTGACATCGGTTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCTACGCACTAAGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCGGAGGTGAAGGCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGTCAACAGACAAAT
group.by:Ductal
color:Ductal\",\"Cell:TCGAGGCAGTTAACGA
group.by:Alpha
color:Alpha\",\"Cell:CAAGTTGTCTAACTGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGAGTAGGGTATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTTTGCGGTACTTGAC
group.by:Ductal
color:Ductal\",\"Cell:AGAGCTTTCTTGAGGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCACATAAGCAATATG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGGAGATAGTGACATA
group.by:Beta
color:Beta\",\"Cell:TGTGGTACAGTCGATT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TAAGAGACAGTAGAGC
group.by:Beta
color:Beta\",\"Cell:CACATTTTCGAGGTAG
group.by:Beta
color:Beta\",\"Cell:AGACGTTCAATGGTCT
group.by:Beta
color:Beta\",\"Cell:GGAACTTGTCGAACAG
group.by:Ductal
color:Ductal\",\"Cell:TGAGCATGTTAAAGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTGTAGGTCCAAATGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GAGGTGATCTAGCACA
group.by:Ductal
color:Ductal\",\"Cell:CGTAGCGTCACTATTC
group.by:Ductal
color:Ductal\",\"Cell:AAACGGGCACTGTGTA
group.by:Ductal
color:Ductal\",\"Cell:TGCGCAGTCTCTTATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AACACGTTCGGAATCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTGATGGTCGACTGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTTCTGTCCGCGGTA
group.by:Ductal
color:Ductal\",\"Cell:CAGTAACAGCCACCTG
group.by:Beta
color:Beta\",\"Cell:ACTGATGAGTGCAAGC
group.by:Ductal
color:Ductal\",\"Cell:CTGCTGTGTTGTGGCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GAGTCCGCAATTGCTG
group.by:Ductal
color:Ductal\",\"Cell:TTTCCTCTCTGAAAGA
group.by:Ductal
color:Ductal\",\"Cell:CCTCAGTAGCGTAATA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTCATTTGTCTCAACA
group.by:Ductal
color:Ductal\",\"Cell:GACTAACCACTCGACG
group.by:Ductal
color:Ductal\",\"Cell:GGTGAAGAGCAGGTCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GAATAAGTCTGATACG
group.by:Ductal
color:Ductal\",\"Cell:GTGCGGTCACCGAATT
group.by:Alpha
color:Alpha\",\"Cell:CAGGTGCAGACTTGAA
group.by:Ductal
color:Ductal\",\"Cell:GAGGTGAAGCTACCTA
group.by:Ductal
color:Ductal\",\"Cell:CATTCGCGTGCAGACA
group.by:Beta
color:Beta\",\"Cell:ATGTGTGAGTTTGCGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCTATTGCAGTAAGCG
group.by:Beta
color:Beta\",\"Cell:TTGGCAATCGGATGGA
group.by:Alpha
color:Alpha\",\"Cell:CGTCAGGAGTCATCCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CACCACTTCAGCTTAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCCCTAGTATCGCAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGGGCTAGACTTGAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGGCGCAGTGTATGGG
group.by:Ductal
color:Ductal\",\"Cell:CCGTACTGTCAGAAGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATCGATAGAAAGTGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCGGGTTCCAGGGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTCTTCGTCCTACAGA
group.by:Ductal
color:Ductal\",\"Cell:AGGGATGTCGCATGGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCCCTACAATCACAC
group.by:Ductal
color:Ductal\",\"Cell:CCCATACTCGTGGACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACTAACCATGAGCGA
group.by:Alpha
color:Alpha\",\"Cell:TCACAAGAGCCACTAT
group.by:Ductal
color:Ductal\",\"Cell:GGCAATTTCACATGCA
group.by:Delta
color:Delta\",\"Cell:TGGTTCCAGGAATGGA
group.by:Ductal
color:Ductal\",\"Cell:TTCGGTCAGGGCATGT
group.by:Delta
color:Delta\",\"Cell:GCATGTAAGAATCTCC
group.by:Beta
color:Beta\",\"Cell:GTTACAGTCTAGAGTC
group.by:Beta
color:Beta\",\"Cell:GTTCGGGAGTCACGCC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GATCGCGTCTGGAGCC
group.by:Ductal
color:Ductal\",\"Cell:TGTGGTAAGAGGTTAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCGTACTGTTACTGAC
group.by:Ductal
color:Ductal\",\"Cell:TTATGCTTCGTTTAGG
group.by:Beta
color:Beta\",\"Cell:GCATGCGCAAATTGCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAACGACACCATCCT
group.by:Ductal
color:Ductal\",\"Cell:CCTCTGATCATGTCTT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTGAGCTCTTCTGGC
group.by:Alpha
color:Alpha\",\"Cell:CTCAGAATCTTGAGAC
group.by:Beta
color:Beta\",\"Cell:CGTCCATCATGGTAGG
group.by:Ductal
color:Ductal\",\"Cell:TTAGTTCCATGAGCGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCTTGATCAACACGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGCAGCAGAGGTACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATCATGGGTTCTCATT
group.by:Alpha
color:Alpha\",\"Cell:CTAGCCTGTGCGATAG
group.by:Ductal
color:Ductal\",\"Cell:GTGTGCGGTCTCCACT
group.by:Alpha
color:Alpha\",\"Cell:GCATGATCATGCATGT
group.by:Beta
color:Beta\",\"Cell:TACGGTATCCCATTTA
group.by:Beta
color:Beta\",\"Cell:CCTTCGAAGCTAGGCA
group.by:Beta
color:Beta\",\"Cell:AACTGGTGTCGAGTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACCAATGTACGAAAT
group.by:Ductal
color:Ductal\",\"Cell:GTATTCTTCAGGTAAA
group.by:Ductal
color:Ductal\",\"Cell:TACCTATGTAACGTTC
group.by:Ductal
color:Ductal\",\"Cell:TCACAAGCAACGATGG
group.by:Alpha
color:Alpha\",\"Cell:CCCAGTTTCAGCACAT
group.by:Beta
color:Beta\",\"Cell:TGCCAAACATGACATC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTAAGACGTACTCTCC
group.by:Beta
color:Beta\",\"Cell:CGATGGCTCAGTGTTG
group.by:Alpha
color:Alpha\",\"Cell:CCAGCGACAGCGATCC
group.by:Ductal
color:Ductal\",\"Cell:TGAGAGGAGCCAGGAT
group.by:Epsilon
color:Epsilon\",\"Cell:AGAGCGACACAACTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTTTGCGGTCGAATCT
group.by:Beta
color:Beta\",\"Cell:TTTGGTTTCCTTTCGG
group.by:Beta
color:Beta\",\"Cell:GCCTCTAAGTCCGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGATGATCTGTCCGT
group.by:Beta
color:Beta\",\"Cell:CGCTGGACATCCTAGA
group.by:Ductal
color:Ductal\",\"Cell:GCACATATCACGGTTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CATCCACCAGATGGGT
group.by:Alpha
color:Alpha\",\"Cell:TGCCCTATCATAAAGG
group.by:Alpha
color:Alpha\",\"Cell:ACTGTCCAGGTTCCTA
group.by:Ductal
color:Ductal\",\"Cell:GCTGCTTGTCACTTCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACAGAGCAGTCAGAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATCATCTTCAGTCCCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AATCGGTGTCACACGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TACGGATAGTTTAGGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTGTGCGCAGCGATCC
group.by:Beta
color:Beta\",\"Cell:CCACGGAGTCTTGATG
group.by:Ductal
color:Ductal\",\"Cell:GGCTCGACAGCTATTG
group.by:Beta
color:Beta\",\"Cell:AGATTGCCACCAGGCT
group.by:Ductal
color:Ductal\",\"Cell:AGTGTCACACCAGGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACCAGGGTACCTACA
group.by:Ductal
color:Ductal\",\"Cell:GGCCGATTCAGAGACG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCACCTATCTAAGCCA
group.by:Alpha
color:Alpha\",\"Cell:GACTGCGGTCGCCATG
group.by:Beta
color:Beta\",\"Cell:GAATGAACAGCCTTGG
group.by:Ductal
color:Ductal\",\"Cell:CGCTGGAAGGGCATGT
group.by:Ductal
color:Ductal\",\"Cell:CTAATGGCATGGTTGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGAGGATCAATCTCT
group.by:Beta
color:Beta\",\"Cell:AGTCTTTTCGTACGGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCCCAGAGGATTCGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCAATTCATCTCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTGCGGTAGTGAATTG
group.by:Beta
color:Beta\",\"Cell:TACCTATGTCCAACTA
group.by:Delta
color:Delta\",\"Cell:TACTTGTAGACAAAGG
group.by:Beta
color:Beta\",\"Cell:GTCCTCACACCACGTG
group.by:Beta
color:Beta\",\"Cell:TAAACCGCATTCCTCG
group.by:Ductal
color:Ductal\",\"Cell:AACACGTGTCGACTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCAGCTCAGGCTATCT
group.by:Epsilon
color:Epsilon\",\"Cell:CACAGTAGTTCCTCCA
group.by:Ductal
color:Ductal\",\"Cell:TCGCGAGCACACATGT
group.by:Ductal
color:Ductal\",\"Cell:ACGGCCACACGCTTTC
group.by:Ductal
color:Ductal\",\"Cell:AGATTGCCATTCCTGC
group.by:Beta
color:Beta\",\"Cell:CTCAGAATCAGGTTCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGAGGGACAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:TACGGTATCTTTCCTC
group.by:Beta
color:Beta\",\"Cell:GATCGCGAGCGTTGCC
group.by:Delta
color:Delta\",\"Cell:CAGCGACCACAGGAGT
group.by:Ductal
color:Ductal\",\"Cell:TCTTCGGTCTGCTTGC
group.by:Alpha
color:Alpha\",\"Cell:GTCACGGCATACTACG
group.by:Beta
color:Beta\",\"Cell:AAGGCAGTCCGAGCCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGACAGATCCTGCAGG
group.by:Ductal
color:Ductal\",\"Cell:GGCAATTGTCCATCCT
group.by:Alpha
color:Alpha\",\"Cell:AACTTTCCACTGCCAG
group.by:Ductal
color:Ductal\",\"Cell:ACCAGTAGTCATGCCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATCACGAGTGCACCAC
group.by:Beta
color:Beta\",\"Cell:AACACGTGTGACTCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTGAAGTTCTGCGGCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGCGACTCACCAGGTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGGACCTAGCTGCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AATCGGTCAAACAACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGGAGCTGTACATCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATGGCGAGAGTCTGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTGTAATCGTTGACA
group.by:Alpha
color:Alpha\",\"Cell:CGATCGGAGCTGCAAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCACCTAGTACGCGA
group.by:Ductal
color:Ductal\",\"Cell:AGTGTCACATAGTAAG
group.by:Delta
color:Delta\",\"Cell:GAACGGACAAGGTGTG
group.by:Ductal
color:Ductal\",\"Cell:TTGTAGGGTTACGGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGTGAAGGTGCAAC
group.by:Beta
color:Beta\",\"Cell:CTACACCCAGGGCATA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AAGCCGCGTTATCCGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAGCCGCTCTTGCATT
group.by:Alpha
color:Alpha\",\"Cell:AACTGGTTCGTCCAGG
group.by:Epsilon
color:Epsilon\",\"Cell:AAGTCTGGTCTCCATC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGAGTGTGTAAGTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGCTATCAGGTGATAT
group.by:Beta
color:Beta\",\"Cell:AACTCTTAGCTAACAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTGTGCGGTAGTACCT
group.by:Beta
color:Beta\",\"Cell:GGGTCTGCAGCAGTTT
group.by:Epsilon
color:Epsilon\",\"Cell:CGTAGGCCAACACCCG
group.by:Alpha
color:Alpha\",\"Cell:CGAGCACTCTACCTGC
group.by:Ductal
color:Ductal\",\"Cell:CATCGAAAGATGTTAG
group.by:Ductal
color:Ductal\",\"Cell:GCAATCACAGCTGCTG
group.by:Alpha
color:Alpha\",\"Cell:AACACGTAGTAATCCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATCTAGCATCACCCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCTCGACAGCTTCGG
group.by:Beta
color:Beta\",\"Cell:TGTGGTAGTTAGAACA
group.by:Beta
color:Beta\",\"Cell:GAGCAGAAGCCAGTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCGAGGGTAAGTAGT
group.by:Epsilon
color:Epsilon\",\"Cell:GGACAGAGTCAGCTAT
group.by:Alpha
color:Alpha\",\"Cell:ACTTTCAAGGATATAC
group.by:Ductal
color:Ductal\",\"Cell:GATCAGTGTATAATGG
group.by:Ductal
color:Ductal\",\"Cell:CTTCTCTCATGCGCAC
group.by:Alpha
color:Alpha\",\"Cell:AGCGTATCAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:GTACTCCGTAGCGATG
group.by:Beta
color:Beta\",\"Cell:CTGTGCTCAGCTCCGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCTTCGATCAAGAAGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTCTTCGAGCGTGAGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGCTGGACACGGTAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAACCAAAGCGTTCCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATCAGAAGTGGTAAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGAATGTAGTTCCACA
group.by:Ductal
color:Ductal\",\"Cell:GCTGCGACAATCGGTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTATGCTTCCAGTATG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTCTTAGTCGGCGCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCTTGATCTGACCTC
group.by:Ductal
color:Ductal\",\"Cell:CCGTACTGTTCCACTC
group.by:Ductal
color:Ductal\",\"Cell:TAAACCGAGGATGGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTTACCGCAAAGTCAA
group.by:Ductal
color:Ductal\",\"Cell:CGGTTAATCGTCTGAA
group.by:Ductal
color:Ductal\",\"Cell:CTCGTCATCGGTCTAA
group.by:Ductal
color:Ductal\",\"Cell:GTTAAGCTCCGCATAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTCAGGCAATCTGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGGACGCAGCGTCTAT
group.by:Beta
color:Beta\",\"Cell:TGGACGCGTATTCGTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCACGGAAGATCCTGT
group.by:Alpha
color:Alpha\",\"Cell:CTGAAGTTCTTTAGGG
group.by:Beta
color:Beta\",\"Cell:CAGTAACCATGCCTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGTAGTCAGCGTTCCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGAGCCCACCTTGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCGTGGAGGTTCCTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGTGTTTGTATATCCG
group.by:Alpha
color:Alpha\",\"Cell:ATCATCTAGTGATCGG
group.by:Ductal
color:Ductal\",\"Cell:GACGCGTAGACGCACA
group.by:Alpha
color:Alpha\",\"Cell:CCTCAGTGTGATAAGT
group.by:Delta
color:Delta\",\"Cell:AGATTGCCACAAGCCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACGTGCTCCGGCACA
group.by:Alpha
color:Alpha\",\"Cell:TGCGTGGTCTTTACGT
group.by:Beta
color:Beta\",\"Cell:CATCAGATCATCGCTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTTGGCTCATCCCACT
group.by:Beta
color:Beta\",\"Cell:AGCATACGTCGCGAAA
group.by:Epsilon
color:Epsilon\",\"Cell:CTTAACTGTCGGGTCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTTTCTATCAACGGCC
group.by:Beta
color:Beta\",\"Cell:GAGGTGAGTGACAAAT
group.by:Ductal
color:Ductal\",\"Cell:TCTTTCCGTTATGTGC
group.by:Ductal
color:Ductal\",\"Cell:CCCAGTTAGGTGCTAG
group.by:Ductal
color:Ductal\",\"Cell:GAATGAACAATCGAAA
group.by:Ductal
color:Ductal\",\"Cell:CCTACACAGATCCGAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GATGCTACAAGCGCTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTTACAGTCTTGAGAC
group.by:Beta
color:Beta\",\"Cell:AAGACCTAGACCTTTG
group.by:Alpha
color:Alpha\",\"Cell:GACTACACATATGAGA
group.by:Ductal
color:Ductal\",\"Cell:TGTGGTAAGTGGTCCC
group.by:Beta
color:Beta\",\"Cell:CGTTAGATCAGTCAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTGCTTCTCCAAACTG
group.by:Ductal
color:Ductal\",\"Cell:GATGAGGAGAAACCTA
group.by:Beta
color:Beta\",\"Cell:GAAATGATCTTCAACT
group.by:Beta
color:Beta\",\"Cell:GCTCCTAGTCGGGTCT
group.by:Ductal
color:Ductal\",\"Cell:ATCCACCTCATGCAAC
group.by:Alpha
color:Alpha\",\"Cell:CGACCTTCACACAGAG
group.by:Beta
color:Beta\",\"Cell:GCGCAGTGTACGCACC
group.by:Beta
color:Beta\",\"Cell:GCACTCTTCCGGCACA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTACTCCTCTCTTATG
group.by:Alpha
color:Alpha\",\"Cell:CACATAGTCATTGCGA
group.by:Beta
color:Beta\",\"Cell:CTGAAACGTATGGTTC
group.by:Delta
color:Delta\",\"Cell:CGTGAGCAGTCTCAAC
group.by:Ductal
color:Ductal\",\"Cell:CCTTTCTTCTTCGAGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTGAAACGTAGCGCAA
group.by:Beta
color:Beta\",\"Cell:TTGGAACGTCCGTTAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATTATCAGCTCCCAG
group.by:Delta
color:Delta\",\"Cell:CGGAGTCCATAACCTG
group.by:Alpha
color:Alpha\",\"Cell:GTGCAGCTCGTTTATC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGCCAGGTTCTGAAC
group.by:Ductal
color:Ductal\",\"Cell:CAACCTCAGCGTGAAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AACTGGTGTACCGTTA
group.by:Delta
color:Delta\",\"Cell:CGATTGAAGTTAGCGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGCGTGTCACCAGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGACGTCCAGTATCTG
group.by:Ductal
color:Ductal\",\"Cell:TTCGGTCAGGTCGGAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTAGGACAGGTCATCT
group.by:Alpha
color:Alpha\",\"Cell:CAAGGCCTCGTACCGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TAAGCGTCAATGCCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCAAACTTCGGAATCT
group.by:Alpha
color:Alpha\",\"Cell:TGACTAGCACGGTGTC
group.by:Ductal
color:Ductal\",\"Cell:GGGACCTGTTGGACCC
group.by:Epsilon
color:Epsilon\",\"Cell:CTCGAGGTCAACTCTT
group.by:Ductal
color:Ductal\",\"Cell:GAATGAATCATCGGAT
group.by:Beta
color:Beta\",\"Cell:TGGTTAGCAGTCGTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCTAATAGTTATCGC
group.by:Alpha
color:Alpha\",\"Cell:AACTCTTAGCTGCGAA
group.by:Ductal
color:Ductal\",\"Cell:GGGCACTTCACGAAGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTGTCTGTAGTGAAT
group.by:Ductal
color:Ductal\",\"Cell:GGGTTGCTCCCAGGTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATCCGAACACGGTAGA
group.by:Ductal
color:Ductal\",\"Cell:TTCTCAATCACTCCTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGATGTCCCTAACC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGTCTTTGTCTAAACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCGCGAGTCGACGGAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAATGCCAGACTAAGT
group.by:Beta
color:Beta\",\"Cell:TACGGGCAGATTACCC
group.by:Ductal
color:Ductal\",\"Cell:AACTCTTCATTTGCCC
group.by:Beta
color:Beta\",\"Cell:CAGCTGGTCGCCGTGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACATAGAGGGAAACA
group.by:Alpha
color:Alpha\",\"Cell:ACAGCCGCATCGTCGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCGCAGTGTCCTAGCG
group.by:Ductal
color:Ductal\",\"Cell:AAGGCAGCAGTACACT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGGTTCCTCAACCATG
group.by:Alpha
color:Alpha\",\"Cell:GTGTTAGAGTTTCCTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTTCTCTAGTACTTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACATTTGTATAGTAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTGCATAAGAATGTTG
group.by:Ductal
color:Ductal\",\"Cell:GGACATTAGAAACCAT
group.by:Ductal
color:Ductal\",\"Cell:TCTCTAAGTGGCAAAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGATACTCGCGCCAA
group.by:Alpha
color:Alpha\",\"Cell:GAATAAGCACGAAATA
group.by:Beta
color:Beta\",\"Cell:CATGACACATCCGCGA
group.by:Ductal
color:Ductal\",\"Cell:ACGGGTCAGGGTGTTG
group.by:Ductal
color:Ductal\",\"Cell:GATCAGTTCGGCGCAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ACTGTCCGTGCGATAG
group.by:Ductal
color:Ductal\",\"Cell:CGTTGGGGTTTAAGCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACTCAGTCTGGTTCC
group.by:Ductal
color:Ductal\",\"Cell:TAAGCGTAGATCGATA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTTCTGTCACAATGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGACCTGTCAGCTAT
group.by:Alpha
color:Alpha\",\"Cell:ATGCGATAGAAACGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TATGCCCTCTTCCTTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCACCTATCGGAAACG
group.by:Alpha
color:Alpha\",\"Cell:CGATGGCCAACTGGCC
group.by:Beta
color:Beta\",\"Cell:CAGCCGAGTAGCCTAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGAAAGTGGTGTAG
group.by:Alpha
color:Alpha\",\"Cell:TGCGGGTTCTCAAACG
group.by:Ductal
color:Ductal\",\"Cell:TACGGATTCCAAGTAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTTGCGCAGCAACGGT
group.by:Alpha
color:Alpha\",\"Cell:CCTACACCATTATCTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTGAAACTCTGTTTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCATGTCTCCGCATAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGCCGAAGTAGGTGC
group.by:Ductal
color:Ductal\",\"Cell:TGACGGCGTCAGGACA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGATGCACATGACT
group.by:Beta
color:Beta\",\"Cell:ATCATCTGTAGGACAC
group.by:Delta
color:Delta\",\"Cell:ATCTGCCGTCATATGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TACACGAAGATCCCAT
group.by:Alpha
color:Alpha\",\"Cell:CATCCACGTTACGACT
group.by:Beta
color:Beta\",\"Cell:AGATCTGCACCAGGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCAGCCGTCGAACAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTGCAGCAATCCAAC
group.by:Ductal
color:Ductal\",\"Cell:GGGCACTCAATGAAAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTGCTTCTCACGACTA
group.by:Beta
color:Beta\",\"Cell:GATCGTACAGGCGATA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGCGAAGAACAACT
group.by:Alpha
color:Alpha\",\"Cell:CTACACCCATCAGTCA
group.by:Beta
color:Beta\",\"Cell:AACACGTGTCGGCTCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGCTTCATCAGTTCGA
group.by:Ductal
color:Ductal\",\"Cell:ATAGACCAGTGATCGG
group.by:Alpha
color:Alpha\",\"Cell:GACACGCAGTATGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGGGTCCATGATCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTCTACTCAGTCCCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTATGCTCACTACAGT
group.by:Beta
color:Beta\",\"Cell:GATCAGTTCCCGGATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATCTAGGTGCCTTGG
group.by:Ductal
color:Ductal\",\"Cell:AAAGTAGGTCAGATAA
group.by:Beta
color:Beta\",\"Cell:CTCGTACGTTGGTTTG
group.by:Alpha
color:Alpha\",\"Cell:TTGGCAATCGAACGGA
group.by:Ductal
color:Ductal\",\"Cell:CATCGAAGTTACGCGC
group.by:Ductal
color:Ductal\",\"Cell:ACGCAGCGTCAACTGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTCAAGTCAAAGTGCG
group.by:Ductal
color:Ductal\",\"Cell:GAAGCAGGTCTAGAGG
group.by:Epsilon
color:Epsilon\",\"Cell:CCCAGTTGTGCGCTTG
group.by:Beta
color:Beta\",\"Cell:ATTCTACGTTTAGGAA
group.by:Beta
color:Beta\",\"Cell:GGGAATGCACATTTCT
group.by:Ductal
color:Ductal\",\"Cell:CCTTCGATCCTGCTTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAGCTAAAGAGCCCAA
group.by:Ductal
color:Ductal\",\"Cell:GTGCAGCGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:AACGTTGCATGGGACA
group.by:Ductal
color:Ductal\",\"Cell:TGTGTTTTCATTCACT
group.by:Alpha
color:Alpha\",\"Cell:GATGCTATCCCTCTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCGCGAGTCAACGCTA
group.by:Ductal
color:Ductal\",\"Cell:TTAACTCCACGCCAGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTGCGGTTCTGATTCT
group.by:Beta
color:Beta\",\"Cell:GCTGGGTCACGAGGTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCTATTGGTCTAGCCG
group.by:Beta
color:Beta\",\"Cell:TCACGAACAGGCGATA
group.by:Alpha
color:Alpha\",\"Cell:CGAACATTCACAAACC
group.by:Ductal
color:Ductal\",\"Cell:TCTATTGTCACATAGC
group.by:Ductal
color:Ductal\",\"Cell:ACTTTCAAGACACTAA
group.by:Alpha
color:Alpha\",\"Cell:GCGAGAAGTGGGTATG
group.by:Alpha
color:Alpha\",\"Cell:TTCTCAAAGTACGCGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGAGGTCTGTTGAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACATACGAGCTATGCT
group.by:Alpha
color:Alpha\",\"Cell:ACGATACAGTCATCCA
group.by:Epsilon
color:Epsilon\",\"Cell:ACGCAGCGTTCATGGT
group.by:Epsilon
color:Epsilon\",\"Cell:TTAACTCCACGAGAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGGCTAGAGGCACATG
group.by:Beta
color:Beta\",\"Cell:TGAGCATTCGGGAGTA
group.by:Ductal
color:Ductal\",\"Cell:CTCGAAATCGCAAACT
group.by:Alpha
color:Alpha\",\"Cell:TTAGGCAGTTAAGAAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTGTAGGCATACTCTT
group.by:Ductal
color:Ductal\",\"Cell:GTAACGTGTCACTGGC
group.by:Ductal
color:Ductal\",\"Cell:AATCGGTCATATGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGTGCGTGTCCGAGTC
group.by:Ductal
color:Ductal\",\"Cell:AACACGTTCCGCGCAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCTTCCCCAAAGTGCG
group.by:Ductal
color:Ductal\",\"Cell:GTAACTGAGCCGGTAA
group.by:Beta
color:Beta\",\"Cell:AGCATACCAATGCCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATCAAGGTGGTCTCG
group.by:Beta
color:Beta\",\"Cell:AGTCTTTGTCTCGTTC
group.by:Alpha
color:Alpha\",\"Cell:CTGATAGAGCTCAACT
group.by:Ductal
color:Ductal\",\"Cell:TCTTTCCTCGTCTGCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCTTCGATCTCCAACC
group.by:Beta
color:Beta\",\"Cell:GAGGTGAGTCCGAGTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTGTAACATGGTCTA
group.by:Beta
color:Beta\",\"Cell:GTTCATTAGGGTCTCC
group.by:Ductal
color:Ductal\",\"Cell:GCGACCATCACCAGGC
group.by:Alpha
color:Alpha\",\"Cell:GTACTTTCATGGTCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAGCAAAGCGATGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCACAAGTCTGGTTCC
group.by:Alpha
color:Alpha\",\"Cell:TAGACCATCTTATCTG
group.by:Alpha
color:Alpha\",\"Cell:AGACGTTAGCCGATTT
group.by:Alpha
color:Alpha\",\"Cell:GAACCTACAGCGATCC
group.by:Alpha
color:Alpha\",\"Cell:CCAATCCAGAGTAAGG
group.by:Ductal
color:Ductal\",\"Cell:AAACGGGGTACAGTTC
group.by:Beta
color:Beta\",\"Cell:CAGGTGCGTACAAGTA
group.by:Beta
color:Beta\",\"Cell:GCTCCTATCTCACATT
group.by:Ductal
color:Ductal\",\"Cell:TATCAGGCACCAGTTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCTACCCATAAGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATTCAGAGTACGTTC
group.by:Alpha
color:Alpha\",\"Cell:CGGACTGCATCCCATC
group.by:Beta
color:Beta\",\"Cell:GCGCCAACACCTCGGA
group.by:Beta
color:Beta\",\"Cell:AGGTCATTCTGCGTAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTACCCAGTCAAACTC
group.by:Ductal
color:Ductal\",\"Cell:TGGCCAGAGCTACCTA
group.by:Ductal
color:Ductal\",\"Cell:TGTCCCACACGGTAGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATGTGTGAGGAATTAC
group.by:Epsilon
color:Epsilon\",\"Cell:TACAGTGAGCGTTTAC
group.by:Epsilon
color:Epsilon\",\"Cell:CGATTGAAGTCTTGCA
group.by:Ductal
color:Ductal\",\"Cell:TTCGGTCGTCACAAGG
group.by:Ductal
color:Ductal\",\"Cell:GTCTCGTCACGTGAGA
group.by:Ductal
color:Ductal\",\"Cell:CTTCTCTCAGCATACT
group.by:Beta
color:Beta\",\"Cell:GCTTGAACATTTGCTT
group.by:Alpha
color:Alpha\",\"Cell:AGAGCTTGTTAAAGAC
group.by:Ductal
color:Ductal\",\"Cell:GCTCTGTTCGCTTAGA
group.by:Ductal
color:Ductal\",\"Cell:GATCAGTAGGTTCCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTACTTTAGATATGCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATGTGTGTCAAAGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAGATGGTAGATTAG
group.by:Beta
color:Beta\",\"Cell:TGTCCCAAGTTTAGGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTGATCCTCAGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:CTAAGACTCACTCCTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACAGTATCTTAGAGC
group.by:Ductal
color:Ductal\",\"Cell:CACACCTCATTGTGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTAGGCAGTAGCGTAG
group.by:Ductal
color:Ductal\",\"Cell:ACTGAACAGTACATGA
group.by:Ductal
color:Ductal\",\"Cell:TATTACCAGATGGGTC
group.by:Alpha
color:Alpha\",\"Cell:GGAAAGCGTACGCACC
group.by:Ductal
color:Ductal\",\"Cell:GGGCATCCATTTCAGG
group.by:Alpha
color:Alpha\",\"Cell:CCCTCCTGTCTAACGT
group.by:Ductal
color:Ductal\",\"Cell:TTAGGCAGTGTGAATA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCGGTAACAGGGTACA
group.by:Alpha
color:Alpha\",\"Cell:AGGGAGTCACCGAATT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTGGGTCGTAGGAGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GAACGGAAGACGCTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGCTTGTCTTCAAG
group.by:Ductal
color:Ductal\",\"Cell:ATAAGAGTCCACGTTC
group.by:Ductal
color:Ductal\",\"Cell:GATCGTAAGTAGGTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCGTGGAGGTAAACT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CACCACTGTCGGCTCA
group.by:Ductal
color:Ductal\",\"Cell:ACGAGCCCACTCTGTC
group.by:Ductal
color:Ductal\",\"Cell:GCATGTATCACGATGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTAGGACAGATGGGTC
group.by:Alpha
color:Alpha\",\"Cell:CGCGTTTGTATTACCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGCTCAGGTGTTAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGCAGCATTCTCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACAGTATCAGAGGTG
group.by:Ductal
color:Ductal\",\"Cell:TTCGAAGTCAACGCTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGGACGCAGATTACCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTGAACGGTGATGCCC
group.by:Ductal
color:Ductal\",\"Cell:ATCATGGTCCAGAGGA
group.by:Ductal
color:Ductal\",\"Cell:AGCTTGACAGTAAGAT
group.by:Ductal
color:Ductal\",\"Cell:CATCGAAGTAGCGTCC
group.by:Beta
color:Beta\",\"Cell:TGGACGCTCTTGTTTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGAGTGGGTCACCTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTCAGGCAAACGCGA
group.by:Alpha
color:Alpha\",\"Cell:CGTCACTGTCAGGACA
group.by:Ductal
color:Ductal\",\"Cell:GCGACCACACGTTGGC
group.by:Alpha
color:Alpha\",\"Cell:CCATGTCGTTTGCATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCCAAAAGCGCTTAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACTCAGAGGTAGCCA
group.by:Alpha
color:Alpha\",\"Cell:ACAGCCGAGAGAACAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGGAGCTGTTCTGAAC
group.by:Ductal
color:Ductal\",\"Cell:CAACTAGAGCTTCGCG
group.by:Ductal
color:Ductal\",\"Cell:CGGACTGCAGCCAATT
group.by:Beta
color:Beta\",\"Cell:GACCAATAGCCGGTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGACGTCGTCAGAAGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGTCCGAGTTACCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGAAAGCGTCTTGATG
group.by:Ductal
color:Ductal\",\"Cell:CCGGGATGTACCGCTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CATCCACAGTCACGCC
group.by:Ductal
color:Ductal\",\"Cell:CGCTATCCAGGCAGTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAGGTACACTGTCGG
group.by:Ductal
color:Ductal\",\"Cell:GGCGTGTTCTCGTATT
group.by:Beta
color:Beta\",\"Cell:CGGACGTAGACAGACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGTTGGTTCACATAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTGGGTCGTCCAGTAT
group.by:Alpha
color:Alpha\",\"Cell:TATGCCCAGGGTATCG
group.by:Beta
color:Beta\",\"Cell:GGGCATCCATGACATC
group.by:Ductal
color:Ductal\",\"Cell:AGAGTGGCACCTCGGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACCCACTTCTGAGGGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TATTACCTCGTTGCCT
group.by:Alpha
color:Alpha\",\"Cell:ACGATGTTCGCAGGCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGACAACTCGCACTCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACGCGTCATTTCAGG
group.by:Ductal
color:Ductal\",\"Cell:CATATGGTCAACACAC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGTGGGAGTGGTCCGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ATTGGTGTCCAGTATG
group.by:Ductal
color:Ductal\",\"Cell:GATGCTAAGCGATAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGCACTTCTAACTGG
group.by:Ductal
color:Ductal\",\"Cell:TTCTCAACAGTTTACG
group.by:Ductal
color:Ductal\",\"Cell:TCACAAGAGCATGGCA
group.by:Alpha
color:Alpha\",\"Cell:GGAATAACACGACGAA
group.by:Ductal
color:Ductal\",\"Cell:GGGAGATGTTAAAGAC
group.by:Epsilon
color:Epsilon\",\"Cell:AACTTTCGTGACCAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGAGAAGCACTTACGA
group.by:Beta
color:Beta\",\"Cell:AACTCCCAGTACGACG
group.by:Beta
color:Beta\",\"Cell:CGTTAGAAGTATCTCG
group.by:Ductal
color:Ductal\",\"Cell:CCTATTACAAACGTGG
group.by:Ductal
color:Ductal\",\"Cell:GCTGCTTAGATCTGCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCATTCGCAAGCCATT
group.by:Beta
color:Beta\",\"Cell:GTATCTTGTACTCAAC
group.by:Alpha
color:Alpha\",\"Cell:TGCTACCCAGGGCATA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGAACTTAGGTTACCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGATTGCAGCTAGTCT
group.by:Ductal
color:Ductal\",\"Cell:TTAGGACGTTCAGTAC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGGCGCATCACATAGC
group.by:Beta
color:Beta\",\"Cell:CTTTGCGAGGAATGGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ATTATCCCAACTGCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGGCCACCAACTGCGC
group.by:Alpha
color:Alpha\",\"Cell:AAACGGGCAAAGAATC
group.by:Beta
color:Beta\",\"Cell:AGTCTTTAGTCTCGGC
group.by:Alpha
color:Alpha\",\"Cell:TCTGGAAGTCATCGGC
group.by:Beta
color:Beta\",\"Cell:AAATGCCCACCAACCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATTCGCTCGCTTGTC
group.by:Alpha
color:Alpha\",\"Cell:GGTGTTACACCTCGGA
group.by:Epsilon
color:Epsilon\",\"Cell:CTCGAGGCAAGTCTGT
group.by:Alpha
color:Alpha\",\"Cell:CGGACTGTCGGACAAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACCAGTAGTTCGTTGA
group.by:Beta
color:Beta\",\"Cell:CGTCACTCATAGTAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TTTGGTTCAAATTGCC
group.by:Beta
color:Beta\",\"Cell:ATTGGTGGTACTTGAC
group.by:Ductal
color:Ductal\",\"Cell:GCCTCTAAGAGTTGGC
group.by:Beta
color:Beta\",\"Cell:CGGCTAGGTAACGACG
group.by:Beta
color:Beta\",\"Cell:AAAGATGAGTCATGCT
group.by:Beta
color:Beta\",\"Cell:GTACTCCCACGTCTCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TTGAACGAGGAATCGC
group.by:Alpha
color:Alpha\",\"Cell:TGAGCCGTCGATAGAA
group.by:Beta
color:Beta\",\"Cell:CTCTAATTCAGCGACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TATGCCCAGAACAATC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACCATGGTTGAACTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGCATAGTAATAGCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGAGTTCCTCAATT
group.by:Beta
color:Beta\",\"Cell:CTCAGAATCTGGCGAC
group.by:Ductal
color:Ductal\",\"Cell:ATCACGATCACGGTTA
group.by:Beta
color:Beta\",\"Cell:GAGCAGAGTTTGCATG
group.by:Beta
color:Beta\",\"Cell:TGCACCTAGATAGTCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGCCGAAGTGACTCT
group.by:Ductal
color:Ductal\",\"Cell:GAATGAATCTGGTATG
group.by:Ductal
color:Ductal\",\"Cell:AGCTCCTAGTACACCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CATGCCTAGCGATGAC
group.by:Ductal
color:Ductal\",\"Cell:TCCACACTCACGATGT
group.by:Beta
color:Beta\",\"Cell:TCAGATGCACGACGAA
group.by:Delta
color:Delta\",\"Cell:CAGCTGGGTCTAACGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCAGAATCAACACTG
group.by:Ductal
color:Ductal\",\"Cell:CTTAGGACATCTATGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGAGCGAAGTAGATGT
group.by:Ductal
color:Ductal\",\"Cell:ATCTACTGTGAACCTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGATGTAGTGGTACAG
group.by:Beta
color:Beta\",\"Cell:CTAGCCTGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:TCTGAGATCTGAGTGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AACTGGTTCGTGACAT
group.by:Ductal
color:Ductal\",\"Cell:AGATTGCTCCATGAGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAGCTAAGTACCGAGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTGAGTGTTTCGCTC
group.by:Ductal
color:Ductal\",\"Cell:AGAGCGATCTCTTGAT
group.by:Ductal
color:Ductal\",\"Cell:GAAGCAGTCAAGGCTT
group.by:Ductal
color:Ductal\",\"Cell:GTCGTAAAGGTGATTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACACTCAGGCGCTCT
group.by:Ductal
color:Ductal\",\"Cell:TGGGAAGGTCATGCAT
group.by:Beta
color:Beta\",\"Cell:CGCGGTACATTAGGCT
group.by:Alpha
color:Alpha\",\"Cell:GAATGAAAGAATGTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATGCCTGTTCGTCTC
group.by:Beta
color:Beta\",\"Cell:CTGGTCTTCGTTACAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCTCTAAAGCTGGAAC
group.by:Beta
color:Beta\",\"Cell:CGGTTAAAGTAGCGGT
group.by:Delta
color:Delta\",\"Cell:GAACGGAAGGAGCGAG
group.by:Beta
color:Beta\",\"Cell:CCTTACGCAAGGTGTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGGCCACCACGAAGCA
group.by:Epsilon
color:Epsilon\",\"Cell:CAACCTCGTCTAAACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCGGTCGTACCGAGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGTCATCTTCTGGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGCGTGGCAGTATAAG
group.by:Alpha
color:Alpha\",\"Cell:GGCCGATGTCAAACTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCTACAGTGTTGAGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AAAGTAGAGCGCCTTG
group.by:Beta
color:Beta\",\"Cell:GATCGATCAGTCGATT
group.by:Alpha
color:Alpha\",\"Cell:TTGGCAACATCATCCC
group.by:Epsilon
color:Epsilon\",\"Cell:TTTATGCTCCATTCTA
group.by:Ductal
color:Ductal\",\"Cell:AACTTTCAGGCATTGG
group.by:Beta
color:Beta\",\"Cell:GCCTCTAGTGACTACT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGGGTCAGATGGCGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TACGGTAGTGTGCCTG
group.by:Beta
color:Beta\",\"Cell:ACTGCTCAGATATGCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGCGTGTTCGTGGGAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAGCCGCAGGAGTTGC
group.by:Beta
color:Beta\",\"Cell:CTGAAACAGGAGTAGA
group.by:Alpha
color:Alpha\",\"Cell:CATGGCGAGCCCTAAT
group.by:Beta
color:Beta\",\"Cell:ACATGGTCAAGGACTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGCGTGTGTCCGACGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GACGTGCTCCTCTAGC
group.by:Ductal
color:Ductal\",\"Cell:TTAACTCCAAAGAATC
group.by:Ductal
color:Ductal\",\"Cell:GCTCTGTAGCCACCTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATGTGTGCATGGGACA
group.by:Alpha
color:Alpha\",\"Cell:CGTGAGCTCACAGGCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTGAACGTCATCGATG
group.by:Beta
color:Beta\",\"Cell:AAGACCTAGGTGTGGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAGGTACACGGCCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTGTAATCCATGCTC
group.by:Ductal
color:Ductal\",\"Cell:ACTGATGCATCAGTAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGATGAAGGGCATGT
group.by:Alpha
color:Alpha\",\"Cell:CTCGTACGTTCCGTCT
group.by:Ductal
color:Ductal\",\"Cell:ACGAGGACATGGTTGT
group.by:Alpha
color:Alpha\",\"Cell:ATCTGCCGTCAGAAGC
group.by:Alpha
color:Alpha\",\"Cell:CGTTCTGAGAGCAATT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACACAACACACTGCG
group.by:Ductal
color:Ductal\",\"Cell:TAGGCATTCGTTGCCT
group.by:Beta
color:Beta\",\"Cell:TCTCTAATCAAAGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACACCCTGTCAGATAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGATCTGTCGATCCCT
group.by:Beta
color:Beta\",\"Cell:TCTGAGATCTTGCAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGACTAGCAAAGGTGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TAGAGCTTCTCGCTTG
group.by:Alpha
color:Alpha\",\"Cell:CTACGTCAGTCTCGGC
group.by:Beta
color:Beta\",\"Cell:CATCCACTCTTCTGGC
group.by:Ductal
color:Ductal\",\"Cell:TCTCATACAGATCTGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CACACCTCACTGCCAG
group.by:Alpha
color:Alpha\",\"Cell:CTCGTACCAATGGATA
group.by:Ductal
color:Ductal\",\"Cell:ACACCAAAGTAGGCCA
group.by:Beta
color:Beta\",\"Cell:TACACGAGTGCAACTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTGCGAAGTATTGGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGACGTTTCGAGCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGAGAGGTGTGAATA
group.by:Epsilon
color:Epsilon\",\"Cell:GCACTCTGTCTGCAAT
group.by:Beta
color:Beta\",\"Cell:TGTGGTACAAGACGTG
group.by:Ductal
color:Ductal\",\"Cell:AGGCCGTCACGACGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TATGCCCTCTTACCTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AATCGGTCATGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:AGTCTTTCACGGACAA
group.by:Alpha
color:Alpha\",\"Cell:GTCGGGTGTGCAACTT
group.by:Alpha
color:Alpha\",\"Cell:TCTGAGATCGTAGGTT
group.by:Ductal
color:Ductal\",\"Cell:CGTCTACGTTTCCACC
group.by:Beta
color:Beta\",\"Cell:CCTAGCTCAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:AGCTCTCAGACATAAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCGAGGAGTGGAGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTGATAGTCGGCTACG
group.by:Ductal
color:Ductal\",\"Cell:TTGTAGGGTTGTTTGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGAGCACGTCCATCCT
group.by:Ductal
color:Ductal\",\"Cell:CATGACAGTCATGCAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCGGAGAGAATGTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GACCAATAGAATGTGT
group.by:Beta
color:Beta\",\"Cell:CAGCGACCATATGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCTGCTGTCCGTCAG
group.by:Ductal
color:Ductal\",\"Cell:TCAGATGCACTCGACG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TATCAGGGTCGAATCT
group.by:Ductal
color:Ductal\",\"Cell:GGGAATGGTCGGCTCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TAGTTGGAGTCAAGCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TACCTATTCGTTACGA
group.by:Beta
color:Beta\",\"Cell:CGTCACTCAAAGGTGC
group.by:Ductal
color:Ductal\",\"Cell:TGAGGGAAGCCGGTAA
group.by:Beta
color:Beta\",\"Cell:CGTGTCTTCCTTTCGG
group.by:Ductal
color:Ductal\",\"Cell:TGATTTCAGTGGAGTC
group.by:Beta
color:Beta\",\"Cell:CTAACTTAGATCACGG
group.by:Beta
color:Beta\",\"Cell:CATCAGAGTCCGAATT
group.by:Ductal
color:Ductal\",\"Cell:GAAATGATCGTCCGTT
group.by:Alpha
color:Alpha\",\"Cell:TGCGGGTTCCACTCCA
group.by:Epsilon
color:Epsilon\",\"Cell:GTTCGGGAGGCAATTA
group.by:Alpha
color:Alpha\",\"Cell:GCGCCAATCGGACAAG
group.by:Ductal
color:Ductal\",\"Cell:AGTGGGATCAACTCTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGACTTCGTTGATTCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATCAGTGTAACGACG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGAGCCGTCTCTGAGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTTGCGCTCTTCCTTC
group.by:Epsilon
color:Epsilon\",\"Cell:ACTGATGGTTCCTCCA
group.by:Alpha
color:Alpha\",\"Cell:AAGGAGCAGTACATGA
group.by:Alpha
color:Alpha\",\"Cell:CAGCTAAAGCGCTTAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TACTTACGTGTGGCTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATGCGATTCGCGTAGC
group.by:Alpha
color:Alpha\",\"Cell:ATTGGACAGTCAAGGC
group.by:Ductal
color:Ductal\",\"Cell:ACGCCAGTCCGCTGTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCGGGTAGACGCACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATGAGGGGTTCTGGTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGACCTTAGCTGCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTAACGTGTGCCTGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTCTGTAGCTGAACG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTATTCTAGGTGCTTT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCTGGAATCGGTGTCG
group.by:Ductal
color:Ductal\",\"Cell:GACGTTAAGACGCAAC
group.by:Ductal
color:Ductal\",\"Cell:AGGCCGTAGAGGACGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ATGAGGGCAAGGTTTC
group.by:Beta
color:Beta\",\"Cell:GTGCGGTCAAAGCAAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATCGGGTCATTTGGG
group.by:Alpha
color:Alpha\",\"Cell:ACATACGGTAAACACA
group.by:Beta
color:Beta\",\"Cell:CTGCTGTGTTATCACG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TAGAGCTAGTGCCATT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCACGGAGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:CCATTCGCATGAAGTA
group.by:Ductal
color:Ductal\",\"Cell:CATTCGCTCTGCTGCT
group.by:Alpha
color:Alpha\",\"Cell:ACGATGTTCTGCTGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCGCAGTCACCATCCT
group.by:Ductal
color:Ductal\",\"Cell:TAGTTGGGTACCGTAT
group.by:Ductal
color:Ductal\",\"Cell:GCGCAACCAACACCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCAGCGAGTACCGTAT
group.by:Alpha
color:Alpha\",\"Cell:AGCGTATCATCTCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AATCGGTTCCAAACTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGCAGCCATTCTCAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GAATGAATCCTGTAGA
group.by:Beta
color:Beta\",\"Cell:GGAAAGCTCTCGGACG
group.by:Ductal
color:Ductal\",\"Cell:ACTGATGGTCCGACGT
group.by:Beta
color:Beta\",\"Cell:GTAACGTCAGCCTATA
group.by:Beta
color:Beta\",\"Cell:GGGAGATAGCGTTCCG
group.by:Beta
color:Beta\",\"Cell:TACGGATTCTAACTCT
group.by:Beta
color:Beta\",\"Cell:GAAATGACATCTACGA
group.by:Alpha
color:Alpha\",\"Cell:GTGTGCGTCTCTGAGA
group.by:Ductal
color:Ductal\",\"Cell:TCTCATAGTTACCAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGTCAACACGGTGTC
group.by:Ductal
color:Ductal\",\"Cell:ACTGATGTCTAGAGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGTATTCCAATGACCT
group.by:Ductal
color:Ductal\",\"Cell:AGGGAGTAGCTAGCCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCACTACAGAGCTGGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGCAATTTCCGAATGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATCGTAGTCCTAGCG
group.by:Ductal
color:Ductal\",\"Cell:TGAGCATCAAGCCGCT
group.by:Alpha
color:Alpha\",\"Cell:AACTGGTGTACAGTGG
group.by:Ductal
color:Ductal\",\"Cell:TGTGTTTAGCAGGCTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCACTACGTTAAGAAC
group.by:Alpha
color:Alpha\",\"Cell:GGAAAGCAGGCATGGT
group.by:Beta
color:Beta\",\"Cell:ACAGCTATCGAGCCCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCGAAAGTAAAGTCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TAAACCGAGTCGTACT
group.by:Ductal
color:Ductal\",\"Cell:CTCGGAGTCATCGCTC
group.by:Beta
color:Beta\",\"Cell:CACCACTCACGAAATA
group.by:Alpha
color:Alpha\",\"Cell:CGTAGGCTCGCGCCAA
group.by:Ductal
color:Ductal\",\"Cell:TCGCGTTTCTCTGCTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGACAAGTCCGCGGTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGTTCTGAGCCCAGCT
group.by:Beta
color:Beta\",\"Cell:TCACGAATCCTATGTT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ACGCAGCGTGGCTCCA
group.by:Beta
color:Beta\",\"Cell:ACAGCTATCAAGGCTT
group.by:Alpha
color:Alpha\",\"Cell:ATAACGCAGCGTGAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATTCTACTCAGGTAAA
group.by:Ductal
color:Ductal\",\"Cell:CTGATCCCAAGCGTAG
group.by:Ductal
color:Ductal\",\"Cell:TCTTCGGTCTGGCGTG
group.by:Delta
color:Delta\",\"Cell:TGCCCTAAGTCCGGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGGAATGAGGAGCGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACAGGCTCAAGATCC
group.by:Beta
color:Beta\",\"Cell:ACGAGCCAGTTCGCAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGGGTTCGCCATAA
group.by:Beta
color:Beta\",\"Cell:CCACTACAGAGTACCG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGCCTAAAGCCCAACC
group.by:Ductal
color:Ductal\",\"Cell:AAGGCAGGTCTAGCCG
group.by:Alpha
color:Alpha\",\"Cell:AGTGGGACAGTATCTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAACCAATCGGGAGTA
group.by:Ductal
color:Ductal\",\"Cell:TGTCCCATCTTGACGA
group.by:Ductal
color:Ductal\",\"Cell:CGTCCATCAGTCGTGC
group.by:Beta
color:Beta\",\"Cell:GTTTCTAGTCCTCTTG
group.by:Alpha
color:Alpha\",\"Cell:GCACATACATTACGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATGGGAGTCGGTTCGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ATAAGAGTCCGAACGC
group.by:Ductal
color:Ductal\",\"Cell:ACGCCGAAGCTTCGCG
group.by:Alpha
color:Alpha\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"color\":[\"Ductal\",\"Pre-endocrine\",\"Ngn3 low EP\",\"Beta\",\"Ductal\",\"Ductal\",\"Ngn3 high EP\",\"Beta\",\"Beta\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Alpha\",\"Ductal\",\"Ngn3 low EP\",\"Beta\",\"Ngn3 high EP\",\"Ductal\",\"Epsilon\",\"Delta\",\"Beta\",\"Epsilon\",\"Beta\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Alpha\",\"Beta\",\"Epsilon\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Pre-endocrine\",\"Epsilon\",\"Beta\",\"Ngn3 high EP\",\"Ngn3 low EP\",\"Beta\",\"Beta\",\"Beta\",\"Ductal\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Alpha\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Beta\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Beta\",\"Alpha\",\"Beta\",\"Beta\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Alpha\",\"Beta\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Ductal\",\"Ngn3 low EP\",\"Beta\",\"Alpha\",\"Alpha\",\"Ductal\",\"Ngn3 high EP\",\"Beta\",\"Ngn3 high EP\",\"Alpha\",\"Alpha\",\"Ductal\",\"Ngn3 high EP\",\"Beta\",\"Ngn3 low EP\",\"Ductal\",\"Alpha\",\"Pre-endocrine\",\"Epsilon\",\"Epsilon\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ductal\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Delta\",\"Ductal\",\"Alpha\",\"Ductal\",\"Beta\",\"Beta\",\"Beta\",\"Ngn3 high EP\",\"Beta\",\"Ductal\",\"Ductal\",\"Alpha\",\"Epsilon\",\"Pre-endocrine\",\"Ductal\",\"Pre-endocrine\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Alpha\",\"Ductal\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Beta\",\"Pre-endocrine\",\"Ductal\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ductal\",\"Beta\",\"Ngn3 low EP\",\"Delta\",\"Beta\",\"Ngn3 low EP\",\"Ngn3 low EP\",\"Beta\",\"Ductal\",\"Ductal\",\"Pre-endocrine\",\"Beta\",\"Ngn3 low EP\",\"Epsilon\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ductal\",\"Delta\",\"Ductal\",\"Ngn3 low EP\",\"Ductal\",\"Ductal\",\"Alpha\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Beta\",\"Ngn3 high EP\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Delta\",\"Pre-endocrine\",\"Pre-endocrine\",\"Alpha\",\"Beta\",\"Alpha\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Alpha\",\"Beta\",\"Pre-endocrine\",\"Alpha\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Epsilon\",\"Alpha\",\"Ngn3 high EP\",\"Ductal\",\"Alpha\",\"Beta\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Alpha\",\"Alpha\",\"Alpha\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Beta\",\"Ductal\",\"Beta\",\"Alpha\",\"Alpha\",\"Epsilon\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Beta\",\"Ngn3 high EP\",\"Beta\",\"Beta\",\"Alpha\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Beta\",\"Epsilon\",\"Epsilon\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 low EP\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Alpha\",\"Ngn3 high EP\",\"Beta\",\"Beta\",\"Ngn3 high EP\",\"Ductal\",\"Alpha\",\"Alpha\",\"Beta\",\"Pre-endocrine\",\"Beta\",\"Ngn3 high EP\",\"Alpha\",\"Beta\",\"Pre-endocrine\",\"Ductal\",\"Alpha\",\"Beta\",\"Ngn3 high EP\",\"Alpha\",\"Beta\",\"Ductal\",\"Ductal\",\"Epsilon\",\"Beta\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ductal\",\"Alpha\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 high EP\",\"Ngn3 low EP\",\"Beta\",\"Ngn3 low EP\",\"Beta\",\"Beta\",\"Beta\",\"Ductal\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Ductal\",\"Ductal\",\"Ductal\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ductal\",\"Beta\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Alpha\",\"Ductal\",\"Ductal\",\"Beta\",\"Pre-endocrine\",\"Beta\",\"Alpha\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ductal\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Pre-endocrine\",\"Alpha\",\"Ductal\",\"Delta\",\"Ductal\",\"Delta\",\"Beta\",\"Beta\",\"Ngn3 low EP\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Beta\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 low EP\",\"Alpha\",\"Beta\",\"Ductal\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Alpha\",\"Ductal\",\"Alpha\",\"Beta\",\"Beta\",\"Beta\",\"Pre-endocrine\",\"Ductal\",\"Ductal\",\"Ductal\",\"Alpha\",\"Beta\",\"Ngn3 high EP\",\"Beta\",\"Alpha\",\"Ductal\",\"Epsilon\",\"Ngn3 high EP\",\"Beta\",\"Beta\",\"Ngn3 high EP\",\"Beta\",\"Ductal\",\"Ngn3 low EP\",\"Alpha\",\"Alpha\",\"Ductal\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ngn3 low EP\",\"Beta\",\"Ductal\",\"Beta\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Beta\",\"Ductal\",\"Ductal\",\"Pre-endocrine\",\"Beta\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Beta\",\"Delta\",\"Beta\",\"Beta\",\"Ductal\",\"Pre-endocrine\",\"Epsilon\",\"Ductal\",\"Ductal\",\"Ductal\",\"Beta\",\"Ngn3 low EP\",\"Ductal\",\"Beta\",\"Delta\",\"Ductal\",\"Alpha\",\"Beta\",\"Ngn3 low EP\",\"Ductal\",\"Alpha\",\"Ductal\",\"Ngn3 high EP\",\"Beta\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Alpha\",\"Pre-endocrine\",\"Ductal\",\"Delta\",\"Ductal\",\"Pre-endocrine\",\"Beta\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Alpha\",\"Epsilon\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Beta\",\"Pre-endocrine\",\"Beta\",\"Epsilon\",\"Alpha\",\"Ductal\",\"Ductal\",\"Alpha\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Beta\",\"Beta\",\"Pre-endocrine\",\"Epsilon\",\"Alpha\",\"Ductal\",\"Ductal\",\"Alpha\",\"Ductal\",\"Beta\",\"Pre-endocrine\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ductal\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Ductal\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Beta\",\"Ngn3 high EP\",\"Alpha\",\"Beta\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Alpha\",\"Ductal\",\"Alpha\",\"Delta\",\"Pre-endocrine\",\"Alpha\",\"Beta\",\"Pre-endocrine\",\"Beta\",\"Epsilon\",\"Ngn3 low EP\",\"Beta\",\"Ductal\",\"Ductal\",\"Ductal\",\"Ductal\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Beta\",\"Alpha\",\"Ductal\",\"Beta\",\"Ngn3 high EP\",\"Ductal\",\"Beta\",\"Beta\",\"Ductal\",\"Alpha\",\"Beta\",\"Beta\",\"Ngn3 low EP\",\"Alpha\",\"Beta\",\"Delta\",\"Ductal\",\"Pre-endocrine\",\"Beta\",\"Pre-endocrine\",\"Delta\",\"Alpha\",\"Pre-endocrine\",\"Ductal\",\"Ngn3 high EP\",\"Delta\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Alpha\",\"Ductal\",\"Epsilon\",\"Ductal\",\"Beta\",\"Pre-endocrine\",\"Alpha\",\"Ductal\",\"Ngn3 low EP\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Pre-endocrine\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Pre-endocrine\",\"Beta\",\"Ductal\",\"Beta\",\"Pre-endocrine\",\"Alpha\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Beta\",\"Ductal\",\"Ductal\",\"Ngn3 low EP\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Alpha\",\"Pre-endocrine\",\"Ngn3 low EP\",\"Alpha\",\"Beta\",\"Ngn3 high EP\",\"Alpha\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ductal\",\"Pre-endocrine\",\"Beta\",\"Delta\",\"Pre-endocrine\",\"Alpha\",\"Beta\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 high EP\",\"Beta\",\"Pre-endocrine\",\"Alpha\",\"Beta\",\"Ngn3 high EP\",\"Ductal\",\"Alpha\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Beta\",\"Ngn3 high EP\",\"Ductal\",\"Beta\",\"Alpha\",\"Ductal\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Epsilon\",\"Beta\",\"Beta\",\"Ductal\",\"Ngn3 low EP\",\"Ductal\",\"Ductal\",\"Ductal\",\"Alpha\",\"Pre-endocrine\",\"Ductal\",\"Pre-endocrine\",\"Beta\",\"Ngn3 low EP\",\"Beta\",\"Alpha\",\"Ductal\",\"Ductal\",\"Alpha\",\"Alpha\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Alpha\",\"Epsilon\",\"Epsilon\",\"Ngn3 high EP\",\"Beta\",\"Ductal\",\"Alpha\",\"Pre-endocrine\",\"Ductal\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 low EP\",\"Ductal\",\"Beta\",\"Ngn3 high EP\",\"Beta\",\"Alpha\",\"Ductal\",\"Ngn3 low EP\",\"Beta\",\"Ngn3 low EP\",\"Beta\",\"Ductal\",\"Alpha\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Alpha\",\"Alpha\",\"Alpha\",\"Alpha\",\"Ductal\",\"Beta\",\"Beta\",\"Ductal\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Alpha\",\"Beta\",\"Beta\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Ngn3 high EP\",\"Epsilon\",\"Epsilon\",\"Ductal\",\"Ductal\",\"Ductal\",\"Beta\",\"Alpha\",\"Ductal\",\"Ductal\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Beta\",\"Ngn3 low EP\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Alpha\",\"Ductal\",\"Alpha\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ductal\",\"Ductal\",\"Pre-endocrine\",\"Ngn3 low EP\",\"Ductal\",\"Ductal\",\"Pre-endocrine\",\"Alpha\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ductal\",\"Ductal\",\"Ductal\",\"Beta\",\"Pre-endocrine\",\"Ngn3 low EP\",\"Alpha\",\"Ductal\",\"Alpha\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Alpha\",\"Pre-endocrine\",\"Ductal\",\"Ductal\",\"Beta\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 low EP\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Beta\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Alpha\",\"Beta\",\"Ductal\",\"Pre-endocrine\",\"Pre-endocrine\",\"Alpha\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ductal\",\"Ngn3 low EP\",\"Ngn3 low EP\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Alpha\",\"Ductal\",\"Epsilon\",\"Ngn3 low EP\",\"Beta\",\"Beta\",\"Ductal\",\"Ductal\",\"Pre-endocrine\",\"Beta\",\"Alpha\",\"Ngn3 low EP\",\"Ngn3 low EP\",\"Ductal\",\"Ngn3 low EP\",\"Beta\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Alpha\",\"Beta\",\"Alpha\",\"Beta\",\"Ngn3 high EP\",\"Alpha\",\"Epsilon\",\"Alpha\",\"Pre-endocrine\",\"Beta\",\"Ngn3 low EP\",\"Beta\",\"Ductal\",\"Beta\",\"Beta\",\"Beta\",\"Ngn3 low EP\",\"Alpha\",\"Beta\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Pre-endocrine\",\"Pre-endocrine\",\"Beta\",\"Ductal\",\"Beta\",\"Beta\",\"Pre-endocrine\",\"Ductal\",\"Ductal\",\"Ngn3 low EP\",\"Ductal\",\"Beta\",\"Delta\",\"Pre-endocrine\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 high EP\",\"Beta\",\"Ductal\",\"Ngn3 low EP\",\"Ductal\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Beta\",\"Alpha\",\"Ngn3 high EP\",\"Beta\",\"Pre-endocrine\",\"Beta\",\"Delta\",\"Beta\",\"Ngn3 low EP\",\"Epsilon\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ngn3 low EP\",\"Alpha\",\"Ngn3 high EP\",\"Ngn3 low EP\",\"Beta\",\"Alpha\",\"Epsilon\",\"Ductal\",\"Beta\",\"Pre-endocrine\",\"Pre-endocrine\",\"Beta\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Beta\",\"Alpha\",\"Beta\",\"Ngn3 low EP\",\"Ngn3 low EP\",\"Ductal\",\"Ductal\",\"Pre-endocrine\",\"Alpha\",\"Pre-endocrine\",\"Beta\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Ductal\",\"Alpha\",\"Alpha\",\"Ngn3 high EP\",\"Ductal\",\"Beta\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Beta\",\"Ngn3 low EP\",\"Ngn3 low EP\",\"Alpha\",\"Beta\",\"Ductal\",\"Ngn3 low EP\",\"Alpha\",\"Ductal\",\"Beta\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Epsilon\",\"Beta\",\"Ductal\",\"Ngn3 high EP\",\"Ngn3 low EP\",\"Ductal\",\"Alpha\",\"Alpha\",\"Ductal\",\"Beta\",\"Ductal\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 low EP\",\"Ductal\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Beta\",\"Ngn3 high EP\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Beta\",\"Ductal\",\"Beta\",\"Ductal\",\"Beta\",\"Beta\",\"Ductal\",\"Alpha\",\"Epsilon\",\"Alpha\",\"Ductal\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Epsilon\",\"Alpha\",\"Alpha\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Alpha\",\"Ductal\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 low EP\",\"Ductal\",\"Ductal\",\"Ngn3 low EP\",\"Beta\",\"Pre-endocrine\",\"Alpha\",\"Beta\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Ductal\",\"Ductal\",\"Alpha\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Beta\",\"Ductal\",\"Beta\",\"Beta\",\"Beta\",\"Beta\",\"Alpha\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Alpha\",\"Ductal\",\"Pre-endocrine\",\"Alpha\",\"Beta\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Beta\",\"Alpha\",\"Ductal\",\"Pre-endocrine\",\"Pre-endocrine\",\"Beta\",\"Ngn3 low EP\",\"Beta\",\"Alpha\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Delta\",\"Pre-endocrine\",\"Pre-endocrine\",\"Beta\",\"Pre-endocrine\",\"Beta\",\"Ngn3 low EP\",\"Ductal\",\"Alpha\",\"Pre-endocrine\",\"Ductal\",\"Ductal\",\"Beta\",\"Alpha\",\"Ngn3 high EP\",\"Ngn3 low EP\",\"Ductal\",\"Alpha\"],\"colors\":[\"#A6CEE3\",\"#1F78B4\",\"#B2DF8A\",\"#33A02C\",\"#FDBF6F\",\"#FF7F00\",\"#FB9A99\",\"#E31A1C\"],\"marker\":{\"size\":1.5},\"showlegend\":true,\"visible\":true,\"inherit\":true}},\"layout\":{\"margin\":{\"b\":40,\"l\":60,\"t\":25,\"r\":10},\"title\":{\"text\":\"Total (nCells:1000)\",\"font\":{\"size\":16,\"color\":\"black\"},\"y\":0.94999999999999996},\"font\":{\"size\":12,\"color\":\"black\"},\"showlegend\":true,\"legend\":{\"itemsizing\":\"constant\",\"y\":0.5,\"x\":1,\"xanchor\":\"left\",\"alpha\":1},\"scene\":{\"xaxis\":{\"title\":\"StandardpcaUMAP3D_1\",\"range\":[-6.5008796387948093,4.953642970915884]},\"yaxis\":{\"title\":\"StandardpcaUMAP3D_2\",\"range\":[-5.430299611890689,6.5767537633534516]},\"zaxis\":{\"title\":\"StandardpcaUMAP3D_3\",\"range\":[-4.5793383473595606,3.8996264582434668]},\"aspectratio\":{\"x\":1,\"y\":1,\"z\":1}},\"autosize\":false,\"hovermode\":\"closest\"},\"source\":\"A\",\"config\":{\"modeBarButtonsToAdd\":[\"hoverclosest\",\"hovercompare\"],\"showSendToCloud\":false},\"data\":[{\"x\":[-5.6886261636056004,-5.872935169342905,-6.1831148797310886,-5.3833645516671238,-5.4914945298470554,-5.4327911073006687,-5.5798309975899754,-5.9773162537850437,-5.7239893609322605,-4.9453610116280613,-5.35839688122645,-5.3330701524056492,-5.9224170380868015,-5.5498193436898289,-5.919978969696909,-5.3041442567147312,-6.1821497613228855,-5.6242302590645847,-5.2006577187813816,-5.503446930054575,-5.8125513726510105,-5.3745692902840672,-5.2250226670540867,-6.1476582223214207,-5.6930960351265965,-5.7689450913704929,-5.2924097710885105,-5.672373645905405,-5.6623295480050144,-5.9470547372139988,-5.6904171639718113,-5.7528332406319675,-6.2177075082100925,-5.4631804162301121,-5.5754865342415867,-5.7706888848580418,-6.1108916932381687,-5.4041060143746433,-5.4442418748177586,-5.7719706231392918,-6.4100536042489109,-5.6914991074837742,-6.0249489480294285,-5.4014824563302097,-5.2602528268136082,-6.1109894448556004,-5.9845112496651707,-6.0393150979317722,-5.7518080407418308,-5.7148393327035008,-6.0209578210152683,-5.3508690530098972,-5.8466519051827488,-5.1293190652169285,-5.8394626313485203,-6.0309356385506687,-5.3975976640023289,-5.6858676606453953,-5.7005304032601414,-6.0058206254281101,-5.9610012704171238,-5.7542136842049656,-5.5800021821297703,-6.3277510339058933,-6.03074156582728,-5.7518442803658543,-5.3374651604928074,-5.1002482110299168,-5.9069336587227879,-5.6807621651925144,-5.7964295083321629,-6.2621782952584324,-5.3787101441659031,-5.8648399049080906,-5.6811984711922703,-5.3548949891366062,-6.2212966614998875,-5.4770072633065281,-5.3982642823494968,-5.8888567620553074,-5.9591859513558445,-5.4930647546090183,-5.7994507485665379,-5.3392757111825047,-6.3571780854500828,-5.2326768571175633,-5.2379931145943699,-5.8231190377511082,-6.1248058015145359,-6.0432237321175633,-6.0586279565133152,-5.1990746194161472,-5.7977875405587254,-5.6799820596016941,-5.2353085213936863,-5.8318871194161472,-5.2169026070870457,-5.7484263116158543,-5.0677164727486668,-5.508423679474741,-5.7000273400582371,-6.0327304536141453,-6.2344092065133152,-5.5369199448861179,-6.3334220582284031,-6.2132896119393406,-5.7791112595833836,-5.9049895936287937,-5.6211966210640965,-5.0892194443978367,-6.1054814988411961,-5.3443311387337742,-5.7632640534676609,-5.5107792550362644,-5.9925340348519383,-6.0116313630379734,-5.4791096383370457,-5.3072446519173679,-5.5963596040047703,-5.4898661309517918,-5.9866064721383152,-5.5977681809701023,-6.0059684449471531,-5.9642866784371433,-5.2662986451424656,-5.7654126817025242,-5.0087841683663425,-5.4355901414193211,-5.6280082398690281,-5.3360952073372898,-5.5685132676400242,-6.0200279885567722,-5.3996018105782566,-5.3638433152474461,-5.9462650948800144,-6.0231627160347996,-5.7078756028451023,-5.3460568124093113,-5.3954003983773289,-5.3247002297677097,-5.1755126649178562,-5.0755652123726902,-5.8730138474740086,-5.2855743104256687,-5.8428872758187351,-5.8968070679940281,-5.6920345956124363,-4.472365968827158,-5.5271786385811863,-6.0224155122078953,-4.9960721665658054,-5.2678822213448582,-5.5907281571663914,-5.6040223771370945,-5.5447462731637058,-5.2768815690316258,-5.6282089883126316,-5.5163015061654148,-5.6191514664925633,-5.7415689164437351,-5.2534431153573093,-6.0725492173470554,-5.4860662156380711,-5.8056019479073582,-5.3344272309578953,-5.4571069413460789,-5.1797989541329441,-5.3959749871529636,-5.925296180848032,-5.6979926759041843,-6.0896280938424168,-6.4130009347237644,-5.9415091210640965,-5.5412248307503758,-5.2964433366097508,-5.5755661660470066,-5.8213099175728855,-6.1728409463204441,-5.6546972924508152,-5.5775760346688328,-5.4664224320687351,-5.6370757752694187,-5.3552411729134617,-6.0912598305977879,-5.6369341546334324,-5.7004131013192234,-5.8644889527596531,-5.7232388192452488,-5.2029036217965183,-5.2785514527596531,-5.2538922959603367,-6.25950133145228,-5.8988321954049168,-5.4856384927071629,-5.2093313866890965,-5.3409093552865086,-6.0478628808297215,-6.3964275056160984,-5.4763725930489597,-5.7636789017952976,-5.1860245400704441,-5.1791127854622898,-6.0973647767342625,-5.7025231057442722,-5.3414553338326511,-5.8377684289254246,-5.7322076493538914,-5.9279640847481785,-5.7661789590157566,-5.8282102280892429,-5.0930021935738621,-5.9298237496651707,-5.3608812028206883,-5.6868876153267918,-6.0093773537911472,-5.3116773301400242,-5.5967267686165867,-5.8418825799264011,-5.6537359887398777,-5.0288318330086765,-5.9399326974190769,-5.858338230255991,-5.0883473092354832,-6.0411423379220066,-5.8218725854195652,-6.5008796387948093,-5.3025659257210789,-6.0911062890328465,-5.4109014207161961,-5.2523106271065769,-5.1373242074288425,-5.7402013474740086,-5.9681919747628269,-5.4591568642891941,-6.054481857422739,-5.5244868928231297,-5.4960130387581883,-5.8595412904061375,-5.3156188660897312],\"y\":[-2.4239424188975245,-1.060248257720843,-0.0031989534739405023,0.82002225319109856,-1.9023222645167261,-0.07431981166638435,-0.24890917738713325,-0.72892709089256824,-2.6646362264994532,-1.6714509447459132,-0.90599982639588417,-2.3076520880106837,0.90666511455737053,0.78360476890765129,-0.0071892460230738031,1.0902816335316747,0.10975864330492913,-1.4930325468424708,-1.6865774711016566,-2.5282889326456934,0.2322489897366613,0.4737764875050634,-2.3206523378733546,0.040917066728696216,-1.8718527277354151,-1.0547011216524989,-2.5049843510035426,0.58263471523486077,-0.33809483250416816,-0.0042112191561609613,1.3101433793660253,-2.5156374891642481,-0.66058179190196098,-1.4961245973948389,-2.3944978435877711,-0.52450566192902626,-0.37305695017613472,-2.5921070297602564,-2.5512525757197291,-2.8423815687540919,-0.22580784758366645,-2.1058399399165064,0.032660750543698658,-1.5147729237917811,-2.7303775270823389,-0.18605199655331672,-0.75979690825380386,-0.47790557345189155,0.37111750045977532,-1.2477879842165858,0.24557277361117302,-2.534595580900088,-0.97541529139317573,-2.9255004843119532,1.2918585816975683,-1.7989293058756739,-2.089099975431338,-0.6945296322349459,-0.55396698614396156,1.0733109990712255,0.79236331382952629,0.90493681827746331,0.96703484455309807,0.43656936088763176,-1.2767833789233118,-2.3413816412333399,-2.3667430599574,-3.4312649687174708,0.73083033958636223,-2.3397497852686793,-2.555000158155337,-0.081854196393862377,-2.6187299211863428,-0.81959226926602424,-2.2445436437968165,-2.1371415575388819,-0.63256122370995582,-0.86869067152775825,-1.3599250038508326,-0.89102895756997169,-0.5421614368800074,-1.2548774202708155,-0.303394796455279,-1.8503794391993433,-0.25962552627362312,-2.3545452078226954,-2.9843977411631495,0.4603710452672094,-0.60679900100268425,0.77471056381426751,-0.49307361444272102,-2.3902754505518824,-0.57716794511117042,1.0069606582280248,-2.7188754995707423,0.4815432111378759,-1.6154571493510157,-2.5282175262812525,-2.2374744137171656,-0.74580705364979805,0.63541057506762444,-0.041548641527071606,0.584676412736997,-0.47898596724309028,-0.063820513093844067,-0.85163870652951301,-1.6689185818079859,-1.208278807008639,0.16766300598345696,-3.1717403849009425,-0.51668662031926216,-2.2253373583201319,1.1124904433842748,-2.0713031013850123,0.68430438438616692,-0.44561726053990425,-1.7000657041911036,-2.6961437185648829,-2.6139056404475123,-2.5415188988093287,-0.46387927433289589,0.58100822368822991,-0.52378004988469185,0.30252352157793938,-3.302570434415713,-0.19752535423077644,-1.6426285227183253,-1.2037187536600977,-2.6689614971522242,-0.59392323544062675,-2.485010357702151,-0.55357498129643501,-1.966421695554629,1.1090861837025732,-0.28003990849293769,0.32085719505511223,-1.5454110821131617,-1.7415537556055933,-1.4735290130022913,-2.5246780832652003,-2.1143266876582056,0.45906033912859856,-0.46734926303662361,-3.1791225393656641,-0.26577314933575691,-1.6685838421229273,1.3025166074391454,2.9335071126576513,0.5133655349370092,-0.51868814429081977,-1.7872458418253809,1.5110184232350439,-1.2300030310992152,-1.2066546698454768,-2.6143294294718653,-2.6177423914317042,-1.0108128507975489,-0.79877247860468925,-0.31409719785489143,-1.3025124987009913,-2.3140825947169215,0.41521671215258538,-2.2987181862238795,-1.0797995050791651,-1.9105398376826197,0.51899733940325676,-1.5136269052866846,0.45066287914477288,-0.091579588258638989,-1.3130245526675135,0.11476179758273064,-0.18845281204022468,-1.0779137929324061,-2.3972980697993189,-1.8019695003870875,-2.9782463034037501,-1.0323364158514887,0.30194666782580315,-0.17712667783536018,-0.47259341379441322,-2.5780229290369898,-1.6972892006281763,-2.4918985088709742,-0.4765626957062632,0.59758129516802727,-0.057403357828035961,-0.93062654336728157,-1.2473947127703577,-1.5495269616488367,-2.4978031834010035,-2.0420862158183009,0.33577218452654778,-0.76057930489815773,-0.41820094188489021,-3.3232058008555323,-2.5770795067194849,-0.31931096514500679,-0.036010058725252758,-2.9598692377451807,-0.38724771341122688,-2.281199904287234,-3.4103980978373438,-0.40766781767643989,-2.5683570822123438,-2.4603950699213892,0.18474444547854363,-2.422739358747378,-0.80372051348723472,1.1226489822026342,-0.78446293076314033,-1.7862660606745631,-1.0091382583025843,-2.5390444715861231,-1.2197047789935023,-0.56570275327004493,-2.8032799681071192,0.88983025947771965,-1.3213318904284388,-0.76926513587869705,2.0702642480488866,-0.63595286955870689,-0.9315751661900431,1.6518577615376562,-0.25433305105008186,-0.59171976348198951,-0.027807446325197827,-2.6738413294199854,-0.7417087220940739,-2.4503285606745631,-3.294992776716128,-3.1253803690318018,-1.1817605515364558,-0.50720545848645271,-2.705123277509585,0.035058585798367847,-1.6979959925059229,-2.0426032265070826,-1.8615666349772364,-1.9412618597391993],\"z\":[1.7209126597205178,2.527021372870542,-1.1616564149102195,-1.8559828156670555,3.2410707121649756,-1.0455540770730003,-1.7735357636651023,-1.9872184151848777,1.5473641997138039,2.6814934855261816,-1.3942010754784568,-0.33500662986841051,-0.84139434043969952,-2.0481994504174219,0.22023350949678572,-2.3228574151238428,-0.56737945024576031,0.837201023654081,2.9908573275366797,1.9862050658026711,-0.17170277778711168,-1.7915833348473533,2.4751481657782568,-0.87906924430932842,3.3997888212958349,-1.3295537585457786,2.2881769781867041,-2.3060582036217676,-0.78535715286340557,-1.2004583234032615,-1.6618275994500145,1.5621211176672951,-2.1065354699334131,3.0720355158606543,0.94232525880727924,-1.849751507683657,-2.0330062264641748,2.0160249119559301,0.14952222462091597,1.6737135296622292,-0.94935015384759747,0.74750124867353596,-0.94834426586236797,3.1389162188330664,0.32490608300361784,-1.1544330472191795,1.0214734321394936,0.88445487077627338,-0.29914370719995348,-1.0816707963189109,-0.32863870803918688,-0.092906569882296008,0.74785491283331074,0.18445610459242018,-1.2093589657982811,3.7233423834601416,-0.49340949003305284,0.059543306187726575,-1.8433957452019676,-1.2986466044625267,-0.88790789787378155,-2.02537015621271,-1.6897497529229148,-1.2289797419747337,3.3604943400183691,1.3127427345076577,1.3196410780707375,1.1913472061911599,-1.9469058865746482,1.0154487734595314,1.4312659149924294,-1.6040673608025535,0.12375443632993849,-1.4128768796166404,0.77422132547292866,2.6971456652441992,-2.036694561882876,-1.0017899626931175,2.8106479292670263,0.7931694930354134,0.098663741902448254,-1.1353292817315086,-2.2370138520440088,-0.73369005863275372,-0.45105413143243639,1.4027789479056374,1.7184003239432351,-1.1653086299141868,-2.2032118195733057,-1.7908523434838279,-2.1815410012444483,2.2979336624899878,-0.360995268269442,-1.2482587451180442,2.0755170231619848,-1.052843605919741,2.9087946062842382,1.6430362110892311,2.6027874594489111,-1.3492400998314842,-1.486954843445681,-0.14174357597436754,-0.75427452270593487,-1.2737386578759178,-1.6466327065667137,-1.8502304906090721,3.4627344256201757,3.0283591395178808,-0.77350369636621319,0.82426616008672871,1.0397622233191506,-0.52546677534189068,-1.7740826958855613,3.1895594244757666,-0.73427704517450176,-2.2196486348351465,-0.46725687925424425,-0.08763489667978136,1.7370013838568703,0.55308466608915485,-0.35568419639673082,-2.3364601487359034,0.90753599460516132,-1.1180763596734031,1.2952232008734719,0.043047363118268567,2.8571991568366064,-1.0320638770302757,1.3689778691092507,-1.3047206753930076,1.1861673241415993,0.96773936803732075,-0.61603239719476544,-2.2865541333397852,0.47733135725650938,-0.85122517292108379,3.5315065031806006,2.8295335417548193,2.813250506476499,-0.17830512468423693,2.5517861491004004,-1.9490778798302635,-2.0694294327935205,1.0883080011168496,0.24303577299509199,3.4216956740180029,-1.4250539893349632,-2.2967899197777735,-1.7053244466027244,0.61508458311948933,2.6585242396155371,-1.7592449540337547,2.296513879851438,-1.2292689437111839,0.8907671218672768,-0.10765579883661119,-1.2360688800057396,-0.86720553581323467,-1.7001874798974022,-1.2176562899788841,-0.45528093521203844,-0.068795179768465442,0.24904445763025435,0.6631188338557259,2.2579960470953955,-1.4042799824913963,2.7577550059119238,-2.0003671998223291,0.18651787395868452,0.43843322451505812,-0.33383670990075914,-0.53754291479196392,2.773108208731748,0.54893437977228321,3.0268418436804785,1.4449412470618264,1.4355934506217018,-0.21482173149194567,-0.17167637292947618,-0.21886805240716783,0.57198853249941028,3.2400831824103369,-0.13236359302606432,-0.18778732959832994,-1.7135117406090721,-1.4591155404290184,-1.2075527066430076,-1.2754156941613182,2.884389365271665,2.0701118355551733,2.5993244295874609,-1.3153759593209251,0.87915643508825458,-1.0798709744652732,1.667353714064695,0.037134016112424451,-0.90237275306787335,-1.1737389916619285,1.7570126896658913,0.02872138674650343,2.4830815439978613,1.1477381830969826,-0.53395435754861675,1.2779807096282021,1.2107753997603432,-2.2431216592034326,1.6426313763419167,-1.9241636151513084,-1.3984380120476707,0.19010824914369734,2.7292859202185644,2.4331793432990088,-0.075243359251879138,-0.75211945716943585,0.86275687272939838,1.3238997703352944,-2.0534053200921045,3.2318439131537451,-0.60239753667917095,-2.0540738457879053,-1.4164207333764061,0.66361799295339741,-2.2756264561852442,-0.42767701093759386,-1.2472914809426292,-1.4120872372826561,0.075430149392224866,-1.9588947648247703,1.6331224089423195,1.5138283615866677,0.72607460077200092,0.54873485322389759,0.79618325288686909,1.1803533678809182,0.071157509640790539,3.2758783942023291,0.077136183337308484,3.4548844939032568,2.9304322844306006],\"text\":[\"Cell:CAGCCGAAGCGATATA
group.by:Ductal
color:Ductal\",\"Cell:CGGAGCTCATTGGGCC
group.by:Ductal
color:Ductal\",\"Cell:AGAGCTTGTGTGACCC
group.by:Ductal
color:Ductal\",\"Cell:ACGGCCACACGTGAGA
group.by:Ductal
color:Ductal\",\"Cell:AAAGCAACACGGTAAG
group.by:Ductal
color:Ductal\",\"Cell:CACTCCACATATGGTC
group.by:Ductal
color:Ductal\",\"Cell:ACGGGTCTCTATCGCC
group.by:Ductal
color:Ductal\",\"Cell:GCAGTTATCTTGAGAC
group.by:Ductal
color:Ductal\",\"Cell:CAGAATCCACGCATCG
group.by:Ductal
color:Ductal\",\"Cell:AGAGCGAGTTGGACCC
group.by:Ductal
color:Ductal\",\"Cell:TGGCGCAAGAAGATTC
group.by:Ductal
color:Ductal\",\"Cell:GTGCATACAATAGCAA
group.by:Ductal
color:Ductal\",\"Cell:AGCTCTCTCAACACGT
group.by:Ductal
color:Ductal\",\"Cell:ACGAGCCGTGACTACT
group.by:Ductal
color:Ductal\",\"Cell:TAAGTGCAGGGTTTCT
group.by:Ductal
color:Ductal\",\"Cell:CGGACTGAGGTAGCTG
group.by:Ductal
color:Ductal\",\"Cell:AGGCCACCACCTATCC
group.by:Ductal
color:Ductal\",\"Cell:CATATGGCATGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:ATCATCTTCTGTCAAG
group.by:Ductal
color:Ductal\",\"Cell:GTCAAGTGTGGTCCGT
group.by:Ductal
color:Ductal\",\"Cell:TTTGTCAGTTGTTTGG
group.by:Ductal
color:Ductal\",\"Cell:TTAGGACAGCTAAGAT
group.by:Ductal
color:Ductal\",\"Cell:AGCAGCCCAGGAATGC
group.by:Ductal
color:Ductal\",\"Cell:TGGCCAGCACGAAAGC
group.by:Ductal
color:Ductal\",\"Cell:TGGCGCACAATGTTGC
group.by:Ductal
color:Ductal\",\"Cell:CGTGTCTTCTTGTCAT
group.by:Ductal
color:Ductal\",\"Cell:CCTAAAGTCATGCAAC
group.by:Ductal
color:Ductal\",\"Cell:GAAATGACACATGACT
group.by:Ductal
color:Ductal\",\"Cell:ACTGAGTAGGCTAGGT
group.by:Ductal
color:Ductal\",\"Cell:GTTCTCGCAGCTGGCT
group.by:Ductal
color:Ductal\",\"Cell:ACTGAACAGCCTCGTG
group.by:Ductal
color:Ductal\",\"Cell:TTAACTCGTCCGAACC
group.by:Ductal
color:Ductal\",\"Cell:TCCCGATGTAAGTGTA
group.by:Ductal
color:Ductal\",\"Cell:GATCGCGAGCTGAACG
group.by:Ductal
color:Ductal\",\"Cell:ACCGTAATCTATCCCG
group.by:Ductal
color:Ductal\",\"Cell:GAACGGATCACAACGT
group.by:Ductal
color:Ductal\",\"Cell:CAGCTAACAACACGCC
group.by:Ductal
color:Ductal\",\"Cell:CAGATCATCTCGATGA
group.by:Ductal
color:Ductal\",\"Cell:GCGCCAAAGAGGTTAT
group.by:Ductal
color:Ductal\",\"Cell:GTAACTGTCAGTGCAT
group.by:Ductal
color:Ductal\",\"Cell:GATGAAAAGACAGACC
group.by:Ductal
color:Ductal\",\"Cell:AACTTTCGTGGTCCGT
group.by:Ductal
color:Ductal\",\"Cell:TCGTACCCATATACGC
group.by:Ductal
color:Ductal\",\"Cell:TGGTTCCGTTGATTCG
group.by:Ductal
color:Ductal\",\"Cell:ACGTCAACAGACAAAT
group.by:Ductal
color:Ductal\",\"Cell:CTTTGCGGTACTTGAC
group.by:Ductal
color:Ductal\",\"Cell:GGAACTTGTCGAACAG
group.by:Ductal
color:Ductal\",\"Cell:GAGGTGATCTAGCACA
group.by:Ductal
color:Ductal\",\"Cell:CGTAGCGTCACTATTC
group.by:Ductal
color:Ductal\",\"Cell:AAACGGGCACTGTGTA
group.by:Ductal
color:Ductal\",\"Cell:CGTTCTGTCCGCGGTA
group.by:Ductal
color:Ductal\",\"Cell:ACTGATGAGTGCAAGC
group.by:Ductal
color:Ductal\",\"Cell:GAGTCCGCAATTGCTG
group.by:Ductal
color:Ductal\",\"Cell:TTTCCTCTCTGAAAGA
group.by:Ductal
color:Ductal\",\"Cell:GTCATTTGTCTCAACA
group.by:Ductal
color:Ductal\",\"Cell:GACTAACCACTCGACG
group.by:Ductal
color:Ductal\",\"Cell:GAATAAGTCTGATACG
group.by:Ductal
color:Ductal\",\"Cell:CAGGTGCAGACTTGAA
group.by:Ductal
color:Ductal\",\"Cell:GAGGTGAAGCTACCTA
group.by:Ductal
color:Ductal\",\"Cell:TGGCGCAGTGTATGGG
group.by:Ductal
color:Ductal\",\"Cell:GTCTTCGTCCTACAGA
group.by:Ductal
color:Ductal\",\"Cell:TGCCCTACAATCACAC
group.by:Ductal
color:Ductal\",\"Cell:TCACAAGAGCCACTAT
group.by:Ductal
color:Ductal\",\"Cell:TGGTTCCAGGAATGGA
group.by:Ductal
color:Ductal\",\"Cell:GATCGCGTCTGGAGCC
group.by:Ductal
color:Ductal\",\"Cell:CCGTACTGTTACTGAC
group.by:Ductal
color:Ductal\",\"Cell:TCAACGACACCATCCT
group.by:Ductal
color:Ductal\",\"Cell:CGTCCATCATGGTAGG
group.by:Ductal
color:Ductal\",\"Cell:CTAGCCTGTGCGATAG
group.by:Ductal
color:Ductal\",\"Cell:GACCAATGTACGAAAT
group.by:Ductal
color:Ductal\",\"Cell:GTATTCTTCAGGTAAA
group.by:Ductal
color:Ductal\",\"Cell:TACCTATGTAACGTTC
group.by:Ductal
color:Ductal\",\"Cell:CCAGCGACAGCGATCC
group.by:Ductal
color:Ductal\",\"Cell:CGCTGGACATCCTAGA
group.by:Ductal
color:Ductal\",\"Cell:ACTGTCCAGGTTCCTA
group.by:Ductal
color:Ductal\",\"Cell:CCACGGAGTCTTGATG
group.by:Ductal
color:Ductal\",\"Cell:AGATTGCCACCAGGCT
group.by:Ductal
color:Ductal\",\"Cell:CACCAGGGTACCTACA
group.by:Ductal
color:Ductal\",\"Cell:GAATGAACAGCCTTGG
group.by:Ductal
color:Ductal\",\"Cell:CGCTGGAAGGGCATGT
group.by:Ductal
color:Ductal\",\"Cell:TAAACCGCATTCCTCG
group.by:Ductal
color:Ductal\",\"Cell:CACAGTAGTTCCTCCA
group.by:Ductal
color:Ductal\",\"Cell:TCGCGAGCACACATGT
group.by:Ductal
color:Ductal\",\"Cell:ACGGCCACACGCTTTC
group.by:Ductal
color:Ductal\",\"Cell:TGAGGGACAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:CAGCGACCACAGGAGT
group.by:Ductal
color:Ductal\",\"Cell:GGACAGATCCTGCAGG
group.by:Ductal
color:Ductal\",\"Cell:AACTTTCCACTGCCAG
group.by:Ductal
color:Ductal\",\"Cell:TGCACCTAGTACGCGA
group.by:Ductal
color:Ductal\",\"Cell:GAACGGACAAGGTGTG
group.by:Ductal
color:Ductal\",\"Cell:CGAGCACTCTACCTGC
group.by:Ductal
color:Ductal\",\"Cell:CATCGAAAGATGTTAG
group.by:Ductal
color:Ductal\",\"Cell:ACTTTCAAGGATATAC
group.by:Ductal
color:Ductal\",\"Cell:GATCAGTGTATAATGG
group.by:Ductal
color:Ductal\",\"Cell:AGCGTATCAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:CGAATGTAGTTCCACA
group.by:Ductal
color:Ductal\",\"Cell:AGCTTGATCTGACCTC
group.by:Ductal
color:Ductal\",\"Cell:CCGTACTGTTCCACTC
group.by:Ductal
color:Ductal\",\"Cell:CTTACCGCAAAGTCAA
group.by:Ductal
color:Ductal\",\"Cell:CGGTTAATCGTCTGAA
group.by:Ductal
color:Ductal\",\"Cell:CTCGTCATCGGTCTAA
group.by:Ductal
color:Ductal\",\"Cell:ATCATCTAGTGATCGG
group.by:Ductal
color:Ductal\",\"Cell:GAGGTGAGTGACAAAT
group.by:Ductal
color:Ductal\",\"Cell:TCTTTCCGTTATGTGC
group.by:Ductal
color:Ductal\",\"Cell:CCCAGTTAGGTGCTAG
group.by:Ductal
color:Ductal\",\"Cell:GAATGAACAATCGAAA
group.by:Ductal
color:Ductal\",\"Cell:GACTACACATATGAGA
group.by:Ductal
color:Ductal\",\"Cell:GTGCTTCTCCAAACTG
group.by:Ductal
color:Ductal\",\"Cell:GCTCCTAGTCGGGTCT
group.by:Ductal
color:Ductal\",\"Cell:CGTGAGCAGTCTCAAC
group.by:Ductal
color:Ductal\",\"Cell:ACGCCAGGTTCTGAAC
group.by:Ductal
color:Ductal\",\"Cell:GGACGTCCAGTATCTG
group.by:Ductal
color:Ductal\",\"Cell:TGACTAGCACGGTGTC
group.by:Ductal
color:Ductal\",\"Cell:CTCGAGGTCAACTCTT
group.by:Ductal
color:Ductal\",\"Cell:AACTCTTAGCTGCGAA
group.by:Ductal
color:Ductal\",\"Cell:CGTGTCTGTAGTGAAT
group.by:Ductal
color:Ductal\",\"Cell:ATCCGAACACGGTAGA
group.by:Ductal
color:Ductal\",\"Cell:TACGGGCAGATTACCC
group.by:Ductal
color:Ductal\",\"Cell:GCGCAGTGTCCTAGCG
group.by:Ductal
color:Ductal\",\"Cell:GTGCATAAGAATGTTG
group.by:Ductal
color:Ductal\",\"Cell:GGACATTAGAAACCAT
group.by:Ductal
color:Ductal\",\"Cell:CATGACACATCCGCGA
group.by:Ductal
color:Ductal\",\"Cell:ACGGGTCAGGGTGTTG
group.by:Ductal
color:Ductal\",\"Cell:ACTGTCCGTGCGATAG
group.by:Ductal
color:Ductal\",\"Cell:AACTCAGTCTGGTTCC
group.by:Ductal
color:Ductal\",\"Cell:TGCGGGTTCTCAAACG
group.by:Ductal
color:Ductal\",\"Cell:CAGCCGAAGTAGGTGC
group.by:Ductal
color:Ductal\",\"Cell:GCTGCAGCAATCCAAC
group.by:Ductal
color:Ductal\",\"Cell:CGCTTCATCAGTTCGA
group.by:Ductal
color:Ductal\",\"Cell:GATCTAGGTGCCTTGG
group.by:Ductal
color:Ductal\",\"Cell:TTGGCAATCGAACGGA
group.by:Ductal
color:Ductal\",\"Cell:CATCGAAGTTACGCGC
group.by:Ductal
color:Ductal\",\"Cell:GTCAAGTCAAAGTGCG
group.by:Ductal
color:Ductal\",\"Cell:GGGAATGCACATTTCT
group.by:Ductal
color:Ductal\",\"Cell:CAGCTAAAGAGCCCAA
group.by:Ductal
color:Ductal\",\"Cell:GTGCAGCGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:AACGTTGCATGGGACA
group.by:Ductal
color:Ductal\",\"Cell:TCGCGAGTCAACGCTA
group.by:Ductal
color:Ductal\",\"Cell:CGAACATTCACAAACC
group.by:Ductal
color:Ductal\",\"Cell:TCTATTGTCACATAGC
group.by:Ductal
color:Ductal\",\"Cell:TGAGCATTCGGGAGTA
group.by:Ductal
color:Ductal\",\"Cell:TTGTAGGCATACTCTT
group.by:Ductal
color:Ductal\",\"Cell:GTAACGTGTCACTGGC
group.by:Ductal
color:Ductal\",\"Cell:GGTGCGTGTCCGAGTC
group.by:Ductal
color:Ductal\",\"Cell:CCTTCCCCAAAGTGCG
group.by:Ductal
color:Ductal\",\"Cell:CTGATAGAGCTCAACT
group.by:Ductal
color:Ductal\",\"Cell:GTTCATTAGGGTCTCC
group.by:Ductal
color:Ductal\",\"Cell:CCAATCCAGAGTAAGG
group.by:Ductal
color:Ductal\",\"Cell:GCTCCTATCTCACATT
group.by:Ductal
color:Ductal\",\"Cell:CTACCCAGTCAAACTC
group.by:Ductal
color:Ductal\",\"Cell:TGGCCAGAGCTACCTA
group.by:Ductal
color:Ductal\",\"Cell:CGATTGAAGTCTTGCA
group.by:Ductal
color:Ductal\",\"Cell:TTCGGTCGTCACAAGG
group.by:Ductal
color:Ductal\",\"Cell:GTCTCGTCACGTGAGA
group.by:Ductal
color:Ductal\",\"Cell:AGAGCTTGTTAAAGAC
group.by:Ductal
color:Ductal\",\"Cell:GCTCTGTTCGCTTAGA
group.by:Ductal
color:Ductal\",\"Cell:CTGATCCTCAGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:CACAGTATCTTAGAGC
group.by:Ductal
color:Ductal\",\"Cell:TTAGGCAGTAGCGTAG
group.by:Ductal
color:Ductal\",\"Cell:ACTGAACAGTACATGA
group.by:Ductal
color:Ductal\",\"Cell:GGAAAGCGTACGCACC
group.by:Ductal
color:Ductal\",\"Cell:CCCTCCTGTCTAACGT
group.by:Ductal
color:Ductal\",\"Cell:GCTGCTTGTCTTCAAG
group.by:Ductal
color:Ductal\",\"Cell:ATAAGAGTCCACGTTC
group.by:Ductal
color:Ductal\",\"Cell:CACCACTGTCGGCTCA
group.by:Ductal
color:Ductal\",\"Cell:ACGAGCCCACTCTGTC
group.by:Ductal
color:Ductal\",\"Cell:CACAGTATCAGAGGTG
group.by:Ductal
color:Ductal\",\"Cell:TTGAACGGTGATGCCC
group.by:Ductal
color:Ductal\",\"Cell:ATCATGGTCCAGAGGA
group.by:Ductal
color:Ductal\",\"Cell:AGCTTGACAGTAAGAT
group.by:Ductal
color:Ductal\",\"Cell:CGTCACTGTCAGGACA
group.by:Ductal
color:Ductal\",\"Cell:CGGAGCTGTTCTGAAC
group.by:Ductal
color:Ductal\",\"Cell:CAACTAGAGCTTCGCG
group.by:Ductal
color:Ductal\",\"Cell:GGAAAGCGTCTTGATG
group.by:Ductal
color:Ductal\",\"Cell:CATCCACAGTCACGCC
group.by:Ductal
color:Ductal\",\"Cell:TCAGGTACACTGTCGG
group.by:Ductal
color:Ductal\",\"Cell:GGGCATCCATGACATC
group.by:Ductal
color:Ductal\",\"Cell:GACGCGTCATTTCAGG
group.by:Ductal
color:Ductal\",\"Cell:ATTGGTGTCCAGTATG
group.by:Ductal
color:Ductal\",\"Cell:GGGCACTTCTAACTGG
group.by:Ductal
color:Ductal\",\"Cell:TTCTCAACAGTTTACG
group.by:Ductal
color:Ductal\",\"Cell:GGAATAACACGACGAA
group.by:Ductal
color:Ductal\",\"Cell:CGTTAGAAGTATCTCG
group.by:Ductal
color:Ductal\",\"Cell:CCTATTACAAACGTGG
group.by:Ductal
color:Ductal\",\"Cell:AGATTGCAGCTAGTCT
group.by:Ductal
color:Ductal\",\"Cell:ATTGGTGGTACTTGAC
group.by:Ductal
color:Ductal\",\"Cell:CTCAGAATCTGGCGAC
group.by:Ductal
color:Ductal\",\"Cell:CAGCCGAAGTGACTCT
group.by:Ductal
color:Ductal\",\"Cell:GAATGAATCTGGTATG
group.by:Ductal
color:Ductal\",\"Cell:CATGCCTAGCGATGAC
group.by:Ductal
color:Ductal\",\"Cell:CTCAGAATCAACACTG
group.by:Ductal
color:Ductal\",\"Cell:AGAGCGAAGTAGATGT
group.by:Ductal
color:Ductal\",\"Cell:CTAGCCTGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:AACTGGTTCGTGACAT
group.by:Ductal
color:Ductal\",\"Cell:ACTGAGTGTTTCGCTC
group.by:Ductal
color:Ductal\",\"Cell:AGAGCGATCTCTTGAT
group.by:Ductal
color:Ductal\",\"Cell:GAAGCAGTCAAGGCTT
group.by:Ductal
color:Ductal\",\"Cell:CACACTCAGGCGCTCT
group.by:Ductal
color:Ductal\",\"Cell:TTTATGCTCCATTCTA
group.by:Ductal
color:Ductal\",\"Cell:GACGTGCTCCTCTAGC
group.by:Ductal
color:Ductal\",\"Cell:TTAACTCCAAAGAATC
group.by:Ductal
color:Ductal\",\"Cell:CGTGTAATCCATGCTC
group.by:Ductal
color:Ductal\",\"Cell:CTCGTACGTTCCGTCT
group.by:Ductal
color:Ductal\",\"Cell:CACACAACACACTGCG
group.by:Ductal
color:Ductal\",\"Cell:CATCCACTCTTCTGGC
group.by:Ductal
color:Ductal\",\"Cell:CTCGTACCAATGGATA
group.by:Ductal
color:Ductal\",\"Cell:TGTGGTACAAGACGTG
group.by:Ductal
color:Ductal\",\"Cell:AATCGGTCATGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:TCTGAGATCGTAGGTT
group.by:Ductal
color:Ductal\",\"Cell:CCTAGCTCAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:CTGATAGTCGGCTACG
group.by:Ductal
color:Ductal\",\"Cell:CGAGCACGTCCATCCT
group.by:Ductal
color:Ductal\",\"Cell:TGCTGCTGTCCGTCAG
group.by:Ductal
color:Ductal\",\"Cell:TATCAGGGTCGAATCT
group.by:Ductal
color:Ductal\",\"Cell:CGTCACTCAAAGGTGC
group.by:Ductal
color:Ductal\",\"Cell:CGTGTCTTCCTTTCGG
group.by:Ductal
color:Ductal\",\"Cell:CATCAGAGTCCGAATT
group.by:Ductal
color:Ductal\",\"Cell:GCGCCAATCGGACAAG
group.by:Ductal
color:Ductal\",\"Cell:ATTGGACAGTCAAGGC
group.by:Ductal
color:Ductal\",\"Cell:TCTGGAATCGGTGTCG
group.by:Ductal
color:Ductal\",\"Cell:GACGTTAAGACGCAAC
group.by:Ductal
color:Ductal\",\"Cell:CCACGGAGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:CCATTCGCATGAAGTA
group.by:Ductal
color:Ductal\",\"Cell:GCGCAGTCACCATCCT
group.by:Ductal
color:Ductal\",\"Cell:TAGTTGGGTACCGTAT
group.by:Ductal
color:Ductal\",\"Cell:GGAAAGCTCTCGGACG
group.by:Ductal
color:Ductal\",\"Cell:GTGTGCGTCTCTGAGA
group.by:Ductal
color:Ductal\",\"Cell:ACGTCAACACGGTGTC
group.by:Ductal
color:Ductal\",\"Cell:TGTATTCCAATGACCT
group.by:Ductal
color:Ductal\",\"Cell:GATCGTAGTCCTAGCG
group.by:Ductal
color:Ductal\",\"Cell:AACTGGTGTACAGTGG
group.by:Ductal
color:Ductal\",\"Cell:TAAACCGAGTCGTACT
group.by:Ductal
color:Ductal\",\"Cell:CGTAGGCTCGCGCCAA
group.by:Ductal
color:Ductal\",\"Cell:ATTCTACTCAGGTAAA
group.by:Ductal
color:Ductal\",\"Cell:CTGATCCCAAGCGTAG
group.by:Ductal
color:Ductal\",\"Cell:AGCCTAAAGCCCAACC
group.by:Ductal
color:Ductal\",\"Cell:CAACCAATCGGGAGTA
group.by:Ductal
color:Ductal\",\"Cell:TGTCCCATCTTGACGA
group.by:Ductal
color:Ductal\",\"Cell:ATAAGAGTCCGAACGC
group.by:Ductal
color:Ductal\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":\"rgba(166,206,227,1)\",\"size\":1.5,\"line\":{\"color\":\"rgba(166,206,227,1)\"}},\"showlegend\":true,\"visible\":true,\"name\":\"Ductal\",\"textfont\":{\"color\":\"rgba(166,206,227,1)\"},\"error_y\":{\"color\":\"rgba(166,206,227,1)\"},\"error_x\":{\"color\":\"rgba(166,206,227,1)\"},\"line\":{\"color\":\"rgba(166,206,227,1)\"},\"frame\":null},{\"x\":[-5.3666280442513523,-5.1829670602120457,-5.3985317879952488,-5.9616588288582859,-4.206093185547739,-4.7807520562447605,-5.0173948937691746,-5.2147434884347019,-5.32397305310145,-6.37182461560145,-5.3119543725289402,-6.477021091584116,-5.1964877778328953,-5.8063710862435398,-5.8526018792428074,-4.8945668870247898,-5.5241459542550144,-5.7354863816536961,-5.8222106629647312,-5.458196514252573,-5.9495462113656101,-4.5778638058938084,-5.8642514878548679,-5.1970995599068699,-5.5565107995308933,-6.1315530473031101,-5.4468868905343113,-6.110382907990366,-5.6430138284005222,-5.2171081239022312,-5.2775639230050144,-5.9344409638680515,-5.1835802727974949,-5.066432827118784,-4.7719811135567722,-5.7158354455269871,-4.9079335862435398,-5.9147142106331883,-5.1179498368538914,-5.939667575959116,-5.761318081025034,-4.6927961045540867,-6.1529258424080906,-5.9280646973885593,-5.4941357308663425,-5.9965819054879246,-5.9584807091988621,-6.2223313981331883,-6.1973417931832371,-5.936590068940073,-5.3260720902718601,-5.6700743371285496,-5.7990935975350437,-5.689214580658823,-5.3465093308724461,-5.9925941163338718,-5.4850720101632175,-4.8173636132515965,-5.7200759583748875,-5.3801878625191746,-5.6688474351204929,-5.2021268540658054,-5.7185310059823093,-5.2154592210091648,-5.8190969163216648,-5.8522084885872898,-5.8279870682992039,-5.1990946465767918,-6.1945279771126804,-5.7646449738778172,-4.742568605545908,-5.3095802003182468,-5.8058999711312351,-5.7662848168648777,-4.6041163140572605,-5.4807642632760105,-5.920357101563364,-6.493007534150034,-4.990298622254282,-5.1815284425057468,-6.0575002366341648],\"y\":[-1.3609242161158472,-3.361192556226626,0.68722930351458489,-1.5227970202807337,3.2370296994801611,2.4415027181264013,1.9006220380421728,-3.5910142382029444,1.0953157226201147,0.34391608635149895,-3.3848780115488917,-0.27822473844327034,1.7524751702900976,-0.79395885964669288,-0.078191729390993725,2.1802228967305273,0.075537113344296802,0.93267014423571526,-1.6452137549761683,-0.62760734757222236,0.66038360992632805,2.724437622224912,-1.854727359617129,-2.6569406708125025,0.29429247776232659,-0.31161385973729194,1.0362267772313207,0.15898248354159294,1.3160141984578222,-3.3243452032450587,1.7180282155629247,-1.4715509136561304,-3.2999371012095362,1.7567495385762304,2.3767744580861181,-2.1765366514567286,2.1503387967702001,-0.25588000019825996,1.5315343419667333,-0.26172504028119148,-0.017684849107638012,2.5411118547078222,0.1392575780507177,-1.5013940056208521,0.97515573898516594,-0.32605084975995124,0.82027926841937004,0.48376431862078606,0.0086186210270970953,1.0017936507817358,-2.3959475477579981,-2.1494072397593409,-1.5018984397295863,0.4845412055607885,0.82663360038958489,-0.55044420262612404,1.6344713250752538,2.3286994973774999,1.3997396508809179,1.3177145997639745,0.89430573383532463,-3.387439819181338,1.4095458070393652,-3.2321222742442042,1.1436475793477148,-1.7195602377299219,-0.61843190541304649,-3.3262511213663966,0.69464531341753899,1.2206509391423315,2.4513479749318212,0.31395700374804436,-1.8524055202845484,-2.099086376035586,2.6894771138783544,1.6846672574635595,-1.6100386103037745,0.001632181799039234,1.986632732545957,0.97853210369311272,-1.0947847386244685],\"z\":[2.9518279677191748,1.3017032986441628,-1.9399180764397606,3.6978158598700537,-2.1789520138939844,-2.265229021950625,-2.2787847871026026,1.3253179436484352,-2.2135410660943018,-0.93923786823358379,1.0894958620825783,-1.4219024533471092,-2.0867083424767481,-1.5206691378792747,-0.75032225792016827,-2.3108218068322168,-0.67585364524926983,-1.3561985844811424,3.8996264582434668,-0.64909449760522686,-1.76178578083124,-2.2377672547539698,3.5967497473517431,-0.30704352800454943,-1.7225137109002098,-1.3853454941948875,-2.1559827679833399,-0.86793092434015118,-1.3924358243187889,1.4042644148627297,-1.821381842537783,3.5530161505499853,0.98550584371481098,-2.3419442528923975,-2.1788525933464991,3.2558207159796728,-2.2525081986626612,0.53705961461458362,-2.2550762051781641,-1.9782958382805809,0.091932917193509656,-2.1630576008995996,0.074111575440503674,3.7152385359564795,-2.1676068658074366,0.53535660560522236,-1.2108956927498802,-0.54538110439386212,-1.3287616128167137,-1.5036745423516258,-0.37801322881784288,3.1907698756018652,3.613076413230039,-2.3255999440392481,-2.1386235112389551,-1.9102948064049705,-1.6672747487267479,-2.2741632813652979,-1.2433543557366356,-1.8756244534691795,-1.6513920182427391,1.3640479093352333,-1.6264961117943748,1.6988180523673073,-1.7870245331963523,3.5120024328986181,-1.7200847024163231,1.2466590052405373,-0.77255121414270245,-1.1383841389855369,-2.2288358563622461,-1.8078728074273094,3.7306248789587988,3.3254556303778662,-2.2689855450829493,-1.5432904118737205,3.6391958838263525,-0.025705700560472888,-2.3450262898644434,-2.0848410481652246,3.0285789614478125],\"text\":[\"Cell:GATGAAAAGTTGTAGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTCGTACAGAGGTTAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCTGCTTTCCTCGCAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGGTCTGGTAAACCTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGACAGAAGTGGAGAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTAATGGAGCCGGTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGAACATCAAGCGAGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCACGGACAGATGAGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TTCTACAAGATCGATA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCGCGATTCGCGTAGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGCGCAGTCTGCCAGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAGAATCGTGTAAGTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGACTTTAGGTCATCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AAAGATGAGTGAACAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGGCCACAGCTGTCTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AACTCAGAGAGCTGCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCTGCTTTCTGGTGTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGTAGTCCACATGACT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGTTCCGGTCAGCTAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCACATAAGCAATATG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGTGGTACAGTCGATT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTCAGGAGTCATCCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTTCGGGAGTCACGCC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCTCTGATCATGTCTT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCACATATCACGGTTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TACGGATAGTTTAGGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTCAGAATCAGGTTCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AAGGCAGTCCGAGCCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGCGACTCACCAGGTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCTTCGATCAAGAAGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGCTGGACACGGTAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAGTAACCATGCCTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTTAACTGTCGGGTCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCTACACAGATCCGAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCACTCTTCCGGCACA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAAGGCCTCGTACCGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGGCACTTCACGAAGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ACTGATGTCCCTAACC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GATCAGTTCGGCGCAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TAAGCGTAGATCGATA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TATGCCCTCTTCCTTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCTTCGATCCTGCTTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCTGGGTCACGAGGTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AACACGTTCCGCGCAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCTTTCCTCGTCTGCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GAGGTGAGTCCGAGTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGTCCCAAGTTTAGGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGGGAGTCACCGAATT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGCGTGGAGGTAAACT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGAGTGGGTCACCTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GACCAATAGCCGGTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCGGGATGTACCGCTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CATATGGTCAACACAC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGTGGGAGTGGTCCGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AACTTTCGTGACCAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGCTACCCAGGGCATA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGAACTTAGGTTACCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TTAGGACGTTCAGTAC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTTTGCGAGGAATGGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTCACTCATAGTAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTACTCCCACGTCTCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGCTCCTAGTACACCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCTGAGATCTGAGTGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGATTGCTCCATGAGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCTTACGCAAGGTGTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTCGTCATCTTCTGGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TTCTACAGTGTTGAGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ACTGCTCAGATATGCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ACATGGTCAAGGACTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGCGTGTGTCCGACGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCTGAGATCTTGCAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGACTAGCAAAGGTGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCTCATACAGATCTGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TATGCCCTCTTACCTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TTGTAGGGTTGTTTGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGGAATGGTCGGCTCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTATTCTAGGTGCTTT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGGCCGTAGAGGACGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCACGAATCCTATGTT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCACTACAGAGTACCG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ATGGGAGTCGGTTCGG
group.by:Ngn3 low EP
color:Ngn3 low EP\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":\"rgba(31,120,180,1)\",\"size\":1.5,\"line\":{\"color\":\"rgba(31,120,180,1)\"}},\"showlegend\":true,\"visible\":true,\"name\":\"Ngn3 low EP\",\"textfont\":{\"color\":\"rgba(31,120,180,1)\"},\"error_y\":{\"color\":\"rgba(31,120,180,1)\"},\"error_x\":{\"color\":\"rgba(31,120,180,1)\"},\"line\":{\"color\":\"rgba(31,120,180,1)\"},\"frame\":null},{\"x\":[2.2261005705557766,2.1073290175162258,2.9162017172537746,1.5391832655631006,0.99059940039739014,-2.0335786277092991,0.38131273448094727,3.030913478728384,-2.6897437506951389,-2.6104623013772068,-0.54905425846949218,1.6613651579581201,-1.8538612061776221,-0.83209495336189865,2.0549773043356838,0.098260707255452884,-2.8081093961037693,1.0950797861777246,2.9624165362082424,-4.4374476605691013,-1.624504380825907,-4.3515030080117283,2.5913709467612209,-4.4706221753396092,2.4976972407065334,-1.3357294732369482,-5.9334925347603855,-2.4768989020623264,-1.037919633988291,2.3759418791495266,2.7511712378226223,1.5081285303793848,-0.72175849691405891,0.64330697714909912,-3.0602270299233494,-1.4495434695519507,2.8299533194266262,-4.2111350232399998,0.23066902815923096,1.9107128447256982,0.70927036463841797,-5.8193434411324558,-1.0728792184628546,-3.1521202260293064,-2.0283108884133396,3.2670952147208157,-5.9730290108956394,2.1166299647055569,-4.364221208695322,1.3716536825858057,3.0642060106955471,1.272380716200918,1.0198576515875757,0.31130755602940918,0.48062289416417481,-2.3665174180306492,-5.9691227608956394,-4.2681220704354343,1.7590841120444238,2.3529039686881008,-0.9730303221978247,-3.8963805371560154,1.8053032225333154,1.4098991221152246,1.1200755900107324,2.8175944155417385,-0.59149248242750763,-3.3063419991768894,-0.87759719878807663,-0.5074914628304541,-3.2771187955178318,1.9640537565909326,-0.085499518517404782,-4.0895787411965427,-0.86872646302357315,2.4695133036337795,-2.384531849030405,1.4761222666464746,-3.9497762852944431,-3.4777868920601902,0.21113300978764893,-1.4480543667115271,-3.8526743584908543,1.3883909052573145,3.1511603659354153,-3.804554575089365,3.0774141615591946,0.93153310477361084,1.4240881270132959,2.2761439150534573,0.052783197756856692,2.5774887865744533,-0.94558409691229461,0.027312404509633792,1.9600929087363184,-1.161150538329035,2.0367411440573635,-1.1332349711693823,-3.4096795254983006,-2.2627447778023777,0.045447177287191165,-4.5587662392891941,0.053109652396291507,-1.2834967309273779,-4.200078838471323,-3.4720481568612156,0.63916409670934082,-1.5372922354973853,-1.2227924102582037,-4.1958619290627537,-1.2761777573861182,2.6533113783560696,0.9623799389563501,-4.1175070935524998,-1.0130716794766486,-1.6983771258629858,-0.42723717630282043,3.1376510924063625,1.9586480921469629,0.26568508803471924,0.054381198283284915,-1.6567391091622412,-5.8124340707100925,1.3539816206656397,1.1747036045752466,2.9863430327139797,1.6804815596304834,-2.8448234730996189,-3.0699297124184666,-0.72990534544363617,1.5948706930838525,2.3977209395132961,-4.2920180493630467,1.7521566218100488,1.3041571444235742,3.0737329786978664,1.1023757523261011,1.7036799257956445,0.59107614218816162,2.3053306406699123,2.9427760904990139,1.3651951616965234,-2.5972028905190525,-2.0195505553521214,-3.0853332215584812,-1.1161883407868445,-1.4426591330803931,-0.39783977806940674,1.6526974505148828,1.1953849858008325,2.820102817412466,-2.4362351828850803,-2.8257852727212009,3.0882600611411037,0.37636244952306153,-0.12059801161661743,-4.0914295846261082,-4.4639335805214939,-2.6130442553795872,-3.0593122178353367,0.73053050696477295,-3.4760218793191013,1.3216131991110742,-4.2893997365273533,-4.0317429238595066,0.63557816207036377,-5.845271938446909,-2.9065550500191746],\"y\":[5.2746326009389009,5.4130541364308442,5.4319583455678071,6.2332655469533051,6.1666990796681489,5.3556334058400239,6.3171145002003755,5.2868897000905122,4.8468886891957368,4.9130069295521821,6.13976636329852,6.2563449422474946,5.4354602376576509,6.1034232656117524,5.5023647824879731,5.8229342977162446,4.7440544644948091,6.2671872655507173,5.0375486890431489,3.053478149568662,5.6170193235035981,3.2245275060292333,5.7760783712025727,2.9275032559987157,5.709130434190854,5.8569709340687837,-2.2853716333750635,5.0284039060231294,5.862429765855893,5.8193899671193208,5.4614092389699067,6.1978861371632661,6.0330149213429536,6.2791606465931977,4.5317422429677094,5.8063866178151216,5.2906090299244966,3.2060834447499365,6.0053149739857759,6.1403819600697602,5.9290868322011079,-2.4628283699396998,5.7512680570241059,4.4477821866627778,5.3866788426991548,4.6404534856434907,-2.0194360931757838,6.0664698163624848,3.1053611318226904,5.6490041295643891,5.1439806501027192,5.9288293401356782,6.3557030240651216,6.2044831792470063,6.2774120847340669,5.1079546491261567,-2.3111585100535303,3.1498731652852148,6.2456165830250825,5.6828376332875337,5.7339288274403657,3.6446587125416845,6.1587616483326997,6.3113709966298188,6.5101992169972505,5.3173429051991548,6.0811940709706391,4.2911726514454926,5.8067003766652192,6.1516915837880219,4.3087302724476899,6.1059791127797212,6.155241159593686,3.4106136838551611,5.7471791783925141,5.5046383420582856,5.0971418897267426,6.0172392408009614,3.5790030042286962,4.1195961515065278,6.0665365735646333,5.9222551862355317,3.6644283811207861,6.5097676793690766,5.1191674749013032,3.7342983762379736,5.1614891568776216,6.5140706578847016,6.2066051046010102,5.8738400022145356,6.3667241613026704,5.6343637982960786,5.7960950414296235,5.9886652509327973,5.5834752599354829,5.8752571622487153,5.6014906446095551,5.8410164395924653,4.2020098249074067,5.1850587407704438,6.1284867803212251,2.7336803952809423,6.1840998212452973,5.9258219281788911,3.3085028211232275,4.1155492345448579,6.0061265508290376,5.63598218361102,5.893799451982602,3.2949859181996435,5.6860047856923188,5.159546522295102,6.3522821942921723,3.3782621900197118,6.0290595571156587,5.5554124395009126,5.9120933095570649,5.0785557309743012,5.1376625577565278,6.1707736531849946,6.1084958593007173,5.6331044713612641,-2.0892197807673365,6.5054933110829438,6.4476925412770356,4.3693019429799165,6.2552506009694184,4.7233945409413423,4.447622923051938,6.0066849271412934,5.8363801519032563,5.3818947354909028,3.1574496308919042,6.1509872953053559,6.3953572789784516,4.580111650621518,6.4420615712758149,6.0136028806325044,5.9267965833302583,5.8210684339161958,5.3366757909413423,6.5767537633534516,4.927673963701352,5.3576818982716645,4.4954034368153657,5.8734637776967134,5.6830383817311372,6.1165787259694184,6.33929028907977,6.3083335439320649,5.3751651326771821,5.0579430142994966,4.7141295949574555,4.8203302899952973,6.2412511388417329,6.1266581098195161,3.4219328443165868,2.9060088674183935,4.8964935819264497,4.5343104879017915,6.2357431928273286,4.1006461660023774,6.3245631734486665,3.1740800420399755,3.4705716649647802,6.1151291410084809,-2.3007143457774073,4.6611811200734223],\"z\":[-0.44043216650094835,-0.5616598481377586,-0.31387249176111071,-1.2055859917839988,-1.3542396182259544,-2.1132080907067285,-1.6255686635216697,-0.24576518480386583,-2.0971832627495752,-2.1370454186638819,-1.8430841321190818,-1.1801981085976585,-1.9414627904137596,-1.8734398240288719,-0.61538109724130474,-1.3837494010170921,-2.0628683919152246,-1.2380369061669334,-0.04046544973459093,-2.2872708195885645,-1.9020243043145164,-2.3881311768731104,-0.55646727029886089,-2.29292706195917,-0.61775795166101299,-1.9200106019219383,3.3954834585944189,-1.9662084931572898,-1.9525401944359764,-0.7145071381768211,-0.39546743576135485,-1.191149269982241,-1.8639381283959373,-1.5883779877861961,-2.0808737630089746,-2.0323360318383203,-0.31565431301202623,-2.1747932786187159,-1.7282541150292381,-1.0145118588646873,-1.2757071608742698,3.0760864859381689,-1.9826200360497459,-2.2039041871270166,-1.9775553101738914,0.39048799331579359,3.4803926592627539,-0.93725935165490948,-2.2304728383263575,-0.9748978966912254,-0.12677953188028185,-1.2205983752449974,-1.5190250033577903,-1.6133187169274315,-1.6711378449639305,-1.9866021031579002,3.3351301794806494,-2.2626276368340479,-1.174794232293032,-0.67436913196649395,-2.0363965386589991,-2.3249888772210108,-1.0659122819146141,-1.3062185401162132,-1.5945712680062278,-0.27938840334024279,-1.7441013211449607,-2.164802586480044,-1.8035307282647117,-1.8367646092614158,-2.3312256688317285,-0.99145928566064678,-1.666209256096743,-2.2612905854424463,-1.8348224515160545,-0.4968474263390526,-2.07944730465021,-1.1020439023217186,-2.2726106995781885,-2.1356568688591944,-1.7008445615014061,-2.0458758229454981,-2.2152846211632715,-1.4801934117516502,-0.10410792176332323,-2.2278192395409571,-0.13142303173150865,-1.6909764165123924,-1.2234360331734642,-0.77642956916894756,-1.5766607875069603,-0.59248397295083843,-1.8778262490471824,-1.7005379552086815,-0.69823590461816631,-1.9868114346703514,-0.68850151245202862,-2.0254648083886133,-2.194324767037295,-2.0157058591088282,-1.6327367181023582,-2.2361541146477686,-1.6785416955193504,-2.1124124879082666,-2.3127229565819727,-2.2501683587273584,-1.3766488188942894,-2.0111916417321192,-2.1199062222680078,-2.290758168145083,-2.096262490197085,-0.27862081472482531,-1.4190649146279319,-2.3407025689324366,-1.8264146203240379,-1.9832051152428611,-1.8238900059899315,-0.027806436463259143,-0.41647366230096666,-1.6951468342980369,-1.6321361417016014,-2.0279355401238428,3.457516396597959,-1.4419619197091087,-1.5193666571816429,0.36929347710032018,-1.1791127080162986,-2.1008479947289453,-2.2355978841027246,-1.8953039998253807,-0.94540134613122784,-0.45946708862390367,-2.2672367448052393,-1.0933958644112571,-1.4476848000725731,0.26201189513597639,-1.4810302609642967,-0.99898735229577862,-1.5146830434044822,-0.72990480606164776,-0.27807972375955431,-1.5701052302559837,-2.0571282262047754,-2.0708632821282373,-2.1535916680535303,-1.8206553811272606,-2.0084650868615137,-1.80182484333124,-1.2646129483422264,-1.4033933037957176,-0.47724065725412218,-2.0032043809136377,-2.0061273926934229,0.086906844929792004,-1.5733874196251854,-1.7488398904046043,-2.2866111153801905,-2.2330105656823145,-2.0383117551049219,-2.1218195313652979,-1.4674115533074363,-2.2123680466851221,-1.3827655667504295,-2.3801901692589746,-2.2359147423943506,-1.4216475838860496,3.2512380724707617,-1.9708857888421043],\"text\":[\"Cell:GCTCTGTAGCGTGAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCGTGGACACGAAGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GAACATCAGCAATATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCACACGTCACACGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGACAGATCAGCATGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTGGGTGTCTAGAGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTTGGCTCAGCCACCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTACGTACATCGATGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACATCAGTCCTTGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCGGTCGTCGAATCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTAGTGACATTGAGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGGAGGTTGGACCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTGTAATCATTATCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGATCACAACCGCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTAGTCAGTCCGACGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGAATGTCGACCAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCACAAGCACCGAAAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCGGGACGTCATCGGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGCCAGAGGAACTGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATTATCCAGACCCACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTGAAACTCGATAGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCCTCCTAGACCCACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AAGACCTAGTAGGCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACACCTGTCGCTTTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCTTAGTCGCAGGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATGCCTAGTGGTAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AAACGGGGTGAAATCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTTACTCAATACGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGGTTAAGTCTAGCCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGTTGGTGTCGCATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTGCTCGTCCTAGCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCTCATAAGCAGATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCAGCCCAAGTCATC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTTACTGTTTGGGCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AACTTTCCACAGTCGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATGCCTTCGCACTCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCAGCCGTCGCATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATGCGATGTTACTGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCTGGTTCCCAGGTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TATTACCGTTGAGTTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCTCTGACATCGGTTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGGGAGTAGGGTATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGAGCTTTCTTGAGGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGAGCATGTTAAAGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCGCAGTCTCTTATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AACACGTTCGGAATCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTGATGGTCGACTGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTGCTGTGTTGTGGCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACCACTTCAGCTTAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCGGGTTCCAGGGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGGGATGTCGCATGGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCATGCGCAAATTGCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTAGTTCCATGAGCGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCTTGATCAACACGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGCAGCAGAGGTACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCCAAACATGACATC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGAGCGACACAACTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCCTCTAAGTCCGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GACAGAGCAGTCAGAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AATCGGTGTCACACGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCCGATTCAGAGACG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGTCTTTTCGTACGGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCCCAGAGGATTCGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCAATTCATCTCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACCAGTAGTCATGCCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AACACGTGTGACTCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGACCTAGCTGCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AATCGGTCAAACAACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGGAGCTGTACATCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATGGCGAGAGTCTGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTACACCCAGGGCATA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGGGAGTGTGTAAGTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATCTAGCATCACCCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTGCGACAATCGGTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCTTAGTCGGCGCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TAAACCGAGGATGGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTTAAGCTCCGCATAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTCAGGCAATCTGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGGACGCGTATTCGTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGTAGTCAGCGTTCCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGAGCCCACCTTGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATGCTACAAGCGCTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTTAGATCAGTCAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAACCTCAGCGTGAAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCGTGTCACCAGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCGGTCAGGTCGGAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TAAGCGTCAATGCCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACAGCCGCATCGTCGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AAGGCAGCAGTACACT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACATTTGTATAGTAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCTCTAAGTGGCAAAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTTCTGTCACAATGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGCCGAGTAGCCTAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TACGGATTCCAAGTAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCTACACCATTATCTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTGAAACTCTGTTTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCATGTCTCCGCATAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCAGCCGTCGAACAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGCACTCAATGAAAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AACACGTGTCGGCTCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GACACGCAGTATGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGGGTCCATGATCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATCAGTTCCCGGATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCTCAAAGTACGCGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGAGGTCTGTTGAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTAACTCCACGAGAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AATCGGTCATATGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCATACCAATGCCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTACTTTCATGGTCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAGCAAAGCGATGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TATCAGGCACCAGTTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCTACCCATAAGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGGTCATTCTGCGTAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGTCCCACACGGTAGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATCAGTAGGTTCCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATGTGTGTCAAAGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTAAGACTCACTCCTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACACCTCATTGTGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTAGGCAGTGTGAATA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTGCAGCATTCTCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCATGTCGTTTGCATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGGTCCGAGTTACCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGCTATCCAGGCAGTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGTTGGTTCACATAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATGCTAAGCGATAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATTATCCCAACTGCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AAATGCCCACCAACCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCTAATTCAGCGACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTTAGGACATCTATGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATCTACTGTGAACCTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGCTAAGTACCGAGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GAATGAAAGAATGTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCGGTCGTACCGAGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCCGATGTCAAACTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AAGACCTAGGTGTGGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAGGTACACGGCCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTGATGCATCAGTAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTTCTGAGAGCAATT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCTCTAATCAAAGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACACCCTGTCAGATAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TACACGAGTGCAACTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTGCGAAGTATTGGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGACGTTTCGAGCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGGCCGTCACGACGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGAGGAGTGGAGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGGAGAGAATGTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGCGACCATATGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TAGTTGGAGTCAAGCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGTGGGATCAACTCTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGACTTCGTTGATTCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATCAGTGTAACGACG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGCTAAAGCGCTTAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGCCAGTCCGCTGTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCGGGTAGACGCACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATGAGGGGTTCTGGTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGACCTTAGCTGCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTAACGTGTGCCTGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTCTGTAGCTGAACG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTGCTGTGTTATCACG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGATGTTCTGCTGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCGCAACCAACACCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCGTATCATCTCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AATCGGTTCCAAACTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCTCATAGTTACCAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCAATTTCCGAATGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGAAAGTAAAGTCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATAACGCAGCGTGAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCACATACATTACGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":\"rgba(178,223,138,1)\",\"size\":1.5,\"line\":{\"color\":\"rgba(178,223,138,1)\"}},\"showlegend\":true,\"visible\":true,\"name\":\"Ngn3 high EP\",\"textfont\":{\"color\":\"rgba(178,223,138,1)\"},\"error_y\":{\"color\":\"rgba(178,223,138,1)\"},\"error_x\":{\"color\":\"rgba(178,223,138,1)\"},\"line\":{\"color\":\"rgba(178,223,138,1)\"},\"frame\":null},{\"x\":[3.4359456366263332,4.2351423567496242,3.9708577460013332,3.6219369238577785,4.3770376509390774,4.0545412367545071,3.847624904509634,3.9018045729361477,4.1920338934622707,3.6923328703604641,4.3668023413382473,3.7928448981009426,4.0713917082510891,4.8751646345816555,4.1085463827811184,4.2631312674246731,4.57820618807897,3.4961906737051907,2.6465786761008205,4.0995417898856106,3.8413716620169582,2.2736622160635891,3.70802796542272,3.6548677748404446,3.8021856611929836,3.2827888792715969,4.3123055762015285,3.8091121977530422,3.6057592695914211,4.1241923636160793,2.8195403879843655,3.9710031813345852,4.3865267103873196,3.3374468153677883,3.2570606535635891,2.435252553816885,4.7850753134451809,2.9682651823721828,4.8723198240958157,2.3492690390311184,4.6895667380057278,4.2933746641837063,2.7530199354849758,3.6474958723746242,4.5781961744986477,4.4323755568228664,4.5063401526175442,3.5970946615897121,2.1566151446066799,3.7745324438773098,3.1083837813101711,3.4612490004263821,4.1436320608817043,4.5250836676321926,4.2586289709769192,3.5297552412711086,3.5055633848868313,3.8859354323111477,4.1719976729117336,4.5524135893546047,4.4845186537466946,4.2014442747794094,4.2126609152518215,4.3654242819510403,3.8542548483572903,3.9814606970511379,3.5537105864249172,3.8697253531180325,3.1247845953665676,4.3466187781058254,4.229857570525259,3.4561802214346828,4.840610629912466,4.2293235129080715,3.6268993681631985,3.7046052283011379,4.7917453116141262,3.8458415335379543,4.1579734152518215,4.6595903700552883,4.0381800001822414,4.6404048269949856,3.2200423544608059,4.5811253851614895,4.7884126967154446,4.401481277342886,4.4116336172781887,4.755299693938345,3.0617722338400783,3.975620395537466,4.3192216223441067,3.5511461561881008,4.6648203200064602,4.2700878447256985,2.4781998461447658,3.3287721937857571,4.0853062933646145,4.2413960760794582,3.7916637724600735,3.8577367132864895,3.9003025358878078,3.5305005377493801,3.975402004119009,3.9099475210867825,4.2384554213248196,3.2572733229361477,4.3663502997122707,3.1994730299673977,3.6767584150992336,4.8140150374136867,3.7020202940665188,3.9530860251151028,2.9427110022269192,4.6808501547537746,4.4028011625967922,4.4463373488150539,3.7730208700858059,4.4432860678397121,3.9047581022940578,4.7213956183157864,3.4439202612601223,4.6877924269400539,3.5073601072989407,3.8831917113028469,4.4032703703604641,3.6822696989737453,4.0674892729483547,4.1557580298148098,3.1759957140646877,4.5106087988577785,1.4348169630728662,4.1812874144278469,4.4462629622183742,3.1076239412985744,4.2609082525931301,3.3300324743948879,4.3253170317374172,3.4876762694083157,3.2579966849051418,2.067372447844595,4.6016327208243313,4.5009285277090969,3.7997213667593899,3.4761420553885403,3.1113175219260158,3.7827926939688625,3.7698017424307766,3.6942468947134914,4.6226311987601223,4.2988306349478664],\"y\":[4.5609880963917817,0.50371637741290032,2.8119253198262304,4.1861511746998872,0.84017362991534172,0.15182634988985955,2.8192738572712988,0.27459999719820916,0.21939983764849602,4.0774675885792817,1.6697985211964697,-0.10385725101269783,-0.1988587697390467,0.34204461971484124,2.5575565377827734,2.1375414411183447,0.85956921974383294,1.8917509595509618,3.767842916643247,2.1979185620900243,3.1931356469746679,4.6984931508656587,3.5393640081044286,1.3428472558613866,2.1670099774952978,4.2852317372914399,-0.45325485070981086,3.6995402852650732,3.7294951955433935,2.7750836888905615,3.9751702825184911,0.4742647687550634,0.72149756351672112,3.9998981038685888,3.9596087018605322,5.7198440114613618,-0.28739908536709846,3.2717842141743749,0.3640733043309301,4.7507134954091157,0.73337867656908928,2.081605819856748,3.7827760259266943,3.7065235654469579,1.4162239114399999,1.5153717080708593,1.6229487935658544,0.36135938564501702,5.0215751210805024,-1.1420734246615321,4.5590206662770356,3.5825807134266943,0.62264111438952385,1.2441510240193456,0.86365702549181878,3.1487597505208105,4.585175184404477,2.0458225289937109,1.9949585477467626,0.010975567495450367,-0.56223127445019783,0.02344634929858147,2.5385943929310888,1.6987279931660741,-1.3026901801470667,-1.002995671832934,0.19480547109805046,-1.5247779806498438,3.8057982007618993,1.8951307813283056,0.38730898300372063,3.9369875470753759,-0.15717074474133552,2.8287989179249853,0.73227992454729973,2.5828756372090429,0.50336995521746575,2.3629836122151464,2.4005526582356542,0.51691594520770012,-1.3538924773577601,0.19344046512804924,4.1527763883229341,-0.056277902925387036,-0.1896642764452845,1.5446392575856298,0.22592374483309685,-0.27326551278866829,4.9236470739003266,2.61355319420062,0.14958980480395256,0.086386946832761158,1.0987122336979955,0.34952881733141838,4.2672535459157075,4.3861509839650239,2.8075331727620214,0.50713565746508538,-0.50202726026810707,0.29471722046099602,3.2478906194325536,4.2867161313649262,3.5210286656972021,3.3192664662953466,0.70587757030688225,4.7605287114735688,1.2189218083973974,4.0836221257802094,3.0255440751668066,-0.095709474885836254,3.6926156560536474,3.3101173917409032,3.8065759221669286,0.62841287056170403,-1.8541104515437037,0.92590418258868157,3.815107492601499,1.2596484700795263,-0.8146330138090998,0.60548105636797844,4.515163091814145,-0.10162368615902961,2.0904172937031835,0.72523787418566643,2.2370673696156591,1.2412191907521337,2.9129666368123144,1.7064711133595556,4.272367624437436,0.87080135742388665,5.7142797986622895,-0.68009287318028511,1.5287803689595312,4.1398221532460298,2.3950490037556738,4.3881346265431489,2.1587850133534521,-0.22585761746205391,0.31341960827074944,4.9637571851368989,1.6926080266591161,0.85934927860461174,3.7592670003529638,2.2952796498890966,4.1018168012257661,3.4780861417409032,3.6925312558766454,2.8941611329670995,0.78922310272417961,1.0312146226521581],\"z\":[0.304718563512899,0.64212461765203632,0.90162458475027241,0.53898705001268543,0.8171541338721291,0.90080531890783466,1.0056945925513283,1.1263341551581398,0.76457359846029438,0.59330972488317646,1.3236580735007302,2.070060694769956,0.54968904908094562,0.87805118616018452,1.1078978424826638,0.92488339002523579,0.91635533626470722,1.2781826501647011,0.46906028892192991,1.1687112694540993,0.89649810846243061,-0.089318996115587634,0.84418412502203144,1.4481854086676613,1.1002716666022316,0.51729873772058643,0.053315753296948987,0.78582485969457783,0.86647834833059467,1.0202697759428994,0.47894205357227476,1.5054069405356423,0.95347877796087421,0.71669798548612751,0.71361448820028461,-0.63729122821893536,1.0498764162817971,0.74070682580862202,1.1636628156462685,-0.078878974362276477,1.0581040626326577,1.1477326398650185,0.5173266773978249,0.72845580633077778,1.2826760655203835,1.2038882618704811,0.72548347170744099,1.6928121691504494,-0.30780450050439684,3.625844443396665,0.34684939514193686,0.84438320453558124,1.1257096772948281,1.1052656417647377,0.83087646420393146,0.9538275843420998,0.22020485456380995,1.2149381881514565,1.1280154829779641,0.9043699746886269,0.50072960014734424,0.80211066658888019,0.96546807344350971,1.1345819478789345,3.6591691618720068,2.6538922434607519,1.6922328120032326,0.32712042163405569,0.71589305456075825,1.0160376673499123,0.78435095603857197,0.6890948658743874,1.016341054991819,0.98261817748937763,1.5969053154746071,1.0060130005637185,0.99577304180059589,1.1097865944663063,1.0542903190413491,0.91778298671636738,0.69169294293317951,1.1021707301894204,0.62042188103590168,0.86326968129072346,0.70897960122022785,1.1404010897437111,0.70430269296560444,0.65383696015272297,0.038324529484845715,0.96169736440572895,0.58710421080980457,1.4361596947470681,1.1207342391768471,1.2783063894072548,0.19234318490419539,0.43814096058998259,1.0183514600554482,1.0044521933356301,2.3196100836554541,1.3633727675238625,0.85273441131506122,0.4339464550772682,0.61381466145906605,0.8688000386515633,1.4263145571509377,0.17524067516718062,0.9498038535872475,0.57061597164068378,0.98652752693090595,1.0880603438178078,0.72456821258459247,0.84601234848890461,0.62639995868597187,0.99976345355901874,1.2835021858969704,1.2228841429511086,0.67918309028539814,0.7745423858920113,2.6287481432715429,1.1270150786200539,0.32470682095084341,1.3079818731108681,1.2134255414763466,1.2605692392149941,1.1325286274710671,1.4199568873206154,0.94733711536321796,1.0536057596961037,0.47824824060592802,0.88447066600713886,-1.0324172133645042,-0.1337219232758507,1.0194046741286293,0.55220734532270588,0.92000427301321186,0.43237840588483961,0.99586179311666645,1.4584244137564675,1.845051730231382,-0.29265860263910143,1.1292436962882058,0.88943287189397968,0.69116958434972919,1.1443618779936806,0.56344146485719837,0.7448875253954903,0.73239692504797138,0.9550708180228249,1.0160740857878701,1.0070734267989174],\"text\":[\"Cell:AGTGTCATCGCCGTGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCGTGGGTCCCTTGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGAGTGTCTTCTCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TACAGTGTCCCTAACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCTCTCAGCGTGAGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGAGCACTCTAACTCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCGTAGATCTTTACGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCGTATTCTGCTGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGACAAGTCATAACCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACTACAAGCGTGTCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTATTCTTCACTTACT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAACGGGTCCGCGCAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCCTAGAGAGTGACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACGTTGTCAGTTAGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATTATCGTCATATCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCGCAACAGTGTACCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTTACTGGTTCGTTGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTAGTCAGTACTCAAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGAGAGGTACCGTTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATTATCTCTGAAAGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTACATTCACCGTTGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCATTTGCATTGGCGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGTAACGTCTGATCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATTTCTGAGAAGATTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCTAATTCACCATAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGCTTCACAGATCGGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGTGTCTCATACTCTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATATGGAGGCCCGTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCTAGCTCAGGTGCCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTGAAACTCAAACCAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTTCTCGGTTTGTGTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACTCTTCACTCGACG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGTCCCACGTAAGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGTCACTCAGTATAAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGCTCGAGTCGCTTCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAAGAAACACTAGTAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGTGAGGTCTGTTGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCCAAATGTAAACACA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGTAGCGAGACTGTAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTAACTGGTCACTGGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCTACGCACTAAGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCGGAGGTGAAGGCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAAGTTGTCTAACTGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTGTAGGTCCAAATGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCTCAGTAGCGTAATA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGTGAAGAGCAGGTCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATGTGTGAGTTTGCGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCCCTAGTATCGCAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGGGCTAGACTTGAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCGTACTGTCAGAAGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATCGATAGAAAGTGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCCATACTCGTGGACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGTGGTAAGAGGTTAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACTGGTGTCGAGTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGCTTGTCACTTCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATCATCTTCAGTCCCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGTGTCACACCAGGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTAATGGCATGGTTGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACACGTGTCGACTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTGAAGTTCTGCGGCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGATCGGAGCTGCAAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTGTAGGGTTACGGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAGCCGCGTTATCCGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAGTCTGGTCTCCATC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACTCTTAGCTAACAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACACGTAGTAATCCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GAGCAGAAGCCAGTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTGTGCTCAGCTCCGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTCTTCGAGCGTGAGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAACCAAAGCGTTCCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATCAGAAGTGGTAAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTATGCTTCCAGTATG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCGTGGAGGTTCCTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGATTGCCACAAGCCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATCAGATCATCGCTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCTTTCTTCTTCGAGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTGGAACGTCCGTTAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTGCAGCTCGTTTATC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGATTGAAGTTAGCGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGGTTAGCAGTCGTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGGTTGCTCCCAGGTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTCTCAATCACTCCTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGTCTTTGTCTAAACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCGCGAGTCGACGGAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGCTGGTCGCCGTGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTGTTAGAGTTTCCTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTTCTCTAGTACTTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGTTGGGGTTTAAGCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATGCGATAGAAACGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGACGGCGTCAGGACA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATCTGCCGTCATATGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGATCTGCACCAGGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATCGTACAGGCGATA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGTCTACTCAGTCCCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGCAGCGTCAACTGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATGCTATCCCTCTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTAACTCCACGCCAGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTAGGCAGTTAAGAAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTACTTTAGATATGCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTGGGTCGTAGGAGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GAACGGAAGACGCTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATCGTAAGTAGGTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCATGTATCACGATGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGCGTTTGTATTACCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGCTCAGGTGTTAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTCGAAGTCAACGCTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGGACGCAGATTACCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGGACGCTCTTGTTTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCCAAAAGCGCTTAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACAGCCGAGAGAACAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGACGTCGTCAGAAGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGGACGTAGACAGACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGAGTGGCACCTCGGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACCCACTTCTGAGGGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGATGTTCGCAGGCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGACAACTCGCACTCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGCTTAGATCTGCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGGACTGTCGGACAAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TATGCCCAGAACAATC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACCATGGTTGAACTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGCATAGTAATAGCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCACCTAGATAGTCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGCTGGGTCTAACGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTCGTAAAGGTGATTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTGGTCTTCGTTACAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAACCTCGTCTAAACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCCTCTAGTGACTACT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGGGTCAGATGGCGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGCGTGTTCGTGGGAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTCTGTAGCCACCTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGTGAGCTCACAGGCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCTCTCAGACATAAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATGACAGTCATGCAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCAGATGCACTCGACG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGAGCCGTCTCTGAGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TACTTACGTGTGGCTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTGCGGTCAAAGCAAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TAGAGCTAGTGCCATT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGCAGCCATTCTCAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGATGTCTAGAGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGAGTAGCTAGCCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCACTACAGAGCTGGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGTGTTTAGCAGGCTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACAGCTATCGAGCCCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCGCGTTTCTCTGCTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGACAAGTCCGCGGTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCCCTAAGTCCGGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGGAATGAGGAGCGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGAGCCAGTTCGCAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGTGGGACAGTATCTG
group.by:Pre-endocrine
color:Pre-endocrine\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":\"rgba(51,160,44,1)\",\"size\":1.5,\"line\":{\"color\":\"rgba(51,160,44,1)\"}},\"showlegend\":true,\"visible\":true,\"name\":\"Pre-endocrine\",\"textfont\":{\"color\":\"rgba(51,160,44,1)\"},\"error_y\":{\"color\":\"rgba(51,160,44,1)\"},\"error_x\":{\"color\":\"rgba(51,160,44,1)\"},\"line\":{\"color\":\"rgba(51,160,44,1)\"},\"frame\":null},{\"x\":[3.7621866530142727,2.4181076353751125,3.398643142577261,3.8295599287711086,2.0342673128806057,2.4987086123190823,2.9429088896475735,3.2023011511527004,2.6003462141714992,2.5475879973135891,3.3667727774344387,4.0187827414236965,2.1945270365439358,3.8722015684805813,2.2298027342520657,3.2212067908011379,3.3210197752676907,4.114228851195425,3.3578559225760403,2.2872663801871242,3.8686019247733059,3.7571336096487942,3.8851114577017727,2.3921674555502834,3.4526020353995266,3.217281944151968,3.3088890379630032,3.3083731001578274,3.2845560377798977,3.9772955244742336,3.296350604888052,3.0680788820944729,3.2716742819510403,2.4087811773978176,3.1360293692313137,3.5372740095816555,2.3448590105734768,3.1923199957571926,3.8279835051260891,2.2619544333182278,3.278535491820425,3.7191401785574856,2.9881712263785305,2.7096418207846584,3.9326931303702297,3.9642750090323391,3.6278320616446438,3.2712379759512844,2.9602612322531643,2.2454253500662746,2.3493365114890041,2.5634144610129299,4.1718541449271145,2.6442028349600735,3.6401864355765285,3.8260375326834621,3.2268775767050686,2.7996984785757961,3.729941970702261,4.0360781019888821,3.8146392172537746,2.9567765063010158,3.6438437765799465,3.4250918692313137,3.875729209776968,3.7280699080191555,3.2782713240347805,3.7497507399283352,3.5195432966910305,3.5934301680289211,2.7622026270590725,3.8044158285818996,3.3259717291556301,3.2842856711111965,3.8533784216605129,4.1074754065237942,3.8849631613455715,2.6016289061270657,3.0065325564108791,2.8601588076315823,2.3237930601798,4.1839581793509426,3.864562160369009,3.0862537687979641,3.3152538603506985,3.0060921972952785,2.4848958319388332,3.3920031851492825,3.1617196863852444,3.5681854551993313,3.6677147215567532,4.1724149054251614,3.472437030669302,2.6585174864493313,3.3906790083609524,3.9301687544547024,2.5719155138693752,3.4785252875052395,3.0144556826315823,2.3118149107657375,3.1880821055136623,2.8559435671530666,2.4791776007376614,2.2596844500266018,3.568332797881216,2.4490696257315578,2.8570469683371487,3.0393348997794094,3.2402073210440578,3.6316906279288235,3.3765975302420559,3.1702209776602688,3.2740551298819485,3.8447271650992336,3.6187459295950832,2.32739413439855,3.7456418341360989,3.3688551253043117,3.51955140292272,3.7243415182791653,2.3243960207663479,2.9078658884726467,2.0899595087729397,2.9057635134421291,3.7435547178946438,3.6384803122244778,3.0052238768301907,3.4275070494376125,3.9032551115714016,3.4018317526541653,3.8511496847830715,4.7364717787466946,2.2328699892722073,2.710779315825552,3.4951072996817532,3.1732744044028225,3.1907359427176418,3.2129169768057766,3.3282324141226711,3.5844150847159328,3.6263157194815578,3.7311569517813625,3.9812675780020657,2.9845653837881985,3.4935313528738918,3.7417784994803371,2.7569011515341701,4.1806789702139797,2.5360230272971096,3.3869148558340969,3.3270999258719387,3.0483075445853176,2.6535900896750393,3.3949061697684231,3.2922116583548489,2.3679226702414455,3.466514236327261,3.7150350874625149,2.9753459757529201,3.6715747183524075,2.7764593428336086,4.1185156172476711,2.7369030779562893,3.1518148249350491,3.1259836024008694,3.1491898363791408,3.4683419531546535,3.6988960570059719,4.2128936117850246,4.2010084456168117,3.3830891913138332,3.9067779844962063,2.5168422526083889,3.9831935232840481,3.8944641417227688,2.5652514761649075,3.6086574858389797],\"y\":[-1.4919820149783045,-1.9571644981745631,-2.0396699627283961,-3.4751935919169337,-2.1729515512827784,-2.3668752630595118,-2.4883317669276148,-1.8098151405695826,-1.9278317411784083,-2.0975117405299097,-1.8467319925669581,-1.251596780622378,-2.157822104299441,-1.0692414363268763,-1.9240455349329859,-1.6339909156206995,-1.7581078728083521,-1.8575770576838404,-1.7020700295809656,-2.229204030836001,-3.5964950044993311,-2.7376447637919337,-1.4376525600794703,-2.0364881475809962,-1.3709589560870081,-1.8686189373377711,-2.2824387272242457,-2.5310460050944239,-2.1088388880137354,-0.79763170530833305,-1.4897038062456995,-2.0615666826609522,-1.839825483167544,-2.2612950523737818,-2.2965886314753443,-1.8899432142619044,-1.9679584225062281,-2.1638055761698634,-1.2093105038050562,-2.2468459328059107,-1.5329989512804896,-1.9681979139689356,-2.3324273546580225,-2.1642199476603419,-2.4249170740488917,-1.7407974918726832,-2.2259094437006861,-1.7920636852625758,-1.9738279302958399,-1.9679617603663355,-2.1719521005991846,-2.0415210445765406,-0.38922444185055793,-2.287687393033877,-1.1840383132342249,-1.5632042010668665,-2.4469978531245142,-2.1936223228815943,-1.0237523933295161,-1.9902027567271143,-1.7697127779368311,-1.8375985344294459,-1.5935382564906031,-1.7216208895090968,-2.1834809502009302,-3.3768814524058253,-2.4847284277323634,-1.6008018573168665,-3.0228110273722559,-0.93845525583066047,-2.2699178179148585,-0.8309136574510485,-1.6082303841952235,-2.2054419239405543,-1.7407530268076807,-0.99471473892964424,-2.0636211355570704,-2.367948623502627,-1.582632096612826,-2.3592964132670313,-2.2031477411631495,-0.67533974921144546,-1.1334699412230402,-1.9919628818873316,-1.6391935070399195,-1.9409398754481226,-2.4444392641428858,-1.4317240436915308,-1.9907366951350123,-3.2294615229014307,-3.53181395133771,-1.6996605714205653,-3.1247032602671534,-2.085426183545962,-1.5759708603266627,-1.6945940574053675,-2.3305705507639796,-1.2722177823428065,-2.1448111256007105,-2.1053601225260645,-2.5852859934214503,-2.1020459850672633,-2.2779335697535426,-2.2577160318735987,-3.34799465736188,-2.1494937857035548,-2.0817610939387232,-1.8661416490916163,-1.8260016163233668,-2.8897417505625635,-1.8608510216120631,-1.7897350510004908,-2.0897912701014429,-2.7128883322123438,-3.5607670267466456,-2.3022573908213526,-1.7962529381159693,-2.1413491686228663,-0.82106331934966148,-1.225744934881106,-2.0825966318491846,-2.0013136585596949,-2.2594849785212427,-2.4243255575541407,-1.9548871239069849,-2.8337613066080958,-1.8718189915064722,-3.0737915953043848,-1.5176588614825159,-2.2236046512965113,-1.3247968276385218,-0.46185544332303108,-2.3060733993891627,-2.1491220911387354,-1.5088147242907435,-2.2488428076151759,-1.7824537475947291,-2.2426744421366602,-1.4334760030154139,-3.3568438013438135,-2.4426278789881617,-1.2338218410853297,-1.6460498293284327,-1.8912765701655299,-3.2408536394480616,-1.6100855191592127,-2.2150703390482813,-2.3358186205271632,-2.3687793930415064,-2.3304073532465845,-1.5694117864016444,-1.7597033699396998,-2.0698828419093043,-1.584379287565127,-1.6249425133112818,-2.2207362373713404,-1.4646193703059107,-1.3077832778338343,-1.9619347771052271,-1.2854562123659998,-2.1670902689341456,-1.1525176187399775,-2.3812174518946558,-1.7061382254008204,-1.8804079016093165,-2.3546580990199,-1.5766496380213648,-3.1263745745066553,-2.0799854715708643,-0.87494377990998329,-2.0003306587580592,-1.4531759341601282,-2.2370871027354151,-1.8131473978403956,-1.845871420705691,-2.3646841963175684,-1.660240681970492],\"z\":[-0.11627197806444017,-4.4422009343346582,-1.8901479596337303,0.53710638935957111,-4.4041054600914942,-4.1149027699669825,-3.1062190884789453,-2.2322132939537989,-3.3646304959496485,-4.3691227788170801,-0.46031162683572618,0.32114868070278318,-4.064512526436709,-0.74776128475274883,-3.9802940243920313,-2.0720038766106592,-0.65203252975549542,2.8522421961585058,-1.0633577460488304,-3.7735307568749414,0.60138397868070759,-0.051875984116457385,-0.086225038214586658,-4.4389136189660059,0.021782869652844983,-2.4634974354943262,-1.6111193055352195,-1.2857990616997703,-1.8620951527794822,-0.32135615293588488,-1.5736995095452293,-3.5662513131340967,-1.3430507535180076,-4.1679814213952051,-2.0094900483330713,-0.47995248977746813,-4.5793383473595606,-2.3771019334038721,-0.026652877970598621,-4.1024010533532129,-1.7098124379357322,-0.7162318581780418,-3.2276380414208399,-4.0884254330834375,0.3903947194973007,0.47066290880832823,-0.23120782320108263,-1.7653222436150535,-3.3801544064721094,-4.5782168263634668,-4.1809685582360254,-4.282156741066836,0.66199704463873066,-3.7606008404931055,-1.0677769536217674,-0.76174894516076885,-2.7273321503838526,-3.567005431099795,-0.79229167644586407,0.58494160528574146,0.15209474618826063,-3.9850170964440332,-0.17860732023324816,-0.40273997728433458,0.15176876838598402,0.055805141285993176,-1.7222819680413231,-0.60229984466638409,-0.59038505498971783,0.43357135187182577,-3.7645094746788965,-0.038051163597963733,-2.0130548829277979,-1.5762316340645774,0.37313892850000413,-0.19997534696664659,0.25911098177824171,-3.8196928853234278,-2.5635261887749659,-3.8914845341881739,-3.7873032445153223,-0.26055273954477159,-0.54610196296777569,-3.0372295731743799,-1.5385767573555931,-2.8063612336358057,-3.5016446465691553,-1.2706771249016746,-2.2016206139763819,-0.47989234869088976,0.068220908001996594,0.83226543124113239,-0.759559070511721,-3.9743526334008203,-0.90193072502221905,-0.17401996795739977,-4.1374972218712793,-0.55257776920404278,-3.3035679215630518,-4.1635878438195215,-2.2192685956200586,-3.7493899220665918,-3.3233628625115381,-4.3238962048729883,-0.34779039566125719,-4.0978777760704981,-4.0356600636681543,-2.7837984914025293,-2.0716970318993555,-0.1683719510277733,-1.7157409543236717,-2.3975520486077295,-2.1207371110161768,0.2165401970902458,-0.029214953823946399,-4.0652792805870996,-0.19649956171121447,-0.70852748100366436,0.39061276912037285,-0.55698255245294415,-4.1977947110375391,-3.9814703816613184,-4.2355239743432032,-3.340039288445376,-0.14701214973535387,-0.26648065988626329,-2.7126224393090235,-0.97862473671045147,-0.32925484125223009,-1.2759771699151023,-0.021791195317171497,1.2915099507132546,-4.3823464268883692,-3.7586329335412012,-1.5040309781273826,-2.5591385716637598,-2.0850282067498194,-2.057024037285708,-1.065495407029055,0.13675721939001234,-0.37930515949334948,-0.45669290964212267,0.40754000674281271,-3.0717862004479395,-0.66270211879815899,0.1166816001692787,-3.6352956647118555,0.94751032646093525,-3.5108058804711328,-1.6976774090966209,-1.3610468262871727,-2.3510797375878321,-3.4881890172204004,-0.610877429886721,-1.5956042165001854,-3.7950709218224512,-0.4825310463150963,-1.1418389434060081,-3.9941161030968653,-0.82482949440088116,-3.5396340245446192,0.044734383181668835,-3.2960760945519434,-1.9356620663842186,-2.3733580464562403,-2.5346234196862207,-1.3125818127831443,-0.012733524485491199,0.95320072229299702,0.21816810424719008,-0.63467577640619122,-0.38111028616037218,-4.1484949940880762,0.51448547299299396,0.3882182344729081,-3.5063732022484766,0.11523925717268141],\"text\":[\"Cell:CACAGTACATCCGTGG
group.by:Beta
color:Beta\",\"Cell:ACCGTAACAAGGTTCT
group.by:Beta
color:Beta\",\"Cell:CCACTACAGGTGGGTT
group.by:Beta
color:Beta\",\"Cell:CGTCTACAGATGCGAC
group.by:Beta
color:Beta\",\"Cell:CAAGGCCCAAGAAAGG
group.by:Beta
color:Beta\",\"Cell:CTCTGGTCAAGACACG
group.by:Beta
color:Beta\",\"Cell:TAAGTGCCAATAGCAA
group.by:Beta
color:Beta\",\"Cell:TGTCCCAGTCTCGTTC
group.by:Beta
color:Beta\",\"Cell:CGGACTGTCTTGAGAC
group.by:Beta
color:Beta\",\"Cell:GGTGCGTTCTGGTATG
group.by:Beta
color:Beta\",\"Cell:TACCTTATCCGATATG
group.by:Beta
color:Beta\",\"Cell:CCAGCGACAGGCTGAA
group.by:Beta
color:Beta\",\"Cell:GGCAATTGTAGAGCTG
group.by:Beta
color:Beta\",\"Cell:CGAATGTTCTTCATGT
group.by:Beta
color:Beta\",\"Cell:CCGTGGACATTCCTGC
group.by:Beta
color:Beta\",\"Cell:CGACTTCCACAACGTT
group.by:Beta
color:Beta\",\"Cell:GGGAGATAGCGAAGGG
group.by:Beta
color:Beta\",\"Cell:CGGACACTCTATCCTA
group.by:Beta
color:Beta\",\"Cell:CGGCTAGCATTCCTCG
group.by:Beta
color:Beta\",\"Cell:GTAGGCCGTTACCAGT
group.by:Beta
color:Beta\",\"Cell:TCTCATATCAGAGCTT
group.by:Beta
color:Beta\",\"Cell:GCTGGGTGTCATACTG
group.by:Beta
color:Beta\",\"Cell:TAAGTGCTCCAAATGC
group.by:Beta
color:Beta\",\"Cell:GCGCGATGTCCGAATT
group.by:Beta
color:Beta\",\"Cell:GGGATGAGTCTGCGGT
group.by:Beta
color:Beta\",\"Cell:GTCTCGTAGATCTGCT
group.by:Beta
color:Beta\",\"Cell:GTGCATATCAGAGACG
group.by:Beta
color:Beta\",\"Cell:CAGCGACAGATCACGG
group.by:Beta
color:Beta\",\"Cell:ACTATCTGTCAGGACA
group.by:Beta
color:Beta\",\"Cell:ATCCACCTCCTTTCTC
group.by:Beta
color:Beta\",\"Cell:GGACAGAAGGCCGAAT
group.by:Beta
color:Beta\",\"Cell:ACTATCTTCTGCTGTC
group.by:Beta
color:Beta\",\"Cell:CGTCCATGTCTAACGT
group.by:Beta
color:Beta\",\"Cell:CAGTAACCATACGCTA
group.by:Beta
color:Beta\",\"Cell:ATCACGATCAGGATCT
group.by:Beta
color:Beta\",\"Cell:TATTACCAGCTAGTCT
group.by:Beta
color:Beta\",\"Cell:GTGGGTCGTACTTCTT
group.by:Beta
color:Beta\",\"Cell:ACTTACTCACCGTTGG
group.by:Beta
color:Beta\",\"Cell:CGCCAAGTCTAAGCCA
group.by:Beta
color:Beta\",\"Cell:ACTATCTTCATGTAGC
group.by:Beta
color:Beta\",\"Cell:TATCTCACATTGTGCA
group.by:Beta
color:Beta\",\"Cell:ACGATGTGTCGCGGTT
group.by:Beta
color:Beta\",\"Cell:CAGAATCCACAAGCCC
group.by:Beta
color:Beta\",\"Cell:TTTCCTCAGTGTCCCG
group.by:Beta
color:Beta\",\"Cell:TAAGTGCTCGCCTGAG
group.by:Beta
color:Beta\",\"Cell:GGTGTTACATGTTGAC
group.by:Beta
color:Beta\",\"Cell:GGGAGATAGTGACATA
group.by:Beta
color:Beta\",\"Cell:TAAGAGACAGTAGAGC
group.by:Beta
color:Beta\",\"Cell:CACATTTTCGAGGTAG
group.by:Beta
color:Beta\",\"Cell:AGACGTTCAATGGTCT
group.by:Beta
color:Beta\",\"Cell:CAGTAACAGCCACCTG
group.by:Beta
color:Beta\",\"Cell:CATTCGCGTGCAGACA
group.by:Beta
color:Beta\",\"Cell:TCTATTGCAGTAAGCG
group.by:Beta
color:Beta\",\"Cell:GCATGTAAGAATCTCC
group.by:Beta
color:Beta\",\"Cell:GTTACAGTCTAGAGTC
group.by:Beta
color:Beta\",\"Cell:TTATGCTTCGTTTAGG
group.by:Beta
color:Beta\",\"Cell:CTCAGAATCTTGAGAC
group.by:Beta
color:Beta\",\"Cell:GCATGATCATGCATGT
group.by:Beta
color:Beta\",\"Cell:TACGGTATCCCATTTA
group.by:Beta
color:Beta\",\"Cell:CCTTCGAAGCTAGGCA
group.by:Beta
color:Beta\",\"Cell:CCCAGTTTCAGCACAT
group.by:Beta
color:Beta\",\"Cell:CTAAGACGTACTCTCC
group.by:Beta
color:Beta\",\"Cell:CTTTGCGGTCGAATCT
group.by:Beta
color:Beta\",\"Cell:TTTGGTTTCCTTTCGG
group.by:Beta
color:Beta\",\"Cell:GGGATGATCTGTCCGT
group.by:Beta
color:Beta\",\"Cell:GTGTGCGCAGCGATCC
group.by:Beta
color:Beta\",\"Cell:GGCTCGACAGCTATTG
group.by:Beta
color:Beta\",\"Cell:GACTGCGGTCGCCATG
group.by:Beta
color:Beta\",\"Cell:ACGAGGATCAATCTCT
group.by:Beta
color:Beta\",\"Cell:GTGCGGTAGTGAATTG
group.by:Beta
color:Beta\",\"Cell:TACTTGTAGACAAAGG
group.by:Beta
color:Beta\",\"Cell:GTCCTCACACCACGTG
group.by:Beta
color:Beta\",\"Cell:AGATTGCCATTCCTGC
group.by:Beta
color:Beta\",\"Cell:TACGGTATCTTTCCTC
group.by:Beta
color:Beta\",\"Cell:GTCACGGCATACTACG
group.by:Beta
color:Beta\",\"Cell:ATCACGAGTGCACCAC
group.by:Beta
color:Beta\",\"Cell:AGGGTGAAGGTGCAAC
group.by:Beta
color:Beta\",\"Cell:CGCTATCAGGTGATAT
group.by:Beta
color:Beta\",\"Cell:GTGTGCGGTAGTACCT
group.by:Beta
color:Beta\",\"Cell:GGCTCGACAGCTTCGG
group.by:Beta
color:Beta\",\"Cell:TGTGGTAGTTAGAACA
group.by:Beta
color:Beta\",\"Cell:GTACTCCGTAGCGATG
group.by:Beta
color:Beta\",\"Cell:TGGACGCAGCGTCTAT
group.by:Beta
color:Beta\",\"Cell:CTGAAGTTCTTTAGGG
group.by:Beta
color:Beta\",\"Cell:TGCGTGGTCTTTACGT
group.by:Beta
color:Beta\",\"Cell:CTTGGCTCATCCCACT
group.by:Beta
color:Beta\",\"Cell:GTTTCTATCAACGGCC
group.by:Beta
color:Beta\",\"Cell:GTTACAGTCTTGAGAC
group.by:Beta
color:Beta\",\"Cell:TGTGGTAAGTGGTCCC
group.by:Beta
color:Beta\",\"Cell:GATGAGGAGAAACCTA
group.by:Beta
color:Beta\",\"Cell:GAAATGATCTTCAACT
group.by:Beta
color:Beta\",\"Cell:CGACCTTCACACAGAG
group.by:Beta
color:Beta\",\"Cell:GCGCAGTGTACGCACC
group.by:Beta
color:Beta\",\"Cell:CACATAGTCATTGCGA
group.by:Beta
color:Beta\",\"Cell:CTGAAACGTAGCGCAA
group.by:Beta
color:Beta\",\"Cell:GAATGAATCATCGGAT
group.by:Beta
color:Beta\",\"Cell:AAATGCCAGACTAAGT
group.by:Beta
color:Beta\",\"Cell:AACTCTTCATTTGCCC
group.by:Beta
color:Beta\",\"Cell:GAATAAGCACGAAATA
group.by:Beta
color:Beta\",\"Cell:CGATGGCCAACTGGCC
group.by:Beta
color:Beta\",\"Cell:ACTGATGCACATGACT
group.by:Beta
color:Beta\",\"Cell:CATCCACGTTACGACT
group.by:Beta
color:Beta\",\"Cell:GTGCTTCTCACGACTA
group.by:Beta
color:Beta\",\"Cell:CTACACCCATCAGTCA
group.by:Beta
color:Beta\",\"Cell:TTATGCTCACTACAGT
group.by:Beta
color:Beta\",\"Cell:AAAGTAGGTCAGATAA
group.by:Beta
color:Beta\",\"Cell:CCCAGTTGTGCGCTTG
group.by:Beta
color:Beta\",\"Cell:ATTCTACGTTTAGGAA
group.by:Beta
color:Beta\",\"Cell:GTGCGGTTCTGATTCT
group.by:Beta
color:Beta\",\"Cell:TCTATTGGTCTAGCCG
group.by:Beta
color:Beta\",\"Cell:CGGCTAGAGGCACATG
group.by:Beta
color:Beta\",\"Cell:GTAACTGAGCCGGTAA
group.by:Beta
color:Beta\",\"Cell:CATCAAGGTGGTCTCG
group.by:Beta
color:Beta\",\"Cell:CCTTCGATCTCCAACC
group.by:Beta
color:Beta\",\"Cell:CGTGTAACATGGTCTA
group.by:Beta
color:Beta\",\"Cell:AAACGGGGTACAGTTC
group.by:Beta
color:Beta\",\"Cell:CAGGTGCGTACAAGTA
group.by:Beta
color:Beta\",\"Cell:CGGACTGCATCCCATC
group.by:Beta
color:Beta\",\"Cell:GCGCCAACACCTCGGA
group.by:Beta
color:Beta\",\"Cell:CTTCTCTCAGCATACT
group.by:Beta
color:Beta\",\"Cell:TCAGATGGTAGATTAG
group.by:Beta
color:Beta\",\"Cell:CATCGAAGTAGCGTCC
group.by:Beta
color:Beta\",\"Cell:CGGACTGCAGCCAATT
group.by:Beta
color:Beta\",\"Cell:GGCGTGTTCTCGTATT
group.by:Beta
color:Beta\",\"Cell:TATGCCCAGGGTATCG
group.by:Beta
color:Beta\",\"Cell:CGAGAAGCACTTACGA
group.by:Beta
color:Beta\",\"Cell:AACTCCCAGTACGACG
group.by:Beta
color:Beta\",\"Cell:CCATTCGCAAGCCATT
group.by:Beta
color:Beta\",\"Cell:TGGCGCATCACATAGC
group.by:Beta
color:Beta\",\"Cell:AAACGGGCAAAGAATC
group.by:Beta
color:Beta\",\"Cell:TCTGGAAGTCATCGGC
group.by:Beta
color:Beta\",\"Cell:ACCAGTAGTTCGTTGA
group.by:Beta
color:Beta\",\"Cell:TTTGGTTCAAATTGCC
group.by:Beta
color:Beta\",\"Cell:GCCTCTAAGAGTTGGC
group.by:Beta
color:Beta\",\"Cell:CGGCTAGGTAACGACG
group.by:Beta
color:Beta\",\"Cell:AAAGATGAGTCATGCT
group.by:Beta
color:Beta\",\"Cell:TGAGCCGTCGATAGAA
group.by:Beta
color:Beta\",\"Cell:AGGGAGTTCCTCAATT
group.by:Beta
color:Beta\",\"Cell:ATCACGATCACGGTTA
group.by:Beta
color:Beta\",\"Cell:GAGCAGAGTTTGCATG
group.by:Beta
color:Beta\",\"Cell:TCCACACTCACGATGT
group.by:Beta
color:Beta\",\"Cell:CGATGTAGTGGTACAG
group.by:Beta
color:Beta\",\"Cell:TGGGAAGGTCATGCAT
group.by:Beta
color:Beta\",\"Cell:CATGCCTGTTCGTCTC
group.by:Beta
color:Beta\",\"Cell:TCTCTAAAGCTGGAAC
group.by:Beta
color:Beta\",\"Cell:GAACGGAAGGAGCGAG
group.by:Beta
color:Beta\",\"Cell:AAAGTAGAGCGCCTTG
group.by:Beta
color:Beta\",\"Cell:AACTTTCAGGCATTGG
group.by:Beta
color:Beta\",\"Cell:TACGGTAGTGTGCCTG
group.by:Beta
color:Beta\",\"Cell:AAGCCGCAGGAGTTGC
group.by:Beta
color:Beta\",\"Cell:CATGGCGAGCCCTAAT
group.by:Beta
color:Beta\",\"Cell:TTGAACGTCATCGATG
group.by:Beta
color:Beta\",\"Cell:TAGGCATTCGTTGCCT
group.by:Beta
color:Beta\",\"Cell:AGATCTGTCGATCCCT
group.by:Beta
color:Beta\",\"Cell:CTACGTCAGTCTCGGC
group.by:Beta
color:Beta\",\"Cell:ACACCAAAGTAGGCCA
group.by:Beta
color:Beta\",\"Cell:GCACTCTGTCTGCAAT
group.by:Beta
color:Beta\",\"Cell:CGTCTACGTTTCCACC
group.by:Beta
color:Beta\",\"Cell:GACCAATAGAATGTGT
group.by:Beta
color:Beta\",\"Cell:TACCTATTCGTTACGA
group.by:Beta
color:Beta\",\"Cell:TGAGGGAAGCCGGTAA
group.by:Beta
color:Beta\",\"Cell:TGATTTCAGTGGAGTC
group.by:Beta
color:Beta\",\"Cell:CTAACTTAGATCACGG
group.by:Beta
color:Beta\",\"Cell:ATGAGGGCAAGGTTTC
group.by:Beta
color:Beta\",\"Cell:ACATACGGTAAACACA
group.by:Beta
color:Beta\",\"Cell:GAATGAATCCTGTAGA
group.by:Beta
color:Beta\",\"Cell:ACTGATGGTCCGACGT
group.by:Beta
color:Beta\",\"Cell:GTAACGTCAGCCTATA
group.by:Beta
color:Beta\",\"Cell:GGGAGATAGCGTTCCG
group.by:Beta
color:Beta\",\"Cell:TACGGATTCTAACTCT
group.by:Beta
color:Beta\",\"Cell:GGAAAGCAGGCATGGT
group.by:Beta
color:Beta\",\"Cell:CTCGGAGTCATCGCTC
group.by:Beta
color:Beta\",\"Cell:CGTTCTGAGCCCAGCT
group.by:Beta
color:Beta\",\"Cell:ACGCAGCGTGGCTCCA
group.by:Beta
color:Beta\",\"Cell:CACAGGCTCAAGATCC
group.by:Beta
color:Beta\",\"Cell:GCTGGGTTCGCCATAA
group.by:Beta
color:Beta\",\"Cell:CGTCCATCAGTCGTGC
group.by:Beta
color:Beta\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":\"rgba(253,191,111,1)\",\"size\":1.5,\"line\":{\"color\":\"rgba(253,191,111,1)\"}},\"showlegend\":true,\"visible\":true,\"name\":\"Beta\",\"textfont\":{\"color\":\"rgba(253,191,111,1)\"},\"error_y\":{\"color\":\"rgba(253,191,111,1)\"},\"error_x\":{\"color\":\"rgba(253,191,111,1)\"},\"line\":{\"color\":\"rgba(253,191,111,1)\"},\"frame\":null},{\"x\":[3.7651683157645168,4.2884904211722317,4.0858694380484524,3.9449616736136379,3.7688914602957668,3.708708888884634,4.2753692930899563,3.6917172735892239,4.8378187483511867,4.3068496054373684,3.6750012701712551,4.1570006674490871,4.4909569090567532,4.3201953238211575,4.1558662718497219,4.6197644537650051,3.7943307226859035,3.8011189764700832,3.8908783262930813,4.2860552138052883,4.953642970915884,4.1042176550589504,4.063956863280386,3.5586420363150539,4.2045790022574367,4.0581241911612453,4.309628135558218,4.9434748953543606,3.9707208937369289,4.0788031882010403,4.3074675863943996,4.2125812834464016,4.1810804671011867,4.1613327330313625,4.1415544813834133,4.1233750647269192,3.7564607924185696,4.540925628539175,3.6092368429861965,3.797756797667593,4.2756167715750637,3.9822994536124172,4.3417240446768703,3.9070087736807766,3.5692497557364407,3.9789401358328762,3.6990600889883938,3.7973028486929836,4.0392576521597805,4.0615278547964992,3.7082096403799953,4.1198397940360012,4.7570358580313625,3.6876221960745754,4.0421482390128078,4.8315531080923977,4.8818041151724758,4.0719081228934231,3.840809947844595,4.4146901434622707,3.6967369383536282,3.929534084197134,4.0964404410086575,3.9519139593802395,3.7683998411856594,4.1110025709830227,4.8735128706656399,4.1605702704153957,4.2244850462637844,3.598171836730093,3.9120718306265774,4.7828432387076321,4.2756439512930813,3.8340650862418117,4.1341716116629543,3.6935759848318996,4.8878732985220852,4.3533126181326809,3.9792114561758938,4.1878510779105129,3.7272607153616848,4.2237268751822414,4.7304683989249172,3.9582825964652004,4.2110291784964504,3.6590329474173489,4.1788326567374172,3.7835108107291164,4.2851477926932278,4.0993858641348782,3.85278475939855,4.206941253539175,3.9675642317496242,4.1869531935416164,3.6755405729971828,4.2089210814200344,3.9946595495902004,3.7615333861075344,4.2713748282156887,3.6478635138235989,4.2264033621512356,3.6208459204398098,4.0981928175650539,4.6671968764029446,3.8968588179312649,3.5979048079214992,4.6734758681021633,4.1653372114859524,3.5731941527090969,4.248017913695425,4.0969482725821438,4.19380677401647,4.0267154043875637,3.6752859419547024,3.9452782934866848,4.11096347033605,3.946593410369009,4.3577228850089016,4.2267390555106106,4.0319467848502102,4.0022865599356594,4.3862692183218899,4.3566633528433742,4.012112266417593,3.7653600043021145,3.8392578428946438,3.9582296675406399,3.8220959967337551,4.2790666884146633,4.8305007284842434,4.2600380247794094,4.1178962057791653,4.1578036612235012,4.1299988096915188,4.0152269667349758],\"y\":[-4.1813345869425689,-5.0962627848032866,-2.0351397713068873,-3.4739092310313135,-3.5910936315897852,-4.1603685339335357,-3.7919968088511378,-3.8577817400339991,-0.86170599063672126,-3.278905244672671,-4.3640995939616118,-3.723750682676211,1.3132356683369726,-3.6445847471598536,-3.0026050527933985,-1.3423747738245875,-3.783922048414126,-3.9147642572764307,-4.6768530329111968,-2.3055076321009547,-0.68876549241878093,-5.3729494531992827,-4.7047046144846831,-4.5010617693308745,-3.0754037817362696,-3.6829043348673731,-1.7410278042200953,-0.47179021140374244,-4.8555706461314116,-4.3189624269846831,-5.0903199633006011,-4.9740699251536284,-4.7634843309763824,-3.3286565264109522,-3.1477533300761134,-3.3545483072642237,-5.2532542665842925,-1.5070934613589198,-3.3516133745554835,-4.9233997782114898,-4.958230348432437,-4.9192923029307281,-3.352185102308169,-3.7284103353861719,-4.2564638574961577,-4.0790687521342193,-4.7821448763255034,-3.8162888010386378,-4.7334559877756988,-3.8477219065073878,-3.7607172449473292,-3.0956462343577296,0.096637038385495533,-3.7234464605692774,-5.3106635530833159,-0.63466766675747932,-0.83351120551861824,-3.4789639433268458,-4.2947400530222808,-4.290679307783023,-3.8767207582835108,-5.1896551569346343,-3.531302066648379,-4.8967646082285796,-3.658861013257876,-3.4552353342417628,-0.37577939232625068,-4.4964416941050445,-5.0694449861887847,-3.9731949289683253,-5.1671312769297515,-0.75854998281039299,-3.0913077314738184,-5.4139483888987456,-3.459409805143252,-3.7811191995982081,-0.99437400897778572,-2.0634958465937525,-3.4982336481455714,-4.7272222956065093,-5.0906585176829253,-3.1412273367289454,-0.94771781762875618,-4.5101326425913726,-3.6134074648264796,-4.6001072843912993,-3.0487497766856104,-4.0350559671763335,-4.5549701174143706,-4.9965170343760406,-3.5523766001109034,-4.4558144529704009,-4.6657434423808013,-3.4929128607157618,-4.0809699018839751,-2.5277898033503443,-3.4343720396403223,-4.9682110269907866,-2.6928626020792872,-3.9875546415690333,-3.4406310041788966,-4.5077687223795806,-3.5230122526530177,1.099791912233457,-4.1716831644419585,-3.7157302816752344,-1.2219919284228236,-4.2690785845164214,-4.7333548982981597,-5.430299611890689,-5.2894814928416167,-3.0151425321940333,-4.1383369882944976,-4.5225485285166656,-4.4413059671763335,-2.8859759291056544,-5.2353986223582183,-3.9434927423838526,-2.9411636312846094,-4.9088624437693511,-3.266095014417544,-4.4900182207468902,-3.7087305506113917,-3.241342874372378,-5.0214823206309234,-3.7565096338633448,-3.9927330931071192,-4.1723013838175689,-2.8455587347391993,-0.76378666808642448,-4.4622977693919097,-5.0639975984934722,-5.2773097475413238,-5.3637460192088042,-3.1654377897623927],\"z\":[1.6474694853583352,2.2678830271521582,0.77559181507024921,2.7288589125433935,2.5187892561713232,2.3033556586066259,1.9580397253790871,2.2424358969489111,1.4935800677100197,1.4389643317023293,2.2650366669455542,1.8464862948218361,1.2327821498671547,1.6243790036002175,2.4039139395514502,1.3589428907195107,0.68090977723989643,0.55365350301656879,1.1247000342169777,1.3499763255873696,1.6193426495352761,1.8633428459921852,1.5980829840460793,1.7556627636710183,1.7654970532217995,1.4878282194891945,1.0494790321150795,1.4979819899359719,1.6782898550787941,2.1459217911520971,1.6422769671240822,1.5686887150565163,2.2822488194266333,1.5832513218680397,1.189559364871122,1.9128696566382424,1.7500769739905373,1.3617116456786171,-0.21080580894555895,1.7848413830557839,1.64319309051428,2.2391173487463965,1.2016483789244667,0.46787341143283995,1.9167555218497292,0.71580704505834736,1.9681576138297097,1.7726575976172463,1.8767610436240212,1.1526832824507729,1.5409364348212258,0.8544526642123238,1.2083266025343911,0.4213397895852104,1.9154033308783547,1.2273513322630898,1.5856625681677834,0.88299956376943745,0.75345029886160053,1.9913510924139992,0.50619247014913715,1.9045886641303078,2.87701340969,1.8003981953421608,1.5368673449316994,1.6361664181509987,1.4694782143393532,1.392500722960569,1.8585914021292702,2.2972430830756201,2.0057422762671484,1.3438335901061074,1.8161207085410134,1.6121569519797341,0.93353792484197773,2.3818230276862158,1.7616051083365456,1.2911687141219155,1.8081029301444069,2.2930901890555395,1.8301757221976296,2.3696720248023047,1.3657154088774697,1.323900664404966,1.3786654120245949,2.2367086058417334,2.3664700632849707,1.4042710905829445,1.6668164377966896,1.8389694338599221,2.4151751642981543,2.3941752558508886,2.2259193306723608,1.3449152951994912,2.3593933230200781,3.0048808699408545,1.7172023897925393,1.9697740917960183,2.3569098358908667,1.2342852001944558,2.5018155222693457,2.0716530924597754,1.8232771998206154,1.1154466515341774,0.8878723030844704,1.9975769167700783,1.5046544914999977,1.4392054920950905,1.9821776991644875,1.8281238919058815,1.6713567620078102,1.9429345970908181,1.7048794871130959,1.6828380471030251,0.90038057620916523,2.216438139037229,1.7515104656973854,1.9326098805228249,2.1696555262366308,2.2898159867087378,2.7280842905798925,1.6591003781119362,2.000695312575437,2.5682856684485449,1.7376130467215554,1.240804219798185,2.4409746771613134,1.9236166125098244,1.9692984467307106,1.4489907866278664,1.5091299658576027,1.9984683638373391,2.0168980007926001,1.8868381624976174,2.6455645209113134],\"text\":[\"Cell:TTCTACACAGTCGATT
group.by:Alpha
color:Alpha\",\"Cell:GTTCATTGTTCCAACA
group.by:Alpha
color:Alpha\",\"Cell:AAAGTAGAGAGTGAGA
group.by:Alpha
color:Alpha\",\"Cell:GTTCTCGCAAGTCTAC
group.by:Alpha
color:Alpha\",\"Cell:CAGTCCTAGGTGGGTT
group.by:Alpha
color:Alpha\",\"Cell:CATCGGGAGGCCCTTG
group.by:Alpha
color:Alpha\",\"Cell:TGGACGCAGCTGCAAG
group.by:Alpha
color:Alpha\",\"Cell:CGTGTAAGTTAAGATG
group.by:Alpha
color:Alpha\",\"Cell:ATTTCTGTCCCTGACT
group.by:Alpha
color:Alpha\",\"Cell:CATGACACAAAGTCAA
group.by:Alpha
color:Alpha\",\"Cell:CTAACTTGTAGGAGTC
group.by:Alpha
color:Alpha\",\"Cell:CAACCTCTCTCTGTCG
group.by:Alpha
color:Alpha\",\"Cell:CCGTTCACAGTAGAGC
group.by:Alpha
color:Alpha\",\"Cell:CACCACTCAATCTACG
group.by:Alpha
color:Alpha\",\"Cell:GGCGTGTCAACTGCTA
group.by:Alpha
color:Alpha\",\"Cell:ACATCAGTCCGTTGTC
group.by:Alpha
color:Alpha\",\"Cell:ACAGCCGAGCCAACAG
group.by:Alpha
color:Alpha\",\"Cell:AGCGTATCACGAGGTA
group.by:Alpha
color:Alpha\",\"Cell:TCCACACCAGGCGATA
group.by:Alpha
color:Alpha\",\"Cell:GATGAAACAGGCTGAA
group.by:Alpha
color:Alpha\",\"Cell:CTGAAACAGTATCGAA
group.by:Alpha
color:Alpha\",\"Cell:GACCAATGTAAGAGAG
group.by:Alpha
color:Alpha\",\"Cell:CATCAGAGTTCGCTAA
group.by:Alpha
color:Alpha\",\"Cell:CCATTCGGTGCTAGCC
group.by:Alpha
color:Alpha\",\"Cell:CCACTACTCTTTAGTC
group.by:Alpha
color:Alpha\",\"Cell:GGATGTTGTTACGCGC
group.by:Alpha
color:Alpha\",\"Cell:CTCGTACCAGCCAGAA
group.by:Alpha
color:Alpha\",\"Cell:ATTATCCGTATAAACG
group.by:Alpha
color:Alpha\",\"Cell:GTCCTCAAGTTCGATC
group.by:Alpha
color:Alpha\",\"Cell:CGGAGCTGTTACGGAG
group.by:Alpha
color:Alpha\",\"Cell:GTCAAGTAGTATCGAA
group.by:Alpha
color:Alpha\",\"Cell:TCAGGTACAGTCACTA
group.by:Alpha
color:Alpha\",\"Cell:GGATGTTAGTAAGTAC
group.by:Alpha
color:Alpha\",\"Cell:ACGCAGCCAATCCGAT
group.by:Alpha
color:Alpha\",\"Cell:ACTTTCATCAGAGCTT
group.by:Alpha
color:Alpha\",\"Cell:TCGAGGCAGTTAACGA
group.by:Alpha
color:Alpha\",\"Cell:GTGCGGTCACCGAATT
group.by:Alpha
color:Alpha\",\"Cell:TTGGCAATCGGATGGA
group.by:Alpha
color:Alpha\",\"Cell:GACTAACCATGAGCGA
group.by:Alpha
color:Alpha\",\"Cell:CGTGAGCTCTTCTGGC
group.by:Alpha
color:Alpha\",\"Cell:ATCATGGGTTCTCATT
group.by:Alpha
color:Alpha\",\"Cell:GTGTGCGGTCTCCACT
group.by:Alpha
color:Alpha\",\"Cell:TCACAAGCAACGATGG
group.by:Alpha
color:Alpha\",\"Cell:CGATGGCTCAGTGTTG
group.by:Alpha
color:Alpha\",\"Cell:CATCCACCAGATGGGT
group.by:Alpha
color:Alpha\",\"Cell:TGCCCTATCATAAAGG
group.by:Alpha
color:Alpha\",\"Cell:CCACCTATCTAAGCCA
group.by:Alpha
color:Alpha\",\"Cell:TCTTCGGTCTGCTTGC
group.by:Alpha
color:Alpha\",\"Cell:GGCAATTGTCCATCCT
group.by:Alpha
color:Alpha\",\"Cell:CGTGTAATCGTTGACA
group.by:Alpha
color:Alpha\",\"Cell:AAGCCGCTCTTGCATT
group.by:Alpha
color:Alpha\",\"Cell:CGTAGGCCAACACCCG
group.by:Alpha
color:Alpha\",\"Cell:GCAATCACAGCTGCTG
group.by:Alpha
color:Alpha\",\"Cell:GGACAGAGTCAGCTAT
group.by:Alpha
color:Alpha\",\"Cell:CTTCTCTCATGCGCAC
group.by:Alpha
color:Alpha\",\"Cell:CCACGGAAGATCCTGT
group.by:Alpha
color:Alpha\",\"Cell:TGTGTTTGTATATCCG
group.by:Alpha
color:Alpha\",\"Cell:GACGCGTAGACGCACA
group.by:Alpha
color:Alpha\",\"Cell:GACGTGCTCCGGCACA
group.by:Alpha
color:Alpha\",\"Cell:AAGACCTAGACCTTTG
group.by:Alpha
color:Alpha\",\"Cell:ATCCACCTCATGCAAC
group.by:Alpha
color:Alpha\",\"Cell:GTACTCCTCTCTTATG
group.by:Alpha
color:Alpha\",\"Cell:CGGAGTCCATAACCTG
group.by:Alpha
color:Alpha\",\"Cell:TTAGGACAGGTCATCT
group.by:Alpha
color:Alpha\",\"Cell:GCAAACTTCGGAATCT
group.by:Alpha
color:Alpha\",\"Cell:CTCTAATAGTTATCGC
group.by:Alpha
color:Alpha\",\"Cell:CACATAGAGGGAAACA
group.by:Alpha
color:Alpha\",\"Cell:TGGTTCCTCAACCATG
group.by:Alpha
color:Alpha\",\"Cell:ACGATACTCGCGCCAA
group.by:Alpha
color:Alpha\",\"Cell:GGGACCTGTCAGCTAT
group.by:Alpha
color:Alpha\",\"Cell:CCACCTATCGGAAACG
group.by:Alpha
color:Alpha\",\"Cell:CTCGAAAGTGGTGTAG
group.by:Alpha
color:Alpha\",\"Cell:TTTGCGCAGCAACGGT
group.by:Alpha
color:Alpha\",\"Cell:TACACGAAGATCCCAT
group.by:Alpha
color:Alpha\",\"Cell:GCTGCGAAGAACAACT
group.by:Alpha
color:Alpha\",\"Cell:ATAGACCAGTGATCGG
group.by:Alpha
color:Alpha\",\"Cell:CTCGTACGTTGGTTTG
group.by:Alpha
color:Alpha\",\"Cell:TGTGTTTTCATTCACT
group.by:Alpha
color:Alpha\",\"Cell:TCACGAACAGGCGATA
group.by:Alpha
color:Alpha\",\"Cell:ACTTTCAAGACACTAA
group.by:Alpha
color:Alpha\",\"Cell:GCGAGAAGTGGGTATG
group.by:Alpha
color:Alpha\",\"Cell:ACATACGAGCTATGCT
group.by:Alpha
color:Alpha\",\"Cell:CTCGAAATCGCAAACT
group.by:Alpha
color:Alpha\",\"Cell:AGTCTTTGTCTCGTTC
group.by:Alpha
color:Alpha\",\"Cell:GCGACCATCACCAGGC
group.by:Alpha
color:Alpha\",\"Cell:TCACAAGTCTGGTTCC
group.by:Alpha
color:Alpha\",\"Cell:TAGACCATCTTATCTG
group.by:Alpha
color:Alpha\",\"Cell:AGACGTTAGCCGATTT
group.by:Alpha
color:Alpha\",\"Cell:GAACCTACAGCGATCC
group.by:Alpha
color:Alpha\",\"Cell:GATTCAGAGTACGTTC
group.by:Alpha
color:Alpha\",\"Cell:GCTTGAACATTTGCTT
group.by:Alpha
color:Alpha\",\"Cell:TATTACCAGATGGGTC
group.by:Alpha
color:Alpha\",\"Cell:GGGCATCCATTTCAGG
group.by:Alpha
color:Alpha\",\"Cell:TCGGTAACAGGGTACA
group.by:Alpha
color:Alpha\",\"Cell:TTAGGACAGATGGGTC
group.by:Alpha
color:Alpha\",\"Cell:CGTCAGGCAAACGCGA
group.by:Alpha
color:Alpha\",\"Cell:GCGACCACACGTTGGC
group.by:Alpha
color:Alpha\",\"Cell:AACTCAGAGGTAGCCA
group.by:Alpha
color:Alpha\",\"Cell:GTGGGTCGTCCAGTAT
group.by:Alpha
color:Alpha\",\"Cell:TATTACCTCGTTGCCT
group.by:Alpha
color:Alpha\",\"Cell:TCACAAGAGCATGGCA
group.by:Alpha
color:Alpha\",\"Cell:GTATCTTGTACTCAAC
group.by:Alpha
color:Alpha\",\"Cell:AGGCCACCAACTGCGC
group.by:Alpha
color:Alpha\",\"Cell:AGTCTTTAGTCTCGGC
group.by:Alpha
color:Alpha\",\"Cell:CATTCGCTCGCTTGTC
group.by:Alpha
color:Alpha\",\"Cell:CTCGAGGCAAGTCTGT
group.by:Alpha
color:Alpha\",\"Cell:TTGAACGAGGAATCGC
group.by:Alpha
color:Alpha\",\"Cell:CGCGGTACATTAGGCT
group.by:Alpha
color:Alpha\",\"Cell:TGCGTGGCAGTATAAG
group.by:Alpha
color:Alpha\",\"Cell:GATCGATCAGTCGATT
group.by:Alpha
color:Alpha\",\"Cell:CTGAAACAGGAGTAGA
group.by:Alpha
color:Alpha\",\"Cell:ATGTGTGCATGGGACA
group.by:Alpha
color:Alpha\",\"Cell:GGGATGAAGGGCATGT
group.by:Alpha
color:Alpha\",\"Cell:ACGAGGACATGGTTGT
group.by:Alpha
color:Alpha\",\"Cell:ATCTGCCGTCAGAAGC
group.by:Alpha
color:Alpha\",\"Cell:TAGAGCTTCTCGCTTG
group.by:Alpha
color:Alpha\",\"Cell:CACACCTCACTGCCAG
group.by:Alpha
color:Alpha\",\"Cell:AGTCTTTCACGGACAA
group.by:Alpha
color:Alpha\",\"Cell:GTCGGGTGTGCAACTT
group.by:Alpha
color:Alpha\",\"Cell:GAAATGATCGTCCGTT
group.by:Alpha
color:Alpha\",\"Cell:GTTCGGGAGGCAATTA
group.by:Alpha
color:Alpha\",\"Cell:ACTGATGGTTCCTCCA
group.by:Alpha
color:Alpha\",\"Cell:AAGGAGCAGTACATGA
group.by:Alpha
color:Alpha\",\"Cell:ATGCGATTCGCGTAGC
group.by:Alpha
color:Alpha\",\"Cell:CATCGGGTCATTTGGG
group.by:Alpha
color:Alpha\",\"Cell:CATTCGCTCTGCTGCT
group.by:Alpha
color:Alpha\",\"Cell:CCAGCGAGTACCGTAT
group.by:Alpha
color:Alpha\",\"Cell:GAAATGACATCTACGA
group.by:Alpha
color:Alpha\",\"Cell:TGAGCATCAAGCCGCT
group.by:Alpha
color:Alpha\",\"Cell:CCACTACGTTAAGAAC
group.by:Alpha
color:Alpha\",\"Cell:CACCACTCACGAAATA
group.by:Alpha
color:Alpha\",\"Cell:ACAGCTATCAAGGCTT
group.by:Alpha
color:Alpha\",\"Cell:AAGGCAGGTCTAGCCG
group.by:Alpha
color:Alpha\",\"Cell:GTTTCTAGTCCTCTTG
group.by:Alpha
color:Alpha\",\"Cell:ACGCCGAAGCTTCGCG
group.by:Alpha
color:Alpha\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":\"rgba(255,127,0,1)\",\"size\":1.5,\"line\":{\"color\":\"rgba(255,127,0,1)\"}},\"showlegend\":true,\"visible\":true,\"name\":\"Alpha\",\"textfont\":{\"color\":\"rgba(255,127,0,1)\"},\"error_y\":{\"color\":\"rgba(255,127,0,1)\"},\"error_x\":{\"color\":\"rgba(255,127,0,1)\"},\"line\":{\"color\":\"rgba(255,127,0,1)\"},\"frame\":null},{\"x\":[2.793688661452383,3.2613741224966946,2.6745559042654934,2.4691897696219387,3.2486630743704739,3.1013876265250149,2.3361758059225979,2.5643507307730617,2.3560041254721584,2.3313630884848537,2.6357158487997951,2.4152344530783596,2.8252738779745998,2.5578230684958401,2.7272015875540676,2.479031211730093,2.7370964354239407,2.3576153582297268],\"y\":[0.070623842870816578,0.1226136366482824,0.10801014105044304,0.053220657503232349,0.19655898014269768,0.013699082529172291,0.18593749204836785,0.27336951891146599,0.15909203687869011,0.26178195873461663,0.08589747348986565,0.15554716983996331,-0.00096622308529914491,0.10245349804125725,0.032042411958798755,0.23960020939074456,-0.01739844878949226,0.22291055122576653],\"z\":[2.2997942810812964,1.9235921746054665,2.415010178641416,2.6543135290900244,1.9238834028998391,2.1563965922156347,2.7292678004065527,2.4989740496436132,2.6990682726660742,2.7361378317633642,2.455823863104917,2.6428641920844091,2.2701818590918554,2.5116467123785986,2.4049763327399267,2.5852379446784033,2.3558253889838232,2.7110910063544287],\"text\":[\"Cell:ATCATCTGTGTTTGTG
group.by:Delta
color:Delta\",\"Cell:CCTACACGTTCTCATT
group.by:Delta
color:Delta\",\"Cell:AGCGTATTCTCGTATT
group.by:Delta
color:Delta\",\"Cell:GCCTCTAAGCTAGTCT
group.by:Delta
color:Delta\",\"Cell:GTGGGTCCATAAAGGT
group.by:Delta
color:Delta\",\"Cell:GGCAATTTCACATGCA
group.by:Delta
color:Delta\",\"Cell:TTCGGTCAGGGCATGT
group.by:Delta
color:Delta\",\"Cell:TACCTATGTCCAACTA
group.by:Delta
color:Delta\",\"Cell:GATCGCGAGCGTTGCC
group.by:Delta
color:Delta\",\"Cell:AGTGTCACATAGTAAG
group.by:Delta
color:Delta\",\"Cell:CCTCAGTGTGATAAGT
group.by:Delta
color:Delta\",\"Cell:CTGAAACGTATGGTTC
group.by:Delta
color:Delta\",\"Cell:CATTATCAGCTCCCAG
group.by:Delta
color:Delta\",\"Cell:AACTGGTGTACCGTTA
group.by:Delta
color:Delta\",\"Cell:ATCATCTGTAGGACAC
group.by:Delta
color:Delta\",\"Cell:TCAGATGCACGACGAA
group.by:Delta
color:Delta\",\"Cell:CGGTTAAAGTAGCGGT
group.by:Delta
color:Delta\",\"Cell:TCTTCGGTCTGGCGTG
group.by:Delta
color:Delta\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":\"rgba(251,154,153,1)\",\"size\":1.5,\"line\":{\"color\":\"rgba(251,154,153,1)\"}},\"showlegend\":true,\"visible\":true,\"name\":\"Delta\",\"textfont\":{\"color\":\"rgba(251,154,153,1)\"},\"error_y\":{\"color\":\"rgba(251,154,153,1)\"},\"error_x\":{\"color\":\"rgba(251,154,153,1)\"},\"line\":{\"color\":\"rgba(251,154,153,1)\"},\"frame\":null},{\"x\":[3.8172012633048,3.9640418356619778,4.0921779936514797,4.1104151076041164,4.1845375364981594,4.1118885344229641,3.8757530516348782,4.3496514624319973,3.8364697760306301,4.0921040838919582,3.8910366362296047,3.86671937167272,4.0656186407767239,4.0860859221182766,3.64369691073522,4.0735517805777492,4.0419470137320461,4.019373065825552,4.0086442297659817,3.9628754919730129,3.8232137030325832,3.784641391631216,3.8982225722037258,3.8025161093436184,4.1205469435416164,4.0269590681754055,3.834314472075552,4.1854006117545071,4.098847991820425,4.2035375899039211,4.0021592444144192,4.1749731367789211],\"y\":[-1.1458798964861781,-1.3012585361842066,-2.0352490862254053,-2.3230533321741968,-2.493720861280337,-2.9189573248270899,-1.545060189569369,-3.6142457445506007,-1.4805615266207606,-2.8548248728159815,-1.2251872738245875,-1.6241277178172022,-1.7047620733622462,-2.6839514692667872,-1.3848834355715662,-2.8300114591959864,-2.562305541837588,-1.5894029458407313,-1.9238525350932032,-1.3171585520152003,-1.3056107481364161,-1.4506988843325526,-1.7402947862986475,-1.169714810455218,-2.4311220367792994,-1.2190810163859278,-1.3806635459307581,-2.5046910961512476,-2.640328617895022,-3.2087076624277979,-1.5525943954829127,-2.5892675836924464],\"z\":[3.5603587275305761,3.0363416319647802,3.3926832323828711,3.2868349200049414,3.1031601076880468,3.1063513403693213,3.7029113417426123,2.2332950478354467,3.739574158743955,3.2407769804755224,3.1538161879340185,3.7083072310248388,3.1442126875678076,3.3176071291724218,3.7040762549201025,3.214291298941709,3.3964278345862402,3.0861770754614843,3.5408041125098242,3.0596899634161963,3.5063635950842871,3.7532853728095068,3.6653802042761816,3.5099353438178076,3.1888248568335547,2.9130816107550634,3.6451568251410498,3.0938043242255224,3.2434551363745703,2.8631963377753271,3.2229990607062353,3.077028000907041],\"text\":[\"Cell:CATCGGGCACGTTGGC
group.by:Epsilon
color:Epsilon\",\"Cell:AGATCTGGTTCGGCAC
group.by:Epsilon
color:Epsilon\",\"Cell:TACTCGCTCTTCGGTC
group.by:Epsilon
color:Epsilon\",\"Cell:GATCGTAAGTGCAAGC
group.by:Epsilon
color:Epsilon\",\"Cell:CTGGTCTAGGTGATTA
group.by:Epsilon
color:Epsilon\",\"Cell:TCAGGATTCCAGTAGT
group.by:Epsilon
color:Epsilon\",\"Cell:CTGAAACGTTCCCTTG
group.by:Epsilon
color:Epsilon\",\"Cell:CTTCTCTGTCAGAGGT
group.by:Epsilon
color:Epsilon\",\"Cell:TGGCTGGCAGTGAGTG
group.by:Epsilon
color:Epsilon\",\"Cell:GTACTTTTCAGTTCGA
group.by:Epsilon
color:Epsilon\",\"Cell:CAGAGAGAGGACCACA
group.by:Epsilon
color:Epsilon\",\"Cell:AAGACCTGTGGCTCCA
group.by:Epsilon
color:Epsilon\",\"Cell:AGAGCTTCATTCGACA
group.by:Epsilon
color:Epsilon\",\"Cell:TGAGAGGAGCCAGGAT
group.by:Epsilon
color:Epsilon\",\"Cell:TCAGCTCAGGCTATCT
group.by:Epsilon
color:Epsilon\",\"Cell:AACTGGTTCGTCCAGG
group.by:Epsilon
color:Epsilon\",\"Cell:GGGTCTGCAGCAGTTT
group.by:Epsilon
color:Epsilon\",\"Cell:CTCGAGGGTAAGTAGT
group.by:Epsilon
color:Epsilon\",\"Cell:AGCATACGTCGCGAAA
group.by:Epsilon
color:Epsilon\",\"Cell:GGGACCTGTTGGACCC
group.by:Epsilon
color:Epsilon\",\"Cell:GAAGCAGGTCTAGAGG
group.by:Epsilon
color:Epsilon\",\"Cell:ACGATACAGTCATCCA
group.by:Epsilon
color:Epsilon\",\"Cell:ACGCAGCGTTCATGGT
group.by:Epsilon
color:Epsilon\",\"Cell:ATGTGTGAGGAATTAC
group.by:Epsilon
color:Epsilon\",\"Cell:TACAGTGAGCGTTTAC
group.by:Epsilon
color:Epsilon\",\"Cell:GGGAGATGTTAAAGAC
group.by:Epsilon
color:Epsilon\",\"Cell:GGTGTTACACCTCGGA
group.by:Epsilon
color:Epsilon\",\"Cell:AGGCCACCACGAAGCA
group.by:Epsilon
color:Epsilon\",\"Cell:TTGGCAACATCATCCC
group.by:Epsilon
color:Epsilon\",\"Cell:CAGAGAGGTGTGAATA
group.by:Epsilon
color:Epsilon\",\"Cell:TGCGGGTTCCACTCCA
group.by:Epsilon
color:Epsilon\",\"Cell:TTTGCGCTCTTCCTTC
group.by:Epsilon
color:Epsilon\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":\"rgba(227,26,28,1)\",\"size\":1.5,\"line\":{\"color\":\"rgba(227,26,28,1)\"}},\"showlegend\":true,\"visible\":true,\"name\":\"Epsilon\",\"textfont\":{\"color\":\"rgba(227,26,28,1)\"},\"error_y\":{\"color\":\"rgba(227,26,28,1)\"},\"error_x\":{\"color\":\"rgba(227,26,28,1)\"},\"line\":{\"color\":\"rgba(227,26,28,1)\"},\"frame\":null}],\"highlight\":{\"on\":\"plotly_click\",\"persistent\":false,\"dynamic\":false,\"selectize\":false,\"opacityDim\":0.20000000000000001,\"selected\":{\"opacity\":1},\"debounce\":0},\"shinyEvents\":[\"plotly_hover\",\"plotly_click\",\"plotly_selected\",\"plotly_relayout\",\"plotly_brushed\",\"plotly_brushing\",\"plotly_clickannotation\",\"plotly_doubleclick\",\"plotly_deselect\",\"plotly_afterplot\",\"plotly_sunburstclick\"],\"base_url\":\"https://plot.ly\"},\"evals\":[],\"jsHooks\":[]} pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"StandardpcaUMAP3D\") CellDimPlot3D(pancreas_sub, group.by = \"SubCellType\", reduction = \"StandardpcaUMAP3D\", lineages = \"Lineage1\")  {\"x\":{\"visdat\":{\"1f09476200d1\":[\"function () \",\"plotlyVisDat\"],\"1f093a555d32\":[\"function () \",\"data\"]},\"cur_data\":\"1f093a555d32\",\"attrs\":{\"1f093a555d32\":{\"alpha_stroke\":1,\"sizes\":[10,100],\"spans\":[1,20],\"x\":[-5.6886261636056004,3.4359456366263332,-5.3666280442513523,3.7621866530142727,-5.872935169342905,-6.1831148797310886,2.2261005705557766,2.4181076353751125,3.398643142577261,4.2351423567496242,3.9708577460013332,2.1073290175162258,2.9162017172537746,3.7651683157645168,-5.3833645516671238,-5.1829670602120457,3.8295599287711086,1.5391832655631006,-5.4914945298470554,3.8172012633048,2.793688661452383,2.0342673128806057,3.9640418356619778,2.4987086123190823,3.6219369238577785,0.99059940039739014,-5.4327911073006687,4.2884904211722317,2.9429088896475735,4.0921779936514797,-5.3985317879952488,-2.0335786277092991,4.3770376509390774,4.0545412367545071,4.1104151076041164,3.2023011511527004,0.38131273448094727,-5.9616588288582859,2.6003462141714992,2.5475879973135891,3.3667727774344387,-5.5798309975899754,3.030913478728384,3.847624904509634,4.0858694380484524,3.9018045729361477,4.1920338934622707,-2.6897437506951389,4.0187827414236965,-4.206093185547739,3.6923328703604641,2.1945270365439358,3.9449616736136379,3.8722015684805813,2.2298027342520657,-4.7807520562447605,-2.6104623013772068,4.3668023413382473,3.7688914602957668,3.2212067908011379,3.7928448981009426,-0.54905425846949218,4.0713917082510891,-5.9773162537850437,-5.0173948937691746,3.3210197752676907,3.708708888884634,4.2753692930899563,-5.7239893609322605,1.6613651579581201,4.114228851195425,-1.8538612061776221,3.6917172735892239,4.8378187483511867,-4.9453610116280613,-0.83209495336189865,3.3578559225760403,-5.2147434884347019,-5.35839688122645,4.3068496054373684,4.8751646345816555,4.1845375364981594,4.1118885344229641,4.1085463827811184,4.2631312674246731,-5.3330701524056492,4.57820618807897,2.0549773043356838,3.2613741224966946,-5.9224170380868015,3.6750012701712551,-5.5498193436898289,2.2872663801871242,3.8686019247733059,3.7571336096487942,0.098260707255452884,3.8851114577017727,-5.919978969696909,-5.3041442567147312,4.1570006674490871,3.8757530516348782,3.4961906737051907,-6.1821497613228855,2.6465786761008205,-5.32397305310145,-2.8081093961037693,1.0950797861777246,2.9624165362082424,-5.6242302590645847,-5.2006577187813816,4.4909569090567532,-5.503446930054575,-5.8125513726510105,-4.4374476605691013,4.3201953238211575,2.3921674555502834,4.0995417898856106,-5.3745692902840672,-6.37182461560145,3.8413716620169582,2.2736622160635891,-5.2250226670540867,3.4526020353995266,-5.3119543725289402,2.6745559042654934,3.217281944151968,-6.477021091584116,-5.1964877778328953,3.3088890379630032,-6.1476582223214207,-5.6930960351265965,3.70802796542272,3.3083731001578274,-5.8063710862435398,4.3496514624319973,3.6548677748404446,3.8021856611929836,-5.7689450913704929,2.4691897696219387,-5.2924097710885105,-5.8526018792428074,-5.672373645905405,-5.6623295480050144,4.1558662718497219,-4.8945668870247898,3.2827888792715969,-5.5241459542550144,4.3123055762015285,3.2845560377798977,-1.624504380825907,-5.9470547372139988,3.8091121977530422,-5.6904171639718113,3.6057592695914211,-4.3515030080117283,-5.7528332406319675,3.2486630743704739,4.1241923636160793,2.8195403879843655,4.6197644537650051,3.9772955244742336,3.7943307226859035,2.5913709467612209,3.9710031813345852,3.8011189764700832,3.296350604888052,4.3865267103873196,3.8908783262930813,3.3374468153677883,-4.4706221753396092,3.2570606535635891,3.8364697760306301,4.2860552138052883,2.4976972407065334,-6.2177075082100925,4.953642970915884,3.0680788820944729,-5.4631804162301121,-1.3357294732369482,4.1042176550589504,4.063956863280386,3.5586420363150539,4.2045790022574367,-5.9334925347603855,-5.5754865342415867,-2.4768989020623264,-5.7706888848580418,-1.037919633988291,4.0581241911612453,2.435252553816885,2.3759418791495266,2.7511712378226223,3.2716742819510403,-6.1108916932381687,2.4087811773978176,4.309628135558218,4.9434748953543606,4.0921040838919582,-5.7354863816536961,4.7850753134451809,1.5081285303793848,3.1360293692313137,-0.72175849691405891,3.5372740095816555,2.3448590105734768,3.9707208937369289,2.9682651823721828,0.64330697714909912,3.1923199957571926,3.8910366362296047,3.86671937167272,-3.0602270299233494,-5.4041060143746433,-5.8222106629647312,-5.4442418748177586,-1.4495434695519507,-5.7719706231392918,4.0788031882010403,2.8299533194266262,3.8279835051260891,2.2619544333182278,-4.2111350232399998,-6.4100536042489109,4.3074675863943996,4.2125812834464016,3.278535491820425,4.8723198240958157,3.7191401785574856,0.23066902815923096,4.1810804671011867,2.9881712263785305,2.3492690390311184,-5.6914991074837742,4.1613327330313625,2.7096418207846584,1.9107128447256982,4.1415544813834133,3.9326931303702297,-6.0249489480294285,-5.4014824563302097,4.0656186407767239,3.9642750090323391,0.70927036463841797,4.6895667380057278,4.2933746641837063,-5.2602528268136082,4.1233750647269192,2.7530199354849758,-5.8193434411324558,-6.1109894448556004,-1.0728792184628546,-5.458196514252573,3.6278320616446438,-5.9495462113656101,3.2712379759512844,2.9602612322531643,2.2454253500662746,-5.9845112496651707,-3.1521202260293064,3.6474958723746242,-6.0393150979317722,-5.7518080407418308,-5.7148393327035008,-2.0283108884133396,3.2670952147208157,-5.9730290108956394,-6.0209578210152683,2.3493365114890041,-5.3508690530098972,2.1166299647055569,-5.8466519051827488,-5.1293190652169285,4.5781961744986477,-5.8394626313485203,-6.0309356385506687,4.4323755568228664,-5.3975976640023289,3.7564607924185696,-5.6858676606453953,-5.7005304032601414,2.5634144610129299,4.5063401526175442,4.1718541449271145,4.540925628539175,-4.5778638058938084,-4.364221208695322,3.5970946615897121,2.1566151446066799,-6.0058206254281101,3.7745324438773098,3.1083837813101711,1.3716536825858057,-5.9610012704171238,3.0642060106955471,-5.7542136842049656,3.4612490004263821,3.6092368429861965,-5.5800021821297703,3.1013876265250149,-6.3277510339058933,2.3361758059225979,2.6442028349600735,3.6401864355765285,-5.8642514878548679,-6.03074156582728,4.1436320608817043,-5.7518442803658543,3.8260375326834621,1.272380716200918,-5.3374651604928074,-5.1970995599068699,3.797756797667593,3.2268775767050686,-5.1002482110299168,1.0198576515875757,0.31130755602940918,0.48062289416417481,4.2756167715750637,-5.9069336587227879,3.9822994536124172,2.7996984785757961,3.729941970702261,4.0360781019888821,4.5250836676321926,-5.6807621651925144,-5.7964295083321629,-6.2621782952584324,4.3417240446768703,3.8146392172537746,-2.3665174180306492,2.9567765063010158,3.9070087736807766,-5.3787101441659031,4.0860859221182766,-5.9691227608956394,3.6438437765799465,3.4250918692313137,-4.2681220704354343,3.875729209776968,-5.8648399049080906,-5.5565107995308933,3.5692497557364407,3.9789401358328762,-5.6811984711922703,4.2586289709769192,1.7590841120444238,3.5297552412711086,2.3529039686881008,-6.1315530473031101,3.7280699080191555,-5.3548949891366062,3.2782713240347805,-6.2212966614998875,3.5055633848868313,-5.4770072633065281,-0.9730303221978247,3.6990600889883938,3.7497507399283352,-5.3982642823494968,-5.8888567620553074,3.8859354323111477,3.5195432966910305,-3.8963805371560154,1.8053032225333154,1.4098991221152246,3.5934301680289211,2.5643507307730617,2.7622026270590725,3.8044158285818996,-5.9591859513558445,4.1719976729117336,3.64369691073522,-5.4930647546090183,-5.7994507485665379,-5.3392757111825047,3.3259717291556301,-5.4468868905343113,-6.3571780854500828,3.2842856711111965,2.3560041254721584,-5.2326768571175633,3.7973028486929836,3.8533784216605129,-6.110382907990366,-5.2379931145943699,4.0392576521597805,-5.8231190377511082,1.1200755900107324,4.1074754065237942,2.8175944155417385,4.5524135893546047,-5.6430138284005222,-0.59149248242750763,-3.3063419991768894,-0.87759719878807663,-0.5074914628304541,4.0615278547964992,4.4845186537466946,-6.1248058015145359,2.3313630884848537,-6.0432237321175633,4.2014442747794094,3.8849631613455715,-3.2771187955178318,4.2126609152518215,3.7082096403799953,4.0735517805777492,4.3654242819510403,1.9640537565909326,2.6016289061270657,3.8542548483572903,3.0065325564108791,4.0419470137320461,4.1198397940360012,-6.0586279565133152,-5.1990746194161472,4.7570358580313625,3.9814606970511379,-0.085499518517404782,2.8601588076315823,2.3237930601798,3.5537105864249172,4.019373065825552,3.6876221960745754,-5.7977875405587254,-5.6799820596016941,4.0421482390128078,-5.2353085213936863,4.1839581793509426,3.8697253531180325,-5.2171081239022312,3.1247845953665676,-5.2775639230050144,4.3466187781058254,4.229857570525259,-5.8318871194161472,-4.0895787411965427,3.4561802214346828,-0.86872646302357315,-5.2169026070870457,-5.7484263116158543,2.4695133036337795,-5.0677164727486668,-5.508423679474741,-5.7000273400582371,-2.384531849030405,1.4761222666464746,3.864562160369009,-3.9497762852944431,4.8315531080923977,3.0862537687979641,-5.9344409638680515,-3.4777868920601902,0.21113300978764893,4.840610629912466,4.8818041151724758,-6.0327304536141453,4.0719081228934231,2.6357158487997951,4.2293235129080715,3.840809947844595,3.3152538603506985,3.6268993681631985,3.0060921972952785,4.0086442297659817,-5.1835802727974949,2.4848958319388332,-6.2344092065133152,-5.5369199448861179,-6.3334220582284031,-6.2132896119393406,-5.066432827118784,-1.4480543667115271,3.3920031851492825,4.4146901434622707,-5.7791112595833836,3.1617196863852444,-3.8526743584908543,-5.9049895936287937,3.5681854551993313,3.6677147215567532,-5.6211966210640965,3.6967369383536282,4.1724149054251614,3.472437030669302,-4.7719811135567722,3.929534084197134,2.6585174864493313,2.4152344530783596,-5.0892194443978367,3.7046052283011379,3.3906790083609524,4.7917453116141262,2.8252738779745998,4.0964404410086575,3.8458415335379543,-6.1054814988411961,1.3883909052573145,2.5578230684958401,4.1579734152518215,3.1511603659354153,-5.3443311387337742,-3.804554575089365,3.9519139593802395,-5.7158354455269871,3.0774141615591946,3.7683998411856594,-5.7632640534676609,3.9628754919730129,-5.5107792550362644,3.9301687544547024,4.6595903700552883,4.1110025709830227,-5.9925340348519383,-4.9079335862435398,-6.0116313630379734,4.0381800001822414,-5.4791096383370457,4.6404048269949856,-5.9147142106331883,3.2200423544608059,4.5811253851614895,2.5719155138693752,-5.3072446519173679,3.4785252875052395,4.7884126967154446,4.8735128706656399,0.93153310477361084,-5.5963596040047703,1.4240881270132959,4.1605702704153957,4.401481277342886,4.4116336172781887,2.2761439150534573,-5.4898661309517918,-5.9866064721383152,0.052783197756856692,4.2244850462637844,3.0144556826315823,-5.5977681809701023,-6.0059684449471531,-5.1179498368538914,-5.9642866784371433,4.755299693938345,-5.2662986451424656,-5.939667575959116,2.5774887865744533,3.598171836730093,3.0617722338400783,-5.761318081025034,3.9120718306265774,2.3118149107657375,-0.94558409691229461,4.7828432387076321,-5.7654126817025242,0.027312404509633792,4.2756439512930813,1.9600929087363184,-1.161150538329035,2.0367411440573635,-5.0087841683663425,3.975620395537466,3.1880821055136623,2.7272015875540676,4.3192216223441067,3.8340650862418117,2.8559435671530666,3.5511461561881008,-1.1332349711693823,-5.4355901414193211,-3.4096795254983006,2.4791776007376614,4.6648203200064602,4.1341716116629543,2.2596844500266018,-2.2627447778023777,-5.6280082398690281,3.6935759848318996,0.045447177287191165,-4.5587662392891941,4.2700878447256985,3.568332797881216,0.053109652396291507,-5.3360952073372898,2.4490696257315578,4.8878732985220852,-5.5685132676400242,-6.0200279885567722,2.4781998461447658,-5.3996018105782566,3.8232137030325832,2.8570469683371487,3.0393348997794094,-5.3638433152474461,-4.6927961045540867,-5.9462650948800144,-6.0231627160347996,-5.7078756028451023,4.3533126181326809,3.3287721937857571,-5.3460568124093113,4.0853062933646145,3.2402073210440578,-6.1529258424080906,3.6316906279288235,3.9792114561758938,-5.3954003983773289,-5.3247002297677097,4.1878510779105129,3.7272607153616848,-1.2834967309273779,-4.200078838471323,4.2237268751822414,3.784641391631216,3.8982225722037258,-3.4720481568612156,3.3765975302420559,-5.1755126649178562,4.7304683989249172,4.2413960760794582,-5.0755652123726902,-5.8730138474740086,0.63916409670934082,-5.2855743104256687,-5.9280646973885593,-5.8428872758187351,3.1702209776602688,-1.5372922354973853,3.2740551298819485,3.9582825964652004,-5.8968070679940281,-5.4941357308663425,3.8447271650992336,-5.9965819054879246,3.6187459295950832,-5.6920345956124363,4.2110291784964504,-1.2227924102582037,-4.1958619290627537,3.6590329474173489,4.1788326567374172,3.7835108107291164,4.2851477926932278,-4.472365968827158,2.32739413439855,3.7456418341360989,-5.5271786385811863,-1.2761777573861182,2.6533113783560696,4.0993858641348782,3.3688551253043117,3.51955140292272,0.9623799389563501,-6.0224155122078953,-4.9960721665658054,-4.1175070935524998,3.8025161093436184,4.1205469435416164,-5.2678822213448582,-5.5907281571663914,-5.6040223771370945,3.7243415182791653,3.85278475939855,-5.5447462731637058,-5.2768815690316258,-1.0130716794766486,3.7916637724600735,-1.6983771258629858,2.3243960207663479,-5.9584807091988621,-5.6282089883126316,-0.42723717630282043,-5.5163015061654148,3.1376510924063625,-5.6191514664925633,-5.7415689164437351,4.206941253539175,-5.2534431153573093,3.9675642317496242,-6.0725492173470554,1.9586480921469629,4.1869531935416164,-6.2223313981331883,3.8577367132864895,3.9003025358878078,-5.4860662156380711,-5.8056019479073582,3.5305005377493801,-6.1973417931832371,-5.3344272309578953,-5.4571069413460789,3.975402004119009,3.6755405729971828,3.9099475210867825,4.2384554213248196,0.26568508803471924,-5.1797989541329441,3.2572733229361477,4.3663502997122707,-5.3959749871529636,-5.925296180848032,-5.6979926759041843,2.9078658884726467,3.1994730299673977,-5.936590068940073,4.2089210814200344,-6.0896280938424168,3.9946595495902004,0.054381198283284915,3.6767584150992336,3.7615333861075344,4.8140150374136867,-6.4130009347237644,-5.9415091210640965,2.0899595087729397,-5.3260720902718601,3.7020202940665188,-1.6567391091622412,-5.5412248307503758,-5.6700743371285496,-5.2964433366097508,-5.8124340707100925,-5.5755661660470066,2.9057635134421291,3.9530860251151028,1.3539816206656397,4.2713748282156887,3.7435547178946438,-5.8213099175728855,2.9427110022269192,4.6808501547537746,3.6478635138235989,4.4028011625967922,4.4463373488150539,-6.1728409463204441,-5.7990935975350437,-5.689214580658823,-5.6546972924508152,1.1747036045752466,-5.5775760346688328,-5.4664224320687351,4.2264033621512356,-5.6370757752694187,4.0269590681754055,-5.3465093308724461,3.6384803122244778,3.0052238768301907,-5.3552411729134617,-6.0912598305977879,3.7730208700858059,3.4275070494376125,3.6208459204398098,-5.9925941163338718,-5.4850720101632175,-5.6369341546334324,-4.8173636132515965,3.9032551115714016,-5.7200759583748875,2.9863430327139797,4.0981928175650539,3.4018317526541653,4.6671968764029446,3.8511496847830715,1.6804815596304834,3.8968588179312649,3.834314472075552,3.5979048079214992,4.4432860678397121,4.7364717787466946,-5.3801878625191746,2.2328699892722073,-5.7004131013192234,2.710779315825552,3.4951072996817532,3.1732744044028225,-5.6688474351204929,4.6734758681021633,3.1907359427176418,-2.8448234730996189,3.9047581022940578,4.7213956183157864,3.4439202612601223,3.2129169768057766,-5.8644889527596531,3.3282324141226711,3.5844150847159328,4.6877924269400539,-5.7232388192452488,-5.2029036217965183,-5.2021268540658054,-5.2785514527596531,3.6263157194815578,2.479031211730093,3.5073601072989407,-5.2538922959603367,-3.0699297124184666,-6.25950133145228,-0.72990534544363617,3.7311569517813625,-5.8988321954049168,-5.7185310059823093,-5.4856384927071629,-5.2154592210091648,1.5948706930838525,-5.2093313866890965,-5.3409093552865086,-6.0478628808297215,3.8831917113028469,-6.3964275056160984,3.9812675780020657,4.1653372114859524,2.3977209395132961,2.9845653837881985,4.4032703703604641,3.4935313528738918,2.7370964354239407,3.7417784994803371,-5.8190969163216648,4.1854006117545071,3.6822696989737453,-4.2920180493630467,-5.8522084885872898,3.5731941527090969,1.7521566218100488,-5.8279870682992039,2.7569011515341701,4.248017913695425,4.098847991820425,-5.4763725930489597,4.1806789702139797,4.0674892729483547,4.1557580298148098,2.5360230272971096,-5.1990946465767918,3.1759957140646877,3.3869148558340969,4.0969482725821438,3.3270999258719387,-6.1945279771126804,-5.7646449738778172,-5.7636789017952976,-5.1860245400704441,4.5106087988577785,4.19380677401647,1.4348169630728662,3.0483075445853176,1.3041571444235742,3.0737329786978664,-5.1791127854622898,1.1023757523261011,4.0267154043875637,-6.0973647767342625,3.6752859419547024,3.9452782934866848,1.7036799257956445,-5.7025231057442722,2.6535900896750393,0.59107614218816162,2.3053306406699123,3.3949061697684231,-4.742568605545908,-5.3095802003182468,4.11096347033605,3.2922116583548489,-5.3414553338326511,-5.8058999711312351,3.946593410369009,-5.8377684289254246,2.3679226702414455,2.9427760904990139,1.3651951616965234,-2.5972028905190525,4.2035375899039211,3.466514236327261,-5.7322076493538914,-2.0195505553521214,-5.7662848168648777,-5.9279640847481785,4.3577228850089016,4.2267390555106106,-5.7661789590157566,3.7150350874625149,-5.8282102280892429,4.1812874144278469,-3.0853332215584812,-5.0930021935738621,-4.6041163140572605,-5.9298237496651707,4.4462629622183742,-1.1161883407868445,2.9753459757529201,-1.4426591330803931,-5.3608812028206883,3.1076239412985744,-5.6868876153267918,-5.4807642632760105,-0.39783977806940674,3.6715747183524075,-6.0093773537911472,2.7764593428336086,-5.3116773301400242,4.1185156172476711,2.7369030779562893,-5.5967267686165867,4.0319467848502102,4.0021592444144192,4.0022865599356594,-5.8418825799264011,1.6526974505148828,1.1953849858008325,2.820102817412466,4.2609082525931301,4.1749731367789211,4.3862692183218899,4.3566633528433742,-2.4362351828850803,3.3300324743948879,4.012112266417593,-5.6537359887398777,-2.8257852727212009,3.0882600611411037,0.37636244952306153,-0.12059801161661743,-4.0914295846261082,-4.4639335805214939,-5.920357101563364,-5.0288318330086765,-5.9399326974190769,-6.493007534150034,3.1518148249350491,4.3253170317374172,3.7653600043021145,3.1259836024008694,-2.6130442553795872,3.4876762694083157,-5.858338230255991,-5.0883473092354832,3.8392578428946438,-3.0593122178353367,-6.0411423379220066,-5.8218725854195652,0.73053050696477295,3.9582296675406399,-3.4760218793191013,1.3216131991110742,3.2579966849051418,3.1491898363791408,-6.5008796387948093,3.4683419531546535,3.6988960570059719,4.2128936117850246,4.2010084456168117,3.8220959967337551,-5.3025659257210789,-4.2893997365273533,-6.0911062890328465,2.067372447844595,-5.4109014207161961,4.6016327208243313,4.5009285277090969,-4.0317429238595066,-5.2523106271065769,4.2790666884146633,-5.1373242074288425,3.7997213667593899,4.8305007284842434,3.3830891913138332,3.4761420553885403,0.63557816207036377,-5.7402013474740086,3.9067779844962063,4.2600380247794094,-5.9681919747628269,3.1113175219260158,3.7827926939688625,2.5168422526083889,-4.990298622254282,3.9831935232840481,4.1178962057791653,-5.845271938446909,-5.4591568642891941,-6.054481857422739,2.3576153582297268,3.7698017424307766,3.6942468947134914,3.8944641417227688,4.6226311987601223,2.5652514761649075,-5.1815284425057468,-5.5244868928231297,4.1578036612235012,4.2988306349478664,-5.4960130387581883,-5.8595412904061375,3.6086574858389797,4.1299988096915188,-2.9065550500191746,-6.0575002366341648,-5.3156188660897312,4.0152269667349758],\"y\":[-2.4239424188975245,4.5609880963917817,-1.3609242161158472,-1.4919820149783045,-1.060248257720843,-0.0031989534739405023,5.2746326009389009,-1.9571644981745631,-2.0396699627283961,0.50371637741290032,2.8119253198262304,5.4130541364308442,5.4319583455678071,-4.1813345869425689,0.82002225319109856,-3.361192556226626,-3.4751935919169337,6.2332655469533051,-1.9023222645167261,-1.1458798964861781,0.070623842870816578,-2.1729515512827784,-1.3012585361842066,-2.3668752630595118,4.1861511746998872,6.1666990796681489,-0.07431981166638435,-5.0962627848032866,-2.4883317669276148,-2.0352490862254053,0.68722930351458489,5.3556334058400239,0.84017362991534172,0.15182634988985955,-2.3230533321741968,-1.8098151405695826,6.3171145002003755,-1.5227970202807337,-1.9278317411784083,-2.0975117405299097,-1.8467319925669581,-0.24890917738713325,5.2868897000905122,2.8192738572712988,-2.0351397713068873,0.27459999719820916,0.21939983764849602,4.8468886891957368,-1.251596780622378,3.2370296994801611,4.0774675885792817,-2.157822104299441,-3.4739092310313135,-1.0692414363268763,-1.9240455349329859,2.4415027181264013,4.9130069295521821,1.6697985211964697,-3.5910936315897852,-1.6339909156206995,-0.10385725101269783,6.13976636329852,-0.1988587697390467,-0.72892709089256824,1.9006220380421728,-1.7581078728083521,-4.1603685339335357,-3.7919968088511378,-2.6646362264994532,6.2563449422474946,-1.8575770576838404,5.4354602376576509,-3.8577817400339991,-0.86170599063672126,-1.6714509447459132,6.1034232656117524,-1.7020700295809656,-3.5910142382029444,-0.90599982639588417,-3.278905244672671,0.34204461971484124,-2.493720861280337,-2.9189573248270899,2.5575565377827734,2.1375414411183447,-2.3076520880106837,0.85956921974383294,5.5023647824879731,0.1226136366482824,0.90666511455737053,-4.3640995939616118,0.78360476890765129,-2.229204030836001,-3.5964950044993311,-2.7376447637919337,5.8229342977162446,-1.4376525600794703,-0.0071892460230738031,1.0902816335316747,-3.723750682676211,-1.545060189569369,1.8917509595509618,0.10975864330492913,3.767842916643247,1.0953157226201147,4.7440544644948091,6.2671872655507173,5.0375486890431489,-1.4930325468424708,-1.6865774711016566,1.3132356683369726,-2.5282889326456934,0.2322489897366613,3.053478149568662,-3.6445847471598536,-2.0364881475809962,2.1979185620900243,0.4737764875050634,0.34391608635149895,3.1931356469746679,4.6984931508656587,-2.3206523378733546,-1.3709589560870081,-3.3848780115488917,0.10801014105044304,-1.8686189373377711,-0.27822473844327034,1.7524751702900976,-2.2824387272242457,0.040917066728696216,-1.8718527277354151,3.5393640081044286,-2.5310460050944239,-0.79395885964669288,-3.6142457445506007,1.3428472558613866,2.1670099774952978,-1.0547011216524989,0.053220657503232349,-2.5049843510035426,-0.078191729390993725,0.58263471523486077,-0.33809483250416816,-3.0026050527933985,2.1802228967305273,4.2852317372914399,0.075537113344296802,-0.45325485070981086,-2.1088388880137354,5.6170193235035981,-0.0042112191561609613,3.6995402852650732,1.3101433793660253,3.7294951955433935,3.2245275060292333,-2.5156374891642481,0.19655898014269768,2.7750836888905615,3.9751702825184911,-1.3423747738245875,-0.79763170530833305,-3.783922048414126,5.7760783712025727,0.4742647687550634,-3.9147642572764307,-1.4897038062456995,0.72149756351672112,-4.6768530329111968,3.9998981038685888,2.9275032559987157,3.9596087018605322,-1.4805615266207606,-2.3055076321009547,5.709130434190854,-0.66058179190196098,-0.68876549241878093,-2.0615666826609522,-1.4961245973948389,5.8569709340687837,-5.3729494531992827,-4.7047046144846831,-4.5010617693308745,-3.0754037817362696,-2.2853716333750635,-2.3944978435877711,5.0284039060231294,-0.52450566192902626,5.862429765855893,-3.6829043348673731,5.7198440114613618,5.8193899671193208,5.4614092389699067,-1.839825483167544,-0.37305695017613472,-2.2612950523737818,-1.7410278042200953,-0.47179021140374244,-2.8548248728159815,0.93267014423571526,-0.28739908536709846,6.1978861371632661,-2.2965886314753443,6.0330149213429536,-1.8899432142619044,-1.9679584225062281,-4.8555706461314116,3.2717842141743749,6.2791606465931977,-2.1638055761698634,-1.2251872738245875,-1.6241277178172022,4.5317422429677094,-2.5921070297602564,-1.6452137549761683,-2.5512525757197291,5.8063866178151216,-2.8423815687540919,-4.3189624269846831,5.2906090299244966,-1.2093105038050562,-2.2468459328059107,3.2060834447499365,-0.22580784758366645,-5.0903199633006011,-4.9740699251536284,-1.5329989512804896,0.3640733043309301,-1.9681979139689356,6.0053149739857759,-4.7634843309763824,-2.3324273546580225,4.7507134954091157,-2.1058399399165064,-3.3286565264109522,-2.1642199476603419,6.1403819600697602,-3.1477533300761134,-2.4249170740488917,0.032660750543698658,-1.5147729237917811,-1.7047620733622462,-1.7407974918726832,5.9290868322011079,0.73337867656908928,2.081605819856748,-2.7303775270823389,-3.3545483072642237,3.7827760259266943,-2.4628283699396998,-0.18605199655331672,5.7512680570241059,-0.62760734757222236,-2.2259094437006861,0.66038360992632805,-1.7920636852625758,-1.9738279302958399,-1.9679617603663355,-0.75979690825380386,4.4477821866627778,3.7065235654469579,-0.47790557345189155,0.37111750045977532,-1.2477879842165858,5.3866788426991548,4.6404534856434907,-2.0194360931757838,0.24557277361117302,-2.1719521005991846,-2.534595580900088,6.0664698163624848,-0.97541529139317573,-2.9255004843119532,1.4162239114399999,1.2918585816975683,-1.7989293058756739,1.5153717080708593,-2.089099975431338,-5.2532542665842925,-0.6945296322349459,-0.55396698614396156,-2.0415210445765406,1.6229487935658544,-0.38922444185055793,-1.5070934613589198,2.724437622224912,3.1053611318226904,0.36135938564501702,5.0215751210805024,1.0733109990712255,-1.1420734246615321,4.5590206662770356,5.6490041295643891,0.79236331382952629,5.1439806501027192,0.90493681827746331,3.5825807134266943,-3.3516133745554835,0.96703484455309807,0.013699082529172291,0.43656936088763176,0.18593749204836785,-2.287687393033877,-1.1840383132342249,-1.854727359617129,-1.2767833789233118,0.62264111438952385,-2.3413816412333399,-1.5632042010668665,5.9288293401356782,-2.3667430599574,-2.6569406708125025,-4.9233997782114898,-2.4469978531245142,-3.4312649687174708,6.3557030240651216,6.2044831792470063,6.2774120847340669,-4.958230348432437,0.73083033958636223,-4.9192923029307281,-2.1936223228815943,-1.0237523933295161,-1.9902027567271143,1.2441510240193456,-2.3397497852686793,-2.555000158155337,-0.081854196393862377,-3.352185102308169,-1.7697127779368311,5.1079546491261567,-1.8375985344294459,-3.7284103353861719,-2.6187299211863428,-2.6839514692667872,-2.3111585100535303,-1.5935382564906031,-1.7216208895090968,3.1498731652852148,-2.1834809502009302,-0.81959226926602424,0.29429247776232659,-4.2564638574961577,-4.0790687521342193,-2.2445436437968165,0.86365702549181878,6.2456165830250825,3.1487597505208105,5.6828376332875337,-0.31161385973729194,-3.3768814524058253,-2.1371415575388819,-2.4847284277323634,-0.63256122370995582,4.585175184404477,-0.86869067152775825,5.7339288274403657,-4.7821448763255034,-1.6008018573168665,-1.3599250038508326,-0.89102895756997169,2.0458225289937109,-3.0228110273722559,3.6446587125416845,6.1587616483326997,6.3113709966298188,-0.93845525583066047,0.27336951891146599,-2.2699178179148585,-0.8309136574510485,-0.5421614368800074,1.9949585477467626,-1.3848834355715662,-1.2548774202708155,-0.303394796455279,-1.8503794391993433,-1.6082303841952235,1.0362267772313207,-0.25962552627362312,-2.2054419239405543,0.15909203687869011,-2.3545452078226954,-3.8162888010386378,-1.7407530268076807,0.15898248354159294,-2.9843977411631495,-4.7334559877756988,0.4603710452672094,6.5101992169972505,-0.99471473892964424,5.3173429051991548,0.010975567495450367,1.3160141984578222,6.0811940709706391,4.2911726514454926,5.8067003766652192,6.1516915837880219,-3.8477219065073878,-0.56223127445019783,-0.60679900100268425,0.26178195873461663,0.77471056381426751,0.02344634929858147,-2.0636211355570704,4.3087302724476899,2.5385943929310888,-3.7607172449473292,-2.8300114591959864,1.6987279931660741,6.1059791127797212,-2.367948623502627,-1.3026901801470667,-1.582632096612826,-2.562305541837588,-3.0956462343577296,-0.49307361444272102,-2.3902754505518824,0.096637038385495533,-1.002995671832934,6.155241159593686,-2.3592964132670313,-2.2031477411631495,0.19480547109805046,-1.5894029458407313,-3.7234464605692774,-0.57716794511117042,1.0069606582280248,-5.3106635530833159,-2.7188754995707423,-0.67533974921144546,-1.5247779806498438,-3.3243452032450587,3.8057982007618993,1.7180282155629247,1.8951307813283056,0.38730898300372063,0.4815432111378759,3.4106136838551611,3.9369875470753759,5.7471791783925141,-1.6154571493510157,-2.5282175262812525,5.5046383420582856,-2.2374744137171656,-0.74580705364979805,0.63541057506762444,5.0971418897267426,6.0172392408009614,-1.1334699412230402,3.5790030042286962,-0.63466766675747932,-1.9919628818873316,-1.4715509136561304,4.1195961515065278,6.0665365735646333,-0.15717074474133552,-0.83351120551861824,-0.041548641527071606,-3.4789639433268458,0.08589747348986565,2.8287989179249853,-4.2947400530222808,-1.6391935070399195,0.73227992454729973,-1.9409398754481226,-1.9238525350932032,-3.2999371012095362,-2.4444392641428858,0.584676412736997,-0.47898596724309028,-0.063820513093844067,-0.85163870652951301,1.7567495385762304,5.9222551862355317,-1.4317240436915308,-4.290679307783023,-1.6689185818079859,-1.9907366951350123,3.6644283811207861,-1.208278807008639,-3.2294615229014307,-3.53181395133771,0.16766300598345696,-3.8767207582835108,-1.6996605714205653,-3.1247032602671534,2.3767744580861181,-5.1896551569346343,-2.085426183545962,0.15554716983996331,-3.1717403849009425,2.5828756372090429,-1.5759708603266627,0.50336995521746575,-0.00096622308529914491,-3.531302066648379,2.3629836122151464,-0.51668662031926216,6.5097676793690766,0.10245349804125725,2.4005526582356542,5.1191674749013032,-2.2253373583201319,3.7342983762379736,-4.8967646082285796,-2.1765366514567286,5.1614891568776216,-3.658861013257876,1.1124904433842748,-1.3171585520152003,-2.0713031013850123,-1.6945940574053675,0.51691594520770012,-3.4552353342417628,0.68430438438616692,2.1503387967702001,-0.44561726053990425,-1.3538924773577601,-1.7000657041911036,0.19344046512804924,-0.25588000019825996,4.1527763883229341,-0.056277902925387036,-2.3305705507639796,-2.6961437185648829,-1.2722177823428065,-0.1896642764452845,-0.37577939232625068,6.5140706578847016,-2.6139056404475123,6.2066051046010102,-4.4964416941050445,1.5446392575856298,0.22592374483309685,5.8738400022145356,-2.5415188988093287,-0.46387927433289589,6.3667241613026704,-5.0694449861887847,-2.1448111256007105,0.58100822368822991,-0.52378004988469185,1.5315343419667333,0.30252352157793938,-0.27326551278866829,-3.302570434415713,-0.26172504028119148,5.6343637982960786,-3.9731949289683253,4.9236470739003266,-0.017684849107638012,-5.1671312769297515,-2.1053601225260645,5.7960950414296235,-0.75854998281039299,-0.19752535423077644,5.9886652509327973,-3.0913077314738184,5.5834752599354829,5.8752571622487153,5.6014906446095551,-1.6426285227183253,2.61355319420062,-2.5852859934214503,0.032042411958798755,0.14958980480395256,-5.4139483888987456,-2.1020459850672633,0.086386946832761158,5.8410164395924653,-1.2037187536600977,4.2020098249074067,-2.2779335697535426,1.0987122336979955,-3.459409805143252,-2.2577160318735987,5.1850587407704438,-2.6689614971522242,-3.7811191995982081,6.1284867803212251,2.7336803952809423,0.34952881733141838,-3.34799465736188,6.1840998212452973,-0.59392323544062675,-2.1494937857035548,-0.99437400897778572,-2.485010357702151,-0.55357498129643501,4.2672535459157075,-1.966421695554629,-1.3056107481364161,-2.0817610939387232,-1.8661416490916163,1.1090861837025732,2.5411118547078222,-0.28003990849293769,0.32085719505511223,-1.5454110821131617,-2.0634958465937525,4.3861509839650239,-1.7415537556055933,2.8075331727620214,-1.8260016163233668,0.1392575780507177,-2.8897417505625635,-3.4982336481455714,-1.4735290130022913,-2.5246780832652003,-4.7272222956065093,-5.0906585176829253,5.9258219281788911,3.3085028211232275,-3.1412273367289454,-1.4506988843325526,-1.7402947862986475,4.1155492345448579,-1.8608510216120631,-2.1143266876582056,-0.94771781762875618,0.50713565746508538,0.45906033912859856,-0.46734926303662361,6.0061265508290376,-3.1791225393656641,-1.5013940056208521,-0.26577314933575691,-1.7897350510004908,5.63598218361102,-2.0897912701014429,-4.5101326425913726,-1.6685838421229273,0.97515573898516594,-2.7128883322123438,-0.32605084975995124,-3.5607670267466456,1.3025166074391454,-3.6134074648264796,5.893799451982602,3.2949859181996435,-4.6001072843912993,-3.0487497766856104,-4.0350559671763335,-4.5549701174143706,2.9335071126576513,-2.3022573908213526,-1.7962529381159693,0.5133655349370092,5.6860047856923188,5.159546522295102,-4.9965170343760406,-2.1413491686228663,-0.82106331934966148,6.3522821942921723,-0.51868814429081977,-1.7872458418253809,3.3782621900197118,-1.169714810455218,-2.4311220367792994,1.5110184232350439,-1.2300030310992152,-1.2066546698454768,-1.225744934881106,-3.5523766001109034,-2.6143294294718653,-2.6177423914317042,6.0290595571156587,-0.50202726026810707,5.5554124395009126,-2.0825966318491846,0.82027926841937004,-1.0108128507975489,5.9120933095570649,-0.79877247860468925,5.0785557309743012,-0.31409719785489143,-1.3025124987009913,-4.4558144529704009,-2.3140825947169215,-4.6657434423808013,0.41521671215258538,5.1376625577565278,-3.4929128607157618,0.48376431862078606,0.29471722046099602,3.2478906194325536,-2.2987181862238795,-1.0797995050791651,4.2867161313649262,0.0086186210270970953,-1.9105398376826197,0.51899733940325676,3.5210286656972021,-4.0809699018839751,3.3192664662953466,0.70587757030688225,6.1707736531849946,-1.5136269052866846,4.7605287114735688,1.2189218083973974,0.45066287914477288,-0.091579588258638989,-1.3130245526675135,-2.0013136585596949,4.0836221257802094,1.0017936507817358,-2.5277898033503443,0.11476179758273064,-3.4343720396403223,6.1084958593007173,3.0255440751668066,-4.9682110269907866,-0.095709474885836254,-0.18845281204022468,-1.0779137929324061,-2.2594849785212427,-2.3959475477579981,3.6926156560536474,5.6331044713612641,-2.3972980697993189,-2.1494072397593409,-1.8019695003870875,-2.0892197807673365,-2.9782463034037501,-2.4243255575541407,3.3101173917409032,6.5054933110829438,-2.6928626020792872,-1.9548871239069849,-1.0323364158514887,3.8065759221669286,0.62841287056170403,-3.9875546415690333,-1.8541104515437037,0.92590418258868157,0.30194666782580315,-1.5018984397295863,0.4845412055607885,-0.17712667783536018,6.4476925412770356,-0.47259341379441322,-2.5780229290369898,-3.4406310041788966,-1.6972892006281763,-1.2190810163859278,0.82663360038958489,-2.8337613066080958,-1.8718189915064722,-2.4918985088709742,-0.4765626957062632,3.815107492601499,-3.0737915953043848,-4.5077687223795806,-0.55044420262612404,1.6344713250752538,0.59758129516802727,2.3286994973774999,-1.5176588614825159,1.3997396508809179,4.3693019429799165,-3.5230122526530177,-2.2236046512965113,1.099791912233457,-1.3247968276385218,6.2552506009694184,-4.1716831644419585,-1.3806635459307581,-3.7157302816752344,1.2596484700795263,-0.46185544332303108,1.3177145997639745,-2.3060733993891627,-0.057403357828035961,-2.1491220911387354,-1.5088147242907435,-2.2488428076151759,0.89430573383532463,-1.2219919284228236,-1.7824537475947291,4.7233945409413423,-0.8146330138090998,0.60548105636797844,4.515163091814145,-2.2426744421366602,-0.93062654336728157,-1.4334760030154139,-3.3568438013438135,-0.10162368615902961,-1.2473947127703577,-1.5495269616488367,-3.387439819181338,-2.4978031834010035,-2.4426278789881617,0.23960020939074456,2.0904172937031835,-2.0420862158183009,4.447622923051938,0.33577218452654778,6.0066849271412934,-1.2338218410853297,-0.76057930489815773,1.4095458070393652,-0.41820094188489021,-3.2321222742442042,5.8363801519032563,-3.3232058008555323,-2.5770795067194849,-0.31931096514500679,0.72523787418566643,-0.036010058725252758,-1.6460498293284327,-4.2690785845164214,5.3818947354909028,-1.8912765701655299,2.2370673696156591,-3.2408536394480616,-0.01739844878949226,-1.6100855191592127,1.1436475793477148,-2.5046910961512476,1.2412191907521337,3.1574496308919042,-1.7195602377299219,-4.7333548982981597,6.1509872953053559,-0.61843190541304649,-2.2150703390482813,-5.430299611890689,-2.640328617895022,-2.9598692377451807,-2.3358186205271632,2.9129666368123144,1.7064711133595556,-2.3687793930415064,-3.3262511213663966,4.272367624437436,-2.3304073532465845,-5.2894814928416167,-1.5694117864016444,0.69464531341753899,1.2206509391423315,-0.38724771341122688,-2.281199904287234,0.87080135742388665,-3.0151425321940333,5.7142797986622895,-1.7597033699396998,6.3953572789784516,4.580111650621518,-3.4103980978373438,6.4420615712758149,-4.1383369882944976,-0.40766781767643989,-4.5225485285166656,-4.4413059671763335,6.0136028806325044,-2.5683570822123438,-2.0698828419093043,5.9267965833302583,5.8210684339161958,-1.584379287565127,2.4513479749318212,0.31395700374804436,-2.8859759291056544,-1.6249425133112818,-2.4603950699213892,-1.8524055202845484,-5.2353986223582183,0.18474444547854363,-2.2207362373713404,5.3366757909413423,6.5767537633534516,4.927673963701352,-3.2087076624277979,-1.4646193703059107,-2.422739358747378,5.3576818982716645,-2.099086376035586,-0.80372051348723472,-3.9434927423838526,-2.9411636312846094,1.1226489822026342,-1.3077832778338343,-0.78446293076314033,-0.68009287318028511,4.4954034368153657,-1.7862660606745631,2.6894771138783544,-1.0091382583025843,1.5287803689595312,5.8734637776967134,-1.9619347771052271,5.6830383817311372,-2.5390444715861231,4.1398221532460298,-1.2197047789935023,1.6846672574635595,6.1165787259694184,-1.2854562123659998,-0.56570275327004493,-2.1670902689341456,-2.8032799681071192,-1.1525176187399775,-2.3812174518946558,0.88983025947771965,-4.9088624437693511,-1.5525943954829127,-3.266095014417544,-1.3213318904284388,6.33929028907977,6.3083335439320649,5.3751651326771821,2.3950490037556738,-2.5892675836924464,-4.4900182207468902,-3.7087305506113917,5.0579430142994966,4.3881346265431489,-3.241342874372378,-0.76926513587869705,4.7141295949574555,4.8203302899952973,6.2412511388417329,6.1266581098195161,3.4219328443165868,2.9060088674183935,-1.6100386103037745,2.0702642480488866,-0.63595286955870689,0.001632181799039234,-1.7061382254008204,2.1587850133534521,-5.0214823206309234,-1.8804079016093165,4.8964935819264497,-0.22585761746205391,-0.9315751661900431,1.6518577615376562,-3.7565096338633448,4.5343104879017915,-0.25433305105008186,-0.59171976348198951,6.2357431928273286,-3.9927330931071192,4.1006461660023774,6.3245631734486665,0.31341960827074944,-2.3546580990199,-0.027807446325197827,-1.5766496380213648,-3.1263745745066553,-2.0799854715708643,-0.87494377990998329,-4.1723013838175689,-2.6738413294199854,3.1740800420399755,-0.7417087220940739,4.9637571851368989,-2.4503285606745631,1.6926080266591161,0.85934927860461174,3.4705716649647802,-3.294992776716128,-2.8455587347391993,-3.1253803690318018,3.7592670003529638,-0.76378666808642448,-2.0003306587580592,2.2952796498890966,6.1151291410084809,-1.1817605515364558,-1.4531759341601282,-4.4622977693919097,-0.50720545848645271,4.1018168012257661,3.4780861417409032,-2.2370871027354151,1.986632732545957,-1.8131473978403956,-5.0639975984934722,-2.3007143457774073,-2.705123277509585,0.035058585798367847,0.22291055122576653,3.6925312558766454,2.8941611329670995,-1.845871420705691,0.78922310272417961,-2.3646841963175684,0.97853210369311272,-1.6979959925059229,-5.2773097475413238,1.0312146226521581,-2.0426032265070826,-1.8615666349772364,-1.660240681970492,-5.3637460192088042,4.6611811200734223,-1.0947847386244685,-1.9412618597391993,-3.1654377897623927],\"z\":[1.7209126597205178,0.304718563512899,2.9518279677191748,-0.11627197806444017,2.527021372870542,-1.1616564149102195,-0.44043216650094835,-4.4422009343346582,-1.8901479596337303,0.64212461765203632,0.90162458475027241,-0.5616598481377586,-0.31387249176111071,1.6474694853583352,-1.8559828156670555,1.3017032986441628,0.53710638935957111,-1.2055859917839988,3.2410707121649756,3.5603587275305761,2.2997942810812964,-4.4041054600914942,3.0363416319647802,-4.1149027699669825,0.53898705001268543,-1.3542396182259544,-1.0455540770730003,2.2678830271521582,-3.1062190884789453,3.3926832323828711,-1.9399180764397606,-2.1132080907067285,0.8171541338721291,0.90080531890783466,3.2868349200049414,-2.2322132939537989,-1.6255686635216697,3.6978158598700537,-3.3646304959496485,-4.3691227788170801,-0.46031162683572618,-1.7735357636651023,-0.24576518480386583,1.0056945925513283,0.77559181507024921,1.1263341551581398,0.76457359846029438,-2.0971832627495752,0.32114868070278318,-2.1789520138939844,0.59330972488317646,-4.064512526436709,2.7288589125433935,-0.74776128475274883,-3.9802940243920313,-2.265229021950625,-2.1370454186638819,1.3236580735007302,2.5187892561713232,-2.0720038766106592,2.070060694769956,-1.8430841321190818,0.54968904908094562,-1.9872184151848777,-2.2787847871026026,-0.65203252975549542,2.3033556586066259,1.9580397253790871,1.5473641997138039,-1.1801981085976585,2.8522421961585058,-1.9414627904137596,2.2424358969489111,1.4935800677100197,2.6814934855261816,-1.8734398240288719,-1.0633577460488304,1.3253179436484352,-1.3942010754784568,1.4389643317023293,0.87805118616018452,3.1031601076880468,3.1063513403693213,1.1078978424826638,0.92488339002523579,-0.33500662986841051,0.91635533626470722,-0.61538109724130474,1.9235921746054665,-0.84139434043969952,2.2650366669455542,-2.0481994504174219,-3.7735307568749414,0.60138397868070759,-0.051875984116457385,-1.3837494010170921,-0.086225038214586658,0.22023350949678572,-2.3228574151238428,1.8464862948218361,3.7029113417426123,1.2781826501647011,-0.56737945024576031,0.46906028892192991,-2.2135410660943018,-2.0628683919152246,-1.2380369061669334,-0.04046544973459093,0.837201023654081,2.9908573275366797,1.2327821498671547,1.9862050658026711,-0.17170277778711168,-2.2872708195885645,1.6243790036002175,-4.4389136189660059,1.1687112694540993,-1.7915833348473533,-0.93923786823358379,0.89649810846243061,-0.089318996115587634,2.4751481657782568,0.021782869652844983,1.0894958620825783,2.415010178641416,-2.4634974354943262,-1.4219024533471092,-2.0867083424767481,-1.6111193055352195,-0.87906924430932842,3.3997888212958349,0.84418412502203144,-1.2857990616997703,-1.5206691378792747,2.2332950478354467,1.4481854086676613,1.1002716666022316,-1.3295537585457786,2.6543135290900244,2.2881769781867041,-0.75032225792016827,-2.3060582036217676,-0.78535715286340557,2.4039139395514502,-2.3108218068322168,0.51729873772058643,-0.67585364524926983,0.053315753296948987,-1.8620951527794822,-1.9020243043145164,-1.2004583234032615,0.78582485969457783,-1.6618275994500145,0.86647834833059467,-2.3881311768731104,1.5621211176672951,1.9238834028998391,1.0202697759428994,0.47894205357227476,1.3589428907195107,-0.32135615293588488,0.68090977723989643,-0.55646727029886089,1.5054069405356423,0.55365350301656879,-1.5736995095452293,0.95347877796087421,1.1247000342169777,0.71669798548612751,-2.29292706195917,0.71361448820028461,3.739574158743955,1.3499763255873696,-0.61775795166101299,-2.1065354699334131,1.6193426495352761,-3.5662513131340967,3.0720355158606543,-1.9200106019219383,1.8633428459921852,1.5980829840460793,1.7556627636710183,1.7654970532217995,3.3954834585944189,0.94232525880727924,-1.9662084931572898,-1.849751507683657,-1.9525401944359764,1.4878282194891945,-0.63729122821893536,-0.7145071381768211,-0.39546743576135485,-1.3430507535180076,-2.0330062264641748,-4.1679814213952051,1.0494790321150795,1.4979819899359719,3.2407769804755224,-1.3561985844811424,1.0498764162817971,-1.191149269982241,-2.0094900483330713,-1.8639381283959373,-0.47995248977746813,-4.5793383473595606,1.6782898550787941,0.74070682580862202,-1.5883779877861961,-2.3771019334038721,3.1538161879340185,3.7083072310248388,-2.0808737630089746,2.0160249119559301,3.8996264582434668,0.14952222462091597,-2.0323360318383203,1.6737135296622292,2.1459217911520971,-0.31565431301202623,-0.026652877970598621,-4.1024010533532129,-2.1747932786187159,-0.94935015384759747,1.6422769671240822,1.5686887150565163,-1.7098124379357322,1.1636628156462685,-0.7162318581780418,-1.7282541150292381,2.2822488194266333,-3.2276380414208399,-0.078878974362276477,0.74750124867353596,1.5832513218680397,-4.0884254330834375,-1.0145118588646873,1.189559364871122,0.3903947194973007,-0.94834426586236797,3.1389162188330664,3.1442126875678076,0.47066290880832823,-1.2757071608742698,1.0581040626326577,1.1477326398650185,0.32490608300361784,1.9128696566382424,0.5173266773978249,3.0760864859381689,-1.1544330472191795,-1.9826200360497459,-0.64909449760522686,-0.23120782320108263,-1.76178578083124,-1.7653222436150535,-3.3801544064721094,-4.5782168263634668,1.0214734321394936,-2.2039041871270166,0.72845580633077778,0.88445487077627338,-0.29914370719995348,-1.0816707963189109,-1.9775553101738914,0.39048799331579359,3.4803926592627539,-0.32863870803918688,-4.1809685582360254,-0.092906569882296008,-0.93725935165490948,0.74785491283331074,0.18445610459242018,1.2826760655203835,-1.2093589657982811,3.7233423834601416,1.2038882618704811,-0.49340949003305284,1.7500769739905373,0.059543306187726575,-1.8433957452019676,-4.282156741066836,0.72548347170744099,0.66199704463873066,1.3617116456786171,-2.2377672547539698,-2.2304728383263575,1.6928121691504494,-0.30780450050439684,-1.2986466044625267,3.625844443396665,0.34684939514193686,-0.9748978966912254,-0.88790789787378155,-0.12677953188028185,-2.02537015621271,0.84438320453558124,-0.21080580894555895,-1.6897497529229148,2.1563965922156347,-1.2289797419747337,2.7292678004065527,-3.7606008404931055,-1.0677769536217674,3.5967497473517431,3.3604943400183691,1.1257096772948281,1.3127427345076577,-0.76174894516076885,-1.2205983752449974,1.3196410780707375,-0.30704352800454943,1.7848413830557839,-2.7273321503838526,1.1913472061911599,-1.5190250033577903,-1.6133187169274315,-1.6711378449639305,1.64319309051428,-1.9469058865746482,2.2391173487463965,-3.567005431099795,-0.79229167644586407,0.58494160528574146,1.1052656417647377,1.0154487734595314,1.4312659149924294,-1.6040673608025535,1.2016483789244667,0.15209474618826063,-1.9866021031579002,-3.9850170964440332,0.46787341143283995,0.12375443632993849,3.3176071291724218,3.3351301794806494,-0.17860732023324816,-0.40273997728433458,-2.2626276368340479,0.15176876838598402,-1.4128768796166404,-1.7225137109002098,1.9167555218497292,0.71580704505834736,0.77422132547292866,0.83087646420393146,-1.174794232293032,0.9538275843420998,-0.67436913196649395,-1.3853454941948875,0.055805141285993176,2.6971456652441992,-1.7222819680413231,-2.036694561882876,0.22020485456380995,-1.0017899626931175,-2.0363965386589991,1.9681576138297097,-0.60229984466638409,2.8106479292670263,0.7931694930354134,1.2149381881514565,-0.59038505498971783,-2.3249888772210108,-1.0659122819146141,-1.3062185401162132,0.43357135187182577,2.4989740496436132,-3.7645094746788965,-0.038051163597963733,0.098663741902448254,1.1280154829779641,3.7040762549201025,-1.1353292817315086,-2.2370138520440088,-0.73369005863275372,-2.0130548829277979,-2.1559827679833399,-0.45105413143243639,-1.5762316340645774,2.6990682726660742,1.4027789479056374,1.7726575976172463,0.37313892850000413,-0.86793092434015118,1.7184003239432351,1.8767610436240212,-1.1653086299141868,-1.5945712680062278,-0.19997534696664659,-0.27938840334024279,0.9043699746886269,-1.3924358243187889,-1.7441013211449607,-2.164802586480044,-1.8035307282647117,-1.8367646092614158,1.1526832824507729,0.50072960014734424,-2.2032118195733057,2.7361378317633642,-1.7908523434838279,0.80211066658888019,0.25911098177824171,-2.3312256688317285,0.96546807344350971,1.5409364348212258,3.214291298941709,1.1345819478789345,-0.99145928566064678,-3.8196928853234278,3.6591691618720068,-2.5635261887749659,3.3964278345862402,0.8544526642123238,-2.1815410012444483,2.2979336624899878,1.2083266025343911,2.6538922434607519,-1.666209256096743,-3.8914845341881739,-3.7873032445153223,1.6922328120032326,3.0861770754614843,0.4213397895852104,-0.360995268269442,-1.2482587451180442,1.9154033308783547,2.0755170231619848,-0.26055273954477159,0.32712042163405569,1.4042644148627297,0.71589305456075825,-1.821381842537783,1.0160376673499123,0.78435095603857197,-1.052843605919741,-2.2612905854424463,0.6890948658743874,-1.8348224515160545,2.9087946062842382,1.6430362110892311,-0.4968474263390526,2.6027874594489111,-1.3492400998314842,-1.486954843445681,-2.07944730465021,-1.1020439023217186,-0.54610196296777569,-2.2726106995781885,1.2273513322630898,-3.0372295731743799,3.5530161505499853,-2.1356568688591944,-1.7008445615014061,1.016341054991819,1.5856625681677834,-0.14174357597436754,0.88299956376943745,2.455823863104917,0.98261817748937763,0.75345029886160053,-1.5385767573555931,1.5969053154746071,-2.8063612336358057,3.5408041125098242,0.98550584371481098,-3.5016446465691553,-0.75427452270593487,-1.2737386578759178,-1.6466327065667137,-1.8502304906090721,-2.3419442528923975,-2.0458758229454981,-1.2706771249016746,1.9913510924139992,3.4627344256201757,-2.2016206139763819,-2.2152846211632715,3.0283591395178808,-0.47989234869088976,0.068220908001996594,-0.77350369636621319,0.50619247014913715,0.83226543124113239,-0.759559070511721,-2.1788525933464991,1.9045886641303078,-3.9743526334008203,2.6428641920844091,0.82426616008672871,1.0060130005637185,-0.90193072502221905,0.99577304180059589,2.2701818590918554,2.87701340969,1.1097865944663063,1.0397622233191506,-1.4801934117516502,2.5116467123785986,1.0542903190413491,-0.10410792176332323,-0.52546677534189068,-2.2278192395409571,1.8003981953421608,3.2558207159796728,-0.13142303173150865,1.5368673449316994,-1.7740826958855613,3.0596899634161963,3.1895594244757666,-0.17401996795739977,0.91778298671636738,1.6361664181509987,-0.73427704517450176,-2.2525081986626612,-2.2196486348351465,0.69169294293317951,-0.46725687925424425,1.1021707301894204,0.53705961461458362,0.62042188103590168,0.86326968129072346,-4.1374972218712793,-0.08763489667978136,-0.55257776920404278,0.70897960122022785,1.4694782143393532,-1.6909764165123924,1.7370013838568703,-1.2234360331734642,1.392500722960569,1.1404010897437111,0.70430269296560444,-0.77642956916894756,0.55308466608915485,-0.35568419639673082,-1.5766607875069603,1.8585914021292702,-3.3035679215630518,-2.3364601487359034,0.90753599460516132,-2.2550762051781641,-1.1180763596734031,0.65383696015272297,1.2952232008734719,-1.9782958382805809,-0.59248397295083843,2.2972430830756201,0.038324529484845715,0.091932917193509656,2.0057422762671484,-4.1635878438195215,-1.8778262490471824,1.3438335901061074,0.043047363118268567,-1.7005379552086815,1.8161207085410134,-0.69823590461816631,-1.9868114346703514,-0.68850151245202862,2.8571991568366064,0.96169736440572895,-2.2192685956200586,2.4049763327399267,0.58710421080980457,1.6121569519797341,-3.7493899220665918,1.4361596947470681,-2.0254648083886133,-1.0320638770302757,-2.194324767037295,-3.3233628625115381,1.1207342391768471,0.93353792484197773,-4.3238962048729883,-2.0157058591088282,1.3689778691092507,2.3818230276862158,-1.6327367181023582,-2.2361541146477686,1.2783063894072548,-0.34779039566125719,-1.6785416955193504,-1.3047206753930076,-4.0978777760704981,1.7616051083365456,1.1861673241415993,0.96773936803732075,0.19234318490419539,-0.61603239719476544,3.5063635950842871,-4.0356600636681543,-2.7837984914025293,-2.2865541333397852,-2.1630576008995996,0.47733135725650938,-0.85122517292108379,3.5315065031806006,1.2911687141219155,0.43814096058998259,2.8295335417548193,1.0183514600554482,-2.0716970318993555,0.074111575440503674,-0.1683719510277733,1.8081029301444069,2.813250506476499,-0.17830512468423693,2.2930901890555395,1.8301757221976296,-2.1124124879082666,-2.3127229565819727,2.3696720248023047,3.7532853728095068,3.6653802042761816,-2.2501683587273584,-1.7157409543236717,2.5517861491004004,1.3657154088774697,1.0044521933356301,-1.9490778798302635,-2.0694294327935205,-1.3766488188942894,1.0883080011168496,3.7152385359564795,0.24303577299509199,-2.3975520486077295,-2.0111916417321192,-2.1207371110161768,1.323900664404966,3.4216956740180029,-2.1676068658074366,0.2165401970902458,0.53535660560522236,-0.029214953823946399,-1.4250539893349632,1.3786654120245949,-2.1199062222680078,-2.290758168145083,2.2367086058417334,2.3664700632849707,1.4042710905829445,1.6668164377966896,-2.2967899197777735,-4.0652792805870996,-0.19649956171121447,-1.7053244466027244,-2.096262490197085,-0.27862081472482531,1.8389694338599221,-0.70852748100366436,0.39061276912037285,-1.4190649146279319,0.61508458311948933,2.6585242396155371,-2.3407025689324366,3.5099353438178076,3.1888248568335547,-1.7592449540337547,2.296513879851438,-1.2292689437111839,-0.55698255245294415,2.4151751642981543,0.8907671218672768,-0.10765579883661119,-1.8264146203240379,2.3196100836554541,-1.9832051152428611,-4.1977947110375391,-1.2108956927498802,-1.2360688800057396,-1.8238900059899315,-0.86720553581323467,-0.027806436463259143,-1.7001874798974022,-1.2176562899788841,2.3941752558508886,-0.45528093521203844,2.2259193306723608,-0.068795179768465442,-0.41647366230096666,1.3449152951994912,-0.54538110439386212,1.3633727675238625,0.85273441131506122,0.24904445763025435,0.6631188338557259,0.4339464550772682,-1.3287616128167137,2.2579960470953955,-1.4042799824913963,0.61381466145906605,2.3593933230200781,0.8688000386515633,1.4263145571509377,-1.6951468342980369,2.7577550059119238,0.17524067516718062,0.9498038535872475,-2.0003671998223291,0.18651787395868452,0.43843322451505812,-3.9814703816613184,0.57061597164068378,-1.5036745423516258,3.0048808699408545,-0.33383670990075914,1.7172023897925393,-1.6321361417016014,0.98652752693090595,1.9697740917960183,1.0880603438178078,-0.53754291479196392,2.773108208731748,-4.2355239743432032,-0.37801322881784288,0.72456821258459247,-2.0279355401238428,0.54893437977228321,3.1907698756018652,3.0268418436804785,3.457516396597959,1.4449412470618264,-3.340039288445376,0.84601234848890461,-1.4419619197091087,2.3569098358908667,-0.14701214973535387,1.4355934506217018,0.62639995868597187,0.99976345355901874,1.2342852001944558,1.2835021858969704,1.2228841429511086,-0.21482173149194567,3.613076413230039,-2.3255999440392481,-0.17167637292947618,-1.5193666571816429,-0.21886805240716783,0.57198853249941028,2.5018155222693457,3.2400831824103369,2.9130816107550634,-2.1386235112389551,-0.26648065988626329,-2.7126224393090235,-0.13236359302606432,-0.18778732959832994,0.67918309028539814,-0.97862473671045147,2.0716530924597754,-1.9102948064049705,-1.6672747487267479,-1.7135117406090721,-2.2741632813652979,-0.32925484125223009,-1.2433543557366356,0.36929347710032018,1.8232771998206154,-1.2759771699151023,1.1154466515341774,-0.021791195317171497,-1.1791127080162986,0.8878723030844704,3.6451568251410498,1.9975769167700783,0.7745423858920113,1.2915099507132546,-1.8756244534691795,-4.3823464268883692,-1.4591155404290184,-3.7586329335412012,-1.5040309781273826,-2.5591385716637598,-1.6513920182427391,1.5046544914999977,-2.0850282067498194,-2.1008479947289453,2.6287481432715429,1.1270150786200539,0.32470682095084341,-2.057024037285708,-1.2075527066430076,-1.065495407029055,0.13675721939001234,1.3079818731108681,-1.2754156941613182,2.884389365271665,1.3640479093352333,2.0701118355551733,-0.37930515949334948,2.5852379446784033,1.2134255414763466,2.5993244295874609,-2.2355978841027246,-1.3153759593209251,-1.8953039998253807,-0.45669290964212267,0.87915643508825458,-1.6264961117943748,-1.0798709744652732,1.6988180523673073,-0.94540134613122784,1.667353714064695,0.037134016112424451,-0.90237275306787335,1.2605692392149941,-1.1737389916619285,0.40754000674281271,1.4392054920950905,-0.45946708862390367,-3.0717862004479395,1.1325286274710671,-0.66270211879815899,2.3558253889838232,0.1166816001692787,-1.7870245331963523,3.0938043242255224,1.4199568873206154,-2.2672367448052393,3.5120024328986181,1.9821776991644875,-1.0933958644112571,-1.7200847024163231,-3.6352956647118555,1.8281238919058815,3.2434551363745703,1.7570126896658913,0.94751032646093525,0.94733711536321796,1.0536057596961037,-3.5108058804711328,1.2466590052405373,0.47824824060592802,-1.6976774090966209,1.6713567620078102,-1.3610468262871727,-0.77255121414270245,-1.1383841389855369,0.02872138674650343,2.4830815439978613,0.88447066600713886,1.9429345970908181,-1.0324172133645042,-2.3510797375878321,-1.4476848000725731,0.26201189513597639,1.1477381830969826,-1.4810302609642967,1.7048794871130959,-0.53395435754861675,1.6828380471030251,0.90038057620916523,-0.99898735229577862,1.2779807096282021,-3.4881890172204004,-1.5146830434044822,-0.72990480606164776,-0.610877429886721,-2.2288358563622461,-1.8078728074273094,2.216438139037229,-1.5956042165001854,1.2107753997603432,3.7306248789587988,1.7515104656973854,-2.2431216592034326,-3.7950709218224512,-0.27807972375955431,-1.5701052302559837,-2.0571282262047754,2.8631963377753271,-0.4825310463150963,1.6426313763419167,-2.0708632821282373,3.3254556303778662,-1.9241636151513084,1.9326098805228249,2.1696555262366308,-1.3984380120476707,-1.1418389434060081,0.19010824914369734,-0.1337219232758507,-2.1535916680535303,2.7292859202185644,-2.2689855450829493,2.4331793432990088,1.0194046741286293,-1.8206553811272606,-3.9941161030968653,-2.0084650868615137,-0.075243359251879138,0.55220734532270588,-0.75211945716943585,-1.5432904118737205,-1.80182484333124,-0.82482949440088116,0.86275687272939838,-3.5396340245446192,1.3238997703352944,0.044734383181668835,-3.2960760945519434,-2.0534053200921045,2.2898159867087378,3.2229990607062353,2.7280842905798925,3.2318439131537451,-1.2646129483422264,-1.4033933037957176,-0.47724065725412218,0.92000427301321186,3.077028000907041,1.6591003781119362,2.000695312575437,-2.0032043809136377,0.43237840588483961,2.5682856684485449,-0.60239753667917095,-2.0061273926934229,0.086906844929792004,-1.5733874196251854,-1.7488398904046043,-2.2866111153801905,-2.2330105656823145,3.6391958838263525,-2.0540738457879053,-1.4164207333764061,-0.025705700560472888,-1.9356620663842186,0.99586179311666645,1.7376130467215554,-2.3733580464562403,-2.0383117551049219,1.4584244137564675,0.66361799295339741,-2.2756264561852442,1.240804219798185,-2.1218195313652979,-0.42767701093759386,-1.2472914809426292,-1.4674115533074363,2.4409746771613134,-2.2123680466851221,-1.3827655667504295,1.845051730231382,-2.5346234196862207,-1.4120872372826561,-1.3125818127831443,-0.012733524485491199,0.95320072229299702,0.21816810424719008,1.9236166125098244,0.075430149392224866,-2.3801901692589746,-1.9588947648247703,-0.29265860263910143,1.6331224089423195,1.1292436962882058,0.88943287189397968,-2.2359147423943506,1.5138283615866677,1.9692984467307106,0.72607460077200092,0.69116958434972919,1.4489907866278664,-0.63467577640619122,1.1443618779936806,-1.4216475838860496,0.54873485322389759,-0.38111028616037218,1.5091299658576027,0.79618325288686909,0.56344146485719837,0.7448875253954903,-4.1484949940880762,-2.3450262898644434,0.51448547299299396,1.9984683638373391,3.2512380724707617,1.1803533678809182,0.071157509640790539,2.7110910063544287,0.73239692504797138,0.9550708180228249,0.3882182344729081,1.0160740857878701,-3.5063732022484766,-2.0848410481652246,3.2758783942023291,2.0168980007926001,1.0070734267989174,0.077136183337308484,3.4548844939032568,0.11523925717268141,1.8868381624976174,-1.9708857888421043,3.0285789614478125,2.9304322844306006,2.6455645209113134],\"text\":[\"Cell:CAGCCGAAGCGATATA
group.by:Ductal
color:Ductal\",\"Cell:AGTGTCATCGCCGTGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATGAAAAGTTGTAGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CACAGTACATCCGTGG
group.by:Beta
color:Beta\",\"Cell:CGGAGCTCATTGGGCC
group.by:Ductal
color:Ductal\",\"Cell:AGAGCTTGTGTGACCC
group.by:Ductal
color:Ductal\",\"Cell:GCTCTGTAGCGTGAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACCGTAACAAGGTTCT
group.by:Beta
color:Beta\",\"Cell:CCACTACAGGTGGGTT
group.by:Beta
color:Beta\",\"Cell:TGCGTGGGTCCCTTGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGAGTGTCTTCTCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCGTGGACACGAAGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GAACATCAGCAATATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCTACACAGTCGATT
group.by:Alpha
color:Alpha\",\"Cell:ACGGCCACACGTGAGA
group.by:Ductal
color:Ductal\",\"Cell:CTCGTACAGAGGTTAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTCTACAGATGCGAC
group.by:Beta
color:Beta\",\"Cell:CTCACACGTCACACGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AAAGCAACACGGTAAG
group.by:Ductal
color:Ductal\",\"Cell:CATCGGGCACGTTGGC
group.by:Epsilon
color:Epsilon\",\"Cell:ATCATCTGTGTTTGTG
group.by:Delta
color:Delta\",\"Cell:CAAGGCCCAAGAAAGG
group.by:Beta
color:Beta\",\"Cell:AGATCTGGTTCGGCAC
group.by:Epsilon
color:Epsilon\",\"Cell:CTCTGGTCAAGACACG
group.by:Beta
color:Beta\",\"Cell:TACAGTGTCCCTAACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGACAGATCAGCATGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACTCCACATATGGTC
group.by:Ductal
color:Ductal\",\"Cell:GTTCATTGTTCCAACA
group.by:Alpha
color:Alpha\",\"Cell:TAAGTGCCAATAGCAA
group.by:Beta
color:Beta\",\"Cell:TACTCGCTCTTCGGTC
group.by:Epsilon
color:Epsilon\",\"Cell:GCTGCTTTCCTCGCAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCTGGGTGTCTAGAGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCTCTCAGCGTGAGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGAGCACTCTAACTCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATCGTAAGTGCAAGC
group.by:Epsilon
color:Epsilon\",\"Cell:TGTCCCAGTCTCGTTC
group.by:Beta
color:Beta\",\"Cell:CTTGGCTCAGCCACCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGTCTGGTAAACCTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGGACTGTCTTGAGAC
group.by:Beta
color:Beta\",\"Cell:GGTGCGTTCTGGTATG
group.by:Beta
color:Beta\",\"Cell:TACCTTATCCGATATG
group.by:Beta
color:Beta\",\"Cell:ACGGGTCTCTATCGCC
group.by:Ductal
color:Ductal\",\"Cell:GTACGTACATCGATGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCGTAGATCTTTACGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAAGTAGAGAGTGAGA
group.by:Alpha
color:Alpha\",\"Cell:AGCGTATTCTGCTGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGACAAGTCATAACCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACATCAGTCCTTGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCAGCGACAGGCTGAA
group.by:Beta
color:Beta\",\"Cell:GGACAGAAGTGGAGAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GACTACAAGCGTGTCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGCAATTGTAGAGCTG
group.by:Beta
color:Beta\",\"Cell:GTTCTCGCAAGTCTAC
group.by:Alpha
color:Alpha\",\"Cell:CGAATGTTCTTCATGT
group.by:Beta
color:Beta\",\"Cell:CCGTGGACATTCCTGC
group.by:Beta
color:Beta\",\"Cell:CTAATGGAGCCGGTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGCGGTCGTCGAATCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTATTCTTCACTTACT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGTCCTAGGTGGGTT
group.by:Alpha
color:Alpha\",\"Cell:CGACTTCCACAACGTT
group.by:Beta
color:Beta\",\"Cell:AAACGGGTCCGCGCAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTAGTGACATTGAGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCCTAGAGAGTGACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCAGTTATCTTGAGAC
group.by:Ductal
color:Ductal\",\"Cell:CGAACATCAAGCGAGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGGAGATAGCGAAGGG
group.by:Beta
color:Beta\",\"Cell:CATCGGGAGGCCCTTG
group.by:Alpha
color:Alpha\",\"Cell:TGGACGCAGCTGCAAG
group.by:Alpha
color:Alpha\",\"Cell:CAGAATCCACGCATCG
group.by:Ductal
color:Ductal\",\"Cell:CTCGGAGGTTGGACCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGGACACTCTATCCTA
group.by:Beta
color:Beta\",\"Cell:CGTGTAATCATTATCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTGTAAGTTAAGATG
group.by:Alpha
color:Alpha\",\"Cell:ATTTCTGTCCCTGACT
group.by:Alpha
color:Alpha\",\"Cell:AGAGCGAGTTGGACCC
group.by:Ductal
color:Ductal\",\"Cell:CAGATCACAACCGCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGGCTAGCATTCCTCG
group.by:Beta
color:Beta\",\"Cell:CCACGGACAGATGAGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGGCGCAAGAAGATTC
group.by:Ductal
color:Ductal\",\"Cell:CATGACACAAAGTCAA
group.by:Alpha
color:Alpha\",\"Cell:AACGTTGTCAGTTAGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTGGTCTAGGTGATTA
group.by:Epsilon
color:Epsilon\",\"Cell:TCAGGATTCCAGTAGT
group.by:Epsilon
color:Epsilon\",\"Cell:CATTATCGTCATATCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCGCAACAGTGTACCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTGCATACAATAGCAA
group.by:Ductal
color:Ductal\",\"Cell:TTTACTGGTTCGTTGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTAGTCAGTCCGACGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCTACACGTTCTCATT
group.by:Delta
color:Delta\",\"Cell:AGCTCTCTCAACACGT
group.by:Ductal
color:Ductal\",\"Cell:CTAACTTGTAGGAGTC
group.by:Alpha
color:Alpha\",\"Cell:ACGAGCCGTGACTACT
group.by:Ductal
color:Ductal\",\"Cell:GTAGGCCGTTACCAGT
group.by:Beta
color:Beta\",\"Cell:TCTCATATCAGAGCTT
group.by:Beta
color:Beta\",\"Cell:GCTGGGTGTCATACTG
group.by:Beta
color:Beta\",\"Cell:GGGAATGTCGACCAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TAAGTGCTCCAAATGC
group.by:Beta
color:Beta\",\"Cell:TAAGTGCAGGGTTTCT
group.by:Ductal
color:Ductal\",\"Cell:CGGACTGAGGTAGCTG
group.by:Ductal
color:Ductal\",\"Cell:CAACCTCTCTCTGTCG
group.by:Alpha
color:Alpha\",\"Cell:CTGAAACGTTCCCTTG
group.by:Epsilon
color:Epsilon\",\"Cell:GTAGTCAGTACTCAAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGCCACCACCTATCC
group.by:Ductal
color:Ductal\",\"Cell:CAGAGAGGTACCGTTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTCTACAAGATCGATA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCACAAGCACCGAAAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCGGGACGTCATCGGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGCCAGAGGAACTGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATATGGCATGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:ATCATCTTCTGTCAAG
group.by:Ductal
color:Ductal\",\"Cell:CCGTTCACAGTAGAGC
group.by:Alpha
color:Alpha\",\"Cell:GTCAAGTGTGGTCCGT
group.by:Ductal
color:Ductal\",\"Cell:TTTGTCAGTTGTTTGG
group.by:Ductal
color:Ductal\",\"Cell:ATTATCCAGACCCACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACCACTCAATCTACG
group.by:Alpha
color:Alpha\",\"Cell:GCGCGATGTCCGAATT
group.by:Beta
color:Beta\",\"Cell:CATTATCTCTGAAAGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTAGGACAGCTAAGAT
group.by:Ductal
color:Ductal\",\"Cell:GCGCGATTCGCGTAGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTACATTCACCGTTGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCATTTGCATTGGCGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCAGCCCAGGAATGC
group.by:Ductal
color:Ductal\",\"Cell:GGGATGAGTCTGCGGT
group.by:Beta
color:Beta\",\"Cell:TGCGCAGTCTGCCAGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGCGTATTCTCGTATT
group.by:Delta
color:Delta\",\"Cell:GTCTCGTAGATCTGCT
group.by:Beta
color:Beta\",\"Cell:CAGAATCGTGTAAGTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGACTTTAGGTCATCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTGCATATCAGAGACG
group.by:Beta
color:Beta\",\"Cell:TGGCCAGCACGAAAGC
group.by:Ductal
color:Ductal\",\"Cell:TGGCGCACAATGTTGC
group.by:Ductal
color:Ductal\",\"Cell:CAGTAACGTCTGATCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGCGACAGATCACGG
group.by:Beta
color:Beta\",\"Cell:AAAGATGAGTGAACAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTTCTCTGTCAGAGGT
group.by:Epsilon
color:Epsilon\",\"Cell:ATTTCTGAGAAGATTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCTAATTCACCATAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGTGTCTTCTTGTCAT
group.by:Ductal
color:Ductal\",\"Cell:GCCTCTAAGCTAGTCT
group.by:Delta
color:Delta\",\"Cell:CCTAAAGTCATGCAAC
group.by:Ductal
color:Ductal\",\"Cell:AGGCCACAGCTGTCTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GAAATGACACATGACT
group.by:Ductal
color:Ductal\",\"Cell:ACTGAGTAGGCTAGGT
group.by:Ductal
color:Ductal\",\"Cell:GGCGTGTCAACTGCTA
group.by:Alpha
color:Alpha\",\"Cell:AACTCAGAGAGCTGCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGCTTCACAGATCGGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGCTTTCTGGTGTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTGTCTCATACTCTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTATCTGTCAGGACA
group.by:Beta
color:Beta\",\"Cell:CTGAAACTCGATAGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTTCTCGCAGCTGGCT
group.by:Ductal
color:Ductal\",\"Cell:CATATGGAGGCCCGTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGAACAGCCTCGTG
group.by:Ductal
color:Ductal\",\"Cell:CCTAGCTCAGGTGCCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCCTCCTAGACCCACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTAACTCGTCCGAACC
group.by:Ductal
color:Ductal\",\"Cell:GTGGGTCCATAAAGGT
group.by:Delta
color:Delta\",\"Cell:CTGAAACTCAAACCAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTTCTCGGTTTGTGTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACATCAGTCCGTTGTC
group.by:Alpha
color:Alpha\",\"Cell:ATCCACCTCCTTTCTC
group.by:Beta
color:Beta\",\"Cell:ACAGCCGAGCCAACAG
group.by:Alpha
color:Alpha\",\"Cell:AAGACCTAGTAGGCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AACTCTTCACTCGACG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCGTATCACGAGGTA
group.by:Alpha
color:Alpha\",\"Cell:GGACAGAAGGCCGAAT
group.by:Beta
color:Beta\",\"Cell:ACTGTCCCACGTAAGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCCACACCAGGCGATA
group.by:Alpha
color:Alpha\",\"Cell:CGTCACTCAGTATAAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACACCTGTCGCTTTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCTCGAGTCGCTTCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGGCTGGCAGTGAGTG
group.by:Epsilon
color:Epsilon\",\"Cell:GATGAAACAGGCTGAA
group.by:Alpha
color:Alpha\",\"Cell:TTCTTAGTCGCAGGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCCCGATGTAAGTGTA
group.by:Ductal
color:Ductal\",\"Cell:CTGAAACAGTATCGAA
group.by:Alpha
color:Alpha\",\"Cell:ACTATCTTCTGCTGTC
group.by:Beta
color:Beta\",\"Cell:GATCGCGAGCTGAACG
group.by:Ductal
color:Ductal\",\"Cell:CATGCCTAGTGGTAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GACCAATGTAAGAGAG
group.by:Alpha
color:Alpha\",\"Cell:CATCAGAGTTCGCTAA
group.by:Alpha
color:Alpha\",\"Cell:CCATTCGGTGCTAGCC
group.by:Alpha
color:Alpha\",\"Cell:CCACTACTCTTTAGTC
group.by:Alpha
color:Alpha\",\"Cell:AAACGGGGTGAAATCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACCGTAATCTATCCCG
group.by:Ductal
color:Ductal\",\"Cell:ACTTACTCAATACGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GAACGGATCACAACGT
group.by:Ductal
color:Ductal\",\"Cell:CGGTTAAGTCTAGCCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGATGTTGTTACGCGC
group.by:Alpha
color:Alpha\",\"Cell:CAAGAAACACTAGTAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGTTGGTGTCGCATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTGCTCGTCCTAGCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTCCATGTCTAACGT
group.by:Beta
color:Beta\",\"Cell:CAGCTAACAACACGCC
group.by:Ductal
color:Ductal\",\"Cell:CAGTAACCATACGCTA
group.by:Beta
color:Beta\",\"Cell:CTCGTACCAGCCAGAA
group.by:Alpha
color:Alpha\",\"Cell:ATTATCCGTATAAACG
group.by:Alpha
color:Alpha\",\"Cell:GTACTTTTCAGTTCGA
group.by:Epsilon
color:Epsilon\",\"Cell:AGTAGTCCACATGACT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGTGAGGTCTGTTGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCTCATAAGCAGATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATCACGATCAGGATCT
group.by:Beta
color:Beta\",\"Cell:AGCAGCCCAAGTCATC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TATTACCAGCTAGTCT
group.by:Beta
color:Beta\",\"Cell:GTGGGTCGTACTTCTT
group.by:Beta
color:Beta\",\"Cell:GTCCTCAAGTTCGATC
group.by:Alpha
color:Alpha\",\"Cell:GCCAAATGTAAACACA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTTACTGTTTGGGCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTTACTCACCGTTGG
group.by:Beta
color:Beta\",\"Cell:CAGAGAGAGGACCACA
group.by:Epsilon
color:Epsilon\",\"Cell:AAGACCTGTGGCTCCA
group.by:Epsilon
color:Epsilon\",\"Cell:AACTTTCCACAGTCGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGATCATCTCGATGA
group.by:Ductal
color:Ductal\",\"Cell:TGTTCCGGTCAGCTAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCGCCAAAGAGGTTAT
group.by:Ductal
color:Ductal\",\"Cell:CATGCCTTCGCACTCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTAACTGTCAGTGCAT
group.by:Ductal
color:Ductal\",\"Cell:CGGAGCTGTTACGGAG
group.by:Alpha
color:Alpha\",\"Cell:AGCAGCCGTCGCATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGCCAAGTCTAAGCCA
group.by:Beta
color:Beta\",\"Cell:ACTATCTTCATGTAGC
group.by:Beta
color:Beta\",\"Cell:ATGCGATGTTACTGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATGAAAAGACAGACC
group.by:Ductal
color:Ductal\",\"Cell:GTCAAGTAGTATCGAA
group.by:Alpha
color:Alpha\",\"Cell:TCAGGTACAGTCACTA
group.by:Alpha
color:Alpha\",\"Cell:TATCTCACATTGTGCA
group.by:Beta
color:Beta\",\"Cell:CGTAGCGAGACTGTAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGATGTGTCGCGGTT
group.by:Beta
color:Beta\",\"Cell:CTCTGGTTCCCAGGTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGATGTTAGTAAGTAC
group.by:Alpha
color:Alpha\",\"Cell:CAGAATCCACAAGCCC
group.by:Beta
color:Beta\",\"Cell:GTAACTGGTCACTGGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACTTTCGTGGTCCGT
group.by:Ductal
color:Ductal\",\"Cell:ACGCAGCCAATCCGAT
group.by:Alpha
color:Alpha\",\"Cell:TTTCCTCAGTGTCCCG
group.by:Beta
color:Beta\",\"Cell:TATTACCGTTGAGTTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTTTCATCAGAGCTT
group.by:Alpha
color:Alpha\",\"Cell:TAAGTGCTCGCCTGAG
group.by:Beta
color:Beta\",\"Cell:TCGTACCCATATACGC
group.by:Ductal
color:Ductal\",\"Cell:TGGTTCCGTTGATTCG
group.by:Ductal
color:Ductal\",\"Cell:AGAGCTTCATTCGACA
group.by:Epsilon
color:Epsilon\",\"Cell:GGTGTTACATGTTGAC
group.by:Beta
color:Beta\",\"Cell:CCTCTGACATCGGTTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCTACGCACTAAGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCGGAGGTGAAGGCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGTCAACAGACAAAT
group.by:Ductal
color:Ductal\",\"Cell:TCGAGGCAGTTAACGA
group.by:Alpha
color:Alpha\",\"Cell:CAAGTTGTCTAACTGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGAGTAGGGTATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTTTGCGGTACTTGAC
group.by:Ductal
color:Ductal\",\"Cell:AGAGCTTTCTTGAGGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCACATAAGCAATATG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGGAGATAGTGACATA
group.by:Beta
color:Beta\",\"Cell:TGTGGTACAGTCGATT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TAAGAGACAGTAGAGC
group.by:Beta
color:Beta\",\"Cell:CACATTTTCGAGGTAG
group.by:Beta
color:Beta\",\"Cell:AGACGTTCAATGGTCT
group.by:Beta
color:Beta\",\"Cell:GGAACTTGTCGAACAG
group.by:Ductal
color:Ductal\",\"Cell:TGAGCATGTTAAAGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTGTAGGTCCAAATGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GAGGTGATCTAGCACA
group.by:Ductal
color:Ductal\",\"Cell:CGTAGCGTCACTATTC
group.by:Ductal
color:Ductal\",\"Cell:AAACGGGCACTGTGTA
group.by:Ductal
color:Ductal\",\"Cell:TGCGCAGTCTCTTATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AACACGTTCGGAATCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTGATGGTCGACTGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTTCTGTCCGCGGTA
group.by:Ductal
color:Ductal\",\"Cell:CAGTAACAGCCACCTG
group.by:Beta
color:Beta\",\"Cell:ACTGATGAGTGCAAGC
group.by:Ductal
color:Ductal\",\"Cell:CTGCTGTGTTGTGGCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GAGTCCGCAATTGCTG
group.by:Ductal
color:Ductal\",\"Cell:TTTCCTCTCTGAAAGA
group.by:Ductal
color:Ductal\",\"Cell:CCTCAGTAGCGTAATA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTCATTTGTCTCAACA
group.by:Ductal
color:Ductal\",\"Cell:GACTAACCACTCGACG
group.by:Ductal
color:Ductal\",\"Cell:GGTGAAGAGCAGGTCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GAATAAGTCTGATACG
group.by:Ductal
color:Ductal\",\"Cell:GTGCGGTCACCGAATT
group.by:Alpha
color:Alpha\",\"Cell:CAGGTGCAGACTTGAA
group.by:Ductal
color:Ductal\",\"Cell:GAGGTGAAGCTACCTA
group.by:Ductal
color:Ductal\",\"Cell:CATTCGCGTGCAGACA
group.by:Beta
color:Beta\",\"Cell:ATGTGTGAGTTTGCGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCTATTGCAGTAAGCG
group.by:Beta
color:Beta\",\"Cell:TTGGCAATCGGATGGA
group.by:Alpha
color:Alpha\",\"Cell:CGTCAGGAGTCATCCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CACCACTTCAGCTTAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCCCTAGTATCGCAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGGGCTAGACTTGAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGGCGCAGTGTATGGG
group.by:Ductal
color:Ductal\",\"Cell:CCGTACTGTCAGAAGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATCGATAGAAAGTGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCGGGTTCCAGGGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTCTTCGTCCTACAGA
group.by:Ductal
color:Ductal\",\"Cell:AGGGATGTCGCATGGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCCCTACAATCACAC
group.by:Ductal
color:Ductal\",\"Cell:CCCATACTCGTGGACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACTAACCATGAGCGA
group.by:Alpha
color:Alpha\",\"Cell:TCACAAGAGCCACTAT
group.by:Ductal
color:Ductal\",\"Cell:GGCAATTTCACATGCA
group.by:Delta
color:Delta\",\"Cell:TGGTTCCAGGAATGGA
group.by:Ductal
color:Ductal\",\"Cell:TTCGGTCAGGGCATGT
group.by:Delta
color:Delta\",\"Cell:GCATGTAAGAATCTCC
group.by:Beta
color:Beta\",\"Cell:GTTACAGTCTAGAGTC
group.by:Beta
color:Beta\",\"Cell:GTTCGGGAGTCACGCC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GATCGCGTCTGGAGCC
group.by:Ductal
color:Ductal\",\"Cell:TGTGGTAAGAGGTTAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCGTACTGTTACTGAC
group.by:Ductal
color:Ductal\",\"Cell:TTATGCTTCGTTTAGG
group.by:Beta
color:Beta\",\"Cell:GCATGCGCAAATTGCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAACGACACCATCCT
group.by:Ductal
color:Ductal\",\"Cell:CCTCTGATCATGTCTT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTGAGCTCTTCTGGC
group.by:Alpha
color:Alpha\",\"Cell:CTCAGAATCTTGAGAC
group.by:Beta
color:Beta\",\"Cell:CGTCCATCATGGTAGG
group.by:Ductal
color:Ductal\",\"Cell:TTAGTTCCATGAGCGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCTTGATCAACACGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGCAGCAGAGGTACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATCATGGGTTCTCATT
group.by:Alpha
color:Alpha\",\"Cell:CTAGCCTGTGCGATAG
group.by:Ductal
color:Ductal\",\"Cell:GTGTGCGGTCTCCACT
group.by:Alpha
color:Alpha\",\"Cell:GCATGATCATGCATGT
group.by:Beta
color:Beta\",\"Cell:TACGGTATCCCATTTA
group.by:Beta
color:Beta\",\"Cell:CCTTCGAAGCTAGGCA
group.by:Beta
color:Beta\",\"Cell:AACTGGTGTCGAGTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACCAATGTACGAAAT
group.by:Ductal
color:Ductal\",\"Cell:GTATTCTTCAGGTAAA
group.by:Ductal
color:Ductal\",\"Cell:TACCTATGTAACGTTC
group.by:Ductal
color:Ductal\",\"Cell:TCACAAGCAACGATGG
group.by:Alpha
color:Alpha\",\"Cell:CCCAGTTTCAGCACAT
group.by:Beta
color:Beta\",\"Cell:TGCCAAACATGACATC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTAAGACGTACTCTCC
group.by:Beta
color:Beta\",\"Cell:CGATGGCTCAGTGTTG
group.by:Alpha
color:Alpha\",\"Cell:CCAGCGACAGCGATCC
group.by:Ductal
color:Ductal\",\"Cell:TGAGAGGAGCCAGGAT
group.by:Epsilon
color:Epsilon\",\"Cell:AGAGCGACACAACTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTTTGCGGTCGAATCT
group.by:Beta
color:Beta\",\"Cell:TTTGGTTTCCTTTCGG
group.by:Beta
color:Beta\",\"Cell:GCCTCTAAGTCCGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGATGATCTGTCCGT
group.by:Beta
color:Beta\",\"Cell:CGCTGGACATCCTAGA
group.by:Ductal
color:Ductal\",\"Cell:GCACATATCACGGTTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CATCCACCAGATGGGT
group.by:Alpha
color:Alpha\",\"Cell:TGCCCTATCATAAAGG
group.by:Alpha
color:Alpha\",\"Cell:ACTGTCCAGGTTCCTA
group.by:Ductal
color:Ductal\",\"Cell:GCTGCTTGTCACTTCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACAGAGCAGTCAGAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATCATCTTCAGTCCCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AATCGGTGTCACACGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TACGGATAGTTTAGGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTGTGCGCAGCGATCC
group.by:Beta
color:Beta\",\"Cell:CCACGGAGTCTTGATG
group.by:Ductal
color:Ductal\",\"Cell:GGCTCGACAGCTATTG
group.by:Beta
color:Beta\",\"Cell:AGATTGCCACCAGGCT
group.by:Ductal
color:Ductal\",\"Cell:AGTGTCACACCAGGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACCAGGGTACCTACA
group.by:Ductal
color:Ductal\",\"Cell:GGCCGATTCAGAGACG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCACCTATCTAAGCCA
group.by:Alpha
color:Alpha\",\"Cell:GACTGCGGTCGCCATG
group.by:Beta
color:Beta\",\"Cell:GAATGAACAGCCTTGG
group.by:Ductal
color:Ductal\",\"Cell:CGCTGGAAGGGCATGT
group.by:Ductal
color:Ductal\",\"Cell:CTAATGGCATGGTTGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGAGGATCAATCTCT
group.by:Beta
color:Beta\",\"Cell:AGTCTTTTCGTACGGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCCCAGAGGATTCGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCAATTCATCTCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTGCGGTAGTGAATTG
group.by:Beta
color:Beta\",\"Cell:TACCTATGTCCAACTA
group.by:Delta
color:Delta\",\"Cell:TACTTGTAGACAAAGG
group.by:Beta
color:Beta\",\"Cell:GTCCTCACACCACGTG
group.by:Beta
color:Beta\",\"Cell:TAAACCGCATTCCTCG
group.by:Ductal
color:Ductal\",\"Cell:AACACGTGTCGACTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCAGCTCAGGCTATCT
group.by:Epsilon
color:Epsilon\",\"Cell:CACAGTAGTTCCTCCA
group.by:Ductal
color:Ductal\",\"Cell:TCGCGAGCACACATGT
group.by:Ductal
color:Ductal\",\"Cell:ACGGCCACACGCTTTC
group.by:Ductal
color:Ductal\",\"Cell:AGATTGCCATTCCTGC
group.by:Beta
color:Beta\",\"Cell:CTCAGAATCAGGTTCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGAGGGACAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:TACGGTATCTTTCCTC
group.by:Beta
color:Beta\",\"Cell:GATCGCGAGCGTTGCC
group.by:Delta
color:Delta\",\"Cell:CAGCGACCACAGGAGT
group.by:Ductal
color:Ductal\",\"Cell:TCTTCGGTCTGCTTGC
group.by:Alpha
color:Alpha\",\"Cell:GTCACGGCATACTACG
group.by:Beta
color:Beta\",\"Cell:AAGGCAGTCCGAGCCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGACAGATCCTGCAGG
group.by:Ductal
color:Ductal\",\"Cell:GGCAATTGTCCATCCT
group.by:Alpha
color:Alpha\",\"Cell:AACTTTCCACTGCCAG
group.by:Ductal
color:Ductal\",\"Cell:ACCAGTAGTCATGCCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATCACGAGTGCACCAC
group.by:Beta
color:Beta\",\"Cell:AACACGTGTGACTCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTGAAGTTCTGCGGCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGCGACTCACCAGGTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGGACCTAGCTGCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AATCGGTCAAACAACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGGAGCTGTACATCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATGGCGAGAGTCTGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTGTAATCGTTGACA
group.by:Alpha
color:Alpha\",\"Cell:CGATCGGAGCTGCAAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCACCTAGTACGCGA
group.by:Ductal
color:Ductal\",\"Cell:AGTGTCACATAGTAAG
group.by:Delta
color:Delta\",\"Cell:GAACGGACAAGGTGTG
group.by:Ductal
color:Ductal\",\"Cell:TTGTAGGGTTACGGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGTGAAGGTGCAAC
group.by:Beta
color:Beta\",\"Cell:CTACACCCAGGGCATA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AAGCCGCGTTATCCGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAGCCGCTCTTGCATT
group.by:Alpha
color:Alpha\",\"Cell:AACTGGTTCGTCCAGG
group.by:Epsilon
color:Epsilon\",\"Cell:AAGTCTGGTCTCCATC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGAGTGTGTAAGTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGCTATCAGGTGATAT
group.by:Beta
color:Beta\",\"Cell:AACTCTTAGCTAACAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTGTGCGGTAGTACCT
group.by:Beta
color:Beta\",\"Cell:GGGTCTGCAGCAGTTT
group.by:Epsilon
color:Epsilon\",\"Cell:CGTAGGCCAACACCCG
group.by:Alpha
color:Alpha\",\"Cell:CGAGCACTCTACCTGC
group.by:Ductal
color:Ductal\",\"Cell:CATCGAAAGATGTTAG
group.by:Ductal
color:Ductal\",\"Cell:GCAATCACAGCTGCTG
group.by:Alpha
color:Alpha\",\"Cell:AACACGTAGTAATCCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATCTAGCATCACCCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCTCGACAGCTTCGG
group.by:Beta
color:Beta\",\"Cell:TGTGGTAGTTAGAACA
group.by:Beta
color:Beta\",\"Cell:GAGCAGAAGCCAGTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCGAGGGTAAGTAGT
group.by:Epsilon
color:Epsilon\",\"Cell:GGACAGAGTCAGCTAT
group.by:Alpha
color:Alpha\",\"Cell:ACTTTCAAGGATATAC
group.by:Ductal
color:Ductal\",\"Cell:GATCAGTGTATAATGG
group.by:Ductal
color:Ductal\",\"Cell:CTTCTCTCATGCGCAC
group.by:Alpha
color:Alpha\",\"Cell:AGCGTATCAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:GTACTCCGTAGCGATG
group.by:Beta
color:Beta\",\"Cell:CTGTGCTCAGCTCCGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCTTCGATCAAGAAGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTCTTCGAGCGTGAGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGCTGGACACGGTAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAACCAAAGCGTTCCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATCAGAAGTGGTAAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGAATGTAGTTCCACA
group.by:Ductal
color:Ductal\",\"Cell:GCTGCGACAATCGGTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTATGCTTCCAGTATG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTCTTAGTCGGCGCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCTTGATCTGACCTC
group.by:Ductal
color:Ductal\",\"Cell:CCGTACTGTTCCACTC
group.by:Ductal
color:Ductal\",\"Cell:TAAACCGAGGATGGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTTACCGCAAAGTCAA
group.by:Ductal
color:Ductal\",\"Cell:CGGTTAATCGTCTGAA
group.by:Ductal
color:Ductal\",\"Cell:CTCGTCATCGGTCTAA
group.by:Ductal
color:Ductal\",\"Cell:GTTAAGCTCCGCATAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTCAGGCAATCTGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGGACGCAGCGTCTAT
group.by:Beta
color:Beta\",\"Cell:TGGACGCGTATTCGTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCACGGAAGATCCTGT
group.by:Alpha
color:Alpha\",\"Cell:CTGAAGTTCTTTAGGG
group.by:Beta
color:Beta\",\"Cell:CAGTAACCATGCCTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGTAGTCAGCGTTCCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGAGCCCACCTTGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCGTGGAGGTTCCTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGTGTTTGTATATCCG
group.by:Alpha
color:Alpha\",\"Cell:ATCATCTAGTGATCGG
group.by:Ductal
color:Ductal\",\"Cell:GACGCGTAGACGCACA
group.by:Alpha
color:Alpha\",\"Cell:CCTCAGTGTGATAAGT
group.by:Delta
color:Delta\",\"Cell:AGATTGCCACAAGCCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACGTGCTCCGGCACA
group.by:Alpha
color:Alpha\",\"Cell:TGCGTGGTCTTTACGT
group.by:Beta
color:Beta\",\"Cell:CATCAGATCATCGCTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTTGGCTCATCCCACT
group.by:Beta
color:Beta\",\"Cell:AGCATACGTCGCGAAA
group.by:Epsilon
color:Epsilon\",\"Cell:CTTAACTGTCGGGTCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTTTCTATCAACGGCC
group.by:Beta
color:Beta\",\"Cell:GAGGTGAGTGACAAAT
group.by:Ductal
color:Ductal\",\"Cell:TCTTTCCGTTATGTGC
group.by:Ductal
color:Ductal\",\"Cell:CCCAGTTAGGTGCTAG
group.by:Ductal
color:Ductal\",\"Cell:GAATGAACAATCGAAA
group.by:Ductal
color:Ductal\",\"Cell:CCTACACAGATCCGAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GATGCTACAAGCGCTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTTACAGTCTTGAGAC
group.by:Beta
color:Beta\",\"Cell:AAGACCTAGACCTTTG
group.by:Alpha
color:Alpha\",\"Cell:GACTACACATATGAGA
group.by:Ductal
color:Ductal\",\"Cell:TGTGGTAAGTGGTCCC
group.by:Beta
color:Beta\",\"Cell:CGTTAGATCAGTCAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTGCTTCTCCAAACTG
group.by:Ductal
color:Ductal\",\"Cell:GATGAGGAGAAACCTA
group.by:Beta
color:Beta\",\"Cell:GAAATGATCTTCAACT
group.by:Beta
color:Beta\",\"Cell:GCTCCTAGTCGGGTCT
group.by:Ductal
color:Ductal\",\"Cell:ATCCACCTCATGCAAC
group.by:Alpha
color:Alpha\",\"Cell:CGACCTTCACACAGAG
group.by:Beta
color:Beta\",\"Cell:GCGCAGTGTACGCACC
group.by:Beta
color:Beta\",\"Cell:GCACTCTTCCGGCACA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTACTCCTCTCTTATG
group.by:Alpha
color:Alpha\",\"Cell:CACATAGTCATTGCGA
group.by:Beta
color:Beta\",\"Cell:CTGAAACGTATGGTTC
group.by:Delta
color:Delta\",\"Cell:CGTGAGCAGTCTCAAC
group.by:Ductal
color:Ductal\",\"Cell:CCTTTCTTCTTCGAGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTGAAACGTAGCGCAA
group.by:Beta
color:Beta\",\"Cell:TTGGAACGTCCGTTAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATTATCAGCTCCCAG
group.by:Delta
color:Delta\",\"Cell:CGGAGTCCATAACCTG
group.by:Alpha
color:Alpha\",\"Cell:GTGCAGCTCGTTTATC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGCCAGGTTCTGAAC
group.by:Ductal
color:Ductal\",\"Cell:CAACCTCAGCGTGAAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AACTGGTGTACCGTTA
group.by:Delta
color:Delta\",\"Cell:CGATTGAAGTTAGCGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGCGTGTCACCAGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGACGTCCAGTATCTG
group.by:Ductal
color:Ductal\",\"Cell:TTCGGTCAGGTCGGAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTAGGACAGGTCATCT
group.by:Alpha
color:Alpha\",\"Cell:CAAGGCCTCGTACCGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TAAGCGTCAATGCCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCAAACTTCGGAATCT
group.by:Alpha
color:Alpha\",\"Cell:TGACTAGCACGGTGTC
group.by:Ductal
color:Ductal\",\"Cell:GGGACCTGTTGGACCC
group.by:Epsilon
color:Epsilon\",\"Cell:CTCGAGGTCAACTCTT
group.by:Ductal
color:Ductal\",\"Cell:GAATGAATCATCGGAT
group.by:Beta
color:Beta\",\"Cell:TGGTTAGCAGTCGTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCTAATAGTTATCGC
group.by:Alpha
color:Alpha\",\"Cell:AACTCTTAGCTGCGAA
group.by:Ductal
color:Ductal\",\"Cell:GGGCACTTCACGAAGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTGTCTGTAGTGAAT
group.by:Ductal
color:Ductal\",\"Cell:GGGTTGCTCCCAGGTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATCCGAACACGGTAGA
group.by:Ductal
color:Ductal\",\"Cell:TTCTCAATCACTCCTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGATGTCCCTAACC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGTCTTTGTCTAAACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCGCGAGTCGACGGAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAATGCCAGACTAAGT
group.by:Beta
color:Beta\",\"Cell:TACGGGCAGATTACCC
group.by:Ductal
color:Ductal\",\"Cell:AACTCTTCATTTGCCC
group.by:Beta
color:Beta\",\"Cell:CAGCTGGTCGCCGTGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACATAGAGGGAAACA
group.by:Alpha
color:Alpha\",\"Cell:ACAGCCGCATCGTCGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCGCAGTGTCCTAGCG
group.by:Ductal
color:Ductal\",\"Cell:AAGGCAGCAGTACACT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGGTTCCTCAACCATG
group.by:Alpha
color:Alpha\",\"Cell:GTGTTAGAGTTTCCTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTTCTCTAGTACTTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACATTTGTATAGTAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTGCATAAGAATGTTG
group.by:Ductal
color:Ductal\",\"Cell:GGACATTAGAAACCAT
group.by:Ductal
color:Ductal\",\"Cell:TCTCTAAGTGGCAAAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGATACTCGCGCCAA
group.by:Alpha
color:Alpha\",\"Cell:GAATAAGCACGAAATA
group.by:Beta
color:Beta\",\"Cell:CATGACACATCCGCGA
group.by:Ductal
color:Ductal\",\"Cell:ACGGGTCAGGGTGTTG
group.by:Ductal
color:Ductal\",\"Cell:GATCAGTTCGGCGCAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ACTGTCCGTGCGATAG
group.by:Ductal
color:Ductal\",\"Cell:CGTTGGGGTTTAAGCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACTCAGTCTGGTTCC
group.by:Ductal
color:Ductal\",\"Cell:TAAGCGTAGATCGATA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTTCTGTCACAATGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGACCTGTCAGCTAT
group.by:Alpha
color:Alpha\",\"Cell:ATGCGATAGAAACGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TATGCCCTCTTCCTTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCACCTATCGGAAACG
group.by:Alpha
color:Alpha\",\"Cell:CGATGGCCAACTGGCC
group.by:Beta
color:Beta\",\"Cell:CAGCCGAGTAGCCTAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGAAAGTGGTGTAG
group.by:Alpha
color:Alpha\",\"Cell:TGCGGGTTCTCAAACG
group.by:Ductal
color:Ductal\",\"Cell:TACGGATTCCAAGTAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTTGCGCAGCAACGGT
group.by:Alpha
color:Alpha\",\"Cell:CCTACACCATTATCTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTGAAACTCTGTTTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCATGTCTCCGCATAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGCCGAAGTAGGTGC
group.by:Ductal
color:Ductal\",\"Cell:TGACGGCGTCAGGACA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGATGCACATGACT
group.by:Beta
color:Beta\",\"Cell:ATCATCTGTAGGACAC
group.by:Delta
color:Delta\",\"Cell:ATCTGCCGTCATATGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TACACGAAGATCCCAT
group.by:Alpha
color:Alpha\",\"Cell:CATCCACGTTACGACT
group.by:Beta
color:Beta\",\"Cell:AGATCTGCACCAGGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCAGCCGTCGAACAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTGCAGCAATCCAAC
group.by:Ductal
color:Ductal\",\"Cell:GGGCACTCAATGAAAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTGCTTCTCACGACTA
group.by:Beta
color:Beta\",\"Cell:GATCGTACAGGCGATA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGCGAAGAACAACT
group.by:Alpha
color:Alpha\",\"Cell:CTACACCCATCAGTCA
group.by:Beta
color:Beta\",\"Cell:AACACGTGTCGGCTCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGCTTCATCAGTTCGA
group.by:Ductal
color:Ductal\",\"Cell:ATAGACCAGTGATCGG
group.by:Alpha
color:Alpha\",\"Cell:GACACGCAGTATGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGGGTCCATGATCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTCTACTCAGTCCCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTATGCTCACTACAGT
group.by:Beta
color:Beta\",\"Cell:GATCAGTTCCCGGATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATCTAGGTGCCTTGG
group.by:Ductal
color:Ductal\",\"Cell:AAAGTAGGTCAGATAA
group.by:Beta
color:Beta\",\"Cell:CTCGTACGTTGGTTTG
group.by:Alpha
color:Alpha\",\"Cell:TTGGCAATCGAACGGA
group.by:Ductal
color:Ductal\",\"Cell:CATCGAAGTTACGCGC
group.by:Ductal
color:Ductal\",\"Cell:ACGCAGCGTCAACTGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTCAAGTCAAAGTGCG
group.by:Ductal
color:Ductal\",\"Cell:GAAGCAGGTCTAGAGG
group.by:Epsilon
color:Epsilon\",\"Cell:CCCAGTTGTGCGCTTG
group.by:Beta
color:Beta\",\"Cell:ATTCTACGTTTAGGAA
group.by:Beta
color:Beta\",\"Cell:GGGAATGCACATTTCT
group.by:Ductal
color:Ductal\",\"Cell:CCTTCGATCCTGCTTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAGCTAAAGAGCCCAA
group.by:Ductal
color:Ductal\",\"Cell:GTGCAGCGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:AACGTTGCATGGGACA
group.by:Ductal
color:Ductal\",\"Cell:TGTGTTTTCATTCACT
group.by:Alpha
color:Alpha\",\"Cell:GATGCTATCCCTCTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCGCGAGTCAACGCTA
group.by:Ductal
color:Ductal\",\"Cell:TTAACTCCACGCCAGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTGCGGTTCTGATTCT
group.by:Beta
color:Beta\",\"Cell:GCTGGGTCACGAGGTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCTATTGGTCTAGCCG
group.by:Beta
color:Beta\",\"Cell:TCACGAACAGGCGATA
group.by:Alpha
color:Alpha\",\"Cell:CGAACATTCACAAACC
group.by:Ductal
color:Ductal\",\"Cell:TCTATTGTCACATAGC
group.by:Ductal
color:Ductal\",\"Cell:ACTTTCAAGACACTAA
group.by:Alpha
color:Alpha\",\"Cell:GCGAGAAGTGGGTATG
group.by:Alpha
color:Alpha\",\"Cell:TTCTCAAAGTACGCGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGAGGTCTGTTGAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACATACGAGCTATGCT
group.by:Alpha
color:Alpha\",\"Cell:ACGATACAGTCATCCA
group.by:Epsilon
color:Epsilon\",\"Cell:ACGCAGCGTTCATGGT
group.by:Epsilon
color:Epsilon\",\"Cell:TTAACTCCACGAGAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGGCTAGAGGCACATG
group.by:Beta
color:Beta\",\"Cell:TGAGCATTCGGGAGTA
group.by:Ductal
color:Ductal\",\"Cell:CTCGAAATCGCAAACT
group.by:Alpha
color:Alpha\",\"Cell:TTAGGCAGTTAAGAAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTGTAGGCATACTCTT
group.by:Ductal
color:Ductal\",\"Cell:GTAACGTGTCACTGGC
group.by:Ductal
color:Ductal\",\"Cell:AATCGGTCATATGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGTGCGTGTCCGAGTC
group.by:Ductal
color:Ductal\",\"Cell:AACACGTTCCGCGCAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCTTCCCCAAAGTGCG
group.by:Ductal
color:Ductal\",\"Cell:GTAACTGAGCCGGTAA
group.by:Beta
color:Beta\",\"Cell:AGCATACCAATGCCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATCAAGGTGGTCTCG
group.by:Beta
color:Beta\",\"Cell:AGTCTTTGTCTCGTTC
group.by:Alpha
color:Alpha\",\"Cell:CTGATAGAGCTCAACT
group.by:Ductal
color:Ductal\",\"Cell:TCTTTCCTCGTCTGCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCTTCGATCTCCAACC
group.by:Beta
color:Beta\",\"Cell:GAGGTGAGTCCGAGTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTGTAACATGGTCTA
group.by:Beta
color:Beta\",\"Cell:GTTCATTAGGGTCTCC
group.by:Ductal
color:Ductal\",\"Cell:GCGACCATCACCAGGC
group.by:Alpha
color:Alpha\",\"Cell:GTACTTTCATGGTCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAGCAAAGCGATGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCACAAGTCTGGTTCC
group.by:Alpha
color:Alpha\",\"Cell:TAGACCATCTTATCTG
group.by:Alpha
color:Alpha\",\"Cell:AGACGTTAGCCGATTT
group.by:Alpha
color:Alpha\",\"Cell:GAACCTACAGCGATCC
group.by:Alpha
color:Alpha\",\"Cell:CCAATCCAGAGTAAGG
group.by:Ductal
color:Ductal\",\"Cell:AAACGGGGTACAGTTC
group.by:Beta
color:Beta\",\"Cell:CAGGTGCGTACAAGTA
group.by:Beta
color:Beta\",\"Cell:GCTCCTATCTCACATT
group.by:Ductal
color:Ductal\",\"Cell:TATCAGGCACCAGTTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCTACCCATAAGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATTCAGAGTACGTTC
group.by:Alpha
color:Alpha\",\"Cell:CGGACTGCATCCCATC
group.by:Beta
color:Beta\",\"Cell:GCGCCAACACCTCGGA
group.by:Beta
color:Beta\",\"Cell:AGGTCATTCTGCGTAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTACCCAGTCAAACTC
group.by:Ductal
color:Ductal\",\"Cell:TGGCCAGAGCTACCTA
group.by:Ductal
color:Ductal\",\"Cell:TGTCCCACACGGTAGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATGTGTGAGGAATTAC
group.by:Epsilon
color:Epsilon\",\"Cell:TACAGTGAGCGTTTAC
group.by:Epsilon
color:Epsilon\",\"Cell:CGATTGAAGTCTTGCA
group.by:Ductal
color:Ductal\",\"Cell:TTCGGTCGTCACAAGG
group.by:Ductal
color:Ductal\",\"Cell:GTCTCGTCACGTGAGA
group.by:Ductal
color:Ductal\",\"Cell:CTTCTCTCAGCATACT
group.by:Beta
color:Beta\",\"Cell:GCTTGAACATTTGCTT
group.by:Alpha
color:Alpha\",\"Cell:AGAGCTTGTTAAAGAC
group.by:Ductal
color:Ductal\",\"Cell:GCTCTGTTCGCTTAGA
group.by:Ductal
color:Ductal\",\"Cell:GATCAGTAGGTTCCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTACTTTAGATATGCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATGTGTGTCAAAGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAGATGGTAGATTAG
group.by:Beta
color:Beta\",\"Cell:TGTCCCAAGTTTAGGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTGATCCTCAGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:CTAAGACTCACTCCTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACAGTATCTTAGAGC
group.by:Ductal
color:Ductal\",\"Cell:CACACCTCATTGTGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTAGGCAGTAGCGTAG
group.by:Ductal
color:Ductal\",\"Cell:ACTGAACAGTACATGA
group.by:Ductal
color:Ductal\",\"Cell:TATTACCAGATGGGTC
group.by:Alpha
color:Alpha\",\"Cell:GGAAAGCGTACGCACC
group.by:Ductal
color:Ductal\",\"Cell:GGGCATCCATTTCAGG
group.by:Alpha
color:Alpha\",\"Cell:CCCTCCTGTCTAACGT
group.by:Ductal
color:Ductal\",\"Cell:TTAGGCAGTGTGAATA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCGGTAACAGGGTACA
group.by:Alpha
color:Alpha\",\"Cell:AGGGAGTCACCGAATT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTGGGTCGTAGGAGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GAACGGAAGACGCTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGCTTGTCTTCAAG
group.by:Ductal
color:Ductal\",\"Cell:ATAAGAGTCCACGTTC
group.by:Ductal
color:Ductal\",\"Cell:GATCGTAAGTAGGTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCGTGGAGGTAAACT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CACCACTGTCGGCTCA
group.by:Ductal
color:Ductal\",\"Cell:ACGAGCCCACTCTGTC
group.by:Ductal
color:Ductal\",\"Cell:GCATGTATCACGATGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTAGGACAGATGGGTC
group.by:Alpha
color:Alpha\",\"Cell:CGCGTTTGTATTACCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGCTCAGGTGTTAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGCAGCATTCTCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACAGTATCAGAGGTG
group.by:Ductal
color:Ductal\",\"Cell:TTCGAAGTCAACGCTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGGACGCAGATTACCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTGAACGGTGATGCCC
group.by:Ductal
color:Ductal\",\"Cell:ATCATGGTCCAGAGGA
group.by:Ductal
color:Ductal\",\"Cell:AGCTTGACAGTAAGAT
group.by:Ductal
color:Ductal\",\"Cell:CATCGAAGTAGCGTCC
group.by:Beta
color:Beta\",\"Cell:TGGACGCTCTTGTTTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGAGTGGGTCACCTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTCAGGCAAACGCGA
group.by:Alpha
color:Alpha\",\"Cell:CGTCACTGTCAGGACA
group.by:Ductal
color:Ductal\",\"Cell:GCGACCACACGTTGGC
group.by:Alpha
color:Alpha\",\"Cell:CCATGTCGTTTGCATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCCAAAAGCGCTTAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACTCAGAGGTAGCCA
group.by:Alpha
color:Alpha\",\"Cell:ACAGCCGAGAGAACAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGGAGCTGTTCTGAAC
group.by:Ductal
color:Ductal\",\"Cell:CAACTAGAGCTTCGCG
group.by:Ductal
color:Ductal\",\"Cell:CGGACTGCAGCCAATT
group.by:Beta
color:Beta\",\"Cell:GACCAATAGCCGGTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGACGTCGTCAGAAGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGTCCGAGTTACCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGAAAGCGTCTTGATG
group.by:Ductal
color:Ductal\",\"Cell:CCGGGATGTACCGCTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CATCCACAGTCACGCC
group.by:Ductal
color:Ductal\",\"Cell:CGCTATCCAGGCAGTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAGGTACACTGTCGG
group.by:Ductal
color:Ductal\",\"Cell:GGCGTGTTCTCGTATT
group.by:Beta
color:Beta\",\"Cell:CGGACGTAGACAGACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGTTGGTTCACATAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTGGGTCGTCCAGTAT
group.by:Alpha
color:Alpha\",\"Cell:TATGCCCAGGGTATCG
group.by:Beta
color:Beta\",\"Cell:GGGCATCCATGACATC
group.by:Ductal
color:Ductal\",\"Cell:AGAGTGGCACCTCGGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACCCACTTCTGAGGGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TATTACCTCGTTGCCT
group.by:Alpha
color:Alpha\",\"Cell:ACGATGTTCGCAGGCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGACAACTCGCACTCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACGCGTCATTTCAGG
group.by:Ductal
color:Ductal\",\"Cell:CATATGGTCAACACAC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGTGGGAGTGGTCCGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ATTGGTGTCCAGTATG
group.by:Ductal
color:Ductal\",\"Cell:GATGCTAAGCGATAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGCACTTCTAACTGG
group.by:Ductal
color:Ductal\",\"Cell:TTCTCAACAGTTTACG
group.by:Ductal
color:Ductal\",\"Cell:TCACAAGAGCATGGCA
group.by:Alpha
color:Alpha\",\"Cell:GGAATAACACGACGAA
group.by:Ductal
color:Ductal\",\"Cell:GGGAGATGTTAAAGAC
group.by:Epsilon
color:Epsilon\",\"Cell:AACTTTCGTGACCAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGAGAAGCACTTACGA
group.by:Beta
color:Beta\",\"Cell:AACTCCCAGTACGACG
group.by:Beta
color:Beta\",\"Cell:CGTTAGAAGTATCTCG
group.by:Ductal
color:Ductal\",\"Cell:CCTATTACAAACGTGG
group.by:Ductal
color:Ductal\",\"Cell:GCTGCTTAGATCTGCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCATTCGCAAGCCATT
group.by:Beta
color:Beta\",\"Cell:GTATCTTGTACTCAAC
group.by:Alpha
color:Alpha\",\"Cell:TGCTACCCAGGGCATA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGAACTTAGGTTACCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGATTGCAGCTAGTCT
group.by:Ductal
color:Ductal\",\"Cell:TTAGGACGTTCAGTAC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGGCGCATCACATAGC
group.by:Beta
color:Beta\",\"Cell:CTTTGCGAGGAATGGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ATTATCCCAACTGCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGGCCACCAACTGCGC
group.by:Alpha
color:Alpha\",\"Cell:AAACGGGCAAAGAATC
group.by:Beta
color:Beta\",\"Cell:AGTCTTTAGTCTCGGC
group.by:Alpha
color:Alpha\",\"Cell:TCTGGAAGTCATCGGC
group.by:Beta
color:Beta\",\"Cell:AAATGCCCACCAACCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATTCGCTCGCTTGTC
group.by:Alpha
color:Alpha\",\"Cell:GGTGTTACACCTCGGA
group.by:Epsilon
color:Epsilon\",\"Cell:CTCGAGGCAAGTCTGT
group.by:Alpha
color:Alpha\",\"Cell:CGGACTGTCGGACAAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACCAGTAGTTCGTTGA
group.by:Beta
color:Beta\",\"Cell:CGTCACTCATAGTAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TTTGGTTCAAATTGCC
group.by:Beta
color:Beta\",\"Cell:ATTGGTGGTACTTGAC
group.by:Ductal
color:Ductal\",\"Cell:GCCTCTAAGAGTTGGC
group.by:Beta
color:Beta\",\"Cell:CGGCTAGGTAACGACG
group.by:Beta
color:Beta\",\"Cell:AAAGATGAGTCATGCT
group.by:Beta
color:Beta\",\"Cell:GTACTCCCACGTCTCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TTGAACGAGGAATCGC
group.by:Alpha
color:Alpha\",\"Cell:TGAGCCGTCGATAGAA
group.by:Beta
color:Beta\",\"Cell:CTCTAATTCAGCGACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TATGCCCAGAACAATC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACCATGGTTGAACTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGCATAGTAATAGCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGAGTTCCTCAATT
group.by:Beta
color:Beta\",\"Cell:CTCAGAATCTGGCGAC
group.by:Ductal
color:Ductal\",\"Cell:ATCACGATCACGGTTA
group.by:Beta
color:Beta\",\"Cell:GAGCAGAGTTTGCATG
group.by:Beta
color:Beta\",\"Cell:TGCACCTAGATAGTCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGCCGAAGTGACTCT
group.by:Ductal
color:Ductal\",\"Cell:GAATGAATCTGGTATG
group.by:Ductal
color:Ductal\",\"Cell:AGCTCCTAGTACACCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CATGCCTAGCGATGAC
group.by:Ductal
color:Ductal\",\"Cell:TCCACACTCACGATGT
group.by:Beta
color:Beta\",\"Cell:TCAGATGCACGACGAA
group.by:Delta
color:Delta\",\"Cell:CAGCTGGGTCTAACGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCAGAATCAACACTG
group.by:Ductal
color:Ductal\",\"Cell:CTTAGGACATCTATGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGAGCGAAGTAGATGT
group.by:Ductal
color:Ductal\",\"Cell:ATCTACTGTGAACCTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGATGTAGTGGTACAG
group.by:Beta
color:Beta\",\"Cell:CTAGCCTGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:TCTGAGATCTGAGTGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AACTGGTTCGTGACAT
group.by:Ductal
color:Ductal\",\"Cell:AGATTGCTCCATGAGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAGCTAAGTACCGAGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTGAGTGTTTCGCTC
group.by:Ductal
color:Ductal\",\"Cell:AGAGCGATCTCTTGAT
group.by:Ductal
color:Ductal\",\"Cell:GAAGCAGTCAAGGCTT
group.by:Ductal
color:Ductal\",\"Cell:GTCGTAAAGGTGATTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACACTCAGGCGCTCT
group.by:Ductal
color:Ductal\",\"Cell:TGGGAAGGTCATGCAT
group.by:Beta
color:Beta\",\"Cell:CGCGGTACATTAGGCT
group.by:Alpha
color:Alpha\",\"Cell:GAATGAAAGAATGTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATGCCTGTTCGTCTC
group.by:Beta
color:Beta\",\"Cell:CTGGTCTTCGTTACAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCTCTAAAGCTGGAAC
group.by:Beta
color:Beta\",\"Cell:CGGTTAAAGTAGCGGT
group.by:Delta
color:Delta\",\"Cell:GAACGGAAGGAGCGAG
group.by:Beta
color:Beta\",\"Cell:CCTTACGCAAGGTGTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGGCCACCACGAAGCA
group.by:Epsilon
color:Epsilon\",\"Cell:CAACCTCGTCTAAACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCGGTCGTACCGAGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGTCATCTTCTGGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGCGTGGCAGTATAAG
group.by:Alpha
color:Alpha\",\"Cell:GGCCGATGTCAAACTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCTACAGTGTTGAGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AAAGTAGAGCGCCTTG
group.by:Beta
color:Beta\",\"Cell:GATCGATCAGTCGATT
group.by:Alpha
color:Alpha\",\"Cell:TTGGCAACATCATCCC
group.by:Epsilon
color:Epsilon\",\"Cell:TTTATGCTCCATTCTA
group.by:Ductal
color:Ductal\",\"Cell:AACTTTCAGGCATTGG
group.by:Beta
color:Beta\",\"Cell:GCCTCTAGTGACTACT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGGGTCAGATGGCGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TACGGTAGTGTGCCTG
group.by:Beta
color:Beta\",\"Cell:ACTGCTCAGATATGCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGCGTGTTCGTGGGAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAGCCGCAGGAGTTGC
group.by:Beta
color:Beta\",\"Cell:CTGAAACAGGAGTAGA
group.by:Alpha
color:Alpha\",\"Cell:CATGGCGAGCCCTAAT
group.by:Beta
color:Beta\",\"Cell:ACATGGTCAAGGACTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGCGTGTGTCCGACGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GACGTGCTCCTCTAGC
group.by:Ductal
color:Ductal\",\"Cell:TTAACTCCAAAGAATC
group.by:Ductal
color:Ductal\",\"Cell:GCTCTGTAGCCACCTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATGTGTGCATGGGACA
group.by:Alpha
color:Alpha\",\"Cell:CGTGAGCTCACAGGCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTGAACGTCATCGATG
group.by:Beta
color:Beta\",\"Cell:AAGACCTAGGTGTGGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAGGTACACGGCCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTGTAATCCATGCTC
group.by:Ductal
color:Ductal\",\"Cell:ACTGATGCATCAGTAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGATGAAGGGCATGT
group.by:Alpha
color:Alpha\",\"Cell:CTCGTACGTTCCGTCT
group.by:Ductal
color:Ductal\",\"Cell:ACGAGGACATGGTTGT
group.by:Alpha
color:Alpha\",\"Cell:ATCTGCCGTCAGAAGC
group.by:Alpha
color:Alpha\",\"Cell:CGTTCTGAGAGCAATT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACACAACACACTGCG
group.by:Ductal
color:Ductal\",\"Cell:TAGGCATTCGTTGCCT
group.by:Beta
color:Beta\",\"Cell:TCTCTAATCAAAGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACACCCTGTCAGATAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGATCTGTCGATCCCT
group.by:Beta
color:Beta\",\"Cell:TCTGAGATCTTGCAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGACTAGCAAAGGTGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TAGAGCTTCTCGCTTG
group.by:Alpha
color:Alpha\",\"Cell:CTACGTCAGTCTCGGC
group.by:Beta
color:Beta\",\"Cell:CATCCACTCTTCTGGC
group.by:Ductal
color:Ductal\",\"Cell:TCTCATACAGATCTGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CACACCTCACTGCCAG
group.by:Alpha
color:Alpha\",\"Cell:CTCGTACCAATGGATA
group.by:Ductal
color:Ductal\",\"Cell:ACACCAAAGTAGGCCA
group.by:Beta
color:Beta\",\"Cell:TACACGAGTGCAACTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTGCGAAGTATTGGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGACGTTTCGAGCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGAGAGGTGTGAATA
group.by:Epsilon
color:Epsilon\",\"Cell:GCACTCTGTCTGCAAT
group.by:Beta
color:Beta\",\"Cell:TGTGGTACAAGACGTG
group.by:Ductal
color:Ductal\",\"Cell:AGGCCGTCACGACGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TATGCCCTCTTACCTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AATCGGTCATGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:AGTCTTTCACGGACAA
group.by:Alpha
color:Alpha\",\"Cell:GTCGGGTGTGCAACTT
group.by:Alpha
color:Alpha\",\"Cell:TCTGAGATCGTAGGTT
group.by:Ductal
color:Ductal\",\"Cell:CGTCTACGTTTCCACC
group.by:Beta
color:Beta\",\"Cell:CCTAGCTCAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:AGCTCTCAGACATAAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCGAGGAGTGGAGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTGATAGTCGGCTACG
group.by:Ductal
color:Ductal\",\"Cell:TTGTAGGGTTGTTTGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGAGCACGTCCATCCT
group.by:Ductal
color:Ductal\",\"Cell:CATGACAGTCATGCAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCGGAGAGAATGTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GACCAATAGAATGTGT
group.by:Beta
color:Beta\",\"Cell:CAGCGACCATATGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCTGCTGTCCGTCAG
group.by:Ductal
color:Ductal\",\"Cell:TCAGATGCACTCGACG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TATCAGGGTCGAATCT
group.by:Ductal
color:Ductal\",\"Cell:GGGAATGGTCGGCTCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TAGTTGGAGTCAAGCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TACCTATTCGTTACGA
group.by:Beta
color:Beta\",\"Cell:CGTCACTCAAAGGTGC
group.by:Ductal
color:Ductal\",\"Cell:TGAGGGAAGCCGGTAA
group.by:Beta
color:Beta\",\"Cell:CGTGTCTTCCTTTCGG
group.by:Ductal
color:Ductal\",\"Cell:TGATTTCAGTGGAGTC
group.by:Beta
color:Beta\",\"Cell:CTAACTTAGATCACGG
group.by:Beta
color:Beta\",\"Cell:CATCAGAGTCCGAATT
group.by:Ductal
color:Ductal\",\"Cell:GAAATGATCGTCCGTT
group.by:Alpha
color:Alpha\",\"Cell:TGCGGGTTCCACTCCA
group.by:Epsilon
color:Epsilon\",\"Cell:GTTCGGGAGGCAATTA
group.by:Alpha
color:Alpha\",\"Cell:GCGCCAATCGGACAAG
group.by:Ductal
color:Ductal\",\"Cell:AGTGGGATCAACTCTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGACTTCGTTGATTCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATCAGTGTAACGACG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGAGCCGTCTCTGAGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTTGCGCTCTTCCTTC
group.by:Epsilon
color:Epsilon\",\"Cell:ACTGATGGTTCCTCCA
group.by:Alpha
color:Alpha\",\"Cell:AAGGAGCAGTACATGA
group.by:Alpha
color:Alpha\",\"Cell:CAGCTAAAGCGCTTAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TACTTACGTGTGGCTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATGCGATTCGCGTAGC
group.by:Alpha
color:Alpha\",\"Cell:ATTGGACAGTCAAGGC
group.by:Ductal
color:Ductal\",\"Cell:ACGCCAGTCCGCTGTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCGGGTAGACGCACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATGAGGGGTTCTGGTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGACCTTAGCTGCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTAACGTGTGCCTGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTCTGTAGCTGAACG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTATTCTAGGTGCTTT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCTGGAATCGGTGTCG
group.by:Ductal
color:Ductal\",\"Cell:GACGTTAAGACGCAAC
group.by:Ductal
color:Ductal\",\"Cell:AGGCCGTAGAGGACGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ATGAGGGCAAGGTTTC
group.by:Beta
color:Beta\",\"Cell:GTGCGGTCAAAGCAAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATCGGGTCATTTGGG
group.by:Alpha
color:Alpha\",\"Cell:ACATACGGTAAACACA
group.by:Beta
color:Beta\",\"Cell:CTGCTGTGTTATCACG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TAGAGCTAGTGCCATT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCACGGAGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:CCATTCGCATGAAGTA
group.by:Ductal
color:Ductal\",\"Cell:CATTCGCTCTGCTGCT
group.by:Alpha
color:Alpha\",\"Cell:ACGATGTTCTGCTGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCGCAGTCACCATCCT
group.by:Ductal
color:Ductal\",\"Cell:TAGTTGGGTACCGTAT
group.by:Ductal
color:Ductal\",\"Cell:GCGCAACCAACACCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCAGCGAGTACCGTAT
group.by:Alpha
color:Alpha\",\"Cell:AGCGTATCATCTCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AATCGGTTCCAAACTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGCAGCCATTCTCAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GAATGAATCCTGTAGA
group.by:Beta
color:Beta\",\"Cell:GGAAAGCTCTCGGACG
group.by:Ductal
color:Ductal\",\"Cell:ACTGATGGTCCGACGT
group.by:Beta
color:Beta\",\"Cell:GTAACGTCAGCCTATA
group.by:Beta
color:Beta\",\"Cell:GGGAGATAGCGTTCCG
group.by:Beta
color:Beta\",\"Cell:TACGGATTCTAACTCT
group.by:Beta
color:Beta\",\"Cell:GAAATGACATCTACGA
group.by:Alpha
color:Alpha\",\"Cell:GTGTGCGTCTCTGAGA
group.by:Ductal
color:Ductal\",\"Cell:TCTCATAGTTACCAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGTCAACACGGTGTC
group.by:Ductal
color:Ductal\",\"Cell:ACTGATGTCTAGAGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGTATTCCAATGACCT
group.by:Ductal
color:Ductal\",\"Cell:AGGGAGTAGCTAGCCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCACTACAGAGCTGGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGCAATTTCCGAATGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATCGTAGTCCTAGCG
group.by:Ductal
color:Ductal\",\"Cell:TGAGCATCAAGCCGCT
group.by:Alpha
color:Alpha\",\"Cell:AACTGGTGTACAGTGG
group.by:Ductal
color:Ductal\",\"Cell:TGTGTTTAGCAGGCTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCACTACGTTAAGAAC
group.by:Alpha
color:Alpha\",\"Cell:GGAAAGCAGGCATGGT
group.by:Beta
color:Beta\",\"Cell:ACAGCTATCGAGCCCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCGAAAGTAAAGTCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TAAACCGAGTCGTACT
group.by:Ductal
color:Ductal\",\"Cell:CTCGGAGTCATCGCTC
group.by:Beta
color:Beta\",\"Cell:CACCACTCACGAAATA
group.by:Alpha
color:Alpha\",\"Cell:CGTAGGCTCGCGCCAA
group.by:Ductal
color:Ductal\",\"Cell:TCGCGTTTCTCTGCTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGACAAGTCCGCGGTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGTTCTGAGCCCAGCT
group.by:Beta
color:Beta\",\"Cell:TCACGAATCCTATGTT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ACGCAGCGTGGCTCCA
group.by:Beta
color:Beta\",\"Cell:ACAGCTATCAAGGCTT
group.by:Alpha
color:Alpha\",\"Cell:ATAACGCAGCGTGAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATTCTACTCAGGTAAA
group.by:Ductal
color:Ductal\",\"Cell:CTGATCCCAAGCGTAG
group.by:Ductal
color:Ductal\",\"Cell:TCTTCGGTCTGGCGTG
group.by:Delta
color:Delta\",\"Cell:TGCCCTAAGTCCGGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGGAATGAGGAGCGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACAGGCTCAAGATCC
group.by:Beta
color:Beta\",\"Cell:ACGAGCCAGTTCGCAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGGGTTCGCCATAA
group.by:Beta
color:Beta\",\"Cell:CCACTACAGAGTACCG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGCCTAAAGCCCAACC
group.by:Ductal
color:Ductal\",\"Cell:AAGGCAGGTCTAGCCG
group.by:Alpha
color:Alpha\",\"Cell:AGTGGGACAGTATCTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAACCAATCGGGAGTA
group.by:Ductal
color:Ductal\",\"Cell:TGTCCCATCTTGACGA
group.by:Ductal
color:Ductal\",\"Cell:CGTCCATCAGTCGTGC
group.by:Beta
color:Beta\",\"Cell:GTTTCTAGTCCTCTTG
group.by:Alpha
color:Alpha\",\"Cell:GCACATACATTACGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATGGGAGTCGGTTCGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ATAAGAGTCCGAACGC
group.by:Ductal
color:Ductal\",\"Cell:ACGCCGAAGCTTCGCG
group.by:Alpha
color:Alpha\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"color\":[\"Ductal\",\"Pre-endocrine\",\"Ngn3 low EP\",\"Beta\",\"Ductal\",\"Ductal\",\"Ngn3 high EP\",\"Beta\",\"Beta\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Alpha\",\"Ductal\",\"Ngn3 low EP\",\"Beta\",\"Ngn3 high EP\",\"Ductal\",\"Epsilon\",\"Delta\",\"Beta\",\"Epsilon\",\"Beta\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Alpha\",\"Beta\",\"Epsilon\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Pre-endocrine\",\"Epsilon\",\"Beta\",\"Ngn3 high EP\",\"Ngn3 low EP\",\"Beta\",\"Beta\",\"Beta\",\"Ductal\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Alpha\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Beta\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Beta\",\"Alpha\",\"Beta\",\"Beta\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Alpha\",\"Beta\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Ductal\",\"Ngn3 low EP\",\"Beta\",\"Alpha\",\"Alpha\",\"Ductal\",\"Ngn3 high EP\",\"Beta\",\"Ngn3 high EP\",\"Alpha\",\"Alpha\",\"Ductal\",\"Ngn3 high EP\",\"Beta\",\"Ngn3 low EP\",\"Ductal\",\"Alpha\",\"Pre-endocrine\",\"Epsilon\",\"Epsilon\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ductal\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Delta\",\"Ductal\",\"Alpha\",\"Ductal\",\"Beta\",\"Beta\",\"Beta\",\"Ngn3 high EP\",\"Beta\",\"Ductal\",\"Ductal\",\"Alpha\",\"Epsilon\",\"Pre-endocrine\",\"Ductal\",\"Pre-endocrine\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Alpha\",\"Ductal\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Beta\",\"Pre-endocrine\",\"Ductal\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ductal\",\"Beta\",\"Ngn3 low EP\",\"Delta\",\"Beta\",\"Ngn3 low EP\",\"Ngn3 low EP\",\"Beta\",\"Ductal\",\"Ductal\",\"Pre-endocrine\",\"Beta\",\"Ngn3 low EP\",\"Epsilon\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ductal\",\"Delta\",\"Ductal\",\"Ngn3 low EP\",\"Ductal\",\"Ductal\",\"Alpha\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Beta\",\"Ngn3 high EP\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Delta\",\"Pre-endocrine\",\"Pre-endocrine\",\"Alpha\",\"Beta\",\"Alpha\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Alpha\",\"Beta\",\"Pre-endocrine\",\"Alpha\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Epsilon\",\"Alpha\",\"Ngn3 high EP\",\"Ductal\",\"Alpha\",\"Beta\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Alpha\",\"Alpha\",\"Alpha\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Beta\",\"Ductal\",\"Beta\",\"Alpha\",\"Alpha\",\"Epsilon\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Beta\",\"Ngn3 high EP\",\"Beta\",\"Beta\",\"Alpha\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Beta\",\"Epsilon\",\"Epsilon\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 low EP\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Alpha\",\"Ngn3 high EP\",\"Beta\",\"Beta\",\"Ngn3 high EP\",\"Ductal\",\"Alpha\",\"Alpha\",\"Beta\",\"Pre-endocrine\",\"Beta\",\"Ngn3 high EP\",\"Alpha\",\"Beta\",\"Pre-endocrine\",\"Ductal\",\"Alpha\",\"Beta\",\"Ngn3 high EP\",\"Alpha\",\"Beta\",\"Ductal\",\"Ductal\",\"Epsilon\",\"Beta\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ductal\",\"Alpha\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 high EP\",\"Ngn3 low EP\",\"Beta\",\"Ngn3 low EP\",\"Beta\",\"Beta\",\"Beta\",\"Ductal\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Ductal\",\"Ductal\",\"Ductal\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ductal\",\"Beta\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Alpha\",\"Ductal\",\"Ductal\",\"Beta\",\"Pre-endocrine\",\"Beta\",\"Alpha\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ductal\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Pre-endocrine\",\"Alpha\",\"Ductal\",\"Delta\",\"Ductal\",\"Delta\",\"Beta\",\"Beta\",\"Ngn3 low EP\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Beta\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 low EP\",\"Alpha\",\"Beta\",\"Ductal\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Alpha\",\"Ductal\",\"Alpha\",\"Beta\",\"Beta\",\"Beta\",\"Pre-endocrine\",\"Ductal\",\"Ductal\",\"Ductal\",\"Alpha\",\"Beta\",\"Ngn3 high EP\",\"Beta\",\"Alpha\",\"Ductal\",\"Epsilon\",\"Ngn3 high EP\",\"Beta\",\"Beta\",\"Ngn3 high EP\",\"Beta\",\"Ductal\",\"Ngn3 low EP\",\"Alpha\",\"Alpha\",\"Ductal\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ngn3 low EP\",\"Beta\",\"Ductal\",\"Beta\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Beta\",\"Ductal\",\"Ductal\",\"Pre-endocrine\",\"Beta\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Beta\",\"Delta\",\"Beta\",\"Beta\",\"Ductal\",\"Pre-endocrine\",\"Epsilon\",\"Ductal\",\"Ductal\",\"Ductal\",\"Beta\",\"Ngn3 low EP\",\"Ductal\",\"Beta\",\"Delta\",\"Ductal\",\"Alpha\",\"Beta\",\"Ngn3 low EP\",\"Ductal\",\"Alpha\",\"Ductal\",\"Ngn3 high EP\",\"Beta\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Alpha\",\"Pre-endocrine\",\"Ductal\",\"Delta\",\"Ductal\",\"Pre-endocrine\",\"Beta\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Alpha\",\"Epsilon\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Beta\",\"Pre-endocrine\",\"Beta\",\"Epsilon\",\"Alpha\",\"Ductal\",\"Ductal\",\"Alpha\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Beta\",\"Beta\",\"Pre-endocrine\",\"Epsilon\",\"Alpha\",\"Ductal\",\"Ductal\",\"Alpha\",\"Ductal\",\"Beta\",\"Pre-endocrine\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ductal\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Ductal\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Beta\",\"Ngn3 high EP\",\"Alpha\",\"Beta\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Alpha\",\"Ductal\",\"Alpha\",\"Delta\",\"Pre-endocrine\",\"Alpha\",\"Beta\",\"Pre-endocrine\",\"Beta\",\"Epsilon\",\"Ngn3 low EP\",\"Beta\",\"Ductal\",\"Ductal\",\"Ductal\",\"Ductal\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Beta\",\"Alpha\",\"Ductal\",\"Beta\",\"Ngn3 high EP\",\"Ductal\",\"Beta\",\"Beta\",\"Ductal\",\"Alpha\",\"Beta\",\"Beta\",\"Ngn3 low EP\",\"Alpha\",\"Beta\",\"Delta\",\"Ductal\",\"Pre-endocrine\",\"Beta\",\"Pre-endocrine\",\"Delta\",\"Alpha\",\"Pre-endocrine\",\"Ductal\",\"Ngn3 high EP\",\"Delta\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Alpha\",\"Ductal\",\"Epsilon\",\"Ductal\",\"Beta\",\"Pre-endocrine\",\"Alpha\",\"Ductal\",\"Ngn3 low EP\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Pre-endocrine\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Pre-endocrine\",\"Beta\",\"Ductal\",\"Beta\",\"Pre-endocrine\",\"Alpha\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Beta\",\"Ductal\",\"Ductal\",\"Ngn3 low EP\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Alpha\",\"Pre-endocrine\",\"Ngn3 low EP\",\"Alpha\",\"Beta\",\"Ngn3 high EP\",\"Alpha\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ductal\",\"Pre-endocrine\",\"Beta\",\"Delta\",\"Pre-endocrine\",\"Alpha\",\"Beta\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 high EP\",\"Beta\",\"Pre-endocrine\",\"Alpha\",\"Beta\",\"Ngn3 high EP\",\"Ductal\",\"Alpha\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Beta\",\"Ngn3 high EP\",\"Ductal\",\"Beta\",\"Alpha\",\"Ductal\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Epsilon\",\"Beta\",\"Beta\",\"Ductal\",\"Ngn3 low EP\",\"Ductal\",\"Ductal\",\"Ductal\",\"Alpha\",\"Pre-endocrine\",\"Ductal\",\"Pre-endocrine\",\"Beta\",\"Ngn3 low EP\",\"Beta\",\"Alpha\",\"Ductal\",\"Ductal\",\"Alpha\",\"Alpha\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Alpha\",\"Epsilon\",\"Epsilon\",\"Ngn3 high EP\",\"Beta\",\"Ductal\",\"Alpha\",\"Pre-endocrine\",\"Ductal\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 low EP\",\"Ductal\",\"Beta\",\"Ngn3 high EP\",\"Beta\",\"Alpha\",\"Ductal\",\"Ngn3 low EP\",\"Beta\",\"Ngn3 low EP\",\"Beta\",\"Ductal\",\"Alpha\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Alpha\",\"Alpha\",\"Alpha\",\"Alpha\",\"Ductal\",\"Beta\",\"Beta\",\"Ductal\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Alpha\",\"Beta\",\"Beta\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Ngn3 high EP\",\"Epsilon\",\"Epsilon\",\"Ductal\",\"Ductal\",\"Ductal\",\"Beta\",\"Alpha\",\"Ductal\",\"Ductal\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Beta\",\"Ngn3 low EP\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Alpha\",\"Ductal\",\"Alpha\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ductal\",\"Ductal\",\"Pre-endocrine\",\"Ngn3 low EP\",\"Ductal\",\"Ductal\",\"Pre-endocrine\",\"Alpha\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ductal\",\"Ductal\",\"Ductal\",\"Beta\",\"Pre-endocrine\",\"Ngn3 low EP\",\"Alpha\",\"Ductal\",\"Alpha\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Alpha\",\"Pre-endocrine\",\"Ductal\",\"Ductal\",\"Beta\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 low EP\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Beta\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Alpha\",\"Beta\",\"Ductal\",\"Pre-endocrine\",\"Pre-endocrine\",\"Alpha\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ductal\",\"Ngn3 low EP\",\"Ngn3 low EP\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Alpha\",\"Ductal\",\"Epsilon\",\"Ngn3 low EP\",\"Beta\",\"Beta\",\"Ductal\",\"Ductal\",\"Pre-endocrine\",\"Beta\",\"Alpha\",\"Ngn3 low EP\",\"Ngn3 low EP\",\"Ductal\",\"Ngn3 low EP\",\"Beta\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Alpha\",\"Beta\",\"Alpha\",\"Beta\",\"Ngn3 high EP\",\"Alpha\",\"Epsilon\",\"Alpha\",\"Pre-endocrine\",\"Beta\",\"Ngn3 low EP\",\"Beta\",\"Ductal\",\"Beta\",\"Beta\",\"Beta\",\"Ngn3 low EP\",\"Alpha\",\"Beta\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Pre-endocrine\",\"Pre-endocrine\",\"Beta\",\"Ductal\",\"Beta\",\"Beta\",\"Pre-endocrine\",\"Ductal\",\"Ductal\",\"Ngn3 low EP\",\"Ductal\",\"Beta\",\"Delta\",\"Pre-endocrine\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 high EP\",\"Beta\",\"Ductal\",\"Ngn3 low EP\",\"Ductal\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Beta\",\"Alpha\",\"Ngn3 high EP\",\"Beta\",\"Pre-endocrine\",\"Beta\",\"Delta\",\"Beta\",\"Ngn3 low EP\",\"Epsilon\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ngn3 low EP\",\"Alpha\",\"Ngn3 high EP\",\"Ngn3 low EP\",\"Beta\",\"Alpha\",\"Epsilon\",\"Ductal\",\"Beta\",\"Pre-endocrine\",\"Pre-endocrine\",\"Beta\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Beta\",\"Alpha\",\"Beta\",\"Ngn3 low EP\",\"Ngn3 low EP\",\"Ductal\",\"Ductal\",\"Pre-endocrine\",\"Alpha\",\"Pre-endocrine\",\"Beta\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Ductal\",\"Alpha\",\"Alpha\",\"Ngn3 high EP\",\"Ductal\",\"Beta\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Beta\",\"Ngn3 low EP\",\"Ngn3 low EP\",\"Alpha\",\"Beta\",\"Ductal\",\"Ngn3 low EP\",\"Alpha\",\"Ductal\",\"Beta\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Epsilon\",\"Beta\",\"Ductal\",\"Ngn3 high EP\",\"Ngn3 low EP\",\"Ductal\",\"Alpha\",\"Alpha\",\"Ductal\",\"Beta\",\"Ductal\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 low EP\",\"Ductal\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Beta\",\"Ngn3 high EP\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Beta\",\"Ductal\",\"Beta\",\"Ductal\",\"Beta\",\"Beta\",\"Ductal\",\"Alpha\",\"Epsilon\",\"Alpha\",\"Ductal\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Epsilon\",\"Alpha\",\"Alpha\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Alpha\",\"Ductal\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 low EP\",\"Ductal\",\"Ductal\",\"Ngn3 low EP\",\"Beta\",\"Pre-endocrine\",\"Alpha\",\"Beta\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Ductal\",\"Ductal\",\"Alpha\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Beta\",\"Ductal\",\"Beta\",\"Beta\",\"Beta\",\"Beta\",\"Alpha\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Alpha\",\"Ductal\",\"Pre-endocrine\",\"Alpha\",\"Beta\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Beta\",\"Alpha\",\"Ductal\",\"Pre-endocrine\",\"Pre-endocrine\",\"Beta\",\"Ngn3 low EP\",\"Beta\",\"Alpha\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Delta\",\"Pre-endocrine\",\"Pre-endocrine\",\"Beta\",\"Pre-endocrine\",\"Beta\",\"Ngn3 low EP\",\"Ductal\",\"Alpha\",\"Pre-endocrine\",\"Ductal\",\"Ductal\",\"Beta\",\"Alpha\",\"Ngn3 high EP\",\"Ngn3 low EP\",\"Ductal\",\"Alpha\"],\"colors\":[\"#A6CEE3\",\"#1F78B4\",\"#B2DF8A\",\"#33A02C\",\"#FDBF6F\",\"#FF7F00\",\"#FB9A99\",\"#E31A1C\"],\"marker\":{\"size\":1.5},\"showlegend\":true,\"visible\":true,\"inherit\":true},\"1f093a555d32.1\":{\"alpha_stroke\":1,\"sizes\":[10,100],\"spans\":[1,20],\"x\":[-5.2168136014245556,-5.2400648182285705,-5.255031521959932,-5.2842716741885249,-5.2851273035861395,-5.2928017384219626,-5.2989471078534658,-5.300407756442258,-5.3029387178764793,-5.3057781461636946,-5.3104105399003849,-5.3267194214573159,-5.3294394726736707,-5.3326467307472667,-5.3328672936404953,-5.3331952996673637,-5.3419356849934889,-5.3424446966409391,-5.3507562536088162,-5.3547306216819539,-5.3565553120343381,-5.3586886828302029,-5.3653478532467744,-5.3691788602590602,-5.3746500517669693,-5.3833668870907134,-5.4027853598484699,-5.4153812264670433,-5.4448831944993223,-5.4565581693330705,-5.4652597327558201,-5.4661293205598582,-5.4726968212905529,-5.4808522950694512,-5.4875770208272314,-5.502905833279458,-5.5109012801907529,-5.5119207472511835,-5.5190906139019749,-5.519856886344817,-5.5271660095932775,-5.5353904581233104,-5.5355663520459029,-5.5356403082516037,-5.5377274666265439,-5.5388485978314872,-5.5408433985503107,-5.5422970180248736,-5.5517117882029421,-5.5566058862556797,-5.5578671721685158,-5.5592798250778444,-5.5600713713645851,-5.5625255946334757,-5.5700192328411937,-5.5721600652295455,-5.5844210869024815,-5.6087252567454193,-5.6110263818831285,-5.6118381281429972,-5.6136612858989672,-5.6214314687762927,-5.6282459950227395,-5.630387559034161,-5.6332184165536905,-5.6347433655884149,-5.6433981577449748,-5.6510246392704815,-5.659846488152672,-5.6612092248101646,-5.6616615165892634,-5.6704549673088893,-5.6754467623186455,-5.6757609378339753,-5.6835583906633618,-5.6888584753248077,-5.6896322364677872,-5.6899227819088569,-5.692842564071543,-5.6964947375774715,-5.6969657125406687,-5.7009134197089253,-5.701235983602575,-5.7014749024105793,-5.702811809214297,-5.706761581141909,-5.7103968749777598,-5.7123706686779698,-5.7228214224803535,-5.7285934507328866,-5.7296011355024019,-5.7298516393841892,-5.7308388554735741,-5.746624824097748,-5.7515668756254259,-5.7530260840236336,-5.7586732969480208,-5.7615795049672682,-5.7638166947377263,-5.7656492181105241,-5.7687043049009894,-5.7786079393067213,-5.7947704891763721,-5.7997202802553716,-5.8036860476779415,-5.8275477919880245,-5.8285015183549644,-5.8309849320978877,-5.8369398562764516,-5.8369808562418299,-5.837533537643659,-5.837587173303457,-5.8384346603525294,-5.8548218902605464,-5.8553414927325598,-5.8559866795345616,-5.8567590458959273,-5.8595119100490525,-5.8612611945326103,-5.8644125532203315,-5.8653693319610474,-5.866140821100613,-5.8683460567027357,-5.8691541257098443,-5.870762582456595,-5.8709556143669932,-5.8732252954134347,-5.8733691047091208,-5.8737178565425188,-5.8738993527446715,-5.8740449507417036,-5.8741177360883192,-5.8741825434325072,-5.8742340994193025,-5.8744017200811633,-5.8746941700476496,-5.8748392039502324,-5.8752093007911448,-5.8752195840626653,-5.8752475590892246,-5.8752503129008042,-5.8751596451915642,-5.874955946790239,-5.8746510956629638,-5.87247546200902,-5.8716352417871933,-5.8699439393715211,-5.8668850737940605,-5.8664295271098128,-5.8652908885746919,-5.8629953327484765,-5.8614934033965023,-5.8581567136803159,-5.8541570958156095,-5.8480939609599121,-5.8413710124879428,-5.8407334369389474,-5.8339204738975532,-5.8334153917592371,-5.8282223535145254,-5.828092729635852,-5.8277569704689691,-5.8267935234763462,-5.822857066624243,-5.8221864402394301,-5.8210455715731317,-5.8202567201588113,-5.8183083743514752,-5.8175500017671418,-5.8169167387359977,-5.814946565912245,-5.8135962843638422,-5.8108288951578908,-5.8097503355820166,-5.8074247593170227,-5.8056341306587314,-5.8052813817043418,-5.802907923950281,-5.8027151665679995,-5.802254587989407,-5.7994165881893363,-5.7972598852527399,-5.7971882060323106,-5.7916875027962194,-5.7898110377953902,-5.7867257303067907,-5.7685618962501639,-5.7668257978498589,-5.7667907460237604,-5.764298511845511,-5.7640153878606712,-5.7612971663951056,-5.7593251495411781,-5.758432891140842,-5.7555965087174554,-5.7541872163772609,-5.7531578089114683,-5.7512900449729978,-5.7503116370119232,-5.7466794005359914,-5.7446296677405568,-5.7434417727267437,-5.7428622383723678,-5.7375586815817563,-5.7347771039825277,-5.7327272850137048,-5.7288725347899918,-5.7217854864885433,-5.7217468175867223,-5.7216396055331202,-5.7168765904384697,-5.7152009271819404,-5.7139435976534578,-5.7113698603444156,-5.7106055191889631,-5.7086855096878093,-5.7062509924043319,-5.7047551910659662,-5.7014405811207114,-5.6996057432438105,-5.6979898600928571,-5.6973166619308842,-5.6969795034004855,-5.6965884214130931,-5.6925929510980158,-5.6901653540421968,-5.6878533672765004,-5.6863964492349863,-5.6854033397371833,-5.6849641580060997,-5.6790635455825633,-5.6780771965824641,-5.6777743466628223,-5.6682292624088397,-5.6640552212724957,-5.6629717922753011,-5.6602426359384825,-5.6593596255706826,-5.6591122047014162,-5.6560311618467463,-5.6552311899854253,-5.64703316247732,-5.6448098325731415,-5.6437633467989645,-5.6378355927862742,-5.6307766315162597,-5.6293168338816519,-5.6278686857242963,-5.6251580752392751,-5.6157297351301354,-5.6137385147367755,-5.604589639685682,-5.5824347834763053,-5.5605841700821674,-5.5491227488795731,-5.5360278791020781,-5.5310613446258117,-5.5292960730333167,-5.5175004540558197,-5.5174009602826155,-5.5021236584618967,-5.4939624033249004,-5.4898205133722362,-5.4868197104603968,-5.4771516230742723,-5.4691528507314846,-5.4680495097383535,-5.4659915835190471,-5.4589044079937317,-5.4540201370643286,-5.449269158107648,-5.4436912972579341,-5.4434633122654095,-5.4304104826017872,-5.4274648255185749,-5.4223073339290817,-5.4210200672538145,-5.4176813494427876,-5.4171112133207568,-5.4060131107416147,-5.3997158360722146,-5.3968520772937945,-5.3952516612129315,-5.3894122614839102,-5.3722740289869026,-5.368442470464533,-5.3642158399228741,-5.3581029131345801,-5.3579356173822541,-5.3551574161920499,-5.3525220303069609,-5.3272010428211534,-5.3238523994472393,-5.3052250974189912,-5.3033967594087494,-5.3017978006332847,-5.2700454021867484,-5.2618665776394264,-5.2553852900381397,-5.2544583475509397,-5.2008824687159469,-5.2001174322692627,-5.1940758268201979,-5.1144608556691828,-5.0921594360794193,-5.0500607102451376,-5.0404915008968283,-4.98916250818138,-4.9222963770304684,-4.8834783509998667,-4.8732256673263983,-4.7890603448837643,-4.762972970018355,-4.6734847168235625,-4.6439759769720492,-4.6029044837812716,-4.5883565894231824,-4.5338222293532784,-4.4111844373481945,-4.3835965798195984,-4.3705227734632128,-4.2351229618380586,-4.2206784234621857,-4.2176437710537318,-4.1384360705453354,-4.0762453639360254,-4.013440392350395,-4.0059918149955243,-3.9978402506389989,-3.9965606021125573,-3.947488276221558,-3.9259767944656501,-3.8867662789058079,-3.880249217477306,-3.7923102425543935,-3.7664936190957512,-3.7604331879688302,-3.6978287053857963,-3.5917950732840844,-3.5204803236787505,-3.4811579450621193,-3.4198483921323408,-2.992886874570031,-2.9860936025642459,-2.8952920620058866,-2.7816892501649764,-2.7674879399954975,-2.5986757903644477,-2.5412987577219073,-2.5170468187110622,-2.4847282415425922,-2.4809870486247902,-2.2912768260264755,-2.2331678650761448,-2.2077775525110468,-2.1882502421093797,-2.0654587491886014,-1.9850987064667778,-1.9633971005393684,-1.8150070993635146,-1.783466398475992,-1.7415315667476456,-1.7027380152884934,-1.6139213704476885,-1.4070349834612137,-1.3845673645470853,-1.3591480475790378,-1.2126610881103126,-1.0852451014224211,-1.041381605790999,-0.98631126307514094,-0.96864803833356317,-0.87953329781052203,-0.86185488862663284,-0.8364215629247016,-0.79817906357847446,-0.76022575281876947,-0.75892553426418241,-0.71901703743289669,-0.65582876778983534,-0.61994435408080617,-0.58603021337757411,-0.56461396478379222,-0.55971051142612749,-0.49921041710403785,-0.44461592028043223,-0.43421376560152952,-0.38017122118980268,-0.3459918660715543,-0.33842824914934949,-0.19973018537509601,-0.19655798518082218,-0.15206804269358443,-0.11165743046364097,0.075277315817345758,0.093010424276202222,0.16141434508485569,0.18810829105743401,0.19649195805393535,0.20303836668635722,0.22100998489032417,0.25716066975100643,0.26436927973309171,0.28464396157632282,0.29634179032430613,0.35671698104162292,0.382145962649029,0.41816723861852612,0.53738015836714403,0.54855461810088424,0.59789800783410085,0.62809505696607781,0.64350941171247755,0.69193754115020278,0.6971813052893735,0.78201219698591018,0.78956760165487705,0.8192961604801472,0.85490335996850042,0.85766404196408419,0.86054106529101815,0.91942688931173322,0.92845098964835704,0.9521767390746172,0.98277142497897096,1.0052925035392672,1.017304146762412,1.0264504171897126,1.0823986520012854,1.0886177496992173,1.1484709377633551,1.1938981557412829,1.2280126101249129,1.2337380181695985,1.2887281708766749,1.2938239029430563,1.3044528540545737,1.3045418904090205,1.3618562049008909,1.3679683710284012,1.3942544945011943,1.4067146092369831,1.4175688833695157,1.5241070033228037,1.5304233137481342,1.678597181795922,1.7707130102635942,1.8237076556344525,1.8586148924571686,1.8661291750215347,1.8810099887466596,1.9367273029386542,1.9556712656464894,1.9857175179623203,2.0065785282005399,2.0184393568795715,2.0493830243384812,2.1019662079936481,2.1066983963048838,2.1403987914148166,2.152943971110445,2.166390516144777,2.1697003567226205,2.1817651207063364,2.3233609773171815,2.356070134225059,2.410383345268996,2.4384832599729611,2.4395542262060892,2.4399133192514459,2.4466263318244921,2.4648034860707955,2.4664394669129872,2.5434493216748404,2.6163376910988028,2.6184723805519727,2.6359130623698896,2.6776822792473127,2.7072505037689369,2.7288371799799789,2.7719945360425946,2.7882512499691341,2.8767129132301585,2.8941061950170499,2.9321081549223162,2.9529874500951783,3.0169542994757257,3.0169741686721365,3.0389188673364367,3.0482973396172124,3.0679027704446815,3.0798641949092658,3.0846833503721012,3.10072400005058,3.1009683209035659,3.1228182825392294,3.1336114679686511,3.1359349889101438,3.1556196768164586,3.1942611024269123,3.1981688469899257,3.2060351614427094,3.2165511007850069,3.2334238405764331,3.2360746908115767,3.344145903554828,3.3537130388043446,3.3546630694751967,3.35785787427008,3.3697775362625166,3.3704513345162002,3.3744522705143174,3.3790167085117924,3.3818291105434479,3.4211573871049517,3.4484621045139181,3.453127959775605,3.5136829845660937,3.5203162377714197,3.5236378670685053,3.5251869333942145,3.5361497405972706,3.5692153345183764,3.6045633858533681,3.6519378988120734,3.652055238090874,3.6552243909454551,3.6747133190408268,3.6852256723832832,3.6893596977606391,3.6942473942477942,3.7125992812355388,3.7409465644809021,3.7484635622241038,3.7547017708159296,3.7676891128742325,3.7777002037507996,3.7876125803124188,3.8031302013528387,3.8083435905864582,3.8189138581118147,3.8305081370727381,3.8391899465337351,3.8445150216555977,3.8452599533060301,3.8481040179858059,3.8607113825199471,3.8659138916130336,3.8987882730271615,3.9213734541052907,3.9318024866122849,3.9346576099774722,3.944197408409964,3.9536194194253902,3.9551488257607108,3.9581723466023524,3.9604112647472327,3.9625159675318531,3.9782018566802453,3.9812551674482832,3.9888530425874658,4.0040296188114164,4.0075105948812801,4.0075479952515183,4.0210615933938971,4.0211003120226385,4.0264463158847557,4.03591823382766,4.0466409207109075,4.0469357141615374,4.0476728120679653,4.048558191097599,4.0486705147528967,4.0488386230130464,4.0511177936444209,4.0541624769120785,4.0563197300482345,4.0592177186272433,4.0619144429111911,4.0645006427084018,4.0647337974319901,4.0652838217289542,4.0719684968071235,4.071983332363498,4.0735483718704293,4.0742122051915208,4.0748084046701782,4.0772365522593752,4.0772670794029109,4.0805348526609837,4.0811469850749633,4.0830178047020667,4.0838426139641033,4.0864014041366818,4.0875378297829297,4.0881057384295669,4.0882097714564125,4.0902582599834991,4.0908627623628568,4.0909618790066693,4.0915558277619661,4.0915943131090344,4.0917833563846546,4.0927100072437339,4.0932158275098063,4.0937669967787986,4.0940813298939407,4.09377768789781,4.0937397669459434,4.092433996945676,4.0873826893563932,4.0814092329810405,4.0678649555472051,4.0637281073021354,4.062588800240559,4.06044984512444,4.0542056818884014,4.0535887096784311,4.0498412928037819,4.0396673129716101,4.0372578819685945,4.0355825826100764,4.0336473010304603,4.031222773308679,4.0173135157118409,4.0147999620719235,4.0112547640299789,4.009614838058793,4.009386580202194,4.0013852071885694,3.9991393237572739,3.9973092124419178,3.9919216518374201,3.9912037973507428,3.9873319430358825,3.9814391708859231,3.9807260113770777,3.979904821724574,3.9733044833914879,3.9644869290014535,3.9620696184143682,3.9607047629961603,3.9597278086606398,3.9588606552276677,3.9585124403076901,3.9575526670217434,3.9554253490672004,3.9478858681307742,3.9411790200598329,3.9385605978789977,3.9374570936827831,3.9309505253609713,3.9222163913119852,3.9159871150498859,3.909858418244768,3.9078277561668591,3.8937008480491082,3.8929627995735507,3.8905186380139889,3.8833146386740358,3.8767296705442096,3.8758488367732871,3.8715245396589135,3.8613887063795511,3.8581171088685693,3.8444816977617506,3.8416403363425933,3.8393994620793701,3.8367756500049066,3.8344581518702214,3.8324411520960502,3.8263812471246874,3.8262482887680109,3.7999299470462722,3.7979762722010681,3.7937048229746586,3.7924927860324118,3.7900125446484911,3.7889314475177671,3.7830148720271235,3.7765649569791426,3.7649732969535576,3.7640646329176897,3.7431639672632224,3.7333518419648222,3.7329861577961938,3.7260222262808842,3.7061054847625527,3.7001750692295934,3.6978148798568293,3.6947220820670679,3.6934252536255459,3.6840286109470224,3.6696287722558374,3.6574316971547831,3.6515006144691866,3.6507975541948667,3.6431535438198086,3.5974842745571629,3.5970172977345136,3.594243592900451,3.5848517230331085,3.5654956908491875,3.5500200033714862,3.5425504203224918,3.5367096947336623,3.5169811167092582,3.5118694944941904,3.511314082486217,3.4949153722437667,3.4761223843083422,3.4746541519417553,3.4665409805239338,3.4173207831039041,3.4091387199256116,3.393355358674369,3.3899072744779035,3.3850651070103477,3.3624436499290886,3.3547749917306602,3.3395663473752455,3.3199697308462328,3.3139020931305252,3.2867315390740792,3.2606250861230306,3.1924224127509384,3.184738895463386,3.1765461334610321,3.1612029089772742,3.1284254824709885,3.0855836699151711,3.0247963479476399,3.0153139547106167,2.8538223317566813,2.8513027626707284,2.8425711831983795,2.8380599061562117,2.798219931157913,2.7477394778620354,2.7475713922854865,2.745211371674154,2.7113806550184414,2.7090794218430863,2.6809894197627178,2.6643850872885944,2.614047149865192,2.608963653877824,2.600292142256547,2.6000132795372104,2.5759775983732358,2.559722101314021,2.5555419412895493,2.5311433677587933,2.5262965887335671,2.5092435670481574,2.5052325901814596,2.4561691353652106,2.4492548672429417,2.449022010317679,2.4479177507020489,2.4428259685279587,2.4427653605577953,2.4418773758974242,2.3950959714896913,2.3658348791991188,2.3107963657911328,2.2750477421181872,2.2708931378015018,2.2629575285751815,2.2623005188873999,2.2559242386084444,2.2555903238163642,2.2508568452176556,2.2442665043745498,2.241945123774308,2.2345406745768397,2.2298064256037295,2.1847333917266352,2.1525679516633391,2.1261806310029518,2.1209956262713718,2.1041317208541099,2.0488201539061275,2.0478556833877364,2.02933631215899,2.0274599879931903],\"y\":[-3.1961858757761483,-3.1555751046283067,-3.1291488785017254,-3.0768239811630291,-3.0752782258917315,-3.0613749837628497,-3.0501905832642944,-3.0475254155255262,-3.0429010202686468,-3.0377034521216237,-3.0292018933122722,-2.9990480321513084,-2.9939840648333313,-2.9879999220670612,-2.9875878667205953,-2.9869749603963807,-2.9705867546714213,-2.969628988181872,-2.953936147166091,-2.9463959314435115,-2.942926098495799,-2.938862822068613,-2.926134204512675,-2.9187798028379146,-2.9082358135572912,-2.8913350879651984,-2.8532153619652405,-2.8281225448264626,-2.7681225591642522,-2.7438658025207774,-2.7255837042126383,-2.7237468514676215,-2.7098150077428085,-2.6923656680410173,-2.6778493196945212,-2.6443055965318401,-2.6265465147151561,-2.6242686568090567,-2.6081602051568011,-2.6064293396274811,-2.5898268912825277,-2.5709394204584521,-2.5705330333109893,-2.5703621330811535,-2.5655314556933435,-2.5629305221398777,-2.5582921036660999,-2.554903416898187,-2.532774926539997,-2.5211445825590415,-2.5181327489022274,-2.5147523056188903,-2.5128548269346287,-2.5069562854753582,-2.4887995260415838,-2.4835709489077167,-2.4532556959710803,-2.3911503929371398,-2.385120036155727,-2.3829861967290342,-2.3781810374102359,-2.3575013683704134,-2.3390879025446005,-2.3332456412614548,-2.3254810603001665,-2.3212782964920553,-2.2971509585232894,-2.2754859414859587,-2.249922067850064,-2.2459227786052471,-2.2445923534071115,-2.2184141523865222,-2.2032788895509272,-2.2023193839868829,-2.1782332079612097,-2.1615504202464786,-2.1590929651227153,-2.1581687258846145,-2.1488356268989612,-2.1370433955664616,-2.1355129378547582,-2.1225947012141138,-2.1215319507405841,-2.1207440728899729,-2.1163241207268526,-2.1031521051640687,-2.0908742192213405,-2.0841437905149323,-2.0477123457727631,-2.0269782801370337,-2.0233108747687529,-2.0223969242226851,-2.0187862887700838,-1.9590001442402918,-1.9394138747777647,-1.9335435341427027,-1.9104286999089712,-1.8982756216800567,-1.8887945168130409,-1.880943968623745,-1.8676805848756819,-1.823199688182483,-1.745096851594341,-1.7195562739617745,-1.6984550992920686,-1.5561347723996584,-1.5497513534915841,-1.5328079964397463,-1.4900728362944522,-1.4897672090061085,-1.485630851473327,-1.4852277854395302,-1.4788195612769968,-1.335555162865619,-1.3301860475011091,-1.3234194463307387,-1.3151662221457927,-1.2842306799634304,-1.2631292475909639,-1.2214330138782974,-1.2075915746535115,-1.1959319744496055,-1.1595478017715324,-1.1447762303022966,-1.1121127352419653,-1.1078227260938507,-1.0474297348693462,-1.0426562828413335,-1.0302753424648261,-1.0232834380775455,-1.0173364553110864,-1.0142327401246813,-1.0113869535958213,-1.0090629471159898,-1.0010851047151061,-0.98508835780632042,-0.97566474532856284,-0.93937092181907,-0.93762204218365619,-0.93208677512635396,-0.893646815086792,-0.87851504329874741,-0.85815425810163126,-0.83735158970857093,-0.75470179731056153,-0.73265931568456522,-0.69494396419926585,-0.63963856113601225,-0.63233240438312843,-0.61485227156195998,-0.58240855303092154,-0.56280401019429416,-0.52276010572467912,-0.47961304135243327,-0.42138809682554856,-0.36402484784437306,-0.35889460042785343,-0.3067971767074078,-0.30311348816266243,-0.26646700640248078,-0.26557908254263551,-0.26328483839531375,-0.25674664083164167,-0.23069127511022794,-0.22635223766663101,-0.2190338668610961,-0.214019036087503,-0.20178687203048987,-0.19708299923786413,-0.19317905079985959,-0.18116862146979945,-0.17305159005302034,-0.15669274920075993,-0.15041384340631359,-0.13705153157085304,-0.1269207778279689,-0.12494072141254738,-0.11174791831770688,-0.11068621469388791,-0.10815515628836518,-0.092735470935784339,-0.081213099549657025,-0.080832953775996336,-0.052173624883588662,-0.042618584675302634,-0.027138410012647204,0.058860772490682126,0.066671630221114747,0.066828664881649374,0.077927715373016848,0.079180422970776224,0.091124626935013359,0.099698033391567048,0.10355236932879813,0.11570470221977905,0.12168728093021022,0.12603444095959995,0.13387371756044128,0.13795579322492374,0.15297228252541359,0.16135449269915658,0.16618293323268873,0.16853088730783561,0.18979132731109263,0.20078459842988763,0.20881951720785377,0.22378236547010866,0.25081575004780543,0.25096162942127076,0.2513659998758746,0.26919999750872337,0.27541477194056585,0.28005826203327122,0.28951159930603282,0.29230581863956229,0.2992986243606397,0.30811226514075712,0.31349862188701733,0.32535794494399528,0.33187836466250353,0.33759499748558364,0.3399696078652728,0.34115734789258034,0.34253376811111264,0.35651813314960873,0.36494699952709042,0.37292792168561539,0.37793424261076258,0.38133677749415584,0.38283890417220756,0.40287060061026247,0.40619236709133349,0.4072107777928895,0.43895484294450227,0.45262807734994775,0.45615713361936616,0.46501091287615098,0.46786463382436305,0.46866330378748478,0.47857444601099336,0.48113748301357184,0.50716411942257222,0.5141492447543109,0.51742644496102486,0.53586433472457839,0.55754962616735892,0.56199836083585963,0.56639969082567088,0.57460645531766175,0.60283935661380617,0.60874135504189475,0.63559592813088273,0.69892797647288485,0.75920760310811508,0.79002098138663901,0.82458436284423642,0.83752025507362771,0.84209566121054258,0.87237241359561368,0.87262563017241979,0.91108927451905253,0.93130406333301152,0.94147675377096562,0.94881100349540404,0.97223865872766357,0.99139206647905476,0.99401802430241692,0.99890560123409466,1.0156358569311499,1.0270749958143175,1.0381317137757848,1.0510253596049837,1.0515503704971356,1.0813511514331531,1.0880070716938541,1.0996002128488065,1.1024818121869502,1.1099335584516523,1.1112028759448467,1.135727985130506,1.1494908364835368,1.1557134128916162,1.1591811020466471,1.1717742907529283,1.2082043239522826,1.2162423086084591,1.2250644946278384,1.2377417538892417,1.2380873405524977,1.2438157989207004,1.2492314639308206,1.3003697157406646,1.307012851284832,1.3434658224175795,1.3469985404894409,1.3500814758802782,1.4100489746637157,1.4251145186990875,1.4369440915868978,1.4386281113691068,1.5330315202855829,1.5343420518952735,1.5446583283799709,1.6757824075768737,1.7111348788194864,1.7765051595370074,1.791135095592566,1.8683077181846721,1.9659113472626077,2.0212412292986439,2.0357055953828733,2.1522881189173746,2.1876995670542456,2.3068495693671793,2.3454069806913251,2.3985123556894794,2.4171720278106701,2.4864490165373776,2.6386362843592068,2.6722306093583876,2.6880728024178562,2.8493320169629976,2.8662450527419798,2.8697914611008928,2.9615330237220494,3.0324860657660619,3.1032141077949817,3.1115420729715231,3.1206415643740444,3.1220686521298724,3.1765174720791345,3.2002171208416805,3.2431558643765679,3.2502603072253189,3.34524113969018,3.3728170582070183,3.3792704997667191,3.445494595367304,3.5558583948150266,3.6288380599001595,3.6686562295135525,3.7301464850074089,4.1387917264634195,4.1450203202210991,4.2274557685602954,4.3284430514363255,4.3408988299533231,4.4860731779542515,4.5341932062487595,4.5543441084501888,4.5810227733317817,4.5840981565399517,4.7364857982694293,4.7817451116568712,4.8013085042375732,4.8162659301246968,4.9085360194109162,4.9672242985860917,4.982838697003185,5.0868700900458315,5.108354959340625,5.1365717698529076,5.1623165813493985,5.2199371025392001,5.3467330394562067,5.359852077376158,5.3745356034994476,5.4557713495378071,5.521527044807744,5.5430538885320946,5.5692449261036101,5.5774443265244509,5.6172787819325798,5.6248698159621577,5.6356054761850594,5.651329970757125,5.6664290828933703,5.6669372762043757,5.6822383544928519,5.7052616553747253,5.7176601668612195,5.7289143665166957,5.7357843962131332,5.7373312081200609,5.7555982423833036,5.7707458301381429,5.7734837749864996,5.7869219603141753,5.7947228270735058,5.7963741621274485,5.8215987403284801,5.8220587053024273,5.8279284195980461,5.8322941850792036,5.8394393824245912,5.8388906626058139,5.8344702226619196,5.8318090479162521,5.8308703255884993,5.8301037936626487,5.8278506506811052,5.8226759300009254,5.8215442782936648,5.8181885259014559,5.816138276734061,5.8042799686717768,5.7986705303396251,5.7901302107997914,5.7572182294713778,5.7537883143574522,5.737977475053091,5.7277816894045506,5.7224293941894278,5.7049819605275527,5.7030363955270751,5.6700897636021335,5.6670243995175174,5.6547615347274203,5.6396585876852461,5.6384690443777741,5.6372265529157666,5.6111732932720928,5.6070775209887866,5.5961809596768779,5.5818593575531228,5.5711256426780773,5.5653353162949797,5.5608959879726712,5.5331790621718833,5.5300393265015453,5.4992344460652012,5.4751571871597928,5.4566895589298197,5.453558111865294,5.4230196464046427,5.420147778830402,5.4141347961147064,5.4140842974449752,5.3811358145444972,5.3775704882313686,5.3621252686425995,5.3547407389134953,5.3482749757844603,5.2832060103783629,5.2792578947990583,5.1837997223758112,5.1217521522060734,5.0851285098628383,5.0606361468638177,5.0553255529001948,5.0447687852526375,5.0047692896190643,4.9909992920899473,4.9689817463349444,4.9535666533997711,4.9447551344566953,4.9216057243267839,4.8817302238458993,4.8781082705070942,4.852153819526082,4.8424198262059628,4.8319426422005138,4.829356730589998,4.8199073767808551,4.7062052995911472,4.6791842318737258,4.6336626249946722,4.6097827027647957,4.6088680502181134,4.6085612939741676,4.602819745168663,4.5872064943062423,4.5857964655240853,4.5184991129970129,4.453051639606052,4.4511077467479687,4.4351658794778412,4.3965394719309101,4.3687987942624584,4.3483284425951583,4.306822038904043,4.2909765260649131,4.2025194166002171,4.184640354519308,4.1449489416352678,4.1227465952595725,4.0527323983408374,4.0527101334996072,4.027899971960113,4.0171567795585119,3.9942885665099657,3.9800222254534856,3.9742066477075269,3.95456702467275,3.9542645144372108,3.9267981499714009,3.9129274967093637,3.9099150447943622,3.884015392081817,3.8311771976455304,3.8256842304218597,3.8145425077891493,3.7994708447762644,3.7748612680014566,3.7709466632747355,3.5997803714681322,3.5834974796152372,3.5818701303140408,3.5763837128392248,3.5557239978271094,3.5545471312036194,3.5475390566353426,3.5395020445453009,3.5345276669636854,3.4631500499176688,3.4115430640353881,3.4025511155856929,3.2810626600834021,3.267195116174983,3.2602078525643594,3.2569394107395779,3.2336273427963942,3.1613413424492323,3.0806288761922977,2.9664479820545893,2.9661561166345853,2.9582556974371794,2.908912218976297,2.8817389695145192,2.8709428545940225,2.8580969264607621,2.8090552934989916,2.7306655143950915,2.7093114726210019,2.6914015290851472,2.6535492200269246,2.623831929699973,2.5939263376971264,2.546103910621496,2.5297504003356539,2.4961310701454984,2.458514083968367,2.4298149373241977,2.4119776039372849,2.4094677620283793,2.3998521271031463,2.3565730810694441,2.3383910836969983,2.2187008975833273,2.1310139664899692,2.0887774032000479,2.077003602539603,2.0369631851329819,1.9962869684267082,1.9895714008304131,1.9761981385807719,1.96621020580491,1.9567533495164011,1.8840507345864974,1.8694054419651547,1.8321854541703015,1.7541034511055864,1.7353956211940413,1.7351928365549467,1.6591737488420111,1.6589473683791995,1.6271573635367642,1.5679226422882986,1.4952830427022257,1.4931846064687755,1.4879108845603362,1.4815244834641439,1.4807101520313966,1.4794896326662101,1.4627277501779099,1.439668701157337,1.4228212624073666,1.399443648652233,1.3768251860197187,1.3542365181276079,1.3521524560935152,1.3472027939694473,1.2826475741504633,1.2824936113723842,1.2659243853840889,1.2586871621575588,1.2520716438751902,1.2238484932892548,1.2234791182596851,1.1816789237553618,1.1732813052313644,1.1462480701878472,1.1335775592417172,1.0904927858346847,1.0689863927858534,1.0575202031584769,1.0553603075141842,1.0079907011256084,0.99163476650033999,0.98880938168369337,0.97083930266438978,0.9696051209363421,0.96339895502604755,0.92840075754347751,0.9040544864014044,0.8671793214590815,0.82541436117003553,0.7455726572537863,0.7422685468177338,0.67090070993798034,0.53451331898538412,0.43198767512760111,0.26632657570952212,0.22486757325332149,0.21394696641411234,0.19395801116834832,0.13894761498209779,0.13375108587620008,0.1029953880816553,0.02547223025068434,0.0081967347728031451,-0.0036012065996976275,-0.01702259680777897,-0.033538375148906091,-0.12268691891222946,-0.13790598868559198,-0.15896524944983875,-0.1685532852917726,-0.16988036964129891,-0.2153110856933789,-0.22770343040194518,-0.23769236926964515,-0.26655510542162741,-0.27034198495808798,-0.29053944675651866,-0.32057626043287196,-0.3241564971392813,-0.32826485665233562,-0.36075175697883055,-0.4027630447290062,-0.41402161361742762,-0.42033150320812263,-0.42482765467494249,-0.42880436694079338,-0.43039755357816795,-0.43477789425918933,-0.44443045923117741,-0.47803721978170061,-0.50718397214659428,-0.51838208062809099,-0.52307192351395693,-0.5503801320645435,-0.58615513814287012,-0.61108923149090089,-0.63517522817335537,-0.64306200029792393,-0.69670743860574014,-0.69945380046209538,-0.70851052842498352,-0.73487073592949037,-0.75854548671109323,-0.76168286405602914,-0.77698699196934817,-0.81223928367796905,-0.82343918548867068,-0.86922882700540871,-0.87859669215461578,-0.88594397112755019,-0.89450172960978158,-0.90202050809356527,-0.90853427507578832,-0.92793899446602823,-0.9283620057761981,-1.0099020303341242,-1.0157890047732929,-1.0285843285795573,-1.0321963245728834,-1.0395622288488604,-1.0427622765086313,-1.0601626607292229,-1.0789188314291445,-1.1120885723694922,-1.1146602750111565,-1.1727233745639303,-1.1992913956527729,-1.2002733875898952,-1.2188729612009161,-1.2710478629391599,-1.2863046998333261,-1.2923423942803192,-1.3002251511800207,-1.3035207195343392,-1.3272315074689949,-1.3630108822220064,-1.3928140913604425,-1.4071464410109058,-1.408838586437942,-1.427145146050075,-1.5332447935042375,-1.5343024299770687,-1.5405737105573183,-1.5616734489013371,-1.6045222322668085,-1.6381918821506749,-1.6542635557659717,-1.6667514052368047,-1.7084348309601314,-1.7191132435646161,-1.7202705800549833,-1.7541864009862926,-1.7924669303270457,-1.7954320994306638,-1.8117519108175584,-1.9085086041744952,-1.9242380637759919,-1.9543112553803801,-1.9608349465575605,-1.9699687630255187,-2.0122249023849936,-2.0263986435977555,-2.0542895696914996,-2.0898117756048458,-2.1007182284861643,-2.1490416464517836,-2.1947108438531111,-2.3107694953287545,-2.323568300654979,-2.337156974359706,-2.3624464347088452,-2.4157997978448202,-2.4842263449196929,-2.5789579493876893,-2.5935010931215805,-2.8325568762006861,-2.836168160516146,-2.848657207476998,-2.8550942041865244,-2.9114896680097773,-2.9818323579070327,-2.982064580055801,-2.985323747406543,-3.0317672027754026,-3.0349079139207054,-3.0730605463798337,-3.0954558139029147,-3.1626634552637136,-3.1693948831150669,-3.1808544934595817,-3.1812225392605411,-3.2128346248179369,-3.2340923007158815,-3.2395431814689024,-3.2712334643067948,-3.2775036253097163,-3.2994997109118223,-3.3046587691166374,-3.3673290203695081,-3.3760973499837732,-3.3763923803010538,-3.3777912437089057,-3.3842364172001238,-3.3843130849684679,-3.3854362324240004,-3.4442583579431383,-3.4807128902578057,-3.5486100018494651,-3.5922602089595301,-3.5973108678496941,-3.6069453482436833,-3.6077422701760713,-3.6154705374684188,-3.6158749613702783,-3.6216048416750639,-3.629572803168426,-3.6323767734610257,-3.6413113078710997,-3.6470165406951383,-3.7010534805648758,-3.7393138972764834,-3.7705199472469864,-3.7766330002060675,-3.7964732695599461,-3.8611066414786959,-3.8622278109476302,-3.8837181167641597,-3.8858914507206999],\"z\":[3.6137247792123866,3.5382588992615096,3.4892541056928823,3.3924911699884839,3.3896384869798921,3.3639960950270855,3.3433895131862346,3.3384819721276524,3.329969441692179,3.3204058891649675,3.3047723900311552,3.2494199388478084,3.2401395764463232,3.229178754489999,3.2284242518465791,3.2273020333672369,3.1973209790004153,3.1955703469385601,3.1669111994846699,3.1531576341661922,3.1468322891502796,3.1394281398480683,3.1162552357864528,3.1028812475066343,3.0837264717186974,3.0530725992263719,2.98416219045503,2.9389825706563046,2.8315757760195268,2.7884164958585202,2.7559926366614205,2.7527400045881856,2.7281006565505348,2.6973178693883519,2.671776136067006,2.612993948349823,2.5820110472086575,2.5780441051066156,2.5500372808168144,2.5470327993764847,2.518262452856737,2.4856408149174793,2.4849402036613695,2.484645587994637,2.4763219485608907,2.4718435315318348,2.4638624473949529,2.4580362434622489,2.4200854782219769,2.4002060243380896,2.3950655593437715,2.3892997048573612,2.3860650057985295,2.3760175518611932,2.3451662408481653,2.3363036366012833,2.2851115607836125,2.1812930194156595,2.1712898167562571,2.1677535265448848,2.1597966203823451,2.1256549159724432,2.0953952522834061,2.0858223476106734,2.0731205748087134,2.0662554582581953,2.0269811647099218,1.9919160107341116,1.950788354189247,1.9443787129431704,1.9422479237694759,1.9004720743545653,1.8764506518770458,1.8749310823708825,1.836914601821839,1.810729397155161,1.806882357600138,1.8054361785956843,1.7908532449622554,1.7724821778366917,1.7701023379980554,1.7500555728451295,1.74840963929462,1.7471897351742625,1.7403512069732792,1.7200226620192798,1.7011432354803291,1.6908224446795446,1.6353082250266193,1.6039805050993785,1.5984595806317832,1.5970846669507495,1.5916566709440219,1.5026439591585059,1.4738404387890411,1.4652421145610022,1.431541225259735,1.4139220847904339,1.4002245523064001,1.3889145198273145,1.369871950781012,1.3064826157107279,1.1967743385503105,1.1613316007164411,1.1322081087061331,0.9394483488038321,0.93094944368659682,0.90845101958340635,0.85208916625905107,0.851688055851612,0.84626216861310288,0.8457337172995627,0.83733852447946533,0.65279314621824325,0.64599196045216001,0.63743219553400321,0.62700939899000308,0.58811250690647832,0.56173439587579055,0.50997500561175135,0.4928989493847426,0.47855532265099759,0.43403353520015475,0.41606045871506869,0.37652576618491979,0.37135448935625465,0.29907304267985646,0.29340089862265806,0.27871679647461822,0.2704419064088055,0.26341369940430082,0.25974934989496168,0.25639171956878637,0.25365127684457867,0.24425455313159589,0.22546237196218638,0.21442289461060218,0.17211878829766289,0.17008880041506455,0.16366895270918297,0.11930054213256142,0.1019374567429035,0.078665040924424001,0.05499460282477793,-0.037990285215878286,-0.062506107970281555,-0.1041799505025964,-0.16467099253470743,-0.1726075474376392,-0.19154444498643092,-0.22650028538207559,-0.24750262277167079,-0.29012201604083088,-0.33562674690048933,-0.3963529950838941,-0.45542372755243665,-0.46067034989012162,-0.51361389814664182,-0.51733435929245408,-0.55418167790465622,-0.55507075570937037,-0.55736716998989211,-0.56390513667197162,-0.58986541062956666,-0.59417401588692398,-0.60143163473279371,-0.60639800966892676,-0.61848872475530747,-0.62312943138964494,-0.62697725909282354,-0.63879403072393748,-0.64676225080512284,-0.66277731371771109,-0.66890871958590337,-0.6819284701516356,-0.69177355201405077,-0.69369516173500467,-0.70647676479121235,-0.70750373132127742,-0.70995099001909745,-0.72483010763222222,-0.7359148883036567,-0.7362801072199131,-0.76372414947676559,-0.77283461573886492,-0.78755281480836759,-0.86838368199867644,-0.87564694540847476,-0.87579283783916206,-0.88609109341907522,-0.88725177514360243,-0.89830181429602818,-0.90621475018207931,-0.90976708503773607,-0.92094665122549779,-0.92643886386922358,-0.93042496053439916,-0.93760303844486304,-0.94133567732156398,-0.95499658910416807,-0.96256748366358835,-0.96691109491343741,-0.96901871027209685,-0.98796869982125679,-0.99767428820509785,-1.0047288288008791,-1.0177793439475551,-1.0410794556831018,-1.0412042392468985,-1.0415500806151605,-1.0567266995247382,-1.0619809273696799,-1.0658952590292976,-1.0738341659570863,-1.0761731148660703,-1.082011444374861,-1.0893395171162776,-1.0938014309358095,-1.1035816919500023,-1.1089337224721536,-1.1136114108751274,-1.1155504814354595,-1.1165195001347541,-1.117641728432736,-1.1289997334531618,-1.1358075482887544,-1.1422275829784583,-1.1462420160154481,-1.1489648443111085,-1.1501654711245919,-1.1660939072229628,-1.168720573915967,-1.1695250497260889,-1.1944096491458127,-1.2050167016269857,-1.2077437226898469,-1.2145663319570594,-1.2167596229487341,-1.2173729595254232,-1.2249661518512056,-1.226924362273373,-1.2466857723719549,-1.2519517892296095,-1.2544170432278838,-1.2682234623674062,-1.2843265887217123,-1.2876124776769489,-1.2908575177882389,-1.2968928737278549,-1.3175056404177858,-1.3217858576585251,-1.3411388620901332,-1.3860196115063059,-1.427812149401529,-1.4488512937867171,-1.472205158135276,-1.4808813717001224,-1.4839419577796944,-1.50408952969481,-1.5042572746672642,-1.5295969138658694,-1.5428054760864958,-1.5494250738052526,-1.5541865029910769,-1.5693347479035826,-1.5816520280934419,-1.5833361474192407,-1.5864678166625783,-1.5971593529048236,-1.6044449267167651,-1.6114683537637,-1.6196360576792577,-1.6199681278487532,-1.638753894803286,-1.6429330632986903,-1.6501982587089301,-1.6520013824827138,-1.6566592758351246,-1.6574519888110271,-1.6727290915438457,-1.6812704281118405,-1.6851249654550378,-1.6872710837131217,-1.6950535304056848,-1.7174710179481887,-1.7223990271568552,-1.7278006161704662,-1.7355497463645728,-1.7357607835644082,-1.7392573768805899,-1.7425603588570078,-1.7736295221782037,-1.7776509032419594,-1.7996651061764872,-1.8017941807730731,-1.8036516017087973,-1.8396874242403081,-1.8487177774289207,-1.8558037069768016,-1.8568110305343348,-1.9098295732535759,-1.9105204937685363,-1.9159186899295546,-1.9786954180505478,-1.9939232681351098,-2.0203767140908124,-2.0260088352106895,-2.0540829356259329,-2.0859282429955801,-2.1023113774662354,-2.1064063408598588,-2.1367332829050176,-2.1450484604786246,-2.1701911485639034,-2.1774388800731281,-2.1867476708087277,-2.1898381655552286,-2.2005185537065777,-2.2198173588155052,-2.2233466622607838,-2.2249228970373007,-2.2378759055857751,-2.23891902158381,-2.2391303797392728,-2.2437256074213896,-2.2461555948273948,-2.2476334838231082,-2.2477466590575266,-2.2478558253000021,-2.2478715761577379,-2.2481972347133818,-2.2481729260885404,-2.2478757702227155,-2.2477954007803955,-2.2458822228337301,-2.2450379820638746,-2.2448218589622777,-2.2422008159792393,-2.2362220319733526,-2.2311802588893404,-2.2280684856278827,-2.222766086361081,-2.1723382146665475,-2.1713647108955056,-2.1578911870250019,-2.1398733559448635,-2.1375338952559395,-2.1083195682499971,-2.0978241236457422,-2.0933052698021921,-2.087208452432284,-2.0864972132841411,-2.0489957509634817,-2.0369675630283064,-2.0316355571117,-2.0275036848237593,-2.0009171803597434,-1.9829712152458963,-1.9780530362342097,-1.9436339897408168,-1.9361454189500429,-1.9260980474900553,-1.9167122319342018,-1.8949013967309902,-1.8424300628068719,-1.8365970260967381,-1.8299668613450921,-1.7911362164560825,-1.7565297396964612,-1.744444235476674,-1.7291495711476994,-1.7242157504201088,-1.6991186220488557,-1.6940998512302974,-1.6868566287660238,-1.6759151221636377,-1.6649973303835011,-1.6646222728473965,-1.6530774531743997,-1.6346694794906953,-1.6241466151207036,-1.6141563234785579,-1.6078252491712437,-1.6063732730727549,-1.5883851529989192,-1.5720384050510043,-1.5689116653597832,-1.5526058514139278,-1.5422407673435865,-1.5399416422547452,-1.4974425377480824,-1.4964631824605568,-1.4826941734529633,-1.4701340885930119,-1.4114007751482534,-1.4056869889712313,-1.3819566998551438,-1.3720161096398265,-1.3688200207153209,-1.366300308237796,-1.3592766705648049,-1.3446917833442196,-1.3417130010400034,-1.3332136215751904,-1.3282300006943026,-1.3016246170245682,-1.2899976752603308,-1.2731261812514405,-1.2142185256520979,-1.2084738510891915,-1.182687836269293,-1.1665843139116889,-1.1582736784733352,-1.1317828917598998,-1.1288809142877818,-1.0810788696838725,-1.0767467111524598,-1.0595887039379681,-1.0388103272875506,-1.0371893134083248,-1.035498479237589,-1.0005631803731236,-0.99515598757471202,-0.98087477151423086,-0.96232433291056663,-0.94857580493559501,-0.94121166066177997,-0.93558991689857751,-0.90094220517333068,-0.89706429714083347,-0.85948824222349374,-0.83067874960316823,-0.80889148995326665,-0.8052227757183662,-0.76981809651008037,-0.7665224767576243,-0.7596405810039184,-0.75958288930589224,-0.72230220344809126,-0.71831031614818941,-0.70110948846288723,-0.692937783537388,-0.6858100728788149,-0.6154444136445032,-0.61125216960439788,-0.51242507238237445,-0.45068523692320894,-0.41513104189220085,-0.39171563420065619,-0.38667655672481405,-0.37669962618344882,-0.33937968594638185,-0.32670837172384803,-0.30663484963709886,-0.29271798380457947,-0.28481365481619819,-0.26422383596028604,-0.22935802047397533,-0.22622892183211954,-0.20399151455243514,-0.19573574747084185,-0.18690121791412975,-0.18472898332761281,-0.17681911710693374,-0.085133249063487473,-0.064317498167810142,-0.030128046821844601,-0.012643972779623001,-0.011980581877613979,-0.011758198357106654,-0.0076055626258086304,0.0035930818406048129,0.0045976318168730566,0.051199602623290527,0.093884493394470414,0.095110652409976432,0.10507286353074667,0.12850373158304146,0.14469221703627325,0.15628228883190237,0.17881641037665119,0.18706463081647687,0.22922661075931869,0.23689161752777843,0.25278427723122227,0.26096262418609606,0.28308616325516567,0.28309225076460298,0.2894725226633118,0.29197786192928749,0.29710105357020233,0.30025792645801824,0.30153625981531457,0.305817082352345,0.30588258604211072,0.3117757022287943,0.31471131260245899,0.31534531811060562,0.32074426788348948,0.33147401976997298,0.33256780677818615,0.33477398403321557,0.33773195376289594,0.34249698332364759,0.34324756373116744,0.37411082216708896,0.37684918318559185,0.3771209817547998,0.37803480225792785,0.38144106606608696,0.38163344449107839,0.38277533168671529,0.38407707386156709,0.38487859070055064,0.39602757095704005,0.40367714926522313,0.40497453579315057,0.42146227943541975,0.42321998475450084,0.42409587450152181,0.42450334544823387,0.42736801055015294,0.43578301030179567,0.44433000814072299,0.45484998219200345,0.4548744631445073,0.45553239536098844,0.45943349166752817,0.46142695942489875,0.46218810242399916,0.46307073094603202,0.4662078888795258,0.47044209575389206,0.47142548846885257,0.4721931245599551,0.47364188311766298,0.47461182897431586,0.47543682925232361,0.47643534842266688,0.47668476063795417,0.47704758114925022,0.47721058797378502,0.4771591672593587,0.47704930908168686,0.47702901341518417,0.47694014746307301,0.47631964107689378,0.47594977046966502,0.47184088856292905,0.46689335469822868,0.46389177563422168,0.46298095515931337,0.45963604476288011,0.45583734525220787,0.45517047579796793,0.45380843205521343,0.4527613696556112,0.45174628507657266,0.44315336848636966,0.44124885462832258,0.43613747585968654,0.42410077152606951,0.42094183249919193,0.4209069910097627,0.40691134461841988,0.4068668133059693,0.4004390783117116,0.38750938069463664,0.36985987653240116,0.3693191794957742,0.36795244207950495,0.36628217947015573,0.36606800415637192,0.36574648855045677,0.36126866110861044,0.35491564653212726,0.35012952254232554,0.34328097114215622,0.33641947285216584,0.32932927398172834,0.32866290814724675,0.32707190854214624,0.30520713263089294,0.30515243256183117,0.29919200867534285,0.29654223405429014,0.29409508069771012,0.28338125914065992,0.28323808171783404,0.26695055820776659,0.26365786295644889,0.25301064101174403,0.24799504147451371,0.23081730570751674,0.22217065047069057,0.21754071600600994,0.21666700735489097,0.19737909493686082,0.1906624856533784,0.18949924093531201,0.18207996055650405,0.18156908197940155,0.17899750321571711,0.16441411747265675,0.15418654579364877,0.13856418192949135,0.12067528969589124,0.085884897205732544,0.084428038352380372,0.052619627767366173,-0.010041961507719518,-0.05884697502755875,-0.14098649106316768,-0.16220684670749269,-0.167842096673121,-0.17820662917229868,-0.20706722209530853,-0.20981937918216581,-0.22620064253682395,-0.26820617745516745,-0.27770884164979848,-0.28422870086133956,-0.29167572020913507,-0.30088378727781706,-0.35144171741828534,-0.36021947796816878,-0.3724375144737781,-0.37802807977825459,-0.37880325110476154,-0.40554394033759489,-0.41290750066530324,-0.41886481704080436,-0.43618881759790323,-0.43847404275679547,-0.45071080407965358,-0.4690608743676935,-0.47126033912621956,-0.47378747596558379,-0.49389306403708771,-0.52021875947011276,-0.52733697719123207,-0.53133818950883105,-0.5341944640014944,-0.53672435817103203,-0.53773885810569944,-0.54053095309949528,-0.54669821233810079,-0.56832791398026727,-0.58728751636100363,-0.59462182144431086,-0.5977017941954017,-0.61573417615305059,-0.63961373767452734,-0.6564313890956599,-0.67281482277256432,-0.6782091507166268,-0.71529527629280343,-0.71721257539930416,-0.72354832278675718,-0.74210348716726271,-0.75891509211950137,-0.76115347830768143,-0.77210784382390352,-0.79756696123348725,-0.805722239829196,-0.83940420535504656,-0.84636309359900042,-0.85183734652741405,-0.85823169345989347,-0.86386594274033102,-0.86875939766943788,-0.88340532367860747,-0.88372573809340849,-0.94641519077513059,-0.95101362389890642,-0.96104253813273433,-0.96388212360953052,-0.96968453397080989,-0.97221023030732789,-0.98599594488061215,-1.0009551460002661,-1.0276655378260751,-1.0297502059120653,-1.0773537000551854,-1.0994839056760135,-1.1003061065022923,-1.1159292752491878,-1.1602624695650552,-1.1733673995474669,-1.1785711125596026,-1.1853800479718555,-1.1882317197002874,-1.2088362962407899,-1.2402188340399465,-1.2666256135850573,-1.2794105112292111,-1.2809236337633871,-1.2973430132611092,-1.3942855285521834,-1.3952671048135679,-1.4010935320665867,-1.4207737220588921,-1.4611048284678547,-1.4931380772060292,-1.5085343310184789,-1.52054439738856,-1.5609298185867861,-1.5713489854800253,-1.5724800153142187,-1.6057800778153897,-1.6437248034226062,-1.6466797970782587,-1.6629842351761077,-1.7610534955411912,-1.7772217263016439,-1.8083078324301398,-1.8150813214937105,-1.8245828417452308,-1.8688118633039477,-1.8837470383969948,-1.913281729122956,-1.9511752319748532,-1.9628718794881683,-2.0150453060071443,-2.0648723605843147,-2.1937326334576941,-2.2081369148467189,-2.2234717781180322,-2.2521246799310539,-2.3130551502920311,-2.392142828081155,-2.5033491066837597,-2.5205947803257911,-2.8104533549538209,-2.8149217389361807,-2.8303949014656293,-2.8383820143722378,-2.9087061395101652,-2.9972831630590426,-2.997577139740125,-3.0017040843980558,-3.0607293428528801,-3.0647353545496605,-3.1135440736873594,-3.1423177717928796,-3.2292053513409322,-3.2379517951331795,-3.2528599395849027,-3.25333911945701,-3.294583990888754,-3.3224155553224146,-3.329564473072796,-3.3712258761990048,-3.3794888043965332,-3.4085271541115834,-3.415349485099568,-3.4985700797462829,-3.510263954741391,-3.510657633927579,-3.5125244210893651,-3.5211295244477152,-3.5212319249177,-3.5227321509675598,-3.601578484687161,-3.6507100348900252,-3.7427483557307943,-3.8022735921845139,-3.8091786713749767,-3.822360579789537,-3.8234515148981956,-3.8340356429728186,-3.8345897459270568,-3.8424427369070906,-3.8533707017453578,-3.8572184131399814,-3.8694859733849309,-3.8773253069981508,-3.9517952773114593,-4.0047592675947827,-4.0480993761309332,-4.0566040770608556,-4.0842393081339425,-4.1746068920478852,-4.1761789816596782,-4.206341658931775,-4.2093951162937815],\"text\":\"Lineage:Lineage1\",\"type\":\"scatter3d\",\"mode\":\"lines\",\"line\":{\"width\":6,\"color\":\"#1B9E77\",\"reverscale\":false},\"name\":\"Lineage1\",\"showlegend\":true,\"visible\":true,\"inherit\":true}},\"layout\":{\"margin\":{\"b\":40,\"l\":60,\"t\":25,\"r\":10},\"title\":{\"text\":\"Total (nCells:1000)\",\"font\":{\"size\":16,\"color\":\"black\"},\"y\":0.94999999999999996},\"font\":{\"size\":12,\"color\":\"black\"},\"showlegend\":true,\"legend\":{\"itemsizing\":\"constant\",\"y\":0.5,\"x\":1,\"xanchor\":\"left\",\"alpha\":1},\"scene\":{\"xaxis\":{\"title\":\"StandardpcaUMAP3D_1\",\"range\":[-6.5008796387948093,4.953642970915884]},\"yaxis\":{\"title\":\"StandardpcaUMAP3D_2\",\"range\":[-5.430299611890689,6.5767537633534516]},\"zaxis\":{\"title\":\"StandardpcaUMAP3D_3\",\"range\":[-4.5793383473595606,3.8996264582434668]},\"aspectratio\":{\"x\":1,\"y\":1,\"z\":1}},\"autosize\":false,\"hovermode\":\"closest\"},\"source\":\"A\",\"config\":{\"modeBarButtonsToAdd\":[\"hoverclosest\",\"hovercompare\"],\"showSendToCloud\":false},\"data\":[{\"x\":[-5.6886261636056004,-5.872935169342905,-6.1831148797310886,-5.3833645516671238,-5.4914945298470554,-5.4327911073006687,-5.5798309975899754,-5.9773162537850437,-5.7239893609322605,-4.9453610116280613,-5.35839688122645,-5.3330701524056492,-5.9224170380868015,-5.5498193436898289,-5.919978969696909,-5.3041442567147312,-6.1821497613228855,-5.6242302590645847,-5.2006577187813816,-5.503446930054575,-5.8125513726510105,-5.3745692902840672,-5.2250226670540867,-6.1476582223214207,-5.6930960351265965,-5.7689450913704929,-5.2924097710885105,-5.672373645905405,-5.6623295480050144,-5.9470547372139988,-5.6904171639718113,-5.7528332406319675,-6.2177075082100925,-5.4631804162301121,-5.5754865342415867,-5.7706888848580418,-6.1108916932381687,-5.4041060143746433,-5.4442418748177586,-5.7719706231392918,-6.4100536042489109,-5.6914991074837742,-6.0249489480294285,-5.4014824563302097,-5.2602528268136082,-6.1109894448556004,-5.9845112496651707,-6.0393150979317722,-5.7518080407418308,-5.7148393327035008,-6.0209578210152683,-5.3508690530098972,-5.8466519051827488,-5.1293190652169285,-5.8394626313485203,-6.0309356385506687,-5.3975976640023289,-5.6858676606453953,-5.7005304032601414,-6.0058206254281101,-5.9610012704171238,-5.7542136842049656,-5.5800021821297703,-6.3277510339058933,-6.03074156582728,-5.7518442803658543,-5.3374651604928074,-5.1002482110299168,-5.9069336587227879,-5.6807621651925144,-5.7964295083321629,-6.2621782952584324,-5.3787101441659031,-5.8648399049080906,-5.6811984711922703,-5.3548949891366062,-6.2212966614998875,-5.4770072633065281,-5.3982642823494968,-5.8888567620553074,-5.9591859513558445,-5.4930647546090183,-5.7994507485665379,-5.3392757111825047,-6.3571780854500828,-5.2326768571175633,-5.2379931145943699,-5.8231190377511082,-6.1248058015145359,-6.0432237321175633,-6.0586279565133152,-5.1990746194161472,-5.7977875405587254,-5.6799820596016941,-5.2353085213936863,-5.8318871194161472,-5.2169026070870457,-5.7484263116158543,-5.0677164727486668,-5.508423679474741,-5.7000273400582371,-6.0327304536141453,-6.2344092065133152,-5.5369199448861179,-6.3334220582284031,-6.2132896119393406,-5.7791112595833836,-5.9049895936287937,-5.6211966210640965,-5.0892194443978367,-6.1054814988411961,-5.3443311387337742,-5.7632640534676609,-5.5107792550362644,-5.9925340348519383,-6.0116313630379734,-5.4791096383370457,-5.3072446519173679,-5.5963596040047703,-5.4898661309517918,-5.9866064721383152,-5.5977681809701023,-6.0059684449471531,-5.9642866784371433,-5.2662986451424656,-5.7654126817025242,-5.0087841683663425,-5.4355901414193211,-5.6280082398690281,-5.3360952073372898,-5.5685132676400242,-6.0200279885567722,-5.3996018105782566,-5.3638433152474461,-5.9462650948800144,-6.0231627160347996,-5.7078756028451023,-5.3460568124093113,-5.3954003983773289,-5.3247002297677097,-5.1755126649178562,-5.0755652123726902,-5.8730138474740086,-5.2855743104256687,-5.8428872758187351,-5.8968070679940281,-5.6920345956124363,-4.472365968827158,-5.5271786385811863,-6.0224155122078953,-4.9960721665658054,-5.2678822213448582,-5.5907281571663914,-5.6040223771370945,-5.5447462731637058,-5.2768815690316258,-5.6282089883126316,-5.5163015061654148,-5.6191514664925633,-5.7415689164437351,-5.2534431153573093,-6.0725492173470554,-5.4860662156380711,-5.8056019479073582,-5.3344272309578953,-5.4571069413460789,-5.1797989541329441,-5.3959749871529636,-5.925296180848032,-5.6979926759041843,-6.0896280938424168,-6.4130009347237644,-5.9415091210640965,-5.5412248307503758,-5.2964433366097508,-5.5755661660470066,-5.8213099175728855,-6.1728409463204441,-5.6546972924508152,-5.5775760346688328,-5.4664224320687351,-5.6370757752694187,-5.3552411729134617,-6.0912598305977879,-5.6369341546334324,-5.7004131013192234,-5.8644889527596531,-5.7232388192452488,-5.2029036217965183,-5.2785514527596531,-5.2538922959603367,-6.25950133145228,-5.8988321954049168,-5.4856384927071629,-5.2093313866890965,-5.3409093552865086,-6.0478628808297215,-6.3964275056160984,-5.4763725930489597,-5.7636789017952976,-5.1860245400704441,-5.1791127854622898,-6.0973647767342625,-5.7025231057442722,-5.3414553338326511,-5.8377684289254246,-5.7322076493538914,-5.9279640847481785,-5.7661789590157566,-5.8282102280892429,-5.0930021935738621,-5.9298237496651707,-5.3608812028206883,-5.6868876153267918,-6.0093773537911472,-5.3116773301400242,-5.5967267686165867,-5.8418825799264011,-5.6537359887398777,-5.0288318330086765,-5.9399326974190769,-5.858338230255991,-5.0883473092354832,-6.0411423379220066,-5.8218725854195652,-6.5008796387948093,-5.3025659257210789,-6.0911062890328465,-5.4109014207161961,-5.2523106271065769,-5.1373242074288425,-5.7402013474740086,-5.9681919747628269,-5.4591568642891941,-6.054481857422739,-5.5244868928231297,-5.4960130387581883,-5.8595412904061375,-5.3156188660897312],\"y\":[-2.4239424188975245,-1.060248257720843,-0.0031989534739405023,0.82002225319109856,-1.9023222645167261,-0.07431981166638435,-0.24890917738713325,-0.72892709089256824,-2.6646362264994532,-1.6714509447459132,-0.90599982639588417,-2.3076520880106837,0.90666511455737053,0.78360476890765129,-0.0071892460230738031,1.0902816335316747,0.10975864330492913,-1.4930325468424708,-1.6865774711016566,-2.5282889326456934,0.2322489897366613,0.4737764875050634,-2.3206523378733546,0.040917066728696216,-1.8718527277354151,-1.0547011216524989,-2.5049843510035426,0.58263471523486077,-0.33809483250416816,-0.0042112191561609613,1.3101433793660253,-2.5156374891642481,-0.66058179190196098,-1.4961245973948389,-2.3944978435877711,-0.52450566192902626,-0.37305695017613472,-2.5921070297602564,-2.5512525757197291,-2.8423815687540919,-0.22580784758366645,-2.1058399399165064,0.032660750543698658,-1.5147729237917811,-2.7303775270823389,-0.18605199655331672,-0.75979690825380386,-0.47790557345189155,0.37111750045977532,-1.2477879842165858,0.24557277361117302,-2.534595580900088,-0.97541529139317573,-2.9255004843119532,1.2918585816975683,-1.7989293058756739,-2.089099975431338,-0.6945296322349459,-0.55396698614396156,1.0733109990712255,0.79236331382952629,0.90493681827746331,0.96703484455309807,0.43656936088763176,-1.2767833789233118,-2.3413816412333399,-2.3667430599574,-3.4312649687174708,0.73083033958636223,-2.3397497852686793,-2.555000158155337,-0.081854196393862377,-2.6187299211863428,-0.81959226926602424,-2.2445436437968165,-2.1371415575388819,-0.63256122370995582,-0.86869067152775825,-1.3599250038508326,-0.89102895756997169,-0.5421614368800074,-1.2548774202708155,-0.303394796455279,-1.8503794391993433,-0.25962552627362312,-2.3545452078226954,-2.9843977411631495,0.4603710452672094,-0.60679900100268425,0.77471056381426751,-0.49307361444272102,-2.3902754505518824,-0.57716794511117042,1.0069606582280248,-2.7188754995707423,0.4815432111378759,-1.6154571493510157,-2.5282175262812525,-2.2374744137171656,-0.74580705364979805,0.63541057506762444,-0.041548641527071606,0.584676412736997,-0.47898596724309028,-0.063820513093844067,-0.85163870652951301,-1.6689185818079859,-1.208278807008639,0.16766300598345696,-3.1717403849009425,-0.51668662031926216,-2.2253373583201319,1.1124904433842748,-2.0713031013850123,0.68430438438616692,-0.44561726053990425,-1.7000657041911036,-2.6961437185648829,-2.6139056404475123,-2.5415188988093287,-0.46387927433289589,0.58100822368822991,-0.52378004988469185,0.30252352157793938,-3.302570434415713,-0.19752535423077644,-1.6426285227183253,-1.2037187536600977,-2.6689614971522242,-0.59392323544062675,-2.485010357702151,-0.55357498129643501,-1.966421695554629,1.1090861837025732,-0.28003990849293769,0.32085719505511223,-1.5454110821131617,-1.7415537556055933,-1.4735290130022913,-2.5246780832652003,-2.1143266876582056,0.45906033912859856,-0.46734926303662361,-3.1791225393656641,-0.26577314933575691,-1.6685838421229273,1.3025166074391454,2.9335071126576513,0.5133655349370092,-0.51868814429081977,-1.7872458418253809,1.5110184232350439,-1.2300030310992152,-1.2066546698454768,-2.6143294294718653,-2.6177423914317042,-1.0108128507975489,-0.79877247860468925,-0.31409719785489143,-1.3025124987009913,-2.3140825947169215,0.41521671215258538,-2.2987181862238795,-1.0797995050791651,-1.9105398376826197,0.51899733940325676,-1.5136269052866846,0.45066287914477288,-0.091579588258638989,-1.3130245526675135,0.11476179758273064,-0.18845281204022468,-1.0779137929324061,-2.3972980697993189,-1.8019695003870875,-2.9782463034037501,-1.0323364158514887,0.30194666782580315,-0.17712667783536018,-0.47259341379441322,-2.5780229290369898,-1.6972892006281763,-2.4918985088709742,-0.4765626957062632,0.59758129516802727,-0.057403357828035961,-0.93062654336728157,-1.2473947127703577,-1.5495269616488367,-2.4978031834010035,-2.0420862158183009,0.33577218452654778,-0.76057930489815773,-0.41820094188489021,-3.3232058008555323,-2.5770795067194849,-0.31931096514500679,-0.036010058725252758,-2.9598692377451807,-0.38724771341122688,-2.281199904287234,-3.4103980978373438,-0.40766781767643989,-2.5683570822123438,-2.4603950699213892,0.18474444547854363,-2.422739358747378,-0.80372051348723472,1.1226489822026342,-0.78446293076314033,-1.7862660606745631,-1.0091382583025843,-2.5390444715861231,-1.2197047789935023,-0.56570275327004493,-2.8032799681071192,0.88983025947771965,-1.3213318904284388,-0.76926513587869705,2.0702642480488866,-0.63595286955870689,-0.9315751661900431,1.6518577615376562,-0.25433305105008186,-0.59171976348198951,-0.027807446325197827,-2.6738413294199854,-0.7417087220940739,-2.4503285606745631,-3.294992776716128,-3.1253803690318018,-1.1817605515364558,-0.50720545848645271,-2.705123277509585,0.035058585798367847,-1.6979959925059229,-2.0426032265070826,-1.8615666349772364,-1.9412618597391993],\"z\":[1.7209126597205178,2.527021372870542,-1.1616564149102195,-1.8559828156670555,3.2410707121649756,-1.0455540770730003,-1.7735357636651023,-1.9872184151848777,1.5473641997138039,2.6814934855261816,-1.3942010754784568,-0.33500662986841051,-0.84139434043969952,-2.0481994504174219,0.22023350949678572,-2.3228574151238428,-0.56737945024576031,0.837201023654081,2.9908573275366797,1.9862050658026711,-0.17170277778711168,-1.7915833348473533,2.4751481657782568,-0.87906924430932842,3.3997888212958349,-1.3295537585457786,2.2881769781867041,-2.3060582036217676,-0.78535715286340557,-1.2004583234032615,-1.6618275994500145,1.5621211176672951,-2.1065354699334131,3.0720355158606543,0.94232525880727924,-1.849751507683657,-2.0330062264641748,2.0160249119559301,0.14952222462091597,1.6737135296622292,-0.94935015384759747,0.74750124867353596,-0.94834426586236797,3.1389162188330664,0.32490608300361784,-1.1544330472191795,1.0214734321394936,0.88445487077627338,-0.29914370719995348,-1.0816707963189109,-0.32863870803918688,-0.092906569882296008,0.74785491283331074,0.18445610459242018,-1.2093589657982811,3.7233423834601416,-0.49340949003305284,0.059543306187726575,-1.8433957452019676,-1.2986466044625267,-0.88790789787378155,-2.02537015621271,-1.6897497529229148,-1.2289797419747337,3.3604943400183691,1.3127427345076577,1.3196410780707375,1.1913472061911599,-1.9469058865746482,1.0154487734595314,1.4312659149924294,-1.6040673608025535,0.12375443632993849,-1.4128768796166404,0.77422132547292866,2.6971456652441992,-2.036694561882876,-1.0017899626931175,2.8106479292670263,0.7931694930354134,0.098663741902448254,-1.1353292817315086,-2.2370138520440088,-0.73369005863275372,-0.45105413143243639,1.4027789479056374,1.7184003239432351,-1.1653086299141868,-2.2032118195733057,-1.7908523434838279,-2.1815410012444483,2.2979336624899878,-0.360995268269442,-1.2482587451180442,2.0755170231619848,-1.052843605919741,2.9087946062842382,1.6430362110892311,2.6027874594489111,-1.3492400998314842,-1.486954843445681,-0.14174357597436754,-0.75427452270593487,-1.2737386578759178,-1.6466327065667137,-1.8502304906090721,3.4627344256201757,3.0283591395178808,-0.77350369636621319,0.82426616008672871,1.0397622233191506,-0.52546677534189068,-1.7740826958855613,3.1895594244757666,-0.73427704517450176,-2.2196486348351465,-0.46725687925424425,-0.08763489667978136,1.7370013838568703,0.55308466608915485,-0.35568419639673082,-2.3364601487359034,0.90753599460516132,-1.1180763596734031,1.2952232008734719,0.043047363118268567,2.8571991568366064,-1.0320638770302757,1.3689778691092507,-1.3047206753930076,1.1861673241415993,0.96773936803732075,-0.61603239719476544,-2.2865541333397852,0.47733135725650938,-0.85122517292108379,3.5315065031806006,2.8295335417548193,2.813250506476499,-0.17830512468423693,2.5517861491004004,-1.9490778798302635,-2.0694294327935205,1.0883080011168496,0.24303577299509199,3.4216956740180029,-1.4250539893349632,-2.2967899197777735,-1.7053244466027244,0.61508458311948933,2.6585242396155371,-1.7592449540337547,2.296513879851438,-1.2292689437111839,0.8907671218672768,-0.10765579883661119,-1.2360688800057396,-0.86720553581323467,-1.7001874798974022,-1.2176562899788841,-0.45528093521203844,-0.068795179768465442,0.24904445763025435,0.6631188338557259,2.2579960470953955,-1.4042799824913963,2.7577550059119238,-2.0003671998223291,0.18651787395868452,0.43843322451505812,-0.33383670990075914,-0.53754291479196392,2.773108208731748,0.54893437977228321,3.0268418436804785,1.4449412470618264,1.4355934506217018,-0.21482173149194567,-0.17167637292947618,-0.21886805240716783,0.57198853249941028,3.2400831824103369,-0.13236359302606432,-0.18778732959832994,-1.7135117406090721,-1.4591155404290184,-1.2075527066430076,-1.2754156941613182,2.884389365271665,2.0701118355551733,2.5993244295874609,-1.3153759593209251,0.87915643508825458,-1.0798709744652732,1.667353714064695,0.037134016112424451,-0.90237275306787335,-1.1737389916619285,1.7570126896658913,0.02872138674650343,2.4830815439978613,1.1477381830969826,-0.53395435754861675,1.2779807096282021,1.2107753997603432,-2.2431216592034326,1.6426313763419167,-1.9241636151513084,-1.3984380120476707,0.19010824914369734,2.7292859202185644,2.4331793432990088,-0.075243359251879138,-0.75211945716943585,0.86275687272939838,1.3238997703352944,-2.0534053200921045,3.2318439131537451,-0.60239753667917095,-2.0540738457879053,-1.4164207333764061,0.66361799295339741,-2.2756264561852442,-0.42767701093759386,-1.2472914809426292,-1.4120872372826561,0.075430149392224866,-1.9588947648247703,1.6331224089423195,1.5138283615866677,0.72607460077200092,0.54873485322389759,0.79618325288686909,1.1803533678809182,0.071157509640790539,3.2758783942023291,0.077136183337308484,3.4548844939032568,2.9304322844306006],\"text\":[\"Cell:CAGCCGAAGCGATATA
group.by:Ductal
color:Ductal\",\"Cell:CGGAGCTCATTGGGCC
group.by:Ductal
color:Ductal\",\"Cell:AGAGCTTGTGTGACCC
group.by:Ductal
color:Ductal\",\"Cell:ACGGCCACACGTGAGA
group.by:Ductal
color:Ductal\",\"Cell:AAAGCAACACGGTAAG
group.by:Ductal
color:Ductal\",\"Cell:CACTCCACATATGGTC
group.by:Ductal
color:Ductal\",\"Cell:ACGGGTCTCTATCGCC
group.by:Ductal
color:Ductal\",\"Cell:GCAGTTATCTTGAGAC
group.by:Ductal
color:Ductal\",\"Cell:CAGAATCCACGCATCG
group.by:Ductal
color:Ductal\",\"Cell:AGAGCGAGTTGGACCC
group.by:Ductal
color:Ductal\",\"Cell:TGGCGCAAGAAGATTC
group.by:Ductal
color:Ductal\",\"Cell:GTGCATACAATAGCAA
group.by:Ductal
color:Ductal\",\"Cell:AGCTCTCTCAACACGT
group.by:Ductal
color:Ductal\",\"Cell:ACGAGCCGTGACTACT
group.by:Ductal
color:Ductal\",\"Cell:TAAGTGCAGGGTTTCT
group.by:Ductal
color:Ductal\",\"Cell:CGGACTGAGGTAGCTG
group.by:Ductal
color:Ductal\",\"Cell:AGGCCACCACCTATCC
group.by:Ductal
color:Ductal\",\"Cell:CATATGGCATGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:ATCATCTTCTGTCAAG
group.by:Ductal
color:Ductal\",\"Cell:GTCAAGTGTGGTCCGT
group.by:Ductal
color:Ductal\",\"Cell:TTTGTCAGTTGTTTGG
group.by:Ductal
color:Ductal\",\"Cell:TTAGGACAGCTAAGAT
group.by:Ductal
color:Ductal\",\"Cell:AGCAGCCCAGGAATGC
group.by:Ductal
color:Ductal\",\"Cell:TGGCCAGCACGAAAGC
group.by:Ductal
color:Ductal\",\"Cell:TGGCGCACAATGTTGC
group.by:Ductal
color:Ductal\",\"Cell:CGTGTCTTCTTGTCAT
group.by:Ductal
color:Ductal\",\"Cell:CCTAAAGTCATGCAAC
group.by:Ductal
color:Ductal\",\"Cell:GAAATGACACATGACT
group.by:Ductal
color:Ductal\",\"Cell:ACTGAGTAGGCTAGGT
group.by:Ductal
color:Ductal\",\"Cell:GTTCTCGCAGCTGGCT
group.by:Ductal
color:Ductal\",\"Cell:ACTGAACAGCCTCGTG
group.by:Ductal
color:Ductal\",\"Cell:TTAACTCGTCCGAACC
group.by:Ductal
color:Ductal\",\"Cell:TCCCGATGTAAGTGTA
group.by:Ductal
color:Ductal\",\"Cell:GATCGCGAGCTGAACG
group.by:Ductal
color:Ductal\",\"Cell:ACCGTAATCTATCCCG
group.by:Ductal
color:Ductal\",\"Cell:GAACGGATCACAACGT
group.by:Ductal
color:Ductal\",\"Cell:CAGCTAACAACACGCC
group.by:Ductal
color:Ductal\",\"Cell:CAGATCATCTCGATGA
group.by:Ductal
color:Ductal\",\"Cell:GCGCCAAAGAGGTTAT
group.by:Ductal
color:Ductal\",\"Cell:GTAACTGTCAGTGCAT
group.by:Ductal
color:Ductal\",\"Cell:GATGAAAAGACAGACC
group.by:Ductal
color:Ductal\",\"Cell:AACTTTCGTGGTCCGT
group.by:Ductal
color:Ductal\",\"Cell:TCGTACCCATATACGC
group.by:Ductal
color:Ductal\",\"Cell:TGGTTCCGTTGATTCG
group.by:Ductal
color:Ductal\",\"Cell:ACGTCAACAGACAAAT
group.by:Ductal
color:Ductal\",\"Cell:CTTTGCGGTACTTGAC
group.by:Ductal
color:Ductal\",\"Cell:GGAACTTGTCGAACAG
group.by:Ductal
color:Ductal\",\"Cell:GAGGTGATCTAGCACA
group.by:Ductal
color:Ductal\",\"Cell:CGTAGCGTCACTATTC
group.by:Ductal
color:Ductal\",\"Cell:AAACGGGCACTGTGTA
group.by:Ductal
color:Ductal\",\"Cell:CGTTCTGTCCGCGGTA
group.by:Ductal
color:Ductal\",\"Cell:ACTGATGAGTGCAAGC
group.by:Ductal
color:Ductal\",\"Cell:GAGTCCGCAATTGCTG
group.by:Ductal
color:Ductal\",\"Cell:TTTCCTCTCTGAAAGA
group.by:Ductal
color:Ductal\",\"Cell:GTCATTTGTCTCAACA
group.by:Ductal
color:Ductal\",\"Cell:GACTAACCACTCGACG
group.by:Ductal
color:Ductal\",\"Cell:GAATAAGTCTGATACG
group.by:Ductal
color:Ductal\",\"Cell:CAGGTGCAGACTTGAA
group.by:Ductal
color:Ductal\",\"Cell:GAGGTGAAGCTACCTA
group.by:Ductal
color:Ductal\",\"Cell:TGGCGCAGTGTATGGG
group.by:Ductal
color:Ductal\",\"Cell:GTCTTCGTCCTACAGA
group.by:Ductal
color:Ductal\",\"Cell:TGCCCTACAATCACAC
group.by:Ductal
color:Ductal\",\"Cell:TCACAAGAGCCACTAT
group.by:Ductal
color:Ductal\",\"Cell:TGGTTCCAGGAATGGA
group.by:Ductal
color:Ductal\",\"Cell:GATCGCGTCTGGAGCC
group.by:Ductal
color:Ductal\",\"Cell:CCGTACTGTTACTGAC
group.by:Ductal
color:Ductal\",\"Cell:TCAACGACACCATCCT
group.by:Ductal
color:Ductal\",\"Cell:CGTCCATCATGGTAGG
group.by:Ductal
color:Ductal\",\"Cell:CTAGCCTGTGCGATAG
group.by:Ductal
color:Ductal\",\"Cell:GACCAATGTACGAAAT
group.by:Ductal
color:Ductal\",\"Cell:GTATTCTTCAGGTAAA
group.by:Ductal
color:Ductal\",\"Cell:TACCTATGTAACGTTC
group.by:Ductal
color:Ductal\",\"Cell:CCAGCGACAGCGATCC
group.by:Ductal
color:Ductal\",\"Cell:CGCTGGACATCCTAGA
group.by:Ductal
color:Ductal\",\"Cell:ACTGTCCAGGTTCCTA
group.by:Ductal
color:Ductal\",\"Cell:CCACGGAGTCTTGATG
group.by:Ductal
color:Ductal\",\"Cell:AGATTGCCACCAGGCT
group.by:Ductal
color:Ductal\",\"Cell:CACCAGGGTACCTACA
group.by:Ductal
color:Ductal\",\"Cell:GAATGAACAGCCTTGG
group.by:Ductal
color:Ductal\",\"Cell:CGCTGGAAGGGCATGT
group.by:Ductal
color:Ductal\",\"Cell:TAAACCGCATTCCTCG
group.by:Ductal
color:Ductal\",\"Cell:CACAGTAGTTCCTCCA
group.by:Ductal
color:Ductal\",\"Cell:TCGCGAGCACACATGT
group.by:Ductal
color:Ductal\",\"Cell:ACGGCCACACGCTTTC
group.by:Ductal
color:Ductal\",\"Cell:TGAGGGACAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:CAGCGACCACAGGAGT
group.by:Ductal
color:Ductal\",\"Cell:GGACAGATCCTGCAGG
group.by:Ductal
color:Ductal\",\"Cell:AACTTTCCACTGCCAG
group.by:Ductal
color:Ductal\",\"Cell:TGCACCTAGTACGCGA
group.by:Ductal
color:Ductal\",\"Cell:GAACGGACAAGGTGTG
group.by:Ductal
color:Ductal\",\"Cell:CGAGCACTCTACCTGC
group.by:Ductal
color:Ductal\",\"Cell:CATCGAAAGATGTTAG
group.by:Ductal
color:Ductal\",\"Cell:ACTTTCAAGGATATAC
group.by:Ductal
color:Ductal\",\"Cell:GATCAGTGTATAATGG
group.by:Ductal
color:Ductal\",\"Cell:AGCGTATCAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:CGAATGTAGTTCCACA
group.by:Ductal
color:Ductal\",\"Cell:AGCTTGATCTGACCTC
group.by:Ductal
color:Ductal\",\"Cell:CCGTACTGTTCCACTC
group.by:Ductal
color:Ductal\",\"Cell:CTTACCGCAAAGTCAA
group.by:Ductal
color:Ductal\",\"Cell:CGGTTAATCGTCTGAA
group.by:Ductal
color:Ductal\",\"Cell:CTCGTCATCGGTCTAA
group.by:Ductal
color:Ductal\",\"Cell:ATCATCTAGTGATCGG
group.by:Ductal
color:Ductal\",\"Cell:GAGGTGAGTGACAAAT
group.by:Ductal
color:Ductal\",\"Cell:TCTTTCCGTTATGTGC
group.by:Ductal
color:Ductal\",\"Cell:CCCAGTTAGGTGCTAG
group.by:Ductal
color:Ductal\",\"Cell:GAATGAACAATCGAAA
group.by:Ductal
color:Ductal\",\"Cell:GACTACACATATGAGA
group.by:Ductal
color:Ductal\",\"Cell:GTGCTTCTCCAAACTG
group.by:Ductal
color:Ductal\",\"Cell:GCTCCTAGTCGGGTCT
group.by:Ductal
color:Ductal\",\"Cell:CGTGAGCAGTCTCAAC
group.by:Ductal
color:Ductal\",\"Cell:ACGCCAGGTTCTGAAC
group.by:Ductal
color:Ductal\",\"Cell:GGACGTCCAGTATCTG
group.by:Ductal
color:Ductal\",\"Cell:TGACTAGCACGGTGTC
group.by:Ductal
color:Ductal\",\"Cell:CTCGAGGTCAACTCTT
group.by:Ductal
color:Ductal\",\"Cell:AACTCTTAGCTGCGAA
group.by:Ductal
color:Ductal\",\"Cell:CGTGTCTGTAGTGAAT
group.by:Ductal
color:Ductal\",\"Cell:ATCCGAACACGGTAGA
group.by:Ductal
color:Ductal\",\"Cell:TACGGGCAGATTACCC
group.by:Ductal
color:Ductal\",\"Cell:GCGCAGTGTCCTAGCG
group.by:Ductal
color:Ductal\",\"Cell:GTGCATAAGAATGTTG
group.by:Ductal
color:Ductal\",\"Cell:GGACATTAGAAACCAT
group.by:Ductal
color:Ductal\",\"Cell:CATGACACATCCGCGA
group.by:Ductal
color:Ductal\",\"Cell:ACGGGTCAGGGTGTTG
group.by:Ductal
color:Ductal\",\"Cell:ACTGTCCGTGCGATAG
group.by:Ductal
color:Ductal\",\"Cell:AACTCAGTCTGGTTCC
group.by:Ductal
color:Ductal\",\"Cell:TGCGGGTTCTCAAACG
group.by:Ductal
color:Ductal\",\"Cell:CAGCCGAAGTAGGTGC
group.by:Ductal
color:Ductal\",\"Cell:GCTGCAGCAATCCAAC
group.by:Ductal
color:Ductal\",\"Cell:CGCTTCATCAGTTCGA
group.by:Ductal
color:Ductal\",\"Cell:GATCTAGGTGCCTTGG
group.by:Ductal
color:Ductal\",\"Cell:TTGGCAATCGAACGGA
group.by:Ductal
color:Ductal\",\"Cell:CATCGAAGTTACGCGC
group.by:Ductal
color:Ductal\",\"Cell:GTCAAGTCAAAGTGCG
group.by:Ductal
color:Ductal\",\"Cell:GGGAATGCACATTTCT
group.by:Ductal
color:Ductal\",\"Cell:CAGCTAAAGAGCCCAA
group.by:Ductal
color:Ductal\",\"Cell:GTGCAGCGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:AACGTTGCATGGGACA
group.by:Ductal
color:Ductal\",\"Cell:TCGCGAGTCAACGCTA
group.by:Ductal
color:Ductal\",\"Cell:CGAACATTCACAAACC
group.by:Ductal
color:Ductal\",\"Cell:TCTATTGTCACATAGC
group.by:Ductal
color:Ductal\",\"Cell:TGAGCATTCGGGAGTA
group.by:Ductal
color:Ductal\",\"Cell:TTGTAGGCATACTCTT
group.by:Ductal
color:Ductal\",\"Cell:GTAACGTGTCACTGGC
group.by:Ductal
color:Ductal\",\"Cell:GGTGCGTGTCCGAGTC
group.by:Ductal
color:Ductal\",\"Cell:CCTTCCCCAAAGTGCG
group.by:Ductal
color:Ductal\",\"Cell:CTGATAGAGCTCAACT
group.by:Ductal
color:Ductal\",\"Cell:GTTCATTAGGGTCTCC
group.by:Ductal
color:Ductal\",\"Cell:CCAATCCAGAGTAAGG
group.by:Ductal
color:Ductal\",\"Cell:GCTCCTATCTCACATT
group.by:Ductal
color:Ductal\",\"Cell:CTACCCAGTCAAACTC
group.by:Ductal
color:Ductal\",\"Cell:TGGCCAGAGCTACCTA
group.by:Ductal
color:Ductal\",\"Cell:CGATTGAAGTCTTGCA
group.by:Ductal
color:Ductal\",\"Cell:TTCGGTCGTCACAAGG
group.by:Ductal
color:Ductal\",\"Cell:GTCTCGTCACGTGAGA
group.by:Ductal
color:Ductal\",\"Cell:AGAGCTTGTTAAAGAC
group.by:Ductal
color:Ductal\",\"Cell:GCTCTGTTCGCTTAGA
group.by:Ductal
color:Ductal\",\"Cell:CTGATCCTCAGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:CACAGTATCTTAGAGC
group.by:Ductal
color:Ductal\",\"Cell:TTAGGCAGTAGCGTAG
group.by:Ductal
color:Ductal\",\"Cell:ACTGAACAGTACATGA
group.by:Ductal
color:Ductal\",\"Cell:GGAAAGCGTACGCACC
group.by:Ductal
color:Ductal\",\"Cell:CCCTCCTGTCTAACGT
group.by:Ductal
color:Ductal\",\"Cell:GCTGCTTGTCTTCAAG
group.by:Ductal
color:Ductal\",\"Cell:ATAAGAGTCCACGTTC
group.by:Ductal
color:Ductal\",\"Cell:CACCACTGTCGGCTCA
group.by:Ductal
color:Ductal\",\"Cell:ACGAGCCCACTCTGTC
group.by:Ductal
color:Ductal\",\"Cell:CACAGTATCAGAGGTG
group.by:Ductal
color:Ductal\",\"Cell:TTGAACGGTGATGCCC
group.by:Ductal
color:Ductal\",\"Cell:ATCATGGTCCAGAGGA
group.by:Ductal
color:Ductal\",\"Cell:AGCTTGACAGTAAGAT
group.by:Ductal
color:Ductal\",\"Cell:CGTCACTGTCAGGACA
group.by:Ductal
color:Ductal\",\"Cell:CGGAGCTGTTCTGAAC
group.by:Ductal
color:Ductal\",\"Cell:CAACTAGAGCTTCGCG
group.by:Ductal
color:Ductal\",\"Cell:GGAAAGCGTCTTGATG
group.by:Ductal
color:Ductal\",\"Cell:CATCCACAGTCACGCC
group.by:Ductal
color:Ductal\",\"Cell:TCAGGTACACTGTCGG
group.by:Ductal
color:Ductal\",\"Cell:GGGCATCCATGACATC
group.by:Ductal
color:Ductal\",\"Cell:GACGCGTCATTTCAGG
group.by:Ductal
color:Ductal\",\"Cell:ATTGGTGTCCAGTATG
group.by:Ductal
color:Ductal\",\"Cell:GGGCACTTCTAACTGG
group.by:Ductal
color:Ductal\",\"Cell:TTCTCAACAGTTTACG
group.by:Ductal
color:Ductal\",\"Cell:GGAATAACACGACGAA
group.by:Ductal
color:Ductal\",\"Cell:CGTTAGAAGTATCTCG
group.by:Ductal
color:Ductal\",\"Cell:CCTATTACAAACGTGG
group.by:Ductal
color:Ductal\",\"Cell:AGATTGCAGCTAGTCT
group.by:Ductal
color:Ductal\",\"Cell:ATTGGTGGTACTTGAC
group.by:Ductal
color:Ductal\",\"Cell:CTCAGAATCTGGCGAC
group.by:Ductal
color:Ductal\",\"Cell:CAGCCGAAGTGACTCT
group.by:Ductal
color:Ductal\",\"Cell:GAATGAATCTGGTATG
group.by:Ductal
color:Ductal\",\"Cell:CATGCCTAGCGATGAC
group.by:Ductal
color:Ductal\",\"Cell:CTCAGAATCAACACTG
group.by:Ductal
color:Ductal\",\"Cell:AGAGCGAAGTAGATGT
group.by:Ductal
color:Ductal\",\"Cell:CTAGCCTGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:AACTGGTTCGTGACAT
group.by:Ductal
color:Ductal\",\"Cell:ACTGAGTGTTTCGCTC
group.by:Ductal
color:Ductal\",\"Cell:AGAGCGATCTCTTGAT
group.by:Ductal
color:Ductal\",\"Cell:GAAGCAGTCAAGGCTT
group.by:Ductal
color:Ductal\",\"Cell:CACACTCAGGCGCTCT
group.by:Ductal
color:Ductal\",\"Cell:TTTATGCTCCATTCTA
group.by:Ductal
color:Ductal\",\"Cell:GACGTGCTCCTCTAGC
group.by:Ductal
color:Ductal\",\"Cell:TTAACTCCAAAGAATC
group.by:Ductal
color:Ductal\",\"Cell:CGTGTAATCCATGCTC
group.by:Ductal
color:Ductal\",\"Cell:CTCGTACGTTCCGTCT
group.by:Ductal
color:Ductal\",\"Cell:CACACAACACACTGCG
group.by:Ductal
color:Ductal\",\"Cell:CATCCACTCTTCTGGC
group.by:Ductal
color:Ductal\",\"Cell:CTCGTACCAATGGATA
group.by:Ductal
color:Ductal\",\"Cell:TGTGGTACAAGACGTG
group.by:Ductal
color:Ductal\",\"Cell:AATCGGTCATGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:TCTGAGATCGTAGGTT
group.by:Ductal
color:Ductal\",\"Cell:CCTAGCTCAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:CTGATAGTCGGCTACG
group.by:Ductal
color:Ductal\",\"Cell:CGAGCACGTCCATCCT
group.by:Ductal
color:Ductal\",\"Cell:TGCTGCTGTCCGTCAG
group.by:Ductal
color:Ductal\",\"Cell:TATCAGGGTCGAATCT
group.by:Ductal
color:Ductal\",\"Cell:CGTCACTCAAAGGTGC
group.by:Ductal
color:Ductal\",\"Cell:CGTGTCTTCCTTTCGG
group.by:Ductal
color:Ductal\",\"Cell:CATCAGAGTCCGAATT
group.by:Ductal
color:Ductal\",\"Cell:GCGCCAATCGGACAAG
group.by:Ductal
color:Ductal\",\"Cell:ATTGGACAGTCAAGGC
group.by:Ductal
color:Ductal\",\"Cell:TCTGGAATCGGTGTCG
group.by:Ductal
color:Ductal\",\"Cell:GACGTTAAGACGCAAC
group.by:Ductal
color:Ductal\",\"Cell:CCACGGAGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:CCATTCGCATGAAGTA
group.by:Ductal
color:Ductal\",\"Cell:GCGCAGTCACCATCCT
group.by:Ductal
color:Ductal\",\"Cell:TAGTTGGGTACCGTAT
group.by:Ductal
color:Ductal\",\"Cell:GGAAAGCTCTCGGACG
group.by:Ductal
color:Ductal\",\"Cell:GTGTGCGTCTCTGAGA
group.by:Ductal
color:Ductal\",\"Cell:ACGTCAACACGGTGTC
group.by:Ductal
color:Ductal\",\"Cell:TGTATTCCAATGACCT
group.by:Ductal
color:Ductal\",\"Cell:GATCGTAGTCCTAGCG
group.by:Ductal
color:Ductal\",\"Cell:AACTGGTGTACAGTGG
group.by:Ductal
color:Ductal\",\"Cell:TAAACCGAGTCGTACT
group.by:Ductal
color:Ductal\",\"Cell:CGTAGGCTCGCGCCAA
group.by:Ductal
color:Ductal\",\"Cell:ATTCTACTCAGGTAAA
group.by:Ductal
color:Ductal\",\"Cell:CTGATCCCAAGCGTAG
group.by:Ductal
color:Ductal\",\"Cell:AGCCTAAAGCCCAACC
group.by:Ductal
color:Ductal\",\"Cell:CAACCAATCGGGAGTA
group.by:Ductal
color:Ductal\",\"Cell:TGTCCCATCTTGACGA
group.by:Ductal
color:Ductal\",\"Cell:ATAAGAGTCCGAACGC
group.by:Ductal
color:Ductal\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":\"rgba(166,206,227,1)\",\"size\":1.5,\"line\":{\"color\":\"rgba(166,206,227,1)\"}},\"showlegend\":true,\"visible\":true,\"name\":\"Ductal\",\"textfont\":{\"color\":\"rgba(166,206,227,1)\"},\"error_y\":{\"color\":\"rgba(166,206,227,1)\"},\"error_x\":{\"color\":\"rgba(166,206,227,1)\"},\"line\":{\"color\":\"rgba(166,206,227,1)\"},\"frame\":null},{\"x\":[-5.3666280442513523,-5.1829670602120457,-5.3985317879952488,-5.9616588288582859,-4.206093185547739,-4.7807520562447605,-5.0173948937691746,-5.2147434884347019,-5.32397305310145,-6.37182461560145,-5.3119543725289402,-6.477021091584116,-5.1964877778328953,-5.8063710862435398,-5.8526018792428074,-4.8945668870247898,-5.5241459542550144,-5.7354863816536961,-5.8222106629647312,-5.458196514252573,-5.9495462113656101,-4.5778638058938084,-5.8642514878548679,-5.1970995599068699,-5.5565107995308933,-6.1315530473031101,-5.4468868905343113,-6.110382907990366,-5.6430138284005222,-5.2171081239022312,-5.2775639230050144,-5.9344409638680515,-5.1835802727974949,-5.066432827118784,-4.7719811135567722,-5.7158354455269871,-4.9079335862435398,-5.9147142106331883,-5.1179498368538914,-5.939667575959116,-5.761318081025034,-4.6927961045540867,-6.1529258424080906,-5.9280646973885593,-5.4941357308663425,-5.9965819054879246,-5.9584807091988621,-6.2223313981331883,-6.1973417931832371,-5.936590068940073,-5.3260720902718601,-5.6700743371285496,-5.7990935975350437,-5.689214580658823,-5.3465093308724461,-5.9925941163338718,-5.4850720101632175,-4.8173636132515965,-5.7200759583748875,-5.3801878625191746,-5.6688474351204929,-5.2021268540658054,-5.7185310059823093,-5.2154592210091648,-5.8190969163216648,-5.8522084885872898,-5.8279870682992039,-5.1990946465767918,-6.1945279771126804,-5.7646449738778172,-4.742568605545908,-5.3095802003182468,-5.8058999711312351,-5.7662848168648777,-4.6041163140572605,-5.4807642632760105,-5.920357101563364,-6.493007534150034,-4.990298622254282,-5.1815284425057468,-6.0575002366341648],\"y\":[-1.3609242161158472,-3.361192556226626,0.68722930351458489,-1.5227970202807337,3.2370296994801611,2.4415027181264013,1.9006220380421728,-3.5910142382029444,1.0953157226201147,0.34391608635149895,-3.3848780115488917,-0.27822473844327034,1.7524751702900976,-0.79395885964669288,-0.078191729390993725,2.1802228967305273,0.075537113344296802,0.93267014423571526,-1.6452137549761683,-0.62760734757222236,0.66038360992632805,2.724437622224912,-1.854727359617129,-2.6569406708125025,0.29429247776232659,-0.31161385973729194,1.0362267772313207,0.15898248354159294,1.3160141984578222,-3.3243452032450587,1.7180282155629247,-1.4715509136561304,-3.2999371012095362,1.7567495385762304,2.3767744580861181,-2.1765366514567286,2.1503387967702001,-0.25588000019825996,1.5315343419667333,-0.26172504028119148,-0.017684849107638012,2.5411118547078222,0.1392575780507177,-1.5013940056208521,0.97515573898516594,-0.32605084975995124,0.82027926841937004,0.48376431862078606,0.0086186210270970953,1.0017936507817358,-2.3959475477579981,-2.1494072397593409,-1.5018984397295863,0.4845412055607885,0.82663360038958489,-0.55044420262612404,1.6344713250752538,2.3286994973774999,1.3997396508809179,1.3177145997639745,0.89430573383532463,-3.387439819181338,1.4095458070393652,-3.2321222742442042,1.1436475793477148,-1.7195602377299219,-0.61843190541304649,-3.3262511213663966,0.69464531341753899,1.2206509391423315,2.4513479749318212,0.31395700374804436,-1.8524055202845484,-2.099086376035586,2.6894771138783544,1.6846672574635595,-1.6100386103037745,0.001632181799039234,1.986632732545957,0.97853210369311272,-1.0947847386244685],\"z\":[2.9518279677191748,1.3017032986441628,-1.9399180764397606,3.6978158598700537,-2.1789520138939844,-2.265229021950625,-2.2787847871026026,1.3253179436484352,-2.2135410660943018,-0.93923786823358379,1.0894958620825783,-1.4219024533471092,-2.0867083424767481,-1.5206691378792747,-0.75032225792016827,-2.3108218068322168,-0.67585364524926983,-1.3561985844811424,3.8996264582434668,-0.64909449760522686,-1.76178578083124,-2.2377672547539698,3.5967497473517431,-0.30704352800454943,-1.7225137109002098,-1.3853454941948875,-2.1559827679833399,-0.86793092434015118,-1.3924358243187889,1.4042644148627297,-1.821381842537783,3.5530161505499853,0.98550584371481098,-2.3419442528923975,-2.1788525933464991,3.2558207159796728,-2.2525081986626612,0.53705961461458362,-2.2550762051781641,-1.9782958382805809,0.091932917193509656,-2.1630576008995996,0.074111575440503674,3.7152385359564795,-2.1676068658074366,0.53535660560522236,-1.2108956927498802,-0.54538110439386212,-1.3287616128167137,-1.5036745423516258,-0.37801322881784288,3.1907698756018652,3.613076413230039,-2.3255999440392481,-2.1386235112389551,-1.9102948064049705,-1.6672747487267479,-2.2741632813652979,-1.2433543557366356,-1.8756244534691795,-1.6513920182427391,1.3640479093352333,-1.6264961117943748,1.6988180523673073,-1.7870245331963523,3.5120024328986181,-1.7200847024163231,1.2466590052405373,-0.77255121414270245,-1.1383841389855369,-2.2288358563622461,-1.8078728074273094,3.7306248789587988,3.3254556303778662,-2.2689855450829493,-1.5432904118737205,3.6391958838263525,-0.025705700560472888,-2.3450262898644434,-2.0848410481652246,3.0285789614478125],\"text\":[\"Cell:GATGAAAAGTTGTAGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTCGTACAGAGGTTAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCTGCTTTCCTCGCAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGGTCTGGTAAACCTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGACAGAAGTGGAGAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTAATGGAGCCGGTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGAACATCAAGCGAGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCACGGACAGATGAGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TTCTACAAGATCGATA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCGCGATTCGCGTAGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGCGCAGTCTGCCAGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAGAATCGTGTAAGTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGACTTTAGGTCATCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AAAGATGAGTGAACAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGGCCACAGCTGTCTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AACTCAGAGAGCTGCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCTGCTTTCTGGTGTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGTAGTCCACATGACT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGTTCCGGTCAGCTAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCACATAAGCAATATG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGTGGTACAGTCGATT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTCAGGAGTCATCCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTTCGGGAGTCACGCC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCTCTGATCATGTCTT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCACATATCACGGTTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TACGGATAGTTTAGGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTCAGAATCAGGTTCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AAGGCAGTCCGAGCCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGCGACTCACCAGGTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCTTCGATCAAGAAGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGCTGGACACGGTAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAGTAACCATGCCTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTTAACTGTCGGGTCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCTACACAGATCCGAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCACTCTTCCGGCACA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAAGGCCTCGTACCGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGGCACTTCACGAAGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ACTGATGTCCCTAACC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GATCAGTTCGGCGCAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TAAGCGTAGATCGATA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TATGCCCTCTTCCTTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCTTCGATCCTGCTTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCTGGGTCACGAGGTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AACACGTTCCGCGCAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCTTTCCTCGTCTGCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GAGGTGAGTCCGAGTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGTCCCAAGTTTAGGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGGGAGTCACCGAATT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGCGTGGAGGTAAACT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGAGTGGGTCACCTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GACCAATAGCCGGTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCGGGATGTACCGCTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CATATGGTCAACACAC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGTGGGAGTGGTCCGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AACTTTCGTGACCAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGCTACCCAGGGCATA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGAACTTAGGTTACCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TTAGGACGTTCAGTAC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTTTGCGAGGAATGGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTCACTCATAGTAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTACTCCCACGTCTCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGCTCCTAGTACACCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCTGAGATCTGAGTGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGATTGCTCCATGAGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCTTACGCAAGGTGTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTCGTCATCTTCTGGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TTCTACAGTGTTGAGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ACTGCTCAGATATGCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ACATGGTCAAGGACTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGCGTGTGTCCGACGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCTGAGATCTTGCAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGACTAGCAAAGGTGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCTCATACAGATCTGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TATGCCCTCTTACCTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TTGTAGGGTTGTTTGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGGAATGGTCGGCTCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTATTCTAGGTGCTTT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGGCCGTAGAGGACGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCACGAATCCTATGTT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCACTACAGAGTACCG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ATGGGAGTCGGTTCGG
group.by:Ngn3 low EP
color:Ngn3 low EP\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":\"rgba(31,120,180,1)\",\"size\":1.5,\"line\":{\"color\":\"rgba(31,120,180,1)\"}},\"showlegend\":true,\"visible\":true,\"name\":\"Ngn3 low EP\",\"textfont\":{\"color\":\"rgba(31,120,180,1)\"},\"error_y\":{\"color\":\"rgba(31,120,180,1)\"},\"error_x\":{\"color\":\"rgba(31,120,180,1)\"},\"line\":{\"color\":\"rgba(31,120,180,1)\"},\"frame\":null},{\"x\":[2.2261005705557766,2.1073290175162258,2.9162017172537746,1.5391832655631006,0.99059940039739014,-2.0335786277092991,0.38131273448094727,3.030913478728384,-2.6897437506951389,-2.6104623013772068,-0.54905425846949218,1.6613651579581201,-1.8538612061776221,-0.83209495336189865,2.0549773043356838,0.098260707255452884,-2.8081093961037693,1.0950797861777246,2.9624165362082424,-4.4374476605691013,-1.624504380825907,-4.3515030080117283,2.5913709467612209,-4.4706221753396092,2.4976972407065334,-1.3357294732369482,-5.9334925347603855,-2.4768989020623264,-1.037919633988291,2.3759418791495266,2.7511712378226223,1.5081285303793848,-0.72175849691405891,0.64330697714909912,-3.0602270299233494,-1.4495434695519507,2.8299533194266262,-4.2111350232399998,0.23066902815923096,1.9107128447256982,0.70927036463841797,-5.8193434411324558,-1.0728792184628546,-3.1521202260293064,-2.0283108884133396,3.2670952147208157,-5.9730290108956394,2.1166299647055569,-4.364221208695322,1.3716536825858057,3.0642060106955471,1.272380716200918,1.0198576515875757,0.31130755602940918,0.48062289416417481,-2.3665174180306492,-5.9691227608956394,-4.2681220704354343,1.7590841120444238,2.3529039686881008,-0.9730303221978247,-3.8963805371560154,1.8053032225333154,1.4098991221152246,1.1200755900107324,2.8175944155417385,-0.59149248242750763,-3.3063419991768894,-0.87759719878807663,-0.5074914628304541,-3.2771187955178318,1.9640537565909326,-0.085499518517404782,-4.0895787411965427,-0.86872646302357315,2.4695133036337795,-2.384531849030405,1.4761222666464746,-3.9497762852944431,-3.4777868920601902,0.21113300978764893,-1.4480543667115271,-3.8526743584908543,1.3883909052573145,3.1511603659354153,-3.804554575089365,3.0774141615591946,0.93153310477361084,1.4240881270132959,2.2761439150534573,0.052783197756856692,2.5774887865744533,-0.94558409691229461,0.027312404509633792,1.9600929087363184,-1.161150538329035,2.0367411440573635,-1.1332349711693823,-3.4096795254983006,-2.2627447778023777,0.045447177287191165,-4.5587662392891941,0.053109652396291507,-1.2834967309273779,-4.200078838471323,-3.4720481568612156,0.63916409670934082,-1.5372922354973853,-1.2227924102582037,-4.1958619290627537,-1.2761777573861182,2.6533113783560696,0.9623799389563501,-4.1175070935524998,-1.0130716794766486,-1.6983771258629858,-0.42723717630282043,3.1376510924063625,1.9586480921469629,0.26568508803471924,0.054381198283284915,-1.6567391091622412,-5.8124340707100925,1.3539816206656397,1.1747036045752466,2.9863430327139797,1.6804815596304834,-2.8448234730996189,-3.0699297124184666,-0.72990534544363617,1.5948706930838525,2.3977209395132961,-4.2920180493630467,1.7521566218100488,1.3041571444235742,3.0737329786978664,1.1023757523261011,1.7036799257956445,0.59107614218816162,2.3053306406699123,2.9427760904990139,1.3651951616965234,-2.5972028905190525,-2.0195505553521214,-3.0853332215584812,-1.1161883407868445,-1.4426591330803931,-0.39783977806940674,1.6526974505148828,1.1953849858008325,2.820102817412466,-2.4362351828850803,-2.8257852727212009,3.0882600611411037,0.37636244952306153,-0.12059801161661743,-4.0914295846261082,-4.4639335805214939,-2.6130442553795872,-3.0593122178353367,0.73053050696477295,-3.4760218793191013,1.3216131991110742,-4.2893997365273533,-4.0317429238595066,0.63557816207036377,-5.845271938446909,-2.9065550500191746],\"y\":[5.2746326009389009,5.4130541364308442,5.4319583455678071,6.2332655469533051,6.1666990796681489,5.3556334058400239,6.3171145002003755,5.2868897000905122,4.8468886891957368,4.9130069295521821,6.13976636329852,6.2563449422474946,5.4354602376576509,6.1034232656117524,5.5023647824879731,5.8229342977162446,4.7440544644948091,6.2671872655507173,5.0375486890431489,3.053478149568662,5.6170193235035981,3.2245275060292333,5.7760783712025727,2.9275032559987157,5.709130434190854,5.8569709340687837,-2.2853716333750635,5.0284039060231294,5.862429765855893,5.8193899671193208,5.4614092389699067,6.1978861371632661,6.0330149213429536,6.2791606465931977,4.5317422429677094,5.8063866178151216,5.2906090299244966,3.2060834447499365,6.0053149739857759,6.1403819600697602,5.9290868322011079,-2.4628283699396998,5.7512680570241059,4.4477821866627778,5.3866788426991548,4.6404534856434907,-2.0194360931757838,6.0664698163624848,3.1053611318226904,5.6490041295643891,5.1439806501027192,5.9288293401356782,6.3557030240651216,6.2044831792470063,6.2774120847340669,5.1079546491261567,-2.3111585100535303,3.1498731652852148,6.2456165830250825,5.6828376332875337,5.7339288274403657,3.6446587125416845,6.1587616483326997,6.3113709966298188,6.5101992169972505,5.3173429051991548,6.0811940709706391,4.2911726514454926,5.8067003766652192,6.1516915837880219,4.3087302724476899,6.1059791127797212,6.155241159593686,3.4106136838551611,5.7471791783925141,5.5046383420582856,5.0971418897267426,6.0172392408009614,3.5790030042286962,4.1195961515065278,6.0665365735646333,5.9222551862355317,3.6644283811207861,6.5097676793690766,5.1191674749013032,3.7342983762379736,5.1614891568776216,6.5140706578847016,6.2066051046010102,5.8738400022145356,6.3667241613026704,5.6343637982960786,5.7960950414296235,5.9886652509327973,5.5834752599354829,5.8752571622487153,5.6014906446095551,5.8410164395924653,4.2020098249074067,5.1850587407704438,6.1284867803212251,2.7336803952809423,6.1840998212452973,5.9258219281788911,3.3085028211232275,4.1155492345448579,6.0061265508290376,5.63598218361102,5.893799451982602,3.2949859181996435,5.6860047856923188,5.159546522295102,6.3522821942921723,3.3782621900197118,6.0290595571156587,5.5554124395009126,5.9120933095570649,5.0785557309743012,5.1376625577565278,6.1707736531849946,6.1084958593007173,5.6331044713612641,-2.0892197807673365,6.5054933110829438,6.4476925412770356,4.3693019429799165,6.2552506009694184,4.7233945409413423,4.447622923051938,6.0066849271412934,5.8363801519032563,5.3818947354909028,3.1574496308919042,6.1509872953053559,6.3953572789784516,4.580111650621518,6.4420615712758149,6.0136028806325044,5.9267965833302583,5.8210684339161958,5.3366757909413423,6.5767537633534516,4.927673963701352,5.3576818982716645,4.4954034368153657,5.8734637776967134,5.6830383817311372,6.1165787259694184,6.33929028907977,6.3083335439320649,5.3751651326771821,5.0579430142994966,4.7141295949574555,4.8203302899952973,6.2412511388417329,6.1266581098195161,3.4219328443165868,2.9060088674183935,4.8964935819264497,4.5343104879017915,6.2357431928273286,4.1006461660023774,6.3245631734486665,3.1740800420399755,3.4705716649647802,6.1151291410084809,-2.3007143457774073,4.6611811200734223],\"z\":[-0.44043216650094835,-0.5616598481377586,-0.31387249176111071,-1.2055859917839988,-1.3542396182259544,-2.1132080907067285,-1.6255686635216697,-0.24576518480386583,-2.0971832627495752,-2.1370454186638819,-1.8430841321190818,-1.1801981085976585,-1.9414627904137596,-1.8734398240288719,-0.61538109724130474,-1.3837494010170921,-2.0628683919152246,-1.2380369061669334,-0.04046544973459093,-2.2872708195885645,-1.9020243043145164,-2.3881311768731104,-0.55646727029886089,-2.29292706195917,-0.61775795166101299,-1.9200106019219383,3.3954834585944189,-1.9662084931572898,-1.9525401944359764,-0.7145071381768211,-0.39546743576135485,-1.191149269982241,-1.8639381283959373,-1.5883779877861961,-2.0808737630089746,-2.0323360318383203,-0.31565431301202623,-2.1747932786187159,-1.7282541150292381,-1.0145118588646873,-1.2757071608742698,3.0760864859381689,-1.9826200360497459,-2.2039041871270166,-1.9775553101738914,0.39048799331579359,3.4803926592627539,-0.93725935165490948,-2.2304728383263575,-0.9748978966912254,-0.12677953188028185,-1.2205983752449974,-1.5190250033577903,-1.6133187169274315,-1.6711378449639305,-1.9866021031579002,3.3351301794806494,-2.2626276368340479,-1.174794232293032,-0.67436913196649395,-2.0363965386589991,-2.3249888772210108,-1.0659122819146141,-1.3062185401162132,-1.5945712680062278,-0.27938840334024279,-1.7441013211449607,-2.164802586480044,-1.8035307282647117,-1.8367646092614158,-2.3312256688317285,-0.99145928566064678,-1.666209256096743,-2.2612905854424463,-1.8348224515160545,-0.4968474263390526,-2.07944730465021,-1.1020439023217186,-2.2726106995781885,-2.1356568688591944,-1.7008445615014061,-2.0458758229454981,-2.2152846211632715,-1.4801934117516502,-0.10410792176332323,-2.2278192395409571,-0.13142303173150865,-1.6909764165123924,-1.2234360331734642,-0.77642956916894756,-1.5766607875069603,-0.59248397295083843,-1.8778262490471824,-1.7005379552086815,-0.69823590461816631,-1.9868114346703514,-0.68850151245202862,-2.0254648083886133,-2.194324767037295,-2.0157058591088282,-1.6327367181023582,-2.2361541146477686,-1.6785416955193504,-2.1124124879082666,-2.3127229565819727,-2.2501683587273584,-1.3766488188942894,-2.0111916417321192,-2.1199062222680078,-2.290758168145083,-2.096262490197085,-0.27862081472482531,-1.4190649146279319,-2.3407025689324366,-1.8264146203240379,-1.9832051152428611,-1.8238900059899315,-0.027806436463259143,-0.41647366230096666,-1.6951468342980369,-1.6321361417016014,-2.0279355401238428,3.457516396597959,-1.4419619197091087,-1.5193666571816429,0.36929347710032018,-1.1791127080162986,-2.1008479947289453,-2.2355978841027246,-1.8953039998253807,-0.94540134613122784,-0.45946708862390367,-2.2672367448052393,-1.0933958644112571,-1.4476848000725731,0.26201189513597639,-1.4810302609642967,-0.99898735229577862,-1.5146830434044822,-0.72990480606164776,-0.27807972375955431,-1.5701052302559837,-2.0571282262047754,-2.0708632821282373,-2.1535916680535303,-1.8206553811272606,-2.0084650868615137,-1.80182484333124,-1.2646129483422264,-1.4033933037957176,-0.47724065725412218,-2.0032043809136377,-2.0061273926934229,0.086906844929792004,-1.5733874196251854,-1.7488398904046043,-2.2866111153801905,-2.2330105656823145,-2.0383117551049219,-2.1218195313652979,-1.4674115533074363,-2.2123680466851221,-1.3827655667504295,-2.3801901692589746,-2.2359147423943506,-1.4216475838860496,3.2512380724707617,-1.9708857888421043],\"text\":[\"Cell:GCTCTGTAGCGTGAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCGTGGACACGAAGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GAACATCAGCAATATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCACACGTCACACGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGACAGATCAGCATGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTGGGTGTCTAGAGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTTGGCTCAGCCACCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTACGTACATCGATGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACATCAGTCCTTGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCGGTCGTCGAATCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTAGTGACATTGAGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGGAGGTTGGACCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTGTAATCATTATCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGATCACAACCGCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTAGTCAGTCCGACGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGAATGTCGACCAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCACAAGCACCGAAAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCGGGACGTCATCGGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGCCAGAGGAACTGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATTATCCAGACCCACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTGAAACTCGATAGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCCTCCTAGACCCACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AAGACCTAGTAGGCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACACCTGTCGCTTTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCTTAGTCGCAGGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATGCCTAGTGGTAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AAACGGGGTGAAATCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTTACTCAATACGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGGTTAAGTCTAGCCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGTTGGTGTCGCATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTGCTCGTCCTAGCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCTCATAAGCAGATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCAGCCCAAGTCATC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTTACTGTTTGGGCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AACTTTCCACAGTCGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATGCCTTCGCACTCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCAGCCGTCGCATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATGCGATGTTACTGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCTGGTTCCCAGGTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TATTACCGTTGAGTTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCTCTGACATCGGTTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGGGAGTAGGGTATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGAGCTTTCTTGAGGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGAGCATGTTAAAGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCGCAGTCTCTTATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AACACGTTCGGAATCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTGATGGTCGACTGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTGCTGTGTTGTGGCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACCACTTCAGCTTAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCGGGTTCCAGGGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGGGATGTCGCATGGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCATGCGCAAATTGCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTAGTTCCATGAGCGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCTTGATCAACACGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGCAGCAGAGGTACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCCAAACATGACATC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGAGCGACACAACTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCCTCTAAGTCCGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GACAGAGCAGTCAGAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AATCGGTGTCACACGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCCGATTCAGAGACG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGTCTTTTCGTACGGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCCCAGAGGATTCGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCAATTCATCTCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACCAGTAGTCATGCCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AACACGTGTGACTCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGACCTAGCTGCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AATCGGTCAAACAACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGGAGCTGTACATCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATGGCGAGAGTCTGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTACACCCAGGGCATA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGGGAGTGTGTAAGTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATCTAGCATCACCCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTGCGACAATCGGTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCTTAGTCGGCGCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TAAACCGAGGATGGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTTAAGCTCCGCATAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTCAGGCAATCTGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGGACGCGTATTCGTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGTAGTCAGCGTTCCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGAGCCCACCTTGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATGCTACAAGCGCTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTTAGATCAGTCAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAACCTCAGCGTGAAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCGTGTCACCAGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCGGTCAGGTCGGAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TAAGCGTCAATGCCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACAGCCGCATCGTCGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AAGGCAGCAGTACACT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACATTTGTATAGTAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCTCTAAGTGGCAAAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTTCTGTCACAATGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGCCGAGTAGCCTAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TACGGATTCCAAGTAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCTACACCATTATCTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTGAAACTCTGTTTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCATGTCTCCGCATAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCAGCCGTCGAACAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGCACTCAATGAAAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AACACGTGTCGGCTCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GACACGCAGTATGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGGGTCCATGATCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATCAGTTCCCGGATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCTCAAAGTACGCGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGAGGTCTGTTGAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTAACTCCACGAGAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AATCGGTCATATGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCATACCAATGCCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTACTTTCATGGTCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAGCAAAGCGATGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TATCAGGCACCAGTTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCTACCCATAAGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGGTCATTCTGCGTAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGTCCCACACGGTAGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATCAGTAGGTTCCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATGTGTGTCAAAGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTAAGACTCACTCCTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACACCTCATTGTGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTAGGCAGTGTGAATA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTGCAGCATTCTCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCATGTCGTTTGCATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGGTCCGAGTTACCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGCTATCCAGGCAGTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGTTGGTTCACATAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATGCTAAGCGATAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATTATCCCAACTGCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AAATGCCCACCAACCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCTAATTCAGCGACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTTAGGACATCTATGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATCTACTGTGAACCTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGCTAAGTACCGAGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GAATGAAAGAATGTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCGGTCGTACCGAGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCCGATGTCAAACTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AAGACCTAGGTGTGGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAGGTACACGGCCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTGATGCATCAGTAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTTCTGAGAGCAATT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCTCTAATCAAAGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACACCCTGTCAGATAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TACACGAGTGCAACTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTGCGAAGTATTGGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGACGTTTCGAGCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGGCCGTCACGACGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGAGGAGTGGAGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGGAGAGAATGTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGCGACCATATGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TAGTTGGAGTCAAGCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGTGGGATCAACTCTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGACTTCGTTGATTCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATCAGTGTAACGACG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGCTAAAGCGCTTAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGCCAGTCCGCTGTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCGGGTAGACGCACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATGAGGGGTTCTGGTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGACCTTAGCTGCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTAACGTGTGCCTGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTCTGTAGCTGAACG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTGCTGTGTTATCACG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGATGTTCTGCTGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCGCAACCAACACCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCGTATCATCTCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AATCGGTTCCAAACTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCTCATAGTTACCAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCAATTTCCGAATGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGAAAGTAAAGTCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATAACGCAGCGTGAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCACATACATTACGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":\"rgba(178,223,138,1)\",\"size\":1.5,\"line\":{\"color\":\"rgba(178,223,138,1)\"}},\"showlegend\":true,\"visible\":true,\"name\":\"Ngn3 high EP\",\"textfont\":{\"color\":\"rgba(178,223,138,1)\"},\"error_y\":{\"color\":\"rgba(178,223,138,1)\"},\"error_x\":{\"color\":\"rgba(178,223,138,1)\"},\"line\":{\"color\":\"rgba(178,223,138,1)\"},\"frame\":null},{\"x\":[3.4359456366263332,4.2351423567496242,3.9708577460013332,3.6219369238577785,4.3770376509390774,4.0545412367545071,3.847624904509634,3.9018045729361477,4.1920338934622707,3.6923328703604641,4.3668023413382473,3.7928448981009426,4.0713917082510891,4.8751646345816555,4.1085463827811184,4.2631312674246731,4.57820618807897,3.4961906737051907,2.6465786761008205,4.0995417898856106,3.8413716620169582,2.2736622160635891,3.70802796542272,3.6548677748404446,3.8021856611929836,3.2827888792715969,4.3123055762015285,3.8091121977530422,3.6057592695914211,4.1241923636160793,2.8195403879843655,3.9710031813345852,4.3865267103873196,3.3374468153677883,3.2570606535635891,2.435252553816885,4.7850753134451809,2.9682651823721828,4.8723198240958157,2.3492690390311184,4.6895667380057278,4.2933746641837063,2.7530199354849758,3.6474958723746242,4.5781961744986477,4.4323755568228664,4.5063401526175442,3.5970946615897121,2.1566151446066799,3.7745324438773098,3.1083837813101711,3.4612490004263821,4.1436320608817043,4.5250836676321926,4.2586289709769192,3.5297552412711086,3.5055633848868313,3.8859354323111477,4.1719976729117336,4.5524135893546047,4.4845186537466946,4.2014442747794094,4.2126609152518215,4.3654242819510403,3.8542548483572903,3.9814606970511379,3.5537105864249172,3.8697253531180325,3.1247845953665676,4.3466187781058254,4.229857570525259,3.4561802214346828,4.840610629912466,4.2293235129080715,3.6268993681631985,3.7046052283011379,4.7917453116141262,3.8458415335379543,4.1579734152518215,4.6595903700552883,4.0381800001822414,4.6404048269949856,3.2200423544608059,4.5811253851614895,4.7884126967154446,4.401481277342886,4.4116336172781887,4.755299693938345,3.0617722338400783,3.975620395537466,4.3192216223441067,3.5511461561881008,4.6648203200064602,4.2700878447256985,2.4781998461447658,3.3287721937857571,4.0853062933646145,4.2413960760794582,3.7916637724600735,3.8577367132864895,3.9003025358878078,3.5305005377493801,3.975402004119009,3.9099475210867825,4.2384554213248196,3.2572733229361477,4.3663502997122707,3.1994730299673977,3.6767584150992336,4.8140150374136867,3.7020202940665188,3.9530860251151028,2.9427110022269192,4.6808501547537746,4.4028011625967922,4.4463373488150539,3.7730208700858059,4.4432860678397121,3.9047581022940578,4.7213956183157864,3.4439202612601223,4.6877924269400539,3.5073601072989407,3.8831917113028469,4.4032703703604641,3.6822696989737453,4.0674892729483547,4.1557580298148098,3.1759957140646877,4.5106087988577785,1.4348169630728662,4.1812874144278469,4.4462629622183742,3.1076239412985744,4.2609082525931301,3.3300324743948879,4.3253170317374172,3.4876762694083157,3.2579966849051418,2.067372447844595,4.6016327208243313,4.5009285277090969,3.7997213667593899,3.4761420553885403,3.1113175219260158,3.7827926939688625,3.7698017424307766,3.6942468947134914,4.6226311987601223,4.2988306349478664],\"y\":[4.5609880963917817,0.50371637741290032,2.8119253198262304,4.1861511746998872,0.84017362991534172,0.15182634988985955,2.8192738572712988,0.27459999719820916,0.21939983764849602,4.0774675885792817,1.6697985211964697,-0.10385725101269783,-0.1988587697390467,0.34204461971484124,2.5575565377827734,2.1375414411183447,0.85956921974383294,1.8917509595509618,3.767842916643247,2.1979185620900243,3.1931356469746679,4.6984931508656587,3.5393640081044286,1.3428472558613866,2.1670099774952978,4.2852317372914399,-0.45325485070981086,3.6995402852650732,3.7294951955433935,2.7750836888905615,3.9751702825184911,0.4742647687550634,0.72149756351672112,3.9998981038685888,3.9596087018605322,5.7198440114613618,-0.28739908536709846,3.2717842141743749,0.3640733043309301,4.7507134954091157,0.73337867656908928,2.081605819856748,3.7827760259266943,3.7065235654469579,1.4162239114399999,1.5153717080708593,1.6229487935658544,0.36135938564501702,5.0215751210805024,-1.1420734246615321,4.5590206662770356,3.5825807134266943,0.62264111438952385,1.2441510240193456,0.86365702549181878,3.1487597505208105,4.585175184404477,2.0458225289937109,1.9949585477467626,0.010975567495450367,-0.56223127445019783,0.02344634929858147,2.5385943929310888,1.6987279931660741,-1.3026901801470667,-1.002995671832934,0.19480547109805046,-1.5247779806498438,3.8057982007618993,1.8951307813283056,0.38730898300372063,3.9369875470753759,-0.15717074474133552,2.8287989179249853,0.73227992454729973,2.5828756372090429,0.50336995521746575,2.3629836122151464,2.4005526582356542,0.51691594520770012,-1.3538924773577601,0.19344046512804924,4.1527763883229341,-0.056277902925387036,-0.1896642764452845,1.5446392575856298,0.22592374483309685,-0.27326551278866829,4.9236470739003266,2.61355319420062,0.14958980480395256,0.086386946832761158,1.0987122336979955,0.34952881733141838,4.2672535459157075,4.3861509839650239,2.8075331727620214,0.50713565746508538,-0.50202726026810707,0.29471722046099602,3.2478906194325536,4.2867161313649262,3.5210286656972021,3.3192664662953466,0.70587757030688225,4.7605287114735688,1.2189218083973974,4.0836221257802094,3.0255440751668066,-0.095709474885836254,3.6926156560536474,3.3101173917409032,3.8065759221669286,0.62841287056170403,-1.8541104515437037,0.92590418258868157,3.815107492601499,1.2596484700795263,-0.8146330138090998,0.60548105636797844,4.515163091814145,-0.10162368615902961,2.0904172937031835,0.72523787418566643,2.2370673696156591,1.2412191907521337,2.9129666368123144,1.7064711133595556,4.272367624437436,0.87080135742388665,5.7142797986622895,-0.68009287318028511,1.5287803689595312,4.1398221532460298,2.3950490037556738,4.3881346265431489,2.1587850133534521,-0.22585761746205391,0.31341960827074944,4.9637571851368989,1.6926080266591161,0.85934927860461174,3.7592670003529638,2.2952796498890966,4.1018168012257661,3.4780861417409032,3.6925312558766454,2.8941611329670995,0.78922310272417961,1.0312146226521581],\"z\":[0.304718563512899,0.64212461765203632,0.90162458475027241,0.53898705001268543,0.8171541338721291,0.90080531890783466,1.0056945925513283,1.1263341551581398,0.76457359846029438,0.59330972488317646,1.3236580735007302,2.070060694769956,0.54968904908094562,0.87805118616018452,1.1078978424826638,0.92488339002523579,0.91635533626470722,1.2781826501647011,0.46906028892192991,1.1687112694540993,0.89649810846243061,-0.089318996115587634,0.84418412502203144,1.4481854086676613,1.1002716666022316,0.51729873772058643,0.053315753296948987,0.78582485969457783,0.86647834833059467,1.0202697759428994,0.47894205357227476,1.5054069405356423,0.95347877796087421,0.71669798548612751,0.71361448820028461,-0.63729122821893536,1.0498764162817971,0.74070682580862202,1.1636628156462685,-0.078878974362276477,1.0581040626326577,1.1477326398650185,0.5173266773978249,0.72845580633077778,1.2826760655203835,1.2038882618704811,0.72548347170744099,1.6928121691504494,-0.30780450050439684,3.625844443396665,0.34684939514193686,0.84438320453558124,1.1257096772948281,1.1052656417647377,0.83087646420393146,0.9538275843420998,0.22020485456380995,1.2149381881514565,1.1280154829779641,0.9043699746886269,0.50072960014734424,0.80211066658888019,0.96546807344350971,1.1345819478789345,3.6591691618720068,2.6538922434607519,1.6922328120032326,0.32712042163405569,0.71589305456075825,1.0160376673499123,0.78435095603857197,0.6890948658743874,1.016341054991819,0.98261817748937763,1.5969053154746071,1.0060130005637185,0.99577304180059589,1.1097865944663063,1.0542903190413491,0.91778298671636738,0.69169294293317951,1.1021707301894204,0.62042188103590168,0.86326968129072346,0.70897960122022785,1.1404010897437111,0.70430269296560444,0.65383696015272297,0.038324529484845715,0.96169736440572895,0.58710421080980457,1.4361596947470681,1.1207342391768471,1.2783063894072548,0.19234318490419539,0.43814096058998259,1.0183514600554482,1.0044521933356301,2.3196100836554541,1.3633727675238625,0.85273441131506122,0.4339464550772682,0.61381466145906605,0.8688000386515633,1.4263145571509377,0.17524067516718062,0.9498038535872475,0.57061597164068378,0.98652752693090595,1.0880603438178078,0.72456821258459247,0.84601234848890461,0.62639995868597187,0.99976345355901874,1.2835021858969704,1.2228841429511086,0.67918309028539814,0.7745423858920113,2.6287481432715429,1.1270150786200539,0.32470682095084341,1.3079818731108681,1.2134255414763466,1.2605692392149941,1.1325286274710671,1.4199568873206154,0.94733711536321796,1.0536057596961037,0.47824824060592802,0.88447066600713886,-1.0324172133645042,-0.1337219232758507,1.0194046741286293,0.55220734532270588,0.92000427301321186,0.43237840588483961,0.99586179311666645,1.4584244137564675,1.845051730231382,-0.29265860263910143,1.1292436962882058,0.88943287189397968,0.69116958434972919,1.1443618779936806,0.56344146485719837,0.7448875253954903,0.73239692504797138,0.9550708180228249,1.0160740857878701,1.0070734267989174],\"text\":[\"Cell:AGTGTCATCGCCGTGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCGTGGGTCCCTTGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGAGTGTCTTCTCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TACAGTGTCCCTAACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCTCTCAGCGTGAGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGAGCACTCTAACTCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCGTAGATCTTTACGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCGTATTCTGCTGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGACAAGTCATAACCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACTACAAGCGTGTCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTATTCTTCACTTACT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAACGGGTCCGCGCAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCCTAGAGAGTGACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACGTTGTCAGTTAGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATTATCGTCATATCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCGCAACAGTGTACCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTTACTGGTTCGTTGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTAGTCAGTACTCAAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGAGAGGTACCGTTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATTATCTCTGAAAGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTACATTCACCGTTGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCATTTGCATTGGCGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGTAACGTCTGATCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATTTCTGAGAAGATTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCTAATTCACCATAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGCTTCACAGATCGGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGTGTCTCATACTCTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATATGGAGGCCCGTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCTAGCTCAGGTGCCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTGAAACTCAAACCAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTTCTCGGTTTGTGTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACTCTTCACTCGACG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGTCCCACGTAAGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGTCACTCAGTATAAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGCTCGAGTCGCTTCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAAGAAACACTAGTAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGTGAGGTCTGTTGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCCAAATGTAAACACA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGTAGCGAGACTGTAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTAACTGGTCACTGGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCTACGCACTAAGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCGGAGGTGAAGGCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAAGTTGTCTAACTGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTGTAGGTCCAAATGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCTCAGTAGCGTAATA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGTGAAGAGCAGGTCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATGTGTGAGTTTGCGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCCCTAGTATCGCAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGGGCTAGACTTGAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCGTACTGTCAGAAGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATCGATAGAAAGTGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCCATACTCGTGGACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGTGGTAAGAGGTTAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACTGGTGTCGAGTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGCTTGTCACTTCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATCATCTTCAGTCCCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGTGTCACACCAGGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTAATGGCATGGTTGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACACGTGTCGACTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTGAAGTTCTGCGGCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGATCGGAGCTGCAAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTGTAGGGTTACGGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAGCCGCGTTATCCGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAGTCTGGTCTCCATC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACTCTTAGCTAACAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACACGTAGTAATCCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GAGCAGAAGCCAGTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTGTGCTCAGCTCCGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTCTTCGAGCGTGAGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAACCAAAGCGTTCCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATCAGAAGTGGTAAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTATGCTTCCAGTATG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCGTGGAGGTTCCTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGATTGCCACAAGCCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATCAGATCATCGCTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCTTTCTTCTTCGAGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTGGAACGTCCGTTAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTGCAGCTCGTTTATC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGATTGAAGTTAGCGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGGTTAGCAGTCGTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGGTTGCTCCCAGGTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTCTCAATCACTCCTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGTCTTTGTCTAAACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCGCGAGTCGACGGAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGCTGGTCGCCGTGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTGTTAGAGTTTCCTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTTCTCTAGTACTTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGTTGGGGTTTAAGCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATGCGATAGAAACGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGACGGCGTCAGGACA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATCTGCCGTCATATGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGATCTGCACCAGGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATCGTACAGGCGATA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGTCTACTCAGTCCCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGCAGCGTCAACTGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATGCTATCCCTCTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTAACTCCACGCCAGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTAGGCAGTTAAGAAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTACTTTAGATATGCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTGGGTCGTAGGAGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GAACGGAAGACGCTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATCGTAAGTAGGTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCATGTATCACGATGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGCGTTTGTATTACCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGCTCAGGTGTTAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTCGAAGTCAACGCTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGGACGCAGATTACCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGGACGCTCTTGTTTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCCAAAAGCGCTTAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACAGCCGAGAGAACAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGACGTCGTCAGAAGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGGACGTAGACAGACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGAGTGGCACCTCGGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACCCACTTCTGAGGGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGATGTTCGCAGGCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGACAACTCGCACTCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGCTTAGATCTGCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGGACTGTCGGACAAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TATGCCCAGAACAATC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACCATGGTTGAACTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGCATAGTAATAGCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCACCTAGATAGTCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGCTGGGTCTAACGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTCGTAAAGGTGATTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTGGTCTTCGTTACAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAACCTCGTCTAAACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCCTCTAGTGACTACT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGGGTCAGATGGCGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGCGTGTTCGTGGGAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTCTGTAGCCACCTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGTGAGCTCACAGGCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCTCTCAGACATAAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATGACAGTCATGCAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCAGATGCACTCGACG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGAGCCGTCTCTGAGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TACTTACGTGTGGCTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTGCGGTCAAAGCAAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TAGAGCTAGTGCCATT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGCAGCCATTCTCAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGATGTCTAGAGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGAGTAGCTAGCCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCACTACAGAGCTGGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGTGTTTAGCAGGCTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACAGCTATCGAGCCCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCGCGTTTCTCTGCTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGACAAGTCCGCGGTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCCCTAAGTCCGGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGGAATGAGGAGCGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGAGCCAGTTCGCAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGTGGGACAGTATCTG
group.by:Pre-endocrine
color:Pre-endocrine\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":\"rgba(51,160,44,1)\",\"size\":1.5,\"line\":{\"color\":\"rgba(51,160,44,1)\"}},\"showlegend\":true,\"visible\":true,\"name\":\"Pre-endocrine\",\"textfont\":{\"color\":\"rgba(51,160,44,1)\"},\"error_y\":{\"color\":\"rgba(51,160,44,1)\"},\"error_x\":{\"color\":\"rgba(51,160,44,1)\"},\"line\":{\"color\":\"rgba(51,160,44,1)\"},\"frame\":null},{\"x\":[3.7621866530142727,2.4181076353751125,3.398643142577261,3.8295599287711086,2.0342673128806057,2.4987086123190823,2.9429088896475735,3.2023011511527004,2.6003462141714992,2.5475879973135891,3.3667727774344387,4.0187827414236965,2.1945270365439358,3.8722015684805813,2.2298027342520657,3.2212067908011379,3.3210197752676907,4.114228851195425,3.3578559225760403,2.2872663801871242,3.8686019247733059,3.7571336096487942,3.8851114577017727,2.3921674555502834,3.4526020353995266,3.217281944151968,3.3088890379630032,3.3083731001578274,3.2845560377798977,3.9772955244742336,3.296350604888052,3.0680788820944729,3.2716742819510403,2.4087811773978176,3.1360293692313137,3.5372740095816555,2.3448590105734768,3.1923199957571926,3.8279835051260891,2.2619544333182278,3.278535491820425,3.7191401785574856,2.9881712263785305,2.7096418207846584,3.9326931303702297,3.9642750090323391,3.6278320616446438,3.2712379759512844,2.9602612322531643,2.2454253500662746,2.3493365114890041,2.5634144610129299,4.1718541449271145,2.6442028349600735,3.6401864355765285,3.8260375326834621,3.2268775767050686,2.7996984785757961,3.729941970702261,4.0360781019888821,3.8146392172537746,2.9567765063010158,3.6438437765799465,3.4250918692313137,3.875729209776968,3.7280699080191555,3.2782713240347805,3.7497507399283352,3.5195432966910305,3.5934301680289211,2.7622026270590725,3.8044158285818996,3.3259717291556301,3.2842856711111965,3.8533784216605129,4.1074754065237942,3.8849631613455715,2.6016289061270657,3.0065325564108791,2.8601588076315823,2.3237930601798,4.1839581793509426,3.864562160369009,3.0862537687979641,3.3152538603506985,3.0060921972952785,2.4848958319388332,3.3920031851492825,3.1617196863852444,3.5681854551993313,3.6677147215567532,4.1724149054251614,3.472437030669302,2.6585174864493313,3.3906790083609524,3.9301687544547024,2.5719155138693752,3.4785252875052395,3.0144556826315823,2.3118149107657375,3.1880821055136623,2.8559435671530666,2.4791776007376614,2.2596844500266018,3.568332797881216,2.4490696257315578,2.8570469683371487,3.0393348997794094,3.2402073210440578,3.6316906279288235,3.3765975302420559,3.1702209776602688,3.2740551298819485,3.8447271650992336,3.6187459295950832,2.32739413439855,3.7456418341360989,3.3688551253043117,3.51955140292272,3.7243415182791653,2.3243960207663479,2.9078658884726467,2.0899595087729397,2.9057635134421291,3.7435547178946438,3.6384803122244778,3.0052238768301907,3.4275070494376125,3.9032551115714016,3.4018317526541653,3.8511496847830715,4.7364717787466946,2.2328699892722073,2.710779315825552,3.4951072996817532,3.1732744044028225,3.1907359427176418,3.2129169768057766,3.3282324141226711,3.5844150847159328,3.6263157194815578,3.7311569517813625,3.9812675780020657,2.9845653837881985,3.4935313528738918,3.7417784994803371,2.7569011515341701,4.1806789702139797,2.5360230272971096,3.3869148558340969,3.3270999258719387,3.0483075445853176,2.6535900896750393,3.3949061697684231,3.2922116583548489,2.3679226702414455,3.466514236327261,3.7150350874625149,2.9753459757529201,3.6715747183524075,2.7764593428336086,4.1185156172476711,2.7369030779562893,3.1518148249350491,3.1259836024008694,3.1491898363791408,3.4683419531546535,3.6988960570059719,4.2128936117850246,4.2010084456168117,3.3830891913138332,3.9067779844962063,2.5168422526083889,3.9831935232840481,3.8944641417227688,2.5652514761649075,3.6086574858389797],\"y\":[-1.4919820149783045,-1.9571644981745631,-2.0396699627283961,-3.4751935919169337,-2.1729515512827784,-2.3668752630595118,-2.4883317669276148,-1.8098151405695826,-1.9278317411784083,-2.0975117405299097,-1.8467319925669581,-1.251596780622378,-2.157822104299441,-1.0692414363268763,-1.9240455349329859,-1.6339909156206995,-1.7581078728083521,-1.8575770576838404,-1.7020700295809656,-2.229204030836001,-3.5964950044993311,-2.7376447637919337,-1.4376525600794703,-2.0364881475809962,-1.3709589560870081,-1.8686189373377711,-2.2824387272242457,-2.5310460050944239,-2.1088388880137354,-0.79763170530833305,-1.4897038062456995,-2.0615666826609522,-1.839825483167544,-2.2612950523737818,-2.2965886314753443,-1.8899432142619044,-1.9679584225062281,-2.1638055761698634,-1.2093105038050562,-2.2468459328059107,-1.5329989512804896,-1.9681979139689356,-2.3324273546580225,-2.1642199476603419,-2.4249170740488917,-1.7407974918726832,-2.2259094437006861,-1.7920636852625758,-1.9738279302958399,-1.9679617603663355,-2.1719521005991846,-2.0415210445765406,-0.38922444185055793,-2.287687393033877,-1.1840383132342249,-1.5632042010668665,-2.4469978531245142,-2.1936223228815943,-1.0237523933295161,-1.9902027567271143,-1.7697127779368311,-1.8375985344294459,-1.5935382564906031,-1.7216208895090968,-2.1834809502009302,-3.3768814524058253,-2.4847284277323634,-1.6008018573168665,-3.0228110273722559,-0.93845525583066047,-2.2699178179148585,-0.8309136574510485,-1.6082303841952235,-2.2054419239405543,-1.7407530268076807,-0.99471473892964424,-2.0636211355570704,-2.367948623502627,-1.582632096612826,-2.3592964132670313,-2.2031477411631495,-0.67533974921144546,-1.1334699412230402,-1.9919628818873316,-1.6391935070399195,-1.9409398754481226,-2.4444392641428858,-1.4317240436915308,-1.9907366951350123,-3.2294615229014307,-3.53181395133771,-1.6996605714205653,-3.1247032602671534,-2.085426183545962,-1.5759708603266627,-1.6945940574053675,-2.3305705507639796,-1.2722177823428065,-2.1448111256007105,-2.1053601225260645,-2.5852859934214503,-2.1020459850672633,-2.2779335697535426,-2.2577160318735987,-3.34799465736188,-2.1494937857035548,-2.0817610939387232,-1.8661416490916163,-1.8260016163233668,-2.8897417505625635,-1.8608510216120631,-1.7897350510004908,-2.0897912701014429,-2.7128883322123438,-3.5607670267466456,-2.3022573908213526,-1.7962529381159693,-2.1413491686228663,-0.82106331934966148,-1.225744934881106,-2.0825966318491846,-2.0013136585596949,-2.2594849785212427,-2.4243255575541407,-1.9548871239069849,-2.8337613066080958,-1.8718189915064722,-3.0737915953043848,-1.5176588614825159,-2.2236046512965113,-1.3247968276385218,-0.46185544332303108,-2.3060733993891627,-2.1491220911387354,-1.5088147242907435,-2.2488428076151759,-1.7824537475947291,-2.2426744421366602,-1.4334760030154139,-3.3568438013438135,-2.4426278789881617,-1.2338218410853297,-1.6460498293284327,-1.8912765701655299,-3.2408536394480616,-1.6100855191592127,-2.2150703390482813,-2.3358186205271632,-2.3687793930415064,-2.3304073532465845,-1.5694117864016444,-1.7597033699396998,-2.0698828419093043,-1.584379287565127,-1.6249425133112818,-2.2207362373713404,-1.4646193703059107,-1.3077832778338343,-1.9619347771052271,-1.2854562123659998,-2.1670902689341456,-1.1525176187399775,-2.3812174518946558,-1.7061382254008204,-1.8804079016093165,-2.3546580990199,-1.5766496380213648,-3.1263745745066553,-2.0799854715708643,-0.87494377990998329,-2.0003306587580592,-1.4531759341601282,-2.2370871027354151,-1.8131473978403956,-1.845871420705691,-2.3646841963175684,-1.660240681970492],\"z\":[-0.11627197806444017,-4.4422009343346582,-1.8901479596337303,0.53710638935957111,-4.4041054600914942,-4.1149027699669825,-3.1062190884789453,-2.2322132939537989,-3.3646304959496485,-4.3691227788170801,-0.46031162683572618,0.32114868070278318,-4.064512526436709,-0.74776128475274883,-3.9802940243920313,-2.0720038766106592,-0.65203252975549542,2.8522421961585058,-1.0633577460488304,-3.7735307568749414,0.60138397868070759,-0.051875984116457385,-0.086225038214586658,-4.4389136189660059,0.021782869652844983,-2.4634974354943262,-1.6111193055352195,-1.2857990616997703,-1.8620951527794822,-0.32135615293588488,-1.5736995095452293,-3.5662513131340967,-1.3430507535180076,-4.1679814213952051,-2.0094900483330713,-0.47995248977746813,-4.5793383473595606,-2.3771019334038721,-0.026652877970598621,-4.1024010533532129,-1.7098124379357322,-0.7162318581780418,-3.2276380414208399,-4.0884254330834375,0.3903947194973007,0.47066290880832823,-0.23120782320108263,-1.7653222436150535,-3.3801544064721094,-4.5782168263634668,-4.1809685582360254,-4.282156741066836,0.66199704463873066,-3.7606008404931055,-1.0677769536217674,-0.76174894516076885,-2.7273321503838526,-3.567005431099795,-0.79229167644586407,0.58494160528574146,0.15209474618826063,-3.9850170964440332,-0.17860732023324816,-0.40273997728433458,0.15176876838598402,0.055805141285993176,-1.7222819680413231,-0.60229984466638409,-0.59038505498971783,0.43357135187182577,-3.7645094746788965,-0.038051163597963733,-2.0130548829277979,-1.5762316340645774,0.37313892850000413,-0.19997534696664659,0.25911098177824171,-3.8196928853234278,-2.5635261887749659,-3.8914845341881739,-3.7873032445153223,-0.26055273954477159,-0.54610196296777569,-3.0372295731743799,-1.5385767573555931,-2.8063612336358057,-3.5016446465691553,-1.2706771249016746,-2.2016206139763819,-0.47989234869088976,0.068220908001996594,0.83226543124113239,-0.759559070511721,-3.9743526334008203,-0.90193072502221905,-0.17401996795739977,-4.1374972218712793,-0.55257776920404278,-3.3035679215630518,-4.1635878438195215,-2.2192685956200586,-3.7493899220665918,-3.3233628625115381,-4.3238962048729883,-0.34779039566125719,-4.0978777760704981,-4.0356600636681543,-2.7837984914025293,-2.0716970318993555,-0.1683719510277733,-1.7157409543236717,-2.3975520486077295,-2.1207371110161768,0.2165401970902458,-0.029214953823946399,-4.0652792805870996,-0.19649956171121447,-0.70852748100366436,0.39061276912037285,-0.55698255245294415,-4.1977947110375391,-3.9814703816613184,-4.2355239743432032,-3.340039288445376,-0.14701214973535387,-0.26648065988626329,-2.7126224393090235,-0.97862473671045147,-0.32925484125223009,-1.2759771699151023,-0.021791195317171497,1.2915099507132546,-4.3823464268883692,-3.7586329335412012,-1.5040309781273826,-2.5591385716637598,-2.0850282067498194,-2.057024037285708,-1.065495407029055,0.13675721939001234,-0.37930515949334948,-0.45669290964212267,0.40754000674281271,-3.0717862004479395,-0.66270211879815899,0.1166816001692787,-3.6352956647118555,0.94751032646093525,-3.5108058804711328,-1.6976774090966209,-1.3610468262871727,-2.3510797375878321,-3.4881890172204004,-0.610877429886721,-1.5956042165001854,-3.7950709218224512,-0.4825310463150963,-1.1418389434060081,-3.9941161030968653,-0.82482949440088116,-3.5396340245446192,0.044734383181668835,-3.2960760945519434,-1.9356620663842186,-2.3733580464562403,-2.5346234196862207,-1.3125818127831443,-0.012733524485491199,0.95320072229299702,0.21816810424719008,-0.63467577640619122,-0.38111028616037218,-4.1484949940880762,0.51448547299299396,0.3882182344729081,-3.5063732022484766,0.11523925717268141],\"text\":[\"Cell:CACAGTACATCCGTGG
group.by:Beta
color:Beta\",\"Cell:ACCGTAACAAGGTTCT
group.by:Beta
color:Beta\",\"Cell:CCACTACAGGTGGGTT
group.by:Beta
color:Beta\",\"Cell:CGTCTACAGATGCGAC
group.by:Beta
color:Beta\",\"Cell:CAAGGCCCAAGAAAGG
group.by:Beta
color:Beta\",\"Cell:CTCTGGTCAAGACACG
group.by:Beta
color:Beta\",\"Cell:TAAGTGCCAATAGCAA
group.by:Beta
color:Beta\",\"Cell:TGTCCCAGTCTCGTTC
group.by:Beta
color:Beta\",\"Cell:CGGACTGTCTTGAGAC
group.by:Beta
color:Beta\",\"Cell:GGTGCGTTCTGGTATG
group.by:Beta
color:Beta\",\"Cell:TACCTTATCCGATATG
group.by:Beta
color:Beta\",\"Cell:CCAGCGACAGGCTGAA
group.by:Beta
color:Beta\",\"Cell:GGCAATTGTAGAGCTG
group.by:Beta
color:Beta\",\"Cell:CGAATGTTCTTCATGT
group.by:Beta
color:Beta\",\"Cell:CCGTGGACATTCCTGC
group.by:Beta
color:Beta\",\"Cell:CGACTTCCACAACGTT
group.by:Beta
color:Beta\",\"Cell:GGGAGATAGCGAAGGG
group.by:Beta
color:Beta\",\"Cell:CGGACACTCTATCCTA
group.by:Beta
color:Beta\",\"Cell:CGGCTAGCATTCCTCG
group.by:Beta
color:Beta\",\"Cell:GTAGGCCGTTACCAGT
group.by:Beta
color:Beta\",\"Cell:TCTCATATCAGAGCTT
group.by:Beta
color:Beta\",\"Cell:GCTGGGTGTCATACTG
group.by:Beta
color:Beta\",\"Cell:TAAGTGCTCCAAATGC
group.by:Beta
color:Beta\",\"Cell:GCGCGATGTCCGAATT
group.by:Beta
color:Beta\",\"Cell:GGGATGAGTCTGCGGT
group.by:Beta
color:Beta\",\"Cell:GTCTCGTAGATCTGCT
group.by:Beta
color:Beta\",\"Cell:GTGCATATCAGAGACG
group.by:Beta
color:Beta\",\"Cell:CAGCGACAGATCACGG
group.by:Beta
color:Beta\",\"Cell:ACTATCTGTCAGGACA
group.by:Beta
color:Beta\",\"Cell:ATCCACCTCCTTTCTC
group.by:Beta
color:Beta\",\"Cell:GGACAGAAGGCCGAAT
group.by:Beta
color:Beta\",\"Cell:ACTATCTTCTGCTGTC
group.by:Beta
color:Beta\",\"Cell:CGTCCATGTCTAACGT
group.by:Beta
color:Beta\",\"Cell:CAGTAACCATACGCTA
group.by:Beta
color:Beta\",\"Cell:ATCACGATCAGGATCT
group.by:Beta
color:Beta\",\"Cell:TATTACCAGCTAGTCT
group.by:Beta
color:Beta\",\"Cell:GTGGGTCGTACTTCTT
group.by:Beta
color:Beta\",\"Cell:ACTTACTCACCGTTGG
group.by:Beta
color:Beta\",\"Cell:CGCCAAGTCTAAGCCA
group.by:Beta
color:Beta\",\"Cell:ACTATCTTCATGTAGC
group.by:Beta
color:Beta\",\"Cell:TATCTCACATTGTGCA
group.by:Beta
color:Beta\",\"Cell:ACGATGTGTCGCGGTT
group.by:Beta
color:Beta\",\"Cell:CAGAATCCACAAGCCC
group.by:Beta
color:Beta\",\"Cell:TTTCCTCAGTGTCCCG
group.by:Beta
color:Beta\",\"Cell:TAAGTGCTCGCCTGAG
group.by:Beta
color:Beta\",\"Cell:GGTGTTACATGTTGAC
group.by:Beta
color:Beta\",\"Cell:GGGAGATAGTGACATA
group.by:Beta
color:Beta\",\"Cell:TAAGAGACAGTAGAGC
group.by:Beta
color:Beta\",\"Cell:CACATTTTCGAGGTAG
group.by:Beta
color:Beta\",\"Cell:AGACGTTCAATGGTCT
group.by:Beta
color:Beta\",\"Cell:CAGTAACAGCCACCTG
group.by:Beta
color:Beta\",\"Cell:CATTCGCGTGCAGACA
group.by:Beta
color:Beta\",\"Cell:TCTATTGCAGTAAGCG
group.by:Beta
color:Beta\",\"Cell:GCATGTAAGAATCTCC
group.by:Beta
color:Beta\",\"Cell:GTTACAGTCTAGAGTC
group.by:Beta
color:Beta\",\"Cell:TTATGCTTCGTTTAGG
group.by:Beta
color:Beta\",\"Cell:CTCAGAATCTTGAGAC
group.by:Beta
color:Beta\",\"Cell:GCATGATCATGCATGT
group.by:Beta
color:Beta\",\"Cell:TACGGTATCCCATTTA
group.by:Beta
color:Beta\",\"Cell:CCTTCGAAGCTAGGCA
group.by:Beta
color:Beta\",\"Cell:CCCAGTTTCAGCACAT
group.by:Beta
color:Beta\",\"Cell:CTAAGACGTACTCTCC
group.by:Beta
color:Beta\",\"Cell:CTTTGCGGTCGAATCT
group.by:Beta
color:Beta\",\"Cell:TTTGGTTTCCTTTCGG
group.by:Beta
color:Beta\",\"Cell:GGGATGATCTGTCCGT
group.by:Beta
color:Beta\",\"Cell:GTGTGCGCAGCGATCC
group.by:Beta
color:Beta\",\"Cell:GGCTCGACAGCTATTG
group.by:Beta
color:Beta\",\"Cell:GACTGCGGTCGCCATG
group.by:Beta
color:Beta\",\"Cell:ACGAGGATCAATCTCT
group.by:Beta
color:Beta\",\"Cell:GTGCGGTAGTGAATTG
group.by:Beta
color:Beta\",\"Cell:TACTTGTAGACAAAGG
group.by:Beta
color:Beta\",\"Cell:GTCCTCACACCACGTG
group.by:Beta
color:Beta\",\"Cell:AGATTGCCATTCCTGC
group.by:Beta
color:Beta\",\"Cell:TACGGTATCTTTCCTC
group.by:Beta
color:Beta\",\"Cell:GTCACGGCATACTACG
group.by:Beta
color:Beta\",\"Cell:ATCACGAGTGCACCAC
group.by:Beta
color:Beta\",\"Cell:AGGGTGAAGGTGCAAC
group.by:Beta
color:Beta\",\"Cell:CGCTATCAGGTGATAT
group.by:Beta
color:Beta\",\"Cell:GTGTGCGGTAGTACCT
group.by:Beta
color:Beta\",\"Cell:GGCTCGACAGCTTCGG
group.by:Beta
color:Beta\",\"Cell:TGTGGTAGTTAGAACA
group.by:Beta
color:Beta\",\"Cell:GTACTCCGTAGCGATG
group.by:Beta
color:Beta\",\"Cell:TGGACGCAGCGTCTAT
group.by:Beta
color:Beta\",\"Cell:CTGAAGTTCTTTAGGG
group.by:Beta
color:Beta\",\"Cell:TGCGTGGTCTTTACGT
group.by:Beta
color:Beta\",\"Cell:CTTGGCTCATCCCACT
group.by:Beta
color:Beta\",\"Cell:GTTTCTATCAACGGCC
group.by:Beta
color:Beta\",\"Cell:GTTACAGTCTTGAGAC
group.by:Beta
color:Beta\",\"Cell:TGTGGTAAGTGGTCCC
group.by:Beta
color:Beta\",\"Cell:GATGAGGAGAAACCTA
group.by:Beta
color:Beta\",\"Cell:GAAATGATCTTCAACT
group.by:Beta
color:Beta\",\"Cell:CGACCTTCACACAGAG
group.by:Beta
color:Beta\",\"Cell:GCGCAGTGTACGCACC
group.by:Beta
color:Beta\",\"Cell:CACATAGTCATTGCGA
group.by:Beta
color:Beta\",\"Cell:CTGAAACGTAGCGCAA
group.by:Beta
color:Beta\",\"Cell:GAATGAATCATCGGAT
group.by:Beta
color:Beta\",\"Cell:AAATGCCAGACTAAGT
group.by:Beta
color:Beta\",\"Cell:AACTCTTCATTTGCCC
group.by:Beta
color:Beta\",\"Cell:GAATAAGCACGAAATA
group.by:Beta
color:Beta\",\"Cell:CGATGGCCAACTGGCC
group.by:Beta
color:Beta\",\"Cell:ACTGATGCACATGACT
group.by:Beta
color:Beta\",\"Cell:CATCCACGTTACGACT
group.by:Beta
color:Beta\",\"Cell:GTGCTTCTCACGACTA
group.by:Beta
color:Beta\",\"Cell:CTACACCCATCAGTCA
group.by:Beta
color:Beta\",\"Cell:TTATGCTCACTACAGT
group.by:Beta
color:Beta\",\"Cell:AAAGTAGGTCAGATAA
group.by:Beta
color:Beta\",\"Cell:CCCAGTTGTGCGCTTG
group.by:Beta
color:Beta\",\"Cell:ATTCTACGTTTAGGAA
group.by:Beta
color:Beta\",\"Cell:GTGCGGTTCTGATTCT
group.by:Beta
color:Beta\",\"Cell:TCTATTGGTCTAGCCG
group.by:Beta
color:Beta\",\"Cell:CGGCTAGAGGCACATG
group.by:Beta
color:Beta\",\"Cell:GTAACTGAGCCGGTAA
group.by:Beta
color:Beta\",\"Cell:CATCAAGGTGGTCTCG
group.by:Beta
color:Beta\",\"Cell:CCTTCGATCTCCAACC
group.by:Beta
color:Beta\",\"Cell:CGTGTAACATGGTCTA
group.by:Beta
color:Beta\",\"Cell:AAACGGGGTACAGTTC
group.by:Beta
color:Beta\",\"Cell:CAGGTGCGTACAAGTA
group.by:Beta
color:Beta\",\"Cell:CGGACTGCATCCCATC
group.by:Beta
color:Beta\",\"Cell:GCGCCAACACCTCGGA
group.by:Beta
color:Beta\",\"Cell:CTTCTCTCAGCATACT
group.by:Beta
color:Beta\",\"Cell:TCAGATGGTAGATTAG
group.by:Beta
color:Beta\",\"Cell:CATCGAAGTAGCGTCC
group.by:Beta
color:Beta\",\"Cell:CGGACTGCAGCCAATT
group.by:Beta
color:Beta\",\"Cell:GGCGTGTTCTCGTATT
group.by:Beta
color:Beta\",\"Cell:TATGCCCAGGGTATCG
group.by:Beta
color:Beta\",\"Cell:CGAGAAGCACTTACGA
group.by:Beta
color:Beta\",\"Cell:AACTCCCAGTACGACG
group.by:Beta
color:Beta\",\"Cell:CCATTCGCAAGCCATT
group.by:Beta
color:Beta\",\"Cell:TGGCGCATCACATAGC
group.by:Beta
color:Beta\",\"Cell:AAACGGGCAAAGAATC
group.by:Beta
color:Beta\",\"Cell:TCTGGAAGTCATCGGC
group.by:Beta
color:Beta\",\"Cell:ACCAGTAGTTCGTTGA
group.by:Beta
color:Beta\",\"Cell:TTTGGTTCAAATTGCC
group.by:Beta
color:Beta\",\"Cell:GCCTCTAAGAGTTGGC
group.by:Beta
color:Beta\",\"Cell:CGGCTAGGTAACGACG
group.by:Beta
color:Beta\",\"Cell:AAAGATGAGTCATGCT
group.by:Beta
color:Beta\",\"Cell:TGAGCCGTCGATAGAA
group.by:Beta
color:Beta\",\"Cell:AGGGAGTTCCTCAATT
group.by:Beta
color:Beta\",\"Cell:ATCACGATCACGGTTA
group.by:Beta
color:Beta\",\"Cell:GAGCAGAGTTTGCATG
group.by:Beta
color:Beta\",\"Cell:TCCACACTCACGATGT
group.by:Beta
color:Beta\",\"Cell:CGATGTAGTGGTACAG
group.by:Beta
color:Beta\",\"Cell:TGGGAAGGTCATGCAT
group.by:Beta
color:Beta\",\"Cell:CATGCCTGTTCGTCTC
group.by:Beta
color:Beta\",\"Cell:TCTCTAAAGCTGGAAC
group.by:Beta
color:Beta\",\"Cell:GAACGGAAGGAGCGAG
group.by:Beta
color:Beta\",\"Cell:AAAGTAGAGCGCCTTG
group.by:Beta
color:Beta\",\"Cell:AACTTTCAGGCATTGG
group.by:Beta
color:Beta\",\"Cell:TACGGTAGTGTGCCTG
group.by:Beta
color:Beta\",\"Cell:AAGCCGCAGGAGTTGC
group.by:Beta
color:Beta\",\"Cell:CATGGCGAGCCCTAAT
group.by:Beta
color:Beta\",\"Cell:TTGAACGTCATCGATG
group.by:Beta
color:Beta\",\"Cell:TAGGCATTCGTTGCCT
group.by:Beta
color:Beta\",\"Cell:AGATCTGTCGATCCCT
group.by:Beta
color:Beta\",\"Cell:CTACGTCAGTCTCGGC
group.by:Beta
color:Beta\",\"Cell:ACACCAAAGTAGGCCA
group.by:Beta
color:Beta\",\"Cell:GCACTCTGTCTGCAAT
group.by:Beta
color:Beta\",\"Cell:CGTCTACGTTTCCACC
group.by:Beta
color:Beta\",\"Cell:GACCAATAGAATGTGT
group.by:Beta
color:Beta\",\"Cell:TACCTATTCGTTACGA
group.by:Beta
color:Beta\",\"Cell:TGAGGGAAGCCGGTAA
group.by:Beta
color:Beta\",\"Cell:TGATTTCAGTGGAGTC
group.by:Beta
color:Beta\",\"Cell:CTAACTTAGATCACGG
group.by:Beta
color:Beta\",\"Cell:ATGAGGGCAAGGTTTC
group.by:Beta
color:Beta\",\"Cell:ACATACGGTAAACACA
group.by:Beta
color:Beta\",\"Cell:GAATGAATCCTGTAGA
group.by:Beta
color:Beta\",\"Cell:ACTGATGGTCCGACGT
group.by:Beta
color:Beta\",\"Cell:GTAACGTCAGCCTATA
group.by:Beta
color:Beta\",\"Cell:GGGAGATAGCGTTCCG
group.by:Beta
color:Beta\",\"Cell:TACGGATTCTAACTCT
group.by:Beta
color:Beta\",\"Cell:GGAAAGCAGGCATGGT
group.by:Beta
color:Beta\",\"Cell:CTCGGAGTCATCGCTC
group.by:Beta
color:Beta\",\"Cell:CGTTCTGAGCCCAGCT
group.by:Beta
color:Beta\",\"Cell:ACGCAGCGTGGCTCCA
group.by:Beta
color:Beta\",\"Cell:CACAGGCTCAAGATCC
group.by:Beta
color:Beta\",\"Cell:GCTGGGTTCGCCATAA
group.by:Beta
color:Beta\",\"Cell:CGTCCATCAGTCGTGC
group.by:Beta
color:Beta\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":\"rgba(253,191,111,1)\",\"size\":1.5,\"line\":{\"color\":\"rgba(253,191,111,1)\"}},\"showlegend\":true,\"visible\":true,\"name\":\"Beta\",\"textfont\":{\"color\":\"rgba(253,191,111,1)\"},\"error_y\":{\"color\":\"rgba(253,191,111,1)\"},\"error_x\":{\"color\":\"rgba(253,191,111,1)\"},\"line\":{\"color\":\"rgba(253,191,111,1)\"},\"frame\":null},{\"x\":[3.7651683157645168,4.2884904211722317,4.0858694380484524,3.9449616736136379,3.7688914602957668,3.708708888884634,4.2753692930899563,3.6917172735892239,4.8378187483511867,4.3068496054373684,3.6750012701712551,4.1570006674490871,4.4909569090567532,4.3201953238211575,4.1558662718497219,4.6197644537650051,3.7943307226859035,3.8011189764700832,3.8908783262930813,4.2860552138052883,4.953642970915884,4.1042176550589504,4.063956863280386,3.5586420363150539,4.2045790022574367,4.0581241911612453,4.309628135558218,4.9434748953543606,3.9707208937369289,4.0788031882010403,4.3074675863943996,4.2125812834464016,4.1810804671011867,4.1613327330313625,4.1415544813834133,4.1233750647269192,3.7564607924185696,4.540925628539175,3.6092368429861965,3.797756797667593,4.2756167715750637,3.9822994536124172,4.3417240446768703,3.9070087736807766,3.5692497557364407,3.9789401358328762,3.6990600889883938,3.7973028486929836,4.0392576521597805,4.0615278547964992,3.7082096403799953,4.1198397940360012,4.7570358580313625,3.6876221960745754,4.0421482390128078,4.8315531080923977,4.8818041151724758,4.0719081228934231,3.840809947844595,4.4146901434622707,3.6967369383536282,3.929534084197134,4.0964404410086575,3.9519139593802395,3.7683998411856594,4.1110025709830227,4.8735128706656399,4.1605702704153957,4.2244850462637844,3.598171836730093,3.9120718306265774,4.7828432387076321,4.2756439512930813,3.8340650862418117,4.1341716116629543,3.6935759848318996,4.8878732985220852,4.3533126181326809,3.9792114561758938,4.1878510779105129,3.7272607153616848,4.2237268751822414,4.7304683989249172,3.9582825964652004,4.2110291784964504,3.6590329474173489,4.1788326567374172,3.7835108107291164,4.2851477926932278,4.0993858641348782,3.85278475939855,4.206941253539175,3.9675642317496242,4.1869531935416164,3.6755405729971828,4.2089210814200344,3.9946595495902004,3.7615333861075344,4.2713748282156887,3.6478635138235989,4.2264033621512356,3.6208459204398098,4.0981928175650539,4.6671968764029446,3.8968588179312649,3.5979048079214992,4.6734758681021633,4.1653372114859524,3.5731941527090969,4.248017913695425,4.0969482725821438,4.19380677401647,4.0267154043875637,3.6752859419547024,3.9452782934866848,4.11096347033605,3.946593410369009,4.3577228850089016,4.2267390555106106,4.0319467848502102,4.0022865599356594,4.3862692183218899,4.3566633528433742,4.012112266417593,3.7653600043021145,3.8392578428946438,3.9582296675406399,3.8220959967337551,4.2790666884146633,4.8305007284842434,4.2600380247794094,4.1178962057791653,4.1578036612235012,4.1299988096915188,4.0152269667349758],\"y\":[-4.1813345869425689,-5.0962627848032866,-2.0351397713068873,-3.4739092310313135,-3.5910936315897852,-4.1603685339335357,-3.7919968088511378,-3.8577817400339991,-0.86170599063672126,-3.278905244672671,-4.3640995939616118,-3.723750682676211,1.3132356683369726,-3.6445847471598536,-3.0026050527933985,-1.3423747738245875,-3.783922048414126,-3.9147642572764307,-4.6768530329111968,-2.3055076321009547,-0.68876549241878093,-5.3729494531992827,-4.7047046144846831,-4.5010617693308745,-3.0754037817362696,-3.6829043348673731,-1.7410278042200953,-0.47179021140374244,-4.8555706461314116,-4.3189624269846831,-5.0903199633006011,-4.9740699251536284,-4.7634843309763824,-3.3286565264109522,-3.1477533300761134,-3.3545483072642237,-5.2532542665842925,-1.5070934613589198,-3.3516133745554835,-4.9233997782114898,-4.958230348432437,-4.9192923029307281,-3.352185102308169,-3.7284103353861719,-4.2564638574961577,-4.0790687521342193,-4.7821448763255034,-3.8162888010386378,-4.7334559877756988,-3.8477219065073878,-3.7607172449473292,-3.0956462343577296,0.096637038385495533,-3.7234464605692774,-5.3106635530833159,-0.63466766675747932,-0.83351120551861824,-3.4789639433268458,-4.2947400530222808,-4.290679307783023,-3.8767207582835108,-5.1896551569346343,-3.531302066648379,-4.8967646082285796,-3.658861013257876,-3.4552353342417628,-0.37577939232625068,-4.4964416941050445,-5.0694449861887847,-3.9731949289683253,-5.1671312769297515,-0.75854998281039299,-3.0913077314738184,-5.4139483888987456,-3.459409805143252,-3.7811191995982081,-0.99437400897778572,-2.0634958465937525,-3.4982336481455714,-4.7272222956065093,-5.0906585176829253,-3.1412273367289454,-0.94771781762875618,-4.5101326425913726,-3.6134074648264796,-4.6001072843912993,-3.0487497766856104,-4.0350559671763335,-4.5549701174143706,-4.9965170343760406,-3.5523766001109034,-4.4558144529704009,-4.6657434423808013,-3.4929128607157618,-4.0809699018839751,-2.5277898033503443,-3.4343720396403223,-4.9682110269907866,-2.6928626020792872,-3.9875546415690333,-3.4406310041788966,-4.5077687223795806,-3.5230122526530177,1.099791912233457,-4.1716831644419585,-3.7157302816752344,-1.2219919284228236,-4.2690785845164214,-4.7333548982981597,-5.430299611890689,-5.2894814928416167,-3.0151425321940333,-4.1383369882944976,-4.5225485285166656,-4.4413059671763335,-2.8859759291056544,-5.2353986223582183,-3.9434927423838526,-2.9411636312846094,-4.9088624437693511,-3.266095014417544,-4.4900182207468902,-3.7087305506113917,-3.241342874372378,-5.0214823206309234,-3.7565096338633448,-3.9927330931071192,-4.1723013838175689,-2.8455587347391993,-0.76378666808642448,-4.4622977693919097,-5.0639975984934722,-5.2773097475413238,-5.3637460192088042,-3.1654377897623927],\"z\":[1.6474694853583352,2.2678830271521582,0.77559181507024921,2.7288589125433935,2.5187892561713232,2.3033556586066259,1.9580397253790871,2.2424358969489111,1.4935800677100197,1.4389643317023293,2.2650366669455542,1.8464862948218361,1.2327821498671547,1.6243790036002175,2.4039139395514502,1.3589428907195107,0.68090977723989643,0.55365350301656879,1.1247000342169777,1.3499763255873696,1.6193426495352761,1.8633428459921852,1.5980829840460793,1.7556627636710183,1.7654970532217995,1.4878282194891945,1.0494790321150795,1.4979819899359719,1.6782898550787941,2.1459217911520971,1.6422769671240822,1.5686887150565163,2.2822488194266333,1.5832513218680397,1.189559364871122,1.9128696566382424,1.7500769739905373,1.3617116456786171,-0.21080580894555895,1.7848413830557839,1.64319309051428,2.2391173487463965,1.2016483789244667,0.46787341143283995,1.9167555218497292,0.71580704505834736,1.9681576138297097,1.7726575976172463,1.8767610436240212,1.1526832824507729,1.5409364348212258,0.8544526642123238,1.2083266025343911,0.4213397895852104,1.9154033308783547,1.2273513322630898,1.5856625681677834,0.88299956376943745,0.75345029886160053,1.9913510924139992,0.50619247014913715,1.9045886641303078,2.87701340969,1.8003981953421608,1.5368673449316994,1.6361664181509987,1.4694782143393532,1.392500722960569,1.8585914021292702,2.2972430830756201,2.0057422762671484,1.3438335901061074,1.8161207085410134,1.6121569519797341,0.93353792484197773,2.3818230276862158,1.7616051083365456,1.2911687141219155,1.8081029301444069,2.2930901890555395,1.8301757221976296,2.3696720248023047,1.3657154088774697,1.323900664404966,1.3786654120245949,2.2367086058417334,2.3664700632849707,1.4042710905829445,1.6668164377966896,1.8389694338599221,2.4151751642981543,2.3941752558508886,2.2259193306723608,1.3449152951994912,2.3593933230200781,3.0048808699408545,1.7172023897925393,1.9697740917960183,2.3569098358908667,1.2342852001944558,2.5018155222693457,2.0716530924597754,1.8232771998206154,1.1154466515341774,0.8878723030844704,1.9975769167700783,1.5046544914999977,1.4392054920950905,1.9821776991644875,1.8281238919058815,1.6713567620078102,1.9429345970908181,1.7048794871130959,1.6828380471030251,0.90038057620916523,2.216438139037229,1.7515104656973854,1.9326098805228249,2.1696555262366308,2.2898159867087378,2.7280842905798925,1.6591003781119362,2.000695312575437,2.5682856684485449,1.7376130467215554,1.240804219798185,2.4409746771613134,1.9236166125098244,1.9692984467307106,1.4489907866278664,1.5091299658576027,1.9984683638373391,2.0168980007926001,1.8868381624976174,2.6455645209113134],\"text\":[\"Cell:TTCTACACAGTCGATT
group.by:Alpha
color:Alpha\",\"Cell:GTTCATTGTTCCAACA
group.by:Alpha
color:Alpha\",\"Cell:AAAGTAGAGAGTGAGA
group.by:Alpha
color:Alpha\",\"Cell:GTTCTCGCAAGTCTAC
group.by:Alpha
color:Alpha\",\"Cell:CAGTCCTAGGTGGGTT
group.by:Alpha
color:Alpha\",\"Cell:CATCGGGAGGCCCTTG
group.by:Alpha
color:Alpha\",\"Cell:TGGACGCAGCTGCAAG
group.by:Alpha
color:Alpha\",\"Cell:CGTGTAAGTTAAGATG
group.by:Alpha
color:Alpha\",\"Cell:ATTTCTGTCCCTGACT
group.by:Alpha
color:Alpha\",\"Cell:CATGACACAAAGTCAA
group.by:Alpha
color:Alpha\",\"Cell:CTAACTTGTAGGAGTC
group.by:Alpha
color:Alpha\",\"Cell:CAACCTCTCTCTGTCG
group.by:Alpha
color:Alpha\",\"Cell:CCGTTCACAGTAGAGC
group.by:Alpha
color:Alpha\",\"Cell:CACCACTCAATCTACG
group.by:Alpha
color:Alpha\",\"Cell:GGCGTGTCAACTGCTA
group.by:Alpha
color:Alpha\",\"Cell:ACATCAGTCCGTTGTC
group.by:Alpha
color:Alpha\",\"Cell:ACAGCCGAGCCAACAG
group.by:Alpha
color:Alpha\",\"Cell:AGCGTATCACGAGGTA
group.by:Alpha
color:Alpha\",\"Cell:TCCACACCAGGCGATA
group.by:Alpha
color:Alpha\",\"Cell:GATGAAACAGGCTGAA
group.by:Alpha
color:Alpha\",\"Cell:CTGAAACAGTATCGAA
group.by:Alpha
color:Alpha\",\"Cell:GACCAATGTAAGAGAG
group.by:Alpha
color:Alpha\",\"Cell:CATCAGAGTTCGCTAA
group.by:Alpha
color:Alpha\",\"Cell:CCATTCGGTGCTAGCC
group.by:Alpha
color:Alpha\",\"Cell:CCACTACTCTTTAGTC
group.by:Alpha
color:Alpha\",\"Cell:GGATGTTGTTACGCGC
group.by:Alpha
color:Alpha\",\"Cell:CTCGTACCAGCCAGAA
group.by:Alpha
color:Alpha\",\"Cell:ATTATCCGTATAAACG
group.by:Alpha
color:Alpha\",\"Cell:GTCCTCAAGTTCGATC
group.by:Alpha
color:Alpha\",\"Cell:CGGAGCTGTTACGGAG
group.by:Alpha
color:Alpha\",\"Cell:GTCAAGTAGTATCGAA
group.by:Alpha
color:Alpha\",\"Cell:TCAGGTACAGTCACTA
group.by:Alpha
color:Alpha\",\"Cell:GGATGTTAGTAAGTAC
group.by:Alpha
color:Alpha\",\"Cell:ACGCAGCCAATCCGAT
group.by:Alpha
color:Alpha\",\"Cell:ACTTTCATCAGAGCTT
group.by:Alpha
color:Alpha\",\"Cell:TCGAGGCAGTTAACGA
group.by:Alpha
color:Alpha\",\"Cell:GTGCGGTCACCGAATT
group.by:Alpha
color:Alpha\",\"Cell:TTGGCAATCGGATGGA
group.by:Alpha
color:Alpha\",\"Cell:GACTAACCATGAGCGA
group.by:Alpha
color:Alpha\",\"Cell:CGTGAGCTCTTCTGGC
group.by:Alpha
color:Alpha\",\"Cell:ATCATGGGTTCTCATT
group.by:Alpha
color:Alpha\",\"Cell:GTGTGCGGTCTCCACT
group.by:Alpha
color:Alpha\",\"Cell:TCACAAGCAACGATGG
group.by:Alpha
color:Alpha\",\"Cell:CGATGGCTCAGTGTTG
group.by:Alpha
color:Alpha\",\"Cell:CATCCACCAGATGGGT
group.by:Alpha
color:Alpha\",\"Cell:TGCCCTATCATAAAGG
group.by:Alpha
color:Alpha\",\"Cell:CCACCTATCTAAGCCA
group.by:Alpha
color:Alpha\",\"Cell:TCTTCGGTCTGCTTGC
group.by:Alpha
color:Alpha\",\"Cell:GGCAATTGTCCATCCT
group.by:Alpha
color:Alpha\",\"Cell:CGTGTAATCGTTGACA
group.by:Alpha
color:Alpha\",\"Cell:AAGCCGCTCTTGCATT
group.by:Alpha
color:Alpha\",\"Cell:CGTAGGCCAACACCCG
group.by:Alpha
color:Alpha\",\"Cell:GCAATCACAGCTGCTG
group.by:Alpha
color:Alpha\",\"Cell:GGACAGAGTCAGCTAT
group.by:Alpha
color:Alpha\",\"Cell:CTTCTCTCATGCGCAC
group.by:Alpha
color:Alpha\",\"Cell:CCACGGAAGATCCTGT
group.by:Alpha
color:Alpha\",\"Cell:TGTGTTTGTATATCCG
group.by:Alpha
color:Alpha\",\"Cell:GACGCGTAGACGCACA
group.by:Alpha
color:Alpha\",\"Cell:GACGTGCTCCGGCACA
group.by:Alpha
color:Alpha\",\"Cell:AAGACCTAGACCTTTG
group.by:Alpha
color:Alpha\",\"Cell:ATCCACCTCATGCAAC
group.by:Alpha
color:Alpha\",\"Cell:GTACTCCTCTCTTATG
group.by:Alpha
color:Alpha\",\"Cell:CGGAGTCCATAACCTG
group.by:Alpha
color:Alpha\",\"Cell:TTAGGACAGGTCATCT
group.by:Alpha
color:Alpha\",\"Cell:GCAAACTTCGGAATCT
group.by:Alpha
color:Alpha\",\"Cell:CTCTAATAGTTATCGC
group.by:Alpha
color:Alpha\",\"Cell:CACATAGAGGGAAACA
group.by:Alpha
color:Alpha\",\"Cell:TGGTTCCTCAACCATG
group.by:Alpha
color:Alpha\",\"Cell:ACGATACTCGCGCCAA
group.by:Alpha
color:Alpha\",\"Cell:GGGACCTGTCAGCTAT
group.by:Alpha
color:Alpha\",\"Cell:CCACCTATCGGAAACG
group.by:Alpha
color:Alpha\",\"Cell:CTCGAAAGTGGTGTAG
group.by:Alpha
color:Alpha\",\"Cell:TTTGCGCAGCAACGGT
group.by:Alpha
color:Alpha\",\"Cell:TACACGAAGATCCCAT
group.by:Alpha
color:Alpha\",\"Cell:GCTGCGAAGAACAACT
group.by:Alpha
color:Alpha\",\"Cell:ATAGACCAGTGATCGG
group.by:Alpha
color:Alpha\",\"Cell:CTCGTACGTTGGTTTG
group.by:Alpha
color:Alpha\",\"Cell:TGTGTTTTCATTCACT
group.by:Alpha
color:Alpha\",\"Cell:TCACGAACAGGCGATA
group.by:Alpha
color:Alpha\",\"Cell:ACTTTCAAGACACTAA
group.by:Alpha
color:Alpha\",\"Cell:GCGAGAAGTGGGTATG
group.by:Alpha
color:Alpha\",\"Cell:ACATACGAGCTATGCT
group.by:Alpha
color:Alpha\",\"Cell:CTCGAAATCGCAAACT
group.by:Alpha
color:Alpha\",\"Cell:AGTCTTTGTCTCGTTC
group.by:Alpha
color:Alpha\",\"Cell:GCGACCATCACCAGGC
group.by:Alpha
color:Alpha\",\"Cell:TCACAAGTCTGGTTCC
group.by:Alpha
color:Alpha\",\"Cell:TAGACCATCTTATCTG
group.by:Alpha
color:Alpha\",\"Cell:AGACGTTAGCCGATTT
group.by:Alpha
color:Alpha\",\"Cell:GAACCTACAGCGATCC
group.by:Alpha
color:Alpha\",\"Cell:GATTCAGAGTACGTTC
group.by:Alpha
color:Alpha\",\"Cell:GCTTGAACATTTGCTT
group.by:Alpha
color:Alpha\",\"Cell:TATTACCAGATGGGTC
group.by:Alpha
color:Alpha\",\"Cell:GGGCATCCATTTCAGG
group.by:Alpha
color:Alpha\",\"Cell:TCGGTAACAGGGTACA
group.by:Alpha
color:Alpha\",\"Cell:TTAGGACAGATGGGTC
group.by:Alpha
color:Alpha\",\"Cell:CGTCAGGCAAACGCGA
group.by:Alpha
color:Alpha\",\"Cell:GCGACCACACGTTGGC
group.by:Alpha
color:Alpha\",\"Cell:AACTCAGAGGTAGCCA
group.by:Alpha
color:Alpha\",\"Cell:GTGGGTCGTCCAGTAT
group.by:Alpha
color:Alpha\",\"Cell:TATTACCTCGTTGCCT
group.by:Alpha
color:Alpha\",\"Cell:TCACAAGAGCATGGCA
group.by:Alpha
color:Alpha\",\"Cell:GTATCTTGTACTCAAC
group.by:Alpha
color:Alpha\",\"Cell:AGGCCACCAACTGCGC
group.by:Alpha
color:Alpha\",\"Cell:AGTCTTTAGTCTCGGC
group.by:Alpha
color:Alpha\",\"Cell:CATTCGCTCGCTTGTC
group.by:Alpha
color:Alpha\",\"Cell:CTCGAGGCAAGTCTGT
group.by:Alpha
color:Alpha\",\"Cell:TTGAACGAGGAATCGC
group.by:Alpha
color:Alpha\",\"Cell:CGCGGTACATTAGGCT
group.by:Alpha
color:Alpha\",\"Cell:TGCGTGGCAGTATAAG
group.by:Alpha
color:Alpha\",\"Cell:GATCGATCAGTCGATT
group.by:Alpha
color:Alpha\",\"Cell:CTGAAACAGGAGTAGA
group.by:Alpha
color:Alpha\",\"Cell:ATGTGTGCATGGGACA
group.by:Alpha
color:Alpha\",\"Cell:GGGATGAAGGGCATGT
group.by:Alpha
color:Alpha\",\"Cell:ACGAGGACATGGTTGT
group.by:Alpha
color:Alpha\",\"Cell:ATCTGCCGTCAGAAGC
group.by:Alpha
color:Alpha\",\"Cell:TAGAGCTTCTCGCTTG
group.by:Alpha
color:Alpha\",\"Cell:CACACCTCACTGCCAG
group.by:Alpha
color:Alpha\",\"Cell:AGTCTTTCACGGACAA
group.by:Alpha
color:Alpha\",\"Cell:GTCGGGTGTGCAACTT
group.by:Alpha
color:Alpha\",\"Cell:GAAATGATCGTCCGTT
group.by:Alpha
color:Alpha\",\"Cell:GTTCGGGAGGCAATTA
group.by:Alpha
color:Alpha\",\"Cell:ACTGATGGTTCCTCCA
group.by:Alpha
color:Alpha\",\"Cell:AAGGAGCAGTACATGA
group.by:Alpha
color:Alpha\",\"Cell:ATGCGATTCGCGTAGC
group.by:Alpha
color:Alpha\",\"Cell:CATCGGGTCATTTGGG
group.by:Alpha
color:Alpha\",\"Cell:CATTCGCTCTGCTGCT
group.by:Alpha
color:Alpha\",\"Cell:CCAGCGAGTACCGTAT
group.by:Alpha
color:Alpha\",\"Cell:GAAATGACATCTACGA
group.by:Alpha
color:Alpha\",\"Cell:TGAGCATCAAGCCGCT
group.by:Alpha
color:Alpha\",\"Cell:CCACTACGTTAAGAAC
group.by:Alpha
color:Alpha\",\"Cell:CACCACTCACGAAATA
group.by:Alpha
color:Alpha\",\"Cell:ACAGCTATCAAGGCTT
group.by:Alpha
color:Alpha\",\"Cell:AAGGCAGGTCTAGCCG
group.by:Alpha
color:Alpha\",\"Cell:GTTTCTAGTCCTCTTG
group.by:Alpha
color:Alpha\",\"Cell:ACGCCGAAGCTTCGCG
group.by:Alpha
color:Alpha\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":\"rgba(255,127,0,1)\",\"size\":1.5,\"line\":{\"color\":\"rgba(255,127,0,1)\"}},\"showlegend\":true,\"visible\":true,\"name\":\"Alpha\",\"textfont\":{\"color\":\"rgba(255,127,0,1)\"},\"error_y\":{\"color\":\"rgba(255,127,0,1)\"},\"error_x\":{\"color\":\"rgba(255,127,0,1)\"},\"line\":{\"color\":\"rgba(255,127,0,1)\"},\"frame\":null},{\"x\":[2.793688661452383,3.2613741224966946,2.6745559042654934,2.4691897696219387,3.2486630743704739,3.1013876265250149,2.3361758059225979,2.5643507307730617,2.3560041254721584,2.3313630884848537,2.6357158487997951,2.4152344530783596,2.8252738779745998,2.5578230684958401,2.7272015875540676,2.479031211730093,2.7370964354239407,2.3576153582297268],\"y\":[0.070623842870816578,0.1226136366482824,0.10801014105044304,0.053220657503232349,0.19655898014269768,0.013699082529172291,0.18593749204836785,0.27336951891146599,0.15909203687869011,0.26178195873461663,0.08589747348986565,0.15554716983996331,-0.00096622308529914491,0.10245349804125725,0.032042411958798755,0.23960020939074456,-0.01739844878949226,0.22291055122576653],\"z\":[2.2997942810812964,1.9235921746054665,2.415010178641416,2.6543135290900244,1.9238834028998391,2.1563965922156347,2.7292678004065527,2.4989740496436132,2.6990682726660742,2.7361378317633642,2.455823863104917,2.6428641920844091,2.2701818590918554,2.5116467123785986,2.4049763327399267,2.5852379446784033,2.3558253889838232,2.7110910063544287],\"text\":[\"Cell:ATCATCTGTGTTTGTG
group.by:Delta
color:Delta\",\"Cell:CCTACACGTTCTCATT
group.by:Delta
color:Delta\",\"Cell:AGCGTATTCTCGTATT
group.by:Delta
color:Delta\",\"Cell:GCCTCTAAGCTAGTCT
group.by:Delta
color:Delta\",\"Cell:GTGGGTCCATAAAGGT
group.by:Delta
color:Delta\",\"Cell:GGCAATTTCACATGCA
group.by:Delta
color:Delta\",\"Cell:TTCGGTCAGGGCATGT
group.by:Delta
color:Delta\",\"Cell:TACCTATGTCCAACTA
group.by:Delta
color:Delta\",\"Cell:GATCGCGAGCGTTGCC
group.by:Delta
color:Delta\",\"Cell:AGTGTCACATAGTAAG
group.by:Delta
color:Delta\",\"Cell:CCTCAGTGTGATAAGT
group.by:Delta
color:Delta\",\"Cell:CTGAAACGTATGGTTC
group.by:Delta
color:Delta\",\"Cell:CATTATCAGCTCCCAG
group.by:Delta
color:Delta\",\"Cell:AACTGGTGTACCGTTA
group.by:Delta
color:Delta\",\"Cell:ATCATCTGTAGGACAC
group.by:Delta
color:Delta\",\"Cell:TCAGATGCACGACGAA
group.by:Delta
color:Delta\",\"Cell:CGGTTAAAGTAGCGGT
group.by:Delta
color:Delta\",\"Cell:TCTTCGGTCTGGCGTG
group.by:Delta
color:Delta\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":\"rgba(251,154,153,1)\",\"size\":1.5,\"line\":{\"color\":\"rgba(251,154,153,1)\"}},\"showlegend\":true,\"visible\":true,\"name\":\"Delta\",\"textfont\":{\"color\":\"rgba(251,154,153,1)\"},\"error_y\":{\"color\":\"rgba(251,154,153,1)\"},\"error_x\":{\"color\":\"rgba(251,154,153,1)\"},\"line\":{\"color\":\"rgba(251,154,153,1)\"},\"frame\":null},{\"x\":[3.8172012633048,3.9640418356619778,4.0921779936514797,4.1104151076041164,4.1845375364981594,4.1118885344229641,3.8757530516348782,4.3496514624319973,3.8364697760306301,4.0921040838919582,3.8910366362296047,3.86671937167272,4.0656186407767239,4.0860859221182766,3.64369691073522,4.0735517805777492,4.0419470137320461,4.019373065825552,4.0086442297659817,3.9628754919730129,3.8232137030325832,3.784641391631216,3.8982225722037258,3.8025161093436184,4.1205469435416164,4.0269590681754055,3.834314472075552,4.1854006117545071,4.098847991820425,4.2035375899039211,4.0021592444144192,4.1749731367789211],\"y\":[-1.1458798964861781,-1.3012585361842066,-2.0352490862254053,-2.3230533321741968,-2.493720861280337,-2.9189573248270899,-1.545060189569369,-3.6142457445506007,-1.4805615266207606,-2.8548248728159815,-1.2251872738245875,-1.6241277178172022,-1.7047620733622462,-2.6839514692667872,-1.3848834355715662,-2.8300114591959864,-2.562305541837588,-1.5894029458407313,-1.9238525350932032,-1.3171585520152003,-1.3056107481364161,-1.4506988843325526,-1.7402947862986475,-1.169714810455218,-2.4311220367792994,-1.2190810163859278,-1.3806635459307581,-2.5046910961512476,-2.640328617895022,-3.2087076624277979,-1.5525943954829127,-2.5892675836924464],\"z\":[3.5603587275305761,3.0363416319647802,3.3926832323828711,3.2868349200049414,3.1031601076880468,3.1063513403693213,3.7029113417426123,2.2332950478354467,3.739574158743955,3.2407769804755224,3.1538161879340185,3.7083072310248388,3.1442126875678076,3.3176071291724218,3.7040762549201025,3.214291298941709,3.3964278345862402,3.0861770754614843,3.5408041125098242,3.0596899634161963,3.5063635950842871,3.7532853728095068,3.6653802042761816,3.5099353438178076,3.1888248568335547,2.9130816107550634,3.6451568251410498,3.0938043242255224,3.2434551363745703,2.8631963377753271,3.2229990607062353,3.077028000907041],\"text\":[\"Cell:CATCGGGCACGTTGGC
group.by:Epsilon
color:Epsilon\",\"Cell:AGATCTGGTTCGGCAC
group.by:Epsilon
color:Epsilon\",\"Cell:TACTCGCTCTTCGGTC
group.by:Epsilon
color:Epsilon\",\"Cell:GATCGTAAGTGCAAGC
group.by:Epsilon
color:Epsilon\",\"Cell:CTGGTCTAGGTGATTA
group.by:Epsilon
color:Epsilon\",\"Cell:TCAGGATTCCAGTAGT
group.by:Epsilon
color:Epsilon\",\"Cell:CTGAAACGTTCCCTTG
group.by:Epsilon
color:Epsilon\",\"Cell:CTTCTCTGTCAGAGGT
group.by:Epsilon
color:Epsilon\",\"Cell:TGGCTGGCAGTGAGTG
group.by:Epsilon
color:Epsilon\",\"Cell:GTACTTTTCAGTTCGA
group.by:Epsilon
color:Epsilon\",\"Cell:CAGAGAGAGGACCACA
group.by:Epsilon
color:Epsilon\",\"Cell:AAGACCTGTGGCTCCA
group.by:Epsilon
color:Epsilon\",\"Cell:AGAGCTTCATTCGACA
group.by:Epsilon
color:Epsilon\",\"Cell:TGAGAGGAGCCAGGAT
group.by:Epsilon
color:Epsilon\",\"Cell:TCAGCTCAGGCTATCT
group.by:Epsilon
color:Epsilon\",\"Cell:AACTGGTTCGTCCAGG
group.by:Epsilon
color:Epsilon\",\"Cell:GGGTCTGCAGCAGTTT
group.by:Epsilon
color:Epsilon\",\"Cell:CTCGAGGGTAAGTAGT
group.by:Epsilon
color:Epsilon\",\"Cell:AGCATACGTCGCGAAA
group.by:Epsilon
color:Epsilon\",\"Cell:GGGACCTGTTGGACCC
group.by:Epsilon
color:Epsilon\",\"Cell:GAAGCAGGTCTAGAGG
group.by:Epsilon
color:Epsilon\",\"Cell:ACGATACAGTCATCCA
group.by:Epsilon
color:Epsilon\",\"Cell:ACGCAGCGTTCATGGT
group.by:Epsilon
color:Epsilon\",\"Cell:ATGTGTGAGGAATTAC
group.by:Epsilon
color:Epsilon\",\"Cell:TACAGTGAGCGTTTAC
group.by:Epsilon
color:Epsilon\",\"Cell:GGGAGATGTTAAAGAC
group.by:Epsilon
color:Epsilon\",\"Cell:GGTGTTACACCTCGGA
group.by:Epsilon
color:Epsilon\",\"Cell:AGGCCACCACGAAGCA
group.by:Epsilon
color:Epsilon\",\"Cell:TTGGCAACATCATCCC
group.by:Epsilon
color:Epsilon\",\"Cell:CAGAGAGGTGTGAATA
group.by:Epsilon
color:Epsilon\",\"Cell:TGCGGGTTCCACTCCA
group.by:Epsilon
color:Epsilon\",\"Cell:TTTGCGCTCTTCCTTC
group.by:Epsilon
color:Epsilon\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":\"rgba(227,26,28,1)\",\"size\":1.5,\"line\":{\"color\":\"rgba(227,26,28,1)\"}},\"showlegend\":true,\"visible\":true,\"name\":\"Epsilon\",\"textfont\":{\"color\":\"rgba(227,26,28,1)\"},\"error_y\":{\"color\":\"rgba(227,26,28,1)\"},\"error_x\":{\"color\":\"rgba(227,26,28,1)\"},\"line\":{\"color\":\"rgba(227,26,28,1)\"},\"frame\":null},{\"x\":[-5.2168136014245556,-5.2400648182285705,-5.255031521959932,-5.2842716741885249,-5.2851273035861395,-5.2928017384219626,-5.2989471078534658,-5.300407756442258,-5.3029387178764793,-5.3057781461636946,-5.3104105399003849,-5.3267194214573159,-5.3294394726736707,-5.3326467307472667,-5.3328672936404953,-5.3331952996673637,-5.3419356849934889,-5.3424446966409391,-5.3507562536088162,-5.3547306216819539,-5.3565553120343381,-5.3586886828302029,-5.3653478532467744,-5.3691788602590602,-5.3746500517669693,-5.3833668870907134,-5.4027853598484699,-5.4153812264670433,-5.4448831944993223,-5.4565581693330705,-5.4652597327558201,-5.4661293205598582,-5.4726968212905529,-5.4808522950694512,-5.4875770208272314,-5.502905833279458,-5.5109012801907529,-5.5119207472511835,-5.5190906139019749,-5.519856886344817,-5.5271660095932775,-5.5353904581233104,-5.5355663520459029,-5.5356403082516037,-5.5377274666265439,-5.5388485978314872,-5.5408433985503107,-5.5422970180248736,-5.5517117882029421,-5.5566058862556797,-5.5578671721685158,-5.5592798250778444,-5.5600713713645851,-5.5625255946334757,-5.5700192328411937,-5.5721600652295455,-5.5844210869024815,-5.6087252567454193,-5.6110263818831285,-5.6118381281429972,-5.6136612858989672,-5.6214314687762927,-5.6282459950227395,-5.630387559034161,-5.6332184165536905,-5.6347433655884149,-5.6433981577449748,-5.6510246392704815,-5.659846488152672,-5.6612092248101646,-5.6616615165892634,-5.6704549673088893,-5.6754467623186455,-5.6757609378339753,-5.6835583906633618,-5.6888584753248077,-5.6896322364677872,-5.6899227819088569,-5.692842564071543,-5.6964947375774715,-5.6969657125406687,-5.7009134197089253,-5.701235983602575,-5.7014749024105793,-5.702811809214297,-5.706761581141909,-5.7103968749777598,-5.7123706686779698,-5.7228214224803535,-5.7285934507328866,-5.7296011355024019,-5.7298516393841892,-5.7308388554735741,-5.746624824097748,-5.7515668756254259,-5.7530260840236336,-5.7586732969480208,-5.7615795049672682,-5.7638166947377263,-5.7656492181105241,-5.7687043049009894,-5.7786079393067213,-5.7947704891763721,-5.7997202802553716,-5.8036860476779415,-5.8275477919880245,-5.8285015183549644,-5.8309849320978877,-5.8369398562764516,-5.8369808562418299,-5.837533537643659,-5.837587173303457,-5.8384346603525294,-5.8548218902605464,-5.8553414927325598,-5.8559866795345616,-5.8567590458959273,-5.8595119100490525,-5.8612611945326103,-5.8644125532203315,-5.8653693319610474,-5.866140821100613,-5.8683460567027357,-5.8691541257098443,-5.870762582456595,-5.8709556143669932,-5.8732252954134347,-5.8733691047091208,-5.8737178565425188,-5.8738993527446715,-5.8740449507417036,-5.8741177360883192,-5.8741825434325072,-5.8742340994193025,-5.8744017200811633,-5.8746941700476496,-5.8748392039502324,-5.8752093007911448,-5.8752195840626653,-5.8752475590892246,-5.8752503129008042,-5.8751596451915642,-5.874955946790239,-5.8746510956629638,-5.87247546200902,-5.8716352417871933,-5.8699439393715211,-5.8668850737940605,-5.8664295271098128,-5.8652908885746919,-5.8629953327484765,-5.8614934033965023,-5.8581567136803159,-5.8541570958156095,-5.8480939609599121,-5.8413710124879428,-5.8407334369389474,-5.8339204738975532,-5.8334153917592371,-5.8282223535145254,-5.828092729635852,-5.8277569704689691,-5.8267935234763462,-5.822857066624243,-5.8221864402394301,-5.8210455715731317,-5.8202567201588113,-5.8183083743514752,-5.8175500017671418,-5.8169167387359977,-5.814946565912245,-5.8135962843638422,-5.8108288951578908,-5.8097503355820166,-5.8074247593170227,-5.8056341306587314,-5.8052813817043418,-5.802907923950281,-5.8027151665679995,-5.802254587989407,-5.7994165881893363,-5.7972598852527399,-5.7971882060323106,-5.7916875027962194,-5.7898110377953902,-5.7867257303067907,-5.7685618962501639,-5.7668257978498589,-5.7667907460237604,-5.764298511845511,-5.7640153878606712,-5.7612971663951056,-5.7593251495411781,-5.758432891140842,-5.7555965087174554,-5.7541872163772609,-5.7531578089114683,-5.7512900449729978,-5.7503116370119232,-5.7466794005359914,-5.7446296677405568,-5.7434417727267437,-5.7428622383723678,-5.7375586815817563,-5.7347771039825277,-5.7327272850137048,-5.7288725347899918,-5.7217854864885433,-5.7217468175867223,-5.7216396055331202,-5.7168765904384697,-5.7152009271819404,-5.7139435976534578,-5.7113698603444156,-5.7106055191889631,-5.7086855096878093,-5.7062509924043319,-5.7047551910659662,-5.7014405811207114,-5.6996057432438105,-5.6979898600928571,-5.6973166619308842,-5.6969795034004855,-5.6965884214130931,-5.6925929510980158,-5.6901653540421968,-5.6878533672765004,-5.6863964492349863,-5.6854033397371833,-5.6849641580060997,-5.6790635455825633,-5.6780771965824641,-5.6777743466628223,-5.6682292624088397,-5.6640552212724957,-5.6629717922753011,-5.6602426359384825,-5.6593596255706826,-5.6591122047014162,-5.6560311618467463,-5.6552311899854253,-5.64703316247732,-5.6448098325731415,-5.6437633467989645,-5.6378355927862742,-5.6307766315162597,-5.6293168338816519,-5.6278686857242963,-5.6251580752392751,-5.6157297351301354,-5.6137385147367755,-5.604589639685682,-5.5824347834763053,-5.5605841700821674,-5.5491227488795731,-5.5360278791020781,-5.5310613446258117,-5.5292960730333167,-5.5175004540558197,-5.5174009602826155,-5.5021236584618967,-5.4939624033249004,-5.4898205133722362,-5.4868197104603968,-5.4771516230742723,-5.4691528507314846,-5.4680495097383535,-5.4659915835190471,-5.4589044079937317,-5.4540201370643286,-5.449269158107648,-5.4436912972579341,-5.4434633122654095,-5.4304104826017872,-5.4274648255185749,-5.4223073339290817,-5.4210200672538145,-5.4176813494427876,-5.4171112133207568,-5.4060131107416147,-5.3997158360722146,-5.3968520772937945,-5.3952516612129315,-5.3894122614839102,-5.3722740289869026,-5.368442470464533,-5.3642158399228741,-5.3581029131345801,-5.3579356173822541,-5.3551574161920499,-5.3525220303069609,-5.3272010428211534,-5.3238523994472393,-5.3052250974189912,-5.3033967594087494,-5.3017978006332847,-5.2700454021867484,-5.2618665776394264,-5.2553852900381397,-5.2544583475509397,-5.2008824687159469,-5.2001174322692627,-5.1940758268201979,-5.1144608556691828,-5.0921594360794193,-5.0500607102451376,-5.0404915008968283,-4.98916250818138,-4.9222963770304684,-4.8834783509998667,-4.8732256673263983,-4.7890603448837643,-4.762972970018355,-4.6734847168235625,-4.6439759769720492,-4.6029044837812716,-4.5883565894231824,-4.5338222293532784,-4.4111844373481945,-4.3835965798195984,-4.3705227734632128,-4.2351229618380586,-4.2206784234621857,-4.2176437710537318,-4.1384360705453354,-4.0762453639360254,-4.013440392350395,-4.0059918149955243,-3.9978402506389989,-3.9965606021125573,-3.947488276221558,-3.9259767944656501,-3.8867662789058079,-3.880249217477306,-3.7923102425543935,-3.7664936190957512,-3.7604331879688302,-3.6978287053857963,-3.5917950732840844,-3.5204803236787505,-3.4811579450621193,-3.4198483921323408,-2.992886874570031,-2.9860936025642459,-2.8952920620058866,-2.7816892501649764,-2.7674879399954975,-2.5986757903644477,-2.5412987577219073,-2.5170468187110622,-2.4847282415425922,-2.4809870486247902,-2.2912768260264755,-2.2331678650761448,-2.2077775525110468,-2.1882502421093797,-2.0654587491886014,-1.9850987064667778,-1.9633971005393684,-1.8150070993635146,-1.783466398475992,-1.7415315667476456,-1.7027380152884934,-1.6139213704476885,-1.4070349834612137,-1.3845673645470853,-1.3591480475790378,-1.2126610881103126,-1.0852451014224211,-1.041381605790999,-0.98631126307514094,-0.96864803833356317,-0.87953329781052203,-0.86185488862663284,-0.8364215629247016,-0.79817906357847446,-0.76022575281876947,-0.75892553426418241,-0.71901703743289669,-0.65582876778983534,-0.61994435408080617,-0.58603021337757411,-0.56461396478379222,-0.55971051142612749,-0.49921041710403785,-0.44461592028043223,-0.43421376560152952,-0.38017122118980268,-0.3459918660715543,-0.33842824914934949,-0.19973018537509601,-0.19655798518082218,-0.15206804269358443,-0.11165743046364097,0.075277315817345758,0.093010424276202222,0.16141434508485569,0.18810829105743401,0.19649195805393535,0.20303836668635722,0.22100998489032417,0.25716066975100643,0.26436927973309171,0.28464396157632282,0.29634179032430613,0.35671698104162292,0.382145962649029,0.41816723861852612,0.53738015836714403,0.54855461810088424,0.59789800783410085,0.62809505696607781,0.64350941171247755,0.69193754115020278,0.6971813052893735,0.78201219698591018,0.78956760165487705,0.8192961604801472,0.85490335996850042,0.85766404196408419,0.86054106529101815,0.91942688931173322,0.92845098964835704,0.9521767390746172,0.98277142497897096,1.0052925035392672,1.017304146762412,1.0264504171897126,1.0823986520012854,1.0886177496992173,1.1484709377633551,1.1938981557412829,1.2280126101249129,1.2337380181695985,1.2887281708766749,1.2938239029430563,1.3044528540545737,1.3045418904090205,1.3618562049008909,1.3679683710284012,1.3942544945011943,1.4067146092369831,1.4175688833695157,1.5241070033228037,1.5304233137481342,1.678597181795922,1.7707130102635942,1.8237076556344525,1.8586148924571686,1.8661291750215347,1.8810099887466596,1.9367273029386542,1.9556712656464894,1.9857175179623203,2.0065785282005399,2.0184393568795715,2.0493830243384812,2.1019662079936481,2.1066983963048838,2.1403987914148166,2.152943971110445,2.166390516144777,2.1697003567226205,2.1817651207063364,2.3233609773171815,2.356070134225059,2.410383345268996,2.4384832599729611,2.4395542262060892,2.4399133192514459,2.4466263318244921,2.4648034860707955,2.4664394669129872,2.5434493216748404,2.6163376910988028,2.6184723805519727,2.6359130623698896,2.6776822792473127,2.7072505037689369,2.7288371799799789,2.7719945360425946,2.7882512499691341,2.8767129132301585,2.8941061950170499,2.9321081549223162,2.9529874500951783,3.0169542994757257,3.0169741686721365,3.0389188673364367,3.0482973396172124,3.0679027704446815,3.0798641949092658,3.0846833503721012,3.10072400005058,3.1009683209035659,3.1228182825392294,3.1336114679686511,3.1359349889101438,3.1556196768164586,3.1942611024269123,3.1981688469899257,3.2060351614427094,3.2165511007850069,3.2334238405764331,3.2360746908115767,3.344145903554828,3.3537130388043446,3.3546630694751967,3.35785787427008,3.3697775362625166,3.3704513345162002,3.3744522705143174,3.3790167085117924,3.3818291105434479,3.4211573871049517,3.4484621045139181,3.453127959775605,3.5136829845660937,3.5203162377714197,3.5236378670685053,3.5251869333942145,3.5361497405972706,3.5692153345183764,3.6045633858533681,3.6519378988120734,3.652055238090874,3.6552243909454551,3.6747133190408268,3.6852256723832832,3.6893596977606391,3.6942473942477942,3.7125992812355388,3.7409465644809021,3.7484635622241038,3.7547017708159296,3.7676891128742325,3.7777002037507996,3.7876125803124188,3.8031302013528387,3.8083435905864582,3.8189138581118147,3.8305081370727381,3.8391899465337351,3.8445150216555977,3.8452599533060301,3.8481040179858059,3.8607113825199471,3.8659138916130336,3.8987882730271615,3.9213734541052907,3.9318024866122849,3.9346576099774722,3.944197408409964,3.9536194194253902,3.9551488257607108,3.9581723466023524,3.9604112647472327,3.9625159675318531,3.9782018566802453,3.9812551674482832,3.9888530425874658,4.0040296188114164,4.0075105948812801,4.0075479952515183,4.0210615933938971,4.0211003120226385,4.0264463158847557,4.03591823382766,4.0466409207109075,4.0469357141615374,4.0476728120679653,4.048558191097599,4.0486705147528967,4.0488386230130464,4.0511177936444209,4.0541624769120785,4.0563197300482345,4.0592177186272433,4.0619144429111911,4.0645006427084018,4.0647337974319901,4.0652838217289542,4.0719684968071235,4.071983332363498,4.0735483718704293,4.0742122051915208,4.0748084046701782,4.0772365522593752,4.0772670794029109,4.0805348526609837,4.0811469850749633,4.0830178047020667,4.0838426139641033,4.0864014041366818,4.0875378297829297,4.0881057384295669,4.0882097714564125,4.0902582599834991,4.0908627623628568,4.0909618790066693,4.0915558277619661,4.0915943131090344,4.0917833563846546,4.0927100072437339,4.0932158275098063,4.0937669967787986,4.0940813298939407,4.09377768789781,4.0937397669459434,4.092433996945676,4.0873826893563932,4.0814092329810405,4.0678649555472051,4.0637281073021354,4.062588800240559,4.06044984512444,4.0542056818884014,4.0535887096784311,4.0498412928037819,4.0396673129716101,4.0372578819685945,4.0355825826100764,4.0336473010304603,4.031222773308679,4.0173135157118409,4.0147999620719235,4.0112547640299789,4.009614838058793,4.009386580202194,4.0013852071885694,3.9991393237572739,3.9973092124419178,3.9919216518374201,3.9912037973507428,3.9873319430358825,3.9814391708859231,3.9807260113770777,3.979904821724574,3.9733044833914879,3.9644869290014535,3.9620696184143682,3.9607047629961603,3.9597278086606398,3.9588606552276677,3.9585124403076901,3.9575526670217434,3.9554253490672004,3.9478858681307742,3.9411790200598329,3.9385605978789977,3.9374570936827831,3.9309505253609713,3.9222163913119852,3.9159871150498859,3.909858418244768,3.9078277561668591,3.8937008480491082,3.8929627995735507,3.8905186380139889,3.8833146386740358,3.8767296705442096,3.8758488367732871,3.8715245396589135,3.8613887063795511,3.8581171088685693,3.8444816977617506,3.8416403363425933,3.8393994620793701,3.8367756500049066,3.8344581518702214,3.8324411520960502,3.8263812471246874,3.8262482887680109,3.7999299470462722,3.7979762722010681,3.7937048229746586,3.7924927860324118,3.7900125446484911,3.7889314475177671,3.7830148720271235,3.7765649569791426,3.7649732969535576,3.7640646329176897,3.7431639672632224,3.7333518419648222,3.7329861577961938,3.7260222262808842,3.7061054847625527,3.7001750692295934,3.6978148798568293,3.6947220820670679,3.6934252536255459,3.6840286109470224,3.6696287722558374,3.6574316971547831,3.6515006144691866,3.6507975541948667,3.6431535438198086,3.5974842745571629,3.5970172977345136,3.594243592900451,3.5848517230331085,3.5654956908491875,3.5500200033714862,3.5425504203224918,3.5367096947336623,3.5169811167092582,3.5118694944941904,3.511314082486217,3.4949153722437667,3.4761223843083422,3.4746541519417553,3.4665409805239338,3.4173207831039041,3.4091387199256116,3.393355358674369,3.3899072744779035,3.3850651070103477,3.3624436499290886,3.3547749917306602,3.3395663473752455,3.3199697308462328,3.3139020931305252,3.2867315390740792,3.2606250861230306,3.1924224127509384,3.184738895463386,3.1765461334610321,3.1612029089772742,3.1284254824709885,3.0855836699151711,3.0247963479476399,3.0153139547106167,2.8538223317566813,2.8513027626707284,2.8425711831983795,2.8380599061562117,2.798219931157913,2.7477394778620354,2.7475713922854865,2.745211371674154,2.7113806550184414,2.7090794218430863,2.6809894197627178,2.6643850872885944,2.614047149865192,2.608963653877824,2.600292142256547,2.6000132795372104,2.5759775983732358,2.559722101314021,2.5555419412895493,2.5311433677587933,2.5262965887335671,2.5092435670481574,2.5052325901814596,2.4561691353652106,2.4492548672429417,2.449022010317679,2.4479177507020489,2.4428259685279587,2.4427653605577953,2.4418773758974242,2.3950959714896913,2.3658348791991188,2.3107963657911328,2.2750477421181872,2.2708931378015018,2.2629575285751815,2.2623005188873999,2.2559242386084444,2.2555903238163642,2.2508568452176556,2.2442665043745498,2.241945123774308,2.2345406745768397,2.2298064256037295,2.1847333917266352,2.1525679516633391,2.1261806310029518,2.1209956262713718,2.1041317208541099,2.0488201539061275,2.0478556833877364,2.02933631215899,2.0274599879931903],\"y\":[-3.1961858757761483,-3.1555751046283067,-3.1291488785017254,-3.0768239811630291,-3.0752782258917315,-3.0613749837628497,-3.0501905832642944,-3.0475254155255262,-3.0429010202686468,-3.0377034521216237,-3.0292018933122722,-2.9990480321513084,-2.9939840648333313,-2.9879999220670612,-2.9875878667205953,-2.9869749603963807,-2.9705867546714213,-2.969628988181872,-2.953936147166091,-2.9463959314435115,-2.942926098495799,-2.938862822068613,-2.926134204512675,-2.9187798028379146,-2.9082358135572912,-2.8913350879651984,-2.8532153619652405,-2.8281225448264626,-2.7681225591642522,-2.7438658025207774,-2.7255837042126383,-2.7237468514676215,-2.7098150077428085,-2.6923656680410173,-2.6778493196945212,-2.6443055965318401,-2.6265465147151561,-2.6242686568090567,-2.6081602051568011,-2.6064293396274811,-2.5898268912825277,-2.5709394204584521,-2.5705330333109893,-2.5703621330811535,-2.5655314556933435,-2.5629305221398777,-2.5582921036660999,-2.554903416898187,-2.532774926539997,-2.5211445825590415,-2.5181327489022274,-2.5147523056188903,-2.5128548269346287,-2.5069562854753582,-2.4887995260415838,-2.4835709489077167,-2.4532556959710803,-2.3911503929371398,-2.385120036155727,-2.3829861967290342,-2.3781810374102359,-2.3575013683704134,-2.3390879025446005,-2.3332456412614548,-2.3254810603001665,-2.3212782964920553,-2.2971509585232894,-2.2754859414859587,-2.249922067850064,-2.2459227786052471,-2.2445923534071115,-2.2184141523865222,-2.2032788895509272,-2.2023193839868829,-2.1782332079612097,-2.1615504202464786,-2.1590929651227153,-2.1581687258846145,-2.1488356268989612,-2.1370433955664616,-2.1355129378547582,-2.1225947012141138,-2.1215319507405841,-2.1207440728899729,-2.1163241207268526,-2.1031521051640687,-2.0908742192213405,-2.0841437905149323,-2.0477123457727631,-2.0269782801370337,-2.0233108747687529,-2.0223969242226851,-2.0187862887700838,-1.9590001442402918,-1.9394138747777647,-1.9335435341427027,-1.9104286999089712,-1.8982756216800567,-1.8887945168130409,-1.880943968623745,-1.8676805848756819,-1.823199688182483,-1.745096851594341,-1.7195562739617745,-1.6984550992920686,-1.5561347723996584,-1.5497513534915841,-1.5328079964397463,-1.4900728362944522,-1.4897672090061085,-1.485630851473327,-1.4852277854395302,-1.4788195612769968,-1.335555162865619,-1.3301860475011091,-1.3234194463307387,-1.3151662221457927,-1.2842306799634304,-1.2631292475909639,-1.2214330138782974,-1.2075915746535115,-1.1959319744496055,-1.1595478017715324,-1.1447762303022966,-1.1121127352419653,-1.1078227260938507,-1.0474297348693462,-1.0426562828413335,-1.0302753424648261,-1.0232834380775455,-1.0173364553110864,-1.0142327401246813,-1.0113869535958213,-1.0090629471159898,-1.0010851047151061,-0.98508835780632042,-0.97566474532856284,-0.93937092181907,-0.93762204218365619,-0.93208677512635396,-0.893646815086792,-0.87851504329874741,-0.85815425810163126,-0.83735158970857093,-0.75470179731056153,-0.73265931568456522,-0.69494396419926585,-0.63963856113601225,-0.63233240438312843,-0.61485227156195998,-0.58240855303092154,-0.56280401019429416,-0.52276010572467912,-0.47961304135243327,-0.42138809682554856,-0.36402484784437306,-0.35889460042785343,-0.3067971767074078,-0.30311348816266243,-0.26646700640248078,-0.26557908254263551,-0.26328483839531375,-0.25674664083164167,-0.23069127511022794,-0.22635223766663101,-0.2190338668610961,-0.214019036087503,-0.20178687203048987,-0.19708299923786413,-0.19317905079985959,-0.18116862146979945,-0.17305159005302034,-0.15669274920075993,-0.15041384340631359,-0.13705153157085304,-0.1269207778279689,-0.12494072141254738,-0.11174791831770688,-0.11068621469388791,-0.10815515628836518,-0.092735470935784339,-0.081213099549657025,-0.080832953775996336,-0.052173624883588662,-0.042618584675302634,-0.027138410012647204,0.058860772490682126,0.066671630221114747,0.066828664881649374,0.077927715373016848,0.079180422970776224,0.091124626935013359,0.099698033391567048,0.10355236932879813,0.11570470221977905,0.12168728093021022,0.12603444095959995,0.13387371756044128,0.13795579322492374,0.15297228252541359,0.16135449269915658,0.16618293323268873,0.16853088730783561,0.18979132731109263,0.20078459842988763,0.20881951720785377,0.22378236547010866,0.25081575004780543,0.25096162942127076,0.2513659998758746,0.26919999750872337,0.27541477194056585,0.28005826203327122,0.28951159930603282,0.29230581863956229,0.2992986243606397,0.30811226514075712,0.31349862188701733,0.32535794494399528,0.33187836466250353,0.33759499748558364,0.3399696078652728,0.34115734789258034,0.34253376811111264,0.35651813314960873,0.36494699952709042,0.37292792168561539,0.37793424261076258,0.38133677749415584,0.38283890417220756,0.40287060061026247,0.40619236709133349,0.4072107777928895,0.43895484294450227,0.45262807734994775,0.45615713361936616,0.46501091287615098,0.46786463382436305,0.46866330378748478,0.47857444601099336,0.48113748301357184,0.50716411942257222,0.5141492447543109,0.51742644496102486,0.53586433472457839,0.55754962616735892,0.56199836083585963,0.56639969082567088,0.57460645531766175,0.60283935661380617,0.60874135504189475,0.63559592813088273,0.69892797647288485,0.75920760310811508,0.79002098138663901,0.82458436284423642,0.83752025507362771,0.84209566121054258,0.87237241359561368,0.87262563017241979,0.91108927451905253,0.93130406333301152,0.94147675377096562,0.94881100349540404,0.97223865872766357,0.99139206647905476,0.99401802430241692,0.99890560123409466,1.0156358569311499,1.0270749958143175,1.0381317137757848,1.0510253596049837,1.0515503704971356,1.0813511514331531,1.0880070716938541,1.0996002128488065,1.1024818121869502,1.1099335584516523,1.1112028759448467,1.135727985130506,1.1494908364835368,1.1557134128916162,1.1591811020466471,1.1717742907529283,1.2082043239522826,1.2162423086084591,1.2250644946278384,1.2377417538892417,1.2380873405524977,1.2438157989207004,1.2492314639308206,1.3003697157406646,1.307012851284832,1.3434658224175795,1.3469985404894409,1.3500814758802782,1.4100489746637157,1.4251145186990875,1.4369440915868978,1.4386281113691068,1.5330315202855829,1.5343420518952735,1.5446583283799709,1.6757824075768737,1.7111348788194864,1.7765051595370074,1.791135095592566,1.8683077181846721,1.9659113472626077,2.0212412292986439,2.0357055953828733,2.1522881189173746,2.1876995670542456,2.3068495693671793,2.3454069806913251,2.3985123556894794,2.4171720278106701,2.4864490165373776,2.6386362843592068,2.6722306093583876,2.6880728024178562,2.8493320169629976,2.8662450527419798,2.8697914611008928,2.9615330237220494,3.0324860657660619,3.1032141077949817,3.1115420729715231,3.1206415643740444,3.1220686521298724,3.1765174720791345,3.2002171208416805,3.2431558643765679,3.2502603072253189,3.34524113969018,3.3728170582070183,3.3792704997667191,3.445494595367304,3.5558583948150266,3.6288380599001595,3.6686562295135525,3.7301464850074089,4.1387917264634195,4.1450203202210991,4.2274557685602954,4.3284430514363255,4.3408988299533231,4.4860731779542515,4.5341932062487595,4.5543441084501888,4.5810227733317817,4.5840981565399517,4.7364857982694293,4.7817451116568712,4.8013085042375732,4.8162659301246968,4.9085360194109162,4.9672242985860917,4.982838697003185,5.0868700900458315,5.108354959340625,5.1365717698529076,5.1623165813493985,5.2199371025392001,5.3467330394562067,5.359852077376158,5.3745356034994476,5.4557713495378071,5.521527044807744,5.5430538885320946,5.5692449261036101,5.5774443265244509,5.6172787819325798,5.6248698159621577,5.6356054761850594,5.651329970757125,5.6664290828933703,5.6669372762043757,5.6822383544928519,5.7052616553747253,5.7176601668612195,5.7289143665166957,5.7357843962131332,5.7373312081200609,5.7555982423833036,5.7707458301381429,5.7734837749864996,5.7869219603141753,5.7947228270735058,5.7963741621274485,5.8215987403284801,5.8220587053024273,5.8279284195980461,5.8322941850792036,5.8394393824245912,5.8388906626058139,5.8344702226619196,5.8318090479162521,5.8308703255884993,5.8301037936626487,5.8278506506811052,5.8226759300009254,5.8215442782936648,5.8181885259014559,5.816138276734061,5.8042799686717768,5.7986705303396251,5.7901302107997914,5.7572182294713778,5.7537883143574522,5.737977475053091,5.7277816894045506,5.7224293941894278,5.7049819605275527,5.7030363955270751,5.6700897636021335,5.6670243995175174,5.6547615347274203,5.6396585876852461,5.6384690443777741,5.6372265529157666,5.6111732932720928,5.6070775209887866,5.5961809596768779,5.5818593575531228,5.5711256426780773,5.5653353162949797,5.5608959879726712,5.5331790621718833,5.5300393265015453,5.4992344460652012,5.4751571871597928,5.4566895589298197,5.453558111865294,5.4230196464046427,5.420147778830402,5.4141347961147064,5.4140842974449752,5.3811358145444972,5.3775704882313686,5.3621252686425995,5.3547407389134953,5.3482749757844603,5.2832060103783629,5.2792578947990583,5.1837997223758112,5.1217521522060734,5.0851285098628383,5.0606361468638177,5.0553255529001948,5.0447687852526375,5.0047692896190643,4.9909992920899473,4.9689817463349444,4.9535666533997711,4.9447551344566953,4.9216057243267839,4.8817302238458993,4.8781082705070942,4.852153819526082,4.8424198262059628,4.8319426422005138,4.829356730589998,4.8199073767808551,4.7062052995911472,4.6791842318737258,4.6336626249946722,4.6097827027647957,4.6088680502181134,4.6085612939741676,4.602819745168663,4.5872064943062423,4.5857964655240853,4.5184991129970129,4.453051639606052,4.4511077467479687,4.4351658794778412,4.3965394719309101,4.3687987942624584,4.3483284425951583,4.306822038904043,4.2909765260649131,4.2025194166002171,4.184640354519308,4.1449489416352678,4.1227465952595725,4.0527323983408374,4.0527101334996072,4.027899971960113,4.0171567795585119,3.9942885665099657,3.9800222254534856,3.9742066477075269,3.95456702467275,3.9542645144372108,3.9267981499714009,3.9129274967093637,3.9099150447943622,3.884015392081817,3.8311771976455304,3.8256842304218597,3.8145425077891493,3.7994708447762644,3.7748612680014566,3.7709466632747355,3.5997803714681322,3.5834974796152372,3.5818701303140408,3.5763837128392248,3.5557239978271094,3.5545471312036194,3.5475390566353426,3.5395020445453009,3.5345276669636854,3.4631500499176688,3.4115430640353881,3.4025511155856929,3.2810626600834021,3.267195116174983,3.2602078525643594,3.2569394107395779,3.2336273427963942,3.1613413424492323,3.0806288761922977,2.9664479820545893,2.9661561166345853,2.9582556974371794,2.908912218976297,2.8817389695145192,2.8709428545940225,2.8580969264607621,2.8090552934989916,2.7306655143950915,2.7093114726210019,2.6914015290851472,2.6535492200269246,2.623831929699973,2.5939263376971264,2.546103910621496,2.5297504003356539,2.4961310701454984,2.458514083968367,2.4298149373241977,2.4119776039372849,2.4094677620283793,2.3998521271031463,2.3565730810694441,2.3383910836969983,2.2187008975833273,2.1310139664899692,2.0887774032000479,2.077003602539603,2.0369631851329819,1.9962869684267082,1.9895714008304131,1.9761981385807719,1.96621020580491,1.9567533495164011,1.8840507345864974,1.8694054419651547,1.8321854541703015,1.7541034511055864,1.7353956211940413,1.7351928365549467,1.6591737488420111,1.6589473683791995,1.6271573635367642,1.5679226422882986,1.4952830427022257,1.4931846064687755,1.4879108845603362,1.4815244834641439,1.4807101520313966,1.4794896326662101,1.4627277501779099,1.439668701157337,1.4228212624073666,1.399443648652233,1.3768251860197187,1.3542365181276079,1.3521524560935152,1.3472027939694473,1.2826475741504633,1.2824936113723842,1.2659243853840889,1.2586871621575588,1.2520716438751902,1.2238484932892548,1.2234791182596851,1.1816789237553618,1.1732813052313644,1.1462480701878472,1.1335775592417172,1.0904927858346847,1.0689863927858534,1.0575202031584769,1.0553603075141842,1.0079907011256084,0.99163476650033999,0.98880938168369337,0.97083930266438978,0.9696051209363421,0.96339895502604755,0.92840075754347751,0.9040544864014044,0.8671793214590815,0.82541436117003553,0.7455726572537863,0.7422685468177338,0.67090070993798034,0.53451331898538412,0.43198767512760111,0.26632657570952212,0.22486757325332149,0.21394696641411234,0.19395801116834832,0.13894761498209779,0.13375108587620008,0.1029953880816553,0.02547223025068434,0.0081967347728031451,-0.0036012065996976275,-0.01702259680777897,-0.033538375148906091,-0.12268691891222946,-0.13790598868559198,-0.15896524944983875,-0.1685532852917726,-0.16988036964129891,-0.2153110856933789,-0.22770343040194518,-0.23769236926964515,-0.26655510542162741,-0.27034198495808798,-0.29053944675651866,-0.32057626043287196,-0.3241564971392813,-0.32826485665233562,-0.36075175697883055,-0.4027630447290062,-0.41402161361742762,-0.42033150320812263,-0.42482765467494249,-0.42880436694079338,-0.43039755357816795,-0.43477789425918933,-0.44443045923117741,-0.47803721978170061,-0.50718397214659428,-0.51838208062809099,-0.52307192351395693,-0.5503801320645435,-0.58615513814287012,-0.61108923149090089,-0.63517522817335537,-0.64306200029792393,-0.69670743860574014,-0.69945380046209538,-0.70851052842498352,-0.73487073592949037,-0.75854548671109323,-0.76168286405602914,-0.77698699196934817,-0.81223928367796905,-0.82343918548867068,-0.86922882700540871,-0.87859669215461578,-0.88594397112755019,-0.89450172960978158,-0.90202050809356527,-0.90853427507578832,-0.92793899446602823,-0.9283620057761981,-1.0099020303341242,-1.0157890047732929,-1.0285843285795573,-1.0321963245728834,-1.0395622288488604,-1.0427622765086313,-1.0601626607292229,-1.0789188314291445,-1.1120885723694922,-1.1146602750111565,-1.1727233745639303,-1.1992913956527729,-1.2002733875898952,-1.2188729612009161,-1.2710478629391599,-1.2863046998333261,-1.2923423942803192,-1.3002251511800207,-1.3035207195343392,-1.3272315074689949,-1.3630108822220064,-1.3928140913604425,-1.4071464410109058,-1.408838586437942,-1.427145146050075,-1.5332447935042375,-1.5343024299770687,-1.5405737105573183,-1.5616734489013371,-1.6045222322668085,-1.6381918821506749,-1.6542635557659717,-1.6667514052368047,-1.7084348309601314,-1.7191132435646161,-1.7202705800549833,-1.7541864009862926,-1.7924669303270457,-1.7954320994306638,-1.8117519108175584,-1.9085086041744952,-1.9242380637759919,-1.9543112553803801,-1.9608349465575605,-1.9699687630255187,-2.0122249023849936,-2.0263986435977555,-2.0542895696914996,-2.0898117756048458,-2.1007182284861643,-2.1490416464517836,-2.1947108438531111,-2.3107694953287545,-2.323568300654979,-2.337156974359706,-2.3624464347088452,-2.4157997978448202,-2.4842263449196929,-2.5789579493876893,-2.5935010931215805,-2.8325568762006861,-2.836168160516146,-2.848657207476998,-2.8550942041865244,-2.9114896680097773,-2.9818323579070327,-2.982064580055801,-2.985323747406543,-3.0317672027754026,-3.0349079139207054,-3.0730605463798337,-3.0954558139029147,-3.1626634552637136,-3.1693948831150669,-3.1808544934595817,-3.1812225392605411,-3.2128346248179369,-3.2340923007158815,-3.2395431814689024,-3.2712334643067948,-3.2775036253097163,-3.2994997109118223,-3.3046587691166374,-3.3673290203695081,-3.3760973499837732,-3.3763923803010538,-3.3777912437089057,-3.3842364172001238,-3.3843130849684679,-3.3854362324240004,-3.4442583579431383,-3.4807128902578057,-3.5486100018494651,-3.5922602089595301,-3.5973108678496941,-3.6069453482436833,-3.6077422701760713,-3.6154705374684188,-3.6158749613702783,-3.6216048416750639,-3.629572803168426,-3.6323767734610257,-3.6413113078710997,-3.6470165406951383,-3.7010534805648758,-3.7393138972764834,-3.7705199472469864,-3.7766330002060675,-3.7964732695599461,-3.8611066414786959,-3.8622278109476302,-3.8837181167641597,-3.8858914507206999],\"z\":[3.6137247792123866,3.5382588992615096,3.4892541056928823,3.3924911699884839,3.3896384869798921,3.3639960950270855,3.3433895131862346,3.3384819721276524,3.329969441692179,3.3204058891649675,3.3047723900311552,3.2494199388478084,3.2401395764463232,3.229178754489999,3.2284242518465791,3.2273020333672369,3.1973209790004153,3.1955703469385601,3.1669111994846699,3.1531576341661922,3.1468322891502796,3.1394281398480683,3.1162552357864528,3.1028812475066343,3.0837264717186974,3.0530725992263719,2.98416219045503,2.9389825706563046,2.8315757760195268,2.7884164958585202,2.7559926366614205,2.7527400045881856,2.7281006565505348,2.6973178693883519,2.671776136067006,2.612993948349823,2.5820110472086575,2.5780441051066156,2.5500372808168144,2.5470327993764847,2.518262452856737,2.4856408149174793,2.4849402036613695,2.484645587994637,2.4763219485608907,2.4718435315318348,2.4638624473949529,2.4580362434622489,2.4200854782219769,2.4002060243380896,2.3950655593437715,2.3892997048573612,2.3860650057985295,2.3760175518611932,2.3451662408481653,2.3363036366012833,2.2851115607836125,2.1812930194156595,2.1712898167562571,2.1677535265448848,2.1597966203823451,2.1256549159724432,2.0953952522834061,2.0858223476106734,2.0731205748087134,2.0662554582581953,2.0269811647099218,1.9919160107341116,1.950788354189247,1.9443787129431704,1.9422479237694759,1.9004720743545653,1.8764506518770458,1.8749310823708825,1.836914601821839,1.810729397155161,1.806882357600138,1.8054361785956843,1.7908532449622554,1.7724821778366917,1.7701023379980554,1.7500555728451295,1.74840963929462,1.7471897351742625,1.7403512069732792,1.7200226620192798,1.7011432354803291,1.6908224446795446,1.6353082250266193,1.6039805050993785,1.5984595806317832,1.5970846669507495,1.5916566709440219,1.5026439591585059,1.4738404387890411,1.4652421145610022,1.431541225259735,1.4139220847904339,1.4002245523064001,1.3889145198273145,1.369871950781012,1.3064826157107279,1.1967743385503105,1.1613316007164411,1.1322081087061331,0.9394483488038321,0.93094944368659682,0.90845101958340635,0.85208916625905107,0.851688055851612,0.84626216861310288,0.8457337172995627,0.83733852447946533,0.65279314621824325,0.64599196045216001,0.63743219553400321,0.62700939899000308,0.58811250690647832,0.56173439587579055,0.50997500561175135,0.4928989493847426,0.47855532265099759,0.43403353520015475,0.41606045871506869,0.37652576618491979,0.37135448935625465,0.29907304267985646,0.29340089862265806,0.27871679647461822,0.2704419064088055,0.26341369940430082,0.25974934989496168,0.25639171956878637,0.25365127684457867,0.24425455313159589,0.22546237196218638,0.21442289461060218,0.17211878829766289,0.17008880041506455,0.16366895270918297,0.11930054213256142,0.1019374567429035,0.078665040924424001,0.05499460282477793,-0.037990285215878286,-0.062506107970281555,-0.1041799505025964,-0.16467099253470743,-0.1726075474376392,-0.19154444498643092,-0.22650028538207559,-0.24750262277167079,-0.29012201604083088,-0.33562674690048933,-0.3963529950838941,-0.45542372755243665,-0.46067034989012162,-0.51361389814664182,-0.51733435929245408,-0.55418167790465622,-0.55507075570937037,-0.55736716998989211,-0.56390513667197162,-0.58986541062956666,-0.59417401588692398,-0.60143163473279371,-0.60639800966892676,-0.61848872475530747,-0.62312943138964494,-0.62697725909282354,-0.63879403072393748,-0.64676225080512284,-0.66277731371771109,-0.66890871958590337,-0.6819284701516356,-0.69177355201405077,-0.69369516173500467,-0.70647676479121235,-0.70750373132127742,-0.70995099001909745,-0.72483010763222222,-0.7359148883036567,-0.7362801072199131,-0.76372414947676559,-0.77283461573886492,-0.78755281480836759,-0.86838368199867644,-0.87564694540847476,-0.87579283783916206,-0.88609109341907522,-0.88725177514360243,-0.89830181429602818,-0.90621475018207931,-0.90976708503773607,-0.92094665122549779,-0.92643886386922358,-0.93042496053439916,-0.93760303844486304,-0.94133567732156398,-0.95499658910416807,-0.96256748366358835,-0.96691109491343741,-0.96901871027209685,-0.98796869982125679,-0.99767428820509785,-1.0047288288008791,-1.0177793439475551,-1.0410794556831018,-1.0412042392468985,-1.0415500806151605,-1.0567266995247382,-1.0619809273696799,-1.0658952590292976,-1.0738341659570863,-1.0761731148660703,-1.082011444374861,-1.0893395171162776,-1.0938014309358095,-1.1035816919500023,-1.1089337224721536,-1.1136114108751274,-1.1155504814354595,-1.1165195001347541,-1.117641728432736,-1.1289997334531618,-1.1358075482887544,-1.1422275829784583,-1.1462420160154481,-1.1489648443111085,-1.1501654711245919,-1.1660939072229628,-1.168720573915967,-1.1695250497260889,-1.1944096491458127,-1.2050167016269857,-1.2077437226898469,-1.2145663319570594,-1.2167596229487341,-1.2173729595254232,-1.2249661518512056,-1.226924362273373,-1.2466857723719549,-1.2519517892296095,-1.2544170432278838,-1.2682234623674062,-1.2843265887217123,-1.2876124776769489,-1.2908575177882389,-1.2968928737278549,-1.3175056404177858,-1.3217858576585251,-1.3411388620901332,-1.3860196115063059,-1.427812149401529,-1.4488512937867171,-1.472205158135276,-1.4808813717001224,-1.4839419577796944,-1.50408952969481,-1.5042572746672642,-1.5295969138658694,-1.5428054760864958,-1.5494250738052526,-1.5541865029910769,-1.5693347479035826,-1.5816520280934419,-1.5833361474192407,-1.5864678166625783,-1.5971593529048236,-1.6044449267167651,-1.6114683537637,-1.6196360576792577,-1.6199681278487532,-1.638753894803286,-1.6429330632986903,-1.6501982587089301,-1.6520013824827138,-1.6566592758351246,-1.6574519888110271,-1.6727290915438457,-1.6812704281118405,-1.6851249654550378,-1.6872710837131217,-1.6950535304056848,-1.7174710179481887,-1.7223990271568552,-1.7278006161704662,-1.7355497463645728,-1.7357607835644082,-1.7392573768805899,-1.7425603588570078,-1.7736295221782037,-1.7776509032419594,-1.7996651061764872,-1.8017941807730731,-1.8036516017087973,-1.8396874242403081,-1.8487177774289207,-1.8558037069768016,-1.8568110305343348,-1.9098295732535759,-1.9105204937685363,-1.9159186899295546,-1.9786954180505478,-1.9939232681351098,-2.0203767140908124,-2.0260088352106895,-2.0540829356259329,-2.0859282429955801,-2.1023113774662354,-2.1064063408598588,-2.1367332829050176,-2.1450484604786246,-2.1701911485639034,-2.1774388800731281,-2.1867476708087277,-2.1898381655552286,-2.2005185537065777,-2.2198173588155052,-2.2233466622607838,-2.2249228970373007,-2.2378759055857751,-2.23891902158381,-2.2391303797392728,-2.2437256074213896,-2.2461555948273948,-2.2476334838231082,-2.2477466590575266,-2.2478558253000021,-2.2478715761577379,-2.2481972347133818,-2.2481729260885404,-2.2478757702227155,-2.2477954007803955,-2.2458822228337301,-2.2450379820638746,-2.2448218589622777,-2.2422008159792393,-2.2362220319733526,-2.2311802588893404,-2.2280684856278827,-2.222766086361081,-2.1723382146665475,-2.1713647108955056,-2.1578911870250019,-2.1398733559448635,-2.1375338952559395,-2.1083195682499971,-2.0978241236457422,-2.0933052698021921,-2.087208452432284,-2.0864972132841411,-2.0489957509634817,-2.0369675630283064,-2.0316355571117,-2.0275036848237593,-2.0009171803597434,-1.9829712152458963,-1.9780530362342097,-1.9436339897408168,-1.9361454189500429,-1.9260980474900553,-1.9167122319342018,-1.8949013967309902,-1.8424300628068719,-1.8365970260967381,-1.8299668613450921,-1.7911362164560825,-1.7565297396964612,-1.744444235476674,-1.7291495711476994,-1.7242157504201088,-1.6991186220488557,-1.6940998512302974,-1.6868566287660238,-1.6759151221636377,-1.6649973303835011,-1.6646222728473965,-1.6530774531743997,-1.6346694794906953,-1.6241466151207036,-1.6141563234785579,-1.6078252491712437,-1.6063732730727549,-1.5883851529989192,-1.5720384050510043,-1.5689116653597832,-1.5526058514139278,-1.5422407673435865,-1.5399416422547452,-1.4974425377480824,-1.4964631824605568,-1.4826941734529633,-1.4701340885930119,-1.4114007751482534,-1.4056869889712313,-1.3819566998551438,-1.3720161096398265,-1.3688200207153209,-1.366300308237796,-1.3592766705648049,-1.3446917833442196,-1.3417130010400034,-1.3332136215751904,-1.3282300006943026,-1.3016246170245682,-1.2899976752603308,-1.2731261812514405,-1.2142185256520979,-1.2084738510891915,-1.182687836269293,-1.1665843139116889,-1.1582736784733352,-1.1317828917598998,-1.1288809142877818,-1.0810788696838725,-1.0767467111524598,-1.0595887039379681,-1.0388103272875506,-1.0371893134083248,-1.035498479237589,-1.0005631803731236,-0.99515598757471202,-0.98087477151423086,-0.96232433291056663,-0.94857580493559501,-0.94121166066177997,-0.93558991689857751,-0.90094220517333068,-0.89706429714083347,-0.85948824222349374,-0.83067874960316823,-0.80889148995326665,-0.8052227757183662,-0.76981809651008037,-0.7665224767576243,-0.7596405810039184,-0.75958288930589224,-0.72230220344809126,-0.71831031614818941,-0.70110948846288723,-0.692937783537388,-0.6858100728788149,-0.6154444136445032,-0.61125216960439788,-0.51242507238237445,-0.45068523692320894,-0.41513104189220085,-0.39171563420065619,-0.38667655672481405,-0.37669962618344882,-0.33937968594638185,-0.32670837172384803,-0.30663484963709886,-0.29271798380457947,-0.28481365481619819,-0.26422383596028604,-0.22935802047397533,-0.22622892183211954,-0.20399151455243514,-0.19573574747084185,-0.18690121791412975,-0.18472898332761281,-0.17681911710693374,-0.085133249063487473,-0.064317498167810142,-0.030128046821844601,-0.012643972779623001,-0.011980581877613979,-0.011758198357106654,-0.0076055626258086304,0.0035930818406048129,0.0045976318168730566,0.051199602623290527,0.093884493394470414,0.095110652409976432,0.10507286353074667,0.12850373158304146,0.14469221703627325,0.15628228883190237,0.17881641037665119,0.18706463081647687,0.22922661075931869,0.23689161752777843,0.25278427723122227,0.26096262418609606,0.28308616325516567,0.28309225076460298,0.2894725226633118,0.29197786192928749,0.29710105357020233,0.30025792645801824,0.30153625981531457,0.305817082352345,0.30588258604211072,0.3117757022287943,0.31471131260245899,0.31534531811060562,0.32074426788348948,0.33147401976997298,0.33256780677818615,0.33477398403321557,0.33773195376289594,0.34249698332364759,0.34324756373116744,0.37411082216708896,0.37684918318559185,0.3771209817547998,0.37803480225792785,0.38144106606608696,0.38163344449107839,0.38277533168671529,0.38407707386156709,0.38487859070055064,0.39602757095704005,0.40367714926522313,0.40497453579315057,0.42146227943541975,0.42321998475450084,0.42409587450152181,0.42450334544823387,0.42736801055015294,0.43578301030179567,0.44433000814072299,0.45484998219200345,0.4548744631445073,0.45553239536098844,0.45943349166752817,0.46142695942489875,0.46218810242399916,0.46307073094603202,0.4662078888795258,0.47044209575389206,0.47142548846885257,0.4721931245599551,0.47364188311766298,0.47461182897431586,0.47543682925232361,0.47643534842266688,0.47668476063795417,0.47704758114925022,0.47721058797378502,0.4771591672593587,0.47704930908168686,0.47702901341518417,0.47694014746307301,0.47631964107689378,0.47594977046966502,0.47184088856292905,0.46689335469822868,0.46389177563422168,0.46298095515931337,0.45963604476288011,0.45583734525220787,0.45517047579796793,0.45380843205521343,0.4527613696556112,0.45174628507657266,0.44315336848636966,0.44124885462832258,0.43613747585968654,0.42410077152606951,0.42094183249919193,0.4209069910097627,0.40691134461841988,0.4068668133059693,0.4004390783117116,0.38750938069463664,0.36985987653240116,0.3693191794957742,0.36795244207950495,0.36628217947015573,0.36606800415637192,0.36574648855045677,0.36126866110861044,0.35491564653212726,0.35012952254232554,0.34328097114215622,0.33641947285216584,0.32932927398172834,0.32866290814724675,0.32707190854214624,0.30520713263089294,0.30515243256183117,0.29919200867534285,0.29654223405429014,0.29409508069771012,0.28338125914065992,0.28323808171783404,0.26695055820776659,0.26365786295644889,0.25301064101174403,0.24799504147451371,0.23081730570751674,0.22217065047069057,0.21754071600600994,0.21666700735489097,0.19737909493686082,0.1906624856533784,0.18949924093531201,0.18207996055650405,0.18156908197940155,0.17899750321571711,0.16441411747265675,0.15418654579364877,0.13856418192949135,0.12067528969589124,0.085884897205732544,0.084428038352380372,0.052619627767366173,-0.010041961507719518,-0.05884697502755875,-0.14098649106316768,-0.16220684670749269,-0.167842096673121,-0.17820662917229868,-0.20706722209530853,-0.20981937918216581,-0.22620064253682395,-0.26820617745516745,-0.27770884164979848,-0.28422870086133956,-0.29167572020913507,-0.30088378727781706,-0.35144171741828534,-0.36021947796816878,-0.3724375144737781,-0.37802807977825459,-0.37880325110476154,-0.40554394033759489,-0.41290750066530324,-0.41886481704080436,-0.43618881759790323,-0.43847404275679547,-0.45071080407965358,-0.4690608743676935,-0.47126033912621956,-0.47378747596558379,-0.49389306403708771,-0.52021875947011276,-0.52733697719123207,-0.53133818950883105,-0.5341944640014944,-0.53672435817103203,-0.53773885810569944,-0.54053095309949528,-0.54669821233810079,-0.56832791398026727,-0.58728751636100363,-0.59462182144431086,-0.5977017941954017,-0.61573417615305059,-0.63961373767452734,-0.6564313890956599,-0.67281482277256432,-0.6782091507166268,-0.71529527629280343,-0.71721257539930416,-0.72354832278675718,-0.74210348716726271,-0.75891509211950137,-0.76115347830768143,-0.77210784382390352,-0.79756696123348725,-0.805722239829196,-0.83940420535504656,-0.84636309359900042,-0.85183734652741405,-0.85823169345989347,-0.86386594274033102,-0.86875939766943788,-0.88340532367860747,-0.88372573809340849,-0.94641519077513059,-0.95101362389890642,-0.96104253813273433,-0.96388212360953052,-0.96968453397080989,-0.97221023030732789,-0.98599594488061215,-1.0009551460002661,-1.0276655378260751,-1.0297502059120653,-1.0773537000551854,-1.0994839056760135,-1.1003061065022923,-1.1159292752491878,-1.1602624695650552,-1.1733673995474669,-1.1785711125596026,-1.1853800479718555,-1.1882317197002874,-1.2088362962407899,-1.2402188340399465,-1.2666256135850573,-1.2794105112292111,-1.2809236337633871,-1.2973430132611092,-1.3942855285521834,-1.3952671048135679,-1.4010935320665867,-1.4207737220588921,-1.4611048284678547,-1.4931380772060292,-1.5085343310184789,-1.52054439738856,-1.5609298185867861,-1.5713489854800253,-1.5724800153142187,-1.6057800778153897,-1.6437248034226062,-1.6466797970782587,-1.6629842351761077,-1.7610534955411912,-1.7772217263016439,-1.8083078324301398,-1.8150813214937105,-1.8245828417452308,-1.8688118633039477,-1.8837470383969948,-1.913281729122956,-1.9511752319748532,-1.9628718794881683,-2.0150453060071443,-2.0648723605843147,-2.1937326334576941,-2.2081369148467189,-2.2234717781180322,-2.2521246799310539,-2.3130551502920311,-2.392142828081155,-2.5033491066837597,-2.5205947803257911,-2.8104533549538209,-2.8149217389361807,-2.8303949014656293,-2.8383820143722378,-2.9087061395101652,-2.9972831630590426,-2.997577139740125,-3.0017040843980558,-3.0607293428528801,-3.0647353545496605,-3.1135440736873594,-3.1423177717928796,-3.2292053513409322,-3.2379517951331795,-3.2528599395849027,-3.25333911945701,-3.294583990888754,-3.3224155553224146,-3.329564473072796,-3.3712258761990048,-3.3794888043965332,-3.4085271541115834,-3.415349485099568,-3.4985700797462829,-3.510263954741391,-3.510657633927579,-3.5125244210893651,-3.5211295244477152,-3.5212319249177,-3.5227321509675598,-3.601578484687161,-3.6507100348900252,-3.7427483557307943,-3.8022735921845139,-3.8091786713749767,-3.822360579789537,-3.8234515148981956,-3.8340356429728186,-3.8345897459270568,-3.8424427369070906,-3.8533707017453578,-3.8572184131399814,-3.8694859733849309,-3.8773253069981508,-3.9517952773114593,-4.0047592675947827,-4.0480993761309332,-4.0566040770608556,-4.0842393081339425,-4.1746068920478852,-4.1761789816596782,-4.206341658931775,-4.2093951162937815],\"text\":[\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\"],\"type\":\"scatter3d\",\"mode\":\"lines\",\"line\":{\"color\":\"#1B9E77\",\"width\":6,\"reverscale\":false},\"name\":\"Lineage1\",\"showlegend\":true,\"visible\":true,\"marker\":{\"color\":\"rgba(188,189,34,1)\",\"line\":{\"color\":\"rgba(188,189,34,1)\"}},\"error_y\":{\"color\":\"rgba(188,189,34,1)\"},\"error_x\":{\"color\":\"rgba(188,189,34,1)\"},\"frame\":null}],\"highlight\":{\"on\":\"plotly_click\",\"persistent\":false,\"dynamic\":false,\"selectize\":false,\"opacityDim\":0.20000000000000001,\"selected\":{\"opacity\":1},\"debounce\":0},\"shinyEvents\":[\"plotly_hover\",\"plotly_click\",\"plotly_selected\",\"plotly_relayout\",\"plotly_brushed\",\"plotly_brushing\",\"plotly_clickannotation\",\"plotly_doubleclick\",\"plotly_deselect\",\"plotly_afterplot\",\"plotly_sunburstclick\"],\"base_url\":\"https://plot.ly\"},\"evals\":[],\"jsHooks\":[]}"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellScoring.html","id":null,"dir":"Reference","previous_headings":"","what":"CellScoring — CellScoring","title":"CellScoring — CellScoring","text":"CellScoring","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellScoring.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"CellScoring — CellScoring","text":"","code":"CellScoring(   srt,   features = NULL,   slot = \"data\",   assay = NULL,   split.by = NULL,   IDtype = \"symbol\",   species = \"Homo_sapiens\",   db = \"GO_BP\",   termnames = NULL,   db_update = FALSE,   db_version = \"latest\",   convert_species = TRUE,   Ensembl_version = 103,   mirror = NULL,   minGSSize = 10,   maxGSSize = 500,   method = \"Seurat\",   classification = TRUE,   name = \"\",   new_assay = FALSE,   BPPARAM = BiocParallel::bpparam(),   seed = 11,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellScoring.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"CellScoring — CellScoring","text":"seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellScoring.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"CellScoring — CellScoring","text":"","code":"data(\"pancreas_sub\") ccgenes <- CC_GenePrefetch(\"Mus_musculus\") #> Using cached conversion results for Mus_musculus pancreas_sub <- CellScoring(   srt = pancreas_sub,   features = list(S = ccgenes$cc_S_genes, G2M = ccgenes$cc_G2M_genes),   method = \"Seurat\", name = \"CC\" ) #> Data is raw counts. Perform NormalizeData(LogNormalize) on the data ... #> Number of feature lists to be scored: 2 #> [2023-09-01 05:09:01.773499] Start CellScoring #> Workers: 1 #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 05:09:01.976128] CellScoring done #> Elapsed time:0.2 secs CellDimPlot(pancreas_sub, \"CC_classification\")  FeatureDimPlot(pancreas_sub, \"CC_G2M\")   if (FALSE) { data(\"panc8_sub\") panc8_sub <- Integration_SCP(panc8_sub,   batch = \"tech\", integration_method = \"Seurat\" ) CellDimPlot(panc8_sub, group.by = c(\"tech\", \"celltype\"))  panc8_sub <- CellScoring(   srt = panc8_sub, slot = \"data\", assay = \"RNA\",   db = \"GO_BP\", species = \"Homo_sapiens\",   minGSSize = 10, maxGSSize = 100,   method = \"Seurat\", name = \"GO\", new_assay = TRUE ) panc8_sub <- Integration_SCP(panc8_sub,   assay = \"GO\",   batch = \"tech\", integration_method = \"Seurat\" ) CellDimPlot(panc8_sub, group.by = c(\"tech\", \"celltype\"))  pancreas_sub <- CellScoring(   srt = pancreas_sub, slot = \"data\", assay = \"RNA\",   db = \"GO_BP\", species = \"Mus_musculus\",   termnames = panc8_sub[[\"GO\"]]@meta.features[, \"termnames\"],   method = \"Seurat\", name = \"GO\", new_assay = TRUE ) pancreas_sub <- Standard_SCP(pancreas_sub, assay = \"GO\") CellDimPlot(pancreas_sub, \"SubCellType\")  pancreas_sub[[\"tech\"]] <- \"Mouse\" panc_merge <- Integration_SCP(   srtList = list(panc8_sub, pancreas_sub),   assay = \"GO\",   batch = \"tech\", integration_method = \"Seurat\" ) CellDimPlot(panc_merge, group.by = c(\"tech\", \"celltype\", \"SubCellType\", \"Phase\"))  genenames <- make.unique(capitalize(rownames(panc8_sub[[\"RNA\"]]), force_tolower = TRUE)) panc8_sub <- RenameFeatures(panc8_sub, newnames = genenames, assay = \"RNA\") head(rownames(panc8_sub)) panc_merge <- Integration_SCP(   srtList = list(panc8_sub, pancreas_sub),   assay = \"RNA\",   batch = \"tech\", integration_method = \"Seurat\" ) CellDimPlot(panc_merge, group.by = c(\"tech\", \"celltype\", \"SubCellType\", \"Phase\")) }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellStatPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"Statistical plot of cells — CellStatPlot","title":"Statistical plot of cells — CellStatPlot","text":"Statistical plot cells","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellStatPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Statistical plot of cells — CellStatPlot","text":"","code":"CellStatPlot(   srt,   stat.by,   group.by = NULL,   split.by = NULL,   bg.by = NULL,   cells = NULL,   flip = FALSE,   NA_color = \"grey\",   NA_stat = TRUE,   keep_empty = FALSE,   individual = FALSE,   stat_level = NULL,   plot_type = c(\"bar\", \"rose\", \"ring\", \"pie\", \"trend\", \"area\", \"dot\", \"sankey\", \"chord\",     \"venn\", \"upset\"),   stat_type = c(\"percent\", \"count\"),   position = c(\"stack\", \"dodge\"),   palette = \"Paired\",   palcolor = NULL,   alpha = 1,   bg_palette = \"Paired\",   bg_palcolor = NULL,   bg_apha = 0.2,   label = FALSE,   label.size = 3.5,   label.fg = \"black\",   label.bg = \"white\",   label.bg.r = 0.1,   aspect.ratio = NULL,   title = NULL,   subtitle = NULL,   xlab = NULL,   ylab = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE,   force = FALSE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellStatPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Statistical plot of cells — CellStatPlot","text":"srt Seurat object. stat.name metadata column counted. seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellStatPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Statistical plot of cells — CellStatPlot","text":"","code":"library(dplyr) data(\"pancreas_sub\") CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"SubCellType\", label = TRUE)  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"SubCellType\", label = TRUE) %>% panel_fix(height = 2, width = 3)  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"SubCellType\", stat_type = \"count\", position = \"dodge\", label = TRUE)  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"SubCellType\", bg.by = \"CellType\", palette = \"Set1\", stat_type = \"count\", position = \"dodge\")   CellStatPlot(pancreas_sub, stat.by = \"Phase\", plot_type = \"bar\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", plot_type = \"rose\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", plot_type = \"ring\") #> Warning: Removed 1 rows containing missing values (`position_stack()`).  CellStatPlot(pancreas_sub, stat.by = \"Phase\", plot_type = \"pie\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", plot_type = \"dot\")   CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", plot_type = \"bar\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", plot_type = \"rose\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", plot_type = \"ring\") #> Warning: Removed 1 rows containing missing values (`position_stack()`).  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", plot_type = \"area\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", plot_type = \"dot\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", plot_type = \"trend\")   CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", plot_type = \"bar\", individual = TRUE)   CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", stat_type = \"count\", plot_type = \"bar\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", stat_type = \"count\", plot_type = \"rose\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", stat_type = \"count\", plot_type = \"ring\") #> Warning: Removed 1 rows containing missing values (`position_stack()`).  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", stat_type = \"count\", plot_type = \"area\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", stat_type = \"count\", plot_type = \"dot\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", stat_type = \"count\", plot_type = \"trend\")   CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", stat_type = \"count\", plot_type = \"bar\", position = \"dodge\", label = TRUE)  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", stat_type = \"count\", plot_type = \"rose\", position = \"dodge\", label = TRUE)  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", stat_type = \"count\", plot_type = \"ring\", position = \"dodge\", label = TRUE) #> Warning: Removed 1 rows containing missing values (`geom_col()`). #> Warning: Removed 1 rows containing missing values (`geom_text_repel()`).   CellStatPlot(pancreas_sub, stat.by = c(\"CellType\", \"Phase\"), plot_type = \"sankey\")  CellStatPlot(pancreas_sub, stat.by = c(\"CellType\", \"Phase\"), plot_type = \"chord\")   CellStatPlot(pancreas_sub,   stat.by = c(\"CellType\", \"Phase\"), plot_type = \"venn\",   stat_level = list(CellType = c(\"Ductal\", \"Ngn3 low EP\"), Phase = \"S\") )  pancreas_sub$Progenitor <- pancreas_sub$CellType %in% c(\"Ngn3 low EP\", \"Ngn3 high EP\") pancreas_sub$G2M <- pancreas_sub$Phase == \"G2M\" pancreas_sub$Sox9_Expressed <- pancreas_sub[[\"RNA\"]]@counts[\"Sox9\", ] > 0 pancreas_sub$Neurog3_Expressed <- pancreas_sub[[\"RNA\"]]@counts[\"Neurog3\", ] > 0 CellStatPlot(pancreas_sub, stat.by = c(\"Progenitor\", \"G2M\", \"Sox9_Expressed\", \"Neurog3_Expressed\"), plot_type = \"venn\", stat_level = \"TRUE\")  CellStatPlot(pancreas_sub, stat.by = c(\"Progenitor\", \"G2M\", \"Sox9_Expressed\", \"Neurog3_Expressed\"), plot_type = \"upset\", stat_level = \"TRUE\")  sum(pancreas_sub$Progenitor == \"FALSE\" &   pancreas_sub$G2M == \"FALSE\" &   pancreas_sub$Sox9_Expressed == \"TRUE\" &   pancreas_sub$Neurog3_Expressed == \"FALSE\") #> [1] 218"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ComBat_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"Combat_integrate — ComBat_integrate","title":"Combat_integrate — ComBat_integrate","text":"Combat_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ComBat_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Combat_integrate — ComBat_integrate","text":"","code":"ComBat_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   linear_reduction = \"pca\",   linear_reduction_dims = 50,   linear_reduction_dims_use = NULL,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   ComBat_params = list(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ComBat_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Combat_integrate — ComBat_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". linear_reduction linear reduction method name. Can one \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Dimensions calculate performing linear reduction. linear_reduction_dims_use dimensions use performing nonlinear reduction. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Conos_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"Conos_integrate — Conos_integrate","title":"Conos_integrate — Conos_integrate","text":"Conos_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Conos_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Conos_integrate — Conos_integrate","text":"","code":"Conos_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   linear_reduction = \"pca\",   linear_reduction_dims = 50,   linear_reduction_dims_use = NULL,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   buildGraph_params = list(),   num_threads = 2,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Conos_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Conos_integrate — Conos_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". linear_reduction linear reduction method name. Can one \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Dimensions calculate performing linear reduction. linear_reduction_dims_use dimensions use performing nonlinear reduction. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CreateDataFile.html","id":null,"dir":"Reference","previous_headings":"","what":"CreateDataFile — CreateDataFile","title":"CreateDataFile — CreateDataFile","text":"CreateDataFile","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CreateDataFile.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"CreateDataFile — CreateDataFile","text":"","code":"CreateDataFile(   srt,   DataFile,   name = NULL,   assays = \"RNA\",   slots = \"data\",   compression_level = 6,   overwrite = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CreateDataFile.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"CreateDataFile — CreateDataFile","text":"srt  overwrite","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CreateMetaFile.html","id":null,"dir":"Reference","previous_headings":"","what":"CreateMetaFile — CreateMetaFile","title":"CreateMetaFile — CreateMetaFile","text":"CreateMetaFile","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CreateMetaFile.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"CreateMetaFile — CreateMetaFile","text":"","code":"CreateMetaFile(   srt,   MetaFile,   name = NULL,   write_tools = FALSE,   write_misc = FALSE,   ignore_nlevel = 100,   compression_level = 6,   overwrite = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CreateMetaFile.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"CreateMetaFile — CreateMetaFile","text":"srt  overwrite","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DefaultReduction.html","id":null,"dir":"Reference","previous_headings":"","what":"Find the default reduction name in a Seurat object. — DefaultReduction","title":"Find the default reduction name in a Seurat object. — DefaultReduction","text":"Find default reduction name Seurat object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DefaultReduction.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Find the default reduction name in a Seurat object. — DefaultReduction","text":"","code":"DefaultReduction(srt, pattern = NULL, min_dim = 2, max_distance = 0.1)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DefaultReduction.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Find the default reduction name in a Seurat object. — DefaultReduction","text":"srt Seurat object. pattern Character string containing regular expression search . min_dim Minimum dimension threshold. max_distance Maximum distance allowed match.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DefaultReduction.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Find the default reduction name in a Seurat object. — DefaultReduction","text":"Default reduction name.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DefaultReduction.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Find the default reduction name in a Seurat object. — DefaultReduction","text":"","code":"data(\"pancreas_sub\") names(pancreas_sub@reductions) #> [1] \"PCA\"  \"UMAP\" DefaultReduction(pancreas_sub) #> [1] \"UMAP\"  # Searches for matches to \"pca\" DefaultReduction(pancreas_sub, pattern = \"pca\") #> [1] \"PCA\"  # Searches for approximate matches to \"pc\" DefaultReduction(pancreas_sub, pattern = \"pc\") #> [1] \"PCA\""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DynamicHeatmap.html","id":null,"dir":"Reference","previous_headings":"","what":"Heatmap plot for dynamic features along lineages — DynamicHeatmap","title":"Heatmap plot for dynamic features along lineages — DynamicHeatmap","text":"Heatmap plot dynamic features along lineages","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DynamicHeatmap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Heatmap plot for dynamic features along lineages — DynamicHeatmap","text":"","code":"DynamicHeatmap(   srt,   lineages,   features = NULL,   num_intersections = NULL,   use_fitted = FALSE,   border = TRUE,   flip = FALSE,   min_expcells = 20,   r.sq = 0.2,   dev.expl = 0.2,   padjust = 0.05,   cell_density = 1,   cell_bins = 100,   order_by = c(\"peaktime\", \"valleytime\"),   slot = \"counts\",   assay = NULL,   exp_method = c(\"zscore\", \"raw\", \"fc\", \"log2fc\", \"log1p\"),   legend_title = NULL,   limits = NULL,   lib_normalize = identical(slot, \"counts\"),   libsize = NULL,   family = NULL,   cluster_features_by = NULL,   cluster_rows = FALSE,   cluster_row_slices = FALSE,   cluster_columns = FALSE,   cluster_column_slices = FALSE,   show_row_names = FALSE,   show_column_names = FALSE,   row_names_side = ifelse(flip, \"left\", \"right\"),   column_names_side = ifelse(flip, \"bottom\", \"top\"),   row_names_rot = 0,   column_names_rot = 90,   row_title = NULL,   column_title = NULL,   row_title_side = \"left\",   column_title_side = \"top\",   row_title_rot = 0,   column_title_rot = ifelse(flip, 90, 0),   feature_split = NULL,   feature_split_by = NULL,   n_split = NULL,   split_order = NULL,   split_method = c(\"mfuzz\", \"kmeans\", \"kmeans-peaktime\", \"hclust\", \"hclust-peaktime\"),   decreasing = FALSE,   fuzzification = NULL,   show_fuzzification = FALSE,   anno_terms = FALSE,   anno_keys = FALSE,   anno_features = FALSE,   terms_width = unit(4, \"in\"),   terms_fontsize = 8,   keys_width = unit(2, \"in\"),   keys_fontsize = c(6, 10),   features_width = unit(2, \"in\"),   features_fontsize = c(6, 10),   IDtype = \"symbol\",   species = \"Homo_sapiens\",   db_update = FALSE,   db_version = \"latest\",   db_combine = FALSE,   convert_species = FALSE,   Ensembl_version = 103,   mirror = NULL,   db = \"GO_BP\",   TERM2GENE = NULL,   TERM2NAME = NULL,   minGSSize = 10,   maxGSSize = 500,   GO_simplify = FALSE,   GO_simplify_cutoff = \"p.adjust < 0.05\",   simplify_method = \"Wang\",   simplify_similarityCutoff = 0.7,   pvalueCutoff = NULL,   padjustCutoff = 0.05,   topTerm = 5,   show_termid = FALSE,   topWord = 20,   min_word_length = 3,   exclude_words = c(\"cell\", \"cellular\", \"dna\", \"rna\", \"protein\", \"development\",     \"involved\", \"organization\", \"system\", \"regulation\", \"positive\", \"negative\",     \"response\", \"process\"),   nlabel = 20,   features_label = NULL,   label_size = 10,   label_color = \"black\",   pseudotime_label = NULL,   pseudotime_label_color = \"black\",   pseudotime_label_linetype = 2,   pseudotime_label_linewidth = 3,   heatmap_palette = \"viridis\",   heatmap_palcolor = NULL,   pseudotime_palette = \"cividis\",   pseudotime_palcolor = NULL,   feature_split_palette = \"simspec\",   feature_split_palcolor = NULL,   cell_annotation = NULL,   cell_annotation_palette = \"Paired\",   cell_annotation_palcolor = NULL,   cell_annotation_params = list(),   feature_annotation = NULL,   feature_annotation_palette = \"Dark2\",   feature_annotation_palcolor = NULL,   feature_annotation_params = list(),   separate_annotation = NULL,   separate_annotation_palette = \"Paired\",   separate_annotation_palcolor = NULL,   separate_annotation_params = if (flip) list(width = grid::unit(2, \"cm\")) else     list(height = grid::unit(2, \"cm\")),   reverse_ht = NULL,   use_raster = NULL,   raster_device = \"png\",   raster_by_magick = FALSE,   height = NULL,   width = NULL,   units = \"inch\",   seed = 11,   ht_params = list() )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DynamicHeatmap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Heatmap plot for dynamic features along lineages — DynamicHeatmap","text":"db_combine","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DynamicHeatmap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Heatmap plot for dynamic features along lineages — DynamicHeatmap","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\") #> Warning: Removed 8 rows containing missing values (`geom_path()`). #> Warning: Removed 8 rows containing missing values (`geom_path()`).  pancreas_sub <- RunDynamicFeatures(pancreas_sub, lineages = c(\"Lineage1\", \"Lineage2\"), n_candidates = 200) #> [2023-09-01 05:09:31.114175] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 225 #> Calculate dynamic features for Lineage1... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> Calculate dynamic features for Lineage2... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 05:09:54.188138] RunDynamicFeatures done #> Elapsed time:23.07 secs ht1 <- DynamicHeatmap(   srt = pancreas_sub,   lineages = \"Lineage1\",   n_split = 5,   split_method = \"kmeans-peaktime\",   cell_annotation = \"SubCellType\" ) #> 151 features from Lineage1 passed the threshold (exp_ncells>20 & r.sq>0.2 & dev.expl>0.2 & padjust<0.05):  #> Gcg,Iapp,Pyy,Chgb,Slc38a5,Rbp4,Lrpprc,Cck,2810417H13Rik,Chga... #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> The size of the heatmap will be fixed as some elements are not scalable. ht1$plot  panel_fix(ht1$plot, raster = TRUE, dpi = 50)   ht2 <- DynamicHeatmap(   srt = pancreas_sub,   lineages = \"Lineage1\",   features = c(\"Sox9\", \"Neurod2\", \"Isl1\", \"Rbp4\", \"Pyy\", \"S_score\", \"G2M_score\"),   cell_annotation = \"SubCellType\" ) #> [2023-09-01 05:09:57.515134] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 2 #> Warning: Negative values detected! #> Warning: Negative values detected! #> Calculate dynamic features for Lineage1... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 05:09:59.089623] RunDynamicFeatures done #> Elapsed time:1.57 secs #> Some features were missing in at least one lineage:  #> Isl1,Neurod2,Pyy,Rbp4,Sox9... #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht2$plot  panel_fix(ht2$plot, height = 5, width = 5, raster = TRUE, dpi = 50)   ht3 <- DynamicHeatmap(   srt = pancreas_sub,   lineages = c(\"Lineage1\", \"Lineage2\"),   n_split = 5,   split_method = \"kmeans\",   cluster_rows = TRUE,   cell_annotation = \"SubCellType\" ) #> 169 features from Lineage1,Lineage2 passed the threshold (exp_ncells>20 & r.sq>0.2 & dev.expl>0.2 & padjust<0.05):  #> Gcg,Iapp,Pyy,Chgb,Slc38a5,Rbp4,Lrpprc,Cck,2810417H13Rik,Chga... #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> The size of the heatmap will be fixed as some elements are not scalable. ht3$plot   pancreas_sub <- AnnotateFeatures(pancreas_sub, species = \"Mus_musculus\", db = c(\"TF\", \"CSPA\")) #> Species: Mus_musculus #> Loading cached db: TF version:AnimalTFDB4 nterm:2 created:2023-09-01 05:02:35.648729 #> Loading cached db: CSPA version:CSPA nterm:1 created:2023-09-01 05:02:38.740619 ht4 <- DynamicHeatmap(   srt = pancreas_sub,   lineages = c(\"Lineage1\", \"Lineage2\"),   reverse_ht = \"Lineage1\",   use_fitted = TRUE,   n_split = 6,   split_method = \"mfuzz\",   heatmap_palette = \"viridis\",   cell_annotation = c(\"SubCellType\", \"Phase\", \"G2M_score\"),   cell_annotation_palette = c(\"Paired\", \"simspec\", \"Purples\"),   separate_annotation = list(\"SubCellType\", c(\"Nnat\", \"Irx1\")),   separate_annotation_palette = c(\"Paired\", \"Set1\"),   separate_annotation_params = list(height = grid::unit(2, \"cm\")),   feature_annotation = c(\"TF\", \"CSPA\"),   feature_annotation_palcolor = list(c(\"gold\", \"steelblue\"), c(\"forestgreen\")),   pseudotime_label = 25,   pseudotime_label_color = \"red\" ) #> 169 features from Lineage1,Lineage2 passed the threshold (exp_ncells>20 & r.sq>0.2 & dev.expl>0.2 & padjust<0.05):  #> Gcg,Iapp,Pyy,Chgb,Slc38a5,Rbp4,Lrpprc,Cck,2810417H13Rik,Chga... #> Warning: no DISPLAY variable so Tk is not available #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> The size of the heatmap will be fixed as some elements are not scalable. #> Picking joint bandwidth of 20.1 #> Picking joint bandwidth of 18.6 #> Picking joint bandwidth of 20.1 #> Picking joint bandwidth of 18.6 ht4$plot   ht5 <- DynamicHeatmap(   srt = pancreas_sub,   lineages = c(\"Lineage1\", \"Lineage2\"),   reverse_ht = \"Lineage1\",   use_fitted = TRUE,   n_split = 6,   split_method = \"mfuzz\",   heatmap_palette = \"viridis\",   cell_annotation = c(\"SubCellType\", \"Phase\", \"G2M_score\"),   cell_annotation_palette = c(\"Paired\", \"simspec\", \"Purples\"),   separate_annotation = list(\"SubCellType\", c(\"Nnat\", \"Irx1\")),   separate_annotation_palette = c(\"Paired\", \"Set1\"),   separate_annotation_params = list(width = grid::unit(2, \"cm\")),   feature_annotation = c(\"TF\", \"CSPA\"),   feature_annotation_palcolor = list(c(\"gold\", \"steelblue\"), c(\"forestgreen\")),   pseudotime_label = 25,   pseudotime_label_color = \"red\",   flip = TRUE, column_title_rot = 45 ) #> 169 features from Lineage1,Lineage2 passed the threshold (exp_ncells>20 & r.sq>0.2 & dev.expl>0.2 & padjust<0.05):  #> Gcg,Iapp,Pyy,Chgb,Slc38a5,Rbp4,Lrpprc,Cck,2810417H13Rik,Chga... #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> The size of the heatmap will be fixed as some elements are not scalable. #> Picking joint bandwidth of 20.1 #> Picking joint bandwidth of 18.6 #> Picking joint bandwidth of 20.1 #> Picking joint bandwidth of 18.6 ht5$plot   ht6 <- DynamicHeatmap(   srt = pancreas_sub,   lineages = c(\"Lineage1\", \"Lineage2\"),   reverse_ht = \"Lineage1\",   cell_annotation = \"SubCellType\",   n_split = 5, split_method = \"mfuzz\",   species = \"Mus_musculus\", db = \"GO_BP\",   anno_terms = TRUE, anno_keys = TRUE, anno_features = TRUE ) #> 169 features from Lineage1,Lineage2 passed the threshold (exp_ncells>20 & r.sq>0.2 & dev.expl>0.2 & padjust<0.05):  #> Gcg,Iapp,Pyy,Chgb,Slc38a5,Rbp4,Lrpprc,Cck,2810417H13Rik,Chga... #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> [2023-09-01 05:10:23.650974] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Preparing database: GO_BP #> Convert ID types for the database: GO_BP #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 22192 genes mapped with entrez_id #> ============================== #> 22192 genes mapped #> 6372 genes unmapped #> ============================== #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 05:12:37.512394] Enrichment done #> Elapsed time:2.23 mins #> The size of the heatmap will be fixed as some elements are not scalable. ht6$plot"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DynamicPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot for dynamic features along lineages. — DynamicPlot","title":"Plot for dynamic features along lineages. — DynamicPlot","text":"Plot dynamic features along lineages.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DynamicPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot for dynamic features along lineages. — DynamicPlot","text":"","code":"DynamicPlot(   srt,   features,   lineages,   group.by = NULL,   cells = NULL,   slot = \"counts\",   assay = NULL,   family = NULL,   exp_method = c(\"log1p\", \"raw\", \"zscore\", \"fc\", \"log2fc\"),   lib_normalize = identical(slot, \"counts\"),   libsize = NULL,   compare_lineages = TRUE,   compare_features = FALSE,   add_line = TRUE,   add_interval = TRUE,   line.size = 1,   line_palette = \"Dark2\",   line_palcolor = NULL,   add_point = TRUE,   pt.size = 1,   point_palette = \"Paired\",   point_palcolor = NULL,   add_rug = TRUE,   flip = FALSE,   reverse = FALSE,   x_order = c(\"value\", \"rank\"),   aspect.ratio = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DynamicPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot for dynamic features along lineages. — DynamicPlot","text":"seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DynamicPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot for dynamic features along lineages. — DynamicPlot","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\") #> Warning: Removed 8 rows containing missing values (`geom_path()`). #> Warning: Removed 8 rows containing missing values (`geom_path()`).  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", lineages = paste0(\"Lineage\", 1:3), lineages_span = 0.1)  DynamicPlot(   srt = pancreas_sub,   lineages = \"Lineage1\",   features = c(\"Nnat\", \"Irx1\", \"G2M_score\"),   group.by = \"SubCellType\",   compare_features = TRUE ) #> [2023-09-01 05:13:48.806756] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 3 #> Warning: Negative values detected! #> Calculate dynamic features for Lineage1... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 05:13:50.632871] RunDynamicFeatures done #> Elapsed time:1.83 secs  DynamicPlot(   srt = pancreas_sub,   lineages = c(\"Lineage1\", \"Lineage2\"),   features = c(\"Nnat\", \"Irx1\", \"G2M_score\"),   group.by = \"SubCellType\",   compare_lineages = TRUE,   compare_features = FALSE ) #> [2023-09-01 05:13:51.215201] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 3 #> Warning: Negative values detected! #> Calculate dynamic features for Lineage1... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 05:13:52.998822] RunDynamicFeatures done #> Elapsed time:1.78 secs #> [2023-09-01 05:13:53.000644] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 3 #> Warning: Negative values detected! #> Calculate dynamic features for Lineage2... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 05:13:54.595554] RunDynamicFeatures done #> Elapsed time:1.59 secs  DynamicPlot(   srt = pancreas_sub,   lineages = c(\"Lineage1\", \"Lineage2\"),   features = c(\"Nnat\", \"Irx1\", \"G2M_score\"),   group.by = \"SubCellType\",   compare_lineages = FALSE,   compare_features = FALSE ) #> [2023-09-01 05:13:55.97397] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 3 #> Warning: Negative values detected! #> Calculate dynamic features for Lineage1... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 05:13:57.70531] RunDynamicFeatures done #> Elapsed time:1.73 secs #> [2023-09-01 05:13:57.707161] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 3 #> Warning: Negative values detected! #> Calculate dynamic features for Lineage2... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 05:13:59.307736] RunDynamicFeatures done #> Elapsed time:1.6 secs"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/EnrichmentPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"EnrichmentPlot — EnrichmentPlot","title":"EnrichmentPlot — EnrichmentPlot","text":"EnrichmentPlot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/EnrichmentPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"EnrichmentPlot — EnrichmentPlot","text":"","code":"EnrichmentPlot(   srt,   db = \"GO_BP\",   group_by = NULL,   test.use = \"wilcox\",   res = NULL,   plot_type = c(\"bar\", \"dot\", \"lollipop\", \"network\", \"enrichmap\", \"wordcloud\",     \"comparison\"),   group_use = NULL,   id_use = NULL,   pvalueCutoff = NULL,   padjustCutoff = 0.05,   compare_only_sig = FALSE,   topTerm = ifelse(plot_type == \"enrichmap\", 100, 6),   topWord = 100,   word_type = c(\"term\", \"feature\"),   word_size = c(2, 8),   min_word_length = 3,   network_layout = \"fr\",   network_labelsize = 5,   network_blendmode = \"blend\",   network_layoutadjust = TRUE,   network_adjscale = 60,   network_adjiter = 100,   enrichmap_layout = \"fr\",   enrichmap_cluster = \"fast_greedy\",   enrichmap_label = c(\"term\", \"feature\"),   enrichmap_labelsize = 5,   enrlichmap_nlabel = 4,   enrichmap_show_keyword = FALSE,   enrichmap_mark = c(\"ellipse\", \"hull\"),   enrichmap_expand = c(0.5, 0.5),   exclude_words = c(\"cell\", \"cellular\", \"dna\", \"rna\", \"protein\", \"development\",     \"involved\", \"organization\", \"system\", \"regulation\", \"positive\", \"negative\",     \"response\", \"process\"),   character_width = 50,   lineheight = 0.7,   palette = \"Spectral\",   palcolor = NULL,   aspect.ratio = 1,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/EnrichmentPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"EnrichmentPlot — EnrichmentPlot","text":"plot_type Type plot visualized. pvalueCutoff pvalueCutoff padjustCutoff padjustCutoff topTerm Number terms plot plot_type=\"bar\" plot_type=\"lollipop\". topWord Number features plot plot_type=\"wordcloud\". palette palette combine combine nrow nrow ncol ncol byrow byrow seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/EnrichmentPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"EnrichmentPlot — EnrichmentPlot","text":"","code":"library(dplyr) data(\"pancreas_sub\") pancreas_sub <- RunDEtest(pancreas_sub, group_by = \"CellType\") #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. #> [2023-09-01 05:14:05.58213] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 5 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 05:14:08.965127] DEtest done #> Elapsed time:3.38 secs pancreas_sub <- RunEnrichment(srt = pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", species = \"Mus_musculus\") #> [2023-09-01 05:14:08.967873] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-01 05:12:05.52538 #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 05:14:52.583952] Enrichment done #> Elapsed time:43.62 secs EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Endocrine\", plot_type = \"bar\")  EnrichmentPlot(pancreas_sub,   db = \"GO_BP\", group_by = \"CellType\", group_use = c(\"Ductal\", \"Endocrine\"),   plot_type = \"bar\", character_width = 30,   theme_use = ggplot2::theme_classic, theme_args = list(base_size = 10) )  EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", topTerm = 3, plot_type = \"comparison\") #> Warning: Vectorized input to `element_text()` is not officially supported. #> ℹ Results may be unexpected or may change in future versions of ggplot2.  EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", topTerm = 3, plot_type = \"comparison\", compare_only_sig = TRUE) #> Warning: Vectorized input to `element_text()` is not officially supported. #> ℹ Results may be unexpected or may change in future versions of ggplot2.    EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = c(\"Ductal\", \"Endocrine\"), plot_type = \"bar\", ncol = 1)  EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = c(\"Ductal\", \"Endocrine\"), plot_type = \"dot\", ncol = 1, palette = \"GdRd\")  EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = c(\"Ductal\", \"Endocrine\"), plot_type = \"lollipop\", ncol = 1, palette = \"GdRd\")  EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = c(\"Ductal\", \"Endocrine\"), plot_type = \"wordcloud\") #> Some words could not fit on page. They have been removed. #> Some words could not fit on page. They have been removed.  EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = c(\"Ductal\", \"Endocrine\"), plot_type = \"wordcloud\", word_type = \"feature\") #> Some words could not fit on page. They have been removed. #> Some words could not fit on page. They have been removed.  EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = c(\"Ductal\", \"Endocrine\"), plot_type = \"comparison\") #> Warning: Vectorized input to `element_text()` is not officially supported. #> ℹ Results may be unexpected or may change in future versions of ggplot2.   EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\", plot_type = \"network\")  EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\", plot_type = \"network\", id_use = c(\"GO:0050678\", \"GO:0035270\", \"GO:0090276\", \"GO:0030073\"))  EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\", plot_type = \"network\", network_layoutadjust = FALSE)  EnrichmentPlot(pancreas_sub,   db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\", plot_type = \"network\",   topTerm = 4, network_blendmode = \"average\",   theme_use = \"theme_blank\", theme_args = list(add_coord = FALSE) ) %>% panel_fix(height = 5)   EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\", plot_type = \"enrichmap\")  EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\", plot_type = \"enrichmap\", enrichmap_expand = c(2, 1))  EnrichmentPlot(pancreas_sub,   db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\", plot_type = \"enrichmap\",   enrichmap_show_keyword = TRUE, character_width = 10 )  EnrichmentPlot(pancreas_sub,   db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\", plot_type = \"enrichmap\",   topTerm = 200, enrichmap_mark = \"hull\", enrichmap_label = \"feature\", enrlichmap_nlabel = 3, character_width = 10,   theme_use = \"theme_blank\", theme_args = list(add_coord = FALSE) ) %>% panel_fix(height = 4)   pancreas_sub <- RunEnrichment(srt = pancreas_sub, db = c(\"MP\", \"DO\"), group_by = \"CellType\", convert_species = TRUE, species = \"Mus_musculus\") #> [2023-09-01 05:15:29.037171] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Preparing database: MP #> Preparing database: DO #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 05:15:53.793963] Enrichment done #> Elapsed time:24.76 secs EnrichmentPlot(pancreas_sub, db = c(\"MP\", \"DO\"), group_by = \"CellType\", group_use = \"Endocrine\", ncol = 1)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureCorPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"Features correlation plot — FeatureCorPlot","title":"Features correlation plot — FeatureCorPlot","text":"Features correlation plot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureCorPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Features correlation plot — FeatureCorPlot","text":"","code":"FeatureCorPlot(   srt,   features,   group.by = NULL,   split.by = NULL,   cells = NULL,   slot = \"data\",   assay = NULL,   cor_method = \"pearson\",   adjust = 1,   margin = 1,   reverse = FALSE,   add_equation = FALSE,   add_r2 = TRUE,   add_pvalue = TRUE,   add_smooth = TRUE,   palette = \"Paired\",   palcolor = NULL,   bg_color = \"grey80\",   pt.size = NULL,   pt.alpha = 1,   cells.highlight = NULL,   cols.highlight = \"black\",   sizes.highlight = 1,   alpha.highlight = 1,   stroke.highlight = 0.5,   calculate_coexp = FALSE,   raster = NULL,   raster.dpi = c(512, 512),   aspect.ratio = 1,   title = NULL,   subtitle = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE,   force = FALSE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureCorPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Features correlation plot — FeatureCorPlot","text":"seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureCorPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Features correlation plot — FeatureCorPlot","text":"","code":"data(\"pancreas_sub\") FeatureCorPlot(pancreas_sub, features = c(\"Ghrl\", \"Gcg\", \"Ins1\", \"Ins2\"), group.by = \"SubCellType\") #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data."},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureDimPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"Visualize feature values on a 2-dimensional reduction plot — FeatureDimPlot","title":"Visualize feature values on a 2-dimensional reduction plot — FeatureDimPlot","text":"Plotting cell points reduced 2D plane coloring according values features.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureDimPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Visualize feature values on a 2-dimensional reduction plot — FeatureDimPlot","text":"","code":"FeatureDimPlot(   srt,   features,   reduction = NULL,   dims = c(1, 2),   split.by = NULL,   cells = NULL,   slot = \"data\",   assay = NULL,   show_stat = TRUE,   palette = ifelse(isTRUE(compare_features), \"Set1\", \"Spectral\"),   palcolor = NULL,   pt.size = NULL,   pt.alpha = 1,   bg_cutoff = 0,   bg_color = \"grey80\",   keep_scale = NULL,   lower_quantile = 0,   upper_quantile = 0.99,   lower_cutoff = NULL,   upper_cutoff = NULL,   add_density = FALSE,   density_color = \"grey80\",   density_filled = FALSE,   density_filled_palette = \"Greys\",   density_filled_palcolor = NULL,   cells.highlight = NULL,   cols.highlight = \"black\",   sizes.highlight = 1,   alpha.highlight = 1,   stroke.highlight = 0.5,   calculate_coexp = FALSE,   compare_features = FALSE,   color_blend_mode = c(\"blend\", \"average\", \"screen\", \"multiply\"),   label = FALSE,   label.size = 4,   label.fg = \"white\",   label.bg = \"black\",   label.bg.r = 0.1,   label_insitu = FALSE,   label_repel = FALSE,   label_repulsion = 20,   label_point_size = 1,   label_point_color = \"black\",   label_segment_color = \"black\",   lineages = NULL,   lineages_weights = NULL,   lineages_trim = c(0.01, 0.99),   lineages_span = 0.75,   lineages_palette = \"Dark2\",   lineages_palcolor = NULL,   lineages_arrow = arrow(length = unit(0.1, \"inches\")),   lineages_linewidth = 1,   lineages_line_bg = \"white\",   lineages_line_bg_stroke = 0.5,   lineages_whiskers = FALSE,   lineages_whiskers_linewidth = 0.5,   lineages_whiskers_alpha = 0.5,   graph = NULL,   edge_size = c(0.05, 0.5),   edge_alpha = 0.1,   edge_color = \"grey40\",   hex = FALSE,   hex.linewidth = 0.5,   hex.color = \"grey90\",   hex.bins = 50,   hex.binwidth = NULL,   raster = NULL,   raster.dpi = c(512, 512),   aspect.ratio = 1,   title = NULL,   subtitle = NULL,   xlab = NULL,   ylab = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE,   force = FALSE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureDimPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Visualize feature values on a 2-dimensional reduction plot — FeatureDimPlot","text":"srt Seurat object. features Vector features plot. Features can gene names Assay names numeric columns meta.data. reduction dimensionality reduction use. specified, use reduction returned DefaultReduction. dims Dimensions plot, must two-length numeric vector specifying x- y-dimensions. split.Name column meta.data split plot . cells Subset cells plot. slot slot pull expression data ? Default data. assay assay pull expression data . NULL, use assay returned DefaultAssay. show_stat Whether show statistical information plot. palette Name color palette name collected SCP. palcolor Custom colors used create color palette. pt.size Point size plotting. pt.alpha Point transparency. bg_cutoff Background cutoff. Points feature values lower cutoff considered background colored bg_color. bg_color Color value background points. keep_scale handle color scale across multiple plots. Options : NULL (scaling): individual plot scaled maximum expression value feature condition provided 'split.'. aware setting NULL result color scales comparable plots. \"feature\" (default; row/feature scaling): plots individual feature scaled maximum expression feature across conditions provided 'split.'. \"\" (universal scaling): plots features conditions scaled maximum expression value feature highest overall expression. lower_quantile, upper_quantile, lower_cutoff, upper_cutoff Vector minimum maximum cutoff values quantile values feature. add_density Whether add density layer plot. density_color Color density contours lines. density_filled Whether add filled contour bands instead contour lines. density_filled_palette Color palette used fill contour bands. density_filled_palcolor Custom colors used fill contour bands. cells.highlight vector cell names highlight. cols.highlight Color used highlight cells. sizes.highlight Size highlighted cells. alpha.highlight Transparency highlighted cell points. stroke.highlight Border width highlighted cell points. calculate_coexp Whether calculate co-expression value (geometric mean) features. compare_features Whether show values multiple features single plot. color_blend_mode Blend mode use compare_features = TRUE label Whether feature name labeled center location cells wieh high expression. label.size Size labels. label.fg Foreground color label. label.bg Background color label. label.bg.r Background ratio label. label_insitu Whether labels feature names instead numbers. Valid compare_features = TRUE. label_repel Logical value indicating whether label repel away center location. label_repulsion Force repulsion overlapping text labels. Defaults 20. label_point_size Size center points. label_point_color Color center points label_segment_color Color line segment labels. lineages Lineages/pseudotime add plot. specified, curves fitted using loess method. lineages_trim Trim leading trailing data lineages. lineages_span parameter α controls degree smoothing loess method. lineages_palette Color palette used lineages. lineages_palcolor Custom colors used lineages. lineages_arrow Set arrows lineages. See arrow. lineages_linewidth Width fitted curve lines lineages. lineages_line_bg Background color curve lines lineages. lineages_line_bg_stroke Border width curve lines background. lineages_whiskers Whether add whiskers lineages. lineages_whiskers_linewidth Width whiskers lineages. lineages_whiskers_alpha Transparency whiskers lineages. graph Specify graph name add edges cell neighbors plot. edge_size Size edges. edge_alpha Transparency edges. edge_color Color edges. hex Whether chane plot type point hexagonal bin. hex.linewidth Border width hexagonal bins. hex.color Border color hexagonal bins. hex.bins Number hexagonal bins. hex.binwidth Hexagonal bin width. raster Convert points raster format, default NULL automatically rasterizes plotting 100,000 cells raster.dpi Pixel resolution rasterized plots, passed geom_scattermore(). Default c(512, 512). aspect.ratio Aspect ratio panel. title text title. subtitle text subtitle plot displayed title. xlab x-axis label. ylab y-axis label. legend.position position legends (\"none\", \"left\", \"right\", \"bottom\", \"top\"). legend.direction Layout items legends (\"horizontal\" \"vertical\") theme_use Theme used. Can character string theme function. example, \"theme_blank\" ggplot2::theme_classic. theme_args arguments passed theme_use. combine Combine plots single patchwork object. FALSE, return list ggplot objects. nrow Number rows combined plot. ncol Number columns combined plot. byrow Logical value indicating plots arrange row (default) column. force Whether force drawing regardless number features greater 100. seed Random seed set reproducibility","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureDimPlot.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Visualize feature values on a 2-dimensional reduction plot — FeatureDimPlot","text":"single ggplot object combine = TRUE; otherwise, list ggplot objects","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureDimPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Visualize feature values on a 2-dimensional reduction plot — FeatureDimPlot","text":"","code":"library(dplyr) data(\"pancreas_sub\") pancreas_sub <- Standard_SCP(pancreas_sub) #> [2023-09-01 05:16:12.324734] Start Standard_SCP #> [2023-09-01 05:16:12.324941] Checking srtList... ... #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-01 05:16:13.617312] Finished checking. #> [2023-09-01 05:16:13.61753] Perform ScaleData on the data... #> [2023-09-01 05:16:13.731112] Perform linear dimension reduction (pca) on the data... #> [2023-09-01 05:16:14.53909] Perform FindClusters (louvain) on the data... #> [2023-09-01 05:16:14.657577] Reorder clusters... #> [2023-09-01 05:16:14.873261] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-01 05:16:23.076231] Standard_SCP done #> Elapsed time: 10.75 secs  FeatureDimPlot(pancreas_sub, features = \"G2M_score\", reduction = \"UMAP\")  FeatureDimPlot(pancreas_sub, features = \"G2M_score\", reduction = \"UMAP\", bg_cutoff = -Inf)  FeatureDimPlot(pancreas_sub, features = \"G2M_score\", reduction = \"UMAP\", theme_use = \"theme_blank\", show_stat = FALSE)  FeatureDimPlot(pancreas_sub, features = \"G2M_score\", reduction = \"UMAP\", theme_use = ggplot2::theme_classic, theme_args = list(base_size = 16))  FeatureDimPlot(pancreas_sub, features = \"G2M_score\", reduction = \"UMAP\") %>% panel_fix(height = 2, raster = TRUE, dpi = 30)   FeatureDimPlot(pancreas_sub, features = c(\"StandardPC_1\", \"StandardPC_2\"), reduction = \"UMAP\", bg_cutoff = -Inf)   # Label and highlight cell points FeatureDimPlot(pancreas_sub,   features = \"Rbp4\", reduction = \"UMAP\", label = TRUE,   cells.highlight = colnames(pancreas_sub)[pancreas_sub$SubCellType == \"Delta\"] )  FeatureDimPlot(pancreas_sub,   features = \"Rbp4\", split.by = \"Phase\", reduction = \"UMAP\", show_stat = FALSE,   cells.highlight = TRUE, theme_use = \"theme_blank\", legend.position = \"none\" )   # Add a density layer FeatureDimPlot(pancreas_sub, features = \"Rbp4\", reduction = \"UMAP\", label = TRUE, add_density = TRUE)  FeatureDimPlot(pancreas_sub, features = \"Rbp4\", reduction = \"UMAP\", label = TRUE, add_density = TRUE, density_filled = TRUE) #> Warning: Removed 396 rows containing missing values (`geom_raster()`).   # Chane the plot type from point to the hexagonal bin FeatureDimPlot(pancreas_sub, features = \"Rbp4\", reduction = \"UMAP\", hex = TRUE) #> Warning: Removed 4 rows containing missing values (`geom_hex()`).  FeatureDimPlot(pancreas_sub, features = \"Rbp4\", reduction = \"UMAP\", hex = TRUE, hex.bins = 20) #> Warning: Removed 3 rows containing missing values (`geom_hex()`). #> Warning: Removed 5 rows containing missing values (`geom_hex()`).   # Show lineages on the plot based on the pseudotime pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\") #> Warning: Removed 8 rows containing missing values (`geom_path()`). #> Warning: Removed 8 rows containing missing values (`geom_path()`).  FeatureDimPlot(pancreas_sub, features = \"Lineage3\", reduction = \"UMAP\", lineages = \"Lineage3\")  FeatureDimPlot(pancreas_sub, features = \"Lineage3\", reduction = \"UMAP\", lineages = \"Lineage3\", lineages_whiskers = TRUE)  FeatureDimPlot(pancreas_sub, features = \"Lineage3\", reduction = \"UMAP\", lineages = \"Lineage3\", lineages_span = 0.1)   FeatureDimPlot(pancreas_sub, c(\"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\"), reduction = \"UMAP\")  FeatureDimPlot(pancreas_sub, c(\"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\"), reduction = \"UMAP\", lower_quantile = 0, upper_quantile = 0.8)  FeatureDimPlot(pancreas_sub, c(\"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\"), reduction = \"UMAP\", lower_cutoff = 1, upper_cutoff = 4)  FeatureDimPlot(pancreas_sub, c(\"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\"), reduction = \"UMAP\", bg_cutoff = 2, lower_cutoff = 2, upper_cutoff = 4)  FeatureDimPlot(pancreas_sub, c(\"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\"), reduction = \"UMAP\", keep_scale = \"all\")  FeatureDimPlot(pancreas_sub, c(\"Sst\", \"Ghrl\"), split.by = \"Phase\", reduction = \"UMAP\", keep_scale = \"feature\")   FeatureDimPlot(pancreas_sub,   features = c(\"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\"), pt.size = 1,   compare_features = TRUE, color_blend_mode = \"blend\",   label = TRUE, label_insitu = TRUE )  FeatureDimPlot(pancreas_sub,   features = c(\"S_score\", \"G2M_score\"), pt.size = 1, palcolor = c(\"red\", \"green\"),   compare_features = TRUE, color_blend_mode = \"blend\", title = \"blend\",   label = TRUE, label_insitu = TRUE )  FeatureDimPlot(pancreas_sub,   features = c(\"S_score\", \"G2M_score\"), pt.size = 1, palcolor = c(\"red\", \"green\"),   compare_features = TRUE, color_blend_mode = \"average\", title = \"average\",   label = TRUE, label_insitu = TRUE )  FeatureDimPlot(pancreas_sub,   features = c(\"S_score\", \"G2M_score\"), pt.size = 1, palcolor = c(\"red\", \"green\"),   compare_features = TRUE, color_blend_mode = \"screen\", title = \"screen\",   label = TRUE, label_insitu = TRUE )  FeatureDimPlot(pancreas_sub,   features = c(\"S_score\", \"G2M_score\"), pt.size = 1, palcolor = c(\"red\", \"green\"),   compare_features = TRUE, color_blend_mode = \"multiply\", title = \"multiply\",   label = TRUE, label_insitu = TRUE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureDimPlot3D.html","id":null,"dir":"Reference","previous_headings":"","what":"3D-Dimensional reduction plot for gene expression visualization. — FeatureDimPlot3D","title":"3D-Dimensional reduction plot for gene expression visualization. — FeatureDimPlot3D","text":"Plotting cell points reduced 3D space coloring according gene expression cells.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureDimPlot3D.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"3D-Dimensional reduction plot for gene expression visualization. — FeatureDimPlot3D","text":"","code":"FeatureDimPlot3D(   srt,   features = NULL,   reduction = NULL,   dims = c(1, 2, 3),   axis_labs = NULL,   split.by = NULL,   slot = \"data\",   assay = NULL,   calculate_coexp = FALSE,   pt.size = 1.5,   cells.highlight = NULL,   cols.highlight = \"black\",   shape.highlight = \"circle-open\",   sizes.highlight = 2,   width = NULL,   height = NULL,   save = NULL,   force = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureDimPlot3D.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"3D-Dimensional reduction plot for gene expression visualization. — FeatureDimPlot3D","text":"srt Seurat object. features Vector features plot. Features can gene names Assay names numeric columns meta.data. reduction dimensionality reduction use. specified, use reduction returned DefaultReduction. dims Dimensions plot, must two-length numeric vector specifying x- y-dimensions. split.Name column meta.data split plot . slot slot pull expression data ? Default data. assay assay pull expression data . NULL, use assay returned DefaultAssay. calculate_coexp Whether calculate co-expression value (geometric mean) features. pt.size Point size plotting. cells.highlight vector cell names highlight. cols.highlight Color used highlight cells. shape.highlight Shape cell highlight. See scattergl-marker-symbol sizes.highlight Size highlighted cells. width Width pixels, defaults automatic sizing. height Height pixels, defaults automatic sizing. force Whether force drawing regardless number features greater 100.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureDimPlot3D.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"3D-Dimensional reduction plot for gene expression visualization. — FeatureDimPlot3D","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- Standard_SCP(pancreas_sub) #> [2023-09-01 05:16:47.308195] Start Standard_SCP #> [2023-09-01 05:16:47.308399] Checking srtList... ... #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-01 05:16:48.301388] Finished checking. #> [2023-09-01 05:16:48.301593] Perform ScaleData on the data... #> [2023-09-01 05:16:48.41467] Perform linear dimension reduction (pca) on the data... #> [2023-09-01 05:16:49.163006] Perform FindClusters (louvain) on the data... #> [2023-09-01 05:16:49.278322] Reorder clusters... #> [2023-09-01 05:16:49.464207] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-01 05:16:57.562691] Standard_SCP done #> Elapsed time: 10.25 secs  FeatureDimPlot3D(pancreas_sub, features = c(\"Ghrl\", \"Ins1\", \"Gcg\", \"Ins2\"), reduction = \"StandardpcaUMAP3D\")  {\"x\":{\"visdat\":{\"1f097017381e\":[\"function () \",\"plotlyVisDat\"],\"1f092dbe9cd2\":[\"function () \",\"data\"]},\"cur_data\":\"1f092dbe9cd2\",\"attrs\":{\"1f092dbe9cd2\":{\"alpha_stroke\":1,\"sizes\":[10,100],\"spans\":[1,20],\"x\":[-5.6886261636056004,3.4359456366263332,-5.3666280442513523,3.7621866530142727,-5.872935169342905,-6.1831148797310886,2.2261005705557766,2.4181076353751125,3.398643142577261,4.2351423567496242,3.9708577460013332,2.1073290175162258,2.9162017172537746,3.7651683157645168,-5.3833645516671238,-5.1829670602120457,3.8295599287711086,1.5391832655631006,-5.4914945298470554,3.8172012633048,2.793688661452383,2.0342673128806057,3.9640418356619778,2.4987086123190823,3.6219369238577785,0.99059940039739014,-5.4327911073006687,4.2884904211722317,2.9429088896475735,4.0921779936514797,-5.3985317879952488,-2.0335786277092991,4.3770376509390774,4.0545412367545071,4.1104151076041164,3.2023011511527004,0.38131273448094727,-5.9616588288582859,2.6003462141714992,2.5475879973135891,3.3667727774344387,-5.5798309975899754,3.030913478728384,3.847624904509634,4.0858694380484524,3.9018045729361477,4.1920338934622707,-2.6897437506951389,4.0187827414236965,-4.206093185547739,3.6923328703604641,2.1945270365439358,3.9449616736136379,3.8722015684805813,2.2298027342520657,-4.7807520562447605,-2.6104623013772068,4.3668023413382473,3.7688914602957668,3.2212067908011379,3.7928448981009426,-0.54905425846949218,4.0713917082510891,-5.9773162537850437,-5.0173948937691746,3.3210197752676907,3.708708888884634,4.2753692930899563,-5.7239893609322605,1.6613651579581201,4.114228851195425,-1.8538612061776221,3.6917172735892239,4.8378187483511867,-4.9453610116280613,-0.83209495336189865,3.3578559225760403,-5.2147434884347019,-5.35839688122645,4.3068496054373684,4.8751646345816555,4.1845375364981594,4.1118885344229641,4.1085463827811184,4.2631312674246731,-5.3330701524056492,4.57820618807897,2.0549773043356838,3.2613741224966946,-5.9224170380868015,3.6750012701712551,-5.5498193436898289,2.2872663801871242,3.8686019247733059,3.7571336096487942,0.098260707255452884,3.8851114577017727,-5.919978969696909,-5.3041442567147312,4.1570006674490871,3.8757530516348782,3.4961906737051907,-6.1821497613228855,2.6465786761008205,-5.32397305310145,-2.8081093961037693,1.0950797861777246,2.9624165362082424,-5.6242302590645847,-5.2006577187813816,4.4909569090567532,-5.503446930054575,-5.8125513726510105,-4.4374476605691013,4.3201953238211575,2.3921674555502834,4.0995417898856106,-5.3745692902840672,-6.37182461560145,3.8413716620169582,2.2736622160635891,-5.2250226670540867,3.4526020353995266,-5.3119543725289402,2.6745559042654934,3.217281944151968,-6.477021091584116,-5.1964877778328953,3.3088890379630032,-6.1476582223214207,-5.6930960351265965,3.70802796542272,3.3083731001578274,-5.8063710862435398,4.3496514624319973,3.6548677748404446,3.8021856611929836,-5.7689450913704929,2.4691897696219387,-5.2924097710885105,-5.8526018792428074,-5.672373645905405,-5.6623295480050144,4.1558662718497219,-4.8945668870247898,3.2827888792715969,-5.5241459542550144,4.3123055762015285,3.2845560377798977,-1.624504380825907,-5.9470547372139988,3.8091121977530422,-5.6904171639718113,3.6057592695914211,-4.3515030080117283,-5.7528332406319675,3.2486630743704739,4.1241923636160793,2.8195403879843655,4.6197644537650051,3.9772955244742336,3.7943307226859035,2.5913709467612209,3.9710031813345852,3.8011189764700832,3.296350604888052,4.3865267103873196,3.8908783262930813,3.3374468153677883,-4.4706221753396092,3.2570606535635891,3.8364697760306301,4.2860552138052883,2.4976972407065334,-6.2177075082100925,4.953642970915884,3.0680788820944729,-5.4631804162301121,-1.3357294732369482,4.1042176550589504,4.063956863280386,3.5586420363150539,4.2045790022574367,-5.9334925347603855,-5.5754865342415867,-2.4768989020623264,-5.7706888848580418,-1.037919633988291,4.0581241911612453,2.435252553816885,2.3759418791495266,2.7511712378226223,3.2716742819510403,-6.1108916932381687,2.4087811773978176,4.309628135558218,4.9434748953543606,4.0921040838919582,-5.7354863816536961,4.7850753134451809,1.5081285303793848,3.1360293692313137,-0.72175849691405891,3.5372740095816555,2.3448590105734768,3.9707208937369289,2.9682651823721828,0.64330697714909912,3.1923199957571926,3.8910366362296047,3.86671937167272,-3.0602270299233494,-5.4041060143746433,-5.8222106629647312,-5.4442418748177586,-1.4495434695519507,-5.7719706231392918,4.0788031882010403,2.8299533194266262,3.8279835051260891,2.2619544333182278,-4.2111350232399998,-6.4100536042489109,4.3074675863943996,4.2125812834464016,3.278535491820425,4.8723198240958157,3.7191401785574856,0.23066902815923096,4.1810804671011867,2.9881712263785305,2.3492690390311184,-5.6914991074837742,4.1613327330313625,2.7096418207846584,1.9107128447256982,4.1415544813834133,3.9326931303702297,-6.0249489480294285,-5.4014824563302097,4.0656186407767239,3.9642750090323391,0.70927036463841797,4.6895667380057278,4.2933746641837063,-5.2602528268136082,4.1233750647269192,2.7530199354849758,-5.8193434411324558,-6.1109894448556004,-1.0728792184628546,-5.458196514252573,3.6278320616446438,-5.9495462113656101,3.2712379759512844,2.9602612322531643,2.2454253500662746,-5.9845112496651707,-3.1521202260293064,3.6474958723746242,-6.0393150979317722,-5.7518080407418308,-5.7148393327035008,-2.0283108884133396,3.2670952147208157,-5.9730290108956394,-6.0209578210152683,2.3493365114890041,-5.3508690530098972,2.1166299647055569,-5.8466519051827488,-5.1293190652169285,4.5781961744986477,-5.8394626313485203,-6.0309356385506687,4.4323755568228664,-5.3975976640023289,3.7564607924185696,-5.6858676606453953,-5.7005304032601414,2.5634144610129299,4.5063401526175442,4.1718541449271145,4.540925628539175,-4.5778638058938084,-4.364221208695322,3.5970946615897121,2.1566151446066799,-6.0058206254281101,3.7745324438773098,3.1083837813101711,1.3716536825858057,-5.9610012704171238,3.0642060106955471,-5.7542136842049656,3.4612490004263821,3.6092368429861965,-5.5800021821297703,3.1013876265250149,-6.3277510339058933,2.3361758059225979,2.6442028349600735,3.6401864355765285,-5.8642514878548679,-6.03074156582728,4.1436320608817043,-5.7518442803658543,3.8260375326834621,1.272380716200918,-5.3374651604928074,-5.1970995599068699,3.797756797667593,3.2268775767050686,-5.1002482110299168,1.0198576515875757,0.31130755602940918,0.48062289416417481,4.2756167715750637,-5.9069336587227879,3.9822994536124172,2.7996984785757961,3.729941970702261,4.0360781019888821,4.5250836676321926,-5.6807621651925144,-5.7964295083321629,-6.2621782952584324,4.3417240446768703,3.8146392172537746,-2.3665174180306492,2.9567765063010158,3.9070087736807766,-5.3787101441659031,4.0860859221182766,-5.9691227608956394,3.6438437765799465,3.4250918692313137,-4.2681220704354343,3.875729209776968,-5.8648399049080906,-5.5565107995308933,3.5692497557364407,3.9789401358328762,-5.6811984711922703,4.2586289709769192,1.7590841120444238,3.5297552412711086,2.3529039686881008,-6.1315530473031101,3.7280699080191555,-5.3548949891366062,3.2782713240347805,-6.2212966614998875,3.5055633848868313,-5.4770072633065281,-0.9730303221978247,3.6990600889883938,3.7497507399283352,-5.3982642823494968,-5.8888567620553074,3.8859354323111477,3.5195432966910305,-3.8963805371560154,1.8053032225333154,1.4098991221152246,3.5934301680289211,2.5643507307730617,2.7622026270590725,3.8044158285818996,-5.9591859513558445,4.1719976729117336,3.64369691073522,-5.4930647546090183,-5.7994507485665379,-5.3392757111825047,3.3259717291556301,-5.4468868905343113,-6.3571780854500828,3.2842856711111965,2.3560041254721584,-5.2326768571175633,3.7973028486929836,3.8533784216605129,-6.110382907990366,-5.2379931145943699,4.0392576521597805,-5.8231190377511082,1.1200755900107324,4.1074754065237942,2.8175944155417385,4.5524135893546047,-5.6430138284005222,-0.59149248242750763,-3.3063419991768894,-0.87759719878807663,-0.5074914628304541,4.0615278547964992,4.4845186537466946,-6.1248058015145359,2.3313630884848537,-6.0432237321175633,4.2014442747794094,3.8849631613455715,-3.2771187955178318,4.2126609152518215,3.7082096403799953,4.0735517805777492,4.3654242819510403,1.9640537565909326,2.6016289061270657,3.8542548483572903,3.0065325564108791,4.0419470137320461,4.1198397940360012,-6.0586279565133152,-5.1990746194161472,4.7570358580313625,3.9814606970511379,-0.085499518517404782,2.8601588076315823,2.3237930601798,3.5537105864249172,4.019373065825552,3.6876221960745754,-5.7977875405587254,-5.6799820596016941,4.0421482390128078,-5.2353085213936863,4.1839581793509426,3.8697253531180325,-5.2171081239022312,3.1247845953665676,-5.2775639230050144,4.3466187781058254,4.229857570525259,-5.8318871194161472,-4.0895787411965427,3.4561802214346828,-0.86872646302357315,-5.2169026070870457,-5.7484263116158543,2.4695133036337795,-5.0677164727486668,-5.508423679474741,-5.7000273400582371,-2.384531849030405,1.4761222666464746,3.864562160369009,-3.9497762852944431,4.8315531080923977,3.0862537687979641,-5.9344409638680515,-3.4777868920601902,0.21113300978764893,4.840610629912466,4.8818041151724758,-6.0327304536141453,4.0719081228934231,2.6357158487997951,4.2293235129080715,3.840809947844595,3.3152538603506985,3.6268993681631985,3.0060921972952785,4.0086442297659817,-5.1835802727974949,2.4848958319388332,-6.2344092065133152,-5.5369199448861179,-6.3334220582284031,-6.2132896119393406,-5.066432827118784,-1.4480543667115271,3.3920031851492825,4.4146901434622707,-5.7791112595833836,3.1617196863852444,-3.8526743584908543,-5.9049895936287937,3.5681854551993313,3.6677147215567532,-5.6211966210640965,3.6967369383536282,4.1724149054251614,3.472437030669302,-4.7719811135567722,3.929534084197134,2.6585174864493313,2.4152344530783596,-5.0892194443978367,3.7046052283011379,3.3906790083609524,4.7917453116141262,2.8252738779745998,4.0964404410086575,3.8458415335379543,-6.1054814988411961,1.3883909052573145,2.5578230684958401,4.1579734152518215,3.1511603659354153,-5.3443311387337742,-3.804554575089365,3.9519139593802395,-5.7158354455269871,3.0774141615591946,3.7683998411856594,-5.7632640534676609,3.9628754919730129,-5.5107792550362644,3.9301687544547024,4.6595903700552883,4.1110025709830227,-5.9925340348519383,-4.9079335862435398,-6.0116313630379734,4.0381800001822414,-5.4791096383370457,4.6404048269949856,-5.9147142106331883,3.2200423544608059,4.5811253851614895,2.5719155138693752,-5.3072446519173679,3.4785252875052395,4.7884126967154446,4.8735128706656399,0.93153310477361084,-5.5963596040047703,1.4240881270132959,4.1605702704153957,4.401481277342886,4.4116336172781887,2.2761439150534573,-5.4898661309517918,-5.9866064721383152,0.052783197756856692,4.2244850462637844,3.0144556826315823,-5.5977681809701023,-6.0059684449471531,-5.1179498368538914,-5.9642866784371433,4.755299693938345,-5.2662986451424656,-5.939667575959116,2.5774887865744533,3.598171836730093,3.0617722338400783,-5.761318081025034,3.9120718306265774,2.3118149107657375,-0.94558409691229461,4.7828432387076321,-5.7654126817025242,0.027312404509633792,4.2756439512930813,1.9600929087363184,-1.161150538329035,2.0367411440573635,-5.0087841683663425,3.975620395537466,3.1880821055136623,2.7272015875540676,4.3192216223441067,3.8340650862418117,2.8559435671530666,3.5511461561881008,-1.1332349711693823,-5.4355901414193211,-3.4096795254983006,2.4791776007376614,4.6648203200064602,4.1341716116629543,2.2596844500266018,-2.2627447778023777,-5.6280082398690281,3.6935759848318996,0.045447177287191165,-4.5587662392891941,4.2700878447256985,3.568332797881216,0.053109652396291507,-5.3360952073372898,2.4490696257315578,4.8878732985220852,-5.5685132676400242,-6.0200279885567722,2.4781998461447658,-5.3996018105782566,3.8232137030325832,2.8570469683371487,3.0393348997794094,-5.3638433152474461,-4.6927961045540867,-5.9462650948800144,-6.0231627160347996,-5.7078756028451023,4.3533126181326809,3.3287721937857571,-5.3460568124093113,4.0853062933646145,3.2402073210440578,-6.1529258424080906,3.6316906279288235,3.9792114561758938,-5.3954003983773289,-5.3247002297677097,4.1878510779105129,3.7272607153616848,-1.2834967309273779,-4.200078838471323,4.2237268751822414,3.784641391631216,3.8982225722037258,-3.4720481568612156,3.3765975302420559,-5.1755126649178562,4.7304683989249172,4.2413960760794582,-5.0755652123726902,-5.8730138474740086,0.63916409670934082,-5.2855743104256687,-5.9280646973885593,-5.8428872758187351,3.1702209776602688,-1.5372922354973853,3.2740551298819485,3.9582825964652004,-5.8968070679940281,-5.4941357308663425,3.8447271650992336,-5.9965819054879246,3.6187459295950832,-5.6920345956124363,4.2110291784964504,-1.2227924102582037,-4.1958619290627537,3.6590329474173489,4.1788326567374172,3.7835108107291164,4.2851477926932278,-4.472365968827158,2.32739413439855,3.7456418341360989,-5.5271786385811863,-1.2761777573861182,2.6533113783560696,4.0993858641348782,3.3688551253043117,3.51955140292272,0.9623799389563501,-6.0224155122078953,-4.9960721665658054,-4.1175070935524998,3.8025161093436184,4.1205469435416164,-5.2678822213448582,-5.5907281571663914,-5.6040223771370945,3.7243415182791653,3.85278475939855,-5.5447462731637058,-5.2768815690316258,-1.0130716794766486,3.7916637724600735,-1.6983771258629858,2.3243960207663479,-5.9584807091988621,-5.6282089883126316,-0.42723717630282043,-5.5163015061654148,3.1376510924063625,-5.6191514664925633,-5.7415689164437351,4.206941253539175,-5.2534431153573093,3.9675642317496242,-6.0725492173470554,1.9586480921469629,4.1869531935416164,-6.2223313981331883,3.8577367132864895,3.9003025358878078,-5.4860662156380711,-5.8056019479073582,3.5305005377493801,-6.1973417931832371,-5.3344272309578953,-5.4571069413460789,3.975402004119009,3.6755405729971828,3.9099475210867825,4.2384554213248196,0.26568508803471924,-5.1797989541329441,3.2572733229361477,4.3663502997122707,-5.3959749871529636,-5.925296180848032,-5.6979926759041843,2.9078658884726467,3.1994730299673977,-5.936590068940073,4.2089210814200344,-6.0896280938424168,3.9946595495902004,0.054381198283284915,3.6767584150992336,3.7615333861075344,4.8140150374136867,-6.4130009347237644,-5.9415091210640965,2.0899595087729397,-5.3260720902718601,3.7020202940665188,-1.6567391091622412,-5.5412248307503758,-5.6700743371285496,-5.2964433366097508,-5.8124340707100925,-5.5755661660470066,2.9057635134421291,3.9530860251151028,1.3539816206656397,4.2713748282156887,3.7435547178946438,-5.8213099175728855,2.9427110022269192,4.6808501547537746,3.6478635138235989,4.4028011625967922,4.4463373488150539,-6.1728409463204441,-5.7990935975350437,-5.689214580658823,-5.6546972924508152,1.1747036045752466,-5.5775760346688328,-5.4664224320687351,4.2264033621512356,-5.6370757752694187,4.0269590681754055,-5.3465093308724461,3.6384803122244778,3.0052238768301907,-5.3552411729134617,-6.0912598305977879,3.7730208700858059,3.4275070494376125,3.6208459204398098,-5.9925941163338718,-5.4850720101632175,-5.6369341546334324,-4.8173636132515965,3.9032551115714016,-5.7200759583748875,2.9863430327139797,4.0981928175650539,3.4018317526541653,4.6671968764029446,3.8511496847830715,1.6804815596304834,3.8968588179312649,3.834314472075552,3.5979048079214992,4.4432860678397121,4.7364717787466946,-5.3801878625191746,2.2328699892722073,-5.7004131013192234,2.710779315825552,3.4951072996817532,3.1732744044028225,-5.6688474351204929,4.6734758681021633,3.1907359427176418,-2.8448234730996189,3.9047581022940578,4.7213956183157864,3.4439202612601223,3.2129169768057766,-5.8644889527596531,3.3282324141226711,3.5844150847159328,4.6877924269400539,-5.7232388192452488,-5.2029036217965183,-5.2021268540658054,-5.2785514527596531,3.6263157194815578,2.479031211730093,3.5073601072989407,-5.2538922959603367,-3.0699297124184666,-6.25950133145228,-0.72990534544363617,3.7311569517813625,-5.8988321954049168,-5.7185310059823093,-5.4856384927071629,-5.2154592210091648,1.5948706930838525,-5.2093313866890965,-5.3409093552865086,-6.0478628808297215,3.8831917113028469,-6.3964275056160984,3.9812675780020657,4.1653372114859524,2.3977209395132961,2.9845653837881985,4.4032703703604641,3.4935313528738918,2.7370964354239407,3.7417784994803371,-5.8190969163216648,4.1854006117545071,3.6822696989737453,-4.2920180493630467,-5.8522084885872898,3.5731941527090969,1.7521566218100488,-5.8279870682992039,2.7569011515341701,4.248017913695425,4.098847991820425,-5.4763725930489597,4.1806789702139797,4.0674892729483547,4.1557580298148098,2.5360230272971096,-5.1990946465767918,3.1759957140646877,3.3869148558340969,4.0969482725821438,3.3270999258719387,-6.1945279771126804,-5.7646449738778172,-5.7636789017952976,-5.1860245400704441,4.5106087988577785,4.19380677401647,1.4348169630728662,3.0483075445853176,1.3041571444235742,3.0737329786978664,-5.1791127854622898,1.1023757523261011,4.0267154043875637,-6.0973647767342625,3.6752859419547024,3.9452782934866848,1.7036799257956445,-5.7025231057442722,2.6535900896750393,0.59107614218816162,2.3053306406699123,3.3949061697684231,-4.742568605545908,-5.3095802003182468,4.11096347033605,3.2922116583548489,-5.3414553338326511,-5.8058999711312351,3.946593410369009,-5.8377684289254246,2.3679226702414455,2.9427760904990139,1.3651951616965234,-2.5972028905190525,4.2035375899039211,3.466514236327261,-5.7322076493538914,-2.0195505553521214,-5.7662848168648777,-5.9279640847481785,4.3577228850089016,4.2267390555106106,-5.7661789590157566,3.7150350874625149,-5.8282102280892429,4.1812874144278469,-3.0853332215584812,-5.0930021935738621,-4.6041163140572605,-5.9298237496651707,4.4462629622183742,-1.1161883407868445,2.9753459757529201,-1.4426591330803931,-5.3608812028206883,3.1076239412985744,-5.6868876153267918,-5.4807642632760105,-0.39783977806940674,3.6715747183524075,-6.0093773537911472,2.7764593428336086,-5.3116773301400242,4.1185156172476711,2.7369030779562893,-5.5967267686165867,4.0319467848502102,4.0021592444144192,4.0022865599356594,-5.8418825799264011,1.6526974505148828,1.1953849858008325,2.820102817412466,4.2609082525931301,4.1749731367789211,4.3862692183218899,4.3566633528433742,-2.4362351828850803,3.3300324743948879,4.012112266417593,-5.6537359887398777,-2.8257852727212009,3.0882600611411037,0.37636244952306153,-0.12059801161661743,-4.0914295846261082,-4.4639335805214939,-5.920357101563364,-5.0288318330086765,-5.9399326974190769,-6.493007534150034,3.1518148249350491,4.3253170317374172,3.7653600043021145,3.1259836024008694,-2.6130442553795872,3.4876762694083157,-5.858338230255991,-5.0883473092354832,3.8392578428946438,-3.0593122178353367,-6.0411423379220066,-5.8218725854195652,0.73053050696477295,3.9582296675406399,-3.4760218793191013,1.3216131991110742,3.2579966849051418,3.1491898363791408,-6.5008796387948093,3.4683419531546535,3.6988960570059719,4.2128936117850246,4.2010084456168117,3.8220959967337551,-5.3025659257210789,-4.2893997365273533,-6.0911062890328465,2.067372447844595,-5.4109014207161961,4.6016327208243313,4.5009285277090969,-4.0317429238595066,-5.2523106271065769,4.2790666884146633,-5.1373242074288425,3.7997213667593899,4.8305007284842434,3.3830891913138332,3.4761420553885403,0.63557816207036377,-5.7402013474740086,3.9067779844962063,4.2600380247794094,-5.9681919747628269,3.1113175219260158,3.7827926939688625,2.5168422526083889,-4.990298622254282,3.9831935232840481,4.1178962057791653,-5.845271938446909,-5.4591568642891941,-6.054481857422739,2.3576153582297268,3.7698017424307766,3.6942468947134914,3.8944641417227688,4.6226311987601223,2.5652514761649075,-5.1815284425057468,-5.5244868928231297,4.1578036612235012,4.2988306349478664,-5.4960130387581883,-5.8595412904061375,3.6086574858389797,4.1299988096915188,-2.9065550500191746,-6.0575002366341648,-5.3156188660897312,4.0152269667349758],\"y\":[-2.4239424188975245,4.5609880963917817,-1.3609242161158472,-1.4919820149783045,-1.060248257720843,-0.0031989534739405023,5.2746326009389009,-1.9571644981745631,-2.0396699627283961,0.50371637741290032,2.8119253198262304,5.4130541364308442,5.4319583455678071,-4.1813345869425689,0.82002225319109856,-3.361192556226626,-3.4751935919169337,6.2332655469533051,-1.9023222645167261,-1.1458798964861781,0.070623842870816578,-2.1729515512827784,-1.3012585361842066,-2.3668752630595118,4.1861511746998872,6.1666990796681489,-0.07431981166638435,-5.0962627848032866,-2.4883317669276148,-2.0352490862254053,0.68722930351458489,5.3556334058400239,0.84017362991534172,0.15182634988985955,-2.3230533321741968,-1.8098151405695826,6.3171145002003755,-1.5227970202807337,-1.9278317411784083,-2.0975117405299097,-1.8467319925669581,-0.24890917738713325,5.2868897000905122,2.8192738572712988,-2.0351397713068873,0.27459999719820916,0.21939983764849602,4.8468886891957368,-1.251596780622378,3.2370296994801611,4.0774675885792817,-2.157822104299441,-3.4739092310313135,-1.0692414363268763,-1.9240455349329859,2.4415027181264013,4.9130069295521821,1.6697985211964697,-3.5910936315897852,-1.6339909156206995,-0.10385725101269783,6.13976636329852,-0.1988587697390467,-0.72892709089256824,1.9006220380421728,-1.7581078728083521,-4.1603685339335357,-3.7919968088511378,-2.6646362264994532,6.2563449422474946,-1.8575770576838404,5.4354602376576509,-3.8577817400339991,-0.86170599063672126,-1.6714509447459132,6.1034232656117524,-1.7020700295809656,-3.5910142382029444,-0.90599982639588417,-3.278905244672671,0.34204461971484124,-2.493720861280337,-2.9189573248270899,2.5575565377827734,2.1375414411183447,-2.3076520880106837,0.85956921974383294,5.5023647824879731,0.1226136366482824,0.90666511455737053,-4.3640995939616118,0.78360476890765129,-2.229204030836001,-3.5964950044993311,-2.7376447637919337,5.8229342977162446,-1.4376525600794703,-0.0071892460230738031,1.0902816335316747,-3.723750682676211,-1.545060189569369,1.8917509595509618,0.10975864330492913,3.767842916643247,1.0953157226201147,4.7440544644948091,6.2671872655507173,5.0375486890431489,-1.4930325468424708,-1.6865774711016566,1.3132356683369726,-2.5282889326456934,0.2322489897366613,3.053478149568662,-3.6445847471598536,-2.0364881475809962,2.1979185620900243,0.4737764875050634,0.34391608635149895,3.1931356469746679,4.6984931508656587,-2.3206523378733546,-1.3709589560870081,-3.3848780115488917,0.10801014105044304,-1.8686189373377711,-0.27822473844327034,1.7524751702900976,-2.2824387272242457,0.040917066728696216,-1.8718527277354151,3.5393640081044286,-2.5310460050944239,-0.79395885964669288,-3.6142457445506007,1.3428472558613866,2.1670099774952978,-1.0547011216524989,0.053220657503232349,-2.5049843510035426,-0.078191729390993725,0.58263471523486077,-0.33809483250416816,-3.0026050527933985,2.1802228967305273,4.2852317372914399,0.075537113344296802,-0.45325485070981086,-2.1088388880137354,5.6170193235035981,-0.0042112191561609613,3.6995402852650732,1.3101433793660253,3.7294951955433935,3.2245275060292333,-2.5156374891642481,0.19655898014269768,2.7750836888905615,3.9751702825184911,-1.3423747738245875,-0.79763170530833305,-3.783922048414126,5.7760783712025727,0.4742647687550634,-3.9147642572764307,-1.4897038062456995,0.72149756351672112,-4.6768530329111968,3.9998981038685888,2.9275032559987157,3.9596087018605322,-1.4805615266207606,-2.3055076321009547,5.709130434190854,-0.66058179190196098,-0.68876549241878093,-2.0615666826609522,-1.4961245973948389,5.8569709340687837,-5.3729494531992827,-4.7047046144846831,-4.5010617693308745,-3.0754037817362696,-2.2853716333750635,-2.3944978435877711,5.0284039060231294,-0.52450566192902626,5.862429765855893,-3.6829043348673731,5.7198440114613618,5.8193899671193208,5.4614092389699067,-1.839825483167544,-0.37305695017613472,-2.2612950523737818,-1.7410278042200953,-0.47179021140374244,-2.8548248728159815,0.93267014423571526,-0.28739908536709846,6.1978861371632661,-2.2965886314753443,6.0330149213429536,-1.8899432142619044,-1.9679584225062281,-4.8555706461314116,3.2717842141743749,6.2791606465931977,-2.1638055761698634,-1.2251872738245875,-1.6241277178172022,4.5317422429677094,-2.5921070297602564,-1.6452137549761683,-2.5512525757197291,5.8063866178151216,-2.8423815687540919,-4.3189624269846831,5.2906090299244966,-1.2093105038050562,-2.2468459328059107,3.2060834447499365,-0.22580784758366645,-5.0903199633006011,-4.9740699251536284,-1.5329989512804896,0.3640733043309301,-1.9681979139689356,6.0053149739857759,-4.7634843309763824,-2.3324273546580225,4.7507134954091157,-2.1058399399165064,-3.3286565264109522,-2.1642199476603419,6.1403819600697602,-3.1477533300761134,-2.4249170740488917,0.032660750543698658,-1.5147729237917811,-1.7047620733622462,-1.7407974918726832,5.9290868322011079,0.73337867656908928,2.081605819856748,-2.7303775270823389,-3.3545483072642237,3.7827760259266943,-2.4628283699396998,-0.18605199655331672,5.7512680570241059,-0.62760734757222236,-2.2259094437006861,0.66038360992632805,-1.7920636852625758,-1.9738279302958399,-1.9679617603663355,-0.75979690825380386,4.4477821866627778,3.7065235654469579,-0.47790557345189155,0.37111750045977532,-1.2477879842165858,5.3866788426991548,4.6404534856434907,-2.0194360931757838,0.24557277361117302,-2.1719521005991846,-2.534595580900088,6.0664698163624848,-0.97541529139317573,-2.9255004843119532,1.4162239114399999,1.2918585816975683,-1.7989293058756739,1.5153717080708593,-2.089099975431338,-5.2532542665842925,-0.6945296322349459,-0.55396698614396156,-2.0415210445765406,1.6229487935658544,-0.38922444185055793,-1.5070934613589198,2.724437622224912,3.1053611318226904,0.36135938564501702,5.0215751210805024,1.0733109990712255,-1.1420734246615321,4.5590206662770356,5.6490041295643891,0.79236331382952629,5.1439806501027192,0.90493681827746331,3.5825807134266943,-3.3516133745554835,0.96703484455309807,0.013699082529172291,0.43656936088763176,0.18593749204836785,-2.287687393033877,-1.1840383132342249,-1.854727359617129,-1.2767833789233118,0.62264111438952385,-2.3413816412333399,-1.5632042010668665,5.9288293401356782,-2.3667430599574,-2.6569406708125025,-4.9233997782114898,-2.4469978531245142,-3.4312649687174708,6.3557030240651216,6.2044831792470063,6.2774120847340669,-4.958230348432437,0.73083033958636223,-4.9192923029307281,-2.1936223228815943,-1.0237523933295161,-1.9902027567271143,1.2441510240193456,-2.3397497852686793,-2.555000158155337,-0.081854196393862377,-3.352185102308169,-1.7697127779368311,5.1079546491261567,-1.8375985344294459,-3.7284103353861719,-2.6187299211863428,-2.6839514692667872,-2.3111585100535303,-1.5935382564906031,-1.7216208895090968,3.1498731652852148,-2.1834809502009302,-0.81959226926602424,0.29429247776232659,-4.2564638574961577,-4.0790687521342193,-2.2445436437968165,0.86365702549181878,6.2456165830250825,3.1487597505208105,5.6828376332875337,-0.31161385973729194,-3.3768814524058253,-2.1371415575388819,-2.4847284277323634,-0.63256122370995582,4.585175184404477,-0.86869067152775825,5.7339288274403657,-4.7821448763255034,-1.6008018573168665,-1.3599250038508326,-0.89102895756997169,2.0458225289937109,-3.0228110273722559,3.6446587125416845,6.1587616483326997,6.3113709966298188,-0.93845525583066047,0.27336951891146599,-2.2699178179148585,-0.8309136574510485,-0.5421614368800074,1.9949585477467626,-1.3848834355715662,-1.2548774202708155,-0.303394796455279,-1.8503794391993433,-1.6082303841952235,1.0362267772313207,-0.25962552627362312,-2.2054419239405543,0.15909203687869011,-2.3545452078226954,-3.8162888010386378,-1.7407530268076807,0.15898248354159294,-2.9843977411631495,-4.7334559877756988,0.4603710452672094,6.5101992169972505,-0.99471473892964424,5.3173429051991548,0.010975567495450367,1.3160141984578222,6.0811940709706391,4.2911726514454926,5.8067003766652192,6.1516915837880219,-3.8477219065073878,-0.56223127445019783,-0.60679900100268425,0.26178195873461663,0.77471056381426751,0.02344634929858147,-2.0636211355570704,4.3087302724476899,2.5385943929310888,-3.7607172449473292,-2.8300114591959864,1.6987279931660741,6.1059791127797212,-2.367948623502627,-1.3026901801470667,-1.582632096612826,-2.562305541837588,-3.0956462343577296,-0.49307361444272102,-2.3902754505518824,0.096637038385495533,-1.002995671832934,6.155241159593686,-2.3592964132670313,-2.2031477411631495,0.19480547109805046,-1.5894029458407313,-3.7234464605692774,-0.57716794511117042,1.0069606582280248,-5.3106635530833159,-2.7188754995707423,-0.67533974921144546,-1.5247779806498438,-3.3243452032450587,3.8057982007618993,1.7180282155629247,1.8951307813283056,0.38730898300372063,0.4815432111378759,3.4106136838551611,3.9369875470753759,5.7471791783925141,-1.6154571493510157,-2.5282175262812525,5.5046383420582856,-2.2374744137171656,-0.74580705364979805,0.63541057506762444,5.0971418897267426,6.0172392408009614,-1.1334699412230402,3.5790030042286962,-0.63466766675747932,-1.9919628818873316,-1.4715509136561304,4.1195961515065278,6.0665365735646333,-0.15717074474133552,-0.83351120551861824,-0.041548641527071606,-3.4789639433268458,0.08589747348986565,2.8287989179249853,-4.2947400530222808,-1.6391935070399195,0.73227992454729973,-1.9409398754481226,-1.9238525350932032,-3.2999371012095362,-2.4444392641428858,0.584676412736997,-0.47898596724309028,-0.063820513093844067,-0.85163870652951301,1.7567495385762304,5.9222551862355317,-1.4317240436915308,-4.290679307783023,-1.6689185818079859,-1.9907366951350123,3.6644283811207861,-1.208278807008639,-3.2294615229014307,-3.53181395133771,0.16766300598345696,-3.8767207582835108,-1.6996605714205653,-3.1247032602671534,2.3767744580861181,-5.1896551569346343,-2.085426183545962,0.15554716983996331,-3.1717403849009425,2.5828756372090429,-1.5759708603266627,0.50336995521746575,-0.00096622308529914491,-3.531302066648379,2.3629836122151464,-0.51668662031926216,6.5097676793690766,0.10245349804125725,2.4005526582356542,5.1191674749013032,-2.2253373583201319,3.7342983762379736,-4.8967646082285796,-2.1765366514567286,5.1614891568776216,-3.658861013257876,1.1124904433842748,-1.3171585520152003,-2.0713031013850123,-1.6945940574053675,0.51691594520770012,-3.4552353342417628,0.68430438438616692,2.1503387967702001,-0.44561726053990425,-1.3538924773577601,-1.7000657041911036,0.19344046512804924,-0.25588000019825996,4.1527763883229341,-0.056277902925387036,-2.3305705507639796,-2.6961437185648829,-1.2722177823428065,-0.1896642764452845,-0.37577939232625068,6.5140706578847016,-2.6139056404475123,6.2066051046010102,-4.4964416941050445,1.5446392575856298,0.22592374483309685,5.8738400022145356,-2.5415188988093287,-0.46387927433289589,6.3667241613026704,-5.0694449861887847,-2.1448111256007105,0.58100822368822991,-0.52378004988469185,1.5315343419667333,0.30252352157793938,-0.27326551278866829,-3.302570434415713,-0.26172504028119148,5.6343637982960786,-3.9731949289683253,4.9236470739003266,-0.017684849107638012,-5.1671312769297515,-2.1053601225260645,5.7960950414296235,-0.75854998281039299,-0.19752535423077644,5.9886652509327973,-3.0913077314738184,5.5834752599354829,5.8752571622487153,5.6014906446095551,-1.6426285227183253,2.61355319420062,-2.5852859934214503,0.032042411958798755,0.14958980480395256,-5.4139483888987456,-2.1020459850672633,0.086386946832761158,5.8410164395924653,-1.2037187536600977,4.2020098249074067,-2.2779335697535426,1.0987122336979955,-3.459409805143252,-2.2577160318735987,5.1850587407704438,-2.6689614971522242,-3.7811191995982081,6.1284867803212251,2.7336803952809423,0.34952881733141838,-3.34799465736188,6.1840998212452973,-0.59392323544062675,-2.1494937857035548,-0.99437400897778572,-2.485010357702151,-0.55357498129643501,4.2672535459157075,-1.966421695554629,-1.3056107481364161,-2.0817610939387232,-1.8661416490916163,1.1090861837025732,2.5411118547078222,-0.28003990849293769,0.32085719505511223,-1.5454110821131617,-2.0634958465937525,4.3861509839650239,-1.7415537556055933,2.8075331727620214,-1.8260016163233668,0.1392575780507177,-2.8897417505625635,-3.4982336481455714,-1.4735290130022913,-2.5246780832652003,-4.7272222956065093,-5.0906585176829253,5.9258219281788911,3.3085028211232275,-3.1412273367289454,-1.4506988843325526,-1.7402947862986475,4.1155492345448579,-1.8608510216120631,-2.1143266876582056,-0.94771781762875618,0.50713565746508538,0.45906033912859856,-0.46734926303662361,6.0061265508290376,-3.1791225393656641,-1.5013940056208521,-0.26577314933575691,-1.7897350510004908,5.63598218361102,-2.0897912701014429,-4.5101326425913726,-1.6685838421229273,0.97515573898516594,-2.7128883322123438,-0.32605084975995124,-3.5607670267466456,1.3025166074391454,-3.6134074648264796,5.893799451982602,3.2949859181996435,-4.6001072843912993,-3.0487497766856104,-4.0350559671763335,-4.5549701174143706,2.9335071126576513,-2.3022573908213526,-1.7962529381159693,0.5133655349370092,5.6860047856923188,5.159546522295102,-4.9965170343760406,-2.1413491686228663,-0.82106331934966148,6.3522821942921723,-0.51868814429081977,-1.7872458418253809,3.3782621900197118,-1.169714810455218,-2.4311220367792994,1.5110184232350439,-1.2300030310992152,-1.2066546698454768,-1.225744934881106,-3.5523766001109034,-2.6143294294718653,-2.6177423914317042,6.0290595571156587,-0.50202726026810707,5.5554124395009126,-2.0825966318491846,0.82027926841937004,-1.0108128507975489,5.9120933095570649,-0.79877247860468925,5.0785557309743012,-0.31409719785489143,-1.3025124987009913,-4.4558144529704009,-2.3140825947169215,-4.6657434423808013,0.41521671215258538,5.1376625577565278,-3.4929128607157618,0.48376431862078606,0.29471722046099602,3.2478906194325536,-2.2987181862238795,-1.0797995050791651,4.2867161313649262,0.0086186210270970953,-1.9105398376826197,0.51899733940325676,3.5210286656972021,-4.0809699018839751,3.3192664662953466,0.70587757030688225,6.1707736531849946,-1.5136269052866846,4.7605287114735688,1.2189218083973974,0.45066287914477288,-0.091579588258638989,-1.3130245526675135,-2.0013136585596949,4.0836221257802094,1.0017936507817358,-2.5277898033503443,0.11476179758273064,-3.4343720396403223,6.1084958593007173,3.0255440751668066,-4.9682110269907866,-0.095709474885836254,-0.18845281204022468,-1.0779137929324061,-2.2594849785212427,-2.3959475477579981,3.6926156560536474,5.6331044713612641,-2.3972980697993189,-2.1494072397593409,-1.8019695003870875,-2.0892197807673365,-2.9782463034037501,-2.4243255575541407,3.3101173917409032,6.5054933110829438,-2.6928626020792872,-1.9548871239069849,-1.0323364158514887,3.8065759221669286,0.62841287056170403,-3.9875546415690333,-1.8541104515437037,0.92590418258868157,0.30194666782580315,-1.5018984397295863,0.4845412055607885,-0.17712667783536018,6.4476925412770356,-0.47259341379441322,-2.5780229290369898,-3.4406310041788966,-1.6972892006281763,-1.2190810163859278,0.82663360038958489,-2.8337613066080958,-1.8718189915064722,-2.4918985088709742,-0.4765626957062632,3.815107492601499,-3.0737915953043848,-4.5077687223795806,-0.55044420262612404,1.6344713250752538,0.59758129516802727,2.3286994973774999,-1.5176588614825159,1.3997396508809179,4.3693019429799165,-3.5230122526530177,-2.2236046512965113,1.099791912233457,-1.3247968276385218,6.2552506009694184,-4.1716831644419585,-1.3806635459307581,-3.7157302816752344,1.2596484700795263,-0.46185544332303108,1.3177145997639745,-2.3060733993891627,-0.057403357828035961,-2.1491220911387354,-1.5088147242907435,-2.2488428076151759,0.89430573383532463,-1.2219919284228236,-1.7824537475947291,4.7233945409413423,-0.8146330138090998,0.60548105636797844,4.515163091814145,-2.2426744421366602,-0.93062654336728157,-1.4334760030154139,-3.3568438013438135,-0.10162368615902961,-1.2473947127703577,-1.5495269616488367,-3.387439819181338,-2.4978031834010035,-2.4426278789881617,0.23960020939074456,2.0904172937031835,-2.0420862158183009,4.447622923051938,0.33577218452654778,6.0066849271412934,-1.2338218410853297,-0.76057930489815773,1.4095458070393652,-0.41820094188489021,-3.2321222742442042,5.8363801519032563,-3.3232058008555323,-2.5770795067194849,-0.31931096514500679,0.72523787418566643,-0.036010058725252758,-1.6460498293284327,-4.2690785845164214,5.3818947354909028,-1.8912765701655299,2.2370673696156591,-3.2408536394480616,-0.01739844878949226,-1.6100855191592127,1.1436475793477148,-2.5046910961512476,1.2412191907521337,3.1574496308919042,-1.7195602377299219,-4.7333548982981597,6.1509872953053559,-0.61843190541304649,-2.2150703390482813,-5.430299611890689,-2.640328617895022,-2.9598692377451807,-2.3358186205271632,2.9129666368123144,1.7064711133595556,-2.3687793930415064,-3.3262511213663966,4.272367624437436,-2.3304073532465845,-5.2894814928416167,-1.5694117864016444,0.69464531341753899,1.2206509391423315,-0.38724771341122688,-2.281199904287234,0.87080135742388665,-3.0151425321940333,5.7142797986622895,-1.7597033699396998,6.3953572789784516,4.580111650621518,-3.4103980978373438,6.4420615712758149,-4.1383369882944976,-0.40766781767643989,-4.5225485285166656,-4.4413059671763335,6.0136028806325044,-2.5683570822123438,-2.0698828419093043,5.9267965833302583,5.8210684339161958,-1.584379287565127,2.4513479749318212,0.31395700374804436,-2.8859759291056544,-1.6249425133112818,-2.4603950699213892,-1.8524055202845484,-5.2353986223582183,0.18474444547854363,-2.2207362373713404,5.3366757909413423,6.5767537633534516,4.927673963701352,-3.2087076624277979,-1.4646193703059107,-2.422739358747378,5.3576818982716645,-2.099086376035586,-0.80372051348723472,-3.9434927423838526,-2.9411636312846094,1.1226489822026342,-1.3077832778338343,-0.78446293076314033,-0.68009287318028511,4.4954034368153657,-1.7862660606745631,2.6894771138783544,-1.0091382583025843,1.5287803689595312,5.8734637776967134,-1.9619347771052271,5.6830383817311372,-2.5390444715861231,4.1398221532460298,-1.2197047789935023,1.6846672574635595,6.1165787259694184,-1.2854562123659998,-0.56570275327004493,-2.1670902689341456,-2.8032799681071192,-1.1525176187399775,-2.3812174518946558,0.88983025947771965,-4.9088624437693511,-1.5525943954829127,-3.266095014417544,-1.3213318904284388,6.33929028907977,6.3083335439320649,5.3751651326771821,2.3950490037556738,-2.5892675836924464,-4.4900182207468902,-3.7087305506113917,5.0579430142994966,4.3881346265431489,-3.241342874372378,-0.76926513587869705,4.7141295949574555,4.8203302899952973,6.2412511388417329,6.1266581098195161,3.4219328443165868,2.9060088674183935,-1.6100386103037745,2.0702642480488866,-0.63595286955870689,0.001632181799039234,-1.7061382254008204,2.1587850133534521,-5.0214823206309234,-1.8804079016093165,4.8964935819264497,-0.22585761746205391,-0.9315751661900431,1.6518577615376562,-3.7565096338633448,4.5343104879017915,-0.25433305105008186,-0.59171976348198951,6.2357431928273286,-3.9927330931071192,4.1006461660023774,6.3245631734486665,0.31341960827074944,-2.3546580990199,-0.027807446325197827,-1.5766496380213648,-3.1263745745066553,-2.0799854715708643,-0.87494377990998329,-4.1723013838175689,-2.6738413294199854,3.1740800420399755,-0.7417087220940739,4.9637571851368989,-2.4503285606745631,1.6926080266591161,0.85934927860461174,3.4705716649647802,-3.294992776716128,-2.8455587347391993,-3.1253803690318018,3.7592670003529638,-0.76378666808642448,-2.0003306587580592,2.2952796498890966,6.1151291410084809,-1.1817605515364558,-1.4531759341601282,-4.4622977693919097,-0.50720545848645271,4.1018168012257661,3.4780861417409032,-2.2370871027354151,1.986632732545957,-1.8131473978403956,-5.0639975984934722,-2.3007143457774073,-2.705123277509585,0.035058585798367847,0.22291055122576653,3.6925312558766454,2.8941611329670995,-1.845871420705691,0.78922310272417961,-2.3646841963175684,0.97853210369311272,-1.6979959925059229,-5.2773097475413238,1.0312146226521581,-2.0426032265070826,-1.8615666349772364,-1.660240681970492,-5.3637460192088042,4.6611811200734223,-1.0947847386244685,-1.9412618597391993,-3.1654377897623927],\"z\":[1.7209126597205178,0.304718563512899,2.9518279677191748,-0.11627197806444017,2.527021372870542,-1.1616564149102195,-0.44043216650094835,-4.4422009343346582,-1.8901479596337303,0.64212461765203632,0.90162458475027241,-0.5616598481377586,-0.31387249176111071,1.6474694853583352,-1.8559828156670555,1.3017032986441628,0.53710638935957111,-1.2055859917839988,3.2410707121649756,3.5603587275305761,2.2997942810812964,-4.4041054600914942,3.0363416319647802,-4.1149027699669825,0.53898705001268543,-1.3542396182259544,-1.0455540770730003,2.2678830271521582,-3.1062190884789453,3.3926832323828711,-1.9399180764397606,-2.1132080907067285,0.8171541338721291,0.90080531890783466,3.2868349200049414,-2.2322132939537989,-1.6255686635216697,3.6978158598700537,-3.3646304959496485,-4.3691227788170801,-0.46031162683572618,-1.7735357636651023,-0.24576518480386583,1.0056945925513283,0.77559181507024921,1.1263341551581398,0.76457359846029438,-2.0971832627495752,0.32114868070278318,-2.1789520138939844,0.59330972488317646,-4.064512526436709,2.7288589125433935,-0.74776128475274883,-3.9802940243920313,-2.265229021950625,-2.1370454186638819,1.3236580735007302,2.5187892561713232,-2.0720038766106592,2.070060694769956,-1.8430841321190818,0.54968904908094562,-1.9872184151848777,-2.2787847871026026,-0.65203252975549542,2.3033556586066259,1.9580397253790871,1.5473641997138039,-1.1801981085976585,2.8522421961585058,-1.9414627904137596,2.2424358969489111,1.4935800677100197,2.6814934855261816,-1.8734398240288719,-1.0633577460488304,1.3253179436484352,-1.3942010754784568,1.4389643317023293,0.87805118616018452,3.1031601076880468,3.1063513403693213,1.1078978424826638,0.92488339002523579,-0.33500662986841051,0.91635533626470722,-0.61538109724130474,1.9235921746054665,-0.84139434043969952,2.2650366669455542,-2.0481994504174219,-3.7735307568749414,0.60138397868070759,-0.051875984116457385,-1.3837494010170921,-0.086225038214586658,0.22023350949678572,-2.3228574151238428,1.8464862948218361,3.7029113417426123,1.2781826501647011,-0.56737945024576031,0.46906028892192991,-2.2135410660943018,-2.0628683919152246,-1.2380369061669334,-0.04046544973459093,0.837201023654081,2.9908573275366797,1.2327821498671547,1.9862050658026711,-0.17170277778711168,-2.2872708195885645,1.6243790036002175,-4.4389136189660059,1.1687112694540993,-1.7915833348473533,-0.93923786823358379,0.89649810846243061,-0.089318996115587634,2.4751481657782568,0.021782869652844983,1.0894958620825783,2.415010178641416,-2.4634974354943262,-1.4219024533471092,-2.0867083424767481,-1.6111193055352195,-0.87906924430932842,3.3997888212958349,0.84418412502203144,-1.2857990616997703,-1.5206691378792747,2.2332950478354467,1.4481854086676613,1.1002716666022316,-1.3295537585457786,2.6543135290900244,2.2881769781867041,-0.75032225792016827,-2.3060582036217676,-0.78535715286340557,2.4039139395514502,-2.3108218068322168,0.51729873772058643,-0.67585364524926983,0.053315753296948987,-1.8620951527794822,-1.9020243043145164,-1.2004583234032615,0.78582485969457783,-1.6618275994500145,0.86647834833059467,-2.3881311768731104,1.5621211176672951,1.9238834028998391,1.0202697759428994,0.47894205357227476,1.3589428907195107,-0.32135615293588488,0.68090977723989643,-0.55646727029886089,1.5054069405356423,0.55365350301656879,-1.5736995095452293,0.95347877796087421,1.1247000342169777,0.71669798548612751,-2.29292706195917,0.71361448820028461,3.739574158743955,1.3499763255873696,-0.61775795166101299,-2.1065354699334131,1.6193426495352761,-3.5662513131340967,3.0720355158606543,-1.9200106019219383,1.8633428459921852,1.5980829840460793,1.7556627636710183,1.7654970532217995,3.3954834585944189,0.94232525880727924,-1.9662084931572898,-1.849751507683657,-1.9525401944359764,1.4878282194891945,-0.63729122821893536,-0.7145071381768211,-0.39546743576135485,-1.3430507535180076,-2.0330062264641748,-4.1679814213952051,1.0494790321150795,1.4979819899359719,3.2407769804755224,-1.3561985844811424,1.0498764162817971,-1.191149269982241,-2.0094900483330713,-1.8639381283959373,-0.47995248977746813,-4.5793383473595606,1.6782898550787941,0.74070682580862202,-1.5883779877861961,-2.3771019334038721,3.1538161879340185,3.7083072310248388,-2.0808737630089746,2.0160249119559301,3.8996264582434668,0.14952222462091597,-2.0323360318383203,1.6737135296622292,2.1459217911520971,-0.31565431301202623,-0.026652877970598621,-4.1024010533532129,-2.1747932786187159,-0.94935015384759747,1.6422769671240822,1.5686887150565163,-1.7098124379357322,1.1636628156462685,-0.7162318581780418,-1.7282541150292381,2.2822488194266333,-3.2276380414208399,-0.078878974362276477,0.74750124867353596,1.5832513218680397,-4.0884254330834375,-1.0145118588646873,1.189559364871122,0.3903947194973007,-0.94834426586236797,3.1389162188330664,3.1442126875678076,0.47066290880832823,-1.2757071608742698,1.0581040626326577,1.1477326398650185,0.32490608300361784,1.9128696566382424,0.5173266773978249,3.0760864859381689,-1.1544330472191795,-1.9826200360497459,-0.64909449760522686,-0.23120782320108263,-1.76178578083124,-1.7653222436150535,-3.3801544064721094,-4.5782168263634668,1.0214734321394936,-2.2039041871270166,0.72845580633077778,0.88445487077627338,-0.29914370719995348,-1.0816707963189109,-1.9775553101738914,0.39048799331579359,3.4803926592627539,-0.32863870803918688,-4.1809685582360254,-0.092906569882296008,-0.93725935165490948,0.74785491283331074,0.18445610459242018,1.2826760655203835,-1.2093589657982811,3.7233423834601416,1.2038882618704811,-0.49340949003305284,1.7500769739905373,0.059543306187726575,-1.8433957452019676,-4.282156741066836,0.72548347170744099,0.66199704463873066,1.3617116456786171,-2.2377672547539698,-2.2304728383263575,1.6928121691504494,-0.30780450050439684,-1.2986466044625267,3.625844443396665,0.34684939514193686,-0.9748978966912254,-0.88790789787378155,-0.12677953188028185,-2.02537015621271,0.84438320453558124,-0.21080580894555895,-1.6897497529229148,2.1563965922156347,-1.2289797419747337,2.7292678004065527,-3.7606008404931055,-1.0677769536217674,3.5967497473517431,3.3604943400183691,1.1257096772948281,1.3127427345076577,-0.76174894516076885,-1.2205983752449974,1.3196410780707375,-0.30704352800454943,1.7848413830557839,-2.7273321503838526,1.1913472061911599,-1.5190250033577903,-1.6133187169274315,-1.6711378449639305,1.64319309051428,-1.9469058865746482,2.2391173487463965,-3.567005431099795,-0.79229167644586407,0.58494160528574146,1.1052656417647377,1.0154487734595314,1.4312659149924294,-1.6040673608025535,1.2016483789244667,0.15209474618826063,-1.9866021031579002,-3.9850170964440332,0.46787341143283995,0.12375443632993849,3.3176071291724218,3.3351301794806494,-0.17860732023324816,-0.40273997728433458,-2.2626276368340479,0.15176876838598402,-1.4128768796166404,-1.7225137109002098,1.9167555218497292,0.71580704505834736,0.77422132547292866,0.83087646420393146,-1.174794232293032,0.9538275843420998,-0.67436913196649395,-1.3853454941948875,0.055805141285993176,2.6971456652441992,-1.7222819680413231,-2.036694561882876,0.22020485456380995,-1.0017899626931175,-2.0363965386589991,1.9681576138297097,-0.60229984466638409,2.8106479292670263,0.7931694930354134,1.2149381881514565,-0.59038505498971783,-2.3249888772210108,-1.0659122819146141,-1.3062185401162132,0.43357135187182577,2.4989740496436132,-3.7645094746788965,-0.038051163597963733,0.098663741902448254,1.1280154829779641,3.7040762549201025,-1.1353292817315086,-2.2370138520440088,-0.73369005863275372,-2.0130548829277979,-2.1559827679833399,-0.45105413143243639,-1.5762316340645774,2.6990682726660742,1.4027789479056374,1.7726575976172463,0.37313892850000413,-0.86793092434015118,1.7184003239432351,1.8767610436240212,-1.1653086299141868,-1.5945712680062278,-0.19997534696664659,-0.27938840334024279,0.9043699746886269,-1.3924358243187889,-1.7441013211449607,-2.164802586480044,-1.8035307282647117,-1.8367646092614158,1.1526832824507729,0.50072960014734424,-2.2032118195733057,2.7361378317633642,-1.7908523434838279,0.80211066658888019,0.25911098177824171,-2.3312256688317285,0.96546807344350971,1.5409364348212258,3.214291298941709,1.1345819478789345,-0.99145928566064678,-3.8196928853234278,3.6591691618720068,-2.5635261887749659,3.3964278345862402,0.8544526642123238,-2.1815410012444483,2.2979336624899878,1.2083266025343911,2.6538922434607519,-1.666209256096743,-3.8914845341881739,-3.7873032445153223,1.6922328120032326,3.0861770754614843,0.4213397895852104,-0.360995268269442,-1.2482587451180442,1.9154033308783547,2.0755170231619848,-0.26055273954477159,0.32712042163405569,1.4042644148627297,0.71589305456075825,-1.821381842537783,1.0160376673499123,0.78435095603857197,-1.052843605919741,-2.2612905854424463,0.6890948658743874,-1.8348224515160545,2.9087946062842382,1.6430362110892311,-0.4968474263390526,2.6027874594489111,-1.3492400998314842,-1.486954843445681,-2.07944730465021,-1.1020439023217186,-0.54610196296777569,-2.2726106995781885,1.2273513322630898,-3.0372295731743799,3.5530161505499853,-2.1356568688591944,-1.7008445615014061,1.016341054991819,1.5856625681677834,-0.14174357597436754,0.88299956376943745,2.455823863104917,0.98261817748937763,0.75345029886160053,-1.5385767573555931,1.5969053154746071,-2.8063612336358057,3.5408041125098242,0.98550584371481098,-3.5016446465691553,-0.75427452270593487,-1.2737386578759178,-1.6466327065667137,-1.8502304906090721,-2.3419442528923975,-2.0458758229454981,-1.2706771249016746,1.9913510924139992,3.4627344256201757,-2.2016206139763819,-2.2152846211632715,3.0283591395178808,-0.47989234869088976,0.068220908001996594,-0.77350369636621319,0.50619247014913715,0.83226543124113239,-0.759559070511721,-2.1788525933464991,1.9045886641303078,-3.9743526334008203,2.6428641920844091,0.82426616008672871,1.0060130005637185,-0.90193072502221905,0.99577304180059589,2.2701818590918554,2.87701340969,1.1097865944663063,1.0397622233191506,-1.4801934117516502,2.5116467123785986,1.0542903190413491,-0.10410792176332323,-0.52546677534189068,-2.2278192395409571,1.8003981953421608,3.2558207159796728,-0.13142303173150865,1.5368673449316994,-1.7740826958855613,3.0596899634161963,3.1895594244757666,-0.17401996795739977,0.91778298671636738,1.6361664181509987,-0.73427704517450176,-2.2525081986626612,-2.2196486348351465,0.69169294293317951,-0.46725687925424425,1.1021707301894204,0.53705961461458362,0.62042188103590168,0.86326968129072346,-4.1374972218712793,-0.08763489667978136,-0.55257776920404278,0.70897960122022785,1.4694782143393532,-1.6909764165123924,1.7370013838568703,-1.2234360331734642,1.392500722960569,1.1404010897437111,0.70430269296560444,-0.77642956916894756,0.55308466608915485,-0.35568419639673082,-1.5766607875069603,1.8585914021292702,-3.3035679215630518,-2.3364601487359034,0.90753599460516132,-2.2550762051781641,-1.1180763596734031,0.65383696015272297,1.2952232008734719,-1.9782958382805809,-0.59248397295083843,2.2972430830756201,0.038324529484845715,0.091932917193509656,2.0057422762671484,-4.1635878438195215,-1.8778262490471824,1.3438335901061074,0.043047363118268567,-1.7005379552086815,1.8161207085410134,-0.69823590461816631,-1.9868114346703514,-0.68850151245202862,2.8571991568366064,0.96169736440572895,-2.2192685956200586,2.4049763327399267,0.58710421080980457,1.6121569519797341,-3.7493899220665918,1.4361596947470681,-2.0254648083886133,-1.0320638770302757,-2.194324767037295,-3.3233628625115381,1.1207342391768471,0.93353792484197773,-4.3238962048729883,-2.0157058591088282,1.3689778691092507,2.3818230276862158,-1.6327367181023582,-2.2361541146477686,1.2783063894072548,-0.34779039566125719,-1.6785416955193504,-1.3047206753930076,-4.0978777760704981,1.7616051083365456,1.1861673241415993,0.96773936803732075,0.19234318490419539,-0.61603239719476544,3.5063635950842871,-4.0356600636681543,-2.7837984914025293,-2.2865541333397852,-2.1630576008995996,0.47733135725650938,-0.85122517292108379,3.5315065031806006,1.2911687141219155,0.43814096058998259,2.8295335417548193,1.0183514600554482,-2.0716970318993555,0.074111575440503674,-0.1683719510277733,1.8081029301444069,2.813250506476499,-0.17830512468423693,2.2930901890555395,1.8301757221976296,-2.1124124879082666,-2.3127229565819727,2.3696720248023047,3.7532853728095068,3.6653802042761816,-2.2501683587273584,-1.7157409543236717,2.5517861491004004,1.3657154088774697,1.0044521933356301,-1.9490778798302635,-2.0694294327935205,-1.3766488188942894,1.0883080011168496,3.7152385359564795,0.24303577299509199,-2.3975520486077295,-2.0111916417321192,-2.1207371110161768,1.323900664404966,3.4216956740180029,-2.1676068658074366,0.2165401970902458,0.53535660560522236,-0.029214953823946399,-1.4250539893349632,1.3786654120245949,-2.1199062222680078,-2.290758168145083,2.2367086058417334,2.3664700632849707,1.4042710905829445,1.6668164377966896,-2.2967899197777735,-4.0652792805870996,-0.19649956171121447,-1.7053244466027244,-2.096262490197085,-0.27862081472482531,1.8389694338599221,-0.70852748100366436,0.39061276912037285,-1.4190649146279319,0.61508458311948933,2.6585242396155371,-2.3407025689324366,3.5099353438178076,3.1888248568335547,-1.7592449540337547,2.296513879851438,-1.2292689437111839,-0.55698255245294415,2.4151751642981543,0.8907671218672768,-0.10765579883661119,-1.8264146203240379,2.3196100836554541,-1.9832051152428611,-4.1977947110375391,-1.2108956927498802,-1.2360688800057396,-1.8238900059899315,-0.86720553581323467,-0.027806436463259143,-1.7001874798974022,-1.2176562899788841,2.3941752558508886,-0.45528093521203844,2.2259193306723608,-0.068795179768465442,-0.41647366230096666,1.3449152951994912,-0.54538110439386212,1.3633727675238625,0.85273441131506122,0.24904445763025435,0.6631188338557259,0.4339464550772682,-1.3287616128167137,2.2579960470953955,-1.4042799824913963,0.61381466145906605,2.3593933230200781,0.8688000386515633,1.4263145571509377,-1.6951468342980369,2.7577550059119238,0.17524067516718062,0.9498038535872475,-2.0003671998223291,0.18651787395868452,0.43843322451505812,-3.9814703816613184,0.57061597164068378,-1.5036745423516258,3.0048808699408545,-0.33383670990075914,1.7172023897925393,-1.6321361417016014,0.98652752693090595,1.9697740917960183,1.0880603438178078,-0.53754291479196392,2.773108208731748,-4.2355239743432032,-0.37801322881784288,0.72456821258459247,-2.0279355401238428,0.54893437977228321,3.1907698756018652,3.0268418436804785,3.457516396597959,1.4449412470618264,-3.340039288445376,0.84601234848890461,-1.4419619197091087,2.3569098358908667,-0.14701214973535387,1.4355934506217018,0.62639995868597187,0.99976345355901874,1.2342852001944558,1.2835021858969704,1.2228841429511086,-0.21482173149194567,3.613076413230039,-2.3255999440392481,-0.17167637292947618,-1.5193666571816429,-0.21886805240716783,0.57198853249941028,2.5018155222693457,3.2400831824103369,2.9130816107550634,-2.1386235112389551,-0.26648065988626329,-2.7126224393090235,-0.13236359302606432,-0.18778732959832994,0.67918309028539814,-0.97862473671045147,2.0716530924597754,-1.9102948064049705,-1.6672747487267479,-1.7135117406090721,-2.2741632813652979,-0.32925484125223009,-1.2433543557366356,0.36929347710032018,1.8232771998206154,-1.2759771699151023,1.1154466515341774,-0.021791195317171497,-1.1791127080162986,0.8878723030844704,3.6451568251410498,1.9975769167700783,0.7745423858920113,1.2915099507132546,-1.8756244534691795,-4.3823464268883692,-1.4591155404290184,-3.7586329335412012,-1.5040309781273826,-2.5591385716637598,-1.6513920182427391,1.5046544914999977,-2.0850282067498194,-2.1008479947289453,2.6287481432715429,1.1270150786200539,0.32470682095084341,-2.057024037285708,-1.2075527066430076,-1.065495407029055,0.13675721939001234,1.3079818731108681,-1.2754156941613182,2.884389365271665,1.3640479093352333,2.0701118355551733,-0.37930515949334948,2.5852379446784033,1.2134255414763466,2.5993244295874609,-2.2355978841027246,-1.3153759593209251,-1.8953039998253807,-0.45669290964212267,0.87915643508825458,-1.6264961117943748,-1.0798709744652732,1.6988180523673073,-0.94540134613122784,1.667353714064695,0.037134016112424451,-0.90237275306787335,1.2605692392149941,-1.1737389916619285,0.40754000674281271,1.4392054920950905,-0.45946708862390367,-3.0717862004479395,1.1325286274710671,-0.66270211879815899,2.3558253889838232,0.1166816001692787,-1.7870245331963523,3.0938043242255224,1.4199568873206154,-2.2672367448052393,3.5120024328986181,1.9821776991644875,-1.0933958644112571,-1.7200847024163231,-3.6352956647118555,1.8281238919058815,3.2434551363745703,1.7570126896658913,0.94751032646093525,0.94733711536321796,1.0536057596961037,-3.5108058804711328,1.2466590052405373,0.47824824060592802,-1.6976774090966209,1.6713567620078102,-1.3610468262871727,-0.77255121414270245,-1.1383841389855369,0.02872138674650343,2.4830815439978613,0.88447066600713886,1.9429345970908181,-1.0324172133645042,-2.3510797375878321,-1.4476848000725731,0.26201189513597639,1.1477381830969826,-1.4810302609642967,1.7048794871130959,-0.53395435754861675,1.6828380471030251,0.90038057620916523,-0.99898735229577862,1.2779807096282021,-3.4881890172204004,-1.5146830434044822,-0.72990480606164776,-0.610877429886721,-2.2288358563622461,-1.8078728074273094,2.216438139037229,-1.5956042165001854,1.2107753997603432,3.7306248789587988,1.7515104656973854,-2.2431216592034326,-3.7950709218224512,-0.27807972375955431,-1.5701052302559837,-2.0571282262047754,2.8631963377753271,-0.4825310463150963,1.6426313763419167,-2.0708632821282373,3.3254556303778662,-1.9241636151513084,1.9326098805228249,2.1696555262366308,-1.3984380120476707,-1.1418389434060081,0.19010824914369734,-0.1337219232758507,-2.1535916680535303,2.7292859202185644,-2.2689855450829493,2.4331793432990088,1.0194046741286293,-1.8206553811272606,-3.9941161030968653,-2.0084650868615137,-0.075243359251879138,0.55220734532270588,-0.75211945716943585,-1.5432904118737205,-1.80182484333124,-0.82482949440088116,0.86275687272939838,-3.5396340245446192,1.3238997703352944,0.044734383181668835,-3.2960760945519434,-2.0534053200921045,2.2898159867087378,3.2229990607062353,2.7280842905798925,3.2318439131537451,-1.2646129483422264,-1.4033933037957176,-0.47724065725412218,0.92000427301321186,3.077028000907041,1.6591003781119362,2.000695312575437,-2.0032043809136377,0.43237840588483961,2.5682856684485449,-0.60239753667917095,-2.0061273926934229,0.086906844929792004,-1.5733874196251854,-1.7488398904046043,-2.2866111153801905,-2.2330105656823145,3.6391958838263525,-2.0540738457879053,-1.4164207333764061,-0.025705700560472888,-1.9356620663842186,0.99586179311666645,1.7376130467215554,-2.3733580464562403,-2.0383117551049219,1.4584244137564675,0.66361799295339741,-2.2756264561852442,1.240804219798185,-2.1218195313652979,-0.42767701093759386,-1.2472914809426292,-1.4674115533074363,2.4409746771613134,-2.2123680466851221,-1.3827655667504295,1.845051730231382,-2.5346234196862207,-1.4120872372826561,-1.3125818127831443,-0.012733524485491199,0.95320072229299702,0.21816810424719008,1.9236166125098244,0.075430149392224866,-2.3801901692589746,-1.9588947648247703,-0.29265860263910143,1.6331224089423195,1.1292436962882058,0.88943287189397968,-2.2359147423943506,1.5138283615866677,1.9692984467307106,0.72607460077200092,0.69116958434972919,1.4489907866278664,-0.63467577640619122,1.1443618779936806,-1.4216475838860496,0.54873485322389759,-0.38111028616037218,1.5091299658576027,0.79618325288686909,0.56344146485719837,0.7448875253954903,-4.1484949940880762,-2.3450262898644434,0.51448547299299396,1.9984683638373391,3.2512380724707617,1.1803533678809182,0.071157509640790539,2.7110910063544287,0.73239692504797138,0.9550708180228249,0.3882182344729081,1.0160740857878701,-3.5063732022484766,-2.0848410481652246,3.2758783942023291,2.0168980007926001,1.0070734267989174,0.077136183337308484,3.4548844939032568,0.11523925717268141,1.8868381624976174,-1.9708857888421043,3.0285789614478125,2.9304322844306006,2.6455645209113134],\"text\":[\"Cell:CAGCCGAAGCGATATA
Exp:0
split.by:All_cells\",\"Cell:AGTGTCATCGCCGTGA
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGTTGTAGA
Exp:0
split.by:All_cells\",\"Cell:CACAGTACATCCGTGG
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTCATTGGGCC
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTGTGTGACCC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:ACCGTAACAAGGTTCT
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGGTGGGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGGTCCCTTGT
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTGTCTTCTCG
Exp:0
split.by:All_cells\",\"Cell:CCGTGGACACGAAGCA
Exp:0
split.by:All_cells\",\"Cell:GAACATCAGCAATATG
Exp:0
split.by:All_cells\",\"Cell:TTCTACACAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:ACGGCCACACGTGAGA
Exp:0.876
split.by:All_cells\",\"Cell:CTCGTACAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CGTCTACAGATGCGAC
Exp:0
split.by:All_cells\",\"Cell:CTCACACGTCACACGC
Exp:0
split.by:All_cells\",\"Cell:AAAGCAACACGGTAAG
Exp:0
split.by:All_cells\",\"Cell:CATCGGGCACGTTGGC
Exp:5.63
split.by:All_cells\",\"Cell:ATCATCTGTGTTTGTG
Exp:0
split.by:All_cells\",\"Cell:CAAGGCCCAAGAAAGG
Exp:0
split.by:All_cells\",\"Cell:AGATCTGGTTCGGCAC
Exp:3.432
split.by:All_cells\",\"Cell:CTCTGGTCAAGACACG
Exp:0
split.by:All_cells\",\"Cell:TACAGTGTCCCTAACC
Exp:0
split.by:All_cells\",\"Cell:GGACAGATCAGCATGT
Exp:0
split.by:All_cells\",\"Cell:CACTCCACATATGGTC
Exp:0
split.by:All_cells\",\"Cell:GTTCATTGTTCCAACA
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCCAATAGCAA
Exp:1.213
split.by:All_cells\",\"Cell:TACTCGCTCTTCGGTC
Exp:6.886
split.by:All_cells\",\"Cell:GCTGCTTTCCTCGCAT
Exp:1.352
split.by:All_cells\",\"Cell:GCTGGGTGTCTAGAGG
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:CGAGCACTCTAACTCT
Exp:0
split.by:All_cells\",\"Cell:GATCGTAAGTGCAAGC
Exp:4.718
split.by:All_cells\",\"Cell:TGTCCCAGTCTCGTTC
Exp:0
split.by:All_cells\",\"Cell:CTTGGCTCAGCCACCA
Exp:0
split.by:All_cells\",\"Cell:GGGTCTGGTAAACCTC
Exp:0
split.by:All_cells\",\"Cell:CGGACTGTCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:GGTGCGTTCTGGTATG
Exp:0
split.by:All_cells\",\"Cell:TACCTTATCCGATATG
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCTCTATCGCC
Exp:0
split.by:All_cells\",\"Cell:GTACGTACATCGATGT
Exp:0
split.by:All_cells\",\"Cell:TCGTAGATCTTTACGT
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGAGAGTGAGA
Exp:1.418
split.by:All_cells\",\"Cell:AGCGTATTCTGCTGTC
Exp:0
split.by:All_cells\",\"Cell:GGACAAGTCATAACCG
Exp:0
split.by:All_cells\",\"Cell:ACATCAGTCCTTGGTC
Exp:0
split.by:All_cells\",\"Cell:CCAGCGACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:GGACAGAAGTGGAGAA
Exp:1.208
split.by:All_cells\",\"Cell:GACTACAAGCGTGTCC
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTAGAGCTG
Exp:0.89
split.by:All_cells\",\"Cell:GTTCTCGCAAGTCTAC
Exp:0
split.by:All_cells\",\"Cell:CGAATGTTCTTCATGT
Exp:0
split.by:All_cells\",\"Cell:CCGTGGACATTCCTGC
Exp:0
split.by:All_cells\",\"Cell:CTAATGGAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:AGCGGTCGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:GTATTCTTCACTTACT
Exp:0
split.by:All_cells\",\"Cell:CAGTCCTAGGTGGGTT
Exp:1.702
split.by:All_cells\",\"Cell:CGACTTCCACAACGTT
Exp:0
split.by:All_cells\",\"Cell:AAACGGGTCCGCGCAA
Exp:0
split.by:All_cells\",\"Cell:CTAGTGACATTGAGCT
Exp:0
split.by:All_cells\",\"Cell:CTCCTAGAGAGTGACC
Exp:0
split.by:All_cells\",\"Cell:GCAGTTATCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:CGAACATCAAGCGAGT
Exp:0.808
split.by:All_cells\",\"Cell:GGGAGATAGCGAAGGG
Exp:1.123
split.by:All_cells\",\"Cell:CATCGGGAGGCCCTTG
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGCTGCAAG
Exp:0
split.by:All_cells\",\"Cell:CAGAATCCACGCATCG
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CGGACACTCTATCCTA
Exp:2.947
split.by:All_cells\",\"Cell:CGTGTAATCATTATCC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAAGTTAAGATG
Exp:0
split.by:All_cells\",\"Cell:ATTTCTGTCCCTGACT
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CAGATCACAACCGCCA
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGCATTCCTCG
Exp:0
split.by:All_cells\",\"Cell:CCACGGACAGATGAGC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAAGAAGATTC
Exp:0
split.by:All_cells\",\"Cell:CATGACACAAAGTCAA
Exp:1.077
split.by:All_cells\",\"Cell:AACGTTGTCAGTTAGC
Exp:0
split.by:All_cells\",\"Cell:CTGGTCTAGGTGATTA
Exp:3.747
split.by:All_cells\",\"Cell:TCAGGATTCCAGTAGT
Exp:4.697
split.by:All_cells\",\"Cell:CATTATCGTCATATCG
Exp:0
split.by:All_cells\",\"Cell:GCGCAACAGTGTACCT
Exp:0
split.by:All_cells\",\"Cell:GTGCATACAATAGCAA
Exp:0
split.by:All_cells\",\"Cell:TTTACTGGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:GTAGTCAGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:CCTACACGTTCTCATT
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCTCAACACGT
Exp:0
split.by:All_cells\",\"Cell:CTAACTTGTAGGAGTC
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:GTAGGCCGTTACCAGT
Exp:0
split.by:All_cells\",\"Cell:TCTCATATCAGAGCTT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTGTCATACTG
Exp:0
split.by:All_cells\",\"Cell:GGGAATGTCGACCAGC
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCAGGGTTTCT
Exp:0
split.by:All_cells\",\"Cell:CGGACTGAGGTAGCTG
Exp:0
split.by:All_cells\",\"Cell:CAACCTCTCTCTGTCG
Exp:1.013
split.by:All_cells\",\"Cell:CTGAAACGTTCCCTTG
Exp:6.41
split.by:All_cells\",\"Cell:GTAGTCAGTACTCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCACCTATCC
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTACCGTTA
Exp:0
split.by:All_cells\",\"Cell:TTCTACAAGATCGATA
Exp:0
split.by:All_cells\",\"Cell:TCACAAGCACCGAAAG
Exp:0
split.by:All_cells\",\"Cell:TCGGGACGTCATCGGC
Exp:0.871
split.by:All_cells\",\"Cell:ACGCCAGAGGAACTGC
Exp:0
split.by:All_cells\",\"Cell:CATATGGCATGTTGAC
Exp:0.615
split.by:All_cells\",\"Cell:ATCATCTTCTGTCAAG
Exp:0
split.by:All_cells\",\"Cell:CCGTTCACAGTAGAGC
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTGTGGTCCGT
Exp:0.63
split.by:All_cells\",\"Cell:TTTGTCAGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:ATTATCCAGACCCACC
Exp:0
split.by:All_cells\",\"Cell:CACCACTCAATCTACG
Exp:0
split.by:All_cells\",\"Cell:GCGCGATGTCCGAATT
Exp:0
split.by:All_cells\",\"Cell:CATTATCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGCTAAGAT
Exp:0
split.by:All_cells\",\"Cell:GCGCGATTCGCGTAGC
Exp:0
split.by:All_cells\",\"Cell:CTACATTCACCGTTGG
Exp:0
split.by:All_cells\",\"Cell:TCATTTGCATTGGCGC
Exp:1.581
split.by:All_cells\",\"Cell:AGCAGCCCAGGAATGC
Exp:0
split.by:All_cells\",\"Cell:GGGATGAGTCTGCGGT
Exp:0
split.by:All_cells\",\"Cell:TGCGCAGTCTGCCAGG
Exp:0
split.by:All_cells\",\"Cell:AGCGTATTCTCGTATT
Exp:0.954
split.by:All_cells\",\"Cell:GTCTCGTAGATCTGCT
Exp:0
split.by:All_cells\",\"Cell:CAGAATCGTGTAAGTA
Exp:0
split.by:All_cells\",\"Cell:TGACTTTAGGTCATCT
Exp:1.041
split.by:All_cells\",\"Cell:GTGCATATCAGAGACG
Exp:1.487
split.by:All_cells\",\"Cell:TGGCCAGCACGAAAGC
Exp:0.84
split.by:All_cells\",\"Cell:TGGCGCACAATGTTGC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACGTCTGATCA
Exp:0
split.by:All_cells\",\"Cell:CAGCGACAGATCACGG
Exp:1.002
split.by:All_cells\",\"Cell:AAAGATGAGTGAACAT
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTGTCAGAGGT
Exp:5.384
split.by:All_cells\",\"Cell:ATTTCTGAGAAGATTC
Exp:0.949
split.by:All_cells\",\"Cell:CTCTAATTCACCATAG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTTCTTGTCAT
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGCTAGTCT
Exp:0.712
split.by:All_cells\",\"Cell:CCTAAAGTCATGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCACAGCTGTCTA
Exp:0
split.by:All_cells\",\"Cell:GAAATGACACATGACT
Exp:0
split.by:All_cells\",\"Cell:ACTGAGTAGGCTAGGT
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGAGCTGCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCACAGATCGGA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTTCTGGTGTA
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTCATACTCTT
Exp:0
split.by:All_cells\",\"Cell:ACTATCTGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCGATAGAA
Exp:0
split.by:All_cells\",\"Cell:GTTCTCGCAGCTGGCT
Exp:0
split.by:All_cells\",\"Cell:CATATGGAGGCCCGTT
Exp:0
split.by:All_cells\",\"Cell:ACTGAACAGCCTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGGTGCCT
Exp:0
split.by:All_cells\",\"Cell:CCCTCCTAGACCCACC
Exp:0
split.by:All_cells\",\"Cell:TTAACTCGTCCGAACC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCCATAAAGGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCAAACCAC
Exp:0
split.by:All_cells\",\"Cell:GTTCTCGGTTTGTGTG
Exp:0
split.by:All_cells\",\"Cell:ACATCAGTCCGTTGTC
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCCTTTCTC
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGCCAACAG
Exp:0.985
split.by:All_cells\",\"Cell:AAGACCTAGTAGGCCA
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCACGAGGTA
Exp:0
split.by:All_cells\",\"Cell:GGACAGAAGGCCGAAT
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCCACGTAAGG
Exp:0
split.by:All_cells\",\"Cell:TCCACACCAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:CACACCTGTCGCTTTC
Exp:0
split.by:All_cells\",\"Cell:GGCTCGAGTCGCTTCT
Exp:0
split.by:All_cells\",\"Cell:TGGCTGGCAGTGAGTG
Exp:6.628
split.by:All_cells\",\"Cell:GATGAAACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:TTCTTAGTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TCCCGATGTAAGTGTA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCTGCTGTC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGTGGTAGC
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTAAGAGAG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAGTTCGCTAA
Exp:0
split.by:All_cells\",\"Cell:CCATTCGGTGCTAGCC
Exp:0
split.by:All_cells\",\"Cell:CCACTACTCTTTAGTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTGAAATCA
Exp:0
split.by:All_cells\",\"Cell:ACCGTAATCTATCCCG
Exp:0
split.by:All_cells\",\"Cell:ACTTACTCAATACGCT
Exp:0
split.by:All_cells\",\"Cell:GAACGGATCACAACGT
Exp:0
split.by:All_cells\",\"Cell:CGGTTAAGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:CAAGAAACACTAGTAC
Exp:1.394
split.by:All_cells\",\"Cell:AGTTGGTGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:CGTCCATGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:CAGCTAACAACACGCC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACCATACGCTA
Exp:0
split.by:All_cells\",\"Cell:CTCGTACCAGCCAGAA
Exp:0
split.by:All_cells\",\"Cell:ATTATCCGTATAAACG
Exp:0
split.by:All_cells\",\"Cell:GTACTTTTCAGTTCGA
Exp:6.092
split.by:All_cells\",\"Cell:AGTAGTCCACATGACT
Exp:0
split.by:All_cells\",\"Cell:AGTGAGGTCTGTTGAG
Exp:0
split.by:All_cells\",\"Cell:TCTCATAAGCAGATCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGATCAGGATCT
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCCAAGTCATC
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTACTTCTT
Exp:0
split.by:All_cells\",\"Cell:GTCCTCAAGTTCGATC
Exp:0
split.by:All_cells\",\"Cell:GCCAAATGTAAACACA
Exp:0
split.by:All_cells\",\"Cell:ACTTACTGTTTGGGCC
Exp:0
split.by:All_cells\",\"Cell:ACTTACTCACCGTTGG
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGAGGACCACA
Exp:4.921
split.by:All_cells\",\"Cell:AAGACCTGTGGCTCCA
Exp:7.216
split.by:All_cells\",\"Cell:AACTTTCCACAGTCGC
Exp:0.914
split.by:All_cells\",\"Cell:CAGATCATCTCGATGA
Exp:0.588
split.by:All_cells\",\"Cell:TGTTCCGGTCAGCTAT
Exp:0.897
split.by:All_cells\",\"Cell:GCGCCAAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTTCGCACTCT
Exp:0
split.by:All_cells\",\"Cell:GTAACTGTCAGTGCAT
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:CGCCAAGTCTAAGCCA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCATGTAGC
Exp:0.807
split.by:All_cells\",\"Cell:ATGCGATGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGACAGACC
Exp:0.799
split.by:All_cells\",\"Cell:GTCAAGTAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACAGTCACTA
Exp:0
split.by:All_cells\",\"Cell:TATCTCACATTGTGCA
Exp:0
split.by:All_cells\",\"Cell:CGTAGCGAGACTGTAA
Exp:0
split.by:All_cells\",\"Cell:ACGATGTGTCGCGGTT
Exp:0
split.by:All_cells\",\"Cell:CTCTGGTTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTAGTAAGTAC
Exp:1.404
split.by:All_cells\",\"Cell:CAGAATCCACAAGCCC
Exp:0
split.by:All_cells\",\"Cell:GTAACTGGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AACTTTCGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCAATCCGAT
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCAGTGTCCCG
Exp:0
split.by:All_cells\",\"Cell:TATTACCGTTGAGTTC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCATCAGAGCTT
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCGCCTGAG
Exp:0
split.by:All_cells\",\"Cell:TCGTACCCATATACGC
Exp:0.969
split.by:All_cells\",\"Cell:TGGTTCCGTTGATTCG
Exp:0.55
split.by:All_cells\",\"Cell:AGAGCTTCATTCGACA
Exp:7.327
split.by:All_cells\",\"Cell:GGTGTTACATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CCTCTGACATCGGTTA
Exp:0
split.by:All_cells\",\"Cell:CTCTACGCACTAAGTC
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGGTGAAGGCT
Exp:1.213
split.by:All_cells\",\"Cell:ACGTCAACAGACAAAT
Exp:0.771
split.by:All_cells\",\"Cell:TCGAGGCAGTTAACGA
Exp:0.791
split.by:All_cells\",\"Cell:CAAGTTGTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTACTTGAC
Exp:0.946
split.by:All_cells\",\"Cell:AGAGCTTTCTTGAGGT
Exp:0
split.by:All_cells\",\"Cell:GCACATAAGCAATATG
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGTGACATA
Exp:1.032
split.by:All_cells\",\"Cell:TGTGGTACAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TAAGAGACAGTAGAGC
Exp:0
split.by:All_cells\",\"Cell:CACATTTTCGAGGTAG
Exp:0
split.by:All_cells\",\"Cell:AGACGTTCAATGGTCT
Exp:1.021
split.by:All_cells\",\"Cell:GGAACTTGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGATCTAGCACA
Exp:0
split.by:All_cells\",\"Cell:CGTAGCGTCACTATTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCACTGTGTA
Exp:0
split.by:All_cells\",\"Cell:TGCGCAGTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCGGAATCT
Exp:1.046
split.by:All_cells\",\"Cell:ACTGATGGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CAGTAACAGCCACCTG
Exp:0
split.by:All_cells\",\"Cell:ACTGATGAGTGCAAGC
Exp:0
split.by:All_cells\",\"Cell:CTGCTGTGTTGTGGCC
Exp:0
split.by:All_cells\",\"Cell:GAGTCCGCAATTGCTG
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTAGCGTAATA
Exp:0
split.by:All_cells\",\"Cell:GTCATTTGTCTCAACA
Exp:0
split.by:All_cells\",\"Cell:GACTAACCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:GGTGAAGAGCAGGTCA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGTCTGATACG
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTCACCGAATT
Exp:1.009
split.by:All_cells\",\"Cell:CAGGTGCAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAAGCTACCTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCGTGCAGACA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGAGTTTGCGT
Exp:0
split.by:All_cells\",\"Cell:TCTATTGCAGTAAGCG
Exp:0
split.by:All_cells\",\"Cell:TTGGCAATCGGATGGA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGAGTCATCCA
Exp:0
split.by:All_cells\",\"Cell:CACCACTTCAGCTTAG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAGTATCGCAT
Exp:0
split.by:All_cells\",\"Cell:ACGGGCTAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAGTGTATGGG
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTCAGAAGC
Exp:3.032
split.by:All_cells\",\"Cell:GATCGATAGAAAGTGG
Exp:1.214
split.by:All_cells\",\"Cell:TGCGGGTTCCAGGGCT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGTCCTACAGA
Exp:0
split.by:All_cells\",\"Cell:AGGGATGTCGCATGGC
Exp:0
split.by:All_cells\",\"Cell:TGCCCTACAATCACAC
Exp:0
split.by:All_cells\",\"Cell:CCCATACTCGTGGACC
Exp:0
split.by:All_cells\",\"Cell:GACTAACCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:TCACAAGAGCCACTAT
Exp:1.004
split.by:All_cells\",\"Cell:GGCAATTTCACATGCA
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCAGGAATGGA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:GCATGTAAGAATCTCC
Exp:0
split.by:All_cells\",\"Cell:GTTACAGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:GTTCGGGAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGTCTGGAGCC
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCGTTTAGG
Exp:0
split.by:All_cells\",\"Cell:GCATGCGCAAATTGCC
Exp:0
split.by:All_cells\",\"Cell:TCAACGACACCATCCT
Exp:0.432
split.by:All_cells\",\"Cell:CCTCTGATCATGTCTT
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCTTCTGGC
Exp:0.935
split.by:All_cells\",\"Cell:CTCAGAATCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:CGTCCATCATGGTAGG
Exp:0
split.by:All_cells\",\"Cell:TTAGTTCCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCAACACGT
Exp:0
split.by:All_cells\",\"Cell:CAGCAGCAGAGGTACC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGGTTCTCATT
Exp:0
split.by:All_cells\",\"Cell:CTAGCCTGTGCGATAG
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGGTCTCCACT
Exp:0
split.by:All_cells\",\"Cell:GCATGATCATGCATGT
Exp:0
split.by:All_cells\",\"Cell:TACGGTATCCCATTTA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGAAGCTAGGCA
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTCGAGTTT
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTACGAAAT
Exp:0
split.by:All_cells\",\"Cell:GTATTCTTCAGGTAAA
Exp:0
split.by:All_cells\",\"Cell:TACCTATGTAACGTTC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGCAACGATGG
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTTCAGCACAT
Exp:0
split.by:All_cells\",\"Cell:TGCCAAACATGACATC
Exp:0
split.by:All_cells\",\"Cell:CTAAGACGTACTCTCC
Exp:0.84
split.by:All_cells\",\"Cell:CGATGGCTCAGTGTTG
Exp:0
split.by:All_cells\",\"Cell:CCAGCGACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:TGAGAGGAGCCAGGAT
Exp:6.437
split.by:All_cells\",\"Cell:AGAGCGACACAACTGT
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTTCCTTTCGG
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGTCCGGTC
Exp:1.029
split.by:All_cells\",\"Cell:GGGATGATCTGTCCGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACATCCTAGA
Exp:0.845
split.by:All_cells\",\"Cell:GCACATATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:CATCCACCAGATGGGT
Exp:0
split.by:All_cells\",\"Cell:TGCCCTATCATAAAGG
Exp:1.015
split.by:All_cells\",\"Cell:ACTGTCCAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCACTTCC
Exp:0
split.by:All_cells\",\"Cell:GACAGAGCAGTCAGAG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTTCAGTCCCT
Exp:1.127
split.by:All_cells\",\"Cell:AATCGGTGTCACACGC
Exp:0
split.by:All_cells\",\"Cell:TACGGATAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGCAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:CCACGGAGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTATTG
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCACCAGGCT
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:CACCAGGGTACCTACA
Exp:0
split.by:All_cells\",\"Cell:GGCCGATTCAGAGACG
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCTAAGCCA
Exp:0
split.by:All_cells\",\"Cell:GACTGCGGTCGCCATG
Exp:0
split.by:All_cells\",\"Cell:GAATGAACAGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:CGCTGGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTAATGGCATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGATCAATCTCT
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTTCGTACGGC
Exp:0
split.by:All_cells\",\"Cell:TTCCCAGAGGATTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTCATCTCCCA
Exp:1.023
split.by:All_cells\",\"Cell:GTGCGGTAGTGAATTG
Exp:0
split.by:All_cells\",\"Cell:TACCTATGTCCAACTA
Exp:1.117
split.by:All_cells\",\"Cell:TACTTGTAGACAAAGG
Exp:0
split.by:All_cells\",\"Cell:GTCCTCACACCACGTG
Exp:0
split.by:All_cells\",\"Cell:TAAACCGCATTCCTCG
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:TCAGCTCAGGCTATCT
Exp:4.589
split.by:All_cells\",\"Cell:CACAGTAGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGCACACATGT
Exp:0
split.by:All_cells\",\"Cell:ACGGCCACACGCTTTC
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCATTCCTGC
Exp:0.916
split.by:All_cells\",\"Cell:CTCAGAATCAGGTTCA
Exp:0.96
split.by:All_cells\",\"Cell:TGAGGGACAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:TACGGTATCTTTCCTC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGAGCGTTGCC
Exp:1.006
split.by:All_cells\",\"Cell:CAGCGACCACAGGAGT
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGCTTGC
Exp:0
split.by:All_cells\",\"Cell:GTCACGGCATACTACG
Exp:1.042
split.by:All_cells\",\"Cell:AAGGCAGTCCGAGCCA
Exp:0
split.by:All_cells\",\"Cell:GGACAGATCCTGCAGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTCCATCCT
Exp:0
split.by:All_cells\",\"Cell:AACTTTCCACTGCCAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTCATGCCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGAGTGCACCAC
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTGACTCAT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTGCGGCA
Exp:0
split.by:All_cells\",\"Cell:GGCGACTCACCAGGTC
Exp:1.152
split.by:All_cells\",\"Cell:GGGACCTAGCTGCCCA
Exp:0.946
split.by:All_cells\",\"Cell:AATCGGTCAAACAACA
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTACATCCA
Exp:0
split.by:All_cells\",\"Cell:CATGGCGAGAGTCTGG
Exp:0.925
split.by:All_cells\",\"Cell:CGTGTAATCGTTGACA
Exp:0
split.by:All_cells\",\"Cell:CGATCGGAGCTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGCACCTAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:GAACGGACAAGGTGTG
Exp:2.012
split.by:All_cells\",\"Cell:TTGTAGGGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGGGTGAAGGTGCAAC
Exp:0
split.by:All_cells\",\"Cell:CTACACCCAGGGCATA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCGTTATCCGA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCTCTTGCATT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTCCAGG
Exp:5.419
split.by:All_cells\",\"Cell:AAGTCTGGTCTCCATC
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTGTGTAAGTA
Exp:0
split.by:All_cells\",\"Cell:CGCTATCAGGTGATAT
Exp:0
split.by:All_cells\",\"Cell:AACTCTTAGCTAACAA
Exp:3.24
split.by:All_cells\",\"Cell:GTGTGCGGTAGTACCT
Exp:0
split.by:All_cells\",\"Cell:GGGTCTGCAGCAGTTT
Exp:7.232
split.by:All_cells\",\"Cell:CGTAGGCCAACACCCG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACTCTACCTGC
Exp:0
split.by:All_cells\",\"Cell:CATCGAAAGATGTTAG
Exp:0
split.by:All_cells\",\"Cell:GCAATCACAGCTGCTG
Exp:0
split.by:All_cells\",\"Cell:AACACGTAGTAATCCC
Exp:3.323
split.by:All_cells\",\"Cell:GATCTAGCATCACCCT
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTTCGG
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAGTTAGAACA
Exp:0
split.by:All_cells\",\"Cell:GAGCAGAAGCCAGTTT
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGGTAAGTAGT
Exp:2.854
split.by:All_cells\",\"Cell:GGACAGAGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGGATATAC
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTATAATGG
Exp:0.872
split.by:All_cells\",\"Cell:CTTCTCTCATGCGCAC
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:GTACTCCGTAGCGATG
Exp:0
split.by:All_cells\",\"Cell:CTGTGCTCAGCTCCGA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCAAGAAGT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACACGGTAAG
Exp:0
split.by:All_cells\",\"Cell:CAACCAAAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAAGTGGTAAT
Exp:0
split.by:All_cells\",\"Cell:CGAATGTAGTTCCACA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGACAATCGGTT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCCAGTATG
Exp:1.169
split.by:All_cells\",\"Cell:TTCTTAGTCGGCGCTA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCTGACCTC
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTCCACTC
Exp:0.599
split.by:All_cells\",\"Cell:TAAACCGAGGATGGAA
Exp:0
split.by:All_cells\",\"Cell:CTTACCGCAAAGTCAA
Exp:0.601
split.by:All_cells\",\"Cell:CGGTTAATCGTCTGAA
Exp:0
split.by:All_cells\",\"Cell:CTCGTCATCGGTCTAA
Exp:0.913
split.by:All_cells\",\"Cell:GTTAAGCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAATCTGCA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGCGTCTAT
Exp:0.92
split.by:All_cells\",\"Cell:TGGACGCGTATTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCACGGAAGATCCTGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTTTAGGG
Exp:0
split.by:All_cells\",\"Cell:CAGTAACCATGCCTAA
Exp:0
split.by:All_cells\",\"Cell:AGTAGTCAGCGTTCCG
Exp:0.991
split.by:All_cells\",\"Cell:ACGAGCCCACCTTGTC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTGTATATCCG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACGCGTAGACGCACA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTGTGATAAGT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCACAAGCCC
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCGGCACA
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGTCTTTACGT
Exp:0
split.by:All_cells\",\"Cell:CATCAGATCATCGCTC
Exp:0
split.by:All_cells\",\"Cell:CTTGGCTCATCCCACT
Exp:2.167
split.by:All_cells\",\"Cell:AGCATACGTCGCGAAA
Exp:7.686
split.by:All_cells\",\"Cell:CTTAACTGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:GTTTCTATCAACGGCC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAGTGACAAAT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCGTTATGTGC
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTAGGTGCTAG
Exp:1.656
split.by:All_cells\",\"Cell:GAATGAACAATCGAAA
Exp:0.772
split.by:All_cells\",\"Cell:CCTACACAGATCCGAG
Exp:0
split.by:All_cells\",\"Cell:GATGCTACAAGCGCTC
Exp:0
split.by:All_cells\",\"Cell:GTTACAGTCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGACCTTTG
Exp:0
split.by:All_cells\",\"Cell:GACTACACATATGAGA
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAAGTGGTCCC
Exp:0
split.by:All_cells\",\"Cell:CGTTAGATCAGTCAGT
Exp:0
split.by:All_cells\",\"Cell:GTGCTTCTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:GATGAGGAGAAACCTA
Exp:0
split.by:All_cells\",\"Cell:GAAATGATCTTCAACT
Exp:0
split.by:All_cells\",\"Cell:GCTCCTAGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCATGCAAC
Exp:0
split.by:All_cells\",\"Cell:CGACCTTCACACAGAG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTACGCACC
Exp:1.289
split.by:All_cells\",\"Cell:GCACTCTTCCGGCACA
Exp:0
split.by:All_cells\",\"Cell:GTACTCCTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:CACATAGTCATTGCGA
Exp:0.786
split.by:All_cells\",\"Cell:CTGAAACGTATGGTTC
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCAGTCTCAAC
Exp:0
split.by:All_cells\",\"Cell:CCTTTCTTCTTCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACGTAGCGCAA
Exp:0
split.by:All_cells\",\"Cell:TTGGAACGTCCGTTAA
Exp:0
split.by:All_cells\",\"Cell:CATTATCAGCTCCCAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGTCCATAACCTG
Exp:3.085
split.by:All_cells\",\"Cell:GTGCAGCTCGTTTATC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACCTCAGCGTGAAC
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACCGTTA
Exp:3.313
split.by:All_cells\",\"Cell:CGATTGAAGTTAGCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:GGACGTCCAGTATCTG
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGTCGGAT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGGTCATCT
Exp:0
split.by:All_cells\",\"Cell:CAAGGCCTCGTACCGG
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:GCAAACTTCGGAATCT
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCACGGTGTC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTTGGACCC
Exp:4.949
split.by:All_cells\",\"Cell:CTCGAGGTCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCATCGGAT
Exp:0
split.by:All_cells\",\"Cell:TGGTTAGCAGTCGTGC
Exp:1.205
split.by:All_cells\",\"Cell:CTCTAATAGTTATCGC
Exp:0
split.by:All_cells\",\"Cell:AACTCTTAGCTGCGAA
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCACGAAGG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTGTAGTGAAT
Exp:0
split.by:All_cells\",\"Cell:GGGTTGCTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:ATCCGAACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:TTCTCAATCACTCCTG
Exp:1.152
split.by:All_cells\",\"Cell:ACTGATGTCCCTAACC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTGTCTAAACC
Exp:1.364
split.by:All_cells\",\"Cell:TCGCGAGTCGACGGAA
Exp:0
split.by:All_cells\",\"Cell:AAATGCCAGACTAAGT
Exp:0.615
split.by:All_cells\",\"Cell:TACGGGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCATTTGCCC
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGTCGCCGTGA
Exp:1.045
split.by:All_cells\",\"Cell:CACATAGAGGGAAACA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGCATCGTCGG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGCAGTACACT
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCTCAACCATG
Exp:0
split.by:All_cells\",\"Cell:GTGTTAGAGTTTCCTT
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTAGTACTTGC
Exp:0
split.by:All_cells\",\"Cell:CACATTTGTATAGTAG
Exp:0
split.by:All_cells\",\"Cell:GTGCATAAGAATGTTG
Exp:0
split.by:All_cells\",\"Cell:GGACATTAGAAACCAT
Exp:0.754
split.by:All_cells\",\"Cell:TCTCTAAGTGGCAAAC
Exp:0
split.by:All_cells\",\"Cell:ACGATACTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGCACGAAATA
Exp:0
split.by:All_cells\",\"Cell:CATGACACATCCGCGA
Exp:1.373
split.by:All_cells\",\"Cell:ACGGGTCAGGGTGTTG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTTCGGCGCAT
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCGTGCGATAG
Exp:0
split.by:All_cells\",\"Cell:CGTTGGGGTTTAAGCC
Exp:0
split.by:All_cells\",\"Cell:AACTCAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTAGATCGATA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGTCACAATGC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:ATGCGATAGAAACGAG
Exp:0
split.by:All_cells\",\"Cell:TATGCCCTCTTCCTTC
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCGGAAACG
Exp:0
split.by:All_cells\",\"Cell:CGATGGCCAACTGGCC
Exp:1.586
split.by:All_cells\",\"Cell:CAGCCGAGTAGCCTAT
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTGGTGTAG
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCTCAAACG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCCAAGTAC
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCAGCAACGGT
Exp:0
split.by:All_cells\",\"Cell:CCTACACCATTATCTC
Exp:0.975
split.by:All_cells\",\"Cell:CTGAAACTCTGTTTGT
Exp:0
split.by:All_cells\",\"Cell:CCATGTCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CAGCCGAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGACGGCGTCAGGACA
Exp:1.083
split.by:All_cells\",\"Cell:ACTGATGCACATGACT
Exp:0
split.by:All_cells\",\"Cell:ATCATCTGTAGGACAC
Exp:2.988
split.by:All_cells\",\"Cell:ATCTGCCGTCATATGC
Exp:0
split.by:All_cells\",\"Cell:TACACGAAGATCCCAT
Exp:0
split.by:All_cells\",\"Cell:CATCCACGTTACGACT
Exp:0.789
split.by:All_cells\",\"Cell:AGATCTGCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCAATCCAAC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTCAATGAAAC
Exp:1.016
split.by:All_cells\",\"Cell:GTGCTTCTCACGACTA
Exp:0
split.by:All_cells\",\"Cell:GATCGTACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGAACAACT
Exp:0
split.by:All_cells\",\"Cell:CTACACCCATCAGTCA
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCATCAGTTCGA
Exp:0
split.by:All_cells\",\"Cell:ATAGACCAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACACGCAGTATGACA
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCCATGATCCA
Exp:0
split.by:All_cells\",\"Cell:CGTCTACTCAGTCCCT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTCACTACAGT
Exp:0
split.by:All_cells\",\"Cell:GATCAGTTCCCGGATG
Exp:0
split.by:All_cells\",\"Cell:GATCTAGGTGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGGTCAGATAA
Exp:0.751
split.by:All_cells\",\"Cell:CTCGTACGTTGGTTTG
Exp:0
split.by:All_cells\",\"Cell:TTGGCAATCGAACGGA
Exp:0.652
split.by:All_cells\",\"Cell:CATCGAAGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTCAACTGT
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTCAAAGTGCG
Exp:0
split.by:All_cells\",\"Cell:GAAGCAGGTCTAGAGG
Exp:5.828
split.by:All_cells\",\"Cell:CCCAGTTGTGCGCTTG
Exp:0
split.by:All_cells\",\"Cell:ATTCTACGTTTAGGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAATGCACATTTCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCCTGCTTG
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGAGCCCAA
Exp:0
split.by:All_cells\",\"Cell:GTGCAGCGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACGTTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTTCATTCACT
Exp:0
split.by:All_cells\",\"Cell:GATGCTATCCCTCTTT
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCACGCCAGT
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTTCTGATTCT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTCACGAGGTA
Exp:0
split.by:All_cells\",\"Cell:TCTATTGGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:TCACGAACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:CGAACATTCACAAACC
Exp:0.49
split.by:All_cells\",\"Cell:TCTATTGTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGACACTAA
Exp:2.984
split.by:All_cells\",\"Cell:GCGAGAAGTGGGTATG
Exp:1.181
split.by:All_cells\",\"Cell:TTCTCAAAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGTCTGTTGAG
Exp:0
split.by:All_cells\",\"Cell:ACATACGAGCTATGCT
Exp:0
split.by:All_cells\",\"Cell:ACGATACAGTCATCCA
Exp:6.233
split.by:All_cells\",\"Cell:ACGCAGCGTTCATGGT
Exp:7.114
split.by:All_cells\",\"Cell:TTAACTCCACGAGAGT
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGAGGCACATG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATTCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAATCGCAAACT
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGCATACTCTT
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATATGGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGCGTGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCCGCGCAA
Exp:0
split.by:All_cells\",\"Cell:CCTTCCCCAAAGTGCG
Exp:0
split.by:All_cells\",\"Cell:GTAACTGAGCCGGTAA
Exp:0.875
split.by:All_cells\",\"Cell:AGCATACCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:CATCAAGGTGGTCTCG
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTGTCTCGTTC
Exp:0
split.by:All_cells\",\"Cell:CTGATAGAGCTCAACT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCTCGTCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCTCCAACC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAACATGGTCTA
Exp:0
split.by:All_cells\",\"Cell:GTTCATTAGGGTCTCC
Exp:0
split.by:All_cells\",\"Cell:GCGACCATCACCAGGC
Exp:0
split.by:All_cells\",\"Cell:GTACTTTCATGGTCAT
Exp:0
split.by:All_cells\",\"Cell:TCAGCAAAGCGATGAC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAGACCATCTTATCTG
Exp:0
split.by:All_cells\",\"Cell:AGACGTTAGCCGATTT
Exp:0
split.by:All_cells\",\"Cell:GAACCTACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:CCAATCCAGAGTAAGG
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTACAGTTC
Exp:0
split.by:All_cells\",\"Cell:CAGGTGCGTACAAGTA
Exp:0
split.by:All_cells\",\"Cell:GCTCCTATCTCACATT
Exp:0
split.by:All_cells\",\"Cell:TATCAGGCACCAGTTA
Exp:0
split.by:All_cells\",\"Cell:TGCTACCCATAAGACA
Exp:1.186
split.by:All_cells\",\"Cell:GATTCAGAGTACGTTC
Exp:0
split.by:All_cells\",\"Cell:CGGACTGCATCCCATC
Exp:0
split.by:All_cells\",\"Cell:GCGCCAACACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:AGGTCATTCTGCGTAA
Exp:0
split.by:All_cells\",\"Cell:CTACCCAGTCAAACTC
Exp:0
split.by:All_cells\",\"Cell:TGGCCAGAGCTACCTA
Exp:0.59
split.by:All_cells\",\"Cell:TGTCCCACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGAGGAATTAC
Exp:3.35
split.by:All_cells\",\"Cell:TACAGTGAGCGTTTAC
Exp:3.851
split.by:All_cells\",\"Cell:CGATTGAAGTCTTGCA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCGTCACAAGG
Exp:0
split.by:All_cells\",\"Cell:GTCTCGTCACGTGAGA
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTCAGCATACT
Exp:0
split.by:All_cells\",\"Cell:GCTTGAACATTTGCTT
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTTCGCTTAGA
Exp:0.701
split.by:All_cells\",\"Cell:GATCAGTAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:GTACTTTAGATATGCA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGTCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:TCAGATGGTAGATTAG
Exp:0
split.by:All_cells\",\"Cell:TGTCCCAAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCTCAGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CTAAGACTCACTCCTG
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCTTAGAGC
Exp:0.807
split.by:All_cells\",\"Cell:CACACCTCATTGTGCA
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTAGCGTAG
Exp:1.009
split.by:All_cells\",\"Cell:ACTGAACAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGATGGGTC
Exp:2.366
split.by:All_cells\",\"Cell:GGAAAGCGTACGCACC
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CCCTCCTGTCTAACGT
Exp:0.984
split.by:All_cells\",\"Cell:TTAGGCAGTGTGAATA
Exp:0
split.by:All_cells\",\"Cell:TCGGTAACAGGGTACA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTCACCGAATT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTAGGAGTC
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGACGCTTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCTTCAAG
Exp:0
split.by:All_cells\",\"Cell:ATAAGAGTCCACGTTC
Exp:0
split.by:All_cells\",\"Cell:GATCGTAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTAAACT
Exp:0
split.by:All_cells\",\"Cell:CACCACTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCCACTCTGTC
Exp:0
split.by:All_cells\",\"Cell:GCATGTATCACGATGT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGATGGGTC
Exp:0
split.by:All_cells\",\"Cell:CGCGTTTGTATTACCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCAGGTGTTAA
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCAGAGGTG
Exp:0
split.by:All_cells\",\"Cell:TTCGAAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGGTGATGCCC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGTCCAGAGGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGACAGTAAGAT
Exp:0
split.by:All_cells\",\"Cell:CATCGAAGTAGCGTCC
Exp:0
split.by:All_cells\",\"Cell:TGGACGCTCTTGTTTG
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGGTCACCTAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAAACGCGA
Exp:2.831
split.by:All_cells\",\"Cell:CGTCACTGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:GCGACCACACGTTGGC
Exp:0
split.by:All_cells\",\"Cell:CCATGTCGTTTGCATG
Exp:0
split.by:All_cells\",\"Cell:TGCCAAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGGTAGCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGAGAACAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACTAGAGCTTCGCG
Exp:0
split.by:All_cells\",\"Cell:CGGACTGCAGCCAATT
Exp:1.714
split.by:All_cells\",\"Cell:GACCAATAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:GGACGTCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:AGGTCCGAGTTACCCA
Exp:0.999
split.by:All_cells\",\"Cell:GGAAAGCGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:CCGGGATGTACCGCTG
Exp:0.641
split.by:All_cells\",\"Cell:CATCCACAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:CGCTATCCAGGCAGTA
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACACTGTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTTCTCGTATT
Exp:0
split.by:All_cells\",\"Cell:CGGACGTAGACAGACC
Exp:0
split.by:All_cells\",\"Cell:AGTTGGTTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTCCAGTAT
Exp:1.515
split.by:All_cells\",\"Cell:TATGCCCAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATGACATC
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGCACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:ACCCACTTCTGAGGGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCTCGTTGCCT
Exp:0.932
split.by:All_cells\",\"Cell:ACGATGTTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TGACAACTCGCACTCT
Exp:0
split.by:All_cells\",\"Cell:GACGCGTCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CATATGGTCAACACAC
Exp:0
split.by:All_cells\",\"Cell:AGTGGGAGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ATTGGTGTCCAGTATG
Exp:0.784
split.by:All_cells\",\"Cell:GATGCTAAGCGATAGC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:TTCTCAACAGTTTACG
Exp:0
split.by:All_cells\",\"Cell:TCACAAGAGCATGGCA
Exp:0.99
split.by:All_cells\",\"Cell:GGAATAACACGACGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAGATGTTAAAGAC
Exp:5.46
split.by:All_cells\",\"Cell:AACTTTCGTGACCAAG
Exp:0.904
split.by:All_cells\",\"Cell:CGAGAAGCACTTACGA
Exp:0
split.by:All_cells\",\"Cell:AACTCCCAGTACGACG
Exp:0
split.by:All_cells\",\"Cell:CGTTAGAAGTATCTCG
Exp:0
split.by:All_cells\",\"Cell:CCTATTACAAACGTGG
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTAGATCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCATTCGCAAGCCATT
Exp:0
split.by:All_cells\",\"Cell:GTATCTTGTACTCAAC
Exp:0
split.by:All_cells\",\"Cell:TGCTACCCAGGGCATA
Exp:0
split.by:All_cells\",\"Cell:GGAACTTAGGTTACCT
Exp:1.035
split.by:All_cells\",\"Cell:AGATTGCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACGTTCAGTAC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCATCACATAGC
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGAGGAATGGA
Exp:0
split.by:All_cells\",\"Cell:ATTATCCCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCAACTGCGC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCAAAGAATC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTAGTCTCGGC
Exp:0
split.by:All_cells\",\"Cell:TCTGGAAGTCATCGGC
Exp:0
split.by:All_cells\",\"Cell:AAATGCCCACCAACCG
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCGCTTGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGTTACACCTCGGA
Exp:6.15
split.by:All_cells\",\"Cell:CTCGAGGCAAGTCTGT
Exp:0
split.by:All_cells\",\"Cell:CGGACTGTCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTCAAATTGCC
Exp:0
split.by:All_cells\",\"Cell:ATTGGTGGTACTTGAC
Exp:0.906
split.by:All_cells\",\"Cell:GCCTCTAAGAGTTGGC
Exp:0.949
split.by:All_cells\",\"Cell:CGGCTAGGTAACGACG
Exp:0
split.by:All_cells\",\"Cell:AAAGATGAGTCATGCT
Exp:0.938
split.by:All_cells\",\"Cell:GTACTCCCACGTCTCT
Exp:0
split.by:All_cells\",\"Cell:TTGAACGAGGAATCGC
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCGATAGAA
Exp:0
split.by:All_cells\",\"Cell:CTCTAATTCAGCGACC
Exp:0
split.by:All_cells\",\"Cell:TATGCCCAGAACAATC
Exp:1.023
split.by:All_cells\",\"Cell:AACCATGGTTGAACTC
Exp:0
split.by:All_cells\",\"Cell:CAGCATAGTAATAGCA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTTCCTCAATT
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCTGGCGAC
Exp:1.168
split.by:All_cells\",\"Cell:ATCACGATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:GAGCAGAGTTTGCATG
Exp:0.722
split.by:All_cells\",\"Cell:TGCACCTAGATAGTCA
Exp:1.147
split.by:All_cells\",\"Cell:CAGCCGAAGTGACTCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCTGGTATG
Exp:0.654
split.by:All_cells\",\"Cell:AGCTCCTAGTACACCT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGCGATGAC
Exp:0.562
split.by:All_cells\",\"Cell:TCCACACTCACGATGT
Exp:0
split.by:All_cells\",\"Cell:TCAGATGCACGACGAA
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCAACACTG
Exp:0
split.by:All_cells\",\"Cell:CTTAGGACATCTATGG
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAAGTAGATGT
Exp:1.399
split.by:All_cells\",\"Cell:ATCTACTGTGAACCTT
Exp:0
split.by:All_cells\",\"Cell:CGATGTAGTGGTACAG
Exp:0
split.by:All_cells\",\"Cell:CTAGCCTGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTGAGTGT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTGACAT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCTCCATGAGT
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAGTACCGAGA
Exp:0.993
split.by:All_cells\",\"Cell:ACTGAGTGTTTCGCTC
Exp:1.02
split.by:All_cells\",\"Cell:AGAGCGATCTCTTGAT
Exp:0
split.by:All_cells\",\"Cell:GAAGCAGTCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:GTCGTAAAGGTGATTA
Exp:0
split.by:All_cells\",\"Cell:CACACTCAGGCGCTCT
Exp:0.998
split.by:All_cells\",\"Cell:TGGGAAGGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CGCGGTACATTAGGCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAAAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTGTTCGTCTC
Exp:0
split.by:All_cells\",\"Cell:CTGGTCTTCGTTACAG
Exp:0
split.by:All_cells\",\"Cell:TCTCTAAAGCTGGAAC
Exp:1.688
split.by:All_cells\",\"Cell:CGGTTAAAGTAGCGGT
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CCTTACGCAAGGTGTG
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCACGAAGCA
Exp:6.434
split.by:All_cells\",\"Cell:CAACCTCGTCTAAACC
Exp:0
split.by:All_cells\",\"Cell:AGCGGTCGTACCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTCGTCATCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:GGCCGATGTCAAACTC
Exp:0.859
split.by:All_cells\",\"Cell:TTCTACAGTGTTGAGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGAGCGCCTTG
Exp:0
split.by:All_cells\",\"Cell:GATCGATCAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TTGGCAACATCATCCC
Exp:6.189
split.by:All_cells\",\"Cell:TTTATGCTCCATTCTA
Exp:1.042
split.by:All_cells\",\"Cell:AACTTTCAGGCATTGG
Exp:0.98
split.by:All_cells\",\"Cell:GCCTCTAGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCAGATGGCGT
Exp:0
split.by:All_cells\",\"Cell:TACGGTAGTGTGCCTG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCAGATATGCA
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTTCGTGGGAA
Exp:1.244
split.by:All_cells\",\"Cell:AAGCCGCAGGAGTTGC
Exp:0
split.by:All_cells\",\"Cell:CTGAAACAGGAGTAGA
Exp:1.064
split.by:All_cells\",\"Cell:CATGGCGAGCCCTAAT
Exp:0.973
split.by:All_cells\",\"Cell:ACATGGTCAAGGACTG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCTCTAGC
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCAAAGAATC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTAGCCACCTG
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCACAGGCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGTCATCGATG
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGGTGTGGT
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACACGGCCAT
Exp:0
split.by:All_cells\",\"Cell:CGTGTAATCCATGCTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGCATCAGTAC
Exp:0
split.by:All_cells\",\"Cell:GGGATGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTCGTACGTTCCGTCT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGACATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ATCTGCCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGAGCAATT
Exp:0
split.by:All_cells\",\"Cell:CACACAACACACTGCG
Exp:0
split.by:All_cells\",\"Cell:TAGGCATTCGTTGCCT
Exp:0
split.by:All_cells\",\"Cell:TCTCTAATCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:ACACCCTGTCAGATAA
Exp:0
split.by:All_cells\",\"Cell:AGATCTGTCGATCCCT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTTCTCGCTTG
Exp:0
split.by:All_cells\",\"Cell:CTACGTCAGTCTCGGC
Exp:0
split.by:All_cells\",\"Cell:CATCCACTCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TCTCATACAGATCTGT
Exp:0
split.by:All_cells\",\"Cell:CACACCTCACTGCCAG
Exp:0
split.by:All_cells\",\"Cell:CTCGTACCAATGGATA
Exp:0
split.by:All_cells\",\"Cell:ACACCAAAGTAGGCCA
Exp:0
split.by:All_cells\",\"Cell:TACACGAGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGTATTGGA
Exp:0
split.by:All_cells\",\"Cell:AGACGTTTCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTGTGAATA
Exp:6.287
split.by:All_cells\",\"Cell:GCACTCTGTCTGCAAT
Exp:0
split.by:All_cells\",\"Cell:TGTGGTACAAGACGTG
Exp:0
split.by:All_cells\",\"Cell:AGGCCGTCACGACGAA
Exp:0
split.by:All_cells\",\"Cell:TATGCCCTCTTACCTA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTCACGGACAA
Exp:1.548
split.by:All_cells\",\"Cell:GTCGGGTGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCGTAGGTT
Exp:0
split.by:All_cells\",\"Cell:CGTCTACGTTTCCACC
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCAGACATAAC
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGAGTGGAGAA
Exp:0
split.by:All_cells\",\"Cell:CTGATAGTCGGCTACG
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACGTCCATCCT
Exp:0
split.by:All_cells\",\"Cell:CATGACAGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:GACCAATAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:CAGCGACCATATGGTC
Exp:1.128
split.by:All_cells\",\"Cell:TGCTGCTGTCCGTCAG
Exp:0
split.by:All_cells\",\"Cell:TCAGATGCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:TATCAGGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:GGGAATGGTCGGCTCA
Exp:0.847
split.by:All_cells\",\"Cell:TAGTTGGAGTCAAGCG
Exp:0.954
split.by:All_cells\",\"Cell:TACCTATTCGTTACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGAGGGAAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTTCCTTTCGG
Exp:0.593
split.by:All_cells\",\"Cell:TGATTTCAGTGGAGTC
Exp:0
split.by:All_cells\",\"Cell:CTAACTTAGATCACGG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAGTCCGAATT
Exp:1.335
split.by:All_cells\",\"Cell:GAAATGATCGTCCGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCCACTCCA
Exp:6.131
split.by:All_cells\",\"Cell:GTTCGGGAGGCAATTA
Exp:1.659
split.by:All_cells\",\"Cell:GCGCCAATCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:AGTGGGATCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:CGACTTCGTTGATTCG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTAACGACG
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCTCTTCCTTC
Exp:7.138
split.by:All_cells\",\"Cell:ACTGATGGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:AAGGAGCAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:TACTTACGTGTGGCTC
Exp:0
split.by:All_cells\",\"Cell:ATGCGATTCGCGTAGC
Exp:0
split.by:All_cells\",\"Cell:ATTGGACAGTCAAGGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGTCCGCTGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTAGACGCACA
Exp:0
split.by:All_cells\",\"Cell:ATGAGGGGTTCTGGTA
Exp:0
split.by:All_cells\",\"Cell:CGACCTTAGCTGCCCA
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTGCCTGCA
Exp:1.097
split.by:All_cells\",\"Cell:GCTCTGTAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:GTATTCTAGGTGCTTT
Exp:0
split.by:All_cells\",\"Cell:TCTGGAATCGGTGTCG
Exp:0
split.by:All_cells\",\"Cell:GACGTTAAGACGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCGTAGAGGACGG
Exp:0.672
split.by:All_cells\",\"Cell:ATGAGGGCAAGGTTTC
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTCAAAGCAAT
Exp:1.222
split.by:All_cells\",\"Cell:CATCGGGTCATTTGGG
Exp:2.378
split.by:All_cells\",\"Cell:ACATACGGTAAACACA
Exp:1.008
split.by:All_cells\",\"Cell:CTGCTGTGTTATCACG
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTAGTGCCATT
Exp:0
split.by:All_cells\",\"Cell:CCACGGAGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:CCATTCGCATGAAGTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCTGCTGCT
Exp:0.872
split.by:All_cells\",\"Cell:ACGATGTTCTGCTGCT
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTCACCATCCT
Exp:0
split.by:All_cells\",\"Cell:TAGTTGGGTACCGTAT
Exp:0
split.by:All_cells\",\"Cell:GCGCAACCAACACCTA
Exp:0
split.by:All_cells\",\"Cell:CCAGCGAGTACCGTAT
Exp:0.797
split.by:All_cells\",\"Cell:AGCGTATCATCTCCCA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCCTGTAGA
Exp:1.277
split.by:All_cells\",\"Cell:GGAAAGCTCTCGGACG
Exp:0
split.by:All_cells\",\"Cell:ACTGATGGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:GTAACGTCAGCCTATA
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCTAACTCT
Exp:0
split.by:All_cells\",\"Cell:GAAATGACATCTACGA
Exp:0.855
split.by:All_cells\",\"Cell:GTGTGCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TCTCATAGTTACCAGT
Exp:0
split.by:All_cells\",\"Cell:ACGTCAACACGGTGTC
Exp:1.356
split.by:All_cells\",\"Cell:ACTGATGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:TGTATTCCAATGACCT
Exp:0.598
split.by:All_cells\",\"Cell:AGGGAGTAGCTAGCCC
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGAGCTGGT
Exp:0
split.by:All_cells\",\"Cell:GGCAATTTCCGAATGT
Exp:0
split.by:All_cells\",\"Cell:GATCGTAGTCCTAGCG
Exp:0.701
split.by:All_cells\",\"Cell:TGAGCATCAAGCCGCT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACAGTGG
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTAGCAGGCTA
Exp:0
split.by:All_cells\",\"Cell:CCACTACGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:GGAAAGCAGGCATGGT
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTAAAGTCA
Exp:0
split.by:All_cells\",\"Cell:TAAACCGAGTCGTACT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGTCATCGCTC
Exp:0
split.by:All_cells\",\"Cell:CACCACTCACGAAATA
Exp:0
split.by:All_cells\",\"Cell:CGTAGGCTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:TCGCGTTTCTCTGCTG
Exp:0
split.by:All_cells\",\"Cell:GGACAAGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGCCCAGCT
Exp:0
split.by:All_cells\",\"Cell:TCACGAATCCTATGTT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTGGCTCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:ATAACGCAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:ATTCTACTCAGGTAAA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCCAAGCGTAG
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGGCGTG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAAGTCCGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGAATGAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CACAGGCTCAAGATCC
Exp:1.194
split.by:All_cells\",\"Cell:ACGAGCCAGTTCGCAT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTTCGCCATAA
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGAGTACCG
Exp:0
split.by:All_cells\",\"Cell:AGCCTAAAGCCCAACC
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:AGTGGGACAGTATCTG
Exp:0
split.by:All_cells\",\"Cell:CAACCAATCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:TGTCCCATCTTGACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCCATCAGTCGTGC
Exp:0
split.by:All_cells\",\"Cell:GTTTCTAGTCCTCTTG
Exp:0
split.by:All_cells\",\"Cell:GCACATACATTACGAC
Exp:0
split.by:All_cells\",\"Cell:ATGGGAGTCGGTTCGG
Exp:0
split.by:All_cells\",\"Cell:ATAAGAGTCCGAACGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCGAAGCTTCGCG
Exp:0
split.by:All_cells\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.87627452505493453,0,0,0,0,5.6298344785551917,0,0,3.4318927716865226,0,0,0,0,0,1.2133996752021774,6.8863884030564817,1.3522593762829056,0,0,0,4.7180091753826536,0,0,0,0,0,0,0,0,0,1.4175396885494673,0,0,0,0,1.2080246642368548,0,0.89008556501282066,0,0,0,0,0,0,1.7017070563516157,0,0,0,0,0,0.80830034771650705,1.1225042100928397,0,0,0,0,2.9465555933751828,0,0,0,0,0,0,0,0,1.0773404439212901,0,3.7465893999204338,4.6973766816695575,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.0128594247284151,6.4100702978542996,0,0,0,0,0,0.87139399335249101,0,0.61462791779182424,0,0,0.63022879389110731,0,0,0,0,0,0,0,0,1.5809383714395906,0,0,0,0.95374266355120374,0,0,1.0406888009504409,1.4867512592977243,0.84019947302087228,0,0,1.0022611579964082,0,5.3838662644037614,0.94896309719237015,0,0,0.71159438044482071,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.98543581922139767,0,0,0,0,0,0,0,0,0,6.6284993164500721,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.3939554986947349,0,0,0,0,0,0,0,6.0918725538269625,0,0,0,0,0,0,0,0,0,0,0,4.9206717423143003,7.2157755020672649,0.91428543362499481,0.5877155626392595,0.89742473889890884,0,0,0,0,0,0,0.80699214243868445,0,0.79923561626434947,0,0,0,0,0,0,1.4042984633847209,0,0,0,0,0,0,0,0,0.96931028411198716,0.54993354012258144,7.3272800641773079,0,0,0,1.2128182558075358,0.77071234804779842,0.79104077540998308,0,0,0.94567677673161155,0,0,1.032469395575333,0,0,0,1.021196356378167,0,0,0,0,0,0,0,1.0459286400024403,0,0,0,0,0,0,0,0,0,0,0,0,1.0091889777894387,0,0,0,0,0,0,0,0,0,0,0,3.0322973465941638,1.213649046084377,0,0,0,0,0,0,1.004449284717891,0,0,0,0,0,0,0,0,0,0,0,0.43167864954755164,0,0.93502183238512626,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.84034919194483326,0,0,6.4365381824725763,0,0,0,1.0292210133614934,0,0.84547345851286804,0,0,1.0153225148239047,0,0,0,1.127279729788248,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.0226763629472266,0,1.1173577438413458,0,0,0,0,4.5890672000776895,0,0,0,0.91590090923851564,0.96016336428788329,0,0,1.006427463443158,0,0,1.0421121707289513,0,0,0,0,0,0,0,0,1.1519957492279849,0.94567677673161155,0,0,0.92498815173192594,0,0,0,0,2.0116023783171677,0,0,0,0,0,5.4193729651171694,0,0,0,3.239848146014245,0,7.2316723806817214,0,0,0,0,3.3230885795743523,0,0,0,0,2.8539712990737973,0,0,0.87220339987194351,0,0,0,0,0,0,0,0,0,0,0,1.168999547848254,0,0,0.5993587058508304,0,0.60091734922642137,0,0.91321182887844676,0,0,0.91978492182607452,0,0,0,0,0.99147336914563378,0,0,0,0,0,0,0,0,0,0,2.1665334151719362,7.6856115775337406,0,0,0,0,1.6558038329920262,0.77215033120619725,0,0,0,0,0,0,0,0,0,0,0,0,0,1.2887148540684685,0,0,0.78593496187979373,0,0,0,0,0,0,3.0851433727617685,0,0,0,3.3129269921354418,0,0,0,0,0,0,0,0,0,4.9490396223967199,0,0,1.2053980215623117,0,0,0,0,0,0,1.1515517866236538,0,1.3636296676280373,0,0.61497895397427071,0,0,1.0454499165973181,0,0,0,0,0,0,0,0,0,0.75358655593192048,0,0,0,1.3733478759233073,0,0,0,0,0,0,0,0,0,0,0,1.5856553295390896,0,0,0,0,0,0.97451917011161227,0,0,0,1.0832516085436159,0,2.9878043908630678,0,0,0.78933110441286702,0,0,0,1.0155470764830179,0,0,0,0,0,0,0,0,0,0,0,0,0,0.75103591274236681,0,0.65177749580418498,0,0,0,5.8282565385163707,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.48970311399278116,0,2.9835851249142049,1.1807533782365882,0,0,0,6.2328736171499184,7.1138729807242758,0,0,0,0,0,0,0,0,0,0,0,0.87537541459707802,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.1857815173595507,0,0,0,0,0,0.59028644300949717,0,3.3495515898265613,3.8508929841636514,0,0,0,0,0,0,0.70073255194920192,0,0,0,0,0,0,0,0.80726718314111323,0,1.0087460326577822,0,2.3655768817662874,0,0,0.98365048305765057,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.8309573859626229,0,0,0,0,0,0,0,0,1.7138173987519436,0,0,0.99921505419020895,0,0.64113472037368935,0,0,0,0,0,0,1.5146846114272625,0,0,0,0,0.93221137493966544,0,0,0,0,0,0.7841836641684663,0,0,0,0.99019567208348713,0,5.4601001157450622,0.90384397182861509,0,0,0,0,0,0,0,0,1.0353886390763518,0,0,0,0,0,0,0,0,0,0,0,6.1503206526909384,0,0,0,0,0,0.90612271031731961,0.94886609062671501,0,0.93822906076465018,0,0,0,0,1.0232468372056946,0,0,0,1.1678537109942153,0,0.72150604512001415,1.1468396634338254,0,0.65398554985623958,0,0.56204801505165158,0,0,0,0,0,1.3989899366586993,0,0,0,0,0,0,0.99296852700923943,1.0196076935926301,0,0,0,0.99824019858334512,0,0,0,0,0,1.6880958603864995,0,0,0,6.4342841844280407,0,0,0,0,0.85881378322758406,0,0,0,6.189418374764041,1.0415185850879953,0.98010067069653617,0,0,0,0,1.2435541480171437,0,1.0642326957735531,0.97298089185342818,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6.2870875675840789,0,0,0,0,0,1.547767221842776,0,0,0,0,0,0,0,0,0,0,0,0,1.1279857976487269,0,0,0,0.84714550845394376,0.95423328540303509,0,0,0,0.59309780923218569,0,0,1.3348831839077311,0,6.1307731990250875,1.6588962618979448,0,0,0,0,0,7.1378837650236795,0,0,0,0,0,0,0,0,0,0,1.0968819541488015,0,0,0,0,0.67217738144145867,0,1.2215212745673165,2.3784869580120596,1.0075301025879813,0,0,0,0,0.8715557469389994,0,0,0,0,0.79728743981254224,0,0,0,1.276660057955822,0,0,0,0,0,0.85475728169107568,0,0,1.3556689090117737,0,0.59813988594398526,0,0,0,0.70134685195065383,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.1938945904110732,0,0,0,0,0,0,0,0,0,0,0,0,0,0],\"colorbar\":{\"title\":{\"text\":\"Ghrl\",\"font\":{\"color\":\"black\",\"size\":14}},\"len\":0.5},\"size\":1.5,\"showscale\":true},\"name\":\"All_cells\",\"showlegend\":true,\"visible\":true,\"inherit\":true}},\"layout\":{\"margin\":{\"b\":40,\"l\":60,\"t\":25,\"r\":10},\"title\":{\"text\":\"All_cells (nCells:1000)\",\"font\":{\"size\":16,\"color\":\"black\"},\"y\":0.94999999999999996},\"showlegend\":true,\"legend\":{\"itemsizing\":\"constant\",\"y\":-0.20000000000000001,\"x\":0.5,\"xanchor\":\"center\"},\"scene\":{\"xaxis\":{\"title\":\"StandardpcaUMAP3D_1\",\"range\":[-6.5008796387948093,4.953642970915884]},\"yaxis\":{\"title\":\"StandardpcaUMAP3D_2\",\"range\":[-5.430299611890689,6.5767537633534516]},\"zaxis\":{\"title\":\"StandardpcaUMAP3D_3\",\"range\":[-4.5793383473595606,3.8996264582434668]},\"aspectratio\":{\"x\":1,\"y\":1,\"z\":1}},\"updatemenus\":[{\"y\":0.67000000000000004,\"buttons\":[{\"method\":\"update\",\"args\":[{\"x\":[[-5.6886261636056004,3.4359456366263332,-5.3666280442513523,3.7621866530142727,-5.872935169342905,-6.1831148797310886,2.2261005705557766,2.4181076353751125,3.398643142577261,4.2351423567496242,3.9708577460013332,2.1073290175162258,2.9162017172537746,3.7651683157645168,-5.3833645516671238,-5.1829670602120457,3.8295599287711086,1.5391832655631006,-5.4914945298470554,3.8172012633048,2.793688661452383,2.0342673128806057,3.9640418356619778,2.4987086123190823,3.6219369238577785,0.99059940039739014,-5.4327911073006687,4.2884904211722317,2.9429088896475735,4.0921779936514797,-5.3985317879952488,-2.0335786277092991,4.3770376509390774,4.0545412367545071,4.1104151076041164,3.2023011511527004,0.38131273448094727,-5.9616588288582859,2.6003462141714992,2.5475879973135891,3.3667727774344387,-5.5798309975899754,3.030913478728384,3.847624904509634,4.0858694380484524,3.9018045729361477,4.1920338934622707,-2.6897437506951389,4.0187827414236965,-4.206093185547739,3.6923328703604641,2.1945270365439358,3.9449616736136379,3.8722015684805813,2.2298027342520657,-4.7807520562447605,-2.6104623013772068,4.3668023413382473,3.7688914602957668,3.2212067908011379,3.7928448981009426,-0.54905425846949218,4.0713917082510891,-5.9773162537850437,-5.0173948937691746,3.3210197752676907,3.708708888884634,4.2753692930899563,-5.7239893609322605,1.6613651579581201,4.114228851195425,-1.8538612061776221,3.6917172735892239,4.8378187483511867,-4.9453610116280613,-0.83209495336189865,3.3578559225760403,-5.2147434884347019,-5.35839688122645,4.3068496054373684,4.8751646345816555,4.1845375364981594,4.1118885344229641,4.1085463827811184,4.2631312674246731,-5.3330701524056492,4.57820618807897,2.0549773043356838,3.2613741224966946,-5.9224170380868015,3.6750012701712551,-5.5498193436898289,2.2872663801871242,3.8686019247733059,3.7571336096487942,0.098260707255452884,3.8851114577017727,-5.919978969696909,-5.3041442567147312,4.1570006674490871,3.8757530516348782,3.4961906737051907,-6.1821497613228855,2.6465786761008205,-5.32397305310145,-2.8081093961037693,1.0950797861777246,2.9624165362082424,-5.6242302590645847,-5.2006577187813816,4.4909569090567532,-5.503446930054575,-5.8125513726510105,-4.4374476605691013,4.3201953238211575,2.3921674555502834,4.0995417898856106,-5.3745692902840672,-6.37182461560145,3.8413716620169582,2.2736622160635891,-5.2250226670540867,3.4526020353995266,-5.3119543725289402,2.6745559042654934,3.217281944151968,-6.477021091584116,-5.1964877778328953,3.3088890379630032,-6.1476582223214207,-5.6930960351265965,3.70802796542272,3.3083731001578274,-5.8063710862435398,4.3496514624319973,3.6548677748404446,3.8021856611929836,-5.7689450913704929,2.4691897696219387,-5.2924097710885105,-5.8526018792428074,-5.672373645905405,-5.6623295480050144,4.1558662718497219,-4.8945668870247898,3.2827888792715969,-5.5241459542550144,4.3123055762015285,3.2845560377798977,-1.624504380825907,-5.9470547372139988,3.8091121977530422,-5.6904171639718113,3.6057592695914211,-4.3515030080117283,-5.7528332406319675,3.2486630743704739,4.1241923636160793,2.8195403879843655,4.6197644537650051,3.9772955244742336,3.7943307226859035,2.5913709467612209,3.9710031813345852,3.8011189764700832,3.296350604888052,4.3865267103873196,3.8908783262930813,3.3374468153677883,-4.4706221753396092,3.2570606535635891,3.8364697760306301,4.2860552138052883,2.4976972407065334,-6.2177075082100925,4.953642970915884,3.0680788820944729,-5.4631804162301121,-1.3357294732369482,4.1042176550589504,4.063956863280386,3.5586420363150539,4.2045790022574367,-5.9334925347603855,-5.5754865342415867,-2.4768989020623264,-5.7706888848580418,-1.037919633988291,4.0581241911612453,2.435252553816885,2.3759418791495266,2.7511712378226223,3.2716742819510403,-6.1108916932381687,2.4087811773978176,4.309628135558218,4.9434748953543606,4.0921040838919582,-5.7354863816536961,4.7850753134451809,1.5081285303793848,3.1360293692313137,-0.72175849691405891,3.5372740095816555,2.3448590105734768,3.9707208937369289,2.9682651823721828,0.64330697714909912,3.1923199957571926,3.8910366362296047,3.86671937167272,-3.0602270299233494,-5.4041060143746433,-5.8222106629647312,-5.4442418748177586,-1.4495434695519507,-5.7719706231392918,4.0788031882010403,2.8299533194266262,3.8279835051260891,2.2619544333182278,-4.2111350232399998,-6.4100536042489109,4.3074675863943996,4.2125812834464016,3.278535491820425,4.8723198240958157,3.7191401785574856,0.23066902815923096,4.1810804671011867,2.9881712263785305,2.3492690390311184,-5.6914991074837742,4.1613327330313625,2.7096418207846584,1.9107128447256982,4.1415544813834133,3.9326931303702297,-6.0249489480294285,-5.4014824563302097,4.0656186407767239,3.9642750090323391,0.70927036463841797,4.6895667380057278,4.2933746641837063,-5.2602528268136082,4.1233750647269192,2.7530199354849758,-5.8193434411324558,-6.1109894448556004,-1.0728792184628546,-5.458196514252573,3.6278320616446438,-5.9495462113656101,3.2712379759512844,2.9602612322531643,2.2454253500662746,-5.9845112496651707,-3.1521202260293064,3.6474958723746242,-6.0393150979317722,-5.7518080407418308,-5.7148393327035008,-2.0283108884133396,3.2670952147208157,-5.9730290108956394,-6.0209578210152683,2.3493365114890041,-5.3508690530098972,2.1166299647055569,-5.8466519051827488,-5.1293190652169285,4.5781961744986477,-5.8394626313485203,-6.0309356385506687,4.4323755568228664,-5.3975976640023289,3.7564607924185696,-5.6858676606453953,-5.7005304032601414,2.5634144610129299,4.5063401526175442,4.1718541449271145,4.540925628539175,-4.5778638058938084,-4.364221208695322,3.5970946615897121,2.1566151446066799,-6.0058206254281101,3.7745324438773098,3.1083837813101711,1.3716536825858057,-5.9610012704171238,3.0642060106955471,-5.7542136842049656,3.4612490004263821,3.6092368429861965,-5.5800021821297703,3.1013876265250149,-6.3277510339058933,2.3361758059225979,2.6442028349600735,3.6401864355765285,-5.8642514878548679,-6.03074156582728,4.1436320608817043,-5.7518442803658543,3.8260375326834621,1.272380716200918,-5.3374651604928074,-5.1970995599068699,3.797756797667593,3.2268775767050686,-5.1002482110299168,1.0198576515875757,0.31130755602940918,0.48062289416417481,4.2756167715750637,-5.9069336587227879,3.9822994536124172,2.7996984785757961,3.729941970702261,4.0360781019888821,4.5250836676321926,-5.6807621651925144,-5.7964295083321629,-6.2621782952584324,4.3417240446768703,3.8146392172537746,-2.3665174180306492,2.9567765063010158,3.9070087736807766,-5.3787101441659031,4.0860859221182766,-5.9691227608956394,3.6438437765799465,3.4250918692313137,-4.2681220704354343,3.875729209776968,-5.8648399049080906,-5.5565107995308933,3.5692497557364407,3.9789401358328762,-5.6811984711922703,4.2586289709769192,1.7590841120444238,3.5297552412711086,2.3529039686881008,-6.1315530473031101,3.7280699080191555,-5.3548949891366062,3.2782713240347805,-6.2212966614998875,3.5055633848868313,-5.4770072633065281,-0.9730303221978247,3.6990600889883938,3.7497507399283352,-5.3982642823494968,-5.8888567620553074,3.8859354323111477,3.5195432966910305,-3.8963805371560154,1.8053032225333154,1.4098991221152246,3.5934301680289211,2.5643507307730617,2.7622026270590725,3.8044158285818996,-5.9591859513558445,4.1719976729117336,3.64369691073522,-5.4930647546090183,-5.7994507485665379,-5.3392757111825047,3.3259717291556301,-5.4468868905343113,-6.3571780854500828,3.2842856711111965,2.3560041254721584,-5.2326768571175633,3.7973028486929836,3.8533784216605129,-6.110382907990366,-5.2379931145943699,4.0392576521597805,-5.8231190377511082,1.1200755900107324,4.1074754065237942,2.8175944155417385,4.5524135893546047,-5.6430138284005222,-0.59149248242750763,-3.3063419991768894,-0.87759719878807663,-0.5074914628304541,4.0615278547964992,4.4845186537466946,-6.1248058015145359,2.3313630884848537,-6.0432237321175633,4.2014442747794094,3.8849631613455715,-3.2771187955178318,4.2126609152518215,3.7082096403799953,4.0735517805777492,4.3654242819510403,1.9640537565909326,2.6016289061270657,3.8542548483572903,3.0065325564108791,4.0419470137320461,4.1198397940360012,-6.0586279565133152,-5.1990746194161472,4.7570358580313625,3.9814606970511379,-0.085499518517404782,2.8601588076315823,2.3237930601798,3.5537105864249172,4.019373065825552,3.6876221960745754,-5.7977875405587254,-5.6799820596016941,4.0421482390128078,-5.2353085213936863,4.1839581793509426,3.8697253531180325,-5.2171081239022312,3.1247845953665676,-5.2775639230050144,4.3466187781058254,4.229857570525259,-5.8318871194161472,-4.0895787411965427,3.4561802214346828,-0.86872646302357315,-5.2169026070870457,-5.7484263116158543,2.4695133036337795,-5.0677164727486668,-5.508423679474741,-5.7000273400582371,-2.384531849030405,1.4761222666464746,3.864562160369009,-3.9497762852944431,4.8315531080923977,3.0862537687979641,-5.9344409638680515,-3.4777868920601902,0.21113300978764893,4.840610629912466,4.8818041151724758,-6.0327304536141453,4.0719081228934231,2.6357158487997951,4.2293235129080715,3.840809947844595,3.3152538603506985,3.6268993681631985,3.0060921972952785,4.0086442297659817,-5.1835802727974949,2.4848958319388332,-6.2344092065133152,-5.5369199448861179,-6.3334220582284031,-6.2132896119393406,-5.066432827118784,-1.4480543667115271,3.3920031851492825,4.4146901434622707,-5.7791112595833836,3.1617196863852444,-3.8526743584908543,-5.9049895936287937,3.5681854551993313,3.6677147215567532,-5.6211966210640965,3.6967369383536282,4.1724149054251614,3.472437030669302,-4.7719811135567722,3.929534084197134,2.6585174864493313,2.4152344530783596,-5.0892194443978367,3.7046052283011379,3.3906790083609524,4.7917453116141262,2.8252738779745998,4.0964404410086575,3.8458415335379543,-6.1054814988411961,1.3883909052573145,2.5578230684958401,4.1579734152518215,3.1511603659354153,-5.3443311387337742,-3.804554575089365,3.9519139593802395,-5.7158354455269871,3.0774141615591946,3.7683998411856594,-5.7632640534676609,3.9628754919730129,-5.5107792550362644,3.9301687544547024,4.6595903700552883,4.1110025709830227,-5.9925340348519383,-4.9079335862435398,-6.0116313630379734,4.0381800001822414,-5.4791096383370457,4.6404048269949856,-5.9147142106331883,3.2200423544608059,4.5811253851614895,2.5719155138693752,-5.3072446519173679,3.4785252875052395,4.7884126967154446,4.8735128706656399,0.93153310477361084,-5.5963596040047703,1.4240881270132959,4.1605702704153957,4.401481277342886,4.4116336172781887,2.2761439150534573,-5.4898661309517918,-5.9866064721383152,0.052783197756856692,4.2244850462637844,3.0144556826315823,-5.5977681809701023,-6.0059684449471531,-5.1179498368538914,-5.9642866784371433,4.755299693938345,-5.2662986451424656,-5.939667575959116,2.5774887865744533,3.598171836730093,3.0617722338400783,-5.761318081025034,3.9120718306265774,2.3118149107657375,-0.94558409691229461,4.7828432387076321,-5.7654126817025242,0.027312404509633792,4.2756439512930813,1.9600929087363184,-1.161150538329035,2.0367411440573635,-5.0087841683663425,3.975620395537466,3.1880821055136623,2.7272015875540676,4.3192216223441067,3.8340650862418117,2.8559435671530666,3.5511461561881008,-1.1332349711693823,-5.4355901414193211,-3.4096795254983006,2.4791776007376614,4.6648203200064602,4.1341716116629543,2.2596844500266018,-2.2627447778023777,-5.6280082398690281,3.6935759848318996,0.045447177287191165,-4.5587662392891941,4.2700878447256985,3.568332797881216,0.053109652396291507,-5.3360952073372898,2.4490696257315578,4.8878732985220852,-5.5685132676400242,-6.0200279885567722,2.4781998461447658,-5.3996018105782566,3.8232137030325832,2.8570469683371487,3.0393348997794094,-5.3638433152474461,-4.6927961045540867,-5.9462650948800144,-6.0231627160347996,-5.7078756028451023,4.3533126181326809,3.3287721937857571,-5.3460568124093113,4.0853062933646145,3.2402073210440578,-6.1529258424080906,3.6316906279288235,3.9792114561758938,-5.3954003983773289,-5.3247002297677097,4.1878510779105129,3.7272607153616848,-1.2834967309273779,-4.200078838471323,4.2237268751822414,3.784641391631216,3.8982225722037258,-3.4720481568612156,3.3765975302420559,-5.1755126649178562,4.7304683989249172,4.2413960760794582,-5.0755652123726902,-5.8730138474740086,0.63916409670934082,-5.2855743104256687,-5.9280646973885593,-5.8428872758187351,3.1702209776602688,-1.5372922354973853,3.2740551298819485,3.9582825964652004,-5.8968070679940281,-5.4941357308663425,3.8447271650992336,-5.9965819054879246,3.6187459295950832,-5.6920345956124363,4.2110291784964504,-1.2227924102582037,-4.1958619290627537,3.6590329474173489,4.1788326567374172,3.7835108107291164,4.2851477926932278,-4.472365968827158,2.32739413439855,3.7456418341360989,-5.5271786385811863,-1.2761777573861182,2.6533113783560696,4.0993858641348782,3.3688551253043117,3.51955140292272,0.9623799389563501,-6.0224155122078953,-4.9960721665658054,-4.1175070935524998,3.8025161093436184,4.1205469435416164,-5.2678822213448582,-5.5907281571663914,-5.6040223771370945,3.7243415182791653,3.85278475939855,-5.5447462731637058,-5.2768815690316258,-1.0130716794766486,3.7916637724600735,-1.6983771258629858,2.3243960207663479,-5.9584807091988621,-5.6282089883126316,-0.42723717630282043,-5.5163015061654148,3.1376510924063625,-5.6191514664925633,-5.7415689164437351,4.206941253539175,-5.2534431153573093,3.9675642317496242,-6.0725492173470554,1.9586480921469629,4.1869531935416164,-6.2223313981331883,3.8577367132864895,3.9003025358878078,-5.4860662156380711,-5.8056019479073582,3.5305005377493801,-6.1973417931832371,-5.3344272309578953,-5.4571069413460789,3.975402004119009,3.6755405729971828,3.9099475210867825,4.2384554213248196,0.26568508803471924,-5.1797989541329441,3.2572733229361477,4.3663502997122707,-5.3959749871529636,-5.925296180848032,-5.6979926759041843,2.9078658884726467,3.1994730299673977,-5.936590068940073,4.2089210814200344,-6.0896280938424168,3.9946595495902004,0.054381198283284915,3.6767584150992336,3.7615333861075344,4.8140150374136867,-6.4130009347237644,-5.9415091210640965,2.0899595087729397,-5.3260720902718601,3.7020202940665188,-1.6567391091622412,-5.5412248307503758,-5.6700743371285496,-5.2964433366097508,-5.8124340707100925,-5.5755661660470066,2.9057635134421291,3.9530860251151028,1.3539816206656397,4.2713748282156887,3.7435547178946438,-5.8213099175728855,2.9427110022269192,4.6808501547537746,3.6478635138235989,4.4028011625967922,4.4463373488150539,-6.1728409463204441,-5.7990935975350437,-5.689214580658823,-5.6546972924508152,1.1747036045752466,-5.5775760346688328,-5.4664224320687351,4.2264033621512356,-5.6370757752694187,4.0269590681754055,-5.3465093308724461,3.6384803122244778,3.0052238768301907,-5.3552411729134617,-6.0912598305977879,3.7730208700858059,3.4275070494376125,3.6208459204398098,-5.9925941163338718,-5.4850720101632175,-5.6369341546334324,-4.8173636132515965,3.9032551115714016,-5.7200759583748875,2.9863430327139797,4.0981928175650539,3.4018317526541653,4.6671968764029446,3.8511496847830715,1.6804815596304834,3.8968588179312649,3.834314472075552,3.5979048079214992,4.4432860678397121,4.7364717787466946,-5.3801878625191746,2.2328699892722073,-5.7004131013192234,2.710779315825552,3.4951072996817532,3.1732744044028225,-5.6688474351204929,4.6734758681021633,3.1907359427176418,-2.8448234730996189,3.9047581022940578,4.7213956183157864,3.4439202612601223,3.2129169768057766,-5.8644889527596531,3.3282324141226711,3.5844150847159328,4.6877924269400539,-5.7232388192452488,-5.2029036217965183,-5.2021268540658054,-5.2785514527596531,3.6263157194815578,2.479031211730093,3.5073601072989407,-5.2538922959603367,-3.0699297124184666,-6.25950133145228,-0.72990534544363617,3.7311569517813625,-5.8988321954049168,-5.7185310059823093,-5.4856384927071629,-5.2154592210091648,1.5948706930838525,-5.2093313866890965,-5.3409093552865086,-6.0478628808297215,3.8831917113028469,-6.3964275056160984,3.9812675780020657,4.1653372114859524,2.3977209395132961,2.9845653837881985,4.4032703703604641,3.4935313528738918,2.7370964354239407,3.7417784994803371,-5.8190969163216648,4.1854006117545071,3.6822696989737453,-4.2920180493630467,-5.8522084885872898,3.5731941527090969,1.7521566218100488,-5.8279870682992039,2.7569011515341701,4.248017913695425,4.098847991820425,-5.4763725930489597,4.1806789702139797,4.0674892729483547,4.1557580298148098,2.5360230272971096,-5.1990946465767918,3.1759957140646877,3.3869148558340969,4.0969482725821438,3.3270999258719387,-6.1945279771126804,-5.7646449738778172,-5.7636789017952976,-5.1860245400704441,4.5106087988577785,4.19380677401647,1.4348169630728662,3.0483075445853176,1.3041571444235742,3.0737329786978664,-5.1791127854622898,1.1023757523261011,4.0267154043875637,-6.0973647767342625,3.6752859419547024,3.9452782934866848,1.7036799257956445,-5.7025231057442722,2.6535900896750393,0.59107614218816162,2.3053306406699123,3.3949061697684231,-4.742568605545908,-5.3095802003182468,4.11096347033605,3.2922116583548489,-5.3414553338326511,-5.8058999711312351,3.946593410369009,-5.8377684289254246,2.3679226702414455,2.9427760904990139,1.3651951616965234,-2.5972028905190525,4.2035375899039211,3.466514236327261,-5.7322076493538914,-2.0195505553521214,-5.7662848168648777,-5.9279640847481785,4.3577228850089016,4.2267390555106106,-5.7661789590157566,3.7150350874625149,-5.8282102280892429,4.1812874144278469,-3.0853332215584812,-5.0930021935738621,-4.6041163140572605,-5.9298237496651707,4.4462629622183742,-1.1161883407868445,2.9753459757529201,-1.4426591330803931,-5.3608812028206883,3.1076239412985744,-5.6868876153267918,-5.4807642632760105,-0.39783977806940674,3.6715747183524075,-6.0093773537911472,2.7764593428336086,-5.3116773301400242,4.1185156172476711,2.7369030779562893,-5.5967267686165867,4.0319467848502102,4.0021592444144192,4.0022865599356594,-5.8418825799264011,1.6526974505148828,1.1953849858008325,2.820102817412466,4.2609082525931301,4.1749731367789211,4.3862692183218899,4.3566633528433742,-2.4362351828850803,3.3300324743948879,4.012112266417593,-5.6537359887398777,-2.8257852727212009,3.0882600611411037,0.37636244952306153,-0.12059801161661743,-4.0914295846261082,-4.4639335805214939,-5.920357101563364,-5.0288318330086765,-5.9399326974190769,-6.493007534150034,3.1518148249350491,4.3253170317374172,3.7653600043021145,3.1259836024008694,-2.6130442553795872,3.4876762694083157,-5.858338230255991,-5.0883473092354832,3.8392578428946438,-3.0593122178353367,-6.0411423379220066,-5.8218725854195652,0.73053050696477295,3.9582296675406399,-3.4760218793191013,1.3216131991110742,3.2579966849051418,3.1491898363791408,-6.5008796387948093,3.4683419531546535,3.6988960570059719,4.2128936117850246,4.2010084456168117,3.8220959967337551,-5.3025659257210789,-4.2893997365273533,-6.0911062890328465,2.067372447844595,-5.4109014207161961,4.6016327208243313,4.5009285277090969,-4.0317429238595066,-5.2523106271065769,4.2790666884146633,-5.1373242074288425,3.7997213667593899,4.8305007284842434,3.3830891913138332,3.4761420553885403,0.63557816207036377,-5.7402013474740086,3.9067779844962063,4.2600380247794094,-5.9681919747628269,3.1113175219260158,3.7827926939688625,2.5168422526083889,-4.990298622254282,3.9831935232840481,4.1178962057791653,-5.845271938446909,-5.4591568642891941,-6.054481857422739,2.3576153582297268,3.7698017424307766,3.6942468947134914,3.8944641417227688,4.6226311987601223,2.5652514761649075,-5.1815284425057468,-5.5244868928231297,4.1578036612235012,4.2988306349478664,-5.4960130387581883,-5.8595412904061375,3.6086574858389797,4.1299988096915188,-2.9065550500191746,-6.0575002366341648,-5.3156188660897312,4.0152269667349758]],\"y\":[[-2.4239424188975245,4.5609880963917817,-1.3609242161158472,-1.4919820149783045,-1.060248257720843,-0.0031989534739405023,5.2746326009389009,-1.9571644981745631,-2.0396699627283961,0.50371637741290032,2.8119253198262304,5.4130541364308442,5.4319583455678071,-4.1813345869425689,0.82002225319109856,-3.361192556226626,-3.4751935919169337,6.2332655469533051,-1.9023222645167261,-1.1458798964861781,0.070623842870816578,-2.1729515512827784,-1.3012585361842066,-2.3668752630595118,4.1861511746998872,6.1666990796681489,-0.07431981166638435,-5.0962627848032866,-2.4883317669276148,-2.0352490862254053,0.68722930351458489,5.3556334058400239,0.84017362991534172,0.15182634988985955,-2.3230533321741968,-1.8098151405695826,6.3171145002003755,-1.5227970202807337,-1.9278317411784083,-2.0975117405299097,-1.8467319925669581,-0.24890917738713325,5.2868897000905122,2.8192738572712988,-2.0351397713068873,0.27459999719820916,0.21939983764849602,4.8468886891957368,-1.251596780622378,3.2370296994801611,4.0774675885792817,-2.157822104299441,-3.4739092310313135,-1.0692414363268763,-1.9240455349329859,2.4415027181264013,4.9130069295521821,1.6697985211964697,-3.5910936315897852,-1.6339909156206995,-0.10385725101269783,6.13976636329852,-0.1988587697390467,-0.72892709089256824,1.9006220380421728,-1.7581078728083521,-4.1603685339335357,-3.7919968088511378,-2.6646362264994532,6.2563449422474946,-1.8575770576838404,5.4354602376576509,-3.8577817400339991,-0.86170599063672126,-1.6714509447459132,6.1034232656117524,-1.7020700295809656,-3.5910142382029444,-0.90599982639588417,-3.278905244672671,0.34204461971484124,-2.493720861280337,-2.9189573248270899,2.5575565377827734,2.1375414411183447,-2.3076520880106837,0.85956921974383294,5.5023647824879731,0.1226136366482824,0.90666511455737053,-4.3640995939616118,0.78360476890765129,-2.229204030836001,-3.5964950044993311,-2.7376447637919337,5.8229342977162446,-1.4376525600794703,-0.0071892460230738031,1.0902816335316747,-3.723750682676211,-1.545060189569369,1.8917509595509618,0.10975864330492913,3.767842916643247,1.0953157226201147,4.7440544644948091,6.2671872655507173,5.0375486890431489,-1.4930325468424708,-1.6865774711016566,1.3132356683369726,-2.5282889326456934,0.2322489897366613,3.053478149568662,-3.6445847471598536,-2.0364881475809962,2.1979185620900243,0.4737764875050634,0.34391608635149895,3.1931356469746679,4.6984931508656587,-2.3206523378733546,-1.3709589560870081,-3.3848780115488917,0.10801014105044304,-1.8686189373377711,-0.27822473844327034,1.7524751702900976,-2.2824387272242457,0.040917066728696216,-1.8718527277354151,3.5393640081044286,-2.5310460050944239,-0.79395885964669288,-3.6142457445506007,1.3428472558613866,2.1670099774952978,-1.0547011216524989,0.053220657503232349,-2.5049843510035426,-0.078191729390993725,0.58263471523486077,-0.33809483250416816,-3.0026050527933985,2.1802228967305273,4.2852317372914399,0.075537113344296802,-0.45325485070981086,-2.1088388880137354,5.6170193235035981,-0.0042112191561609613,3.6995402852650732,1.3101433793660253,3.7294951955433935,3.2245275060292333,-2.5156374891642481,0.19655898014269768,2.7750836888905615,3.9751702825184911,-1.3423747738245875,-0.79763170530833305,-3.783922048414126,5.7760783712025727,0.4742647687550634,-3.9147642572764307,-1.4897038062456995,0.72149756351672112,-4.6768530329111968,3.9998981038685888,2.9275032559987157,3.9596087018605322,-1.4805615266207606,-2.3055076321009547,5.709130434190854,-0.66058179190196098,-0.68876549241878093,-2.0615666826609522,-1.4961245973948389,5.8569709340687837,-5.3729494531992827,-4.7047046144846831,-4.5010617693308745,-3.0754037817362696,-2.2853716333750635,-2.3944978435877711,5.0284039060231294,-0.52450566192902626,5.862429765855893,-3.6829043348673731,5.7198440114613618,5.8193899671193208,5.4614092389699067,-1.839825483167544,-0.37305695017613472,-2.2612950523737818,-1.7410278042200953,-0.47179021140374244,-2.8548248728159815,0.93267014423571526,-0.28739908536709846,6.1978861371632661,-2.2965886314753443,6.0330149213429536,-1.8899432142619044,-1.9679584225062281,-4.8555706461314116,3.2717842141743749,6.2791606465931977,-2.1638055761698634,-1.2251872738245875,-1.6241277178172022,4.5317422429677094,-2.5921070297602564,-1.6452137549761683,-2.5512525757197291,5.8063866178151216,-2.8423815687540919,-4.3189624269846831,5.2906090299244966,-1.2093105038050562,-2.2468459328059107,3.2060834447499365,-0.22580784758366645,-5.0903199633006011,-4.9740699251536284,-1.5329989512804896,0.3640733043309301,-1.9681979139689356,6.0053149739857759,-4.7634843309763824,-2.3324273546580225,4.7507134954091157,-2.1058399399165064,-3.3286565264109522,-2.1642199476603419,6.1403819600697602,-3.1477533300761134,-2.4249170740488917,0.032660750543698658,-1.5147729237917811,-1.7047620733622462,-1.7407974918726832,5.9290868322011079,0.73337867656908928,2.081605819856748,-2.7303775270823389,-3.3545483072642237,3.7827760259266943,-2.4628283699396998,-0.18605199655331672,5.7512680570241059,-0.62760734757222236,-2.2259094437006861,0.66038360992632805,-1.7920636852625758,-1.9738279302958399,-1.9679617603663355,-0.75979690825380386,4.4477821866627778,3.7065235654469579,-0.47790557345189155,0.37111750045977532,-1.2477879842165858,5.3866788426991548,4.6404534856434907,-2.0194360931757838,0.24557277361117302,-2.1719521005991846,-2.534595580900088,6.0664698163624848,-0.97541529139317573,-2.9255004843119532,1.4162239114399999,1.2918585816975683,-1.7989293058756739,1.5153717080708593,-2.089099975431338,-5.2532542665842925,-0.6945296322349459,-0.55396698614396156,-2.0415210445765406,1.6229487935658544,-0.38922444185055793,-1.5070934613589198,2.724437622224912,3.1053611318226904,0.36135938564501702,5.0215751210805024,1.0733109990712255,-1.1420734246615321,4.5590206662770356,5.6490041295643891,0.79236331382952629,5.1439806501027192,0.90493681827746331,3.5825807134266943,-3.3516133745554835,0.96703484455309807,0.013699082529172291,0.43656936088763176,0.18593749204836785,-2.287687393033877,-1.1840383132342249,-1.854727359617129,-1.2767833789233118,0.62264111438952385,-2.3413816412333399,-1.5632042010668665,5.9288293401356782,-2.3667430599574,-2.6569406708125025,-4.9233997782114898,-2.4469978531245142,-3.4312649687174708,6.3557030240651216,6.2044831792470063,6.2774120847340669,-4.958230348432437,0.73083033958636223,-4.9192923029307281,-2.1936223228815943,-1.0237523933295161,-1.9902027567271143,1.2441510240193456,-2.3397497852686793,-2.555000158155337,-0.081854196393862377,-3.352185102308169,-1.7697127779368311,5.1079546491261567,-1.8375985344294459,-3.7284103353861719,-2.6187299211863428,-2.6839514692667872,-2.3111585100535303,-1.5935382564906031,-1.7216208895090968,3.1498731652852148,-2.1834809502009302,-0.81959226926602424,0.29429247776232659,-4.2564638574961577,-4.0790687521342193,-2.2445436437968165,0.86365702549181878,6.2456165830250825,3.1487597505208105,5.6828376332875337,-0.31161385973729194,-3.3768814524058253,-2.1371415575388819,-2.4847284277323634,-0.63256122370995582,4.585175184404477,-0.86869067152775825,5.7339288274403657,-4.7821448763255034,-1.6008018573168665,-1.3599250038508326,-0.89102895756997169,2.0458225289937109,-3.0228110273722559,3.6446587125416845,6.1587616483326997,6.3113709966298188,-0.93845525583066047,0.27336951891146599,-2.2699178179148585,-0.8309136574510485,-0.5421614368800074,1.9949585477467626,-1.3848834355715662,-1.2548774202708155,-0.303394796455279,-1.8503794391993433,-1.6082303841952235,1.0362267772313207,-0.25962552627362312,-2.2054419239405543,0.15909203687869011,-2.3545452078226954,-3.8162888010386378,-1.7407530268076807,0.15898248354159294,-2.9843977411631495,-4.7334559877756988,0.4603710452672094,6.5101992169972505,-0.99471473892964424,5.3173429051991548,0.010975567495450367,1.3160141984578222,6.0811940709706391,4.2911726514454926,5.8067003766652192,6.1516915837880219,-3.8477219065073878,-0.56223127445019783,-0.60679900100268425,0.26178195873461663,0.77471056381426751,0.02344634929858147,-2.0636211355570704,4.3087302724476899,2.5385943929310888,-3.7607172449473292,-2.8300114591959864,1.6987279931660741,6.1059791127797212,-2.367948623502627,-1.3026901801470667,-1.582632096612826,-2.562305541837588,-3.0956462343577296,-0.49307361444272102,-2.3902754505518824,0.096637038385495533,-1.002995671832934,6.155241159593686,-2.3592964132670313,-2.2031477411631495,0.19480547109805046,-1.5894029458407313,-3.7234464605692774,-0.57716794511117042,1.0069606582280248,-5.3106635530833159,-2.7188754995707423,-0.67533974921144546,-1.5247779806498438,-3.3243452032450587,3.8057982007618993,1.7180282155629247,1.8951307813283056,0.38730898300372063,0.4815432111378759,3.4106136838551611,3.9369875470753759,5.7471791783925141,-1.6154571493510157,-2.5282175262812525,5.5046383420582856,-2.2374744137171656,-0.74580705364979805,0.63541057506762444,5.0971418897267426,6.0172392408009614,-1.1334699412230402,3.5790030042286962,-0.63466766675747932,-1.9919628818873316,-1.4715509136561304,4.1195961515065278,6.0665365735646333,-0.15717074474133552,-0.83351120551861824,-0.041548641527071606,-3.4789639433268458,0.08589747348986565,2.8287989179249853,-4.2947400530222808,-1.6391935070399195,0.73227992454729973,-1.9409398754481226,-1.9238525350932032,-3.2999371012095362,-2.4444392641428858,0.584676412736997,-0.47898596724309028,-0.063820513093844067,-0.85163870652951301,1.7567495385762304,5.9222551862355317,-1.4317240436915308,-4.290679307783023,-1.6689185818079859,-1.9907366951350123,3.6644283811207861,-1.208278807008639,-3.2294615229014307,-3.53181395133771,0.16766300598345696,-3.8767207582835108,-1.6996605714205653,-3.1247032602671534,2.3767744580861181,-5.1896551569346343,-2.085426183545962,0.15554716983996331,-3.1717403849009425,2.5828756372090429,-1.5759708603266627,0.50336995521746575,-0.00096622308529914491,-3.531302066648379,2.3629836122151464,-0.51668662031926216,6.5097676793690766,0.10245349804125725,2.4005526582356542,5.1191674749013032,-2.2253373583201319,3.7342983762379736,-4.8967646082285796,-2.1765366514567286,5.1614891568776216,-3.658861013257876,1.1124904433842748,-1.3171585520152003,-2.0713031013850123,-1.6945940574053675,0.51691594520770012,-3.4552353342417628,0.68430438438616692,2.1503387967702001,-0.44561726053990425,-1.3538924773577601,-1.7000657041911036,0.19344046512804924,-0.25588000019825996,4.1527763883229341,-0.056277902925387036,-2.3305705507639796,-2.6961437185648829,-1.2722177823428065,-0.1896642764452845,-0.37577939232625068,6.5140706578847016,-2.6139056404475123,6.2066051046010102,-4.4964416941050445,1.5446392575856298,0.22592374483309685,5.8738400022145356,-2.5415188988093287,-0.46387927433289589,6.3667241613026704,-5.0694449861887847,-2.1448111256007105,0.58100822368822991,-0.52378004988469185,1.5315343419667333,0.30252352157793938,-0.27326551278866829,-3.302570434415713,-0.26172504028119148,5.6343637982960786,-3.9731949289683253,4.9236470739003266,-0.017684849107638012,-5.1671312769297515,-2.1053601225260645,5.7960950414296235,-0.75854998281039299,-0.19752535423077644,5.9886652509327973,-3.0913077314738184,5.5834752599354829,5.8752571622487153,5.6014906446095551,-1.6426285227183253,2.61355319420062,-2.5852859934214503,0.032042411958798755,0.14958980480395256,-5.4139483888987456,-2.1020459850672633,0.086386946832761158,5.8410164395924653,-1.2037187536600977,4.2020098249074067,-2.2779335697535426,1.0987122336979955,-3.459409805143252,-2.2577160318735987,5.1850587407704438,-2.6689614971522242,-3.7811191995982081,6.1284867803212251,2.7336803952809423,0.34952881733141838,-3.34799465736188,6.1840998212452973,-0.59392323544062675,-2.1494937857035548,-0.99437400897778572,-2.485010357702151,-0.55357498129643501,4.2672535459157075,-1.966421695554629,-1.3056107481364161,-2.0817610939387232,-1.8661416490916163,1.1090861837025732,2.5411118547078222,-0.28003990849293769,0.32085719505511223,-1.5454110821131617,-2.0634958465937525,4.3861509839650239,-1.7415537556055933,2.8075331727620214,-1.8260016163233668,0.1392575780507177,-2.8897417505625635,-3.4982336481455714,-1.4735290130022913,-2.5246780832652003,-4.7272222956065093,-5.0906585176829253,5.9258219281788911,3.3085028211232275,-3.1412273367289454,-1.4506988843325526,-1.7402947862986475,4.1155492345448579,-1.8608510216120631,-2.1143266876582056,-0.94771781762875618,0.50713565746508538,0.45906033912859856,-0.46734926303662361,6.0061265508290376,-3.1791225393656641,-1.5013940056208521,-0.26577314933575691,-1.7897350510004908,5.63598218361102,-2.0897912701014429,-4.5101326425913726,-1.6685838421229273,0.97515573898516594,-2.7128883322123438,-0.32605084975995124,-3.5607670267466456,1.3025166074391454,-3.6134074648264796,5.893799451982602,3.2949859181996435,-4.6001072843912993,-3.0487497766856104,-4.0350559671763335,-4.5549701174143706,2.9335071126576513,-2.3022573908213526,-1.7962529381159693,0.5133655349370092,5.6860047856923188,5.159546522295102,-4.9965170343760406,-2.1413491686228663,-0.82106331934966148,6.3522821942921723,-0.51868814429081977,-1.7872458418253809,3.3782621900197118,-1.169714810455218,-2.4311220367792994,1.5110184232350439,-1.2300030310992152,-1.2066546698454768,-1.225744934881106,-3.5523766001109034,-2.6143294294718653,-2.6177423914317042,6.0290595571156587,-0.50202726026810707,5.5554124395009126,-2.0825966318491846,0.82027926841937004,-1.0108128507975489,5.9120933095570649,-0.79877247860468925,5.0785557309743012,-0.31409719785489143,-1.3025124987009913,-4.4558144529704009,-2.3140825947169215,-4.6657434423808013,0.41521671215258538,5.1376625577565278,-3.4929128607157618,0.48376431862078606,0.29471722046099602,3.2478906194325536,-2.2987181862238795,-1.0797995050791651,4.2867161313649262,0.0086186210270970953,-1.9105398376826197,0.51899733940325676,3.5210286656972021,-4.0809699018839751,3.3192664662953466,0.70587757030688225,6.1707736531849946,-1.5136269052866846,4.7605287114735688,1.2189218083973974,0.45066287914477288,-0.091579588258638989,-1.3130245526675135,-2.0013136585596949,4.0836221257802094,1.0017936507817358,-2.5277898033503443,0.11476179758273064,-3.4343720396403223,6.1084958593007173,3.0255440751668066,-4.9682110269907866,-0.095709474885836254,-0.18845281204022468,-1.0779137929324061,-2.2594849785212427,-2.3959475477579981,3.6926156560536474,5.6331044713612641,-2.3972980697993189,-2.1494072397593409,-1.8019695003870875,-2.0892197807673365,-2.9782463034037501,-2.4243255575541407,3.3101173917409032,6.5054933110829438,-2.6928626020792872,-1.9548871239069849,-1.0323364158514887,3.8065759221669286,0.62841287056170403,-3.9875546415690333,-1.8541104515437037,0.92590418258868157,0.30194666782580315,-1.5018984397295863,0.4845412055607885,-0.17712667783536018,6.4476925412770356,-0.47259341379441322,-2.5780229290369898,-3.4406310041788966,-1.6972892006281763,-1.2190810163859278,0.82663360038958489,-2.8337613066080958,-1.8718189915064722,-2.4918985088709742,-0.4765626957062632,3.815107492601499,-3.0737915953043848,-4.5077687223795806,-0.55044420262612404,1.6344713250752538,0.59758129516802727,2.3286994973774999,-1.5176588614825159,1.3997396508809179,4.3693019429799165,-3.5230122526530177,-2.2236046512965113,1.099791912233457,-1.3247968276385218,6.2552506009694184,-4.1716831644419585,-1.3806635459307581,-3.7157302816752344,1.2596484700795263,-0.46185544332303108,1.3177145997639745,-2.3060733993891627,-0.057403357828035961,-2.1491220911387354,-1.5088147242907435,-2.2488428076151759,0.89430573383532463,-1.2219919284228236,-1.7824537475947291,4.7233945409413423,-0.8146330138090998,0.60548105636797844,4.515163091814145,-2.2426744421366602,-0.93062654336728157,-1.4334760030154139,-3.3568438013438135,-0.10162368615902961,-1.2473947127703577,-1.5495269616488367,-3.387439819181338,-2.4978031834010035,-2.4426278789881617,0.23960020939074456,2.0904172937031835,-2.0420862158183009,4.447622923051938,0.33577218452654778,6.0066849271412934,-1.2338218410853297,-0.76057930489815773,1.4095458070393652,-0.41820094188489021,-3.2321222742442042,5.8363801519032563,-3.3232058008555323,-2.5770795067194849,-0.31931096514500679,0.72523787418566643,-0.036010058725252758,-1.6460498293284327,-4.2690785845164214,5.3818947354909028,-1.8912765701655299,2.2370673696156591,-3.2408536394480616,-0.01739844878949226,-1.6100855191592127,1.1436475793477148,-2.5046910961512476,1.2412191907521337,3.1574496308919042,-1.7195602377299219,-4.7333548982981597,6.1509872953053559,-0.61843190541304649,-2.2150703390482813,-5.430299611890689,-2.640328617895022,-2.9598692377451807,-2.3358186205271632,2.9129666368123144,1.7064711133595556,-2.3687793930415064,-3.3262511213663966,4.272367624437436,-2.3304073532465845,-5.2894814928416167,-1.5694117864016444,0.69464531341753899,1.2206509391423315,-0.38724771341122688,-2.281199904287234,0.87080135742388665,-3.0151425321940333,5.7142797986622895,-1.7597033699396998,6.3953572789784516,4.580111650621518,-3.4103980978373438,6.4420615712758149,-4.1383369882944976,-0.40766781767643989,-4.5225485285166656,-4.4413059671763335,6.0136028806325044,-2.5683570822123438,-2.0698828419093043,5.9267965833302583,5.8210684339161958,-1.584379287565127,2.4513479749318212,0.31395700374804436,-2.8859759291056544,-1.6249425133112818,-2.4603950699213892,-1.8524055202845484,-5.2353986223582183,0.18474444547854363,-2.2207362373713404,5.3366757909413423,6.5767537633534516,4.927673963701352,-3.2087076624277979,-1.4646193703059107,-2.422739358747378,5.3576818982716645,-2.099086376035586,-0.80372051348723472,-3.9434927423838526,-2.9411636312846094,1.1226489822026342,-1.3077832778338343,-0.78446293076314033,-0.68009287318028511,4.4954034368153657,-1.7862660606745631,2.6894771138783544,-1.0091382583025843,1.5287803689595312,5.8734637776967134,-1.9619347771052271,5.6830383817311372,-2.5390444715861231,4.1398221532460298,-1.2197047789935023,1.6846672574635595,6.1165787259694184,-1.2854562123659998,-0.56570275327004493,-2.1670902689341456,-2.8032799681071192,-1.1525176187399775,-2.3812174518946558,0.88983025947771965,-4.9088624437693511,-1.5525943954829127,-3.266095014417544,-1.3213318904284388,6.33929028907977,6.3083335439320649,5.3751651326771821,2.3950490037556738,-2.5892675836924464,-4.4900182207468902,-3.7087305506113917,5.0579430142994966,4.3881346265431489,-3.241342874372378,-0.76926513587869705,4.7141295949574555,4.8203302899952973,6.2412511388417329,6.1266581098195161,3.4219328443165868,2.9060088674183935,-1.6100386103037745,2.0702642480488866,-0.63595286955870689,0.001632181799039234,-1.7061382254008204,2.1587850133534521,-5.0214823206309234,-1.8804079016093165,4.8964935819264497,-0.22585761746205391,-0.9315751661900431,1.6518577615376562,-3.7565096338633448,4.5343104879017915,-0.25433305105008186,-0.59171976348198951,6.2357431928273286,-3.9927330931071192,4.1006461660023774,6.3245631734486665,0.31341960827074944,-2.3546580990199,-0.027807446325197827,-1.5766496380213648,-3.1263745745066553,-2.0799854715708643,-0.87494377990998329,-4.1723013838175689,-2.6738413294199854,3.1740800420399755,-0.7417087220940739,4.9637571851368989,-2.4503285606745631,1.6926080266591161,0.85934927860461174,3.4705716649647802,-3.294992776716128,-2.8455587347391993,-3.1253803690318018,3.7592670003529638,-0.76378666808642448,-2.0003306587580592,2.2952796498890966,6.1151291410084809,-1.1817605515364558,-1.4531759341601282,-4.4622977693919097,-0.50720545848645271,4.1018168012257661,3.4780861417409032,-2.2370871027354151,1.986632732545957,-1.8131473978403956,-5.0639975984934722,-2.3007143457774073,-2.705123277509585,0.035058585798367847,0.22291055122576653,3.6925312558766454,2.8941611329670995,-1.845871420705691,0.78922310272417961,-2.3646841963175684,0.97853210369311272,-1.6979959925059229,-5.2773097475413238,1.0312146226521581,-2.0426032265070826,-1.8615666349772364,-1.660240681970492,-5.3637460192088042,4.6611811200734223,-1.0947847386244685,-1.9412618597391993,-3.1654377897623927]],\"z\":[[1.7209126597205178,0.304718563512899,2.9518279677191748,-0.11627197806444017,2.527021372870542,-1.1616564149102195,-0.44043216650094835,-4.4422009343346582,-1.8901479596337303,0.64212461765203632,0.90162458475027241,-0.5616598481377586,-0.31387249176111071,1.6474694853583352,-1.8559828156670555,1.3017032986441628,0.53710638935957111,-1.2055859917839988,3.2410707121649756,3.5603587275305761,2.2997942810812964,-4.4041054600914942,3.0363416319647802,-4.1149027699669825,0.53898705001268543,-1.3542396182259544,-1.0455540770730003,2.2678830271521582,-3.1062190884789453,3.3926832323828711,-1.9399180764397606,-2.1132080907067285,0.8171541338721291,0.90080531890783466,3.2868349200049414,-2.2322132939537989,-1.6255686635216697,3.6978158598700537,-3.3646304959496485,-4.3691227788170801,-0.46031162683572618,-1.7735357636651023,-0.24576518480386583,1.0056945925513283,0.77559181507024921,1.1263341551581398,0.76457359846029438,-2.0971832627495752,0.32114868070278318,-2.1789520138939844,0.59330972488317646,-4.064512526436709,2.7288589125433935,-0.74776128475274883,-3.9802940243920313,-2.265229021950625,-2.1370454186638819,1.3236580735007302,2.5187892561713232,-2.0720038766106592,2.070060694769956,-1.8430841321190818,0.54968904908094562,-1.9872184151848777,-2.2787847871026026,-0.65203252975549542,2.3033556586066259,1.9580397253790871,1.5473641997138039,-1.1801981085976585,2.8522421961585058,-1.9414627904137596,2.2424358969489111,1.4935800677100197,2.6814934855261816,-1.8734398240288719,-1.0633577460488304,1.3253179436484352,-1.3942010754784568,1.4389643317023293,0.87805118616018452,3.1031601076880468,3.1063513403693213,1.1078978424826638,0.92488339002523579,-0.33500662986841051,0.91635533626470722,-0.61538109724130474,1.9235921746054665,-0.84139434043969952,2.2650366669455542,-2.0481994504174219,-3.7735307568749414,0.60138397868070759,-0.051875984116457385,-1.3837494010170921,-0.086225038214586658,0.22023350949678572,-2.3228574151238428,1.8464862948218361,3.7029113417426123,1.2781826501647011,-0.56737945024576031,0.46906028892192991,-2.2135410660943018,-2.0628683919152246,-1.2380369061669334,-0.04046544973459093,0.837201023654081,2.9908573275366797,1.2327821498671547,1.9862050658026711,-0.17170277778711168,-2.2872708195885645,1.6243790036002175,-4.4389136189660059,1.1687112694540993,-1.7915833348473533,-0.93923786823358379,0.89649810846243061,-0.089318996115587634,2.4751481657782568,0.021782869652844983,1.0894958620825783,2.415010178641416,-2.4634974354943262,-1.4219024533471092,-2.0867083424767481,-1.6111193055352195,-0.87906924430932842,3.3997888212958349,0.84418412502203144,-1.2857990616997703,-1.5206691378792747,2.2332950478354467,1.4481854086676613,1.1002716666022316,-1.3295537585457786,2.6543135290900244,2.2881769781867041,-0.75032225792016827,-2.3060582036217676,-0.78535715286340557,2.4039139395514502,-2.3108218068322168,0.51729873772058643,-0.67585364524926983,0.053315753296948987,-1.8620951527794822,-1.9020243043145164,-1.2004583234032615,0.78582485969457783,-1.6618275994500145,0.86647834833059467,-2.3881311768731104,1.5621211176672951,1.9238834028998391,1.0202697759428994,0.47894205357227476,1.3589428907195107,-0.32135615293588488,0.68090977723989643,-0.55646727029886089,1.5054069405356423,0.55365350301656879,-1.5736995095452293,0.95347877796087421,1.1247000342169777,0.71669798548612751,-2.29292706195917,0.71361448820028461,3.739574158743955,1.3499763255873696,-0.61775795166101299,-2.1065354699334131,1.6193426495352761,-3.5662513131340967,3.0720355158606543,-1.9200106019219383,1.8633428459921852,1.5980829840460793,1.7556627636710183,1.7654970532217995,3.3954834585944189,0.94232525880727924,-1.9662084931572898,-1.849751507683657,-1.9525401944359764,1.4878282194891945,-0.63729122821893536,-0.7145071381768211,-0.39546743576135485,-1.3430507535180076,-2.0330062264641748,-4.1679814213952051,1.0494790321150795,1.4979819899359719,3.2407769804755224,-1.3561985844811424,1.0498764162817971,-1.191149269982241,-2.0094900483330713,-1.8639381283959373,-0.47995248977746813,-4.5793383473595606,1.6782898550787941,0.74070682580862202,-1.5883779877861961,-2.3771019334038721,3.1538161879340185,3.7083072310248388,-2.0808737630089746,2.0160249119559301,3.8996264582434668,0.14952222462091597,-2.0323360318383203,1.6737135296622292,2.1459217911520971,-0.31565431301202623,-0.026652877970598621,-4.1024010533532129,-2.1747932786187159,-0.94935015384759747,1.6422769671240822,1.5686887150565163,-1.7098124379357322,1.1636628156462685,-0.7162318581780418,-1.7282541150292381,2.2822488194266333,-3.2276380414208399,-0.078878974362276477,0.74750124867353596,1.5832513218680397,-4.0884254330834375,-1.0145118588646873,1.189559364871122,0.3903947194973007,-0.94834426586236797,3.1389162188330664,3.1442126875678076,0.47066290880832823,-1.2757071608742698,1.0581040626326577,1.1477326398650185,0.32490608300361784,1.9128696566382424,0.5173266773978249,3.0760864859381689,-1.1544330472191795,-1.9826200360497459,-0.64909449760522686,-0.23120782320108263,-1.76178578083124,-1.7653222436150535,-3.3801544064721094,-4.5782168263634668,1.0214734321394936,-2.2039041871270166,0.72845580633077778,0.88445487077627338,-0.29914370719995348,-1.0816707963189109,-1.9775553101738914,0.39048799331579359,3.4803926592627539,-0.32863870803918688,-4.1809685582360254,-0.092906569882296008,-0.93725935165490948,0.74785491283331074,0.18445610459242018,1.2826760655203835,-1.2093589657982811,3.7233423834601416,1.2038882618704811,-0.49340949003305284,1.7500769739905373,0.059543306187726575,-1.8433957452019676,-4.282156741066836,0.72548347170744099,0.66199704463873066,1.3617116456786171,-2.2377672547539698,-2.2304728383263575,1.6928121691504494,-0.30780450050439684,-1.2986466044625267,3.625844443396665,0.34684939514193686,-0.9748978966912254,-0.88790789787378155,-0.12677953188028185,-2.02537015621271,0.84438320453558124,-0.21080580894555895,-1.6897497529229148,2.1563965922156347,-1.2289797419747337,2.7292678004065527,-3.7606008404931055,-1.0677769536217674,3.5967497473517431,3.3604943400183691,1.1257096772948281,1.3127427345076577,-0.76174894516076885,-1.2205983752449974,1.3196410780707375,-0.30704352800454943,1.7848413830557839,-2.7273321503838526,1.1913472061911599,-1.5190250033577903,-1.6133187169274315,-1.6711378449639305,1.64319309051428,-1.9469058865746482,2.2391173487463965,-3.567005431099795,-0.79229167644586407,0.58494160528574146,1.1052656417647377,1.0154487734595314,1.4312659149924294,-1.6040673608025535,1.2016483789244667,0.15209474618826063,-1.9866021031579002,-3.9850170964440332,0.46787341143283995,0.12375443632993849,3.3176071291724218,3.3351301794806494,-0.17860732023324816,-0.40273997728433458,-2.2626276368340479,0.15176876838598402,-1.4128768796166404,-1.7225137109002098,1.9167555218497292,0.71580704505834736,0.77422132547292866,0.83087646420393146,-1.174794232293032,0.9538275843420998,-0.67436913196649395,-1.3853454941948875,0.055805141285993176,2.6971456652441992,-1.7222819680413231,-2.036694561882876,0.22020485456380995,-1.0017899626931175,-2.0363965386589991,1.9681576138297097,-0.60229984466638409,2.8106479292670263,0.7931694930354134,1.2149381881514565,-0.59038505498971783,-2.3249888772210108,-1.0659122819146141,-1.3062185401162132,0.43357135187182577,2.4989740496436132,-3.7645094746788965,-0.038051163597963733,0.098663741902448254,1.1280154829779641,3.7040762549201025,-1.1353292817315086,-2.2370138520440088,-0.73369005863275372,-2.0130548829277979,-2.1559827679833399,-0.45105413143243639,-1.5762316340645774,2.6990682726660742,1.4027789479056374,1.7726575976172463,0.37313892850000413,-0.86793092434015118,1.7184003239432351,1.8767610436240212,-1.1653086299141868,-1.5945712680062278,-0.19997534696664659,-0.27938840334024279,0.9043699746886269,-1.3924358243187889,-1.7441013211449607,-2.164802586480044,-1.8035307282647117,-1.8367646092614158,1.1526832824507729,0.50072960014734424,-2.2032118195733057,2.7361378317633642,-1.7908523434838279,0.80211066658888019,0.25911098177824171,-2.3312256688317285,0.96546807344350971,1.5409364348212258,3.214291298941709,1.1345819478789345,-0.99145928566064678,-3.8196928853234278,3.6591691618720068,-2.5635261887749659,3.3964278345862402,0.8544526642123238,-2.1815410012444483,2.2979336624899878,1.2083266025343911,2.6538922434607519,-1.666209256096743,-3.8914845341881739,-3.7873032445153223,1.6922328120032326,3.0861770754614843,0.4213397895852104,-0.360995268269442,-1.2482587451180442,1.9154033308783547,2.0755170231619848,-0.26055273954477159,0.32712042163405569,1.4042644148627297,0.71589305456075825,-1.821381842537783,1.0160376673499123,0.78435095603857197,-1.052843605919741,-2.2612905854424463,0.6890948658743874,-1.8348224515160545,2.9087946062842382,1.6430362110892311,-0.4968474263390526,2.6027874594489111,-1.3492400998314842,-1.486954843445681,-2.07944730465021,-1.1020439023217186,-0.54610196296777569,-2.2726106995781885,1.2273513322630898,-3.0372295731743799,3.5530161505499853,-2.1356568688591944,-1.7008445615014061,1.016341054991819,1.5856625681677834,-0.14174357597436754,0.88299956376943745,2.455823863104917,0.98261817748937763,0.75345029886160053,-1.5385767573555931,1.5969053154746071,-2.8063612336358057,3.5408041125098242,0.98550584371481098,-3.5016446465691553,-0.75427452270593487,-1.2737386578759178,-1.6466327065667137,-1.8502304906090721,-2.3419442528923975,-2.0458758229454981,-1.2706771249016746,1.9913510924139992,3.4627344256201757,-2.2016206139763819,-2.2152846211632715,3.0283591395178808,-0.47989234869088976,0.068220908001996594,-0.77350369636621319,0.50619247014913715,0.83226543124113239,-0.759559070511721,-2.1788525933464991,1.9045886641303078,-3.9743526334008203,2.6428641920844091,0.82426616008672871,1.0060130005637185,-0.90193072502221905,0.99577304180059589,2.2701818590918554,2.87701340969,1.1097865944663063,1.0397622233191506,-1.4801934117516502,2.5116467123785986,1.0542903190413491,-0.10410792176332323,-0.52546677534189068,-2.2278192395409571,1.8003981953421608,3.2558207159796728,-0.13142303173150865,1.5368673449316994,-1.7740826958855613,3.0596899634161963,3.1895594244757666,-0.17401996795739977,0.91778298671636738,1.6361664181509987,-0.73427704517450176,-2.2525081986626612,-2.2196486348351465,0.69169294293317951,-0.46725687925424425,1.1021707301894204,0.53705961461458362,0.62042188103590168,0.86326968129072346,-4.1374972218712793,-0.08763489667978136,-0.55257776920404278,0.70897960122022785,1.4694782143393532,-1.6909764165123924,1.7370013838568703,-1.2234360331734642,1.392500722960569,1.1404010897437111,0.70430269296560444,-0.77642956916894756,0.55308466608915485,-0.35568419639673082,-1.5766607875069603,1.8585914021292702,-3.3035679215630518,-2.3364601487359034,0.90753599460516132,-2.2550762051781641,-1.1180763596734031,0.65383696015272297,1.2952232008734719,-1.9782958382805809,-0.59248397295083843,2.2972430830756201,0.038324529484845715,0.091932917193509656,2.0057422762671484,-4.1635878438195215,-1.8778262490471824,1.3438335901061074,0.043047363118268567,-1.7005379552086815,1.8161207085410134,-0.69823590461816631,-1.9868114346703514,-0.68850151245202862,2.8571991568366064,0.96169736440572895,-2.2192685956200586,2.4049763327399267,0.58710421080980457,1.6121569519797341,-3.7493899220665918,1.4361596947470681,-2.0254648083886133,-1.0320638770302757,-2.194324767037295,-3.3233628625115381,1.1207342391768471,0.93353792484197773,-4.3238962048729883,-2.0157058591088282,1.3689778691092507,2.3818230276862158,-1.6327367181023582,-2.2361541146477686,1.2783063894072548,-0.34779039566125719,-1.6785416955193504,-1.3047206753930076,-4.0978777760704981,1.7616051083365456,1.1861673241415993,0.96773936803732075,0.19234318490419539,-0.61603239719476544,3.5063635950842871,-4.0356600636681543,-2.7837984914025293,-2.2865541333397852,-2.1630576008995996,0.47733135725650938,-0.85122517292108379,3.5315065031806006,1.2911687141219155,0.43814096058998259,2.8295335417548193,1.0183514600554482,-2.0716970318993555,0.074111575440503674,-0.1683719510277733,1.8081029301444069,2.813250506476499,-0.17830512468423693,2.2930901890555395,1.8301757221976296,-2.1124124879082666,-2.3127229565819727,2.3696720248023047,3.7532853728095068,3.6653802042761816,-2.2501683587273584,-1.7157409543236717,2.5517861491004004,1.3657154088774697,1.0044521933356301,-1.9490778798302635,-2.0694294327935205,-1.3766488188942894,1.0883080011168496,3.7152385359564795,0.24303577299509199,-2.3975520486077295,-2.0111916417321192,-2.1207371110161768,1.323900664404966,3.4216956740180029,-2.1676068658074366,0.2165401970902458,0.53535660560522236,-0.029214953823946399,-1.4250539893349632,1.3786654120245949,-2.1199062222680078,-2.290758168145083,2.2367086058417334,2.3664700632849707,1.4042710905829445,1.6668164377966896,-2.2967899197777735,-4.0652792805870996,-0.19649956171121447,-1.7053244466027244,-2.096262490197085,-0.27862081472482531,1.8389694338599221,-0.70852748100366436,0.39061276912037285,-1.4190649146279319,0.61508458311948933,2.6585242396155371,-2.3407025689324366,3.5099353438178076,3.1888248568335547,-1.7592449540337547,2.296513879851438,-1.2292689437111839,-0.55698255245294415,2.4151751642981543,0.8907671218672768,-0.10765579883661119,-1.8264146203240379,2.3196100836554541,-1.9832051152428611,-4.1977947110375391,-1.2108956927498802,-1.2360688800057396,-1.8238900059899315,-0.86720553581323467,-0.027806436463259143,-1.7001874798974022,-1.2176562899788841,2.3941752558508886,-0.45528093521203844,2.2259193306723608,-0.068795179768465442,-0.41647366230096666,1.3449152951994912,-0.54538110439386212,1.3633727675238625,0.85273441131506122,0.24904445763025435,0.6631188338557259,0.4339464550772682,-1.3287616128167137,2.2579960470953955,-1.4042799824913963,0.61381466145906605,2.3593933230200781,0.8688000386515633,1.4263145571509377,-1.6951468342980369,2.7577550059119238,0.17524067516718062,0.9498038535872475,-2.0003671998223291,0.18651787395868452,0.43843322451505812,-3.9814703816613184,0.57061597164068378,-1.5036745423516258,3.0048808699408545,-0.33383670990075914,1.7172023897925393,-1.6321361417016014,0.98652752693090595,1.9697740917960183,1.0880603438178078,-0.53754291479196392,2.773108208731748,-4.2355239743432032,-0.37801322881784288,0.72456821258459247,-2.0279355401238428,0.54893437977228321,3.1907698756018652,3.0268418436804785,3.457516396597959,1.4449412470618264,-3.340039288445376,0.84601234848890461,-1.4419619197091087,2.3569098358908667,-0.14701214973535387,1.4355934506217018,0.62639995868597187,0.99976345355901874,1.2342852001944558,1.2835021858969704,1.2228841429511086,-0.21482173149194567,3.613076413230039,-2.3255999440392481,-0.17167637292947618,-1.5193666571816429,-0.21886805240716783,0.57198853249941028,2.5018155222693457,3.2400831824103369,2.9130816107550634,-2.1386235112389551,-0.26648065988626329,-2.7126224393090235,-0.13236359302606432,-0.18778732959832994,0.67918309028539814,-0.97862473671045147,2.0716530924597754,-1.9102948064049705,-1.6672747487267479,-1.7135117406090721,-2.2741632813652979,-0.32925484125223009,-1.2433543557366356,0.36929347710032018,1.8232771998206154,-1.2759771699151023,1.1154466515341774,-0.021791195317171497,-1.1791127080162986,0.8878723030844704,3.6451568251410498,1.9975769167700783,0.7745423858920113,1.2915099507132546,-1.8756244534691795,-4.3823464268883692,-1.4591155404290184,-3.7586329335412012,-1.5040309781273826,-2.5591385716637598,-1.6513920182427391,1.5046544914999977,-2.0850282067498194,-2.1008479947289453,2.6287481432715429,1.1270150786200539,0.32470682095084341,-2.057024037285708,-1.2075527066430076,-1.065495407029055,0.13675721939001234,1.3079818731108681,-1.2754156941613182,2.884389365271665,1.3640479093352333,2.0701118355551733,-0.37930515949334948,2.5852379446784033,1.2134255414763466,2.5993244295874609,-2.2355978841027246,-1.3153759593209251,-1.8953039998253807,-0.45669290964212267,0.87915643508825458,-1.6264961117943748,-1.0798709744652732,1.6988180523673073,-0.94540134613122784,1.667353714064695,0.037134016112424451,-0.90237275306787335,1.2605692392149941,-1.1737389916619285,0.40754000674281271,1.4392054920950905,-0.45946708862390367,-3.0717862004479395,1.1325286274710671,-0.66270211879815899,2.3558253889838232,0.1166816001692787,-1.7870245331963523,3.0938043242255224,1.4199568873206154,-2.2672367448052393,3.5120024328986181,1.9821776991644875,-1.0933958644112571,-1.7200847024163231,-3.6352956647118555,1.8281238919058815,3.2434551363745703,1.7570126896658913,0.94751032646093525,0.94733711536321796,1.0536057596961037,-3.5108058804711328,1.2466590052405373,0.47824824060592802,-1.6976774090966209,1.6713567620078102,-1.3610468262871727,-0.77255121414270245,-1.1383841389855369,0.02872138674650343,2.4830815439978613,0.88447066600713886,1.9429345970908181,-1.0324172133645042,-2.3510797375878321,-1.4476848000725731,0.26201189513597639,1.1477381830969826,-1.4810302609642967,1.7048794871130959,-0.53395435754861675,1.6828380471030251,0.90038057620916523,-0.99898735229577862,1.2779807096282021,-3.4881890172204004,-1.5146830434044822,-0.72990480606164776,-0.610877429886721,-2.2288358563622461,-1.8078728074273094,2.216438139037229,-1.5956042165001854,1.2107753997603432,3.7306248789587988,1.7515104656973854,-2.2431216592034326,-3.7950709218224512,-0.27807972375955431,-1.5701052302559837,-2.0571282262047754,2.8631963377753271,-0.4825310463150963,1.6426313763419167,-2.0708632821282373,3.3254556303778662,-1.9241636151513084,1.9326098805228249,2.1696555262366308,-1.3984380120476707,-1.1418389434060081,0.19010824914369734,-0.1337219232758507,-2.1535916680535303,2.7292859202185644,-2.2689855450829493,2.4331793432990088,1.0194046741286293,-1.8206553811272606,-3.9941161030968653,-2.0084650868615137,-0.075243359251879138,0.55220734532270588,-0.75211945716943585,-1.5432904118737205,-1.80182484333124,-0.82482949440088116,0.86275687272939838,-3.5396340245446192,1.3238997703352944,0.044734383181668835,-3.2960760945519434,-2.0534053200921045,2.2898159867087378,3.2229990607062353,2.7280842905798925,3.2318439131537451,-1.2646129483422264,-1.4033933037957176,-0.47724065725412218,0.92000427301321186,3.077028000907041,1.6591003781119362,2.000695312575437,-2.0032043809136377,0.43237840588483961,2.5682856684485449,-0.60239753667917095,-2.0061273926934229,0.086906844929792004,-1.5733874196251854,-1.7488398904046043,-2.2866111153801905,-2.2330105656823145,3.6391958838263525,-2.0540738457879053,-1.4164207333764061,-0.025705700560472888,-1.9356620663842186,0.99586179311666645,1.7376130467215554,-2.3733580464562403,-2.0383117551049219,1.4584244137564675,0.66361799295339741,-2.2756264561852442,1.240804219798185,-2.1218195313652979,-0.42767701093759386,-1.2472914809426292,-1.4674115533074363,2.4409746771613134,-2.2123680466851221,-1.3827655667504295,1.845051730231382,-2.5346234196862207,-1.4120872372826561,-1.3125818127831443,-0.012733524485491199,0.95320072229299702,0.21816810424719008,1.9236166125098244,0.075430149392224866,-2.3801901692589746,-1.9588947648247703,-0.29265860263910143,1.6331224089423195,1.1292436962882058,0.88943287189397968,-2.2359147423943506,1.5138283615866677,1.9692984467307106,0.72607460077200092,0.69116958434972919,1.4489907866278664,-0.63467577640619122,1.1443618779936806,-1.4216475838860496,0.54873485322389759,-0.38111028616037218,1.5091299658576027,0.79618325288686909,0.56344146485719837,0.7448875253954903,-4.1484949940880762,-2.3450262898644434,0.51448547299299396,1.9984683638373391,3.2512380724707617,1.1803533678809182,0.071157509640790539,2.7110910063544287,0.73239692504797138,0.9550708180228249,0.3882182344729081,1.0160740857878701,-3.5063732022484766,-2.0848410481652246,3.2758783942023291,2.0168980007926001,1.0070734267989174,0.077136183337308484,3.4548844939032568,0.11523925717268141,1.8868381624976174,-1.9708857888421043,3.0285789614478125,2.9304322844306006,2.6455645209113134]],\"name\":\"All_cells\",\"visible\":true},{\"title\":{\"text\":\"All_cells (nCells:1000)\",\"font\":{\"size\":16,\"color\":\"black\"},\"y\":0.94999999999999996}}],\"label\":\"All_cells\"}]},{\"y\":0.33000000000000002,\"buttons\":[{\"method\":\"update\",\"args\":[{\"text\":[[\"Cell:CAGCCGAAGCGATATA
Exp:0
split.by:All_cells\",\"Cell:AGTGTCATCGCCGTGA
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGTTGTAGA
Exp:0
split.by:All_cells\",\"Cell:CACAGTACATCCGTGG
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTCATTGGGCC
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTGTGTGACCC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:ACCGTAACAAGGTTCT
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGGTGGGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGGTCCCTTGT
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTGTCTTCTCG
Exp:0
split.by:All_cells\",\"Cell:CCGTGGACACGAAGCA
Exp:0
split.by:All_cells\",\"Cell:GAACATCAGCAATATG
Exp:0
split.by:All_cells\",\"Cell:TTCTACACAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:ACGGCCACACGTGAGA
Exp:0.876
split.by:All_cells\",\"Cell:CTCGTACAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CGTCTACAGATGCGAC
Exp:0
split.by:All_cells\",\"Cell:CTCACACGTCACACGC
Exp:0
split.by:All_cells\",\"Cell:AAAGCAACACGGTAAG
Exp:0
split.by:All_cells\",\"Cell:CATCGGGCACGTTGGC
Exp:5.63
split.by:All_cells\",\"Cell:ATCATCTGTGTTTGTG
Exp:0
split.by:All_cells\",\"Cell:CAAGGCCCAAGAAAGG
Exp:0
split.by:All_cells\",\"Cell:AGATCTGGTTCGGCAC
Exp:3.432
split.by:All_cells\",\"Cell:CTCTGGTCAAGACACG
Exp:0
split.by:All_cells\",\"Cell:TACAGTGTCCCTAACC
Exp:0
split.by:All_cells\",\"Cell:GGACAGATCAGCATGT
Exp:0
split.by:All_cells\",\"Cell:CACTCCACATATGGTC
Exp:0
split.by:All_cells\",\"Cell:GTTCATTGTTCCAACA
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCCAATAGCAA
Exp:1.213
split.by:All_cells\",\"Cell:TACTCGCTCTTCGGTC
Exp:6.886
split.by:All_cells\",\"Cell:GCTGCTTTCCTCGCAT
Exp:1.352
split.by:All_cells\",\"Cell:GCTGGGTGTCTAGAGG
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:CGAGCACTCTAACTCT
Exp:0
split.by:All_cells\",\"Cell:GATCGTAAGTGCAAGC
Exp:4.718
split.by:All_cells\",\"Cell:TGTCCCAGTCTCGTTC
Exp:0
split.by:All_cells\",\"Cell:CTTGGCTCAGCCACCA
Exp:0
split.by:All_cells\",\"Cell:GGGTCTGGTAAACCTC
Exp:0
split.by:All_cells\",\"Cell:CGGACTGTCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:GGTGCGTTCTGGTATG
Exp:0
split.by:All_cells\",\"Cell:TACCTTATCCGATATG
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCTCTATCGCC
Exp:0
split.by:All_cells\",\"Cell:GTACGTACATCGATGT
Exp:0
split.by:All_cells\",\"Cell:TCGTAGATCTTTACGT
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGAGAGTGAGA
Exp:1.418
split.by:All_cells\",\"Cell:AGCGTATTCTGCTGTC
Exp:0
split.by:All_cells\",\"Cell:GGACAAGTCATAACCG
Exp:0
split.by:All_cells\",\"Cell:ACATCAGTCCTTGGTC
Exp:0
split.by:All_cells\",\"Cell:CCAGCGACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:GGACAGAAGTGGAGAA
Exp:1.208
split.by:All_cells\",\"Cell:GACTACAAGCGTGTCC
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTAGAGCTG
Exp:0.89
split.by:All_cells\",\"Cell:GTTCTCGCAAGTCTAC
Exp:0
split.by:All_cells\",\"Cell:CGAATGTTCTTCATGT
Exp:0
split.by:All_cells\",\"Cell:CCGTGGACATTCCTGC
Exp:0
split.by:All_cells\",\"Cell:CTAATGGAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:AGCGGTCGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:GTATTCTTCACTTACT
Exp:0
split.by:All_cells\",\"Cell:CAGTCCTAGGTGGGTT
Exp:1.702
split.by:All_cells\",\"Cell:CGACTTCCACAACGTT
Exp:0
split.by:All_cells\",\"Cell:AAACGGGTCCGCGCAA
Exp:0
split.by:All_cells\",\"Cell:CTAGTGACATTGAGCT
Exp:0
split.by:All_cells\",\"Cell:CTCCTAGAGAGTGACC
Exp:0
split.by:All_cells\",\"Cell:GCAGTTATCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:CGAACATCAAGCGAGT
Exp:0.808
split.by:All_cells\",\"Cell:GGGAGATAGCGAAGGG
Exp:1.123
split.by:All_cells\",\"Cell:CATCGGGAGGCCCTTG
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGCTGCAAG
Exp:0
split.by:All_cells\",\"Cell:CAGAATCCACGCATCG
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CGGACACTCTATCCTA
Exp:2.947
split.by:All_cells\",\"Cell:CGTGTAATCATTATCC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAAGTTAAGATG
Exp:0
split.by:All_cells\",\"Cell:ATTTCTGTCCCTGACT
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CAGATCACAACCGCCA
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGCATTCCTCG
Exp:0
split.by:All_cells\",\"Cell:CCACGGACAGATGAGC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAAGAAGATTC
Exp:0
split.by:All_cells\",\"Cell:CATGACACAAAGTCAA
Exp:1.077
split.by:All_cells\",\"Cell:AACGTTGTCAGTTAGC
Exp:0
split.by:All_cells\",\"Cell:CTGGTCTAGGTGATTA
Exp:3.747
split.by:All_cells\",\"Cell:TCAGGATTCCAGTAGT
Exp:4.697
split.by:All_cells\",\"Cell:CATTATCGTCATATCG
Exp:0
split.by:All_cells\",\"Cell:GCGCAACAGTGTACCT
Exp:0
split.by:All_cells\",\"Cell:GTGCATACAATAGCAA
Exp:0
split.by:All_cells\",\"Cell:TTTACTGGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:GTAGTCAGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:CCTACACGTTCTCATT
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCTCAACACGT
Exp:0
split.by:All_cells\",\"Cell:CTAACTTGTAGGAGTC
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:GTAGGCCGTTACCAGT
Exp:0
split.by:All_cells\",\"Cell:TCTCATATCAGAGCTT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTGTCATACTG
Exp:0
split.by:All_cells\",\"Cell:GGGAATGTCGACCAGC
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCAGGGTTTCT
Exp:0
split.by:All_cells\",\"Cell:CGGACTGAGGTAGCTG
Exp:0
split.by:All_cells\",\"Cell:CAACCTCTCTCTGTCG
Exp:1.013
split.by:All_cells\",\"Cell:CTGAAACGTTCCCTTG
Exp:6.41
split.by:All_cells\",\"Cell:GTAGTCAGTACTCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCACCTATCC
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTACCGTTA
Exp:0
split.by:All_cells\",\"Cell:TTCTACAAGATCGATA
Exp:0
split.by:All_cells\",\"Cell:TCACAAGCACCGAAAG
Exp:0
split.by:All_cells\",\"Cell:TCGGGACGTCATCGGC
Exp:0.871
split.by:All_cells\",\"Cell:ACGCCAGAGGAACTGC
Exp:0
split.by:All_cells\",\"Cell:CATATGGCATGTTGAC
Exp:0.615
split.by:All_cells\",\"Cell:ATCATCTTCTGTCAAG
Exp:0
split.by:All_cells\",\"Cell:CCGTTCACAGTAGAGC
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTGTGGTCCGT
Exp:0.63
split.by:All_cells\",\"Cell:TTTGTCAGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:ATTATCCAGACCCACC
Exp:0
split.by:All_cells\",\"Cell:CACCACTCAATCTACG
Exp:0
split.by:All_cells\",\"Cell:GCGCGATGTCCGAATT
Exp:0
split.by:All_cells\",\"Cell:CATTATCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGCTAAGAT
Exp:0
split.by:All_cells\",\"Cell:GCGCGATTCGCGTAGC
Exp:0
split.by:All_cells\",\"Cell:CTACATTCACCGTTGG
Exp:0
split.by:All_cells\",\"Cell:TCATTTGCATTGGCGC
Exp:1.581
split.by:All_cells\",\"Cell:AGCAGCCCAGGAATGC
Exp:0
split.by:All_cells\",\"Cell:GGGATGAGTCTGCGGT
Exp:0
split.by:All_cells\",\"Cell:TGCGCAGTCTGCCAGG
Exp:0
split.by:All_cells\",\"Cell:AGCGTATTCTCGTATT
Exp:0.954
split.by:All_cells\",\"Cell:GTCTCGTAGATCTGCT
Exp:0
split.by:All_cells\",\"Cell:CAGAATCGTGTAAGTA
Exp:0
split.by:All_cells\",\"Cell:TGACTTTAGGTCATCT
Exp:1.041
split.by:All_cells\",\"Cell:GTGCATATCAGAGACG
Exp:1.487
split.by:All_cells\",\"Cell:TGGCCAGCACGAAAGC
Exp:0.84
split.by:All_cells\",\"Cell:TGGCGCACAATGTTGC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACGTCTGATCA
Exp:0
split.by:All_cells\",\"Cell:CAGCGACAGATCACGG
Exp:1.002
split.by:All_cells\",\"Cell:AAAGATGAGTGAACAT
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTGTCAGAGGT
Exp:5.384
split.by:All_cells\",\"Cell:ATTTCTGAGAAGATTC
Exp:0.949
split.by:All_cells\",\"Cell:CTCTAATTCACCATAG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTTCTTGTCAT
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGCTAGTCT
Exp:0.712
split.by:All_cells\",\"Cell:CCTAAAGTCATGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCACAGCTGTCTA
Exp:0
split.by:All_cells\",\"Cell:GAAATGACACATGACT
Exp:0
split.by:All_cells\",\"Cell:ACTGAGTAGGCTAGGT
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGAGCTGCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCACAGATCGGA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTTCTGGTGTA
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTCATACTCTT
Exp:0
split.by:All_cells\",\"Cell:ACTATCTGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCGATAGAA
Exp:0
split.by:All_cells\",\"Cell:GTTCTCGCAGCTGGCT
Exp:0
split.by:All_cells\",\"Cell:CATATGGAGGCCCGTT
Exp:0
split.by:All_cells\",\"Cell:ACTGAACAGCCTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGGTGCCT
Exp:0
split.by:All_cells\",\"Cell:CCCTCCTAGACCCACC
Exp:0
split.by:All_cells\",\"Cell:TTAACTCGTCCGAACC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCCATAAAGGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCAAACCAC
Exp:0
split.by:All_cells\",\"Cell:GTTCTCGGTTTGTGTG
Exp:0
split.by:All_cells\",\"Cell:ACATCAGTCCGTTGTC
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCCTTTCTC
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGCCAACAG
Exp:0.985
split.by:All_cells\",\"Cell:AAGACCTAGTAGGCCA
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCACGAGGTA
Exp:0
split.by:All_cells\",\"Cell:GGACAGAAGGCCGAAT
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCCACGTAAGG
Exp:0
split.by:All_cells\",\"Cell:TCCACACCAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:CACACCTGTCGCTTTC
Exp:0
split.by:All_cells\",\"Cell:GGCTCGAGTCGCTTCT
Exp:0
split.by:All_cells\",\"Cell:TGGCTGGCAGTGAGTG
Exp:6.628
split.by:All_cells\",\"Cell:GATGAAACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:TTCTTAGTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TCCCGATGTAAGTGTA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCTGCTGTC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGTGGTAGC
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTAAGAGAG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAGTTCGCTAA
Exp:0
split.by:All_cells\",\"Cell:CCATTCGGTGCTAGCC
Exp:0
split.by:All_cells\",\"Cell:CCACTACTCTTTAGTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTGAAATCA
Exp:0
split.by:All_cells\",\"Cell:ACCGTAATCTATCCCG
Exp:0
split.by:All_cells\",\"Cell:ACTTACTCAATACGCT
Exp:0
split.by:All_cells\",\"Cell:GAACGGATCACAACGT
Exp:0
split.by:All_cells\",\"Cell:CGGTTAAGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:CAAGAAACACTAGTAC
Exp:1.394
split.by:All_cells\",\"Cell:AGTTGGTGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:CGTCCATGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:CAGCTAACAACACGCC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACCATACGCTA
Exp:0
split.by:All_cells\",\"Cell:CTCGTACCAGCCAGAA
Exp:0
split.by:All_cells\",\"Cell:ATTATCCGTATAAACG
Exp:0
split.by:All_cells\",\"Cell:GTACTTTTCAGTTCGA
Exp:6.092
split.by:All_cells\",\"Cell:AGTAGTCCACATGACT
Exp:0
split.by:All_cells\",\"Cell:AGTGAGGTCTGTTGAG
Exp:0
split.by:All_cells\",\"Cell:TCTCATAAGCAGATCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGATCAGGATCT
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCCAAGTCATC
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTACTTCTT
Exp:0
split.by:All_cells\",\"Cell:GTCCTCAAGTTCGATC
Exp:0
split.by:All_cells\",\"Cell:GCCAAATGTAAACACA
Exp:0
split.by:All_cells\",\"Cell:ACTTACTGTTTGGGCC
Exp:0
split.by:All_cells\",\"Cell:ACTTACTCACCGTTGG
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGAGGACCACA
Exp:4.921
split.by:All_cells\",\"Cell:AAGACCTGTGGCTCCA
Exp:7.216
split.by:All_cells\",\"Cell:AACTTTCCACAGTCGC
Exp:0.914
split.by:All_cells\",\"Cell:CAGATCATCTCGATGA
Exp:0.588
split.by:All_cells\",\"Cell:TGTTCCGGTCAGCTAT
Exp:0.897
split.by:All_cells\",\"Cell:GCGCCAAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTTCGCACTCT
Exp:0
split.by:All_cells\",\"Cell:GTAACTGTCAGTGCAT
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:CGCCAAGTCTAAGCCA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCATGTAGC
Exp:0.807
split.by:All_cells\",\"Cell:ATGCGATGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGACAGACC
Exp:0.799
split.by:All_cells\",\"Cell:GTCAAGTAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACAGTCACTA
Exp:0
split.by:All_cells\",\"Cell:TATCTCACATTGTGCA
Exp:0
split.by:All_cells\",\"Cell:CGTAGCGAGACTGTAA
Exp:0
split.by:All_cells\",\"Cell:ACGATGTGTCGCGGTT
Exp:0
split.by:All_cells\",\"Cell:CTCTGGTTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTAGTAAGTAC
Exp:1.404
split.by:All_cells\",\"Cell:CAGAATCCACAAGCCC
Exp:0
split.by:All_cells\",\"Cell:GTAACTGGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AACTTTCGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCAATCCGAT
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCAGTGTCCCG
Exp:0
split.by:All_cells\",\"Cell:TATTACCGTTGAGTTC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCATCAGAGCTT
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCGCCTGAG
Exp:0
split.by:All_cells\",\"Cell:TCGTACCCATATACGC
Exp:0.969
split.by:All_cells\",\"Cell:TGGTTCCGTTGATTCG
Exp:0.55
split.by:All_cells\",\"Cell:AGAGCTTCATTCGACA
Exp:7.327
split.by:All_cells\",\"Cell:GGTGTTACATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CCTCTGACATCGGTTA
Exp:0
split.by:All_cells\",\"Cell:CTCTACGCACTAAGTC
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGGTGAAGGCT
Exp:1.213
split.by:All_cells\",\"Cell:ACGTCAACAGACAAAT
Exp:0.771
split.by:All_cells\",\"Cell:TCGAGGCAGTTAACGA
Exp:0.791
split.by:All_cells\",\"Cell:CAAGTTGTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTACTTGAC
Exp:0.946
split.by:All_cells\",\"Cell:AGAGCTTTCTTGAGGT
Exp:0
split.by:All_cells\",\"Cell:GCACATAAGCAATATG
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGTGACATA
Exp:1.032
split.by:All_cells\",\"Cell:TGTGGTACAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TAAGAGACAGTAGAGC
Exp:0
split.by:All_cells\",\"Cell:CACATTTTCGAGGTAG
Exp:0
split.by:All_cells\",\"Cell:AGACGTTCAATGGTCT
Exp:1.021
split.by:All_cells\",\"Cell:GGAACTTGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGATCTAGCACA
Exp:0
split.by:All_cells\",\"Cell:CGTAGCGTCACTATTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCACTGTGTA
Exp:0
split.by:All_cells\",\"Cell:TGCGCAGTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCGGAATCT
Exp:1.046
split.by:All_cells\",\"Cell:ACTGATGGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CAGTAACAGCCACCTG
Exp:0
split.by:All_cells\",\"Cell:ACTGATGAGTGCAAGC
Exp:0
split.by:All_cells\",\"Cell:CTGCTGTGTTGTGGCC
Exp:0
split.by:All_cells\",\"Cell:GAGTCCGCAATTGCTG
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTAGCGTAATA
Exp:0
split.by:All_cells\",\"Cell:GTCATTTGTCTCAACA
Exp:0
split.by:All_cells\",\"Cell:GACTAACCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:GGTGAAGAGCAGGTCA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGTCTGATACG
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTCACCGAATT
Exp:1.009
split.by:All_cells\",\"Cell:CAGGTGCAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAAGCTACCTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCGTGCAGACA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGAGTTTGCGT
Exp:0
split.by:All_cells\",\"Cell:TCTATTGCAGTAAGCG
Exp:0
split.by:All_cells\",\"Cell:TTGGCAATCGGATGGA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGAGTCATCCA
Exp:0
split.by:All_cells\",\"Cell:CACCACTTCAGCTTAG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAGTATCGCAT
Exp:0
split.by:All_cells\",\"Cell:ACGGGCTAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAGTGTATGGG
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTCAGAAGC
Exp:3.032
split.by:All_cells\",\"Cell:GATCGATAGAAAGTGG
Exp:1.214
split.by:All_cells\",\"Cell:TGCGGGTTCCAGGGCT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGTCCTACAGA
Exp:0
split.by:All_cells\",\"Cell:AGGGATGTCGCATGGC
Exp:0
split.by:All_cells\",\"Cell:TGCCCTACAATCACAC
Exp:0
split.by:All_cells\",\"Cell:CCCATACTCGTGGACC
Exp:0
split.by:All_cells\",\"Cell:GACTAACCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:TCACAAGAGCCACTAT
Exp:1.004
split.by:All_cells\",\"Cell:GGCAATTTCACATGCA
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCAGGAATGGA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:GCATGTAAGAATCTCC
Exp:0
split.by:All_cells\",\"Cell:GTTACAGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:GTTCGGGAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGTCTGGAGCC
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCGTTTAGG
Exp:0
split.by:All_cells\",\"Cell:GCATGCGCAAATTGCC
Exp:0
split.by:All_cells\",\"Cell:TCAACGACACCATCCT
Exp:0.432
split.by:All_cells\",\"Cell:CCTCTGATCATGTCTT
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCTTCTGGC
Exp:0.935
split.by:All_cells\",\"Cell:CTCAGAATCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:CGTCCATCATGGTAGG
Exp:0
split.by:All_cells\",\"Cell:TTAGTTCCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCAACACGT
Exp:0
split.by:All_cells\",\"Cell:CAGCAGCAGAGGTACC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGGTTCTCATT
Exp:0
split.by:All_cells\",\"Cell:CTAGCCTGTGCGATAG
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGGTCTCCACT
Exp:0
split.by:All_cells\",\"Cell:GCATGATCATGCATGT
Exp:0
split.by:All_cells\",\"Cell:TACGGTATCCCATTTA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGAAGCTAGGCA
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTCGAGTTT
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTACGAAAT
Exp:0
split.by:All_cells\",\"Cell:GTATTCTTCAGGTAAA
Exp:0
split.by:All_cells\",\"Cell:TACCTATGTAACGTTC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGCAACGATGG
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTTCAGCACAT
Exp:0
split.by:All_cells\",\"Cell:TGCCAAACATGACATC
Exp:0
split.by:All_cells\",\"Cell:CTAAGACGTACTCTCC
Exp:0.84
split.by:All_cells\",\"Cell:CGATGGCTCAGTGTTG
Exp:0
split.by:All_cells\",\"Cell:CCAGCGACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:TGAGAGGAGCCAGGAT
Exp:6.437
split.by:All_cells\",\"Cell:AGAGCGACACAACTGT
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTTCCTTTCGG
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGTCCGGTC
Exp:1.029
split.by:All_cells\",\"Cell:GGGATGATCTGTCCGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACATCCTAGA
Exp:0.845
split.by:All_cells\",\"Cell:GCACATATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:CATCCACCAGATGGGT
Exp:0
split.by:All_cells\",\"Cell:TGCCCTATCATAAAGG
Exp:1.015
split.by:All_cells\",\"Cell:ACTGTCCAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCACTTCC
Exp:0
split.by:All_cells\",\"Cell:GACAGAGCAGTCAGAG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTTCAGTCCCT
Exp:1.127
split.by:All_cells\",\"Cell:AATCGGTGTCACACGC
Exp:0
split.by:All_cells\",\"Cell:TACGGATAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGCAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:CCACGGAGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTATTG
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCACCAGGCT
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:CACCAGGGTACCTACA
Exp:0
split.by:All_cells\",\"Cell:GGCCGATTCAGAGACG
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCTAAGCCA
Exp:0
split.by:All_cells\",\"Cell:GACTGCGGTCGCCATG
Exp:0
split.by:All_cells\",\"Cell:GAATGAACAGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:CGCTGGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTAATGGCATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGATCAATCTCT
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTTCGTACGGC
Exp:0
split.by:All_cells\",\"Cell:TTCCCAGAGGATTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTCATCTCCCA
Exp:1.023
split.by:All_cells\",\"Cell:GTGCGGTAGTGAATTG
Exp:0
split.by:All_cells\",\"Cell:TACCTATGTCCAACTA
Exp:1.117
split.by:All_cells\",\"Cell:TACTTGTAGACAAAGG
Exp:0
split.by:All_cells\",\"Cell:GTCCTCACACCACGTG
Exp:0
split.by:All_cells\",\"Cell:TAAACCGCATTCCTCG
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:TCAGCTCAGGCTATCT
Exp:4.589
split.by:All_cells\",\"Cell:CACAGTAGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGCACACATGT
Exp:0
split.by:All_cells\",\"Cell:ACGGCCACACGCTTTC
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCATTCCTGC
Exp:0.916
split.by:All_cells\",\"Cell:CTCAGAATCAGGTTCA
Exp:0.96
split.by:All_cells\",\"Cell:TGAGGGACAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:TACGGTATCTTTCCTC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGAGCGTTGCC
Exp:1.006
split.by:All_cells\",\"Cell:CAGCGACCACAGGAGT
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGCTTGC
Exp:0
split.by:All_cells\",\"Cell:GTCACGGCATACTACG
Exp:1.042
split.by:All_cells\",\"Cell:AAGGCAGTCCGAGCCA
Exp:0
split.by:All_cells\",\"Cell:GGACAGATCCTGCAGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTCCATCCT
Exp:0
split.by:All_cells\",\"Cell:AACTTTCCACTGCCAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTCATGCCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGAGTGCACCAC
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTGACTCAT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTGCGGCA
Exp:0
split.by:All_cells\",\"Cell:GGCGACTCACCAGGTC
Exp:1.152
split.by:All_cells\",\"Cell:GGGACCTAGCTGCCCA
Exp:0.946
split.by:All_cells\",\"Cell:AATCGGTCAAACAACA
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTACATCCA
Exp:0
split.by:All_cells\",\"Cell:CATGGCGAGAGTCTGG
Exp:0.925
split.by:All_cells\",\"Cell:CGTGTAATCGTTGACA
Exp:0
split.by:All_cells\",\"Cell:CGATCGGAGCTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGCACCTAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:GAACGGACAAGGTGTG
Exp:2.012
split.by:All_cells\",\"Cell:TTGTAGGGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGGGTGAAGGTGCAAC
Exp:0
split.by:All_cells\",\"Cell:CTACACCCAGGGCATA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCGTTATCCGA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCTCTTGCATT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTCCAGG
Exp:5.419
split.by:All_cells\",\"Cell:AAGTCTGGTCTCCATC
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTGTGTAAGTA
Exp:0
split.by:All_cells\",\"Cell:CGCTATCAGGTGATAT
Exp:0
split.by:All_cells\",\"Cell:AACTCTTAGCTAACAA
Exp:3.24
split.by:All_cells\",\"Cell:GTGTGCGGTAGTACCT
Exp:0
split.by:All_cells\",\"Cell:GGGTCTGCAGCAGTTT
Exp:7.232
split.by:All_cells\",\"Cell:CGTAGGCCAACACCCG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACTCTACCTGC
Exp:0
split.by:All_cells\",\"Cell:CATCGAAAGATGTTAG
Exp:0
split.by:All_cells\",\"Cell:GCAATCACAGCTGCTG
Exp:0
split.by:All_cells\",\"Cell:AACACGTAGTAATCCC
Exp:3.323
split.by:All_cells\",\"Cell:GATCTAGCATCACCCT
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTTCGG
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAGTTAGAACA
Exp:0
split.by:All_cells\",\"Cell:GAGCAGAAGCCAGTTT
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGGTAAGTAGT
Exp:2.854
split.by:All_cells\",\"Cell:GGACAGAGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGGATATAC
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTATAATGG
Exp:0.872
split.by:All_cells\",\"Cell:CTTCTCTCATGCGCAC
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:GTACTCCGTAGCGATG
Exp:0
split.by:All_cells\",\"Cell:CTGTGCTCAGCTCCGA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCAAGAAGT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACACGGTAAG
Exp:0
split.by:All_cells\",\"Cell:CAACCAAAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAAGTGGTAAT
Exp:0
split.by:All_cells\",\"Cell:CGAATGTAGTTCCACA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGACAATCGGTT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCCAGTATG
Exp:1.169
split.by:All_cells\",\"Cell:TTCTTAGTCGGCGCTA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCTGACCTC
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTCCACTC
Exp:0.599
split.by:All_cells\",\"Cell:TAAACCGAGGATGGAA
Exp:0
split.by:All_cells\",\"Cell:CTTACCGCAAAGTCAA
Exp:0.601
split.by:All_cells\",\"Cell:CGGTTAATCGTCTGAA
Exp:0
split.by:All_cells\",\"Cell:CTCGTCATCGGTCTAA
Exp:0.913
split.by:All_cells\",\"Cell:GTTAAGCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAATCTGCA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGCGTCTAT
Exp:0.92
split.by:All_cells\",\"Cell:TGGACGCGTATTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCACGGAAGATCCTGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTTTAGGG
Exp:0
split.by:All_cells\",\"Cell:CAGTAACCATGCCTAA
Exp:0
split.by:All_cells\",\"Cell:AGTAGTCAGCGTTCCG
Exp:0.991
split.by:All_cells\",\"Cell:ACGAGCCCACCTTGTC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTGTATATCCG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACGCGTAGACGCACA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTGTGATAAGT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCACAAGCCC
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCGGCACA
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGTCTTTACGT
Exp:0
split.by:All_cells\",\"Cell:CATCAGATCATCGCTC
Exp:0
split.by:All_cells\",\"Cell:CTTGGCTCATCCCACT
Exp:2.167
split.by:All_cells\",\"Cell:AGCATACGTCGCGAAA
Exp:7.686
split.by:All_cells\",\"Cell:CTTAACTGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:GTTTCTATCAACGGCC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAGTGACAAAT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCGTTATGTGC
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTAGGTGCTAG
Exp:1.656
split.by:All_cells\",\"Cell:GAATGAACAATCGAAA
Exp:0.772
split.by:All_cells\",\"Cell:CCTACACAGATCCGAG
Exp:0
split.by:All_cells\",\"Cell:GATGCTACAAGCGCTC
Exp:0
split.by:All_cells\",\"Cell:GTTACAGTCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGACCTTTG
Exp:0
split.by:All_cells\",\"Cell:GACTACACATATGAGA
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAAGTGGTCCC
Exp:0
split.by:All_cells\",\"Cell:CGTTAGATCAGTCAGT
Exp:0
split.by:All_cells\",\"Cell:GTGCTTCTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:GATGAGGAGAAACCTA
Exp:0
split.by:All_cells\",\"Cell:GAAATGATCTTCAACT
Exp:0
split.by:All_cells\",\"Cell:GCTCCTAGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCATGCAAC
Exp:0
split.by:All_cells\",\"Cell:CGACCTTCACACAGAG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTACGCACC
Exp:1.289
split.by:All_cells\",\"Cell:GCACTCTTCCGGCACA
Exp:0
split.by:All_cells\",\"Cell:GTACTCCTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:CACATAGTCATTGCGA
Exp:0.786
split.by:All_cells\",\"Cell:CTGAAACGTATGGTTC
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCAGTCTCAAC
Exp:0
split.by:All_cells\",\"Cell:CCTTTCTTCTTCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACGTAGCGCAA
Exp:0
split.by:All_cells\",\"Cell:TTGGAACGTCCGTTAA
Exp:0
split.by:All_cells\",\"Cell:CATTATCAGCTCCCAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGTCCATAACCTG
Exp:3.085
split.by:All_cells\",\"Cell:GTGCAGCTCGTTTATC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACCTCAGCGTGAAC
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACCGTTA
Exp:3.313
split.by:All_cells\",\"Cell:CGATTGAAGTTAGCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:GGACGTCCAGTATCTG
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGTCGGAT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGGTCATCT
Exp:0
split.by:All_cells\",\"Cell:CAAGGCCTCGTACCGG
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:GCAAACTTCGGAATCT
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCACGGTGTC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTTGGACCC
Exp:4.949
split.by:All_cells\",\"Cell:CTCGAGGTCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCATCGGAT
Exp:0
split.by:All_cells\",\"Cell:TGGTTAGCAGTCGTGC
Exp:1.205
split.by:All_cells\",\"Cell:CTCTAATAGTTATCGC
Exp:0
split.by:All_cells\",\"Cell:AACTCTTAGCTGCGAA
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCACGAAGG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTGTAGTGAAT
Exp:0
split.by:All_cells\",\"Cell:GGGTTGCTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:ATCCGAACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:TTCTCAATCACTCCTG
Exp:1.152
split.by:All_cells\",\"Cell:ACTGATGTCCCTAACC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTGTCTAAACC
Exp:1.364
split.by:All_cells\",\"Cell:TCGCGAGTCGACGGAA
Exp:0
split.by:All_cells\",\"Cell:AAATGCCAGACTAAGT
Exp:0.615
split.by:All_cells\",\"Cell:TACGGGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCATTTGCCC
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGTCGCCGTGA
Exp:1.045
split.by:All_cells\",\"Cell:CACATAGAGGGAAACA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGCATCGTCGG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGCAGTACACT
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCTCAACCATG
Exp:0
split.by:All_cells\",\"Cell:GTGTTAGAGTTTCCTT
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTAGTACTTGC
Exp:0
split.by:All_cells\",\"Cell:CACATTTGTATAGTAG
Exp:0
split.by:All_cells\",\"Cell:GTGCATAAGAATGTTG
Exp:0
split.by:All_cells\",\"Cell:GGACATTAGAAACCAT
Exp:0.754
split.by:All_cells\",\"Cell:TCTCTAAGTGGCAAAC
Exp:0
split.by:All_cells\",\"Cell:ACGATACTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGCACGAAATA
Exp:0
split.by:All_cells\",\"Cell:CATGACACATCCGCGA
Exp:1.373
split.by:All_cells\",\"Cell:ACGGGTCAGGGTGTTG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTTCGGCGCAT
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCGTGCGATAG
Exp:0
split.by:All_cells\",\"Cell:CGTTGGGGTTTAAGCC
Exp:0
split.by:All_cells\",\"Cell:AACTCAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTAGATCGATA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGTCACAATGC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:ATGCGATAGAAACGAG
Exp:0
split.by:All_cells\",\"Cell:TATGCCCTCTTCCTTC
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCGGAAACG
Exp:0
split.by:All_cells\",\"Cell:CGATGGCCAACTGGCC
Exp:1.586
split.by:All_cells\",\"Cell:CAGCCGAGTAGCCTAT
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTGGTGTAG
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCTCAAACG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCCAAGTAC
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCAGCAACGGT
Exp:0
split.by:All_cells\",\"Cell:CCTACACCATTATCTC
Exp:0.975
split.by:All_cells\",\"Cell:CTGAAACTCTGTTTGT
Exp:0
split.by:All_cells\",\"Cell:CCATGTCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CAGCCGAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGACGGCGTCAGGACA
Exp:1.083
split.by:All_cells\",\"Cell:ACTGATGCACATGACT
Exp:0
split.by:All_cells\",\"Cell:ATCATCTGTAGGACAC
Exp:2.988
split.by:All_cells\",\"Cell:ATCTGCCGTCATATGC
Exp:0
split.by:All_cells\",\"Cell:TACACGAAGATCCCAT
Exp:0
split.by:All_cells\",\"Cell:CATCCACGTTACGACT
Exp:0.789
split.by:All_cells\",\"Cell:AGATCTGCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCAATCCAAC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTCAATGAAAC
Exp:1.016
split.by:All_cells\",\"Cell:GTGCTTCTCACGACTA
Exp:0
split.by:All_cells\",\"Cell:GATCGTACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGAACAACT
Exp:0
split.by:All_cells\",\"Cell:CTACACCCATCAGTCA
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCATCAGTTCGA
Exp:0
split.by:All_cells\",\"Cell:ATAGACCAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACACGCAGTATGACA
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCCATGATCCA
Exp:0
split.by:All_cells\",\"Cell:CGTCTACTCAGTCCCT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTCACTACAGT
Exp:0
split.by:All_cells\",\"Cell:GATCAGTTCCCGGATG
Exp:0
split.by:All_cells\",\"Cell:GATCTAGGTGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGGTCAGATAA
Exp:0.751
split.by:All_cells\",\"Cell:CTCGTACGTTGGTTTG
Exp:0
split.by:All_cells\",\"Cell:TTGGCAATCGAACGGA
Exp:0.652
split.by:All_cells\",\"Cell:CATCGAAGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTCAACTGT
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTCAAAGTGCG
Exp:0
split.by:All_cells\",\"Cell:GAAGCAGGTCTAGAGG
Exp:5.828
split.by:All_cells\",\"Cell:CCCAGTTGTGCGCTTG
Exp:0
split.by:All_cells\",\"Cell:ATTCTACGTTTAGGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAATGCACATTTCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCCTGCTTG
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGAGCCCAA
Exp:0
split.by:All_cells\",\"Cell:GTGCAGCGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACGTTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTTCATTCACT
Exp:0
split.by:All_cells\",\"Cell:GATGCTATCCCTCTTT
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCACGCCAGT
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTTCTGATTCT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTCACGAGGTA
Exp:0
split.by:All_cells\",\"Cell:TCTATTGGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:TCACGAACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:CGAACATTCACAAACC
Exp:0.49
split.by:All_cells\",\"Cell:TCTATTGTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGACACTAA
Exp:2.984
split.by:All_cells\",\"Cell:GCGAGAAGTGGGTATG
Exp:1.181
split.by:All_cells\",\"Cell:TTCTCAAAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGTCTGTTGAG
Exp:0
split.by:All_cells\",\"Cell:ACATACGAGCTATGCT
Exp:0
split.by:All_cells\",\"Cell:ACGATACAGTCATCCA
Exp:6.233
split.by:All_cells\",\"Cell:ACGCAGCGTTCATGGT
Exp:7.114
split.by:All_cells\",\"Cell:TTAACTCCACGAGAGT
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGAGGCACATG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATTCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAATCGCAAACT
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGCATACTCTT
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATATGGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGCGTGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCCGCGCAA
Exp:0
split.by:All_cells\",\"Cell:CCTTCCCCAAAGTGCG
Exp:0
split.by:All_cells\",\"Cell:GTAACTGAGCCGGTAA
Exp:0.875
split.by:All_cells\",\"Cell:AGCATACCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:CATCAAGGTGGTCTCG
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTGTCTCGTTC
Exp:0
split.by:All_cells\",\"Cell:CTGATAGAGCTCAACT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCTCGTCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCTCCAACC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAACATGGTCTA
Exp:0
split.by:All_cells\",\"Cell:GTTCATTAGGGTCTCC
Exp:0
split.by:All_cells\",\"Cell:GCGACCATCACCAGGC
Exp:0
split.by:All_cells\",\"Cell:GTACTTTCATGGTCAT
Exp:0
split.by:All_cells\",\"Cell:TCAGCAAAGCGATGAC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAGACCATCTTATCTG
Exp:0
split.by:All_cells\",\"Cell:AGACGTTAGCCGATTT
Exp:0
split.by:All_cells\",\"Cell:GAACCTACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:CCAATCCAGAGTAAGG
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTACAGTTC
Exp:0
split.by:All_cells\",\"Cell:CAGGTGCGTACAAGTA
Exp:0
split.by:All_cells\",\"Cell:GCTCCTATCTCACATT
Exp:0
split.by:All_cells\",\"Cell:TATCAGGCACCAGTTA
Exp:0
split.by:All_cells\",\"Cell:TGCTACCCATAAGACA
Exp:1.186
split.by:All_cells\",\"Cell:GATTCAGAGTACGTTC
Exp:0
split.by:All_cells\",\"Cell:CGGACTGCATCCCATC
Exp:0
split.by:All_cells\",\"Cell:GCGCCAACACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:AGGTCATTCTGCGTAA
Exp:0
split.by:All_cells\",\"Cell:CTACCCAGTCAAACTC
Exp:0
split.by:All_cells\",\"Cell:TGGCCAGAGCTACCTA
Exp:0.59
split.by:All_cells\",\"Cell:TGTCCCACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGAGGAATTAC
Exp:3.35
split.by:All_cells\",\"Cell:TACAGTGAGCGTTTAC
Exp:3.851
split.by:All_cells\",\"Cell:CGATTGAAGTCTTGCA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCGTCACAAGG
Exp:0
split.by:All_cells\",\"Cell:GTCTCGTCACGTGAGA
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTCAGCATACT
Exp:0
split.by:All_cells\",\"Cell:GCTTGAACATTTGCTT
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTTCGCTTAGA
Exp:0.701
split.by:All_cells\",\"Cell:GATCAGTAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:GTACTTTAGATATGCA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGTCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:TCAGATGGTAGATTAG
Exp:0
split.by:All_cells\",\"Cell:TGTCCCAAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCTCAGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CTAAGACTCACTCCTG
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCTTAGAGC
Exp:0.807
split.by:All_cells\",\"Cell:CACACCTCATTGTGCA
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTAGCGTAG
Exp:1.009
split.by:All_cells\",\"Cell:ACTGAACAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGATGGGTC
Exp:2.366
split.by:All_cells\",\"Cell:GGAAAGCGTACGCACC
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CCCTCCTGTCTAACGT
Exp:0.984
split.by:All_cells\",\"Cell:TTAGGCAGTGTGAATA
Exp:0
split.by:All_cells\",\"Cell:TCGGTAACAGGGTACA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTCACCGAATT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTAGGAGTC
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGACGCTTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCTTCAAG
Exp:0
split.by:All_cells\",\"Cell:ATAAGAGTCCACGTTC
Exp:0
split.by:All_cells\",\"Cell:GATCGTAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTAAACT
Exp:0
split.by:All_cells\",\"Cell:CACCACTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCCACTCTGTC
Exp:0
split.by:All_cells\",\"Cell:GCATGTATCACGATGT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGATGGGTC
Exp:0
split.by:All_cells\",\"Cell:CGCGTTTGTATTACCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCAGGTGTTAA
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCAGAGGTG
Exp:0
split.by:All_cells\",\"Cell:TTCGAAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGGTGATGCCC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGTCCAGAGGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGACAGTAAGAT
Exp:0
split.by:All_cells\",\"Cell:CATCGAAGTAGCGTCC
Exp:0
split.by:All_cells\",\"Cell:TGGACGCTCTTGTTTG
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGGTCACCTAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAAACGCGA
Exp:2.831
split.by:All_cells\",\"Cell:CGTCACTGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:GCGACCACACGTTGGC
Exp:0
split.by:All_cells\",\"Cell:CCATGTCGTTTGCATG
Exp:0
split.by:All_cells\",\"Cell:TGCCAAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGGTAGCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGAGAACAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACTAGAGCTTCGCG
Exp:0
split.by:All_cells\",\"Cell:CGGACTGCAGCCAATT
Exp:1.714
split.by:All_cells\",\"Cell:GACCAATAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:GGACGTCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:AGGTCCGAGTTACCCA
Exp:0.999
split.by:All_cells\",\"Cell:GGAAAGCGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:CCGGGATGTACCGCTG
Exp:0.641
split.by:All_cells\",\"Cell:CATCCACAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:CGCTATCCAGGCAGTA
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACACTGTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTTCTCGTATT
Exp:0
split.by:All_cells\",\"Cell:CGGACGTAGACAGACC
Exp:0
split.by:All_cells\",\"Cell:AGTTGGTTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTCCAGTAT
Exp:1.515
split.by:All_cells\",\"Cell:TATGCCCAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATGACATC
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGCACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:ACCCACTTCTGAGGGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCTCGTTGCCT
Exp:0.932
split.by:All_cells\",\"Cell:ACGATGTTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TGACAACTCGCACTCT
Exp:0
split.by:All_cells\",\"Cell:GACGCGTCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CATATGGTCAACACAC
Exp:0
split.by:All_cells\",\"Cell:AGTGGGAGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ATTGGTGTCCAGTATG
Exp:0.784
split.by:All_cells\",\"Cell:GATGCTAAGCGATAGC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:TTCTCAACAGTTTACG
Exp:0
split.by:All_cells\",\"Cell:TCACAAGAGCATGGCA
Exp:0.99
split.by:All_cells\",\"Cell:GGAATAACACGACGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAGATGTTAAAGAC
Exp:5.46
split.by:All_cells\",\"Cell:AACTTTCGTGACCAAG
Exp:0.904
split.by:All_cells\",\"Cell:CGAGAAGCACTTACGA
Exp:0
split.by:All_cells\",\"Cell:AACTCCCAGTACGACG
Exp:0
split.by:All_cells\",\"Cell:CGTTAGAAGTATCTCG
Exp:0
split.by:All_cells\",\"Cell:CCTATTACAAACGTGG
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTAGATCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCATTCGCAAGCCATT
Exp:0
split.by:All_cells\",\"Cell:GTATCTTGTACTCAAC
Exp:0
split.by:All_cells\",\"Cell:TGCTACCCAGGGCATA
Exp:0
split.by:All_cells\",\"Cell:GGAACTTAGGTTACCT
Exp:1.035
split.by:All_cells\",\"Cell:AGATTGCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACGTTCAGTAC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCATCACATAGC
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGAGGAATGGA
Exp:0
split.by:All_cells\",\"Cell:ATTATCCCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCAACTGCGC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCAAAGAATC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTAGTCTCGGC
Exp:0
split.by:All_cells\",\"Cell:TCTGGAAGTCATCGGC
Exp:0
split.by:All_cells\",\"Cell:AAATGCCCACCAACCG
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCGCTTGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGTTACACCTCGGA
Exp:6.15
split.by:All_cells\",\"Cell:CTCGAGGCAAGTCTGT
Exp:0
split.by:All_cells\",\"Cell:CGGACTGTCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTCAAATTGCC
Exp:0
split.by:All_cells\",\"Cell:ATTGGTGGTACTTGAC
Exp:0.906
split.by:All_cells\",\"Cell:GCCTCTAAGAGTTGGC
Exp:0.949
split.by:All_cells\",\"Cell:CGGCTAGGTAACGACG
Exp:0
split.by:All_cells\",\"Cell:AAAGATGAGTCATGCT
Exp:0.938
split.by:All_cells\",\"Cell:GTACTCCCACGTCTCT
Exp:0
split.by:All_cells\",\"Cell:TTGAACGAGGAATCGC
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCGATAGAA
Exp:0
split.by:All_cells\",\"Cell:CTCTAATTCAGCGACC
Exp:0
split.by:All_cells\",\"Cell:TATGCCCAGAACAATC
Exp:1.023
split.by:All_cells\",\"Cell:AACCATGGTTGAACTC
Exp:0
split.by:All_cells\",\"Cell:CAGCATAGTAATAGCA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTTCCTCAATT
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCTGGCGAC
Exp:1.168
split.by:All_cells\",\"Cell:ATCACGATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:GAGCAGAGTTTGCATG
Exp:0.722
split.by:All_cells\",\"Cell:TGCACCTAGATAGTCA
Exp:1.147
split.by:All_cells\",\"Cell:CAGCCGAAGTGACTCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCTGGTATG
Exp:0.654
split.by:All_cells\",\"Cell:AGCTCCTAGTACACCT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGCGATGAC
Exp:0.562
split.by:All_cells\",\"Cell:TCCACACTCACGATGT
Exp:0
split.by:All_cells\",\"Cell:TCAGATGCACGACGAA
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCAACACTG
Exp:0
split.by:All_cells\",\"Cell:CTTAGGACATCTATGG
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAAGTAGATGT
Exp:1.399
split.by:All_cells\",\"Cell:ATCTACTGTGAACCTT
Exp:0
split.by:All_cells\",\"Cell:CGATGTAGTGGTACAG
Exp:0
split.by:All_cells\",\"Cell:CTAGCCTGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTGAGTGT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTGACAT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCTCCATGAGT
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAGTACCGAGA
Exp:0.993
split.by:All_cells\",\"Cell:ACTGAGTGTTTCGCTC
Exp:1.02
split.by:All_cells\",\"Cell:AGAGCGATCTCTTGAT
Exp:0
split.by:All_cells\",\"Cell:GAAGCAGTCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:GTCGTAAAGGTGATTA
Exp:0
split.by:All_cells\",\"Cell:CACACTCAGGCGCTCT
Exp:0.998
split.by:All_cells\",\"Cell:TGGGAAGGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CGCGGTACATTAGGCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAAAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTGTTCGTCTC
Exp:0
split.by:All_cells\",\"Cell:CTGGTCTTCGTTACAG
Exp:0
split.by:All_cells\",\"Cell:TCTCTAAAGCTGGAAC
Exp:1.688
split.by:All_cells\",\"Cell:CGGTTAAAGTAGCGGT
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CCTTACGCAAGGTGTG
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCACGAAGCA
Exp:6.434
split.by:All_cells\",\"Cell:CAACCTCGTCTAAACC
Exp:0
split.by:All_cells\",\"Cell:AGCGGTCGTACCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTCGTCATCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:GGCCGATGTCAAACTC
Exp:0.859
split.by:All_cells\",\"Cell:TTCTACAGTGTTGAGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGAGCGCCTTG
Exp:0
split.by:All_cells\",\"Cell:GATCGATCAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TTGGCAACATCATCCC
Exp:6.189
split.by:All_cells\",\"Cell:TTTATGCTCCATTCTA
Exp:1.042
split.by:All_cells\",\"Cell:AACTTTCAGGCATTGG
Exp:0.98
split.by:All_cells\",\"Cell:GCCTCTAGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCAGATGGCGT
Exp:0
split.by:All_cells\",\"Cell:TACGGTAGTGTGCCTG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCAGATATGCA
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTTCGTGGGAA
Exp:1.244
split.by:All_cells\",\"Cell:AAGCCGCAGGAGTTGC
Exp:0
split.by:All_cells\",\"Cell:CTGAAACAGGAGTAGA
Exp:1.064
split.by:All_cells\",\"Cell:CATGGCGAGCCCTAAT
Exp:0.973
split.by:All_cells\",\"Cell:ACATGGTCAAGGACTG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCTCTAGC
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCAAAGAATC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTAGCCACCTG
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCACAGGCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGTCATCGATG
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGGTGTGGT
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACACGGCCAT
Exp:0
split.by:All_cells\",\"Cell:CGTGTAATCCATGCTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGCATCAGTAC
Exp:0
split.by:All_cells\",\"Cell:GGGATGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTCGTACGTTCCGTCT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGACATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ATCTGCCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGAGCAATT
Exp:0
split.by:All_cells\",\"Cell:CACACAACACACTGCG
Exp:0
split.by:All_cells\",\"Cell:TAGGCATTCGTTGCCT
Exp:0
split.by:All_cells\",\"Cell:TCTCTAATCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:ACACCCTGTCAGATAA
Exp:0
split.by:All_cells\",\"Cell:AGATCTGTCGATCCCT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTTCTCGCTTG
Exp:0
split.by:All_cells\",\"Cell:CTACGTCAGTCTCGGC
Exp:0
split.by:All_cells\",\"Cell:CATCCACTCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TCTCATACAGATCTGT
Exp:0
split.by:All_cells\",\"Cell:CACACCTCACTGCCAG
Exp:0
split.by:All_cells\",\"Cell:CTCGTACCAATGGATA
Exp:0
split.by:All_cells\",\"Cell:ACACCAAAGTAGGCCA
Exp:0
split.by:All_cells\",\"Cell:TACACGAGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGTATTGGA
Exp:0
split.by:All_cells\",\"Cell:AGACGTTTCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTGTGAATA
Exp:6.287
split.by:All_cells\",\"Cell:GCACTCTGTCTGCAAT
Exp:0
split.by:All_cells\",\"Cell:TGTGGTACAAGACGTG
Exp:0
split.by:All_cells\",\"Cell:AGGCCGTCACGACGAA
Exp:0
split.by:All_cells\",\"Cell:TATGCCCTCTTACCTA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTCACGGACAA
Exp:1.548
split.by:All_cells\",\"Cell:GTCGGGTGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCGTAGGTT
Exp:0
split.by:All_cells\",\"Cell:CGTCTACGTTTCCACC
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCAGACATAAC
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGAGTGGAGAA
Exp:0
split.by:All_cells\",\"Cell:CTGATAGTCGGCTACG
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACGTCCATCCT
Exp:0
split.by:All_cells\",\"Cell:CATGACAGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:GACCAATAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:CAGCGACCATATGGTC
Exp:1.128
split.by:All_cells\",\"Cell:TGCTGCTGTCCGTCAG
Exp:0
split.by:All_cells\",\"Cell:TCAGATGCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:TATCAGGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:GGGAATGGTCGGCTCA
Exp:0.847
split.by:All_cells\",\"Cell:TAGTTGGAGTCAAGCG
Exp:0.954
split.by:All_cells\",\"Cell:TACCTATTCGTTACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGAGGGAAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTTCCTTTCGG
Exp:0.593
split.by:All_cells\",\"Cell:TGATTTCAGTGGAGTC
Exp:0
split.by:All_cells\",\"Cell:CTAACTTAGATCACGG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAGTCCGAATT
Exp:1.335
split.by:All_cells\",\"Cell:GAAATGATCGTCCGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCCACTCCA
Exp:6.131
split.by:All_cells\",\"Cell:GTTCGGGAGGCAATTA
Exp:1.659
split.by:All_cells\",\"Cell:GCGCCAATCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:AGTGGGATCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:CGACTTCGTTGATTCG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTAACGACG
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCTCTTCCTTC
Exp:7.138
split.by:All_cells\",\"Cell:ACTGATGGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:AAGGAGCAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:TACTTACGTGTGGCTC
Exp:0
split.by:All_cells\",\"Cell:ATGCGATTCGCGTAGC
Exp:0
split.by:All_cells\",\"Cell:ATTGGACAGTCAAGGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGTCCGCTGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTAGACGCACA
Exp:0
split.by:All_cells\",\"Cell:ATGAGGGGTTCTGGTA
Exp:0
split.by:All_cells\",\"Cell:CGACCTTAGCTGCCCA
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTGCCTGCA
Exp:1.097
split.by:All_cells\",\"Cell:GCTCTGTAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:GTATTCTAGGTGCTTT
Exp:0
split.by:All_cells\",\"Cell:TCTGGAATCGGTGTCG
Exp:0
split.by:All_cells\",\"Cell:GACGTTAAGACGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCGTAGAGGACGG
Exp:0.672
split.by:All_cells\",\"Cell:ATGAGGGCAAGGTTTC
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTCAAAGCAAT
Exp:1.222
split.by:All_cells\",\"Cell:CATCGGGTCATTTGGG
Exp:2.378
split.by:All_cells\",\"Cell:ACATACGGTAAACACA
Exp:1.008
split.by:All_cells\",\"Cell:CTGCTGTGTTATCACG
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTAGTGCCATT
Exp:0
split.by:All_cells\",\"Cell:CCACGGAGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:CCATTCGCATGAAGTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCTGCTGCT
Exp:0.872
split.by:All_cells\",\"Cell:ACGATGTTCTGCTGCT
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTCACCATCCT
Exp:0
split.by:All_cells\",\"Cell:TAGTTGGGTACCGTAT
Exp:0
split.by:All_cells\",\"Cell:GCGCAACCAACACCTA
Exp:0
split.by:All_cells\",\"Cell:CCAGCGAGTACCGTAT
Exp:0.797
split.by:All_cells\",\"Cell:AGCGTATCATCTCCCA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCCTGTAGA
Exp:1.277
split.by:All_cells\",\"Cell:GGAAAGCTCTCGGACG
Exp:0
split.by:All_cells\",\"Cell:ACTGATGGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:GTAACGTCAGCCTATA
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCTAACTCT
Exp:0
split.by:All_cells\",\"Cell:GAAATGACATCTACGA
Exp:0.855
split.by:All_cells\",\"Cell:GTGTGCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TCTCATAGTTACCAGT
Exp:0
split.by:All_cells\",\"Cell:ACGTCAACACGGTGTC
Exp:1.356
split.by:All_cells\",\"Cell:ACTGATGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:TGTATTCCAATGACCT
Exp:0.598
split.by:All_cells\",\"Cell:AGGGAGTAGCTAGCCC
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGAGCTGGT
Exp:0
split.by:All_cells\",\"Cell:GGCAATTTCCGAATGT
Exp:0
split.by:All_cells\",\"Cell:GATCGTAGTCCTAGCG
Exp:0.701
split.by:All_cells\",\"Cell:TGAGCATCAAGCCGCT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACAGTGG
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTAGCAGGCTA
Exp:0
split.by:All_cells\",\"Cell:CCACTACGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:GGAAAGCAGGCATGGT
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTAAAGTCA
Exp:0
split.by:All_cells\",\"Cell:TAAACCGAGTCGTACT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGTCATCGCTC
Exp:0
split.by:All_cells\",\"Cell:CACCACTCACGAAATA
Exp:0
split.by:All_cells\",\"Cell:CGTAGGCTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:TCGCGTTTCTCTGCTG
Exp:0
split.by:All_cells\",\"Cell:GGACAAGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGCCCAGCT
Exp:0
split.by:All_cells\",\"Cell:TCACGAATCCTATGTT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTGGCTCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:ATAACGCAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:ATTCTACTCAGGTAAA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCCAAGCGTAG
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGGCGTG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAAGTCCGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGAATGAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CACAGGCTCAAGATCC
Exp:1.194
split.by:All_cells\",\"Cell:ACGAGCCAGTTCGCAT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTTCGCCATAA
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGAGTACCG
Exp:0
split.by:All_cells\",\"Cell:AGCCTAAAGCCCAACC
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:AGTGGGACAGTATCTG
Exp:0
split.by:All_cells\",\"Cell:CAACCAATCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:TGTCCCATCTTGACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCCATCAGTCGTGC
Exp:0
split.by:All_cells\",\"Cell:GTTTCTAGTCCTCTTG
Exp:0
split.by:All_cells\",\"Cell:GCACATACATTACGAC
Exp:0
split.by:All_cells\",\"Cell:ATGGGAGTCGGTTCGG
Exp:0
split.by:All_cells\",\"Cell:ATAAGAGTCCGAACGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCGAAGCTTCGCG
Exp:0
split.by:All_cells\"]],\"marker\":{\"color\":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.87627452505493453,0,0,0,0,5.6298344785551917,0,0,3.4318927716865226,0,0,0,0,0,1.2133996752021774,6.8863884030564817,1.3522593762829056,0,0,0,4.7180091753826536,0,0,0,0,0,0,0,0,0,1.4175396885494673,0,0,0,0,1.2080246642368548,0,0.89008556501282066,0,0,0,0,0,0,1.7017070563516157,0,0,0,0,0,0.80830034771650705,1.1225042100928397,0,0,0,0,2.9465555933751828,0,0,0,0,0,0,0,0,1.0773404439212901,0,3.7465893999204338,4.6973766816695575,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.0128594247284151,6.4100702978542996,0,0,0,0,0,0.87139399335249101,0,0.61462791779182424,0,0,0.63022879389110731,0,0,0,0,0,0,0,0,1.5809383714395906,0,0,0,0.95374266355120374,0,0,1.0406888009504409,1.4867512592977243,0.84019947302087228,0,0,1.0022611579964082,0,5.3838662644037614,0.94896309719237015,0,0,0.71159438044482071,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.98543581922139767,0,0,0,0,0,0,0,0,0,6.6284993164500721,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.3939554986947349,0,0,0,0,0,0,0,6.0918725538269625,0,0,0,0,0,0,0,0,0,0,0,4.9206717423143003,7.2157755020672649,0.91428543362499481,0.5877155626392595,0.89742473889890884,0,0,0,0,0,0,0.80699214243868445,0,0.79923561626434947,0,0,0,0,0,0,1.4042984633847209,0,0,0,0,0,0,0,0,0.96931028411198716,0.54993354012258144,7.3272800641773079,0,0,0,1.2128182558075358,0.77071234804779842,0.79104077540998308,0,0,0.94567677673161155,0,0,1.032469395575333,0,0,0,1.021196356378167,0,0,0,0,0,0,0,1.0459286400024403,0,0,0,0,0,0,0,0,0,0,0,0,1.0091889777894387,0,0,0,0,0,0,0,0,0,0,0,3.0322973465941638,1.213649046084377,0,0,0,0,0,0,1.004449284717891,0,0,0,0,0,0,0,0,0,0,0,0.43167864954755164,0,0.93502183238512626,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.84034919194483326,0,0,6.4365381824725763,0,0,0,1.0292210133614934,0,0.84547345851286804,0,0,1.0153225148239047,0,0,0,1.127279729788248,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.0226763629472266,0,1.1173577438413458,0,0,0,0,4.5890672000776895,0,0,0,0.91590090923851564,0.96016336428788329,0,0,1.006427463443158,0,0,1.0421121707289513,0,0,0,0,0,0,0,0,1.1519957492279849,0.94567677673161155,0,0,0.92498815173192594,0,0,0,0,2.0116023783171677,0,0,0,0,0,5.4193729651171694,0,0,0,3.239848146014245,0,7.2316723806817214,0,0,0,0,3.3230885795743523,0,0,0,0,2.8539712990737973,0,0,0.87220339987194351,0,0,0,0,0,0,0,0,0,0,0,1.168999547848254,0,0,0.5993587058508304,0,0.60091734922642137,0,0.91321182887844676,0,0,0.91978492182607452,0,0,0,0,0.99147336914563378,0,0,0,0,0,0,0,0,0,0,2.1665334151719362,7.6856115775337406,0,0,0,0,1.6558038329920262,0.77215033120619725,0,0,0,0,0,0,0,0,0,0,0,0,0,1.2887148540684685,0,0,0.78593496187979373,0,0,0,0,0,0,3.0851433727617685,0,0,0,3.3129269921354418,0,0,0,0,0,0,0,0,0,4.9490396223967199,0,0,1.2053980215623117,0,0,0,0,0,0,1.1515517866236538,0,1.3636296676280373,0,0.61497895397427071,0,0,1.0454499165973181,0,0,0,0,0,0,0,0,0,0.75358655593192048,0,0,0,1.3733478759233073,0,0,0,0,0,0,0,0,0,0,0,1.5856553295390896,0,0,0,0,0,0.97451917011161227,0,0,0,1.0832516085436159,0,2.9878043908630678,0,0,0.78933110441286702,0,0,0,1.0155470764830179,0,0,0,0,0,0,0,0,0,0,0,0,0,0.75103591274236681,0,0.65177749580418498,0,0,0,5.8282565385163707,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.48970311399278116,0,2.9835851249142049,1.1807533782365882,0,0,0,6.2328736171499184,7.1138729807242758,0,0,0,0,0,0,0,0,0,0,0,0.87537541459707802,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.1857815173595507,0,0,0,0,0,0.59028644300949717,0,3.3495515898265613,3.8508929841636514,0,0,0,0,0,0,0.70073255194920192,0,0,0,0,0,0,0,0.80726718314111323,0,1.0087460326577822,0,2.3655768817662874,0,0,0.98365048305765057,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.8309573859626229,0,0,0,0,0,0,0,0,1.7138173987519436,0,0,0.99921505419020895,0,0.64113472037368935,0,0,0,0,0,0,1.5146846114272625,0,0,0,0,0.93221137493966544,0,0,0,0,0,0.7841836641684663,0,0,0,0.99019567208348713,0,5.4601001157450622,0.90384397182861509,0,0,0,0,0,0,0,0,1.0353886390763518,0,0,0,0,0,0,0,0,0,0,0,6.1503206526909384,0,0,0,0,0,0.90612271031731961,0.94886609062671501,0,0.93822906076465018,0,0,0,0,1.0232468372056946,0,0,0,1.1678537109942153,0,0.72150604512001415,1.1468396634338254,0,0.65398554985623958,0,0.56204801505165158,0,0,0,0,0,1.3989899366586993,0,0,0,0,0,0,0.99296852700923943,1.0196076935926301,0,0,0,0.99824019858334512,0,0,0,0,0,1.6880958603864995,0,0,0,6.4342841844280407,0,0,0,0,0.85881378322758406,0,0,0,6.189418374764041,1.0415185850879953,0.98010067069653617,0,0,0,0,1.2435541480171437,0,1.0642326957735531,0.97298089185342818,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6.2870875675840789,0,0,0,0,0,1.547767221842776,0,0,0,0,0,0,0,0,0,0,0,0,1.1279857976487269,0,0,0,0.84714550845394376,0.95423328540303509,0,0,0,0.59309780923218569,0,0,1.3348831839077311,0,6.1307731990250875,1.6588962618979448,0,0,0,0,0,7.1378837650236795,0,0,0,0,0,0,0,0,0,0,1.0968819541488015,0,0,0,0,0.67217738144145867,0,1.2215212745673165,2.3784869580120596,1.0075301025879813,0,0,0,0,0.8715557469389994,0,0,0,0,0.79728743981254224,0,0,0,1.276660057955822,0,0,0,0,0,0.85475728169107568,0,0,1.3556689090117737,0,0.59813988594398526,0,0,0,0.70134685195065383,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.1938945904110732,0,0,0,0,0,0,0,0,0,0,0,0,0,0],\"colorbar\":{\"title\":{\"text\":\"Ghrl\",\"font\":{\"color\":\"black\",\"size\":14}},\"len\":0.5},\"size\":1.5,\"showscale\":true}}],\"label\":\"Ghrl\"},{\"method\":\"update\",\"args\":[{\"text\":[[\"Cell:CAGCCGAAGCGATATA
Exp:0
split.by:All_cells\",\"Cell:AGTGTCATCGCCGTGA
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGTTGTAGA
Exp:0
split.by:All_cells\",\"Cell:CACAGTACATCCGTGG
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTCATTGGGCC
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTGTGTGACCC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:ACCGTAACAAGGTTCT
Exp:6.137
split.by:All_cells\",\"Cell:CCACTACAGGTGGGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGGTCCCTTGT
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTGTCTTCTCG
Exp:0
split.by:All_cells\",\"Cell:CCGTGGACACGAAGCA
Exp:0
split.by:All_cells\",\"Cell:GAACATCAGCAATATG
Exp:0
split.by:All_cells\",\"Cell:TTCTACACAGTCGATT
Exp:0.943
split.by:All_cells\",\"Cell:ACGGCCACACGTGAGA
Exp:0
split.by:All_cells\",\"Cell:CTCGTACAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CGTCTACAGATGCGAC
Exp:0
split.by:All_cells\",\"Cell:CTCACACGTCACACGC
Exp:1.153
split.by:All_cells\",\"Cell:AAAGCAACACGGTAAG
Exp:0
split.by:All_cells\",\"Cell:CATCGGGCACGTTGGC
Exp:0
split.by:All_cells\",\"Cell:ATCATCTGTGTTTGTG
Exp:0
split.by:All_cells\",\"Cell:CAAGGCCCAAGAAAGG
Exp:6.735
split.by:All_cells\",\"Cell:AGATCTGGTTCGGCAC
Exp:0
split.by:All_cells\",\"Cell:CTCTGGTCAAGACACG
Exp:6.733
split.by:All_cells\",\"Cell:TACAGTGTCCCTAACC
Exp:1.473
split.by:All_cells\",\"Cell:GGACAGATCAGCATGT
Exp:0
split.by:All_cells\",\"Cell:CACTCCACATATGGTC
Exp:0.849
split.by:All_cells\",\"Cell:GTTCATTGTTCCAACA
Exp:1.562
split.by:All_cells\",\"Cell:TAAGTGCCAATAGCAA
Exp:4.688
split.by:All_cells\",\"Cell:TACTCGCTCTTCGGTC
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTTCCTCGCAT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTGTCTAGAGG
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:CGAGCACTCTAACTCT
Exp:0
split.by:All_cells\",\"Cell:GATCGTAAGTGCAAGC
Exp:1.142
split.by:All_cells\",\"Cell:TGTCCCAGTCTCGTTC
Exp:4.039
split.by:All_cells\",\"Cell:CTTGGCTCAGCCACCA
Exp:0
split.by:All_cells\",\"Cell:GGGTCTGGTAAACCTC
Exp:0
split.by:All_cells\",\"Cell:CGGACTGTCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:GGTGCGTTCTGGTATG
Exp:5.861
split.by:All_cells\",\"Cell:TACCTTATCCGATATG
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCTCTATCGCC
Exp:0.872
split.by:All_cells\",\"Cell:GTACGTACATCGATGT
Exp:0
split.by:All_cells\",\"Cell:TCGTAGATCTTTACGT
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGAGAGTGAGA
Exp:0
split.by:All_cells\",\"Cell:AGCGTATTCTGCTGTC
Exp:0
split.by:All_cells\",\"Cell:GGACAAGTCATAACCG
Exp:0
split.by:All_cells\",\"Cell:ACATCAGTCCTTGGTC
Exp:0
split.by:All_cells\",\"Cell:CCAGCGACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:GGACAGAAGTGGAGAA
Exp:0
split.by:All_cells\",\"Cell:GACTACAAGCGTGTCC
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTAGAGCTG
Exp:7.393
split.by:All_cells\",\"Cell:GTTCTCGCAAGTCTAC
Exp:1.225
split.by:All_cells\",\"Cell:CGAATGTTCTTCATGT
Exp:0.961
split.by:All_cells\",\"Cell:CCGTGGACATTCCTGC
Exp:5.905
split.by:All_cells\",\"Cell:CTAATGGAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:AGCGGTCGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:GTATTCTTCACTTACT
Exp:0
split.by:All_cells\",\"Cell:CAGTCCTAGGTGGGTT
Exp:1.176
split.by:All_cells\",\"Cell:CGACTTCCACAACGTT
Exp:3.753
split.by:All_cells\",\"Cell:AAACGGGTCCGCGCAA
Exp:0
split.by:All_cells\",\"Cell:CTAGTGACATTGAGCT
Exp:0
split.by:All_cells\",\"Cell:CTCCTAGAGAGTGACC
Exp:0
split.by:All_cells\",\"Cell:GCAGTTATCTTGAGAC
Exp:0.87
split.by:All_cells\",\"Cell:CGAACATCAAGCGAGT
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGCGAAGGG
Exp:0
split.by:All_cells\",\"Cell:CATCGGGAGGCCCTTG
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGCTGCAAG
Exp:0
split.by:All_cells\",\"Cell:CAGAATCCACGCATCG
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGGTTGGACCC
Exp:0.916
split.by:All_cells\",\"Cell:CGGACACTCTATCCTA
Exp:0
split.by:All_cells\",\"Cell:CGTGTAATCATTATCC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAAGTTAAGATG
Exp:1.867
split.by:All_cells\",\"Cell:ATTTCTGTCCCTGACT
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAGTTGGACCC
Exp:0.788
split.by:All_cells\",\"Cell:CAGATCACAACCGCCA
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGCATTCCTCG
Exp:0
split.by:All_cells\",\"Cell:CCACGGACAGATGAGC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAAGAAGATTC
Exp:0
split.by:All_cells\",\"Cell:CATGACACAAAGTCAA
Exp:0
split.by:All_cells\",\"Cell:AACGTTGTCAGTTAGC
Exp:0
split.by:All_cells\",\"Cell:CTGGTCTAGGTGATTA
Exp:0
split.by:All_cells\",\"Cell:TCAGGATTCCAGTAGT
Exp:0
split.by:All_cells\",\"Cell:CATTATCGTCATATCG
Exp:0
split.by:All_cells\",\"Cell:GCGCAACAGTGTACCT
Exp:0
split.by:All_cells\",\"Cell:GTGCATACAATAGCAA
Exp:0
split.by:All_cells\",\"Cell:TTTACTGGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:GTAGTCAGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:CCTACACGTTCTCATT
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCTCAACACGT
Exp:0
split.by:All_cells\",\"Cell:CTAACTTGTAGGAGTC
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:GTAGGCCGTTACCAGT
Exp:5.123
split.by:All_cells\",\"Cell:TCTCATATCAGAGCTT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTGTCATACTG
Exp:0
split.by:All_cells\",\"Cell:GGGAATGTCGACCAGC
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCAGGGTTTCT
Exp:0
split.by:All_cells\",\"Cell:CGGACTGAGGTAGCTG
Exp:0
split.by:All_cells\",\"Cell:CAACCTCTCTCTGTCG
Exp:0
split.by:All_cells\",\"Cell:CTGAAACGTTCCCTTG
Exp:0
split.by:All_cells\",\"Cell:GTAGTCAGTACTCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCACCTATCC
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTACCGTTA
Exp:0
split.by:All_cells\",\"Cell:TTCTACAAGATCGATA
Exp:0
split.by:All_cells\",\"Cell:TCACAAGCACCGAAAG
Exp:0
split.by:All_cells\",\"Cell:TCGGGACGTCATCGGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGAGGAACTGC
Exp:1.094
split.by:All_cells\",\"Cell:CATATGGCATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:ATCATCTTCTGTCAAG
Exp:0.535
split.by:All_cells\",\"Cell:CCGTTCACAGTAGAGC
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTGTGGTCCGT
Exp:0.63
split.by:All_cells\",\"Cell:TTTGTCAGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:ATTATCCAGACCCACC
Exp:0
split.by:All_cells\",\"Cell:CACCACTCAATCTACG
Exp:0.933
split.by:All_cells\",\"Cell:GCGCGATGTCCGAATT
Exp:6.96
split.by:All_cells\",\"Cell:CATTATCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGCTAAGAT
Exp:0
split.by:All_cells\",\"Cell:GCGCGATTCGCGTAGC
Exp:0
split.by:All_cells\",\"Cell:CTACATTCACCGTTGG
Exp:0
split.by:All_cells\",\"Cell:TCATTTGCATTGGCGC
Exp:1.581
split.by:All_cells\",\"Cell:AGCAGCCCAGGAATGC
Exp:0
split.by:All_cells\",\"Cell:GGGATGAGTCTGCGGT
Exp:0
split.by:All_cells\",\"Cell:TGCGCAGTCTGCCAGG
Exp:0
split.by:All_cells\",\"Cell:AGCGTATTCTCGTATT
Exp:0
split.by:All_cells\",\"Cell:GTCTCGTAGATCTGCT
Exp:0
split.by:All_cells\",\"Cell:CAGAATCGTGTAAGTA
Exp:0.858
split.by:All_cells\",\"Cell:TGACTTTAGGTCATCT
Exp:0
split.by:All_cells\",\"Cell:GTGCATATCAGAGACG
Exp:2.518
split.by:All_cells\",\"Cell:TGGCCAGCACGAAAGC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCACAATGTTGC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACGTCTGATCA
Exp:0
split.by:All_cells\",\"Cell:CAGCGACAGATCACGG
Exp:1.002
split.by:All_cells\",\"Cell:AAAGATGAGTGAACAT
Exp:0.816
split.by:All_cells\",\"Cell:CTTCTCTGTCAGAGGT
Exp:0
split.by:All_cells\",\"Cell:ATTTCTGAGAAGATTC
Exp:0.949
split.by:All_cells\",\"Cell:CTCTAATTCACCATAG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTTCTTGTCAT
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGCTAGTCT
Exp:1.123
split.by:All_cells\",\"Cell:CCTAAAGTCATGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCACAGCTGTCTA
Exp:0
split.by:All_cells\",\"Cell:GAAATGACACATGACT
Exp:0
split.by:All_cells\",\"Cell:ACTGAGTAGGCTAGGT
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGAGCTGCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCACAGATCGGA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTTCTGGTGTA
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTCATACTCTT
Exp:0
split.by:All_cells\",\"Cell:ACTATCTGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCGATAGAA
Exp:0
split.by:All_cells\",\"Cell:GTTCTCGCAGCTGGCT
Exp:0
split.by:All_cells\",\"Cell:CATATGGAGGCCCGTT
Exp:0
split.by:All_cells\",\"Cell:ACTGAACAGCCTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGGTGCCT
Exp:0
split.by:All_cells\",\"Cell:CCCTCCTAGACCCACC
Exp:0.84
split.by:All_cells\",\"Cell:TTAACTCGTCCGAACC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCCATAAAGGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCAAACCAC
Exp:0
split.by:All_cells\",\"Cell:GTTCTCGGTTTGTGTG
Exp:0
split.by:All_cells\",\"Cell:ACATCAGTCCGTTGTC
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCCTTTCTC
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGCCAACAG
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGTAGGCCA
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCACTCGACG
Exp:1.139
split.by:All_cells\",\"Cell:AGCGTATCACGAGGTA
Exp:0
split.by:All_cells\",\"Cell:GGACAGAAGGCCGAAT
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCCACGTAAGG
Exp:0
split.by:All_cells\",\"Cell:TCCACACCAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:CACACCTGTCGCTTTC
Exp:0
split.by:All_cells\",\"Cell:GGCTCGAGTCGCTTCT
Exp:0
split.by:All_cells\",\"Cell:TGGCTGGCAGTGAGTG
Exp:0
split.by:All_cells\",\"Cell:GATGAAACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:TTCTTAGTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TCCCGATGTAAGTGTA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCTGCTGTC
Exp:0.853
split.by:All_cells\",\"Cell:GATCGCGAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGTGGTAGC
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTAAGAGAG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAGTTCGCTAA
Exp:1.481
split.by:All_cells\",\"Cell:CCATTCGGTGCTAGCC
Exp:0.91
split.by:All_cells\",\"Cell:CCACTACTCTTTAGTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTGAAATCA
Exp:0
split.by:All_cells\",\"Cell:ACCGTAATCTATCCCG
Exp:0
split.by:All_cells\",\"Cell:ACTTACTCAATACGCT
Exp:0.844
split.by:All_cells\",\"Cell:GAACGGATCACAACGT
Exp:0.902
split.by:All_cells\",\"Cell:CGGTTAAGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:CAAGAAACACTAGTAC
Exp:0
split.by:All_cells\",\"Cell:AGTTGGTGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:CGTCCATGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:CAGCTAACAACACGCC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACCATACGCTA
Exp:3.535
split.by:All_cells\",\"Cell:CTCGTACCAGCCAGAA
Exp:0
split.by:All_cells\",\"Cell:ATTATCCGTATAAACG
Exp:0
split.by:All_cells\",\"Cell:GTACTTTTCAGTTCGA
Exp:0
split.by:All_cells\",\"Cell:AGTAGTCCACATGACT
Exp:0
split.by:All_cells\",\"Cell:AGTGAGGTCTGTTGAG
Exp:1.109
split.by:All_cells\",\"Cell:TCTCATAAGCAGATCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGATCAGGATCT
Exp:0.812
split.by:All_cells\",\"Cell:AGCAGCCCAAGTCATC
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTACTTCTT
Exp:6.57
split.by:All_cells\",\"Cell:GTCCTCAAGTTCGATC
Exp:0
split.by:All_cells\",\"Cell:GCCAAATGTAAACACA
Exp:0
split.by:All_cells\",\"Cell:ACTTACTGTTTGGGCC
Exp:0.957
split.by:All_cells\",\"Cell:ACTTACTCACCGTTGG
Exp:4.927
split.by:All_cells\",\"Cell:CAGAGAGAGGACCACA
Exp:0.908
split.by:All_cells\",\"Cell:AAGACCTGTGGCTCCA
Exp:0.757
split.by:All_cells\",\"Cell:AACTTTCCACAGTCGC
Exp:0
split.by:All_cells\",\"Cell:CAGATCATCTCGATGA
Exp:0.588
split.by:All_cells\",\"Cell:TGTTCCGGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:GCGCCAAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTTCGCACTCT
Exp:0
split.by:All_cells\",\"Cell:GTAACTGTCAGTGCAT
Exp:1.09
split.by:All_cells\",\"Cell:CGGAGCTGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:CGCCAAGTCTAAGCCA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCATGTAGC
Exp:5.85
split.by:All_cells\",\"Cell:ATGCGATGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGACAGACC
Exp:0.799
split.by:All_cells\",\"Cell:GTCAAGTAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACAGTCACTA
Exp:0
split.by:All_cells\",\"Cell:TATCTCACATTGTGCA
Exp:3.257
split.by:All_cells\",\"Cell:CGTAGCGAGACTGTAA
Exp:0
split.by:All_cells\",\"Cell:ACGATGTGTCGCGGTT
Exp:0
split.by:All_cells\",\"Cell:CTCTGGTTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTAGTAAGTAC
Exp:1.404
split.by:All_cells\",\"Cell:CAGAATCCACAAGCCC
Exp:5.136
split.by:All_cells\",\"Cell:GTAACTGGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AACTTTCGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCAATCCGAT
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCAGTGTCCCG
Exp:6.653
split.by:All_cells\",\"Cell:TATTACCGTTGAGTTC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCATCAGAGCTT
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCGCCTGAG
Exp:0
split.by:All_cells\",\"Cell:TCGTACCCATATACGC
Exp:0.969
split.by:All_cells\",\"Cell:TGGTTCCGTTGATTCG
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTCATTCGACA
Exp:0
split.by:All_cells\",\"Cell:GGTGTTACATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CCTCTGACATCGGTTA
Exp:0
split.by:All_cells\",\"Cell:CTCTACGCACTAAGTC
Exp:0.842
split.by:All_cells\",\"Cell:CTCGGAGGTGAAGGCT
Exp:0
split.by:All_cells\",\"Cell:ACGTCAACAGACAAAT
Exp:0
split.by:All_cells\",\"Cell:TCGAGGCAGTTAACGA
Exp:0
split.by:All_cells\",\"Cell:CAAGTTGTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTACTTGAC
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTTCTTGAGGT
Exp:0
split.by:All_cells\",\"Cell:GCACATAAGCAATATG
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGTGACATA
Exp:1.53
split.by:All_cells\",\"Cell:TGTGGTACAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TAAGAGACAGTAGAGC
Exp:3.589
split.by:All_cells\",\"Cell:CACATTTTCGAGGTAG
Exp:5.156
split.by:All_cells\",\"Cell:AGACGTTCAATGGTCT
Exp:5.484
split.by:All_cells\",\"Cell:GGAACTTGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATGTTAAAGAC
Exp:0.947
split.by:All_cells\",\"Cell:TTGTAGGTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGATCTAGCACA
Exp:0
split.by:All_cells\",\"Cell:CGTAGCGTCACTATTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCACTGTGTA
Exp:0
split.by:All_cells\",\"Cell:TGCGCAGTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCGGAATCT
Exp:1.046
split.by:All_cells\",\"Cell:ACTGATGGTCGACTGC
Exp:0.921
split.by:All_cells\",\"Cell:CGTTCTGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CAGTAACAGCCACCTG
Exp:5.314
split.by:All_cells\",\"Cell:ACTGATGAGTGCAAGC
Exp:0
split.by:All_cells\",\"Cell:CTGCTGTGTTGTGGCC
Exp:0
split.by:All_cells\",\"Cell:GAGTCCGCAATTGCTG
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTAGCGTAATA
Exp:0
split.by:All_cells\",\"Cell:GTCATTTGTCTCAACA
Exp:0
split.by:All_cells\",\"Cell:GACTAACCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:GGTGAAGAGCAGGTCA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGTCTGATACG
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTCACCGAATT
Exp:0
split.by:All_cells\",\"Cell:CAGGTGCAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAAGCTACCTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCGTGCAGACA
Exp:6.473
split.by:All_cells\",\"Cell:ATGTGTGAGTTTGCGT
Exp:0
split.by:All_cells\",\"Cell:TCTATTGCAGTAAGCG
Exp:0
split.by:All_cells\",\"Cell:TTGGCAATCGGATGGA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGAGTCATCCA
Exp:0
split.by:All_cells\",\"Cell:CACCACTTCAGCTTAG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAGTATCGCAT
Exp:0
split.by:All_cells\",\"Cell:ACGGGCTAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAGTGTATGGG
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:GATCGATAGAAAGTGG
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCCAGGGCT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGTCCTACAGA
Exp:0
split.by:All_cells\",\"Cell:AGGGATGTCGCATGGC
Exp:0
split.by:All_cells\",\"Cell:TGCCCTACAATCACAC
Exp:0
split.by:All_cells\",\"Cell:CCCATACTCGTGGACC
Exp:0
split.by:All_cells\",\"Cell:GACTAACCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:TCACAAGAGCCACTAT
Exp:0
split.by:All_cells\",\"Cell:GGCAATTTCACATGCA
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCAGGAATGGA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:GCATGTAAGAATCTCC
Exp:5.872
split.by:All_cells\",\"Cell:GTTACAGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:GTTCGGGAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGTCTGGAGCC
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCGTTTAGG
Exp:0
split.by:All_cells\",\"Cell:GCATGCGCAAATTGCC
Exp:0
split.by:All_cells\",\"Cell:TCAACGACACCATCCT
Exp:0
split.by:All_cells\",\"Cell:CCTCTGATCATGTCTT
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCTTGAGAC
Exp:3.411
split.by:All_cells\",\"Cell:CGTCCATCATGGTAGG
Exp:0
split.by:All_cells\",\"Cell:TTAGTTCCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCAACACGT
Exp:0
split.by:All_cells\",\"Cell:CAGCAGCAGAGGTACC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGGTTCTCATT
Exp:1.036
split.by:All_cells\",\"Cell:CTAGCCTGTGCGATAG
Exp:0.993
split.by:All_cells\",\"Cell:GTGTGCGGTCTCCACT
Exp:0
split.by:All_cells\",\"Cell:GCATGATCATGCATGT
Exp:6.419
split.by:All_cells\",\"Cell:TACGGTATCCCATTTA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGAAGCTAGGCA
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTCGAGTTT
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTACGAAAT
Exp:0
split.by:All_cells\",\"Cell:GTATTCTTCAGGTAAA
Exp:0
split.by:All_cells\",\"Cell:TACCTATGTAACGTTC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGCAACGATGG
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTTCAGCACAT
Exp:0.937
split.by:All_cells\",\"Cell:TGCCAAACATGACATC
Exp:0.699
split.by:All_cells\",\"Cell:CTAAGACGTACTCTCC
Exp:2.554
split.by:All_cells\",\"Cell:CGATGGCTCAGTGTTG
Exp:0
split.by:All_cells\",\"Cell:CCAGCGACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:TGAGAGGAGCCAGGAT
Exp:0
split.by:All_cells\",\"Cell:AGAGCGACACAACTGT
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTCGAATCT
Exp:2.015
split.by:All_cells\",\"Cell:TTTGGTTTCCTTTCGG
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGTCCGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGATGATCTGTCCGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACATCCTAGA
Exp:0
split.by:All_cells\",\"Cell:GCACATATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:CATCCACCAGATGGGT
Exp:0.84
split.by:All_cells\",\"Cell:TGCCCTATCATAAAGG
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCACTTCC
Exp:1.117
split.by:All_cells\",\"Cell:GACAGAGCAGTCAGAG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTTCAGTCCCT
Exp:0
split.by:All_cells\",\"Cell:AATCGGTGTCACACGC
Exp:0
split.by:All_cells\",\"Cell:TACGGATAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGCAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:CCACGGAGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTATTG
Exp:1.355
split.by:All_cells\",\"Cell:AGATTGCCACCAGGCT
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:CACCAGGGTACCTACA
Exp:0
split.by:All_cells\",\"Cell:GGCCGATTCAGAGACG
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCTAAGCCA
Exp:0
split.by:All_cells\",\"Cell:GACTGCGGTCGCCATG
Exp:0
split.by:All_cells\",\"Cell:GAATGAACAGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:CGCTGGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTAATGGCATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGATCAATCTCT
Exp:3.673
split.by:All_cells\",\"Cell:AGTCTTTTCGTACGGC
Exp:0
split.by:All_cells\",\"Cell:TTCCCAGAGGATTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTCATCTCCCA
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTAGTGAATTG
Exp:2.156
split.by:All_cells\",\"Cell:TACCTATGTCCAACTA
Exp:0
split.by:All_cells\",\"Cell:TACTTGTAGACAAAGG
Exp:4.391
split.by:All_cells\",\"Cell:GTCCTCACACCACGTG
Exp:0
split.by:All_cells\",\"Cell:TAAACCGCATTCCTCG
Exp:0.497
split.by:All_cells\",\"Cell:AACACGTGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:TCAGCTCAGGCTATCT
Exp:0
split.by:All_cells\",\"Cell:CACAGTAGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGCACACATGT
Exp:0
split.by:All_cells\",\"Cell:ACGGCCACACGCTTTC
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCATTCCTGC
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCAGGTTCA
Exp:0
split.by:All_cells\",\"Cell:TGAGGGACAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:TACGGTATCTTTCCTC
Exp:4.099
split.by:All_cells\",\"Cell:GATCGCGAGCGTTGCC
Exp:0
split.by:All_cells\",\"Cell:CAGCGACCACAGGAGT
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGCTTGC
Exp:0
split.by:All_cells\",\"Cell:GTCACGGCATACTACG
Exp:1.042
split.by:All_cells\",\"Cell:AAGGCAGTCCGAGCCA
Exp:0.89
split.by:All_cells\",\"Cell:GGACAGATCCTGCAGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTCCATCCT
Exp:0.822
split.by:All_cells\",\"Cell:AACTTTCCACTGCCAG
Exp:0.901
split.by:All_cells\",\"Cell:ACCAGTAGTCATGCCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGAGTGCACCAC
Exp:0.969
split.by:All_cells\",\"Cell:AACACGTGTGACTCAT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTGCGGCA
Exp:0
split.by:All_cells\",\"Cell:GGCGACTCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTAGCTGCCCA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCAAACAACA
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTACATCCA
Exp:0
split.by:All_cells\",\"Cell:CATGGCGAGAGTCTGG
Exp:0
split.by:All_cells\",\"Cell:CGTGTAATCGTTGACA
Exp:0
split.by:All_cells\",\"Cell:CGATCGGAGCTGCAAG
Exp:1.203
split.by:All_cells\",\"Cell:TGCACCTAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:GAACGGACAAGGTGTG
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGGGTGAAGGTGCAAC
Exp:0.988
split.by:All_cells\",\"Cell:CTACACCCAGGGCATA
Exp:0.927
split.by:All_cells\",\"Cell:AAGCCGCGTTATCCGA
Exp:1.137
split.by:All_cells\",\"Cell:AAGCCGCTCTTGCATT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTCCAGG
Exp:0
split.by:All_cells\",\"Cell:AAGTCTGGTCTCCATC
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTGTGTAAGTA
Exp:0
split.by:All_cells\",\"Cell:CGCTATCAGGTGATAT
Exp:5.416
split.by:All_cells\",\"Cell:AACTCTTAGCTAACAA
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGGTAGTACCT
Exp:4.596
split.by:All_cells\",\"Cell:GGGTCTGCAGCAGTTT
Exp:0
split.by:All_cells\",\"Cell:CGTAGGCCAACACCCG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACTCTACCTGC
Exp:0
split.by:All_cells\",\"Cell:CATCGAAAGATGTTAG
Exp:0.903
split.by:All_cells\",\"Cell:GCAATCACAGCTGCTG
Exp:0
split.by:All_cells\",\"Cell:AACACGTAGTAATCCC
Exp:0
split.by:All_cells\",\"Cell:GATCTAGCATCACCCT
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTTCGG
Exp:6.061
split.by:All_cells\",\"Cell:TGTGGTAGTTAGAACA
Exp:5.461
split.by:All_cells\",\"Cell:GAGCAGAAGCCAGTTT
Exp:1.089
split.by:All_cells\",\"Cell:CTCGAGGGTAAGTAGT
Exp:1.113
split.by:All_cells\",\"Cell:GGACAGAGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGGATATAC
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTATAATGG
Exp:0.872
split.by:All_cells\",\"Cell:CTTCTCTCATGCGCAC
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:GTACTCCGTAGCGATG
Exp:0
split.by:All_cells\",\"Cell:CTGTGCTCAGCTCCGA
Exp:1.08
split.by:All_cells\",\"Cell:CCTTCGATCAAGAAGT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACACGGTAAG
Exp:0
split.by:All_cells\",\"Cell:CAACCAAAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAAGTGGTAAT
Exp:0
split.by:All_cells\",\"Cell:CGAATGTAGTTCCACA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGACAATCGGTT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCCAGTATG
Exp:0
split.by:All_cells\",\"Cell:TTCTTAGTCGGCGCTA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCTGACCTC
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTCCACTC
Exp:0.599
split.by:All_cells\",\"Cell:TAAACCGAGGATGGAA
Exp:0
split.by:All_cells\",\"Cell:CTTACCGCAAAGTCAA
Exp:0.601
split.by:All_cells\",\"Cell:CGGTTAATCGTCTGAA
Exp:0
split.by:All_cells\",\"Cell:CTCGTCATCGGTCTAA
Exp:0
split.by:All_cells\",\"Cell:GTTAAGCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAATCTGCA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGCGTCTAT
Exp:0
split.by:All_cells\",\"Cell:TGGACGCGTATTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCACGGAAGATCCTGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTTTAGGG
Exp:5.028
split.by:All_cells\",\"Cell:CAGTAACCATGCCTAA
Exp:0.861
split.by:All_cells\",\"Cell:AGTAGTCAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCCACCTTGTC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTGTATATCCG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACGCGTAGACGCACA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTGTGATAAGT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCACAAGCCC
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCGGCACA
Exp:4.124
split.by:All_cells\",\"Cell:TGCGTGGTCTTTACGT
Exp:0.968
split.by:All_cells\",\"Cell:CATCAGATCATCGCTC
Exp:1.577
split.by:All_cells\",\"Cell:CTTGGCTCATCCCACT
Exp:4.219
split.by:All_cells\",\"Cell:AGCATACGTCGCGAAA
Exp:0
split.by:All_cells\",\"Cell:CTTAACTGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:GTTTCTATCAACGGCC
Exp:3.683
split.by:All_cells\",\"Cell:GAGGTGAGTGACAAAT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCGTTATGTGC
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTAGGTGCTAG
Exp:0
split.by:All_cells\",\"Cell:GAATGAACAATCGAAA
Exp:0
split.by:All_cells\",\"Cell:CCTACACAGATCCGAG
Exp:0
split.by:All_cells\",\"Cell:GATGCTACAAGCGCTC
Exp:0
split.by:All_cells\",\"Cell:GTTACAGTCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGACCTTTG
Exp:0
split.by:All_cells\",\"Cell:GACTACACATATGAGA
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAAGTGGTCCC
Exp:0
split.by:All_cells\",\"Cell:CGTTAGATCAGTCAGT
Exp:0.939
split.by:All_cells\",\"Cell:GTGCTTCTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:GATGAGGAGAAACCTA
Exp:4.766
split.by:All_cells\",\"Cell:GAAATGATCTTCAACT
Exp:2.499
split.by:All_cells\",\"Cell:GCTCCTAGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCATGCAAC
Exp:4.628
split.by:All_cells\",\"Cell:CGACCTTCACACAGAG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTACGCACC
Exp:4.64
split.by:All_cells\",\"Cell:GCACTCTTCCGGCACA
Exp:0
split.by:All_cells\",\"Cell:GTACTCCTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:CACATAGTCATTGCGA
Exp:6.349
split.by:All_cells\",\"Cell:CTGAAACGTATGGTTC
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCAGTCTCAAC
Exp:0
split.by:All_cells\",\"Cell:CCTTTCTTCTTCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACGTAGCGCAA
Exp:0
split.by:All_cells\",\"Cell:TTGGAACGTCCGTTAA
Exp:0
split.by:All_cells\",\"Cell:CATTATCAGCTCCCAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGTCCATAACCTG
Exp:0.913
split.by:All_cells\",\"Cell:GTGCAGCTCGTTTATC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACCTCAGCGTGAAC
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACCGTTA
Exp:0
split.by:All_cells\",\"Cell:CGATTGAAGTTAGCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:GGACGTCCAGTATCTG
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGTCGGAT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGGTCATCT
Exp:0
split.by:All_cells\",\"Cell:CAAGGCCTCGTACCGG
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:GCAAACTTCGGAATCT
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCACGGTGTC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGTCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCATCGGAT
Exp:0
split.by:All_cells\",\"Cell:TGGTTAGCAGTCGTGC
Exp:0
split.by:All_cells\",\"Cell:CTCTAATAGTTATCGC
Exp:1.182
split.by:All_cells\",\"Cell:AACTCTTAGCTGCGAA
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCACGAAGG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTGTAGTGAAT
Exp:0
split.by:All_cells\",\"Cell:GGGTTGCTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:ATCCGAACACGGTAGA
Exp:0.778
split.by:All_cells\",\"Cell:TTCTCAATCACTCCTG
Exp:2.013
split.by:All_cells\",\"Cell:ACTGATGTCCCTAACC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTGTCTAAACC
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGTCGACGGAA
Exp:0
split.by:All_cells\",\"Cell:AAATGCCAGACTAAGT
Exp:6.37
split.by:All_cells\",\"Cell:TACGGGCAGATTACCC
Exp:0.862
split.by:All_cells\",\"Cell:AACTCTTCATTTGCCC
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGTCGCCGTGA
Exp:2.757
split.by:All_cells\",\"Cell:CACATAGAGGGAAACA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGCATCGTCGG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTCCTAGCG
Exp:0.741
split.by:All_cells\",\"Cell:AAGGCAGCAGTACACT
Exp:1.142
split.by:All_cells\",\"Cell:TGGTTCCTCAACCATG
Exp:0
split.by:All_cells\",\"Cell:GTGTTAGAGTTTCCTT
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTAGTACTTGC
Exp:0
split.by:All_cells\",\"Cell:CACATTTGTATAGTAG
Exp:0
split.by:All_cells\",\"Cell:GTGCATAAGAATGTTG
Exp:0
split.by:All_cells\",\"Cell:GGACATTAGAAACCAT
Exp:0
split.by:All_cells\",\"Cell:TCTCTAAGTGGCAAAC
Exp:0
split.by:All_cells\",\"Cell:ACGATACTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGCACGAAATA
Exp:5.525
split.by:All_cells\",\"Cell:CATGACACATCCGCGA
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCAGGGTGTTG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTTCGGCGCAT
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCGTGCGATAG
Exp:0
split.by:All_cells\",\"Cell:CGTTGGGGTTTAAGCC
Exp:0
split.by:All_cells\",\"Cell:AACTCAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTAGATCGATA
Exp:0.938
split.by:All_cells\",\"Cell:CGTTCTGTCACAATGC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTCAGCTAT
Exp:1.021
split.by:All_cells\",\"Cell:ATGCGATAGAAACGAG
Exp:0
split.by:All_cells\",\"Cell:TATGCCCTCTTCCTTC
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCGGAAACG
Exp:0
split.by:All_cells\",\"Cell:CGATGGCCAACTGGCC
Exp:5.981
split.by:All_cells\",\"Cell:CAGCCGAGTAGCCTAT
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTGGTGTAG
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCTCAAACG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCCAAGTAC
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCAGCAACGGT
Exp:0
split.by:All_cells\",\"Cell:CCTACACCATTATCTC
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCTGTTTGT
Exp:0.964
split.by:All_cells\",\"Cell:CCATGTCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CAGCCGAAGTAGGTGC
Exp:0.528
split.by:All_cells\",\"Cell:TGACGGCGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:ACTGATGCACATGACT
Exp:1.742
split.by:All_cells\",\"Cell:ATCATCTGTAGGACAC
Exp:0
split.by:All_cells\",\"Cell:ATCTGCCGTCATATGC
Exp:0.896
split.by:All_cells\",\"Cell:TACACGAAGATCCCAT
Exp:0
split.by:All_cells\",\"Cell:CATCCACGTTACGACT
Exp:5.63
split.by:All_cells\",\"Cell:AGATCTGCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCAATCCAAC
Exp:0.587
split.by:All_cells\",\"Cell:GGGCACTCAATGAAAC
Exp:0
split.by:All_cells\",\"Cell:GTGCTTCTCACGACTA
Exp:5.36
split.by:All_cells\",\"Cell:GATCGTACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGAACAACT
Exp:0
split.by:All_cells\",\"Cell:CTACACCCATCAGTCA
Exp:6.144
split.by:All_cells\",\"Cell:AACACGTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCATCAGTTCGA
Exp:0
split.by:All_cells\",\"Cell:ATAGACCAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACACGCAGTATGACA
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCCATGATCCA
Exp:0
split.by:All_cells\",\"Cell:CGTCTACTCAGTCCCT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTCACTACAGT
Exp:5.156
split.by:All_cells\",\"Cell:GATCAGTTCCCGGATG
Exp:1
split.by:All_cells\",\"Cell:GATCTAGGTGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGGTCAGATAA
Exp:5.796
split.by:All_cells\",\"Cell:CTCGTACGTTGGTTTG
Exp:1.104
split.by:All_cells\",\"Cell:TTGGCAATCGAACGGA
Exp:0
split.by:All_cells\",\"Cell:CATCGAAGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTCAACTGT
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTCAAAGTGCG
Exp:0.699
split.by:All_cells\",\"Cell:GAAGCAGGTCTAGAGG
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTGTGCGCTTG
Exp:6.552
split.by:All_cells\",\"Cell:ATTCTACGTTTAGGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAATGCACATTTCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCCTGCTTG
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGAGCCCAA
Exp:0
split.by:All_cells\",\"Cell:GTGCAGCGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACGTTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTTCATTCACT
Exp:0
split.by:All_cells\",\"Cell:GATGCTATCCCTCTTT
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGTCAACGCTA
Exp:0.556
split.by:All_cells\",\"Cell:TTAACTCCACGCCAGT
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTTCTGATTCT
Exp:1.765
split.by:All_cells\",\"Cell:GCTGGGTCACGAGGTA
Exp:0
split.by:All_cells\",\"Cell:TCTATTGGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:TCACGAACAGGCGATA
Exp:1.046
split.by:All_cells\",\"Cell:CGAACATTCACAAACC
Exp:0
split.by:All_cells\",\"Cell:TCTATTGTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGACACTAA
Exp:0
split.by:All_cells\",\"Cell:GCGAGAAGTGGGTATG
Exp:0
split.by:All_cells\",\"Cell:TTCTCAAAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGTCTGTTGAG
Exp:0.878
split.by:All_cells\",\"Cell:ACATACGAGCTATGCT
Exp:1.058
split.by:All_cells\",\"Cell:ACGATACAGTCATCCA
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTTCATGGT
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCACGAGAGT
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGAGGCACATG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATTCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAATCGCAAACT
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGCATACTCTT
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATATGGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGCGTGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCCGCGCAA
Exp:0
split.by:All_cells\",\"Cell:CCTTCCCCAAAGTGCG
Exp:0
split.by:All_cells\",\"Cell:GTAACTGAGCCGGTAA
Exp:4.222
split.by:All_cells\",\"Cell:AGCATACCAATGCCAT
Exp:0.996
split.by:All_cells\",\"Cell:CATCAAGGTGGTCTCG
Exp:3.386
split.by:All_cells\",\"Cell:AGTCTTTGTCTCGTTC
Exp:0.874
split.by:All_cells\",\"Cell:CTGATAGAGCTCAACT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCTCGTCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCTCCAACC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAACATGGTCTA
Exp:5.28
split.by:All_cells\",\"Cell:GTTCATTAGGGTCTCC
Exp:0
split.by:All_cells\",\"Cell:GCGACCATCACCAGGC
Exp:0
split.by:All_cells\",\"Cell:GTACTTTCATGGTCAT
Exp:0
split.by:All_cells\",\"Cell:TCAGCAAAGCGATGAC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAGACCATCTTATCTG
Exp:0
split.by:All_cells\",\"Cell:AGACGTTAGCCGATTT
Exp:0
split.by:All_cells\",\"Cell:GAACCTACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:CCAATCCAGAGTAAGG
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTACAGTTC
Exp:0.737
split.by:All_cells\",\"Cell:CAGGTGCGTACAAGTA
Exp:0
split.by:All_cells\",\"Cell:GCTCCTATCTCACATT
Exp:0
split.by:All_cells\",\"Cell:TATCAGGCACCAGTTA
Exp:0
split.by:All_cells\",\"Cell:TGCTACCCATAAGACA
Exp:1.186
split.by:All_cells\",\"Cell:GATTCAGAGTACGTTC
Exp:0
split.by:All_cells\",\"Cell:CGGACTGCATCCCATC
Exp:0
split.by:All_cells\",\"Cell:GCGCCAACACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:AGGTCATTCTGCGTAA
Exp:1.008
split.by:All_cells\",\"Cell:CTACCCAGTCAAACTC
Exp:0
split.by:All_cells\",\"Cell:TGGCCAGAGCTACCTA
Exp:0
split.by:All_cells\",\"Cell:TGTCCCACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGAGGAATTAC
Exp:0
split.by:All_cells\",\"Cell:TACAGTGAGCGTTTAC
Exp:0.91
split.by:All_cells\",\"Cell:CGATTGAAGTCTTGCA
Exp:0.9
split.by:All_cells\",\"Cell:TTCGGTCGTCACAAGG
Exp:0
split.by:All_cells\",\"Cell:GTCTCGTCACGTGAGA
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTCAGCATACT
Exp:0
split.by:All_cells\",\"Cell:GCTTGAACATTTGCTT
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTGTTAAAGAC
Exp:0.887
split.by:All_cells\",\"Cell:GCTCTGTTCGCTTAGA
Exp:0
split.by:All_cells\",\"Cell:GATCAGTAGGTTCCTA
Exp:0.81
split.by:All_cells\",\"Cell:GTACTTTAGATATGCA
Exp:1.16
split.by:All_cells\",\"Cell:ATGTGTGTCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:TCAGATGGTAGATTAG
Exp:6.839
split.by:All_cells\",\"Cell:TGTCCCAAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCTCAGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CTAAGACTCACTCCTG
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCTTAGAGC
Exp:0
split.by:All_cells\",\"Cell:CACACCTCATTGTGCA
Exp:1.127
split.by:All_cells\",\"Cell:TTAGGCAGTAGCGTAG
Exp:0
split.by:All_cells\",\"Cell:ACTGAACAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGATGGGTC
Exp:0.791
split.by:All_cells\",\"Cell:GGAAAGCGTACGCACC
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CCCTCCTGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTGTGAATA
Exp:0
split.by:All_cells\",\"Cell:TCGGTAACAGGGTACA
Exp:1.073
split.by:All_cells\",\"Cell:AGGGAGTCACCGAATT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTAGGAGTC
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGACGCTTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCTTCAAG
Exp:0
split.by:All_cells\",\"Cell:ATAAGAGTCCACGTTC
Exp:0
split.by:All_cells\",\"Cell:GATCGTAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTAAACT
Exp:0
split.by:All_cells\",\"Cell:CACCACTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCCACTCTGTC
Exp:0.961
split.by:All_cells\",\"Cell:GCATGTATCACGATGT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGATGGGTC
Exp:0
split.by:All_cells\",\"Cell:CGCGTTTGTATTACCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCAGGTGTTAA
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCATTCTCAT
Exp:0.942
split.by:All_cells\",\"Cell:CACAGTATCAGAGGTG
Exp:0
split.by:All_cells\",\"Cell:TTCGAAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGGTGATGCCC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGTCCAGAGGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGACAGTAAGAT
Exp:0
split.by:All_cells\",\"Cell:CATCGAAGTAGCGTCC
Exp:5.049
split.by:All_cells\",\"Cell:TGGACGCTCTTGTTTG
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGGTCACCTAA
Exp:1.027
split.by:All_cells\",\"Cell:CGTCAGGCAAACGCGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:GCGACCACACGTTGGC
Exp:1.02
split.by:All_cells\",\"Cell:CCATGTCGTTTGCATG
Exp:0
split.by:All_cells\",\"Cell:TGCCAAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGGTAGCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGAGAACAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACTAGAGCTTCGCG
Exp:0
split.by:All_cells\",\"Cell:CGGACTGCAGCCAATT
Exp:7.169
split.by:All_cells\",\"Cell:GACCAATAGCCGGTAA
Exp:0.815
split.by:All_cells\",\"Cell:GGACGTCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:AGGTCCGAGTTACCCA
Exp:0
split.by:All_cells\",\"Cell:GGAAAGCGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:CCGGGATGTACCGCTG
Exp:0
split.by:All_cells\",\"Cell:CATCCACAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:CGCTATCCAGGCAGTA
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACACTGTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTTCTCGTATT
Exp:4.114
split.by:All_cells\",\"Cell:CGGACGTAGACAGACC
Exp:0
split.by:All_cells\",\"Cell:AGTTGGTTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTCCAGTAT
Exp:0
split.by:All_cells\",\"Cell:TATGCCCAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATGACATC
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGCACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:ACCCACTTCTGAGGGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCTCGTTGCCT
Exp:0
split.by:All_cells\",\"Cell:ACGATGTTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TGACAACTCGCACTCT
Exp:0
split.by:All_cells\",\"Cell:GACGCGTCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CATATGGTCAACACAC
Exp:0.575
split.by:All_cells\",\"Cell:AGTGGGAGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ATTGGTGTCCAGTATG
Exp:0
split.by:All_cells\",\"Cell:GATGCTAAGCGATAGC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:TTCTCAACAGTTTACG
Exp:0.899
split.by:All_cells\",\"Cell:TCACAAGAGCATGGCA
Exp:0.99
split.by:All_cells\",\"Cell:GGAATAACACGACGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAGATGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:AACTTTCGTGACCAAG
Exp:0
split.by:All_cells\",\"Cell:CGAGAAGCACTTACGA
Exp:0
split.by:All_cells\",\"Cell:AACTCCCAGTACGACG
Exp:5.145
split.by:All_cells\",\"Cell:CGTTAGAAGTATCTCG
Exp:0
split.by:All_cells\",\"Cell:CCTATTACAAACGTGG
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTAGATCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCATTCGCAAGCCATT
Exp:5.732
split.by:All_cells\",\"Cell:GTATCTTGTACTCAAC
Exp:0.916
split.by:All_cells\",\"Cell:TGCTACCCAGGGCATA
Exp:0
split.by:All_cells\",\"Cell:GGAACTTAGGTTACCT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCAGCTAGTCT
Exp:0.794
split.by:All_cells\",\"Cell:TTAGGACGTTCAGTAC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCATCACATAGC
Exp:2.825
split.by:All_cells\",\"Cell:CTTTGCGAGGAATGGA
Exp:0
split.by:All_cells\",\"Cell:ATTATCCCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCAACTGCGC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCAAAGAATC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTAGTCTCGGC
Exp:0
split.by:All_cells\",\"Cell:TCTGGAAGTCATCGGC
Exp:0
split.by:All_cells\",\"Cell:AAATGCCCACCAACCG
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCGCTTGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGTTACACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGCAAGTCTGT
Exp:0
split.by:All_cells\",\"Cell:CGGACTGTCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTCAAATTGCC
Exp:6.059
split.by:All_cells\",\"Cell:ATTGGTGGTACTTGAC
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGAGTTGGC
Exp:4.643
split.by:All_cells\",\"Cell:CGGCTAGGTAACGACG
Exp:0.963
split.by:All_cells\",\"Cell:AAAGATGAGTCATGCT
Exp:4.015
split.by:All_cells\",\"Cell:GTACTCCCACGTCTCT
Exp:0.93
split.by:All_cells\",\"Cell:TTGAACGAGGAATCGC
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCGATAGAA
Exp:1.311
split.by:All_cells\",\"Cell:CTCTAATTCAGCGACC
Exp:0
split.by:All_cells\",\"Cell:TATGCCCAGAACAATC
Exp:0
split.by:All_cells\",\"Cell:AACCATGGTTGAACTC
Exp:0
split.by:All_cells\",\"Cell:CAGCATAGTAATAGCA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTTCCTCAATT
Exp:5.314
split.by:All_cells\",\"Cell:CTCAGAATCTGGCGAC
Exp:0
split.by:All_cells\",\"Cell:ATCACGATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:GAGCAGAGTTTGCATG
Exp:1.839
split.by:All_cells\",\"Cell:TGCACCTAGATAGTCA
Exp:0
split.by:All_cells\",\"Cell:CAGCCGAAGTGACTCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCTGGTATG
Exp:0
split.by:All_cells\",\"Cell:AGCTCCTAGTACACCT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGCGATGAC
Exp:0
split.by:All_cells\",\"Cell:TCCACACTCACGATGT
Exp:0.995
split.by:All_cells\",\"Cell:TCAGATGCACGACGAA
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCAACACTG
Exp:0
split.by:All_cells\",\"Cell:CTTAGGACATCTATGG
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAAGTAGATGT
Exp:0
split.by:All_cells\",\"Cell:ATCTACTGTGAACCTT
Exp:0.924
split.by:All_cells\",\"Cell:CGATGTAGTGGTACAG
Exp:0
split.by:All_cells\",\"Cell:CTAGCCTGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTGAGTGT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTGACAT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCTCCATGAGT
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAGTACCGAGA
Exp:0
split.by:All_cells\",\"Cell:ACTGAGTGTTTCGCTC
Exp:0
split.by:All_cells\",\"Cell:AGAGCGATCTCTTGAT
Exp:0
split.by:All_cells\",\"Cell:GAAGCAGTCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:GTCGTAAAGGTGATTA
Exp:0
split.by:All_cells\",\"Cell:CACACTCAGGCGCTCT
Exp:0
split.by:All_cells\",\"Cell:TGGGAAGGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CGCGGTACATTAGGCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAAAGAATGTGT
Exp:1.338
split.by:All_cells\",\"Cell:CATGCCTGTTCGTCTC
Exp:6.059
split.by:All_cells\",\"Cell:CTGGTCTTCGTTACAG
Exp:0
split.by:All_cells\",\"Cell:TCTCTAAAGCTGGAAC
Exp:4.824
split.by:All_cells\",\"Cell:CGGTTAAAGTAGCGGT
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CCTTACGCAAGGTGTG
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCACGAAGCA
Exp:0
split.by:All_cells\",\"Cell:CAACCTCGTCTAAACC
Exp:0
split.by:All_cells\",\"Cell:AGCGGTCGTACCGAGA
Exp:1.323
split.by:All_cells\",\"Cell:CTCGTCATCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:GGCCGATGTCAAACTC
Exp:0
split.by:All_cells\",\"Cell:TTCTACAGTGTTGAGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGAGCGCCTTG
Exp:5.795
split.by:All_cells\",\"Cell:GATCGATCAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TTGGCAACATCATCCC
Exp:0
split.by:All_cells\",\"Cell:TTTATGCTCCATTCTA
Exp:0
split.by:All_cells\",\"Cell:AACTTTCAGGCATTGG
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCAGATGGCGT
Exp:0
split.by:All_cells\",\"Cell:TACGGTAGTGTGCCTG
Exp:6.468
split.by:All_cells\",\"Cell:ACTGCTCAGATATGCA
Exp:0.724
split.by:All_cells\",\"Cell:GGCGTGTTCGTGGGAA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCAGGAGTTGC
Exp:2.958
split.by:All_cells\",\"Cell:CTGAAACAGGAGTAGA
Exp:0
split.by:All_cells\",\"Cell:CATGGCGAGCCCTAAT
Exp:0
split.by:All_cells\",\"Cell:ACATGGTCAAGGACTG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCTCTAGC
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCAAAGAATC
Exp:0.589
split.by:All_cells\",\"Cell:GCTCTGTAGCCACCTG
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCACAGGCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGTCATCGATG
Exp:1.4
split.by:All_cells\",\"Cell:AAGACCTAGGTGTGGT
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACACGGCCAT
Exp:0
split.by:All_cells\",\"Cell:CGTGTAATCCATGCTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGCATCAGTAC
Exp:1.116
split.by:All_cells\",\"Cell:GGGATGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTCGTACGTTCCGTCT
Exp:0.745
split.by:All_cells\",\"Cell:ACGAGGACATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ATCTGCCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGAGCAATT
Exp:0
split.by:All_cells\",\"Cell:CACACAACACACTGCG
Exp:0
split.by:All_cells\",\"Cell:TAGGCATTCGTTGCCT
Exp:6.055
split.by:All_cells\",\"Cell:TCTCTAATCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:ACACCCTGTCAGATAA
Exp:0
split.by:All_cells\",\"Cell:AGATCTGTCGATCCCT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTTCTCGCTTG
Exp:0
split.by:All_cells\",\"Cell:CTACGTCAGTCTCGGC
Exp:1.082
split.by:All_cells\",\"Cell:CATCCACTCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TCTCATACAGATCTGT
Exp:0
split.by:All_cells\",\"Cell:CACACCTCACTGCCAG
Exp:0
split.by:All_cells\",\"Cell:CTCGTACCAATGGATA
Exp:0
split.by:All_cells\",\"Cell:ACACCAAAGTAGGCCA
Exp:6.272
split.by:All_cells\",\"Cell:TACACGAGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGTATTGGA
Exp:0
split.by:All_cells\",\"Cell:AGACGTTTCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTGTGAATA
Exp:0
split.by:All_cells\",\"Cell:GCACTCTGTCTGCAAT
Exp:0
split.by:All_cells\",\"Cell:TGTGGTACAAGACGTG
Exp:0.533
split.by:All_cells\",\"Cell:AGGCCGTCACGACGAA
Exp:1.333
split.by:All_cells\",\"Cell:TATGCCCTCTTACCTA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATGTTGAC
Exp:0.947
split.by:All_cells\",\"Cell:AGTCTTTCACGGACAA
Exp:0
split.by:All_cells\",\"Cell:GTCGGGTGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCGTAGGTT
Exp:0
split.by:All_cells\",\"Cell:CGTCTACGTTTCCACC
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCAGACATAAC
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGAGTGGAGAA
Exp:1.014
split.by:All_cells\",\"Cell:CTGATAGTCGGCTACG
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACGTCCATCCT
Exp:0
split.by:All_cells\",\"Cell:CATGACAGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:GACCAATAGAATGTGT
Exp:6.176
split.by:All_cells\",\"Cell:CAGCGACCATATGGTC
Exp:0
split.by:All_cells\",\"Cell:TGCTGCTGTCCGTCAG
Exp:0
split.by:All_cells\",\"Cell:TCAGATGCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:TATCAGGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:GGGAATGGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:TAGTTGGAGTCAAGCG
Exp:0
split.by:All_cells\",\"Cell:TACCTATTCGTTACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGAGGGAAGCCGGTAA
Exp:4.768
split.by:All_cells\",\"Cell:CGTGTCTTCCTTTCGG
Exp:0
split.by:All_cells\",\"Cell:TGATTTCAGTGGAGTC
Exp:2.313
split.by:All_cells\",\"Cell:CTAACTTAGATCACGG
Exp:3.458
split.by:All_cells\",\"Cell:CATCAGAGTCCGAATT
Exp:0
split.by:All_cells\",\"Cell:GAAATGATCGTCCGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCCACTCCA
Exp:0
split.by:All_cells\",\"Cell:GTTCGGGAGGCAATTA
Exp:0
split.by:All_cells\",\"Cell:GCGCCAATCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:AGTGGGATCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:CGACTTCGTTGATTCG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTAACGACG
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCTCTTCCTTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:AAGGAGCAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:TACTTACGTGTGGCTC
Exp:0
split.by:All_cells\",\"Cell:ATGCGATTCGCGTAGC
Exp:0
split.by:All_cells\",\"Cell:ATTGGACAGTCAAGGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGTCCGCTGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTAGACGCACA
Exp:0
split.by:All_cells\",\"Cell:ATGAGGGGTTCTGGTA
Exp:0
split.by:All_cells\",\"Cell:CGACCTTAGCTGCCCA
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTGCCTGCA
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:GTATTCTAGGTGCTTT
Exp:0
split.by:All_cells\",\"Cell:TCTGGAATCGGTGTCG
Exp:0
split.by:All_cells\",\"Cell:GACGTTAAGACGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCGTAGAGGACGG
Exp:0
split.by:All_cells\",\"Cell:ATGAGGGCAAGGTTTC
Exp:1.712
split.by:All_cells\",\"Cell:GTGCGGTCAAAGCAAT
Exp:1.222
split.by:All_cells\",\"Cell:CATCGGGTCATTTGGG
Exp:1.592
split.by:All_cells\",\"Cell:ACATACGGTAAACACA
Exp:5.345
split.by:All_cells\",\"Cell:CTGCTGTGTTATCACG
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTAGTGCCATT
Exp:1.096
split.by:All_cells\",\"Cell:CCACGGAGTCTCTTAT
Exp:0.859
split.by:All_cells\",\"Cell:CCATTCGCATGAAGTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCTGCTGCT
Exp:0
split.by:All_cells\",\"Cell:ACGATGTTCTGCTGCT
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTCACCATCCT
Exp:0
split.by:All_cells\",\"Cell:TAGTTGGGTACCGTAT
Exp:0
split.by:All_cells\",\"Cell:GCGCAACCAACACCTA
Exp:0
split.by:All_cells\",\"Cell:CCAGCGAGTACCGTAT
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCATCTCCCA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCCTGTAGA
Exp:4.012
split.by:All_cells\",\"Cell:GGAAAGCTCTCGGACG
Exp:0
split.by:All_cells\",\"Cell:ACTGATGGTCCGACGT
Exp:1.886
split.by:All_cells\",\"Cell:GTAACGTCAGCCTATA
Exp:3.132
split.by:All_cells\",\"Cell:GGGAGATAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCTAACTCT
Exp:0
split.by:All_cells\",\"Cell:GAAATGACATCTACGA
Exp:1.62
split.by:All_cells\",\"Cell:GTGTGCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TCTCATAGTTACCAGT
Exp:0
split.by:All_cells\",\"Cell:ACGTCAACACGGTGTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:TGTATTCCAATGACCT
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTAGCTAGCCC
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGAGCTGGT
Exp:0
split.by:All_cells\",\"Cell:GGCAATTTCCGAATGT
Exp:0
split.by:All_cells\",\"Cell:GATCGTAGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATCAAGCCGCT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACAGTGG
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTAGCAGGCTA
Exp:0
split.by:All_cells\",\"Cell:CCACTACGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:GGAAAGCAGGCATGGT
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCGAGCCCA
Exp:1.694
split.by:All_cells\",\"Cell:CTCGAAAGTAAAGTCA
Exp:1.29
split.by:All_cells\",\"Cell:TAAACCGAGTCGTACT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGTCATCGCTC
Exp:0.91
split.by:All_cells\",\"Cell:CACCACTCACGAAATA
Exp:0
split.by:All_cells\",\"Cell:CGTAGGCTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:TCGCGTTTCTCTGCTG
Exp:0
split.by:All_cells\",\"Cell:GGACAAGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGCCCAGCT
Exp:6.192
split.by:All_cells\",\"Cell:TCACGAATCCTATGTT
Exp:0.939
split.by:All_cells\",\"Cell:ACGCAGCGTGGCTCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:ATAACGCAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:ATTCTACTCAGGTAAA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCCAAGCGTAG
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGGCGTG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAAGTCCGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGAATGAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CACAGGCTCAAGATCC
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCAGTTCGCAT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTTCGCCATAA
Exp:6.366
split.by:All_cells\",\"Cell:CCACTACAGAGTACCG
Exp:0.77
split.by:All_cells\",\"Cell:AGCCTAAAGCCCAACC
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:AGTGGGACAGTATCTG
Exp:1.13
split.by:All_cells\",\"Cell:CAACCAATCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:TGTCCCATCTTGACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCCATCAGTCGTGC
Exp:0
split.by:All_cells\",\"Cell:GTTTCTAGTCCTCTTG
Exp:1.25
split.by:All_cells\",\"Cell:GCACATACATTACGAC
Exp:0.842
split.by:All_cells\",\"Cell:ATGGGAGTCGGTTCGG
Exp:0.948
split.by:All_cells\",\"Cell:ATAAGAGTCCGAACGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCGAAGCTTCGCG
Exp:0
split.by:All_cells\"]],\"marker\":{\"color\":[0,0,0,0,0,0,0,6.1373319095338266,0,0,0,0,0,0.9427016432373585,0,0,0,1.1527365306083937,0,0,0,6.7350327481314016,0,6.7333140004710312,1.4732987305729146,0,0.84920716884312386,1.5623522326000949,4.6877005872992283,0,0,0,0,0,1.1421700298311563,4.0391464366184993,0,0,0,5.8612947049477571,0,0.87196041019970427,0,0,0,0,0,0,0,0,0,7.3928736669465795,1.2254155411418599,0.96105972171291154,5.9045528222811186,0,0,0,1.1760824144865274,3.7532484482111994,0,0,0,0.87010225736033242,0,0,0,0,0,0.91572111065685236,0,0,1.8665537061930817,0,0.78782516641227618,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5.1233828851612158,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.0940994060421532,0,0.53518501380637074,0,0.63022879389110731,0,0,0.93286552800590949,6.9596885024335728,0,0,0,0,1.5809383714395906,0,0,0,0,0,0.85842196119402958,0,2.518423073118468,0,0,0,1.0022611579964082,0.81645574907910889,0,0.94896309719237015,0,0,1.1231337003681556,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.84019947302087228,0,0,0,0,0,0,0,0,1.1391283740409952,0,0,0,0,0,0,0,0,0,0,0,0,0.8525897910573963,0,0,0,1.4809943821481557,0.90991843862632116,0,0,0,0.8444130605122202,0.90192533875198411,0,0,0,0,0,0,0,3.5352243642162544,0,0,0,0,1.1091216820804584,0,0.81246103466799258,0,0,6.5696319698129599,0,0,0.95689204778112114,4.9270081960188659,0.90797220499906428,0.75669539249866491,0,0.5877155626392595,0,0,0,1.0904789369487944,0,0,0,5.8501392479169345,0,0.79923561626434947,0,0,3.2573456406638992,0,0,0,1.4042984633847209,5.1362044518106833,0,0,0,6.6529386102465331,0,0,0,0.96931028411198716,0,0,0,0,0.84222545431886142,0,0,0,0,0,0,0,0,1.5295247690781295,0,3.5893703302245741,5.1562109119895609,5.4840890257634065,0,0.94702700370299153,0,0,0,0,0,1.0459286400024403,0.92142126976160854,0,5.3137677260324505,0,0,0,0,0,0,0,0,0,0,0,0,6.472525422642792,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5.8720384182025729,0,0,0,0,0,0,0,0,0,0,3.4112433991843094,0,0,0,0,1.036209248189236,0.99296852700923943,0,6.4193466730427202,0,0,0,0,0,0,0,0.93690558457558371,0.69859129119332231,2.5537004615388099,0,0,0,0,2.0151630647512455,0,0,0,0,0,0.84019947302087228,0,0,1.1174961537131138,0,0,0,0,0,0,1.3548146757612978,0,0,0,0,0,0,0,0,0,3.6733894861234786,0,0,0,2.1563353819614268,0,4.3907620472910098,0,0.49720673623118677,0,0,0,0,0,0,0,0,4.0993532687927061,0,0,0,1.0421121707289513,0.88983185447370239,0,0.8224188435054387,0.90070890824588823,0,0.96880283528015321,0,0,0,0,0,0,0,0,1.2032732590018504,0,0,0,0,0.98775666908954429,0.92655221418658118,1.1365354601818092,0,0,0,0,5.4160923977699635,0,4.5963084494255249,0,0,0,0.90253486954379158,0,0,0,6.060809152196045,5.4609189707222061,1.0891035006990823,1.1133602220508478,0,0,0.87220339987194351,0,0,0,1.0801586829528675,0,0,0,0,0,0,0,0,0,0,0.5993587058508304,0,0.60091734922642137,0,0,0,0,0,0,0,5.0281497645193198,0.86117270752363739,0,0,0,0,0,0,0,0,4.1243834580136722,0.96839728802492864,1.5769654995487055,4.2191515487817979,0,0,3.6834350660209503,0,0,0,0,0,0,0,0,0,0,0.93851318462433386,0,4.7663046418366255,2.4993637304437319,0,4.628125976404986,0,4.6395398716111789,0,0,6.3490529533116584,0,0,0,0,0,0,0.91258680267396641,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.1815358924526229,0,0,0,0,0.77808632326436744,2.0134743561002892,0,0,0,6.3696230726816268,0.86227825113378143,0,2.7573116719268147,0,0,0.74135639210777937,1.1418795742418286,0,0,0,0,0,0,0,0,5.5245349067085039,0,0,0,0,0,0,0.93832374821904607,0,1.0210827022817861,0,0,0,5.9807064195170794,0,0,0,0,0,0,0.96385994184769397,0,0.52806743020049673,0,1.7421447894148256,0,0.89553502124670215,0,5.6299358095816903,0,0,0.58661573574259929,0,5.3600804444197951,0,0,6.1442433628944642,0,0,0,0,0,0,5.1564862611902971,1.0004093456370975,0,5.7958264011968446,1.104109017885327,0,0,0,0.69894722203707371,0,6.5520272082773623,0,0,0,0,0,0,0,0,0.55601824060279159,0,1.7654461080116346,0,0,1.046407841349742,0,0,0,0,0,0.877750040440333,1.0579313146665736,0,0,0,0,0,0,0,0,0,0,0,0,0,4.2222869236863545,0.99565061261778065,3.3855212865266462,0.8742339248069394,0,0,0,0,5.2804602603779189,0,0,0,0,0,0,0,0,0,0.73672729347872912,0,0,0,1.1857815173595507,0,0,0,1.0080824042051777,0,0,0,0,0.91027325713452412,0.8999287636548966,0,0,0,0,0.88717716364413435,0,0.80995922114759833,1.1603532983133578,0,6.8392566193327733,0,0,0,0,1.1265746368049399,0,0,0.79130449325557062,0,0,0,0,1.0725103003709471,0,0,0,0,0,0,0,0,0.96115942813540989,0,0,0,0,0.94222366298463489,0,0,0,0,0,0,5.0493214659805359,0,1.0267992640493826,0,0,1.0200610496290334,0,0,0,0,0,0,7.1692871398364888,0.81547075700587346,0,0,0,0,0,0,0,4.1142087332882795,0,0,0,0,0,0,0,0,0,0,0,0.57455351443626046,0,0,0,0,0.89889081017329064,0.99019567208348713,0,0,0,0,5.1452033194951028,0,0,0,5.7316926832850736,0.91608078331078169,0,0,0.79428411387684883,0,2.8252891177644854,0,0,0,0,0,0,0,0,0,0,0,0,0,6.059295836579806,0,4.643242725205476,0.96335861525687694,4.0153160563748429,0.92969739215427039,0,1.3112371719988365,0,0,0,0,5.3136350956718283,0,0,1.8385870825276309,0,0,0,0,0,0.99489805080822968,0,0,0,0,0,0.92370433720377143,0,0,0,0,0,0,0,0,0,0,0,0,0,1.3375709269521165,6.0590318406963064,0,4.8239585883815028,0,0,0,0,0,1.3232427472144428,0,0,0,0,5.7953343923975549,0,0,0,0,0,0,6.4677561685472673,0.72385123217815561,0,2.9583899184828488,0,0,0,0,0,0.58874828049028349,0,0,0,1.4002551341476428,0,0,0,1.116113752882141,0,0.7452897765379406,0,0,0,0,6.0546369208445361,0,0,0,0,0,0,1.0819605337784988,0,0,0,0,6.2716135313591845,0,0,0,0,0,0.53252931374985135,1.3334410499327689,0,0.94664080235175252,0,0,0,0,0,0,1.0144253440823081,0,0,0,0,0,6.1758672701057611,0,0,0,0,0,0,0,0,4.7681656612925947,0,2.3126183191270959,3.457877592586633,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.7118617553294966,1.2215212745673165,1.5923785822849923,5.3454841355764398,0,1.0959527126323509,0.85865700889428154,0,0,0,0,0,0,0,0,0,0,4.012367602330742,0,1.8862216523735502,3.1317395977981195,0,0,1.6198655916463052,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.6938704786930849,1.290430814326913,0,0.91018452480096268,0,0,0,0,6.1923408286714485,0.93851318462433386,0,0,0,0,0,0,0,0,0,0,6.3664593145394957,0.76990205738238604,0,0,1.1299679927546471,0,0,0,1.2497355233037755,0.84237593847747116,0.94838137709542192,0,0],\"colorbar\":{\"title\":{\"text\":\"Ins1\",\"font\":{\"color\":\"black\",\"size\":14}},\"len\":0.5},\"size\":1.5,\"showscale\":true}}],\"label\":\"Ins1\"},{\"method\":\"update\",\"args\":[{\"text\":[[\"Cell:CAGCCGAAGCGATATA
Exp:0
split.by:All_cells\",\"Cell:AGTGTCATCGCCGTGA
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGTTGTAGA
Exp:0.536
split.by:All_cells\",\"Cell:CACAGTACATCCGTGG
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTCATTGGGCC
Exp:0.858
split.by:All_cells\",\"Cell:AGAGCTTGTGTGACCC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:ACCGTAACAAGGTTCT
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGGTGGGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGGTCCCTTGT
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTGTCTTCTCG
Exp:0
split.by:All_cells\",\"Cell:CCGTGGACACGAAGCA
Exp:0
split.by:All_cells\",\"Cell:GAACATCAGCAATATG
Exp:0
split.by:All_cells\",\"Cell:TTCTACACAGTCGATT
Exp:6.59
split.by:All_cells\",\"Cell:ACGGCCACACGTGAGA
Exp:0
split.by:All_cells\",\"Cell:CTCGTACAGAGGTTAT
Exp:0.584
split.by:All_cells\",\"Cell:CGTCTACAGATGCGAC
Exp:1.759
split.by:All_cells\",\"Cell:CTCACACGTCACACGC
Exp:0
split.by:All_cells\",\"Cell:AAAGCAACACGGTAAG
Exp:0
split.by:All_cells\",\"Cell:CATCGGGCACGTTGGC
Exp:0
split.by:All_cells\",\"Cell:ATCATCTGTGTTTGTG
Exp:0
split.by:All_cells\",\"Cell:CAAGGCCCAAGAAAGG
Exp:0
split.by:All_cells\",\"Cell:AGATCTGGTTCGGCAC
Exp:0
split.by:All_cells\",\"Cell:CTCTGGTCAAGACACG
Exp:0
split.by:All_cells\",\"Cell:TACAGTGTCCCTAACC
Exp:0
split.by:All_cells\",\"Cell:GGACAGATCAGCATGT
Exp:0
split.by:All_cells\",\"Cell:CACTCCACATATGGTC
Exp:0
split.by:All_cells\",\"Cell:GTTCATTGTTCCAACA
Exp:6.565
split.by:All_cells\",\"Cell:TAAGTGCCAATAGCAA
Exp:0
split.by:All_cells\",\"Cell:TACTCGCTCTTCGGTC
Exp:0.802
split.by:All_cells\",\"Cell:GCTGCTTTCCTCGCAT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTGTCTAGAGG
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:CGAGCACTCTAACTCT
Exp:0
split.by:All_cells\",\"Cell:GATCGTAAGTGCAAGC
Exp:0
split.by:All_cells\",\"Cell:TGTCCCAGTCTCGTTC
Exp:0
split.by:All_cells\",\"Cell:CTTGGCTCAGCCACCA
Exp:0
split.by:All_cells\",\"Cell:GGGTCTGGTAAACCTC
Exp:0
split.by:All_cells\",\"Cell:CGGACTGTCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:GGTGCGTTCTGGTATG
Exp:0
split.by:All_cells\",\"Cell:TACCTTATCCGATATG
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCTCTATCGCC
Exp:0
split.by:All_cells\",\"Cell:GTACGTACATCGATGT
Exp:0
split.by:All_cells\",\"Cell:TCGTAGATCTTTACGT
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGAGAGTGAGA
Exp:1.418
split.by:All_cells\",\"Cell:AGCGTATTCTGCTGTC
Exp:0
split.by:All_cells\",\"Cell:GGACAAGTCATAACCG
Exp:0
split.by:All_cells\",\"Cell:ACATCAGTCCTTGGTC
Exp:0
split.by:All_cells\",\"Cell:CCAGCGACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:GGACAGAAGTGGAGAA
Exp:0
split.by:All_cells\",\"Cell:GACTACAAGCGTGTCC
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTAGAGCTG
Exp:0
split.by:All_cells\",\"Cell:GTTCTCGCAAGTCTAC
Exp:3.397
split.by:All_cells\",\"Cell:CGAATGTTCTTCATGT
Exp:0
split.by:All_cells\",\"Cell:CCGTGGACATTCCTGC
Exp:0
split.by:All_cells\",\"Cell:CTAATGGAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:AGCGGTCGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:GTATTCTTCACTTACT
Exp:0
split.by:All_cells\",\"Cell:CAGTCCTAGGTGGGTT
Exp:0
split.by:All_cells\",\"Cell:CGACTTCCACAACGTT
Exp:0
split.by:All_cells\",\"Cell:AAACGGGTCCGCGCAA
Exp:0
split.by:All_cells\",\"Cell:CTAGTGACATTGAGCT
Exp:0
split.by:All_cells\",\"Cell:CTCCTAGAGAGTGACC
Exp:0
split.by:All_cells\",\"Cell:GCAGTTATCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:CGAACATCAAGCGAGT
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGCGAAGGG
Exp:0
split.by:All_cells\",\"Cell:CATCGGGAGGCCCTTG
Exp:6.899
split.by:All_cells\",\"Cell:TGGACGCAGCTGCAAG
Exp:3.845
split.by:All_cells\",\"Cell:CAGAATCCACGCATCG
Exp:0.656
split.by:All_cells\",\"Cell:CTCGGAGGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CGGACACTCTATCCTA
Exp:3.416
split.by:All_cells\",\"Cell:CGTGTAATCATTATCC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAAGTTAAGATG
Exp:4.626
split.by:All_cells\",\"Cell:ATTTCTGTCCCTGACT
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CAGATCACAACCGCCA
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGCATTCCTCG
Exp:0
split.by:All_cells\",\"Cell:CCACGGACAGATGAGC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAAGAAGATTC
Exp:0
split.by:All_cells\",\"Cell:CATGACACAAAGTCAA
Exp:0
split.by:All_cells\",\"Cell:AACGTTGTCAGTTAGC
Exp:0
split.by:All_cells\",\"Cell:CTGGTCTAGGTGATTA
Exp:0
split.by:All_cells\",\"Cell:TCAGGATTCCAGTAGT
Exp:5.93
split.by:All_cells\",\"Cell:CATTATCGTCATATCG
Exp:0
split.by:All_cells\",\"Cell:GCGCAACAGTGTACCT
Exp:0
split.by:All_cells\",\"Cell:GTGCATACAATAGCAA
Exp:0
split.by:All_cells\",\"Cell:TTTACTGGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:GTAGTCAGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:CCTACACGTTCTCATT
Exp:1.159
split.by:All_cells\",\"Cell:AGCTCTCTCAACACGT
Exp:0.827
split.by:All_cells\",\"Cell:CTAACTTGTAGGAGTC
Exp:5.476
split.by:All_cells\",\"Cell:ACGAGCCGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:GTAGGCCGTTACCAGT
Exp:0
split.by:All_cells\",\"Cell:TCTCATATCAGAGCTT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTGTCATACTG
Exp:0
split.by:All_cells\",\"Cell:GGGAATGTCGACCAGC
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCAGGGTTTCT
Exp:0
split.by:All_cells\",\"Cell:CGGACTGAGGTAGCTG
Exp:0.958
split.by:All_cells\",\"Cell:CAACCTCTCTCTGTCG
Exp:0
split.by:All_cells\",\"Cell:CTGAAACGTTCCCTTG
Exp:0
split.by:All_cells\",\"Cell:GTAGTCAGTACTCAAC
Exp:1.037
split.by:All_cells\",\"Cell:AGGCCACCACCTATCC
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTACCGTTA
Exp:0
split.by:All_cells\",\"Cell:TTCTACAAGATCGATA
Exp:0
split.by:All_cells\",\"Cell:TCACAAGCACCGAAAG
Exp:0
split.by:All_cells\",\"Cell:TCGGGACGTCATCGGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGAGGAACTGC
Exp:0
split.by:All_cells\",\"Cell:CATATGGCATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:ATCATCTTCTGTCAAG
Exp:0.535
split.by:All_cells\",\"Cell:CCGTTCACAGTAGAGC
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:TTTGTCAGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:ATTATCCAGACCCACC
Exp:0
split.by:All_cells\",\"Cell:CACCACTCAATCTACG
Exp:0
split.by:All_cells\",\"Cell:GCGCGATGTCCGAATT
Exp:1.247
split.by:All_cells\",\"Cell:CATTATCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGCTAAGAT
Exp:0
split.by:All_cells\",\"Cell:GCGCGATTCGCGTAGC
Exp:0
split.by:All_cells\",\"Cell:CTACATTCACCGTTGG
Exp:0
split.by:All_cells\",\"Cell:TCATTTGCATTGGCGC
Exp:1.075
split.by:All_cells\",\"Cell:AGCAGCCCAGGAATGC
Exp:0
split.by:All_cells\",\"Cell:GGGATGAGTCTGCGGT
Exp:0
split.by:All_cells\",\"Cell:TGCGCAGTCTGCCAGG
Exp:0
split.by:All_cells\",\"Cell:AGCGTATTCTCGTATT
Exp:0
split.by:All_cells\",\"Cell:GTCTCGTAGATCTGCT
Exp:0.821
split.by:All_cells\",\"Cell:CAGAATCGTGTAAGTA
Exp:0
split.by:All_cells\",\"Cell:TGACTTTAGGTCATCT
Exp:0
split.by:All_cells\",\"Cell:GTGCATATCAGAGACG
Exp:0
split.by:All_cells\",\"Cell:TGGCCAGCACGAAAGC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCACAATGTTGC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACGTCTGATCA
Exp:0
split.by:All_cells\",\"Cell:CAGCGACAGATCACGG
Exp:0
split.by:All_cells\",\"Cell:AAAGATGAGTGAACAT
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTGTCAGAGGT
Exp:0
split.by:All_cells\",\"Cell:ATTTCTGAGAAGATTC
Exp:0
split.by:All_cells\",\"Cell:CTCTAATTCACCATAG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTTCTTGTCAT
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:CCTAAAGTCATGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCACAGCTGTCTA
Exp:0.855
split.by:All_cells\",\"Cell:GAAATGACACATGACT
Exp:0
split.by:All_cells\",\"Cell:ACTGAGTAGGCTAGGT
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGAGCTGCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCACAGATCGGA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTTCTGGTGTA
Exp:0.815
split.by:All_cells\",\"Cell:CGTGTCTCATACTCTT
Exp:0
split.by:All_cells\",\"Cell:ACTATCTGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCGATAGAA
Exp:0
split.by:All_cells\",\"Cell:GTTCTCGCAGCTGGCT
Exp:0.941
split.by:All_cells\",\"Cell:CATATGGAGGCCCGTT
Exp:1.144
split.by:All_cells\",\"Cell:ACTGAACAGCCTCGTG
Exp:0.981
split.by:All_cells\",\"Cell:CCTAGCTCAGGTGCCT
Exp:0
split.by:All_cells\",\"Cell:CCCTCCTAGACCCACC
Exp:0
split.by:All_cells\",\"Cell:TTAACTCGTCCGAACC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCCATAAAGGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCAAACCAC
Exp:0
split.by:All_cells\",\"Cell:GTTCTCGGTTTGTGTG
Exp:0
split.by:All_cells\",\"Cell:ACATCAGTCCGTTGTC
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCCTTTCTC
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGCCAACAG
Exp:3.493
split.by:All_cells\",\"Cell:AAGACCTAGTAGGCCA
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCACGAGGTA
Exp:6.349
split.by:All_cells\",\"Cell:GGACAGAAGGCCGAAT
Exp:1.038
split.by:All_cells\",\"Cell:ACTGTCCCACGTAAGG
Exp:0
split.by:All_cells\",\"Cell:TCCACACCAGGCGATA
Exp:5.73
split.by:All_cells\",\"Cell:CGTCACTCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:CACACCTGTCGCTTTC
Exp:0
split.by:All_cells\",\"Cell:GGCTCGAGTCGCTTCT
Exp:0
split.by:All_cells\",\"Cell:TGGCTGGCAGTGAGTG
Exp:0
split.by:All_cells\",\"Cell:GATGAAACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:TTCTTAGTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TCCCGATGTAAGTGTA
Exp:0.783
split.by:All_cells\",\"Cell:CTGAAACAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCTGCTGTC
Exp:1.306
split.by:All_cells\",\"Cell:GATCGCGAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGTGGTAGC
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTAAGAGAG
Exp:5.984
split.by:All_cells\",\"Cell:CATCAGAGTTCGCTAA
Exp:5.254
split.by:All_cells\",\"Cell:CCATTCGGTGCTAGCC
Exp:6.46
split.by:All_cells\",\"Cell:CCACTACTCTTTAGTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTGAAATCA
Exp:0
split.by:All_cells\",\"Cell:ACCGTAATCTATCCCG
Exp:0.584
split.by:All_cells\",\"Cell:ACTTACTCAATACGCT
Exp:0
split.by:All_cells\",\"Cell:GAACGGATCACAACGT
Exp:0
split.by:All_cells\",\"Cell:CGGTTAAGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTGTTACGCGC
Exp:2.533
split.by:All_cells\",\"Cell:CAAGAAACACTAGTAC
Exp:0
split.by:All_cells\",\"Cell:AGTTGGTGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:CGTCCATGTCTAACGT
Exp:1.42
split.by:All_cells\",\"Cell:CAGCTAACAACACGCC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACCATACGCTA
Exp:0
split.by:All_cells\",\"Cell:CTCGTACCAGCCAGAA
Exp:0
split.by:All_cells\",\"Cell:ATTATCCGTATAAACG
Exp:0
split.by:All_cells\",\"Cell:GTACTTTTCAGTTCGA
Exp:5.216
split.by:All_cells\",\"Cell:AGTAGTCCACATGACT
Exp:0.884
split.by:All_cells\",\"Cell:AGTGAGGTCTGTTGAG
Exp:0
split.by:All_cells\",\"Cell:TCTCATAAGCAGATCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGATCAGGATCT
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCCAAGTCATC
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTACTTCTT
Exp:0
split.by:All_cells\",\"Cell:GTCCTCAAGTTCGATC
Exp:3.02
split.by:All_cells\",\"Cell:GCCAAATGTAAACACA
Exp:0
split.by:All_cells\",\"Cell:ACTTACTGTTTGGGCC
Exp:0
split.by:All_cells\",\"Cell:ACTTACTCACCGTTGG
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGAGGACCACA
Exp:0
split.by:All_cells\",\"Cell:AAGACCTGTGGCTCCA
Exp:0
split.by:All_cells\",\"Cell:AACTTTCCACAGTCGC
Exp:0
split.by:All_cells\",\"Cell:CAGATCATCTCGATGA
Exp:0
split.by:All_cells\",\"Cell:TGTTCCGGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:GCGCCAAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTTCGCACTCT
Exp:0.924
split.by:All_cells\",\"Cell:GTAACTGTCAGTGCAT
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTACGGAG
Exp:4.731
split.by:All_cells\",\"Cell:AGCAGCCGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:CGCCAAGTCTAAGCCA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCATGTAGC
Exp:0
split.by:All_cells\",\"Cell:ATGCGATGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGACAGACC
Exp:0.799
split.by:All_cells\",\"Cell:GTCAAGTAGTATCGAA
Exp:6.515
split.by:All_cells\",\"Cell:TCAGGTACAGTCACTA
Exp:6.334
split.by:All_cells\",\"Cell:TATCTCACATTGTGCA
Exp:0
split.by:All_cells\",\"Cell:CGTAGCGAGACTGTAA
Exp:0
split.by:All_cells\",\"Cell:ACGATGTGTCGCGGTT
Exp:0
split.by:All_cells\",\"Cell:CTCTGGTTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTAGTAAGTAC
Exp:4.903
split.by:All_cells\",\"Cell:CAGAATCCACAAGCCC
Exp:0.734
split.by:All_cells\",\"Cell:GTAACTGGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AACTTTCGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCAATCCGAT
Exp:3.131
split.by:All_cells\",\"Cell:TTTCCTCAGTGTCCCG
Exp:0.691
split.by:All_cells\",\"Cell:TATTACCGTTGAGTTC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCATCAGAGCTT
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCGCCTGAG
Exp:0
split.by:All_cells\",\"Cell:TCGTACCCATATACGC
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCGTTGATTCG
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTCATTCGACA
Exp:0.943
split.by:All_cells\",\"Cell:GGTGTTACATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CCTCTGACATCGGTTA
Exp:0
split.by:All_cells\",\"Cell:CTCTACGCACTAAGTC
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGGTGAAGGCT
Exp:0
split.by:All_cells\",\"Cell:ACGTCAACAGACAAAT
Exp:0
split.by:All_cells\",\"Cell:TCGAGGCAGTTAACGA
Exp:5.825
split.by:All_cells\",\"Cell:CAAGTTGTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTACTTGAC
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTTCTTGAGGT
Exp:0.887
split.by:All_cells\",\"Cell:GCACATAAGCAATATG
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGTGACATA
Exp:0
split.by:All_cells\",\"Cell:TGTGGTACAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TAAGAGACAGTAGAGC
Exp:1.015
split.by:All_cells\",\"Cell:CACATTTTCGAGGTAG
Exp:0
split.by:All_cells\",\"Cell:AGACGTTCAATGGTCT
Exp:1.021
split.by:All_cells\",\"Cell:GGAACTTGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGATCTAGCACA
Exp:0
split.by:All_cells\",\"Cell:CGTAGCGTCACTATTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCACTGTGTA
Exp:0
split.by:All_cells\",\"Cell:TGCGCAGTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCGGAATCT
Exp:0
split.by:All_cells\",\"Cell:ACTGATGGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CAGTAACAGCCACCTG
Exp:0
split.by:All_cells\",\"Cell:ACTGATGAGTGCAAGC
Exp:0
split.by:All_cells\",\"Cell:CTGCTGTGTTGTGGCC
Exp:0
split.by:All_cells\",\"Cell:GAGTCCGCAATTGCTG
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTAGCGTAATA
Exp:1.351
split.by:All_cells\",\"Cell:GTCATTTGTCTCAACA
Exp:0
split.by:All_cells\",\"Cell:GACTAACCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:GGTGAAGAGCAGGTCA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGTCTGATACG
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTCACCGAATT
Exp:6.297
split.by:All_cells\",\"Cell:CAGGTGCAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAAGCTACCTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCGTGCAGACA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGAGTTTGCGT
Exp:1.18
split.by:All_cells\",\"Cell:TCTATTGCAGTAAGCG
Exp:0
split.by:All_cells\",\"Cell:TTGGCAATCGGATGGA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGAGTCATCCA
Exp:0
split.by:All_cells\",\"Cell:CACCACTTCAGCTTAG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAGTATCGCAT
Exp:0
split.by:All_cells\",\"Cell:ACGGGCTAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAGTGTATGGG
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:GATCGATAGAAAGTGG
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCCAGGGCT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGTCCTACAGA
Exp:0
split.by:All_cells\",\"Cell:AGGGATGTCGCATGGC
Exp:1.111
split.by:All_cells\",\"Cell:TGCCCTACAATCACAC
Exp:0.897
split.by:All_cells\",\"Cell:CCCATACTCGTGGACC
Exp:1.011
split.by:All_cells\",\"Cell:GACTAACCATGAGCGA
Exp:4.91
split.by:All_cells\",\"Cell:TCACAAGAGCCACTAT
Exp:0
split.by:All_cells\",\"Cell:GGCAATTTCACATGCA
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCAGGAATGGA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:GCATGTAAGAATCTCC
Exp:0
split.by:All_cells\",\"Cell:GTTACAGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:GTTCGGGAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGTCTGGAGCC
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCGTTTAGG
Exp:0.967
split.by:All_cells\",\"Cell:GCATGCGCAAATTGCC
Exp:0
split.by:All_cells\",\"Cell:TCAACGACACCATCCT
Exp:0
split.by:All_cells\",\"Cell:CCTCTGATCATGTCTT
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCTTCTGGC
Exp:7.089
split.by:All_cells\",\"Cell:CTCAGAATCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:CGTCCATCATGGTAGG
Exp:0
split.by:All_cells\",\"Cell:TTAGTTCCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCAACACGT
Exp:0
split.by:All_cells\",\"Cell:CAGCAGCAGAGGTACC
Exp:1.007
split.by:All_cells\",\"Cell:ATCATGGGTTCTCATT
Exp:6.82
split.by:All_cells\",\"Cell:CTAGCCTGTGCGATAG
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGGTCTCCACT
Exp:6.297
split.by:All_cells\",\"Cell:GCATGATCATGCATGT
Exp:0
split.by:All_cells\",\"Cell:TACGGTATCCCATTTA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGAAGCTAGGCA
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTCGAGTTT
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTACGAAAT
Exp:0.566
split.by:All_cells\",\"Cell:GTATTCTTCAGGTAAA
Exp:0.666
split.by:All_cells\",\"Cell:TACCTATGTAACGTTC
Exp:1.36
split.by:All_cells\",\"Cell:TCACAAGCAACGATGG
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTTCAGCACAT
Exp:0
split.by:All_cells\",\"Cell:TGCCAAACATGACATC
Exp:0.699
split.by:All_cells\",\"Cell:CTAAGACGTACTCTCC
Exp:0
split.by:All_cells\",\"Cell:CGATGGCTCAGTGTTG
Exp:3.925
split.by:All_cells\",\"Cell:CCAGCGACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:TGAGAGGAGCCAGGAT
Exp:0
split.by:All_cells\",\"Cell:AGAGCGACACAACTGT
Exp:0.685
split.by:All_cells\",\"Cell:CTTTGCGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTTCCTTTCGG
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGTCCGGTC
Exp:1.029
split.by:All_cells\",\"Cell:GGGATGATCTGTCCGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACATCCTAGA
Exp:0.845
split.by:All_cells\",\"Cell:GCACATATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:CATCCACCAGATGGGT
Exp:6.43
split.by:All_cells\",\"Cell:TGCCCTATCATAAAGG
Exp:5.821
split.by:All_cells\",\"Cell:ACTGTCCAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCACTTCC
Exp:0
split.by:All_cells\",\"Cell:GACAGAGCAGTCAGAG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTTCAGTCCCT
Exp:0
split.by:All_cells\",\"Cell:AATCGGTGTCACACGC
Exp:0
split.by:All_cells\",\"Cell:TACGGATAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGCAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:CCACGGAGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTATTG
Exp:0.891
split.by:All_cells\",\"Cell:AGATTGCCACCAGGCT
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:CACCAGGGTACCTACA
Exp:0
split.by:All_cells\",\"Cell:GGCCGATTCAGAGACG
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCTAAGCCA
Exp:6.856
split.by:All_cells\",\"Cell:GACTGCGGTCGCCATG
Exp:0
split.by:All_cells\",\"Cell:GAATGAACAGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:CGCTGGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTAATGGCATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGATCAATCTCT
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTTCGTACGGC
Exp:1.507
split.by:All_cells\",\"Cell:TTCCCAGAGGATTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTCATCTCCCA
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTAGTGAATTG
Exp:0
split.by:All_cells\",\"Cell:TACCTATGTCCAACTA
Exp:0
split.by:All_cells\",\"Cell:TACTTGTAGACAAAGG
Exp:0
split.by:All_cells\",\"Cell:GTCCTCACACCACGTG
Exp:0
split.by:All_cells\",\"Cell:TAAACCGCATTCCTCG
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:TCAGCTCAGGCTATCT
Exp:0
split.by:All_cells\",\"Cell:CACAGTAGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGCACACATGT
Exp:0
split.by:All_cells\",\"Cell:ACGGCCACACGCTTTC
Exp:0.719
split.by:All_cells\",\"Cell:AGATTGCCATTCCTGC
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCAGGTTCA
Exp:0
split.by:All_cells\",\"Cell:TGAGGGACAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:TACGGTATCTTTCCTC
Exp:0.828
split.by:All_cells\",\"Cell:GATCGCGAGCGTTGCC
Exp:0
split.by:All_cells\",\"Cell:CAGCGACCACAGGAGT
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGCTTGC
Exp:1.576
split.by:All_cells\",\"Cell:GTCACGGCATACTACG
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGTCCGAGCCA
Exp:0
split.by:All_cells\",\"Cell:GGACAGATCCTGCAGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTCCATCCT
Exp:6.048
split.by:All_cells\",\"Cell:AACTTTCCACTGCCAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTCATGCCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGAGTGCACCAC
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTGACTCAT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTGCGGCA
Exp:0
split.by:All_cells\",\"Cell:GGCGACTCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTAGCTGCCCA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCAAACAACA
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTACATCCA
Exp:0
split.by:All_cells\",\"Cell:CATGGCGAGAGTCTGG
Exp:0
split.by:All_cells\",\"Cell:CGTGTAATCGTTGACA
Exp:0
split.by:All_cells\",\"Cell:CGATCGGAGCTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGCACCTAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACATAGTAAG
Exp:1.067
split.by:All_cells\",\"Cell:GAACGGACAAGGTGTG
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGGGTGAAGGTGCAAC
Exp:0
split.by:All_cells\",\"Cell:CTACACCCAGGGCATA
Exp:1.399
split.by:All_cells\",\"Cell:AAGCCGCGTTATCCGA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCTCTTGCATT
Exp:2.386
split.by:All_cells\",\"Cell:AACTGGTTCGTCCAGG
Exp:4.293
split.by:All_cells\",\"Cell:AAGTCTGGTCTCCATC
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTGTGTAAGTA
Exp:0
split.by:All_cells\",\"Cell:CGCTATCAGGTGATAT
Exp:0
split.by:All_cells\",\"Cell:AACTCTTAGCTAACAA
Exp:1.113
split.by:All_cells\",\"Cell:GTGTGCGGTAGTACCT
Exp:0
split.by:All_cells\",\"Cell:GGGTCTGCAGCAGTTT
Exp:0
split.by:All_cells\",\"Cell:CGTAGGCCAACACCCG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACTCTACCTGC
Exp:0
split.by:All_cells\",\"Cell:CATCGAAAGATGTTAG
Exp:0
split.by:All_cells\",\"Cell:GCAATCACAGCTGCTG
Exp:0
split.by:All_cells\",\"Cell:AACACGTAGTAATCCC
Exp:0.911
split.by:All_cells\",\"Cell:GATCTAGCATCACCCT
Exp:0.702
split.by:All_cells\",\"Cell:GGCTCGACAGCTTCGG
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAGTTAGAACA
Exp:0
split.by:All_cells\",\"Cell:GAGCAGAAGCCAGTTT
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGGTAAGTAGT
Exp:0
split.by:All_cells\",\"Cell:GGACAGAGTCAGCTAT
Exp:6.368
split.by:All_cells\",\"Cell:ACTTTCAAGGATATAC
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTATAATGG
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTCATGCGCAC
Exp:5.618
split.by:All_cells\",\"Cell:AGCGTATCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:GTACTCCGTAGCGATG
Exp:0
split.by:All_cells\",\"Cell:CTGTGCTCAGCTCCGA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCAAGAAGT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACACGGTAAG
Exp:0.825
split.by:All_cells\",\"Cell:CAACCAAAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAAGTGGTAAT
Exp:0
split.by:All_cells\",\"Cell:CGAATGTAGTTCCACA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGACAATCGGTT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCCAGTATG
Exp:1.169
split.by:All_cells\",\"Cell:TTCTTAGTCGGCGCTA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCTGACCTC
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTCCACTC
Exp:0
split.by:All_cells\",\"Cell:TAAACCGAGGATGGAA
Exp:0.924
split.by:All_cells\",\"Cell:CTTACCGCAAAGTCAA
Exp:0
split.by:All_cells\",\"Cell:CGGTTAATCGTCTGAA
Exp:1.217
split.by:All_cells\",\"Cell:CTCGTCATCGGTCTAA
Exp:0
split.by:All_cells\",\"Cell:GTTAAGCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAATCTGCA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGCGTCTAT
Exp:0
split.by:All_cells\",\"Cell:TGGACGCGTATTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCACGGAAGATCCTGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTTTAGGG
Exp:0
split.by:All_cells\",\"Cell:CAGTAACCATGCCTAA
Exp:0
split.by:All_cells\",\"Cell:AGTAGTCAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCCACCTTGTC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTGTATATCCG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACGCGTAGACGCACA
Exp:2.579
split.by:All_cells\",\"Cell:CCTCAGTGTGATAAGT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCACAAGCCC
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCGGCACA
Exp:6.646
split.by:All_cells\",\"Cell:TGCGTGGTCTTTACGT
Exp:0.968
split.by:All_cells\",\"Cell:CATCAGATCATCGCTC
Exp:0
split.by:All_cells\",\"Cell:CTTGGCTCATCCCACT
Exp:0
split.by:All_cells\",\"Cell:AGCATACGTCGCGAAA
Exp:0.675
split.by:All_cells\",\"Cell:CTTAACTGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:GTTTCTATCAACGGCC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAGTGACAAAT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCGTTATGTGC
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTAGGTGCTAG
Exp:0
split.by:All_cells\",\"Cell:GAATGAACAATCGAAA
Exp:0.772
split.by:All_cells\",\"Cell:CCTACACAGATCCGAG
Exp:0
split.by:All_cells\",\"Cell:GATGCTACAAGCGCTC
Exp:0
split.by:All_cells\",\"Cell:GTTACAGTCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGACCTTTG
Exp:4.507
split.by:All_cells\",\"Cell:GACTACACATATGAGA
Exp:0.488
split.by:All_cells\",\"Cell:TGTGGTAAGTGGTCCC
Exp:0
split.by:All_cells\",\"Cell:CGTTAGATCAGTCAGT
Exp:0
split.by:All_cells\",\"Cell:GTGCTTCTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:GATGAGGAGAAACCTA
Exp:0
split.by:All_cells\",\"Cell:GAAATGATCTTCAACT
Exp:0
split.by:All_cells\",\"Cell:GCTCCTAGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCATGCAAC
Exp:5.662
split.by:All_cells\",\"Cell:CGACCTTCACACAGAG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTACGCACC
Exp:4.934
split.by:All_cells\",\"Cell:GCACTCTTCCGGCACA
Exp:0
split.by:All_cells\",\"Cell:GTACTCCTCTCTTATG
Exp:5.585
split.by:All_cells\",\"Cell:CACATAGTCATTGCGA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACGTATGGTTC
Exp:1.378
split.by:All_cells\",\"Cell:CGTGAGCAGTCTCAAC
Exp:0.735
split.by:All_cells\",\"Cell:CCTTTCTTCTTCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACGTAGCGCAA
Exp:0
split.by:All_cells\",\"Cell:TTGGAACGTCCGTTAA
Exp:0
split.by:All_cells\",\"Cell:CATTATCAGCTCCCAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGTCCATAACCTG
Exp:6.191
split.by:All_cells\",\"Cell:GTGCAGCTCGTTTATC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACCTCAGCGTGAAC
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACCGTTA
Exp:0.683
split.by:All_cells\",\"Cell:CGATTGAAGTTAGCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:GGACGTCCAGTATCTG
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGTCGGAT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGGTCATCT
Exp:5.53
split.by:All_cells\",\"Cell:CAAGGCCTCGTACCGG
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:GCAAACTTCGGAATCT
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCACGGTGTC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGTCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCATCGGAT
Exp:0
split.by:All_cells\",\"Cell:TGGTTAGCAGTCGTGC
Exp:0
split.by:All_cells\",\"Cell:CTCTAATAGTTATCGC
Exp:0
split.by:All_cells\",\"Cell:AACTCTTAGCTGCGAA
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCACGAAGG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTGTAGTGAAT
Exp:0
split.by:All_cells\",\"Cell:GGGTTGCTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:ATCCGAACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:TTCTCAATCACTCCTG
Exp:0
split.by:All_cells\",\"Cell:ACTGATGTCCCTAACC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTGTCTAAACC
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGTCGACGGAA
Exp:1.197
split.by:All_cells\",\"Cell:AAATGCCAGACTAAGT
Exp:2.681
split.by:All_cells\",\"Cell:TACGGGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCATTTGCCC
Exp:1.03
split.by:All_cells\",\"Cell:CAGCTGGTCGCCGTGA
Exp:1.045
split.by:All_cells\",\"Cell:CACATAGAGGGAAACA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGCATCGTCGG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGCAGTACACT
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCTCAACCATG
Exp:4.036
split.by:All_cells\",\"Cell:GTGTTAGAGTTTCCTT
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTAGTACTTGC
Exp:0
split.by:All_cells\",\"Cell:CACATTTGTATAGTAG
Exp:0
split.by:All_cells\",\"Cell:GTGCATAAGAATGTTG
Exp:0.667
split.by:All_cells\",\"Cell:GGACATTAGAAACCAT
Exp:0
split.by:All_cells\",\"Cell:TCTCTAAGTGGCAAAC
Exp:0
split.by:All_cells\",\"Cell:ACGATACTCGCGCCAA
Exp:6.224
split.by:All_cells\",\"Cell:GAATAAGCACGAAATA
Exp:0.705
split.by:All_cells\",\"Cell:CATGACACATCCGCGA
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCAGGGTGTTG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTTCGGCGCAT
Exp:0.814
split.by:All_cells\",\"Cell:ACTGTCCGTGCGATAG
Exp:0
split.by:All_cells\",\"Cell:CGTTGGGGTTTAAGCC
Exp:0
split.by:All_cells\",\"Cell:AACTCAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTAGATCGATA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGTCACAATGC
Exp:1.062
split.by:All_cells\",\"Cell:GGGACCTGTCAGCTAT
Exp:4.437
split.by:All_cells\",\"Cell:ATGCGATAGAAACGAG
Exp:0
split.by:All_cells\",\"Cell:TATGCCCTCTTCCTTC
Exp:1.249
split.by:All_cells\",\"Cell:CCACCTATCGGAAACG
Exp:6.458
split.by:All_cells\",\"Cell:CGATGGCCAACTGGCC
Exp:0
split.by:All_cells\",\"Cell:CAGCCGAGTAGCCTAT
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTGGTGTAG
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCTCAAACG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCCAAGTAC
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCAGCAACGGT
Exp:1.062
split.by:All_cells\",\"Cell:CCTACACCATTATCTC
Exp:0.975
split.by:All_cells\",\"Cell:CTGAAACTCTGTTTGT
Exp:0
split.by:All_cells\",\"Cell:CCATGTCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CAGCCGAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGACGGCGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:ACTGATGCACATGACT
Exp:0
split.by:All_cells\",\"Cell:ATCATCTGTAGGACAC
Exp:0
split.by:All_cells\",\"Cell:ATCTGCCGTCATATGC
Exp:0
split.by:All_cells\",\"Cell:TACACGAAGATCCCAT
Exp:6.476
split.by:All_cells\",\"Cell:CATCCACGTTACGACT
Exp:0
split.by:All_cells\",\"Cell:AGATCTGCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCAATCCAAC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTCAATGAAAC
Exp:0
split.by:All_cells\",\"Cell:GTGCTTCTCACGACTA
Exp:0
split.by:All_cells\",\"Cell:GATCGTACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGAACAACT
Exp:1.071
split.by:All_cells\",\"Cell:CTACACCCATCAGTCA
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCATCAGTTCGA
Exp:0
split.by:All_cells\",\"Cell:ATAGACCAGTGATCGG
Exp:2.536
split.by:All_cells\",\"Cell:GACACGCAGTATGACA
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCCATGATCCA
Exp:0
split.by:All_cells\",\"Cell:CGTCTACTCAGTCCCT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTCACTACAGT
Exp:1.916
split.by:All_cells\",\"Cell:GATCAGTTCCCGGATG
Exp:0
split.by:All_cells\",\"Cell:GATCTAGGTGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGGTCAGATAA
Exp:0
split.by:All_cells\",\"Cell:CTCGTACGTTGGTTTG
Exp:2.205
split.by:All_cells\",\"Cell:TTGGCAATCGAACGGA
Exp:0
split.by:All_cells\",\"Cell:CATCGAAGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTCAACTGT
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTCAAAGTGCG
Exp:0
split.by:All_cells\",\"Cell:GAAGCAGGTCTAGAGG
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTGTGCGCTTG
Exp:0
split.by:All_cells\",\"Cell:ATTCTACGTTTAGGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAATGCACATTTCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCCTGCTTG
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGAGCCCAA
Exp:0
split.by:All_cells\",\"Cell:GTGCAGCGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACGTTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTTCATTCACT
Exp:0
split.by:All_cells\",\"Cell:GATGCTATCCCTCTTT
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCACGCCAGT
Exp:1.134
split.by:All_cells\",\"Cell:GTGCGGTTCTGATTCT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTCACGAGGTA
Exp:0
split.by:All_cells\",\"Cell:TCTATTGGTCTAGCCG
Exp:3.255
split.by:All_cells\",\"Cell:TCACGAACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:CGAACATTCACAAACC
Exp:0
split.by:All_cells\",\"Cell:TCTATTGTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGACACTAA
Exp:0.995
split.by:All_cells\",\"Cell:GCGAGAAGTGGGTATG
Exp:1.181
split.by:All_cells\",\"Cell:TTCTCAAAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGTCTGTTGAG
Exp:0
split.by:All_cells\",\"Cell:ACATACGAGCTATGCT
Exp:0
split.by:All_cells\",\"Cell:ACGATACAGTCATCCA
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTTCATGGT
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCACGAGAGT
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGAGGCACATG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATTCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAATCGCAAACT
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGCATACTCTT
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATATGGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGCGTGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCCGCGCAA
Exp:0.873
split.by:All_cells\",\"Cell:CCTTCCCCAAAGTGCG
Exp:0.81
split.by:All_cells\",\"Cell:GTAACTGAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:AGCATACCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:CATCAAGGTGGTCTCG
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTGTCTCGTTC
Exp:5.921
split.by:All_cells\",\"Cell:CTGATAGAGCTCAACT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCTCGTCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCTCCAACC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAACATGGTCTA
Exp:0
split.by:All_cells\",\"Cell:GTTCATTAGGGTCTCC
Exp:0
split.by:All_cells\",\"Cell:GCGACCATCACCAGGC
Exp:0.996
split.by:All_cells\",\"Cell:GTACTTTCATGGTCAT
Exp:0
split.by:All_cells\",\"Cell:TCAGCAAAGCGATGAC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGTCTGGTTCC
Exp:4.545
split.by:All_cells\",\"Cell:TAGACCATCTTATCTG
Exp:2.727
split.by:All_cells\",\"Cell:AGACGTTAGCCGATTT
Exp:6.203
split.by:All_cells\",\"Cell:GAACCTACAGCGATCC
Exp:4.692
split.by:All_cells\",\"Cell:CCAATCCAGAGTAAGG
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTACAGTTC
Exp:0
split.by:All_cells\",\"Cell:CAGGTGCGTACAAGTA
Exp:0
split.by:All_cells\",\"Cell:GCTCCTATCTCACATT
Exp:0
split.by:All_cells\",\"Cell:TATCAGGCACCAGTTA
Exp:0
split.by:All_cells\",\"Cell:TGCTACCCATAAGACA
Exp:0
split.by:All_cells\",\"Cell:GATTCAGAGTACGTTC
Exp:6.885
split.by:All_cells\",\"Cell:CGGACTGCATCCCATC
Exp:0
split.by:All_cells\",\"Cell:GCGCCAACACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:AGGTCATTCTGCGTAA
Exp:0
split.by:All_cells\",\"Cell:CTACCCAGTCAAACTC
Exp:0
split.by:All_cells\",\"Cell:TGGCCAGAGCTACCTA
Exp:0
split.by:All_cells\",\"Cell:TGTCCCACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGAGGAATTAC
Exp:0
split.by:All_cells\",\"Cell:TACAGTGAGCGTTTAC
Exp:0
split.by:All_cells\",\"Cell:CGATTGAAGTCTTGCA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCGTCACAAGG
Exp:0
split.by:All_cells\",\"Cell:GTCTCGTCACGTGAGA
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTCAGCATACT
Exp:0
split.by:All_cells\",\"Cell:GCTTGAACATTTGCTT
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTGTTAAAGAC
Exp:0.539
split.by:All_cells\",\"Cell:GCTCTGTTCGCTTAGA
Exp:0
split.by:All_cells\",\"Cell:GATCAGTAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:GTACTTTAGATATGCA
Exp:1.16
split.by:All_cells\",\"Cell:ATGTGTGTCAAAGACA
Exp:0.913
split.by:All_cells\",\"Cell:TCAGATGGTAGATTAG
Exp:0
split.by:All_cells\",\"Cell:TGTCCCAAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCTCAGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CTAAGACTCACTCCTG
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCTTAGAGC
Exp:0
split.by:All_cells\",\"Cell:CACACCTCATTGTGCA
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTAGCGTAG
Exp:0
split.by:All_cells\",\"Cell:ACTGAACAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGATGGGTC
Exp:4.965
split.by:All_cells\",\"Cell:GGAAAGCGTACGCACC
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATTTCAGG
Exp:6.664
split.by:All_cells\",\"Cell:CCCTCCTGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTGTGAATA
Exp:0
split.by:All_cells\",\"Cell:TCGGTAACAGGGTACA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTCACCGAATT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTAGGAGTC
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGACGCTTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCTTCAAG
Exp:0
split.by:All_cells\",\"Cell:ATAAGAGTCCACGTTC
Exp:0
split.by:All_cells\",\"Cell:GATCGTAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTAAACT
Exp:0
split.by:All_cells\",\"Cell:CACCACTGTCGGCTCA
Exp:0.459
split.by:All_cells\",\"Cell:ACGAGCCCACTCTGTC
Exp:0.961
split.by:All_cells\",\"Cell:GCATGTATCACGATGT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGATGGGTC
Exp:3.575
split.by:All_cells\",\"Cell:CGCGTTTGTATTACCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCAGGTGTTAA
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCAGAGGTG
Exp:0
split.by:All_cells\",\"Cell:TTCGAAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGGTGATGCCC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGTCCAGAGGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGACAGTAAGAT
Exp:0
split.by:All_cells\",\"Cell:CATCGAAGTAGCGTCC
Exp:0
split.by:All_cells\",\"Cell:TGGACGCTCTTGTTTG
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGGTCACCTAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAAACGCGA
Exp:6.355
split.by:All_cells\",\"Cell:CGTCACTGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:GCGACCACACGTTGGC
Exp:0
split.by:All_cells\",\"Cell:CCATGTCGTTTGCATG
Exp:0
split.by:All_cells\",\"Cell:TGCCAAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGGTAGCCA
Exp:6.37
split.by:All_cells\",\"Cell:ACAGCCGAGAGAACAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACTAGAGCTTCGCG
Exp:0.924
split.by:All_cells\",\"Cell:CGGACTGCAGCCAATT
Exp:0
split.by:All_cells\",\"Cell:GACCAATAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:GGACGTCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:AGGTCCGAGTTACCCA
Exp:0
split.by:All_cells\",\"Cell:GGAAAGCGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:CCGGGATGTACCGCTG
Exp:0.641
split.by:All_cells\",\"Cell:CATCCACAGTCACGCC
Exp:0.458
split.by:All_cells\",\"Cell:CGCTATCCAGGCAGTA
Exp:1.004
split.by:All_cells\",\"Cell:TCAGGTACACTGTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTTCTCGTATT
Exp:0
split.by:All_cells\",\"Cell:CGGACGTAGACAGACC
Exp:0
split.by:All_cells\",\"Cell:AGTTGGTTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTCCAGTAT
Exp:0
split.by:All_cells\",\"Cell:TATGCCCAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATGACATC
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGCACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:ACCCACTTCTGAGGGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCTCGTTGCCT
Exp:0.932
split.by:All_cells\",\"Cell:ACGATGTTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TGACAACTCGCACTCT
Exp:1.069
split.by:All_cells\",\"Cell:GACGCGTCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CATATGGTCAACACAC
Exp:0
split.by:All_cells\",\"Cell:AGTGGGAGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ATTGGTGTCCAGTATG
Exp:0
split.by:All_cells\",\"Cell:GATGCTAAGCGATAGC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:TTCTCAACAGTTTACG
Exp:0
split.by:All_cells\",\"Cell:TCACAAGAGCATGGCA
Exp:2.05
split.by:All_cells\",\"Cell:GGAATAACACGACGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAGATGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:AACTTTCGTGACCAAG
Exp:0
split.by:All_cells\",\"Cell:CGAGAAGCACTTACGA
Exp:0
split.by:All_cells\",\"Cell:AACTCCCAGTACGACG
Exp:0
split.by:All_cells\",\"Cell:CGTTAGAAGTATCTCG
Exp:0
split.by:All_cells\",\"Cell:CCTATTACAAACGTGG
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTAGATCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCATTCGCAAGCCATT
Exp:0
split.by:All_cells\",\"Cell:GTATCTTGTACTCAAC
Exp:6.376
split.by:All_cells\",\"Cell:TGCTACCCAGGGCATA
Exp:0.828
split.by:All_cells\",\"Cell:GGAACTTAGGTTACCT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACGTTCAGTAC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCATCACATAGC
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGAGGAATGGA
Exp:0.87
split.by:All_cells\",\"Cell:ATTATCCCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCAACTGCGC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCAAAGAATC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTAGTCTCGGC
Exp:0
split.by:All_cells\",\"Cell:TCTGGAAGTCATCGGC
Exp:0
split.by:All_cells\",\"Cell:AAATGCCCACCAACCG
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCGCTTGTC
Exp:5.968
split.by:All_cells\",\"Cell:GGTGTTACACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGCAAGTCTGT
Exp:1.2
split.by:All_cells\",\"Cell:CGGACTGTCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTCAAATTGCC
Exp:0.83
split.by:All_cells\",\"Cell:ATTGGTGGTACTTGAC
Exp:0.906
split.by:All_cells\",\"Cell:GCCTCTAAGAGTTGGC
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGGTAACGACG
Exp:0
split.by:All_cells\",\"Cell:AAAGATGAGTCATGCT
Exp:0
split.by:All_cells\",\"Cell:GTACTCCCACGTCTCT
Exp:0
split.by:All_cells\",\"Cell:TTGAACGAGGAATCGC
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCGATAGAA
Exp:0
split.by:All_cells\",\"Cell:CTCTAATTCAGCGACC
Exp:0
split.by:All_cells\",\"Cell:TATGCCCAGAACAATC
Exp:1.023
split.by:All_cells\",\"Cell:AACCATGGTTGAACTC
Exp:0
split.by:All_cells\",\"Cell:CAGCATAGTAATAGCA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTTCCTCAATT
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCTGGCGAC
Exp:0
split.by:All_cells\",\"Cell:ATCACGATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:GAGCAGAGTTTGCATG
Exp:1.136
split.by:All_cells\",\"Cell:TGCACCTAGATAGTCA
Exp:0
split.by:All_cells\",\"Cell:CAGCCGAAGTGACTCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCTGGTATG
Exp:0
split.by:All_cells\",\"Cell:AGCTCCTAGTACACCT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGCGATGAC
Exp:0.562
split.by:All_cells\",\"Cell:TCCACACTCACGATGT
Exp:0
split.by:All_cells\",\"Cell:TCAGATGCACGACGAA
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCAACACTG
Exp:0
split.by:All_cells\",\"Cell:CTTAGGACATCTATGG
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAAGTAGATGT
Exp:0
split.by:All_cells\",\"Cell:ATCTACTGTGAACCTT
Exp:0
split.by:All_cells\",\"Cell:CGATGTAGTGGTACAG
Exp:1.195
split.by:All_cells\",\"Cell:CTAGCCTGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTGAGTGT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTGACAT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCTCCATGAGT
Exp:0.668
split.by:All_cells\",\"Cell:CAGCTAAGTACCGAGA
Exp:0
split.by:All_cells\",\"Cell:ACTGAGTGTTTCGCTC
Exp:0
split.by:All_cells\",\"Cell:AGAGCGATCTCTTGAT
Exp:0.814
split.by:All_cells\",\"Cell:GAAGCAGTCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:GTCGTAAAGGTGATTA
Exp:0
split.by:All_cells\",\"Cell:CACACTCAGGCGCTCT
Exp:0.998
split.by:All_cells\",\"Cell:TGGGAAGGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CGCGGTACATTAGGCT
Exp:6.505
split.by:All_cells\",\"Cell:GAATGAAAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTGTTCGTCTC
Exp:0
split.by:All_cells\",\"Cell:CTGGTCTTCGTTACAG
Exp:0
split.by:All_cells\",\"Cell:TCTCTAAAGCTGGAAC
Exp:0
split.by:All_cells\",\"Cell:CGGTTAAAGTAGCGGT
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CCTTACGCAAGGTGTG
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCACGAAGCA
Exp:0
split.by:All_cells\",\"Cell:CAACCTCGTCTAAACC
Exp:1.01
split.by:All_cells\",\"Cell:AGCGGTCGTACCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTCGTCATCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGCAGTATAAG
Exp:6.843
split.by:All_cells\",\"Cell:GGCCGATGTCAAACTC
Exp:0
split.by:All_cells\",\"Cell:TTCTACAGTGTTGAGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGAGCGCCTTG
Exp:0
split.by:All_cells\",\"Cell:GATCGATCAGTCGATT
Exp:6.682
split.by:All_cells\",\"Cell:TTGGCAACATCATCCC
Exp:0
split.by:All_cells\",\"Cell:TTTATGCTCCATTCTA
Exp:0
split.by:All_cells\",\"Cell:AACTTTCAGGCATTGG
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCAGATGGCGT
Exp:0
split.by:All_cells\",\"Cell:TACGGTAGTGTGCCTG
Exp:1.584
split.by:All_cells\",\"Cell:ACTGCTCAGATATGCA
Exp:0.724
split.by:All_cells\",\"Cell:GGCGTGTTCGTGGGAA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCAGGAGTTGC
Exp:0
split.by:All_cells\",\"Cell:CTGAAACAGGAGTAGA
Exp:6.219
split.by:All_cells\",\"Cell:CATGGCGAGCCCTAAT
Exp:0
split.by:All_cells\",\"Cell:ACATGGTCAAGGACTG
Exp:1.064
split.by:All_cells\",\"Cell:GGCGTGTGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCTCTAGC
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCAAAGAATC
Exp:0.589
split.by:All_cells\",\"Cell:GCTCTGTAGCCACCTG
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCACAGGCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGTCATCGATG
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGGTGTGGT
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACACGGCCAT
Exp:0
split.by:All_cells\",\"Cell:CGTGTAATCCATGCTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGCATCAGTAC
Exp:0
split.by:All_cells\",\"Cell:GGGATGAAGGGCATGT
Exp:5.62
split.by:All_cells\",\"Cell:CTCGTACGTTCCGTCT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGACATGGTTGT
Exp:4.867
split.by:All_cells\",\"Cell:ATCTGCCGTCAGAAGC
Exp:6.057
split.by:All_cells\",\"Cell:CGTTCTGAGAGCAATT
Exp:1.002
split.by:All_cells\",\"Cell:CACACAACACACTGCG
Exp:0
split.by:All_cells\",\"Cell:TAGGCATTCGTTGCCT
Exp:0
split.by:All_cells\",\"Cell:TCTCTAATCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:ACACCCTGTCAGATAA
Exp:0
split.by:All_cells\",\"Cell:AGATCTGTCGATCCCT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTTCTCGCTTG
Exp:0
split.by:All_cells\",\"Cell:CTACGTCAGTCTCGGC
Exp:1.082
split.by:All_cells\",\"Cell:CATCCACTCTTCTGGC
Exp:0.649
split.by:All_cells\",\"Cell:TCTCATACAGATCTGT
Exp:0
split.by:All_cells\",\"Cell:CACACCTCACTGCCAG
Exp:7.095
split.by:All_cells\",\"Cell:CTCGTACCAATGGATA
Exp:0
split.by:All_cells\",\"Cell:ACACCAAAGTAGGCCA
Exp:0
split.by:All_cells\",\"Cell:TACACGAGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGTATTGGA
Exp:0
split.by:All_cells\",\"Cell:AGACGTTTCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTGTGAATA
Exp:5.09
split.by:All_cells\",\"Cell:GCACTCTGTCTGCAAT
Exp:0
split.by:All_cells\",\"Cell:TGTGGTACAAGACGTG
Exp:0.533
split.by:All_cells\",\"Cell:AGGCCGTCACGACGAA
Exp:1.333
split.by:All_cells\",\"Cell:TATGCCCTCTTACCTA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTCACGGACAA
Exp:0
split.by:All_cells\",\"Cell:GTCGGGTGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCGTAGGTT
Exp:0
split.by:All_cells\",\"Cell:CGTCTACGTTTCCACC
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCAGACATAAC
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGAGTGGAGAA
Exp:0
split.by:All_cells\",\"Cell:CTGATAGTCGGCTACG
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACGTCCATCCT
Exp:0
split.by:All_cells\",\"Cell:CATGACAGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:GACCAATAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:CAGCGACCATATGGTC
Exp:1.645
split.by:All_cells\",\"Cell:TGCTGCTGTCCGTCAG
Exp:0
split.by:All_cells\",\"Cell:TCAGATGCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:TATCAGGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:GGGAATGGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:TAGTTGGAGTCAAGCG
Exp:0
split.by:All_cells\",\"Cell:TACCTATTCGTTACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGAGGGAAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTTCCTTTCGG
Exp:0
split.by:All_cells\",\"Cell:TGATTTCAGTGGAGTC
Exp:0
split.by:All_cells\",\"Cell:CTAACTTAGATCACGG
Exp:1.27
split.by:All_cells\",\"Cell:CATCAGAGTCCGAATT
Exp:0
split.by:All_cells\",\"Cell:GAAATGATCGTCCGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCCACTCCA
Exp:4.442
split.by:All_cells\",\"Cell:GTTCGGGAGGCAATTA
Exp:1.14
split.by:All_cells\",\"Cell:GCGCCAATCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:AGTGGGATCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:CGACTTCGTTGATTCG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTAACGACG
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCTCTTCCTTC
Exp:5.553
split.by:All_cells\",\"Cell:ACTGATGGTTCCTCCA
Exp:6.877
split.by:All_cells\",\"Cell:AAGGAGCAGTACATGA
Exp:1.013
split.by:All_cells\",\"Cell:CAGCTAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:TACTTACGTGTGGCTC
Exp:1.085
split.by:All_cells\",\"Cell:ATGCGATTCGCGTAGC
Exp:2.827
split.by:All_cells\",\"Cell:ATTGGACAGTCAAGGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGTCCGCTGTT
Exp:0.886
split.by:All_cells\",\"Cell:TGCGGGTAGACGCACA
Exp:1.117
split.by:All_cells\",\"Cell:ATGAGGGGTTCTGGTA
Exp:0
split.by:All_cells\",\"Cell:CGACCTTAGCTGCCCA
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTGCCTGCA
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:GTATTCTAGGTGCTTT
Exp:0
split.by:All_cells\",\"Cell:TCTGGAATCGGTGTCG
Exp:0
split.by:All_cells\",\"Cell:GACGTTAAGACGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCGTAGAGGACGG
Exp:0
split.by:All_cells\",\"Cell:ATGAGGGCAAGGTTTC
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTCAAAGCAAT
Exp:0
split.by:All_cells\",\"Cell:CATCGGGTCATTTGGG
Exp:6.699
split.by:All_cells\",\"Cell:ACATACGGTAAACACA
Exp:0
split.by:All_cells\",\"Cell:CTGCTGTGTTATCACG
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTAGTGCCATT
Exp:0
split.by:All_cells\",\"Cell:CCACGGAGTCTCTTAT
Exp:0.859
split.by:All_cells\",\"Cell:CCATTCGCATGAAGTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCTGCTGCT
Exp:5.622
split.by:All_cells\",\"Cell:ACGATGTTCTGCTGCT
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTCACCATCCT
Exp:0.718
split.by:All_cells\",\"Cell:TAGTTGGGTACCGTAT
Exp:0
split.by:All_cells\",\"Cell:GCGCAACCAACACCTA
Exp:0
split.by:All_cells\",\"Cell:CCAGCGAGTACCGTAT
Exp:6.716
split.by:All_cells\",\"Cell:AGCGTATCATCTCCCA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCCTGTAGA
Exp:0.83
split.by:All_cells\",\"Cell:GGAAAGCTCTCGGACG
Exp:0.882
split.by:All_cells\",\"Cell:ACTGATGGTCCGACGT
Exp:0.875
split.by:All_cells\",\"Cell:GTAACGTCAGCCTATA
Exp:0.796
split.by:All_cells\",\"Cell:GGGAGATAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCTAACTCT
Exp:0
split.by:All_cells\",\"Cell:GAAATGACATCTACGA
Exp:6.084
split.by:All_cells\",\"Cell:GTGTGCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TCTCATAGTTACCAGT
Exp:0
split.by:All_cells\",\"Cell:ACGTCAACACGGTGTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:TGTATTCCAATGACCT
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTAGCTAGCCC
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGAGCTGGT
Exp:0
split.by:All_cells\",\"Cell:GGCAATTTCCGAATGT
Exp:0
split.by:All_cells\",\"Cell:GATCGTAGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATCAAGCCGCT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACAGTGG
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTAGCAGGCTA
Exp:0
split.by:All_cells\",\"Cell:CCACTACGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:GGAAAGCAGGCATGGT
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTAAAGTCA
Exp:0
split.by:All_cells\",\"Cell:TAAACCGAGTCGTACT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGTCATCGCTC
Exp:0
split.by:All_cells\",\"Cell:CACCACTCACGAAATA
Exp:5.749
split.by:All_cells\",\"Cell:CGTAGGCTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:TCGCGTTTCTCTGCTG
Exp:0
split.by:All_cells\",\"Cell:GGACAAGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGCCCAGCT
Exp:0
split.by:All_cells\",\"Cell:TCACGAATCCTATGTT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTGGCTCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCAAGGCTT
Exp:5.952
split.by:All_cells\",\"Cell:ATAACGCAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:ATTCTACTCAGGTAAA
Exp:0.583
split.by:All_cells\",\"Cell:CTGATCCCAAGCGTAG
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGGCGTG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAAGTCCGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGAATGAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CACAGGCTCAAGATCC
Exp:1.194
split.by:All_cells\",\"Cell:ACGAGCCAGTTCGCAT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTTCGCCATAA
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGAGTACCG
Exp:0.77
split.by:All_cells\",\"Cell:AGCCTAAAGCCCAACC
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGGTCTAGCCG
Exp:6.769
split.by:All_cells\",\"Cell:AGTGGGACAGTATCTG
Exp:1.13
split.by:All_cells\",\"Cell:CAACCAATCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:TGTCCCATCTTGACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCCATCAGTCGTGC
Exp:0
split.by:All_cells\",\"Cell:GTTTCTAGTCCTCTTG
Exp:6.64
split.by:All_cells\",\"Cell:GCACATACATTACGAC
Exp:0
split.by:All_cells\",\"Cell:ATGGGAGTCGGTTCGG
Exp:0
split.by:All_cells\",\"Cell:ATAAGAGTCCGAACGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCGAAGCTTCGCG
Exp:0
split.by:All_cells\"]],\"marker\":{\"color\":[0,0,0.5363020310526696,0,0.85834364228861726,0,0,0,0,0,0,0,0,6.5903626033599245,0,0.58446387423818602,1.7590506486611548,0,0,0,0,0,0,0,0,0,0,6.564934374183121,0,0.80200710120704033,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.4175396885494673,0,0,0,0,0,0,0,3.3967532335013595,0,0,0,0,0,0,0,0,0,0,0,0,0,6.8991565489331688,3.8451690674129457,0.65647703525238443,0,3.4155638737363416,0,4.6261537307613132,0,0,0,0,0,0,0,0,0,5.9302964645203806,0,0,0,0,0,1.1591511332137532,0.82687951762400669,5.4761565562199275,0,0,0,0,0,0,0,0.95827694717270762,0,0,1.0373840049978695,0,0,0,0,0,0,0,0.53518501380637074,0,0,0,0,0,1.2467245172980768,0,0,0,0,1.0749194334546583,0,0,0,0,0.82063452426202566,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.8548349081798684,0,0,0,0,0,0.81483887047503578,0,0,0,0.94136460767038332,1.1436247638853125,0.98062096740975691,0,0,0,0,0,0,0,0,3.4934910294112305,0,0,6.3493902040924324,1.0376193042571991,0,5.7304049494973901,0,0,0,0,0,0,0.78295617695079645,0,1.3060133215442207,0,0,5.9840763450355867,5.2535799183778007,6.4601729070144414,0,0,0.5837268208367854,0,0,0,2.5328555056735049,0,0,0,1.4195568938051566,0,0,0,0,5.2156782889269069,0.88428892518565527,0,0,0,0,0,0,3.0200920204050612,0,0,0,0,0,0,0,0,0,0.92370433720377143,0,4.7312609296734243,0,0,0,0,0.79923561626434947,6.5147257434876211,6.3336810287828538,0,0,0,0,4.9027611378301303,0.7341815725937807,0,0,3.1312158113369293,0.69125257960432929,0,0,0,0,0,0.94346749495911175,0,0,0,0,0,5.8248000986954613,0,0,0,0.88679929818830572,0,0,0,1.0154347821892018,0,1.021196356378167,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.3514100666239552,0,0,0,0,6.2974585760989035,0,0,0,1.1795037531371839,0,0,0,0,0,0,0,0,0,0,0,1.1110314547683469,0.89682254342058987,1.0112987368123583,4.9101988914654298,0,0,0,0,0,0,0,0,0,0,0.96728391600155406,0,0,0,7.0888980247935711,0,0,0,0,1.0067579806335121,6.8197016489724911,0,6.2966493064154143,0,0,0,0,0.56567158678748464,0.66581390378271954,1.3604971319995556,0,0,0.69859129119332231,0,3.924687790045895,0,0,0.68514437146020968,0,0,1.0292210133614934,0,0.84547345851286804,0,6.4295737666582902,5.8207011784012579,0,0,0,0,0,0,0,0,0.89118676060054414,0,0,0,0,6.8563255462241504,0,0,0,0,0,1.5067078235450475,0,0,0,0,0,0,0,0,0,0,0,0.71869108834985873,0,0,0,0.82818414286796316,0,0,1.5758999670759528,0,0,0,6.0482122354934358,0,0,0,0,0,0,0,0,0,0,0,0,0,1.0671014171101603,0,0,0,1.3991048451970876,0,2.3858016991754396,4.2929013571102566,0,0,0,1.1132229381855445,0,0,0,0,0,0,0.91062837134209607,0.7020136097655868,0,0,0,0,6.3678100615075408,0,0,5.6184393563308337,0,0,0,0,0,0.82478672839274314,0,0,0,0,1.168999547848254,0,0,0,0.92370433720377143,0,1.2174034355222048,0,0,0,0,0,0,0,0,0,0,0,0,0,2.5788459374359265,0,0,6.6461920896592028,0.96839728802492864,0,0,0.67543037334022604,0,0,0,0,0,0.77215033120619725,0,0,0,4.5067437904531449,0.48751140359713946,0,0,0,0,0,0,5.6618052659934532,0,4.9343037525497762,0,5.5854907926271133,0,1.3777678271018075,0.73480216138409227,0,0,0,0,6.1912936948781532,0,0,0,0.68319782990625766,0,0,0,0,5.5299741676354515,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.1969488872746223,2.6806024513767488,0,1.0297994513881439,1.0454499165973181,0,0,0,0,4.0355873293788012,0,0,0,0.66659673599991853,0,0,6.2238401140925692,0.70490094754299493,0,0,0.81420801591369352,0,0,0,0,1.0618755606385948,4.4365307988926697,0,1.2490255778238575,6.458020591740671,0,0,0,0,0,1.0618755606385948,0.97451917011161227,0,0,0,0,0,0,0,6.4756264664136056,0,0,0,0,0,0,0,1.0711209308034144,0,0,0,2.5359092042403728,0,0,0,1.9155080763143859,0,0,0,2.2045468558381995,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.1339555586720977,0,0,3.2548570198198963,0,0,0,0.99522042663314458,1.1807533782365882,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.87252761004996249,0.81009778463575344,0,0,0,5.9205381526780831,0,0,0,0,0,0,0.99608120092862174,0,0,4.5454094855943818,2.727491063596295,6.2032277169374881,4.6922637764068744,0,0,0,0,0,0,6.8848764241090921,0,0,0,0,0,0,0,0,0,0,0,0,0,0.53890723016245656,0,0,1.1603532983133578,0.91339057586416483,0,0,0,0,0,0,0,0,4.9652206087300472,0,6.6643607761354771,0,0,0,0,0,0,0,0,0,0,0.45931445208545546,0.96115942813540989,0,3.5749944358064694,0,0,0,0,0,0,0,0,0,0,0,0,6.3554493013451347,0,0,0,0,6.3697016093356584,0,0,0.92388750574622214,0,0,0,0,0,0.64113472037368935,0.45839310503017811,1.004449284717891,0,0,0,0,0,0,0,0,0,0.93221137493966544,0,1.0691070427582754,0,0,0,0,0,0,0,2.0498897179285755,0,0,0,0,0,0,0,0,0,6.37552690299853,0.82767627212309203,0,0,0,0,0.86969942374593545,0,0,0,0,0,0,5.967885683473872,0,1.1996965125997221,0,0,0,0.8303682120802004,0.90612271031731961,0,0,0,0,0,0,0,1.0232468372056946,0,0,0,0,0,1.1362481638269797,0,0,0,0,0.56204801505165158,0,0,0,0,0,0,0,1.1951784870591609,0,0,0,0.66765890488495805,0,0,0.81434811676958674,0,0,0.99824019858334512,0,6.5048682598537546,0,0,0,0,0,0,0,0,1.0104092531462008,0,0,6.8428101933549348,0,0,0,6.6816240575548456,0,0,0,0,0,1.5838568557105184,0.72385123217815561,0,0,6.2190663438761096,0,1.0642326957735531,0,0,0.58874828049028349,0,0,0,0,0,0,0,0,5.6203401128924284,0,4.8667161367147358,6.0571497793556928,1.0022611579964082,0,0,0,0,0,0,0,0,1.0819605337784988,0.64888638523880859,0,7.0951036125140918,0,0,0,0,0,5.0897596988905747,0,0.53252931374985135,1.3334410499327689,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.644583988156501,0,0,0,0,0,0,0,0,0,0,1.2704513066721319,0,0,4.4421113560248262,1.1399955888340181,0,0,0,0,0,5.5531134924235133,6.8771170924589251,1.0134180796289054,0,1.0848053632220065,2.8272101368331413,0,0.88554221779072417,1.1173577438413458,0,0,0,0,0,0,0,0,0,0,6.6988761845482045,0,0,0,0.85865700889428154,0,5.6216471186230397,0,0.71750702722247672,0,0,6.715856297406658,0,0,0,0.8295659746759394,0.88154492559337894,0.87488581690603262,0.79635051361125997,0,0,6.083725555507602,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5.7491631219723631,0,0,0,0,0,0,5.9517897777140476,0,0.58267719688624875,0,0,0,0,1.1938945904110732,0,0,0.76990205738238604,0,6.7692827770491482,1.1299679927546471,0,0,0,6.6402050989598456,0,0,0,0],\"colorbar\":{\"title\":{\"text\":\"Gcg\",\"font\":{\"color\":\"black\",\"size\":14}},\"len\":0.5},\"size\":1.5,\"showscale\":true}}],\"label\":\"Gcg\"},{\"method\":\"update\",\"args\":[{\"text\":[[\"Cell:CAGCCGAAGCGATATA
Exp:0
split.by:All_cells\",\"Cell:AGTGTCATCGCCGTGA
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGTTGTAGA
Exp:0
split.by:All_cells\",\"Cell:CACAGTACATCCGTGG
Exp:1.536
split.by:All_cells\",\"Cell:CGGAGCTCATTGGGCC
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTGTGTGACCC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:ACCGTAACAAGGTTCT
Exp:5.571
split.by:All_cells\",\"Cell:CCACTACAGGTGGGTT
Exp:3.324
split.by:All_cells\",\"Cell:TGCGTGGGTCCCTTGT
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTGTCTTCTCG
Exp:0
split.by:All_cells\",\"Cell:CCGTGGACACGAAGCA
Exp:0
split.by:All_cells\",\"Cell:GAACATCAGCAATATG
Exp:0
split.by:All_cells\",\"Cell:TTCTACACAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:ACGGCCACACGTGAGA
Exp:0
split.by:All_cells\",\"Cell:CTCGTACAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CGTCTACAGATGCGAC
Exp:0
split.by:All_cells\",\"Cell:CTCACACGTCACACGC
Exp:0
split.by:All_cells\",\"Cell:AAAGCAACACGGTAAG
Exp:0
split.by:All_cells\",\"Cell:CATCGGGCACGTTGGC
Exp:0
split.by:All_cells\",\"Cell:ATCATCTGTGTTTGTG
Exp:0
split.by:All_cells\",\"Cell:CAAGGCCCAAGAAAGG
Exp:5.327
split.by:All_cells\",\"Cell:AGATCTGGTTCGGCAC
Exp:0
split.by:All_cells\",\"Cell:CTCTGGTCAAGACACG
Exp:5.037
split.by:All_cells\",\"Cell:TACAGTGTCCCTAACC
Exp:0
split.by:All_cells\",\"Cell:GGACAGATCAGCATGT
Exp:0
split.by:All_cells\",\"Cell:CACTCCACATATGGTC
Exp:0
split.by:All_cells\",\"Cell:GTTCATTGTTCCAACA
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCCAATAGCAA
Exp:4.243
split.by:All_cells\",\"Cell:TACTCGCTCTTCGGTC
Exp:0.802
split.by:All_cells\",\"Cell:GCTGCTTTCCTCGCAT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTGTCTAGAGG
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:CGAGCACTCTAACTCT
Exp:0
split.by:All_cells\",\"Cell:GATCGTAAGTGCAAGC
Exp:1.661
split.by:All_cells\",\"Cell:TGTCCCAGTCTCGTTC
Exp:4.039
split.by:All_cells\",\"Cell:CTTGGCTCAGCCACCA
Exp:0
split.by:All_cells\",\"Cell:GGGTCTGGTAAACCTC
Exp:0
split.by:All_cells\",\"Cell:CGGACTGTCTTGAGAC
Exp:4.28
split.by:All_cells\",\"Cell:GGTGCGTTCTGGTATG
Exp:5.547
split.by:All_cells\",\"Cell:TACCTTATCCGATATG
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCTCTATCGCC
Exp:0
split.by:All_cells\",\"Cell:GTACGTACATCGATGT
Exp:0
split.by:All_cells\",\"Cell:TCGTAGATCTTTACGT
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGAGAGTGAGA
Exp:0
split.by:All_cells\",\"Cell:AGCGTATTCTGCTGTC
Exp:1.089
split.by:All_cells\",\"Cell:GGACAAGTCATAACCG
Exp:0
split.by:All_cells\",\"Cell:ACATCAGTCCTTGGTC
Exp:0
split.by:All_cells\",\"Cell:CCAGCGACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:GGACAGAAGTGGAGAA
Exp:0
split.by:All_cells\",\"Cell:GACTACAAGCGTGTCC
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTAGAGCTG
Exp:6.068
split.by:All_cells\",\"Cell:GTTCTCGCAAGTCTAC
Exp:0
split.by:All_cells\",\"Cell:CGAATGTTCTTCATGT
Exp:0
split.by:All_cells\",\"Cell:CCGTGGACATTCCTGC
Exp:5.446
split.by:All_cells\",\"Cell:CTAATGGAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:AGCGGTCGTCGAATCT
Exp:0.885
split.by:All_cells\",\"Cell:GTATTCTTCACTTACT
Exp:0
split.by:All_cells\",\"Cell:CAGTCCTAGGTGGGTT
Exp:0
split.by:All_cells\",\"Cell:CGACTTCCACAACGTT
Exp:0
split.by:All_cells\",\"Cell:AAACGGGTCCGCGCAA
Exp:0
split.by:All_cells\",\"Cell:CTAGTGACATTGAGCT
Exp:0
split.by:All_cells\",\"Cell:CTCCTAGAGAGTGACC
Exp:0
split.by:All_cells\",\"Cell:GCAGTTATCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:CGAACATCAAGCGAGT
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGCGAAGGG
Exp:2.598
split.by:All_cells\",\"Cell:CATCGGGAGGCCCTTG
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGCTGCAAG
Exp:0
split.by:All_cells\",\"Cell:CAGAATCCACGCATCG
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CGGACACTCTATCCTA
Exp:0
split.by:All_cells\",\"Cell:CGTGTAATCATTATCC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAAGTTAAGATG
Exp:1.317
split.by:All_cells\",\"Cell:ATTTCTGTCCCTGACT
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CAGATCACAACCGCCA
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGCATTCCTCG
Exp:0
split.by:All_cells\",\"Cell:CCACGGACAGATGAGC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAAGAAGATTC
Exp:0
split.by:All_cells\",\"Cell:CATGACACAAAGTCAA
Exp:1.077
split.by:All_cells\",\"Cell:AACGTTGTCAGTTAGC
Exp:0
split.by:All_cells\",\"Cell:CTGGTCTAGGTGATTA
Exp:0
split.by:All_cells\",\"Cell:TCAGGATTCCAGTAGT
Exp:0
split.by:All_cells\",\"Cell:CATTATCGTCATATCG
Exp:0
split.by:All_cells\",\"Cell:GCGCAACAGTGTACCT
Exp:0
split.by:All_cells\",\"Cell:GTGCATACAATAGCAA
Exp:0
split.by:All_cells\",\"Cell:TTTACTGGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:GTAGTCAGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:CCTACACGTTCTCATT
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCTCAACACGT
Exp:0
split.by:All_cells\",\"Cell:CTAACTTGTAGGAGTC
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:GTAGGCCGTTACCAGT
Exp:4.786
split.by:All_cells\",\"Cell:TCTCATATCAGAGCTT
Exp:2.146
split.by:All_cells\",\"Cell:GCTGGGTGTCATACTG
Exp:0
split.by:All_cells\",\"Cell:GGGAATGTCGACCAGC
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCAGGGTTTCT
Exp:0
split.by:All_cells\",\"Cell:CGGACTGAGGTAGCTG
Exp:0
split.by:All_cells\",\"Cell:CAACCTCTCTCTGTCG
Exp:0
split.by:All_cells\",\"Cell:CTGAAACGTTCCCTTG
Exp:0
split.by:All_cells\",\"Cell:GTAGTCAGTACTCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCACCTATCC
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTACCGTTA
Exp:0
split.by:All_cells\",\"Cell:TTCTACAAGATCGATA
Exp:0
split.by:All_cells\",\"Cell:TCACAAGCACCGAAAG
Exp:0
split.by:All_cells\",\"Cell:TCGGGACGTCATCGGC
Exp:0.871
split.by:All_cells\",\"Cell:ACGCCAGAGGAACTGC
Exp:0
split.by:All_cells\",\"Cell:CATATGGCATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:ATCATCTTCTGTCAAG
Exp:0
split.by:All_cells\",\"Cell:CCGTTCACAGTAGAGC
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:TTTGTCAGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:ATTATCCAGACCCACC
Exp:0
split.by:All_cells\",\"Cell:CACCACTCAATCTACG
Exp:0
split.by:All_cells\",\"Cell:GCGCGATGTCCGAATT
Exp:5.859
split.by:All_cells\",\"Cell:CATTATCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGCTAAGAT
Exp:0
split.by:All_cells\",\"Cell:GCGCGATTCGCGTAGC
Exp:0
split.by:All_cells\",\"Cell:CTACATTCACCGTTGG
Exp:0
split.by:All_cells\",\"Cell:TCATTTGCATTGGCGC
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCCAGGAATGC
Exp:0
split.by:All_cells\",\"Cell:GGGATGAGTCTGCGGT
Exp:1.133
split.by:All_cells\",\"Cell:TGCGCAGTCTGCCAGG
Exp:0
split.by:All_cells\",\"Cell:AGCGTATTCTCGTATT
Exp:0
split.by:All_cells\",\"Cell:GTCTCGTAGATCTGCT
Exp:4.38
split.by:All_cells\",\"Cell:CAGAATCGTGTAAGTA
Exp:0
split.by:All_cells\",\"Cell:TGACTTTAGGTCATCT
Exp:0
split.by:All_cells\",\"Cell:GTGCATATCAGAGACG
Exp:0
split.by:All_cells\",\"Cell:TGGCCAGCACGAAAGC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCACAATGTTGC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACGTCTGATCA
Exp:0
split.by:All_cells\",\"Cell:CAGCGACAGATCACGG
Exp:2.429
split.by:All_cells\",\"Cell:AAAGATGAGTGAACAT
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTGTCAGAGGT
Exp:0
split.by:All_cells\",\"Cell:ATTTCTGAGAAGATTC
Exp:0
split.by:All_cells\",\"Cell:CTCTAATTCACCATAG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTTCTTGTCAT
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:CCTAAAGTCATGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCACAGCTGTCTA
Exp:0
split.by:All_cells\",\"Cell:GAAATGACACATGACT
Exp:0
split.by:All_cells\",\"Cell:ACTGAGTAGGCTAGGT
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGAGCTGCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCACAGATCGGA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTTCTGGTGTA
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTCATACTCTT
Exp:1.202
split.by:All_cells\",\"Cell:ACTATCTGTCAGGACA
Exp:2.081
split.by:All_cells\",\"Cell:CTGAAACTCGATAGAA
Exp:0
split.by:All_cells\",\"Cell:GTTCTCGCAGCTGGCT
Exp:0
split.by:All_cells\",\"Cell:CATATGGAGGCCCGTT
Exp:0
split.by:All_cells\",\"Cell:ACTGAACAGCCTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGGTGCCT
Exp:0
split.by:All_cells\",\"Cell:CCCTCCTAGACCCACC
Exp:0
split.by:All_cells\",\"Cell:TTAACTCGTCCGAACC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCCATAAAGGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCAAACCAC
Exp:0
split.by:All_cells\",\"Cell:GTTCTCGGTTTGTGTG
Exp:0
split.by:All_cells\",\"Cell:ACATCAGTCCGTTGTC
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCCTTTCTC
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGCCAACAG
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGTAGGCCA
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCACGAGGTA
Exp:0.886
split.by:All_cells\",\"Cell:GGACAGAAGGCCGAAT
Exp:2.314
split.by:All_cells\",\"Cell:ACTGTCCCACGTAAGG
Exp:0
split.by:All_cells\",\"Cell:TCCACACCAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:CACACCTGTCGCTTTC
Exp:0
split.by:All_cells\",\"Cell:GGCTCGAGTCGCTTCT
Exp:0
split.by:All_cells\",\"Cell:TGGCTGGCAGTGAGTG
Exp:0
split.by:All_cells\",\"Cell:GATGAAACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:TTCTTAGTCGCAGGCT
Exp:0.975
split.by:All_cells\",\"Cell:TCCCGATGTAAGTGTA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCTGCTGTC
Exp:4.837
split.by:All_cells\",\"Cell:GATCGCGAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGTGGTAGC
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTAAGAGAG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAGTTCGCTAA
Exp:0
split.by:All_cells\",\"Cell:CCATTCGGTGCTAGCC
Exp:0
split.by:All_cells\",\"Cell:CCACTACTCTTTAGTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTGAAATCA
Exp:0
split.by:All_cells\",\"Cell:ACCGTAATCTATCCCG
Exp:0
split.by:All_cells\",\"Cell:ACTTACTCAATACGCT
Exp:0
split.by:All_cells\",\"Cell:GAACGGATCACAACGT
Exp:0
split.by:All_cells\",\"Cell:CGGTTAAGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:CAAGAAACACTAGTAC
Exp:0
split.by:All_cells\",\"Cell:AGTTGGTGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:CGTCCATGTCTAACGT
Exp:3.477
split.by:All_cells\",\"Cell:CAGCTAACAACACGCC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACCATACGCTA
Exp:3.69
split.by:All_cells\",\"Cell:CTCGTACCAGCCAGAA
Exp:0
split.by:All_cells\",\"Cell:ATTATCCGTATAAACG
Exp:0
split.by:All_cells\",\"Cell:GTACTTTTCAGTTCGA
Exp:0
split.by:All_cells\",\"Cell:AGTAGTCCACATGACT
Exp:0
split.by:All_cells\",\"Cell:AGTGAGGTCTGTTGAG
Exp:0
split.by:All_cells\",\"Cell:TCTCATAAGCAGATCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGATCAGGATCT
Exp:2.694
split.by:All_cells\",\"Cell:AGCAGCCCAAGTCATC
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTACTTCTT
Exp:4.918
split.by:All_cells\",\"Cell:GTCCTCAAGTTCGATC
Exp:0
split.by:All_cells\",\"Cell:GCCAAATGTAAACACA
Exp:0
split.by:All_cells\",\"Cell:ACTTACTGTTTGGGCC
Exp:0
split.by:All_cells\",\"Cell:ACTTACTCACCGTTGG
Exp:3.315
split.by:All_cells\",\"Cell:CAGAGAGAGGACCACA
Exp:0
split.by:All_cells\",\"Cell:AAGACCTGTGGCTCCA
Exp:0
split.by:All_cells\",\"Cell:AACTTTCCACAGTCGC
Exp:0
split.by:All_cells\",\"Cell:CAGATCATCTCGATGA
Exp:0
split.by:All_cells\",\"Cell:TGTTCCGGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:GCGCCAAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTTCGCACTCT
Exp:0
split.by:All_cells\",\"Cell:GTAACTGTCAGTGCAT
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:CGCCAAGTCTAAGCCA
Exp:1.731
split.by:All_cells\",\"Cell:ACTATCTTCATGTAGC
Exp:5.362
split.by:All_cells\",\"Cell:ATGCGATGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGACAGACC
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACAGTCACTA
Exp:0
split.by:All_cells\",\"Cell:TATCTCACATTGTGCA
Exp:2.982
split.by:All_cells\",\"Cell:CGTAGCGAGACTGTAA
Exp:0
split.by:All_cells\",\"Cell:ACGATGTGTCGCGGTT
Exp:0
split.by:All_cells\",\"Cell:CTCTGGTTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTAGTAAGTAC
Exp:0
split.by:All_cells\",\"Cell:CAGAATCCACAAGCCC
Exp:4.816
split.by:All_cells\",\"Cell:GTAACTGGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AACTTTCGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCAATCCGAT
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCAGTGTCCCG
Exp:4.8
split.by:All_cells\",\"Cell:TATTACCGTTGAGTTC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCATCAGAGCTT
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCGCCTGAG
Exp:0
split.by:All_cells\",\"Cell:TCGTACCCATATACGC
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCGTTGATTCG
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTCATTCGACA
Exp:0
split.by:All_cells\",\"Cell:GGTGTTACATGTTGAC
Exp:1.223
split.by:All_cells\",\"Cell:CCTCTGACATCGGTTA
Exp:0
split.by:All_cells\",\"Cell:CTCTACGCACTAAGTC
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGGTGAAGGCT
Exp:0
split.by:All_cells\",\"Cell:ACGTCAACAGACAAAT
Exp:0.771
split.by:All_cells\",\"Cell:TCGAGGCAGTTAACGA
Exp:0
split.by:All_cells\",\"Cell:CAAGTTGTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTACTTGAC
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTTCTTGAGGT
Exp:0
split.by:All_cells\",\"Cell:GCACATAAGCAATATG
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGTGACATA
Exp:0
split.by:All_cells\",\"Cell:TGTGGTACAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TAAGAGACAGTAGAGC
Exp:3.432
split.by:All_cells\",\"Cell:CACATTTTCGAGGTAG
Exp:4.712
split.by:All_cells\",\"Cell:AGACGTTCAATGGTCT
Exp:5.391
split.by:All_cells\",\"Cell:GGAACTTGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGATCTAGCACA
Exp:0
split.by:All_cells\",\"Cell:CGTAGCGTCACTATTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCACTGTGTA
Exp:0
split.by:All_cells\",\"Cell:TGCGCAGTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCGGAATCT
Exp:0
split.by:All_cells\",\"Cell:ACTGATGGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CAGTAACAGCCACCTG
Exp:4.41
split.by:All_cells\",\"Cell:ACTGATGAGTGCAAGC
Exp:0
split.by:All_cells\",\"Cell:CTGCTGTGTTGTGGCC
Exp:0
split.by:All_cells\",\"Cell:GAGTCCGCAATTGCTG
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTAGCGTAATA
Exp:0
split.by:All_cells\",\"Cell:GTCATTTGTCTCAACA
Exp:0
split.by:All_cells\",\"Cell:GACTAACCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:GGTGAAGAGCAGGTCA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGTCTGATACG
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTCACCGAATT
Exp:0
split.by:All_cells\",\"Cell:CAGGTGCAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAAGCTACCTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCGTGCAGACA
Exp:4.441
split.by:All_cells\",\"Cell:ATGTGTGAGTTTGCGT
Exp:0
split.by:All_cells\",\"Cell:TCTATTGCAGTAAGCG
Exp:0
split.by:All_cells\",\"Cell:TTGGCAATCGGATGGA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGAGTCATCCA
Exp:0
split.by:All_cells\",\"Cell:CACCACTTCAGCTTAG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAGTATCGCAT
Exp:1.461
split.by:All_cells\",\"Cell:ACGGGCTAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAGTGTATGGG
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:GATCGATAGAAAGTGG
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCCAGGGCT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGTCCTACAGA
Exp:0
split.by:All_cells\",\"Cell:AGGGATGTCGCATGGC
Exp:0
split.by:All_cells\",\"Cell:TGCCCTACAATCACAC
Exp:0
split.by:All_cells\",\"Cell:CCCATACTCGTGGACC
Exp:0
split.by:All_cells\",\"Cell:GACTAACCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:TCACAAGAGCCACTAT
Exp:0
split.by:All_cells\",\"Cell:GGCAATTTCACATGCA
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCAGGAATGGA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:GCATGTAAGAATCTCC
Exp:4.938
split.by:All_cells\",\"Cell:GTTACAGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:GTTCGGGAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGTCTGGAGCC
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCGTTTAGG
Exp:0.967
split.by:All_cells\",\"Cell:GCATGCGCAAATTGCC
Exp:0
split.by:All_cells\",\"Cell:TCAACGACACCATCCT
Exp:0
split.by:All_cells\",\"Cell:CCTCTGATCATGTCTT
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCTTGAGAC
Exp:3.788
split.by:All_cells\",\"Cell:CGTCCATCATGGTAGG
Exp:0
split.by:All_cells\",\"Cell:TTAGTTCCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCAACACGT
Exp:0
split.by:All_cells\",\"Cell:CAGCAGCAGAGGTACC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGGTTCTCATT
Exp:0
split.by:All_cells\",\"Cell:CTAGCCTGTGCGATAG
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGGTCTCCACT
Exp:0
split.by:All_cells\",\"Cell:GCATGATCATGCATGT
Exp:4.001
split.by:All_cells\",\"Cell:TACGGTATCCCATTTA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGAAGCTAGGCA
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTCGAGTTT
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTACGAAAT
Exp:0
split.by:All_cells\",\"Cell:GTATTCTTCAGGTAAA
Exp:0
split.by:All_cells\",\"Cell:TACCTATGTAACGTTC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGCAACGATGG
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTTCAGCACAT
Exp:0
split.by:All_cells\",\"Cell:TGCCAAACATGACATC
Exp:0
split.by:All_cells\",\"Cell:CTAAGACGTACTCTCC
Exp:5.215
split.by:All_cells\",\"Cell:CGATGGCTCAGTGTTG
Exp:0
split.by:All_cells\",\"Cell:CCAGCGACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:TGAGAGGAGCCAGGAT
Exp:0
split.by:All_cells\",\"Cell:AGAGCGACACAACTGT
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTTCCTTTCGG
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGTCCGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGATGATCTGTCCGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACATCCTAGA
Exp:0
split.by:All_cells\",\"Cell:GCACATATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:CATCCACCAGATGGGT
Exp:0
split.by:All_cells\",\"Cell:TGCCCTATCATAAAGG
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCACTTCC
Exp:0
split.by:All_cells\",\"Cell:GACAGAGCAGTCAGAG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTTCAGTCCCT
Exp:0
split.by:All_cells\",\"Cell:AATCGGTGTCACACGC
Exp:0
split.by:All_cells\",\"Cell:TACGGATAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGCAGCGATCC
Exp:1.317
split.by:All_cells\",\"Cell:CCACGGAGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTATTG
Exp:0.891
split.by:All_cells\",\"Cell:AGATTGCCACCAGGCT
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:CACCAGGGTACCTACA
Exp:0.862
split.by:All_cells\",\"Cell:GGCCGATTCAGAGACG
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCTAAGCCA
Exp:0
split.by:All_cells\",\"Cell:GACTGCGGTCGCCATG
Exp:0
split.by:All_cells\",\"Cell:GAATGAACAGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:CGCTGGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTAATGGCATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGATCAATCTCT
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTTCGTACGGC
Exp:0
split.by:All_cells\",\"Cell:TTCCCAGAGGATTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTCATCTCCCA
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTAGTGAATTG
Exp:1.068
split.by:All_cells\",\"Cell:TACCTATGTCCAACTA
Exp:0
split.by:All_cells\",\"Cell:TACTTGTAGACAAAGG
Exp:4.894
split.by:All_cells\",\"Cell:GTCCTCACACCACGTG
Exp:0.7
split.by:All_cells\",\"Cell:TAAACCGCATTCCTCG
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:TCAGCTCAGGCTATCT
Exp:0
split.by:All_cells\",\"Cell:CACAGTAGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGCACACATGT
Exp:0
split.by:All_cells\",\"Cell:ACGGCCACACGCTTTC
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCATTCCTGC
Exp:4.248
split.by:All_cells\",\"Cell:CTCAGAATCAGGTTCA
Exp:0
split.by:All_cells\",\"Cell:TGAGGGACAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:TACGGTATCTTTCCTC
Exp:0.828
split.by:All_cells\",\"Cell:GATCGCGAGCGTTGCC
Exp:0
split.by:All_cells\",\"Cell:CAGCGACCACAGGAGT
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGCTTGC
Exp:0
split.by:All_cells\",\"Cell:GTCACGGCATACTACG
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGTCCGAGCCA
Exp:0
split.by:All_cells\",\"Cell:GGACAGATCCTGCAGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTCCATCCT
Exp:0
split.by:All_cells\",\"Cell:AACTTTCCACTGCCAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTCATGCCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGAGTGCACCAC
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTGACTCAT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTGCGGCA
Exp:0
split.by:All_cells\",\"Cell:GGCGACTCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTAGCTGCCCA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCAAACAACA
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTACATCCA
Exp:0
split.by:All_cells\",\"Cell:CATGGCGAGAGTCTGG
Exp:0
split.by:All_cells\",\"Cell:CGTGTAATCGTTGACA
Exp:0
split.by:All_cells\",\"Cell:CGATCGGAGCTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGCACCTAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:GAACGGACAAGGTGTG
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGGGTGAAGGTGCAAC
Exp:0.988
split.by:All_cells\",\"Cell:CTACACCCAGGGCATA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCGTTATCCGA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCTCTTGCATT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTCCAGG
Exp:0
split.by:All_cells\",\"Cell:AAGTCTGGTCTCCATC
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTGTGTAAGTA
Exp:0
split.by:All_cells\",\"Cell:CGCTATCAGGTGATAT
Exp:5.141
split.by:All_cells\",\"Cell:AACTCTTAGCTAACAA
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGGTAGTACCT
Exp:3.402
split.by:All_cells\",\"Cell:GGGTCTGCAGCAGTTT
Exp:0
split.by:All_cells\",\"Cell:CGTAGGCCAACACCCG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACTCTACCTGC
Exp:0
split.by:All_cells\",\"Cell:CATCGAAAGATGTTAG
Exp:0
split.by:All_cells\",\"Cell:GCAATCACAGCTGCTG
Exp:0
split.by:All_cells\",\"Cell:AACACGTAGTAATCCC
Exp:0
split.by:All_cells\",\"Cell:GATCTAGCATCACCCT
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTTCGG
Exp:4.644
split.by:All_cells\",\"Cell:TGTGGTAGTTAGAACA
Exp:4.435
split.by:All_cells\",\"Cell:GAGCAGAAGCCAGTTT
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGGTAAGTAGT
Exp:0
split.by:All_cells\",\"Cell:GGACAGAGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGGATATAC
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTATAATGG
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTCATGCGCAC
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:GTACTCCGTAGCGATG
Exp:0
split.by:All_cells\",\"Cell:CTGTGCTCAGCTCCGA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCAAGAAGT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACACGGTAAG
Exp:0
split.by:All_cells\",\"Cell:CAACCAAAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAAGTGGTAAT
Exp:0
split.by:All_cells\",\"Cell:CGAATGTAGTTCCACA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGACAATCGGTT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCCAGTATG
Exp:0
split.by:All_cells\",\"Cell:TTCTTAGTCGGCGCTA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCTGACCTC
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTCCACTC
Exp:0
split.by:All_cells\",\"Cell:TAAACCGAGGATGGAA
Exp:0
split.by:All_cells\",\"Cell:CTTACCGCAAAGTCAA
Exp:0
split.by:All_cells\",\"Cell:CGGTTAATCGTCTGAA
Exp:0
split.by:All_cells\",\"Cell:CTCGTCATCGGTCTAA
Exp:0
split.by:All_cells\",\"Cell:GTTAAGCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAATCTGCA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGCGTCTAT
Exp:0
split.by:All_cells\",\"Cell:TGGACGCGTATTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCACGGAAGATCCTGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTTTAGGG
Exp:4.669
split.by:All_cells\",\"Cell:CAGTAACCATGCCTAA
Exp:0
split.by:All_cells\",\"Cell:AGTAGTCAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCCACCTTGTC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTGTATATCCG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACGCGTAGACGCACA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTGTGATAAGT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCACAAGCCC
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCGGCACA
Exp:2.888
split.by:All_cells\",\"Cell:TGCGTGGTCTTTACGT
Exp:3.415
split.by:All_cells\",\"Cell:CATCAGATCATCGCTC
Exp:1.072
split.by:All_cells\",\"Cell:CTTGGCTCATCCCACT
Exp:3.238
split.by:All_cells\",\"Cell:AGCATACGTCGCGAAA
Exp:0
split.by:All_cells\",\"Cell:CTTAACTGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:GTTTCTATCAACGGCC
Exp:4.992
split.by:All_cells\",\"Cell:GAGGTGAGTGACAAAT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCGTTATGTGC
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTAGGTGCTAG
Exp:0
split.by:All_cells\",\"Cell:GAATGAACAATCGAAA
Exp:0
split.by:All_cells\",\"Cell:CCTACACAGATCCGAG
Exp:0
split.by:All_cells\",\"Cell:GATGCTACAAGCGCTC
Exp:0
split.by:All_cells\",\"Cell:GTTACAGTCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGACCTTTG
Exp:0
split.by:All_cells\",\"Cell:GACTACACATATGAGA
Exp:0.488
split.by:All_cells\",\"Cell:TGTGGTAAGTGGTCCC
Exp:3.533
split.by:All_cells\",\"Cell:CGTTAGATCAGTCAGT
Exp:0
split.by:All_cells\",\"Cell:GTGCTTCTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:GATGAGGAGAAACCTA
Exp:2.592
split.by:All_cells\",\"Cell:GAAATGATCTTCAACT
Exp:1.885
split.by:All_cells\",\"Cell:GCTCCTAGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCATGCAAC
Exp:1.549
split.by:All_cells\",\"Cell:CGACCTTCACACAGAG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTACGCACC
Exp:3.699
split.by:All_cells\",\"Cell:GCACTCTTCCGGCACA
Exp:0
split.by:All_cells\",\"Cell:GTACTCCTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:CACATAGTCATTGCGA
Exp:5.201
split.by:All_cells\",\"Cell:CTGAAACGTATGGTTC
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCAGTCTCAAC
Exp:0
split.by:All_cells\",\"Cell:CCTTTCTTCTTCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACGTAGCGCAA
Exp:0
split.by:All_cells\",\"Cell:TTGGAACGTCCGTTAA
Exp:0
split.by:All_cells\",\"Cell:CATTATCAGCTCCCAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGTCCATAACCTG
Exp:0
split.by:All_cells\",\"Cell:GTGCAGCTCGTTTATC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACCTCAGCGTGAAC
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACCGTTA
Exp:0
split.by:All_cells\",\"Cell:CGATTGAAGTTAGCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:GGACGTCCAGTATCTG
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGTCGGAT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGGTCATCT
Exp:0
split.by:All_cells\",\"Cell:CAAGGCCTCGTACCGG
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:GCAAACTTCGGAATCT
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCACGGTGTC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGTCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCATCGGAT
Exp:0
split.by:All_cells\",\"Cell:TGGTTAGCAGTCGTGC
Exp:0
split.by:All_cells\",\"Cell:CTCTAATAGTTATCGC
Exp:0
split.by:All_cells\",\"Cell:AACTCTTAGCTGCGAA
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCACGAAGG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTGTAGTGAAT
Exp:0
split.by:All_cells\",\"Cell:GGGTTGCTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:ATCCGAACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:TTCTCAATCACTCCTG
Exp:0
split.by:All_cells\",\"Cell:ACTGATGTCCCTAACC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTGTCTAAACC
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGTCGACGGAA
Exp:0
split.by:All_cells\",\"Cell:AAATGCCAGACTAAGT
Exp:4.483
split.by:All_cells\",\"Cell:TACGGGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCATTTGCCC
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGTCGCCGTGA
Exp:2.126
split.by:All_cells\",\"Cell:CACATAGAGGGAAACA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGCATCGTCGG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGCAGTACACT
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCTCAACCATG
Exp:0
split.by:All_cells\",\"Cell:GTGTTAGAGTTTCCTT
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTAGTACTTGC
Exp:0
split.by:All_cells\",\"Cell:CACATTTGTATAGTAG
Exp:0
split.by:All_cells\",\"Cell:GTGCATAAGAATGTTG
Exp:0
split.by:All_cells\",\"Cell:GGACATTAGAAACCAT
Exp:0
split.by:All_cells\",\"Cell:TCTCTAAGTGGCAAAC
Exp:0
split.by:All_cells\",\"Cell:ACGATACTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGCACGAAATA
Exp:4.442
split.by:All_cells\",\"Cell:CATGACACATCCGCGA
Exp:0.906
split.by:All_cells\",\"Cell:ACGGGTCAGGGTGTTG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTTCGGCGCAT
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCGTGCGATAG
Exp:0.924
split.by:All_cells\",\"Cell:CGTTGGGGTTTAAGCC
Exp:0
split.by:All_cells\",\"Cell:AACTCAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTAGATCGATA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGTCACAATGC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:ATGCGATAGAAACGAG
Exp:1.127
split.by:All_cells\",\"Cell:TATGCCCTCTTCCTTC
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCGGAAACG
Exp:0
split.by:All_cells\",\"Cell:CGATGGCCAACTGGCC
Exp:5.24
split.by:All_cells\",\"Cell:CAGCCGAGTAGCCTAT
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTGGTGTAG
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCTCAAACG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCCAAGTAC
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCAGCAACGGT
Exp:0
split.by:All_cells\",\"Cell:CCTACACCATTATCTC
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCTGTTTGT
Exp:0
split.by:All_cells\",\"Cell:CCATGTCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CAGCCGAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGACGGCGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:ACTGATGCACATGACT
Exp:1.421
split.by:All_cells\",\"Cell:ATCATCTGTAGGACAC
Exp:0
split.by:All_cells\",\"Cell:ATCTGCCGTCATATGC
Exp:0
split.by:All_cells\",\"Cell:TACACGAAGATCCCAT
Exp:1.229
split.by:All_cells\",\"Cell:CATCCACGTTACGACT
Exp:4.371
split.by:All_cells\",\"Cell:AGATCTGCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCAATCCAAC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTCAATGAAAC
Exp:0
split.by:All_cells\",\"Cell:GTGCTTCTCACGACTA
Exp:4.473
split.by:All_cells\",\"Cell:GATCGTACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGAACAACT
Exp:0
split.by:All_cells\",\"Cell:CTACACCCATCAGTCA
Exp:5.257
split.by:All_cells\",\"Cell:AACACGTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCATCAGTTCGA
Exp:0
split.by:All_cells\",\"Cell:ATAGACCAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACACGCAGTATGACA
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCCATGATCCA
Exp:0
split.by:All_cells\",\"Cell:CGTCTACTCAGTCCCT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTCACTACAGT
Exp:4.17
split.by:All_cells\",\"Cell:GATCAGTTCCCGGATG
Exp:0
split.by:All_cells\",\"Cell:GATCTAGGTGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGGTCAGATAA
Exp:4.908
split.by:All_cells\",\"Cell:CTCGTACGTTGGTTTG
Exp:0
split.by:All_cells\",\"Cell:TTGGCAATCGAACGGA
Exp:0
split.by:All_cells\",\"Cell:CATCGAAGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTCAACTGT
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTCAAAGTGCG
Exp:0
split.by:All_cells\",\"Cell:GAAGCAGGTCTAGAGG
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTGTGCGCTTG
Exp:5.595
split.by:All_cells\",\"Cell:ATTCTACGTTTAGGAA
Exp:4.08
split.by:All_cells\",\"Cell:GGGAATGCACATTTCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCCTGCTTG
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGAGCCCAA
Exp:0
split.by:All_cells\",\"Cell:GTGCAGCGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACGTTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTTCATTCACT
Exp:0
split.by:All_cells\",\"Cell:GATGCTATCCCTCTTT
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCACGCCAGT
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTTCTGATTCT
Exp:0.961
split.by:All_cells\",\"Cell:GCTGGGTCACGAGGTA
Exp:0
split.by:All_cells\",\"Cell:TCTATTGGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:TCACGAACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:CGAACATTCACAAACC
Exp:0
split.by:All_cells\",\"Cell:TCTATTGTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGACACTAA
Exp:0
split.by:All_cells\",\"Cell:GCGAGAAGTGGGTATG
Exp:0
split.by:All_cells\",\"Cell:TTCTCAAAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGTCTGTTGAG
Exp:0
split.by:All_cells\",\"Cell:ACATACGAGCTATGCT
Exp:0
split.by:All_cells\",\"Cell:ACGATACAGTCATCCA
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTTCATGGT
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCACGAGAGT
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGAGGCACATG
Exp:2.147
split.by:All_cells\",\"Cell:TGAGCATTCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAATCGCAAACT
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGCATACTCTT
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATATGGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGCGTGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCCGCGCAA
Exp:0
split.by:All_cells\",\"Cell:CCTTCCCCAAAGTGCG
Exp:0.81
split.by:All_cells\",\"Cell:GTAACTGAGCCGGTAA
Exp:4.067
split.by:All_cells\",\"Cell:AGCATACCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:CATCAAGGTGGTCTCG
Exp:3.758
split.by:All_cells\",\"Cell:AGTCTTTGTCTCGTTC
Exp:0.874
split.by:All_cells\",\"Cell:CTGATAGAGCTCAACT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCTCGTCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCTCCAACC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAACATGGTCTA
Exp:2.754
split.by:All_cells\",\"Cell:GTTCATTAGGGTCTCC
Exp:0
split.by:All_cells\",\"Cell:GCGACCATCACCAGGC
Exp:0
split.by:All_cells\",\"Cell:GTACTTTCATGGTCAT
Exp:0
split.by:All_cells\",\"Cell:TCAGCAAAGCGATGAC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAGACCATCTTATCTG
Exp:0
split.by:All_cells\",\"Cell:AGACGTTAGCCGATTT
Exp:0
split.by:All_cells\",\"Cell:GAACCTACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:CCAATCCAGAGTAAGG
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTACAGTTC
Exp:4.659
split.by:All_cells\",\"Cell:CAGGTGCGTACAAGTA
Exp:0
split.by:All_cells\",\"Cell:GCTCCTATCTCACATT
Exp:0
split.by:All_cells\",\"Cell:TATCAGGCACCAGTTA
Exp:0
split.by:All_cells\",\"Cell:TGCTACCCATAAGACA
Exp:0
split.by:All_cells\",\"Cell:GATTCAGAGTACGTTC
Exp:0
split.by:All_cells\",\"Cell:CGGACTGCATCCCATC
Exp:0
split.by:All_cells\",\"Cell:GCGCCAACACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:AGGTCATTCTGCGTAA
Exp:0
split.by:All_cells\",\"Cell:CTACCCAGTCAAACTC
Exp:0
split.by:All_cells\",\"Cell:TGGCCAGAGCTACCTA
Exp:0
split.by:All_cells\",\"Cell:TGTCCCACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGAGGAATTAC
Exp:0
split.by:All_cells\",\"Cell:TACAGTGAGCGTTTAC
Exp:0
split.by:All_cells\",\"Cell:CGATTGAAGTCTTGCA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCGTCACAAGG
Exp:0
split.by:All_cells\",\"Cell:GTCTCGTCACGTGAGA
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTCAGCATACT
Exp:0
split.by:All_cells\",\"Cell:GCTTGAACATTTGCTT
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTTCGCTTAGA
Exp:0
split.by:All_cells\",\"Cell:GATCAGTAGGTTCCTA
Exp:0.81
split.by:All_cells\",\"Cell:GTACTTTAGATATGCA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGTCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:TCAGATGGTAGATTAG
Exp:5.933
split.by:All_cells\",\"Cell:TGTCCCAAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCTCAGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CTAAGACTCACTCCTG
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCTTAGAGC
Exp:0
split.by:All_cells\",\"Cell:CACACCTCATTGTGCA
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTAGCGTAG
Exp:0
split.by:All_cells\",\"Cell:ACTGAACAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGATGGGTC
Exp:0
split.by:All_cells\",\"Cell:GGAAAGCGTACGCACC
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CCCTCCTGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTGTGAATA
Exp:0
split.by:All_cells\",\"Cell:TCGGTAACAGGGTACA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTCACCGAATT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTAGGAGTC
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGACGCTTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCTTCAAG
Exp:0
split.by:All_cells\",\"Cell:ATAAGAGTCCACGTTC
Exp:0
split.by:All_cells\",\"Cell:GATCGTAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTAAACT
Exp:0
split.by:All_cells\",\"Cell:CACCACTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCCACTCTGTC
Exp:0
split.by:All_cells\",\"Cell:GCATGTATCACGATGT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGATGGGTC
Exp:0
split.by:All_cells\",\"Cell:CGCGTTTGTATTACCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCAGGTGTTAA
Exp:1.186
split.by:All_cells\",\"Cell:GCTGCAGCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCAGAGGTG
Exp:0
split.by:All_cells\",\"Cell:TTCGAAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGGTGATGCCC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGTCCAGAGGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGACAGTAAGAT
Exp:0
split.by:All_cells\",\"Cell:CATCGAAGTAGCGTCC
Exp:5.646
split.by:All_cells\",\"Cell:TGGACGCTCTTGTTTG
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGGTCACCTAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAAACGCGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:GCGACCACACGTTGGC
Exp:0
split.by:All_cells\",\"Cell:CCATGTCGTTTGCATG
Exp:0
split.by:All_cells\",\"Cell:TGCCAAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGGTAGCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGAGAACAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACTAGAGCTTCGCG
Exp:0
split.by:All_cells\",\"Cell:CGGACTGCAGCCAATT
Exp:5.499
split.by:All_cells\",\"Cell:GACCAATAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:GGACGTCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:AGGTCCGAGTTACCCA
Exp:0
split.by:All_cells\",\"Cell:GGAAAGCGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:CCGGGATGTACCGCTG
Exp:0
split.by:All_cells\",\"Cell:CATCCACAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:CGCTATCCAGGCAGTA
Exp:1.004
split.by:All_cells\",\"Cell:TCAGGTACACTGTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTTCTCGTATT
Exp:3.554
split.by:All_cells\",\"Cell:CGGACGTAGACAGACC
Exp:0
split.by:All_cells\",\"Cell:AGTTGGTTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTCCAGTAT
Exp:0
split.by:All_cells\",\"Cell:TATGCCCAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATGACATC
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGCACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:ACCCACTTCTGAGGGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCTCGTTGCCT
Exp:0.932
split.by:All_cells\",\"Cell:ACGATGTTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TGACAACTCGCACTCT
Exp:0
split.by:All_cells\",\"Cell:GACGCGTCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CATATGGTCAACACAC
Exp:0
split.by:All_cells\",\"Cell:AGTGGGAGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ATTGGTGTCCAGTATG
Exp:0
split.by:All_cells\",\"Cell:GATGCTAAGCGATAGC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:TTCTCAACAGTTTACG
Exp:0
split.by:All_cells\",\"Cell:TCACAAGAGCATGGCA
Exp:0
split.by:All_cells\",\"Cell:GGAATAACACGACGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAGATGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:AACTTTCGTGACCAAG
Exp:0
split.by:All_cells\",\"Cell:CGAGAAGCACTTACGA
Exp:0
split.by:All_cells\",\"Cell:AACTCCCAGTACGACG
Exp:3.394
split.by:All_cells\",\"Cell:CGTTAGAAGTATCTCG
Exp:0
split.by:All_cells\",\"Cell:CCTATTACAAACGTGG
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTAGATCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCATTCGCAAGCCATT
Exp:4.163
split.by:All_cells\",\"Cell:GTATCTTGTACTCAAC
Exp:0
split.by:All_cells\",\"Cell:TGCTACCCAGGGCATA
Exp:0.828
split.by:All_cells\",\"Cell:GGAACTTAGGTTACCT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACGTTCAGTAC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCATCACATAGC
Exp:3.255
split.by:All_cells\",\"Cell:CTTTGCGAGGAATGGA
Exp:0.87
split.by:All_cells\",\"Cell:ATTATCCCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCAACTGCGC
Exp:1.139
split.by:All_cells\",\"Cell:AAACGGGCAAAGAATC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTAGTCTCGGC
Exp:0
split.by:All_cells\",\"Cell:TCTGGAAGTCATCGGC
Exp:0
split.by:All_cells\",\"Cell:AAATGCCCACCAACCG
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCGCTTGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGTTACACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGCAAGTCTGT
Exp:0
split.by:All_cells\",\"Cell:CGGACTGTCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTCAAATTGCC
Exp:5.66
split.by:All_cells\",\"Cell:ATTGGTGGTACTTGAC
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGAGTTGGC
Exp:5.119
split.by:All_cells\",\"Cell:CGGCTAGGTAACGACG
Exp:2.746
split.by:All_cells\",\"Cell:AAAGATGAGTCATGCT
Exp:2.979
split.by:All_cells\",\"Cell:GTACTCCCACGTCTCT
Exp:0
split.by:All_cells\",\"Cell:TTGAACGAGGAATCGC
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCGATAGAA
Exp:0
split.by:All_cells\",\"Cell:CTCTAATTCAGCGACC
Exp:0
split.by:All_cells\",\"Cell:TATGCCCAGAACAATC
Exp:0
split.by:All_cells\",\"Cell:AACCATGGTTGAACTC
Exp:0
split.by:All_cells\",\"Cell:CAGCATAGTAATAGCA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTTCCTCAATT
Exp:1.787
split.by:All_cells\",\"Cell:CTCAGAATCTGGCGAC
Exp:0
split.by:All_cells\",\"Cell:ATCACGATCACGGTTA
Exp:1.115
split.by:All_cells\",\"Cell:GAGCAGAGTTTGCATG
Exp:0.722
split.by:All_cells\",\"Cell:TGCACCTAGATAGTCA
Exp:0
split.by:All_cells\",\"Cell:CAGCCGAAGTGACTCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCTGGTATG
Exp:0
split.by:All_cells\",\"Cell:AGCTCCTAGTACACCT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGCGATGAC
Exp:0
split.by:All_cells\",\"Cell:TCCACACTCACGATGT
Exp:2.056
split.by:All_cells\",\"Cell:TCAGATGCACGACGAA
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCAACACTG
Exp:0
split.by:All_cells\",\"Cell:CTTAGGACATCTATGG
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAAGTAGATGT
Exp:0
split.by:All_cells\",\"Cell:ATCTACTGTGAACCTT
Exp:0
split.by:All_cells\",\"Cell:CGATGTAGTGGTACAG
Exp:0
split.by:All_cells\",\"Cell:CTAGCCTGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTGAGTGT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTGACAT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCTCCATGAGT
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAGTACCGAGA
Exp:0
split.by:All_cells\",\"Cell:ACTGAGTGTTTCGCTC
Exp:0
split.by:All_cells\",\"Cell:AGAGCGATCTCTTGAT
Exp:0
split.by:All_cells\",\"Cell:GAAGCAGTCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:GTCGTAAAGGTGATTA
Exp:0
split.by:All_cells\",\"Cell:CACACTCAGGCGCTCT
Exp:0
split.by:All_cells\",\"Cell:TGGGAAGGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CGCGGTACATTAGGCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAAAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTGTTCGTCTC
Exp:4.89
split.by:All_cells\",\"Cell:CTGGTCTTCGTTACAG
Exp:0
split.by:All_cells\",\"Cell:TCTCTAAAGCTGGAAC
Exp:3.706
split.by:All_cells\",\"Cell:CGGTTAAAGTAGCGGT
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CCTTACGCAAGGTGTG
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCACGAAGCA
Exp:0
split.by:All_cells\",\"Cell:CAACCTCGTCTAAACC
Exp:0
split.by:All_cells\",\"Cell:AGCGGTCGTACCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTCGTCATCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:GGCCGATGTCAAACTC
Exp:0
split.by:All_cells\",\"Cell:TTCTACAGTGTTGAGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGAGCGCCTTG
Exp:4.696
split.by:All_cells\",\"Cell:GATCGATCAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TTGGCAACATCATCCC
Exp:0
split.by:All_cells\",\"Cell:TTTATGCTCCATTCTA
Exp:0
split.by:All_cells\",\"Cell:AACTTTCAGGCATTGG
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCAGATGGCGT
Exp:0
split.by:All_cells\",\"Cell:TACGGTAGTGTGCCTG
Exp:4.66
split.by:All_cells\",\"Cell:ACTGCTCAGATATGCA
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTTCGTGGGAA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCAGGAGTTGC
Exp:0.762
split.by:All_cells\",\"Cell:CTGAAACAGGAGTAGA
Exp:0
split.by:All_cells\",\"Cell:CATGGCGAGCCCTAAT
Exp:0
split.by:All_cells\",\"Cell:ACATGGTCAAGGACTG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCTCTAGC
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCAAAGAATC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTAGCCACCTG
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCACAGGCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGTCATCGATG
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGGTGTGGT
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACACGGCCAT
Exp:0
split.by:All_cells\",\"Cell:CGTGTAATCCATGCTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGCATCAGTAC
Exp:0
split.by:All_cells\",\"Cell:GGGATGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTCGTACGTTCCGTCT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGACATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ATCTGCCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGAGCAATT
Exp:0
split.by:All_cells\",\"Cell:CACACAACACACTGCG
Exp:0
split.by:All_cells\",\"Cell:TAGGCATTCGTTGCCT
Exp:3.856
split.by:All_cells\",\"Cell:TCTCTAATCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:ACACCCTGTCAGATAA
Exp:0
split.by:All_cells\",\"Cell:AGATCTGTCGATCCCT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTTCTCGCTTG
Exp:0
split.by:All_cells\",\"Cell:CTACGTCAGTCTCGGC
Exp:1.589
split.by:All_cells\",\"Cell:CATCCACTCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TCTCATACAGATCTGT
Exp:0
split.by:All_cells\",\"Cell:CACACCTCACTGCCAG
Exp:0
split.by:All_cells\",\"Cell:CTCGTACCAATGGATA
Exp:0
split.by:All_cells\",\"Cell:ACACCAAAGTAGGCCA
Exp:5.286
split.by:All_cells\",\"Cell:TACACGAGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGTATTGGA
Exp:0
split.by:All_cells\",\"Cell:AGACGTTTCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTGTGAATA
Exp:0
split.by:All_cells\",\"Cell:GCACTCTGTCTGCAAT
Exp:0
split.by:All_cells\",\"Cell:TGTGGTACAAGACGTG
Exp:0
split.by:All_cells\",\"Cell:AGGCCGTCACGACGAA
Exp:0
split.by:All_cells\",\"Cell:TATGCCCTCTTACCTA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTCACGGACAA
Exp:0
split.by:All_cells\",\"Cell:GTCGGGTGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCGTAGGTT
Exp:0
split.by:All_cells\",\"Cell:CGTCTACGTTTCCACC
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCAGACATAAC
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGAGTGGAGAA
Exp:0
split.by:All_cells\",\"Cell:CTGATAGTCGGCTACG
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACGTCCATCCT
Exp:0
split.by:All_cells\",\"Cell:CATGACAGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:GACCAATAGAATGTGT
Exp:5.89
split.by:All_cells\",\"Cell:CAGCGACCATATGGTC
Exp:0
split.by:All_cells\",\"Cell:TGCTGCTGTCCGTCAG
Exp:0
split.by:All_cells\",\"Cell:TCAGATGCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:TATCAGGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:GGGAATGGTCGGCTCA
Exp:0.847
split.by:All_cells\",\"Cell:TAGTTGGAGTCAAGCG
Exp:0
split.by:All_cells\",\"Cell:TACCTATTCGTTACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGAGGGAAGCCGGTAA
Exp:4.6
split.by:All_cells\",\"Cell:CGTGTCTTCCTTTCGG
Exp:0
split.by:All_cells\",\"Cell:TGATTTCAGTGGAGTC
Exp:2.114
split.by:All_cells\",\"Cell:CTAACTTAGATCACGG
Exp:4.027
split.by:All_cells\",\"Cell:CATCAGAGTCCGAATT
Exp:0
split.by:All_cells\",\"Cell:GAAATGATCGTCCGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCCACTCCA
Exp:0
split.by:All_cells\",\"Cell:GTTCGGGAGGCAATTA
Exp:0
split.by:All_cells\",\"Cell:GCGCCAATCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:AGTGGGATCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:CGACTTCGTTGATTCG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTAACGACG
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCTCTTCCTTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:AAGGAGCAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:TACTTACGTGTGGCTC
Exp:0
split.by:All_cells\",\"Cell:ATGCGATTCGCGTAGC
Exp:0
split.by:All_cells\",\"Cell:ATTGGACAGTCAAGGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGTCCGCTGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTAGACGCACA
Exp:0
split.by:All_cells\",\"Cell:ATGAGGGGTTCTGGTA
Exp:0
split.by:All_cells\",\"Cell:CGACCTTAGCTGCCCA
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTGCCTGCA
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:GTATTCTAGGTGCTTT
Exp:0
split.by:All_cells\",\"Cell:TCTGGAATCGGTGTCG
Exp:0.865
split.by:All_cells\",\"Cell:GACGTTAAGACGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCGTAGAGGACGG
Exp:0
split.by:All_cells\",\"Cell:ATGAGGGCAAGGTTTC
Exp:1.393
split.by:All_cells\",\"Cell:GTGCGGTCAAAGCAAT
Exp:0
split.by:All_cells\",\"Cell:CATCGGGTCATTTGGG
Exp:0
split.by:All_cells\",\"Cell:ACATACGGTAAACACA
Exp:3.755
split.by:All_cells\",\"Cell:CTGCTGTGTTATCACG
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTAGTGCCATT
Exp:0
split.by:All_cells\",\"Cell:CCACGGAGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:CCATTCGCATGAAGTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCTGCTGCT
Exp:0
split.by:All_cells\",\"Cell:ACGATGTTCTGCTGCT
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTCACCATCCT
Exp:0
split.by:All_cells\",\"Cell:TAGTTGGGTACCGTAT
Exp:0
split.by:All_cells\",\"Cell:GCGCAACCAACACCTA
Exp:0
split.by:All_cells\",\"Cell:CCAGCGAGTACCGTAT
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCATCTCCCA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCCTGTAGA
Exp:4.222
split.by:All_cells\",\"Cell:GGAAAGCTCTCGGACG
Exp:0.882
split.by:All_cells\",\"Cell:ACTGATGGTCCGACGT
Exp:2.609
split.by:All_cells\",\"Cell:GTAACGTCAGCCTATA
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCTAACTCT
Exp:0
split.by:All_cells\",\"Cell:GAAATGACATCTACGA
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TCTCATAGTTACCAGT
Exp:0
split.by:All_cells\",\"Cell:ACGTCAACACGGTGTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:TGTATTCCAATGACCT
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTAGCTAGCCC
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGAGCTGGT
Exp:0
split.by:All_cells\",\"Cell:GGCAATTTCCGAATGT
Exp:0
split.by:All_cells\",\"Cell:GATCGTAGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATCAAGCCGCT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACAGTGG
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTAGCAGGCTA
Exp:0
split.by:All_cells\",\"Cell:CCACTACGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:GGAAAGCAGGCATGGT
Exp:2.134
split.by:All_cells\",\"Cell:ACAGCTATCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTAAAGTCA
Exp:0
split.by:All_cells\",\"Cell:TAAACCGAGTCGTACT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGTCATCGCTC
Exp:1.379
split.by:All_cells\",\"Cell:CACCACTCACGAAATA
Exp:0
split.by:All_cells\",\"Cell:CGTAGGCTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:TCGCGTTTCTCTGCTG
Exp:0
split.by:All_cells\",\"Cell:GGACAAGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGCCCAGCT
Exp:4.636
split.by:All_cells\",\"Cell:TCACGAATCCTATGTT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTGGCTCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:ATAACGCAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:ATTCTACTCAGGTAAA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCCAAGCGTAG
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGGCGTG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAAGTCCGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGAATGAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CACAGGCTCAAGATCC
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCAGTTCGCAT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTTCGCCATAA
Exp:5.053
split.by:All_cells\",\"Cell:CCACTACAGAGTACCG
Exp:0
split.by:All_cells\",\"Cell:AGCCTAAAGCCCAACC
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:AGTGGGACAGTATCTG
Exp:0
split.by:All_cells\",\"Cell:CAACCAATCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:TGTCCCATCTTGACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCCATCAGTCGTGC
Exp:0
split.by:All_cells\",\"Cell:GTTTCTAGTCCTCTTG
Exp:0
split.by:All_cells\",\"Cell:GCACATACATTACGAC
Exp:0
split.by:All_cells\",\"Cell:ATGGGAGTCGGTTCGG
Exp:0
split.by:All_cells\",\"Cell:ATAAGAGTCCGAACGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCGAAGCTTCGCG
Exp:0
split.by:All_cells\"]],\"marker\":{\"color\":[0,0,0,1.5362160425541738,0,0,0,5.5706157164102397,3.3237231138372234,0,0,0,0,0,0,0,0,0,0,0,0,5.3273955225228651,0,5.0370833356091529,0,0,0,0,4.2425093561109177,0.80200710120704033,0,0,0,0,1.6614840703511167,4.0391464366184993,0,0,4.2803839652178173,5.5468336268387626,0,0,0,0,0,1.0893651950353123,0,0,0,0,0,6.0675024924872449,0,0,5.4462100244461036,0,0.88487332485069925,0,0,0,0,0,0,0,0,2.5978805966337788,0,0,0,0,0,0,1.3172087589836849,0,0,0,0,0,0,1.0773404439212901,0,0,0,0,0,0,0,0,0,0,0,0,4.7859228559567928,2.1462669097348366,0,0,0,0,0,0,0,0,0,0,0,0,0.87139399335249101,0,0,0,0,0,0,0,0,5.8594434518970839,0,0,0,0,0,0,1.1325278635241083,0,0,4.3802793700980809,0,0,0,0,0,0,2.4289191517530946,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.2019698691243415,2.0810181383101667,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.88554221779072417,2.3137671010041934,0,0,0,0,0,0,0,0.97451917011161227,0,0,4.8374827159606211,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.4767029389852522,0,3.6899927524034597,0,0,0,0,0,0,2.69381041292226,0,0,4.9178773085701888,0,0,0,3.3145340496006068,0,0,0,0,0,0,0,0,0,0,1.7314786206408816,5.3624080013128461,0,0,0,0,2.9824121025437287,0,0,0,0,4.8159712726231287,0,0,0,4.8002593935504692,0,0,0,0,0,0,1.2228726498646996,0,0,0,0.77071234804779842,0,0,0,0,0,0,0,0,3.4317129255881058,4.711882623951114,5.3914036246658759,0,0,0,0,0,0,0,0,0,0,4.4104957257756574,0,0,0,0,0,0,0,0,0,0,0,0,4.4408508407469123,0,0,0,0,0,1.4607213709641225,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4.9381414001969652,0,0,0,0,0,0.96728391600155406,0,0,0,0,3.7883450842995563,0,0,0,0,0,0,0,4.0014177709280521,0,0,0,0,0,0,0,0,0,5.2154109733973826,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.3166088100573385,0,0.89118676060054414,0,0,0.86243643188464469,0,0,0,0,0,0,0,0,0,0,1.0681032005687041,0,4.8940375095871449,0.69955826791683484,0,0,0,0,0,0,4.2478547388790355,0,0,0.82818414286796316,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.98775666908954429,0,0,0,0,0,0,5.1414792276172747,0,3.402358101438653,0,0,0,0,0,0,0,4.6438456417168599,4.4349325807050128,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4.668713006406235,0,0,0,0,0,0,0,0,0,2.887731214052208,3.4146715179707945,1.0716257002798599,3.2375767352952254,0,0,4.9916657325922191,0,0,0,0,0,0,0,0,0.48751140359713946,3.5332892259626312,0,0,2.5918455167934678,1.8851545646197883,0,1.5490310477050906,0,3.6993695749823896,0,0,5.200501182638237,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4.4831225473102121,0,0,2.1256942528895633,0,0,0,0,0,0,0,0,0,0,0,0,4.4419332421305056,0.90594698736209966,0,0,0.92416240436992314,0,0,0,0,0,1.1267155775167714,0,0,5.239912963286681,0,0,0,0,0,0,0,0,0,0,1.4206275307811234,0,0,1.2291666626698992,4.3710288804643405,0,0,0,0,4.4730292740178275,0,0,5.2568639809241038,0,0,0,0,0,0,4.1696725965911927,0,0,4.9075189371172359,0,0,0,0,0,0,5.59547019192369,4.0797567691775409,0,0,0,0,0,0,0,0,0,0.96115942813540989,0,0,0,0,0,0,0,0,0,0,0,0,0,2.1472680116979146,0,0,0,0,0,0,0,0,0.81009778463575344,4.0671586423550909,0,3.7576814507498453,0.8742339248069394,0,0,0,0,2.7544288180748042,0,0,0,0,0,0,0,0,0,4.6592073709247188,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.80995922114759833,0,0,5.93336674076098,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.1862553536754095,0,0,0,0,0,0,0,5.646377059528783,0,0,0,0,0,0,0,0,0,0,0,5.4989321665069459,0,0,0,0,0,0,1.004449284717891,0,3.5542359892136779,0,0,0,0,0,0,0,0.93221137493966544,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.3937355586180407,0,0,0,4.1626701325199793,0,0.82767627212309203,0,0,0,3.2554778671582296,0.86969942374593545,0,1.1388396265850198,0,0,0,0,0,0,0,0,0,0,5.6595173875240929,0,5.1191418529174957,2.7462669575844925,2.9788618806178295,0,0,0,0,0,0,0,1.7866389886176295,0,1.1145974570043014,0.72150604512001415,0,0,0,0,0,2.0564024743028635,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4.8897934954806912,0,3.7057989999725383,0,0,0,0,0,0,0,0,0,0,4.6962030225311144,0,0,0,0,0,0,4.6595670266182632,0,0,0.76159189407231864,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.8564319900282102,0,0,0,0,0,0,1.5894222723996558,0,0,0,0,5.2858846053025514,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5.89035424573885,0,0,0,0,0.84714550845394376,0,0,0,4.5998387122538062,0,2.1139238614565881,4.0270090517962149,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.86529425610003452,0,0,1.392817147937945,0,0,3.7549450754633713,0,0,0,0,0,0,0,0,0,0,0,0,0,4.2224566921527513,0.88154492559337894,2.6091438191175329,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.1336948960358049,0,0,0,1.3786557585383676,0,0,0,0,4.6360612843064981,0,0,0,0,0,0,0,0,0,0,0,5.0531043116587009,0,0,0,0,0,0,0,0,0,0,0,0],\"colorbar\":{\"title\":{\"text\":\"Ins2\",\"font\":{\"color\":\"black\",\"size\":14}},\"len\":0.5},\"size\":1.5,\"showscale\":true}}],\"label\":\"Ins2\"}]}],\"autosize\":false,\"hovermode\":\"closest\"},\"source\":\"A\",\"config\":{\"modeBarButtonsToAdd\":[\"hoverclosest\",\"hovercompare\"],\"showSendToCloud\":false},\"data\":[{\"x\":[-5.6886261636056004,3.4359456366263332,-5.3666280442513523,3.7621866530142727,-5.872935169342905,-6.1831148797310886,2.2261005705557766,2.4181076353751125,3.398643142577261,4.2351423567496242,3.9708577460013332,2.1073290175162258,2.9162017172537746,3.7651683157645168,-5.3833645516671238,-5.1829670602120457,3.8295599287711086,1.5391832655631006,-5.4914945298470554,3.8172012633048,2.793688661452383,2.0342673128806057,3.9640418356619778,2.4987086123190823,3.6219369238577785,0.99059940039739014,-5.4327911073006687,4.2884904211722317,2.9429088896475735,4.0921779936514797,-5.3985317879952488,-2.0335786277092991,4.3770376509390774,4.0545412367545071,4.1104151076041164,3.2023011511527004,0.38131273448094727,-5.9616588288582859,2.6003462141714992,2.5475879973135891,3.3667727774344387,-5.5798309975899754,3.030913478728384,3.847624904509634,4.0858694380484524,3.9018045729361477,4.1920338934622707,-2.6897437506951389,4.0187827414236965,-4.206093185547739,3.6923328703604641,2.1945270365439358,3.9449616736136379,3.8722015684805813,2.2298027342520657,-4.7807520562447605,-2.6104623013772068,4.3668023413382473,3.7688914602957668,3.2212067908011379,3.7928448981009426,-0.54905425846949218,4.0713917082510891,-5.9773162537850437,-5.0173948937691746,3.3210197752676907,3.708708888884634,4.2753692930899563,-5.7239893609322605,1.6613651579581201,4.114228851195425,-1.8538612061776221,3.6917172735892239,4.8378187483511867,-4.9453610116280613,-0.83209495336189865,3.3578559225760403,-5.2147434884347019,-5.35839688122645,4.3068496054373684,4.8751646345816555,4.1845375364981594,4.1118885344229641,4.1085463827811184,4.2631312674246731,-5.3330701524056492,4.57820618807897,2.0549773043356838,3.2613741224966946,-5.9224170380868015,3.6750012701712551,-5.5498193436898289,2.2872663801871242,3.8686019247733059,3.7571336096487942,0.098260707255452884,3.8851114577017727,-5.919978969696909,-5.3041442567147312,4.1570006674490871,3.8757530516348782,3.4961906737051907,-6.1821497613228855,2.6465786761008205,-5.32397305310145,-2.8081093961037693,1.0950797861777246,2.9624165362082424,-5.6242302590645847,-5.2006577187813816,4.4909569090567532,-5.503446930054575,-5.8125513726510105,-4.4374476605691013,4.3201953238211575,2.3921674555502834,4.0995417898856106,-5.3745692902840672,-6.37182461560145,3.8413716620169582,2.2736622160635891,-5.2250226670540867,3.4526020353995266,-5.3119543725289402,2.6745559042654934,3.217281944151968,-6.477021091584116,-5.1964877778328953,3.3088890379630032,-6.1476582223214207,-5.6930960351265965,3.70802796542272,3.3083731001578274,-5.8063710862435398,4.3496514624319973,3.6548677748404446,3.8021856611929836,-5.7689450913704929,2.4691897696219387,-5.2924097710885105,-5.8526018792428074,-5.672373645905405,-5.6623295480050144,4.1558662718497219,-4.8945668870247898,3.2827888792715969,-5.5241459542550144,4.3123055762015285,3.2845560377798977,-1.624504380825907,-5.9470547372139988,3.8091121977530422,-5.6904171639718113,3.6057592695914211,-4.3515030080117283,-5.7528332406319675,3.2486630743704739,4.1241923636160793,2.8195403879843655,4.6197644537650051,3.9772955244742336,3.7943307226859035,2.5913709467612209,3.9710031813345852,3.8011189764700832,3.296350604888052,4.3865267103873196,3.8908783262930813,3.3374468153677883,-4.4706221753396092,3.2570606535635891,3.8364697760306301,4.2860552138052883,2.4976972407065334,-6.2177075082100925,4.953642970915884,3.0680788820944729,-5.4631804162301121,-1.3357294732369482,4.1042176550589504,4.063956863280386,3.5586420363150539,4.2045790022574367,-5.9334925347603855,-5.5754865342415867,-2.4768989020623264,-5.7706888848580418,-1.037919633988291,4.0581241911612453,2.435252553816885,2.3759418791495266,2.7511712378226223,3.2716742819510403,-6.1108916932381687,2.4087811773978176,4.309628135558218,4.9434748953543606,4.0921040838919582,-5.7354863816536961,4.7850753134451809,1.5081285303793848,3.1360293692313137,-0.72175849691405891,3.5372740095816555,2.3448590105734768,3.9707208937369289,2.9682651823721828,0.64330697714909912,3.1923199957571926,3.8910366362296047,3.86671937167272,-3.0602270299233494,-5.4041060143746433,-5.8222106629647312,-5.4442418748177586,-1.4495434695519507,-5.7719706231392918,4.0788031882010403,2.8299533194266262,3.8279835051260891,2.2619544333182278,-4.2111350232399998,-6.4100536042489109,4.3074675863943996,4.2125812834464016,3.278535491820425,4.8723198240958157,3.7191401785574856,0.23066902815923096,4.1810804671011867,2.9881712263785305,2.3492690390311184,-5.6914991074837742,4.1613327330313625,2.7096418207846584,1.9107128447256982,4.1415544813834133,3.9326931303702297,-6.0249489480294285,-5.4014824563302097,4.0656186407767239,3.9642750090323391,0.70927036463841797,4.6895667380057278,4.2933746641837063,-5.2602528268136082,4.1233750647269192,2.7530199354849758,-5.8193434411324558,-6.1109894448556004,-1.0728792184628546,-5.458196514252573,3.6278320616446438,-5.9495462113656101,3.2712379759512844,2.9602612322531643,2.2454253500662746,-5.9845112496651707,-3.1521202260293064,3.6474958723746242,-6.0393150979317722,-5.7518080407418308,-5.7148393327035008,-2.0283108884133396,3.2670952147208157,-5.9730290108956394,-6.0209578210152683,2.3493365114890041,-5.3508690530098972,2.1166299647055569,-5.8466519051827488,-5.1293190652169285,4.5781961744986477,-5.8394626313485203,-6.0309356385506687,4.4323755568228664,-5.3975976640023289,3.7564607924185696,-5.6858676606453953,-5.7005304032601414,2.5634144610129299,4.5063401526175442,4.1718541449271145,4.540925628539175,-4.5778638058938084,-4.364221208695322,3.5970946615897121,2.1566151446066799,-6.0058206254281101,3.7745324438773098,3.1083837813101711,1.3716536825858057,-5.9610012704171238,3.0642060106955471,-5.7542136842049656,3.4612490004263821,3.6092368429861965,-5.5800021821297703,3.1013876265250149,-6.3277510339058933,2.3361758059225979,2.6442028349600735,3.6401864355765285,-5.8642514878548679,-6.03074156582728,4.1436320608817043,-5.7518442803658543,3.8260375326834621,1.272380716200918,-5.3374651604928074,-5.1970995599068699,3.797756797667593,3.2268775767050686,-5.1002482110299168,1.0198576515875757,0.31130755602940918,0.48062289416417481,4.2756167715750637,-5.9069336587227879,3.9822994536124172,2.7996984785757961,3.729941970702261,4.0360781019888821,4.5250836676321926,-5.6807621651925144,-5.7964295083321629,-6.2621782952584324,4.3417240446768703,3.8146392172537746,-2.3665174180306492,2.9567765063010158,3.9070087736807766,-5.3787101441659031,4.0860859221182766,-5.9691227608956394,3.6438437765799465,3.4250918692313137,-4.2681220704354343,3.875729209776968,-5.8648399049080906,-5.5565107995308933,3.5692497557364407,3.9789401358328762,-5.6811984711922703,4.2586289709769192,1.7590841120444238,3.5297552412711086,2.3529039686881008,-6.1315530473031101,3.7280699080191555,-5.3548949891366062,3.2782713240347805,-6.2212966614998875,3.5055633848868313,-5.4770072633065281,-0.9730303221978247,3.6990600889883938,3.7497507399283352,-5.3982642823494968,-5.8888567620553074,3.8859354323111477,3.5195432966910305,-3.8963805371560154,1.8053032225333154,1.4098991221152246,3.5934301680289211,2.5643507307730617,2.7622026270590725,3.8044158285818996,-5.9591859513558445,4.1719976729117336,3.64369691073522,-5.4930647546090183,-5.7994507485665379,-5.3392757111825047,3.3259717291556301,-5.4468868905343113,-6.3571780854500828,3.2842856711111965,2.3560041254721584,-5.2326768571175633,3.7973028486929836,3.8533784216605129,-6.110382907990366,-5.2379931145943699,4.0392576521597805,-5.8231190377511082,1.1200755900107324,4.1074754065237942,2.8175944155417385,4.5524135893546047,-5.6430138284005222,-0.59149248242750763,-3.3063419991768894,-0.87759719878807663,-0.5074914628304541,4.0615278547964992,4.4845186537466946,-6.1248058015145359,2.3313630884848537,-6.0432237321175633,4.2014442747794094,3.8849631613455715,-3.2771187955178318,4.2126609152518215,3.7082096403799953,4.0735517805777492,4.3654242819510403,1.9640537565909326,2.6016289061270657,3.8542548483572903,3.0065325564108791,4.0419470137320461,4.1198397940360012,-6.0586279565133152,-5.1990746194161472,4.7570358580313625,3.9814606970511379,-0.085499518517404782,2.8601588076315823,2.3237930601798,3.5537105864249172,4.019373065825552,3.6876221960745754,-5.7977875405587254,-5.6799820596016941,4.0421482390128078,-5.2353085213936863,4.1839581793509426,3.8697253531180325,-5.2171081239022312,3.1247845953665676,-5.2775639230050144,4.3466187781058254,4.229857570525259,-5.8318871194161472,-4.0895787411965427,3.4561802214346828,-0.86872646302357315,-5.2169026070870457,-5.7484263116158543,2.4695133036337795,-5.0677164727486668,-5.508423679474741,-5.7000273400582371,-2.384531849030405,1.4761222666464746,3.864562160369009,-3.9497762852944431,4.8315531080923977,3.0862537687979641,-5.9344409638680515,-3.4777868920601902,0.21113300978764893,4.840610629912466,4.8818041151724758,-6.0327304536141453,4.0719081228934231,2.6357158487997951,4.2293235129080715,3.840809947844595,3.3152538603506985,3.6268993681631985,3.0060921972952785,4.0086442297659817,-5.1835802727974949,2.4848958319388332,-6.2344092065133152,-5.5369199448861179,-6.3334220582284031,-6.2132896119393406,-5.066432827118784,-1.4480543667115271,3.3920031851492825,4.4146901434622707,-5.7791112595833836,3.1617196863852444,-3.8526743584908543,-5.9049895936287937,3.5681854551993313,3.6677147215567532,-5.6211966210640965,3.6967369383536282,4.1724149054251614,3.472437030669302,-4.7719811135567722,3.929534084197134,2.6585174864493313,2.4152344530783596,-5.0892194443978367,3.7046052283011379,3.3906790083609524,4.7917453116141262,2.8252738779745998,4.0964404410086575,3.8458415335379543,-6.1054814988411961,1.3883909052573145,2.5578230684958401,4.1579734152518215,3.1511603659354153,-5.3443311387337742,-3.804554575089365,3.9519139593802395,-5.7158354455269871,3.0774141615591946,3.7683998411856594,-5.7632640534676609,3.9628754919730129,-5.5107792550362644,3.9301687544547024,4.6595903700552883,4.1110025709830227,-5.9925340348519383,-4.9079335862435398,-6.0116313630379734,4.0381800001822414,-5.4791096383370457,4.6404048269949856,-5.9147142106331883,3.2200423544608059,4.5811253851614895,2.5719155138693752,-5.3072446519173679,3.4785252875052395,4.7884126967154446,4.8735128706656399,0.93153310477361084,-5.5963596040047703,1.4240881270132959,4.1605702704153957,4.401481277342886,4.4116336172781887,2.2761439150534573,-5.4898661309517918,-5.9866064721383152,0.052783197756856692,4.2244850462637844,3.0144556826315823,-5.5977681809701023,-6.0059684449471531,-5.1179498368538914,-5.9642866784371433,4.755299693938345,-5.2662986451424656,-5.939667575959116,2.5774887865744533,3.598171836730093,3.0617722338400783,-5.761318081025034,3.9120718306265774,2.3118149107657375,-0.94558409691229461,4.7828432387076321,-5.7654126817025242,0.027312404509633792,4.2756439512930813,1.9600929087363184,-1.161150538329035,2.0367411440573635,-5.0087841683663425,3.975620395537466,3.1880821055136623,2.7272015875540676,4.3192216223441067,3.8340650862418117,2.8559435671530666,3.5511461561881008,-1.1332349711693823,-5.4355901414193211,-3.4096795254983006,2.4791776007376614,4.6648203200064602,4.1341716116629543,2.2596844500266018,-2.2627447778023777,-5.6280082398690281,3.6935759848318996,0.045447177287191165,-4.5587662392891941,4.2700878447256985,3.568332797881216,0.053109652396291507,-5.3360952073372898,2.4490696257315578,4.8878732985220852,-5.5685132676400242,-6.0200279885567722,2.4781998461447658,-5.3996018105782566,3.8232137030325832,2.8570469683371487,3.0393348997794094,-5.3638433152474461,-4.6927961045540867,-5.9462650948800144,-6.0231627160347996,-5.7078756028451023,4.3533126181326809,3.3287721937857571,-5.3460568124093113,4.0853062933646145,3.2402073210440578,-6.1529258424080906,3.6316906279288235,3.9792114561758938,-5.3954003983773289,-5.3247002297677097,4.1878510779105129,3.7272607153616848,-1.2834967309273779,-4.200078838471323,4.2237268751822414,3.784641391631216,3.8982225722037258,-3.4720481568612156,3.3765975302420559,-5.1755126649178562,4.7304683989249172,4.2413960760794582,-5.0755652123726902,-5.8730138474740086,0.63916409670934082,-5.2855743104256687,-5.9280646973885593,-5.8428872758187351,3.1702209776602688,-1.5372922354973853,3.2740551298819485,3.9582825964652004,-5.8968070679940281,-5.4941357308663425,3.8447271650992336,-5.9965819054879246,3.6187459295950832,-5.6920345956124363,4.2110291784964504,-1.2227924102582037,-4.1958619290627537,3.6590329474173489,4.1788326567374172,3.7835108107291164,4.2851477926932278,-4.472365968827158,2.32739413439855,3.7456418341360989,-5.5271786385811863,-1.2761777573861182,2.6533113783560696,4.0993858641348782,3.3688551253043117,3.51955140292272,0.9623799389563501,-6.0224155122078953,-4.9960721665658054,-4.1175070935524998,3.8025161093436184,4.1205469435416164,-5.2678822213448582,-5.5907281571663914,-5.6040223771370945,3.7243415182791653,3.85278475939855,-5.5447462731637058,-5.2768815690316258,-1.0130716794766486,3.7916637724600735,-1.6983771258629858,2.3243960207663479,-5.9584807091988621,-5.6282089883126316,-0.42723717630282043,-5.5163015061654148,3.1376510924063625,-5.6191514664925633,-5.7415689164437351,4.206941253539175,-5.2534431153573093,3.9675642317496242,-6.0725492173470554,1.9586480921469629,4.1869531935416164,-6.2223313981331883,3.8577367132864895,3.9003025358878078,-5.4860662156380711,-5.8056019479073582,3.5305005377493801,-6.1973417931832371,-5.3344272309578953,-5.4571069413460789,3.975402004119009,3.6755405729971828,3.9099475210867825,4.2384554213248196,0.26568508803471924,-5.1797989541329441,3.2572733229361477,4.3663502997122707,-5.3959749871529636,-5.925296180848032,-5.6979926759041843,2.9078658884726467,3.1994730299673977,-5.936590068940073,4.2089210814200344,-6.0896280938424168,3.9946595495902004,0.054381198283284915,3.6767584150992336,3.7615333861075344,4.8140150374136867,-6.4130009347237644,-5.9415091210640965,2.0899595087729397,-5.3260720902718601,3.7020202940665188,-1.6567391091622412,-5.5412248307503758,-5.6700743371285496,-5.2964433366097508,-5.8124340707100925,-5.5755661660470066,2.9057635134421291,3.9530860251151028,1.3539816206656397,4.2713748282156887,3.7435547178946438,-5.8213099175728855,2.9427110022269192,4.6808501547537746,3.6478635138235989,4.4028011625967922,4.4463373488150539,-6.1728409463204441,-5.7990935975350437,-5.689214580658823,-5.6546972924508152,1.1747036045752466,-5.5775760346688328,-5.4664224320687351,4.2264033621512356,-5.6370757752694187,4.0269590681754055,-5.3465093308724461,3.6384803122244778,3.0052238768301907,-5.3552411729134617,-6.0912598305977879,3.7730208700858059,3.4275070494376125,3.6208459204398098,-5.9925941163338718,-5.4850720101632175,-5.6369341546334324,-4.8173636132515965,3.9032551115714016,-5.7200759583748875,2.9863430327139797,4.0981928175650539,3.4018317526541653,4.6671968764029446,3.8511496847830715,1.6804815596304834,3.8968588179312649,3.834314472075552,3.5979048079214992,4.4432860678397121,4.7364717787466946,-5.3801878625191746,2.2328699892722073,-5.7004131013192234,2.710779315825552,3.4951072996817532,3.1732744044028225,-5.6688474351204929,4.6734758681021633,3.1907359427176418,-2.8448234730996189,3.9047581022940578,4.7213956183157864,3.4439202612601223,3.2129169768057766,-5.8644889527596531,3.3282324141226711,3.5844150847159328,4.6877924269400539,-5.7232388192452488,-5.2029036217965183,-5.2021268540658054,-5.2785514527596531,3.6263157194815578,2.479031211730093,3.5073601072989407,-5.2538922959603367,-3.0699297124184666,-6.25950133145228,-0.72990534544363617,3.7311569517813625,-5.8988321954049168,-5.7185310059823093,-5.4856384927071629,-5.2154592210091648,1.5948706930838525,-5.2093313866890965,-5.3409093552865086,-6.0478628808297215,3.8831917113028469,-6.3964275056160984,3.9812675780020657,4.1653372114859524,2.3977209395132961,2.9845653837881985,4.4032703703604641,3.4935313528738918,2.7370964354239407,3.7417784994803371,-5.8190969163216648,4.1854006117545071,3.6822696989737453,-4.2920180493630467,-5.8522084885872898,3.5731941527090969,1.7521566218100488,-5.8279870682992039,2.7569011515341701,4.248017913695425,4.098847991820425,-5.4763725930489597,4.1806789702139797,4.0674892729483547,4.1557580298148098,2.5360230272971096,-5.1990946465767918,3.1759957140646877,3.3869148558340969,4.0969482725821438,3.3270999258719387,-6.1945279771126804,-5.7646449738778172,-5.7636789017952976,-5.1860245400704441,4.5106087988577785,4.19380677401647,1.4348169630728662,3.0483075445853176,1.3041571444235742,3.0737329786978664,-5.1791127854622898,1.1023757523261011,4.0267154043875637,-6.0973647767342625,3.6752859419547024,3.9452782934866848,1.7036799257956445,-5.7025231057442722,2.6535900896750393,0.59107614218816162,2.3053306406699123,3.3949061697684231,-4.742568605545908,-5.3095802003182468,4.11096347033605,3.2922116583548489,-5.3414553338326511,-5.8058999711312351,3.946593410369009,-5.8377684289254246,2.3679226702414455,2.9427760904990139,1.3651951616965234,-2.5972028905190525,4.2035375899039211,3.466514236327261,-5.7322076493538914,-2.0195505553521214,-5.7662848168648777,-5.9279640847481785,4.3577228850089016,4.2267390555106106,-5.7661789590157566,3.7150350874625149,-5.8282102280892429,4.1812874144278469,-3.0853332215584812,-5.0930021935738621,-4.6041163140572605,-5.9298237496651707,4.4462629622183742,-1.1161883407868445,2.9753459757529201,-1.4426591330803931,-5.3608812028206883,3.1076239412985744,-5.6868876153267918,-5.4807642632760105,-0.39783977806940674,3.6715747183524075,-6.0093773537911472,2.7764593428336086,-5.3116773301400242,4.1185156172476711,2.7369030779562893,-5.5967267686165867,4.0319467848502102,4.0021592444144192,4.0022865599356594,-5.8418825799264011,1.6526974505148828,1.1953849858008325,2.820102817412466,4.2609082525931301,4.1749731367789211,4.3862692183218899,4.3566633528433742,-2.4362351828850803,3.3300324743948879,4.012112266417593,-5.6537359887398777,-2.8257852727212009,3.0882600611411037,0.37636244952306153,-0.12059801161661743,-4.0914295846261082,-4.4639335805214939,-5.920357101563364,-5.0288318330086765,-5.9399326974190769,-6.493007534150034,3.1518148249350491,4.3253170317374172,3.7653600043021145,3.1259836024008694,-2.6130442553795872,3.4876762694083157,-5.858338230255991,-5.0883473092354832,3.8392578428946438,-3.0593122178353367,-6.0411423379220066,-5.8218725854195652,0.73053050696477295,3.9582296675406399,-3.4760218793191013,1.3216131991110742,3.2579966849051418,3.1491898363791408,-6.5008796387948093,3.4683419531546535,3.6988960570059719,4.2128936117850246,4.2010084456168117,3.8220959967337551,-5.3025659257210789,-4.2893997365273533,-6.0911062890328465,2.067372447844595,-5.4109014207161961,4.6016327208243313,4.5009285277090969,-4.0317429238595066,-5.2523106271065769,4.2790666884146633,-5.1373242074288425,3.7997213667593899,4.8305007284842434,3.3830891913138332,3.4761420553885403,0.63557816207036377,-5.7402013474740086,3.9067779844962063,4.2600380247794094,-5.9681919747628269,3.1113175219260158,3.7827926939688625,2.5168422526083889,-4.990298622254282,3.9831935232840481,4.1178962057791653,-5.845271938446909,-5.4591568642891941,-6.054481857422739,2.3576153582297268,3.7698017424307766,3.6942468947134914,3.8944641417227688,4.6226311987601223,2.5652514761649075,-5.1815284425057468,-5.5244868928231297,4.1578036612235012,4.2988306349478664,-5.4960130387581883,-5.8595412904061375,3.6086574858389797,4.1299988096915188,-2.9065550500191746,-6.0575002366341648,-5.3156188660897312,4.0152269667349758],\"y\":[-2.4239424188975245,4.5609880963917817,-1.3609242161158472,-1.4919820149783045,-1.060248257720843,-0.0031989534739405023,5.2746326009389009,-1.9571644981745631,-2.0396699627283961,0.50371637741290032,2.8119253198262304,5.4130541364308442,5.4319583455678071,-4.1813345869425689,0.82002225319109856,-3.361192556226626,-3.4751935919169337,6.2332655469533051,-1.9023222645167261,-1.1458798964861781,0.070623842870816578,-2.1729515512827784,-1.3012585361842066,-2.3668752630595118,4.1861511746998872,6.1666990796681489,-0.07431981166638435,-5.0962627848032866,-2.4883317669276148,-2.0352490862254053,0.68722930351458489,5.3556334058400239,0.84017362991534172,0.15182634988985955,-2.3230533321741968,-1.8098151405695826,6.3171145002003755,-1.5227970202807337,-1.9278317411784083,-2.0975117405299097,-1.8467319925669581,-0.24890917738713325,5.2868897000905122,2.8192738572712988,-2.0351397713068873,0.27459999719820916,0.21939983764849602,4.8468886891957368,-1.251596780622378,3.2370296994801611,4.0774675885792817,-2.157822104299441,-3.4739092310313135,-1.0692414363268763,-1.9240455349329859,2.4415027181264013,4.9130069295521821,1.6697985211964697,-3.5910936315897852,-1.6339909156206995,-0.10385725101269783,6.13976636329852,-0.1988587697390467,-0.72892709089256824,1.9006220380421728,-1.7581078728083521,-4.1603685339335357,-3.7919968088511378,-2.6646362264994532,6.2563449422474946,-1.8575770576838404,5.4354602376576509,-3.8577817400339991,-0.86170599063672126,-1.6714509447459132,6.1034232656117524,-1.7020700295809656,-3.5910142382029444,-0.90599982639588417,-3.278905244672671,0.34204461971484124,-2.493720861280337,-2.9189573248270899,2.5575565377827734,2.1375414411183447,-2.3076520880106837,0.85956921974383294,5.5023647824879731,0.1226136366482824,0.90666511455737053,-4.3640995939616118,0.78360476890765129,-2.229204030836001,-3.5964950044993311,-2.7376447637919337,5.8229342977162446,-1.4376525600794703,-0.0071892460230738031,1.0902816335316747,-3.723750682676211,-1.545060189569369,1.8917509595509618,0.10975864330492913,3.767842916643247,1.0953157226201147,4.7440544644948091,6.2671872655507173,5.0375486890431489,-1.4930325468424708,-1.6865774711016566,1.3132356683369726,-2.5282889326456934,0.2322489897366613,3.053478149568662,-3.6445847471598536,-2.0364881475809962,2.1979185620900243,0.4737764875050634,0.34391608635149895,3.1931356469746679,4.6984931508656587,-2.3206523378733546,-1.3709589560870081,-3.3848780115488917,0.10801014105044304,-1.8686189373377711,-0.27822473844327034,1.7524751702900976,-2.2824387272242457,0.040917066728696216,-1.8718527277354151,3.5393640081044286,-2.5310460050944239,-0.79395885964669288,-3.6142457445506007,1.3428472558613866,2.1670099774952978,-1.0547011216524989,0.053220657503232349,-2.5049843510035426,-0.078191729390993725,0.58263471523486077,-0.33809483250416816,-3.0026050527933985,2.1802228967305273,4.2852317372914399,0.075537113344296802,-0.45325485070981086,-2.1088388880137354,5.6170193235035981,-0.0042112191561609613,3.6995402852650732,1.3101433793660253,3.7294951955433935,3.2245275060292333,-2.5156374891642481,0.19655898014269768,2.7750836888905615,3.9751702825184911,-1.3423747738245875,-0.79763170530833305,-3.783922048414126,5.7760783712025727,0.4742647687550634,-3.9147642572764307,-1.4897038062456995,0.72149756351672112,-4.6768530329111968,3.9998981038685888,2.9275032559987157,3.9596087018605322,-1.4805615266207606,-2.3055076321009547,5.709130434190854,-0.66058179190196098,-0.68876549241878093,-2.0615666826609522,-1.4961245973948389,5.8569709340687837,-5.3729494531992827,-4.7047046144846831,-4.5010617693308745,-3.0754037817362696,-2.2853716333750635,-2.3944978435877711,5.0284039060231294,-0.52450566192902626,5.862429765855893,-3.6829043348673731,5.7198440114613618,5.8193899671193208,5.4614092389699067,-1.839825483167544,-0.37305695017613472,-2.2612950523737818,-1.7410278042200953,-0.47179021140374244,-2.8548248728159815,0.93267014423571526,-0.28739908536709846,6.1978861371632661,-2.2965886314753443,6.0330149213429536,-1.8899432142619044,-1.9679584225062281,-4.8555706461314116,3.2717842141743749,6.2791606465931977,-2.1638055761698634,-1.2251872738245875,-1.6241277178172022,4.5317422429677094,-2.5921070297602564,-1.6452137549761683,-2.5512525757197291,5.8063866178151216,-2.8423815687540919,-4.3189624269846831,5.2906090299244966,-1.2093105038050562,-2.2468459328059107,3.2060834447499365,-0.22580784758366645,-5.0903199633006011,-4.9740699251536284,-1.5329989512804896,0.3640733043309301,-1.9681979139689356,6.0053149739857759,-4.7634843309763824,-2.3324273546580225,4.7507134954091157,-2.1058399399165064,-3.3286565264109522,-2.1642199476603419,6.1403819600697602,-3.1477533300761134,-2.4249170740488917,0.032660750543698658,-1.5147729237917811,-1.7047620733622462,-1.7407974918726832,5.9290868322011079,0.73337867656908928,2.081605819856748,-2.7303775270823389,-3.3545483072642237,3.7827760259266943,-2.4628283699396998,-0.18605199655331672,5.7512680570241059,-0.62760734757222236,-2.2259094437006861,0.66038360992632805,-1.7920636852625758,-1.9738279302958399,-1.9679617603663355,-0.75979690825380386,4.4477821866627778,3.7065235654469579,-0.47790557345189155,0.37111750045977532,-1.2477879842165858,5.3866788426991548,4.6404534856434907,-2.0194360931757838,0.24557277361117302,-2.1719521005991846,-2.534595580900088,6.0664698163624848,-0.97541529139317573,-2.9255004843119532,1.4162239114399999,1.2918585816975683,-1.7989293058756739,1.5153717080708593,-2.089099975431338,-5.2532542665842925,-0.6945296322349459,-0.55396698614396156,-2.0415210445765406,1.6229487935658544,-0.38922444185055793,-1.5070934613589198,2.724437622224912,3.1053611318226904,0.36135938564501702,5.0215751210805024,1.0733109990712255,-1.1420734246615321,4.5590206662770356,5.6490041295643891,0.79236331382952629,5.1439806501027192,0.90493681827746331,3.5825807134266943,-3.3516133745554835,0.96703484455309807,0.013699082529172291,0.43656936088763176,0.18593749204836785,-2.287687393033877,-1.1840383132342249,-1.854727359617129,-1.2767833789233118,0.62264111438952385,-2.3413816412333399,-1.5632042010668665,5.9288293401356782,-2.3667430599574,-2.6569406708125025,-4.9233997782114898,-2.4469978531245142,-3.4312649687174708,6.3557030240651216,6.2044831792470063,6.2774120847340669,-4.958230348432437,0.73083033958636223,-4.9192923029307281,-2.1936223228815943,-1.0237523933295161,-1.9902027567271143,1.2441510240193456,-2.3397497852686793,-2.555000158155337,-0.081854196393862377,-3.352185102308169,-1.7697127779368311,5.1079546491261567,-1.8375985344294459,-3.7284103353861719,-2.6187299211863428,-2.6839514692667872,-2.3111585100535303,-1.5935382564906031,-1.7216208895090968,3.1498731652852148,-2.1834809502009302,-0.81959226926602424,0.29429247776232659,-4.2564638574961577,-4.0790687521342193,-2.2445436437968165,0.86365702549181878,6.2456165830250825,3.1487597505208105,5.6828376332875337,-0.31161385973729194,-3.3768814524058253,-2.1371415575388819,-2.4847284277323634,-0.63256122370995582,4.585175184404477,-0.86869067152775825,5.7339288274403657,-4.7821448763255034,-1.6008018573168665,-1.3599250038508326,-0.89102895756997169,2.0458225289937109,-3.0228110273722559,3.6446587125416845,6.1587616483326997,6.3113709966298188,-0.93845525583066047,0.27336951891146599,-2.2699178179148585,-0.8309136574510485,-0.5421614368800074,1.9949585477467626,-1.3848834355715662,-1.2548774202708155,-0.303394796455279,-1.8503794391993433,-1.6082303841952235,1.0362267772313207,-0.25962552627362312,-2.2054419239405543,0.15909203687869011,-2.3545452078226954,-3.8162888010386378,-1.7407530268076807,0.15898248354159294,-2.9843977411631495,-4.7334559877756988,0.4603710452672094,6.5101992169972505,-0.99471473892964424,5.3173429051991548,0.010975567495450367,1.3160141984578222,6.0811940709706391,4.2911726514454926,5.8067003766652192,6.1516915837880219,-3.8477219065073878,-0.56223127445019783,-0.60679900100268425,0.26178195873461663,0.77471056381426751,0.02344634929858147,-2.0636211355570704,4.3087302724476899,2.5385943929310888,-3.7607172449473292,-2.8300114591959864,1.6987279931660741,6.1059791127797212,-2.367948623502627,-1.3026901801470667,-1.582632096612826,-2.562305541837588,-3.0956462343577296,-0.49307361444272102,-2.3902754505518824,0.096637038385495533,-1.002995671832934,6.155241159593686,-2.3592964132670313,-2.2031477411631495,0.19480547109805046,-1.5894029458407313,-3.7234464605692774,-0.57716794511117042,1.0069606582280248,-5.3106635530833159,-2.7188754995707423,-0.67533974921144546,-1.5247779806498438,-3.3243452032450587,3.8057982007618993,1.7180282155629247,1.8951307813283056,0.38730898300372063,0.4815432111378759,3.4106136838551611,3.9369875470753759,5.7471791783925141,-1.6154571493510157,-2.5282175262812525,5.5046383420582856,-2.2374744137171656,-0.74580705364979805,0.63541057506762444,5.0971418897267426,6.0172392408009614,-1.1334699412230402,3.5790030042286962,-0.63466766675747932,-1.9919628818873316,-1.4715509136561304,4.1195961515065278,6.0665365735646333,-0.15717074474133552,-0.83351120551861824,-0.041548641527071606,-3.4789639433268458,0.08589747348986565,2.8287989179249853,-4.2947400530222808,-1.6391935070399195,0.73227992454729973,-1.9409398754481226,-1.9238525350932032,-3.2999371012095362,-2.4444392641428858,0.584676412736997,-0.47898596724309028,-0.063820513093844067,-0.85163870652951301,1.7567495385762304,5.9222551862355317,-1.4317240436915308,-4.290679307783023,-1.6689185818079859,-1.9907366951350123,3.6644283811207861,-1.208278807008639,-3.2294615229014307,-3.53181395133771,0.16766300598345696,-3.8767207582835108,-1.6996605714205653,-3.1247032602671534,2.3767744580861181,-5.1896551569346343,-2.085426183545962,0.15554716983996331,-3.1717403849009425,2.5828756372090429,-1.5759708603266627,0.50336995521746575,-0.00096622308529914491,-3.531302066648379,2.3629836122151464,-0.51668662031926216,6.5097676793690766,0.10245349804125725,2.4005526582356542,5.1191674749013032,-2.2253373583201319,3.7342983762379736,-4.8967646082285796,-2.1765366514567286,5.1614891568776216,-3.658861013257876,1.1124904433842748,-1.3171585520152003,-2.0713031013850123,-1.6945940574053675,0.51691594520770012,-3.4552353342417628,0.68430438438616692,2.1503387967702001,-0.44561726053990425,-1.3538924773577601,-1.7000657041911036,0.19344046512804924,-0.25588000019825996,4.1527763883229341,-0.056277902925387036,-2.3305705507639796,-2.6961437185648829,-1.2722177823428065,-0.1896642764452845,-0.37577939232625068,6.5140706578847016,-2.6139056404475123,6.2066051046010102,-4.4964416941050445,1.5446392575856298,0.22592374483309685,5.8738400022145356,-2.5415188988093287,-0.46387927433289589,6.3667241613026704,-5.0694449861887847,-2.1448111256007105,0.58100822368822991,-0.52378004988469185,1.5315343419667333,0.30252352157793938,-0.27326551278866829,-3.302570434415713,-0.26172504028119148,5.6343637982960786,-3.9731949289683253,4.9236470739003266,-0.017684849107638012,-5.1671312769297515,-2.1053601225260645,5.7960950414296235,-0.75854998281039299,-0.19752535423077644,5.9886652509327973,-3.0913077314738184,5.5834752599354829,5.8752571622487153,5.6014906446095551,-1.6426285227183253,2.61355319420062,-2.5852859934214503,0.032042411958798755,0.14958980480395256,-5.4139483888987456,-2.1020459850672633,0.086386946832761158,5.8410164395924653,-1.2037187536600977,4.2020098249074067,-2.2779335697535426,1.0987122336979955,-3.459409805143252,-2.2577160318735987,5.1850587407704438,-2.6689614971522242,-3.7811191995982081,6.1284867803212251,2.7336803952809423,0.34952881733141838,-3.34799465736188,6.1840998212452973,-0.59392323544062675,-2.1494937857035548,-0.99437400897778572,-2.485010357702151,-0.55357498129643501,4.2672535459157075,-1.966421695554629,-1.3056107481364161,-2.0817610939387232,-1.8661416490916163,1.1090861837025732,2.5411118547078222,-0.28003990849293769,0.32085719505511223,-1.5454110821131617,-2.0634958465937525,4.3861509839650239,-1.7415537556055933,2.8075331727620214,-1.8260016163233668,0.1392575780507177,-2.8897417505625635,-3.4982336481455714,-1.4735290130022913,-2.5246780832652003,-4.7272222956065093,-5.0906585176829253,5.9258219281788911,3.3085028211232275,-3.1412273367289454,-1.4506988843325526,-1.7402947862986475,4.1155492345448579,-1.8608510216120631,-2.1143266876582056,-0.94771781762875618,0.50713565746508538,0.45906033912859856,-0.46734926303662361,6.0061265508290376,-3.1791225393656641,-1.5013940056208521,-0.26577314933575691,-1.7897350510004908,5.63598218361102,-2.0897912701014429,-4.5101326425913726,-1.6685838421229273,0.97515573898516594,-2.7128883322123438,-0.32605084975995124,-3.5607670267466456,1.3025166074391454,-3.6134074648264796,5.893799451982602,3.2949859181996435,-4.6001072843912993,-3.0487497766856104,-4.0350559671763335,-4.5549701174143706,2.9335071126576513,-2.3022573908213526,-1.7962529381159693,0.5133655349370092,5.6860047856923188,5.159546522295102,-4.9965170343760406,-2.1413491686228663,-0.82106331934966148,6.3522821942921723,-0.51868814429081977,-1.7872458418253809,3.3782621900197118,-1.169714810455218,-2.4311220367792994,1.5110184232350439,-1.2300030310992152,-1.2066546698454768,-1.225744934881106,-3.5523766001109034,-2.6143294294718653,-2.6177423914317042,6.0290595571156587,-0.50202726026810707,5.5554124395009126,-2.0825966318491846,0.82027926841937004,-1.0108128507975489,5.9120933095570649,-0.79877247860468925,5.0785557309743012,-0.31409719785489143,-1.3025124987009913,-4.4558144529704009,-2.3140825947169215,-4.6657434423808013,0.41521671215258538,5.1376625577565278,-3.4929128607157618,0.48376431862078606,0.29471722046099602,3.2478906194325536,-2.2987181862238795,-1.0797995050791651,4.2867161313649262,0.0086186210270970953,-1.9105398376826197,0.51899733940325676,3.5210286656972021,-4.0809699018839751,3.3192664662953466,0.70587757030688225,6.1707736531849946,-1.5136269052866846,4.7605287114735688,1.2189218083973974,0.45066287914477288,-0.091579588258638989,-1.3130245526675135,-2.0013136585596949,4.0836221257802094,1.0017936507817358,-2.5277898033503443,0.11476179758273064,-3.4343720396403223,6.1084958593007173,3.0255440751668066,-4.9682110269907866,-0.095709474885836254,-0.18845281204022468,-1.0779137929324061,-2.2594849785212427,-2.3959475477579981,3.6926156560536474,5.6331044713612641,-2.3972980697993189,-2.1494072397593409,-1.8019695003870875,-2.0892197807673365,-2.9782463034037501,-2.4243255575541407,3.3101173917409032,6.5054933110829438,-2.6928626020792872,-1.9548871239069849,-1.0323364158514887,3.8065759221669286,0.62841287056170403,-3.9875546415690333,-1.8541104515437037,0.92590418258868157,0.30194666782580315,-1.5018984397295863,0.4845412055607885,-0.17712667783536018,6.4476925412770356,-0.47259341379441322,-2.5780229290369898,-3.4406310041788966,-1.6972892006281763,-1.2190810163859278,0.82663360038958489,-2.8337613066080958,-1.8718189915064722,-2.4918985088709742,-0.4765626957062632,3.815107492601499,-3.0737915953043848,-4.5077687223795806,-0.55044420262612404,1.6344713250752538,0.59758129516802727,2.3286994973774999,-1.5176588614825159,1.3997396508809179,4.3693019429799165,-3.5230122526530177,-2.2236046512965113,1.099791912233457,-1.3247968276385218,6.2552506009694184,-4.1716831644419585,-1.3806635459307581,-3.7157302816752344,1.2596484700795263,-0.46185544332303108,1.3177145997639745,-2.3060733993891627,-0.057403357828035961,-2.1491220911387354,-1.5088147242907435,-2.2488428076151759,0.89430573383532463,-1.2219919284228236,-1.7824537475947291,4.7233945409413423,-0.8146330138090998,0.60548105636797844,4.515163091814145,-2.2426744421366602,-0.93062654336728157,-1.4334760030154139,-3.3568438013438135,-0.10162368615902961,-1.2473947127703577,-1.5495269616488367,-3.387439819181338,-2.4978031834010035,-2.4426278789881617,0.23960020939074456,2.0904172937031835,-2.0420862158183009,4.447622923051938,0.33577218452654778,6.0066849271412934,-1.2338218410853297,-0.76057930489815773,1.4095458070393652,-0.41820094188489021,-3.2321222742442042,5.8363801519032563,-3.3232058008555323,-2.5770795067194849,-0.31931096514500679,0.72523787418566643,-0.036010058725252758,-1.6460498293284327,-4.2690785845164214,5.3818947354909028,-1.8912765701655299,2.2370673696156591,-3.2408536394480616,-0.01739844878949226,-1.6100855191592127,1.1436475793477148,-2.5046910961512476,1.2412191907521337,3.1574496308919042,-1.7195602377299219,-4.7333548982981597,6.1509872953053559,-0.61843190541304649,-2.2150703390482813,-5.430299611890689,-2.640328617895022,-2.9598692377451807,-2.3358186205271632,2.9129666368123144,1.7064711133595556,-2.3687793930415064,-3.3262511213663966,4.272367624437436,-2.3304073532465845,-5.2894814928416167,-1.5694117864016444,0.69464531341753899,1.2206509391423315,-0.38724771341122688,-2.281199904287234,0.87080135742388665,-3.0151425321940333,5.7142797986622895,-1.7597033699396998,6.3953572789784516,4.580111650621518,-3.4103980978373438,6.4420615712758149,-4.1383369882944976,-0.40766781767643989,-4.5225485285166656,-4.4413059671763335,6.0136028806325044,-2.5683570822123438,-2.0698828419093043,5.9267965833302583,5.8210684339161958,-1.584379287565127,2.4513479749318212,0.31395700374804436,-2.8859759291056544,-1.6249425133112818,-2.4603950699213892,-1.8524055202845484,-5.2353986223582183,0.18474444547854363,-2.2207362373713404,5.3366757909413423,6.5767537633534516,4.927673963701352,-3.2087076624277979,-1.4646193703059107,-2.422739358747378,5.3576818982716645,-2.099086376035586,-0.80372051348723472,-3.9434927423838526,-2.9411636312846094,1.1226489822026342,-1.3077832778338343,-0.78446293076314033,-0.68009287318028511,4.4954034368153657,-1.7862660606745631,2.6894771138783544,-1.0091382583025843,1.5287803689595312,5.8734637776967134,-1.9619347771052271,5.6830383817311372,-2.5390444715861231,4.1398221532460298,-1.2197047789935023,1.6846672574635595,6.1165787259694184,-1.2854562123659998,-0.56570275327004493,-2.1670902689341456,-2.8032799681071192,-1.1525176187399775,-2.3812174518946558,0.88983025947771965,-4.9088624437693511,-1.5525943954829127,-3.266095014417544,-1.3213318904284388,6.33929028907977,6.3083335439320649,5.3751651326771821,2.3950490037556738,-2.5892675836924464,-4.4900182207468902,-3.7087305506113917,5.0579430142994966,4.3881346265431489,-3.241342874372378,-0.76926513587869705,4.7141295949574555,4.8203302899952973,6.2412511388417329,6.1266581098195161,3.4219328443165868,2.9060088674183935,-1.6100386103037745,2.0702642480488866,-0.63595286955870689,0.001632181799039234,-1.7061382254008204,2.1587850133534521,-5.0214823206309234,-1.8804079016093165,4.8964935819264497,-0.22585761746205391,-0.9315751661900431,1.6518577615376562,-3.7565096338633448,4.5343104879017915,-0.25433305105008186,-0.59171976348198951,6.2357431928273286,-3.9927330931071192,4.1006461660023774,6.3245631734486665,0.31341960827074944,-2.3546580990199,-0.027807446325197827,-1.5766496380213648,-3.1263745745066553,-2.0799854715708643,-0.87494377990998329,-4.1723013838175689,-2.6738413294199854,3.1740800420399755,-0.7417087220940739,4.9637571851368989,-2.4503285606745631,1.6926080266591161,0.85934927860461174,3.4705716649647802,-3.294992776716128,-2.8455587347391993,-3.1253803690318018,3.7592670003529638,-0.76378666808642448,-2.0003306587580592,2.2952796498890966,6.1151291410084809,-1.1817605515364558,-1.4531759341601282,-4.4622977693919097,-0.50720545848645271,4.1018168012257661,3.4780861417409032,-2.2370871027354151,1.986632732545957,-1.8131473978403956,-5.0639975984934722,-2.3007143457774073,-2.705123277509585,0.035058585798367847,0.22291055122576653,3.6925312558766454,2.8941611329670995,-1.845871420705691,0.78922310272417961,-2.3646841963175684,0.97853210369311272,-1.6979959925059229,-5.2773097475413238,1.0312146226521581,-2.0426032265070826,-1.8615666349772364,-1.660240681970492,-5.3637460192088042,4.6611811200734223,-1.0947847386244685,-1.9412618597391993,-3.1654377897623927],\"z\":[1.7209126597205178,0.304718563512899,2.9518279677191748,-0.11627197806444017,2.527021372870542,-1.1616564149102195,-0.44043216650094835,-4.4422009343346582,-1.8901479596337303,0.64212461765203632,0.90162458475027241,-0.5616598481377586,-0.31387249176111071,1.6474694853583352,-1.8559828156670555,1.3017032986441628,0.53710638935957111,-1.2055859917839988,3.2410707121649756,3.5603587275305761,2.2997942810812964,-4.4041054600914942,3.0363416319647802,-4.1149027699669825,0.53898705001268543,-1.3542396182259544,-1.0455540770730003,2.2678830271521582,-3.1062190884789453,3.3926832323828711,-1.9399180764397606,-2.1132080907067285,0.8171541338721291,0.90080531890783466,3.2868349200049414,-2.2322132939537989,-1.6255686635216697,3.6978158598700537,-3.3646304959496485,-4.3691227788170801,-0.46031162683572618,-1.7735357636651023,-0.24576518480386583,1.0056945925513283,0.77559181507024921,1.1263341551581398,0.76457359846029438,-2.0971832627495752,0.32114868070278318,-2.1789520138939844,0.59330972488317646,-4.064512526436709,2.7288589125433935,-0.74776128475274883,-3.9802940243920313,-2.265229021950625,-2.1370454186638819,1.3236580735007302,2.5187892561713232,-2.0720038766106592,2.070060694769956,-1.8430841321190818,0.54968904908094562,-1.9872184151848777,-2.2787847871026026,-0.65203252975549542,2.3033556586066259,1.9580397253790871,1.5473641997138039,-1.1801981085976585,2.8522421961585058,-1.9414627904137596,2.2424358969489111,1.4935800677100197,2.6814934855261816,-1.8734398240288719,-1.0633577460488304,1.3253179436484352,-1.3942010754784568,1.4389643317023293,0.87805118616018452,3.1031601076880468,3.1063513403693213,1.1078978424826638,0.92488339002523579,-0.33500662986841051,0.91635533626470722,-0.61538109724130474,1.9235921746054665,-0.84139434043969952,2.2650366669455542,-2.0481994504174219,-3.7735307568749414,0.60138397868070759,-0.051875984116457385,-1.3837494010170921,-0.086225038214586658,0.22023350949678572,-2.3228574151238428,1.8464862948218361,3.7029113417426123,1.2781826501647011,-0.56737945024576031,0.46906028892192991,-2.2135410660943018,-2.0628683919152246,-1.2380369061669334,-0.04046544973459093,0.837201023654081,2.9908573275366797,1.2327821498671547,1.9862050658026711,-0.17170277778711168,-2.2872708195885645,1.6243790036002175,-4.4389136189660059,1.1687112694540993,-1.7915833348473533,-0.93923786823358379,0.89649810846243061,-0.089318996115587634,2.4751481657782568,0.021782869652844983,1.0894958620825783,2.415010178641416,-2.4634974354943262,-1.4219024533471092,-2.0867083424767481,-1.6111193055352195,-0.87906924430932842,3.3997888212958349,0.84418412502203144,-1.2857990616997703,-1.5206691378792747,2.2332950478354467,1.4481854086676613,1.1002716666022316,-1.3295537585457786,2.6543135290900244,2.2881769781867041,-0.75032225792016827,-2.3060582036217676,-0.78535715286340557,2.4039139395514502,-2.3108218068322168,0.51729873772058643,-0.67585364524926983,0.053315753296948987,-1.8620951527794822,-1.9020243043145164,-1.2004583234032615,0.78582485969457783,-1.6618275994500145,0.86647834833059467,-2.3881311768731104,1.5621211176672951,1.9238834028998391,1.0202697759428994,0.47894205357227476,1.3589428907195107,-0.32135615293588488,0.68090977723989643,-0.55646727029886089,1.5054069405356423,0.55365350301656879,-1.5736995095452293,0.95347877796087421,1.1247000342169777,0.71669798548612751,-2.29292706195917,0.71361448820028461,3.739574158743955,1.3499763255873696,-0.61775795166101299,-2.1065354699334131,1.6193426495352761,-3.5662513131340967,3.0720355158606543,-1.9200106019219383,1.8633428459921852,1.5980829840460793,1.7556627636710183,1.7654970532217995,3.3954834585944189,0.94232525880727924,-1.9662084931572898,-1.849751507683657,-1.9525401944359764,1.4878282194891945,-0.63729122821893536,-0.7145071381768211,-0.39546743576135485,-1.3430507535180076,-2.0330062264641748,-4.1679814213952051,1.0494790321150795,1.4979819899359719,3.2407769804755224,-1.3561985844811424,1.0498764162817971,-1.191149269982241,-2.0094900483330713,-1.8639381283959373,-0.47995248977746813,-4.5793383473595606,1.6782898550787941,0.74070682580862202,-1.5883779877861961,-2.3771019334038721,3.1538161879340185,3.7083072310248388,-2.0808737630089746,2.0160249119559301,3.8996264582434668,0.14952222462091597,-2.0323360318383203,1.6737135296622292,2.1459217911520971,-0.31565431301202623,-0.026652877970598621,-4.1024010533532129,-2.1747932786187159,-0.94935015384759747,1.6422769671240822,1.5686887150565163,-1.7098124379357322,1.1636628156462685,-0.7162318581780418,-1.7282541150292381,2.2822488194266333,-3.2276380414208399,-0.078878974362276477,0.74750124867353596,1.5832513218680397,-4.0884254330834375,-1.0145118588646873,1.189559364871122,0.3903947194973007,-0.94834426586236797,3.1389162188330664,3.1442126875678076,0.47066290880832823,-1.2757071608742698,1.0581040626326577,1.1477326398650185,0.32490608300361784,1.9128696566382424,0.5173266773978249,3.0760864859381689,-1.1544330472191795,-1.9826200360497459,-0.64909449760522686,-0.23120782320108263,-1.76178578083124,-1.7653222436150535,-3.3801544064721094,-4.5782168263634668,1.0214734321394936,-2.2039041871270166,0.72845580633077778,0.88445487077627338,-0.29914370719995348,-1.0816707963189109,-1.9775553101738914,0.39048799331579359,3.4803926592627539,-0.32863870803918688,-4.1809685582360254,-0.092906569882296008,-0.93725935165490948,0.74785491283331074,0.18445610459242018,1.2826760655203835,-1.2093589657982811,3.7233423834601416,1.2038882618704811,-0.49340949003305284,1.7500769739905373,0.059543306187726575,-1.8433957452019676,-4.282156741066836,0.72548347170744099,0.66199704463873066,1.3617116456786171,-2.2377672547539698,-2.2304728383263575,1.6928121691504494,-0.30780450050439684,-1.2986466044625267,3.625844443396665,0.34684939514193686,-0.9748978966912254,-0.88790789787378155,-0.12677953188028185,-2.02537015621271,0.84438320453558124,-0.21080580894555895,-1.6897497529229148,2.1563965922156347,-1.2289797419747337,2.7292678004065527,-3.7606008404931055,-1.0677769536217674,3.5967497473517431,3.3604943400183691,1.1257096772948281,1.3127427345076577,-0.76174894516076885,-1.2205983752449974,1.3196410780707375,-0.30704352800454943,1.7848413830557839,-2.7273321503838526,1.1913472061911599,-1.5190250033577903,-1.6133187169274315,-1.6711378449639305,1.64319309051428,-1.9469058865746482,2.2391173487463965,-3.567005431099795,-0.79229167644586407,0.58494160528574146,1.1052656417647377,1.0154487734595314,1.4312659149924294,-1.6040673608025535,1.2016483789244667,0.15209474618826063,-1.9866021031579002,-3.9850170964440332,0.46787341143283995,0.12375443632993849,3.3176071291724218,3.3351301794806494,-0.17860732023324816,-0.40273997728433458,-2.2626276368340479,0.15176876838598402,-1.4128768796166404,-1.7225137109002098,1.9167555218497292,0.71580704505834736,0.77422132547292866,0.83087646420393146,-1.174794232293032,0.9538275843420998,-0.67436913196649395,-1.3853454941948875,0.055805141285993176,2.6971456652441992,-1.7222819680413231,-2.036694561882876,0.22020485456380995,-1.0017899626931175,-2.0363965386589991,1.9681576138297097,-0.60229984466638409,2.8106479292670263,0.7931694930354134,1.2149381881514565,-0.59038505498971783,-2.3249888772210108,-1.0659122819146141,-1.3062185401162132,0.43357135187182577,2.4989740496436132,-3.7645094746788965,-0.038051163597963733,0.098663741902448254,1.1280154829779641,3.7040762549201025,-1.1353292817315086,-2.2370138520440088,-0.73369005863275372,-2.0130548829277979,-2.1559827679833399,-0.45105413143243639,-1.5762316340645774,2.6990682726660742,1.4027789479056374,1.7726575976172463,0.37313892850000413,-0.86793092434015118,1.7184003239432351,1.8767610436240212,-1.1653086299141868,-1.5945712680062278,-0.19997534696664659,-0.27938840334024279,0.9043699746886269,-1.3924358243187889,-1.7441013211449607,-2.164802586480044,-1.8035307282647117,-1.8367646092614158,1.1526832824507729,0.50072960014734424,-2.2032118195733057,2.7361378317633642,-1.7908523434838279,0.80211066658888019,0.25911098177824171,-2.3312256688317285,0.96546807344350971,1.5409364348212258,3.214291298941709,1.1345819478789345,-0.99145928566064678,-3.8196928853234278,3.6591691618720068,-2.5635261887749659,3.3964278345862402,0.8544526642123238,-2.1815410012444483,2.2979336624899878,1.2083266025343911,2.6538922434607519,-1.666209256096743,-3.8914845341881739,-3.7873032445153223,1.6922328120032326,3.0861770754614843,0.4213397895852104,-0.360995268269442,-1.2482587451180442,1.9154033308783547,2.0755170231619848,-0.26055273954477159,0.32712042163405569,1.4042644148627297,0.71589305456075825,-1.821381842537783,1.0160376673499123,0.78435095603857197,-1.052843605919741,-2.2612905854424463,0.6890948658743874,-1.8348224515160545,2.9087946062842382,1.6430362110892311,-0.4968474263390526,2.6027874594489111,-1.3492400998314842,-1.486954843445681,-2.07944730465021,-1.1020439023217186,-0.54610196296777569,-2.2726106995781885,1.2273513322630898,-3.0372295731743799,3.5530161505499853,-2.1356568688591944,-1.7008445615014061,1.016341054991819,1.5856625681677834,-0.14174357597436754,0.88299956376943745,2.455823863104917,0.98261817748937763,0.75345029886160053,-1.5385767573555931,1.5969053154746071,-2.8063612336358057,3.5408041125098242,0.98550584371481098,-3.5016446465691553,-0.75427452270593487,-1.2737386578759178,-1.6466327065667137,-1.8502304906090721,-2.3419442528923975,-2.0458758229454981,-1.2706771249016746,1.9913510924139992,3.4627344256201757,-2.2016206139763819,-2.2152846211632715,3.0283591395178808,-0.47989234869088976,0.068220908001996594,-0.77350369636621319,0.50619247014913715,0.83226543124113239,-0.759559070511721,-2.1788525933464991,1.9045886641303078,-3.9743526334008203,2.6428641920844091,0.82426616008672871,1.0060130005637185,-0.90193072502221905,0.99577304180059589,2.2701818590918554,2.87701340969,1.1097865944663063,1.0397622233191506,-1.4801934117516502,2.5116467123785986,1.0542903190413491,-0.10410792176332323,-0.52546677534189068,-2.2278192395409571,1.8003981953421608,3.2558207159796728,-0.13142303173150865,1.5368673449316994,-1.7740826958855613,3.0596899634161963,3.1895594244757666,-0.17401996795739977,0.91778298671636738,1.6361664181509987,-0.73427704517450176,-2.2525081986626612,-2.2196486348351465,0.69169294293317951,-0.46725687925424425,1.1021707301894204,0.53705961461458362,0.62042188103590168,0.86326968129072346,-4.1374972218712793,-0.08763489667978136,-0.55257776920404278,0.70897960122022785,1.4694782143393532,-1.6909764165123924,1.7370013838568703,-1.2234360331734642,1.392500722960569,1.1404010897437111,0.70430269296560444,-0.77642956916894756,0.55308466608915485,-0.35568419639673082,-1.5766607875069603,1.8585914021292702,-3.3035679215630518,-2.3364601487359034,0.90753599460516132,-2.2550762051781641,-1.1180763596734031,0.65383696015272297,1.2952232008734719,-1.9782958382805809,-0.59248397295083843,2.2972430830756201,0.038324529484845715,0.091932917193509656,2.0057422762671484,-4.1635878438195215,-1.8778262490471824,1.3438335901061074,0.043047363118268567,-1.7005379552086815,1.8161207085410134,-0.69823590461816631,-1.9868114346703514,-0.68850151245202862,2.8571991568366064,0.96169736440572895,-2.2192685956200586,2.4049763327399267,0.58710421080980457,1.6121569519797341,-3.7493899220665918,1.4361596947470681,-2.0254648083886133,-1.0320638770302757,-2.194324767037295,-3.3233628625115381,1.1207342391768471,0.93353792484197773,-4.3238962048729883,-2.0157058591088282,1.3689778691092507,2.3818230276862158,-1.6327367181023582,-2.2361541146477686,1.2783063894072548,-0.34779039566125719,-1.6785416955193504,-1.3047206753930076,-4.0978777760704981,1.7616051083365456,1.1861673241415993,0.96773936803732075,0.19234318490419539,-0.61603239719476544,3.5063635950842871,-4.0356600636681543,-2.7837984914025293,-2.2865541333397852,-2.1630576008995996,0.47733135725650938,-0.85122517292108379,3.5315065031806006,1.2911687141219155,0.43814096058998259,2.8295335417548193,1.0183514600554482,-2.0716970318993555,0.074111575440503674,-0.1683719510277733,1.8081029301444069,2.813250506476499,-0.17830512468423693,2.2930901890555395,1.8301757221976296,-2.1124124879082666,-2.3127229565819727,2.3696720248023047,3.7532853728095068,3.6653802042761816,-2.2501683587273584,-1.7157409543236717,2.5517861491004004,1.3657154088774697,1.0044521933356301,-1.9490778798302635,-2.0694294327935205,-1.3766488188942894,1.0883080011168496,3.7152385359564795,0.24303577299509199,-2.3975520486077295,-2.0111916417321192,-2.1207371110161768,1.323900664404966,3.4216956740180029,-2.1676068658074366,0.2165401970902458,0.53535660560522236,-0.029214953823946399,-1.4250539893349632,1.3786654120245949,-2.1199062222680078,-2.290758168145083,2.2367086058417334,2.3664700632849707,1.4042710905829445,1.6668164377966896,-2.2967899197777735,-4.0652792805870996,-0.19649956171121447,-1.7053244466027244,-2.096262490197085,-0.27862081472482531,1.8389694338599221,-0.70852748100366436,0.39061276912037285,-1.4190649146279319,0.61508458311948933,2.6585242396155371,-2.3407025689324366,3.5099353438178076,3.1888248568335547,-1.7592449540337547,2.296513879851438,-1.2292689437111839,-0.55698255245294415,2.4151751642981543,0.8907671218672768,-0.10765579883661119,-1.8264146203240379,2.3196100836554541,-1.9832051152428611,-4.1977947110375391,-1.2108956927498802,-1.2360688800057396,-1.8238900059899315,-0.86720553581323467,-0.027806436463259143,-1.7001874798974022,-1.2176562899788841,2.3941752558508886,-0.45528093521203844,2.2259193306723608,-0.068795179768465442,-0.41647366230096666,1.3449152951994912,-0.54538110439386212,1.3633727675238625,0.85273441131506122,0.24904445763025435,0.6631188338557259,0.4339464550772682,-1.3287616128167137,2.2579960470953955,-1.4042799824913963,0.61381466145906605,2.3593933230200781,0.8688000386515633,1.4263145571509377,-1.6951468342980369,2.7577550059119238,0.17524067516718062,0.9498038535872475,-2.0003671998223291,0.18651787395868452,0.43843322451505812,-3.9814703816613184,0.57061597164068378,-1.5036745423516258,3.0048808699408545,-0.33383670990075914,1.7172023897925393,-1.6321361417016014,0.98652752693090595,1.9697740917960183,1.0880603438178078,-0.53754291479196392,2.773108208731748,-4.2355239743432032,-0.37801322881784288,0.72456821258459247,-2.0279355401238428,0.54893437977228321,3.1907698756018652,3.0268418436804785,3.457516396597959,1.4449412470618264,-3.340039288445376,0.84601234848890461,-1.4419619197091087,2.3569098358908667,-0.14701214973535387,1.4355934506217018,0.62639995868597187,0.99976345355901874,1.2342852001944558,1.2835021858969704,1.2228841429511086,-0.21482173149194567,3.613076413230039,-2.3255999440392481,-0.17167637292947618,-1.5193666571816429,-0.21886805240716783,0.57198853249941028,2.5018155222693457,3.2400831824103369,2.9130816107550634,-2.1386235112389551,-0.26648065988626329,-2.7126224393090235,-0.13236359302606432,-0.18778732959832994,0.67918309028539814,-0.97862473671045147,2.0716530924597754,-1.9102948064049705,-1.6672747487267479,-1.7135117406090721,-2.2741632813652979,-0.32925484125223009,-1.2433543557366356,0.36929347710032018,1.8232771998206154,-1.2759771699151023,1.1154466515341774,-0.021791195317171497,-1.1791127080162986,0.8878723030844704,3.6451568251410498,1.9975769167700783,0.7745423858920113,1.2915099507132546,-1.8756244534691795,-4.3823464268883692,-1.4591155404290184,-3.7586329335412012,-1.5040309781273826,-2.5591385716637598,-1.6513920182427391,1.5046544914999977,-2.0850282067498194,-2.1008479947289453,2.6287481432715429,1.1270150786200539,0.32470682095084341,-2.057024037285708,-1.2075527066430076,-1.065495407029055,0.13675721939001234,1.3079818731108681,-1.2754156941613182,2.884389365271665,1.3640479093352333,2.0701118355551733,-0.37930515949334948,2.5852379446784033,1.2134255414763466,2.5993244295874609,-2.2355978841027246,-1.3153759593209251,-1.8953039998253807,-0.45669290964212267,0.87915643508825458,-1.6264961117943748,-1.0798709744652732,1.6988180523673073,-0.94540134613122784,1.667353714064695,0.037134016112424451,-0.90237275306787335,1.2605692392149941,-1.1737389916619285,0.40754000674281271,1.4392054920950905,-0.45946708862390367,-3.0717862004479395,1.1325286274710671,-0.66270211879815899,2.3558253889838232,0.1166816001692787,-1.7870245331963523,3.0938043242255224,1.4199568873206154,-2.2672367448052393,3.5120024328986181,1.9821776991644875,-1.0933958644112571,-1.7200847024163231,-3.6352956647118555,1.8281238919058815,3.2434551363745703,1.7570126896658913,0.94751032646093525,0.94733711536321796,1.0536057596961037,-3.5108058804711328,1.2466590052405373,0.47824824060592802,-1.6976774090966209,1.6713567620078102,-1.3610468262871727,-0.77255121414270245,-1.1383841389855369,0.02872138674650343,2.4830815439978613,0.88447066600713886,1.9429345970908181,-1.0324172133645042,-2.3510797375878321,-1.4476848000725731,0.26201189513597639,1.1477381830969826,-1.4810302609642967,1.7048794871130959,-0.53395435754861675,1.6828380471030251,0.90038057620916523,-0.99898735229577862,1.2779807096282021,-3.4881890172204004,-1.5146830434044822,-0.72990480606164776,-0.610877429886721,-2.2288358563622461,-1.8078728074273094,2.216438139037229,-1.5956042165001854,1.2107753997603432,3.7306248789587988,1.7515104656973854,-2.2431216592034326,-3.7950709218224512,-0.27807972375955431,-1.5701052302559837,-2.0571282262047754,2.8631963377753271,-0.4825310463150963,1.6426313763419167,-2.0708632821282373,3.3254556303778662,-1.9241636151513084,1.9326098805228249,2.1696555262366308,-1.3984380120476707,-1.1418389434060081,0.19010824914369734,-0.1337219232758507,-2.1535916680535303,2.7292859202185644,-2.2689855450829493,2.4331793432990088,1.0194046741286293,-1.8206553811272606,-3.9941161030968653,-2.0084650868615137,-0.075243359251879138,0.55220734532270588,-0.75211945716943585,-1.5432904118737205,-1.80182484333124,-0.82482949440088116,0.86275687272939838,-3.5396340245446192,1.3238997703352944,0.044734383181668835,-3.2960760945519434,-2.0534053200921045,2.2898159867087378,3.2229990607062353,2.7280842905798925,3.2318439131537451,-1.2646129483422264,-1.4033933037957176,-0.47724065725412218,0.92000427301321186,3.077028000907041,1.6591003781119362,2.000695312575437,-2.0032043809136377,0.43237840588483961,2.5682856684485449,-0.60239753667917095,-2.0061273926934229,0.086906844929792004,-1.5733874196251854,-1.7488398904046043,-2.2866111153801905,-2.2330105656823145,3.6391958838263525,-2.0540738457879053,-1.4164207333764061,-0.025705700560472888,-1.9356620663842186,0.99586179311666645,1.7376130467215554,-2.3733580464562403,-2.0383117551049219,1.4584244137564675,0.66361799295339741,-2.2756264561852442,1.240804219798185,-2.1218195313652979,-0.42767701093759386,-1.2472914809426292,-1.4674115533074363,2.4409746771613134,-2.2123680466851221,-1.3827655667504295,1.845051730231382,-2.5346234196862207,-1.4120872372826561,-1.3125818127831443,-0.012733524485491199,0.95320072229299702,0.21816810424719008,1.9236166125098244,0.075430149392224866,-2.3801901692589746,-1.9588947648247703,-0.29265860263910143,1.6331224089423195,1.1292436962882058,0.88943287189397968,-2.2359147423943506,1.5138283615866677,1.9692984467307106,0.72607460077200092,0.69116958434972919,1.4489907866278664,-0.63467577640619122,1.1443618779936806,-1.4216475838860496,0.54873485322389759,-0.38111028616037218,1.5091299658576027,0.79618325288686909,0.56344146485719837,0.7448875253954903,-4.1484949940880762,-2.3450262898644434,0.51448547299299396,1.9984683638373391,3.2512380724707617,1.1803533678809182,0.071157509640790539,2.7110910063544287,0.73239692504797138,0.9550708180228249,0.3882182344729081,1.0160740857878701,-3.5063732022484766,-2.0848410481652246,3.2758783942023291,2.0168980007926001,1.0070734267989174,0.077136183337308484,3.4548844939032568,0.11523925717268141,1.8868381624976174,-1.9708857888421043,3.0285789614478125,2.9304322844306006,2.6455645209113134],\"text\":[\"Cell:CAGCCGAAGCGATATA
Exp:0
split.by:All_cells\",\"Cell:AGTGTCATCGCCGTGA
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGTTGTAGA
Exp:0
split.by:All_cells\",\"Cell:CACAGTACATCCGTGG
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTCATTGGGCC
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTGTGTGACCC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:ACCGTAACAAGGTTCT
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGGTGGGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGGTCCCTTGT
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTGTCTTCTCG
Exp:0
split.by:All_cells\",\"Cell:CCGTGGACACGAAGCA
Exp:0
split.by:All_cells\",\"Cell:GAACATCAGCAATATG
Exp:0
split.by:All_cells\",\"Cell:TTCTACACAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:ACGGCCACACGTGAGA
Exp:0.876
split.by:All_cells\",\"Cell:CTCGTACAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CGTCTACAGATGCGAC
Exp:0
split.by:All_cells\",\"Cell:CTCACACGTCACACGC
Exp:0
split.by:All_cells\",\"Cell:AAAGCAACACGGTAAG
Exp:0
split.by:All_cells\",\"Cell:CATCGGGCACGTTGGC
Exp:5.63
split.by:All_cells\",\"Cell:ATCATCTGTGTTTGTG
Exp:0
split.by:All_cells\",\"Cell:CAAGGCCCAAGAAAGG
Exp:0
split.by:All_cells\",\"Cell:AGATCTGGTTCGGCAC
Exp:3.432
split.by:All_cells\",\"Cell:CTCTGGTCAAGACACG
Exp:0
split.by:All_cells\",\"Cell:TACAGTGTCCCTAACC
Exp:0
split.by:All_cells\",\"Cell:GGACAGATCAGCATGT
Exp:0
split.by:All_cells\",\"Cell:CACTCCACATATGGTC
Exp:0
split.by:All_cells\",\"Cell:GTTCATTGTTCCAACA
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCCAATAGCAA
Exp:1.213
split.by:All_cells\",\"Cell:TACTCGCTCTTCGGTC
Exp:6.886
split.by:All_cells\",\"Cell:GCTGCTTTCCTCGCAT
Exp:1.352
split.by:All_cells\",\"Cell:GCTGGGTGTCTAGAGG
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:CGAGCACTCTAACTCT
Exp:0
split.by:All_cells\",\"Cell:GATCGTAAGTGCAAGC
Exp:4.718
split.by:All_cells\",\"Cell:TGTCCCAGTCTCGTTC
Exp:0
split.by:All_cells\",\"Cell:CTTGGCTCAGCCACCA
Exp:0
split.by:All_cells\",\"Cell:GGGTCTGGTAAACCTC
Exp:0
split.by:All_cells\",\"Cell:CGGACTGTCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:GGTGCGTTCTGGTATG
Exp:0
split.by:All_cells\",\"Cell:TACCTTATCCGATATG
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCTCTATCGCC
Exp:0
split.by:All_cells\",\"Cell:GTACGTACATCGATGT
Exp:0
split.by:All_cells\",\"Cell:TCGTAGATCTTTACGT
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGAGAGTGAGA
Exp:1.418
split.by:All_cells\",\"Cell:AGCGTATTCTGCTGTC
Exp:0
split.by:All_cells\",\"Cell:GGACAAGTCATAACCG
Exp:0
split.by:All_cells\",\"Cell:ACATCAGTCCTTGGTC
Exp:0
split.by:All_cells\",\"Cell:CCAGCGACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:GGACAGAAGTGGAGAA
Exp:1.208
split.by:All_cells\",\"Cell:GACTACAAGCGTGTCC
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTAGAGCTG
Exp:0.89
split.by:All_cells\",\"Cell:GTTCTCGCAAGTCTAC
Exp:0
split.by:All_cells\",\"Cell:CGAATGTTCTTCATGT
Exp:0
split.by:All_cells\",\"Cell:CCGTGGACATTCCTGC
Exp:0
split.by:All_cells\",\"Cell:CTAATGGAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:AGCGGTCGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:GTATTCTTCACTTACT
Exp:0
split.by:All_cells\",\"Cell:CAGTCCTAGGTGGGTT
Exp:1.702
split.by:All_cells\",\"Cell:CGACTTCCACAACGTT
Exp:0
split.by:All_cells\",\"Cell:AAACGGGTCCGCGCAA
Exp:0
split.by:All_cells\",\"Cell:CTAGTGACATTGAGCT
Exp:0
split.by:All_cells\",\"Cell:CTCCTAGAGAGTGACC
Exp:0
split.by:All_cells\",\"Cell:GCAGTTATCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:CGAACATCAAGCGAGT
Exp:0.808
split.by:All_cells\",\"Cell:GGGAGATAGCGAAGGG
Exp:1.123
split.by:All_cells\",\"Cell:CATCGGGAGGCCCTTG
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGCTGCAAG
Exp:0
split.by:All_cells\",\"Cell:CAGAATCCACGCATCG
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CGGACACTCTATCCTA
Exp:2.947
split.by:All_cells\",\"Cell:CGTGTAATCATTATCC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAAGTTAAGATG
Exp:0
split.by:All_cells\",\"Cell:ATTTCTGTCCCTGACT
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CAGATCACAACCGCCA
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGCATTCCTCG
Exp:0
split.by:All_cells\",\"Cell:CCACGGACAGATGAGC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAAGAAGATTC
Exp:0
split.by:All_cells\",\"Cell:CATGACACAAAGTCAA
Exp:1.077
split.by:All_cells\",\"Cell:AACGTTGTCAGTTAGC
Exp:0
split.by:All_cells\",\"Cell:CTGGTCTAGGTGATTA
Exp:3.747
split.by:All_cells\",\"Cell:TCAGGATTCCAGTAGT
Exp:4.697
split.by:All_cells\",\"Cell:CATTATCGTCATATCG
Exp:0
split.by:All_cells\",\"Cell:GCGCAACAGTGTACCT
Exp:0
split.by:All_cells\",\"Cell:GTGCATACAATAGCAA
Exp:0
split.by:All_cells\",\"Cell:TTTACTGGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:GTAGTCAGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:CCTACACGTTCTCATT
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCTCAACACGT
Exp:0
split.by:All_cells\",\"Cell:CTAACTTGTAGGAGTC
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:GTAGGCCGTTACCAGT
Exp:0
split.by:All_cells\",\"Cell:TCTCATATCAGAGCTT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTGTCATACTG
Exp:0
split.by:All_cells\",\"Cell:GGGAATGTCGACCAGC
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCAGGGTTTCT
Exp:0
split.by:All_cells\",\"Cell:CGGACTGAGGTAGCTG
Exp:0
split.by:All_cells\",\"Cell:CAACCTCTCTCTGTCG
Exp:1.013
split.by:All_cells\",\"Cell:CTGAAACGTTCCCTTG
Exp:6.41
split.by:All_cells\",\"Cell:GTAGTCAGTACTCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCACCTATCC
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTACCGTTA
Exp:0
split.by:All_cells\",\"Cell:TTCTACAAGATCGATA
Exp:0
split.by:All_cells\",\"Cell:TCACAAGCACCGAAAG
Exp:0
split.by:All_cells\",\"Cell:TCGGGACGTCATCGGC
Exp:0.871
split.by:All_cells\",\"Cell:ACGCCAGAGGAACTGC
Exp:0
split.by:All_cells\",\"Cell:CATATGGCATGTTGAC
Exp:0.615
split.by:All_cells\",\"Cell:ATCATCTTCTGTCAAG
Exp:0
split.by:All_cells\",\"Cell:CCGTTCACAGTAGAGC
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTGTGGTCCGT
Exp:0.63
split.by:All_cells\",\"Cell:TTTGTCAGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:ATTATCCAGACCCACC
Exp:0
split.by:All_cells\",\"Cell:CACCACTCAATCTACG
Exp:0
split.by:All_cells\",\"Cell:GCGCGATGTCCGAATT
Exp:0
split.by:All_cells\",\"Cell:CATTATCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGCTAAGAT
Exp:0
split.by:All_cells\",\"Cell:GCGCGATTCGCGTAGC
Exp:0
split.by:All_cells\",\"Cell:CTACATTCACCGTTGG
Exp:0
split.by:All_cells\",\"Cell:TCATTTGCATTGGCGC
Exp:1.581
split.by:All_cells\",\"Cell:AGCAGCCCAGGAATGC
Exp:0
split.by:All_cells\",\"Cell:GGGATGAGTCTGCGGT
Exp:0
split.by:All_cells\",\"Cell:TGCGCAGTCTGCCAGG
Exp:0
split.by:All_cells\",\"Cell:AGCGTATTCTCGTATT
Exp:0.954
split.by:All_cells\",\"Cell:GTCTCGTAGATCTGCT
Exp:0
split.by:All_cells\",\"Cell:CAGAATCGTGTAAGTA
Exp:0
split.by:All_cells\",\"Cell:TGACTTTAGGTCATCT
Exp:1.041
split.by:All_cells\",\"Cell:GTGCATATCAGAGACG
Exp:1.487
split.by:All_cells\",\"Cell:TGGCCAGCACGAAAGC
Exp:0.84
split.by:All_cells\",\"Cell:TGGCGCACAATGTTGC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACGTCTGATCA
Exp:0
split.by:All_cells\",\"Cell:CAGCGACAGATCACGG
Exp:1.002
split.by:All_cells\",\"Cell:AAAGATGAGTGAACAT
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTGTCAGAGGT
Exp:5.384
split.by:All_cells\",\"Cell:ATTTCTGAGAAGATTC
Exp:0.949
split.by:All_cells\",\"Cell:CTCTAATTCACCATAG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTTCTTGTCAT
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGCTAGTCT
Exp:0.712
split.by:All_cells\",\"Cell:CCTAAAGTCATGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCACAGCTGTCTA
Exp:0
split.by:All_cells\",\"Cell:GAAATGACACATGACT
Exp:0
split.by:All_cells\",\"Cell:ACTGAGTAGGCTAGGT
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGAGCTGCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCACAGATCGGA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTTCTGGTGTA
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTCATACTCTT
Exp:0
split.by:All_cells\",\"Cell:ACTATCTGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCGATAGAA
Exp:0
split.by:All_cells\",\"Cell:GTTCTCGCAGCTGGCT
Exp:0
split.by:All_cells\",\"Cell:CATATGGAGGCCCGTT
Exp:0
split.by:All_cells\",\"Cell:ACTGAACAGCCTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGGTGCCT
Exp:0
split.by:All_cells\",\"Cell:CCCTCCTAGACCCACC
Exp:0
split.by:All_cells\",\"Cell:TTAACTCGTCCGAACC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCCATAAAGGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCAAACCAC
Exp:0
split.by:All_cells\",\"Cell:GTTCTCGGTTTGTGTG
Exp:0
split.by:All_cells\",\"Cell:ACATCAGTCCGTTGTC
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCCTTTCTC
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGCCAACAG
Exp:0.985
split.by:All_cells\",\"Cell:AAGACCTAGTAGGCCA
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCACGAGGTA
Exp:0
split.by:All_cells\",\"Cell:GGACAGAAGGCCGAAT
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCCACGTAAGG
Exp:0
split.by:All_cells\",\"Cell:TCCACACCAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:CACACCTGTCGCTTTC
Exp:0
split.by:All_cells\",\"Cell:GGCTCGAGTCGCTTCT
Exp:0
split.by:All_cells\",\"Cell:TGGCTGGCAGTGAGTG
Exp:6.628
split.by:All_cells\",\"Cell:GATGAAACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:TTCTTAGTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TCCCGATGTAAGTGTA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCTGCTGTC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGTGGTAGC
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTAAGAGAG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAGTTCGCTAA
Exp:0
split.by:All_cells\",\"Cell:CCATTCGGTGCTAGCC
Exp:0
split.by:All_cells\",\"Cell:CCACTACTCTTTAGTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTGAAATCA
Exp:0
split.by:All_cells\",\"Cell:ACCGTAATCTATCCCG
Exp:0
split.by:All_cells\",\"Cell:ACTTACTCAATACGCT
Exp:0
split.by:All_cells\",\"Cell:GAACGGATCACAACGT
Exp:0
split.by:All_cells\",\"Cell:CGGTTAAGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:CAAGAAACACTAGTAC
Exp:1.394
split.by:All_cells\",\"Cell:AGTTGGTGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:CGTCCATGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:CAGCTAACAACACGCC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACCATACGCTA
Exp:0
split.by:All_cells\",\"Cell:CTCGTACCAGCCAGAA
Exp:0
split.by:All_cells\",\"Cell:ATTATCCGTATAAACG
Exp:0
split.by:All_cells\",\"Cell:GTACTTTTCAGTTCGA
Exp:6.092
split.by:All_cells\",\"Cell:AGTAGTCCACATGACT
Exp:0
split.by:All_cells\",\"Cell:AGTGAGGTCTGTTGAG
Exp:0
split.by:All_cells\",\"Cell:TCTCATAAGCAGATCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGATCAGGATCT
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCCAAGTCATC
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTACTTCTT
Exp:0
split.by:All_cells\",\"Cell:GTCCTCAAGTTCGATC
Exp:0
split.by:All_cells\",\"Cell:GCCAAATGTAAACACA
Exp:0
split.by:All_cells\",\"Cell:ACTTACTGTTTGGGCC
Exp:0
split.by:All_cells\",\"Cell:ACTTACTCACCGTTGG
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGAGGACCACA
Exp:4.921
split.by:All_cells\",\"Cell:AAGACCTGTGGCTCCA
Exp:7.216
split.by:All_cells\",\"Cell:AACTTTCCACAGTCGC
Exp:0.914
split.by:All_cells\",\"Cell:CAGATCATCTCGATGA
Exp:0.588
split.by:All_cells\",\"Cell:TGTTCCGGTCAGCTAT
Exp:0.897
split.by:All_cells\",\"Cell:GCGCCAAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTTCGCACTCT
Exp:0
split.by:All_cells\",\"Cell:GTAACTGTCAGTGCAT
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:CGCCAAGTCTAAGCCA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCATGTAGC
Exp:0.807
split.by:All_cells\",\"Cell:ATGCGATGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGACAGACC
Exp:0.799
split.by:All_cells\",\"Cell:GTCAAGTAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACAGTCACTA
Exp:0
split.by:All_cells\",\"Cell:TATCTCACATTGTGCA
Exp:0
split.by:All_cells\",\"Cell:CGTAGCGAGACTGTAA
Exp:0
split.by:All_cells\",\"Cell:ACGATGTGTCGCGGTT
Exp:0
split.by:All_cells\",\"Cell:CTCTGGTTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTAGTAAGTAC
Exp:1.404
split.by:All_cells\",\"Cell:CAGAATCCACAAGCCC
Exp:0
split.by:All_cells\",\"Cell:GTAACTGGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AACTTTCGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCAATCCGAT
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCAGTGTCCCG
Exp:0
split.by:All_cells\",\"Cell:TATTACCGTTGAGTTC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCATCAGAGCTT
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCGCCTGAG
Exp:0
split.by:All_cells\",\"Cell:TCGTACCCATATACGC
Exp:0.969
split.by:All_cells\",\"Cell:TGGTTCCGTTGATTCG
Exp:0.55
split.by:All_cells\",\"Cell:AGAGCTTCATTCGACA
Exp:7.327
split.by:All_cells\",\"Cell:GGTGTTACATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CCTCTGACATCGGTTA
Exp:0
split.by:All_cells\",\"Cell:CTCTACGCACTAAGTC
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGGTGAAGGCT
Exp:1.213
split.by:All_cells\",\"Cell:ACGTCAACAGACAAAT
Exp:0.771
split.by:All_cells\",\"Cell:TCGAGGCAGTTAACGA
Exp:0.791
split.by:All_cells\",\"Cell:CAAGTTGTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTACTTGAC
Exp:0.946
split.by:All_cells\",\"Cell:AGAGCTTTCTTGAGGT
Exp:0
split.by:All_cells\",\"Cell:GCACATAAGCAATATG
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGTGACATA
Exp:1.032
split.by:All_cells\",\"Cell:TGTGGTACAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TAAGAGACAGTAGAGC
Exp:0
split.by:All_cells\",\"Cell:CACATTTTCGAGGTAG
Exp:0
split.by:All_cells\",\"Cell:AGACGTTCAATGGTCT
Exp:1.021
split.by:All_cells\",\"Cell:GGAACTTGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGATCTAGCACA
Exp:0
split.by:All_cells\",\"Cell:CGTAGCGTCACTATTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCACTGTGTA
Exp:0
split.by:All_cells\",\"Cell:TGCGCAGTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCGGAATCT
Exp:1.046
split.by:All_cells\",\"Cell:ACTGATGGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CAGTAACAGCCACCTG
Exp:0
split.by:All_cells\",\"Cell:ACTGATGAGTGCAAGC
Exp:0
split.by:All_cells\",\"Cell:CTGCTGTGTTGTGGCC
Exp:0
split.by:All_cells\",\"Cell:GAGTCCGCAATTGCTG
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTAGCGTAATA
Exp:0
split.by:All_cells\",\"Cell:GTCATTTGTCTCAACA
Exp:0
split.by:All_cells\",\"Cell:GACTAACCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:GGTGAAGAGCAGGTCA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGTCTGATACG
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTCACCGAATT
Exp:1.009
split.by:All_cells\",\"Cell:CAGGTGCAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAAGCTACCTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCGTGCAGACA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGAGTTTGCGT
Exp:0
split.by:All_cells\",\"Cell:TCTATTGCAGTAAGCG
Exp:0
split.by:All_cells\",\"Cell:TTGGCAATCGGATGGA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGAGTCATCCA
Exp:0
split.by:All_cells\",\"Cell:CACCACTTCAGCTTAG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAGTATCGCAT
Exp:0
split.by:All_cells\",\"Cell:ACGGGCTAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAGTGTATGGG
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTCAGAAGC
Exp:3.032
split.by:All_cells\",\"Cell:GATCGATAGAAAGTGG
Exp:1.214
split.by:All_cells\",\"Cell:TGCGGGTTCCAGGGCT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGTCCTACAGA
Exp:0
split.by:All_cells\",\"Cell:AGGGATGTCGCATGGC
Exp:0
split.by:All_cells\",\"Cell:TGCCCTACAATCACAC
Exp:0
split.by:All_cells\",\"Cell:CCCATACTCGTGGACC
Exp:0
split.by:All_cells\",\"Cell:GACTAACCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:TCACAAGAGCCACTAT
Exp:1.004
split.by:All_cells\",\"Cell:GGCAATTTCACATGCA
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCAGGAATGGA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:GCATGTAAGAATCTCC
Exp:0
split.by:All_cells\",\"Cell:GTTACAGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:GTTCGGGAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGTCTGGAGCC
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCGTTTAGG
Exp:0
split.by:All_cells\",\"Cell:GCATGCGCAAATTGCC
Exp:0
split.by:All_cells\",\"Cell:TCAACGACACCATCCT
Exp:0.432
split.by:All_cells\",\"Cell:CCTCTGATCATGTCTT
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCTTCTGGC
Exp:0.935
split.by:All_cells\",\"Cell:CTCAGAATCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:CGTCCATCATGGTAGG
Exp:0
split.by:All_cells\",\"Cell:TTAGTTCCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCAACACGT
Exp:0
split.by:All_cells\",\"Cell:CAGCAGCAGAGGTACC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGGTTCTCATT
Exp:0
split.by:All_cells\",\"Cell:CTAGCCTGTGCGATAG
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGGTCTCCACT
Exp:0
split.by:All_cells\",\"Cell:GCATGATCATGCATGT
Exp:0
split.by:All_cells\",\"Cell:TACGGTATCCCATTTA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGAAGCTAGGCA
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTCGAGTTT
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTACGAAAT
Exp:0
split.by:All_cells\",\"Cell:GTATTCTTCAGGTAAA
Exp:0
split.by:All_cells\",\"Cell:TACCTATGTAACGTTC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGCAACGATGG
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTTCAGCACAT
Exp:0
split.by:All_cells\",\"Cell:TGCCAAACATGACATC
Exp:0
split.by:All_cells\",\"Cell:CTAAGACGTACTCTCC
Exp:0.84
split.by:All_cells\",\"Cell:CGATGGCTCAGTGTTG
Exp:0
split.by:All_cells\",\"Cell:CCAGCGACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:TGAGAGGAGCCAGGAT
Exp:6.437
split.by:All_cells\",\"Cell:AGAGCGACACAACTGT
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTTCCTTTCGG
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGTCCGGTC
Exp:1.029
split.by:All_cells\",\"Cell:GGGATGATCTGTCCGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACATCCTAGA
Exp:0.845
split.by:All_cells\",\"Cell:GCACATATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:CATCCACCAGATGGGT
Exp:0
split.by:All_cells\",\"Cell:TGCCCTATCATAAAGG
Exp:1.015
split.by:All_cells\",\"Cell:ACTGTCCAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCACTTCC
Exp:0
split.by:All_cells\",\"Cell:GACAGAGCAGTCAGAG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTTCAGTCCCT
Exp:1.127
split.by:All_cells\",\"Cell:AATCGGTGTCACACGC
Exp:0
split.by:All_cells\",\"Cell:TACGGATAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGCAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:CCACGGAGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTATTG
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCACCAGGCT
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:CACCAGGGTACCTACA
Exp:0
split.by:All_cells\",\"Cell:GGCCGATTCAGAGACG
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCTAAGCCA
Exp:0
split.by:All_cells\",\"Cell:GACTGCGGTCGCCATG
Exp:0
split.by:All_cells\",\"Cell:GAATGAACAGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:CGCTGGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTAATGGCATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGATCAATCTCT
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTTCGTACGGC
Exp:0
split.by:All_cells\",\"Cell:TTCCCAGAGGATTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTCATCTCCCA
Exp:1.023
split.by:All_cells\",\"Cell:GTGCGGTAGTGAATTG
Exp:0
split.by:All_cells\",\"Cell:TACCTATGTCCAACTA
Exp:1.117
split.by:All_cells\",\"Cell:TACTTGTAGACAAAGG
Exp:0
split.by:All_cells\",\"Cell:GTCCTCACACCACGTG
Exp:0
split.by:All_cells\",\"Cell:TAAACCGCATTCCTCG
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:TCAGCTCAGGCTATCT
Exp:4.589
split.by:All_cells\",\"Cell:CACAGTAGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGCACACATGT
Exp:0
split.by:All_cells\",\"Cell:ACGGCCACACGCTTTC
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCATTCCTGC
Exp:0.916
split.by:All_cells\",\"Cell:CTCAGAATCAGGTTCA
Exp:0.96
split.by:All_cells\",\"Cell:TGAGGGACAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:TACGGTATCTTTCCTC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGAGCGTTGCC
Exp:1.006
split.by:All_cells\",\"Cell:CAGCGACCACAGGAGT
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGCTTGC
Exp:0
split.by:All_cells\",\"Cell:GTCACGGCATACTACG
Exp:1.042
split.by:All_cells\",\"Cell:AAGGCAGTCCGAGCCA
Exp:0
split.by:All_cells\",\"Cell:GGACAGATCCTGCAGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTCCATCCT
Exp:0
split.by:All_cells\",\"Cell:AACTTTCCACTGCCAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTCATGCCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGAGTGCACCAC
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTGACTCAT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTGCGGCA
Exp:0
split.by:All_cells\",\"Cell:GGCGACTCACCAGGTC
Exp:1.152
split.by:All_cells\",\"Cell:GGGACCTAGCTGCCCA
Exp:0.946
split.by:All_cells\",\"Cell:AATCGGTCAAACAACA
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTACATCCA
Exp:0
split.by:All_cells\",\"Cell:CATGGCGAGAGTCTGG
Exp:0.925
split.by:All_cells\",\"Cell:CGTGTAATCGTTGACA
Exp:0
split.by:All_cells\",\"Cell:CGATCGGAGCTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGCACCTAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:GAACGGACAAGGTGTG
Exp:2.012
split.by:All_cells\",\"Cell:TTGTAGGGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGGGTGAAGGTGCAAC
Exp:0
split.by:All_cells\",\"Cell:CTACACCCAGGGCATA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCGTTATCCGA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCTCTTGCATT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTCCAGG
Exp:5.419
split.by:All_cells\",\"Cell:AAGTCTGGTCTCCATC
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTGTGTAAGTA
Exp:0
split.by:All_cells\",\"Cell:CGCTATCAGGTGATAT
Exp:0
split.by:All_cells\",\"Cell:AACTCTTAGCTAACAA
Exp:3.24
split.by:All_cells\",\"Cell:GTGTGCGGTAGTACCT
Exp:0
split.by:All_cells\",\"Cell:GGGTCTGCAGCAGTTT
Exp:7.232
split.by:All_cells\",\"Cell:CGTAGGCCAACACCCG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACTCTACCTGC
Exp:0
split.by:All_cells\",\"Cell:CATCGAAAGATGTTAG
Exp:0
split.by:All_cells\",\"Cell:GCAATCACAGCTGCTG
Exp:0
split.by:All_cells\",\"Cell:AACACGTAGTAATCCC
Exp:3.323
split.by:All_cells\",\"Cell:GATCTAGCATCACCCT
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTTCGG
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAGTTAGAACA
Exp:0
split.by:All_cells\",\"Cell:GAGCAGAAGCCAGTTT
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGGTAAGTAGT
Exp:2.854
split.by:All_cells\",\"Cell:GGACAGAGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGGATATAC
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTATAATGG
Exp:0.872
split.by:All_cells\",\"Cell:CTTCTCTCATGCGCAC
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:GTACTCCGTAGCGATG
Exp:0
split.by:All_cells\",\"Cell:CTGTGCTCAGCTCCGA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCAAGAAGT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACACGGTAAG
Exp:0
split.by:All_cells\",\"Cell:CAACCAAAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAAGTGGTAAT
Exp:0
split.by:All_cells\",\"Cell:CGAATGTAGTTCCACA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGACAATCGGTT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCCAGTATG
Exp:1.169
split.by:All_cells\",\"Cell:TTCTTAGTCGGCGCTA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCTGACCTC
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTCCACTC
Exp:0.599
split.by:All_cells\",\"Cell:TAAACCGAGGATGGAA
Exp:0
split.by:All_cells\",\"Cell:CTTACCGCAAAGTCAA
Exp:0.601
split.by:All_cells\",\"Cell:CGGTTAATCGTCTGAA
Exp:0
split.by:All_cells\",\"Cell:CTCGTCATCGGTCTAA
Exp:0.913
split.by:All_cells\",\"Cell:GTTAAGCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAATCTGCA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGCGTCTAT
Exp:0.92
split.by:All_cells\",\"Cell:TGGACGCGTATTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCACGGAAGATCCTGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTTTAGGG
Exp:0
split.by:All_cells\",\"Cell:CAGTAACCATGCCTAA
Exp:0
split.by:All_cells\",\"Cell:AGTAGTCAGCGTTCCG
Exp:0.991
split.by:All_cells\",\"Cell:ACGAGCCCACCTTGTC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTGTATATCCG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACGCGTAGACGCACA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTGTGATAAGT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCACAAGCCC
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCGGCACA
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGTCTTTACGT
Exp:0
split.by:All_cells\",\"Cell:CATCAGATCATCGCTC
Exp:0
split.by:All_cells\",\"Cell:CTTGGCTCATCCCACT
Exp:2.167
split.by:All_cells\",\"Cell:AGCATACGTCGCGAAA
Exp:7.686
split.by:All_cells\",\"Cell:CTTAACTGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:GTTTCTATCAACGGCC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAGTGACAAAT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCGTTATGTGC
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTAGGTGCTAG
Exp:1.656
split.by:All_cells\",\"Cell:GAATGAACAATCGAAA
Exp:0.772
split.by:All_cells\",\"Cell:CCTACACAGATCCGAG
Exp:0
split.by:All_cells\",\"Cell:GATGCTACAAGCGCTC
Exp:0
split.by:All_cells\",\"Cell:GTTACAGTCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGACCTTTG
Exp:0
split.by:All_cells\",\"Cell:GACTACACATATGAGA
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAAGTGGTCCC
Exp:0
split.by:All_cells\",\"Cell:CGTTAGATCAGTCAGT
Exp:0
split.by:All_cells\",\"Cell:GTGCTTCTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:GATGAGGAGAAACCTA
Exp:0
split.by:All_cells\",\"Cell:GAAATGATCTTCAACT
Exp:0
split.by:All_cells\",\"Cell:GCTCCTAGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCATGCAAC
Exp:0
split.by:All_cells\",\"Cell:CGACCTTCACACAGAG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTACGCACC
Exp:1.289
split.by:All_cells\",\"Cell:GCACTCTTCCGGCACA
Exp:0
split.by:All_cells\",\"Cell:GTACTCCTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:CACATAGTCATTGCGA
Exp:0.786
split.by:All_cells\",\"Cell:CTGAAACGTATGGTTC
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCAGTCTCAAC
Exp:0
split.by:All_cells\",\"Cell:CCTTTCTTCTTCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACGTAGCGCAA
Exp:0
split.by:All_cells\",\"Cell:TTGGAACGTCCGTTAA
Exp:0
split.by:All_cells\",\"Cell:CATTATCAGCTCCCAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGTCCATAACCTG
Exp:3.085
split.by:All_cells\",\"Cell:GTGCAGCTCGTTTATC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACCTCAGCGTGAAC
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACCGTTA
Exp:3.313
split.by:All_cells\",\"Cell:CGATTGAAGTTAGCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:GGACGTCCAGTATCTG
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGTCGGAT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGGTCATCT
Exp:0
split.by:All_cells\",\"Cell:CAAGGCCTCGTACCGG
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:GCAAACTTCGGAATCT
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCACGGTGTC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTTGGACCC
Exp:4.949
split.by:All_cells\",\"Cell:CTCGAGGTCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCATCGGAT
Exp:0
split.by:All_cells\",\"Cell:TGGTTAGCAGTCGTGC
Exp:1.205
split.by:All_cells\",\"Cell:CTCTAATAGTTATCGC
Exp:0
split.by:All_cells\",\"Cell:AACTCTTAGCTGCGAA
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCACGAAGG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTGTAGTGAAT
Exp:0
split.by:All_cells\",\"Cell:GGGTTGCTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:ATCCGAACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:TTCTCAATCACTCCTG
Exp:1.152
split.by:All_cells\",\"Cell:ACTGATGTCCCTAACC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTGTCTAAACC
Exp:1.364
split.by:All_cells\",\"Cell:TCGCGAGTCGACGGAA
Exp:0
split.by:All_cells\",\"Cell:AAATGCCAGACTAAGT
Exp:0.615
split.by:All_cells\",\"Cell:TACGGGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCATTTGCCC
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGTCGCCGTGA
Exp:1.045
split.by:All_cells\",\"Cell:CACATAGAGGGAAACA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGCATCGTCGG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGCAGTACACT
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCTCAACCATG
Exp:0
split.by:All_cells\",\"Cell:GTGTTAGAGTTTCCTT
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTAGTACTTGC
Exp:0
split.by:All_cells\",\"Cell:CACATTTGTATAGTAG
Exp:0
split.by:All_cells\",\"Cell:GTGCATAAGAATGTTG
Exp:0
split.by:All_cells\",\"Cell:GGACATTAGAAACCAT
Exp:0.754
split.by:All_cells\",\"Cell:TCTCTAAGTGGCAAAC
Exp:0
split.by:All_cells\",\"Cell:ACGATACTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGCACGAAATA
Exp:0
split.by:All_cells\",\"Cell:CATGACACATCCGCGA
Exp:1.373
split.by:All_cells\",\"Cell:ACGGGTCAGGGTGTTG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTTCGGCGCAT
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCGTGCGATAG
Exp:0
split.by:All_cells\",\"Cell:CGTTGGGGTTTAAGCC
Exp:0
split.by:All_cells\",\"Cell:AACTCAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTAGATCGATA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGTCACAATGC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:ATGCGATAGAAACGAG
Exp:0
split.by:All_cells\",\"Cell:TATGCCCTCTTCCTTC
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCGGAAACG
Exp:0
split.by:All_cells\",\"Cell:CGATGGCCAACTGGCC
Exp:1.586
split.by:All_cells\",\"Cell:CAGCCGAGTAGCCTAT
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTGGTGTAG
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCTCAAACG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCCAAGTAC
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCAGCAACGGT
Exp:0
split.by:All_cells\",\"Cell:CCTACACCATTATCTC
Exp:0.975
split.by:All_cells\",\"Cell:CTGAAACTCTGTTTGT
Exp:0
split.by:All_cells\",\"Cell:CCATGTCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CAGCCGAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGACGGCGTCAGGACA
Exp:1.083
split.by:All_cells\",\"Cell:ACTGATGCACATGACT
Exp:0
split.by:All_cells\",\"Cell:ATCATCTGTAGGACAC
Exp:2.988
split.by:All_cells\",\"Cell:ATCTGCCGTCATATGC
Exp:0
split.by:All_cells\",\"Cell:TACACGAAGATCCCAT
Exp:0
split.by:All_cells\",\"Cell:CATCCACGTTACGACT
Exp:0.789
split.by:All_cells\",\"Cell:AGATCTGCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCAATCCAAC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTCAATGAAAC
Exp:1.016
split.by:All_cells\",\"Cell:GTGCTTCTCACGACTA
Exp:0
split.by:All_cells\",\"Cell:GATCGTACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGAACAACT
Exp:0
split.by:All_cells\",\"Cell:CTACACCCATCAGTCA
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCATCAGTTCGA
Exp:0
split.by:All_cells\",\"Cell:ATAGACCAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACACGCAGTATGACA
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCCATGATCCA
Exp:0
split.by:All_cells\",\"Cell:CGTCTACTCAGTCCCT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTCACTACAGT
Exp:0
split.by:All_cells\",\"Cell:GATCAGTTCCCGGATG
Exp:0
split.by:All_cells\",\"Cell:GATCTAGGTGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGGTCAGATAA
Exp:0.751
split.by:All_cells\",\"Cell:CTCGTACGTTGGTTTG
Exp:0
split.by:All_cells\",\"Cell:TTGGCAATCGAACGGA
Exp:0.652
split.by:All_cells\",\"Cell:CATCGAAGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTCAACTGT
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTCAAAGTGCG
Exp:0
split.by:All_cells\",\"Cell:GAAGCAGGTCTAGAGG
Exp:5.828
split.by:All_cells\",\"Cell:CCCAGTTGTGCGCTTG
Exp:0
split.by:All_cells\",\"Cell:ATTCTACGTTTAGGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAATGCACATTTCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCCTGCTTG
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGAGCCCAA
Exp:0
split.by:All_cells\",\"Cell:GTGCAGCGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACGTTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTTCATTCACT
Exp:0
split.by:All_cells\",\"Cell:GATGCTATCCCTCTTT
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCACGCCAGT
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTTCTGATTCT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTCACGAGGTA
Exp:0
split.by:All_cells\",\"Cell:TCTATTGGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:TCACGAACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:CGAACATTCACAAACC
Exp:0.49
split.by:All_cells\",\"Cell:TCTATTGTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGACACTAA
Exp:2.984
split.by:All_cells\",\"Cell:GCGAGAAGTGGGTATG
Exp:1.181
split.by:All_cells\",\"Cell:TTCTCAAAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGTCTGTTGAG
Exp:0
split.by:All_cells\",\"Cell:ACATACGAGCTATGCT
Exp:0
split.by:All_cells\",\"Cell:ACGATACAGTCATCCA
Exp:6.233
split.by:All_cells\",\"Cell:ACGCAGCGTTCATGGT
Exp:7.114
split.by:All_cells\",\"Cell:TTAACTCCACGAGAGT
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGAGGCACATG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATTCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAATCGCAAACT
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGCATACTCTT
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATATGGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGCGTGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCCGCGCAA
Exp:0
split.by:All_cells\",\"Cell:CCTTCCCCAAAGTGCG
Exp:0
split.by:All_cells\",\"Cell:GTAACTGAGCCGGTAA
Exp:0.875
split.by:All_cells\",\"Cell:AGCATACCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:CATCAAGGTGGTCTCG
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTGTCTCGTTC
Exp:0
split.by:All_cells\",\"Cell:CTGATAGAGCTCAACT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCTCGTCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCTCCAACC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAACATGGTCTA
Exp:0
split.by:All_cells\",\"Cell:GTTCATTAGGGTCTCC
Exp:0
split.by:All_cells\",\"Cell:GCGACCATCACCAGGC
Exp:0
split.by:All_cells\",\"Cell:GTACTTTCATGGTCAT
Exp:0
split.by:All_cells\",\"Cell:TCAGCAAAGCGATGAC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAGACCATCTTATCTG
Exp:0
split.by:All_cells\",\"Cell:AGACGTTAGCCGATTT
Exp:0
split.by:All_cells\",\"Cell:GAACCTACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:CCAATCCAGAGTAAGG
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTACAGTTC
Exp:0
split.by:All_cells\",\"Cell:CAGGTGCGTACAAGTA
Exp:0
split.by:All_cells\",\"Cell:GCTCCTATCTCACATT
Exp:0
split.by:All_cells\",\"Cell:TATCAGGCACCAGTTA
Exp:0
split.by:All_cells\",\"Cell:TGCTACCCATAAGACA
Exp:1.186
split.by:All_cells\",\"Cell:GATTCAGAGTACGTTC
Exp:0
split.by:All_cells\",\"Cell:CGGACTGCATCCCATC
Exp:0
split.by:All_cells\",\"Cell:GCGCCAACACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:AGGTCATTCTGCGTAA
Exp:0
split.by:All_cells\",\"Cell:CTACCCAGTCAAACTC
Exp:0
split.by:All_cells\",\"Cell:TGGCCAGAGCTACCTA
Exp:0.59
split.by:All_cells\",\"Cell:TGTCCCACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGAGGAATTAC
Exp:3.35
split.by:All_cells\",\"Cell:TACAGTGAGCGTTTAC
Exp:3.851
split.by:All_cells\",\"Cell:CGATTGAAGTCTTGCA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCGTCACAAGG
Exp:0
split.by:All_cells\",\"Cell:GTCTCGTCACGTGAGA
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTCAGCATACT
Exp:0
split.by:All_cells\",\"Cell:GCTTGAACATTTGCTT
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTTCGCTTAGA
Exp:0.701
split.by:All_cells\",\"Cell:GATCAGTAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:GTACTTTAGATATGCA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGTCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:TCAGATGGTAGATTAG
Exp:0
split.by:All_cells\",\"Cell:TGTCCCAAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCTCAGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CTAAGACTCACTCCTG
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCTTAGAGC
Exp:0.807
split.by:All_cells\",\"Cell:CACACCTCATTGTGCA
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTAGCGTAG
Exp:1.009
split.by:All_cells\",\"Cell:ACTGAACAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGATGGGTC
Exp:2.366
split.by:All_cells\",\"Cell:GGAAAGCGTACGCACC
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CCCTCCTGTCTAACGT
Exp:0.984
split.by:All_cells\",\"Cell:TTAGGCAGTGTGAATA
Exp:0
split.by:All_cells\",\"Cell:TCGGTAACAGGGTACA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTCACCGAATT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTAGGAGTC
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGACGCTTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCTTCAAG
Exp:0
split.by:All_cells\",\"Cell:ATAAGAGTCCACGTTC
Exp:0
split.by:All_cells\",\"Cell:GATCGTAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTAAACT
Exp:0
split.by:All_cells\",\"Cell:CACCACTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCCACTCTGTC
Exp:0
split.by:All_cells\",\"Cell:GCATGTATCACGATGT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGATGGGTC
Exp:0
split.by:All_cells\",\"Cell:CGCGTTTGTATTACCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCAGGTGTTAA
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCAGAGGTG
Exp:0
split.by:All_cells\",\"Cell:TTCGAAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGGTGATGCCC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGTCCAGAGGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGACAGTAAGAT
Exp:0
split.by:All_cells\",\"Cell:CATCGAAGTAGCGTCC
Exp:0
split.by:All_cells\",\"Cell:TGGACGCTCTTGTTTG
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGGTCACCTAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAAACGCGA
Exp:2.831
split.by:All_cells\",\"Cell:CGTCACTGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:GCGACCACACGTTGGC
Exp:0
split.by:All_cells\",\"Cell:CCATGTCGTTTGCATG
Exp:0
split.by:All_cells\",\"Cell:TGCCAAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGGTAGCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGAGAACAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACTAGAGCTTCGCG
Exp:0
split.by:All_cells\",\"Cell:CGGACTGCAGCCAATT
Exp:1.714
split.by:All_cells\",\"Cell:GACCAATAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:GGACGTCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:AGGTCCGAGTTACCCA
Exp:0.999
split.by:All_cells\",\"Cell:GGAAAGCGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:CCGGGATGTACCGCTG
Exp:0.641
split.by:All_cells\",\"Cell:CATCCACAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:CGCTATCCAGGCAGTA
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACACTGTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTTCTCGTATT
Exp:0
split.by:All_cells\",\"Cell:CGGACGTAGACAGACC
Exp:0
split.by:All_cells\",\"Cell:AGTTGGTTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTCCAGTAT
Exp:1.515
split.by:All_cells\",\"Cell:TATGCCCAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATGACATC
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGCACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:ACCCACTTCTGAGGGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCTCGTTGCCT
Exp:0.932
split.by:All_cells\",\"Cell:ACGATGTTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TGACAACTCGCACTCT
Exp:0
split.by:All_cells\",\"Cell:GACGCGTCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CATATGGTCAACACAC
Exp:0
split.by:All_cells\",\"Cell:AGTGGGAGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ATTGGTGTCCAGTATG
Exp:0.784
split.by:All_cells\",\"Cell:GATGCTAAGCGATAGC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:TTCTCAACAGTTTACG
Exp:0
split.by:All_cells\",\"Cell:TCACAAGAGCATGGCA
Exp:0.99
split.by:All_cells\",\"Cell:GGAATAACACGACGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAGATGTTAAAGAC
Exp:5.46
split.by:All_cells\",\"Cell:AACTTTCGTGACCAAG
Exp:0.904
split.by:All_cells\",\"Cell:CGAGAAGCACTTACGA
Exp:0
split.by:All_cells\",\"Cell:AACTCCCAGTACGACG
Exp:0
split.by:All_cells\",\"Cell:CGTTAGAAGTATCTCG
Exp:0
split.by:All_cells\",\"Cell:CCTATTACAAACGTGG
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTAGATCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCATTCGCAAGCCATT
Exp:0
split.by:All_cells\",\"Cell:GTATCTTGTACTCAAC
Exp:0
split.by:All_cells\",\"Cell:TGCTACCCAGGGCATA
Exp:0
split.by:All_cells\",\"Cell:GGAACTTAGGTTACCT
Exp:1.035
split.by:All_cells\",\"Cell:AGATTGCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACGTTCAGTAC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCATCACATAGC
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGAGGAATGGA
Exp:0
split.by:All_cells\",\"Cell:ATTATCCCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCAACTGCGC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCAAAGAATC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTAGTCTCGGC
Exp:0
split.by:All_cells\",\"Cell:TCTGGAAGTCATCGGC
Exp:0
split.by:All_cells\",\"Cell:AAATGCCCACCAACCG
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCGCTTGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGTTACACCTCGGA
Exp:6.15
split.by:All_cells\",\"Cell:CTCGAGGCAAGTCTGT
Exp:0
split.by:All_cells\",\"Cell:CGGACTGTCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTCAAATTGCC
Exp:0
split.by:All_cells\",\"Cell:ATTGGTGGTACTTGAC
Exp:0.906
split.by:All_cells\",\"Cell:GCCTCTAAGAGTTGGC
Exp:0.949
split.by:All_cells\",\"Cell:CGGCTAGGTAACGACG
Exp:0
split.by:All_cells\",\"Cell:AAAGATGAGTCATGCT
Exp:0.938
split.by:All_cells\",\"Cell:GTACTCCCACGTCTCT
Exp:0
split.by:All_cells\",\"Cell:TTGAACGAGGAATCGC
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCGATAGAA
Exp:0
split.by:All_cells\",\"Cell:CTCTAATTCAGCGACC
Exp:0
split.by:All_cells\",\"Cell:TATGCCCAGAACAATC
Exp:1.023
split.by:All_cells\",\"Cell:AACCATGGTTGAACTC
Exp:0
split.by:All_cells\",\"Cell:CAGCATAGTAATAGCA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTTCCTCAATT
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCTGGCGAC
Exp:1.168
split.by:All_cells\",\"Cell:ATCACGATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:GAGCAGAGTTTGCATG
Exp:0.722
split.by:All_cells\",\"Cell:TGCACCTAGATAGTCA
Exp:1.147
split.by:All_cells\",\"Cell:CAGCCGAAGTGACTCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCTGGTATG
Exp:0.654
split.by:All_cells\",\"Cell:AGCTCCTAGTACACCT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGCGATGAC
Exp:0.562
split.by:All_cells\",\"Cell:TCCACACTCACGATGT
Exp:0
split.by:All_cells\",\"Cell:TCAGATGCACGACGAA
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCAACACTG
Exp:0
split.by:All_cells\",\"Cell:CTTAGGACATCTATGG
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAAGTAGATGT
Exp:1.399
split.by:All_cells\",\"Cell:ATCTACTGTGAACCTT
Exp:0
split.by:All_cells\",\"Cell:CGATGTAGTGGTACAG
Exp:0
split.by:All_cells\",\"Cell:CTAGCCTGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTGAGTGT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTGACAT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCTCCATGAGT
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAGTACCGAGA
Exp:0.993
split.by:All_cells\",\"Cell:ACTGAGTGTTTCGCTC
Exp:1.02
split.by:All_cells\",\"Cell:AGAGCGATCTCTTGAT
Exp:0
split.by:All_cells\",\"Cell:GAAGCAGTCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:GTCGTAAAGGTGATTA
Exp:0
split.by:All_cells\",\"Cell:CACACTCAGGCGCTCT
Exp:0.998
split.by:All_cells\",\"Cell:TGGGAAGGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CGCGGTACATTAGGCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAAAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTGTTCGTCTC
Exp:0
split.by:All_cells\",\"Cell:CTGGTCTTCGTTACAG
Exp:0
split.by:All_cells\",\"Cell:TCTCTAAAGCTGGAAC
Exp:1.688
split.by:All_cells\",\"Cell:CGGTTAAAGTAGCGGT
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CCTTACGCAAGGTGTG
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCACGAAGCA
Exp:6.434
split.by:All_cells\",\"Cell:CAACCTCGTCTAAACC
Exp:0
split.by:All_cells\",\"Cell:AGCGGTCGTACCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTCGTCATCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:GGCCGATGTCAAACTC
Exp:0.859
split.by:All_cells\",\"Cell:TTCTACAGTGTTGAGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGAGCGCCTTG
Exp:0
split.by:All_cells\",\"Cell:GATCGATCAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TTGGCAACATCATCCC
Exp:6.189
split.by:All_cells\",\"Cell:TTTATGCTCCATTCTA
Exp:1.042
split.by:All_cells\",\"Cell:AACTTTCAGGCATTGG
Exp:0.98
split.by:All_cells\",\"Cell:GCCTCTAGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCAGATGGCGT
Exp:0
split.by:All_cells\",\"Cell:TACGGTAGTGTGCCTG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCAGATATGCA
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTTCGTGGGAA
Exp:1.244
split.by:All_cells\",\"Cell:AAGCCGCAGGAGTTGC
Exp:0
split.by:All_cells\",\"Cell:CTGAAACAGGAGTAGA
Exp:1.064
split.by:All_cells\",\"Cell:CATGGCGAGCCCTAAT
Exp:0.973
split.by:All_cells\",\"Cell:ACATGGTCAAGGACTG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCTCTAGC
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCAAAGAATC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTAGCCACCTG
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCACAGGCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGTCATCGATG
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGGTGTGGT
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACACGGCCAT
Exp:0
split.by:All_cells\",\"Cell:CGTGTAATCCATGCTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGCATCAGTAC
Exp:0
split.by:All_cells\",\"Cell:GGGATGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTCGTACGTTCCGTCT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGACATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ATCTGCCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGAGCAATT
Exp:0
split.by:All_cells\",\"Cell:CACACAACACACTGCG
Exp:0
split.by:All_cells\",\"Cell:TAGGCATTCGTTGCCT
Exp:0
split.by:All_cells\",\"Cell:TCTCTAATCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:ACACCCTGTCAGATAA
Exp:0
split.by:All_cells\",\"Cell:AGATCTGTCGATCCCT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTTCTCGCTTG
Exp:0
split.by:All_cells\",\"Cell:CTACGTCAGTCTCGGC
Exp:0
split.by:All_cells\",\"Cell:CATCCACTCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TCTCATACAGATCTGT
Exp:0
split.by:All_cells\",\"Cell:CACACCTCACTGCCAG
Exp:0
split.by:All_cells\",\"Cell:CTCGTACCAATGGATA
Exp:0
split.by:All_cells\",\"Cell:ACACCAAAGTAGGCCA
Exp:0
split.by:All_cells\",\"Cell:TACACGAGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGTATTGGA
Exp:0
split.by:All_cells\",\"Cell:AGACGTTTCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTGTGAATA
Exp:6.287
split.by:All_cells\",\"Cell:GCACTCTGTCTGCAAT
Exp:0
split.by:All_cells\",\"Cell:TGTGGTACAAGACGTG
Exp:0
split.by:All_cells\",\"Cell:AGGCCGTCACGACGAA
Exp:0
split.by:All_cells\",\"Cell:TATGCCCTCTTACCTA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTCACGGACAA
Exp:1.548
split.by:All_cells\",\"Cell:GTCGGGTGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCGTAGGTT
Exp:0
split.by:All_cells\",\"Cell:CGTCTACGTTTCCACC
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCAGACATAAC
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGAGTGGAGAA
Exp:0
split.by:All_cells\",\"Cell:CTGATAGTCGGCTACG
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACGTCCATCCT
Exp:0
split.by:All_cells\",\"Cell:CATGACAGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:GACCAATAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:CAGCGACCATATGGTC
Exp:1.128
split.by:All_cells\",\"Cell:TGCTGCTGTCCGTCAG
Exp:0
split.by:All_cells\",\"Cell:TCAGATGCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:TATCAGGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:GGGAATGGTCGGCTCA
Exp:0.847
split.by:All_cells\",\"Cell:TAGTTGGAGTCAAGCG
Exp:0.954
split.by:All_cells\",\"Cell:TACCTATTCGTTACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGAGGGAAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTTCCTTTCGG
Exp:0.593
split.by:All_cells\",\"Cell:TGATTTCAGTGGAGTC
Exp:0
split.by:All_cells\",\"Cell:CTAACTTAGATCACGG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAGTCCGAATT
Exp:1.335
split.by:All_cells\",\"Cell:GAAATGATCGTCCGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCCACTCCA
Exp:6.131
split.by:All_cells\",\"Cell:GTTCGGGAGGCAATTA
Exp:1.659
split.by:All_cells\",\"Cell:GCGCCAATCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:AGTGGGATCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:CGACTTCGTTGATTCG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTAACGACG
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCTCTTCCTTC
Exp:7.138
split.by:All_cells\",\"Cell:ACTGATGGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:AAGGAGCAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:TACTTACGTGTGGCTC
Exp:0
split.by:All_cells\",\"Cell:ATGCGATTCGCGTAGC
Exp:0
split.by:All_cells\",\"Cell:ATTGGACAGTCAAGGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGTCCGCTGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTAGACGCACA
Exp:0
split.by:All_cells\",\"Cell:ATGAGGGGTTCTGGTA
Exp:0
split.by:All_cells\",\"Cell:CGACCTTAGCTGCCCA
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTGCCTGCA
Exp:1.097
split.by:All_cells\",\"Cell:GCTCTGTAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:GTATTCTAGGTGCTTT
Exp:0
split.by:All_cells\",\"Cell:TCTGGAATCGGTGTCG
Exp:0
split.by:All_cells\",\"Cell:GACGTTAAGACGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCGTAGAGGACGG
Exp:0.672
split.by:All_cells\",\"Cell:ATGAGGGCAAGGTTTC
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTCAAAGCAAT
Exp:1.222
split.by:All_cells\",\"Cell:CATCGGGTCATTTGGG
Exp:2.378
split.by:All_cells\",\"Cell:ACATACGGTAAACACA
Exp:1.008
split.by:All_cells\",\"Cell:CTGCTGTGTTATCACG
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTAGTGCCATT
Exp:0
split.by:All_cells\",\"Cell:CCACGGAGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:CCATTCGCATGAAGTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCTGCTGCT
Exp:0.872
split.by:All_cells\",\"Cell:ACGATGTTCTGCTGCT
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTCACCATCCT
Exp:0
split.by:All_cells\",\"Cell:TAGTTGGGTACCGTAT
Exp:0
split.by:All_cells\",\"Cell:GCGCAACCAACACCTA
Exp:0
split.by:All_cells\",\"Cell:CCAGCGAGTACCGTAT
Exp:0.797
split.by:All_cells\",\"Cell:AGCGTATCATCTCCCA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCCTGTAGA
Exp:1.277
split.by:All_cells\",\"Cell:GGAAAGCTCTCGGACG
Exp:0
split.by:All_cells\",\"Cell:ACTGATGGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:GTAACGTCAGCCTATA
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCTAACTCT
Exp:0
split.by:All_cells\",\"Cell:GAAATGACATCTACGA
Exp:0.855
split.by:All_cells\",\"Cell:GTGTGCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TCTCATAGTTACCAGT
Exp:0
split.by:All_cells\",\"Cell:ACGTCAACACGGTGTC
Exp:1.356
split.by:All_cells\",\"Cell:ACTGATGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:TGTATTCCAATGACCT
Exp:0.598
split.by:All_cells\",\"Cell:AGGGAGTAGCTAGCCC
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGAGCTGGT
Exp:0
split.by:All_cells\",\"Cell:GGCAATTTCCGAATGT
Exp:0
split.by:All_cells\",\"Cell:GATCGTAGTCCTAGCG
Exp:0.701
split.by:All_cells\",\"Cell:TGAGCATCAAGCCGCT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACAGTGG
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTAGCAGGCTA
Exp:0
split.by:All_cells\",\"Cell:CCACTACGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:GGAAAGCAGGCATGGT
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTAAAGTCA
Exp:0
split.by:All_cells\",\"Cell:TAAACCGAGTCGTACT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGTCATCGCTC
Exp:0
split.by:All_cells\",\"Cell:CACCACTCACGAAATA
Exp:0
split.by:All_cells\",\"Cell:CGTAGGCTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:TCGCGTTTCTCTGCTG
Exp:0
split.by:All_cells\",\"Cell:GGACAAGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGCCCAGCT
Exp:0
split.by:All_cells\",\"Cell:TCACGAATCCTATGTT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTGGCTCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:ATAACGCAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:ATTCTACTCAGGTAAA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCCAAGCGTAG
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGGCGTG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAAGTCCGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGAATGAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CACAGGCTCAAGATCC
Exp:1.194
split.by:All_cells\",\"Cell:ACGAGCCAGTTCGCAT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTTCGCCATAA
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGAGTACCG
Exp:0
split.by:All_cells\",\"Cell:AGCCTAAAGCCCAACC
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:AGTGGGACAGTATCTG
Exp:0
split.by:All_cells\",\"Cell:CAACCAATCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:TGTCCCATCTTGACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCCATCAGTCGTGC
Exp:0
split.by:All_cells\",\"Cell:GTTTCTAGTCCTCTTG
Exp:0
split.by:All_cells\",\"Cell:GCACATACATTACGAC
Exp:0
split.by:All_cells\",\"Cell:ATGGGAGTCGGTTCGG
Exp:0
split.by:All_cells\",\"Cell:ATAAGAGTCCGAACGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCGAAGCTTCGCG
Exp:0
split.by:All_cells\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.87627452505493453,0,0,0,0,5.6298344785551917,0,0,3.4318927716865226,0,0,0,0,0,1.2133996752021774,6.8863884030564817,1.3522593762829056,0,0,0,4.7180091753826536,0,0,0,0,0,0,0,0,0,1.4175396885494673,0,0,0,0,1.2080246642368548,0,0.89008556501282066,0,0,0,0,0,0,1.7017070563516157,0,0,0,0,0,0.80830034771650705,1.1225042100928397,0,0,0,0,2.9465555933751828,0,0,0,0,0,0,0,0,1.0773404439212901,0,3.7465893999204338,4.6973766816695575,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.0128594247284151,6.4100702978542996,0,0,0,0,0,0.87139399335249101,0,0.61462791779182424,0,0,0.63022879389110731,0,0,0,0,0,0,0,0,1.5809383714395906,0,0,0,0.95374266355120374,0,0,1.0406888009504409,1.4867512592977243,0.84019947302087228,0,0,1.0022611579964082,0,5.3838662644037614,0.94896309719237015,0,0,0.71159438044482071,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.98543581922139767,0,0,0,0,0,0,0,0,0,6.6284993164500721,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.3939554986947349,0,0,0,0,0,0,0,6.0918725538269625,0,0,0,0,0,0,0,0,0,0,0,4.9206717423143003,7.2157755020672649,0.91428543362499481,0.5877155626392595,0.89742473889890884,0,0,0,0,0,0,0.80699214243868445,0,0.79923561626434947,0,0,0,0,0,0,1.4042984633847209,0,0,0,0,0,0,0,0,0.96931028411198716,0.54993354012258144,7.3272800641773079,0,0,0,1.2128182558075358,0.77071234804779842,0.79104077540998308,0,0,0.94567677673161155,0,0,1.032469395575333,0,0,0,1.021196356378167,0,0,0,0,0,0,0,1.0459286400024403,0,0,0,0,0,0,0,0,0,0,0,0,1.0091889777894387,0,0,0,0,0,0,0,0,0,0,0,3.0322973465941638,1.213649046084377,0,0,0,0,0,0,1.004449284717891,0,0,0,0,0,0,0,0,0,0,0,0.43167864954755164,0,0.93502183238512626,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.84034919194483326,0,0,6.4365381824725763,0,0,0,1.0292210133614934,0,0.84547345851286804,0,0,1.0153225148239047,0,0,0,1.127279729788248,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.0226763629472266,0,1.1173577438413458,0,0,0,0,4.5890672000776895,0,0,0,0.91590090923851564,0.96016336428788329,0,0,1.006427463443158,0,0,1.0421121707289513,0,0,0,0,0,0,0,0,1.1519957492279849,0.94567677673161155,0,0,0.92498815173192594,0,0,0,0,2.0116023783171677,0,0,0,0,0,5.4193729651171694,0,0,0,3.239848146014245,0,7.2316723806817214,0,0,0,0,3.3230885795743523,0,0,0,0,2.8539712990737973,0,0,0.87220339987194351,0,0,0,0,0,0,0,0,0,0,0,1.168999547848254,0,0,0.5993587058508304,0,0.60091734922642137,0,0.91321182887844676,0,0,0.91978492182607452,0,0,0,0,0.99147336914563378,0,0,0,0,0,0,0,0,0,0,2.1665334151719362,7.6856115775337406,0,0,0,0,1.6558038329920262,0.77215033120619725,0,0,0,0,0,0,0,0,0,0,0,0,0,1.2887148540684685,0,0,0.78593496187979373,0,0,0,0,0,0,3.0851433727617685,0,0,0,3.3129269921354418,0,0,0,0,0,0,0,0,0,4.9490396223967199,0,0,1.2053980215623117,0,0,0,0,0,0,1.1515517866236538,0,1.3636296676280373,0,0.61497895397427071,0,0,1.0454499165973181,0,0,0,0,0,0,0,0,0,0.75358655593192048,0,0,0,1.3733478759233073,0,0,0,0,0,0,0,0,0,0,0,1.5856553295390896,0,0,0,0,0,0.97451917011161227,0,0,0,1.0832516085436159,0,2.9878043908630678,0,0,0.78933110441286702,0,0,0,1.0155470764830179,0,0,0,0,0,0,0,0,0,0,0,0,0,0.75103591274236681,0,0.65177749580418498,0,0,0,5.8282565385163707,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.48970311399278116,0,2.9835851249142049,1.1807533782365882,0,0,0,6.2328736171499184,7.1138729807242758,0,0,0,0,0,0,0,0,0,0,0,0.87537541459707802,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.1857815173595507,0,0,0,0,0,0.59028644300949717,0,3.3495515898265613,3.8508929841636514,0,0,0,0,0,0,0.70073255194920192,0,0,0,0,0,0,0,0.80726718314111323,0,1.0087460326577822,0,2.3655768817662874,0,0,0.98365048305765057,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.8309573859626229,0,0,0,0,0,0,0,0,1.7138173987519436,0,0,0.99921505419020895,0,0.64113472037368935,0,0,0,0,0,0,1.5146846114272625,0,0,0,0,0.93221137493966544,0,0,0,0,0,0.7841836641684663,0,0,0,0.99019567208348713,0,5.4601001157450622,0.90384397182861509,0,0,0,0,0,0,0,0,1.0353886390763518,0,0,0,0,0,0,0,0,0,0,0,6.1503206526909384,0,0,0,0,0,0.90612271031731961,0.94886609062671501,0,0.93822906076465018,0,0,0,0,1.0232468372056946,0,0,0,1.1678537109942153,0,0.72150604512001415,1.1468396634338254,0,0.65398554985623958,0,0.56204801505165158,0,0,0,0,0,1.3989899366586993,0,0,0,0,0,0,0.99296852700923943,1.0196076935926301,0,0,0,0.99824019858334512,0,0,0,0,0,1.6880958603864995,0,0,0,6.4342841844280407,0,0,0,0,0.85881378322758406,0,0,0,6.189418374764041,1.0415185850879953,0.98010067069653617,0,0,0,0,1.2435541480171437,0,1.0642326957735531,0.97298089185342818,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6.2870875675840789,0,0,0,0,0,1.547767221842776,0,0,0,0,0,0,0,0,0,0,0,0,1.1279857976487269,0,0,0,0.84714550845394376,0.95423328540303509,0,0,0,0.59309780923218569,0,0,1.3348831839077311,0,6.1307731990250875,1.6588962618979448,0,0,0,0,0,7.1378837650236795,0,0,0,0,0,0,0,0,0,0,1.0968819541488015,0,0,0,0,0.67217738144145867,0,1.2215212745673165,2.3784869580120596,1.0075301025879813,0,0,0,0,0.8715557469389994,0,0,0,0,0.79728743981254224,0,0,0,1.276660057955822,0,0,0,0,0,0.85475728169107568,0,0,1.3556689090117737,0,0.59813988594398526,0,0,0,0.70134685195065383,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.1938945904110732,0,0,0,0,0,0,0,0,0,0,0,0,0,0],\"colorbar\":{\"title\":{\"text\":\"Ghrl\",\"font\":{\"color\":\"black\",\"size\":14}},\"len\":0.5},\"size\":1.5,\"showscale\":true,\"line\":{\"color\":\"rgba(31,119,180,1)\"}},\"name\":\"All_cells\",\"showlegend\":true,\"visible\":true,\"error_y\":{\"color\":\"rgba(31,119,180,1)\"},\"error_x\":{\"color\":\"rgba(31,119,180,1)\"},\"line\":{\"color\":\"rgba(31,119,180,1)\"},\"frame\":null}],\"highlight\":{\"on\":\"plotly_click\",\"persistent\":false,\"dynamic\":false,\"selectize\":false,\"opacityDim\":0.20000000000000001,\"selected\":{\"opacity\":1},\"debounce\":0},\"shinyEvents\":[\"plotly_hover\",\"plotly_click\",\"plotly_selected\",\"plotly_relayout\",\"plotly_brushed\",\"plotly_brushing\",\"plotly_clickannotation\",\"plotly_doubleclick\",\"plotly_deselect\",\"plotly_afterplot\",\"plotly_sunburstclick\"],\"base_url\":\"https://plot.ly\"},\"evals\":[],\"jsHooks\":[]}"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureHeatmap.html","id":null,"dir":"Reference","previous_headings":"","what":"FeatureHeatmap — FeatureHeatmap","title":"FeatureHeatmap — FeatureHeatmap","text":"FeatureHeatmap","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureHeatmap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"FeatureHeatmap — FeatureHeatmap","text":"","code":"FeatureHeatmap(   srt,   features = NULL,   cells = NULL,   group.by = NULL,   split.by = NULL,   within_groups = FALSE,   max_cells = 100,   cell_order = NULL,   border = TRUE,   flip = FALSE,   slot = \"counts\",   assay = NULL,   exp_method = c(\"zscore\", \"raw\", \"fc\", \"log2fc\", \"log1p\"),   legend_title = NULL,   limits = NULL,   lib_normalize = identical(slot, \"counts\"),   libsize = NULL,   feature_split = NULL,   feature_split_by = NULL,   n_split = NULL,   split_order = NULL,   split_method = c(\"kmeans\", \"hclust\", \"mfuzz\"),   decreasing = FALSE,   fuzzification = NULL,   show_fuzzification = FALSE,   cluster_features_by = NULL,   cluster_rows = FALSE,   cluster_columns = FALSE,   cluster_row_slices = FALSE,   cluster_column_slices = FALSE,   show_row_names = FALSE,   show_column_names = FALSE,   row_names_side = ifelse(flip, \"left\", \"right\"),   column_names_side = ifelse(flip, \"bottom\", \"top\"),   row_names_rot = 0,   column_names_rot = 90,   row_title = NULL,   column_title = NULL,   row_title_side = \"left\",   column_title_side = \"top\",   row_title_rot = 0,   column_title_rot = ifelse(flip, 90, 0),   anno_terms = FALSE,   anno_keys = FALSE,   anno_features = FALSE,   terms_width = unit(4, \"in\"),   terms_fontsize = 8,   keys_width = unit(2, \"in\"),   keys_fontsize = c(6, 10),   features_width = unit(2, \"in\"),   features_fontsize = c(6, 10),   IDtype = \"symbol\",   species = \"Homo_sapiens\",   db_update = FALSE,   db_version = \"latest\",   db_combine = FALSE,   convert_species = FALSE,   Ensembl_version = 103,   mirror = NULL,   db = \"GO_BP\",   TERM2GENE = NULL,   TERM2NAME = NULL,   minGSSize = 10,   maxGSSize = 500,   GO_simplify = FALSE,   GO_simplify_cutoff = \"p.adjust < 0.05\",   simplify_method = \"Wang\",   simplify_similarityCutoff = 0.7,   pvalueCutoff = NULL,   padjustCutoff = 0.05,   topTerm = 5,   show_termid = FALSE,   topWord = 20,   min_word_length = 3,   exclude_words = c(\"cell\", \"cellular\", \"dna\", \"rna\", \"protein\", \"development\",     \"involved\", \"organization\", \"system\", \"regulation\", \"positive\", \"negative\",     \"response\", \"process\"),   nlabel = 20,   features_label = NULL,   label_size = 10,   label_color = \"black\",   heatmap_palette = \"RdBu\",   heatmap_palcolor = NULL,   group_palette = \"Paired\",   group_palcolor = NULL,   cell_split_palette = \"simspec\",   cell_split_palcolor = NULL,   feature_split_palette = \"simspec\",   feature_split_palcolor = NULL,   cell_annotation = NULL,   cell_annotation_palette = \"Paired\",   cell_annotation_palcolor = NULL,   cell_annotation_params = list(),   feature_annotation = NULL,   feature_annotation_palette = \"Dark2\",   feature_annotation_palcolor = NULL,   feature_annotation_params = list(),   use_raster = NULL,   raster_device = \"png\",   raster_by_magick = FALSE,   height = NULL,   width = NULL,   units = \"inch\",   seed = 11,   ht_params = list() )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureHeatmap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"FeatureHeatmap — FeatureHeatmap","text":"db_combine","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureHeatmap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"FeatureHeatmap — FeatureHeatmap","text":"","code":"library(dplyr) data(\"pancreas_sub\") pancreas_sub <- RunDEtest(pancreas_sub, group_by = \"CellType\") #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. #> [2023-09-01 05:16:59.546936] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 5 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 05:17:02.721008] DEtest done #> Elapsed time:3.17 secs de_filter <- filter(pancreas_sub@tools$DEtest_CellType$AllMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1) ht1 <- FeatureHeatmap(   srt = pancreas_sub, features = de_filter$gene, group.by = \"CellType\",   split.by = \"Phase\", cell_split_palette = \"Dark2\", ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht1$plot  panel_fix(ht1$plot, height = 4, width = 6, raster = TRUE, dpi = 50)   ht2 <- FeatureHeatmap(   srt = pancreas_sub, features = de_filter$gene, group.by = c(\"CellType\", \"SubCellType\"), n_split = 4,   cluster_rows = TRUE, cluster_row_slices = TRUE, cluster_columns = TRUE, cluster_column_slices = TRUE,   ht_params = list(row_gap = grid::unit(0, \"mm\")) ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> The size of the heatmap will be fixed as some elements are not scalable. ht2$plot   ht3 <- FeatureHeatmap(   srt = pancreas_sub, features = de_filter$gene, feature_split = de_filter$group1, group.by = \"CellType\",   species = \"Mus_musculus\", db = \"GO_BP\", anno_terms = TRUE, anno_keys = TRUE, anno_features = TRUE ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> [2023-09-01 05:17:21.129519] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-01 05:12:05.52538 #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 05:17:57.440967] Enrichment done #> Elapsed time:36.31 secs #> The size of the heatmap will be fixed as some elements are not scalable. ht3$plot   pancreas_sub <- AnnotateFeatures(pancreas_sub, species = \"Mus_musculus\", db = c(\"TF\", \"CSPA\")) #> Species: Mus_musculus #> Loading cached db: TF version:AnimalTFDB4 nterm:2 created:2023-09-01 05:02:35.648729 #> Loading cached db: CSPA version:CSPA nterm:1 created:2023-09-01 05:02:38.740619 ht4 <- FeatureHeatmap(   srt = pancreas_sub, features = de_filter$gene, n_split = 4, group.by = \"CellType\",   heatmap_palette = \"viridis\",   feature_annotation = c(\"TF\", \"CSPA\"),   feature_annotation_palcolor = list(c(\"gold\", \"steelblue\"), c(\"forestgreen\")),   cell_annotation = c(\"Phase\", \"G2M_score\"), cell_annotation_palette = c(\"Dark2\", \"Purples\") ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> The size of the heatmap will be fixed as some elements are not scalable. ht4$plot   ht5 <- FeatureHeatmap(   srt = pancreas_sub, features = de_filter$gene, n_split = 4, group.by = \"CellType\",   heatmap_palette = \"viridis\",   feature_annotation = c(\"TF\", \"CSPA\"),   feature_annotation_palcolor = list(c(\"gold\", \"steelblue\"), c(\"forestgreen\")),   cell_annotation = c(\"Phase\", \"G2M_score\"), cell_annotation_palette = c(\"Dark2\", \"Purples\"),   flip = TRUE, column_title_rot = 45 ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> The size of the heatmap will be fixed as some elements are not scalable. ht5$plot   pancreas_sub <- RunPAGA(   srt = pancreas_sub, assay_X = \"RNA\", group_by = \"SubCellType\",   linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\", infer_pseudotime = TRUE, root_group = \"Ductal\" ) #> 'misc' slot is not converted. #> 'tools' slot is not converted. ht6 <- FeatureHeatmap(   srt = pancreas_sub, features = de_filter$gene, nlabel = 10,   cell_order = names(sort(pancreas_sub$dpt_pseudotime)),   cell_annotation = c(\"CellType\", \"dpt_pseudotime\"),   cell_annotation_palette = c(\"Paired\", \"cividis\") ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht6$plot"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureStatPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"Statistical plot of features — FeatureStatPlot","title":"Statistical plot of features — FeatureStatPlot","text":"Statistical plot features","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureStatPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Statistical plot of features — FeatureStatPlot","text":"","code":"FeatureStatPlot(   srt,   stat.by,   group.by = NULL,   split.by = NULL,   bg.by = NULL,   fill.by = c(\"group\", \"feature\", \"expression\"),   cells = NULL,   slot = c(\"data\", \"counts\"),   assay = NULL,   keep_empty = FALSE,   individual = FALSE,   plot_type = c(\"violin\", \"box\", \"bar\", \"dot\", \"col\"),   palette = \"Paired\",   palcolor = NULL,   alpha = 1,   bg_palette = \"Paired\",   bg_palcolor = NULL,   bg_apha = 0.2,   add_box = FALSE,   box_color = \"black\",   box_width = 0.1,   box_ptsize = 2,   add_point = FALSE,   pt.color = \"grey30\",   pt.size = NULL,   pt.alpha = 1,   jitter.width = 0.5,   add_trend = FALSE,   trend_color = \"black\",   trend_linewidth = 1,   trend_ptsize = 2,   add_stat = c(\"none\", \"mean\", \"median\"),   stat_color = \"black\",   stat_size = 1,   cells.highlight = NULL,   cols.highlight = \"red\",   sizes.highlight = 1,   alpha.highlight = 1,   calculate_coexp = FALSE,   same.y.lims = FALSE,   y.min = NULL,   y.max = NULL,   y.trans = \"identity\",   y.nbreaks = 5,   sort = FALSE,   stack = FALSE,   flip = FALSE,   comparisons = NULL,   ref_group = NULL,   pairwise_method = \"wilcox.test\",   sig_label = c(\"p.signif\", \"p.format\"),   multiplegroup_comparisons = FALSE,   multiple_method = \"kruskal.test\",   aspect.ratio = NULL,   title = NULL,   subtitle = NULL,   xlab = NULL,   ylab = \"Expression level\",   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE,   force = FALSE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureStatPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Statistical plot of features — FeatureStatPlot","text":"seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureStatPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Statistical plot of features — FeatureStatPlot","text":"","code":"library(dplyr) data(\"pancreas_sub\") FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\")  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\") %>% panel_fix(height = 1, width = 2)  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\", plot_type = \"box\")  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\", plot_type = \"bar\") #> Warning: Computation failed in `stat_summary()` #> Caused by error in `fun.data()`: #> ! The package \"Hmisc\" is required. #> Warning: Computation failed in `stat_summary()` #> Caused by error in `fun.data()`: #> ! The package \"Hmisc\" is required. #> Warning: Computation failed in `stat_summary()` #> Caused by error in `fun.data()`: #> ! The package \"Hmisc\" is required. #> Warning: Computation failed in `stat_summary()` #> Caused by error in `fun.data()`: #> ! The package \"Hmisc\" is required.  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\", plot_type = \"dot\")  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\", plot_type = \"col\")  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\", add_box = TRUE)  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\", add_point = TRUE)  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\", add_trend = TRUE)  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\", split.by = \"Phase\")  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\", split.by = \"Phase\", add_box = TRUE, add_trend = TRUE)  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\", split.by = \"Phase\", comparisons = TRUE) #> Warning: Detected more than 2 groups. Use multiple_method for comparison #> Warning: Detected more than 2 groups. Use multiple_method for comparison  FeatureStatPlot(pancreas_sub, stat.by = c(\"Rbp4\", \"Pyy\"), group.by = \"SubCellType\", fill.by = \"expression\", palette = \"Blues\", same.y.lims = TRUE)  FeatureStatPlot(pancreas_sub, stat.by = c(\"Rbp4\", \"Pyy\"), group.by = \"SubCellType\", multiplegroup_comparisons = TRUE)  FeatureStatPlot(pancreas_sub, stat.by = c(\"Rbp4\", \"Pyy\"), group.by = \"SubCellType\", comparisons = list(c(\"Alpha\", \"Beta\"), c(\"Alpha\", \"Delta\")))  FeatureStatPlot(pancreas_sub, stat.by = c(\"Rbp4\", \"Pyy\"), group.by = \"SubCellType\", comparisons = list(c(\"Alpha\", \"Beta\"), c(\"Alpha\", \"Delta\")), sig_label = \"p.format\")  FeatureStatPlot(pancreas_sub, stat.by = c(\"Rbp4\", \"Pyy\"), group.by = \"SubCellType\", bg.by = \"CellType\", add_box = TRUE, stack = TRUE)  FeatureStatPlot(pancreas_sub,   stat.by = c(     \"Sox9\", \"Anxa2\", \"Bicc1\", # Ductal     \"Neurog3\", \"Hes6\", # EPs     \"Fev\", \"Neurod1\", # Pre-endocrine     \"Rbp4\", \"Pyy\", # Endocrine     \"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\" # Beta, Alpha, Delta, Epsilon   ),   legend.position = \"top\", legend.direction = \"horizontal\",   group.by = \"SubCellType\", bg.by = \"CellType\", stack = TRUE )  FeatureStatPlot(pancreas_sub,   stat.by = c(     \"Sox9\", \"Anxa2\", \"Bicc1\", # Ductal     \"Neurog3\", \"Hes6\", # EPs     \"Fev\", \"Neurod1\", # Pre-endocrine     \"Rbp4\", \"Pyy\", # Endocrine     \"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\" # Beta, Alpha, Delta, Epsilon   ),   fill.by = \"feature\", plot_type = \"box\",   group.by = \"SubCellType\", bg.by = \"CellType\", stack = TRUE, flip = TRUE ) %>% panel_fix_single(width = 8, height = 5) # Because the plot is made by combining, we want to adjust the overall height and width"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FetchH5.html","id":null,"dir":"Reference","previous_headings":"","what":"Fetch data from the hdf5 file — FetchH5","title":"Fetch data from the hdf5 file — FetchH5","text":"Fetch data hdf5 file","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FetchH5.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fetch data from the hdf5 file — FetchH5","text":"","code":"FetchH5(   DataFile,   MetaFile,   name = NULL,   features = NULL,   slot = NULL,   assay = NULL,   metanames = NULL,   reduction = NULL )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FetchH5.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fetch data from the hdf5 file — FetchH5","text":"reduction","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FetchH5.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Fetch data from the hdf5 file — FetchH5","text":"","code":"if (FALSE) { data(\"pancreas_sub\") pancreas_sub <- Standard_SCP(pancreas_sub) PrepareSCExplorer(pancreas_sub, base_dir = \"./SCExplorer\") srt <- FetchH5(DataFile = \"./SCExplorer/Data.hdf5\", MetaFile = \"./SCExplorer/Meta.hdf5\", features = c(\"Ins1\", \"Ghrl\"), metanames = c(\"SubCellType\", \"Phase\"), reduction = \"UMAP\") CellDimPlot(srt, group.by = c(\"SubCellType\", \"Phase\"), reduction = \"UMAP\") FeatureDimPlot(srt, features = c(\"Ins1\", \"Ghrl\"), reduction = \"UMAP\") }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GSEAPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"GSEA Plot — GSEAPlot","title":"GSEA Plot — GSEAPlot","text":"GSEA Plot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GSEAPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"GSEA Plot — GSEAPlot","text":"","code":"GSEAPlot(   srt,   db = \"GO_BP\",   group_by = NULL,   test.use = \"wilcox\",   res = NULL,   plot_type = c(\"line\", \"comparison\"),   palette = \"Spectral\",   palcolor = NULL,   group_use = NULL,   id_use = NULL,   pvalueCutoff = NULL,   padjustCutoff = 0.05,   topTerm = 6,   only_pos = FALSE,   compare_only_sig = FALSE,   subplots = 1:3,   rel_heights = c(1.5, 0.5, 1),   rel_width = 3,   linewidth = 1.5,   line_alpha = 1,   line_color = \"#6BB82D\",   n_coregene = 10,   sample_coregene = FALSE,   features_label = NULL,   label.fg = \"black\",   label.bg = \"white\",   label.bg.r = 0.1,   label.size = 4,   aspect.ratio = NULL,   base_size = 12,   character_width = 50,   lineheight = 0.7,   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GSEAPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"GSEA Plot — GSEAPlot","text":"seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GSEAPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"GSEA Plot — GSEAPlot","text":"","code":"library(dplyr) data(\"pancreas_sub\") pancreas_sub <- RunDEtest(pancreas_sub, group_by = \"CellType\", only.pos = FALSE, fc.threshold = 1) #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. #> [2023-09-01 05:20:11.379435] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 5 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 05:25:12.837516] DEtest done #> Elapsed time:5.02 mins pancreas_sub <- RunGSEA(pancreas_sub, group_by = \"CellType\", db = \"GO_BP\", species = \"Mus_musculus\") #> [2023-09-01 05:25:12.841963] Start GSEA #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-01 05:12:05.52538 #> Permform GSEA... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 05:30:38.518748] GSEA done #> Elapsed time:5.43 mins GSEAPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\")  GSEAPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\", id_use = \"GO:0006412\")  GSEAPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Endocrine\", id_use = c(\"GO:0046903\", \"GO:0015031\", \"GO:0007600\")) %>%   panel_fix_single(width = 5) # Because the plot is made by combining, we want to adjust the overall height and width  GSEAPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", topTerm = 3, plot_type = \"comparison\")  GSEAPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", topTerm = 3, plot_type = \"comparison\", compare_only_sig = TRUE)  GSEAPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", topTerm = 3, plot_type = \"comparison\", pvalueCutoff = 0.05, padjustCutoff = NULL, only_pos = TRUE, compare_only_sig = TRUE)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GeneConvert.html","id":null,"dir":"Reference","previous_headings":"","what":"Gene ID conversion function using biomart — GeneConvert","title":"Gene ID conversion function using biomart — GeneConvert","text":"function can convert different gene ID types within one species bewteen two species using biomart service.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GeneConvert.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Gene ID conversion function using biomart — GeneConvert","text":"","code":"GeneConvert(   geneID,   geneID_from_IDtype = \"symbol\",   geneID_to_IDtype = \"entrez_id\",   species_from = \"Homo_sapiens\",   species_to = NULL,   Ensembl_version = 103,   biomart = NULL,   mirror = NULL,   max_tries = 5 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GeneConvert.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Gene ID conversion function using biomart — GeneConvert","text":"geneID vector geneID character. geneID_from_IDtype ID type geneID. e.g. \"symbol\", \"ensembl_id\", \"entrez_id\" geneID_to_IDtype ID type convert . e.g. \"symbol\", \"ensembl_id\", \"entrez_id\" species_from Latin names animals input geneID. species_to Latin names animals output geneID. e.g. \"Homo_sapiens\",\"Mus_musculus\" Ensembl_version Ensembl database version. NULL, use current release version. biomart BioMart database name want connect . (\"ensembl\", \"protists_mart\", \"fungi_mart\", \"plants_mart\") mirror Specify Ensembl mirror connect . valid options 'www', 'uswest', 'useast', 'asia'. max_tries Number max_tries connect biomart service.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GeneConvert.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Gene ID conversion function using biomart — GeneConvert","text":"list.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GeneConvert.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Gene ID conversion function using biomart — GeneConvert","text":"","code":"res <- GeneConvert(   geneID = c(\"CDK1\", \"MKI67\", \"TOP2A\", \"AURKA\", \"CTCF\"),   geneID_from_IDtype = \"symbol\",   geneID_to_IDtype = \"entrez_id\",   species_from = \"Homo_sapiens\",   species_to = \"Mus_musculus\",   Ensembl_version = 103 ) #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset hsapiens ... #> Connecting to the dataset hsapiens_gene_ensembl ... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 5 genes mapped with ensembl_symbol #> ============================== #> 5 genes mapped #> 0 genes unmapped #> ============================== str(res) #> List of 7 #>  $ geneID_res     :'data.frame':\t5 obs. of  4 variables: #>   ..$ from_IDtype: chr [1:5] \"ensembl_symbol\" \"ensembl_symbol\" \"ensembl_symbol\" \"ensembl_symbol\" ... #>   ..$ from_geneID: chr [1:5] \"CTCF\" \"CDK1\" \"TOP2A\" \"AURKA\" ... #>   ..$ to_IDtype  : chr [1:5] \"entrez_id\" \"entrez_id\" \"entrez_id\" \"entrez_id\" ... #>   ..$ to_geneID  : int [1:5] 13018 12534 21973 20878 17345 #>  $ geneID_collapse:'data.frame':\t5 obs. of  2 variables: #>   ..$ from_geneID: chr [1:5] \"AURKA\" \"CDK1\" \"CTCF\" \"MKI67\" ... #>   ..$ entrez_id  :List of 5 #>   .. ..$ : int 20878 #>   .. ..$ : int 12534 #>   .. ..$ : int 13018 #>   .. ..$ : int 17345 #>   .. ..$ : int 21973 #>   .. ..- attr(*, \"class\")= chr \"AsIs\" #>  $ geneID_expand  :'data.frame':\t5 obs. of  2 variables: #>   ..$ from_geneID: chr [1:5] \"AURKA\" \"CDK1\" \"CTCF\" \"MKI67\" ... #>   ..$ entrez_id  : int [1:5] 20878 12534 13018 17345 21973 #>  $ Ensembl_version: chr \"103\" #>  $ Datasets       :'data.frame':\t202 obs. of  3 variables: #>   ..$ dataset    : 'AsIs' chr [1:202] \"abrachyrhynchus_gene_ensembl\" \"acalliptera_gene_ensembl\" \"acarolinensis_gene_ensembl\" \"acchrysaetos_gene_ensembl\" ... #>   ..$ description: 'AsIs' chr [1:202] \"Pink-footed goose genes (ASM259213v1)\" \"Eastern happy genes (fAstCal1.2)\" \"Anole lizard genes (AnoCar2.0)\" \"Golden eagle genes (bAquChr1.2)\" ... #>   ..$ version    : 'AsIs' chr [1:202] \"ASM259213v1\" \"fAstCal1.2\" \"AnoCar2.0\" \"bAquChr1.2\" ... #>  $ Attributes     :'data.frame':\t3183 obs. of  3 variables: #>   ..$ name       : chr [1:3183] \"ensembl_gene_id\" \"ensembl_gene_id_version\" \"ensembl_transcript_id\" \"ensembl_transcript_id_version\" ... #>   ..$ description: chr [1:3183] \"Gene stable ID\" \"Gene stable ID version\" \"Transcript stable ID\" \"Transcript stable ID version\" ... #>   ..$ page       : chr [1:3183] \"feature_page\" \"feature_page\" \"feature_page\" \"feature_page\" ... #>  $ geneID_unmapped: chr(0)   # Convert the human genes to mouse homologs and replace the raw counts in a Seurat object. data(\"pancreas_sub\") counts <- pancreas_sub@assays$RNA@counts res <- GeneConvert(   geneID = rownames(counts),   geneID_from_IDtype = \"symbol\",   geneID_to_IDtype = \"symbol\",   species_from = \"Mus_musculus\",   species_to = \"Homo_sapiens\",   Ensembl_version = 103 ) #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 15065 genes mapped with ensembl_symbol #> 11 genes mapped with entrez_symbol #> 35 genes mapped with uniprot_symbol #> ============================== #> 15111 genes mapped #> 847 genes unmapped #> ============================== homologs_counts <- counts[res$geneID_expand[, \"from_geneID\"], ] rownames(homologs_counts) <- res$geneID_expand[, \"symbol\"] homologs_counts <- aggregate(homologs_counts, by = list(row.names(homologs_counts)), FUN = sum) rownames(homologs_counts) <- homologs_counts[, 1] homologs_counts <- as(as.matrix(homologs_counts[, -1]), \"dgCMatrix\") homologs_counts #> 13620 x 1000 sparse Matrix of class \"dgCMatrix\" #>   [[ suppressing 52 column names ‘CAGCCGAAGCGATATA’, ‘AGTGTCATCGCCGTGA’, ‘GATGAAAAGTTGTAGA’ ... ]] #>   [[ suppressing 52 column names ‘CAGCCGAAGCGATATA’, ‘AGTGTCATCGCCGTGA’, ‘GATGAAAAGTTGTAGA’ ... ]] #>                                                                                                                                       #> A1CF             .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  . #> A3GALT2          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AAAS             2  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> AACS             .  1   .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  2  .  .  .  .  1  .  .  .  .  . #> AADAC            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AAGAB            .  .   .  .  .  .  .  2  .  2  .  .  1  .  .  .  1  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1 #> AAK1             .  .   .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  . #> AAMDC            .  .   .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  3  .  .  .  1  .  .  .  . #> AAMP             3  5   2  3  2  1  .  1  1  3  .  2  1  .  2  .  2  3  2  3  1  2  .  2  1  .  1  .  3  2  4  .  3  .  2  1  1  6  8 #> AAR2             .  .   1  .  1  .  .  .  .  .  1  .  .  .  .  1  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  . #> AARD             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  4  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  . #> AARS1            .  .   2  1  2  .  1  .  1  .  1  2  .  1  .  5  .  .  1  .  .  1  2  .  .  .  .  .  .  .  1  1  .  .  .  2  .  .  1 #> AARS2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AARSD1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AASDH            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AASDHPPT         .  .   1  3  .  .  .  .  .  1  1  .  .  .  1  1  1  .  .  1  .  1  1  1  1  .  1  .  .  1  1  1  1  .  .  .  1  .  . #> AASS             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AATF             .  2   1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AATK             .  .   .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABAT             1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> ABCA1            .  .   2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  1  .  .  .  .  .  .  .  .  .  .  .  2  1  .  .  .  . #> ABCA12           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCA2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> ABCA3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  . #> ABCA4            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCA5            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCA7            .  .   .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCA8            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCB1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCB10           .  .   .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  2 #> ABCB11           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> ABCB4            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCB6            .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  1  .  .  .  .  .  .  .  1  1  . #> ABCB7            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  1  . #> ABCB8            .  .   .  .  1  .  .  1  .  1  .  .  .  .  1  .  .  .  1  .  .  .  .  1  3  .  .  .  .  .  .  .  .  .  .  .  1  .  . #> ABCB9            .  .   .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  1  1  1  .  .  .  .  .  .  1  .  .  .  .  1  . #> ABCC1            .  .   .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCC10           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCC3            .  .   2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCC4            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCC5            .  .   .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> ABCC8            .  .   .  4  .  .  1  3  .  .  1  .  .  2  .  .  .  .  .  .  .  4  2  3  .  .  .  3 11  4  .  .  .  1  5  5  2  .  1 #> ABCC9            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCD1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCD3            .  .   .  .  .  .  .  1  .  .  .  .  1  1  .  .  .  .  .  1  .  1  .  3  .  .  .  1  1  .  .  .  1  .  .  1  .  1  1 #> ABCD4            .  .   .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCE1            .  1   1  .  .  .  .  .  .  .  .  1  .  1  .  1  .  .  .  .  .  .  .  1  1  .  .  .  .  2  .  1  .  .  1  .  .  .  . #> ABCF1            5  2   3  .  .  .  1  1  1  .  1  1  1  3  .  .  1  2  .  .  .  2  .  .  2  .  .  1  2  .  4  1  2  1  .  .  .  1  . #> ABCF2            .  .   1  1  1  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  1 #> ABCF2-H2BE1      .  .   1  1  1  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  1 #> ABCF3            .  1   .  1  .  .  .  1  .  .  .  .  .  1  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  1  .  . #> ABCG1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  . #> ABCG5            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCG8            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  . #> ABHD10           .  .   .  1  .  .  .  .  1  .  1  .  .  .  .  1  .  .  1  1  .  1  .  1  .  .  .  1  1  .  1  .  .  .  .  .  .  .  . #> ABHD11           1  .   4  .  3  .  .  .  .  .  .  .  2  .  2  1  .  .  .  .  .  .  .  .  1  .  .  .  .  1  1  .  .  2  .  .  .  1  . #> ABHD12           1  .   .  2  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  1  .  .  .  1  .  .  .  .  .  1  .  .  1  .  .  3 #> ABHD13           .  .   .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  2  1  1  .  .  .  .  .  .  .  . #> ABHD14A          .  .   1  3  1  .  .  .  .  2  .  .  .  1  2  2  .  .  .  1  .  1  1  .  .  .  .  .  .  .  .  .  .  4  .  .  .  2  . #> ABHD14A-ACY1     .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABHD14B          .  .   .  .  1  .  .  1  1  .  .  .  .  2  .  1  1  .  .  1  .  .  .  .  .  .  .  1  .  .  .  1  1  .  .  1  .  .  1 #> ABHD15           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABHD16A          .  .   1  1  1  1  .  1  1  .  .  .  .  .  .  1  .  .  1  2  2  .  .  1  3  .  2  1  .  1  .  1  .  1  1  2  .  .  . #> ABHD17A          1  .   3  1  1  .  .  .  1  1  .  .  1  1  .  2  1  .  .  .  .  .  1  2  .  1  .  1  .  2  1  1  .  .  .  .  1  1  . #> ABHD17B          .  .   1  .  .  .  .  .  .  .  .  1  .  .  1  1  .  .  .  .  .  .  1  1  .  .  .  .  1  2  .  .  .  .  .  1  .  .  1 #> ABHD17C          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1 #> ABHD18           .  .   .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABHD2            .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  . #> ABHD3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ABHD4            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABHD5            .  .   .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> ABHD6            .  1   1  .  .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  1  . #> ABHD8            .  .   .  1  .  .  .  .  1  2  .  .  1  .  .  .  .  .  .  .  .  2  .  1  .  .  .  .  .  .  .  .  1  .  .  1  .  .  2 #> ABI1             .  1   1  .  .  .  .  .  1  .  1  2  .  .  .  .  1  .  .  .  .  1  1  .  .  .  2  .  .  1  1  1  .  .  .  .  1  .  1 #> ABI2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  . #> ABI3             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABL1             .  .   1  .  .  1  .  .  .  1  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  1  . #> ABL2             .  .   .  .  .  .  .  .  1  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABLIM1           1  .   1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ABLIM2           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABLIM3           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABR              .  .   2  .  .  .  .  1  .  .  .  .  2  .  .  .  .  .  1  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABRACL           3  .   2  2  1  2  .  1  .  .  2  2  1  .  1  6  1  .  .  .  1  1  .  .  .  1  1  .  1  .  1  1  2  1  1  2  1  1  1 #> ABT1             .  .   1  2  .  1  1  .  .  .  .  1  1  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  . #> ABTB1            .  .   .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  2  .  .  1  .  1  .  1  .  1  .  1  .  1  .  1  .  .  .  . #> ABTB2            1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> AC000120.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC001226.2       2  .   .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1 #> AC002094.3       .  .   .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> AC002310.4       1  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> AC002985.1       .  .   2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC002996.1       .  .   2  .  1  .  .  .  1  .  .  1  .  .  2  1  .  .  1  .  .  .  .  .  .  1  1  .  2  .  1  .  .  .  .  .  .  .  . #> AC003005.1       .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC004076.1       .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC004556.3       2  .   .  .  1  .  .  2  2  .  .  .  1  .  2  .  1  1  1  1  .  .  .  .  1  .  .  .  1  .  .  2  .  .  .  .  .  2  1 #> AC004593.2       .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC004687.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC004691.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC004832.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC004922.1       4  2   3  2  1  1  .  7  2  1  5  3  1  2  4  2  3  .  1  1  1  1  3  6  .  2  2  1  6  1  .  4  3  1  .  2  1  2  3 #> AC004997.1       1  .   .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  1  . #> AC005041.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC005154.5       .  .   2  .  2  .  .  .  2  .  .  .  1  .  .  2  1  .  .  .  .  .  .  1  .  .  .  .  1  .  1  .  .  .  .  .  .  .  . #> AC005192.1       .  .   .  .  .  .  1  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  2 #> AC005324.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC005520.1       1  .   1  1  1  1  .  .  1  1  1  .  .  .  .  .  .  3  .  1  1  .  2  .  1  .  .  .  .  .  .  1  .  .  .  1  .  .  . #> AC005670.2       .  .   1  1  .  .  .  3  .  .  .  .  .  .  .  .  .  1  .  1  .  1  1  1  3  .  .  .  1  1  .  .  .  .  .  .  .  .  1 #> AC005697.1       1  .   .  .  1  .  .  .  .  .  .  .  .  1  2  2  1  .  1  1  .  .  .  .  .  1  .  .  .  .  1  1  1  .  .  .  .  .  1 #> AC005726.1       1  .   .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> AC005943.1       1  1   5  5  4  4  1  6  1  .  2  .  1 12  2  3  7  2  3  4  1  5  1  7  1  2  2  3  6  3  3  2  3  2  5  4  .  1  6 #> AC006030.1       .  1   .  .  .  .  3  .  .  .  2  1  .  1  1  1  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  1  .  .  1  .  .  1 #> AC006059.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC006064.6       2  1   .  3  .  2  2  1  .  1  2  1  1  3  .  1  1  .  .  .  2  2  3  1  1  2  2  .  1  .  1  2  .  .  3  2  2  1  1 #> AC006254.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC007040.2       1  .   2  1  1  1  .  .  2  .  1  1  1  1  1  1  1  1  1  .  .  2  1  .  1  .  2  .  .  .  2  .  .  .  .  1  .  .  . #> AC007192.1       .  .   .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC007325.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC007325.4       1  .   1  1  1  .  .  2  1  3  .  .  .  2  .  2  1  .  2  .  .  .  1  2  .  .  .  1  1  .  .  .  1  1  .  1  2  1  1 #> AC007326.4       1  .   1  1  1  .  .  2  1  3  .  .  .  2  .  2  1  .  2  .  .  .  1  2  .  .  .  1  1  .  .  .  1  1  .  1  2  1  1 #> AC007687.1       7  .   8  2  6  .  .  4  4  3  2  7  3  5  8  3  7  2  1  2  8  7  3  1  4  2  3  2  5  6  3  2  1  2  3  6  3  4  7 #> AC008012.1       2  .   1  .  .  4  .  .  1  .  .  .  .  3  . 10  .  .  .  1  .  .  1  .  .  .  8  3  .  1  .  .  .  .  1  .  .  .  . #> AC008073.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC008397.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC008581.2       .  .   .  1  .  .  .  .  .  2  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  2  .  .  .  1  .  1  .  .  1  .  .  1 #> AC008695.1       .  1   .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  1 #> AC008764.1       .  .   .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC008770.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC009070.1       5  .   4  .  1  .  .  1  .  .  .  1  .  .  .  1  .  1  1  .  1  1  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  1  1 #> AC009690.1       .  .   1  1  1  .  .  2  .  .  .  .  1  1  1  2  3  .  .  .  3  .  .  1  .  .  .  .  1  .  .  .  3  1  .  .  .  .  . #> AC009690.3       .  1   .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  3  .  .  .  . #> AC009779.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC010197.2       1  .   1  .  .  .  1  .  .  .  .  .  .  .  1  4  .  .  2  .  1  .  .  .  .  .  1  .  .  .  7  .  .  .  .  .  .  .  . #> AC010319.2       .  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1 #> AC010323.1       1  .   7  2  3  2  1  7  3  6  1  2  .  3  1  5  3  2  1  1  5  6  3  5  4  2  4  5  5  4  1  7  2  2  6  2  2  1  6 #> AC010422.3       .  .   .  .  .  .  1  1  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  2  .  .  .  1  .  .  .  .  .  .  2  . #> AC010422.5       .  .   .  .  .  .  1  1  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  2  .  .  .  1  .  .  .  .  .  .  2  . #> AC010463.1       .  1   2  2  1  2  2  2  1  .  1  .  .  1  .  1  2  .  1  .  .  1  1  .  .  .  1  1  .  1  .  .  2  1  .  .  .  .  3 #> AC010616.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC011005.1       2  2   8  3  1  2  2  4  4  3  1  1  .  4  6  2  3  1  1  2  1  3  1  2  2  1  2  1  7  3  3  6  4  .  .  2  1  3  1 #> AC011448.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AC011455.2       .  .   .  1  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  1  . #> AC011462.1       1  2   1  2  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  1  1  .  .  .  1  1  1  .  .  1  1  1  3  .  2  1  .  .  2 #> AC011473.4       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC011479.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC011499.1       .  .   .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  2  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  4 #> AC011511.4       2  .   .  .  .  2  1  1  .  .  1  1  .  .  .  1  .  .  1  .  .  .  .  .  .  .  1  .  1  .  .  .  2  1  .  .  .  .  1 #> AC012213.5       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  . #> AC012488.2       .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC013394.1       .  .   .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  1  2  1  .  .  .  .  1  .  1  .  1  .  1 #> AC013477.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  . #> AC013489.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  . #> AC013717.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  1 #> AC015802.6       .  1   .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  1  .  .  .  1  .  .  2  .  1  .  1  2  .  . #> AC016027.6       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC017083.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC018362.3       1  .   1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  1  .  . #> AC019117.1       .  .   .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC020765.6       .  .   .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC020907.6       .  .   .  4  2  1  .  .  5  2  7  6  2  1  1  1  .  1  1  2  4  .  2  2  8  3  1  .  .  3  .  1  4  1  7  2  .  1  . #> AC021087.5       1  .   1  1  .  1  1  2  1  .  .  2  .  1  2  3  1  .  .  1  .  1  4  1  .  .  1  .  1  1  2  .  2  .  2  2  1  1  1 #> AC021660.3       .  1   .  .  2  .  1  1  .  .  .  1  .  2  .  1  .  .  .  .  .  .  .  2  .  .  .  .  1  1  .  .  .  .  .  2  1  .  4 #> AC022384.1       .  .   .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  . #> AC022400.5       .  .   1  .  1  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC022414.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC022826.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC023055.1       .  .   .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  1  .  1  1  1  .  .  .  .  1  .  .  .  .  .  .  .  .  1 #> AC024592.3       6  2   6  6  7  .  2  8  2  2  1  1  1  3  1  3  5  1  6  7  1  5  3  1  1  5  3  2  6  5  1  2  2  .  4  2  3  4  8 #> AC025165.6       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC026464.1       .  .   .  1  .  1  .  .  .  .  .  .  2  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  1  .  .  . #> AC026464.3       .  .   .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  1  . #> AC026464.4       2  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  1  .  1  . #> AC026464.6       .  .   .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  1  . #> AC027644.4       .  .   .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC027796.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC034102.2       6  1   3  1  1  .  1  1  1  .  2  .  .  1  .  4  1  .  1  1  .  .  2  .  .  1  4  2  .  2  .  .  .  .  .  1  .  .  . #> AC034228.3       .  .   .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC036214.3       4  1   4  3  3  3  .  5  2  4  2  5  .  5  .  2  2  .  2  1  .  1  3  .  .  .  2  1  4  8  1  3  2  6  2  4  1  2  4 #> AC037459.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AC048338.1       .  .   .  .  1  .  .  3  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC055811.2       .  .   .  .  .  .  .  1  .  .  1  .  1  .  .  .  .  .  .  .  1  .  .  .  1  .  1  1  .  .  1  .  .  .  .  .  .  .  . #> AC055839.2       .  .   .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC064824.1       .  .   .  .  .  .  1  .  .  1  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC068234.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC068533.4       1  .   1  .  .  1  .  .  .  .  .  .  .  .  2  1  1  .  1  1  .  .  .  .  .  .  .  2  .  1  .  .  .  .  1  1  1  1  1 #> AC068547.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC068580.4       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC068631.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC068831.6       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC068946.2       .  .   .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  1  . #> AC069257.3       .  .   1  1  3  1  1  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  1  1  .  .  2  .  .  .  1  1  1  1  .  .  .  1  . #> AC069503.2       .  2   1  .  .  .  1  .  .  2  1  1  1  1  1  .  1  .  .  .  .  1  .  .  .  .  3  1  .  1  1  .  .  1  1  .  1  3  1 #> AC073508.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC073612.1       .  .   .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  1  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC073896.1      10  .   9  1  3  4  3  7  3  3  1  3  2  3  1  6  4  2  2  2  4  3  4  3  4  3  2  1  5 13  6  8  4  1  6  6  5  5 12 #> AC074143.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC078815.1       .  .   .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  . #> AC078927.1       1  .   .  2  1  2  .  2  .  .  1  .  .  1  1  1  2  .  1  .  .  1  1  2  3  .  2  1  2  4  1  3  .  2  1  2  .  1  1 #> AC079447.1       2  .   1  2  4  1  1  3  2  1  .  .  2  1  1  1  1  .  .  1  2  .  1  2  2  3  2  .  1  3  1  2  1  2  3  1  .  2  3 #> AC079594.1       .  .   1  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> AC083977.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC087721.2       2  .   1  .  .  .  .  .  .  .  .  .  .  .  .  3  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC090004.1       1  .   1  .  1  .  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  . #> AC090227.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> AC090517.4       .  1   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> AC091057.5       .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC091167.2       .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC091167.7       .  .   .  .  .  1  .  .  .  1  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  . #> AC091959.1       1  .   .  1  .  .  .  1  .  1  .  .  1  .  1  .  .  1  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  . #> AC092017.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC092042.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> AC092073.1       .  .   1  .  .  .  2  .  .  .  1  .  1  .  1  .  .  .  .  .  .  .  .  .  1  .  1  1  .  2  .  .  .  .  .  .  .  .  1 #> AC092143.1       .  1   .  1  .  .  4  3  .  2  .  4  2  .  .  .  1  3  .  1  1  6  .  .  8  4  .  .  7  .  .  4  3  .  .  .  .  .  3 #> AC092647.5       3  1   5  .  1  .  .  2  1  2  1  1  .  1  .  5  2  1  1  .  1  .  2  1  2  1  1  1  2  .  3  3  .  3  1  1  .  .  1 #> AC092718.2       1  .   2  .  .  1  .  2  .  1  .  .  2  2  .  1  .  .  .  1  .  1  .  1  .  .  3  1  1  1  3  .  .  .  .  2  .  .  . #> AC092718.7       1  .   2  .  .  1  .  2  .  1  .  .  2  2  .  1  .  .  .  1  .  1  .  1  .  .  3  1  1  1  3  .  .  .  .  2  .  .  . #> AC092835.1       .  .   .  .  .  1  .  .  .  1  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  . #> AC093155.3       .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  1  1  . #> AC093323.1       5  6  12 11  7  2  3  6  6  6  9 11  3  8  2  5 10  5  6 10  6  7 12 11  9  7  3  7 15  1  2  9  7 11  6  4 13  9 10 #> AC093525.1       1  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AC093525.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC093827.5       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC093884.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  . #> AC096887.1       1  .   1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC097634.4       .  1   1  .  1  .  .  .  .  .  .  .  .  2  1  .  .  2  .  .  .  .  1  .  1  .  .  1  .  3  1  .  .  1  1  1  .  .  1 #> AC104389.5       .  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> AC104452.1       .  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  . #> AC104472.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC105052.1       1  1   .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  3  .  .  .  1  1  .  .  1  .  .  .  1  .  1  .  .  .  .  .  .  . #> AC105052.3       3  1   3  .  1  .  .  3  3  2  2  1  .  1  .  3  3  2  2  1  1  1  3  1  .  1  1  .  3  1  3  2  .  4  .  3  2  .  . #> AC106741.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC106873.8       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC106886.5       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC108488.2       1  1   .  1  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AC109583.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC112128.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  . #> AC116366.1       3  .   2  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC117378.1       2  .   1  .  1  .  .  .  .  .  .  .  .  1  1  2  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC117457.1       .  .   .  2  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  . #> AC119674.2       .  .   .  1  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> AC126283.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  . #> AC129492.3       .  1   .  .  .  1  .  .  2  2  1  1  .  .  .  1  .  .  .  3  .  1  2  3  1  1  2  .  2  .  .  1  2  1  2  .  .  .  2 #> AC131160.1       3  .   2  .  .  .  .  1  .  .  1  .  .  1  .  2  1  1  .  .  .  .  .  .  .  1  1  1  .  .  2  2  1  1  .  .  .  1  . #> AC136352.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC136475.9       7  2  14  . 14  7  4  2  3  1  1  1  3  3 17 14  2  6  6  2  4  1  5  1  1 13 12  1  1  4 10 12  .  1  .  2  6  7 16 #> AC136616.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> AC137834.1       1  .   .  .  .  .  .  1  .  1  1  .  .  1  .  .  .  .  .  .  .  .  .  .  2  1  1  1  1  .  1  1  .  .  .  .  .  .  . #> AC138647.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC138696.1       1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC139530.2       1  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> AC140504.1       .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> AC142391.1       .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC243967.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC244197.3       .  .   .  .  .  .  .  2  .  .  1  .  1  1  .  1  1  .  .  1  .  1  .  .  .  4  .  .  .  1  .  .  1  .  .  .  .  .  1 #> AC245033.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC245748.1       .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC253536.7       1  .   1  1  .  .  .  2  .  .  .  .  .  .  .  3  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  1 #> ACAA1            1  1   4  .  1  1  .  3  .  2  1  1  .  2  2  1  1  3  1  1  1  2  1  1  .  1  1  .  .  2  .  1  1  1  1  1  2  1  1 #> ACAA2            2  .   3  .  .  4  .  1  .  .  .  .  .  .  1  2  1  .  1  .  .  .  .  .  .  1  1  1  .  .  .  1  .  2  .  .  2  2  . #> ACACA            .  .   1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  . #> ACACB            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACAD10           .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACAD11           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACAD8            .  .   .  .  .  1  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  1  .  .  1  . #> ACAD9            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  . #> ACADL            .  .   2  .  2  .  .  .  1  .  .  .  .  .  2  1  1  2  .  1  .  .  .  .  .  .  3  1  .  1  2  .  1  .  .  1  1  2  . #> ACADM            1  .   1  1  2  1  .  .  .  .  .  .  .  1  .  3  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  1  .  1  1 #> ACADS            .  2   .  2  .  1  .  .  .  .  1  .  2  .  1  .  .  .  .  .  1  .  .  1  .  1  .  1  .  1  3  1  .  .  .  1  .  .  . #> ACADSB           .  .   .  1  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  1  2  .  1  .  .  .  1  .  .  .  .  .  1  1 #> ACADVL           2  .   1  3  .  .  1  1  .  1  .  2  .  1  2  2  .  .  1  2  .  .  1  .  2  1  .  .  .  .  .  .  1  1  1  2  2  1  1 #> ACAN             .  .   2  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> ACAP1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACAP2            .  .   .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACAP3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACAT1            3  .   1  1  .  1  .  2  1  2  .  .  .  3  .  2  1  .  .  2  .  .  .  .  1  .  .  2  1  1  .  1  .  .  .  2  .  1  . #> ACAT2            .  .   2  .  1  .  .  .  .  .  1  1  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  1  .  . #> ACBD3            1  .   .  .  1  1  1  .  1  .  .  .  .  2  .  .  1  .  .  .  .  2  1  1  .  .  .  .  .  2  .  .  .  1  .  .  .  .  . #> ACBD4            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACBD5            .  1   1  .  .  .  1  .  2  1  1  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  1  .  .  .  .  .  .  . #> ACBD6            2  .   1  2  .  .  .  1  1  .  1  .  1  .  1  .  .  1  1  1  .  .  1  .  2  1  1  .  .  .  .  3  .  1  1  1  1  .  1 #> ACBD7            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACCS             .  .   .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  . #> ACD              2  1   .  1  .  .  1  2  1  1  .  .  .  .  1  2  .  .  .  1  1  1  .  .  1  1  .  .  .  2  1  .  .  .  .  1  .  .  . #> ACE2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACER2            .  .   3  .  3  .  1  .  .  .  .  .  1  .  .  .  1  1  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  2 #> ACER3            .  .   .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  1  .  . #> ACIN1            3  2   3  .  .  1  .  1  .  .  1  3  2  .  1  1  3  2  1  .  2  .  1  1  2  .  1  2  1  1  1  .  3  1  1  1  2  .  1 #> ACKR3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACLY             .  .   .  2  1  2  2  4  4  .  .  1  4  .  1  1  .  1  1  .  .  3  2  6  .  2  .  3  8  2  2  3  1  1  1  .  2  .  4 #> ACO1             .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  . #> ACO2             2  2   1  1  2  3  1  5  3  3  .  .  1  .  1  1  2  1  1  2  2  1  1  .  .  2  2  1  6  1  3  1  2  1  1  1  1  .  3 #> ACOT1            2  .   5  .  1  6  1  .  .  2  .  1  .  .  6  3  1  .  4  .  .  .  1  .  1  1  5  .  1  .  2  5  .  .  .  .  .  3  . #> ACOT11           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  2  .  . #> ACOT12           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACOT13           2  .   .  1  1  1  .  1  .  .  1  .  .  1  .  2  1  .  .  .  .  .  1  1  1  .  .  1  2  .  1  .  2  3  3  2  .  1  . #> ACOT2            2  .   5  .  1  6  1  .  .  2  .  1  .  .  6  3  1  .  4  .  .  .  1  .  1  1  5  .  1  .  2  5  .  .  .  .  .  3  . #> ACOT4            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACOT6            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACOT7            1  .   1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  . #> ACOT8            1  1   .  .  .  .  1  .  .  .  .  1  .  .  2  1  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  1  1  1  .  .  . #> ACOT9            .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> ACOX1            .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  1  1  .  . #> ACOX2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACOX3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACOXL            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACP2             .  1   1  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  1  3  .  .  1  .  1  1  .  .  . #> ACP3             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACP5             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ACP6             1  .   .  .  .  .  .  .  .  2  .  .  .  1  1  1  .  .  1  .  .  .  .  .  .  .  1  .  1  .  .  .  1  .  .  1  .  1  . #> ACRBP            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACSBG1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACSF2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  . #> ACSF3            .  .   2  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  1  .  .  .  .  .  2  .  1  1 #> ACSL1            1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  . #> ACSL3            .  .   .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  . #> ACSL4            .  1   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  1  .  .  .  .  .  . #> ACSL5            3  1   3  .  1  1  1  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  . #> ACSL6            .  .   .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACSM3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACSS3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACTA1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACTA2            .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACTB            16 11 154  4 10 17  6 12 19  7  5 15 20 19 27 37 14 10 15  7 24  4  6  4 18 11 32 15 14  3 24 21 13  9  3 11 13  8 16 #> ACTC1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACTG1           11 22  23  1 12 20 20  6  8 19 25 13 22  5 26 36 18 16  4  4 19  8 22  3 24 20  7 10  9  1 10 34 26 14  7 12  9 17 14 #> ACTL10           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACTL6A           1  .   .  .  1  .  1  3  .  .  .  .  .  .  .  2  .  .  1  2  .  .  .  .  .  .  1  .  1  .  .  .  2  .  .  1  2  .  . #> ACTL6B           .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACTN1            2  .   1  .  .  1  .  1  .  1  1  .  .  .  1  3  .  .  .  .  .  .  .  .  2  .  1  1  .  .  .  .  .  .  .  .  1  .  . #> ACTN3            .  .   .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  1  .  .  1  .  .  1  .  .  .  .  .  .  . #> ACTN4            5  .   1  2  .  1  .  1  .  .  .  2  .  .  2  3  1  .  .  .  .  .  1  2  .  2  2  1  .  .  1  2  1  1  .  .  1  3  1 #> ACTR10           .  1   3  .  .  1  .  2  1  .  1  3  .  .  1  .  1  .  1  2  .  .  1  2  1  .  .  2  2  2  .  .  .  .  .  .  2  1  1 #> ACTR1A           .  1   1  1  .  .  3  .  2  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  2  .  .  .  .  .  1  .  .  2  .  1  1  1  2 #> ACTR1B           1  .   2  2  1  .  1  2  1  2  .  .  2  1  .  .  1  .  .  .  1  1  .  1  1  .  .  .  1  1  .  1  .  .  .  3  1  .  . #> ACTR2            1  .   1  .  .  .  1  1  .  1  .  .  2  3  .  2  .  .  .  .  .  2  1  1  .  1  .  .  1  .  .  2  .  .  .  2  .  .  . #> ACTR3            .  4   1  2  2  .  1  .  1  1  1  1  .  2  .  4  1  1  1  2  2  .  4  1  .  .  .  2  1  3  .  5  3  3  2  1  1  4  . #> ACTR3B           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  . #> ACTR3C           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  . #> ACTR5            .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  . #> ACTR6            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  . #> ACTR8            .  .   .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  1  .  1  2  1  .  . #> ACTRT3           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACVR1B           .  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1 #> ACVR1C           .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> ACVR2A           .  .   1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  . #> ACVR2B           .  .   1  .  .  1  1  .  .  .  .  .  .  .  .  1  .  3  .  .  .  1  .  .  .  .  .  .  .  1  .  .  1  .  1  .  2  .  1 #> ACVRL1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACY1             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACY3             .  .   .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  . #> ACYP1            2  .   1  .  1  .  .  2  .  .  .  1  1  .  2  3  .  .  .  .  1  1  .  1  .  .  1  2  1  .  .  1  .  .  .  .  .  2  1 #> ACYP2            .  .   .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  1 #> AD000671.1       4  .   4  2  1  .  1  3  2  1  2  .  1  1  3  1  2  1  1  .  1  3  2  1  1  1  2  1  3  7  1  2  3  .  .  4  .  .  . #> ADA              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAL             .  .   .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAM10           .  .   .  .  2  .  .  .  1  .  .  1  .  1  .  .  .  1  1  .  .  1  1  1  1  .  .  1  .  .  1  1  1  .  1  .  .  .  . #> ADAM11           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> ADAM12           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAM15           1  .   .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> ADAM17           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  . #> ADAM21           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAM22           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAM23           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1 #> ADAM30           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAM32           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAM8            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAM9            .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS1          5  .   4  .  1  1  .  .  .  .  .  .  .  .  4  4  .  .  1  .  .  .  .  .  .  .  5  1  .  .  6  .  .  .  .  .  .  1  . #> ADAMTS10         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS13         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS15         .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS16         1  .   2  .  2  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  . #> ADAMTS17         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS18         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS19         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS2          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS5          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  . #> ADAMTS6          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS7          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS8          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS9          2  .   .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTSL1         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTSL2         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTSL4         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTSL5         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAP1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAP2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAR             .  .   .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  . #> ADARB1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAT1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAT2            .  .   .  .  .  1  .  .  .  .  .  .  .  .  1  .  1  .  .  1  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  . #> ADCK1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADCK2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADCK5            .  .   .  .  .  .  1  .  .  1  .  .  .  .  .  2  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  1  .  1 #> ADCY1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADCY2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADCY3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADCY5            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  . #> ADCY6            1  .   .  .  .  2  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  . #> ADCY8            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADCY9            .  .   .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADCYAP1R1        .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADD1             .  .   1  1  2  .  .  1  .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  2 #> ADD2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADD3             .  .   2  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGB             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRA1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRA2           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRA3           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  . #> ADGRB1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRB3           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRE5           .  .   .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRF5           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRG1           1  .   1  1  .  .  4  1  1  .  2  1  .  1  2  1  .  .  1  3  .  .  .  1  2  .  .  .  .  2  .  .  .  .  .  .  1  1  1 #> ADGRG2           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRG3           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRG6           .  .   3  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRL1           .  .   .  1  .  .  .  1  1  .  .  .  .  1  .  .  1  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1 #> ADGRL2           1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRL3           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRV1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADH1A            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADH1B            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADH1C            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADH5             1  1   2  .  2  1  .  1  .  .  .  1  2  .  .  1  1  2  1  .  2  1  1  .  2  .  3  1  1  .  2  2  1  .  .  1  2  1  1 #> ADH7             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADI1             .  .   .  .  .  1  .  1  1  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  1  .  .  1  .  .  1  .  .  .  .  .  . #> ADIPOR1          2  1   2  .  3  .  .  1  .  1  .  .  1  2  1  1  1  .  2  .  2  2  .  1  5  .  .  1  2  1  1  1  .  1  .  1  1  1  3 #> ADIPOR2          1  1   .  .  .  .  .  .  .  .  .  .  1  1  .  .  1  .  .  1  .  .  .  .  .  .  1  .  1  .  .  .  1  .  .  .  .  .  . #> ADK              1  .   2  .  2  .  .  .  .  .  .  .  .  .  2  4  1  .  2  .  .  .  1  1  .  .  .  .  1  .  2  1  1  .  .  .  .  1  . #> ADM              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADM2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADNP2            .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADO              .  .   .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  1  .  .  .  .  2  .  1  1  .  .  .  .  .  .  1  . #> ADORA1           .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ADORA2A          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> ADORA2B          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADPGK            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  . #> ADPRH            .  1   .  .  .  .  1  2  1  .  1  1  .  1  2  3  1  .  .  2  .  2  2  .  .  .  2  1  .  .  .  1  .  1  1  .  2  1  . #> ADPRM            .  .   .  .  1  .  .  1  .  .  .  .  .  .  .  1  .  .  1  .  .  .  1  .  .  .  .  .  2  1  .  .  1  .  .  .  .  .  . #> ADRA2A           .  .   .  .  .  .  .  3  .  .  2  .  .  .  .  .  .  .  .  .  .  1  .  2  .  .  .  .  2  .  .  .  .  2  .  .  .  .  4 #> ADRA2C           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADRB1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  . #> ADRB2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  . #> ADRM1            3  1   3  .  3  1  3  4  .  2  3  .  .  1  1  1  1  1  1  .  .  2  1  1  1  2  1  1  2  1  3  2  2  .  .  3  2  2  5 #> ADSL             1  1   1  1  1  1  .  .  .  .  .  .  .  1  .  1  .  1  1  .  .  2  .  .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  . #> ADSS1            2  .   .  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADSS2            .  1   .  1  .  1  1  .  .  .  1  1  .  .  1  3  2  .  1  .  .  .  .  .  .  1  1  .  1  .  1  .  1  .  .  .  .  1  . #> AEBP1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AEBP2            .  .   .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AEN              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AF196969.1       1  1   1  .  .  .  .  .  .  .  .  1  .  .  1  .  1  .  1  .  .  .  2  1  .  .  .  .  .  1  2  1  1  .  .  1  1  .  . #> AF241726.1       1  2   1  6  1  .  1  7  5  3  4  .  1  1  .  .  4  .  .  .  1  4  1  5  .  .  1  7  9  4  .  .  3  1  .  4  1  .  3 #> AFAP1            .  .   .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  . #> AFAP1L1          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  . #> AFAP1L2          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AFF1             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AFF2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AFF3             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AFF4             .  .   1  .  1  .  1  1  1  .  .  .  .  .  .  .  .  .  .  .  .  2  1  .  .  1  .  1  2  .  1  .  .  .  1  .  .  1  1 #> AFG3L2           .  .   1  .  1  .  .  .  1  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  . #> AFM              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AFP              .  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AFTPH            .  .   .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  2  .  .  .  .  1  .  .  .  .  .  . #> AGA              .  .   .  .  .  1  1  .  1  .  1  .  .  1  1  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  2  .  .  1  1  .  .  . #> AGAP1            1  .   .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  1  .  .  2  .  .  .  . #> AGAP3            .  .   .  .  .  .  .  1  1  .  1  2  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  2  .  .  .  .  1  .  2 #> AGBL3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGBL4            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGBL5            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  1 #> AGER             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGFG1            .  .   .  2  .  .  .  1  1  1  .  .  .  1  1  .  .  .  .  .  .  .  .  1  .  .  .  2  1  .  .  .  1  .  1  .  2  .  3 #> AGFG2            .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGGF1            .  .   .  1  .  .  .  .  .  2  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  2  .  .  .  1  .  1  .  .  1  .  .  1 #> AGK              1  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  . #> AGL              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  . #> AGMAT            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGMO             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGO1             .  .   1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGO2             .  .   .  .  .  .  1  .  .  .  1  .  2  3  1  1  .  1  .  1  1  .  .  .  1  .  .  .  .  1  .  .  .  1  .  .  1  .  3 #> AGO3             .  .   .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGO4             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  . #> AGPAT1           1  .   .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  1  .  .  1  1  1  1  .  .  .  .  .  .  .  . #> AGPAT2           1  .   .  .  3  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  1  1  .  .  .  1  .  .  .  .  . #> AGPAT3           1  1   .  .  .  .  .  2  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  . #> AGPAT4           .  .   .  .  .  1  .  .  .  .  .  .  .  .  2  .  1  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  . #> AGPAT5           .  .   1  .  .  .  1  2  .  .  .  .  1  .  .  .  1  1  .  1  .  .  .  2  .  .  .  .  1  .  .  .  1  .  .  .  .  1  1 #> AGPS             .  .   .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGR2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> AGRN             1  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> AGRP             1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGT              .  .   .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  2  .  .  .  .  2  .  .  .  .  .  .  1 #> AGTPBP1          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGTR1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> AGTRAP           .  1   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  3  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  . #> AGXT             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AHCTF1           .  .   .  .  .  .  .  .  1  .  .  .  2  .  .  2  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  . #> AHCY             1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AHCYL1           1  .   2  .  1  .  .  1  .  .  .  .  .  .  .  .  .  1  1  .  .  1  1  .  1  .  1  .  2  1  .  .  .  .  1  .  .  1  2 #> AHCYL2           .  .   .  1  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  1  .  .  .  .  1  .  .  .  . #> AHDC1            1  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AHI1             .  .   .  1  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  1  1  .  .  1  .  .  1  1  .  .  .  .  .  .  2  .  .  . #> AHNAK            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AHNAK2           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AHR              .  .   .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AHSA1            4  .   2  4  1  1  .  .  4  .  .  2  1  2  2  5  .  2  1  2  1  .  3  .  2  1  1  .  .  3  1  .  6  .  2  3  1  .  . #> AHSG             .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AIDA             .  .   .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  1  .  .  .  .  .  .  1  .  .  . #> AIF1             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AIF1L            2  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AIFM1            1  .   1  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  2  .  .  1  .  .  .  .  .  .  1  1  .  .  1  .  . #> AIFM2            .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  . #> AIFM3            1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> AIG1             .  .   1  2  1  .  .  1  .  .  .  .  1  .  2  .  .  .  .  .  .  .  1  .  .  .  1  .  1  2  5  .  .  .  .  1  .  1  . #> AIMP1            1  1   3  .  4  .  2  1  2  2  1  .  1  1  1  1  2  1  .  1  1  .  1  1  1  .  1  3  3  .  2  1  1  .  .  1  .  1  4 #> AIMP2            .  .   4  .  .  .  .  1  .  .  .  .  .  1  2  .  .  .  .  .  .  .  1  .  .  .  .  2  .  .  .  .  1  .  .  .  .  3  . #> AIP              1  .   2  2  1  .  .  .  1  .  1  .  1  1  1  .  2  .  1  .  2  .  .  1  1  .  2  1  2  3  1  .  .  .  .  1  1  1  . #> AIPL1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AIRE             .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AJAP1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AJUBA            .  .   1  .  .  1  .  .  .  .  .  .  .  .  2  1  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  . #> AK1              .  .   .  .  .  1  .  1  .  .  .  .  .  1  1  1  .  .  .  1  1  .  1  1  .  .  .  .  .  .  1  .  .  1  .  1  .  .  3 #> AK2              3  .   5  .  1  .  1  1  1  1  .  1  .  .  1  3  .  1  2  .  .  1  1  1  .  .  2  1  1  .  2  .  1  .  .  2  .  1  . #> AK3              .  .   1  1  .  .  1  .  .  .  .  1  .  1  .  1  1  1  .  .  2  .  .  1  .  .  .  .  .  1  1  .  .  .  .  .  .  .  1 #> AK4              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AK5              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AK7              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AK8              .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AKAP1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  1 #> AKAP10           .  .   .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AKAP11           1  .   .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  1  1  .  2  .  .  1  .  2  .  .  .  1  .  .  .  .  .  1 #> AKAP12           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AKAP13           .  .   1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  . #> AKAP5            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AKAP7            .  .   2  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> AKAP8            .  1   1  1  .  .  .  1  .  1  .  .  .  .  .  .  .  2  .  .  .  2  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  1  2 #> AKAP8L           1  .   1  .  .  1  .  2  .  1  .  .  .  1  .  .  .  1  .  .  .  1  1  .  .  .  .  3  .  2  .  1  2  2  .  .  1  .  . #> AKAP9            1  1   .  .  .  .  3  .  1  1  .  .  2  3  1  2  .  1  1  4  .  3  .  .  1  2  3  1  1  1  1  1  .  1  .  4  2  .  1 #> AKIP1            1  .   .  .  1  1  .  .  .  .  .  .  .  1  .  1  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AKIRIN1          .  1   1  1  1  .  .  2  3  2  1  .  1  1  .  1  3  .  .  1  .  1  .  .  .  1  1  1  3  .  .  .  1  .  .  .  .  .  . #> AKIRIN2          .  1   3  .  1  3  3  3  2  3  3  .  2  1  1  1  .  2  3  .  .  .  2  1  1  1  .  2  1  1  2  .  1  1  .  3  1  1  2 #> AKNA             .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AKR1A1           8  5   7  4  9  7  3  9  7  2  3  5  8  4  3  8  3  1  6  5  4  4  6  2  3  5  5  1  4  5  6  7  4  4  3  5  5  5  6 #> AKR1B1           .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  . #> AKR1B10          1  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  . #> AKR1E2           .  1   1  .  .  .  .  .  .  .  .  .  1  1  .  3  .  .  .  .  .  .  1  .  .  .  .  .  1  3  1  .  1  1  .  1  .  .  1 #> AKR7L            1  1   1  .  1  1  1  3  1  3  1  1  .  2  4  2  .  2  .  1  .  .  1  .  1  .  1  2  1  1  1  2  .  1  2  .  .  2  1 #> AKT1             .  .   1  2  1  .  .  .  2  .  .  .  1  .  .  .  .  1  1  .  .  .  .  .  1  1  .  .  2  1  1  1  2  1  .  .  1  .  1 #> AKT1S1           3  1   3  .  1  1  1  3  1  1  1  1  3  .  .  .  .  1  .  1  1  3  .  2  3  1  1  .  3  .  1  .  2  2  1  2  2  .  . #> AKT2             .  .   .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AKT3             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AKTIP            .  .   .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  . #> AL033529.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL035461.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL049629.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  3  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL049634.2       .  .   .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> AL049697.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL049779.1       .  .   .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  . #> AL049844.3       .  .   .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1 #> AL096711.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL110118.1       .  .   1  .  .  .  1  1  .  1  1  .  1  .  .  1  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  1  .  .  .  .  .  .  . #> AL117348.2       .  1   2  2  2  1  .  5  1  2  1  .  2  2  1  .  2  2  .  2  2  4  3  3  .  2  .  1  3  3  1  1  3  2  4  7  1  .  2 #> AL132671.2       .  .   .  2  .  .  .  .  .  .  .  1  1  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  1 #> AL132780.3       .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  3  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL133352.1       6  .  12  9  2  1  1  8  3  2  4  3  1  2  3  7  8  1  3  2  2  3  1  3  3  .  2  2  8  4  3  2  1  2  4  7  2  5  4 #> AL133500.1       .  .   .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  . #> AL136295.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL136295.3       .  1   2  .  1  .  1  .  .  1  .  .  .  .  .  1  .  .  1  2  .  1  .  2  .  .  .  .  .  1  .  .  .  1  .  1  .  1  . #> AL136295.4       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL136295.5       .  .   .  .  .  .  .  .  .  .  1  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AL138752.2       .  .   1  1  .  1  .  .  .  .  .  .  .  .  1  1  .  1  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AL139142.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL139260.3       .  1   .  3  .  .  .  2  1  .  2  .  1  2  2  1  1  1  1  .  1  2  .  .  .  .  .  .  1  .  .  .  .  1  1  .  .  .  . #> AL157392.5       .  .   .  .  .  .  1  .  .  .  .  .  .  2  .  1  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AL157935.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL159163.1       2  .   .  .  3  2  1  1  2  .  .  2  1  1  2  1  .  .  .  .  .  4  2  1  .  1  .  3  3  2  1  4  .  .  3  1  .  .  . #> AL160269.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL162231.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  2  .  .  .  .  .  .  .  .  .  .  .  1  1  3  1  .  .  .  .  1  1 #> AL162417.1       .  .   .  1  .  .  .  2  .  .  1  .  1  1  1  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  2  1  1  .  .  .  . #> AL162596.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL353671.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL355312.5       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL355315.1       .  .   1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1 #> AL355916.3       .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL357075.4       .  .   .  .  .  1  1  1  .  .  .  .  2  .  .  .  4  .  .  .  1  .  .  .  1  1  1  .  .  .  .  1  .  .  .  .  .  1  . #> AL357673.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL358113.1       .  .   1  .  .  .  .  .  .  .  .  .  .  .  1  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL358472.6       .  .   1  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  3  . #> AL358472.7       2  .   1  1  1  3  .  4  3  1  .  1  1  1  .  4  .  .  .  1  .  .  3  2  1  .  1  1  1  2  1  .  .  .  .  2  .  2  1 #> AL359736.1       1  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  1 #> AL360181.3       .  .   .  .  .  1  .  1  .  .  .  .  .  .  1  2  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  . #> AL365205.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL391628.1       .  .   1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  . #> AL445524.2       .  .   .  .  .  .  .  1  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  1  .  .  2  .  .  .  1  .  .  .  1  .  .  .  . #> AL445685.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL451062.2       .  .   .  .  .  .  1  .  .  .  1  .  .  1  .  .  .  1  1  .  .  .  1  .  .  .  .  .  .  1  .  .  1  1  .  .  .  .  . #> AL451136.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL512506.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL512785.2       1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL590132.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL592183.1       .  .   .  .  1  1  2  .  1  1  1  1  1  1  2  2  2  .  1  2  .  .  .  1  .  .  .  .  .  1  1  1  .  .  1  .  .  .  . #> AL603832.3       2  .   .  .  .  2  .  .  1  1  4  .  .  .  2  1  .  .  .  .  1  .  .  1  2  .  1  .  2  .  1  .  2  .  1  2  .  .  . #> AL645941.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL662899.1       .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  . #> AL662899.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL669918.1       .  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1 #> AL807752.7       1  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL845331.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL928654.3       1  .   1  .  .  1  .  .  .  .  .  .  .  6  .  5  .  .  .  .  .  .  .  .  .  .  .  .  1  1  1  .  .  .  .  .  .  1  . #> ALAD             2  .   2  1  .  2  .  1  .  .  1  .  .  .  1  2  .  .  2  .  .  .  .  1  .  .  .  2  1  1  .  .  .  1  .  1  .  .  . #> ALAS1            .  .   .  .  .  .  1  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  1 #> ALB              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALCAM            .  1   .  1  1  .  .  .  .  .  .  1  1  1  .  .  1  .  .  1  1  .  3  1  .  .  .  1  1  5  1  .  1  .  .  .  .  .  . #> ALDH16A1         1  .   1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALDH18A1         .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  3  .  1  .  .  .  1  .  .  .  .  .  2  .  .  1  .  .  .  .  .  .  .  . #> ALDH1A1          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALDH1A2          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALDH1A3          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALDH1B1          3  .   7  .  .  1  .  .  .  1  .  1  2  1  .  .  .  .  .  1  1  1  .  1  .  .  .  .  .  .  .  5  .  .  .  .  2  3  . #> ALDH1L1          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALDH2            .  .   2  .  1  .  .  .  1  .  .  1  .  .  2  1  .  .  1  .  .  .  .  .  .  1  1  .  2  .  1  .  .  .  .  .  .  .  . #> ALDH3B1          .  .   .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> ALDH3B2          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALDH4A1          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALDH5A1          .  .   .  .  .  1  2  3  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  2  .  1  .  .  .  .  .  .  .  1  .  .  .  . #> ALDH6A1          .  1   .  .  .  1  .  1  .  .  .  .  .  1  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  . #> ALDH7A1          2  .   1  .  .  .  .  .  1  .  .  .  1  .  .  1  .  .  .  .  .  1  .  .  1  .  1  .  .  .  .  1  1  1  .  .  .  1  1 #> ALDH9A1          .  .   .  .  .  2  .  .  1  .  .  .  2  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  2  1  3  .  .  .  .  .  .  .  1 #> ALDOA           10  .   5  2 10  7  2 13  9  1  3  2  4  4  2  7  3  .  2  2  1  2  2  4  3  .  6  2  6  9  4  .  1  3  1  6  .  3  8 #> ALDOB            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALDOC            5  .   6  1  .  7  .  .  .  .  1  .  .  .  5  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> ALG1             .  .   .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALG10            .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALG10B           .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALG11            .  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  . #> ALG12            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ALG13            .  .   .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALG14            .  .   2  .  1  .  1  1  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  1  .  1  .  .  . #> ALG1L            .  .   .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALG1L2           .  .   .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALG2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALG3             1  .   1  .  .  .  .  .  .  1  .  .  .  .  1  2  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  1 #> ALG5             1  .   2  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  1  .  .  .  1  .  .  1  .  .  3  .  .  .  .  .  .  .  1  . #> ALG6             1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALG8             .  .   1  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  1  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> ALG9             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALKBH1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  1  .  .  .  .  1  .  1 #> ALKBH2           .  .   .  .  1  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  3  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALKBH3           .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ALKBH4           .  .   .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  2  .  .  .  .  1  .  .  .  .  .  .  . #> ALKBH5           1  .   3  2  2  .  .  .  1  .  .  .  .  1  .  1  1  1  1  2  .  .  .  1  .  1  .  1  .  .  .  .  .  .  .  .  .  .  . #> ALKBH6           .  2   1  1  1  .  .  4  .  .  .  1  .  1  .  .  .  1  1  1  2  1  2  .  .  .  .  1  .  1  .  .  .  .  1  .  1  1  1 #> ALKBH7           1  1   1  .  .  1  .  .  1  .  .  .  .  1  1  .  .  .  1  .  1  .  1  .  .  .  .  .  1  1  1  1  1  1  .  1  .  .  1 #> ALKBH8           .  1   .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  2  .  .  .  .  .  .  .  .  .  . #> ALLC             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALMS1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALOX12           .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALOX15B          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALOX5            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALOX5AP          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALOXE3           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  . #> ALPK1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALPK3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALPL             .  .   .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALS2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALS2CL           .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALX3             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALYREF           4  .   4  .  .  1  .  1  .  .  .  1  1  .  .  3  2  2  1  .  1  1  1  .  .  2  3  1  1  2  .  .  1  .  .  .  .  2  4 #> AMACR            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  1  . #> AMBP             6  1   3  1  2  4  .  9  1  2  .  4  4  1  8  2  .  .  5  1  .  .  .  .  .  1 14  .  .  2  1  .  1  .  1 17  7  3  8 #> AMBRA1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AMD1             1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  1  1  .  1  .  .  .  .  .  .  1  .  1  .  .  .  .  .  . #> AMDHD1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AMDHD2           1  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AMER1            1  1   .  .  2  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  2  .  .  .  .  1  1  .  .  .  .  .  1  1  1 #> AMER2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  . #> AMER3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AMFR             1  .   .  .  2  .  .  1  .  1  1  .  .  1  .  .  .  .  .  2  .  2  2  .  2  1  1  .  .  .  1  .  .  1  .  .  2  1  1 #> AMH              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AMHR2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AMIGO1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  . #> AMIGO2           .  .   .  1  .  .  .  .  .  3  .  .  1  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  1  .  .  .  1  2  .  .  .  .  . #> AMIGO3           .  .   .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AMMECR1          .  .   .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  1  .  .  1  .  .  .  .  .  .  .  .  . #> AMMECR1L         .  .   .  .  1  1  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  1  .  1  1  .  .  .  .  .  .  1  .  1  .  .  .  . #> AMN              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AMN1             .  .   .  .  .  .  .  1  .  .  .  2  .  .  .  .  1  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AMOT             .  .   2  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AMOTL1           .  .   1  .  .  .  .  1  .  .  .  .  .  .  4  2  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  1  .  .  .  .  2  .  3 #> AMOTL2           1  .   2  .  .  2  1  .  .  .  .  1  .  1  1  .  1  1  .  .  .  .  .  .  .  3  1  .  .  .  1  2  .  .  .  .  2  3  3 #> AMPD2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  . #> AMPH             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AMT              .  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  . #> AMZ1             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AMZ2             .  .   .  .  .  .  1  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  1  .  .  .  .  .  1  1  1  .  .  .  .  .  .  . #> ANAPC1           .  .   .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANAPC10          1  .   1  .  .  .  .  .  .  .  1  .  1  .  .  1  .  .  .  1  .  .  1  1  1  .  1  .  1  .  1  1  1  .  2  .  .  2  . #> ANAPC13          2  .   1  .  3  3  .  2  3  .  1  1  .  1  1  4  2  .  1  2  .  4  1  5  .  .  2  1  1  2  2  .  .  .  .  .  .  1  2 #> ANAPC15          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> ANAPC16          2  .   3  1  .  2  .  1  .  .  1  2  1  .  1  1  .  1  .  .  1  5  .  .  3  4  .  1  4  3  1  1  .  4  .  3  3  1  1 #> ANAPC2           .  .   .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  1  1  1  .  .  1  .  .  .  .  1  .  .  .  1  1  .  .  1  .  . #> ANAPC4           .  .   .  1  .  .  .  2  .  .  1  1  .  .  .  .  .  1  1  .  .  .  .  2  1  .  .  1  1  .  .  .  1  .  .  .  1  .  . #> ANAPC5           4  .   4  2  5  1  1  4  .  .  1  .  1  .  2  2  1  1  4  1  1  3  3  2  .  2  1  1  .  4  1  .  3  2  .  3  4  4  6 #> ANAPC7           .  .   .  .  .  1  .  .  .  2  1  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> ANGEL1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANGEL2           1  1   .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  1  .  .  .  .  1  .  1  .  1  1  1  .  .  .  .  1  . #> ANGPT1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANGPT2           .  .   .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANGPTL1          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANGPTL2          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANGPTL3          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANGPTL4          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ANGPTL6          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANGPTL7          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANGPTL8          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANK1             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANK2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  . #> ANK3             .  .   1  .  .  1  .  .  1  .  .  .  .  .  1  .  1  .  .  1  .  .  .  .  .  .  1  .  .  .  2  .  .  .  .  .  .  .  . #> ANKEF1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKFY1           1  .   .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  . #> ANKH             .  .   .  2  .  .  2  .  2  1  .  .  1  .  .  .  3  .  .  .  1  3  .  2  .  .  .  1  1  .  .  .  .  1  2  2  .  .  1 #> ANKHD1           1  .   1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  1  .  .  1  .  1 #> ANKHD1-EIF4EBP3  1  .   1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  1  .  .  1  .  1 #> ANKIB1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKLE1           1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> ANKLE2           .  .   1  .  .  .  .  1  .  .  .  .  .  .  .  .  1  .  1  .  .  2  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  1 #> ANKMY2           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  1  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  1 #> ANKRA2           .  .   .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD10          .  1   1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  . #> ANKRD11          1  .   .  .  .  .  .  .  .  .  1  .  5  1  .  .  1  .  1  1  1  1  1  1  1  1  .  .  .  .  2  .  .  1  .  .  .  1  1 #> ANKRD12          .  .   .  .  1  .  .  .  .  .  .  .  1  .  .  .  2  .  .  .  .  1  .  .  .  .  .  .  1  1  .  .  .  2  .  .  .  .  . #> ANKRD13A         .  .   .  .  1  .  .  .  .  .  .  .  .  1  1  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  1  .  . #> ANKRD13B         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD13C         .  .   .  .  2  1  .  .  1  .  .  .  .  1  .  .  1  .  .  1  1  1  .  .  .  .  .  .  .  .  .  .  2  .  .  1  .  .  . #> ANKRD13D         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD16          .  .   .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  1  .  .  . #> ANKRD17          1  .   .  .  .  .  .  1  .  .  .  .  1  .  .  1  1  .  .  .  1  .  .  .  1  .  .  1  1  .  .  .  .  1  .  .  1  .  . #> ANKRD2           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  . #> ANKRD24          .  .   .  .  .  .  .  .  .  .  1  .  1  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  . #> ANKRD27          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ANKRD28          .  .   .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD29          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  . #> ANKRD31          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD33B         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD34B         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD34C         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD35          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD37          .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  1  .  .  .  1  .  .  1  .  .  . #> ANKRD39          .  .   .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD40          2  .   .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  2  .  .  .  .  .  1  .  .  1  .  .  .  .  1  .  1  . #> ANKRD44          .  .   .  .  .  .  .  1  1  .  .  .  1  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  .  2  .  .  .  1  .  . #> ANKRD45          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD46          1  1   .  1  .  .  1  .  .  .  .  .  .  2  2  .  .  .  .  2  .  1  .  .  2  1  .  .  .  .  .  .  .  .  1  .  .  .  1 #> ANKRD49          .  .   .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD50          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD54          .  2   .  1  .  .  1  2  1  .  1  .  .  1  .  .  1  .  .  3  1  1  .  2  .  .  .  .  .  .  1  1  1  .  .  2  1  1  2 #> ANKRD55          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD6           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD9           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKS1A           .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> ANKS1B           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKS3            .  .   1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  1  1  .  .  .  .  .  1  2  .  .  .  1  .  . #> ANKS4B           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  . #> ANKS6            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKZF1           .  1   .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  1  1 #> ANLN             1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  . #> ANO1             .  .   .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANO10            .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANO2             .  .   .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANO6             2  .   .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANO7             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANO8             .  .   .  1  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANO9             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  .  . #> ANP32A           .  1   5  1  4  2  .  5  2  2  .  4  2  .  3  6  3  4  1  4  3  1  5  2  6  .  3  .  1  2  5  1  2  2  .  6  4  3  6 #> ANP32B           9  1  14  2  5  1  1  2  1  .  2  1  2  3  1  7  2  3  2  1  .  1  6  .  1  2  2  1  3  2  2  1  1  1  3  2  3  2  5 #> ANP32D           .  1   5  1  4  2  .  5  2  2  .  4  2  .  3  6  3  4  1  4  3  1  5  2  6  .  3  .  1  2  5  1  2  2  .  6  4  3  6 #> ANP32E           1  .   7  1  6  .  3  .  .  .  .  1  .  4  .  1  1  1  3  1  .  2  1  .  .  .  .  .  1  .  .  .  1  .  .  2  2  1  5 #> ANPEP            .  .   .  .  .  .  .  .  .  .  .  .  .  .  2  1  .  .  1  4  .  .  .  .  .  .  .  .  .  3  1  .  .  .  2  .  .  1  1 #> ANTXR1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANTXR2           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  . #> ANXA1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANXA10           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANXA11           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANXA13           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANXA2            8  .   3  .  4  7  .  .  .  .  .  .  .  .  4  8  .  .  1  .  .  .  .  .  1  .  1  .  .  .  3  .  .  .  .  .  .  8  . #> ANXA3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANXA4            2  .   4  .  .  1  2  3  8  5  1  .  3  2  1  .  7  .  4  1  1  2  3  1  .  .  .  .  1  1  1  1  2  2  2  7  .  1  2 #> ANXA5            .  .   .  2  2  3  .  5  .  1  2  .  .  4  3  9  1  .  1  1  2  .  2  3  1  .  3  1  .  1  1  1  .  .  1  6  .  1  1 #> ANXA6            2  .   1  .  1  4  .  4  .  1  .  .  .  .  3  1  2  .  .  1  .  .  5  1  4  1  .  1  .  1  1  .  2  1  1  .  1  1  2 #> ANXA7            .  .   3  .  3  .  .  .  .  .  .  .  .  1  3  3  .  .  1  .  .  .  .  .  .  .  .  1  1  .  1  .  .  .  1  .  .  .  2 #> ANXA8            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  . #> ANXA8L1          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  . #> ANXA9            .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AOC1             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AOC2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP000295.1       .  .   1  .  1  1  .  .  .  .  .  1  .  .  .  .  .  .  .  1  .  .  .  1  .  .  1  .  .  .  2  2  .  .  .  .  1  .  . #> AP000311.1      15  2  15  3  8  3  4  6  3  4  1  3  3  4  3  6  6  2  5  4  5  5  4  3  3  2  3  5  3  4  5  2  2  3  3  6  .  5  6 #> AP000356.5       6  2   4  2  3  .  1  3  1  .  .  .  .  3  2  4  1  3  .  .  2  3  1  3  2  .  2  2  3  3  .  1  2  .  .  2  .  4  3 #> AP000944.5       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  1  .  .  .  . #> AP001267.5       .  .   .  .  .  .  .  .  .  .  1  2  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  2  .  .  .  .  2  1  .  1  1  .  . #> AP001273.2       .  .   .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  . #> AP001453.3       1  .   2  4  4  2  .  6  .  .  .  .  .  1  1  2  4  .  1  .  .  4  2  6  .  .  .  1  2  4  1  1  2  .  1  7  .  4  5 #> AP001781.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP001931.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP002373.1       .  .   1  1  1  1  .  1  .  1  1  .  .  2  1  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  1  .  1  .  .  .  1  .  2 #> AP002495.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP002748.5       .  .   .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  . #> AP002884.2       3  .   1  2  4  1  .  2  .  2  .  .  2  4  1  1  1  3  1  2  .  .  3  3  .  1  3  1  1  2  1  3  .  .  4  2  .  .  2 #> AP002990.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  . #> AP003419.1       .  .   1  .  1  .  .  .  1  1  .  .  .  1  1  .  .  .  .  .  .  .  1  .  .  .  .  .  3  2  1  1  2  .  1  .  .  1  1 #> AP1AR            .  .   .  .  1  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  1  .  .  .  2  .  .  .  .  .  .  .  1  1  .  .  1 #> AP1B1            .  .   .  2  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  . #> AP1G1            .  1   .  1  1  .  .  1  1  1  .  .  .  1  .  .  1  1  .  .  .  1  .  .  .  .  .  .  .  1  .  .  1  1  .  1  .  .  . #> AP1G2            .  .   .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP1M1            .  .   1  1  .  .  .  2  .  .  1  .  .  .  1  1  1  .  .  3  1  .  1  .  1  .  .  .  1  .  .  .  .  2  1  2  .  .  . #> AP1M2            .  1   .  .  .  .  .  .  .  .  1  1  .  .  .  .  1  .  1  .  1  1  1  1  .  1  2  .  2  1  .  2  1  .  .  1  .  .  . #> AP1S1            .  1   3  .  .  1  .  2  .  1  .  1  .  1  1  2  1  2  .  1  .  1  1  5  2  1  1  1  4  2  .  1  5  2  1  1  .  .  2 #> AP1S2            .  .   .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP1S3            .  .   .  .  .  1  1  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  1  .  .  .  1  .  1  .  1  .  .  .  .  .  .  .  1 #> AP2A1            .  .   1  .  .  .  .  1  .  .  .  1  .  .  1  .  1  .  .  2  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP2A2            .  .   1  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  . #> AP2B1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  . #> AP2M1            1  4   1  4  2  2  1  4  3  2  4  1  .  3  1  4  4  3  1  .  3  5  2  4  5  1  1  1  4  6  2  .  4  3  2  6  3  .  5 #> AP2S1            1  2   7  .  7  2  1  7  3  1  .  1  2  4  3  3  5  .  3  7  .  2  1  3  .  3  2  1  2  1  2  2  3  2  3  2  3  2  2 #> AP3B1            .  .   1  .  .  .  .  1  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> AP3B2            .  .   .  .  .  .  .  .  2  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1 #> AP3D1            .  1   1  2  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  1  .  1  2  .  2  1  3  1  .  1  1  .  .  .  .  . #> AP3M1            .  .   1  1  .  2  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  1  1  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  . #> AP3M2            .  .   .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP3S1            2  1   .  3  .  .  1  .  .  1  .  2  .  3  1  1  1  1  1  .  1  2  .  2  1  3  .  .  2  1  .  .  5  2  .  .  2  2  1 #> AP3S2            .  .   1  .  2  .  .  1  1  .  1  .  .  .  .  1  .  .  1  .  2  1  1  .  .  .  .  .  1  .  .  1  .  .  .  2  .  .  . #> AP4E1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP4M1            .  .   .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP4S1            .  .   1  .  1  .  .  1  .  .  1  .  .  .  .  1  .  .  .  2  .  .  .  2  .  .  .  1  .  .  .  .  .  .  .  .  .  .  . #> AP5B1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP5M1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP5S1            .  .   .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP5Z1            .  .   .  1  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> APAF1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> APBA1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  . #> APBA2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APBA3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  . #> APBB1            1  .   .  .  .  .  .  2  .  3  1  .  .  2  .  .  .  1  .  1  .  .  .  .  1  .  .  2  .  .  .  .  .  .  3  .  .  .  2 #> APBB1IP          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APBB2            1  .   .  .  .  .  .  .  .  1  1  .  .  .  .  1  1  .  .  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> APC              .  .   .  .  1  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> APC2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> APCS             .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> APEH             1  .   .  1  4  1  .  .  .  .  .  .  .  .  .  1  2  1  .  .  .  1  .  .  1  .  2  .  1  .  .  .  1  .  .  1  .  .  . #> APEX1            1  2   4  .  .  1  .  1  1  2  .  .  1  1  .  4  3  1  1  2  1  .  2  .  .  .  3  1  1  .  1  2  .  .  1  .  .  3  3 #> APEX2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APH1A            .  .   .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  . #> APH1B            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> API5             .  1   1  .  .  .  .  .  .  .  1  1  .  .  1  1  .  .  .  .  .  2  .  .  .  .  .  .  .  .  1  .  .  2  .  .  1  .  1 #> APIP             1  1   1  .  .  2  .  .  .  .  .  2  1  .  .  1  .  .  2  1  1  .  .  .  1  1  3  .  .  1  1  .  1  .  1  .  1  .  1 #> APLF             .  1   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APLP1            1 10   .  2  .  .  5 12  6  3  9  2  1  4  .  .  7  4  .  7  5  3 15  5  5  .  .  5  4  5  .  2  3  8 10  5  9  .  9 #> APLP2            4  .   1  .  5  3  1  1  .  .  3  1  3  2  2  4  .  1  2  1  1  .  .  .  1  .  1  .  1  2  1  .  2  1  .  .  1  .  1 #> APMAP            .  .   .  1  1  .  1  .  .  1  .  1  .  .  .  .  1  .  .  1  1  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  . #> APOA1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOA2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> APOBEC1          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOBEC2          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOBEC3H         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOBEC4          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOBR            .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOC1            .  2   1  .  1  .  .  .  .  .  .  .  .  .  2  .  .  .  .  3  .  .  .  .  .  .  1  .  .  .  3  2  .  .  .  .  .  .  . #> APOC3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOD             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOE             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOF             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOH             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOL1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOL2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOL3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOL4            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOL6            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOLD1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOM             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOO             2  1   .  .  .  .  .  .  .  1  1  .  .  2  1  2  .  .  .  .  2  .  .  .  .  1  .  .  1  2  1  .  2  1  .  .  .  .  1 #> APOOL            .  .   2  .  .  1  .  1  .  .  1  .  .  .  1  1  .  .  .  .  .  .  .  1  2  1  1  .  .  .  2  2  .  .  .  .  1  1  1 #> APP              2  1   4  .  2  4  3  2  1  1  2  3  3  1  3  2  1  1  1  1  1  5  2  1  5  3  3  3  .  2  .  2  6  3  1  5  6  1  6 #> APPBP2           1  .   2  .  1  .  .  1  1  .  .  .  .  .  1  1  .  .  .  .  .  .  1  .  .  .  1  1  1  2  .  .  1  1  .  .  2  2  1 #> APPL1            1  .   1  .  .  1  .  .  1  .  .  .  .  .  1  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  2  .  .  .  .  . #> APPL2            .  .   1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  1  .  1  .  .  .  .  .  1  1  .  .  .  .  .  .  1  1  1 #> APRT             4  .   1  1  .  3  .  2  .  3  .  .  3  7  2  4  2  .  1  .  .  1  1  .  1  .  3  2  1  .  2  1  .  .  .  2  1  .  2 #> APTX             .  .   .  .  .  .  1  1  2  .  .  .  2  .  .  1  .  .  .  .  1  1  .  .  .  1  .  1  1  .  .  1  1  .  .  .  .  .  . #> AQP1             .  .   .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AQP11            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AQP12A           .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AQP12B           .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AQP3             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AQP4             1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AQP7             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AQP8             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AQR              .  1   .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  1  .  .  .  1  .  .  .  1  .  .  .  .  .  1  .  1  .  .  . #> ARAF             .  .   .  .  .  1  .  1  .  1  .  .  .  .  .  .  .  .  3  1  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  1  .  .  . #> ARAP1            .  .   .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  . #> ARAP2            .  1   .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ARAP3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARC              .  .   .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  . #> ARCN1            3  1   1  1  .  .  .  1  1  1  .  .  .  .  1  .  .  .  .  1  .  3  .  2  .  .  .  .  1  .  .  .  .  .  2  .  .  .  . #> AREG             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AREL1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  . #> ARF1             4  4  12  5  3  3  3  9  1  4  3  3  3 11  4  5  3  2  4  5  4  5  4  4  5  7  3  3  4  4  7  5  6  2  3  3  5  3  8 #> ARF3             1  .   1  1  .  1  .  1  2  .  1  .  .  1  .  .  1  .  .  1  1  2  .  2  .  .  .  2  .  .  .  .  .  1  1  1  2  .  1 #> ARF4             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARF5             8  4   3  7  5 11 10 10  4  8  3 12  8 11  8  4  5 11  4 13  4 10 12  6  8  3  3  2  7  4  5 26  4  9  6  5 15  9 16 #> ARF6             2  2   4  .  .  .  .  1  .  .  1  .  .  .  1  6  2  1  .  .  .  .  .  1  .  .  1  .  .  .  2  .  .  .  .  .  .  .  . #> ARFGAP1          .  .   .  .  .  1  .  1  .  .  .  .  1  .  .  .  2  .  .  .  .  1  1  1  1  .  1  .  .  .  .  .  .  .  .  .  .  1  2 #> ARFGAP2          1  .   .  .  .  .  .  1  .  .  1  1  1  2  .  .  .  .  2  .  .  1  .  .  .  1  .  .  .  1  .  .  .  .  .  .  1  1  . #> ARFGAP3          .  1   .  .  .  .  1  .  .  1  .  1  .  .  .  .  .  1  .  .  .  2  .  .  .  5  1  .  2  .  .  1  .  2  .  .  .  .  . #> ARFGEF1          1  1   1  .  .  1  .  1  .  .  .  .  .  .  .  1  1  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  2 #> ARFGEF2          1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARFGEF3          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  . #> ARFIP1           .  .   1  .  1  .  .  .  .  .  .  .  .  .  .  3  .  .  .  .  1  .  .  .  1  .  .  1  .  .  1  .  1  .  1  .  .  .  . #> ARFIP2           1  .   .  .  .  .  1  .  1  .  .  .  .  .  1  .  .  .  1  1  1  .  5  .  1  .  .  .  .  1  .  1  1  .  .  1  .  2  1 #> ARFRP1           .  .   .  .  .  2  .  .  .  .  2  1  .  .  .  .  .  .  2  .  .  .  1  .  .  .  .  .  .  1  .  .  1  .  .  .  1  .  1 #> ARG1             .  .   .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  3  1  2  .  1  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  . #> ARG2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARGLU1           .  1   6  1  .  .  .  .  .  1  1  .  .  6  3  .  1  .  .  .  1  .  .  1  .  1  1  .  .  .  .  .  .  .  .  .  .  .  2 #> ARHGAP1          .  .   2  1  .  .  1  .  .  .  1  .  .  1  .  1  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  1  1  .  1  .  .  . #> ARHGAP10         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ARHGAP11A        .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP11B        .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP12         .  .   .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1 #> ARHGAP17         .  .   .  .  .  .  .  .  .  .  .  1  1  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  1  1  1  .  .  .  .  1  . #> ARHGAP18         .  .   .  .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  1  .  1  .  .  . #> ARHGAP19         .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> ARHGAP19-SLIT1   .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> ARHGAP20         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP21         .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  . #> ARHGAP22         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP23         .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP24         .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP26         .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP27         .  .   .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP28         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> ARHGAP29         .  .   .  .  1  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ARHGAP31         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP32         .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP33         .  .   .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP35         .  .   .  .  .  .  1  2  .  .  .  .  1  .  1  .  .  1  .  .  .  .  .  2  .  .  .  1  1  .  .  .  .  1  1  1  .  .  . #> ARHGAP36         .  .   .  .  .  .  .  6  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  3  .  .  .  .  .  .  .  .  .  . #> ARHGAP39         .  .   .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  . #> ARHGAP4          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP42         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP44         .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP5          .  .   .  .  1  .  1  2  .  .  1  .  1  .  .  .  .  .  .  .  .  .  1  1  .  .  2  2  .  .  .  .  1  .  .  .  .  .  2 #> ARHGAP6          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP8          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP9          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGDIA          2  .   6  .  3  3  2  3  2  .  .  2  2  2  1  1  1  1  2  1  1  2  4  .  4  1  1  .  1  3  1  4  .  3  .  2  4  4  3 #> ARHGDIB          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGDIG          .  .   .  .  .  .  .  .  .  .  .  1  1  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  . #> ARHGEF1          1  .   2  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1 #> ARHGEF10         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGEF10L        .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  . #> ARHGEF11         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGEF12         1  .   .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  1  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  1 #> ARHGEF15         .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGEF16         .  1   .  .  1  .  1  .  .  .  .  .  .  1  1  .  .  .  .  .  .  1  .  2  .  .  1  1  .  1  .  .  .  .  .  .  1  1  1 #> ARHGEF17         .  .   .  .  .  .  .  .  .  1  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  2  .  .  .  .  .  .  1  1  .  . #>                                                           #> A1CF             . .  .  .  .  .  . .  . .  .  . . ...... #> A3GALT2          . .  .  .  .  .  . .  . .  .  . . ...... #> AAAS             . .  .  .  .  .  . .  . .  .  . . ...... #> AACS             . .  .  .  .  .  1 1  . .  .  . 1 ...... #> AADAC            . .  .  .  .  .  . .  . .  .  . . ...... #> AAGAB            1 .  .  .  .  .  . .  . .  1  . . ...... #> AAK1             . .  .  .  .  .  . 1  . .  .  . . ...... #> AAMDC            . .  .  .  .  .  . .  . .  .  . . ...... #> AAMP             5 1  2  1  1  4  . 1  . 2  1  1 1 ...... #> AAR2             . 1  .  .  .  .  . 1  . .  .  . . ...... #> AARD             . .  .  .  .  .  . .  . 4  .  . . ...... #> AARS1            . 1  1  .  .  1  1 .  1 .  .  . . ...... #> AARS2            . .  .  .  .  .  . .  . .  .  . . ...... #> AARSD1           . .  .  .  .  .  . .  . .  .  . . ...... #> AASDH            . .  .  .  .  .  . .  . .  .  . . ...... #> AASDHPPT         . .  .  .  .  1  . .  . 1  1  . . ...... #> AASS             . .  .  .  .  .  . .  . .  .  . . ...... #> AATF             . .  .  .  .  .  . .  . .  .  . . ...... #> AATK             . .  .  .  .  .  . .  . .  .  . . ...... #> ABAT             . .  .  .  .  .  . .  . .  .  . . ...... #> ABCA1            . .  .  .  .  .  . .  . .  .  2 . ...... #> ABCA12           . .  .  .  .  .  . .  . .  .  . . ...... #> ABCA2            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCA3            . .  .  .  .  .  . .  . .  .  . 1 ...... #> ABCA4            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCA5            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCA7            1 .  .  .  .  .  . .  . .  .  . . ...... #> ABCA8            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCB1            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCB10           1 .  .  .  .  .  . .  . .  .  . . ...... #> ABCB11           . .  .  .  .  .  . .  . .  .  . . ...... #> ABCB4            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCB6            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCB7            . .  .  .  .  .  . .  1 .  .  . . ...... #> ABCB8            . .  .  .  .  .  . 1  . .  .  . . ...... #> ABCB9            1 1  .  .  .  1  . 1  . .  .  . . ...... #> ABCC1            . .  .  .  .  .  1 .  . .  .  . . ...... #> ABCC10           . .  .  .  .  .  . .  . .  .  . . ...... #> ABCC3            . .  1  .  .  .  . .  . .  .  . . ...... #> ABCC4            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCC5            1 .  .  .  1  .  . .  . .  .  . . ...... #> ABCC8            6 2  .  .  .  1  . .  . .  .  . 3 ...... #> ABCC9            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCD1            . .  .  .  .  .  1 .  . .  .  . . ...... #> ABCD3            2 1  2  1  1  .  . .  1 .  .  1 3 ...... #> ABCD4            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCE1            . 1  .  .  .  1  1 1  . .  .  . . ...... #> ABCF1            1 2  .  1  1  .  1 1  3 .  .  2 1 ...... #> ABCF2            . 1  .  .  .  .  . .  1 .  .  . . ...... #> ABCF2-H2BE1      . 1  .  .  .  .  . .  1 .  .  . . ...... #> ABCF3            . .  .  .  .  .  1 .  . .  .  1 . ...... #> ABCG1            . 1  .  .  .  .  . .  . .  .  . 1 ...... #> ABCG5            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCG8            . .  .  .  .  .  . .  . .  .  . . ...... #> ABHD10           . .  .  1  .  .  . .  . .  .  . . ...... #> ABHD11           . 1  2  .  .  .  . .  . .  .  1 . ...... #> ABHD12           . .  .  .  .  .  . .  1 1  .  2 . ...... #> ABHD13           . .  .  1  .  .  . .  1 .  .  . . ...... #> ABHD14A          . .  2  1  .  .  . .  . 1  .  . . ...... #> ABHD14A-ACY1     . .  .  .  .  .  . .  . .  .  . . ...... #> ABHD14B          . .  .  2  .  .  . .  1 .  1  . 1 ...... #> ABHD15           . .  .  .  .  .  . .  . .  .  . . ...... #> ABHD16A          2 .  .  .  .  .  2 .  . .  1  . 1 ...... #> ABHD17A          . .  1  1  .  .  . .  . .  .  . 1 ...... #> ABHD17B          . .  1  .  .  .  . .  . .  .  . . ...... #> ABHD17C          1 .  .  .  .  .  . .  1 .  1  . 1 ...... #> ABHD18           . .  .  .  1  .  . .  1 .  .  . . ...... #> ABHD2            . 2  .  .  .  .  . .  . .  .  . . ...... #> ABHD3            . .  .  .  .  .  . .  . .  .  . . ...... #> ABHD4            . .  .  .  .  .  . .  . .  .  . . ...... #> ABHD5            . 1  .  .  1  .  . .  . .  .  . . ...... #> ABHD6            . .  .  .  1  .  . .  . .  1  . . ...... #> ABHD8            . .  .  .  .  .  . .  . .  .  . . ...... #> ABI1             1 1  .  1  2  .  . .  . 1  .  . . ...... #> ABI2             . .  .  .  .  .  . .  . .  .  . 1 ...... #> ABI3             . .  .  .  .  .  . .  . .  .  . . ...... #> ABL1             . 1  .  .  .  .  . .  . .  1  . . ...... #> ABL2             . .  .  .  .  .  . .  . .  .  . . ...... #> ABLIM1           . .  .  .  .  .  . .  . .  .  . . ...... #> ABLIM2           . .  .  .  .  .  . .  . .  .  . . ...... #> ABLIM3           . .  .  .  .  .  . .  . .  .  . . ...... #> ABR              . .  .  .  .  .  . .  . .  .  1 . ...... #> ABRACL           5 2  1  .  .  2  1 1  4 2  1  3 1 ...... #> ABT1             . 1  .  .  2  .  1 .  . .  2  . . ...... #> ABTB1            1 1  .  1  .  .  1 .  . .  .  . . ...... #> ABTB2            . .  .  .  .  .  . .  . .  .  1 . ...... #> AC000120.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AC001226.2       . .  .  .  .  .  . 1  . .  .  . . ...... #> AC002094.3       1 .  .  .  .  .  . .  . .  .  . . ...... #> AC002310.4       . .  1  .  .  .  . .  . .  .  . . ...... #> AC002985.1       . .  .  .  .  .  . 2  1 .  1  . . ...... #> AC002996.1       . .  .  .  .  .  . .  1 1  1  . . ...... #> AC003005.1       1 .  .  .  .  1  . .  . .  .  . . ...... #> AC004076.1       1 .  .  .  .  1  . .  . .  .  . . ...... #> AC004556.3       . .  1  .  .  .  . .  1 .  1  . 1 ...... #> AC004593.2       . .  .  1  .  .  . .  . .  .  . . ...... #> AC004687.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC004691.2       . .  .  .  .  .  . .  . .  1  . . ...... #> AC004832.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AC004922.1       3 .  2  3  3  .  3 3  5 1  3  1 1 ...... #> AC004997.1       . .  .  .  1  .  . .  . .  .  . . ...... #> AC005041.1       . .  .  .  .  1  . .  . .  .  . . ...... #> AC005154.5       . .  .  1  1  .  . .  1 .  .  . . ...... #> AC005192.1       . 1  .  .  .  .  . .  1 .  .  . . ...... #> AC005324.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AC005520.1       2 .  .  .  .  .  . 1  . 1  .  . . ...... #> AC005670.2       . .  .  1  .  1  . .  1 .  1  . . ...... #> AC005697.1       1 .  .  .  .  .  . 1  . 1  .  . . ...... #> AC005726.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC005943.1       4 2  4  1  1  .  1 3  6 2  4  1 7 ...... #> AC006030.1       . .  .  .  .  .  . 2  . .  .  1 1 ...... #> AC006059.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC006064.6       1 .  1  .  1  .  . 1  . 3  1  5 3 ...... #> AC006254.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC007040.2       1 .  1  .  2  .  . .  . .  1  . 1 ...... #> AC007192.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC007325.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC007325.4       1 1  1  .  1  2  . 1  . .  .  1 2 ...... #> AC007326.4       1 1  1  .  1  2  . 1  . .  .  1 2 ...... #> AC007687.1       2 6  8  2  2  2  2 4  4 1  4  3 8 ...... #> AC008012.1       . 1  3  .  .  .  . .  . .  .  1 1 ...... #> AC008073.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AC008397.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC008581.2       . 2  1  .  1  .  . 2  1 1  1  . 1 ...... #> AC008695.1       . 1  .  .  .  .  . .  . .  .  . . ...... #> AC008764.1       . .  .  .  .  .  1 .  . .  .  . . ...... #> AC008770.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC009070.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC009690.1       . 1  .  2  .  1  1 .  2 1  1  1 . ...... #> AC009690.3       . .  .  .  .  .  . .  . 1  .  . . ...... #> AC009779.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AC010197.2       . .  .  .  .  .  . .  . .  1  . . ...... #> AC010319.2       . .  1  .  .  .  . .  . .  .  . . ...... #> AC010323.1       3 1  8  .  1  1  2 5  1 1  7  . 3 ...... #> AC010422.3       . 1  .  .  .  .  1 .  1 .  .  . . ...... #> AC010422.5       . 1  .  .  .  .  1 .  1 .  .  . . ...... #> AC010463.1       1 2  .  1  1  .  . 3  . .  .  . . ...... #> AC010616.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC011005.1       3 2  1  1  3  .  . 1  . 1  2  4 3 ...... #> AC011448.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC011455.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC011462.1       . .  .  2  1  1  1 .  1 .  1  1 . ...... #> AC011473.4       . .  .  .  .  .  . .  . .  .  . . ...... #> AC011479.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC011499.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC011511.4       . .  .  .  .  .  1 .  1 .  1  . . ...... #> AC012213.5       . .  .  .  .  .  . .  . .  .  . . ...... #> AC012488.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC013394.1       . .  .  .  .  .  . .  3 .  .  . . ...... #> AC013477.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC013489.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC013717.1       . 1  .  .  .  .  . .  . .  .  . . ...... #> AC015802.6       1 .  1  1  1  .  1 .  1 .  1  . . ...... #> AC016027.6       . .  .  .  .  .  . .  . .  .  . . ...... #> AC017083.3       . .  .  .  .  .  . .  . .  .  1 . ...... #> AC018362.3       . .  .  .  .  .  . .  . 1  .  . . ...... #> AC019117.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC020765.6       . .  .  .  .  .  . .  . .  1  . . ...... #> AC020907.6       . 1  2 10  3  7  2 1  . 3  3  5 . ...... #> AC021087.5       . .  1  1  1  .  . 1  . 1  .  . 1 ...... #> AC021660.3       1 .  .  .  1  .  . .  . .  .  1 . ...... #> AC022384.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC022400.5       . .  .  .  .  .  . .  . .  .  . . ...... #> AC022414.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC022826.2       . .  .  .  .  .  . .  . .  .  . 1 ...... #> AC023055.1       . .  .  .  1  1  . 1  . 1  1  . . ...... #> AC024592.3       6 4  3  3  3  .  3 1  1 1  3  . 6 ...... #> AC025165.6       . .  .  .  .  .  . .  . .  .  . . ...... #> AC026464.1       1 .  1  .  .  1  . 1  . .  .  . . ...... #> AC026464.3       . .  .  .  1  .  . .  1 .  .  . . ...... #> AC026464.4       . .  2  .  .  .  1 .  . .  .  . . ...... #> AC026464.6       . .  .  .  1  .  . .  1 .  .  . . ...... #> AC027644.4       1 .  .  .  .  .  . .  . .  .  . . ...... #> AC027796.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AC034102.2       3 2  1  .  .  1  . 1  . .  1  1 . ...... #> AC034228.3       . .  .  .  .  1  . .  . .  .  . . ...... #> AC036214.3       1 .  1  2  3  .  4 3  1 4  5  . 2 ...... #> AC037459.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC048338.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC055811.2       . .  .  .  1  .  . .  1 1  .  . . ...... #> AC055839.2       1 .  .  .  .  .  . .  . .  .  . . ...... #> AC064824.1       . .  1  .  .  .  1 .  . 1  .  . . ...... #> AC068234.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC068533.4       . 1  2  .  .  .  1 .  . 1  .  . . ...... #> AC068547.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC068580.4       . .  .  .  .  .  . .  . .  .  . . ...... #> AC068631.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC068831.6       . .  .  .  .  .  . .  . .  .  . . ...... #> AC068946.2       . .  .  2  .  .  1 .  . .  .  . . ...... #> AC069257.3       . .  .  .  .  .  . .  . 1  1  . . ...... #> AC069503.2       . .  .  .  .  .  . 1  . 2  .  1 . ...... #> AC073508.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC073612.1       . .  .  1  .  .  . .  . 1  .  1 . ...... #> AC073896.1       5 4  3  2  3  2  3 2  5 3  6  1 2 ...... #> AC074143.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC078815.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC078927.1       1 1  1  .  .  1  1 1  . 2  1  . . ...... #> AC079447.1       2 2  3  1  .  2  2 2  4 1  4  . 3 ...... #> AC079594.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC083977.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC087721.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC090004.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC090227.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC090517.4       1 .  .  1  1  1  . .  . .  .  . . ...... #> AC091057.5       . .  .  .  .  .  . .  . .  .  . . ...... #> AC091167.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC091167.7       . 1  .  .  .  .  1 .  . .  .  . 1 ...... #> AC091959.1       . 1  .  .  .  .  1 3  . .  .  . . ...... #> AC092017.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC092042.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AC092073.1       . .  .  1  .  .  1 1  . .  1  . . ...... #> AC092143.1       5 1  .  2  7  .  . 1  . 1  .  5 2 ...... #> AC092647.5       . .  2  .  2  .  . 3  1 .  2  2 . ...... #> AC092718.2       . .  1  .  .  .  . 1  . .  .  . 2 ...... #> AC092718.7       . .  1  .  .  .  . 1  . .  .  . 2 ...... #> AC092835.1       . .  .  1  .  .  . .  . .  1  . . ...... #> AC093155.3       1 .  .  .  .  .  . .  1 .  .  . . ...... #> AC093323.1      12 7  1 11  5  2  4 7  8 8  6  8 4 ...... #> AC093525.1       . .  .  .  .  .  . 1  . 3  .  1 . ...... #> AC093525.2       . .  .  .  .  .  . .  . 1  .  . . ...... #> AC093827.5       . .  .  .  .  .  . .  . .  .  . . ...... #> AC093884.1       . .  1  1  .  .  . .  . .  .  . . ...... #> AC096887.1       . .  1  .  .  .  . .  . .  .  . . ...... #> AC097634.4       . 1  3  2  3  .  1 .  . .  .  . 1 ...... #> AC104389.5       1 .  .  .  .  .  . .  . .  .  . . ...... #> AC104452.1       . 1  .  .  .  .  . .  . .  .  . . ...... #> AC104472.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AC105052.1       . .  .  6  .  .  . .  . .  .  . . ...... #> AC105052.3       . .  3  .  2  1  1 1  1 .  .  . 3 ...... #> AC106741.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC106873.8       . .  .  .  .  .  1 .  . .  .  . . ...... #> AC106886.5       . .  .  .  .  .  . .  . .  .  . . ...... #> AC108488.2       . .  1  .  .  .  . .  . .  .  . . ...... #> AC109583.1       . 1  .  .  .  .  . .  . .  .  . . ...... #> AC112128.1       . .  .  1  .  .  . .  . .  .  . . ...... #> AC116366.1       . .  .  .  .  .  . 1  . .  .  1 1 ...... #> AC117378.1       . 1  .  .  .  .  . .  . .  .  . . ...... #> AC117457.1       . .  .  .  .  .  . .  . 1  .  . . ...... #> AC119674.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC126283.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC129492.3       . .  1  1  .  1  3 1  . .  1  . . ...... #> AC131160.1       . 1  2  .  2  1  1 .  . 1  3  . . ...... #> AC136352.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AC136475.9       1 1  6  7  1  1  . 1  8 .  8 10 . ...... #> AC136616.1       . .  .  1  1  .  . .  . .  .  . . ...... #> AC137834.1       1 2  .  1  1  .  . .  . .  1  . . ...... #> AC138647.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC138696.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC139530.2       . .  .  .  .  .  . 1  . 1  1  . . ...... #> AC140504.1       . .  1  .  .  .  . .  . .  .  . . ...... #> AC142391.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC243967.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC244197.3       . .  .  1  1  .  . .  . .  .  . 1 ...... #> AC245033.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC245748.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC253536.7       . .  .  1  .  1  . .  . .  3  . 1 ...... #> ACAA1            3 3  .  1  .  1  1 .  4 .  .  1 1 ...... #> ACAA2            1 .  .  1  .  .  . .  . .  3  . . ...... #> ACACA            . .  1  .  .  .  . .  . 1  .  . . ...... #> ACACB            . .  .  .  .  .  . .  . .  .  . . ...... #> ACAD10           . .  .  .  .  .  . .  . .  .  . . ...... #> ACAD11           . .  .  .  .  .  . .  . .  .  . . ...... #> ACAD8            1 1  .  1  .  .  . .  1 .  .  . . ...... #> ACAD9            . .  .  .  .  .  . .  . .  .  . . ...... #> ACADL            . 2  2  1  .  .  . 1  . 1  1  . . ...... #> ACADM            . .  2  1  .  .  . .  . 1  2  . 1 ...... #> ACADS            . .  .  .  .  .  . .  . .  .  . 1 ...... #> ACADSB           1 .  .  .  .  .  . .  2 .  .  . 1 ...... #> ACADVL           . .  2  .  .  2  2 1  . 1  .  . 1 ...... #> ACAN             . .  .  .  .  .  . .  . .  .  . . ...... #> ACAP1            . .  .  .  .  .  . .  . .  .  . . ...... #> ACAP2            . .  .  .  1  .  . 1  . .  .  . . ...... #> ACAP3            . .  .  .  1  .  . .  . .  .  . . ...... #> ACAT1            1 1  .  .  .  .  1 .  . .  1  . . ...... #> ACAT2            . 1  .  .  .  .  . 1  . .  2  . . ...... #> ACBD3            1 2  2  .  1  1  . .  1 .  .  . . ...... #> ACBD4            . .  .  .  .  .  . .  . .  .  . . ...... #> ACBD5            . 1  1  1  .  .  . .  . .  .  . 1 ...... #> ACBD6            . 1  2  2  1  1  . 1  . 2  .  1 1 ...... #> ACBD7            . .  .  .  .  .  . .  . .  .  . . ...... #> ACCS             . .  .  .  .  .  . .  . .  .  . . ...... #> ACD              . .  1  .  .  .  . .  . .  .  2 2 ...... #> ACE2             . .  .  .  .  .  . .  . .  .  . . ...... #> ACER2            1 1  2  .  1  .  . .  2 .  2  1 . ...... #> ACER3            . .  .  .  .  .  . .  . 1  .  . . ...... #> ACIN1            1 2  2  .  .  .  . .  2 1  2  . . ...... #> ACKR3            . .  .  .  .  .  . .  . .  .  . . ...... #> ACLY             6 1  .  .  3  .  1 1  1 2  2  . 5 ...... #> ACO1             . 1  1  .  .  .  . .  1 .  .  . . ...... #> ACO2             2 2  3  1  1  2  . 1  3 2  1  1 . ...... #> ACOT1            . .  6  .  1  .  1 .  2 1  2  . . ...... #> ACOT11           . .  .  .  .  .  . .  . .  .  . . ...... #> ACOT12           . .  .  .  .  1  . .  . .  .  . . ...... #> ACOT13           2 .  1  .  .  .  1 .  1 1  2  1 1 ...... #> ACOT2            . .  6  .  1  .  1 .  2 1  2  . . ...... #> ACOT4            . .  .  .  .  .  . .  . .  .  . . ...... #> ACOT6            . .  .  .  .  .  . .  . .  .  . . ...... #> ACOT7            . .  .  .  .  .  . .  . .  .  . . ...... #> ACOT8            . .  1  .  .  .  . .  . .  .  . 1 ...... #> ACOT9            . .  .  .  .  .  . .  . .  .  . . ...... #> ACOX1            . .  .  1  .  .  . .  . .  .  . . ...... #> ACOX2            . .  .  .  .  .  . .  . .  .  . . ...... #> ACOX3            . .  .  .  .  .  . .  . .  .  . . ...... #> ACOXL            . .  .  .  .  .  . .  . .  .  . . ...... #> ACP2             . .  .  .  .  .  . .  . .  .  . . ...... #> ACP3             . .  .  .  .  .  . .  . .  .  . . ...... #> ACP5             . .  .  .  .  .  . .  . .  .  . . ...... #> ACP6             . .  .  .  1  .  1 .  . .  .  1 . ...... #> ACRBP            . .  .  .  .  .  . .  . .  .  1 . ...... #> ACSBG1           1 .  .  .  .  .  . .  . .  .  . . ...... #> ACSF2            . .  .  .  .  .  . .  . .  .  . . ...... #> ACSF3            . 1  .  .  .  .  . .  . .  .  . . ...... #> ACSL1            . .  .  .  .  .  . .  1 .  .  . . ...... #> ACSL3            . .  .  .  .  .  . .  1 .  .  . . ...... #> ACSL4            . 1  .  .  .  .  . .  . .  .  . . ...... #> ACSL5            . 1  .  .  .  .  . .  . .  1  1 . ...... #> ACSL6            . .  .  .  .  1  . .  . .  .  . . ...... #> ACSM3            . .  .  .  .  .  . .  . .  .  . . ...... #> ACSS3            . .  .  .  .  .  . .  . .  .  . . ...... #> ACTA1            . .  .  .  .  .  . .  . .  .  . . ...... #> ACTA2            . .  .  .  .  .  . .  . .  .  . . ...... #> ACTB             8 8 26 15 18 16 13 7 35 9 20 13 8 ...... #> ACTC1            . .  .  .  .  .  . .  . .  .  . . ...... #> ACTG1           10 . 21  3 13  3 17 3 30 8 24 14 4 ...... #> ACTL10           . .  .  .  .  .  . .  . .  .  . . ...... #> ACTL6A           . .  1  1  .  .  . .  2 .  .  4 1 ...... #> ACTL6B           . .  .  .  .  .  . .  . .  .  . . ...... #> ACTN1            . .  .  1  .  .  . .  3 .  .  . . ...... #> ACTN3            . .  .  .  .  .  . .  . .  .  . 3 ...... #> ACTN4            1 .  3  .  1  .  1 1  2 .  1  . 1 ...... #> ACTR10           1 .  1  .  .  .  . 2  . 1  4  . 1 ...... #> ACTR1A           . 2  1  .  .  .  . .  . .  .  1 . ...... #> ACTR1B           . 1  1  .  2  .  1 .  . 1  1  . . ...... #> ACTR2            . .  .  1  2  .  . 1  . .  .  . 1 ...... #> ACTR3            . 4  .  1  .  1  . .  . .  3  . . ...... #> ACTR3B           . .  .  .  .  .  . .  . .  .  . . ...... #> ACTR3C           . .  .  .  .  .  . .  . .  .  . . ...... #> ACTR5            . .  .  .  .  .  . 1  . 1  .  . . ...... #> ACTR6            . 1  .  .  .  .  . .  . .  .  . . ...... #> ACTR8            1 .  .  .  1  1  . .  1 .  .  . . ...... #> ACTRT3           . .  .  .  .  .  . .  . .  .  . . ...... #> ACVR1B           . .  .  .  .  .  . 1  . .  .  . . ...... #> ACVR1C           . 1  .  .  .  .  . .  . .  .  . . ...... #> ACVR2A           . .  .  .  .  .  . .  . 1  .  . . ...... #> ACVR2B           . .  1  .  .  1  . 1  . .  1  . . ...... #> ACVRL1           . .  .  .  .  .  . .  . .  .  . . ...... #> ACY1             . .  .  .  .  .  . .  . .  .  . . ...... #> ACY3             . .  .  .  .  1  . .  . .  .  . . ...... #> ACYP1            2 1  1  .  .  .  . .  . 1  1  . . ...... #> ACYP2            . .  .  .  .  .  . .  . 1  .  . . ...... #> AD000671.1       2 1  1  .  2  .  . 2  . 1  2  1 2 ...... #> ADA              . .  .  .  .  .  . .  . .  .  . . ...... #> ADAL             . .  .  .  .  .  . 1  . .  .  . . ...... #> ADAM10           2 1  .  .  1  .  . .  1 .  .  . . ...... #> ADAM11           . .  .  .  .  .  . .  1 .  .  . . ...... #> ADAM12           . .  .  .  .  .  . .  . .  .  . . ...... #> ADAM15           . .  .  .  .  .  . .  . 1  .  . . ...... #> ADAM17           . .  .  .  1  .  . .  . .  .  . . ...... #> ADAM21           . .  .  .  .  .  . .  . .  .  . . ...... #> ADAM22           . .  .  .  .  .  . .  . .  .  . . ...... #> ADAM23           . .  .  .  .  .  . .  . .  .  . . ...... #> ADAM30           . .  .  .  .  .  . .  . .  .  . . ...... #> ADAM32           . .  .  .  .  .  . .  . .  .  . . ...... #> ADAM8            . .  .  .  .  .  . .  . .  .  . . ...... #> ADAM9            . .  .  .  .  .  . .  . .  .  1 1 ...... #> ADAMTS1          . .  2  .  .  .  . .  . .  1  . . ...... #> ADAMTS10         . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS13         . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS15         1 .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS16         . .  2  .  .  .  . .  . .  .  . . ...... #> ADAMTS17         . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS18         . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS19         . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS2          . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS5          . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS6          . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS7          . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS8          . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS9          . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTSL1         . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTSL2         . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTSL4         . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTSL5         . .  .  .  .  .  . .  . .  .  . . ...... #> ADAP1            . .  .  .  .  .  . .  . .  .  . . ...... #> ADAP2            . .  .  .  .  .  . .  . .  .  . . ...... #> ADAR             . .  .  .  .  .  . .  . .  .  . . ...... #> ADARB1           . .  .  .  .  .  . .  . .  .  . . ...... #> ADAT1            . .  .  .  .  .  . .  . .  .  . . ...... #> ADAT2            . .  .  .  .  .  . .  . .  1  . . ...... #> ADCK1            . .  .  .  .  .  . .  . .  .  . . ...... #> ADCK2            . .  .  .  .  .  . .  . .  .  . . ...... #> ADCK5            1 .  .  .  .  .  . .  3 1  .  . . ...... #> ADCY1            . .  .  .  .  .  . .  . .  .  . . ...... #> ADCY2            . .  .  .  .  .  . .  . .  .  . . ...... #> ADCY3            . .  .  .  .  .  . .  . .  .  . . ...... #> ADCY5            . .  .  .  .  .  . 1  . .  .  . . ...... #> ADCY6            . .  .  .  .  .  . .  . .  .  . . ...... #> ADCY8            . .  .  .  .  .  . .  . .  .  . . ...... #> ADCY9            . .  .  .  .  .  . .  . .  .  . 1 ...... #> ADCYAP1R1        . .  .  .  .  .  . .  . .  .  . . ...... #> ADD1             . 2  .  1  1  .  . .  . .  .  . 1 ...... #> ADD2             . .  .  .  .  .  . .  . .  .  . . ...... #> ADD3             . .  .  .  .  .  . .  . .  .  . . ...... #> ADGB             1 .  .  .  .  .  . .  . .  .  . . ...... #> ADGRA1           . .  .  .  .  .  . .  . 1  .  . . ...... #> ADGRA2           . .  .  .  .  .  . .  . .  .  . . ...... #> ADGRA3           . .  .  .  .  .  . .  . .  .  1 . ...... #> ADGRB1           . .  .  .  .  .  . .  . .  .  . . ...... #> ADGRB3           . .  .  .  .  .  . .  . .  .  . . ...... #> ADGRE5           . .  .  .  .  .  . .  . .  .  . . ...... #> ADGRF5           . .  .  .  .  .  . .  . .  .  . . ...... #> ADGRG1           . .  .  .  1  .  1 .  2 .  1  1 1 ...... #> ADGRG2           . .  .  .  .  .  . .  . .  .  . . ...... #> ADGRG3           . .  .  .  .  .  . .  . .  .  . . ...... #> ADGRG6           . .  .  .  .  .  . .  1 .  .  . . ...... #> ADGRL1           . .  .  .  .  .  . .  . .  .  . . ...... #> ADGRL2           . .  .  .  .  .  . .  . .  .  . . ...... #> ADGRL3           . .  .  .  .  .  . .  . .  .  . . ...... #> ADGRV1           . .  .  .  .  .  . .  . .  .  . . ...... #> ADH1A            . .  .  .  .  .  . .  . .  .  . . ...... #> ADH1B            . .  .  .  .  .  . .  . .  .  . . ...... #> ADH1C            . .  .  .  .  .  . .  . .  .  . . ...... #> ADH5             2 .  4  1  .  .  3 2  2 .  6  2 1 ...... #> ADH7             . .  .  .  .  .  . .  . .  .  . . ...... #> ADI1             1 .  .  .  .  .  . .  . .  .  . . ...... #> ADIPOR1          2 4  .  1  2  1  1 .  3 3  2  . 1 ...... #> ADIPOR2          1 .  .  .  .  .  . .  . .  .  . . ...... #> ADK              1 2  .  .  .  .  1 .  . .  2  . . ...... #> ADM              . .  .  .  .  .  . .  . .  .  . . ...... #> ADM2             . .  .  .  .  .  . .  . .  .  . . ...... #> ADNP2            . .  .  .  .  .  . .  . .  .  . . ...... #> ADO              . .  .  .  .  .  . 2  1 .  .  . . ...... #> ADORA1           . .  .  .  .  .  . .  . .  .  . . ...... #> ADORA2A          . 2  .  .  .  1  . .  . 1  .  . . ...... #> ADORA2B          . .  .  .  .  .  . .  . .  .  . . ...... #> ADPGK            . .  .  .  .  .  1 .  1 .  2  . . ...... #> ADPRH            . .  .  1  .  .  . 1  . 1  .  1 . ...... #> ADPRM            . .  .  .  .  .  . .  . .  .  . . ...... #> ADRA2A           . .  .  .  .  .  . .  . .  .  . 1 ...... #> ADRA2C           . .  .  .  .  .  . .  . .  .  . . ...... #> ADRB1            . .  .  .  .  .  . .  . .  .  . . ...... #> ADRB2            . .  .  .  .  .  . 2  . .  .  . . ...... #> ADRM1            1 1  .  1  .  .  . 2  3 .  3  1 1 ...... #> ADSL             . .  .  .  .  .  1 .  . .  1  . . ...... #> ADSS1            . .  .  .  .  .  . .  . .  1  . . ...... #> ADSS2            . .  1  2  .  1  . .  . .  1  . . ...... #> AEBP1            . .  .  .  .  .  . .  . .  .  . . ...... #> AEBP2            . .  .  .  .  .  . .  . .  .  . . ...... #> AEN              . .  .  .  .  .  . .  . .  .  . . ...... #> AF196969.1       . .  .  1  .  .  . .  . .  1  1 . ...... #> AF241726.1       7 3  .  3  1  5  1 4  . 1  .  1 5 ...... #> AFAP1            2 .  .  .  .  .  . 1  . .  .  . . ...... #> AFAP1L1          . .  .  .  .  .  . .  . .  .  . . ...... #> AFAP1L2          . .  .  .  .  .  . .  . .  .  . . ...... #> AFF1             . .  .  .  .  .  . 1  . .  .  . . ...... #> AFF2             . .  .  .  .  .  . .  . .  .  . . ...... #> AFF3             . .  .  .  .  .  . .  . .  .  . . ...... #> AFF4             . .  .  .  1  .  2 .  . 1  1  . . ...... #> AFG3L2           . .  .  .  .  .  . .  . 2  .  . . ...... #> AFM              . .  1  .  .  .  . .  . .  .  . . ...... #> AFP              . .  .  .  .  .  . .  . .  .  . . ...... #> AFTPH            1 .  .  .  .  .  . .  . .  .  . . ...... #> AGA              . 1  1  .  .  .  . 1  1 .  .  . . ...... #> AGAP1            . .  .  .  .  1  . .  . .  .  . 1 ...... #> AGAP3            1 .  .  1  .  .  . 1  . .  .  . . ...... #> AGBL3            . .  .  .  .  .  . .  . .  .  . . ...... #> AGBL4            . .  .  .  .  .  . .  . .  .  . . ...... #> AGBL5            . .  .  .  1  .  . .  . .  .  . . ...... #> AGER             . .  .  .  .  .  . .  . .  .  . . ...... #> AGFG1            1 .  .  1  1  .  . .  . .  .  . . ...... #> AGFG2            . .  .  .  .  .  2 .  . 1  .  . . ...... #> AGGF1            . 2  1  .  1  .  . 2  1 1  1  . 1 ...... #> AGK              . .  .  .  1  .  . .  . .  .  . . ...... #> AGL              . .  .  .  .  .  . .  . .  .  . . ...... #> AGMAT            . .  .  .  .  .  . .  . .  .  . . ...... #> AGMO             . .  .  .  .  .  . .  . .  .  . . ...... #> AGO1             . .  .  .  1  .  1 1  . .  .  . . ...... #> AGO2             . .  .  .  1  .  . .  . .  .  . 1 ...... #> AGO3             . .  .  .  .  .  . .  . .  .  . . ...... #> AGO4             . .  .  .  .  .  . .  . .  .  . . ...... #> AGPAT1           . .  .  .  1  1  . .  . .  .  . 1 ...... #> AGPAT2           . .  .  .  .  .  . 2  . .  .  . 1 ...... #> AGPAT3           . .  1  1  .  .  . .  . .  1  . . ...... #> AGPAT4           . 1  .  .  1  1  . 2  1 .  .  1 . ...... #> AGPAT5           . .  .  .  1  .  . .  . .  1  . 1 ...... #> AGPS             . .  .  .  .  .  . .  . .  .  . . ...... #> AGR2             . .  .  .  .  .  . .  . .  .  . . ...... #> AGRN             . 1  .  .  1  .  . .  . .  .  . . ...... #> AGRP             . .  .  .  .  .  . .  . .  .  . . ...... #> AGT              . .  .  .  .  .  . .  . .  .  . 2 ...... #> AGTPBP1          . .  .  .  .  .  . .  . .  .  . . ...... #> AGTR1            . .  .  .  .  .  . .  . .  .  . . ...... #> AGTRAP           . .  .  .  1  .  . .  . 1  .  . 1 ...... #> AGXT             . .  .  .  .  .  . .  . .  .  . . ...... #> AHCTF1           . .  .  .  .  .  . .  . .  .  . . ...... #> AHCY             . .  .  .  .  .  . .  1 .  .  . . ...... #> AHCYL1           1 .  .  1  .  .  2 2  1 1  .  . 2 ...... #> AHCYL2           1 .  1  .  .  .  . .  . .  .  . 1 ...... #> AHDC1            . .  .  .  .  .  . .  . .  .  . 1 ...... #> AHI1             . .  1  .  1  .  1 .  . 3  .  . . ...... #> AHNAK            . .  .  .  .  .  . .  . .  .  . . ...... #> AHNAK2           . .  .  .  .  .  . .  . .  .  . . ...... #> AHR              . .  .  .  .  .  . .  . .  .  . . ...... #> AHSA1            . 2  .  1  .  1  2 2  3 2  1  . 3 ...... #> AHSG             . .  .  .  .  .  . .  . .  .  . . ...... #> AIDA             . .  1  .  .  .  . 1  . .  .  . . ...... #> AIF1             . .  .  .  .  .  . .  . .  .  . . ...... #> AIF1L            . .  .  .  .  .  . .  . .  .  . . ...... #> AIFM1            . .  .  .  .  2  . .  . .  .  . . ...... #> AIFM2            . .  .  .  .  .  1 .  . .  .  . . ...... #> AIFM3            . .  .  .  .  .  . .  . .  .  . . ...... #> AIG1             . .  1  .  .  1  2 1  2 .  .  . . ...... #> AIMP1            . 1  1  .  3  .  . 1  2 .  3  2 . ...... #> AIMP2            1 .  1  .  .  .  . 1  1 .  .  . . ...... #> AIP              . 1  .  .  .  .  1 1  1 .  .  . 2 ...... #> AIPL1            . .  .  .  .  .  . .  . .  .  . . ...... #> AIRE             . .  .  .  .  .  . .  . .  .  . . ...... #> AJAP1            . .  .  .  .  .  . .  . .  .  . . ...... #> AJUBA            . .  .  .  .  .  . .  . .  .  . . ...... #> AK1              . .  .  .  .  1  2 .  . .  .  . . ...... #> AK2              . .  .  1  .  .  2 1  1 1  1  1 . ...... #> AK3              . 1  .  .  .  .  . .  . .  .  . . ...... #> AK4              . .  .  .  .  .  . .  . .  .  . . ...... #> AK5              . .  .  .  .  .  . .  . .  .  . . ...... #> AK7              . .  .  .  .  .  . .  . .  .  . . ...... #> AK8              . .  .  1  .  .  . .  . .  .  . . ...... #> AKAP1            . .  .  .  .  .  . .  . .  .  . . ...... #> AKAP10           . .  .  .  .  .  . .  . .  .  . . ...... #> AKAP11           . .  .  1  .  .  . 1  . .  .  . . ...... #> AKAP12           . .  .  .  .  .  . .  . .  .  . . ...... #> AKAP13           . .  .  1  .  1  . .  1 .  .  1 . ...... #> AKAP5            . .  .  .  .  .  . .  . .  .  . . ...... #> AKAP7            . 1  .  .  .  .  . .  . 1  .  . . ...... #> AKAP8            . .  .  .  .  .  . 1  . 1  .  . . ...... #> AKAP8L           2 .  .  .  2  1  3 1  . .  .  1 . ...... #> AKAP9            1 .  1  .  3  3  1 3  2 1  .  . . ...... #> AKIP1            . .  1  .  .  .  . 1  . .  1  . . ...... #> AKIRIN1          1 1  .  1  1  .  1 .  1 1  1  . 1 ...... #> AKIRIN2          1 1  2  1  1  1  4 2  1 3  .  2 3 ...... #> AKNA             . .  .  .  .  .  . .  . .  .  . . ...... #> AKR1A1           3 1  4  4  6  2  4 3  5 4  9  5 1 ...... #> AKR1B1           . .  .  .  .  .  . .  . .  .  1 . ...... #> AKR1B10          . .  .  .  .  .  . .  . .  .  . . ...... #> AKR1E2           . 1  .  1  .  .  . 1  . 1  .  . 1 ...... #> AKR7L            . .  1  .  .  1  1 1  1 2  2  2 . ...... #> AKT1             . .  .  1  .  1  . 1  1 1  .  . . ...... #> AKT1S1           1 .  1  2  2  .  . 3  . 1  2  . . ...... #> AKT2             . 1  .  .  .  .  . .  . .  .  . . ...... #> AKT3             . .  .  .  1  .  . .  . .  .  . . ...... #> AKTIP            . .  .  .  .  .  . .  . .  .  . 1 ...... #> AL033529.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL035461.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AL049629.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AL049634.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AL049697.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL049779.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL049844.3       1 1  .  .  1  .  . .  . 1  .  . . ...... #> AL096711.2       . .  .  .  .  .  . 1  . .  .  . . ...... #> AL110118.1       . .  1  .  .  .  . .  . .  1  . . ...... #> AL117348.2       . 3  .  1  .  .  4 1  . 1  1  . 3 ...... #> AL132671.2       . 2  .  .  .  .  . .  2 .  .  . . ...... #> AL132780.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AL133352.1       4 1  2  3  1  1  3 4  6 3  6  . 9 ...... #> AL133500.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL136295.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL136295.3       . 1  1  1  .  .  . .  . .  .  . 2 ...... #> AL136295.4       . .  .  .  .  .  . .  . .  .  . . ...... #> AL136295.5       . 1  .  .  .  .  . 1  . .  .  . . ...... #> AL138752.2       . .  .  .  .  .  . 1  . 1  .  . . ...... #> AL139142.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AL139260.3       . .  2  .  .  .  . 1  . .  .  1 2 ...... #> AL157392.5       . .  .  .  .  1  1 .  1 .  1  . . ...... #> AL157935.2       . 1  .  .  .  .  . .  . .  .  . . ...... #> AL159163.1       1 2  1  .  .  3  . .  5 .  2  . . ...... #> AL160269.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL162231.3       . .  .  1  .  .  . 1  . .  .  . . ...... #> AL162417.1       . .  .  .  .  .  1 .  . .  .  . 1 ...... #> AL162596.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL353671.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL355312.5       . .  .  .  .  .  . .  . .  .  . . ...... #> AL355315.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL355916.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AL357075.4       1 .  .  1  .  .  . .  . .  .  1 . ...... #> AL357673.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL358113.1       . .  .  .  1  .  . .  . .  1  . . ...... #> AL358472.6       . .  .  .  .  .  . .  . .  .  . . ...... #> AL358472.7       2 .  .  1  3  .  . 3  1 4  1  1 1 ...... #> AL359736.1       1 .  .  .  .  .  . .  1 .  .  . . ...... #> AL360181.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AL365205.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL391628.1       2 .  .  .  .  .  . .  . .  .  . 1 ...... #> AL445524.2       1 .  .  .  .  .  1 .  . 1  .  . . ...... #> AL445685.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AL451062.2       . .  .  1  .  .  . 1  . .  .  . . ...... #> AL451136.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL512506.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AL512785.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AL590132.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL592183.1       1 1  1  2  1  .  . .  . 2  2  . 2 ...... #> AL603832.3       1 .  2  .  .  .  . 1  . .  1  1 . ...... #> AL645941.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AL662899.1       . .  .  .  .  .  . 1  . .  .  . . ...... #> AL662899.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AL669918.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL807752.7       . .  .  .  .  .  . .  . .  .  . . ...... #> AL845331.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL928654.3       . .  .  .  .  1  . .  . .  .  1 . ...... #> ALAD             1 .  1  .  .  1  . .  . .  .  . . ...... #> ALAS1            . .  .  1  .  .  1 1  . .  1  . . ...... #> ALB              . .  .  .  .  .  . .  . .  .  . . ...... #> ALCAM            . .  .  .  .  1  1 .  . .  1  . . ...... #> ALDH16A1         . .  .  .  .  .  1 .  . .  .  . . ...... #> ALDH18A1         . .  1  .  .  .  . .  . .  .  . . ...... #> ALDH1A1          . .  1  .  .  .  . .  . .  .  . . ...... #> ALDH1A2          . .  .  .  .  .  . .  . .  .  . . ...... #> ALDH1A3          . .  .  .  .  .  . .  . .  .  . . ...... #> ALDH1B1          . .  1  .  .  .  . .  5 .  .  . 1 ...... #> ALDH1L1          . .  .  .  .  .  . .  . .  .  . . ...... #> ALDH2            . .  .  .  .  .  . .  1 1  1  . . ...... #> ALDH3B1          . .  .  .  .  .  . .  . .  .  . . ...... #> ALDH3B2          . .  .  .  .  .  . .  . .  .  . . ...... #> ALDH4A1          . .  .  .  .  .  . .  . .  .  . . ...... #> ALDH5A1          1 .  .  .  .  .  . .  . .  2  . 1 ...... #> ALDH6A1          . .  .  .  .  .  . .  . .  .  . . ...... #> ALDH7A1          . 1  .  .  .  .  . .  1 1  1  . 1 ...... #> ALDH9A1          . .  .  .  .  .  1 .  . .  .  . . ...... #> ALDOA            3 4  1  4  3  1  3 5  4 6  5  1 6 ...... #> ALDOB            . .  .  .  .  .  . .  . .  .  . . ...... #> ALDOC            . .  3  .  .  .  1 .  . .  .  . 1 ...... #> ALG1             . .  .  .  .  .  . .  . .  .  . 1 ...... #> ALG10            . .  .  .  .  .  . .  . .  .  . . ...... #> ALG10B           . .  .  .  .  .  . .  . .  .  . . ...... #> ALG11            . .  .  .  .  .  . .  . .  .  . . ...... #> ALG12            . .  .  .  .  .  . .  . .  .  . . ...... #> ALG13            . .  .  .  .  .  . .  . .  .  . . ...... #> ALG14            1 .  1  .  .  .  . .  . .  .  . . ...... #> ALG1L            . .  .  .  .  .  . .  . .  .  . 1 ...... #> ALG1L2           . .  .  .  .  .  . .  . .  .  . 1 ...... #> ALG2             . .  .  .  .  .  . .  . .  .  . . ...... #> ALG3             . .  1  .  .  .  . 1  1 .  .  . 1 ...... #> ALG5             . .  .  .  1  .  . 1  1 .  .  1 . ...... #> ALG6             . .  .  .  .  .  . .  . .  .  . . ...... #> ALG8             . .  .  .  .  .  1 .  . .  .  . . ...... #> ALG9             . .  .  .  .  .  1 .  . .  .  . . ...... #> ALKBH1           1 .  .  .  .  .  . .  . .  1  . . ...... #> ALKBH2           . .  .  .  .  .  . .  . .  1  . 1 ...... #> ALKBH3           . .  .  .  .  .  . 1  . .  .  . . ...... #> ALKBH4           . .  .  .  .  .  1 .  . .  .  . . ...... #> ALKBH5           1 2  .  .  2  .  . 1  2 .  1  . . ...... #> ALKBH6           . 2  1  1  .  .  1 1  . 1  .  . 1 ...... #> ALKBH7           . .  1  .  .  1  2 .  . 1  .  . . ...... #> ALKBH8           . .  .  .  1  .  . .  . .  .  . . ...... #> ALLC             . .  .  .  .  .  . .  . .  .  . . ...... #> ALMS1            . .  .  .  .  .  . .  . .  .  . . ...... #> ALOX12           . .  .  .  .  .  . .  . .  1  . . ...... #> ALOX15B          . .  .  .  .  .  . .  . .  .  . . ...... #> ALOX5            . .  .  .  .  .  . .  . .  .  . . ...... #> ALOX5AP          . .  .  .  .  .  . .  . .  .  . . ...... #> ALOXE3           . .  .  .  .  .  . .  . .  .  . . ...... #> ALPK1            . .  .  .  .  .  . .  . .  .  . . ...... #> ALPK3            . .  .  .  .  .  . .  . .  .  . . ...... #> ALPL             . .  .  .  .  .  . .  . .  .  . . ...... #> ALS2             . .  .  .  .  .  . .  . .  .  . . ...... #> ALS2CL           . .  .  .  .  .  . .  . .  .  . . ...... #> ALX3             . .  .  .  .  .  . .  . .  .  . . ...... #> ALYREF           . 2  .  .  .  1  2 2  . .  2  . . ...... #> AMACR            . .  .  .  .  .  . .  . .  .  . . ...... #> AMBP             2 .  5  1  .  .  . 4 10 .  7  . . ...... #> AMBRA1           . .  .  .  .  .  . .  . .  .  . . ...... #> AMD1             1 .  .  .  .  .  . .  . .  1  . . ...... #> AMDHD1           . .  .  .  .  .  . .  . .  .  . . ...... #> AMDHD2           . .  .  .  .  .  . 1  . 3  .  1 . ...... #> AMER1            . .  .  .  .  .  1 .  2 2  .  . . ...... #> AMER2            . .  .  .  .  .  . .  . .  .  . . ...... #> AMER3            . .  .  .  .  .  . .  . .  .  . . ...... #> AMFR             2 1  .  .  .  .  . .  . 1  .  1 . ...... #> AMH              . .  .  .  .  .  . .  . .  .  . . ...... #> AMHR2            . .  .  .  .  .  . .  . .  .  . . ...... #> AMIGO1           . .  .  .  .  .  . .  . .  .  . . ...... #> AMIGO2           . 2  .  .  .  .  1 .  . 1  .  . . ...... #> AMIGO3           . .  .  .  .  .  . .  . .  .  . . ...... #> AMMECR1          . .  .  .  .  .  . .  . .  1  . 1 ...... #> AMMECR1L         . .  .  1  1  1  . .  . 1  2  1 . ...... #> AMN              . .  .  .  .  .  . .  . .  .  . . ...... #> AMN1             . 1  .  1  .  .  . .  1 2  .  . . ...... #> AMOT             . .  .  .  .  .  . .  . .  .  . . ...... #> AMOTL1           . .  .  .  .  .  . .  1 .  .  . . ...... #> AMOTL2           . .  1  .  1  .  . .  1 .  1  . . ...... #> AMPD2            . .  .  .  .  .  . .  . .  .  . . ...... #> AMPH             . .  .  .  .  .  . .  . .  .  . . ...... #> AMT              . 1  .  .  .  .  . .  . .  .  . . ...... #> AMZ1             . .  .  .  .  .  . .  . .  .  . . ...... #> AMZ2             . .  1  .  .  .  . .  . 1  .  . . ...... #> ANAPC1           . .  .  .  .  .  . .  . 1  1  . . ...... #> ANAPC10          . .  2  .  .  .  . .  . .  2  1 1 ...... #> ANAPC13          1 .  4  1  .  .  . .  1 2  3  . 1 ...... #> ANAPC15          . .  .  .  .  .  . .  . .  1  . . ...... #> ANAPC16          1 3  1  2  2  .  1 .  1 2  .  1 3 ...... #> ANAPC2           . .  .  .  .  .  1 .  . .  1  . 1 ...... #> ANAPC4           . 2  .  1  .  .  1 1  . .  .  . . ...... #> ANAPC5           1 4  3  1  .  1  . .  2 1  7  2 3 ...... #> ANAPC7           . .  1  1  .  .  . .  . .  .  . . ...... #> ANGEL1           . .  .  .  .  .  . .  . .  .  . . ...... #> ANGEL2           . .  1  .  1  2  . .  1 .  1  . . ...... #> ANGPT1           . .  .  .  .  .  . .  . .  .  . . ...... #> ANGPT2           . .  .  .  .  .  . .  . .  .  . . ...... #> ANGPTL1          . .  .  .  .  .  . .  . .  1  . . ...... #> ANGPTL2          . .  .  .  .  .  . .  . .  .  . . ...... #> ANGPTL3          . .  .  .  .  .  . .  . .  .  . . ...... #> ANGPTL4          . .  .  .  .  .  . .  . .  .  . . ...... #> ANGPTL6          . .  .  .  .  .  . .  . .  .  . . ...... #> ANGPTL7          . .  .  .  .  .  . .  . .  .  . . ...... #> ANGPTL8          . .  .  .  .  .  . .  . .  .  . . ...... #> ANK1             . .  .  .  .  .  . .  . .  .  . . ...... #> ANK2             . .  .  1  .  .  . .  . .  .  . . ...... #> ANK3             . .  1  .  .  .  . .  . .  .  . . ...... #> ANKEF1           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKFY1           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKH             2 1  .  .  .  2  1 1  . 2  1  1 1 ...... #> ANKHD1           . .  .  .  .  .  . .  1 .  .  . . ...... #> ANKHD1-EIF4EBP3  . .  .  .  .  .  . .  1 .  .  . . ...... #> ANKIB1           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKLE1           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKLE2           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKMY2           1 .  .  .  .  .  1 .  . 1  2  . . ...... #> ANKRA2           . .  .  .  .  .  1 .  . .  .  1 . ...... #> ANKRD1           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD10          . 1  .  1  .  .  . .  . .  .  1 . ...... #> ANKRD11          . 2  .  .  .  .  . .  2 .  .  1 1 ...... #> ANKRD12          . 1  .  1  .  .  . 2  1 .  .  . 1 ...... #> ANKRD13A         1 .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD13B         . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD13C         . 1  .  .  .  .  . .  . .  .  . . ...... #> ANKRD13D         . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD16          . .  .  .  .  .  . 1  . .  .  1 . ...... #> ANKRD17          . .  .  .  2  1  1 .  . .  .  1 . ...... #> ANKRD2           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD24          . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD27          . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD28          . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD29          . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD31          . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD33B         . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD34B         . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD34C         . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD35          . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD37          1 .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD39          . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD40          . .  .  .  .  .  . 1  . .  .  . . ...... #> ANKRD44          1 2  .  .  1  1  . .  . .  .  1 . ...... #> ANKRD45          . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD46          . .  .  .  .  .  . .  1 .  1  . . ...... #> ANKRD49          . .  .  .  1  .  . .  . .  .  . . ...... #> ANKRD50          . .  .  .  .  .  . 1  . .  .  . . ...... #> ANKRD54          2 1  .  .  1  .  . .  . 1  .  2 2 ...... #> ANKRD55          . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD6           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD9           . .  .  .  .  .  . .  1 .  .  . . ...... #> ANKS1A           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKS1B           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKS3            . 1  .  1  .  .  . .  . .  .  . . ...... #> ANKS4B           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKS6            . .  .  .  .  .  . .  1 .  .  . . ...... #> ANKZF1           . .  .  .  .  .  . .  . .  .  1 . ...... #> ANLN             . .  .  .  .  .  . .  . .  .  . . ...... #> ANO1             . .  .  .  .  .  . .  . .  .  . . ...... #> ANO10            . .  .  1  .  .  . .  . .  .  . . ...... #> ANO2             . .  .  .  .  .  . .  . .  .  . . ...... #> ANO6             . .  1  .  .  .  . .  . .  .  . . ...... #> ANO7             . .  .  .  .  .  . .  . .  .  . . ...... #> ANO8             . .  .  .  .  .  . .  . .  .  1 . ...... #> ANO9             . .  .  .  .  .  . .  . .  .  . . ...... #> ANP32A           1 2  2  2  3  .  3 2  3 3  7  2 . ...... #> ANP32B           2 1  4  2  .  1  2 6  2 1  2  1 1 ...... #> ANP32D           1 2  2  2  3  .  3 2  3 3  7  2 . ...... #> ANP32E           . 1  1  .  .  .  . 1  2 .  3  . 1 ...... #> ANPEP            . 1  1  .  .  .  . .  . .  2  . . ...... #> ANTXR1           . .  .  .  .  .  . .  . .  .  . . ...... #> ANTXR2           . .  .  .  .  .  . .  . .  .  . . ...... #> ANXA1            . .  .  .  .  .  . .  . .  .  . . ...... #> ANXA10           . .  .  .  .  .  . .  . .  .  . . ...... #> ANXA11           . .  .  .  .  .  . .  . .  .  . . ...... #> ANXA13           . .  .  .  .  .  . .  . .  .  . . ...... #> ANXA2            . .  3  .  .  .  . .  1 .  3  . . ...... #> ANXA3            . .  .  .  .  .  . .  . .  .  . . ...... #> ANXA4            5 4  2  .  1  1  5 1  1 6  1  2 6 ...... #> ANXA5            1 2  1  2  .  1  . .  . 2  .  . . ...... #> ANXA6            1 .  2  3  1  2  . .  1 .  3  . . ...... #> ANXA7            . 2  1  1  1  .  1 .  1 .  .  . 1 ...... #> ANXA8            . .  .  .  .  .  . .  . .  .  . . ...... #> ANXA8L1          . .  .  .  .  .  . .  . .  .  . . ...... #> ANXA9            . .  .  .  .  .  . .  . .  .  . . ...... #> AOC1             . .  .  .  .  .  . .  . .  .  . . ...... #> AOC2             . .  .  .  .  .  . .  . .  .  . . ...... #> AP000295.1       . .  3  .  .  .  1 .  . 1  2  . . ...... #> AP000311.1       2 3  7  5  4  .  5 3  3 3  4  1 4 ...... #> AP000356.5       1 .  .  .  1  .  . 3  2 1  6  . 2 ...... #> AP000944.5       . .  .  .  .  .  . .  . .  .  . . ...... #> AP001267.5       1 .  .  .  2  .  . 2  . .  .  2 . ...... #> AP001273.2       1 .  .  .  .  .  1 .  . 1  1  . . ...... #> AP001453.3       9 1  1  1  .  1  2 1  . .  4  . 6 ...... #> AP001781.2       . .  .  .  .  .  1 .  . .  .  . . ...... #> AP001931.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AP002373.1       1 1  .  .  .  2  . 2  1 1  2  1 . ...... #> AP002495.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AP002748.5       . .  .  .  .  .  . .  . 1  .  . . ...... #> AP002884.2       3 4  2  .  .  1  1 3  1 1  5  5 2 ...... #> AP002990.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AP003419.1       . 1  .  2  .  .  1 2  . 1  .  1 . ...... #> AP1AR            1 .  .  .  .  .  . .  . .  .  . . ...... #> AP1B1            . .  1  1  .  .  . .  . .  .  . . ...... #> AP1G1            1 .  .  .  .  .  . .  1 1  .  . 1 ...... #> AP1G2            . .  .  .  .  .  . .  . .  .  . . ...... #> AP1M1            . .  .  .  1  1  . .  . 1  .  4 . ...... #> AP1M2            . 1  1  2  .  .  1 1  1 1  1  1 . ...... #> AP1S1            3 1  2  .  1  .  . 2  . 1  3  . 1 ...... #> AP1S2            . .  .  .  .  .  . .  . .  .  . 1 ...... #> AP1S3            . .  .  .  .  .  . 1  . .  .  . . ...... #> AP2A1            1 .  1  2  .  1  2 .  . .  .  . . ...... #> AP2A2            . .  1  .  .  .  . .  1 .  .  . . ...... #> AP2B1            . .  .  1  .  .  . .  1 .  .  . . ...... #> AP2M1            . .  4  2  4  2  4 2  . 4  3  4 2 ...... #> AP2S1            3 1  3  2  3  1  1 3  1 3  4  1 3 ...... #> AP3B1            . .  .  .  1  .  . 1  2 .  .  . . ...... #> AP3B2            1 .  .  .  .  .  1 .  . .  .  . . ...... #> AP3D1            . .  .  .  .  .  1 .  . 2  .  . . ...... #> AP3M1            1 .  1  .  .  .  1 .  . .  1  . . ...... #> AP3M2            . .  .  .  .  .  1 .  . .  .  . . ...... #> AP3S1            3 2  .  2  .  .  1 1  . .  .  1 2 ...... #> AP3S2            . .  .  2  1  1  . .  1 .  .  1 1 ...... #> AP4E1            . .  .  .  .  .  . .  . .  .  . . ...... #> AP4M1            . .  .  .  .  .  . .  . .  .  . . ...... #> AP4S1            . .  1  .  .  .  . 2  . .  .  . . ...... #> AP5B1            . .  .  .  .  .  . .  . .  .  . . ...... #> AP5M1            . .  .  .  .  .  . .  . .  .  . . ...... #> AP5S1            . .  .  .  .  .  1 .  . 1  .  . . ...... #> AP5Z1            . .  .  .  1  .  . .  . .  .  . . ...... #> APAF1            . .  .  .  .  .  . .  . .  .  . . ...... #> APBA1            . .  .  .  .  .  1 .  . .  .  . . ...... #> APBA2            . .  .  .  .  .  . .  . .  .  . . ...... #> APBA3            . .  .  .  .  .  . .  1 1  .  . . ...... #> APBB1            1 .  .  .  1  .  1 .  . 1  .  . 2 ...... #> APBB1IP          . .  .  .  .  .  . .  . .  .  . . ...... #> APBB2            . .  .  1  3  .  . 1  . .  .  . . ...... #> APC              . .  .  .  .  .  . .  . .  .  . . ...... #> APC2             . .  .  .  .  .  . .  . .  .  . . ...... #> APCS             . .  .  .  .  .  . .  . .  .  . . ...... #> APEH             . .  .  .  .  .  1 .  . .  .  1 . ...... #> APEX1            . .  3  .  .  .  . 1  1 1  2  1 . ...... #> APEX2            . .  .  .  .  .  . .  . .  .  . . ...... #> APH1A            . .  1  1  .  .  . .  . .  .  . . ...... #> APH1B            . .  .  .  .  .  . .  . .  .  . . ...... #> API5             . .  .  .  1  .  . .  . .  .  . . ...... #> APIP             . 1  1  .  .  .  1 .  . .  2  . 1 ...... #> APLF             . .  .  .  .  .  . .  . .  .  . . ...... #> APLP1            5 3  . 11  5  7 10 5  . 3  . 12 8 ...... #> APLP2            . .  1  .  .  1  . .  2 2  .  1 . ...... #> APMAP            . .  .  .  1  .  . .  . .  .  . . ...... #> APOA1            . .  .  .  .  .  . .  . .  .  . . ...... #> APOA2            1 .  .  .  .  .  . .  . .  .  . 1 ...... #> APOBEC1          . .  .  .  .  .  . .  . .  .  . . ...... #> APOBEC2          . .  .  .  .  .  . .  . .  .  . . ...... #> APOBEC3H         . .  .  .  .  .  . .  . .  .  . . ...... #> APOBEC4          . .  .  .  .  .  . .  . .  .  . . ...... #> APOBR            . .  .  .  .  .  . .  . .  .  . . ...... #> APOC1            . .  .  .  .  .  . .  2 .  2  . . ...... #> APOC3            . .  .  .  .  .  . .  . .  .  . . ...... #> APOD             . .  .  .  .  .  . .  . .  .  . . ...... #> APOE             . .  .  .  .  .  . .  . .  .  . . ...... #> APOF             . .  .  .  .  .  . .  . .  .  . . ...... #> APOH             . .  .  .  .  .  . .  . .  .  . . ...... #> APOL1            . .  .  .  .  .  . .  . .  .  . . ...... #> APOL2            . .  .  .  .  .  . .  . .  .  . . ...... #> APOL3            . .  .  .  .  .  . .  . .  .  . . ...... #> APOL4            . .  .  .  .  .  . .  . .  .  . . ...... #> APOL6            . .  .  .  .  .  . .  . .  .  . . ...... #> APOLD1           . .  .  .  .  .  . .  . .  .  . . ...... #> APOM             . .  .  .  .  .  . .  . .  .  . . ...... #> APOO             . .  .  1  .  .  . 2  . 1  .  1 1 ...... #> APOOL            . 2  1  2  .  .  . .  1 .  1  . . ...... #> APP              1 4  .  1  .  .  2 2  2 4  2  1 3 ...... #> APPBP2           . 2  .  1  .  .  2 .  . .  2  . 1 ...... #> APPL1            . .  .  .  1  .  . .  . .  .  . . ...... #> APPL2            . 1  .  .  .  .  1 .  . .  1  . . ...... #> APRT             1 3  3  .  2  1  . 2  2 3  2  . 2 ...... #> APTX             . .  .  .  .  .  1 2  . .  .  . . ...... #> AQP1             . .  .  .  .  .  . .  . .  1  . . ...... #> AQP11            . .  .  .  .  .  . .  . .  .  . 1 ...... #> AQP12A           . .  .  .  .  .  . .  . .  .  . . ...... #> AQP12B           . .  .  .  .  .  . .  . .  .  . . ...... #> AQP3             . .  .  .  .  .  . .  . .  .  . . ...... #> AQP4             . .  .  .  .  .  . .  . .  .  . . ...... #> AQP7             . .  .  .  .  .  . .  . .  .  . . ...... #> AQP8             . .  .  .  .  .  . .  . .  .  . . ...... #> AQR              . .  1  .  .  .  . .  . .  .  . . ...... #> ARAF             . .  .  .  .  .  . .  . .  .  . . ...... #> ARAP1            . .  1  .  .  .  . .  . .  .  . . ...... #> ARAP2            . .  .  .  .  .  . 1  . .  .  . . ...... #> ARAP3            . .  .  .  .  .  . .  . .  .  . . ...... #> ARC              . 1  .  .  .  .  . .  . .  .  . . ...... #> ARCN1            1 .  .  .  .  .  1 1  . .  .  . 1 ...... #> AREG             . .  .  .  .  .  . .  . 1  .  . . ...... #> AREL1            . 1  .  .  .  .  . .  . .  .  . . ...... #> ARF1             3 3  3  9  4  2  1 7  5 4  5  1 2 ...... #> ARF3             . .  2  .  .  .  1 .  1 .  1  . 1 ...... #> ARF4             . .  .  .  .  .  . .  . .  .  . . ...... #> ARF5             6 7  2  8  6  4 13 4  7 8  9 11 5 ...... #> ARF6             . .  5  .  .  .  . 1  1 .  .  . . ...... #> ARFGAP1          . .  .  .  1  .  . .  . .  1  . . ...... #> ARFGAP2          . .  1  .  1  .  1 .  . .  2  . . ...... #> ARFGAP3          . 1  .  .  .  .  . .  . .  .  . . ...... #> ARFGEF1          1 .  .  .  .  .  . .  . .  .  1 1 ...... #> ARFGEF2          . 1  .  .  .  .  . .  . 1  .  . . ...... #> ARFGEF3          . .  .  .  .  .  . .  . .  .  . . ...... #> ARFIP1           . .  1  .  .  .  . .  . .  .  . 1 ...... #> ARFIP2           . 2  .  1  .  .  . .  . .  1  . . ...... #> ARFRP1           . 1  1  .  .  .  . .  . 1  1  . . ...... #> ARG1             . .  .  .  .  .  . .  . .  1  . . ...... #> ARG2             . .  .  .  .  .  . .  . .  .  . . ...... #> ARGLU1           . 1  1  1  .  .  2 1  . 2  .  1 . ...... #> ARHGAP1          1 1  .  .  .  1  . .  . .  .  . . ...... #> ARHGAP10         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP11A        . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP11B        . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP12         . .  .  .  .  .  . .  . .  .  . 1 ...... #> ARHGAP17         . .  .  .  .  .  . .  1 .  .  . . ...... #> ARHGAP18         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP19         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP19-SLIT1   . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP20         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP21         . .  .  .  .  .  . .  1 .  .  . . ...... #> ARHGAP22         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP23         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP24         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP26         . .  1  .  .  .  . .  . .  .  . . ...... #> ARHGAP27         . .  .  .  .  .  . .  . .  1  . . ...... #> ARHGAP28         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP29         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP31         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP32         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP33         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP35         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP36         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP39         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP4          . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP42         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP44         . .  .  .  .  .  . .  . .  .  . 1 ...... #> ARHGAP5          . .  3  1  .  .  1 .  . 1  .  . . ...... #> ARHGAP6          . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP8          . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP9          . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGDIA          2 5  1  .  1  .  1 3  1 2  4  1 4 ...... #> ARHGDIB          . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGDIG          1 .  .  .  .  .  . .  . .  .  . . ...... #> ARHGEF1          . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGEF10         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGEF10L        . .  .  .  .  .  . .  1 .  .  . . ...... #> ARHGEF11         1 1  .  .  .  .  . .  . .  .  . . ...... #> ARHGEF12         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGEF15         . .  .  .  .  .  1 .  . .  .  . . ...... #> ARHGEF16         . .  .  1  1  .  . .  . .  2  . . ...... #> ARHGEF17         . .  .  .  .  .  1 .  . .  .  . . ...... #>  #>  .............................. #>  ........suppressing 948 columns and 11697 rows in show(); maybe adjust 'options(max.print= *, width = *)' #>  .............................. #>   [[ suppressing 52 column names ‘CAGCCGAAGCGATATA’, ‘AGTGTCATCGCCGTGA’, ‘GATGAAAAGTTGTAGA’ ... ]] #>                                                                                                                                      #> UBR3          1 .  . .  . . .  1 1  1 .  .  .  1  .  .  . . . . . 1 1 . . . . 1  .  . .  .  . . . . . .  1 2 . 1 .  . . 1  .  1 .  . #> UBR4          . .  . .  1 . .  . 1  . .  .  .  1  .  .  . . . . . 1 1 1 . . . .  .  . .  .  . . . . . 1  2 . 1 . .  . . .  .  . .  . #> UBR5          1 .  . 1  1 1 .  1 .  . 2  .  .  1  .  .  . 1 . 1 1 . . . . . . 1  .  . .  .  . . . . . 3  1 . . 2 .  . . .  .  . .  . #> UBR7          . .  1 .  . . 1  1 .  1 1  .  1  .  .  1  . . . . . . . . . 1 . 1  .  . .  1  . . . . . .  . . . 1 .  . . .  .  . .  1 #> UBTD1         . .  . .  . . .  . .  . 1  .  .  .  1  .  . . . . . . . . . . 1 .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UBTD2         1 .  1 .  . . .  . .  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UBTF          . .  1 .  1 . 1  . .  . 1  1  .  .  .  .  . . 1 1 . . 1 . . . . .  .  . 1  2  . 1 . . . 1  . 4 3 . .  . . 2  .  . .  . #> UBXN1         . 3  2 2  3 . 1  3 .  . 2  3  1  .  1  4  2 1 1 2 1 1 1 1 3 1 1 2  2  1 2  1  5 3 3 2 1 3  3 . 3 2 1  2 1 3  5  1 1  5 #> UBXN10        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UBXN11        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . 1 .  1 . . . .  . . .  .  . .  . #> UBXN2A        . 1  . .  . . .  . .  . 1  .  .  1  2  .  . 1 . . . . . . . . . .  .  . .  .  . . . . . .  1 . . . 1  1 . 1  .  . .  . #> UBXN2B        . .  1 .  . . 1  . .  . .  1  .  1  .  2  1 . . . . . . . . 1 . .  1  . .  .  . 1 . . . .  . . . . .  . . .  .  . .  . #> UBXN4         2 3  3 3  3 . .  3 1  1 4  2  2  5  2  3  6 . . 3 4 5 . 4 1 1 . 2  3  2 1  .  1 . 2 5 1 .  2 1 . 3 2  . 2 1  5  1 .  2 #> UBXN6         . 2  . 1  1 . 2  . 1  . .  3  .  1  .  .  1 . . . 2 . 1 2 1 . . .  2  2 .  1  2 . 4 . . 2  . 2 . 1 .  1 1 .  .  . 1  1 #> UBXN7         1 .  . 1  . . .  1 .  . .  .  .  .  .  .  1 . . 1 . . . . . . . .  1  . .  1  . . . . . .  . . . . .  . . .  .  . .  . #> UBXN8         . .  . .  1 1 .  1 .  . .  .  .  .  .  .  . 2 . . . . . . . . . .  .  1 .  .  . . 1 1 . .  . . 1 . .  . . .  .  . 1  1 #> UCHL1         . .  . 1  . . 1  . .  1 .  .  .  3  .  .  . 1 . 2 1 . 1 3 . . . .  .  . .  .  2 . . . . .  1 1 . . .  1 . .  .  . .  . #> UCHL3         . .  3 .  3 . 2  1 .  . .  .  1  .  .  .  . . . 1 2 . . . 1 1 . .  .  2 .  2  . . . 2 . .  . . 1 . .  1 1 .  2  1 1  . #> UCHL5         2 .  . .  1 . .  . .  . .  .  .  .  .  1  . . 1 2 1 1 2 . . . . .  .  1 .  .  1 . . . . .  1 . . 1 1  . . .  .  . .  . #> UCK1          . .  . .  1 . .  . .  . .  1  .  .  1  .  2 . . . . . 1 . . . 1 1  1  . .  .  . . . . . .  1 . . . .  . . 1  .  1 .  . #> UCK2          . 2  2 .  . . .  1 .  . .  .  1  .  .  .  1 . . . . . . . . . . .  .  1 .  .  . . . . 1 1  . . . . .  . . .  .  . .  . #> UCKL1         1 .  1 .  . . .  . .  . .  1  .  .  .  1  1 . 1 . . . . . . . . 2  .  1 .  .  . 1 . 2 . .  . . . . .  . . .  2  . .  . #> UCN3          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . 1  1  . .  .  . . . . . .  1 1 . . .  . . .  .  . .  . #> UCP2          1 1  . 2  . 1 1  3 1  2 1  2  .  1  .  1  . 1 . . 1 . 1 . . 1 4 3  1  . .  1  . 3 2 1 . .  3 1 . 3 2  . . 1  1  2 1  1 #> UEVLD         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  1 . . . . .  . . . . .  . . .  .  . .  . #> UFC1          4 .  . 2  3 4 1  3 .  . .  1  1  .  2  4  3 . 2 . 3 2 2 5 . 1 . .  2  6 1  2  . 1 . 2 . 1  4 4 1 2 .  . 2 2  .  1 .  3 #> UFL1          . .  . .  . . .  . 2  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . 1  .  . . . . . 1  . 1 . 1 .  . 1 .  .  . 1  . #> UFM1          2 1  1 1  . 1 .  3 .  2 1  2  1  .  .  1  2 . . 1 . 4 2 3 . 1 . 1  2  2 2  .  1 . . 3 . 1  2 2 . . .  1 . .  1  . 1  . #> UFSP1         . .  . .  . . .  . .  . .  .  .  .  .  .  1 . . . . . . . . . . .  1  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UFSP2         . .  . .  1 . .  . .  . 1  .  .  2  .  .  1 . 1 . 1 . 1 . 1 . . .  .  1 .  .  . . 1 . . .  1 1 . . .  . . .  1  . 1  . #> UGCG          . .  . .  . . .  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UGDH          . .  . .  . . .  . .  . .  .  .  1  .  .  1 . 1 . 1 . . . . . . 1  .  1 1  .  . . . . . 1  . . . . .  . . 1  .  . .  . #> UGGT1         . .  . .  1 1 .  . .  . .  .  1  .  .  2  . . . . . 3 . . . . . 1  .  . .  .  . . . . . .  1 2 . . .  . . .  .  . .  . #> UGGT2         . .  . .  . . .  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  .  1 .  .  1 . . . . .  . . 1 . .  . . .  .  . .  . #> UGP2          2 .  1 .  2 1 .  1 2  . 1  .  .  2  .  2  . . . 1 . . 1 . 1 1 . 1  2  . .  1  . . 2 . . .  1 1 . . .  . . 1  .  . .  . #> UGT1A6        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UGT8          . .  1 .  1 . .  . .  . .  .  .  .  1  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UHMK1         . .  . 1  . . .  1 1  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . .  .  . 1 . . . .  . . . . .  . . .  .  . .  . #> UHRF1         1 .  . .  . . .  . .  . .  1  .  .  .  3  . . 1 . . . . . . . . .  .  . .  .  . 1 . . . .  . . . . .  . . .  .  . .  1 #> UHRF1BP1      1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . . .  .  1 .  . #> UHRF1BP1L     . .  . .  . 1 .  1 .  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . 1  .  . . . . . .  1 . . . .  1 . .  .  . .  . #> UHRF2         1 .  1 .  . . .  . .  . .  1  .  .  .  .  . . . . . . . . . . . .  .  . .  .  1 . . . . .  . . 1 . .  . . .  .  1 .  . #> UIMC1         . .  . .  . . .  2 .  . 1  .  .  .  .  .  . . . 1 . . . . . . . 1  1  . .  .  . . . . . .  . . . . 1  . . 1  .  . .  1 #> ULK1          . .  . 1  . 1 .  . .  . .  .  .  1  .  .  . . . . . 1 . . 1 . 1 .  .  . .  .  . . . . . 1  1 . . . .  . . .  .  . .  1 #> ULK2          . .  1 .  . . .  . .  . .  .  .  .  .  .  . 1 . . . . . . . . . .  .  . .  1  . . 1 . . .  . . . . 1  . . .  .  . .  . #> ULK3          . .  . .  . . .  . .  . .  .  .  1  .  .  1 . . . . . . . . . . .  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> ULK4          . .  . .  . . .  . .  . 1  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  1  . .  . #> UMODL1        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UMPS          1 .  1 .  . . .  . 3  . 1  .  .  .  .  2  1 . 2 1 . 2 . . . . . 1  2  . 3  .  1 3 1 1 1 1  . 1 . . .  . . .  .  . 1  . #> UNC119        . .  3 .  . . .  1 1  . .  .  .  .  1  2  . . . . . 1 . . . . 1 1  .  1 1  .  . . . . . .  1 . . 2 .  . . .  .  . 1  . #> UNC119B       . .  . .  . . 1  . 1  . .  1  .  .  .  .  . . . . . . . . 1 2 . .  .  . .  .  . . . . . .  . . . . .  . . .  1  1 .  . #> UNC13A        . .  . .  . . .  . .  1 .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UNC13B        . .  . .  . . .  1 .  . .  .  1  .  .  .  . . . . . 1 . . . . . .  .  . .  .  1 . . . . .  . . . . .  1 . .  .  . .  . #> UNC13C        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UNC13D        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UNC45A        . .  . .  . . .  . .  . 1  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . 1 .  . . . . .  . . .  .  . .  . #> UNC50         1 1  1 2  . 2 .  1 .  2 1  .  .  1  2  .  2 . . . 2 . 1 1 . 1 . .  2  2 1  3  . . 1 3 . .  1 2 . . .  . 2 1  .  . 3  1 #> UNC5A         . .  . .  . . .  . 1  . .  .  1  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UNC5B         . .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UNC5C         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  . #> UNC5D         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UNC79         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UNC80         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 1 . . . .  .  . .  .  1 . . 1 . .  . . . . .  . . .  .  . .  . #> UNC93B1       . .  . .  1 . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . 1 . . .  . . . . .  . . 1  .  . .  1 #> UNG           . .  1 .  . 1 .  1 .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . 1  .  . . . . . .  . . . . .  . . .  .  . .  . #> UNK           . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . 1 . .  . . .  .  . .  . #> UNKL          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> UPB1          . .  . .  . . .  . 1  1 .  .  .  .  .  .  . 1 . 1 . . . . . . . .  .  1 .  .  . . . . . .  1 . . . .  . 1 .  1  . 1  . #> UPF1          . .  1 .  . . .  . .  . .  .  .  .  .  1  . 1 1 . . . . 1 . . . .  1  . .  1  1 . . 2 . .  . . . . .  . . .  .  1 .  1 #> UPF2          . 1  . 1  1 . .  . .  2 .  .  .  .  .  1  . . . 1 . . 2 . . . . 1  .  1 .  .  . . . 1 . 1  . . 1 . .  . . 1  .  . .  . #> UPF3A         . 2  . .  1 . 1  1 .  . .  .  1  .  1  2  1 1 1 . . . . 1 . . . .  .  . .  1  . . . 1 1 .  . . . 1 .  . 1 .  .  . 1  3 #> UPF3B         . .  1 1  1 . .  1 1  . .  .  .  2  .  2  . . . . . . . . . . 2 .  1  . 3  .  2 . . 1 . .  1 1 . . .  1 . 2  1  . .  . #> UPK1A         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UPK1B         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UPK3A         . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UPK3B         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UPK3BL1       1 1  . .  . . .  . .  . .  .  1  .  1  .  . 3 . . . 1 1 . . 1 . .  .  1 .  1  . . . . . .  . . . . 6  . . .  .  . .  . #> UPK3BL2       1 1  . .  . . .  . .  . .  .  1  .  1  .  . 3 . . . 1 1 . . 1 . .  .  1 .  1  . . . . . .  . . . . 6  . . .  .  . .  . #> UPP1          . 2  . .  . . .  . .  . .  .  .  .  .  .  1 . . 1 . . 2 . . 2 . .  2  2 .  .  . . 2 . 4 .  . . . . .  . 1 .  .  . 1  . #> UPP2          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UPRT          . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UQCC1         . .  . .  . . .  . .  . .  .  1  .  .  .  . . 1 . . . . . . . . .  .  . .  .  . . . . . .  . . . 1 1  . . .  .  . .  . #> UQCC2         1 1  2 .  . 1 1  6 2  1 1  .  3  4  1  2  4 2 . 2 2 1 5 3 1 2 1 1  7  6 .  .  1 1 3 2 1 1  5 3 1 . 4  . 2 2  5  . .  6 #> UQCC3         1 .  1 2  . 1 3  . 2  . .  1  1  1  1  1  1 . 2 . 2 . . 3 . . 3 2  3  1 1  1  3 . 1 1 1 .  1 1 1 2 1  1 . 1  1  1 .  . #> UQCR10        9 3  4 1  3 1 4  9 1  3 1  1  3  4  4  6  4 5 1 3 3 7 1 3 2 3 1 2  6  5 4  2  1 2 4 1 3 1  7 2 5 3 1  2 4 5  2  2 5  6 #> UQCR11        1 1  5 5  4 4 1  6 1  . 2  .  1 12  2  3  7 2 3 4 1 5 1 7 1 2 2 3  6  3 3  2  3 2 5 4 . 1  6 4 2 4 1  1 . 1  3  6 2  4 #> UQCRB        12 3 12 2  6 5 3 11 5  2 3  1  6 11  1  7  9 3 4 7 2 5 5 9 2 3 4 3  6  8 4  5  3 3 7 9 2 6 11 9 6 6 4  2 . 3  2  2 4 11 #> UQCRC1        6 1  9 1  3 3 3  6 3  1 1  5  2  2  4  4  6 . 2 . 2 4 2 3 2 . 2 4  5  5 1  .  2 . . 1 3 .  2 2 1 1 3  1 . 2  3  5 2  4 #> UQCRC2        1 2  7 1  2 1 1  5 .  1 1  4  3  1  4  3  2 1 1 2 2 1 1 1 3 2 5 .  2  3 3  4  2 2 1 5 4 2  5 1 2 2 1  1 1 1  1  . 5  4 #> UQCRFS1       7 1  6 1  6 3 2  2 1  3 1  3  2  .  3  3  4 2 2 3 3 4 3 1 5 1 3 6  5  2 3  6  . 1 4 1 2 3  3 4 3 4 1  4 . 4  2  4 2  3 #> UQCRH         5 5  4 6  5 4 4  5 .  2 1  3  3  1  2  2  4 4 4 1 8 4 . 6 4 1 4 1  3  6 1  1  5 4 4 2 1 3  7 3 1 4 4  2 3 .  3  3 3  5 #> UQCRHL        5 5  4 6  5 4 4  5 .  2 1  3  3  1  2  2  4 4 4 1 8 4 . 6 4 1 4 1  3  6 1  1  5 4 4 2 1 3  7 3 1 4 4  2 3 .  3  3 3  5 #> UQCRQ         2 .  2 1  2 . 1  4 2  . 1  .  .  3  1  3  3 . 1 2 4 5 2 6 . . 1 .  2  1 2  1  4 2 . 2 2 5  1 3 3 1 2  1 2 .  3  . 1  2 #> URB1          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> URB2          . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> URGCP         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . 1 . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> URI1          1 .  . .  1 1 .  . 2  . .  .  .  .  3  1  . . . 2 1 . . . 2 . . .  .  . .  .  . . . . . 1  . . 1 . 1  . . .  .  1 .  1 #> URM1          2 .  1 .  . 1 1  2 .  . .  .  .  1  .  1  . 1 1 . . 2 . . . 1 . .  .  1 .  .  2 . . . . .  1 3 . 1 .  . . 1  .  1 .  . #> UROD          . 1  . .  3 . 2  1 1  . .  .  .  1  .  .  . . 1 . . . . 1 1 1 1 .  2  1 1  .  1 . . . . .  . 1 . . .  . . 1  2  1 2  . #> UROS          . .  1 .  . . 1  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  1  . .  .  . . . 1 . .  2 1 . . .  . . 1  .  1 .  1 #> USB1          . .  1 1  2 . .  . .  1 .  .  .  1  .  .  . 2 . . . . . 1 . 1 . .  .  . 1  .  . . 1 . 1 1  . 1 . 1 1  . . .  .  . .  . #> USE1          2 3  1 3  4 . 2  2 .  2 4  3  1  1  1  4  1 1 1 1 . 2 2 7 . 2 . 2  2  2 2  1  2 1 7 1 2 1  2 4 2 4 1  1 3 1  3  1 2  1 #> USF1          . .  1 .  . . .  1 .  1 .  .  .  .  2  1  . 3 . 1 . . . . 1 1 1 1  .  . .  1  . . . . 1 .  . . . . .  . . .  .  . .  1 #> USF2          . 3  3 .  . . .  1 .  2 .  2  .  1  .  1  4 1 1 . 1 1 1 . . . . .  1  1 1  1  4 1 . 2 . 1  3 2 . 1 .  1 2 1  .  . .  2 #> USF3          . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . 1 . .  .  . .  .  . . . . . .  . 1 . . .  . . .  .  . 1  . #> USH1C         . .  . .  . . .  3 .  . .  1  .  .  .  .  1 . . . . . . 1 . . . 2  .  . .  .  . 1 1 2 . .  5 . 2 . .  2 3 1  .  . 1  . #> USH1G         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USH2A         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USHBP1        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USO1          . .  . .  1 . .  1 .  2 .  .  .  .  .  .  . . . . 1 . . . . . 2 .  2  1 1  .  . . . . . .  2 2 1 1 .  . . .  .  . .  1 #> USP1          . 1  1 .  . . .  1 .  1 .  .  .  .  .  3  1 . . . . . 1 . . . . .  .  . .  .  . . . . . 2  . . 1 . .  1 . .  .  . .  . #> USP10         1 .  3 .  . . .  . .  . .  1  .  .  2  1  . . 1 . . . . . . . . .  .  1 3  1  . . . . . .  . . . . .  . . .  .  . .  1 #> USP11         1 .  . .  . . .  . .  . .  1  .  .  .  .  . . 1 . 1 . . . . . . .  .  2 .  .  . . 1 . . .  . . . 1 .  . . .  .  1 .  . #> USP12         . .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USP13         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USP14         . .  3 2  1 . 1  2 .  . 1  .  1  .  1  .  . . 1 . . . . 1 . . . 1  .  2 .  .  . 1 . . . .  1 . . . .  . . 1  2  . .  . #> USP15         . .  . .  . . .  . 1  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . 1  1 #> USP16         . .  . .  . . .  1 .  . .  1  .  .  .  1  . . 1 1 . . 1 . 1 . . .  2  . .  .  . . . . . .  3 . . 1 .  . . .  .  . .  . #> USP18         . .  . 1  . . .  . 1  1 .  .  .  .  .  .  . . . . . . . 1 . . . 1  .  . .  .  1 . . . . .  1 . . . .  . 1 .  1  . .  . #> USP19         3 .  . .  . . 2  2 .  1 .  .  1  .  .  .  . . 2 . . . . . . . . .  .  . .  .  . . . . . .  1 . . 1 .  . . .  .  1 .  . #> USP2          . .  1 .  . . .  . .  1 .  .  .  .  .  .  . . . . . . . . . . . .  .  . 1  .  . . . . . .  . . . . 1  . . .  .  . .  . #> USP20         . .  . 1  . . .  . .  1 .  .  .  .  .  .  . . . . . . 1 1 . . . .  .  . .  1  . . . . . .  . . . . .  . . .  .  . .  . #> USP21         . .  . .  . . .  . .  . .  .  1  .  .  1  1 . . . . . . . . . . .  .  1 1  .  . . . . . .  . . . . .  . . .  1  . .  . #> USP22         . .  1 .  . . .  . 1  . .  .  .  1  .  .  2 . . . . . . 1 2 . . .  2  . .  .  . . . . . 1  . . . . .  2 . .  .  1 .  . #> USP24         . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . 1 . . 1 . . 1 . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USP25         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . 1 .  . . . . .  . . .  .  . .  . #> USP27X        . .  . .  . . .  . 1  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . 2 . . . .  . . . . .  . . .  .  . .  . #> USP28         . .  2 .  . . .  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> USP29         . 1  . .  . 1 .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> USP3          . .  1 .  . . .  . 1  . 1  .  .  .  .  1  . 2 . 1 . 1 . . . . . .  1  1 .  1  . . . . . 1  1 . . . .  . . .  1  1 .  1 #> USP30         . .  . .  . . .  . .  . .  .  .  .  .  .  . 1 . . . . . . . . . .  1  . .  .  1 . . . . .  . 1 . . .  . . .  1  1 .  . #> USP31         . .  1 .  . . .  . .  . .  .  1  .  .  .  . . . . . 2 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USP32         . .  . .  . . .  . .  . 1  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  1 #> USP33         . .  . .  . . .  1 1  . 1  .  1  .  .  .  1 . . . . . . . 1 . . .  .  . .  .  2 . 1 . . .  2 . . . 1  . 1 .  .  . .  . #> USP34         1 .  3 1  . . 2  . 1  . 1  .  2  .  1  .  . . . . 1 . 2 . 1 . 1 2  .  . .  .  3 . . 1 . 2  4 3 . 1 2  1 . 1  .  1 .  . #> USP35         . .  . .  . . .  . .  . .  .  .  .  .  .  1 . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . 1  . . .  .  . .  . #> USP36         . .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  1 . . . .  . . .  2  . .  . #> USP37         . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  1 . 1  .  . 1  . #> USP38         . .  1 .  . . .  . .  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . .  .  1 . . . . .  . . . . .  . . .  .  . .  . #> USP39         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  1 . . . . .  . . . . .  . 1 .  .  . .  . #> USP4          1 .  . .  1 . 1  . .  . .  .  2  .  .  .  . . . 1 . . . 2 . . 1 1  .  1 .  .  . . . . . .  . . . . 1  . . .  1  . .  1 #> USP40         . .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  2 .  . #> USP41         . .  . 1  . . .  . 1  1 .  .  .  .  .  .  . . . . . . . 1 . . . 1  .  . .  .  1 . . . . .  1 . . . .  . 1 .  1  . .  . #> USP42         . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . 1  .  . 1  .  . . . . . .  . . . . .  . . .  .  . .  1 #> USP43         . .  . .  . 1 .  . .  . .  1  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USP44         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USP45         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  1 . . . .  . . .  .  . .  . #> USP46         . .  1 .  . . .  . .  1 .  .  .  .  1  .  . . 1 . . . . . . 1 2 .  1  . .  .  . 1 . . . .  . . . 1 .  . . .  .  . .  . #> USP47         . .  . .  . . .  . 2  . .  .  .  1  1  .  . . . 1 . . . . . . . 1  1  1 1  .  1 . . 1 . .  . . . . .  . . 1  .  . .  . #> USP48         . .  . .  . 1 .  . .  1 .  .  .  .  1  .  . . . 1 . . . 1 . . . .  .  . .  .  . . . . . 1  1 . . . 1  . . .  .  . .  1 #> USP49         1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USP5          1 .  . .  2 1 .  . 1  . .  .  .  1  1  1  1 . . . 1 2 1 . 1 . . .  .  . 1  .  . . . . . .  3 . . . .  . . .  .  2 .  1 #> USP50         . .  1 .  . 1 1  1 .  1 .  .  .  .  .  .  . . . . . . . . . . . .  1  . 1  .  . . . 1 1 .  . . . . .  . . .  .  . .  . #> USP51         . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . 1 . . 1 . . . .  .  . .  .  . . . . . .  . 1 . . .  . . .  .  . .  . #> USP53         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USP54         . .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . .  .  . . . . . 1  . . . 1 .  . . .  .  . .  . #> USP6          . .  . .  . . .  . .  . 1  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  1 #> USP6NL        1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USP7          1 .  . .  . . 1  . .  . .  .  .  .  .  .  . . 1 1 . . . . . . . .  1  . .  1  . . . 1 . .  . 1 . . .  . . 1  1  . .  . #> USP8          . .  . .  . 1 1  . 1  1 .  .  .  .  2  .  1 . . . . . . 1 . . 1 .  .  . 1  .  . . . . . .  1 . . . 1  1 . .  .  . .  . #> USP9X         . .  1 .  . . .  . .  . .  .  .  1  .  .  . . . . . 2 . . . . . .  .  . .  .  . . . . . .  . . 1 . .  . . .  1  . 1  . #> USPL1         . .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . 1  .  . . . . . .  . . . . .  . . .  .  . 1  1 #> UTP14A        . .  . .  1 . .  . .  . .  .  .  .  1  .  . . 1 . . . . . . . 1 .  .  . .  2  . . . . 1 .  . . . . .  . . .  .  1 .  . #> UTP14C        . .  . .  1 . .  . .  . .  .  .  .  1  .  . . 1 . . . . . . . 1 .  .  . .  2  . . . . 1 .  . . . . .  . . .  .  1 .  . #> UTP15         . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UTP18         1 .  . 1  . . 1  1 .  1 .  .  .  .  .  .  1 1 1 . . . . . . . 1 2  2  1 .  .  . 1 . . . .  . 2 . . .  . . 1  .  . 1  . #> UTP20         1 .  . .  . . .  . 1  . .  .  .  .  .  2  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UTP23         . .  2 .  . 1 .  . .  . .  1  .  .  2  1  1 . . . . . . . . . . .  .  . .  .  . 1 . . . .  . . . . .  . . .  .  . .  . #> UTP3          1 .  . 1  1 . 3  1 .  . .  4  .  1  1  3  1 . . . . 1 1 . 2 1 . .  1  . 2  1  . . . . 1 1  2 . 1 1 2  . 1 2  .  2 .  1 #> UTP6          . .  . 1  . . .  . 1  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  1  . . . . . .  . . . . .  . . .  .  . .  . #> UTRN          . .  1 .  . . .  . .  . .  .  .  1  .  .  1 . . 1 . . . . . . 1 1  .  . .  .  . . . 1 . .  . . . . .  . . .  .  1 .  . #> UTY           . .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UVRAG         . .  . .  . 1 .  . .  . .  .  .  2  .  .  . . . . . 1 . . . . . .  .  1 1  .  . . . . . .  . . . . .  . . .  .  . .  . #> UVSSA         . .  . .  . . .  . .  . .  .  .  .  1  2  . . . . 1 . . . . . . .  .  . .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> UXS1          1 .  . .  . . .  . .  . .  .  .  .  .  2  . . . . 1 . 1 . 1 . . .  .  . .  .  1 . . . . .  1 . . 2 .  . . .  .  . .  . #> UXT           . .  2 .  . . .  . .  1 2  .  .  .  .  .  1 . . . . . . 1 . 1 1 .  .  . .  .  . . 1 2 1 1  2 . . . .  . . .  .  . .  . #> VAC14         1 .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VAMP1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> VAMP2         . 1  . .  . 1 .  . 2  2 1  1  .  .  .  1  . . . 3 . 1 2 3 1 1 2 .  2  . .  1  2 1 2 . . .  2 . . 1 1  . 1 3  1  . .  1 #> VAMP3         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> VAMP4         . .  1 .  . . .  . .  . .  .  .  .  .  .  2 . . . 1 . . . . . . .  .  . .  .  . . 1 . . .  . . . . .  . . .  .  . .  . #> VAMP5         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VAMP8         4 .  3 1  . 4 2  . 4  1 4  2  4  .  7  4  . . 3 1 2 2 . 1 1 1 2 3  4  1 4  3  1 . 1 3 2 8  1 5 3 . 1  . 1 1  4  4 4  6 #> VANGL1        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . 2  .  1 . . . . 1  . . . . .  . . .  .  . .  . #> VANGL2        . 1  . .  . . .  . .  . .  .  1  .  .  .  . 1 . . . . . . . . . 1  .  . .  .  . . . 1 1 .  . . . . .  . . .  .  . .  . #> VAPA          6 2  4 2  3 1 1  5 3  3 2  .  .  3  3  3  2 2 3 2 . 3 . 4 1 . 2 .  5  1 .  .  2 1 2 3 1 2  4 2 . 1 .  1 1 3  3  3 1  2 #> VAPB          2 2  2 2  . . .  1 1  1 .  .  .  .  2  .  . . 1 . 1 2 3 1 1 3 1 .  1  . .  1  1 1 . 2 1 2  1 . 5 . 1  . 1 .  .  . 1  1 #> VARS1         . .  4 .  . . .  . .  2 .  .  .  .  1  1  . . 1 . . . 1 . . . . .  .  . .  .  1 . . 1 2 2  1 1 . . .  . . .  1  . .  3 #> VARS2         . .  1 .  . . .  . .  . 1  .  .  .  .  .  . . . . . . . . . . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VASH1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VASH2         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VASP          1 2  2 .  1 1 .  3 .  1 6  3  2  2  1  2  . 2 1 2 2 . . 1 8 4 2 3  3  . 2  3  5 1 1 1 2 1  1 2 . 3 2  1 1 2  .  1 1  3 #> VAT1          1 .  . .  1 . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  1 1  .  . 1 . 1 . 1  . . . . .  . . .  .  1 .  1 #> VAT1L         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . 1  .  . .  .  . . 1 . . .  1 . . . .  1 . .  .  . .  . #> VAV1          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VAV2          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VAV3          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VBP1          1 3  2 .  1 1 .  . 3  1 3  1  1  2  1  1  1 . 1 3 2 1 4 2 2 3 . .  3  3 .  2  1 3 1 1 . 1  4 1 3 1 4  3 . 2  1  2 2  2 #> VCAM1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VCAN          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VCL           . .  . .  . 1 .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VCP           3 2  3 3  4 2 2  3 .  1 2  5  3  2  1  4  5 4 . 2 1 8 2 6 6 1 3 2  3  3 1  4  3 3 1 8 4 4  9 3 1 1 3  1 2 1  3  3 1  3 #> VCPIP1        . .  . .  . . .  . .  1 1  .  .  .  .  .  . 1 1 . . 1 . . . . . .  2  1 .  .  . . . . . .  . . 1 . 1  . . 1  .  . .  1 #> VCPKMT        2 .  . 1  . . .  2 .  . .  .  .  .  1  .  . . 1 . . . . . . . . .  .  . .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> VDAC1         4 1  5 2  2 2 .  2 2  4 1  .  1  .  2  5  3 . 1 1 2 . . . 1 1 1 1  1  1 .  .  1 2 . 2 . 3  . . 3 3 1  1 1 4  2  2 1  4 #> VDAC2         3 2  7 3  4 . .  6 1  3 3  2  3  5  2  5  6 1 3 2 4 1 2 . 1 2 1 2  5  4 2  5  4 1 2 4 2 1  7 3 5 6 1  1 1 1  3  4 .  2 #> VDAC3         4 2  8 .  2 2 2  4 1  4 2  2  2  4  3  6  1 3 1 2 1 2 2 5 1 4 3 1  3  4 2  2  3 2 2 3 1 2  2 . 1 2 2  2 . 2  1  1 4  3 #> VDR           . 2  . 1  . . .  . .  1 .  .  .  .  .  .  . . . . . 3 . . . . . .  1  . .  .  2 . . . . .  . . 1 . .  1 1 .  .  . .  . #> VEGFA         1 .  1 .  . 2 .  . .  . .  .  1  .  .  1  . . . . . 1 . 1 . . . .  .  . .  .  . . . . . .  1 1 . 1 .  . . .  .  . .  . #> VEGFB         . .  . .  . 1 .  . .  . .  .  .  1  .  .  1 . . . . . . 1 . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  1 #> VEGFC         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VEPH1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VEZF1         . .  2 1  . 1 .  . .  . .  .  .  1  1  2  . . . . . . . 2 . . . 1  .  . .  1  . 1 . . . .  1 . . 1 .  1 . 1  1  1 .  . #> VEZT          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VGF           . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . 2 . . .  . . .  .  . .  . #> VGLL1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VGLL2         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VGLL4         1 .  . .  . . .  . .  . .  .  .  .  .  .  . . 1 . . . . . . . 2 .  .  . .  .  . . . . . 2  . . . 2 .  1 . 1  .  2 .  . #> VHL           . .  . .  . . 1  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VHLL          . .  . .  . . 1  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VIL1          . .  . .  . . .  1 .  . .  .  1  .  .  .  . . . . . . . . 3 1 . .  .  . .  1  . . . . . .  . . . . .  . . .  .  . .  . #> VILL          1 .  2 .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . 1  .  . . . . . .  . . . . .  . . .  .  . .  . #> VIM           4 . 12 .  5 6 .  1 .  5 .  .  .  . 16 14  . . 2 . . . . . . . 7 1  .  . 4  2  1 2 . . . 6  . . 3 7 .  . . 1  2  2 2  8 #> VIPAS39       . .  . 2  . 1 .  1 .  . .  .  .  .  .  .  . 2 . . 1 . . . . . . .  .  . 1  2  . . 2 . 2 .  1 . . 1 .  . . .  1  1 .  . #> VIPR1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VIPR2         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VKORC1        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VKORC1L1      . .  1 .  . . .  . .  . .  .  .  .  1  .  1 . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . 1  . #> VLDLR         . .  . .  . . 1  . .  1 .  .  .  .  .  .  . 1 . . . . . 1 . . . .  .  . 1  .  1 . . . 1 .  . . . . .  . . .  .  2 .  . #> VMA21         . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . . . 1 . . . .  .  . .  .  . . 1 . . .  . . . . .  . . .  .  . .  . #> VMAC          . .  . .  . . .  1 1  . .  1  1  .  .  .  . . . . . 1 . 4 . . . .  1  . .  .  . . 1 2 . 1  . 1 . . .  . . .  .  . .  1 #> VMP1          1 .  1 1  1 . 1  . .  . .  .  1  .  1  4  . . 2 . . 1 . . . . 2 2  .  1 .  2  . . . . . 1  . . . . 4  . . .  .  1 .  2 #> VN1R5         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VNN1          3 .  . .  . 1 .  . .  . .  .  .  .  1  1  . . . . . . . . . . . .  .  . 1  .  . . . . . .  . . . 1 .  . 1 .  .  . .  . #> VOPP1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VPREB1        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  1 #> VPS11         . .  . .  . 2 .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  1 1 . . .  1 . .  .  . .  . #> VPS13A        . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VPS13B        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . 1 . 1 . .  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> VPS13C        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VPS13D        . .  . 1  . . 1  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  1 . . . . .  . . . 1 .  . . .  .  . .  . #> VPS16         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 . . . 1 .  .  1 .  .  . . . 1 . .  . . . . .  . 1 .  .  . .  . #> VPS18         . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . 1 . .  .  . .  .  . . 1 . . .  . . . . .  . . .  .  . .  . #> VPS25         . .  1 .  . . .  . .  . .  .  .  .  .  .  . 1 . . . . . . . . . .  1  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VPS26A        . 1  . .  1 1 .  . .  . .  .  1  .  .  2  . . 1 . 1 . . . 1 . . .  1  . .  .  1 . 1 . . .  . . . . .  . . .  .  . .  2 #> VPS26B        . .  1 .  . . .  . .  . .  1  .  .  1  .  . . . . . 1 3 . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VPS29         2 .  1 2  1 1 1  1 1  1 2  1  1  .  1  1  4 . 1 3 . . . 1 2 . 2 1  .  1 1  .  2 . 1 4 2 1  1 1 . . .  . 1 2  3  1 3  . #> VPS33A        . .  . .  1 . .  3 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VPS33B        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VPS35         . 1  1 1  . . 1  6 7  1 3  1  .  .  .  .  . 1 . 1 . 1 . 1 2 1 . 2  4  . 1  .  1 1 . . . .  3 2 1 . .  . 2 1  .  . .  2 #> VPS36         2 .  4 1  . . 1  . .  1 .  1  1  1  1  1  1 . . . . 2 . . . . 3 .  .  2 1  .  1 1 . 1 . .  2 . . 3 .  . 3 1  .  . .  2 #> VPS37A        . 3  . 1  . . .  1 .  . .  .  1  .  1  .  . 1 . 2 . . 4 . 1 . . 1  1  1 .  1  1 1 . . . .  1 1 2 . 3  . 1 .  2  2 1  . #> VPS37B        3 .  1 .  . 1 .  . .  . .  3  1  1  .  .  . 2 1 . . . 1 1 . 1 . .  .  . 1  .  . . . . 1 .  1 . . . .  . . 1  .  . 1  1 #> VPS37C        . .  . .  . . .  . .  . .  .  .  .  .  1  . 1 . . . . . . . . 1 .  .  . .  .  . . . 2 . .  . . . . .  . . .  .  . .  . #> VPS37D        . .  . .  . . .  . .  . .  .  1  .  .  .  . 1 . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VPS39         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . 1 .  . . .  .  . .  . #> VPS41         . .  . .  . 1 1  . 1  . 1  .  .  .  1  .  1 . . . . . . . . . . .  1  1 1  1  1 1 1 1 . 1  . 1 . . .  . . .  1  2 .  1 #> VPS45         . .  1 .  1 . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  1  . . . 1 . .  . 1 . . .  . . .  .  . 1  . #> VPS4A         2 .  . .  . . .  . .  . .  .  .  .  .  .  1 . . . . . . . 1 . . .  .  1 .  .  . . . 1 . 1  . . . 2 .  . . 1  .  . .  . #> VPS4B         . .  1 .  . . .  . 1  . 1  .  .  .  .  .  . . . . . . . . 1 . . .  1  . .  .  . . 1 . . .  . . . . .  . . .  .  . .  . #> VPS50         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  1  . .  . #> VPS51         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> VPS52         . .  1 .  . 1 .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . 1  .  . .  .  . 1 . 1 . .  . . . . .  . . .  1  . .  . #> VPS53         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . 1 . . 1 . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VPS54         . .  . .  1 . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . .  1  1 . . . . .  . . . 1 .  . . .  .  . .  . #> VPS72         . 2  1 4  2 2 2  1 2  1 .  1  1  2  1  3  . . 2 2 2 2 . 1 1 . 1 1  .  1 3  2  2 1 2 . 1 .  3 1 . . .  1 1 .  1  . 1  2 #> VPS8          . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . 1 . 2 . . . .  1  . .  .  . . . . . .  1 . . 1 .  . . .  .  . .  . #> VPS9D1        . .  . .  1 . .  . .  . .  .  .  .  .  .  1 . . . . . . . . . . .  .  . .  .  . 1 . . . .  . 1 . . .  . . .  .  . .  1 #> VRK1          . .  2 .  . 1 .  1 .  . .  .  1  .  2  1  . . . . . . . . . 1 . .  .  . .  .  1 . . . . .  . . . 1 .  1 . .  .  . .  1 #> VRK2          . .  1 .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VRK3          . .  2 .  1 2 .  . .  . .  .  .  .  .  .  . . . . . . . . 1 . . .  .  . .  .  . 1 . 1 . .  . . . 1 .  . 1 .  .  . 1  . #> VSIG1         . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSIG10        . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSIG10L       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSIG2         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSIG8         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSIR          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSNL1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSTM2A        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSTM2B        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSTM2L        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSTM4         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSTM5         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> VTA1          1 2  . 1  1 . 1  2 .  . .  .  .  2  1  2  1 . . . 1 . . . . . . 1  2  . 1  2  2 . 1 . . .  2 . 1 . .  . 1 1  2  1 .  1 #> VTCN1         . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VTI1A         . .  1 .  . . .  . .  . .  1  .  .  .  .  . . . . . . . . . . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VTI1B         1 1  1 .  2 . 2  2 1  . .  3  1  .  1  2  . . . 1 1 . . . . 1 . .  2  . .  .  . . 1 3 2 .  4 . 1 1 .  . . .  .  . 1  1 #> VTN           . .  . .  . . .  . .  . 1  .  .  .  .  .  . . . . 1 . . . . . . .  .  . .  .  . . . 1 . .  . 1 . . .  . . .  .  . .  . #> VWA1          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . 3 . . . .  . . . . .  . . .  .  . .  . #> VWA2          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VWA3B         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VWA5A         . .  . 1  . 1 .  . .  . .  .  .  .  .  .  . . 1 . . . . . . . . 1  1  . .  .  . . . . . .  . . . . .  . 1 .  .  . .  . #> VWA5B1        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VWA5B2        . 1  . 1  . . 1  1 .  2 2  1  2  .  .  .  . 2 . 1 . 3 . . 3 1 . .  1  1 .  .  1 1 . . 1 .  1 . 1 . 1  4 1 3  .  . .  . #> VWA8          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VWC2          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VWCE          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WAC           . .  . .  . . .  . .  . .  .  .  .  .  .  1 . . . . . . . 1 . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WAPL          2 1  1 1  2 1 1  . .  . .  .  .  1  .  1  1 . 2 1 . . 1 . . . . 3  .  . 2  1  3 1 . . . 2  2 . 2 1 .  1 . .  1  1 .  2 #> WARS1         . .  1 .  . . 1  2 3  1 .  .  .  .  .  1  1 . . 1 . . . . . . . .  .  1 .  1  1 . . 1 . .  . 3 . . .  . 1 .  .  . .  . #> WARS2         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WASF1         . 1  . .  . . .  . .  . .  .  1  1  .  1  . . . . . 1 . . 1 . . .  .  . .  .  . . . . . .  . . . . .  . . 2  .  . .  . #> WASF2         1 .  . .  . 1 2  . .  1 .  .  1  2  1  1  . . . . . 1 . . 2 . . .  .  1 .  .  . 1 . 1 . .  . . . . .  1 . .  .  1 .  . #> WASF3         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WASL          . .  1 .  . . .  . .  . 1  .  1  1  .  1  . 1 . 2 2 . 1 . 1 . . .  1  1 1  2  . 1 1 1 . 1  1 . . 1 .  . 1 .  .  . .  1 #> WBP1          1 .  2 1  . 1 1  2 .  . .  .  .  .  1  2  . 1 1 . . 1 . 2 . 1 3 .  1  . .  1  1 . . 2 1 2  . 1 . 2 3  . . .  1  5 .  1 #> WBP1L         . .  1 1  . 1 .  . 1  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  1 .  .  1 . . . . 1  . . . . .  . . .  1  . .  1 #> WBP2          1 .  3 4  1 . 1  . .  . .  .  .  1  .  .  2 1 1 . . . 1 . 2 1 1 2  .  1 1  2  . . . 2 2 .  1 1 . . .  3 1 .  .  1 .  1 #> WBP4          4 .  1 .  . . 1  1 .  . .  .  .  .  2  .  . . . . 1 1 4 1 . . 1 3  1  1 .  1  . . . . 3 .  1 . . 3 .  1 1 .  1  . .  . #> WDFY1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 . . . . .  .  . 1  .  1 . . . . .  . . . 1 1  . . .  .  . .  . #> WDFY3         . 1  . .  . 1 .  . .  . .  .  .  .  1  .  . . . . 1 . . . 1 . 1 .  1  . 1  .  . . . . . .  . 1 . . .  . . .  1  . .  . #> WDHD1         . .  1 .  . . .  . 1  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDPCP         . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> WDR1          . .  1 .  . 1 1  . 1  1 2  1  .  2  1  .  1 . . . 1 . . . 4 . 1 .  .  . .  .  2 2 . 2 . .  . 2 . 1 1  . . 1  1  . 1  1 #> WDR11         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . . .  .  . .  . #> WDR12         . .  . .  . . .  . .  . .  .  .  .  .  1  . . 1 . . . . . . . . .  .  . 1  .  . . . . . .  . . 1 . .  . . .  .  . .  1 #> WDR13         1 .  1 .  . . .  . 1  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> WDR18         . .  2 .  1 1 .  1 .  . 1  .  1  1  .  1  1 1 . 1 1 . . . 2 . . 1  1  . .  .  . . . . . .  1 1 1 . .  . 1 .  .  1 2  2 #> WDR19         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR20         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR24         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR25         . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR26         1 1  1 .  . . .  1 .  . .  .  .  1  .  1  . . . 1 . . . . . . 2 1  1  . .  .  . . 1 . . .  2 1 . . .  1 . .  .  . 1  1 #> WDR3          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . 1 . . . . . . . .  1  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR31         1 .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR33         . .  . .  2 . .  . .  1 .  1  .  .  .  1  . . 1 1 . . 1 1 . . . .  1  . .  .  . . . . . .  1 . 1 . .  . . .  .  . 1  . #> WDR35         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . 1 . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR36         . .  . .  . . .  . .  . 1  .  .  .  1  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR37         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR4          . .  . .  . . .  . .  . .  1  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . 1 . . . .  . . . . .  . . .  .  1 .  . #> WDR41         . .  1 .  . . .  . .  . .  .  .  .  .  .  . 1 1 . . . 2 . . . . .  .  . 1  .  . . . 1 . .  . . . 1 1  1 . .  .  . .  . #> WDR43         1 1  . .  3 . .  . .  . 1  .  .  1  .  .  . . . . 2 2 1 . . . 1 .  .  . .  .  . . . 1 . .  . . . . .  . . 1  .  . .  . #> WDR44         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR45         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR45B        . 1  . .  . . .  1 1  1 1  .  1  .  .  1  . . . 1 . . 1 . 1 1 1 .  1  . .  .  . 1 2 1 . 1  1 . . . 1  . . 1  .  . .  2 #> WDR46         1 .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  2 1 . 1 . .  . . . . .  1 . 1  .  1 .  . #> WDR47         . .  . .  . . .  . .  . .  .  .  .  .  .  . 1 . 1 . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . 1  . #> WDR48         . .  . .  1 . .  1 .  . .  .  .  .  .  .  1 . . 1 . 2 . . 1 . . .  .  2 .  .  1 . 1 . . .  . . 1 . .  . . .  .  . .  . #> WDR49         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR5          . 1  . .  . . .  . 1  . .  .  .  1  2  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  1 . .  .  . 2  . #> WDR53         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  1  . .  .  1 . . . . .  . 1 . . .  . . .  .  . 1  . #> WDR54         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  1 . . . . .  . . . . .  . . .  .  1 .  . #> WDR55         . .  1 .  . 1 1  . .  . 2  .  .  .  .  3  1 . . . . . 1 . . . . .  .  . 2  1  . . . . . .  1 . . . .  . . .  .  . .  1 #> WDR59         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR5B         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR6          . 2  . 1  . 2 .  1 2  1 .  .  .  2  .  1  . 2 . 2 1 2 1 1 1 . 2 2  1  . 1  .  . . . 1 . .  5 1 . . 2  . . 1  1  1 1  . #> WDR61         . 1  1 .  2 . .  . 2  1 .  1  .  1  .  1  1 1 . 3 . . . . 2 1 3 .  1  . .  1  . . . 3 . 1  . . . . .  1 . 1  .  . 1  1 #> WDR62         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> WDR7          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR70         . .  . .  1 . .  . .  . .  .  .  .  .  2  . . . . . . . . . . . .  .  . 1  .  . . . . 1 .  . . 1 . .  . . .  .  . .  . #> WDR72         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR73         . .  1 .  . . .  . .  . .  .  .  .  1  .  . . . . . . . . 1 . . .  .  . 1  .  . . 1 . 2 .  . . . 1 .  . . .  1  . .  1 #> WDR74         . .  1 .  . 1 .  1 .  . .  1  .  .  .  .  . . . . . . . 1 1 1 . 1  .  . .  .  . . 1 . . .  . . . 1 .  . . 1  1  . .  . #> WDR75         1 .  2 .  . 1 .  . .  . .  2  .  .  .  .  . . . . . . . . . . . .  .  1 .  .  . . . 1 . .  . . . . .  . . .  .  . .  . #> WDR76         . .  . .  . . .  . .  . 1  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> WDR77         . 1  . .  . . .  . .  . .  .  .  .  .  1  1 . . . . 1 . . 1 1 . 1  1  . .  .  . . . . . .  1 . . . 1  . . 1  .  . .  . #> WDR81         . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR82         1 .  . .  . . .  . .  . .  1  2  .  .  1  . . . . 1 . . . 1 . 1 .  .  . .  1  . . . . . 1  . . . . .  . . .  .  1 .  . #> WDR83         . 1  . .  1 . .  . .  . .  .  1  .  .  1  . 1 . 1 2 1 . . . 1 . .  2  . .  2  . . 1 1 1 .  2 . . . .  . 1 .  1  . .  . #> WDR83OS       2 1  3 3  1 1 1  1 2  2 1  1  .  1  3  .  1 2 . 1 1 1 2 1 . 1 . .  2  1 1  2  1 2 1 3 1 1  4 2 1 1 2  . . 1  1  3 .  1 #> WDR86         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR89         . .  2 2  . 3 .  . 1  1 1  .  1  1  1  .  . . . . 2 . 1 2 2 2 3 1  1  2 .  1  . . 1 1 . 4  1 3 . 3 2  1 1 1  1  4 .  2 #> WDR90         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR91         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR92         . .  . .  1 1 .  2 .  . .  .  1  .  .  .  . . . . . . . . . 1 . .  .  1 1  .  . . . . . .  1 . 1 . .  . . .  .  . 1  . #> WDR93         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDSUB1        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . 1 1  .  . .  .  . . 1 . . .  . . . . .  . 1 1  2  . .  . #> WDTC1         . .  . .  . . 2  . .  . .  .  .  .  1  .  . . 1 1 . . . 1 . . . .  .  1 .  .  . . . . . .  1 . . 1 .  . . .  .  . .  . #> WEE1          . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WEE2          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  1  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WFDC10A       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WFDC13        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WFDC2        10 . 10 .  6 3 .  . .  . 1  .  .  .  5  7  . . 4 1 . . . . . . 8 .  .  1 4  3  . . 2 . 1 3  1 . . 1 4  1 . .  .  3 .  7 #> WFDC3         . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . 1  .  . . . . . .  . . . . .  . . .  .  . .  . #> WFDC9         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WFIKKN1       . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WFIKKN2       1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> WFS1          . .  . .  . . .  1 1  . .  1  1  .  .  .  . . . . . . . . 1 . . .  1  . .  .  . 1 . 1 . .  1 1 . . .  . 1 1  .  . .  . #> WHAMM         . .  . .  . 1 .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . 1  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WHRN          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WIF1          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . 1 . . . .  . . . . .  . . .  .  . .  . #> WIPF1         . .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WIPF2         . .  . .  . . .  . .  . .  .  .  .  .  2  . . 1 . . . . . . 1 . .  .  . .  .  . . . . . .  3 . . . .  . . .  .  . .  . #> WIPF3         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WIPI1         . .  . .  . . .  . .  . .  .  1  .  .  .  . . . . 1 . . 2 . . . .  1  . .  .  . . . 1 . .  2 2 . . .  . . .  .  . .  . #> WIPI2         . 1  . .  . 1 1  . .  1 .  .  .  .  .  .  . . 1 2 . 1 . . 1 . . .  1  . .  .  . . . . 1 1  1 . 1 . .  . . 1  .  . .  . #> WIZ           2 .  . .  1 . .  1 .  . .  .  1  .  .  .  . . 1 . . . . . . . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  1 #> WLS           . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WNK1          . .  . .  . 1 .  . .  . .  .  .  .  .  .  1 . . . 1 . . . . 1 . 1  1  1 .  .  . . . 1 . 1  2 . . 1 .  . . 1  .  . 1  . #> WNK2          . .  . .  1 . .  . .  1 .  .  .  .  .  .  . . . . . . . . . . . .  1  . .  .  . . . 1 1 .  . . . . .  1 . .  .  . .  . #> WNK3          . .  1 .  . . .  . .  . .  .  .  4  .  .  . . . . . . . . . . . 1  .  . .  .  . . 1 . . 1  . . . . .  . . .  .  . .  . #> WNK4          . 1  . .  . . .  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . 1 . .  . . .  .  . .  . #> WNT10B        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WNT11         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WNT3          . 1  . .  . . .  . .  . .  .  .  .  .  .  . 1 . . . . . . . . . .  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> WNT4          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WNT5A         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WNT5B         . .  . .  . . 1  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WNT6          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WNT7B         2 .  3 .  1 . .  . .  . .  .  .  .  .  3  . . . . . . . . . . 1 .  .  . .  .  . . . . . 1  . . . 1 .  . . .  .  . .  1 #> WNT9A         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WNT9B         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WRAP53        . .  . .  . . .  . 1  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  1  . .  . #> WRAP73        . .  . .  . . .  . .  . .  .  1  .  .  .  . 1 . . . . . . . 2 1 .  .  . 1  .  . . . 1 1 .  . . . 1 .  . . .  .  . .  . #> WRN           . .  . .  . . .  . .  . .  .  .  .  1  .  . 1 . . . . . . 1 . . .  .  1 .  1  . . . . . .  . . . . .  . . .  .  . .  . #> WRNIP1        . .  1 .  1 . 1  . .  . .  .  .  .  .  1  . . . 1 . . 1 . . . . .  1  1 .  .  . 1 . . . 1  . 1 . 1 .  . . .  .  . .  . #> WSB1          . .  2 .  1 . 2  . .  . .  .  .  .  .  .  . 1 1 . 1 . . . 1 . 3 1  .  . 1  .  . . 2 . . 1  . . . . .  . . .  .  2 .  . #> WSB2          . .  1 .  . . .  2 .  1 .  .  .  .  .  1  . . 1 . . 1 1 . . . . 1  1  . .  .  2 . . 1 . .  . 3 . . 1  . 1 .  .  . .  1 #> WSCD1         . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . 1 .  . . . . .  . . .  .  . .  . #> WTAP          . 1  2 .  . . .  1 .  . .  .  1  1  .  .  . . 1 . . . . . . . . 1  .  . .  .  . . 1 . . .  . . . . 2  . . .  .  . .  . #> WTIP          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  1  . . . . . .  . . 1 . .  . . .  .  . .  . #> WWC1          1 .  . .  . . .  . .  . .  .  .  .  1  .  . . 1 . . . . . . . . .  .  . .  .  . . . . . .  . . . 3 .  . . .  .  . .  1 #> WWC2          1 .  . .  . . .  . 1  . .  .  .  .  1  .  . 1 . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  1  . .  . #> WWOX          . .  . .  . 1 .  . .  . .  .  .  .  .  .  . . . . . . . . . 1 . .  .  . .  .  . . 1 1 . .  . . 1 . .  . 1 .  .  . .  . #> WWP1          . .  . 2  . . .  . .  . .  .  .  .  .  .  1 . . . . . . . . . . 1  .  . .  .  . . . . . 1  1 . . . .  . . .  .  . .  . #> WWP2          . .  1 .  . . .  . 1  . .  1  .  .  1  .  . . 1 . . . 1 . . . . .  .  . .  .  . . . . . .  1 . . . 2  . . .  2  . .  . #> WWTR1         1 .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XAB2          . .  . .  . . 1  . 1  . .  1  .  .  1  .  . . . . . . 1 . . . . .  1  1 .  .  . . . . . 2  1 . 1 . .  . . .  .  . .  1 #> XAF1          . .  . .  . 2 .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> XBP1          1 .  2 .  . . .  3 .  1 .  .  2  .  .  .  . . . . 2 1 1 . . . . 2  1  . .  .  . 1 1 6 2 .  2 3 1 2 .  . . 1  .  . 2  1 #> XDH           . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XIAP          . .  . .  . . .  . .  . .  .  .  .  1  .  . . 1 . . . . . . . . .  1  . .  .  . . . 1 . .  . . 1 1 .  . . .  .  . .  1 #> XK            . .  . .  . . .  . .  . 1  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  1 . .  .  . .  . #> XKR5          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XKR6          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XKR7          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XKR8          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XKR9          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XPA           . .  2 .  . . .  2 .  . .  .  1  .  .  .  . 2 . 1 . . . . . . 1 .  .  . .  .  . 1 . . . .  3 . 1 . 1  . . .  .  . .  . #> XPC           . .  . .  . . .  . .  . .  .  .  .  .  .  . 1 . . . . . . . . 1 .  1  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> XPNPEP1       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  1 #> XPNPEP2       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XPNPEP3       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . 1 .  . . . . .  . . .  1  . .  . #> XPO1          . .  . .  . . 1  . 1  1 .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  1  1 . . . 1 .  1 . . . .  . 1 .  1  . .  . #> XPO4          1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XPO5          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XPO6          . .  1 .  . 1 .  . .  . .  .  2  1  .  .  . . . . . . . . . . . .  .  . .  .  1 1 . . . .  1 . 1 1 .  . . .  1  1 .  . #> XPO7          . .  1 .  1 1 .  . .  . .  .  .  .  .  .  . . . 1 . . . . . . 1 .  .  1 1  1  . . . . . .  1 . . 1 .  . . .  .  1 1  . #> XPOT          1 1  . .  . . .  . .  . .  .  .  1  .  .  1 1 . . 1 1 . . . 1 . .  .  . 1  .  . . . . . .  . . . . .  . . 1  .  . .  . #> XPR1          . .  . .  . . .  2 .  . .  .  .  .  .  .  . . . . . . . . . . . 1  1  . 1  .  1 1 . . . .  1 . . . 1  . . .  .  1 .  . #> XRCC1         1 .  2 .  1 . .  1 .  . .  1  2  1  .  2  3 . 1 . . . . . . . 2 .  .  . .  .  . 2 1 . 1 .  . . 1 1 .  2 . 1  .  . .  1 #> XRCC2         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XRCC3         . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XRCC4         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  1  . .  . #> XRCC5         . .  . 1  1 1 .  1 .  . .  .  .  .  1  .  1 . . . . . 1 1 . . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XRCC6         2 .  . .  . . .  . .  1 .  .  .  .  .  .  1 . . . . 1 . . . . 1 1  .  . .  .  . . . . . .  . 1 . 3 .  . . .  1  1 .  . #> XRN1          . 1  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XRN2          . .  2 .  . 3 2  . .  . .  .  .  .  .  1  . . . 3 1 1 1 . . 1 1 .  .  2 1  .  . . . 1 . 2  1 1 . . 3  . . 1  1  1 1  . #> XRRA1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XXYLT1        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XYLB          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  . #> XYLT1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XYLT2         . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> YAE1          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . 1 . .  .  . .  .  . . 1 . 1 .  . 1 . . .  . . .  .  . .  . #> YAF2          . 3  1 .  1 . .  1 1  1 .  2  .  .  1  .  . . . 2 1 1 3 1 2 2 1 .  2  2 1  .  1 2 2 1 . 1  2 1 1 1 1  . . 1  2  . .  1 #> YAP1          1 .  1 .  . 1 .  . .  . .  .  .  .  .  1  . . 1 . . . . . . . . .  .  . 1  .  . . . . . .  . . . . .  . . .  .  . .  . #> YARS1         . .  1 .  . . .  1 .  . .  .  .  .  .  1  1 . . 1 . . . 2 . 1 . .  .  . .  .  . . . . 1 .  . . . . 1  . . .  1  . .  . #> YARS2         1 .  1 .  1 . .  . .  . .  .  .  .  .  .  1 1 . . . 1 1 . . . . .  .  . 1  .  . . . . 1 .  . . . . .  . . .  .  . .  1 #> YBEY          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> YBX2          . .  . .  . . .  . .  1 .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> YBX3          . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . 1 . .  2  . .  .  . . . . . 1  1 . 1 . .  . . .  .  . .  . #> YDJC          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> YEATS2        . .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . 1 1 .  . . .  .  . .  . #> YEATS4        1 .  2 .  1 . .  1 2  . 1  1  1  .  .  1  1 . . 1 1 2 . . . . . .  1  3 .  1  1 1 . . 1 4  . . . 1 1  . . 1  .  . 2  2 #> YES1          . .  . .  . . .  . .  . 1  .  .  .  .  .  . . 1 . . . . . . . . .  .  . .  1  . . . . . .  . . . . .  . . .  .  . .  . #> YIF1A         1 1  1 .  1 1 2  . 1  . .  1  .  1  .  1  1 . . 1 . 1 . . 2 . 1 .  1  2 .  2  1 . 1 4 . 1  1 . . . .  1 1 .  .  . .  . #> YIF1B         1 .  1 .  . 2 .  2 .  . .  .  .  .  .  3  . . . . 1 1 1 2 1 . . .  1  1 .  .  . 1 . 1 . .  1 2 . . .  . . .  .  . 1  . #> YIPF1         . .  . .  1 . .  1 1  1 .  1  .  1  .  1  1 1 . . . . . 2 . . . .  1  1 .  .  . . . . . .  . 2 . . .  1 . .  1  . .  . #> YIPF2         . .  . .  . 1 1  2 1  . 1  .  .  .  .  1  . . 1 . . 1 . 1 . . . 1  1  4 .  .  . . . . . 1  . . 2 . .  1 1 .  .  . 1  1 #> YIPF3         . .  . .  . 1 5  1 1  1 .  1  1  1  2  1  . 1 1 1 1 . . . 2 1 1 1  2  3 .  .  . 1 . 1 1 .  . . . 2 3  2 2 1  .  . .  . #> YIPF4         1 2  1 1  2 1 4  2 1  1 2  1  2  1  1  2  3 . . 5 1 3 2 2 3 . 3 .  .  3 .  7  3 1 2 2 . .  3 1 1 2 5  1 1 4  3  1 1  1 #> YIPF5         2 2  1 2  . 1 2  3 .  2 .  1  .  1  1  1  1 1 1 . . 1 1 3 . . 1 .  1  . .  1  2 1 1 . . 1  1 . . . .  1 3 .  1  . 1  1 #> YIPF6         . .  1 .  . . .  2 .  . .  .  .  .  .  .  1 . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> YKT6          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . 1 . . 2 . . . . .  .  1 1  1  1 . 1 . . .  . . . 1 .  . . .  .  1 1  1 #> YLPM1         . 1  1 .  . . .  . .  . .  .  1  .  2  1  . . . . . 1 . . . 1 . .  1  . 2  .  . . . . 2 .  . . . . 2  . . .  1  . .  . #> YME1L1        1 .  3 .  . . .  . .  1 .  3  .  .  .  .  1 1 1 . . . . . 1 . 1 .  1  1 .  1  . . . 1 . .  . . . . 1  . 2 .  .  . 1  . #> YOD1          . .  . .  . . .  1 .  . .  .  .  1  .  .  . . 1 . . 1 . . . . 1 .  .  . .  .  . . . . . .  . 1 . . .  . 1 .  .  . .  . #> YPEL1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> YPEL2         . .  . .  . . .  1 .  1 .  .  .  2  .  .  1 . . . . . . . 1 . . .  1  3 .  .  1 . . . . .  . . . . 2  . . .  .  1 .  1 #> YPEL3         . 6  . 2  . 1 3  3 1  5 4  2  5  1  2  .  1 8 . 4 5 2 5 . 8 1 . 3  7  4 .  2  3 3 2 1 5 .  2 1 4 . 6  1 1 4  3  4 2  1 #> YPEL4         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . 1 . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> YPEL5         . .  . .  . . .  1 .  . .  .  .  .  .  .  1 . . 1 1 . . 1 1 1 . 1  .  1 .  .  . 1 . . . .  . . 1 . .  1 . .  .  . .  . #> YRDC          . 1  2 .  2 . .  1 .  1 .  .  .  1  .  1  5 . . . 1 1 . . . . 1 1  1  . .  .  1 2 2 . . 3  . . 2 1 1  2 1 .  1  . .  1 #> YTHDC1        . .  . 1  . . .  . .  . .  .  .  1  .  2  1 . . . . 2 . . . . . .  .  . .  2  1 . 1 . 1 1  . . . . .  2 . .  1  . 1  . #> YTHDC2        . .  . .  . . .  1 .  . .  .  .  .  .  .  1 . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> YTHDF1        . .  . .  1 . 1  . 1  1 .  .  2  .  .  1  1 . . . . 1 . 1 . . 1 .  .  . 1  1  . . . 1 1 .  1 1 . 2 .  . 1 .  .  1 .  . #> YTHDF2        . 2  3 1  1 . .  1 1  . .  .  4  2  1  2  . 1 . 1 . . . . . 1 1 .  .  1 1  1  3 . 1 2 . 1  2 . 1 . .  2 2 1  1  . .  1 #> YTHDF3        . .  . .  1 1 .  . .  . .  1  .  .  .  .  . 1 . . . 1 . . . . . .  .  . .  .  . . . . . .  1 . . 1 .  . . .  .  . .  . #> YWHAB         3 1  4 2  1 1 1  1 5  2 1  1  1  3  .  2  3 1 1 3 1 2 3 2 4 1 . 2  1  3 4  2  1 1 2 1 2 1  1 4 . 3 .  2 . 2  .  3 2  4 #> YWHAE        10 4 11 5  6 7 2 11 5 10 4 11 10  7  9 14 12 6 3 9 4 5 7 7 5 8 5 5 10 14 4 10 12 8 2 9 6 7 18 6 5 6 5 10 1 7 11 12 4 14 #> YWHAG         . .  1 1  . . .  2 1  1 .  .  1  .  .  2  . . . . . . 1 1 1 2 . 2  1  . .  .  1 1 . 2 1 .  2 . . . 1  2 1 .  .  . .  . #> YWHAH         5 3  5 3  2 3 3  4 2  5 4  1  .  2  2  6  2 1 2 1 1 1 1 1 2 1 2 2  1  2 .  1  2 2 1 4 1 1  4 2 1 1 1  1 2 1  2  . 6  1 #> YWHAQ         9 6  6 4 12 4 1 15 6  3 3  3  9  9  3  8  2 6 4 1 1 6 3 7 1 4 4 .  7 10 8  5  2 5 5 5 3 7  4 5 4 7 3  2 3 5  5  2 2  8 #> YWHAZ         3 1  . 1  . . .  1 1  1 .  2  .  1  1  2  2 . . . 1 . 2 1 1 . . 4  2  1 2  3  . 1 1 1 . 1  1 . 1 . .  . . 1  2  . 2  2 #> YY1           . 1  1 .  . . .  . 1  3 1  .  .  .  1  1  . . . 1 . . 2 1 . . 1 2  1  1 .  1  3 2 1 2 . 1  1 1 1 1 1  . 1 .  1  1 .  1 #> YY1AP1        . .  1 .  . . .  4 .  . .  .  2  .  2  2  1 . . 1 . . . . . . . .  .  . .  .  . . . . 1 .  1 . . 1 1  1 . .  .  . .  . #> Z82190.2      1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  1  . .  . #> Z83844.1      . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> Z84488.1      . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZADH2         . .  1 1  . . .  . 1  . .  .  .  2  .  .  . . . . 1 . . . . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  . #> ZAP70         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZAR1          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZAR1L         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBED3         . .  1 .  . 2 .  . 2  . .  1  .  .  .  .  . . 1 . 1 . 1 . 1 . 1 .  .  1 .  .  1 . . . . .  . 2 . . .  1 . 1  .  1 2  . #> ZBED4         . .  1 .  . . .  . .  . .  .  1  .  1  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . 1 .  . . 1  .  1 .  . #> ZBED9         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . 1  . #> ZBP1          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB1         . .  . .  . . 1  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> ZBTB10        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  1 .  .  . . . 3 . .  . . . . .  . . .  1  . .  . #> ZBTB11        1 1  . .  . . .  1 .  . 1  .  2  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . 1 .  . . .  .  . .  1 #> ZBTB12        . .  . .  . 1 .  . .  1 .  .  .  .  1  .  . . . . . . 1 . . . 1 .  .  . 1  .  . . . . . .  . . . 1 .  . . .  1  . .  . #> ZBTB14        . .  . .  . . .  . .  1 .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> ZBTB16        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . 1 . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB17        . .  1 1  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB18        . 1  . .  . . .  . .  1 .  .  .  .  .  .  . . . . . . . . 1 . . .  1  . .  .  . . . . . .  . 1 . . .  . . .  .  1 .  . #> ZBTB2         . .  1 .  . . .  . 1  . .  .  .  .  .  .  . . . 1 . . . . . . . .  1  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB20        1 .  1 1  . 2 .  1 .  3 2  1  .  3  1  4  1 . 2 1 2 3 2 . 2 2 1 5  2 11 2  2  2 . . 6 . 4  3 2 3 1 .  2 3 5  6  1 2  . #> ZBTB21        . .  1 .  . . .  . .  . .  1  .  .  .  2  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB24        . .  . .  . . .  . .  . .  .  .  .  .  1  2 . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . . .  .  . .  1 #> ZBTB25        . .  . .  1 . .  1 .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  1 .  .  . . . . . .  . . 1 . .  . . .  1  . 1  1 #> ZBTB26        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB3         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB32        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB33        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . 1  1 . 1 . .  . . .  .  . .  . #> ZBTB34        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> ZBTB37        . .  . .  . . .  . 1  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . . .  .  . .  . #> ZBTB38        . .  2 .  . 1 .  . 1  . .  .  .  .  .  1  . . . . . . . . . . 1 .  1  . .  .  . . . . . 1  . . . . .  . . .  2  . 1  1 #> ZBTB39        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB4         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> ZBTB40        . .  . .  . . .  . .  1 .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB41        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 1 . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> ZBTB42        . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB43        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  1 . 1  .  1 .  . #> ZBTB44        . .  1 .  . . .  . .  1 .  .  .  1  .  .  . . . . 1 . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB45        . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . 1 . . . . . . .  .  . .  .  1 . . 1 . .  . . . . .  . . .  .  . .  . #> ZBTB46        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB47        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB48        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB49        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . 1 .  . . . . .  . . .  .  . .  . #> ZBTB5         . .  1 .  . . .  . .  . .  .  .  1  .  1  . . . . . 1 . . . . . .  .  . 1  1  . . . . . .  . . 1 . .  . . .  .  . .  . #> ZBTB6         . .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB7A        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . 1 . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB7B        . .  1 .  . . .  . .  . .  .  .  .  .  .  . . 1 . . . . . . . . .  .  . .  .  . . . . . .  1 . . 2 .  . . .  .  . .  . #> ZBTB7C        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  . #> ZBTB8A        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  1 . . . . .  . . . . .  . . .  .  . 1  . #> ZBTB8B        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB8OS       1 .  . .  1 . .  . .  . .  1  .  1  .  .  . 1 . . . . 1 . . . . .  .  2 .  .  1 . . . . .  . . . . 1  1 . .  .  . .  . #> ZC2HC1A       . .  . 1  . 1 .  . .  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . .  .  . 1 . . . .  . . . 1 .  . . .  .  . .  . #> ZC2HC1C       . .  . .  . . .  . .  1 .  .  .  .  .  .  1 . . . . . . . . . . .  .  . .  .  . . . . 1 .  . 1 . . .  . . .  .  . .  . #> ZC3H10        . .  . .  . . .  . .  . .  1  .  1  .  .  . . . . . . 1 . . . . .  .  . .  .  1 . . . . .  . . . . .  . . .  .  . .  . #> ZC3H11A       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZC3H11B       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZC3H12A       . .  . 1  . . 1  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZC3H12B       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZC3H12C       . .  . .  . . .  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZC3H12D       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZC3H13        . .  1 .  2 . 2  . 1  1 .  .  .  1  1  .  . . . 1 2 . 1 . 1 . 2 .  .  . 1  .  . . 1 . . .  . 2 . . .  . . .  .  3 .  . #> ZC3H14        2 1  1 .  . 4 2  1 1  2 .  .  1  .  1  .  1 . 1 1 2 . . . 2 . . 2  1  1 .  .  2 . 2 1 . .  . 2 1 1 1  1 . 2  .  . 3  1 #> ZC3H15        1 1  . .  1 . 1  1 2  1 .  1  2  .  3  2  1 2 . . . . 1 . 1 3 . 1  .  2 .  1  2 . . . . 2  1 2 1 . 1  . . .  1  2 1  1 #> ZC3H18        2 .  . .  . . 1  . 1  . .  .  1  .  .  2  . 1 . . 1 . . 1 . . 2 1  .  . .  .  1 . . . . .  . . 1 . 2  . 1 .  .  . .  1 #> ZC3H3         . .  . .  . 1 1  2 .  . .  .  1  .  .  .  . . . . . . . 5 . 1 . .  .  . .  .  1 . . . . .  . 2 . . .  . . .  .  . .  . #> ZC3H4         2 .  . .  . . .  . .  . .  .  1  .  .  .  . 1 . 1 . . . . . . . .  .  . .  .  . . . . . .  1 . . 1 .  . . .  .  1 .  . #> ZC3H6         . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . 1 1 . 1  . 1 1  .  . .  . #> ZC3H7A        . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . 1 . .  .  1 .  .  1 . . . . .  . . . . .  . . .  .  . .  . #> ZC3H7B        . .  . .  1 . .  . 2  . .  .  .  3  .  1  . . . . . 3 . . 1 . . 1  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> ZC3H8         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 . . . . .  .  . .  .  . 1 . . . .  . . . . .  1 . .  .  1 .  . #> ZC3HAV1       . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  1 #> ZC3HAV1L      . .  1 .  . . .  . .  . .  .  .  .  .  .  1 . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZC3HC1        . .  . .  . . .  . .  . .  .  1  .  .  1  . . . . . . . . . . . 2  .  . .  .  . . 1 . . 1  . 1 . . .  . . .  .  . .  1 #> ZC4H2         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . 1 . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . 1  . #> ZCCHC10       1 1  . 1  . . .  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZCCHC12       . .  . 3  . . .  1 1  3 .  .  .  4  .  .  8 . . . . 1 2 2 . . . 1  1  . .  .  1 2 . 5 . .  2 2 . . .  . 1 .  4  . .  . #> ZCCHC14       . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> ZCCHC17       1 .  2 1  . 1 .  1 1  1 1  .  1  2  2  3  1 . 1 . . . . 1 . 2 . 3  1  1 1  .  1 1 1 1 . 1  2 . . . .  1 2 .  1  . 1  . #> ZCCHC18       . .  . 3  . . .  1 1  3 .  .  .  4  .  .  8 . . . . 1 2 2 . . . 1  1  . .  .  1 2 . 5 . .  2 2 . . .  . 1 .  4  . .  . #> ZCCHC2        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  1 .  .  . 1 . . . .  . . . . 1  . . .  .  . .  . #> ZCCHC24       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZCCHC3        . .  1 3  . 1 .  2 1  . .  1  .  2  1  1  2 . . . . 2 . . . . 1 .  1  . .  1  . . 1 . . .  1 . . . .  . . .  .  . .  . #> ZCCHC4        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZCCHC7        . .  . .  . 1 .  . .  . .  .  1  .  .  .  1 1 . . . . . . . . 2 .  .  . 1  .  . . . . 1 .  . . . . .  . . .  1  . .  1 #> ZCCHC8        1 1  1 .  . . .  . .  . .  .  .  .  1  1  1 . . . . 1 1 1 . . . 1  .  . .  .  . . . . . .  . . 1 . .  . . .  .  2 .  . #> ZCCHC9        . .  1 .  . . 1  2 .  . .  .  .  3  1  1  . . 2 . 1 . 1 . . . 1 .  1  1 .  1  . . . . . .  . 1 1 . .  . . .  .  . .  1 #> ZCRB1         4 .  6 3  1 2 .  3 1  . 1  1  .  2  1  4  3 . 1 1 2 2 1 1 2 3 3 3  5  8 1  .  . 1 1 1 . 2  4 2 1 2 2  . 1 4  2  2 3  1 #> ZCWPW1        . .  . .  . . .  . .  . .  1  .  .  .  .  . . 1 . . . . . . . 2 .  .  . 1  .  . . . . . .  . . . . 1  . . .  .  1 .  . #> ZDBF2         . .  . 1  . . .  1 1  . 1  .  1  3  .  1  2 . . 2 1 . 4 . 2 . . 2  1  1 .  .  . 2 . 2 . .  1 1 3 . .  1 1 2  .  . .  . #> ZDHHC1        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . 1 . .  . . .  1  . .  1 #> ZDHHC12       1 .  . 2  . 2 .  1 .  . .  2  .  .  .  1  . 2 . . 1 1 . . . 1 1 .  2  2 .  1  . . 1 . . 1  . 1 . . .  1 . .  1  . .  . #> ZDHHC13       . .  2 1  . . 1  . .  . 1  .  .  .  .  .  . . . . 1 . . . . . . 1  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZDHHC14       . .  . .  . . .  . .  . .  .  .  .  1  .  . . . 1 . . . 1 . . . .  .  . .  .  . . . . . .  . 1 . . .  . . .  .  . .  . #> ZDHHC15       1 .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZDHHC16       . .  . .  2 2 .  . .  . .  1  .  .  .  2  . . . 1 . . . . . . . .  .  1 2  .  . . . . . 1  . 1 . . .  . . 1  .  1 .  1 #> ZDHHC17       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . 1 . . .  1  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZDHHC18       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . 1 . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZDHHC2        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> ZDHHC20       . 1  . .  1 . .  1 1  2 1  1  .  .  1  .  . . 1 1 1 . 2 . . 1 . 3  .  . .  .  . 1 . . . .  1 . . . 1  . 1 .  .  . .  3 #> ZDHHC21       . .  . .  . 1 .  . .  . .  .  1  .  .  .  . . . . . . . . . . 1 .  1  . .  1  . . . 1 . .  . 1 . . .  . . .  .  . .  . #> ZDHHC23       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZDHHC24       . .  . .  1 . 1  . .  . .  .  .  .  .  .  1 . . . . . . . . . . .  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> ZDHHC3        . .  . .  . . .  . .  . 2  .  .  .  .  .  . 2 . . . . . . . . . .  1  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZDHHC4        . .  . .  . . .  . .  . .  .  1  .  1  1  1 1 . . . 1 . . . . . .  .  . 1  .  . . . 1 1 .  . . . 2 .  . . .  .  . .  . #> ZDHHC5        1 .  . .  . . .  . .  . .  .  .  .  .  .  1 . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZDHHC6        . 2  . .  . . .  . .  . .  1  .  .  1  .  1 . 1 . . 1 . . 2 . 2 .  .  . .  .  1 . 1 2 1 .  2 . 1 . .  . . 1  .  . 1  . #> ZDHHC7        . .  . .  . 1 .  1 .  . .  .  .  .  .  .  . . . . . . . . 1 . . .  .  . .  .  . . . . . .  1 . . . .  . . .  .  1 .  . #> ZDHHC8        . .  . .  . . .  . 1  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> ZDHHC9        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . 2 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZEB1          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZEB2          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZER1          . .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . 1 . . .  . . . . .  . . .  .  . .  . #> ZFAND1        1 .  . .  . . .  . 1  . .  .  .  .  2  .  1 . . 1 1 1 . . . . 1 .  .  . 2  1  . . . . . .  . . . . .  . . .  1  . .  . #> ZFAND2A       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> ZFAND2B       . 1  . .  . . .  1 .  . .  2  .  .  .  .  . . . . . . . 1 . . . .  1  . .  .  1 . . . . .  2 . . . .  . . .  .  1 1  . #> ZFAND3        . 3  . .  2 . .  . .  . 1  1  .  .  1  1  . 1 1 2 1 1 2 . . . . .  .  . .  1  . 2 . . . .  2 . 1 . .  . . .  1  . 1  . #> ZFAND4        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFAND5        . .  4 1  1 . 2  2 1  . .  4  1  2  1  .  1 1 1 . . . 1 2 . 2 1 .  1  . 1  3  . 1 . . 2 4  3 1 1 2 3  2 . .  2  2 .  4 #> ZFAND6        1 1  2 1  3 2 3  . .  1 3  3  2  .  1  1  . 1 3 2 2 2 2 1 2 3 2 1  2  2 3  5  2 2 1 1 1 2  3 . 2 3 3  2 . 1  .  2 4  2 #> ZFAT          1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . 1  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> ZFC3H1        . .  . .  1 . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . 1  . . .  .  . .  . #> ZFHX2         . .  1 2  . . .  1 .  . .  1  .  1  .  .  . . . . . . . 1 . . . .  .  2 .  .  . . . . . .  . 2 . . .  . 1 .  .  . .  1 #> ZFHX3         3 .  1 .  . 1 .  . 1  . .  .  .  .  2  2  . . 2 1 . 1 . 1 . . . .  .  1 1  .  1 . . . . 2  1 . . . .  . 1 .  .  . .  . #> ZFHX4         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFP1          . 1  . 1  . . .  1 .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . 1 . 1  . . . . .  . . .  .  1 .  . #> ZFP14         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFP2          . .  . .  . . .  . .  2 .  .  .  .  .  .  . . . 1 . . . . 1 . . .  .  . 1  .  . . . . . .  . . . . .  . . .  1  . .  . #> ZFP28         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFP3          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFP30         . .  . .  . 1 .  . .  . .  .  .  .  .  .  . . . . . . 1 . 1 . . .  .  . .  .  . 1 . . . .  . . . . .  1 1 .  1  . .  . #> ZFP36         . 1  . 1  1 . 1  . .  . .  1  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . 1 . 1  . . . . 1  . . .  .  . .  . #> ZFP36L1       . .  2 .  . . .  . .  . .  .  .  .  1  1  . . . 1 . . . . 1 . 1 .  .  . 2  .  . 1 . . . 3  . . . 3 1  . . .  .  . .  1 #> ZFP36L2       . .  . .  1 . .  . .  1 .  1  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> ZFP37         . .  . .  1 . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . 1  . . .  .  1 .  . #> ZFP41         1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFP57         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFP62         1 .  1 1  . . .  . 1  . .  .  .  .  .  1  . . . . . . . . . 1 1 .  .  . 1  .  . . . . . .  . . 1 . .  . . .  .  . .  . #> ZFP64         . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFP69         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFP82         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFP90         . 1  . .  . . .  . .  . .  .  .  .  .  .  . . . 2 . 1 . . . . . .  .  . .  .  . 1 . . . .  . . . . .  . . .  .  1 .  . #> ZFP91         . 2  1 3  . 1 .  . 1  1 1  .  1  .  .  1  . 4 1 . . 1 . . 2 . . 1  .  . .  1  1 . . 1 1 .  1 . . 2 1  . 1 .  2  1 1  . #> ZFP91-CNTF    . 2  1 3  . 1 .  . 1  1 1  .  1  .  .  1  . 4 1 . . 1 . . 2 . . 1  .  . .  1  1 . . 1 1 .  1 . . 2 1  . 1 .  2  1 1  . #> ZFP92         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFPL1         . .  . .  . . .  . .  . .  .  .  .  .  .  1 . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFPM1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 . . 2 . .  .  . .  1  . . . . 1 .  . 1 . . .  . . .  .  . .  2 #> ZFPM2         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFR           . .  3 2  . . .  4 1  2 .  .  1  1  .  .  . 1 . 1 . . 5 1 . 1 1 2  1  1 4  .  . 1 . 1 . .  3 1 . 3 .  1 . 1  2  . 1  1 #> ZFR2          . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFX           . .  . .  . . .  . .  . .  .  1  .  .  .  . . . 1 . . . . . . . .  .  2 .  .  . . . . . .  . . 1 . .  . . .  .  1 .  . #> ZFYVE1        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> ZFYVE19       2 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . 1  1  . .  1  . . . . . .  1 . . . 1  1 . .  1  . .  1 #> ZFYVE21       . .  . 1  . . 1  2 1  . .  .  1  2  2  .  . 1 . . . 1 1 2 1 . . 1  1  . 1  .  . 1 . . . .  2 1 1 1 .  . . 1  .  . .  . #> ZFYVE26       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFYVE27       1 .  1 .  1 . 2  . .  . .  .  .  .  .  .  . . . . . . 1 . . . . .  .  . .  .  . . . . . .  . . . . .  . 1 .  1  1 .  . #> ZFYVE9        1 .  . .  . . .  1 .  . 1  .  .  .  .  .  . . 1 . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> ZG16          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZG16B         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZGLP1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZGPAT         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZHX1          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZHX1-C8orf76  1 1  1 .  . . .  3 .  . .  .  .  .  1  1  1 . . 1 . 1 . 1 . . 1 1  .  . .  .  . 1 . . . .  2 . 1 1 1  . . .  1  . 1  . #> ZHX2          . .  . .  . . .  . .  1 .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  1 .  . #> ZHX3          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZIK1          . .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZKSCAN1       . .  1 .  . . 1  1 .  1 .  .  1  .  1  .  . . . 1 . 1 . 1 . . 1 1  .  . .  1  1 1 . . . .  1 . . . .  . . .  .  3 .  . #> ZKSCAN2       . .  . .  . . .  . .  . .  .  .  .  .  .  1 . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZKSCAN4       . .  . 1  . . .  . .  . 1  .  .  .  .  .  . . . . . 1 . 1 . . . .  .  1 1  .  2 . . . . .  1 . 1 . 2  . . .  1  . .  . #> ZKSCAN5       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> ZKSCAN7       . .  . .  . . .  . .  . .  .  .  .  .  .  . 1 . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZKSCAN8       . .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZMAT1         . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZMAT2         4 2  1 2  2 2 1  . .  1 .  .  .  2  1  2  1 2 1 . . . 1 . 2 1 1 .  2  1 3  2  2 . . 3 1 1  1 . 1 2 .  2 . .  2  1 2  2 #> ZMAT3         . .  . .  . . .  . .  . .  .  1  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZMAT5         . 1  . .  1 . .  1 1  . 2  .  .  1  .  1  1 . . . . . 2 . 1 . 1 .  1  1 .  1  1 . 1 3 1 1  1 . 1 1 .  . . .  .  . .  2 #> ZMIZ1         1 .  1 .  . . .  . .  1 .  .  .  .  .  .  . . . . 1 . . . . . . .  .  . .  .  . 1 . . . .  . . . 2 .  . . 1  .  . 2  . #> ZMIZ2         . 2  . 1  . 1 1  . .  . .  .  .  1  1  1  . 2 . 1 . . . . . 1 . .  .  . .  .  . 1 . 2 1 .  . . . . .  . . .  .  1 .  . #> ZMPSTE24      . .  1 .  . . .  1 2  . .  .  1  .  1  .  . . . . . . 1 . . . . .  .  . 1  .  . 1 . . 1 .  1 . . . .  . 2 .  .  1 .  . #> ZMYM1         . .  . .  . 1 .  1 .  . 1  .  .  .  .  .  1 1 . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZMYM2         . 1  . .  . . .  2 1  . .  .  .  .  .  .  . . . . . . . . . . . 1  1  1 .  .  . . . . . .  1 . . 1 .  . . .  .  . 2  . #> ZMYM3         . .  . .  . . .  . .  . .  .  .  .  1  .  . . 1 . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZMYM4         . .  1 .  . 1 .  1 .  . .  .  1  .  .  2  . . . . 1 . . . . . . .  .  . .  .  . . . 1 . 1  . . . 1 1  . . .  .  . .  . #> ZMYM5         . .  1 .  . . .  . .  . .  .  .  2  1  1  1 . 1 . . . . . . . 1 .  .  1 .  1  . . . . . .  . . 1 . 3  1 . .  .  1 .  . #> ZMYM6         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZMYND10       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZMYND11       . .  1 1  . 2 1  1 .  2 .  1  .  .  .  .  2 . 1 . . . 4 3 . 1 . .  2  1 .  1  . 1 . 1 . 1  2 . . . .  1 . 2  .  . .  . #> ZMYND12       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZMYND19       . .  . 1  1 . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> ZMYND8        1 .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . . . . 1 . .  .  . .  .  . . 1 . . .  . . . 1 1  1 . .  1  1 .  . #> ZNF106        . 1  2 .  . . .  1 1  . .  .  .  .  .  .  1 1 . . . 1 1 1 . . 1 .  .  . .  1  . . . 1 1 .  . 1 . . .  . . .  .  . .  . #> ZNF112        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF12         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF121        . .  . .  . . .  . .  . 1  .  .  .  .  2  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF124        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF131        . .  1 1  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 . . . 1 .  .  . .  .  . . . . . 1  . . . . .  1 . .  .  . .  . #> ZNF142        . .  . .  . . .  1 .  . .  .  1  .  .  .  1 . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF143        2 .  . .  . . .  1 .  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . .  .  2 . . . . .  . . . . .  . . .  .  . .  1 #> ZNF146        . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> ZNF148        . .  . 2  1 . .  1 1  . .  .  .  1  .  1  1 2 . . . . . . 1 1 . .  .  . .  1  . 1 . . . .  . . . . .  2 . .  1  . .  . #> ZNF160        . .  . .  . . .  . 1  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF169        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . 1  . #> ZNF174        . .  . .  . . .  . .  . .  .  1  .  .  .  1 . . . . . . . . . . .  .  . .  .  . 1 . . . .  . 1 . . .  . . .  .  . .  . #> ZNF18         . .  . .  . 1 1  . .  . .  .  1  .  .  .  . . . . . . 1 . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF180        . .  . .  1 . .  . .  . .  .  .  .  1  .  . . . . . . . . 1 . 1 .  .  . .  .  . 1 . . . .  . . . . 1  . . .  .  . .  . #> ZNF182        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF185        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF189        . .  . .  . . .  . .  . 2  .  .  .  .  .  . . . . . . . . . . 1 .  1  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF195        . 1  2 .  . 2 .  . 1  . .  .  .  .  .  1  . . . 1 . . . . . . . .  .  . .  .  1 . . . . .  . . . . .  . . .  .  . .  1 #> ZNF2          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  1  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF20         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF200        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . 1  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF202        . .  . .  . . .  . .  . .  .  1  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF205        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF207        . 1  1 .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . 1 .  . . . . .  . 1 .  1  . .  . #> ZNF212        . 1  . .  . . 1  . .  . .  .  .  .  1  .  . 1 . 1 . . 1 . . . . .  1  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> ZNF213        1 .  . .  2 1 .  . .  . .  .  .  .  .  .  1 . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF217        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> ZNF219        2 .  1 .  . 1 .  . 1  . .  .  .  .  .  .  . . . . 1 . . 2 1 1 . .  .  . .  4  . . . . . .  . . 1 . .  . . .  .  1 .  . #> ZNF22         . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . 1 . .  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> ZNF226        . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF23         . 1  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . 1 . 1 . . .  .  . .  .  . . . . . .  . 1 . . .  . . .  1  . .  . #> ZNF233        . .  1 .  . . .  . .  . .  .  .  .  .  .  . . 1 . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . . 1  .  . .  . #> ZNF236        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  . 1 . . .  1 . .  .  . .  . #> ZNF239        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . 1  . #> ZNF24         1 .  1 .  1 . .  . .  1 1  .  .  .  1  .  1 . . 1 . . . . . 1 . .  .  . .  2  . . . . . 1  . . . . .  . . 1  .  1 .  2 #> ZNF248        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> ZNF25         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF251        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF260        . .  . .  . . .  . .  . .  1  .  .  .  1  1 1 . 1 . . . . . . . .  .  . .  .  . . . . . .  1 . . . 1  . . .  .  . .  . #> ZNF263        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  1  . .  .  . . 1 1 . .  . . . . 2  . 1 .  1  . .  2 #> ZNF266        . .  . 1  . . 1  2 2  . .  .  .  .  1  .  . 1 . . . . 1 . . . . .  .  . 1  2  . . . 1 . .  . . . . .  . . .  1  . .  2 #> ZNF274        1 .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . 2 .  . . .  .  1 .  . #> ZNF276        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> ZNF277        1 .  1 .  2 . .  . .  . .  .  .  .  2  .  . . . . . . . . 1 . . .  1  . .  2  . . . . . .  . . . . .  . . .  .  . .  1 #> ZNF280B       . .  . 1  . . .  1 .  . .  .  .  .  .  .  . . . . . . . 1 . 1 . .  .  . .  .  1 . 1 . . .  . . . . .  1 . 1  .  . .  . #> ZNF280C       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . 1 .  . 1 .  .  . .  . #> ZNF280D       . 1  . .  . . .  . .  . .  .  .  .  .  .  . . 1 . . . . 1 . . . .  .  . .  .  . . . . . 1  . 1 . . 1  1 1 .  .  . .  . #> ZNF281        . .  . .  . . .  2 .  . .  .  .  .  2  .  . . . . . 1 . 3 . . . .  .  . .  .  . . . . . 1  . . . . .  1 . 2  .  . .  . #> ZNF282        . .  3 .  2 . .  . .  . .  .  .  .  .  .  . 1 . . 1 . 1 . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF286A       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF287        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF292        . 2  . .  . 1 .  1 .  1 .  1  2  1  1  .  . . 1 1 . 2 . . . . . .  1  1 2  2  . 1 1 . 2 .  . . . 1 .  . . 1  1  1 .  1 #> ZNF296        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF316        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  1 .  .  . 1 . . . .  . . . . .  . . .  .  . .  . #> ZNF317        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  1 . 1  .  . .  . #> ZNF318        . .  . .  . . .  . .  1 .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF319        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  1 . .  .  . .  1 #> ZNF32         3 .  4 1  . . .  1 .  1 .  2  1  .  .  1  2 4 2 . . . . 2 . 1 2 1  1  . 3  .  . 1 . 2 . 1  . . . 3 .  . . .  .  1 .  1 #> ZNF322        . .  1 .  . 1 1  . 1  . .  .  .  .  1  .  . . 1 . . 2 . 1 . . . .  .  . .  .  1 . . . 1 .  1 1 . . .  . . .  .  . .  1 #> ZNF324        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> ZNF324B       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> ZNF326        1 .  . .  . 1 .  . .  . 1  .  .  .  .  .  . 1 1 . . . . . 2 . . .  .  . 1  1  1 . . . 1 .  . . . . .  1 . .  2  . .  1 #> ZNF329        . 1  . .  . . 1  1 .  . 1  .  1  .  .  1  . 3 . . . 1 2 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . 1  .  1 .  . #> ZNF330        . 1  . .  1 . .  2 .  . .  1  1  .  .  .  . . . . . . 1 2 . . . .  .  . .  .  . . . 1 . 1  . . . . 2  1 . .  .  . .  . #> ZNF334        . .  . .  1 . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF335        . .  . .  . . .  . .  . .  1  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF337        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF34         2 .  2 .  . 1 .  1 1  . 1  .  .  3  .  .  . . . . . . . 1 . . . .  .  . .  .  . 1 . . . .  3 . 1 . 1  1 1 .  1  1 .  . #> ZNF341        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF345        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF346        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF35         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> ZNF354A       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . 1 . . .  . . . . 1  . . .  .  . .  . #> ZNF354B       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF354C       . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . 1 . .  . . .  .  . .  . #> ZNF358        . .  . .  . 1 .  . .  . .  1  .  .  .  .  . . . . 1 1 . . . . . 1  1  . 2  1  . . . . 2 .  4 . . . 1  1 . .  .  1 .  . #> ZNF362        . .  . .  . . .  . .  1 .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . 1  . #> ZNF365        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF367        . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF382        . .  . .  . . .  . .  . .  .  .  .  .  .  . . 1 . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF383        . .  2 .  . 1 .  . .  . .  1  .  .  .  .  . . . . . . . . . . . .  1  . .  .  . . 1 . . .  . . . . .  . . .  .  . .  . #> ZNF384        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . 1 . . .  . . . . .  . . .  .  . .  1 #> ZNF385A       . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> ZNF385B       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF385C       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> ZNF394        . .  . .  . . .  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  .  . .  1  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF395        . .  . .  1 . .  . .  . .  1  .  .  2  .  . . . 1 . . . . . . 1 .  .  2 1  .  . 1 . . . 1  . 1 . 1 .  . . 1  .  . .  . #> ZNF397        . .  . 1  . . .  . .  . .  .  .  2  .  2  . . . . . . . . 1 . 1 .  .  . 1  1  . . . 1 . .  . . . . .  . . .  1  . .  . #> ZNF398        . .  . .  . . .  . .  . .  .  .  1  .  .  . . . 1 . . . . . . . .  .  . .  1  . . . . . .  1 . . . .  . . .  .  . .  . #> ZNF408        . .  . .  . . .  . .  . 1  .  1  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF410        . 1  . .  . 2 .  1 1  . .  2  1  .  .  .  1 . . . 2 . . . 1 1 . .  .  . .  .  . . . . . .  1 . . . 1  . . .  .  . .  . #> ZNF414        . .  1 2  . . .  . .  . 1  .  .  .  1  2  1 . 2 . . . . . 1 . . .  .  . .  .  . . 1 . . .  1 . . . .  . . .  .  . .  1 #> ZNF418        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . 1 .  .  . .  . #> ZNF419        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . 1 .  .  . .  . #> ZNF420        . .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  1 . .  .  . .  . #> ZNF423        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF426        . .  . .  . . .  . .  . .  1  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 2 . . .  . . .  .  . .  . #> ZNF428        3 .  . .  . 1 .  . .  1 .  .  .  .  .  3  2 . . . . . . 1 . 1 . .  .  2 .  1  . 1 . 1 . 1  . . . . .  1 1 .  .  1 .  . #> ZNF429        . 1  2 .  . 2 .  . 1  . .  .  .  .  .  1  . . . 1 . . . . . . . .  .  . .  .  1 . . . . .  . . . . .  . . .  .  . .  1 #> ZNF433        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF436        . .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . 1 . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  1 .  . #> ZNF438        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . 1 . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF439        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF440        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF444        2 .  1 2  . . .  . .  . .  .  .  .  .  .  1 . 1 . . . . . . 2 1 .  1  . .  2  1 1 . . . .  1 . . . .  1 1 .  .  . 2  . #> ZNF445        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  1  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF446        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF449        . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . . . 1 . . . .  .  . .  .  . 1 . . 1 .  . . . . .  . . .  .  . .  . #> ZNF45         . .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF451        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . 1 . .  .  . .  .  1 . . . . .  . . . . .  . . .  .  . .  . #> ZNF454        . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF462        . .  . .  1 . .  . 1  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF467        1 .  . .  . . .  . .  . .  .  .  .  .  .  . . 1 . . . . . . . . .  .  . 1  .  . 1 1 . . .  . . 1 . .  . . .  .  . .  . #> ZNF473        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF48         . .  2 .  . . .  . 1  . .  .  .  .  .  .  . . . . . . . 1 1 . . .  .  . .  .  . . 1 . 3 .  1 . . . 1  . . .  .  2 .  . #> ZNF480        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . 1 .  .  . .  . #> ZNF483        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> ZNF487        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF491        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF496        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF503        . .  . .  . . .  . .  . 1  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . 1 .  . . . . .  1 . .  1  . .  . #> ZNF507        1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF511        . .  1 .  . 1 .  . .  1 1  .  1  .  2  .  . . . . . . 1 . 1 . . 1  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF511-PRAP1  . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF512        . .  1 .  . . .  . .  . .  .  .  .  .  .  1 . . 1 . . 1 . . . . .  .  . .  .  . . . 1 1 .  . . . . .  . . .  .  . .  2 #> ZNF512B       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . 1  .  . . . . . .  . 1 . . .  . . .  .  . .  . #> ZNF513        . 1  . .  . . .  . .  . .  1  .  .  .  .  1 . . 2 . . . . 2 . . .  .  2 .  1  . . . . 1 .  1 . . . .  . . .  1  1 .  . #> ZNF516        . .  . .  . . .  . .  . .  .  .  .  .  .  . . 1 . 1 . . 1 . 1 . .  1  . .  .  . . . 2 1 .  1 1 . . .  . . .  .  1 1  . #> ZNF517        . .  2 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  1 #> ZNF518A       . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  1  . . . . . .  . . . . 1  . . .  .  . .  . #> ZNF518B       . .  . .  . . .  . 1  . .  .  .  .  .  .  . . . . . . . . 1 . . .  .  . 1  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF521        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF526        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF532        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  1  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF536        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF541        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF551        . .  . .  . . .  . .  . .  1  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF552        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . 1 .  .  . .  . #> ZNF554        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF555        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF556        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF558        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF560        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF561        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . 1 .  .  . .  . #> ZNF562        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . 1 .  .  . .  . #> ZNF566        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF569        . .  . .  . . .  . .  . .  .  .  .  .  .  . . 1 . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF570        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . 1 . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF574        1 .  1 .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . 2  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  1 #> ZNF575        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF583        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . 1 . . . .  1 . . . .  . . .  .  . .  . #> ZNF586        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . 1 .  .  . .  . #> ZNF587B       . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . 1 .  .  . .  . #> ZNF592        . .  . .  1 . .  . .  . .  .  .  .  .  .  . 1 . . . . . . . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  . #> ZNF593        1 .  . .  1 . .  . .  . .  .  .  .  1  1  1 . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF597        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF598        . .  . .  . . .  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  .  . 1  .  . . 1 2 . 1  . . . . .  . . 1  .  . .  . #> ZNF605        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF606        . .  . .  . . .  . .  . .  1  .  .  1  .  . . . . . . . . . . . .  .  . .  .  1 . . . . .  . . . . .  . . .  1  . .  . #> ZNF608        . .  . .  . . .  . .  . .  .  .  .  .  .  . 1 . . . . . . . . . .  .  1 .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> ZNF609        . .  . .  . 1 .  . .  . .  .  .  .  .  .  . . . . . . . . . 1 . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF610        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . 1 .  .  . .  . #> ZNF618        1 .  . 1  . . .  . 1  . .  .  .  .  2  .  . . . . 1 . . . . . 1 .  .  1 .  .  . . 1 . . 1  1 . . . .  . . .  .  . .  . #> ZNF622        1 .  . .  1 . 1  2 1  . 2  .  1  1  1  1  1 . . . . . . . 1 . . 1  .  . 2  1  . 2 . . . .  . . 1 . 2  . . 1  .  2 1  . #> ZNF623        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 . . . . .  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> ZNF627        . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF628        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  1  . .  .  . . . . . .  1 . . . .  . . .  .  . 1  . #> ZNF629        . .  1 .  . . .  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  .  . .  .  . 1 . . . .  1 . . 1 .  . . .  .  1 .  . #> ZNF638        2 .  . .  . . 1  . 2  . .  3  1  1  .  .  1 . . 1 . . . . . . . .  .  . 2  .  1 . . . . .  1 1 . . .  . . .  .  1 .  1 #> ZNF639        . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . 1 . . . .  .  . .  .  . . . 1 . .  1 . . . .  1 . .  .  1 1  . #> ZNF641        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> ZNF644        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  . #> ZNF646        1 .  1 .  . . .  . .  . .  1  .  .  .  .  . . . . . . 1 1 2 . . .  .  . 1  .  . . . . . .  . . . . .  1 . .  .  . .  2 #> ZNF652        1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF653        . .  . .  . . .  . .  . .  .  .  .  .  .  . . 1 . . . . . . 1 . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF654        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF655        1 .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  1 . . 1 . .  . . . 1 .  . . 1  .  1 .  . #> ZNF664        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> ZNF665        . .  . .  . . .  . 1  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF667        . .  . .  . . .  2 .  . .  .  .  1  1  1  1 . . 1 . . . . . . . 1  .  1 .  .  . . . 2 . .  . 2 . . .  . . .  1  . .  . #> ZNF668        1 .  . .  . . .  . .  . 1  .  .  .  .  1  . . . . . . . . . 1 . .  .  1 .  1  . . . 1 . .  1 . . . .  . . 1  .  . 1  . #> ZNF669        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF672        . 1  . .  . . .  1 .  . .  .  .  .  .  .  . . 1 . . . 1 . . 1 . .  .  1 .  .  1 . 1 . . 1  . . . . .  . . .  1  . .  . #> ZNF674        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF687        . .  . .  1 . .  1 .  . .  .  1  .  .  .  . 1 . . . . . . . . . .  .  . .  .  1 . . . . 1  . . . . .  . . .  .  . .  . #> ZNF688        2 .  1 .  . . .  . 1  . 1  .  .  .  .  .  . . . . . . 1 1 . . . .  .  . .  .  . . . . . .  . 1 . . .  . . .  .  . .  1 #> ZNF689        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF69         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF691        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  . #> ZNF692        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . 1 .  . . . 1 .  . . .  .  . 2  . #> ZNF697        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF7          . .  . .  . . 1  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . 1 . . 1 .  1 . . . .  . . .  .  . .  . #> ZNF700        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF703        . 2  . .  3 . 1  . .  . .  1  1  .  1  .  . 1 . . . 1 . 1 1 . . .  1  . 1  2  2 1 . . 1 .  . . . . 1  1 . 1  .  . .  1 #> ZNF704        . .  1 .  . . .  . .  . .  .  1  .  .  .  1 . . . . . . . 1 . . .  .  . 1  .  . . . . . .  1 . . 2 .  . . .  .  . .  . #> ZNF705A       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF705B       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF705D       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF705E       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF705G       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF706        5 4  5 1  3 7 .  3 1  . 4  1  2  .  3 18  2 . 3 2 1 2 . 1 3 . 2 1  2  5 2  2  4 2 1 2 3 3  1 . . 4 2  3 1 2  3  1 2  5 #> ZNF711        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF713        . .  . .  . . .  . .  . .  .  .  .  1  .  . . . 1 . . . . . . . .  1  . .  1  1 . . . . .  . . . 1 .  . . .  .  . .  . #> ZNF721        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . 1 . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF727        . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF736        . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF740        . .  . .  . 1 .  . .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  1  . .  . #> ZNF746        . .  . .  . . .  . .  . .  1  .  1  .  .  . . . . . 1 . . . 1 . .  .  . .  .  . . . . 1 .  1 1 . . .  . . .  .  . .  . #> ZNF747        1 .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  . . . 1 .  . . .  .  . .  . #> ZNF749        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF750        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF76         . .  . .  . . .  . .  . .  .  .  .  .  .  . . 2 . . . . . . . 1 .  .  1 .  .  . . . . . .  1 . . . 1  . . .  .  . .  . #> ZNF763        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF764        1 .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  . . . 1 .  . . .  .  . .  . #> ZNF768        . .  1 1  . . 1  . .  . .  .  .  .  1  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . 1  . 1 1 . .  . . .  .  . .  . #> ZNF770        . .  . .  . . .  . .  . .  .  .  .  1  1  1 . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF771        2 .  1 1  . 1 .  . 1  . .  .  .  .  1  .  1 . . . . . . . . . . 3  .  . .  .  . 1 . . 1 1  . 2 1 . 1  . . .  .  1 1  2 #> ZNF777        . .  1 .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . . .  .  . .  . #> ZNF778        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF780A       . .  . .  . . .  . .  1 .  .  1  .  .  .  1 . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . 1  . . 1  .  . .  1 #> ZNF781        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . 1  . . .  .  . .  . #> ZNF784        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> ZNF786        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF787        . .  . 1  2 1 .  . .  . 1  1  1  .  .  .  1 . . . . . 1 . 1 . . .  .  . .  .  . . . . . 2  1 . . . .  . . 1  .  . 1  . #> ZNF8          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . 1  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF800        . .  . .  . . .  . .  . .  .  .  .  .  1  . . . 1 . . . . 1 . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> ZNF804A       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF821        1 1  1 .  . . .  . .  . .  .  1  2  .  1  . . 1 . 1 . . . . 1 . .  .  . 1  .  . . . . . .  . . . . 2  1 . 1  1  . .  . #> ZNF827        . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . .  .  1 . 1 . . .  . . . . .  . . .  1  . 1  . #> ZNF830        1 1  1 .  2 1 .  . .  . .  1  .  .  .  1  . 1 . 1 . 1 1 . 1 2 . .  .  . .  1  1 1 . . . .  2 . . . 1  . . .  2  . 1  1 #> ZNF839        . .  . .  . . .  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . . .  .  . .  . #> ZNF845        . .  . .  1 . .  . .  . .  .  .  .  .  .  . . . . 1 . . . . . . .  .  . 1  1  . . 1 . . .  1 . . . .  . . .  .  . .  1 #> ZNF850        . .  . 1  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF879        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . 1 . . . .  . . . . .  . . .  2  . .  . #> ZNF891        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNFX1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . 1 . . . . . . .  .  . .  .  . . . . . .  . . 2 . .  . . 1  .  . .  . #> ZNHIT1        1 1  3 1  2 1 .  1 .  2 .  2  1  2  .  1  1 3 . 2 . 1 1 2 . . 2 .  4  . 2  .  1 . 2 5 . 2  . 1 3 1 .  . 3 2  .  3 .  3 #> ZNHIT2        . .  1 1  . 1 .  . .  . 1  .  1  .  .  2  1 . 1 . . 1 . 1 . . 2 1  .  . .  .  . . 1 . . .  . 1 1 . .  . 1 1  .  . 1  . #> ZNHIT3        1 1  2 .  1 . .  1 .  . .  .  .  .  1  1  . 1 . . . . 1 . 2 . . 1  1  . .  1  . . . . . .  2 . . . .  1 . 1  .  1 1  . #> ZNHIT6        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . 2 . . . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  . #> ZNRF1         . 1  . .  . 1 1  1 .  . .  1  .  .  .  .  . 1 . . 2 . 1 . . 1 . .  1  . .  3  . . . . . .  1 1 1 . .  . . .  .  . .  . #> ZNRF2         . .  . .  1 . .  . .  . .  .  .  .  3  .  . . . . . 1 . . . . . .  1  1 1  .  . . . . 1 .  . . . . 1  . . 1  .  1 1  . #> ZNRF3         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  1  . .  .  . . . . . .  . . 1 . .  . 1 .  .  . .  . #> ZPBP          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZPBP2         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZPR1          1 .  . 1  . 1 .  . .  . 1  .  .  .  1  .  . . . 1 . . 1 . . 1 1 1  .  . .  1  . . . . . 1  . . 1 . 1  . 1 .  1  . .  . #> ZRANB1        . 1  1 .  . . .  1 .  1 1  2  1  .  1  1  . . . . 1 2 2 1 . 1 . 1  .  . .  .  1 . . . 1 .  . . . . .  1 . 1  1  . .  1 #> ZRANB2        . .  2 1  . . 1  1 1  1 .  .  .  2  .  2  1 . 1 . . 1 1 1 1 . . .  .  2 2  .  1 1 . . . .  1 . . . .  . . 1  1  1 2  1 #> ZRANB3        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . 1  . #> ZRSR2         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZSCAN10       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZSCAN12       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . 1 . . .  . . 1 . 1  . . .  .  1 .  . #> ZSCAN18       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZSCAN2        . .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . . 1 . . . 1  .  . .  .  . . . . . .  1 . . . .  . 1 .  .  . .  . #> ZSCAN20       . .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZSCAN21       . .  1 1  . . .  . .  . .  .  1  .  .  .  . . 1 . 2 . . . 1 . . .  .  . .  .  . . . . . 1  2 1 . 1 .  . 1 .  .  . 1  . #> ZSCAN22       . .  . .  . . .  1 .  . .  .  .  .  .  .  . . 1 . . 1 . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZSCAN25       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZSCAN26       . .  2 .  . . .  1 .  . .  .  .  .  .  1  . . 1 . 1 . . . . . . .  1  . .  .  . . . . . .  1 . . . .  . 1 .  2  . 1  . #> ZSCAN29       . .  . .  . . .  . .  . .  .  .  .  .  .  . . 1 . . . . . . . . .  .  . .  .  . . . . . .  . . . . 1  . . .  .  . .  . #> ZSWIM1        . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . 1 . 1 1  .  . .  .  . . . . . .  1 . . 1 .  . . .  .  . .  . #> ZSWIM3        . .  . .  1 . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZSWIM4        . 1  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  1 . . . . .  . . . . .  . . .  .  . .  . #> ZSWIM5        . .  . .  . . .  . 1  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZSWIM6        1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZSWIM7        . .  . .  . . .  . .  . .  .  .  .  .  1  . . . 1 . . . . . . 1 .  1  . 1  .  . 1 . . . .  1 . . 1 .  . . .  .  . .  . #> ZSWIM8        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . 1 . . . . 1 . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  . #> ZW10          . .  . .  . . .  . .  . .  .  1  .  .  1  . . 1 . 1 . . . . . . .  .  . .  .  . . . . . .  . . 1 . .  . . .  .  . .  . #> ZWILCH        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  1 . . 1 .  . . .  .  . .  . #> ZWINT         1 .  . 2  1 1 .  2 3  1 1  .  .  3  1  4  3 . . 1 . 2 . 3 1 . 2 3  2  6 .  1  3 2 7 . . .  . 1 2 . 1  1 . 1  1  . 1  1 #> ZXDC          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZYG11B        . .  2 1  . . .  . .  . .  .  1  1  .  .  . . . . . . . . 1 . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . 1  . #> ZYX           . .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZZEF1         . .  . .  . . .  1 1  . .  .  .  .  .  .  . . . . . . . . . . 1 .  1  . .  .  . . . . . .  . . . . .  . 1 .  .  . .  . #> ZZZ3          1 .  1 .  . . .  . .  . .  .  .  .  .  1  . . . 1 . . . 1 . . . .  1  1 .  .  . . . . . 1  . 1 . . .  . . .  .  2 .  . #>                          #> UBR3         .  1 ...... #> UBR4         1  . ...... #> UBR5         1  . ...... #> UBR7         .  . ...... #> UBTD1        .  . ...... #> UBTD2        .  . ...... #> UBTF         .  1 ...... #> UBXN1        4  . ...... #> UBXN10       .  . ...... #> UBXN11       .  . ...... #> UBXN2A       .  . ...... #> UBXN2B       .  . ...... #> UBXN4        1  3 ...... #> UBXN6        .  1 ...... #> UBXN7        .  1 ...... #> UBXN8        .  . ...... #> UCHL1        1  1 ...... #> UCHL3        .  . ...... #> UCHL5        .  . ...... #> UCK1         .  . ...... #> UCK2         1  . ...... #> UCKL1        .  . ...... #> UCN3         .  . ...... #> UCP2         .  . ...... #> UEVLD        .  . ...... #> UFC1         .  5 ...... #> UFL1         .  . ...... #> UFM1         1  3 ...... #> UFSP1        .  . ...... #> UFSP2        .  . ...... #> UGCG         1  . ...... #> UGDH         .  . ...... #> UGGT1        .  2 ...... #> UGGT2        .  . ...... #> UGP2         .  . ...... #> UGT1A6       .  . ...... #> UGT8         .  . ...... #> UHMK1        .  . ...... #> UHRF1        .  . ...... #> UHRF1BP1     .  . ...... #> UHRF1BP1L    .  . ...... #> UHRF2        .  1 ...... #> UIMC1        .  1 ...... #> ULK1         .  . ...... #> ULK2         .  . ...... #> ULK3         .  . ...... #> ULK4         .  . ...... #> UMODL1       .  . ...... #> UMPS         .  . ...... #> UNC119       .  1 ...... #> UNC119B      .  . ...... #> UNC13A       .  . ...... #> UNC13B       .  . ...... #> UNC13C       .  . ...... #> UNC13D       .  . ...... #> UNC45A       .  . ...... #> UNC50        .  1 ...... #> UNC5A        .  . ...... #> UNC5B        .  . ...... #> UNC5C        .  . ...... #> UNC5D        .  . ...... #> UNC79        .  . ...... #> UNC80        .  . ...... #> UNC93B1      .  . ...... #> UNG          .  . ...... #> UNK          .  . ...... #> UNKL         .  . ...... #> UPB1         .  . ...... #> UPF1         .  2 ...... #> UPF2         .  2 ...... #> UPF3A        .  . ...... #> UPF3B        .  1 ...... #> UPK1A        .  . ...... #> UPK1B        .  . ...... #> UPK3A        .  . ...... #> UPK3B        .  . ...... #> UPK3BL1      .  . ...... #> UPK3BL2      .  . ...... #> UPP1         .  . ...... #> UPP2         .  . ...... #> UPRT         .  . ...... #> UQCC1        .  . ...... #> UQCC2        2 12 ...... #> UQCC3        1  2 ...... #> UQCR10       3  2 ...... #> UQCR11       1  7 ...... #> UQCRB        3  7 ...... #> UQCRC1       2  . ...... #> UQCRC2       1  . ...... #> UQCRFS1      .  1 ...... #> UQCRH        5  5 ...... #> UQCRHL       5  5 ...... #> UQCRQ        .  4 ...... #> URB1         .  . ...... #> URB2         .  . ...... #> URGCP        .  . ...... #> URI1         .  . ...... #> URM1         2  . ...... #> UROD         .  . ...... #> UROS         1  . ...... #> USB1         .  . ...... #> USE1         3  . ...... #> USF1         .  . ...... #> USF2         .  . ...... #> USF3         .  . ...... #> USH1C        .  . ...... #> USH1G        .  . ...... #> USH2A        .  . ...... #> USHBP1       .  . ...... #> USO1         .  1 ...... #> USP1         .  . ...... #> USP10        .  . ...... #> USP11        .  . ...... #> USP12        .  . ...... #> USP13        .  . ...... #> USP14        .  . ...... #> USP15        .  . ...... #> USP16        .  . ...... #> USP18        .  . ...... #> USP19        .  . ...... #> USP2         .  . ...... #> USP20        .  . ...... #> USP21        .  . ...... #> USP22        3  1 ...... #> USP24        .  . ...... #> USP25        .  . ...... #> USP27X       .  . ...... #> USP28        .  . ...... #> USP29        .  . ...... #> USP3         .  . ...... #> USP30        .  . ...... #> USP31        .  . ...... #> USP32        .  . ...... #> USP33        1  . ...... #> USP34        .  1 ...... #> USP35        .  1 ...... #> USP36        .  . ...... #> USP37        .  . ...... #> USP38        .  . ...... #> USP39        1  . ...... #> USP4         2  . ...... #> USP40        1  . ...... #> USP41        .  . ...... #> USP42        .  . ...... #> USP43        .  . ...... #> USP44        .  . ...... #> USP45        .  . ...... #> USP46        .  . ...... #> USP47        .  . ...... #> USP48        .  . ...... #> USP49        .  . ...... #> USP5         .  1 ...... #> USP50        .  . ...... #> USP51        .  . ...... #> USP53        1  . ...... #> USP54        .  1 ...... #> USP6         .  . ...... #> USP6NL       .  . ...... #> USP7         .  1 ...... #> USP8         .  . ...... #> USP9X        .  . ...... #> USPL1        1  1 ...... #> UTP14A       .  . ...... #> UTP14C       .  . ...... #> UTP15        .  . ...... #> UTP18        .  1 ...... #> UTP20        .  . ...... #> UTP23        .  . ...... #> UTP3         1  . ...... #> UTP6         .  . ...... #> UTRN         .  . ...... #> UTY          .  . ...... #> UVRAG        .  . ...... #> UVSSA        .  . ...... #> UXS1         .  1 ...... #> UXT          .  . ...... #> VAC14        .  . ...... #> VAMP1        .  . ...... #> VAMP2        .  . ...... #> VAMP3        .  . ...... #> VAMP4        .  . ...... #> VAMP5        .  . ...... #> VAMP8        2  . ...... #> VANGL1       .  . ...... #> VANGL2       .  . ...... #> VAPA         .  3 ...... #> VAPB         2  3 ...... #> VARS1        .  . ...... #> VARS2        .  . ...... #> VASH1        .  . ...... #> VASH2        .  . ...... #> VASP         .  . ...... #> VAT1         1  . ...... #> VAT1L        .  1 ...... #> VAV1         .  . ...... #> VAV2         .  . ...... #> VAV3         .  . ...... #> VBP1         .  . ...... #> VCAM1        .  . ...... #> VCAN         .  . ...... #> VCL          .  . ...... #> VCP          2  3 ...... #> VCPIP1       .  . ...... #> VCPKMT       .  . ...... #> VDAC1        1  1 ...... #> VDAC2        3  2 ...... #> VDAC3        5  . ...... #> VDR          .  . ...... #> VEGFA        .  . ...... #> VEGFB        .  . ...... #> VEGFC        .  . ...... #> VEPH1        .  . ...... #> VEZF1        1  . ...... #> VEZT         .  . ...... #> VGF          .  . ...... #> VGLL1        .  . ...... #> VGLL2        .  . ...... #> VGLL4        .  1 ...... #> VHL          .  . ...... #> VHLL         .  . ...... #> VIL1         .  . ...... #> VILL         .  . ...... #> VIM          .  . ...... #> VIPAS39      1  . ...... #> VIPR1        .  . ...... #> VIPR2        .  . ...... #> VKORC1       .  . ...... #> VKORC1L1     .  . ...... #> VLDLR        .  1 ...... #> VMA21        .  . ...... #> VMAC         1  . ...... #> VMP1         2  . ...... #> VN1R5        .  . ...... #> VNN1         .  . ...... #> VOPP1        .  . ...... #> VPREB1       .  . ...... #> VPS11        .  . ...... #> VPS13A       .  . ...... #> VPS13B       .  . ...... #> VPS13C       .  1 ...... #> VPS13D       .  1 ...... #> VPS16        .  . ...... #> VPS18        .  . ...... #> VPS25        .  . ...... #> VPS26A       .  . ...... #> VPS26B       .  . ...... #> VPS29        2  1 ...... #> VPS33A       .  . ...... #> VPS33B       .  . ...... #> VPS35        .  2 ...... #> VPS36        .  1 ...... #> VPS37A       1  . ...... #> VPS37B       .  1 ...... #> VPS37C       .  . ...... #> VPS37D       .  . ...... #> VPS39        .  . ...... #> VPS41        .  . ...... #> VPS45        .  . ...... #> VPS4A        .  . ...... #> VPS4B        .  1 ...... #> VPS50        .  . ...... #> VPS51        .  . ...... #> VPS52        .  . ...... #> VPS53        .  . ...... #> VPS54        .  . ...... #> VPS72        3  3 ...... #> VPS8         .  . ...... #> VPS9D1       1  . ...... #> VRK1         .  . ...... #> VRK2         .  . ...... #> VRK3         .  . ...... #> VSIG1        .  . ...... #> VSIG10       .  . ...... #> VSIG10L      .  . ...... #> VSIG2        .  . ...... #> VSIG8        .  . ...... #> VSIR         .  . ...... #> VSNL1        .  . ...... #> VSTM2A       .  . ...... #> VSTM2B       .  . ...... #> VSTM2L       .  . ...... #> VSTM4        .  . ...... #> VSTM5        .  . ...... #> VTA1         .  . ...... #> VTCN1        .  . ...... #> VTI1A        .  . ...... #> VTI1B        .  1 ...... #> VTN          .  . ...... #> VWA1         .  . ...... #> VWA2         .  . ...... #> VWA3B        .  . ...... #> VWA5A        .  . ...... #> VWA5B1       .  . ...... #> VWA5B2       1  . ...... #> VWA8         .  . ...... #> VWC2         .  . ...... #> VWCE         .  . ...... #> WAC          .  . ...... #> WAPL         .  . ...... #> WARS1        .  . ...... #> WARS2        .  . ...... #> WASF1        .  . ...... #> WASF2        .  . ...... #> WASF3        .  . ...... #> WASL         .  1 ...... #> WBP1         1  1 ...... #> WBP1L        1  . ...... #> WBP2         1  . ...... #> WBP4         .  . ...... #> WDFY1        .  . ...... #> WDFY3        .  1 ...... #> WDHD1        .  . ...... #> WDPCP        .  . ...... #> WDR1         .  1 ...... #> WDR11        .  . ...... #> WDR12        1  . ...... #> WDR13        .  . ...... #> WDR18        .  . ...... #> WDR19        .  . ...... #> WDR20        .  . ...... #> WDR24        .  . ...... #> WDR25        .  . ...... #> WDR26        .  . ...... #> WDR3         .  . ...... #> WDR31        .  . ...... #> WDR33        .  . ...... #> WDR35        .  . ...... #> WDR36        .  . ...... #> WDR37        .  . ...... #> WDR4         .  . ...... #> WDR41        .  . ...... #> WDR43        .  . ...... #> WDR44        .  . ...... #> WDR45        .  . ...... #> WDR45B       .  . ...... #> WDR46        .  . ...... #> WDR47        .  . ...... #> WDR48        .  . ...... #> WDR49        .  . ...... #> WDR5         .  . ...... #> WDR53        .  . ...... #> WDR54        .  . ...... #> WDR55        .  . ...... #> WDR59        .  . ...... #> WDR5B        .  . ...... #> WDR6         .  1 ...... #> WDR61        2  . ...... #> WDR62        .  . ...... #> WDR7         .  . ...... #> WDR70        .  . ...... #> WDR72        .  . ...... #> WDR73        .  . ...... #> WDR74        1  . ...... #> WDR75        .  . ...... #> WDR76        .  . ...... #> WDR77        .  . ...... #> WDR81        .  . ...... #> WDR82        .  1 ...... #> WDR83        .  . ...... #> WDR83OS      .  1 ...... #> WDR86        .  . ...... #> WDR89        .  4 ...... #> WDR90        .  . ...... #> WDR91        .  . ...... #> WDR92        .  1 ...... #> WDR93        .  . ...... #> WDSUB1       .  . ...... #> WDTC1        .  2 ...... #> WEE1         .  . ...... #> WEE2         .  . ...... #> WFDC10A      .  . ...... #> WFDC13       .  . ...... #> WFDC2        2  . ...... #> WFDC3        .  . ...... #> WFDC9        .  . ...... #> WFIKKN1      .  . ...... #> WFIKKN2      .  . ...... #> WFS1         .  1 ...... #> WHAMM        .  . ...... #> WHRN         .  . ...... #> WIF1         .  . ...... #> WIPF1        .  . ...... #> WIPF2        .  . ...... #> WIPF3        .  . ...... #> WIPI1        .  . ...... #> WIPI2        .  3 ...... #> WIZ          .  . ...... #> WLS          .  . ...... #> WNK1         .  . ...... #> WNK2         .  . ...... #> WNK3         .  . ...... #> WNK4         .  . ...... #> WNT10B       .  . ...... #> WNT11        .  . ...... #> WNT3         .  . ...... #> WNT4         .  . ...... #> WNT5A        .  . ...... #> WNT5B        .  . ...... #> WNT6         .  . ...... #> WNT7B        .  . ...... #> WNT9A        .  . ...... #> WNT9B        .  . ...... #> WRAP53       .  . ...... #> WRAP73       .  . ...... #> WRN          .  . ...... #> WRNIP1       .  . ...... #> WSB1         1  1 ...... #> WSB2         2  . ...... #> WSCD1        .  . ...... #> WTAP         .  . ...... #> WTIP         .  . ...... #> WWC1         .  . ...... #> WWC2         .  . ...... #> WWOX         .  . ...... #> WWP1         .  . ...... #> WWP2         .  . ...... #> WWTR1        .  . ...... #> XAB2         .  . ...... #> XAF1         .  . ...... #> XBP1         .  3 ...... #> XDH          .  . ...... #> XIAP         .  . ...... #> XK           .  . ...... #> XKR5         .  . ...... #> XKR6         .  . ...... #> XKR7         .  . ...... #> XKR8         .  . ...... #> XKR9         .  . ...... #> XPA          .  . ...... #> XPC          .  . ...... #> XPNPEP1      .  . ...... #> XPNPEP2      .  . ...... #> XPNPEP3      .  . ...... #> XPO1         .  1 ...... #> XPO4         .  . ...... #> XPO5         .  . ...... #> XPO6         .  . ...... #> XPO7         .  . ...... #> XPOT         .  . ...... #> XPR1         .  1 ...... #> XRCC1        .  . ...... #> XRCC2        .  . ...... #> XRCC3        .  . ...... #> XRCC4        .  . ...... #> XRCC5        .  1 ...... #> XRCC6        .  . ...... #> XRN1         1  . ...... #> XRN2         2  . ...... #> XRRA1        .  . ...... #> XXYLT1       .  . ...... #> XYLB         .  . ...... #> XYLT1        .  . ...... #> XYLT2        .  . ...... #> YAE1         .  . ...... #> YAF2         1  . ...... #> YAP1         .  . ...... #> YARS1        .  . ...... #> YARS2        .  . ...... #> YBEY         .  . ...... #> YBX2         .  . ...... #> YBX3         .  . ...... #> YDJC         .  . ...... #> YEATS2       .  . ...... #> YEATS4       .  . ...... #> YES1         .  . ...... #> YIF1A        .  . ...... #> YIF1B        .  1 ...... #> YIPF1        .  1 ...... #> YIPF2        1  . ...... #> YIPF3        .  . ...... #> YIPF4        .  . ...... #> YIPF5        .  . ...... #> YIPF6        .  . ...... #> YKT6         1  1 ...... #> YLPM1        .  . ...... #> YME1L1       .  . ...... #> YOD1         .  . ...... #> YPEL1        .  . ...... #> YPEL2        .  . ...... #> YPEL3        3  1 ...... #> YPEL4        .  1 ...... #> YPEL5        .  . ...... #> YRDC         1  1 ...... #> YTHDC1       .  . ...... #> YTHDC2       .  . ...... #> YTHDF1       .  . ...... #> YTHDF2       .  . ...... #> YTHDF3       .  . ...... #> YWHAB        .  4 ...... #> YWHAE        9  9 ...... #> YWHAG        2  . ...... #> YWHAH        4  1 ...... #> YWHAQ        6  5 ...... #> YWHAZ        2  1 ...... #> YY1          2  1 ...... #> YY1AP1       .  . ...... #> Z82190.2     .  . ...... #> Z83844.1     .  . ...... #> Z84488.1     .  . ...... #> ZADH2        .  . ...... #> ZAP70        .  . ...... #> ZAR1         .  . ...... #> ZAR1L        .  . ...... #> ZBED3        .  . ...... #> ZBED4        .  1 ...... #> ZBED9        .  . ...... #> ZBP1         .  . ...... #> ZBTB1        .  . ...... #> ZBTB10       .  . ...... #> ZBTB11       .  . ...... #> ZBTB12       .  . ...... #> ZBTB14       .  . ...... #> ZBTB16       .  . ...... #> ZBTB17       .  . ...... #> ZBTB18       .  . ...... #> ZBTB2        .  . ...... #> ZBTB20       1  1 ...... #> ZBTB21       .  . ...... #> ZBTB24       .  1 ...... #> ZBTB25       1  . ...... #> ZBTB26       .  . ...... #> ZBTB3        .  . ...... #> ZBTB32       .  . ...... #> ZBTB33       1  . ...... #> ZBTB34       .  . ...... #> ZBTB37       .  . ...... #> ZBTB38       1  . ...... #> ZBTB39       .  . ...... #> ZBTB4        .  . ...... #> ZBTB40       .  . ...... #> ZBTB41       .  . ...... #> ZBTB42       .  . ...... #> ZBTB43       .  . ...... #> ZBTB44       .  . ...... #> ZBTB45       .  . ...... #> ZBTB46       .  . ...... #> ZBTB47       .  . ...... #> ZBTB48       .  . ...... #> ZBTB49       .  . ...... #> ZBTB5        .  . ...... #> ZBTB6        .  . ...... #> ZBTB7A       .  . ...... #> ZBTB7B       .  1 ...... #> ZBTB7C       .  1 ...... #> ZBTB8A       .  . ...... #> ZBTB8B       .  . ...... #> ZBTB8OS      .  . ...... #> ZC2HC1A      1  1 ...... #> ZC2HC1C      .  . ...... #> ZC3H10       .  . ...... #> ZC3H11A      .  . ...... #> ZC3H11B      .  . ...... #> ZC3H12A      .  . ...... #> ZC3H12B      .  . ...... #> ZC3H12C      .  . ...... #> ZC3H12D      .  . ...... #> ZC3H13       .  . ...... #> ZC3H14       2  . ...... #> ZC3H15       .  . ...... #> ZC3H18       .  . ...... #> ZC3H3        .  1 ...... #> ZC3H4        .  . ...... #> ZC3H6        .  . ...... #> ZC3H7A       .  . ...... #> ZC3H7B       1  1 ...... #> ZC3H8        .  . ...... #> ZC3HAV1      .  . ...... #> ZC3HAV1L     .  . ...... #> ZC3HC1       .  . ...... #> ZC4H2        .  . ...... #> ZCCHC10      .  . ...... #> ZCCHC12      3  . ...... #> ZCCHC14      .  . ...... #> ZCCHC17      .  . ...... #> ZCCHC18      3  . ...... #> ZCCHC2       .  1 ...... #> ZCCHC24      .  . ...... #> ZCCHC3       .  . ...... #> ZCCHC4       .  . ...... #> ZCCHC7       .  . ...... #> ZCCHC8       1  . ...... #> ZCCHC9       .  1 ...... #> ZCRB1        .  3 ...... #> ZCWPW1       .  . ...... #> ZDBF2        1  . ...... #> ZDHHC1       .  . ...... #> ZDHHC12      .  . ...... #> ZDHHC13      .  1 ...... #> ZDHHC14      .  . ...... #> ZDHHC15      .  . ...... #> ZDHHC16      .  . ...... #> ZDHHC17      .  . ...... #> ZDHHC18      .  . ...... #> ZDHHC2       .  . ...... #> ZDHHC20      .  1 ...... #> ZDHHC21      .  . ...... #> ZDHHC23      .  . ...... #> ZDHHC24      .  . ...... #> ZDHHC3       .  . ...... #> ZDHHC4       .  1 ...... #> ZDHHC5       .  . ...... #> ZDHHC6       .  . ...... #> ZDHHC7       .  . ...... #> ZDHHC8       .  . ...... #> ZDHHC9       .  . ...... #> ZEB1         .  . ...... #> ZEB2         .  . ...... #> ZER1         .  . ...... #> ZFAND1       .  . ...... #> ZFAND2A      .  . ...... #> ZFAND2B      .  . ...... #> ZFAND3       .  . ...... #> ZFAND4       .  . ...... #> ZFAND5       2  . ...... #> ZFAND6       4  . ...... #> ZFAT         .  . ...... #> ZFC3H1       .  . ...... #> ZFHX2        .  2 ...... #> ZFHX3        2  . ...... #> ZFHX4        .  . ...... #> ZFP1         1  . ...... #> ZFP14        .  1 ...... #> ZFP2         .  . ...... #> ZFP28        .  . ...... #> ZFP3         .  . ...... #> ZFP30        .  . ...... #> ZFP36        1  . ...... #> ZFP36L1      .  . ...... #> ZFP36L2      .  . ...... #> ZFP37        .  . ...... #> ZFP41        .  . ...... #> ZFP57        .  . ...... #> ZFP62        .  . ...... #> ZFP64        .  . ...... #> ZFP69        .  . ...... #> ZFP82        .  . ...... #> ZFP90        .  . ...... #> ZFP91        .  . ...... #> ZFP91-CNTF   .  . ...... #> ZFP92        .  . ...... #> ZFPL1        .  . ...... #> ZFPM1        .  . ...... #> ZFPM2        .  . ...... #> ZFR          .  1 ...... #> ZFR2         .  . ...... #> ZFX          .  . ...... #> ZFYVE1       .  . ...... #> ZFYVE19      .  . ...... #> ZFYVE21      .  . ...... #> ZFYVE26      .  . ...... #> ZFYVE27      .  . ...... #> ZFYVE9       .  . ...... #> ZG16         .  . ...... #> ZG16B        .  . ...... #> ZGLP1        .  . ...... #> ZGPAT        .  . ...... #> ZHX1         .  . ...... #> ZHX1-C8orf76 .  . ...... #> ZHX2         .  . ...... #> ZHX3         .  . ...... #> ZIK1         .  . ...... #> ZKSCAN1      .  . ...... #> ZKSCAN2      .  . ...... #> ZKSCAN4      .  . ...... #> ZKSCAN5      .  . ...... #> ZKSCAN7      .  . ...... #> ZKSCAN8      .  . ...... #> ZMAT1        .  . ...... #> ZMAT2        .  . ...... #> ZMAT3        .  . ...... #> ZMAT5        .  . ...... #> ZMIZ1        .  1 ...... #> ZMIZ2        1  1 ...... #> ZMPSTE24     1  . ...... #> ZMYM1        .  . ...... #> ZMYM2        .  . ...... #> ZMYM3        .  . ...... #> ZMYM4        .  . ...... #> ZMYM5        1  . ...... #> ZMYM6        .  . ...... #> ZMYND10      .  . ...... #> ZMYND11      .  . ...... #> ZMYND12      .  . ...... #> ZMYND19      .  . ...... #> ZMYND8       .  . ...... #> ZNF106       .  . ...... #> ZNF112       .  . ...... #> ZNF12        .  . ...... #> ZNF121       .  . ...... #> ZNF124       .  . ...... #> ZNF131       .  . ...... #> ZNF142       .  . ...... #> ZNF143       .  . ...... #> ZNF146       .  . ...... #> ZNF148       .  2 ...... #> ZNF160       .  . ...... #> ZNF169       .  . ...... #> ZNF174       .  . ...... #> ZNF18        .  . ...... #> ZNF180       .  . ...... #> ZNF182       .  . ...... #> ZNF185       .  . ...... #> ZNF189       .  . ...... #> ZNF195       .  . ...... #> ZNF2         .  . ...... #> ZNF20        .  . ...... #> ZNF200       .  . ...... #> ZNF202       .  . ...... #> ZNF205       1  . ...... #> ZNF207       .  . ...... #> ZNF212       .  . ...... #> ZNF213       .  . ...... #> ZNF217       .  . ...... #> ZNF219       .  . ...... #> ZNF22        .  . ...... #> ZNF226       .  . ...... #> ZNF23        .  . ...... #> ZNF233       .  . ...... #> ZNF236       .  . ...... #> ZNF239       .  . ...... #> ZNF24        .  . ...... #> ZNF248       .  . ...... #> ZNF25        .  . ...... #> ZNF251       .  . ...... #> ZNF260       2  1 ...... #> ZNF263       .  . ...... #> ZNF266       1  . ...... #> ZNF274       .  2 ...... #> ZNF276       .  . ...... #> ZNF277       .  . ...... #> ZNF280B      .  . ...... #> ZNF280C      .  . ...... #> ZNF280D      .  . ...... #> ZNF281       .  . ...... #> ZNF282       .  1 ...... #> ZNF286A      .  . ...... #> ZNF287       .  . ...... #> ZNF292       .  . ...... #> ZNF296       .  . ...... #> ZNF316       .  . ...... #> ZNF317       .  . ...... #> ZNF318       1  . ...... #> ZNF319       .  . ...... #> ZNF32        2  . ...... #> ZNF322       .  . ...... #> ZNF324       .  1 ...... #> ZNF324B      .  1 ...... #> ZNF326       .  . ...... #> ZNF329       .  . ...... #> ZNF330       .  . ...... #> ZNF334       .  . ...... #> ZNF335       .  . ...... #> ZNF337       .  . ...... #> ZNF34        .  . ...... #> ZNF341       .  1 ...... #> ZNF345       .  . ...... #> ZNF346       .  . ...... #> ZNF35        .  . ...... #> ZNF354A      .  . ...... #> ZNF354B      .  . ...... #> ZNF354C      .  . ...... #> ZNF358       1  . ...... #> ZNF362       .  . ...... #> ZNF365       .  . ...... #> ZNF367       .  . ...... #> ZNF382       .  . ...... #> ZNF383       .  . ...... #> ZNF384       .  . ...... #> ZNF385A      .  . ...... #> ZNF385B      .  . ...... #> ZNF385C      .  . ...... #> ZNF394       1  . ...... #> ZNF395       .  . ...... #> ZNF397       .  . ...... #> ZNF398       .  . ...... #> ZNF408       .  . ...... #> ZNF410       .  . ...... #> ZNF414       .  . ...... #> ZNF418       .  . ...... #> ZNF419       .  . ...... #> ZNF420       .  1 ...... #> ZNF423       .  . ...... #> ZNF426       .  . ...... #> ZNF428       .  1 ...... #> ZNF429       .  . ...... #> ZNF433       .  . ...... #> ZNF436       .  . ...... #> ZNF438       .  . ...... #> ZNF439       .  . ...... #> ZNF440       .  . ...... #> ZNF444       .  . ...... #> ZNF445       .  . ...... #> ZNF446       .  . ...... #> ZNF449       .  . ...... #> ZNF45        .  . ...... #> ZNF451       .  . ...... #> ZNF454       .  . ...... #> ZNF462       .  . ...... #> ZNF467       .  . ...... #> ZNF473       .  . ...... #> ZNF48        .  . ...... #> ZNF480       .  . ...... #> ZNF483       .  . ...... #> ZNF487       .  . ...... #> ZNF491       .  . ...... #> ZNF496       .  . ...... #> ZNF503       .  2 ...... #> ZNF507       .  . ...... #> ZNF511       .  1 ...... #> ZNF511-PRAP1 .  . ...... #> ZNF512       .  1 ...... #> ZNF512B      .  1 ...... #> ZNF513       .  1 ...... #> ZNF516       .  . ...... #> ZNF517       .  . ...... #> ZNF518A      .  . ...... #> ZNF518B      .  . ...... #> ZNF521       .  . ...... #> ZNF526       .  . ...... #> ZNF532       .  . ...... #> ZNF536       .  . ...... #> ZNF541       .  . ...... #> ZNF551       .  . ...... #> ZNF552       .  . ...... #> ZNF554       .  . ...... #> ZNF555       .  . ...... #> ZNF556       .  . ...... #> ZNF558       .  . ...... #> ZNF560       .  . ...... #> ZNF561       .  . ...... #> ZNF562       .  . ...... #> ZNF566       .  . ...... #> ZNF569       .  . ...... #> ZNF570       .  . ...... #> ZNF574       .  . ...... #> ZNF575       .  . ...... #> ZNF583       .  . ...... #> ZNF586       .  . ...... #> ZNF587B      .  . ...... #> ZNF592       .  1 ...... #> ZNF593       .  . ...... #> ZNF597       .  . ...... #> ZNF598       1  . ...... #> ZNF605       .  . ...... #> ZNF606       .  . ...... #> ZNF608       .  . ...... #> ZNF609       .  1 ...... #> ZNF610       .  . ...... #> ZNF618       .  . ...... #> ZNF622       .  . ...... #> ZNF623       .  . ...... #> ZNF627       .  . ...... #> ZNF628       .  . ...... #> ZNF629       .  . ...... #> ZNF638       .  1 ...... #> ZNF639       .  . ...... #> ZNF641       .  . ...... #> ZNF644       .  . ...... #> ZNF646       .  . ...... #> ZNF652       .  . ...... #> ZNF653       .  . ...... #> ZNF654       .  . ...... #> ZNF655       .  . ...... #> ZNF664       1  . ...... #> ZNF665       .  . ...... #> ZNF667       .  . ...... #> ZNF668       .  . ...... #> ZNF669       .  . ...... #> ZNF672       .  . ...... #> ZNF674       .  . ...... #> ZNF687       .  1 ...... #> ZNF688       .  . ...... #> ZNF689       .  . ...... #> ZNF69        .  . ...... #> ZNF691       .  . ...... #> ZNF692       .  . ...... #> ZNF697       .  . ...... #> ZNF7         .  . ...... #> ZNF700       .  . ...... #> ZNF703       .  . ...... #> ZNF704       .  . ...... #> ZNF705A      .  . ...... #> ZNF705B      .  . ...... #> ZNF705D      .  . ...... #> ZNF705E      .  . ...... #> ZNF705G      .  . ...... #> ZNF706       1  2 ...... #> ZNF711       .  . ...... #> ZNF713       .  . ...... #> ZNF721       .  . ...... #> ZNF727       .  . ...... #> ZNF736       .  . ...... #> ZNF740       .  . ...... #> ZNF746       .  . ...... #> ZNF747       .  . ...... #> ZNF749       .  . ...... #> ZNF750       .  . ...... #> ZNF76        .  1 ...... #> ZNF763       .  . ...... #> ZNF764       .  . ...... #> ZNF768       .  . ...... #> ZNF770       .  . ...... #> ZNF771       .  . ...... #> ZNF777       .  . ...... #> ZNF778       .  . ...... #> ZNF780A      .  . ...... #> ZNF781       .  . ...... #> ZNF784       .  . ...... #> ZNF786       .  . ...... #> ZNF787       .  1 ...... #> ZNF8         .  . ...... #> ZNF800       .  . ...... #> ZNF804A      .  . ...... #> ZNF821       .  . ...... #> ZNF827       .  . ...... #> ZNF830       .  . ...... #> ZNF839       .  . ...... #> ZNF845       .  . ...... #> ZNF850       .  . ...... #> ZNF879       .  . ...... #> ZNF891       .  . ...... #> ZNFX1        .  1 ...... #> ZNHIT1       1  1 ...... #> ZNHIT2       2  1 ...... #> ZNHIT3       .  1 ...... #> ZNHIT6       .  . ...... #> ZNRF1        .  . ...... #> ZNRF2        1  . ...... #> ZNRF3        .  . ...... #> ZPBP         .  1 ...... #> ZPBP2        .  . ...... #> ZPR1         .  . ...... #> ZRANB1       .  . ...... #> ZRANB2       1  2 ...... #> ZRANB3       .  . ...... #> ZRSR2        .  . ...... #> ZSCAN10      .  . ...... #> ZSCAN12      .  . ...... #> ZSCAN18      .  . ...... #> ZSCAN2       .  . ...... #> ZSCAN20      .  . ...... #> ZSCAN21      .  . ...... #> ZSCAN22      .  . ...... #> ZSCAN25      .  . ...... #> ZSCAN26      .  . ...... #> ZSCAN29      .  . ...... #> ZSWIM1       .  . ...... #> ZSWIM3       .  . ...... #> ZSWIM4       .  . ...... #> ZSWIM5       .  1 ...... #> ZSWIM6       .  . ...... #> ZSWIM7       .  . ...... #> ZSWIM8       1  . ...... #> ZW10         .  . ...... #> ZWILCH       .  . ...... #> ZWINT        1  7 ...... #> ZXDC         .  . ...... #> ZYG11B       .  . ...... #> ZYX          .  . ...... #> ZZEF1        .  . ...... #> ZZZ3         1  . ......"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GraphPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"GraphPlot — GraphPlot","title":"GraphPlot — GraphPlot","text":"GraphPlot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GraphPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"GraphPlot — GraphPlot","text":"","code":"GraphPlot(   node,   edge,   transition = NULL,   node_coord = c(\"x\", \"y\"),   node_group = NULL,   node_palette = \"Paired\",   node_palcolor = NULL,   node_size = 4,   node_alpha = 1,   node_highlight = NULL,   node_highlight_color = \"red\",   label = FALSE,   label.size = 3.5,   label.fg = \"white\",   label.bg = \"black\",   label.bg.r = 0.1,   label_insitu = FALSE,   label_repel = FALSE,   label_repulsion = 20,   label_point_size = 1,   label_point_color = \"black\",   label_segment_color = \"black\",   edge_threshold = 0.01,   use_triangular = c(\"upper\", \"lower\", \"both\"),   edge_line = c(\"straight\", \"curved\"),   edge_line_curvature = 0.3,   edge_line_angle = 90,   edge_color = \"grey40\",   edge_size = c(0.2, 1),   edge_alpha = 0.5,   edge_shorten = 0,   edge_offset = 0,   edge_highlight = NULL,   edge_highlight_color = \"red\",   transition_threshold = 0.01,   transition_line = c(\"straight\", \"curved\"),   transition_line_curvature = 0.3,   transition_line_angle = 90,   transition_color = \"black\",   transition_size = c(0.2, 1),   transition_alpha = 1,   transition_arrow_type = \"closed\",   transition_arrow_angle = 20,   transition_arrow_length = unit(0.02, \"npc\"),   transition_shorten = 0.05,   transition_offset = 0,   transition_highlight = NULL,   transition_highlight_color = \"red\",   aspect.ratio = 1,   title = NULL,   subtitle = NULL,   xlab = NULL,   ylab = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   return_layer = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GraphPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"GraphPlot — GraphPlot","text":"node  theme_args","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GroupHeatmap.html","id":null,"dir":"Reference","previous_headings":"","what":"GroupHeatmap — GroupHeatmap","title":"GroupHeatmap — GroupHeatmap","text":"GroupHeatmap","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GroupHeatmap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"GroupHeatmap — GroupHeatmap","text":"","code":"GroupHeatmap(   srt,   features = NULL,   group.by = NULL,   split.by = NULL,   within_groups = FALSE,   grouping.var = NULL,   numerator = NULL,   cells = NULL,   aggregate_fun = base::mean,   exp_cutoff = 0,   border = TRUE,   flip = FALSE,   slot = \"counts\",   assay = NULL,   exp_method = c(\"zscore\", \"raw\", \"fc\", \"log2fc\", \"log1p\"),   legend_title = NULL,   limits = NULL,   lib_normalize = identical(slot, \"counts\"),   libsize = NULL,   feature_split = NULL,   feature_split_by = NULL,   n_split = NULL,   split_order = NULL,   split_method = c(\"kmeans\", \"hclust\", \"mfuzz\"),   decreasing = FALSE,   fuzzification = NULL,   show_fuzzification = FALSE,   cluster_features_by = NULL,   cluster_rows = FALSE,   cluster_columns = FALSE,   cluster_row_slices = FALSE,   cluster_column_slices = FALSE,   show_row_names = FALSE,   show_column_names = FALSE,   row_names_side = ifelse(flip, \"left\", \"right\"),   column_names_side = ifelse(flip, \"bottom\", \"top\"),   row_names_rot = 0,   column_names_rot = 90,   row_title = NULL,   column_title = NULL,   row_title_side = \"left\",   column_title_side = \"top\",   row_title_rot = 0,   column_title_rot = ifelse(flip, 90, 0),   anno_terms = FALSE,   anno_keys = FALSE,   anno_features = FALSE,   terms_width = unit(4, \"in\"),   terms_fontsize = 8,   keys_width = unit(2, \"in\"),   keys_fontsize = c(6, 10),   features_width = unit(2, \"in\"),   features_fontsize = c(6, 10),   IDtype = \"symbol\",   species = \"Homo_sapiens\",   db_update = FALSE,   db_version = \"latest\",   db_combine = FALSE,   convert_species = FALSE,   Ensembl_version = 103,   mirror = NULL,   db = \"GO_BP\",   TERM2GENE = NULL,   TERM2NAME = NULL,   minGSSize = 10,   maxGSSize = 500,   GO_simplify = FALSE,   GO_simplify_cutoff = \"p.adjust < 0.05\",   simplify_method = \"Wang\",   simplify_similarityCutoff = 0.7,   pvalueCutoff = NULL,   padjustCutoff = 0.05,   topTerm = 5,   show_termid = FALSE,   topWord = 20,   min_word_length = 3,   exclude_words = c(\"cell\", \"cellular\", \"dna\", \"rna\", \"protein\", \"development\",     \"involved\", \"organization\", \"system\", \"regulation\", \"positive\", \"negative\",     \"response\", \"process\"),   nlabel = 0,   features_label = NULL,   label_size = 10,   label_color = \"black\",   add_bg = FALSE,   bg_alpha = 0.5,   add_dot = FALSE,   dot_size = unit(8, \"mm\"),   add_reticle = FALSE,   reticle_color = \"grey\",   add_violin = FALSE,   fill.by = \"feature\",   fill_palette = \"Dark2\",   fill_palcolor = NULL,   heatmap_palette = \"RdBu\",   heatmap_palcolor = NULL,   group_palette = \"Paired\",   group_palcolor = NULL,   cell_split_palette = \"simspec\",   cell_split_palcolor = NULL,   feature_split_palette = \"simspec\",   feature_split_palcolor = NULL,   cell_annotation = NULL,   cell_annotation_palette = \"Paired\",   cell_annotation_palcolor = NULL,   cell_annotation_params = if (flip) list(width = grid::unit(1, \"cm\")) else list(height =     grid::unit(1, \"cm\")),   feature_annotation = NULL,   feature_annotation_palette = \"Dark2\",   feature_annotation_palcolor = NULL,   feature_annotation_params = list(),   use_raster = NULL,   raster_device = \"png\",   raster_by_magick = FALSE,   height = NULL,   width = NULL,   units = \"inch\",   seed = 11,   ht_params = list() )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GroupHeatmap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"GroupHeatmap — GroupHeatmap","text":"srt Seurat object. features vector gene names plot. group.Columns used calculate cell expression. One heatmap per column name. assay Assay used calculate expression. exp_method Method used calculate cell expression. feature_split vector group names features. db_combine  heatmap_palette Heatmap expression palette. cell_annotation_palette Column palette. feature_annotation_palette Feature groups palette.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GroupHeatmap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"GroupHeatmap — GroupHeatmap","text":"","code":"library(dplyr) data(\"pancreas_sub\") ht1 <- GroupHeatmap(pancreas_sub,   features = c(     \"Sox9\", \"Anxa2\", \"Bicc1\", # Ductal     \"Neurog3\", \"Hes6\", # EPs     \"Fev\", \"Neurod1\", # Pre-endocrine     \"Rbp4\", \"Pyy\", # Endocrine     \"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\" # Beta, Alpha, Delta, Epsilon   ),   group.by = c(\"CellType\", \"SubCellType\"),   show_row_names = TRUE ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht1$plot  panel_fix(ht1$plot, height = 4, width = 6, raster = TRUE, dpi = 50)   pancreas_sub <- RunDEtest(pancreas_sub, group_by = \"CellType\") #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. #> [2023-09-01 05:31:45.194794] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 5 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 05:31:48.383866] DEtest done #> Elapsed time:3.19 secs de_filter <- filter(pancreas_sub@tools$DEtest_CellType$AllMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1)  ht2 <- GroupHeatmap(   srt = pancreas_sub, features = de_filter$gene, group.by = \"CellType\",   split.by = \"Phase\", cell_split_palette = \"Dark2\",   nlabel = 10, show_row_names = FALSE ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht2$plot   ht3 <- GroupHeatmap(   srt = pancreas_sub, features = de_filter$gene, feature_split = de_filter$group1, group.by = \"CellType\",   nlabel = 20, show_row_names = FALSE,   species = \"Mus_musculus\", db = \"GO_BP\", anno_terms = TRUE, anno_keys = TRUE, anno_features = TRUE ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> [2023-09-01 05:31:49.978959] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-01 05:12:05.52538 #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 05:32:25.86797] Enrichment done #> Elapsed time:35.89 secs #> The size of the heatmap will be fixed as some elements are not scalable. ht3$plot   pancreas_sub <- AnnotateFeatures(pancreas_sub, species = \"Mus_musculus\", db = c(\"TF\", \"CSPA\")) #> Species: Mus_musculus #> Loading cached db: TF version:AnimalTFDB4 nterm:2 created:2023-09-01 05:02:35.648729 #> Loading cached db: CSPA version:CSPA nterm:1 created:2023-09-01 05:02:38.740619 de_top <- de_filter %>%   group_by(gene) %>%   top_n(1, avg_log2FC) %>%   group_by(group1) %>%   top_n(3, avg_log2FC) ht4 <- GroupHeatmap(pancreas_sub,   features = de_top$gene, feature_split = de_top$group1, group.by = \"CellType\",   heatmap_palette = \"YlOrRd\",   cell_annotation = c(\"Phase\", \"G2M_score\", \"Neurod2\"), cell_annotation_palette = c(\"Dark2\", \"Paired\", \"Paired\"),   cell_annotation_params = list(height = grid::unit(0.5, \"in\")),   feature_annotation = c(\"TF\", \"CSPA\"),   feature_annotation_palcolor = list(c(\"gold\", \"steelblue\"), c(\"forestgreen\")),   add_dot = TRUE, add_bg = TRUE, show_row_names = TRUE ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht4$plot   ht5 <- GroupHeatmap(pancreas_sub,   features = de_top$gene, feature_split = de_top$group1, group.by = \"CellType\",   heatmap_palette = \"YlOrRd\",   cell_annotation = c(\"Phase\", \"G2M_score\", \"Neurod2\"), cell_annotation_palette = c(\"Dark2\", \"Paired\", \"Paired\"),   cell_annotation_params = list(width = grid::unit(0.5, \"in\")),   feature_annotation = c(\"TF\", \"CSPA\"),   feature_annotation_palcolor = list(c(\"gold\", \"steelblue\"), c(\"forestgreen\")),   add_dot = TRUE, add_bg = TRUE,   flip = TRUE, column_title_rot = 45, show_column_names = TRUE ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht5$plot   ht6 <- GroupHeatmap(pancreas_sub,   features = de_top$gene, feature_split = de_top$group1, group.by = \"CellType\",   add_violin = TRUE, cluster_rows = TRUE,   show_row_names = TRUE ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht6$plot   ht7 <- GroupHeatmap(pancreas_sub,   features = de_top$gene, feature_split = de_top$group1, group.by = \"CellType\",   add_violin = TRUE, fill.by = \"expression\", fill_palette = \"Blues\", cluster_rows = TRUE,   show_row_names = TRUE ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht7$plot   ht8 <- GroupHeatmap(pancreas_sub,   features = de_top$gene, group.by = \"CellType\", split.by = \"Phase\", n_split = 4,   cluster_rows = TRUE, cluster_columns = TRUE, cluster_row_slices = TRUE, cluster_column_slices = TRUE,   add_dot = TRUE, add_reticle = TRUE, heatmap_palette = \"viridis\",   show_row_names = TRUE, ht_params = list(row_gap = grid::unit(0, \"mm\"), row_names_gp = grid::gpar(fontsize = 10)) ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht8$plot"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Harmony_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"Harmony_integrate — Harmony_integrate","title":"Harmony_integrate — Harmony_integrate","text":"Harmony_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Harmony_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Harmony_integrate — Harmony_integrate","text":"","code":"Harmony_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   linear_reduction = \"pca\",   linear_reduction_dims = 50,   linear_reduction_dims_use = NULL,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   Harmony_dims_use = NULL,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   RunHarmony_params = list(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Harmony_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Harmony_integrate — Harmony_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". linear_reduction linear reduction method name. Can one \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Dimensions calculate performing linear reduction. linear_reduction_dims_use dimensions use performing nonlinear reduction. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Integration_SCP.html","id":null,"dir":"Reference","previous_headings":"","what":"Integration_SCP — Integration_SCP","title":"Integration_SCP — Integration_SCP","text":"Single cell pipeline integration multiple datasets.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Integration_SCP.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Integration_SCP — Integration_SCP","text":"","code":"Integration_SCP(   srtMerge = NULL,   batch,   append = TRUE,   srtList = NULL,   assay = NULL,   integration_method = \"Uncorrected\",   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   linear_reduction = \"pca\",   linear_reduction_dims = 50,   linear_reduction_dims_use = NULL,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   seed = 11,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Integration_SCP.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Integration_SCP — Integration_SCP","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. integration_method Integration method. Can one \"Uncorrected\", \"Seurat\", \"scVI\", \"MNN\", \"fastMNN\", \"Harmony\", \"Scanorama\", \"BBKNN\", \"CSS\", \"LIGER\", \"Conos\", \"ComBat\". do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". linear_reduction linear reduction method name. Can one \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Dimensions calculate performing linear reduction. linear_reduction_dims_use dimensions use performing nonlinear reduction. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed. ...","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Integration_SCP.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Integration_SCP — Integration_SCP","text":"Seurat object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Integration_SCP.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Integration_SCP — Integration_SCP","text":"","code":"data(\"panc8_sub\") panc8_sub <- Integration_SCP(   srtMerge = panc8_sub, batch = \"tech\", integration_method = \"Uncorrected\" ) #> [2023-09-01 05:34:01.912214] Start Uncorrected_integrate #> [2023-09-01 05:34:01.925751] Spliting srtMerge into srtList by column tech... ... #> [2023-09-01 05:34:02.378772] Checking srtList... ... #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/5 of the srtList... #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 2/5 of the srtList... #> Data 3/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 3/5 of the srtList... #> Data 4/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 4/5 of the srtList... #> Data 5/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 5/5 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-01 05:34:05.101589] Finished checking. #> [2023-09-01 05:34:05.485245] Perform integration(Uncorrected) on the data... #> [2023-09-01 05:34:05.486769] Start Standard_SCP #> [2023-09-01 05:34:05.48693] Checking srtList... ... #> Data 1/1 of the srtList has been log-normalized. #> Number of available HVF: 2000 #> [2023-09-01 05:34:05.801794] Finished checking. #> [2023-09-01 05:34:05.802002] Perform ScaleData on the data... #> [2023-09-01 05:34:06.191455] Perform linear dimension reduction (pca) on the data... #> [2023-09-01 05:34:07.228501] Perform FindClusters (louvain) on the data... #> [2023-09-01 05:34:07.351865] Reorder clusters... #> [2023-09-01 05:34:07.534128] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Uncorrectedpca, dims:1-10) as input #> Non-linear dimensionality reduction(umap) using Reduction(Uncorrectedpca, dims:1-10) as input #> [2023-09-01 05:34:17.012508] Standard_SCP done #> Elapsed time: 11.53 secs  #> [2023-09-01 05:34:17.28154] Uncorrected_integrate done #> Elapsed time: 15.37 secs  CellDimPlot(panc8_sub, group.by = c(\"tech\", \"celltype\"))   panc8_sub <- Integration_SCP(   srtMerge = panc8_sub, batch = \"tech\", integration_method = \"Seurat\" ) #> [2023-09-01 05:34:17.875333] Start Seurat_integrate #> [2023-09-01 05:34:17.89001] Spliting srtMerge into srtList by column tech... ... #> [2023-09-01 05:34:18.356439] Checking srtList... ... #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/5 of the srtList... #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 2/5 of the srtList... #> Data 3/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 3/5 of the srtList... #> Data 4/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 4/5 of the srtList... #> Data 5/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 5/5 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-01 05:34:21.070383] Finished checking. #> [2023-09-01 05:34:21.655207] Perform FindIntegrationAnchors on the data... #> [2023-09-01 05:34:44.641419] Perform integration(Seurat) on the data... #> [2023-09-01 05:34:53.235101] Perform ScaleData on the data... #> [2023-09-01 05:34:53.442184] Perform linear dimension reduction (pca) on the data... #> [2023-09-01 05:34:54.614005] Perform FindClusters (louvain) on the data... #> [2023-09-01 05:34:54.778165] Reorder clusters... #> [2023-09-01 05:34:54.94905] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Seuratpca, dims:1-12) as input #> Non-linear dimensionality reduction(umap) using Reduction(Seuratpca, dims:1-12) as input #> [2023-09-01 05:35:04.416348] Seurat_integrate done #> Elapsed time: 46.54 secs  CellDimPlot(panc8_sub, group.by = c(\"tech\", \"celltype\"))   if (FALSE) { integration_methods <- c(\"Uncorrected\", \"Seurat\", \"scVI\", \"MNN\", \"fastMNN\", \"Harmony\", \"Scanorama\", \"BBKNN\", \"CSS\", \"LIGER\", \"Conos\", \"ComBat\") for (method in integration_methods) {   panc8_sub <- Integration_SCP(     srtMerge = panc8_sub, batch = \"tech\",     integration_method = method, linear_reduction_dims_use = 1:50, nonlinear_reduction = \"umap\"   )   print(CellDimPlot(panc8_sub, group.by = c(\"tech\", \"celltype\"), reduction = paste0(method, \"UMAP2D\"), theme_use = \"theme_blank\")) }  nonlinear_reductions <- c(\"umap\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\", \"fr\") panc8_sub <- Integration_SCP(   srtMerge = panc8_sub, batch = \"tech\", integration_method = \"Seurat\",   nonlinear_reduction = nonlinear_reductions ) for (nr in nonlinear_reductions) {   print(CellDimPlot(panc8_sub, group.by = c(\"tech\", \"celltype\"), reduction = paste0(\"Seurat\", nr, \"2D\"), theme_use = \"theme_blank\")) } }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/LIGER_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"LIGER_integrate — LIGER_integrate","title":"LIGER_integrate — LIGER_integrate","text":"LIGER_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/LIGER_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"LIGER_integrate — LIGER_integrate","text":"","code":"LIGER_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   LIGER_dims_use = NULL,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   optimizeALS_params = list(),   quantilenorm_params = list(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/LIGER_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"LIGER_integrate — LIGER_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/LineagePlot.html","id":null,"dir":"Reference","previous_headings":"","what":"LineagePlot — LineagePlot","title":"LineagePlot — LineagePlot","text":"LineagePlot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/LineagePlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"LineagePlot — LineagePlot","text":"","code":"LineagePlot(   srt,   lineages,   weights = NULL,   reduction = NULL,   dims = c(1, 2),   cells = NULL,   trim = c(0.01, 0.99),   span = 0.75,   palette = \"Dark2\",   palcolor = NULL,   lineages_arrow = arrow(length = unit(0.1, \"inches\")),   linewidth = 1,   line_bg = \"white\",   line_bg_stroke = 0.5,   whiskers = FALSE,   whiskers_linewidth = 0.5,   whiskers_alpha = 0.5,   aspect.ratio = 1,   title = NULL,   subtitle = NULL,   xlab = NULL,   ylab = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   return_layer = FALSE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/LineagePlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"LineagePlot — LineagePlot","text":"seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/LineagePlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"LineagePlot — LineagePlot","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", show_plot = FALSE) LineagePlot(pancreas_sub, lineages = paste0(\"Lineage\", 1:3))  LineagePlot(pancreas_sub, lineages = paste0(\"Lineage\", 1:3), whiskers = TRUE)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ListDB.html","id":null,"dir":"Reference","previous_headings":"","what":"ListDB — ListDB","title":"ListDB — ListDB","text":"ListDB","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ListDB.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"ListDB — ListDB","text":"","code":"ListDB(   species = c(\"Homo_sapiens\", \"Mus_musculus\"),   db = c(\"GO\", \"GO_BP\", \"GO_CC\", \"GO_MF\", \"KEGG\", \"WikiPathway\", \"Reactome\",     \"ProteinComplex\", \"DGI\", \"MP\", \"DO\", \"HPO\", \"PFAM\", \"Chromosome\", \"GeneType\",     \"Enzyme\", \"TF\", \"CSPA\", \"Surfaceome\", \"SPRomeDB\", \"VerSeDa\", \"TFLink\", \"hTFtarget\",     \"TRRUST\", \"JASPAR\", \"ENCODE\", \"CellTalk\", \"CellChat\") )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ListDB.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"ListDB — ListDB","text":"db","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ListDB.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"ListDB — ListDB","text":"","code":"ListDB(species = \"Homo_sapiens\") #> [1] identifier version    comment    timestamp  date       db_version db_name    file       #> <0 rows> (or 0-length row.names)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/MNN_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"MNN_integrate — MNN_integrate","title":"MNN_integrate — MNN_integrate","text":"MNN_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/MNN_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"MNN_integrate — MNN_integrate","text":"","code":"MNN_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   linear_reduction = \"pca\",   linear_reduction_dims = 50,   linear_reduction_dims_use = NULL,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   mnnCorrect_params = list(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/MNN_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"MNN_integrate — MNN_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". linear_reduction linear reduction method name. Can one \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Dimensions calculate performing linear reduction. linear_reduction_dims_use dimensions use performing nonlinear reduction. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PAGAPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"PAGA plot — PAGAPlot","title":"PAGA plot — PAGAPlot","text":"PAGA plot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PAGAPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"PAGA plot — PAGAPlot","text":"","code":"PAGAPlot(   srt,   paga = srt@misc$paga,   type = \"connectivities\",   reduction = NULL,   dims = c(1, 2),   cells = NULL,   show_transition = FALSE,   node_palette = \"Paired\",   node_palcolor = NULL,   node_size = 4,   node_alpha = 1,   node_highlight = NULL,   node_highlight_color = \"red\",   label = FALSE,   label.size = 3.5,   label.fg = \"white\",   label.bg = \"black\",   label.bg.r = 0.1,   label_insitu = FALSE,   label_repel = FALSE,   label_repulsion = 20,   label_point_size = 1,   label_point_color = \"black\",   label_segment_color = \"black\",   edge_threshold = 0.01,   edge_line = c(\"straight\", \"curved\"),   edge_line_curvature = 0.3,   edge_line_angle = 90,   edge_size = c(0.2, 1),   edge_color = \"grey40\",   edge_alpha = 0.5,   edge_shorten = 0,   edge_offset = 0,   edge_highlight = NULL,   edge_highlight_color = \"red\",   transition_threshold = 0.01,   transition_line = c(\"straight\", \"curved\"),   transition_line_curvature = 0.3,   transition_line_angle = 90,   transition_size = c(0.2, 1),   transition_color = \"black\",   transition_alpha = 1,   transition_arrow_type = \"closed\",   transition_arrow_angle = 20,   transition_arrow_length = unit(0.02, \"npc\"),   transition_shorten = 0.05,   transition_offset = 0,   transition_highlight = NULL,   transition_highlight_color = \"red\",   aspect.ratio = 1,   title = \"PAGA\",   subtitle = NULL,   xlab = NULL,   ylab = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   return_layer = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PAGAPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"PAGA plot — PAGAPlot","text":"theme_args","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PAGAPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"PAGA plot — PAGAPlot","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunPAGA(srt = pancreas_sub, group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\", return_seurat = TRUE) #> 'misc' slot is not converted. #> 'tools' slot is not converted. PAGAPlot(pancreas_sub)  PAGAPlot(pancreas_sub, type = \"connectivities_tree\")  PAGAPlot(pancreas_sub, reduction = \"PCA\")  PAGAPlot(pancreas_sub, reduction = \"PAGAUMAP2D\")  PAGAPlot(pancreas_sub, label = TRUE)  PAGAPlot(pancreas_sub, label = TRUE, label_insitu = TRUE)  PAGAPlot(pancreas_sub, label = TRUE, label_insitu = TRUE, label_repel = TRUE)  PAGAPlot(pancreas_sub, edge_line = \"curved\")  PAGAPlot(pancreas_sub, node_size = \"GroupSize\")  PAGAPlot(pancreas_sub, node_highlight = \"Ductal\")  PAGAPlot(pancreas_sub, edge_highlight = paste(\"Pre-endocrine\", levels(pancreas_sub$SubCellType), sep = \"-\"))   pancreas_sub <- RunSCVELO(srt = pancreas_sub, group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\", return_seurat = TRUE) #> 'misc' slot is not converted. #> 'tools' slot is not converted. #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from variance_stochastic_ to variancestochastic_ #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from variance_velocity_ to variancevelocity_ PAGAPlot(pancreas_sub, show_transition = TRUE)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareDB.html","id":null,"dir":"Reference","previous_headings":"","what":"Prepare the gene annotation databases — PrepareDB","title":"Prepare the gene annotation databases — PrepareDB","text":"Prepare gene annotation databases","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareDB.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Prepare the gene annotation databases — PrepareDB","text":"","code":"PrepareDB(   species = c(\"Homo_sapiens\", \"Mus_musculus\"),   db = c(\"GO\", \"GO_BP\", \"GO_CC\", \"GO_MF\", \"KEGG\", \"WikiPathway\", \"Reactome\",     \"ProteinComplex\", \"DGI\", \"MP\", \"DO\", \"HPO\", \"PFAM\", \"Chromosome\", \"GeneType\",     \"Enzyme\", \"TF\", \"CSPA\", \"Surfaceome\", \"SPRomeDB\", \"VerSeDa\", \"TFLink\", \"hTFtarget\",     \"TRRUST\", \"JASPAR\", \"ENCODE\", \"CellTalk\", \"CellChat\"),   db_IDtypes = c(\"symbol\", \"entrez_id\", \"ensembl_id\"),   db_version = \"latest\",   db_update = FALSE,   convert_species = TRUE,   Ensembl_version = 103,   mirror = NULL,   biomart = NULL,   max_tries = 5,   custom_TERM2GENE = NULL,   custom_TERM2NAME = NULL,   custom_species = NULL,   custom_IDtype = NULL,   custom_version = NULL )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareDB.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Prepare the gene annotation databases — PrepareDB","text":"species species db Enrichment database name. db_update Whether update database latest version. custom_version","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareDB.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Prepare the gene annotation databases — PrepareDB","text":"list containing database.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareDB.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Prepare the gene annotation databases — PrepareDB","text":"","code":"if (interactive()) {   db_list <- PrepareDB(species = \"Homo_sapiens\", db = \"GO_BP\")   ListDB(species = \"Homo_sapiens\", db = \"GO_BP\")   head(db_list[[\"Homo_sapiens\"]][[\"GO_BP\"]][[\"TERM2GENE\"]])    # Based on homologous gene conversion, prepare a gene annotation database that originally does not exist in the species.   db_list <- PrepareDB(species = \"Homo_sapiens\", db = \"MP\", convert_species = TRUE)   ListDB(species = \"Homo_sapiens\", db = \"MP\")   head(db_list[[\"Homo_sapiens\"]][[\"MP\"]][[\"TERM2GENE\"]])    # Prepare databases for other species   db_list <- PrepareDB(species = \"Macaca_fascicularis\", db = \"GO_BP\", convert_species = TRUE)   ListDB(species = \"Macaca_fascicularis\", db = \"GO_BP\")   head(db_list[[\"Macaca_fascicularis\"]][[\"GO_BP\"]][[\"TERM2GENE\"]])    # Prepare databases for Arabidopsis (plant)   db_list <- PrepareDB(     species = \"Arabidopsis_thaliana\",     db = c(       \"GO_BP\", \"GO_CC\", \"GO_MF\", \"KEGG\", \"WikiPathway\",       \"ENZYME\", \"Chromosome\"     ),     biomart = \"plants_mart\"   )   head(db_list[[\"Arabidopsis_thaliana\"]][[\"KEGG\"]][[\"TERM2GENE\"]])    # You can also build a custom database based on the gene sets you have   ccgenes <- CC_GenePrefetch(\"Homo_sapiens\")   custom_TERM2GENE <- rbind(     data.frame(term = \"S_genes\", gene = ccgenes[[\"cc_S_genes\"]]),     data.frame(term = \"G2M_genes\", gene = ccgenes[[\"cc_G2M_genes\"]])   )   str(custom_TERM2GENE)    # Set convert_species = TRUE to build a custom database for both species, with the name \"CellCycle\"   db_list <- PrepareDB(     species = c(\"Homo_sapiens\", \"Mus_musculus\"), db = \"CellCycle\", convert_species = TRUE,     custom_TERM2GENE = custom_TERM2GENE, custom_species = \"Homo_sapiens\", custom_IDtype = \"symbol\", custom_version = \"Seurat_v4\"   )   ListDB(db = \"CellCycle\")    db_list <- PrepareDB(species = \"Mus_musculus\", db = \"CellCycle\")   head(db_list[[\"Mus_musculus\"]][[\"CellCycle\"]][[\"TERM2GENE\"]]) }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareEnv.html","id":null,"dir":"Reference","previous_headings":"","what":"Prepare SCP python environment — PrepareEnv","title":"Prepare SCP python environment — PrepareEnv","text":"Prepare SCP python environment","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareEnv.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Prepare SCP python environment — PrepareEnv","text":"","code":"PrepareEnv(   conda = \"auto\",   miniconda_repo = \"https://repo.anaconda.com/miniconda\",   python_version = \"3.8\",   envname = NULL,   force = FALSE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareEnv.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Prepare SCP python environment — PrepareEnv","text":"conda path conda executable. Use \"auto\" allow SCP automatically find appropriate conda binary. miniconda_repo Repositories miniconda. Default https://repo.anaconda.com/miniconda python_version version python install. Default 3.8 envname name conda environment. force Whether force new environment created. TRUE, existing environment recreated. Default FALSE ... arguments passed conda_install","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareSCExplorer.html","id":null,"dir":"Reference","previous_headings":"","what":"Prepare Seurat object data for the SCExplorer into hdf5 file — PrepareSCExplorer","title":"Prepare Seurat object data for the SCExplorer into hdf5 file — PrepareSCExplorer","text":"Prepare Seurat object data SCExplorer hdf5 file","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareSCExplorer.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Prepare Seurat object data for the SCExplorer into hdf5 file — PrepareSCExplorer","text":"","code":"PrepareSCExplorer(   object,   base_dir = \"SCExplorer\",   DataFile = \"Data.hdf5\",   MetaFile = \"Meta.hdf5\",   assays = \"RNA\",   slots = c(\"counts\", \"data\"),   ignore_nlevel = 100,   write_tools = FALSE,   write_misc = FALSE,   compression_level = 6,   overwrite = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareSCExplorer.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Prepare Seurat object data for the SCExplorer into hdf5 file — PrepareSCExplorer","text":"overwrite","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareSCExplorer.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Prepare Seurat object data for the SCExplorer into hdf5 file — PrepareSCExplorer","text":"","code":"if (FALSE) { data(\"pancreas_sub\") pancreas_sub <- Standard_SCP(pancreas_sub) PrepareSCExplorer(pancreas_sub, base_dir = \"./SCExplorer\") }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ProjectionPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"Projection Plot — ProjectionPlot","title":"Projection Plot — ProjectionPlot","text":"Projection Plot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ProjectionPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Projection Plot — ProjectionPlot","text":"","code":"ProjectionPlot(   srt_query,   srt_ref,   query_group = NULL,   ref_group = NULL,   query_feature = NULL,   ref_feature = NULL,   query_reduction = \"ref.embeddings\",   ref_reduction = srt_query[[query_reduction]]@misc[[\"reduction.model\"]] %||% NULL,   query_param = list(palette = \"Set1\", cells.highlight = TRUE),   ref_param = list(palette = \"Paired\"),   xlim = NULL,   ylim = NULL,   pt.size = 0.8,   stroke.highlight = 0.5 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ProjectionPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Projection Plot — ProjectionPlot","text":"stroke.highlight","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ProjectionPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Projection Plot — ProjectionPlot","text":"","code":"data(\"panc8_sub\") srt_ref <- panc8_sub[, panc8_sub$tech != \"fluidigmc1\"] srt_query <- panc8_sub[, panc8_sub$tech == \"fluidigmc1\"] srt_ref <- Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"Seurat\") #> [2023-09-01 05:36:04.543655] Start Seurat_integrate #> Error in Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"Seurat\"): object 'srt_ref' not found CellDimPlot(srt_ref, group.by = c(\"celltype\", \"tech\")) #> Error in DefaultReduction(srt): Unable to find any reductions.  # Projection srt_query <- RunKNNMap(srt_query = srt_query, srt_ref = srt_ref, ref_umap = \"SeuratUMAP2D\") #> Error: Cannot find 'SeuratUMAP2D' in this Seurat object ProjectionPlot(srt_query = srt_query, srt_ref = srt_ref, query_group = \"celltype\", ref_group = \"celltype\") #> Error: Cannot find 'ref.embeddings' in this Seurat object"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RecoverCounts.html","id":null,"dir":"Reference","previous_headings":"","what":"Attempt to recover raw counts from the normalized matrix. — RecoverCounts","title":"Attempt to recover raw counts from the normalized matrix. — RecoverCounts","text":"Attempt recover raw counts normalized matrix.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RecoverCounts.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Attempt to recover raw counts from the normalized matrix. — RecoverCounts","text":"","code":"RecoverCounts(   srt,   assay = NULL,   trans = c(\"expm1\", \"exp\", \"none\"),   min_count = c(1, 2, 3),   tolerance = 0.1,   sf = NULL,   verbose = TRUE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RecoverCounts.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Attempt to recover raw counts from the normalized matrix. — RecoverCounts","text":"srt Seurat object. assay Name assay recover counts. trans transformation function applied data presumed log-normalized. min_count Minimum UMI count genes. tolerance recovering raw counts, nCount cell theoretically calculated integer. However, due decimal point preservation normalization, calculated nCount usually floating point number close integer. tolerance difference integer. Default 0.1 sf Set scaling factor manually. verbose Show messages.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RecoverCounts.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Attempt to recover raw counts from the normalized matrix. — RecoverCounts","text":"","code":"data(\"pancreas_sub\") raw_counts <- pancreas_sub@assays$RNA@counts  # Normalized the data pancreas_sub <- Seurat::NormalizeData(pancreas_sub)  # Now replace counts with the log-normalized data matrix pancreas_sub@assays$RNA@counts <- pancreas_sub@assays$RNA@data  # Recover the counts and compare with the raw counts matrix pancreas_sub <- RecoverCounts(pancreas_sub) #> The data is presumed to be log-normalized. #> Perform expm1 on the raw data. #> The presumed scale factor: 10000 identical(raw_counts, pancreas_sub@assays$RNA@counts) #> [1] TRUE"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RenameClusters.html","id":null,"dir":"Reference","previous_headings":"","what":"Rename clusters for the Seurat object — RenameClusters","title":"Rename clusters for the Seurat object — RenameClusters","text":"Rename clusters Seurat object","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RenameClusters.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Rename clusters for the Seurat object — RenameClusters","text":"","code":"RenameClusters(   srt,   group.by,   nameslist = list(),   name = \"newclusters\",   keep_levels = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RenameClusters.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Rename clusters for the Seurat object — RenameClusters","text":"srt Seurat object. group.old group used rename cells. nameslist named list new cluster value. name name new cluster stored Seurat object. keep_levels old group factor, keep order levels.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RenameClusters.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Rename clusters for the Seurat object — RenameClusters","text":"","code":"data(\"pancreas_sub\") levels(pancreas_sub@meta.data[[\"SubCellType\"]]) #> [1] \"Ductal\"        \"Ngn3 low EP\"   \"Ngn3 high EP\"  \"Pre-endocrine\" \"Beta\"          \"Alpha\"         \"Delta\"         #> [8] \"Epsilon\"        # Rename all clusters pancreas_sub <- RenameClusters(pancreas_sub, group.by = \"SubCellType\", nameslist = letters[1:8]) CellDimPlot(pancreas_sub, \"newclusters\")   # Rename specified clusters pancreas_sub <- RenameClusters(pancreas_sub,   group.by = \"SubCellType\",   nameslist = list(\"a\" = \"Alpha\", \"b\" = \"Beta\") ) CellDimPlot(pancreas_sub, \"newclusters\")   # Merge and rename clusters pancreas_sub <- RenameClusters(pancreas_sub,   group.by = \"SubCellType\",   nameslist = list(\"EndocrineClusters\" = c(\"Alpha\", \"Beta\", \"Epsilon\", \"Delta\")),   name = \"Merged\", keep_levels = TRUE ) CellDimPlot(pancreas_sub, \"Merged\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RenameFeatures.html","id":null,"dir":"Reference","previous_headings":"","what":"Rename features for the Seurat object — RenameFeatures","title":"Rename features for the Seurat object — RenameFeatures","text":"Rename features Seurat object","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RenameFeatures.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Rename features for the Seurat object — RenameFeatures","text":"","code":"RenameFeatures(srt, newnames = NULL, assays = NULL)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RenameFeatures.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Rename features for the Seurat object — RenameFeatures","text":"srt Seurat object. newnames vector length features Seurat object, characters named old features. assays Assays rename.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RenameFeatures.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Rename features for the Seurat object — RenameFeatures","text":"","code":"data(\"panc8_sub\") head(rownames(panc8_sub)) #> [1] \"A1BG\"   \"A1CF\"   \"A2M\"    \"A4GALT\" \"AAAS\"   \"AACS\"   # Simply convert genes from human to mouse and preprocess the data genenames <- make.unique(capitalize(rownames(panc8_sub), force_tolower = TRUE)) panc8_rename <- RenameFeatures(panc8_sub, newnames = genenames) #> Rename features for the assay: RNA head(rownames(panc8_rename)) #> [1] \"A1bg\"   \"A1cf\"   \"A2m\"    \"A4galt\" \"Aaas\"   \"Aacs\""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunCSSMap.html","id":null,"dir":"Reference","previous_headings":"","what":"Single-cell reference mapping with CSS method — RunCSSMap","title":"Single-cell reference mapping with CSS method — RunCSSMap","text":"Single-cell reference mapping CSS method","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunCSSMap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Single-cell reference mapping with CSS method — RunCSSMap","text":"","code":"RunCSSMap(   srt_query,   srt_ref,   query_assay = NULL,   ref_assay = srt_ref[[ref_css]]@assay.used,   ref_css = NULL,   ref_umap = NULL,   ref_group = NULL,   projection_method = c(\"model\", \"knn\"),   nn_method = NULL,   k = 30,   distance_metric = \"cosine\",   vote_fun = \"mean\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunCSSMap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Single-cell reference mapping with CSS method — RunCSSMap","text":"ref_assay","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunCSSMap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Single-cell reference mapping with CSS method — RunCSSMap","text":"","code":"data(\"panc8_sub\") srt_ref <- panc8_sub[, panc8_sub$tech != \"fluidigmc1\"] srt_query <- panc8_sub[, panc8_sub$tech == \"fluidigmc1\"] srt_ref <- Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"CSS\") #> [2023-09-01 05:36:14.652516] Start CSS_integrate #> Error in Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"CSS\"): object 'srt_ref' not found CellDimPlot(srt_ref, group.by = c(\"celltype\", \"tech\")) #> Error in DefaultReduction(srt): Unable to find any reductions.  # Projection srt_query <- RunCSSMap(srt_query = srt_query, srt_ref = srt_ref, ref_css = \"CSS\", ref_umap = \"CSSUMAP2D\") #> Error: Cannot find 'CSS' in this Seurat object ProjectionPlot(srt_query = srt_query, srt_ref = srt_ref, query_group = \"celltype\", ref_group = \"celltype\") #> Error: Cannot find 'ref.embeddings' in this Seurat object"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunCellQC.html","id":null,"dir":"Reference","previous_headings":"","what":"Run cell-level quality control for single cell RNA-seq data. — RunCellQC","title":"Run cell-level quality control for single cell RNA-seq data. — RunCellQC","text":"CellQC, doublet-calling run first reject abnormal cell data based median absolute deviation (MAD) outliers. doublet-calling outlier filtering, CellQC perform general QC (gene count, UMI count, etc.) reject cell data non-species interest based proportion number UMIs species.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunCellQC.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run cell-level quality control for single cell RNA-seq data. — RunCellQC","text":"","code":"RunCellQC(   srt,   assay = \"RNA\",   batch = NULL,   qc_metrics = c(\"doublets\", \"outlier\", \"umi\", \"gene\", \"mito\", \"ribo\", \"ribo_mito_ratio\",     \"species\"),   return_filtered = FALSE,   db_method = \"scDblFinder\",   db_rate = NULL,   db_coefficient = 0.01,   outlier_cutoff = c(\"log10_nCount:lower:2.5\", \"log10_nCount:higher:5\",     \"log10_nFeature:lower:2.5\", \"log10_nFeature:higher:5\", \"featurecount_dist:lower:2.5\"),   outlier_n = 1,   UMI_threshold = 3000,   gene_threshold = 1000,   mito_threshold = 20,   mito_pattern = c(\"MT-\", \"Mt-\", \"mt-\"),   mito_gene = NULL,   ribo_threshold = 50,   ribo_pattern = c(\"RP[SL]\\\\d+\\\\w{0,1}\\\\d*$\", \"Rp[sl]\\\\d+\\\\w{0,1}\\\\d*$\",     \"rp[sl]\\\\d+\\\\w{0,1}\\\\d*$\"),   ribo_gene = NULL,   ribo_mito_ratio_range = c(1, Inf),   species = NULL,   species_gene_prefix = NULL,   species_percent = 95,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunCellQC.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run cell-level quality control for single cell RNA-seq data. — RunCellQC","text":"srt Seurat object. assay Assay use. qc_metrics QC metrics applied. return_filtered Whether return cell-filtered Seurat object. db_method Doublet-calling methods used. Can one scDblFinder, Scrublet, DoubletDetection, scds_cxds, scds_bcds, scds_hybrid db_rate expected doublet rate. default assumed 1% per thousand cells captured (4% among 4000 thousand cells), appropriate 10x datasets. outlier_cutoff MAD outlier metrics. See isOutlier. outlier_n Minimum number outlier metrics meet conditions determining outlier cells. Default 1. UMI_threshold UMI number threshold. Cells exceed threshold considered kept. Default 3000. gene_threshold Gene number threshold. Cells exceed threshold considered kept. Default 1000. mito_threshold Percentage UMI counts mitochondrial genes. Cells exceed threshold considered discarded. Default 20. mito_pattern Regex patterns match mitochondrial genes. mito_gene defined mitochondrial genes. features provided, ignore mito_pattern matching. ribo_threshold Percentage UMI counts ribosomal genes. Cells exceed threshold considered discarded. Default 50. ribo_pattern Regex patterns match ribosomal genes. ribo_gene defined ribosomal genes. features provided, ignore ribo_pattern matching. species Species used suffix QC metrics. first species interest. Default NULL. species_gene_prefix Species gene prefix used calculate QC metrics species. Default NULL. species_percent Percentage UMI counts first species. Cells exceed threshold considered kept. Default 95. seed Set random seed. Default 11.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunCellQC.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run cell-level quality control for single cell RNA-seq data. — RunCellQC","text":"Returns Seurat object QC results stored meta.data slot.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunCellQC.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Run cell-level quality control for single cell RNA-seq data. — RunCellQC","text":"General quality control usually uses metrics gene count, UMI count, etc. addition, ribo content mito content can used QC indicators: mito content can used indication apoptosis, general threshold 20 ribo content cell type dependent, cell types even 50 however, ribo content single cell data can also indicate whether empty droplets, ribo content empty droplets usually high mito content low instead.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunCellQC.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run cell-level quality control for single cell RNA-seq data. — RunCellQC","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunCellQC(pancreas_sub) #> >>> Total cells: 1000  #> >>> Cells which are filtered out: 26  #> ... 12 potential doublets  #> ... 14 outlier cells  #> ... 0 low-UMI cells  #> ... 0 low-gene cells  #> ... 0 high-mito cells  #> ... 0 high-ribo cells  #> ... 0 ribo_mito_ratio outlier cells  #> ... 0 species-contaminated cells  #> >>> Remained cells after filtering: 974  CellStatPlot(   srt = pancreas_sub,   stat.by = c(     \"db_qc\", \"outlier_qc\", \"umi_qc\", \"gene_qc\",     \"mito_qc\", \"ribo_qc\", \"ribo_mito_ratio_qc\", \"species_qc\"   ),   plot_type = \"upset\", stat_level = \"Fail\" ) #> `geom_line()`: Each group consists of only one observation. #> ℹ Do you need to adjust the group aesthetic? #> `geom_line()`: Each group consists of only one observation. #> ℹ Do you need to adjust the group aesthetic?  table(pancreas_sub$CellQC) #>  #> Pass Fail  #>  974   26   data(\"ifnb_sub\") ifnb_sub <- RunCellQC(ifnb_sub, batch = \"stim\", UMI_threshold = 1000, gene_threshold = 550) #> === CTRL === #> >>> Total cells: 1000  #> >>> Cells which are filtered out: 315  #> ... 54 potential doublets  #> ... 8 outlier cells  #> ... 28 low-UMI cells  #> ... 250 low-gene cells  #> ... 0 high-mito cells  #> ... 0 high-ribo cells  #> ... 0 ribo_mito_ratio outlier cells  #> ... 0 species-contaminated cells  #> >>> Remained cells after filtering: 685  #> === STIM === #> >>> Total cells: 1000  #> >>> Cells which are filtered out: 303  #> ... 42 potential doublets  #> ... 12 outlier cells  #> ... 25 low-UMI cells  #> ... 251 low-gene cells  #> ... 0 high-mito cells  #> ... 0 high-ribo cells  #> ... 0 ribo_mito_ratio outlier cells  #> ... 0 species-contaminated cells  #> >>> Remained cells after filtering: 697  CellStatPlot(   srt = ifnb_sub,   stat.by = c(     \"db_qc\", \"outlier_qc\", \"umi_qc\", \"gene_qc\",     \"mito_qc\", \"ribo_qc\", \"ribo_mito_ratio_qc\", \"species_qc\"   ),   plot_type = \"upset\", stat_level = \"Fail\" )  table(ifnb_sub$CellQC) #>  #> Pass Fail  #> 1382  618"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDEtest.html","id":null,"dir":"Reference","previous_headings":"","what":"Differential gene test — RunDEtest","title":"Differential gene test — RunDEtest","text":"Differential gene test","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDEtest.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Differential gene test — RunDEtest","text":"","code":"RunDEtest(   srt,   group_by = NULL,   group1 = NULL,   group2 = NULL,   cells1 = NULL,   cells2 = NULL,   features = NULL,   markers_type = c(\"all\", \"paired\", \"conserved\", \"disturbed\"),   grouping.var = NULL,   meta.method = c(\"maximump\", \"minimump\", \"wilkinsonp\", \"meanp\", \"sump\", \"votep\"),   test.use = \"wilcox\",   only.pos = TRUE,   fc.threshold = 1.5,   base = 2,   pseudocount.use = 1,   mean.fxn = NULL,   min.pct = 0.1,   min.diff.pct = -Inf,   max.cells.per.ident = Inf,   latent.vars = NULL,   min.cells.feature = 3,   min.cells.group = 3,   norm.method = \"LogNormalize\",   p.adjust.method = \"bonferroni\",   slot = \"data\",   assay = NULL,   BPPARAM = BiocParallel::bpparam(),   seed = 11,   verbose = TRUE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDEtest.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Differential gene test — RunDEtest","text":"srt Seurat object group_by group_by fc.threshold fc.threshold min.pct min.pct verbose  force force","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDEtest.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Differential gene test — RunDEtest","text":"","code":"library(dplyr) data(\"pancreas_sub\")  pancreas_sub <- RunDEtest(pancreas_sub, group_by = \"SubCellType\") #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. #> [2023-09-01 05:37:35.60513] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 8 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 05:37:40.288432] DEtest done #> Elapsed time:4.68 secs AllMarkers <- filter(pancreas_sub@tools$DEtest_SubCellType$AllMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1) table(AllMarkers$group1) #>  #>        Ductal   Ngn3 low EP  Ngn3 high EP Pre-endocrine          Beta         Alpha         Delta       Epsilon  #>            75            29            69            39            61            50            37            44  ht1 <- GroupHeatmap(pancreas_sub, features = AllMarkers$gene, feature_split = AllMarkers$group1, group.by = \"SubCellType\") #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht1$plot   TopMarkers <- AllMarkers %>%   group_by(gene) %>%   top_n(1, avg_log2FC) %>%   group_by(group1) %>%   top_n(3, avg_log2FC) ht2 <- GroupHeatmap(pancreas_sub, features = TopMarkers$gene, feature_split = TopMarkers$group1, group.by = \"SubCellType\", show_row_names = TRUE) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht2$plot   pancreas_sub <- RunDEtest(pancreas_sub, group_by = \"SubCellType\", markers_type = \"paired\") #> [2023-09-01 05:37:42.57943] Start DEtest #> Workers: 1 #> Find paired markers(wilcox) among 8 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 05:38:03.960191] DEtest done #> Elapsed time:21.38 secs PairedMarkers <- filter(pancreas_sub@tools$DEtest_SubCellType$PairedMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1) table(PairedMarkers$group1) #>  #>        Ductal   Ngn3 low EP  Ngn3 high EP Pre-endocrine          Beta         Alpha         Delta       Epsilon  #>           893           787           680           571           645           575           426           575  ht3 <- GroupHeatmap(pancreas_sub, features = PairedMarkers$gene, feature_split = PairedMarkers$group1, group.by = \"SubCellType\") #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht3$plot   data(\"panc8_sub\") panc8_sub <- Integration_SCP(panc8_sub, batch = \"tech\", integration_method = \"Seurat\") #> [2023-09-01 05:38:13.39741] Start Seurat_integrate #> [2023-09-01 05:38:13.410245] Spliting srtMerge into srtList by column tech... ... #> [2023-09-01 05:38:13.884405] Checking srtList... ... #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/5 of the srtList... #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 2/5 of the srtList... #> Data 3/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 3/5 of the srtList... #> Data 4/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 4/5 of the srtList... #> Data 5/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 5/5 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-01 05:38:17.094861] Finished checking. #> [2023-09-01 05:38:19.122633] Perform FindIntegrationAnchors on the data... #> [2023-09-01 05:38:41.695236] Perform integration(Seurat) on the data... #> [2023-09-01 05:38:48.797758] Perform ScaleData on the data... #> [2023-09-01 05:38:49.000053] Perform linear dimension reduction (pca) on the data... #> [2023-09-01 05:38:50.122397] Perform FindClusters (louvain) on the data... #> [2023-09-01 05:38:50.287403] Reorder clusters... #> [2023-09-01 05:38:50.473265] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Seuratpca, dims:1-12) as input #> Non-linear dimensionality reduction(umap) using Reduction(Seuratpca, dims:1-12) as input #> [2023-09-01 05:39:00.792318] Seurat_integrate done #> Elapsed time: 47.39 secs  CellDimPlot(panc8_sub, group.by = c(\"celltype\", \"tech\"))   panc8_sub <- RunDEtest(panc8_sub, group_by = \"celltype\", grouping.var = \"tech\", markers_type = \"conserved\") #> [2023-09-01 05:39:01.593456] Start DEtest #> Workers: 1 #> Find conserved markers(wilcox) among 13 groups... #>    |                                                                                                                       |                                                                                                              |   0% #> Warning: celseq has fewer than 3 cells. Skipping celseq #> Warning: celseq has fewer than 3 cells. Skipping celseq #> Warning: celseq2 has fewer than 3 cells. Skipping celseq2 #> Warning: fluidigmc1 has fewer than 3 cells. Skipping fluidigmc1 #> Warning: smartseq2 has fewer than 3 cells. Skipping smartseq2 #> Warning: indrop has fewer than 3 cells. Skipping indrop #> Warning: No group was tested #> Warning: celseq has fewer than 3 cells. Skipping celseq #> Warning: celseq2 has fewer than 3 cells. Skipping celseq2 #> Warning: smartseq2 has fewer than 3 cells. Skipping smartseq2 #> Warning: celseq has fewer than 3 cells. Skipping celseq #> Warning: fluidigmc1 has fewer than 3 cells. Skipping fluidigmc1 #> Warning: smartseq2 has fewer than 3 cells. Skipping smartseq2 #> Warning: celseq has fewer than 3 cells. Skipping celseq #> Warning: celseq2 has fewer than 3 cells. Skipping celseq2 #> Warning: fluidigmc1 has fewer than 3 cells. Skipping fluidigmc1 #> Warning: smartseq2 has fewer than 3 cells. Skipping smartseq2 #> Warning: Only a single group was tested #> Warning: celseq has fewer than 3 cells. Skipping celseq #> Warning: celseq2 has fewer than 3 cells. Skipping celseq2 #> Warning: smartseq2 has fewer than 3 cells. Skipping smartseq2 #> Warning: indrop has fewer than 3 cells. Skipping indrop #> Warning: Only a single group was tested #>    |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 05:39:32.463374] DEtest done #> Elapsed time:30.87 secs ConservedMarkers1 <- filter(panc8_sub@tools$DEtest_celltype$ConservedMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1) table(ConservedMarkers1$group1) #>  #>              alpha               beta             ductal             acinar activated_stellate              gamma  #>                 34                 47                145                 89                171                 16  #>              delta            epsilon               mast        endothelial         macrophage quiescent_stellate  #>                  8                  0                  0                128                152                105  #>            schwann  #>                 16  ht4 <- GroupHeatmap(panc8_sub,   slot = \"data\",   features = ConservedMarkers1$gene, feature_split = ConservedMarkers1$group1,   group.by = \"tech\", split.by = \"celltype\", within_groups = TRUE ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht4$plot   panc8_sub <- RunDEtest(panc8_sub, group_by = \"tech\", grouping.var = \"celltype\", markers_type = \"conserved\") #> [2023-09-01 05:39:40.26859] Start DEtest #> Workers: 1 #> Find conserved markers(wilcox) among 5 groups... #>    |                                                                                                                       |                                                                                                              |   0% #> Warning: mast has fewer than 3 cells. Skipping mast #> Warning: schwann has fewer than 3 cells. Skipping schwann #> Warning: epsilon has fewer than 3 cells. Skipping epsilon #> Warning: macrophage has fewer than 3 cells. Skipping macrophage #> Warning: quiescent_stellate has fewer than 3 cells. Skipping quiescent_stellate #> Warning: endothelial has fewer than 3 cells. Skipping endothelial #> Warning: activated_stellate has fewer than 3 cells. Skipping activated_stellate #> Warning: mast has fewer than 3 cells. Skipping mast #> Warning: schwann has fewer than 3 cells. Skipping schwann #> Warning: epsilon has fewer than 3 cells. Skipping epsilon #> Warning: quiescent_stellate has fewer than 3 cells. Skipping quiescent_stellate #> Warning: endothelial has fewer than 3 cells. Skipping endothelial #> Warning: mast has fewer than 3 cells. Skipping mast #> Warning: schwann has fewer than 3 cells. Skipping schwann #> Warning: epsilon has fewer than 3 cells. Skipping epsilon #> Warning: macrophage has fewer than 3 cells. Skipping macrophage #> Warning: quiescent_stellate has fewer than 3 cells. Skipping quiescent_stellate #> Warning: mast has fewer than 3 cells. Skipping mast #> Warning: schwann has fewer than 3 cells. Skipping schwann #> Warning: epsilon has fewer than 3 cells. Skipping epsilon #> Warning: mast has fewer than 3 cells. Skipping mast #> Warning: schwann has fewer than 3 cells. Skipping schwann #> Warning: epsilon has fewer than 3 cells. Skipping epsilon #> Warning: macrophage has fewer than 3 cells. Skipping macrophage #> Warning: quiescent_stellate has fewer than 3 cells. Skipping quiescent_stellate #> Warning: endothelial has fewer than 3 cells. Skipping endothelial #>    |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 05:40:03.865703] DEtest done #> Elapsed time:23.6 secs ConservedMarkers2 <- filter(panc8_sub@tools$DEtest_tech$ConservedMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1) table(ConservedMarkers2$group1) #>  #>     celseq    celseq2 fluidigmc1     indrop  smartseq2  #>         29         11         61         52         22  ht4 <- GroupHeatmap(panc8_sub,   slot = \"data\",   features = ConservedMarkers2$gene, feature_split = ConservedMarkers2$group1,   group.by = \"tech\", split.by = \"celltype\" ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht4$plot   panc8_sub <- RunDEtest(panc8_sub, group_by = \"celltype\", grouping.var = \"tech\", markers_type = \"disturbed\") #> [2023-09-01 05:40:06.537394] Start DEtest #> Workers: 1 #> Find disturbed markers(wilcox) among 13 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 05:40:33.791313] DEtest done #> Elapsed time:27.25 secs DisturbedMarkers <- filter(panc8_sub@tools$DEtest_celltype$DisturbedMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1 & var1 == \"smartseq2\") table(DisturbedMarkers$group1) #>  #>              alpha               beta             ductal             acinar activated_stellate              gamma  #>                 37                117                 71                116                  5                  6  #>              delta            epsilon               mast        endothelial         macrophage quiescent_stellate  #>                 16                  0                  0                  0                  0                  0  #>            schwann  #>                  0  ht5 <- GroupHeatmap(panc8_sub,   slot = \"data\",   features = DisturbedMarkers$gene, feature_split = DisturbedMarkers$group1,   group.by = \"celltype\", split.by = \"tech\" ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht5$plot   gene_specific <- names(which(table(DisturbedMarkers$gene) == 1)) DisturbedMarkers_specific <- DisturbedMarkers[DisturbedMarkers$gene %in% gene_specific, ] table(DisturbedMarkers_specific$group1) #>  #>              alpha               beta             ductal             acinar activated_stellate              gamma  #>                  3                 67                 27                 61                  4                  3  #>              delta            epsilon               mast        endothelial         macrophage quiescent_stellate  #>                 13                  0                  0                  0                  0                  0  #>            schwann  #>                  0  ht6 <- GroupHeatmap(panc8_sub,   slot = \"data\",   features = DisturbedMarkers_specific$gene, feature_split = DisturbedMarkers_specific$group1,   group.by = \"celltype\", split.by = \"tech\" ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht6$plot   ht7 <- GroupHeatmap(panc8_sub,   slot = \"data\", aggregate_fun = function(x) mean(expm1(x)) + 1,   features = DisturbedMarkers_specific$gene, feature_split = DisturbedMarkers_specific$group1,   group.by = \"celltype\", grouping.var = \"tech\", numerator = \"smartseq2\" ) #> Warning: When 'grouping.var' is specified, 'exp_method' can only be 'log2fc' #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht7$plot"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDM.html","id":null,"dir":"Reference","previous_headings":"","what":"Run DiffusionMap(DM) — RunDM","title":"Run DiffusionMap(DM) — RunDM","text":"Run DM dimensionality reduction.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDM.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run DiffusionMap(DM) — RunDM","text":"","code":"RunDM(object, ...)  # S3 method for Seurat RunDM(   object,   reduction = \"pca\",   dims = 1:30,   features = NULL,   assay = NULL,   slot = \"data\",   graph = NULL,   neighbor = NULL,   ndcs = 2,   sigma = \"local\",   k = 30,   dist.method = \"euclidean\",   reduction.name = \"dm\",   reduction.key = \"DM_\",   seed.use = 42,   verbose = TRUE,   ... )  # S3 method for matrix RunDM(   object,   ndcs = 2,   sigma = \"local\",   k = 30,   dist.method = \"euclidean\",   assay = NULL,   slot = \"data\",   reduction.key = \"DM_\",   seed.use = 42,   verbose = TRUE,   ... )  # S3 method for Neighbor RunDM(   object,   ndcs = 2,   sigma = \"local\",   k = 30,   slot = \"data\",   assay = NULL,   reduction.key = \"DM_\",   verbose = TRUE,   seed.use = 42,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDM.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run DiffusionMap(DM) — RunDM","text":"object  ...  assay Name Assay dm run . slot Name slot dm run . graph  ndcs Total Number DM compute store (2 default). reduction.name dimensional reduction name, 'dm' default reduction.key dimensional reduction key, specifies string number dimension names. \"DM_\" default. seed.use Set random seed. default, sets seed 42. Setting NULL set seed. verbose Show progressbar progress information","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDM.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run DiffusionMap(DM) — RunDM","text":"Returns Seurat object DM calculation stored reductions slot.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDimReduction.html","id":null,"dir":"Reference","previous_headings":"","what":"Run dimensionality reduction — RunDimReduction","title":"Run dimensionality reduction — RunDimReduction","text":"Run dimensionality reduction","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDimReduction.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run dimensionality reduction — RunDimReduction","text":"","code":"RunDimReduction(   srt,   prefix = \"\",   features = NULL,   assay = NULL,   slot = \"data\",   linear_reduction = NULL,   linear_reduction_dims = 50,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   nonlinear_reduction = NULL,   nonlinear_reduction_dims = 2,   reduction_use = NULL,   reduction_dims = NULL,   graph_use = NULL,   neighbor_use = NULL,   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   verbose = TRUE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDimReduction.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run dimensionality reduction — RunDimReduction","text":"srt Seurat object. prefix prefix used name result. features Use features expression data run linear nonlinear dimensionality reduction. assay Specific assay get data . slot Specific slot get data . linear_reduction Method linear dimensionality reduction. Options \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Total number dimensions compute store linear_reduction. linear_reduction_params parameters passed linear_reduction method. force_linear_reduction Whether force linear dimensionality reduction. nonlinear_reduction Method nonlinear dimensionality reduction. Options \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\" nonlinear_reduction_dims Total number dimensions compute store nonlinear_reduction. reduction_use dimensional reduction use input nonlinear_reduction. reduction_dims dimensions use input nonlinear_reduction, used features NULL. graph_use Name graph use nonlinear_reduction. neighbor_use Name neighbor use nonlinear_reduction. nonlinear_reduction_params parameters passed nonlinear_reduction method. force_nonlinear_reduction Whether force nonlinear dimensionality reduction. verbose Show messages. seed Set seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDoubletCalling.html","id":null,"dir":"Reference","previous_headings":"","what":"Run doublet-calling for single cell RNA-seq data. — RunDoubletCalling","title":"Run doublet-calling for single cell RNA-seq data. — RunDoubletCalling","text":"Identification heterotypic (neotypic) doublets single-cell RNAseq data.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDoubletCalling.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run doublet-calling for single cell RNA-seq data. — RunDoubletCalling","text":"","code":"RunDoubletCalling(   srt,   assay = \"RNA\",   db_method = \"scDblFinder\",   db_rate = ncol(srt)/1000 * 0.01,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDoubletCalling.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run doublet-calling for single cell RNA-seq data. — RunDoubletCalling","text":"srt Seurat object. assay Assay use. db_method Doublet-calling methods used. Can one scDblFinder, Scrublet, DoubletDetection, scds_cxds, scds_bcds, scds_hybrid db_rate expected doublet rate. default assumed 1% per thousand cells captured (4% among 4000 thousand cells), appropriate 10x datasets. ... Arguments passed corresponding doublet-calling method.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDoubletCalling.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run doublet-calling for single cell RNA-seq data. — RunDoubletCalling","text":"Returns Seurat object doublet prediction results prediction scores stored meta.data slot.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDoubletCalling.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run doublet-calling for single cell RNA-seq data. — RunDoubletCalling","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunDoubletCalling(pancreas_sub, db_method = \"scDblFinder\") CellDimPlot(pancreas_sub, reduction = \"umap\", group.by = \"db.scDblFinder_class\")  FeatureDimPlot(pancreas_sub, reduction = \"umap\", features = \"db.scDblFinder_score\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDynamicEnrichment.html","id":null,"dir":"Reference","previous_headings":"","what":"RunDynamicEnrichment — RunDynamicEnrichment","title":"RunDynamicEnrichment — RunDynamicEnrichment","text":"RunDynamicEnrichment","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDynamicEnrichment.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"RunDynamicEnrichment — RunDynamicEnrichment","text":"","code":"RunDynamicEnrichment(   srt,   lineages,   score_method = \"AUCell\",   ncore = 1,   slot = \"data\",   assay = NULL,   min_expcells = 20,   r.sq = 0.2,   dev.expl = 0.2,   padjust = 0.05,   IDtype = \"symbol\",   species = \"Homo_sapiens\",   db = \"GO_BP\",   db_update = FALSE,   db_version = \"latest\",   convert_species = TRUE,   Ensembl_version = 103,   mirror = NULL,   TERM2GENE = NULL,   TERM2NAME = NULL,   minGSSize = 10,   maxGSSize = 500,   BPPARAM = BiocParallel::bpparam(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDynamicEnrichment.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"RunDynamicEnrichment — RunDynamicEnrichment","text":"convert_species","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDynamicEnrichment.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"RunDynamicEnrichment — RunDynamicEnrichment","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\") #> Warning: Removed 8 rows containing missing values (`geom_path()`). #> Warning: Removed 8 rows containing missing values (`geom_path()`).  pancreas_sub <- RunDynamicFeatures(pancreas_sub, lineages = \"Lineage1\", n_candidates = 200) #> [2023-09-01 05:41:22.092829] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 199 #> Calculate dynamic features for Lineage1... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 05:41:35.26642] RunDynamicFeatures done #> Elapsed time:13.17 secs ht1 <- DynamicHeatmap(   srt = pancreas_sub,   lineages = \"Lineage1\",   cell_annotation = \"SubCellType\",   n_split = 4 ) #> 146 features from Lineage1 passed the threshold (exp_ncells>20 & r.sq>0.2 & dev.expl>0.2 & padjust<0.05):  #> Gcg,Iapp,Pyy,Chgb,Slc38a5,Rbp4,Lrpprc,Cck,2810417H13Rik,Chga... #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> The size of the heatmap will be fixed as some elements are not scalable. ht1$plot   pancreas_sub <- RunDynamicEnrichment(   srt = pancreas_sub,   lineages = \"Lineage1\",   score_method = \"AUCell\",   db = \"GO_BP\",   species = \"Mus_musculus\" ) #> [2023-09-01 05:41:38.036477] Start RunDynamicFeatures #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-01 05:12:05.52538 #> Data is raw counts. Perform NormalizeData(LogNormalize) on the data ... #> Number of feature lists to be scored: 2738 #> [2023-09-01 05:41:43.663877] Start CellScoring #> Workers: 1 #> Warning: Feature names cannot have underscores ('_'), replacing with dashes ('-') #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from go_bp_ to gobp_ #> [2023-09-01 05:44:16.324869] CellScoring done #> Elapsed time:2.54 mins #> [2023-09-01 05:44:16.327247] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 2738 #> Calculate dynamic features for Lineage1... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 05:44:52.927147] RunDynamicFeatures done #> Elapsed time:36.6 secs #> [2023-09-01 05:44:52.927795] RunDynamicEnrichment done #> Elapsed time:3.25 mins ht2 <- DynamicHeatmap(   srt = pancreas_sub,   assay = \"GO_BP\",   lineages = \"Lineage1_GO_BP\",   cell_annotation = \"SubCellType\",   n_split = 4,   split_method = \"kmeans-peaktime\" ) #> 1856 features from Lineage1_GO_BP passed the threshold (exp_ncells>20 & r.sq>0.2 & dev.expl>0.2 & padjust<0.05):  #> GO-BP-2..deoxyribonucleotide.biosynthetic.process,GO-BP-2..deoxyribonucleotide.metabolic.process,GO-BP-ADP.metabolic.process,GO-BP-ATP.biosynthetic.process,GO-BP-ATP.metabolic.process,GO-BP-B.cell.activation,GO-BP-B.cell.apoptotic.process,GO-BP-B.cell.proliferation,GO-BP-CD4.positive..alpha.beta.T.cell.activation,GO-BP-DNA.conformation.change... #> Warning: The values in the 'counts' slot are non-integer. Set the library size to 1. #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> The size of the heatmap will be fixed as some elements are not scalable. ht2$plot"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDynamicFeatures.html","id":null,"dir":"Reference","previous_headings":"","what":"RunDynamicFeatures — RunDynamicFeatures","title":"RunDynamicFeatures — RunDynamicFeatures","text":"RunDynamicFeatures","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDynamicFeatures.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"RunDynamicFeatures — RunDynamicFeatures","text":"","code":"RunDynamicFeatures(   srt,   lineages,   features = NULL,   suffix = lineages,   n_candidates = 1000,   minfreq = 5,   family = NULL,   slot = \"counts\",   assay = NULL,   libsize = NULL,   BPPARAM = BiocParallel::bpparam(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDynamicFeatures.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"RunDynamicFeatures — RunDynamicFeatures","text":"seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDynamicFeatures.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"RunDynamicFeatures — RunDynamicFeatures","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\") #> Warning: Removed 8 rows containing missing values (`geom_path()`). #> Warning: Removed 8 rows containing missing values (`geom_path()`).  pancreas_sub <- RunDynamicFeatures(pancreas_sub, lineages = c(\"Lineage1\", \"Lineage2\"), n_candidates = 200) #> [2023-09-01 05:45:25.699246] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 225 #> Calculate dynamic features for Lineage1... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> Calculate dynamic features for Lineage2... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 05:45:50.810577] RunDynamicFeatures done #> Elapsed time:25.11 secs names(pancreas_sub@tools$DynamicFeatures_Lineage1) #> [1] \"DynamicFeatures\" \"raw_matrix\"      \"fitted_matrix\"   \"upr_matrix\"      \"lwr_matrix\"      \"libsize\"         #> [7] \"lineages\"        \"family\"          head(pancreas_sub@tools$DynamicFeatures_Lineage1$DynamicFeatures) #>      features exp_ncells      r.sq  dev.expl peaktime valleytime pvalue padjust #> Gcg       Gcg        187 0.4655182 0.8691204 30.15024 24.1773998      0       0 #> Iapp     Iapp        334 0.4034078 0.7935303 30.15024  0.2290427      0       0 #> Pyy       Pyy        478 0.4559669 0.7388797 27.49398 15.9875637      0       0 #> Ppy       Ppy         88 0.1095566 0.6091776 30.15024  9.5549970      0       0 #> Gast     Gast        111 0.0591293 0.6073730 29.50531 10.7006670      0       0 #> Chgb     Chgb        346 0.4033797 0.7620188 23.04485 11.4825349      0       0 ht <- DynamicHeatmap(   srt = pancreas_sub,   lineages = c(\"Lineage1\", \"Lineage2\"),   cell_annotation = \"SubCellType\",   n_split = 6, reverse_ht = \"Lineage1\" ) #> 169 features from Lineage1,Lineage2 passed the threshold (exp_ncells>20 & r.sq>0.2 & dev.expl>0.2 & padjust<0.05):  #> Gcg,Iapp,Pyy,Chgb,Slc38a5,Rbp4,Lrpprc,Cck,2810417H13Rik,Chga... #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> The size of the heatmap will be fixed as some elements are not scalable. ht$plot   DynamicPlot(   srt = pancreas_sub,   lineages = c(\"Lineage1\", \"Lineage2\"),   features = c(\"Nnat\", \"Irx1\"),   group.by = \"SubCellType\",   compare_lineages = TRUE,   compare_features = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunEnrichment.html","id":null,"dir":"Reference","previous_headings":"","what":"Perform the enrichment analysis(over-representation) on the genes — RunEnrichment","title":"Perform the enrichment analysis(over-representation) on the genes — RunEnrichment","text":"Perform enrichment analysis(-representation) genes","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunEnrichment.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Perform the enrichment analysis(over-representation) on the genes — RunEnrichment","text":"","code":"RunEnrichment(   srt = NULL,   group_by = NULL,   test.use = \"wilcox\",   DE_threshold = \"avg_log2FC > 0 & p_val_adj < 0.05\",   geneID = NULL,   geneID_groups = NULL,   geneID_exclude = NULL,   IDtype = \"symbol\",   result_IDtype = \"symbol\",   species = \"Homo_sapiens\",   db = \"GO_BP\",   db_update = FALSE,   db_version = \"latest\",   db_combine = FALSE,   convert_species = TRUE,   Ensembl_version = 103,   mirror = NULL,   TERM2GENE = NULL,   TERM2NAME = NULL,   minGSSize = 10,   maxGSSize = 500,   unlimited_db = c(\"Chromosome\", \"GeneType\", \"TF\", \"Enzyme\", \"CSPA\"),   GO_simplify = FALSE,   GO_simplify_cutoff = \"p.adjust < 0.05\",   simplify_method = \"Wang\",   simplify_similarityCutoff = 0.7,   BPPARAM = BiocParallel::bpparam(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunEnrichment.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Perform the enrichment analysis(over-representation) on the genes — RunEnrichment","text":"geneID geneID geneID_groups geneID_groups IDtype IDtype result_IDtype result_IDtype species species db enrichment database db_update db_update convert_species  TERM2GENE TERM2GENE TERM2NAME TERM2NAME minGSSize minGSSize maxGSSize maxGSSize GO_simplify GO_simplify simplify_method simplify_method simplify_similarityCutoff simplify_similarityCutoff GO_simplify_padjustCutoff GO_simplify_padjustCutoff universe universe","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunEnrichment.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Perform the enrichment analysis(over-representation) on the genes — RunEnrichment","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunDEtest(pancreas_sub, group_by = \"CellType\") #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. #> [2023-09-01 05:46:00.908922] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 5 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 05:46:04.118009] DEtest done #> Elapsed time:3.21 secs pancreas_sub <- RunEnrichment(   srt = pancreas_sub, group_by = \"CellType\", DE_threshold = \"avg_log2FC > 0 & p_val_adj < 0.05\",   db = \"GO_BP\", species = \"Mus_musculus\" ) #> [2023-09-01 05:46:04.120698] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-01 05:12:05.52538 #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 05:46:49.452022] Enrichment done #> Elapsed time:45.33 secs EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", plot_type = \"comparison\") #> Warning: Vectorized input to `element_text()` is not officially supported. #> ℹ Results may be unexpected or may change in future versions of ggplot2.   # Remove redundant GO terms pancreas_sub <- RunEnrichment(srt = pancreas_sub, group_by = \"CellType\", db = \"GO_BP\", GO_simplify = TRUE, species = \"Mus_musculus\") #> [2023-09-01 05:46:49.699932] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-01 05:12:05.52538 #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 05:48:18.464079] Enrichment done #> Elapsed time:1.48 mins EnrichmentPlot(pancreas_sub, db = \"GO_BP_sim\", group_by = \"CellType\", plot_type = \"comparison\") #> Warning: Vectorized input to `element_text()` is not officially supported. #> ℹ Results may be unexpected or may change in future versions of ggplot2.   # Use a combined database pancreas_sub <- RunEnrichment(   srt = pancreas_sub, group_by = \"CellType\",   db = c(\"KEGG\", \"WikiPathway\", \"Reactome\", \"PFAM\", \"MP\"),   db_combine = TRUE,   species = \"Mus_musculus\" ) #> [2023-09-01 05:48:18.740788] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: MP version:2023-08-28 08:02 nterm:10291 created:2023-09-01 05:15:39.154756 #> Preparing database: KEGG #> Preparing database: WikiPathway #> Preparing database: Reactome #> Preparing database: PFAM #> Convert ID types for the database: KEGG #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 9246 genes mapped with entrez_id #> ============================== #> 9246 genes mapped #> 86 genes unmapped #> ============================== #> Convert ID types for the database: WikiPathway #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 4560 genes mapped with entrez_id #> ============================== #> 4560 genes mapped #> 0 genes unmapped #> ============================== #> Convert ID types for the database: Reactome #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 8562 genes mapped with entrez_id #> ============================== #> 8562 genes mapped #> 6 genes unmapped #> ============================== #> Convert ID types for the database: PFAM #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 19463 genes mapped with entrez_id #> ============================== #> 19463 genes mapped #> 73 genes unmapped #> ============================== #> Create 'Combined' database ... #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 05:49:58.823383] Enrichment done #> Elapsed time:1.67 mins EnrichmentPlot(pancreas_sub, db = \"Combined\", group_by = \"CellType\", plot_type = \"comparison\") #> Warning: Vectorized input to `element_text()` is not officially supported. #> ℹ Results may be unexpected or may change in future versions of ggplot2.   # Or use \"geneID\" and \"geneID_groups\" as input to run enrichment de_df <- dplyr::filter(pancreas_sub@tools$DEtest_CellType$AllMarkers_wilcox, avg_log2FC > 0 & p_val_adj < 0.05) enrich_out <- RunEnrichment(geneID = de_df[[\"gene\"]], geneID_groups = de_df[[\"group1\"]], db = \"GO_BP\", species = \"Mus_musculus\") #> [2023-09-01 05:49:59.128159] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-01 05:12:05.52538 #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 05:50:46.754929] Enrichment done #> Elapsed time:47.63 secs EnrichmentPlot(res = enrich_out, db = \"GO_BP\", plot_type = \"comparison\") #> Warning: Vectorized input to `element_text()` is not officially supported. #> ℹ Results may be unexpected or may change in future versions of ggplot2."},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunFR.html","id":null,"dir":"Reference","previous_headings":"","what":"Create the force-directed layout developed by Fruchterman and Reingold. — RunFR","title":"Create the force-directed layout developed by Fruchterman and Reingold. — RunFR","text":"Create force-directed layout developed Fruchterman Reingold.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunFR.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create the force-directed layout developed by Fruchterman and Reingold. — RunFR","text":"","code":"RunFR(object, ...)  # S3 method for Seurat RunFR(   object,   reduction = NULL,   dims = NULL,   features = NULL,   assay = DefaultAssay(object = object),   slot = \"data\",   graph = NULL,   neighbor = NULL,   k.param = 20,   ndim = 2,   niter = 500,   seed.use = 42L,   verbose = TRUE,   reduction.name = \"FR\",   reduction.key = \"FR_\",   ... )  # S3 method for default RunFR(   object,   ndim = 2,   niter = 500,   reduction.key = \"FR_\",   verbose = TRUE,   seed.use = 11L,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunFR.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create the force-directed layout developed by Fruchterman and Reingold. — RunFR","text":"object  ...  n_components","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunGLMPCA.html","id":null,"dir":"Reference","previous_headings":"","what":"Run GLMPCA — RunGLMPCA","title":"Run GLMPCA — RunGLMPCA","text":"Run GLMPCA","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunGLMPCA.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run GLMPCA — RunGLMPCA","text":"","code":"RunGLMPCA(object, ...)  # S3 method for Seurat RunGLMPCA(   object,   L = 5,   fam = c(\"poi\", \"nb\", \"nb2\", \"binom\", \"mult\", \"bern\"),   assay = NULL,   slot = \"counts\",   features = NULL,   reduction.name = \"glmpca\",   reduction.key = \"GLMPC_\",   verbose = TRUE,   ... )  # S3 method for Assay RunGLMPCA(   object,   L = 5,   fam = c(\"poi\", \"nb\", \"nb2\", \"binom\", \"mult\", \"bern\"),   assay = NULL,   slot = \"counts\",   features = NULL,   reduction.name = \"glmpca\",   reduction.key = \"GLMPC_\",   verbose = TRUE,   ... )  # S3 method for default RunGLMPCA(   object,   L = 5,   fam = c(\"poi\", \"nb\", \"nb2\", \"binom\", \"mult\", \"bern\"),   assay = NULL,   slot = \"counts\",   features = NULL,   reduction.key = \"GLMPC_\",   verbose = TRUE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunGLMPCA.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run GLMPCA — RunGLMPCA","text":"object Seurat object ...  L number dimensions return (defaults 5) assay Assay use, defaults default assay features list features use performing GLM-PCA. null, defaults variable features. reduction.name Name store resulting DimReduc object . Defaults glmpca reduction.key Key resulting DimReduc. Defaults GLMPC_","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunGLMPCA.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run GLMPCA — RunGLMPCA","text":"Seurat object containing output GLMPCA stored DimReduc object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunGSEA.html","id":null,"dir":"Reference","previous_headings":"","what":"Perform the enrichment analysis(GSEA) on the genes — RunGSEA","title":"Perform the enrichment analysis(GSEA) on the genes — RunGSEA","text":"Perform enrichment analysis(GSEA) genes","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunGSEA.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Perform the enrichment analysis(GSEA) on the genes — RunGSEA","text":"","code":"RunGSEA(   srt = NULL,   group_by = NULL,   test.use = \"wilcox\",   DE_threshold = \"p_val_adj < 0.05\",   scoreType = \"std\",   geneID = NULL,   geneScore = NULL,   geneID_groups = NULL,   geneID_exclude = NULL,   IDtype = \"symbol\",   result_IDtype = \"symbol\",   species = \"Homo_sapiens\",   db = \"GO_BP\",   db_update = FALSE,   db_version = \"latest\",   db_combine = FALSE,   convert_species = TRUE,   Ensembl_version = 103,   mirror = NULL,   TERM2GENE = NULL,   TERM2NAME = NULL,   minGSSize = 10,   maxGSSize = 500,   unlimited_db = c(\"Chromosome\", \"GeneType\", \"TF\", \"Enzyme\", \"CSPA\"),   GO_simplify = FALSE,   GO_simplify_cutoff = \"p.adjust < 0.05\",   simplify_method = \"Wang\",   simplify_similarityCutoff = 0.7,   BPPARAM = BiocParallel::bpparam(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunGSEA.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Perform the enrichment analysis(GSEA) on the genes — RunGSEA","text":"geneID geneID geneID_groups geneID_groups IDtype IDtype result_IDtype result_IDtype species species db enrichment database db_update db_update convert_species  TERM2GENE TERM2GENE TERM2NAME TERM2NAME minGSSize minGSSize maxGSSize maxGSSize GO_simplify GO_simplify simplify_method simplify_method simplify_similarityCutoff simplify_similarityCutoff GO_simplify_padjustCutoff GO_simplify_padjustCutoff","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunGSEA.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Perform the enrichment analysis(GSEA) on the genes — RunGSEA","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunDEtest(pancreas_sub, group_by = \"CellType\", only.pos = FALSE, fc.threshold = 1) #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. #> [2023-09-01 05:50:50.163321] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 5 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 05:55:49.887801] DEtest done #> Elapsed time:5 mins pancreas_sub <- RunGSEA(pancreas_sub,   group_by = \"CellType\", DE_threshold = \"p_val_adj < 0.05\",   scoreType = \"std\", db = \"GO_BP\", species = \"Mus_musculus\" ) #> [2023-09-01 05:55:49.890738] Start GSEA #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-01 05:12:05.52538 #> Permform GSEA... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 06:01:25.644766] GSEA done #> Elapsed time:5.6 mins GSEAPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", plot_type = \"comparison\")  GSEAPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\", id_use = \"GO:0006412\")  GSEAPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Endocrine\", id_use = c(\"GO:0046903\", \"GO:0015031\", \"GO:0007600\"))   # Remove redundant GO terms pancreas_sub <- RunGSEA(srt = pancreas_sub, group_by = \"CellType\", db = \"GO_BP\", GO_simplify = TRUE, species = \"Mus_musculus\") #> [2023-09-01 06:01:27.756445] Start GSEA #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-01 05:12:05.52538 #> Permform GSEA... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 06:07:52.14914] GSEA done #> Elapsed time:6.41 mins GSEAPlot(pancreas_sub, db = \"GO_BP_sim\", group_by = \"CellType\", plot_type = \"comparison\")   # Use a combined database pancreas_sub <- RunGSEA(   srt = pancreas_sub, group_by = \"CellType\",   db = c(\"KEGG\", \"WikiPathway\", \"Reactome\", \"PFAM\", \"MP\"),   db_combine = TRUE,   species = \"Mus_musculus\" ) #> [2023-09-01 06:07:52.557954] Start GSEA #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: KEGG version:Release 107.0+/09-01, Sep 23 nterm:351 created:2023-09-01 05:49:03.014052 #> Loading cached db: WikiPathway version:20230810 nterm:200 created:2023-09-01 05:49:10.167076 #> Loading cached db: Reactome version:1.84.0 nterm:1715 created:2023-09-01 05:49:21.179897 #> Loading cached db: PFAM version:3.17.0 nterm:6565 created:2023-09-01 05:49:41.21398 #> Loading cached db: MP version:2023-08-28 08:02 nterm:10291 created:2023-09-01 05:15:39.154756 #> Create 'Combined' database ... #> Permform GSEA... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 06:09:49.078112] GSEA done #> Elapsed time:1.94 mins GSEAPlot(pancreas_sub, db = \"Combined\", group_by = \"CellType\", plot_type = \"comparison\")   # Or use \"geneID\", \"geneScore\" and \"geneID_groups\" as input to run GSEA de_df <- dplyr::filter(pancreas_sub@tools$DEtest_CellType$AllMarkers_wilcox, p_val_adj < 0.05) gsea_out <- RunGSEA(geneID = de_df[[\"gene\"]], geneScore = de_df[[\"avg_log2FC\"]], geneID_groups = de_df[[\"group1\"]], db = \"GO_BP\", species = \"Mus_musculus\") #> [2023-09-01 06:09:49.453508] Start GSEA #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-01 05:12:05.52538 #> Permform GSEA... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 06:15:44.137675] GSEA done #> Elapsed time:5.91 mins GSEAPlot(res = gsea_out, db = \"GO_BP\", plot_type = \"comparison\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunHarmony2.html","id":null,"dir":"Reference","previous_headings":"","what":"Harmony single cell integration — RunHarmony2","title":"Harmony single cell integration — RunHarmony2","text":"Run Harmony algorithm Seurat pipelines.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunHarmony2.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Harmony single cell integration — RunHarmony2","text":"","code":"RunHarmony2(object, ...)  # S3 method for Seurat RunHarmony2(   object,   group.by.vars,   reduction = \"pca\",   dims.use = NULL,   theta = NULL,   lambda = NULL,   sigma = 0.1,   nclust = NULL,   tau = 0,   block.size = 0.05,   max.iter.harmony = 10,   max.iter.cluster = 20,   epsilon.cluster = 1e-05,   epsilon.harmony = 1e-04,   plot_convergence = FALSE,   verbose = TRUE,   reference_values = NULL,   reduction.save = \"Harmony\",   assay.use = \"RNA\",   project.dim = TRUE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunHarmony2.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Harmony single cell integration — RunHarmony2","text":"object  ...","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunKNNMap.html","id":null,"dir":"Reference","previous_headings":"","what":"Single-cell reference mapping with KNN method — RunKNNMap","title":"Single-cell reference mapping with KNN method — RunKNNMap","text":"Single-cell reference mapping KNN method","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunKNNMap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Single-cell reference mapping with KNN method — RunKNNMap","text":"","code":"RunKNNMap(   srt_query,   srt_ref,   query_assay = NULL,   ref_assay = NULL,   ref_umap = NULL,   ref_group = NULL,   features = NULL,   nfeatures = 2000,   query_reduction = NULL,   ref_reduction = NULL,   query_dims = 1:30,   ref_dims = 1:30,   projection_method = c(\"model\", \"knn\"),   nn_method = NULL,   k = 30,   distance_metric = \"cosine\",   vote_fun = \"mean\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunKNNMap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Single-cell reference mapping with KNN method — RunKNNMap","text":"ref_assay","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunKNNMap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Single-cell reference mapping with KNN method — RunKNNMap","text":"","code":"data(\"panc8_sub\") srt_ref <- panc8_sub[, panc8_sub$tech != \"fluidigmc1\"] srt_query <- panc8_sub[, panc8_sub$tech == \"fluidigmc1\"] srt_ref <- Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"Seurat\") #> [2023-09-01 06:15:49.254966] Start Seurat_integrate #> Error in Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"Seurat\"): object 'srt_ref' not found CellDimPlot(srt_ref, group.by = c(\"celltype\", \"tech\")) #> Error in DefaultReduction(srt): Unable to find any reductions.  # Projection srt_query <- RunKNNMap(srt_query = srt_query, srt_ref = srt_ref, ref_umap = \"SeuratUMAP2D\") #> Error: Cannot find 'SeuratUMAP2D' in this Seurat object ProjectionPlot(srt_query = srt_query, srt_ref = srt_ref, query_group = \"celltype\", ref_group = \"celltype\") #> Error: Cannot find 'ref.embeddings' in this Seurat object"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunKNNPredict.html","id":null,"dir":"Reference","previous_headings":"","what":"Annotate single cells using similarity. — RunKNNPredict","title":"Annotate single cells using similarity. — RunKNNPredict","text":"Annotate single cells using similarity.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunKNNPredict.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Annotate single cells using similarity. — RunKNNPredict","text":"","code":"RunKNNPredict(   srt_query,   srt_ref = NULL,   bulk_ref = NULL,   query_group = NULL,   ref_group = NULL,   query_assay = NULL,   ref_assay = NULL,   query_reduction = NULL,   ref_reduction = NULL,   query_dims = 1:30,   ref_dims = 1:30,   query_collapsing = !is.null(query_group),   ref_collapsing = TRUE,   return_full_distance_matrix = FALSE,   features = NULL,   features_type = c(\"HVF\", \"DE\"),   feature_source = \"both\",   nfeatures = 2000,   DEtest_param = list(max.cells.per.ident = 200, test.use = \"wilcox\"),   DE_threshold = \"p_val_adj < 0.05\",   nn_method = NULL,   distance_metric = \"cosine\",   k = 30,   filter_lowfreq = 0,   prefix = \"KNNPredict\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunKNNPredict.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Annotate single cells using similarity. — RunKNNPredict","text":"srt_query seurat object. bulk_ref cell atlas matrix, e.g., SCP::ref_scHCL query_assay assay used srt_query DE_threshold Threshold used filter DE features. Default \"p_val < 0.05\". using \"roc\" test, DE_threshold needs reassigned. e.g. \"power > 0.5\" k Number predictions return. prefix","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunKNNPredict.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Annotate single cells using similarity. — RunKNNPredict","text":"","code":"# Annotate cells using bulk RNA-seq data data(\"pancreas_sub\") data(\"ref_scMCA\") pancreas_sub <- Standard_SCP(pancreas_sub) #> [2023-09-01 06:15:51.515927] Start Standard_SCP #> [2023-09-01 06:15:51.516217] Checking srtList... ... #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-01 06:15:52.674928] Finished checking. #> [2023-09-01 06:15:52.675159] Perform ScaleData on the data... #> [2023-09-01 06:15:52.847306] Perform linear dimension reduction (pca) on the data... #> [2023-09-01 06:15:53.963433] Perform FindClusters (louvain) on the data... #> [2023-09-01 06:15:54.130611] Reorder clusters... #> [2023-09-01 06:15:54.414758] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-01 06:16:10.2961] Standard_SCP done #> Elapsed time: 18.78 secs  pancreas_sub <- RunKNNPredict(srt_query = pancreas_sub, bulk_ref = ref_scMCA) #> Use 535 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... CellDimPlot(pancreas_sub, group.by = \"KNNPredict_classification\", label = TRUE)   # Removal of low credible cell types from the predicted results pancreas_sub <- RunKNNPredict(srt_query = pancreas_sub, bulk_ref = ref_scMCA, filter_lowfreq = 30) #> Use 535 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... CellDimPlot(pancreas_sub, group.by = \"KNNPredict_classification\", label = TRUE)   # Annotate clusters using bulk RNA-seq data pancreas_sub <- RunKNNPredict(srt_query = pancreas_sub, query_group = \"SubCellType\", bulk_ref = ref_scMCA) #> Use 535 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... CellDimPlot(pancreas_sub, group.by = \"KNNPredict_classification\", label = TRUE)   # Annotate using single cell RNA-seq data data(\"panc8_sub\") # Simply convert genes from human to mouse and preprocess the data genenames <- make.unique(capitalize(rownames(panc8_sub), force_tolower = TRUE)) panc8_sub <- RenameFeatures(panc8_sub, newnames = genenames) #> Rename features for the assay: RNA panc8_sub <- check_srtMerge(panc8_sub, batch = \"tech\")[[\"srtMerge\"]] #> [2023-09-01 06:16:15.617582] Spliting srtMerge into srtList by column tech... ... #> [2023-09-01 06:16:16.227905] Checking srtList... ... #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/5 of the srtList... #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 2/5 of the srtList... #> Data 3/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 3/5 of the srtList... #> Data 4/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 4/5 of the srtList... #> Data 5/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 5/5 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-01 06:16:19.58385] Finished checking.  pancreas_sub <- RunKNNPredict(srt_query = pancreas_sub, srt_ref = panc8_sub, ref_group = \"celltype\") #> Use the HVF to calculate distance metric. #> Use 631 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... CellDimPlot(pancreas_sub, group.by = \"KNNPredict_classification\", label = TRUE)  FeatureDimPlot(pancreas_sub, features = \"KNNPredict_simil\")   pancreas_sub <- RunKNNPredict(   srt_query = pancreas_sub, srt_ref = panc8_sub,   ref_group = \"celltype\", ref_collapsing = FALSE ) #> Use the HVF to calculate distance metric. #> Use 631 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... CellDimPlot(pancreas_sub, group.by = \"KNNPredict_classification\", label = TRUE)  FeatureDimPlot(pancreas_sub, features = \"KNNPredict_prob\")   pancreas_sub <- RunKNNPredict(   srt_query = pancreas_sub, srt_ref = panc8_sub,   query_group = \"SubCellType\", ref_group = \"celltype\" ) #> Use the HVF to calculate distance metric. #> Use 631 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... CellDimPlot(pancreas_sub, group.by = \"KNNPredict_classification\", label = TRUE)  FeatureDimPlot(pancreas_sub, features = \"KNNPredict_simil\")   # Annotate with DE gene instead of HVF pancreas_sub <- RunKNNPredict(   srt_query = pancreas_sub, srt_ref = panc8_sub,   ref_group = \"celltype\",   features_type = \"DE\", feature_source = \"ref\" ) #> [2023-09-01 06:16:25.162524] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 13 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 06:16:36.552029] DEtest done #> Elapsed time:11.39 secs #> Use the DE features from AllMarkers_wilcox to calculate distance metric. #> DE features number of the ref data: 2000 #> Use 1865 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... CellDimPlot(pancreas_sub, group.by = \"KNNPredict_classification\", label = TRUE)  FeatureDimPlot(pancreas_sub, features = \"KNNPredict_simil\")   pancreas_sub <- RunKNNPredict(   srt_query = pancreas_sub, srt_ref = panc8_sub,   query_group = \"SubCellType\", ref_group = \"celltype\",   features_type = \"DE\", feature_source = \"both\" ) #> [2023-09-01 06:16:37.900793] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 8 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 06:16:41.27284] DEtest done #> Elapsed time:3.37 secs #> Use the DE features from AllMarkers_wilcox to calculate distance metric. #> DE features number of the query data: 956 #> [2023-09-01 06:16:41.688105] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 13 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 06:16:53.342642] DEtest done #> Elapsed time:11.65 secs #> Use the DE features from AllMarkers_wilcox to calculate distance metric. #> DE features number of the ref data: 252 #> Use 67 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... CellDimPlot(pancreas_sub, group.by = \"KNNPredict_classification\", label = TRUE)  FeatureDimPlot(pancreas_sub, features = \"KNNPredict_simil\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunLargeVis.html","id":null,"dir":"Reference","previous_headings":"","what":"Run LargeVis — RunLargeVis","title":"Run LargeVis — RunLargeVis","text":"Run LargeVis","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunLargeVis.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run LargeVis — RunLargeVis","text":"","code":"RunLargeVis(object, ...)  # S3 method for Seurat RunLargeVis(   object,   reduction = \"pca\",   dims = NULL,   features = NULL,   assay = DefaultAssay(object = object),   slot = \"data\",   perplexity = 50,   n_neighbors = perplexity * 3,   n_components = 2,   metric = \"euclidean\",   n_epochs = -1,   learning_rate = 1,   scale = \"maxabs\",   init = \"lvrandom\",   init_sdev = NULL,   repulsion_strength = 7,   negative_sample_rate = 5,   nn_method = NULL,   n_trees = 50,   search_k = 2 * n_neighbors * n_trees,   n_threads = NULL,   n_sgd_threads = 0,   grain_size = 1,   kernel = \"gauss\",   pca = NULL,   pca_center = TRUE,   pcg_rand = TRUE,   fast_sgd = FALSE,   batch = FALSE,   opt_args = NULL,   epoch_callback = NULL,   pca_method = NULL,   reduction.name = \"largevis\",   reduction.key = \"LargeVis_\",   verbose = TRUE,   seed.use = 11L,   ... )  # S3 method for default RunLargeVis(   object,   assay = NULL,   perplexity = 50,   n_neighbors = perplexity * 3,   n_components = 2,   metric = \"euclidean\",   n_epochs = -1,   learning_rate = 1,   scale = \"maxabs\",   init = \"lvrandom\",   init_sdev = NULL,   repulsion_strength = 7,   negative_sample_rate = 5,   nn_method = NULL,   n_trees = 50,   search_k = 2 * n_neighbors * n_trees,   n_threads = NULL,   n_sgd_threads = 0,   grain_size = 1,   kernel = \"gauss\",   pca = NULL,   pca_center = TRUE,   pcg_rand = TRUE,   fast_sgd = FALSE,   batch = FALSE,   opt_args = NULL,   epoch_callback = NULL,   pca_method = NULL,   reduction.key = \"LargeVis_\",   verbose = TRUE,   seed.use = 11L,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunLargeVis.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run LargeVis — RunLargeVis","text":"object  ...  n_components","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMDS.html","id":null,"dir":"Reference","previous_headings":"","what":"Run multi-dimensional scaling(MDS) — RunMDS","title":"Run multi-dimensional scaling(MDS) — RunMDS","text":"Run MDS dimensionality reduction.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMDS.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run multi-dimensional scaling(MDS) — RunMDS","text":"","code":"RunMDS(object, ...)  # S3 method for Seurat RunMDS(   object,   assay = NULL,   slot = \"data\",   features = NULL,   nmds = 50,   dist.method = \"euclidean\",   mds.method = \"cmdscale\",   rev.mds = FALSE,   ndims.print = 1:5,   nfeatures.print = 30,   reduction.name = \"mds\",   reduction.key = \"MDS_\",   verbose = TRUE,   seed.use = 42,   ... )  # S3 method for Assay RunMDS(   object,   assay = NULL,   slot = \"data\",   features = NULL,   nmds = 50,   dist.method = \"euclidean\",   mds.method = \"cmdscale\",   rev.mds = FALSE,   ndims.print = 1:5,   nfeatures.print = 30,   reduction.key = \"MDS_\",   verbose = TRUE,   seed.use = 42,   ... )  # S3 method for default RunMDS(   object,   assay = NULL,   slot = \"data\",   nmds = 50,   dist.method = \"euclidean\",   mds.method = \"cmdscale\",   rev.mds = FALSE,   ndims.print = 1:5,   nfeatures.print = 30,   reduction.key = \"MDS_\",   seed.use = 42,   verbose = TRUE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMDS.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run multi-dimensional scaling(MDS) — RunMDS","text":"object object ...  assay Name Assay mds run . slot Name slot mds run . features Features compute mds . features=NULL, mds run using variable features Assay. nmds Total Number MDS compute store (50 default). rev.mds default computes mds cell x gene matrix. Setting true compute gene x cell matrix. ndims.print MDS print genes . nfeatures.print Number genes print MDS. reduction.name dimensional reduction name, 'mds' default reduction.key dimensional reduction key, specifies string number dimension names. \"MDS_\" default. verbose Print top genes associated high/low loadings MDS. seed.use Set random seed. default, sets seed 42. Setting NULL set seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMDS.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run multi-dimensional scaling(MDS) — RunMDS","text":"Returns Seurat object MDS calculation stored reductions slot.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMonocle2.html","id":null,"dir":"Reference","previous_headings":"","what":"Run Monocle2 analysis — RunMonocle2","title":"Run Monocle2 analysis — RunMonocle2","text":"Run Monocle2 analysis","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMonocle2.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run Monocle2 analysis — RunMonocle2","text":"","code":"RunMonocle2(   srt,   annotation = NULL,   assay = NULL,   slot = \"counts\",   expressionFamily = \"negbinomial.size\",   features = NULL,   feature_type = \"HVF\",   disp_filter = \"mean_expression >= 0.1 & dispersion_empirical >= 1 * dispersion_fit\",   max_components = 2,   reduction_method = \"DDRTree\",   norm_method = \"log\",   residualModelFormulaStr = NULL,   pseudo_expr = 1,   root_state = NULL,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMonocle2.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run Monocle2 analysis — RunMonocle2","text":"seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMonocle2.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run Monocle2 analysis — RunMonocle2","text":"","code":"if (interactive()) {   data(\"pancreas_sub\")   pancreas_sub <- RunMonocle2(srt = pancreas_sub, annotation = \"CellType\")   names(pancreas_sub@tools$Monocle2)   trajectory <- pancreas_sub@tools$Monocle2$trajectory    p1 <- CellDimPlot(pancreas_sub, group.by = \"Monocle2_State\", reduction = \"DDRTree\", label = TRUE, theme_use = \"theme_blank\") + trajectory   p2 <- CellDimPlot(pancreas_sub, group.by = \"Monocle2_State\", reduction = \"UMAP\", label = TRUE, theme_use = \"theme_blank\")   p3 <- FeatureDimPlot(pancreas_sub, features = \"Monocle2_Pseudotime\", reduction = \"UMAP\", theme_use = \"theme_blank\")   print(p1 + p2 + p3)    pancreas_sub <- RunMonocle2(     srt = pancreas_sub, annotation = \"CellType\",     feature_type = \"Disp\", disp_filter = \"mean_expression >= 0.01 & dispersion_empirical >= 1 * dispersion_fit\"   )   trajectory <- pancreas_sub@tools$Monocle2$trajectory   p1 <- CellDimPlot(pancreas_sub, group.by = \"Monocle2_State\", reduction = \"DDRTree\", label = TRUE, theme_use = \"theme_blank\") + trajectory   p2 <- CellDimPlot(pancreas_sub, group.by = \"Monocle2_State\", reduction = \"UMAP\", label = TRUE, theme_use = \"theme_blank\")   p3 <- FeatureDimPlot(pancreas_sub, features = \"Monocle2_Pseudotime\", reduction = \"UMAP\", theme_use = \"theme_blank\")   print(p1 + p2 + p3) }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMonocle3.html","id":null,"dir":"Reference","previous_headings":"","what":"Run Monocle3 analysis — RunMonocle3","title":"Run Monocle3 analysis — RunMonocle3","text":"Run Monocle3 analysis","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMonocle3.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run Monocle3 analysis — RunMonocle3","text":"","code":"RunMonocle3(   srt,   annotation = NULL,   assay = NULL,   slot = \"counts\",   reduction = DefaultReduction(srt),   clusters = NULL,   graph = NULL,   partition_qval = 0.05,   k = 50,   cluster_method = \"louvain\",   num_iter = 2,   resolution = NULL,   use_partition = NULL,   close_loop = TRUE,   learn_graph_control = NULL,   root_pr_nodes = NULL,   root_cells = NULL,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMonocle3.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run Monocle3 analysis — RunMonocle3","text":"clusters","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMonocle3.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run Monocle3 analysis — RunMonocle3","text":"","code":"if (interactive()) {   data(\"pancreas_sub\")   # Use Monocle clusters to infer the trajectories   pancreas_sub <- RunMonocle3(srt = pancreas_sub, annotation = \"CellType\", reduction = \"UMAP\")   names(pancreas_sub@tools$Monocle3)   trajectory <- pancreas_sub@tools$Monocle3$trajectory   milestones <- pancreas_sub@tools$Monocle3$milestones    p1 <- CellDimPlot(pancreas_sub, group.by = \"Monocle3_partitions\", reduction = \"UMAP\", label = TRUE, theme_use = \"theme_blank\") + trajectory + milestones   p2 <- CellDimPlot(pancreas_sub, group.by = \"Monocle3_clusters\", reduction = \"UMAP\", label = TRUE, theme_use = \"theme_blank\") + trajectory   p3 <- FeatureDimPlot(pancreas_sub, features = \"Monocle3_Pseudotime\", reduction = \"UMAP\", theme_use = \"theme_blank\") + trajectory   print(p1 + p2 + p3)    # Select the lineage using monocle3::choose_graph_segments   cds <- pancreas_sub@tools$Monocle3$cds   cds_sub <- monocle3::choose_graph_segments(cds, starting_pr_node = NULL, ending_pr_nodes = NULL)   pancreas_sub$Lineages_1 <- NA   pancreas_sub$Lineages_1[colnames(cds_sub)] <- pancreas_sub$Monocle3_Pseudotime[colnames(cds_sub)]   CellDimPlot(pancreas_sub, group.by = \"SubCellType\", lineages = \"Lineages_1\", lineages_span = 0.1, theme_use = \"theme_blank\")    # Use Seurat clusters to infer the trajectories   pancreas_sub <- Standard_SCP(pancreas_sub)   CellDimPlot(pancreas_sub, group.by = c(\"Standardclusters\", \"CellType\"), label = TRUE, theme_use = \"theme_blank\")   pancreas_sub <- RunMonocle3(srt = pancreas_sub, annotation = \"CellType\", clusters = \"Standardclusters\")   trajectory <- pancreas_sub@tools$Monocle3$trajectory   p1 <- CellDimPlot(pancreas_sub, group.by = \"Monocle3_partitions\", reduction = \"StandardUMAP2D\", label = TRUE, theme_use = \"theme_blank\") + trajectory   p2 <- CellDimPlot(pancreas_sub, group.by = \"Monocle3_clusters\", reduction = \"StandardUMAP2D\", label = TRUE, theme_use = \"theme_blank\") + trajectory   p3 <- FeatureDimPlot(pancreas_sub, features = \"Monocle3_Pseudotime\", reduction = \"StandardUMAP2D\", theme_use = \"theme_blank\") + trajectory   print(p1 + p2 + p3)    # Use custom graphs and cell clusters to infer the partitions and trajectories, respectively   pancreas_sub <- Standard_SCP(pancreas_sub, cluster_resolution = 5)   CellDimPlot(pancreas_sub, group.by = c(\"Standardclusters\", \"CellType\"), label = TRUE)   pancreas_sub <- RunMonocle3(     srt = pancreas_sub, annotation = \"CellType\",     clusters = \"Standardclusters\", graph = \"Standardpca_SNN\"   )   trajectory <- pancreas_sub@tools$Monocle3$trajectory   p1 <- CellDimPlot(pancreas_sub, group.by = \"Monocle3_partitions\", reduction = \"StandardUMAP2D\", label = TRUE, theme_use = \"theme_blank\") + trajectory   p2 <- CellDimPlot(pancreas_sub, group.by = \"Monocle3_clusters\", reduction = \"StandardUMAP2D\", label = TRUE, theme_use = \"theme_blank\") + trajectory   p3 <- FeatureDimPlot(pancreas_sub, features = \"Monocle3_Pseudotime\", reduction = \"StandardUMAP2D\", theme_use = \"theme_blank\") + trajectory   print(p1 + p2 + p3) }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunNMF.html","id":null,"dir":"Reference","previous_headings":"","what":"Run Non-negative matrix factorization(NMF) — RunNMF","title":"Run Non-negative matrix factorization(NMF) — RunNMF","text":"Run NMF dimensionality reduction.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunNMF.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run Non-negative matrix factorization(NMF) — RunNMF","text":"","code":"RunNMF(object, ...)  # S3 method for Seurat RunNMF(   object,   assay = NULL,   slot = \"data\",   features = NULL,   nbes = 50,   nmf.method = \"RcppML\",   tol = 1e-05,   maxit = 100,   rev.nmf = FALSE,   ndims.print = 1:5,   nfeatures.print = 30,   reduction.name = \"nmf\",   reduction.key = \"BE_\",   verbose = TRUE,   seed.use = 42,   ... )  # S3 method for Assay RunNMF(   object,   assay = NULL,   slot = \"data\",   features = NULL,   nbes = 50,   nmf.method = \"RcppML\",   tol = 1e-05,   maxit = 100,   rev.nmf = FALSE,   ndims.print = 1:5,   nfeatures.print = 30,   reduction.key = \"BE_\",   verbose = TRUE,   seed.use = 42,   ... )  # S3 method for default RunNMF(   object,   assay = NULL,   slot = \"data\",   nbes = 50,   nmf.method = \"RcppML\",   tol = 1e-05,   maxit = 100,   rev.nmf = FALSE,   ndims.print = 1:5,   nfeatures.print = 30,   reduction.key = \"BE_\",   verbose = TRUE,   seed.use = 42,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunNMF.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run Non-negative matrix factorization(NMF) — RunNMF","text":"object object ...  assay Name Assay nmf run . slot Name slot nmf run . features Features compute nmf . features=NULL, nmf run using variable features Assay. nbes Total Number BEs(\"basis experiment\", aka \"metagene\") compute store (50 default). rev.nmf default computes nmf cell x gene matrix. Setting true compute gene x cell matrix. ndims.print BEs print genes . nfeatures.print Number genes print . reduction.name dimensional reduction name, 'nmf' default reduction.key dimensional reduction key, specifies string number dimension names. \"BE_\" default. verbose Print top genes associated high/low loadings BEs. seed.use Set random seed. default, sets seed 42. Setting NULL set seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunNMF.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run Non-negative matrix factorization(NMF) — RunNMF","text":"Returns Seurat object NMF calculation stored reductions slot.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPAGA.html","id":null,"dir":"Reference","previous_headings":"","what":"Run PAGA analysis — RunPAGA","title":"Run PAGA analysis — RunPAGA","text":"Run PAGA analysis","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPAGA.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run PAGA analysis — RunPAGA","text":"","code":"RunPAGA(   srt = NULL,   assay_X = \"RNA\",   slot_X = \"counts\",   assay_layers = c(\"spliced\", \"unspliced\"),   slot_layers = \"counts\",   adata = NULL,   group_by = NULL,   palette = \"Paired\",   palcolor = NULL,   linear_reduction = NULL,   nonlinear_reduction = NULL,   basis = NULL,   n_pcs = 30,   n_neighbors = 30,   use_rna_velocity = FALSE,   vkey = \"stochastic\",   embedded_with_PAGA = FALSE,   paga_layout = \"fr\",   threshold = 0.1,   point_size = 20,   infer_pseudotime = FALSE,   root_group = NULL,   root_cell = NULL,   n_dcs = 10,   n_branchings = 0,   min_group_size = 0.01,   show_plot = TRUE,   dpi = 300,   save = FALSE,   dirpath = \"./\",   fileprefix = \"\",   return_seurat = !is.null(srt) )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPAGA.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run PAGA analysis — RunPAGA","text":"srt Seurat object. adata anndata object. Can created srt_to_adata group_by group_by. linear_reduction linear_reduction. nonlinear_reduction nonlinear_reduction. basis basis. n_pcs n_pcs. n_neighbors n_neighbors. use_rna_velocity use_rna_velocity. vkey Key velocity. Default \"stochastic\". paga_layout Plotting layout computes positions. See See layout param scanpy.pl.paga function. threshold edge threshold. point_size point_size. dpi dpi. save save. dirpath dirpath. fileprefix fileprefix. return_seurat","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPAGA.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run PAGA analysis — RunPAGA","text":"anndata object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPAGA.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run PAGA analysis — RunPAGA","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunPAGA(srt = pancreas_sub, assay_X = \"RNA\", group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\") #> 'misc' slot is not converted. #> 'tools' slot is not converted. CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"draw_graph_fr\")  PAGAPlot(pancreas_sub, reduction = \"UMAP\")  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", paga = pancreas_sub@misc$paga)   pancreas_sub <- RunPAGA(   srt = pancreas_sub, group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\",   embedded_with_PAGA = TRUE, infer_pseudotime = TRUE, root_group = \"Ductal\" ) #> 'misc' slot is not converted. #> 'tools' slot is not converted. head(pancreas_sub[[]]) #>                     orig.ident nCount_RNA nFeature_RNA     S_score   G2M_score nCount_spliced nFeature_spliced #> CAGCCGAAGCGATATA SeuratProject      10653         3295  0.33188155  0.54532743          10653             3295 #> AGTGTCATCGCCGTGA SeuratProject       4596         2053 -0.07156909 -0.08865353           4596             2053 #> GATGAAAAGTTGTAGA SeuratProject      14091         3864  0.08940628  0.77610326          14091             3864 #> CACAGTACATCCGTGG SeuratProject       5484         2510 -0.25927997 -0.25941831           5484             2510 #> CGGAGCTCATTGGGCC SeuratProject       7357         2674 -0.11764368  0.46237856           7357             2674 #> AGAGCTTGTGTGACCC SeuratProject       6498         2516 -0.11406432 -0.17830831           6498             2516 #>                  nCount_unspliced nFeature_unspliced      CellType   SubCellType Phase dpt_pseudotime #> CAGCCGAAGCGATATA             1587               1063        Ductal        Ductal   G2M     0.08858810 #> AGTGTCATCGCCGTGA             1199                803 Pre-endocrine Pre-endocrine    G1     0.61145532 #> GATGAAAAGTTGTAGA             2166               1379   Ngn3 low EP   Ngn3 low EP   G2M     0.10923140 #> CACAGTACATCCGTGG             1339                859     Endocrine          Beta    G1     0.86335427 #> CGGAGCTCATTGGGCC              976                745        Ductal        Ductal   G2M     0.03584586 #> AGAGCTTGTGTGACCC              822                591        Ductal        Ductal    G1     0.03778159 names(pancreas_sub@reductions) #> [1] \"PCA\"           \"UMAP\"          \"draw_graph_fr\" \"PAGAUMAP2D\"    \"diffmap\"       FeatureDimPlot(pancreas_sub, features = \"dpt_pseudotime\", reduction = \"PAGAUMAP2D\")  PAGAPlot(pancreas_sub, reduction = \"PAGAUMAP2D\")  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"PAGAUMAP2D\", paga = pancreas_sub@misc$paga)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPCAMap.html","id":null,"dir":"Reference","previous_headings":"","what":"Single-cell reference mapping with PCA method — RunPCAMap","title":"Single-cell reference mapping with PCA method — RunPCAMap","text":"Single-cell reference mapping PCA method","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPCAMap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Single-cell reference mapping with PCA method — RunPCAMap","text":"","code":"RunPCAMap(   srt_query,   srt_ref,   query_assay = NULL,   ref_assay = srt_ref[[ref_pca]]@assay.used,   ref_pca = NULL,   ref_dims = 1:30,   ref_umap = NULL,   ref_group = NULL,   projection_method = c(\"model\", \"knn\"),   nn_method = NULL,   k = 30,   distance_metric = \"cosine\",   vote_fun = \"mean\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPCAMap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Single-cell reference mapping with PCA method — RunPCAMap","text":"ref_assay","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPCAMap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Single-cell reference mapping with PCA method — RunPCAMap","text":"","code":"data(\"panc8_sub\") srt_ref <- panc8_sub[, panc8_sub$tech != \"fluidigmc1\"] srt_query <- panc8_sub[, panc8_sub$tech == \"fluidigmc1\"] srt_ref <- Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"Seurat\") #> [2023-09-01 06:18:05.529985] Start Seurat_integrate #> Error in Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"Seurat\"): object 'srt_ref' not found CellDimPlot(srt_ref, group.by = c(\"celltype\", \"tech\")) #> Error in DefaultReduction(srt): Unable to find any reductions.  # Projection srt_query <- RunPCAMap(srt_query = srt_query, srt_ref = srt_ref, ref_pca = \"Seuratpca\", ref_umap = \"SeuratUMAP2D\") #> Error: Cannot find 'Seuratpca' in this Seurat object ProjectionPlot(srt_query = srt_query, srt_ref = srt_ref, query_group = \"celltype\", ref_group = \"celltype\") #> Error: Cannot find 'ref.embeddings' in this Seurat object"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPHATE.html","id":null,"dir":"Reference","previous_headings":"","what":"Run PHATE — RunPHATE","title":"Run PHATE — RunPHATE","text":"Run PHATE","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPHATE.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run PHATE — RunPHATE","text":"","code":"RunPHATE(object, ...)  # S3 method for Seurat RunPHATE(   object,   reduction = \"pca\",   dims = NULL,   features = NULL,   assay = DefaultAssay(object = object),   slot = \"data\",   n_components = 2,   knn = 5,   decay = 40,   n_landmark = 2000,   t = \"auto\",   gamma = 1,   n_pca = 100,   knn_dist = \"euclidean\",   knn_max = NULL,   n_jobs = 1,   mds = \"metric\",   mds_dist = \"euclidean\",   mds_solver = \"sgd\",   t_max = 100,   do_cluster = FALSE,   n_clusters = \"auto\",   max_clusters = 100,   reduction.name = \"phate\",   reduction.key = \"PHATE_\",   verbose = TRUE,   seed.use = 11L,   ... )  # S3 method for default RunPHATE(   object,   assay = NULL,   n_components = 2,   knn = 5,   decay = 40,   n_landmark = 2000,   t = \"auto\",   gamma = 1,   n_pca = 100,   knn_dist = \"euclidean\",   knn_max = NULL,   n_jobs = 1,   mds = \"metric\",   mds_dist = \"euclidean\",   mds_solver = \"sgd\",   t_max = 100,   do_cluster = FALSE,   n_clusters = \"auto\",   max_clusters = 100,   reduction.key = \"PHATE_\",   verbose = TRUE,   seed.use = 11L,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPHATE.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run PHATE — RunPHATE","text":"object  ...  max_clusters","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPaCMAP.html","id":null,"dir":"Reference","previous_headings":"","what":"Run PaCMAP — RunPaCMAP","title":"Run PaCMAP — RunPaCMAP","text":"Run PaCMAP","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPaCMAP.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run PaCMAP — RunPaCMAP","text":"","code":"RunPaCMAP(object, ...)  # S3 method for Seurat RunPaCMAP(   object,   reduction = \"pca\",   dims = NULL,   features = NULL,   assay = DefaultAssay(object = object),   slot = \"data\",   n_components = 2,   n.neighbors = NULL,   MN_ratio = 0.5,   FP_ratio = 2,   pair_neighbors = NULL,   pair_MN = NULL,   pair_FP = NULL,   distance_method = \"euclidean\",   lr = 1,   num_iters = 450L,   apply_pca = TRUE,   init = \"random\",   reduction.name = \"pacmap\",   reduction.key = \"PaCMAP_\",   verbose = TRUE,   seed.use = 11L,   ... )  # S3 method for default RunPaCMAP(   object,   assay = NULL,   n_components = 2,   n.neighbors = NULL,   MN_ratio = 0.5,   FP_ratio = 2,   pair_neighbors = NULL,   pair_MN = NULL,   pair_FP = NULL,   distance_method = \"euclidean\",   lr = 1,   num_iters = 450L,   apply_pca = TRUE,   init = \"random\",   reduction.key = \"PaCMAP_\",   verbose = TRUE,   seed.use = 11L,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPaCMAP.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run PaCMAP — RunPaCMAP","text":"object  ...  assay  n_components","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPalantir.html","id":null,"dir":"Reference","previous_headings":"","what":"Run Palantir analysis — RunPalantir","title":"Run Palantir analysis — RunPalantir","text":"Run Palantir analysis","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPalantir.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run Palantir analysis — RunPalantir","text":"","code":"RunPalantir(   srt = NULL,   assay_X = \"RNA\",   slot_X = \"counts\",   assay_layers = c(\"spliced\", \"unspliced\"),   slot_layers = \"counts\",   adata = NULL,   group_by = NULL,   palette = \"Paired\",   palcolor = NULL,   linear_reduction = NULL,   nonlinear_reduction = NULL,   basis = NULL,   n_pcs = 30,   n_neighbors = 30,   dm_n_components = 10,   dm_alpha = 0,   dm_n_eigs = NULL,   early_group = NULL,   terminal_groups = NULL,   early_cell = NULL,   terminal_cells = NULL,   num_waypoints = 1200,   scale_components = TRUE,   use_early_cell_as_start = TRUE,   adjust_early_cell = FALSE,   adjust_terminal_cells = FALSE,   max_iterations = 25,   n_jobs = 8,   point_size = 20,   show_plot = TRUE,   dpi = 300,   save = FALSE,   dirpath = \"./\",   fileprefix = \"\",   return_seurat = !is.null(srt) )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPalantir.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run Palantir analysis — RunPalantir","text":"srt Seurat object. adata anndata object. Can created srt_to_adata group_by group_by. linear_reduction linear_reduction. nonlinear_reduction nonlinear_reduction. basis basis. n_pcs n_pcs. n_neighbors n_neighbors. n_jobs n_jobs. point_size point_size. dpi dpi. save save. dirpath dirpath. fileprefix fileprefix. return_seurat","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPalantir.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run Palantir analysis — RunPalantir","text":"anndata object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPalantir.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run Palantir analysis — RunPalantir","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunPalantir(   srt = pancreas_sub, group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\",   early_group = \"Ductal\", use_early_cell_as_start = TRUE,   terminal_groups = c(\"Alpha\", \"Beta\", \"Delta\", \"Epsilon\") ) #> 'misc' slot is not converted. #> 'tools' slot is not converted. head(pancreas_sub[[]]) #>                     orig.ident nCount_RNA nFeature_RNA     S_score   G2M_score nCount_spliced nFeature_spliced #> CAGCCGAAGCGATATA SeuratProject      10653         3295  0.33188155  0.54532743          10653             3295 #> AGTGTCATCGCCGTGA SeuratProject       4596         2053 -0.07156909 -0.08865353           4596             2053 #> GATGAAAAGTTGTAGA SeuratProject      14091         3864  0.08940628  0.77610326          14091             3864 #> CACAGTACATCCGTGG SeuratProject       5484         2510 -0.25927997 -0.25941831           5484             2510 #> CGGAGCTCATTGGGCC SeuratProject       7357         2674 -0.11764368  0.46237856           7357             2674 #> AGAGCTTGTGTGACCC SeuratProject       6498         2516 -0.11406432 -0.17830831           6498             2516 #>                  nCount_unspliced nFeature_unspliced      CellType   SubCellType Phase palantir_pseudotime #> CAGCCGAAGCGATATA             1587               1063        Ductal        Ductal   G2M          0.25910808 #> AGTGTCATCGCCGTGA             1199                803 Pre-endocrine Pre-endocrine    G1          0.49968980 #> GATGAAAAGTTGTAGA             2166               1379   Ngn3 low EP   Ngn3 low EP   G2M          0.29036675 #> CACAGTACATCCGTGG             1339                859     Endocrine          Beta    G1          0.69014101 #> CGGAGCTCATTGGGCC              976                745        Ductal        Ductal   G2M          0.11107706 #> AGAGCTTGTGTGACCC              822                591        Ductal        Ductal    G1          0.03843483 #>                  palantir_diff_potential Delta_diff_potential Epsilon_diff_potential Alpha_diff_potential #> CAGCCGAAGCGATATA               1.1828661            0.3363345             0.09180837           0.10830487 #> AGTGTCATCGCCGTGA               1.1772545            0.3362934             0.08943487           0.10713285 #> GATGAAAAGTTGTAGA               1.1828661            0.3363345             0.09180837           0.10830487 #> CACAGTACATCCGTGG               0.9354271            0.2798339             0.02801623           0.06885154 #> CGGAGCTCATTGGGCC               1.1828661            0.3363345             0.09180837           0.10830487 #> AGAGCTTGTGTGACCC               1.1828661            0.3363345             0.09180837           0.10830487 #>                  Beta_diff_potential #> CAGCCGAAGCGATATA           0.4635523 #> AGTGTCATCGCCGTGA           0.4671389 #> GATGAAAAGTTGTAGA           0.4635523 #> CACAGTACATCCGTGG           0.6232984 #> CGGAGCTCATTGGGCC           0.4635523 #> AGAGCTTGTGTGACCC           0.4635523 FeatureDimPlot(pancreas_sub, c(\"palantir_pseudotime\", \"palantir_diff_potential\"))  FeatureDimPlot(pancreas_sub, paste0(c(\"Alpha\", \"Beta\", \"Delta\", \"Epsilon\"), \"_diff_potential\"))"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSCExplorer.html","id":null,"dir":"Reference","previous_headings":"","what":"RunSCExplorer — RunSCExplorer","title":"RunSCExplorer — RunSCExplorer","text":"RunSCExplorer","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSCExplorer.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"RunSCExplorer — RunSCExplorer","text":"","code":"RunSCExplorer(   base_dir = \"SCExplorer\",   DataFile = \"Data.hdf5\",   MetaFile = \"Meta.hdf5\",   title = \"SCExplorer\",   initial_dataset = NULL,   initial_reduction = NULL,   initial_group = NULL,   initial_feature = NULL,   initial_assay = NULL,   initial_slot = NULL,   initial_label = \"No\",   initial_cell_palette = \"Paired\",   initial_feature_palette = \"Spectral\",   initial_theme = \"theme_scp\",   initial_size = 4,   initial_ncol = 3,   initial_arrange = \"Row\",   initial_dpi = 100,   workers = 2,   threads_per_workers = 10,   create_script = TRUE,   style_script = require(\"styler\", quietly = TRUE),   overwrite = FALSE,   return_app = TRUE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSCExplorer.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"RunSCExplorer — RunSCExplorer","text":"workers","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSCExplorer.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"RunSCExplorer — RunSCExplorer","text":"","code":"if (FALSE) { data(\"pancreas_sub\") pancreas_sub <- Standard_SCP(pancreas_sub) data(\"panc8_sub\") panc8_sub <- Integration_SCP(srtMerge = panc8_sub, batch = \"tech\", integration_method = \"Seurat\")  PrepareSCExplorer(list(mouse_pancreas = pancreas_sub, human_pancreas = panc8_sub), base_dir = \"./SCExplorer\", overwrite = TRUE)  # Create the app.R script app <- RunSCExplorer(base_dir = \"./SCExplorer\", workers = 2, overwrite = TRUE) list.files(\"./SCExplorer\") # This directory can be used as site directory for Shiny Server.  # Run shiny app if (interactive()) {   shiny::runApp(app) } # Note: If SCP installed in the isolated environment using renv, you need to add `renv::activate(project = \"path/to/SCP_env\")` to the app.R script.  #################################################################################################################### # You can deploy the app on the self-hosted shiny server(https://www.rstudio.com/products/shiny/shiny-server/). # Or deploy the app on the website(https://www.shinyapps.io) for free:  ### step1: set the repository URL for Bioconductor packages and update them to the latest version # options(repos = BiocManager::repositories()) # BiocManager::install(ask = FALSE)  ### step2: install \"rsconnect\" package and authorize your account # install.packages(\"rsconnect\") # library(rsconnect) # setAccountInfo(name = \"\", token = \"\", secret = \"\")  ### step3: deploy the app # deployApp(\"./SCExplorer\") }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSCVELO.html","id":null,"dir":"Reference","previous_headings":"","what":"Run scVelo analysis — RunSCVELO","title":"Run scVelo analysis — RunSCVELO","text":"scVelo scalable toolkit RNA velocity analysis single cells. function performs scVelo workflow R reticulate.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSCVELO.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run scVelo analysis — RunSCVELO","text":"","code":"RunSCVELO(   srt = NULL,   assay_X = \"RNA\",   slot_X = \"counts\",   assay_layers = c(\"spliced\", \"unspliced\"),   slot_layers = \"counts\",   adata = NULL,   group_by = NULL,   palette = \"Paired\",   palcolor = NULL,   linear_reduction = NULL,   nonlinear_reduction = NULL,   basis = NULL,   mode = \"stochastic\",   fitting_by = \"stochastic\",   magic_impute = FALSE,   knn = 5,   t = 2,   min_shared_counts = 30,   n_pcs = 30,   n_neighbors = 30,   approx = TRUE,   stream_smooth = NULL,   stream_density = 2,   arrow_length = 5,   arrow_size = 5,   arrow_density = 0.5,   denoise = FALSE,   denoise_topn = 3,   kinetics = FALSE,   kinetics_topn = 100,   calculate_velocity_genes = FALSE,   top_n = 6,   n_jobs = 1,   show_plot = TRUE,   dpi = 300,   save = FALSE,   dirpath = \"./\",   fileprefix = \"\",   return_seurat = !is.null(srt) )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSCVELO.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run scVelo analysis — RunSCVELO","text":"srt Seurat object. adata anndata object. Can created srt_to_adata group_by group_by. linear_reduction linear_reduction. nonlinear_reduction nonlinear_reduction. basis basis. mode mode. fitting_by fitting_by. min_shared_counts min_shared_counts. n_pcs n_pcs. n_neighbors n_neighbors. approx approx. stream_smooth stream_smooth. stream_density stream_density. arrow_length arrow_length. arrow_size arrow_size. arrow_density arrow_density. calculate_velocity_genes calculate_velocity_genes. n_jobs n_jobs. dpi dpi. save save. dirpath dirpath. fileprefix fileprefix. return_seurat  h5ad h5ad file path.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSCVELO.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run scVelo analysis — RunSCVELO","text":"anndata object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSCVELO.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run scVelo analysis — RunSCVELO","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunSCVELO(srt = pancreas_sub, assay_X = \"RNA\", group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\") #> 'misc' slot is not converted. #> 'tools' slot is not converted. #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from variance_stochastic_ to variancestochastic_ #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from variance_velocity_ to variancevelocity_ head(pancreas_sub[[]]) #>                     orig.ident nCount_RNA nFeature_RNA     S_score   G2M_score nCount_spliced nFeature_spliced #> CAGCCGAAGCGATATA SeuratProject      10653         3295  0.33188155  0.54532743          10653             3295 #> AGTGTCATCGCCGTGA SeuratProject       4596         2053 -0.07156909 -0.08865353           4596             2053 #> GATGAAAAGTTGTAGA SeuratProject      14091         3864  0.08940628  0.77610326          14091             3864 #> CACAGTACATCCGTGG SeuratProject       5484         2510 -0.25927997 -0.25941831           5484             2510 #> CGGAGCTCATTGGGCC SeuratProject       7357         2674 -0.11764368  0.46237856           7357             2674 #> AGAGCTTGTGTGACCC SeuratProject       6498         2516 -0.11406432 -0.17830831           6498             2516 #>                  nCount_unspliced nFeature_unspliced      CellType   SubCellType Phase initial_size_unspliced #> CAGCCGAAGCGATATA             1587               1063        Ductal        Ductal   G2M                   1587 #> AGTGTCATCGCCGTGA             1199                803 Pre-endocrine Pre-endocrine    G1                   1199 #> GATGAAAAGTTGTAGA             2166               1379   Ngn3 low EP   Ngn3 low EP   G2M                   2166 #> CACAGTACATCCGTGG             1339                859     Endocrine          Beta    G1                   1339 #> CGGAGCTCATTGGGCC              976                745        Ductal        Ductal   G2M                    976 #> AGAGCTTGTGTGACCC              822                591        Ductal        Ductal    G1                    822 #>                  initial_size_spliced initial_size n_counts root_cells   end_points stochastic_self_transition #> CAGCCGAAGCGATATA                10653        10653 4571.989          0 1.452156e-03                  0.4485805 #> AGTGTCATCGCCGTGA                 4596         4596 4538.002          0 4.700293e-05                  0.3937627 #> GATGAAAAGTTGTAGA                14091        14091 4556.545          0 3.551841e-03                  0.7711352 #> CACAGTACATCCGTGG                 5484         5484 4488.308          0 1.154690e-03                  0.2689254 #> CGGAGCTCATTGGGCC                 7357         7357 4579.191          0 3.440304e-04                  0.2470511 #> AGAGCTTGTGTGACCC                 6498         6498 4593.732          0 1.423519e-04                  0.4078819 #>                  stochastic_length stochastic_confidence stochastic_confidence_transition stochastic_root_cells #> CAGCCGAAGCGATATA              4.17             0.8269730                       0.06003009                     0 #> AGTGTCATCGCCGTGA             18.09             0.9360172                       0.13206813                     0 #> GATGAAAAGTTGTAGA              4.66             0.8642706                       0.04803392                     0 #> CACAGTACATCCGTGG              6.85             0.7111084                       0.35759005                     0 #> CGGAGCTCATTGGGCC              7.28             0.7939473                       0.19816431                     0 #> AGAGCTTGTGTGACCC              6.88             0.8454575                       0.11833344                     0 #>                  stochastic_end_points stochastic_pseudotime nCount_Ms nFeature_Ms nCount_Mu nFeature_Mu #> CAGCCGAAGCGATATA          1.452156e-03             0.2102930  4585.044        3685  892.5218        3535 #> AGTGTCATCGCCGTGA          4.700293e-05             0.7906109  4675.374        3549  961.4076        3239 #> GATGAAAAGTTGTAGA          3.551841e-03             0.1551773  4567.841        3666  899.8371        3414 #> CACAGTACATCCGTGG          1.154690e-03             0.8539678  4538.791        3743  934.1198        3572 #> CGGAGCTCATTGGGCC          3.440304e-04             0.2245581  4573.531        3585  882.0175        3157 #> AGAGCTTGTGTGACCC          1.423519e-04             0.2058769  4626.373        3669  899.8281        3394 #>                  nCount_stochastic nFeature_stochastic nCount_variance_stochastic nFeature_variance_stochastic #> CAGCCGAAGCGATATA         147.76477                1862                  118.07200                          425 #> AGTGTCATCGCCGTGA          70.10995                1542                  -27.08941                          209 #> GATGAAAAGTTGTAGA         140.92148                1752                  136.57796                          425 #> CACAGTACATCCGTGG         -35.27201                1435                  -61.89321                          243 #> CGGAGCTCATTGGGCC         185.67488                1857                   71.58423                          275 #> AGAGCTTGTGTGACCC         132.88978                1673                   31.84623                          266 #>                  nCount_velocity nFeature_velocity nCount_variance_velocity nFeature_variance_velocity #> CAGCCGAAGCGATATA       147.76477              1862                118.07200                        425 #> AGTGTCATCGCCGTGA        70.10995              1542                -27.08941                        209 #> GATGAAAAGTTGTAGA       140.92148              1752                136.57796                        425 #> CACAGTACATCCGTGG       -35.27201              1435                -61.89321                        243 #> CGGAGCTCATTGGGCC       185.67488              1857                 71.58423                        275 #> AGAGCTTGTGTGACCC       132.88978              1673                 31.84623                        266 names(pancreas_sub@assays) #> [1] \"RNA\"                 \"spliced\"             \"unspliced\"           \"Ms\"                  \"Mu\"                  #> [6] \"stochastic\"          \"variance_stochastic\" \"velocity\"            \"variance_velocity\"    FeatureDimPlot(pancreas_sub, c(\"stochastic_length\", \"stochastic_confidence\"))  FeatureDimPlot(pancreas_sub, \"stochastic_pseudotime\")  VelocityPlot(pancreas_sub, reduction = \"UMAP\", plot_type = \"stream\")  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", pt.size = NA, velocity = \"stochastic\") #> Warning: Removed 1000 rows containing missing values (`geom_point()`). #> Warning: Removed 1000 rows containing missing values (`geom_point()`). #> Warning: Removed 3 rows containing missing values (`geom_segment()`).   pancreas_sub <- Standard_SCP(pancreas_sub, normalization_method = \"SCT\", nonlinear_reduction = \"tsne\") #> [2023-09-01 06:19:44.411433] Start Standard_SCP #> [2023-09-01 06:19:44.41202] Checking srtList... ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Perform SCTransform on the data 1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-01 06:19:59.688846] Finished checking. #> [2023-09-01 06:19:59.689076] Perform linear dimension reduction (pca) on the data... #> [2023-09-01 06:20:00.741204] Perform FindClusters (louvain) on the data... #> [2023-09-01 06:20:00.992314] Reorder clusters... #> [2023-09-01 06:20:01.334325] Perform nonlinear dimension reduction (tsne) on the data... #> Non-linear dimensionality reduction(tsne) using Reduction(Standardpca, dims:1-11) as input #> Non-linear dimensionality reduction(tsne) using Reduction(Standardpca, dims:1-11) as input #> [2023-09-01 06:20:12.709804] Standard_SCP done #> Elapsed time: 28.3 secs  pancreas_sub <- RunSCVELO(srt = pancreas_sub, assay_X = \"SCT\", group_by = \"SubCellType\", linear_reduction = \"Standardpca\", nonlinear_reduction = \"StandardTSNE2D\") #> Assay 'RNA' is in the srt object but not converted. #> Assay 'Ms' is in the srt object but not converted. #> Assay 'Mu' is in the srt object but not converted. #> Assay 'stochastic' is in the srt object but not converted. #> Assay 'variance_stochastic' is in the srt object but not converted. #> Assay 'velocity' is in the srt object but not converted. #> Assay 'variance_velocity' is in the srt object but not converted. #> 'misc' slot is not converted. #> 'tools' slot is not converted. #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from variance_stochastic_ to variancestochastic_ #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from variance_velocity_ to variancevelocity_"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunScmap.html","id":null,"dir":"Reference","previous_headings":"","what":"Annotate single cells using scmap. — RunScmap","title":"Annotate single cells using scmap. — RunScmap","text":"Annotate single cells using scmap.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunScmap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Annotate single cells using scmap. — RunScmap","text":"","code":"RunScmap(   srt_query,   srt_ref,   ref_group = NULL,   method = \"scmapCluster\",   n_features = 500,   threshold = 0.5,   k = 10,   query_assay = \"RNA\",   ref_assay = \"RNA\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunScmap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Annotate single cells using scmap. — RunScmap","text":"force","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunScmap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Annotate single cells using scmap. — RunScmap","text":"","code":"data(\"panc8_sub\") # Simply convert genes from human to mouse and preprocess the data genenames <- make.unique(capitalize(rownames(panc8_sub), force_tolower = TRUE)) panc8_sub <- RenameFeatures(panc8_sub, newnames = genenames) #> Rename features for the assay: RNA panc8_sub <- check_srtMerge(panc8_sub, batch = \"tech\")[[\"srtMerge\"]] #> [2023-09-01 06:20:50.264089] Spliting srtMerge into srtList by column tech... ... #> [2023-09-01 06:20:51.098092] Checking srtList... ... #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/5 of the srtList... #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 2/5 of the srtList... #> Data 3/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 3/5 of the srtList... #> Data 4/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 4/5 of the srtList... #> Data 5/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 5/5 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-01 06:20:57.683768] Finished checking.  # Annotation data(\"pancreas_sub\") pancreas_sub <- Standard_SCP(pancreas_sub) #> [2023-09-01 06:21:00.393223] Start Standard_SCP #> [2023-09-01 06:21:00.393472] Checking srtList... ... #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-01 06:21:01.522702] Finished checking. #> [2023-09-01 06:21:01.522979] Perform ScaleData on the data... #> [2023-09-01 06:21:01.710423] Perform linear dimension reduction (pca) on the data... #> [2023-09-01 06:21:02.800743] Perform FindClusters (louvain) on the data... #> [2023-09-01 06:21:02.94] Reorder clusters... #> [2023-09-01 06:21:03.222247] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-01 06:21:18.042687] Standard_SCP done #> Elapsed time: 17.65 secs  pancreas_sub <- RunScmap(   srt_query = pancreas_sub, srt_ref = panc8_sub,   ref_group = \"celltype\", method = \"scmapCluster\" ) #> Detected srt_query data type: log_normalized_counts #> Detected srt_ref data type: log_normalized_counts #> Perform selectFeatures on the data... #> Perform indexCluster on the data... #> Perform scmapCluster on the data... #> Warning: Features Adcyap1, Cfc1, Col6a2, Col6a3, Crp, Ctrc, Gsta1, Lcn2, Loxl4, Mafa, Mt-atp6, Mt-co1, Mt-co2, Mt-co3, Mt-nd1, Mt-nd2, Mt-nd4, Mt-nd4l, Mt-nd5, Muc13, Serpina5, Tacstd2 are not present in the 'SCESet' object and therefore were not set. CellDimPlot(pancreas_sub, group.by = \"scmap_annotation\")   pancreas_sub <- RunScmap(   srt_query = pancreas_sub, srt_ref = panc8_sub,   ref_group = \"celltype\", method = \"scmapCell\" ) #> Detected srt_query data type: log_normalized_counts #> Detected srt_ref data type: log_normalized_counts #> Perform selectFeatures on the data... #> Perform indexCell on the data... #> Perform scmapCell on the data... #> Perform scmapCell2Cluster on the data... CellDimPlot(pancreas_sub, group.by = \"scmap_annotation\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSeuratMap.html","id":null,"dir":"Reference","previous_headings":"","what":"Single-cell reference mapping with Seurat method — RunSeuratMap","title":"Single-cell reference mapping with Seurat method — RunSeuratMap","text":"Single-cell reference mapping Seurat method","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSeuratMap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Single-cell reference mapping with Seurat method — RunSeuratMap","text":"","code":"RunSeuratMap(   srt_query,   srt_ref,   query_assay = NULL,   ref_assay = srt_ref[[ref_pca]]@assay.used,   ref_pca = NULL,   ref_dims = 1:30,   ref_umap = NULL,   ref_group = NULL,   normalization.method = \"LogNormalize\",   reduction_project_method = \"pcaproject\",   k.anchor = 5,   k.filter = 200,   k.score = 30,   k.weight = 100,   projection_method = c(\"model\", \"knn\"),   nn_method = NULL,   k = 30,   distance_metric = \"cosine\",   vote_fun = \"mean\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSeuratMap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Single-cell reference mapping with Seurat method — RunSeuratMap","text":"ref_assay","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSeuratMap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Single-cell reference mapping with Seurat method — RunSeuratMap","text":"","code":"data(\"panc8_sub\") srt_ref <- panc8_sub[, panc8_sub$tech != \"fluidigmc1\"] srt_query <- panc8_sub[, panc8_sub$tech == \"fluidigmc1\"] srt_ref <- Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"Seurat\") #> [2023-09-01 06:21:29.204125] Start Seurat_integrate #> Error in Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"Seurat\"): object 'srt_ref' not found CellDimPlot(srt_ref, group.by = c(\"celltype\", \"tech\")) #> Error in DefaultReduction(srt): Unable to find any reductions.  # Projection srt_query <- RunSeuratMap(srt_query = srt_query, srt_ref = srt_ref, ref_pca = \"Seuratpca\", ref_umap = \"SeuratUMAP2D\", k.weight = 50) #> Error: Cannot find 'Seuratpca' in this Seurat object ProjectionPlot(srt_query = srt_query, srt_ref = srt_ref, query_group = \"celltype\", ref_group = \"celltype\") #> Error: Cannot find 'ref.embeddings' in this Seurat object"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSingleR.html","id":null,"dir":"Reference","previous_headings":"","what":"Annotate single cells using scmap. — RunSingleR","title":"Annotate single cells using scmap. — RunSingleR","text":"Annotate single cells using scmap.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSingleR.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Annotate single cells using scmap. — RunSingleR","text":"","code":"RunSingleR(   srt_query,   srt_ref,   query_group = NULL,   ref_group = NULL,   genes = \"de\",   de.method = \"wilcox\",   sd.thresh = 1,   de.n = NULL,   aggr.ref = FALSE,   aggr.args = list(),   quantile = 0.8,   fine.tune = TRUE,   tune.thresh = 0.05,   prune = TRUE,   BPPARAM = BiocParallel::bpparam(),   query_assay = \"RNA\",   ref_assay = \"RNA\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSingleR.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Annotate single cells using scmap. — RunSingleR","text":"force","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSingleR.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Annotate single cells using scmap. — RunSingleR","text":"","code":"data(\"panc8_sub\") # Simply convert genes from human to mouse and preprocess the data genenames <- make.unique(capitalize(rownames(panc8_sub), force_tolower = TRUE)) panc8_sub <- RenameFeatures(panc8_sub, newnames = genenames) #> Rename features for the assay: RNA panc8_sub <- check_srtMerge(panc8_sub, batch = \"tech\")[[\"srtMerge\"]] #> [2023-09-01 06:21:31.25918] Spliting srtMerge into srtList by column tech... ... #> [2023-09-01 06:21:31.783568] Checking srtList... ... #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/5 of the srtList... #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 2/5 of the srtList... #> Data 3/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 3/5 of the srtList... #> Data 4/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 4/5 of the srtList... #> Data 5/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 5/5 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-01 06:21:34.718592] Finished checking.  # Annotation data(\"pancreas_sub\") pancreas_sub <- Standard_SCP(pancreas_sub) #> [2023-09-01 06:21:36.66201] Start Standard_SCP #> [2023-09-01 06:21:36.662215] Checking srtList... ... #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-01 06:21:37.612662] Finished checking. #> [2023-09-01 06:21:37.612869] Perform ScaleData on the data... #> [2023-09-01 06:21:37.727934] Perform linear dimension reduction (pca) on the data... #> [2023-09-01 06:21:38.602885] Perform FindClusters (louvain) on the data... #> [2023-09-01 06:21:38.722701] Reorder clusters... #> [2023-09-01 06:21:38.911543] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-01 06:21:47.912138] Standard_SCP done #> Elapsed time: 11.25 secs  pancreas_sub <- RunSingleR(   srt_query = pancreas_sub, srt_ref = panc8_sub,   query_group = \"Standardclusters\", ref_group = \"celltype\", ) #> Detected srt_query data type: log_normalized_counts #> Detected srt_ref data type: log_normalized_counts #> Perform SingleRCluster on the data... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  CellDimPlot(pancreas_sub, group.by = \"singler_annotation\")   pancreas_sub <- RunSingleR(   srt_query = pancreas_sub, srt_ref = panc8_sub,   query_group = NULL, ref_group = \"celltype\" ) #> Detected srt_query data type: log_normalized_counts #> Detected srt_ref data type: log_normalized_counts #> Perform SingleRCell on the data... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  CellDimPlot(pancreas_sub, group.by = \"singler_annotation\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSlingshot.html","id":null,"dir":"Reference","previous_headings":"","what":"RunSlingshot — RunSlingshot","title":"RunSlingshot — RunSlingshot","text":"RunSlingshot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSlingshot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"RunSlingshot — RunSlingshot","text":"","code":"RunSlingshot(   srt,   group.by,   reduction = NULL,   dims = NULL,   start = NULL,   end = NULL,   prefix = NULL,   reverse = FALSE,   align_start = FALSE,   show_plot = TRUE,   lineage_palette = \"Dark2\",   seed = 11,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSlingshot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"RunSlingshot — RunSlingshot","text":"dims","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSlingshot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"RunSlingshot — RunSlingshot","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\") #> Warning: Removed 8 rows containing missing values (`geom_path()`). #> Warning: Removed 8 rows containing missing values (`geom_path()`).  pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"PCA\", dims = 1:10)  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", lineages = paste0(\"Lineage\", 1:2), lineages_span = 0.1)   # 3D lineage pancreas_sub <- Standard_SCP(pancreas_sub) #> [2023-09-01 06:22:16.50018] Start Standard_SCP #> [2023-09-01 06:22:16.500357] Checking srtList... ... #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-01 06:22:17.534477] Finished checking. #> [2023-09-01 06:22:17.534685] Perform ScaleData on the data... #> [2023-09-01 06:22:17.737728] Perform linear dimension reduction (pca) on the data... #> [2023-09-01 06:22:18.486699] Perform FindClusters (louvain) on the data... #> [2023-09-01 06:22:18.604857] Reorder clusters... #> [2023-09-01 06:22:18.789856] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-01 06:22:28.141935] Standard_SCP done #> Elapsed time: 11.64 secs  pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"StandardpcaUMAP3D\") CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", lineages = paste0(\"Lineage\", 1:3), lineages_span = 0.1, lineages_trim = c(0.05, 0.95))"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSymphonyMap.html","id":null,"dir":"Reference","previous_headings":"","what":"Single-cell reference mapping with Symphony method — RunSymphonyMap","title":"Single-cell reference mapping with Symphony method — RunSymphonyMap","text":"Single-cell reference mapping Symphony method","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSymphonyMap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Single-cell reference mapping with Symphony method — RunSymphonyMap","text":"","code":"RunSymphonyMap(   srt_query,   srt_ref,   query_assay = NULL,   ref_assay = srt_ref[[ref_pca]]@assay.used,   ref_pca = NULL,   ref_harmony = NULL,   ref_umap = NULL,   ref_group = NULL,   projection_method = c(\"model\", \"knn\"),   nn_method = NULL,   k = 30,   distance_metric = \"cosine\",   vote_fun = \"mean\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSymphonyMap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Single-cell reference mapping with Symphony method — RunSymphonyMap","text":"vote_fun","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSymphonyMap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Single-cell reference mapping with Symphony method — RunSymphonyMap","text":"","code":"data(\"panc8_sub\") srt_ref <- panc8_sub[, panc8_sub$tech != \"fluidigmc1\"] srt_query <- panc8_sub[, panc8_sub$tech == \"fluidigmc1\"] srt_ref <- Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"Harmony\") #> [2023-09-01 06:22:33.530518] Start Harmony_integrate #> Error in Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"Harmony\"): object 'srt_ref' not found CellDimPlot(srt_ref, group.by = c(\"celltype\", \"tech\")) #> Error in DefaultReduction(srt): Unable to find any reductions.  # Projection srt_query <- RunSymphonyMap(srt_query = srt_query, srt_ref = srt_ref, ref_pca = \"Harmonypca\", ref_harmony = \"Harmony\", ref_umap = \"HarmonyUMAP2D\") #> Error: Cannot find 'Harmonypca' in this Seurat object ProjectionPlot(srt_query = srt_query, srt_ref = srt_ref, query_group = \"celltype\", ref_group = \"celltype\") #> Error: Cannot find 'ref.embeddings' in this Seurat object"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunTriMap.html","id":null,"dir":"Reference","previous_headings":"","what":"Run TriMap — RunTriMap","title":"Run TriMap — RunTriMap","text":"Run TriMap","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunTriMap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run TriMap — RunTriMap","text":"","code":"RunTriMap(object, ...)  # S3 method for Seurat RunTriMap(   object,   reduction = \"pca\",   dims = NULL,   features = NULL,   assay = DefaultAssay(object = object),   slot = \"data\",   n_components = 2,   n_inliers = 12,   n_outliers = 4,   n_random = 3,   distance_method = \"euclidean\",   lr = 0.1,   n_iters = 400,   triplets = NULL,   weights = NULL,   use_dist_matrix = FALSE,   knn_tuple = NULL,   apply_pca = TRUE,   opt_method = \"dbd\",   reduction.name = \"trimap\",   reduction.key = \"TriMap_\",   verbose = TRUE,   seed.use = 11L,   ... )  # S3 method for default RunTriMap(   object,   assay = NULL,   n_components = 2,   n_inliers = 12,   n_outliers = 4,   n_random = 3,   distance_method = \"euclidean\",   lr = 0.1,   n_iters = 400,   triplets = NULL,   weights = NULL,   use_dist_matrix = FALSE,   knn_tuple = NULL,   apply_pca = TRUE,   opt_method = \"dbd\",   reduction.key = \"TriMap_\",   verbose = TRUE,   seed.use = 11L,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunTriMap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run TriMap — RunTriMap","text":"object  ...  n_components","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunUMAP2.html","id":null,"dir":"Reference","previous_headings":"","what":"Run UMAP — RunUMAP2","title":"Run UMAP — RunUMAP2","text":"Run UMAP","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunUMAP2.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run UMAP — RunUMAP2","text":"","code":"RunUMAP2(object, ...)  # S3 method for Seurat RunUMAP2(   object,   reduction = \"pca\",   dims = NULL,   features = NULL,   neighbor = NULL,   graph = NULL,   assay = DefaultAssay(object = object),   slot = \"data\",   umap.method = \"uwot\",   reduction.model = NULL,   return.model = FALSE,   n.neighbors = 30L,   n.components = 2L,   metric = \"cosine\",   n.epochs = 200L,   spread = 1,   min.dist = 0.3,   set.op.mix.ratio = 1,   local.connectivity = 1L,   negative.sample.rate = 5L,   a = NULL,   b = NULL,   learning.rate = 1,   repulsion.strength = 1,   seed.use = 42L,   verbose = TRUE,   reduction.name = \"umap\",   reduction.key = \"UMAP_\",   ... )  # S3 method for default RunUMAP2(   object,   assay = NULL,   umap.method = \"uwot\",   reduction.model = NULL,   return.model = FALSE,   n.neighbors = 30L,   n.components = 2L,   metric = \"cosine\",   n.epochs = 200L,   spread = 1,   min.dist = 0.3,   set.op.mix.ratio = 1,   local.connectivity = 1L,   negative.sample.rate = 5L,   a = NULL,   b = NULL,   learning.rate = 1,   repulsion.strength = 1,   seed.use = 42L,   verbose = TRUE,   reduction.key = \"UMAP_\",   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunUMAP2.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run UMAP — RunUMAP2","text":"object  ...","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunWOT.html","id":null,"dir":"Reference","previous_headings":"","what":"Run WOT analysis — RunWOT","title":"Run WOT analysis — RunWOT","text":"Run WOT analysis","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunWOT.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run WOT analysis — RunWOT","text":"","code":"RunWOT(   srt = NULL,   assay_X = \"RNA\",   slot_X = \"counts\",   assay_layers = c(\"spliced\", \"unspliced\"),   slot_layers = \"counts\",   adata = NULL,   group_by = NULL,   palette = \"Paired\",   palcolor = NULL,   linear_reduction = NULL,   nonlinear_reduction = NULL,   basis = NULL,   n_pcs = 30,   n_neighbors = 30,   dm_n_components = 10,   dm_alpha = 0,   dm_n_eigs = NULL,   early_group = NULL,   terminal_groups = NULL,   early_cell = NULL,   terminal_cells = NULL,   num_waypoints = 1200,   scale_components = TRUE,   use_early_cell_as_start = TRUE,   adjust_early_cell = FALSE,   adjust_terminal_cells = FALSE,   max_iterations = 25,   n_jobs = 8,   point_size = 20,   show_plot = TRUE,   dpi = 300,   save = FALSE,   dirpath = \"./\",   fileprefix = \"\",   return_seurat = !is.null(srt) )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunWOT.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run WOT analysis — RunWOT","text":"srt Seurat object. adata anndata object. Can created srt_to_adata group_by group_by. linear_reduction linear_reduction. nonlinear_reduction nonlinear_reduction. basis basis. n_pcs n_pcs. n_neighbors n_neighbors. n_jobs n_jobs. dpi dpi. save save. dirpath dirpath. fileprefix fileprefix. return_seurat","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunWOT.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run WOT analysis — RunWOT","text":"anndata object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/SankeyPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"SankeyPlot — SankeyPlot","title":"SankeyPlot — SankeyPlot","text":"SankeyPlot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/SankeyPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"SankeyPlot — SankeyPlot","text":"","code":"SankeyPlot(node, edge, node_group = NULL, group_list = NULL)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/SankeyPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"SankeyPlot — SankeyPlot","text":"group_list","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Scanorama_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"Scanorama_integrate — Scanorama_integrate","title":"Scanorama_integrate — Scanorama_integrate","text":"Scanorama_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Scanorama_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Scanorama_integrate — Scanorama_integrate","text":"","code":"Scanorama_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   Scanorama_dims_use = NULL,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   return_corrected = FALSE,   scanorama_params = list(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Scanorama_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Scanorama_integrate — Scanorama_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Seurat_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"Seurat_integrate — Seurat_integrate","title":"Seurat_integrate — Seurat_integrate","text":"Seurat_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Seurat_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Seurat_integrate — Seurat_integrate","text":"","code":"Seurat_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   linear_reduction = \"pca\",   linear_reduction_dims = 50,   linear_reduction_dims_use = NULL,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   FindIntegrationAnchors_params = list(),   IntegrateData_params = list(),   IntegrateEmbeddings_params = list(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Seurat_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Seurat_integrate — Seurat_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". linear_reduction linear reduction method name. Can one \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Dimensions calculate performing linear reduction. linear_reduction_dims_use dimensions use performing nonlinear reduction. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/SrtAppend.html","id":null,"dir":"Reference","previous_headings":"","what":"Append a Seurat object to another — SrtAppend","title":"Append a Seurat object to another — SrtAppend","text":"Append Seurat object another","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/SrtAppend.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Append a Seurat object to another — SrtAppend","text":"","code":"SrtAppend(   srt_raw,   srt_append,   slots = slotNames(srt_append),   pattern = NULL,   overwrite = FALSE,   verbose = TRUE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/SrtAppend.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Append a Seurat object to another — SrtAppend","text":"srt_raw Seurat object appended. srt_append New Seurat object append. slots slots names. pattern character string containing regular expression. data matching names considered appending. overwrite Whether overwrite. verbose Show messages.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/SrtReorder.html","id":null,"dir":"Reference","previous_headings":"","what":"Reorder idents by the gene expression — SrtReorder","title":"Reorder idents by the gene expression — SrtReorder","text":"Reorder idents gene expression","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/SrtReorder.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Reorder idents by the gene expression — SrtReorder","text":"","code":"SrtReorder(   srt,   features = NULL,   reorder_by = NULL,   slot = \"data\",   assay = NULL,   log = TRUE,   distance_metric = \"euclidean\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/SrtReorder.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Reorder idents by the gene expression — SrtReorder","text":"srt Seurat object. features Features used reorder idents. reorder_by Reorder groups instead idents. slot Specific slot get data . assay Specific assay get data . log Whether log1p transformation needs applied. Default TRUE. distance_metric Metric compute distance. Default \"euclidean\".","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Standard_SCP.html","id":null,"dir":"Reference","previous_headings":"","what":"Standard_SCP — Standard_SCP","title":"Standard_SCP — Standard_SCP","text":"Single cell pipeline single dataset.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Standard_SCP.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Standard_SCP — Standard_SCP","text":"","code":"Standard_SCP(   srt,   prefix = \"Standard\",   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_method = \"vst\",   nHVF = 2000,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   linear_reduction = \"pca\",   linear_reduction_dims = 50,   linear_reduction_dims_use = NULL,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Standard_SCP.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Standard_SCP — Standard_SCP","text":"srt Seurat object. prefix prefix used name result. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". linear_reduction linear reduction method name. Can one \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Dimensions calculate performing linear reduction. linear_reduction_dims_use dimensions use performing nonlinear reduction. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Standard_SCP.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Standard_SCP — Standard_SCP","text":"Seurat object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Standard_SCP.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Standard_SCP — Standard_SCP","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- Standard_SCP(srt = pancreas_sub) #> [2023-09-01 06:22:36.736677] Start Standard_SCP #> [2023-09-01 06:22:36.736918] Checking srtList... ... #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-01 06:22:37.764206] Finished checking. #> [2023-09-01 06:22:37.76443] Perform ScaleData on the data... #> [2023-09-01 06:22:37.89715] Perform linear dimension reduction (pca) on the data... #> [2023-09-01 06:22:38.705229] Perform FindClusters (louvain) on the data... #> [2023-09-01 06:22:38.82887] Reorder clusters... #> [2023-09-01 06:22:39.035958] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-01 06:22:50.379546] Standard_SCP done #> Elapsed time: 13.64 secs  CellDimPlot(pancreas_sub, group.by = \"SubCellType\")   # Use a combination of different linear or non-linear dimension reduction methods linear_reductions <- c(\"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\") pancreas_sub <- Standard_SCP(   srt = pancreas_sub,   linear_reduction = linear_reductions,   nonlinear_reduction = \"umap\" ) #> [2023-09-01 06:22:50.615363] Start Standard_SCP #> [2023-09-01 06:22:50.615553] Checking srtList... ... #> Data 1/1 of the srtList has been log-normalized. #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-01 06:22:51.531924] Finished checking. #> [2023-09-01 06:22:51.532145] Perform ScaleData on the data... #> [2023-09-01 06:22:51.719143] Perform linear dimension reduction (pca) on the data... #> [2023-09-01 06:22:52.546866] Perform FindClusters (louvain) on the data... #> [2023-09-01 06:22:52.684227] Reorder clusters... #> [2023-09-01 06:22:52.911672] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-01 06:23:01.923138] Perform linear dimension reduction (ica) on the data... #> [2023-09-01 06:23:03.708636] Perform FindClusters (louvain) on the data... #> [2023-09-01 06:23:03.876306] Reorder clusters... #> [2023-09-01 06:23:04.125749] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardica, dims:1-17) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardica, dims:1-17) as input #> [2023-09-01 06:23:13.251146] Perform linear dimension reduction (nmf) on the data... #>  #> Attaching package: ‘Matrix’ #> The following object is masked from ‘package:S4Vectors’: #>  #>     expand #> [2023-09-01 06:23:27.482324] Perform FindClusters (louvain) on the data... #> [2023-09-01 06:23:27.656842] Reorder clusters... #> [2023-09-01 06:23:27.981529] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardnmf, dims:1-50) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardnmf, dims:1-50) as input #> [2023-09-01 06:23:37.79272] Perform linear dimension reduction (mds) on the data... #> [2023-09-01 06:23:46.281587] Perform FindClusters (louvain) on the data... #> [2023-09-01 06:23:46.472513] Reorder clusters... #> [2023-09-01 06:23:46.849372] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardmds, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardmds, dims:1-13) as input #> [2023-09-01 06:23:58.179663] Perform linear dimension reduction (glmpca) on the data... #> [2023-09-01 06:25:16.17883] Perform FindClusters (louvain) on the data... #> [2023-09-01 06:25:16.452858] Reorder clusters... #> [2023-09-01 06:25:17.119577] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardglmpca, dims:1-50) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardglmpca, dims:1-50) as input #> [2023-09-01 06:25:28.085716] Standard_SCP done #> Elapsed time: 2.62 mins  plist1 <- lapply(linear_reductions, function(lr) CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = paste0(\"Standard\", lr, \"UMAP2D\"), theme_use = \"theme_blank\")) patchwork::wrap_plots(plotlist = plist1)   nonlinear_reductions <- c(\"umap\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\", \"fr\") pancreas_sub <- Standard_SCP(   srt = pancreas_sub,   linear_reduction = \"pca\",   nonlinear_reduction = nonlinear_reductions ) #> [2023-09-01 06:25:30.155188] Start Standard_SCP #> [2023-09-01 06:25:30.155459] Checking srtList... ... #> Data 1/1 of the srtList has been log-normalized. #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-01 06:25:32.44742] Finished checking. #> [2023-09-01 06:25:32.447702] Perform ScaleData on the data... #> [2023-09-01 06:25:33.178162] Perform linear dimension reduction (pca) on the data... #> [2023-09-01 06:25:35.315243] Perform FindClusters (louvain) on the data... #> [2023-09-01 06:25:35.553905] Reorder clusters... #> [2023-09-01 06:25:36.032857] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-01 06:25:48.432316] Perform nonlinear dimension reduction (tsne) on the data... #> Non-linear dimensionality reduction(tsne) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(tsne) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-01 06:25:59.227848] Perform nonlinear dimension reduction (dm) on the data... #> Non-linear dimensionality reduction(dm) using Reduction(Standardpca, dims:1-13) as input #> Warning: 'as(, \"dsTMatrix\")' is deprecated. #> Use 'as(., \"TsparseMatrix\")' instead. #> See help(\"Deprecated\") and help(\"Matrix-deprecated\"). #> Non-linear dimensionality reduction(dm) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-01 06:26:00.976073] Perform nonlinear dimension reduction (phate) on the data... #> Non-linear dimensionality reduction(phate) using Reduction(Standardpca, dims:1-13) as input #> Try to install phate ... #> Non-linear dimensionality reduction(phate) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-01 06:26:33.457733] Perform nonlinear dimension reduction (pacmap) on the data... #> Non-linear dimensionality reduction(pacmap) using Reduction(Standardpca, dims:1-13) as input #> Try to install pacmap ... #> Non-linear dimensionality reduction(pacmap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-01 06:27:10.320249] Perform nonlinear dimension reduction (trimap) on the data... #> Non-linear dimensionality reduction(trimap) using Reduction(Standardpca, dims:1-13) as input #> Try to install trimap ... #> Non-linear dimensionality reduction(trimap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-01 06:27:35.979561] Perform nonlinear dimension reduction (largevis) on the data... #> Non-linear dimensionality reduction(largevis) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(largevis) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-01 06:35:01.141008] Perform nonlinear dimension reduction (fr) on the data... #> Non-linear dimensionality reduction(fr) using Graphs(Standardpca_SNN) as input #> Non-linear dimensionality reduction(fr) using Graphs(Standardpca_SNN) as input #> [2023-09-01 06:35:05.269222] Standard_SCP done #> Elapsed time: 9.59 mins  plist2 <- lapply(nonlinear_reductions, function(nr) CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = paste0(\"Standardpca\", toupper(nr), \"2D\"), theme_use = \"theme_blank\")) patchwork::wrap_plots(plotlist = plist2)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/StatPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"StatPlot — StatPlot","title":"StatPlot — StatPlot","text":"StatPlot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/StatPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"StatPlot — StatPlot","text":"","code":"StatPlot(   meta.data,   stat.by,   group.by = NULL,   split.by = NULL,   bg.by = NULL,   flip = FALSE,   NA_color = \"grey\",   NA_stat = TRUE,   keep_empty = FALSE,   individual = FALSE,   stat_level = NULL,   plot_type = c(\"bar\", \"rose\", \"ring\", \"pie\", \"trend\", \"area\", \"dot\", \"sankey\", \"chord\",     \"venn\", \"upset\"),   stat_type = c(\"percent\", \"count\"),   position = c(\"stack\", \"dodge\"),   palette = \"Paired\",   palcolor = NULL,   alpha = 1,   bg_palette = \"Paired\",   bg_palcolor = NULL,   bg_apha = 0.2,   label = FALSE,   label.size = 3.5,   label.fg = \"black\",   label.bg = \"white\",   label.bg.r = 0.1,   aspect.ratio = NULL,   title = NULL,   subtitle = NULL,   xlab = NULL,   ylab = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE,   force = FALSE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/StatPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"StatPlot — StatPlot","text":"meta.data  seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/StatPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"StatPlot — StatPlot","text":"","code":"data(\"pancreas_sub\") head(pancreas_sub@meta.data) #>                     orig.ident nCount_RNA nFeature_RNA     S_score   G2M_score nCount_spliced nFeature_spliced #> CAGCCGAAGCGATATA SeuratProject      10653         3295  0.33188155  0.54532743          10653             3295 #> AGTGTCATCGCCGTGA SeuratProject       4596         2053 -0.07156909 -0.08865353           4596             2053 #> GATGAAAAGTTGTAGA SeuratProject      14091         3864  0.08940628  0.77610326          14091             3864 #> CACAGTACATCCGTGG SeuratProject       5484         2510 -0.25927997 -0.25941831           5484             2510 #> CGGAGCTCATTGGGCC SeuratProject       7357         2674 -0.11764368  0.46237856           7357             2674 #> AGAGCTTGTGTGACCC SeuratProject       6498         2516 -0.11406432 -0.17830831           6498             2516 #>                  nCount_unspliced nFeature_unspliced      CellType   SubCellType Phase #> CAGCCGAAGCGATATA             1587               1063        Ductal        Ductal   G2M #> AGTGTCATCGCCGTGA             1199                803 Pre-endocrine Pre-endocrine    G1 #> GATGAAAAGTTGTAGA             2166               1379   Ngn3 low EP   Ngn3 low EP   G2M #> CACAGTACATCCGTGG             1339                859     Endocrine          Beta    G1 #> CGGAGCTCATTGGGCC              976                745        Ductal        Ductal   G2M #> AGAGCTTGTGTGACCC              822                591        Ductal        Ductal    G1 StatPlot(pancreas_sub@meta.data, stat.by = \"Phase\", group.by = \"CellType\", plot_type = \"bar\", label = TRUE)   head(pancreas_sub[[\"RNA\"]]@meta.features) #>               highly_variable_genes #> Mrpl15                        False #> Npbwr1                          #> 4732440D04Rik                 False #> Gm26901                       False #> Sntg1                          True #> Mybl1                         False StatPlot(pancreas_sub[[\"RNA\"]]@meta.features, stat.by = \"highly_variable_genes\", plot_type = \"ring\", label = TRUE) #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`).   pancreas_sub <- AnnotateFeatures(pancreas_sub, species = \"Mus_musculus\", IDtype = \"symbol\", db = \"GeneType\") #> Species: Mus_musculus #> Loading cached db: GeneType version:3.17.0 nterm:11 created:2023-09-01 05:04:27.254224 head(pancreas_sub[[\"RNA\"]]@meta.features) #>               highly_variable_genes       GeneType #> Mrpl15                        False protein-coding #> Npbwr1                          protein-coding #> 4732440D04Rik                 False            #> Gm26901                       False            #> Sntg1                          True protein-coding #> Mybl1                         False protein-coding StatPlot(pancreas_sub[[\"RNA\"]]@meta.features,   stat.by = \"highly_variable_genes\", group.by = \"GeneType\",   stat_type = \"count\", plot_type = \"bar\", position = \"dodge\", label = TRUE, NA_stat = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Uncorrected_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"Uncorrected_integrate — Uncorrected_integrate","title":"Uncorrected_integrate — Uncorrected_integrate","text":"Uncorrected_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Uncorrected_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Uncorrected_integrate — Uncorrected_integrate","text":"","code":"Uncorrected_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   linear_reduction = \"pca\",   linear_reduction_dims = 50,   linear_reduction_dims_use = NULL,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Uncorrected_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Uncorrected_integrate — Uncorrected_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". linear_reduction linear reduction method name. Can one \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Dimensions calculate performing linear reduction. linear_reduction_dims_use dimensions use performing nonlinear reduction. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/VelocityPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"Velocity Plot — VelocityPlot","title":"Velocity Plot — VelocityPlot","text":"Velocity Plot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/VelocityPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Velocity Plot — VelocityPlot","text":"","code":"VelocityPlot(   srt,   reduction,   dims = c(1, 2),   cells = NULL,   velocity = \"stochastic\",   plot_type = c(\"raw\", \"grid\", \"stream\"),   group_by = NULL,   group_palette = \"Paired\",   group_palcolor = NULL,   n_neighbors = ceiling(ncol(srt@assays[[1]])/50),   density = 1,   smooth = 0.5,   scale = 1,   min_mass = 1,   cutoff_perc = 5,   arrow_angle = 20,   arrow_color = \"black\",   streamline_L = 5,   streamline_minL = 1,   streamline_res = 1,   streamline_n = 15,   streamline_width = c(0, 0.8),   streamline_alpha = 1,   streamline_color = NULL,   streamline_palette = \"RdYlBu\",   streamline_palcolor = NULL,   streamline_bg_color = \"white\",   streamline_bg_stroke = 0.5,   aspect.ratio = 1,   title = \"Cell velocity\",   subtitle = NULL,   xlab = NULL,   ylab = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   return_layer = FALSE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/VelocityPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Velocity Plot — VelocityPlot","text":"theme_args","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/VelocityPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Velocity Plot — VelocityPlot","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunSCVELO(srt = pancreas_sub, group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\", return_seurat = TRUE) #> 'misc' slot is not converted. #> 'tools' slot is not converted. #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from variance_stochastic_ to variancestochastic_ #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from variance_velocity_ to variancevelocity_ VelocityPlot(pancreas_sub, reduction = \"UMAP\")  VelocityPlot(pancreas_sub, reduction = \"UMAP\", group_by = \"SubCellType\")  VelocityPlot(pancreas_sub, reduction = \"UMAP\", plot_type = \"grid\")  VelocityPlot(pancreas_sub, reduction = \"UMAP\", plot_type = \"stream\")  VelocityPlot(pancreas_sub, reduction = \"UMAP\", plot_type = \"stream\", streamline_color = \"black\")  VelocityPlot(pancreas_sub, reduction = \"UMAP\", plot_type = \"stream\", streamline_color = \"black\", arrow_color = \"red\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/VolcanoPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"VolcanoPlot — VolcanoPlot","title":"VolcanoPlot — VolcanoPlot","text":"VolcanoPlot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/VolcanoPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"VolcanoPlot — VolcanoPlot","text":"","code":"VolcanoPlot(   srt,   group_by = NULL,   test.use = \"wilcox\",   DE_threshold = \"avg_log2FC > 0 & p_val_adj < 0.05\",   x_metric = \"diff_pct\",   palette = \"RdBu\",   palcolor = NULL,   pt.size = 1,   pt.alpha = 1,   cols.highlight = \"black\",   sizes.highlight = 1,   alpha.highlight = 1,   stroke.highlight = 0.5,   nlabel = 5,   features_label = NULL,   label.fg = \"black\",   label.bg = \"white\",   label.bg.r = 0.1,   label.size = 4,   aspect.ratio = NULL,   xlab = x_metric,   ylab = \"-log10(p-adjust)\",   theme_use = \"theme_scp\",   theme_args = list(),   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/VolcanoPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"VolcanoPlot — VolcanoPlot","text":"byrow","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/VolcanoPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"VolcanoPlot — VolcanoPlot","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunDEtest(pancreas_sub, group_by = \"CellType\", only.pos = FALSE) #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. #> [2023-09-01 06:35:52.518843] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 5 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 06:36:00.068345] DEtest done #> Elapsed time:7.55 secs VolcanoPlot(pancreas_sub, group_by = \"CellType\")  VolcanoPlot(pancreas_sub, group_by = \"CellType\", DE_threshold = \"abs(diff_pct) > 0.3 & p_val_adj < 0.05\")  VolcanoPlot(pancreas_sub, group_by = \"CellType\", x_metric = \"avg_log2FC\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/adata_to_srt.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert an anndata object to a seurat object using reticulate — adata_to_srt","title":"Convert an anndata object to a seurat object using reticulate — adata_to_srt","text":"Convert anndata object seurat object using reticulate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/adata_to_srt.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert an anndata object to a seurat object using reticulate — adata_to_srt","text":"","code":"adata_to_srt(adata)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/adata_to_srt.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert an anndata object to a seurat object using reticulate — adata_to_srt","text":"adata connected python anndata object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/adata_to_srt.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Convert an anndata object to a seurat object using reticulate — adata_to_srt","text":"","code":"data(\"pancreas_sub\") adata <- srt_to_adata(pancreas_sub) #> 'misc' slot is not converted. #> 'tools' slot is not converted. adata <- RunPAGA(adata = adata, group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\") srt <- adata_to_srt(adata) srt #> An object of class Seurat  #> 47874 features across 1000 samples within 3 assays  #> Active assay: RNA (15958 features, 0 variable features) #>  2 other assays present: spliced, unspliced #>  3 dimensional reductions calculated: PCA, UMAP, draw_graph_fr  ### Or convert a h5ad file to Seurat object # library(reticulate) # check_Python(\"scanpy\") # sc <- import(\"scanpy\") # adata <- sc$read_h5ad(\"pancreas.h5ad\") # srt <- adata_to_srt(adata) # srt"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/adjcolors.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert a color with arbitrary transparency to a fixed color — adjcolors","title":"Convert a color with arbitrary transparency to a fixed color — adjcolors","text":"Convert color arbitrary transparency fixed color","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/adjcolors.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert a color with arbitrary transparency to a fixed color — adjcolors","text":"","code":"adjcolors(colors, alpha)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/adjcolors.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert a color with arbitrary transparency to a fixed color — adjcolors","text":"colors Color vectors. alpha Alpha level [0,1]","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/adjcolors.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Convert a color with arbitrary transparency to a fixed color — adjcolors","text":"","code":"colors <- c(\"red\", \"blue\", \"green\") adjcolors(colors, 0.5) #>        V1        V2        V3  #> \"#FF8080\" \"#8080FF\" \"#80FF80\"   library(scales) alpha(colors, 0.5) #> [1] \"#FF000080\" \"#0000FF80\" \"#00FF0080\"  show_palettes(list(colors, adjcolors(colors, 0.5), alpha(colors, 0.5)))  #> [1] \"1\" \"2\" \"3\""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/as_matrix.html","id":null,"dir":"Reference","previous_headings":"","what":"Attempts to turn a dgCMatrix into a dense matrix — as_matrix","title":"Attempts to turn a dgCMatrix into a dense matrix — as_matrix","text":"Attempts turn dgCMatrix dense matrix","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/as_matrix.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Attempts to turn a dgCMatrix into a dense matrix — as_matrix","text":"","code":"as_matrix(matrix)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/as_matrix.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Attempts to turn a dgCMatrix into a dense matrix — as_matrix","text":"matrix dgCMatrix","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/blendcolors.html","id":null,"dir":"Reference","previous_headings":"","what":"Blend colors — blendcolors","title":"Blend colors — blendcolors","text":"Blend colors","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/blendcolors.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Blend colors — blendcolors","text":"","code":"blendcolors(colors, mode = c(\"blend\", \"average\", \"screen\", \"multiply\"))"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/blendcolors.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Blend colors — blendcolors","text":"colors Color vectors. mode Blend mode.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/blendcolors.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Blend colors — blendcolors","text":"","code":"blend <- c(\"red\", \"green\", blendcolors(c(\"red\", \"green\"), mode = \"blend\")) average <- c(\"red\", \"green\", blendcolors(c(\"red\", \"green\"), mode = \"average\")) screen <- c(\"red\", \"green\", blendcolors(c(\"red\", \"green\"), mode = \"screen\")) multiply <- c(\"red\", \"green\", blendcolors(c(\"red\", \"green\"), mode = \"multiply\")) show_palettes(list(\"blend\" = blend, \"average\" = average, \"screen\" = screen, \"multiply\" = multiply))  #> [1] \"blend\"    \"average\"  \"screen\"   \"multiply\""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/capitalize.html","id":null,"dir":"Reference","previous_headings":"","what":"Capitalizes the characters\nMaking the first letter uppercase — capitalize","title":"Capitalizes the characters\nMaking the first letter uppercase — capitalize","text":"Capitalizes characters Making first letter uppercase","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/capitalize.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Capitalizes the characters\nMaking the first letter uppercase — capitalize","text":"","code":"capitalize(x, force_tolower = FALSE)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/capitalize.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Capitalizes the characters\nMaking the first letter uppercase — capitalize","text":"x vector character strings capitalized. force_tolower Whether force remaining letters lowercase.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/capitalize.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Capitalizes the characters\nMaking the first letter uppercase — capitalize","text":"","code":"x <- c(\"dna methylation\", \"rRNA processing\", \"post-Transcriptional gene silencing\") capitalize(x) #> [1] \"Dna methylation\"                     \"rRNA processing\"                     \"Post-Transcriptional gene silencing\""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_DataType.html","id":null,"dir":"Reference","previous_headings":"","what":"Check and report the type of data — check_DataType","title":"Check and report the type of data — check_DataType","text":"Check report type data","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_DataType.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check and report the type of data — check_DataType","text":"","code":"check_DataType(srt, data = NULL, slot = \"data\", assay = NULL)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_DataType.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check and report the type of data — check_DataType","text":"srt Seurat object data Use data instead getting Seurat object. slot Specific slot get data . assay Specific assay get data .","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_Python.html","id":null,"dir":"Reference","previous_headings":"","what":"Check and install python packages — check_Python","title":"Check and install python packages — check_Python","text":"Check install python packages","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_Python.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check and install python packages — check_Python","text":"","code":"check_Python(   packages,   envname = NULL,   conda = \"auto\",   force = FALSE,   pip = TRUE,   pip_options = character(),   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_Python.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check and install python packages — check_Python","text":"packages character vector, indicating package names installed removed. Use ⁠==⁠ request installation specific version package. envname name conda environment. conda path conda executable. Use \"auto\" allow SCP automatically find appropriate conda binary. force Whether force package installation. Default FALSE. pip Whether use pip package installation. default, packages installed active conda channels. pip_options optional character vector additional command line arguments passed pip. relevant pip = TRUE. ... arguments passed conda_install","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_Python.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Check and install python packages — check_Python","text":"","code":"check_Python(packages = c(\"bbknn\", \"scanorama\")) #> Try to install bbknn,scanorama ... if (FALSE) { check_Python(packages = \"scvi-tools==0.20.0\", envname = \"SCP_env\", pip_options = \"-i https://pypi.tuna.tsinghua.edu.cn/simple\") }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_R.html","id":null,"dir":"Reference","previous_headings":"","what":"Check and install R packages — check_R","title":"Check and install R packages — check_R","text":"Check install R packages","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_R.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check and install R packages — check_R","text":"","code":"check_R(   packages,   package_names = NULL,   install_methods = c(\"BiocManager::install\", \"install.packages\",     \"devtools::install_github\"),   lib = .libPaths()[1],   force = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_R.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check and install R packages — check_R","text":"packages Package installed. Package source can CRAN, Bioconductor Github, e.g. scmap, davidsjoberg/ggsankey. package_names name package corresponds packages parameter, used check package already installed. default, package name extracted according packages parameter. install_methods Functions used install R packages. lib location library directories install packages. force Whether force installation packages. Default FALSE.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_srtList.html","id":null,"dir":"Reference","previous_headings":"","what":"Check and preprocess a list of seurat objects — check_srtList","title":"Check and preprocess a list of seurat objects — check_srtList","text":"Check preprocess list seurat objects","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_srtList.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check and preprocess a list of seurat objects — check_srtList","text":"","code":"check_srtList(   srtList,   batch = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   vars_to_regress = NULL,   seed = 11,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_srtList.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check and preprocess a list of seurat objects — check_srtList","text":"srtList list Seurat object. batch Metadata column name containing batch information. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. vars_to_regress Variables regress . seed Set random seed. ...","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_srtMerge.html","id":null,"dir":"Reference","previous_headings":"","what":"Check and preprocess a merged seurat object — check_srtMerge","title":"Check and preprocess a merged seurat object — check_srtMerge","text":"Check preprocess merged seurat object","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_srtMerge.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check and preprocess a merged seurat object — check_srtMerge","text":"","code":"check_srtMerge(   srtMerge,   batch = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   vars_to_regress = NULL,   seed = 11,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_srtMerge.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check and preprocess a merged seurat object — check_srtMerge","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. vars_to_regress Variables regress . seed Set random seed. ...","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/compute_velocity_on_grid.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute velocity on grid\nThe original python code is on https://github.com/theislab/scvelo/blob/master/scvelo/plotting/velocity_embedding_grid.py — compute_velocity_on_grid","title":"Compute velocity on grid\nThe original python code is on https://github.com/theislab/scvelo/blob/master/scvelo/plotting/velocity_embedding_grid.py — compute_velocity_on_grid","text":"Compute velocity grid original python code https://github.com/theislab/scvelo/blob/master/scvelo/plotting/velocity_embedding_grid.py","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/compute_velocity_on_grid.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute velocity on grid\nThe original python code is on https://github.com/theislab/scvelo/blob/master/scvelo/plotting/velocity_embedding_grid.py — compute_velocity_on_grid","text":"","code":"compute_velocity_on_grid(   X_emb,   V_emb,   density = NULL,   smooth = NULL,   n_neighbors = NULL,   min_mass = NULL,   scale = 1,   adjust_for_stream = FALSE,   cutoff_perc = NULL )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/compute_velocity_on_grid.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute velocity on grid\nThe original python code is on https://github.com/theislab/scvelo/blob/master/scvelo/plotting/velocity_embedding_grid.py — compute_velocity_on_grid","text":"cutoff_perc","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/conda_install.html","id":null,"dir":"Reference","previous_headings":"","what":"Installs a list of packages into a specified conda environment — conda_install","title":"Installs a list of packages into a specified conda environment — conda_install","text":"Installs list packages specified conda environment","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/conda_install.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Installs a list of packages into a specified conda environment — conda_install","text":"","code":"conda_install(   envname = NULL,   packages,   forge = TRUE,   channel = character(),   pip = FALSE,   pip_options = character(),   pip_ignore_installed = FALSE,   conda = \"auto\",   python_version = NULL,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/conda_install.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Installs a list of packages into a specified conda environment — conda_install","text":"envname name , path , conda environment. packages character vector, indicating package names installed removed. Use  == request installation specific version package. NULL value conda_remove() interpretted \"--\", removing entire environment. forge Boolean; include conda-forge repository? channel optional character vector conda channels include. specified, forge argument ignored. need specify multiple channels, including conda forge, can use c(\"conda-forge\", ). pip Boolean; use pip package installation? default, packages installed active conda channels. pip_options optional character vector additional command line arguments passed pip. relevant pip = TRUE. pip_ignore_installed Ignore already-installed versions using pip? (defaults FALSE). Set TRUE specific package versions can installed even downgrades. FALSE option useful situations want pip install attempt overwrite conda binary package (e.g. SciPy Windows difficult install via pip due compilation requirements). conda path conda executable. Use \"auto\" allow reticulate automatically find appropriate conda binary. See Finding Conda conda_binary() details. python_version version Python installed. Set like change version Python associated particular conda environment. ... Optional arguments, reserved future expansion.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/conda_python.html","id":null,"dir":"Reference","previous_headings":"","what":"Find the path to Python associated with a conda environment — conda_python","title":"Find the path to Python associated with a conda environment — conda_python","text":"Find path Python associated conda environment","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/conda_python.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Find the path to Python associated with a conda environment — conda_python","text":"","code":"conda_python(envname = NULL, conda = \"auto\", all = FALSE)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/conda_python.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Find the path to Python associated with a conda environment — conda_python","text":"envname name , path , conda environment. conda path conda executable. Use \"auto\" allow reticulate automatically find appropriate conda binary. See Finding Conda conda_binary() details. Boolean; report instances Python found?","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_DoubletDetection.html","id":null,"dir":"Reference","previous_headings":"","what":"Run doublet-calling with DoubletDetection — db_DoubletDetection","title":"Run doublet-calling with DoubletDetection — db_DoubletDetection","text":"Run doublet-calling DoubletDetection","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_DoubletDetection.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run doublet-calling with DoubletDetection — db_DoubletDetection","text":"","code":"db_DoubletDetection(srt, assay = \"RNA\", db_rate = ncol(srt)/1000 * 0.01, ...)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_DoubletDetection.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run doublet-calling with DoubletDetection — db_DoubletDetection","text":"...","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_DoubletDetection.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run doublet-calling with DoubletDetection — db_DoubletDetection","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- db_DoubletDetection(pancreas_sub) #> Try to install doubletdetection ... CellDimPlot(pancreas_sub, reduction = \"umap\", group.by = \"db.DoubletDetection_class\")  FeatureDimPlot(pancreas_sub, reduction = \"umap\", features = \"db.DoubletDetection_score\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_Scrublet.html","id":null,"dir":"Reference","previous_headings":"","what":"Run doublet-calling with Scrublet — db_Scrublet","title":"Run doublet-calling with Scrublet — db_Scrublet","text":"Run doublet-calling Scrublet","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_Scrublet.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run doublet-calling with Scrublet — db_Scrublet","text":"","code":"db_Scrublet(srt, assay = \"RNA\", db_rate = ncol(srt)/1000 * 0.01, ...)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_Scrublet.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run doublet-calling with Scrublet — db_Scrublet","text":"...","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_Scrublet.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run doublet-calling with Scrublet — db_Scrublet","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- db_Scrublet(pancreas_sub) #> Try to install scrublet ... CellDimPlot(pancreas_sub, reduction = \"umap\", group.by = \"db.Scrublet_class\")  FeatureDimPlot(pancreas_sub, reduction = \"umap\", features = \"db.Scrublet_score\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_scDblFinder.html","id":null,"dir":"Reference","previous_headings":"","what":"Run doublet-calling with scDblFinder — db_scDblFinder","title":"Run doublet-calling with scDblFinder — db_scDblFinder","text":"Run doublet-calling scDblFinder","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_scDblFinder.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run doublet-calling with scDblFinder — db_scDblFinder","text":"","code":"db_scDblFinder(srt, assay = \"RNA\", db_rate = ncol(srt)/1000 * 0.01, ...)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_scDblFinder.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run doublet-calling with scDblFinder — db_scDblFinder","text":"...","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_scDblFinder.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run doublet-calling with scDblFinder — db_scDblFinder","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- db_scDblFinder(pancreas_sub) CellDimPlot(pancreas_sub, reduction = \"umap\", group.by = \"db.scDblFinder_class\")  FeatureDimPlot(pancreas_sub, reduction = \"umap\", features = \"db.scDblFinder_score\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_scds.html","id":null,"dir":"Reference","previous_headings":"","what":"Run doublet-calling with scds — db_scds","title":"Run doublet-calling with scds — db_scds","text":"Run doublet-calling scds","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_scds.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run doublet-calling with scds — db_scds","text":"","code":"db_scds(   srt,   assay = \"RNA\",   db_rate = ncol(srt)/1000 * 0.01,   method = \"hybrid\",   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_scds.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run doublet-calling with scds — db_scds","text":"...","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_scds.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run doublet-calling with scds — db_scds","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- db_scds(pancreas_sub, method = \"hybrid\") CellDimPlot(pancreas_sub, reduction = \"umap\", group.by = \"db.scds_hybrid_class\")  FeatureDimPlot(pancreas_sub, reduction = \"umap\", features = \"db.scds_hybrid_score\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/download.html","id":null,"dir":"Reference","previous_headings":"","what":"Download File from the Internet — download","title":"Download File from the Internet — download","text":"Download File Internet","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/download.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Download File from the Internet — download","text":"","code":"download(   url,   destfile,   methods = c(\"auto\", \"wget\", \"libcurl\", \"curl\", \"wininet\", \"internal\"),   quiet = FALSE,   ...,   max_tries = 2 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/download.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Download File from the Internet — download","text":"url character string (longer vector e.g.,     \"libcurl\" method) naming URL resource     downloaded. destfile character string (vector, see url     argument) file path downloaded file     saved.  Tilde-expansion performed. methods Methods used downloading files. default try different download methods turn download successfully completed. quiet TRUE, suppress status messages (),     progress bar. ... arguments passed download.file max_tries Number tries download method.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/drop_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Drop all data in the plot (only one observation is kept) — drop_data","title":"Drop all data in the plot (only one observation is kept) — drop_data","text":"Drop data plot (one observation kept)","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/drop_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Drop all data in the plot (only one observation is kept) — drop_data","text":"","code":"drop_data(p)  # S3 method for ggplot drop_data(p)  # S3 method for patchwork drop_data(p)  # S3 method for default drop_data(p)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/drop_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Drop all data in the plot (only one observation is kept) — drop_data","text":"p patchwork object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/drop_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Drop all data in the plot (only one observation is kept) — drop_data","text":"","code":"library(ggplot2) p <- ggplot(data = mtcars, aes(x = mpg, y = wt, colour = cyl)) +   geom_point() +   scale_x_continuous(limits = c(10, 30)) +   scale_y_continuous(limits = c(1, 6)) +   theme_scp() object.size(p) #> 39064 bytes  p_drop <- drop_data(p) object.size(p_drop) #> 34016 bytes  p / p_drop #> Warning: Removed 4 rows containing missing values (`geom_point()`)."},{"path":"https://zhanghao-njmu.github.io/SCP/reference/env_exist.html","id":null,"dir":"Reference","previous_headings":"","what":"Check if a conda environment exists — env_exist","title":"Check if a conda environment exists — env_exist","text":"Check conda environment exists","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/env_exist.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check if a conda environment exists — env_exist","text":"","code":"env_exist(conda = \"auto\", envname = NULL, envs_dir = NULL)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/env_exist.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check if a conda environment exists — env_exist","text":"conda path conda executable. Use \"auto\" allow SCP automatically find appropriate conda binary. envname name conda environment. envs_dir Directories conda environments located.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/exist_Python_pkgs.html","id":null,"dir":"Reference","previous_headings":"","what":"Check if the python package exists in the environment — exist_Python_pkgs","title":"Check if the python package exists in the environment — exist_Python_pkgs","text":"Check python package exists environment","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/exist_Python_pkgs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check if the python package exists in the environment — exist_Python_pkgs","text":"","code":"exist_Python_pkgs(packages, envname = NULL, conda = \"auto\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/exist_Python_pkgs.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check if the python package exists in the environment — exist_Python_pkgs","text":"packages character vector, indicating package names installed removed. Use ⁠==⁠ request installation specific version package. envname name conda environment. conda path conda executable. Use \"auto\" allow SCP automatically find appropriate conda binary.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/fastMNN_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"fastMNN_integrate — fastMNN_integrate","title":"fastMNN_integrate — fastMNN_integrate","text":"fastMNN_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/fastMNN_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"fastMNN_integrate — fastMNN_integrate","text":"","code":"fastMNN_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   fastMNN_dims_use = NULL,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   fastMNN_params = list(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/fastMNN_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"fastMNN_integrate — fastMNN_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/find_conda.html","id":null,"dir":"Reference","previous_headings":"","what":"Find an appropriate conda binary — find_conda","title":"Find an appropriate conda binary — find_conda","text":"Find appropriate conda binary","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/find_conda.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Find an appropriate conda binary — find_conda","text":"","code":"find_conda()"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_alluvial.html","id":null,"dir":"Reference","previous_headings":"","what":"geom_alluvial — geom_alluvial","title":"geom_alluvial — geom_alluvial","text":"Creates alluvial plot visualize flows nodes. observation needs `x` aesthetic well `next_x` column declares observation flow. Also observation `node` `next_node` aesthetic provide information group y-direction.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_alluvial.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"geom_alluvial — geom_alluvial","text":"","code":"geom_alluvial(   mapping = NULL,   data = NULL,   position = \"identity\",   na.rm = FALSE,   show.legend = NA,   space = 0,   width = 0.1,   smooth = 8,   inherit.aes = TRUE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_alluvial.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"geom_alluvial — geom_alluvial","text":"mapping provide mapping. x y need numeric. data provide data position change position na.rm remove missing values show.legend show legend plot space space nodes y-direction width width nodes smooth much smooth curve ? means steeper curve. inherit.aes geom inherits aestethics ... arguments passed geo","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_alluvial.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"geom_alluvial — geom_alluvial","text":"ggplot layer","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_alluvial_label.html","id":null,"dir":"Reference","previous_headings":"","what":"geom_alluvial_label — geom_alluvial_label","title":"geom_alluvial_label — geom_alluvial_label","text":"Creates centered labels text nodes alluvial plot. Needs exact aestethics call `geom_alluvial` work.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_alluvial_label.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"geom_alluvial_label — geom_alluvial_label","text":"","code":"geom_alluvial_text(   mapping = NULL,   data = NULL,   position = \"identity\",   na.rm = FALSE,   show.legend = NA,   space = 0,   width = 0.1,   inherit.aes = TRUE,   ... )  geom_alluvial_label(   mapping = NULL,   data = NULL,   position = \"identity\",   na.rm = FALSE,   show.legend = NA,   space = 0,   width = 0.1,   inherit.aes = TRUE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_alluvial_label.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"geom_alluvial_label — geom_alluvial_label","text":"mapping provide mapping. x y need numeric. data provide data position change position na.rm remove missing values show.legend show legend plot space space nodes y-direction width width nodes inherit.aes geom inherits aestethics ... arguments passed geo","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_alluvial_label.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"geom_alluvial_label — geom_alluvial_label","text":"ggplot layer","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_alluvial_label.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"geom_alluvial_label — geom_alluvial_label","text":"important arguments ; `space` proves space nodes y-direction; `shift` shifts nodes y-direction.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey.html","id":null,"dir":"Reference","previous_headings":"","what":"geom_sankey\n\nCreates a sankey plot which visualize flows between nodes. Each observation needs to have a `x` aesthetic as well as a `next_x` column which declares where that observation should flow.\nAlso each observation should have a `node` and a `next_node` aesthetic which provide information about which group in the y-direction. By default each row of the data frame is counted to calculate the size of flows. A manual flow value can be added with the `value` aesthetic. — geom_sankey","title":"geom_sankey\n\nCreates a sankey plot which visualize flows between nodes. Each observation needs to have a `x` aesthetic as well as a `next_x` column which declares where that observation should flow.\nAlso each observation should have a `node` and a `next_node` aesthetic which provide information about which group in the y-direction. By default each row of the data frame is counted to calculate the size of flows. A manual flow value can be added with the `value` aesthetic. — geom_sankey","text":"geom_sankey Creates sankey plot visualize flows nodes. observation needs `x` aesthetic well `next_x` column declares observation flow. Also observation `node` `next_node` aesthetic provide information group y-direction. default row data frame counted calculate size flows. manual flow value can added `value` aesthetic.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"geom_sankey\n\nCreates a sankey plot which visualize flows between nodes. Each observation needs to have a `x` aesthetic as well as a `next_x` column which declares where that observation should flow.\nAlso each observation should have a `node` and a `next_node` aesthetic which provide information about which group in the y-direction. By default each row of the data frame is counted to calculate the size of flows. A manual flow value can be added with the `value` aesthetic. — geom_sankey","text":"","code":"geom_sankey(   mapping = NULL,   data = NULL,   position = \"identity\",   na.rm = FALSE,   show.legend = NA,   space = NULL,   type = \"sankey\",   width = 0.1,   smooth = 8,   inherit.aes = TRUE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"geom_sankey\n\nCreates a sankey plot which visualize flows between nodes. Each observation needs to have a `x` aesthetic as well as a `next_x` column which declares where that observation should flow.\nAlso each observation should have a `node` and a `next_node` aesthetic which provide information about which group in the y-direction. By default each row of the data frame is counted to calculate the size of flows. A manual flow value can be added with the `value` aesthetic. — geom_sankey","text":"mapping provide mapping. x y need numeric. data provide data position change position na.rm remove missing values show.legend show legend plot space space nodes y-direction type either 'sankey' 'alluvial' width width nodes smooth much smooth curve ? means steeper curve. inherit.aes geom inherits aestethics ... arguments passed geom","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"geom_sankey\n\nCreates a sankey plot which visualize flows between nodes. Each observation needs to have a `x` aesthetic as well as a `next_x` column which declares where that observation should flow.\nAlso each observation should have a `node` and a `next_node` aesthetic which provide information about which group in the y-direction. By default each row of the data frame is counted to calculate the size of flows. A manual flow value can be added with the `value` aesthetic. — geom_sankey","text":"ggplot layer","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey.html","id":"aesthetics","dir":"Reference","previous_headings":"","what":"Aesthetics","title":"geom_sankey\n\nCreates a sankey plot which visualize flows between nodes. Each observation needs to have a `x` aesthetic as well as a `next_x` column which declares where that observation should flow.\nAlso each observation should have a `node` and a `next_node` aesthetic which provide information about which group in the y-direction. By default each row of the data frame is counted to calculate the size of flows. A manual flow value can be added with the `value` aesthetic. — geom_sankey","text":"geom_sankey understand following aesthetics (required aesthetics bold): - **x0** - **y0** - **** - **b** - **angle** - m1 - m2 - color - fill - size - linetype - alpha - lineend","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey_bump.html","id":null,"dir":"Reference","previous_headings":"","what":"geom_sankey_bump — geom_sankey_bump","title":"geom_sankey_bump — geom_sankey_bump","text":"Creates alluvial plot visualize flows nodes. observation needs `x` aesthetic well `next_x` column declares observation flow. Also observation `node` `next_node` aesthetic provide information group y-direction.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey_bump.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"geom_sankey_bump — geom_sankey_bump","text":"","code":"geom_sankey_bump(   mapping = NULL,   data = NULL,   position = \"identity\",   na.rm = FALSE,   show.legend = NA,   smooth = 8,   type = \"sankey\",   inherit.aes = TRUE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey_bump.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"geom_sankey_bump — geom_sankey_bump","text":"mapping provide mapping. x y need numeric. data provide data position change position na.rm remove missing values show.legend show legend plot smooth much smooth curve ? means steeper curve. type either 'sankey' 'alluvial' inherit.aes geom inherits aestethics ... arguments passed geo","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey_bump.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"geom_sankey_bump — geom_sankey_bump","text":"ggplot layer","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey_bump.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"geom_sankey_bump — geom_sankey_bump","text":"important arguments ; `space` proves space nodes y-direction; `shift` shifts nodes y-direction.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey_label.html","id":null,"dir":"Reference","previous_headings":"","what":"geom_sankey_label — geom_sankey_label","title":"geom_sankey_label — geom_sankey_label","text":"Creates centered labels text nodes sankey plot. Needs exact aestethics call `geom_sankey` work.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey_label.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"geom_sankey_label — geom_sankey_label","text":"","code":"geom_sankey_label(   mapping = NULL,   data = NULL,   position = \"identity\",   na.rm = FALSE,   show.legend = NA,   space = NULL,   type = \"sankey\",   width = 0.1,   inherit.aes = TRUE,   ... )  geom_sankey_text(   mapping = NULL,   data = NULL,   position = \"identity\",   na.rm = FALSE,   show.legend = NA,   space = NULL,   type = \"sankey\",   width = 0.1,   inherit.aes = TRUE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey_label.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"geom_sankey_label — geom_sankey_label","text":"mapping provide mapping. x y need numeric. data provide data position change position na.rm remove missing values show.legend show legend plot space space nodes y-direction type Either `sankey` centers aroudn x axis `alluvial` starts y = 0 moves upward. width width nodes inherit.aes geom inherits aestethics ... arguments passed geo","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey_label.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"geom_sankey_label — geom_sankey_label","text":"ggplot layer","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/get_vars.html","id":null,"dir":"Reference","previous_headings":"","what":"Get used vars in a ggplot object — get_vars","title":"Get used vars in a ggplot object — get_vars","text":"Get used vars ggplot object","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/get_vars.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get used vars in a ggplot object — get_vars","text":"","code":"get_vars(p, reverse, verbose = FALSE)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/get_vars.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get used vars in a ggplot object — get_vars","text":"p ggplot object. reverse TRUE return unused vars. verbose Whether print messages.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ifnb_sub.html","id":null,"dir":"Reference","previous_headings":"","what":"A subsetted version of 'ifnb' datasets — ifnb_sub","title":"A subsetted version of 'ifnb' datasets — ifnb_sub","text":"Human PBMC control/IFNB-stimulated dataset","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ifnb_sub.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"A subsetted version of 'ifnb' datasets — ifnb_sub","text":"","code":"ifnb_sub"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ifnb_sub.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"A subsetted version of 'ifnb' datasets — ifnb_sub","text":"Seurat object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ifnb_sub.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"A subsetted version of 'ifnb' datasets — ifnb_sub","text":"https://www.nature.com/articles/nbt.4042","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ifnb_sub.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"A subsetted version of 'ifnb' datasets — ifnb_sub","text":"","code":"if (FALSE) { if (interactive()) {   if (!require(\"SeuratData\", quietly = TRUE)) {     devtools::install_github(\"satijalab/seurat-data\")   }   library(SeuratData)   library(Seurat)   suppressWarnings(InstallData(\"ifnb\"))   data(\"ifnb\")   set.seed(11)   cells_sub <- unlist(lapply(split(colnames(ifnb), ifnb$stim), function(x) sample(x, size = 1000)))   ifnb_sub <- subset(ifnb, cells = cells_sub)   ifnb_sub <- ifnb_sub[rowSums(ifnb_sub@assays$RNA@counts) > 0, ]   ifnb_sub <- UpdateSeuratObject(ifnb_sub)   # usethis::use_data(ifnb_sub, compress = \"xz\") } }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/installed_Python_pkgs.html","id":null,"dir":"Reference","previous_headings":"","what":"Show all the python packages in the environment — installed_Python_pkgs","title":"Show all the python packages in the environment — installed_Python_pkgs","text":"Show python packages environment","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/installed_Python_pkgs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Show all the python packages in the environment — installed_Python_pkgs","text":"","code":"installed_Python_pkgs(envname = NULL, conda = \"auto\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/installed_Python_pkgs.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Show all the python packages in the environment — installed_Python_pkgs","text":"envname name conda environment. conda path conda executable. Use \"auto\" allow SCP automatically find appropriate conda binary.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/invoke.html","id":null,"dir":"Reference","previous_headings":"","what":"Invoke a function with a list of arguments — invoke","title":"Invoke a function with a list of arguments — invoke","text":"Invoke function list arguments","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/invoke.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Invoke a function with a list of arguments — invoke","text":"","code":"invoke(.fn, .args = list(), ..., .env = caller_env())"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/invoke.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Invoke a function with a list of arguments — invoke","text":".fn function, function name string. .args list arguments. .env Environment evaluate call. useful .fn string, function side-effects. arguments passed function.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/isOutlier.html","id":null,"dir":"Reference","previous_headings":"","what":"Detect outliers using MAD(Median and Median Absolute Deviation) method — isOutlier","title":"Detect outliers using MAD(Median and Median Absolute Deviation) method — isOutlier","text":"Detect outliers using MAD(Median Median Absolute Deviation) method","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/isOutlier.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Detect outliers using MAD(Median and Median Absolute Deviation) method — isOutlier","text":"","code":"isOutlier(   x,   nmads = 2.5,   constant = 1.4826,   type = c(\"both\", \"lower\", \"higher\") )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/isOutlier.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Detect outliers using MAD(Median and Median Absolute Deviation) method — isOutlier","text":"type","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/iterchunks.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate a iterator along chunks of a vector — iterchunks","title":"Generate a iterator along chunks of a vector — iterchunks","text":"Generate iterator along chunks vector","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/iterchunks.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate a iterator along chunks of a vector — iterchunks","text":"","code":"iterchunks(x, nchunks)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/iterchunks.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate a iterator along chunks of a vector — iterchunks","text":"x vector. nchunks Number chunks.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/iterchunks.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Generate a iterator along chunks of a vector — iterchunks","text":"","code":"if (FALSE) { library(BiocParallel) x <- 1:100 BPPARAM <- bpparam() bpprogressbar(BPPARAM) <- TRUE bpworkers(BPPARAM) <- 10 slow_fun <- function(x) {   out <- NULL   for (i in seq_along(x)) {     Sys.sleep(0.5)     out[[i]] <- x[[i]] + 3   }   return(out) } system.time({   res0 <- lapply(x, FUN = slow_fun) }) unlist(res0, recursive = FALSE, use.names = FALSE)[71:73] system.time({   res1 <- bplapply(x, FUN = slow_fun, BPPARAM = BPPARAM) }) unlist(res1, recursive = FALSE, use.names = FALSE)[71:73] system.time({   res2 <- bplapply(tochunks(x, nchunks = bpworkers(BPPARAM)), FUN = slow_fun, BPPARAM = BPPARAM) }) unlist(res2, recursive = FALSE, use.names = FALSE)[71:73] system.time({   res3 <- bpiterate(ITER = iterchunks(x, nchunks = bpworkers(BPPARAM)), FUN = slow_fun, BPPARAM = BPPARAM) }) unlist(res3, recursive = FALSE, use.names = FALSE)[71:73] }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/make_long.html","id":null,"dir":"Reference","previous_headings":"","what":"make_long — make_long","title":"make_long — make_long","text":"Prepares 'wide' data frame format `geom_sankey` `geom_alluvial` understands. Useful show flows dimensions dataset.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/make_long.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"make_long — make_long","text":"","code":"make_long(.df, ..., value = NULL)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/make_long.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"make_long — make_long","text":".df data frame ... unquoted columnnames df want include plot. value row weight weight kept providing column name weight.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/make_long.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"make_long — make_long","text":"longer data frame","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/palette_scp.html","id":null,"dir":"Reference","previous_headings":"","what":"Color palettes collected in SCP. — palette_scp","title":"Color palettes collected in SCP. — palette_scp","text":"Color palettes collected SCP.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/palette_scp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Color palettes collected in SCP. — palette_scp","text":"","code":"palette_scp(   x,   n = 100,   palette = \"Paired\",   palcolor = NULL,   type = \"auto\",   matched = FALSE,   reverse = FALSE,   NA_keep = FALSE,   NA_color = \"grey80\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/palette_scp.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Color palettes collected in SCP. — palette_scp","text":"x vector character/factor numeric values. missing, numeric values 1:n used x. n number colors return numeric values. palette Palette name. available palette names can queried show_palettes(). palcolor Custom colors used create color palette. type Type x. Can one \"auto\", \"discrete\" \"continuous\". default \"auto\", automatically detects x numeric value. matched TRUE, return color vector length x. reverse Whether invert colors. NA_keep Whether keep color assignment NA x. NA_color Color assigned NA NA_keep TRUE.","code":""},{"path":[]},{"path":"https://zhanghao-njmu.github.io/SCP/reference/palette_scp.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Color palettes collected in SCP. — palette_scp","text":"","code":"x <- c(1:3, NA, 3:5) (pal1 <- palette_scp(x, palette = \"Spectral\")) #>    [1,1.04] (1.04,1.08] (1.08,1.12] (1.12,1.16]  (1.16,1.2]  (1.2,1.24] (1.24,1.28] (1.28,1.32] (1.32,1.36]  (1.36,1.4]  #>   \"#5E4FA2\"   \"#5954A4\"   \"#555AA7\"   \"#5060AA\"   \"#4C66AC\"   \"#476BAF\"   \"#4371B2\"   \"#3E77B5\"   \"#3A7DB7\"   \"#3682BA\"  #>  (1.4,1.44] (1.44,1.48] (1.48,1.52] (1.52,1.56]  (1.56,1.6]  (1.6,1.64] (1.64,1.68] (1.68,1.72] (1.72,1.76]  (1.76,1.8]  #>   \"#3288BC\"   \"#378EBA\"   \"#3D94B7\"   \"#429AB5\"   \"#47A0B3\"   \"#4CA5B0\"   \"#52ABAE\"   \"#57B1AB\"   \"#5CB7A9\"   \"#61BDA6\"  #>  (1.8,1.84] (1.84,1.88] (1.88,1.92] (1.92,1.96]    (1.96,2]    (2,2.04] (2.04,2.08] (2.08,2.12] (2.12,2.16]  (2.16,2.2]  #>   \"#67C2A4\"   \"#6EC5A4\"   \"#75C8A4\"   \"#7CCAA4\"   \"#83CDA4\"   \"#8AD0A4\"   \"#91D2A4\"   \"#98D5A4\"   \"#9FD8A4\"   \"#A6DBA4\"  #>  (2.2,2.24] (2.24,2.28] (2.28,2.32] (2.32,2.36]  (2.36,2.4]  (2.4,2.44] (2.44,2.48] (2.48,2.52] (2.52,2.56]  (2.56,2.6]  #>   \"#ACDDA3\"   \"#B2E0A2\"   \"#B8E2A1\"   \"#BEE5A0\"   \"#C4E79E\"   \"#CAE99D\"   \"#D0EC9C\"   \"#D6EE9B\"   \"#DCF199\"   \"#E2F398\"  #>  (2.6,2.64] (2.64,2.68] (2.68,2.72] (2.72,2.76]  (2.76,2.8]  (2.8,2.84] (2.84,2.88] (2.88,2.92] (2.92,2.96]    (2.96,3]  #>   \"#E7F599\"   \"#E9F69D\"   \"#ECF7A1\"   \"#EEF8A5\"   \"#F1F9A9\"   \"#F3FAAD\"   \"#F6FBB1\"   \"#F8FCB5\"   \"#FBFDB9\"   \"#FDFEBD\"  #>    (3,3.04] (3.04,3.08] (3.08,3.12] (3.12,3.16]  (3.16,3.2]  (3.2,3.24] (3.24,3.28] (3.28,3.32] (3.32,3.36]  (3.36,3.4]  #>   \"#FEFDBC\"   \"#FEFAB7\"   \"#FEF7B1\"   \"#FEF4AC\"   \"#FEF0A7\"   \"#FEEDA2\"   \"#FEEA9C\"   \"#FEE797\"   \"#FEE492\"   \"#FEE18D\"  #>  (3.4,3.44] (3.44,3.48] (3.48,3.52] (3.52,3.56]  (3.56,3.6]  (3.6,3.64] (3.64,3.68] (3.68,3.72] (3.72,3.76]  (3.76,3.8]  #>   \"#FDDC88\"   \"#FDD784\"   \"#FDD27F\"   \"#FDCD7B\"   \"#FDC877\"   \"#FDC373\"   \"#FDBE6F\"   \"#FDB96A\"   \"#FDB466\"   \"#FDAF62\"  #>  (3.8,3.84] (3.84,3.88] (3.88,3.92] (3.92,3.96]    (3.96,4]    (4,4.04] (4.04,4.08] (4.08,4.12] (4.12,4.16]  (4.16,4.2]  #>   \"#FCA95E\"   \"#FBA25B\"   \"#FA9C58\"   \"#F99555\"   \"#F88F52\"   \"#F7884F\"   \"#F6824C\"   \"#F67B49\"   \"#F57446\"   \"#F46E43\"  #>  (4.2,4.24] (4.24,4.28] (4.28,4.32] (4.32,4.36]  (4.36,4.4]  (4.4,4.44] (4.44,4.48] (4.48,4.52] (4.52,4.56]  (4.56,4.6]  #>   \"#F16943\"   \"#EE6445\"   \"#EB5F46\"   \"#E85A47\"   \"#E45648\"   \"#E1514A\"   \"#DE4C4B\"   \"#DB474C\"   \"#D8434D\"   \"#D53E4E\"  #>  (4.6,4.64] (4.64,4.68] (4.68,4.72] (4.72,4.76]  (4.76,4.8]  (4.8,4.84] (4.84,4.88] (4.88,4.92] (4.92,4.96]    (4.96,5]  #>   \"#CF384D\"   \"#CA324C\"   \"#C42C4B\"   \"#BF2549\"   \"#B91F48\"   \"#B41947\"   \"#AE1345\"   \"#A90D44\"   \"#A30743\"   \"#9E0142\"  (pal2 <- palette_scp(x, palcolor = c(\"red\", \"white\", \"blue\"))) #>    [1,1.04] (1.04,1.08] (1.08,1.12] (1.12,1.16]  (1.16,1.2]  (1.2,1.24] (1.24,1.28] (1.28,1.32] (1.32,1.36]  (1.36,1.4]  #>   \"#FF0000\"   \"#FF0505\"   \"#FF0A0A\"   \"#FF0F0F\"   \"#FF1414\"   \"#FF1919\"   \"#FF1E1E\"   \"#FF2424\"   \"#FF2929\"   \"#FF2E2E\"  #>  (1.4,1.44] (1.44,1.48] (1.48,1.52] (1.52,1.56]  (1.56,1.6]  (1.6,1.64] (1.64,1.68] (1.68,1.72] (1.72,1.76]  (1.76,1.8]  #>   \"#FF3333\"   \"#FF3838\"   \"#FF3D3D\"   \"#FF4242\"   \"#FF4848\"   \"#FF4D4D\"   \"#FF5252\"   \"#FF5757\"   \"#FF5C5C\"   \"#FF6161\"  #>  (1.8,1.84] (1.84,1.88] (1.88,1.92] (1.92,1.96]    (1.96,2]    (2,2.04] (2.04,2.08] (2.08,2.12] (2.12,2.16]  (2.16,2.2]  #>   \"#FF6767\"   \"#FF6C6C\"   \"#FF7171\"   \"#FF7676\"   \"#FF7B7B\"   \"#FF8080\"   \"#FF8585\"   \"#FF8B8B\"   \"#FF9090\"   \"#FF9595\"  #>  (2.2,2.24] (2.24,2.28] (2.28,2.32] (2.32,2.36]  (2.36,2.4]  (2.4,2.44] (2.44,2.48] (2.48,2.52] (2.52,2.56]  (2.56,2.6]  #>   \"#FF9A9A\"   \"#FF9F9F\"   \"#FFA4A4\"   \"#FFAAAA\"   \"#FFAFAF\"   \"#FFB4B4\"   \"#FFB9B9\"   \"#FFBEBE\"   \"#FFC3C3\"   \"#FFC8C8\"  #>  (2.6,2.64] (2.64,2.68] (2.68,2.72] (2.72,2.76]  (2.76,2.8]  (2.8,2.84] (2.84,2.88] (2.88,2.92] (2.92,2.96]    (2.96,3]  #>   \"#FFCECE\"   \"#FFD3D3\"   \"#FFD8D8\"   \"#FFDDDD\"   \"#FFE2E2\"   \"#FFE7E7\"   \"#FFECEC\"   \"#FFF2F2\"   \"#FFF7F7\"   \"#FFFCFC\"  #>    (3,3.04] (3.04,3.08] (3.08,3.12] (3.12,3.16]  (3.16,3.2]  (3.2,3.24] (3.24,3.28] (3.28,3.32] (3.32,3.36]  (3.36,3.4]  #>   \"#FCFCFF\"   \"#F7F7FF\"   \"#F2F2FF\"   \"#ECECFF\"   \"#E7E7FF\"   \"#E2E2FF\"   \"#DDDDFF\"   \"#D8D8FF\"   \"#D3D3FF\"   \"#CECEFF\"  #>  (3.4,3.44] (3.44,3.48] (3.48,3.52] (3.52,3.56]  (3.56,3.6]  (3.6,3.64] (3.64,3.68] (3.68,3.72] (3.72,3.76]  (3.76,3.8]  #>   \"#C8C8FF\"   \"#C3C3FF\"   \"#BEBEFF\"   \"#B9B9FF\"   \"#B4B4FF\"   \"#AFAFFF\"   \"#A9A9FF\"   \"#A4A4FF\"   \"#9F9FFF\"   \"#9A9AFF\"  #>  (3.8,3.84] (3.84,3.88] (3.88,3.92] (3.92,3.96]    (3.96,4]    (4,4.04] (4.04,4.08] (4.08,4.12] (4.12,4.16]  (4.16,4.2]  #>   \"#9595FF\"   \"#9090FF\"   \"#8B8BFF\"   \"#8585FF\"   \"#8080FF\"   \"#7B7BFF\"   \"#7676FF\"   \"#7171FF\"   \"#6C6CFF\"   \"#6767FF\"  #>  (4.2,4.24] (4.24,4.28] (4.28,4.32] (4.32,4.36]  (4.36,4.4]  (4.4,4.44] (4.44,4.48] (4.48,4.52] (4.52,4.56]  (4.56,4.6]  #>   \"#6161FF\"   \"#5C5CFF\"   \"#5757FF\"   \"#5252FF\"   \"#4D4DFF\"   \"#4848FF\"   \"#4242FF\"   \"#3D3DFF\"   \"#3838FF\"   \"#3333FF\"  #>  (4.6,4.64] (4.64,4.68] (4.68,4.72] (4.72,4.76]  (4.76,4.8]  (4.8,4.84] (4.84,4.88] (4.88,4.92] (4.92,4.96]    (4.96,5]  #>   \"#2E2EFF\"   \"#2929FF\"   \"#2424FF\"   \"#1E1EFF\"   \"#1919FF\"   \"#1414FF\"   \"#0F0FFF\"   \"#0A0AFF\"   \"#0505FF\"   \"#0000FF\"  (pal3 <- palette_scp(x, palette = \"Spectral\", n = 10)) #>   [1,1.4] (1.4,1.8] (1.8,2.2] (2.2,2.6]   (2.6,3]   (3,3.4] (3.4,3.8] (3.8,4.2] (4.2,4.6]   (4.6,5]  #> \"#5E4FA2\" \"#3288BD\" \"#66C2A5\" \"#ABDDA4\" \"#E6F598\" \"#FFFFBF\" \"#FEE08B\" \"#FDAE61\" \"#F46D43\" \"#D53E4F\"  (pal4 <- palette_scp(x, palette = \"Spectral\", n = 10, reverse = TRUE)) #>   (4.6,5] (4.2,4.6] (3.8,4.2] (3.4,3.8]   (3,3.4]   (2.6,3] (2.2,2.6] (1.8,2.2] (1.4,1.8]   [1,1.4]  #> \"#D53E4F\" \"#F46D43\" \"#FDAE61\" \"#FEE08B\" \"#FFFFBF\" \"#E6F598\" \"#ABDDA4\" \"#66C2A5\" \"#3288BD\" \"#5E4FA2\"  (pal5 <- palette_scp(x, palette = \"Spectral\", matched = TRUE)) #>  [1,1.04]  (1.96,2]  (2.96,3]        (2.96,3]  (3.96,4]  (4.96,5]  #> \"#5E4FA2\" \"#83CDA4\" \"#FDFEBD\"        NA \"#FDFEBD\" \"#F88F52\" \"#9E0142\"  (pal6 <- palette_scp(x, palette = \"Spectral\", matched = TRUE, NA_keep = TRUE)) #>  [1,1.04]  (1.96,2]  (2.96,3]        (2.96,3]  (3.96,4]  (4.96,5]  #> \"#5E4FA2\" \"#83CDA4\" \"#FDFEBD\"  \"grey80\" \"#FDFEBD\" \"#F88F52\" \"#9E0142\"  (pal7 <- palette_scp(x, palette = \"Paired\", type = \"discrete\")) #>         1         2         3         4         5  #> \"#A6CEE3\" \"#1F78B4\" \"#B2DF8A\" \"#33A02C\" \"#FDBF6F\"  show_palettes(list(pal1, pal2, pal3, pal4, pal5, pal6, pal7))  #> [1] \"1\" \"2\" \"3\" \"4\" \"5\" \"6\" \"7\"  all_palettes <- show_palettes(return_palettes = TRUE)  names(all_palettes) #>   [1] \"BrBG\"                   \"PiYG\"                   \"PRGn\"                   \"PuOr\"                   #>   [5] \"RdBu\"                   \"RdGy\"                   \"RdYlBu\"                 \"RdYlGn\"                 #>   [9] \"Spectral\"               \"Accent\"                 \"Dark2\"                  \"Paired\"                 #>  [13] \"Pastel1\"                \"Pastel2\"                \"Set1\"                   \"Set2\"                   #>  [17] \"Set3\"                   \"Blues\"                  \"BuGn\"                   \"BuPu\"                   #>  [21] \"GnBu\"                   \"Greens\"                 \"Greys\"                  \"Oranges\"                #>  [25] \"OrRd\"                   \"PuBu\"                   \"PuBuGn\"                 \"PuRd\"                   #>  [29] \"Purples\"                \"RdPu\"                   \"Reds\"                   \"YlGn\"                   #>  [33] \"YlGnBu\"                 \"YlOrBr\"                 \"YlOrRd\"                 \"npg\"                    #>  [37] \"aaas\"                   \"nejm\"                   \"lancet\"                 \"jama\"                   #>  [41] \"jco\"                    \"ucscgb\"                 \"d3-category10\"          \"d3-category20\"          #>  [45] \"d3-category20b\"         \"d3-category20c\"         \"igv\"                    \"locuszoom\"              #>  [49] \"uchicago-default\"       \"uchicago-light\"         \"uchicago-dark\"          \"cosmic\"                 #>  [53] \"simpsons\"               \"futurama\"               \"rickandmorty\"           \"startrek\"               #>  [57] \"tron\"                   \"frontiers\"              \"flatui\"                 \"gsea\"                   #>  [61] \"material-red\"           \"material-pink\"          \"material-purple\"        \"material-deep-purple\"   #>  [65] \"material-indigo\"        \"material-blue\"          \"material-light-blue\"    \"material-cyan\"          #>  [69] \"material-teal\"          \"material-green\"         \"material-light-green\"   \"material-lime\"          #>  [73] \"material-yellow\"        \"material-amber\"         \"material-orange\"        \"material-deep-orange\"   #>  [77] \"material-brown\"         \"material-grey\"          \"material-blue-grey\"     \"dPBIYlBu\"               #>  [81] \"dPBIYlPu\"               \"dPBIPuGn\"               \"dPBIPuOr\"               \"dPBIRdBu\"               #>  [85] \"dPBIRdGy\"               \"dPBIRdGn\"               \"qMSOStd\"                \"qMSO12\"                 #>  [89] \"qMSO15\"                 \"qMSOBuWarm\"             \"qMSOBu\"                 \"qMSOBu2\"                #>  [93] \"qMSOBuGn\"               \"qMSOGn\"                 \"qMSOGnYl\"               \"qMSOYl\"                 #>  [97] \"qMSOYlOr\"               \"qMSOOr\"                 \"qMSOOrRd\"               \"qMSORdOr\"               #> [101] \"qMSORd\"                 \"qMSORdPu\"               \"qMSOPu\"                 \"qMSOPu2\"                #> [105] \"qMSOMed\"                \"qMSOPap\"                \"qMSOMrq\"                \"qMSOSlp\"                #> [109] \"qMSOAsp\"                \"qPBI\"                   \"sPBIGn\"                 \"sPBIGy1\"                #> [113] \"sPBIRd\"                 \"sPBIYl\"                 \"sPBIGy2\"                \"sPBIBu\"                 #> [117] \"sPBIOr\"                 \"sPBIPu\"                 \"sPBIYlGn\"               \"sPBIRdPu\"               #> [121] \"ag_GrnYl\"               \"ag_Sunset\"              \"ArmyRose\"               \"Earth\"                  #> [125] \"Fall\"                   \"Geyser\"                 \"TealRose\"               \"Temps\"                  #> [129] \"Tropic\"                 \"Antique\"                \"Bold\"                   \"Pastel\"                 #> [133] \"Prism\"                  \"Safe\"                   \"Vivid\"                  \"BluGrn\"                 #> [137] \"BluYl\"                  \"BrwnYl\"                 \"Burg\"                   \"BurgYl\"                 #> [141] \"DarkMint\"               \"Emrld\"                  \"Magenta\"                \"Mint\"                   #> [145] \"OrYel\"                  \"Peach\"                  \"PinkYl\"                 \"Purp\"                   #> [149] \"PurpOr\"                 \"RedOr\"                  \"Sunset\"                 \"SunsetDark\"             #> [153] \"Teal\"                   \"TealGrn\"                \"polarnight\"             \"snowstorm\"              #> [157] \"frost\"                  \"aurora\"                 \"lumina\"                 \"mountain_forms\"         #> [161] \"silver_mine\"            \"lake_superior\"          \"victory_bonds\"          \"halifax_harbor\"         #> [165] \"moose_pond\"             \"algoma_forest\"          \"rocky_mountain\"         \"red_mountain\"           #> [169] \"baie_mouton\"            \"afternoon_prarie\"       \"magma\"                  \"inferno\"                #> [173] \"plasma\"                 \"viridis\"                \"cividis\"                \"rocket\"                 #> [177] \"mako\"                   \"turbo\"                  \"ocean.algae\"            \"ocean.deep\"             #> [181] \"ocean.dense\"            \"ocean.gray\"             \"ocean.haline\"           \"ocean.ice\"              #> [185] \"ocean.matter\"           \"ocean.oxy\"              \"ocean.phase\"            \"ocean.solar\"            #> [189] \"ocean.thermal\"          \"ocean.turbid\"           \"ocean.balance\"          \"ocean.curl\"             #> [193] \"ocean.delta\"            \"ocean.amp\"              \"ocean.speed\"            \"ocean.tempo\"            #> [197] \"BrowntoBlue.10\"         \"BrowntoBlue.12\"         \"BluetoDarkOrange.12\"    \"BluetoDarkOrange.18\"    #> [201] \"DarkRedtoBlue.12\"       \"DarkRedtoBlue.18\"       \"BluetoGreen.14\"         \"BluetoGray.8\"           #> [205] \"BluetoOrangeRed.14\"     \"BluetoOrange.10\"        \"BluetoOrange.12\"        \"BluetoOrange.8\"         #> [209] \"LightBluetoDarkBlue.10\" \"LightBluetoDarkBlue.7\"  \"Categorical.12\"         \"GreentoMagenta.16\"      #> [213] \"SteppedSequential.5\"    \"jcolors-default\"        \"jcolors-pal2\"           \"jcolors-pal3\"           #> [217] \"jcolors-pal4\"           \"jcolors-pal5\"           \"jcolors-pal6\"           \"jcolors-pal7\"           #> [221] \"jcolors-pal8\"           \"jcolors-pal9\"           \"jcolors-pal10\"          \"jcolors-pal11\"          #> [225] \"jcolors-pal12\"          \"jcolors-rainbow\"        \"jet\"                    \"simspec\"                #> [229] \"GdRd\"                    if (FALSE) { if (interactive()) {   check_R(c(\"stringr\", \"RColorBrewer\", \"ggsci\", \"Redmonder\", \"rcartocolor\", \"nord\", \"viridis\", \"pals\", \"oompaBase\", \"dichromat\", \"jaredhuling/jcolors\"))   library(stringr)   library(RColorBrewer)   library(ggsci)   library(Redmonder)   library(rcartocolor)   library(nord)   library(viridis)   library(pals)   library(dichromat)   library(jcolors)   brewer.pal.info <- RColorBrewer::brewer.pal.info   ggsci_db <- ggsci:::ggsci_db   redmonder.pal.info <- Redmonder::redmonder.pal.info   metacartocolors <- rcartocolor::metacartocolors   rownames(metacartocolors) <- metacartocolors$Name   nord_palettes <- nord::nord_palettes   viridis_names <- c(\"magma\", \"inferno\", \"plasma\", \"viridis\", \"cividis\", \"rocket\", \"mako\", \"turbo\")   viridis_palettes <- lapply(setNames(viridis_names, viridis_names), function(x) viridis::viridis(100, option = x))   ocean_names <- names(pals:::syspals)[grep(\"ocean\", names(pals:::syspals))]   ocean_palettes <- pals:::syspals[ocean_names]   dichromat_palettes <- dichromat::colorschemes   jcolors_names <- paste0(\"jcolors-\", c(\"default\", \"pal2\", \"pal3\", \"pal4\", \"pal5\", \"pal6\", \"pal7\", \"pal8\", \"pal9\", \"pal10\", \"pal11\", \"pal12\", \"rainbow\"))   custom_names <- c(\"jet\", \"simspec\", \"GdRd\")   custom_palettes <- list(     oompaBase::jetColors(N = 100),     c(\"#c22b86\", \"#f769a1\", \"#fcc5c1\", \"#253777\", \"#1d92c0\", \"#9ec9e1\", \"#015b33\", \"#42aa5e\", \"#d9f0a2\", \"#E66F00\", \"#f18c28\", \"#FFBB61\"),     c(\"gold\", \"red3\")   )   names(custom_palettes) <- custom_names    palette_list <- list()   all_colors <- c(     rownames(brewer.pal.info), names(ggsci_db), rownames(redmonder.pal.info),     rownames(metacartocolors), names(nord_palettes), names(viridis_palettes),     ocean_names, names(dichromat_palettes), jcolors_names,     custom_names   )   for (pal in all_colors) {     if (!pal %in% all_colors) {       stop(paste0(\"Invalid pal Must be one of \", paste0(all_colors, collapse = \",\")))     }     if (pal %in% rownames(brewer.pal.info)) {       pal_n <- brewer.pal.info[pal, \"maxcolors\"]       pal_category <- brewer.pal.info[pal, \"category\"]       if (pal_category == \"div\") {         palcolor <- rev(brewer.pal(name = pal, n = pal_n))       } else {         if (pal == \"Paired\") {           palcolor <- brewer.pal(12, \"Paired\")[c(1:4, 7, 8, 5, 6, 9, 10, 11, 12)]         } else {           palcolor <- brewer.pal(name = pal, n = pal_n)         }       }       if (pal_category == \"qual\") {         attr(palcolor, \"type\") <- \"discrete\"       } else {         attr(palcolor, \"type\") <- \"continuous\"       }     } else if (pal %in% names(ggsci_db)) {       if (pal %in% c(\"d3\", \"uchicago\", \"material\")) {         for (subpal in names(ggsci_db[[pal]])) {           palcolor <- ggsci_db[[pal]][[subpal]]           if (pal == \"material\") {             attr(palcolor, \"type\") <- \"continuous\"           } else {             attr(palcolor, \"type\") <- \"discrete\"           }           palette_list[[paste0(pal, \"-\", subpal)]] <- palcolor         }         next       } else {         palcolor <- ggsci_db[[pal]][[1]]         if (pal == \"gsea\") {           attr(palcolor, \"type\") <- \"continuous\"         } else {           attr(palcolor, \"type\") <- \"discrete\"         }       }     } else if (pal %in% rownames(redmonder.pal.info)) {       pal_n <- redmonder.pal.info[pal, \"maxcolors\"]       pal_category <- redmonder.pal.info[pal, \"category\"]       if (pal_category == \"div\") {         palcolor <- rev(redmonder.pal(name = pal, n = pal_n))       } else {         palcolor <- redmonder.pal(name = pal, n = pal_n)       }       if (pal_category == \"qual\") {         attr(palcolor, \"type\") <- \"discrete\"       } else {         attr(palcolor, \"type\") <- \"continuous\"       }     } else if (pal %in% rownames(metacartocolors)) {       pal_n <- metacartocolors[pal, \"Max_n\"]       palcolor <- carto_pal(name = pal, n = pal_n)       if (pal_category == \"qualitative\") {         attr(palcolor, \"type\") <- \"discrete\"       } else {         attr(palcolor, \"type\") <- \"continuous\"       }     } else if (pal %in% names(nord_palettes)) {       palcolor <- nord_palettes[[pal]]       attr(palcolor, \"type\") <- \"discrete\"     } else if (pal %in% names(viridis_palettes)) {       palcolor <- viridis_palettes[[pal]]       attr(palcolor, \"type\") <- \"continuous\"     } else if (pal %in% names(ocean_palettes)) {       palcolor <- ocean_palettes[[pal]]       attr(palcolor, \"type\") <- \"continuous\"     } else if (pal %in% names(dichromat_palettes)) {       palcolor <- dichromat_palettes[[pal]]       if (pal %in% c(\"Categorical.12\", \"SteppedSequential.5\")) {         attr(palcolor, \"type\") <- \"discrete\"       } else {         attr(palcolor, \"type\") <- \"continuous\"       }     } else if (pal %in% jcolors_names) {       palcolor <- jcolors(palette = gsub(\"jcolors-\", \"\", pal))       if (pal %in% paste0(\"jcolors-\", c(\"pal10\", \"pal11\", \"pal12\", \"rainbow\"))) {         attr(palcolor, \"type\") <- \"continuous\"       } else {         attr(palcolor, \"type\") <- \"discrete\"       }     } else if (pal %in% custom_names) {       palcolor <- custom_palettes[[pal]]       if (pal %in% c(\"jet\")) {         attr(palcolor, \"type\") <- \"continuous\"       } else {         attr(palcolor, \"type\") <- \"discrete\"       }     }     palette_list[[pal]] <- palcolor   }   # usethis::use_data(palette_list, internal = TRUE) } }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panc8_sub.html","id":null,"dir":"Reference","previous_headings":"","what":"A subsetted version of human 'panc8' datasets — panc8_sub","title":"A subsetted version of human 'panc8' datasets — panc8_sub","text":"Human pancreatic islet cell datasets produced across four technologies, CelSeq (GSE81076) CelSeq2 (GSE85241), Fluidigm C1 (GSE86469), SMART-Seq2 (E-MTAB-5061) SeuratData package. data set `panc8`, 200 cells downsampled form panc8_sub dataset.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panc8_sub.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"A subsetted version of human 'panc8' datasets — panc8_sub","text":"","code":"panc8_sub"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panc8_sub.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"A subsetted version of human 'panc8' datasets — panc8_sub","text":"Seurat object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panc8_sub.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"A subsetted version of human 'panc8' datasets — panc8_sub","text":"https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE81076 https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi https://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-5061/ https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panc8_sub.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"A subsetted version of human 'panc8' datasets — panc8_sub","text":"","code":"if (FALSE) { if (interactive()) {   data(\"pancreas_sub\")   if (!require(\"SeuratData\", quietly = TRUE)) {     devtools::install_github(\"satijalab/seurat-data\")   }   library(SeuratData)   library(Seurat)   suppressWarnings(InstallData(\"panc8\"))   data(\"panc8\")   set.seed(11)   cells_sub <- unlist(lapply(split(colnames(panc8), panc8$dataset), function(x) sample(x, size = 200)))   panc8_sub <- subset(panc8, cells = cells_sub)   panc8_sub <- panc8_sub[rowSums(panc8_sub@assays$RNA@counts) > 0, ]   panc8_sub <- panc8_sub[toupper(rownames(panc8_sub)) %in% toupper(rownames(pancreas_sub)), ]   panc8_sub <- UpdateSeuratObject(panc8_sub)   # usethis::use_data(panc8_sub, compress = \"xz\") } }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/pancreas_sub.html","id":null,"dir":"Reference","previous_headings":"","what":"A subsetted version of mouse 'pancreas' datasets — pancreas_sub","title":"A subsetted version of mouse 'pancreas' datasets — pancreas_sub","text":"Mouse pancreatic endocrinogenesis dataset Bastidas-Ponce et al. (2019). total 1000 cells downsampled form pancreas_sub dataset.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/pancreas_sub.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"A subsetted version of mouse 'pancreas' datasets — pancreas_sub","text":"","code":"pancreas_sub"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/pancreas_sub.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"A subsetted version of mouse 'pancreas' datasets — pancreas_sub","text":"Seurat object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/pancreas_sub.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"A subsetted version of mouse 'pancreas' datasets — pancreas_sub","text":"https://scvelo.readthedocs.io/scvelo.datasets.pancreas/ https://github.com/theislab/scvelo_notebooks/raw/master/data/Pancreas/endocrinogenesis_day15.h5ad","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/pancreas_sub.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"A subsetted version of mouse 'pancreas' datasets — pancreas_sub","text":"","code":"if (FALSE) { if (interactive()) {   library(Seurat)   library(reticulate)   check_Python(\"scvelo\")   scv <- import(\"scvelo\")   adata <- scv$datasets$pancreas()   pancreas <- adata_to_srt(adata)   set.seed(11)   pancreas_sub <- subset(pancreas, cells = sample(colnames(pancreas), size = 1000))   pancreas_sub <- pancreas_sub[rowSums(pancreas_sub@assays$RNA@counts) > 0, ]   pancreas_sub[[\"CellType\"]] <- pancreas_sub[[\"clusters_coarse\"]]   pancreas_sub[[\"SubCellType\"]] <- pancreas_sub[[\"clusters\"]]   pancreas_sub[[\"clusters_coarse\"]] <- pancreas_sub[[\"clusters\"]] <- NULL   pancreas_sub[[\"Phase\"]] <- ifelse(pancreas_sub$S_score > pancreas_sub$G2M_score, \"S\", \"G2M\")   pancreas_sub[[\"Phase\"]][apply(pancreas_sub[[]][, c(\"S_score\", \"G2M_score\")], 1, max) < 0, ] <- \"G1\"   pancreas_sub[[\"Phase\", drop = TRUE]] <- factor(pancreas_sub[[\"Phase\", drop = TRUE]], levels = c(\"G1\", \"S\", \"G2M\"))   pancreas_sub[[\"PCA\"]] <- pancreas_sub[[\"X_pca\"]]   pancreas_sub[[\"UMAP\"]] <- pancreas_sub[[\"X_umap\"]]   pancreas_sub[[\"X_umap\"]] <- pancreas_sub[[\"X_pca\"]] <- NULL   VariableFeatures(pancreas_sub) <- rownames(pancreas_sub[[\"RNA\"]])[which(pancreas_sub[[\"RNA\"]]@meta.features$highly_variable_genes == \"True\")]   # usethis::use_data(pancreas_sub, compress = \"xz\") } }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panel_fix.html","id":null,"dir":"Reference","previous_headings":"","what":"Set the panel width/height of a plot object to a fixed value. — panel_fix","title":"Set the panel width/height of a plot object to a fixed value. — panel_fix","text":"ggplot object, stored, can specify height width entire plot, panel. latter obviously important control final result plot. function can set panel width/height plot fixed value rasterize .","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panel_fix.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set the panel width/height of a plot object to a fixed value. — panel_fix","text":"","code":"panel_fix(   x = NULL,   panel_index = NULL,   respect = NULL,   width = NULL,   height = NULL,   margin = 1,   padding = 0,   units = \"in\",   raster = FALSE,   dpi = 300,   BPPARAM = BiocParallel::SerialParam(),   return_grob = FALSE,   bg_color = \"white\",   save = NULL,   verbose = FALSE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panel_fix.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set the panel width/height of a plot object to a fixed value. — panel_fix","text":"x ggplot object, grob object, combined plot made patchwork cowplot package. panel_index Specify panel fixed. NULL, fix panels. respect logical, indicates whether row heights column widths respect . width width panel. height height panel. margin Margins around plot. units units height, width margin given. Can mm, cm, , etc. See unit. raster Whether rasterize panel. dpi Plot resolution. BPPARAM BiocParallelParam instance determining parallel back-end used building object made patchwork package. return_grob TRUE return grob object instead wrapped patchwork object. bg_color Plot background color. save NULL file name used save plot. verbose Whether print messages. ...","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panel_fix.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set the panel width/height of a plot object to a fixed value. — panel_fix","text":"","code":"library(ggplot2) p <- ggplot(data = mtcars, aes(x = mpg, y = wt, colour = cyl)) +   geom_point() +   facet_wrap(~gear, nrow = 2) # fix the size of panel panel_fix(p, width = 5, height = 3, units = \"cm\")  # rasterize the panel panel_fix(p, width = 5, height = 3, units = \"cm\", raster = TRUE, dpi = 30)   # panel_fix will build and render the plot when the input is a ggplot object. # so after panel_fix, the size of the object will be changed. object.size(p) #> 13984 bytes object.size(panel_fix(p, width = 5, height = 3, units = \"cm\")) #> 1398888 bytes  ## save the plot with appropriate size # p_fix <- panel_fix(p, width = 5, height = 3, units = \"cm\") # plot_size <- attr(p_fix, \"size\") # ggsave( #   filename = \"p_fix.png\", plot = p_fix, #   units = plot_size$units, width = plot_size$width, height = plot_size$height # ) ## or save the plot directly # p_fix <- panel_fix(p, width = 5, height = 3, units = \"cm\", save = \"p_fix.png\")  # fix the panel of the plot combined by patchwork data(\"pancreas_sub\") p1 <- CellDimPlot(pancreas_sub, \"Phase\", aspect.ratio = 1) # ggplot object p2 <- FeatureDimPlot(pancreas_sub, \"Ins1\", aspect.ratio = 0.5) # ggplot object p <- p1 / p2 # plot is combined by patchwork # fix the panel size for each plot, the width will be calculated automatically based on aspect.ratio panel_fix(p, height = 1)   # fix the panel of the plot combined by plot_grid library(cowplot) #>  #> Attaching package: ‘cowplot’ #> The following object is masked from ‘package:ggpubr’: #>  #>     get_legend p1 <- CellDimPlot(pancreas_sub, c(\"Phase\", \"SubCellType\"), label = TRUE) # plot is combined by patchwork p2 <- FeatureDimPlot(pancreas_sub, c(\"Ins1\", \"Gcg\"), label = TRUE) # plot is combined by patchwork p <- plot_grid(p1, p2, nrow = 2) # plot is combined by plot_grid # fix the size of panel for each plot panel_fix(p, height = 1)  # rasterize the panel while keeping all labels and text in vector format panel_fix(p, height = 1, raster = TRUE, dpi = 30)   # fix the panel of the heatmap ht1 <- GroupHeatmap(pancreas_sub,   features = c(     \"Sox9\", \"Anxa2\", \"Bicc1\", # Ductal     \"Neurog3\", \"Hes6\", # EPs     \"Fev\", \"Neurod1\", # Pre-endocrine     \"Rbp4\", \"Pyy\", # Endocrine     \"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\" # Beta, Alpha, Delta, Epsilon   ),   group.by = c(\"CellType\", \"SubCellType\"),   show_row_names = TRUE ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. # the size of the heatmap is not fixed and can be resized by zooming the viewport. ht1$plot  # fix the size of the heatmap according the current viewport panel_fix(ht1$plot)  # rasterize the heatmap body panel_fix(ht1$plot, raster = TRUE, dpi = 30)  # fix the size of overall heatmap including annotation and legend panel_fix(ht1$plot, height = 4, width = 6)   ht2 <- GroupHeatmap(pancreas_sub,   features = pancreas_sub[[\"RNA\"]]@var.features,   group.by = \"SubCellType\",   n_split = 5, nlabel = 20,   db = \"GO_BP\", species = \"Mus_musculus\", anno_terms = TRUE,   height = 4, width = 1 # Heatmap body size for two groups ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> [2023-09-01 06:38:50.540295] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-01 05:12:05.52538 #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-01 06:39:55.273562] Enrichment done #> Elapsed time:1.08 mins #> The size of the heatmap will be fixed as some elements are not scalable. # the size of the heatmap is already fixed ht2$plot  # when no height/width is specified, panel_fix does not change the size of the heatmap. panel_fix(ht2$plot)  # rasterize the heatmap body panel_fix(ht2$plot, raster = TRUE, dpi = 30)  # however, gene labels on the left and enrichment annotations on the right cannot be adjusted panel_fix(ht2$plot, height = 5, width = 10)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panel_fix_single.html","id":null,"dir":"Reference","previous_headings":"","what":"Fix the width/height of panels in a single plot object. — panel_fix_single","title":"Fix the width/height of panels in a single plot object. — panel_fix_single","text":"Fix width/height panels single plot object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panel_fix_single.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fix the width/height of panels in a single plot object. — panel_fix_single","text":"","code":"panel_fix_single(   x,   panel_index = NULL,   respect = NULL,   width = NULL,   height = NULL,   margin = 1,   units = \"in\",   raster = FALSE,   dpi = 300,   BPPARAM = BiocParallel::SerialParam(),   return_grob = FALSE,   bg_color = \"white\",   save = NULL,   verbose = TRUE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panel_fix_single.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fix the width/height of panels in a single plot object. — panel_fix_single","text":"x ggplot object, grob object, combined plot made patchwork cowplot package. panel_index Specify panel fixed. NULL, fix panels. respect logical, indicates whether row heights column widths respect . width width panel. height height panel. margin Margins around plot. units units height, width margin given. Can mm, cm, , etc. See unit. raster Whether rasterize panel. dpi Plot resolution. BPPARAM BiocParallelParam instance determining parallel back-end used building object made patchwork package. return_grob TRUE return grob object instead wrapped patchwork object. bg_color Plot background color. save NULL file name used save plot. verbose Whether print messages.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/scVI_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"scVI_integrate — scVI_integrate","title":"scVI_integrate — scVI_integrate","text":"scVI_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/scVI_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"scVI_integrate — scVI_integrate","text":"","code":"scVI_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   scVI_dims_use = NULL,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   model = \"SCVI\",   SCVI_params = list(),   PEAKVI_params = list(),   num_threads = 8,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/scVI_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"scVI_integrate — scVI_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/segementsDf.html","id":null,"dir":"Reference","previous_headings":"","what":"Shorten and offset the segment — segementsDf","title":"Shorten and offset the segment — segementsDf","text":"Shorten offset segment","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/segementsDf.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Shorten and offset the segment — segementsDf","text":"","code":"segementsDf(data, shorten_start, shorten_end, offset)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/segementsDf.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Shorten and offset the segment — segementsDf","text":"offset","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/segementsDf.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Shorten and offset the segment — segementsDf","text":"","code":"library(ggplot2) tempNodes <- data.frame(\"x\" = c(10, 40), \"y\" = c(10, 30)) data <- data.frame(\"x\" = c(10, 40), \"y\" = c(10, 30), \"xend\" = c(40, 10), \"yend\" = c(30, 10)) ggplot(tempNodes, aes(x = x, y = y)) +   geom_point(size = 12) +   xlim(0, 50) +   ylim(0, 50) +   geom_segment(data = data, aes(x = x, xend = xend, y = y, yend = yend))   ggplot(tempNodes, aes(x = x, y = y)) +   geom_point(size = 12) +   xlim(0, 50) +   ylim(0, 50) +   geom_segment(     data = segementsDf(data, shorten_start = 2, shorten_end = 3, offset = 1),     aes(x = x, xend = xend, y = y, yend = yend)   )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/show_palettes.html","id":null,"dir":"Reference","previous_headings":"","what":"Show the color palettes — show_palettes","title":"Show the color palettes — show_palettes","text":"Show color palettes","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/show_palettes.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Show the color palettes — show_palettes","text":"","code":"show_palettes(   palettes = NULL,   type = c(\"discrete\", \"continuous\"),   index = NULL,   palette_names = NULL,   return_names = TRUE,   return_palettes = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/show_palettes.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Show the color palettes — show_palettes","text":"palettes list custom color palettes shown. type Specifies type color palettes collected SCP. index index palette SCP palette list. NULL, show palettes collected SCP. palette_names Specifies name color palettes collected SCP. return_names Whether return palette names. return_palettes Whether return palettes.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/show_palettes.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Show the color palettes — show_palettes","text":"","code":"show_palettes(palettes = list(c(\"red\", \"blue\", \"green\"), c(\"yellow\", \"purple\", \"orange\")))  #> [1] \"1\" \"2\" all_palettes <- show_palettes(return_palettes = TRUE)  names(all_palettes) #>   [1] \"BrBG\"                   \"PiYG\"                   \"PRGn\"                   \"PuOr\"                   #>   [5] \"RdBu\"                   \"RdGy\"                   \"RdYlBu\"                 \"RdYlGn\"                 #>   [9] \"Spectral\"               \"Accent\"                 \"Dark2\"                  \"Paired\"                 #>  [13] \"Pastel1\"                \"Pastel2\"                \"Set1\"                   \"Set2\"                   #>  [17] \"Set3\"                   \"Blues\"                  \"BuGn\"                   \"BuPu\"                   #>  [21] \"GnBu\"                   \"Greens\"                 \"Greys\"                  \"Oranges\"                #>  [25] \"OrRd\"                   \"PuBu\"                   \"PuBuGn\"                 \"PuRd\"                   #>  [29] \"Purples\"                \"RdPu\"                   \"Reds\"                   \"YlGn\"                   #>  [33] \"YlGnBu\"                 \"YlOrBr\"                 \"YlOrRd\"                 \"npg\"                    #>  [37] \"aaas\"                   \"nejm\"                   \"lancet\"                 \"jama\"                   #>  [41] \"jco\"                    \"ucscgb\"                 \"d3-category10\"          \"d3-category20\"          #>  [45] \"d3-category20b\"         \"d3-category20c\"         \"igv\"                    \"locuszoom\"              #>  [49] \"uchicago-default\"       \"uchicago-light\"         \"uchicago-dark\"          \"cosmic\"                 #>  [53] \"simpsons\"               \"futurama\"               \"rickandmorty\"           \"startrek\"               #>  [57] \"tron\"                   \"frontiers\"              \"flatui\"                 \"gsea\"                   #>  [61] \"material-red\"           \"material-pink\"          \"material-purple\"        \"material-deep-purple\"   #>  [65] \"material-indigo\"        \"material-blue\"          \"material-light-blue\"    \"material-cyan\"          #>  [69] \"material-teal\"          \"material-green\"         \"material-light-green\"   \"material-lime\"          #>  [73] \"material-yellow\"        \"material-amber\"         \"material-orange\"        \"material-deep-orange\"   #>  [77] \"material-brown\"         \"material-grey\"          \"material-blue-grey\"     \"dPBIYlBu\"               #>  [81] \"dPBIYlPu\"               \"dPBIPuGn\"               \"dPBIPuOr\"               \"dPBIRdBu\"               #>  [85] \"dPBIRdGy\"               \"dPBIRdGn\"               \"qMSOStd\"                \"qMSO12\"                 #>  [89] \"qMSO15\"                 \"qMSOBuWarm\"             \"qMSOBu\"                 \"qMSOBu2\"                #>  [93] \"qMSOBuGn\"               \"qMSOGn\"                 \"qMSOGnYl\"               \"qMSOYl\"                 #>  [97] \"qMSOYlOr\"               \"qMSOOr\"                 \"qMSOOrRd\"               \"qMSORdOr\"               #> [101] \"qMSORd\"                 \"qMSORdPu\"               \"qMSOPu\"                 \"qMSOPu2\"                #> [105] \"qMSOMed\"                \"qMSOPap\"                \"qMSOMrq\"                \"qMSOSlp\"                #> [109] \"qMSOAsp\"                \"qPBI\"                   \"sPBIGn\"                 \"sPBIGy1\"                #> [113] \"sPBIRd\"                 \"sPBIYl\"                 \"sPBIGy2\"                \"sPBIBu\"                 #> [117] \"sPBIOr\"                 \"sPBIPu\"                 \"sPBIYlGn\"               \"sPBIRdPu\"               #> [121] \"ag_GrnYl\"               \"ag_Sunset\"              \"ArmyRose\"               \"Earth\"                  #> [125] \"Fall\"                   \"Geyser\"                 \"TealRose\"               \"Temps\"                  #> [129] \"Tropic\"                 \"Antique\"                \"Bold\"                   \"Pastel\"                 #> [133] \"Prism\"                  \"Safe\"                   \"Vivid\"                  \"BluGrn\"                 #> [137] \"BluYl\"                  \"BrwnYl\"                 \"Burg\"                   \"BurgYl\"                 #> [141] \"DarkMint\"               \"Emrld\"                  \"Magenta\"                \"Mint\"                   #> [145] \"OrYel\"                  \"Peach\"                  \"PinkYl\"                 \"Purp\"                   #> [149] \"PurpOr\"                 \"RedOr\"                  \"Sunset\"                 \"SunsetDark\"             #> [153] \"Teal\"                   \"TealGrn\"                \"polarnight\"             \"snowstorm\"              #> [157] \"frost\"                  \"aurora\"                 \"lumina\"                 \"mountain_forms\"         #> [161] \"silver_mine\"            \"lake_superior\"          \"victory_bonds\"          \"halifax_harbor\"         #> [165] \"moose_pond\"             \"algoma_forest\"          \"rocky_mountain\"         \"red_mountain\"           #> [169] \"baie_mouton\"            \"afternoon_prarie\"       \"magma\"                  \"inferno\"                #> [173] \"plasma\"                 \"viridis\"                \"cividis\"                \"rocket\"                 #> [177] \"mako\"                   \"turbo\"                  \"ocean.algae\"            \"ocean.deep\"             #> [181] \"ocean.dense\"            \"ocean.gray\"             \"ocean.haline\"           \"ocean.ice\"              #> [185] \"ocean.matter\"           \"ocean.oxy\"              \"ocean.phase\"            \"ocean.solar\"            #> [189] \"ocean.thermal\"          \"ocean.turbid\"           \"ocean.balance\"          \"ocean.curl\"             #> [193] \"ocean.delta\"            \"ocean.amp\"              \"ocean.speed\"            \"ocean.tempo\"            #> [197] \"BrowntoBlue.10\"         \"BrowntoBlue.12\"         \"BluetoDarkOrange.12\"    \"BluetoDarkOrange.18\"    #> [201] \"DarkRedtoBlue.12\"       \"DarkRedtoBlue.18\"       \"BluetoGreen.14\"         \"BluetoGray.8\"           #> [205] \"BluetoOrangeRed.14\"     \"BluetoOrange.10\"        \"BluetoOrange.12\"        \"BluetoOrange.8\"         #> [209] \"LightBluetoDarkBlue.10\" \"LightBluetoDarkBlue.7\"  \"Categorical.12\"         \"GreentoMagenta.16\"      #> [213] \"SteppedSequential.5\"    \"jcolors-default\"        \"jcolors-pal2\"           \"jcolors-pal3\"           #> [217] \"jcolors-pal4\"           \"jcolors-pal5\"           \"jcolors-pal6\"           \"jcolors-pal7\"           #> [221] \"jcolors-pal8\"           \"jcolors-pal9\"           \"jcolors-pal10\"          \"jcolors-pal11\"          #> [225] \"jcolors-pal12\"          \"jcolors-rainbow\"        \"jet\"                    \"simspec\"                #> [229] \"GdRd\"                   all_palettes[[\"simspec\"]] #>  [1] \"#c22b86\" \"#f769a1\" \"#fcc5c1\" \"#253777\" \"#1d92c0\" \"#9ec9e1\" \"#015b33\" \"#42aa5e\" \"#d9f0a2\" \"#E66F00\" \"#f18c28\" #> [12] \"#FFBB61\" #> attr(,\"type\") #> [1] \"discrete\" show_palettes(index = 1:10)  #>  [1] \"BrBG\"     \"PiYG\"     \"PRGn\"     \"PuOr\"     \"RdBu\"     \"RdGy\"     \"RdYlBu\"   \"RdYlGn\"   \"Spectral\" \"Accent\"   show_palettes(type = \"discrete\", index = 1:10)  #>  [1] \"Accent\"  \"Dark2\"   \"Paired\"  \"Pastel1\" \"Pastel2\" \"Set1\"    \"Set2\"    \"Set3\"    \"npg\"     \"aaas\"    show_palettes(type = \"continuous\", index = 1:10)  #>  [1] \"BrBG\"     \"PiYG\"     \"PRGn\"     \"PuOr\"     \"RdBu\"     \"RdGy\"     \"RdYlBu\"   \"RdYlGn\"   \"Spectral\" \"Blues\"    show_palettes(palette_names = c(\"Paired\", \"nejm\", \"simspec\", \"Spectral\", \"jet\"), return_palettes = TRUE)  #> $Paired #>  [1] \"#A6CEE3\" \"#1F78B4\" \"#B2DF8A\" \"#33A02C\" \"#FDBF6F\" \"#FF7F00\" \"#FB9A99\" \"#E31A1C\" \"#CAB2D6\" \"#6A3D9A\" \"#FFFF99\" #> [12] \"#B15928\" #> attr(,\"type\") #> [1] \"discrete\" #>  #> $nejm #>      TallPoppy   DeepCerulean           Zest     Eucalyptus WildBlueYonder         Gothic        Salomie     FrenchRose  #>      \"#BC3C29\"      \"#0072B5\"      \"#E18727\"      \"#20854E\"      \"#7876B1\"      \"#6F99AD\"      \"#FFDC91\"      \"#EE4C97\"  #> attr(,\"type\") #> [1] \"discrete\" #>  #> $simspec #>  [1] \"#c22b86\" \"#f769a1\" \"#fcc5c1\" \"#253777\" \"#1d92c0\" \"#9ec9e1\" \"#015b33\" \"#42aa5e\" \"#d9f0a2\" \"#E66F00\" \"#f18c28\" #> [12] \"#FFBB61\" #> attr(,\"type\") #> [1] \"discrete\" #>  #> $Spectral #>  [1] \"#5E4FA2\" \"#3288BD\" \"#66C2A5\" \"#ABDDA4\" \"#E6F598\" \"#FFFFBF\" \"#FEE08B\" \"#FDAE61\" \"#F46D43\" \"#D53E4F\" \"#9E0142\" #> attr(,\"type\") #> [1] \"continuous\" #>  #> $jet #>   [1] \"#00007A\" \"#000085\" \"#00008F\" \"#000099\" \"#0000A3\" \"#0000AD\" \"#0000B8\" \"#0000C2\" \"#0000CC\" \"#0000D6\" \"#0000E0\" #>  [12] \"#0000EB\" \"#0000F5\" \"#0000FF\" \"#000AFF\" \"#0014FF\" \"#001FFF\" \"#0029FF\" \"#0033FF\" \"#003DFF\" \"#0047FF\" \"#0052FF\" #>  [23] \"#005CFF\" \"#0066FF\" \"#0070FF\" \"#007AFF\" \"#0085FF\" \"#008FFF\" \"#0099FF\" \"#00A3FF\" \"#00ADFF\" \"#00B8FF\" \"#00C2FF\" #>  [34] \"#00CCFF\" \"#00D6FF\" \"#00E0FF\" \"#00EBFF\" \"#00F5FF\" \"#00FFFF\" \"#0AFFF5\" \"#14FFEB\" \"#1FFFE0\" \"#29FFD6\" \"#33FFCC\" #>  [45] \"#3DFFC2\" \"#47FFB8\" \"#52FFAD\" \"#5CFFA3\" \"#66FF99\" \"#70FF8F\" \"#7AFF85\" \"#85FF7A\" \"#8FFF70\" \"#99FF66\" \"#A3FF5C\" #>  [56] \"#ADFF52\" \"#B8FF47\" \"#C2FF3D\" \"#CCFF33\" \"#D6FF29\" \"#E0FF1F\" \"#EBFF14\" \"#F5FF0A\" \"#FFFF00\" \"#FFF500\" \"#FFEB00\" #>  [67] \"#FFE000\" \"#FFD600\" \"#FFCC00\" \"#FFC200\" \"#FFB800\" \"#FFAD00\" \"#FFA300\" \"#FF9900\" \"#FF8F00\" \"#FF8500\" \"#FF7A00\" #>  [78] \"#FF7000\" \"#FF6600\" \"#FF5C00\" \"#FF5200\" \"#FF4700\" \"#FF3D00\" \"#FF3300\" \"#FF2900\" \"#FF1F00\" \"#FF1400\" \"#FF0A00\" #>  [89] \"#FF0000\" \"#F50000\" \"#EB0000\" \"#E00000\" \"#D60000\" \"#CC0000\" \"#C20000\" \"#B80000\" \"#AD0000\" \"#A30000\" \"#990000\" #> [100] \"#8F0000\" #> attr(,\"type\") #> [1] \"continuous\" #>"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/slim_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Drop unused data from the plot to reduce the object size — slim_data","title":"Drop unused data from the plot to reduce the object size — slim_data","text":"Drop unused data plot reduce object size","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/slim_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Drop unused data from the plot to reduce the object size — slim_data","text":"","code":"slim_data(p)  # S3 method for ggplot slim_data(p)  # S3 method for patchwork slim_data(p)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/slim_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Drop unused data from the plot to reduce the object size — slim_data","text":"p patchwork object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/slim_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Drop unused data from the plot to reduce the object size — slim_data","text":"","code":"library(ggplot2) p <- ggplot(data = mtcars, aes(x = mpg, y = wt, colour = cyl)) +   geom_point() object.size(p) #> 13984 bytes colnames(p$data) #>  [1] \"mpg\"  \"cyl\"  \"disp\" \"hp\"   \"drat\" \"wt\"   \"qsec\" \"vs\"   \"am\"   \"gear\" \"carb\"  p_slim <- slim_data(p) object.size(p_slim) #> 10912 bytes colnames(p_slim$data) #> [1] \"mpg\" \"cyl\" \"wt\""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/srt_to_adata.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert a seurat object to an anndata object using reticulate — srt_to_adata","title":"Convert a seurat object to an anndata object using reticulate — srt_to_adata","text":"Convert seurat object anndata object using reticulate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/srt_to_adata.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert a seurat object to an anndata object using reticulate — srt_to_adata","text":"","code":"srt_to_adata(   srt,   features = NULL,   assay_X = \"RNA\",   slot_X = \"counts\",   assay_layers = c(\"spliced\", \"unspliced\"),   slot_layers = \"counts\",   convert_tools = FALSE,   convert_misc = FALSE,   verbose = TRUE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/srt_to_adata.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert a seurat object to an anndata object using reticulate — srt_to_adata","text":"srt Seurat object. assay_X Assays convert X(main data matrix) anndata object. assay_layers Assays convert layers anndata object. verbose","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/srt_to_adata.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Convert a seurat object to an anndata object using reticulate — srt_to_adata","text":"anndata object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/srt_to_adata.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Convert a seurat object to an anndata object using reticulate — srt_to_adata","text":"","code":"data(\"pancreas_sub\") adata <- srt_to_adata(pancreas_sub) #> 'misc' slot is not converted. #> 'tools' slot is not converted. adata #> AnnData object with n_obs × n_vars = 1000 × 15958 #>     obs: 'orig.ident', 'nCount_RNA', 'nFeature_RNA', 'S_score', 'G2M_score', 'nCount_spliced', 'nFeature_spliced', 'nCount_unspliced', 'nFeature_unspliced', 'CellType', 'SubCellType', 'Phase' #>     var: 'features', 'highly_variable_genes', 'highly_variable' #>     obsm: 'PCA', 'UMAP' #>     layers: 'spliced', 'unspliced'  ### Or save as an h5ad file or a loom file # adata$write_h5ad(\"pancreas_sub.h5ad\") # adata$write_loom(\"pancreas_sub.loom\", write_obsm_varm = TRUE)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_blank.html","id":null,"dir":"Reference","previous_headings":"","what":"Blank theme — theme_blank","title":"Blank theme — theme_blank","text":"Blank theme","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_blank.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Blank theme — theme_blank","text":"","code":"theme_blank(   add_coord = TRUE,   xlen_npc = 0.15,   ylen_npc = 0.15,   xlab = \"\",   ylab = \"\",   lab_size = 12,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_blank.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Blank theme — theme_blank","text":"add_coord Whether add coordinate arrows. Default TRUE. xlen_npc length x-axis arrow \"npc\". ylen_npc length y-axis arrow \"npc\". xlab x-axis label. ylab y-axis label. lab_size Label size. ... Arguments passed theme.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_blank.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Blank theme — theme_blank","text":"","code":"library(ggplot2) p <- ggplot(mtcars, aes(x = wt, y = mpg, colour = factor(cyl))) +   geom_point() p + theme_blank()  p + theme_blank(xlab = \"x-axis\", ylab = \"y-axis\", lab_size = 16)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_sankey.html","id":null,"dir":"Reference","previous_headings":"","what":"sankey_themes — theme_sankey","title":"sankey_themes — theme_sankey","text":"Minimal themes sankey, alluvial sankey bump plots","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_sankey.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"sankey_themes — theme_sankey","text":"","code":"theme_sankey(   base_size = 11,   base_family = \"\",   base_line_size = base_size/22,   base_rect_size = base_size/22 )  theme_alluvial(   base_size = 11,   base_family = \"\",   base_line_size = base_size/22,   base_rect_size = base_size/22 )  theme_sankey_bump(   base_size = 11,   base_family = \"\",   base_line_size = base_size/22,   base_rect_size = base_size/22 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_sankey.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"sankey_themes — theme_sankey","text":"base_size base font size, given pts. base_family base font family base_line_size base size line elements base_rect_size base size rect elements","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_scp.html","id":null,"dir":"Reference","previous_headings":"","what":"SCP theme — theme_scp","title":"SCP theme — theme_scp","text":"default theme SCP plot function.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_scp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"SCP theme — theme_scp","text":"","code":"theme_scp(aspect.ratio = NULL, base_size = 12, ...)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_scp.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"SCP theme — theme_scp","text":"aspect.ratio Aspect ratio panel. base_size Base font size ... Arguments passed theme.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_scp.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"SCP theme — theme_scp","text":"","code":"library(ggplot2) p <- ggplot(mtcars, aes(x = wt, y = mpg, colour = factor(cyl))) +   geom_point() p + theme_scp()"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/tochunks.html","id":null,"dir":"Reference","previous_headings":"","what":"Split a vector into the chunks — tochunks","title":"Split a vector into the chunks — tochunks","text":"Split vector chunks","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/tochunks.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Split a vector into the chunks — tochunks","text":"","code":"tochunks(x, nchunks)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/tochunks.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Split a vector into the chunks — tochunks","text":"x vector. nchunks Number chunks.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/tochunks.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Split a vector into the chunks — tochunks","text":"","code":"x <- 1:10 names(x) <- letters[1:10] tochunks(x, nchunks = 3) #> $`1` #> a b c d  #> 1 2 3 4  #>  #> $`2` #> e f g  #> 5 6 7  #>  #> $`3` #>  h  i  j  #>  8  9 10  #>"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/unnest.html","id":null,"dir":"Reference","previous_headings":"","what":"Implement similar functions to the unnest function in the tidyr package — unnest","title":"Implement similar functions to the unnest function in the tidyr package — unnest","text":"Implement similar functions unnest function tidyr package","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/unnest.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Implement similar functions to the unnest function in the tidyr package — unnest","text":"","code":"unnest(data, cols, keep_empty = FALSE)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/unnest.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Implement similar functions to the unnest function in the tidyr package — unnest","text":"data data frame. cols Columns unnest. keep_empty default, get one row output element list unchopping/unnesting. means size-0 element (like NULL empty data frame), entire row dropped output. want preserve rows, use keep_empty = TRUE replace size-0 elements single row missing values.","code":""}]
+[{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":null,"dir":"","previous_headings":"","what":"GNU General Public License","title":"GNU General Public License","text":"Version 3, 29 June 2007Copyright © 2007 Free Software Foundation, Inc.  Everyone permitted copy distribute verbatim copies license document, changing allowed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"preamble","dir":"","previous_headings":"","what":"Preamble","title":"GNU General Public License","text":"GNU General Public License free, copyleft license software kinds works. licenses software practical works designed take away freedom share change works. contrast, GNU General Public License intended guarantee freedom share change versions program–make sure remains free software users. , Free Software Foundation, use GNU General Public License software; applies also work released way authors. can apply programs, . speak free software, referring freedom, price. General Public Licenses designed make sure freedom distribute copies free software (charge wish), receive source code can get want , can change software use pieces new free programs, know can things. protect rights, need prevent others denying rights asking surrender rights. Therefore, certain responsibilities distribute copies software, modify : responsibilities respect freedom others. example, distribute copies program, whether gratis fee, must pass recipients freedoms received. must make sure , , receive can get source code. must show terms know rights. Developers use GNU GPL protect rights two steps: (1) assert copyright software, (2) offer License giving legal permission copy, distribute /modify . developers’ authors’ protection, GPL clearly explains warranty free software. users’ authors’ sake, GPL requires modified versions marked changed, problems attributed erroneously authors previous versions. devices designed deny users access install run modified versions software inside , although manufacturer can . fundamentally incompatible aim protecting users’ freedom change software. systematic pattern abuse occurs area products individuals use, precisely unacceptable. Therefore, designed version GPL prohibit practice products. problems arise substantially domains, stand ready extend provision domains future versions GPL, needed protect freedom users. Finally, every program threatened constantly software patents. States allow patents restrict development use software general-purpose computers, , wish avoid special danger patents applied free program make effectively proprietary. prevent , GPL assures patents used render program non-free. precise terms conditions copying, distribution modification follow.","code":""},{"path":[]},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"id_0-definitions","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"0. Definitions","title":"GNU General Public License","text":"“License” refers version 3 GNU General Public License. “Copyright” also means copyright-like laws apply kinds works, semiconductor masks. “Program” refers copyrightable work licensed License. licensee addressed “”. “Licensees” “recipients” may individuals organizations. “modify” work means copy adapt part work fashion requiring copyright permission, making exact copy. resulting work called “modified version” earlier work work “based ” earlier work. “covered work” means either unmodified Program work based Program. “propagate” work means anything , without permission, make directly secondarily liable infringement applicable copyright law, except executing computer modifying private copy. Propagation includes copying, distribution (without modification), making available public, countries activities well. “convey” work means kind propagation enables parties make receive copies. Mere interaction user computer network, transfer copy, conveying. interactive user interface displays “Appropriate Legal Notices” extent includes convenient prominently visible feature (1) displays appropriate copyright notice, (2) tells user warranty work (except extent warranties provided), licensees may convey work License, view copy License. interface presents list user commands options, menu, prominent item list meets criterion.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"id_1-source-code","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"1. Source Code","title":"GNU General Public License","text":"“source code” work means preferred form work making modifications . “Object code” means non-source form work. “Standard Interface” means interface either official standard defined recognized standards body, , case interfaces specified particular programming language, one widely used among developers working language. “System Libraries” executable work include anything, work whole, () included normal form packaging Major Component, part Major Component, (b) serves enable use work Major Component, implement Standard Interface implementation available public source code form. “Major Component”, context, means major essential component (kernel, window system, ) specific operating system () executable work runs, compiler used produce work, object code interpreter used run . “Corresponding Source” work object code form means source code needed generate, install, (executable work) run object code modify work, including scripts control activities. However, include work’s System Libraries, general-purpose tools generally available free programs used unmodified performing activities part work. example, Corresponding Source includes interface definition files associated source files work, source code shared libraries dynamically linked subprograms work specifically designed require, intimate data communication control flow subprograms parts work. Corresponding Source need include anything users can regenerate automatically parts Corresponding Source. Corresponding Source work source code form work.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"id_2-basic-permissions","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"2. Basic Permissions","title":"GNU General Public License","text":"rights granted License granted term copyright Program, irrevocable provided stated conditions met. License explicitly affirms unlimited permission run unmodified Program. output running covered work covered License output, given content, constitutes covered work. License acknowledges rights fair use equivalent, provided copyright law. may make, run propagate covered works convey, without conditions long license otherwise remains force. may convey covered works others sole purpose make modifications exclusively , provide facilities running works, provided comply terms License conveying material control copyright. thus making running covered works must exclusively behalf, direction control, terms prohibit making copies copyrighted material outside relationship . Conveying circumstances permitted solely conditions stated . Sublicensing allowed; section 10 makes unnecessary.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"id_3-protecting-users-legal-rights-from-anti-circumvention-law","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"3. Protecting Users’ Legal Rights From Anti-Circumvention Law","title":"GNU General Public License","text":"covered work shall deemed part effective technological measure applicable law fulfilling obligations article 11 WIPO copyright treaty adopted 20 December 1996, similar laws prohibiting restricting circumvention measures. convey covered work, waive legal power forbid circumvention technological measures extent circumvention effected exercising rights License respect covered work, disclaim intention limit operation modification work means enforcing, work’s users, third parties’ legal rights forbid circumvention technological measures.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"id_4-conveying-verbatim-copies","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"4. Conveying Verbatim Copies","title":"GNU General Public License","text":"may convey verbatim copies Program’s source code receive , medium, provided conspicuously appropriately publish copy appropriate copyright notice; keep intact notices stating License non-permissive terms added accord section 7 apply code; keep intact notices absence warranty; give recipients copy License along Program. may charge price price copy convey, may offer support warranty protection fee.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"id_5-conveying-modified-source-versions","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"5. Conveying Modified Source Versions","title":"GNU General Public License","text":"may convey work based Program, modifications produce Program, form source code terms section 4, provided also meet conditions: ) work must carry prominent notices stating modified , giving relevant date. b) work must carry prominent notices stating released License conditions added section 7. requirement modifies requirement section 4 “keep intact notices”. c) must license entire work, whole, License anyone comes possession copy. License therefore apply, along applicable section 7 additional terms, whole work, parts, regardless packaged. License gives permission license work way, invalidate permission separately received . d) work interactive user interfaces, must display Appropriate Legal Notices; however, Program interactive interfaces display Appropriate Legal Notices, work need make . compilation covered work separate independent works, nature extensions covered work, combined form larger program, volume storage distribution medium, called “aggregate” compilation resulting copyright used limit access legal rights compilation’s users beyond individual works permit. Inclusion covered work aggregate cause License apply parts aggregate.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"id_6-conveying-non-source-forms","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"6. Conveying Non-Source Forms","title":"GNU General Public License","text":"may convey covered work object code form terms sections 4 5, provided also convey machine-readable Corresponding Source terms License, one ways: ) Convey object code , embodied , physical product (including physical distribution medium), accompanied Corresponding Source fixed durable physical medium customarily used software interchange. b) Convey object code , embodied , physical product (including physical distribution medium), accompanied written offer, valid least three years valid long offer spare parts customer support product model, give anyone possesses object code either (1) copy Corresponding Source software product covered License, durable physical medium customarily used software interchange, price reasonable cost physically performing conveying source, (2) access copy Corresponding Source network server charge. c) Convey individual copies object code copy written offer provide Corresponding Source. alternative allowed occasionally noncommercially, received object code offer, accord subsection 6b. d) Convey object code offering access designated place (gratis charge), offer equivalent access Corresponding Source way place charge. need require recipients copy Corresponding Source along object code. place copy object code network server, Corresponding Source may different server (operated third party) supports equivalent copying facilities, provided maintain clear directions next object code saying find Corresponding Source. Regardless server hosts Corresponding Source, remain obligated ensure available long needed satisfy requirements. e) Convey object code using peer--peer transmission, provided inform peers object code Corresponding Source work offered general public charge subsection 6d. separable portion object code, whose source code excluded Corresponding Source System Library, need included conveying object code work. “User Product” either (1) “consumer product”, means tangible personal property normally used personal, family, household purposes, (2) anything designed sold incorporation dwelling. determining whether product consumer product, doubtful cases shall resolved favor coverage. particular product received particular user, “normally used” refers typical common use class product, regardless status particular user way particular user actually uses, expects expected use, product. product consumer product regardless whether product substantial commercial, industrial non-consumer uses, unless uses represent significant mode use product. “Installation Information” User Product means methods, procedures, authorization keys, information required install execute modified versions covered work User Product modified version Corresponding Source. information must suffice ensure continued functioning modified object code case prevented interfered solely modification made. convey object code work section , , specifically use , User Product, conveying occurs part transaction right possession use User Product transferred recipient perpetuity fixed term (regardless transaction characterized), Corresponding Source conveyed section must accompanied Installation Information. requirement apply neither third party retains ability install modified object code User Product (example, work installed ROM). requirement provide Installation Information include requirement continue provide support service, warranty, updates work modified installed recipient, User Product modified installed. Access network may denied modification materially adversely affects operation network violates rules protocols communication across network. Corresponding Source conveyed, Installation Information provided, accord section must format publicly documented (implementation available public source code form), must require special password key unpacking, reading copying.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"id_7-additional-terms","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"7. Additional Terms","title":"GNU General Public License","text":"“Additional permissions” terms supplement terms License making exceptions one conditions. Additional permissions applicable entire Program shall treated though included License, extent valid applicable law. additional permissions apply part Program, part may used separately permissions, entire Program remains governed License without regard additional permissions. convey copy covered work, may option remove additional permissions copy, part . (Additional permissions may written require removal certain cases modify work.) may place additional permissions material, added covered work, can give appropriate copyright permission. Notwithstanding provision License, material add covered work, may (authorized copyright holders material) supplement terms License terms: ) Disclaiming warranty limiting liability differently terms sections 15 16 License; b) Requiring preservation specified reasonable legal notices author attributions material Appropriate Legal Notices displayed works containing ; c) Prohibiting misrepresentation origin material, requiring modified versions material marked reasonable ways different original version; d) Limiting use publicity purposes names licensors authors material; e) Declining grant rights trademark law use trade names, trademarks, service marks; f) Requiring indemnification licensors authors material anyone conveys material (modified versions ) contractual assumptions liability recipient, liability contractual assumptions directly impose licensors authors. non-permissive additional terms considered “restrictions” within meaning section 10. Program received , part , contains notice stating governed License along term restriction, may remove term. license document contains restriction permits relicensing conveying License, may add covered work material governed terms license document, provided restriction survive relicensing conveying. add terms covered work accord section, must place, relevant source files, statement additional terms apply files, notice indicating find applicable terms. Additional terms, permissive non-permissive, may stated form separately written license, stated exceptions; requirements apply either way.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"id_8-termination","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"8. Termination","title":"GNU General Public License","text":"may propagate modify covered work except expressly provided License. attempt otherwise propagate modify void, automatically terminate rights License (including patent licenses granted third paragraph section 11). However, cease violation License, license particular copyright holder reinstated () provisionally, unless copyright holder explicitly finally terminates license, (b) permanently, copyright holder fails notify violation reasonable means prior 60 days cessation. Moreover, license particular copyright holder reinstated permanently copyright holder notifies violation reasonable means, first time received notice violation License (work) copyright holder, cure violation prior 30 days receipt notice. Termination rights section terminate licenses parties received copies rights License. rights terminated permanently reinstated, qualify receive new licenses material section 10.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"id_9-acceptance-not-required-for-having-copies","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"9. Acceptance Not Required for Having Copies","title":"GNU General Public License","text":"required accept License order receive run copy Program. Ancillary propagation covered work occurring solely consequence using peer--peer transmission receive copy likewise require acceptance. However, nothing License grants permission propagate modify covered work. actions infringe copyright accept License. Therefore, modifying propagating covered work, indicate acceptance License .","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"id_10-automatic-licensing-of-downstream-recipients","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"10. Automatic Licensing of Downstream Recipients","title":"GNU General Public License","text":"time convey covered work, recipient automatically receives license original licensors, run, modify propagate work, subject License. responsible enforcing compliance third parties License. “entity transaction” transaction transferring control organization, substantially assets one, subdividing organization, merging organizations. propagation covered work results entity transaction, party transaction receives copy work also receives whatever licenses work party’s predecessor interest give previous paragraph, plus right possession Corresponding Source work predecessor interest, predecessor can get reasonable efforts. may impose restrictions exercise rights granted affirmed License. example, may impose license fee, royalty, charge exercise rights granted License, may initiate litigation (including cross-claim counterclaim lawsuit) alleging patent claim infringed making, using, selling, offering sale, importing Program portion .","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"id_11-patents","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"11. Patents","title":"GNU General Public License","text":"“contributor” copyright holder authorizes use License Program work Program based. work thus licensed called contributor’s “contributor version”. contributor’s “essential patent claims” patent claims owned controlled contributor, whether already acquired hereafter acquired, infringed manner, permitted License, making, using, selling contributor version, include claims infringed consequence modification contributor version. purposes definition, “control” includes right grant patent sublicenses manner consistent requirements License. contributor grants non-exclusive, worldwide, royalty-free patent license contributor’s essential patent claims, make, use, sell, offer sale, import otherwise run, modify propagate contents contributor version. following three paragraphs, “patent license” express agreement commitment, however denominated, enforce patent (express permission practice patent covenant sue patent infringement). “grant” patent license party means make agreement commitment enforce patent party. convey covered work, knowingly relying patent license, Corresponding Source work available anyone copy, free charge terms License, publicly available network server readily accessible means, must either (1) cause Corresponding Source available, (2) arrange deprive benefit patent license particular work, (3) arrange, manner consistent requirements License, extend patent license downstream recipients. “Knowingly relying” means actual knowledge , patent license, conveying covered work country, recipient’s use covered work country, infringe one identifiable patents country reason believe valid. , pursuant connection single transaction arrangement, convey, propagate procuring conveyance , covered work, grant patent license parties receiving covered work authorizing use, propagate, modify convey specific copy covered work, patent license grant automatically extended recipients covered work works based . patent license “discriminatory” include within scope coverage, prohibits exercise , conditioned non-exercise one rights specifically granted License. may convey covered work party arrangement third party business distributing software, make payment third party based extent activity conveying work, third party grants, parties receive covered work , discriminatory patent license () connection copies covered work conveyed (copies made copies), (b) primarily connection specific products compilations contain covered work, unless entered arrangement, patent license granted, prior 28 March 2007. Nothing License shall construed excluding limiting implied license defenses infringement may otherwise available applicable patent law.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"id_12-no-surrender-of-others-freedom","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"12. No Surrender of Others’ Freedom","title":"GNU General Public License","text":"conditions imposed (whether court order, agreement otherwise) contradict conditions License, excuse conditions License. convey covered work satisfy simultaneously obligations License pertinent obligations, consequence may convey . example, agree terms obligate collect royalty conveying convey Program, way satisfy terms License refrain entirely conveying Program.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"id_13-use-with-the-gnu-affero-general-public-license","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"13. Use with the GNU Affero General Public License","title":"GNU General Public License","text":"Notwithstanding provision License, permission link combine covered work work licensed version 3 GNU Affero General Public License single combined work, convey resulting work. terms License continue apply part covered work, special requirements GNU Affero General Public License, section 13, concerning interaction network apply combination .","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"id_14-revised-versions-of-this-license","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"14. Revised Versions of this License","title":"GNU General Public License","text":"Free Software Foundation may publish revised /new versions GNU General Public License time time. new versions similar spirit present version, may differ detail address new problems concerns. version given distinguishing version number. Program specifies certain numbered version GNU General Public License “later version” applies , option following terms conditions either numbered version later version published Free Software Foundation. Program specify version number GNU General Public License, may choose version ever published Free Software Foundation. Program specifies proxy can decide future versions GNU General Public License can used, proxy’s public statement acceptance version permanently authorizes choose version Program. Later license versions may give additional different permissions. However, additional obligations imposed author copyright holder result choosing follow later version.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"id_15-disclaimer-of-warranty","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"15. Disclaimer of Warranty","title":"GNU General Public License","text":"WARRANTY PROGRAM, EXTENT PERMITTED APPLICABLE LAW. EXCEPT OTHERWISE STATED WRITING COPYRIGHT HOLDERS /PARTIES PROVIDE PROGRAM “” WITHOUT WARRANTY KIND, EITHER EXPRESSED IMPLIED, INCLUDING, LIMITED , IMPLIED WARRANTIES MERCHANTABILITY FITNESS PARTICULAR PURPOSE. ENTIRE RISK QUALITY PERFORMANCE PROGRAM . PROGRAM PROVE DEFECTIVE, ASSUME COST NECESSARY SERVICING, REPAIR CORRECTION.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"id_16-limitation-of-liability","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"16. Limitation of Liability","title":"GNU General Public License","text":"EVENT UNLESS REQUIRED APPLICABLE LAW AGREED WRITING COPYRIGHT HOLDER, PARTY MODIFIES /CONVEYS PROGRAM PERMITTED , LIABLE DAMAGES, INCLUDING GENERAL, SPECIAL, INCIDENTAL CONSEQUENTIAL DAMAGES ARISING USE INABILITY USE PROGRAM (INCLUDING LIMITED LOSS DATA DATA RENDERED INACCURATE LOSSES SUSTAINED THIRD PARTIES FAILURE PROGRAM OPERATE PROGRAMS), EVEN HOLDER PARTY ADVISED POSSIBILITY DAMAGES.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"id_17-interpretation-of-sections-15-and-16","dir":"","previous_headings":"TERMS AND CONDITIONS","what":"17. Interpretation of Sections 15 and 16","title":"GNU General Public License","text":"disclaimer warranty limitation liability provided given local legal effect according terms, reviewing courts shall apply local law closely approximates absolute waiver civil liability connection Program, unless warranty assumption liability accompanies copy Program return fee. END TERMS CONDITIONS","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/LICENSE.html","id":"how-to-apply-these-terms-to-your-new-programs","dir":"","previous_headings":"","what":"How to Apply These Terms to Your New Programs","title":"GNU General Public License","text":"develop new program, want greatest possible use public, best way achieve make free software everyone can redistribute change terms. , attach following notices program. safest attach start source file effectively state exclusion warranty; file least “copyright” line pointer full notice found. Also add information contact electronic paper mail. program terminal interaction, make output short notice like starts interactive mode: hypothetical commands show w show c show appropriate parts General Public License. course, program’s commands might different; GUI interface, use “box”. also get employer (work programmer) school, , sign “copyright disclaimer” program, necessary. information , apply follow GNU GPL, see . GNU General Public License permit incorporating program proprietary programs. program subroutine library, may consider useful permit linking proprietary applications library. want , use GNU Lesser General Public License instead License. first, please read .","code":" Copyright (C)     This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.  This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License for more details.  You should have received a copy of the GNU General Public License along with this program.  If not, see .   Copyright (C)    This program comes with ABSOLUTELY NO WARRANTY; for details type 'show w'. This is free software, and you are welcome to redistribute it under certain conditions; type 'show c' for details."},{"path":"https://zhanghao-njmu.github.io/SCP/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Hao Zhang. Maintainer.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Zhang H (2023). SCP: Single Cell Pipeline. R package version 0.5.1, https://github.com/zhanghao-njmu/SCP.","code":"@Manual{,   title = {SCP: Single Cell Pipeline},   author = {Hao Zhang},   year = {2023},   note = {R package version 0.5.1},   url = {https://github.com/zhanghao-njmu/SCP}, }"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"scp-single-cell-pipeline","dir":"","previous_headings":"","what":"Single Cell Pipeline","title":"Single Cell Pipeline","text":"SCP provides comprehensive set tools single-cell data processing downstream analysis. package includes following facilities: Integrated single-cell quality control methods. Pipelines embedded multiple methods normalization, feature reduction, cell population identification (standard Seurat workflow). Pipelines embedded multiple integration methods scRNA-seq scATAC-seq data, including Uncorrected, Seurat, scVI, MNN, fastMNN, Harmony, Scanorama, BBKNN, CSS, LIGER, Conos, ComBat. Multiple single-cell downstream analyses identification differential features, enrichment analysis, GSEA analysis, identification dynamic features, PAGA, RNA velocity, Palantir, Monocle2, Monocle3, etc. Multiple methods automatic annotation single-cell data methods projection single-cell datasets. High-quality data visualization methods. Fast deployment single-cell data SCExplorer, shiny app provides interactive visualization interface. functions SCP package developed around Seurat object compatible Seurat functions.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"r-version-requirement","dir":"","previous_headings":"","what":"R version requirement","title":"Single Cell Pipeline","text":"R >= 4.1.0","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"installation-in-the-global-r-environment","dir":"","previous_headings":"","what":"Installation in the global R environment","title":"Single Cell Pipeline","text":"can install latest version SCP GitHub :","code":"if (!require(\"devtools\", quietly = TRUE)) {   install.packages(\"devtools\") } devtools::install_github(\"zhanghao-njmu/SCP\")"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"create-scp-python-environment","dir":"","previous_headings":"Installation in the global R environment","what":"Create SCP python environment","title":"Single Cell Pipeline","text":"run functions RunPAGA RunSCVELO, SCP requires conda create separate python environment. default environment name \"SCP_env\". can specify environment name SCP setting options(SCP_env_name=\"new_name\") Now, can run PrepareEnv() create python environment SCP. conda binary found, automatically download install miniconda. force SCP use specific conda binary, recommended set reticulate.conda_binary R option: download miniconda pip packages slow, can specify miniconda repo PyPI mirror according network region. Available miniconda repositories: https://repo.anaconda.com/miniconda (default) http://mirrors.aliyun.com/anaconda/miniconda https://mirrors.bfsu.edu.cn/anaconda/miniconda https://mirrors.pku.edu.cn/anaconda/miniconda https://mirror.nju.edu.cn/anaconda/miniconda https://mirrors.sustech.edu.cn/anaconda/miniconda https://mirrors.xjtu.edu.cn/anaconda/miniconda https://mirrors.hit.edu.cn/anaconda/miniconda Available PyPI mirrors: https://pypi.python.org/simple (default) https://mirrors.aliyun.com/pypi/simple https://pypi.tuna.tsinghua.edu.cn/simple https://mirrors.pku.edu.cn/pypi/simple https://mirror.nju.edu.cn/pypi/web/simple https://mirrors.sustech.edu.cn/pypi/simple https://mirrors.xjtu.edu.cn/pypi/simple https://mirrors.hit.edu.cn/pypi/web/simple","code":"SCP::PrepareEnv() options(reticulate.conda_binary = \"/path/to/conda\") SCP::PrepareEnv() SCP::PrepareEnv(   miniconda_repo = \"https://mirrors.bfsu.edu.cn/anaconda/miniconda\",   pip_options = \"-i https://pypi.tuna.tsinghua.edu.cn/simple\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"installation-in-an-isolated-r-environment-using-renv","dir":"","previous_headings":"","what":"Installation in an isolated R environment using renv","title":"Single Cell Pipeline","text":"want change current R environment require reproducibility, can use renv package install SCP isolated R environment.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"create-an-isolated-r-environment","dir":"","previous_headings":"Installation in an isolated R environment using renv","what":"Create an isolated R environment","title":"Single Cell Pipeline","text":"Option 1: Install SCP GitHub create SCP python environment Option 2: SCP already installed global environment, copy SCP local library","code":"if (!require(\"renv\", quietly = TRUE)) {   install.packages(\"renv\") } dir.create(\"~/SCP_env\", recursive = TRUE) # It cannot be the home directory \"~\" ! renv::init(project = \"~/SCP_env\", bare = TRUE, restart = TRUE) renv::activate(project = \"~/SCP_env\") renv::install(\"BiocManager\") renv::install(\"zhanghao-njmu/SCP\", repos = BiocManager::repositories()) SCP::PrepareEnv() renv::activate(project = \"~/SCP_env\") renv::hydrate(\"SCP\") SCP::PrepareEnv()"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"activate-scp-environment-first-before-use","dir":"","previous_headings":"Installation in an isolated R environment using renv","what":"Activate SCP environment first before use","title":"Single Cell Pipeline","text":"","code":"renv::activate(project = \"~/SCP_env\")  library(SCP) data(\"pancreas_sub\") pancreas_sub <- RunPAGA(srt = pancreas_sub, group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\") CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"draw_graph_fr\")"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"save-and-restore-the-state-of-scp-environment","dir":"","previous_headings":"Installation in an isolated R environment using renv","what":"Save and restore the state of SCP environment","title":"Single Cell Pipeline","text":"","code":"renv::snapshot(project = \"~/SCP_env\") renv::restore(project = \"~/SCP_env\")"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"quick-start","dir":"","previous_headings":"","what":"Quick Start","title":"Single Cell Pipeline","text":"Data exploration CellQC Standard pipeline Integration pipeline Cell projection single-cell datasets Cell annotation using bulk RNA-seq datasets Cell annotation using single-cell datasets PAGA analysis Velocity analysis Differential expression analysis Enrichment analysis(-representation) Enrichment analysis(GSEA) Trajectory inference Dynamic features Interactive data visualization SCExplorer visualization examples","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"data-exploration","dir":"","previous_headings":"Quick Start","what":"Data exploration","title":"Single Cell Pipeline","text":"analysis based subsetted version mouse pancreas data.","code":"library(SCP) library(BiocParallel) register(MulticoreParam(workers = 8, progressbar = TRUE))  data(\"pancreas_sub\") print(pancreas_sub) #> An object of class Seurat  #> 47874 features across 1000 samples within 3 assays  #> Active assay: RNA (15958 features, 3467 variable features) #>  2 other assays present: spliced, unspliced #>  2 dimensional reductions calculated: PCA, UMAP CellDimPlot(   srt = pancreas_sub, group.by = c(\"CellType\", \"SubCellType\"),   reduction = \"UMAP\", theme_use = \"theme_blank\" ) CellDimPlot(   srt = pancreas_sub, group.by = \"SubCellType\", stat.by = \"Phase\",   reduction = \"UMAP\", theme_use = \"theme_blank\" ) FeatureDimPlot(   srt = pancreas_sub, features = c(\"Sox9\", \"Neurog3\", \"Fev\", \"Rbp4\"),   reduction = \"UMAP\", theme_use = \"theme_blank\" ) FeatureDimPlot(   srt = pancreas_sub, features = c(\"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\"),   compare_features = TRUE, label = TRUE, label_insitu = TRUE,   reduction = \"UMAP\", theme_use = \"theme_blank\" ) ht <- GroupHeatmap(   srt = pancreas_sub,   features = c(     \"Sox9\", \"Anxa2\", # Ductal     \"Neurog3\", \"Hes6\", # EPs     \"Fev\", \"Neurod1\", # Pre-endocrine     \"Rbp4\", \"Pyy\", # Endocrine     \"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\" # Beta, Alpha, Delta, Epsilon   ),   group.by = c(\"CellType\", \"SubCellType\"),   heatmap_palette = \"YlOrRd\",   cell_annotation = c(\"Phase\", \"G2M_score\", \"Cdh2\"),   cell_annotation_palette = c(\"Dark2\", \"Paired\", \"Paired\"),   show_row_names = TRUE, row_names_side = \"left\",   add_dot = TRUE, add_reticle = TRUE ) print(ht$plot)"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"cellqc","dir":"","previous_headings":"Quick Start","what":"CellQC","title":"Single Cell Pipeline","text":"","code":"pancreas_sub <- RunCellQC(srt = pancreas_sub) CellDimPlot(srt = pancreas_sub, group.by = \"CellQC\", reduction = \"UMAP\") CellStatPlot(srt = pancreas_sub, stat.by = \"CellQC\", group.by = \"CellType\", label = TRUE) CellStatPlot(   srt = pancreas_sub,   stat.by = c(     \"db_qc\", \"outlier_qc\", \"umi_qc\", \"gene_qc\",     \"mito_qc\", \"ribo_qc\", \"ribo_mito_ratio_qc\", \"species_qc\"   ),   plot_type = \"upset\", stat_level = \"Fail\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"standard-pipeline","dir":"","previous_headings":"Quick Start","what":"Standard pipeline","title":"Single Cell Pipeline","text":"CellDimPlot3D FeatureDimPlot3D","code":"pancreas_sub <- Standard_SCP(srt = pancreas_sub) CellDimPlot(   srt = pancreas_sub, group.by = c(\"CellType\", \"SubCellType\"),   reduction = \"StandardUMAP2D\", theme_use = \"theme_blank\" ) CellDimPlot3D(srt = pancreas_sub, group.by = \"SubCellType\") FeatureDimPlot3D(srt = pancreas_sub, features = c(\"Sox9\", \"Neurog3\", \"Fev\", \"Rbp4\"))"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"integration-pipeline","dir":"","previous_headings":"Quick Start","what":"Integration pipeline","title":"Single Cell Pipeline","text":"Example data integration subsetted version panc8(eight human pancreas datasets)  UMAP embeddings based different integration methods SCP: Integration-","code":"data(\"panc8_sub\") panc8_sub <- Integration_SCP(srtMerge = panc8_sub, batch = \"tech\", integration_method = \"Seurat\") CellDimPlot(   srt = panc8_sub, group.by = c(\"celltype\", \"tech\"), reduction = \"SeuratUMAP2D\",   title = \"Seurat\", theme_use = \"theme_blank\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"cell-projection-between-single-cell-datasets","dir":"","previous_headings":"Quick Start","what":"Cell projection between single-cell datasets","title":"Single Cell Pipeline","text":"","code":"panc8_rename <- RenameFeatures(srt = panc8_sub, newnames = make.unique(capitalize(rownames(panc8_sub), force_tolower = TRUE)), assays = \"RNA\") srt_query <- RunKNNMap(srt_query = pancreas_sub, srt_ref = panc8_rename, ref_umap = \"SeuratUMAP2D\") ProjectionPlot(   srt_query = srt_query, srt_ref = panc8_rename,   query_group = \"SubCellType\", ref_group = \"celltype\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"cell-annotation-using-bulk-rna-seq-datasets","dir":"","previous_headings":"Quick Start","what":"Cell annotation using bulk RNA-seq datasets","title":"Single Cell Pipeline","text":"","code":"data(\"ref_scMCA\") pancreas_sub <- RunKNNPredict(srt_query = pancreas_sub, bulk_ref = ref_scMCA, filter_lowfreq = 20) CellDimPlot(srt = pancreas_sub, group.by = \"KNNPredict_classification\", reduction = \"UMAP\", label = TRUE)"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"cell-annotation-using-single-cell-datasets","dir":"","previous_headings":"Quick Start","what":"Cell annotation using single-cell datasets","title":"Single Cell Pipeline","text":"","code":"pancreas_sub <- RunKNNPredict(   srt_query = pancreas_sub, srt_ref = panc8_rename,   ref_group = \"celltype\", filter_lowfreq = 20 ) CellDimPlot(srt = pancreas_sub, group.by = \"KNNPredict_classification\", reduction = \"UMAP\", label = TRUE) pancreas_sub <- RunKNNPredict(   srt_query = pancreas_sub, srt_ref = panc8_rename,   query_group = \"SubCellType\", ref_group = \"celltype\",   return_full_distance_matrix = TRUE ) CellDimPlot(srt = pancreas_sub, group.by = \"KNNPredict_classification\", reduction = \"UMAP\", label = TRUE) ht <- CellCorHeatmap(   srt_query = pancreas_sub, srt_ref = panc8_rename,   query_group = \"SubCellType\", ref_group = \"celltype\",   nlabel = 3, label_by = \"row\",   show_row_names = TRUE, show_column_names = TRUE ) print(ht$plot)"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"paga-analysis","dir":"","previous_headings":"Quick Start","what":"PAGA analysis","title":"Single Cell Pipeline","text":"","code":"pancreas_sub <- RunPAGA(   srt = pancreas_sub, group_by = \"SubCellType\",   linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\" ) PAGAPlot(srt = pancreas_sub, reduction = \"UMAP\", label = TRUE, label_insitu = TRUE, label_repel = TRUE)"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"velocity-analysis","dir":"","previous_headings":"Quick Start","what":"Velocity analysis","title":"Single Cell Pipeline","text":"estimate cell velocity, need “spliced” “unspliced” assays Seurat object. can generate matrices using velocyto, bustools, alevin.","code":"pancreas_sub <- RunSCVELO(   srt = pancreas_sub, group_by = \"SubCellType\",   linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\" ) VelocityPlot(srt = pancreas_sub, reduction = \"UMAP\", group_by = \"SubCellType\") VelocityPlot(srt = pancreas_sub, reduction = \"UMAP\", plot_type = \"stream\")"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"differential-expression-analysis","dir":"","previous_headings":"Quick Start","what":"Differential expression analysis","title":"Single Cell Pipeline","text":"","code":"pancreas_sub <- RunDEtest(srt = pancreas_sub, group_by = \"CellType\", fc.threshold = 1, only.pos = FALSE) VolcanoPlot(srt = pancreas_sub, group_by = \"CellType\") DEGs <- pancreas_sub@tools$DEtest_CellType$AllMarkers_wilcox DEGs <- DEGs[with(DEGs, avg_log2FC > 1 & p_val_adj < 0.05), ] # Annotate features with transcription factors and surface proteins pancreas_sub <- AnnotateFeatures(pancreas_sub, species = \"Mus_musculus\", db = c(\"TF\", \"CSPA\")) ht <- FeatureHeatmap(   srt = pancreas_sub, group.by = \"CellType\", features = DEGs$gene, feature_split = DEGs$group1,   species = \"Mus_musculus\", db = c(\"GO_BP\", \"KEGG\", \"WikiPathway\"), anno_terms = TRUE,   feature_annotation = c(\"TF\", \"CSPA\"), feature_annotation_palcolor = list(c(\"gold\", \"steelblue\"), c(\"forestgreen\")),   height = 5, width = 4 ) print(ht$plot)"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"enrichment-analysisover-representation","dir":"","previous_headings":"Quick Start","what":"Enrichment analysis(over-representation)","title":"Single Cell Pipeline","text":"ensure labels visible, can adjust size viewer panel Rstudio IDE.","code":"pancreas_sub <- RunEnrichment(   srt = pancreas_sub, group_by = \"CellType\", db = \"GO_BP\", species = \"Mus_musculus\",   DE_threshold = \"avg_log2FC > log2(1.5) & p_val_adj < 0.05\" ) EnrichmentPlot(   srt = pancreas_sub, group_by = \"CellType\", group_use = c(\"Ductal\", \"Endocrine\"),   plot_type = \"bar\" ) EnrichmentPlot(   srt = pancreas_sub, group_by = \"CellType\", group_use = c(\"Ductal\", \"Endocrine\"),   plot_type = \"wordcloud\" ) EnrichmentPlot(   srt = pancreas_sub, group_by = \"CellType\", group_use = c(\"Ductal\", \"Endocrine\"),   plot_type = \"wordcloud\", word_type = \"feature\" ) EnrichmentPlot(   srt = pancreas_sub, group_by = \"CellType\", group_use = \"Ductal\",   plot_type = \"network\" ) EnrichmentPlot(   srt = pancreas_sub, group_by = \"CellType\", group_use = \"Ductal\",   plot_type = \"enrichmap\" ) EnrichmentPlot(srt = pancreas_sub, group_by = \"CellType\", plot_type = \"comparison\")"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"enrichment-analysisgsea","dir":"","previous_headings":"Quick Start","what":"Enrichment analysis(GSEA)","title":"Single Cell Pipeline","text":"","code":"pancreas_sub <- RunGSEA(   srt = pancreas_sub, group_by = \"CellType\", db = \"GO_BP\", species = \"Mus_musculus\",   DE_threshold = \"p_val_adj < 0.05\" ) GSEAPlot(srt = pancreas_sub, group_by = \"CellType\", group_use = \"Endocrine\", id_use = \"GO:0007186\") GSEAPlot(srt = pancreas_sub, group_by = \"CellType\", plot_type = \"comparison\")"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"trajectory-inference","dir":"","previous_headings":"Quick Start","what":"Trajectory inference","title":"Single Cell Pipeline","text":"","code":"pancreas_sub <- RunSlingshot(srt = pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\") FeatureDimPlot(pancreas_sub, features = paste0(\"Lineage\", 1:3), reduction = \"UMAP\", theme_use = \"theme_blank\") CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", lineages = paste0(\"Lineage\", 1:3), lineages_span = 0.1)"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"dynamic-features","dir":"","previous_headings":"Quick Start","what":"Dynamic features","title":"Single Cell Pipeline","text":"","code":"pancreas_sub <- RunDynamicFeatures(srt = pancreas_sub, lineages = c(\"Lineage1\", \"Lineage2\"), n_candidates = 200) ht <- DynamicHeatmap(   srt = pancreas_sub, lineages = c(\"Lineage1\", \"Lineage2\"),   use_fitted = TRUE, n_split = 6, reverse_ht = \"Lineage1\",   species = \"Mus_musculus\", db = \"GO_BP\", anno_terms = TRUE, anno_keys = TRUE, anno_features = TRUE,   heatmap_palette = \"viridis\", cell_annotation = \"SubCellType\",   separate_annotation = list(\"SubCellType\", c(\"Nnat\", \"Irx1\")), separate_annotation_palette = c(\"Paired\", \"Set1\"),   feature_annotation = c(\"TF\", \"CSPA\"), feature_annotation_palcolor = list(c(\"gold\", \"steelblue\"), c(\"forestgreen\")),   pseudotime_label = 25, pseudotime_label_color = \"red\",   height = 5, width = 2 ) print(ht$plot) DynamicPlot(   srt = pancreas_sub, lineages = c(\"Lineage1\", \"Lineage2\"), group.by = \"SubCellType\",   features = c(\"Plk1\", \"Hes1\", \"Neurod2\", \"Ghrl\", \"Gcg\", \"Ins2\"),   compare_lineages = TRUE, compare_features = FALSE ) FeatureStatPlot(   srt = pancreas_sub, group.by = \"SubCellType\", bg.by = \"CellType\",   stat.by = c(\"Sox9\", \"Neurod2\", \"Isl1\", \"Rbp4\"), add_box = TRUE,   comparisons = list(     c(\"Ductal\", \"Ngn3 low EP\"),     c(\"Ngn3 high EP\", \"Pre-endocrine\"),     c(\"Alpha\", \"Beta\")   ) )"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"interactive-data-visualization-with-scexplorer","dir":"","previous_headings":"Quick Start","what":"Interactive data visualization with SCExplorer","title":"Single Cell Pipeline","text":"","code":"PrepareSCExplorer(list(mouse_pancreas = pancreas_sub, human_pancreas = panc8_sub), base_dir = \"./SCExplorer\") app <- RunSCExplorer(base_dir = \"./SCExplorer\") list.files(\"./SCExplorer\") # This directory can be used as site directory for Shiny Server.  if (interactive()) {   shiny::runApp(app) }"},{"path":"https://zhanghao-njmu.github.io/SCP/index.html","id":"other-visualization-examples","dir":"","previous_headings":"Quick Start","what":"Other visualization examples","title":"Single Cell Pipeline","text":"CellDimPlotCellStatPlotFeatureStatPlotGroupHeatmap can also find examples documentation function: Integration_SCP, RunKNNMap, RunMonocle3, RunPalantir, etc.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/AnnotateFeatures.html","id":null,"dir":"Reference","previous_headings":"","what":"AnnotateFeatures — AnnotateFeatures","title":"AnnotateFeatures — AnnotateFeatures","text":"AnnotateFeatures","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/AnnotateFeatures.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"AnnotateFeatures — AnnotateFeatures","text":"","code":"AnnotateFeatures(   srt,   species = \"Homo_sapiens\",   IDtype = c(\"symbol\", \"ensembl_id\", \"entrez_id\"),   db = NULL,   db_update = FALSE,   db_version = \"latest\",   convert_species = FALSE,   Ensembl_version = 103,   mirror = NULL,   gtf = NULL,   merge_gtf_by = \"gene_name\",   columns = c(\"seqname\", \"feature\", \"start\", \"end\", \"strand\", \"gene_id\", \"gene_name\",     \"gene_type\"),   assays = \"RNA\",   overwrite = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/AnnotateFeatures.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"AnnotateFeatures — AnnotateFeatures","text":"convert_species","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/AnnotateFeatures.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"AnnotateFeatures — AnnotateFeatures","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- AnnotateFeatures(pancreas_sub,   species = \"Mus_musculus\", IDtype = \"symbol\",   db = c(\"Chromosome\", \"GeneType\", \"Enzyme\", \"TF\", \"CSPA\", \"VerSeDa\") ) #> Species: Mus_musculus #> Preparing database: Chromosome #> Preparing database: GeneType #> Preparing database: Enzyme #> Preparing database: TF #> Install package: \"openxlsx\" ... #> 'getOption(\"repos\")' replaces Bioconductor standard repositories, see 'help(\"repositories\", package = \"BiocManager\")' #> for details. #> Replacement repositories: #>     CRAN: https://cloud.r-project.org #> Bioconductor version 3.17 (BiocManager 1.30.22), R 4.3.1 (2023-06-16) #> Installing package(s) 'BiocVersion', 'openxlsx' #> Preparing database: CSPA #> Preparing database: VerSeDa #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 11269 genes mapped with ensembl_peptide_id #> ============================== #> 11269 genes mapped #> 1197 genes unmapped #> ============================== #> Convert ID types for the database: Chromosome #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 27650 genes mapped with entrez_id #> ============================== #> 27650 genes mapped #> 44558 genes unmapped #> ============================== #> Convert ID types for the database: GeneType #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 27650 genes mapped with entrez_id #> ============================== #> 27650 genes mapped #> 45394 genes unmapped #> ============================== #> Convert ID types for the database: Enzyme #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 2263 genes mapped with entrez_id #> ============================== #> 2263 genes mapped #> 20 genes unmapped #> ============================== head(pancreas_sub[[\"RNA\"]]@meta.features) #>               highly_variable_genes Chromosome       GeneType Enzyme   TF CSPA          VerSeDa #> Mrpl15                        False       chr1 protein-coding      SecretoryProtein #> Npbwr1                                chr1 protein-coding                   #> 4732440D04Rik                 False                                     #> Gm26901                       False                                     #> Sntg1                          True       chr1 protein-coding      SecretoryProtein #> Mybl1                         False       chr1 protein-coding      TF                ## Annotate features using a GTF file # pancreas_sub <- AnnotateFeatures(pancreas_sub, gtf = \"/data/reference/CellRanger/refdata-gex-mm10-2020-A/genes/genes.gtf\") # head(pancreas_sub[[\"RNA\"]]@meta.features)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/BBKNN_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"BBKNN_integrate — BBKNN_integrate","title":"BBKNN_integrate — BBKNN_integrate","text":"BBKNN_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/BBKNN_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"BBKNN_integrate — BBKNN_integrate","text":"","code":"BBKNN_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   linear_reduction = \"pca\",   linear_reduction_dims = 50,   linear_reduction_dims_use = NULL,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   bbknn_params = list(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/BBKNN_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"BBKNN_integrate — BBKNN_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". linear_reduction linear reduction method name. Can one \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Dimensions calculate performing linear reduction. linear_reduction_dims_use dimensions use performing nonlinear reduction. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CC_GenePrefetch.html","id":null,"dir":"Reference","previous_headings":"","what":"Prefetch cycle gene — CC_GenePrefetch","title":"Prefetch cycle gene — CC_GenePrefetch","text":"Based human cell cycle genes, cell cycle genes corresponding species captured homologous gene conversion.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CC_GenePrefetch.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Prefetch cycle gene — CC_GenePrefetch","text":"","code":"CC_GenePrefetch(   species = \"Homo_sapiens\",   Ensembl_version = 103,   mirror = NULL,   max_tries = 5,   use_cached_gene = TRUE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CC_GenePrefetch.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Prefetch cycle gene — CC_GenePrefetch","text":"species Latin names animals,.e., \"Homo_sapiens\", \"Mus_musculus\" Ensembl_version Ensembl database version. NULL, use current release version. mirror Specify Ensembl mirror connect . valid options 'www', 'uswest', 'useast', 'asia'. max_tries Number max_tries connect biomart service. use_cached_gene Whether use previously cached cell cycle gene conversion results species.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CC_GenePrefetch.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Prefetch cycle gene — CC_GenePrefetch","text":"list S-phase G2M-phase genes.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CC_GenePrefetch.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Prefetch cycle gene — CC_GenePrefetch","text":"","code":"ccgenes <- CC_GenePrefetch(\"Homo_sapiens\") str(ccgenes) #> List of 3 #>  $ res         : NULL #>  $ cc_S_genes  : chr [1:43] \"MCM5\" \"PCNA\" \"TYMS\" \"FEN1\" ... #>  $ cc_G2M_genes: chr [1:54] \"HMGB2\" \"CDK1\" \"NUSAP1\" \"UBE2C\" ... ccgenes <- CC_GenePrefetch(\"Mus_musculus\") #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset hsapiens ... #> Connecting to the dataset hsapiens_gene_ensembl ... #> Converting the geneIDs... #> 97 genes mapped with ensembl_symbol #> ============================== #> 97 genes mapped #> 0 genes unmapped #> ============================== str(ccgenes) #> List of 3 #>  $ res         :List of 7 #>   ..$ geneID_res     :'data.frame':\t99 obs. of  4 variables: #>   .. ..$ from_IDtype: chr [1:99] \"ensembl_symbol\" \"ensembl_symbol\" \"ensembl_symbol\" \"ensembl_symbol\" ... #>   .. ..$ from_geneID: chr [1:99] \"NCAPD2\" \"ANLN\" \"UBR7\" \"TACC3\" ... #>   .. ..$ to_IDtype  : chr [1:99] \"symbol\" \"symbol\" \"symbol\" \"symbol\" ... #>   .. ..$ to_geneID  : chr [1:99] \"Ncapd2\" \"Anln\" \"Ubr7\" \"Tacc3\" ... #>   ..$ geneID_collapse:'data.frame':\t94 obs. of  2 variables: #>   .. ..$ from_geneID: chr [1:94] \"ANLN\" \"ANP32E\" \"AURKA\" \"AURKB\" ... #>   .. ..$ symbol     :List of 94 #>   .. .. ..$ : chr \"Anln\" #>   .. .. ..$ : chr \"Anp32e\" #>   .. .. ..$ : chr \"Aurka\" #>   .. .. ..$ : chr \"Aurkb\" #>   .. .. ..$ : chr \"Birc5\" #>   .. .. ..$ : chr \"Blm\" #>   .. .. ..$ : chr \"Bub1\" #>   .. .. ..$ : chr \"Casp8ap2\" #>   .. .. ..$ : chr \"Cbx5\" #>   .. .. ..$ : chr \"Ccnb2\" #>   .. .. ..$ : chr \"Ccne2\" #>   .. .. ..$ : chr \"Cdc20\" #>   .. .. ..$ : chr \"Cdc25c\" #>   .. .. ..$ : chr \"Cdc45\" #>   .. .. ..$ : chr \"Cdc6\" #>   .. .. ..$ : chr \"Cdca2\" #>   .. .. ..$ : chr \"Cdca3\" #>   .. .. ..$ : chr \"Cdca7\" #>   .. .. ..$ : chr \"Cdca8\" #>   .. .. ..$ : chr \"Cdk1\" #>   .. .. ..$ : chr \"Cenpa\" #>   .. .. ..$ : chr \"Cenpe\" #>   .. .. ..$ : chr \"Cenpf\" #>   .. .. ..$ : chr \"Cenpu\" #>   .. .. ..$ : chr \"Chaf1b\" #>   .. .. ..$ : chr \"Ckap2\" #>   .. .. ..$ : chr \"Ckap2l\" #>   .. .. ..$ : chr \"Ckap5\" #>   .. .. ..$ : chr \"Cks1b\" #>   .. .. ..$ : chr \"Cks2\" #>   .. .. ..$ : chr \"Clspn\" #>   .. .. ..$ : chr \"Ctcf\" #>   .. .. ..$ : chr \"Dlgap5\" #>   .. .. ..$ : chr \"Dscc1\" #>   .. .. ..$ : chr \"Dtl\" #>   .. .. ..$ : chr \"E2f8\" #>   .. .. ..$ : chr \"Ect2\" #>   .. .. ..$ : chr \"Exo1\" #>   .. .. ..$ : chr \"Fen1\" #>   .. .. ..$ : chr \"G2e3\" #>   .. .. ..$ : chr \"Gas2l3\" #>   .. .. ..$ : chr \"Gins2\" #>   .. .. ..$ : chr \"Gmnn\" #>   .. .. ..$ : chr \"Gtse1\" #>   .. .. ..$ : chr \"Hells\" #>   .. .. ..$ : chr \"Hjurp\" #>   .. .. ..$ : chr \"Hmgb2\" #>   .. .. ..$ : chr \"Hmmr\" #>   .. .. ..$ : chr \"Kif11\" #>   .. .. ..$ : chr \"Kif20b\" #>   .. .. ..$ : chr \"Kif23\" #>   .. .. ..$ : chr \"Kif2c\" #>   .. .. ..$ : chr \"Lbr\" #>   .. .. ..$ : chr \"Mcm4\" #>   .. .. ..$ : chr \"Mcm5\" #>   .. .. ..$ : chr \"Mcm6\" #>   .. .. ..$ : chr \"Mcm7\" #>   .. .. ..$ : chr \"Mki67\" #>   .. .. ..$ : chr \"Mrpl36\" #>   .. .. ..$ : chr \"Msh2\" #>   .. .. ..$ : chr \"Nasp\" #>   .. .. ..$ : chr \"Ncapd2\" #>   .. .. ..$ : chr \"Ndc80\" #>   .. .. ..$ : chr \"Nek2\" #>   .. .. ..$ : chr \"Nuf2\" #>   .. .. ..$ : chr \"Nusap1\" #>   .. .. ..$ : chr \"Pcna\" #>   .. .. ..$ : chr \"Pimreg\" #>   .. .. ..$ : chr \"Pola1\" #>   .. .. ..$ : chr \"Polr1b\" #>   .. .. ..$ : chr \"Prim1\" #>   .. .. ..$ : chr \"Psrc1\" #>   .. .. ..$ : chr \"Rad51\" #>   .. .. ..$ : chr \"Rad51ap1\" #>   .. .. ..$ : chr \"Rangap1\" #>   .. .. ..$ : chr \"Rfc2\" #>   .. .. ..$ : chr \"Rrm1\" #>   .. .. ..$ : chr \"Rrm2\" #>   .. .. ..$ : chr \"Slbp\" #>   .. .. ..$ : chr \"Smc4\" #>   .. .. ..$ : chr \"Tacc3\" #>   .. .. ..$ : chr \"Tipin\" #>   .. .. ..$ : chr \"Tmpo\" #>   .. .. ..$ : chr \"Top2a\" #>   .. .. ..$ : chr \"Tpx2\" #>   .. .. ..$ : chr \"Ttk\" #>   .. .. ..$ : chr \"Tubb4b\" #>   .. .. ..$ : chr \"Tyms\" #>   .. .. ..$ : chr \"Ube2c\" #>   .. .. ..$ : chr \"Ubr7\" #>   .. .. ..$ : chr \"Uhrf1\" #>   .. .. ..$ : chr \"Ung\" #>   .. .. ..$ : chr \"Usp1\" #>   .. .. ..$ : chr \"Wdr76\" #>   .. .. ..- attr(*, \"class\")= chr \"AsIs\" #>   ..$ geneID_expand  :'data.frame':\t94 obs. of  2 variables: #>   .. ..$ from_geneID: chr [1:94] \"ANLN\" \"ANP32E\" \"AURKA\" \"AURKB\" ... #>   .. ..$ symbol     : chr [1:94] \"Anln\" \"Anp32e\" \"Aurka\" \"Aurkb\" ... #>   ..$ Ensembl_version: chr \"103\" #>   ..$ Datasets       :'data.frame':\t202 obs. of  3 variables: #>   .. ..$ dataset    : 'AsIs' chr [1:202] \"abrachyrhynchus_gene_ensembl\" \"acalliptera_gene_ensembl\" \"acarolinensis_gene_ensembl\" \"acchrysaetos_gene_ensembl\" ... #>   .. ..$ description: 'AsIs' chr [1:202] \"Pink-footed goose genes (ASM259213v1)\" \"Eastern happy genes (fAstCal1.2)\" \"Anole lizard genes (AnoCar2.0)\" \"Golden eagle genes (bAquChr1.2)\" ... #>   .. ..$ version    : 'AsIs' chr [1:202] \"ASM259213v1\" \"fAstCal1.2\" \"AnoCar2.0\" \"bAquChr1.2\" ... #>   ..$ Attributes     :'data.frame':\t3183 obs. of  3 variables: #>   .. ..$ name       : chr [1:3183] \"ensembl_gene_id\" \"ensembl_gene_id_version\" \"ensembl_transcript_id\" \"ensembl_transcript_id_version\" ... #>   .. ..$ description: chr [1:3183] \"Gene stable ID\" \"Gene stable ID version\" \"Transcript stable ID\" \"Transcript stable ID version\" ... #>   .. ..$ page       : chr [1:3183] \"feature_page\" \"feature_page\" \"feature_page\" \"feature_page\" ... #>   ..$ geneID_unmapped: chr(0)  #>  $ cc_S_genes  : chr [1:41] \"Mcm5\" \"Pcna\" \"Tyms\" \"Fen1\" ... #>  $ cc_G2M_genes: chr [1:53] \"Hmgb2\" \"Cdk1\" \"Nusap1\" \"Ube2c\" ..."},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CSS_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"CSS_integrate — CSS_integrate","title":"CSS_integrate — CSS_integrate","text":"CSS_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CSS_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"CSS_integrate — CSS_integrate","text":"","code":"CSS_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   linear_reduction = \"pca\",   linear_reduction_dims = 50,   linear_reduction_dims_use = NULL,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   CSS_dims_use = NULL,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   CSS_params = list(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CSS_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"CSS_integrate — CSS_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". linear_reduction linear reduction method name. Can one \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Dimensions calculate performing linear reduction. linear_reduction_dims_use dimensions use performing nonlinear reduction. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellCorHeatmap.html","id":null,"dir":"Reference","previous_headings":"","what":"CellCorHeatmap — CellCorHeatmap","title":"CellCorHeatmap — CellCorHeatmap","text":"CellCorHeatmap","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellCorHeatmap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"CellCorHeatmap — CellCorHeatmap","text":"","code":"CellCorHeatmap(   srt_query,   srt_ref = NULL,   bulk_ref = NULL,   query_group = NULL,   ref_group = NULL,   query_assay = NULL,   ref_assay = NULL,   query_reduction = NULL,   ref_reduction = NULL,   query_dims = 1:30,   ref_dims = 1:30,   query_collapsing = !is.null(query_group),   ref_collapsing = TRUE,   features = NULL,   features_type = c(\"HVF\", \"DE\"),   feature_source = \"both\",   nfeatures = 2000,   DEtest_param = list(max.cells.per.ident = 200, test.use = \"wilcox\"),   DE_threshold = \"p_val_adj < 0.05\",   distance_metric = \"cosine\",   k = 30,   filter_lowfreq = 0,   prefix = \"KNNPredict\",   legend_title = NULL,   border = TRUE,   flip = FALSE,   limits = NULL,   cluster_rows = FALSE,   cluster_columns = FALSE,   show_row_names = FALSE,   show_column_names = FALSE,   row_names_side = \"left\",   column_names_side = \"top\",   row_names_rot = 0,   column_names_rot = 90,   row_title = NULL,   column_title = NULL,   row_title_side = \"left\",   column_title_side = \"top\",   row_title_rot = 90,   column_title_rot = 0,   nlabel = 0,   label_cutoff = 0,   label_by = \"row\",   label_size = 10,   heatmap_palette = \"RdBu\",   heatmap_palcolor = NULL,   query_group_palette = \"Paired\",   query_group_palcolor = NULL,   ref_group_palette = \"simspec\",   ref_group_palcolor = NULL,   query_cell_annotation = NULL,   query_cell_annotation_palette = \"Paired\",   query_cell_annotation_palcolor = NULL,   query_cell_annotation_params = if (flip) list(height = grid::unit(1, \"cm\")) else     list(width = grid::unit(1, \"cm\")),   ref_cell_annotation = NULL,   ref_cell_annotation_palette = \"Paired\",   ref_cell_annotation_palcolor = NULL,   ref_cell_annotation_params = if (flip) list(width = grid::unit(1, \"cm\")) else     list(height = grid::unit(1, \"cm\")),   use_raster = NULL,   raster_device = \"png\",   raster_by_magick = FALSE,   height = NULL,   width = NULL,   units = \"inch\",   seed = 11,   ht_params = list() )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellCorHeatmap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"CellCorHeatmap — CellCorHeatmap","text":"raster_by_magick","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellCorHeatmap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"CellCorHeatmap — CellCorHeatmap","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- Standard_SCP(pancreas_sub) #> [2023-09-08 15:21:32.574213] Start Standard_SCP #> [2023-09-08 15:21:32.575756] Checking srtList... ... #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-08 15:21:33.795092] Finished checking. #> [2023-09-08 15:21:33.795317] Perform ScaleData on the data... #> [2023-09-08 15:21:34.013223] Perform linear dimension reduction (pca) on the data... #> [2023-09-08 15:21:35.10613] Perform FindClusters (louvain) on the data... #> [2023-09-08 15:21:35.247365] Reorder clusters... #> [2023-09-08 15:21:35.62372] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-08 15:21:44.18708] Standard_SCP done #> Elapsed time: 11.61 secs  ht1 <- CellCorHeatmap(srt_query = pancreas_sub, query_group = \"SubCellType\") #> Use the HVF to calculate distance metric. #> Use 2000 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... ht1$plot   data(\"panc8_sub\") # Simply convert genes from human to mouse and preprocess the data genenames <- make.unique(capitalize(rownames(panc8_sub), force_tolower = TRUE)) panc8_sub <- RenameFeatures(panc8_sub, newnames = genenames) #> Rename features for the assay: RNA panc8_sub <- check_srtMerge(panc8_sub, batch = \"tech\")[[\"srtMerge\"]] #> [2023-09-08 15:21:47.99782] Spliting srtMerge into srtList by column tech... ... #> [2023-09-08 15:21:48.735453] Checking srtList... ... #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/5 of the srtList... #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 2/5 of the srtList... #> Data 3/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 3/5 of the srtList... #> Data 4/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 4/5 of the srtList... #> Data 5/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 5/5 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-08 15:21:53.922425] Finished checking.  ht2 <- CellCorHeatmap(   srt_query = pancreas_sub, srt_ref = panc8_sub, nlabel = 3, label_cutoff = 0.6,   query_group = \"SubCellType\", ref_group = \"celltype\",   query_cell_annotation = \"Phase\", query_cell_annotation_palette = \"Set2\",   ref_cell_annotation = \"tech\", ref_cell_annotation_palette = \"Set3\",   width = 3, height = 2 ) #> Use the HVF to calculate distance metric. #> Use 631 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... #> The size of the heatmap will be fixed as some elements are not scalable. ht2$plot   ht3 <- CellCorHeatmap(   srt_query = pancreas_sub, srt_ref = panc8_sub,   query_group = \"SubCellType\", query_collapsing = FALSE, cluster_rows = TRUE,   ref_group = \"celltype\", ref_collapsing = FALSE, cluster_columns = TRUE ) #> Use the HVF to calculate distance metric. #> Use 631 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... ht3$plot   ht4 <- CellCorHeatmap(   srt_query = pancreas_sub, srt_ref = panc8_sub,   show_row_names = TRUE, show_column_names = TRUE,   query_group = \"SubCellType\", ref_group = \"celltype\",   query_cell_annotation = c(\"Sox9\", \"Rbp4\", \"Gcg\"),   ref_cell_annotation = c(\"Sox9\", \"Rbp4\", \"Gcg\") ) #> Use the HVF to calculate distance metric. #> Use 631 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... ht4$plot"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDensityPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"CellDensityPlot — CellDensityPlot","title":"CellDensityPlot — CellDensityPlot","text":"CellDensityPlot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDensityPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"CellDensityPlot — CellDensityPlot","text":"","code":"CellDensityPlot(   srt,   features,   group.by,   split.by = NULL,   assay = NULL,   slot = \"data\",   flip = FALSE,   reverse = FALSE,   x_order = c(\"value\", \"rank\"),   decreasing = NULL,   palette = \"Paired\",   palcolor = NULL,   cells = NULL,   keep_empty = FALSE,   y.nbreaks = 4,   y.min = NULL,   y.max = NULL,   same.y.lims = FALSE,   aspect.ratio = NULL,   title = NULL,   subtitle = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE,   force = FALSE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDensityPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"CellDensityPlot — CellDensityPlot","text":"seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDensityPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"CellDensityPlot — CellDensityPlot","text":"","code":"data(\"pancreas_sub\") CellDensityPlot(pancreas_sub, features = \"Sox9\", group.by = \"SubCellType\") #> Picking joint bandwidth of 0.453   pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\") #> Warning: Removed 8 rows containing missing values (`geom_path()`). #> Warning: Removed 8 rows containing missing values (`geom_path()`).  CellDensityPlot(pancreas_sub, features = \"Lineage1\", group.by = \"SubCellType\", aspect.ratio = 1) #> Picking joint bandwidth of 0.663  CellDensityPlot(pancreas_sub, features = \"Lineage1\", group.by = \"SubCellType\", flip = TRUE) #> Picking joint bandwidth of 0.663"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDimPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"Visualize cell groups on a 2-dimensional reduction plot — CellDimPlot","title":"Visualize cell groups on a 2-dimensional reduction plot — CellDimPlot","text":"Plotting cell points reduced 2D plane coloring according groups.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDimPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Visualize cell groups on a 2-dimensional reduction plot — CellDimPlot","text":"","code":"CellDimPlot(   srt,   group.by,   reduction = NULL,   dims = c(1, 2),   split.by = NULL,   cells = NULL,   show_na = FALSE,   show_stat = TRUE,   pt.size = NULL,   pt.alpha = 1,   palette = \"Paired\",   palcolor = NULL,   bg_color = \"grey80\",   label = FALSE,   label.size = 4,   label.fg = \"white\",   label.bg = \"black\",   label.bg.r = 0.1,   label_insitu = FALSE,   label_repel = FALSE,   label_repulsion = 20,   label_point_size = 1,   label_point_color = \"black\",   label_segment_color = \"black\",   cells.highlight = NULL,   cols.highlight = \"black\",   sizes.highlight = 1,   alpha.highlight = 1,   stroke.highlight = 0.5,   add_density = FALSE,   density_color = \"grey80\",   density_filled = FALSE,   density_filled_palette = \"Greys\",   density_filled_palcolor = NULL,   lineages = NULL,   lineages_weights = NULL,   lineages_trim = c(0.01, 0.99),   lineages_span = 0.75,   lineages_palette = \"Dark2\",   lineages_palcolor = NULL,   lineages_arrow = arrow(length = unit(0.1, \"inches\")),   lineages_linewidth = 1,   lineages_line_bg = \"white\",   lineages_line_bg_stroke = 0.5,   lineages_whiskers = FALSE,   lineages_whiskers_linewidth = 0.5,   lineages_whiskers_alpha = 0.5,   stat.by = NULL,   stat_type = \"percent\",   stat_plot_type = \"pie\",   stat_plot_position = c(\"stack\", \"dodge\"),   stat_plot_size = 0.15,   stat_plot_palette = \"Set1\",   stat_palcolor = NULL,   stat_plot_alpha = 1,   stat_plot_label = FALSE,   stat_plot_label_size = 3,   graph = NULL,   edge_size = c(0.05, 0.5),   edge_alpha = 0.1,   edge_color = \"grey40\",   paga = NULL,   paga_type = \"connectivities\",   paga_node_size = 4,   paga_edge_threshold = 0.01,   paga_edge_size = c(0.2, 1),   paga_edge_color = \"grey40\",   paga_edge_alpha = 0.5,   paga_transition_threshold = 0.01,   paga_transition_size = c(0.2, 1),   paga_transition_color = \"black\",   paga_transition_alpha = 1,   paga_show_transition = FALSE,   velocity = NULL,   velocity_plot_type = \"raw\",   velocity_n_neighbors = ceiling(ncol(srt@assays[[1]])/50),   velocity_density = 1,   velocity_smooth = 0.5,   velocity_scale = 1,   velocity_min_mass = 1,   velocity_cutoff_perc = 5,   velocity_arrow_color = \"black\",   velocity_arrow_angle = 20,   streamline_L = 5,   streamline_minL = 1,   streamline_res = 1,   streamline_n = 15,   streamline_width = c(0, 0.8),   streamline_alpha = 1,   streamline_color = NULL,   streamline_palette = \"RdYlBu\",   streamline_palcolor = NULL,   streamline_bg_color = \"white\",   streamline_bg_stroke = 0.5,   hex = FALSE,   hex.linewidth = 0.5,   hex.count = TRUE,   hex.bins = 50,   hex.binwidth = NULL,   raster = NULL,   raster.dpi = c(512, 512),   aspect.ratio = 1,   title = NULL,   subtitle = NULL,   xlab = NULL,   ylab = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE,   force = FALSE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDimPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Visualize cell groups on a 2-dimensional reduction plot — CellDimPlot","text":"srt Seurat object. group.Name one meta.data columns group (color) cells (example, orig.ident). reduction dimensionality reduction use. specified, use reduction returned DefaultReduction. dims Dimensions plot, must two-length numeric vector specifying x- y-dimensions split.Name column meta.data column split plot . cells Subset cells plot. show_na Whether assign color color palette NA group. FALSE, cell points NA level colored bg_color. show_stat Whether show statistical information plot. pt.size Point size. pt.alpha Point transparency. palette Name color palette name collected SCP. Default \"Paired\". palcolor Custom colors used create color palette. bg_color Color value background(NA) points. label Whether label cell groups. label.size Size labels. label.fg Foreground color label. label.bg Background color label. label.bg.r Background ratio label. label_insitu Whether place raw labels (group names) center cells corresponding group. Default FALSE, using numbers instead raw labels. label_repel Logical value indicating whether label repel away center points. label_repulsion Force repulsion overlapping text labels. Defaults 20. label_point_size Size center points. label_point_color Color center points. label_segment_color Color line segment labels. cells.highlight vector cell names highlight. cols.highlight Color used highlight cells. sizes.highlight Size highlighted cell points. alpha.highlight Transparency highlighted cell points. stroke.highlight Border width highlighted cell points. add_density Whether add density layer plot. density_color Color density contours lines. density_filled Whether add filled contour bands instead contour lines. density_filled_palette Color palette used fill contour bands. density_filled_palcolor Custom colors used fill contour bands. lineages Lineages/pseudotime add plot. specified, curves fitted using loess method. lineages_trim Trim leading trailing data lineages. lineages_span parameter α controls degree smoothing loess method. lineages_palette Color palette used lineages. lineages_palcolor Custom colors used lineages. lineages_arrow Set arrows lineages. See arrow. lineages_linewidth Width fitted curve lines lineages. lineages_line_bg Background color curve lines lineages. lineages_line_bg_stroke Border width curve lines background. lineages_whiskers Whether add whiskers lineages. lineages_whiskers_linewidth Width whiskers lineages. lineages_whiskers_alpha Transparency whiskers lineages. stat.name metadata column stat. stat_type Set stat types (\"percent\" \"count\"). stat_plot_type Set statistical plot type. stat_plot_position Position adjustment statistical plot. stat_plot_size Set statistical plot size. Defaults 0.1 stat_plot_palette Color palette used statistical plot stat_palcolor Custom colors used statistical plot stat_plot_alpha Transparency statistical plot. stat_plot_label Whether add labels statistical plot. stat_plot_label_size Label size statistical plot. graph Specify graph name add edges cell neighbors plot. edge_size Size edges. edge_alpha Transparency edges. edge_color Color edges. paga Specify calculated paga results add PAGA graph layer plot. paga_type PAGA plot type. \"connectivities\" \"connectivities_tree\". paga_node_size Size nodes PAGA plot. paga_edge_threshold Threshold edge connectivities PAGA plot. paga_edge_size Size edges PAGA plot. paga_edge_color Color edges PAGA plot. paga_edge_alpha Transparency edges PAGA plot. paga_transition_threshold Threshold transition edges PAGA plot. paga_transition_size Size transition edges PAGA plot. paga_transition_color Color transition edges PAGA plot. paga_transition_alpha Transparency transition edges PAGA plot. paga_show_transition Whether show transitions edges. velocity Specify calculated RNA velocity mode add velocity layer plot. velocity_plot_type Set velocity plot type. velocity_n_neighbors Set number neighbors used velocity plot. velocity_density Set density value used velocity plot. velocity_smooth Set smooth value used velocity plot. velocity_scale Set scale value used velocity plot. velocity_min_mass Set min_mass value used velocity plot. velocity_cutoff_perc Set cutoff_perc value used velocity plot. velocity_arrow_color Color arrows velocity plot. velocity_arrow_angle Angle arrows velocity plot. streamline_L Typical length streamline x y units streamline_minL Minimum length segments show. streamline_res Resolution parameter (higher numbers increases resolution). streamline_n Number points draw. streamline_width Size streamline. streamline_alpha Transparency streamline. streamline_color Color streamline. streamline_palette Color palette used streamline. streamline_palcolor Custom colors used streamline. streamline_bg_color Background color streamline. streamline_bg_stroke Border width streamline background. hex Whether chane plot type point hexagonal bin. hex.linewidth Border width hexagonal bins. hex.count Whether show cell counts hexagonal bin. hex.bins Number hexagonal bins. hex.binwidth Hexagonal bin width. raster Convert points raster format, default NULL automatically rasterizes plotting 100,000 cells raster.dpi Pixel resolution rasterized plots, passed geom_scattermore(). Default c(512, 512). aspect.ratio Aspect ratio panel. title text title. subtitle text subtitle plot displayed title. xlab x-axis label. ylab y-axis label. legend.position position legends (\"none\", \"left\", \"right\", \"bottom\", \"top\"). legend.direction Layout items legends (\"horizontal\" \"vertical\") theme_use Theme used. Can character string theme function. example, \"theme_blank\" ggplot2::theme_classic. theme_args arguments passed theme_use. combine Combine plots single patchwork object. FALSE, return list ggplot objects. nrow Number rows combined plot. ncol Number columns combined plot. byrow Logical value indicating plots arrange row (default) column. force Whether force drawing regardless maximum levels cell group greater 100. seed Random seed set reproducibility","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDimPlot.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Visualize cell groups on a 2-dimensional reduction plot — CellDimPlot","text":"single ggplot/patchwork object combine = TRUE; otherwise, list ggplot objects","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDimPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Visualize cell groups on a 2-dimensional reduction plot — CellDimPlot","text":"","code":"library(dplyr) #>  #> Attaching package: ‘dplyr’ #> The following object is masked from ‘package:AnnotationDbi’: #>  #>     select #> The following objects are masked from ‘package:IRanges’: #>  #>     collapse, desc, intersect, setdiff, slice, union #> The following objects are masked from ‘package:S4Vectors’: #>  #>     first, intersect, rename, setdiff, setequal, union #> The following object is masked from ‘package:Biobase’: #>  #>     combine #> The following objects are masked from ‘package:BiocGenerics’: #>  #>     combine, intersect, setdiff, union #> The following objects are masked from ‘package:stats’: #>  #>     filter, lag #> The following objects are masked from ‘package:base’: #>  #>     intersect, setdiff, setequal, union data(\"pancreas_sub\") CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\")  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", theme_use = \"theme_blank\", show_stat = FALSE)  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", theme_use = ggplot2::theme_classic, theme_args = list(base_size = 16))  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\") %>% panel_fix(height = 2, raster = TRUE, dpi = 30)   # Label and highlight cell points CellDimPlot(pancreas_sub,   group.by = \"SubCellType\", reduction = \"UMAP\", label = TRUE, label_insitu = TRUE,   cells.highlight = colnames(pancreas_sub)[pancreas_sub$SubCellType == \"Epsilon\"] )  CellDimPlot(pancreas_sub,   group.by = \"SubCellType\", split.by = \"Phase\", reduction = \"UMAP\", show_stat = FALSE,   cells.highlight = TRUE, theme_use = \"theme_blank\", legend.position = \"none\" )   # Add a density layer CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", label = TRUE, add_density = TRUE)  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", label = TRUE, add_density = TRUE, density_filled = TRUE) #> Warning: Removed 396 rows containing missing values (`geom_raster()`).   # Add statistical charts CellDimPlot(pancreas_sub, group.by = \"CellType\", reduction = \"UMAP\", stat.by = \"Phase\")  CellDimPlot(pancreas_sub, group.by = \"CellType\", reduction = \"UMAP\", stat.by = \"Phase\", stat_plot_type = \"ring\", stat_plot_label = TRUE, stat_plot_size = 0.15) #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`).  CellDimPlot(pancreas_sub, group.by = \"CellType\", reduction = \"UMAP\", stat.by = \"Phase\", stat_plot_type = \"bar\", stat_type = \"count\", stat_plot_position = \"dodge\")   # Chane the plot type from point to the hexagonal bin CellDimPlot(pancreas_sub, group.by = \"CellType\", reduction = \"UMAP\", hex = TRUE) #> Warning: Removed 5 rows containing missing values (`geom_hex()`).  CellDimPlot(pancreas_sub, group.by = \"CellType\", reduction = \"UMAP\", hex = TRUE, hex.bins = 20) #> Warning: Removed 4 rows containing missing values (`geom_hex()`).  CellDimPlot(pancreas_sub, group.by = \"CellType\", reduction = \"UMAP\", hex = TRUE, hex.count = FALSE) #> Warning: Removed 5 rows containing missing values (`geom_hex()`).   # Show neighbors graphs on the plot pancreas_sub <- Standard_SCP(pancreas_sub) #> [2023-09-08 15:23:05.591646] Start Standard_SCP #> [2023-09-08 15:23:05.591854] Checking srtList... ... #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-08 15:23:06.606901] Finished checking. #> [2023-09-08 15:23:06.607123] Perform ScaleData on the data... #> [2023-09-08 15:23:06.742355] Perform linear dimension reduction (pca) on the data... #> [2023-09-08 15:23:07.604861] Perform FindClusters (louvain) on the data... #> [2023-09-08 15:23:07.734326] Reorder clusters... #> [2023-09-08 15:23:07.999694] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-08 15:23:17.532895] Standard_SCP done #> Elapsed time: 11.94 secs  CellDimPlot(pancreas_sub, group.by = \"CellType\", reduction = \"UMAP\", graph = \"Standardpca_SNN\")  CellDimPlot(pancreas_sub, group.by = \"CellType\", reduction = \"UMAP\", graph = \"Standardpca_SNN\", edge_color = \"grey80\")   # Show lineages on the plot based on the pseudotime pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", show_plot = FALSE) FeatureDimPlot(pancreas_sub, features = paste0(\"Lineage\", 1:3), reduction = \"UMAP\")  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", lineages = paste0(\"Lineage\", 1:3)) #> Warning: Removed 8 rows containing missing values (`geom_path()`). #> Warning: Removed 8 rows containing missing values (`geom_path()`).  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", lineages = paste0(\"Lineage\", 1:3), lineages_whiskers = TRUE) #> Warning: Removed 8 rows containing missing values (`geom_segment()`). #> Warning: Removed 8 rows containing missing values (`geom_path()`). #> Warning: Removed 8 rows containing missing values (`geom_path()`).  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", lineages = paste0(\"Lineage\", 1:3), lineages_span = 0.1)   # Show PAGA results on the plot pancreas_sub <- RunPAGA(srt = pancreas_sub, group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\", return_seurat = TRUE) #> Warning: SCP_env python environment does not exist. Create it with the PrepareEnv function... #> + /usr/share/miniconda/bin/conda 'create' '--yes' '--name' 'SCP_env' 'python=3.8' '--quiet' '-c' 'conda-forge' #> Try to install numpy==1.21.6,numba==0.55.2,scikit-learn==1.1.2,pandas==1.3.5,python-igraph==0.10.2,matplotlib==3.6.3,palantir==1.0.1,wot==1.0.8.post2,scipy,versioned-hdf5,leidenalg,scanpy,scvelo ... #> ====================== SCP conda environment ====================== #> conda: /usr/share/miniconda/bin/conda #> environment: /usr/share/miniconda/envs/SCP_env #> ======================== SCP python config ======================== #> python:         /usr/share/miniconda/envs/SCP_env/bin/python3.8 #> libpython:      /usr/share/miniconda/envs/SCP_env/lib/libpython3.8.so #> pythonhome:     /usr/share/miniconda/envs/SCP_env:/usr/share/miniconda/envs/SCP_env #> version:        3.8.17 | packaged by conda-forge | (default, Jun 16 2023, 07:06:00)  [GCC 11.4.0] #> numpy:          /usr/share/miniconda/envs/SCP_env/lib/python3.8/site-packages/numpy #> numpy_version:  1.21.6 #>  #> NOTE: Python version was forced by use_python() function #> =================================================================== #> 'misc' slot is not converted. #> 'tools' slot is not converted. CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", paga = pancreas_sub@misc$paga)  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", paga = pancreas_sub@misc$paga, paga_type = \"connectivities_tree\")  CellDimPlot(pancreas_sub,   group.by = \"SubCellType\", reduction = \"UMAP\", pt.size = 5, pt.alpha = 0.2,   label = TRUE, label_repel = TRUE, label_insitu = TRUE, label_segment_color = \"transparent\",   paga = pancreas_sub@misc$paga, paga_edge_threshold = 0.1, paga_edge_color = \"black\", paga_edge_alpha = 1,   show_stat = FALSE, legend.position = \"none\", theme_use = \"theme_blank\" )   # Show RNA velocity results on the plot pancreas_sub <- RunSCVELO(srt = pancreas_sub, group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\", mode = \"stochastic\", return_seurat = TRUE) #> 'misc' slot is not converted. #> 'tools' slot is not converted. #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from variance_stochastic_ to variancestochastic_ #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from variance_velocity_ to variancevelocity_ CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", paga = pancreas_sub@misc$paga, paga_show_transition = TRUE)  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", pt.size = NA, velocity = \"stochastic\") #> Warning: Removed 1000 rows containing missing values (`geom_point()`). #> Warning: Removed 1000 rows containing missing values (`geom_point()`). #> Warning: Removed 4 rows containing missing values (`geom_segment()`).  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", pt.size = 5, pt.alpha = 0.2, velocity = \"stochastic\", velocity_plot_type = \"grid\") #> Warning: Removed 14 rows containing missing values (`geom_segment()`).  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", pt.size = 5, pt.alpha = 0.2, velocity = \"stochastic\", velocity_plot_type = \"grid\", velocity_scale = 1.5) #> Warning: Removed 14 rows containing missing values (`geom_segment()`).  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", pt.size = 5, pt.alpha = 0.2, velocity = \"stochastic\", velocity_plot_type = \"stream\")  CellDimPlot(pancreas_sub,   group.by = \"SubCellType\", reduction = \"UMAP\", pt.size = 5, pt.alpha = 0.2,   label = TRUE, label_insitu = TRUE,   velocity = \"stochastic\", velocity_plot_type = \"stream\", velocity_arrow_color = \"yellow\",   velocity_density = 2, velocity_smooth = 1, streamline_n = 20, streamline_color = \"black\",   show_stat = FALSE, legend.position = \"none\", theme_use = \"theme_blank\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDimPlot3D.html","id":null,"dir":"Reference","previous_headings":"","what":"3D-Dimensional reduction plot for cell classification visualization. — CellDimPlot3D","title":"3D-Dimensional reduction plot for cell classification visualization. — CellDimPlot3D","text":"Plotting cell points reduced 3D space coloring according groups cells.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDimPlot3D.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"3D-Dimensional reduction plot for cell classification visualization. — CellDimPlot3D","text":"","code":"CellDimPlot3D(   srt,   group.by,   reduction = NULL,   dims = c(1, 2, 3),   axis_labs = NULL,   palette = \"Paired\",   palcolor = NULL,   bg_color = \"grey80\",   pt.size = 1.5,   cells.highlight = NULL,   cols.highlight = \"black\",   shape.highlight = \"circle-open\",   sizes.highlight = 2,   lineages = NULL,   lineage_palette = \"Dark2\",   span = 0.75,   arrow_reverse = FALSE,   width = NULL,   height = NULL,   save = NULL,   force = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDimPlot3D.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"3D-Dimensional reduction plot for cell classification visualization. — CellDimPlot3D","text":"srt Seurat object. group.Name one meta.data columns group (color) cells (example, orig.ident). reduction dimensionality reduction use. specified, use reduction returned DefaultReduction. dims Dimensions plot, must two-length numeric vector specifying x- y-dimensions palette Name color palette name collected SCP. Default \"Paired\". palcolor Custom colors used create color palette. bg_color Color value background(NA) points. pt.size Point size. cells.highlight vector cell names highlight. cols.highlight Color used highlight cells. shape.highlight Shape cell highlight. See scattergl-marker-symbol sizes.highlight Size highlighted cell points. lineages Lineages/pseudotime add plot. specified, curves fitted using loess method. width Width pixels, defaults automatic sizing. height Height pixels, defaults automatic sizing. force Whether force drawing regardless maximum levels cell group greater 100.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellDimPlot3D.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"3D-Dimensional reduction plot for cell classification visualization. — CellDimPlot3D","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- Standard_SCP(pancreas_sub) #> [2023-09-08 15:26:46.628599] Start Standard_SCP #> [2023-09-08 15:26:46.628834] Checking srtList... ... #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-08 15:26:47.919085] Finished checking. #> [2023-09-08 15:26:47.919318] Perform ScaleData on the data... #> [2023-09-08 15:26:48.06459] Perform linear dimension reduction (pca) on the data... #> [2023-09-08 15:26:48.932478] Perform FindClusters (louvain) on the data... #> [2023-09-08 15:26:49.063243] Reorder clusters... #> [2023-09-08 15:26:49.290613] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-08 15:26:57.870892] Standard_SCP done #> Elapsed time: 11.24 secs  CellDimPlot3D(pancreas_sub, group.by = \"SubCellType\", reduction = \"StandardpcaUMAP3D\")  {\"x\":{\"visdat\":{\"8ff146d68879\":[\"function () \",\"plotlyVisDat\"],\"8ff162851a16\":[\"function () \",\"data\"]},\"cur_data\":\"8ff162851a16\",\"attrs\":{\"8ff162851a16\":{\"alpha_stroke\":1,\"sizes\":[10,100],\"spans\":[1,20],\"x\":[-5.6886261636056004,3.4359456366263332,-5.3666280442513523,3.7621866530142727,-5.872935169342905,-6.1831148797310886,2.2261005705557766,2.4181076353751125,3.398643142577261,4.2351423567496242,3.9708577460013332,2.1073290175162258,2.9162017172537746,3.7651683157645168,-5.3833645516671238,-5.1829670602120457,3.8295599287711086,1.5391832655631006,-5.4914945298470554,3.8172012633048,2.793688661452383,2.0342673128806057,3.9640418356619778,2.4987086123190823,3.6219369238577785,0.99059940039739014,-5.4327911073006687,4.2884904211722317,2.9429088896475735,4.0921779936514797,-5.3985317879952488,-2.0335786277092991,4.3770376509390774,4.0545412367545071,4.1104151076041164,3.2023011511527004,0.38131273448094727,-5.9616588288582859,2.6003462141714992,2.5475879973135891,3.3667727774344387,-5.5798309975899754,3.030913478728384,3.847624904509634,4.0858694380484524,3.9018045729361477,4.1920338934622707,-2.6897437506951389,4.0187827414236965,-4.206093185547739,3.6923328703604641,2.1945270365439358,3.9449616736136379,3.8722015684805813,2.2298027342520657,-4.7807520562447605,-2.6104623013772068,4.3668023413382473,3.7688914602957668,3.2212067908011379,3.7928448981009426,-0.54905425846949218,4.0713917082510891,-5.9773162537850437,-5.0173948937691746,3.3210197752676907,3.708708888884634,4.2753692930899563,-5.7239893609322605,1.6613651579581201,4.114228851195425,-1.8538612061776221,3.6917172735892239,4.8378187483511867,-4.9453610116280613,-0.83209495336189865,3.3578559225760403,-5.2147434884347019,-5.35839688122645,4.3068496054373684,4.8751646345816555,4.1845375364981594,4.1118885344229641,4.1085463827811184,4.2631312674246731,-5.3330701524056492,4.57820618807897,2.0549773043356838,3.2613741224966946,-5.9224170380868015,3.6750012701712551,-5.5498193436898289,2.2872663801871242,3.8686019247733059,3.7571336096487942,0.098260707255452884,3.8851114577017727,-5.919978969696909,-5.3041442567147312,4.1570006674490871,3.8757530516348782,3.4961906737051907,-6.1821497613228855,2.6465786761008205,-5.32397305310145,-2.8081093961037693,1.0950797861777246,2.9624165362082424,-5.6242302590645847,-5.2006577187813816,4.4909569090567532,-5.503446930054575,-5.8125513726510105,-4.4374476605691013,4.3201953238211575,2.3921674555502834,4.0995417898856106,-5.3745692902840672,-6.37182461560145,3.8413716620169582,2.2736622160635891,-5.2250226670540867,3.4526020353995266,-5.3119543725289402,2.6745559042654934,3.217281944151968,-6.477021091584116,-5.1964877778328953,3.3088890379630032,-6.1476582223214207,-5.6930960351265965,3.70802796542272,3.3083731001578274,-5.8063710862435398,4.3496514624319973,3.6548677748404446,3.8021856611929836,-5.7689450913704929,2.4691897696219387,-5.2924097710885105,-5.8526018792428074,-5.672373645905405,-5.6623295480050144,4.1558662718497219,-4.8945668870247898,3.2827888792715969,-5.5241459542550144,4.3123055762015285,3.2845560377798977,-1.624504380825907,-5.9470547372139988,3.8091121977530422,-5.6904171639718113,3.6057592695914211,-4.3515030080117283,-5.7528332406319675,3.2486630743704739,4.1241923636160793,2.8195403879843655,4.6197644537650051,3.9772955244742336,3.7943307226859035,2.5913709467612209,3.9710031813345852,3.8011189764700832,3.296350604888052,4.3865267103873196,3.8908783262930813,3.3374468153677883,-4.4706221753396092,3.2570606535635891,3.8364697760306301,4.2860552138052883,2.4976972407065334,-6.2177075082100925,4.953642970915884,3.0680788820944729,-5.4631804162301121,-1.3357294732369482,4.1042176550589504,4.063956863280386,3.5586420363150539,4.2045790022574367,-5.9334925347603855,-5.5754865342415867,-2.4768989020623264,-5.7706888848580418,-1.037919633988291,4.0581241911612453,2.435252553816885,2.3759418791495266,2.7511712378226223,3.2716742819510403,-6.1108916932381687,2.4087811773978176,4.309628135558218,4.9434748953543606,4.0921040838919582,-5.7354863816536961,4.7850753134451809,1.5081285303793848,3.1360293692313137,-0.72175849691405891,3.5372740095816555,2.3448590105734768,3.9707208937369289,2.9682651823721828,0.64330697714909912,3.1923199957571926,3.8910366362296047,3.86671937167272,-3.0602270299233494,-5.4041060143746433,-5.8222106629647312,-5.4442418748177586,-1.4495434695519507,-5.7719706231392918,4.0788031882010403,2.8299533194266262,3.8279835051260891,2.2619544333182278,-4.2111350232399998,-6.4100536042489109,4.3074675863943996,4.2125812834464016,3.278535491820425,4.8723198240958157,3.7191401785574856,0.23066902815923096,4.1810804671011867,2.9881712263785305,2.3492690390311184,-5.6914991074837742,4.1613327330313625,2.7096418207846584,1.9107128447256982,4.1415544813834133,3.9326931303702297,-6.0249489480294285,-5.4014824563302097,4.0656186407767239,3.9642750090323391,0.70927036463841797,4.6895667380057278,4.2933746641837063,-5.2602528268136082,4.1233750647269192,2.7530199354849758,-5.8193434411324558,-6.1109894448556004,-1.0728792184628546,-5.458196514252573,3.6278320616446438,-5.9495462113656101,3.2712379759512844,2.9602612322531643,2.2454253500662746,-5.9845112496651707,-3.1521202260293064,3.6474958723746242,-6.0393150979317722,-5.7518080407418308,-5.7148393327035008,-2.0283108884133396,3.2670952147208157,-5.9730290108956394,-6.0209578210152683,2.3493365114890041,-5.3508690530098972,2.1166299647055569,-5.8466519051827488,-5.1293190652169285,4.5781961744986477,-5.8394626313485203,-6.0309356385506687,4.4323755568228664,-5.3975976640023289,3.7564607924185696,-5.6858676606453953,-5.7005304032601414,2.5634144610129299,4.5063401526175442,4.1718541449271145,4.540925628539175,-4.5778638058938084,-4.364221208695322,3.5970946615897121,2.1566151446066799,-6.0058206254281101,3.7745324438773098,3.1083837813101711,1.3716536825858057,-5.9610012704171238,3.0642060106955471,-5.7542136842049656,3.4612490004263821,3.6092368429861965,-5.5800021821297703,3.1013876265250149,-6.3277510339058933,2.3361758059225979,2.6442028349600735,3.6401864355765285,-5.8642514878548679,-6.03074156582728,4.1436320608817043,-5.7518442803658543,3.8260375326834621,1.272380716200918,-5.3374651604928074,-5.1970995599068699,3.797756797667593,3.2268775767050686,-5.1002482110299168,1.0198576515875757,0.31130755602940918,0.48062289416417481,4.2756167715750637,-5.9069336587227879,3.9822994536124172,2.7996984785757961,3.729941970702261,4.0360781019888821,4.5250836676321926,-5.6807621651925144,-5.7964295083321629,-6.2621782952584324,4.3417240446768703,3.8146392172537746,-2.3665174180306492,2.9567765063010158,3.9070087736807766,-5.3787101441659031,4.0860859221182766,-5.9691227608956394,3.6438437765799465,3.4250918692313137,-4.2681220704354343,3.875729209776968,-5.8648399049080906,-5.5565107995308933,3.5692497557364407,3.9789401358328762,-5.6811984711922703,4.2586289709769192,1.7590841120444238,3.5297552412711086,2.3529039686881008,-6.1315530473031101,3.7280699080191555,-5.3548949891366062,3.2782713240347805,-6.2212966614998875,3.5055633848868313,-5.4770072633065281,-0.9730303221978247,3.6990600889883938,3.7497507399283352,-5.3982642823494968,-5.8888567620553074,3.8859354323111477,3.5195432966910305,-3.8963805371560154,1.8053032225333154,1.4098991221152246,3.5934301680289211,2.5643507307730617,2.7622026270590725,3.8044158285818996,-5.9591859513558445,4.1719976729117336,3.64369691073522,-5.4930647546090183,-5.7994507485665379,-5.3392757111825047,3.3259717291556301,-5.4468868905343113,-6.3571780854500828,3.2842856711111965,2.3560041254721584,-5.2326768571175633,3.7973028486929836,3.8533784216605129,-6.110382907990366,-5.2379931145943699,4.0392576521597805,-5.8231190377511082,1.1200755900107324,4.1074754065237942,2.8175944155417385,4.5524135893546047,-5.6430138284005222,-0.59149248242750763,-3.3063419991768894,-0.87759719878807663,-0.5074914628304541,4.0615278547964992,4.4845186537466946,-6.1248058015145359,2.3313630884848537,-6.0432237321175633,4.2014442747794094,3.8849631613455715,-3.2771187955178318,4.2126609152518215,3.7082096403799953,4.0735517805777492,4.3654242819510403,1.9640537565909326,2.6016289061270657,3.8542548483572903,3.0065325564108791,4.0419470137320461,4.1198397940360012,-6.0586279565133152,-5.1990746194161472,4.7570358580313625,3.9814606970511379,-0.085499518517404782,2.8601588076315823,2.3237930601798,3.5537105864249172,4.019373065825552,3.6876221960745754,-5.7977875405587254,-5.6799820596016941,4.0421482390128078,-5.2353085213936863,4.1839581793509426,3.8697253531180325,-5.2171081239022312,3.1247845953665676,-5.2775639230050144,4.3466187781058254,4.229857570525259,-5.8318871194161472,-4.0895787411965427,3.4561802214346828,-0.86872646302357315,-5.2169026070870457,-5.7484263116158543,2.4695133036337795,-5.0677164727486668,-5.508423679474741,-5.7000273400582371,-2.384531849030405,1.4761222666464746,3.864562160369009,-3.9497762852944431,4.8315531080923977,3.0862537687979641,-5.9344409638680515,-3.4777868920601902,0.21113300978764893,4.840610629912466,4.8818041151724758,-6.0327304536141453,4.0719081228934231,2.6357158487997951,4.2293235129080715,3.840809947844595,3.3152538603506985,3.6268993681631985,3.0060921972952785,4.0086442297659817,-5.1835802727974949,2.4848958319388332,-6.2344092065133152,-5.5369199448861179,-6.3334220582284031,-6.2132896119393406,-5.066432827118784,-1.4480543667115271,3.3920031851492825,4.4146901434622707,-5.7791112595833836,3.1617196863852444,-3.8526743584908543,-5.9049895936287937,3.5681854551993313,3.6677147215567532,-5.6211966210640965,3.6967369383536282,4.1724149054251614,3.472437030669302,-4.7719811135567722,3.929534084197134,2.6585174864493313,2.4152344530783596,-5.0892194443978367,3.7046052283011379,3.3906790083609524,4.7917453116141262,2.8252738779745998,4.0964404410086575,3.8458415335379543,-6.1054814988411961,1.3883909052573145,2.5578230684958401,4.1579734152518215,3.1511603659354153,-5.3443311387337742,-3.804554575089365,3.9519139593802395,-5.7158354455269871,3.0774141615591946,3.7683998411856594,-5.7632640534676609,3.9628754919730129,-5.5107792550362644,3.9301687544547024,4.6595903700552883,4.1110025709830227,-5.9925340348519383,-4.9079335862435398,-6.0116313630379734,4.0381800001822414,-5.4791096383370457,4.6404048269949856,-5.9147142106331883,3.2200423544608059,4.5811253851614895,2.5719155138693752,-5.3072446519173679,3.4785252875052395,4.7884126967154446,4.8735128706656399,0.93153310477361084,-5.5963596040047703,1.4240881270132959,4.1605702704153957,4.401481277342886,4.4116336172781887,2.2761439150534573,-5.4898661309517918,-5.9866064721383152,0.052783197756856692,4.2244850462637844,3.0144556826315823,-5.5977681809701023,-6.0059684449471531,-5.1179498368538914,-5.9642866784371433,4.755299693938345,-5.2662986451424656,-5.939667575959116,2.5774887865744533,3.598171836730093,3.0617722338400783,-5.761318081025034,3.9120718306265774,2.3118149107657375,-0.94558409691229461,4.7828432387076321,-5.7654126817025242,0.027312404509633792,4.2756439512930813,1.9600929087363184,-1.161150538329035,2.0367411440573635,-5.0087841683663425,3.975620395537466,3.1880821055136623,2.7272015875540676,4.3192216223441067,3.8340650862418117,2.8559435671530666,3.5511461561881008,-1.1332349711693823,-5.4355901414193211,-3.4096795254983006,2.4791776007376614,4.6648203200064602,4.1341716116629543,2.2596844500266018,-2.2627447778023777,-5.6280082398690281,3.6935759848318996,0.045447177287191165,-4.5587662392891941,4.2700878447256985,3.568332797881216,0.053109652396291507,-5.3360952073372898,2.4490696257315578,4.8878732985220852,-5.5685132676400242,-6.0200279885567722,2.4781998461447658,-5.3996018105782566,3.8232137030325832,2.8570469683371487,3.0393348997794094,-5.3638433152474461,-4.6927961045540867,-5.9462650948800144,-6.0231627160347996,-5.7078756028451023,4.3533126181326809,3.3287721937857571,-5.3460568124093113,4.0853062933646145,3.2402073210440578,-6.1529258424080906,3.6316906279288235,3.9792114561758938,-5.3954003983773289,-5.3247002297677097,4.1878510779105129,3.7272607153616848,-1.2834967309273779,-4.200078838471323,4.2237268751822414,3.784641391631216,3.8982225722037258,-3.4720481568612156,3.3765975302420559,-5.1755126649178562,4.7304683989249172,4.2413960760794582,-5.0755652123726902,-5.8730138474740086,0.63916409670934082,-5.2855743104256687,-5.9280646973885593,-5.8428872758187351,3.1702209776602688,-1.5372922354973853,3.2740551298819485,3.9582825964652004,-5.8968070679940281,-5.4941357308663425,3.8447271650992336,-5.9965819054879246,3.6187459295950832,-5.6920345956124363,4.2110291784964504,-1.2227924102582037,-4.1958619290627537,3.6590329474173489,4.1788326567374172,3.7835108107291164,4.2851477926932278,-4.472365968827158,2.32739413439855,3.7456418341360989,-5.5271786385811863,-1.2761777573861182,2.6533113783560696,4.0993858641348782,3.3688551253043117,3.51955140292272,0.9623799389563501,-6.0224155122078953,-4.9960721665658054,-4.1175070935524998,3.8025161093436184,4.1205469435416164,-5.2678822213448582,-5.5907281571663914,-5.6040223771370945,3.7243415182791653,3.85278475939855,-5.5447462731637058,-5.2768815690316258,-1.0130716794766486,3.7916637724600735,-1.6983771258629858,2.3243960207663479,-5.9584807091988621,-5.6282089883126316,-0.42723717630282043,-5.5163015061654148,3.1376510924063625,-5.6191514664925633,-5.7415689164437351,4.206941253539175,-5.2534431153573093,3.9675642317496242,-6.0725492173470554,1.9586480921469629,4.1869531935416164,-6.2223313981331883,3.8577367132864895,3.9003025358878078,-5.4860662156380711,-5.8056019479073582,3.5305005377493801,-6.1973417931832371,-5.3344272309578953,-5.4571069413460789,3.975402004119009,3.6755405729971828,3.9099475210867825,4.2384554213248196,0.26568508803471924,-5.1797989541329441,3.2572733229361477,4.3663502997122707,-5.3959749871529636,-5.925296180848032,-5.6979926759041843,2.9078658884726467,3.1994730299673977,-5.936590068940073,4.2089210814200344,-6.0896280938424168,3.9946595495902004,0.054381198283284915,3.6767584150992336,3.7615333861075344,4.8140150374136867,-6.4130009347237644,-5.9415091210640965,2.0899595087729397,-5.3260720902718601,3.7020202940665188,-1.6567391091622412,-5.5412248307503758,-5.6700743371285496,-5.2964433366097508,-5.8124340707100925,-5.5755661660470066,2.9057635134421291,3.9530860251151028,1.3539816206656397,4.2713748282156887,3.7435547178946438,-5.8213099175728855,2.9427110022269192,4.6808501547537746,3.6478635138235989,4.4028011625967922,4.4463373488150539,-6.1728409463204441,-5.7990935975350437,-5.689214580658823,-5.6546972924508152,1.1747036045752466,-5.5775760346688328,-5.4664224320687351,4.2264033621512356,-5.6370757752694187,4.0269590681754055,-5.3465093308724461,3.6384803122244778,3.0052238768301907,-5.3552411729134617,-6.0912598305977879,3.7730208700858059,3.4275070494376125,3.6208459204398098,-5.9925941163338718,-5.4850720101632175,-5.6369341546334324,-4.8173636132515965,3.9032551115714016,-5.7200759583748875,2.9863430327139797,4.0981928175650539,3.4018317526541653,4.6671968764029446,3.8511496847830715,1.6804815596304834,3.8968588179312649,3.834314472075552,3.5979048079214992,4.4432860678397121,4.7364717787466946,-5.3801878625191746,2.2328699892722073,-5.7004131013192234,2.710779315825552,3.4951072996817532,3.1732744044028225,-5.6688474351204929,4.6734758681021633,3.1907359427176418,-2.8448234730996189,3.9047581022940578,4.7213956183157864,3.4439202612601223,3.2129169768057766,-5.8644889527596531,3.3282324141226711,3.5844150847159328,4.6877924269400539,-5.7232388192452488,-5.2029036217965183,-5.2021268540658054,-5.2785514527596531,3.6263157194815578,2.479031211730093,3.5073601072989407,-5.2538922959603367,-3.0699297124184666,-6.25950133145228,-0.72990534544363617,3.7311569517813625,-5.8988321954049168,-5.7185310059823093,-5.4856384927071629,-5.2154592210091648,1.5948706930838525,-5.2093313866890965,-5.3409093552865086,-6.0478628808297215,3.8831917113028469,-6.3964275056160984,3.9812675780020657,4.1653372114859524,2.3977209395132961,2.9845653837881985,4.4032703703604641,3.4935313528738918,2.7370964354239407,3.7417784994803371,-5.8190969163216648,4.1854006117545071,3.6822696989737453,-4.2920180493630467,-5.8522084885872898,3.5731941527090969,1.7521566218100488,-5.8279870682992039,2.7569011515341701,4.248017913695425,4.098847991820425,-5.4763725930489597,4.1806789702139797,4.0674892729483547,4.1557580298148098,2.5360230272971096,-5.1990946465767918,3.1759957140646877,3.3869148558340969,4.0969482725821438,3.3270999258719387,-6.1945279771126804,-5.7646449738778172,-5.7636789017952976,-5.1860245400704441,4.5106087988577785,4.19380677401647,1.4348169630728662,3.0483075445853176,1.3041571444235742,3.0737329786978664,-5.1791127854622898,1.1023757523261011,4.0267154043875637,-6.0973647767342625,3.6752859419547024,3.9452782934866848,1.7036799257956445,-5.7025231057442722,2.6535900896750393,0.59107614218816162,2.3053306406699123,3.3949061697684231,-4.742568605545908,-5.3095802003182468,4.11096347033605,3.2922116583548489,-5.3414553338326511,-5.8058999711312351,3.946593410369009,-5.8377684289254246,2.3679226702414455,2.9427760904990139,1.3651951616965234,-2.5972028905190525,4.2035375899039211,3.466514236327261,-5.7322076493538914,-2.0195505553521214,-5.7662848168648777,-5.9279640847481785,4.3577228850089016,4.2267390555106106,-5.7661789590157566,3.7150350874625149,-5.8282102280892429,4.1812874144278469,-3.0853332215584812,-5.0930021935738621,-4.6041163140572605,-5.9298237496651707,4.4462629622183742,-1.1161883407868445,2.9753459757529201,-1.4426591330803931,-5.3608812028206883,3.1076239412985744,-5.6868876153267918,-5.4807642632760105,-0.39783977806940674,3.6715747183524075,-6.0093773537911472,2.7764593428336086,-5.3116773301400242,4.1185156172476711,2.7369030779562893,-5.5967267686165867,4.0319467848502102,4.0021592444144192,4.0022865599356594,-5.8418825799264011,1.6526974505148828,1.1953849858008325,2.820102817412466,4.2609082525931301,4.1749731367789211,4.3862692183218899,4.3566633528433742,-2.4362351828850803,3.3300324743948879,4.012112266417593,-5.6537359887398777,-2.8257852727212009,3.0882600611411037,0.37636244952306153,-0.12059801161661743,-4.0914295846261082,-4.4639335805214939,-5.920357101563364,-5.0288318330086765,-5.9399326974190769,-6.493007534150034,3.1518148249350491,4.3253170317374172,3.7653600043021145,3.1259836024008694,-2.6130442553795872,3.4876762694083157,-5.858338230255991,-5.0883473092354832,3.8392578428946438,-3.0593122178353367,-6.0411423379220066,-5.8218725854195652,0.73053050696477295,3.9582296675406399,-3.4760218793191013,1.3216131991110742,3.2579966849051418,3.1491898363791408,-6.5008796387948093,3.4683419531546535,3.6988960570059719,4.2128936117850246,4.2010084456168117,3.8220959967337551,-5.3025659257210789,-4.2893997365273533,-6.0911062890328465,2.067372447844595,-5.4109014207161961,4.6016327208243313,4.5009285277090969,-4.0317429238595066,-5.2523106271065769,4.2790666884146633,-5.1373242074288425,3.7997213667593899,4.8305007284842434,3.3830891913138332,3.4761420553885403,0.63557816207036377,-5.7402013474740086,3.9067779844962063,4.2600380247794094,-5.9681919747628269,3.1113175219260158,3.7827926939688625,2.5168422526083889,-4.990298622254282,3.9831935232840481,4.1178962057791653,-5.845271938446909,-5.4591568642891941,-6.054481857422739,2.3576153582297268,3.7698017424307766,3.6942468947134914,3.8944641417227688,4.6226311987601223,2.5652514761649075,-5.1815284425057468,-5.5244868928231297,4.1578036612235012,4.2988306349478664,-5.4960130387581883,-5.8595412904061375,3.6086574858389797,4.1299988096915188,-2.9065550500191746,-6.0575002366341648,-5.3156188660897312,4.0152269667349758],\"y\":[-2.4239424188975245,4.5609880963917817,-1.3609242161158472,-1.4919820149783045,-1.060248257720843,-0.0031989534739405023,5.2746326009389009,-1.9571644981745631,-2.0396699627283961,0.50371637741290032,2.8119253198262304,5.4130541364308442,5.4319583455678071,-4.1813345869425689,0.82002225319109856,-3.361192556226626,-3.4751935919169337,6.2332655469533051,-1.9023222645167261,-1.1458798964861781,0.070623842870816578,-2.1729515512827784,-1.3012585361842066,-2.3668752630595118,4.1861511746998872,6.1666990796681489,-0.07431981166638435,-5.0962627848032866,-2.4883317669276148,-2.0352490862254053,0.68722930351458489,5.3556334058400239,0.84017362991534172,0.15182634988985955,-2.3230533321741968,-1.8098151405695826,6.3171145002003755,-1.5227970202807337,-1.9278317411784083,-2.0975117405299097,-1.8467319925669581,-0.24890917738713325,5.2868897000905122,2.8192738572712988,-2.0351397713068873,0.27459999719820916,0.21939983764849602,4.8468886891957368,-1.251596780622378,3.2370296994801611,4.0774675885792817,-2.157822104299441,-3.4739092310313135,-1.0692414363268763,-1.9240455349329859,2.4415027181264013,4.9130069295521821,1.6697985211964697,-3.5910936315897852,-1.6339909156206995,-0.10385725101269783,6.13976636329852,-0.1988587697390467,-0.72892709089256824,1.9006220380421728,-1.7581078728083521,-4.1603685339335357,-3.7919968088511378,-2.6646362264994532,6.2563449422474946,-1.8575770576838404,5.4354602376576509,-3.8577817400339991,-0.86170599063672126,-1.6714509447459132,6.1034232656117524,-1.7020700295809656,-3.5910142382029444,-0.90599982639588417,-3.278905244672671,0.34204461971484124,-2.493720861280337,-2.9189573248270899,2.5575565377827734,2.1375414411183447,-2.3076520880106837,0.85956921974383294,5.5023647824879731,0.1226136366482824,0.90666511455737053,-4.3640995939616118,0.78360476890765129,-2.229204030836001,-3.5964950044993311,-2.7376447637919337,5.8229342977162446,-1.4376525600794703,-0.0071892460230738031,1.0902816335316747,-3.723750682676211,-1.545060189569369,1.8917509595509618,0.10975864330492913,3.767842916643247,1.0953157226201147,4.7440544644948091,6.2671872655507173,5.0375486890431489,-1.4930325468424708,-1.6865774711016566,1.3132356683369726,-2.5282889326456934,0.2322489897366613,3.053478149568662,-3.6445847471598536,-2.0364881475809962,2.1979185620900243,0.4737764875050634,0.34391608635149895,3.1931356469746679,4.6984931508656587,-2.3206523378733546,-1.3709589560870081,-3.3848780115488917,0.10801014105044304,-1.8686189373377711,-0.27822473844327034,1.7524751702900976,-2.2824387272242457,0.040917066728696216,-1.8718527277354151,3.5393640081044286,-2.5310460050944239,-0.79395885964669288,-3.6142457445506007,1.3428472558613866,2.1670099774952978,-1.0547011216524989,0.053220657503232349,-2.5049843510035426,-0.078191729390993725,0.58263471523486077,-0.33809483250416816,-3.0026050527933985,2.1802228967305273,4.2852317372914399,0.075537113344296802,-0.45325485070981086,-2.1088388880137354,5.6170193235035981,-0.0042112191561609613,3.6995402852650732,1.3101433793660253,3.7294951955433935,3.2245275060292333,-2.5156374891642481,0.19655898014269768,2.7750836888905615,3.9751702825184911,-1.3423747738245875,-0.79763170530833305,-3.783922048414126,5.7760783712025727,0.4742647687550634,-3.9147642572764307,-1.4897038062456995,0.72149756351672112,-4.6768530329111968,3.9998981038685888,2.9275032559987157,3.9596087018605322,-1.4805615266207606,-2.3055076321009547,5.709130434190854,-0.66058179190196098,-0.68876549241878093,-2.0615666826609522,-1.4961245973948389,5.8569709340687837,-5.3729494531992827,-4.7047046144846831,-4.5010617693308745,-3.0754037817362696,-2.2853716333750635,-2.3944978435877711,5.0284039060231294,-0.52450566192902626,5.862429765855893,-3.6829043348673731,5.7198440114613618,5.8193899671193208,5.4614092389699067,-1.839825483167544,-0.37305695017613472,-2.2612950523737818,-1.7410278042200953,-0.47179021140374244,-2.8548248728159815,0.93267014423571526,-0.28739908536709846,6.1978861371632661,-2.2965886314753443,6.0330149213429536,-1.8899432142619044,-1.9679584225062281,-4.8555706461314116,3.2717842141743749,6.2791606465931977,-2.1638055761698634,-1.2251872738245875,-1.6241277178172022,4.5317422429677094,-2.5921070297602564,-1.6452137549761683,-2.5512525757197291,5.8063866178151216,-2.8423815687540919,-4.3189624269846831,5.2906090299244966,-1.2093105038050562,-2.2468459328059107,3.2060834447499365,-0.22580784758366645,-5.0903199633006011,-4.9740699251536284,-1.5329989512804896,0.3640733043309301,-1.9681979139689356,6.0053149739857759,-4.7634843309763824,-2.3324273546580225,4.7507134954091157,-2.1058399399165064,-3.3286565264109522,-2.1642199476603419,6.1403819600697602,-3.1477533300761134,-2.4249170740488917,0.032660750543698658,-1.5147729237917811,-1.7047620733622462,-1.7407974918726832,5.9290868322011079,0.73337867656908928,2.081605819856748,-2.7303775270823389,-3.3545483072642237,3.7827760259266943,-2.4628283699396998,-0.18605199655331672,5.7512680570241059,-0.62760734757222236,-2.2259094437006861,0.66038360992632805,-1.7920636852625758,-1.9738279302958399,-1.9679617603663355,-0.75979690825380386,4.4477821866627778,3.7065235654469579,-0.47790557345189155,0.37111750045977532,-1.2477879842165858,5.3866788426991548,4.6404534856434907,-2.0194360931757838,0.24557277361117302,-2.1719521005991846,-2.534595580900088,6.0664698163624848,-0.97541529139317573,-2.9255004843119532,1.4162239114399999,1.2918585816975683,-1.7989293058756739,1.5153717080708593,-2.089099975431338,-5.2532542665842925,-0.6945296322349459,-0.55396698614396156,-2.0415210445765406,1.6229487935658544,-0.38922444185055793,-1.5070934613589198,2.724437622224912,3.1053611318226904,0.36135938564501702,5.0215751210805024,1.0733109990712255,-1.1420734246615321,4.5590206662770356,5.6490041295643891,0.79236331382952629,5.1439806501027192,0.90493681827746331,3.5825807134266943,-3.3516133745554835,0.96703484455309807,0.013699082529172291,0.43656936088763176,0.18593749204836785,-2.287687393033877,-1.1840383132342249,-1.854727359617129,-1.2767833789233118,0.62264111438952385,-2.3413816412333399,-1.5632042010668665,5.9288293401356782,-2.3667430599574,-2.6569406708125025,-4.9233997782114898,-2.4469978531245142,-3.4312649687174708,6.3557030240651216,6.2044831792470063,6.2774120847340669,-4.958230348432437,0.73083033958636223,-4.9192923029307281,-2.1936223228815943,-1.0237523933295161,-1.9902027567271143,1.2441510240193456,-2.3397497852686793,-2.555000158155337,-0.081854196393862377,-3.352185102308169,-1.7697127779368311,5.1079546491261567,-1.8375985344294459,-3.7284103353861719,-2.6187299211863428,-2.6839514692667872,-2.3111585100535303,-1.5935382564906031,-1.7216208895090968,3.1498731652852148,-2.1834809502009302,-0.81959226926602424,0.29429247776232659,-4.2564638574961577,-4.0790687521342193,-2.2445436437968165,0.86365702549181878,6.2456165830250825,3.1487597505208105,5.6828376332875337,-0.31161385973729194,-3.3768814524058253,-2.1371415575388819,-2.4847284277323634,-0.63256122370995582,4.585175184404477,-0.86869067152775825,5.7339288274403657,-4.7821448763255034,-1.6008018573168665,-1.3599250038508326,-0.89102895756997169,2.0458225289937109,-3.0228110273722559,3.6446587125416845,6.1587616483326997,6.3113709966298188,-0.93845525583066047,0.27336951891146599,-2.2699178179148585,-0.8309136574510485,-0.5421614368800074,1.9949585477467626,-1.3848834355715662,-1.2548774202708155,-0.303394796455279,-1.8503794391993433,-1.6082303841952235,1.0362267772313207,-0.25962552627362312,-2.2054419239405543,0.15909203687869011,-2.3545452078226954,-3.8162888010386378,-1.7407530268076807,0.15898248354159294,-2.9843977411631495,-4.7334559877756988,0.4603710452672094,6.5101992169972505,-0.99471473892964424,5.3173429051991548,0.010975567495450367,1.3160141984578222,6.0811940709706391,4.2911726514454926,5.8067003766652192,6.1516915837880219,-3.8477219065073878,-0.56223127445019783,-0.60679900100268425,0.26178195873461663,0.77471056381426751,0.02344634929858147,-2.0636211355570704,4.3087302724476899,2.5385943929310888,-3.7607172449473292,-2.8300114591959864,1.6987279931660741,6.1059791127797212,-2.367948623502627,-1.3026901801470667,-1.582632096612826,-2.562305541837588,-3.0956462343577296,-0.49307361444272102,-2.3902754505518824,0.096637038385495533,-1.002995671832934,6.155241159593686,-2.3592964132670313,-2.2031477411631495,0.19480547109805046,-1.5894029458407313,-3.7234464605692774,-0.57716794511117042,1.0069606582280248,-5.3106635530833159,-2.7188754995707423,-0.67533974921144546,-1.5247779806498438,-3.3243452032450587,3.8057982007618993,1.7180282155629247,1.8951307813283056,0.38730898300372063,0.4815432111378759,3.4106136838551611,3.9369875470753759,5.7471791783925141,-1.6154571493510157,-2.5282175262812525,5.5046383420582856,-2.2374744137171656,-0.74580705364979805,0.63541057506762444,5.0971418897267426,6.0172392408009614,-1.1334699412230402,3.5790030042286962,-0.63466766675747932,-1.9919628818873316,-1.4715509136561304,4.1195961515065278,6.0665365735646333,-0.15717074474133552,-0.83351120551861824,-0.041548641527071606,-3.4789639433268458,0.08589747348986565,2.8287989179249853,-4.2947400530222808,-1.6391935070399195,0.73227992454729973,-1.9409398754481226,-1.9238525350932032,-3.2999371012095362,-2.4444392641428858,0.584676412736997,-0.47898596724309028,-0.063820513093844067,-0.85163870652951301,1.7567495385762304,5.9222551862355317,-1.4317240436915308,-4.290679307783023,-1.6689185818079859,-1.9907366951350123,3.6644283811207861,-1.208278807008639,-3.2294615229014307,-3.53181395133771,0.16766300598345696,-3.8767207582835108,-1.6996605714205653,-3.1247032602671534,2.3767744580861181,-5.1896551569346343,-2.085426183545962,0.15554716983996331,-3.1717403849009425,2.5828756372090429,-1.5759708603266627,0.50336995521746575,-0.00096622308529914491,-3.531302066648379,2.3629836122151464,-0.51668662031926216,6.5097676793690766,0.10245349804125725,2.4005526582356542,5.1191674749013032,-2.2253373583201319,3.7342983762379736,-4.8967646082285796,-2.1765366514567286,5.1614891568776216,-3.658861013257876,1.1124904433842748,-1.3171585520152003,-2.0713031013850123,-1.6945940574053675,0.51691594520770012,-3.4552353342417628,0.68430438438616692,2.1503387967702001,-0.44561726053990425,-1.3538924773577601,-1.7000657041911036,0.19344046512804924,-0.25588000019825996,4.1527763883229341,-0.056277902925387036,-2.3305705507639796,-2.6961437185648829,-1.2722177823428065,-0.1896642764452845,-0.37577939232625068,6.5140706578847016,-2.6139056404475123,6.2066051046010102,-4.4964416941050445,1.5446392575856298,0.22592374483309685,5.8738400022145356,-2.5415188988093287,-0.46387927433289589,6.3667241613026704,-5.0694449861887847,-2.1448111256007105,0.58100822368822991,-0.52378004988469185,1.5315343419667333,0.30252352157793938,-0.27326551278866829,-3.302570434415713,-0.26172504028119148,5.6343637982960786,-3.9731949289683253,4.9236470739003266,-0.017684849107638012,-5.1671312769297515,-2.1053601225260645,5.7960950414296235,-0.75854998281039299,-0.19752535423077644,5.9886652509327973,-3.0913077314738184,5.5834752599354829,5.8752571622487153,5.6014906446095551,-1.6426285227183253,2.61355319420062,-2.5852859934214503,0.032042411958798755,0.14958980480395256,-5.4139483888987456,-2.1020459850672633,0.086386946832761158,5.8410164395924653,-1.2037187536600977,4.2020098249074067,-2.2779335697535426,1.0987122336979955,-3.459409805143252,-2.2577160318735987,5.1850587407704438,-2.6689614971522242,-3.7811191995982081,6.1284867803212251,2.7336803952809423,0.34952881733141838,-3.34799465736188,6.1840998212452973,-0.59392323544062675,-2.1494937857035548,-0.99437400897778572,-2.485010357702151,-0.55357498129643501,4.2672535459157075,-1.966421695554629,-1.3056107481364161,-2.0817610939387232,-1.8661416490916163,1.1090861837025732,2.5411118547078222,-0.28003990849293769,0.32085719505511223,-1.5454110821131617,-2.0634958465937525,4.3861509839650239,-1.7415537556055933,2.8075331727620214,-1.8260016163233668,0.1392575780507177,-2.8897417505625635,-3.4982336481455714,-1.4735290130022913,-2.5246780832652003,-4.7272222956065093,-5.0906585176829253,5.9258219281788911,3.3085028211232275,-3.1412273367289454,-1.4506988843325526,-1.7402947862986475,4.1155492345448579,-1.8608510216120631,-2.1143266876582056,-0.94771781762875618,0.50713565746508538,0.45906033912859856,-0.46734926303662361,6.0061265508290376,-3.1791225393656641,-1.5013940056208521,-0.26577314933575691,-1.7897350510004908,5.63598218361102,-2.0897912701014429,-4.5101326425913726,-1.6685838421229273,0.97515573898516594,-2.7128883322123438,-0.32605084975995124,-3.5607670267466456,1.3025166074391454,-3.6134074648264796,5.893799451982602,3.2949859181996435,-4.6001072843912993,-3.0487497766856104,-4.0350559671763335,-4.5549701174143706,2.9335071126576513,-2.3022573908213526,-1.7962529381159693,0.5133655349370092,5.6860047856923188,5.159546522295102,-4.9965170343760406,-2.1413491686228663,-0.82106331934966148,6.3522821942921723,-0.51868814429081977,-1.7872458418253809,3.3782621900197118,-1.169714810455218,-2.4311220367792994,1.5110184232350439,-1.2300030310992152,-1.2066546698454768,-1.225744934881106,-3.5523766001109034,-2.6143294294718653,-2.6177423914317042,6.0290595571156587,-0.50202726026810707,5.5554124395009126,-2.0825966318491846,0.82027926841937004,-1.0108128507975489,5.9120933095570649,-0.79877247860468925,5.0785557309743012,-0.31409719785489143,-1.3025124987009913,-4.4558144529704009,-2.3140825947169215,-4.6657434423808013,0.41521671215258538,5.1376625577565278,-3.4929128607157618,0.48376431862078606,0.29471722046099602,3.2478906194325536,-2.2987181862238795,-1.0797995050791651,4.2867161313649262,0.0086186210270970953,-1.9105398376826197,0.51899733940325676,3.5210286656972021,-4.0809699018839751,3.3192664662953466,0.70587757030688225,6.1707736531849946,-1.5136269052866846,4.7605287114735688,1.2189218083973974,0.45066287914477288,-0.091579588258638989,-1.3130245526675135,-2.0013136585596949,4.0836221257802094,1.0017936507817358,-2.5277898033503443,0.11476179758273064,-3.4343720396403223,6.1084958593007173,3.0255440751668066,-4.9682110269907866,-0.095709474885836254,-0.18845281204022468,-1.0779137929324061,-2.2594849785212427,-2.3959475477579981,3.6926156560536474,5.6331044713612641,-2.3972980697993189,-2.1494072397593409,-1.8019695003870875,-2.0892197807673365,-2.9782463034037501,-2.4243255575541407,3.3101173917409032,6.5054933110829438,-2.6928626020792872,-1.9548871239069849,-1.0323364158514887,3.8065759221669286,0.62841287056170403,-3.9875546415690333,-1.8541104515437037,0.92590418258868157,0.30194666782580315,-1.5018984397295863,0.4845412055607885,-0.17712667783536018,6.4476925412770356,-0.47259341379441322,-2.5780229290369898,-3.4406310041788966,-1.6972892006281763,-1.2190810163859278,0.82663360038958489,-2.8337613066080958,-1.8718189915064722,-2.4918985088709742,-0.4765626957062632,3.815107492601499,-3.0737915953043848,-4.5077687223795806,-0.55044420262612404,1.6344713250752538,0.59758129516802727,2.3286994973774999,-1.5176588614825159,1.3997396508809179,4.3693019429799165,-3.5230122526530177,-2.2236046512965113,1.099791912233457,-1.3247968276385218,6.2552506009694184,-4.1716831644419585,-1.3806635459307581,-3.7157302816752344,1.2596484700795263,-0.46185544332303108,1.3177145997639745,-2.3060733993891627,-0.057403357828035961,-2.1491220911387354,-1.5088147242907435,-2.2488428076151759,0.89430573383532463,-1.2219919284228236,-1.7824537475947291,4.7233945409413423,-0.8146330138090998,0.60548105636797844,4.515163091814145,-2.2426744421366602,-0.93062654336728157,-1.4334760030154139,-3.3568438013438135,-0.10162368615902961,-1.2473947127703577,-1.5495269616488367,-3.387439819181338,-2.4978031834010035,-2.4426278789881617,0.23960020939074456,2.0904172937031835,-2.0420862158183009,4.447622923051938,0.33577218452654778,6.0066849271412934,-1.2338218410853297,-0.76057930489815773,1.4095458070393652,-0.41820094188489021,-3.2321222742442042,5.8363801519032563,-3.3232058008555323,-2.5770795067194849,-0.31931096514500679,0.72523787418566643,-0.036010058725252758,-1.6460498293284327,-4.2690785845164214,5.3818947354909028,-1.8912765701655299,2.2370673696156591,-3.2408536394480616,-0.01739844878949226,-1.6100855191592127,1.1436475793477148,-2.5046910961512476,1.2412191907521337,3.1574496308919042,-1.7195602377299219,-4.7333548982981597,6.1509872953053559,-0.61843190541304649,-2.2150703390482813,-5.430299611890689,-2.640328617895022,-2.9598692377451807,-2.3358186205271632,2.9129666368123144,1.7064711133595556,-2.3687793930415064,-3.3262511213663966,4.272367624437436,-2.3304073532465845,-5.2894814928416167,-1.5694117864016444,0.69464531341753899,1.2206509391423315,-0.38724771341122688,-2.281199904287234,0.87080135742388665,-3.0151425321940333,5.7142797986622895,-1.7597033699396998,6.3953572789784516,4.580111650621518,-3.4103980978373438,6.4420615712758149,-4.1383369882944976,-0.40766781767643989,-4.5225485285166656,-4.4413059671763335,6.0136028806325044,-2.5683570822123438,-2.0698828419093043,5.9267965833302583,5.8210684339161958,-1.584379287565127,2.4513479749318212,0.31395700374804436,-2.8859759291056544,-1.6249425133112818,-2.4603950699213892,-1.8524055202845484,-5.2353986223582183,0.18474444547854363,-2.2207362373713404,5.3366757909413423,6.5767537633534516,4.927673963701352,-3.2087076624277979,-1.4646193703059107,-2.422739358747378,5.3576818982716645,-2.099086376035586,-0.80372051348723472,-3.9434927423838526,-2.9411636312846094,1.1226489822026342,-1.3077832778338343,-0.78446293076314033,-0.68009287318028511,4.4954034368153657,-1.7862660606745631,2.6894771138783544,-1.0091382583025843,1.5287803689595312,5.8734637776967134,-1.9619347771052271,5.6830383817311372,-2.5390444715861231,4.1398221532460298,-1.2197047789935023,1.6846672574635595,6.1165787259694184,-1.2854562123659998,-0.56570275327004493,-2.1670902689341456,-2.8032799681071192,-1.1525176187399775,-2.3812174518946558,0.88983025947771965,-4.9088624437693511,-1.5525943954829127,-3.266095014417544,-1.3213318904284388,6.33929028907977,6.3083335439320649,5.3751651326771821,2.3950490037556738,-2.5892675836924464,-4.4900182207468902,-3.7087305506113917,5.0579430142994966,4.3881346265431489,-3.241342874372378,-0.76926513587869705,4.7141295949574555,4.8203302899952973,6.2412511388417329,6.1266581098195161,3.4219328443165868,2.9060088674183935,-1.6100386103037745,2.0702642480488866,-0.63595286955870689,0.001632181799039234,-1.7061382254008204,2.1587850133534521,-5.0214823206309234,-1.8804079016093165,4.8964935819264497,-0.22585761746205391,-0.9315751661900431,1.6518577615376562,-3.7565096338633448,4.5343104879017915,-0.25433305105008186,-0.59171976348198951,6.2357431928273286,-3.9927330931071192,4.1006461660023774,6.3245631734486665,0.31341960827074944,-2.3546580990199,-0.027807446325197827,-1.5766496380213648,-3.1263745745066553,-2.0799854715708643,-0.87494377990998329,-4.1723013838175689,-2.6738413294199854,3.1740800420399755,-0.7417087220940739,4.9637571851368989,-2.4503285606745631,1.6926080266591161,0.85934927860461174,3.4705716649647802,-3.294992776716128,-2.8455587347391993,-3.1253803690318018,3.7592670003529638,-0.76378666808642448,-2.0003306587580592,2.2952796498890966,6.1151291410084809,-1.1817605515364558,-1.4531759341601282,-4.4622977693919097,-0.50720545848645271,4.1018168012257661,3.4780861417409032,-2.2370871027354151,1.986632732545957,-1.8131473978403956,-5.0639975984934722,-2.3007143457774073,-2.705123277509585,0.035058585798367847,0.22291055122576653,3.6925312558766454,2.8941611329670995,-1.845871420705691,0.78922310272417961,-2.3646841963175684,0.97853210369311272,-1.6979959925059229,-5.2773097475413238,1.0312146226521581,-2.0426032265070826,-1.8615666349772364,-1.660240681970492,-5.3637460192088042,4.6611811200734223,-1.0947847386244685,-1.9412618597391993,-3.1654377897623927],\"z\":[1.7209126597205178,0.304718563512899,2.9518279677191748,-0.11627197806444017,2.527021372870542,-1.1616564149102195,-0.44043216650094835,-4.4422009343346582,-1.8901479596337303,0.64212461765203632,0.90162458475027241,-0.5616598481377586,-0.31387249176111071,1.6474694853583352,-1.8559828156670555,1.3017032986441628,0.53710638935957111,-1.2055859917839988,3.2410707121649756,3.5603587275305761,2.2997942810812964,-4.4041054600914942,3.0363416319647802,-4.1149027699669825,0.53898705001268543,-1.3542396182259544,-1.0455540770730003,2.2678830271521582,-3.1062190884789453,3.3926832323828711,-1.9399180764397606,-2.1132080907067285,0.8171541338721291,0.90080531890783466,3.2868349200049414,-2.2322132939537989,-1.6255686635216697,3.6978158598700537,-3.3646304959496485,-4.3691227788170801,-0.46031162683572618,-1.7735357636651023,-0.24576518480386583,1.0056945925513283,0.77559181507024921,1.1263341551581398,0.76457359846029438,-2.0971832627495752,0.32114868070278318,-2.1789520138939844,0.59330972488317646,-4.064512526436709,2.7288589125433935,-0.74776128475274883,-3.9802940243920313,-2.265229021950625,-2.1370454186638819,1.3236580735007302,2.5187892561713232,-2.0720038766106592,2.070060694769956,-1.8430841321190818,0.54968904908094562,-1.9872184151848777,-2.2787847871026026,-0.65203252975549542,2.3033556586066259,1.9580397253790871,1.5473641997138039,-1.1801981085976585,2.8522421961585058,-1.9414627904137596,2.2424358969489111,1.4935800677100197,2.6814934855261816,-1.8734398240288719,-1.0633577460488304,1.3253179436484352,-1.3942010754784568,1.4389643317023293,0.87805118616018452,3.1031601076880468,3.1063513403693213,1.1078978424826638,0.92488339002523579,-0.33500662986841051,0.91635533626470722,-0.61538109724130474,1.9235921746054665,-0.84139434043969952,2.2650366669455542,-2.0481994504174219,-3.7735307568749414,0.60138397868070759,-0.051875984116457385,-1.3837494010170921,-0.086225038214586658,0.22023350949678572,-2.3228574151238428,1.8464862948218361,3.7029113417426123,1.2781826501647011,-0.56737945024576031,0.46906028892192991,-2.2135410660943018,-2.0628683919152246,-1.2380369061669334,-0.04046544973459093,0.837201023654081,2.9908573275366797,1.2327821498671547,1.9862050658026711,-0.17170277778711168,-2.2872708195885645,1.6243790036002175,-4.4389136189660059,1.1687112694540993,-1.7915833348473533,-0.93923786823358379,0.89649810846243061,-0.089318996115587634,2.4751481657782568,0.021782869652844983,1.0894958620825783,2.415010178641416,-2.4634974354943262,-1.4219024533471092,-2.0867083424767481,-1.6111193055352195,-0.87906924430932842,3.3997888212958349,0.84418412502203144,-1.2857990616997703,-1.5206691378792747,2.2332950478354467,1.4481854086676613,1.1002716666022316,-1.3295537585457786,2.6543135290900244,2.2881769781867041,-0.75032225792016827,-2.3060582036217676,-0.78535715286340557,2.4039139395514502,-2.3108218068322168,0.51729873772058643,-0.67585364524926983,0.053315753296948987,-1.8620951527794822,-1.9020243043145164,-1.2004583234032615,0.78582485969457783,-1.6618275994500145,0.86647834833059467,-2.3881311768731104,1.5621211176672951,1.9238834028998391,1.0202697759428994,0.47894205357227476,1.3589428907195107,-0.32135615293588488,0.68090977723989643,-0.55646727029886089,1.5054069405356423,0.55365350301656879,-1.5736995095452293,0.95347877796087421,1.1247000342169777,0.71669798548612751,-2.29292706195917,0.71361448820028461,3.739574158743955,1.3499763255873696,-0.61775795166101299,-2.1065354699334131,1.6193426495352761,-3.5662513131340967,3.0720355158606543,-1.9200106019219383,1.8633428459921852,1.5980829840460793,1.7556627636710183,1.7654970532217995,3.3954834585944189,0.94232525880727924,-1.9662084931572898,-1.849751507683657,-1.9525401944359764,1.4878282194891945,-0.63729122821893536,-0.7145071381768211,-0.39546743576135485,-1.3430507535180076,-2.0330062264641748,-4.1679814213952051,1.0494790321150795,1.4979819899359719,3.2407769804755224,-1.3561985844811424,1.0498764162817971,-1.191149269982241,-2.0094900483330713,-1.8639381283959373,-0.47995248977746813,-4.5793383473595606,1.6782898550787941,0.74070682580862202,-1.5883779877861961,-2.3771019334038721,3.1538161879340185,3.7083072310248388,-2.0808737630089746,2.0160249119559301,3.8996264582434668,0.14952222462091597,-2.0323360318383203,1.6737135296622292,2.1459217911520971,-0.31565431301202623,-0.026652877970598621,-4.1024010533532129,-2.1747932786187159,-0.94935015384759747,1.6422769671240822,1.5686887150565163,-1.7098124379357322,1.1636628156462685,-0.7162318581780418,-1.7282541150292381,2.2822488194266333,-3.2276380414208399,-0.078878974362276477,0.74750124867353596,1.5832513218680397,-4.0884254330834375,-1.0145118588646873,1.189559364871122,0.3903947194973007,-0.94834426586236797,3.1389162188330664,3.1442126875678076,0.47066290880832823,-1.2757071608742698,1.0581040626326577,1.1477326398650185,0.32490608300361784,1.9128696566382424,0.5173266773978249,3.0760864859381689,-1.1544330472191795,-1.9826200360497459,-0.64909449760522686,-0.23120782320108263,-1.76178578083124,-1.7653222436150535,-3.3801544064721094,-4.5782168263634668,1.0214734321394936,-2.2039041871270166,0.72845580633077778,0.88445487077627338,-0.29914370719995348,-1.0816707963189109,-1.9775553101738914,0.39048799331579359,3.4803926592627539,-0.32863870803918688,-4.1809685582360254,-0.092906569882296008,-0.93725935165490948,0.74785491283331074,0.18445610459242018,1.2826760655203835,-1.2093589657982811,3.7233423834601416,1.2038882618704811,-0.49340949003305284,1.7500769739905373,0.059543306187726575,-1.8433957452019676,-4.282156741066836,0.72548347170744099,0.66199704463873066,1.3617116456786171,-2.2377672547539698,-2.2304728383263575,1.6928121691504494,-0.30780450050439684,-1.2986466044625267,3.625844443396665,0.34684939514193686,-0.9748978966912254,-0.88790789787378155,-0.12677953188028185,-2.02537015621271,0.84438320453558124,-0.21080580894555895,-1.6897497529229148,2.1563965922156347,-1.2289797419747337,2.7292678004065527,-3.7606008404931055,-1.0677769536217674,3.5967497473517431,3.3604943400183691,1.1257096772948281,1.3127427345076577,-0.76174894516076885,-1.2205983752449974,1.3196410780707375,-0.30704352800454943,1.7848413830557839,-2.7273321503838526,1.1913472061911599,-1.5190250033577903,-1.6133187169274315,-1.6711378449639305,1.64319309051428,-1.9469058865746482,2.2391173487463965,-3.567005431099795,-0.79229167644586407,0.58494160528574146,1.1052656417647377,1.0154487734595314,1.4312659149924294,-1.6040673608025535,1.2016483789244667,0.15209474618826063,-1.9866021031579002,-3.9850170964440332,0.46787341143283995,0.12375443632993849,3.3176071291724218,3.3351301794806494,-0.17860732023324816,-0.40273997728433458,-2.2626276368340479,0.15176876838598402,-1.4128768796166404,-1.7225137109002098,1.9167555218497292,0.71580704505834736,0.77422132547292866,0.83087646420393146,-1.174794232293032,0.9538275843420998,-0.67436913196649395,-1.3853454941948875,0.055805141285993176,2.6971456652441992,-1.7222819680413231,-2.036694561882876,0.22020485456380995,-1.0017899626931175,-2.0363965386589991,1.9681576138297097,-0.60229984466638409,2.8106479292670263,0.7931694930354134,1.2149381881514565,-0.59038505498971783,-2.3249888772210108,-1.0659122819146141,-1.3062185401162132,0.43357135187182577,2.4989740496436132,-3.7645094746788965,-0.038051163597963733,0.098663741902448254,1.1280154829779641,3.7040762549201025,-1.1353292817315086,-2.2370138520440088,-0.73369005863275372,-2.0130548829277979,-2.1559827679833399,-0.45105413143243639,-1.5762316340645774,2.6990682726660742,1.4027789479056374,1.7726575976172463,0.37313892850000413,-0.86793092434015118,1.7184003239432351,1.8767610436240212,-1.1653086299141868,-1.5945712680062278,-0.19997534696664659,-0.27938840334024279,0.9043699746886269,-1.3924358243187889,-1.7441013211449607,-2.164802586480044,-1.8035307282647117,-1.8367646092614158,1.1526832824507729,0.50072960014734424,-2.2032118195733057,2.7361378317633642,-1.7908523434838279,0.80211066658888019,0.25911098177824171,-2.3312256688317285,0.96546807344350971,1.5409364348212258,3.214291298941709,1.1345819478789345,-0.99145928566064678,-3.8196928853234278,3.6591691618720068,-2.5635261887749659,3.3964278345862402,0.8544526642123238,-2.1815410012444483,2.2979336624899878,1.2083266025343911,2.6538922434607519,-1.666209256096743,-3.8914845341881739,-3.7873032445153223,1.6922328120032326,3.0861770754614843,0.4213397895852104,-0.360995268269442,-1.2482587451180442,1.9154033308783547,2.0755170231619848,-0.26055273954477159,0.32712042163405569,1.4042644148627297,0.71589305456075825,-1.821381842537783,1.0160376673499123,0.78435095603857197,-1.052843605919741,-2.2612905854424463,0.6890948658743874,-1.8348224515160545,2.9087946062842382,1.6430362110892311,-0.4968474263390526,2.6027874594489111,-1.3492400998314842,-1.486954843445681,-2.07944730465021,-1.1020439023217186,-0.54610196296777569,-2.2726106995781885,1.2273513322630898,-3.0372295731743799,3.5530161505499853,-2.1356568688591944,-1.7008445615014061,1.016341054991819,1.5856625681677834,-0.14174357597436754,0.88299956376943745,2.455823863104917,0.98261817748937763,0.75345029886160053,-1.5385767573555931,1.5969053154746071,-2.8063612336358057,3.5408041125098242,0.98550584371481098,-3.5016446465691553,-0.75427452270593487,-1.2737386578759178,-1.6466327065667137,-1.8502304906090721,-2.3419442528923975,-2.0458758229454981,-1.2706771249016746,1.9913510924139992,3.4627344256201757,-2.2016206139763819,-2.2152846211632715,3.0283591395178808,-0.47989234869088976,0.068220908001996594,-0.77350369636621319,0.50619247014913715,0.83226543124113239,-0.759559070511721,-2.1788525933464991,1.9045886641303078,-3.9743526334008203,2.6428641920844091,0.82426616008672871,1.0060130005637185,-0.90193072502221905,0.99577304180059589,2.2701818590918554,2.87701340969,1.1097865944663063,1.0397622233191506,-1.4801934117516502,2.5116467123785986,1.0542903190413491,-0.10410792176332323,-0.52546677534189068,-2.2278192395409571,1.8003981953421608,3.2558207159796728,-0.13142303173150865,1.5368673449316994,-1.7740826958855613,3.0596899634161963,3.1895594244757666,-0.17401996795739977,0.91778298671636738,1.6361664181509987,-0.73427704517450176,-2.2525081986626612,-2.2196486348351465,0.69169294293317951,-0.46725687925424425,1.1021707301894204,0.53705961461458362,0.62042188103590168,0.86326968129072346,-4.1374972218712793,-0.08763489667978136,-0.55257776920404278,0.70897960122022785,1.4694782143393532,-1.6909764165123924,1.7370013838568703,-1.2234360331734642,1.392500722960569,1.1404010897437111,0.70430269296560444,-0.77642956916894756,0.55308466608915485,-0.35568419639673082,-1.5766607875069603,1.8585914021292702,-3.3035679215630518,-2.3364601487359034,0.90753599460516132,-2.2550762051781641,-1.1180763596734031,0.65383696015272297,1.2952232008734719,-1.9782958382805809,-0.59248397295083843,2.2972430830756201,0.038324529484845715,0.091932917193509656,2.0057422762671484,-4.1635878438195215,-1.8778262490471824,1.3438335901061074,0.043047363118268567,-1.7005379552086815,1.8161207085410134,-0.69823590461816631,-1.9868114346703514,-0.68850151245202862,2.8571991568366064,0.96169736440572895,-2.2192685956200586,2.4049763327399267,0.58710421080980457,1.6121569519797341,-3.7493899220665918,1.4361596947470681,-2.0254648083886133,-1.0320638770302757,-2.194324767037295,-3.3233628625115381,1.1207342391768471,0.93353792484197773,-4.3238962048729883,-2.0157058591088282,1.3689778691092507,2.3818230276862158,-1.6327367181023582,-2.2361541146477686,1.2783063894072548,-0.34779039566125719,-1.6785416955193504,-1.3047206753930076,-4.0978777760704981,1.7616051083365456,1.1861673241415993,0.96773936803732075,0.19234318490419539,-0.61603239719476544,3.5063635950842871,-4.0356600636681543,-2.7837984914025293,-2.2865541333397852,-2.1630576008995996,0.47733135725650938,-0.85122517292108379,3.5315065031806006,1.2911687141219155,0.43814096058998259,2.8295335417548193,1.0183514600554482,-2.0716970318993555,0.074111575440503674,-0.1683719510277733,1.8081029301444069,2.813250506476499,-0.17830512468423693,2.2930901890555395,1.8301757221976296,-2.1124124879082666,-2.3127229565819727,2.3696720248023047,3.7532853728095068,3.6653802042761816,-2.2501683587273584,-1.7157409543236717,2.5517861491004004,1.3657154088774697,1.0044521933356301,-1.9490778798302635,-2.0694294327935205,-1.3766488188942894,1.0883080011168496,3.7152385359564795,0.24303577299509199,-2.3975520486077295,-2.0111916417321192,-2.1207371110161768,1.323900664404966,3.4216956740180029,-2.1676068658074366,0.2165401970902458,0.53535660560522236,-0.029214953823946399,-1.4250539893349632,1.3786654120245949,-2.1199062222680078,-2.290758168145083,2.2367086058417334,2.3664700632849707,1.4042710905829445,1.6668164377966896,-2.2967899197777735,-4.0652792805870996,-0.19649956171121447,-1.7053244466027244,-2.096262490197085,-0.27862081472482531,1.8389694338599221,-0.70852748100366436,0.39061276912037285,-1.4190649146279319,0.61508458311948933,2.6585242396155371,-2.3407025689324366,3.5099353438178076,3.1888248568335547,-1.7592449540337547,2.296513879851438,-1.2292689437111839,-0.55698255245294415,2.4151751642981543,0.8907671218672768,-0.10765579883661119,-1.8264146203240379,2.3196100836554541,-1.9832051152428611,-4.1977947110375391,-1.2108956927498802,-1.2360688800057396,-1.8238900059899315,-0.86720553581323467,-0.027806436463259143,-1.7001874798974022,-1.2176562899788841,2.3941752558508886,-0.45528093521203844,2.2259193306723608,-0.068795179768465442,-0.41647366230096666,1.3449152951994912,-0.54538110439386212,1.3633727675238625,0.85273441131506122,0.24904445763025435,0.6631188338557259,0.4339464550772682,-1.3287616128167137,2.2579960470953955,-1.4042799824913963,0.61381466145906605,2.3593933230200781,0.8688000386515633,1.4263145571509377,-1.6951468342980369,2.7577550059119238,0.17524067516718062,0.9498038535872475,-2.0003671998223291,0.18651787395868452,0.43843322451505812,-3.9814703816613184,0.57061597164068378,-1.5036745423516258,3.0048808699408545,-0.33383670990075914,1.7172023897925393,-1.6321361417016014,0.98652752693090595,1.9697740917960183,1.0880603438178078,-0.53754291479196392,2.773108208731748,-4.2355239743432032,-0.37801322881784288,0.72456821258459247,-2.0279355401238428,0.54893437977228321,3.1907698756018652,3.0268418436804785,3.457516396597959,1.4449412470618264,-3.340039288445376,0.84601234848890461,-1.4419619197091087,2.3569098358908667,-0.14701214973535387,1.4355934506217018,0.62639995868597187,0.99976345355901874,1.2342852001944558,1.2835021858969704,1.2228841429511086,-0.21482173149194567,3.613076413230039,-2.3255999440392481,-0.17167637292947618,-1.5193666571816429,-0.21886805240716783,0.57198853249941028,2.5018155222693457,3.2400831824103369,2.9130816107550634,-2.1386235112389551,-0.26648065988626329,-2.7126224393090235,-0.13236359302606432,-0.18778732959832994,0.67918309028539814,-0.97862473671045147,2.0716530924597754,-1.9102948064049705,-1.6672747487267479,-1.7135117406090721,-2.2741632813652979,-0.32925484125223009,-1.2433543557366356,0.36929347710032018,1.8232771998206154,-1.2759771699151023,1.1154466515341774,-0.021791195317171497,-1.1791127080162986,0.8878723030844704,3.6451568251410498,1.9975769167700783,0.7745423858920113,1.2915099507132546,-1.8756244534691795,-4.3823464268883692,-1.4591155404290184,-3.7586329335412012,-1.5040309781273826,-2.5591385716637598,-1.6513920182427391,1.5046544914999977,-2.0850282067498194,-2.1008479947289453,2.6287481432715429,1.1270150786200539,0.32470682095084341,-2.057024037285708,-1.2075527066430076,-1.065495407029055,0.13675721939001234,1.3079818731108681,-1.2754156941613182,2.884389365271665,1.3640479093352333,2.0701118355551733,-0.37930515949334948,2.5852379446784033,1.2134255414763466,2.5993244295874609,-2.2355978841027246,-1.3153759593209251,-1.8953039998253807,-0.45669290964212267,0.87915643508825458,-1.6264961117943748,-1.0798709744652732,1.6988180523673073,-0.94540134613122784,1.667353714064695,0.037134016112424451,-0.90237275306787335,1.2605692392149941,-1.1737389916619285,0.40754000674281271,1.4392054920950905,-0.45946708862390367,-3.0717862004479395,1.1325286274710671,-0.66270211879815899,2.3558253889838232,0.1166816001692787,-1.7870245331963523,3.0938043242255224,1.4199568873206154,-2.2672367448052393,3.5120024328986181,1.9821776991644875,-1.0933958644112571,-1.7200847024163231,-3.6352956647118555,1.8281238919058815,3.2434551363745703,1.7570126896658913,0.94751032646093525,0.94733711536321796,1.0536057596961037,-3.5108058804711328,1.2466590052405373,0.47824824060592802,-1.6976774090966209,1.6713567620078102,-1.3610468262871727,-0.77255121414270245,-1.1383841389855369,0.02872138674650343,2.4830815439978613,0.88447066600713886,1.9429345970908181,-1.0324172133645042,-2.3510797375878321,-1.4476848000725731,0.26201189513597639,1.1477381830969826,-1.4810302609642967,1.7048794871130959,-0.53395435754861675,1.6828380471030251,0.90038057620916523,-0.99898735229577862,1.2779807096282021,-3.4881890172204004,-1.5146830434044822,-0.72990480606164776,-0.610877429886721,-2.2288358563622461,-1.8078728074273094,2.216438139037229,-1.5956042165001854,1.2107753997603432,3.7306248789587988,1.7515104656973854,-2.2431216592034326,-3.7950709218224512,-0.27807972375955431,-1.5701052302559837,-2.0571282262047754,2.8631963377753271,-0.4825310463150963,1.6426313763419167,-2.0708632821282373,3.3254556303778662,-1.9241636151513084,1.9326098805228249,2.1696555262366308,-1.3984380120476707,-1.1418389434060081,0.19010824914369734,-0.1337219232758507,-2.1535916680535303,2.7292859202185644,-2.2689855450829493,2.4331793432990088,1.0194046741286293,-1.8206553811272606,-3.9941161030968653,-2.0084650868615137,-0.075243359251879138,0.55220734532270588,-0.75211945716943585,-1.5432904118737205,-1.80182484333124,-0.82482949440088116,0.86275687272939838,-3.5396340245446192,1.3238997703352944,0.044734383181668835,-3.2960760945519434,-2.0534053200921045,2.2898159867087378,3.2229990607062353,2.7280842905798925,3.2318439131537451,-1.2646129483422264,-1.4033933037957176,-0.47724065725412218,0.92000427301321186,3.077028000907041,1.6591003781119362,2.000695312575437,-2.0032043809136377,0.43237840588483961,2.5682856684485449,-0.60239753667917095,-2.0061273926934229,0.086906844929792004,-1.5733874196251854,-1.7488398904046043,-2.2866111153801905,-2.2330105656823145,3.6391958838263525,-2.0540738457879053,-1.4164207333764061,-0.025705700560472888,-1.9356620663842186,0.99586179311666645,1.7376130467215554,-2.3733580464562403,-2.0383117551049219,1.4584244137564675,0.66361799295339741,-2.2756264561852442,1.240804219798185,-2.1218195313652979,-0.42767701093759386,-1.2472914809426292,-1.4674115533074363,2.4409746771613134,-2.2123680466851221,-1.3827655667504295,1.845051730231382,-2.5346234196862207,-1.4120872372826561,-1.3125818127831443,-0.012733524485491199,0.95320072229299702,0.21816810424719008,1.9236166125098244,0.075430149392224866,-2.3801901692589746,-1.9588947648247703,-0.29265860263910143,1.6331224089423195,1.1292436962882058,0.88943287189397968,-2.2359147423943506,1.5138283615866677,1.9692984467307106,0.72607460077200092,0.69116958434972919,1.4489907866278664,-0.63467577640619122,1.1443618779936806,-1.4216475838860496,0.54873485322389759,-0.38111028616037218,1.5091299658576027,0.79618325288686909,0.56344146485719837,0.7448875253954903,-4.1484949940880762,-2.3450262898644434,0.51448547299299396,1.9984683638373391,3.2512380724707617,1.1803533678809182,0.071157509640790539,2.7110910063544287,0.73239692504797138,0.9550708180228249,0.3882182344729081,1.0160740857878701,-3.5063732022484766,-2.0848410481652246,3.2758783942023291,2.0168980007926001,1.0070734267989174,0.077136183337308484,3.4548844939032568,0.11523925717268141,1.8868381624976174,-1.9708857888421043,3.0285789614478125,2.9304322844306006,2.6455645209113134],\"text\":[\"Cell:CAGCCGAAGCGATATA
group.by:Ductal
color:Ductal\",\"Cell:AGTGTCATCGCCGTGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATGAAAAGTTGTAGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CACAGTACATCCGTGG
group.by:Beta
color:Beta\",\"Cell:CGGAGCTCATTGGGCC
group.by:Ductal
color:Ductal\",\"Cell:AGAGCTTGTGTGACCC
group.by:Ductal
color:Ductal\",\"Cell:GCTCTGTAGCGTGAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACCGTAACAAGGTTCT
group.by:Beta
color:Beta\",\"Cell:CCACTACAGGTGGGTT
group.by:Beta
color:Beta\",\"Cell:TGCGTGGGTCCCTTGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGAGTGTCTTCTCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCGTGGACACGAAGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GAACATCAGCAATATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCTACACAGTCGATT
group.by:Alpha
color:Alpha\",\"Cell:ACGGCCACACGTGAGA
group.by:Ductal
color:Ductal\",\"Cell:CTCGTACAGAGGTTAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTCTACAGATGCGAC
group.by:Beta
color:Beta\",\"Cell:CTCACACGTCACACGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AAAGCAACACGGTAAG
group.by:Ductal
color:Ductal\",\"Cell:CATCGGGCACGTTGGC
group.by:Epsilon
color:Epsilon\",\"Cell:ATCATCTGTGTTTGTG
group.by:Delta
color:Delta\",\"Cell:CAAGGCCCAAGAAAGG
group.by:Beta
color:Beta\",\"Cell:AGATCTGGTTCGGCAC
group.by:Epsilon
color:Epsilon\",\"Cell:CTCTGGTCAAGACACG
group.by:Beta
color:Beta\",\"Cell:TACAGTGTCCCTAACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGACAGATCAGCATGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACTCCACATATGGTC
group.by:Ductal
color:Ductal\",\"Cell:GTTCATTGTTCCAACA
group.by:Alpha
color:Alpha\",\"Cell:TAAGTGCCAATAGCAA
group.by:Beta
color:Beta\",\"Cell:TACTCGCTCTTCGGTC
group.by:Epsilon
color:Epsilon\",\"Cell:GCTGCTTTCCTCGCAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCTGGGTGTCTAGAGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCTCTCAGCGTGAGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGAGCACTCTAACTCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATCGTAAGTGCAAGC
group.by:Epsilon
color:Epsilon\",\"Cell:TGTCCCAGTCTCGTTC
group.by:Beta
color:Beta\",\"Cell:CTTGGCTCAGCCACCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGTCTGGTAAACCTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGGACTGTCTTGAGAC
group.by:Beta
color:Beta\",\"Cell:GGTGCGTTCTGGTATG
group.by:Beta
color:Beta\",\"Cell:TACCTTATCCGATATG
group.by:Beta
color:Beta\",\"Cell:ACGGGTCTCTATCGCC
group.by:Ductal
color:Ductal\",\"Cell:GTACGTACATCGATGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCGTAGATCTTTACGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAAGTAGAGAGTGAGA
group.by:Alpha
color:Alpha\",\"Cell:AGCGTATTCTGCTGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGACAAGTCATAACCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACATCAGTCCTTGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCAGCGACAGGCTGAA
group.by:Beta
color:Beta\",\"Cell:GGACAGAAGTGGAGAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GACTACAAGCGTGTCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGCAATTGTAGAGCTG
group.by:Beta
color:Beta\",\"Cell:GTTCTCGCAAGTCTAC
group.by:Alpha
color:Alpha\",\"Cell:CGAATGTTCTTCATGT
group.by:Beta
color:Beta\",\"Cell:CCGTGGACATTCCTGC
group.by:Beta
color:Beta\",\"Cell:CTAATGGAGCCGGTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGCGGTCGTCGAATCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTATTCTTCACTTACT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGTCCTAGGTGGGTT
group.by:Alpha
color:Alpha\",\"Cell:CGACTTCCACAACGTT
group.by:Beta
color:Beta\",\"Cell:AAACGGGTCCGCGCAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTAGTGACATTGAGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCCTAGAGAGTGACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCAGTTATCTTGAGAC
group.by:Ductal
color:Ductal\",\"Cell:CGAACATCAAGCGAGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGGAGATAGCGAAGGG
group.by:Beta
color:Beta\",\"Cell:CATCGGGAGGCCCTTG
group.by:Alpha
color:Alpha\",\"Cell:TGGACGCAGCTGCAAG
group.by:Alpha
color:Alpha\",\"Cell:CAGAATCCACGCATCG
group.by:Ductal
color:Ductal\",\"Cell:CTCGGAGGTTGGACCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGGACACTCTATCCTA
group.by:Beta
color:Beta\",\"Cell:CGTGTAATCATTATCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTGTAAGTTAAGATG
group.by:Alpha
color:Alpha\",\"Cell:ATTTCTGTCCCTGACT
group.by:Alpha
color:Alpha\",\"Cell:AGAGCGAGTTGGACCC
group.by:Ductal
color:Ductal\",\"Cell:CAGATCACAACCGCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGGCTAGCATTCCTCG
group.by:Beta
color:Beta\",\"Cell:CCACGGACAGATGAGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGGCGCAAGAAGATTC
group.by:Ductal
color:Ductal\",\"Cell:CATGACACAAAGTCAA
group.by:Alpha
color:Alpha\",\"Cell:AACGTTGTCAGTTAGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTGGTCTAGGTGATTA
group.by:Epsilon
color:Epsilon\",\"Cell:TCAGGATTCCAGTAGT
group.by:Epsilon
color:Epsilon\",\"Cell:CATTATCGTCATATCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCGCAACAGTGTACCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTGCATACAATAGCAA
group.by:Ductal
color:Ductal\",\"Cell:TTTACTGGTTCGTTGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTAGTCAGTCCGACGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCTACACGTTCTCATT
group.by:Delta
color:Delta\",\"Cell:AGCTCTCTCAACACGT
group.by:Ductal
color:Ductal\",\"Cell:CTAACTTGTAGGAGTC
group.by:Alpha
color:Alpha\",\"Cell:ACGAGCCGTGACTACT
group.by:Ductal
color:Ductal\",\"Cell:GTAGGCCGTTACCAGT
group.by:Beta
color:Beta\",\"Cell:TCTCATATCAGAGCTT
group.by:Beta
color:Beta\",\"Cell:GCTGGGTGTCATACTG
group.by:Beta
color:Beta\",\"Cell:GGGAATGTCGACCAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TAAGTGCTCCAAATGC
group.by:Beta
color:Beta\",\"Cell:TAAGTGCAGGGTTTCT
group.by:Ductal
color:Ductal\",\"Cell:CGGACTGAGGTAGCTG
group.by:Ductal
color:Ductal\",\"Cell:CAACCTCTCTCTGTCG
group.by:Alpha
color:Alpha\",\"Cell:CTGAAACGTTCCCTTG
group.by:Epsilon
color:Epsilon\",\"Cell:GTAGTCAGTACTCAAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGCCACCACCTATCC
group.by:Ductal
color:Ductal\",\"Cell:CAGAGAGGTACCGTTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTCTACAAGATCGATA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCACAAGCACCGAAAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCGGGACGTCATCGGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGCCAGAGGAACTGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATATGGCATGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:ATCATCTTCTGTCAAG
group.by:Ductal
color:Ductal\",\"Cell:CCGTTCACAGTAGAGC
group.by:Alpha
color:Alpha\",\"Cell:GTCAAGTGTGGTCCGT
group.by:Ductal
color:Ductal\",\"Cell:TTTGTCAGTTGTTTGG
group.by:Ductal
color:Ductal\",\"Cell:ATTATCCAGACCCACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACCACTCAATCTACG
group.by:Alpha
color:Alpha\",\"Cell:GCGCGATGTCCGAATT
group.by:Beta
color:Beta\",\"Cell:CATTATCTCTGAAAGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTAGGACAGCTAAGAT
group.by:Ductal
color:Ductal\",\"Cell:GCGCGATTCGCGTAGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTACATTCACCGTTGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCATTTGCATTGGCGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCAGCCCAGGAATGC
group.by:Ductal
color:Ductal\",\"Cell:GGGATGAGTCTGCGGT
group.by:Beta
color:Beta\",\"Cell:TGCGCAGTCTGCCAGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGCGTATTCTCGTATT
group.by:Delta
color:Delta\",\"Cell:GTCTCGTAGATCTGCT
group.by:Beta
color:Beta\",\"Cell:CAGAATCGTGTAAGTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGACTTTAGGTCATCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTGCATATCAGAGACG
group.by:Beta
color:Beta\",\"Cell:TGGCCAGCACGAAAGC
group.by:Ductal
color:Ductal\",\"Cell:TGGCGCACAATGTTGC
group.by:Ductal
color:Ductal\",\"Cell:CAGTAACGTCTGATCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGCGACAGATCACGG
group.by:Beta
color:Beta\",\"Cell:AAAGATGAGTGAACAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTTCTCTGTCAGAGGT
group.by:Epsilon
color:Epsilon\",\"Cell:ATTTCTGAGAAGATTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCTAATTCACCATAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGTGTCTTCTTGTCAT
group.by:Ductal
color:Ductal\",\"Cell:GCCTCTAAGCTAGTCT
group.by:Delta
color:Delta\",\"Cell:CCTAAAGTCATGCAAC
group.by:Ductal
color:Ductal\",\"Cell:AGGCCACAGCTGTCTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GAAATGACACATGACT
group.by:Ductal
color:Ductal\",\"Cell:ACTGAGTAGGCTAGGT
group.by:Ductal
color:Ductal\",\"Cell:GGCGTGTCAACTGCTA
group.by:Alpha
color:Alpha\",\"Cell:AACTCAGAGAGCTGCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGCTTCACAGATCGGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGCTTTCTGGTGTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTGTCTCATACTCTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTATCTGTCAGGACA
group.by:Beta
color:Beta\",\"Cell:CTGAAACTCGATAGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTTCTCGCAGCTGGCT
group.by:Ductal
color:Ductal\",\"Cell:CATATGGAGGCCCGTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGAACAGCCTCGTG
group.by:Ductal
color:Ductal\",\"Cell:CCTAGCTCAGGTGCCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCCTCCTAGACCCACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTAACTCGTCCGAACC
group.by:Ductal
color:Ductal\",\"Cell:GTGGGTCCATAAAGGT
group.by:Delta
color:Delta\",\"Cell:CTGAAACTCAAACCAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTTCTCGGTTTGTGTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACATCAGTCCGTTGTC
group.by:Alpha
color:Alpha\",\"Cell:ATCCACCTCCTTTCTC
group.by:Beta
color:Beta\",\"Cell:ACAGCCGAGCCAACAG
group.by:Alpha
color:Alpha\",\"Cell:AAGACCTAGTAGGCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AACTCTTCACTCGACG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCGTATCACGAGGTA
group.by:Alpha
color:Alpha\",\"Cell:GGACAGAAGGCCGAAT
group.by:Beta
color:Beta\",\"Cell:ACTGTCCCACGTAAGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCCACACCAGGCGATA
group.by:Alpha
color:Alpha\",\"Cell:CGTCACTCAGTATAAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACACCTGTCGCTTTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCTCGAGTCGCTTCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGGCTGGCAGTGAGTG
group.by:Epsilon
color:Epsilon\",\"Cell:GATGAAACAGGCTGAA
group.by:Alpha
color:Alpha\",\"Cell:TTCTTAGTCGCAGGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCCCGATGTAAGTGTA
group.by:Ductal
color:Ductal\",\"Cell:CTGAAACAGTATCGAA
group.by:Alpha
color:Alpha\",\"Cell:ACTATCTTCTGCTGTC
group.by:Beta
color:Beta\",\"Cell:GATCGCGAGCTGAACG
group.by:Ductal
color:Ductal\",\"Cell:CATGCCTAGTGGTAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GACCAATGTAAGAGAG
group.by:Alpha
color:Alpha\",\"Cell:CATCAGAGTTCGCTAA
group.by:Alpha
color:Alpha\",\"Cell:CCATTCGGTGCTAGCC
group.by:Alpha
color:Alpha\",\"Cell:CCACTACTCTTTAGTC
group.by:Alpha
color:Alpha\",\"Cell:AAACGGGGTGAAATCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACCGTAATCTATCCCG
group.by:Ductal
color:Ductal\",\"Cell:ACTTACTCAATACGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GAACGGATCACAACGT
group.by:Ductal
color:Ductal\",\"Cell:CGGTTAAGTCTAGCCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGATGTTGTTACGCGC
group.by:Alpha
color:Alpha\",\"Cell:CAAGAAACACTAGTAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGTTGGTGTCGCATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTGCTCGTCCTAGCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTCCATGTCTAACGT
group.by:Beta
color:Beta\",\"Cell:CAGCTAACAACACGCC
group.by:Ductal
color:Ductal\",\"Cell:CAGTAACCATACGCTA
group.by:Beta
color:Beta\",\"Cell:CTCGTACCAGCCAGAA
group.by:Alpha
color:Alpha\",\"Cell:ATTATCCGTATAAACG
group.by:Alpha
color:Alpha\",\"Cell:GTACTTTTCAGTTCGA
group.by:Epsilon
color:Epsilon\",\"Cell:AGTAGTCCACATGACT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGTGAGGTCTGTTGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCTCATAAGCAGATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATCACGATCAGGATCT
group.by:Beta
color:Beta\",\"Cell:AGCAGCCCAAGTCATC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TATTACCAGCTAGTCT
group.by:Beta
color:Beta\",\"Cell:GTGGGTCGTACTTCTT
group.by:Beta
color:Beta\",\"Cell:GTCCTCAAGTTCGATC
group.by:Alpha
color:Alpha\",\"Cell:GCCAAATGTAAACACA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTTACTGTTTGGGCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTTACTCACCGTTGG
group.by:Beta
color:Beta\",\"Cell:CAGAGAGAGGACCACA
group.by:Epsilon
color:Epsilon\",\"Cell:AAGACCTGTGGCTCCA
group.by:Epsilon
color:Epsilon\",\"Cell:AACTTTCCACAGTCGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGATCATCTCGATGA
group.by:Ductal
color:Ductal\",\"Cell:TGTTCCGGTCAGCTAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCGCCAAAGAGGTTAT
group.by:Ductal
color:Ductal\",\"Cell:CATGCCTTCGCACTCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTAACTGTCAGTGCAT
group.by:Ductal
color:Ductal\",\"Cell:CGGAGCTGTTACGGAG
group.by:Alpha
color:Alpha\",\"Cell:AGCAGCCGTCGCATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGCCAAGTCTAAGCCA
group.by:Beta
color:Beta\",\"Cell:ACTATCTTCATGTAGC
group.by:Beta
color:Beta\",\"Cell:ATGCGATGTTACTGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATGAAAAGACAGACC
group.by:Ductal
color:Ductal\",\"Cell:GTCAAGTAGTATCGAA
group.by:Alpha
color:Alpha\",\"Cell:TCAGGTACAGTCACTA
group.by:Alpha
color:Alpha\",\"Cell:TATCTCACATTGTGCA
group.by:Beta
color:Beta\",\"Cell:CGTAGCGAGACTGTAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGATGTGTCGCGGTT
group.by:Beta
color:Beta\",\"Cell:CTCTGGTTCCCAGGTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGATGTTAGTAAGTAC
group.by:Alpha
color:Alpha\",\"Cell:CAGAATCCACAAGCCC
group.by:Beta
color:Beta\",\"Cell:GTAACTGGTCACTGGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACTTTCGTGGTCCGT
group.by:Ductal
color:Ductal\",\"Cell:ACGCAGCCAATCCGAT
group.by:Alpha
color:Alpha\",\"Cell:TTTCCTCAGTGTCCCG
group.by:Beta
color:Beta\",\"Cell:TATTACCGTTGAGTTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTTTCATCAGAGCTT
group.by:Alpha
color:Alpha\",\"Cell:TAAGTGCTCGCCTGAG
group.by:Beta
color:Beta\",\"Cell:TCGTACCCATATACGC
group.by:Ductal
color:Ductal\",\"Cell:TGGTTCCGTTGATTCG
group.by:Ductal
color:Ductal\",\"Cell:AGAGCTTCATTCGACA
group.by:Epsilon
color:Epsilon\",\"Cell:GGTGTTACATGTTGAC
group.by:Beta
color:Beta\",\"Cell:CCTCTGACATCGGTTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCTACGCACTAAGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCGGAGGTGAAGGCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGTCAACAGACAAAT
group.by:Ductal
color:Ductal\",\"Cell:TCGAGGCAGTTAACGA
group.by:Alpha
color:Alpha\",\"Cell:CAAGTTGTCTAACTGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGAGTAGGGTATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTTTGCGGTACTTGAC
group.by:Ductal
color:Ductal\",\"Cell:AGAGCTTTCTTGAGGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCACATAAGCAATATG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGGAGATAGTGACATA
group.by:Beta
color:Beta\",\"Cell:TGTGGTACAGTCGATT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TAAGAGACAGTAGAGC
group.by:Beta
color:Beta\",\"Cell:CACATTTTCGAGGTAG
group.by:Beta
color:Beta\",\"Cell:AGACGTTCAATGGTCT
group.by:Beta
color:Beta\",\"Cell:GGAACTTGTCGAACAG
group.by:Ductal
color:Ductal\",\"Cell:TGAGCATGTTAAAGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTGTAGGTCCAAATGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GAGGTGATCTAGCACA
group.by:Ductal
color:Ductal\",\"Cell:CGTAGCGTCACTATTC
group.by:Ductal
color:Ductal\",\"Cell:AAACGGGCACTGTGTA
group.by:Ductal
color:Ductal\",\"Cell:TGCGCAGTCTCTTATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AACACGTTCGGAATCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTGATGGTCGACTGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTTCTGTCCGCGGTA
group.by:Ductal
color:Ductal\",\"Cell:CAGTAACAGCCACCTG
group.by:Beta
color:Beta\",\"Cell:ACTGATGAGTGCAAGC
group.by:Ductal
color:Ductal\",\"Cell:CTGCTGTGTTGTGGCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GAGTCCGCAATTGCTG
group.by:Ductal
color:Ductal\",\"Cell:TTTCCTCTCTGAAAGA
group.by:Ductal
color:Ductal\",\"Cell:CCTCAGTAGCGTAATA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTCATTTGTCTCAACA
group.by:Ductal
color:Ductal\",\"Cell:GACTAACCACTCGACG
group.by:Ductal
color:Ductal\",\"Cell:GGTGAAGAGCAGGTCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GAATAAGTCTGATACG
group.by:Ductal
color:Ductal\",\"Cell:GTGCGGTCACCGAATT
group.by:Alpha
color:Alpha\",\"Cell:CAGGTGCAGACTTGAA
group.by:Ductal
color:Ductal\",\"Cell:GAGGTGAAGCTACCTA
group.by:Ductal
color:Ductal\",\"Cell:CATTCGCGTGCAGACA
group.by:Beta
color:Beta\",\"Cell:ATGTGTGAGTTTGCGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCTATTGCAGTAAGCG
group.by:Beta
color:Beta\",\"Cell:TTGGCAATCGGATGGA
group.by:Alpha
color:Alpha\",\"Cell:CGTCAGGAGTCATCCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CACCACTTCAGCTTAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCCCTAGTATCGCAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGGGCTAGACTTGAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGGCGCAGTGTATGGG
group.by:Ductal
color:Ductal\",\"Cell:CCGTACTGTCAGAAGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATCGATAGAAAGTGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCGGGTTCCAGGGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTCTTCGTCCTACAGA
group.by:Ductal
color:Ductal\",\"Cell:AGGGATGTCGCATGGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCCCTACAATCACAC
group.by:Ductal
color:Ductal\",\"Cell:CCCATACTCGTGGACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACTAACCATGAGCGA
group.by:Alpha
color:Alpha\",\"Cell:TCACAAGAGCCACTAT
group.by:Ductal
color:Ductal\",\"Cell:GGCAATTTCACATGCA
group.by:Delta
color:Delta\",\"Cell:TGGTTCCAGGAATGGA
group.by:Ductal
color:Ductal\",\"Cell:TTCGGTCAGGGCATGT
group.by:Delta
color:Delta\",\"Cell:GCATGTAAGAATCTCC
group.by:Beta
color:Beta\",\"Cell:GTTACAGTCTAGAGTC
group.by:Beta
color:Beta\",\"Cell:GTTCGGGAGTCACGCC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GATCGCGTCTGGAGCC
group.by:Ductal
color:Ductal\",\"Cell:TGTGGTAAGAGGTTAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCGTACTGTTACTGAC
group.by:Ductal
color:Ductal\",\"Cell:TTATGCTTCGTTTAGG
group.by:Beta
color:Beta\",\"Cell:GCATGCGCAAATTGCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAACGACACCATCCT
group.by:Ductal
color:Ductal\",\"Cell:CCTCTGATCATGTCTT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTGAGCTCTTCTGGC
group.by:Alpha
color:Alpha\",\"Cell:CTCAGAATCTTGAGAC
group.by:Beta
color:Beta\",\"Cell:CGTCCATCATGGTAGG
group.by:Ductal
color:Ductal\",\"Cell:TTAGTTCCATGAGCGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCTTGATCAACACGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGCAGCAGAGGTACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATCATGGGTTCTCATT
group.by:Alpha
color:Alpha\",\"Cell:CTAGCCTGTGCGATAG
group.by:Ductal
color:Ductal\",\"Cell:GTGTGCGGTCTCCACT
group.by:Alpha
color:Alpha\",\"Cell:GCATGATCATGCATGT
group.by:Beta
color:Beta\",\"Cell:TACGGTATCCCATTTA
group.by:Beta
color:Beta\",\"Cell:CCTTCGAAGCTAGGCA
group.by:Beta
color:Beta\",\"Cell:AACTGGTGTCGAGTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACCAATGTACGAAAT
group.by:Ductal
color:Ductal\",\"Cell:GTATTCTTCAGGTAAA
group.by:Ductal
color:Ductal\",\"Cell:TACCTATGTAACGTTC
group.by:Ductal
color:Ductal\",\"Cell:TCACAAGCAACGATGG
group.by:Alpha
color:Alpha\",\"Cell:CCCAGTTTCAGCACAT
group.by:Beta
color:Beta\",\"Cell:TGCCAAACATGACATC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTAAGACGTACTCTCC
group.by:Beta
color:Beta\",\"Cell:CGATGGCTCAGTGTTG
group.by:Alpha
color:Alpha\",\"Cell:CCAGCGACAGCGATCC
group.by:Ductal
color:Ductal\",\"Cell:TGAGAGGAGCCAGGAT
group.by:Epsilon
color:Epsilon\",\"Cell:AGAGCGACACAACTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTTTGCGGTCGAATCT
group.by:Beta
color:Beta\",\"Cell:TTTGGTTTCCTTTCGG
group.by:Beta
color:Beta\",\"Cell:GCCTCTAAGTCCGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGATGATCTGTCCGT
group.by:Beta
color:Beta\",\"Cell:CGCTGGACATCCTAGA
group.by:Ductal
color:Ductal\",\"Cell:GCACATATCACGGTTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CATCCACCAGATGGGT
group.by:Alpha
color:Alpha\",\"Cell:TGCCCTATCATAAAGG
group.by:Alpha
color:Alpha\",\"Cell:ACTGTCCAGGTTCCTA
group.by:Ductal
color:Ductal\",\"Cell:GCTGCTTGTCACTTCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACAGAGCAGTCAGAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATCATCTTCAGTCCCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AATCGGTGTCACACGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TACGGATAGTTTAGGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTGTGCGCAGCGATCC
group.by:Beta
color:Beta\",\"Cell:CCACGGAGTCTTGATG
group.by:Ductal
color:Ductal\",\"Cell:GGCTCGACAGCTATTG
group.by:Beta
color:Beta\",\"Cell:AGATTGCCACCAGGCT
group.by:Ductal
color:Ductal\",\"Cell:AGTGTCACACCAGGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACCAGGGTACCTACA
group.by:Ductal
color:Ductal\",\"Cell:GGCCGATTCAGAGACG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCACCTATCTAAGCCA
group.by:Alpha
color:Alpha\",\"Cell:GACTGCGGTCGCCATG
group.by:Beta
color:Beta\",\"Cell:GAATGAACAGCCTTGG
group.by:Ductal
color:Ductal\",\"Cell:CGCTGGAAGGGCATGT
group.by:Ductal
color:Ductal\",\"Cell:CTAATGGCATGGTTGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGAGGATCAATCTCT
group.by:Beta
color:Beta\",\"Cell:AGTCTTTTCGTACGGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCCCAGAGGATTCGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCAATTCATCTCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTGCGGTAGTGAATTG
group.by:Beta
color:Beta\",\"Cell:TACCTATGTCCAACTA
group.by:Delta
color:Delta\",\"Cell:TACTTGTAGACAAAGG
group.by:Beta
color:Beta\",\"Cell:GTCCTCACACCACGTG
group.by:Beta
color:Beta\",\"Cell:TAAACCGCATTCCTCG
group.by:Ductal
color:Ductal\",\"Cell:AACACGTGTCGACTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCAGCTCAGGCTATCT
group.by:Epsilon
color:Epsilon\",\"Cell:CACAGTAGTTCCTCCA
group.by:Ductal
color:Ductal\",\"Cell:TCGCGAGCACACATGT
group.by:Ductal
color:Ductal\",\"Cell:ACGGCCACACGCTTTC
group.by:Ductal
color:Ductal\",\"Cell:AGATTGCCATTCCTGC
group.by:Beta
color:Beta\",\"Cell:CTCAGAATCAGGTTCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGAGGGACAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:TACGGTATCTTTCCTC
group.by:Beta
color:Beta\",\"Cell:GATCGCGAGCGTTGCC
group.by:Delta
color:Delta\",\"Cell:CAGCGACCACAGGAGT
group.by:Ductal
color:Ductal\",\"Cell:TCTTCGGTCTGCTTGC
group.by:Alpha
color:Alpha\",\"Cell:GTCACGGCATACTACG
group.by:Beta
color:Beta\",\"Cell:AAGGCAGTCCGAGCCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGACAGATCCTGCAGG
group.by:Ductal
color:Ductal\",\"Cell:GGCAATTGTCCATCCT
group.by:Alpha
color:Alpha\",\"Cell:AACTTTCCACTGCCAG
group.by:Ductal
color:Ductal\",\"Cell:ACCAGTAGTCATGCCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATCACGAGTGCACCAC
group.by:Beta
color:Beta\",\"Cell:AACACGTGTGACTCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTGAAGTTCTGCGGCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGCGACTCACCAGGTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGGACCTAGCTGCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AATCGGTCAAACAACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGGAGCTGTACATCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATGGCGAGAGTCTGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTGTAATCGTTGACA
group.by:Alpha
color:Alpha\",\"Cell:CGATCGGAGCTGCAAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCACCTAGTACGCGA
group.by:Ductal
color:Ductal\",\"Cell:AGTGTCACATAGTAAG
group.by:Delta
color:Delta\",\"Cell:GAACGGACAAGGTGTG
group.by:Ductal
color:Ductal\",\"Cell:TTGTAGGGTTACGGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGTGAAGGTGCAAC
group.by:Beta
color:Beta\",\"Cell:CTACACCCAGGGCATA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AAGCCGCGTTATCCGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAGCCGCTCTTGCATT
group.by:Alpha
color:Alpha\",\"Cell:AACTGGTTCGTCCAGG
group.by:Epsilon
color:Epsilon\",\"Cell:AAGTCTGGTCTCCATC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGAGTGTGTAAGTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGCTATCAGGTGATAT
group.by:Beta
color:Beta\",\"Cell:AACTCTTAGCTAACAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTGTGCGGTAGTACCT
group.by:Beta
color:Beta\",\"Cell:GGGTCTGCAGCAGTTT
group.by:Epsilon
color:Epsilon\",\"Cell:CGTAGGCCAACACCCG
group.by:Alpha
color:Alpha\",\"Cell:CGAGCACTCTACCTGC
group.by:Ductal
color:Ductal\",\"Cell:CATCGAAAGATGTTAG
group.by:Ductal
color:Ductal\",\"Cell:GCAATCACAGCTGCTG
group.by:Alpha
color:Alpha\",\"Cell:AACACGTAGTAATCCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATCTAGCATCACCCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCTCGACAGCTTCGG
group.by:Beta
color:Beta\",\"Cell:TGTGGTAGTTAGAACA
group.by:Beta
color:Beta\",\"Cell:GAGCAGAAGCCAGTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCGAGGGTAAGTAGT
group.by:Epsilon
color:Epsilon\",\"Cell:GGACAGAGTCAGCTAT
group.by:Alpha
color:Alpha\",\"Cell:ACTTTCAAGGATATAC
group.by:Ductal
color:Ductal\",\"Cell:GATCAGTGTATAATGG
group.by:Ductal
color:Ductal\",\"Cell:CTTCTCTCATGCGCAC
group.by:Alpha
color:Alpha\",\"Cell:AGCGTATCAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:GTACTCCGTAGCGATG
group.by:Beta
color:Beta\",\"Cell:CTGTGCTCAGCTCCGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCTTCGATCAAGAAGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTCTTCGAGCGTGAGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGCTGGACACGGTAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAACCAAAGCGTTCCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATCAGAAGTGGTAAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGAATGTAGTTCCACA
group.by:Ductal
color:Ductal\",\"Cell:GCTGCGACAATCGGTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTATGCTTCCAGTATG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTCTTAGTCGGCGCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCTTGATCTGACCTC
group.by:Ductal
color:Ductal\",\"Cell:CCGTACTGTTCCACTC
group.by:Ductal
color:Ductal\",\"Cell:TAAACCGAGGATGGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTTACCGCAAAGTCAA
group.by:Ductal
color:Ductal\",\"Cell:CGGTTAATCGTCTGAA
group.by:Ductal
color:Ductal\",\"Cell:CTCGTCATCGGTCTAA
group.by:Ductal
color:Ductal\",\"Cell:GTTAAGCTCCGCATAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTCAGGCAATCTGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGGACGCAGCGTCTAT
group.by:Beta
color:Beta\",\"Cell:TGGACGCGTATTCGTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCACGGAAGATCCTGT
group.by:Alpha
color:Alpha\",\"Cell:CTGAAGTTCTTTAGGG
group.by:Beta
color:Beta\",\"Cell:CAGTAACCATGCCTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGTAGTCAGCGTTCCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGAGCCCACCTTGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCGTGGAGGTTCCTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGTGTTTGTATATCCG
group.by:Alpha
color:Alpha\",\"Cell:ATCATCTAGTGATCGG
group.by:Ductal
color:Ductal\",\"Cell:GACGCGTAGACGCACA
group.by:Alpha
color:Alpha\",\"Cell:CCTCAGTGTGATAAGT
group.by:Delta
color:Delta\",\"Cell:AGATTGCCACAAGCCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACGTGCTCCGGCACA
group.by:Alpha
color:Alpha\",\"Cell:TGCGTGGTCTTTACGT
group.by:Beta
color:Beta\",\"Cell:CATCAGATCATCGCTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTTGGCTCATCCCACT
group.by:Beta
color:Beta\",\"Cell:AGCATACGTCGCGAAA
group.by:Epsilon
color:Epsilon\",\"Cell:CTTAACTGTCGGGTCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTTTCTATCAACGGCC
group.by:Beta
color:Beta\",\"Cell:GAGGTGAGTGACAAAT
group.by:Ductal
color:Ductal\",\"Cell:TCTTTCCGTTATGTGC
group.by:Ductal
color:Ductal\",\"Cell:CCCAGTTAGGTGCTAG
group.by:Ductal
color:Ductal\",\"Cell:GAATGAACAATCGAAA
group.by:Ductal
color:Ductal\",\"Cell:CCTACACAGATCCGAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GATGCTACAAGCGCTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTTACAGTCTTGAGAC
group.by:Beta
color:Beta\",\"Cell:AAGACCTAGACCTTTG
group.by:Alpha
color:Alpha\",\"Cell:GACTACACATATGAGA
group.by:Ductal
color:Ductal\",\"Cell:TGTGGTAAGTGGTCCC
group.by:Beta
color:Beta\",\"Cell:CGTTAGATCAGTCAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTGCTTCTCCAAACTG
group.by:Ductal
color:Ductal\",\"Cell:GATGAGGAGAAACCTA
group.by:Beta
color:Beta\",\"Cell:GAAATGATCTTCAACT
group.by:Beta
color:Beta\",\"Cell:GCTCCTAGTCGGGTCT
group.by:Ductal
color:Ductal\",\"Cell:ATCCACCTCATGCAAC
group.by:Alpha
color:Alpha\",\"Cell:CGACCTTCACACAGAG
group.by:Beta
color:Beta\",\"Cell:GCGCAGTGTACGCACC
group.by:Beta
color:Beta\",\"Cell:GCACTCTTCCGGCACA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTACTCCTCTCTTATG
group.by:Alpha
color:Alpha\",\"Cell:CACATAGTCATTGCGA
group.by:Beta
color:Beta\",\"Cell:CTGAAACGTATGGTTC
group.by:Delta
color:Delta\",\"Cell:CGTGAGCAGTCTCAAC
group.by:Ductal
color:Ductal\",\"Cell:CCTTTCTTCTTCGAGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTGAAACGTAGCGCAA
group.by:Beta
color:Beta\",\"Cell:TTGGAACGTCCGTTAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATTATCAGCTCCCAG
group.by:Delta
color:Delta\",\"Cell:CGGAGTCCATAACCTG
group.by:Alpha
color:Alpha\",\"Cell:GTGCAGCTCGTTTATC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGCCAGGTTCTGAAC
group.by:Ductal
color:Ductal\",\"Cell:CAACCTCAGCGTGAAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AACTGGTGTACCGTTA
group.by:Delta
color:Delta\",\"Cell:CGATTGAAGTTAGCGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGCGTGTCACCAGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGACGTCCAGTATCTG
group.by:Ductal
color:Ductal\",\"Cell:TTCGGTCAGGTCGGAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTAGGACAGGTCATCT
group.by:Alpha
color:Alpha\",\"Cell:CAAGGCCTCGTACCGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TAAGCGTCAATGCCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCAAACTTCGGAATCT
group.by:Alpha
color:Alpha\",\"Cell:TGACTAGCACGGTGTC
group.by:Ductal
color:Ductal\",\"Cell:GGGACCTGTTGGACCC
group.by:Epsilon
color:Epsilon\",\"Cell:CTCGAGGTCAACTCTT
group.by:Ductal
color:Ductal\",\"Cell:GAATGAATCATCGGAT
group.by:Beta
color:Beta\",\"Cell:TGGTTAGCAGTCGTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCTAATAGTTATCGC
group.by:Alpha
color:Alpha\",\"Cell:AACTCTTAGCTGCGAA
group.by:Ductal
color:Ductal\",\"Cell:GGGCACTTCACGAAGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTGTCTGTAGTGAAT
group.by:Ductal
color:Ductal\",\"Cell:GGGTTGCTCCCAGGTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATCCGAACACGGTAGA
group.by:Ductal
color:Ductal\",\"Cell:TTCTCAATCACTCCTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGATGTCCCTAACC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGTCTTTGTCTAAACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCGCGAGTCGACGGAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAATGCCAGACTAAGT
group.by:Beta
color:Beta\",\"Cell:TACGGGCAGATTACCC
group.by:Ductal
color:Ductal\",\"Cell:AACTCTTCATTTGCCC
group.by:Beta
color:Beta\",\"Cell:CAGCTGGTCGCCGTGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACATAGAGGGAAACA
group.by:Alpha
color:Alpha\",\"Cell:ACAGCCGCATCGTCGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCGCAGTGTCCTAGCG
group.by:Ductal
color:Ductal\",\"Cell:AAGGCAGCAGTACACT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGGTTCCTCAACCATG
group.by:Alpha
color:Alpha\",\"Cell:GTGTTAGAGTTTCCTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTTCTCTAGTACTTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACATTTGTATAGTAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTGCATAAGAATGTTG
group.by:Ductal
color:Ductal\",\"Cell:GGACATTAGAAACCAT
group.by:Ductal
color:Ductal\",\"Cell:TCTCTAAGTGGCAAAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGATACTCGCGCCAA
group.by:Alpha
color:Alpha\",\"Cell:GAATAAGCACGAAATA
group.by:Beta
color:Beta\",\"Cell:CATGACACATCCGCGA
group.by:Ductal
color:Ductal\",\"Cell:ACGGGTCAGGGTGTTG
group.by:Ductal
color:Ductal\",\"Cell:GATCAGTTCGGCGCAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ACTGTCCGTGCGATAG
group.by:Ductal
color:Ductal\",\"Cell:CGTTGGGGTTTAAGCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACTCAGTCTGGTTCC
group.by:Ductal
color:Ductal\",\"Cell:TAAGCGTAGATCGATA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTTCTGTCACAATGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGACCTGTCAGCTAT
group.by:Alpha
color:Alpha\",\"Cell:ATGCGATAGAAACGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TATGCCCTCTTCCTTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCACCTATCGGAAACG
group.by:Alpha
color:Alpha\",\"Cell:CGATGGCCAACTGGCC
group.by:Beta
color:Beta\",\"Cell:CAGCCGAGTAGCCTAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGAAAGTGGTGTAG
group.by:Alpha
color:Alpha\",\"Cell:TGCGGGTTCTCAAACG
group.by:Ductal
color:Ductal\",\"Cell:TACGGATTCCAAGTAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTTGCGCAGCAACGGT
group.by:Alpha
color:Alpha\",\"Cell:CCTACACCATTATCTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTGAAACTCTGTTTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCATGTCTCCGCATAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGCCGAAGTAGGTGC
group.by:Ductal
color:Ductal\",\"Cell:TGACGGCGTCAGGACA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGATGCACATGACT
group.by:Beta
color:Beta\",\"Cell:ATCATCTGTAGGACAC
group.by:Delta
color:Delta\",\"Cell:ATCTGCCGTCATATGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TACACGAAGATCCCAT
group.by:Alpha
color:Alpha\",\"Cell:CATCCACGTTACGACT
group.by:Beta
color:Beta\",\"Cell:AGATCTGCACCAGGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCAGCCGTCGAACAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTGCAGCAATCCAAC
group.by:Ductal
color:Ductal\",\"Cell:GGGCACTCAATGAAAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTGCTTCTCACGACTA
group.by:Beta
color:Beta\",\"Cell:GATCGTACAGGCGATA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGCGAAGAACAACT
group.by:Alpha
color:Alpha\",\"Cell:CTACACCCATCAGTCA
group.by:Beta
color:Beta\",\"Cell:AACACGTGTCGGCTCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGCTTCATCAGTTCGA
group.by:Ductal
color:Ductal\",\"Cell:ATAGACCAGTGATCGG
group.by:Alpha
color:Alpha\",\"Cell:GACACGCAGTATGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGGGTCCATGATCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTCTACTCAGTCCCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTATGCTCACTACAGT
group.by:Beta
color:Beta\",\"Cell:GATCAGTTCCCGGATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATCTAGGTGCCTTGG
group.by:Ductal
color:Ductal\",\"Cell:AAAGTAGGTCAGATAA
group.by:Beta
color:Beta\",\"Cell:CTCGTACGTTGGTTTG
group.by:Alpha
color:Alpha\",\"Cell:TTGGCAATCGAACGGA
group.by:Ductal
color:Ductal\",\"Cell:CATCGAAGTTACGCGC
group.by:Ductal
color:Ductal\",\"Cell:ACGCAGCGTCAACTGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTCAAGTCAAAGTGCG
group.by:Ductal
color:Ductal\",\"Cell:GAAGCAGGTCTAGAGG
group.by:Epsilon
color:Epsilon\",\"Cell:CCCAGTTGTGCGCTTG
group.by:Beta
color:Beta\",\"Cell:ATTCTACGTTTAGGAA
group.by:Beta
color:Beta\",\"Cell:GGGAATGCACATTTCT
group.by:Ductal
color:Ductal\",\"Cell:CCTTCGATCCTGCTTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAGCTAAAGAGCCCAA
group.by:Ductal
color:Ductal\",\"Cell:GTGCAGCGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:AACGTTGCATGGGACA
group.by:Ductal
color:Ductal\",\"Cell:TGTGTTTTCATTCACT
group.by:Alpha
color:Alpha\",\"Cell:GATGCTATCCCTCTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCGCGAGTCAACGCTA
group.by:Ductal
color:Ductal\",\"Cell:TTAACTCCACGCCAGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTGCGGTTCTGATTCT
group.by:Beta
color:Beta\",\"Cell:GCTGGGTCACGAGGTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCTATTGGTCTAGCCG
group.by:Beta
color:Beta\",\"Cell:TCACGAACAGGCGATA
group.by:Alpha
color:Alpha\",\"Cell:CGAACATTCACAAACC
group.by:Ductal
color:Ductal\",\"Cell:TCTATTGTCACATAGC
group.by:Ductal
color:Ductal\",\"Cell:ACTTTCAAGACACTAA
group.by:Alpha
color:Alpha\",\"Cell:GCGAGAAGTGGGTATG
group.by:Alpha
color:Alpha\",\"Cell:TTCTCAAAGTACGCGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGAGGTCTGTTGAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACATACGAGCTATGCT
group.by:Alpha
color:Alpha\",\"Cell:ACGATACAGTCATCCA
group.by:Epsilon
color:Epsilon\",\"Cell:ACGCAGCGTTCATGGT
group.by:Epsilon
color:Epsilon\",\"Cell:TTAACTCCACGAGAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGGCTAGAGGCACATG
group.by:Beta
color:Beta\",\"Cell:TGAGCATTCGGGAGTA
group.by:Ductal
color:Ductal\",\"Cell:CTCGAAATCGCAAACT
group.by:Alpha
color:Alpha\",\"Cell:TTAGGCAGTTAAGAAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTGTAGGCATACTCTT
group.by:Ductal
color:Ductal\",\"Cell:GTAACGTGTCACTGGC
group.by:Ductal
color:Ductal\",\"Cell:AATCGGTCATATGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGTGCGTGTCCGAGTC
group.by:Ductal
color:Ductal\",\"Cell:AACACGTTCCGCGCAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCTTCCCCAAAGTGCG
group.by:Ductal
color:Ductal\",\"Cell:GTAACTGAGCCGGTAA
group.by:Beta
color:Beta\",\"Cell:AGCATACCAATGCCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATCAAGGTGGTCTCG
group.by:Beta
color:Beta\",\"Cell:AGTCTTTGTCTCGTTC
group.by:Alpha
color:Alpha\",\"Cell:CTGATAGAGCTCAACT
group.by:Ductal
color:Ductal\",\"Cell:TCTTTCCTCGTCTGCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCTTCGATCTCCAACC
group.by:Beta
color:Beta\",\"Cell:GAGGTGAGTCCGAGTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTGTAACATGGTCTA
group.by:Beta
color:Beta\",\"Cell:GTTCATTAGGGTCTCC
group.by:Ductal
color:Ductal\",\"Cell:GCGACCATCACCAGGC
group.by:Alpha
color:Alpha\",\"Cell:GTACTTTCATGGTCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAGCAAAGCGATGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCACAAGTCTGGTTCC
group.by:Alpha
color:Alpha\",\"Cell:TAGACCATCTTATCTG
group.by:Alpha
color:Alpha\",\"Cell:AGACGTTAGCCGATTT
group.by:Alpha
color:Alpha\",\"Cell:GAACCTACAGCGATCC
group.by:Alpha
color:Alpha\",\"Cell:CCAATCCAGAGTAAGG
group.by:Ductal
color:Ductal\",\"Cell:AAACGGGGTACAGTTC
group.by:Beta
color:Beta\",\"Cell:CAGGTGCGTACAAGTA
group.by:Beta
color:Beta\",\"Cell:GCTCCTATCTCACATT
group.by:Ductal
color:Ductal\",\"Cell:TATCAGGCACCAGTTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCTACCCATAAGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATTCAGAGTACGTTC
group.by:Alpha
color:Alpha\",\"Cell:CGGACTGCATCCCATC
group.by:Beta
color:Beta\",\"Cell:GCGCCAACACCTCGGA
group.by:Beta
color:Beta\",\"Cell:AGGTCATTCTGCGTAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTACCCAGTCAAACTC
group.by:Ductal
color:Ductal\",\"Cell:TGGCCAGAGCTACCTA
group.by:Ductal
color:Ductal\",\"Cell:TGTCCCACACGGTAGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATGTGTGAGGAATTAC
group.by:Epsilon
color:Epsilon\",\"Cell:TACAGTGAGCGTTTAC
group.by:Epsilon
color:Epsilon\",\"Cell:CGATTGAAGTCTTGCA
group.by:Ductal
color:Ductal\",\"Cell:TTCGGTCGTCACAAGG
group.by:Ductal
color:Ductal\",\"Cell:GTCTCGTCACGTGAGA
group.by:Ductal
color:Ductal\",\"Cell:CTTCTCTCAGCATACT
group.by:Beta
color:Beta\",\"Cell:GCTTGAACATTTGCTT
group.by:Alpha
color:Alpha\",\"Cell:AGAGCTTGTTAAAGAC
group.by:Ductal
color:Ductal\",\"Cell:GCTCTGTTCGCTTAGA
group.by:Ductal
color:Ductal\",\"Cell:GATCAGTAGGTTCCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTACTTTAGATATGCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATGTGTGTCAAAGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAGATGGTAGATTAG
group.by:Beta
color:Beta\",\"Cell:TGTCCCAAGTTTAGGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTGATCCTCAGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:CTAAGACTCACTCCTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACAGTATCTTAGAGC
group.by:Ductal
color:Ductal\",\"Cell:CACACCTCATTGTGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTAGGCAGTAGCGTAG
group.by:Ductal
color:Ductal\",\"Cell:ACTGAACAGTACATGA
group.by:Ductal
color:Ductal\",\"Cell:TATTACCAGATGGGTC
group.by:Alpha
color:Alpha\",\"Cell:GGAAAGCGTACGCACC
group.by:Ductal
color:Ductal\",\"Cell:GGGCATCCATTTCAGG
group.by:Alpha
color:Alpha\",\"Cell:CCCTCCTGTCTAACGT
group.by:Ductal
color:Ductal\",\"Cell:TTAGGCAGTGTGAATA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCGGTAACAGGGTACA
group.by:Alpha
color:Alpha\",\"Cell:AGGGAGTCACCGAATT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTGGGTCGTAGGAGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GAACGGAAGACGCTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGCTTGTCTTCAAG
group.by:Ductal
color:Ductal\",\"Cell:ATAAGAGTCCACGTTC
group.by:Ductal
color:Ductal\",\"Cell:GATCGTAAGTAGGTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCGTGGAGGTAAACT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CACCACTGTCGGCTCA
group.by:Ductal
color:Ductal\",\"Cell:ACGAGCCCACTCTGTC
group.by:Ductal
color:Ductal\",\"Cell:GCATGTATCACGATGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTAGGACAGATGGGTC
group.by:Alpha
color:Alpha\",\"Cell:CGCGTTTGTATTACCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGCTCAGGTGTTAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGCAGCATTCTCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACAGTATCAGAGGTG
group.by:Ductal
color:Ductal\",\"Cell:TTCGAAGTCAACGCTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGGACGCAGATTACCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTGAACGGTGATGCCC
group.by:Ductal
color:Ductal\",\"Cell:ATCATGGTCCAGAGGA
group.by:Ductal
color:Ductal\",\"Cell:AGCTTGACAGTAAGAT
group.by:Ductal
color:Ductal\",\"Cell:CATCGAAGTAGCGTCC
group.by:Beta
color:Beta\",\"Cell:TGGACGCTCTTGTTTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGAGTGGGTCACCTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTCAGGCAAACGCGA
group.by:Alpha
color:Alpha\",\"Cell:CGTCACTGTCAGGACA
group.by:Ductal
color:Ductal\",\"Cell:GCGACCACACGTTGGC
group.by:Alpha
color:Alpha\",\"Cell:CCATGTCGTTTGCATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCCAAAAGCGCTTAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACTCAGAGGTAGCCA
group.by:Alpha
color:Alpha\",\"Cell:ACAGCCGAGAGAACAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGGAGCTGTTCTGAAC
group.by:Ductal
color:Ductal\",\"Cell:CAACTAGAGCTTCGCG
group.by:Ductal
color:Ductal\",\"Cell:CGGACTGCAGCCAATT
group.by:Beta
color:Beta\",\"Cell:GACCAATAGCCGGTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGACGTCGTCAGAAGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGTCCGAGTTACCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGAAAGCGTCTTGATG
group.by:Ductal
color:Ductal\",\"Cell:CCGGGATGTACCGCTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CATCCACAGTCACGCC
group.by:Ductal
color:Ductal\",\"Cell:CGCTATCCAGGCAGTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAGGTACACTGTCGG
group.by:Ductal
color:Ductal\",\"Cell:GGCGTGTTCTCGTATT
group.by:Beta
color:Beta\",\"Cell:CGGACGTAGACAGACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGTTGGTTCACATAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTGGGTCGTCCAGTAT
group.by:Alpha
color:Alpha\",\"Cell:TATGCCCAGGGTATCG
group.by:Beta
color:Beta\",\"Cell:GGGCATCCATGACATC
group.by:Ductal
color:Ductal\",\"Cell:AGAGTGGCACCTCGGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACCCACTTCTGAGGGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TATTACCTCGTTGCCT
group.by:Alpha
color:Alpha\",\"Cell:ACGATGTTCGCAGGCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGACAACTCGCACTCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACGCGTCATTTCAGG
group.by:Ductal
color:Ductal\",\"Cell:CATATGGTCAACACAC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGTGGGAGTGGTCCGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ATTGGTGTCCAGTATG
group.by:Ductal
color:Ductal\",\"Cell:GATGCTAAGCGATAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGCACTTCTAACTGG
group.by:Ductal
color:Ductal\",\"Cell:TTCTCAACAGTTTACG
group.by:Ductal
color:Ductal\",\"Cell:TCACAAGAGCATGGCA
group.by:Alpha
color:Alpha\",\"Cell:GGAATAACACGACGAA
group.by:Ductal
color:Ductal\",\"Cell:GGGAGATGTTAAAGAC
group.by:Epsilon
color:Epsilon\",\"Cell:AACTTTCGTGACCAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGAGAAGCACTTACGA
group.by:Beta
color:Beta\",\"Cell:AACTCCCAGTACGACG
group.by:Beta
color:Beta\",\"Cell:CGTTAGAAGTATCTCG
group.by:Ductal
color:Ductal\",\"Cell:CCTATTACAAACGTGG
group.by:Ductal
color:Ductal\",\"Cell:GCTGCTTAGATCTGCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCATTCGCAAGCCATT
group.by:Beta
color:Beta\",\"Cell:GTATCTTGTACTCAAC
group.by:Alpha
color:Alpha\",\"Cell:TGCTACCCAGGGCATA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGAACTTAGGTTACCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGATTGCAGCTAGTCT
group.by:Ductal
color:Ductal\",\"Cell:TTAGGACGTTCAGTAC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGGCGCATCACATAGC
group.by:Beta
color:Beta\",\"Cell:CTTTGCGAGGAATGGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ATTATCCCAACTGCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGGCCACCAACTGCGC
group.by:Alpha
color:Alpha\",\"Cell:AAACGGGCAAAGAATC
group.by:Beta
color:Beta\",\"Cell:AGTCTTTAGTCTCGGC
group.by:Alpha
color:Alpha\",\"Cell:TCTGGAAGTCATCGGC
group.by:Beta
color:Beta\",\"Cell:AAATGCCCACCAACCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATTCGCTCGCTTGTC
group.by:Alpha
color:Alpha\",\"Cell:GGTGTTACACCTCGGA
group.by:Epsilon
color:Epsilon\",\"Cell:CTCGAGGCAAGTCTGT
group.by:Alpha
color:Alpha\",\"Cell:CGGACTGTCGGACAAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACCAGTAGTTCGTTGA
group.by:Beta
color:Beta\",\"Cell:CGTCACTCATAGTAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TTTGGTTCAAATTGCC
group.by:Beta
color:Beta\",\"Cell:ATTGGTGGTACTTGAC
group.by:Ductal
color:Ductal\",\"Cell:GCCTCTAAGAGTTGGC
group.by:Beta
color:Beta\",\"Cell:CGGCTAGGTAACGACG
group.by:Beta
color:Beta\",\"Cell:AAAGATGAGTCATGCT
group.by:Beta
color:Beta\",\"Cell:GTACTCCCACGTCTCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TTGAACGAGGAATCGC
group.by:Alpha
color:Alpha\",\"Cell:TGAGCCGTCGATAGAA
group.by:Beta
color:Beta\",\"Cell:CTCTAATTCAGCGACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TATGCCCAGAACAATC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACCATGGTTGAACTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGCATAGTAATAGCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGAGTTCCTCAATT
group.by:Beta
color:Beta\",\"Cell:CTCAGAATCTGGCGAC
group.by:Ductal
color:Ductal\",\"Cell:ATCACGATCACGGTTA
group.by:Beta
color:Beta\",\"Cell:GAGCAGAGTTTGCATG
group.by:Beta
color:Beta\",\"Cell:TGCACCTAGATAGTCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGCCGAAGTGACTCT
group.by:Ductal
color:Ductal\",\"Cell:GAATGAATCTGGTATG
group.by:Ductal
color:Ductal\",\"Cell:AGCTCCTAGTACACCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CATGCCTAGCGATGAC
group.by:Ductal
color:Ductal\",\"Cell:TCCACACTCACGATGT
group.by:Beta
color:Beta\",\"Cell:TCAGATGCACGACGAA
group.by:Delta
color:Delta\",\"Cell:CAGCTGGGTCTAACGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCAGAATCAACACTG
group.by:Ductal
color:Ductal\",\"Cell:CTTAGGACATCTATGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGAGCGAAGTAGATGT
group.by:Ductal
color:Ductal\",\"Cell:ATCTACTGTGAACCTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGATGTAGTGGTACAG
group.by:Beta
color:Beta\",\"Cell:CTAGCCTGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:TCTGAGATCTGAGTGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AACTGGTTCGTGACAT
group.by:Ductal
color:Ductal\",\"Cell:AGATTGCTCCATGAGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAGCTAAGTACCGAGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTGAGTGTTTCGCTC
group.by:Ductal
color:Ductal\",\"Cell:AGAGCGATCTCTTGAT
group.by:Ductal
color:Ductal\",\"Cell:GAAGCAGTCAAGGCTT
group.by:Ductal
color:Ductal\",\"Cell:GTCGTAAAGGTGATTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACACTCAGGCGCTCT
group.by:Ductal
color:Ductal\",\"Cell:TGGGAAGGTCATGCAT
group.by:Beta
color:Beta\",\"Cell:CGCGGTACATTAGGCT
group.by:Alpha
color:Alpha\",\"Cell:GAATGAAAGAATGTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATGCCTGTTCGTCTC
group.by:Beta
color:Beta\",\"Cell:CTGGTCTTCGTTACAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCTCTAAAGCTGGAAC
group.by:Beta
color:Beta\",\"Cell:CGGTTAAAGTAGCGGT
group.by:Delta
color:Delta\",\"Cell:GAACGGAAGGAGCGAG
group.by:Beta
color:Beta\",\"Cell:CCTTACGCAAGGTGTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGGCCACCACGAAGCA
group.by:Epsilon
color:Epsilon\",\"Cell:CAACCTCGTCTAAACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCGGTCGTACCGAGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGTCATCTTCTGGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGCGTGGCAGTATAAG
group.by:Alpha
color:Alpha\",\"Cell:GGCCGATGTCAAACTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCTACAGTGTTGAGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AAAGTAGAGCGCCTTG
group.by:Beta
color:Beta\",\"Cell:GATCGATCAGTCGATT
group.by:Alpha
color:Alpha\",\"Cell:TTGGCAACATCATCCC
group.by:Epsilon
color:Epsilon\",\"Cell:TTTATGCTCCATTCTA
group.by:Ductal
color:Ductal\",\"Cell:AACTTTCAGGCATTGG
group.by:Beta
color:Beta\",\"Cell:GCCTCTAGTGACTACT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGGGTCAGATGGCGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TACGGTAGTGTGCCTG
group.by:Beta
color:Beta\",\"Cell:ACTGCTCAGATATGCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGCGTGTTCGTGGGAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAGCCGCAGGAGTTGC
group.by:Beta
color:Beta\",\"Cell:CTGAAACAGGAGTAGA
group.by:Alpha
color:Alpha\",\"Cell:CATGGCGAGCCCTAAT
group.by:Beta
color:Beta\",\"Cell:ACATGGTCAAGGACTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGCGTGTGTCCGACGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GACGTGCTCCTCTAGC
group.by:Ductal
color:Ductal\",\"Cell:TTAACTCCAAAGAATC
group.by:Ductal
color:Ductal\",\"Cell:GCTCTGTAGCCACCTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATGTGTGCATGGGACA
group.by:Alpha
color:Alpha\",\"Cell:CGTGAGCTCACAGGCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTGAACGTCATCGATG
group.by:Beta
color:Beta\",\"Cell:AAGACCTAGGTGTGGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAGGTACACGGCCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTGTAATCCATGCTC
group.by:Ductal
color:Ductal\",\"Cell:ACTGATGCATCAGTAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGATGAAGGGCATGT
group.by:Alpha
color:Alpha\",\"Cell:CTCGTACGTTCCGTCT
group.by:Ductal
color:Ductal\",\"Cell:ACGAGGACATGGTTGT
group.by:Alpha
color:Alpha\",\"Cell:ATCTGCCGTCAGAAGC
group.by:Alpha
color:Alpha\",\"Cell:CGTTCTGAGAGCAATT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACACAACACACTGCG
group.by:Ductal
color:Ductal\",\"Cell:TAGGCATTCGTTGCCT
group.by:Beta
color:Beta\",\"Cell:TCTCTAATCAAAGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACACCCTGTCAGATAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGATCTGTCGATCCCT
group.by:Beta
color:Beta\",\"Cell:TCTGAGATCTTGCAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGACTAGCAAAGGTGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TAGAGCTTCTCGCTTG
group.by:Alpha
color:Alpha\",\"Cell:CTACGTCAGTCTCGGC
group.by:Beta
color:Beta\",\"Cell:CATCCACTCTTCTGGC
group.by:Ductal
color:Ductal\",\"Cell:TCTCATACAGATCTGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CACACCTCACTGCCAG
group.by:Alpha
color:Alpha\",\"Cell:CTCGTACCAATGGATA
group.by:Ductal
color:Ductal\",\"Cell:ACACCAAAGTAGGCCA
group.by:Beta
color:Beta\",\"Cell:TACACGAGTGCAACTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTGCGAAGTATTGGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGACGTTTCGAGCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGAGAGGTGTGAATA
group.by:Epsilon
color:Epsilon\",\"Cell:GCACTCTGTCTGCAAT
group.by:Beta
color:Beta\",\"Cell:TGTGGTACAAGACGTG
group.by:Ductal
color:Ductal\",\"Cell:AGGCCGTCACGACGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TATGCCCTCTTACCTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AATCGGTCATGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:AGTCTTTCACGGACAA
group.by:Alpha
color:Alpha\",\"Cell:GTCGGGTGTGCAACTT
group.by:Alpha
color:Alpha\",\"Cell:TCTGAGATCGTAGGTT
group.by:Ductal
color:Ductal\",\"Cell:CGTCTACGTTTCCACC
group.by:Beta
color:Beta\",\"Cell:CCTAGCTCAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:AGCTCTCAGACATAAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCGAGGAGTGGAGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTGATAGTCGGCTACG
group.by:Ductal
color:Ductal\",\"Cell:TTGTAGGGTTGTTTGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGAGCACGTCCATCCT
group.by:Ductal
color:Ductal\",\"Cell:CATGACAGTCATGCAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCGGAGAGAATGTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GACCAATAGAATGTGT
group.by:Beta
color:Beta\",\"Cell:CAGCGACCATATGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCTGCTGTCCGTCAG
group.by:Ductal
color:Ductal\",\"Cell:TCAGATGCACTCGACG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TATCAGGGTCGAATCT
group.by:Ductal
color:Ductal\",\"Cell:GGGAATGGTCGGCTCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TAGTTGGAGTCAAGCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TACCTATTCGTTACGA
group.by:Beta
color:Beta\",\"Cell:CGTCACTCAAAGGTGC
group.by:Ductal
color:Ductal\",\"Cell:TGAGGGAAGCCGGTAA
group.by:Beta
color:Beta\",\"Cell:CGTGTCTTCCTTTCGG
group.by:Ductal
color:Ductal\",\"Cell:TGATTTCAGTGGAGTC
group.by:Beta
color:Beta\",\"Cell:CTAACTTAGATCACGG
group.by:Beta
color:Beta\",\"Cell:CATCAGAGTCCGAATT
group.by:Ductal
color:Ductal\",\"Cell:GAAATGATCGTCCGTT
group.by:Alpha
color:Alpha\",\"Cell:TGCGGGTTCCACTCCA
group.by:Epsilon
color:Epsilon\",\"Cell:GTTCGGGAGGCAATTA
group.by:Alpha
color:Alpha\",\"Cell:GCGCCAATCGGACAAG
group.by:Ductal
color:Ductal\",\"Cell:AGTGGGATCAACTCTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGACTTCGTTGATTCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATCAGTGTAACGACG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGAGCCGTCTCTGAGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTTGCGCTCTTCCTTC
group.by:Epsilon
color:Epsilon\",\"Cell:ACTGATGGTTCCTCCA
group.by:Alpha
color:Alpha\",\"Cell:AAGGAGCAGTACATGA
group.by:Alpha
color:Alpha\",\"Cell:CAGCTAAAGCGCTTAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TACTTACGTGTGGCTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATGCGATTCGCGTAGC
group.by:Alpha
color:Alpha\",\"Cell:ATTGGACAGTCAAGGC
group.by:Ductal
color:Ductal\",\"Cell:ACGCCAGTCCGCTGTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCGGGTAGACGCACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATGAGGGGTTCTGGTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGACCTTAGCTGCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTAACGTGTGCCTGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTCTGTAGCTGAACG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTATTCTAGGTGCTTT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCTGGAATCGGTGTCG
group.by:Ductal
color:Ductal\",\"Cell:GACGTTAAGACGCAAC
group.by:Ductal
color:Ductal\",\"Cell:AGGCCGTAGAGGACGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ATGAGGGCAAGGTTTC
group.by:Beta
color:Beta\",\"Cell:GTGCGGTCAAAGCAAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATCGGGTCATTTGGG
group.by:Alpha
color:Alpha\",\"Cell:ACATACGGTAAACACA
group.by:Beta
color:Beta\",\"Cell:CTGCTGTGTTATCACG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TAGAGCTAGTGCCATT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCACGGAGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:CCATTCGCATGAAGTA
group.by:Ductal
color:Ductal\",\"Cell:CATTCGCTCTGCTGCT
group.by:Alpha
color:Alpha\",\"Cell:ACGATGTTCTGCTGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCGCAGTCACCATCCT
group.by:Ductal
color:Ductal\",\"Cell:TAGTTGGGTACCGTAT
group.by:Ductal
color:Ductal\",\"Cell:GCGCAACCAACACCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCAGCGAGTACCGTAT
group.by:Alpha
color:Alpha\",\"Cell:AGCGTATCATCTCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AATCGGTTCCAAACTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGCAGCCATTCTCAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GAATGAATCCTGTAGA
group.by:Beta
color:Beta\",\"Cell:GGAAAGCTCTCGGACG
group.by:Ductal
color:Ductal\",\"Cell:ACTGATGGTCCGACGT
group.by:Beta
color:Beta\",\"Cell:GTAACGTCAGCCTATA
group.by:Beta
color:Beta\",\"Cell:GGGAGATAGCGTTCCG
group.by:Beta
color:Beta\",\"Cell:TACGGATTCTAACTCT
group.by:Beta
color:Beta\",\"Cell:GAAATGACATCTACGA
group.by:Alpha
color:Alpha\",\"Cell:GTGTGCGTCTCTGAGA
group.by:Ductal
color:Ductal\",\"Cell:TCTCATAGTTACCAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGTCAACACGGTGTC
group.by:Ductal
color:Ductal\",\"Cell:ACTGATGTCTAGAGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGTATTCCAATGACCT
group.by:Ductal
color:Ductal\",\"Cell:AGGGAGTAGCTAGCCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCACTACAGAGCTGGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGCAATTTCCGAATGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATCGTAGTCCTAGCG
group.by:Ductal
color:Ductal\",\"Cell:TGAGCATCAAGCCGCT
group.by:Alpha
color:Alpha\",\"Cell:AACTGGTGTACAGTGG
group.by:Ductal
color:Ductal\",\"Cell:TGTGTTTAGCAGGCTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCACTACGTTAAGAAC
group.by:Alpha
color:Alpha\",\"Cell:GGAAAGCAGGCATGGT
group.by:Beta
color:Beta\",\"Cell:ACAGCTATCGAGCCCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCGAAAGTAAAGTCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TAAACCGAGTCGTACT
group.by:Ductal
color:Ductal\",\"Cell:CTCGGAGTCATCGCTC
group.by:Beta
color:Beta\",\"Cell:CACCACTCACGAAATA
group.by:Alpha
color:Alpha\",\"Cell:CGTAGGCTCGCGCCAA
group.by:Ductal
color:Ductal\",\"Cell:TCGCGTTTCTCTGCTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGACAAGTCCGCGGTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGTTCTGAGCCCAGCT
group.by:Beta
color:Beta\",\"Cell:TCACGAATCCTATGTT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ACGCAGCGTGGCTCCA
group.by:Beta
color:Beta\",\"Cell:ACAGCTATCAAGGCTT
group.by:Alpha
color:Alpha\",\"Cell:ATAACGCAGCGTGAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATTCTACTCAGGTAAA
group.by:Ductal
color:Ductal\",\"Cell:CTGATCCCAAGCGTAG
group.by:Ductal
color:Ductal\",\"Cell:TCTTCGGTCTGGCGTG
group.by:Delta
color:Delta\",\"Cell:TGCCCTAAGTCCGGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGGAATGAGGAGCGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACAGGCTCAAGATCC
group.by:Beta
color:Beta\",\"Cell:ACGAGCCAGTTCGCAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGGGTTCGCCATAA
group.by:Beta
color:Beta\",\"Cell:CCACTACAGAGTACCG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGCCTAAAGCCCAACC
group.by:Ductal
color:Ductal\",\"Cell:AAGGCAGGTCTAGCCG
group.by:Alpha
color:Alpha\",\"Cell:AGTGGGACAGTATCTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAACCAATCGGGAGTA
group.by:Ductal
color:Ductal\",\"Cell:TGTCCCATCTTGACGA
group.by:Ductal
color:Ductal\",\"Cell:CGTCCATCAGTCGTGC
group.by:Beta
color:Beta\",\"Cell:GTTTCTAGTCCTCTTG
group.by:Alpha
color:Alpha\",\"Cell:GCACATACATTACGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATGGGAGTCGGTTCGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ATAAGAGTCCGAACGC
group.by:Ductal
color:Ductal\",\"Cell:ACGCCGAAGCTTCGCG
group.by:Alpha
color:Alpha\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"color\":[\"Ductal\",\"Pre-endocrine\",\"Ngn3 low EP\",\"Beta\",\"Ductal\",\"Ductal\",\"Ngn3 high EP\",\"Beta\",\"Beta\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Alpha\",\"Ductal\",\"Ngn3 low EP\",\"Beta\",\"Ngn3 high EP\",\"Ductal\",\"Epsilon\",\"Delta\",\"Beta\",\"Epsilon\",\"Beta\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Alpha\",\"Beta\",\"Epsilon\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Pre-endocrine\",\"Epsilon\",\"Beta\",\"Ngn3 high EP\",\"Ngn3 low EP\",\"Beta\",\"Beta\",\"Beta\",\"Ductal\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Alpha\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Beta\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Beta\",\"Alpha\",\"Beta\",\"Beta\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Alpha\",\"Beta\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Ductal\",\"Ngn3 low EP\",\"Beta\",\"Alpha\",\"Alpha\",\"Ductal\",\"Ngn3 high EP\",\"Beta\",\"Ngn3 high EP\",\"Alpha\",\"Alpha\",\"Ductal\",\"Ngn3 high EP\",\"Beta\",\"Ngn3 low EP\",\"Ductal\",\"Alpha\",\"Pre-endocrine\",\"Epsilon\",\"Epsilon\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ductal\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Delta\",\"Ductal\",\"Alpha\",\"Ductal\",\"Beta\",\"Beta\",\"Beta\",\"Ngn3 high EP\",\"Beta\",\"Ductal\",\"Ductal\",\"Alpha\",\"Epsilon\",\"Pre-endocrine\",\"Ductal\",\"Pre-endocrine\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Alpha\",\"Ductal\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Beta\",\"Pre-endocrine\",\"Ductal\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ductal\",\"Beta\",\"Ngn3 low EP\",\"Delta\",\"Beta\",\"Ngn3 low EP\",\"Ngn3 low EP\",\"Beta\",\"Ductal\",\"Ductal\",\"Pre-endocrine\",\"Beta\",\"Ngn3 low EP\",\"Epsilon\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ductal\",\"Delta\",\"Ductal\",\"Ngn3 low EP\",\"Ductal\",\"Ductal\",\"Alpha\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Beta\",\"Ngn3 high EP\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Delta\",\"Pre-endocrine\",\"Pre-endocrine\",\"Alpha\",\"Beta\",\"Alpha\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Alpha\",\"Beta\",\"Pre-endocrine\",\"Alpha\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Epsilon\",\"Alpha\",\"Ngn3 high EP\",\"Ductal\",\"Alpha\",\"Beta\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Alpha\",\"Alpha\",\"Alpha\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Beta\",\"Ductal\",\"Beta\",\"Alpha\",\"Alpha\",\"Epsilon\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Beta\",\"Ngn3 high EP\",\"Beta\",\"Beta\",\"Alpha\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Beta\",\"Epsilon\",\"Epsilon\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 low EP\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Alpha\",\"Ngn3 high EP\",\"Beta\",\"Beta\",\"Ngn3 high EP\",\"Ductal\",\"Alpha\",\"Alpha\",\"Beta\",\"Pre-endocrine\",\"Beta\",\"Ngn3 high EP\",\"Alpha\",\"Beta\",\"Pre-endocrine\",\"Ductal\",\"Alpha\",\"Beta\",\"Ngn3 high EP\",\"Alpha\",\"Beta\",\"Ductal\",\"Ductal\",\"Epsilon\",\"Beta\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ductal\",\"Alpha\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 high EP\",\"Ngn3 low EP\",\"Beta\",\"Ngn3 low EP\",\"Beta\",\"Beta\",\"Beta\",\"Ductal\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Ductal\",\"Ductal\",\"Ductal\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ductal\",\"Beta\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Alpha\",\"Ductal\",\"Ductal\",\"Beta\",\"Pre-endocrine\",\"Beta\",\"Alpha\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ductal\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Pre-endocrine\",\"Alpha\",\"Ductal\",\"Delta\",\"Ductal\",\"Delta\",\"Beta\",\"Beta\",\"Ngn3 low EP\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Beta\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 low EP\",\"Alpha\",\"Beta\",\"Ductal\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Alpha\",\"Ductal\",\"Alpha\",\"Beta\",\"Beta\",\"Beta\",\"Pre-endocrine\",\"Ductal\",\"Ductal\",\"Ductal\",\"Alpha\",\"Beta\",\"Ngn3 high EP\",\"Beta\",\"Alpha\",\"Ductal\",\"Epsilon\",\"Ngn3 high EP\",\"Beta\",\"Beta\",\"Ngn3 high EP\",\"Beta\",\"Ductal\",\"Ngn3 low EP\",\"Alpha\",\"Alpha\",\"Ductal\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ngn3 low EP\",\"Beta\",\"Ductal\",\"Beta\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Beta\",\"Ductal\",\"Ductal\",\"Pre-endocrine\",\"Beta\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Beta\",\"Delta\",\"Beta\",\"Beta\",\"Ductal\",\"Pre-endocrine\",\"Epsilon\",\"Ductal\",\"Ductal\",\"Ductal\",\"Beta\",\"Ngn3 low EP\",\"Ductal\",\"Beta\",\"Delta\",\"Ductal\",\"Alpha\",\"Beta\",\"Ngn3 low EP\",\"Ductal\",\"Alpha\",\"Ductal\",\"Ngn3 high EP\",\"Beta\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Alpha\",\"Pre-endocrine\",\"Ductal\",\"Delta\",\"Ductal\",\"Pre-endocrine\",\"Beta\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Alpha\",\"Epsilon\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Beta\",\"Pre-endocrine\",\"Beta\",\"Epsilon\",\"Alpha\",\"Ductal\",\"Ductal\",\"Alpha\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Beta\",\"Beta\",\"Pre-endocrine\",\"Epsilon\",\"Alpha\",\"Ductal\",\"Ductal\",\"Alpha\",\"Ductal\",\"Beta\",\"Pre-endocrine\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ductal\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Ductal\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Beta\",\"Ngn3 high EP\",\"Alpha\",\"Beta\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Alpha\",\"Ductal\",\"Alpha\",\"Delta\",\"Pre-endocrine\",\"Alpha\",\"Beta\",\"Pre-endocrine\",\"Beta\",\"Epsilon\",\"Ngn3 low EP\",\"Beta\",\"Ductal\",\"Ductal\",\"Ductal\",\"Ductal\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Beta\",\"Alpha\",\"Ductal\",\"Beta\",\"Ngn3 high EP\",\"Ductal\",\"Beta\",\"Beta\",\"Ductal\",\"Alpha\",\"Beta\",\"Beta\",\"Ngn3 low EP\",\"Alpha\",\"Beta\",\"Delta\",\"Ductal\",\"Pre-endocrine\",\"Beta\",\"Pre-endocrine\",\"Delta\",\"Alpha\",\"Pre-endocrine\",\"Ductal\",\"Ngn3 high EP\",\"Delta\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Alpha\",\"Ductal\",\"Epsilon\",\"Ductal\",\"Beta\",\"Pre-endocrine\",\"Alpha\",\"Ductal\",\"Ngn3 low EP\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Pre-endocrine\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Pre-endocrine\",\"Beta\",\"Ductal\",\"Beta\",\"Pre-endocrine\",\"Alpha\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Beta\",\"Ductal\",\"Ductal\",\"Ngn3 low EP\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Alpha\",\"Pre-endocrine\",\"Ngn3 low EP\",\"Alpha\",\"Beta\",\"Ngn3 high EP\",\"Alpha\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ductal\",\"Pre-endocrine\",\"Beta\",\"Delta\",\"Pre-endocrine\",\"Alpha\",\"Beta\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 high EP\",\"Beta\",\"Pre-endocrine\",\"Alpha\",\"Beta\",\"Ngn3 high EP\",\"Ductal\",\"Alpha\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Beta\",\"Ngn3 high EP\",\"Ductal\",\"Beta\",\"Alpha\",\"Ductal\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Epsilon\",\"Beta\",\"Beta\",\"Ductal\",\"Ngn3 low EP\",\"Ductal\",\"Ductal\",\"Ductal\",\"Alpha\",\"Pre-endocrine\",\"Ductal\",\"Pre-endocrine\",\"Beta\",\"Ngn3 low EP\",\"Beta\",\"Alpha\",\"Ductal\",\"Ductal\",\"Alpha\",\"Alpha\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Alpha\",\"Epsilon\",\"Epsilon\",\"Ngn3 high EP\",\"Beta\",\"Ductal\",\"Alpha\",\"Pre-endocrine\",\"Ductal\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 low EP\",\"Ductal\",\"Beta\",\"Ngn3 high EP\",\"Beta\",\"Alpha\",\"Ductal\",\"Ngn3 low EP\",\"Beta\",\"Ngn3 low EP\",\"Beta\",\"Ductal\",\"Alpha\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Alpha\",\"Alpha\",\"Alpha\",\"Alpha\",\"Ductal\",\"Beta\",\"Beta\",\"Ductal\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Alpha\",\"Beta\",\"Beta\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Ngn3 high EP\",\"Epsilon\",\"Epsilon\",\"Ductal\",\"Ductal\",\"Ductal\",\"Beta\",\"Alpha\",\"Ductal\",\"Ductal\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Beta\",\"Ngn3 low EP\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Alpha\",\"Ductal\",\"Alpha\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ductal\",\"Ductal\",\"Pre-endocrine\",\"Ngn3 low EP\",\"Ductal\",\"Ductal\",\"Pre-endocrine\",\"Alpha\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ductal\",\"Ductal\",\"Ductal\",\"Beta\",\"Pre-endocrine\",\"Ngn3 low EP\",\"Alpha\",\"Ductal\",\"Alpha\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Alpha\",\"Pre-endocrine\",\"Ductal\",\"Ductal\",\"Beta\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 low EP\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Beta\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Alpha\",\"Beta\",\"Ductal\",\"Pre-endocrine\",\"Pre-endocrine\",\"Alpha\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ductal\",\"Ngn3 low EP\",\"Ngn3 low EP\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Alpha\",\"Ductal\",\"Epsilon\",\"Ngn3 low EP\",\"Beta\",\"Beta\",\"Ductal\",\"Ductal\",\"Pre-endocrine\",\"Beta\",\"Alpha\",\"Ngn3 low EP\",\"Ngn3 low EP\",\"Ductal\",\"Ngn3 low EP\",\"Beta\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Alpha\",\"Beta\",\"Alpha\",\"Beta\",\"Ngn3 high EP\",\"Alpha\",\"Epsilon\",\"Alpha\",\"Pre-endocrine\",\"Beta\",\"Ngn3 low EP\",\"Beta\",\"Ductal\",\"Beta\",\"Beta\",\"Beta\",\"Ngn3 low EP\",\"Alpha\",\"Beta\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Pre-endocrine\",\"Pre-endocrine\",\"Beta\",\"Ductal\",\"Beta\",\"Beta\",\"Pre-endocrine\",\"Ductal\",\"Ductal\",\"Ngn3 low EP\",\"Ductal\",\"Beta\",\"Delta\",\"Pre-endocrine\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 high EP\",\"Beta\",\"Ductal\",\"Ngn3 low EP\",\"Ductal\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Beta\",\"Alpha\",\"Ngn3 high EP\",\"Beta\",\"Pre-endocrine\",\"Beta\",\"Delta\",\"Beta\",\"Ngn3 low EP\",\"Epsilon\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ngn3 low EP\",\"Alpha\",\"Ngn3 high EP\",\"Ngn3 low EP\",\"Beta\",\"Alpha\",\"Epsilon\",\"Ductal\",\"Beta\",\"Pre-endocrine\",\"Pre-endocrine\",\"Beta\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Beta\",\"Alpha\",\"Beta\",\"Ngn3 low EP\",\"Ngn3 low EP\",\"Ductal\",\"Ductal\",\"Pre-endocrine\",\"Alpha\",\"Pre-endocrine\",\"Beta\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Ductal\",\"Alpha\",\"Alpha\",\"Ngn3 high EP\",\"Ductal\",\"Beta\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Beta\",\"Ngn3 low EP\",\"Ngn3 low EP\",\"Alpha\",\"Beta\",\"Ductal\",\"Ngn3 low EP\",\"Alpha\",\"Ductal\",\"Beta\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Epsilon\",\"Beta\",\"Ductal\",\"Ngn3 high EP\",\"Ngn3 low EP\",\"Ductal\",\"Alpha\",\"Alpha\",\"Ductal\",\"Beta\",\"Ductal\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 low EP\",\"Ductal\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Beta\",\"Ngn3 high EP\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Beta\",\"Ductal\",\"Beta\",\"Ductal\",\"Beta\",\"Beta\",\"Ductal\",\"Alpha\",\"Epsilon\",\"Alpha\",\"Ductal\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Epsilon\",\"Alpha\",\"Alpha\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Alpha\",\"Ductal\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 low EP\",\"Ductal\",\"Ductal\",\"Ngn3 low EP\",\"Beta\",\"Pre-endocrine\",\"Alpha\",\"Beta\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Ductal\",\"Ductal\",\"Alpha\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Beta\",\"Ductal\",\"Beta\",\"Beta\",\"Beta\",\"Beta\",\"Alpha\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Alpha\",\"Ductal\",\"Pre-endocrine\",\"Alpha\",\"Beta\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Beta\",\"Alpha\",\"Ductal\",\"Pre-endocrine\",\"Pre-endocrine\",\"Beta\",\"Ngn3 low EP\",\"Beta\",\"Alpha\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Delta\",\"Pre-endocrine\",\"Pre-endocrine\",\"Beta\",\"Pre-endocrine\",\"Beta\",\"Ngn3 low EP\",\"Ductal\",\"Alpha\",\"Pre-endocrine\",\"Ductal\",\"Ductal\",\"Beta\",\"Alpha\",\"Ngn3 high EP\",\"Ngn3 low EP\",\"Ductal\",\"Alpha\"],\"colors\":[\"#A6CEE3\",\"#1F78B4\",\"#B2DF8A\",\"#33A02C\",\"#FDBF6F\",\"#FF7F00\",\"#FB9A99\",\"#E31A1C\"],\"marker\":{\"size\":1.5},\"showlegend\":true,\"visible\":true,\"inherit\":true}},\"layout\":{\"margin\":{\"b\":40,\"l\":60,\"t\":25,\"r\":10},\"title\":{\"text\":\"Total (nCells:1000)\",\"font\":{\"size\":16,\"color\":\"black\"},\"y\":0.94999999999999996},\"font\":{\"size\":12,\"color\":\"black\"},\"showlegend\":true,\"legend\":{\"itemsizing\":\"constant\",\"y\":0.5,\"x\":1,\"xanchor\":\"left\",\"alpha\":1},\"scene\":{\"xaxis\":{\"title\":\"StandardpcaUMAP3D_1\",\"range\":[-6.5008796387948093,4.953642970915884]},\"yaxis\":{\"title\":\"StandardpcaUMAP3D_2\",\"range\":[-5.430299611890689,6.5767537633534516]},\"zaxis\":{\"title\":\"StandardpcaUMAP3D_3\",\"range\":[-4.5793383473595606,3.8996264582434668]},\"aspectratio\":{\"x\":1,\"y\":1,\"z\":1}},\"autosize\":false,\"hovermode\":\"closest\"},\"source\":\"A\",\"config\":{\"modeBarButtonsToAdd\":[\"hoverclosest\",\"hovercompare\"],\"showSendToCloud\":false},\"data\":[{\"x\":[-5.6886261636056004,-5.872935169342905,-6.1831148797310886,-5.3833645516671238,-5.4914945298470554,-5.4327911073006687,-5.5798309975899754,-5.9773162537850437,-5.7239893609322605,-4.9453610116280613,-5.35839688122645,-5.3330701524056492,-5.9224170380868015,-5.5498193436898289,-5.919978969696909,-5.3041442567147312,-6.1821497613228855,-5.6242302590645847,-5.2006577187813816,-5.503446930054575,-5.8125513726510105,-5.3745692902840672,-5.2250226670540867,-6.1476582223214207,-5.6930960351265965,-5.7689450913704929,-5.2924097710885105,-5.672373645905405,-5.6623295480050144,-5.9470547372139988,-5.6904171639718113,-5.7528332406319675,-6.2177075082100925,-5.4631804162301121,-5.5754865342415867,-5.7706888848580418,-6.1108916932381687,-5.4041060143746433,-5.4442418748177586,-5.7719706231392918,-6.4100536042489109,-5.6914991074837742,-6.0249489480294285,-5.4014824563302097,-5.2602528268136082,-6.1109894448556004,-5.9845112496651707,-6.0393150979317722,-5.7518080407418308,-5.7148393327035008,-6.0209578210152683,-5.3508690530098972,-5.8466519051827488,-5.1293190652169285,-5.8394626313485203,-6.0309356385506687,-5.3975976640023289,-5.6858676606453953,-5.7005304032601414,-6.0058206254281101,-5.9610012704171238,-5.7542136842049656,-5.5800021821297703,-6.3277510339058933,-6.03074156582728,-5.7518442803658543,-5.3374651604928074,-5.1002482110299168,-5.9069336587227879,-5.6807621651925144,-5.7964295083321629,-6.2621782952584324,-5.3787101441659031,-5.8648399049080906,-5.6811984711922703,-5.3548949891366062,-6.2212966614998875,-5.4770072633065281,-5.3982642823494968,-5.8888567620553074,-5.9591859513558445,-5.4930647546090183,-5.7994507485665379,-5.3392757111825047,-6.3571780854500828,-5.2326768571175633,-5.2379931145943699,-5.8231190377511082,-6.1248058015145359,-6.0432237321175633,-6.0586279565133152,-5.1990746194161472,-5.7977875405587254,-5.6799820596016941,-5.2353085213936863,-5.8318871194161472,-5.2169026070870457,-5.7484263116158543,-5.0677164727486668,-5.508423679474741,-5.7000273400582371,-6.0327304536141453,-6.2344092065133152,-5.5369199448861179,-6.3334220582284031,-6.2132896119393406,-5.7791112595833836,-5.9049895936287937,-5.6211966210640965,-5.0892194443978367,-6.1054814988411961,-5.3443311387337742,-5.7632640534676609,-5.5107792550362644,-5.9925340348519383,-6.0116313630379734,-5.4791096383370457,-5.3072446519173679,-5.5963596040047703,-5.4898661309517918,-5.9866064721383152,-5.5977681809701023,-6.0059684449471531,-5.9642866784371433,-5.2662986451424656,-5.7654126817025242,-5.0087841683663425,-5.4355901414193211,-5.6280082398690281,-5.3360952073372898,-5.5685132676400242,-6.0200279885567722,-5.3996018105782566,-5.3638433152474461,-5.9462650948800144,-6.0231627160347996,-5.7078756028451023,-5.3460568124093113,-5.3954003983773289,-5.3247002297677097,-5.1755126649178562,-5.0755652123726902,-5.8730138474740086,-5.2855743104256687,-5.8428872758187351,-5.8968070679940281,-5.6920345956124363,-4.472365968827158,-5.5271786385811863,-6.0224155122078953,-4.9960721665658054,-5.2678822213448582,-5.5907281571663914,-5.6040223771370945,-5.5447462731637058,-5.2768815690316258,-5.6282089883126316,-5.5163015061654148,-5.6191514664925633,-5.7415689164437351,-5.2534431153573093,-6.0725492173470554,-5.4860662156380711,-5.8056019479073582,-5.3344272309578953,-5.4571069413460789,-5.1797989541329441,-5.3959749871529636,-5.925296180848032,-5.6979926759041843,-6.0896280938424168,-6.4130009347237644,-5.9415091210640965,-5.5412248307503758,-5.2964433366097508,-5.5755661660470066,-5.8213099175728855,-6.1728409463204441,-5.6546972924508152,-5.5775760346688328,-5.4664224320687351,-5.6370757752694187,-5.3552411729134617,-6.0912598305977879,-5.6369341546334324,-5.7004131013192234,-5.8644889527596531,-5.7232388192452488,-5.2029036217965183,-5.2785514527596531,-5.2538922959603367,-6.25950133145228,-5.8988321954049168,-5.4856384927071629,-5.2093313866890965,-5.3409093552865086,-6.0478628808297215,-6.3964275056160984,-5.4763725930489597,-5.7636789017952976,-5.1860245400704441,-5.1791127854622898,-6.0973647767342625,-5.7025231057442722,-5.3414553338326511,-5.8377684289254246,-5.7322076493538914,-5.9279640847481785,-5.7661789590157566,-5.8282102280892429,-5.0930021935738621,-5.9298237496651707,-5.3608812028206883,-5.6868876153267918,-6.0093773537911472,-5.3116773301400242,-5.5967267686165867,-5.8418825799264011,-5.6537359887398777,-5.0288318330086765,-5.9399326974190769,-5.858338230255991,-5.0883473092354832,-6.0411423379220066,-5.8218725854195652,-6.5008796387948093,-5.3025659257210789,-6.0911062890328465,-5.4109014207161961,-5.2523106271065769,-5.1373242074288425,-5.7402013474740086,-5.9681919747628269,-5.4591568642891941,-6.054481857422739,-5.5244868928231297,-5.4960130387581883,-5.8595412904061375,-5.3156188660897312],\"y\":[-2.4239424188975245,-1.060248257720843,-0.0031989534739405023,0.82002225319109856,-1.9023222645167261,-0.07431981166638435,-0.24890917738713325,-0.72892709089256824,-2.6646362264994532,-1.6714509447459132,-0.90599982639588417,-2.3076520880106837,0.90666511455737053,0.78360476890765129,-0.0071892460230738031,1.0902816335316747,0.10975864330492913,-1.4930325468424708,-1.6865774711016566,-2.5282889326456934,0.2322489897366613,0.4737764875050634,-2.3206523378733546,0.040917066728696216,-1.8718527277354151,-1.0547011216524989,-2.5049843510035426,0.58263471523486077,-0.33809483250416816,-0.0042112191561609613,1.3101433793660253,-2.5156374891642481,-0.66058179190196098,-1.4961245973948389,-2.3944978435877711,-0.52450566192902626,-0.37305695017613472,-2.5921070297602564,-2.5512525757197291,-2.8423815687540919,-0.22580784758366645,-2.1058399399165064,0.032660750543698658,-1.5147729237917811,-2.7303775270823389,-0.18605199655331672,-0.75979690825380386,-0.47790557345189155,0.37111750045977532,-1.2477879842165858,0.24557277361117302,-2.534595580900088,-0.97541529139317573,-2.9255004843119532,1.2918585816975683,-1.7989293058756739,-2.089099975431338,-0.6945296322349459,-0.55396698614396156,1.0733109990712255,0.79236331382952629,0.90493681827746331,0.96703484455309807,0.43656936088763176,-1.2767833789233118,-2.3413816412333399,-2.3667430599574,-3.4312649687174708,0.73083033958636223,-2.3397497852686793,-2.555000158155337,-0.081854196393862377,-2.6187299211863428,-0.81959226926602424,-2.2445436437968165,-2.1371415575388819,-0.63256122370995582,-0.86869067152775825,-1.3599250038508326,-0.89102895756997169,-0.5421614368800074,-1.2548774202708155,-0.303394796455279,-1.8503794391993433,-0.25962552627362312,-2.3545452078226954,-2.9843977411631495,0.4603710452672094,-0.60679900100268425,0.77471056381426751,-0.49307361444272102,-2.3902754505518824,-0.57716794511117042,1.0069606582280248,-2.7188754995707423,0.4815432111378759,-1.6154571493510157,-2.5282175262812525,-2.2374744137171656,-0.74580705364979805,0.63541057506762444,-0.041548641527071606,0.584676412736997,-0.47898596724309028,-0.063820513093844067,-0.85163870652951301,-1.6689185818079859,-1.208278807008639,0.16766300598345696,-3.1717403849009425,-0.51668662031926216,-2.2253373583201319,1.1124904433842748,-2.0713031013850123,0.68430438438616692,-0.44561726053990425,-1.7000657041911036,-2.6961437185648829,-2.6139056404475123,-2.5415188988093287,-0.46387927433289589,0.58100822368822991,-0.52378004988469185,0.30252352157793938,-3.302570434415713,-0.19752535423077644,-1.6426285227183253,-1.2037187536600977,-2.6689614971522242,-0.59392323544062675,-2.485010357702151,-0.55357498129643501,-1.966421695554629,1.1090861837025732,-0.28003990849293769,0.32085719505511223,-1.5454110821131617,-1.7415537556055933,-1.4735290130022913,-2.5246780832652003,-2.1143266876582056,0.45906033912859856,-0.46734926303662361,-3.1791225393656641,-0.26577314933575691,-1.6685838421229273,1.3025166074391454,2.9335071126576513,0.5133655349370092,-0.51868814429081977,-1.7872458418253809,1.5110184232350439,-1.2300030310992152,-1.2066546698454768,-2.6143294294718653,-2.6177423914317042,-1.0108128507975489,-0.79877247860468925,-0.31409719785489143,-1.3025124987009913,-2.3140825947169215,0.41521671215258538,-2.2987181862238795,-1.0797995050791651,-1.9105398376826197,0.51899733940325676,-1.5136269052866846,0.45066287914477288,-0.091579588258638989,-1.3130245526675135,0.11476179758273064,-0.18845281204022468,-1.0779137929324061,-2.3972980697993189,-1.8019695003870875,-2.9782463034037501,-1.0323364158514887,0.30194666782580315,-0.17712667783536018,-0.47259341379441322,-2.5780229290369898,-1.6972892006281763,-2.4918985088709742,-0.4765626957062632,0.59758129516802727,-0.057403357828035961,-0.93062654336728157,-1.2473947127703577,-1.5495269616488367,-2.4978031834010035,-2.0420862158183009,0.33577218452654778,-0.76057930489815773,-0.41820094188489021,-3.3232058008555323,-2.5770795067194849,-0.31931096514500679,-0.036010058725252758,-2.9598692377451807,-0.38724771341122688,-2.281199904287234,-3.4103980978373438,-0.40766781767643989,-2.5683570822123438,-2.4603950699213892,0.18474444547854363,-2.422739358747378,-0.80372051348723472,1.1226489822026342,-0.78446293076314033,-1.7862660606745631,-1.0091382583025843,-2.5390444715861231,-1.2197047789935023,-0.56570275327004493,-2.8032799681071192,0.88983025947771965,-1.3213318904284388,-0.76926513587869705,2.0702642480488866,-0.63595286955870689,-0.9315751661900431,1.6518577615376562,-0.25433305105008186,-0.59171976348198951,-0.027807446325197827,-2.6738413294199854,-0.7417087220940739,-2.4503285606745631,-3.294992776716128,-3.1253803690318018,-1.1817605515364558,-0.50720545848645271,-2.705123277509585,0.035058585798367847,-1.6979959925059229,-2.0426032265070826,-1.8615666349772364,-1.9412618597391993],\"z\":[1.7209126597205178,2.527021372870542,-1.1616564149102195,-1.8559828156670555,3.2410707121649756,-1.0455540770730003,-1.7735357636651023,-1.9872184151848777,1.5473641997138039,2.6814934855261816,-1.3942010754784568,-0.33500662986841051,-0.84139434043969952,-2.0481994504174219,0.22023350949678572,-2.3228574151238428,-0.56737945024576031,0.837201023654081,2.9908573275366797,1.9862050658026711,-0.17170277778711168,-1.7915833348473533,2.4751481657782568,-0.87906924430932842,3.3997888212958349,-1.3295537585457786,2.2881769781867041,-2.3060582036217676,-0.78535715286340557,-1.2004583234032615,-1.6618275994500145,1.5621211176672951,-2.1065354699334131,3.0720355158606543,0.94232525880727924,-1.849751507683657,-2.0330062264641748,2.0160249119559301,0.14952222462091597,1.6737135296622292,-0.94935015384759747,0.74750124867353596,-0.94834426586236797,3.1389162188330664,0.32490608300361784,-1.1544330472191795,1.0214734321394936,0.88445487077627338,-0.29914370719995348,-1.0816707963189109,-0.32863870803918688,-0.092906569882296008,0.74785491283331074,0.18445610459242018,-1.2093589657982811,3.7233423834601416,-0.49340949003305284,0.059543306187726575,-1.8433957452019676,-1.2986466044625267,-0.88790789787378155,-2.02537015621271,-1.6897497529229148,-1.2289797419747337,3.3604943400183691,1.3127427345076577,1.3196410780707375,1.1913472061911599,-1.9469058865746482,1.0154487734595314,1.4312659149924294,-1.6040673608025535,0.12375443632993849,-1.4128768796166404,0.77422132547292866,2.6971456652441992,-2.036694561882876,-1.0017899626931175,2.8106479292670263,0.7931694930354134,0.098663741902448254,-1.1353292817315086,-2.2370138520440088,-0.73369005863275372,-0.45105413143243639,1.4027789479056374,1.7184003239432351,-1.1653086299141868,-2.2032118195733057,-1.7908523434838279,-2.1815410012444483,2.2979336624899878,-0.360995268269442,-1.2482587451180442,2.0755170231619848,-1.052843605919741,2.9087946062842382,1.6430362110892311,2.6027874594489111,-1.3492400998314842,-1.486954843445681,-0.14174357597436754,-0.75427452270593487,-1.2737386578759178,-1.6466327065667137,-1.8502304906090721,3.4627344256201757,3.0283591395178808,-0.77350369636621319,0.82426616008672871,1.0397622233191506,-0.52546677534189068,-1.7740826958855613,3.1895594244757666,-0.73427704517450176,-2.2196486348351465,-0.46725687925424425,-0.08763489667978136,1.7370013838568703,0.55308466608915485,-0.35568419639673082,-2.3364601487359034,0.90753599460516132,-1.1180763596734031,1.2952232008734719,0.043047363118268567,2.8571991568366064,-1.0320638770302757,1.3689778691092507,-1.3047206753930076,1.1861673241415993,0.96773936803732075,-0.61603239719476544,-2.2865541333397852,0.47733135725650938,-0.85122517292108379,3.5315065031806006,2.8295335417548193,2.813250506476499,-0.17830512468423693,2.5517861491004004,-1.9490778798302635,-2.0694294327935205,1.0883080011168496,0.24303577299509199,3.4216956740180029,-1.4250539893349632,-2.2967899197777735,-1.7053244466027244,0.61508458311948933,2.6585242396155371,-1.7592449540337547,2.296513879851438,-1.2292689437111839,0.8907671218672768,-0.10765579883661119,-1.2360688800057396,-0.86720553581323467,-1.7001874798974022,-1.2176562899788841,-0.45528093521203844,-0.068795179768465442,0.24904445763025435,0.6631188338557259,2.2579960470953955,-1.4042799824913963,2.7577550059119238,-2.0003671998223291,0.18651787395868452,0.43843322451505812,-0.33383670990075914,-0.53754291479196392,2.773108208731748,0.54893437977228321,3.0268418436804785,1.4449412470618264,1.4355934506217018,-0.21482173149194567,-0.17167637292947618,-0.21886805240716783,0.57198853249941028,3.2400831824103369,-0.13236359302606432,-0.18778732959832994,-1.7135117406090721,-1.4591155404290184,-1.2075527066430076,-1.2754156941613182,2.884389365271665,2.0701118355551733,2.5993244295874609,-1.3153759593209251,0.87915643508825458,-1.0798709744652732,1.667353714064695,0.037134016112424451,-0.90237275306787335,-1.1737389916619285,1.7570126896658913,0.02872138674650343,2.4830815439978613,1.1477381830969826,-0.53395435754861675,1.2779807096282021,1.2107753997603432,-2.2431216592034326,1.6426313763419167,-1.9241636151513084,-1.3984380120476707,0.19010824914369734,2.7292859202185644,2.4331793432990088,-0.075243359251879138,-0.75211945716943585,0.86275687272939838,1.3238997703352944,-2.0534053200921045,3.2318439131537451,-0.60239753667917095,-2.0540738457879053,-1.4164207333764061,0.66361799295339741,-2.2756264561852442,-0.42767701093759386,-1.2472914809426292,-1.4120872372826561,0.075430149392224866,-1.9588947648247703,1.6331224089423195,1.5138283615866677,0.72607460077200092,0.54873485322389759,0.79618325288686909,1.1803533678809182,0.071157509640790539,3.2758783942023291,0.077136183337308484,3.4548844939032568,2.9304322844306006],\"text\":[\"Cell:CAGCCGAAGCGATATA
group.by:Ductal
color:Ductal\",\"Cell:CGGAGCTCATTGGGCC
group.by:Ductal
color:Ductal\",\"Cell:AGAGCTTGTGTGACCC
group.by:Ductal
color:Ductal\",\"Cell:ACGGCCACACGTGAGA
group.by:Ductal
color:Ductal\",\"Cell:AAAGCAACACGGTAAG
group.by:Ductal
color:Ductal\",\"Cell:CACTCCACATATGGTC
group.by:Ductal
color:Ductal\",\"Cell:ACGGGTCTCTATCGCC
group.by:Ductal
color:Ductal\",\"Cell:GCAGTTATCTTGAGAC
group.by:Ductal
color:Ductal\",\"Cell:CAGAATCCACGCATCG
group.by:Ductal
color:Ductal\",\"Cell:AGAGCGAGTTGGACCC
group.by:Ductal
color:Ductal\",\"Cell:TGGCGCAAGAAGATTC
group.by:Ductal
color:Ductal\",\"Cell:GTGCATACAATAGCAA
group.by:Ductal
color:Ductal\",\"Cell:AGCTCTCTCAACACGT
group.by:Ductal
color:Ductal\",\"Cell:ACGAGCCGTGACTACT
group.by:Ductal
color:Ductal\",\"Cell:TAAGTGCAGGGTTTCT
group.by:Ductal
color:Ductal\",\"Cell:CGGACTGAGGTAGCTG
group.by:Ductal
color:Ductal\",\"Cell:AGGCCACCACCTATCC
group.by:Ductal
color:Ductal\",\"Cell:CATATGGCATGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:ATCATCTTCTGTCAAG
group.by:Ductal
color:Ductal\",\"Cell:GTCAAGTGTGGTCCGT
group.by:Ductal
color:Ductal\",\"Cell:TTTGTCAGTTGTTTGG
group.by:Ductal
color:Ductal\",\"Cell:TTAGGACAGCTAAGAT
group.by:Ductal
color:Ductal\",\"Cell:AGCAGCCCAGGAATGC
group.by:Ductal
color:Ductal\",\"Cell:TGGCCAGCACGAAAGC
group.by:Ductal
color:Ductal\",\"Cell:TGGCGCACAATGTTGC
group.by:Ductal
color:Ductal\",\"Cell:CGTGTCTTCTTGTCAT
group.by:Ductal
color:Ductal\",\"Cell:CCTAAAGTCATGCAAC
group.by:Ductal
color:Ductal\",\"Cell:GAAATGACACATGACT
group.by:Ductal
color:Ductal\",\"Cell:ACTGAGTAGGCTAGGT
group.by:Ductal
color:Ductal\",\"Cell:GTTCTCGCAGCTGGCT
group.by:Ductal
color:Ductal\",\"Cell:ACTGAACAGCCTCGTG
group.by:Ductal
color:Ductal\",\"Cell:TTAACTCGTCCGAACC
group.by:Ductal
color:Ductal\",\"Cell:TCCCGATGTAAGTGTA
group.by:Ductal
color:Ductal\",\"Cell:GATCGCGAGCTGAACG
group.by:Ductal
color:Ductal\",\"Cell:ACCGTAATCTATCCCG
group.by:Ductal
color:Ductal\",\"Cell:GAACGGATCACAACGT
group.by:Ductal
color:Ductal\",\"Cell:CAGCTAACAACACGCC
group.by:Ductal
color:Ductal\",\"Cell:CAGATCATCTCGATGA
group.by:Ductal
color:Ductal\",\"Cell:GCGCCAAAGAGGTTAT
group.by:Ductal
color:Ductal\",\"Cell:GTAACTGTCAGTGCAT
group.by:Ductal
color:Ductal\",\"Cell:GATGAAAAGACAGACC
group.by:Ductal
color:Ductal\",\"Cell:AACTTTCGTGGTCCGT
group.by:Ductal
color:Ductal\",\"Cell:TCGTACCCATATACGC
group.by:Ductal
color:Ductal\",\"Cell:TGGTTCCGTTGATTCG
group.by:Ductal
color:Ductal\",\"Cell:ACGTCAACAGACAAAT
group.by:Ductal
color:Ductal\",\"Cell:CTTTGCGGTACTTGAC
group.by:Ductal
color:Ductal\",\"Cell:GGAACTTGTCGAACAG
group.by:Ductal
color:Ductal\",\"Cell:GAGGTGATCTAGCACA
group.by:Ductal
color:Ductal\",\"Cell:CGTAGCGTCACTATTC
group.by:Ductal
color:Ductal\",\"Cell:AAACGGGCACTGTGTA
group.by:Ductal
color:Ductal\",\"Cell:CGTTCTGTCCGCGGTA
group.by:Ductal
color:Ductal\",\"Cell:ACTGATGAGTGCAAGC
group.by:Ductal
color:Ductal\",\"Cell:GAGTCCGCAATTGCTG
group.by:Ductal
color:Ductal\",\"Cell:TTTCCTCTCTGAAAGA
group.by:Ductal
color:Ductal\",\"Cell:GTCATTTGTCTCAACA
group.by:Ductal
color:Ductal\",\"Cell:GACTAACCACTCGACG
group.by:Ductal
color:Ductal\",\"Cell:GAATAAGTCTGATACG
group.by:Ductal
color:Ductal\",\"Cell:CAGGTGCAGACTTGAA
group.by:Ductal
color:Ductal\",\"Cell:GAGGTGAAGCTACCTA
group.by:Ductal
color:Ductal\",\"Cell:TGGCGCAGTGTATGGG
group.by:Ductal
color:Ductal\",\"Cell:GTCTTCGTCCTACAGA
group.by:Ductal
color:Ductal\",\"Cell:TGCCCTACAATCACAC
group.by:Ductal
color:Ductal\",\"Cell:TCACAAGAGCCACTAT
group.by:Ductal
color:Ductal\",\"Cell:TGGTTCCAGGAATGGA
group.by:Ductal
color:Ductal\",\"Cell:GATCGCGTCTGGAGCC
group.by:Ductal
color:Ductal\",\"Cell:CCGTACTGTTACTGAC
group.by:Ductal
color:Ductal\",\"Cell:TCAACGACACCATCCT
group.by:Ductal
color:Ductal\",\"Cell:CGTCCATCATGGTAGG
group.by:Ductal
color:Ductal\",\"Cell:CTAGCCTGTGCGATAG
group.by:Ductal
color:Ductal\",\"Cell:GACCAATGTACGAAAT
group.by:Ductal
color:Ductal\",\"Cell:GTATTCTTCAGGTAAA
group.by:Ductal
color:Ductal\",\"Cell:TACCTATGTAACGTTC
group.by:Ductal
color:Ductal\",\"Cell:CCAGCGACAGCGATCC
group.by:Ductal
color:Ductal\",\"Cell:CGCTGGACATCCTAGA
group.by:Ductal
color:Ductal\",\"Cell:ACTGTCCAGGTTCCTA
group.by:Ductal
color:Ductal\",\"Cell:CCACGGAGTCTTGATG
group.by:Ductal
color:Ductal\",\"Cell:AGATTGCCACCAGGCT
group.by:Ductal
color:Ductal\",\"Cell:CACCAGGGTACCTACA
group.by:Ductal
color:Ductal\",\"Cell:GAATGAACAGCCTTGG
group.by:Ductal
color:Ductal\",\"Cell:CGCTGGAAGGGCATGT
group.by:Ductal
color:Ductal\",\"Cell:TAAACCGCATTCCTCG
group.by:Ductal
color:Ductal\",\"Cell:CACAGTAGTTCCTCCA
group.by:Ductal
color:Ductal\",\"Cell:TCGCGAGCACACATGT
group.by:Ductal
color:Ductal\",\"Cell:ACGGCCACACGCTTTC
group.by:Ductal
color:Ductal\",\"Cell:TGAGGGACAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:CAGCGACCACAGGAGT
group.by:Ductal
color:Ductal\",\"Cell:GGACAGATCCTGCAGG
group.by:Ductal
color:Ductal\",\"Cell:AACTTTCCACTGCCAG
group.by:Ductal
color:Ductal\",\"Cell:TGCACCTAGTACGCGA
group.by:Ductal
color:Ductal\",\"Cell:GAACGGACAAGGTGTG
group.by:Ductal
color:Ductal\",\"Cell:CGAGCACTCTACCTGC
group.by:Ductal
color:Ductal\",\"Cell:CATCGAAAGATGTTAG
group.by:Ductal
color:Ductal\",\"Cell:ACTTTCAAGGATATAC
group.by:Ductal
color:Ductal\",\"Cell:GATCAGTGTATAATGG
group.by:Ductal
color:Ductal\",\"Cell:AGCGTATCAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:CGAATGTAGTTCCACA
group.by:Ductal
color:Ductal\",\"Cell:AGCTTGATCTGACCTC
group.by:Ductal
color:Ductal\",\"Cell:CCGTACTGTTCCACTC
group.by:Ductal
color:Ductal\",\"Cell:CTTACCGCAAAGTCAA
group.by:Ductal
color:Ductal\",\"Cell:CGGTTAATCGTCTGAA
group.by:Ductal
color:Ductal\",\"Cell:CTCGTCATCGGTCTAA
group.by:Ductal
color:Ductal\",\"Cell:ATCATCTAGTGATCGG
group.by:Ductal
color:Ductal\",\"Cell:GAGGTGAGTGACAAAT
group.by:Ductal
color:Ductal\",\"Cell:TCTTTCCGTTATGTGC
group.by:Ductal
color:Ductal\",\"Cell:CCCAGTTAGGTGCTAG
group.by:Ductal
color:Ductal\",\"Cell:GAATGAACAATCGAAA
group.by:Ductal
color:Ductal\",\"Cell:GACTACACATATGAGA
group.by:Ductal
color:Ductal\",\"Cell:GTGCTTCTCCAAACTG
group.by:Ductal
color:Ductal\",\"Cell:GCTCCTAGTCGGGTCT
group.by:Ductal
color:Ductal\",\"Cell:CGTGAGCAGTCTCAAC
group.by:Ductal
color:Ductal\",\"Cell:ACGCCAGGTTCTGAAC
group.by:Ductal
color:Ductal\",\"Cell:GGACGTCCAGTATCTG
group.by:Ductal
color:Ductal\",\"Cell:TGACTAGCACGGTGTC
group.by:Ductal
color:Ductal\",\"Cell:CTCGAGGTCAACTCTT
group.by:Ductal
color:Ductal\",\"Cell:AACTCTTAGCTGCGAA
group.by:Ductal
color:Ductal\",\"Cell:CGTGTCTGTAGTGAAT
group.by:Ductal
color:Ductal\",\"Cell:ATCCGAACACGGTAGA
group.by:Ductal
color:Ductal\",\"Cell:TACGGGCAGATTACCC
group.by:Ductal
color:Ductal\",\"Cell:GCGCAGTGTCCTAGCG
group.by:Ductal
color:Ductal\",\"Cell:GTGCATAAGAATGTTG
group.by:Ductal
color:Ductal\",\"Cell:GGACATTAGAAACCAT
group.by:Ductal
color:Ductal\",\"Cell:CATGACACATCCGCGA
group.by:Ductal
color:Ductal\",\"Cell:ACGGGTCAGGGTGTTG
group.by:Ductal
color:Ductal\",\"Cell:ACTGTCCGTGCGATAG
group.by:Ductal
color:Ductal\",\"Cell:AACTCAGTCTGGTTCC
group.by:Ductal
color:Ductal\",\"Cell:TGCGGGTTCTCAAACG
group.by:Ductal
color:Ductal\",\"Cell:CAGCCGAAGTAGGTGC
group.by:Ductal
color:Ductal\",\"Cell:GCTGCAGCAATCCAAC
group.by:Ductal
color:Ductal\",\"Cell:CGCTTCATCAGTTCGA
group.by:Ductal
color:Ductal\",\"Cell:GATCTAGGTGCCTTGG
group.by:Ductal
color:Ductal\",\"Cell:TTGGCAATCGAACGGA
group.by:Ductal
color:Ductal\",\"Cell:CATCGAAGTTACGCGC
group.by:Ductal
color:Ductal\",\"Cell:GTCAAGTCAAAGTGCG
group.by:Ductal
color:Ductal\",\"Cell:GGGAATGCACATTTCT
group.by:Ductal
color:Ductal\",\"Cell:CAGCTAAAGAGCCCAA
group.by:Ductal
color:Ductal\",\"Cell:GTGCAGCGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:AACGTTGCATGGGACA
group.by:Ductal
color:Ductal\",\"Cell:TCGCGAGTCAACGCTA
group.by:Ductal
color:Ductal\",\"Cell:CGAACATTCACAAACC
group.by:Ductal
color:Ductal\",\"Cell:TCTATTGTCACATAGC
group.by:Ductal
color:Ductal\",\"Cell:TGAGCATTCGGGAGTA
group.by:Ductal
color:Ductal\",\"Cell:TTGTAGGCATACTCTT
group.by:Ductal
color:Ductal\",\"Cell:GTAACGTGTCACTGGC
group.by:Ductal
color:Ductal\",\"Cell:GGTGCGTGTCCGAGTC
group.by:Ductal
color:Ductal\",\"Cell:CCTTCCCCAAAGTGCG
group.by:Ductal
color:Ductal\",\"Cell:CTGATAGAGCTCAACT
group.by:Ductal
color:Ductal\",\"Cell:GTTCATTAGGGTCTCC
group.by:Ductal
color:Ductal\",\"Cell:CCAATCCAGAGTAAGG
group.by:Ductal
color:Ductal\",\"Cell:GCTCCTATCTCACATT
group.by:Ductal
color:Ductal\",\"Cell:CTACCCAGTCAAACTC
group.by:Ductal
color:Ductal\",\"Cell:TGGCCAGAGCTACCTA
group.by:Ductal
color:Ductal\",\"Cell:CGATTGAAGTCTTGCA
group.by:Ductal
color:Ductal\",\"Cell:TTCGGTCGTCACAAGG
group.by:Ductal
color:Ductal\",\"Cell:GTCTCGTCACGTGAGA
group.by:Ductal
color:Ductal\",\"Cell:AGAGCTTGTTAAAGAC
group.by:Ductal
color:Ductal\",\"Cell:GCTCTGTTCGCTTAGA
group.by:Ductal
color:Ductal\",\"Cell:CTGATCCTCAGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:CACAGTATCTTAGAGC
group.by:Ductal
color:Ductal\",\"Cell:TTAGGCAGTAGCGTAG
group.by:Ductal
color:Ductal\",\"Cell:ACTGAACAGTACATGA
group.by:Ductal
color:Ductal\",\"Cell:GGAAAGCGTACGCACC
group.by:Ductal
color:Ductal\",\"Cell:CCCTCCTGTCTAACGT
group.by:Ductal
color:Ductal\",\"Cell:GCTGCTTGTCTTCAAG
group.by:Ductal
color:Ductal\",\"Cell:ATAAGAGTCCACGTTC
group.by:Ductal
color:Ductal\",\"Cell:CACCACTGTCGGCTCA
group.by:Ductal
color:Ductal\",\"Cell:ACGAGCCCACTCTGTC
group.by:Ductal
color:Ductal\",\"Cell:CACAGTATCAGAGGTG
group.by:Ductal
color:Ductal\",\"Cell:TTGAACGGTGATGCCC
group.by:Ductal
color:Ductal\",\"Cell:ATCATGGTCCAGAGGA
group.by:Ductal
color:Ductal\",\"Cell:AGCTTGACAGTAAGAT
group.by:Ductal
color:Ductal\",\"Cell:CGTCACTGTCAGGACA
group.by:Ductal
color:Ductal\",\"Cell:CGGAGCTGTTCTGAAC
group.by:Ductal
color:Ductal\",\"Cell:CAACTAGAGCTTCGCG
group.by:Ductal
color:Ductal\",\"Cell:GGAAAGCGTCTTGATG
group.by:Ductal
color:Ductal\",\"Cell:CATCCACAGTCACGCC
group.by:Ductal
color:Ductal\",\"Cell:TCAGGTACACTGTCGG
group.by:Ductal
color:Ductal\",\"Cell:GGGCATCCATGACATC
group.by:Ductal
color:Ductal\",\"Cell:GACGCGTCATTTCAGG
group.by:Ductal
color:Ductal\",\"Cell:ATTGGTGTCCAGTATG
group.by:Ductal
color:Ductal\",\"Cell:GGGCACTTCTAACTGG
group.by:Ductal
color:Ductal\",\"Cell:TTCTCAACAGTTTACG
group.by:Ductal
color:Ductal\",\"Cell:GGAATAACACGACGAA
group.by:Ductal
color:Ductal\",\"Cell:CGTTAGAAGTATCTCG
group.by:Ductal
color:Ductal\",\"Cell:CCTATTACAAACGTGG
group.by:Ductal
color:Ductal\",\"Cell:AGATTGCAGCTAGTCT
group.by:Ductal
color:Ductal\",\"Cell:ATTGGTGGTACTTGAC
group.by:Ductal
color:Ductal\",\"Cell:CTCAGAATCTGGCGAC
group.by:Ductal
color:Ductal\",\"Cell:CAGCCGAAGTGACTCT
group.by:Ductal
color:Ductal\",\"Cell:GAATGAATCTGGTATG
group.by:Ductal
color:Ductal\",\"Cell:CATGCCTAGCGATGAC
group.by:Ductal
color:Ductal\",\"Cell:CTCAGAATCAACACTG
group.by:Ductal
color:Ductal\",\"Cell:AGAGCGAAGTAGATGT
group.by:Ductal
color:Ductal\",\"Cell:CTAGCCTGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:AACTGGTTCGTGACAT
group.by:Ductal
color:Ductal\",\"Cell:ACTGAGTGTTTCGCTC
group.by:Ductal
color:Ductal\",\"Cell:AGAGCGATCTCTTGAT
group.by:Ductal
color:Ductal\",\"Cell:GAAGCAGTCAAGGCTT
group.by:Ductal
color:Ductal\",\"Cell:CACACTCAGGCGCTCT
group.by:Ductal
color:Ductal\",\"Cell:TTTATGCTCCATTCTA
group.by:Ductal
color:Ductal\",\"Cell:GACGTGCTCCTCTAGC
group.by:Ductal
color:Ductal\",\"Cell:TTAACTCCAAAGAATC
group.by:Ductal
color:Ductal\",\"Cell:CGTGTAATCCATGCTC
group.by:Ductal
color:Ductal\",\"Cell:CTCGTACGTTCCGTCT
group.by:Ductal
color:Ductal\",\"Cell:CACACAACACACTGCG
group.by:Ductal
color:Ductal\",\"Cell:CATCCACTCTTCTGGC
group.by:Ductal
color:Ductal\",\"Cell:CTCGTACCAATGGATA
group.by:Ductal
color:Ductal\",\"Cell:TGTGGTACAAGACGTG
group.by:Ductal
color:Ductal\",\"Cell:AATCGGTCATGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:TCTGAGATCGTAGGTT
group.by:Ductal
color:Ductal\",\"Cell:CCTAGCTCAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:CTGATAGTCGGCTACG
group.by:Ductal
color:Ductal\",\"Cell:CGAGCACGTCCATCCT
group.by:Ductal
color:Ductal\",\"Cell:TGCTGCTGTCCGTCAG
group.by:Ductal
color:Ductal\",\"Cell:TATCAGGGTCGAATCT
group.by:Ductal
color:Ductal\",\"Cell:CGTCACTCAAAGGTGC
group.by:Ductal
color:Ductal\",\"Cell:CGTGTCTTCCTTTCGG
group.by:Ductal
color:Ductal\",\"Cell:CATCAGAGTCCGAATT
group.by:Ductal
color:Ductal\",\"Cell:GCGCCAATCGGACAAG
group.by:Ductal
color:Ductal\",\"Cell:ATTGGACAGTCAAGGC
group.by:Ductal
color:Ductal\",\"Cell:TCTGGAATCGGTGTCG
group.by:Ductal
color:Ductal\",\"Cell:GACGTTAAGACGCAAC
group.by:Ductal
color:Ductal\",\"Cell:CCACGGAGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:CCATTCGCATGAAGTA
group.by:Ductal
color:Ductal\",\"Cell:GCGCAGTCACCATCCT
group.by:Ductal
color:Ductal\",\"Cell:TAGTTGGGTACCGTAT
group.by:Ductal
color:Ductal\",\"Cell:GGAAAGCTCTCGGACG
group.by:Ductal
color:Ductal\",\"Cell:GTGTGCGTCTCTGAGA
group.by:Ductal
color:Ductal\",\"Cell:ACGTCAACACGGTGTC
group.by:Ductal
color:Ductal\",\"Cell:TGTATTCCAATGACCT
group.by:Ductal
color:Ductal\",\"Cell:GATCGTAGTCCTAGCG
group.by:Ductal
color:Ductal\",\"Cell:AACTGGTGTACAGTGG
group.by:Ductal
color:Ductal\",\"Cell:TAAACCGAGTCGTACT
group.by:Ductal
color:Ductal\",\"Cell:CGTAGGCTCGCGCCAA
group.by:Ductal
color:Ductal\",\"Cell:ATTCTACTCAGGTAAA
group.by:Ductal
color:Ductal\",\"Cell:CTGATCCCAAGCGTAG
group.by:Ductal
color:Ductal\",\"Cell:AGCCTAAAGCCCAACC
group.by:Ductal
color:Ductal\",\"Cell:CAACCAATCGGGAGTA
group.by:Ductal
color:Ductal\",\"Cell:TGTCCCATCTTGACGA
group.by:Ductal
color:Ductal\",\"Cell:ATAAGAGTCCGAACGC
group.by:Ductal
color:Ductal\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":\"rgba(166,206,227,1)\",\"size\":1.5,\"line\":{\"color\":\"rgba(166,206,227,1)\"}},\"showlegend\":true,\"visible\":true,\"name\":\"Ductal\",\"textfont\":{\"color\":\"rgba(166,206,227,1)\"},\"error_y\":{\"color\":\"rgba(166,206,227,1)\"},\"error_x\":{\"color\":\"rgba(166,206,227,1)\"},\"line\":{\"color\":\"rgba(166,206,227,1)\"},\"frame\":null},{\"x\":[-5.3666280442513523,-5.1829670602120457,-5.3985317879952488,-5.9616588288582859,-4.206093185547739,-4.7807520562447605,-5.0173948937691746,-5.2147434884347019,-5.32397305310145,-6.37182461560145,-5.3119543725289402,-6.477021091584116,-5.1964877778328953,-5.8063710862435398,-5.8526018792428074,-4.8945668870247898,-5.5241459542550144,-5.7354863816536961,-5.8222106629647312,-5.458196514252573,-5.9495462113656101,-4.5778638058938084,-5.8642514878548679,-5.1970995599068699,-5.5565107995308933,-6.1315530473031101,-5.4468868905343113,-6.110382907990366,-5.6430138284005222,-5.2171081239022312,-5.2775639230050144,-5.9344409638680515,-5.1835802727974949,-5.066432827118784,-4.7719811135567722,-5.7158354455269871,-4.9079335862435398,-5.9147142106331883,-5.1179498368538914,-5.939667575959116,-5.761318081025034,-4.6927961045540867,-6.1529258424080906,-5.9280646973885593,-5.4941357308663425,-5.9965819054879246,-5.9584807091988621,-6.2223313981331883,-6.1973417931832371,-5.936590068940073,-5.3260720902718601,-5.6700743371285496,-5.7990935975350437,-5.689214580658823,-5.3465093308724461,-5.9925941163338718,-5.4850720101632175,-4.8173636132515965,-5.7200759583748875,-5.3801878625191746,-5.6688474351204929,-5.2021268540658054,-5.7185310059823093,-5.2154592210091648,-5.8190969163216648,-5.8522084885872898,-5.8279870682992039,-5.1990946465767918,-6.1945279771126804,-5.7646449738778172,-4.742568605545908,-5.3095802003182468,-5.8058999711312351,-5.7662848168648777,-4.6041163140572605,-5.4807642632760105,-5.920357101563364,-6.493007534150034,-4.990298622254282,-5.1815284425057468,-6.0575002366341648],\"y\":[-1.3609242161158472,-3.361192556226626,0.68722930351458489,-1.5227970202807337,3.2370296994801611,2.4415027181264013,1.9006220380421728,-3.5910142382029444,1.0953157226201147,0.34391608635149895,-3.3848780115488917,-0.27822473844327034,1.7524751702900976,-0.79395885964669288,-0.078191729390993725,2.1802228967305273,0.075537113344296802,0.93267014423571526,-1.6452137549761683,-0.62760734757222236,0.66038360992632805,2.724437622224912,-1.854727359617129,-2.6569406708125025,0.29429247776232659,-0.31161385973729194,1.0362267772313207,0.15898248354159294,1.3160141984578222,-3.3243452032450587,1.7180282155629247,-1.4715509136561304,-3.2999371012095362,1.7567495385762304,2.3767744580861181,-2.1765366514567286,2.1503387967702001,-0.25588000019825996,1.5315343419667333,-0.26172504028119148,-0.017684849107638012,2.5411118547078222,0.1392575780507177,-1.5013940056208521,0.97515573898516594,-0.32605084975995124,0.82027926841937004,0.48376431862078606,0.0086186210270970953,1.0017936507817358,-2.3959475477579981,-2.1494072397593409,-1.5018984397295863,0.4845412055607885,0.82663360038958489,-0.55044420262612404,1.6344713250752538,2.3286994973774999,1.3997396508809179,1.3177145997639745,0.89430573383532463,-3.387439819181338,1.4095458070393652,-3.2321222742442042,1.1436475793477148,-1.7195602377299219,-0.61843190541304649,-3.3262511213663966,0.69464531341753899,1.2206509391423315,2.4513479749318212,0.31395700374804436,-1.8524055202845484,-2.099086376035586,2.6894771138783544,1.6846672574635595,-1.6100386103037745,0.001632181799039234,1.986632732545957,0.97853210369311272,-1.0947847386244685],\"z\":[2.9518279677191748,1.3017032986441628,-1.9399180764397606,3.6978158598700537,-2.1789520138939844,-2.265229021950625,-2.2787847871026026,1.3253179436484352,-2.2135410660943018,-0.93923786823358379,1.0894958620825783,-1.4219024533471092,-2.0867083424767481,-1.5206691378792747,-0.75032225792016827,-2.3108218068322168,-0.67585364524926983,-1.3561985844811424,3.8996264582434668,-0.64909449760522686,-1.76178578083124,-2.2377672547539698,3.5967497473517431,-0.30704352800454943,-1.7225137109002098,-1.3853454941948875,-2.1559827679833399,-0.86793092434015118,-1.3924358243187889,1.4042644148627297,-1.821381842537783,3.5530161505499853,0.98550584371481098,-2.3419442528923975,-2.1788525933464991,3.2558207159796728,-2.2525081986626612,0.53705961461458362,-2.2550762051781641,-1.9782958382805809,0.091932917193509656,-2.1630576008995996,0.074111575440503674,3.7152385359564795,-2.1676068658074366,0.53535660560522236,-1.2108956927498802,-0.54538110439386212,-1.3287616128167137,-1.5036745423516258,-0.37801322881784288,3.1907698756018652,3.613076413230039,-2.3255999440392481,-2.1386235112389551,-1.9102948064049705,-1.6672747487267479,-2.2741632813652979,-1.2433543557366356,-1.8756244534691795,-1.6513920182427391,1.3640479093352333,-1.6264961117943748,1.6988180523673073,-1.7870245331963523,3.5120024328986181,-1.7200847024163231,1.2466590052405373,-0.77255121414270245,-1.1383841389855369,-2.2288358563622461,-1.8078728074273094,3.7306248789587988,3.3254556303778662,-2.2689855450829493,-1.5432904118737205,3.6391958838263525,-0.025705700560472888,-2.3450262898644434,-2.0848410481652246,3.0285789614478125],\"text\":[\"Cell:GATGAAAAGTTGTAGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTCGTACAGAGGTTAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCTGCTTTCCTCGCAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGGTCTGGTAAACCTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGACAGAAGTGGAGAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTAATGGAGCCGGTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGAACATCAAGCGAGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCACGGACAGATGAGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TTCTACAAGATCGATA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCGCGATTCGCGTAGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGCGCAGTCTGCCAGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAGAATCGTGTAAGTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGACTTTAGGTCATCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AAAGATGAGTGAACAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGGCCACAGCTGTCTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AACTCAGAGAGCTGCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCTGCTTTCTGGTGTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGTAGTCCACATGACT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGTTCCGGTCAGCTAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCACATAAGCAATATG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGTGGTACAGTCGATT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTCAGGAGTCATCCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTTCGGGAGTCACGCC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCTCTGATCATGTCTT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCACATATCACGGTTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TACGGATAGTTTAGGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTCAGAATCAGGTTCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AAGGCAGTCCGAGCCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGCGACTCACCAGGTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCTTCGATCAAGAAGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGCTGGACACGGTAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAGTAACCATGCCTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTTAACTGTCGGGTCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCTACACAGATCCGAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCACTCTTCCGGCACA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAAGGCCTCGTACCGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGGCACTTCACGAAGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ACTGATGTCCCTAACC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GATCAGTTCGGCGCAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TAAGCGTAGATCGATA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TATGCCCTCTTCCTTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCTTCGATCCTGCTTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCTGGGTCACGAGGTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AACACGTTCCGCGCAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCTTTCCTCGTCTGCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GAGGTGAGTCCGAGTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGTCCCAAGTTTAGGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGGGAGTCACCGAATT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGCGTGGAGGTAAACT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGAGTGGGTCACCTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GACCAATAGCCGGTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCGGGATGTACCGCTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CATATGGTCAACACAC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGTGGGAGTGGTCCGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AACTTTCGTGACCAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGCTACCCAGGGCATA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGAACTTAGGTTACCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TTAGGACGTTCAGTAC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTTTGCGAGGAATGGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTCACTCATAGTAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTACTCCCACGTCTCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGCTCCTAGTACACCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCTGAGATCTGAGTGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGATTGCTCCATGAGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCTTACGCAAGGTGTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTCGTCATCTTCTGGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TTCTACAGTGTTGAGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ACTGCTCAGATATGCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ACATGGTCAAGGACTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGCGTGTGTCCGACGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCTGAGATCTTGCAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGACTAGCAAAGGTGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCTCATACAGATCTGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TATGCCCTCTTACCTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TTGTAGGGTTGTTTGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGGAATGGTCGGCTCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTATTCTAGGTGCTTT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGGCCGTAGAGGACGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCACGAATCCTATGTT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCACTACAGAGTACCG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ATGGGAGTCGGTTCGG
group.by:Ngn3 low EP
color:Ngn3 low EP\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":\"rgba(31,120,180,1)\",\"size\":1.5,\"line\":{\"color\":\"rgba(31,120,180,1)\"}},\"showlegend\":true,\"visible\":true,\"name\":\"Ngn3 low EP\",\"textfont\":{\"color\":\"rgba(31,120,180,1)\"},\"error_y\":{\"color\":\"rgba(31,120,180,1)\"},\"error_x\":{\"color\":\"rgba(31,120,180,1)\"},\"line\":{\"color\":\"rgba(31,120,180,1)\"},\"frame\":null},{\"x\":[2.2261005705557766,2.1073290175162258,2.9162017172537746,1.5391832655631006,0.99059940039739014,-2.0335786277092991,0.38131273448094727,3.030913478728384,-2.6897437506951389,-2.6104623013772068,-0.54905425846949218,1.6613651579581201,-1.8538612061776221,-0.83209495336189865,2.0549773043356838,0.098260707255452884,-2.8081093961037693,1.0950797861777246,2.9624165362082424,-4.4374476605691013,-1.624504380825907,-4.3515030080117283,2.5913709467612209,-4.4706221753396092,2.4976972407065334,-1.3357294732369482,-5.9334925347603855,-2.4768989020623264,-1.037919633988291,2.3759418791495266,2.7511712378226223,1.5081285303793848,-0.72175849691405891,0.64330697714909912,-3.0602270299233494,-1.4495434695519507,2.8299533194266262,-4.2111350232399998,0.23066902815923096,1.9107128447256982,0.70927036463841797,-5.8193434411324558,-1.0728792184628546,-3.1521202260293064,-2.0283108884133396,3.2670952147208157,-5.9730290108956394,2.1166299647055569,-4.364221208695322,1.3716536825858057,3.0642060106955471,1.272380716200918,1.0198576515875757,0.31130755602940918,0.48062289416417481,-2.3665174180306492,-5.9691227608956394,-4.2681220704354343,1.7590841120444238,2.3529039686881008,-0.9730303221978247,-3.8963805371560154,1.8053032225333154,1.4098991221152246,1.1200755900107324,2.8175944155417385,-0.59149248242750763,-3.3063419991768894,-0.87759719878807663,-0.5074914628304541,-3.2771187955178318,1.9640537565909326,-0.085499518517404782,-4.0895787411965427,-0.86872646302357315,2.4695133036337795,-2.384531849030405,1.4761222666464746,-3.9497762852944431,-3.4777868920601902,0.21113300978764893,-1.4480543667115271,-3.8526743584908543,1.3883909052573145,3.1511603659354153,-3.804554575089365,3.0774141615591946,0.93153310477361084,1.4240881270132959,2.2761439150534573,0.052783197756856692,2.5774887865744533,-0.94558409691229461,0.027312404509633792,1.9600929087363184,-1.161150538329035,2.0367411440573635,-1.1332349711693823,-3.4096795254983006,-2.2627447778023777,0.045447177287191165,-4.5587662392891941,0.053109652396291507,-1.2834967309273779,-4.200078838471323,-3.4720481568612156,0.63916409670934082,-1.5372922354973853,-1.2227924102582037,-4.1958619290627537,-1.2761777573861182,2.6533113783560696,0.9623799389563501,-4.1175070935524998,-1.0130716794766486,-1.6983771258629858,-0.42723717630282043,3.1376510924063625,1.9586480921469629,0.26568508803471924,0.054381198283284915,-1.6567391091622412,-5.8124340707100925,1.3539816206656397,1.1747036045752466,2.9863430327139797,1.6804815596304834,-2.8448234730996189,-3.0699297124184666,-0.72990534544363617,1.5948706930838525,2.3977209395132961,-4.2920180493630467,1.7521566218100488,1.3041571444235742,3.0737329786978664,1.1023757523261011,1.7036799257956445,0.59107614218816162,2.3053306406699123,2.9427760904990139,1.3651951616965234,-2.5972028905190525,-2.0195505553521214,-3.0853332215584812,-1.1161883407868445,-1.4426591330803931,-0.39783977806940674,1.6526974505148828,1.1953849858008325,2.820102817412466,-2.4362351828850803,-2.8257852727212009,3.0882600611411037,0.37636244952306153,-0.12059801161661743,-4.0914295846261082,-4.4639335805214939,-2.6130442553795872,-3.0593122178353367,0.73053050696477295,-3.4760218793191013,1.3216131991110742,-4.2893997365273533,-4.0317429238595066,0.63557816207036377,-5.845271938446909,-2.9065550500191746],\"y\":[5.2746326009389009,5.4130541364308442,5.4319583455678071,6.2332655469533051,6.1666990796681489,5.3556334058400239,6.3171145002003755,5.2868897000905122,4.8468886891957368,4.9130069295521821,6.13976636329852,6.2563449422474946,5.4354602376576509,6.1034232656117524,5.5023647824879731,5.8229342977162446,4.7440544644948091,6.2671872655507173,5.0375486890431489,3.053478149568662,5.6170193235035981,3.2245275060292333,5.7760783712025727,2.9275032559987157,5.709130434190854,5.8569709340687837,-2.2853716333750635,5.0284039060231294,5.862429765855893,5.8193899671193208,5.4614092389699067,6.1978861371632661,6.0330149213429536,6.2791606465931977,4.5317422429677094,5.8063866178151216,5.2906090299244966,3.2060834447499365,6.0053149739857759,6.1403819600697602,5.9290868322011079,-2.4628283699396998,5.7512680570241059,4.4477821866627778,5.3866788426991548,4.6404534856434907,-2.0194360931757838,6.0664698163624848,3.1053611318226904,5.6490041295643891,5.1439806501027192,5.9288293401356782,6.3557030240651216,6.2044831792470063,6.2774120847340669,5.1079546491261567,-2.3111585100535303,3.1498731652852148,6.2456165830250825,5.6828376332875337,5.7339288274403657,3.6446587125416845,6.1587616483326997,6.3113709966298188,6.5101992169972505,5.3173429051991548,6.0811940709706391,4.2911726514454926,5.8067003766652192,6.1516915837880219,4.3087302724476899,6.1059791127797212,6.155241159593686,3.4106136838551611,5.7471791783925141,5.5046383420582856,5.0971418897267426,6.0172392408009614,3.5790030042286962,4.1195961515065278,6.0665365735646333,5.9222551862355317,3.6644283811207861,6.5097676793690766,5.1191674749013032,3.7342983762379736,5.1614891568776216,6.5140706578847016,6.2066051046010102,5.8738400022145356,6.3667241613026704,5.6343637982960786,5.7960950414296235,5.9886652509327973,5.5834752599354829,5.8752571622487153,5.6014906446095551,5.8410164395924653,4.2020098249074067,5.1850587407704438,6.1284867803212251,2.7336803952809423,6.1840998212452973,5.9258219281788911,3.3085028211232275,4.1155492345448579,6.0061265508290376,5.63598218361102,5.893799451982602,3.2949859181996435,5.6860047856923188,5.159546522295102,6.3522821942921723,3.3782621900197118,6.0290595571156587,5.5554124395009126,5.9120933095570649,5.0785557309743012,5.1376625577565278,6.1707736531849946,6.1084958593007173,5.6331044713612641,-2.0892197807673365,6.5054933110829438,6.4476925412770356,4.3693019429799165,6.2552506009694184,4.7233945409413423,4.447622923051938,6.0066849271412934,5.8363801519032563,5.3818947354909028,3.1574496308919042,6.1509872953053559,6.3953572789784516,4.580111650621518,6.4420615712758149,6.0136028806325044,5.9267965833302583,5.8210684339161958,5.3366757909413423,6.5767537633534516,4.927673963701352,5.3576818982716645,4.4954034368153657,5.8734637776967134,5.6830383817311372,6.1165787259694184,6.33929028907977,6.3083335439320649,5.3751651326771821,5.0579430142994966,4.7141295949574555,4.8203302899952973,6.2412511388417329,6.1266581098195161,3.4219328443165868,2.9060088674183935,4.8964935819264497,4.5343104879017915,6.2357431928273286,4.1006461660023774,6.3245631734486665,3.1740800420399755,3.4705716649647802,6.1151291410084809,-2.3007143457774073,4.6611811200734223],\"z\":[-0.44043216650094835,-0.5616598481377586,-0.31387249176111071,-1.2055859917839988,-1.3542396182259544,-2.1132080907067285,-1.6255686635216697,-0.24576518480386583,-2.0971832627495752,-2.1370454186638819,-1.8430841321190818,-1.1801981085976585,-1.9414627904137596,-1.8734398240288719,-0.61538109724130474,-1.3837494010170921,-2.0628683919152246,-1.2380369061669334,-0.04046544973459093,-2.2872708195885645,-1.9020243043145164,-2.3881311768731104,-0.55646727029886089,-2.29292706195917,-0.61775795166101299,-1.9200106019219383,3.3954834585944189,-1.9662084931572898,-1.9525401944359764,-0.7145071381768211,-0.39546743576135485,-1.191149269982241,-1.8639381283959373,-1.5883779877861961,-2.0808737630089746,-2.0323360318383203,-0.31565431301202623,-2.1747932786187159,-1.7282541150292381,-1.0145118588646873,-1.2757071608742698,3.0760864859381689,-1.9826200360497459,-2.2039041871270166,-1.9775553101738914,0.39048799331579359,3.4803926592627539,-0.93725935165490948,-2.2304728383263575,-0.9748978966912254,-0.12677953188028185,-1.2205983752449974,-1.5190250033577903,-1.6133187169274315,-1.6711378449639305,-1.9866021031579002,3.3351301794806494,-2.2626276368340479,-1.174794232293032,-0.67436913196649395,-2.0363965386589991,-2.3249888772210108,-1.0659122819146141,-1.3062185401162132,-1.5945712680062278,-0.27938840334024279,-1.7441013211449607,-2.164802586480044,-1.8035307282647117,-1.8367646092614158,-2.3312256688317285,-0.99145928566064678,-1.666209256096743,-2.2612905854424463,-1.8348224515160545,-0.4968474263390526,-2.07944730465021,-1.1020439023217186,-2.2726106995781885,-2.1356568688591944,-1.7008445615014061,-2.0458758229454981,-2.2152846211632715,-1.4801934117516502,-0.10410792176332323,-2.2278192395409571,-0.13142303173150865,-1.6909764165123924,-1.2234360331734642,-0.77642956916894756,-1.5766607875069603,-0.59248397295083843,-1.8778262490471824,-1.7005379552086815,-0.69823590461816631,-1.9868114346703514,-0.68850151245202862,-2.0254648083886133,-2.194324767037295,-2.0157058591088282,-1.6327367181023582,-2.2361541146477686,-1.6785416955193504,-2.1124124879082666,-2.3127229565819727,-2.2501683587273584,-1.3766488188942894,-2.0111916417321192,-2.1199062222680078,-2.290758168145083,-2.096262490197085,-0.27862081472482531,-1.4190649146279319,-2.3407025689324366,-1.8264146203240379,-1.9832051152428611,-1.8238900059899315,-0.027806436463259143,-0.41647366230096666,-1.6951468342980369,-1.6321361417016014,-2.0279355401238428,3.457516396597959,-1.4419619197091087,-1.5193666571816429,0.36929347710032018,-1.1791127080162986,-2.1008479947289453,-2.2355978841027246,-1.8953039998253807,-0.94540134613122784,-0.45946708862390367,-2.2672367448052393,-1.0933958644112571,-1.4476848000725731,0.26201189513597639,-1.4810302609642967,-0.99898735229577862,-1.5146830434044822,-0.72990480606164776,-0.27807972375955431,-1.5701052302559837,-2.0571282262047754,-2.0708632821282373,-2.1535916680535303,-1.8206553811272606,-2.0084650868615137,-1.80182484333124,-1.2646129483422264,-1.4033933037957176,-0.47724065725412218,-2.0032043809136377,-2.0061273926934229,0.086906844929792004,-1.5733874196251854,-1.7488398904046043,-2.2866111153801905,-2.2330105656823145,-2.0383117551049219,-2.1218195313652979,-1.4674115533074363,-2.2123680466851221,-1.3827655667504295,-2.3801901692589746,-2.2359147423943506,-1.4216475838860496,3.2512380724707617,-1.9708857888421043],\"text\":[\"Cell:GCTCTGTAGCGTGAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCGTGGACACGAAGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GAACATCAGCAATATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCACACGTCACACGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGACAGATCAGCATGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTGGGTGTCTAGAGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTTGGCTCAGCCACCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTACGTACATCGATGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACATCAGTCCTTGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCGGTCGTCGAATCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTAGTGACATTGAGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGGAGGTTGGACCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTGTAATCATTATCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGATCACAACCGCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTAGTCAGTCCGACGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGAATGTCGACCAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCACAAGCACCGAAAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCGGGACGTCATCGGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGCCAGAGGAACTGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATTATCCAGACCCACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTGAAACTCGATAGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCCTCCTAGACCCACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AAGACCTAGTAGGCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACACCTGTCGCTTTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCTTAGTCGCAGGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATGCCTAGTGGTAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AAACGGGGTGAAATCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTTACTCAATACGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGGTTAAGTCTAGCCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGTTGGTGTCGCATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTGCTCGTCCTAGCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCTCATAAGCAGATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCAGCCCAAGTCATC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTTACTGTTTGGGCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AACTTTCCACAGTCGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATGCCTTCGCACTCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCAGCCGTCGCATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATGCGATGTTACTGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCTGGTTCCCAGGTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TATTACCGTTGAGTTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCTCTGACATCGGTTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGGGAGTAGGGTATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGAGCTTTCTTGAGGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGAGCATGTTAAAGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCGCAGTCTCTTATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AACACGTTCGGAATCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTGATGGTCGACTGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTGCTGTGTTGTGGCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACCACTTCAGCTTAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCGGGTTCCAGGGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGGGATGTCGCATGGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCATGCGCAAATTGCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTAGTTCCATGAGCGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCTTGATCAACACGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGCAGCAGAGGTACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCCAAACATGACATC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGAGCGACACAACTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCCTCTAAGTCCGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GACAGAGCAGTCAGAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AATCGGTGTCACACGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCCGATTCAGAGACG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGTCTTTTCGTACGGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCCCAGAGGATTCGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCAATTCATCTCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACCAGTAGTCATGCCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AACACGTGTGACTCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGACCTAGCTGCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AATCGGTCAAACAACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGGAGCTGTACATCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATGGCGAGAGTCTGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTACACCCAGGGCATA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGGGAGTGTGTAAGTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATCTAGCATCACCCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTGCGACAATCGGTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCTTAGTCGGCGCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TAAACCGAGGATGGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTTAAGCTCCGCATAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTCAGGCAATCTGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGGACGCGTATTCGTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGTAGTCAGCGTTCCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGAGCCCACCTTGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATGCTACAAGCGCTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTTAGATCAGTCAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAACCTCAGCGTGAAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCGTGTCACCAGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCGGTCAGGTCGGAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TAAGCGTCAATGCCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACAGCCGCATCGTCGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AAGGCAGCAGTACACT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACATTTGTATAGTAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCTCTAAGTGGCAAAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTTCTGTCACAATGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGCCGAGTAGCCTAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TACGGATTCCAAGTAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCTACACCATTATCTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTGAAACTCTGTTTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCATGTCTCCGCATAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCAGCCGTCGAACAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGCACTCAATGAAAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AACACGTGTCGGCTCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GACACGCAGTATGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGGGTCCATGATCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATCAGTTCCCGGATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCTCAAAGTACGCGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGAGGTCTGTTGAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTAACTCCACGAGAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AATCGGTCATATGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCATACCAATGCCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTACTTTCATGGTCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAGCAAAGCGATGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TATCAGGCACCAGTTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCTACCCATAAGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGGTCATTCTGCGTAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGTCCCACACGGTAGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATCAGTAGGTTCCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATGTGTGTCAAAGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTAAGACTCACTCCTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACACCTCATTGTGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTAGGCAGTGTGAATA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTGCAGCATTCTCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCATGTCGTTTGCATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGGTCCGAGTTACCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGCTATCCAGGCAGTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGTTGGTTCACATAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATGCTAAGCGATAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATTATCCCAACTGCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AAATGCCCACCAACCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCTAATTCAGCGACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTTAGGACATCTATGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATCTACTGTGAACCTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGCTAAGTACCGAGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GAATGAAAGAATGTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCGGTCGTACCGAGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCCGATGTCAAACTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AAGACCTAGGTGTGGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAGGTACACGGCCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTGATGCATCAGTAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTTCTGAGAGCAATT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCTCTAATCAAAGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACACCCTGTCAGATAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TACACGAGTGCAACTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTGCGAAGTATTGGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGACGTTTCGAGCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGGCCGTCACGACGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGAGGAGTGGAGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGGAGAGAATGTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGCGACCATATGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TAGTTGGAGTCAAGCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGTGGGATCAACTCTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGACTTCGTTGATTCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATCAGTGTAACGACG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGCTAAAGCGCTTAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGCCAGTCCGCTGTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCGGGTAGACGCACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATGAGGGGTTCTGGTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGACCTTAGCTGCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTAACGTGTGCCTGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTCTGTAGCTGAACG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTGCTGTGTTATCACG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGATGTTCTGCTGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCGCAACCAACACCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCGTATCATCTCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AATCGGTTCCAAACTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCTCATAGTTACCAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCAATTTCCGAATGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGAAAGTAAAGTCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATAACGCAGCGTGAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCACATACATTACGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":\"rgba(178,223,138,1)\",\"size\":1.5,\"line\":{\"color\":\"rgba(178,223,138,1)\"}},\"showlegend\":true,\"visible\":true,\"name\":\"Ngn3 high EP\",\"textfont\":{\"color\":\"rgba(178,223,138,1)\"},\"error_y\":{\"color\":\"rgba(178,223,138,1)\"},\"error_x\":{\"color\":\"rgba(178,223,138,1)\"},\"line\":{\"color\":\"rgba(178,223,138,1)\"},\"frame\":null},{\"x\":[3.4359456366263332,4.2351423567496242,3.9708577460013332,3.6219369238577785,4.3770376509390774,4.0545412367545071,3.847624904509634,3.9018045729361477,4.1920338934622707,3.6923328703604641,4.3668023413382473,3.7928448981009426,4.0713917082510891,4.8751646345816555,4.1085463827811184,4.2631312674246731,4.57820618807897,3.4961906737051907,2.6465786761008205,4.0995417898856106,3.8413716620169582,2.2736622160635891,3.70802796542272,3.6548677748404446,3.8021856611929836,3.2827888792715969,4.3123055762015285,3.8091121977530422,3.6057592695914211,4.1241923636160793,2.8195403879843655,3.9710031813345852,4.3865267103873196,3.3374468153677883,3.2570606535635891,2.435252553816885,4.7850753134451809,2.9682651823721828,4.8723198240958157,2.3492690390311184,4.6895667380057278,4.2933746641837063,2.7530199354849758,3.6474958723746242,4.5781961744986477,4.4323755568228664,4.5063401526175442,3.5970946615897121,2.1566151446066799,3.7745324438773098,3.1083837813101711,3.4612490004263821,4.1436320608817043,4.5250836676321926,4.2586289709769192,3.5297552412711086,3.5055633848868313,3.8859354323111477,4.1719976729117336,4.5524135893546047,4.4845186537466946,4.2014442747794094,4.2126609152518215,4.3654242819510403,3.8542548483572903,3.9814606970511379,3.5537105864249172,3.8697253531180325,3.1247845953665676,4.3466187781058254,4.229857570525259,3.4561802214346828,4.840610629912466,4.2293235129080715,3.6268993681631985,3.7046052283011379,4.7917453116141262,3.8458415335379543,4.1579734152518215,4.6595903700552883,4.0381800001822414,4.6404048269949856,3.2200423544608059,4.5811253851614895,4.7884126967154446,4.401481277342886,4.4116336172781887,4.755299693938345,3.0617722338400783,3.975620395537466,4.3192216223441067,3.5511461561881008,4.6648203200064602,4.2700878447256985,2.4781998461447658,3.3287721937857571,4.0853062933646145,4.2413960760794582,3.7916637724600735,3.8577367132864895,3.9003025358878078,3.5305005377493801,3.975402004119009,3.9099475210867825,4.2384554213248196,3.2572733229361477,4.3663502997122707,3.1994730299673977,3.6767584150992336,4.8140150374136867,3.7020202940665188,3.9530860251151028,2.9427110022269192,4.6808501547537746,4.4028011625967922,4.4463373488150539,3.7730208700858059,4.4432860678397121,3.9047581022940578,4.7213956183157864,3.4439202612601223,4.6877924269400539,3.5073601072989407,3.8831917113028469,4.4032703703604641,3.6822696989737453,4.0674892729483547,4.1557580298148098,3.1759957140646877,4.5106087988577785,1.4348169630728662,4.1812874144278469,4.4462629622183742,3.1076239412985744,4.2609082525931301,3.3300324743948879,4.3253170317374172,3.4876762694083157,3.2579966849051418,2.067372447844595,4.6016327208243313,4.5009285277090969,3.7997213667593899,3.4761420553885403,3.1113175219260158,3.7827926939688625,3.7698017424307766,3.6942468947134914,4.6226311987601223,4.2988306349478664],\"y\":[4.5609880963917817,0.50371637741290032,2.8119253198262304,4.1861511746998872,0.84017362991534172,0.15182634988985955,2.8192738572712988,0.27459999719820916,0.21939983764849602,4.0774675885792817,1.6697985211964697,-0.10385725101269783,-0.1988587697390467,0.34204461971484124,2.5575565377827734,2.1375414411183447,0.85956921974383294,1.8917509595509618,3.767842916643247,2.1979185620900243,3.1931356469746679,4.6984931508656587,3.5393640081044286,1.3428472558613866,2.1670099774952978,4.2852317372914399,-0.45325485070981086,3.6995402852650732,3.7294951955433935,2.7750836888905615,3.9751702825184911,0.4742647687550634,0.72149756351672112,3.9998981038685888,3.9596087018605322,5.7198440114613618,-0.28739908536709846,3.2717842141743749,0.3640733043309301,4.7507134954091157,0.73337867656908928,2.081605819856748,3.7827760259266943,3.7065235654469579,1.4162239114399999,1.5153717080708593,1.6229487935658544,0.36135938564501702,5.0215751210805024,-1.1420734246615321,4.5590206662770356,3.5825807134266943,0.62264111438952385,1.2441510240193456,0.86365702549181878,3.1487597505208105,4.585175184404477,2.0458225289937109,1.9949585477467626,0.010975567495450367,-0.56223127445019783,0.02344634929858147,2.5385943929310888,1.6987279931660741,-1.3026901801470667,-1.002995671832934,0.19480547109805046,-1.5247779806498438,3.8057982007618993,1.8951307813283056,0.38730898300372063,3.9369875470753759,-0.15717074474133552,2.8287989179249853,0.73227992454729973,2.5828756372090429,0.50336995521746575,2.3629836122151464,2.4005526582356542,0.51691594520770012,-1.3538924773577601,0.19344046512804924,4.1527763883229341,-0.056277902925387036,-0.1896642764452845,1.5446392575856298,0.22592374483309685,-0.27326551278866829,4.9236470739003266,2.61355319420062,0.14958980480395256,0.086386946832761158,1.0987122336979955,0.34952881733141838,4.2672535459157075,4.3861509839650239,2.8075331727620214,0.50713565746508538,-0.50202726026810707,0.29471722046099602,3.2478906194325536,4.2867161313649262,3.5210286656972021,3.3192664662953466,0.70587757030688225,4.7605287114735688,1.2189218083973974,4.0836221257802094,3.0255440751668066,-0.095709474885836254,3.6926156560536474,3.3101173917409032,3.8065759221669286,0.62841287056170403,-1.8541104515437037,0.92590418258868157,3.815107492601499,1.2596484700795263,-0.8146330138090998,0.60548105636797844,4.515163091814145,-0.10162368615902961,2.0904172937031835,0.72523787418566643,2.2370673696156591,1.2412191907521337,2.9129666368123144,1.7064711133595556,4.272367624437436,0.87080135742388665,5.7142797986622895,-0.68009287318028511,1.5287803689595312,4.1398221532460298,2.3950490037556738,4.3881346265431489,2.1587850133534521,-0.22585761746205391,0.31341960827074944,4.9637571851368989,1.6926080266591161,0.85934927860461174,3.7592670003529638,2.2952796498890966,4.1018168012257661,3.4780861417409032,3.6925312558766454,2.8941611329670995,0.78922310272417961,1.0312146226521581],\"z\":[0.304718563512899,0.64212461765203632,0.90162458475027241,0.53898705001268543,0.8171541338721291,0.90080531890783466,1.0056945925513283,1.1263341551581398,0.76457359846029438,0.59330972488317646,1.3236580735007302,2.070060694769956,0.54968904908094562,0.87805118616018452,1.1078978424826638,0.92488339002523579,0.91635533626470722,1.2781826501647011,0.46906028892192991,1.1687112694540993,0.89649810846243061,-0.089318996115587634,0.84418412502203144,1.4481854086676613,1.1002716666022316,0.51729873772058643,0.053315753296948987,0.78582485969457783,0.86647834833059467,1.0202697759428994,0.47894205357227476,1.5054069405356423,0.95347877796087421,0.71669798548612751,0.71361448820028461,-0.63729122821893536,1.0498764162817971,0.74070682580862202,1.1636628156462685,-0.078878974362276477,1.0581040626326577,1.1477326398650185,0.5173266773978249,0.72845580633077778,1.2826760655203835,1.2038882618704811,0.72548347170744099,1.6928121691504494,-0.30780450050439684,3.625844443396665,0.34684939514193686,0.84438320453558124,1.1257096772948281,1.1052656417647377,0.83087646420393146,0.9538275843420998,0.22020485456380995,1.2149381881514565,1.1280154829779641,0.9043699746886269,0.50072960014734424,0.80211066658888019,0.96546807344350971,1.1345819478789345,3.6591691618720068,2.6538922434607519,1.6922328120032326,0.32712042163405569,0.71589305456075825,1.0160376673499123,0.78435095603857197,0.6890948658743874,1.016341054991819,0.98261817748937763,1.5969053154746071,1.0060130005637185,0.99577304180059589,1.1097865944663063,1.0542903190413491,0.91778298671636738,0.69169294293317951,1.1021707301894204,0.62042188103590168,0.86326968129072346,0.70897960122022785,1.1404010897437111,0.70430269296560444,0.65383696015272297,0.038324529484845715,0.96169736440572895,0.58710421080980457,1.4361596947470681,1.1207342391768471,1.2783063894072548,0.19234318490419539,0.43814096058998259,1.0183514600554482,1.0044521933356301,2.3196100836554541,1.3633727675238625,0.85273441131506122,0.4339464550772682,0.61381466145906605,0.8688000386515633,1.4263145571509377,0.17524067516718062,0.9498038535872475,0.57061597164068378,0.98652752693090595,1.0880603438178078,0.72456821258459247,0.84601234848890461,0.62639995868597187,0.99976345355901874,1.2835021858969704,1.2228841429511086,0.67918309028539814,0.7745423858920113,2.6287481432715429,1.1270150786200539,0.32470682095084341,1.3079818731108681,1.2134255414763466,1.2605692392149941,1.1325286274710671,1.4199568873206154,0.94733711536321796,1.0536057596961037,0.47824824060592802,0.88447066600713886,-1.0324172133645042,-0.1337219232758507,1.0194046741286293,0.55220734532270588,0.92000427301321186,0.43237840588483961,0.99586179311666645,1.4584244137564675,1.845051730231382,-0.29265860263910143,1.1292436962882058,0.88943287189397968,0.69116958434972919,1.1443618779936806,0.56344146485719837,0.7448875253954903,0.73239692504797138,0.9550708180228249,1.0160740857878701,1.0070734267989174],\"text\":[\"Cell:AGTGTCATCGCCGTGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCGTGGGTCCCTTGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGAGTGTCTTCTCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TACAGTGTCCCTAACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCTCTCAGCGTGAGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGAGCACTCTAACTCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCGTAGATCTTTACGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCGTATTCTGCTGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGACAAGTCATAACCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACTACAAGCGTGTCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTATTCTTCACTTACT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAACGGGTCCGCGCAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCCTAGAGAGTGACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACGTTGTCAGTTAGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATTATCGTCATATCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCGCAACAGTGTACCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTTACTGGTTCGTTGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTAGTCAGTACTCAAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGAGAGGTACCGTTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATTATCTCTGAAAGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTACATTCACCGTTGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCATTTGCATTGGCGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGTAACGTCTGATCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATTTCTGAGAAGATTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCTAATTCACCATAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGCTTCACAGATCGGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGTGTCTCATACTCTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATATGGAGGCCCGTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCTAGCTCAGGTGCCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTGAAACTCAAACCAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTTCTCGGTTTGTGTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACTCTTCACTCGACG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGTCCCACGTAAGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGTCACTCAGTATAAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGCTCGAGTCGCTTCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAAGAAACACTAGTAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGTGAGGTCTGTTGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCCAAATGTAAACACA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGTAGCGAGACTGTAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTAACTGGTCACTGGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCTACGCACTAAGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCGGAGGTGAAGGCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAAGTTGTCTAACTGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTGTAGGTCCAAATGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCTCAGTAGCGTAATA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGTGAAGAGCAGGTCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATGTGTGAGTTTGCGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCCCTAGTATCGCAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGGGCTAGACTTGAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCGTACTGTCAGAAGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATCGATAGAAAGTGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCCATACTCGTGGACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGTGGTAAGAGGTTAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACTGGTGTCGAGTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGCTTGTCACTTCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATCATCTTCAGTCCCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGTGTCACACCAGGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTAATGGCATGGTTGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACACGTGTCGACTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTGAAGTTCTGCGGCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGATCGGAGCTGCAAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTGTAGGGTTACGGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAGCCGCGTTATCCGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAGTCTGGTCTCCATC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACTCTTAGCTAACAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACACGTAGTAATCCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GAGCAGAAGCCAGTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTGTGCTCAGCTCCGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTCTTCGAGCGTGAGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAACCAAAGCGTTCCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATCAGAAGTGGTAAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTATGCTTCCAGTATG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCGTGGAGGTTCCTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGATTGCCACAAGCCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATCAGATCATCGCTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCTTTCTTCTTCGAGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTGGAACGTCCGTTAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTGCAGCTCGTTTATC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGATTGAAGTTAGCGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGGTTAGCAGTCGTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGGTTGCTCCCAGGTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTCTCAATCACTCCTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGTCTTTGTCTAAACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCGCGAGTCGACGGAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGCTGGTCGCCGTGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTGTTAGAGTTTCCTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTTCTCTAGTACTTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGTTGGGGTTTAAGCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATGCGATAGAAACGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGACGGCGTCAGGACA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATCTGCCGTCATATGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGATCTGCACCAGGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATCGTACAGGCGATA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGTCTACTCAGTCCCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGCAGCGTCAACTGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATGCTATCCCTCTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTAACTCCACGCCAGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTAGGCAGTTAAGAAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTACTTTAGATATGCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTGGGTCGTAGGAGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GAACGGAAGACGCTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATCGTAAGTAGGTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCATGTATCACGATGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGCGTTTGTATTACCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGCTCAGGTGTTAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTCGAAGTCAACGCTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGGACGCAGATTACCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGGACGCTCTTGTTTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCCAAAAGCGCTTAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACAGCCGAGAGAACAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGACGTCGTCAGAAGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGGACGTAGACAGACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGAGTGGCACCTCGGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACCCACTTCTGAGGGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGATGTTCGCAGGCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGACAACTCGCACTCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGCTTAGATCTGCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGGACTGTCGGACAAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TATGCCCAGAACAATC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACCATGGTTGAACTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGCATAGTAATAGCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCACCTAGATAGTCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGCTGGGTCTAACGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTCGTAAAGGTGATTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTGGTCTTCGTTACAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAACCTCGTCTAAACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCCTCTAGTGACTACT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGGGTCAGATGGCGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGCGTGTTCGTGGGAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTCTGTAGCCACCTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGTGAGCTCACAGGCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCTCTCAGACATAAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATGACAGTCATGCAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCAGATGCACTCGACG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGAGCCGTCTCTGAGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TACTTACGTGTGGCTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTGCGGTCAAAGCAAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TAGAGCTAGTGCCATT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGCAGCCATTCTCAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGATGTCTAGAGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGAGTAGCTAGCCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCACTACAGAGCTGGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGTGTTTAGCAGGCTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACAGCTATCGAGCCCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCGCGTTTCTCTGCTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGACAAGTCCGCGGTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCCCTAAGTCCGGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGGAATGAGGAGCGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGAGCCAGTTCGCAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGTGGGACAGTATCTG
group.by:Pre-endocrine
color:Pre-endocrine\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":\"rgba(51,160,44,1)\",\"size\":1.5,\"line\":{\"color\":\"rgba(51,160,44,1)\"}},\"showlegend\":true,\"visible\":true,\"name\":\"Pre-endocrine\",\"textfont\":{\"color\":\"rgba(51,160,44,1)\"},\"error_y\":{\"color\":\"rgba(51,160,44,1)\"},\"error_x\":{\"color\":\"rgba(51,160,44,1)\"},\"line\":{\"color\":\"rgba(51,160,44,1)\"},\"frame\":null},{\"x\":[3.7621866530142727,2.4181076353751125,3.398643142577261,3.8295599287711086,2.0342673128806057,2.4987086123190823,2.9429088896475735,3.2023011511527004,2.6003462141714992,2.5475879973135891,3.3667727774344387,4.0187827414236965,2.1945270365439358,3.8722015684805813,2.2298027342520657,3.2212067908011379,3.3210197752676907,4.114228851195425,3.3578559225760403,2.2872663801871242,3.8686019247733059,3.7571336096487942,3.8851114577017727,2.3921674555502834,3.4526020353995266,3.217281944151968,3.3088890379630032,3.3083731001578274,3.2845560377798977,3.9772955244742336,3.296350604888052,3.0680788820944729,3.2716742819510403,2.4087811773978176,3.1360293692313137,3.5372740095816555,2.3448590105734768,3.1923199957571926,3.8279835051260891,2.2619544333182278,3.278535491820425,3.7191401785574856,2.9881712263785305,2.7096418207846584,3.9326931303702297,3.9642750090323391,3.6278320616446438,3.2712379759512844,2.9602612322531643,2.2454253500662746,2.3493365114890041,2.5634144610129299,4.1718541449271145,2.6442028349600735,3.6401864355765285,3.8260375326834621,3.2268775767050686,2.7996984785757961,3.729941970702261,4.0360781019888821,3.8146392172537746,2.9567765063010158,3.6438437765799465,3.4250918692313137,3.875729209776968,3.7280699080191555,3.2782713240347805,3.7497507399283352,3.5195432966910305,3.5934301680289211,2.7622026270590725,3.8044158285818996,3.3259717291556301,3.2842856711111965,3.8533784216605129,4.1074754065237942,3.8849631613455715,2.6016289061270657,3.0065325564108791,2.8601588076315823,2.3237930601798,4.1839581793509426,3.864562160369009,3.0862537687979641,3.3152538603506985,3.0060921972952785,2.4848958319388332,3.3920031851492825,3.1617196863852444,3.5681854551993313,3.6677147215567532,4.1724149054251614,3.472437030669302,2.6585174864493313,3.3906790083609524,3.9301687544547024,2.5719155138693752,3.4785252875052395,3.0144556826315823,2.3118149107657375,3.1880821055136623,2.8559435671530666,2.4791776007376614,2.2596844500266018,3.568332797881216,2.4490696257315578,2.8570469683371487,3.0393348997794094,3.2402073210440578,3.6316906279288235,3.3765975302420559,3.1702209776602688,3.2740551298819485,3.8447271650992336,3.6187459295950832,2.32739413439855,3.7456418341360989,3.3688551253043117,3.51955140292272,3.7243415182791653,2.3243960207663479,2.9078658884726467,2.0899595087729397,2.9057635134421291,3.7435547178946438,3.6384803122244778,3.0052238768301907,3.4275070494376125,3.9032551115714016,3.4018317526541653,3.8511496847830715,4.7364717787466946,2.2328699892722073,2.710779315825552,3.4951072996817532,3.1732744044028225,3.1907359427176418,3.2129169768057766,3.3282324141226711,3.5844150847159328,3.6263157194815578,3.7311569517813625,3.9812675780020657,2.9845653837881985,3.4935313528738918,3.7417784994803371,2.7569011515341701,4.1806789702139797,2.5360230272971096,3.3869148558340969,3.3270999258719387,3.0483075445853176,2.6535900896750393,3.3949061697684231,3.2922116583548489,2.3679226702414455,3.466514236327261,3.7150350874625149,2.9753459757529201,3.6715747183524075,2.7764593428336086,4.1185156172476711,2.7369030779562893,3.1518148249350491,3.1259836024008694,3.1491898363791408,3.4683419531546535,3.6988960570059719,4.2128936117850246,4.2010084456168117,3.3830891913138332,3.9067779844962063,2.5168422526083889,3.9831935232840481,3.8944641417227688,2.5652514761649075,3.6086574858389797],\"y\":[-1.4919820149783045,-1.9571644981745631,-2.0396699627283961,-3.4751935919169337,-2.1729515512827784,-2.3668752630595118,-2.4883317669276148,-1.8098151405695826,-1.9278317411784083,-2.0975117405299097,-1.8467319925669581,-1.251596780622378,-2.157822104299441,-1.0692414363268763,-1.9240455349329859,-1.6339909156206995,-1.7581078728083521,-1.8575770576838404,-1.7020700295809656,-2.229204030836001,-3.5964950044993311,-2.7376447637919337,-1.4376525600794703,-2.0364881475809962,-1.3709589560870081,-1.8686189373377711,-2.2824387272242457,-2.5310460050944239,-2.1088388880137354,-0.79763170530833305,-1.4897038062456995,-2.0615666826609522,-1.839825483167544,-2.2612950523737818,-2.2965886314753443,-1.8899432142619044,-1.9679584225062281,-2.1638055761698634,-1.2093105038050562,-2.2468459328059107,-1.5329989512804896,-1.9681979139689356,-2.3324273546580225,-2.1642199476603419,-2.4249170740488917,-1.7407974918726832,-2.2259094437006861,-1.7920636852625758,-1.9738279302958399,-1.9679617603663355,-2.1719521005991846,-2.0415210445765406,-0.38922444185055793,-2.287687393033877,-1.1840383132342249,-1.5632042010668665,-2.4469978531245142,-2.1936223228815943,-1.0237523933295161,-1.9902027567271143,-1.7697127779368311,-1.8375985344294459,-1.5935382564906031,-1.7216208895090968,-2.1834809502009302,-3.3768814524058253,-2.4847284277323634,-1.6008018573168665,-3.0228110273722559,-0.93845525583066047,-2.2699178179148585,-0.8309136574510485,-1.6082303841952235,-2.2054419239405543,-1.7407530268076807,-0.99471473892964424,-2.0636211355570704,-2.367948623502627,-1.582632096612826,-2.3592964132670313,-2.2031477411631495,-0.67533974921144546,-1.1334699412230402,-1.9919628818873316,-1.6391935070399195,-1.9409398754481226,-2.4444392641428858,-1.4317240436915308,-1.9907366951350123,-3.2294615229014307,-3.53181395133771,-1.6996605714205653,-3.1247032602671534,-2.085426183545962,-1.5759708603266627,-1.6945940574053675,-2.3305705507639796,-1.2722177823428065,-2.1448111256007105,-2.1053601225260645,-2.5852859934214503,-2.1020459850672633,-2.2779335697535426,-2.2577160318735987,-3.34799465736188,-2.1494937857035548,-2.0817610939387232,-1.8661416490916163,-1.8260016163233668,-2.8897417505625635,-1.8608510216120631,-1.7897350510004908,-2.0897912701014429,-2.7128883322123438,-3.5607670267466456,-2.3022573908213526,-1.7962529381159693,-2.1413491686228663,-0.82106331934966148,-1.225744934881106,-2.0825966318491846,-2.0013136585596949,-2.2594849785212427,-2.4243255575541407,-1.9548871239069849,-2.8337613066080958,-1.8718189915064722,-3.0737915953043848,-1.5176588614825159,-2.2236046512965113,-1.3247968276385218,-0.46185544332303108,-2.3060733993891627,-2.1491220911387354,-1.5088147242907435,-2.2488428076151759,-1.7824537475947291,-2.2426744421366602,-1.4334760030154139,-3.3568438013438135,-2.4426278789881617,-1.2338218410853297,-1.6460498293284327,-1.8912765701655299,-3.2408536394480616,-1.6100855191592127,-2.2150703390482813,-2.3358186205271632,-2.3687793930415064,-2.3304073532465845,-1.5694117864016444,-1.7597033699396998,-2.0698828419093043,-1.584379287565127,-1.6249425133112818,-2.2207362373713404,-1.4646193703059107,-1.3077832778338343,-1.9619347771052271,-1.2854562123659998,-2.1670902689341456,-1.1525176187399775,-2.3812174518946558,-1.7061382254008204,-1.8804079016093165,-2.3546580990199,-1.5766496380213648,-3.1263745745066553,-2.0799854715708643,-0.87494377990998329,-2.0003306587580592,-1.4531759341601282,-2.2370871027354151,-1.8131473978403956,-1.845871420705691,-2.3646841963175684,-1.660240681970492],\"z\":[-0.11627197806444017,-4.4422009343346582,-1.8901479596337303,0.53710638935957111,-4.4041054600914942,-4.1149027699669825,-3.1062190884789453,-2.2322132939537989,-3.3646304959496485,-4.3691227788170801,-0.46031162683572618,0.32114868070278318,-4.064512526436709,-0.74776128475274883,-3.9802940243920313,-2.0720038766106592,-0.65203252975549542,2.8522421961585058,-1.0633577460488304,-3.7735307568749414,0.60138397868070759,-0.051875984116457385,-0.086225038214586658,-4.4389136189660059,0.021782869652844983,-2.4634974354943262,-1.6111193055352195,-1.2857990616997703,-1.8620951527794822,-0.32135615293588488,-1.5736995095452293,-3.5662513131340967,-1.3430507535180076,-4.1679814213952051,-2.0094900483330713,-0.47995248977746813,-4.5793383473595606,-2.3771019334038721,-0.026652877970598621,-4.1024010533532129,-1.7098124379357322,-0.7162318581780418,-3.2276380414208399,-4.0884254330834375,0.3903947194973007,0.47066290880832823,-0.23120782320108263,-1.7653222436150535,-3.3801544064721094,-4.5782168263634668,-4.1809685582360254,-4.282156741066836,0.66199704463873066,-3.7606008404931055,-1.0677769536217674,-0.76174894516076885,-2.7273321503838526,-3.567005431099795,-0.79229167644586407,0.58494160528574146,0.15209474618826063,-3.9850170964440332,-0.17860732023324816,-0.40273997728433458,0.15176876838598402,0.055805141285993176,-1.7222819680413231,-0.60229984466638409,-0.59038505498971783,0.43357135187182577,-3.7645094746788965,-0.038051163597963733,-2.0130548829277979,-1.5762316340645774,0.37313892850000413,-0.19997534696664659,0.25911098177824171,-3.8196928853234278,-2.5635261887749659,-3.8914845341881739,-3.7873032445153223,-0.26055273954477159,-0.54610196296777569,-3.0372295731743799,-1.5385767573555931,-2.8063612336358057,-3.5016446465691553,-1.2706771249016746,-2.2016206139763819,-0.47989234869088976,0.068220908001996594,0.83226543124113239,-0.759559070511721,-3.9743526334008203,-0.90193072502221905,-0.17401996795739977,-4.1374972218712793,-0.55257776920404278,-3.3035679215630518,-4.1635878438195215,-2.2192685956200586,-3.7493899220665918,-3.3233628625115381,-4.3238962048729883,-0.34779039566125719,-4.0978777760704981,-4.0356600636681543,-2.7837984914025293,-2.0716970318993555,-0.1683719510277733,-1.7157409543236717,-2.3975520486077295,-2.1207371110161768,0.2165401970902458,-0.029214953823946399,-4.0652792805870996,-0.19649956171121447,-0.70852748100366436,0.39061276912037285,-0.55698255245294415,-4.1977947110375391,-3.9814703816613184,-4.2355239743432032,-3.340039288445376,-0.14701214973535387,-0.26648065988626329,-2.7126224393090235,-0.97862473671045147,-0.32925484125223009,-1.2759771699151023,-0.021791195317171497,1.2915099507132546,-4.3823464268883692,-3.7586329335412012,-1.5040309781273826,-2.5591385716637598,-2.0850282067498194,-2.057024037285708,-1.065495407029055,0.13675721939001234,-0.37930515949334948,-0.45669290964212267,0.40754000674281271,-3.0717862004479395,-0.66270211879815899,0.1166816001692787,-3.6352956647118555,0.94751032646093525,-3.5108058804711328,-1.6976774090966209,-1.3610468262871727,-2.3510797375878321,-3.4881890172204004,-0.610877429886721,-1.5956042165001854,-3.7950709218224512,-0.4825310463150963,-1.1418389434060081,-3.9941161030968653,-0.82482949440088116,-3.5396340245446192,0.044734383181668835,-3.2960760945519434,-1.9356620663842186,-2.3733580464562403,-2.5346234196862207,-1.3125818127831443,-0.012733524485491199,0.95320072229299702,0.21816810424719008,-0.63467577640619122,-0.38111028616037218,-4.1484949940880762,0.51448547299299396,0.3882182344729081,-3.5063732022484766,0.11523925717268141],\"text\":[\"Cell:CACAGTACATCCGTGG
group.by:Beta
color:Beta\",\"Cell:ACCGTAACAAGGTTCT
group.by:Beta
color:Beta\",\"Cell:CCACTACAGGTGGGTT
group.by:Beta
color:Beta\",\"Cell:CGTCTACAGATGCGAC
group.by:Beta
color:Beta\",\"Cell:CAAGGCCCAAGAAAGG
group.by:Beta
color:Beta\",\"Cell:CTCTGGTCAAGACACG
group.by:Beta
color:Beta\",\"Cell:TAAGTGCCAATAGCAA
group.by:Beta
color:Beta\",\"Cell:TGTCCCAGTCTCGTTC
group.by:Beta
color:Beta\",\"Cell:CGGACTGTCTTGAGAC
group.by:Beta
color:Beta\",\"Cell:GGTGCGTTCTGGTATG
group.by:Beta
color:Beta\",\"Cell:TACCTTATCCGATATG
group.by:Beta
color:Beta\",\"Cell:CCAGCGACAGGCTGAA
group.by:Beta
color:Beta\",\"Cell:GGCAATTGTAGAGCTG
group.by:Beta
color:Beta\",\"Cell:CGAATGTTCTTCATGT
group.by:Beta
color:Beta\",\"Cell:CCGTGGACATTCCTGC
group.by:Beta
color:Beta\",\"Cell:CGACTTCCACAACGTT
group.by:Beta
color:Beta\",\"Cell:GGGAGATAGCGAAGGG
group.by:Beta
color:Beta\",\"Cell:CGGACACTCTATCCTA
group.by:Beta
color:Beta\",\"Cell:CGGCTAGCATTCCTCG
group.by:Beta
color:Beta\",\"Cell:GTAGGCCGTTACCAGT
group.by:Beta
color:Beta\",\"Cell:TCTCATATCAGAGCTT
group.by:Beta
color:Beta\",\"Cell:GCTGGGTGTCATACTG
group.by:Beta
color:Beta\",\"Cell:TAAGTGCTCCAAATGC
group.by:Beta
color:Beta\",\"Cell:GCGCGATGTCCGAATT
group.by:Beta
color:Beta\",\"Cell:GGGATGAGTCTGCGGT
group.by:Beta
color:Beta\",\"Cell:GTCTCGTAGATCTGCT
group.by:Beta
color:Beta\",\"Cell:GTGCATATCAGAGACG
group.by:Beta
color:Beta\",\"Cell:CAGCGACAGATCACGG
group.by:Beta
color:Beta\",\"Cell:ACTATCTGTCAGGACA
group.by:Beta
color:Beta\",\"Cell:ATCCACCTCCTTTCTC
group.by:Beta
color:Beta\",\"Cell:GGACAGAAGGCCGAAT
group.by:Beta
color:Beta\",\"Cell:ACTATCTTCTGCTGTC
group.by:Beta
color:Beta\",\"Cell:CGTCCATGTCTAACGT
group.by:Beta
color:Beta\",\"Cell:CAGTAACCATACGCTA
group.by:Beta
color:Beta\",\"Cell:ATCACGATCAGGATCT
group.by:Beta
color:Beta\",\"Cell:TATTACCAGCTAGTCT
group.by:Beta
color:Beta\",\"Cell:GTGGGTCGTACTTCTT
group.by:Beta
color:Beta\",\"Cell:ACTTACTCACCGTTGG
group.by:Beta
color:Beta\",\"Cell:CGCCAAGTCTAAGCCA
group.by:Beta
color:Beta\",\"Cell:ACTATCTTCATGTAGC
group.by:Beta
color:Beta\",\"Cell:TATCTCACATTGTGCA
group.by:Beta
color:Beta\",\"Cell:ACGATGTGTCGCGGTT
group.by:Beta
color:Beta\",\"Cell:CAGAATCCACAAGCCC
group.by:Beta
color:Beta\",\"Cell:TTTCCTCAGTGTCCCG
group.by:Beta
color:Beta\",\"Cell:TAAGTGCTCGCCTGAG
group.by:Beta
color:Beta\",\"Cell:GGTGTTACATGTTGAC
group.by:Beta
color:Beta\",\"Cell:GGGAGATAGTGACATA
group.by:Beta
color:Beta\",\"Cell:TAAGAGACAGTAGAGC
group.by:Beta
color:Beta\",\"Cell:CACATTTTCGAGGTAG
group.by:Beta
color:Beta\",\"Cell:AGACGTTCAATGGTCT
group.by:Beta
color:Beta\",\"Cell:CAGTAACAGCCACCTG
group.by:Beta
color:Beta\",\"Cell:CATTCGCGTGCAGACA
group.by:Beta
color:Beta\",\"Cell:TCTATTGCAGTAAGCG
group.by:Beta
color:Beta\",\"Cell:GCATGTAAGAATCTCC
group.by:Beta
color:Beta\",\"Cell:GTTACAGTCTAGAGTC
group.by:Beta
color:Beta\",\"Cell:TTATGCTTCGTTTAGG
group.by:Beta
color:Beta\",\"Cell:CTCAGAATCTTGAGAC
group.by:Beta
color:Beta\",\"Cell:GCATGATCATGCATGT
group.by:Beta
color:Beta\",\"Cell:TACGGTATCCCATTTA
group.by:Beta
color:Beta\",\"Cell:CCTTCGAAGCTAGGCA
group.by:Beta
color:Beta\",\"Cell:CCCAGTTTCAGCACAT
group.by:Beta
color:Beta\",\"Cell:CTAAGACGTACTCTCC
group.by:Beta
color:Beta\",\"Cell:CTTTGCGGTCGAATCT
group.by:Beta
color:Beta\",\"Cell:TTTGGTTTCCTTTCGG
group.by:Beta
color:Beta\",\"Cell:GGGATGATCTGTCCGT
group.by:Beta
color:Beta\",\"Cell:GTGTGCGCAGCGATCC
group.by:Beta
color:Beta\",\"Cell:GGCTCGACAGCTATTG
group.by:Beta
color:Beta\",\"Cell:GACTGCGGTCGCCATG
group.by:Beta
color:Beta\",\"Cell:ACGAGGATCAATCTCT
group.by:Beta
color:Beta\",\"Cell:GTGCGGTAGTGAATTG
group.by:Beta
color:Beta\",\"Cell:TACTTGTAGACAAAGG
group.by:Beta
color:Beta\",\"Cell:GTCCTCACACCACGTG
group.by:Beta
color:Beta\",\"Cell:AGATTGCCATTCCTGC
group.by:Beta
color:Beta\",\"Cell:TACGGTATCTTTCCTC
group.by:Beta
color:Beta\",\"Cell:GTCACGGCATACTACG
group.by:Beta
color:Beta\",\"Cell:ATCACGAGTGCACCAC
group.by:Beta
color:Beta\",\"Cell:AGGGTGAAGGTGCAAC
group.by:Beta
color:Beta\",\"Cell:CGCTATCAGGTGATAT
group.by:Beta
color:Beta\",\"Cell:GTGTGCGGTAGTACCT
group.by:Beta
color:Beta\",\"Cell:GGCTCGACAGCTTCGG
group.by:Beta
color:Beta\",\"Cell:TGTGGTAGTTAGAACA
group.by:Beta
color:Beta\",\"Cell:GTACTCCGTAGCGATG
group.by:Beta
color:Beta\",\"Cell:TGGACGCAGCGTCTAT
group.by:Beta
color:Beta\",\"Cell:CTGAAGTTCTTTAGGG
group.by:Beta
color:Beta\",\"Cell:TGCGTGGTCTTTACGT
group.by:Beta
color:Beta\",\"Cell:CTTGGCTCATCCCACT
group.by:Beta
color:Beta\",\"Cell:GTTTCTATCAACGGCC
group.by:Beta
color:Beta\",\"Cell:GTTACAGTCTTGAGAC
group.by:Beta
color:Beta\",\"Cell:TGTGGTAAGTGGTCCC
group.by:Beta
color:Beta\",\"Cell:GATGAGGAGAAACCTA
group.by:Beta
color:Beta\",\"Cell:GAAATGATCTTCAACT
group.by:Beta
color:Beta\",\"Cell:CGACCTTCACACAGAG
group.by:Beta
color:Beta\",\"Cell:GCGCAGTGTACGCACC
group.by:Beta
color:Beta\",\"Cell:CACATAGTCATTGCGA
group.by:Beta
color:Beta\",\"Cell:CTGAAACGTAGCGCAA
group.by:Beta
color:Beta\",\"Cell:GAATGAATCATCGGAT
group.by:Beta
color:Beta\",\"Cell:AAATGCCAGACTAAGT
group.by:Beta
color:Beta\",\"Cell:AACTCTTCATTTGCCC
group.by:Beta
color:Beta\",\"Cell:GAATAAGCACGAAATA
group.by:Beta
color:Beta\",\"Cell:CGATGGCCAACTGGCC
group.by:Beta
color:Beta\",\"Cell:ACTGATGCACATGACT
group.by:Beta
color:Beta\",\"Cell:CATCCACGTTACGACT
group.by:Beta
color:Beta\",\"Cell:GTGCTTCTCACGACTA
group.by:Beta
color:Beta\",\"Cell:CTACACCCATCAGTCA
group.by:Beta
color:Beta\",\"Cell:TTATGCTCACTACAGT
group.by:Beta
color:Beta\",\"Cell:AAAGTAGGTCAGATAA
group.by:Beta
color:Beta\",\"Cell:CCCAGTTGTGCGCTTG
group.by:Beta
color:Beta\",\"Cell:ATTCTACGTTTAGGAA
group.by:Beta
color:Beta\",\"Cell:GTGCGGTTCTGATTCT
group.by:Beta
color:Beta\",\"Cell:TCTATTGGTCTAGCCG
group.by:Beta
color:Beta\",\"Cell:CGGCTAGAGGCACATG
group.by:Beta
color:Beta\",\"Cell:GTAACTGAGCCGGTAA
group.by:Beta
color:Beta\",\"Cell:CATCAAGGTGGTCTCG
group.by:Beta
color:Beta\",\"Cell:CCTTCGATCTCCAACC
group.by:Beta
color:Beta\",\"Cell:CGTGTAACATGGTCTA
group.by:Beta
color:Beta\",\"Cell:AAACGGGGTACAGTTC
group.by:Beta
color:Beta\",\"Cell:CAGGTGCGTACAAGTA
group.by:Beta
color:Beta\",\"Cell:CGGACTGCATCCCATC
group.by:Beta
color:Beta\",\"Cell:GCGCCAACACCTCGGA
group.by:Beta
color:Beta\",\"Cell:CTTCTCTCAGCATACT
group.by:Beta
color:Beta\",\"Cell:TCAGATGGTAGATTAG
group.by:Beta
color:Beta\",\"Cell:CATCGAAGTAGCGTCC
group.by:Beta
color:Beta\",\"Cell:CGGACTGCAGCCAATT
group.by:Beta
color:Beta\",\"Cell:GGCGTGTTCTCGTATT
group.by:Beta
color:Beta\",\"Cell:TATGCCCAGGGTATCG
group.by:Beta
color:Beta\",\"Cell:CGAGAAGCACTTACGA
group.by:Beta
color:Beta\",\"Cell:AACTCCCAGTACGACG
group.by:Beta
color:Beta\",\"Cell:CCATTCGCAAGCCATT
group.by:Beta
color:Beta\",\"Cell:TGGCGCATCACATAGC
group.by:Beta
color:Beta\",\"Cell:AAACGGGCAAAGAATC
group.by:Beta
color:Beta\",\"Cell:TCTGGAAGTCATCGGC
group.by:Beta
color:Beta\",\"Cell:ACCAGTAGTTCGTTGA
group.by:Beta
color:Beta\",\"Cell:TTTGGTTCAAATTGCC
group.by:Beta
color:Beta\",\"Cell:GCCTCTAAGAGTTGGC
group.by:Beta
color:Beta\",\"Cell:CGGCTAGGTAACGACG
group.by:Beta
color:Beta\",\"Cell:AAAGATGAGTCATGCT
group.by:Beta
color:Beta\",\"Cell:TGAGCCGTCGATAGAA
group.by:Beta
color:Beta\",\"Cell:AGGGAGTTCCTCAATT
group.by:Beta
color:Beta\",\"Cell:ATCACGATCACGGTTA
group.by:Beta
color:Beta\",\"Cell:GAGCAGAGTTTGCATG
group.by:Beta
color:Beta\",\"Cell:TCCACACTCACGATGT
group.by:Beta
color:Beta\",\"Cell:CGATGTAGTGGTACAG
group.by:Beta
color:Beta\",\"Cell:TGGGAAGGTCATGCAT
group.by:Beta
color:Beta\",\"Cell:CATGCCTGTTCGTCTC
group.by:Beta
color:Beta\",\"Cell:TCTCTAAAGCTGGAAC
group.by:Beta
color:Beta\",\"Cell:GAACGGAAGGAGCGAG
group.by:Beta
color:Beta\",\"Cell:AAAGTAGAGCGCCTTG
group.by:Beta
color:Beta\",\"Cell:AACTTTCAGGCATTGG
group.by:Beta
color:Beta\",\"Cell:TACGGTAGTGTGCCTG
group.by:Beta
color:Beta\",\"Cell:AAGCCGCAGGAGTTGC
group.by:Beta
color:Beta\",\"Cell:CATGGCGAGCCCTAAT
group.by:Beta
color:Beta\",\"Cell:TTGAACGTCATCGATG
group.by:Beta
color:Beta\",\"Cell:TAGGCATTCGTTGCCT
group.by:Beta
color:Beta\",\"Cell:AGATCTGTCGATCCCT
group.by:Beta
color:Beta\",\"Cell:CTACGTCAGTCTCGGC
group.by:Beta
color:Beta\",\"Cell:ACACCAAAGTAGGCCA
group.by:Beta
color:Beta\",\"Cell:GCACTCTGTCTGCAAT
group.by:Beta
color:Beta\",\"Cell:CGTCTACGTTTCCACC
group.by:Beta
color:Beta\",\"Cell:GACCAATAGAATGTGT
group.by:Beta
color:Beta\",\"Cell:TACCTATTCGTTACGA
group.by:Beta
color:Beta\",\"Cell:TGAGGGAAGCCGGTAA
group.by:Beta
color:Beta\",\"Cell:TGATTTCAGTGGAGTC
group.by:Beta
color:Beta\",\"Cell:CTAACTTAGATCACGG
group.by:Beta
color:Beta\",\"Cell:ATGAGGGCAAGGTTTC
group.by:Beta
color:Beta\",\"Cell:ACATACGGTAAACACA
group.by:Beta
color:Beta\",\"Cell:GAATGAATCCTGTAGA
group.by:Beta
color:Beta\",\"Cell:ACTGATGGTCCGACGT
group.by:Beta
color:Beta\",\"Cell:GTAACGTCAGCCTATA
group.by:Beta
color:Beta\",\"Cell:GGGAGATAGCGTTCCG
group.by:Beta
color:Beta\",\"Cell:TACGGATTCTAACTCT
group.by:Beta
color:Beta\",\"Cell:GGAAAGCAGGCATGGT
group.by:Beta
color:Beta\",\"Cell:CTCGGAGTCATCGCTC
group.by:Beta
color:Beta\",\"Cell:CGTTCTGAGCCCAGCT
group.by:Beta
color:Beta\",\"Cell:ACGCAGCGTGGCTCCA
group.by:Beta
color:Beta\",\"Cell:CACAGGCTCAAGATCC
group.by:Beta
color:Beta\",\"Cell:GCTGGGTTCGCCATAA
group.by:Beta
color:Beta\",\"Cell:CGTCCATCAGTCGTGC
group.by:Beta
color:Beta\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":\"rgba(253,191,111,1)\",\"size\":1.5,\"line\":{\"color\":\"rgba(253,191,111,1)\"}},\"showlegend\":true,\"visible\":true,\"name\":\"Beta\",\"textfont\":{\"color\":\"rgba(253,191,111,1)\"},\"error_y\":{\"color\":\"rgba(253,191,111,1)\"},\"error_x\":{\"color\":\"rgba(253,191,111,1)\"},\"line\":{\"color\":\"rgba(253,191,111,1)\"},\"frame\":null},{\"x\":[3.7651683157645168,4.2884904211722317,4.0858694380484524,3.9449616736136379,3.7688914602957668,3.708708888884634,4.2753692930899563,3.6917172735892239,4.8378187483511867,4.3068496054373684,3.6750012701712551,4.1570006674490871,4.4909569090567532,4.3201953238211575,4.1558662718497219,4.6197644537650051,3.7943307226859035,3.8011189764700832,3.8908783262930813,4.2860552138052883,4.953642970915884,4.1042176550589504,4.063956863280386,3.5586420363150539,4.2045790022574367,4.0581241911612453,4.309628135558218,4.9434748953543606,3.9707208937369289,4.0788031882010403,4.3074675863943996,4.2125812834464016,4.1810804671011867,4.1613327330313625,4.1415544813834133,4.1233750647269192,3.7564607924185696,4.540925628539175,3.6092368429861965,3.797756797667593,4.2756167715750637,3.9822994536124172,4.3417240446768703,3.9070087736807766,3.5692497557364407,3.9789401358328762,3.6990600889883938,3.7973028486929836,4.0392576521597805,4.0615278547964992,3.7082096403799953,4.1198397940360012,4.7570358580313625,3.6876221960745754,4.0421482390128078,4.8315531080923977,4.8818041151724758,4.0719081228934231,3.840809947844595,4.4146901434622707,3.6967369383536282,3.929534084197134,4.0964404410086575,3.9519139593802395,3.7683998411856594,4.1110025709830227,4.8735128706656399,4.1605702704153957,4.2244850462637844,3.598171836730093,3.9120718306265774,4.7828432387076321,4.2756439512930813,3.8340650862418117,4.1341716116629543,3.6935759848318996,4.8878732985220852,4.3533126181326809,3.9792114561758938,4.1878510779105129,3.7272607153616848,4.2237268751822414,4.7304683989249172,3.9582825964652004,4.2110291784964504,3.6590329474173489,4.1788326567374172,3.7835108107291164,4.2851477926932278,4.0993858641348782,3.85278475939855,4.206941253539175,3.9675642317496242,4.1869531935416164,3.6755405729971828,4.2089210814200344,3.9946595495902004,3.7615333861075344,4.2713748282156887,3.6478635138235989,4.2264033621512356,3.6208459204398098,4.0981928175650539,4.6671968764029446,3.8968588179312649,3.5979048079214992,4.6734758681021633,4.1653372114859524,3.5731941527090969,4.248017913695425,4.0969482725821438,4.19380677401647,4.0267154043875637,3.6752859419547024,3.9452782934866848,4.11096347033605,3.946593410369009,4.3577228850089016,4.2267390555106106,4.0319467848502102,4.0022865599356594,4.3862692183218899,4.3566633528433742,4.012112266417593,3.7653600043021145,3.8392578428946438,3.9582296675406399,3.8220959967337551,4.2790666884146633,4.8305007284842434,4.2600380247794094,4.1178962057791653,4.1578036612235012,4.1299988096915188,4.0152269667349758],\"y\":[-4.1813345869425689,-5.0962627848032866,-2.0351397713068873,-3.4739092310313135,-3.5910936315897852,-4.1603685339335357,-3.7919968088511378,-3.8577817400339991,-0.86170599063672126,-3.278905244672671,-4.3640995939616118,-3.723750682676211,1.3132356683369726,-3.6445847471598536,-3.0026050527933985,-1.3423747738245875,-3.783922048414126,-3.9147642572764307,-4.6768530329111968,-2.3055076321009547,-0.68876549241878093,-5.3729494531992827,-4.7047046144846831,-4.5010617693308745,-3.0754037817362696,-3.6829043348673731,-1.7410278042200953,-0.47179021140374244,-4.8555706461314116,-4.3189624269846831,-5.0903199633006011,-4.9740699251536284,-4.7634843309763824,-3.3286565264109522,-3.1477533300761134,-3.3545483072642237,-5.2532542665842925,-1.5070934613589198,-3.3516133745554835,-4.9233997782114898,-4.958230348432437,-4.9192923029307281,-3.352185102308169,-3.7284103353861719,-4.2564638574961577,-4.0790687521342193,-4.7821448763255034,-3.8162888010386378,-4.7334559877756988,-3.8477219065073878,-3.7607172449473292,-3.0956462343577296,0.096637038385495533,-3.7234464605692774,-5.3106635530833159,-0.63466766675747932,-0.83351120551861824,-3.4789639433268458,-4.2947400530222808,-4.290679307783023,-3.8767207582835108,-5.1896551569346343,-3.531302066648379,-4.8967646082285796,-3.658861013257876,-3.4552353342417628,-0.37577939232625068,-4.4964416941050445,-5.0694449861887847,-3.9731949289683253,-5.1671312769297515,-0.75854998281039299,-3.0913077314738184,-5.4139483888987456,-3.459409805143252,-3.7811191995982081,-0.99437400897778572,-2.0634958465937525,-3.4982336481455714,-4.7272222956065093,-5.0906585176829253,-3.1412273367289454,-0.94771781762875618,-4.5101326425913726,-3.6134074648264796,-4.6001072843912993,-3.0487497766856104,-4.0350559671763335,-4.5549701174143706,-4.9965170343760406,-3.5523766001109034,-4.4558144529704009,-4.6657434423808013,-3.4929128607157618,-4.0809699018839751,-2.5277898033503443,-3.4343720396403223,-4.9682110269907866,-2.6928626020792872,-3.9875546415690333,-3.4406310041788966,-4.5077687223795806,-3.5230122526530177,1.099791912233457,-4.1716831644419585,-3.7157302816752344,-1.2219919284228236,-4.2690785845164214,-4.7333548982981597,-5.430299611890689,-5.2894814928416167,-3.0151425321940333,-4.1383369882944976,-4.5225485285166656,-4.4413059671763335,-2.8859759291056544,-5.2353986223582183,-3.9434927423838526,-2.9411636312846094,-4.9088624437693511,-3.266095014417544,-4.4900182207468902,-3.7087305506113917,-3.241342874372378,-5.0214823206309234,-3.7565096338633448,-3.9927330931071192,-4.1723013838175689,-2.8455587347391993,-0.76378666808642448,-4.4622977693919097,-5.0639975984934722,-5.2773097475413238,-5.3637460192088042,-3.1654377897623927],\"z\":[1.6474694853583352,2.2678830271521582,0.77559181507024921,2.7288589125433935,2.5187892561713232,2.3033556586066259,1.9580397253790871,2.2424358969489111,1.4935800677100197,1.4389643317023293,2.2650366669455542,1.8464862948218361,1.2327821498671547,1.6243790036002175,2.4039139395514502,1.3589428907195107,0.68090977723989643,0.55365350301656879,1.1247000342169777,1.3499763255873696,1.6193426495352761,1.8633428459921852,1.5980829840460793,1.7556627636710183,1.7654970532217995,1.4878282194891945,1.0494790321150795,1.4979819899359719,1.6782898550787941,2.1459217911520971,1.6422769671240822,1.5686887150565163,2.2822488194266333,1.5832513218680397,1.189559364871122,1.9128696566382424,1.7500769739905373,1.3617116456786171,-0.21080580894555895,1.7848413830557839,1.64319309051428,2.2391173487463965,1.2016483789244667,0.46787341143283995,1.9167555218497292,0.71580704505834736,1.9681576138297097,1.7726575976172463,1.8767610436240212,1.1526832824507729,1.5409364348212258,0.8544526642123238,1.2083266025343911,0.4213397895852104,1.9154033308783547,1.2273513322630898,1.5856625681677834,0.88299956376943745,0.75345029886160053,1.9913510924139992,0.50619247014913715,1.9045886641303078,2.87701340969,1.8003981953421608,1.5368673449316994,1.6361664181509987,1.4694782143393532,1.392500722960569,1.8585914021292702,2.2972430830756201,2.0057422762671484,1.3438335901061074,1.8161207085410134,1.6121569519797341,0.93353792484197773,2.3818230276862158,1.7616051083365456,1.2911687141219155,1.8081029301444069,2.2930901890555395,1.8301757221976296,2.3696720248023047,1.3657154088774697,1.323900664404966,1.3786654120245949,2.2367086058417334,2.3664700632849707,1.4042710905829445,1.6668164377966896,1.8389694338599221,2.4151751642981543,2.3941752558508886,2.2259193306723608,1.3449152951994912,2.3593933230200781,3.0048808699408545,1.7172023897925393,1.9697740917960183,2.3569098358908667,1.2342852001944558,2.5018155222693457,2.0716530924597754,1.8232771998206154,1.1154466515341774,0.8878723030844704,1.9975769167700783,1.5046544914999977,1.4392054920950905,1.9821776991644875,1.8281238919058815,1.6713567620078102,1.9429345970908181,1.7048794871130959,1.6828380471030251,0.90038057620916523,2.216438139037229,1.7515104656973854,1.9326098805228249,2.1696555262366308,2.2898159867087378,2.7280842905798925,1.6591003781119362,2.000695312575437,2.5682856684485449,1.7376130467215554,1.240804219798185,2.4409746771613134,1.9236166125098244,1.9692984467307106,1.4489907866278664,1.5091299658576027,1.9984683638373391,2.0168980007926001,1.8868381624976174,2.6455645209113134],\"text\":[\"Cell:TTCTACACAGTCGATT
group.by:Alpha
color:Alpha\",\"Cell:GTTCATTGTTCCAACA
group.by:Alpha
color:Alpha\",\"Cell:AAAGTAGAGAGTGAGA
group.by:Alpha
color:Alpha\",\"Cell:GTTCTCGCAAGTCTAC
group.by:Alpha
color:Alpha\",\"Cell:CAGTCCTAGGTGGGTT
group.by:Alpha
color:Alpha\",\"Cell:CATCGGGAGGCCCTTG
group.by:Alpha
color:Alpha\",\"Cell:TGGACGCAGCTGCAAG
group.by:Alpha
color:Alpha\",\"Cell:CGTGTAAGTTAAGATG
group.by:Alpha
color:Alpha\",\"Cell:ATTTCTGTCCCTGACT
group.by:Alpha
color:Alpha\",\"Cell:CATGACACAAAGTCAA
group.by:Alpha
color:Alpha\",\"Cell:CTAACTTGTAGGAGTC
group.by:Alpha
color:Alpha\",\"Cell:CAACCTCTCTCTGTCG
group.by:Alpha
color:Alpha\",\"Cell:CCGTTCACAGTAGAGC
group.by:Alpha
color:Alpha\",\"Cell:CACCACTCAATCTACG
group.by:Alpha
color:Alpha\",\"Cell:GGCGTGTCAACTGCTA
group.by:Alpha
color:Alpha\",\"Cell:ACATCAGTCCGTTGTC
group.by:Alpha
color:Alpha\",\"Cell:ACAGCCGAGCCAACAG
group.by:Alpha
color:Alpha\",\"Cell:AGCGTATCACGAGGTA
group.by:Alpha
color:Alpha\",\"Cell:TCCACACCAGGCGATA
group.by:Alpha
color:Alpha\",\"Cell:GATGAAACAGGCTGAA
group.by:Alpha
color:Alpha\",\"Cell:CTGAAACAGTATCGAA
group.by:Alpha
color:Alpha\",\"Cell:GACCAATGTAAGAGAG
group.by:Alpha
color:Alpha\",\"Cell:CATCAGAGTTCGCTAA
group.by:Alpha
color:Alpha\",\"Cell:CCATTCGGTGCTAGCC
group.by:Alpha
color:Alpha\",\"Cell:CCACTACTCTTTAGTC
group.by:Alpha
color:Alpha\",\"Cell:GGATGTTGTTACGCGC
group.by:Alpha
color:Alpha\",\"Cell:CTCGTACCAGCCAGAA
group.by:Alpha
color:Alpha\",\"Cell:ATTATCCGTATAAACG
group.by:Alpha
color:Alpha\",\"Cell:GTCCTCAAGTTCGATC
group.by:Alpha
color:Alpha\",\"Cell:CGGAGCTGTTACGGAG
group.by:Alpha
color:Alpha\",\"Cell:GTCAAGTAGTATCGAA
group.by:Alpha
color:Alpha\",\"Cell:TCAGGTACAGTCACTA
group.by:Alpha
color:Alpha\",\"Cell:GGATGTTAGTAAGTAC
group.by:Alpha
color:Alpha\",\"Cell:ACGCAGCCAATCCGAT
group.by:Alpha
color:Alpha\",\"Cell:ACTTTCATCAGAGCTT
group.by:Alpha
color:Alpha\",\"Cell:TCGAGGCAGTTAACGA
group.by:Alpha
color:Alpha\",\"Cell:GTGCGGTCACCGAATT
group.by:Alpha
color:Alpha\",\"Cell:TTGGCAATCGGATGGA
group.by:Alpha
color:Alpha\",\"Cell:GACTAACCATGAGCGA
group.by:Alpha
color:Alpha\",\"Cell:CGTGAGCTCTTCTGGC
group.by:Alpha
color:Alpha\",\"Cell:ATCATGGGTTCTCATT
group.by:Alpha
color:Alpha\",\"Cell:GTGTGCGGTCTCCACT
group.by:Alpha
color:Alpha\",\"Cell:TCACAAGCAACGATGG
group.by:Alpha
color:Alpha\",\"Cell:CGATGGCTCAGTGTTG
group.by:Alpha
color:Alpha\",\"Cell:CATCCACCAGATGGGT
group.by:Alpha
color:Alpha\",\"Cell:TGCCCTATCATAAAGG
group.by:Alpha
color:Alpha\",\"Cell:CCACCTATCTAAGCCA
group.by:Alpha
color:Alpha\",\"Cell:TCTTCGGTCTGCTTGC
group.by:Alpha
color:Alpha\",\"Cell:GGCAATTGTCCATCCT
group.by:Alpha
color:Alpha\",\"Cell:CGTGTAATCGTTGACA
group.by:Alpha
color:Alpha\",\"Cell:AAGCCGCTCTTGCATT
group.by:Alpha
color:Alpha\",\"Cell:CGTAGGCCAACACCCG
group.by:Alpha
color:Alpha\",\"Cell:GCAATCACAGCTGCTG
group.by:Alpha
color:Alpha\",\"Cell:GGACAGAGTCAGCTAT
group.by:Alpha
color:Alpha\",\"Cell:CTTCTCTCATGCGCAC
group.by:Alpha
color:Alpha\",\"Cell:CCACGGAAGATCCTGT
group.by:Alpha
color:Alpha\",\"Cell:TGTGTTTGTATATCCG
group.by:Alpha
color:Alpha\",\"Cell:GACGCGTAGACGCACA
group.by:Alpha
color:Alpha\",\"Cell:GACGTGCTCCGGCACA
group.by:Alpha
color:Alpha\",\"Cell:AAGACCTAGACCTTTG
group.by:Alpha
color:Alpha\",\"Cell:ATCCACCTCATGCAAC
group.by:Alpha
color:Alpha\",\"Cell:GTACTCCTCTCTTATG
group.by:Alpha
color:Alpha\",\"Cell:CGGAGTCCATAACCTG
group.by:Alpha
color:Alpha\",\"Cell:TTAGGACAGGTCATCT
group.by:Alpha
color:Alpha\",\"Cell:GCAAACTTCGGAATCT
group.by:Alpha
color:Alpha\",\"Cell:CTCTAATAGTTATCGC
group.by:Alpha
color:Alpha\",\"Cell:CACATAGAGGGAAACA
group.by:Alpha
color:Alpha\",\"Cell:TGGTTCCTCAACCATG
group.by:Alpha
color:Alpha\",\"Cell:ACGATACTCGCGCCAA
group.by:Alpha
color:Alpha\",\"Cell:GGGACCTGTCAGCTAT
group.by:Alpha
color:Alpha\",\"Cell:CCACCTATCGGAAACG
group.by:Alpha
color:Alpha\",\"Cell:CTCGAAAGTGGTGTAG
group.by:Alpha
color:Alpha\",\"Cell:TTTGCGCAGCAACGGT
group.by:Alpha
color:Alpha\",\"Cell:TACACGAAGATCCCAT
group.by:Alpha
color:Alpha\",\"Cell:GCTGCGAAGAACAACT
group.by:Alpha
color:Alpha\",\"Cell:ATAGACCAGTGATCGG
group.by:Alpha
color:Alpha\",\"Cell:CTCGTACGTTGGTTTG
group.by:Alpha
color:Alpha\",\"Cell:TGTGTTTTCATTCACT
group.by:Alpha
color:Alpha\",\"Cell:TCACGAACAGGCGATA
group.by:Alpha
color:Alpha\",\"Cell:ACTTTCAAGACACTAA
group.by:Alpha
color:Alpha\",\"Cell:GCGAGAAGTGGGTATG
group.by:Alpha
color:Alpha\",\"Cell:ACATACGAGCTATGCT
group.by:Alpha
color:Alpha\",\"Cell:CTCGAAATCGCAAACT
group.by:Alpha
color:Alpha\",\"Cell:AGTCTTTGTCTCGTTC
group.by:Alpha
color:Alpha\",\"Cell:GCGACCATCACCAGGC
group.by:Alpha
color:Alpha\",\"Cell:TCACAAGTCTGGTTCC
group.by:Alpha
color:Alpha\",\"Cell:TAGACCATCTTATCTG
group.by:Alpha
color:Alpha\",\"Cell:AGACGTTAGCCGATTT
group.by:Alpha
color:Alpha\",\"Cell:GAACCTACAGCGATCC
group.by:Alpha
color:Alpha\",\"Cell:GATTCAGAGTACGTTC
group.by:Alpha
color:Alpha\",\"Cell:GCTTGAACATTTGCTT
group.by:Alpha
color:Alpha\",\"Cell:TATTACCAGATGGGTC
group.by:Alpha
color:Alpha\",\"Cell:GGGCATCCATTTCAGG
group.by:Alpha
color:Alpha\",\"Cell:TCGGTAACAGGGTACA
group.by:Alpha
color:Alpha\",\"Cell:TTAGGACAGATGGGTC
group.by:Alpha
color:Alpha\",\"Cell:CGTCAGGCAAACGCGA
group.by:Alpha
color:Alpha\",\"Cell:GCGACCACACGTTGGC
group.by:Alpha
color:Alpha\",\"Cell:AACTCAGAGGTAGCCA
group.by:Alpha
color:Alpha\",\"Cell:GTGGGTCGTCCAGTAT
group.by:Alpha
color:Alpha\",\"Cell:TATTACCTCGTTGCCT
group.by:Alpha
color:Alpha\",\"Cell:TCACAAGAGCATGGCA
group.by:Alpha
color:Alpha\",\"Cell:GTATCTTGTACTCAAC
group.by:Alpha
color:Alpha\",\"Cell:AGGCCACCAACTGCGC
group.by:Alpha
color:Alpha\",\"Cell:AGTCTTTAGTCTCGGC
group.by:Alpha
color:Alpha\",\"Cell:CATTCGCTCGCTTGTC
group.by:Alpha
color:Alpha\",\"Cell:CTCGAGGCAAGTCTGT
group.by:Alpha
color:Alpha\",\"Cell:TTGAACGAGGAATCGC
group.by:Alpha
color:Alpha\",\"Cell:CGCGGTACATTAGGCT
group.by:Alpha
color:Alpha\",\"Cell:TGCGTGGCAGTATAAG
group.by:Alpha
color:Alpha\",\"Cell:GATCGATCAGTCGATT
group.by:Alpha
color:Alpha\",\"Cell:CTGAAACAGGAGTAGA
group.by:Alpha
color:Alpha\",\"Cell:ATGTGTGCATGGGACA
group.by:Alpha
color:Alpha\",\"Cell:GGGATGAAGGGCATGT
group.by:Alpha
color:Alpha\",\"Cell:ACGAGGACATGGTTGT
group.by:Alpha
color:Alpha\",\"Cell:ATCTGCCGTCAGAAGC
group.by:Alpha
color:Alpha\",\"Cell:TAGAGCTTCTCGCTTG
group.by:Alpha
color:Alpha\",\"Cell:CACACCTCACTGCCAG
group.by:Alpha
color:Alpha\",\"Cell:AGTCTTTCACGGACAA
group.by:Alpha
color:Alpha\",\"Cell:GTCGGGTGTGCAACTT
group.by:Alpha
color:Alpha\",\"Cell:GAAATGATCGTCCGTT
group.by:Alpha
color:Alpha\",\"Cell:GTTCGGGAGGCAATTA
group.by:Alpha
color:Alpha\",\"Cell:ACTGATGGTTCCTCCA
group.by:Alpha
color:Alpha\",\"Cell:AAGGAGCAGTACATGA
group.by:Alpha
color:Alpha\",\"Cell:ATGCGATTCGCGTAGC
group.by:Alpha
color:Alpha\",\"Cell:CATCGGGTCATTTGGG
group.by:Alpha
color:Alpha\",\"Cell:CATTCGCTCTGCTGCT
group.by:Alpha
color:Alpha\",\"Cell:CCAGCGAGTACCGTAT
group.by:Alpha
color:Alpha\",\"Cell:GAAATGACATCTACGA
group.by:Alpha
color:Alpha\",\"Cell:TGAGCATCAAGCCGCT
group.by:Alpha
color:Alpha\",\"Cell:CCACTACGTTAAGAAC
group.by:Alpha
color:Alpha\",\"Cell:CACCACTCACGAAATA
group.by:Alpha
color:Alpha\",\"Cell:ACAGCTATCAAGGCTT
group.by:Alpha
color:Alpha\",\"Cell:AAGGCAGGTCTAGCCG
group.by:Alpha
color:Alpha\",\"Cell:GTTTCTAGTCCTCTTG
group.by:Alpha
color:Alpha\",\"Cell:ACGCCGAAGCTTCGCG
group.by:Alpha
color:Alpha\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":\"rgba(255,127,0,1)\",\"size\":1.5,\"line\":{\"color\":\"rgba(255,127,0,1)\"}},\"showlegend\":true,\"visible\":true,\"name\":\"Alpha\",\"textfont\":{\"color\":\"rgba(255,127,0,1)\"},\"error_y\":{\"color\":\"rgba(255,127,0,1)\"},\"error_x\":{\"color\":\"rgba(255,127,0,1)\"},\"line\":{\"color\":\"rgba(255,127,0,1)\"},\"frame\":null},{\"x\":[2.793688661452383,3.2613741224966946,2.6745559042654934,2.4691897696219387,3.2486630743704739,3.1013876265250149,2.3361758059225979,2.5643507307730617,2.3560041254721584,2.3313630884848537,2.6357158487997951,2.4152344530783596,2.8252738779745998,2.5578230684958401,2.7272015875540676,2.479031211730093,2.7370964354239407,2.3576153582297268],\"y\":[0.070623842870816578,0.1226136366482824,0.10801014105044304,0.053220657503232349,0.19655898014269768,0.013699082529172291,0.18593749204836785,0.27336951891146599,0.15909203687869011,0.26178195873461663,0.08589747348986565,0.15554716983996331,-0.00096622308529914491,0.10245349804125725,0.032042411958798755,0.23960020939074456,-0.01739844878949226,0.22291055122576653],\"z\":[2.2997942810812964,1.9235921746054665,2.415010178641416,2.6543135290900244,1.9238834028998391,2.1563965922156347,2.7292678004065527,2.4989740496436132,2.6990682726660742,2.7361378317633642,2.455823863104917,2.6428641920844091,2.2701818590918554,2.5116467123785986,2.4049763327399267,2.5852379446784033,2.3558253889838232,2.7110910063544287],\"text\":[\"Cell:ATCATCTGTGTTTGTG
group.by:Delta
color:Delta\",\"Cell:CCTACACGTTCTCATT
group.by:Delta
color:Delta\",\"Cell:AGCGTATTCTCGTATT
group.by:Delta
color:Delta\",\"Cell:GCCTCTAAGCTAGTCT
group.by:Delta
color:Delta\",\"Cell:GTGGGTCCATAAAGGT
group.by:Delta
color:Delta\",\"Cell:GGCAATTTCACATGCA
group.by:Delta
color:Delta\",\"Cell:TTCGGTCAGGGCATGT
group.by:Delta
color:Delta\",\"Cell:TACCTATGTCCAACTA
group.by:Delta
color:Delta\",\"Cell:GATCGCGAGCGTTGCC
group.by:Delta
color:Delta\",\"Cell:AGTGTCACATAGTAAG
group.by:Delta
color:Delta\",\"Cell:CCTCAGTGTGATAAGT
group.by:Delta
color:Delta\",\"Cell:CTGAAACGTATGGTTC
group.by:Delta
color:Delta\",\"Cell:CATTATCAGCTCCCAG
group.by:Delta
color:Delta\",\"Cell:AACTGGTGTACCGTTA
group.by:Delta
color:Delta\",\"Cell:ATCATCTGTAGGACAC
group.by:Delta
color:Delta\",\"Cell:TCAGATGCACGACGAA
group.by:Delta
color:Delta\",\"Cell:CGGTTAAAGTAGCGGT
group.by:Delta
color:Delta\",\"Cell:TCTTCGGTCTGGCGTG
group.by:Delta
color:Delta\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":\"rgba(251,154,153,1)\",\"size\":1.5,\"line\":{\"color\":\"rgba(251,154,153,1)\"}},\"showlegend\":true,\"visible\":true,\"name\":\"Delta\",\"textfont\":{\"color\":\"rgba(251,154,153,1)\"},\"error_y\":{\"color\":\"rgba(251,154,153,1)\"},\"error_x\":{\"color\":\"rgba(251,154,153,1)\"},\"line\":{\"color\":\"rgba(251,154,153,1)\"},\"frame\":null},{\"x\":[3.8172012633048,3.9640418356619778,4.0921779936514797,4.1104151076041164,4.1845375364981594,4.1118885344229641,3.8757530516348782,4.3496514624319973,3.8364697760306301,4.0921040838919582,3.8910366362296047,3.86671937167272,4.0656186407767239,4.0860859221182766,3.64369691073522,4.0735517805777492,4.0419470137320461,4.019373065825552,4.0086442297659817,3.9628754919730129,3.8232137030325832,3.784641391631216,3.8982225722037258,3.8025161093436184,4.1205469435416164,4.0269590681754055,3.834314472075552,4.1854006117545071,4.098847991820425,4.2035375899039211,4.0021592444144192,4.1749731367789211],\"y\":[-1.1458798964861781,-1.3012585361842066,-2.0352490862254053,-2.3230533321741968,-2.493720861280337,-2.9189573248270899,-1.545060189569369,-3.6142457445506007,-1.4805615266207606,-2.8548248728159815,-1.2251872738245875,-1.6241277178172022,-1.7047620733622462,-2.6839514692667872,-1.3848834355715662,-2.8300114591959864,-2.562305541837588,-1.5894029458407313,-1.9238525350932032,-1.3171585520152003,-1.3056107481364161,-1.4506988843325526,-1.7402947862986475,-1.169714810455218,-2.4311220367792994,-1.2190810163859278,-1.3806635459307581,-2.5046910961512476,-2.640328617895022,-3.2087076624277979,-1.5525943954829127,-2.5892675836924464],\"z\":[3.5603587275305761,3.0363416319647802,3.3926832323828711,3.2868349200049414,3.1031601076880468,3.1063513403693213,3.7029113417426123,2.2332950478354467,3.739574158743955,3.2407769804755224,3.1538161879340185,3.7083072310248388,3.1442126875678076,3.3176071291724218,3.7040762549201025,3.214291298941709,3.3964278345862402,3.0861770754614843,3.5408041125098242,3.0596899634161963,3.5063635950842871,3.7532853728095068,3.6653802042761816,3.5099353438178076,3.1888248568335547,2.9130816107550634,3.6451568251410498,3.0938043242255224,3.2434551363745703,2.8631963377753271,3.2229990607062353,3.077028000907041],\"text\":[\"Cell:CATCGGGCACGTTGGC
group.by:Epsilon
color:Epsilon\",\"Cell:AGATCTGGTTCGGCAC
group.by:Epsilon
color:Epsilon\",\"Cell:TACTCGCTCTTCGGTC
group.by:Epsilon
color:Epsilon\",\"Cell:GATCGTAAGTGCAAGC
group.by:Epsilon
color:Epsilon\",\"Cell:CTGGTCTAGGTGATTA
group.by:Epsilon
color:Epsilon\",\"Cell:TCAGGATTCCAGTAGT
group.by:Epsilon
color:Epsilon\",\"Cell:CTGAAACGTTCCCTTG
group.by:Epsilon
color:Epsilon\",\"Cell:CTTCTCTGTCAGAGGT
group.by:Epsilon
color:Epsilon\",\"Cell:TGGCTGGCAGTGAGTG
group.by:Epsilon
color:Epsilon\",\"Cell:GTACTTTTCAGTTCGA
group.by:Epsilon
color:Epsilon\",\"Cell:CAGAGAGAGGACCACA
group.by:Epsilon
color:Epsilon\",\"Cell:AAGACCTGTGGCTCCA
group.by:Epsilon
color:Epsilon\",\"Cell:AGAGCTTCATTCGACA
group.by:Epsilon
color:Epsilon\",\"Cell:TGAGAGGAGCCAGGAT
group.by:Epsilon
color:Epsilon\",\"Cell:TCAGCTCAGGCTATCT
group.by:Epsilon
color:Epsilon\",\"Cell:AACTGGTTCGTCCAGG
group.by:Epsilon
color:Epsilon\",\"Cell:GGGTCTGCAGCAGTTT
group.by:Epsilon
color:Epsilon\",\"Cell:CTCGAGGGTAAGTAGT
group.by:Epsilon
color:Epsilon\",\"Cell:AGCATACGTCGCGAAA
group.by:Epsilon
color:Epsilon\",\"Cell:GGGACCTGTTGGACCC
group.by:Epsilon
color:Epsilon\",\"Cell:GAAGCAGGTCTAGAGG
group.by:Epsilon
color:Epsilon\",\"Cell:ACGATACAGTCATCCA
group.by:Epsilon
color:Epsilon\",\"Cell:ACGCAGCGTTCATGGT
group.by:Epsilon
color:Epsilon\",\"Cell:ATGTGTGAGGAATTAC
group.by:Epsilon
color:Epsilon\",\"Cell:TACAGTGAGCGTTTAC
group.by:Epsilon
color:Epsilon\",\"Cell:GGGAGATGTTAAAGAC
group.by:Epsilon
color:Epsilon\",\"Cell:GGTGTTACACCTCGGA
group.by:Epsilon
color:Epsilon\",\"Cell:AGGCCACCACGAAGCA
group.by:Epsilon
color:Epsilon\",\"Cell:TTGGCAACATCATCCC
group.by:Epsilon
color:Epsilon\",\"Cell:CAGAGAGGTGTGAATA
group.by:Epsilon
color:Epsilon\",\"Cell:TGCGGGTTCCACTCCA
group.by:Epsilon
color:Epsilon\",\"Cell:TTTGCGCTCTTCCTTC
group.by:Epsilon
color:Epsilon\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":\"rgba(227,26,28,1)\",\"size\":1.5,\"line\":{\"color\":\"rgba(227,26,28,1)\"}},\"showlegend\":true,\"visible\":true,\"name\":\"Epsilon\",\"textfont\":{\"color\":\"rgba(227,26,28,1)\"},\"error_y\":{\"color\":\"rgba(227,26,28,1)\"},\"error_x\":{\"color\":\"rgba(227,26,28,1)\"},\"line\":{\"color\":\"rgba(227,26,28,1)\"},\"frame\":null}],\"highlight\":{\"on\":\"plotly_click\",\"persistent\":false,\"dynamic\":false,\"selectize\":false,\"opacityDim\":0.20000000000000001,\"selected\":{\"opacity\":1},\"debounce\":0},\"shinyEvents\":[\"plotly_hover\",\"plotly_click\",\"plotly_selected\",\"plotly_relayout\",\"plotly_brushed\",\"plotly_brushing\",\"plotly_clickannotation\",\"plotly_doubleclick\",\"plotly_deselect\",\"plotly_afterplot\",\"plotly_sunburstclick\"],\"base_url\":\"https://plot.ly\"},\"evals\":[],\"jsHooks\":[]} pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"StandardpcaUMAP3D\") CellDimPlot3D(pancreas_sub, group.by = \"SubCellType\", reduction = \"StandardpcaUMAP3D\", lineages = \"Lineage1\")  {\"x\":{\"visdat\":{\"8ff16753db12\":[\"function () \",\"plotlyVisDat\"],\"8ff16af8dc4a\":[\"function () \",\"data\"]},\"cur_data\":\"8ff16af8dc4a\",\"attrs\":{\"8ff16af8dc4a\":{\"alpha_stroke\":1,\"sizes\":[10,100],\"spans\":[1,20],\"x\":[-5.6886261636056004,3.4359456366263332,-5.3666280442513523,3.7621866530142727,-5.872935169342905,-6.1831148797310886,2.2261005705557766,2.4181076353751125,3.398643142577261,4.2351423567496242,3.9708577460013332,2.1073290175162258,2.9162017172537746,3.7651683157645168,-5.3833645516671238,-5.1829670602120457,3.8295599287711086,1.5391832655631006,-5.4914945298470554,3.8172012633048,2.793688661452383,2.0342673128806057,3.9640418356619778,2.4987086123190823,3.6219369238577785,0.99059940039739014,-5.4327911073006687,4.2884904211722317,2.9429088896475735,4.0921779936514797,-5.3985317879952488,-2.0335786277092991,4.3770376509390774,4.0545412367545071,4.1104151076041164,3.2023011511527004,0.38131273448094727,-5.9616588288582859,2.6003462141714992,2.5475879973135891,3.3667727774344387,-5.5798309975899754,3.030913478728384,3.847624904509634,4.0858694380484524,3.9018045729361477,4.1920338934622707,-2.6897437506951389,4.0187827414236965,-4.206093185547739,3.6923328703604641,2.1945270365439358,3.9449616736136379,3.8722015684805813,2.2298027342520657,-4.7807520562447605,-2.6104623013772068,4.3668023413382473,3.7688914602957668,3.2212067908011379,3.7928448981009426,-0.54905425846949218,4.0713917082510891,-5.9773162537850437,-5.0173948937691746,3.3210197752676907,3.708708888884634,4.2753692930899563,-5.7239893609322605,1.6613651579581201,4.114228851195425,-1.8538612061776221,3.6917172735892239,4.8378187483511867,-4.9453610116280613,-0.83209495336189865,3.3578559225760403,-5.2147434884347019,-5.35839688122645,4.3068496054373684,4.8751646345816555,4.1845375364981594,4.1118885344229641,4.1085463827811184,4.2631312674246731,-5.3330701524056492,4.57820618807897,2.0549773043356838,3.2613741224966946,-5.9224170380868015,3.6750012701712551,-5.5498193436898289,2.2872663801871242,3.8686019247733059,3.7571336096487942,0.098260707255452884,3.8851114577017727,-5.919978969696909,-5.3041442567147312,4.1570006674490871,3.8757530516348782,3.4961906737051907,-6.1821497613228855,2.6465786761008205,-5.32397305310145,-2.8081093961037693,1.0950797861777246,2.9624165362082424,-5.6242302590645847,-5.2006577187813816,4.4909569090567532,-5.503446930054575,-5.8125513726510105,-4.4374476605691013,4.3201953238211575,2.3921674555502834,4.0995417898856106,-5.3745692902840672,-6.37182461560145,3.8413716620169582,2.2736622160635891,-5.2250226670540867,3.4526020353995266,-5.3119543725289402,2.6745559042654934,3.217281944151968,-6.477021091584116,-5.1964877778328953,3.3088890379630032,-6.1476582223214207,-5.6930960351265965,3.70802796542272,3.3083731001578274,-5.8063710862435398,4.3496514624319973,3.6548677748404446,3.8021856611929836,-5.7689450913704929,2.4691897696219387,-5.2924097710885105,-5.8526018792428074,-5.672373645905405,-5.6623295480050144,4.1558662718497219,-4.8945668870247898,3.2827888792715969,-5.5241459542550144,4.3123055762015285,3.2845560377798977,-1.624504380825907,-5.9470547372139988,3.8091121977530422,-5.6904171639718113,3.6057592695914211,-4.3515030080117283,-5.7528332406319675,3.2486630743704739,4.1241923636160793,2.8195403879843655,4.6197644537650051,3.9772955244742336,3.7943307226859035,2.5913709467612209,3.9710031813345852,3.8011189764700832,3.296350604888052,4.3865267103873196,3.8908783262930813,3.3374468153677883,-4.4706221753396092,3.2570606535635891,3.8364697760306301,4.2860552138052883,2.4976972407065334,-6.2177075082100925,4.953642970915884,3.0680788820944729,-5.4631804162301121,-1.3357294732369482,4.1042176550589504,4.063956863280386,3.5586420363150539,4.2045790022574367,-5.9334925347603855,-5.5754865342415867,-2.4768989020623264,-5.7706888848580418,-1.037919633988291,4.0581241911612453,2.435252553816885,2.3759418791495266,2.7511712378226223,3.2716742819510403,-6.1108916932381687,2.4087811773978176,4.309628135558218,4.9434748953543606,4.0921040838919582,-5.7354863816536961,4.7850753134451809,1.5081285303793848,3.1360293692313137,-0.72175849691405891,3.5372740095816555,2.3448590105734768,3.9707208937369289,2.9682651823721828,0.64330697714909912,3.1923199957571926,3.8910366362296047,3.86671937167272,-3.0602270299233494,-5.4041060143746433,-5.8222106629647312,-5.4442418748177586,-1.4495434695519507,-5.7719706231392918,4.0788031882010403,2.8299533194266262,3.8279835051260891,2.2619544333182278,-4.2111350232399998,-6.4100536042489109,4.3074675863943996,4.2125812834464016,3.278535491820425,4.8723198240958157,3.7191401785574856,0.23066902815923096,4.1810804671011867,2.9881712263785305,2.3492690390311184,-5.6914991074837742,4.1613327330313625,2.7096418207846584,1.9107128447256982,4.1415544813834133,3.9326931303702297,-6.0249489480294285,-5.4014824563302097,4.0656186407767239,3.9642750090323391,0.70927036463841797,4.6895667380057278,4.2933746641837063,-5.2602528268136082,4.1233750647269192,2.7530199354849758,-5.8193434411324558,-6.1109894448556004,-1.0728792184628546,-5.458196514252573,3.6278320616446438,-5.9495462113656101,3.2712379759512844,2.9602612322531643,2.2454253500662746,-5.9845112496651707,-3.1521202260293064,3.6474958723746242,-6.0393150979317722,-5.7518080407418308,-5.7148393327035008,-2.0283108884133396,3.2670952147208157,-5.9730290108956394,-6.0209578210152683,2.3493365114890041,-5.3508690530098972,2.1166299647055569,-5.8466519051827488,-5.1293190652169285,4.5781961744986477,-5.8394626313485203,-6.0309356385506687,4.4323755568228664,-5.3975976640023289,3.7564607924185696,-5.6858676606453953,-5.7005304032601414,2.5634144610129299,4.5063401526175442,4.1718541449271145,4.540925628539175,-4.5778638058938084,-4.364221208695322,3.5970946615897121,2.1566151446066799,-6.0058206254281101,3.7745324438773098,3.1083837813101711,1.3716536825858057,-5.9610012704171238,3.0642060106955471,-5.7542136842049656,3.4612490004263821,3.6092368429861965,-5.5800021821297703,3.1013876265250149,-6.3277510339058933,2.3361758059225979,2.6442028349600735,3.6401864355765285,-5.8642514878548679,-6.03074156582728,4.1436320608817043,-5.7518442803658543,3.8260375326834621,1.272380716200918,-5.3374651604928074,-5.1970995599068699,3.797756797667593,3.2268775767050686,-5.1002482110299168,1.0198576515875757,0.31130755602940918,0.48062289416417481,4.2756167715750637,-5.9069336587227879,3.9822994536124172,2.7996984785757961,3.729941970702261,4.0360781019888821,4.5250836676321926,-5.6807621651925144,-5.7964295083321629,-6.2621782952584324,4.3417240446768703,3.8146392172537746,-2.3665174180306492,2.9567765063010158,3.9070087736807766,-5.3787101441659031,4.0860859221182766,-5.9691227608956394,3.6438437765799465,3.4250918692313137,-4.2681220704354343,3.875729209776968,-5.8648399049080906,-5.5565107995308933,3.5692497557364407,3.9789401358328762,-5.6811984711922703,4.2586289709769192,1.7590841120444238,3.5297552412711086,2.3529039686881008,-6.1315530473031101,3.7280699080191555,-5.3548949891366062,3.2782713240347805,-6.2212966614998875,3.5055633848868313,-5.4770072633065281,-0.9730303221978247,3.6990600889883938,3.7497507399283352,-5.3982642823494968,-5.8888567620553074,3.8859354323111477,3.5195432966910305,-3.8963805371560154,1.8053032225333154,1.4098991221152246,3.5934301680289211,2.5643507307730617,2.7622026270590725,3.8044158285818996,-5.9591859513558445,4.1719976729117336,3.64369691073522,-5.4930647546090183,-5.7994507485665379,-5.3392757111825047,3.3259717291556301,-5.4468868905343113,-6.3571780854500828,3.2842856711111965,2.3560041254721584,-5.2326768571175633,3.7973028486929836,3.8533784216605129,-6.110382907990366,-5.2379931145943699,4.0392576521597805,-5.8231190377511082,1.1200755900107324,4.1074754065237942,2.8175944155417385,4.5524135893546047,-5.6430138284005222,-0.59149248242750763,-3.3063419991768894,-0.87759719878807663,-0.5074914628304541,4.0615278547964992,4.4845186537466946,-6.1248058015145359,2.3313630884848537,-6.0432237321175633,4.2014442747794094,3.8849631613455715,-3.2771187955178318,4.2126609152518215,3.7082096403799953,4.0735517805777492,4.3654242819510403,1.9640537565909326,2.6016289061270657,3.8542548483572903,3.0065325564108791,4.0419470137320461,4.1198397940360012,-6.0586279565133152,-5.1990746194161472,4.7570358580313625,3.9814606970511379,-0.085499518517404782,2.8601588076315823,2.3237930601798,3.5537105864249172,4.019373065825552,3.6876221960745754,-5.7977875405587254,-5.6799820596016941,4.0421482390128078,-5.2353085213936863,4.1839581793509426,3.8697253531180325,-5.2171081239022312,3.1247845953665676,-5.2775639230050144,4.3466187781058254,4.229857570525259,-5.8318871194161472,-4.0895787411965427,3.4561802214346828,-0.86872646302357315,-5.2169026070870457,-5.7484263116158543,2.4695133036337795,-5.0677164727486668,-5.508423679474741,-5.7000273400582371,-2.384531849030405,1.4761222666464746,3.864562160369009,-3.9497762852944431,4.8315531080923977,3.0862537687979641,-5.9344409638680515,-3.4777868920601902,0.21113300978764893,4.840610629912466,4.8818041151724758,-6.0327304536141453,4.0719081228934231,2.6357158487997951,4.2293235129080715,3.840809947844595,3.3152538603506985,3.6268993681631985,3.0060921972952785,4.0086442297659817,-5.1835802727974949,2.4848958319388332,-6.2344092065133152,-5.5369199448861179,-6.3334220582284031,-6.2132896119393406,-5.066432827118784,-1.4480543667115271,3.3920031851492825,4.4146901434622707,-5.7791112595833836,3.1617196863852444,-3.8526743584908543,-5.9049895936287937,3.5681854551993313,3.6677147215567532,-5.6211966210640965,3.6967369383536282,4.1724149054251614,3.472437030669302,-4.7719811135567722,3.929534084197134,2.6585174864493313,2.4152344530783596,-5.0892194443978367,3.7046052283011379,3.3906790083609524,4.7917453116141262,2.8252738779745998,4.0964404410086575,3.8458415335379543,-6.1054814988411961,1.3883909052573145,2.5578230684958401,4.1579734152518215,3.1511603659354153,-5.3443311387337742,-3.804554575089365,3.9519139593802395,-5.7158354455269871,3.0774141615591946,3.7683998411856594,-5.7632640534676609,3.9628754919730129,-5.5107792550362644,3.9301687544547024,4.6595903700552883,4.1110025709830227,-5.9925340348519383,-4.9079335862435398,-6.0116313630379734,4.0381800001822414,-5.4791096383370457,4.6404048269949856,-5.9147142106331883,3.2200423544608059,4.5811253851614895,2.5719155138693752,-5.3072446519173679,3.4785252875052395,4.7884126967154446,4.8735128706656399,0.93153310477361084,-5.5963596040047703,1.4240881270132959,4.1605702704153957,4.401481277342886,4.4116336172781887,2.2761439150534573,-5.4898661309517918,-5.9866064721383152,0.052783197756856692,4.2244850462637844,3.0144556826315823,-5.5977681809701023,-6.0059684449471531,-5.1179498368538914,-5.9642866784371433,4.755299693938345,-5.2662986451424656,-5.939667575959116,2.5774887865744533,3.598171836730093,3.0617722338400783,-5.761318081025034,3.9120718306265774,2.3118149107657375,-0.94558409691229461,4.7828432387076321,-5.7654126817025242,0.027312404509633792,4.2756439512930813,1.9600929087363184,-1.161150538329035,2.0367411440573635,-5.0087841683663425,3.975620395537466,3.1880821055136623,2.7272015875540676,4.3192216223441067,3.8340650862418117,2.8559435671530666,3.5511461561881008,-1.1332349711693823,-5.4355901414193211,-3.4096795254983006,2.4791776007376614,4.6648203200064602,4.1341716116629543,2.2596844500266018,-2.2627447778023777,-5.6280082398690281,3.6935759848318996,0.045447177287191165,-4.5587662392891941,4.2700878447256985,3.568332797881216,0.053109652396291507,-5.3360952073372898,2.4490696257315578,4.8878732985220852,-5.5685132676400242,-6.0200279885567722,2.4781998461447658,-5.3996018105782566,3.8232137030325832,2.8570469683371487,3.0393348997794094,-5.3638433152474461,-4.6927961045540867,-5.9462650948800144,-6.0231627160347996,-5.7078756028451023,4.3533126181326809,3.3287721937857571,-5.3460568124093113,4.0853062933646145,3.2402073210440578,-6.1529258424080906,3.6316906279288235,3.9792114561758938,-5.3954003983773289,-5.3247002297677097,4.1878510779105129,3.7272607153616848,-1.2834967309273779,-4.200078838471323,4.2237268751822414,3.784641391631216,3.8982225722037258,-3.4720481568612156,3.3765975302420559,-5.1755126649178562,4.7304683989249172,4.2413960760794582,-5.0755652123726902,-5.8730138474740086,0.63916409670934082,-5.2855743104256687,-5.9280646973885593,-5.8428872758187351,3.1702209776602688,-1.5372922354973853,3.2740551298819485,3.9582825964652004,-5.8968070679940281,-5.4941357308663425,3.8447271650992336,-5.9965819054879246,3.6187459295950832,-5.6920345956124363,4.2110291784964504,-1.2227924102582037,-4.1958619290627537,3.6590329474173489,4.1788326567374172,3.7835108107291164,4.2851477926932278,-4.472365968827158,2.32739413439855,3.7456418341360989,-5.5271786385811863,-1.2761777573861182,2.6533113783560696,4.0993858641348782,3.3688551253043117,3.51955140292272,0.9623799389563501,-6.0224155122078953,-4.9960721665658054,-4.1175070935524998,3.8025161093436184,4.1205469435416164,-5.2678822213448582,-5.5907281571663914,-5.6040223771370945,3.7243415182791653,3.85278475939855,-5.5447462731637058,-5.2768815690316258,-1.0130716794766486,3.7916637724600735,-1.6983771258629858,2.3243960207663479,-5.9584807091988621,-5.6282089883126316,-0.42723717630282043,-5.5163015061654148,3.1376510924063625,-5.6191514664925633,-5.7415689164437351,4.206941253539175,-5.2534431153573093,3.9675642317496242,-6.0725492173470554,1.9586480921469629,4.1869531935416164,-6.2223313981331883,3.8577367132864895,3.9003025358878078,-5.4860662156380711,-5.8056019479073582,3.5305005377493801,-6.1973417931832371,-5.3344272309578953,-5.4571069413460789,3.975402004119009,3.6755405729971828,3.9099475210867825,4.2384554213248196,0.26568508803471924,-5.1797989541329441,3.2572733229361477,4.3663502997122707,-5.3959749871529636,-5.925296180848032,-5.6979926759041843,2.9078658884726467,3.1994730299673977,-5.936590068940073,4.2089210814200344,-6.0896280938424168,3.9946595495902004,0.054381198283284915,3.6767584150992336,3.7615333861075344,4.8140150374136867,-6.4130009347237644,-5.9415091210640965,2.0899595087729397,-5.3260720902718601,3.7020202940665188,-1.6567391091622412,-5.5412248307503758,-5.6700743371285496,-5.2964433366097508,-5.8124340707100925,-5.5755661660470066,2.9057635134421291,3.9530860251151028,1.3539816206656397,4.2713748282156887,3.7435547178946438,-5.8213099175728855,2.9427110022269192,4.6808501547537746,3.6478635138235989,4.4028011625967922,4.4463373488150539,-6.1728409463204441,-5.7990935975350437,-5.689214580658823,-5.6546972924508152,1.1747036045752466,-5.5775760346688328,-5.4664224320687351,4.2264033621512356,-5.6370757752694187,4.0269590681754055,-5.3465093308724461,3.6384803122244778,3.0052238768301907,-5.3552411729134617,-6.0912598305977879,3.7730208700858059,3.4275070494376125,3.6208459204398098,-5.9925941163338718,-5.4850720101632175,-5.6369341546334324,-4.8173636132515965,3.9032551115714016,-5.7200759583748875,2.9863430327139797,4.0981928175650539,3.4018317526541653,4.6671968764029446,3.8511496847830715,1.6804815596304834,3.8968588179312649,3.834314472075552,3.5979048079214992,4.4432860678397121,4.7364717787466946,-5.3801878625191746,2.2328699892722073,-5.7004131013192234,2.710779315825552,3.4951072996817532,3.1732744044028225,-5.6688474351204929,4.6734758681021633,3.1907359427176418,-2.8448234730996189,3.9047581022940578,4.7213956183157864,3.4439202612601223,3.2129169768057766,-5.8644889527596531,3.3282324141226711,3.5844150847159328,4.6877924269400539,-5.7232388192452488,-5.2029036217965183,-5.2021268540658054,-5.2785514527596531,3.6263157194815578,2.479031211730093,3.5073601072989407,-5.2538922959603367,-3.0699297124184666,-6.25950133145228,-0.72990534544363617,3.7311569517813625,-5.8988321954049168,-5.7185310059823093,-5.4856384927071629,-5.2154592210091648,1.5948706930838525,-5.2093313866890965,-5.3409093552865086,-6.0478628808297215,3.8831917113028469,-6.3964275056160984,3.9812675780020657,4.1653372114859524,2.3977209395132961,2.9845653837881985,4.4032703703604641,3.4935313528738918,2.7370964354239407,3.7417784994803371,-5.8190969163216648,4.1854006117545071,3.6822696989737453,-4.2920180493630467,-5.8522084885872898,3.5731941527090969,1.7521566218100488,-5.8279870682992039,2.7569011515341701,4.248017913695425,4.098847991820425,-5.4763725930489597,4.1806789702139797,4.0674892729483547,4.1557580298148098,2.5360230272971096,-5.1990946465767918,3.1759957140646877,3.3869148558340969,4.0969482725821438,3.3270999258719387,-6.1945279771126804,-5.7646449738778172,-5.7636789017952976,-5.1860245400704441,4.5106087988577785,4.19380677401647,1.4348169630728662,3.0483075445853176,1.3041571444235742,3.0737329786978664,-5.1791127854622898,1.1023757523261011,4.0267154043875637,-6.0973647767342625,3.6752859419547024,3.9452782934866848,1.7036799257956445,-5.7025231057442722,2.6535900896750393,0.59107614218816162,2.3053306406699123,3.3949061697684231,-4.742568605545908,-5.3095802003182468,4.11096347033605,3.2922116583548489,-5.3414553338326511,-5.8058999711312351,3.946593410369009,-5.8377684289254246,2.3679226702414455,2.9427760904990139,1.3651951616965234,-2.5972028905190525,4.2035375899039211,3.466514236327261,-5.7322076493538914,-2.0195505553521214,-5.7662848168648777,-5.9279640847481785,4.3577228850089016,4.2267390555106106,-5.7661789590157566,3.7150350874625149,-5.8282102280892429,4.1812874144278469,-3.0853332215584812,-5.0930021935738621,-4.6041163140572605,-5.9298237496651707,4.4462629622183742,-1.1161883407868445,2.9753459757529201,-1.4426591330803931,-5.3608812028206883,3.1076239412985744,-5.6868876153267918,-5.4807642632760105,-0.39783977806940674,3.6715747183524075,-6.0093773537911472,2.7764593428336086,-5.3116773301400242,4.1185156172476711,2.7369030779562893,-5.5967267686165867,4.0319467848502102,4.0021592444144192,4.0022865599356594,-5.8418825799264011,1.6526974505148828,1.1953849858008325,2.820102817412466,4.2609082525931301,4.1749731367789211,4.3862692183218899,4.3566633528433742,-2.4362351828850803,3.3300324743948879,4.012112266417593,-5.6537359887398777,-2.8257852727212009,3.0882600611411037,0.37636244952306153,-0.12059801161661743,-4.0914295846261082,-4.4639335805214939,-5.920357101563364,-5.0288318330086765,-5.9399326974190769,-6.493007534150034,3.1518148249350491,4.3253170317374172,3.7653600043021145,3.1259836024008694,-2.6130442553795872,3.4876762694083157,-5.858338230255991,-5.0883473092354832,3.8392578428946438,-3.0593122178353367,-6.0411423379220066,-5.8218725854195652,0.73053050696477295,3.9582296675406399,-3.4760218793191013,1.3216131991110742,3.2579966849051418,3.1491898363791408,-6.5008796387948093,3.4683419531546535,3.6988960570059719,4.2128936117850246,4.2010084456168117,3.8220959967337551,-5.3025659257210789,-4.2893997365273533,-6.0911062890328465,2.067372447844595,-5.4109014207161961,4.6016327208243313,4.5009285277090969,-4.0317429238595066,-5.2523106271065769,4.2790666884146633,-5.1373242074288425,3.7997213667593899,4.8305007284842434,3.3830891913138332,3.4761420553885403,0.63557816207036377,-5.7402013474740086,3.9067779844962063,4.2600380247794094,-5.9681919747628269,3.1113175219260158,3.7827926939688625,2.5168422526083889,-4.990298622254282,3.9831935232840481,4.1178962057791653,-5.845271938446909,-5.4591568642891941,-6.054481857422739,2.3576153582297268,3.7698017424307766,3.6942468947134914,3.8944641417227688,4.6226311987601223,2.5652514761649075,-5.1815284425057468,-5.5244868928231297,4.1578036612235012,4.2988306349478664,-5.4960130387581883,-5.8595412904061375,3.6086574858389797,4.1299988096915188,-2.9065550500191746,-6.0575002366341648,-5.3156188660897312,4.0152269667349758],\"y\":[-2.4239424188975245,4.5609880963917817,-1.3609242161158472,-1.4919820149783045,-1.060248257720843,-0.0031989534739405023,5.2746326009389009,-1.9571644981745631,-2.0396699627283961,0.50371637741290032,2.8119253198262304,5.4130541364308442,5.4319583455678071,-4.1813345869425689,0.82002225319109856,-3.361192556226626,-3.4751935919169337,6.2332655469533051,-1.9023222645167261,-1.1458798964861781,0.070623842870816578,-2.1729515512827784,-1.3012585361842066,-2.3668752630595118,4.1861511746998872,6.1666990796681489,-0.07431981166638435,-5.0962627848032866,-2.4883317669276148,-2.0352490862254053,0.68722930351458489,5.3556334058400239,0.84017362991534172,0.15182634988985955,-2.3230533321741968,-1.8098151405695826,6.3171145002003755,-1.5227970202807337,-1.9278317411784083,-2.0975117405299097,-1.8467319925669581,-0.24890917738713325,5.2868897000905122,2.8192738572712988,-2.0351397713068873,0.27459999719820916,0.21939983764849602,4.8468886891957368,-1.251596780622378,3.2370296994801611,4.0774675885792817,-2.157822104299441,-3.4739092310313135,-1.0692414363268763,-1.9240455349329859,2.4415027181264013,4.9130069295521821,1.6697985211964697,-3.5910936315897852,-1.6339909156206995,-0.10385725101269783,6.13976636329852,-0.1988587697390467,-0.72892709089256824,1.9006220380421728,-1.7581078728083521,-4.1603685339335357,-3.7919968088511378,-2.6646362264994532,6.2563449422474946,-1.8575770576838404,5.4354602376576509,-3.8577817400339991,-0.86170599063672126,-1.6714509447459132,6.1034232656117524,-1.7020700295809656,-3.5910142382029444,-0.90599982639588417,-3.278905244672671,0.34204461971484124,-2.493720861280337,-2.9189573248270899,2.5575565377827734,2.1375414411183447,-2.3076520880106837,0.85956921974383294,5.5023647824879731,0.1226136366482824,0.90666511455737053,-4.3640995939616118,0.78360476890765129,-2.229204030836001,-3.5964950044993311,-2.7376447637919337,5.8229342977162446,-1.4376525600794703,-0.0071892460230738031,1.0902816335316747,-3.723750682676211,-1.545060189569369,1.8917509595509618,0.10975864330492913,3.767842916643247,1.0953157226201147,4.7440544644948091,6.2671872655507173,5.0375486890431489,-1.4930325468424708,-1.6865774711016566,1.3132356683369726,-2.5282889326456934,0.2322489897366613,3.053478149568662,-3.6445847471598536,-2.0364881475809962,2.1979185620900243,0.4737764875050634,0.34391608635149895,3.1931356469746679,4.6984931508656587,-2.3206523378733546,-1.3709589560870081,-3.3848780115488917,0.10801014105044304,-1.8686189373377711,-0.27822473844327034,1.7524751702900976,-2.2824387272242457,0.040917066728696216,-1.8718527277354151,3.5393640081044286,-2.5310460050944239,-0.79395885964669288,-3.6142457445506007,1.3428472558613866,2.1670099774952978,-1.0547011216524989,0.053220657503232349,-2.5049843510035426,-0.078191729390993725,0.58263471523486077,-0.33809483250416816,-3.0026050527933985,2.1802228967305273,4.2852317372914399,0.075537113344296802,-0.45325485070981086,-2.1088388880137354,5.6170193235035981,-0.0042112191561609613,3.6995402852650732,1.3101433793660253,3.7294951955433935,3.2245275060292333,-2.5156374891642481,0.19655898014269768,2.7750836888905615,3.9751702825184911,-1.3423747738245875,-0.79763170530833305,-3.783922048414126,5.7760783712025727,0.4742647687550634,-3.9147642572764307,-1.4897038062456995,0.72149756351672112,-4.6768530329111968,3.9998981038685888,2.9275032559987157,3.9596087018605322,-1.4805615266207606,-2.3055076321009547,5.709130434190854,-0.66058179190196098,-0.68876549241878093,-2.0615666826609522,-1.4961245973948389,5.8569709340687837,-5.3729494531992827,-4.7047046144846831,-4.5010617693308745,-3.0754037817362696,-2.2853716333750635,-2.3944978435877711,5.0284039060231294,-0.52450566192902626,5.862429765855893,-3.6829043348673731,5.7198440114613618,5.8193899671193208,5.4614092389699067,-1.839825483167544,-0.37305695017613472,-2.2612950523737818,-1.7410278042200953,-0.47179021140374244,-2.8548248728159815,0.93267014423571526,-0.28739908536709846,6.1978861371632661,-2.2965886314753443,6.0330149213429536,-1.8899432142619044,-1.9679584225062281,-4.8555706461314116,3.2717842141743749,6.2791606465931977,-2.1638055761698634,-1.2251872738245875,-1.6241277178172022,4.5317422429677094,-2.5921070297602564,-1.6452137549761683,-2.5512525757197291,5.8063866178151216,-2.8423815687540919,-4.3189624269846831,5.2906090299244966,-1.2093105038050562,-2.2468459328059107,3.2060834447499365,-0.22580784758366645,-5.0903199633006011,-4.9740699251536284,-1.5329989512804896,0.3640733043309301,-1.9681979139689356,6.0053149739857759,-4.7634843309763824,-2.3324273546580225,4.7507134954091157,-2.1058399399165064,-3.3286565264109522,-2.1642199476603419,6.1403819600697602,-3.1477533300761134,-2.4249170740488917,0.032660750543698658,-1.5147729237917811,-1.7047620733622462,-1.7407974918726832,5.9290868322011079,0.73337867656908928,2.081605819856748,-2.7303775270823389,-3.3545483072642237,3.7827760259266943,-2.4628283699396998,-0.18605199655331672,5.7512680570241059,-0.62760734757222236,-2.2259094437006861,0.66038360992632805,-1.7920636852625758,-1.9738279302958399,-1.9679617603663355,-0.75979690825380386,4.4477821866627778,3.7065235654469579,-0.47790557345189155,0.37111750045977532,-1.2477879842165858,5.3866788426991548,4.6404534856434907,-2.0194360931757838,0.24557277361117302,-2.1719521005991846,-2.534595580900088,6.0664698163624848,-0.97541529139317573,-2.9255004843119532,1.4162239114399999,1.2918585816975683,-1.7989293058756739,1.5153717080708593,-2.089099975431338,-5.2532542665842925,-0.6945296322349459,-0.55396698614396156,-2.0415210445765406,1.6229487935658544,-0.38922444185055793,-1.5070934613589198,2.724437622224912,3.1053611318226904,0.36135938564501702,5.0215751210805024,1.0733109990712255,-1.1420734246615321,4.5590206662770356,5.6490041295643891,0.79236331382952629,5.1439806501027192,0.90493681827746331,3.5825807134266943,-3.3516133745554835,0.96703484455309807,0.013699082529172291,0.43656936088763176,0.18593749204836785,-2.287687393033877,-1.1840383132342249,-1.854727359617129,-1.2767833789233118,0.62264111438952385,-2.3413816412333399,-1.5632042010668665,5.9288293401356782,-2.3667430599574,-2.6569406708125025,-4.9233997782114898,-2.4469978531245142,-3.4312649687174708,6.3557030240651216,6.2044831792470063,6.2774120847340669,-4.958230348432437,0.73083033958636223,-4.9192923029307281,-2.1936223228815943,-1.0237523933295161,-1.9902027567271143,1.2441510240193456,-2.3397497852686793,-2.555000158155337,-0.081854196393862377,-3.352185102308169,-1.7697127779368311,5.1079546491261567,-1.8375985344294459,-3.7284103353861719,-2.6187299211863428,-2.6839514692667872,-2.3111585100535303,-1.5935382564906031,-1.7216208895090968,3.1498731652852148,-2.1834809502009302,-0.81959226926602424,0.29429247776232659,-4.2564638574961577,-4.0790687521342193,-2.2445436437968165,0.86365702549181878,6.2456165830250825,3.1487597505208105,5.6828376332875337,-0.31161385973729194,-3.3768814524058253,-2.1371415575388819,-2.4847284277323634,-0.63256122370995582,4.585175184404477,-0.86869067152775825,5.7339288274403657,-4.7821448763255034,-1.6008018573168665,-1.3599250038508326,-0.89102895756997169,2.0458225289937109,-3.0228110273722559,3.6446587125416845,6.1587616483326997,6.3113709966298188,-0.93845525583066047,0.27336951891146599,-2.2699178179148585,-0.8309136574510485,-0.5421614368800074,1.9949585477467626,-1.3848834355715662,-1.2548774202708155,-0.303394796455279,-1.8503794391993433,-1.6082303841952235,1.0362267772313207,-0.25962552627362312,-2.2054419239405543,0.15909203687869011,-2.3545452078226954,-3.8162888010386378,-1.7407530268076807,0.15898248354159294,-2.9843977411631495,-4.7334559877756988,0.4603710452672094,6.5101992169972505,-0.99471473892964424,5.3173429051991548,0.010975567495450367,1.3160141984578222,6.0811940709706391,4.2911726514454926,5.8067003766652192,6.1516915837880219,-3.8477219065073878,-0.56223127445019783,-0.60679900100268425,0.26178195873461663,0.77471056381426751,0.02344634929858147,-2.0636211355570704,4.3087302724476899,2.5385943929310888,-3.7607172449473292,-2.8300114591959864,1.6987279931660741,6.1059791127797212,-2.367948623502627,-1.3026901801470667,-1.582632096612826,-2.562305541837588,-3.0956462343577296,-0.49307361444272102,-2.3902754505518824,0.096637038385495533,-1.002995671832934,6.155241159593686,-2.3592964132670313,-2.2031477411631495,0.19480547109805046,-1.5894029458407313,-3.7234464605692774,-0.57716794511117042,1.0069606582280248,-5.3106635530833159,-2.7188754995707423,-0.67533974921144546,-1.5247779806498438,-3.3243452032450587,3.8057982007618993,1.7180282155629247,1.8951307813283056,0.38730898300372063,0.4815432111378759,3.4106136838551611,3.9369875470753759,5.7471791783925141,-1.6154571493510157,-2.5282175262812525,5.5046383420582856,-2.2374744137171656,-0.74580705364979805,0.63541057506762444,5.0971418897267426,6.0172392408009614,-1.1334699412230402,3.5790030042286962,-0.63466766675747932,-1.9919628818873316,-1.4715509136561304,4.1195961515065278,6.0665365735646333,-0.15717074474133552,-0.83351120551861824,-0.041548641527071606,-3.4789639433268458,0.08589747348986565,2.8287989179249853,-4.2947400530222808,-1.6391935070399195,0.73227992454729973,-1.9409398754481226,-1.9238525350932032,-3.2999371012095362,-2.4444392641428858,0.584676412736997,-0.47898596724309028,-0.063820513093844067,-0.85163870652951301,1.7567495385762304,5.9222551862355317,-1.4317240436915308,-4.290679307783023,-1.6689185818079859,-1.9907366951350123,3.6644283811207861,-1.208278807008639,-3.2294615229014307,-3.53181395133771,0.16766300598345696,-3.8767207582835108,-1.6996605714205653,-3.1247032602671534,2.3767744580861181,-5.1896551569346343,-2.085426183545962,0.15554716983996331,-3.1717403849009425,2.5828756372090429,-1.5759708603266627,0.50336995521746575,-0.00096622308529914491,-3.531302066648379,2.3629836122151464,-0.51668662031926216,6.5097676793690766,0.10245349804125725,2.4005526582356542,5.1191674749013032,-2.2253373583201319,3.7342983762379736,-4.8967646082285796,-2.1765366514567286,5.1614891568776216,-3.658861013257876,1.1124904433842748,-1.3171585520152003,-2.0713031013850123,-1.6945940574053675,0.51691594520770012,-3.4552353342417628,0.68430438438616692,2.1503387967702001,-0.44561726053990425,-1.3538924773577601,-1.7000657041911036,0.19344046512804924,-0.25588000019825996,4.1527763883229341,-0.056277902925387036,-2.3305705507639796,-2.6961437185648829,-1.2722177823428065,-0.1896642764452845,-0.37577939232625068,6.5140706578847016,-2.6139056404475123,6.2066051046010102,-4.4964416941050445,1.5446392575856298,0.22592374483309685,5.8738400022145356,-2.5415188988093287,-0.46387927433289589,6.3667241613026704,-5.0694449861887847,-2.1448111256007105,0.58100822368822991,-0.52378004988469185,1.5315343419667333,0.30252352157793938,-0.27326551278866829,-3.302570434415713,-0.26172504028119148,5.6343637982960786,-3.9731949289683253,4.9236470739003266,-0.017684849107638012,-5.1671312769297515,-2.1053601225260645,5.7960950414296235,-0.75854998281039299,-0.19752535423077644,5.9886652509327973,-3.0913077314738184,5.5834752599354829,5.8752571622487153,5.6014906446095551,-1.6426285227183253,2.61355319420062,-2.5852859934214503,0.032042411958798755,0.14958980480395256,-5.4139483888987456,-2.1020459850672633,0.086386946832761158,5.8410164395924653,-1.2037187536600977,4.2020098249074067,-2.2779335697535426,1.0987122336979955,-3.459409805143252,-2.2577160318735987,5.1850587407704438,-2.6689614971522242,-3.7811191995982081,6.1284867803212251,2.7336803952809423,0.34952881733141838,-3.34799465736188,6.1840998212452973,-0.59392323544062675,-2.1494937857035548,-0.99437400897778572,-2.485010357702151,-0.55357498129643501,4.2672535459157075,-1.966421695554629,-1.3056107481364161,-2.0817610939387232,-1.8661416490916163,1.1090861837025732,2.5411118547078222,-0.28003990849293769,0.32085719505511223,-1.5454110821131617,-2.0634958465937525,4.3861509839650239,-1.7415537556055933,2.8075331727620214,-1.8260016163233668,0.1392575780507177,-2.8897417505625635,-3.4982336481455714,-1.4735290130022913,-2.5246780832652003,-4.7272222956065093,-5.0906585176829253,5.9258219281788911,3.3085028211232275,-3.1412273367289454,-1.4506988843325526,-1.7402947862986475,4.1155492345448579,-1.8608510216120631,-2.1143266876582056,-0.94771781762875618,0.50713565746508538,0.45906033912859856,-0.46734926303662361,6.0061265508290376,-3.1791225393656641,-1.5013940056208521,-0.26577314933575691,-1.7897350510004908,5.63598218361102,-2.0897912701014429,-4.5101326425913726,-1.6685838421229273,0.97515573898516594,-2.7128883322123438,-0.32605084975995124,-3.5607670267466456,1.3025166074391454,-3.6134074648264796,5.893799451982602,3.2949859181996435,-4.6001072843912993,-3.0487497766856104,-4.0350559671763335,-4.5549701174143706,2.9335071126576513,-2.3022573908213526,-1.7962529381159693,0.5133655349370092,5.6860047856923188,5.159546522295102,-4.9965170343760406,-2.1413491686228663,-0.82106331934966148,6.3522821942921723,-0.51868814429081977,-1.7872458418253809,3.3782621900197118,-1.169714810455218,-2.4311220367792994,1.5110184232350439,-1.2300030310992152,-1.2066546698454768,-1.225744934881106,-3.5523766001109034,-2.6143294294718653,-2.6177423914317042,6.0290595571156587,-0.50202726026810707,5.5554124395009126,-2.0825966318491846,0.82027926841937004,-1.0108128507975489,5.9120933095570649,-0.79877247860468925,5.0785557309743012,-0.31409719785489143,-1.3025124987009913,-4.4558144529704009,-2.3140825947169215,-4.6657434423808013,0.41521671215258538,5.1376625577565278,-3.4929128607157618,0.48376431862078606,0.29471722046099602,3.2478906194325536,-2.2987181862238795,-1.0797995050791651,4.2867161313649262,0.0086186210270970953,-1.9105398376826197,0.51899733940325676,3.5210286656972021,-4.0809699018839751,3.3192664662953466,0.70587757030688225,6.1707736531849946,-1.5136269052866846,4.7605287114735688,1.2189218083973974,0.45066287914477288,-0.091579588258638989,-1.3130245526675135,-2.0013136585596949,4.0836221257802094,1.0017936507817358,-2.5277898033503443,0.11476179758273064,-3.4343720396403223,6.1084958593007173,3.0255440751668066,-4.9682110269907866,-0.095709474885836254,-0.18845281204022468,-1.0779137929324061,-2.2594849785212427,-2.3959475477579981,3.6926156560536474,5.6331044713612641,-2.3972980697993189,-2.1494072397593409,-1.8019695003870875,-2.0892197807673365,-2.9782463034037501,-2.4243255575541407,3.3101173917409032,6.5054933110829438,-2.6928626020792872,-1.9548871239069849,-1.0323364158514887,3.8065759221669286,0.62841287056170403,-3.9875546415690333,-1.8541104515437037,0.92590418258868157,0.30194666782580315,-1.5018984397295863,0.4845412055607885,-0.17712667783536018,6.4476925412770356,-0.47259341379441322,-2.5780229290369898,-3.4406310041788966,-1.6972892006281763,-1.2190810163859278,0.82663360038958489,-2.8337613066080958,-1.8718189915064722,-2.4918985088709742,-0.4765626957062632,3.815107492601499,-3.0737915953043848,-4.5077687223795806,-0.55044420262612404,1.6344713250752538,0.59758129516802727,2.3286994973774999,-1.5176588614825159,1.3997396508809179,4.3693019429799165,-3.5230122526530177,-2.2236046512965113,1.099791912233457,-1.3247968276385218,6.2552506009694184,-4.1716831644419585,-1.3806635459307581,-3.7157302816752344,1.2596484700795263,-0.46185544332303108,1.3177145997639745,-2.3060733993891627,-0.057403357828035961,-2.1491220911387354,-1.5088147242907435,-2.2488428076151759,0.89430573383532463,-1.2219919284228236,-1.7824537475947291,4.7233945409413423,-0.8146330138090998,0.60548105636797844,4.515163091814145,-2.2426744421366602,-0.93062654336728157,-1.4334760030154139,-3.3568438013438135,-0.10162368615902961,-1.2473947127703577,-1.5495269616488367,-3.387439819181338,-2.4978031834010035,-2.4426278789881617,0.23960020939074456,2.0904172937031835,-2.0420862158183009,4.447622923051938,0.33577218452654778,6.0066849271412934,-1.2338218410853297,-0.76057930489815773,1.4095458070393652,-0.41820094188489021,-3.2321222742442042,5.8363801519032563,-3.3232058008555323,-2.5770795067194849,-0.31931096514500679,0.72523787418566643,-0.036010058725252758,-1.6460498293284327,-4.2690785845164214,5.3818947354909028,-1.8912765701655299,2.2370673696156591,-3.2408536394480616,-0.01739844878949226,-1.6100855191592127,1.1436475793477148,-2.5046910961512476,1.2412191907521337,3.1574496308919042,-1.7195602377299219,-4.7333548982981597,6.1509872953053559,-0.61843190541304649,-2.2150703390482813,-5.430299611890689,-2.640328617895022,-2.9598692377451807,-2.3358186205271632,2.9129666368123144,1.7064711133595556,-2.3687793930415064,-3.3262511213663966,4.272367624437436,-2.3304073532465845,-5.2894814928416167,-1.5694117864016444,0.69464531341753899,1.2206509391423315,-0.38724771341122688,-2.281199904287234,0.87080135742388665,-3.0151425321940333,5.7142797986622895,-1.7597033699396998,6.3953572789784516,4.580111650621518,-3.4103980978373438,6.4420615712758149,-4.1383369882944976,-0.40766781767643989,-4.5225485285166656,-4.4413059671763335,6.0136028806325044,-2.5683570822123438,-2.0698828419093043,5.9267965833302583,5.8210684339161958,-1.584379287565127,2.4513479749318212,0.31395700374804436,-2.8859759291056544,-1.6249425133112818,-2.4603950699213892,-1.8524055202845484,-5.2353986223582183,0.18474444547854363,-2.2207362373713404,5.3366757909413423,6.5767537633534516,4.927673963701352,-3.2087076624277979,-1.4646193703059107,-2.422739358747378,5.3576818982716645,-2.099086376035586,-0.80372051348723472,-3.9434927423838526,-2.9411636312846094,1.1226489822026342,-1.3077832778338343,-0.78446293076314033,-0.68009287318028511,4.4954034368153657,-1.7862660606745631,2.6894771138783544,-1.0091382583025843,1.5287803689595312,5.8734637776967134,-1.9619347771052271,5.6830383817311372,-2.5390444715861231,4.1398221532460298,-1.2197047789935023,1.6846672574635595,6.1165787259694184,-1.2854562123659998,-0.56570275327004493,-2.1670902689341456,-2.8032799681071192,-1.1525176187399775,-2.3812174518946558,0.88983025947771965,-4.9088624437693511,-1.5525943954829127,-3.266095014417544,-1.3213318904284388,6.33929028907977,6.3083335439320649,5.3751651326771821,2.3950490037556738,-2.5892675836924464,-4.4900182207468902,-3.7087305506113917,5.0579430142994966,4.3881346265431489,-3.241342874372378,-0.76926513587869705,4.7141295949574555,4.8203302899952973,6.2412511388417329,6.1266581098195161,3.4219328443165868,2.9060088674183935,-1.6100386103037745,2.0702642480488866,-0.63595286955870689,0.001632181799039234,-1.7061382254008204,2.1587850133534521,-5.0214823206309234,-1.8804079016093165,4.8964935819264497,-0.22585761746205391,-0.9315751661900431,1.6518577615376562,-3.7565096338633448,4.5343104879017915,-0.25433305105008186,-0.59171976348198951,6.2357431928273286,-3.9927330931071192,4.1006461660023774,6.3245631734486665,0.31341960827074944,-2.3546580990199,-0.027807446325197827,-1.5766496380213648,-3.1263745745066553,-2.0799854715708643,-0.87494377990998329,-4.1723013838175689,-2.6738413294199854,3.1740800420399755,-0.7417087220940739,4.9637571851368989,-2.4503285606745631,1.6926080266591161,0.85934927860461174,3.4705716649647802,-3.294992776716128,-2.8455587347391993,-3.1253803690318018,3.7592670003529638,-0.76378666808642448,-2.0003306587580592,2.2952796498890966,6.1151291410084809,-1.1817605515364558,-1.4531759341601282,-4.4622977693919097,-0.50720545848645271,4.1018168012257661,3.4780861417409032,-2.2370871027354151,1.986632732545957,-1.8131473978403956,-5.0639975984934722,-2.3007143457774073,-2.705123277509585,0.035058585798367847,0.22291055122576653,3.6925312558766454,2.8941611329670995,-1.845871420705691,0.78922310272417961,-2.3646841963175684,0.97853210369311272,-1.6979959925059229,-5.2773097475413238,1.0312146226521581,-2.0426032265070826,-1.8615666349772364,-1.660240681970492,-5.3637460192088042,4.6611811200734223,-1.0947847386244685,-1.9412618597391993,-3.1654377897623927],\"z\":[1.7209126597205178,0.304718563512899,2.9518279677191748,-0.11627197806444017,2.527021372870542,-1.1616564149102195,-0.44043216650094835,-4.4422009343346582,-1.8901479596337303,0.64212461765203632,0.90162458475027241,-0.5616598481377586,-0.31387249176111071,1.6474694853583352,-1.8559828156670555,1.3017032986441628,0.53710638935957111,-1.2055859917839988,3.2410707121649756,3.5603587275305761,2.2997942810812964,-4.4041054600914942,3.0363416319647802,-4.1149027699669825,0.53898705001268543,-1.3542396182259544,-1.0455540770730003,2.2678830271521582,-3.1062190884789453,3.3926832323828711,-1.9399180764397606,-2.1132080907067285,0.8171541338721291,0.90080531890783466,3.2868349200049414,-2.2322132939537989,-1.6255686635216697,3.6978158598700537,-3.3646304959496485,-4.3691227788170801,-0.46031162683572618,-1.7735357636651023,-0.24576518480386583,1.0056945925513283,0.77559181507024921,1.1263341551581398,0.76457359846029438,-2.0971832627495752,0.32114868070278318,-2.1789520138939844,0.59330972488317646,-4.064512526436709,2.7288589125433935,-0.74776128475274883,-3.9802940243920313,-2.265229021950625,-2.1370454186638819,1.3236580735007302,2.5187892561713232,-2.0720038766106592,2.070060694769956,-1.8430841321190818,0.54968904908094562,-1.9872184151848777,-2.2787847871026026,-0.65203252975549542,2.3033556586066259,1.9580397253790871,1.5473641997138039,-1.1801981085976585,2.8522421961585058,-1.9414627904137596,2.2424358969489111,1.4935800677100197,2.6814934855261816,-1.8734398240288719,-1.0633577460488304,1.3253179436484352,-1.3942010754784568,1.4389643317023293,0.87805118616018452,3.1031601076880468,3.1063513403693213,1.1078978424826638,0.92488339002523579,-0.33500662986841051,0.91635533626470722,-0.61538109724130474,1.9235921746054665,-0.84139434043969952,2.2650366669455542,-2.0481994504174219,-3.7735307568749414,0.60138397868070759,-0.051875984116457385,-1.3837494010170921,-0.086225038214586658,0.22023350949678572,-2.3228574151238428,1.8464862948218361,3.7029113417426123,1.2781826501647011,-0.56737945024576031,0.46906028892192991,-2.2135410660943018,-2.0628683919152246,-1.2380369061669334,-0.04046544973459093,0.837201023654081,2.9908573275366797,1.2327821498671547,1.9862050658026711,-0.17170277778711168,-2.2872708195885645,1.6243790036002175,-4.4389136189660059,1.1687112694540993,-1.7915833348473533,-0.93923786823358379,0.89649810846243061,-0.089318996115587634,2.4751481657782568,0.021782869652844983,1.0894958620825783,2.415010178641416,-2.4634974354943262,-1.4219024533471092,-2.0867083424767481,-1.6111193055352195,-0.87906924430932842,3.3997888212958349,0.84418412502203144,-1.2857990616997703,-1.5206691378792747,2.2332950478354467,1.4481854086676613,1.1002716666022316,-1.3295537585457786,2.6543135290900244,2.2881769781867041,-0.75032225792016827,-2.3060582036217676,-0.78535715286340557,2.4039139395514502,-2.3108218068322168,0.51729873772058643,-0.67585364524926983,0.053315753296948987,-1.8620951527794822,-1.9020243043145164,-1.2004583234032615,0.78582485969457783,-1.6618275994500145,0.86647834833059467,-2.3881311768731104,1.5621211176672951,1.9238834028998391,1.0202697759428994,0.47894205357227476,1.3589428907195107,-0.32135615293588488,0.68090977723989643,-0.55646727029886089,1.5054069405356423,0.55365350301656879,-1.5736995095452293,0.95347877796087421,1.1247000342169777,0.71669798548612751,-2.29292706195917,0.71361448820028461,3.739574158743955,1.3499763255873696,-0.61775795166101299,-2.1065354699334131,1.6193426495352761,-3.5662513131340967,3.0720355158606543,-1.9200106019219383,1.8633428459921852,1.5980829840460793,1.7556627636710183,1.7654970532217995,3.3954834585944189,0.94232525880727924,-1.9662084931572898,-1.849751507683657,-1.9525401944359764,1.4878282194891945,-0.63729122821893536,-0.7145071381768211,-0.39546743576135485,-1.3430507535180076,-2.0330062264641748,-4.1679814213952051,1.0494790321150795,1.4979819899359719,3.2407769804755224,-1.3561985844811424,1.0498764162817971,-1.191149269982241,-2.0094900483330713,-1.8639381283959373,-0.47995248977746813,-4.5793383473595606,1.6782898550787941,0.74070682580862202,-1.5883779877861961,-2.3771019334038721,3.1538161879340185,3.7083072310248388,-2.0808737630089746,2.0160249119559301,3.8996264582434668,0.14952222462091597,-2.0323360318383203,1.6737135296622292,2.1459217911520971,-0.31565431301202623,-0.026652877970598621,-4.1024010533532129,-2.1747932786187159,-0.94935015384759747,1.6422769671240822,1.5686887150565163,-1.7098124379357322,1.1636628156462685,-0.7162318581780418,-1.7282541150292381,2.2822488194266333,-3.2276380414208399,-0.078878974362276477,0.74750124867353596,1.5832513218680397,-4.0884254330834375,-1.0145118588646873,1.189559364871122,0.3903947194973007,-0.94834426586236797,3.1389162188330664,3.1442126875678076,0.47066290880832823,-1.2757071608742698,1.0581040626326577,1.1477326398650185,0.32490608300361784,1.9128696566382424,0.5173266773978249,3.0760864859381689,-1.1544330472191795,-1.9826200360497459,-0.64909449760522686,-0.23120782320108263,-1.76178578083124,-1.7653222436150535,-3.3801544064721094,-4.5782168263634668,1.0214734321394936,-2.2039041871270166,0.72845580633077778,0.88445487077627338,-0.29914370719995348,-1.0816707963189109,-1.9775553101738914,0.39048799331579359,3.4803926592627539,-0.32863870803918688,-4.1809685582360254,-0.092906569882296008,-0.93725935165490948,0.74785491283331074,0.18445610459242018,1.2826760655203835,-1.2093589657982811,3.7233423834601416,1.2038882618704811,-0.49340949003305284,1.7500769739905373,0.059543306187726575,-1.8433957452019676,-4.282156741066836,0.72548347170744099,0.66199704463873066,1.3617116456786171,-2.2377672547539698,-2.2304728383263575,1.6928121691504494,-0.30780450050439684,-1.2986466044625267,3.625844443396665,0.34684939514193686,-0.9748978966912254,-0.88790789787378155,-0.12677953188028185,-2.02537015621271,0.84438320453558124,-0.21080580894555895,-1.6897497529229148,2.1563965922156347,-1.2289797419747337,2.7292678004065527,-3.7606008404931055,-1.0677769536217674,3.5967497473517431,3.3604943400183691,1.1257096772948281,1.3127427345076577,-0.76174894516076885,-1.2205983752449974,1.3196410780707375,-0.30704352800454943,1.7848413830557839,-2.7273321503838526,1.1913472061911599,-1.5190250033577903,-1.6133187169274315,-1.6711378449639305,1.64319309051428,-1.9469058865746482,2.2391173487463965,-3.567005431099795,-0.79229167644586407,0.58494160528574146,1.1052656417647377,1.0154487734595314,1.4312659149924294,-1.6040673608025535,1.2016483789244667,0.15209474618826063,-1.9866021031579002,-3.9850170964440332,0.46787341143283995,0.12375443632993849,3.3176071291724218,3.3351301794806494,-0.17860732023324816,-0.40273997728433458,-2.2626276368340479,0.15176876838598402,-1.4128768796166404,-1.7225137109002098,1.9167555218497292,0.71580704505834736,0.77422132547292866,0.83087646420393146,-1.174794232293032,0.9538275843420998,-0.67436913196649395,-1.3853454941948875,0.055805141285993176,2.6971456652441992,-1.7222819680413231,-2.036694561882876,0.22020485456380995,-1.0017899626931175,-2.0363965386589991,1.9681576138297097,-0.60229984466638409,2.8106479292670263,0.7931694930354134,1.2149381881514565,-0.59038505498971783,-2.3249888772210108,-1.0659122819146141,-1.3062185401162132,0.43357135187182577,2.4989740496436132,-3.7645094746788965,-0.038051163597963733,0.098663741902448254,1.1280154829779641,3.7040762549201025,-1.1353292817315086,-2.2370138520440088,-0.73369005863275372,-2.0130548829277979,-2.1559827679833399,-0.45105413143243639,-1.5762316340645774,2.6990682726660742,1.4027789479056374,1.7726575976172463,0.37313892850000413,-0.86793092434015118,1.7184003239432351,1.8767610436240212,-1.1653086299141868,-1.5945712680062278,-0.19997534696664659,-0.27938840334024279,0.9043699746886269,-1.3924358243187889,-1.7441013211449607,-2.164802586480044,-1.8035307282647117,-1.8367646092614158,1.1526832824507729,0.50072960014734424,-2.2032118195733057,2.7361378317633642,-1.7908523434838279,0.80211066658888019,0.25911098177824171,-2.3312256688317285,0.96546807344350971,1.5409364348212258,3.214291298941709,1.1345819478789345,-0.99145928566064678,-3.8196928853234278,3.6591691618720068,-2.5635261887749659,3.3964278345862402,0.8544526642123238,-2.1815410012444483,2.2979336624899878,1.2083266025343911,2.6538922434607519,-1.666209256096743,-3.8914845341881739,-3.7873032445153223,1.6922328120032326,3.0861770754614843,0.4213397895852104,-0.360995268269442,-1.2482587451180442,1.9154033308783547,2.0755170231619848,-0.26055273954477159,0.32712042163405569,1.4042644148627297,0.71589305456075825,-1.821381842537783,1.0160376673499123,0.78435095603857197,-1.052843605919741,-2.2612905854424463,0.6890948658743874,-1.8348224515160545,2.9087946062842382,1.6430362110892311,-0.4968474263390526,2.6027874594489111,-1.3492400998314842,-1.486954843445681,-2.07944730465021,-1.1020439023217186,-0.54610196296777569,-2.2726106995781885,1.2273513322630898,-3.0372295731743799,3.5530161505499853,-2.1356568688591944,-1.7008445615014061,1.016341054991819,1.5856625681677834,-0.14174357597436754,0.88299956376943745,2.455823863104917,0.98261817748937763,0.75345029886160053,-1.5385767573555931,1.5969053154746071,-2.8063612336358057,3.5408041125098242,0.98550584371481098,-3.5016446465691553,-0.75427452270593487,-1.2737386578759178,-1.6466327065667137,-1.8502304906090721,-2.3419442528923975,-2.0458758229454981,-1.2706771249016746,1.9913510924139992,3.4627344256201757,-2.2016206139763819,-2.2152846211632715,3.0283591395178808,-0.47989234869088976,0.068220908001996594,-0.77350369636621319,0.50619247014913715,0.83226543124113239,-0.759559070511721,-2.1788525933464991,1.9045886641303078,-3.9743526334008203,2.6428641920844091,0.82426616008672871,1.0060130005637185,-0.90193072502221905,0.99577304180059589,2.2701818590918554,2.87701340969,1.1097865944663063,1.0397622233191506,-1.4801934117516502,2.5116467123785986,1.0542903190413491,-0.10410792176332323,-0.52546677534189068,-2.2278192395409571,1.8003981953421608,3.2558207159796728,-0.13142303173150865,1.5368673449316994,-1.7740826958855613,3.0596899634161963,3.1895594244757666,-0.17401996795739977,0.91778298671636738,1.6361664181509987,-0.73427704517450176,-2.2525081986626612,-2.2196486348351465,0.69169294293317951,-0.46725687925424425,1.1021707301894204,0.53705961461458362,0.62042188103590168,0.86326968129072346,-4.1374972218712793,-0.08763489667978136,-0.55257776920404278,0.70897960122022785,1.4694782143393532,-1.6909764165123924,1.7370013838568703,-1.2234360331734642,1.392500722960569,1.1404010897437111,0.70430269296560444,-0.77642956916894756,0.55308466608915485,-0.35568419639673082,-1.5766607875069603,1.8585914021292702,-3.3035679215630518,-2.3364601487359034,0.90753599460516132,-2.2550762051781641,-1.1180763596734031,0.65383696015272297,1.2952232008734719,-1.9782958382805809,-0.59248397295083843,2.2972430830756201,0.038324529484845715,0.091932917193509656,2.0057422762671484,-4.1635878438195215,-1.8778262490471824,1.3438335901061074,0.043047363118268567,-1.7005379552086815,1.8161207085410134,-0.69823590461816631,-1.9868114346703514,-0.68850151245202862,2.8571991568366064,0.96169736440572895,-2.2192685956200586,2.4049763327399267,0.58710421080980457,1.6121569519797341,-3.7493899220665918,1.4361596947470681,-2.0254648083886133,-1.0320638770302757,-2.194324767037295,-3.3233628625115381,1.1207342391768471,0.93353792484197773,-4.3238962048729883,-2.0157058591088282,1.3689778691092507,2.3818230276862158,-1.6327367181023582,-2.2361541146477686,1.2783063894072548,-0.34779039566125719,-1.6785416955193504,-1.3047206753930076,-4.0978777760704981,1.7616051083365456,1.1861673241415993,0.96773936803732075,0.19234318490419539,-0.61603239719476544,3.5063635950842871,-4.0356600636681543,-2.7837984914025293,-2.2865541333397852,-2.1630576008995996,0.47733135725650938,-0.85122517292108379,3.5315065031806006,1.2911687141219155,0.43814096058998259,2.8295335417548193,1.0183514600554482,-2.0716970318993555,0.074111575440503674,-0.1683719510277733,1.8081029301444069,2.813250506476499,-0.17830512468423693,2.2930901890555395,1.8301757221976296,-2.1124124879082666,-2.3127229565819727,2.3696720248023047,3.7532853728095068,3.6653802042761816,-2.2501683587273584,-1.7157409543236717,2.5517861491004004,1.3657154088774697,1.0044521933356301,-1.9490778798302635,-2.0694294327935205,-1.3766488188942894,1.0883080011168496,3.7152385359564795,0.24303577299509199,-2.3975520486077295,-2.0111916417321192,-2.1207371110161768,1.323900664404966,3.4216956740180029,-2.1676068658074366,0.2165401970902458,0.53535660560522236,-0.029214953823946399,-1.4250539893349632,1.3786654120245949,-2.1199062222680078,-2.290758168145083,2.2367086058417334,2.3664700632849707,1.4042710905829445,1.6668164377966896,-2.2967899197777735,-4.0652792805870996,-0.19649956171121447,-1.7053244466027244,-2.096262490197085,-0.27862081472482531,1.8389694338599221,-0.70852748100366436,0.39061276912037285,-1.4190649146279319,0.61508458311948933,2.6585242396155371,-2.3407025689324366,3.5099353438178076,3.1888248568335547,-1.7592449540337547,2.296513879851438,-1.2292689437111839,-0.55698255245294415,2.4151751642981543,0.8907671218672768,-0.10765579883661119,-1.8264146203240379,2.3196100836554541,-1.9832051152428611,-4.1977947110375391,-1.2108956927498802,-1.2360688800057396,-1.8238900059899315,-0.86720553581323467,-0.027806436463259143,-1.7001874798974022,-1.2176562899788841,2.3941752558508886,-0.45528093521203844,2.2259193306723608,-0.068795179768465442,-0.41647366230096666,1.3449152951994912,-0.54538110439386212,1.3633727675238625,0.85273441131506122,0.24904445763025435,0.6631188338557259,0.4339464550772682,-1.3287616128167137,2.2579960470953955,-1.4042799824913963,0.61381466145906605,2.3593933230200781,0.8688000386515633,1.4263145571509377,-1.6951468342980369,2.7577550059119238,0.17524067516718062,0.9498038535872475,-2.0003671998223291,0.18651787395868452,0.43843322451505812,-3.9814703816613184,0.57061597164068378,-1.5036745423516258,3.0048808699408545,-0.33383670990075914,1.7172023897925393,-1.6321361417016014,0.98652752693090595,1.9697740917960183,1.0880603438178078,-0.53754291479196392,2.773108208731748,-4.2355239743432032,-0.37801322881784288,0.72456821258459247,-2.0279355401238428,0.54893437977228321,3.1907698756018652,3.0268418436804785,3.457516396597959,1.4449412470618264,-3.340039288445376,0.84601234848890461,-1.4419619197091087,2.3569098358908667,-0.14701214973535387,1.4355934506217018,0.62639995868597187,0.99976345355901874,1.2342852001944558,1.2835021858969704,1.2228841429511086,-0.21482173149194567,3.613076413230039,-2.3255999440392481,-0.17167637292947618,-1.5193666571816429,-0.21886805240716783,0.57198853249941028,2.5018155222693457,3.2400831824103369,2.9130816107550634,-2.1386235112389551,-0.26648065988626329,-2.7126224393090235,-0.13236359302606432,-0.18778732959832994,0.67918309028539814,-0.97862473671045147,2.0716530924597754,-1.9102948064049705,-1.6672747487267479,-1.7135117406090721,-2.2741632813652979,-0.32925484125223009,-1.2433543557366356,0.36929347710032018,1.8232771998206154,-1.2759771699151023,1.1154466515341774,-0.021791195317171497,-1.1791127080162986,0.8878723030844704,3.6451568251410498,1.9975769167700783,0.7745423858920113,1.2915099507132546,-1.8756244534691795,-4.3823464268883692,-1.4591155404290184,-3.7586329335412012,-1.5040309781273826,-2.5591385716637598,-1.6513920182427391,1.5046544914999977,-2.0850282067498194,-2.1008479947289453,2.6287481432715429,1.1270150786200539,0.32470682095084341,-2.057024037285708,-1.2075527066430076,-1.065495407029055,0.13675721939001234,1.3079818731108681,-1.2754156941613182,2.884389365271665,1.3640479093352333,2.0701118355551733,-0.37930515949334948,2.5852379446784033,1.2134255414763466,2.5993244295874609,-2.2355978841027246,-1.3153759593209251,-1.8953039998253807,-0.45669290964212267,0.87915643508825458,-1.6264961117943748,-1.0798709744652732,1.6988180523673073,-0.94540134613122784,1.667353714064695,0.037134016112424451,-0.90237275306787335,1.2605692392149941,-1.1737389916619285,0.40754000674281271,1.4392054920950905,-0.45946708862390367,-3.0717862004479395,1.1325286274710671,-0.66270211879815899,2.3558253889838232,0.1166816001692787,-1.7870245331963523,3.0938043242255224,1.4199568873206154,-2.2672367448052393,3.5120024328986181,1.9821776991644875,-1.0933958644112571,-1.7200847024163231,-3.6352956647118555,1.8281238919058815,3.2434551363745703,1.7570126896658913,0.94751032646093525,0.94733711536321796,1.0536057596961037,-3.5108058804711328,1.2466590052405373,0.47824824060592802,-1.6976774090966209,1.6713567620078102,-1.3610468262871727,-0.77255121414270245,-1.1383841389855369,0.02872138674650343,2.4830815439978613,0.88447066600713886,1.9429345970908181,-1.0324172133645042,-2.3510797375878321,-1.4476848000725731,0.26201189513597639,1.1477381830969826,-1.4810302609642967,1.7048794871130959,-0.53395435754861675,1.6828380471030251,0.90038057620916523,-0.99898735229577862,1.2779807096282021,-3.4881890172204004,-1.5146830434044822,-0.72990480606164776,-0.610877429886721,-2.2288358563622461,-1.8078728074273094,2.216438139037229,-1.5956042165001854,1.2107753997603432,3.7306248789587988,1.7515104656973854,-2.2431216592034326,-3.7950709218224512,-0.27807972375955431,-1.5701052302559837,-2.0571282262047754,2.8631963377753271,-0.4825310463150963,1.6426313763419167,-2.0708632821282373,3.3254556303778662,-1.9241636151513084,1.9326098805228249,2.1696555262366308,-1.3984380120476707,-1.1418389434060081,0.19010824914369734,-0.1337219232758507,-2.1535916680535303,2.7292859202185644,-2.2689855450829493,2.4331793432990088,1.0194046741286293,-1.8206553811272606,-3.9941161030968653,-2.0084650868615137,-0.075243359251879138,0.55220734532270588,-0.75211945716943585,-1.5432904118737205,-1.80182484333124,-0.82482949440088116,0.86275687272939838,-3.5396340245446192,1.3238997703352944,0.044734383181668835,-3.2960760945519434,-2.0534053200921045,2.2898159867087378,3.2229990607062353,2.7280842905798925,3.2318439131537451,-1.2646129483422264,-1.4033933037957176,-0.47724065725412218,0.92000427301321186,3.077028000907041,1.6591003781119362,2.000695312575437,-2.0032043809136377,0.43237840588483961,2.5682856684485449,-0.60239753667917095,-2.0061273926934229,0.086906844929792004,-1.5733874196251854,-1.7488398904046043,-2.2866111153801905,-2.2330105656823145,3.6391958838263525,-2.0540738457879053,-1.4164207333764061,-0.025705700560472888,-1.9356620663842186,0.99586179311666645,1.7376130467215554,-2.3733580464562403,-2.0383117551049219,1.4584244137564675,0.66361799295339741,-2.2756264561852442,1.240804219798185,-2.1218195313652979,-0.42767701093759386,-1.2472914809426292,-1.4674115533074363,2.4409746771613134,-2.2123680466851221,-1.3827655667504295,1.845051730231382,-2.5346234196862207,-1.4120872372826561,-1.3125818127831443,-0.012733524485491199,0.95320072229299702,0.21816810424719008,1.9236166125098244,0.075430149392224866,-2.3801901692589746,-1.9588947648247703,-0.29265860263910143,1.6331224089423195,1.1292436962882058,0.88943287189397968,-2.2359147423943506,1.5138283615866677,1.9692984467307106,0.72607460077200092,0.69116958434972919,1.4489907866278664,-0.63467577640619122,1.1443618779936806,-1.4216475838860496,0.54873485322389759,-0.38111028616037218,1.5091299658576027,0.79618325288686909,0.56344146485719837,0.7448875253954903,-4.1484949940880762,-2.3450262898644434,0.51448547299299396,1.9984683638373391,3.2512380724707617,1.1803533678809182,0.071157509640790539,2.7110910063544287,0.73239692504797138,0.9550708180228249,0.3882182344729081,1.0160740857878701,-3.5063732022484766,-2.0848410481652246,3.2758783942023291,2.0168980007926001,1.0070734267989174,0.077136183337308484,3.4548844939032568,0.11523925717268141,1.8868381624976174,-1.9708857888421043,3.0285789614478125,2.9304322844306006,2.6455645209113134],\"text\":[\"Cell:CAGCCGAAGCGATATA
group.by:Ductal
color:Ductal\",\"Cell:AGTGTCATCGCCGTGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATGAAAAGTTGTAGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CACAGTACATCCGTGG
group.by:Beta
color:Beta\",\"Cell:CGGAGCTCATTGGGCC
group.by:Ductal
color:Ductal\",\"Cell:AGAGCTTGTGTGACCC
group.by:Ductal
color:Ductal\",\"Cell:GCTCTGTAGCGTGAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACCGTAACAAGGTTCT
group.by:Beta
color:Beta\",\"Cell:CCACTACAGGTGGGTT
group.by:Beta
color:Beta\",\"Cell:TGCGTGGGTCCCTTGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGAGTGTCTTCTCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCGTGGACACGAAGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GAACATCAGCAATATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCTACACAGTCGATT
group.by:Alpha
color:Alpha\",\"Cell:ACGGCCACACGTGAGA
group.by:Ductal
color:Ductal\",\"Cell:CTCGTACAGAGGTTAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTCTACAGATGCGAC
group.by:Beta
color:Beta\",\"Cell:CTCACACGTCACACGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AAAGCAACACGGTAAG
group.by:Ductal
color:Ductal\",\"Cell:CATCGGGCACGTTGGC
group.by:Epsilon
color:Epsilon\",\"Cell:ATCATCTGTGTTTGTG
group.by:Delta
color:Delta\",\"Cell:CAAGGCCCAAGAAAGG
group.by:Beta
color:Beta\",\"Cell:AGATCTGGTTCGGCAC
group.by:Epsilon
color:Epsilon\",\"Cell:CTCTGGTCAAGACACG
group.by:Beta
color:Beta\",\"Cell:TACAGTGTCCCTAACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGACAGATCAGCATGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACTCCACATATGGTC
group.by:Ductal
color:Ductal\",\"Cell:GTTCATTGTTCCAACA
group.by:Alpha
color:Alpha\",\"Cell:TAAGTGCCAATAGCAA
group.by:Beta
color:Beta\",\"Cell:TACTCGCTCTTCGGTC
group.by:Epsilon
color:Epsilon\",\"Cell:GCTGCTTTCCTCGCAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCTGGGTGTCTAGAGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCTCTCAGCGTGAGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGAGCACTCTAACTCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATCGTAAGTGCAAGC
group.by:Epsilon
color:Epsilon\",\"Cell:TGTCCCAGTCTCGTTC
group.by:Beta
color:Beta\",\"Cell:CTTGGCTCAGCCACCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGTCTGGTAAACCTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGGACTGTCTTGAGAC
group.by:Beta
color:Beta\",\"Cell:GGTGCGTTCTGGTATG
group.by:Beta
color:Beta\",\"Cell:TACCTTATCCGATATG
group.by:Beta
color:Beta\",\"Cell:ACGGGTCTCTATCGCC
group.by:Ductal
color:Ductal\",\"Cell:GTACGTACATCGATGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCGTAGATCTTTACGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAAGTAGAGAGTGAGA
group.by:Alpha
color:Alpha\",\"Cell:AGCGTATTCTGCTGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGACAAGTCATAACCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACATCAGTCCTTGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCAGCGACAGGCTGAA
group.by:Beta
color:Beta\",\"Cell:GGACAGAAGTGGAGAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GACTACAAGCGTGTCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGCAATTGTAGAGCTG
group.by:Beta
color:Beta\",\"Cell:GTTCTCGCAAGTCTAC
group.by:Alpha
color:Alpha\",\"Cell:CGAATGTTCTTCATGT
group.by:Beta
color:Beta\",\"Cell:CCGTGGACATTCCTGC
group.by:Beta
color:Beta\",\"Cell:CTAATGGAGCCGGTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGCGGTCGTCGAATCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTATTCTTCACTTACT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGTCCTAGGTGGGTT
group.by:Alpha
color:Alpha\",\"Cell:CGACTTCCACAACGTT
group.by:Beta
color:Beta\",\"Cell:AAACGGGTCCGCGCAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTAGTGACATTGAGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCCTAGAGAGTGACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCAGTTATCTTGAGAC
group.by:Ductal
color:Ductal\",\"Cell:CGAACATCAAGCGAGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGGAGATAGCGAAGGG
group.by:Beta
color:Beta\",\"Cell:CATCGGGAGGCCCTTG
group.by:Alpha
color:Alpha\",\"Cell:TGGACGCAGCTGCAAG
group.by:Alpha
color:Alpha\",\"Cell:CAGAATCCACGCATCG
group.by:Ductal
color:Ductal\",\"Cell:CTCGGAGGTTGGACCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGGACACTCTATCCTA
group.by:Beta
color:Beta\",\"Cell:CGTGTAATCATTATCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTGTAAGTTAAGATG
group.by:Alpha
color:Alpha\",\"Cell:ATTTCTGTCCCTGACT
group.by:Alpha
color:Alpha\",\"Cell:AGAGCGAGTTGGACCC
group.by:Ductal
color:Ductal\",\"Cell:CAGATCACAACCGCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGGCTAGCATTCCTCG
group.by:Beta
color:Beta\",\"Cell:CCACGGACAGATGAGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGGCGCAAGAAGATTC
group.by:Ductal
color:Ductal\",\"Cell:CATGACACAAAGTCAA
group.by:Alpha
color:Alpha\",\"Cell:AACGTTGTCAGTTAGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTGGTCTAGGTGATTA
group.by:Epsilon
color:Epsilon\",\"Cell:TCAGGATTCCAGTAGT
group.by:Epsilon
color:Epsilon\",\"Cell:CATTATCGTCATATCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCGCAACAGTGTACCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTGCATACAATAGCAA
group.by:Ductal
color:Ductal\",\"Cell:TTTACTGGTTCGTTGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTAGTCAGTCCGACGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCTACACGTTCTCATT
group.by:Delta
color:Delta\",\"Cell:AGCTCTCTCAACACGT
group.by:Ductal
color:Ductal\",\"Cell:CTAACTTGTAGGAGTC
group.by:Alpha
color:Alpha\",\"Cell:ACGAGCCGTGACTACT
group.by:Ductal
color:Ductal\",\"Cell:GTAGGCCGTTACCAGT
group.by:Beta
color:Beta\",\"Cell:TCTCATATCAGAGCTT
group.by:Beta
color:Beta\",\"Cell:GCTGGGTGTCATACTG
group.by:Beta
color:Beta\",\"Cell:GGGAATGTCGACCAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TAAGTGCTCCAAATGC
group.by:Beta
color:Beta\",\"Cell:TAAGTGCAGGGTTTCT
group.by:Ductal
color:Ductal\",\"Cell:CGGACTGAGGTAGCTG
group.by:Ductal
color:Ductal\",\"Cell:CAACCTCTCTCTGTCG
group.by:Alpha
color:Alpha\",\"Cell:CTGAAACGTTCCCTTG
group.by:Epsilon
color:Epsilon\",\"Cell:GTAGTCAGTACTCAAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGCCACCACCTATCC
group.by:Ductal
color:Ductal\",\"Cell:CAGAGAGGTACCGTTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTCTACAAGATCGATA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCACAAGCACCGAAAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCGGGACGTCATCGGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGCCAGAGGAACTGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATATGGCATGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:ATCATCTTCTGTCAAG
group.by:Ductal
color:Ductal\",\"Cell:CCGTTCACAGTAGAGC
group.by:Alpha
color:Alpha\",\"Cell:GTCAAGTGTGGTCCGT
group.by:Ductal
color:Ductal\",\"Cell:TTTGTCAGTTGTTTGG
group.by:Ductal
color:Ductal\",\"Cell:ATTATCCAGACCCACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACCACTCAATCTACG
group.by:Alpha
color:Alpha\",\"Cell:GCGCGATGTCCGAATT
group.by:Beta
color:Beta\",\"Cell:CATTATCTCTGAAAGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTAGGACAGCTAAGAT
group.by:Ductal
color:Ductal\",\"Cell:GCGCGATTCGCGTAGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTACATTCACCGTTGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCATTTGCATTGGCGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCAGCCCAGGAATGC
group.by:Ductal
color:Ductal\",\"Cell:GGGATGAGTCTGCGGT
group.by:Beta
color:Beta\",\"Cell:TGCGCAGTCTGCCAGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGCGTATTCTCGTATT
group.by:Delta
color:Delta\",\"Cell:GTCTCGTAGATCTGCT
group.by:Beta
color:Beta\",\"Cell:CAGAATCGTGTAAGTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGACTTTAGGTCATCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTGCATATCAGAGACG
group.by:Beta
color:Beta\",\"Cell:TGGCCAGCACGAAAGC
group.by:Ductal
color:Ductal\",\"Cell:TGGCGCACAATGTTGC
group.by:Ductal
color:Ductal\",\"Cell:CAGTAACGTCTGATCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGCGACAGATCACGG
group.by:Beta
color:Beta\",\"Cell:AAAGATGAGTGAACAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTTCTCTGTCAGAGGT
group.by:Epsilon
color:Epsilon\",\"Cell:ATTTCTGAGAAGATTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCTAATTCACCATAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGTGTCTTCTTGTCAT
group.by:Ductal
color:Ductal\",\"Cell:GCCTCTAAGCTAGTCT
group.by:Delta
color:Delta\",\"Cell:CCTAAAGTCATGCAAC
group.by:Ductal
color:Ductal\",\"Cell:AGGCCACAGCTGTCTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GAAATGACACATGACT
group.by:Ductal
color:Ductal\",\"Cell:ACTGAGTAGGCTAGGT
group.by:Ductal
color:Ductal\",\"Cell:GGCGTGTCAACTGCTA
group.by:Alpha
color:Alpha\",\"Cell:AACTCAGAGAGCTGCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGCTTCACAGATCGGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGCTTTCTGGTGTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTGTCTCATACTCTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTATCTGTCAGGACA
group.by:Beta
color:Beta\",\"Cell:CTGAAACTCGATAGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTTCTCGCAGCTGGCT
group.by:Ductal
color:Ductal\",\"Cell:CATATGGAGGCCCGTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGAACAGCCTCGTG
group.by:Ductal
color:Ductal\",\"Cell:CCTAGCTCAGGTGCCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCCTCCTAGACCCACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTAACTCGTCCGAACC
group.by:Ductal
color:Ductal\",\"Cell:GTGGGTCCATAAAGGT
group.by:Delta
color:Delta\",\"Cell:CTGAAACTCAAACCAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTTCTCGGTTTGTGTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACATCAGTCCGTTGTC
group.by:Alpha
color:Alpha\",\"Cell:ATCCACCTCCTTTCTC
group.by:Beta
color:Beta\",\"Cell:ACAGCCGAGCCAACAG
group.by:Alpha
color:Alpha\",\"Cell:AAGACCTAGTAGGCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AACTCTTCACTCGACG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCGTATCACGAGGTA
group.by:Alpha
color:Alpha\",\"Cell:GGACAGAAGGCCGAAT
group.by:Beta
color:Beta\",\"Cell:ACTGTCCCACGTAAGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCCACACCAGGCGATA
group.by:Alpha
color:Alpha\",\"Cell:CGTCACTCAGTATAAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACACCTGTCGCTTTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCTCGAGTCGCTTCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGGCTGGCAGTGAGTG
group.by:Epsilon
color:Epsilon\",\"Cell:GATGAAACAGGCTGAA
group.by:Alpha
color:Alpha\",\"Cell:TTCTTAGTCGCAGGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCCCGATGTAAGTGTA
group.by:Ductal
color:Ductal\",\"Cell:CTGAAACAGTATCGAA
group.by:Alpha
color:Alpha\",\"Cell:ACTATCTTCTGCTGTC
group.by:Beta
color:Beta\",\"Cell:GATCGCGAGCTGAACG
group.by:Ductal
color:Ductal\",\"Cell:CATGCCTAGTGGTAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GACCAATGTAAGAGAG
group.by:Alpha
color:Alpha\",\"Cell:CATCAGAGTTCGCTAA
group.by:Alpha
color:Alpha\",\"Cell:CCATTCGGTGCTAGCC
group.by:Alpha
color:Alpha\",\"Cell:CCACTACTCTTTAGTC
group.by:Alpha
color:Alpha\",\"Cell:AAACGGGGTGAAATCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACCGTAATCTATCCCG
group.by:Ductal
color:Ductal\",\"Cell:ACTTACTCAATACGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GAACGGATCACAACGT
group.by:Ductal
color:Ductal\",\"Cell:CGGTTAAGTCTAGCCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGATGTTGTTACGCGC
group.by:Alpha
color:Alpha\",\"Cell:CAAGAAACACTAGTAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGTTGGTGTCGCATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTGCTCGTCCTAGCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTCCATGTCTAACGT
group.by:Beta
color:Beta\",\"Cell:CAGCTAACAACACGCC
group.by:Ductal
color:Ductal\",\"Cell:CAGTAACCATACGCTA
group.by:Beta
color:Beta\",\"Cell:CTCGTACCAGCCAGAA
group.by:Alpha
color:Alpha\",\"Cell:ATTATCCGTATAAACG
group.by:Alpha
color:Alpha\",\"Cell:GTACTTTTCAGTTCGA
group.by:Epsilon
color:Epsilon\",\"Cell:AGTAGTCCACATGACT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGTGAGGTCTGTTGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCTCATAAGCAGATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATCACGATCAGGATCT
group.by:Beta
color:Beta\",\"Cell:AGCAGCCCAAGTCATC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TATTACCAGCTAGTCT
group.by:Beta
color:Beta\",\"Cell:GTGGGTCGTACTTCTT
group.by:Beta
color:Beta\",\"Cell:GTCCTCAAGTTCGATC
group.by:Alpha
color:Alpha\",\"Cell:GCCAAATGTAAACACA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTTACTGTTTGGGCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTTACTCACCGTTGG
group.by:Beta
color:Beta\",\"Cell:CAGAGAGAGGACCACA
group.by:Epsilon
color:Epsilon\",\"Cell:AAGACCTGTGGCTCCA
group.by:Epsilon
color:Epsilon\",\"Cell:AACTTTCCACAGTCGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGATCATCTCGATGA
group.by:Ductal
color:Ductal\",\"Cell:TGTTCCGGTCAGCTAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCGCCAAAGAGGTTAT
group.by:Ductal
color:Ductal\",\"Cell:CATGCCTTCGCACTCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTAACTGTCAGTGCAT
group.by:Ductal
color:Ductal\",\"Cell:CGGAGCTGTTACGGAG
group.by:Alpha
color:Alpha\",\"Cell:AGCAGCCGTCGCATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGCCAAGTCTAAGCCA
group.by:Beta
color:Beta\",\"Cell:ACTATCTTCATGTAGC
group.by:Beta
color:Beta\",\"Cell:ATGCGATGTTACTGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATGAAAAGACAGACC
group.by:Ductal
color:Ductal\",\"Cell:GTCAAGTAGTATCGAA
group.by:Alpha
color:Alpha\",\"Cell:TCAGGTACAGTCACTA
group.by:Alpha
color:Alpha\",\"Cell:TATCTCACATTGTGCA
group.by:Beta
color:Beta\",\"Cell:CGTAGCGAGACTGTAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGATGTGTCGCGGTT
group.by:Beta
color:Beta\",\"Cell:CTCTGGTTCCCAGGTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGATGTTAGTAAGTAC
group.by:Alpha
color:Alpha\",\"Cell:CAGAATCCACAAGCCC
group.by:Beta
color:Beta\",\"Cell:GTAACTGGTCACTGGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACTTTCGTGGTCCGT
group.by:Ductal
color:Ductal\",\"Cell:ACGCAGCCAATCCGAT
group.by:Alpha
color:Alpha\",\"Cell:TTTCCTCAGTGTCCCG
group.by:Beta
color:Beta\",\"Cell:TATTACCGTTGAGTTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTTTCATCAGAGCTT
group.by:Alpha
color:Alpha\",\"Cell:TAAGTGCTCGCCTGAG
group.by:Beta
color:Beta\",\"Cell:TCGTACCCATATACGC
group.by:Ductal
color:Ductal\",\"Cell:TGGTTCCGTTGATTCG
group.by:Ductal
color:Ductal\",\"Cell:AGAGCTTCATTCGACA
group.by:Epsilon
color:Epsilon\",\"Cell:GGTGTTACATGTTGAC
group.by:Beta
color:Beta\",\"Cell:CCTCTGACATCGGTTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCTACGCACTAAGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCGGAGGTGAAGGCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGTCAACAGACAAAT
group.by:Ductal
color:Ductal\",\"Cell:TCGAGGCAGTTAACGA
group.by:Alpha
color:Alpha\",\"Cell:CAAGTTGTCTAACTGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGAGTAGGGTATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTTTGCGGTACTTGAC
group.by:Ductal
color:Ductal\",\"Cell:AGAGCTTTCTTGAGGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCACATAAGCAATATG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGGAGATAGTGACATA
group.by:Beta
color:Beta\",\"Cell:TGTGGTACAGTCGATT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TAAGAGACAGTAGAGC
group.by:Beta
color:Beta\",\"Cell:CACATTTTCGAGGTAG
group.by:Beta
color:Beta\",\"Cell:AGACGTTCAATGGTCT
group.by:Beta
color:Beta\",\"Cell:GGAACTTGTCGAACAG
group.by:Ductal
color:Ductal\",\"Cell:TGAGCATGTTAAAGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTGTAGGTCCAAATGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GAGGTGATCTAGCACA
group.by:Ductal
color:Ductal\",\"Cell:CGTAGCGTCACTATTC
group.by:Ductal
color:Ductal\",\"Cell:AAACGGGCACTGTGTA
group.by:Ductal
color:Ductal\",\"Cell:TGCGCAGTCTCTTATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AACACGTTCGGAATCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTGATGGTCGACTGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTTCTGTCCGCGGTA
group.by:Ductal
color:Ductal\",\"Cell:CAGTAACAGCCACCTG
group.by:Beta
color:Beta\",\"Cell:ACTGATGAGTGCAAGC
group.by:Ductal
color:Ductal\",\"Cell:CTGCTGTGTTGTGGCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GAGTCCGCAATTGCTG
group.by:Ductal
color:Ductal\",\"Cell:TTTCCTCTCTGAAAGA
group.by:Ductal
color:Ductal\",\"Cell:CCTCAGTAGCGTAATA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTCATTTGTCTCAACA
group.by:Ductal
color:Ductal\",\"Cell:GACTAACCACTCGACG
group.by:Ductal
color:Ductal\",\"Cell:GGTGAAGAGCAGGTCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GAATAAGTCTGATACG
group.by:Ductal
color:Ductal\",\"Cell:GTGCGGTCACCGAATT
group.by:Alpha
color:Alpha\",\"Cell:CAGGTGCAGACTTGAA
group.by:Ductal
color:Ductal\",\"Cell:GAGGTGAAGCTACCTA
group.by:Ductal
color:Ductal\",\"Cell:CATTCGCGTGCAGACA
group.by:Beta
color:Beta\",\"Cell:ATGTGTGAGTTTGCGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCTATTGCAGTAAGCG
group.by:Beta
color:Beta\",\"Cell:TTGGCAATCGGATGGA
group.by:Alpha
color:Alpha\",\"Cell:CGTCAGGAGTCATCCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CACCACTTCAGCTTAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCCCTAGTATCGCAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGGGCTAGACTTGAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGGCGCAGTGTATGGG
group.by:Ductal
color:Ductal\",\"Cell:CCGTACTGTCAGAAGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATCGATAGAAAGTGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCGGGTTCCAGGGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTCTTCGTCCTACAGA
group.by:Ductal
color:Ductal\",\"Cell:AGGGATGTCGCATGGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCCCTACAATCACAC
group.by:Ductal
color:Ductal\",\"Cell:CCCATACTCGTGGACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACTAACCATGAGCGA
group.by:Alpha
color:Alpha\",\"Cell:TCACAAGAGCCACTAT
group.by:Ductal
color:Ductal\",\"Cell:GGCAATTTCACATGCA
group.by:Delta
color:Delta\",\"Cell:TGGTTCCAGGAATGGA
group.by:Ductal
color:Ductal\",\"Cell:TTCGGTCAGGGCATGT
group.by:Delta
color:Delta\",\"Cell:GCATGTAAGAATCTCC
group.by:Beta
color:Beta\",\"Cell:GTTACAGTCTAGAGTC
group.by:Beta
color:Beta\",\"Cell:GTTCGGGAGTCACGCC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GATCGCGTCTGGAGCC
group.by:Ductal
color:Ductal\",\"Cell:TGTGGTAAGAGGTTAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCGTACTGTTACTGAC
group.by:Ductal
color:Ductal\",\"Cell:TTATGCTTCGTTTAGG
group.by:Beta
color:Beta\",\"Cell:GCATGCGCAAATTGCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAACGACACCATCCT
group.by:Ductal
color:Ductal\",\"Cell:CCTCTGATCATGTCTT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTGAGCTCTTCTGGC
group.by:Alpha
color:Alpha\",\"Cell:CTCAGAATCTTGAGAC
group.by:Beta
color:Beta\",\"Cell:CGTCCATCATGGTAGG
group.by:Ductal
color:Ductal\",\"Cell:TTAGTTCCATGAGCGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCTTGATCAACACGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGCAGCAGAGGTACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATCATGGGTTCTCATT
group.by:Alpha
color:Alpha\",\"Cell:CTAGCCTGTGCGATAG
group.by:Ductal
color:Ductal\",\"Cell:GTGTGCGGTCTCCACT
group.by:Alpha
color:Alpha\",\"Cell:GCATGATCATGCATGT
group.by:Beta
color:Beta\",\"Cell:TACGGTATCCCATTTA
group.by:Beta
color:Beta\",\"Cell:CCTTCGAAGCTAGGCA
group.by:Beta
color:Beta\",\"Cell:AACTGGTGTCGAGTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACCAATGTACGAAAT
group.by:Ductal
color:Ductal\",\"Cell:GTATTCTTCAGGTAAA
group.by:Ductal
color:Ductal\",\"Cell:TACCTATGTAACGTTC
group.by:Ductal
color:Ductal\",\"Cell:TCACAAGCAACGATGG
group.by:Alpha
color:Alpha\",\"Cell:CCCAGTTTCAGCACAT
group.by:Beta
color:Beta\",\"Cell:TGCCAAACATGACATC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTAAGACGTACTCTCC
group.by:Beta
color:Beta\",\"Cell:CGATGGCTCAGTGTTG
group.by:Alpha
color:Alpha\",\"Cell:CCAGCGACAGCGATCC
group.by:Ductal
color:Ductal\",\"Cell:TGAGAGGAGCCAGGAT
group.by:Epsilon
color:Epsilon\",\"Cell:AGAGCGACACAACTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTTTGCGGTCGAATCT
group.by:Beta
color:Beta\",\"Cell:TTTGGTTTCCTTTCGG
group.by:Beta
color:Beta\",\"Cell:GCCTCTAAGTCCGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGATGATCTGTCCGT
group.by:Beta
color:Beta\",\"Cell:CGCTGGACATCCTAGA
group.by:Ductal
color:Ductal\",\"Cell:GCACATATCACGGTTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CATCCACCAGATGGGT
group.by:Alpha
color:Alpha\",\"Cell:TGCCCTATCATAAAGG
group.by:Alpha
color:Alpha\",\"Cell:ACTGTCCAGGTTCCTA
group.by:Ductal
color:Ductal\",\"Cell:GCTGCTTGTCACTTCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACAGAGCAGTCAGAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATCATCTTCAGTCCCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AATCGGTGTCACACGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TACGGATAGTTTAGGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTGTGCGCAGCGATCC
group.by:Beta
color:Beta\",\"Cell:CCACGGAGTCTTGATG
group.by:Ductal
color:Ductal\",\"Cell:GGCTCGACAGCTATTG
group.by:Beta
color:Beta\",\"Cell:AGATTGCCACCAGGCT
group.by:Ductal
color:Ductal\",\"Cell:AGTGTCACACCAGGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACCAGGGTACCTACA
group.by:Ductal
color:Ductal\",\"Cell:GGCCGATTCAGAGACG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCACCTATCTAAGCCA
group.by:Alpha
color:Alpha\",\"Cell:GACTGCGGTCGCCATG
group.by:Beta
color:Beta\",\"Cell:GAATGAACAGCCTTGG
group.by:Ductal
color:Ductal\",\"Cell:CGCTGGAAGGGCATGT
group.by:Ductal
color:Ductal\",\"Cell:CTAATGGCATGGTTGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGAGGATCAATCTCT
group.by:Beta
color:Beta\",\"Cell:AGTCTTTTCGTACGGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCCCAGAGGATTCGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCAATTCATCTCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTGCGGTAGTGAATTG
group.by:Beta
color:Beta\",\"Cell:TACCTATGTCCAACTA
group.by:Delta
color:Delta\",\"Cell:TACTTGTAGACAAAGG
group.by:Beta
color:Beta\",\"Cell:GTCCTCACACCACGTG
group.by:Beta
color:Beta\",\"Cell:TAAACCGCATTCCTCG
group.by:Ductal
color:Ductal\",\"Cell:AACACGTGTCGACTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCAGCTCAGGCTATCT
group.by:Epsilon
color:Epsilon\",\"Cell:CACAGTAGTTCCTCCA
group.by:Ductal
color:Ductal\",\"Cell:TCGCGAGCACACATGT
group.by:Ductal
color:Ductal\",\"Cell:ACGGCCACACGCTTTC
group.by:Ductal
color:Ductal\",\"Cell:AGATTGCCATTCCTGC
group.by:Beta
color:Beta\",\"Cell:CTCAGAATCAGGTTCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGAGGGACAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:TACGGTATCTTTCCTC
group.by:Beta
color:Beta\",\"Cell:GATCGCGAGCGTTGCC
group.by:Delta
color:Delta\",\"Cell:CAGCGACCACAGGAGT
group.by:Ductal
color:Ductal\",\"Cell:TCTTCGGTCTGCTTGC
group.by:Alpha
color:Alpha\",\"Cell:GTCACGGCATACTACG
group.by:Beta
color:Beta\",\"Cell:AAGGCAGTCCGAGCCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGACAGATCCTGCAGG
group.by:Ductal
color:Ductal\",\"Cell:GGCAATTGTCCATCCT
group.by:Alpha
color:Alpha\",\"Cell:AACTTTCCACTGCCAG
group.by:Ductal
color:Ductal\",\"Cell:ACCAGTAGTCATGCCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATCACGAGTGCACCAC
group.by:Beta
color:Beta\",\"Cell:AACACGTGTGACTCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTGAAGTTCTGCGGCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGCGACTCACCAGGTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGGACCTAGCTGCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AATCGGTCAAACAACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGGAGCTGTACATCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATGGCGAGAGTCTGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTGTAATCGTTGACA
group.by:Alpha
color:Alpha\",\"Cell:CGATCGGAGCTGCAAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCACCTAGTACGCGA
group.by:Ductal
color:Ductal\",\"Cell:AGTGTCACATAGTAAG
group.by:Delta
color:Delta\",\"Cell:GAACGGACAAGGTGTG
group.by:Ductal
color:Ductal\",\"Cell:TTGTAGGGTTACGGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGTGAAGGTGCAAC
group.by:Beta
color:Beta\",\"Cell:CTACACCCAGGGCATA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AAGCCGCGTTATCCGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAGCCGCTCTTGCATT
group.by:Alpha
color:Alpha\",\"Cell:AACTGGTTCGTCCAGG
group.by:Epsilon
color:Epsilon\",\"Cell:AAGTCTGGTCTCCATC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGAGTGTGTAAGTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGCTATCAGGTGATAT
group.by:Beta
color:Beta\",\"Cell:AACTCTTAGCTAACAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTGTGCGGTAGTACCT
group.by:Beta
color:Beta\",\"Cell:GGGTCTGCAGCAGTTT
group.by:Epsilon
color:Epsilon\",\"Cell:CGTAGGCCAACACCCG
group.by:Alpha
color:Alpha\",\"Cell:CGAGCACTCTACCTGC
group.by:Ductal
color:Ductal\",\"Cell:CATCGAAAGATGTTAG
group.by:Ductal
color:Ductal\",\"Cell:GCAATCACAGCTGCTG
group.by:Alpha
color:Alpha\",\"Cell:AACACGTAGTAATCCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATCTAGCATCACCCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCTCGACAGCTTCGG
group.by:Beta
color:Beta\",\"Cell:TGTGGTAGTTAGAACA
group.by:Beta
color:Beta\",\"Cell:GAGCAGAAGCCAGTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCGAGGGTAAGTAGT
group.by:Epsilon
color:Epsilon\",\"Cell:GGACAGAGTCAGCTAT
group.by:Alpha
color:Alpha\",\"Cell:ACTTTCAAGGATATAC
group.by:Ductal
color:Ductal\",\"Cell:GATCAGTGTATAATGG
group.by:Ductal
color:Ductal\",\"Cell:CTTCTCTCATGCGCAC
group.by:Alpha
color:Alpha\",\"Cell:AGCGTATCAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:GTACTCCGTAGCGATG
group.by:Beta
color:Beta\",\"Cell:CTGTGCTCAGCTCCGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCTTCGATCAAGAAGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTCTTCGAGCGTGAGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGCTGGACACGGTAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAACCAAAGCGTTCCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATCAGAAGTGGTAAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGAATGTAGTTCCACA
group.by:Ductal
color:Ductal\",\"Cell:GCTGCGACAATCGGTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTATGCTTCCAGTATG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTCTTAGTCGGCGCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCTTGATCTGACCTC
group.by:Ductal
color:Ductal\",\"Cell:CCGTACTGTTCCACTC
group.by:Ductal
color:Ductal\",\"Cell:TAAACCGAGGATGGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTTACCGCAAAGTCAA
group.by:Ductal
color:Ductal\",\"Cell:CGGTTAATCGTCTGAA
group.by:Ductal
color:Ductal\",\"Cell:CTCGTCATCGGTCTAA
group.by:Ductal
color:Ductal\",\"Cell:GTTAAGCTCCGCATAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTCAGGCAATCTGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGGACGCAGCGTCTAT
group.by:Beta
color:Beta\",\"Cell:TGGACGCGTATTCGTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCACGGAAGATCCTGT
group.by:Alpha
color:Alpha\",\"Cell:CTGAAGTTCTTTAGGG
group.by:Beta
color:Beta\",\"Cell:CAGTAACCATGCCTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGTAGTCAGCGTTCCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGAGCCCACCTTGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCGTGGAGGTTCCTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGTGTTTGTATATCCG
group.by:Alpha
color:Alpha\",\"Cell:ATCATCTAGTGATCGG
group.by:Ductal
color:Ductal\",\"Cell:GACGCGTAGACGCACA
group.by:Alpha
color:Alpha\",\"Cell:CCTCAGTGTGATAAGT
group.by:Delta
color:Delta\",\"Cell:AGATTGCCACAAGCCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACGTGCTCCGGCACA
group.by:Alpha
color:Alpha\",\"Cell:TGCGTGGTCTTTACGT
group.by:Beta
color:Beta\",\"Cell:CATCAGATCATCGCTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTTGGCTCATCCCACT
group.by:Beta
color:Beta\",\"Cell:AGCATACGTCGCGAAA
group.by:Epsilon
color:Epsilon\",\"Cell:CTTAACTGTCGGGTCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTTTCTATCAACGGCC
group.by:Beta
color:Beta\",\"Cell:GAGGTGAGTGACAAAT
group.by:Ductal
color:Ductal\",\"Cell:TCTTTCCGTTATGTGC
group.by:Ductal
color:Ductal\",\"Cell:CCCAGTTAGGTGCTAG
group.by:Ductal
color:Ductal\",\"Cell:GAATGAACAATCGAAA
group.by:Ductal
color:Ductal\",\"Cell:CCTACACAGATCCGAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GATGCTACAAGCGCTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTTACAGTCTTGAGAC
group.by:Beta
color:Beta\",\"Cell:AAGACCTAGACCTTTG
group.by:Alpha
color:Alpha\",\"Cell:GACTACACATATGAGA
group.by:Ductal
color:Ductal\",\"Cell:TGTGGTAAGTGGTCCC
group.by:Beta
color:Beta\",\"Cell:CGTTAGATCAGTCAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTGCTTCTCCAAACTG
group.by:Ductal
color:Ductal\",\"Cell:GATGAGGAGAAACCTA
group.by:Beta
color:Beta\",\"Cell:GAAATGATCTTCAACT
group.by:Beta
color:Beta\",\"Cell:GCTCCTAGTCGGGTCT
group.by:Ductal
color:Ductal\",\"Cell:ATCCACCTCATGCAAC
group.by:Alpha
color:Alpha\",\"Cell:CGACCTTCACACAGAG
group.by:Beta
color:Beta\",\"Cell:GCGCAGTGTACGCACC
group.by:Beta
color:Beta\",\"Cell:GCACTCTTCCGGCACA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTACTCCTCTCTTATG
group.by:Alpha
color:Alpha\",\"Cell:CACATAGTCATTGCGA
group.by:Beta
color:Beta\",\"Cell:CTGAAACGTATGGTTC
group.by:Delta
color:Delta\",\"Cell:CGTGAGCAGTCTCAAC
group.by:Ductal
color:Ductal\",\"Cell:CCTTTCTTCTTCGAGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTGAAACGTAGCGCAA
group.by:Beta
color:Beta\",\"Cell:TTGGAACGTCCGTTAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATTATCAGCTCCCAG
group.by:Delta
color:Delta\",\"Cell:CGGAGTCCATAACCTG
group.by:Alpha
color:Alpha\",\"Cell:GTGCAGCTCGTTTATC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGCCAGGTTCTGAAC
group.by:Ductal
color:Ductal\",\"Cell:CAACCTCAGCGTGAAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AACTGGTGTACCGTTA
group.by:Delta
color:Delta\",\"Cell:CGATTGAAGTTAGCGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGCGTGTCACCAGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGACGTCCAGTATCTG
group.by:Ductal
color:Ductal\",\"Cell:TTCGGTCAGGTCGGAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTAGGACAGGTCATCT
group.by:Alpha
color:Alpha\",\"Cell:CAAGGCCTCGTACCGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TAAGCGTCAATGCCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCAAACTTCGGAATCT
group.by:Alpha
color:Alpha\",\"Cell:TGACTAGCACGGTGTC
group.by:Ductal
color:Ductal\",\"Cell:GGGACCTGTTGGACCC
group.by:Epsilon
color:Epsilon\",\"Cell:CTCGAGGTCAACTCTT
group.by:Ductal
color:Ductal\",\"Cell:GAATGAATCATCGGAT
group.by:Beta
color:Beta\",\"Cell:TGGTTAGCAGTCGTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCTAATAGTTATCGC
group.by:Alpha
color:Alpha\",\"Cell:AACTCTTAGCTGCGAA
group.by:Ductal
color:Ductal\",\"Cell:GGGCACTTCACGAAGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTGTCTGTAGTGAAT
group.by:Ductal
color:Ductal\",\"Cell:GGGTTGCTCCCAGGTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATCCGAACACGGTAGA
group.by:Ductal
color:Ductal\",\"Cell:TTCTCAATCACTCCTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGATGTCCCTAACC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGTCTTTGTCTAAACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCGCGAGTCGACGGAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAATGCCAGACTAAGT
group.by:Beta
color:Beta\",\"Cell:TACGGGCAGATTACCC
group.by:Ductal
color:Ductal\",\"Cell:AACTCTTCATTTGCCC
group.by:Beta
color:Beta\",\"Cell:CAGCTGGTCGCCGTGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACATAGAGGGAAACA
group.by:Alpha
color:Alpha\",\"Cell:ACAGCCGCATCGTCGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCGCAGTGTCCTAGCG
group.by:Ductal
color:Ductal\",\"Cell:AAGGCAGCAGTACACT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGGTTCCTCAACCATG
group.by:Alpha
color:Alpha\",\"Cell:GTGTTAGAGTTTCCTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTTCTCTAGTACTTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACATTTGTATAGTAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTGCATAAGAATGTTG
group.by:Ductal
color:Ductal\",\"Cell:GGACATTAGAAACCAT
group.by:Ductal
color:Ductal\",\"Cell:TCTCTAAGTGGCAAAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGATACTCGCGCCAA
group.by:Alpha
color:Alpha\",\"Cell:GAATAAGCACGAAATA
group.by:Beta
color:Beta\",\"Cell:CATGACACATCCGCGA
group.by:Ductal
color:Ductal\",\"Cell:ACGGGTCAGGGTGTTG
group.by:Ductal
color:Ductal\",\"Cell:GATCAGTTCGGCGCAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ACTGTCCGTGCGATAG
group.by:Ductal
color:Ductal\",\"Cell:CGTTGGGGTTTAAGCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACTCAGTCTGGTTCC
group.by:Ductal
color:Ductal\",\"Cell:TAAGCGTAGATCGATA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTTCTGTCACAATGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGACCTGTCAGCTAT
group.by:Alpha
color:Alpha\",\"Cell:ATGCGATAGAAACGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TATGCCCTCTTCCTTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCACCTATCGGAAACG
group.by:Alpha
color:Alpha\",\"Cell:CGATGGCCAACTGGCC
group.by:Beta
color:Beta\",\"Cell:CAGCCGAGTAGCCTAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGAAAGTGGTGTAG
group.by:Alpha
color:Alpha\",\"Cell:TGCGGGTTCTCAAACG
group.by:Ductal
color:Ductal\",\"Cell:TACGGATTCCAAGTAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTTGCGCAGCAACGGT
group.by:Alpha
color:Alpha\",\"Cell:CCTACACCATTATCTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTGAAACTCTGTTTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCATGTCTCCGCATAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGCCGAAGTAGGTGC
group.by:Ductal
color:Ductal\",\"Cell:TGACGGCGTCAGGACA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGATGCACATGACT
group.by:Beta
color:Beta\",\"Cell:ATCATCTGTAGGACAC
group.by:Delta
color:Delta\",\"Cell:ATCTGCCGTCATATGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TACACGAAGATCCCAT
group.by:Alpha
color:Alpha\",\"Cell:CATCCACGTTACGACT
group.by:Beta
color:Beta\",\"Cell:AGATCTGCACCAGGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCAGCCGTCGAACAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTGCAGCAATCCAAC
group.by:Ductal
color:Ductal\",\"Cell:GGGCACTCAATGAAAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTGCTTCTCACGACTA
group.by:Beta
color:Beta\",\"Cell:GATCGTACAGGCGATA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGCGAAGAACAACT
group.by:Alpha
color:Alpha\",\"Cell:CTACACCCATCAGTCA
group.by:Beta
color:Beta\",\"Cell:AACACGTGTCGGCTCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGCTTCATCAGTTCGA
group.by:Ductal
color:Ductal\",\"Cell:ATAGACCAGTGATCGG
group.by:Alpha
color:Alpha\",\"Cell:GACACGCAGTATGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGGGTCCATGATCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTCTACTCAGTCCCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTATGCTCACTACAGT
group.by:Beta
color:Beta\",\"Cell:GATCAGTTCCCGGATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATCTAGGTGCCTTGG
group.by:Ductal
color:Ductal\",\"Cell:AAAGTAGGTCAGATAA
group.by:Beta
color:Beta\",\"Cell:CTCGTACGTTGGTTTG
group.by:Alpha
color:Alpha\",\"Cell:TTGGCAATCGAACGGA
group.by:Ductal
color:Ductal\",\"Cell:CATCGAAGTTACGCGC
group.by:Ductal
color:Ductal\",\"Cell:ACGCAGCGTCAACTGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTCAAGTCAAAGTGCG
group.by:Ductal
color:Ductal\",\"Cell:GAAGCAGGTCTAGAGG
group.by:Epsilon
color:Epsilon\",\"Cell:CCCAGTTGTGCGCTTG
group.by:Beta
color:Beta\",\"Cell:ATTCTACGTTTAGGAA
group.by:Beta
color:Beta\",\"Cell:GGGAATGCACATTTCT
group.by:Ductal
color:Ductal\",\"Cell:CCTTCGATCCTGCTTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAGCTAAAGAGCCCAA
group.by:Ductal
color:Ductal\",\"Cell:GTGCAGCGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:AACGTTGCATGGGACA
group.by:Ductal
color:Ductal\",\"Cell:TGTGTTTTCATTCACT
group.by:Alpha
color:Alpha\",\"Cell:GATGCTATCCCTCTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCGCGAGTCAACGCTA
group.by:Ductal
color:Ductal\",\"Cell:TTAACTCCACGCCAGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTGCGGTTCTGATTCT
group.by:Beta
color:Beta\",\"Cell:GCTGGGTCACGAGGTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCTATTGGTCTAGCCG
group.by:Beta
color:Beta\",\"Cell:TCACGAACAGGCGATA
group.by:Alpha
color:Alpha\",\"Cell:CGAACATTCACAAACC
group.by:Ductal
color:Ductal\",\"Cell:TCTATTGTCACATAGC
group.by:Ductal
color:Ductal\",\"Cell:ACTTTCAAGACACTAA
group.by:Alpha
color:Alpha\",\"Cell:GCGAGAAGTGGGTATG
group.by:Alpha
color:Alpha\",\"Cell:TTCTCAAAGTACGCGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGAGGTCTGTTGAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACATACGAGCTATGCT
group.by:Alpha
color:Alpha\",\"Cell:ACGATACAGTCATCCA
group.by:Epsilon
color:Epsilon\",\"Cell:ACGCAGCGTTCATGGT
group.by:Epsilon
color:Epsilon\",\"Cell:TTAACTCCACGAGAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGGCTAGAGGCACATG
group.by:Beta
color:Beta\",\"Cell:TGAGCATTCGGGAGTA
group.by:Ductal
color:Ductal\",\"Cell:CTCGAAATCGCAAACT
group.by:Alpha
color:Alpha\",\"Cell:TTAGGCAGTTAAGAAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTGTAGGCATACTCTT
group.by:Ductal
color:Ductal\",\"Cell:GTAACGTGTCACTGGC
group.by:Ductal
color:Ductal\",\"Cell:AATCGGTCATATGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGTGCGTGTCCGAGTC
group.by:Ductal
color:Ductal\",\"Cell:AACACGTTCCGCGCAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCTTCCCCAAAGTGCG
group.by:Ductal
color:Ductal\",\"Cell:GTAACTGAGCCGGTAA
group.by:Beta
color:Beta\",\"Cell:AGCATACCAATGCCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATCAAGGTGGTCTCG
group.by:Beta
color:Beta\",\"Cell:AGTCTTTGTCTCGTTC
group.by:Alpha
color:Alpha\",\"Cell:CTGATAGAGCTCAACT
group.by:Ductal
color:Ductal\",\"Cell:TCTTTCCTCGTCTGCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCTTCGATCTCCAACC
group.by:Beta
color:Beta\",\"Cell:GAGGTGAGTCCGAGTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTGTAACATGGTCTA
group.by:Beta
color:Beta\",\"Cell:GTTCATTAGGGTCTCC
group.by:Ductal
color:Ductal\",\"Cell:GCGACCATCACCAGGC
group.by:Alpha
color:Alpha\",\"Cell:GTACTTTCATGGTCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAGCAAAGCGATGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCACAAGTCTGGTTCC
group.by:Alpha
color:Alpha\",\"Cell:TAGACCATCTTATCTG
group.by:Alpha
color:Alpha\",\"Cell:AGACGTTAGCCGATTT
group.by:Alpha
color:Alpha\",\"Cell:GAACCTACAGCGATCC
group.by:Alpha
color:Alpha\",\"Cell:CCAATCCAGAGTAAGG
group.by:Ductal
color:Ductal\",\"Cell:AAACGGGGTACAGTTC
group.by:Beta
color:Beta\",\"Cell:CAGGTGCGTACAAGTA
group.by:Beta
color:Beta\",\"Cell:GCTCCTATCTCACATT
group.by:Ductal
color:Ductal\",\"Cell:TATCAGGCACCAGTTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCTACCCATAAGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATTCAGAGTACGTTC
group.by:Alpha
color:Alpha\",\"Cell:CGGACTGCATCCCATC
group.by:Beta
color:Beta\",\"Cell:GCGCCAACACCTCGGA
group.by:Beta
color:Beta\",\"Cell:AGGTCATTCTGCGTAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTACCCAGTCAAACTC
group.by:Ductal
color:Ductal\",\"Cell:TGGCCAGAGCTACCTA
group.by:Ductal
color:Ductal\",\"Cell:TGTCCCACACGGTAGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATGTGTGAGGAATTAC
group.by:Epsilon
color:Epsilon\",\"Cell:TACAGTGAGCGTTTAC
group.by:Epsilon
color:Epsilon\",\"Cell:CGATTGAAGTCTTGCA
group.by:Ductal
color:Ductal\",\"Cell:TTCGGTCGTCACAAGG
group.by:Ductal
color:Ductal\",\"Cell:GTCTCGTCACGTGAGA
group.by:Ductal
color:Ductal\",\"Cell:CTTCTCTCAGCATACT
group.by:Beta
color:Beta\",\"Cell:GCTTGAACATTTGCTT
group.by:Alpha
color:Alpha\",\"Cell:AGAGCTTGTTAAAGAC
group.by:Ductal
color:Ductal\",\"Cell:GCTCTGTTCGCTTAGA
group.by:Ductal
color:Ductal\",\"Cell:GATCAGTAGGTTCCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTACTTTAGATATGCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATGTGTGTCAAAGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAGATGGTAGATTAG
group.by:Beta
color:Beta\",\"Cell:TGTCCCAAGTTTAGGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTGATCCTCAGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:CTAAGACTCACTCCTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACAGTATCTTAGAGC
group.by:Ductal
color:Ductal\",\"Cell:CACACCTCATTGTGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTAGGCAGTAGCGTAG
group.by:Ductal
color:Ductal\",\"Cell:ACTGAACAGTACATGA
group.by:Ductal
color:Ductal\",\"Cell:TATTACCAGATGGGTC
group.by:Alpha
color:Alpha\",\"Cell:GGAAAGCGTACGCACC
group.by:Ductal
color:Ductal\",\"Cell:GGGCATCCATTTCAGG
group.by:Alpha
color:Alpha\",\"Cell:CCCTCCTGTCTAACGT
group.by:Ductal
color:Ductal\",\"Cell:TTAGGCAGTGTGAATA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCGGTAACAGGGTACA
group.by:Alpha
color:Alpha\",\"Cell:AGGGAGTCACCGAATT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTGGGTCGTAGGAGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GAACGGAAGACGCTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGCTTGTCTTCAAG
group.by:Ductal
color:Ductal\",\"Cell:ATAAGAGTCCACGTTC
group.by:Ductal
color:Ductal\",\"Cell:GATCGTAAGTAGGTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCGTGGAGGTAAACT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CACCACTGTCGGCTCA
group.by:Ductal
color:Ductal\",\"Cell:ACGAGCCCACTCTGTC
group.by:Ductal
color:Ductal\",\"Cell:GCATGTATCACGATGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTAGGACAGATGGGTC
group.by:Alpha
color:Alpha\",\"Cell:CGCGTTTGTATTACCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGCTCAGGTGTTAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGCAGCATTCTCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACAGTATCAGAGGTG
group.by:Ductal
color:Ductal\",\"Cell:TTCGAAGTCAACGCTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGGACGCAGATTACCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTGAACGGTGATGCCC
group.by:Ductal
color:Ductal\",\"Cell:ATCATGGTCCAGAGGA
group.by:Ductal
color:Ductal\",\"Cell:AGCTTGACAGTAAGAT
group.by:Ductal
color:Ductal\",\"Cell:CATCGAAGTAGCGTCC
group.by:Beta
color:Beta\",\"Cell:TGGACGCTCTTGTTTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGAGTGGGTCACCTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTCAGGCAAACGCGA
group.by:Alpha
color:Alpha\",\"Cell:CGTCACTGTCAGGACA
group.by:Ductal
color:Ductal\",\"Cell:GCGACCACACGTTGGC
group.by:Alpha
color:Alpha\",\"Cell:CCATGTCGTTTGCATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCCAAAAGCGCTTAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACTCAGAGGTAGCCA
group.by:Alpha
color:Alpha\",\"Cell:ACAGCCGAGAGAACAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGGAGCTGTTCTGAAC
group.by:Ductal
color:Ductal\",\"Cell:CAACTAGAGCTTCGCG
group.by:Ductal
color:Ductal\",\"Cell:CGGACTGCAGCCAATT
group.by:Beta
color:Beta\",\"Cell:GACCAATAGCCGGTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGACGTCGTCAGAAGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGTCCGAGTTACCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGAAAGCGTCTTGATG
group.by:Ductal
color:Ductal\",\"Cell:CCGGGATGTACCGCTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CATCCACAGTCACGCC
group.by:Ductal
color:Ductal\",\"Cell:CGCTATCCAGGCAGTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAGGTACACTGTCGG
group.by:Ductal
color:Ductal\",\"Cell:GGCGTGTTCTCGTATT
group.by:Beta
color:Beta\",\"Cell:CGGACGTAGACAGACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGTTGGTTCACATAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTGGGTCGTCCAGTAT
group.by:Alpha
color:Alpha\",\"Cell:TATGCCCAGGGTATCG
group.by:Beta
color:Beta\",\"Cell:GGGCATCCATGACATC
group.by:Ductal
color:Ductal\",\"Cell:AGAGTGGCACCTCGGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACCCACTTCTGAGGGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TATTACCTCGTTGCCT
group.by:Alpha
color:Alpha\",\"Cell:ACGATGTTCGCAGGCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGACAACTCGCACTCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACGCGTCATTTCAGG
group.by:Ductal
color:Ductal\",\"Cell:CATATGGTCAACACAC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGTGGGAGTGGTCCGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ATTGGTGTCCAGTATG
group.by:Ductal
color:Ductal\",\"Cell:GATGCTAAGCGATAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGCACTTCTAACTGG
group.by:Ductal
color:Ductal\",\"Cell:TTCTCAACAGTTTACG
group.by:Ductal
color:Ductal\",\"Cell:TCACAAGAGCATGGCA
group.by:Alpha
color:Alpha\",\"Cell:GGAATAACACGACGAA
group.by:Ductal
color:Ductal\",\"Cell:GGGAGATGTTAAAGAC
group.by:Epsilon
color:Epsilon\",\"Cell:AACTTTCGTGACCAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGAGAAGCACTTACGA
group.by:Beta
color:Beta\",\"Cell:AACTCCCAGTACGACG
group.by:Beta
color:Beta\",\"Cell:CGTTAGAAGTATCTCG
group.by:Ductal
color:Ductal\",\"Cell:CCTATTACAAACGTGG
group.by:Ductal
color:Ductal\",\"Cell:GCTGCTTAGATCTGCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCATTCGCAAGCCATT
group.by:Beta
color:Beta\",\"Cell:GTATCTTGTACTCAAC
group.by:Alpha
color:Alpha\",\"Cell:TGCTACCCAGGGCATA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGAACTTAGGTTACCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGATTGCAGCTAGTCT
group.by:Ductal
color:Ductal\",\"Cell:TTAGGACGTTCAGTAC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGGCGCATCACATAGC
group.by:Beta
color:Beta\",\"Cell:CTTTGCGAGGAATGGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ATTATCCCAACTGCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGGCCACCAACTGCGC
group.by:Alpha
color:Alpha\",\"Cell:AAACGGGCAAAGAATC
group.by:Beta
color:Beta\",\"Cell:AGTCTTTAGTCTCGGC
group.by:Alpha
color:Alpha\",\"Cell:TCTGGAAGTCATCGGC
group.by:Beta
color:Beta\",\"Cell:AAATGCCCACCAACCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATTCGCTCGCTTGTC
group.by:Alpha
color:Alpha\",\"Cell:GGTGTTACACCTCGGA
group.by:Epsilon
color:Epsilon\",\"Cell:CTCGAGGCAAGTCTGT
group.by:Alpha
color:Alpha\",\"Cell:CGGACTGTCGGACAAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACCAGTAGTTCGTTGA
group.by:Beta
color:Beta\",\"Cell:CGTCACTCATAGTAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TTTGGTTCAAATTGCC
group.by:Beta
color:Beta\",\"Cell:ATTGGTGGTACTTGAC
group.by:Ductal
color:Ductal\",\"Cell:GCCTCTAAGAGTTGGC
group.by:Beta
color:Beta\",\"Cell:CGGCTAGGTAACGACG
group.by:Beta
color:Beta\",\"Cell:AAAGATGAGTCATGCT
group.by:Beta
color:Beta\",\"Cell:GTACTCCCACGTCTCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TTGAACGAGGAATCGC
group.by:Alpha
color:Alpha\",\"Cell:TGAGCCGTCGATAGAA
group.by:Beta
color:Beta\",\"Cell:CTCTAATTCAGCGACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TATGCCCAGAACAATC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACCATGGTTGAACTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGCATAGTAATAGCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGAGTTCCTCAATT
group.by:Beta
color:Beta\",\"Cell:CTCAGAATCTGGCGAC
group.by:Ductal
color:Ductal\",\"Cell:ATCACGATCACGGTTA
group.by:Beta
color:Beta\",\"Cell:GAGCAGAGTTTGCATG
group.by:Beta
color:Beta\",\"Cell:TGCACCTAGATAGTCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGCCGAAGTGACTCT
group.by:Ductal
color:Ductal\",\"Cell:GAATGAATCTGGTATG
group.by:Ductal
color:Ductal\",\"Cell:AGCTCCTAGTACACCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CATGCCTAGCGATGAC
group.by:Ductal
color:Ductal\",\"Cell:TCCACACTCACGATGT
group.by:Beta
color:Beta\",\"Cell:TCAGATGCACGACGAA
group.by:Delta
color:Delta\",\"Cell:CAGCTGGGTCTAACGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCAGAATCAACACTG
group.by:Ductal
color:Ductal\",\"Cell:CTTAGGACATCTATGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGAGCGAAGTAGATGT
group.by:Ductal
color:Ductal\",\"Cell:ATCTACTGTGAACCTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGATGTAGTGGTACAG
group.by:Beta
color:Beta\",\"Cell:CTAGCCTGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:TCTGAGATCTGAGTGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AACTGGTTCGTGACAT
group.by:Ductal
color:Ductal\",\"Cell:AGATTGCTCCATGAGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAGCTAAGTACCGAGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTGAGTGTTTCGCTC
group.by:Ductal
color:Ductal\",\"Cell:AGAGCGATCTCTTGAT
group.by:Ductal
color:Ductal\",\"Cell:GAAGCAGTCAAGGCTT
group.by:Ductal
color:Ductal\",\"Cell:GTCGTAAAGGTGATTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACACTCAGGCGCTCT
group.by:Ductal
color:Ductal\",\"Cell:TGGGAAGGTCATGCAT
group.by:Beta
color:Beta\",\"Cell:CGCGGTACATTAGGCT
group.by:Alpha
color:Alpha\",\"Cell:GAATGAAAGAATGTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATGCCTGTTCGTCTC
group.by:Beta
color:Beta\",\"Cell:CTGGTCTTCGTTACAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCTCTAAAGCTGGAAC
group.by:Beta
color:Beta\",\"Cell:CGGTTAAAGTAGCGGT
group.by:Delta
color:Delta\",\"Cell:GAACGGAAGGAGCGAG
group.by:Beta
color:Beta\",\"Cell:CCTTACGCAAGGTGTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGGCCACCACGAAGCA
group.by:Epsilon
color:Epsilon\",\"Cell:CAACCTCGTCTAAACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCGGTCGTACCGAGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGTCATCTTCTGGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGCGTGGCAGTATAAG
group.by:Alpha
color:Alpha\",\"Cell:GGCCGATGTCAAACTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCTACAGTGTTGAGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AAAGTAGAGCGCCTTG
group.by:Beta
color:Beta\",\"Cell:GATCGATCAGTCGATT
group.by:Alpha
color:Alpha\",\"Cell:TTGGCAACATCATCCC
group.by:Epsilon
color:Epsilon\",\"Cell:TTTATGCTCCATTCTA
group.by:Ductal
color:Ductal\",\"Cell:AACTTTCAGGCATTGG
group.by:Beta
color:Beta\",\"Cell:GCCTCTAGTGACTACT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGGGTCAGATGGCGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TACGGTAGTGTGCCTG
group.by:Beta
color:Beta\",\"Cell:ACTGCTCAGATATGCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGCGTGTTCGTGGGAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAGCCGCAGGAGTTGC
group.by:Beta
color:Beta\",\"Cell:CTGAAACAGGAGTAGA
group.by:Alpha
color:Alpha\",\"Cell:CATGGCGAGCCCTAAT
group.by:Beta
color:Beta\",\"Cell:ACATGGTCAAGGACTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGCGTGTGTCCGACGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GACGTGCTCCTCTAGC
group.by:Ductal
color:Ductal\",\"Cell:TTAACTCCAAAGAATC
group.by:Ductal
color:Ductal\",\"Cell:GCTCTGTAGCCACCTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATGTGTGCATGGGACA
group.by:Alpha
color:Alpha\",\"Cell:CGTGAGCTCACAGGCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTGAACGTCATCGATG
group.by:Beta
color:Beta\",\"Cell:AAGACCTAGGTGTGGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAGGTACACGGCCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTGTAATCCATGCTC
group.by:Ductal
color:Ductal\",\"Cell:ACTGATGCATCAGTAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGATGAAGGGCATGT
group.by:Alpha
color:Alpha\",\"Cell:CTCGTACGTTCCGTCT
group.by:Ductal
color:Ductal\",\"Cell:ACGAGGACATGGTTGT
group.by:Alpha
color:Alpha\",\"Cell:ATCTGCCGTCAGAAGC
group.by:Alpha
color:Alpha\",\"Cell:CGTTCTGAGAGCAATT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACACAACACACTGCG
group.by:Ductal
color:Ductal\",\"Cell:TAGGCATTCGTTGCCT
group.by:Beta
color:Beta\",\"Cell:TCTCTAATCAAAGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACACCCTGTCAGATAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGATCTGTCGATCCCT
group.by:Beta
color:Beta\",\"Cell:TCTGAGATCTTGCAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGACTAGCAAAGGTGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TAGAGCTTCTCGCTTG
group.by:Alpha
color:Alpha\",\"Cell:CTACGTCAGTCTCGGC
group.by:Beta
color:Beta\",\"Cell:CATCCACTCTTCTGGC
group.by:Ductal
color:Ductal\",\"Cell:TCTCATACAGATCTGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CACACCTCACTGCCAG
group.by:Alpha
color:Alpha\",\"Cell:CTCGTACCAATGGATA
group.by:Ductal
color:Ductal\",\"Cell:ACACCAAAGTAGGCCA
group.by:Beta
color:Beta\",\"Cell:TACACGAGTGCAACTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTGCGAAGTATTGGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGACGTTTCGAGCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGAGAGGTGTGAATA
group.by:Epsilon
color:Epsilon\",\"Cell:GCACTCTGTCTGCAAT
group.by:Beta
color:Beta\",\"Cell:TGTGGTACAAGACGTG
group.by:Ductal
color:Ductal\",\"Cell:AGGCCGTCACGACGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TATGCCCTCTTACCTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AATCGGTCATGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:AGTCTTTCACGGACAA
group.by:Alpha
color:Alpha\",\"Cell:GTCGGGTGTGCAACTT
group.by:Alpha
color:Alpha\",\"Cell:TCTGAGATCGTAGGTT
group.by:Ductal
color:Ductal\",\"Cell:CGTCTACGTTTCCACC
group.by:Beta
color:Beta\",\"Cell:CCTAGCTCAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:AGCTCTCAGACATAAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCGAGGAGTGGAGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTGATAGTCGGCTACG
group.by:Ductal
color:Ductal\",\"Cell:TTGTAGGGTTGTTTGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGAGCACGTCCATCCT
group.by:Ductal
color:Ductal\",\"Cell:CATGACAGTCATGCAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCGGAGAGAATGTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GACCAATAGAATGTGT
group.by:Beta
color:Beta\",\"Cell:CAGCGACCATATGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCTGCTGTCCGTCAG
group.by:Ductal
color:Ductal\",\"Cell:TCAGATGCACTCGACG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TATCAGGGTCGAATCT
group.by:Ductal
color:Ductal\",\"Cell:GGGAATGGTCGGCTCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TAGTTGGAGTCAAGCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TACCTATTCGTTACGA
group.by:Beta
color:Beta\",\"Cell:CGTCACTCAAAGGTGC
group.by:Ductal
color:Ductal\",\"Cell:TGAGGGAAGCCGGTAA
group.by:Beta
color:Beta\",\"Cell:CGTGTCTTCCTTTCGG
group.by:Ductal
color:Ductal\",\"Cell:TGATTTCAGTGGAGTC
group.by:Beta
color:Beta\",\"Cell:CTAACTTAGATCACGG
group.by:Beta
color:Beta\",\"Cell:CATCAGAGTCCGAATT
group.by:Ductal
color:Ductal\",\"Cell:GAAATGATCGTCCGTT
group.by:Alpha
color:Alpha\",\"Cell:TGCGGGTTCCACTCCA
group.by:Epsilon
color:Epsilon\",\"Cell:GTTCGGGAGGCAATTA
group.by:Alpha
color:Alpha\",\"Cell:GCGCCAATCGGACAAG
group.by:Ductal
color:Ductal\",\"Cell:AGTGGGATCAACTCTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGACTTCGTTGATTCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATCAGTGTAACGACG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGAGCCGTCTCTGAGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTTGCGCTCTTCCTTC
group.by:Epsilon
color:Epsilon\",\"Cell:ACTGATGGTTCCTCCA
group.by:Alpha
color:Alpha\",\"Cell:AAGGAGCAGTACATGA
group.by:Alpha
color:Alpha\",\"Cell:CAGCTAAAGCGCTTAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TACTTACGTGTGGCTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATGCGATTCGCGTAGC
group.by:Alpha
color:Alpha\",\"Cell:ATTGGACAGTCAAGGC
group.by:Ductal
color:Ductal\",\"Cell:ACGCCAGTCCGCTGTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCGGGTAGACGCACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATGAGGGGTTCTGGTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGACCTTAGCTGCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTAACGTGTGCCTGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTCTGTAGCTGAACG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTATTCTAGGTGCTTT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCTGGAATCGGTGTCG
group.by:Ductal
color:Ductal\",\"Cell:GACGTTAAGACGCAAC
group.by:Ductal
color:Ductal\",\"Cell:AGGCCGTAGAGGACGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ATGAGGGCAAGGTTTC
group.by:Beta
color:Beta\",\"Cell:GTGCGGTCAAAGCAAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATCGGGTCATTTGGG
group.by:Alpha
color:Alpha\",\"Cell:ACATACGGTAAACACA
group.by:Beta
color:Beta\",\"Cell:CTGCTGTGTTATCACG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TAGAGCTAGTGCCATT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCACGGAGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:CCATTCGCATGAAGTA
group.by:Ductal
color:Ductal\",\"Cell:CATTCGCTCTGCTGCT
group.by:Alpha
color:Alpha\",\"Cell:ACGATGTTCTGCTGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCGCAGTCACCATCCT
group.by:Ductal
color:Ductal\",\"Cell:TAGTTGGGTACCGTAT
group.by:Ductal
color:Ductal\",\"Cell:GCGCAACCAACACCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCAGCGAGTACCGTAT
group.by:Alpha
color:Alpha\",\"Cell:AGCGTATCATCTCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AATCGGTTCCAAACTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGCAGCCATTCTCAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GAATGAATCCTGTAGA
group.by:Beta
color:Beta\",\"Cell:GGAAAGCTCTCGGACG
group.by:Ductal
color:Ductal\",\"Cell:ACTGATGGTCCGACGT
group.by:Beta
color:Beta\",\"Cell:GTAACGTCAGCCTATA
group.by:Beta
color:Beta\",\"Cell:GGGAGATAGCGTTCCG
group.by:Beta
color:Beta\",\"Cell:TACGGATTCTAACTCT
group.by:Beta
color:Beta\",\"Cell:GAAATGACATCTACGA
group.by:Alpha
color:Alpha\",\"Cell:GTGTGCGTCTCTGAGA
group.by:Ductal
color:Ductal\",\"Cell:TCTCATAGTTACCAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGTCAACACGGTGTC
group.by:Ductal
color:Ductal\",\"Cell:ACTGATGTCTAGAGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGTATTCCAATGACCT
group.by:Ductal
color:Ductal\",\"Cell:AGGGAGTAGCTAGCCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCACTACAGAGCTGGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGCAATTTCCGAATGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATCGTAGTCCTAGCG
group.by:Ductal
color:Ductal\",\"Cell:TGAGCATCAAGCCGCT
group.by:Alpha
color:Alpha\",\"Cell:AACTGGTGTACAGTGG
group.by:Ductal
color:Ductal\",\"Cell:TGTGTTTAGCAGGCTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCACTACGTTAAGAAC
group.by:Alpha
color:Alpha\",\"Cell:GGAAAGCAGGCATGGT
group.by:Beta
color:Beta\",\"Cell:ACAGCTATCGAGCCCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCGAAAGTAAAGTCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TAAACCGAGTCGTACT
group.by:Ductal
color:Ductal\",\"Cell:CTCGGAGTCATCGCTC
group.by:Beta
color:Beta\",\"Cell:CACCACTCACGAAATA
group.by:Alpha
color:Alpha\",\"Cell:CGTAGGCTCGCGCCAA
group.by:Ductal
color:Ductal\",\"Cell:TCGCGTTTCTCTGCTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGACAAGTCCGCGGTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGTTCTGAGCCCAGCT
group.by:Beta
color:Beta\",\"Cell:TCACGAATCCTATGTT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ACGCAGCGTGGCTCCA
group.by:Beta
color:Beta\",\"Cell:ACAGCTATCAAGGCTT
group.by:Alpha
color:Alpha\",\"Cell:ATAACGCAGCGTGAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATTCTACTCAGGTAAA
group.by:Ductal
color:Ductal\",\"Cell:CTGATCCCAAGCGTAG
group.by:Ductal
color:Ductal\",\"Cell:TCTTCGGTCTGGCGTG
group.by:Delta
color:Delta\",\"Cell:TGCCCTAAGTCCGGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGGAATGAGGAGCGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CACAGGCTCAAGATCC
group.by:Beta
color:Beta\",\"Cell:ACGAGCCAGTTCGCAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGGGTTCGCCATAA
group.by:Beta
color:Beta\",\"Cell:CCACTACAGAGTACCG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGCCTAAAGCCCAACC
group.by:Ductal
color:Ductal\",\"Cell:AAGGCAGGTCTAGCCG
group.by:Alpha
color:Alpha\",\"Cell:AGTGGGACAGTATCTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAACCAATCGGGAGTA
group.by:Ductal
color:Ductal\",\"Cell:TGTCCCATCTTGACGA
group.by:Ductal
color:Ductal\",\"Cell:CGTCCATCAGTCGTGC
group.by:Beta
color:Beta\",\"Cell:GTTTCTAGTCCTCTTG
group.by:Alpha
color:Alpha\",\"Cell:GCACATACATTACGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATGGGAGTCGGTTCGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ATAAGAGTCCGAACGC
group.by:Ductal
color:Ductal\",\"Cell:ACGCCGAAGCTTCGCG
group.by:Alpha
color:Alpha\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"color\":[\"Ductal\",\"Pre-endocrine\",\"Ngn3 low EP\",\"Beta\",\"Ductal\",\"Ductal\",\"Ngn3 high EP\",\"Beta\",\"Beta\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Alpha\",\"Ductal\",\"Ngn3 low EP\",\"Beta\",\"Ngn3 high EP\",\"Ductal\",\"Epsilon\",\"Delta\",\"Beta\",\"Epsilon\",\"Beta\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Alpha\",\"Beta\",\"Epsilon\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Pre-endocrine\",\"Epsilon\",\"Beta\",\"Ngn3 high EP\",\"Ngn3 low EP\",\"Beta\",\"Beta\",\"Beta\",\"Ductal\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Alpha\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Beta\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Beta\",\"Alpha\",\"Beta\",\"Beta\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Alpha\",\"Beta\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Ductal\",\"Ngn3 low EP\",\"Beta\",\"Alpha\",\"Alpha\",\"Ductal\",\"Ngn3 high EP\",\"Beta\",\"Ngn3 high EP\",\"Alpha\",\"Alpha\",\"Ductal\",\"Ngn3 high EP\",\"Beta\",\"Ngn3 low EP\",\"Ductal\",\"Alpha\",\"Pre-endocrine\",\"Epsilon\",\"Epsilon\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ductal\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Delta\",\"Ductal\",\"Alpha\",\"Ductal\",\"Beta\",\"Beta\",\"Beta\",\"Ngn3 high EP\",\"Beta\",\"Ductal\",\"Ductal\",\"Alpha\",\"Epsilon\",\"Pre-endocrine\",\"Ductal\",\"Pre-endocrine\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Alpha\",\"Ductal\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Beta\",\"Pre-endocrine\",\"Ductal\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ductal\",\"Beta\",\"Ngn3 low EP\",\"Delta\",\"Beta\",\"Ngn3 low EP\",\"Ngn3 low EP\",\"Beta\",\"Ductal\",\"Ductal\",\"Pre-endocrine\",\"Beta\",\"Ngn3 low EP\",\"Epsilon\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ductal\",\"Delta\",\"Ductal\",\"Ngn3 low EP\",\"Ductal\",\"Ductal\",\"Alpha\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Beta\",\"Ngn3 high EP\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Delta\",\"Pre-endocrine\",\"Pre-endocrine\",\"Alpha\",\"Beta\",\"Alpha\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Alpha\",\"Beta\",\"Pre-endocrine\",\"Alpha\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Epsilon\",\"Alpha\",\"Ngn3 high EP\",\"Ductal\",\"Alpha\",\"Beta\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Alpha\",\"Alpha\",\"Alpha\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Beta\",\"Ductal\",\"Beta\",\"Alpha\",\"Alpha\",\"Epsilon\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Beta\",\"Ngn3 high EP\",\"Beta\",\"Beta\",\"Alpha\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Beta\",\"Epsilon\",\"Epsilon\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 low EP\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Alpha\",\"Ngn3 high EP\",\"Beta\",\"Beta\",\"Ngn3 high EP\",\"Ductal\",\"Alpha\",\"Alpha\",\"Beta\",\"Pre-endocrine\",\"Beta\",\"Ngn3 high EP\",\"Alpha\",\"Beta\",\"Pre-endocrine\",\"Ductal\",\"Alpha\",\"Beta\",\"Ngn3 high EP\",\"Alpha\",\"Beta\",\"Ductal\",\"Ductal\",\"Epsilon\",\"Beta\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ductal\",\"Alpha\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 high EP\",\"Ngn3 low EP\",\"Beta\",\"Ngn3 low EP\",\"Beta\",\"Beta\",\"Beta\",\"Ductal\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Ductal\",\"Ductal\",\"Ductal\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ductal\",\"Beta\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Alpha\",\"Ductal\",\"Ductal\",\"Beta\",\"Pre-endocrine\",\"Beta\",\"Alpha\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ductal\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Pre-endocrine\",\"Alpha\",\"Ductal\",\"Delta\",\"Ductal\",\"Delta\",\"Beta\",\"Beta\",\"Ngn3 low EP\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Beta\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 low EP\",\"Alpha\",\"Beta\",\"Ductal\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Alpha\",\"Ductal\",\"Alpha\",\"Beta\",\"Beta\",\"Beta\",\"Pre-endocrine\",\"Ductal\",\"Ductal\",\"Ductal\",\"Alpha\",\"Beta\",\"Ngn3 high EP\",\"Beta\",\"Alpha\",\"Ductal\",\"Epsilon\",\"Ngn3 high EP\",\"Beta\",\"Beta\",\"Ngn3 high EP\",\"Beta\",\"Ductal\",\"Ngn3 low EP\",\"Alpha\",\"Alpha\",\"Ductal\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ngn3 low EP\",\"Beta\",\"Ductal\",\"Beta\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Beta\",\"Ductal\",\"Ductal\",\"Pre-endocrine\",\"Beta\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Beta\",\"Delta\",\"Beta\",\"Beta\",\"Ductal\",\"Pre-endocrine\",\"Epsilon\",\"Ductal\",\"Ductal\",\"Ductal\",\"Beta\",\"Ngn3 low EP\",\"Ductal\",\"Beta\",\"Delta\",\"Ductal\",\"Alpha\",\"Beta\",\"Ngn3 low EP\",\"Ductal\",\"Alpha\",\"Ductal\",\"Ngn3 high EP\",\"Beta\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Alpha\",\"Pre-endocrine\",\"Ductal\",\"Delta\",\"Ductal\",\"Pre-endocrine\",\"Beta\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Alpha\",\"Epsilon\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Beta\",\"Pre-endocrine\",\"Beta\",\"Epsilon\",\"Alpha\",\"Ductal\",\"Ductal\",\"Alpha\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Beta\",\"Beta\",\"Pre-endocrine\",\"Epsilon\",\"Alpha\",\"Ductal\",\"Ductal\",\"Alpha\",\"Ductal\",\"Beta\",\"Pre-endocrine\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ductal\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Ductal\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Beta\",\"Ngn3 high EP\",\"Alpha\",\"Beta\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Alpha\",\"Ductal\",\"Alpha\",\"Delta\",\"Pre-endocrine\",\"Alpha\",\"Beta\",\"Pre-endocrine\",\"Beta\",\"Epsilon\",\"Ngn3 low EP\",\"Beta\",\"Ductal\",\"Ductal\",\"Ductal\",\"Ductal\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Beta\",\"Alpha\",\"Ductal\",\"Beta\",\"Ngn3 high EP\",\"Ductal\",\"Beta\",\"Beta\",\"Ductal\",\"Alpha\",\"Beta\",\"Beta\",\"Ngn3 low EP\",\"Alpha\",\"Beta\",\"Delta\",\"Ductal\",\"Pre-endocrine\",\"Beta\",\"Pre-endocrine\",\"Delta\",\"Alpha\",\"Pre-endocrine\",\"Ductal\",\"Ngn3 high EP\",\"Delta\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Alpha\",\"Ductal\",\"Epsilon\",\"Ductal\",\"Beta\",\"Pre-endocrine\",\"Alpha\",\"Ductal\",\"Ngn3 low EP\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Pre-endocrine\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Pre-endocrine\",\"Beta\",\"Ductal\",\"Beta\",\"Pre-endocrine\",\"Alpha\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Beta\",\"Ductal\",\"Ductal\",\"Ngn3 low EP\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Alpha\",\"Pre-endocrine\",\"Ngn3 low EP\",\"Alpha\",\"Beta\",\"Ngn3 high EP\",\"Alpha\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ductal\",\"Pre-endocrine\",\"Beta\",\"Delta\",\"Pre-endocrine\",\"Alpha\",\"Beta\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 high EP\",\"Beta\",\"Pre-endocrine\",\"Alpha\",\"Beta\",\"Ngn3 high EP\",\"Ductal\",\"Alpha\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Beta\",\"Ngn3 high EP\",\"Ductal\",\"Beta\",\"Alpha\",\"Ductal\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Epsilon\",\"Beta\",\"Beta\",\"Ductal\",\"Ngn3 low EP\",\"Ductal\",\"Ductal\",\"Ductal\",\"Alpha\",\"Pre-endocrine\",\"Ductal\",\"Pre-endocrine\",\"Beta\",\"Ngn3 low EP\",\"Beta\",\"Alpha\",\"Ductal\",\"Ductal\",\"Alpha\",\"Alpha\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Alpha\",\"Epsilon\",\"Epsilon\",\"Ngn3 high EP\",\"Beta\",\"Ductal\",\"Alpha\",\"Pre-endocrine\",\"Ductal\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 low EP\",\"Ductal\",\"Beta\",\"Ngn3 high EP\",\"Beta\",\"Alpha\",\"Ductal\",\"Ngn3 low EP\",\"Beta\",\"Ngn3 low EP\",\"Beta\",\"Ductal\",\"Alpha\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Alpha\",\"Alpha\",\"Alpha\",\"Alpha\",\"Ductal\",\"Beta\",\"Beta\",\"Ductal\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Alpha\",\"Beta\",\"Beta\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Ngn3 high EP\",\"Epsilon\",\"Epsilon\",\"Ductal\",\"Ductal\",\"Ductal\",\"Beta\",\"Alpha\",\"Ductal\",\"Ductal\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Beta\",\"Ngn3 low EP\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Alpha\",\"Ductal\",\"Alpha\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ductal\",\"Ductal\",\"Pre-endocrine\",\"Ngn3 low EP\",\"Ductal\",\"Ductal\",\"Pre-endocrine\",\"Alpha\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ductal\",\"Ductal\",\"Ductal\",\"Beta\",\"Pre-endocrine\",\"Ngn3 low EP\",\"Alpha\",\"Ductal\",\"Alpha\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Alpha\",\"Pre-endocrine\",\"Ductal\",\"Ductal\",\"Beta\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 low EP\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Beta\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Alpha\",\"Beta\",\"Ductal\",\"Pre-endocrine\",\"Pre-endocrine\",\"Alpha\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ductal\",\"Ngn3 low EP\",\"Ngn3 low EP\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Alpha\",\"Ductal\",\"Epsilon\",\"Ngn3 low EP\",\"Beta\",\"Beta\",\"Ductal\",\"Ductal\",\"Pre-endocrine\",\"Beta\",\"Alpha\",\"Ngn3 low EP\",\"Ngn3 low EP\",\"Ductal\",\"Ngn3 low EP\",\"Beta\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Alpha\",\"Beta\",\"Alpha\",\"Beta\",\"Ngn3 high EP\",\"Alpha\",\"Epsilon\",\"Alpha\",\"Pre-endocrine\",\"Beta\",\"Ngn3 low EP\",\"Beta\",\"Ductal\",\"Beta\",\"Beta\",\"Beta\",\"Ngn3 low EP\",\"Alpha\",\"Beta\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Pre-endocrine\",\"Pre-endocrine\",\"Beta\",\"Ductal\",\"Beta\",\"Beta\",\"Pre-endocrine\",\"Ductal\",\"Ductal\",\"Ngn3 low EP\",\"Ductal\",\"Beta\",\"Delta\",\"Pre-endocrine\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 high EP\",\"Beta\",\"Ductal\",\"Ngn3 low EP\",\"Ductal\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Beta\",\"Alpha\",\"Ngn3 high EP\",\"Beta\",\"Pre-endocrine\",\"Beta\",\"Delta\",\"Beta\",\"Ngn3 low EP\",\"Epsilon\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ngn3 low EP\",\"Alpha\",\"Ngn3 high EP\",\"Ngn3 low EP\",\"Beta\",\"Alpha\",\"Epsilon\",\"Ductal\",\"Beta\",\"Pre-endocrine\",\"Pre-endocrine\",\"Beta\",\"Ngn3 low EP\",\"Pre-endocrine\",\"Beta\",\"Alpha\",\"Beta\",\"Ngn3 low EP\",\"Ngn3 low EP\",\"Ductal\",\"Ductal\",\"Pre-endocrine\",\"Alpha\",\"Pre-endocrine\",\"Beta\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Ductal\",\"Alpha\",\"Alpha\",\"Ngn3 high EP\",\"Ductal\",\"Beta\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Beta\",\"Ngn3 low EP\",\"Ngn3 low EP\",\"Alpha\",\"Beta\",\"Ductal\",\"Ngn3 low EP\",\"Alpha\",\"Ductal\",\"Beta\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Epsilon\",\"Beta\",\"Ductal\",\"Ngn3 high EP\",\"Ngn3 low EP\",\"Ductal\",\"Alpha\",\"Alpha\",\"Ductal\",\"Beta\",\"Ductal\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Ngn3 low EP\",\"Ductal\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Beta\",\"Ngn3 high EP\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Ngn3 low EP\",\"Ngn3 high EP\",\"Beta\",\"Ductal\",\"Beta\",\"Ductal\",\"Beta\",\"Beta\",\"Ductal\",\"Alpha\",\"Epsilon\",\"Alpha\",\"Ductal\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Epsilon\",\"Alpha\",\"Alpha\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Alpha\",\"Ductal\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Ngn3 low EP\",\"Ductal\",\"Ductal\",\"Ngn3 low EP\",\"Beta\",\"Pre-endocrine\",\"Alpha\",\"Beta\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Ductal\",\"Ductal\",\"Alpha\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Ngn3 high EP\",\"Alpha\",\"Ngn3 high EP\",\"Ngn3 high EP\",\"Pre-endocrine\",\"Beta\",\"Ductal\",\"Beta\",\"Beta\",\"Beta\",\"Beta\",\"Alpha\",\"Ductal\",\"Ngn3 high EP\",\"Ductal\",\"Pre-endocrine\",\"Ductal\",\"Pre-endocrine\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Alpha\",\"Ductal\",\"Pre-endocrine\",\"Alpha\",\"Beta\",\"Pre-endocrine\",\"Ngn3 high EP\",\"Ductal\",\"Beta\",\"Alpha\",\"Ductal\",\"Pre-endocrine\",\"Pre-endocrine\",\"Beta\",\"Ngn3 low EP\",\"Beta\",\"Alpha\",\"Ngn3 high EP\",\"Ductal\",\"Ductal\",\"Delta\",\"Pre-endocrine\",\"Pre-endocrine\",\"Beta\",\"Pre-endocrine\",\"Beta\",\"Ngn3 low EP\",\"Ductal\",\"Alpha\",\"Pre-endocrine\",\"Ductal\",\"Ductal\",\"Beta\",\"Alpha\",\"Ngn3 high EP\",\"Ngn3 low EP\",\"Ductal\",\"Alpha\"],\"colors\":[\"#A6CEE3\",\"#1F78B4\",\"#B2DF8A\",\"#33A02C\",\"#FDBF6F\",\"#FF7F00\",\"#FB9A99\",\"#E31A1C\"],\"marker\":{\"size\":1.5},\"showlegend\":true,\"visible\":true,\"inherit\":true},\"8ff16af8dc4a.1\":{\"alpha_stroke\":1,\"sizes\":[10,100],\"spans\":[1,20],\"x\":[-5.2168136014245556,-5.2400648182285705,-5.255031521959932,-5.2842716741885249,-5.2851273035861395,-5.2928017384219626,-5.2989471078534658,-5.300407756442258,-5.3029387178764793,-5.3057781461636946,-5.3104105399003849,-5.3267194214573159,-5.3294394726736707,-5.3326467307472667,-5.3328672936404953,-5.3331952996673637,-5.3419356849934889,-5.3424446966409391,-5.3507562536088162,-5.3547306216819539,-5.3565553120343381,-5.3586886828302029,-5.3653478532467744,-5.3691788602590602,-5.3746500517669693,-5.3833668870907134,-5.4027853598484699,-5.4153812264670433,-5.4448831944993223,-5.4565581693330705,-5.4652597327558201,-5.4661293205598582,-5.4726968212905529,-5.4808522950694512,-5.4875770208272314,-5.502905833279458,-5.5109012801907529,-5.5119207472511835,-5.5190906139019749,-5.519856886344817,-5.5271660095932775,-5.5353904581233104,-5.5355663520459029,-5.5356403082516037,-5.5377274666265439,-5.5388485978314872,-5.5408433985503107,-5.5422970180248736,-5.5517117882029421,-5.5566058862556797,-5.5578671721685158,-5.5592798250778444,-5.5600713713645851,-5.5625255946334757,-5.5700192328411937,-5.5721600652295455,-5.5844210869024815,-5.6087252567454193,-5.6110263818831285,-5.6118381281429972,-5.6136612858989672,-5.6214314687762927,-5.6282459950227395,-5.630387559034161,-5.6332184165536905,-5.6347433655884149,-5.6433981577449748,-5.6510246392704815,-5.659846488152672,-5.6612092248101646,-5.6616615165892634,-5.6704549673088893,-5.6754467623186455,-5.6757609378339753,-5.6835583906633618,-5.6888584753248077,-5.6896322364677872,-5.6899227819088569,-5.692842564071543,-5.6964947375774715,-5.6969657125406687,-5.7009134197089253,-5.701235983602575,-5.7014749024105793,-5.702811809214297,-5.706761581141909,-5.7103968749777598,-5.7123706686779698,-5.7228214224803535,-5.7285934507328866,-5.7296011355024019,-5.7298516393841892,-5.7308388554735741,-5.746624824097748,-5.7515668756254259,-5.7530260840236336,-5.7586732969480208,-5.7615795049672682,-5.7638166947377263,-5.7656492181105241,-5.7687043049009894,-5.7786079393067213,-5.7947704891763721,-5.7997202802553716,-5.8036860476779415,-5.8275477919880245,-5.8285015183549644,-5.8309849320978877,-5.8369398562764516,-5.8369808562418299,-5.837533537643659,-5.837587173303457,-5.8384346603525294,-5.8548218902605464,-5.8553414927325598,-5.8559866795345616,-5.8567590458959273,-5.8595119100490525,-5.8612611945326103,-5.8644125532203315,-5.8653693319610474,-5.866140821100613,-5.8683460567027357,-5.8691541257098443,-5.870762582456595,-5.8709556143669932,-5.8732252954134347,-5.8733691047091208,-5.8737178565425188,-5.8738993527446715,-5.8740449507417036,-5.8741177360883192,-5.8741825434325072,-5.8742340994193025,-5.8744017200811633,-5.8746941700476496,-5.8748392039502324,-5.8752093007911448,-5.8752195840626653,-5.8752475590892246,-5.8752503129008042,-5.8751596451915642,-5.874955946790239,-5.8746510956629638,-5.87247546200902,-5.8716352417871933,-5.8699439393715211,-5.8668850737940605,-5.8664295271098128,-5.8652908885746919,-5.8629953327484765,-5.8614934033965023,-5.8581567136803159,-5.8541570958156095,-5.8480939609599121,-5.8413710124879428,-5.8407334369389474,-5.8339204738975532,-5.8334153917592371,-5.8282223535145254,-5.828092729635852,-5.8277569704689691,-5.8267935234763462,-5.822857066624243,-5.8221864402394301,-5.8210455715731317,-5.8202567201588113,-5.8183083743514752,-5.8175500017671418,-5.8169167387359977,-5.814946565912245,-5.8135962843638422,-5.8108288951578908,-5.8097503355820166,-5.8074247593170227,-5.8056341306587314,-5.8052813817043418,-5.802907923950281,-5.8027151665679995,-5.802254587989407,-5.7994165881893363,-5.7972598852527399,-5.7971882060323106,-5.7916875027962194,-5.7898110377953902,-5.7867257303067907,-5.7685618962501639,-5.7668257978498589,-5.7667907460237604,-5.764298511845511,-5.7640153878606712,-5.7612971663951056,-5.7593251495411781,-5.758432891140842,-5.7555965087174554,-5.7541872163772609,-5.7531578089114683,-5.7512900449729978,-5.7503116370119232,-5.7466794005359914,-5.7446296677405568,-5.7434417727267437,-5.7428622383723678,-5.7375586815817563,-5.7347771039825277,-5.7327272850137048,-5.7288725347899918,-5.7217854864885433,-5.7217468175867223,-5.7216396055331202,-5.7168765904384697,-5.7152009271819404,-5.7139435976534578,-5.7113698603444156,-5.7106055191889631,-5.7086855096878093,-5.7062509924043319,-5.7047551910659662,-5.7014405811207114,-5.6996057432438105,-5.6979898600928571,-5.6973166619308842,-5.6969795034004855,-5.6965884214130931,-5.6925929510980158,-5.6901653540421968,-5.6878533672765004,-5.6863964492349863,-5.6854033397371833,-5.6849641580060997,-5.6790635455825633,-5.6780771965824641,-5.6777743466628223,-5.6682292624088397,-5.6640552212724957,-5.6629717922753011,-5.6602426359384825,-5.6593596255706826,-5.6591122047014162,-5.6560311618467463,-5.6552311899854253,-5.64703316247732,-5.6448098325731415,-5.6437633467989645,-5.6378355927862742,-5.6307766315162597,-5.6293168338816519,-5.6278686857242963,-5.6251580752392751,-5.6157297351301354,-5.6137385147367755,-5.604589639685682,-5.5824347834763053,-5.5605841700821674,-5.5491227488795731,-5.5360278791020781,-5.5310613446258117,-5.5292960730333167,-5.5175004540558197,-5.5174009602826155,-5.5021236584618967,-5.4939624033249004,-5.4898205133722362,-5.4868197104603968,-5.4771516230742723,-5.4691528507314846,-5.4680495097383535,-5.4659915835190471,-5.4589044079937317,-5.4540201370643286,-5.449269158107648,-5.4436912972579341,-5.4434633122654095,-5.4304104826017872,-5.4274648255185749,-5.4223073339290817,-5.4210200672538145,-5.4176813494427876,-5.4171112133207568,-5.4060131107416147,-5.3997158360722146,-5.3968520772937945,-5.3952516612129315,-5.3894122614839102,-5.3722740289869026,-5.368442470464533,-5.3642158399228741,-5.3581029131345801,-5.3579356173822541,-5.3551574161920499,-5.3525220303069609,-5.3272010428211534,-5.3238523994472393,-5.3052250974189912,-5.3033967594087494,-5.3017978006332847,-5.2700454021867484,-5.2618665776394264,-5.2553852900381397,-5.2544583475509397,-5.2008824687159469,-5.2001174322692627,-5.1940758268201979,-5.1144608556691828,-5.0921594360794193,-5.0500607102451376,-5.0404915008968283,-4.98916250818138,-4.9222963770304684,-4.8834783509998667,-4.8732256673263983,-4.7890603448837643,-4.762972970018355,-4.6734847168235625,-4.6439759769720492,-4.6029044837812716,-4.5883565894231824,-4.5338222293532784,-4.4111844373481945,-4.3835965798195984,-4.3705227734632128,-4.2351229618380586,-4.2206784234621857,-4.2176437710537318,-4.1384360705453354,-4.0762453639360254,-4.013440392350395,-4.0059918149955243,-3.9978402506389989,-3.9965606021125573,-3.947488276221558,-3.9259767944656501,-3.8867662789058079,-3.880249217477306,-3.7923102425543935,-3.7664936190957512,-3.7604331879688302,-3.6978287053857963,-3.5917950732840844,-3.5204803236787505,-3.4811579450621193,-3.4198483921323408,-2.992886874570031,-2.9860936025642459,-2.8952920620058866,-2.7816892501649764,-2.7674879399954975,-2.5986757903644477,-2.5412987577219073,-2.5170468187110622,-2.4847282415425922,-2.4809870486247902,-2.2912768260264755,-2.2331678650761448,-2.2077775525110468,-2.1882502421093797,-2.0654587491886014,-1.9850987064667778,-1.9633971005393684,-1.8150070993635146,-1.783466398475992,-1.7415315667476456,-1.7027380152884934,-1.6139213704476885,-1.4070349834612137,-1.3845673645470853,-1.3591480475790378,-1.2126610881103126,-1.0852451014224211,-1.041381605790999,-0.98631126307514094,-0.96864803833356317,-0.87953329781052203,-0.86185488862663284,-0.8364215629247016,-0.79817906357847446,-0.76022575281876947,-0.75892553426418241,-0.71901703743289669,-0.65582876778983534,-0.61994435408080617,-0.58603021337757411,-0.56461396478379222,-0.55971051142612749,-0.49921041710403785,-0.44461592028043223,-0.43421376560152952,-0.38017122118980268,-0.3459918660715543,-0.33842824914934949,-0.19973018537509601,-0.19655798518082218,-0.15206804269358443,-0.11165743046364097,0.075277315817345758,0.093010424276202222,0.16141434508485569,0.18810829105743401,0.19649195805393535,0.20303836668635722,0.22100998489032417,0.25716066975100643,0.26436927973309171,0.28464396157632282,0.29634179032430613,0.35671698104162292,0.382145962649029,0.41816723861852612,0.53738015836714403,0.54855461810088424,0.59789800783410085,0.62809505696607781,0.64350941171247755,0.69193754115020278,0.6971813052893735,0.78201219698591018,0.78956760165487705,0.8192961604801472,0.85490335996850042,0.85766404196408419,0.86054106529101815,0.91942688931173322,0.92845098964835704,0.9521767390746172,0.98277142497897096,1.0052925035392672,1.017304146762412,1.0264504171897126,1.0823986520012854,1.0886177496992173,1.1484709377633551,1.1938981557412829,1.2280126101249129,1.2337380181695985,1.2887281708766749,1.2938239029430563,1.3044528540545737,1.3045418904090205,1.3618562049008909,1.3679683710284012,1.3942544945011943,1.4067146092369831,1.4175688833695157,1.5241070033228037,1.5304233137481342,1.678597181795922,1.7707130102635942,1.8237076556344525,1.8586148924571686,1.8661291750215347,1.8810099887466596,1.9367273029386542,1.9556712656464894,1.9857175179623203,2.0065785282005399,2.0184393568795715,2.0493830243384812,2.1019662079936481,2.1066983963048838,2.1403987914148166,2.152943971110445,2.166390516144777,2.1697003567226205,2.1817651207063364,2.3233609773171815,2.356070134225059,2.410383345268996,2.4384832599729611,2.4395542262060892,2.4399133192514459,2.4466263318244921,2.4648034860707955,2.4664394669129872,2.5434493216748404,2.6163376910988028,2.6184723805519727,2.6359130623698896,2.6776822792473127,2.7072505037689369,2.7288371799799789,2.7719945360425946,2.7882512499691341,2.8767129132301585,2.8941061950170499,2.9321081549223162,2.9529874500951783,3.0169542994757257,3.0169741686721365,3.0389188673364367,3.0482973396172124,3.0679027704446815,3.0798641949092658,3.0846833503721012,3.10072400005058,3.1009683209035659,3.1228182825392294,3.1336114679686511,3.1359349889101438,3.1556196768164586,3.1942611024269123,3.1981688469899257,3.2060351614427094,3.2165511007850069,3.2334238405764331,3.2360746908115767,3.344145903554828,3.3537130388043446,3.3546630694751967,3.35785787427008,3.3697775362625166,3.3704513345162002,3.3744522705143174,3.3790167085117924,3.3818291105434479,3.4211573871049517,3.4484621045139181,3.453127959775605,3.5136829845660937,3.5203162377714197,3.5236378670685053,3.5251869333942145,3.5361497405972706,3.5692153345183764,3.6045633858533681,3.6519378988120734,3.652055238090874,3.6552243909454551,3.6747133190408268,3.6852256723832832,3.6893596977606391,3.6942473942477942,3.7125992812355388,3.7409465644809021,3.7484635622241038,3.7547017708159296,3.7676891128742325,3.7777002037507996,3.7876125803124188,3.8031302013528387,3.8083435905864582,3.8189138581118147,3.8305081370727381,3.8391899465337351,3.8445150216555977,3.8452599533060301,3.8481040179858059,3.8607113825199471,3.8659138916130336,3.8987882730271615,3.9213734541052907,3.9318024866122849,3.9346576099774722,3.944197408409964,3.9536194194253902,3.9551488257607108,3.9581723466023524,3.9604112647472327,3.9625159675318531,3.9782018566802453,3.9812551674482832,3.9888530425874658,4.0040296188114164,4.0075105948812801,4.0075479952515183,4.0210615933938971,4.0211003120226385,4.0264463158847557,4.03591823382766,4.0466409207109075,4.0469357141615374,4.0476728120679653,4.048558191097599,4.0486705147528967,4.0488386230130464,4.0511177936444209,4.0541624769120785,4.0563197300482345,4.0592177186272433,4.0619144429111911,4.0645006427084018,4.0647337974319901,4.0652838217289542,4.0719684968071235,4.071983332363498,4.0735483718704293,4.0742122051915208,4.0748084046701782,4.0772365522593752,4.0772670794029109,4.0805348526609837,4.0811469850749633,4.0830178047020667,4.0838426139641033,4.0864014041366818,4.0875378297829297,4.0881057384295669,4.0882097714564125,4.0902582599834991,4.0908627623628568,4.0909618790066693,4.0915558277619661,4.0915943131090344,4.0917833563846546,4.0927100072437339,4.0932158275098063,4.0937669967787986,4.0940813298939407,4.09377768789781,4.0937397669459434,4.092433996945676,4.0873826893563932,4.0814092329810405,4.0678649555472051,4.0637281073021354,4.062588800240559,4.06044984512444,4.0542056818884014,4.0535887096784311,4.0498412928037819,4.0396673129716101,4.0372578819685945,4.0355825826100764,4.0336473010304603,4.031222773308679,4.0173135157118409,4.0147999620719235,4.0112547640299789,4.009614838058793,4.009386580202194,4.0013852071885694,3.9991393237572739,3.9973092124419178,3.9919216518374201,3.9912037973507428,3.9873319430358825,3.9814391708859231,3.9807260113770777,3.979904821724574,3.9733044833914879,3.9644869290014535,3.9620696184143682,3.9607047629961603,3.9597278086606398,3.9588606552276677,3.9585124403076901,3.9575526670217434,3.9554253490672004,3.9478858681307742,3.9411790200598329,3.9385605978789977,3.9374570936827831,3.9309505253609713,3.9222163913119852,3.9159871150498859,3.909858418244768,3.9078277561668591,3.8937008480491082,3.8929627995735507,3.8905186380139889,3.8833146386740358,3.8767296705442096,3.8758488367732871,3.8715245396589135,3.8613887063795511,3.8581171088685693,3.8444816977617506,3.8416403363425933,3.8393994620793701,3.8367756500049066,3.8344581518702214,3.8324411520960502,3.8263812471246874,3.8262482887680109,3.7999299470462722,3.7979762722010681,3.7937048229746586,3.7924927860324118,3.7900125446484911,3.7889314475177671,3.7830148720271235,3.7765649569791426,3.7649732969535576,3.7640646329176897,3.7431639672632224,3.7333518419648222,3.7329861577961938,3.7260222262808842,3.7061054847625527,3.7001750692295934,3.6978148798568293,3.6947220820670679,3.6934252536255459,3.6840286109470224,3.6696287722558374,3.6574316971547831,3.6515006144691866,3.6507975541948667,3.6431535438198086,3.5974842745571629,3.5970172977345136,3.594243592900451,3.5848517230331085,3.5654956908491875,3.5500200033714862,3.5425504203224918,3.5367096947336623,3.5169811167092582,3.5118694944941904,3.511314082486217,3.4949153722437667,3.4761223843083422,3.4746541519417553,3.4665409805239338,3.4173207831039041,3.4091387199256116,3.393355358674369,3.3899072744779035,3.3850651070103477,3.3624436499290886,3.3547749917306602,3.3395663473752455,3.3199697308462328,3.3139020931305252,3.2867315390740792,3.2606250861230306,3.1924224127509384,3.184738895463386,3.1765461334610321,3.1612029089772742,3.1284254824709885,3.0855836699151711,3.0247963479476399,3.0153139547106167,2.8538223317566813,2.8513027626707284,2.8425711831983795,2.8380599061562117,2.798219931157913,2.7477394778620354,2.7475713922854865,2.745211371674154,2.7113806550184414,2.7090794218430863,2.6809894197627178,2.6643850872885944,2.614047149865192,2.608963653877824,2.600292142256547,2.6000132795372104,2.5759775983732358,2.559722101314021,2.5555419412895493,2.5311433677587933,2.5262965887335671,2.5092435670481574,2.5052325901814596,2.4561691353652106,2.4492548672429417,2.449022010317679,2.4479177507020489,2.4428259685279587,2.4427653605577953,2.4418773758974242,2.3950959714896913,2.3658348791991188,2.3107963657911328,2.2750477421181872,2.2708931378015018,2.2629575285751815,2.2623005188873999,2.2559242386084444,2.2555903238163642,2.2508568452176556,2.2442665043745498,2.241945123774308,2.2345406745768397,2.2298064256037295,2.1847333917266352,2.1525679516633391,2.1261806310029518,2.1209956262713718,2.1041317208541099,2.0488201539061275,2.0478556833877364,2.02933631215899,2.0274599879931903],\"y\":[-3.1961858757761483,-3.1555751046283067,-3.1291488785017254,-3.0768239811630291,-3.0752782258917315,-3.0613749837628497,-3.0501905832642944,-3.0475254155255262,-3.0429010202686468,-3.0377034521216237,-3.0292018933122722,-2.9990480321513084,-2.9939840648333313,-2.9879999220670612,-2.9875878667205953,-2.9869749603963807,-2.9705867546714213,-2.969628988181872,-2.953936147166091,-2.9463959314435115,-2.942926098495799,-2.938862822068613,-2.926134204512675,-2.9187798028379146,-2.9082358135572912,-2.8913350879651984,-2.8532153619652405,-2.8281225448264626,-2.7681225591642522,-2.7438658025207774,-2.7255837042126383,-2.7237468514676215,-2.7098150077428085,-2.6923656680410173,-2.6778493196945212,-2.6443055965318401,-2.6265465147151561,-2.6242686568090567,-2.6081602051568011,-2.6064293396274811,-2.5898268912825277,-2.5709394204584521,-2.5705330333109893,-2.5703621330811535,-2.5655314556933435,-2.5629305221398777,-2.5582921036660999,-2.554903416898187,-2.532774926539997,-2.5211445825590415,-2.5181327489022274,-2.5147523056188903,-2.5128548269346287,-2.5069562854753582,-2.4887995260415838,-2.4835709489077167,-2.4532556959710803,-2.3911503929371398,-2.385120036155727,-2.3829861967290342,-2.3781810374102359,-2.3575013683704134,-2.3390879025446005,-2.3332456412614548,-2.3254810603001665,-2.3212782964920553,-2.2971509585232894,-2.2754859414859587,-2.249922067850064,-2.2459227786052471,-2.2445923534071115,-2.2184141523865222,-2.2032788895509272,-2.2023193839868829,-2.1782332079612097,-2.1615504202464786,-2.1590929651227153,-2.1581687258846145,-2.1488356268989612,-2.1370433955664616,-2.1355129378547582,-2.1225947012141138,-2.1215319507405841,-2.1207440728899729,-2.1163241207268526,-2.1031521051640687,-2.0908742192213405,-2.0841437905149323,-2.0477123457727631,-2.0269782801370337,-2.0233108747687529,-2.0223969242226851,-2.0187862887700838,-1.9590001442402918,-1.9394138747777647,-1.9335435341427027,-1.9104286999089712,-1.8982756216800567,-1.8887945168130409,-1.880943968623745,-1.8676805848756819,-1.823199688182483,-1.745096851594341,-1.7195562739617745,-1.6984550992920686,-1.5561347723996584,-1.5497513534915841,-1.5328079964397463,-1.4900728362944522,-1.4897672090061085,-1.485630851473327,-1.4852277854395302,-1.4788195612769968,-1.335555162865619,-1.3301860475011091,-1.3234194463307387,-1.3151662221457927,-1.2842306799634304,-1.2631292475909639,-1.2214330138782974,-1.2075915746535115,-1.1959319744496055,-1.1595478017715324,-1.1447762303022966,-1.1121127352419653,-1.1078227260938507,-1.0474297348693462,-1.0426562828413335,-1.0302753424648261,-1.0232834380775455,-1.0173364553110864,-1.0142327401246813,-1.0113869535958213,-1.0090629471159898,-1.0010851047151061,-0.98508835780632042,-0.97566474532856284,-0.93937092181907,-0.93762204218365619,-0.93208677512635396,-0.893646815086792,-0.87851504329874741,-0.85815425810163126,-0.83735158970857093,-0.75470179731056153,-0.73265931568456522,-0.69494396419926585,-0.63963856113601225,-0.63233240438312843,-0.61485227156195998,-0.58240855303092154,-0.56280401019429416,-0.52276010572467912,-0.47961304135243327,-0.42138809682554856,-0.36402484784437306,-0.35889460042785343,-0.3067971767074078,-0.30311348816266243,-0.26646700640248078,-0.26557908254263551,-0.26328483839531375,-0.25674664083164167,-0.23069127511022794,-0.22635223766663101,-0.2190338668610961,-0.214019036087503,-0.20178687203048987,-0.19708299923786413,-0.19317905079985959,-0.18116862146979945,-0.17305159005302034,-0.15669274920075993,-0.15041384340631359,-0.13705153157085304,-0.1269207778279689,-0.12494072141254738,-0.11174791831770688,-0.11068621469388791,-0.10815515628836518,-0.092735470935784339,-0.081213099549657025,-0.080832953775996336,-0.052173624883588662,-0.042618584675302634,-0.027138410012647204,0.058860772490682126,0.066671630221114747,0.066828664881649374,0.077927715373016848,0.079180422970776224,0.091124626935013359,0.099698033391567048,0.10355236932879813,0.11570470221977905,0.12168728093021022,0.12603444095959995,0.13387371756044128,0.13795579322492374,0.15297228252541359,0.16135449269915658,0.16618293323268873,0.16853088730783561,0.18979132731109263,0.20078459842988763,0.20881951720785377,0.22378236547010866,0.25081575004780543,0.25096162942127076,0.2513659998758746,0.26919999750872337,0.27541477194056585,0.28005826203327122,0.28951159930603282,0.29230581863956229,0.2992986243606397,0.30811226514075712,0.31349862188701733,0.32535794494399528,0.33187836466250353,0.33759499748558364,0.3399696078652728,0.34115734789258034,0.34253376811111264,0.35651813314960873,0.36494699952709042,0.37292792168561539,0.37793424261076258,0.38133677749415584,0.38283890417220756,0.40287060061026247,0.40619236709133349,0.4072107777928895,0.43895484294450227,0.45262807734994775,0.45615713361936616,0.46501091287615098,0.46786463382436305,0.46866330378748478,0.47857444601099336,0.48113748301357184,0.50716411942257222,0.5141492447543109,0.51742644496102486,0.53586433472457839,0.55754962616735892,0.56199836083585963,0.56639969082567088,0.57460645531766175,0.60283935661380617,0.60874135504189475,0.63559592813088273,0.69892797647288485,0.75920760310811508,0.79002098138663901,0.82458436284423642,0.83752025507362771,0.84209566121054258,0.87237241359561368,0.87262563017241979,0.91108927451905253,0.93130406333301152,0.94147675377096562,0.94881100349540404,0.97223865872766357,0.99139206647905476,0.99401802430241692,0.99890560123409466,1.0156358569311499,1.0270749958143175,1.0381317137757848,1.0510253596049837,1.0515503704971356,1.0813511514331531,1.0880070716938541,1.0996002128488065,1.1024818121869502,1.1099335584516523,1.1112028759448467,1.135727985130506,1.1494908364835368,1.1557134128916162,1.1591811020466471,1.1717742907529283,1.2082043239522826,1.2162423086084591,1.2250644946278384,1.2377417538892417,1.2380873405524977,1.2438157989207004,1.2492314639308206,1.3003697157406646,1.307012851284832,1.3434658224175795,1.3469985404894409,1.3500814758802782,1.4100489746637157,1.4251145186990875,1.4369440915868978,1.4386281113691068,1.5330315202855829,1.5343420518952735,1.5446583283799709,1.6757824075768737,1.7111348788194864,1.7765051595370074,1.791135095592566,1.8683077181846721,1.9659113472626077,2.0212412292986439,2.0357055953828733,2.1522881189173746,2.1876995670542456,2.3068495693671793,2.3454069806913251,2.3985123556894794,2.4171720278106701,2.4864490165373776,2.6386362843592068,2.6722306093583876,2.6880728024178562,2.8493320169629976,2.8662450527419798,2.8697914611008928,2.9615330237220494,3.0324860657660619,3.1032141077949817,3.1115420729715231,3.1206415643740444,3.1220686521298724,3.1765174720791345,3.2002171208416805,3.2431558643765679,3.2502603072253189,3.34524113969018,3.3728170582070183,3.3792704997667191,3.445494595367304,3.5558583948150266,3.6288380599001595,3.6686562295135525,3.7301464850074089,4.1387917264634195,4.1450203202210991,4.2274557685602954,4.3284430514363255,4.3408988299533231,4.4860731779542515,4.5341932062487595,4.5543441084501888,4.5810227733317817,4.5840981565399517,4.7364857982694293,4.7817451116568712,4.8013085042375732,4.8162659301246968,4.9085360194109162,4.9672242985860917,4.982838697003185,5.0868700900458315,5.108354959340625,5.1365717698529076,5.1623165813493985,5.2199371025392001,5.3467330394562067,5.359852077376158,5.3745356034994476,5.4557713495378071,5.521527044807744,5.5430538885320946,5.5692449261036101,5.5774443265244509,5.6172787819325798,5.6248698159621577,5.6356054761850594,5.651329970757125,5.6664290828933703,5.6669372762043757,5.6822383544928519,5.7052616553747253,5.7176601668612195,5.7289143665166957,5.7357843962131332,5.7373312081200609,5.7555982423833036,5.7707458301381429,5.7734837749864996,5.7869219603141753,5.7947228270735058,5.7963741621274485,5.8215987403284801,5.8220587053024273,5.8279284195980461,5.8322941850792036,5.8394393824245912,5.8388906626058139,5.8344702226619196,5.8318090479162521,5.8308703255884993,5.8301037936626487,5.8278506506811052,5.8226759300009254,5.8215442782936648,5.8181885259014559,5.816138276734061,5.8042799686717768,5.7986705303396251,5.7901302107997914,5.7572182294713778,5.7537883143574522,5.737977475053091,5.7277816894045506,5.7224293941894278,5.7049819605275527,5.7030363955270751,5.6700897636021335,5.6670243995175174,5.6547615347274203,5.6396585876852461,5.6384690443777741,5.6372265529157666,5.6111732932720928,5.6070775209887866,5.5961809596768779,5.5818593575531228,5.5711256426780773,5.5653353162949797,5.5608959879726712,5.5331790621718833,5.5300393265015453,5.4992344460652012,5.4751571871597928,5.4566895589298197,5.453558111865294,5.4230196464046427,5.420147778830402,5.4141347961147064,5.4140842974449752,5.3811358145444972,5.3775704882313686,5.3621252686425995,5.3547407389134953,5.3482749757844603,5.2832060103783629,5.2792578947990583,5.1837997223758112,5.1217521522060734,5.0851285098628383,5.0606361468638177,5.0553255529001948,5.0447687852526375,5.0047692896190643,4.9909992920899473,4.9689817463349444,4.9535666533997711,4.9447551344566953,4.9216057243267839,4.8817302238458993,4.8781082705070942,4.852153819526082,4.8424198262059628,4.8319426422005138,4.829356730589998,4.8199073767808551,4.7062052995911472,4.6791842318737258,4.6336626249946722,4.6097827027647957,4.6088680502181134,4.6085612939741676,4.602819745168663,4.5872064943062423,4.5857964655240853,4.5184991129970129,4.453051639606052,4.4511077467479687,4.4351658794778412,4.3965394719309101,4.3687987942624584,4.3483284425951583,4.306822038904043,4.2909765260649131,4.2025194166002171,4.184640354519308,4.1449489416352678,4.1227465952595725,4.0527323983408374,4.0527101334996072,4.027899971960113,4.0171567795585119,3.9942885665099657,3.9800222254534856,3.9742066477075269,3.95456702467275,3.9542645144372108,3.9267981499714009,3.9129274967093637,3.9099150447943622,3.884015392081817,3.8311771976455304,3.8256842304218597,3.8145425077891493,3.7994708447762644,3.7748612680014566,3.7709466632747355,3.5997803714681322,3.5834974796152372,3.5818701303140408,3.5763837128392248,3.5557239978271094,3.5545471312036194,3.5475390566353426,3.5395020445453009,3.5345276669636854,3.4631500499176688,3.4115430640353881,3.4025511155856929,3.2810626600834021,3.267195116174983,3.2602078525643594,3.2569394107395779,3.2336273427963942,3.1613413424492323,3.0806288761922977,2.9664479820545893,2.9661561166345853,2.9582556974371794,2.908912218976297,2.8817389695145192,2.8709428545940225,2.8580969264607621,2.8090552934989916,2.7306655143950915,2.7093114726210019,2.6914015290851472,2.6535492200269246,2.623831929699973,2.5939263376971264,2.546103910621496,2.5297504003356539,2.4961310701454984,2.458514083968367,2.4298149373241977,2.4119776039372849,2.4094677620283793,2.3998521271031463,2.3565730810694441,2.3383910836969983,2.2187008975833273,2.1310139664899692,2.0887774032000479,2.077003602539603,2.0369631851329819,1.9962869684267082,1.9895714008304131,1.9761981385807719,1.96621020580491,1.9567533495164011,1.8840507345864974,1.8694054419651547,1.8321854541703015,1.7541034511055864,1.7353956211940413,1.7351928365549467,1.6591737488420111,1.6589473683791995,1.6271573635367642,1.5679226422882986,1.4952830427022257,1.4931846064687755,1.4879108845603362,1.4815244834641439,1.4807101520313966,1.4794896326662101,1.4627277501779099,1.439668701157337,1.4228212624073666,1.399443648652233,1.3768251860197187,1.3542365181276079,1.3521524560935152,1.3472027939694473,1.2826475741504633,1.2824936113723842,1.2659243853840889,1.2586871621575588,1.2520716438751902,1.2238484932892548,1.2234791182596851,1.1816789237553618,1.1732813052313644,1.1462480701878472,1.1335775592417172,1.0904927858346847,1.0689863927858534,1.0575202031584769,1.0553603075141842,1.0079907011256084,0.99163476650033999,0.98880938168369337,0.97083930266438978,0.9696051209363421,0.96339895502604755,0.92840075754347751,0.9040544864014044,0.8671793214590815,0.82541436117003553,0.7455726572537863,0.7422685468177338,0.67090070993798034,0.53451331898538412,0.43198767512760111,0.26632657570952212,0.22486757325332149,0.21394696641411234,0.19395801116834832,0.13894761498209779,0.13375108587620008,0.1029953880816553,0.02547223025068434,0.0081967347728031451,-0.0036012065996976275,-0.01702259680777897,-0.033538375148906091,-0.12268691891222946,-0.13790598868559198,-0.15896524944983875,-0.1685532852917726,-0.16988036964129891,-0.2153110856933789,-0.22770343040194518,-0.23769236926964515,-0.26655510542162741,-0.27034198495808798,-0.29053944675651866,-0.32057626043287196,-0.3241564971392813,-0.32826485665233562,-0.36075175697883055,-0.4027630447290062,-0.41402161361742762,-0.42033150320812263,-0.42482765467494249,-0.42880436694079338,-0.43039755357816795,-0.43477789425918933,-0.44443045923117741,-0.47803721978170061,-0.50718397214659428,-0.51838208062809099,-0.52307192351395693,-0.5503801320645435,-0.58615513814287012,-0.61108923149090089,-0.63517522817335537,-0.64306200029792393,-0.69670743860574014,-0.69945380046209538,-0.70851052842498352,-0.73487073592949037,-0.75854548671109323,-0.76168286405602914,-0.77698699196934817,-0.81223928367796905,-0.82343918548867068,-0.86922882700540871,-0.87859669215461578,-0.88594397112755019,-0.89450172960978158,-0.90202050809356527,-0.90853427507578832,-0.92793899446602823,-0.9283620057761981,-1.0099020303341242,-1.0157890047732929,-1.0285843285795573,-1.0321963245728834,-1.0395622288488604,-1.0427622765086313,-1.0601626607292229,-1.0789188314291445,-1.1120885723694922,-1.1146602750111565,-1.1727233745639303,-1.1992913956527729,-1.2002733875898952,-1.2188729612009161,-1.2710478629391599,-1.2863046998333261,-1.2923423942803192,-1.3002251511800207,-1.3035207195343392,-1.3272315074689949,-1.3630108822220064,-1.3928140913604425,-1.4071464410109058,-1.408838586437942,-1.427145146050075,-1.5332447935042375,-1.5343024299770687,-1.5405737105573183,-1.5616734489013371,-1.6045222322668085,-1.6381918821506749,-1.6542635557659717,-1.6667514052368047,-1.7084348309601314,-1.7191132435646161,-1.7202705800549833,-1.7541864009862926,-1.7924669303270457,-1.7954320994306638,-1.8117519108175584,-1.9085086041744952,-1.9242380637759919,-1.9543112553803801,-1.9608349465575605,-1.9699687630255187,-2.0122249023849936,-2.0263986435977555,-2.0542895696914996,-2.0898117756048458,-2.1007182284861643,-2.1490416464517836,-2.1947108438531111,-2.3107694953287545,-2.323568300654979,-2.337156974359706,-2.3624464347088452,-2.4157997978448202,-2.4842263449196929,-2.5789579493876893,-2.5935010931215805,-2.8325568762006861,-2.836168160516146,-2.848657207476998,-2.8550942041865244,-2.9114896680097773,-2.9818323579070327,-2.982064580055801,-2.985323747406543,-3.0317672027754026,-3.0349079139207054,-3.0730605463798337,-3.0954558139029147,-3.1626634552637136,-3.1693948831150669,-3.1808544934595817,-3.1812225392605411,-3.2128346248179369,-3.2340923007158815,-3.2395431814689024,-3.2712334643067948,-3.2775036253097163,-3.2994997109118223,-3.3046587691166374,-3.3673290203695081,-3.3760973499837732,-3.3763923803010538,-3.3777912437089057,-3.3842364172001238,-3.3843130849684679,-3.3854362324240004,-3.4442583579431383,-3.4807128902578057,-3.5486100018494651,-3.5922602089595301,-3.5973108678496941,-3.6069453482436833,-3.6077422701760713,-3.6154705374684188,-3.6158749613702783,-3.6216048416750639,-3.629572803168426,-3.6323767734610257,-3.6413113078710997,-3.6470165406951383,-3.7010534805648758,-3.7393138972764834,-3.7705199472469864,-3.7766330002060675,-3.7964732695599461,-3.8611066414786959,-3.8622278109476302,-3.8837181167641597,-3.8858914507206999],\"z\":[3.6137247792123866,3.5382588992615096,3.4892541056928823,3.3924911699884839,3.3896384869798921,3.3639960950270855,3.3433895131862346,3.3384819721276524,3.329969441692179,3.3204058891649675,3.3047723900311552,3.2494199388478084,3.2401395764463232,3.229178754489999,3.2284242518465791,3.2273020333672369,3.1973209790004153,3.1955703469385601,3.1669111994846699,3.1531576341661922,3.1468322891502796,3.1394281398480683,3.1162552357864528,3.1028812475066343,3.0837264717186974,3.0530725992263719,2.98416219045503,2.9389825706563046,2.8315757760195268,2.7884164958585202,2.7559926366614205,2.7527400045881856,2.7281006565505348,2.6973178693883519,2.671776136067006,2.612993948349823,2.5820110472086575,2.5780441051066156,2.5500372808168144,2.5470327993764847,2.518262452856737,2.4856408149174793,2.4849402036613695,2.484645587994637,2.4763219485608907,2.4718435315318348,2.4638624473949529,2.4580362434622489,2.4200854782219769,2.4002060243380896,2.3950655593437715,2.3892997048573612,2.3860650057985295,2.3760175518611932,2.3451662408481653,2.3363036366012833,2.2851115607836125,2.1812930194156595,2.1712898167562571,2.1677535265448848,2.1597966203823451,2.1256549159724432,2.0953952522834061,2.0858223476106734,2.0731205748087134,2.0662554582581953,2.0269811647099218,1.9919160107341116,1.950788354189247,1.9443787129431704,1.9422479237694759,1.9004720743545653,1.8764506518770458,1.8749310823708825,1.836914601821839,1.810729397155161,1.806882357600138,1.8054361785956843,1.7908532449622554,1.7724821778366917,1.7701023379980554,1.7500555728451295,1.74840963929462,1.7471897351742625,1.7403512069732792,1.7200226620192798,1.7011432354803291,1.6908224446795446,1.6353082250266193,1.6039805050993785,1.5984595806317832,1.5970846669507495,1.5916566709440219,1.5026439591585059,1.4738404387890411,1.4652421145610022,1.431541225259735,1.4139220847904339,1.4002245523064001,1.3889145198273145,1.369871950781012,1.3064826157107279,1.1967743385503105,1.1613316007164411,1.1322081087061331,0.9394483488038321,0.93094944368659682,0.90845101958340635,0.85208916625905107,0.851688055851612,0.84626216861310288,0.8457337172995627,0.83733852447946533,0.65279314621824325,0.64599196045216001,0.63743219553400321,0.62700939899000308,0.58811250690647832,0.56173439587579055,0.50997500561175135,0.4928989493847426,0.47855532265099759,0.43403353520015475,0.41606045871506869,0.37652576618491979,0.37135448935625465,0.29907304267985646,0.29340089862265806,0.27871679647461822,0.2704419064088055,0.26341369940430082,0.25974934989496168,0.25639171956878637,0.25365127684457867,0.24425455313159589,0.22546237196218638,0.21442289461060218,0.17211878829766289,0.17008880041506455,0.16366895270918297,0.11930054213256142,0.1019374567429035,0.078665040924424001,0.05499460282477793,-0.037990285215878286,-0.062506107970281555,-0.1041799505025964,-0.16467099253470743,-0.1726075474376392,-0.19154444498643092,-0.22650028538207559,-0.24750262277167079,-0.29012201604083088,-0.33562674690048933,-0.3963529950838941,-0.45542372755243665,-0.46067034989012162,-0.51361389814664182,-0.51733435929245408,-0.55418167790465622,-0.55507075570937037,-0.55736716998989211,-0.56390513667197162,-0.58986541062956666,-0.59417401588692398,-0.60143163473279371,-0.60639800966892676,-0.61848872475530747,-0.62312943138964494,-0.62697725909282354,-0.63879403072393748,-0.64676225080512284,-0.66277731371771109,-0.66890871958590337,-0.6819284701516356,-0.69177355201405077,-0.69369516173500467,-0.70647676479121235,-0.70750373132127742,-0.70995099001909745,-0.72483010763222222,-0.7359148883036567,-0.7362801072199131,-0.76372414947676559,-0.77283461573886492,-0.78755281480836759,-0.86838368199867644,-0.87564694540847476,-0.87579283783916206,-0.88609109341907522,-0.88725177514360243,-0.89830181429602818,-0.90621475018207931,-0.90976708503773607,-0.92094665122549779,-0.92643886386922358,-0.93042496053439916,-0.93760303844486304,-0.94133567732156398,-0.95499658910416807,-0.96256748366358835,-0.96691109491343741,-0.96901871027209685,-0.98796869982125679,-0.99767428820509785,-1.0047288288008791,-1.0177793439475551,-1.0410794556831018,-1.0412042392468985,-1.0415500806151605,-1.0567266995247382,-1.0619809273696799,-1.0658952590292976,-1.0738341659570863,-1.0761731148660703,-1.082011444374861,-1.0893395171162776,-1.0938014309358095,-1.1035816919500023,-1.1089337224721536,-1.1136114108751274,-1.1155504814354595,-1.1165195001347541,-1.117641728432736,-1.1289997334531618,-1.1358075482887544,-1.1422275829784583,-1.1462420160154481,-1.1489648443111085,-1.1501654711245919,-1.1660939072229628,-1.168720573915967,-1.1695250497260889,-1.1944096491458127,-1.2050167016269857,-1.2077437226898469,-1.2145663319570594,-1.2167596229487341,-1.2173729595254232,-1.2249661518512056,-1.226924362273373,-1.2466857723719549,-1.2519517892296095,-1.2544170432278838,-1.2682234623674062,-1.2843265887217123,-1.2876124776769489,-1.2908575177882389,-1.2968928737278549,-1.3175056404177858,-1.3217858576585251,-1.3411388620901332,-1.3860196115063059,-1.427812149401529,-1.4488512937867171,-1.472205158135276,-1.4808813717001224,-1.4839419577796944,-1.50408952969481,-1.5042572746672642,-1.5295969138658694,-1.5428054760864958,-1.5494250738052526,-1.5541865029910769,-1.5693347479035826,-1.5816520280934419,-1.5833361474192407,-1.5864678166625783,-1.5971593529048236,-1.6044449267167651,-1.6114683537637,-1.6196360576792577,-1.6199681278487532,-1.638753894803286,-1.6429330632986903,-1.6501982587089301,-1.6520013824827138,-1.6566592758351246,-1.6574519888110271,-1.6727290915438457,-1.6812704281118405,-1.6851249654550378,-1.6872710837131217,-1.6950535304056848,-1.7174710179481887,-1.7223990271568552,-1.7278006161704662,-1.7355497463645728,-1.7357607835644082,-1.7392573768805899,-1.7425603588570078,-1.7736295221782037,-1.7776509032419594,-1.7996651061764872,-1.8017941807730731,-1.8036516017087973,-1.8396874242403081,-1.8487177774289207,-1.8558037069768016,-1.8568110305343348,-1.9098295732535759,-1.9105204937685363,-1.9159186899295546,-1.9786954180505478,-1.9939232681351098,-2.0203767140908124,-2.0260088352106895,-2.0540829356259329,-2.0859282429955801,-2.1023113774662354,-2.1064063408598588,-2.1367332829050176,-2.1450484604786246,-2.1701911485639034,-2.1774388800731281,-2.1867476708087277,-2.1898381655552286,-2.2005185537065777,-2.2198173588155052,-2.2233466622607838,-2.2249228970373007,-2.2378759055857751,-2.23891902158381,-2.2391303797392728,-2.2437256074213896,-2.2461555948273948,-2.2476334838231082,-2.2477466590575266,-2.2478558253000021,-2.2478715761577379,-2.2481972347133818,-2.2481729260885404,-2.2478757702227155,-2.2477954007803955,-2.2458822228337301,-2.2450379820638746,-2.2448218589622777,-2.2422008159792393,-2.2362220319733526,-2.2311802588893404,-2.2280684856278827,-2.222766086361081,-2.1723382146665475,-2.1713647108955056,-2.1578911870250019,-2.1398733559448635,-2.1375338952559395,-2.1083195682499971,-2.0978241236457422,-2.0933052698021921,-2.087208452432284,-2.0864972132841411,-2.0489957509634817,-2.0369675630283064,-2.0316355571117,-2.0275036848237593,-2.0009171803597434,-1.9829712152458963,-1.9780530362342097,-1.9436339897408168,-1.9361454189500429,-1.9260980474900553,-1.9167122319342018,-1.8949013967309902,-1.8424300628068719,-1.8365970260967381,-1.8299668613450921,-1.7911362164560825,-1.7565297396964612,-1.744444235476674,-1.7291495711476994,-1.7242157504201088,-1.6991186220488557,-1.6940998512302974,-1.6868566287660238,-1.6759151221636377,-1.6649973303835011,-1.6646222728473965,-1.6530774531743997,-1.6346694794906953,-1.6241466151207036,-1.6141563234785579,-1.6078252491712437,-1.6063732730727549,-1.5883851529989192,-1.5720384050510043,-1.5689116653597832,-1.5526058514139278,-1.5422407673435865,-1.5399416422547452,-1.4974425377480824,-1.4964631824605568,-1.4826941734529633,-1.4701340885930119,-1.4114007751482534,-1.4056869889712313,-1.3819566998551438,-1.3720161096398265,-1.3688200207153209,-1.366300308237796,-1.3592766705648049,-1.3446917833442196,-1.3417130010400034,-1.3332136215751904,-1.3282300006943026,-1.3016246170245682,-1.2899976752603308,-1.2731261812514405,-1.2142185256520979,-1.2084738510891915,-1.182687836269293,-1.1665843139116889,-1.1582736784733352,-1.1317828917598998,-1.1288809142877818,-1.0810788696838725,-1.0767467111524598,-1.0595887039379681,-1.0388103272875506,-1.0371893134083248,-1.035498479237589,-1.0005631803731236,-0.99515598757471202,-0.98087477151423086,-0.96232433291056663,-0.94857580493559501,-0.94121166066177997,-0.93558991689857751,-0.90094220517333068,-0.89706429714083347,-0.85948824222349374,-0.83067874960316823,-0.80889148995326665,-0.8052227757183662,-0.76981809651008037,-0.7665224767576243,-0.7596405810039184,-0.75958288930589224,-0.72230220344809126,-0.71831031614818941,-0.70110948846288723,-0.692937783537388,-0.6858100728788149,-0.6154444136445032,-0.61125216960439788,-0.51242507238237445,-0.45068523692320894,-0.41513104189220085,-0.39171563420065619,-0.38667655672481405,-0.37669962618344882,-0.33937968594638185,-0.32670837172384803,-0.30663484963709886,-0.29271798380457947,-0.28481365481619819,-0.26422383596028604,-0.22935802047397533,-0.22622892183211954,-0.20399151455243514,-0.19573574747084185,-0.18690121791412975,-0.18472898332761281,-0.17681911710693374,-0.085133249063487473,-0.064317498167810142,-0.030128046821844601,-0.012643972779623001,-0.011980581877613979,-0.011758198357106654,-0.0076055626258086304,0.0035930818406048129,0.0045976318168730566,0.051199602623290527,0.093884493394470414,0.095110652409976432,0.10507286353074667,0.12850373158304146,0.14469221703627325,0.15628228883190237,0.17881641037665119,0.18706463081647687,0.22922661075931869,0.23689161752777843,0.25278427723122227,0.26096262418609606,0.28308616325516567,0.28309225076460298,0.2894725226633118,0.29197786192928749,0.29710105357020233,0.30025792645801824,0.30153625981531457,0.305817082352345,0.30588258604211072,0.3117757022287943,0.31471131260245899,0.31534531811060562,0.32074426788348948,0.33147401976997298,0.33256780677818615,0.33477398403321557,0.33773195376289594,0.34249698332364759,0.34324756373116744,0.37411082216708896,0.37684918318559185,0.3771209817547998,0.37803480225792785,0.38144106606608696,0.38163344449107839,0.38277533168671529,0.38407707386156709,0.38487859070055064,0.39602757095704005,0.40367714926522313,0.40497453579315057,0.42146227943541975,0.42321998475450084,0.42409587450152181,0.42450334544823387,0.42736801055015294,0.43578301030179567,0.44433000814072299,0.45484998219200345,0.4548744631445073,0.45553239536098844,0.45943349166752817,0.46142695942489875,0.46218810242399916,0.46307073094603202,0.4662078888795258,0.47044209575389206,0.47142548846885257,0.4721931245599551,0.47364188311766298,0.47461182897431586,0.47543682925232361,0.47643534842266688,0.47668476063795417,0.47704758114925022,0.47721058797378502,0.4771591672593587,0.47704930908168686,0.47702901341518417,0.47694014746307301,0.47631964107689378,0.47594977046966502,0.47184088856292905,0.46689335469822868,0.46389177563422168,0.46298095515931337,0.45963604476288011,0.45583734525220787,0.45517047579796793,0.45380843205521343,0.4527613696556112,0.45174628507657266,0.44315336848636966,0.44124885462832258,0.43613747585968654,0.42410077152606951,0.42094183249919193,0.4209069910097627,0.40691134461841988,0.4068668133059693,0.4004390783117116,0.38750938069463664,0.36985987653240116,0.3693191794957742,0.36795244207950495,0.36628217947015573,0.36606800415637192,0.36574648855045677,0.36126866110861044,0.35491564653212726,0.35012952254232554,0.34328097114215622,0.33641947285216584,0.32932927398172834,0.32866290814724675,0.32707190854214624,0.30520713263089294,0.30515243256183117,0.29919200867534285,0.29654223405429014,0.29409508069771012,0.28338125914065992,0.28323808171783404,0.26695055820776659,0.26365786295644889,0.25301064101174403,0.24799504147451371,0.23081730570751674,0.22217065047069057,0.21754071600600994,0.21666700735489097,0.19737909493686082,0.1906624856533784,0.18949924093531201,0.18207996055650405,0.18156908197940155,0.17899750321571711,0.16441411747265675,0.15418654579364877,0.13856418192949135,0.12067528969589124,0.085884897205732544,0.084428038352380372,0.052619627767366173,-0.010041961507719518,-0.05884697502755875,-0.14098649106316768,-0.16220684670749269,-0.167842096673121,-0.17820662917229868,-0.20706722209530853,-0.20981937918216581,-0.22620064253682395,-0.26820617745516745,-0.27770884164979848,-0.28422870086133956,-0.29167572020913507,-0.30088378727781706,-0.35144171741828534,-0.36021947796816878,-0.3724375144737781,-0.37802807977825459,-0.37880325110476154,-0.40554394033759489,-0.41290750066530324,-0.41886481704080436,-0.43618881759790323,-0.43847404275679547,-0.45071080407965358,-0.4690608743676935,-0.47126033912621956,-0.47378747596558379,-0.49389306403708771,-0.52021875947011276,-0.52733697719123207,-0.53133818950883105,-0.5341944640014944,-0.53672435817103203,-0.53773885810569944,-0.54053095309949528,-0.54669821233810079,-0.56832791398026727,-0.58728751636100363,-0.59462182144431086,-0.5977017941954017,-0.61573417615305059,-0.63961373767452734,-0.6564313890956599,-0.67281482277256432,-0.6782091507166268,-0.71529527629280343,-0.71721257539930416,-0.72354832278675718,-0.74210348716726271,-0.75891509211950137,-0.76115347830768143,-0.77210784382390352,-0.79756696123348725,-0.805722239829196,-0.83940420535504656,-0.84636309359900042,-0.85183734652741405,-0.85823169345989347,-0.86386594274033102,-0.86875939766943788,-0.88340532367860747,-0.88372573809340849,-0.94641519077513059,-0.95101362389890642,-0.96104253813273433,-0.96388212360953052,-0.96968453397080989,-0.97221023030732789,-0.98599594488061215,-1.0009551460002661,-1.0276655378260751,-1.0297502059120653,-1.0773537000551854,-1.0994839056760135,-1.1003061065022923,-1.1159292752491878,-1.1602624695650552,-1.1733673995474669,-1.1785711125596026,-1.1853800479718555,-1.1882317197002874,-1.2088362962407899,-1.2402188340399465,-1.2666256135850573,-1.2794105112292111,-1.2809236337633871,-1.2973430132611092,-1.3942855285521834,-1.3952671048135679,-1.4010935320665867,-1.4207737220588921,-1.4611048284678547,-1.4931380772060292,-1.5085343310184789,-1.52054439738856,-1.5609298185867861,-1.5713489854800253,-1.5724800153142187,-1.6057800778153897,-1.6437248034226062,-1.6466797970782587,-1.6629842351761077,-1.7610534955411912,-1.7772217263016439,-1.8083078324301398,-1.8150813214937105,-1.8245828417452308,-1.8688118633039477,-1.8837470383969948,-1.913281729122956,-1.9511752319748532,-1.9628718794881683,-2.0150453060071443,-2.0648723605843147,-2.1937326334576941,-2.2081369148467189,-2.2234717781180322,-2.2521246799310539,-2.3130551502920311,-2.392142828081155,-2.5033491066837597,-2.5205947803257911,-2.8104533549538209,-2.8149217389361807,-2.8303949014656293,-2.8383820143722378,-2.9087061395101652,-2.9972831630590426,-2.997577139740125,-3.0017040843980558,-3.0607293428528801,-3.0647353545496605,-3.1135440736873594,-3.1423177717928796,-3.2292053513409322,-3.2379517951331795,-3.2528599395849027,-3.25333911945701,-3.294583990888754,-3.3224155553224146,-3.329564473072796,-3.3712258761990048,-3.3794888043965332,-3.4085271541115834,-3.415349485099568,-3.4985700797462829,-3.510263954741391,-3.510657633927579,-3.5125244210893651,-3.5211295244477152,-3.5212319249177,-3.5227321509675598,-3.601578484687161,-3.6507100348900252,-3.7427483557307943,-3.8022735921845139,-3.8091786713749767,-3.822360579789537,-3.8234515148981956,-3.8340356429728186,-3.8345897459270568,-3.8424427369070906,-3.8533707017453578,-3.8572184131399814,-3.8694859733849309,-3.8773253069981508,-3.9517952773114593,-4.0047592675947827,-4.0480993761309332,-4.0566040770608556,-4.0842393081339425,-4.1746068920478852,-4.1761789816596782,-4.206341658931775,-4.2093951162937815],\"text\":\"Lineage:Lineage1\",\"type\":\"scatter3d\",\"mode\":\"lines\",\"line\":{\"width\":6,\"color\":\"#1B9E77\",\"reverscale\":false},\"name\":\"Lineage1\",\"showlegend\":true,\"visible\":true,\"inherit\":true}},\"layout\":{\"margin\":{\"b\":40,\"l\":60,\"t\":25,\"r\":10},\"title\":{\"text\":\"Total (nCells:1000)\",\"font\":{\"size\":16,\"color\":\"black\"},\"y\":0.94999999999999996},\"font\":{\"size\":12,\"color\":\"black\"},\"showlegend\":true,\"legend\":{\"itemsizing\":\"constant\",\"y\":0.5,\"x\":1,\"xanchor\":\"left\",\"alpha\":1},\"scene\":{\"xaxis\":{\"title\":\"StandardpcaUMAP3D_1\",\"range\":[-6.5008796387948093,4.953642970915884]},\"yaxis\":{\"title\":\"StandardpcaUMAP3D_2\",\"range\":[-5.430299611890689,6.5767537633534516]},\"zaxis\":{\"title\":\"StandardpcaUMAP3D_3\",\"range\":[-4.5793383473595606,3.8996264582434668]},\"aspectratio\":{\"x\":1,\"y\":1,\"z\":1}},\"autosize\":false,\"hovermode\":\"closest\"},\"source\":\"A\",\"config\":{\"modeBarButtonsToAdd\":[\"hoverclosest\",\"hovercompare\"],\"showSendToCloud\":false},\"data\":[{\"x\":[-5.6886261636056004,-5.872935169342905,-6.1831148797310886,-5.3833645516671238,-5.4914945298470554,-5.4327911073006687,-5.5798309975899754,-5.9773162537850437,-5.7239893609322605,-4.9453610116280613,-5.35839688122645,-5.3330701524056492,-5.9224170380868015,-5.5498193436898289,-5.919978969696909,-5.3041442567147312,-6.1821497613228855,-5.6242302590645847,-5.2006577187813816,-5.503446930054575,-5.8125513726510105,-5.3745692902840672,-5.2250226670540867,-6.1476582223214207,-5.6930960351265965,-5.7689450913704929,-5.2924097710885105,-5.672373645905405,-5.6623295480050144,-5.9470547372139988,-5.6904171639718113,-5.7528332406319675,-6.2177075082100925,-5.4631804162301121,-5.5754865342415867,-5.7706888848580418,-6.1108916932381687,-5.4041060143746433,-5.4442418748177586,-5.7719706231392918,-6.4100536042489109,-5.6914991074837742,-6.0249489480294285,-5.4014824563302097,-5.2602528268136082,-6.1109894448556004,-5.9845112496651707,-6.0393150979317722,-5.7518080407418308,-5.7148393327035008,-6.0209578210152683,-5.3508690530098972,-5.8466519051827488,-5.1293190652169285,-5.8394626313485203,-6.0309356385506687,-5.3975976640023289,-5.6858676606453953,-5.7005304032601414,-6.0058206254281101,-5.9610012704171238,-5.7542136842049656,-5.5800021821297703,-6.3277510339058933,-6.03074156582728,-5.7518442803658543,-5.3374651604928074,-5.1002482110299168,-5.9069336587227879,-5.6807621651925144,-5.7964295083321629,-6.2621782952584324,-5.3787101441659031,-5.8648399049080906,-5.6811984711922703,-5.3548949891366062,-6.2212966614998875,-5.4770072633065281,-5.3982642823494968,-5.8888567620553074,-5.9591859513558445,-5.4930647546090183,-5.7994507485665379,-5.3392757111825047,-6.3571780854500828,-5.2326768571175633,-5.2379931145943699,-5.8231190377511082,-6.1248058015145359,-6.0432237321175633,-6.0586279565133152,-5.1990746194161472,-5.7977875405587254,-5.6799820596016941,-5.2353085213936863,-5.8318871194161472,-5.2169026070870457,-5.7484263116158543,-5.0677164727486668,-5.508423679474741,-5.7000273400582371,-6.0327304536141453,-6.2344092065133152,-5.5369199448861179,-6.3334220582284031,-6.2132896119393406,-5.7791112595833836,-5.9049895936287937,-5.6211966210640965,-5.0892194443978367,-6.1054814988411961,-5.3443311387337742,-5.7632640534676609,-5.5107792550362644,-5.9925340348519383,-6.0116313630379734,-5.4791096383370457,-5.3072446519173679,-5.5963596040047703,-5.4898661309517918,-5.9866064721383152,-5.5977681809701023,-6.0059684449471531,-5.9642866784371433,-5.2662986451424656,-5.7654126817025242,-5.0087841683663425,-5.4355901414193211,-5.6280082398690281,-5.3360952073372898,-5.5685132676400242,-6.0200279885567722,-5.3996018105782566,-5.3638433152474461,-5.9462650948800144,-6.0231627160347996,-5.7078756028451023,-5.3460568124093113,-5.3954003983773289,-5.3247002297677097,-5.1755126649178562,-5.0755652123726902,-5.8730138474740086,-5.2855743104256687,-5.8428872758187351,-5.8968070679940281,-5.6920345956124363,-4.472365968827158,-5.5271786385811863,-6.0224155122078953,-4.9960721665658054,-5.2678822213448582,-5.5907281571663914,-5.6040223771370945,-5.5447462731637058,-5.2768815690316258,-5.6282089883126316,-5.5163015061654148,-5.6191514664925633,-5.7415689164437351,-5.2534431153573093,-6.0725492173470554,-5.4860662156380711,-5.8056019479073582,-5.3344272309578953,-5.4571069413460789,-5.1797989541329441,-5.3959749871529636,-5.925296180848032,-5.6979926759041843,-6.0896280938424168,-6.4130009347237644,-5.9415091210640965,-5.5412248307503758,-5.2964433366097508,-5.5755661660470066,-5.8213099175728855,-6.1728409463204441,-5.6546972924508152,-5.5775760346688328,-5.4664224320687351,-5.6370757752694187,-5.3552411729134617,-6.0912598305977879,-5.6369341546334324,-5.7004131013192234,-5.8644889527596531,-5.7232388192452488,-5.2029036217965183,-5.2785514527596531,-5.2538922959603367,-6.25950133145228,-5.8988321954049168,-5.4856384927071629,-5.2093313866890965,-5.3409093552865086,-6.0478628808297215,-6.3964275056160984,-5.4763725930489597,-5.7636789017952976,-5.1860245400704441,-5.1791127854622898,-6.0973647767342625,-5.7025231057442722,-5.3414553338326511,-5.8377684289254246,-5.7322076493538914,-5.9279640847481785,-5.7661789590157566,-5.8282102280892429,-5.0930021935738621,-5.9298237496651707,-5.3608812028206883,-5.6868876153267918,-6.0093773537911472,-5.3116773301400242,-5.5967267686165867,-5.8418825799264011,-5.6537359887398777,-5.0288318330086765,-5.9399326974190769,-5.858338230255991,-5.0883473092354832,-6.0411423379220066,-5.8218725854195652,-6.5008796387948093,-5.3025659257210789,-6.0911062890328465,-5.4109014207161961,-5.2523106271065769,-5.1373242074288425,-5.7402013474740086,-5.9681919747628269,-5.4591568642891941,-6.054481857422739,-5.5244868928231297,-5.4960130387581883,-5.8595412904061375,-5.3156188660897312],\"y\":[-2.4239424188975245,-1.060248257720843,-0.0031989534739405023,0.82002225319109856,-1.9023222645167261,-0.07431981166638435,-0.24890917738713325,-0.72892709089256824,-2.6646362264994532,-1.6714509447459132,-0.90599982639588417,-2.3076520880106837,0.90666511455737053,0.78360476890765129,-0.0071892460230738031,1.0902816335316747,0.10975864330492913,-1.4930325468424708,-1.6865774711016566,-2.5282889326456934,0.2322489897366613,0.4737764875050634,-2.3206523378733546,0.040917066728696216,-1.8718527277354151,-1.0547011216524989,-2.5049843510035426,0.58263471523486077,-0.33809483250416816,-0.0042112191561609613,1.3101433793660253,-2.5156374891642481,-0.66058179190196098,-1.4961245973948389,-2.3944978435877711,-0.52450566192902626,-0.37305695017613472,-2.5921070297602564,-2.5512525757197291,-2.8423815687540919,-0.22580784758366645,-2.1058399399165064,0.032660750543698658,-1.5147729237917811,-2.7303775270823389,-0.18605199655331672,-0.75979690825380386,-0.47790557345189155,0.37111750045977532,-1.2477879842165858,0.24557277361117302,-2.534595580900088,-0.97541529139317573,-2.9255004843119532,1.2918585816975683,-1.7989293058756739,-2.089099975431338,-0.6945296322349459,-0.55396698614396156,1.0733109990712255,0.79236331382952629,0.90493681827746331,0.96703484455309807,0.43656936088763176,-1.2767833789233118,-2.3413816412333399,-2.3667430599574,-3.4312649687174708,0.73083033958636223,-2.3397497852686793,-2.555000158155337,-0.081854196393862377,-2.6187299211863428,-0.81959226926602424,-2.2445436437968165,-2.1371415575388819,-0.63256122370995582,-0.86869067152775825,-1.3599250038508326,-0.89102895756997169,-0.5421614368800074,-1.2548774202708155,-0.303394796455279,-1.8503794391993433,-0.25962552627362312,-2.3545452078226954,-2.9843977411631495,0.4603710452672094,-0.60679900100268425,0.77471056381426751,-0.49307361444272102,-2.3902754505518824,-0.57716794511117042,1.0069606582280248,-2.7188754995707423,0.4815432111378759,-1.6154571493510157,-2.5282175262812525,-2.2374744137171656,-0.74580705364979805,0.63541057506762444,-0.041548641527071606,0.584676412736997,-0.47898596724309028,-0.063820513093844067,-0.85163870652951301,-1.6689185818079859,-1.208278807008639,0.16766300598345696,-3.1717403849009425,-0.51668662031926216,-2.2253373583201319,1.1124904433842748,-2.0713031013850123,0.68430438438616692,-0.44561726053990425,-1.7000657041911036,-2.6961437185648829,-2.6139056404475123,-2.5415188988093287,-0.46387927433289589,0.58100822368822991,-0.52378004988469185,0.30252352157793938,-3.302570434415713,-0.19752535423077644,-1.6426285227183253,-1.2037187536600977,-2.6689614971522242,-0.59392323544062675,-2.485010357702151,-0.55357498129643501,-1.966421695554629,1.1090861837025732,-0.28003990849293769,0.32085719505511223,-1.5454110821131617,-1.7415537556055933,-1.4735290130022913,-2.5246780832652003,-2.1143266876582056,0.45906033912859856,-0.46734926303662361,-3.1791225393656641,-0.26577314933575691,-1.6685838421229273,1.3025166074391454,2.9335071126576513,0.5133655349370092,-0.51868814429081977,-1.7872458418253809,1.5110184232350439,-1.2300030310992152,-1.2066546698454768,-2.6143294294718653,-2.6177423914317042,-1.0108128507975489,-0.79877247860468925,-0.31409719785489143,-1.3025124987009913,-2.3140825947169215,0.41521671215258538,-2.2987181862238795,-1.0797995050791651,-1.9105398376826197,0.51899733940325676,-1.5136269052866846,0.45066287914477288,-0.091579588258638989,-1.3130245526675135,0.11476179758273064,-0.18845281204022468,-1.0779137929324061,-2.3972980697993189,-1.8019695003870875,-2.9782463034037501,-1.0323364158514887,0.30194666782580315,-0.17712667783536018,-0.47259341379441322,-2.5780229290369898,-1.6972892006281763,-2.4918985088709742,-0.4765626957062632,0.59758129516802727,-0.057403357828035961,-0.93062654336728157,-1.2473947127703577,-1.5495269616488367,-2.4978031834010035,-2.0420862158183009,0.33577218452654778,-0.76057930489815773,-0.41820094188489021,-3.3232058008555323,-2.5770795067194849,-0.31931096514500679,-0.036010058725252758,-2.9598692377451807,-0.38724771341122688,-2.281199904287234,-3.4103980978373438,-0.40766781767643989,-2.5683570822123438,-2.4603950699213892,0.18474444547854363,-2.422739358747378,-0.80372051348723472,1.1226489822026342,-0.78446293076314033,-1.7862660606745631,-1.0091382583025843,-2.5390444715861231,-1.2197047789935023,-0.56570275327004493,-2.8032799681071192,0.88983025947771965,-1.3213318904284388,-0.76926513587869705,2.0702642480488866,-0.63595286955870689,-0.9315751661900431,1.6518577615376562,-0.25433305105008186,-0.59171976348198951,-0.027807446325197827,-2.6738413294199854,-0.7417087220940739,-2.4503285606745631,-3.294992776716128,-3.1253803690318018,-1.1817605515364558,-0.50720545848645271,-2.705123277509585,0.035058585798367847,-1.6979959925059229,-2.0426032265070826,-1.8615666349772364,-1.9412618597391993],\"z\":[1.7209126597205178,2.527021372870542,-1.1616564149102195,-1.8559828156670555,3.2410707121649756,-1.0455540770730003,-1.7735357636651023,-1.9872184151848777,1.5473641997138039,2.6814934855261816,-1.3942010754784568,-0.33500662986841051,-0.84139434043969952,-2.0481994504174219,0.22023350949678572,-2.3228574151238428,-0.56737945024576031,0.837201023654081,2.9908573275366797,1.9862050658026711,-0.17170277778711168,-1.7915833348473533,2.4751481657782568,-0.87906924430932842,3.3997888212958349,-1.3295537585457786,2.2881769781867041,-2.3060582036217676,-0.78535715286340557,-1.2004583234032615,-1.6618275994500145,1.5621211176672951,-2.1065354699334131,3.0720355158606543,0.94232525880727924,-1.849751507683657,-2.0330062264641748,2.0160249119559301,0.14952222462091597,1.6737135296622292,-0.94935015384759747,0.74750124867353596,-0.94834426586236797,3.1389162188330664,0.32490608300361784,-1.1544330472191795,1.0214734321394936,0.88445487077627338,-0.29914370719995348,-1.0816707963189109,-0.32863870803918688,-0.092906569882296008,0.74785491283331074,0.18445610459242018,-1.2093589657982811,3.7233423834601416,-0.49340949003305284,0.059543306187726575,-1.8433957452019676,-1.2986466044625267,-0.88790789787378155,-2.02537015621271,-1.6897497529229148,-1.2289797419747337,3.3604943400183691,1.3127427345076577,1.3196410780707375,1.1913472061911599,-1.9469058865746482,1.0154487734595314,1.4312659149924294,-1.6040673608025535,0.12375443632993849,-1.4128768796166404,0.77422132547292866,2.6971456652441992,-2.036694561882876,-1.0017899626931175,2.8106479292670263,0.7931694930354134,0.098663741902448254,-1.1353292817315086,-2.2370138520440088,-0.73369005863275372,-0.45105413143243639,1.4027789479056374,1.7184003239432351,-1.1653086299141868,-2.2032118195733057,-1.7908523434838279,-2.1815410012444483,2.2979336624899878,-0.360995268269442,-1.2482587451180442,2.0755170231619848,-1.052843605919741,2.9087946062842382,1.6430362110892311,2.6027874594489111,-1.3492400998314842,-1.486954843445681,-0.14174357597436754,-0.75427452270593487,-1.2737386578759178,-1.6466327065667137,-1.8502304906090721,3.4627344256201757,3.0283591395178808,-0.77350369636621319,0.82426616008672871,1.0397622233191506,-0.52546677534189068,-1.7740826958855613,3.1895594244757666,-0.73427704517450176,-2.2196486348351465,-0.46725687925424425,-0.08763489667978136,1.7370013838568703,0.55308466608915485,-0.35568419639673082,-2.3364601487359034,0.90753599460516132,-1.1180763596734031,1.2952232008734719,0.043047363118268567,2.8571991568366064,-1.0320638770302757,1.3689778691092507,-1.3047206753930076,1.1861673241415993,0.96773936803732075,-0.61603239719476544,-2.2865541333397852,0.47733135725650938,-0.85122517292108379,3.5315065031806006,2.8295335417548193,2.813250506476499,-0.17830512468423693,2.5517861491004004,-1.9490778798302635,-2.0694294327935205,1.0883080011168496,0.24303577299509199,3.4216956740180029,-1.4250539893349632,-2.2967899197777735,-1.7053244466027244,0.61508458311948933,2.6585242396155371,-1.7592449540337547,2.296513879851438,-1.2292689437111839,0.8907671218672768,-0.10765579883661119,-1.2360688800057396,-0.86720553581323467,-1.7001874798974022,-1.2176562899788841,-0.45528093521203844,-0.068795179768465442,0.24904445763025435,0.6631188338557259,2.2579960470953955,-1.4042799824913963,2.7577550059119238,-2.0003671998223291,0.18651787395868452,0.43843322451505812,-0.33383670990075914,-0.53754291479196392,2.773108208731748,0.54893437977228321,3.0268418436804785,1.4449412470618264,1.4355934506217018,-0.21482173149194567,-0.17167637292947618,-0.21886805240716783,0.57198853249941028,3.2400831824103369,-0.13236359302606432,-0.18778732959832994,-1.7135117406090721,-1.4591155404290184,-1.2075527066430076,-1.2754156941613182,2.884389365271665,2.0701118355551733,2.5993244295874609,-1.3153759593209251,0.87915643508825458,-1.0798709744652732,1.667353714064695,0.037134016112424451,-0.90237275306787335,-1.1737389916619285,1.7570126896658913,0.02872138674650343,2.4830815439978613,1.1477381830969826,-0.53395435754861675,1.2779807096282021,1.2107753997603432,-2.2431216592034326,1.6426313763419167,-1.9241636151513084,-1.3984380120476707,0.19010824914369734,2.7292859202185644,2.4331793432990088,-0.075243359251879138,-0.75211945716943585,0.86275687272939838,1.3238997703352944,-2.0534053200921045,3.2318439131537451,-0.60239753667917095,-2.0540738457879053,-1.4164207333764061,0.66361799295339741,-2.2756264561852442,-0.42767701093759386,-1.2472914809426292,-1.4120872372826561,0.075430149392224866,-1.9588947648247703,1.6331224089423195,1.5138283615866677,0.72607460077200092,0.54873485322389759,0.79618325288686909,1.1803533678809182,0.071157509640790539,3.2758783942023291,0.077136183337308484,3.4548844939032568,2.9304322844306006],\"text\":[\"Cell:CAGCCGAAGCGATATA
group.by:Ductal
color:Ductal\",\"Cell:CGGAGCTCATTGGGCC
group.by:Ductal
color:Ductal\",\"Cell:AGAGCTTGTGTGACCC
group.by:Ductal
color:Ductal\",\"Cell:ACGGCCACACGTGAGA
group.by:Ductal
color:Ductal\",\"Cell:AAAGCAACACGGTAAG
group.by:Ductal
color:Ductal\",\"Cell:CACTCCACATATGGTC
group.by:Ductal
color:Ductal\",\"Cell:ACGGGTCTCTATCGCC
group.by:Ductal
color:Ductal\",\"Cell:GCAGTTATCTTGAGAC
group.by:Ductal
color:Ductal\",\"Cell:CAGAATCCACGCATCG
group.by:Ductal
color:Ductal\",\"Cell:AGAGCGAGTTGGACCC
group.by:Ductal
color:Ductal\",\"Cell:TGGCGCAAGAAGATTC
group.by:Ductal
color:Ductal\",\"Cell:GTGCATACAATAGCAA
group.by:Ductal
color:Ductal\",\"Cell:AGCTCTCTCAACACGT
group.by:Ductal
color:Ductal\",\"Cell:ACGAGCCGTGACTACT
group.by:Ductal
color:Ductal\",\"Cell:TAAGTGCAGGGTTTCT
group.by:Ductal
color:Ductal\",\"Cell:CGGACTGAGGTAGCTG
group.by:Ductal
color:Ductal\",\"Cell:AGGCCACCACCTATCC
group.by:Ductal
color:Ductal\",\"Cell:CATATGGCATGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:ATCATCTTCTGTCAAG
group.by:Ductal
color:Ductal\",\"Cell:GTCAAGTGTGGTCCGT
group.by:Ductal
color:Ductal\",\"Cell:TTTGTCAGTTGTTTGG
group.by:Ductal
color:Ductal\",\"Cell:TTAGGACAGCTAAGAT
group.by:Ductal
color:Ductal\",\"Cell:AGCAGCCCAGGAATGC
group.by:Ductal
color:Ductal\",\"Cell:TGGCCAGCACGAAAGC
group.by:Ductal
color:Ductal\",\"Cell:TGGCGCACAATGTTGC
group.by:Ductal
color:Ductal\",\"Cell:CGTGTCTTCTTGTCAT
group.by:Ductal
color:Ductal\",\"Cell:CCTAAAGTCATGCAAC
group.by:Ductal
color:Ductal\",\"Cell:GAAATGACACATGACT
group.by:Ductal
color:Ductal\",\"Cell:ACTGAGTAGGCTAGGT
group.by:Ductal
color:Ductal\",\"Cell:GTTCTCGCAGCTGGCT
group.by:Ductal
color:Ductal\",\"Cell:ACTGAACAGCCTCGTG
group.by:Ductal
color:Ductal\",\"Cell:TTAACTCGTCCGAACC
group.by:Ductal
color:Ductal\",\"Cell:TCCCGATGTAAGTGTA
group.by:Ductal
color:Ductal\",\"Cell:GATCGCGAGCTGAACG
group.by:Ductal
color:Ductal\",\"Cell:ACCGTAATCTATCCCG
group.by:Ductal
color:Ductal\",\"Cell:GAACGGATCACAACGT
group.by:Ductal
color:Ductal\",\"Cell:CAGCTAACAACACGCC
group.by:Ductal
color:Ductal\",\"Cell:CAGATCATCTCGATGA
group.by:Ductal
color:Ductal\",\"Cell:GCGCCAAAGAGGTTAT
group.by:Ductal
color:Ductal\",\"Cell:GTAACTGTCAGTGCAT
group.by:Ductal
color:Ductal\",\"Cell:GATGAAAAGACAGACC
group.by:Ductal
color:Ductal\",\"Cell:AACTTTCGTGGTCCGT
group.by:Ductal
color:Ductal\",\"Cell:TCGTACCCATATACGC
group.by:Ductal
color:Ductal\",\"Cell:TGGTTCCGTTGATTCG
group.by:Ductal
color:Ductal\",\"Cell:ACGTCAACAGACAAAT
group.by:Ductal
color:Ductal\",\"Cell:CTTTGCGGTACTTGAC
group.by:Ductal
color:Ductal\",\"Cell:GGAACTTGTCGAACAG
group.by:Ductal
color:Ductal\",\"Cell:GAGGTGATCTAGCACA
group.by:Ductal
color:Ductal\",\"Cell:CGTAGCGTCACTATTC
group.by:Ductal
color:Ductal\",\"Cell:AAACGGGCACTGTGTA
group.by:Ductal
color:Ductal\",\"Cell:CGTTCTGTCCGCGGTA
group.by:Ductal
color:Ductal\",\"Cell:ACTGATGAGTGCAAGC
group.by:Ductal
color:Ductal\",\"Cell:GAGTCCGCAATTGCTG
group.by:Ductal
color:Ductal\",\"Cell:TTTCCTCTCTGAAAGA
group.by:Ductal
color:Ductal\",\"Cell:GTCATTTGTCTCAACA
group.by:Ductal
color:Ductal\",\"Cell:GACTAACCACTCGACG
group.by:Ductal
color:Ductal\",\"Cell:GAATAAGTCTGATACG
group.by:Ductal
color:Ductal\",\"Cell:CAGGTGCAGACTTGAA
group.by:Ductal
color:Ductal\",\"Cell:GAGGTGAAGCTACCTA
group.by:Ductal
color:Ductal\",\"Cell:TGGCGCAGTGTATGGG
group.by:Ductal
color:Ductal\",\"Cell:GTCTTCGTCCTACAGA
group.by:Ductal
color:Ductal\",\"Cell:TGCCCTACAATCACAC
group.by:Ductal
color:Ductal\",\"Cell:TCACAAGAGCCACTAT
group.by:Ductal
color:Ductal\",\"Cell:TGGTTCCAGGAATGGA
group.by:Ductal
color:Ductal\",\"Cell:GATCGCGTCTGGAGCC
group.by:Ductal
color:Ductal\",\"Cell:CCGTACTGTTACTGAC
group.by:Ductal
color:Ductal\",\"Cell:TCAACGACACCATCCT
group.by:Ductal
color:Ductal\",\"Cell:CGTCCATCATGGTAGG
group.by:Ductal
color:Ductal\",\"Cell:CTAGCCTGTGCGATAG
group.by:Ductal
color:Ductal\",\"Cell:GACCAATGTACGAAAT
group.by:Ductal
color:Ductal\",\"Cell:GTATTCTTCAGGTAAA
group.by:Ductal
color:Ductal\",\"Cell:TACCTATGTAACGTTC
group.by:Ductal
color:Ductal\",\"Cell:CCAGCGACAGCGATCC
group.by:Ductal
color:Ductal\",\"Cell:CGCTGGACATCCTAGA
group.by:Ductal
color:Ductal\",\"Cell:ACTGTCCAGGTTCCTA
group.by:Ductal
color:Ductal\",\"Cell:CCACGGAGTCTTGATG
group.by:Ductal
color:Ductal\",\"Cell:AGATTGCCACCAGGCT
group.by:Ductal
color:Ductal\",\"Cell:CACCAGGGTACCTACA
group.by:Ductal
color:Ductal\",\"Cell:GAATGAACAGCCTTGG
group.by:Ductal
color:Ductal\",\"Cell:CGCTGGAAGGGCATGT
group.by:Ductal
color:Ductal\",\"Cell:TAAACCGCATTCCTCG
group.by:Ductal
color:Ductal\",\"Cell:CACAGTAGTTCCTCCA
group.by:Ductal
color:Ductal\",\"Cell:TCGCGAGCACACATGT
group.by:Ductal
color:Ductal\",\"Cell:ACGGCCACACGCTTTC
group.by:Ductal
color:Ductal\",\"Cell:TGAGGGACAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:CAGCGACCACAGGAGT
group.by:Ductal
color:Ductal\",\"Cell:GGACAGATCCTGCAGG
group.by:Ductal
color:Ductal\",\"Cell:AACTTTCCACTGCCAG
group.by:Ductal
color:Ductal\",\"Cell:TGCACCTAGTACGCGA
group.by:Ductal
color:Ductal\",\"Cell:GAACGGACAAGGTGTG
group.by:Ductal
color:Ductal\",\"Cell:CGAGCACTCTACCTGC
group.by:Ductal
color:Ductal\",\"Cell:CATCGAAAGATGTTAG
group.by:Ductal
color:Ductal\",\"Cell:ACTTTCAAGGATATAC
group.by:Ductal
color:Ductal\",\"Cell:GATCAGTGTATAATGG
group.by:Ductal
color:Ductal\",\"Cell:AGCGTATCAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:CGAATGTAGTTCCACA
group.by:Ductal
color:Ductal\",\"Cell:AGCTTGATCTGACCTC
group.by:Ductal
color:Ductal\",\"Cell:CCGTACTGTTCCACTC
group.by:Ductal
color:Ductal\",\"Cell:CTTACCGCAAAGTCAA
group.by:Ductal
color:Ductal\",\"Cell:CGGTTAATCGTCTGAA
group.by:Ductal
color:Ductal\",\"Cell:CTCGTCATCGGTCTAA
group.by:Ductal
color:Ductal\",\"Cell:ATCATCTAGTGATCGG
group.by:Ductal
color:Ductal\",\"Cell:GAGGTGAGTGACAAAT
group.by:Ductal
color:Ductal\",\"Cell:TCTTTCCGTTATGTGC
group.by:Ductal
color:Ductal\",\"Cell:CCCAGTTAGGTGCTAG
group.by:Ductal
color:Ductal\",\"Cell:GAATGAACAATCGAAA
group.by:Ductal
color:Ductal\",\"Cell:GACTACACATATGAGA
group.by:Ductal
color:Ductal\",\"Cell:GTGCTTCTCCAAACTG
group.by:Ductal
color:Ductal\",\"Cell:GCTCCTAGTCGGGTCT
group.by:Ductal
color:Ductal\",\"Cell:CGTGAGCAGTCTCAAC
group.by:Ductal
color:Ductal\",\"Cell:ACGCCAGGTTCTGAAC
group.by:Ductal
color:Ductal\",\"Cell:GGACGTCCAGTATCTG
group.by:Ductal
color:Ductal\",\"Cell:TGACTAGCACGGTGTC
group.by:Ductal
color:Ductal\",\"Cell:CTCGAGGTCAACTCTT
group.by:Ductal
color:Ductal\",\"Cell:AACTCTTAGCTGCGAA
group.by:Ductal
color:Ductal\",\"Cell:CGTGTCTGTAGTGAAT
group.by:Ductal
color:Ductal\",\"Cell:ATCCGAACACGGTAGA
group.by:Ductal
color:Ductal\",\"Cell:TACGGGCAGATTACCC
group.by:Ductal
color:Ductal\",\"Cell:GCGCAGTGTCCTAGCG
group.by:Ductal
color:Ductal\",\"Cell:GTGCATAAGAATGTTG
group.by:Ductal
color:Ductal\",\"Cell:GGACATTAGAAACCAT
group.by:Ductal
color:Ductal\",\"Cell:CATGACACATCCGCGA
group.by:Ductal
color:Ductal\",\"Cell:ACGGGTCAGGGTGTTG
group.by:Ductal
color:Ductal\",\"Cell:ACTGTCCGTGCGATAG
group.by:Ductal
color:Ductal\",\"Cell:AACTCAGTCTGGTTCC
group.by:Ductal
color:Ductal\",\"Cell:TGCGGGTTCTCAAACG
group.by:Ductal
color:Ductal\",\"Cell:CAGCCGAAGTAGGTGC
group.by:Ductal
color:Ductal\",\"Cell:GCTGCAGCAATCCAAC
group.by:Ductal
color:Ductal\",\"Cell:CGCTTCATCAGTTCGA
group.by:Ductal
color:Ductal\",\"Cell:GATCTAGGTGCCTTGG
group.by:Ductal
color:Ductal\",\"Cell:TTGGCAATCGAACGGA
group.by:Ductal
color:Ductal\",\"Cell:CATCGAAGTTACGCGC
group.by:Ductal
color:Ductal\",\"Cell:GTCAAGTCAAAGTGCG
group.by:Ductal
color:Ductal\",\"Cell:GGGAATGCACATTTCT
group.by:Ductal
color:Ductal\",\"Cell:CAGCTAAAGAGCCCAA
group.by:Ductal
color:Ductal\",\"Cell:GTGCAGCGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:AACGTTGCATGGGACA
group.by:Ductal
color:Ductal\",\"Cell:TCGCGAGTCAACGCTA
group.by:Ductal
color:Ductal\",\"Cell:CGAACATTCACAAACC
group.by:Ductal
color:Ductal\",\"Cell:TCTATTGTCACATAGC
group.by:Ductal
color:Ductal\",\"Cell:TGAGCATTCGGGAGTA
group.by:Ductal
color:Ductal\",\"Cell:TTGTAGGCATACTCTT
group.by:Ductal
color:Ductal\",\"Cell:GTAACGTGTCACTGGC
group.by:Ductal
color:Ductal\",\"Cell:GGTGCGTGTCCGAGTC
group.by:Ductal
color:Ductal\",\"Cell:CCTTCCCCAAAGTGCG
group.by:Ductal
color:Ductal\",\"Cell:CTGATAGAGCTCAACT
group.by:Ductal
color:Ductal\",\"Cell:GTTCATTAGGGTCTCC
group.by:Ductal
color:Ductal\",\"Cell:CCAATCCAGAGTAAGG
group.by:Ductal
color:Ductal\",\"Cell:GCTCCTATCTCACATT
group.by:Ductal
color:Ductal\",\"Cell:CTACCCAGTCAAACTC
group.by:Ductal
color:Ductal\",\"Cell:TGGCCAGAGCTACCTA
group.by:Ductal
color:Ductal\",\"Cell:CGATTGAAGTCTTGCA
group.by:Ductal
color:Ductal\",\"Cell:TTCGGTCGTCACAAGG
group.by:Ductal
color:Ductal\",\"Cell:GTCTCGTCACGTGAGA
group.by:Ductal
color:Ductal\",\"Cell:AGAGCTTGTTAAAGAC
group.by:Ductal
color:Ductal\",\"Cell:GCTCTGTTCGCTTAGA
group.by:Ductal
color:Ductal\",\"Cell:CTGATCCTCAGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:CACAGTATCTTAGAGC
group.by:Ductal
color:Ductal\",\"Cell:TTAGGCAGTAGCGTAG
group.by:Ductal
color:Ductal\",\"Cell:ACTGAACAGTACATGA
group.by:Ductal
color:Ductal\",\"Cell:GGAAAGCGTACGCACC
group.by:Ductal
color:Ductal\",\"Cell:CCCTCCTGTCTAACGT
group.by:Ductal
color:Ductal\",\"Cell:GCTGCTTGTCTTCAAG
group.by:Ductal
color:Ductal\",\"Cell:ATAAGAGTCCACGTTC
group.by:Ductal
color:Ductal\",\"Cell:CACCACTGTCGGCTCA
group.by:Ductal
color:Ductal\",\"Cell:ACGAGCCCACTCTGTC
group.by:Ductal
color:Ductal\",\"Cell:CACAGTATCAGAGGTG
group.by:Ductal
color:Ductal\",\"Cell:TTGAACGGTGATGCCC
group.by:Ductal
color:Ductal\",\"Cell:ATCATGGTCCAGAGGA
group.by:Ductal
color:Ductal\",\"Cell:AGCTTGACAGTAAGAT
group.by:Ductal
color:Ductal\",\"Cell:CGTCACTGTCAGGACA
group.by:Ductal
color:Ductal\",\"Cell:CGGAGCTGTTCTGAAC
group.by:Ductal
color:Ductal\",\"Cell:CAACTAGAGCTTCGCG
group.by:Ductal
color:Ductal\",\"Cell:GGAAAGCGTCTTGATG
group.by:Ductal
color:Ductal\",\"Cell:CATCCACAGTCACGCC
group.by:Ductal
color:Ductal\",\"Cell:TCAGGTACACTGTCGG
group.by:Ductal
color:Ductal\",\"Cell:GGGCATCCATGACATC
group.by:Ductal
color:Ductal\",\"Cell:GACGCGTCATTTCAGG
group.by:Ductal
color:Ductal\",\"Cell:ATTGGTGTCCAGTATG
group.by:Ductal
color:Ductal\",\"Cell:GGGCACTTCTAACTGG
group.by:Ductal
color:Ductal\",\"Cell:TTCTCAACAGTTTACG
group.by:Ductal
color:Ductal\",\"Cell:GGAATAACACGACGAA
group.by:Ductal
color:Ductal\",\"Cell:CGTTAGAAGTATCTCG
group.by:Ductal
color:Ductal\",\"Cell:CCTATTACAAACGTGG
group.by:Ductal
color:Ductal\",\"Cell:AGATTGCAGCTAGTCT
group.by:Ductal
color:Ductal\",\"Cell:ATTGGTGGTACTTGAC
group.by:Ductal
color:Ductal\",\"Cell:CTCAGAATCTGGCGAC
group.by:Ductal
color:Ductal\",\"Cell:CAGCCGAAGTGACTCT
group.by:Ductal
color:Ductal\",\"Cell:GAATGAATCTGGTATG
group.by:Ductal
color:Ductal\",\"Cell:CATGCCTAGCGATGAC
group.by:Ductal
color:Ductal\",\"Cell:CTCAGAATCAACACTG
group.by:Ductal
color:Ductal\",\"Cell:AGAGCGAAGTAGATGT
group.by:Ductal
color:Ductal\",\"Cell:CTAGCCTGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:AACTGGTTCGTGACAT
group.by:Ductal
color:Ductal\",\"Cell:ACTGAGTGTTTCGCTC
group.by:Ductal
color:Ductal\",\"Cell:AGAGCGATCTCTTGAT
group.by:Ductal
color:Ductal\",\"Cell:GAAGCAGTCAAGGCTT
group.by:Ductal
color:Ductal\",\"Cell:CACACTCAGGCGCTCT
group.by:Ductal
color:Ductal\",\"Cell:TTTATGCTCCATTCTA
group.by:Ductal
color:Ductal\",\"Cell:GACGTGCTCCTCTAGC
group.by:Ductal
color:Ductal\",\"Cell:TTAACTCCAAAGAATC
group.by:Ductal
color:Ductal\",\"Cell:CGTGTAATCCATGCTC
group.by:Ductal
color:Ductal\",\"Cell:CTCGTACGTTCCGTCT
group.by:Ductal
color:Ductal\",\"Cell:CACACAACACACTGCG
group.by:Ductal
color:Ductal\",\"Cell:CATCCACTCTTCTGGC
group.by:Ductal
color:Ductal\",\"Cell:CTCGTACCAATGGATA
group.by:Ductal
color:Ductal\",\"Cell:TGTGGTACAAGACGTG
group.by:Ductal
color:Ductal\",\"Cell:AATCGGTCATGTTGAC
group.by:Ductal
color:Ductal\",\"Cell:TCTGAGATCGTAGGTT
group.by:Ductal
color:Ductal\",\"Cell:CCTAGCTCAGACTCGC
group.by:Ductal
color:Ductal\",\"Cell:CTGATAGTCGGCTACG
group.by:Ductal
color:Ductal\",\"Cell:CGAGCACGTCCATCCT
group.by:Ductal
color:Ductal\",\"Cell:TGCTGCTGTCCGTCAG
group.by:Ductal
color:Ductal\",\"Cell:TATCAGGGTCGAATCT
group.by:Ductal
color:Ductal\",\"Cell:CGTCACTCAAAGGTGC
group.by:Ductal
color:Ductal\",\"Cell:CGTGTCTTCCTTTCGG
group.by:Ductal
color:Ductal\",\"Cell:CATCAGAGTCCGAATT
group.by:Ductal
color:Ductal\",\"Cell:GCGCCAATCGGACAAG
group.by:Ductal
color:Ductal\",\"Cell:ATTGGACAGTCAAGGC
group.by:Ductal
color:Ductal\",\"Cell:TCTGGAATCGGTGTCG
group.by:Ductal
color:Ductal\",\"Cell:GACGTTAAGACGCAAC
group.by:Ductal
color:Ductal\",\"Cell:CCACGGAGTCTCTTAT
group.by:Ductal
color:Ductal\",\"Cell:CCATTCGCATGAAGTA
group.by:Ductal
color:Ductal\",\"Cell:GCGCAGTCACCATCCT
group.by:Ductal
color:Ductal\",\"Cell:TAGTTGGGTACCGTAT
group.by:Ductal
color:Ductal\",\"Cell:GGAAAGCTCTCGGACG
group.by:Ductal
color:Ductal\",\"Cell:GTGTGCGTCTCTGAGA
group.by:Ductal
color:Ductal\",\"Cell:ACGTCAACACGGTGTC
group.by:Ductal
color:Ductal\",\"Cell:TGTATTCCAATGACCT
group.by:Ductal
color:Ductal\",\"Cell:GATCGTAGTCCTAGCG
group.by:Ductal
color:Ductal\",\"Cell:AACTGGTGTACAGTGG
group.by:Ductal
color:Ductal\",\"Cell:TAAACCGAGTCGTACT
group.by:Ductal
color:Ductal\",\"Cell:CGTAGGCTCGCGCCAA
group.by:Ductal
color:Ductal\",\"Cell:ATTCTACTCAGGTAAA
group.by:Ductal
color:Ductal\",\"Cell:CTGATCCCAAGCGTAG
group.by:Ductal
color:Ductal\",\"Cell:AGCCTAAAGCCCAACC
group.by:Ductal
color:Ductal\",\"Cell:CAACCAATCGGGAGTA
group.by:Ductal
color:Ductal\",\"Cell:TGTCCCATCTTGACGA
group.by:Ductal
color:Ductal\",\"Cell:ATAAGAGTCCGAACGC
group.by:Ductal
color:Ductal\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":\"rgba(166,206,227,1)\",\"size\":1.5,\"line\":{\"color\":\"rgba(166,206,227,1)\"}},\"showlegend\":true,\"visible\":true,\"name\":\"Ductal\",\"textfont\":{\"color\":\"rgba(166,206,227,1)\"},\"error_y\":{\"color\":\"rgba(166,206,227,1)\"},\"error_x\":{\"color\":\"rgba(166,206,227,1)\"},\"line\":{\"color\":\"rgba(166,206,227,1)\"},\"frame\":null},{\"x\":[-5.3666280442513523,-5.1829670602120457,-5.3985317879952488,-5.9616588288582859,-4.206093185547739,-4.7807520562447605,-5.0173948937691746,-5.2147434884347019,-5.32397305310145,-6.37182461560145,-5.3119543725289402,-6.477021091584116,-5.1964877778328953,-5.8063710862435398,-5.8526018792428074,-4.8945668870247898,-5.5241459542550144,-5.7354863816536961,-5.8222106629647312,-5.458196514252573,-5.9495462113656101,-4.5778638058938084,-5.8642514878548679,-5.1970995599068699,-5.5565107995308933,-6.1315530473031101,-5.4468868905343113,-6.110382907990366,-5.6430138284005222,-5.2171081239022312,-5.2775639230050144,-5.9344409638680515,-5.1835802727974949,-5.066432827118784,-4.7719811135567722,-5.7158354455269871,-4.9079335862435398,-5.9147142106331883,-5.1179498368538914,-5.939667575959116,-5.761318081025034,-4.6927961045540867,-6.1529258424080906,-5.9280646973885593,-5.4941357308663425,-5.9965819054879246,-5.9584807091988621,-6.2223313981331883,-6.1973417931832371,-5.936590068940073,-5.3260720902718601,-5.6700743371285496,-5.7990935975350437,-5.689214580658823,-5.3465093308724461,-5.9925941163338718,-5.4850720101632175,-4.8173636132515965,-5.7200759583748875,-5.3801878625191746,-5.6688474351204929,-5.2021268540658054,-5.7185310059823093,-5.2154592210091648,-5.8190969163216648,-5.8522084885872898,-5.8279870682992039,-5.1990946465767918,-6.1945279771126804,-5.7646449738778172,-4.742568605545908,-5.3095802003182468,-5.8058999711312351,-5.7662848168648777,-4.6041163140572605,-5.4807642632760105,-5.920357101563364,-6.493007534150034,-4.990298622254282,-5.1815284425057468,-6.0575002366341648],\"y\":[-1.3609242161158472,-3.361192556226626,0.68722930351458489,-1.5227970202807337,3.2370296994801611,2.4415027181264013,1.9006220380421728,-3.5910142382029444,1.0953157226201147,0.34391608635149895,-3.3848780115488917,-0.27822473844327034,1.7524751702900976,-0.79395885964669288,-0.078191729390993725,2.1802228967305273,0.075537113344296802,0.93267014423571526,-1.6452137549761683,-0.62760734757222236,0.66038360992632805,2.724437622224912,-1.854727359617129,-2.6569406708125025,0.29429247776232659,-0.31161385973729194,1.0362267772313207,0.15898248354159294,1.3160141984578222,-3.3243452032450587,1.7180282155629247,-1.4715509136561304,-3.2999371012095362,1.7567495385762304,2.3767744580861181,-2.1765366514567286,2.1503387967702001,-0.25588000019825996,1.5315343419667333,-0.26172504028119148,-0.017684849107638012,2.5411118547078222,0.1392575780507177,-1.5013940056208521,0.97515573898516594,-0.32605084975995124,0.82027926841937004,0.48376431862078606,0.0086186210270970953,1.0017936507817358,-2.3959475477579981,-2.1494072397593409,-1.5018984397295863,0.4845412055607885,0.82663360038958489,-0.55044420262612404,1.6344713250752538,2.3286994973774999,1.3997396508809179,1.3177145997639745,0.89430573383532463,-3.387439819181338,1.4095458070393652,-3.2321222742442042,1.1436475793477148,-1.7195602377299219,-0.61843190541304649,-3.3262511213663966,0.69464531341753899,1.2206509391423315,2.4513479749318212,0.31395700374804436,-1.8524055202845484,-2.099086376035586,2.6894771138783544,1.6846672574635595,-1.6100386103037745,0.001632181799039234,1.986632732545957,0.97853210369311272,-1.0947847386244685],\"z\":[2.9518279677191748,1.3017032986441628,-1.9399180764397606,3.6978158598700537,-2.1789520138939844,-2.265229021950625,-2.2787847871026026,1.3253179436484352,-2.2135410660943018,-0.93923786823358379,1.0894958620825783,-1.4219024533471092,-2.0867083424767481,-1.5206691378792747,-0.75032225792016827,-2.3108218068322168,-0.67585364524926983,-1.3561985844811424,3.8996264582434668,-0.64909449760522686,-1.76178578083124,-2.2377672547539698,3.5967497473517431,-0.30704352800454943,-1.7225137109002098,-1.3853454941948875,-2.1559827679833399,-0.86793092434015118,-1.3924358243187889,1.4042644148627297,-1.821381842537783,3.5530161505499853,0.98550584371481098,-2.3419442528923975,-2.1788525933464991,3.2558207159796728,-2.2525081986626612,0.53705961461458362,-2.2550762051781641,-1.9782958382805809,0.091932917193509656,-2.1630576008995996,0.074111575440503674,3.7152385359564795,-2.1676068658074366,0.53535660560522236,-1.2108956927498802,-0.54538110439386212,-1.3287616128167137,-1.5036745423516258,-0.37801322881784288,3.1907698756018652,3.613076413230039,-2.3255999440392481,-2.1386235112389551,-1.9102948064049705,-1.6672747487267479,-2.2741632813652979,-1.2433543557366356,-1.8756244534691795,-1.6513920182427391,1.3640479093352333,-1.6264961117943748,1.6988180523673073,-1.7870245331963523,3.5120024328986181,-1.7200847024163231,1.2466590052405373,-0.77255121414270245,-1.1383841389855369,-2.2288358563622461,-1.8078728074273094,3.7306248789587988,3.3254556303778662,-2.2689855450829493,-1.5432904118737205,3.6391958838263525,-0.025705700560472888,-2.3450262898644434,-2.0848410481652246,3.0285789614478125],\"text\":[\"Cell:GATGAAAAGTTGTAGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTCGTACAGAGGTTAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCTGCTTTCCTCGCAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGGTCTGGTAAACCTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGACAGAAGTGGAGAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTAATGGAGCCGGTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGAACATCAAGCGAGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCACGGACAGATGAGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TTCTACAAGATCGATA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCGCGATTCGCGTAGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGCGCAGTCTGCCAGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAGAATCGTGTAAGTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGACTTTAGGTCATCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AAAGATGAGTGAACAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGGCCACAGCTGTCTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AACTCAGAGAGCTGCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCTGCTTTCTGGTGTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGTAGTCCACATGACT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGTTCCGGTCAGCTAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCACATAAGCAATATG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGTGGTACAGTCGATT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTCAGGAGTCATCCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTTCGGGAGTCACGCC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCTCTGATCATGTCTT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCACATATCACGGTTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TACGGATAGTTTAGGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTCAGAATCAGGTTCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AAGGCAGTCCGAGCCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGCGACTCACCAGGTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCTTCGATCAAGAAGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGCTGGACACGGTAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAGTAACCATGCCTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTTAACTGTCGGGTCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCTACACAGATCCGAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCACTCTTCCGGCACA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CAAGGCCTCGTACCGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGGCACTTCACGAAGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ACTGATGTCCCTAACC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GATCAGTTCGGCGCAT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TAAGCGTAGATCGATA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TATGCCCTCTTCCTTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCTTCGATCCTGCTTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GCTGGGTCACGAGGTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AACACGTTCCGCGCAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCTTTCCTCGTCTGCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GAGGTGAGTCCGAGTC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGTCCCAAGTTTAGGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGGGAGTCACCGAATT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGCGTGGAGGTAAACT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGAGTGGGTCACCTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GACCAATAGCCGGTAA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCGGGATGTACCGCTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CATATGGTCAACACAC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGTGGGAGTGGTCCGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AACTTTCGTGACCAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGCTACCCAGGGCATA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGAACTTAGGTTACCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TTAGGACGTTCAGTAC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTTTGCGAGGAATGGA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CGTCACTCATAGTAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTACTCCCACGTCTCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGCTCCTAGTACACCT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCTGAGATCTGAGTGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGATTGCTCCATGAGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCTTACGCAAGGTGTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CTCGTCATCTTCTGGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TTCTACAGTGTTGAGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ACTGCTCAGATATGCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ACATGGTCAAGGACTG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGCGTGTGTCCGACGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCTGAGATCTTGCAAG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TGACTAGCAAAGGTGC
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCTCATACAGATCTGT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TATGCCCTCTTACCTA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TTGTAGGGTTGTTTGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GGGAATGGTCGGCTCA
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:GTATTCTAGGTGCTTT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:AGGCCGTAGAGGACGG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:TCACGAATCCTATGTT
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:CCACTACAGAGTACCG
group.by:Ngn3 low EP
color:Ngn3 low EP\",\"Cell:ATGGGAGTCGGTTCGG
group.by:Ngn3 low EP
color:Ngn3 low EP\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":\"rgba(31,120,180,1)\",\"size\":1.5,\"line\":{\"color\":\"rgba(31,120,180,1)\"}},\"showlegend\":true,\"visible\":true,\"name\":\"Ngn3 low EP\",\"textfont\":{\"color\":\"rgba(31,120,180,1)\"},\"error_y\":{\"color\":\"rgba(31,120,180,1)\"},\"error_x\":{\"color\":\"rgba(31,120,180,1)\"},\"line\":{\"color\":\"rgba(31,120,180,1)\"},\"frame\":null},{\"x\":[2.2261005705557766,2.1073290175162258,2.9162017172537746,1.5391832655631006,0.99059940039739014,-2.0335786277092991,0.38131273448094727,3.030913478728384,-2.6897437506951389,-2.6104623013772068,-0.54905425846949218,1.6613651579581201,-1.8538612061776221,-0.83209495336189865,2.0549773043356838,0.098260707255452884,-2.8081093961037693,1.0950797861777246,2.9624165362082424,-4.4374476605691013,-1.624504380825907,-4.3515030080117283,2.5913709467612209,-4.4706221753396092,2.4976972407065334,-1.3357294732369482,-5.9334925347603855,-2.4768989020623264,-1.037919633988291,2.3759418791495266,2.7511712378226223,1.5081285303793848,-0.72175849691405891,0.64330697714909912,-3.0602270299233494,-1.4495434695519507,2.8299533194266262,-4.2111350232399998,0.23066902815923096,1.9107128447256982,0.70927036463841797,-5.8193434411324558,-1.0728792184628546,-3.1521202260293064,-2.0283108884133396,3.2670952147208157,-5.9730290108956394,2.1166299647055569,-4.364221208695322,1.3716536825858057,3.0642060106955471,1.272380716200918,1.0198576515875757,0.31130755602940918,0.48062289416417481,-2.3665174180306492,-5.9691227608956394,-4.2681220704354343,1.7590841120444238,2.3529039686881008,-0.9730303221978247,-3.8963805371560154,1.8053032225333154,1.4098991221152246,1.1200755900107324,2.8175944155417385,-0.59149248242750763,-3.3063419991768894,-0.87759719878807663,-0.5074914628304541,-3.2771187955178318,1.9640537565909326,-0.085499518517404782,-4.0895787411965427,-0.86872646302357315,2.4695133036337795,-2.384531849030405,1.4761222666464746,-3.9497762852944431,-3.4777868920601902,0.21113300978764893,-1.4480543667115271,-3.8526743584908543,1.3883909052573145,3.1511603659354153,-3.804554575089365,3.0774141615591946,0.93153310477361084,1.4240881270132959,2.2761439150534573,0.052783197756856692,2.5774887865744533,-0.94558409691229461,0.027312404509633792,1.9600929087363184,-1.161150538329035,2.0367411440573635,-1.1332349711693823,-3.4096795254983006,-2.2627447778023777,0.045447177287191165,-4.5587662392891941,0.053109652396291507,-1.2834967309273779,-4.200078838471323,-3.4720481568612156,0.63916409670934082,-1.5372922354973853,-1.2227924102582037,-4.1958619290627537,-1.2761777573861182,2.6533113783560696,0.9623799389563501,-4.1175070935524998,-1.0130716794766486,-1.6983771258629858,-0.42723717630282043,3.1376510924063625,1.9586480921469629,0.26568508803471924,0.054381198283284915,-1.6567391091622412,-5.8124340707100925,1.3539816206656397,1.1747036045752466,2.9863430327139797,1.6804815596304834,-2.8448234730996189,-3.0699297124184666,-0.72990534544363617,1.5948706930838525,2.3977209395132961,-4.2920180493630467,1.7521566218100488,1.3041571444235742,3.0737329786978664,1.1023757523261011,1.7036799257956445,0.59107614218816162,2.3053306406699123,2.9427760904990139,1.3651951616965234,-2.5972028905190525,-2.0195505553521214,-3.0853332215584812,-1.1161883407868445,-1.4426591330803931,-0.39783977806940674,1.6526974505148828,1.1953849858008325,2.820102817412466,-2.4362351828850803,-2.8257852727212009,3.0882600611411037,0.37636244952306153,-0.12059801161661743,-4.0914295846261082,-4.4639335805214939,-2.6130442553795872,-3.0593122178353367,0.73053050696477295,-3.4760218793191013,1.3216131991110742,-4.2893997365273533,-4.0317429238595066,0.63557816207036377,-5.845271938446909,-2.9065550500191746],\"y\":[5.2746326009389009,5.4130541364308442,5.4319583455678071,6.2332655469533051,6.1666990796681489,5.3556334058400239,6.3171145002003755,5.2868897000905122,4.8468886891957368,4.9130069295521821,6.13976636329852,6.2563449422474946,5.4354602376576509,6.1034232656117524,5.5023647824879731,5.8229342977162446,4.7440544644948091,6.2671872655507173,5.0375486890431489,3.053478149568662,5.6170193235035981,3.2245275060292333,5.7760783712025727,2.9275032559987157,5.709130434190854,5.8569709340687837,-2.2853716333750635,5.0284039060231294,5.862429765855893,5.8193899671193208,5.4614092389699067,6.1978861371632661,6.0330149213429536,6.2791606465931977,4.5317422429677094,5.8063866178151216,5.2906090299244966,3.2060834447499365,6.0053149739857759,6.1403819600697602,5.9290868322011079,-2.4628283699396998,5.7512680570241059,4.4477821866627778,5.3866788426991548,4.6404534856434907,-2.0194360931757838,6.0664698163624848,3.1053611318226904,5.6490041295643891,5.1439806501027192,5.9288293401356782,6.3557030240651216,6.2044831792470063,6.2774120847340669,5.1079546491261567,-2.3111585100535303,3.1498731652852148,6.2456165830250825,5.6828376332875337,5.7339288274403657,3.6446587125416845,6.1587616483326997,6.3113709966298188,6.5101992169972505,5.3173429051991548,6.0811940709706391,4.2911726514454926,5.8067003766652192,6.1516915837880219,4.3087302724476899,6.1059791127797212,6.155241159593686,3.4106136838551611,5.7471791783925141,5.5046383420582856,5.0971418897267426,6.0172392408009614,3.5790030042286962,4.1195961515065278,6.0665365735646333,5.9222551862355317,3.6644283811207861,6.5097676793690766,5.1191674749013032,3.7342983762379736,5.1614891568776216,6.5140706578847016,6.2066051046010102,5.8738400022145356,6.3667241613026704,5.6343637982960786,5.7960950414296235,5.9886652509327973,5.5834752599354829,5.8752571622487153,5.6014906446095551,5.8410164395924653,4.2020098249074067,5.1850587407704438,6.1284867803212251,2.7336803952809423,6.1840998212452973,5.9258219281788911,3.3085028211232275,4.1155492345448579,6.0061265508290376,5.63598218361102,5.893799451982602,3.2949859181996435,5.6860047856923188,5.159546522295102,6.3522821942921723,3.3782621900197118,6.0290595571156587,5.5554124395009126,5.9120933095570649,5.0785557309743012,5.1376625577565278,6.1707736531849946,6.1084958593007173,5.6331044713612641,-2.0892197807673365,6.5054933110829438,6.4476925412770356,4.3693019429799165,6.2552506009694184,4.7233945409413423,4.447622923051938,6.0066849271412934,5.8363801519032563,5.3818947354909028,3.1574496308919042,6.1509872953053559,6.3953572789784516,4.580111650621518,6.4420615712758149,6.0136028806325044,5.9267965833302583,5.8210684339161958,5.3366757909413423,6.5767537633534516,4.927673963701352,5.3576818982716645,4.4954034368153657,5.8734637776967134,5.6830383817311372,6.1165787259694184,6.33929028907977,6.3083335439320649,5.3751651326771821,5.0579430142994966,4.7141295949574555,4.8203302899952973,6.2412511388417329,6.1266581098195161,3.4219328443165868,2.9060088674183935,4.8964935819264497,4.5343104879017915,6.2357431928273286,4.1006461660023774,6.3245631734486665,3.1740800420399755,3.4705716649647802,6.1151291410084809,-2.3007143457774073,4.6611811200734223],\"z\":[-0.44043216650094835,-0.5616598481377586,-0.31387249176111071,-1.2055859917839988,-1.3542396182259544,-2.1132080907067285,-1.6255686635216697,-0.24576518480386583,-2.0971832627495752,-2.1370454186638819,-1.8430841321190818,-1.1801981085976585,-1.9414627904137596,-1.8734398240288719,-0.61538109724130474,-1.3837494010170921,-2.0628683919152246,-1.2380369061669334,-0.04046544973459093,-2.2872708195885645,-1.9020243043145164,-2.3881311768731104,-0.55646727029886089,-2.29292706195917,-0.61775795166101299,-1.9200106019219383,3.3954834585944189,-1.9662084931572898,-1.9525401944359764,-0.7145071381768211,-0.39546743576135485,-1.191149269982241,-1.8639381283959373,-1.5883779877861961,-2.0808737630089746,-2.0323360318383203,-0.31565431301202623,-2.1747932786187159,-1.7282541150292381,-1.0145118588646873,-1.2757071608742698,3.0760864859381689,-1.9826200360497459,-2.2039041871270166,-1.9775553101738914,0.39048799331579359,3.4803926592627539,-0.93725935165490948,-2.2304728383263575,-0.9748978966912254,-0.12677953188028185,-1.2205983752449974,-1.5190250033577903,-1.6133187169274315,-1.6711378449639305,-1.9866021031579002,3.3351301794806494,-2.2626276368340479,-1.174794232293032,-0.67436913196649395,-2.0363965386589991,-2.3249888772210108,-1.0659122819146141,-1.3062185401162132,-1.5945712680062278,-0.27938840334024279,-1.7441013211449607,-2.164802586480044,-1.8035307282647117,-1.8367646092614158,-2.3312256688317285,-0.99145928566064678,-1.666209256096743,-2.2612905854424463,-1.8348224515160545,-0.4968474263390526,-2.07944730465021,-1.1020439023217186,-2.2726106995781885,-2.1356568688591944,-1.7008445615014061,-2.0458758229454981,-2.2152846211632715,-1.4801934117516502,-0.10410792176332323,-2.2278192395409571,-0.13142303173150865,-1.6909764165123924,-1.2234360331734642,-0.77642956916894756,-1.5766607875069603,-0.59248397295083843,-1.8778262490471824,-1.7005379552086815,-0.69823590461816631,-1.9868114346703514,-0.68850151245202862,-2.0254648083886133,-2.194324767037295,-2.0157058591088282,-1.6327367181023582,-2.2361541146477686,-1.6785416955193504,-2.1124124879082666,-2.3127229565819727,-2.2501683587273584,-1.3766488188942894,-2.0111916417321192,-2.1199062222680078,-2.290758168145083,-2.096262490197085,-0.27862081472482531,-1.4190649146279319,-2.3407025689324366,-1.8264146203240379,-1.9832051152428611,-1.8238900059899315,-0.027806436463259143,-0.41647366230096666,-1.6951468342980369,-1.6321361417016014,-2.0279355401238428,3.457516396597959,-1.4419619197091087,-1.5193666571816429,0.36929347710032018,-1.1791127080162986,-2.1008479947289453,-2.2355978841027246,-1.8953039998253807,-0.94540134613122784,-0.45946708862390367,-2.2672367448052393,-1.0933958644112571,-1.4476848000725731,0.26201189513597639,-1.4810302609642967,-0.99898735229577862,-1.5146830434044822,-0.72990480606164776,-0.27807972375955431,-1.5701052302559837,-2.0571282262047754,-2.0708632821282373,-2.1535916680535303,-1.8206553811272606,-2.0084650868615137,-1.80182484333124,-1.2646129483422264,-1.4033933037957176,-0.47724065725412218,-2.0032043809136377,-2.0061273926934229,0.086906844929792004,-1.5733874196251854,-1.7488398904046043,-2.2866111153801905,-2.2330105656823145,-2.0383117551049219,-2.1218195313652979,-1.4674115533074363,-2.2123680466851221,-1.3827655667504295,-2.3801901692589746,-2.2359147423943506,-1.4216475838860496,3.2512380724707617,-1.9708857888421043],\"text\":[\"Cell:GCTCTGTAGCGTGAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCGTGGACACGAAGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GAACATCAGCAATATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCACACGTCACACGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGACAGATCAGCATGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTGGGTGTCTAGAGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTTGGCTCAGCCACCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTACGTACATCGATGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACATCAGTCCTTGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCGGTCGTCGAATCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTAGTGACATTGAGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGGAGGTTGGACCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTGTAATCATTATCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGATCACAACCGCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTAGTCAGTCCGACGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGAATGTCGACCAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCACAAGCACCGAAAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCGGGACGTCATCGGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGCCAGAGGAACTGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATTATCCAGACCCACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTGAAACTCGATAGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCCTCCTAGACCCACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AAGACCTAGTAGGCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACACCTGTCGCTTTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCTTAGTCGCAGGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATGCCTAGTGGTAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AAACGGGGTGAAATCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTTACTCAATACGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGGTTAAGTCTAGCCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGTTGGTGTCGCATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTGCTCGTCCTAGCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCTCATAAGCAGATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCAGCCCAAGTCATC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTTACTGTTTGGGCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AACTTTCCACAGTCGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATGCCTTCGCACTCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCAGCCGTCGCATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATGCGATGTTACTGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCTGGTTCCCAGGTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TATTACCGTTGAGTTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCTCTGACATCGGTTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGGGAGTAGGGTATCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGAGCTTTCTTGAGGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGAGCATGTTAAAGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCGCAGTCTCTTATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AACACGTTCGGAATCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTGATGGTCGACTGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTGCTGTGTTGTGGCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACCACTTCAGCTTAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCGGGTTCCAGGGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGGGATGTCGCATGGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCATGCGCAAATTGCC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTAGTTCCATGAGCGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCTTGATCAACACGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGCAGCAGAGGTACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCCAAACATGACATC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGAGCGACACAACTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCCTCTAAGTCCGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GACAGAGCAGTCAGAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AATCGGTGTCACACGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCCGATTCAGAGACG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGTCTTTTCGTACGGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCCCAGAGGATTCGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCAATTCATCTCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACCAGTAGTCATGCCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AACACGTGTGACTCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGACCTAGCTGCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AATCGGTCAAACAACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGGAGCTGTACATCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CATGGCGAGAGTCTGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTACACCCAGGGCATA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGGGAGTGTGTAAGTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATCTAGCATCACCCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTGCGACAATCGGTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCTTAGTCGGCGCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TAAACCGAGGATGGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTTAAGCTCCGCATAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTCAGGCAATCTGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGGACGCGTATTCGTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGTAGTCAGCGTTCCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGAGCCCACCTTGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATGCTACAAGCGCTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTTAGATCAGTCAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAACCTCAGCGTGAAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCGTGTCACCAGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCGGTCAGGTCGGAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TAAGCGTCAATGCCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACAGCCGCATCGTCGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AAGGCAGCAGTACACT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACATTTGTATAGTAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCTCTAAGTGGCAAAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTTCTGTCACAATGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGCCGAGTAGCCTAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TACGGATTCCAAGTAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCTACACCATTATCTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTGAAACTCTGTTTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCATGTCTCCGCATAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCAGCCGTCGAACAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGGCACTCAATGAAAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AACACGTGTCGGCTCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GACACGCAGTATGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGGGTCCATGATCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATCAGTTCCCGGATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTCTCAAAGTACGCGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGAGGTCTGTTGAG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTAACTCCACGAGAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AATCGGTCATATGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCATACCAATGCCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTACTTTCATGGTCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAGCAAAGCGATGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TATCAGGCACCAGTTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCTACCCATAAGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGGTCATTCTGCGTAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGTCCCACACGGTAGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATCAGTAGGTTCCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATGTGTGTCAAAGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTAAGACTCACTCCTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CACACCTCATTGTGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TTAGGCAGTGTGAATA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTGCAGCATTCTCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CCATGTCGTTTGCATG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGGTCCGAGTTACCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGCTATCCAGGCAGTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGTTGGTTCACATAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATGCTAAGCGATAGC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATTATCCCAACTGCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AAATGCCCACCAACCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCTAATTCAGCGACC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTTAGGACATCTATGG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATCTACTGTGAACCTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGCTAAGTACCGAGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GAATGAAAGAATGTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCGGTCGTACCGAGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCCGATGTCAAACTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AAGACCTAGGTGTGGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCAGGTACACGGCCAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACTGATGCATCAGTAC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGTTCTGAGAGCAATT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCTCTAATCAAAGACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACACCCTGTCAGATAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TACACGAGTGCAACTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTGCGAAGTATTGGA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGACGTTTCGAGCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGGCCGTCACGACGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGAGGAGTGGAGAA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGGAGAGAATGTGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGCGACCATATGGTC
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TAGTTGGAGTCAAGCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGTGGGATCAACTCTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGACTTCGTTGATTCG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GATCAGTGTAACGACG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CAGCTAAAGCGCTTAT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGCCAGTCCGCTGTT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TGCGGGTAGACGCACA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATGAGGGGTTCTGGTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CGACCTTAGCTGCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GTAACGTGTGCCTGCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCTCTGTAGCTGAACG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTGCTGTGTTATCACG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ACGATGTTCTGCTGCT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCGCAACCAACACCTA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AGCGTATCATCTCCCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:AATCGGTTCCAAACTG
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:TCTCATAGTTACCAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GGCAATTTCCGAATGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:CTCGAAAGTAAAGTCA
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:ATAACGCAGCGTGAGT
group.by:Ngn3 high EP
color:Ngn3 high EP\",\"Cell:GCACATACATTACGAC
group.by:Ngn3 high EP
color:Ngn3 high EP\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":\"rgba(178,223,138,1)\",\"size\":1.5,\"line\":{\"color\":\"rgba(178,223,138,1)\"}},\"showlegend\":true,\"visible\":true,\"name\":\"Ngn3 high EP\",\"textfont\":{\"color\":\"rgba(178,223,138,1)\"},\"error_y\":{\"color\":\"rgba(178,223,138,1)\"},\"error_x\":{\"color\":\"rgba(178,223,138,1)\"},\"line\":{\"color\":\"rgba(178,223,138,1)\"},\"frame\":null},{\"x\":[3.4359456366263332,4.2351423567496242,3.9708577460013332,3.6219369238577785,4.3770376509390774,4.0545412367545071,3.847624904509634,3.9018045729361477,4.1920338934622707,3.6923328703604641,4.3668023413382473,3.7928448981009426,4.0713917082510891,4.8751646345816555,4.1085463827811184,4.2631312674246731,4.57820618807897,3.4961906737051907,2.6465786761008205,4.0995417898856106,3.8413716620169582,2.2736622160635891,3.70802796542272,3.6548677748404446,3.8021856611929836,3.2827888792715969,4.3123055762015285,3.8091121977530422,3.6057592695914211,4.1241923636160793,2.8195403879843655,3.9710031813345852,4.3865267103873196,3.3374468153677883,3.2570606535635891,2.435252553816885,4.7850753134451809,2.9682651823721828,4.8723198240958157,2.3492690390311184,4.6895667380057278,4.2933746641837063,2.7530199354849758,3.6474958723746242,4.5781961744986477,4.4323755568228664,4.5063401526175442,3.5970946615897121,2.1566151446066799,3.7745324438773098,3.1083837813101711,3.4612490004263821,4.1436320608817043,4.5250836676321926,4.2586289709769192,3.5297552412711086,3.5055633848868313,3.8859354323111477,4.1719976729117336,4.5524135893546047,4.4845186537466946,4.2014442747794094,4.2126609152518215,4.3654242819510403,3.8542548483572903,3.9814606970511379,3.5537105864249172,3.8697253531180325,3.1247845953665676,4.3466187781058254,4.229857570525259,3.4561802214346828,4.840610629912466,4.2293235129080715,3.6268993681631985,3.7046052283011379,4.7917453116141262,3.8458415335379543,4.1579734152518215,4.6595903700552883,4.0381800001822414,4.6404048269949856,3.2200423544608059,4.5811253851614895,4.7884126967154446,4.401481277342886,4.4116336172781887,4.755299693938345,3.0617722338400783,3.975620395537466,4.3192216223441067,3.5511461561881008,4.6648203200064602,4.2700878447256985,2.4781998461447658,3.3287721937857571,4.0853062933646145,4.2413960760794582,3.7916637724600735,3.8577367132864895,3.9003025358878078,3.5305005377493801,3.975402004119009,3.9099475210867825,4.2384554213248196,3.2572733229361477,4.3663502997122707,3.1994730299673977,3.6767584150992336,4.8140150374136867,3.7020202940665188,3.9530860251151028,2.9427110022269192,4.6808501547537746,4.4028011625967922,4.4463373488150539,3.7730208700858059,4.4432860678397121,3.9047581022940578,4.7213956183157864,3.4439202612601223,4.6877924269400539,3.5073601072989407,3.8831917113028469,4.4032703703604641,3.6822696989737453,4.0674892729483547,4.1557580298148098,3.1759957140646877,4.5106087988577785,1.4348169630728662,4.1812874144278469,4.4462629622183742,3.1076239412985744,4.2609082525931301,3.3300324743948879,4.3253170317374172,3.4876762694083157,3.2579966849051418,2.067372447844595,4.6016327208243313,4.5009285277090969,3.7997213667593899,3.4761420553885403,3.1113175219260158,3.7827926939688625,3.7698017424307766,3.6942468947134914,4.6226311987601223,4.2988306349478664],\"y\":[4.5609880963917817,0.50371637741290032,2.8119253198262304,4.1861511746998872,0.84017362991534172,0.15182634988985955,2.8192738572712988,0.27459999719820916,0.21939983764849602,4.0774675885792817,1.6697985211964697,-0.10385725101269783,-0.1988587697390467,0.34204461971484124,2.5575565377827734,2.1375414411183447,0.85956921974383294,1.8917509595509618,3.767842916643247,2.1979185620900243,3.1931356469746679,4.6984931508656587,3.5393640081044286,1.3428472558613866,2.1670099774952978,4.2852317372914399,-0.45325485070981086,3.6995402852650732,3.7294951955433935,2.7750836888905615,3.9751702825184911,0.4742647687550634,0.72149756351672112,3.9998981038685888,3.9596087018605322,5.7198440114613618,-0.28739908536709846,3.2717842141743749,0.3640733043309301,4.7507134954091157,0.73337867656908928,2.081605819856748,3.7827760259266943,3.7065235654469579,1.4162239114399999,1.5153717080708593,1.6229487935658544,0.36135938564501702,5.0215751210805024,-1.1420734246615321,4.5590206662770356,3.5825807134266943,0.62264111438952385,1.2441510240193456,0.86365702549181878,3.1487597505208105,4.585175184404477,2.0458225289937109,1.9949585477467626,0.010975567495450367,-0.56223127445019783,0.02344634929858147,2.5385943929310888,1.6987279931660741,-1.3026901801470667,-1.002995671832934,0.19480547109805046,-1.5247779806498438,3.8057982007618993,1.8951307813283056,0.38730898300372063,3.9369875470753759,-0.15717074474133552,2.8287989179249853,0.73227992454729973,2.5828756372090429,0.50336995521746575,2.3629836122151464,2.4005526582356542,0.51691594520770012,-1.3538924773577601,0.19344046512804924,4.1527763883229341,-0.056277902925387036,-0.1896642764452845,1.5446392575856298,0.22592374483309685,-0.27326551278866829,4.9236470739003266,2.61355319420062,0.14958980480395256,0.086386946832761158,1.0987122336979955,0.34952881733141838,4.2672535459157075,4.3861509839650239,2.8075331727620214,0.50713565746508538,-0.50202726026810707,0.29471722046099602,3.2478906194325536,4.2867161313649262,3.5210286656972021,3.3192664662953466,0.70587757030688225,4.7605287114735688,1.2189218083973974,4.0836221257802094,3.0255440751668066,-0.095709474885836254,3.6926156560536474,3.3101173917409032,3.8065759221669286,0.62841287056170403,-1.8541104515437037,0.92590418258868157,3.815107492601499,1.2596484700795263,-0.8146330138090998,0.60548105636797844,4.515163091814145,-0.10162368615902961,2.0904172937031835,0.72523787418566643,2.2370673696156591,1.2412191907521337,2.9129666368123144,1.7064711133595556,4.272367624437436,0.87080135742388665,5.7142797986622895,-0.68009287318028511,1.5287803689595312,4.1398221532460298,2.3950490037556738,4.3881346265431489,2.1587850133534521,-0.22585761746205391,0.31341960827074944,4.9637571851368989,1.6926080266591161,0.85934927860461174,3.7592670003529638,2.2952796498890966,4.1018168012257661,3.4780861417409032,3.6925312558766454,2.8941611329670995,0.78922310272417961,1.0312146226521581],\"z\":[0.304718563512899,0.64212461765203632,0.90162458475027241,0.53898705001268543,0.8171541338721291,0.90080531890783466,1.0056945925513283,1.1263341551581398,0.76457359846029438,0.59330972488317646,1.3236580735007302,2.070060694769956,0.54968904908094562,0.87805118616018452,1.1078978424826638,0.92488339002523579,0.91635533626470722,1.2781826501647011,0.46906028892192991,1.1687112694540993,0.89649810846243061,-0.089318996115587634,0.84418412502203144,1.4481854086676613,1.1002716666022316,0.51729873772058643,0.053315753296948987,0.78582485969457783,0.86647834833059467,1.0202697759428994,0.47894205357227476,1.5054069405356423,0.95347877796087421,0.71669798548612751,0.71361448820028461,-0.63729122821893536,1.0498764162817971,0.74070682580862202,1.1636628156462685,-0.078878974362276477,1.0581040626326577,1.1477326398650185,0.5173266773978249,0.72845580633077778,1.2826760655203835,1.2038882618704811,0.72548347170744099,1.6928121691504494,-0.30780450050439684,3.625844443396665,0.34684939514193686,0.84438320453558124,1.1257096772948281,1.1052656417647377,0.83087646420393146,0.9538275843420998,0.22020485456380995,1.2149381881514565,1.1280154829779641,0.9043699746886269,0.50072960014734424,0.80211066658888019,0.96546807344350971,1.1345819478789345,3.6591691618720068,2.6538922434607519,1.6922328120032326,0.32712042163405569,0.71589305456075825,1.0160376673499123,0.78435095603857197,0.6890948658743874,1.016341054991819,0.98261817748937763,1.5969053154746071,1.0060130005637185,0.99577304180059589,1.1097865944663063,1.0542903190413491,0.91778298671636738,0.69169294293317951,1.1021707301894204,0.62042188103590168,0.86326968129072346,0.70897960122022785,1.1404010897437111,0.70430269296560444,0.65383696015272297,0.038324529484845715,0.96169736440572895,0.58710421080980457,1.4361596947470681,1.1207342391768471,1.2783063894072548,0.19234318490419539,0.43814096058998259,1.0183514600554482,1.0044521933356301,2.3196100836554541,1.3633727675238625,0.85273441131506122,0.4339464550772682,0.61381466145906605,0.8688000386515633,1.4263145571509377,0.17524067516718062,0.9498038535872475,0.57061597164068378,0.98652752693090595,1.0880603438178078,0.72456821258459247,0.84601234848890461,0.62639995868597187,0.99976345355901874,1.2835021858969704,1.2228841429511086,0.67918309028539814,0.7745423858920113,2.6287481432715429,1.1270150786200539,0.32470682095084341,1.3079818731108681,1.2134255414763466,1.2605692392149941,1.1325286274710671,1.4199568873206154,0.94733711536321796,1.0536057596961037,0.47824824060592802,0.88447066600713886,-1.0324172133645042,-0.1337219232758507,1.0194046741286293,0.55220734532270588,0.92000427301321186,0.43237840588483961,0.99586179311666645,1.4584244137564675,1.845051730231382,-0.29265860263910143,1.1292436962882058,0.88943287189397968,0.69116958434972919,1.1443618779936806,0.56344146485719837,0.7448875253954903,0.73239692504797138,0.9550708180228249,1.0160740857878701,1.0070734267989174],\"text\":[\"Cell:AGTGTCATCGCCGTGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCGTGGGTCCCTTGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGAGTGTCTTCTCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TACAGTGTCCCTAACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCTCTCAGCGTGAGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGAGCACTCTAACTCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCGTAGATCTTTACGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCGTATTCTGCTGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGACAAGTCATAACCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GACTACAAGCGTGTCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTATTCTTCACTTACT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAACGGGTCCGCGCAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCCTAGAGAGTGACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACGTTGTCAGTTAGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATTATCGTCATATCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCGCAACAGTGTACCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTTACTGGTTCGTTGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTAGTCAGTACTCAAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGAGAGGTACCGTTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATTATCTCTGAAAGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTACATTCACCGTTGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCATTTGCATTGGCGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGTAACGTCTGATCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATTTCTGAGAAGATTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCTAATTCACCATAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGCTTCACAGATCGGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGTGTCTCATACTCTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATATGGAGGCCCGTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCTAGCTCAGGTGCCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTGAAACTCAAACCAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTTCTCGGTTTGTGTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACTCTTCACTCGACG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGTCCCACGTAAGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGTCACTCAGTATAAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGCTCGAGTCGCTTCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAAGAAACACTAGTAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGTGAGGTCTGTTGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCCAAATGTAAACACA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGTAGCGAGACTGTAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTAACTGGTCACTGGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCTACGCACTAAGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTCGGAGGTGAAGGCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAAGTTGTCTAACTGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTGTAGGTCCAAATGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCTCAGTAGCGTAATA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGTGAAGAGCAGGTCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATGTGTGAGTTTGCGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCCCTAGTATCGCAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGGGCTAGACTTGAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCGTACTGTCAGAAGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATCGATAGAAAGTGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCCATACTCGTGGACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGTGGTAAGAGGTTAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACTGGTGTCGAGTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGCTTGTCACTTCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATCATCTTCAGTCCCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGTGTCACACCAGGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTAATGGCATGGTTGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACACGTGTCGACTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTGAAGTTCTGCGGCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGATCGGAGCTGCAAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTGTAGGGTTACGGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAGCCGCGTTATCCGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AAGTCTGGTCTCCATC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACTCTTAGCTAACAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACACGTAGTAATCCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GAGCAGAAGCCAGTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTGTGCTCAGCTCCGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTCTTCGAGCGTGAGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAACCAAAGCGTTCCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATCAGAAGTGGTAAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTATGCTTCCAGTATG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCGTGGAGGTTCCTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGATTGCCACAAGCCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATCAGATCATCGCTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCTTTCTTCTTCGAGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTGGAACGTCCGTTAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTGCAGCTCGTTTATC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGATTGAAGTTAGCGG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGGTTAGCAGTCGTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGGTTGCTCCCAGGTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTCTCAATCACTCCTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGTCTTTGTCTAAACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCGCGAGTCGACGGAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGCTGGTCGCCGTGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTGTTAGAGTTTCCTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTTCTCTAGTACTTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGTTGGGGTTTAAGCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATGCGATAGAAACGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGACGGCGTCAGGACA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ATCTGCCGTCATATGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGATCTGCACCAGGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATCGTACAGGCGATA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGTCTACTCAGTCCCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGCAGCGTCAACTGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATGCTATCCCTCTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTAACTCCACGCCAGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTAGGCAGTTAAGAAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTACTTTAGATATGCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTGGGTCGTAGGAGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GAACGGAAGACGCTTT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GATCGTAAGTAGGTGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCATGTATCACGATGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGCGTTTGTATTACCG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGCTCAGGTGTTAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TTCGAAGTCAACGCTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGGACGCAGATTACCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGGACGCTCTTGTTTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCCAAAAGCGCTTAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACAGCCGAGAGAACAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGACGTCGTCAGAAGC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGGACGTAGACAGACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGAGTGGCACCTCGGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACCCACTTCTGAGGGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGATGTTCGCAGGCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGACAACTCGCACTCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTGCTTAGATCTGCT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGGACTGTCGGACAAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TATGCCCAGAACAATC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AACCATGGTTGAACTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGCATAGTAATAGCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCACCTAGATAGTCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAGCTGGGTCTAACGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTCGTAAAGGTGATTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CTGGTCTTCGTTACAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CAACCTCGTCTAAACC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCCTCTAGTGACTACT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGGGTCAGATGGCGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGCGTGTTCGTGGGAA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GCTCTGTAGCCACCTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CGTGAGCTCACAGGCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGCTCTCAGACATAAC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CATGACAGTCATGCAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCAGATGCACTCGACG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGAGCCGTCTCTGAGA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TACTTACGTGTGGCTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GTGCGGTCAAAGCAAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TAGAGCTAGTGCCATT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGCAGCCATTCTCAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACTGATGTCTAGAGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGGGAGTAGCTAGCCC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:CCACTACAGAGCTGGT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGTGTTTAGCAGGCTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACAGCTATCGAGCCCA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TCGCGTTTCTCTGCTG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGACAAGTCCGCGGTA
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:TGCCCTAAGTCCGGTC
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:GGGAATGAGGAGCGAG
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:ACGAGCCAGTTCGCAT
group.by:Pre-endocrine
color:Pre-endocrine\",\"Cell:AGTGGGACAGTATCTG
group.by:Pre-endocrine
color:Pre-endocrine\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":\"rgba(51,160,44,1)\",\"size\":1.5,\"line\":{\"color\":\"rgba(51,160,44,1)\"}},\"showlegend\":true,\"visible\":true,\"name\":\"Pre-endocrine\",\"textfont\":{\"color\":\"rgba(51,160,44,1)\"},\"error_y\":{\"color\":\"rgba(51,160,44,1)\"},\"error_x\":{\"color\":\"rgba(51,160,44,1)\"},\"line\":{\"color\":\"rgba(51,160,44,1)\"},\"frame\":null},{\"x\":[3.7621866530142727,2.4181076353751125,3.398643142577261,3.8295599287711086,2.0342673128806057,2.4987086123190823,2.9429088896475735,3.2023011511527004,2.6003462141714992,2.5475879973135891,3.3667727774344387,4.0187827414236965,2.1945270365439358,3.8722015684805813,2.2298027342520657,3.2212067908011379,3.3210197752676907,4.114228851195425,3.3578559225760403,2.2872663801871242,3.8686019247733059,3.7571336096487942,3.8851114577017727,2.3921674555502834,3.4526020353995266,3.217281944151968,3.3088890379630032,3.3083731001578274,3.2845560377798977,3.9772955244742336,3.296350604888052,3.0680788820944729,3.2716742819510403,2.4087811773978176,3.1360293692313137,3.5372740095816555,2.3448590105734768,3.1923199957571926,3.8279835051260891,2.2619544333182278,3.278535491820425,3.7191401785574856,2.9881712263785305,2.7096418207846584,3.9326931303702297,3.9642750090323391,3.6278320616446438,3.2712379759512844,2.9602612322531643,2.2454253500662746,2.3493365114890041,2.5634144610129299,4.1718541449271145,2.6442028349600735,3.6401864355765285,3.8260375326834621,3.2268775767050686,2.7996984785757961,3.729941970702261,4.0360781019888821,3.8146392172537746,2.9567765063010158,3.6438437765799465,3.4250918692313137,3.875729209776968,3.7280699080191555,3.2782713240347805,3.7497507399283352,3.5195432966910305,3.5934301680289211,2.7622026270590725,3.8044158285818996,3.3259717291556301,3.2842856711111965,3.8533784216605129,4.1074754065237942,3.8849631613455715,2.6016289061270657,3.0065325564108791,2.8601588076315823,2.3237930601798,4.1839581793509426,3.864562160369009,3.0862537687979641,3.3152538603506985,3.0060921972952785,2.4848958319388332,3.3920031851492825,3.1617196863852444,3.5681854551993313,3.6677147215567532,4.1724149054251614,3.472437030669302,2.6585174864493313,3.3906790083609524,3.9301687544547024,2.5719155138693752,3.4785252875052395,3.0144556826315823,2.3118149107657375,3.1880821055136623,2.8559435671530666,2.4791776007376614,2.2596844500266018,3.568332797881216,2.4490696257315578,2.8570469683371487,3.0393348997794094,3.2402073210440578,3.6316906279288235,3.3765975302420559,3.1702209776602688,3.2740551298819485,3.8447271650992336,3.6187459295950832,2.32739413439855,3.7456418341360989,3.3688551253043117,3.51955140292272,3.7243415182791653,2.3243960207663479,2.9078658884726467,2.0899595087729397,2.9057635134421291,3.7435547178946438,3.6384803122244778,3.0052238768301907,3.4275070494376125,3.9032551115714016,3.4018317526541653,3.8511496847830715,4.7364717787466946,2.2328699892722073,2.710779315825552,3.4951072996817532,3.1732744044028225,3.1907359427176418,3.2129169768057766,3.3282324141226711,3.5844150847159328,3.6263157194815578,3.7311569517813625,3.9812675780020657,2.9845653837881985,3.4935313528738918,3.7417784994803371,2.7569011515341701,4.1806789702139797,2.5360230272971096,3.3869148558340969,3.3270999258719387,3.0483075445853176,2.6535900896750393,3.3949061697684231,3.2922116583548489,2.3679226702414455,3.466514236327261,3.7150350874625149,2.9753459757529201,3.6715747183524075,2.7764593428336086,4.1185156172476711,2.7369030779562893,3.1518148249350491,3.1259836024008694,3.1491898363791408,3.4683419531546535,3.6988960570059719,4.2128936117850246,4.2010084456168117,3.3830891913138332,3.9067779844962063,2.5168422526083889,3.9831935232840481,3.8944641417227688,2.5652514761649075,3.6086574858389797],\"y\":[-1.4919820149783045,-1.9571644981745631,-2.0396699627283961,-3.4751935919169337,-2.1729515512827784,-2.3668752630595118,-2.4883317669276148,-1.8098151405695826,-1.9278317411784083,-2.0975117405299097,-1.8467319925669581,-1.251596780622378,-2.157822104299441,-1.0692414363268763,-1.9240455349329859,-1.6339909156206995,-1.7581078728083521,-1.8575770576838404,-1.7020700295809656,-2.229204030836001,-3.5964950044993311,-2.7376447637919337,-1.4376525600794703,-2.0364881475809962,-1.3709589560870081,-1.8686189373377711,-2.2824387272242457,-2.5310460050944239,-2.1088388880137354,-0.79763170530833305,-1.4897038062456995,-2.0615666826609522,-1.839825483167544,-2.2612950523737818,-2.2965886314753443,-1.8899432142619044,-1.9679584225062281,-2.1638055761698634,-1.2093105038050562,-2.2468459328059107,-1.5329989512804896,-1.9681979139689356,-2.3324273546580225,-2.1642199476603419,-2.4249170740488917,-1.7407974918726832,-2.2259094437006861,-1.7920636852625758,-1.9738279302958399,-1.9679617603663355,-2.1719521005991846,-2.0415210445765406,-0.38922444185055793,-2.287687393033877,-1.1840383132342249,-1.5632042010668665,-2.4469978531245142,-2.1936223228815943,-1.0237523933295161,-1.9902027567271143,-1.7697127779368311,-1.8375985344294459,-1.5935382564906031,-1.7216208895090968,-2.1834809502009302,-3.3768814524058253,-2.4847284277323634,-1.6008018573168665,-3.0228110273722559,-0.93845525583066047,-2.2699178179148585,-0.8309136574510485,-1.6082303841952235,-2.2054419239405543,-1.7407530268076807,-0.99471473892964424,-2.0636211355570704,-2.367948623502627,-1.582632096612826,-2.3592964132670313,-2.2031477411631495,-0.67533974921144546,-1.1334699412230402,-1.9919628818873316,-1.6391935070399195,-1.9409398754481226,-2.4444392641428858,-1.4317240436915308,-1.9907366951350123,-3.2294615229014307,-3.53181395133771,-1.6996605714205653,-3.1247032602671534,-2.085426183545962,-1.5759708603266627,-1.6945940574053675,-2.3305705507639796,-1.2722177823428065,-2.1448111256007105,-2.1053601225260645,-2.5852859934214503,-2.1020459850672633,-2.2779335697535426,-2.2577160318735987,-3.34799465736188,-2.1494937857035548,-2.0817610939387232,-1.8661416490916163,-1.8260016163233668,-2.8897417505625635,-1.8608510216120631,-1.7897350510004908,-2.0897912701014429,-2.7128883322123438,-3.5607670267466456,-2.3022573908213526,-1.7962529381159693,-2.1413491686228663,-0.82106331934966148,-1.225744934881106,-2.0825966318491846,-2.0013136585596949,-2.2594849785212427,-2.4243255575541407,-1.9548871239069849,-2.8337613066080958,-1.8718189915064722,-3.0737915953043848,-1.5176588614825159,-2.2236046512965113,-1.3247968276385218,-0.46185544332303108,-2.3060733993891627,-2.1491220911387354,-1.5088147242907435,-2.2488428076151759,-1.7824537475947291,-2.2426744421366602,-1.4334760030154139,-3.3568438013438135,-2.4426278789881617,-1.2338218410853297,-1.6460498293284327,-1.8912765701655299,-3.2408536394480616,-1.6100855191592127,-2.2150703390482813,-2.3358186205271632,-2.3687793930415064,-2.3304073532465845,-1.5694117864016444,-1.7597033699396998,-2.0698828419093043,-1.584379287565127,-1.6249425133112818,-2.2207362373713404,-1.4646193703059107,-1.3077832778338343,-1.9619347771052271,-1.2854562123659998,-2.1670902689341456,-1.1525176187399775,-2.3812174518946558,-1.7061382254008204,-1.8804079016093165,-2.3546580990199,-1.5766496380213648,-3.1263745745066553,-2.0799854715708643,-0.87494377990998329,-2.0003306587580592,-1.4531759341601282,-2.2370871027354151,-1.8131473978403956,-1.845871420705691,-2.3646841963175684,-1.660240681970492],\"z\":[-0.11627197806444017,-4.4422009343346582,-1.8901479596337303,0.53710638935957111,-4.4041054600914942,-4.1149027699669825,-3.1062190884789453,-2.2322132939537989,-3.3646304959496485,-4.3691227788170801,-0.46031162683572618,0.32114868070278318,-4.064512526436709,-0.74776128475274883,-3.9802940243920313,-2.0720038766106592,-0.65203252975549542,2.8522421961585058,-1.0633577460488304,-3.7735307568749414,0.60138397868070759,-0.051875984116457385,-0.086225038214586658,-4.4389136189660059,0.021782869652844983,-2.4634974354943262,-1.6111193055352195,-1.2857990616997703,-1.8620951527794822,-0.32135615293588488,-1.5736995095452293,-3.5662513131340967,-1.3430507535180076,-4.1679814213952051,-2.0094900483330713,-0.47995248977746813,-4.5793383473595606,-2.3771019334038721,-0.026652877970598621,-4.1024010533532129,-1.7098124379357322,-0.7162318581780418,-3.2276380414208399,-4.0884254330834375,0.3903947194973007,0.47066290880832823,-0.23120782320108263,-1.7653222436150535,-3.3801544064721094,-4.5782168263634668,-4.1809685582360254,-4.282156741066836,0.66199704463873066,-3.7606008404931055,-1.0677769536217674,-0.76174894516076885,-2.7273321503838526,-3.567005431099795,-0.79229167644586407,0.58494160528574146,0.15209474618826063,-3.9850170964440332,-0.17860732023324816,-0.40273997728433458,0.15176876838598402,0.055805141285993176,-1.7222819680413231,-0.60229984466638409,-0.59038505498971783,0.43357135187182577,-3.7645094746788965,-0.038051163597963733,-2.0130548829277979,-1.5762316340645774,0.37313892850000413,-0.19997534696664659,0.25911098177824171,-3.8196928853234278,-2.5635261887749659,-3.8914845341881739,-3.7873032445153223,-0.26055273954477159,-0.54610196296777569,-3.0372295731743799,-1.5385767573555931,-2.8063612336358057,-3.5016446465691553,-1.2706771249016746,-2.2016206139763819,-0.47989234869088976,0.068220908001996594,0.83226543124113239,-0.759559070511721,-3.9743526334008203,-0.90193072502221905,-0.17401996795739977,-4.1374972218712793,-0.55257776920404278,-3.3035679215630518,-4.1635878438195215,-2.2192685956200586,-3.7493899220665918,-3.3233628625115381,-4.3238962048729883,-0.34779039566125719,-4.0978777760704981,-4.0356600636681543,-2.7837984914025293,-2.0716970318993555,-0.1683719510277733,-1.7157409543236717,-2.3975520486077295,-2.1207371110161768,0.2165401970902458,-0.029214953823946399,-4.0652792805870996,-0.19649956171121447,-0.70852748100366436,0.39061276912037285,-0.55698255245294415,-4.1977947110375391,-3.9814703816613184,-4.2355239743432032,-3.340039288445376,-0.14701214973535387,-0.26648065988626329,-2.7126224393090235,-0.97862473671045147,-0.32925484125223009,-1.2759771699151023,-0.021791195317171497,1.2915099507132546,-4.3823464268883692,-3.7586329335412012,-1.5040309781273826,-2.5591385716637598,-2.0850282067498194,-2.057024037285708,-1.065495407029055,0.13675721939001234,-0.37930515949334948,-0.45669290964212267,0.40754000674281271,-3.0717862004479395,-0.66270211879815899,0.1166816001692787,-3.6352956647118555,0.94751032646093525,-3.5108058804711328,-1.6976774090966209,-1.3610468262871727,-2.3510797375878321,-3.4881890172204004,-0.610877429886721,-1.5956042165001854,-3.7950709218224512,-0.4825310463150963,-1.1418389434060081,-3.9941161030968653,-0.82482949440088116,-3.5396340245446192,0.044734383181668835,-3.2960760945519434,-1.9356620663842186,-2.3733580464562403,-2.5346234196862207,-1.3125818127831443,-0.012733524485491199,0.95320072229299702,0.21816810424719008,-0.63467577640619122,-0.38111028616037218,-4.1484949940880762,0.51448547299299396,0.3882182344729081,-3.5063732022484766,0.11523925717268141],\"text\":[\"Cell:CACAGTACATCCGTGG
group.by:Beta
color:Beta\",\"Cell:ACCGTAACAAGGTTCT
group.by:Beta
color:Beta\",\"Cell:CCACTACAGGTGGGTT
group.by:Beta
color:Beta\",\"Cell:CGTCTACAGATGCGAC
group.by:Beta
color:Beta\",\"Cell:CAAGGCCCAAGAAAGG
group.by:Beta
color:Beta\",\"Cell:CTCTGGTCAAGACACG
group.by:Beta
color:Beta\",\"Cell:TAAGTGCCAATAGCAA
group.by:Beta
color:Beta\",\"Cell:TGTCCCAGTCTCGTTC
group.by:Beta
color:Beta\",\"Cell:CGGACTGTCTTGAGAC
group.by:Beta
color:Beta\",\"Cell:GGTGCGTTCTGGTATG
group.by:Beta
color:Beta\",\"Cell:TACCTTATCCGATATG
group.by:Beta
color:Beta\",\"Cell:CCAGCGACAGGCTGAA
group.by:Beta
color:Beta\",\"Cell:GGCAATTGTAGAGCTG
group.by:Beta
color:Beta\",\"Cell:CGAATGTTCTTCATGT
group.by:Beta
color:Beta\",\"Cell:CCGTGGACATTCCTGC
group.by:Beta
color:Beta\",\"Cell:CGACTTCCACAACGTT
group.by:Beta
color:Beta\",\"Cell:GGGAGATAGCGAAGGG
group.by:Beta
color:Beta\",\"Cell:CGGACACTCTATCCTA
group.by:Beta
color:Beta\",\"Cell:CGGCTAGCATTCCTCG
group.by:Beta
color:Beta\",\"Cell:GTAGGCCGTTACCAGT
group.by:Beta
color:Beta\",\"Cell:TCTCATATCAGAGCTT
group.by:Beta
color:Beta\",\"Cell:GCTGGGTGTCATACTG
group.by:Beta
color:Beta\",\"Cell:TAAGTGCTCCAAATGC
group.by:Beta
color:Beta\",\"Cell:GCGCGATGTCCGAATT
group.by:Beta
color:Beta\",\"Cell:GGGATGAGTCTGCGGT
group.by:Beta
color:Beta\",\"Cell:GTCTCGTAGATCTGCT
group.by:Beta
color:Beta\",\"Cell:GTGCATATCAGAGACG
group.by:Beta
color:Beta\",\"Cell:CAGCGACAGATCACGG
group.by:Beta
color:Beta\",\"Cell:ACTATCTGTCAGGACA
group.by:Beta
color:Beta\",\"Cell:ATCCACCTCCTTTCTC
group.by:Beta
color:Beta\",\"Cell:GGACAGAAGGCCGAAT
group.by:Beta
color:Beta\",\"Cell:ACTATCTTCTGCTGTC
group.by:Beta
color:Beta\",\"Cell:CGTCCATGTCTAACGT
group.by:Beta
color:Beta\",\"Cell:CAGTAACCATACGCTA
group.by:Beta
color:Beta\",\"Cell:ATCACGATCAGGATCT
group.by:Beta
color:Beta\",\"Cell:TATTACCAGCTAGTCT
group.by:Beta
color:Beta\",\"Cell:GTGGGTCGTACTTCTT
group.by:Beta
color:Beta\",\"Cell:ACTTACTCACCGTTGG
group.by:Beta
color:Beta\",\"Cell:CGCCAAGTCTAAGCCA
group.by:Beta
color:Beta\",\"Cell:ACTATCTTCATGTAGC
group.by:Beta
color:Beta\",\"Cell:TATCTCACATTGTGCA
group.by:Beta
color:Beta\",\"Cell:ACGATGTGTCGCGGTT
group.by:Beta
color:Beta\",\"Cell:CAGAATCCACAAGCCC
group.by:Beta
color:Beta\",\"Cell:TTTCCTCAGTGTCCCG
group.by:Beta
color:Beta\",\"Cell:TAAGTGCTCGCCTGAG
group.by:Beta
color:Beta\",\"Cell:GGTGTTACATGTTGAC
group.by:Beta
color:Beta\",\"Cell:GGGAGATAGTGACATA
group.by:Beta
color:Beta\",\"Cell:TAAGAGACAGTAGAGC
group.by:Beta
color:Beta\",\"Cell:CACATTTTCGAGGTAG
group.by:Beta
color:Beta\",\"Cell:AGACGTTCAATGGTCT
group.by:Beta
color:Beta\",\"Cell:CAGTAACAGCCACCTG
group.by:Beta
color:Beta\",\"Cell:CATTCGCGTGCAGACA
group.by:Beta
color:Beta\",\"Cell:TCTATTGCAGTAAGCG
group.by:Beta
color:Beta\",\"Cell:GCATGTAAGAATCTCC
group.by:Beta
color:Beta\",\"Cell:GTTACAGTCTAGAGTC
group.by:Beta
color:Beta\",\"Cell:TTATGCTTCGTTTAGG
group.by:Beta
color:Beta\",\"Cell:CTCAGAATCTTGAGAC
group.by:Beta
color:Beta\",\"Cell:GCATGATCATGCATGT
group.by:Beta
color:Beta\",\"Cell:TACGGTATCCCATTTA
group.by:Beta
color:Beta\",\"Cell:CCTTCGAAGCTAGGCA
group.by:Beta
color:Beta\",\"Cell:CCCAGTTTCAGCACAT
group.by:Beta
color:Beta\",\"Cell:CTAAGACGTACTCTCC
group.by:Beta
color:Beta\",\"Cell:CTTTGCGGTCGAATCT
group.by:Beta
color:Beta\",\"Cell:TTTGGTTTCCTTTCGG
group.by:Beta
color:Beta\",\"Cell:GGGATGATCTGTCCGT
group.by:Beta
color:Beta\",\"Cell:GTGTGCGCAGCGATCC
group.by:Beta
color:Beta\",\"Cell:GGCTCGACAGCTATTG
group.by:Beta
color:Beta\",\"Cell:GACTGCGGTCGCCATG
group.by:Beta
color:Beta\",\"Cell:ACGAGGATCAATCTCT
group.by:Beta
color:Beta\",\"Cell:GTGCGGTAGTGAATTG
group.by:Beta
color:Beta\",\"Cell:TACTTGTAGACAAAGG
group.by:Beta
color:Beta\",\"Cell:GTCCTCACACCACGTG
group.by:Beta
color:Beta\",\"Cell:AGATTGCCATTCCTGC
group.by:Beta
color:Beta\",\"Cell:TACGGTATCTTTCCTC
group.by:Beta
color:Beta\",\"Cell:GTCACGGCATACTACG
group.by:Beta
color:Beta\",\"Cell:ATCACGAGTGCACCAC
group.by:Beta
color:Beta\",\"Cell:AGGGTGAAGGTGCAAC
group.by:Beta
color:Beta\",\"Cell:CGCTATCAGGTGATAT
group.by:Beta
color:Beta\",\"Cell:GTGTGCGGTAGTACCT
group.by:Beta
color:Beta\",\"Cell:GGCTCGACAGCTTCGG
group.by:Beta
color:Beta\",\"Cell:TGTGGTAGTTAGAACA
group.by:Beta
color:Beta\",\"Cell:GTACTCCGTAGCGATG
group.by:Beta
color:Beta\",\"Cell:TGGACGCAGCGTCTAT
group.by:Beta
color:Beta\",\"Cell:CTGAAGTTCTTTAGGG
group.by:Beta
color:Beta\",\"Cell:TGCGTGGTCTTTACGT
group.by:Beta
color:Beta\",\"Cell:CTTGGCTCATCCCACT
group.by:Beta
color:Beta\",\"Cell:GTTTCTATCAACGGCC
group.by:Beta
color:Beta\",\"Cell:GTTACAGTCTTGAGAC
group.by:Beta
color:Beta\",\"Cell:TGTGGTAAGTGGTCCC
group.by:Beta
color:Beta\",\"Cell:GATGAGGAGAAACCTA
group.by:Beta
color:Beta\",\"Cell:GAAATGATCTTCAACT
group.by:Beta
color:Beta\",\"Cell:CGACCTTCACACAGAG
group.by:Beta
color:Beta\",\"Cell:GCGCAGTGTACGCACC
group.by:Beta
color:Beta\",\"Cell:CACATAGTCATTGCGA
group.by:Beta
color:Beta\",\"Cell:CTGAAACGTAGCGCAA
group.by:Beta
color:Beta\",\"Cell:GAATGAATCATCGGAT
group.by:Beta
color:Beta\",\"Cell:AAATGCCAGACTAAGT
group.by:Beta
color:Beta\",\"Cell:AACTCTTCATTTGCCC
group.by:Beta
color:Beta\",\"Cell:GAATAAGCACGAAATA
group.by:Beta
color:Beta\",\"Cell:CGATGGCCAACTGGCC
group.by:Beta
color:Beta\",\"Cell:ACTGATGCACATGACT
group.by:Beta
color:Beta\",\"Cell:CATCCACGTTACGACT
group.by:Beta
color:Beta\",\"Cell:GTGCTTCTCACGACTA
group.by:Beta
color:Beta\",\"Cell:CTACACCCATCAGTCA
group.by:Beta
color:Beta\",\"Cell:TTATGCTCACTACAGT
group.by:Beta
color:Beta\",\"Cell:AAAGTAGGTCAGATAA
group.by:Beta
color:Beta\",\"Cell:CCCAGTTGTGCGCTTG
group.by:Beta
color:Beta\",\"Cell:ATTCTACGTTTAGGAA
group.by:Beta
color:Beta\",\"Cell:GTGCGGTTCTGATTCT
group.by:Beta
color:Beta\",\"Cell:TCTATTGGTCTAGCCG
group.by:Beta
color:Beta\",\"Cell:CGGCTAGAGGCACATG
group.by:Beta
color:Beta\",\"Cell:GTAACTGAGCCGGTAA
group.by:Beta
color:Beta\",\"Cell:CATCAAGGTGGTCTCG
group.by:Beta
color:Beta\",\"Cell:CCTTCGATCTCCAACC
group.by:Beta
color:Beta\",\"Cell:CGTGTAACATGGTCTA
group.by:Beta
color:Beta\",\"Cell:AAACGGGGTACAGTTC
group.by:Beta
color:Beta\",\"Cell:CAGGTGCGTACAAGTA
group.by:Beta
color:Beta\",\"Cell:CGGACTGCATCCCATC
group.by:Beta
color:Beta\",\"Cell:GCGCCAACACCTCGGA
group.by:Beta
color:Beta\",\"Cell:CTTCTCTCAGCATACT
group.by:Beta
color:Beta\",\"Cell:TCAGATGGTAGATTAG
group.by:Beta
color:Beta\",\"Cell:CATCGAAGTAGCGTCC
group.by:Beta
color:Beta\",\"Cell:CGGACTGCAGCCAATT
group.by:Beta
color:Beta\",\"Cell:GGCGTGTTCTCGTATT
group.by:Beta
color:Beta\",\"Cell:TATGCCCAGGGTATCG
group.by:Beta
color:Beta\",\"Cell:CGAGAAGCACTTACGA
group.by:Beta
color:Beta\",\"Cell:AACTCCCAGTACGACG
group.by:Beta
color:Beta\",\"Cell:CCATTCGCAAGCCATT
group.by:Beta
color:Beta\",\"Cell:TGGCGCATCACATAGC
group.by:Beta
color:Beta\",\"Cell:AAACGGGCAAAGAATC
group.by:Beta
color:Beta\",\"Cell:TCTGGAAGTCATCGGC
group.by:Beta
color:Beta\",\"Cell:ACCAGTAGTTCGTTGA
group.by:Beta
color:Beta\",\"Cell:TTTGGTTCAAATTGCC
group.by:Beta
color:Beta\",\"Cell:GCCTCTAAGAGTTGGC
group.by:Beta
color:Beta\",\"Cell:CGGCTAGGTAACGACG
group.by:Beta
color:Beta\",\"Cell:AAAGATGAGTCATGCT
group.by:Beta
color:Beta\",\"Cell:TGAGCCGTCGATAGAA
group.by:Beta
color:Beta\",\"Cell:AGGGAGTTCCTCAATT
group.by:Beta
color:Beta\",\"Cell:ATCACGATCACGGTTA
group.by:Beta
color:Beta\",\"Cell:GAGCAGAGTTTGCATG
group.by:Beta
color:Beta\",\"Cell:TCCACACTCACGATGT
group.by:Beta
color:Beta\",\"Cell:CGATGTAGTGGTACAG
group.by:Beta
color:Beta\",\"Cell:TGGGAAGGTCATGCAT
group.by:Beta
color:Beta\",\"Cell:CATGCCTGTTCGTCTC
group.by:Beta
color:Beta\",\"Cell:TCTCTAAAGCTGGAAC
group.by:Beta
color:Beta\",\"Cell:GAACGGAAGGAGCGAG
group.by:Beta
color:Beta\",\"Cell:AAAGTAGAGCGCCTTG
group.by:Beta
color:Beta\",\"Cell:AACTTTCAGGCATTGG
group.by:Beta
color:Beta\",\"Cell:TACGGTAGTGTGCCTG
group.by:Beta
color:Beta\",\"Cell:AAGCCGCAGGAGTTGC
group.by:Beta
color:Beta\",\"Cell:CATGGCGAGCCCTAAT
group.by:Beta
color:Beta\",\"Cell:TTGAACGTCATCGATG
group.by:Beta
color:Beta\",\"Cell:TAGGCATTCGTTGCCT
group.by:Beta
color:Beta\",\"Cell:AGATCTGTCGATCCCT
group.by:Beta
color:Beta\",\"Cell:CTACGTCAGTCTCGGC
group.by:Beta
color:Beta\",\"Cell:ACACCAAAGTAGGCCA
group.by:Beta
color:Beta\",\"Cell:GCACTCTGTCTGCAAT
group.by:Beta
color:Beta\",\"Cell:CGTCTACGTTTCCACC
group.by:Beta
color:Beta\",\"Cell:GACCAATAGAATGTGT
group.by:Beta
color:Beta\",\"Cell:TACCTATTCGTTACGA
group.by:Beta
color:Beta\",\"Cell:TGAGGGAAGCCGGTAA
group.by:Beta
color:Beta\",\"Cell:TGATTTCAGTGGAGTC
group.by:Beta
color:Beta\",\"Cell:CTAACTTAGATCACGG
group.by:Beta
color:Beta\",\"Cell:ATGAGGGCAAGGTTTC
group.by:Beta
color:Beta\",\"Cell:ACATACGGTAAACACA
group.by:Beta
color:Beta\",\"Cell:GAATGAATCCTGTAGA
group.by:Beta
color:Beta\",\"Cell:ACTGATGGTCCGACGT
group.by:Beta
color:Beta\",\"Cell:GTAACGTCAGCCTATA
group.by:Beta
color:Beta\",\"Cell:GGGAGATAGCGTTCCG
group.by:Beta
color:Beta\",\"Cell:TACGGATTCTAACTCT
group.by:Beta
color:Beta\",\"Cell:GGAAAGCAGGCATGGT
group.by:Beta
color:Beta\",\"Cell:CTCGGAGTCATCGCTC
group.by:Beta
color:Beta\",\"Cell:CGTTCTGAGCCCAGCT
group.by:Beta
color:Beta\",\"Cell:ACGCAGCGTGGCTCCA
group.by:Beta
color:Beta\",\"Cell:CACAGGCTCAAGATCC
group.by:Beta
color:Beta\",\"Cell:GCTGGGTTCGCCATAA
group.by:Beta
color:Beta\",\"Cell:CGTCCATCAGTCGTGC
group.by:Beta
color:Beta\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":\"rgba(253,191,111,1)\",\"size\":1.5,\"line\":{\"color\":\"rgba(253,191,111,1)\"}},\"showlegend\":true,\"visible\":true,\"name\":\"Beta\",\"textfont\":{\"color\":\"rgba(253,191,111,1)\"},\"error_y\":{\"color\":\"rgba(253,191,111,1)\"},\"error_x\":{\"color\":\"rgba(253,191,111,1)\"},\"line\":{\"color\":\"rgba(253,191,111,1)\"},\"frame\":null},{\"x\":[3.7651683157645168,4.2884904211722317,4.0858694380484524,3.9449616736136379,3.7688914602957668,3.708708888884634,4.2753692930899563,3.6917172735892239,4.8378187483511867,4.3068496054373684,3.6750012701712551,4.1570006674490871,4.4909569090567532,4.3201953238211575,4.1558662718497219,4.6197644537650051,3.7943307226859035,3.8011189764700832,3.8908783262930813,4.2860552138052883,4.953642970915884,4.1042176550589504,4.063956863280386,3.5586420363150539,4.2045790022574367,4.0581241911612453,4.309628135558218,4.9434748953543606,3.9707208937369289,4.0788031882010403,4.3074675863943996,4.2125812834464016,4.1810804671011867,4.1613327330313625,4.1415544813834133,4.1233750647269192,3.7564607924185696,4.540925628539175,3.6092368429861965,3.797756797667593,4.2756167715750637,3.9822994536124172,4.3417240446768703,3.9070087736807766,3.5692497557364407,3.9789401358328762,3.6990600889883938,3.7973028486929836,4.0392576521597805,4.0615278547964992,3.7082096403799953,4.1198397940360012,4.7570358580313625,3.6876221960745754,4.0421482390128078,4.8315531080923977,4.8818041151724758,4.0719081228934231,3.840809947844595,4.4146901434622707,3.6967369383536282,3.929534084197134,4.0964404410086575,3.9519139593802395,3.7683998411856594,4.1110025709830227,4.8735128706656399,4.1605702704153957,4.2244850462637844,3.598171836730093,3.9120718306265774,4.7828432387076321,4.2756439512930813,3.8340650862418117,4.1341716116629543,3.6935759848318996,4.8878732985220852,4.3533126181326809,3.9792114561758938,4.1878510779105129,3.7272607153616848,4.2237268751822414,4.7304683989249172,3.9582825964652004,4.2110291784964504,3.6590329474173489,4.1788326567374172,3.7835108107291164,4.2851477926932278,4.0993858641348782,3.85278475939855,4.206941253539175,3.9675642317496242,4.1869531935416164,3.6755405729971828,4.2089210814200344,3.9946595495902004,3.7615333861075344,4.2713748282156887,3.6478635138235989,4.2264033621512356,3.6208459204398098,4.0981928175650539,4.6671968764029446,3.8968588179312649,3.5979048079214992,4.6734758681021633,4.1653372114859524,3.5731941527090969,4.248017913695425,4.0969482725821438,4.19380677401647,4.0267154043875637,3.6752859419547024,3.9452782934866848,4.11096347033605,3.946593410369009,4.3577228850089016,4.2267390555106106,4.0319467848502102,4.0022865599356594,4.3862692183218899,4.3566633528433742,4.012112266417593,3.7653600043021145,3.8392578428946438,3.9582296675406399,3.8220959967337551,4.2790666884146633,4.8305007284842434,4.2600380247794094,4.1178962057791653,4.1578036612235012,4.1299988096915188,4.0152269667349758],\"y\":[-4.1813345869425689,-5.0962627848032866,-2.0351397713068873,-3.4739092310313135,-3.5910936315897852,-4.1603685339335357,-3.7919968088511378,-3.8577817400339991,-0.86170599063672126,-3.278905244672671,-4.3640995939616118,-3.723750682676211,1.3132356683369726,-3.6445847471598536,-3.0026050527933985,-1.3423747738245875,-3.783922048414126,-3.9147642572764307,-4.6768530329111968,-2.3055076321009547,-0.68876549241878093,-5.3729494531992827,-4.7047046144846831,-4.5010617693308745,-3.0754037817362696,-3.6829043348673731,-1.7410278042200953,-0.47179021140374244,-4.8555706461314116,-4.3189624269846831,-5.0903199633006011,-4.9740699251536284,-4.7634843309763824,-3.3286565264109522,-3.1477533300761134,-3.3545483072642237,-5.2532542665842925,-1.5070934613589198,-3.3516133745554835,-4.9233997782114898,-4.958230348432437,-4.9192923029307281,-3.352185102308169,-3.7284103353861719,-4.2564638574961577,-4.0790687521342193,-4.7821448763255034,-3.8162888010386378,-4.7334559877756988,-3.8477219065073878,-3.7607172449473292,-3.0956462343577296,0.096637038385495533,-3.7234464605692774,-5.3106635530833159,-0.63466766675747932,-0.83351120551861824,-3.4789639433268458,-4.2947400530222808,-4.290679307783023,-3.8767207582835108,-5.1896551569346343,-3.531302066648379,-4.8967646082285796,-3.658861013257876,-3.4552353342417628,-0.37577939232625068,-4.4964416941050445,-5.0694449861887847,-3.9731949289683253,-5.1671312769297515,-0.75854998281039299,-3.0913077314738184,-5.4139483888987456,-3.459409805143252,-3.7811191995982081,-0.99437400897778572,-2.0634958465937525,-3.4982336481455714,-4.7272222956065093,-5.0906585176829253,-3.1412273367289454,-0.94771781762875618,-4.5101326425913726,-3.6134074648264796,-4.6001072843912993,-3.0487497766856104,-4.0350559671763335,-4.5549701174143706,-4.9965170343760406,-3.5523766001109034,-4.4558144529704009,-4.6657434423808013,-3.4929128607157618,-4.0809699018839751,-2.5277898033503443,-3.4343720396403223,-4.9682110269907866,-2.6928626020792872,-3.9875546415690333,-3.4406310041788966,-4.5077687223795806,-3.5230122526530177,1.099791912233457,-4.1716831644419585,-3.7157302816752344,-1.2219919284228236,-4.2690785845164214,-4.7333548982981597,-5.430299611890689,-5.2894814928416167,-3.0151425321940333,-4.1383369882944976,-4.5225485285166656,-4.4413059671763335,-2.8859759291056544,-5.2353986223582183,-3.9434927423838526,-2.9411636312846094,-4.9088624437693511,-3.266095014417544,-4.4900182207468902,-3.7087305506113917,-3.241342874372378,-5.0214823206309234,-3.7565096338633448,-3.9927330931071192,-4.1723013838175689,-2.8455587347391993,-0.76378666808642448,-4.4622977693919097,-5.0639975984934722,-5.2773097475413238,-5.3637460192088042,-3.1654377897623927],\"z\":[1.6474694853583352,2.2678830271521582,0.77559181507024921,2.7288589125433935,2.5187892561713232,2.3033556586066259,1.9580397253790871,2.2424358969489111,1.4935800677100197,1.4389643317023293,2.2650366669455542,1.8464862948218361,1.2327821498671547,1.6243790036002175,2.4039139395514502,1.3589428907195107,0.68090977723989643,0.55365350301656879,1.1247000342169777,1.3499763255873696,1.6193426495352761,1.8633428459921852,1.5980829840460793,1.7556627636710183,1.7654970532217995,1.4878282194891945,1.0494790321150795,1.4979819899359719,1.6782898550787941,2.1459217911520971,1.6422769671240822,1.5686887150565163,2.2822488194266333,1.5832513218680397,1.189559364871122,1.9128696566382424,1.7500769739905373,1.3617116456786171,-0.21080580894555895,1.7848413830557839,1.64319309051428,2.2391173487463965,1.2016483789244667,0.46787341143283995,1.9167555218497292,0.71580704505834736,1.9681576138297097,1.7726575976172463,1.8767610436240212,1.1526832824507729,1.5409364348212258,0.8544526642123238,1.2083266025343911,0.4213397895852104,1.9154033308783547,1.2273513322630898,1.5856625681677834,0.88299956376943745,0.75345029886160053,1.9913510924139992,0.50619247014913715,1.9045886641303078,2.87701340969,1.8003981953421608,1.5368673449316994,1.6361664181509987,1.4694782143393532,1.392500722960569,1.8585914021292702,2.2972430830756201,2.0057422762671484,1.3438335901061074,1.8161207085410134,1.6121569519797341,0.93353792484197773,2.3818230276862158,1.7616051083365456,1.2911687141219155,1.8081029301444069,2.2930901890555395,1.8301757221976296,2.3696720248023047,1.3657154088774697,1.323900664404966,1.3786654120245949,2.2367086058417334,2.3664700632849707,1.4042710905829445,1.6668164377966896,1.8389694338599221,2.4151751642981543,2.3941752558508886,2.2259193306723608,1.3449152951994912,2.3593933230200781,3.0048808699408545,1.7172023897925393,1.9697740917960183,2.3569098358908667,1.2342852001944558,2.5018155222693457,2.0716530924597754,1.8232771998206154,1.1154466515341774,0.8878723030844704,1.9975769167700783,1.5046544914999977,1.4392054920950905,1.9821776991644875,1.8281238919058815,1.6713567620078102,1.9429345970908181,1.7048794871130959,1.6828380471030251,0.90038057620916523,2.216438139037229,1.7515104656973854,1.9326098805228249,2.1696555262366308,2.2898159867087378,2.7280842905798925,1.6591003781119362,2.000695312575437,2.5682856684485449,1.7376130467215554,1.240804219798185,2.4409746771613134,1.9236166125098244,1.9692984467307106,1.4489907866278664,1.5091299658576027,1.9984683638373391,2.0168980007926001,1.8868381624976174,2.6455645209113134],\"text\":[\"Cell:TTCTACACAGTCGATT
group.by:Alpha
color:Alpha\",\"Cell:GTTCATTGTTCCAACA
group.by:Alpha
color:Alpha\",\"Cell:AAAGTAGAGAGTGAGA
group.by:Alpha
color:Alpha\",\"Cell:GTTCTCGCAAGTCTAC
group.by:Alpha
color:Alpha\",\"Cell:CAGTCCTAGGTGGGTT
group.by:Alpha
color:Alpha\",\"Cell:CATCGGGAGGCCCTTG
group.by:Alpha
color:Alpha\",\"Cell:TGGACGCAGCTGCAAG
group.by:Alpha
color:Alpha\",\"Cell:CGTGTAAGTTAAGATG
group.by:Alpha
color:Alpha\",\"Cell:ATTTCTGTCCCTGACT
group.by:Alpha
color:Alpha\",\"Cell:CATGACACAAAGTCAA
group.by:Alpha
color:Alpha\",\"Cell:CTAACTTGTAGGAGTC
group.by:Alpha
color:Alpha\",\"Cell:CAACCTCTCTCTGTCG
group.by:Alpha
color:Alpha\",\"Cell:CCGTTCACAGTAGAGC
group.by:Alpha
color:Alpha\",\"Cell:CACCACTCAATCTACG
group.by:Alpha
color:Alpha\",\"Cell:GGCGTGTCAACTGCTA
group.by:Alpha
color:Alpha\",\"Cell:ACATCAGTCCGTTGTC
group.by:Alpha
color:Alpha\",\"Cell:ACAGCCGAGCCAACAG
group.by:Alpha
color:Alpha\",\"Cell:AGCGTATCACGAGGTA
group.by:Alpha
color:Alpha\",\"Cell:TCCACACCAGGCGATA
group.by:Alpha
color:Alpha\",\"Cell:GATGAAACAGGCTGAA
group.by:Alpha
color:Alpha\",\"Cell:CTGAAACAGTATCGAA
group.by:Alpha
color:Alpha\",\"Cell:GACCAATGTAAGAGAG
group.by:Alpha
color:Alpha\",\"Cell:CATCAGAGTTCGCTAA
group.by:Alpha
color:Alpha\",\"Cell:CCATTCGGTGCTAGCC
group.by:Alpha
color:Alpha\",\"Cell:CCACTACTCTTTAGTC
group.by:Alpha
color:Alpha\",\"Cell:GGATGTTGTTACGCGC
group.by:Alpha
color:Alpha\",\"Cell:CTCGTACCAGCCAGAA
group.by:Alpha
color:Alpha\",\"Cell:ATTATCCGTATAAACG
group.by:Alpha
color:Alpha\",\"Cell:GTCCTCAAGTTCGATC
group.by:Alpha
color:Alpha\",\"Cell:CGGAGCTGTTACGGAG
group.by:Alpha
color:Alpha\",\"Cell:GTCAAGTAGTATCGAA
group.by:Alpha
color:Alpha\",\"Cell:TCAGGTACAGTCACTA
group.by:Alpha
color:Alpha\",\"Cell:GGATGTTAGTAAGTAC
group.by:Alpha
color:Alpha\",\"Cell:ACGCAGCCAATCCGAT
group.by:Alpha
color:Alpha\",\"Cell:ACTTTCATCAGAGCTT
group.by:Alpha
color:Alpha\",\"Cell:TCGAGGCAGTTAACGA
group.by:Alpha
color:Alpha\",\"Cell:GTGCGGTCACCGAATT
group.by:Alpha
color:Alpha\",\"Cell:TTGGCAATCGGATGGA
group.by:Alpha
color:Alpha\",\"Cell:GACTAACCATGAGCGA
group.by:Alpha
color:Alpha\",\"Cell:CGTGAGCTCTTCTGGC
group.by:Alpha
color:Alpha\",\"Cell:ATCATGGGTTCTCATT
group.by:Alpha
color:Alpha\",\"Cell:GTGTGCGGTCTCCACT
group.by:Alpha
color:Alpha\",\"Cell:TCACAAGCAACGATGG
group.by:Alpha
color:Alpha\",\"Cell:CGATGGCTCAGTGTTG
group.by:Alpha
color:Alpha\",\"Cell:CATCCACCAGATGGGT
group.by:Alpha
color:Alpha\",\"Cell:TGCCCTATCATAAAGG
group.by:Alpha
color:Alpha\",\"Cell:CCACCTATCTAAGCCA
group.by:Alpha
color:Alpha\",\"Cell:TCTTCGGTCTGCTTGC
group.by:Alpha
color:Alpha\",\"Cell:GGCAATTGTCCATCCT
group.by:Alpha
color:Alpha\",\"Cell:CGTGTAATCGTTGACA
group.by:Alpha
color:Alpha\",\"Cell:AAGCCGCTCTTGCATT
group.by:Alpha
color:Alpha\",\"Cell:CGTAGGCCAACACCCG
group.by:Alpha
color:Alpha\",\"Cell:GCAATCACAGCTGCTG
group.by:Alpha
color:Alpha\",\"Cell:GGACAGAGTCAGCTAT
group.by:Alpha
color:Alpha\",\"Cell:CTTCTCTCATGCGCAC
group.by:Alpha
color:Alpha\",\"Cell:CCACGGAAGATCCTGT
group.by:Alpha
color:Alpha\",\"Cell:TGTGTTTGTATATCCG
group.by:Alpha
color:Alpha\",\"Cell:GACGCGTAGACGCACA
group.by:Alpha
color:Alpha\",\"Cell:GACGTGCTCCGGCACA
group.by:Alpha
color:Alpha\",\"Cell:AAGACCTAGACCTTTG
group.by:Alpha
color:Alpha\",\"Cell:ATCCACCTCATGCAAC
group.by:Alpha
color:Alpha\",\"Cell:GTACTCCTCTCTTATG
group.by:Alpha
color:Alpha\",\"Cell:CGGAGTCCATAACCTG
group.by:Alpha
color:Alpha\",\"Cell:TTAGGACAGGTCATCT
group.by:Alpha
color:Alpha\",\"Cell:GCAAACTTCGGAATCT
group.by:Alpha
color:Alpha\",\"Cell:CTCTAATAGTTATCGC
group.by:Alpha
color:Alpha\",\"Cell:CACATAGAGGGAAACA
group.by:Alpha
color:Alpha\",\"Cell:TGGTTCCTCAACCATG
group.by:Alpha
color:Alpha\",\"Cell:ACGATACTCGCGCCAA
group.by:Alpha
color:Alpha\",\"Cell:GGGACCTGTCAGCTAT
group.by:Alpha
color:Alpha\",\"Cell:CCACCTATCGGAAACG
group.by:Alpha
color:Alpha\",\"Cell:CTCGAAAGTGGTGTAG
group.by:Alpha
color:Alpha\",\"Cell:TTTGCGCAGCAACGGT
group.by:Alpha
color:Alpha\",\"Cell:TACACGAAGATCCCAT
group.by:Alpha
color:Alpha\",\"Cell:GCTGCGAAGAACAACT
group.by:Alpha
color:Alpha\",\"Cell:ATAGACCAGTGATCGG
group.by:Alpha
color:Alpha\",\"Cell:CTCGTACGTTGGTTTG
group.by:Alpha
color:Alpha\",\"Cell:TGTGTTTTCATTCACT
group.by:Alpha
color:Alpha\",\"Cell:TCACGAACAGGCGATA
group.by:Alpha
color:Alpha\",\"Cell:ACTTTCAAGACACTAA
group.by:Alpha
color:Alpha\",\"Cell:GCGAGAAGTGGGTATG
group.by:Alpha
color:Alpha\",\"Cell:ACATACGAGCTATGCT
group.by:Alpha
color:Alpha\",\"Cell:CTCGAAATCGCAAACT
group.by:Alpha
color:Alpha\",\"Cell:AGTCTTTGTCTCGTTC
group.by:Alpha
color:Alpha\",\"Cell:GCGACCATCACCAGGC
group.by:Alpha
color:Alpha\",\"Cell:TCACAAGTCTGGTTCC
group.by:Alpha
color:Alpha\",\"Cell:TAGACCATCTTATCTG
group.by:Alpha
color:Alpha\",\"Cell:AGACGTTAGCCGATTT
group.by:Alpha
color:Alpha\",\"Cell:GAACCTACAGCGATCC
group.by:Alpha
color:Alpha\",\"Cell:GATTCAGAGTACGTTC
group.by:Alpha
color:Alpha\",\"Cell:GCTTGAACATTTGCTT
group.by:Alpha
color:Alpha\",\"Cell:TATTACCAGATGGGTC
group.by:Alpha
color:Alpha\",\"Cell:GGGCATCCATTTCAGG
group.by:Alpha
color:Alpha\",\"Cell:TCGGTAACAGGGTACA
group.by:Alpha
color:Alpha\",\"Cell:TTAGGACAGATGGGTC
group.by:Alpha
color:Alpha\",\"Cell:CGTCAGGCAAACGCGA
group.by:Alpha
color:Alpha\",\"Cell:GCGACCACACGTTGGC
group.by:Alpha
color:Alpha\",\"Cell:AACTCAGAGGTAGCCA
group.by:Alpha
color:Alpha\",\"Cell:GTGGGTCGTCCAGTAT
group.by:Alpha
color:Alpha\",\"Cell:TATTACCTCGTTGCCT
group.by:Alpha
color:Alpha\",\"Cell:TCACAAGAGCATGGCA
group.by:Alpha
color:Alpha\",\"Cell:GTATCTTGTACTCAAC
group.by:Alpha
color:Alpha\",\"Cell:AGGCCACCAACTGCGC
group.by:Alpha
color:Alpha\",\"Cell:AGTCTTTAGTCTCGGC
group.by:Alpha
color:Alpha\",\"Cell:CATTCGCTCGCTTGTC
group.by:Alpha
color:Alpha\",\"Cell:CTCGAGGCAAGTCTGT
group.by:Alpha
color:Alpha\",\"Cell:TTGAACGAGGAATCGC
group.by:Alpha
color:Alpha\",\"Cell:CGCGGTACATTAGGCT
group.by:Alpha
color:Alpha\",\"Cell:TGCGTGGCAGTATAAG
group.by:Alpha
color:Alpha\",\"Cell:GATCGATCAGTCGATT
group.by:Alpha
color:Alpha\",\"Cell:CTGAAACAGGAGTAGA
group.by:Alpha
color:Alpha\",\"Cell:ATGTGTGCATGGGACA
group.by:Alpha
color:Alpha\",\"Cell:GGGATGAAGGGCATGT
group.by:Alpha
color:Alpha\",\"Cell:ACGAGGACATGGTTGT
group.by:Alpha
color:Alpha\",\"Cell:ATCTGCCGTCAGAAGC
group.by:Alpha
color:Alpha\",\"Cell:TAGAGCTTCTCGCTTG
group.by:Alpha
color:Alpha\",\"Cell:CACACCTCACTGCCAG
group.by:Alpha
color:Alpha\",\"Cell:AGTCTTTCACGGACAA
group.by:Alpha
color:Alpha\",\"Cell:GTCGGGTGTGCAACTT
group.by:Alpha
color:Alpha\",\"Cell:GAAATGATCGTCCGTT
group.by:Alpha
color:Alpha\",\"Cell:GTTCGGGAGGCAATTA
group.by:Alpha
color:Alpha\",\"Cell:ACTGATGGTTCCTCCA
group.by:Alpha
color:Alpha\",\"Cell:AAGGAGCAGTACATGA
group.by:Alpha
color:Alpha\",\"Cell:ATGCGATTCGCGTAGC
group.by:Alpha
color:Alpha\",\"Cell:CATCGGGTCATTTGGG
group.by:Alpha
color:Alpha\",\"Cell:CATTCGCTCTGCTGCT
group.by:Alpha
color:Alpha\",\"Cell:CCAGCGAGTACCGTAT
group.by:Alpha
color:Alpha\",\"Cell:GAAATGACATCTACGA
group.by:Alpha
color:Alpha\",\"Cell:TGAGCATCAAGCCGCT
group.by:Alpha
color:Alpha\",\"Cell:CCACTACGTTAAGAAC
group.by:Alpha
color:Alpha\",\"Cell:CACCACTCACGAAATA
group.by:Alpha
color:Alpha\",\"Cell:ACAGCTATCAAGGCTT
group.by:Alpha
color:Alpha\",\"Cell:AAGGCAGGTCTAGCCG
group.by:Alpha
color:Alpha\",\"Cell:GTTTCTAGTCCTCTTG
group.by:Alpha
color:Alpha\",\"Cell:ACGCCGAAGCTTCGCG
group.by:Alpha
color:Alpha\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":\"rgba(255,127,0,1)\",\"size\":1.5,\"line\":{\"color\":\"rgba(255,127,0,1)\"}},\"showlegend\":true,\"visible\":true,\"name\":\"Alpha\",\"textfont\":{\"color\":\"rgba(255,127,0,1)\"},\"error_y\":{\"color\":\"rgba(255,127,0,1)\"},\"error_x\":{\"color\":\"rgba(255,127,0,1)\"},\"line\":{\"color\":\"rgba(255,127,0,1)\"},\"frame\":null},{\"x\":[2.793688661452383,3.2613741224966946,2.6745559042654934,2.4691897696219387,3.2486630743704739,3.1013876265250149,2.3361758059225979,2.5643507307730617,2.3560041254721584,2.3313630884848537,2.6357158487997951,2.4152344530783596,2.8252738779745998,2.5578230684958401,2.7272015875540676,2.479031211730093,2.7370964354239407,2.3576153582297268],\"y\":[0.070623842870816578,0.1226136366482824,0.10801014105044304,0.053220657503232349,0.19655898014269768,0.013699082529172291,0.18593749204836785,0.27336951891146599,0.15909203687869011,0.26178195873461663,0.08589747348986565,0.15554716983996331,-0.00096622308529914491,0.10245349804125725,0.032042411958798755,0.23960020939074456,-0.01739844878949226,0.22291055122576653],\"z\":[2.2997942810812964,1.9235921746054665,2.415010178641416,2.6543135290900244,1.9238834028998391,2.1563965922156347,2.7292678004065527,2.4989740496436132,2.6990682726660742,2.7361378317633642,2.455823863104917,2.6428641920844091,2.2701818590918554,2.5116467123785986,2.4049763327399267,2.5852379446784033,2.3558253889838232,2.7110910063544287],\"text\":[\"Cell:ATCATCTGTGTTTGTG
group.by:Delta
color:Delta\",\"Cell:CCTACACGTTCTCATT
group.by:Delta
color:Delta\",\"Cell:AGCGTATTCTCGTATT
group.by:Delta
color:Delta\",\"Cell:GCCTCTAAGCTAGTCT
group.by:Delta
color:Delta\",\"Cell:GTGGGTCCATAAAGGT
group.by:Delta
color:Delta\",\"Cell:GGCAATTTCACATGCA
group.by:Delta
color:Delta\",\"Cell:TTCGGTCAGGGCATGT
group.by:Delta
color:Delta\",\"Cell:TACCTATGTCCAACTA
group.by:Delta
color:Delta\",\"Cell:GATCGCGAGCGTTGCC
group.by:Delta
color:Delta\",\"Cell:AGTGTCACATAGTAAG
group.by:Delta
color:Delta\",\"Cell:CCTCAGTGTGATAAGT
group.by:Delta
color:Delta\",\"Cell:CTGAAACGTATGGTTC
group.by:Delta
color:Delta\",\"Cell:CATTATCAGCTCCCAG
group.by:Delta
color:Delta\",\"Cell:AACTGGTGTACCGTTA
group.by:Delta
color:Delta\",\"Cell:ATCATCTGTAGGACAC
group.by:Delta
color:Delta\",\"Cell:TCAGATGCACGACGAA
group.by:Delta
color:Delta\",\"Cell:CGGTTAAAGTAGCGGT
group.by:Delta
color:Delta\",\"Cell:TCTTCGGTCTGGCGTG
group.by:Delta
color:Delta\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":\"rgba(251,154,153,1)\",\"size\":1.5,\"line\":{\"color\":\"rgba(251,154,153,1)\"}},\"showlegend\":true,\"visible\":true,\"name\":\"Delta\",\"textfont\":{\"color\":\"rgba(251,154,153,1)\"},\"error_y\":{\"color\":\"rgba(251,154,153,1)\"},\"error_x\":{\"color\":\"rgba(251,154,153,1)\"},\"line\":{\"color\":\"rgba(251,154,153,1)\"},\"frame\":null},{\"x\":[3.8172012633048,3.9640418356619778,4.0921779936514797,4.1104151076041164,4.1845375364981594,4.1118885344229641,3.8757530516348782,4.3496514624319973,3.8364697760306301,4.0921040838919582,3.8910366362296047,3.86671937167272,4.0656186407767239,4.0860859221182766,3.64369691073522,4.0735517805777492,4.0419470137320461,4.019373065825552,4.0086442297659817,3.9628754919730129,3.8232137030325832,3.784641391631216,3.8982225722037258,3.8025161093436184,4.1205469435416164,4.0269590681754055,3.834314472075552,4.1854006117545071,4.098847991820425,4.2035375899039211,4.0021592444144192,4.1749731367789211],\"y\":[-1.1458798964861781,-1.3012585361842066,-2.0352490862254053,-2.3230533321741968,-2.493720861280337,-2.9189573248270899,-1.545060189569369,-3.6142457445506007,-1.4805615266207606,-2.8548248728159815,-1.2251872738245875,-1.6241277178172022,-1.7047620733622462,-2.6839514692667872,-1.3848834355715662,-2.8300114591959864,-2.562305541837588,-1.5894029458407313,-1.9238525350932032,-1.3171585520152003,-1.3056107481364161,-1.4506988843325526,-1.7402947862986475,-1.169714810455218,-2.4311220367792994,-1.2190810163859278,-1.3806635459307581,-2.5046910961512476,-2.640328617895022,-3.2087076624277979,-1.5525943954829127,-2.5892675836924464],\"z\":[3.5603587275305761,3.0363416319647802,3.3926832323828711,3.2868349200049414,3.1031601076880468,3.1063513403693213,3.7029113417426123,2.2332950478354467,3.739574158743955,3.2407769804755224,3.1538161879340185,3.7083072310248388,3.1442126875678076,3.3176071291724218,3.7040762549201025,3.214291298941709,3.3964278345862402,3.0861770754614843,3.5408041125098242,3.0596899634161963,3.5063635950842871,3.7532853728095068,3.6653802042761816,3.5099353438178076,3.1888248568335547,2.9130816107550634,3.6451568251410498,3.0938043242255224,3.2434551363745703,2.8631963377753271,3.2229990607062353,3.077028000907041],\"text\":[\"Cell:CATCGGGCACGTTGGC
group.by:Epsilon
color:Epsilon\",\"Cell:AGATCTGGTTCGGCAC
group.by:Epsilon
color:Epsilon\",\"Cell:TACTCGCTCTTCGGTC
group.by:Epsilon
color:Epsilon\",\"Cell:GATCGTAAGTGCAAGC
group.by:Epsilon
color:Epsilon\",\"Cell:CTGGTCTAGGTGATTA
group.by:Epsilon
color:Epsilon\",\"Cell:TCAGGATTCCAGTAGT
group.by:Epsilon
color:Epsilon\",\"Cell:CTGAAACGTTCCCTTG
group.by:Epsilon
color:Epsilon\",\"Cell:CTTCTCTGTCAGAGGT
group.by:Epsilon
color:Epsilon\",\"Cell:TGGCTGGCAGTGAGTG
group.by:Epsilon
color:Epsilon\",\"Cell:GTACTTTTCAGTTCGA
group.by:Epsilon
color:Epsilon\",\"Cell:CAGAGAGAGGACCACA
group.by:Epsilon
color:Epsilon\",\"Cell:AAGACCTGTGGCTCCA
group.by:Epsilon
color:Epsilon\",\"Cell:AGAGCTTCATTCGACA
group.by:Epsilon
color:Epsilon\",\"Cell:TGAGAGGAGCCAGGAT
group.by:Epsilon
color:Epsilon\",\"Cell:TCAGCTCAGGCTATCT
group.by:Epsilon
color:Epsilon\",\"Cell:AACTGGTTCGTCCAGG
group.by:Epsilon
color:Epsilon\",\"Cell:GGGTCTGCAGCAGTTT
group.by:Epsilon
color:Epsilon\",\"Cell:CTCGAGGGTAAGTAGT
group.by:Epsilon
color:Epsilon\",\"Cell:AGCATACGTCGCGAAA
group.by:Epsilon
color:Epsilon\",\"Cell:GGGACCTGTTGGACCC
group.by:Epsilon
color:Epsilon\",\"Cell:GAAGCAGGTCTAGAGG
group.by:Epsilon
color:Epsilon\",\"Cell:ACGATACAGTCATCCA
group.by:Epsilon
color:Epsilon\",\"Cell:ACGCAGCGTTCATGGT
group.by:Epsilon
color:Epsilon\",\"Cell:ATGTGTGAGGAATTAC
group.by:Epsilon
color:Epsilon\",\"Cell:TACAGTGAGCGTTTAC
group.by:Epsilon
color:Epsilon\",\"Cell:GGGAGATGTTAAAGAC
group.by:Epsilon
color:Epsilon\",\"Cell:GGTGTTACACCTCGGA
group.by:Epsilon
color:Epsilon\",\"Cell:AGGCCACCACGAAGCA
group.by:Epsilon
color:Epsilon\",\"Cell:TTGGCAACATCATCCC
group.by:Epsilon
color:Epsilon\",\"Cell:CAGAGAGGTGTGAATA
group.by:Epsilon
color:Epsilon\",\"Cell:TGCGGGTTCCACTCCA
group.by:Epsilon
color:Epsilon\",\"Cell:TTTGCGCTCTTCCTTC
group.by:Epsilon
color:Epsilon\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":\"rgba(227,26,28,1)\",\"size\":1.5,\"line\":{\"color\":\"rgba(227,26,28,1)\"}},\"showlegend\":true,\"visible\":true,\"name\":\"Epsilon\",\"textfont\":{\"color\":\"rgba(227,26,28,1)\"},\"error_y\":{\"color\":\"rgba(227,26,28,1)\"},\"error_x\":{\"color\":\"rgba(227,26,28,1)\"},\"line\":{\"color\":\"rgba(227,26,28,1)\"},\"frame\":null},{\"x\":[-5.2168136014245556,-5.2400648182285705,-5.255031521959932,-5.2842716741885249,-5.2851273035861395,-5.2928017384219626,-5.2989471078534658,-5.300407756442258,-5.3029387178764793,-5.3057781461636946,-5.3104105399003849,-5.3267194214573159,-5.3294394726736707,-5.3326467307472667,-5.3328672936404953,-5.3331952996673637,-5.3419356849934889,-5.3424446966409391,-5.3507562536088162,-5.3547306216819539,-5.3565553120343381,-5.3586886828302029,-5.3653478532467744,-5.3691788602590602,-5.3746500517669693,-5.3833668870907134,-5.4027853598484699,-5.4153812264670433,-5.4448831944993223,-5.4565581693330705,-5.4652597327558201,-5.4661293205598582,-5.4726968212905529,-5.4808522950694512,-5.4875770208272314,-5.502905833279458,-5.5109012801907529,-5.5119207472511835,-5.5190906139019749,-5.519856886344817,-5.5271660095932775,-5.5353904581233104,-5.5355663520459029,-5.5356403082516037,-5.5377274666265439,-5.5388485978314872,-5.5408433985503107,-5.5422970180248736,-5.5517117882029421,-5.5566058862556797,-5.5578671721685158,-5.5592798250778444,-5.5600713713645851,-5.5625255946334757,-5.5700192328411937,-5.5721600652295455,-5.5844210869024815,-5.6087252567454193,-5.6110263818831285,-5.6118381281429972,-5.6136612858989672,-5.6214314687762927,-5.6282459950227395,-5.630387559034161,-5.6332184165536905,-5.6347433655884149,-5.6433981577449748,-5.6510246392704815,-5.659846488152672,-5.6612092248101646,-5.6616615165892634,-5.6704549673088893,-5.6754467623186455,-5.6757609378339753,-5.6835583906633618,-5.6888584753248077,-5.6896322364677872,-5.6899227819088569,-5.692842564071543,-5.6964947375774715,-5.6969657125406687,-5.7009134197089253,-5.701235983602575,-5.7014749024105793,-5.702811809214297,-5.706761581141909,-5.7103968749777598,-5.7123706686779698,-5.7228214224803535,-5.7285934507328866,-5.7296011355024019,-5.7298516393841892,-5.7308388554735741,-5.746624824097748,-5.7515668756254259,-5.7530260840236336,-5.7586732969480208,-5.7615795049672682,-5.7638166947377263,-5.7656492181105241,-5.7687043049009894,-5.7786079393067213,-5.7947704891763721,-5.7997202802553716,-5.8036860476779415,-5.8275477919880245,-5.8285015183549644,-5.8309849320978877,-5.8369398562764516,-5.8369808562418299,-5.837533537643659,-5.837587173303457,-5.8384346603525294,-5.8548218902605464,-5.8553414927325598,-5.8559866795345616,-5.8567590458959273,-5.8595119100490525,-5.8612611945326103,-5.8644125532203315,-5.8653693319610474,-5.866140821100613,-5.8683460567027357,-5.8691541257098443,-5.870762582456595,-5.8709556143669932,-5.8732252954134347,-5.8733691047091208,-5.8737178565425188,-5.8738993527446715,-5.8740449507417036,-5.8741177360883192,-5.8741825434325072,-5.8742340994193025,-5.8744017200811633,-5.8746941700476496,-5.8748392039502324,-5.8752093007911448,-5.8752195840626653,-5.8752475590892246,-5.8752503129008042,-5.8751596451915642,-5.874955946790239,-5.8746510956629638,-5.87247546200902,-5.8716352417871933,-5.8699439393715211,-5.8668850737940605,-5.8664295271098128,-5.8652908885746919,-5.8629953327484765,-5.8614934033965023,-5.8581567136803159,-5.8541570958156095,-5.8480939609599121,-5.8413710124879428,-5.8407334369389474,-5.8339204738975532,-5.8334153917592371,-5.8282223535145254,-5.828092729635852,-5.8277569704689691,-5.8267935234763462,-5.822857066624243,-5.8221864402394301,-5.8210455715731317,-5.8202567201588113,-5.8183083743514752,-5.8175500017671418,-5.8169167387359977,-5.814946565912245,-5.8135962843638422,-5.8108288951578908,-5.8097503355820166,-5.8074247593170227,-5.8056341306587314,-5.8052813817043418,-5.802907923950281,-5.8027151665679995,-5.802254587989407,-5.7994165881893363,-5.7972598852527399,-5.7971882060323106,-5.7916875027962194,-5.7898110377953902,-5.7867257303067907,-5.7685618962501639,-5.7668257978498589,-5.7667907460237604,-5.764298511845511,-5.7640153878606712,-5.7612971663951056,-5.7593251495411781,-5.758432891140842,-5.7555965087174554,-5.7541872163772609,-5.7531578089114683,-5.7512900449729978,-5.7503116370119232,-5.7466794005359914,-5.7446296677405568,-5.7434417727267437,-5.7428622383723678,-5.7375586815817563,-5.7347771039825277,-5.7327272850137048,-5.7288725347899918,-5.7217854864885433,-5.7217468175867223,-5.7216396055331202,-5.7168765904384697,-5.7152009271819404,-5.7139435976534578,-5.7113698603444156,-5.7106055191889631,-5.7086855096878093,-5.7062509924043319,-5.7047551910659662,-5.7014405811207114,-5.6996057432438105,-5.6979898600928571,-5.6973166619308842,-5.6969795034004855,-5.6965884214130931,-5.6925929510980158,-5.6901653540421968,-5.6878533672765004,-5.6863964492349863,-5.6854033397371833,-5.6849641580060997,-5.6790635455825633,-5.6780771965824641,-5.6777743466628223,-5.6682292624088397,-5.6640552212724957,-5.6629717922753011,-5.6602426359384825,-5.6593596255706826,-5.6591122047014162,-5.6560311618467463,-5.6552311899854253,-5.64703316247732,-5.6448098325731415,-5.6437633467989645,-5.6378355927862742,-5.6307766315162597,-5.6293168338816519,-5.6278686857242963,-5.6251580752392751,-5.6157297351301354,-5.6137385147367755,-5.604589639685682,-5.5824347834763053,-5.5605841700821674,-5.5491227488795731,-5.5360278791020781,-5.5310613446258117,-5.5292960730333167,-5.5175004540558197,-5.5174009602826155,-5.5021236584618967,-5.4939624033249004,-5.4898205133722362,-5.4868197104603968,-5.4771516230742723,-5.4691528507314846,-5.4680495097383535,-5.4659915835190471,-5.4589044079937317,-5.4540201370643286,-5.449269158107648,-5.4436912972579341,-5.4434633122654095,-5.4304104826017872,-5.4274648255185749,-5.4223073339290817,-5.4210200672538145,-5.4176813494427876,-5.4171112133207568,-5.4060131107416147,-5.3997158360722146,-5.3968520772937945,-5.3952516612129315,-5.3894122614839102,-5.3722740289869026,-5.368442470464533,-5.3642158399228741,-5.3581029131345801,-5.3579356173822541,-5.3551574161920499,-5.3525220303069609,-5.3272010428211534,-5.3238523994472393,-5.3052250974189912,-5.3033967594087494,-5.3017978006332847,-5.2700454021867484,-5.2618665776394264,-5.2553852900381397,-5.2544583475509397,-5.2008824687159469,-5.2001174322692627,-5.1940758268201979,-5.1144608556691828,-5.0921594360794193,-5.0500607102451376,-5.0404915008968283,-4.98916250818138,-4.9222963770304684,-4.8834783509998667,-4.8732256673263983,-4.7890603448837643,-4.762972970018355,-4.6734847168235625,-4.6439759769720492,-4.6029044837812716,-4.5883565894231824,-4.5338222293532784,-4.4111844373481945,-4.3835965798195984,-4.3705227734632128,-4.2351229618380586,-4.2206784234621857,-4.2176437710537318,-4.1384360705453354,-4.0762453639360254,-4.013440392350395,-4.0059918149955243,-3.9978402506389989,-3.9965606021125573,-3.947488276221558,-3.9259767944656501,-3.8867662789058079,-3.880249217477306,-3.7923102425543935,-3.7664936190957512,-3.7604331879688302,-3.6978287053857963,-3.5917950732840844,-3.5204803236787505,-3.4811579450621193,-3.4198483921323408,-2.992886874570031,-2.9860936025642459,-2.8952920620058866,-2.7816892501649764,-2.7674879399954975,-2.5986757903644477,-2.5412987577219073,-2.5170468187110622,-2.4847282415425922,-2.4809870486247902,-2.2912768260264755,-2.2331678650761448,-2.2077775525110468,-2.1882502421093797,-2.0654587491886014,-1.9850987064667778,-1.9633971005393684,-1.8150070993635146,-1.783466398475992,-1.7415315667476456,-1.7027380152884934,-1.6139213704476885,-1.4070349834612137,-1.3845673645470853,-1.3591480475790378,-1.2126610881103126,-1.0852451014224211,-1.041381605790999,-0.98631126307514094,-0.96864803833356317,-0.87953329781052203,-0.86185488862663284,-0.8364215629247016,-0.79817906357847446,-0.76022575281876947,-0.75892553426418241,-0.71901703743289669,-0.65582876778983534,-0.61994435408080617,-0.58603021337757411,-0.56461396478379222,-0.55971051142612749,-0.49921041710403785,-0.44461592028043223,-0.43421376560152952,-0.38017122118980268,-0.3459918660715543,-0.33842824914934949,-0.19973018537509601,-0.19655798518082218,-0.15206804269358443,-0.11165743046364097,0.075277315817345758,0.093010424276202222,0.16141434508485569,0.18810829105743401,0.19649195805393535,0.20303836668635722,0.22100998489032417,0.25716066975100643,0.26436927973309171,0.28464396157632282,0.29634179032430613,0.35671698104162292,0.382145962649029,0.41816723861852612,0.53738015836714403,0.54855461810088424,0.59789800783410085,0.62809505696607781,0.64350941171247755,0.69193754115020278,0.6971813052893735,0.78201219698591018,0.78956760165487705,0.8192961604801472,0.85490335996850042,0.85766404196408419,0.86054106529101815,0.91942688931173322,0.92845098964835704,0.9521767390746172,0.98277142497897096,1.0052925035392672,1.017304146762412,1.0264504171897126,1.0823986520012854,1.0886177496992173,1.1484709377633551,1.1938981557412829,1.2280126101249129,1.2337380181695985,1.2887281708766749,1.2938239029430563,1.3044528540545737,1.3045418904090205,1.3618562049008909,1.3679683710284012,1.3942544945011943,1.4067146092369831,1.4175688833695157,1.5241070033228037,1.5304233137481342,1.678597181795922,1.7707130102635942,1.8237076556344525,1.8586148924571686,1.8661291750215347,1.8810099887466596,1.9367273029386542,1.9556712656464894,1.9857175179623203,2.0065785282005399,2.0184393568795715,2.0493830243384812,2.1019662079936481,2.1066983963048838,2.1403987914148166,2.152943971110445,2.166390516144777,2.1697003567226205,2.1817651207063364,2.3233609773171815,2.356070134225059,2.410383345268996,2.4384832599729611,2.4395542262060892,2.4399133192514459,2.4466263318244921,2.4648034860707955,2.4664394669129872,2.5434493216748404,2.6163376910988028,2.6184723805519727,2.6359130623698896,2.6776822792473127,2.7072505037689369,2.7288371799799789,2.7719945360425946,2.7882512499691341,2.8767129132301585,2.8941061950170499,2.9321081549223162,2.9529874500951783,3.0169542994757257,3.0169741686721365,3.0389188673364367,3.0482973396172124,3.0679027704446815,3.0798641949092658,3.0846833503721012,3.10072400005058,3.1009683209035659,3.1228182825392294,3.1336114679686511,3.1359349889101438,3.1556196768164586,3.1942611024269123,3.1981688469899257,3.2060351614427094,3.2165511007850069,3.2334238405764331,3.2360746908115767,3.344145903554828,3.3537130388043446,3.3546630694751967,3.35785787427008,3.3697775362625166,3.3704513345162002,3.3744522705143174,3.3790167085117924,3.3818291105434479,3.4211573871049517,3.4484621045139181,3.453127959775605,3.5136829845660937,3.5203162377714197,3.5236378670685053,3.5251869333942145,3.5361497405972706,3.5692153345183764,3.6045633858533681,3.6519378988120734,3.652055238090874,3.6552243909454551,3.6747133190408268,3.6852256723832832,3.6893596977606391,3.6942473942477942,3.7125992812355388,3.7409465644809021,3.7484635622241038,3.7547017708159296,3.7676891128742325,3.7777002037507996,3.7876125803124188,3.8031302013528387,3.8083435905864582,3.8189138581118147,3.8305081370727381,3.8391899465337351,3.8445150216555977,3.8452599533060301,3.8481040179858059,3.8607113825199471,3.8659138916130336,3.8987882730271615,3.9213734541052907,3.9318024866122849,3.9346576099774722,3.944197408409964,3.9536194194253902,3.9551488257607108,3.9581723466023524,3.9604112647472327,3.9625159675318531,3.9782018566802453,3.9812551674482832,3.9888530425874658,4.0040296188114164,4.0075105948812801,4.0075479952515183,4.0210615933938971,4.0211003120226385,4.0264463158847557,4.03591823382766,4.0466409207109075,4.0469357141615374,4.0476728120679653,4.048558191097599,4.0486705147528967,4.0488386230130464,4.0511177936444209,4.0541624769120785,4.0563197300482345,4.0592177186272433,4.0619144429111911,4.0645006427084018,4.0647337974319901,4.0652838217289542,4.0719684968071235,4.071983332363498,4.0735483718704293,4.0742122051915208,4.0748084046701782,4.0772365522593752,4.0772670794029109,4.0805348526609837,4.0811469850749633,4.0830178047020667,4.0838426139641033,4.0864014041366818,4.0875378297829297,4.0881057384295669,4.0882097714564125,4.0902582599834991,4.0908627623628568,4.0909618790066693,4.0915558277619661,4.0915943131090344,4.0917833563846546,4.0927100072437339,4.0932158275098063,4.0937669967787986,4.0940813298939407,4.09377768789781,4.0937397669459434,4.092433996945676,4.0873826893563932,4.0814092329810405,4.0678649555472051,4.0637281073021354,4.062588800240559,4.06044984512444,4.0542056818884014,4.0535887096784311,4.0498412928037819,4.0396673129716101,4.0372578819685945,4.0355825826100764,4.0336473010304603,4.031222773308679,4.0173135157118409,4.0147999620719235,4.0112547640299789,4.009614838058793,4.009386580202194,4.0013852071885694,3.9991393237572739,3.9973092124419178,3.9919216518374201,3.9912037973507428,3.9873319430358825,3.9814391708859231,3.9807260113770777,3.979904821724574,3.9733044833914879,3.9644869290014535,3.9620696184143682,3.9607047629961603,3.9597278086606398,3.9588606552276677,3.9585124403076901,3.9575526670217434,3.9554253490672004,3.9478858681307742,3.9411790200598329,3.9385605978789977,3.9374570936827831,3.9309505253609713,3.9222163913119852,3.9159871150498859,3.909858418244768,3.9078277561668591,3.8937008480491082,3.8929627995735507,3.8905186380139889,3.8833146386740358,3.8767296705442096,3.8758488367732871,3.8715245396589135,3.8613887063795511,3.8581171088685693,3.8444816977617506,3.8416403363425933,3.8393994620793701,3.8367756500049066,3.8344581518702214,3.8324411520960502,3.8263812471246874,3.8262482887680109,3.7999299470462722,3.7979762722010681,3.7937048229746586,3.7924927860324118,3.7900125446484911,3.7889314475177671,3.7830148720271235,3.7765649569791426,3.7649732969535576,3.7640646329176897,3.7431639672632224,3.7333518419648222,3.7329861577961938,3.7260222262808842,3.7061054847625527,3.7001750692295934,3.6978148798568293,3.6947220820670679,3.6934252536255459,3.6840286109470224,3.6696287722558374,3.6574316971547831,3.6515006144691866,3.6507975541948667,3.6431535438198086,3.5974842745571629,3.5970172977345136,3.594243592900451,3.5848517230331085,3.5654956908491875,3.5500200033714862,3.5425504203224918,3.5367096947336623,3.5169811167092582,3.5118694944941904,3.511314082486217,3.4949153722437667,3.4761223843083422,3.4746541519417553,3.4665409805239338,3.4173207831039041,3.4091387199256116,3.393355358674369,3.3899072744779035,3.3850651070103477,3.3624436499290886,3.3547749917306602,3.3395663473752455,3.3199697308462328,3.3139020931305252,3.2867315390740792,3.2606250861230306,3.1924224127509384,3.184738895463386,3.1765461334610321,3.1612029089772742,3.1284254824709885,3.0855836699151711,3.0247963479476399,3.0153139547106167,2.8538223317566813,2.8513027626707284,2.8425711831983795,2.8380599061562117,2.798219931157913,2.7477394778620354,2.7475713922854865,2.745211371674154,2.7113806550184414,2.7090794218430863,2.6809894197627178,2.6643850872885944,2.614047149865192,2.608963653877824,2.600292142256547,2.6000132795372104,2.5759775983732358,2.559722101314021,2.5555419412895493,2.5311433677587933,2.5262965887335671,2.5092435670481574,2.5052325901814596,2.4561691353652106,2.4492548672429417,2.449022010317679,2.4479177507020489,2.4428259685279587,2.4427653605577953,2.4418773758974242,2.3950959714896913,2.3658348791991188,2.3107963657911328,2.2750477421181872,2.2708931378015018,2.2629575285751815,2.2623005188873999,2.2559242386084444,2.2555903238163642,2.2508568452176556,2.2442665043745498,2.241945123774308,2.2345406745768397,2.2298064256037295,2.1847333917266352,2.1525679516633391,2.1261806310029518,2.1209956262713718,2.1041317208541099,2.0488201539061275,2.0478556833877364,2.02933631215899,2.0274599879931903],\"y\":[-3.1961858757761483,-3.1555751046283067,-3.1291488785017254,-3.0768239811630291,-3.0752782258917315,-3.0613749837628497,-3.0501905832642944,-3.0475254155255262,-3.0429010202686468,-3.0377034521216237,-3.0292018933122722,-2.9990480321513084,-2.9939840648333313,-2.9879999220670612,-2.9875878667205953,-2.9869749603963807,-2.9705867546714213,-2.969628988181872,-2.953936147166091,-2.9463959314435115,-2.942926098495799,-2.938862822068613,-2.926134204512675,-2.9187798028379146,-2.9082358135572912,-2.8913350879651984,-2.8532153619652405,-2.8281225448264626,-2.7681225591642522,-2.7438658025207774,-2.7255837042126383,-2.7237468514676215,-2.7098150077428085,-2.6923656680410173,-2.6778493196945212,-2.6443055965318401,-2.6265465147151561,-2.6242686568090567,-2.6081602051568011,-2.6064293396274811,-2.5898268912825277,-2.5709394204584521,-2.5705330333109893,-2.5703621330811535,-2.5655314556933435,-2.5629305221398777,-2.5582921036660999,-2.554903416898187,-2.532774926539997,-2.5211445825590415,-2.5181327489022274,-2.5147523056188903,-2.5128548269346287,-2.5069562854753582,-2.4887995260415838,-2.4835709489077167,-2.4532556959710803,-2.3911503929371398,-2.385120036155727,-2.3829861967290342,-2.3781810374102359,-2.3575013683704134,-2.3390879025446005,-2.3332456412614548,-2.3254810603001665,-2.3212782964920553,-2.2971509585232894,-2.2754859414859587,-2.249922067850064,-2.2459227786052471,-2.2445923534071115,-2.2184141523865222,-2.2032788895509272,-2.2023193839868829,-2.1782332079612097,-2.1615504202464786,-2.1590929651227153,-2.1581687258846145,-2.1488356268989612,-2.1370433955664616,-2.1355129378547582,-2.1225947012141138,-2.1215319507405841,-2.1207440728899729,-2.1163241207268526,-2.1031521051640687,-2.0908742192213405,-2.0841437905149323,-2.0477123457727631,-2.0269782801370337,-2.0233108747687529,-2.0223969242226851,-2.0187862887700838,-1.9590001442402918,-1.9394138747777647,-1.9335435341427027,-1.9104286999089712,-1.8982756216800567,-1.8887945168130409,-1.880943968623745,-1.8676805848756819,-1.823199688182483,-1.745096851594341,-1.7195562739617745,-1.6984550992920686,-1.5561347723996584,-1.5497513534915841,-1.5328079964397463,-1.4900728362944522,-1.4897672090061085,-1.485630851473327,-1.4852277854395302,-1.4788195612769968,-1.335555162865619,-1.3301860475011091,-1.3234194463307387,-1.3151662221457927,-1.2842306799634304,-1.2631292475909639,-1.2214330138782974,-1.2075915746535115,-1.1959319744496055,-1.1595478017715324,-1.1447762303022966,-1.1121127352419653,-1.1078227260938507,-1.0474297348693462,-1.0426562828413335,-1.0302753424648261,-1.0232834380775455,-1.0173364553110864,-1.0142327401246813,-1.0113869535958213,-1.0090629471159898,-1.0010851047151061,-0.98508835780632042,-0.97566474532856284,-0.93937092181907,-0.93762204218365619,-0.93208677512635396,-0.893646815086792,-0.87851504329874741,-0.85815425810163126,-0.83735158970857093,-0.75470179731056153,-0.73265931568456522,-0.69494396419926585,-0.63963856113601225,-0.63233240438312843,-0.61485227156195998,-0.58240855303092154,-0.56280401019429416,-0.52276010572467912,-0.47961304135243327,-0.42138809682554856,-0.36402484784437306,-0.35889460042785343,-0.3067971767074078,-0.30311348816266243,-0.26646700640248078,-0.26557908254263551,-0.26328483839531375,-0.25674664083164167,-0.23069127511022794,-0.22635223766663101,-0.2190338668610961,-0.214019036087503,-0.20178687203048987,-0.19708299923786413,-0.19317905079985959,-0.18116862146979945,-0.17305159005302034,-0.15669274920075993,-0.15041384340631359,-0.13705153157085304,-0.1269207778279689,-0.12494072141254738,-0.11174791831770688,-0.11068621469388791,-0.10815515628836518,-0.092735470935784339,-0.081213099549657025,-0.080832953775996336,-0.052173624883588662,-0.042618584675302634,-0.027138410012647204,0.058860772490682126,0.066671630221114747,0.066828664881649374,0.077927715373016848,0.079180422970776224,0.091124626935013359,0.099698033391567048,0.10355236932879813,0.11570470221977905,0.12168728093021022,0.12603444095959995,0.13387371756044128,0.13795579322492374,0.15297228252541359,0.16135449269915658,0.16618293323268873,0.16853088730783561,0.18979132731109263,0.20078459842988763,0.20881951720785377,0.22378236547010866,0.25081575004780543,0.25096162942127076,0.2513659998758746,0.26919999750872337,0.27541477194056585,0.28005826203327122,0.28951159930603282,0.29230581863956229,0.2992986243606397,0.30811226514075712,0.31349862188701733,0.32535794494399528,0.33187836466250353,0.33759499748558364,0.3399696078652728,0.34115734789258034,0.34253376811111264,0.35651813314960873,0.36494699952709042,0.37292792168561539,0.37793424261076258,0.38133677749415584,0.38283890417220756,0.40287060061026247,0.40619236709133349,0.4072107777928895,0.43895484294450227,0.45262807734994775,0.45615713361936616,0.46501091287615098,0.46786463382436305,0.46866330378748478,0.47857444601099336,0.48113748301357184,0.50716411942257222,0.5141492447543109,0.51742644496102486,0.53586433472457839,0.55754962616735892,0.56199836083585963,0.56639969082567088,0.57460645531766175,0.60283935661380617,0.60874135504189475,0.63559592813088273,0.69892797647288485,0.75920760310811508,0.79002098138663901,0.82458436284423642,0.83752025507362771,0.84209566121054258,0.87237241359561368,0.87262563017241979,0.91108927451905253,0.93130406333301152,0.94147675377096562,0.94881100349540404,0.97223865872766357,0.99139206647905476,0.99401802430241692,0.99890560123409466,1.0156358569311499,1.0270749958143175,1.0381317137757848,1.0510253596049837,1.0515503704971356,1.0813511514331531,1.0880070716938541,1.0996002128488065,1.1024818121869502,1.1099335584516523,1.1112028759448467,1.135727985130506,1.1494908364835368,1.1557134128916162,1.1591811020466471,1.1717742907529283,1.2082043239522826,1.2162423086084591,1.2250644946278384,1.2377417538892417,1.2380873405524977,1.2438157989207004,1.2492314639308206,1.3003697157406646,1.307012851284832,1.3434658224175795,1.3469985404894409,1.3500814758802782,1.4100489746637157,1.4251145186990875,1.4369440915868978,1.4386281113691068,1.5330315202855829,1.5343420518952735,1.5446583283799709,1.6757824075768737,1.7111348788194864,1.7765051595370074,1.791135095592566,1.8683077181846721,1.9659113472626077,2.0212412292986439,2.0357055953828733,2.1522881189173746,2.1876995670542456,2.3068495693671793,2.3454069806913251,2.3985123556894794,2.4171720278106701,2.4864490165373776,2.6386362843592068,2.6722306093583876,2.6880728024178562,2.8493320169629976,2.8662450527419798,2.8697914611008928,2.9615330237220494,3.0324860657660619,3.1032141077949817,3.1115420729715231,3.1206415643740444,3.1220686521298724,3.1765174720791345,3.2002171208416805,3.2431558643765679,3.2502603072253189,3.34524113969018,3.3728170582070183,3.3792704997667191,3.445494595367304,3.5558583948150266,3.6288380599001595,3.6686562295135525,3.7301464850074089,4.1387917264634195,4.1450203202210991,4.2274557685602954,4.3284430514363255,4.3408988299533231,4.4860731779542515,4.5341932062487595,4.5543441084501888,4.5810227733317817,4.5840981565399517,4.7364857982694293,4.7817451116568712,4.8013085042375732,4.8162659301246968,4.9085360194109162,4.9672242985860917,4.982838697003185,5.0868700900458315,5.108354959340625,5.1365717698529076,5.1623165813493985,5.2199371025392001,5.3467330394562067,5.359852077376158,5.3745356034994476,5.4557713495378071,5.521527044807744,5.5430538885320946,5.5692449261036101,5.5774443265244509,5.6172787819325798,5.6248698159621577,5.6356054761850594,5.651329970757125,5.6664290828933703,5.6669372762043757,5.6822383544928519,5.7052616553747253,5.7176601668612195,5.7289143665166957,5.7357843962131332,5.7373312081200609,5.7555982423833036,5.7707458301381429,5.7734837749864996,5.7869219603141753,5.7947228270735058,5.7963741621274485,5.8215987403284801,5.8220587053024273,5.8279284195980461,5.8322941850792036,5.8394393824245912,5.8388906626058139,5.8344702226619196,5.8318090479162521,5.8308703255884993,5.8301037936626487,5.8278506506811052,5.8226759300009254,5.8215442782936648,5.8181885259014559,5.816138276734061,5.8042799686717768,5.7986705303396251,5.7901302107997914,5.7572182294713778,5.7537883143574522,5.737977475053091,5.7277816894045506,5.7224293941894278,5.7049819605275527,5.7030363955270751,5.6700897636021335,5.6670243995175174,5.6547615347274203,5.6396585876852461,5.6384690443777741,5.6372265529157666,5.6111732932720928,5.6070775209887866,5.5961809596768779,5.5818593575531228,5.5711256426780773,5.5653353162949797,5.5608959879726712,5.5331790621718833,5.5300393265015453,5.4992344460652012,5.4751571871597928,5.4566895589298197,5.453558111865294,5.4230196464046427,5.420147778830402,5.4141347961147064,5.4140842974449752,5.3811358145444972,5.3775704882313686,5.3621252686425995,5.3547407389134953,5.3482749757844603,5.2832060103783629,5.2792578947990583,5.1837997223758112,5.1217521522060734,5.0851285098628383,5.0606361468638177,5.0553255529001948,5.0447687852526375,5.0047692896190643,4.9909992920899473,4.9689817463349444,4.9535666533997711,4.9447551344566953,4.9216057243267839,4.8817302238458993,4.8781082705070942,4.852153819526082,4.8424198262059628,4.8319426422005138,4.829356730589998,4.8199073767808551,4.7062052995911472,4.6791842318737258,4.6336626249946722,4.6097827027647957,4.6088680502181134,4.6085612939741676,4.602819745168663,4.5872064943062423,4.5857964655240853,4.5184991129970129,4.453051639606052,4.4511077467479687,4.4351658794778412,4.3965394719309101,4.3687987942624584,4.3483284425951583,4.306822038904043,4.2909765260649131,4.2025194166002171,4.184640354519308,4.1449489416352678,4.1227465952595725,4.0527323983408374,4.0527101334996072,4.027899971960113,4.0171567795585119,3.9942885665099657,3.9800222254534856,3.9742066477075269,3.95456702467275,3.9542645144372108,3.9267981499714009,3.9129274967093637,3.9099150447943622,3.884015392081817,3.8311771976455304,3.8256842304218597,3.8145425077891493,3.7994708447762644,3.7748612680014566,3.7709466632747355,3.5997803714681322,3.5834974796152372,3.5818701303140408,3.5763837128392248,3.5557239978271094,3.5545471312036194,3.5475390566353426,3.5395020445453009,3.5345276669636854,3.4631500499176688,3.4115430640353881,3.4025511155856929,3.2810626600834021,3.267195116174983,3.2602078525643594,3.2569394107395779,3.2336273427963942,3.1613413424492323,3.0806288761922977,2.9664479820545893,2.9661561166345853,2.9582556974371794,2.908912218976297,2.8817389695145192,2.8709428545940225,2.8580969264607621,2.8090552934989916,2.7306655143950915,2.7093114726210019,2.6914015290851472,2.6535492200269246,2.623831929699973,2.5939263376971264,2.546103910621496,2.5297504003356539,2.4961310701454984,2.458514083968367,2.4298149373241977,2.4119776039372849,2.4094677620283793,2.3998521271031463,2.3565730810694441,2.3383910836969983,2.2187008975833273,2.1310139664899692,2.0887774032000479,2.077003602539603,2.0369631851329819,1.9962869684267082,1.9895714008304131,1.9761981385807719,1.96621020580491,1.9567533495164011,1.8840507345864974,1.8694054419651547,1.8321854541703015,1.7541034511055864,1.7353956211940413,1.7351928365549467,1.6591737488420111,1.6589473683791995,1.6271573635367642,1.5679226422882986,1.4952830427022257,1.4931846064687755,1.4879108845603362,1.4815244834641439,1.4807101520313966,1.4794896326662101,1.4627277501779099,1.439668701157337,1.4228212624073666,1.399443648652233,1.3768251860197187,1.3542365181276079,1.3521524560935152,1.3472027939694473,1.2826475741504633,1.2824936113723842,1.2659243853840889,1.2586871621575588,1.2520716438751902,1.2238484932892548,1.2234791182596851,1.1816789237553618,1.1732813052313644,1.1462480701878472,1.1335775592417172,1.0904927858346847,1.0689863927858534,1.0575202031584769,1.0553603075141842,1.0079907011256084,0.99163476650033999,0.98880938168369337,0.97083930266438978,0.9696051209363421,0.96339895502604755,0.92840075754347751,0.9040544864014044,0.8671793214590815,0.82541436117003553,0.7455726572537863,0.7422685468177338,0.67090070993798034,0.53451331898538412,0.43198767512760111,0.26632657570952212,0.22486757325332149,0.21394696641411234,0.19395801116834832,0.13894761498209779,0.13375108587620008,0.1029953880816553,0.02547223025068434,0.0081967347728031451,-0.0036012065996976275,-0.01702259680777897,-0.033538375148906091,-0.12268691891222946,-0.13790598868559198,-0.15896524944983875,-0.1685532852917726,-0.16988036964129891,-0.2153110856933789,-0.22770343040194518,-0.23769236926964515,-0.26655510542162741,-0.27034198495808798,-0.29053944675651866,-0.32057626043287196,-0.3241564971392813,-0.32826485665233562,-0.36075175697883055,-0.4027630447290062,-0.41402161361742762,-0.42033150320812263,-0.42482765467494249,-0.42880436694079338,-0.43039755357816795,-0.43477789425918933,-0.44443045923117741,-0.47803721978170061,-0.50718397214659428,-0.51838208062809099,-0.52307192351395693,-0.5503801320645435,-0.58615513814287012,-0.61108923149090089,-0.63517522817335537,-0.64306200029792393,-0.69670743860574014,-0.69945380046209538,-0.70851052842498352,-0.73487073592949037,-0.75854548671109323,-0.76168286405602914,-0.77698699196934817,-0.81223928367796905,-0.82343918548867068,-0.86922882700540871,-0.87859669215461578,-0.88594397112755019,-0.89450172960978158,-0.90202050809356527,-0.90853427507578832,-0.92793899446602823,-0.9283620057761981,-1.0099020303341242,-1.0157890047732929,-1.0285843285795573,-1.0321963245728834,-1.0395622288488604,-1.0427622765086313,-1.0601626607292229,-1.0789188314291445,-1.1120885723694922,-1.1146602750111565,-1.1727233745639303,-1.1992913956527729,-1.2002733875898952,-1.2188729612009161,-1.2710478629391599,-1.2863046998333261,-1.2923423942803192,-1.3002251511800207,-1.3035207195343392,-1.3272315074689949,-1.3630108822220064,-1.3928140913604425,-1.4071464410109058,-1.408838586437942,-1.427145146050075,-1.5332447935042375,-1.5343024299770687,-1.5405737105573183,-1.5616734489013371,-1.6045222322668085,-1.6381918821506749,-1.6542635557659717,-1.6667514052368047,-1.7084348309601314,-1.7191132435646161,-1.7202705800549833,-1.7541864009862926,-1.7924669303270457,-1.7954320994306638,-1.8117519108175584,-1.9085086041744952,-1.9242380637759919,-1.9543112553803801,-1.9608349465575605,-1.9699687630255187,-2.0122249023849936,-2.0263986435977555,-2.0542895696914996,-2.0898117756048458,-2.1007182284861643,-2.1490416464517836,-2.1947108438531111,-2.3107694953287545,-2.323568300654979,-2.337156974359706,-2.3624464347088452,-2.4157997978448202,-2.4842263449196929,-2.5789579493876893,-2.5935010931215805,-2.8325568762006861,-2.836168160516146,-2.848657207476998,-2.8550942041865244,-2.9114896680097773,-2.9818323579070327,-2.982064580055801,-2.985323747406543,-3.0317672027754026,-3.0349079139207054,-3.0730605463798337,-3.0954558139029147,-3.1626634552637136,-3.1693948831150669,-3.1808544934595817,-3.1812225392605411,-3.2128346248179369,-3.2340923007158815,-3.2395431814689024,-3.2712334643067948,-3.2775036253097163,-3.2994997109118223,-3.3046587691166374,-3.3673290203695081,-3.3760973499837732,-3.3763923803010538,-3.3777912437089057,-3.3842364172001238,-3.3843130849684679,-3.3854362324240004,-3.4442583579431383,-3.4807128902578057,-3.5486100018494651,-3.5922602089595301,-3.5973108678496941,-3.6069453482436833,-3.6077422701760713,-3.6154705374684188,-3.6158749613702783,-3.6216048416750639,-3.629572803168426,-3.6323767734610257,-3.6413113078710997,-3.6470165406951383,-3.7010534805648758,-3.7393138972764834,-3.7705199472469864,-3.7766330002060675,-3.7964732695599461,-3.8611066414786959,-3.8622278109476302,-3.8837181167641597,-3.8858914507206999],\"z\":[3.6137247792123866,3.5382588992615096,3.4892541056928823,3.3924911699884839,3.3896384869798921,3.3639960950270855,3.3433895131862346,3.3384819721276524,3.329969441692179,3.3204058891649675,3.3047723900311552,3.2494199388478084,3.2401395764463232,3.229178754489999,3.2284242518465791,3.2273020333672369,3.1973209790004153,3.1955703469385601,3.1669111994846699,3.1531576341661922,3.1468322891502796,3.1394281398480683,3.1162552357864528,3.1028812475066343,3.0837264717186974,3.0530725992263719,2.98416219045503,2.9389825706563046,2.8315757760195268,2.7884164958585202,2.7559926366614205,2.7527400045881856,2.7281006565505348,2.6973178693883519,2.671776136067006,2.612993948349823,2.5820110472086575,2.5780441051066156,2.5500372808168144,2.5470327993764847,2.518262452856737,2.4856408149174793,2.4849402036613695,2.484645587994637,2.4763219485608907,2.4718435315318348,2.4638624473949529,2.4580362434622489,2.4200854782219769,2.4002060243380896,2.3950655593437715,2.3892997048573612,2.3860650057985295,2.3760175518611932,2.3451662408481653,2.3363036366012833,2.2851115607836125,2.1812930194156595,2.1712898167562571,2.1677535265448848,2.1597966203823451,2.1256549159724432,2.0953952522834061,2.0858223476106734,2.0731205748087134,2.0662554582581953,2.0269811647099218,1.9919160107341116,1.950788354189247,1.9443787129431704,1.9422479237694759,1.9004720743545653,1.8764506518770458,1.8749310823708825,1.836914601821839,1.810729397155161,1.806882357600138,1.8054361785956843,1.7908532449622554,1.7724821778366917,1.7701023379980554,1.7500555728451295,1.74840963929462,1.7471897351742625,1.7403512069732792,1.7200226620192798,1.7011432354803291,1.6908224446795446,1.6353082250266193,1.6039805050993785,1.5984595806317832,1.5970846669507495,1.5916566709440219,1.5026439591585059,1.4738404387890411,1.4652421145610022,1.431541225259735,1.4139220847904339,1.4002245523064001,1.3889145198273145,1.369871950781012,1.3064826157107279,1.1967743385503105,1.1613316007164411,1.1322081087061331,0.9394483488038321,0.93094944368659682,0.90845101958340635,0.85208916625905107,0.851688055851612,0.84626216861310288,0.8457337172995627,0.83733852447946533,0.65279314621824325,0.64599196045216001,0.63743219553400321,0.62700939899000308,0.58811250690647832,0.56173439587579055,0.50997500561175135,0.4928989493847426,0.47855532265099759,0.43403353520015475,0.41606045871506869,0.37652576618491979,0.37135448935625465,0.29907304267985646,0.29340089862265806,0.27871679647461822,0.2704419064088055,0.26341369940430082,0.25974934989496168,0.25639171956878637,0.25365127684457867,0.24425455313159589,0.22546237196218638,0.21442289461060218,0.17211878829766289,0.17008880041506455,0.16366895270918297,0.11930054213256142,0.1019374567429035,0.078665040924424001,0.05499460282477793,-0.037990285215878286,-0.062506107970281555,-0.1041799505025964,-0.16467099253470743,-0.1726075474376392,-0.19154444498643092,-0.22650028538207559,-0.24750262277167079,-0.29012201604083088,-0.33562674690048933,-0.3963529950838941,-0.45542372755243665,-0.46067034989012162,-0.51361389814664182,-0.51733435929245408,-0.55418167790465622,-0.55507075570937037,-0.55736716998989211,-0.56390513667197162,-0.58986541062956666,-0.59417401588692398,-0.60143163473279371,-0.60639800966892676,-0.61848872475530747,-0.62312943138964494,-0.62697725909282354,-0.63879403072393748,-0.64676225080512284,-0.66277731371771109,-0.66890871958590337,-0.6819284701516356,-0.69177355201405077,-0.69369516173500467,-0.70647676479121235,-0.70750373132127742,-0.70995099001909745,-0.72483010763222222,-0.7359148883036567,-0.7362801072199131,-0.76372414947676559,-0.77283461573886492,-0.78755281480836759,-0.86838368199867644,-0.87564694540847476,-0.87579283783916206,-0.88609109341907522,-0.88725177514360243,-0.89830181429602818,-0.90621475018207931,-0.90976708503773607,-0.92094665122549779,-0.92643886386922358,-0.93042496053439916,-0.93760303844486304,-0.94133567732156398,-0.95499658910416807,-0.96256748366358835,-0.96691109491343741,-0.96901871027209685,-0.98796869982125679,-0.99767428820509785,-1.0047288288008791,-1.0177793439475551,-1.0410794556831018,-1.0412042392468985,-1.0415500806151605,-1.0567266995247382,-1.0619809273696799,-1.0658952590292976,-1.0738341659570863,-1.0761731148660703,-1.082011444374861,-1.0893395171162776,-1.0938014309358095,-1.1035816919500023,-1.1089337224721536,-1.1136114108751274,-1.1155504814354595,-1.1165195001347541,-1.117641728432736,-1.1289997334531618,-1.1358075482887544,-1.1422275829784583,-1.1462420160154481,-1.1489648443111085,-1.1501654711245919,-1.1660939072229628,-1.168720573915967,-1.1695250497260889,-1.1944096491458127,-1.2050167016269857,-1.2077437226898469,-1.2145663319570594,-1.2167596229487341,-1.2173729595254232,-1.2249661518512056,-1.226924362273373,-1.2466857723719549,-1.2519517892296095,-1.2544170432278838,-1.2682234623674062,-1.2843265887217123,-1.2876124776769489,-1.2908575177882389,-1.2968928737278549,-1.3175056404177858,-1.3217858576585251,-1.3411388620901332,-1.3860196115063059,-1.427812149401529,-1.4488512937867171,-1.472205158135276,-1.4808813717001224,-1.4839419577796944,-1.50408952969481,-1.5042572746672642,-1.5295969138658694,-1.5428054760864958,-1.5494250738052526,-1.5541865029910769,-1.5693347479035826,-1.5816520280934419,-1.5833361474192407,-1.5864678166625783,-1.5971593529048236,-1.6044449267167651,-1.6114683537637,-1.6196360576792577,-1.6199681278487532,-1.638753894803286,-1.6429330632986903,-1.6501982587089301,-1.6520013824827138,-1.6566592758351246,-1.6574519888110271,-1.6727290915438457,-1.6812704281118405,-1.6851249654550378,-1.6872710837131217,-1.6950535304056848,-1.7174710179481887,-1.7223990271568552,-1.7278006161704662,-1.7355497463645728,-1.7357607835644082,-1.7392573768805899,-1.7425603588570078,-1.7736295221782037,-1.7776509032419594,-1.7996651061764872,-1.8017941807730731,-1.8036516017087973,-1.8396874242403081,-1.8487177774289207,-1.8558037069768016,-1.8568110305343348,-1.9098295732535759,-1.9105204937685363,-1.9159186899295546,-1.9786954180505478,-1.9939232681351098,-2.0203767140908124,-2.0260088352106895,-2.0540829356259329,-2.0859282429955801,-2.1023113774662354,-2.1064063408598588,-2.1367332829050176,-2.1450484604786246,-2.1701911485639034,-2.1774388800731281,-2.1867476708087277,-2.1898381655552286,-2.2005185537065777,-2.2198173588155052,-2.2233466622607838,-2.2249228970373007,-2.2378759055857751,-2.23891902158381,-2.2391303797392728,-2.2437256074213896,-2.2461555948273948,-2.2476334838231082,-2.2477466590575266,-2.2478558253000021,-2.2478715761577379,-2.2481972347133818,-2.2481729260885404,-2.2478757702227155,-2.2477954007803955,-2.2458822228337301,-2.2450379820638746,-2.2448218589622777,-2.2422008159792393,-2.2362220319733526,-2.2311802588893404,-2.2280684856278827,-2.222766086361081,-2.1723382146665475,-2.1713647108955056,-2.1578911870250019,-2.1398733559448635,-2.1375338952559395,-2.1083195682499971,-2.0978241236457422,-2.0933052698021921,-2.087208452432284,-2.0864972132841411,-2.0489957509634817,-2.0369675630283064,-2.0316355571117,-2.0275036848237593,-2.0009171803597434,-1.9829712152458963,-1.9780530362342097,-1.9436339897408168,-1.9361454189500429,-1.9260980474900553,-1.9167122319342018,-1.8949013967309902,-1.8424300628068719,-1.8365970260967381,-1.8299668613450921,-1.7911362164560825,-1.7565297396964612,-1.744444235476674,-1.7291495711476994,-1.7242157504201088,-1.6991186220488557,-1.6940998512302974,-1.6868566287660238,-1.6759151221636377,-1.6649973303835011,-1.6646222728473965,-1.6530774531743997,-1.6346694794906953,-1.6241466151207036,-1.6141563234785579,-1.6078252491712437,-1.6063732730727549,-1.5883851529989192,-1.5720384050510043,-1.5689116653597832,-1.5526058514139278,-1.5422407673435865,-1.5399416422547452,-1.4974425377480824,-1.4964631824605568,-1.4826941734529633,-1.4701340885930119,-1.4114007751482534,-1.4056869889712313,-1.3819566998551438,-1.3720161096398265,-1.3688200207153209,-1.366300308237796,-1.3592766705648049,-1.3446917833442196,-1.3417130010400034,-1.3332136215751904,-1.3282300006943026,-1.3016246170245682,-1.2899976752603308,-1.2731261812514405,-1.2142185256520979,-1.2084738510891915,-1.182687836269293,-1.1665843139116889,-1.1582736784733352,-1.1317828917598998,-1.1288809142877818,-1.0810788696838725,-1.0767467111524598,-1.0595887039379681,-1.0388103272875506,-1.0371893134083248,-1.035498479237589,-1.0005631803731236,-0.99515598757471202,-0.98087477151423086,-0.96232433291056663,-0.94857580493559501,-0.94121166066177997,-0.93558991689857751,-0.90094220517333068,-0.89706429714083347,-0.85948824222349374,-0.83067874960316823,-0.80889148995326665,-0.8052227757183662,-0.76981809651008037,-0.7665224767576243,-0.7596405810039184,-0.75958288930589224,-0.72230220344809126,-0.71831031614818941,-0.70110948846288723,-0.692937783537388,-0.6858100728788149,-0.6154444136445032,-0.61125216960439788,-0.51242507238237445,-0.45068523692320894,-0.41513104189220085,-0.39171563420065619,-0.38667655672481405,-0.37669962618344882,-0.33937968594638185,-0.32670837172384803,-0.30663484963709886,-0.29271798380457947,-0.28481365481619819,-0.26422383596028604,-0.22935802047397533,-0.22622892183211954,-0.20399151455243514,-0.19573574747084185,-0.18690121791412975,-0.18472898332761281,-0.17681911710693374,-0.085133249063487473,-0.064317498167810142,-0.030128046821844601,-0.012643972779623001,-0.011980581877613979,-0.011758198357106654,-0.0076055626258086304,0.0035930818406048129,0.0045976318168730566,0.051199602623290527,0.093884493394470414,0.095110652409976432,0.10507286353074667,0.12850373158304146,0.14469221703627325,0.15628228883190237,0.17881641037665119,0.18706463081647687,0.22922661075931869,0.23689161752777843,0.25278427723122227,0.26096262418609606,0.28308616325516567,0.28309225076460298,0.2894725226633118,0.29197786192928749,0.29710105357020233,0.30025792645801824,0.30153625981531457,0.305817082352345,0.30588258604211072,0.3117757022287943,0.31471131260245899,0.31534531811060562,0.32074426788348948,0.33147401976997298,0.33256780677818615,0.33477398403321557,0.33773195376289594,0.34249698332364759,0.34324756373116744,0.37411082216708896,0.37684918318559185,0.3771209817547998,0.37803480225792785,0.38144106606608696,0.38163344449107839,0.38277533168671529,0.38407707386156709,0.38487859070055064,0.39602757095704005,0.40367714926522313,0.40497453579315057,0.42146227943541975,0.42321998475450084,0.42409587450152181,0.42450334544823387,0.42736801055015294,0.43578301030179567,0.44433000814072299,0.45484998219200345,0.4548744631445073,0.45553239536098844,0.45943349166752817,0.46142695942489875,0.46218810242399916,0.46307073094603202,0.4662078888795258,0.47044209575389206,0.47142548846885257,0.4721931245599551,0.47364188311766298,0.47461182897431586,0.47543682925232361,0.47643534842266688,0.47668476063795417,0.47704758114925022,0.47721058797378502,0.4771591672593587,0.47704930908168686,0.47702901341518417,0.47694014746307301,0.47631964107689378,0.47594977046966502,0.47184088856292905,0.46689335469822868,0.46389177563422168,0.46298095515931337,0.45963604476288011,0.45583734525220787,0.45517047579796793,0.45380843205521343,0.4527613696556112,0.45174628507657266,0.44315336848636966,0.44124885462832258,0.43613747585968654,0.42410077152606951,0.42094183249919193,0.4209069910097627,0.40691134461841988,0.4068668133059693,0.4004390783117116,0.38750938069463664,0.36985987653240116,0.3693191794957742,0.36795244207950495,0.36628217947015573,0.36606800415637192,0.36574648855045677,0.36126866110861044,0.35491564653212726,0.35012952254232554,0.34328097114215622,0.33641947285216584,0.32932927398172834,0.32866290814724675,0.32707190854214624,0.30520713263089294,0.30515243256183117,0.29919200867534285,0.29654223405429014,0.29409508069771012,0.28338125914065992,0.28323808171783404,0.26695055820776659,0.26365786295644889,0.25301064101174403,0.24799504147451371,0.23081730570751674,0.22217065047069057,0.21754071600600994,0.21666700735489097,0.19737909493686082,0.1906624856533784,0.18949924093531201,0.18207996055650405,0.18156908197940155,0.17899750321571711,0.16441411747265675,0.15418654579364877,0.13856418192949135,0.12067528969589124,0.085884897205732544,0.084428038352380372,0.052619627767366173,-0.010041961507719518,-0.05884697502755875,-0.14098649106316768,-0.16220684670749269,-0.167842096673121,-0.17820662917229868,-0.20706722209530853,-0.20981937918216581,-0.22620064253682395,-0.26820617745516745,-0.27770884164979848,-0.28422870086133956,-0.29167572020913507,-0.30088378727781706,-0.35144171741828534,-0.36021947796816878,-0.3724375144737781,-0.37802807977825459,-0.37880325110476154,-0.40554394033759489,-0.41290750066530324,-0.41886481704080436,-0.43618881759790323,-0.43847404275679547,-0.45071080407965358,-0.4690608743676935,-0.47126033912621956,-0.47378747596558379,-0.49389306403708771,-0.52021875947011276,-0.52733697719123207,-0.53133818950883105,-0.5341944640014944,-0.53672435817103203,-0.53773885810569944,-0.54053095309949528,-0.54669821233810079,-0.56832791398026727,-0.58728751636100363,-0.59462182144431086,-0.5977017941954017,-0.61573417615305059,-0.63961373767452734,-0.6564313890956599,-0.67281482277256432,-0.6782091507166268,-0.71529527629280343,-0.71721257539930416,-0.72354832278675718,-0.74210348716726271,-0.75891509211950137,-0.76115347830768143,-0.77210784382390352,-0.79756696123348725,-0.805722239829196,-0.83940420535504656,-0.84636309359900042,-0.85183734652741405,-0.85823169345989347,-0.86386594274033102,-0.86875939766943788,-0.88340532367860747,-0.88372573809340849,-0.94641519077513059,-0.95101362389890642,-0.96104253813273433,-0.96388212360953052,-0.96968453397080989,-0.97221023030732789,-0.98599594488061215,-1.0009551460002661,-1.0276655378260751,-1.0297502059120653,-1.0773537000551854,-1.0994839056760135,-1.1003061065022923,-1.1159292752491878,-1.1602624695650552,-1.1733673995474669,-1.1785711125596026,-1.1853800479718555,-1.1882317197002874,-1.2088362962407899,-1.2402188340399465,-1.2666256135850573,-1.2794105112292111,-1.2809236337633871,-1.2973430132611092,-1.3942855285521834,-1.3952671048135679,-1.4010935320665867,-1.4207737220588921,-1.4611048284678547,-1.4931380772060292,-1.5085343310184789,-1.52054439738856,-1.5609298185867861,-1.5713489854800253,-1.5724800153142187,-1.6057800778153897,-1.6437248034226062,-1.6466797970782587,-1.6629842351761077,-1.7610534955411912,-1.7772217263016439,-1.8083078324301398,-1.8150813214937105,-1.8245828417452308,-1.8688118633039477,-1.8837470383969948,-1.913281729122956,-1.9511752319748532,-1.9628718794881683,-2.0150453060071443,-2.0648723605843147,-2.1937326334576941,-2.2081369148467189,-2.2234717781180322,-2.2521246799310539,-2.3130551502920311,-2.392142828081155,-2.5033491066837597,-2.5205947803257911,-2.8104533549538209,-2.8149217389361807,-2.8303949014656293,-2.8383820143722378,-2.9087061395101652,-2.9972831630590426,-2.997577139740125,-3.0017040843980558,-3.0607293428528801,-3.0647353545496605,-3.1135440736873594,-3.1423177717928796,-3.2292053513409322,-3.2379517951331795,-3.2528599395849027,-3.25333911945701,-3.294583990888754,-3.3224155553224146,-3.329564473072796,-3.3712258761990048,-3.3794888043965332,-3.4085271541115834,-3.415349485099568,-3.4985700797462829,-3.510263954741391,-3.510657633927579,-3.5125244210893651,-3.5211295244477152,-3.5212319249177,-3.5227321509675598,-3.601578484687161,-3.6507100348900252,-3.7427483557307943,-3.8022735921845139,-3.8091786713749767,-3.822360579789537,-3.8234515148981956,-3.8340356429728186,-3.8345897459270568,-3.8424427369070906,-3.8533707017453578,-3.8572184131399814,-3.8694859733849309,-3.8773253069981508,-3.9517952773114593,-4.0047592675947827,-4.0480993761309332,-4.0566040770608556,-4.0842393081339425,-4.1746068920478852,-4.1761789816596782,-4.206341658931775,-4.2093951162937815],\"text\":[\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\",\"Lineage:Lineage1\"],\"type\":\"scatter3d\",\"mode\":\"lines\",\"line\":{\"color\":\"#1B9E77\",\"width\":6,\"reverscale\":false},\"name\":\"Lineage1\",\"showlegend\":true,\"visible\":true,\"marker\":{\"color\":\"rgba(188,189,34,1)\",\"line\":{\"color\":\"rgba(188,189,34,1)\"}},\"error_y\":{\"color\":\"rgba(188,189,34,1)\"},\"error_x\":{\"color\":\"rgba(188,189,34,1)\"},\"frame\":null}],\"highlight\":{\"on\":\"plotly_click\",\"persistent\":false,\"dynamic\":false,\"selectize\":false,\"opacityDim\":0.20000000000000001,\"selected\":{\"opacity\":1},\"debounce\":0},\"shinyEvents\":[\"plotly_hover\",\"plotly_click\",\"plotly_selected\",\"plotly_relayout\",\"plotly_brushed\",\"plotly_brushing\",\"plotly_clickannotation\",\"plotly_doubleclick\",\"plotly_deselect\",\"plotly_afterplot\",\"plotly_sunburstclick\"],\"base_url\":\"https://plot.ly\"},\"evals\":[],\"jsHooks\":[]}"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellScoring.html","id":null,"dir":"Reference","previous_headings":"","what":"CellScoring — CellScoring","title":"CellScoring — CellScoring","text":"CellScoring","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellScoring.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"CellScoring — CellScoring","text":"","code":"CellScoring(   srt,   features = NULL,   slot = \"data\",   assay = NULL,   split.by = NULL,   IDtype = \"symbol\",   species = \"Homo_sapiens\",   db = \"GO_BP\",   termnames = NULL,   db_update = FALSE,   db_version = \"latest\",   convert_species = TRUE,   Ensembl_version = 103,   mirror = NULL,   minGSSize = 10,   maxGSSize = 500,   method = \"Seurat\",   classification = TRUE,   name = \"\",   new_assay = FALSE,   BPPARAM = BiocParallel::bpparam(),   seed = 11,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellScoring.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"CellScoring — CellScoring","text":"seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellScoring.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"CellScoring — CellScoring","text":"","code":"data(\"pancreas_sub\") ccgenes <- CC_GenePrefetch(\"Mus_musculus\") #> Using cached conversion results for Mus_musculus pancreas_sub <- CellScoring(   srt = pancreas_sub,   features = list(S = ccgenes$cc_S_genes, G2M = ccgenes$cc_G2M_genes),   method = \"Seurat\", name = \"CC\" ) #> Data is raw counts. Perform NormalizeData(LogNormalize) on the data ... #> Number of feature lists to be scored: 2 #> [2023-09-08 15:27:02.040479] Start CellScoring #> Workers: 1 #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 15:27:02.308371] CellScoring done #> Elapsed time:0.27 secs CellDimPlot(pancreas_sub, \"CC_classification\")  FeatureDimPlot(pancreas_sub, \"CC_G2M\")   if (FALSE) { data(\"panc8_sub\") panc8_sub <- Integration_SCP(panc8_sub,   batch = \"tech\", integration_method = \"Seurat\" ) CellDimPlot(panc8_sub, group.by = c(\"tech\", \"celltype\"))  panc8_sub <- CellScoring(   srt = panc8_sub, slot = \"data\", assay = \"RNA\",   db = \"GO_BP\", species = \"Homo_sapiens\",   minGSSize = 10, maxGSSize = 100,   method = \"Seurat\", name = \"GO\", new_assay = TRUE ) panc8_sub <- Integration_SCP(panc8_sub,   assay = \"GO\",   batch = \"tech\", integration_method = \"Seurat\" ) CellDimPlot(panc8_sub, group.by = c(\"tech\", \"celltype\"))  pancreas_sub <- CellScoring(   srt = pancreas_sub, slot = \"data\", assay = \"RNA\",   db = \"GO_BP\", species = \"Mus_musculus\",   termnames = panc8_sub[[\"GO\"]]@meta.features[, \"termnames\"],   method = \"Seurat\", name = \"GO\", new_assay = TRUE ) pancreas_sub <- Standard_SCP(pancreas_sub, assay = \"GO\") CellDimPlot(pancreas_sub, \"SubCellType\")  pancreas_sub[[\"tech\"]] <- \"Mouse\" panc_merge <- Integration_SCP(   srtList = list(panc8_sub, pancreas_sub),   assay = \"GO\",   batch = \"tech\", integration_method = \"Seurat\" ) CellDimPlot(panc_merge, group.by = c(\"tech\", \"celltype\", \"SubCellType\", \"Phase\"))  genenames <- make.unique(capitalize(rownames(panc8_sub[[\"RNA\"]]), force_tolower = TRUE)) panc8_sub <- RenameFeatures(panc8_sub, newnames = genenames, assay = \"RNA\") head(rownames(panc8_sub)) panc_merge <- Integration_SCP(   srtList = list(panc8_sub, pancreas_sub),   assay = \"RNA\",   batch = \"tech\", integration_method = \"Seurat\" ) CellDimPlot(panc_merge, group.by = c(\"tech\", \"celltype\", \"SubCellType\", \"Phase\")) }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellStatPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"Statistical plot of cells — CellStatPlot","title":"Statistical plot of cells — CellStatPlot","text":"Statistical plot cells","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellStatPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Statistical plot of cells — CellStatPlot","text":"","code":"CellStatPlot(   srt,   stat.by,   group.by = NULL,   split.by = NULL,   bg.by = NULL,   cells = NULL,   flip = FALSE,   NA_color = \"grey\",   NA_stat = TRUE,   keep_empty = FALSE,   individual = FALSE,   stat_level = NULL,   plot_type = c(\"bar\", \"rose\", \"ring\", \"pie\", \"trend\", \"area\", \"dot\", \"sankey\", \"chord\",     \"venn\", \"upset\"),   stat_type = c(\"percent\", \"count\"),   position = c(\"stack\", \"dodge\"),   palette = \"Paired\",   palcolor = NULL,   alpha = 1,   bg_palette = \"Paired\",   bg_palcolor = NULL,   bg_apha = 0.2,   label = FALSE,   label.size = 3.5,   label.fg = \"black\",   label.bg = \"white\",   label.bg.r = 0.1,   aspect.ratio = NULL,   title = NULL,   subtitle = NULL,   xlab = NULL,   ylab = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE,   force = FALSE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellStatPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Statistical plot of cells — CellStatPlot","text":"srt Seurat object. stat.name metadata column counted. seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CellStatPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Statistical plot of cells — CellStatPlot","text":"","code":"library(dplyr) data(\"pancreas_sub\") CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"SubCellType\", label = TRUE)  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"SubCellType\", label = TRUE) %>% panel_fix(height = 2, width = 3)  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"SubCellType\", stat_type = \"count\", position = \"dodge\", label = TRUE)  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"SubCellType\", bg.by = \"CellType\", palette = \"Set1\", stat_type = \"count\", position = \"dodge\")   CellStatPlot(pancreas_sub, stat.by = \"Phase\", plot_type = \"bar\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", plot_type = \"rose\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", plot_type = \"ring\") #> Warning: Removed 1 rows containing missing values (`position_stack()`).  CellStatPlot(pancreas_sub, stat.by = \"Phase\", plot_type = \"pie\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", plot_type = \"dot\")   CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", plot_type = \"bar\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", plot_type = \"rose\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", plot_type = \"ring\") #> Warning: Removed 1 rows containing missing values (`position_stack()`).  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", plot_type = \"area\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", plot_type = \"dot\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", plot_type = \"trend\")   CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", plot_type = \"bar\", individual = TRUE)   CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", stat_type = \"count\", plot_type = \"bar\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", stat_type = \"count\", plot_type = \"rose\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", stat_type = \"count\", plot_type = \"ring\") #> Warning: Removed 1 rows containing missing values (`position_stack()`).  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", stat_type = \"count\", plot_type = \"area\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", stat_type = \"count\", plot_type = \"dot\")  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", stat_type = \"count\", plot_type = \"trend\")   CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", stat_type = \"count\", plot_type = \"bar\", position = \"dodge\", label = TRUE)  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", stat_type = \"count\", plot_type = \"rose\", position = \"dodge\", label = TRUE)  CellStatPlot(pancreas_sub, stat.by = \"Phase\", group.by = \"CellType\", stat_type = \"count\", plot_type = \"ring\", position = \"dodge\", label = TRUE) #> Warning: Removed 1 rows containing missing values (`geom_col()`). #> Warning: Removed 1 rows containing missing values (`geom_text_repel()`).   CellStatPlot(pancreas_sub, stat.by = c(\"CellType\", \"Phase\"), plot_type = \"sankey\")  CellStatPlot(pancreas_sub, stat.by = c(\"CellType\", \"Phase\"), plot_type = \"chord\")   CellStatPlot(pancreas_sub,   stat.by = c(\"CellType\", \"Phase\"), plot_type = \"venn\",   stat_level = list(CellType = c(\"Ductal\", \"Ngn3 low EP\"), Phase = \"S\") )  pancreas_sub$Progenitor <- pancreas_sub$CellType %in% c(\"Ngn3 low EP\", \"Ngn3 high EP\") pancreas_sub$G2M <- pancreas_sub$Phase == \"G2M\" pancreas_sub$Sox9_Expressed <- pancreas_sub[[\"RNA\"]]@counts[\"Sox9\", ] > 0 pancreas_sub$Neurog3_Expressed <- pancreas_sub[[\"RNA\"]]@counts[\"Neurog3\", ] > 0 CellStatPlot(pancreas_sub, stat.by = c(\"Progenitor\", \"G2M\", \"Sox9_Expressed\", \"Neurog3_Expressed\"), plot_type = \"venn\", stat_level = \"TRUE\")  CellStatPlot(pancreas_sub, stat.by = c(\"Progenitor\", \"G2M\", \"Sox9_Expressed\", \"Neurog3_Expressed\"), plot_type = \"upset\", stat_level = \"TRUE\")  sum(pancreas_sub$Progenitor == \"FALSE\" &   pancreas_sub$G2M == \"FALSE\" &   pancreas_sub$Sox9_Expressed == \"TRUE\" &   pancreas_sub$Neurog3_Expressed == \"FALSE\") #> [1] 218"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ComBat_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"Combat_integrate — ComBat_integrate","title":"Combat_integrate — ComBat_integrate","text":"Combat_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ComBat_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Combat_integrate — ComBat_integrate","text":"","code":"ComBat_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   linear_reduction = \"pca\",   linear_reduction_dims = 50,   linear_reduction_dims_use = NULL,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   ComBat_params = list(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ComBat_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Combat_integrate — ComBat_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". linear_reduction linear reduction method name. Can one \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Dimensions calculate performing linear reduction. linear_reduction_dims_use dimensions use performing nonlinear reduction. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Conos_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"Conos_integrate — Conos_integrate","title":"Conos_integrate — Conos_integrate","text":"Conos_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Conos_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Conos_integrate — Conos_integrate","text":"","code":"Conos_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   linear_reduction = \"pca\",   linear_reduction_dims = 50,   linear_reduction_dims_use = NULL,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   buildGraph_params = list(),   num_threads = 2,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Conos_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Conos_integrate — Conos_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". linear_reduction linear reduction method name. Can one \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Dimensions calculate performing linear reduction. linear_reduction_dims_use dimensions use performing nonlinear reduction. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CreateDataFile.html","id":null,"dir":"Reference","previous_headings":"","what":"CreateDataFile — CreateDataFile","title":"CreateDataFile — CreateDataFile","text":"CreateDataFile","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CreateDataFile.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"CreateDataFile — CreateDataFile","text":"","code":"CreateDataFile(   srt,   DataFile,   name = NULL,   assays = \"RNA\",   slots = \"data\",   compression_level = 6,   overwrite = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CreateDataFile.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"CreateDataFile — CreateDataFile","text":"srt  overwrite","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CreateMetaFile.html","id":null,"dir":"Reference","previous_headings":"","what":"CreateMetaFile — CreateMetaFile","title":"CreateMetaFile — CreateMetaFile","text":"CreateMetaFile","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CreateMetaFile.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"CreateMetaFile — CreateMetaFile","text":"","code":"CreateMetaFile(   srt,   MetaFile,   name = NULL,   write_tools = FALSE,   write_misc = FALSE,   ignore_nlevel = 100,   compression_level = 6,   overwrite = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/CreateMetaFile.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"CreateMetaFile — CreateMetaFile","text":"srt  overwrite","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DefaultReduction.html","id":null,"dir":"Reference","previous_headings":"","what":"Find the default reduction name in a Seurat object. — DefaultReduction","title":"Find the default reduction name in a Seurat object. — DefaultReduction","text":"Find default reduction name Seurat object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DefaultReduction.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Find the default reduction name in a Seurat object. — DefaultReduction","text":"","code":"DefaultReduction(srt, pattern = NULL, min_dim = 2, max_distance = 0.1)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DefaultReduction.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Find the default reduction name in a Seurat object. — DefaultReduction","text":"srt Seurat object. pattern Character string containing regular expression search . min_dim Minimum dimension threshold. max_distance Maximum distance allowed match.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DefaultReduction.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Find the default reduction name in a Seurat object. — DefaultReduction","text":"Default reduction name.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DefaultReduction.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Find the default reduction name in a Seurat object. — DefaultReduction","text":"","code":"data(\"pancreas_sub\") names(pancreas_sub@reductions) #> [1] \"PCA\"  \"UMAP\" DefaultReduction(pancreas_sub) #> [1] \"UMAP\"  # Searches for matches to \"pca\" DefaultReduction(pancreas_sub, pattern = \"pca\") #> [1] \"PCA\"  # Searches for approximate matches to \"pc\" DefaultReduction(pancreas_sub, pattern = \"pc\") #> [1] \"PCA\""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DynamicHeatmap.html","id":null,"dir":"Reference","previous_headings":"","what":"Heatmap plot for dynamic features along lineages — DynamicHeatmap","title":"Heatmap plot for dynamic features along lineages — DynamicHeatmap","text":"Heatmap plot dynamic features along lineages","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DynamicHeatmap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Heatmap plot for dynamic features along lineages — DynamicHeatmap","text":"","code":"DynamicHeatmap(   srt,   lineages,   features = NULL,   num_intersections = NULL,   use_fitted = FALSE,   border = TRUE,   flip = FALSE,   min_expcells = 20,   r.sq = 0.2,   dev.expl = 0.2,   padjust = 0.05,   cell_density = 1,   cell_bins = 100,   order_by = c(\"peaktime\", \"valleytime\"),   slot = \"counts\",   assay = NULL,   exp_method = c(\"zscore\", \"raw\", \"fc\", \"log2fc\", \"log1p\"),   legend_title = NULL,   limits = NULL,   lib_normalize = identical(slot, \"counts\"),   libsize = NULL,   family = NULL,   cluster_features_by = NULL,   cluster_rows = FALSE,   cluster_row_slices = FALSE,   cluster_columns = FALSE,   cluster_column_slices = FALSE,   show_row_names = FALSE,   show_column_names = FALSE,   row_names_side = ifelse(flip, \"left\", \"right\"),   column_names_side = ifelse(flip, \"bottom\", \"top\"),   row_names_rot = 0,   column_names_rot = 90,   row_title = NULL,   column_title = NULL,   row_title_side = \"left\",   column_title_side = \"top\",   row_title_rot = 0,   column_title_rot = ifelse(flip, 90, 0),   feature_split = NULL,   feature_split_by = NULL,   n_split = NULL,   split_order = NULL,   split_method = c(\"mfuzz\", \"kmeans\", \"kmeans-peaktime\", \"hclust\", \"hclust-peaktime\"),   decreasing = FALSE,   fuzzification = NULL,   show_fuzzification = FALSE,   anno_terms = FALSE,   anno_keys = FALSE,   anno_features = FALSE,   terms_width = unit(4, \"in\"),   terms_fontsize = 8,   keys_width = unit(2, \"in\"),   keys_fontsize = c(6, 10),   features_width = unit(2, \"in\"),   features_fontsize = c(6, 10),   IDtype = \"symbol\",   species = \"Homo_sapiens\",   db_update = FALSE,   db_version = \"latest\",   db_combine = FALSE,   convert_species = FALSE,   Ensembl_version = 103,   mirror = NULL,   db = \"GO_BP\",   TERM2GENE = NULL,   TERM2NAME = NULL,   minGSSize = 10,   maxGSSize = 500,   GO_simplify = FALSE,   GO_simplify_cutoff = \"p.adjust < 0.05\",   simplify_method = \"Wang\",   simplify_similarityCutoff = 0.7,   pvalueCutoff = NULL,   padjustCutoff = 0.05,   topTerm = 5,   show_termid = FALSE,   topWord = 20,   min_word_length = 3,   exclude_words = c(\"cell\", \"cellular\", \"dna\", \"rna\", \"protein\", \"development\",     \"involved\", \"organization\", \"system\", \"regulation\", \"positive\", \"negative\",     \"response\", \"process\"),   nlabel = 20,   features_label = NULL,   label_size = 10,   label_color = \"black\",   pseudotime_label = NULL,   pseudotime_label_color = \"black\",   pseudotime_label_linetype = 2,   pseudotime_label_linewidth = 3,   heatmap_palette = \"viridis\",   heatmap_palcolor = NULL,   pseudotime_palette = \"cividis\",   pseudotime_palcolor = NULL,   feature_split_palette = \"simspec\",   feature_split_palcolor = NULL,   cell_annotation = NULL,   cell_annotation_palette = \"Paired\",   cell_annotation_palcolor = NULL,   cell_annotation_params = list(),   feature_annotation = NULL,   feature_annotation_palette = \"Dark2\",   feature_annotation_palcolor = NULL,   feature_annotation_params = list(),   separate_annotation = NULL,   separate_annotation_palette = \"Paired\",   separate_annotation_palcolor = NULL,   separate_annotation_params = if (flip) list(width = grid::unit(2, \"cm\")) else     list(height = grid::unit(2, \"cm\")),   reverse_ht = NULL,   use_raster = NULL,   raster_device = \"png\",   raster_by_magick = FALSE,   height = NULL,   width = NULL,   units = \"inch\",   seed = 11,   ht_params = list() )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DynamicHeatmap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Heatmap plot for dynamic features along lineages — DynamicHeatmap","text":"db_combine","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DynamicHeatmap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Heatmap plot for dynamic features along lineages — DynamicHeatmap","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\") #> Warning: Removed 8 rows containing missing values (`geom_path()`). #> Warning: Removed 8 rows containing missing values (`geom_path()`).  pancreas_sub <- RunDynamicFeatures(pancreas_sub, lineages = c(\"Lineage1\", \"Lineage2\"), n_candidates = 200) #> [2023-09-08 15:27:39.774287] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 225 #> Calculate dynamic features for Lineage1... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> Calculate dynamic features for Lineage2... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 15:28:11.166975] RunDynamicFeatures done #> Elapsed time:31.39 secs ht1 <- DynamicHeatmap(   srt = pancreas_sub,   lineages = \"Lineage1\",   n_split = 5,   split_method = \"kmeans-peaktime\",   cell_annotation = \"SubCellType\" ) #> 151 features from Lineage1 passed the threshold (exp_ncells>20 & r.sq>0.2 & dev.expl>0.2 & padjust<0.05):  #> Gcg,Iapp,Pyy,Chgb,Slc38a5,Rbp4,Lrpprc,Cck,2810417H13Rik,Chga... #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> The size of the heatmap will be fixed as some elements are not scalable. ht1$plot  panel_fix(ht1$plot, raster = TRUE, dpi = 50)   ht2 <- DynamicHeatmap(   srt = pancreas_sub,   lineages = \"Lineage1\",   features = c(\"Sox9\", \"Neurod2\", \"Isl1\", \"Rbp4\", \"Pyy\", \"S_score\", \"G2M_score\"),   cell_annotation = \"SubCellType\" ) #> [2023-09-08 15:28:15.617787] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 2 #> Warning: Negative values detected! #> Warning: Negative values detected! #> Calculate dynamic features for Lineage1... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 15:28:17.649245] RunDynamicFeatures done #> Elapsed time:2.03 secs #> Some features were missing in at least one lineage:  #> Isl1,Neurod2,Pyy,Rbp4,Sox9... #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht2$plot  panel_fix(ht2$plot, height = 5, width = 5, raster = TRUE, dpi = 50)   ht3 <- DynamicHeatmap(   srt = pancreas_sub,   lineages = c(\"Lineage1\", \"Lineage2\"),   n_split = 5,   split_method = \"kmeans\",   cluster_rows = TRUE,   cell_annotation = \"SubCellType\" ) #> 169 features from Lineage1,Lineage2 passed the threshold (exp_ncells>20 & r.sq>0.2 & dev.expl>0.2 & padjust<0.05):  #> Gcg,Iapp,Pyy,Chgb,Slc38a5,Rbp4,Lrpprc,Cck,2810417H13Rik,Chga... #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> The size of the heatmap will be fixed as some elements are not scalable. ht3$plot   pancreas_sub <- AnnotateFeatures(pancreas_sub, species = \"Mus_musculus\", db = c(\"TF\", \"CSPA\")) #> Species: Mus_musculus #> Loading cached db: TF version:AnimalTFDB4 nterm:2 created:2023-09-08 15:18:36.351696 #> Loading cached db: CSPA version:CSPA nterm:1 created:2023-09-08 15:18:47.073713 ht4 <- DynamicHeatmap(   srt = pancreas_sub,   lineages = c(\"Lineage1\", \"Lineage2\"),   reverse_ht = \"Lineage1\",   use_fitted = TRUE,   n_split = 6,   split_method = \"mfuzz\",   heatmap_palette = \"viridis\",   cell_annotation = c(\"SubCellType\", \"Phase\", \"G2M_score\"),   cell_annotation_palette = c(\"Paired\", \"simspec\", \"Purples\"),   separate_annotation = list(\"SubCellType\", c(\"Nnat\", \"Irx1\")),   separate_annotation_palette = c(\"Paired\", \"Set1\"),   separate_annotation_params = list(height = grid::unit(2, \"cm\")),   feature_annotation = c(\"TF\", \"CSPA\"),   feature_annotation_palcolor = list(c(\"gold\", \"steelblue\"), c(\"forestgreen\")),   pseudotime_label = 25,   pseudotime_label_color = \"red\" ) #> 169 features from Lineage1,Lineage2 passed the threshold (exp_ncells>20 & r.sq>0.2 & dev.expl>0.2 & padjust<0.05):  #> Gcg,Iapp,Pyy,Chgb,Slc38a5,Rbp4,Lrpprc,Cck,2810417H13Rik,Chga... #> Warning: no DISPLAY variable so Tk is not available #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> The size of the heatmap will be fixed as some elements are not scalable. #> Picking joint bandwidth of 20.1 #> Picking joint bandwidth of 18.6 #> Picking joint bandwidth of 20.1 #> Picking joint bandwidth of 18.6 ht4$plot   ht5 <- DynamicHeatmap(   srt = pancreas_sub,   lineages = c(\"Lineage1\", \"Lineage2\"),   reverse_ht = \"Lineage1\",   use_fitted = TRUE,   n_split = 6,   split_method = \"mfuzz\",   heatmap_palette = \"viridis\",   cell_annotation = c(\"SubCellType\", \"Phase\", \"G2M_score\"),   cell_annotation_palette = c(\"Paired\", \"simspec\", \"Purples\"),   separate_annotation = list(\"SubCellType\", c(\"Nnat\", \"Irx1\")),   separate_annotation_palette = c(\"Paired\", \"Set1\"),   separate_annotation_params = list(width = grid::unit(2, \"cm\")),   feature_annotation = c(\"TF\", \"CSPA\"),   feature_annotation_palcolor = list(c(\"gold\", \"steelblue\"), c(\"forestgreen\")),   pseudotime_label = 25,   pseudotime_label_color = \"red\",   flip = TRUE, column_title_rot = 45 ) #> 169 features from Lineage1,Lineage2 passed the threshold (exp_ncells>20 & r.sq>0.2 & dev.expl>0.2 & padjust<0.05):  #> Gcg,Iapp,Pyy,Chgb,Slc38a5,Rbp4,Lrpprc,Cck,2810417H13Rik,Chga... #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> The size of the heatmap will be fixed as some elements are not scalable. #> Picking joint bandwidth of 20.1 #> Picking joint bandwidth of 18.6 #> Picking joint bandwidth of 20.1 #> Picking joint bandwidth of 18.6 ht5$plot   ht6 <- DynamicHeatmap(   srt = pancreas_sub,   lineages = c(\"Lineage1\", \"Lineage2\"),   reverse_ht = \"Lineage1\",   cell_annotation = \"SubCellType\",   n_split = 5, split_method = \"mfuzz\",   species = \"Mus_musculus\", db = \"GO_BP\",   anno_terms = TRUE, anno_keys = TRUE, anno_features = TRUE ) #> 169 features from Lineage1,Lineage2 passed the threshold (exp_ncells>20 & r.sq>0.2 & dev.expl>0.2 & padjust<0.05):  #> Gcg,Iapp,Pyy,Chgb,Slc38a5,Rbp4,Lrpprc,Cck,2810417H13Rik,Chga... #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> [2023-09-08 15:28:48.751482] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Preparing database: GO_BP #> Convert ID types for the database: GO_BP #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 22192 genes mapped with entrez_id #> ============================== #> 22192 genes mapped #> 6372 genes unmapped #> ============================== #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 15:31:42.619675] Enrichment done #> Elapsed time:2.9 mins #> The size of the heatmap will be fixed as some elements are not scalable. ht6$plot"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DynamicPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot for dynamic features along lineages. — DynamicPlot","title":"Plot for dynamic features along lineages. — DynamicPlot","text":"Plot dynamic features along lineages.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DynamicPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot for dynamic features along lineages. — DynamicPlot","text":"","code":"DynamicPlot(   srt,   features,   lineages,   group.by = NULL,   cells = NULL,   slot = \"counts\",   assay = NULL,   family = NULL,   exp_method = c(\"log1p\", \"raw\", \"zscore\", \"fc\", \"log2fc\"),   lib_normalize = identical(slot, \"counts\"),   libsize = NULL,   compare_lineages = TRUE,   compare_features = FALSE,   add_line = TRUE,   add_interval = TRUE,   line.size = 1,   line_palette = \"Dark2\",   line_palcolor = NULL,   add_point = TRUE,   pt.size = 1,   point_palette = \"Paired\",   point_palcolor = NULL,   add_rug = TRUE,   flip = FALSE,   reverse = FALSE,   x_order = c(\"value\", \"rank\"),   aspect.ratio = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DynamicPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot for dynamic features along lineages. — DynamicPlot","text":"seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/DynamicPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot for dynamic features along lineages. — DynamicPlot","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\") #> Warning: Removed 8 rows containing missing values (`geom_path()`). #> Warning: Removed 8 rows containing missing values (`geom_path()`).  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", lineages = paste0(\"Lineage\", 1:3), lineages_span = 0.1)  DynamicPlot(   srt = pancreas_sub,   lineages = \"Lineage1\",   features = c(\"Nnat\", \"Irx1\", \"G2M_score\"),   group.by = \"SubCellType\",   compare_features = TRUE ) #> [2023-09-08 15:33:29.172019] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 3 #> Warning: Negative values detected! #> Calculate dynamic features for Lineage1... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 15:33:31.461369] RunDynamicFeatures done #> Elapsed time:2.29 secs  DynamicPlot(   srt = pancreas_sub,   lineages = c(\"Lineage1\", \"Lineage2\"),   features = c(\"Nnat\", \"Irx1\", \"G2M_score\"),   group.by = \"SubCellType\",   compare_lineages = TRUE,   compare_features = FALSE ) #> [2023-09-08 15:33:32.223114] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 3 #> Warning: Negative values detected! #> Calculate dynamic features for Lineage1... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 15:33:34.270904] RunDynamicFeatures done #> Elapsed time:2.05 secs #> [2023-09-08 15:33:34.273126] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 3 #> Warning: Negative values detected! #> Calculate dynamic features for Lineage2... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 15:33:36.251247] RunDynamicFeatures done #> Elapsed time:1.98 secs  DynamicPlot(   srt = pancreas_sub,   lineages = c(\"Lineage1\", \"Lineage2\"),   features = c(\"Nnat\", \"Irx1\", \"G2M_score\"),   group.by = \"SubCellType\",   compare_lineages = FALSE,   compare_features = FALSE ) #> [2023-09-08 15:33:37.955215] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 3 #> Warning: Negative values detected! #> Calculate dynamic features for Lineage1... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 15:33:40.0427] RunDynamicFeatures done #> Elapsed time:2.09 secs #> [2023-09-08 15:33:40.044945] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 3 #> Warning: Negative values detected! #> Calculate dynamic features for Lineage2... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 15:33:42.105789] RunDynamicFeatures done #> Elapsed time:2.06 secs"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/EnrichmentPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"EnrichmentPlot — EnrichmentPlot","title":"EnrichmentPlot — EnrichmentPlot","text":"EnrichmentPlot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/EnrichmentPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"EnrichmentPlot — EnrichmentPlot","text":"","code":"EnrichmentPlot(   srt,   db = \"GO_BP\",   group_by = NULL,   test.use = \"wilcox\",   res = NULL,   plot_type = c(\"bar\", \"dot\", \"lollipop\", \"network\", \"enrichmap\", \"wordcloud\",     \"comparison\"),   group_use = NULL,   id_use = NULL,   pvalueCutoff = NULL,   padjustCutoff = 0.05,   compare_only_sig = FALSE,   topTerm = ifelse(plot_type == \"enrichmap\", 100, 6),   topWord = 100,   word_type = c(\"term\", \"feature\"),   word_size = c(2, 8),   min_word_length = 3,   network_layout = \"fr\",   network_labelsize = 5,   network_blendmode = \"blend\",   network_layoutadjust = TRUE,   network_adjscale = 60,   network_adjiter = 100,   enrichmap_layout = \"fr\",   enrichmap_cluster = \"fast_greedy\",   enrichmap_label = c(\"term\", \"feature\"),   enrichmap_labelsize = 5,   enrlichmap_nlabel = 4,   enrichmap_show_keyword = FALSE,   enrichmap_mark = c(\"ellipse\", \"hull\"),   enrichmap_expand = c(0.5, 0.5),   exclude_words = c(\"cell\", \"cellular\", \"dna\", \"rna\", \"protein\", \"development\",     \"involved\", \"organization\", \"system\", \"regulation\", \"positive\", \"negative\",     \"response\", \"process\"),   character_width = 50,   lineheight = 0.7,   palette = \"Spectral\",   palcolor = NULL,   aspect.ratio = 1,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/EnrichmentPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"EnrichmentPlot — EnrichmentPlot","text":"plot_type Type plot visualized. pvalueCutoff pvalueCutoff padjustCutoff padjustCutoff topTerm Number terms plot plot_type=\"bar\" plot_type=\"lollipop\". topWord Number features plot plot_type=\"wordcloud\". palette palette combine combine nrow nrow ncol ncol byrow byrow seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/EnrichmentPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"EnrichmentPlot — EnrichmentPlot","text":"","code":"library(dplyr) data(\"pancreas_sub\") pancreas_sub <- RunDEtest(pancreas_sub, group_by = \"CellType\") #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. #> [2023-09-08 15:33:50.126961] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 5 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 15:33:54.507372] DEtest done #> Elapsed time:4.38 secs pancreas_sub <- RunEnrichment(srt = pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", species = \"Mus_musculus\") #> [2023-09-08 15:33:54.510738] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 15:30:55.528871 #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 15:34:55.159022] Enrichment done #> Elapsed time:1.01 mins EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Endocrine\", plot_type = \"bar\")  EnrichmentPlot(pancreas_sub,   db = \"GO_BP\", group_by = \"CellType\", group_use = c(\"Ductal\", \"Endocrine\"),   plot_type = \"bar\", character_width = 30,   theme_use = ggplot2::theme_classic, theme_args = list(base_size = 10) )  EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", topTerm = 3, plot_type = \"comparison\") #> Warning: Vectorized input to `element_text()` is not officially supported. #> ℹ Results may be unexpected or may change in future versions of ggplot2.  EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", topTerm = 3, plot_type = \"comparison\", compare_only_sig = TRUE) #> Warning: Vectorized input to `element_text()` is not officially supported. #> ℹ Results may be unexpected or may change in future versions of ggplot2.    EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = c(\"Ductal\", \"Endocrine\"), plot_type = \"bar\", ncol = 1)  EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = c(\"Ductal\", \"Endocrine\"), plot_type = \"dot\", ncol = 1, palette = \"GdRd\")  EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = c(\"Ductal\", \"Endocrine\"), plot_type = \"lollipop\", ncol = 1, palette = \"GdRd\")  EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = c(\"Ductal\", \"Endocrine\"), plot_type = \"wordcloud\") #> Some words could not fit on page. They have been removed. #> Some words could not fit on page. They have been removed.  EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = c(\"Ductal\", \"Endocrine\"), plot_type = \"wordcloud\", word_type = \"feature\") #> Some words could not fit on page. They have been removed. #> Some words could not fit on page. They have been removed.  EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = c(\"Ductal\", \"Endocrine\"), plot_type = \"comparison\") #> Warning: Vectorized input to `element_text()` is not officially supported. #> ℹ Results may be unexpected or may change in future versions of ggplot2.   EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\", plot_type = \"network\")  EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\", plot_type = \"network\", id_use = c(\"GO:0050678\", \"GO:0035270\", \"GO:0090276\", \"GO:0030073\"))  EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\", plot_type = \"network\", network_layoutadjust = FALSE)  EnrichmentPlot(pancreas_sub,   db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\", plot_type = \"network\",   topTerm = 4, network_blendmode = \"average\",   theme_use = \"theme_blank\", theme_args = list(add_coord = FALSE) ) %>% panel_fix(height = 5)   EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\", plot_type = \"enrichmap\")  EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\", plot_type = \"enrichmap\", enrichmap_expand = c(2, 1))  EnrichmentPlot(pancreas_sub,   db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\", plot_type = \"enrichmap\",   enrichmap_show_keyword = TRUE, character_width = 10 )  EnrichmentPlot(pancreas_sub,   db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\", plot_type = \"enrichmap\",   topTerm = 200, enrichmap_mark = \"hull\", enrichmap_label = \"feature\", enrlichmap_nlabel = 3, character_width = 10,   theme_use = \"theme_blank\", theme_args = list(add_coord = FALSE) ) %>% panel_fix(height = 4)   pancreas_sub <- RunEnrichment(srt = pancreas_sub, db = c(\"MP\", \"DO\"), group_by = \"CellType\", convert_species = TRUE, species = \"Mus_musculus\") #> [2023-09-08 15:35:48.360843] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Preparing database: MP #> Preparing database: DO #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 15:36:24.042117] Enrichment done #> Elapsed time:35.68 secs EnrichmentPlot(pancreas_sub, db = c(\"MP\", \"DO\"), group_by = \"CellType\", group_use = \"Endocrine\", ncol = 1)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureCorPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"Features correlation plot — FeatureCorPlot","title":"Features correlation plot — FeatureCorPlot","text":"Features correlation plot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureCorPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Features correlation plot — FeatureCorPlot","text":"","code":"FeatureCorPlot(   srt,   features,   group.by = NULL,   split.by = NULL,   cells = NULL,   slot = \"data\",   assay = NULL,   cor_method = \"pearson\",   adjust = 1,   margin = 1,   reverse = FALSE,   add_equation = FALSE,   add_r2 = TRUE,   add_pvalue = TRUE,   add_smooth = TRUE,   palette = \"Paired\",   palcolor = NULL,   bg_color = \"grey80\",   pt.size = NULL,   pt.alpha = 1,   cells.highlight = NULL,   cols.highlight = \"black\",   sizes.highlight = 1,   alpha.highlight = 1,   stroke.highlight = 0.5,   calculate_coexp = FALSE,   raster = NULL,   raster.dpi = c(512, 512),   aspect.ratio = 1,   title = NULL,   subtitle = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE,   force = FALSE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureCorPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Features correlation plot — FeatureCorPlot","text":"seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureCorPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Features correlation plot — FeatureCorPlot","text":"","code":"data(\"pancreas_sub\") FeatureCorPlot(pancreas_sub, features = c(\"Ghrl\", \"Gcg\", \"Ins1\", \"Ins2\"), group.by = \"SubCellType\") #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data."},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureDimPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"Visualize feature values on a 2-dimensional reduction plot — FeatureDimPlot","title":"Visualize feature values on a 2-dimensional reduction plot — FeatureDimPlot","text":"Plotting cell points reduced 2D plane coloring according values features.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureDimPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Visualize feature values on a 2-dimensional reduction plot — FeatureDimPlot","text":"","code":"FeatureDimPlot(   srt,   features,   reduction = NULL,   dims = c(1, 2),   split.by = NULL,   cells = NULL,   slot = \"data\",   assay = NULL,   show_stat = TRUE,   palette = ifelse(isTRUE(compare_features), \"Set1\", \"Spectral\"),   palcolor = NULL,   pt.size = NULL,   pt.alpha = 1,   bg_cutoff = 0,   bg_color = \"grey80\",   keep_scale = NULL,   lower_quantile = 0,   upper_quantile = 0.99,   lower_cutoff = NULL,   upper_cutoff = NULL,   add_density = FALSE,   density_color = \"grey80\",   density_filled = FALSE,   density_filled_palette = \"Greys\",   density_filled_palcolor = NULL,   cells.highlight = NULL,   cols.highlight = \"black\",   sizes.highlight = 1,   alpha.highlight = 1,   stroke.highlight = 0.5,   calculate_coexp = FALSE,   compare_features = FALSE,   color_blend_mode = c(\"blend\", \"average\", \"screen\", \"multiply\"),   label = FALSE,   label.size = 4,   label.fg = \"white\",   label.bg = \"black\",   label.bg.r = 0.1,   label_insitu = FALSE,   label_repel = FALSE,   label_repulsion = 20,   label_point_size = 1,   label_point_color = \"black\",   label_segment_color = \"black\",   lineages = NULL,   lineages_weights = NULL,   lineages_trim = c(0.01, 0.99),   lineages_span = 0.75,   lineages_palette = \"Dark2\",   lineages_palcolor = NULL,   lineages_arrow = arrow(length = unit(0.1, \"inches\")),   lineages_linewidth = 1,   lineages_line_bg = \"white\",   lineages_line_bg_stroke = 0.5,   lineages_whiskers = FALSE,   lineages_whiskers_linewidth = 0.5,   lineages_whiskers_alpha = 0.5,   graph = NULL,   edge_size = c(0.05, 0.5),   edge_alpha = 0.1,   edge_color = \"grey40\",   hex = FALSE,   hex.linewidth = 0.5,   hex.color = \"grey90\",   hex.bins = 50,   hex.binwidth = NULL,   raster = NULL,   raster.dpi = c(512, 512),   aspect.ratio = 1,   title = NULL,   subtitle = NULL,   xlab = NULL,   ylab = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE,   force = FALSE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureDimPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Visualize feature values on a 2-dimensional reduction plot — FeatureDimPlot","text":"srt Seurat object. features Vector features plot. Features can gene names Assay names numeric columns meta.data. reduction dimensionality reduction use. specified, use reduction returned DefaultReduction. dims Dimensions plot, must two-length numeric vector specifying x- y-dimensions. split.Name column meta.data split plot . cells Subset cells plot. slot slot pull expression data ? Default data. assay assay pull expression data . NULL, use assay returned DefaultAssay. show_stat Whether show statistical information plot. palette Name color palette name collected SCP. palcolor Custom colors used create color palette. pt.size Point size plotting. pt.alpha Point transparency. bg_cutoff Background cutoff. Points feature values lower cutoff considered background colored bg_color. bg_color Color value background points. keep_scale handle color scale across multiple plots. Options : NULL (scaling): individual plot scaled maximum expression value feature condition provided 'split.'. aware setting NULL result color scales comparable plots. \"feature\" (default; row/feature scaling): plots individual feature scaled maximum expression feature across conditions provided 'split.'. \"\" (universal scaling): plots features conditions scaled maximum expression value feature highest overall expression. lower_quantile, upper_quantile, lower_cutoff, upper_cutoff Vector minimum maximum cutoff values quantile values feature. add_density Whether add density layer plot. density_color Color density contours lines. density_filled Whether add filled contour bands instead contour lines. density_filled_palette Color palette used fill contour bands. density_filled_palcolor Custom colors used fill contour bands. cells.highlight vector cell names highlight. cols.highlight Color used highlight cells. sizes.highlight Size highlighted cells. alpha.highlight Transparency highlighted cell points. stroke.highlight Border width highlighted cell points. calculate_coexp Whether calculate co-expression value (geometric mean) features. compare_features Whether show values multiple features single plot. color_blend_mode Blend mode use compare_features = TRUE label Whether feature name labeled center location cells wieh high expression. label.size Size labels. label.fg Foreground color label. label.bg Background color label. label.bg.r Background ratio label. label_insitu Whether labels feature names instead numbers. Valid compare_features = TRUE. label_repel Logical value indicating whether label repel away center location. label_repulsion Force repulsion overlapping text labels. Defaults 20. label_point_size Size center points. label_point_color Color center points label_segment_color Color line segment labels. lineages Lineages/pseudotime add plot. specified, curves fitted using loess method. lineages_trim Trim leading trailing data lineages. lineages_span parameter α controls degree smoothing loess method. lineages_palette Color palette used lineages. lineages_palcolor Custom colors used lineages. lineages_arrow Set arrows lineages. See arrow. lineages_linewidth Width fitted curve lines lineages. lineages_line_bg Background color curve lines lineages. lineages_line_bg_stroke Border width curve lines background. lineages_whiskers Whether add whiskers lineages. lineages_whiskers_linewidth Width whiskers lineages. lineages_whiskers_alpha Transparency whiskers lineages. graph Specify graph name add edges cell neighbors plot. edge_size Size edges. edge_alpha Transparency edges. edge_color Color edges. hex Whether chane plot type point hexagonal bin. hex.linewidth Border width hexagonal bins. hex.color Border color hexagonal bins. hex.bins Number hexagonal bins. hex.binwidth Hexagonal bin width. raster Convert points raster format, default NULL automatically rasterizes plotting 100,000 cells raster.dpi Pixel resolution rasterized plots, passed geom_scattermore(). Default c(512, 512). aspect.ratio Aspect ratio panel. title text title. subtitle text subtitle plot displayed title. xlab x-axis label. ylab y-axis label. legend.position position legends (\"none\", \"left\", \"right\", \"bottom\", \"top\"). legend.direction Layout items legends (\"horizontal\" \"vertical\") theme_use Theme used. Can character string theme function. example, \"theme_blank\" ggplot2::theme_classic. theme_args arguments passed theme_use. combine Combine plots single patchwork object. FALSE, return list ggplot objects. nrow Number rows combined plot. ncol Number columns combined plot. byrow Logical value indicating plots arrange row (default) column. force Whether force drawing regardless number features greater 100. seed Random seed set reproducibility","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureDimPlot.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Visualize feature values on a 2-dimensional reduction plot — FeatureDimPlot","text":"single ggplot object combine = TRUE; otherwise, list ggplot objects","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureDimPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Visualize feature values on a 2-dimensional reduction plot — FeatureDimPlot","text":"","code":"library(dplyr) data(\"pancreas_sub\") pancreas_sub <- Standard_SCP(pancreas_sub) #> [2023-09-08 15:36:47.022371] Start Standard_SCP #> [2023-09-08 15:36:47.022642] Checking srtList... ... #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-08 15:36:48.399071] Finished checking. #> [2023-09-08 15:36:48.399311] Perform ScaleData on the data... #> [2023-09-08 15:36:48.540253] Perform linear dimension reduction (pca) on the data... #> [2023-09-08 15:36:49.471535] Perform FindClusters (louvain) on the data... #> [2023-09-08 15:36:49.605548] Reorder clusters... #> [2023-09-08 15:36:49.864943] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-08 15:36:59.746842] Standard_SCP done #> Elapsed time: 12.72 secs  FeatureDimPlot(pancreas_sub, features = \"G2M_score\", reduction = \"UMAP\")  FeatureDimPlot(pancreas_sub, features = \"G2M_score\", reduction = \"UMAP\", bg_cutoff = -Inf)  FeatureDimPlot(pancreas_sub, features = \"G2M_score\", reduction = \"UMAP\", theme_use = \"theme_blank\", show_stat = FALSE)  FeatureDimPlot(pancreas_sub, features = \"G2M_score\", reduction = \"UMAP\", theme_use = ggplot2::theme_classic, theme_args = list(base_size = 16))  FeatureDimPlot(pancreas_sub, features = \"G2M_score\", reduction = \"UMAP\") %>% panel_fix(height = 2, raster = TRUE, dpi = 30)   FeatureDimPlot(pancreas_sub, features = c(\"StandardPC_1\", \"StandardPC_2\"), reduction = \"UMAP\", bg_cutoff = -Inf)   # Label and highlight cell points FeatureDimPlot(pancreas_sub,   features = \"Rbp4\", reduction = \"UMAP\", label = TRUE,   cells.highlight = colnames(pancreas_sub)[pancreas_sub$SubCellType == \"Delta\"] )  FeatureDimPlot(pancreas_sub,   features = \"Rbp4\", split.by = \"Phase\", reduction = \"UMAP\", show_stat = FALSE,   cells.highlight = TRUE, theme_use = \"theme_blank\", legend.position = \"none\" )   # Add a density layer FeatureDimPlot(pancreas_sub, features = \"Rbp4\", reduction = \"UMAP\", label = TRUE, add_density = TRUE)  FeatureDimPlot(pancreas_sub, features = \"Rbp4\", reduction = \"UMAP\", label = TRUE, add_density = TRUE, density_filled = TRUE) #> Warning: Removed 396 rows containing missing values (`geom_raster()`).   # Chane the plot type from point to the hexagonal bin FeatureDimPlot(pancreas_sub, features = \"Rbp4\", reduction = \"UMAP\", hex = TRUE) #> Warning: Removed 4 rows containing missing values (`geom_hex()`).  FeatureDimPlot(pancreas_sub, features = \"Rbp4\", reduction = \"UMAP\", hex = TRUE, hex.bins = 20) #> Warning: Removed 3 rows containing missing values (`geom_hex()`). #> Warning: Removed 5 rows containing missing values (`geom_hex()`).   # Show lineages on the plot based on the pseudotime pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\") #> Warning: Removed 8 rows containing missing values (`geom_path()`). #> Warning: Removed 8 rows containing missing values (`geom_path()`).  FeatureDimPlot(pancreas_sub, features = \"Lineage3\", reduction = \"UMAP\", lineages = \"Lineage3\")  FeatureDimPlot(pancreas_sub, features = \"Lineage3\", reduction = \"UMAP\", lineages = \"Lineage3\", lineages_whiskers = TRUE)  FeatureDimPlot(pancreas_sub, features = \"Lineage3\", reduction = \"UMAP\", lineages = \"Lineage3\", lineages_span = 0.1)   FeatureDimPlot(pancreas_sub, c(\"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\"), reduction = \"UMAP\")  FeatureDimPlot(pancreas_sub, c(\"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\"), reduction = \"UMAP\", lower_quantile = 0, upper_quantile = 0.8)  FeatureDimPlot(pancreas_sub, c(\"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\"), reduction = \"UMAP\", lower_cutoff = 1, upper_cutoff = 4)  FeatureDimPlot(pancreas_sub, c(\"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\"), reduction = \"UMAP\", bg_cutoff = 2, lower_cutoff = 2, upper_cutoff = 4)  FeatureDimPlot(pancreas_sub, c(\"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\"), reduction = \"UMAP\", keep_scale = \"all\")  FeatureDimPlot(pancreas_sub, c(\"Sst\", \"Ghrl\"), split.by = \"Phase\", reduction = \"UMAP\", keep_scale = \"feature\")   FeatureDimPlot(pancreas_sub,   features = c(\"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\"), pt.size = 1,   compare_features = TRUE, color_blend_mode = \"blend\",   label = TRUE, label_insitu = TRUE )  FeatureDimPlot(pancreas_sub,   features = c(\"S_score\", \"G2M_score\"), pt.size = 1, palcolor = c(\"red\", \"green\"),   compare_features = TRUE, color_blend_mode = \"blend\", title = \"blend\",   label = TRUE, label_insitu = TRUE )  FeatureDimPlot(pancreas_sub,   features = c(\"S_score\", \"G2M_score\"), pt.size = 1, palcolor = c(\"red\", \"green\"),   compare_features = TRUE, color_blend_mode = \"average\", title = \"average\",   label = TRUE, label_insitu = TRUE )  FeatureDimPlot(pancreas_sub,   features = c(\"S_score\", \"G2M_score\"), pt.size = 1, palcolor = c(\"red\", \"green\"),   compare_features = TRUE, color_blend_mode = \"screen\", title = \"screen\",   label = TRUE, label_insitu = TRUE )  FeatureDimPlot(pancreas_sub,   features = c(\"S_score\", \"G2M_score\"), pt.size = 1, palcolor = c(\"red\", \"green\"),   compare_features = TRUE, color_blend_mode = \"multiply\", title = \"multiply\",   label = TRUE, label_insitu = TRUE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureDimPlot3D.html","id":null,"dir":"Reference","previous_headings":"","what":"3D-Dimensional reduction plot for gene expression visualization. — FeatureDimPlot3D","title":"3D-Dimensional reduction plot for gene expression visualization. — FeatureDimPlot3D","text":"Plotting cell points reduced 3D space coloring according gene expression cells.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureDimPlot3D.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"3D-Dimensional reduction plot for gene expression visualization. — FeatureDimPlot3D","text":"","code":"FeatureDimPlot3D(   srt,   features = NULL,   reduction = NULL,   dims = c(1, 2, 3),   axis_labs = NULL,   split.by = NULL,   slot = \"data\",   assay = NULL,   calculate_coexp = FALSE,   pt.size = 1.5,   cells.highlight = NULL,   cols.highlight = \"black\",   shape.highlight = \"circle-open\",   sizes.highlight = 2,   width = NULL,   height = NULL,   save = NULL,   force = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureDimPlot3D.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"3D-Dimensional reduction plot for gene expression visualization. — FeatureDimPlot3D","text":"srt Seurat object. features Vector features plot. Features can gene names Assay names numeric columns meta.data. reduction dimensionality reduction use. specified, use reduction returned DefaultReduction. dims Dimensions plot, must two-length numeric vector specifying x- y-dimensions. split.Name column meta.data split plot . slot slot pull expression data ? Default data. assay assay pull expression data . NULL, use assay returned DefaultAssay. calculate_coexp Whether calculate co-expression value (geometric mean) features. pt.size Point size plotting. cells.highlight vector cell names highlight. cols.highlight Color used highlight cells. shape.highlight Shape cell highlight. See scattergl-marker-symbol sizes.highlight Size highlighted cells. width Width pixels, defaults automatic sizing. height Height pixels, defaults automatic sizing. force Whether force drawing regardless number features greater 100.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureDimPlot3D.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"3D-Dimensional reduction plot for gene expression visualization. — FeatureDimPlot3D","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- Standard_SCP(pancreas_sub) #> [2023-09-08 15:37:32.152206] Start Standard_SCP #> [2023-09-08 15:37:32.152457] Checking srtList... ... #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-08 15:37:33.418763] Finished checking. #> [2023-09-08 15:37:33.419] Perform ScaleData on the data... #> [2023-09-08 15:37:33.561171] Perform linear dimension reduction (pca) on the data... #> [2023-09-08 15:37:34.487077] Perform FindClusters (louvain) on the data... #> [2023-09-08 15:37:34.620095] Reorder clusters... #> [2023-09-08 15:37:34.851931] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-08 15:37:45.010524] Standard_SCP done #> Elapsed time: 12.86 secs  FeatureDimPlot3D(pancreas_sub, features = c(\"Ghrl\", \"Ins1\", \"Gcg\", \"Ins2\"), reduction = \"StandardpcaUMAP3D\")  {\"x\":{\"visdat\":{\"8ff14c6d0ee1\":[\"function () \",\"plotlyVisDat\"],\"8ff12930ef0d\":[\"function () \",\"data\"]},\"cur_data\":\"8ff12930ef0d\",\"attrs\":{\"8ff12930ef0d\":{\"alpha_stroke\":1,\"sizes\":[10,100],\"spans\":[1,20],\"x\":[-5.6886261636056004,3.4359456366263332,-5.3666280442513523,3.7621866530142727,-5.872935169342905,-6.1831148797310886,2.2261005705557766,2.4181076353751125,3.398643142577261,4.2351423567496242,3.9708577460013332,2.1073290175162258,2.9162017172537746,3.7651683157645168,-5.3833645516671238,-5.1829670602120457,3.8295599287711086,1.5391832655631006,-5.4914945298470554,3.8172012633048,2.793688661452383,2.0342673128806057,3.9640418356619778,2.4987086123190823,3.6219369238577785,0.99059940039739014,-5.4327911073006687,4.2884904211722317,2.9429088896475735,4.0921779936514797,-5.3985317879952488,-2.0335786277092991,4.3770376509390774,4.0545412367545071,4.1104151076041164,3.2023011511527004,0.38131273448094727,-5.9616588288582859,2.6003462141714992,2.5475879973135891,3.3667727774344387,-5.5798309975899754,3.030913478728384,3.847624904509634,4.0858694380484524,3.9018045729361477,4.1920338934622707,-2.6897437506951389,4.0187827414236965,-4.206093185547739,3.6923328703604641,2.1945270365439358,3.9449616736136379,3.8722015684805813,2.2298027342520657,-4.7807520562447605,-2.6104623013772068,4.3668023413382473,3.7688914602957668,3.2212067908011379,3.7928448981009426,-0.54905425846949218,4.0713917082510891,-5.9773162537850437,-5.0173948937691746,3.3210197752676907,3.708708888884634,4.2753692930899563,-5.7239893609322605,1.6613651579581201,4.114228851195425,-1.8538612061776221,3.6917172735892239,4.8378187483511867,-4.9453610116280613,-0.83209495336189865,3.3578559225760403,-5.2147434884347019,-5.35839688122645,4.3068496054373684,4.8751646345816555,4.1845375364981594,4.1118885344229641,4.1085463827811184,4.2631312674246731,-5.3330701524056492,4.57820618807897,2.0549773043356838,3.2613741224966946,-5.9224170380868015,3.6750012701712551,-5.5498193436898289,2.2872663801871242,3.8686019247733059,3.7571336096487942,0.098260707255452884,3.8851114577017727,-5.919978969696909,-5.3041442567147312,4.1570006674490871,3.8757530516348782,3.4961906737051907,-6.1821497613228855,2.6465786761008205,-5.32397305310145,-2.8081093961037693,1.0950797861777246,2.9624165362082424,-5.6242302590645847,-5.2006577187813816,4.4909569090567532,-5.503446930054575,-5.8125513726510105,-4.4374476605691013,4.3201953238211575,2.3921674555502834,4.0995417898856106,-5.3745692902840672,-6.37182461560145,3.8413716620169582,2.2736622160635891,-5.2250226670540867,3.4526020353995266,-5.3119543725289402,2.6745559042654934,3.217281944151968,-6.477021091584116,-5.1964877778328953,3.3088890379630032,-6.1476582223214207,-5.6930960351265965,3.70802796542272,3.3083731001578274,-5.8063710862435398,4.3496514624319973,3.6548677748404446,3.8021856611929836,-5.7689450913704929,2.4691897696219387,-5.2924097710885105,-5.8526018792428074,-5.672373645905405,-5.6623295480050144,4.1558662718497219,-4.8945668870247898,3.2827888792715969,-5.5241459542550144,4.3123055762015285,3.2845560377798977,-1.624504380825907,-5.9470547372139988,3.8091121977530422,-5.6904171639718113,3.6057592695914211,-4.3515030080117283,-5.7528332406319675,3.2486630743704739,4.1241923636160793,2.8195403879843655,4.6197644537650051,3.9772955244742336,3.7943307226859035,2.5913709467612209,3.9710031813345852,3.8011189764700832,3.296350604888052,4.3865267103873196,3.8908783262930813,3.3374468153677883,-4.4706221753396092,3.2570606535635891,3.8364697760306301,4.2860552138052883,2.4976972407065334,-6.2177075082100925,4.953642970915884,3.0680788820944729,-5.4631804162301121,-1.3357294732369482,4.1042176550589504,4.063956863280386,3.5586420363150539,4.2045790022574367,-5.9334925347603855,-5.5754865342415867,-2.4768989020623264,-5.7706888848580418,-1.037919633988291,4.0581241911612453,2.435252553816885,2.3759418791495266,2.7511712378226223,3.2716742819510403,-6.1108916932381687,2.4087811773978176,4.309628135558218,4.9434748953543606,4.0921040838919582,-5.7354863816536961,4.7850753134451809,1.5081285303793848,3.1360293692313137,-0.72175849691405891,3.5372740095816555,2.3448590105734768,3.9707208937369289,2.9682651823721828,0.64330697714909912,3.1923199957571926,3.8910366362296047,3.86671937167272,-3.0602270299233494,-5.4041060143746433,-5.8222106629647312,-5.4442418748177586,-1.4495434695519507,-5.7719706231392918,4.0788031882010403,2.8299533194266262,3.8279835051260891,2.2619544333182278,-4.2111350232399998,-6.4100536042489109,4.3074675863943996,4.2125812834464016,3.278535491820425,4.8723198240958157,3.7191401785574856,0.23066902815923096,4.1810804671011867,2.9881712263785305,2.3492690390311184,-5.6914991074837742,4.1613327330313625,2.7096418207846584,1.9107128447256982,4.1415544813834133,3.9326931303702297,-6.0249489480294285,-5.4014824563302097,4.0656186407767239,3.9642750090323391,0.70927036463841797,4.6895667380057278,4.2933746641837063,-5.2602528268136082,4.1233750647269192,2.7530199354849758,-5.8193434411324558,-6.1109894448556004,-1.0728792184628546,-5.458196514252573,3.6278320616446438,-5.9495462113656101,3.2712379759512844,2.9602612322531643,2.2454253500662746,-5.9845112496651707,-3.1521202260293064,3.6474958723746242,-6.0393150979317722,-5.7518080407418308,-5.7148393327035008,-2.0283108884133396,3.2670952147208157,-5.9730290108956394,-6.0209578210152683,2.3493365114890041,-5.3508690530098972,2.1166299647055569,-5.8466519051827488,-5.1293190652169285,4.5781961744986477,-5.8394626313485203,-6.0309356385506687,4.4323755568228664,-5.3975976640023289,3.7564607924185696,-5.6858676606453953,-5.7005304032601414,2.5634144610129299,4.5063401526175442,4.1718541449271145,4.540925628539175,-4.5778638058938084,-4.364221208695322,3.5970946615897121,2.1566151446066799,-6.0058206254281101,3.7745324438773098,3.1083837813101711,1.3716536825858057,-5.9610012704171238,3.0642060106955471,-5.7542136842049656,3.4612490004263821,3.6092368429861965,-5.5800021821297703,3.1013876265250149,-6.3277510339058933,2.3361758059225979,2.6442028349600735,3.6401864355765285,-5.8642514878548679,-6.03074156582728,4.1436320608817043,-5.7518442803658543,3.8260375326834621,1.272380716200918,-5.3374651604928074,-5.1970995599068699,3.797756797667593,3.2268775767050686,-5.1002482110299168,1.0198576515875757,0.31130755602940918,0.48062289416417481,4.2756167715750637,-5.9069336587227879,3.9822994536124172,2.7996984785757961,3.729941970702261,4.0360781019888821,4.5250836676321926,-5.6807621651925144,-5.7964295083321629,-6.2621782952584324,4.3417240446768703,3.8146392172537746,-2.3665174180306492,2.9567765063010158,3.9070087736807766,-5.3787101441659031,4.0860859221182766,-5.9691227608956394,3.6438437765799465,3.4250918692313137,-4.2681220704354343,3.875729209776968,-5.8648399049080906,-5.5565107995308933,3.5692497557364407,3.9789401358328762,-5.6811984711922703,4.2586289709769192,1.7590841120444238,3.5297552412711086,2.3529039686881008,-6.1315530473031101,3.7280699080191555,-5.3548949891366062,3.2782713240347805,-6.2212966614998875,3.5055633848868313,-5.4770072633065281,-0.9730303221978247,3.6990600889883938,3.7497507399283352,-5.3982642823494968,-5.8888567620553074,3.8859354323111477,3.5195432966910305,-3.8963805371560154,1.8053032225333154,1.4098991221152246,3.5934301680289211,2.5643507307730617,2.7622026270590725,3.8044158285818996,-5.9591859513558445,4.1719976729117336,3.64369691073522,-5.4930647546090183,-5.7994507485665379,-5.3392757111825047,3.3259717291556301,-5.4468868905343113,-6.3571780854500828,3.2842856711111965,2.3560041254721584,-5.2326768571175633,3.7973028486929836,3.8533784216605129,-6.110382907990366,-5.2379931145943699,4.0392576521597805,-5.8231190377511082,1.1200755900107324,4.1074754065237942,2.8175944155417385,4.5524135893546047,-5.6430138284005222,-0.59149248242750763,-3.3063419991768894,-0.87759719878807663,-0.5074914628304541,4.0615278547964992,4.4845186537466946,-6.1248058015145359,2.3313630884848537,-6.0432237321175633,4.2014442747794094,3.8849631613455715,-3.2771187955178318,4.2126609152518215,3.7082096403799953,4.0735517805777492,4.3654242819510403,1.9640537565909326,2.6016289061270657,3.8542548483572903,3.0065325564108791,4.0419470137320461,4.1198397940360012,-6.0586279565133152,-5.1990746194161472,4.7570358580313625,3.9814606970511379,-0.085499518517404782,2.8601588076315823,2.3237930601798,3.5537105864249172,4.019373065825552,3.6876221960745754,-5.7977875405587254,-5.6799820596016941,4.0421482390128078,-5.2353085213936863,4.1839581793509426,3.8697253531180325,-5.2171081239022312,3.1247845953665676,-5.2775639230050144,4.3466187781058254,4.229857570525259,-5.8318871194161472,-4.0895787411965427,3.4561802214346828,-0.86872646302357315,-5.2169026070870457,-5.7484263116158543,2.4695133036337795,-5.0677164727486668,-5.508423679474741,-5.7000273400582371,-2.384531849030405,1.4761222666464746,3.864562160369009,-3.9497762852944431,4.8315531080923977,3.0862537687979641,-5.9344409638680515,-3.4777868920601902,0.21113300978764893,4.840610629912466,4.8818041151724758,-6.0327304536141453,4.0719081228934231,2.6357158487997951,4.2293235129080715,3.840809947844595,3.3152538603506985,3.6268993681631985,3.0060921972952785,4.0086442297659817,-5.1835802727974949,2.4848958319388332,-6.2344092065133152,-5.5369199448861179,-6.3334220582284031,-6.2132896119393406,-5.066432827118784,-1.4480543667115271,3.3920031851492825,4.4146901434622707,-5.7791112595833836,3.1617196863852444,-3.8526743584908543,-5.9049895936287937,3.5681854551993313,3.6677147215567532,-5.6211966210640965,3.6967369383536282,4.1724149054251614,3.472437030669302,-4.7719811135567722,3.929534084197134,2.6585174864493313,2.4152344530783596,-5.0892194443978367,3.7046052283011379,3.3906790083609524,4.7917453116141262,2.8252738779745998,4.0964404410086575,3.8458415335379543,-6.1054814988411961,1.3883909052573145,2.5578230684958401,4.1579734152518215,3.1511603659354153,-5.3443311387337742,-3.804554575089365,3.9519139593802395,-5.7158354455269871,3.0774141615591946,3.7683998411856594,-5.7632640534676609,3.9628754919730129,-5.5107792550362644,3.9301687544547024,4.6595903700552883,4.1110025709830227,-5.9925340348519383,-4.9079335862435398,-6.0116313630379734,4.0381800001822414,-5.4791096383370457,4.6404048269949856,-5.9147142106331883,3.2200423544608059,4.5811253851614895,2.5719155138693752,-5.3072446519173679,3.4785252875052395,4.7884126967154446,4.8735128706656399,0.93153310477361084,-5.5963596040047703,1.4240881270132959,4.1605702704153957,4.401481277342886,4.4116336172781887,2.2761439150534573,-5.4898661309517918,-5.9866064721383152,0.052783197756856692,4.2244850462637844,3.0144556826315823,-5.5977681809701023,-6.0059684449471531,-5.1179498368538914,-5.9642866784371433,4.755299693938345,-5.2662986451424656,-5.939667575959116,2.5774887865744533,3.598171836730093,3.0617722338400783,-5.761318081025034,3.9120718306265774,2.3118149107657375,-0.94558409691229461,4.7828432387076321,-5.7654126817025242,0.027312404509633792,4.2756439512930813,1.9600929087363184,-1.161150538329035,2.0367411440573635,-5.0087841683663425,3.975620395537466,3.1880821055136623,2.7272015875540676,4.3192216223441067,3.8340650862418117,2.8559435671530666,3.5511461561881008,-1.1332349711693823,-5.4355901414193211,-3.4096795254983006,2.4791776007376614,4.6648203200064602,4.1341716116629543,2.2596844500266018,-2.2627447778023777,-5.6280082398690281,3.6935759848318996,0.045447177287191165,-4.5587662392891941,4.2700878447256985,3.568332797881216,0.053109652396291507,-5.3360952073372898,2.4490696257315578,4.8878732985220852,-5.5685132676400242,-6.0200279885567722,2.4781998461447658,-5.3996018105782566,3.8232137030325832,2.8570469683371487,3.0393348997794094,-5.3638433152474461,-4.6927961045540867,-5.9462650948800144,-6.0231627160347996,-5.7078756028451023,4.3533126181326809,3.3287721937857571,-5.3460568124093113,4.0853062933646145,3.2402073210440578,-6.1529258424080906,3.6316906279288235,3.9792114561758938,-5.3954003983773289,-5.3247002297677097,4.1878510779105129,3.7272607153616848,-1.2834967309273779,-4.200078838471323,4.2237268751822414,3.784641391631216,3.8982225722037258,-3.4720481568612156,3.3765975302420559,-5.1755126649178562,4.7304683989249172,4.2413960760794582,-5.0755652123726902,-5.8730138474740086,0.63916409670934082,-5.2855743104256687,-5.9280646973885593,-5.8428872758187351,3.1702209776602688,-1.5372922354973853,3.2740551298819485,3.9582825964652004,-5.8968070679940281,-5.4941357308663425,3.8447271650992336,-5.9965819054879246,3.6187459295950832,-5.6920345956124363,4.2110291784964504,-1.2227924102582037,-4.1958619290627537,3.6590329474173489,4.1788326567374172,3.7835108107291164,4.2851477926932278,-4.472365968827158,2.32739413439855,3.7456418341360989,-5.5271786385811863,-1.2761777573861182,2.6533113783560696,4.0993858641348782,3.3688551253043117,3.51955140292272,0.9623799389563501,-6.0224155122078953,-4.9960721665658054,-4.1175070935524998,3.8025161093436184,4.1205469435416164,-5.2678822213448582,-5.5907281571663914,-5.6040223771370945,3.7243415182791653,3.85278475939855,-5.5447462731637058,-5.2768815690316258,-1.0130716794766486,3.7916637724600735,-1.6983771258629858,2.3243960207663479,-5.9584807091988621,-5.6282089883126316,-0.42723717630282043,-5.5163015061654148,3.1376510924063625,-5.6191514664925633,-5.7415689164437351,4.206941253539175,-5.2534431153573093,3.9675642317496242,-6.0725492173470554,1.9586480921469629,4.1869531935416164,-6.2223313981331883,3.8577367132864895,3.9003025358878078,-5.4860662156380711,-5.8056019479073582,3.5305005377493801,-6.1973417931832371,-5.3344272309578953,-5.4571069413460789,3.975402004119009,3.6755405729971828,3.9099475210867825,4.2384554213248196,0.26568508803471924,-5.1797989541329441,3.2572733229361477,4.3663502997122707,-5.3959749871529636,-5.925296180848032,-5.6979926759041843,2.9078658884726467,3.1994730299673977,-5.936590068940073,4.2089210814200344,-6.0896280938424168,3.9946595495902004,0.054381198283284915,3.6767584150992336,3.7615333861075344,4.8140150374136867,-6.4130009347237644,-5.9415091210640965,2.0899595087729397,-5.3260720902718601,3.7020202940665188,-1.6567391091622412,-5.5412248307503758,-5.6700743371285496,-5.2964433366097508,-5.8124340707100925,-5.5755661660470066,2.9057635134421291,3.9530860251151028,1.3539816206656397,4.2713748282156887,3.7435547178946438,-5.8213099175728855,2.9427110022269192,4.6808501547537746,3.6478635138235989,4.4028011625967922,4.4463373488150539,-6.1728409463204441,-5.7990935975350437,-5.689214580658823,-5.6546972924508152,1.1747036045752466,-5.5775760346688328,-5.4664224320687351,4.2264033621512356,-5.6370757752694187,4.0269590681754055,-5.3465093308724461,3.6384803122244778,3.0052238768301907,-5.3552411729134617,-6.0912598305977879,3.7730208700858059,3.4275070494376125,3.6208459204398098,-5.9925941163338718,-5.4850720101632175,-5.6369341546334324,-4.8173636132515965,3.9032551115714016,-5.7200759583748875,2.9863430327139797,4.0981928175650539,3.4018317526541653,4.6671968764029446,3.8511496847830715,1.6804815596304834,3.8968588179312649,3.834314472075552,3.5979048079214992,4.4432860678397121,4.7364717787466946,-5.3801878625191746,2.2328699892722073,-5.7004131013192234,2.710779315825552,3.4951072996817532,3.1732744044028225,-5.6688474351204929,4.6734758681021633,3.1907359427176418,-2.8448234730996189,3.9047581022940578,4.7213956183157864,3.4439202612601223,3.2129169768057766,-5.8644889527596531,3.3282324141226711,3.5844150847159328,4.6877924269400539,-5.7232388192452488,-5.2029036217965183,-5.2021268540658054,-5.2785514527596531,3.6263157194815578,2.479031211730093,3.5073601072989407,-5.2538922959603367,-3.0699297124184666,-6.25950133145228,-0.72990534544363617,3.7311569517813625,-5.8988321954049168,-5.7185310059823093,-5.4856384927071629,-5.2154592210091648,1.5948706930838525,-5.2093313866890965,-5.3409093552865086,-6.0478628808297215,3.8831917113028469,-6.3964275056160984,3.9812675780020657,4.1653372114859524,2.3977209395132961,2.9845653837881985,4.4032703703604641,3.4935313528738918,2.7370964354239407,3.7417784994803371,-5.8190969163216648,4.1854006117545071,3.6822696989737453,-4.2920180493630467,-5.8522084885872898,3.5731941527090969,1.7521566218100488,-5.8279870682992039,2.7569011515341701,4.248017913695425,4.098847991820425,-5.4763725930489597,4.1806789702139797,4.0674892729483547,4.1557580298148098,2.5360230272971096,-5.1990946465767918,3.1759957140646877,3.3869148558340969,4.0969482725821438,3.3270999258719387,-6.1945279771126804,-5.7646449738778172,-5.7636789017952976,-5.1860245400704441,4.5106087988577785,4.19380677401647,1.4348169630728662,3.0483075445853176,1.3041571444235742,3.0737329786978664,-5.1791127854622898,1.1023757523261011,4.0267154043875637,-6.0973647767342625,3.6752859419547024,3.9452782934866848,1.7036799257956445,-5.7025231057442722,2.6535900896750393,0.59107614218816162,2.3053306406699123,3.3949061697684231,-4.742568605545908,-5.3095802003182468,4.11096347033605,3.2922116583548489,-5.3414553338326511,-5.8058999711312351,3.946593410369009,-5.8377684289254246,2.3679226702414455,2.9427760904990139,1.3651951616965234,-2.5972028905190525,4.2035375899039211,3.466514236327261,-5.7322076493538914,-2.0195505553521214,-5.7662848168648777,-5.9279640847481785,4.3577228850089016,4.2267390555106106,-5.7661789590157566,3.7150350874625149,-5.8282102280892429,4.1812874144278469,-3.0853332215584812,-5.0930021935738621,-4.6041163140572605,-5.9298237496651707,4.4462629622183742,-1.1161883407868445,2.9753459757529201,-1.4426591330803931,-5.3608812028206883,3.1076239412985744,-5.6868876153267918,-5.4807642632760105,-0.39783977806940674,3.6715747183524075,-6.0093773537911472,2.7764593428336086,-5.3116773301400242,4.1185156172476711,2.7369030779562893,-5.5967267686165867,4.0319467848502102,4.0021592444144192,4.0022865599356594,-5.8418825799264011,1.6526974505148828,1.1953849858008325,2.820102817412466,4.2609082525931301,4.1749731367789211,4.3862692183218899,4.3566633528433742,-2.4362351828850803,3.3300324743948879,4.012112266417593,-5.6537359887398777,-2.8257852727212009,3.0882600611411037,0.37636244952306153,-0.12059801161661743,-4.0914295846261082,-4.4639335805214939,-5.920357101563364,-5.0288318330086765,-5.9399326974190769,-6.493007534150034,3.1518148249350491,4.3253170317374172,3.7653600043021145,3.1259836024008694,-2.6130442553795872,3.4876762694083157,-5.858338230255991,-5.0883473092354832,3.8392578428946438,-3.0593122178353367,-6.0411423379220066,-5.8218725854195652,0.73053050696477295,3.9582296675406399,-3.4760218793191013,1.3216131991110742,3.2579966849051418,3.1491898363791408,-6.5008796387948093,3.4683419531546535,3.6988960570059719,4.2128936117850246,4.2010084456168117,3.8220959967337551,-5.3025659257210789,-4.2893997365273533,-6.0911062890328465,2.067372447844595,-5.4109014207161961,4.6016327208243313,4.5009285277090969,-4.0317429238595066,-5.2523106271065769,4.2790666884146633,-5.1373242074288425,3.7997213667593899,4.8305007284842434,3.3830891913138332,3.4761420553885403,0.63557816207036377,-5.7402013474740086,3.9067779844962063,4.2600380247794094,-5.9681919747628269,3.1113175219260158,3.7827926939688625,2.5168422526083889,-4.990298622254282,3.9831935232840481,4.1178962057791653,-5.845271938446909,-5.4591568642891941,-6.054481857422739,2.3576153582297268,3.7698017424307766,3.6942468947134914,3.8944641417227688,4.6226311987601223,2.5652514761649075,-5.1815284425057468,-5.5244868928231297,4.1578036612235012,4.2988306349478664,-5.4960130387581883,-5.8595412904061375,3.6086574858389797,4.1299988096915188,-2.9065550500191746,-6.0575002366341648,-5.3156188660897312,4.0152269667349758],\"y\":[-2.4239424188975245,4.5609880963917817,-1.3609242161158472,-1.4919820149783045,-1.060248257720843,-0.0031989534739405023,5.2746326009389009,-1.9571644981745631,-2.0396699627283961,0.50371637741290032,2.8119253198262304,5.4130541364308442,5.4319583455678071,-4.1813345869425689,0.82002225319109856,-3.361192556226626,-3.4751935919169337,6.2332655469533051,-1.9023222645167261,-1.1458798964861781,0.070623842870816578,-2.1729515512827784,-1.3012585361842066,-2.3668752630595118,4.1861511746998872,6.1666990796681489,-0.07431981166638435,-5.0962627848032866,-2.4883317669276148,-2.0352490862254053,0.68722930351458489,5.3556334058400239,0.84017362991534172,0.15182634988985955,-2.3230533321741968,-1.8098151405695826,6.3171145002003755,-1.5227970202807337,-1.9278317411784083,-2.0975117405299097,-1.8467319925669581,-0.24890917738713325,5.2868897000905122,2.8192738572712988,-2.0351397713068873,0.27459999719820916,0.21939983764849602,4.8468886891957368,-1.251596780622378,3.2370296994801611,4.0774675885792817,-2.157822104299441,-3.4739092310313135,-1.0692414363268763,-1.9240455349329859,2.4415027181264013,4.9130069295521821,1.6697985211964697,-3.5910936315897852,-1.6339909156206995,-0.10385725101269783,6.13976636329852,-0.1988587697390467,-0.72892709089256824,1.9006220380421728,-1.7581078728083521,-4.1603685339335357,-3.7919968088511378,-2.6646362264994532,6.2563449422474946,-1.8575770576838404,5.4354602376576509,-3.8577817400339991,-0.86170599063672126,-1.6714509447459132,6.1034232656117524,-1.7020700295809656,-3.5910142382029444,-0.90599982639588417,-3.278905244672671,0.34204461971484124,-2.493720861280337,-2.9189573248270899,2.5575565377827734,2.1375414411183447,-2.3076520880106837,0.85956921974383294,5.5023647824879731,0.1226136366482824,0.90666511455737053,-4.3640995939616118,0.78360476890765129,-2.229204030836001,-3.5964950044993311,-2.7376447637919337,5.8229342977162446,-1.4376525600794703,-0.0071892460230738031,1.0902816335316747,-3.723750682676211,-1.545060189569369,1.8917509595509618,0.10975864330492913,3.767842916643247,1.0953157226201147,4.7440544644948091,6.2671872655507173,5.0375486890431489,-1.4930325468424708,-1.6865774711016566,1.3132356683369726,-2.5282889326456934,0.2322489897366613,3.053478149568662,-3.6445847471598536,-2.0364881475809962,2.1979185620900243,0.4737764875050634,0.34391608635149895,3.1931356469746679,4.6984931508656587,-2.3206523378733546,-1.3709589560870081,-3.3848780115488917,0.10801014105044304,-1.8686189373377711,-0.27822473844327034,1.7524751702900976,-2.2824387272242457,0.040917066728696216,-1.8718527277354151,3.5393640081044286,-2.5310460050944239,-0.79395885964669288,-3.6142457445506007,1.3428472558613866,2.1670099774952978,-1.0547011216524989,0.053220657503232349,-2.5049843510035426,-0.078191729390993725,0.58263471523486077,-0.33809483250416816,-3.0026050527933985,2.1802228967305273,4.2852317372914399,0.075537113344296802,-0.45325485070981086,-2.1088388880137354,5.6170193235035981,-0.0042112191561609613,3.6995402852650732,1.3101433793660253,3.7294951955433935,3.2245275060292333,-2.5156374891642481,0.19655898014269768,2.7750836888905615,3.9751702825184911,-1.3423747738245875,-0.79763170530833305,-3.783922048414126,5.7760783712025727,0.4742647687550634,-3.9147642572764307,-1.4897038062456995,0.72149756351672112,-4.6768530329111968,3.9998981038685888,2.9275032559987157,3.9596087018605322,-1.4805615266207606,-2.3055076321009547,5.709130434190854,-0.66058179190196098,-0.68876549241878093,-2.0615666826609522,-1.4961245973948389,5.8569709340687837,-5.3729494531992827,-4.7047046144846831,-4.5010617693308745,-3.0754037817362696,-2.2853716333750635,-2.3944978435877711,5.0284039060231294,-0.52450566192902626,5.862429765855893,-3.6829043348673731,5.7198440114613618,5.8193899671193208,5.4614092389699067,-1.839825483167544,-0.37305695017613472,-2.2612950523737818,-1.7410278042200953,-0.47179021140374244,-2.8548248728159815,0.93267014423571526,-0.28739908536709846,6.1978861371632661,-2.2965886314753443,6.0330149213429536,-1.8899432142619044,-1.9679584225062281,-4.8555706461314116,3.2717842141743749,6.2791606465931977,-2.1638055761698634,-1.2251872738245875,-1.6241277178172022,4.5317422429677094,-2.5921070297602564,-1.6452137549761683,-2.5512525757197291,5.8063866178151216,-2.8423815687540919,-4.3189624269846831,5.2906090299244966,-1.2093105038050562,-2.2468459328059107,3.2060834447499365,-0.22580784758366645,-5.0903199633006011,-4.9740699251536284,-1.5329989512804896,0.3640733043309301,-1.9681979139689356,6.0053149739857759,-4.7634843309763824,-2.3324273546580225,4.7507134954091157,-2.1058399399165064,-3.3286565264109522,-2.1642199476603419,6.1403819600697602,-3.1477533300761134,-2.4249170740488917,0.032660750543698658,-1.5147729237917811,-1.7047620733622462,-1.7407974918726832,5.9290868322011079,0.73337867656908928,2.081605819856748,-2.7303775270823389,-3.3545483072642237,3.7827760259266943,-2.4628283699396998,-0.18605199655331672,5.7512680570241059,-0.62760734757222236,-2.2259094437006861,0.66038360992632805,-1.7920636852625758,-1.9738279302958399,-1.9679617603663355,-0.75979690825380386,4.4477821866627778,3.7065235654469579,-0.47790557345189155,0.37111750045977532,-1.2477879842165858,5.3866788426991548,4.6404534856434907,-2.0194360931757838,0.24557277361117302,-2.1719521005991846,-2.534595580900088,6.0664698163624848,-0.97541529139317573,-2.9255004843119532,1.4162239114399999,1.2918585816975683,-1.7989293058756739,1.5153717080708593,-2.089099975431338,-5.2532542665842925,-0.6945296322349459,-0.55396698614396156,-2.0415210445765406,1.6229487935658544,-0.38922444185055793,-1.5070934613589198,2.724437622224912,3.1053611318226904,0.36135938564501702,5.0215751210805024,1.0733109990712255,-1.1420734246615321,4.5590206662770356,5.6490041295643891,0.79236331382952629,5.1439806501027192,0.90493681827746331,3.5825807134266943,-3.3516133745554835,0.96703484455309807,0.013699082529172291,0.43656936088763176,0.18593749204836785,-2.287687393033877,-1.1840383132342249,-1.854727359617129,-1.2767833789233118,0.62264111438952385,-2.3413816412333399,-1.5632042010668665,5.9288293401356782,-2.3667430599574,-2.6569406708125025,-4.9233997782114898,-2.4469978531245142,-3.4312649687174708,6.3557030240651216,6.2044831792470063,6.2774120847340669,-4.958230348432437,0.73083033958636223,-4.9192923029307281,-2.1936223228815943,-1.0237523933295161,-1.9902027567271143,1.2441510240193456,-2.3397497852686793,-2.555000158155337,-0.081854196393862377,-3.352185102308169,-1.7697127779368311,5.1079546491261567,-1.8375985344294459,-3.7284103353861719,-2.6187299211863428,-2.6839514692667872,-2.3111585100535303,-1.5935382564906031,-1.7216208895090968,3.1498731652852148,-2.1834809502009302,-0.81959226926602424,0.29429247776232659,-4.2564638574961577,-4.0790687521342193,-2.2445436437968165,0.86365702549181878,6.2456165830250825,3.1487597505208105,5.6828376332875337,-0.31161385973729194,-3.3768814524058253,-2.1371415575388819,-2.4847284277323634,-0.63256122370995582,4.585175184404477,-0.86869067152775825,5.7339288274403657,-4.7821448763255034,-1.6008018573168665,-1.3599250038508326,-0.89102895756997169,2.0458225289937109,-3.0228110273722559,3.6446587125416845,6.1587616483326997,6.3113709966298188,-0.93845525583066047,0.27336951891146599,-2.2699178179148585,-0.8309136574510485,-0.5421614368800074,1.9949585477467626,-1.3848834355715662,-1.2548774202708155,-0.303394796455279,-1.8503794391993433,-1.6082303841952235,1.0362267772313207,-0.25962552627362312,-2.2054419239405543,0.15909203687869011,-2.3545452078226954,-3.8162888010386378,-1.7407530268076807,0.15898248354159294,-2.9843977411631495,-4.7334559877756988,0.4603710452672094,6.5101992169972505,-0.99471473892964424,5.3173429051991548,0.010975567495450367,1.3160141984578222,6.0811940709706391,4.2911726514454926,5.8067003766652192,6.1516915837880219,-3.8477219065073878,-0.56223127445019783,-0.60679900100268425,0.26178195873461663,0.77471056381426751,0.02344634929858147,-2.0636211355570704,4.3087302724476899,2.5385943929310888,-3.7607172449473292,-2.8300114591959864,1.6987279931660741,6.1059791127797212,-2.367948623502627,-1.3026901801470667,-1.582632096612826,-2.562305541837588,-3.0956462343577296,-0.49307361444272102,-2.3902754505518824,0.096637038385495533,-1.002995671832934,6.155241159593686,-2.3592964132670313,-2.2031477411631495,0.19480547109805046,-1.5894029458407313,-3.7234464605692774,-0.57716794511117042,1.0069606582280248,-5.3106635530833159,-2.7188754995707423,-0.67533974921144546,-1.5247779806498438,-3.3243452032450587,3.8057982007618993,1.7180282155629247,1.8951307813283056,0.38730898300372063,0.4815432111378759,3.4106136838551611,3.9369875470753759,5.7471791783925141,-1.6154571493510157,-2.5282175262812525,5.5046383420582856,-2.2374744137171656,-0.74580705364979805,0.63541057506762444,5.0971418897267426,6.0172392408009614,-1.1334699412230402,3.5790030042286962,-0.63466766675747932,-1.9919628818873316,-1.4715509136561304,4.1195961515065278,6.0665365735646333,-0.15717074474133552,-0.83351120551861824,-0.041548641527071606,-3.4789639433268458,0.08589747348986565,2.8287989179249853,-4.2947400530222808,-1.6391935070399195,0.73227992454729973,-1.9409398754481226,-1.9238525350932032,-3.2999371012095362,-2.4444392641428858,0.584676412736997,-0.47898596724309028,-0.063820513093844067,-0.85163870652951301,1.7567495385762304,5.9222551862355317,-1.4317240436915308,-4.290679307783023,-1.6689185818079859,-1.9907366951350123,3.6644283811207861,-1.208278807008639,-3.2294615229014307,-3.53181395133771,0.16766300598345696,-3.8767207582835108,-1.6996605714205653,-3.1247032602671534,2.3767744580861181,-5.1896551569346343,-2.085426183545962,0.15554716983996331,-3.1717403849009425,2.5828756372090429,-1.5759708603266627,0.50336995521746575,-0.00096622308529914491,-3.531302066648379,2.3629836122151464,-0.51668662031926216,6.5097676793690766,0.10245349804125725,2.4005526582356542,5.1191674749013032,-2.2253373583201319,3.7342983762379736,-4.8967646082285796,-2.1765366514567286,5.1614891568776216,-3.658861013257876,1.1124904433842748,-1.3171585520152003,-2.0713031013850123,-1.6945940574053675,0.51691594520770012,-3.4552353342417628,0.68430438438616692,2.1503387967702001,-0.44561726053990425,-1.3538924773577601,-1.7000657041911036,0.19344046512804924,-0.25588000019825996,4.1527763883229341,-0.056277902925387036,-2.3305705507639796,-2.6961437185648829,-1.2722177823428065,-0.1896642764452845,-0.37577939232625068,6.5140706578847016,-2.6139056404475123,6.2066051046010102,-4.4964416941050445,1.5446392575856298,0.22592374483309685,5.8738400022145356,-2.5415188988093287,-0.46387927433289589,6.3667241613026704,-5.0694449861887847,-2.1448111256007105,0.58100822368822991,-0.52378004988469185,1.5315343419667333,0.30252352157793938,-0.27326551278866829,-3.302570434415713,-0.26172504028119148,5.6343637982960786,-3.9731949289683253,4.9236470739003266,-0.017684849107638012,-5.1671312769297515,-2.1053601225260645,5.7960950414296235,-0.75854998281039299,-0.19752535423077644,5.9886652509327973,-3.0913077314738184,5.5834752599354829,5.8752571622487153,5.6014906446095551,-1.6426285227183253,2.61355319420062,-2.5852859934214503,0.032042411958798755,0.14958980480395256,-5.4139483888987456,-2.1020459850672633,0.086386946832761158,5.8410164395924653,-1.2037187536600977,4.2020098249074067,-2.2779335697535426,1.0987122336979955,-3.459409805143252,-2.2577160318735987,5.1850587407704438,-2.6689614971522242,-3.7811191995982081,6.1284867803212251,2.7336803952809423,0.34952881733141838,-3.34799465736188,6.1840998212452973,-0.59392323544062675,-2.1494937857035548,-0.99437400897778572,-2.485010357702151,-0.55357498129643501,4.2672535459157075,-1.966421695554629,-1.3056107481364161,-2.0817610939387232,-1.8661416490916163,1.1090861837025732,2.5411118547078222,-0.28003990849293769,0.32085719505511223,-1.5454110821131617,-2.0634958465937525,4.3861509839650239,-1.7415537556055933,2.8075331727620214,-1.8260016163233668,0.1392575780507177,-2.8897417505625635,-3.4982336481455714,-1.4735290130022913,-2.5246780832652003,-4.7272222956065093,-5.0906585176829253,5.9258219281788911,3.3085028211232275,-3.1412273367289454,-1.4506988843325526,-1.7402947862986475,4.1155492345448579,-1.8608510216120631,-2.1143266876582056,-0.94771781762875618,0.50713565746508538,0.45906033912859856,-0.46734926303662361,6.0061265508290376,-3.1791225393656641,-1.5013940056208521,-0.26577314933575691,-1.7897350510004908,5.63598218361102,-2.0897912701014429,-4.5101326425913726,-1.6685838421229273,0.97515573898516594,-2.7128883322123438,-0.32605084975995124,-3.5607670267466456,1.3025166074391454,-3.6134074648264796,5.893799451982602,3.2949859181996435,-4.6001072843912993,-3.0487497766856104,-4.0350559671763335,-4.5549701174143706,2.9335071126576513,-2.3022573908213526,-1.7962529381159693,0.5133655349370092,5.6860047856923188,5.159546522295102,-4.9965170343760406,-2.1413491686228663,-0.82106331934966148,6.3522821942921723,-0.51868814429081977,-1.7872458418253809,3.3782621900197118,-1.169714810455218,-2.4311220367792994,1.5110184232350439,-1.2300030310992152,-1.2066546698454768,-1.225744934881106,-3.5523766001109034,-2.6143294294718653,-2.6177423914317042,6.0290595571156587,-0.50202726026810707,5.5554124395009126,-2.0825966318491846,0.82027926841937004,-1.0108128507975489,5.9120933095570649,-0.79877247860468925,5.0785557309743012,-0.31409719785489143,-1.3025124987009913,-4.4558144529704009,-2.3140825947169215,-4.6657434423808013,0.41521671215258538,5.1376625577565278,-3.4929128607157618,0.48376431862078606,0.29471722046099602,3.2478906194325536,-2.2987181862238795,-1.0797995050791651,4.2867161313649262,0.0086186210270970953,-1.9105398376826197,0.51899733940325676,3.5210286656972021,-4.0809699018839751,3.3192664662953466,0.70587757030688225,6.1707736531849946,-1.5136269052866846,4.7605287114735688,1.2189218083973974,0.45066287914477288,-0.091579588258638989,-1.3130245526675135,-2.0013136585596949,4.0836221257802094,1.0017936507817358,-2.5277898033503443,0.11476179758273064,-3.4343720396403223,6.1084958593007173,3.0255440751668066,-4.9682110269907866,-0.095709474885836254,-0.18845281204022468,-1.0779137929324061,-2.2594849785212427,-2.3959475477579981,3.6926156560536474,5.6331044713612641,-2.3972980697993189,-2.1494072397593409,-1.8019695003870875,-2.0892197807673365,-2.9782463034037501,-2.4243255575541407,3.3101173917409032,6.5054933110829438,-2.6928626020792872,-1.9548871239069849,-1.0323364158514887,3.8065759221669286,0.62841287056170403,-3.9875546415690333,-1.8541104515437037,0.92590418258868157,0.30194666782580315,-1.5018984397295863,0.4845412055607885,-0.17712667783536018,6.4476925412770356,-0.47259341379441322,-2.5780229290369898,-3.4406310041788966,-1.6972892006281763,-1.2190810163859278,0.82663360038958489,-2.8337613066080958,-1.8718189915064722,-2.4918985088709742,-0.4765626957062632,3.815107492601499,-3.0737915953043848,-4.5077687223795806,-0.55044420262612404,1.6344713250752538,0.59758129516802727,2.3286994973774999,-1.5176588614825159,1.3997396508809179,4.3693019429799165,-3.5230122526530177,-2.2236046512965113,1.099791912233457,-1.3247968276385218,6.2552506009694184,-4.1716831644419585,-1.3806635459307581,-3.7157302816752344,1.2596484700795263,-0.46185544332303108,1.3177145997639745,-2.3060733993891627,-0.057403357828035961,-2.1491220911387354,-1.5088147242907435,-2.2488428076151759,0.89430573383532463,-1.2219919284228236,-1.7824537475947291,4.7233945409413423,-0.8146330138090998,0.60548105636797844,4.515163091814145,-2.2426744421366602,-0.93062654336728157,-1.4334760030154139,-3.3568438013438135,-0.10162368615902961,-1.2473947127703577,-1.5495269616488367,-3.387439819181338,-2.4978031834010035,-2.4426278789881617,0.23960020939074456,2.0904172937031835,-2.0420862158183009,4.447622923051938,0.33577218452654778,6.0066849271412934,-1.2338218410853297,-0.76057930489815773,1.4095458070393652,-0.41820094188489021,-3.2321222742442042,5.8363801519032563,-3.3232058008555323,-2.5770795067194849,-0.31931096514500679,0.72523787418566643,-0.036010058725252758,-1.6460498293284327,-4.2690785845164214,5.3818947354909028,-1.8912765701655299,2.2370673696156591,-3.2408536394480616,-0.01739844878949226,-1.6100855191592127,1.1436475793477148,-2.5046910961512476,1.2412191907521337,3.1574496308919042,-1.7195602377299219,-4.7333548982981597,6.1509872953053559,-0.61843190541304649,-2.2150703390482813,-5.430299611890689,-2.640328617895022,-2.9598692377451807,-2.3358186205271632,2.9129666368123144,1.7064711133595556,-2.3687793930415064,-3.3262511213663966,4.272367624437436,-2.3304073532465845,-5.2894814928416167,-1.5694117864016444,0.69464531341753899,1.2206509391423315,-0.38724771341122688,-2.281199904287234,0.87080135742388665,-3.0151425321940333,5.7142797986622895,-1.7597033699396998,6.3953572789784516,4.580111650621518,-3.4103980978373438,6.4420615712758149,-4.1383369882944976,-0.40766781767643989,-4.5225485285166656,-4.4413059671763335,6.0136028806325044,-2.5683570822123438,-2.0698828419093043,5.9267965833302583,5.8210684339161958,-1.584379287565127,2.4513479749318212,0.31395700374804436,-2.8859759291056544,-1.6249425133112818,-2.4603950699213892,-1.8524055202845484,-5.2353986223582183,0.18474444547854363,-2.2207362373713404,5.3366757909413423,6.5767537633534516,4.927673963701352,-3.2087076624277979,-1.4646193703059107,-2.422739358747378,5.3576818982716645,-2.099086376035586,-0.80372051348723472,-3.9434927423838526,-2.9411636312846094,1.1226489822026342,-1.3077832778338343,-0.78446293076314033,-0.68009287318028511,4.4954034368153657,-1.7862660606745631,2.6894771138783544,-1.0091382583025843,1.5287803689595312,5.8734637776967134,-1.9619347771052271,5.6830383817311372,-2.5390444715861231,4.1398221532460298,-1.2197047789935023,1.6846672574635595,6.1165787259694184,-1.2854562123659998,-0.56570275327004493,-2.1670902689341456,-2.8032799681071192,-1.1525176187399775,-2.3812174518946558,0.88983025947771965,-4.9088624437693511,-1.5525943954829127,-3.266095014417544,-1.3213318904284388,6.33929028907977,6.3083335439320649,5.3751651326771821,2.3950490037556738,-2.5892675836924464,-4.4900182207468902,-3.7087305506113917,5.0579430142994966,4.3881346265431489,-3.241342874372378,-0.76926513587869705,4.7141295949574555,4.8203302899952973,6.2412511388417329,6.1266581098195161,3.4219328443165868,2.9060088674183935,-1.6100386103037745,2.0702642480488866,-0.63595286955870689,0.001632181799039234,-1.7061382254008204,2.1587850133534521,-5.0214823206309234,-1.8804079016093165,4.8964935819264497,-0.22585761746205391,-0.9315751661900431,1.6518577615376562,-3.7565096338633448,4.5343104879017915,-0.25433305105008186,-0.59171976348198951,6.2357431928273286,-3.9927330931071192,4.1006461660023774,6.3245631734486665,0.31341960827074944,-2.3546580990199,-0.027807446325197827,-1.5766496380213648,-3.1263745745066553,-2.0799854715708643,-0.87494377990998329,-4.1723013838175689,-2.6738413294199854,3.1740800420399755,-0.7417087220940739,4.9637571851368989,-2.4503285606745631,1.6926080266591161,0.85934927860461174,3.4705716649647802,-3.294992776716128,-2.8455587347391993,-3.1253803690318018,3.7592670003529638,-0.76378666808642448,-2.0003306587580592,2.2952796498890966,6.1151291410084809,-1.1817605515364558,-1.4531759341601282,-4.4622977693919097,-0.50720545848645271,4.1018168012257661,3.4780861417409032,-2.2370871027354151,1.986632732545957,-1.8131473978403956,-5.0639975984934722,-2.3007143457774073,-2.705123277509585,0.035058585798367847,0.22291055122576653,3.6925312558766454,2.8941611329670995,-1.845871420705691,0.78922310272417961,-2.3646841963175684,0.97853210369311272,-1.6979959925059229,-5.2773097475413238,1.0312146226521581,-2.0426032265070826,-1.8615666349772364,-1.660240681970492,-5.3637460192088042,4.6611811200734223,-1.0947847386244685,-1.9412618597391993,-3.1654377897623927],\"z\":[1.7209126597205178,0.304718563512899,2.9518279677191748,-0.11627197806444017,2.527021372870542,-1.1616564149102195,-0.44043216650094835,-4.4422009343346582,-1.8901479596337303,0.64212461765203632,0.90162458475027241,-0.5616598481377586,-0.31387249176111071,1.6474694853583352,-1.8559828156670555,1.3017032986441628,0.53710638935957111,-1.2055859917839988,3.2410707121649756,3.5603587275305761,2.2997942810812964,-4.4041054600914942,3.0363416319647802,-4.1149027699669825,0.53898705001268543,-1.3542396182259544,-1.0455540770730003,2.2678830271521582,-3.1062190884789453,3.3926832323828711,-1.9399180764397606,-2.1132080907067285,0.8171541338721291,0.90080531890783466,3.2868349200049414,-2.2322132939537989,-1.6255686635216697,3.6978158598700537,-3.3646304959496485,-4.3691227788170801,-0.46031162683572618,-1.7735357636651023,-0.24576518480386583,1.0056945925513283,0.77559181507024921,1.1263341551581398,0.76457359846029438,-2.0971832627495752,0.32114868070278318,-2.1789520138939844,0.59330972488317646,-4.064512526436709,2.7288589125433935,-0.74776128475274883,-3.9802940243920313,-2.265229021950625,-2.1370454186638819,1.3236580735007302,2.5187892561713232,-2.0720038766106592,2.070060694769956,-1.8430841321190818,0.54968904908094562,-1.9872184151848777,-2.2787847871026026,-0.65203252975549542,2.3033556586066259,1.9580397253790871,1.5473641997138039,-1.1801981085976585,2.8522421961585058,-1.9414627904137596,2.2424358969489111,1.4935800677100197,2.6814934855261816,-1.8734398240288719,-1.0633577460488304,1.3253179436484352,-1.3942010754784568,1.4389643317023293,0.87805118616018452,3.1031601076880468,3.1063513403693213,1.1078978424826638,0.92488339002523579,-0.33500662986841051,0.91635533626470722,-0.61538109724130474,1.9235921746054665,-0.84139434043969952,2.2650366669455542,-2.0481994504174219,-3.7735307568749414,0.60138397868070759,-0.051875984116457385,-1.3837494010170921,-0.086225038214586658,0.22023350949678572,-2.3228574151238428,1.8464862948218361,3.7029113417426123,1.2781826501647011,-0.56737945024576031,0.46906028892192991,-2.2135410660943018,-2.0628683919152246,-1.2380369061669334,-0.04046544973459093,0.837201023654081,2.9908573275366797,1.2327821498671547,1.9862050658026711,-0.17170277778711168,-2.2872708195885645,1.6243790036002175,-4.4389136189660059,1.1687112694540993,-1.7915833348473533,-0.93923786823358379,0.89649810846243061,-0.089318996115587634,2.4751481657782568,0.021782869652844983,1.0894958620825783,2.415010178641416,-2.4634974354943262,-1.4219024533471092,-2.0867083424767481,-1.6111193055352195,-0.87906924430932842,3.3997888212958349,0.84418412502203144,-1.2857990616997703,-1.5206691378792747,2.2332950478354467,1.4481854086676613,1.1002716666022316,-1.3295537585457786,2.6543135290900244,2.2881769781867041,-0.75032225792016827,-2.3060582036217676,-0.78535715286340557,2.4039139395514502,-2.3108218068322168,0.51729873772058643,-0.67585364524926983,0.053315753296948987,-1.8620951527794822,-1.9020243043145164,-1.2004583234032615,0.78582485969457783,-1.6618275994500145,0.86647834833059467,-2.3881311768731104,1.5621211176672951,1.9238834028998391,1.0202697759428994,0.47894205357227476,1.3589428907195107,-0.32135615293588488,0.68090977723989643,-0.55646727029886089,1.5054069405356423,0.55365350301656879,-1.5736995095452293,0.95347877796087421,1.1247000342169777,0.71669798548612751,-2.29292706195917,0.71361448820028461,3.739574158743955,1.3499763255873696,-0.61775795166101299,-2.1065354699334131,1.6193426495352761,-3.5662513131340967,3.0720355158606543,-1.9200106019219383,1.8633428459921852,1.5980829840460793,1.7556627636710183,1.7654970532217995,3.3954834585944189,0.94232525880727924,-1.9662084931572898,-1.849751507683657,-1.9525401944359764,1.4878282194891945,-0.63729122821893536,-0.7145071381768211,-0.39546743576135485,-1.3430507535180076,-2.0330062264641748,-4.1679814213952051,1.0494790321150795,1.4979819899359719,3.2407769804755224,-1.3561985844811424,1.0498764162817971,-1.191149269982241,-2.0094900483330713,-1.8639381283959373,-0.47995248977746813,-4.5793383473595606,1.6782898550787941,0.74070682580862202,-1.5883779877861961,-2.3771019334038721,3.1538161879340185,3.7083072310248388,-2.0808737630089746,2.0160249119559301,3.8996264582434668,0.14952222462091597,-2.0323360318383203,1.6737135296622292,2.1459217911520971,-0.31565431301202623,-0.026652877970598621,-4.1024010533532129,-2.1747932786187159,-0.94935015384759747,1.6422769671240822,1.5686887150565163,-1.7098124379357322,1.1636628156462685,-0.7162318581780418,-1.7282541150292381,2.2822488194266333,-3.2276380414208399,-0.078878974362276477,0.74750124867353596,1.5832513218680397,-4.0884254330834375,-1.0145118588646873,1.189559364871122,0.3903947194973007,-0.94834426586236797,3.1389162188330664,3.1442126875678076,0.47066290880832823,-1.2757071608742698,1.0581040626326577,1.1477326398650185,0.32490608300361784,1.9128696566382424,0.5173266773978249,3.0760864859381689,-1.1544330472191795,-1.9826200360497459,-0.64909449760522686,-0.23120782320108263,-1.76178578083124,-1.7653222436150535,-3.3801544064721094,-4.5782168263634668,1.0214734321394936,-2.2039041871270166,0.72845580633077778,0.88445487077627338,-0.29914370719995348,-1.0816707963189109,-1.9775553101738914,0.39048799331579359,3.4803926592627539,-0.32863870803918688,-4.1809685582360254,-0.092906569882296008,-0.93725935165490948,0.74785491283331074,0.18445610459242018,1.2826760655203835,-1.2093589657982811,3.7233423834601416,1.2038882618704811,-0.49340949003305284,1.7500769739905373,0.059543306187726575,-1.8433957452019676,-4.282156741066836,0.72548347170744099,0.66199704463873066,1.3617116456786171,-2.2377672547539698,-2.2304728383263575,1.6928121691504494,-0.30780450050439684,-1.2986466044625267,3.625844443396665,0.34684939514193686,-0.9748978966912254,-0.88790789787378155,-0.12677953188028185,-2.02537015621271,0.84438320453558124,-0.21080580894555895,-1.6897497529229148,2.1563965922156347,-1.2289797419747337,2.7292678004065527,-3.7606008404931055,-1.0677769536217674,3.5967497473517431,3.3604943400183691,1.1257096772948281,1.3127427345076577,-0.76174894516076885,-1.2205983752449974,1.3196410780707375,-0.30704352800454943,1.7848413830557839,-2.7273321503838526,1.1913472061911599,-1.5190250033577903,-1.6133187169274315,-1.6711378449639305,1.64319309051428,-1.9469058865746482,2.2391173487463965,-3.567005431099795,-0.79229167644586407,0.58494160528574146,1.1052656417647377,1.0154487734595314,1.4312659149924294,-1.6040673608025535,1.2016483789244667,0.15209474618826063,-1.9866021031579002,-3.9850170964440332,0.46787341143283995,0.12375443632993849,3.3176071291724218,3.3351301794806494,-0.17860732023324816,-0.40273997728433458,-2.2626276368340479,0.15176876838598402,-1.4128768796166404,-1.7225137109002098,1.9167555218497292,0.71580704505834736,0.77422132547292866,0.83087646420393146,-1.174794232293032,0.9538275843420998,-0.67436913196649395,-1.3853454941948875,0.055805141285993176,2.6971456652441992,-1.7222819680413231,-2.036694561882876,0.22020485456380995,-1.0017899626931175,-2.0363965386589991,1.9681576138297097,-0.60229984466638409,2.8106479292670263,0.7931694930354134,1.2149381881514565,-0.59038505498971783,-2.3249888772210108,-1.0659122819146141,-1.3062185401162132,0.43357135187182577,2.4989740496436132,-3.7645094746788965,-0.038051163597963733,0.098663741902448254,1.1280154829779641,3.7040762549201025,-1.1353292817315086,-2.2370138520440088,-0.73369005863275372,-2.0130548829277979,-2.1559827679833399,-0.45105413143243639,-1.5762316340645774,2.6990682726660742,1.4027789479056374,1.7726575976172463,0.37313892850000413,-0.86793092434015118,1.7184003239432351,1.8767610436240212,-1.1653086299141868,-1.5945712680062278,-0.19997534696664659,-0.27938840334024279,0.9043699746886269,-1.3924358243187889,-1.7441013211449607,-2.164802586480044,-1.8035307282647117,-1.8367646092614158,1.1526832824507729,0.50072960014734424,-2.2032118195733057,2.7361378317633642,-1.7908523434838279,0.80211066658888019,0.25911098177824171,-2.3312256688317285,0.96546807344350971,1.5409364348212258,3.214291298941709,1.1345819478789345,-0.99145928566064678,-3.8196928853234278,3.6591691618720068,-2.5635261887749659,3.3964278345862402,0.8544526642123238,-2.1815410012444483,2.2979336624899878,1.2083266025343911,2.6538922434607519,-1.666209256096743,-3.8914845341881739,-3.7873032445153223,1.6922328120032326,3.0861770754614843,0.4213397895852104,-0.360995268269442,-1.2482587451180442,1.9154033308783547,2.0755170231619848,-0.26055273954477159,0.32712042163405569,1.4042644148627297,0.71589305456075825,-1.821381842537783,1.0160376673499123,0.78435095603857197,-1.052843605919741,-2.2612905854424463,0.6890948658743874,-1.8348224515160545,2.9087946062842382,1.6430362110892311,-0.4968474263390526,2.6027874594489111,-1.3492400998314842,-1.486954843445681,-2.07944730465021,-1.1020439023217186,-0.54610196296777569,-2.2726106995781885,1.2273513322630898,-3.0372295731743799,3.5530161505499853,-2.1356568688591944,-1.7008445615014061,1.016341054991819,1.5856625681677834,-0.14174357597436754,0.88299956376943745,2.455823863104917,0.98261817748937763,0.75345029886160053,-1.5385767573555931,1.5969053154746071,-2.8063612336358057,3.5408041125098242,0.98550584371481098,-3.5016446465691553,-0.75427452270593487,-1.2737386578759178,-1.6466327065667137,-1.8502304906090721,-2.3419442528923975,-2.0458758229454981,-1.2706771249016746,1.9913510924139992,3.4627344256201757,-2.2016206139763819,-2.2152846211632715,3.0283591395178808,-0.47989234869088976,0.068220908001996594,-0.77350369636621319,0.50619247014913715,0.83226543124113239,-0.759559070511721,-2.1788525933464991,1.9045886641303078,-3.9743526334008203,2.6428641920844091,0.82426616008672871,1.0060130005637185,-0.90193072502221905,0.99577304180059589,2.2701818590918554,2.87701340969,1.1097865944663063,1.0397622233191506,-1.4801934117516502,2.5116467123785986,1.0542903190413491,-0.10410792176332323,-0.52546677534189068,-2.2278192395409571,1.8003981953421608,3.2558207159796728,-0.13142303173150865,1.5368673449316994,-1.7740826958855613,3.0596899634161963,3.1895594244757666,-0.17401996795739977,0.91778298671636738,1.6361664181509987,-0.73427704517450176,-2.2525081986626612,-2.2196486348351465,0.69169294293317951,-0.46725687925424425,1.1021707301894204,0.53705961461458362,0.62042188103590168,0.86326968129072346,-4.1374972218712793,-0.08763489667978136,-0.55257776920404278,0.70897960122022785,1.4694782143393532,-1.6909764165123924,1.7370013838568703,-1.2234360331734642,1.392500722960569,1.1404010897437111,0.70430269296560444,-0.77642956916894756,0.55308466608915485,-0.35568419639673082,-1.5766607875069603,1.8585914021292702,-3.3035679215630518,-2.3364601487359034,0.90753599460516132,-2.2550762051781641,-1.1180763596734031,0.65383696015272297,1.2952232008734719,-1.9782958382805809,-0.59248397295083843,2.2972430830756201,0.038324529484845715,0.091932917193509656,2.0057422762671484,-4.1635878438195215,-1.8778262490471824,1.3438335901061074,0.043047363118268567,-1.7005379552086815,1.8161207085410134,-0.69823590461816631,-1.9868114346703514,-0.68850151245202862,2.8571991568366064,0.96169736440572895,-2.2192685956200586,2.4049763327399267,0.58710421080980457,1.6121569519797341,-3.7493899220665918,1.4361596947470681,-2.0254648083886133,-1.0320638770302757,-2.194324767037295,-3.3233628625115381,1.1207342391768471,0.93353792484197773,-4.3238962048729883,-2.0157058591088282,1.3689778691092507,2.3818230276862158,-1.6327367181023582,-2.2361541146477686,1.2783063894072548,-0.34779039566125719,-1.6785416955193504,-1.3047206753930076,-4.0978777760704981,1.7616051083365456,1.1861673241415993,0.96773936803732075,0.19234318490419539,-0.61603239719476544,3.5063635950842871,-4.0356600636681543,-2.7837984914025293,-2.2865541333397852,-2.1630576008995996,0.47733135725650938,-0.85122517292108379,3.5315065031806006,1.2911687141219155,0.43814096058998259,2.8295335417548193,1.0183514600554482,-2.0716970318993555,0.074111575440503674,-0.1683719510277733,1.8081029301444069,2.813250506476499,-0.17830512468423693,2.2930901890555395,1.8301757221976296,-2.1124124879082666,-2.3127229565819727,2.3696720248023047,3.7532853728095068,3.6653802042761816,-2.2501683587273584,-1.7157409543236717,2.5517861491004004,1.3657154088774697,1.0044521933356301,-1.9490778798302635,-2.0694294327935205,-1.3766488188942894,1.0883080011168496,3.7152385359564795,0.24303577299509199,-2.3975520486077295,-2.0111916417321192,-2.1207371110161768,1.323900664404966,3.4216956740180029,-2.1676068658074366,0.2165401970902458,0.53535660560522236,-0.029214953823946399,-1.4250539893349632,1.3786654120245949,-2.1199062222680078,-2.290758168145083,2.2367086058417334,2.3664700632849707,1.4042710905829445,1.6668164377966896,-2.2967899197777735,-4.0652792805870996,-0.19649956171121447,-1.7053244466027244,-2.096262490197085,-0.27862081472482531,1.8389694338599221,-0.70852748100366436,0.39061276912037285,-1.4190649146279319,0.61508458311948933,2.6585242396155371,-2.3407025689324366,3.5099353438178076,3.1888248568335547,-1.7592449540337547,2.296513879851438,-1.2292689437111839,-0.55698255245294415,2.4151751642981543,0.8907671218672768,-0.10765579883661119,-1.8264146203240379,2.3196100836554541,-1.9832051152428611,-4.1977947110375391,-1.2108956927498802,-1.2360688800057396,-1.8238900059899315,-0.86720553581323467,-0.027806436463259143,-1.7001874798974022,-1.2176562899788841,2.3941752558508886,-0.45528093521203844,2.2259193306723608,-0.068795179768465442,-0.41647366230096666,1.3449152951994912,-0.54538110439386212,1.3633727675238625,0.85273441131506122,0.24904445763025435,0.6631188338557259,0.4339464550772682,-1.3287616128167137,2.2579960470953955,-1.4042799824913963,0.61381466145906605,2.3593933230200781,0.8688000386515633,1.4263145571509377,-1.6951468342980369,2.7577550059119238,0.17524067516718062,0.9498038535872475,-2.0003671998223291,0.18651787395868452,0.43843322451505812,-3.9814703816613184,0.57061597164068378,-1.5036745423516258,3.0048808699408545,-0.33383670990075914,1.7172023897925393,-1.6321361417016014,0.98652752693090595,1.9697740917960183,1.0880603438178078,-0.53754291479196392,2.773108208731748,-4.2355239743432032,-0.37801322881784288,0.72456821258459247,-2.0279355401238428,0.54893437977228321,3.1907698756018652,3.0268418436804785,3.457516396597959,1.4449412470618264,-3.340039288445376,0.84601234848890461,-1.4419619197091087,2.3569098358908667,-0.14701214973535387,1.4355934506217018,0.62639995868597187,0.99976345355901874,1.2342852001944558,1.2835021858969704,1.2228841429511086,-0.21482173149194567,3.613076413230039,-2.3255999440392481,-0.17167637292947618,-1.5193666571816429,-0.21886805240716783,0.57198853249941028,2.5018155222693457,3.2400831824103369,2.9130816107550634,-2.1386235112389551,-0.26648065988626329,-2.7126224393090235,-0.13236359302606432,-0.18778732959832994,0.67918309028539814,-0.97862473671045147,2.0716530924597754,-1.9102948064049705,-1.6672747487267479,-1.7135117406090721,-2.2741632813652979,-0.32925484125223009,-1.2433543557366356,0.36929347710032018,1.8232771998206154,-1.2759771699151023,1.1154466515341774,-0.021791195317171497,-1.1791127080162986,0.8878723030844704,3.6451568251410498,1.9975769167700783,0.7745423858920113,1.2915099507132546,-1.8756244534691795,-4.3823464268883692,-1.4591155404290184,-3.7586329335412012,-1.5040309781273826,-2.5591385716637598,-1.6513920182427391,1.5046544914999977,-2.0850282067498194,-2.1008479947289453,2.6287481432715429,1.1270150786200539,0.32470682095084341,-2.057024037285708,-1.2075527066430076,-1.065495407029055,0.13675721939001234,1.3079818731108681,-1.2754156941613182,2.884389365271665,1.3640479093352333,2.0701118355551733,-0.37930515949334948,2.5852379446784033,1.2134255414763466,2.5993244295874609,-2.2355978841027246,-1.3153759593209251,-1.8953039998253807,-0.45669290964212267,0.87915643508825458,-1.6264961117943748,-1.0798709744652732,1.6988180523673073,-0.94540134613122784,1.667353714064695,0.037134016112424451,-0.90237275306787335,1.2605692392149941,-1.1737389916619285,0.40754000674281271,1.4392054920950905,-0.45946708862390367,-3.0717862004479395,1.1325286274710671,-0.66270211879815899,2.3558253889838232,0.1166816001692787,-1.7870245331963523,3.0938043242255224,1.4199568873206154,-2.2672367448052393,3.5120024328986181,1.9821776991644875,-1.0933958644112571,-1.7200847024163231,-3.6352956647118555,1.8281238919058815,3.2434551363745703,1.7570126896658913,0.94751032646093525,0.94733711536321796,1.0536057596961037,-3.5108058804711328,1.2466590052405373,0.47824824060592802,-1.6976774090966209,1.6713567620078102,-1.3610468262871727,-0.77255121414270245,-1.1383841389855369,0.02872138674650343,2.4830815439978613,0.88447066600713886,1.9429345970908181,-1.0324172133645042,-2.3510797375878321,-1.4476848000725731,0.26201189513597639,1.1477381830969826,-1.4810302609642967,1.7048794871130959,-0.53395435754861675,1.6828380471030251,0.90038057620916523,-0.99898735229577862,1.2779807096282021,-3.4881890172204004,-1.5146830434044822,-0.72990480606164776,-0.610877429886721,-2.2288358563622461,-1.8078728074273094,2.216438139037229,-1.5956042165001854,1.2107753997603432,3.7306248789587988,1.7515104656973854,-2.2431216592034326,-3.7950709218224512,-0.27807972375955431,-1.5701052302559837,-2.0571282262047754,2.8631963377753271,-0.4825310463150963,1.6426313763419167,-2.0708632821282373,3.3254556303778662,-1.9241636151513084,1.9326098805228249,2.1696555262366308,-1.3984380120476707,-1.1418389434060081,0.19010824914369734,-0.1337219232758507,-2.1535916680535303,2.7292859202185644,-2.2689855450829493,2.4331793432990088,1.0194046741286293,-1.8206553811272606,-3.9941161030968653,-2.0084650868615137,-0.075243359251879138,0.55220734532270588,-0.75211945716943585,-1.5432904118737205,-1.80182484333124,-0.82482949440088116,0.86275687272939838,-3.5396340245446192,1.3238997703352944,0.044734383181668835,-3.2960760945519434,-2.0534053200921045,2.2898159867087378,3.2229990607062353,2.7280842905798925,3.2318439131537451,-1.2646129483422264,-1.4033933037957176,-0.47724065725412218,0.92000427301321186,3.077028000907041,1.6591003781119362,2.000695312575437,-2.0032043809136377,0.43237840588483961,2.5682856684485449,-0.60239753667917095,-2.0061273926934229,0.086906844929792004,-1.5733874196251854,-1.7488398904046043,-2.2866111153801905,-2.2330105656823145,3.6391958838263525,-2.0540738457879053,-1.4164207333764061,-0.025705700560472888,-1.9356620663842186,0.99586179311666645,1.7376130467215554,-2.3733580464562403,-2.0383117551049219,1.4584244137564675,0.66361799295339741,-2.2756264561852442,1.240804219798185,-2.1218195313652979,-0.42767701093759386,-1.2472914809426292,-1.4674115533074363,2.4409746771613134,-2.2123680466851221,-1.3827655667504295,1.845051730231382,-2.5346234196862207,-1.4120872372826561,-1.3125818127831443,-0.012733524485491199,0.95320072229299702,0.21816810424719008,1.9236166125098244,0.075430149392224866,-2.3801901692589746,-1.9588947648247703,-0.29265860263910143,1.6331224089423195,1.1292436962882058,0.88943287189397968,-2.2359147423943506,1.5138283615866677,1.9692984467307106,0.72607460077200092,0.69116958434972919,1.4489907866278664,-0.63467577640619122,1.1443618779936806,-1.4216475838860496,0.54873485322389759,-0.38111028616037218,1.5091299658576027,0.79618325288686909,0.56344146485719837,0.7448875253954903,-4.1484949940880762,-2.3450262898644434,0.51448547299299396,1.9984683638373391,3.2512380724707617,1.1803533678809182,0.071157509640790539,2.7110910063544287,0.73239692504797138,0.9550708180228249,0.3882182344729081,1.0160740857878701,-3.5063732022484766,-2.0848410481652246,3.2758783942023291,2.0168980007926001,1.0070734267989174,0.077136183337308484,3.4548844939032568,0.11523925717268141,1.8868381624976174,-1.9708857888421043,3.0285789614478125,2.9304322844306006,2.6455645209113134],\"text\":[\"Cell:CAGCCGAAGCGATATA
Exp:0
split.by:All_cells\",\"Cell:AGTGTCATCGCCGTGA
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGTTGTAGA
Exp:0
split.by:All_cells\",\"Cell:CACAGTACATCCGTGG
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTCATTGGGCC
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTGTGTGACCC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:ACCGTAACAAGGTTCT
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGGTGGGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGGTCCCTTGT
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTGTCTTCTCG
Exp:0
split.by:All_cells\",\"Cell:CCGTGGACACGAAGCA
Exp:0
split.by:All_cells\",\"Cell:GAACATCAGCAATATG
Exp:0
split.by:All_cells\",\"Cell:TTCTACACAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:ACGGCCACACGTGAGA
Exp:0.876
split.by:All_cells\",\"Cell:CTCGTACAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CGTCTACAGATGCGAC
Exp:0
split.by:All_cells\",\"Cell:CTCACACGTCACACGC
Exp:0
split.by:All_cells\",\"Cell:AAAGCAACACGGTAAG
Exp:0
split.by:All_cells\",\"Cell:CATCGGGCACGTTGGC
Exp:5.63
split.by:All_cells\",\"Cell:ATCATCTGTGTTTGTG
Exp:0
split.by:All_cells\",\"Cell:CAAGGCCCAAGAAAGG
Exp:0
split.by:All_cells\",\"Cell:AGATCTGGTTCGGCAC
Exp:3.432
split.by:All_cells\",\"Cell:CTCTGGTCAAGACACG
Exp:0
split.by:All_cells\",\"Cell:TACAGTGTCCCTAACC
Exp:0
split.by:All_cells\",\"Cell:GGACAGATCAGCATGT
Exp:0
split.by:All_cells\",\"Cell:CACTCCACATATGGTC
Exp:0
split.by:All_cells\",\"Cell:GTTCATTGTTCCAACA
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCCAATAGCAA
Exp:1.213
split.by:All_cells\",\"Cell:TACTCGCTCTTCGGTC
Exp:6.886
split.by:All_cells\",\"Cell:GCTGCTTTCCTCGCAT
Exp:1.352
split.by:All_cells\",\"Cell:GCTGGGTGTCTAGAGG
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:CGAGCACTCTAACTCT
Exp:0
split.by:All_cells\",\"Cell:GATCGTAAGTGCAAGC
Exp:4.718
split.by:All_cells\",\"Cell:TGTCCCAGTCTCGTTC
Exp:0
split.by:All_cells\",\"Cell:CTTGGCTCAGCCACCA
Exp:0
split.by:All_cells\",\"Cell:GGGTCTGGTAAACCTC
Exp:0
split.by:All_cells\",\"Cell:CGGACTGTCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:GGTGCGTTCTGGTATG
Exp:0
split.by:All_cells\",\"Cell:TACCTTATCCGATATG
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCTCTATCGCC
Exp:0
split.by:All_cells\",\"Cell:GTACGTACATCGATGT
Exp:0
split.by:All_cells\",\"Cell:TCGTAGATCTTTACGT
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGAGAGTGAGA
Exp:1.418
split.by:All_cells\",\"Cell:AGCGTATTCTGCTGTC
Exp:0
split.by:All_cells\",\"Cell:GGACAAGTCATAACCG
Exp:0
split.by:All_cells\",\"Cell:ACATCAGTCCTTGGTC
Exp:0
split.by:All_cells\",\"Cell:CCAGCGACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:GGACAGAAGTGGAGAA
Exp:1.208
split.by:All_cells\",\"Cell:GACTACAAGCGTGTCC
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTAGAGCTG
Exp:0.89
split.by:All_cells\",\"Cell:GTTCTCGCAAGTCTAC
Exp:0
split.by:All_cells\",\"Cell:CGAATGTTCTTCATGT
Exp:0
split.by:All_cells\",\"Cell:CCGTGGACATTCCTGC
Exp:0
split.by:All_cells\",\"Cell:CTAATGGAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:AGCGGTCGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:GTATTCTTCACTTACT
Exp:0
split.by:All_cells\",\"Cell:CAGTCCTAGGTGGGTT
Exp:1.702
split.by:All_cells\",\"Cell:CGACTTCCACAACGTT
Exp:0
split.by:All_cells\",\"Cell:AAACGGGTCCGCGCAA
Exp:0
split.by:All_cells\",\"Cell:CTAGTGACATTGAGCT
Exp:0
split.by:All_cells\",\"Cell:CTCCTAGAGAGTGACC
Exp:0
split.by:All_cells\",\"Cell:GCAGTTATCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:CGAACATCAAGCGAGT
Exp:0.808
split.by:All_cells\",\"Cell:GGGAGATAGCGAAGGG
Exp:1.123
split.by:All_cells\",\"Cell:CATCGGGAGGCCCTTG
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGCTGCAAG
Exp:0
split.by:All_cells\",\"Cell:CAGAATCCACGCATCG
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CGGACACTCTATCCTA
Exp:2.947
split.by:All_cells\",\"Cell:CGTGTAATCATTATCC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAAGTTAAGATG
Exp:0
split.by:All_cells\",\"Cell:ATTTCTGTCCCTGACT
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CAGATCACAACCGCCA
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGCATTCCTCG
Exp:0
split.by:All_cells\",\"Cell:CCACGGACAGATGAGC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAAGAAGATTC
Exp:0
split.by:All_cells\",\"Cell:CATGACACAAAGTCAA
Exp:1.077
split.by:All_cells\",\"Cell:AACGTTGTCAGTTAGC
Exp:0
split.by:All_cells\",\"Cell:CTGGTCTAGGTGATTA
Exp:3.747
split.by:All_cells\",\"Cell:TCAGGATTCCAGTAGT
Exp:4.697
split.by:All_cells\",\"Cell:CATTATCGTCATATCG
Exp:0
split.by:All_cells\",\"Cell:GCGCAACAGTGTACCT
Exp:0
split.by:All_cells\",\"Cell:GTGCATACAATAGCAA
Exp:0
split.by:All_cells\",\"Cell:TTTACTGGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:GTAGTCAGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:CCTACACGTTCTCATT
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCTCAACACGT
Exp:0
split.by:All_cells\",\"Cell:CTAACTTGTAGGAGTC
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:GTAGGCCGTTACCAGT
Exp:0
split.by:All_cells\",\"Cell:TCTCATATCAGAGCTT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTGTCATACTG
Exp:0
split.by:All_cells\",\"Cell:GGGAATGTCGACCAGC
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCAGGGTTTCT
Exp:0
split.by:All_cells\",\"Cell:CGGACTGAGGTAGCTG
Exp:0
split.by:All_cells\",\"Cell:CAACCTCTCTCTGTCG
Exp:1.013
split.by:All_cells\",\"Cell:CTGAAACGTTCCCTTG
Exp:6.41
split.by:All_cells\",\"Cell:GTAGTCAGTACTCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCACCTATCC
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTACCGTTA
Exp:0
split.by:All_cells\",\"Cell:TTCTACAAGATCGATA
Exp:0
split.by:All_cells\",\"Cell:TCACAAGCACCGAAAG
Exp:0
split.by:All_cells\",\"Cell:TCGGGACGTCATCGGC
Exp:0.871
split.by:All_cells\",\"Cell:ACGCCAGAGGAACTGC
Exp:0
split.by:All_cells\",\"Cell:CATATGGCATGTTGAC
Exp:0.615
split.by:All_cells\",\"Cell:ATCATCTTCTGTCAAG
Exp:0
split.by:All_cells\",\"Cell:CCGTTCACAGTAGAGC
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTGTGGTCCGT
Exp:0.63
split.by:All_cells\",\"Cell:TTTGTCAGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:ATTATCCAGACCCACC
Exp:0
split.by:All_cells\",\"Cell:CACCACTCAATCTACG
Exp:0
split.by:All_cells\",\"Cell:GCGCGATGTCCGAATT
Exp:0
split.by:All_cells\",\"Cell:CATTATCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGCTAAGAT
Exp:0
split.by:All_cells\",\"Cell:GCGCGATTCGCGTAGC
Exp:0
split.by:All_cells\",\"Cell:CTACATTCACCGTTGG
Exp:0
split.by:All_cells\",\"Cell:TCATTTGCATTGGCGC
Exp:1.581
split.by:All_cells\",\"Cell:AGCAGCCCAGGAATGC
Exp:0
split.by:All_cells\",\"Cell:GGGATGAGTCTGCGGT
Exp:0
split.by:All_cells\",\"Cell:TGCGCAGTCTGCCAGG
Exp:0
split.by:All_cells\",\"Cell:AGCGTATTCTCGTATT
Exp:0.954
split.by:All_cells\",\"Cell:GTCTCGTAGATCTGCT
Exp:0
split.by:All_cells\",\"Cell:CAGAATCGTGTAAGTA
Exp:0
split.by:All_cells\",\"Cell:TGACTTTAGGTCATCT
Exp:1.041
split.by:All_cells\",\"Cell:GTGCATATCAGAGACG
Exp:1.487
split.by:All_cells\",\"Cell:TGGCCAGCACGAAAGC
Exp:0.84
split.by:All_cells\",\"Cell:TGGCGCACAATGTTGC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACGTCTGATCA
Exp:0
split.by:All_cells\",\"Cell:CAGCGACAGATCACGG
Exp:1.002
split.by:All_cells\",\"Cell:AAAGATGAGTGAACAT
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTGTCAGAGGT
Exp:5.384
split.by:All_cells\",\"Cell:ATTTCTGAGAAGATTC
Exp:0.949
split.by:All_cells\",\"Cell:CTCTAATTCACCATAG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTTCTTGTCAT
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGCTAGTCT
Exp:0.712
split.by:All_cells\",\"Cell:CCTAAAGTCATGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCACAGCTGTCTA
Exp:0
split.by:All_cells\",\"Cell:GAAATGACACATGACT
Exp:0
split.by:All_cells\",\"Cell:ACTGAGTAGGCTAGGT
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGAGCTGCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCACAGATCGGA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTTCTGGTGTA
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTCATACTCTT
Exp:0
split.by:All_cells\",\"Cell:ACTATCTGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCGATAGAA
Exp:0
split.by:All_cells\",\"Cell:GTTCTCGCAGCTGGCT
Exp:0
split.by:All_cells\",\"Cell:CATATGGAGGCCCGTT
Exp:0
split.by:All_cells\",\"Cell:ACTGAACAGCCTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGGTGCCT
Exp:0
split.by:All_cells\",\"Cell:CCCTCCTAGACCCACC
Exp:0
split.by:All_cells\",\"Cell:TTAACTCGTCCGAACC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCCATAAAGGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCAAACCAC
Exp:0
split.by:All_cells\",\"Cell:GTTCTCGGTTTGTGTG
Exp:0
split.by:All_cells\",\"Cell:ACATCAGTCCGTTGTC
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCCTTTCTC
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGCCAACAG
Exp:0.985
split.by:All_cells\",\"Cell:AAGACCTAGTAGGCCA
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCACGAGGTA
Exp:0
split.by:All_cells\",\"Cell:GGACAGAAGGCCGAAT
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCCACGTAAGG
Exp:0
split.by:All_cells\",\"Cell:TCCACACCAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:CACACCTGTCGCTTTC
Exp:0
split.by:All_cells\",\"Cell:GGCTCGAGTCGCTTCT
Exp:0
split.by:All_cells\",\"Cell:TGGCTGGCAGTGAGTG
Exp:6.628
split.by:All_cells\",\"Cell:GATGAAACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:TTCTTAGTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TCCCGATGTAAGTGTA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCTGCTGTC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGTGGTAGC
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTAAGAGAG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAGTTCGCTAA
Exp:0
split.by:All_cells\",\"Cell:CCATTCGGTGCTAGCC
Exp:0
split.by:All_cells\",\"Cell:CCACTACTCTTTAGTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTGAAATCA
Exp:0
split.by:All_cells\",\"Cell:ACCGTAATCTATCCCG
Exp:0
split.by:All_cells\",\"Cell:ACTTACTCAATACGCT
Exp:0
split.by:All_cells\",\"Cell:GAACGGATCACAACGT
Exp:0
split.by:All_cells\",\"Cell:CGGTTAAGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:CAAGAAACACTAGTAC
Exp:1.394
split.by:All_cells\",\"Cell:AGTTGGTGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:CGTCCATGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:CAGCTAACAACACGCC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACCATACGCTA
Exp:0
split.by:All_cells\",\"Cell:CTCGTACCAGCCAGAA
Exp:0
split.by:All_cells\",\"Cell:ATTATCCGTATAAACG
Exp:0
split.by:All_cells\",\"Cell:GTACTTTTCAGTTCGA
Exp:6.092
split.by:All_cells\",\"Cell:AGTAGTCCACATGACT
Exp:0
split.by:All_cells\",\"Cell:AGTGAGGTCTGTTGAG
Exp:0
split.by:All_cells\",\"Cell:TCTCATAAGCAGATCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGATCAGGATCT
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCCAAGTCATC
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTACTTCTT
Exp:0
split.by:All_cells\",\"Cell:GTCCTCAAGTTCGATC
Exp:0
split.by:All_cells\",\"Cell:GCCAAATGTAAACACA
Exp:0
split.by:All_cells\",\"Cell:ACTTACTGTTTGGGCC
Exp:0
split.by:All_cells\",\"Cell:ACTTACTCACCGTTGG
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGAGGACCACA
Exp:4.921
split.by:All_cells\",\"Cell:AAGACCTGTGGCTCCA
Exp:7.216
split.by:All_cells\",\"Cell:AACTTTCCACAGTCGC
Exp:0.914
split.by:All_cells\",\"Cell:CAGATCATCTCGATGA
Exp:0.588
split.by:All_cells\",\"Cell:TGTTCCGGTCAGCTAT
Exp:0.897
split.by:All_cells\",\"Cell:GCGCCAAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTTCGCACTCT
Exp:0
split.by:All_cells\",\"Cell:GTAACTGTCAGTGCAT
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:CGCCAAGTCTAAGCCA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCATGTAGC
Exp:0.807
split.by:All_cells\",\"Cell:ATGCGATGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGACAGACC
Exp:0.799
split.by:All_cells\",\"Cell:GTCAAGTAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACAGTCACTA
Exp:0
split.by:All_cells\",\"Cell:TATCTCACATTGTGCA
Exp:0
split.by:All_cells\",\"Cell:CGTAGCGAGACTGTAA
Exp:0
split.by:All_cells\",\"Cell:ACGATGTGTCGCGGTT
Exp:0
split.by:All_cells\",\"Cell:CTCTGGTTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTAGTAAGTAC
Exp:1.404
split.by:All_cells\",\"Cell:CAGAATCCACAAGCCC
Exp:0
split.by:All_cells\",\"Cell:GTAACTGGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AACTTTCGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCAATCCGAT
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCAGTGTCCCG
Exp:0
split.by:All_cells\",\"Cell:TATTACCGTTGAGTTC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCATCAGAGCTT
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCGCCTGAG
Exp:0
split.by:All_cells\",\"Cell:TCGTACCCATATACGC
Exp:0.969
split.by:All_cells\",\"Cell:TGGTTCCGTTGATTCG
Exp:0.55
split.by:All_cells\",\"Cell:AGAGCTTCATTCGACA
Exp:7.327
split.by:All_cells\",\"Cell:GGTGTTACATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CCTCTGACATCGGTTA
Exp:0
split.by:All_cells\",\"Cell:CTCTACGCACTAAGTC
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGGTGAAGGCT
Exp:1.213
split.by:All_cells\",\"Cell:ACGTCAACAGACAAAT
Exp:0.771
split.by:All_cells\",\"Cell:TCGAGGCAGTTAACGA
Exp:0.791
split.by:All_cells\",\"Cell:CAAGTTGTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTACTTGAC
Exp:0.946
split.by:All_cells\",\"Cell:AGAGCTTTCTTGAGGT
Exp:0
split.by:All_cells\",\"Cell:GCACATAAGCAATATG
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGTGACATA
Exp:1.032
split.by:All_cells\",\"Cell:TGTGGTACAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TAAGAGACAGTAGAGC
Exp:0
split.by:All_cells\",\"Cell:CACATTTTCGAGGTAG
Exp:0
split.by:All_cells\",\"Cell:AGACGTTCAATGGTCT
Exp:1.021
split.by:All_cells\",\"Cell:GGAACTTGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGATCTAGCACA
Exp:0
split.by:All_cells\",\"Cell:CGTAGCGTCACTATTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCACTGTGTA
Exp:0
split.by:All_cells\",\"Cell:TGCGCAGTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCGGAATCT
Exp:1.046
split.by:All_cells\",\"Cell:ACTGATGGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CAGTAACAGCCACCTG
Exp:0
split.by:All_cells\",\"Cell:ACTGATGAGTGCAAGC
Exp:0
split.by:All_cells\",\"Cell:CTGCTGTGTTGTGGCC
Exp:0
split.by:All_cells\",\"Cell:GAGTCCGCAATTGCTG
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTAGCGTAATA
Exp:0
split.by:All_cells\",\"Cell:GTCATTTGTCTCAACA
Exp:0
split.by:All_cells\",\"Cell:GACTAACCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:GGTGAAGAGCAGGTCA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGTCTGATACG
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTCACCGAATT
Exp:1.009
split.by:All_cells\",\"Cell:CAGGTGCAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAAGCTACCTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCGTGCAGACA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGAGTTTGCGT
Exp:0
split.by:All_cells\",\"Cell:TCTATTGCAGTAAGCG
Exp:0
split.by:All_cells\",\"Cell:TTGGCAATCGGATGGA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGAGTCATCCA
Exp:0
split.by:All_cells\",\"Cell:CACCACTTCAGCTTAG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAGTATCGCAT
Exp:0
split.by:All_cells\",\"Cell:ACGGGCTAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAGTGTATGGG
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTCAGAAGC
Exp:3.032
split.by:All_cells\",\"Cell:GATCGATAGAAAGTGG
Exp:1.214
split.by:All_cells\",\"Cell:TGCGGGTTCCAGGGCT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGTCCTACAGA
Exp:0
split.by:All_cells\",\"Cell:AGGGATGTCGCATGGC
Exp:0
split.by:All_cells\",\"Cell:TGCCCTACAATCACAC
Exp:0
split.by:All_cells\",\"Cell:CCCATACTCGTGGACC
Exp:0
split.by:All_cells\",\"Cell:GACTAACCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:TCACAAGAGCCACTAT
Exp:1.004
split.by:All_cells\",\"Cell:GGCAATTTCACATGCA
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCAGGAATGGA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:GCATGTAAGAATCTCC
Exp:0
split.by:All_cells\",\"Cell:GTTACAGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:GTTCGGGAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGTCTGGAGCC
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCGTTTAGG
Exp:0
split.by:All_cells\",\"Cell:GCATGCGCAAATTGCC
Exp:0
split.by:All_cells\",\"Cell:TCAACGACACCATCCT
Exp:0.432
split.by:All_cells\",\"Cell:CCTCTGATCATGTCTT
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCTTCTGGC
Exp:0.935
split.by:All_cells\",\"Cell:CTCAGAATCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:CGTCCATCATGGTAGG
Exp:0
split.by:All_cells\",\"Cell:TTAGTTCCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCAACACGT
Exp:0
split.by:All_cells\",\"Cell:CAGCAGCAGAGGTACC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGGTTCTCATT
Exp:0
split.by:All_cells\",\"Cell:CTAGCCTGTGCGATAG
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGGTCTCCACT
Exp:0
split.by:All_cells\",\"Cell:GCATGATCATGCATGT
Exp:0
split.by:All_cells\",\"Cell:TACGGTATCCCATTTA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGAAGCTAGGCA
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTCGAGTTT
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTACGAAAT
Exp:0
split.by:All_cells\",\"Cell:GTATTCTTCAGGTAAA
Exp:0
split.by:All_cells\",\"Cell:TACCTATGTAACGTTC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGCAACGATGG
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTTCAGCACAT
Exp:0
split.by:All_cells\",\"Cell:TGCCAAACATGACATC
Exp:0
split.by:All_cells\",\"Cell:CTAAGACGTACTCTCC
Exp:0.84
split.by:All_cells\",\"Cell:CGATGGCTCAGTGTTG
Exp:0
split.by:All_cells\",\"Cell:CCAGCGACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:TGAGAGGAGCCAGGAT
Exp:6.437
split.by:All_cells\",\"Cell:AGAGCGACACAACTGT
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTTCCTTTCGG
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGTCCGGTC
Exp:1.029
split.by:All_cells\",\"Cell:GGGATGATCTGTCCGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACATCCTAGA
Exp:0.845
split.by:All_cells\",\"Cell:GCACATATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:CATCCACCAGATGGGT
Exp:0
split.by:All_cells\",\"Cell:TGCCCTATCATAAAGG
Exp:1.015
split.by:All_cells\",\"Cell:ACTGTCCAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCACTTCC
Exp:0
split.by:All_cells\",\"Cell:GACAGAGCAGTCAGAG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTTCAGTCCCT
Exp:1.127
split.by:All_cells\",\"Cell:AATCGGTGTCACACGC
Exp:0
split.by:All_cells\",\"Cell:TACGGATAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGCAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:CCACGGAGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTATTG
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCACCAGGCT
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:CACCAGGGTACCTACA
Exp:0
split.by:All_cells\",\"Cell:GGCCGATTCAGAGACG
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCTAAGCCA
Exp:0
split.by:All_cells\",\"Cell:GACTGCGGTCGCCATG
Exp:0
split.by:All_cells\",\"Cell:GAATGAACAGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:CGCTGGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTAATGGCATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGATCAATCTCT
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTTCGTACGGC
Exp:0
split.by:All_cells\",\"Cell:TTCCCAGAGGATTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTCATCTCCCA
Exp:1.023
split.by:All_cells\",\"Cell:GTGCGGTAGTGAATTG
Exp:0
split.by:All_cells\",\"Cell:TACCTATGTCCAACTA
Exp:1.117
split.by:All_cells\",\"Cell:TACTTGTAGACAAAGG
Exp:0
split.by:All_cells\",\"Cell:GTCCTCACACCACGTG
Exp:0
split.by:All_cells\",\"Cell:TAAACCGCATTCCTCG
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:TCAGCTCAGGCTATCT
Exp:4.589
split.by:All_cells\",\"Cell:CACAGTAGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGCACACATGT
Exp:0
split.by:All_cells\",\"Cell:ACGGCCACACGCTTTC
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCATTCCTGC
Exp:0.916
split.by:All_cells\",\"Cell:CTCAGAATCAGGTTCA
Exp:0.96
split.by:All_cells\",\"Cell:TGAGGGACAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:TACGGTATCTTTCCTC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGAGCGTTGCC
Exp:1.006
split.by:All_cells\",\"Cell:CAGCGACCACAGGAGT
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGCTTGC
Exp:0
split.by:All_cells\",\"Cell:GTCACGGCATACTACG
Exp:1.042
split.by:All_cells\",\"Cell:AAGGCAGTCCGAGCCA
Exp:0
split.by:All_cells\",\"Cell:GGACAGATCCTGCAGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTCCATCCT
Exp:0
split.by:All_cells\",\"Cell:AACTTTCCACTGCCAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTCATGCCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGAGTGCACCAC
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTGACTCAT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTGCGGCA
Exp:0
split.by:All_cells\",\"Cell:GGCGACTCACCAGGTC
Exp:1.152
split.by:All_cells\",\"Cell:GGGACCTAGCTGCCCA
Exp:0.946
split.by:All_cells\",\"Cell:AATCGGTCAAACAACA
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTACATCCA
Exp:0
split.by:All_cells\",\"Cell:CATGGCGAGAGTCTGG
Exp:0.925
split.by:All_cells\",\"Cell:CGTGTAATCGTTGACA
Exp:0
split.by:All_cells\",\"Cell:CGATCGGAGCTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGCACCTAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:GAACGGACAAGGTGTG
Exp:2.012
split.by:All_cells\",\"Cell:TTGTAGGGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGGGTGAAGGTGCAAC
Exp:0
split.by:All_cells\",\"Cell:CTACACCCAGGGCATA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCGTTATCCGA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCTCTTGCATT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTCCAGG
Exp:5.419
split.by:All_cells\",\"Cell:AAGTCTGGTCTCCATC
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTGTGTAAGTA
Exp:0
split.by:All_cells\",\"Cell:CGCTATCAGGTGATAT
Exp:0
split.by:All_cells\",\"Cell:AACTCTTAGCTAACAA
Exp:3.24
split.by:All_cells\",\"Cell:GTGTGCGGTAGTACCT
Exp:0
split.by:All_cells\",\"Cell:GGGTCTGCAGCAGTTT
Exp:7.232
split.by:All_cells\",\"Cell:CGTAGGCCAACACCCG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACTCTACCTGC
Exp:0
split.by:All_cells\",\"Cell:CATCGAAAGATGTTAG
Exp:0
split.by:All_cells\",\"Cell:GCAATCACAGCTGCTG
Exp:0
split.by:All_cells\",\"Cell:AACACGTAGTAATCCC
Exp:3.323
split.by:All_cells\",\"Cell:GATCTAGCATCACCCT
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTTCGG
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAGTTAGAACA
Exp:0
split.by:All_cells\",\"Cell:GAGCAGAAGCCAGTTT
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGGTAAGTAGT
Exp:2.854
split.by:All_cells\",\"Cell:GGACAGAGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGGATATAC
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTATAATGG
Exp:0.872
split.by:All_cells\",\"Cell:CTTCTCTCATGCGCAC
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:GTACTCCGTAGCGATG
Exp:0
split.by:All_cells\",\"Cell:CTGTGCTCAGCTCCGA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCAAGAAGT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACACGGTAAG
Exp:0
split.by:All_cells\",\"Cell:CAACCAAAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAAGTGGTAAT
Exp:0
split.by:All_cells\",\"Cell:CGAATGTAGTTCCACA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGACAATCGGTT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCCAGTATG
Exp:1.169
split.by:All_cells\",\"Cell:TTCTTAGTCGGCGCTA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCTGACCTC
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTCCACTC
Exp:0.599
split.by:All_cells\",\"Cell:TAAACCGAGGATGGAA
Exp:0
split.by:All_cells\",\"Cell:CTTACCGCAAAGTCAA
Exp:0.601
split.by:All_cells\",\"Cell:CGGTTAATCGTCTGAA
Exp:0
split.by:All_cells\",\"Cell:CTCGTCATCGGTCTAA
Exp:0.913
split.by:All_cells\",\"Cell:GTTAAGCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAATCTGCA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGCGTCTAT
Exp:0.92
split.by:All_cells\",\"Cell:TGGACGCGTATTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCACGGAAGATCCTGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTTTAGGG
Exp:0
split.by:All_cells\",\"Cell:CAGTAACCATGCCTAA
Exp:0
split.by:All_cells\",\"Cell:AGTAGTCAGCGTTCCG
Exp:0.991
split.by:All_cells\",\"Cell:ACGAGCCCACCTTGTC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTGTATATCCG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACGCGTAGACGCACA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTGTGATAAGT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCACAAGCCC
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCGGCACA
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGTCTTTACGT
Exp:0
split.by:All_cells\",\"Cell:CATCAGATCATCGCTC
Exp:0
split.by:All_cells\",\"Cell:CTTGGCTCATCCCACT
Exp:2.167
split.by:All_cells\",\"Cell:AGCATACGTCGCGAAA
Exp:7.686
split.by:All_cells\",\"Cell:CTTAACTGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:GTTTCTATCAACGGCC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAGTGACAAAT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCGTTATGTGC
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTAGGTGCTAG
Exp:1.656
split.by:All_cells\",\"Cell:GAATGAACAATCGAAA
Exp:0.772
split.by:All_cells\",\"Cell:CCTACACAGATCCGAG
Exp:0
split.by:All_cells\",\"Cell:GATGCTACAAGCGCTC
Exp:0
split.by:All_cells\",\"Cell:GTTACAGTCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGACCTTTG
Exp:0
split.by:All_cells\",\"Cell:GACTACACATATGAGA
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAAGTGGTCCC
Exp:0
split.by:All_cells\",\"Cell:CGTTAGATCAGTCAGT
Exp:0
split.by:All_cells\",\"Cell:GTGCTTCTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:GATGAGGAGAAACCTA
Exp:0
split.by:All_cells\",\"Cell:GAAATGATCTTCAACT
Exp:0
split.by:All_cells\",\"Cell:GCTCCTAGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCATGCAAC
Exp:0
split.by:All_cells\",\"Cell:CGACCTTCACACAGAG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTACGCACC
Exp:1.289
split.by:All_cells\",\"Cell:GCACTCTTCCGGCACA
Exp:0
split.by:All_cells\",\"Cell:GTACTCCTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:CACATAGTCATTGCGA
Exp:0.786
split.by:All_cells\",\"Cell:CTGAAACGTATGGTTC
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCAGTCTCAAC
Exp:0
split.by:All_cells\",\"Cell:CCTTTCTTCTTCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACGTAGCGCAA
Exp:0
split.by:All_cells\",\"Cell:TTGGAACGTCCGTTAA
Exp:0
split.by:All_cells\",\"Cell:CATTATCAGCTCCCAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGTCCATAACCTG
Exp:3.085
split.by:All_cells\",\"Cell:GTGCAGCTCGTTTATC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACCTCAGCGTGAAC
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACCGTTA
Exp:3.313
split.by:All_cells\",\"Cell:CGATTGAAGTTAGCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:GGACGTCCAGTATCTG
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGTCGGAT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGGTCATCT
Exp:0
split.by:All_cells\",\"Cell:CAAGGCCTCGTACCGG
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:GCAAACTTCGGAATCT
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCACGGTGTC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTTGGACCC
Exp:4.949
split.by:All_cells\",\"Cell:CTCGAGGTCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCATCGGAT
Exp:0
split.by:All_cells\",\"Cell:TGGTTAGCAGTCGTGC
Exp:1.205
split.by:All_cells\",\"Cell:CTCTAATAGTTATCGC
Exp:0
split.by:All_cells\",\"Cell:AACTCTTAGCTGCGAA
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCACGAAGG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTGTAGTGAAT
Exp:0
split.by:All_cells\",\"Cell:GGGTTGCTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:ATCCGAACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:TTCTCAATCACTCCTG
Exp:1.152
split.by:All_cells\",\"Cell:ACTGATGTCCCTAACC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTGTCTAAACC
Exp:1.364
split.by:All_cells\",\"Cell:TCGCGAGTCGACGGAA
Exp:0
split.by:All_cells\",\"Cell:AAATGCCAGACTAAGT
Exp:0.615
split.by:All_cells\",\"Cell:TACGGGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCATTTGCCC
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGTCGCCGTGA
Exp:1.045
split.by:All_cells\",\"Cell:CACATAGAGGGAAACA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGCATCGTCGG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGCAGTACACT
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCTCAACCATG
Exp:0
split.by:All_cells\",\"Cell:GTGTTAGAGTTTCCTT
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTAGTACTTGC
Exp:0
split.by:All_cells\",\"Cell:CACATTTGTATAGTAG
Exp:0
split.by:All_cells\",\"Cell:GTGCATAAGAATGTTG
Exp:0
split.by:All_cells\",\"Cell:GGACATTAGAAACCAT
Exp:0.754
split.by:All_cells\",\"Cell:TCTCTAAGTGGCAAAC
Exp:0
split.by:All_cells\",\"Cell:ACGATACTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGCACGAAATA
Exp:0
split.by:All_cells\",\"Cell:CATGACACATCCGCGA
Exp:1.373
split.by:All_cells\",\"Cell:ACGGGTCAGGGTGTTG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTTCGGCGCAT
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCGTGCGATAG
Exp:0
split.by:All_cells\",\"Cell:CGTTGGGGTTTAAGCC
Exp:0
split.by:All_cells\",\"Cell:AACTCAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTAGATCGATA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGTCACAATGC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:ATGCGATAGAAACGAG
Exp:0
split.by:All_cells\",\"Cell:TATGCCCTCTTCCTTC
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCGGAAACG
Exp:0
split.by:All_cells\",\"Cell:CGATGGCCAACTGGCC
Exp:1.586
split.by:All_cells\",\"Cell:CAGCCGAGTAGCCTAT
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTGGTGTAG
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCTCAAACG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCCAAGTAC
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCAGCAACGGT
Exp:0
split.by:All_cells\",\"Cell:CCTACACCATTATCTC
Exp:0.975
split.by:All_cells\",\"Cell:CTGAAACTCTGTTTGT
Exp:0
split.by:All_cells\",\"Cell:CCATGTCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CAGCCGAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGACGGCGTCAGGACA
Exp:1.083
split.by:All_cells\",\"Cell:ACTGATGCACATGACT
Exp:0
split.by:All_cells\",\"Cell:ATCATCTGTAGGACAC
Exp:2.988
split.by:All_cells\",\"Cell:ATCTGCCGTCATATGC
Exp:0
split.by:All_cells\",\"Cell:TACACGAAGATCCCAT
Exp:0
split.by:All_cells\",\"Cell:CATCCACGTTACGACT
Exp:0.789
split.by:All_cells\",\"Cell:AGATCTGCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCAATCCAAC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTCAATGAAAC
Exp:1.016
split.by:All_cells\",\"Cell:GTGCTTCTCACGACTA
Exp:0
split.by:All_cells\",\"Cell:GATCGTACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGAACAACT
Exp:0
split.by:All_cells\",\"Cell:CTACACCCATCAGTCA
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCATCAGTTCGA
Exp:0
split.by:All_cells\",\"Cell:ATAGACCAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACACGCAGTATGACA
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCCATGATCCA
Exp:0
split.by:All_cells\",\"Cell:CGTCTACTCAGTCCCT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTCACTACAGT
Exp:0
split.by:All_cells\",\"Cell:GATCAGTTCCCGGATG
Exp:0
split.by:All_cells\",\"Cell:GATCTAGGTGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGGTCAGATAA
Exp:0.751
split.by:All_cells\",\"Cell:CTCGTACGTTGGTTTG
Exp:0
split.by:All_cells\",\"Cell:TTGGCAATCGAACGGA
Exp:0.652
split.by:All_cells\",\"Cell:CATCGAAGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTCAACTGT
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTCAAAGTGCG
Exp:0
split.by:All_cells\",\"Cell:GAAGCAGGTCTAGAGG
Exp:5.828
split.by:All_cells\",\"Cell:CCCAGTTGTGCGCTTG
Exp:0
split.by:All_cells\",\"Cell:ATTCTACGTTTAGGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAATGCACATTTCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCCTGCTTG
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGAGCCCAA
Exp:0
split.by:All_cells\",\"Cell:GTGCAGCGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACGTTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTTCATTCACT
Exp:0
split.by:All_cells\",\"Cell:GATGCTATCCCTCTTT
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCACGCCAGT
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTTCTGATTCT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTCACGAGGTA
Exp:0
split.by:All_cells\",\"Cell:TCTATTGGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:TCACGAACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:CGAACATTCACAAACC
Exp:0.49
split.by:All_cells\",\"Cell:TCTATTGTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGACACTAA
Exp:2.984
split.by:All_cells\",\"Cell:GCGAGAAGTGGGTATG
Exp:1.181
split.by:All_cells\",\"Cell:TTCTCAAAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGTCTGTTGAG
Exp:0
split.by:All_cells\",\"Cell:ACATACGAGCTATGCT
Exp:0
split.by:All_cells\",\"Cell:ACGATACAGTCATCCA
Exp:6.233
split.by:All_cells\",\"Cell:ACGCAGCGTTCATGGT
Exp:7.114
split.by:All_cells\",\"Cell:TTAACTCCACGAGAGT
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGAGGCACATG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATTCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAATCGCAAACT
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGCATACTCTT
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATATGGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGCGTGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCCGCGCAA
Exp:0
split.by:All_cells\",\"Cell:CCTTCCCCAAAGTGCG
Exp:0
split.by:All_cells\",\"Cell:GTAACTGAGCCGGTAA
Exp:0.875
split.by:All_cells\",\"Cell:AGCATACCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:CATCAAGGTGGTCTCG
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTGTCTCGTTC
Exp:0
split.by:All_cells\",\"Cell:CTGATAGAGCTCAACT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCTCGTCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCTCCAACC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAACATGGTCTA
Exp:0
split.by:All_cells\",\"Cell:GTTCATTAGGGTCTCC
Exp:0
split.by:All_cells\",\"Cell:GCGACCATCACCAGGC
Exp:0
split.by:All_cells\",\"Cell:GTACTTTCATGGTCAT
Exp:0
split.by:All_cells\",\"Cell:TCAGCAAAGCGATGAC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAGACCATCTTATCTG
Exp:0
split.by:All_cells\",\"Cell:AGACGTTAGCCGATTT
Exp:0
split.by:All_cells\",\"Cell:GAACCTACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:CCAATCCAGAGTAAGG
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTACAGTTC
Exp:0
split.by:All_cells\",\"Cell:CAGGTGCGTACAAGTA
Exp:0
split.by:All_cells\",\"Cell:GCTCCTATCTCACATT
Exp:0
split.by:All_cells\",\"Cell:TATCAGGCACCAGTTA
Exp:0
split.by:All_cells\",\"Cell:TGCTACCCATAAGACA
Exp:1.186
split.by:All_cells\",\"Cell:GATTCAGAGTACGTTC
Exp:0
split.by:All_cells\",\"Cell:CGGACTGCATCCCATC
Exp:0
split.by:All_cells\",\"Cell:GCGCCAACACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:AGGTCATTCTGCGTAA
Exp:0
split.by:All_cells\",\"Cell:CTACCCAGTCAAACTC
Exp:0
split.by:All_cells\",\"Cell:TGGCCAGAGCTACCTA
Exp:0.59
split.by:All_cells\",\"Cell:TGTCCCACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGAGGAATTAC
Exp:3.35
split.by:All_cells\",\"Cell:TACAGTGAGCGTTTAC
Exp:3.851
split.by:All_cells\",\"Cell:CGATTGAAGTCTTGCA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCGTCACAAGG
Exp:0
split.by:All_cells\",\"Cell:GTCTCGTCACGTGAGA
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTCAGCATACT
Exp:0
split.by:All_cells\",\"Cell:GCTTGAACATTTGCTT
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTTCGCTTAGA
Exp:0.701
split.by:All_cells\",\"Cell:GATCAGTAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:GTACTTTAGATATGCA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGTCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:TCAGATGGTAGATTAG
Exp:0
split.by:All_cells\",\"Cell:TGTCCCAAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCTCAGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CTAAGACTCACTCCTG
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCTTAGAGC
Exp:0.807
split.by:All_cells\",\"Cell:CACACCTCATTGTGCA
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTAGCGTAG
Exp:1.009
split.by:All_cells\",\"Cell:ACTGAACAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGATGGGTC
Exp:2.366
split.by:All_cells\",\"Cell:GGAAAGCGTACGCACC
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CCCTCCTGTCTAACGT
Exp:0.984
split.by:All_cells\",\"Cell:TTAGGCAGTGTGAATA
Exp:0
split.by:All_cells\",\"Cell:TCGGTAACAGGGTACA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTCACCGAATT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTAGGAGTC
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGACGCTTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCTTCAAG
Exp:0
split.by:All_cells\",\"Cell:ATAAGAGTCCACGTTC
Exp:0
split.by:All_cells\",\"Cell:GATCGTAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTAAACT
Exp:0
split.by:All_cells\",\"Cell:CACCACTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCCACTCTGTC
Exp:0
split.by:All_cells\",\"Cell:GCATGTATCACGATGT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGATGGGTC
Exp:0
split.by:All_cells\",\"Cell:CGCGTTTGTATTACCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCAGGTGTTAA
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCAGAGGTG
Exp:0
split.by:All_cells\",\"Cell:TTCGAAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGGTGATGCCC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGTCCAGAGGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGACAGTAAGAT
Exp:0
split.by:All_cells\",\"Cell:CATCGAAGTAGCGTCC
Exp:0
split.by:All_cells\",\"Cell:TGGACGCTCTTGTTTG
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGGTCACCTAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAAACGCGA
Exp:2.831
split.by:All_cells\",\"Cell:CGTCACTGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:GCGACCACACGTTGGC
Exp:0
split.by:All_cells\",\"Cell:CCATGTCGTTTGCATG
Exp:0
split.by:All_cells\",\"Cell:TGCCAAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGGTAGCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGAGAACAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACTAGAGCTTCGCG
Exp:0
split.by:All_cells\",\"Cell:CGGACTGCAGCCAATT
Exp:1.714
split.by:All_cells\",\"Cell:GACCAATAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:GGACGTCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:AGGTCCGAGTTACCCA
Exp:0.999
split.by:All_cells\",\"Cell:GGAAAGCGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:CCGGGATGTACCGCTG
Exp:0.641
split.by:All_cells\",\"Cell:CATCCACAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:CGCTATCCAGGCAGTA
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACACTGTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTTCTCGTATT
Exp:0
split.by:All_cells\",\"Cell:CGGACGTAGACAGACC
Exp:0
split.by:All_cells\",\"Cell:AGTTGGTTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTCCAGTAT
Exp:1.515
split.by:All_cells\",\"Cell:TATGCCCAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATGACATC
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGCACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:ACCCACTTCTGAGGGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCTCGTTGCCT
Exp:0.932
split.by:All_cells\",\"Cell:ACGATGTTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TGACAACTCGCACTCT
Exp:0
split.by:All_cells\",\"Cell:GACGCGTCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CATATGGTCAACACAC
Exp:0
split.by:All_cells\",\"Cell:AGTGGGAGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ATTGGTGTCCAGTATG
Exp:0.784
split.by:All_cells\",\"Cell:GATGCTAAGCGATAGC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:TTCTCAACAGTTTACG
Exp:0
split.by:All_cells\",\"Cell:TCACAAGAGCATGGCA
Exp:0.99
split.by:All_cells\",\"Cell:GGAATAACACGACGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAGATGTTAAAGAC
Exp:5.46
split.by:All_cells\",\"Cell:AACTTTCGTGACCAAG
Exp:0.904
split.by:All_cells\",\"Cell:CGAGAAGCACTTACGA
Exp:0
split.by:All_cells\",\"Cell:AACTCCCAGTACGACG
Exp:0
split.by:All_cells\",\"Cell:CGTTAGAAGTATCTCG
Exp:0
split.by:All_cells\",\"Cell:CCTATTACAAACGTGG
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTAGATCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCATTCGCAAGCCATT
Exp:0
split.by:All_cells\",\"Cell:GTATCTTGTACTCAAC
Exp:0
split.by:All_cells\",\"Cell:TGCTACCCAGGGCATA
Exp:0
split.by:All_cells\",\"Cell:GGAACTTAGGTTACCT
Exp:1.035
split.by:All_cells\",\"Cell:AGATTGCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACGTTCAGTAC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCATCACATAGC
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGAGGAATGGA
Exp:0
split.by:All_cells\",\"Cell:ATTATCCCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCAACTGCGC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCAAAGAATC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTAGTCTCGGC
Exp:0
split.by:All_cells\",\"Cell:TCTGGAAGTCATCGGC
Exp:0
split.by:All_cells\",\"Cell:AAATGCCCACCAACCG
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCGCTTGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGTTACACCTCGGA
Exp:6.15
split.by:All_cells\",\"Cell:CTCGAGGCAAGTCTGT
Exp:0
split.by:All_cells\",\"Cell:CGGACTGTCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTCAAATTGCC
Exp:0
split.by:All_cells\",\"Cell:ATTGGTGGTACTTGAC
Exp:0.906
split.by:All_cells\",\"Cell:GCCTCTAAGAGTTGGC
Exp:0.949
split.by:All_cells\",\"Cell:CGGCTAGGTAACGACG
Exp:0
split.by:All_cells\",\"Cell:AAAGATGAGTCATGCT
Exp:0.938
split.by:All_cells\",\"Cell:GTACTCCCACGTCTCT
Exp:0
split.by:All_cells\",\"Cell:TTGAACGAGGAATCGC
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCGATAGAA
Exp:0
split.by:All_cells\",\"Cell:CTCTAATTCAGCGACC
Exp:0
split.by:All_cells\",\"Cell:TATGCCCAGAACAATC
Exp:1.023
split.by:All_cells\",\"Cell:AACCATGGTTGAACTC
Exp:0
split.by:All_cells\",\"Cell:CAGCATAGTAATAGCA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTTCCTCAATT
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCTGGCGAC
Exp:1.168
split.by:All_cells\",\"Cell:ATCACGATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:GAGCAGAGTTTGCATG
Exp:0.722
split.by:All_cells\",\"Cell:TGCACCTAGATAGTCA
Exp:1.147
split.by:All_cells\",\"Cell:CAGCCGAAGTGACTCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCTGGTATG
Exp:0.654
split.by:All_cells\",\"Cell:AGCTCCTAGTACACCT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGCGATGAC
Exp:0.562
split.by:All_cells\",\"Cell:TCCACACTCACGATGT
Exp:0
split.by:All_cells\",\"Cell:TCAGATGCACGACGAA
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCAACACTG
Exp:0
split.by:All_cells\",\"Cell:CTTAGGACATCTATGG
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAAGTAGATGT
Exp:1.399
split.by:All_cells\",\"Cell:ATCTACTGTGAACCTT
Exp:0
split.by:All_cells\",\"Cell:CGATGTAGTGGTACAG
Exp:0
split.by:All_cells\",\"Cell:CTAGCCTGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTGAGTGT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTGACAT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCTCCATGAGT
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAGTACCGAGA
Exp:0.993
split.by:All_cells\",\"Cell:ACTGAGTGTTTCGCTC
Exp:1.02
split.by:All_cells\",\"Cell:AGAGCGATCTCTTGAT
Exp:0
split.by:All_cells\",\"Cell:GAAGCAGTCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:GTCGTAAAGGTGATTA
Exp:0
split.by:All_cells\",\"Cell:CACACTCAGGCGCTCT
Exp:0.998
split.by:All_cells\",\"Cell:TGGGAAGGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CGCGGTACATTAGGCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAAAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTGTTCGTCTC
Exp:0
split.by:All_cells\",\"Cell:CTGGTCTTCGTTACAG
Exp:0
split.by:All_cells\",\"Cell:TCTCTAAAGCTGGAAC
Exp:1.688
split.by:All_cells\",\"Cell:CGGTTAAAGTAGCGGT
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CCTTACGCAAGGTGTG
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCACGAAGCA
Exp:6.434
split.by:All_cells\",\"Cell:CAACCTCGTCTAAACC
Exp:0
split.by:All_cells\",\"Cell:AGCGGTCGTACCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTCGTCATCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:GGCCGATGTCAAACTC
Exp:0.859
split.by:All_cells\",\"Cell:TTCTACAGTGTTGAGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGAGCGCCTTG
Exp:0
split.by:All_cells\",\"Cell:GATCGATCAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TTGGCAACATCATCCC
Exp:6.189
split.by:All_cells\",\"Cell:TTTATGCTCCATTCTA
Exp:1.042
split.by:All_cells\",\"Cell:AACTTTCAGGCATTGG
Exp:0.98
split.by:All_cells\",\"Cell:GCCTCTAGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCAGATGGCGT
Exp:0
split.by:All_cells\",\"Cell:TACGGTAGTGTGCCTG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCAGATATGCA
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTTCGTGGGAA
Exp:1.244
split.by:All_cells\",\"Cell:AAGCCGCAGGAGTTGC
Exp:0
split.by:All_cells\",\"Cell:CTGAAACAGGAGTAGA
Exp:1.064
split.by:All_cells\",\"Cell:CATGGCGAGCCCTAAT
Exp:0.973
split.by:All_cells\",\"Cell:ACATGGTCAAGGACTG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCTCTAGC
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCAAAGAATC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTAGCCACCTG
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCACAGGCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGTCATCGATG
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGGTGTGGT
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACACGGCCAT
Exp:0
split.by:All_cells\",\"Cell:CGTGTAATCCATGCTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGCATCAGTAC
Exp:0
split.by:All_cells\",\"Cell:GGGATGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTCGTACGTTCCGTCT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGACATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ATCTGCCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGAGCAATT
Exp:0
split.by:All_cells\",\"Cell:CACACAACACACTGCG
Exp:0
split.by:All_cells\",\"Cell:TAGGCATTCGTTGCCT
Exp:0
split.by:All_cells\",\"Cell:TCTCTAATCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:ACACCCTGTCAGATAA
Exp:0
split.by:All_cells\",\"Cell:AGATCTGTCGATCCCT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTTCTCGCTTG
Exp:0
split.by:All_cells\",\"Cell:CTACGTCAGTCTCGGC
Exp:0
split.by:All_cells\",\"Cell:CATCCACTCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TCTCATACAGATCTGT
Exp:0
split.by:All_cells\",\"Cell:CACACCTCACTGCCAG
Exp:0
split.by:All_cells\",\"Cell:CTCGTACCAATGGATA
Exp:0
split.by:All_cells\",\"Cell:ACACCAAAGTAGGCCA
Exp:0
split.by:All_cells\",\"Cell:TACACGAGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGTATTGGA
Exp:0
split.by:All_cells\",\"Cell:AGACGTTTCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTGTGAATA
Exp:6.287
split.by:All_cells\",\"Cell:GCACTCTGTCTGCAAT
Exp:0
split.by:All_cells\",\"Cell:TGTGGTACAAGACGTG
Exp:0
split.by:All_cells\",\"Cell:AGGCCGTCACGACGAA
Exp:0
split.by:All_cells\",\"Cell:TATGCCCTCTTACCTA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTCACGGACAA
Exp:1.548
split.by:All_cells\",\"Cell:GTCGGGTGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCGTAGGTT
Exp:0
split.by:All_cells\",\"Cell:CGTCTACGTTTCCACC
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCAGACATAAC
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGAGTGGAGAA
Exp:0
split.by:All_cells\",\"Cell:CTGATAGTCGGCTACG
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACGTCCATCCT
Exp:0
split.by:All_cells\",\"Cell:CATGACAGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:GACCAATAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:CAGCGACCATATGGTC
Exp:1.128
split.by:All_cells\",\"Cell:TGCTGCTGTCCGTCAG
Exp:0
split.by:All_cells\",\"Cell:TCAGATGCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:TATCAGGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:GGGAATGGTCGGCTCA
Exp:0.847
split.by:All_cells\",\"Cell:TAGTTGGAGTCAAGCG
Exp:0.954
split.by:All_cells\",\"Cell:TACCTATTCGTTACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGAGGGAAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTTCCTTTCGG
Exp:0.593
split.by:All_cells\",\"Cell:TGATTTCAGTGGAGTC
Exp:0
split.by:All_cells\",\"Cell:CTAACTTAGATCACGG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAGTCCGAATT
Exp:1.335
split.by:All_cells\",\"Cell:GAAATGATCGTCCGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCCACTCCA
Exp:6.131
split.by:All_cells\",\"Cell:GTTCGGGAGGCAATTA
Exp:1.659
split.by:All_cells\",\"Cell:GCGCCAATCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:AGTGGGATCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:CGACTTCGTTGATTCG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTAACGACG
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCTCTTCCTTC
Exp:7.138
split.by:All_cells\",\"Cell:ACTGATGGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:AAGGAGCAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:TACTTACGTGTGGCTC
Exp:0
split.by:All_cells\",\"Cell:ATGCGATTCGCGTAGC
Exp:0
split.by:All_cells\",\"Cell:ATTGGACAGTCAAGGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGTCCGCTGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTAGACGCACA
Exp:0
split.by:All_cells\",\"Cell:ATGAGGGGTTCTGGTA
Exp:0
split.by:All_cells\",\"Cell:CGACCTTAGCTGCCCA
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTGCCTGCA
Exp:1.097
split.by:All_cells\",\"Cell:GCTCTGTAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:GTATTCTAGGTGCTTT
Exp:0
split.by:All_cells\",\"Cell:TCTGGAATCGGTGTCG
Exp:0
split.by:All_cells\",\"Cell:GACGTTAAGACGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCGTAGAGGACGG
Exp:0.672
split.by:All_cells\",\"Cell:ATGAGGGCAAGGTTTC
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTCAAAGCAAT
Exp:1.222
split.by:All_cells\",\"Cell:CATCGGGTCATTTGGG
Exp:2.378
split.by:All_cells\",\"Cell:ACATACGGTAAACACA
Exp:1.008
split.by:All_cells\",\"Cell:CTGCTGTGTTATCACG
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTAGTGCCATT
Exp:0
split.by:All_cells\",\"Cell:CCACGGAGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:CCATTCGCATGAAGTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCTGCTGCT
Exp:0.872
split.by:All_cells\",\"Cell:ACGATGTTCTGCTGCT
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTCACCATCCT
Exp:0
split.by:All_cells\",\"Cell:TAGTTGGGTACCGTAT
Exp:0
split.by:All_cells\",\"Cell:GCGCAACCAACACCTA
Exp:0
split.by:All_cells\",\"Cell:CCAGCGAGTACCGTAT
Exp:0.797
split.by:All_cells\",\"Cell:AGCGTATCATCTCCCA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCCTGTAGA
Exp:1.277
split.by:All_cells\",\"Cell:GGAAAGCTCTCGGACG
Exp:0
split.by:All_cells\",\"Cell:ACTGATGGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:GTAACGTCAGCCTATA
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCTAACTCT
Exp:0
split.by:All_cells\",\"Cell:GAAATGACATCTACGA
Exp:0.855
split.by:All_cells\",\"Cell:GTGTGCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TCTCATAGTTACCAGT
Exp:0
split.by:All_cells\",\"Cell:ACGTCAACACGGTGTC
Exp:1.356
split.by:All_cells\",\"Cell:ACTGATGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:TGTATTCCAATGACCT
Exp:0.598
split.by:All_cells\",\"Cell:AGGGAGTAGCTAGCCC
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGAGCTGGT
Exp:0
split.by:All_cells\",\"Cell:GGCAATTTCCGAATGT
Exp:0
split.by:All_cells\",\"Cell:GATCGTAGTCCTAGCG
Exp:0.701
split.by:All_cells\",\"Cell:TGAGCATCAAGCCGCT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACAGTGG
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTAGCAGGCTA
Exp:0
split.by:All_cells\",\"Cell:CCACTACGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:GGAAAGCAGGCATGGT
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTAAAGTCA
Exp:0
split.by:All_cells\",\"Cell:TAAACCGAGTCGTACT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGTCATCGCTC
Exp:0
split.by:All_cells\",\"Cell:CACCACTCACGAAATA
Exp:0
split.by:All_cells\",\"Cell:CGTAGGCTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:TCGCGTTTCTCTGCTG
Exp:0
split.by:All_cells\",\"Cell:GGACAAGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGCCCAGCT
Exp:0
split.by:All_cells\",\"Cell:TCACGAATCCTATGTT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTGGCTCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:ATAACGCAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:ATTCTACTCAGGTAAA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCCAAGCGTAG
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGGCGTG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAAGTCCGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGAATGAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CACAGGCTCAAGATCC
Exp:1.194
split.by:All_cells\",\"Cell:ACGAGCCAGTTCGCAT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTTCGCCATAA
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGAGTACCG
Exp:0
split.by:All_cells\",\"Cell:AGCCTAAAGCCCAACC
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:AGTGGGACAGTATCTG
Exp:0
split.by:All_cells\",\"Cell:CAACCAATCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:TGTCCCATCTTGACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCCATCAGTCGTGC
Exp:0
split.by:All_cells\",\"Cell:GTTTCTAGTCCTCTTG
Exp:0
split.by:All_cells\",\"Cell:GCACATACATTACGAC
Exp:0
split.by:All_cells\",\"Cell:ATGGGAGTCGGTTCGG
Exp:0
split.by:All_cells\",\"Cell:ATAAGAGTCCGAACGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCGAAGCTTCGCG
Exp:0
split.by:All_cells\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.87627452505493453,0,0,0,0,5.6298344785551917,0,0,3.4318927716865226,0,0,0,0,0,1.2133996752021774,6.8863884030564817,1.3522593762829056,0,0,0,4.7180091753826536,0,0,0,0,0,0,0,0,0,1.4175396885494673,0,0,0,0,1.2080246642368548,0,0.89008556501282066,0,0,0,0,0,0,1.7017070563516157,0,0,0,0,0,0.80830034771650705,1.1225042100928397,0,0,0,0,2.9465555933751828,0,0,0,0,0,0,0,0,1.0773404439212901,0,3.7465893999204338,4.6973766816695575,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.0128594247284151,6.4100702978542996,0,0,0,0,0,0.87139399335249101,0,0.61462791779182424,0,0,0.63022879389110731,0,0,0,0,0,0,0,0,1.5809383714395906,0,0,0,0.95374266355120374,0,0,1.0406888009504409,1.4867512592977243,0.84019947302087228,0,0,1.0022611579964082,0,5.3838662644037614,0.94896309719237015,0,0,0.71159438044482071,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.98543581922139767,0,0,0,0,0,0,0,0,0,6.6284993164500721,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.3939554986947349,0,0,0,0,0,0,0,6.0918725538269625,0,0,0,0,0,0,0,0,0,0,0,4.9206717423143003,7.2157755020672649,0.91428543362499481,0.5877155626392595,0.89742473889890884,0,0,0,0,0,0,0.80699214243868445,0,0.79923561626434947,0,0,0,0,0,0,1.4042984633847209,0,0,0,0,0,0,0,0,0.96931028411198716,0.54993354012258144,7.3272800641773079,0,0,0,1.2128182558075358,0.77071234804779842,0.79104077540998308,0,0,0.94567677673161155,0,0,1.032469395575333,0,0,0,1.021196356378167,0,0,0,0,0,0,0,1.0459286400024403,0,0,0,0,0,0,0,0,0,0,0,0,1.0091889777894387,0,0,0,0,0,0,0,0,0,0,0,3.0322973465941638,1.213649046084377,0,0,0,0,0,0,1.004449284717891,0,0,0,0,0,0,0,0,0,0,0,0.43167864954755164,0,0.93502183238512626,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.84034919194483326,0,0,6.4365381824725763,0,0,0,1.0292210133614934,0,0.84547345851286804,0,0,1.0153225148239047,0,0,0,1.127279729788248,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.0226763629472266,0,1.1173577438413458,0,0,0,0,4.5890672000776895,0,0,0,0.91590090923851564,0.96016336428788329,0,0,1.006427463443158,0,0,1.0421121707289513,0,0,0,0,0,0,0,0,1.1519957492279849,0.94567677673161155,0,0,0.92498815173192594,0,0,0,0,2.0116023783171677,0,0,0,0,0,5.4193729651171694,0,0,0,3.239848146014245,0,7.2316723806817214,0,0,0,0,3.3230885795743523,0,0,0,0,2.8539712990737973,0,0,0.87220339987194351,0,0,0,0,0,0,0,0,0,0,0,1.168999547848254,0,0,0.5993587058508304,0,0.60091734922642137,0,0.91321182887844676,0,0,0.91978492182607452,0,0,0,0,0.99147336914563378,0,0,0,0,0,0,0,0,0,0,2.1665334151719362,7.6856115775337406,0,0,0,0,1.6558038329920262,0.77215033120619725,0,0,0,0,0,0,0,0,0,0,0,0,0,1.2887148540684685,0,0,0.78593496187979373,0,0,0,0,0,0,3.0851433727617685,0,0,0,3.3129269921354418,0,0,0,0,0,0,0,0,0,4.9490396223967199,0,0,1.2053980215623117,0,0,0,0,0,0,1.1515517866236538,0,1.3636296676280373,0,0.61497895397427071,0,0,1.0454499165973181,0,0,0,0,0,0,0,0,0,0.75358655593192048,0,0,0,1.3733478759233073,0,0,0,0,0,0,0,0,0,0,0,1.5856553295390896,0,0,0,0,0,0.97451917011161227,0,0,0,1.0832516085436159,0,2.9878043908630678,0,0,0.78933110441286702,0,0,0,1.0155470764830179,0,0,0,0,0,0,0,0,0,0,0,0,0,0.75103591274236681,0,0.65177749580418498,0,0,0,5.8282565385163707,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.48970311399278116,0,2.9835851249142049,1.1807533782365882,0,0,0,6.2328736171499184,7.1138729807242758,0,0,0,0,0,0,0,0,0,0,0,0.87537541459707802,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.1857815173595507,0,0,0,0,0,0.59028644300949717,0,3.3495515898265613,3.8508929841636514,0,0,0,0,0,0,0.70073255194920192,0,0,0,0,0,0,0,0.80726718314111323,0,1.0087460326577822,0,2.3655768817662874,0,0,0.98365048305765057,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.8309573859626229,0,0,0,0,0,0,0,0,1.7138173987519436,0,0,0.99921505419020895,0,0.64113472037368935,0,0,0,0,0,0,1.5146846114272625,0,0,0,0,0.93221137493966544,0,0,0,0,0,0.7841836641684663,0,0,0,0.99019567208348713,0,5.4601001157450622,0.90384397182861509,0,0,0,0,0,0,0,0,1.0353886390763518,0,0,0,0,0,0,0,0,0,0,0,6.1503206526909384,0,0,0,0,0,0.90612271031731961,0.94886609062671501,0,0.93822906076465018,0,0,0,0,1.0232468372056946,0,0,0,1.1678537109942153,0,0.72150604512001415,1.1468396634338254,0,0.65398554985623958,0,0.56204801505165158,0,0,0,0,0,1.3989899366586993,0,0,0,0,0,0,0.99296852700923943,1.0196076935926301,0,0,0,0.99824019858334512,0,0,0,0,0,1.6880958603864995,0,0,0,6.4342841844280407,0,0,0,0,0.85881378322758406,0,0,0,6.189418374764041,1.0415185850879953,0.98010067069653617,0,0,0,0,1.2435541480171437,0,1.0642326957735531,0.97298089185342818,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6.2870875675840789,0,0,0,0,0,1.547767221842776,0,0,0,0,0,0,0,0,0,0,0,0,1.1279857976487269,0,0,0,0.84714550845394376,0.95423328540303509,0,0,0,0.59309780923218569,0,0,1.3348831839077311,0,6.1307731990250875,1.6588962618979448,0,0,0,0,0,7.1378837650236795,0,0,0,0,0,0,0,0,0,0,1.0968819541488015,0,0,0,0,0.67217738144145867,0,1.2215212745673165,2.3784869580120596,1.0075301025879813,0,0,0,0,0.8715557469389994,0,0,0,0,0.79728743981254224,0,0,0,1.276660057955822,0,0,0,0,0,0.85475728169107568,0,0,1.3556689090117737,0,0.59813988594398526,0,0,0,0.70134685195065383,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.1938945904110732,0,0,0,0,0,0,0,0,0,0,0,0,0,0],\"colorbar\":{\"title\":{\"text\":\"Ghrl\",\"font\":{\"color\":\"black\",\"size\":14}},\"len\":0.5},\"size\":1.5,\"showscale\":true},\"name\":\"All_cells\",\"showlegend\":true,\"visible\":true,\"inherit\":true}},\"layout\":{\"margin\":{\"b\":40,\"l\":60,\"t\":25,\"r\":10},\"title\":{\"text\":\"All_cells (nCells:1000)\",\"font\":{\"size\":16,\"color\":\"black\"},\"y\":0.94999999999999996},\"showlegend\":true,\"legend\":{\"itemsizing\":\"constant\",\"y\":-0.20000000000000001,\"x\":0.5,\"xanchor\":\"center\"},\"scene\":{\"xaxis\":{\"title\":\"StandardpcaUMAP3D_1\",\"range\":[-6.5008796387948093,4.953642970915884]},\"yaxis\":{\"title\":\"StandardpcaUMAP3D_2\",\"range\":[-5.430299611890689,6.5767537633534516]},\"zaxis\":{\"title\":\"StandardpcaUMAP3D_3\",\"range\":[-4.5793383473595606,3.8996264582434668]},\"aspectratio\":{\"x\":1,\"y\":1,\"z\":1}},\"updatemenus\":[{\"y\":0.67000000000000004,\"buttons\":[{\"method\":\"update\",\"args\":[{\"x\":[[-5.6886261636056004,3.4359456366263332,-5.3666280442513523,3.7621866530142727,-5.872935169342905,-6.1831148797310886,2.2261005705557766,2.4181076353751125,3.398643142577261,4.2351423567496242,3.9708577460013332,2.1073290175162258,2.9162017172537746,3.7651683157645168,-5.3833645516671238,-5.1829670602120457,3.8295599287711086,1.5391832655631006,-5.4914945298470554,3.8172012633048,2.793688661452383,2.0342673128806057,3.9640418356619778,2.4987086123190823,3.6219369238577785,0.99059940039739014,-5.4327911073006687,4.2884904211722317,2.9429088896475735,4.0921779936514797,-5.3985317879952488,-2.0335786277092991,4.3770376509390774,4.0545412367545071,4.1104151076041164,3.2023011511527004,0.38131273448094727,-5.9616588288582859,2.6003462141714992,2.5475879973135891,3.3667727774344387,-5.5798309975899754,3.030913478728384,3.847624904509634,4.0858694380484524,3.9018045729361477,4.1920338934622707,-2.6897437506951389,4.0187827414236965,-4.206093185547739,3.6923328703604641,2.1945270365439358,3.9449616736136379,3.8722015684805813,2.2298027342520657,-4.7807520562447605,-2.6104623013772068,4.3668023413382473,3.7688914602957668,3.2212067908011379,3.7928448981009426,-0.54905425846949218,4.0713917082510891,-5.9773162537850437,-5.0173948937691746,3.3210197752676907,3.708708888884634,4.2753692930899563,-5.7239893609322605,1.6613651579581201,4.114228851195425,-1.8538612061776221,3.6917172735892239,4.8378187483511867,-4.9453610116280613,-0.83209495336189865,3.3578559225760403,-5.2147434884347019,-5.35839688122645,4.3068496054373684,4.8751646345816555,4.1845375364981594,4.1118885344229641,4.1085463827811184,4.2631312674246731,-5.3330701524056492,4.57820618807897,2.0549773043356838,3.2613741224966946,-5.9224170380868015,3.6750012701712551,-5.5498193436898289,2.2872663801871242,3.8686019247733059,3.7571336096487942,0.098260707255452884,3.8851114577017727,-5.919978969696909,-5.3041442567147312,4.1570006674490871,3.8757530516348782,3.4961906737051907,-6.1821497613228855,2.6465786761008205,-5.32397305310145,-2.8081093961037693,1.0950797861777246,2.9624165362082424,-5.6242302590645847,-5.2006577187813816,4.4909569090567532,-5.503446930054575,-5.8125513726510105,-4.4374476605691013,4.3201953238211575,2.3921674555502834,4.0995417898856106,-5.3745692902840672,-6.37182461560145,3.8413716620169582,2.2736622160635891,-5.2250226670540867,3.4526020353995266,-5.3119543725289402,2.6745559042654934,3.217281944151968,-6.477021091584116,-5.1964877778328953,3.3088890379630032,-6.1476582223214207,-5.6930960351265965,3.70802796542272,3.3083731001578274,-5.8063710862435398,4.3496514624319973,3.6548677748404446,3.8021856611929836,-5.7689450913704929,2.4691897696219387,-5.2924097710885105,-5.8526018792428074,-5.672373645905405,-5.6623295480050144,4.1558662718497219,-4.8945668870247898,3.2827888792715969,-5.5241459542550144,4.3123055762015285,3.2845560377798977,-1.624504380825907,-5.9470547372139988,3.8091121977530422,-5.6904171639718113,3.6057592695914211,-4.3515030080117283,-5.7528332406319675,3.2486630743704739,4.1241923636160793,2.8195403879843655,4.6197644537650051,3.9772955244742336,3.7943307226859035,2.5913709467612209,3.9710031813345852,3.8011189764700832,3.296350604888052,4.3865267103873196,3.8908783262930813,3.3374468153677883,-4.4706221753396092,3.2570606535635891,3.8364697760306301,4.2860552138052883,2.4976972407065334,-6.2177075082100925,4.953642970915884,3.0680788820944729,-5.4631804162301121,-1.3357294732369482,4.1042176550589504,4.063956863280386,3.5586420363150539,4.2045790022574367,-5.9334925347603855,-5.5754865342415867,-2.4768989020623264,-5.7706888848580418,-1.037919633988291,4.0581241911612453,2.435252553816885,2.3759418791495266,2.7511712378226223,3.2716742819510403,-6.1108916932381687,2.4087811773978176,4.309628135558218,4.9434748953543606,4.0921040838919582,-5.7354863816536961,4.7850753134451809,1.5081285303793848,3.1360293692313137,-0.72175849691405891,3.5372740095816555,2.3448590105734768,3.9707208937369289,2.9682651823721828,0.64330697714909912,3.1923199957571926,3.8910366362296047,3.86671937167272,-3.0602270299233494,-5.4041060143746433,-5.8222106629647312,-5.4442418748177586,-1.4495434695519507,-5.7719706231392918,4.0788031882010403,2.8299533194266262,3.8279835051260891,2.2619544333182278,-4.2111350232399998,-6.4100536042489109,4.3074675863943996,4.2125812834464016,3.278535491820425,4.8723198240958157,3.7191401785574856,0.23066902815923096,4.1810804671011867,2.9881712263785305,2.3492690390311184,-5.6914991074837742,4.1613327330313625,2.7096418207846584,1.9107128447256982,4.1415544813834133,3.9326931303702297,-6.0249489480294285,-5.4014824563302097,4.0656186407767239,3.9642750090323391,0.70927036463841797,4.6895667380057278,4.2933746641837063,-5.2602528268136082,4.1233750647269192,2.7530199354849758,-5.8193434411324558,-6.1109894448556004,-1.0728792184628546,-5.458196514252573,3.6278320616446438,-5.9495462113656101,3.2712379759512844,2.9602612322531643,2.2454253500662746,-5.9845112496651707,-3.1521202260293064,3.6474958723746242,-6.0393150979317722,-5.7518080407418308,-5.7148393327035008,-2.0283108884133396,3.2670952147208157,-5.9730290108956394,-6.0209578210152683,2.3493365114890041,-5.3508690530098972,2.1166299647055569,-5.8466519051827488,-5.1293190652169285,4.5781961744986477,-5.8394626313485203,-6.0309356385506687,4.4323755568228664,-5.3975976640023289,3.7564607924185696,-5.6858676606453953,-5.7005304032601414,2.5634144610129299,4.5063401526175442,4.1718541449271145,4.540925628539175,-4.5778638058938084,-4.364221208695322,3.5970946615897121,2.1566151446066799,-6.0058206254281101,3.7745324438773098,3.1083837813101711,1.3716536825858057,-5.9610012704171238,3.0642060106955471,-5.7542136842049656,3.4612490004263821,3.6092368429861965,-5.5800021821297703,3.1013876265250149,-6.3277510339058933,2.3361758059225979,2.6442028349600735,3.6401864355765285,-5.8642514878548679,-6.03074156582728,4.1436320608817043,-5.7518442803658543,3.8260375326834621,1.272380716200918,-5.3374651604928074,-5.1970995599068699,3.797756797667593,3.2268775767050686,-5.1002482110299168,1.0198576515875757,0.31130755602940918,0.48062289416417481,4.2756167715750637,-5.9069336587227879,3.9822994536124172,2.7996984785757961,3.729941970702261,4.0360781019888821,4.5250836676321926,-5.6807621651925144,-5.7964295083321629,-6.2621782952584324,4.3417240446768703,3.8146392172537746,-2.3665174180306492,2.9567765063010158,3.9070087736807766,-5.3787101441659031,4.0860859221182766,-5.9691227608956394,3.6438437765799465,3.4250918692313137,-4.2681220704354343,3.875729209776968,-5.8648399049080906,-5.5565107995308933,3.5692497557364407,3.9789401358328762,-5.6811984711922703,4.2586289709769192,1.7590841120444238,3.5297552412711086,2.3529039686881008,-6.1315530473031101,3.7280699080191555,-5.3548949891366062,3.2782713240347805,-6.2212966614998875,3.5055633848868313,-5.4770072633065281,-0.9730303221978247,3.6990600889883938,3.7497507399283352,-5.3982642823494968,-5.8888567620553074,3.8859354323111477,3.5195432966910305,-3.8963805371560154,1.8053032225333154,1.4098991221152246,3.5934301680289211,2.5643507307730617,2.7622026270590725,3.8044158285818996,-5.9591859513558445,4.1719976729117336,3.64369691073522,-5.4930647546090183,-5.7994507485665379,-5.3392757111825047,3.3259717291556301,-5.4468868905343113,-6.3571780854500828,3.2842856711111965,2.3560041254721584,-5.2326768571175633,3.7973028486929836,3.8533784216605129,-6.110382907990366,-5.2379931145943699,4.0392576521597805,-5.8231190377511082,1.1200755900107324,4.1074754065237942,2.8175944155417385,4.5524135893546047,-5.6430138284005222,-0.59149248242750763,-3.3063419991768894,-0.87759719878807663,-0.5074914628304541,4.0615278547964992,4.4845186537466946,-6.1248058015145359,2.3313630884848537,-6.0432237321175633,4.2014442747794094,3.8849631613455715,-3.2771187955178318,4.2126609152518215,3.7082096403799953,4.0735517805777492,4.3654242819510403,1.9640537565909326,2.6016289061270657,3.8542548483572903,3.0065325564108791,4.0419470137320461,4.1198397940360012,-6.0586279565133152,-5.1990746194161472,4.7570358580313625,3.9814606970511379,-0.085499518517404782,2.8601588076315823,2.3237930601798,3.5537105864249172,4.019373065825552,3.6876221960745754,-5.7977875405587254,-5.6799820596016941,4.0421482390128078,-5.2353085213936863,4.1839581793509426,3.8697253531180325,-5.2171081239022312,3.1247845953665676,-5.2775639230050144,4.3466187781058254,4.229857570525259,-5.8318871194161472,-4.0895787411965427,3.4561802214346828,-0.86872646302357315,-5.2169026070870457,-5.7484263116158543,2.4695133036337795,-5.0677164727486668,-5.508423679474741,-5.7000273400582371,-2.384531849030405,1.4761222666464746,3.864562160369009,-3.9497762852944431,4.8315531080923977,3.0862537687979641,-5.9344409638680515,-3.4777868920601902,0.21113300978764893,4.840610629912466,4.8818041151724758,-6.0327304536141453,4.0719081228934231,2.6357158487997951,4.2293235129080715,3.840809947844595,3.3152538603506985,3.6268993681631985,3.0060921972952785,4.0086442297659817,-5.1835802727974949,2.4848958319388332,-6.2344092065133152,-5.5369199448861179,-6.3334220582284031,-6.2132896119393406,-5.066432827118784,-1.4480543667115271,3.3920031851492825,4.4146901434622707,-5.7791112595833836,3.1617196863852444,-3.8526743584908543,-5.9049895936287937,3.5681854551993313,3.6677147215567532,-5.6211966210640965,3.6967369383536282,4.1724149054251614,3.472437030669302,-4.7719811135567722,3.929534084197134,2.6585174864493313,2.4152344530783596,-5.0892194443978367,3.7046052283011379,3.3906790083609524,4.7917453116141262,2.8252738779745998,4.0964404410086575,3.8458415335379543,-6.1054814988411961,1.3883909052573145,2.5578230684958401,4.1579734152518215,3.1511603659354153,-5.3443311387337742,-3.804554575089365,3.9519139593802395,-5.7158354455269871,3.0774141615591946,3.7683998411856594,-5.7632640534676609,3.9628754919730129,-5.5107792550362644,3.9301687544547024,4.6595903700552883,4.1110025709830227,-5.9925340348519383,-4.9079335862435398,-6.0116313630379734,4.0381800001822414,-5.4791096383370457,4.6404048269949856,-5.9147142106331883,3.2200423544608059,4.5811253851614895,2.5719155138693752,-5.3072446519173679,3.4785252875052395,4.7884126967154446,4.8735128706656399,0.93153310477361084,-5.5963596040047703,1.4240881270132959,4.1605702704153957,4.401481277342886,4.4116336172781887,2.2761439150534573,-5.4898661309517918,-5.9866064721383152,0.052783197756856692,4.2244850462637844,3.0144556826315823,-5.5977681809701023,-6.0059684449471531,-5.1179498368538914,-5.9642866784371433,4.755299693938345,-5.2662986451424656,-5.939667575959116,2.5774887865744533,3.598171836730093,3.0617722338400783,-5.761318081025034,3.9120718306265774,2.3118149107657375,-0.94558409691229461,4.7828432387076321,-5.7654126817025242,0.027312404509633792,4.2756439512930813,1.9600929087363184,-1.161150538329035,2.0367411440573635,-5.0087841683663425,3.975620395537466,3.1880821055136623,2.7272015875540676,4.3192216223441067,3.8340650862418117,2.8559435671530666,3.5511461561881008,-1.1332349711693823,-5.4355901414193211,-3.4096795254983006,2.4791776007376614,4.6648203200064602,4.1341716116629543,2.2596844500266018,-2.2627447778023777,-5.6280082398690281,3.6935759848318996,0.045447177287191165,-4.5587662392891941,4.2700878447256985,3.568332797881216,0.053109652396291507,-5.3360952073372898,2.4490696257315578,4.8878732985220852,-5.5685132676400242,-6.0200279885567722,2.4781998461447658,-5.3996018105782566,3.8232137030325832,2.8570469683371487,3.0393348997794094,-5.3638433152474461,-4.6927961045540867,-5.9462650948800144,-6.0231627160347996,-5.7078756028451023,4.3533126181326809,3.3287721937857571,-5.3460568124093113,4.0853062933646145,3.2402073210440578,-6.1529258424080906,3.6316906279288235,3.9792114561758938,-5.3954003983773289,-5.3247002297677097,4.1878510779105129,3.7272607153616848,-1.2834967309273779,-4.200078838471323,4.2237268751822414,3.784641391631216,3.8982225722037258,-3.4720481568612156,3.3765975302420559,-5.1755126649178562,4.7304683989249172,4.2413960760794582,-5.0755652123726902,-5.8730138474740086,0.63916409670934082,-5.2855743104256687,-5.9280646973885593,-5.8428872758187351,3.1702209776602688,-1.5372922354973853,3.2740551298819485,3.9582825964652004,-5.8968070679940281,-5.4941357308663425,3.8447271650992336,-5.9965819054879246,3.6187459295950832,-5.6920345956124363,4.2110291784964504,-1.2227924102582037,-4.1958619290627537,3.6590329474173489,4.1788326567374172,3.7835108107291164,4.2851477926932278,-4.472365968827158,2.32739413439855,3.7456418341360989,-5.5271786385811863,-1.2761777573861182,2.6533113783560696,4.0993858641348782,3.3688551253043117,3.51955140292272,0.9623799389563501,-6.0224155122078953,-4.9960721665658054,-4.1175070935524998,3.8025161093436184,4.1205469435416164,-5.2678822213448582,-5.5907281571663914,-5.6040223771370945,3.7243415182791653,3.85278475939855,-5.5447462731637058,-5.2768815690316258,-1.0130716794766486,3.7916637724600735,-1.6983771258629858,2.3243960207663479,-5.9584807091988621,-5.6282089883126316,-0.42723717630282043,-5.5163015061654148,3.1376510924063625,-5.6191514664925633,-5.7415689164437351,4.206941253539175,-5.2534431153573093,3.9675642317496242,-6.0725492173470554,1.9586480921469629,4.1869531935416164,-6.2223313981331883,3.8577367132864895,3.9003025358878078,-5.4860662156380711,-5.8056019479073582,3.5305005377493801,-6.1973417931832371,-5.3344272309578953,-5.4571069413460789,3.975402004119009,3.6755405729971828,3.9099475210867825,4.2384554213248196,0.26568508803471924,-5.1797989541329441,3.2572733229361477,4.3663502997122707,-5.3959749871529636,-5.925296180848032,-5.6979926759041843,2.9078658884726467,3.1994730299673977,-5.936590068940073,4.2089210814200344,-6.0896280938424168,3.9946595495902004,0.054381198283284915,3.6767584150992336,3.7615333861075344,4.8140150374136867,-6.4130009347237644,-5.9415091210640965,2.0899595087729397,-5.3260720902718601,3.7020202940665188,-1.6567391091622412,-5.5412248307503758,-5.6700743371285496,-5.2964433366097508,-5.8124340707100925,-5.5755661660470066,2.9057635134421291,3.9530860251151028,1.3539816206656397,4.2713748282156887,3.7435547178946438,-5.8213099175728855,2.9427110022269192,4.6808501547537746,3.6478635138235989,4.4028011625967922,4.4463373488150539,-6.1728409463204441,-5.7990935975350437,-5.689214580658823,-5.6546972924508152,1.1747036045752466,-5.5775760346688328,-5.4664224320687351,4.2264033621512356,-5.6370757752694187,4.0269590681754055,-5.3465093308724461,3.6384803122244778,3.0052238768301907,-5.3552411729134617,-6.0912598305977879,3.7730208700858059,3.4275070494376125,3.6208459204398098,-5.9925941163338718,-5.4850720101632175,-5.6369341546334324,-4.8173636132515965,3.9032551115714016,-5.7200759583748875,2.9863430327139797,4.0981928175650539,3.4018317526541653,4.6671968764029446,3.8511496847830715,1.6804815596304834,3.8968588179312649,3.834314472075552,3.5979048079214992,4.4432860678397121,4.7364717787466946,-5.3801878625191746,2.2328699892722073,-5.7004131013192234,2.710779315825552,3.4951072996817532,3.1732744044028225,-5.6688474351204929,4.6734758681021633,3.1907359427176418,-2.8448234730996189,3.9047581022940578,4.7213956183157864,3.4439202612601223,3.2129169768057766,-5.8644889527596531,3.3282324141226711,3.5844150847159328,4.6877924269400539,-5.7232388192452488,-5.2029036217965183,-5.2021268540658054,-5.2785514527596531,3.6263157194815578,2.479031211730093,3.5073601072989407,-5.2538922959603367,-3.0699297124184666,-6.25950133145228,-0.72990534544363617,3.7311569517813625,-5.8988321954049168,-5.7185310059823093,-5.4856384927071629,-5.2154592210091648,1.5948706930838525,-5.2093313866890965,-5.3409093552865086,-6.0478628808297215,3.8831917113028469,-6.3964275056160984,3.9812675780020657,4.1653372114859524,2.3977209395132961,2.9845653837881985,4.4032703703604641,3.4935313528738918,2.7370964354239407,3.7417784994803371,-5.8190969163216648,4.1854006117545071,3.6822696989737453,-4.2920180493630467,-5.8522084885872898,3.5731941527090969,1.7521566218100488,-5.8279870682992039,2.7569011515341701,4.248017913695425,4.098847991820425,-5.4763725930489597,4.1806789702139797,4.0674892729483547,4.1557580298148098,2.5360230272971096,-5.1990946465767918,3.1759957140646877,3.3869148558340969,4.0969482725821438,3.3270999258719387,-6.1945279771126804,-5.7646449738778172,-5.7636789017952976,-5.1860245400704441,4.5106087988577785,4.19380677401647,1.4348169630728662,3.0483075445853176,1.3041571444235742,3.0737329786978664,-5.1791127854622898,1.1023757523261011,4.0267154043875637,-6.0973647767342625,3.6752859419547024,3.9452782934866848,1.7036799257956445,-5.7025231057442722,2.6535900896750393,0.59107614218816162,2.3053306406699123,3.3949061697684231,-4.742568605545908,-5.3095802003182468,4.11096347033605,3.2922116583548489,-5.3414553338326511,-5.8058999711312351,3.946593410369009,-5.8377684289254246,2.3679226702414455,2.9427760904990139,1.3651951616965234,-2.5972028905190525,4.2035375899039211,3.466514236327261,-5.7322076493538914,-2.0195505553521214,-5.7662848168648777,-5.9279640847481785,4.3577228850089016,4.2267390555106106,-5.7661789590157566,3.7150350874625149,-5.8282102280892429,4.1812874144278469,-3.0853332215584812,-5.0930021935738621,-4.6041163140572605,-5.9298237496651707,4.4462629622183742,-1.1161883407868445,2.9753459757529201,-1.4426591330803931,-5.3608812028206883,3.1076239412985744,-5.6868876153267918,-5.4807642632760105,-0.39783977806940674,3.6715747183524075,-6.0093773537911472,2.7764593428336086,-5.3116773301400242,4.1185156172476711,2.7369030779562893,-5.5967267686165867,4.0319467848502102,4.0021592444144192,4.0022865599356594,-5.8418825799264011,1.6526974505148828,1.1953849858008325,2.820102817412466,4.2609082525931301,4.1749731367789211,4.3862692183218899,4.3566633528433742,-2.4362351828850803,3.3300324743948879,4.012112266417593,-5.6537359887398777,-2.8257852727212009,3.0882600611411037,0.37636244952306153,-0.12059801161661743,-4.0914295846261082,-4.4639335805214939,-5.920357101563364,-5.0288318330086765,-5.9399326974190769,-6.493007534150034,3.1518148249350491,4.3253170317374172,3.7653600043021145,3.1259836024008694,-2.6130442553795872,3.4876762694083157,-5.858338230255991,-5.0883473092354832,3.8392578428946438,-3.0593122178353367,-6.0411423379220066,-5.8218725854195652,0.73053050696477295,3.9582296675406399,-3.4760218793191013,1.3216131991110742,3.2579966849051418,3.1491898363791408,-6.5008796387948093,3.4683419531546535,3.6988960570059719,4.2128936117850246,4.2010084456168117,3.8220959967337551,-5.3025659257210789,-4.2893997365273533,-6.0911062890328465,2.067372447844595,-5.4109014207161961,4.6016327208243313,4.5009285277090969,-4.0317429238595066,-5.2523106271065769,4.2790666884146633,-5.1373242074288425,3.7997213667593899,4.8305007284842434,3.3830891913138332,3.4761420553885403,0.63557816207036377,-5.7402013474740086,3.9067779844962063,4.2600380247794094,-5.9681919747628269,3.1113175219260158,3.7827926939688625,2.5168422526083889,-4.990298622254282,3.9831935232840481,4.1178962057791653,-5.845271938446909,-5.4591568642891941,-6.054481857422739,2.3576153582297268,3.7698017424307766,3.6942468947134914,3.8944641417227688,4.6226311987601223,2.5652514761649075,-5.1815284425057468,-5.5244868928231297,4.1578036612235012,4.2988306349478664,-5.4960130387581883,-5.8595412904061375,3.6086574858389797,4.1299988096915188,-2.9065550500191746,-6.0575002366341648,-5.3156188660897312,4.0152269667349758]],\"y\":[[-2.4239424188975245,4.5609880963917817,-1.3609242161158472,-1.4919820149783045,-1.060248257720843,-0.0031989534739405023,5.2746326009389009,-1.9571644981745631,-2.0396699627283961,0.50371637741290032,2.8119253198262304,5.4130541364308442,5.4319583455678071,-4.1813345869425689,0.82002225319109856,-3.361192556226626,-3.4751935919169337,6.2332655469533051,-1.9023222645167261,-1.1458798964861781,0.070623842870816578,-2.1729515512827784,-1.3012585361842066,-2.3668752630595118,4.1861511746998872,6.1666990796681489,-0.07431981166638435,-5.0962627848032866,-2.4883317669276148,-2.0352490862254053,0.68722930351458489,5.3556334058400239,0.84017362991534172,0.15182634988985955,-2.3230533321741968,-1.8098151405695826,6.3171145002003755,-1.5227970202807337,-1.9278317411784083,-2.0975117405299097,-1.8467319925669581,-0.24890917738713325,5.2868897000905122,2.8192738572712988,-2.0351397713068873,0.27459999719820916,0.21939983764849602,4.8468886891957368,-1.251596780622378,3.2370296994801611,4.0774675885792817,-2.157822104299441,-3.4739092310313135,-1.0692414363268763,-1.9240455349329859,2.4415027181264013,4.9130069295521821,1.6697985211964697,-3.5910936315897852,-1.6339909156206995,-0.10385725101269783,6.13976636329852,-0.1988587697390467,-0.72892709089256824,1.9006220380421728,-1.7581078728083521,-4.1603685339335357,-3.7919968088511378,-2.6646362264994532,6.2563449422474946,-1.8575770576838404,5.4354602376576509,-3.8577817400339991,-0.86170599063672126,-1.6714509447459132,6.1034232656117524,-1.7020700295809656,-3.5910142382029444,-0.90599982639588417,-3.278905244672671,0.34204461971484124,-2.493720861280337,-2.9189573248270899,2.5575565377827734,2.1375414411183447,-2.3076520880106837,0.85956921974383294,5.5023647824879731,0.1226136366482824,0.90666511455737053,-4.3640995939616118,0.78360476890765129,-2.229204030836001,-3.5964950044993311,-2.7376447637919337,5.8229342977162446,-1.4376525600794703,-0.0071892460230738031,1.0902816335316747,-3.723750682676211,-1.545060189569369,1.8917509595509618,0.10975864330492913,3.767842916643247,1.0953157226201147,4.7440544644948091,6.2671872655507173,5.0375486890431489,-1.4930325468424708,-1.6865774711016566,1.3132356683369726,-2.5282889326456934,0.2322489897366613,3.053478149568662,-3.6445847471598536,-2.0364881475809962,2.1979185620900243,0.4737764875050634,0.34391608635149895,3.1931356469746679,4.6984931508656587,-2.3206523378733546,-1.3709589560870081,-3.3848780115488917,0.10801014105044304,-1.8686189373377711,-0.27822473844327034,1.7524751702900976,-2.2824387272242457,0.040917066728696216,-1.8718527277354151,3.5393640081044286,-2.5310460050944239,-0.79395885964669288,-3.6142457445506007,1.3428472558613866,2.1670099774952978,-1.0547011216524989,0.053220657503232349,-2.5049843510035426,-0.078191729390993725,0.58263471523486077,-0.33809483250416816,-3.0026050527933985,2.1802228967305273,4.2852317372914399,0.075537113344296802,-0.45325485070981086,-2.1088388880137354,5.6170193235035981,-0.0042112191561609613,3.6995402852650732,1.3101433793660253,3.7294951955433935,3.2245275060292333,-2.5156374891642481,0.19655898014269768,2.7750836888905615,3.9751702825184911,-1.3423747738245875,-0.79763170530833305,-3.783922048414126,5.7760783712025727,0.4742647687550634,-3.9147642572764307,-1.4897038062456995,0.72149756351672112,-4.6768530329111968,3.9998981038685888,2.9275032559987157,3.9596087018605322,-1.4805615266207606,-2.3055076321009547,5.709130434190854,-0.66058179190196098,-0.68876549241878093,-2.0615666826609522,-1.4961245973948389,5.8569709340687837,-5.3729494531992827,-4.7047046144846831,-4.5010617693308745,-3.0754037817362696,-2.2853716333750635,-2.3944978435877711,5.0284039060231294,-0.52450566192902626,5.862429765855893,-3.6829043348673731,5.7198440114613618,5.8193899671193208,5.4614092389699067,-1.839825483167544,-0.37305695017613472,-2.2612950523737818,-1.7410278042200953,-0.47179021140374244,-2.8548248728159815,0.93267014423571526,-0.28739908536709846,6.1978861371632661,-2.2965886314753443,6.0330149213429536,-1.8899432142619044,-1.9679584225062281,-4.8555706461314116,3.2717842141743749,6.2791606465931977,-2.1638055761698634,-1.2251872738245875,-1.6241277178172022,4.5317422429677094,-2.5921070297602564,-1.6452137549761683,-2.5512525757197291,5.8063866178151216,-2.8423815687540919,-4.3189624269846831,5.2906090299244966,-1.2093105038050562,-2.2468459328059107,3.2060834447499365,-0.22580784758366645,-5.0903199633006011,-4.9740699251536284,-1.5329989512804896,0.3640733043309301,-1.9681979139689356,6.0053149739857759,-4.7634843309763824,-2.3324273546580225,4.7507134954091157,-2.1058399399165064,-3.3286565264109522,-2.1642199476603419,6.1403819600697602,-3.1477533300761134,-2.4249170740488917,0.032660750543698658,-1.5147729237917811,-1.7047620733622462,-1.7407974918726832,5.9290868322011079,0.73337867656908928,2.081605819856748,-2.7303775270823389,-3.3545483072642237,3.7827760259266943,-2.4628283699396998,-0.18605199655331672,5.7512680570241059,-0.62760734757222236,-2.2259094437006861,0.66038360992632805,-1.7920636852625758,-1.9738279302958399,-1.9679617603663355,-0.75979690825380386,4.4477821866627778,3.7065235654469579,-0.47790557345189155,0.37111750045977532,-1.2477879842165858,5.3866788426991548,4.6404534856434907,-2.0194360931757838,0.24557277361117302,-2.1719521005991846,-2.534595580900088,6.0664698163624848,-0.97541529139317573,-2.9255004843119532,1.4162239114399999,1.2918585816975683,-1.7989293058756739,1.5153717080708593,-2.089099975431338,-5.2532542665842925,-0.6945296322349459,-0.55396698614396156,-2.0415210445765406,1.6229487935658544,-0.38922444185055793,-1.5070934613589198,2.724437622224912,3.1053611318226904,0.36135938564501702,5.0215751210805024,1.0733109990712255,-1.1420734246615321,4.5590206662770356,5.6490041295643891,0.79236331382952629,5.1439806501027192,0.90493681827746331,3.5825807134266943,-3.3516133745554835,0.96703484455309807,0.013699082529172291,0.43656936088763176,0.18593749204836785,-2.287687393033877,-1.1840383132342249,-1.854727359617129,-1.2767833789233118,0.62264111438952385,-2.3413816412333399,-1.5632042010668665,5.9288293401356782,-2.3667430599574,-2.6569406708125025,-4.9233997782114898,-2.4469978531245142,-3.4312649687174708,6.3557030240651216,6.2044831792470063,6.2774120847340669,-4.958230348432437,0.73083033958636223,-4.9192923029307281,-2.1936223228815943,-1.0237523933295161,-1.9902027567271143,1.2441510240193456,-2.3397497852686793,-2.555000158155337,-0.081854196393862377,-3.352185102308169,-1.7697127779368311,5.1079546491261567,-1.8375985344294459,-3.7284103353861719,-2.6187299211863428,-2.6839514692667872,-2.3111585100535303,-1.5935382564906031,-1.7216208895090968,3.1498731652852148,-2.1834809502009302,-0.81959226926602424,0.29429247776232659,-4.2564638574961577,-4.0790687521342193,-2.2445436437968165,0.86365702549181878,6.2456165830250825,3.1487597505208105,5.6828376332875337,-0.31161385973729194,-3.3768814524058253,-2.1371415575388819,-2.4847284277323634,-0.63256122370995582,4.585175184404477,-0.86869067152775825,5.7339288274403657,-4.7821448763255034,-1.6008018573168665,-1.3599250038508326,-0.89102895756997169,2.0458225289937109,-3.0228110273722559,3.6446587125416845,6.1587616483326997,6.3113709966298188,-0.93845525583066047,0.27336951891146599,-2.2699178179148585,-0.8309136574510485,-0.5421614368800074,1.9949585477467626,-1.3848834355715662,-1.2548774202708155,-0.303394796455279,-1.8503794391993433,-1.6082303841952235,1.0362267772313207,-0.25962552627362312,-2.2054419239405543,0.15909203687869011,-2.3545452078226954,-3.8162888010386378,-1.7407530268076807,0.15898248354159294,-2.9843977411631495,-4.7334559877756988,0.4603710452672094,6.5101992169972505,-0.99471473892964424,5.3173429051991548,0.010975567495450367,1.3160141984578222,6.0811940709706391,4.2911726514454926,5.8067003766652192,6.1516915837880219,-3.8477219065073878,-0.56223127445019783,-0.60679900100268425,0.26178195873461663,0.77471056381426751,0.02344634929858147,-2.0636211355570704,4.3087302724476899,2.5385943929310888,-3.7607172449473292,-2.8300114591959864,1.6987279931660741,6.1059791127797212,-2.367948623502627,-1.3026901801470667,-1.582632096612826,-2.562305541837588,-3.0956462343577296,-0.49307361444272102,-2.3902754505518824,0.096637038385495533,-1.002995671832934,6.155241159593686,-2.3592964132670313,-2.2031477411631495,0.19480547109805046,-1.5894029458407313,-3.7234464605692774,-0.57716794511117042,1.0069606582280248,-5.3106635530833159,-2.7188754995707423,-0.67533974921144546,-1.5247779806498438,-3.3243452032450587,3.8057982007618993,1.7180282155629247,1.8951307813283056,0.38730898300372063,0.4815432111378759,3.4106136838551611,3.9369875470753759,5.7471791783925141,-1.6154571493510157,-2.5282175262812525,5.5046383420582856,-2.2374744137171656,-0.74580705364979805,0.63541057506762444,5.0971418897267426,6.0172392408009614,-1.1334699412230402,3.5790030042286962,-0.63466766675747932,-1.9919628818873316,-1.4715509136561304,4.1195961515065278,6.0665365735646333,-0.15717074474133552,-0.83351120551861824,-0.041548641527071606,-3.4789639433268458,0.08589747348986565,2.8287989179249853,-4.2947400530222808,-1.6391935070399195,0.73227992454729973,-1.9409398754481226,-1.9238525350932032,-3.2999371012095362,-2.4444392641428858,0.584676412736997,-0.47898596724309028,-0.063820513093844067,-0.85163870652951301,1.7567495385762304,5.9222551862355317,-1.4317240436915308,-4.290679307783023,-1.6689185818079859,-1.9907366951350123,3.6644283811207861,-1.208278807008639,-3.2294615229014307,-3.53181395133771,0.16766300598345696,-3.8767207582835108,-1.6996605714205653,-3.1247032602671534,2.3767744580861181,-5.1896551569346343,-2.085426183545962,0.15554716983996331,-3.1717403849009425,2.5828756372090429,-1.5759708603266627,0.50336995521746575,-0.00096622308529914491,-3.531302066648379,2.3629836122151464,-0.51668662031926216,6.5097676793690766,0.10245349804125725,2.4005526582356542,5.1191674749013032,-2.2253373583201319,3.7342983762379736,-4.8967646082285796,-2.1765366514567286,5.1614891568776216,-3.658861013257876,1.1124904433842748,-1.3171585520152003,-2.0713031013850123,-1.6945940574053675,0.51691594520770012,-3.4552353342417628,0.68430438438616692,2.1503387967702001,-0.44561726053990425,-1.3538924773577601,-1.7000657041911036,0.19344046512804924,-0.25588000019825996,4.1527763883229341,-0.056277902925387036,-2.3305705507639796,-2.6961437185648829,-1.2722177823428065,-0.1896642764452845,-0.37577939232625068,6.5140706578847016,-2.6139056404475123,6.2066051046010102,-4.4964416941050445,1.5446392575856298,0.22592374483309685,5.8738400022145356,-2.5415188988093287,-0.46387927433289589,6.3667241613026704,-5.0694449861887847,-2.1448111256007105,0.58100822368822991,-0.52378004988469185,1.5315343419667333,0.30252352157793938,-0.27326551278866829,-3.302570434415713,-0.26172504028119148,5.6343637982960786,-3.9731949289683253,4.9236470739003266,-0.017684849107638012,-5.1671312769297515,-2.1053601225260645,5.7960950414296235,-0.75854998281039299,-0.19752535423077644,5.9886652509327973,-3.0913077314738184,5.5834752599354829,5.8752571622487153,5.6014906446095551,-1.6426285227183253,2.61355319420062,-2.5852859934214503,0.032042411958798755,0.14958980480395256,-5.4139483888987456,-2.1020459850672633,0.086386946832761158,5.8410164395924653,-1.2037187536600977,4.2020098249074067,-2.2779335697535426,1.0987122336979955,-3.459409805143252,-2.2577160318735987,5.1850587407704438,-2.6689614971522242,-3.7811191995982081,6.1284867803212251,2.7336803952809423,0.34952881733141838,-3.34799465736188,6.1840998212452973,-0.59392323544062675,-2.1494937857035548,-0.99437400897778572,-2.485010357702151,-0.55357498129643501,4.2672535459157075,-1.966421695554629,-1.3056107481364161,-2.0817610939387232,-1.8661416490916163,1.1090861837025732,2.5411118547078222,-0.28003990849293769,0.32085719505511223,-1.5454110821131617,-2.0634958465937525,4.3861509839650239,-1.7415537556055933,2.8075331727620214,-1.8260016163233668,0.1392575780507177,-2.8897417505625635,-3.4982336481455714,-1.4735290130022913,-2.5246780832652003,-4.7272222956065093,-5.0906585176829253,5.9258219281788911,3.3085028211232275,-3.1412273367289454,-1.4506988843325526,-1.7402947862986475,4.1155492345448579,-1.8608510216120631,-2.1143266876582056,-0.94771781762875618,0.50713565746508538,0.45906033912859856,-0.46734926303662361,6.0061265508290376,-3.1791225393656641,-1.5013940056208521,-0.26577314933575691,-1.7897350510004908,5.63598218361102,-2.0897912701014429,-4.5101326425913726,-1.6685838421229273,0.97515573898516594,-2.7128883322123438,-0.32605084975995124,-3.5607670267466456,1.3025166074391454,-3.6134074648264796,5.893799451982602,3.2949859181996435,-4.6001072843912993,-3.0487497766856104,-4.0350559671763335,-4.5549701174143706,2.9335071126576513,-2.3022573908213526,-1.7962529381159693,0.5133655349370092,5.6860047856923188,5.159546522295102,-4.9965170343760406,-2.1413491686228663,-0.82106331934966148,6.3522821942921723,-0.51868814429081977,-1.7872458418253809,3.3782621900197118,-1.169714810455218,-2.4311220367792994,1.5110184232350439,-1.2300030310992152,-1.2066546698454768,-1.225744934881106,-3.5523766001109034,-2.6143294294718653,-2.6177423914317042,6.0290595571156587,-0.50202726026810707,5.5554124395009126,-2.0825966318491846,0.82027926841937004,-1.0108128507975489,5.9120933095570649,-0.79877247860468925,5.0785557309743012,-0.31409719785489143,-1.3025124987009913,-4.4558144529704009,-2.3140825947169215,-4.6657434423808013,0.41521671215258538,5.1376625577565278,-3.4929128607157618,0.48376431862078606,0.29471722046099602,3.2478906194325536,-2.2987181862238795,-1.0797995050791651,4.2867161313649262,0.0086186210270970953,-1.9105398376826197,0.51899733940325676,3.5210286656972021,-4.0809699018839751,3.3192664662953466,0.70587757030688225,6.1707736531849946,-1.5136269052866846,4.7605287114735688,1.2189218083973974,0.45066287914477288,-0.091579588258638989,-1.3130245526675135,-2.0013136585596949,4.0836221257802094,1.0017936507817358,-2.5277898033503443,0.11476179758273064,-3.4343720396403223,6.1084958593007173,3.0255440751668066,-4.9682110269907866,-0.095709474885836254,-0.18845281204022468,-1.0779137929324061,-2.2594849785212427,-2.3959475477579981,3.6926156560536474,5.6331044713612641,-2.3972980697993189,-2.1494072397593409,-1.8019695003870875,-2.0892197807673365,-2.9782463034037501,-2.4243255575541407,3.3101173917409032,6.5054933110829438,-2.6928626020792872,-1.9548871239069849,-1.0323364158514887,3.8065759221669286,0.62841287056170403,-3.9875546415690333,-1.8541104515437037,0.92590418258868157,0.30194666782580315,-1.5018984397295863,0.4845412055607885,-0.17712667783536018,6.4476925412770356,-0.47259341379441322,-2.5780229290369898,-3.4406310041788966,-1.6972892006281763,-1.2190810163859278,0.82663360038958489,-2.8337613066080958,-1.8718189915064722,-2.4918985088709742,-0.4765626957062632,3.815107492601499,-3.0737915953043848,-4.5077687223795806,-0.55044420262612404,1.6344713250752538,0.59758129516802727,2.3286994973774999,-1.5176588614825159,1.3997396508809179,4.3693019429799165,-3.5230122526530177,-2.2236046512965113,1.099791912233457,-1.3247968276385218,6.2552506009694184,-4.1716831644419585,-1.3806635459307581,-3.7157302816752344,1.2596484700795263,-0.46185544332303108,1.3177145997639745,-2.3060733993891627,-0.057403357828035961,-2.1491220911387354,-1.5088147242907435,-2.2488428076151759,0.89430573383532463,-1.2219919284228236,-1.7824537475947291,4.7233945409413423,-0.8146330138090998,0.60548105636797844,4.515163091814145,-2.2426744421366602,-0.93062654336728157,-1.4334760030154139,-3.3568438013438135,-0.10162368615902961,-1.2473947127703577,-1.5495269616488367,-3.387439819181338,-2.4978031834010035,-2.4426278789881617,0.23960020939074456,2.0904172937031835,-2.0420862158183009,4.447622923051938,0.33577218452654778,6.0066849271412934,-1.2338218410853297,-0.76057930489815773,1.4095458070393652,-0.41820094188489021,-3.2321222742442042,5.8363801519032563,-3.3232058008555323,-2.5770795067194849,-0.31931096514500679,0.72523787418566643,-0.036010058725252758,-1.6460498293284327,-4.2690785845164214,5.3818947354909028,-1.8912765701655299,2.2370673696156591,-3.2408536394480616,-0.01739844878949226,-1.6100855191592127,1.1436475793477148,-2.5046910961512476,1.2412191907521337,3.1574496308919042,-1.7195602377299219,-4.7333548982981597,6.1509872953053559,-0.61843190541304649,-2.2150703390482813,-5.430299611890689,-2.640328617895022,-2.9598692377451807,-2.3358186205271632,2.9129666368123144,1.7064711133595556,-2.3687793930415064,-3.3262511213663966,4.272367624437436,-2.3304073532465845,-5.2894814928416167,-1.5694117864016444,0.69464531341753899,1.2206509391423315,-0.38724771341122688,-2.281199904287234,0.87080135742388665,-3.0151425321940333,5.7142797986622895,-1.7597033699396998,6.3953572789784516,4.580111650621518,-3.4103980978373438,6.4420615712758149,-4.1383369882944976,-0.40766781767643989,-4.5225485285166656,-4.4413059671763335,6.0136028806325044,-2.5683570822123438,-2.0698828419093043,5.9267965833302583,5.8210684339161958,-1.584379287565127,2.4513479749318212,0.31395700374804436,-2.8859759291056544,-1.6249425133112818,-2.4603950699213892,-1.8524055202845484,-5.2353986223582183,0.18474444547854363,-2.2207362373713404,5.3366757909413423,6.5767537633534516,4.927673963701352,-3.2087076624277979,-1.4646193703059107,-2.422739358747378,5.3576818982716645,-2.099086376035586,-0.80372051348723472,-3.9434927423838526,-2.9411636312846094,1.1226489822026342,-1.3077832778338343,-0.78446293076314033,-0.68009287318028511,4.4954034368153657,-1.7862660606745631,2.6894771138783544,-1.0091382583025843,1.5287803689595312,5.8734637776967134,-1.9619347771052271,5.6830383817311372,-2.5390444715861231,4.1398221532460298,-1.2197047789935023,1.6846672574635595,6.1165787259694184,-1.2854562123659998,-0.56570275327004493,-2.1670902689341456,-2.8032799681071192,-1.1525176187399775,-2.3812174518946558,0.88983025947771965,-4.9088624437693511,-1.5525943954829127,-3.266095014417544,-1.3213318904284388,6.33929028907977,6.3083335439320649,5.3751651326771821,2.3950490037556738,-2.5892675836924464,-4.4900182207468902,-3.7087305506113917,5.0579430142994966,4.3881346265431489,-3.241342874372378,-0.76926513587869705,4.7141295949574555,4.8203302899952973,6.2412511388417329,6.1266581098195161,3.4219328443165868,2.9060088674183935,-1.6100386103037745,2.0702642480488866,-0.63595286955870689,0.001632181799039234,-1.7061382254008204,2.1587850133534521,-5.0214823206309234,-1.8804079016093165,4.8964935819264497,-0.22585761746205391,-0.9315751661900431,1.6518577615376562,-3.7565096338633448,4.5343104879017915,-0.25433305105008186,-0.59171976348198951,6.2357431928273286,-3.9927330931071192,4.1006461660023774,6.3245631734486665,0.31341960827074944,-2.3546580990199,-0.027807446325197827,-1.5766496380213648,-3.1263745745066553,-2.0799854715708643,-0.87494377990998329,-4.1723013838175689,-2.6738413294199854,3.1740800420399755,-0.7417087220940739,4.9637571851368989,-2.4503285606745631,1.6926080266591161,0.85934927860461174,3.4705716649647802,-3.294992776716128,-2.8455587347391993,-3.1253803690318018,3.7592670003529638,-0.76378666808642448,-2.0003306587580592,2.2952796498890966,6.1151291410084809,-1.1817605515364558,-1.4531759341601282,-4.4622977693919097,-0.50720545848645271,4.1018168012257661,3.4780861417409032,-2.2370871027354151,1.986632732545957,-1.8131473978403956,-5.0639975984934722,-2.3007143457774073,-2.705123277509585,0.035058585798367847,0.22291055122576653,3.6925312558766454,2.8941611329670995,-1.845871420705691,0.78922310272417961,-2.3646841963175684,0.97853210369311272,-1.6979959925059229,-5.2773097475413238,1.0312146226521581,-2.0426032265070826,-1.8615666349772364,-1.660240681970492,-5.3637460192088042,4.6611811200734223,-1.0947847386244685,-1.9412618597391993,-3.1654377897623927]],\"z\":[[1.7209126597205178,0.304718563512899,2.9518279677191748,-0.11627197806444017,2.527021372870542,-1.1616564149102195,-0.44043216650094835,-4.4422009343346582,-1.8901479596337303,0.64212461765203632,0.90162458475027241,-0.5616598481377586,-0.31387249176111071,1.6474694853583352,-1.8559828156670555,1.3017032986441628,0.53710638935957111,-1.2055859917839988,3.2410707121649756,3.5603587275305761,2.2997942810812964,-4.4041054600914942,3.0363416319647802,-4.1149027699669825,0.53898705001268543,-1.3542396182259544,-1.0455540770730003,2.2678830271521582,-3.1062190884789453,3.3926832323828711,-1.9399180764397606,-2.1132080907067285,0.8171541338721291,0.90080531890783466,3.2868349200049414,-2.2322132939537989,-1.6255686635216697,3.6978158598700537,-3.3646304959496485,-4.3691227788170801,-0.46031162683572618,-1.7735357636651023,-0.24576518480386583,1.0056945925513283,0.77559181507024921,1.1263341551581398,0.76457359846029438,-2.0971832627495752,0.32114868070278318,-2.1789520138939844,0.59330972488317646,-4.064512526436709,2.7288589125433935,-0.74776128475274883,-3.9802940243920313,-2.265229021950625,-2.1370454186638819,1.3236580735007302,2.5187892561713232,-2.0720038766106592,2.070060694769956,-1.8430841321190818,0.54968904908094562,-1.9872184151848777,-2.2787847871026026,-0.65203252975549542,2.3033556586066259,1.9580397253790871,1.5473641997138039,-1.1801981085976585,2.8522421961585058,-1.9414627904137596,2.2424358969489111,1.4935800677100197,2.6814934855261816,-1.8734398240288719,-1.0633577460488304,1.3253179436484352,-1.3942010754784568,1.4389643317023293,0.87805118616018452,3.1031601076880468,3.1063513403693213,1.1078978424826638,0.92488339002523579,-0.33500662986841051,0.91635533626470722,-0.61538109724130474,1.9235921746054665,-0.84139434043969952,2.2650366669455542,-2.0481994504174219,-3.7735307568749414,0.60138397868070759,-0.051875984116457385,-1.3837494010170921,-0.086225038214586658,0.22023350949678572,-2.3228574151238428,1.8464862948218361,3.7029113417426123,1.2781826501647011,-0.56737945024576031,0.46906028892192991,-2.2135410660943018,-2.0628683919152246,-1.2380369061669334,-0.04046544973459093,0.837201023654081,2.9908573275366797,1.2327821498671547,1.9862050658026711,-0.17170277778711168,-2.2872708195885645,1.6243790036002175,-4.4389136189660059,1.1687112694540993,-1.7915833348473533,-0.93923786823358379,0.89649810846243061,-0.089318996115587634,2.4751481657782568,0.021782869652844983,1.0894958620825783,2.415010178641416,-2.4634974354943262,-1.4219024533471092,-2.0867083424767481,-1.6111193055352195,-0.87906924430932842,3.3997888212958349,0.84418412502203144,-1.2857990616997703,-1.5206691378792747,2.2332950478354467,1.4481854086676613,1.1002716666022316,-1.3295537585457786,2.6543135290900244,2.2881769781867041,-0.75032225792016827,-2.3060582036217676,-0.78535715286340557,2.4039139395514502,-2.3108218068322168,0.51729873772058643,-0.67585364524926983,0.053315753296948987,-1.8620951527794822,-1.9020243043145164,-1.2004583234032615,0.78582485969457783,-1.6618275994500145,0.86647834833059467,-2.3881311768731104,1.5621211176672951,1.9238834028998391,1.0202697759428994,0.47894205357227476,1.3589428907195107,-0.32135615293588488,0.68090977723989643,-0.55646727029886089,1.5054069405356423,0.55365350301656879,-1.5736995095452293,0.95347877796087421,1.1247000342169777,0.71669798548612751,-2.29292706195917,0.71361448820028461,3.739574158743955,1.3499763255873696,-0.61775795166101299,-2.1065354699334131,1.6193426495352761,-3.5662513131340967,3.0720355158606543,-1.9200106019219383,1.8633428459921852,1.5980829840460793,1.7556627636710183,1.7654970532217995,3.3954834585944189,0.94232525880727924,-1.9662084931572898,-1.849751507683657,-1.9525401944359764,1.4878282194891945,-0.63729122821893536,-0.7145071381768211,-0.39546743576135485,-1.3430507535180076,-2.0330062264641748,-4.1679814213952051,1.0494790321150795,1.4979819899359719,3.2407769804755224,-1.3561985844811424,1.0498764162817971,-1.191149269982241,-2.0094900483330713,-1.8639381283959373,-0.47995248977746813,-4.5793383473595606,1.6782898550787941,0.74070682580862202,-1.5883779877861961,-2.3771019334038721,3.1538161879340185,3.7083072310248388,-2.0808737630089746,2.0160249119559301,3.8996264582434668,0.14952222462091597,-2.0323360318383203,1.6737135296622292,2.1459217911520971,-0.31565431301202623,-0.026652877970598621,-4.1024010533532129,-2.1747932786187159,-0.94935015384759747,1.6422769671240822,1.5686887150565163,-1.7098124379357322,1.1636628156462685,-0.7162318581780418,-1.7282541150292381,2.2822488194266333,-3.2276380414208399,-0.078878974362276477,0.74750124867353596,1.5832513218680397,-4.0884254330834375,-1.0145118588646873,1.189559364871122,0.3903947194973007,-0.94834426586236797,3.1389162188330664,3.1442126875678076,0.47066290880832823,-1.2757071608742698,1.0581040626326577,1.1477326398650185,0.32490608300361784,1.9128696566382424,0.5173266773978249,3.0760864859381689,-1.1544330472191795,-1.9826200360497459,-0.64909449760522686,-0.23120782320108263,-1.76178578083124,-1.7653222436150535,-3.3801544064721094,-4.5782168263634668,1.0214734321394936,-2.2039041871270166,0.72845580633077778,0.88445487077627338,-0.29914370719995348,-1.0816707963189109,-1.9775553101738914,0.39048799331579359,3.4803926592627539,-0.32863870803918688,-4.1809685582360254,-0.092906569882296008,-0.93725935165490948,0.74785491283331074,0.18445610459242018,1.2826760655203835,-1.2093589657982811,3.7233423834601416,1.2038882618704811,-0.49340949003305284,1.7500769739905373,0.059543306187726575,-1.8433957452019676,-4.282156741066836,0.72548347170744099,0.66199704463873066,1.3617116456786171,-2.2377672547539698,-2.2304728383263575,1.6928121691504494,-0.30780450050439684,-1.2986466044625267,3.625844443396665,0.34684939514193686,-0.9748978966912254,-0.88790789787378155,-0.12677953188028185,-2.02537015621271,0.84438320453558124,-0.21080580894555895,-1.6897497529229148,2.1563965922156347,-1.2289797419747337,2.7292678004065527,-3.7606008404931055,-1.0677769536217674,3.5967497473517431,3.3604943400183691,1.1257096772948281,1.3127427345076577,-0.76174894516076885,-1.2205983752449974,1.3196410780707375,-0.30704352800454943,1.7848413830557839,-2.7273321503838526,1.1913472061911599,-1.5190250033577903,-1.6133187169274315,-1.6711378449639305,1.64319309051428,-1.9469058865746482,2.2391173487463965,-3.567005431099795,-0.79229167644586407,0.58494160528574146,1.1052656417647377,1.0154487734595314,1.4312659149924294,-1.6040673608025535,1.2016483789244667,0.15209474618826063,-1.9866021031579002,-3.9850170964440332,0.46787341143283995,0.12375443632993849,3.3176071291724218,3.3351301794806494,-0.17860732023324816,-0.40273997728433458,-2.2626276368340479,0.15176876838598402,-1.4128768796166404,-1.7225137109002098,1.9167555218497292,0.71580704505834736,0.77422132547292866,0.83087646420393146,-1.174794232293032,0.9538275843420998,-0.67436913196649395,-1.3853454941948875,0.055805141285993176,2.6971456652441992,-1.7222819680413231,-2.036694561882876,0.22020485456380995,-1.0017899626931175,-2.0363965386589991,1.9681576138297097,-0.60229984466638409,2.8106479292670263,0.7931694930354134,1.2149381881514565,-0.59038505498971783,-2.3249888772210108,-1.0659122819146141,-1.3062185401162132,0.43357135187182577,2.4989740496436132,-3.7645094746788965,-0.038051163597963733,0.098663741902448254,1.1280154829779641,3.7040762549201025,-1.1353292817315086,-2.2370138520440088,-0.73369005863275372,-2.0130548829277979,-2.1559827679833399,-0.45105413143243639,-1.5762316340645774,2.6990682726660742,1.4027789479056374,1.7726575976172463,0.37313892850000413,-0.86793092434015118,1.7184003239432351,1.8767610436240212,-1.1653086299141868,-1.5945712680062278,-0.19997534696664659,-0.27938840334024279,0.9043699746886269,-1.3924358243187889,-1.7441013211449607,-2.164802586480044,-1.8035307282647117,-1.8367646092614158,1.1526832824507729,0.50072960014734424,-2.2032118195733057,2.7361378317633642,-1.7908523434838279,0.80211066658888019,0.25911098177824171,-2.3312256688317285,0.96546807344350971,1.5409364348212258,3.214291298941709,1.1345819478789345,-0.99145928566064678,-3.8196928853234278,3.6591691618720068,-2.5635261887749659,3.3964278345862402,0.8544526642123238,-2.1815410012444483,2.2979336624899878,1.2083266025343911,2.6538922434607519,-1.666209256096743,-3.8914845341881739,-3.7873032445153223,1.6922328120032326,3.0861770754614843,0.4213397895852104,-0.360995268269442,-1.2482587451180442,1.9154033308783547,2.0755170231619848,-0.26055273954477159,0.32712042163405569,1.4042644148627297,0.71589305456075825,-1.821381842537783,1.0160376673499123,0.78435095603857197,-1.052843605919741,-2.2612905854424463,0.6890948658743874,-1.8348224515160545,2.9087946062842382,1.6430362110892311,-0.4968474263390526,2.6027874594489111,-1.3492400998314842,-1.486954843445681,-2.07944730465021,-1.1020439023217186,-0.54610196296777569,-2.2726106995781885,1.2273513322630898,-3.0372295731743799,3.5530161505499853,-2.1356568688591944,-1.7008445615014061,1.016341054991819,1.5856625681677834,-0.14174357597436754,0.88299956376943745,2.455823863104917,0.98261817748937763,0.75345029886160053,-1.5385767573555931,1.5969053154746071,-2.8063612336358057,3.5408041125098242,0.98550584371481098,-3.5016446465691553,-0.75427452270593487,-1.2737386578759178,-1.6466327065667137,-1.8502304906090721,-2.3419442528923975,-2.0458758229454981,-1.2706771249016746,1.9913510924139992,3.4627344256201757,-2.2016206139763819,-2.2152846211632715,3.0283591395178808,-0.47989234869088976,0.068220908001996594,-0.77350369636621319,0.50619247014913715,0.83226543124113239,-0.759559070511721,-2.1788525933464991,1.9045886641303078,-3.9743526334008203,2.6428641920844091,0.82426616008672871,1.0060130005637185,-0.90193072502221905,0.99577304180059589,2.2701818590918554,2.87701340969,1.1097865944663063,1.0397622233191506,-1.4801934117516502,2.5116467123785986,1.0542903190413491,-0.10410792176332323,-0.52546677534189068,-2.2278192395409571,1.8003981953421608,3.2558207159796728,-0.13142303173150865,1.5368673449316994,-1.7740826958855613,3.0596899634161963,3.1895594244757666,-0.17401996795739977,0.91778298671636738,1.6361664181509987,-0.73427704517450176,-2.2525081986626612,-2.2196486348351465,0.69169294293317951,-0.46725687925424425,1.1021707301894204,0.53705961461458362,0.62042188103590168,0.86326968129072346,-4.1374972218712793,-0.08763489667978136,-0.55257776920404278,0.70897960122022785,1.4694782143393532,-1.6909764165123924,1.7370013838568703,-1.2234360331734642,1.392500722960569,1.1404010897437111,0.70430269296560444,-0.77642956916894756,0.55308466608915485,-0.35568419639673082,-1.5766607875069603,1.8585914021292702,-3.3035679215630518,-2.3364601487359034,0.90753599460516132,-2.2550762051781641,-1.1180763596734031,0.65383696015272297,1.2952232008734719,-1.9782958382805809,-0.59248397295083843,2.2972430830756201,0.038324529484845715,0.091932917193509656,2.0057422762671484,-4.1635878438195215,-1.8778262490471824,1.3438335901061074,0.043047363118268567,-1.7005379552086815,1.8161207085410134,-0.69823590461816631,-1.9868114346703514,-0.68850151245202862,2.8571991568366064,0.96169736440572895,-2.2192685956200586,2.4049763327399267,0.58710421080980457,1.6121569519797341,-3.7493899220665918,1.4361596947470681,-2.0254648083886133,-1.0320638770302757,-2.194324767037295,-3.3233628625115381,1.1207342391768471,0.93353792484197773,-4.3238962048729883,-2.0157058591088282,1.3689778691092507,2.3818230276862158,-1.6327367181023582,-2.2361541146477686,1.2783063894072548,-0.34779039566125719,-1.6785416955193504,-1.3047206753930076,-4.0978777760704981,1.7616051083365456,1.1861673241415993,0.96773936803732075,0.19234318490419539,-0.61603239719476544,3.5063635950842871,-4.0356600636681543,-2.7837984914025293,-2.2865541333397852,-2.1630576008995996,0.47733135725650938,-0.85122517292108379,3.5315065031806006,1.2911687141219155,0.43814096058998259,2.8295335417548193,1.0183514600554482,-2.0716970318993555,0.074111575440503674,-0.1683719510277733,1.8081029301444069,2.813250506476499,-0.17830512468423693,2.2930901890555395,1.8301757221976296,-2.1124124879082666,-2.3127229565819727,2.3696720248023047,3.7532853728095068,3.6653802042761816,-2.2501683587273584,-1.7157409543236717,2.5517861491004004,1.3657154088774697,1.0044521933356301,-1.9490778798302635,-2.0694294327935205,-1.3766488188942894,1.0883080011168496,3.7152385359564795,0.24303577299509199,-2.3975520486077295,-2.0111916417321192,-2.1207371110161768,1.323900664404966,3.4216956740180029,-2.1676068658074366,0.2165401970902458,0.53535660560522236,-0.029214953823946399,-1.4250539893349632,1.3786654120245949,-2.1199062222680078,-2.290758168145083,2.2367086058417334,2.3664700632849707,1.4042710905829445,1.6668164377966896,-2.2967899197777735,-4.0652792805870996,-0.19649956171121447,-1.7053244466027244,-2.096262490197085,-0.27862081472482531,1.8389694338599221,-0.70852748100366436,0.39061276912037285,-1.4190649146279319,0.61508458311948933,2.6585242396155371,-2.3407025689324366,3.5099353438178076,3.1888248568335547,-1.7592449540337547,2.296513879851438,-1.2292689437111839,-0.55698255245294415,2.4151751642981543,0.8907671218672768,-0.10765579883661119,-1.8264146203240379,2.3196100836554541,-1.9832051152428611,-4.1977947110375391,-1.2108956927498802,-1.2360688800057396,-1.8238900059899315,-0.86720553581323467,-0.027806436463259143,-1.7001874798974022,-1.2176562899788841,2.3941752558508886,-0.45528093521203844,2.2259193306723608,-0.068795179768465442,-0.41647366230096666,1.3449152951994912,-0.54538110439386212,1.3633727675238625,0.85273441131506122,0.24904445763025435,0.6631188338557259,0.4339464550772682,-1.3287616128167137,2.2579960470953955,-1.4042799824913963,0.61381466145906605,2.3593933230200781,0.8688000386515633,1.4263145571509377,-1.6951468342980369,2.7577550059119238,0.17524067516718062,0.9498038535872475,-2.0003671998223291,0.18651787395868452,0.43843322451505812,-3.9814703816613184,0.57061597164068378,-1.5036745423516258,3.0048808699408545,-0.33383670990075914,1.7172023897925393,-1.6321361417016014,0.98652752693090595,1.9697740917960183,1.0880603438178078,-0.53754291479196392,2.773108208731748,-4.2355239743432032,-0.37801322881784288,0.72456821258459247,-2.0279355401238428,0.54893437977228321,3.1907698756018652,3.0268418436804785,3.457516396597959,1.4449412470618264,-3.340039288445376,0.84601234848890461,-1.4419619197091087,2.3569098358908667,-0.14701214973535387,1.4355934506217018,0.62639995868597187,0.99976345355901874,1.2342852001944558,1.2835021858969704,1.2228841429511086,-0.21482173149194567,3.613076413230039,-2.3255999440392481,-0.17167637292947618,-1.5193666571816429,-0.21886805240716783,0.57198853249941028,2.5018155222693457,3.2400831824103369,2.9130816107550634,-2.1386235112389551,-0.26648065988626329,-2.7126224393090235,-0.13236359302606432,-0.18778732959832994,0.67918309028539814,-0.97862473671045147,2.0716530924597754,-1.9102948064049705,-1.6672747487267479,-1.7135117406090721,-2.2741632813652979,-0.32925484125223009,-1.2433543557366356,0.36929347710032018,1.8232771998206154,-1.2759771699151023,1.1154466515341774,-0.021791195317171497,-1.1791127080162986,0.8878723030844704,3.6451568251410498,1.9975769167700783,0.7745423858920113,1.2915099507132546,-1.8756244534691795,-4.3823464268883692,-1.4591155404290184,-3.7586329335412012,-1.5040309781273826,-2.5591385716637598,-1.6513920182427391,1.5046544914999977,-2.0850282067498194,-2.1008479947289453,2.6287481432715429,1.1270150786200539,0.32470682095084341,-2.057024037285708,-1.2075527066430076,-1.065495407029055,0.13675721939001234,1.3079818731108681,-1.2754156941613182,2.884389365271665,1.3640479093352333,2.0701118355551733,-0.37930515949334948,2.5852379446784033,1.2134255414763466,2.5993244295874609,-2.2355978841027246,-1.3153759593209251,-1.8953039998253807,-0.45669290964212267,0.87915643508825458,-1.6264961117943748,-1.0798709744652732,1.6988180523673073,-0.94540134613122784,1.667353714064695,0.037134016112424451,-0.90237275306787335,1.2605692392149941,-1.1737389916619285,0.40754000674281271,1.4392054920950905,-0.45946708862390367,-3.0717862004479395,1.1325286274710671,-0.66270211879815899,2.3558253889838232,0.1166816001692787,-1.7870245331963523,3.0938043242255224,1.4199568873206154,-2.2672367448052393,3.5120024328986181,1.9821776991644875,-1.0933958644112571,-1.7200847024163231,-3.6352956647118555,1.8281238919058815,3.2434551363745703,1.7570126896658913,0.94751032646093525,0.94733711536321796,1.0536057596961037,-3.5108058804711328,1.2466590052405373,0.47824824060592802,-1.6976774090966209,1.6713567620078102,-1.3610468262871727,-0.77255121414270245,-1.1383841389855369,0.02872138674650343,2.4830815439978613,0.88447066600713886,1.9429345970908181,-1.0324172133645042,-2.3510797375878321,-1.4476848000725731,0.26201189513597639,1.1477381830969826,-1.4810302609642967,1.7048794871130959,-0.53395435754861675,1.6828380471030251,0.90038057620916523,-0.99898735229577862,1.2779807096282021,-3.4881890172204004,-1.5146830434044822,-0.72990480606164776,-0.610877429886721,-2.2288358563622461,-1.8078728074273094,2.216438139037229,-1.5956042165001854,1.2107753997603432,3.7306248789587988,1.7515104656973854,-2.2431216592034326,-3.7950709218224512,-0.27807972375955431,-1.5701052302559837,-2.0571282262047754,2.8631963377753271,-0.4825310463150963,1.6426313763419167,-2.0708632821282373,3.3254556303778662,-1.9241636151513084,1.9326098805228249,2.1696555262366308,-1.3984380120476707,-1.1418389434060081,0.19010824914369734,-0.1337219232758507,-2.1535916680535303,2.7292859202185644,-2.2689855450829493,2.4331793432990088,1.0194046741286293,-1.8206553811272606,-3.9941161030968653,-2.0084650868615137,-0.075243359251879138,0.55220734532270588,-0.75211945716943585,-1.5432904118737205,-1.80182484333124,-0.82482949440088116,0.86275687272939838,-3.5396340245446192,1.3238997703352944,0.044734383181668835,-3.2960760945519434,-2.0534053200921045,2.2898159867087378,3.2229990607062353,2.7280842905798925,3.2318439131537451,-1.2646129483422264,-1.4033933037957176,-0.47724065725412218,0.92000427301321186,3.077028000907041,1.6591003781119362,2.000695312575437,-2.0032043809136377,0.43237840588483961,2.5682856684485449,-0.60239753667917095,-2.0061273926934229,0.086906844929792004,-1.5733874196251854,-1.7488398904046043,-2.2866111153801905,-2.2330105656823145,3.6391958838263525,-2.0540738457879053,-1.4164207333764061,-0.025705700560472888,-1.9356620663842186,0.99586179311666645,1.7376130467215554,-2.3733580464562403,-2.0383117551049219,1.4584244137564675,0.66361799295339741,-2.2756264561852442,1.240804219798185,-2.1218195313652979,-0.42767701093759386,-1.2472914809426292,-1.4674115533074363,2.4409746771613134,-2.2123680466851221,-1.3827655667504295,1.845051730231382,-2.5346234196862207,-1.4120872372826561,-1.3125818127831443,-0.012733524485491199,0.95320072229299702,0.21816810424719008,1.9236166125098244,0.075430149392224866,-2.3801901692589746,-1.9588947648247703,-0.29265860263910143,1.6331224089423195,1.1292436962882058,0.88943287189397968,-2.2359147423943506,1.5138283615866677,1.9692984467307106,0.72607460077200092,0.69116958434972919,1.4489907866278664,-0.63467577640619122,1.1443618779936806,-1.4216475838860496,0.54873485322389759,-0.38111028616037218,1.5091299658576027,0.79618325288686909,0.56344146485719837,0.7448875253954903,-4.1484949940880762,-2.3450262898644434,0.51448547299299396,1.9984683638373391,3.2512380724707617,1.1803533678809182,0.071157509640790539,2.7110910063544287,0.73239692504797138,0.9550708180228249,0.3882182344729081,1.0160740857878701,-3.5063732022484766,-2.0848410481652246,3.2758783942023291,2.0168980007926001,1.0070734267989174,0.077136183337308484,3.4548844939032568,0.11523925717268141,1.8868381624976174,-1.9708857888421043,3.0285789614478125,2.9304322844306006,2.6455645209113134]],\"name\":\"All_cells\",\"visible\":true},{\"title\":{\"text\":\"All_cells (nCells:1000)\",\"font\":{\"size\":16,\"color\":\"black\"},\"y\":0.94999999999999996}}],\"label\":\"All_cells\"}]},{\"y\":0.33000000000000002,\"buttons\":[{\"method\":\"update\",\"args\":[{\"text\":[[\"Cell:CAGCCGAAGCGATATA
Exp:0
split.by:All_cells\",\"Cell:AGTGTCATCGCCGTGA
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGTTGTAGA
Exp:0
split.by:All_cells\",\"Cell:CACAGTACATCCGTGG
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTCATTGGGCC
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTGTGTGACCC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:ACCGTAACAAGGTTCT
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGGTGGGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGGTCCCTTGT
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTGTCTTCTCG
Exp:0
split.by:All_cells\",\"Cell:CCGTGGACACGAAGCA
Exp:0
split.by:All_cells\",\"Cell:GAACATCAGCAATATG
Exp:0
split.by:All_cells\",\"Cell:TTCTACACAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:ACGGCCACACGTGAGA
Exp:0.876
split.by:All_cells\",\"Cell:CTCGTACAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CGTCTACAGATGCGAC
Exp:0
split.by:All_cells\",\"Cell:CTCACACGTCACACGC
Exp:0
split.by:All_cells\",\"Cell:AAAGCAACACGGTAAG
Exp:0
split.by:All_cells\",\"Cell:CATCGGGCACGTTGGC
Exp:5.63
split.by:All_cells\",\"Cell:ATCATCTGTGTTTGTG
Exp:0
split.by:All_cells\",\"Cell:CAAGGCCCAAGAAAGG
Exp:0
split.by:All_cells\",\"Cell:AGATCTGGTTCGGCAC
Exp:3.432
split.by:All_cells\",\"Cell:CTCTGGTCAAGACACG
Exp:0
split.by:All_cells\",\"Cell:TACAGTGTCCCTAACC
Exp:0
split.by:All_cells\",\"Cell:GGACAGATCAGCATGT
Exp:0
split.by:All_cells\",\"Cell:CACTCCACATATGGTC
Exp:0
split.by:All_cells\",\"Cell:GTTCATTGTTCCAACA
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCCAATAGCAA
Exp:1.213
split.by:All_cells\",\"Cell:TACTCGCTCTTCGGTC
Exp:6.886
split.by:All_cells\",\"Cell:GCTGCTTTCCTCGCAT
Exp:1.352
split.by:All_cells\",\"Cell:GCTGGGTGTCTAGAGG
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:CGAGCACTCTAACTCT
Exp:0
split.by:All_cells\",\"Cell:GATCGTAAGTGCAAGC
Exp:4.718
split.by:All_cells\",\"Cell:TGTCCCAGTCTCGTTC
Exp:0
split.by:All_cells\",\"Cell:CTTGGCTCAGCCACCA
Exp:0
split.by:All_cells\",\"Cell:GGGTCTGGTAAACCTC
Exp:0
split.by:All_cells\",\"Cell:CGGACTGTCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:GGTGCGTTCTGGTATG
Exp:0
split.by:All_cells\",\"Cell:TACCTTATCCGATATG
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCTCTATCGCC
Exp:0
split.by:All_cells\",\"Cell:GTACGTACATCGATGT
Exp:0
split.by:All_cells\",\"Cell:TCGTAGATCTTTACGT
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGAGAGTGAGA
Exp:1.418
split.by:All_cells\",\"Cell:AGCGTATTCTGCTGTC
Exp:0
split.by:All_cells\",\"Cell:GGACAAGTCATAACCG
Exp:0
split.by:All_cells\",\"Cell:ACATCAGTCCTTGGTC
Exp:0
split.by:All_cells\",\"Cell:CCAGCGACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:GGACAGAAGTGGAGAA
Exp:1.208
split.by:All_cells\",\"Cell:GACTACAAGCGTGTCC
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTAGAGCTG
Exp:0.89
split.by:All_cells\",\"Cell:GTTCTCGCAAGTCTAC
Exp:0
split.by:All_cells\",\"Cell:CGAATGTTCTTCATGT
Exp:0
split.by:All_cells\",\"Cell:CCGTGGACATTCCTGC
Exp:0
split.by:All_cells\",\"Cell:CTAATGGAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:AGCGGTCGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:GTATTCTTCACTTACT
Exp:0
split.by:All_cells\",\"Cell:CAGTCCTAGGTGGGTT
Exp:1.702
split.by:All_cells\",\"Cell:CGACTTCCACAACGTT
Exp:0
split.by:All_cells\",\"Cell:AAACGGGTCCGCGCAA
Exp:0
split.by:All_cells\",\"Cell:CTAGTGACATTGAGCT
Exp:0
split.by:All_cells\",\"Cell:CTCCTAGAGAGTGACC
Exp:0
split.by:All_cells\",\"Cell:GCAGTTATCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:CGAACATCAAGCGAGT
Exp:0.808
split.by:All_cells\",\"Cell:GGGAGATAGCGAAGGG
Exp:1.123
split.by:All_cells\",\"Cell:CATCGGGAGGCCCTTG
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGCTGCAAG
Exp:0
split.by:All_cells\",\"Cell:CAGAATCCACGCATCG
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CGGACACTCTATCCTA
Exp:2.947
split.by:All_cells\",\"Cell:CGTGTAATCATTATCC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAAGTTAAGATG
Exp:0
split.by:All_cells\",\"Cell:ATTTCTGTCCCTGACT
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CAGATCACAACCGCCA
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGCATTCCTCG
Exp:0
split.by:All_cells\",\"Cell:CCACGGACAGATGAGC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAAGAAGATTC
Exp:0
split.by:All_cells\",\"Cell:CATGACACAAAGTCAA
Exp:1.077
split.by:All_cells\",\"Cell:AACGTTGTCAGTTAGC
Exp:0
split.by:All_cells\",\"Cell:CTGGTCTAGGTGATTA
Exp:3.747
split.by:All_cells\",\"Cell:TCAGGATTCCAGTAGT
Exp:4.697
split.by:All_cells\",\"Cell:CATTATCGTCATATCG
Exp:0
split.by:All_cells\",\"Cell:GCGCAACAGTGTACCT
Exp:0
split.by:All_cells\",\"Cell:GTGCATACAATAGCAA
Exp:0
split.by:All_cells\",\"Cell:TTTACTGGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:GTAGTCAGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:CCTACACGTTCTCATT
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCTCAACACGT
Exp:0
split.by:All_cells\",\"Cell:CTAACTTGTAGGAGTC
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:GTAGGCCGTTACCAGT
Exp:0
split.by:All_cells\",\"Cell:TCTCATATCAGAGCTT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTGTCATACTG
Exp:0
split.by:All_cells\",\"Cell:GGGAATGTCGACCAGC
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCAGGGTTTCT
Exp:0
split.by:All_cells\",\"Cell:CGGACTGAGGTAGCTG
Exp:0
split.by:All_cells\",\"Cell:CAACCTCTCTCTGTCG
Exp:1.013
split.by:All_cells\",\"Cell:CTGAAACGTTCCCTTG
Exp:6.41
split.by:All_cells\",\"Cell:GTAGTCAGTACTCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCACCTATCC
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTACCGTTA
Exp:0
split.by:All_cells\",\"Cell:TTCTACAAGATCGATA
Exp:0
split.by:All_cells\",\"Cell:TCACAAGCACCGAAAG
Exp:0
split.by:All_cells\",\"Cell:TCGGGACGTCATCGGC
Exp:0.871
split.by:All_cells\",\"Cell:ACGCCAGAGGAACTGC
Exp:0
split.by:All_cells\",\"Cell:CATATGGCATGTTGAC
Exp:0.615
split.by:All_cells\",\"Cell:ATCATCTTCTGTCAAG
Exp:0
split.by:All_cells\",\"Cell:CCGTTCACAGTAGAGC
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTGTGGTCCGT
Exp:0.63
split.by:All_cells\",\"Cell:TTTGTCAGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:ATTATCCAGACCCACC
Exp:0
split.by:All_cells\",\"Cell:CACCACTCAATCTACG
Exp:0
split.by:All_cells\",\"Cell:GCGCGATGTCCGAATT
Exp:0
split.by:All_cells\",\"Cell:CATTATCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGCTAAGAT
Exp:0
split.by:All_cells\",\"Cell:GCGCGATTCGCGTAGC
Exp:0
split.by:All_cells\",\"Cell:CTACATTCACCGTTGG
Exp:0
split.by:All_cells\",\"Cell:TCATTTGCATTGGCGC
Exp:1.581
split.by:All_cells\",\"Cell:AGCAGCCCAGGAATGC
Exp:0
split.by:All_cells\",\"Cell:GGGATGAGTCTGCGGT
Exp:0
split.by:All_cells\",\"Cell:TGCGCAGTCTGCCAGG
Exp:0
split.by:All_cells\",\"Cell:AGCGTATTCTCGTATT
Exp:0.954
split.by:All_cells\",\"Cell:GTCTCGTAGATCTGCT
Exp:0
split.by:All_cells\",\"Cell:CAGAATCGTGTAAGTA
Exp:0
split.by:All_cells\",\"Cell:TGACTTTAGGTCATCT
Exp:1.041
split.by:All_cells\",\"Cell:GTGCATATCAGAGACG
Exp:1.487
split.by:All_cells\",\"Cell:TGGCCAGCACGAAAGC
Exp:0.84
split.by:All_cells\",\"Cell:TGGCGCACAATGTTGC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACGTCTGATCA
Exp:0
split.by:All_cells\",\"Cell:CAGCGACAGATCACGG
Exp:1.002
split.by:All_cells\",\"Cell:AAAGATGAGTGAACAT
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTGTCAGAGGT
Exp:5.384
split.by:All_cells\",\"Cell:ATTTCTGAGAAGATTC
Exp:0.949
split.by:All_cells\",\"Cell:CTCTAATTCACCATAG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTTCTTGTCAT
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGCTAGTCT
Exp:0.712
split.by:All_cells\",\"Cell:CCTAAAGTCATGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCACAGCTGTCTA
Exp:0
split.by:All_cells\",\"Cell:GAAATGACACATGACT
Exp:0
split.by:All_cells\",\"Cell:ACTGAGTAGGCTAGGT
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGAGCTGCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCACAGATCGGA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTTCTGGTGTA
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTCATACTCTT
Exp:0
split.by:All_cells\",\"Cell:ACTATCTGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCGATAGAA
Exp:0
split.by:All_cells\",\"Cell:GTTCTCGCAGCTGGCT
Exp:0
split.by:All_cells\",\"Cell:CATATGGAGGCCCGTT
Exp:0
split.by:All_cells\",\"Cell:ACTGAACAGCCTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGGTGCCT
Exp:0
split.by:All_cells\",\"Cell:CCCTCCTAGACCCACC
Exp:0
split.by:All_cells\",\"Cell:TTAACTCGTCCGAACC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCCATAAAGGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCAAACCAC
Exp:0
split.by:All_cells\",\"Cell:GTTCTCGGTTTGTGTG
Exp:0
split.by:All_cells\",\"Cell:ACATCAGTCCGTTGTC
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCCTTTCTC
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGCCAACAG
Exp:0.985
split.by:All_cells\",\"Cell:AAGACCTAGTAGGCCA
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCACGAGGTA
Exp:0
split.by:All_cells\",\"Cell:GGACAGAAGGCCGAAT
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCCACGTAAGG
Exp:0
split.by:All_cells\",\"Cell:TCCACACCAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:CACACCTGTCGCTTTC
Exp:0
split.by:All_cells\",\"Cell:GGCTCGAGTCGCTTCT
Exp:0
split.by:All_cells\",\"Cell:TGGCTGGCAGTGAGTG
Exp:6.628
split.by:All_cells\",\"Cell:GATGAAACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:TTCTTAGTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TCCCGATGTAAGTGTA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCTGCTGTC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGTGGTAGC
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTAAGAGAG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAGTTCGCTAA
Exp:0
split.by:All_cells\",\"Cell:CCATTCGGTGCTAGCC
Exp:0
split.by:All_cells\",\"Cell:CCACTACTCTTTAGTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTGAAATCA
Exp:0
split.by:All_cells\",\"Cell:ACCGTAATCTATCCCG
Exp:0
split.by:All_cells\",\"Cell:ACTTACTCAATACGCT
Exp:0
split.by:All_cells\",\"Cell:GAACGGATCACAACGT
Exp:0
split.by:All_cells\",\"Cell:CGGTTAAGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:CAAGAAACACTAGTAC
Exp:1.394
split.by:All_cells\",\"Cell:AGTTGGTGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:CGTCCATGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:CAGCTAACAACACGCC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACCATACGCTA
Exp:0
split.by:All_cells\",\"Cell:CTCGTACCAGCCAGAA
Exp:0
split.by:All_cells\",\"Cell:ATTATCCGTATAAACG
Exp:0
split.by:All_cells\",\"Cell:GTACTTTTCAGTTCGA
Exp:6.092
split.by:All_cells\",\"Cell:AGTAGTCCACATGACT
Exp:0
split.by:All_cells\",\"Cell:AGTGAGGTCTGTTGAG
Exp:0
split.by:All_cells\",\"Cell:TCTCATAAGCAGATCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGATCAGGATCT
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCCAAGTCATC
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTACTTCTT
Exp:0
split.by:All_cells\",\"Cell:GTCCTCAAGTTCGATC
Exp:0
split.by:All_cells\",\"Cell:GCCAAATGTAAACACA
Exp:0
split.by:All_cells\",\"Cell:ACTTACTGTTTGGGCC
Exp:0
split.by:All_cells\",\"Cell:ACTTACTCACCGTTGG
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGAGGACCACA
Exp:4.921
split.by:All_cells\",\"Cell:AAGACCTGTGGCTCCA
Exp:7.216
split.by:All_cells\",\"Cell:AACTTTCCACAGTCGC
Exp:0.914
split.by:All_cells\",\"Cell:CAGATCATCTCGATGA
Exp:0.588
split.by:All_cells\",\"Cell:TGTTCCGGTCAGCTAT
Exp:0.897
split.by:All_cells\",\"Cell:GCGCCAAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTTCGCACTCT
Exp:0
split.by:All_cells\",\"Cell:GTAACTGTCAGTGCAT
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:CGCCAAGTCTAAGCCA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCATGTAGC
Exp:0.807
split.by:All_cells\",\"Cell:ATGCGATGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGACAGACC
Exp:0.799
split.by:All_cells\",\"Cell:GTCAAGTAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACAGTCACTA
Exp:0
split.by:All_cells\",\"Cell:TATCTCACATTGTGCA
Exp:0
split.by:All_cells\",\"Cell:CGTAGCGAGACTGTAA
Exp:0
split.by:All_cells\",\"Cell:ACGATGTGTCGCGGTT
Exp:0
split.by:All_cells\",\"Cell:CTCTGGTTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTAGTAAGTAC
Exp:1.404
split.by:All_cells\",\"Cell:CAGAATCCACAAGCCC
Exp:0
split.by:All_cells\",\"Cell:GTAACTGGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AACTTTCGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCAATCCGAT
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCAGTGTCCCG
Exp:0
split.by:All_cells\",\"Cell:TATTACCGTTGAGTTC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCATCAGAGCTT
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCGCCTGAG
Exp:0
split.by:All_cells\",\"Cell:TCGTACCCATATACGC
Exp:0.969
split.by:All_cells\",\"Cell:TGGTTCCGTTGATTCG
Exp:0.55
split.by:All_cells\",\"Cell:AGAGCTTCATTCGACA
Exp:7.327
split.by:All_cells\",\"Cell:GGTGTTACATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CCTCTGACATCGGTTA
Exp:0
split.by:All_cells\",\"Cell:CTCTACGCACTAAGTC
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGGTGAAGGCT
Exp:1.213
split.by:All_cells\",\"Cell:ACGTCAACAGACAAAT
Exp:0.771
split.by:All_cells\",\"Cell:TCGAGGCAGTTAACGA
Exp:0.791
split.by:All_cells\",\"Cell:CAAGTTGTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTACTTGAC
Exp:0.946
split.by:All_cells\",\"Cell:AGAGCTTTCTTGAGGT
Exp:0
split.by:All_cells\",\"Cell:GCACATAAGCAATATG
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGTGACATA
Exp:1.032
split.by:All_cells\",\"Cell:TGTGGTACAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TAAGAGACAGTAGAGC
Exp:0
split.by:All_cells\",\"Cell:CACATTTTCGAGGTAG
Exp:0
split.by:All_cells\",\"Cell:AGACGTTCAATGGTCT
Exp:1.021
split.by:All_cells\",\"Cell:GGAACTTGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGATCTAGCACA
Exp:0
split.by:All_cells\",\"Cell:CGTAGCGTCACTATTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCACTGTGTA
Exp:0
split.by:All_cells\",\"Cell:TGCGCAGTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCGGAATCT
Exp:1.046
split.by:All_cells\",\"Cell:ACTGATGGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CAGTAACAGCCACCTG
Exp:0
split.by:All_cells\",\"Cell:ACTGATGAGTGCAAGC
Exp:0
split.by:All_cells\",\"Cell:CTGCTGTGTTGTGGCC
Exp:0
split.by:All_cells\",\"Cell:GAGTCCGCAATTGCTG
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTAGCGTAATA
Exp:0
split.by:All_cells\",\"Cell:GTCATTTGTCTCAACA
Exp:0
split.by:All_cells\",\"Cell:GACTAACCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:GGTGAAGAGCAGGTCA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGTCTGATACG
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTCACCGAATT
Exp:1.009
split.by:All_cells\",\"Cell:CAGGTGCAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAAGCTACCTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCGTGCAGACA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGAGTTTGCGT
Exp:0
split.by:All_cells\",\"Cell:TCTATTGCAGTAAGCG
Exp:0
split.by:All_cells\",\"Cell:TTGGCAATCGGATGGA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGAGTCATCCA
Exp:0
split.by:All_cells\",\"Cell:CACCACTTCAGCTTAG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAGTATCGCAT
Exp:0
split.by:All_cells\",\"Cell:ACGGGCTAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAGTGTATGGG
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTCAGAAGC
Exp:3.032
split.by:All_cells\",\"Cell:GATCGATAGAAAGTGG
Exp:1.214
split.by:All_cells\",\"Cell:TGCGGGTTCCAGGGCT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGTCCTACAGA
Exp:0
split.by:All_cells\",\"Cell:AGGGATGTCGCATGGC
Exp:0
split.by:All_cells\",\"Cell:TGCCCTACAATCACAC
Exp:0
split.by:All_cells\",\"Cell:CCCATACTCGTGGACC
Exp:0
split.by:All_cells\",\"Cell:GACTAACCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:TCACAAGAGCCACTAT
Exp:1.004
split.by:All_cells\",\"Cell:GGCAATTTCACATGCA
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCAGGAATGGA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:GCATGTAAGAATCTCC
Exp:0
split.by:All_cells\",\"Cell:GTTACAGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:GTTCGGGAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGTCTGGAGCC
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCGTTTAGG
Exp:0
split.by:All_cells\",\"Cell:GCATGCGCAAATTGCC
Exp:0
split.by:All_cells\",\"Cell:TCAACGACACCATCCT
Exp:0.432
split.by:All_cells\",\"Cell:CCTCTGATCATGTCTT
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCTTCTGGC
Exp:0.935
split.by:All_cells\",\"Cell:CTCAGAATCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:CGTCCATCATGGTAGG
Exp:0
split.by:All_cells\",\"Cell:TTAGTTCCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCAACACGT
Exp:0
split.by:All_cells\",\"Cell:CAGCAGCAGAGGTACC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGGTTCTCATT
Exp:0
split.by:All_cells\",\"Cell:CTAGCCTGTGCGATAG
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGGTCTCCACT
Exp:0
split.by:All_cells\",\"Cell:GCATGATCATGCATGT
Exp:0
split.by:All_cells\",\"Cell:TACGGTATCCCATTTA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGAAGCTAGGCA
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTCGAGTTT
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTACGAAAT
Exp:0
split.by:All_cells\",\"Cell:GTATTCTTCAGGTAAA
Exp:0
split.by:All_cells\",\"Cell:TACCTATGTAACGTTC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGCAACGATGG
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTTCAGCACAT
Exp:0
split.by:All_cells\",\"Cell:TGCCAAACATGACATC
Exp:0
split.by:All_cells\",\"Cell:CTAAGACGTACTCTCC
Exp:0.84
split.by:All_cells\",\"Cell:CGATGGCTCAGTGTTG
Exp:0
split.by:All_cells\",\"Cell:CCAGCGACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:TGAGAGGAGCCAGGAT
Exp:6.437
split.by:All_cells\",\"Cell:AGAGCGACACAACTGT
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTTCCTTTCGG
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGTCCGGTC
Exp:1.029
split.by:All_cells\",\"Cell:GGGATGATCTGTCCGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACATCCTAGA
Exp:0.845
split.by:All_cells\",\"Cell:GCACATATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:CATCCACCAGATGGGT
Exp:0
split.by:All_cells\",\"Cell:TGCCCTATCATAAAGG
Exp:1.015
split.by:All_cells\",\"Cell:ACTGTCCAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCACTTCC
Exp:0
split.by:All_cells\",\"Cell:GACAGAGCAGTCAGAG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTTCAGTCCCT
Exp:1.127
split.by:All_cells\",\"Cell:AATCGGTGTCACACGC
Exp:0
split.by:All_cells\",\"Cell:TACGGATAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGCAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:CCACGGAGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTATTG
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCACCAGGCT
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:CACCAGGGTACCTACA
Exp:0
split.by:All_cells\",\"Cell:GGCCGATTCAGAGACG
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCTAAGCCA
Exp:0
split.by:All_cells\",\"Cell:GACTGCGGTCGCCATG
Exp:0
split.by:All_cells\",\"Cell:GAATGAACAGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:CGCTGGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTAATGGCATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGATCAATCTCT
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTTCGTACGGC
Exp:0
split.by:All_cells\",\"Cell:TTCCCAGAGGATTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTCATCTCCCA
Exp:1.023
split.by:All_cells\",\"Cell:GTGCGGTAGTGAATTG
Exp:0
split.by:All_cells\",\"Cell:TACCTATGTCCAACTA
Exp:1.117
split.by:All_cells\",\"Cell:TACTTGTAGACAAAGG
Exp:0
split.by:All_cells\",\"Cell:GTCCTCACACCACGTG
Exp:0
split.by:All_cells\",\"Cell:TAAACCGCATTCCTCG
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:TCAGCTCAGGCTATCT
Exp:4.589
split.by:All_cells\",\"Cell:CACAGTAGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGCACACATGT
Exp:0
split.by:All_cells\",\"Cell:ACGGCCACACGCTTTC
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCATTCCTGC
Exp:0.916
split.by:All_cells\",\"Cell:CTCAGAATCAGGTTCA
Exp:0.96
split.by:All_cells\",\"Cell:TGAGGGACAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:TACGGTATCTTTCCTC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGAGCGTTGCC
Exp:1.006
split.by:All_cells\",\"Cell:CAGCGACCACAGGAGT
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGCTTGC
Exp:0
split.by:All_cells\",\"Cell:GTCACGGCATACTACG
Exp:1.042
split.by:All_cells\",\"Cell:AAGGCAGTCCGAGCCA
Exp:0
split.by:All_cells\",\"Cell:GGACAGATCCTGCAGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTCCATCCT
Exp:0
split.by:All_cells\",\"Cell:AACTTTCCACTGCCAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTCATGCCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGAGTGCACCAC
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTGACTCAT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTGCGGCA
Exp:0
split.by:All_cells\",\"Cell:GGCGACTCACCAGGTC
Exp:1.152
split.by:All_cells\",\"Cell:GGGACCTAGCTGCCCA
Exp:0.946
split.by:All_cells\",\"Cell:AATCGGTCAAACAACA
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTACATCCA
Exp:0
split.by:All_cells\",\"Cell:CATGGCGAGAGTCTGG
Exp:0.925
split.by:All_cells\",\"Cell:CGTGTAATCGTTGACA
Exp:0
split.by:All_cells\",\"Cell:CGATCGGAGCTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGCACCTAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:GAACGGACAAGGTGTG
Exp:2.012
split.by:All_cells\",\"Cell:TTGTAGGGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGGGTGAAGGTGCAAC
Exp:0
split.by:All_cells\",\"Cell:CTACACCCAGGGCATA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCGTTATCCGA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCTCTTGCATT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTCCAGG
Exp:5.419
split.by:All_cells\",\"Cell:AAGTCTGGTCTCCATC
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTGTGTAAGTA
Exp:0
split.by:All_cells\",\"Cell:CGCTATCAGGTGATAT
Exp:0
split.by:All_cells\",\"Cell:AACTCTTAGCTAACAA
Exp:3.24
split.by:All_cells\",\"Cell:GTGTGCGGTAGTACCT
Exp:0
split.by:All_cells\",\"Cell:GGGTCTGCAGCAGTTT
Exp:7.232
split.by:All_cells\",\"Cell:CGTAGGCCAACACCCG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACTCTACCTGC
Exp:0
split.by:All_cells\",\"Cell:CATCGAAAGATGTTAG
Exp:0
split.by:All_cells\",\"Cell:GCAATCACAGCTGCTG
Exp:0
split.by:All_cells\",\"Cell:AACACGTAGTAATCCC
Exp:3.323
split.by:All_cells\",\"Cell:GATCTAGCATCACCCT
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTTCGG
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAGTTAGAACA
Exp:0
split.by:All_cells\",\"Cell:GAGCAGAAGCCAGTTT
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGGTAAGTAGT
Exp:2.854
split.by:All_cells\",\"Cell:GGACAGAGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGGATATAC
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTATAATGG
Exp:0.872
split.by:All_cells\",\"Cell:CTTCTCTCATGCGCAC
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:GTACTCCGTAGCGATG
Exp:0
split.by:All_cells\",\"Cell:CTGTGCTCAGCTCCGA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCAAGAAGT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACACGGTAAG
Exp:0
split.by:All_cells\",\"Cell:CAACCAAAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAAGTGGTAAT
Exp:0
split.by:All_cells\",\"Cell:CGAATGTAGTTCCACA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGACAATCGGTT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCCAGTATG
Exp:1.169
split.by:All_cells\",\"Cell:TTCTTAGTCGGCGCTA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCTGACCTC
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTCCACTC
Exp:0.599
split.by:All_cells\",\"Cell:TAAACCGAGGATGGAA
Exp:0
split.by:All_cells\",\"Cell:CTTACCGCAAAGTCAA
Exp:0.601
split.by:All_cells\",\"Cell:CGGTTAATCGTCTGAA
Exp:0
split.by:All_cells\",\"Cell:CTCGTCATCGGTCTAA
Exp:0.913
split.by:All_cells\",\"Cell:GTTAAGCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAATCTGCA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGCGTCTAT
Exp:0.92
split.by:All_cells\",\"Cell:TGGACGCGTATTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCACGGAAGATCCTGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTTTAGGG
Exp:0
split.by:All_cells\",\"Cell:CAGTAACCATGCCTAA
Exp:0
split.by:All_cells\",\"Cell:AGTAGTCAGCGTTCCG
Exp:0.991
split.by:All_cells\",\"Cell:ACGAGCCCACCTTGTC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTGTATATCCG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACGCGTAGACGCACA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTGTGATAAGT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCACAAGCCC
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCGGCACA
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGTCTTTACGT
Exp:0
split.by:All_cells\",\"Cell:CATCAGATCATCGCTC
Exp:0
split.by:All_cells\",\"Cell:CTTGGCTCATCCCACT
Exp:2.167
split.by:All_cells\",\"Cell:AGCATACGTCGCGAAA
Exp:7.686
split.by:All_cells\",\"Cell:CTTAACTGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:GTTTCTATCAACGGCC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAGTGACAAAT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCGTTATGTGC
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTAGGTGCTAG
Exp:1.656
split.by:All_cells\",\"Cell:GAATGAACAATCGAAA
Exp:0.772
split.by:All_cells\",\"Cell:CCTACACAGATCCGAG
Exp:0
split.by:All_cells\",\"Cell:GATGCTACAAGCGCTC
Exp:0
split.by:All_cells\",\"Cell:GTTACAGTCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGACCTTTG
Exp:0
split.by:All_cells\",\"Cell:GACTACACATATGAGA
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAAGTGGTCCC
Exp:0
split.by:All_cells\",\"Cell:CGTTAGATCAGTCAGT
Exp:0
split.by:All_cells\",\"Cell:GTGCTTCTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:GATGAGGAGAAACCTA
Exp:0
split.by:All_cells\",\"Cell:GAAATGATCTTCAACT
Exp:0
split.by:All_cells\",\"Cell:GCTCCTAGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCATGCAAC
Exp:0
split.by:All_cells\",\"Cell:CGACCTTCACACAGAG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTACGCACC
Exp:1.289
split.by:All_cells\",\"Cell:GCACTCTTCCGGCACA
Exp:0
split.by:All_cells\",\"Cell:GTACTCCTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:CACATAGTCATTGCGA
Exp:0.786
split.by:All_cells\",\"Cell:CTGAAACGTATGGTTC
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCAGTCTCAAC
Exp:0
split.by:All_cells\",\"Cell:CCTTTCTTCTTCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACGTAGCGCAA
Exp:0
split.by:All_cells\",\"Cell:TTGGAACGTCCGTTAA
Exp:0
split.by:All_cells\",\"Cell:CATTATCAGCTCCCAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGTCCATAACCTG
Exp:3.085
split.by:All_cells\",\"Cell:GTGCAGCTCGTTTATC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACCTCAGCGTGAAC
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACCGTTA
Exp:3.313
split.by:All_cells\",\"Cell:CGATTGAAGTTAGCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:GGACGTCCAGTATCTG
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGTCGGAT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGGTCATCT
Exp:0
split.by:All_cells\",\"Cell:CAAGGCCTCGTACCGG
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:GCAAACTTCGGAATCT
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCACGGTGTC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTTGGACCC
Exp:4.949
split.by:All_cells\",\"Cell:CTCGAGGTCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCATCGGAT
Exp:0
split.by:All_cells\",\"Cell:TGGTTAGCAGTCGTGC
Exp:1.205
split.by:All_cells\",\"Cell:CTCTAATAGTTATCGC
Exp:0
split.by:All_cells\",\"Cell:AACTCTTAGCTGCGAA
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCACGAAGG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTGTAGTGAAT
Exp:0
split.by:All_cells\",\"Cell:GGGTTGCTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:ATCCGAACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:TTCTCAATCACTCCTG
Exp:1.152
split.by:All_cells\",\"Cell:ACTGATGTCCCTAACC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTGTCTAAACC
Exp:1.364
split.by:All_cells\",\"Cell:TCGCGAGTCGACGGAA
Exp:0
split.by:All_cells\",\"Cell:AAATGCCAGACTAAGT
Exp:0.615
split.by:All_cells\",\"Cell:TACGGGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCATTTGCCC
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGTCGCCGTGA
Exp:1.045
split.by:All_cells\",\"Cell:CACATAGAGGGAAACA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGCATCGTCGG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGCAGTACACT
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCTCAACCATG
Exp:0
split.by:All_cells\",\"Cell:GTGTTAGAGTTTCCTT
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTAGTACTTGC
Exp:0
split.by:All_cells\",\"Cell:CACATTTGTATAGTAG
Exp:0
split.by:All_cells\",\"Cell:GTGCATAAGAATGTTG
Exp:0
split.by:All_cells\",\"Cell:GGACATTAGAAACCAT
Exp:0.754
split.by:All_cells\",\"Cell:TCTCTAAGTGGCAAAC
Exp:0
split.by:All_cells\",\"Cell:ACGATACTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGCACGAAATA
Exp:0
split.by:All_cells\",\"Cell:CATGACACATCCGCGA
Exp:1.373
split.by:All_cells\",\"Cell:ACGGGTCAGGGTGTTG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTTCGGCGCAT
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCGTGCGATAG
Exp:0
split.by:All_cells\",\"Cell:CGTTGGGGTTTAAGCC
Exp:0
split.by:All_cells\",\"Cell:AACTCAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTAGATCGATA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGTCACAATGC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:ATGCGATAGAAACGAG
Exp:0
split.by:All_cells\",\"Cell:TATGCCCTCTTCCTTC
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCGGAAACG
Exp:0
split.by:All_cells\",\"Cell:CGATGGCCAACTGGCC
Exp:1.586
split.by:All_cells\",\"Cell:CAGCCGAGTAGCCTAT
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTGGTGTAG
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCTCAAACG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCCAAGTAC
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCAGCAACGGT
Exp:0
split.by:All_cells\",\"Cell:CCTACACCATTATCTC
Exp:0.975
split.by:All_cells\",\"Cell:CTGAAACTCTGTTTGT
Exp:0
split.by:All_cells\",\"Cell:CCATGTCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CAGCCGAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGACGGCGTCAGGACA
Exp:1.083
split.by:All_cells\",\"Cell:ACTGATGCACATGACT
Exp:0
split.by:All_cells\",\"Cell:ATCATCTGTAGGACAC
Exp:2.988
split.by:All_cells\",\"Cell:ATCTGCCGTCATATGC
Exp:0
split.by:All_cells\",\"Cell:TACACGAAGATCCCAT
Exp:0
split.by:All_cells\",\"Cell:CATCCACGTTACGACT
Exp:0.789
split.by:All_cells\",\"Cell:AGATCTGCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCAATCCAAC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTCAATGAAAC
Exp:1.016
split.by:All_cells\",\"Cell:GTGCTTCTCACGACTA
Exp:0
split.by:All_cells\",\"Cell:GATCGTACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGAACAACT
Exp:0
split.by:All_cells\",\"Cell:CTACACCCATCAGTCA
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCATCAGTTCGA
Exp:0
split.by:All_cells\",\"Cell:ATAGACCAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACACGCAGTATGACA
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCCATGATCCA
Exp:0
split.by:All_cells\",\"Cell:CGTCTACTCAGTCCCT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTCACTACAGT
Exp:0
split.by:All_cells\",\"Cell:GATCAGTTCCCGGATG
Exp:0
split.by:All_cells\",\"Cell:GATCTAGGTGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGGTCAGATAA
Exp:0.751
split.by:All_cells\",\"Cell:CTCGTACGTTGGTTTG
Exp:0
split.by:All_cells\",\"Cell:TTGGCAATCGAACGGA
Exp:0.652
split.by:All_cells\",\"Cell:CATCGAAGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTCAACTGT
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTCAAAGTGCG
Exp:0
split.by:All_cells\",\"Cell:GAAGCAGGTCTAGAGG
Exp:5.828
split.by:All_cells\",\"Cell:CCCAGTTGTGCGCTTG
Exp:0
split.by:All_cells\",\"Cell:ATTCTACGTTTAGGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAATGCACATTTCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCCTGCTTG
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGAGCCCAA
Exp:0
split.by:All_cells\",\"Cell:GTGCAGCGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACGTTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTTCATTCACT
Exp:0
split.by:All_cells\",\"Cell:GATGCTATCCCTCTTT
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCACGCCAGT
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTTCTGATTCT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTCACGAGGTA
Exp:0
split.by:All_cells\",\"Cell:TCTATTGGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:TCACGAACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:CGAACATTCACAAACC
Exp:0.49
split.by:All_cells\",\"Cell:TCTATTGTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGACACTAA
Exp:2.984
split.by:All_cells\",\"Cell:GCGAGAAGTGGGTATG
Exp:1.181
split.by:All_cells\",\"Cell:TTCTCAAAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGTCTGTTGAG
Exp:0
split.by:All_cells\",\"Cell:ACATACGAGCTATGCT
Exp:0
split.by:All_cells\",\"Cell:ACGATACAGTCATCCA
Exp:6.233
split.by:All_cells\",\"Cell:ACGCAGCGTTCATGGT
Exp:7.114
split.by:All_cells\",\"Cell:TTAACTCCACGAGAGT
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGAGGCACATG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATTCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAATCGCAAACT
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGCATACTCTT
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATATGGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGCGTGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCCGCGCAA
Exp:0
split.by:All_cells\",\"Cell:CCTTCCCCAAAGTGCG
Exp:0
split.by:All_cells\",\"Cell:GTAACTGAGCCGGTAA
Exp:0.875
split.by:All_cells\",\"Cell:AGCATACCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:CATCAAGGTGGTCTCG
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTGTCTCGTTC
Exp:0
split.by:All_cells\",\"Cell:CTGATAGAGCTCAACT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCTCGTCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCTCCAACC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAACATGGTCTA
Exp:0
split.by:All_cells\",\"Cell:GTTCATTAGGGTCTCC
Exp:0
split.by:All_cells\",\"Cell:GCGACCATCACCAGGC
Exp:0
split.by:All_cells\",\"Cell:GTACTTTCATGGTCAT
Exp:0
split.by:All_cells\",\"Cell:TCAGCAAAGCGATGAC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAGACCATCTTATCTG
Exp:0
split.by:All_cells\",\"Cell:AGACGTTAGCCGATTT
Exp:0
split.by:All_cells\",\"Cell:GAACCTACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:CCAATCCAGAGTAAGG
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTACAGTTC
Exp:0
split.by:All_cells\",\"Cell:CAGGTGCGTACAAGTA
Exp:0
split.by:All_cells\",\"Cell:GCTCCTATCTCACATT
Exp:0
split.by:All_cells\",\"Cell:TATCAGGCACCAGTTA
Exp:0
split.by:All_cells\",\"Cell:TGCTACCCATAAGACA
Exp:1.186
split.by:All_cells\",\"Cell:GATTCAGAGTACGTTC
Exp:0
split.by:All_cells\",\"Cell:CGGACTGCATCCCATC
Exp:0
split.by:All_cells\",\"Cell:GCGCCAACACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:AGGTCATTCTGCGTAA
Exp:0
split.by:All_cells\",\"Cell:CTACCCAGTCAAACTC
Exp:0
split.by:All_cells\",\"Cell:TGGCCAGAGCTACCTA
Exp:0.59
split.by:All_cells\",\"Cell:TGTCCCACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGAGGAATTAC
Exp:3.35
split.by:All_cells\",\"Cell:TACAGTGAGCGTTTAC
Exp:3.851
split.by:All_cells\",\"Cell:CGATTGAAGTCTTGCA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCGTCACAAGG
Exp:0
split.by:All_cells\",\"Cell:GTCTCGTCACGTGAGA
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTCAGCATACT
Exp:0
split.by:All_cells\",\"Cell:GCTTGAACATTTGCTT
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTTCGCTTAGA
Exp:0.701
split.by:All_cells\",\"Cell:GATCAGTAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:GTACTTTAGATATGCA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGTCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:TCAGATGGTAGATTAG
Exp:0
split.by:All_cells\",\"Cell:TGTCCCAAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCTCAGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CTAAGACTCACTCCTG
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCTTAGAGC
Exp:0.807
split.by:All_cells\",\"Cell:CACACCTCATTGTGCA
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTAGCGTAG
Exp:1.009
split.by:All_cells\",\"Cell:ACTGAACAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGATGGGTC
Exp:2.366
split.by:All_cells\",\"Cell:GGAAAGCGTACGCACC
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CCCTCCTGTCTAACGT
Exp:0.984
split.by:All_cells\",\"Cell:TTAGGCAGTGTGAATA
Exp:0
split.by:All_cells\",\"Cell:TCGGTAACAGGGTACA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTCACCGAATT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTAGGAGTC
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGACGCTTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCTTCAAG
Exp:0
split.by:All_cells\",\"Cell:ATAAGAGTCCACGTTC
Exp:0
split.by:All_cells\",\"Cell:GATCGTAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTAAACT
Exp:0
split.by:All_cells\",\"Cell:CACCACTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCCACTCTGTC
Exp:0
split.by:All_cells\",\"Cell:GCATGTATCACGATGT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGATGGGTC
Exp:0
split.by:All_cells\",\"Cell:CGCGTTTGTATTACCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCAGGTGTTAA
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCAGAGGTG
Exp:0
split.by:All_cells\",\"Cell:TTCGAAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGGTGATGCCC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGTCCAGAGGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGACAGTAAGAT
Exp:0
split.by:All_cells\",\"Cell:CATCGAAGTAGCGTCC
Exp:0
split.by:All_cells\",\"Cell:TGGACGCTCTTGTTTG
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGGTCACCTAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAAACGCGA
Exp:2.831
split.by:All_cells\",\"Cell:CGTCACTGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:GCGACCACACGTTGGC
Exp:0
split.by:All_cells\",\"Cell:CCATGTCGTTTGCATG
Exp:0
split.by:All_cells\",\"Cell:TGCCAAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGGTAGCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGAGAACAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACTAGAGCTTCGCG
Exp:0
split.by:All_cells\",\"Cell:CGGACTGCAGCCAATT
Exp:1.714
split.by:All_cells\",\"Cell:GACCAATAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:GGACGTCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:AGGTCCGAGTTACCCA
Exp:0.999
split.by:All_cells\",\"Cell:GGAAAGCGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:CCGGGATGTACCGCTG
Exp:0.641
split.by:All_cells\",\"Cell:CATCCACAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:CGCTATCCAGGCAGTA
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACACTGTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTTCTCGTATT
Exp:0
split.by:All_cells\",\"Cell:CGGACGTAGACAGACC
Exp:0
split.by:All_cells\",\"Cell:AGTTGGTTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTCCAGTAT
Exp:1.515
split.by:All_cells\",\"Cell:TATGCCCAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATGACATC
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGCACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:ACCCACTTCTGAGGGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCTCGTTGCCT
Exp:0.932
split.by:All_cells\",\"Cell:ACGATGTTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TGACAACTCGCACTCT
Exp:0
split.by:All_cells\",\"Cell:GACGCGTCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CATATGGTCAACACAC
Exp:0
split.by:All_cells\",\"Cell:AGTGGGAGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ATTGGTGTCCAGTATG
Exp:0.784
split.by:All_cells\",\"Cell:GATGCTAAGCGATAGC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:TTCTCAACAGTTTACG
Exp:0
split.by:All_cells\",\"Cell:TCACAAGAGCATGGCA
Exp:0.99
split.by:All_cells\",\"Cell:GGAATAACACGACGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAGATGTTAAAGAC
Exp:5.46
split.by:All_cells\",\"Cell:AACTTTCGTGACCAAG
Exp:0.904
split.by:All_cells\",\"Cell:CGAGAAGCACTTACGA
Exp:0
split.by:All_cells\",\"Cell:AACTCCCAGTACGACG
Exp:0
split.by:All_cells\",\"Cell:CGTTAGAAGTATCTCG
Exp:0
split.by:All_cells\",\"Cell:CCTATTACAAACGTGG
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTAGATCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCATTCGCAAGCCATT
Exp:0
split.by:All_cells\",\"Cell:GTATCTTGTACTCAAC
Exp:0
split.by:All_cells\",\"Cell:TGCTACCCAGGGCATA
Exp:0
split.by:All_cells\",\"Cell:GGAACTTAGGTTACCT
Exp:1.035
split.by:All_cells\",\"Cell:AGATTGCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACGTTCAGTAC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCATCACATAGC
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGAGGAATGGA
Exp:0
split.by:All_cells\",\"Cell:ATTATCCCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCAACTGCGC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCAAAGAATC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTAGTCTCGGC
Exp:0
split.by:All_cells\",\"Cell:TCTGGAAGTCATCGGC
Exp:0
split.by:All_cells\",\"Cell:AAATGCCCACCAACCG
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCGCTTGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGTTACACCTCGGA
Exp:6.15
split.by:All_cells\",\"Cell:CTCGAGGCAAGTCTGT
Exp:0
split.by:All_cells\",\"Cell:CGGACTGTCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTCAAATTGCC
Exp:0
split.by:All_cells\",\"Cell:ATTGGTGGTACTTGAC
Exp:0.906
split.by:All_cells\",\"Cell:GCCTCTAAGAGTTGGC
Exp:0.949
split.by:All_cells\",\"Cell:CGGCTAGGTAACGACG
Exp:0
split.by:All_cells\",\"Cell:AAAGATGAGTCATGCT
Exp:0.938
split.by:All_cells\",\"Cell:GTACTCCCACGTCTCT
Exp:0
split.by:All_cells\",\"Cell:TTGAACGAGGAATCGC
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCGATAGAA
Exp:0
split.by:All_cells\",\"Cell:CTCTAATTCAGCGACC
Exp:0
split.by:All_cells\",\"Cell:TATGCCCAGAACAATC
Exp:1.023
split.by:All_cells\",\"Cell:AACCATGGTTGAACTC
Exp:0
split.by:All_cells\",\"Cell:CAGCATAGTAATAGCA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTTCCTCAATT
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCTGGCGAC
Exp:1.168
split.by:All_cells\",\"Cell:ATCACGATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:GAGCAGAGTTTGCATG
Exp:0.722
split.by:All_cells\",\"Cell:TGCACCTAGATAGTCA
Exp:1.147
split.by:All_cells\",\"Cell:CAGCCGAAGTGACTCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCTGGTATG
Exp:0.654
split.by:All_cells\",\"Cell:AGCTCCTAGTACACCT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGCGATGAC
Exp:0.562
split.by:All_cells\",\"Cell:TCCACACTCACGATGT
Exp:0
split.by:All_cells\",\"Cell:TCAGATGCACGACGAA
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCAACACTG
Exp:0
split.by:All_cells\",\"Cell:CTTAGGACATCTATGG
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAAGTAGATGT
Exp:1.399
split.by:All_cells\",\"Cell:ATCTACTGTGAACCTT
Exp:0
split.by:All_cells\",\"Cell:CGATGTAGTGGTACAG
Exp:0
split.by:All_cells\",\"Cell:CTAGCCTGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTGAGTGT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTGACAT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCTCCATGAGT
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAGTACCGAGA
Exp:0.993
split.by:All_cells\",\"Cell:ACTGAGTGTTTCGCTC
Exp:1.02
split.by:All_cells\",\"Cell:AGAGCGATCTCTTGAT
Exp:0
split.by:All_cells\",\"Cell:GAAGCAGTCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:GTCGTAAAGGTGATTA
Exp:0
split.by:All_cells\",\"Cell:CACACTCAGGCGCTCT
Exp:0.998
split.by:All_cells\",\"Cell:TGGGAAGGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CGCGGTACATTAGGCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAAAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTGTTCGTCTC
Exp:0
split.by:All_cells\",\"Cell:CTGGTCTTCGTTACAG
Exp:0
split.by:All_cells\",\"Cell:TCTCTAAAGCTGGAAC
Exp:1.688
split.by:All_cells\",\"Cell:CGGTTAAAGTAGCGGT
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CCTTACGCAAGGTGTG
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCACGAAGCA
Exp:6.434
split.by:All_cells\",\"Cell:CAACCTCGTCTAAACC
Exp:0
split.by:All_cells\",\"Cell:AGCGGTCGTACCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTCGTCATCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:GGCCGATGTCAAACTC
Exp:0.859
split.by:All_cells\",\"Cell:TTCTACAGTGTTGAGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGAGCGCCTTG
Exp:0
split.by:All_cells\",\"Cell:GATCGATCAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TTGGCAACATCATCCC
Exp:6.189
split.by:All_cells\",\"Cell:TTTATGCTCCATTCTA
Exp:1.042
split.by:All_cells\",\"Cell:AACTTTCAGGCATTGG
Exp:0.98
split.by:All_cells\",\"Cell:GCCTCTAGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCAGATGGCGT
Exp:0
split.by:All_cells\",\"Cell:TACGGTAGTGTGCCTG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCAGATATGCA
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTTCGTGGGAA
Exp:1.244
split.by:All_cells\",\"Cell:AAGCCGCAGGAGTTGC
Exp:0
split.by:All_cells\",\"Cell:CTGAAACAGGAGTAGA
Exp:1.064
split.by:All_cells\",\"Cell:CATGGCGAGCCCTAAT
Exp:0.973
split.by:All_cells\",\"Cell:ACATGGTCAAGGACTG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCTCTAGC
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCAAAGAATC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTAGCCACCTG
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCACAGGCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGTCATCGATG
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGGTGTGGT
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACACGGCCAT
Exp:0
split.by:All_cells\",\"Cell:CGTGTAATCCATGCTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGCATCAGTAC
Exp:0
split.by:All_cells\",\"Cell:GGGATGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTCGTACGTTCCGTCT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGACATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ATCTGCCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGAGCAATT
Exp:0
split.by:All_cells\",\"Cell:CACACAACACACTGCG
Exp:0
split.by:All_cells\",\"Cell:TAGGCATTCGTTGCCT
Exp:0
split.by:All_cells\",\"Cell:TCTCTAATCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:ACACCCTGTCAGATAA
Exp:0
split.by:All_cells\",\"Cell:AGATCTGTCGATCCCT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTTCTCGCTTG
Exp:0
split.by:All_cells\",\"Cell:CTACGTCAGTCTCGGC
Exp:0
split.by:All_cells\",\"Cell:CATCCACTCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TCTCATACAGATCTGT
Exp:0
split.by:All_cells\",\"Cell:CACACCTCACTGCCAG
Exp:0
split.by:All_cells\",\"Cell:CTCGTACCAATGGATA
Exp:0
split.by:All_cells\",\"Cell:ACACCAAAGTAGGCCA
Exp:0
split.by:All_cells\",\"Cell:TACACGAGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGTATTGGA
Exp:0
split.by:All_cells\",\"Cell:AGACGTTTCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTGTGAATA
Exp:6.287
split.by:All_cells\",\"Cell:GCACTCTGTCTGCAAT
Exp:0
split.by:All_cells\",\"Cell:TGTGGTACAAGACGTG
Exp:0
split.by:All_cells\",\"Cell:AGGCCGTCACGACGAA
Exp:0
split.by:All_cells\",\"Cell:TATGCCCTCTTACCTA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTCACGGACAA
Exp:1.548
split.by:All_cells\",\"Cell:GTCGGGTGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCGTAGGTT
Exp:0
split.by:All_cells\",\"Cell:CGTCTACGTTTCCACC
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCAGACATAAC
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGAGTGGAGAA
Exp:0
split.by:All_cells\",\"Cell:CTGATAGTCGGCTACG
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACGTCCATCCT
Exp:0
split.by:All_cells\",\"Cell:CATGACAGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:GACCAATAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:CAGCGACCATATGGTC
Exp:1.128
split.by:All_cells\",\"Cell:TGCTGCTGTCCGTCAG
Exp:0
split.by:All_cells\",\"Cell:TCAGATGCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:TATCAGGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:GGGAATGGTCGGCTCA
Exp:0.847
split.by:All_cells\",\"Cell:TAGTTGGAGTCAAGCG
Exp:0.954
split.by:All_cells\",\"Cell:TACCTATTCGTTACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGAGGGAAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTTCCTTTCGG
Exp:0.593
split.by:All_cells\",\"Cell:TGATTTCAGTGGAGTC
Exp:0
split.by:All_cells\",\"Cell:CTAACTTAGATCACGG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAGTCCGAATT
Exp:1.335
split.by:All_cells\",\"Cell:GAAATGATCGTCCGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCCACTCCA
Exp:6.131
split.by:All_cells\",\"Cell:GTTCGGGAGGCAATTA
Exp:1.659
split.by:All_cells\",\"Cell:GCGCCAATCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:AGTGGGATCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:CGACTTCGTTGATTCG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTAACGACG
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCTCTTCCTTC
Exp:7.138
split.by:All_cells\",\"Cell:ACTGATGGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:AAGGAGCAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:TACTTACGTGTGGCTC
Exp:0
split.by:All_cells\",\"Cell:ATGCGATTCGCGTAGC
Exp:0
split.by:All_cells\",\"Cell:ATTGGACAGTCAAGGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGTCCGCTGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTAGACGCACA
Exp:0
split.by:All_cells\",\"Cell:ATGAGGGGTTCTGGTA
Exp:0
split.by:All_cells\",\"Cell:CGACCTTAGCTGCCCA
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTGCCTGCA
Exp:1.097
split.by:All_cells\",\"Cell:GCTCTGTAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:GTATTCTAGGTGCTTT
Exp:0
split.by:All_cells\",\"Cell:TCTGGAATCGGTGTCG
Exp:0
split.by:All_cells\",\"Cell:GACGTTAAGACGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCGTAGAGGACGG
Exp:0.672
split.by:All_cells\",\"Cell:ATGAGGGCAAGGTTTC
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTCAAAGCAAT
Exp:1.222
split.by:All_cells\",\"Cell:CATCGGGTCATTTGGG
Exp:2.378
split.by:All_cells\",\"Cell:ACATACGGTAAACACA
Exp:1.008
split.by:All_cells\",\"Cell:CTGCTGTGTTATCACG
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTAGTGCCATT
Exp:0
split.by:All_cells\",\"Cell:CCACGGAGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:CCATTCGCATGAAGTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCTGCTGCT
Exp:0.872
split.by:All_cells\",\"Cell:ACGATGTTCTGCTGCT
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTCACCATCCT
Exp:0
split.by:All_cells\",\"Cell:TAGTTGGGTACCGTAT
Exp:0
split.by:All_cells\",\"Cell:GCGCAACCAACACCTA
Exp:0
split.by:All_cells\",\"Cell:CCAGCGAGTACCGTAT
Exp:0.797
split.by:All_cells\",\"Cell:AGCGTATCATCTCCCA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCCTGTAGA
Exp:1.277
split.by:All_cells\",\"Cell:GGAAAGCTCTCGGACG
Exp:0
split.by:All_cells\",\"Cell:ACTGATGGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:GTAACGTCAGCCTATA
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCTAACTCT
Exp:0
split.by:All_cells\",\"Cell:GAAATGACATCTACGA
Exp:0.855
split.by:All_cells\",\"Cell:GTGTGCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TCTCATAGTTACCAGT
Exp:0
split.by:All_cells\",\"Cell:ACGTCAACACGGTGTC
Exp:1.356
split.by:All_cells\",\"Cell:ACTGATGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:TGTATTCCAATGACCT
Exp:0.598
split.by:All_cells\",\"Cell:AGGGAGTAGCTAGCCC
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGAGCTGGT
Exp:0
split.by:All_cells\",\"Cell:GGCAATTTCCGAATGT
Exp:0
split.by:All_cells\",\"Cell:GATCGTAGTCCTAGCG
Exp:0.701
split.by:All_cells\",\"Cell:TGAGCATCAAGCCGCT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACAGTGG
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTAGCAGGCTA
Exp:0
split.by:All_cells\",\"Cell:CCACTACGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:GGAAAGCAGGCATGGT
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTAAAGTCA
Exp:0
split.by:All_cells\",\"Cell:TAAACCGAGTCGTACT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGTCATCGCTC
Exp:0
split.by:All_cells\",\"Cell:CACCACTCACGAAATA
Exp:0
split.by:All_cells\",\"Cell:CGTAGGCTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:TCGCGTTTCTCTGCTG
Exp:0
split.by:All_cells\",\"Cell:GGACAAGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGCCCAGCT
Exp:0
split.by:All_cells\",\"Cell:TCACGAATCCTATGTT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTGGCTCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:ATAACGCAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:ATTCTACTCAGGTAAA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCCAAGCGTAG
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGGCGTG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAAGTCCGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGAATGAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CACAGGCTCAAGATCC
Exp:1.194
split.by:All_cells\",\"Cell:ACGAGCCAGTTCGCAT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTTCGCCATAA
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGAGTACCG
Exp:0
split.by:All_cells\",\"Cell:AGCCTAAAGCCCAACC
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:AGTGGGACAGTATCTG
Exp:0
split.by:All_cells\",\"Cell:CAACCAATCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:TGTCCCATCTTGACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCCATCAGTCGTGC
Exp:0
split.by:All_cells\",\"Cell:GTTTCTAGTCCTCTTG
Exp:0
split.by:All_cells\",\"Cell:GCACATACATTACGAC
Exp:0
split.by:All_cells\",\"Cell:ATGGGAGTCGGTTCGG
Exp:0
split.by:All_cells\",\"Cell:ATAAGAGTCCGAACGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCGAAGCTTCGCG
Exp:0
split.by:All_cells\"]],\"marker\":{\"color\":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.87627452505493453,0,0,0,0,5.6298344785551917,0,0,3.4318927716865226,0,0,0,0,0,1.2133996752021774,6.8863884030564817,1.3522593762829056,0,0,0,4.7180091753826536,0,0,0,0,0,0,0,0,0,1.4175396885494673,0,0,0,0,1.2080246642368548,0,0.89008556501282066,0,0,0,0,0,0,1.7017070563516157,0,0,0,0,0,0.80830034771650705,1.1225042100928397,0,0,0,0,2.9465555933751828,0,0,0,0,0,0,0,0,1.0773404439212901,0,3.7465893999204338,4.6973766816695575,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.0128594247284151,6.4100702978542996,0,0,0,0,0,0.87139399335249101,0,0.61462791779182424,0,0,0.63022879389110731,0,0,0,0,0,0,0,0,1.5809383714395906,0,0,0,0.95374266355120374,0,0,1.0406888009504409,1.4867512592977243,0.84019947302087228,0,0,1.0022611579964082,0,5.3838662644037614,0.94896309719237015,0,0,0.71159438044482071,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.98543581922139767,0,0,0,0,0,0,0,0,0,6.6284993164500721,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.3939554986947349,0,0,0,0,0,0,0,6.0918725538269625,0,0,0,0,0,0,0,0,0,0,0,4.9206717423143003,7.2157755020672649,0.91428543362499481,0.5877155626392595,0.89742473889890884,0,0,0,0,0,0,0.80699214243868445,0,0.79923561626434947,0,0,0,0,0,0,1.4042984633847209,0,0,0,0,0,0,0,0,0.96931028411198716,0.54993354012258144,7.3272800641773079,0,0,0,1.2128182558075358,0.77071234804779842,0.79104077540998308,0,0,0.94567677673161155,0,0,1.032469395575333,0,0,0,1.021196356378167,0,0,0,0,0,0,0,1.0459286400024403,0,0,0,0,0,0,0,0,0,0,0,0,1.0091889777894387,0,0,0,0,0,0,0,0,0,0,0,3.0322973465941638,1.213649046084377,0,0,0,0,0,0,1.004449284717891,0,0,0,0,0,0,0,0,0,0,0,0.43167864954755164,0,0.93502183238512626,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.84034919194483326,0,0,6.4365381824725763,0,0,0,1.0292210133614934,0,0.84547345851286804,0,0,1.0153225148239047,0,0,0,1.127279729788248,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.0226763629472266,0,1.1173577438413458,0,0,0,0,4.5890672000776895,0,0,0,0.91590090923851564,0.96016336428788329,0,0,1.006427463443158,0,0,1.0421121707289513,0,0,0,0,0,0,0,0,1.1519957492279849,0.94567677673161155,0,0,0.92498815173192594,0,0,0,0,2.0116023783171677,0,0,0,0,0,5.4193729651171694,0,0,0,3.239848146014245,0,7.2316723806817214,0,0,0,0,3.3230885795743523,0,0,0,0,2.8539712990737973,0,0,0.87220339987194351,0,0,0,0,0,0,0,0,0,0,0,1.168999547848254,0,0,0.5993587058508304,0,0.60091734922642137,0,0.91321182887844676,0,0,0.91978492182607452,0,0,0,0,0.99147336914563378,0,0,0,0,0,0,0,0,0,0,2.1665334151719362,7.6856115775337406,0,0,0,0,1.6558038329920262,0.77215033120619725,0,0,0,0,0,0,0,0,0,0,0,0,0,1.2887148540684685,0,0,0.78593496187979373,0,0,0,0,0,0,3.0851433727617685,0,0,0,3.3129269921354418,0,0,0,0,0,0,0,0,0,4.9490396223967199,0,0,1.2053980215623117,0,0,0,0,0,0,1.1515517866236538,0,1.3636296676280373,0,0.61497895397427071,0,0,1.0454499165973181,0,0,0,0,0,0,0,0,0,0.75358655593192048,0,0,0,1.3733478759233073,0,0,0,0,0,0,0,0,0,0,0,1.5856553295390896,0,0,0,0,0,0.97451917011161227,0,0,0,1.0832516085436159,0,2.9878043908630678,0,0,0.78933110441286702,0,0,0,1.0155470764830179,0,0,0,0,0,0,0,0,0,0,0,0,0,0.75103591274236681,0,0.65177749580418498,0,0,0,5.8282565385163707,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.48970311399278116,0,2.9835851249142049,1.1807533782365882,0,0,0,6.2328736171499184,7.1138729807242758,0,0,0,0,0,0,0,0,0,0,0,0.87537541459707802,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.1857815173595507,0,0,0,0,0,0.59028644300949717,0,3.3495515898265613,3.8508929841636514,0,0,0,0,0,0,0.70073255194920192,0,0,0,0,0,0,0,0.80726718314111323,0,1.0087460326577822,0,2.3655768817662874,0,0,0.98365048305765057,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.8309573859626229,0,0,0,0,0,0,0,0,1.7138173987519436,0,0,0.99921505419020895,0,0.64113472037368935,0,0,0,0,0,0,1.5146846114272625,0,0,0,0,0.93221137493966544,0,0,0,0,0,0.7841836641684663,0,0,0,0.99019567208348713,0,5.4601001157450622,0.90384397182861509,0,0,0,0,0,0,0,0,1.0353886390763518,0,0,0,0,0,0,0,0,0,0,0,6.1503206526909384,0,0,0,0,0,0.90612271031731961,0.94886609062671501,0,0.93822906076465018,0,0,0,0,1.0232468372056946,0,0,0,1.1678537109942153,0,0.72150604512001415,1.1468396634338254,0,0.65398554985623958,0,0.56204801505165158,0,0,0,0,0,1.3989899366586993,0,0,0,0,0,0,0.99296852700923943,1.0196076935926301,0,0,0,0.99824019858334512,0,0,0,0,0,1.6880958603864995,0,0,0,6.4342841844280407,0,0,0,0,0.85881378322758406,0,0,0,6.189418374764041,1.0415185850879953,0.98010067069653617,0,0,0,0,1.2435541480171437,0,1.0642326957735531,0.97298089185342818,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6.2870875675840789,0,0,0,0,0,1.547767221842776,0,0,0,0,0,0,0,0,0,0,0,0,1.1279857976487269,0,0,0,0.84714550845394376,0.95423328540303509,0,0,0,0.59309780923218569,0,0,1.3348831839077311,0,6.1307731990250875,1.6588962618979448,0,0,0,0,0,7.1378837650236795,0,0,0,0,0,0,0,0,0,0,1.0968819541488015,0,0,0,0,0.67217738144145867,0,1.2215212745673165,2.3784869580120596,1.0075301025879813,0,0,0,0,0.8715557469389994,0,0,0,0,0.79728743981254224,0,0,0,1.276660057955822,0,0,0,0,0,0.85475728169107568,0,0,1.3556689090117737,0,0.59813988594398526,0,0,0,0.70134685195065383,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.1938945904110732,0,0,0,0,0,0,0,0,0,0,0,0,0,0],\"colorbar\":{\"title\":{\"text\":\"Ghrl\",\"font\":{\"color\":\"black\",\"size\":14}},\"len\":0.5},\"size\":1.5,\"showscale\":true}}],\"label\":\"Ghrl\"},{\"method\":\"update\",\"args\":[{\"text\":[[\"Cell:CAGCCGAAGCGATATA
Exp:0
split.by:All_cells\",\"Cell:AGTGTCATCGCCGTGA
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGTTGTAGA
Exp:0
split.by:All_cells\",\"Cell:CACAGTACATCCGTGG
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTCATTGGGCC
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTGTGTGACCC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:ACCGTAACAAGGTTCT
Exp:6.137
split.by:All_cells\",\"Cell:CCACTACAGGTGGGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGGTCCCTTGT
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTGTCTTCTCG
Exp:0
split.by:All_cells\",\"Cell:CCGTGGACACGAAGCA
Exp:0
split.by:All_cells\",\"Cell:GAACATCAGCAATATG
Exp:0
split.by:All_cells\",\"Cell:TTCTACACAGTCGATT
Exp:0.943
split.by:All_cells\",\"Cell:ACGGCCACACGTGAGA
Exp:0
split.by:All_cells\",\"Cell:CTCGTACAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CGTCTACAGATGCGAC
Exp:0
split.by:All_cells\",\"Cell:CTCACACGTCACACGC
Exp:1.153
split.by:All_cells\",\"Cell:AAAGCAACACGGTAAG
Exp:0
split.by:All_cells\",\"Cell:CATCGGGCACGTTGGC
Exp:0
split.by:All_cells\",\"Cell:ATCATCTGTGTTTGTG
Exp:0
split.by:All_cells\",\"Cell:CAAGGCCCAAGAAAGG
Exp:6.735
split.by:All_cells\",\"Cell:AGATCTGGTTCGGCAC
Exp:0
split.by:All_cells\",\"Cell:CTCTGGTCAAGACACG
Exp:6.733
split.by:All_cells\",\"Cell:TACAGTGTCCCTAACC
Exp:1.473
split.by:All_cells\",\"Cell:GGACAGATCAGCATGT
Exp:0
split.by:All_cells\",\"Cell:CACTCCACATATGGTC
Exp:0.849
split.by:All_cells\",\"Cell:GTTCATTGTTCCAACA
Exp:1.562
split.by:All_cells\",\"Cell:TAAGTGCCAATAGCAA
Exp:4.688
split.by:All_cells\",\"Cell:TACTCGCTCTTCGGTC
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTTCCTCGCAT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTGTCTAGAGG
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:CGAGCACTCTAACTCT
Exp:0
split.by:All_cells\",\"Cell:GATCGTAAGTGCAAGC
Exp:1.142
split.by:All_cells\",\"Cell:TGTCCCAGTCTCGTTC
Exp:4.039
split.by:All_cells\",\"Cell:CTTGGCTCAGCCACCA
Exp:0
split.by:All_cells\",\"Cell:GGGTCTGGTAAACCTC
Exp:0
split.by:All_cells\",\"Cell:CGGACTGTCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:GGTGCGTTCTGGTATG
Exp:5.861
split.by:All_cells\",\"Cell:TACCTTATCCGATATG
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCTCTATCGCC
Exp:0.872
split.by:All_cells\",\"Cell:GTACGTACATCGATGT
Exp:0
split.by:All_cells\",\"Cell:TCGTAGATCTTTACGT
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGAGAGTGAGA
Exp:0
split.by:All_cells\",\"Cell:AGCGTATTCTGCTGTC
Exp:0
split.by:All_cells\",\"Cell:GGACAAGTCATAACCG
Exp:0
split.by:All_cells\",\"Cell:ACATCAGTCCTTGGTC
Exp:0
split.by:All_cells\",\"Cell:CCAGCGACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:GGACAGAAGTGGAGAA
Exp:0
split.by:All_cells\",\"Cell:GACTACAAGCGTGTCC
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTAGAGCTG
Exp:7.393
split.by:All_cells\",\"Cell:GTTCTCGCAAGTCTAC
Exp:1.225
split.by:All_cells\",\"Cell:CGAATGTTCTTCATGT
Exp:0.961
split.by:All_cells\",\"Cell:CCGTGGACATTCCTGC
Exp:5.905
split.by:All_cells\",\"Cell:CTAATGGAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:AGCGGTCGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:GTATTCTTCACTTACT
Exp:0
split.by:All_cells\",\"Cell:CAGTCCTAGGTGGGTT
Exp:1.176
split.by:All_cells\",\"Cell:CGACTTCCACAACGTT
Exp:3.753
split.by:All_cells\",\"Cell:AAACGGGTCCGCGCAA
Exp:0
split.by:All_cells\",\"Cell:CTAGTGACATTGAGCT
Exp:0
split.by:All_cells\",\"Cell:CTCCTAGAGAGTGACC
Exp:0
split.by:All_cells\",\"Cell:GCAGTTATCTTGAGAC
Exp:0.87
split.by:All_cells\",\"Cell:CGAACATCAAGCGAGT
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGCGAAGGG
Exp:0
split.by:All_cells\",\"Cell:CATCGGGAGGCCCTTG
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGCTGCAAG
Exp:0
split.by:All_cells\",\"Cell:CAGAATCCACGCATCG
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGGTTGGACCC
Exp:0.916
split.by:All_cells\",\"Cell:CGGACACTCTATCCTA
Exp:0
split.by:All_cells\",\"Cell:CGTGTAATCATTATCC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAAGTTAAGATG
Exp:1.867
split.by:All_cells\",\"Cell:ATTTCTGTCCCTGACT
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAGTTGGACCC
Exp:0.788
split.by:All_cells\",\"Cell:CAGATCACAACCGCCA
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGCATTCCTCG
Exp:0
split.by:All_cells\",\"Cell:CCACGGACAGATGAGC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAAGAAGATTC
Exp:0
split.by:All_cells\",\"Cell:CATGACACAAAGTCAA
Exp:0
split.by:All_cells\",\"Cell:AACGTTGTCAGTTAGC
Exp:0
split.by:All_cells\",\"Cell:CTGGTCTAGGTGATTA
Exp:0
split.by:All_cells\",\"Cell:TCAGGATTCCAGTAGT
Exp:0
split.by:All_cells\",\"Cell:CATTATCGTCATATCG
Exp:0
split.by:All_cells\",\"Cell:GCGCAACAGTGTACCT
Exp:0
split.by:All_cells\",\"Cell:GTGCATACAATAGCAA
Exp:0
split.by:All_cells\",\"Cell:TTTACTGGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:GTAGTCAGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:CCTACACGTTCTCATT
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCTCAACACGT
Exp:0
split.by:All_cells\",\"Cell:CTAACTTGTAGGAGTC
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:GTAGGCCGTTACCAGT
Exp:5.123
split.by:All_cells\",\"Cell:TCTCATATCAGAGCTT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTGTCATACTG
Exp:0
split.by:All_cells\",\"Cell:GGGAATGTCGACCAGC
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCAGGGTTTCT
Exp:0
split.by:All_cells\",\"Cell:CGGACTGAGGTAGCTG
Exp:0
split.by:All_cells\",\"Cell:CAACCTCTCTCTGTCG
Exp:0
split.by:All_cells\",\"Cell:CTGAAACGTTCCCTTG
Exp:0
split.by:All_cells\",\"Cell:GTAGTCAGTACTCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCACCTATCC
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTACCGTTA
Exp:0
split.by:All_cells\",\"Cell:TTCTACAAGATCGATA
Exp:0
split.by:All_cells\",\"Cell:TCACAAGCACCGAAAG
Exp:0
split.by:All_cells\",\"Cell:TCGGGACGTCATCGGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGAGGAACTGC
Exp:1.094
split.by:All_cells\",\"Cell:CATATGGCATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:ATCATCTTCTGTCAAG
Exp:0.535
split.by:All_cells\",\"Cell:CCGTTCACAGTAGAGC
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTGTGGTCCGT
Exp:0.63
split.by:All_cells\",\"Cell:TTTGTCAGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:ATTATCCAGACCCACC
Exp:0
split.by:All_cells\",\"Cell:CACCACTCAATCTACG
Exp:0.933
split.by:All_cells\",\"Cell:GCGCGATGTCCGAATT
Exp:6.96
split.by:All_cells\",\"Cell:CATTATCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGCTAAGAT
Exp:0
split.by:All_cells\",\"Cell:GCGCGATTCGCGTAGC
Exp:0
split.by:All_cells\",\"Cell:CTACATTCACCGTTGG
Exp:0
split.by:All_cells\",\"Cell:TCATTTGCATTGGCGC
Exp:1.581
split.by:All_cells\",\"Cell:AGCAGCCCAGGAATGC
Exp:0
split.by:All_cells\",\"Cell:GGGATGAGTCTGCGGT
Exp:0
split.by:All_cells\",\"Cell:TGCGCAGTCTGCCAGG
Exp:0
split.by:All_cells\",\"Cell:AGCGTATTCTCGTATT
Exp:0
split.by:All_cells\",\"Cell:GTCTCGTAGATCTGCT
Exp:0
split.by:All_cells\",\"Cell:CAGAATCGTGTAAGTA
Exp:0.858
split.by:All_cells\",\"Cell:TGACTTTAGGTCATCT
Exp:0
split.by:All_cells\",\"Cell:GTGCATATCAGAGACG
Exp:2.518
split.by:All_cells\",\"Cell:TGGCCAGCACGAAAGC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCACAATGTTGC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACGTCTGATCA
Exp:0
split.by:All_cells\",\"Cell:CAGCGACAGATCACGG
Exp:1.002
split.by:All_cells\",\"Cell:AAAGATGAGTGAACAT
Exp:0.816
split.by:All_cells\",\"Cell:CTTCTCTGTCAGAGGT
Exp:0
split.by:All_cells\",\"Cell:ATTTCTGAGAAGATTC
Exp:0.949
split.by:All_cells\",\"Cell:CTCTAATTCACCATAG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTTCTTGTCAT
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGCTAGTCT
Exp:1.123
split.by:All_cells\",\"Cell:CCTAAAGTCATGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCACAGCTGTCTA
Exp:0
split.by:All_cells\",\"Cell:GAAATGACACATGACT
Exp:0
split.by:All_cells\",\"Cell:ACTGAGTAGGCTAGGT
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGAGCTGCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCACAGATCGGA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTTCTGGTGTA
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTCATACTCTT
Exp:0
split.by:All_cells\",\"Cell:ACTATCTGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCGATAGAA
Exp:0
split.by:All_cells\",\"Cell:GTTCTCGCAGCTGGCT
Exp:0
split.by:All_cells\",\"Cell:CATATGGAGGCCCGTT
Exp:0
split.by:All_cells\",\"Cell:ACTGAACAGCCTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGGTGCCT
Exp:0
split.by:All_cells\",\"Cell:CCCTCCTAGACCCACC
Exp:0.84
split.by:All_cells\",\"Cell:TTAACTCGTCCGAACC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCCATAAAGGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCAAACCAC
Exp:0
split.by:All_cells\",\"Cell:GTTCTCGGTTTGTGTG
Exp:0
split.by:All_cells\",\"Cell:ACATCAGTCCGTTGTC
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCCTTTCTC
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGCCAACAG
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGTAGGCCA
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCACTCGACG
Exp:1.139
split.by:All_cells\",\"Cell:AGCGTATCACGAGGTA
Exp:0
split.by:All_cells\",\"Cell:GGACAGAAGGCCGAAT
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCCACGTAAGG
Exp:0
split.by:All_cells\",\"Cell:TCCACACCAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:CACACCTGTCGCTTTC
Exp:0
split.by:All_cells\",\"Cell:GGCTCGAGTCGCTTCT
Exp:0
split.by:All_cells\",\"Cell:TGGCTGGCAGTGAGTG
Exp:0
split.by:All_cells\",\"Cell:GATGAAACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:TTCTTAGTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TCCCGATGTAAGTGTA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCTGCTGTC
Exp:0.853
split.by:All_cells\",\"Cell:GATCGCGAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGTGGTAGC
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTAAGAGAG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAGTTCGCTAA
Exp:1.481
split.by:All_cells\",\"Cell:CCATTCGGTGCTAGCC
Exp:0.91
split.by:All_cells\",\"Cell:CCACTACTCTTTAGTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTGAAATCA
Exp:0
split.by:All_cells\",\"Cell:ACCGTAATCTATCCCG
Exp:0
split.by:All_cells\",\"Cell:ACTTACTCAATACGCT
Exp:0.844
split.by:All_cells\",\"Cell:GAACGGATCACAACGT
Exp:0.902
split.by:All_cells\",\"Cell:CGGTTAAGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:CAAGAAACACTAGTAC
Exp:0
split.by:All_cells\",\"Cell:AGTTGGTGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:CGTCCATGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:CAGCTAACAACACGCC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACCATACGCTA
Exp:3.535
split.by:All_cells\",\"Cell:CTCGTACCAGCCAGAA
Exp:0
split.by:All_cells\",\"Cell:ATTATCCGTATAAACG
Exp:0
split.by:All_cells\",\"Cell:GTACTTTTCAGTTCGA
Exp:0
split.by:All_cells\",\"Cell:AGTAGTCCACATGACT
Exp:0
split.by:All_cells\",\"Cell:AGTGAGGTCTGTTGAG
Exp:1.109
split.by:All_cells\",\"Cell:TCTCATAAGCAGATCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGATCAGGATCT
Exp:0.812
split.by:All_cells\",\"Cell:AGCAGCCCAAGTCATC
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTACTTCTT
Exp:6.57
split.by:All_cells\",\"Cell:GTCCTCAAGTTCGATC
Exp:0
split.by:All_cells\",\"Cell:GCCAAATGTAAACACA
Exp:0
split.by:All_cells\",\"Cell:ACTTACTGTTTGGGCC
Exp:0.957
split.by:All_cells\",\"Cell:ACTTACTCACCGTTGG
Exp:4.927
split.by:All_cells\",\"Cell:CAGAGAGAGGACCACA
Exp:0.908
split.by:All_cells\",\"Cell:AAGACCTGTGGCTCCA
Exp:0.757
split.by:All_cells\",\"Cell:AACTTTCCACAGTCGC
Exp:0
split.by:All_cells\",\"Cell:CAGATCATCTCGATGA
Exp:0.588
split.by:All_cells\",\"Cell:TGTTCCGGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:GCGCCAAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTTCGCACTCT
Exp:0
split.by:All_cells\",\"Cell:GTAACTGTCAGTGCAT
Exp:1.09
split.by:All_cells\",\"Cell:CGGAGCTGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:CGCCAAGTCTAAGCCA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCATGTAGC
Exp:5.85
split.by:All_cells\",\"Cell:ATGCGATGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGACAGACC
Exp:0.799
split.by:All_cells\",\"Cell:GTCAAGTAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACAGTCACTA
Exp:0
split.by:All_cells\",\"Cell:TATCTCACATTGTGCA
Exp:3.257
split.by:All_cells\",\"Cell:CGTAGCGAGACTGTAA
Exp:0
split.by:All_cells\",\"Cell:ACGATGTGTCGCGGTT
Exp:0
split.by:All_cells\",\"Cell:CTCTGGTTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTAGTAAGTAC
Exp:1.404
split.by:All_cells\",\"Cell:CAGAATCCACAAGCCC
Exp:5.136
split.by:All_cells\",\"Cell:GTAACTGGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AACTTTCGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCAATCCGAT
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCAGTGTCCCG
Exp:6.653
split.by:All_cells\",\"Cell:TATTACCGTTGAGTTC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCATCAGAGCTT
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCGCCTGAG
Exp:0
split.by:All_cells\",\"Cell:TCGTACCCATATACGC
Exp:0.969
split.by:All_cells\",\"Cell:TGGTTCCGTTGATTCG
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTCATTCGACA
Exp:0
split.by:All_cells\",\"Cell:GGTGTTACATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CCTCTGACATCGGTTA
Exp:0
split.by:All_cells\",\"Cell:CTCTACGCACTAAGTC
Exp:0.842
split.by:All_cells\",\"Cell:CTCGGAGGTGAAGGCT
Exp:0
split.by:All_cells\",\"Cell:ACGTCAACAGACAAAT
Exp:0
split.by:All_cells\",\"Cell:TCGAGGCAGTTAACGA
Exp:0
split.by:All_cells\",\"Cell:CAAGTTGTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTACTTGAC
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTTCTTGAGGT
Exp:0
split.by:All_cells\",\"Cell:GCACATAAGCAATATG
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGTGACATA
Exp:1.53
split.by:All_cells\",\"Cell:TGTGGTACAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TAAGAGACAGTAGAGC
Exp:3.589
split.by:All_cells\",\"Cell:CACATTTTCGAGGTAG
Exp:5.156
split.by:All_cells\",\"Cell:AGACGTTCAATGGTCT
Exp:5.484
split.by:All_cells\",\"Cell:GGAACTTGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATGTTAAAGAC
Exp:0.947
split.by:All_cells\",\"Cell:TTGTAGGTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGATCTAGCACA
Exp:0
split.by:All_cells\",\"Cell:CGTAGCGTCACTATTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCACTGTGTA
Exp:0
split.by:All_cells\",\"Cell:TGCGCAGTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCGGAATCT
Exp:1.046
split.by:All_cells\",\"Cell:ACTGATGGTCGACTGC
Exp:0.921
split.by:All_cells\",\"Cell:CGTTCTGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CAGTAACAGCCACCTG
Exp:5.314
split.by:All_cells\",\"Cell:ACTGATGAGTGCAAGC
Exp:0
split.by:All_cells\",\"Cell:CTGCTGTGTTGTGGCC
Exp:0
split.by:All_cells\",\"Cell:GAGTCCGCAATTGCTG
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTAGCGTAATA
Exp:0
split.by:All_cells\",\"Cell:GTCATTTGTCTCAACA
Exp:0
split.by:All_cells\",\"Cell:GACTAACCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:GGTGAAGAGCAGGTCA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGTCTGATACG
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTCACCGAATT
Exp:0
split.by:All_cells\",\"Cell:CAGGTGCAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAAGCTACCTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCGTGCAGACA
Exp:6.473
split.by:All_cells\",\"Cell:ATGTGTGAGTTTGCGT
Exp:0
split.by:All_cells\",\"Cell:TCTATTGCAGTAAGCG
Exp:0
split.by:All_cells\",\"Cell:TTGGCAATCGGATGGA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGAGTCATCCA
Exp:0
split.by:All_cells\",\"Cell:CACCACTTCAGCTTAG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAGTATCGCAT
Exp:0
split.by:All_cells\",\"Cell:ACGGGCTAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAGTGTATGGG
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:GATCGATAGAAAGTGG
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCCAGGGCT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGTCCTACAGA
Exp:0
split.by:All_cells\",\"Cell:AGGGATGTCGCATGGC
Exp:0
split.by:All_cells\",\"Cell:TGCCCTACAATCACAC
Exp:0
split.by:All_cells\",\"Cell:CCCATACTCGTGGACC
Exp:0
split.by:All_cells\",\"Cell:GACTAACCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:TCACAAGAGCCACTAT
Exp:0
split.by:All_cells\",\"Cell:GGCAATTTCACATGCA
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCAGGAATGGA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:GCATGTAAGAATCTCC
Exp:5.872
split.by:All_cells\",\"Cell:GTTACAGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:GTTCGGGAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGTCTGGAGCC
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCGTTTAGG
Exp:0
split.by:All_cells\",\"Cell:GCATGCGCAAATTGCC
Exp:0
split.by:All_cells\",\"Cell:TCAACGACACCATCCT
Exp:0
split.by:All_cells\",\"Cell:CCTCTGATCATGTCTT
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCTTGAGAC
Exp:3.411
split.by:All_cells\",\"Cell:CGTCCATCATGGTAGG
Exp:0
split.by:All_cells\",\"Cell:TTAGTTCCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCAACACGT
Exp:0
split.by:All_cells\",\"Cell:CAGCAGCAGAGGTACC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGGTTCTCATT
Exp:1.036
split.by:All_cells\",\"Cell:CTAGCCTGTGCGATAG
Exp:0.993
split.by:All_cells\",\"Cell:GTGTGCGGTCTCCACT
Exp:0
split.by:All_cells\",\"Cell:GCATGATCATGCATGT
Exp:6.419
split.by:All_cells\",\"Cell:TACGGTATCCCATTTA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGAAGCTAGGCA
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTCGAGTTT
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTACGAAAT
Exp:0
split.by:All_cells\",\"Cell:GTATTCTTCAGGTAAA
Exp:0
split.by:All_cells\",\"Cell:TACCTATGTAACGTTC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGCAACGATGG
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTTCAGCACAT
Exp:0.937
split.by:All_cells\",\"Cell:TGCCAAACATGACATC
Exp:0.699
split.by:All_cells\",\"Cell:CTAAGACGTACTCTCC
Exp:2.554
split.by:All_cells\",\"Cell:CGATGGCTCAGTGTTG
Exp:0
split.by:All_cells\",\"Cell:CCAGCGACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:TGAGAGGAGCCAGGAT
Exp:0
split.by:All_cells\",\"Cell:AGAGCGACACAACTGT
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTCGAATCT
Exp:2.015
split.by:All_cells\",\"Cell:TTTGGTTTCCTTTCGG
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGTCCGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGATGATCTGTCCGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACATCCTAGA
Exp:0
split.by:All_cells\",\"Cell:GCACATATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:CATCCACCAGATGGGT
Exp:0.84
split.by:All_cells\",\"Cell:TGCCCTATCATAAAGG
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCACTTCC
Exp:1.117
split.by:All_cells\",\"Cell:GACAGAGCAGTCAGAG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTTCAGTCCCT
Exp:0
split.by:All_cells\",\"Cell:AATCGGTGTCACACGC
Exp:0
split.by:All_cells\",\"Cell:TACGGATAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGCAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:CCACGGAGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTATTG
Exp:1.355
split.by:All_cells\",\"Cell:AGATTGCCACCAGGCT
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:CACCAGGGTACCTACA
Exp:0
split.by:All_cells\",\"Cell:GGCCGATTCAGAGACG
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCTAAGCCA
Exp:0
split.by:All_cells\",\"Cell:GACTGCGGTCGCCATG
Exp:0
split.by:All_cells\",\"Cell:GAATGAACAGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:CGCTGGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTAATGGCATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGATCAATCTCT
Exp:3.673
split.by:All_cells\",\"Cell:AGTCTTTTCGTACGGC
Exp:0
split.by:All_cells\",\"Cell:TTCCCAGAGGATTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTCATCTCCCA
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTAGTGAATTG
Exp:2.156
split.by:All_cells\",\"Cell:TACCTATGTCCAACTA
Exp:0
split.by:All_cells\",\"Cell:TACTTGTAGACAAAGG
Exp:4.391
split.by:All_cells\",\"Cell:GTCCTCACACCACGTG
Exp:0
split.by:All_cells\",\"Cell:TAAACCGCATTCCTCG
Exp:0.497
split.by:All_cells\",\"Cell:AACACGTGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:TCAGCTCAGGCTATCT
Exp:0
split.by:All_cells\",\"Cell:CACAGTAGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGCACACATGT
Exp:0
split.by:All_cells\",\"Cell:ACGGCCACACGCTTTC
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCATTCCTGC
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCAGGTTCA
Exp:0
split.by:All_cells\",\"Cell:TGAGGGACAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:TACGGTATCTTTCCTC
Exp:4.099
split.by:All_cells\",\"Cell:GATCGCGAGCGTTGCC
Exp:0
split.by:All_cells\",\"Cell:CAGCGACCACAGGAGT
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGCTTGC
Exp:0
split.by:All_cells\",\"Cell:GTCACGGCATACTACG
Exp:1.042
split.by:All_cells\",\"Cell:AAGGCAGTCCGAGCCA
Exp:0.89
split.by:All_cells\",\"Cell:GGACAGATCCTGCAGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTCCATCCT
Exp:0.822
split.by:All_cells\",\"Cell:AACTTTCCACTGCCAG
Exp:0.901
split.by:All_cells\",\"Cell:ACCAGTAGTCATGCCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGAGTGCACCAC
Exp:0.969
split.by:All_cells\",\"Cell:AACACGTGTGACTCAT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTGCGGCA
Exp:0
split.by:All_cells\",\"Cell:GGCGACTCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTAGCTGCCCA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCAAACAACA
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTACATCCA
Exp:0
split.by:All_cells\",\"Cell:CATGGCGAGAGTCTGG
Exp:0
split.by:All_cells\",\"Cell:CGTGTAATCGTTGACA
Exp:0
split.by:All_cells\",\"Cell:CGATCGGAGCTGCAAG
Exp:1.203
split.by:All_cells\",\"Cell:TGCACCTAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:GAACGGACAAGGTGTG
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGGGTGAAGGTGCAAC
Exp:0.988
split.by:All_cells\",\"Cell:CTACACCCAGGGCATA
Exp:0.927
split.by:All_cells\",\"Cell:AAGCCGCGTTATCCGA
Exp:1.137
split.by:All_cells\",\"Cell:AAGCCGCTCTTGCATT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTCCAGG
Exp:0
split.by:All_cells\",\"Cell:AAGTCTGGTCTCCATC
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTGTGTAAGTA
Exp:0
split.by:All_cells\",\"Cell:CGCTATCAGGTGATAT
Exp:5.416
split.by:All_cells\",\"Cell:AACTCTTAGCTAACAA
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGGTAGTACCT
Exp:4.596
split.by:All_cells\",\"Cell:GGGTCTGCAGCAGTTT
Exp:0
split.by:All_cells\",\"Cell:CGTAGGCCAACACCCG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACTCTACCTGC
Exp:0
split.by:All_cells\",\"Cell:CATCGAAAGATGTTAG
Exp:0.903
split.by:All_cells\",\"Cell:GCAATCACAGCTGCTG
Exp:0
split.by:All_cells\",\"Cell:AACACGTAGTAATCCC
Exp:0
split.by:All_cells\",\"Cell:GATCTAGCATCACCCT
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTTCGG
Exp:6.061
split.by:All_cells\",\"Cell:TGTGGTAGTTAGAACA
Exp:5.461
split.by:All_cells\",\"Cell:GAGCAGAAGCCAGTTT
Exp:1.089
split.by:All_cells\",\"Cell:CTCGAGGGTAAGTAGT
Exp:1.113
split.by:All_cells\",\"Cell:GGACAGAGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGGATATAC
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTATAATGG
Exp:0.872
split.by:All_cells\",\"Cell:CTTCTCTCATGCGCAC
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:GTACTCCGTAGCGATG
Exp:0
split.by:All_cells\",\"Cell:CTGTGCTCAGCTCCGA
Exp:1.08
split.by:All_cells\",\"Cell:CCTTCGATCAAGAAGT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACACGGTAAG
Exp:0
split.by:All_cells\",\"Cell:CAACCAAAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAAGTGGTAAT
Exp:0
split.by:All_cells\",\"Cell:CGAATGTAGTTCCACA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGACAATCGGTT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCCAGTATG
Exp:0
split.by:All_cells\",\"Cell:TTCTTAGTCGGCGCTA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCTGACCTC
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTCCACTC
Exp:0.599
split.by:All_cells\",\"Cell:TAAACCGAGGATGGAA
Exp:0
split.by:All_cells\",\"Cell:CTTACCGCAAAGTCAA
Exp:0.601
split.by:All_cells\",\"Cell:CGGTTAATCGTCTGAA
Exp:0
split.by:All_cells\",\"Cell:CTCGTCATCGGTCTAA
Exp:0
split.by:All_cells\",\"Cell:GTTAAGCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAATCTGCA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGCGTCTAT
Exp:0
split.by:All_cells\",\"Cell:TGGACGCGTATTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCACGGAAGATCCTGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTTTAGGG
Exp:5.028
split.by:All_cells\",\"Cell:CAGTAACCATGCCTAA
Exp:0.861
split.by:All_cells\",\"Cell:AGTAGTCAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCCACCTTGTC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTGTATATCCG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACGCGTAGACGCACA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTGTGATAAGT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCACAAGCCC
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCGGCACA
Exp:4.124
split.by:All_cells\",\"Cell:TGCGTGGTCTTTACGT
Exp:0.968
split.by:All_cells\",\"Cell:CATCAGATCATCGCTC
Exp:1.577
split.by:All_cells\",\"Cell:CTTGGCTCATCCCACT
Exp:4.219
split.by:All_cells\",\"Cell:AGCATACGTCGCGAAA
Exp:0
split.by:All_cells\",\"Cell:CTTAACTGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:GTTTCTATCAACGGCC
Exp:3.683
split.by:All_cells\",\"Cell:GAGGTGAGTGACAAAT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCGTTATGTGC
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTAGGTGCTAG
Exp:0
split.by:All_cells\",\"Cell:GAATGAACAATCGAAA
Exp:0
split.by:All_cells\",\"Cell:CCTACACAGATCCGAG
Exp:0
split.by:All_cells\",\"Cell:GATGCTACAAGCGCTC
Exp:0
split.by:All_cells\",\"Cell:GTTACAGTCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGACCTTTG
Exp:0
split.by:All_cells\",\"Cell:GACTACACATATGAGA
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAAGTGGTCCC
Exp:0
split.by:All_cells\",\"Cell:CGTTAGATCAGTCAGT
Exp:0.939
split.by:All_cells\",\"Cell:GTGCTTCTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:GATGAGGAGAAACCTA
Exp:4.766
split.by:All_cells\",\"Cell:GAAATGATCTTCAACT
Exp:2.499
split.by:All_cells\",\"Cell:GCTCCTAGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCATGCAAC
Exp:4.628
split.by:All_cells\",\"Cell:CGACCTTCACACAGAG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTACGCACC
Exp:4.64
split.by:All_cells\",\"Cell:GCACTCTTCCGGCACA
Exp:0
split.by:All_cells\",\"Cell:GTACTCCTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:CACATAGTCATTGCGA
Exp:6.349
split.by:All_cells\",\"Cell:CTGAAACGTATGGTTC
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCAGTCTCAAC
Exp:0
split.by:All_cells\",\"Cell:CCTTTCTTCTTCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACGTAGCGCAA
Exp:0
split.by:All_cells\",\"Cell:TTGGAACGTCCGTTAA
Exp:0
split.by:All_cells\",\"Cell:CATTATCAGCTCCCAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGTCCATAACCTG
Exp:0.913
split.by:All_cells\",\"Cell:GTGCAGCTCGTTTATC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACCTCAGCGTGAAC
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACCGTTA
Exp:0
split.by:All_cells\",\"Cell:CGATTGAAGTTAGCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:GGACGTCCAGTATCTG
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGTCGGAT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGGTCATCT
Exp:0
split.by:All_cells\",\"Cell:CAAGGCCTCGTACCGG
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:GCAAACTTCGGAATCT
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCACGGTGTC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGTCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCATCGGAT
Exp:0
split.by:All_cells\",\"Cell:TGGTTAGCAGTCGTGC
Exp:0
split.by:All_cells\",\"Cell:CTCTAATAGTTATCGC
Exp:1.182
split.by:All_cells\",\"Cell:AACTCTTAGCTGCGAA
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCACGAAGG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTGTAGTGAAT
Exp:0
split.by:All_cells\",\"Cell:GGGTTGCTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:ATCCGAACACGGTAGA
Exp:0.778
split.by:All_cells\",\"Cell:TTCTCAATCACTCCTG
Exp:2.013
split.by:All_cells\",\"Cell:ACTGATGTCCCTAACC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTGTCTAAACC
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGTCGACGGAA
Exp:0
split.by:All_cells\",\"Cell:AAATGCCAGACTAAGT
Exp:6.37
split.by:All_cells\",\"Cell:TACGGGCAGATTACCC
Exp:0.862
split.by:All_cells\",\"Cell:AACTCTTCATTTGCCC
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGTCGCCGTGA
Exp:2.757
split.by:All_cells\",\"Cell:CACATAGAGGGAAACA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGCATCGTCGG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTCCTAGCG
Exp:0.741
split.by:All_cells\",\"Cell:AAGGCAGCAGTACACT
Exp:1.142
split.by:All_cells\",\"Cell:TGGTTCCTCAACCATG
Exp:0
split.by:All_cells\",\"Cell:GTGTTAGAGTTTCCTT
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTAGTACTTGC
Exp:0
split.by:All_cells\",\"Cell:CACATTTGTATAGTAG
Exp:0
split.by:All_cells\",\"Cell:GTGCATAAGAATGTTG
Exp:0
split.by:All_cells\",\"Cell:GGACATTAGAAACCAT
Exp:0
split.by:All_cells\",\"Cell:TCTCTAAGTGGCAAAC
Exp:0
split.by:All_cells\",\"Cell:ACGATACTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGCACGAAATA
Exp:5.525
split.by:All_cells\",\"Cell:CATGACACATCCGCGA
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCAGGGTGTTG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTTCGGCGCAT
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCGTGCGATAG
Exp:0
split.by:All_cells\",\"Cell:CGTTGGGGTTTAAGCC
Exp:0
split.by:All_cells\",\"Cell:AACTCAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTAGATCGATA
Exp:0.938
split.by:All_cells\",\"Cell:CGTTCTGTCACAATGC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTCAGCTAT
Exp:1.021
split.by:All_cells\",\"Cell:ATGCGATAGAAACGAG
Exp:0
split.by:All_cells\",\"Cell:TATGCCCTCTTCCTTC
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCGGAAACG
Exp:0
split.by:All_cells\",\"Cell:CGATGGCCAACTGGCC
Exp:5.981
split.by:All_cells\",\"Cell:CAGCCGAGTAGCCTAT
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTGGTGTAG
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCTCAAACG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCCAAGTAC
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCAGCAACGGT
Exp:0
split.by:All_cells\",\"Cell:CCTACACCATTATCTC
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCTGTTTGT
Exp:0.964
split.by:All_cells\",\"Cell:CCATGTCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CAGCCGAAGTAGGTGC
Exp:0.528
split.by:All_cells\",\"Cell:TGACGGCGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:ACTGATGCACATGACT
Exp:1.742
split.by:All_cells\",\"Cell:ATCATCTGTAGGACAC
Exp:0
split.by:All_cells\",\"Cell:ATCTGCCGTCATATGC
Exp:0.896
split.by:All_cells\",\"Cell:TACACGAAGATCCCAT
Exp:0
split.by:All_cells\",\"Cell:CATCCACGTTACGACT
Exp:5.63
split.by:All_cells\",\"Cell:AGATCTGCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCAATCCAAC
Exp:0.587
split.by:All_cells\",\"Cell:GGGCACTCAATGAAAC
Exp:0
split.by:All_cells\",\"Cell:GTGCTTCTCACGACTA
Exp:5.36
split.by:All_cells\",\"Cell:GATCGTACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGAACAACT
Exp:0
split.by:All_cells\",\"Cell:CTACACCCATCAGTCA
Exp:6.144
split.by:All_cells\",\"Cell:AACACGTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCATCAGTTCGA
Exp:0
split.by:All_cells\",\"Cell:ATAGACCAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACACGCAGTATGACA
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCCATGATCCA
Exp:0
split.by:All_cells\",\"Cell:CGTCTACTCAGTCCCT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTCACTACAGT
Exp:5.156
split.by:All_cells\",\"Cell:GATCAGTTCCCGGATG
Exp:1
split.by:All_cells\",\"Cell:GATCTAGGTGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGGTCAGATAA
Exp:5.796
split.by:All_cells\",\"Cell:CTCGTACGTTGGTTTG
Exp:1.104
split.by:All_cells\",\"Cell:TTGGCAATCGAACGGA
Exp:0
split.by:All_cells\",\"Cell:CATCGAAGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTCAACTGT
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTCAAAGTGCG
Exp:0.699
split.by:All_cells\",\"Cell:GAAGCAGGTCTAGAGG
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTGTGCGCTTG
Exp:6.552
split.by:All_cells\",\"Cell:ATTCTACGTTTAGGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAATGCACATTTCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCCTGCTTG
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGAGCCCAA
Exp:0
split.by:All_cells\",\"Cell:GTGCAGCGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACGTTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTTCATTCACT
Exp:0
split.by:All_cells\",\"Cell:GATGCTATCCCTCTTT
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGTCAACGCTA
Exp:0.556
split.by:All_cells\",\"Cell:TTAACTCCACGCCAGT
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTTCTGATTCT
Exp:1.765
split.by:All_cells\",\"Cell:GCTGGGTCACGAGGTA
Exp:0
split.by:All_cells\",\"Cell:TCTATTGGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:TCACGAACAGGCGATA
Exp:1.046
split.by:All_cells\",\"Cell:CGAACATTCACAAACC
Exp:0
split.by:All_cells\",\"Cell:TCTATTGTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGACACTAA
Exp:0
split.by:All_cells\",\"Cell:GCGAGAAGTGGGTATG
Exp:0
split.by:All_cells\",\"Cell:TTCTCAAAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGTCTGTTGAG
Exp:0.878
split.by:All_cells\",\"Cell:ACATACGAGCTATGCT
Exp:1.058
split.by:All_cells\",\"Cell:ACGATACAGTCATCCA
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTTCATGGT
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCACGAGAGT
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGAGGCACATG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATTCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAATCGCAAACT
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGCATACTCTT
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATATGGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGCGTGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCCGCGCAA
Exp:0
split.by:All_cells\",\"Cell:CCTTCCCCAAAGTGCG
Exp:0
split.by:All_cells\",\"Cell:GTAACTGAGCCGGTAA
Exp:4.222
split.by:All_cells\",\"Cell:AGCATACCAATGCCAT
Exp:0.996
split.by:All_cells\",\"Cell:CATCAAGGTGGTCTCG
Exp:3.386
split.by:All_cells\",\"Cell:AGTCTTTGTCTCGTTC
Exp:0.874
split.by:All_cells\",\"Cell:CTGATAGAGCTCAACT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCTCGTCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCTCCAACC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAACATGGTCTA
Exp:5.28
split.by:All_cells\",\"Cell:GTTCATTAGGGTCTCC
Exp:0
split.by:All_cells\",\"Cell:GCGACCATCACCAGGC
Exp:0
split.by:All_cells\",\"Cell:GTACTTTCATGGTCAT
Exp:0
split.by:All_cells\",\"Cell:TCAGCAAAGCGATGAC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAGACCATCTTATCTG
Exp:0
split.by:All_cells\",\"Cell:AGACGTTAGCCGATTT
Exp:0
split.by:All_cells\",\"Cell:GAACCTACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:CCAATCCAGAGTAAGG
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTACAGTTC
Exp:0.737
split.by:All_cells\",\"Cell:CAGGTGCGTACAAGTA
Exp:0
split.by:All_cells\",\"Cell:GCTCCTATCTCACATT
Exp:0
split.by:All_cells\",\"Cell:TATCAGGCACCAGTTA
Exp:0
split.by:All_cells\",\"Cell:TGCTACCCATAAGACA
Exp:1.186
split.by:All_cells\",\"Cell:GATTCAGAGTACGTTC
Exp:0
split.by:All_cells\",\"Cell:CGGACTGCATCCCATC
Exp:0
split.by:All_cells\",\"Cell:GCGCCAACACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:AGGTCATTCTGCGTAA
Exp:1.008
split.by:All_cells\",\"Cell:CTACCCAGTCAAACTC
Exp:0
split.by:All_cells\",\"Cell:TGGCCAGAGCTACCTA
Exp:0
split.by:All_cells\",\"Cell:TGTCCCACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGAGGAATTAC
Exp:0
split.by:All_cells\",\"Cell:TACAGTGAGCGTTTAC
Exp:0.91
split.by:All_cells\",\"Cell:CGATTGAAGTCTTGCA
Exp:0.9
split.by:All_cells\",\"Cell:TTCGGTCGTCACAAGG
Exp:0
split.by:All_cells\",\"Cell:GTCTCGTCACGTGAGA
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTCAGCATACT
Exp:0
split.by:All_cells\",\"Cell:GCTTGAACATTTGCTT
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTGTTAAAGAC
Exp:0.887
split.by:All_cells\",\"Cell:GCTCTGTTCGCTTAGA
Exp:0
split.by:All_cells\",\"Cell:GATCAGTAGGTTCCTA
Exp:0.81
split.by:All_cells\",\"Cell:GTACTTTAGATATGCA
Exp:1.16
split.by:All_cells\",\"Cell:ATGTGTGTCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:TCAGATGGTAGATTAG
Exp:6.839
split.by:All_cells\",\"Cell:TGTCCCAAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCTCAGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CTAAGACTCACTCCTG
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCTTAGAGC
Exp:0
split.by:All_cells\",\"Cell:CACACCTCATTGTGCA
Exp:1.127
split.by:All_cells\",\"Cell:TTAGGCAGTAGCGTAG
Exp:0
split.by:All_cells\",\"Cell:ACTGAACAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGATGGGTC
Exp:0.791
split.by:All_cells\",\"Cell:GGAAAGCGTACGCACC
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CCCTCCTGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTGTGAATA
Exp:0
split.by:All_cells\",\"Cell:TCGGTAACAGGGTACA
Exp:1.073
split.by:All_cells\",\"Cell:AGGGAGTCACCGAATT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTAGGAGTC
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGACGCTTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCTTCAAG
Exp:0
split.by:All_cells\",\"Cell:ATAAGAGTCCACGTTC
Exp:0
split.by:All_cells\",\"Cell:GATCGTAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTAAACT
Exp:0
split.by:All_cells\",\"Cell:CACCACTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCCACTCTGTC
Exp:0.961
split.by:All_cells\",\"Cell:GCATGTATCACGATGT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGATGGGTC
Exp:0
split.by:All_cells\",\"Cell:CGCGTTTGTATTACCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCAGGTGTTAA
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCATTCTCAT
Exp:0.942
split.by:All_cells\",\"Cell:CACAGTATCAGAGGTG
Exp:0
split.by:All_cells\",\"Cell:TTCGAAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGGTGATGCCC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGTCCAGAGGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGACAGTAAGAT
Exp:0
split.by:All_cells\",\"Cell:CATCGAAGTAGCGTCC
Exp:5.049
split.by:All_cells\",\"Cell:TGGACGCTCTTGTTTG
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGGTCACCTAA
Exp:1.027
split.by:All_cells\",\"Cell:CGTCAGGCAAACGCGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:GCGACCACACGTTGGC
Exp:1.02
split.by:All_cells\",\"Cell:CCATGTCGTTTGCATG
Exp:0
split.by:All_cells\",\"Cell:TGCCAAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGGTAGCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGAGAACAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACTAGAGCTTCGCG
Exp:0
split.by:All_cells\",\"Cell:CGGACTGCAGCCAATT
Exp:7.169
split.by:All_cells\",\"Cell:GACCAATAGCCGGTAA
Exp:0.815
split.by:All_cells\",\"Cell:GGACGTCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:AGGTCCGAGTTACCCA
Exp:0
split.by:All_cells\",\"Cell:GGAAAGCGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:CCGGGATGTACCGCTG
Exp:0
split.by:All_cells\",\"Cell:CATCCACAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:CGCTATCCAGGCAGTA
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACACTGTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTTCTCGTATT
Exp:4.114
split.by:All_cells\",\"Cell:CGGACGTAGACAGACC
Exp:0
split.by:All_cells\",\"Cell:AGTTGGTTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTCCAGTAT
Exp:0
split.by:All_cells\",\"Cell:TATGCCCAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATGACATC
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGCACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:ACCCACTTCTGAGGGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCTCGTTGCCT
Exp:0
split.by:All_cells\",\"Cell:ACGATGTTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TGACAACTCGCACTCT
Exp:0
split.by:All_cells\",\"Cell:GACGCGTCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CATATGGTCAACACAC
Exp:0.575
split.by:All_cells\",\"Cell:AGTGGGAGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ATTGGTGTCCAGTATG
Exp:0
split.by:All_cells\",\"Cell:GATGCTAAGCGATAGC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:TTCTCAACAGTTTACG
Exp:0.899
split.by:All_cells\",\"Cell:TCACAAGAGCATGGCA
Exp:0.99
split.by:All_cells\",\"Cell:GGAATAACACGACGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAGATGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:AACTTTCGTGACCAAG
Exp:0
split.by:All_cells\",\"Cell:CGAGAAGCACTTACGA
Exp:0
split.by:All_cells\",\"Cell:AACTCCCAGTACGACG
Exp:5.145
split.by:All_cells\",\"Cell:CGTTAGAAGTATCTCG
Exp:0
split.by:All_cells\",\"Cell:CCTATTACAAACGTGG
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTAGATCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCATTCGCAAGCCATT
Exp:5.732
split.by:All_cells\",\"Cell:GTATCTTGTACTCAAC
Exp:0.916
split.by:All_cells\",\"Cell:TGCTACCCAGGGCATA
Exp:0
split.by:All_cells\",\"Cell:GGAACTTAGGTTACCT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCAGCTAGTCT
Exp:0.794
split.by:All_cells\",\"Cell:TTAGGACGTTCAGTAC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCATCACATAGC
Exp:2.825
split.by:All_cells\",\"Cell:CTTTGCGAGGAATGGA
Exp:0
split.by:All_cells\",\"Cell:ATTATCCCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCAACTGCGC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCAAAGAATC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTAGTCTCGGC
Exp:0
split.by:All_cells\",\"Cell:TCTGGAAGTCATCGGC
Exp:0
split.by:All_cells\",\"Cell:AAATGCCCACCAACCG
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCGCTTGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGTTACACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGCAAGTCTGT
Exp:0
split.by:All_cells\",\"Cell:CGGACTGTCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTCAAATTGCC
Exp:6.059
split.by:All_cells\",\"Cell:ATTGGTGGTACTTGAC
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGAGTTGGC
Exp:4.643
split.by:All_cells\",\"Cell:CGGCTAGGTAACGACG
Exp:0.963
split.by:All_cells\",\"Cell:AAAGATGAGTCATGCT
Exp:4.015
split.by:All_cells\",\"Cell:GTACTCCCACGTCTCT
Exp:0.93
split.by:All_cells\",\"Cell:TTGAACGAGGAATCGC
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCGATAGAA
Exp:1.311
split.by:All_cells\",\"Cell:CTCTAATTCAGCGACC
Exp:0
split.by:All_cells\",\"Cell:TATGCCCAGAACAATC
Exp:0
split.by:All_cells\",\"Cell:AACCATGGTTGAACTC
Exp:0
split.by:All_cells\",\"Cell:CAGCATAGTAATAGCA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTTCCTCAATT
Exp:5.314
split.by:All_cells\",\"Cell:CTCAGAATCTGGCGAC
Exp:0
split.by:All_cells\",\"Cell:ATCACGATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:GAGCAGAGTTTGCATG
Exp:1.839
split.by:All_cells\",\"Cell:TGCACCTAGATAGTCA
Exp:0
split.by:All_cells\",\"Cell:CAGCCGAAGTGACTCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCTGGTATG
Exp:0
split.by:All_cells\",\"Cell:AGCTCCTAGTACACCT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGCGATGAC
Exp:0
split.by:All_cells\",\"Cell:TCCACACTCACGATGT
Exp:0.995
split.by:All_cells\",\"Cell:TCAGATGCACGACGAA
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCAACACTG
Exp:0
split.by:All_cells\",\"Cell:CTTAGGACATCTATGG
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAAGTAGATGT
Exp:0
split.by:All_cells\",\"Cell:ATCTACTGTGAACCTT
Exp:0.924
split.by:All_cells\",\"Cell:CGATGTAGTGGTACAG
Exp:0
split.by:All_cells\",\"Cell:CTAGCCTGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTGAGTGT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTGACAT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCTCCATGAGT
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAGTACCGAGA
Exp:0
split.by:All_cells\",\"Cell:ACTGAGTGTTTCGCTC
Exp:0
split.by:All_cells\",\"Cell:AGAGCGATCTCTTGAT
Exp:0
split.by:All_cells\",\"Cell:GAAGCAGTCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:GTCGTAAAGGTGATTA
Exp:0
split.by:All_cells\",\"Cell:CACACTCAGGCGCTCT
Exp:0
split.by:All_cells\",\"Cell:TGGGAAGGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CGCGGTACATTAGGCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAAAGAATGTGT
Exp:1.338
split.by:All_cells\",\"Cell:CATGCCTGTTCGTCTC
Exp:6.059
split.by:All_cells\",\"Cell:CTGGTCTTCGTTACAG
Exp:0
split.by:All_cells\",\"Cell:TCTCTAAAGCTGGAAC
Exp:4.824
split.by:All_cells\",\"Cell:CGGTTAAAGTAGCGGT
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CCTTACGCAAGGTGTG
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCACGAAGCA
Exp:0
split.by:All_cells\",\"Cell:CAACCTCGTCTAAACC
Exp:0
split.by:All_cells\",\"Cell:AGCGGTCGTACCGAGA
Exp:1.323
split.by:All_cells\",\"Cell:CTCGTCATCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:GGCCGATGTCAAACTC
Exp:0
split.by:All_cells\",\"Cell:TTCTACAGTGTTGAGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGAGCGCCTTG
Exp:5.795
split.by:All_cells\",\"Cell:GATCGATCAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TTGGCAACATCATCCC
Exp:0
split.by:All_cells\",\"Cell:TTTATGCTCCATTCTA
Exp:0
split.by:All_cells\",\"Cell:AACTTTCAGGCATTGG
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCAGATGGCGT
Exp:0
split.by:All_cells\",\"Cell:TACGGTAGTGTGCCTG
Exp:6.468
split.by:All_cells\",\"Cell:ACTGCTCAGATATGCA
Exp:0.724
split.by:All_cells\",\"Cell:GGCGTGTTCGTGGGAA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCAGGAGTTGC
Exp:2.958
split.by:All_cells\",\"Cell:CTGAAACAGGAGTAGA
Exp:0
split.by:All_cells\",\"Cell:CATGGCGAGCCCTAAT
Exp:0
split.by:All_cells\",\"Cell:ACATGGTCAAGGACTG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCTCTAGC
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCAAAGAATC
Exp:0.589
split.by:All_cells\",\"Cell:GCTCTGTAGCCACCTG
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCACAGGCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGTCATCGATG
Exp:1.4
split.by:All_cells\",\"Cell:AAGACCTAGGTGTGGT
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACACGGCCAT
Exp:0
split.by:All_cells\",\"Cell:CGTGTAATCCATGCTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGCATCAGTAC
Exp:1.116
split.by:All_cells\",\"Cell:GGGATGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTCGTACGTTCCGTCT
Exp:0.745
split.by:All_cells\",\"Cell:ACGAGGACATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ATCTGCCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGAGCAATT
Exp:0
split.by:All_cells\",\"Cell:CACACAACACACTGCG
Exp:0
split.by:All_cells\",\"Cell:TAGGCATTCGTTGCCT
Exp:6.055
split.by:All_cells\",\"Cell:TCTCTAATCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:ACACCCTGTCAGATAA
Exp:0
split.by:All_cells\",\"Cell:AGATCTGTCGATCCCT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTTCTCGCTTG
Exp:0
split.by:All_cells\",\"Cell:CTACGTCAGTCTCGGC
Exp:1.082
split.by:All_cells\",\"Cell:CATCCACTCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TCTCATACAGATCTGT
Exp:0
split.by:All_cells\",\"Cell:CACACCTCACTGCCAG
Exp:0
split.by:All_cells\",\"Cell:CTCGTACCAATGGATA
Exp:0
split.by:All_cells\",\"Cell:ACACCAAAGTAGGCCA
Exp:6.272
split.by:All_cells\",\"Cell:TACACGAGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGTATTGGA
Exp:0
split.by:All_cells\",\"Cell:AGACGTTTCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTGTGAATA
Exp:0
split.by:All_cells\",\"Cell:GCACTCTGTCTGCAAT
Exp:0
split.by:All_cells\",\"Cell:TGTGGTACAAGACGTG
Exp:0.533
split.by:All_cells\",\"Cell:AGGCCGTCACGACGAA
Exp:1.333
split.by:All_cells\",\"Cell:TATGCCCTCTTACCTA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATGTTGAC
Exp:0.947
split.by:All_cells\",\"Cell:AGTCTTTCACGGACAA
Exp:0
split.by:All_cells\",\"Cell:GTCGGGTGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCGTAGGTT
Exp:0
split.by:All_cells\",\"Cell:CGTCTACGTTTCCACC
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCAGACATAAC
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGAGTGGAGAA
Exp:1.014
split.by:All_cells\",\"Cell:CTGATAGTCGGCTACG
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACGTCCATCCT
Exp:0
split.by:All_cells\",\"Cell:CATGACAGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:GACCAATAGAATGTGT
Exp:6.176
split.by:All_cells\",\"Cell:CAGCGACCATATGGTC
Exp:0
split.by:All_cells\",\"Cell:TGCTGCTGTCCGTCAG
Exp:0
split.by:All_cells\",\"Cell:TCAGATGCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:TATCAGGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:GGGAATGGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:TAGTTGGAGTCAAGCG
Exp:0
split.by:All_cells\",\"Cell:TACCTATTCGTTACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGAGGGAAGCCGGTAA
Exp:4.768
split.by:All_cells\",\"Cell:CGTGTCTTCCTTTCGG
Exp:0
split.by:All_cells\",\"Cell:TGATTTCAGTGGAGTC
Exp:2.313
split.by:All_cells\",\"Cell:CTAACTTAGATCACGG
Exp:3.458
split.by:All_cells\",\"Cell:CATCAGAGTCCGAATT
Exp:0
split.by:All_cells\",\"Cell:GAAATGATCGTCCGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCCACTCCA
Exp:0
split.by:All_cells\",\"Cell:GTTCGGGAGGCAATTA
Exp:0
split.by:All_cells\",\"Cell:GCGCCAATCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:AGTGGGATCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:CGACTTCGTTGATTCG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTAACGACG
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCTCTTCCTTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:AAGGAGCAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:TACTTACGTGTGGCTC
Exp:0
split.by:All_cells\",\"Cell:ATGCGATTCGCGTAGC
Exp:0
split.by:All_cells\",\"Cell:ATTGGACAGTCAAGGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGTCCGCTGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTAGACGCACA
Exp:0
split.by:All_cells\",\"Cell:ATGAGGGGTTCTGGTA
Exp:0
split.by:All_cells\",\"Cell:CGACCTTAGCTGCCCA
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTGCCTGCA
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:GTATTCTAGGTGCTTT
Exp:0
split.by:All_cells\",\"Cell:TCTGGAATCGGTGTCG
Exp:0
split.by:All_cells\",\"Cell:GACGTTAAGACGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCGTAGAGGACGG
Exp:0
split.by:All_cells\",\"Cell:ATGAGGGCAAGGTTTC
Exp:1.712
split.by:All_cells\",\"Cell:GTGCGGTCAAAGCAAT
Exp:1.222
split.by:All_cells\",\"Cell:CATCGGGTCATTTGGG
Exp:1.592
split.by:All_cells\",\"Cell:ACATACGGTAAACACA
Exp:5.345
split.by:All_cells\",\"Cell:CTGCTGTGTTATCACG
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTAGTGCCATT
Exp:1.096
split.by:All_cells\",\"Cell:CCACGGAGTCTCTTAT
Exp:0.859
split.by:All_cells\",\"Cell:CCATTCGCATGAAGTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCTGCTGCT
Exp:0
split.by:All_cells\",\"Cell:ACGATGTTCTGCTGCT
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTCACCATCCT
Exp:0
split.by:All_cells\",\"Cell:TAGTTGGGTACCGTAT
Exp:0
split.by:All_cells\",\"Cell:GCGCAACCAACACCTA
Exp:0
split.by:All_cells\",\"Cell:CCAGCGAGTACCGTAT
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCATCTCCCA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCCTGTAGA
Exp:4.012
split.by:All_cells\",\"Cell:GGAAAGCTCTCGGACG
Exp:0
split.by:All_cells\",\"Cell:ACTGATGGTCCGACGT
Exp:1.886
split.by:All_cells\",\"Cell:GTAACGTCAGCCTATA
Exp:3.132
split.by:All_cells\",\"Cell:GGGAGATAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCTAACTCT
Exp:0
split.by:All_cells\",\"Cell:GAAATGACATCTACGA
Exp:1.62
split.by:All_cells\",\"Cell:GTGTGCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TCTCATAGTTACCAGT
Exp:0
split.by:All_cells\",\"Cell:ACGTCAACACGGTGTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:TGTATTCCAATGACCT
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTAGCTAGCCC
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGAGCTGGT
Exp:0
split.by:All_cells\",\"Cell:GGCAATTTCCGAATGT
Exp:0
split.by:All_cells\",\"Cell:GATCGTAGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATCAAGCCGCT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACAGTGG
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTAGCAGGCTA
Exp:0
split.by:All_cells\",\"Cell:CCACTACGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:GGAAAGCAGGCATGGT
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCGAGCCCA
Exp:1.694
split.by:All_cells\",\"Cell:CTCGAAAGTAAAGTCA
Exp:1.29
split.by:All_cells\",\"Cell:TAAACCGAGTCGTACT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGTCATCGCTC
Exp:0.91
split.by:All_cells\",\"Cell:CACCACTCACGAAATA
Exp:0
split.by:All_cells\",\"Cell:CGTAGGCTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:TCGCGTTTCTCTGCTG
Exp:0
split.by:All_cells\",\"Cell:GGACAAGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGCCCAGCT
Exp:6.192
split.by:All_cells\",\"Cell:TCACGAATCCTATGTT
Exp:0.939
split.by:All_cells\",\"Cell:ACGCAGCGTGGCTCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:ATAACGCAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:ATTCTACTCAGGTAAA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCCAAGCGTAG
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGGCGTG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAAGTCCGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGAATGAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CACAGGCTCAAGATCC
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCAGTTCGCAT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTTCGCCATAA
Exp:6.366
split.by:All_cells\",\"Cell:CCACTACAGAGTACCG
Exp:0.77
split.by:All_cells\",\"Cell:AGCCTAAAGCCCAACC
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:AGTGGGACAGTATCTG
Exp:1.13
split.by:All_cells\",\"Cell:CAACCAATCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:TGTCCCATCTTGACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCCATCAGTCGTGC
Exp:0
split.by:All_cells\",\"Cell:GTTTCTAGTCCTCTTG
Exp:1.25
split.by:All_cells\",\"Cell:GCACATACATTACGAC
Exp:0.842
split.by:All_cells\",\"Cell:ATGGGAGTCGGTTCGG
Exp:0.948
split.by:All_cells\",\"Cell:ATAAGAGTCCGAACGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCGAAGCTTCGCG
Exp:0
split.by:All_cells\"]],\"marker\":{\"color\":[0,0,0,0,0,0,0,6.1373319095338266,0,0,0,0,0,0.9427016432373585,0,0,0,1.1527365306083937,0,0,0,6.7350327481314016,0,6.7333140004710312,1.4732987305729146,0,0.84920716884312386,1.5623522326000949,4.6877005872992283,0,0,0,0,0,1.1421700298311563,4.0391464366184993,0,0,0,5.8612947049477571,0,0.87196041019970427,0,0,0,0,0,0,0,0,0,7.3928736669465795,1.2254155411418599,0.96105972171291154,5.9045528222811186,0,0,0,1.1760824144865274,3.7532484482111994,0,0,0,0.87010225736033242,0,0,0,0,0,0.91572111065685236,0,0,1.8665537061930817,0,0.78782516641227618,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5.1233828851612158,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.0940994060421532,0,0.53518501380637074,0,0.63022879389110731,0,0,0.93286552800590949,6.9596885024335728,0,0,0,0,1.5809383714395906,0,0,0,0,0,0.85842196119402958,0,2.518423073118468,0,0,0,1.0022611579964082,0.81645574907910889,0,0.94896309719237015,0,0,1.1231337003681556,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.84019947302087228,0,0,0,0,0,0,0,0,1.1391283740409952,0,0,0,0,0,0,0,0,0,0,0,0,0.8525897910573963,0,0,0,1.4809943821481557,0.90991843862632116,0,0,0,0.8444130605122202,0.90192533875198411,0,0,0,0,0,0,0,3.5352243642162544,0,0,0,0,1.1091216820804584,0,0.81246103466799258,0,0,6.5696319698129599,0,0,0.95689204778112114,4.9270081960188659,0.90797220499906428,0.75669539249866491,0,0.5877155626392595,0,0,0,1.0904789369487944,0,0,0,5.8501392479169345,0,0.79923561626434947,0,0,3.2573456406638992,0,0,0,1.4042984633847209,5.1362044518106833,0,0,0,6.6529386102465331,0,0,0,0.96931028411198716,0,0,0,0,0.84222545431886142,0,0,0,0,0,0,0,0,1.5295247690781295,0,3.5893703302245741,5.1562109119895609,5.4840890257634065,0,0.94702700370299153,0,0,0,0,0,1.0459286400024403,0.92142126976160854,0,5.3137677260324505,0,0,0,0,0,0,0,0,0,0,0,0,6.472525422642792,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5.8720384182025729,0,0,0,0,0,0,0,0,0,0,3.4112433991843094,0,0,0,0,1.036209248189236,0.99296852700923943,0,6.4193466730427202,0,0,0,0,0,0,0,0.93690558457558371,0.69859129119332231,2.5537004615388099,0,0,0,0,2.0151630647512455,0,0,0,0,0,0.84019947302087228,0,0,1.1174961537131138,0,0,0,0,0,0,1.3548146757612978,0,0,0,0,0,0,0,0,0,3.6733894861234786,0,0,0,2.1563353819614268,0,4.3907620472910098,0,0.49720673623118677,0,0,0,0,0,0,0,0,4.0993532687927061,0,0,0,1.0421121707289513,0.88983185447370239,0,0.8224188435054387,0.90070890824588823,0,0.96880283528015321,0,0,0,0,0,0,0,0,1.2032732590018504,0,0,0,0,0.98775666908954429,0.92655221418658118,1.1365354601818092,0,0,0,0,5.4160923977699635,0,4.5963084494255249,0,0,0,0.90253486954379158,0,0,0,6.060809152196045,5.4609189707222061,1.0891035006990823,1.1133602220508478,0,0,0.87220339987194351,0,0,0,1.0801586829528675,0,0,0,0,0,0,0,0,0,0,0.5993587058508304,0,0.60091734922642137,0,0,0,0,0,0,0,5.0281497645193198,0.86117270752363739,0,0,0,0,0,0,0,0,4.1243834580136722,0.96839728802492864,1.5769654995487055,4.2191515487817979,0,0,3.6834350660209503,0,0,0,0,0,0,0,0,0,0,0.93851318462433386,0,4.7663046418366255,2.4993637304437319,0,4.628125976404986,0,4.6395398716111789,0,0,6.3490529533116584,0,0,0,0,0,0,0.91258680267396641,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.1815358924526229,0,0,0,0,0.77808632326436744,2.0134743561002892,0,0,0,6.3696230726816268,0.86227825113378143,0,2.7573116719268147,0,0,0.74135639210777937,1.1418795742418286,0,0,0,0,0,0,0,0,5.5245349067085039,0,0,0,0,0,0,0.93832374821904607,0,1.0210827022817861,0,0,0,5.9807064195170794,0,0,0,0,0,0,0.96385994184769397,0,0.52806743020049673,0,1.7421447894148256,0,0.89553502124670215,0,5.6299358095816903,0,0,0.58661573574259929,0,5.3600804444197951,0,0,6.1442433628944642,0,0,0,0,0,0,5.1564862611902971,1.0004093456370975,0,5.7958264011968446,1.104109017885327,0,0,0,0.69894722203707371,0,6.5520272082773623,0,0,0,0,0,0,0,0,0.55601824060279159,0,1.7654461080116346,0,0,1.046407841349742,0,0,0,0,0,0.877750040440333,1.0579313146665736,0,0,0,0,0,0,0,0,0,0,0,0,0,4.2222869236863545,0.99565061261778065,3.3855212865266462,0.8742339248069394,0,0,0,0,5.2804602603779189,0,0,0,0,0,0,0,0,0,0.73672729347872912,0,0,0,1.1857815173595507,0,0,0,1.0080824042051777,0,0,0,0,0.91027325713452412,0.8999287636548966,0,0,0,0,0.88717716364413435,0,0.80995922114759833,1.1603532983133578,0,6.8392566193327733,0,0,0,0,1.1265746368049399,0,0,0.79130449325557062,0,0,0,0,1.0725103003709471,0,0,0,0,0,0,0,0,0.96115942813540989,0,0,0,0,0.94222366298463489,0,0,0,0,0,0,5.0493214659805359,0,1.0267992640493826,0,0,1.0200610496290334,0,0,0,0,0,0,7.1692871398364888,0.81547075700587346,0,0,0,0,0,0,0,4.1142087332882795,0,0,0,0,0,0,0,0,0,0,0,0.57455351443626046,0,0,0,0,0.89889081017329064,0.99019567208348713,0,0,0,0,5.1452033194951028,0,0,0,5.7316926832850736,0.91608078331078169,0,0,0.79428411387684883,0,2.8252891177644854,0,0,0,0,0,0,0,0,0,0,0,0,0,6.059295836579806,0,4.643242725205476,0.96335861525687694,4.0153160563748429,0.92969739215427039,0,1.3112371719988365,0,0,0,0,5.3136350956718283,0,0,1.8385870825276309,0,0,0,0,0,0.99489805080822968,0,0,0,0,0,0.92370433720377143,0,0,0,0,0,0,0,0,0,0,0,0,0,1.3375709269521165,6.0590318406963064,0,4.8239585883815028,0,0,0,0,0,1.3232427472144428,0,0,0,0,5.7953343923975549,0,0,0,0,0,0,6.4677561685472673,0.72385123217815561,0,2.9583899184828488,0,0,0,0,0,0.58874828049028349,0,0,0,1.4002551341476428,0,0,0,1.116113752882141,0,0.7452897765379406,0,0,0,0,6.0546369208445361,0,0,0,0,0,0,1.0819605337784988,0,0,0,0,6.2716135313591845,0,0,0,0,0,0.53252931374985135,1.3334410499327689,0,0.94664080235175252,0,0,0,0,0,0,1.0144253440823081,0,0,0,0,0,6.1758672701057611,0,0,0,0,0,0,0,0,4.7681656612925947,0,2.3126183191270959,3.457877592586633,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.7118617553294966,1.2215212745673165,1.5923785822849923,5.3454841355764398,0,1.0959527126323509,0.85865700889428154,0,0,0,0,0,0,0,0,0,0,4.012367602330742,0,1.8862216523735502,3.1317395977981195,0,0,1.6198655916463052,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.6938704786930849,1.290430814326913,0,0.91018452480096268,0,0,0,0,6.1923408286714485,0.93851318462433386,0,0,0,0,0,0,0,0,0,0,6.3664593145394957,0.76990205738238604,0,0,1.1299679927546471,0,0,0,1.2497355233037755,0.84237593847747116,0.94838137709542192,0,0],\"colorbar\":{\"title\":{\"text\":\"Ins1\",\"font\":{\"color\":\"black\",\"size\":14}},\"len\":0.5},\"size\":1.5,\"showscale\":true}}],\"label\":\"Ins1\"},{\"method\":\"update\",\"args\":[{\"text\":[[\"Cell:CAGCCGAAGCGATATA
Exp:0
split.by:All_cells\",\"Cell:AGTGTCATCGCCGTGA
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGTTGTAGA
Exp:0.536
split.by:All_cells\",\"Cell:CACAGTACATCCGTGG
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTCATTGGGCC
Exp:0.858
split.by:All_cells\",\"Cell:AGAGCTTGTGTGACCC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:ACCGTAACAAGGTTCT
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGGTGGGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGGTCCCTTGT
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTGTCTTCTCG
Exp:0
split.by:All_cells\",\"Cell:CCGTGGACACGAAGCA
Exp:0
split.by:All_cells\",\"Cell:GAACATCAGCAATATG
Exp:0
split.by:All_cells\",\"Cell:TTCTACACAGTCGATT
Exp:6.59
split.by:All_cells\",\"Cell:ACGGCCACACGTGAGA
Exp:0
split.by:All_cells\",\"Cell:CTCGTACAGAGGTTAT
Exp:0.584
split.by:All_cells\",\"Cell:CGTCTACAGATGCGAC
Exp:1.759
split.by:All_cells\",\"Cell:CTCACACGTCACACGC
Exp:0
split.by:All_cells\",\"Cell:AAAGCAACACGGTAAG
Exp:0
split.by:All_cells\",\"Cell:CATCGGGCACGTTGGC
Exp:0
split.by:All_cells\",\"Cell:ATCATCTGTGTTTGTG
Exp:0
split.by:All_cells\",\"Cell:CAAGGCCCAAGAAAGG
Exp:0
split.by:All_cells\",\"Cell:AGATCTGGTTCGGCAC
Exp:0
split.by:All_cells\",\"Cell:CTCTGGTCAAGACACG
Exp:0
split.by:All_cells\",\"Cell:TACAGTGTCCCTAACC
Exp:0
split.by:All_cells\",\"Cell:GGACAGATCAGCATGT
Exp:0
split.by:All_cells\",\"Cell:CACTCCACATATGGTC
Exp:0
split.by:All_cells\",\"Cell:GTTCATTGTTCCAACA
Exp:6.565
split.by:All_cells\",\"Cell:TAAGTGCCAATAGCAA
Exp:0
split.by:All_cells\",\"Cell:TACTCGCTCTTCGGTC
Exp:0.802
split.by:All_cells\",\"Cell:GCTGCTTTCCTCGCAT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTGTCTAGAGG
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:CGAGCACTCTAACTCT
Exp:0
split.by:All_cells\",\"Cell:GATCGTAAGTGCAAGC
Exp:0
split.by:All_cells\",\"Cell:TGTCCCAGTCTCGTTC
Exp:0
split.by:All_cells\",\"Cell:CTTGGCTCAGCCACCA
Exp:0
split.by:All_cells\",\"Cell:GGGTCTGGTAAACCTC
Exp:0
split.by:All_cells\",\"Cell:CGGACTGTCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:GGTGCGTTCTGGTATG
Exp:0
split.by:All_cells\",\"Cell:TACCTTATCCGATATG
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCTCTATCGCC
Exp:0
split.by:All_cells\",\"Cell:GTACGTACATCGATGT
Exp:0
split.by:All_cells\",\"Cell:TCGTAGATCTTTACGT
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGAGAGTGAGA
Exp:1.418
split.by:All_cells\",\"Cell:AGCGTATTCTGCTGTC
Exp:0
split.by:All_cells\",\"Cell:GGACAAGTCATAACCG
Exp:0
split.by:All_cells\",\"Cell:ACATCAGTCCTTGGTC
Exp:0
split.by:All_cells\",\"Cell:CCAGCGACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:GGACAGAAGTGGAGAA
Exp:0
split.by:All_cells\",\"Cell:GACTACAAGCGTGTCC
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTAGAGCTG
Exp:0
split.by:All_cells\",\"Cell:GTTCTCGCAAGTCTAC
Exp:3.397
split.by:All_cells\",\"Cell:CGAATGTTCTTCATGT
Exp:0
split.by:All_cells\",\"Cell:CCGTGGACATTCCTGC
Exp:0
split.by:All_cells\",\"Cell:CTAATGGAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:AGCGGTCGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:GTATTCTTCACTTACT
Exp:0
split.by:All_cells\",\"Cell:CAGTCCTAGGTGGGTT
Exp:0
split.by:All_cells\",\"Cell:CGACTTCCACAACGTT
Exp:0
split.by:All_cells\",\"Cell:AAACGGGTCCGCGCAA
Exp:0
split.by:All_cells\",\"Cell:CTAGTGACATTGAGCT
Exp:0
split.by:All_cells\",\"Cell:CTCCTAGAGAGTGACC
Exp:0
split.by:All_cells\",\"Cell:GCAGTTATCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:CGAACATCAAGCGAGT
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGCGAAGGG
Exp:0
split.by:All_cells\",\"Cell:CATCGGGAGGCCCTTG
Exp:6.899
split.by:All_cells\",\"Cell:TGGACGCAGCTGCAAG
Exp:3.845
split.by:All_cells\",\"Cell:CAGAATCCACGCATCG
Exp:0.656
split.by:All_cells\",\"Cell:CTCGGAGGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CGGACACTCTATCCTA
Exp:3.416
split.by:All_cells\",\"Cell:CGTGTAATCATTATCC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAAGTTAAGATG
Exp:4.626
split.by:All_cells\",\"Cell:ATTTCTGTCCCTGACT
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CAGATCACAACCGCCA
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGCATTCCTCG
Exp:0
split.by:All_cells\",\"Cell:CCACGGACAGATGAGC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAAGAAGATTC
Exp:0
split.by:All_cells\",\"Cell:CATGACACAAAGTCAA
Exp:0
split.by:All_cells\",\"Cell:AACGTTGTCAGTTAGC
Exp:0
split.by:All_cells\",\"Cell:CTGGTCTAGGTGATTA
Exp:0
split.by:All_cells\",\"Cell:TCAGGATTCCAGTAGT
Exp:5.93
split.by:All_cells\",\"Cell:CATTATCGTCATATCG
Exp:0
split.by:All_cells\",\"Cell:GCGCAACAGTGTACCT
Exp:0
split.by:All_cells\",\"Cell:GTGCATACAATAGCAA
Exp:0
split.by:All_cells\",\"Cell:TTTACTGGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:GTAGTCAGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:CCTACACGTTCTCATT
Exp:1.159
split.by:All_cells\",\"Cell:AGCTCTCTCAACACGT
Exp:0.827
split.by:All_cells\",\"Cell:CTAACTTGTAGGAGTC
Exp:5.476
split.by:All_cells\",\"Cell:ACGAGCCGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:GTAGGCCGTTACCAGT
Exp:0
split.by:All_cells\",\"Cell:TCTCATATCAGAGCTT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTGTCATACTG
Exp:0
split.by:All_cells\",\"Cell:GGGAATGTCGACCAGC
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCAGGGTTTCT
Exp:0
split.by:All_cells\",\"Cell:CGGACTGAGGTAGCTG
Exp:0.958
split.by:All_cells\",\"Cell:CAACCTCTCTCTGTCG
Exp:0
split.by:All_cells\",\"Cell:CTGAAACGTTCCCTTG
Exp:0
split.by:All_cells\",\"Cell:GTAGTCAGTACTCAAC
Exp:1.037
split.by:All_cells\",\"Cell:AGGCCACCACCTATCC
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTACCGTTA
Exp:0
split.by:All_cells\",\"Cell:TTCTACAAGATCGATA
Exp:0
split.by:All_cells\",\"Cell:TCACAAGCACCGAAAG
Exp:0
split.by:All_cells\",\"Cell:TCGGGACGTCATCGGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGAGGAACTGC
Exp:0
split.by:All_cells\",\"Cell:CATATGGCATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:ATCATCTTCTGTCAAG
Exp:0.535
split.by:All_cells\",\"Cell:CCGTTCACAGTAGAGC
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:TTTGTCAGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:ATTATCCAGACCCACC
Exp:0
split.by:All_cells\",\"Cell:CACCACTCAATCTACG
Exp:0
split.by:All_cells\",\"Cell:GCGCGATGTCCGAATT
Exp:1.247
split.by:All_cells\",\"Cell:CATTATCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGCTAAGAT
Exp:0
split.by:All_cells\",\"Cell:GCGCGATTCGCGTAGC
Exp:0
split.by:All_cells\",\"Cell:CTACATTCACCGTTGG
Exp:0
split.by:All_cells\",\"Cell:TCATTTGCATTGGCGC
Exp:1.075
split.by:All_cells\",\"Cell:AGCAGCCCAGGAATGC
Exp:0
split.by:All_cells\",\"Cell:GGGATGAGTCTGCGGT
Exp:0
split.by:All_cells\",\"Cell:TGCGCAGTCTGCCAGG
Exp:0
split.by:All_cells\",\"Cell:AGCGTATTCTCGTATT
Exp:0
split.by:All_cells\",\"Cell:GTCTCGTAGATCTGCT
Exp:0.821
split.by:All_cells\",\"Cell:CAGAATCGTGTAAGTA
Exp:0
split.by:All_cells\",\"Cell:TGACTTTAGGTCATCT
Exp:0
split.by:All_cells\",\"Cell:GTGCATATCAGAGACG
Exp:0
split.by:All_cells\",\"Cell:TGGCCAGCACGAAAGC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCACAATGTTGC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACGTCTGATCA
Exp:0
split.by:All_cells\",\"Cell:CAGCGACAGATCACGG
Exp:0
split.by:All_cells\",\"Cell:AAAGATGAGTGAACAT
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTGTCAGAGGT
Exp:0
split.by:All_cells\",\"Cell:ATTTCTGAGAAGATTC
Exp:0
split.by:All_cells\",\"Cell:CTCTAATTCACCATAG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTTCTTGTCAT
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:CCTAAAGTCATGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCACAGCTGTCTA
Exp:0.855
split.by:All_cells\",\"Cell:GAAATGACACATGACT
Exp:0
split.by:All_cells\",\"Cell:ACTGAGTAGGCTAGGT
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGAGCTGCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCACAGATCGGA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTTCTGGTGTA
Exp:0.815
split.by:All_cells\",\"Cell:CGTGTCTCATACTCTT
Exp:0
split.by:All_cells\",\"Cell:ACTATCTGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCGATAGAA
Exp:0
split.by:All_cells\",\"Cell:GTTCTCGCAGCTGGCT
Exp:0.941
split.by:All_cells\",\"Cell:CATATGGAGGCCCGTT
Exp:1.144
split.by:All_cells\",\"Cell:ACTGAACAGCCTCGTG
Exp:0.981
split.by:All_cells\",\"Cell:CCTAGCTCAGGTGCCT
Exp:0
split.by:All_cells\",\"Cell:CCCTCCTAGACCCACC
Exp:0
split.by:All_cells\",\"Cell:TTAACTCGTCCGAACC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCCATAAAGGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCAAACCAC
Exp:0
split.by:All_cells\",\"Cell:GTTCTCGGTTTGTGTG
Exp:0
split.by:All_cells\",\"Cell:ACATCAGTCCGTTGTC
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCCTTTCTC
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGCCAACAG
Exp:3.493
split.by:All_cells\",\"Cell:AAGACCTAGTAGGCCA
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCACGAGGTA
Exp:6.349
split.by:All_cells\",\"Cell:GGACAGAAGGCCGAAT
Exp:1.038
split.by:All_cells\",\"Cell:ACTGTCCCACGTAAGG
Exp:0
split.by:All_cells\",\"Cell:TCCACACCAGGCGATA
Exp:5.73
split.by:All_cells\",\"Cell:CGTCACTCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:CACACCTGTCGCTTTC
Exp:0
split.by:All_cells\",\"Cell:GGCTCGAGTCGCTTCT
Exp:0
split.by:All_cells\",\"Cell:TGGCTGGCAGTGAGTG
Exp:0
split.by:All_cells\",\"Cell:GATGAAACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:TTCTTAGTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TCCCGATGTAAGTGTA
Exp:0.783
split.by:All_cells\",\"Cell:CTGAAACAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCTGCTGTC
Exp:1.306
split.by:All_cells\",\"Cell:GATCGCGAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGTGGTAGC
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTAAGAGAG
Exp:5.984
split.by:All_cells\",\"Cell:CATCAGAGTTCGCTAA
Exp:5.254
split.by:All_cells\",\"Cell:CCATTCGGTGCTAGCC
Exp:6.46
split.by:All_cells\",\"Cell:CCACTACTCTTTAGTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTGAAATCA
Exp:0
split.by:All_cells\",\"Cell:ACCGTAATCTATCCCG
Exp:0.584
split.by:All_cells\",\"Cell:ACTTACTCAATACGCT
Exp:0
split.by:All_cells\",\"Cell:GAACGGATCACAACGT
Exp:0
split.by:All_cells\",\"Cell:CGGTTAAGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTGTTACGCGC
Exp:2.533
split.by:All_cells\",\"Cell:CAAGAAACACTAGTAC
Exp:0
split.by:All_cells\",\"Cell:AGTTGGTGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:CGTCCATGTCTAACGT
Exp:1.42
split.by:All_cells\",\"Cell:CAGCTAACAACACGCC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACCATACGCTA
Exp:0
split.by:All_cells\",\"Cell:CTCGTACCAGCCAGAA
Exp:0
split.by:All_cells\",\"Cell:ATTATCCGTATAAACG
Exp:0
split.by:All_cells\",\"Cell:GTACTTTTCAGTTCGA
Exp:5.216
split.by:All_cells\",\"Cell:AGTAGTCCACATGACT
Exp:0.884
split.by:All_cells\",\"Cell:AGTGAGGTCTGTTGAG
Exp:0
split.by:All_cells\",\"Cell:TCTCATAAGCAGATCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGATCAGGATCT
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCCAAGTCATC
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTACTTCTT
Exp:0
split.by:All_cells\",\"Cell:GTCCTCAAGTTCGATC
Exp:3.02
split.by:All_cells\",\"Cell:GCCAAATGTAAACACA
Exp:0
split.by:All_cells\",\"Cell:ACTTACTGTTTGGGCC
Exp:0
split.by:All_cells\",\"Cell:ACTTACTCACCGTTGG
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGAGGACCACA
Exp:0
split.by:All_cells\",\"Cell:AAGACCTGTGGCTCCA
Exp:0
split.by:All_cells\",\"Cell:AACTTTCCACAGTCGC
Exp:0
split.by:All_cells\",\"Cell:CAGATCATCTCGATGA
Exp:0
split.by:All_cells\",\"Cell:TGTTCCGGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:GCGCCAAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTTCGCACTCT
Exp:0.924
split.by:All_cells\",\"Cell:GTAACTGTCAGTGCAT
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTACGGAG
Exp:4.731
split.by:All_cells\",\"Cell:AGCAGCCGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:CGCCAAGTCTAAGCCA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCATGTAGC
Exp:0
split.by:All_cells\",\"Cell:ATGCGATGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGACAGACC
Exp:0.799
split.by:All_cells\",\"Cell:GTCAAGTAGTATCGAA
Exp:6.515
split.by:All_cells\",\"Cell:TCAGGTACAGTCACTA
Exp:6.334
split.by:All_cells\",\"Cell:TATCTCACATTGTGCA
Exp:0
split.by:All_cells\",\"Cell:CGTAGCGAGACTGTAA
Exp:0
split.by:All_cells\",\"Cell:ACGATGTGTCGCGGTT
Exp:0
split.by:All_cells\",\"Cell:CTCTGGTTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTAGTAAGTAC
Exp:4.903
split.by:All_cells\",\"Cell:CAGAATCCACAAGCCC
Exp:0.734
split.by:All_cells\",\"Cell:GTAACTGGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AACTTTCGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCAATCCGAT
Exp:3.131
split.by:All_cells\",\"Cell:TTTCCTCAGTGTCCCG
Exp:0.691
split.by:All_cells\",\"Cell:TATTACCGTTGAGTTC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCATCAGAGCTT
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCGCCTGAG
Exp:0
split.by:All_cells\",\"Cell:TCGTACCCATATACGC
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCGTTGATTCG
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTCATTCGACA
Exp:0.943
split.by:All_cells\",\"Cell:GGTGTTACATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CCTCTGACATCGGTTA
Exp:0
split.by:All_cells\",\"Cell:CTCTACGCACTAAGTC
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGGTGAAGGCT
Exp:0
split.by:All_cells\",\"Cell:ACGTCAACAGACAAAT
Exp:0
split.by:All_cells\",\"Cell:TCGAGGCAGTTAACGA
Exp:5.825
split.by:All_cells\",\"Cell:CAAGTTGTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTACTTGAC
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTTCTTGAGGT
Exp:0.887
split.by:All_cells\",\"Cell:GCACATAAGCAATATG
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGTGACATA
Exp:0
split.by:All_cells\",\"Cell:TGTGGTACAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TAAGAGACAGTAGAGC
Exp:1.015
split.by:All_cells\",\"Cell:CACATTTTCGAGGTAG
Exp:0
split.by:All_cells\",\"Cell:AGACGTTCAATGGTCT
Exp:1.021
split.by:All_cells\",\"Cell:GGAACTTGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGATCTAGCACA
Exp:0
split.by:All_cells\",\"Cell:CGTAGCGTCACTATTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCACTGTGTA
Exp:0
split.by:All_cells\",\"Cell:TGCGCAGTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCGGAATCT
Exp:0
split.by:All_cells\",\"Cell:ACTGATGGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CAGTAACAGCCACCTG
Exp:0
split.by:All_cells\",\"Cell:ACTGATGAGTGCAAGC
Exp:0
split.by:All_cells\",\"Cell:CTGCTGTGTTGTGGCC
Exp:0
split.by:All_cells\",\"Cell:GAGTCCGCAATTGCTG
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTAGCGTAATA
Exp:1.351
split.by:All_cells\",\"Cell:GTCATTTGTCTCAACA
Exp:0
split.by:All_cells\",\"Cell:GACTAACCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:GGTGAAGAGCAGGTCA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGTCTGATACG
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTCACCGAATT
Exp:6.297
split.by:All_cells\",\"Cell:CAGGTGCAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAAGCTACCTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCGTGCAGACA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGAGTTTGCGT
Exp:1.18
split.by:All_cells\",\"Cell:TCTATTGCAGTAAGCG
Exp:0
split.by:All_cells\",\"Cell:TTGGCAATCGGATGGA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGAGTCATCCA
Exp:0
split.by:All_cells\",\"Cell:CACCACTTCAGCTTAG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAGTATCGCAT
Exp:0
split.by:All_cells\",\"Cell:ACGGGCTAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAGTGTATGGG
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:GATCGATAGAAAGTGG
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCCAGGGCT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGTCCTACAGA
Exp:0
split.by:All_cells\",\"Cell:AGGGATGTCGCATGGC
Exp:1.111
split.by:All_cells\",\"Cell:TGCCCTACAATCACAC
Exp:0.897
split.by:All_cells\",\"Cell:CCCATACTCGTGGACC
Exp:1.011
split.by:All_cells\",\"Cell:GACTAACCATGAGCGA
Exp:4.91
split.by:All_cells\",\"Cell:TCACAAGAGCCACTAT
Exp:0
split.by:All_cells\",\"Cell:GGCAATTTCACATGCA
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCAGGAATGGA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:GCATGTAAGAATCTCC
Exp:0
split.by:All_cells\",\"Cell:GTTACAGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:GTTCGGGAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGTCTGGAGCC
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCGTTTAGG
Exp:0.967
split.by:All_cells\",\"Cell:GCATGCGCAAATTGCC
Exp:0
split.by:All_cells\",\"Cell:TCAACGACACCATCCT
Exp:0
split.by:All_cells\",\"Cell:CCTCTGATCATGTCTT
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCTTCTGGC
Exp:7.089
split.by:All_cells\",\"Cell:CTCAGAATCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:CGTCCATCATGGTAGG
Exp:0
split.by:All_cells\",\"Cell:TTAGTTCCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCAACACGT
Exp:0
split.by:All_cells\",\"Cell:CAGCAGCAGAGGTACC
Exp:1.007
split.by:All_cells\",\"Cell:ATCATGGGTTCTCATT
Exp:6.82
split.by:All_cells\",\"Cell:CTAGCCTGTGCGATAG
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGGTCTCCACT
Exp:6.297
split.by:All_cells\",\"Cell:GCATGATCATGCATGT
Exp:0
split.by:All_cells\",\"Cell:TACGGTATCCCATTTA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGAAGCTAGGCA
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTCGAGTTT
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTACGAAAT
Exp:0.566
split.by:All_cells\",\"Cell:GTATTCTTCAGGTAAA
Exp:0.666
split.by:All_cells\",\"Cell:TACCTATGTAACGTTC
Exp:1.36
split.by:All_cells\",\"Cell:TCACAAGCAACGATGG
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTTCAGCACAT
Exp:0
split.by:All_cells\",\"Cell:TGCCAAACATGACATC
Exp:0.699
split.by:All_cells\",\"Cell:CTAAGACGTACTCTCC
Exp:0
split.by:All_cells\",\"Cell:CGATGGCTCAGTGTTG
Exp:3.925
split.by:All_cells\",\"Cell:CCAGCGACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:TGAGAGGAGCCAGGAT
Exp:0
split.by:All_cells\",\"Cell:AGAGCGACACAACTGT
Exp:0.685
split.by:All_cells\",\"Cell:CTTTGCGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTTCCTTTCGG
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGTCCGGTC
Exp:1.029
split.by:All_cells\",\"Cell:GGGATGATCTGTCCGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACATCCTAGA
Exp:0.845
split.by:All_cells\",\"Cell:GCACATATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:CATCCACCAGATGGGT
Exp:6.43
split.by:All_cells\",\"Cell:TGCCCTATCATAAAGG
Exp:5.821
split.by:All_cells\",\"Cell:ACTGTCCAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCACTTCC
Exp:0
split.by:All_cells\",\"Cell:GACAGAGCAGTCAGAG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTTCAGTCCCT
Exp:0
split.by:All_cells\",\"Cell:AATCGGTGTCACACGC
Exp:0
split.by:All_cells\",\"Cell:TACGGATAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGCAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:CCACGGAGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTATTG
Exp:0.891
split.by:All_cells\",\"Cell:AGATTGCCACCAGGCT
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:CACCAGGGTACCTACA
Exp:0
split.by:All_cells\",\"Cell:GGCCGATTCAGAGACG
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCTAAGCCA
Exp:6.856
split.by:All_cells\",\"Cell:GACTGCGGTCGCCATG
Exp:0
split.by:All_cells\",\"Cell:GAATGAACAGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:CGCTGGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTAATGGCATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGATCAATCTCT
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTTCGTACGGC
Exp:1.507
split.by:All_cells\",\"Cell:TTCCCAGAGGATTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTCATCTCCCA
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTAGTGAATTG
Exp:0
split.by:All_cells\",\"Cell:TACCTATGTCCAACTA
Exp:0
split.by:All_cells\",\"Cell:TACTTGTAGACAAAGG
Exp:0
split.by:All_cells\",\"Cell:GTCCTCACACCACGTG
Exp:0
split.by:All_cells\",\"Cell:TAAACCGCATTCCTCG
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:TCAGCTCAGGCTATCT
Exp:0
split.by:All_cells\",\"Cell:CACAGTAGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGCACACATGT
Exp:0
split.by:All_cells\",\"Cell:ACGGCCACACGCTTTC
Exp:0.719
split.by:All_cells\",\"Cell:AGATTGCCATTCCTGC
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCAGGTTCA
Exp:0
split.by:All_cells\",\"Cell:TGAGGGACAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:TACGGTATCTTTCCTC
Exp:0.828
split.by:All_cells\",\"Cell:GATCGCGAGCGTTGCC
Exp:0
split.by:All_cells\",\"Cell:CAGCGACCACAGGAGT
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGCTTGC
Exp:1.576
split.by:All_cells\",\"Cell:GTCACGGCATACTACG
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGTCCGAGCCA
Exp:0
split.by:All_cells\",\"Cell:GGACAGATCCTGCAGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTCCATCCT
Exp:6.048
split.by:All_cells\",\"Cell:AACTTTCCACTGCCAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTCATGCCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGAGTGCACCAC
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTGACTCAT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTGCGGCA
Exp:0
split.by:All_cells\",\"Cell:GGCGACTCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTAGCTGCCCA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCAAACAACA
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTACATCCA
Exp:0
split.by:All_cells\",\"Cell:CATGGCGAGAGTCTGG
Exp:0
split.by:All_cells\",\"Cell:CGTGTAATCGTTGACA
Exp:0
split.by:All_cells\",\"Cell:CGATCGGAGCTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGCACCTAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACATAGTAAG
Exp:1.067
split.by:All_cells\",\"Cell:GAACGGACAAGGTGTG
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGGGTGAAGGTGCAAC
Exp:0
split.by:All_cells\",\"Cell:CTACACCCAGGGCATA
Exp:1.399
split.by:All_cells\",\"Cell:AAGCCGCGTTATCCGA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCTCTTGCATT
Exp:2.386
split.by:All_cells\",\"Cell:AACTGGTTCGTCCAGG
Exp:4.293
split.by:All_cells\",\"Cell:AAGTCTGGTCTCCATC
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTGTGTAAGTA
Exp:0
split.by:All_cells\",\"Cell:CGCTATCAGGTGATAT
Exp:0
split.by:All_cells\",\"Cell:AACTCTTAGCTAACAA
Exp:1.113
split.by:All_cells\",\"Cell:GTGTGCGGTAGTACCT
Exp:0
split.by:All_cells\",\"Cell:GGGTCTGCAGCAGTTT
Exp:0
split.by:All_cells\",\"Cell:CGTAGGCCAACACCCG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACTCTACCTGC
Exp:0
split.by:All_cells\",\"Cell:CATCGAAAGATGTTAG
Exp:0
split.by:All_cells\",\"Cell:GCAATCACAGCTGCTG
Exp:0
split.by:All_cells\",\"Cell:AACACGTAGTAATCCC
Exp:0.911
split.by:All_cells\",\"Cell:GATCTAGCATCACCCT
Exp:0.702
split.by:All_cells\",\"Cell:GGCTCGACAGCTTCGG
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAGTTAGAACA
Exp:0
split.by:All_cells\",\"Cell:GAGCAGAAGCCAGTTT
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGGTAAGTAGT
Exp:0
split.by:All_cells\",\"Cell:GGACAGAGTCAGCTAT
Exp:6.368
split.by:All_cells\",\"Cell:ACTTTCAAGGATATAC
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTATAATGG
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTCATGCGCAC
Exp:5.618
split.by:All_cells\",\"Cell:AGCGTATCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:GTACTCCGTAGCGATG
Exp:0
split.by:All_cells\",\"Cell:CTGTGCTCAGCTCCGA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCAAGAAGT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACACGGTAAG
Exp:0.825
split.by:All_cells\",\"Cell:CAACCAAAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAAGTGGTAAT
Exp:0
split.by:All_cells\",\"Cell:CGAATGTAGTTCCACA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGACAATCGGTT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCCAGTATG
Exp:1.169
split.by:All_cells\",\"Cell:TTCTTAGTCGGCGCTA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCTGACCTC
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTCCACTC
Exp:0
split.by:All_cells\",\"Cell:TAAACCGAGGATGGAA
Exp:0.924
split.by:All_cells\",\"Cell:CTTACCGCAAAGTCAA
Exp:0
split.by:All_cells\",\"Cell:CGGTTAATCGTCTGAA
Exp:1.217
split.by:All_cells\",\"Cell:CTCGTCATCGGTCTAA
Exp:0
split.by:All_cells\",\"Cell:GTTAAGCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAATCTGCA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGCGTCTAT
Exp:0
split.by:All_cells\",\"Cell:TGGACGCGTATTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCACGGAAGATCCTGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTTTAGGG
Exp:0
split.by:All_cells\",\"Cell:CAGTAACCATGCCTAA
Exp:0
split.by:All_cells\",\"Cell:AGTAGTCAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCCACCTTGTC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTGTATATCCG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACGCGTAGACGCACA
Exp:2.579
split.by:All_cells\",\"Cell:CCTCAGTGTGATAAGT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCACAAGCCC
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCGGCACA
Exp:6.646
split.by:All_cells\",\"Cell:TGCGTGGTCTTTACGT
Exp:0.968
split.by:All_cells\",\"Cell:CATCAGATCATCGCTC
Exp:0
split.by:All_cells\",\"Cell:CTTGGCTCATCCCACT
Exp:0
split.by:All_cells\",\"Cell:AGCATACGTCGCGAAA
Exp:0.675
split.by:All_cells\",\"Cell:CTTAACTGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:GTTTCTATCAACGGCC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAGTGACAAAT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCGTTATGTGC
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTAGGTGCTAG
Exp:0
split.by:All_cells\",\"Cell:GAATGAACAATCGAAA
Exp:0.772
split.by:All_cells\",\"Cell:CCTACACAGATCCGAG
Exp:0
split.by:All_cells\",\"Cell:GATGCTACAAGCGCTC
Exp:0
split.by:All_cells\",\"Cell:GTTACAGTCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGACCTTTG
Exp:4.507
split.by:All_cells\",\"Cell:GACTACACATATGAGA
Exp:0.488
split.by:All_cells\",\"Cell:TGTGGTAAGTGGTCCC
Exp:0
split.by:All_cells\",\"Cell:CGTTAGATCAGTCAGT
Exp:0
split.by:All_cells\",\"Cell:GTGCTTCTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:GATGAGGAGAAACCTA
Exp:0
split.by:All_cells\",\"Cell:GAAATGATCTTCAACT
Exp:0
split.by:All_cells\",\"Cell:GCTCCTAGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCATGCAAC
Exp:5.662
split.by:All_cells\",\"Cell:CGACCTTCACACAGAG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTACGCACC
Exp:4.934
split.by:All_cells\",\"Cell:GCACTCTTCCGGCACA
Exp:0
split.by:All_cells\",\"Cell:GTACTCCTCTCTTATG
Exp:5.585
split.by:All_cells\",\"Cell:CACATAGTCATTGCGA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACGTATGGTTC
Exp:1.378
split.by:All_cells\",\"Cell:CGTGAGCAGTCTCAAC
Exp:0.735
split.by:All_cells\",\"Cell:CCTTTCTTCTTCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACGTAGCGCAA
Exp:0
split.by:All_cells\",\"Cell:TTGGAACGTCCGTTAA
Exp:0
split.by:All_cells\",\"Cell:CATTATCAGCTCCCAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGTCCATAACCTG
Exp:6.191
split.by:All_cells\",\"Cell:GTGCAGCTCGTTTATC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACCTCAGCGTGAAC
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACCGTTA
Exp:0.683
split.by:All_cells\",\"Cell:CGATTGAAGTTAGCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:GGACGTCCAGTATCTG
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGTCGGAT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGGTCATCT
Exp:5.53
split.by:All_cells\",\"Cell:CAAGGCCTCGTACCGG
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:GCAAACTTCGGAATCT
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCACGGTGTC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGTCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCATCGGAT
Exp:0
split.by:All_cells\",\"Cell:TGGTTAGCAGTCGTGC
Exp:0
split.by:All_cells\",\"Cell:CTCTAATAGTTATCGC
Exp:0
split.by:All_cells\",\"Cell:AACTCTTAGCTGCGAA
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCACGAAGG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTGTAGTGAAT
Exp:0
split.by:All_cells\",\"Cell:GGGTTGCTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:ATCCGAACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:TTCTCAATCACTCCTG
Exp:0
split.by:All_cells\",\"Cell:ACTGATGTCCCTAACC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTGTCTAAACC
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGTCGACGGAA
Exp:1.197
split.by:All_cells\",\"Cell:AAATGCCAGACTAAGT
Exp:2.681
split.by:All_cells\",\"Cell:TACGGGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCATTTGCCC
Exp:1.03
split.by:All_cells\",\"Cell:CAGCTGGTCGCCGTGA
Exp:1.045
split.by:All_cells\",\"Cell:CACATAGAGGGAAACA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGCATCGTCGG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGCAGTACACT
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCTCAACCATG
Exp:4.036
split.by:All_cells\",\"Cell:GTGTTAGAGTTTCCTT
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTAGTACTTGC
Exp:0
split.by:All_cells\",\"Cell:CACATTTGTATAGTAG
Exp:0
split.by:All_cells\",\"Cell:GTGCATAAGAATGTTG
Exp:0.667
split.by:All_cells\",\"Cell:GGACATTAGAAACCAT
Exp:0
split.by:All_cells\",\"Cell:TCTCTAAGTGGCAAAC
Exp:0
split.by:All_cells\",\"Cell:ACGATACTCGCGCCAA
Exp:6.224
split.by:All_cells\",\"Cell:GAATAAGCACGAAATA
Exp:0.705
split.by:All_cells\",\"Cell:CATGACACATCCGCGA
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCAGGGTGTTG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTTCGGCGCAT
Exp:0.814
split.by:All_cells\",\"Cell:ACTGTCCGTGCGATAG
Exp:0
split.by:All_cells\",\"Cell:CGTTGGGGTTTAAGCC
Exp:0
split.by:All_cells\",\"Cell:AACTCAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTAGATCGATA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGTCACAATGC
Exp:1.062
split.by:All_cells\",\"Cell:GGGACCTGTCAGCTAT
Exp:4.437
split.by:All_cells\",\"Cell:ATGCGATAGAAACGAG
Exp:0
split.by:All_cells\",\"Cell:TATGCCCTCTTCCTTC
Exp:1.249
split.by:All_cells\",\"Cell:CCACCTATCGGAAACG
Exp:6.458
split.by:All_cells\",\"Cell:CGATGGCCAACTGGCC
Exp:0
split.by:All_cells\",\"Cell:CAGCCGAGTAGCCTAT
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTGGTGTAG
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCTCAAACG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCCAAGTAC
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCAGCAACGGT
Exp:1.062
split.by:All_cells\",\"Cell:CCTACACCATTATCTC
Exp:0.975
split.by:All_cells\",\"Cell:CTGAAACTCTGTTTGT
Exp:0
split.by:All_cells\",\"Cell:CCATGTCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CAGCCGAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGACGGCGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:ACTGATGCACATGACT
Exp:0
split.by:All_cells\",\"Cell:ATCATCTGTAGGACAC
Exp:0
split.by:All_cells\",\"Cell:ATCTGCCGTCATATGC
Exp:0
split.by:All_cells\",\"Cell:TACACGAAGATCCCAT
Exp:6.476
split.by:All_cells\",\"Cell:CATCCACGTTACGACT
Exp:0
split.by:All_cells\",\"Cell:AGATCTGCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCAATCCAAC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTCAATGAAAC
Exp:0
split.by:All_cells\",\"Cell:GTGCTTCTCACGACTA
Exp:0
split.by:All_cells\",\"Cell:GATCGTACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGAACAACT
Exp:1.071
split.by:All_cells\",\"Cell:CTACACCCATCAGTCA
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCATCAGTTCGA
Exp:0
split.by:All_cells\",\"Cell:ATAGACCAGTGATCGG
Exp:2.536
split.by:All_cells\",\"Cell:GACACGCAGTATGACA
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCCATGATCCA
Exp:0
split.by:All_cells\",\"Cell:CGTCTACTCAGTCCCT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTCACTACAGT
Exp:1.916
split.by:All_cells\",\"Cell:GATCAGTTCCCGGATG
Exp:0
split.by:All_cells\",\"Cell:GATCTAGGTGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGGTCAGATAA
Exp:0
split.by:All_cells\",\"Cell:CTCGTACGTTGGTTTG
Exp:2.205
split.by:All_cells\",\"Cell:TTGGCAATCGAACGGA
Exp:0
split.by:All_cells\",\"Cell:CATCGAAGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTCAACTGT
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTCAAAGTGCG
Exp:0
split.by:All_cells\",\"Cell:GAAGCAGGTCTAGAGG
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTGTGCGCTTG
Exp:0
split.by:All_cells\",\"Cell:ATTCTACGTTTAGGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAATGCACATTTCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCCTGCTTG
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGAGCCCAA
Exp:0
split.by:All_cells\",\"Cell:GTGCAGCGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACGTTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTTCATTCACT
Exp:0
split.by:All_cells\",\"Cell:GATGCTATCCCTCTTT
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCACGCCAGT
Exp:1.134
split.by:All_cells\",\"Cell:GTGCGGTTCTGATTCT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTCACGAGGTA
Exp:0
split.by:All_cells\",\"Cell:TCTATTGGTCTAGCCG
Exp:3.255
split.by:All_cells\",\"Cell:TCACGAACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:CGAACATTCACAAACC
Exp:0
split.by:All_cells\",\"Cell:TCTATTGTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGACACTAA
Exp:0.995
split.by:All_cells\",\"Cell:GCGAGAAGTGGGTATG
Exp:1.181
split.by:All_cells\",\"Cell:TTCTCAAAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGTCTGTTGAG
Exp:0
split.by:All_cells\",\"Cell:ACATACGAGCTATGCT
Exp:0
split.by:All_cells\",\"Cell:ACGATACAGTCATCCA
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTTCATGGT
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCACGAGAGT
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGAGGCACATG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATTCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAATCGCAAACT
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGCATACTCTT
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATATGGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGCGTGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCCGCGCAA
Exp:0.873
split.by:All_cells\",\"Cell:CCTTCCCCAAAGTGCG
Exp:0.81
split.by:All_cells\",\"Cell:GTAACTGAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:AGCATACCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:CATCAAGGTGGTCTCG
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTGTCTCGTTC
Exp:5.921
split.by:All_cells\",\"Cell:CTGATAGAGCTCAACT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCTCGTCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCTCCAACC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAACATGGTCTA
Exp:0
split.by:All_cells\",\"Cell:GTTCATTAGGGTCTCC
Exp:0
split.by:All_cells\",\"Cell:GCGACCATCACCAGGC
Exp:0.996
split.by:All_cells\",\"Cell:GTACTTTCATGGTCAT
Exp:0
split.by:All_cells\",\"Cell:TCAGCAAAGCGATGAC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGTCTGGTTCC
Exp:4.545
split.by:All_cells\",\"Cell:TAGACCATCTTATCTG
Exp:2.727
split.by:All_cells\",\"Cell:AGACGTTAGCCGATTT
Exp:6.203
split.by:All_cells\",\"Cell:GAACCTACAGCGATCC
Exp:4.692
split.by:All_cells\",\"Cell:CCAATCCAGAGTAAGG
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTACAGTTC
Exp:0
split.by:All_cells\",\"Cell:CAGGTGCGTACAAGTA
Exp:0
split.by:All_cells\",\"Cell:GCTCCTATCTCACATT
Exp:0
split.by:All_cells\",\"Cell:TATCAGGCACCAGTTA
Exp:0
split.by:All_cells\",\"Cell:TGCTACCCATAAGACA
Exp:0
split.by:All_cells\",\"Cell:GATTCAGAGTACGTTC
Exp:6.885
split.by:All_cells\",\"Cell:CGGACTGCATCCCATC
Exp:0
split.by:All_cells\",\"Cell:GCGCCAACACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:AGGTCATTCTGCGTAA
Exp:0
split.by:All_cells\",\"Cell:CTACCCAGTCAAACTC
Exp:0
split.by:All_cells\",\"Cell:TGGCCAGAGCTACCTA
Exp:0
split.by:All_cells\",\"Cell:TGTCCCACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGAGGAATTAC
Exp:0
split.by:All_cells\",\"Cell:TACAGTGAGCGTTTAC
Exp:0
split.by:All_cells\",\"Cell:CGATTGAAGTCTTGCA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCGTCACAAGG
Exp:0
split.by:All_cells\",\"Cell:GTCTCGTCACGTGAGA
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTCAGCATACT
Exp:0
split.by:All_cells\",\"Cell:GCTTGAACATTTGCTT
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTGTTAAAGAC
Exp:0.539
split.by:All_cells\",\"Cell:GCTCTGTTCGCTTAGA
Exp:0
split.by:All_cells\",\"Cell:GATCAGTAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:GTACTTTAGATATGCA
Exp:1.16
split.by:All_cells\",\"Cell:ATGTGTGTCAAAGACA
Exp:0.913
split.by:All_cells\",\"Cell:TCAGATGGTAGATTAG
Exp:0
split.by:All_cells\",\"Cell:TGTCCCAAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCTCAGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CTAAGACTCACTCCTG
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCTTAGAGC
Exp:0
split.by:All_cells\",\"Cell:CACACCTCATTGTGCA
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTAGCGTAG
Exp:0
split.by:All_cells\",\"Cell:ACTGAACAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGATGGGTC
Exp:4.965
split.by:All_cells\",\"Cell:GGAAAGCGTACGCACC
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATTTCAGG
Exp:6.664
split.by:All_cells\",\"Cell:CCCTCCTGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTGTGAATA
Exp:0
split.by:All_cells\",\"Cell:TCGGTAACAGGGTACA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTCACCGAATT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTAGGAGTC
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGACGCTTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCTTCAAG
Exp:0
split.by:All_cells\",\"Cell:ATAAGAGTCCACGTTC
Exp:0
split.by:All_cells\",\"Cell:GATCGTAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTAAACT
Exp:0
split.by:All_cells\",\"Cell:CACCACTGTCGGCTCA
Exp:0.459
split.by:All_cells\",\"Cell:ACGAGCCCACTCTGTC
Exp:0.961
split.by:All_cells\",\"Cell:GCATGTATCACGATGT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGATGGGTC
Exp:3.575
split.by:All_cells\",\"Cell:CGCGTTTGTATTACCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCAGGTGTTAA
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCAGAGGTG
Exp:0
split.by:All_cells\",\"Cell:TTCGAAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGGTGATGCCC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGTCCAGAGGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGACAGTAAGAT
Exp:0
split.by:All_cells\",\"Cell:CATCGAAGTAGCGTCC
Exp:0
split.by:All_cells\",\"Cell:TGGACGCTCTTGTTTG
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGGTCACCTAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAAACGCGA
Exp:6.355
split.by:All_cells\",\"Cell:CGTCACTGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:GCGACCACACGTTGGC
Exp:0
split.by:All_cells\",\"Cell:CCATGTCGTTTGCATG
Exp:0
split.by:All_cells\",\"Cell:TGCCAAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGGTAGCCA
Exp:6.37
split.by:All_cells\",\"Cell:ACAGCCGAGAGAACAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACTAGAGCTTCGCG
Exp:0.924
split.by:All_cells\",\"Cell:CGGACTGCAGCCAATT
Exp:0
split.by:All_cells\",\"Cell:GACCAATAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:GGACGTCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:AGGTCCGAGTTACCCA
Exp:0
split.by:All_cells\",\"Cell:GGAAAGCGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:CCGGGATGTACCGCTG
Exp:0.641
split.by:All_cells\",\"Cell:CATCCACAGTCACGCC
Exp:0.458
split.by:All_cells\",\"Cell:CGCTATCCAGGCAGTA
Exp:1.004
split.by:All_cells\",\"Cell:TCAGGTACACTGTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTTCTCGTATT
Exp:0
split.by:All_cells\",\"Cell:CGGACGTAGACAGACC
Exp:0
split.by:All_cells\",\"Cell:AGTTGGTTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTCCAGTAT
Exp:0
split.by:All_cells\",\"Cell:TATGCCCAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATGACATC
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGCACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:ACCCACTTCTGAGGGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCTCGTTGCCT
Exp:0.932
split.by:All_cells\",\"Cell:ACGATGTTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TGACAACTCGCACTCT
Exp:1.069
split.by:All_cells\",\"Cell:GACGCGTCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CATATGGTCAACACAC
Exp:0
split.by:All_cells\",\"Cell:AGTGGGAGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ATTGGTGTCCAGTATG
Exp:0
split.by:All_cells\",\"Cell:GATGCTAAGCGATAGC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:TTCTCAACAGTTTACG
Exp:0
split.by:All_cells\",\"Cell:TCACAAGAGCATGGCA
Exp:2.05
split.by:All_cells\",\"Cell:GGAATAACACGACGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAGATGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:AACTTTCGTGACCAAG
Exp:0
split.by:All_cells\",\"Cell:CGAGAAGCACTTACGA
Exp:0
split.by:All_cells\",\"Cell:AACTCCCAGTACGACG
Exp:0
split.by:All_cells\",\"Cell:CGTTAGAAGTATCTCG
Exp:0
split.by:All_cells\",\"Cell:CCTATTACAAACGTGG
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTAGATCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCATTCGCAAGCCATT
Exp:0
split.by:All_cells\",\"Cell:GTATCTTGTACTCAAC
Exp:6.376
split.by:All_cells\",\"Cell:TGCTACCCAGGGCATA
Exp:0.828
split.by:All_cells\",\"Cell:GGAACTTAGGTTACCT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACGTTCAGTAC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCATCACATAGC
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGAGGAATGGA
Exp:0.87
split.by:All_cells\",\"Cell:ATTATCCCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCAACTGCGC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCAAAGAATC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTAGTCTCGGC
Exp:0
split.by:All_cells\",\"Cell:TCTGGAAGTCATCGGC
Exp:0
split.by:All_cells\",\"Cell:AAATGCCCACCAACCG
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCGCTTGTC
Exp:5.968
split.by:All_cells\",\"Cell:GGTGTTACACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGCAAGTCTGT
Exp:1.2
split.by:All_cells\",\"Cell:CGGACTGTCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTCAAATTGCC
Exp:0.83
split.by:All_cells\",\"Cell:ATTGGTGGTACTTGAC
Exp:0.906
split.by:All_cells\",\"Cell:GCCTCTAAGAGTTGGC
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGGTAACGACG
Exp:0
split.by:All_cells\",\"Cell:AAAGATGAGTCATGCT
Exp:0
split.by:All_cells\",\"Cell:GTACTCCCACGTCTCT
Exp:0
split.by:All_cells\",\"Cell:TTGAACGAGGAATCGC
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCGATAGAA
Exp:0
split.by:All_cells\",\"Cell:CTCTAATTCAGCGACC
Exp:0
split.by:All_cells\",\"Cell:TATGCCCAGAACAATC
Exp:1.023
split.by:All_cells\",\"Cell:AACCATGGTTGAACTC
Exp:0
split.by:All_cells\",\"Cell:CAGCATAGTAATAGCA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTTCCTCAATT
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCTGGCGAC
Exp:0
split.by:All_cells\",\"Cell:ATCACGATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:GAGCAGAGTTTGCATG
Exp:1.136
split.by:All_cells\",\"Cell:TGCACCTAGATAGTCA
Exp:0
split.by:All_cells\",\"Cell:CAGCCGAAGTGACTCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCTGGTATG
Exp:0
split.by:All_cells\",\"Cell:AGCTCCTAGTACACCT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGCGATGAC
Exp:0.562
split.by:All_cells\",\"Cell:TCCACACTCACGATGT
Exp:0
split.by:All_cells\",\"Cell:TCAGATGCACGACGAA
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCAACACTG
Exp:0
split.by:All_cells\",\"Cell:CTTAGGACATCTATGG
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAAGTAGATGT
Exp:0
split.by:All_cells\",\"Cell:ATCTACTGTGAACCTT
Exp:0
split.by:All_cells\",\"Cell:CGATGTAGTGGTACAG
Exp:1.195
split.by:All_cells\",\"Cell:CTAGCCTGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTGAGTGT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTGACAT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCTCCATGAGT
Exp:0.668
split.by:All_cells\",\"Cell:CAGCTAAGTACCGAGA
Exp:0
split.by:All_cells\",\"Cell:ACTGAGTGTTTCGCTC
Exp:0
split.by:All_cells\",\"Cell:AGAGCGATCTCTTGAT
Exp:0.814
split.by:All_cells\",\"Cell:GAAGCAGTCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:GTCGTAAAGGTGATTA
Exp:0
split.by:All_cells\",\"Cell:CACACTCAGGCGCTCT
Exp:0.998
split.by:All_cells\",\"Cell:TGGGAAGGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CGCGGTACATTAGGCT
Exp:6.505
split.by:All_cells\",\"Cell:GAATGAAAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTGTTCGTCTC
Exp:0
split.by:All_cells\",\"Cell:CTGGTCTTCGTTACAG
Exp:0
split.by:All_cells\",\"Cell:TCTCTAAAGCTGGAAC
Exp:0
split.by:All_cells\",\"Cell:CGGTTAAAGTAGCGGT
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CCTTACGCAAGGTGTG
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCACGAAGCA
Exp:0
split.by:All_cells\",\"Cell:CAACCTCGTCTAAACC
Exp:1.01
split.by:All_cells\",\"Cell:AGCGGTCGTACCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTCGTCATCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGCAGTATAAG
Exp:6.843
split.by:All_cells\",\"Cell:GGCCGATGTCAAACTC
Exp:0
split.by:All_cells\",\"Cell:TTCTACAGTGTTGAGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGAGCGCCTTG
Exp:0
split.by:All_cells\",\"Cell:GATCGATCAGTCGATT
Exp:6.682
split.by:All_cells\",\"Cell:TTGGCAACATCATCCC
Exp:0
split.by:All_cells\",\"Cell:TTTATGCTCCATTCTA
Exp:0
split.by:All_cells\",\"Cell:AACTTTCAGGCATTGG
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCAGATGGCGT
Exp:0
split.by:All_cells\",\"Cell:TACGGTAGTGTGCCTG
Exp:1.584
split.by:All_cells\",\"Cell:ACTGCTCAGATATGCA
Exp:0.724
split.by:All_cells\",\"Cell:GGCGTGTTCGTGGGAA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCAGGAGTTGC
Exp:0
split.by:All_cells\",\"Cell:CTGAAACAGGAGTAGA
Exp:6.219
split.by:All_cells\",\"Cell:CATGGCGAGCCCTAAT
Exp:0
split.by:All_cells\",\"Cell:ACATGGTCAAGGACTG
Exp:1.064
split.by:All_cells\",\"Cell:GGCGTGTGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCTCTAGC
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCAAAGAATC
Exp:0.589
split.by:All_cells\",\"Cell:GCTCTGTAGCCACCTG
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCACAGGCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGTCATCGATG
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGGTGTGGT
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACACGGCCAT
Exp:0
split.by:All_cells\",\"Cell:CGTGTAATCCATGCTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGCATCAGTAC
Exp:0
split.by:All_cells\",\"Cell:GGGATGAAGGGCATGT
Exp:5.62
split.by:All_cells\",\"Cell:CTCGTACGTTCCGTCT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGACATGGTTGT
Exp:4.867
split.by:All_cells\",\"Cell:ATCTGCCGTCAGAAGC
Exp:6.057
split.by:All_cells\",\"Cell:CGTTCTGAGAGCAATT
Exp:1.002
split.by:All_cells\",\"Cell:CACACAACACACTGCG
Exp:0
split.by:All_cells\",\"Cell:TAGGCATTCGTTGCCT
Exp:0
split.by:All_cells\",\"Cell:TCTCTAATCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:ACACCCTGTCAGATAA
Exp:0
split.by:All_cells\",\"Cell:AGATCTGTCGATCCCT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTTCTCGCTTG
Exp:0
split.by:All_cells\",\"Cell:CTACGTCAGTCTCGGC
Exp:1.082
split.by:All_cells\",\"Cell:CATCCACTCTTCTGGC
Exp:0.649
split.by:All_cells\",\"Cell:TCTCATACAGATCTGT
Exp:0
split.by:All_cells\",\"Cell:CACACCTCACTGCCAG
Exp:7.095
split.by:All_cells\",\"Cell:CTCGTACCAATGGATA
Exp:0
split.by:All_cells\",\"Cell:ACACCAAAGTAGGCCA
Exp:0
split.by:All_cells\",\"Cell:TACACGAGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGTATTGGA
Exp:0
split.by:All_cells\",\"Cell:AGACGTTTCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTGTGAATA
Exp:5.09
split.by:All_cells\",\"Cell:GCACTCTGTCTGCAAT
Exp:0
split.by:All_cells\",\"Cell:TGTGGTACAAGACGTG
Exp:0.533
split.by:All_cells\",\"Cell:AGGCCGTCACGACGAA
Exp:1.333
split.by:All_cells\",\"Cell:TATGCCCTCTTACCTA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTCACGGACAA
Exp:0
split.by:All_cells\",\"Cell:GTCGGGTGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCGTAGGTT
Exp:0
split.by:All_cells\",\"Cell:CGTCTACGTTTCCACC
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCAGACATAAC
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGAGTGGAGAA
Exp:0
split.by:All_cells\",\"Cell:CTGATAGTCGGCTACG
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACGTCCATCCT
Exp:0
split.by:All_cells\",\"Cell:CATGACAGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:GACCAATAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:CAGCGACCATATGGTC
Exp:1.645
split.by:All_cells\",\"Cell:TGCTGCTGTCCGTCAG
Exp:0
split.by:All_cells\",\"Cell:TCAGATGCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:TATCAGGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:GGGAATGGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:TAGTTGGAGTCAAGCG
Exp:0
split.by:All_cells\",\"Cell:TACCTATTCGTTACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGAGGGAAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTTCCTTTCGG
Exp:0
split.by:All_cells\",\"Cell:TGATTTCAGTGGAGTC
Exp:0
split.by:All_cells\",\"Cell:CTAACTTAGATCACGG
Exp:1.27
split.by:All_cells\",\"Cell:CATCAGAGTCCGAATT
Exp:0
split.by:All_cells\",\"Cell:GAAATGATCGTCCGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCCACTCCA
Exp:4.442
split.by:All_cells\",\"Cell:GTTCGGGAGGCAATTA
Exp:1.14
split.by:All_cells\",\"Cell:GCGCCAATCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:AGTGGGATCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:CGACTTCGTTGATTCG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTAACGACG
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCTCTTCCTTC
Exp:5.553
split.by:All_cells\",\"Cell:ACTGATGGTTCCTCCA
Exp:6.877
split.by:All_cells\",\"Cell:AAGGAGCAGTACATGA
Exp:1.013
split.by:All_cells\",\"Cell:CAGCTAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:TACTTACGTGTGGCTC
Exp:1.085
split.by:All_cells\",\"Cell:ATGCGATTCGCGTAGC
Exp:2.827
split.by:All_cells\",\"Cell:ATTGGACAGTCAAGGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGTCCGCTGTT
Exp:0.886
split.by:All_cells\",\"Cell:TGCGGGTAGACGCACA
Exp:1.117
split.by:All_cells\",\"Cell:ATGAGGGGTTCTGGTA
Exp:0
split.by:All_cells\",\"Cell:CGACCTTAGCTGCCCA
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTGCCTGCA
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:GTATTCTAGGTGCTTT
Exp:0
split.by:All_cells\",\"Cell:TCTGGAATCGGTGTCG
Exp:0
split.by:All_cells\",\"Cell:GACGTTAAGACGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCGTAGAGGACGG
Exp:0
split.by:All_cells\",\"Cell:ATGAGGGCAAGGTTTC
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTCAAAGCAAT
Exp:0
split.by:All_cells\",\"Cell:CATCGGGTCATTTGGG
Exp:6.699
split.by:All_cells\",\"Cell:ACATACGGTAAACACA
Exp:0
split.by:All_cells\",\"Cell:CTGCTGTGTTATCACG
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTAGTGCCATT
Exp:0
split.by:All_cells\",\"Cell:CCACGGAGTCTCTTAT
Exp:0.859
split.by:All_cells\",\"Cell:CCATTCGCATGAAGTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCTGCTGCT
Exp:5.622
split.by:All_cells\",\"Cell:ACGATGTTCTGCTGCT
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTCACCATCCT
Exp:0.718
split.by:All_cells\",\"Cell:TAGTTGGGTACCGTAT
Exp:0
split.by:All_cells\",\"Cell:GCGCAACCAACACCTA
Exp:0
split.by:All_cells\",\"Cell:CCAGCGAGTACCGTAT
Exp:6.716
split.by:All_cells\",\"Cell:AGCGTATCATCTCCCA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCCTGTAGA
Exp:0.83
split.by:All_cells\",\"Cell:GGAAAGCTCTCGGACG
Exp:0.882
split.by:All_cells\",\"Cell:ACTGATGGTCCGACGT
Exp:0.875
split.by:All_cells\",\"Cell:GTAACGTCAGCCTATA
Exp:0.796
split.by:All_cells\",\"Cell:GGGAGATAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCTAACTCT
Exp:0
split.by:All_cells\",\"Cell:GAAATGACATCTACGA
Exp:6.084
split.by:All_cells\",\"Cell:GTGTGCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TCTCATAGTTACCAGT
Exp:0
split.by:All_cells\",\"Cell:ACGTCAACACGGTGTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:TGTATTCCAATGACCT
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTAGCTAGCCC
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGAGCTGGT
Exp:0
split.by:All_cells\",\"Cell:GGCAATTTCCGAATGT
Exp:0
split.by:All_cells\",\"Cell:GATCGTAGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATCAAGCCGCT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACAGTGG
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTAGCAGGCTA
Exp:0
split.by:All_cells\",\"Cell:CCACTACGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:GGAAAGCAGGCATGGT
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTAAAGTCA
Exp:0
split.by:All_cells\",\"Cell:TAAACCGAGTCGTACT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGTCATCGCTC
Exp:0
split.by:All_cells\",\"Cell:CACCACTCACGAAATA
Exp:5.749
split.by:All_cells\",\"Cell:CGTAGGCTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:TCGCGTTTCTCTGCTG
Exp:0
split.by:All_cells\",\"Cell:GGACAAGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGCCCAGCT
Exp:0
split.by:All_cells\",\"Cell:TCACGAATCCTATGTT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTGGCTCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCAAGGCTT
Exp:5.952
split.by:All_cells\",\"Cell:ATAACGCAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:ATTCTACTCAGGTAAA
Exp:0.583
split.by:All_cells\",\"Cell:CTGATCCCAAGCGTAG
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGGCGTG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAAGTCCGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGAATGAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CACAGGCTCAAGATCC
Exp:1.194
split.by:All_cells\",\"Cell:ACGAGCCAGTTCGCAT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTTCGCCATAA
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGAGTACCG
Exp:0.77
split.by:All_cells\",\"Cell:AGCCTAAAGCCCAACC
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGGTCTAGCCG
Exp:6.769
split.by:All_cells\",\"Cell:AGTGGGACAGTATCTG
Exp:1.13
split.by:All_cells\",\"Cell:CAACCAATCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:TGTCCCATCTTGACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCCATCAGTCGTGC
Exp:0
split.by:All_cells\",\"Cell:GTTTCTAGTCCTCTTG
Exp:6.64
split.by:All_cells\",\"Cell:GCACATACATTACGAC
Exp:0
split.by:All_cells\",\"Cell:ATGGGAGTCGGTTCGG
Exp:0
split.by:All_cells\",\"Cell:ATAAGAGTCCGAACGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCGAAGCTTCGCG
Exp:0
split.by:All_cells\"]],\"marker\":{\"color\":[0,0,0.5363020310526696,0,0.85834364228861726,0,0,0,0,0,0,0,0,6.5903626033599245,0,0.58446387423818602,1.7590506486611548,0,0,0,0,0,0,0,0,0,0,6.564934374183121,0,0.80200710120704033,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.4175396885494673,0,0,0,0,0,0,0,3.3967532335013595,0,0,0,0,0,0,0,0,0,0,0,0,0,6.8991565489331688,3.8451690674129457,0.65647703525238443,0,3.4155638737363416,0,4.6261537307613132,0,0,0,0,0,0,0,0,0,5.9302964645203806,0,0,0,0,0,1.1591511332137532,0.82687951762400669,5.4761565562199275,0,0,0,0,0,0,0,0.95827694717270762,0,0,1.0373840049978695,0,0,0,0,0,0,0,0.53518501380637074,0,0,0,0,0,1.2467245172980768,0,0,0,0,1.0749194334546583,0,0,0,0,0.82063452426202566,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.8548349081798684,0,0,0,0,0,0.81483887047503578,0,0,0,0.94136460767038332,1.1436247638853125,0.98062096740975691,0,0,0,0,0,0,0,0,3.4934910294112305,0,0,6.3493902040924324,1.0376193042571991,0,5.7304049494973901,0,0,0,0,0,0,0.78295617695079645,0,1.3060133215442207,0,0,5.9840763450355867,5.2535799183778007,6.4601729070144414,0,0,0.5837268208367854,0,0,0,2.5328555056735049,0,0,0,1.4195568938051566,0,0,0,0,5.2156782889269069,0.88428892518565527,0,0,0,0,0,0,3.0200920204050612,0,0,0,0,0,0,0,0,0,0.92370433720377143,0,4.7312609296734243,0,0,0,0,0.79923561626434947,6.5147257434876211,6.3336810287828538,0,0,0,0,4.9027611378301303,0.7341815725937807,0,0,3.1312158113369293,0.69125257960432929,0,0,0,0,0,0.94346749495911175,0,0,0,0,0,5.8248000986954613,0,0,0,0.88679929818830572,0,0,0,1.0154347821892018,0,1.021196356378167,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.3514100666239552,0,0,0,0,6.2974585760989035,0,0,0,1.1795037531371839,0,0,0,0,0,0,0,0,0,0,0,1.1110314547683469,0.89682254342058987,1.0112987368123583,4.9101988914654298,0,0,0,0,0,0,0,0,0,0,0.96728391600155406,0,0,0,7.0888980247935711,0,0,0,0,1.0067579806335121,6.8197016489724911,0,6.2966493064154143,0,0,0,0,0.56567158678748464,0.66581390378271954,1.3604971319995556,0,0,0.69859129119332231,0,3.924687790045895,0,0,0.68514437146020968,0,0,1.0292210133614934,0,0.84547345851286804,0,6.4295737666582902,5.8207011784012579,0,0,0,0,0,0,0,0,0.89118676060054414,0,0,0,0,6.8563255462241504,0,0,0,0,0,1.5067078235450475,0,0,0,0,0,0,0,0,0,0,0,0.71869108834985873,0,0,0,0.82818414286796316,0,0,1.5758999670759528,0,0,0,6.0482122354934358,0,0,0,0,0,0,0,0,0,0,0,0,0,1.0671014171101603,0,0,0,1.3991048451970876,0,2.3858016991754396,4.2929013571102566,0,0,0,1.1132229381855445,0,0,0,0,0,0,0.91062837134209607,0.7020136097655868,0,0,0,0,6.3678100615075408,0,0,5.6184393563308337,0,0,0,0,0,0.82478672839274314,0,0,0,0,1.168999547848254,0,0,0,0.92370433720377143,0,1.2174034355222048,0,0,0,0,0,0,0,0,0,0,0,0,0,2.5788459374359265,0,0,6.6461920896592028,0.96839728802492864,0,0,0.67543037334022604,0,0,0,0,0,0.77215033120619725,0,0,0,4.5067437904531449,0.48751140359713946,0,0,0,0,0,0,5.6618052659934532,0,4.9343037525497762,0,5.5854907926271133,0,1.3777678271018075,0.73480216138409227,0,0,0,0,6.1912936948781532,0,0,0,0.68319782990625766,0,0,0,0,5.5299741676354515,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.1969488872746223,2.6806024513767488,0,1.0297994513881439,1.0454499165973181,0,0,0,0,4.0355873293788012,0,0,0,0.66659673599991853,0,0,6.2238401140925692,0.70490094754299493,0,0,0.81420801591369352,0,0,0,0,1.0618755606385948,4.4365307988926697,0,1.2490255778238575,6.458020591740671,0,0,0,0,0,1.0618755606385948,0.97451917011161227,0,0,0,0,0,0,0,6.4756264664136056,0,0,0,0,0,0,0,1.0711209308034144,0,0,0,2.5359092042403728,0,0,0,1.9155080763143859,0,0,0,2.2045468558381995,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.1339555586720977,0,0,3.2548570198198963,0,0,0,0.99522042663314458,1.1807533782365882,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.87252761004996249,0.81009778463575344,0,0,0,5.9205381526780831,0,0,0,0,0,0,0.99608120092862174,0,0,4.5454094855943818,2.727491063596295,6.2032277169374881,4.6922637764068744,0,0,0,0,0,0,6.8848764241090921,0,0,0,0,0,0,0,0,0,0,0,0,0,0.53890723016245656,0,0,1.1603532983133578,0.91339057586416483,0,0,0,0,0,0,0,0,4.9652206087300472,0,6.6643607761354771,0,0,0,0,0,0,0,0,0,0,0.45931445208545546,0.96115942813540989,0,3.5749944358064694,0,0,0,0,0,0,0,0,0,0,0,0,6.3554493013451347,0,0,0,0,6.3697016093356584,0,0,0.92388750574622214,0,0,0,0,0,0.64113472037368935,0.45839310503017811,1.004449284717891,0,0,0,0,0,0,0,0,0,0.93221137493966544,0,1.0691070427582754,0,0,0,0,0,0,0,2.0498897179285755,0,0,0,0,0,0,0,0,0,6.37552690299853,0.82767627212309203,0,0,0,0,0.86969942374593545,0,0,0,0,0,0,5.967885683473872,0,1.1996965125997221,0,0,0,0.8303682120802004,0.90612271031731961,0,0,0,0,0,0,0,1.0232468372056946,0,0,0,0,0,1.1362481638269797,0,0,0,0,0.56204801505165158,0,0,0,0,0,0,0,1.1951784870591609,0,0,0,0.66765890488495805,0,0,0.81434811676958674,0,0,0.99824019858334512,0,6.5048682598537546,0,0,0,0,0,0,0,0,1.0104092531462008,0,0,6.8428101933549348,0,0,0,6.6816240575548456,0,0,0,0,0,1.5838568557105184,0.72385123217815561,0,0,6.2190663438761096,0,1.0642326957735531,0,0,0.58874828049028349,0,0,0,0,0,0,0,0,5.6203401128924284,0,4.8667161367147358,6.0571497793556928,1.0022611579964082,0,0,0,0,0,0,0,0,1.0819605337784988,0.64888638523880859,0,7.0951036125140918,0,0,0,0,0,5.0897596988905747,0,0.53252931374985135,1.3334410499327689,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.644583988156501,0,0,0,0,0,0,0,0,0,0,1.2704513066721319,0,0,4.4421113560248262,1.1399955888340181,0,0,0,0,0,5.5531134924235133,6.8771170924589251,1.0134180796289054,0,1.0848053632220065,2.8272101368331413,0,0.88554221779072417,1.1173577438413458,0,0,0,0,0,0,0,0,0,0,6.6988761845482045,0,0,0,0.85865700889428154,0,5.6216471186230397,0,0.71750702722247672,0,0,6.715856297406658,0,0,0,0.8295659746759394,0.88154492559337894,0.87488581690603262,0.79635051361125997,0,0,6.083725555507602,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5.7491631219723631,0,0,0,0,0,0,5.9517897777140476,0,0.58267719688624875,0,0,0,0,1.1938945904110732,0,0,0.76990205738238604,0,6.7692827770491482,1.1299679927546471,0,0,0,6.6402050989598456,0,0,0,0],\"colorbar\":{\"title\":{\"text\":\"Gcg\",\"font\":{\"color\":\"black\",\"size\":14}},\"len\":0.5},\"size\":1.5,\"showscale\":true}}],\"label\":\"Gcg\"},{\"method\":\"update\",\"args\":[{\"text\":[[\"Cell:CAGCCGAAGCGATATA
Exp:0
split.by:All_cells\",\"Cell:AGTGTCATCGCCGTGA
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGTTGTAGA
Exp:0
split.by:All_cells\",\"Cell:CACAGTACATCCGTGG
Exp:1.536
split.by:All_cells\",\"Cell:CGGAGCTCATTGGGCC
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTGTGTGACCC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:ACCGTAACAAGGTTCT
Exp:5.571
split.by:All_cells\",\"Cell:CCACTACAGGTGGGTT
Exp:3.324
split.by:All_cells\",\"Cell:TGCGTGGGTCCCTTGT
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTGTCTTCTCG
Exp:0
split.by:All_cells\",\"Cell:CCGTGGACACGAAGCA
Exp:0
split.by:All_cells\",\"Cell:GAACATCAGCAATATG
Exp:0
split.by:All_cells\",\"Cell:TTCTACACAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:ACGGCCACACGTGAGA
Exp:0
split.by:All_cells\",\"Cell:CTCGTACAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CGTCTACAGATGCGAC
Exp:0
split.by:All_cells\",\"Cell:CTCACACGTCACACGC
Exp:0
split.by:All_cells\",\"Cell:AAAGCAACACGGTAAG
Exp:0
split.by:All_cells\",\"Cell:CATCGGGCACGTTGGC
Exp:0
split.by:All_cells\",\"Cell:ATCATCTGTGTTTGTG
Exp:0
split.by:All_cells\",\"Cell:CAAGGCCCAAGAAAGG
Exp:5.327
split.by:All_cells\",\"Cell:AGATCTGGTTCGGCAC
Exp:0
split.by:All_cells\",\"Cell:CTCTGGTCAAGACACG
Exp:5.037
split.by:All_cells\",\"Cell:TACAGTGTCCCTAACC
Exp:0
split.by:All_cells\",\"Cell:GGACAGATCAGCATGT
Exp:0
split.by:All_cells\",\"Cell:CACTCCACATATGGTC
Exp:0
split.by:All_cells\",\"Cell:GTTCATTGTTCCAACA
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCCAATAGCAA
Exp:4.243
split.by:All_cells\",\"Cell:TACTCGCTCTTCGGTC
Exp:0.802
split.by:All_cells\",\"Cell:GCTGCTTTCCTCGCAT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTGTCTAGAGG
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:CGAGCACTCTAACTCT
Exp:0
split.by:All_cells\",\"Cell:GATCGTAAGTGCAAGC
Exp:1.661
split.by:All_cells\",\"Cell:TGTCCCAGTCTCGTTC
Exp:4.039
split.by:All_cells\",\"Cell:CTTGGCTCAGCCACCA
Exp:0
split.by:All_cells\",\"Cell:GGGTCTGGTAAACCTC
Exp:0
split.by:All_cells\",\"Cell:CGGACTGTCTTGAGAC
Exp:4.28
split.by:All_cells\",\"Cell:GGTGCGTTCTGGTATG
Exp:5.547
split.by:All_cells\",\"Cell:TACCTTATCCGATATG
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCTCTATCGCC
Exp:0
split.by:All_cells\",\"Cell:GTACGTACATCGATGT
Exp:0
split.by:All_cells\",\"Cell:TCGTAGATCTTTACGT
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGAGAGTGAGA
Exp:0
split.by:All_cells\",\"Cell:AGCGTATTCTGCTGTC
Exp:1.089
split.by:All_cells\",\"Cell:GGACAAGTCATAACCG
Exp:0
split.by:All_cells\",\"Cell:ACATCAGTCCTTGGTC
Exp:0
split.by:All_cells\",\"Cell:CCAGCGACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:GGACAGAAGTGGAGAA
Exp:0
split.by:All_cells\",\"Cell:GACTACAAGCGTGTCC
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTAGAGCTG
Exp:6.068
split.by:All_cells\",\"Cell:GTTCTCGCAAGTCTAC
Exp:0
split.by:All_cells\",\"Cell:CGAATGTTCTTCATGT
Exp:0
split.by:All_cells\",\"Cell:CCGTGGACATTCCTGC
Exp:5.446
split.by:All_cells\",\"Cell:CTAATGGAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:AGCGGTCGTCGAATCT
Exp:0.885
split.by:All_cells\",\"Cell:GTATTCTTCACTTACT
Exp:0
split.by:All_cells\",\"Cell:CAGTCCTAGGTGGGTT
Exp:0
split.by:All_cells\",\"Cell:CGACTTCCACAACGTT
Exp:0
split.by:All_cells\",\"Cell:AAACGGGTCCGCGCAA
Exp:0
split.by:All_cells\",\"Cell:CTAGTGACATTGAGCT
Exp:0
split.by:All_cells\",\"Cell:CTCCTAGAGAGTGACC
Exp:0
split.by:All_cells\",\"Cell:GCAGTTATCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:CGAACATCAAGCGAGT
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGCGAAGGG
Exp:2.598
split.by:All_cells\",\"Cell:CATCGGGAGGCCCTTG
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGCTGCAAG
Exp:0
split.by:All_cells\",\"Cell:CAGAATCCACGCATCG
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CGGACACTCTATCCTA
Exp:0
split.by:All_cells\",\"Cell:CGTGTAATCATTATCC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAAGTTAAGATG
Exp:1.317
split.by:All_cells\",\"Cell:ATTTCTGTCCCTGACT
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CAGATCACAACCGCCA
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGCATTCCTCG
Exp:0
split.by:All_cells\",\"Cell:CCACGGACAGATGAGC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAAGAAGATTC
Exp:0
split.by:All_cells\",\"Cell:CATGACACAAAGTCAA
Exp:1.077
split.by:All_cells\",\"Cell:AACGTTGTCAGTTAGC
Exp:0
split.by:All_cells\",\"Cell:CTGGTCTAGGTGATTA
Exp:0
split.by:All_cells\",\"Cell:TCAGGATTCCAGTAGT
Exp:0
split.by:All_cells\",\"Cell:CATTATCGTCATATCG
Exp:0
split.by:All_cells\",\"Cell:GCGCAACAGTGTACCT
Exp:0
split.by:All_cells\",\"Cell:GTGCATACAATAGCAA
Exp:0
split.by:All_cells\",\"Cell:TTTACTGGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:GTAGTCAGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:CCTACACGTTCTCATT
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCTCAACACGT
Exp:0
split.by:All_cells\",\"Cell:CTAACTTGTAGGAGTC
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:GTAGGCCGTTACCAGT
Exp:4.786
split.by:All_cells\",\"Cell:TCTCATATCAGAGCTT
Exp:2.146
split.by:All_cells\",\"Cell:GCTGGGTGTCATACTG
Exp:0
split.by:All_cells\",\"Cell:GGGAATGTCGACCAGC
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCAGGGTTTCT
Exp:0
split.by:All_cells\",\"Cell:CGGACTGAGGTAGCTG
Exp:0
split.by:All_cells\",\"Cell:CAACCTCTCTCTGTCG
Exp:0
split.by:All_cells\",\"Cell:CTGAAACGTTCCCTTG
Exp:0
split.by:All_cells\",\"Cell:GTAGTCAGTACTCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCACCTATCC
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTACCGTTA
Exp:0
split.by:All_cells\",\"Cell:TTCTACAAGATCGATA
Exp:0
split.by:All_cells\",\"Cell:TCACAAGCACCGAAAG
Exp:0
split.by:All_cells\",\"Cell:TCGGGACGTCATCGGC
Exp:0.871
split.by:All_cells\",\"Cell:ACGCCAGAGGAACTGC
Exp:0
split.by:All_cells\",\"Cell:CATATGGCATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:ATCATCTTCTGTCAAG
Exp:0
split.by:All_cells\",\"Cell:CCGTTCACAGTAGAGC
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:TTTGTCAGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:ATTATCCAGACCCACC
Exp:0
split.by:All_cells\",\"Cell:CACCACTCAATCTACG
Exp:0
split.by:All_cells\",\"Cell:GCGCGATGTCCGAATT
Exp:5.859
split.by:All_cells\",\"Cell:CATTATCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGCTAAGAT
Exp:0
split.by:All_cells\",\"Cell:GCGCGATTCGCGTAGC
Exp:0
split.by:All_cells\",\"Cell:CTACATTCACCGTTGG
Exp:0
split.by:All_cells\",\"Cell:TCATTTGCATTGGCGC
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCCAGGAATGC
Exp:0
split.by:All_cells\",\"Cell:GGGATGAGTCTGCGGT
Exp:1.133
split.by:All_cells\",\"Cell:TGCGCAGTCTGCCAGG
Exp:0
split.by:All_cells\",\"Cell:AGCGTATTCTCGTATT
Exp:0
split.by:All_cells\",\"Cell:GTCTCGTAGATCTGCT
Exp:4.38
split.by:All_cells\",\"Cell:CAGAATCGTGTAAGTA
Exp:0
split.by:All_cells\",\"Cell:TGACTTTAGGTCATCT
Exp:0
split.by:All_cells\",\"Cell:GTGCATATCAGAGACG
Exp:0
split.by:All_cells\",\"Cell:TGGCCAGCACGAAAGC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCACAATGTTGC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACGTCTGATCA
Exp:0
split.by:All_cells\",\"Cell:CAGCGACAGATCACGG
Exp:2.429
split.by:All_cells\",\"Cell:AAAGATGAGTGAACAT
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTGTCAGAGGT
Exp:0
split.by:All_cells\",\"Cell:ATTTCTGAGAAGATTC
Exp:0
split.by:All_cells\",\"Cell:CTCTAATTCACCATAG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTTCTTGTCAT
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:CCTAAAGTCATGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCACAGCTGTCTA
Exp:0
split.by:All_cells\",\"Cell:GAAATGACACATGACT
Exp:0
split.by:All_cells\",\"Cell:ACTGAGTAGGCTAGGT
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGAGCTGCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCACAGATCGGA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTTCTGGTGTA
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTCATACTCTT
Exp:1.202
split.by:All_cells\",\"Cell:ACTATCTGTCAGGACA
Exp:2.081
split.by:All_cells\",\"Cell:CTGAAACTCGATAGAA
Exp:0
split.by:All_cells\",\"Cell:GTTCTCGCAGCTGGCT
Exp:0
split.by:All_cells\",\"Cell:CATATGGAGGCCCGTT
Exp:0
split.by:All_cells\",\"Cell:ACTGAACAGCCTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGGTGCCT
Exp:0
split.by:All_cells\",\"Cell:CCCTCCTAGACCCACC
Exp:0
split.by:All_cells\",\"Cell:TTAACTCGTCCGAACC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCCATAAAGGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCAAACCAC
Exp:0
split.by:All_cells\",\"Cell:GTTCTCGGTTTGTGTG
Exp:0
split.by:All_cells\",\"Cell:ACATCAGTCCGTTGTC
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCCTTTCTC
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGCCAACAG
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGTAGGCCA
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCACGAGGTA
Exp:0.886
split.by:All_cells\",\"Cell:GGACAGAAGGCCGAAT
Exp:2.314
split.by:All_cells\",\"Cell:ACTGTCCCACGTAAGG
Exp:0
split.by:All_cells\",\"Cell:TCCACACCAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:CACACCTGTCGCTTTC
Exp:0
split.by:All_cells\",\"Cell:GGCTCGAGTCGCTTCT
Exp:0
split.by:All_cells\",\"Cell:TGGCTGGCAGTGAGTG
Exp:0
split.by:All_cells\",\"Cell:GATGAAACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:TTCTTAGTCGCAGGCT
Exp:0.975
split.by:All_cells\",\"Cell:TCCCGATGTAAGTGTA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCTGCTGTC
Exp:4.837
split.by:All_cells\",\"Cell:GATCGCGAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGTGGTAGC
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTAAGAGAG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAGTTCGCTAA
Exp:0
split.by:All_cells\",\"Cell:CCATTCGGTGCTAGCC
Exp:0
split.by:All_cells\",\"Cell:CCACTACTCTTTAGTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTGAAATCA
Exp:0
split.by:All_cells\",\"Cell:ACCGTAATCTATCCCG
Exp:0
split.by:All_cells\",\"Cell:ACTTACTCAATACGCT
Exp:0
split.by:All_cells\",\"Cell:GAACGGATCACAACGT
Exp:0
split.by:All_cells\",\"Cell:CGGTTAAGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:CAAGAAACACTAGTAC
Exp:0
split.by:All_cells\",\"Cell:AGTTGGTGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:CGTCCATGTCTAACGT
Exp:3.477
split.by:All_cells\",\"Cell:CAGCTAACAACACGCC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACCATACGCTA
Exp:3.69
split.by:All_cells\",\"Cell:CTCGTACCAGCCAGAA
Exp:0
split.by:All_cells\",\"Cell:ATTATCCGTATAAACG
Exp:0
split.by:All_cells\",\"Cell:GTACTTTTCAGTTCGA
Exp:0
split.by:All_cells\",\"Cell:AGTAGTCCACATGACT
Exp:0
split.by:All_cells\",\"Cell:AGTGAGGTCTGTTGAG
Exp:0
split.by:All_cells\",\"Cell:TCTCATAAGCAGATCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGATCAGGATCT
Exp:2.694
split.by:All_cells\",\"Cell:AGCAGCCCAAGTCATC
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTACTTCTT
Exp:4.918
split.by:All_cells\",\"Cell:GTCCTCAAGTTCGATC
Exp:0
split.by:All_cells\",\"Cell:GCCAAATGTAAACACA
Exp:0
split.by:All_cells\",\"Cell:ACTTACTGTTTGGGCC
Exp:0
split.by:All_cells\",\"Cell:ACTTACTCACCGTTGG
Exp:3.315
split.by:All_cells\",\"Cell:CAGAGAGAGGACCACA
Exp:0
split.by:All_cells\",\"Cell:AAGACCTGTGGCTCCA
Exp:0
split.by:All_cells\",\"Cell:AACTTTCCACAGTCGC
Exp:0
split.by:All_cells\",\"Cell:CAGATCATCTCGATGA
Exp:0
split.by:All_cells\",\"Cell:TGTTCCGGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:GCGCCAAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTTCGCACTCT
Exp:0
split.by:All_cells\",\"Cell:GTAACTGTCAGTGCAT
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:CGCCAAGTCTAAGCCA
Exp:1.731
split.by:All_cells\",\"Cell:ACTATCTTCATGTAGC
Exp:5.362
split.by:All_cells\",\"Cell:ATGCGATGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGACAGACC
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACAGTCACTA
Exp:0
split.by:All_cells\",\"Cell:TATCTCACATTGTGCA
Exp:2.982
split.by:All_cells\",\"Cell:CGTAGCGAGACTGTAA
Exp:0
split.by:All_cells\",\"Cell:ACGATGTGTCGCGGTT
Exp:0
split.by:All_cells\",\"Cell:CTCTGGTTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTAGTAAGTAC
Exp:0
split.by:All_cells\",\"Cell:CAGAATCCACAAGCCC
Exp:4.816
split.by:All_cells\",\"Cell:GTAACTGGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AACTTTCGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCAATCCGAT
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCAGTGTCCCG
Exp:4.8
split.by:All_cells\",\"Cell:TATTACCGTTGAGTTC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCATCAGAGCTT
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCGCCTGAG
Exp:0
split.by:All_cells\",\"Cell:TCGTACCCATATACGC
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCGTTGATTCG
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTCATTCGACA
Exp:0
split.by:All_cells\",\"Cell:GGTGTTACATGTTGAC
Exp:1.223
split.by:All_cells\",\"Cell:CCTCTGACATCGGTTA
Exp:0
split.by:All_cells\",\"Cell:CTCTACGCACTAAGTC
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGGTGAAGGCT
Exp:0
split.by:All_cells\",\"Cell:ACGTCAACAGACAAAT
Exp:0.771
split.by:All_cells\",\"Cell:TCGAGGCAGTTAACGA
Exp:0
split.by:All_cells\",\"Cell:CAAGTTGTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTACTTGAC
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTTCTTGAGGT
Exp:0
split.by:All_cells\",\"Cell:GCACATAAGCAATATG
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGTGACATA
Exp:0
split.by:All_cells\",\"Cell:TGTGGTACAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TAAGAGACAGTAGAGC
Exp:3.432
split.by:All_cells\",\"Cell:CACATTTTCGAGGTAG
Exp:4.712
split.by:All_cells\",\"Cell:AGACGTTCAATGGTCT
Exp:5.391
split.by:All_cells\",\"Cell:GGAACTTGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGATCTAGCACA
Exp:0
split.by:All_cells\",\"Cell:CGTAGCGTCACTATTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCACTGTGTA
Exp:0
split.by:All_cells\",\"Cell:TGCGCAGTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCGGAATCT
Exp:0
split.by:All_cells\",\"Cell:ACTGATGGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CAGTAACAGCCACCTG
Exp:4.41
split.by:All_cells\",\"Cell:ACTGATGAGTGCAAGC
Exp:0
split.by:All_cells\",\"Cell:CTGCTGTGTTGTGGCC
Exp:0
split.by:All_cells\",\"Cell:GAGTCCGCAATTGCTG
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTAGCGTAATA
Exp:0
split.by:All_cells\",\"Cell:GTCATTTGTCTCAACA
Exp:0
split.by:All_cells\",\"Cell:GACTAACCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:GGTGAAGAGCAGGTCA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGTCTGATACG
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTCACCGAATT
Exp:0
split.by:All_cells\",\"Cell:CAGGTGCAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAAGCTACCTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCGTGCAGACA
Exp:4.441
split.by:All_cells\",\"Cell:ATGTGTGAGTTTGCGT
Exp:0
split.by:All_cells\",\"Cell:TCTATTGCAGTAAGCG
Exp:0
split.by:All_cells\",\"Cell:TTGGCAATCGGATGGA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGAGTCATCCA
Exp:0
split.by:All_cells\",\"Cell:CACCACTTCAGCTTAG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAGTATCGCAT
Exp:1.461
split.by:All_cells\",\"Cell:ACGGGCTAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAGTGTATGGG
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:GATCGATAGAAAGTGG
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCCAGGGCT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGTCCTACAGA
Exp:0
split.by:All_cells\",\"Cell:AGGGATGTCGCATGGC
Exp:0
split.by:All_cells\",\"Cell:TGCCCTACAATCACAC
Exp:0
split.by:All_cells\",\"Cell:CCCATACTCGTGGACC
Exp:0
split.by:All_cells\",\"Cell:GACTAACCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:TCACAAGAGCCACTAT
Exp:0
split.by:All_cells\",\"Cell:GGCAATTTCACATGCA
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCAGGAATGGA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:GCATGTAAGAATCTCC
Exp:4.938
split.by:All_cells\",\"Cell:GTTACAGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:GTTCGGGAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGTCTGGAGCC
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCGTTTAGG
Exp:0.967
split.by:All_cells\",\"Cell:GCATGCGCAAATTGCC
Exp:0
split.by:All_cells\",\"Cell:TCAACGACACCATCCT
Exp:0
split.by:All_cells\",\"Cell:CCTCTGATCATGTCTT
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCTTGAGAC
Exp:3.788
split.by:All_cells\",\"Cell:CGTCCATCATGGTAGG
Exp:0
split.by:All_cells\",\"Cell:TTAGTTCCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCAACACGT
Exp:0
split.by:All_cells\",\"Cell:CAGCAGCAGAGGTACC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGGTTCTCATT
Exp:0
split.by:All_cells\",\"Cell:CTAGCCTGTGCGATAG
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGGTCTCCACT
Exp:0
split.by:All_cells\",\"Cell:GCATGATCATGCATGT
Exp:4.001
split.by:All_cells\",\"Cell:TACGGTATCCCATTTA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGAAGCTAGGCA
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTCGAGTTT
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTACGAAAT
Exp:0
split.by:All_cells\",\"Cell:GTATTCTTCAGGTAAA
Exp:0
split.by:All_cells\",\"Cell:TACCTATGTAACGTTC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGCAACGATGG
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTTCAGCACAT
Exp:0
split.by:All_cells\",\"Cell:TGCCAAACATGACATC
Exp:0
split.by:All_cells\",\"Cell:CTAAGACGTACTCTCC
Exp:5.215
split.by:All_cells\",\"Cell:CGATGGCTCAGTGTTG
Exp:0
split.by:All_cells\",\"Cell:CCAGCGACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:TGAGAGGAGCCAGGAT
Exp:0
split.by:All_cells\",\"Cell:AGAGCGACACAACTGT
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTTCCTTTCGG
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGTCCGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGATGATCTGTCCGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACATCCTAGA
Exp:0
split.by:All_cells\",\"Cell:GCACATATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:CATCCACCAGATGGGT
Exp:0
split.by:All_cells\",\"Cell:TGCCCTATCATAAAGG
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCACTTCC
Exp:0
split.by:All_cells\",\"Cell:GACAGAGCAGTCAGAG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTTCAGTCCCT
Exp:0
split.by:All_cells\",\"Cell:AATCGGTGTCACACGC
Exp:0
split.by:All_cells\",\"Cell:TACGGATAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGCAGCGATCC
Exp:1.317
split.by:All_cells\",\"Cell:CCACGGAGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTATTG
Exp:0.891
split.by:All_cells\",\"Cell:AGATTGCCACCAGGCT
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:CACCAGGGTACCTACA
Exp:0.862
split.by:All_cells\",\"Cell:GGCCGATTCAGAGACG
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCTAAGCCA
Exp:0
split.by:All_cells\",\"Cell:GACTGCGGTCGCCATG
Exp:0
split.by:All_cells\",\"Cell:GAATGAACAGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:CGCTGGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTAATGGCATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGATCAATCTCT
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTTCGTACGGC
Exp:0
split.by:All_cells\",\"Cell:TTCCCAGAGGATTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTCATCTCCCA
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTAGTGAATTG
Exp:1.068
split.by:All_cells\",\"Cell:TACCTATGTCCAACTA
Exp:0
split.by:All_cells\",\"Cell:TACTTGTAGACAAAGG
Exp:4.894
split.by:All_cells\",\"Cell:GTCCTCACACCACGTG
Exp:0.7
split.by:All_cells\",\"Cell:TAAACCGCATTCCTCG
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:TCAGCTCAGGCTATCT
Exp:0
split.by:All_cells\",\"Cell:CACAGTAGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGCACACATGT
Exp:0
split.by:All_cells\",\"Cell:ACGGCCACACGCTTTC
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCATTCCTGC
Exp:4.248
split.by:All_cells\",\"Cell:CTCAGAATCAGGTTCA
Exp:0
split.by:All_cells\",\"Cell:TGAGGGACAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:TACGGTATCTTTCCTC
Exp:0.828
split.by:All_cells\",\"Cell:GATCGCGAGCGTTGCC
Exp:0
split.by:All_cells\",\"Cell:CAGCGACCACAGGAGT
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGCTTGC
Exp:0
split.by:All_cells\",\"Cell:GTCACGGCATACTACG
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGTCCGAGCCA
Exp:0
split.by:All_cells\",\"Cell:GGACAGATCCTGCAGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTCCATCCT
Exp:0
split.by:All_cells\",\"Cell:AACTTTCCACTGCCAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTCATGCCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGAGTGCACCAC
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTGACTCAT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTGCGGCA
Exp:0
split.by:All_cells\",\"Cell:GGCGACTCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTAGCTGCCCA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCAAACAACA
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTACATCCA
Exp:0
split.by:All_cells\",\"Cell:CATGGCGAGAGTCTGG
Exp:0
split.by:All_cells\",\"Cell:CGTGTAATCGTTGACA
Exp:0
split.by:All_cells\",\"Cell:CGATCGGAGCTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGCACCTAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:GAACGGACAAGGTGTG
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGGGTGAAGGTGCAAC
Exp:0.988
split.by:All_cells\",\"Cell:CTACACCCAGGGCATA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCGTTATCCGA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCTCTTGCATT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTCCAGG
Exp:0
split.by:All_cells\",\"Cell:AAGTCTGGTCTCCATC
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTGTGTAAGTA
Exp:0
split.by:All_cells\",\"Cell:CGCTATCAGGTGATAT
Exp:5.141
split.by:All_cells\",\"Cell:AACTCTTAGCTAACAA
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGGTAGTACCT
Exp:3.402
split.by:All_cells\",\"Cell:GGGTCTGCAGCAGTTT
Exp:0
split.by:All_cells\",\"Cell:CGTAGGCCAACACCCG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACTCTACCTGC
Exp:0
split.by:All_cells\",\"Cell:CATCGAAAGATGTTAG
Exp:0
split.by:All_cells\",\"Cell:GCAATCACAGCTGCTG
Exp:0
split.by:All_cells\",\"Cell:AACACGTAGTAATCCC
Exp:0
split.by:All_cells\",\"Cell:GATCTAGCATCACCCT
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTTCGG
Exp:4.644
split.by:All_cells\",\"Cell:TGTGGTAGTTAGAACA
Exp:4.435
split.by:All_cells\",\"Cell:GAGCAGAAGCCAGTTT
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGGTAAGTAGT
Exp:0
split.by:All_cells\",\"Cell:GGACAGAGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGGATATAC
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTATAATGG
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTCATGCGCAC
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:GTACTCCGTAGCGATG
Exp:0
split.by:All_cells\",\"Cell:CTGTGCTCAGCTCCGA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCAAGAAGT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACACGGTAAG
Exp:0
split.by:All_cells\",\"Cell:CAACCAAAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAAGTGGTAAT
Exp:0
split.by:All_cells\",\"Cell:CGAATGTAGTTCCACA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGACAATCGGTT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCCAGTATG
Exp:0
split.by:All_cells\",\"Cell:TTCTTAGTCGGCGCTA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCTGACCTC
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTCCACTC
Exp:0
split.by:All_cells\",\"Cell:TAAACCGAGGATGGAA
Exp:0
split.by:All_cells\",\"Cell:CTTACCGCAAAGTCAA
Exp:0
split.by:All_cells\",\"Cell:CGGTTAATCGTCTGAA
Exp:0
split.by:All_cells\",\"Cell:CTCGTCATCGGTCTAA
Exp:0
split.by:All_cells\",\"Cell:GTTAAGCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAATCTGCA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGCGTCTAT
Exp:0
split.by:All_cells\",\"Cell:TGGACGCGTATTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCACGGAAGATCCTGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTTTAGGG
Exp:4.669
split.by:All_cells\",\"Cell:CAGTAACCATGCCTAA
Exp:0
split.by:All_cells\",\"Cell:AGTAGTCAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCCACCTTGTC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTGTATATCCG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACGCGTAGACGCACA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTGTGATAAGT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCACAAGCCC
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCGGCACA
Exp:2.888
split.by:All_cells\",\"Cell:TGCGTGGTCTTTACGT
Exp:3.415
split.by:All_cells\",\"Cell:CATCAGATCATCGCTC
Exp:1.072
split.by:All_cells\",\"Cell:CTTGGCTCATCCCACT
Exp:3.238
split.by:All_cells\",\"Cell:AGCATACGTCGCGAAA
Exp:0
split.by:All_cells\",\"Cell:CTTAACTGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:GTTTCTATCAACGGCC
Exp:4.992
split.by:All_cells\",\"Cell:GAGGTGAGTGACAAAT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCGTTATGTGC
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTAGGTGCTAG
Exp:0
split.by:All_cells\",\"Cell:GAATGAACAATCGAAA
Exp:0
split.by:All_cells\",\"Cell:CCTACACAGATCCGAG
Exp:0
split.by:All_cells\",\"Cell:GATGCTACAAGCGCTC
Exp:0
split.by:All_cells\",\"Cell:GTTACAGTCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGACCTTTG
Exp:0
split.by:All_cells\",\"Cell:GACTACACATATGAGA
Exp:0.488
split.by:All_cells\",\"Cell:TGTGGTAAGTGGTCCC
Exp:3.533
split.by:All_cells\",\"Cell:CGTTAGATCAGTCAGT
Exp:0
split.by:All_cells\",\"Cell:GTGCTTCTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:GATGAGGAGAAACCTA
Exp:2.592
split.by:All_cells\",\"Cell:GAAATGATCTTCAACT
Exp:1.885
split.by:All_cells\",\"Cell:GCTCCTAGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCATGCAAC
Exp:1.549
split.by:All_cells\",\"Cell:CGACCTTCACACAGAG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTACGCACC
Exp:3.699
split.by:All_cells\",\"Cell:GCACTCTTCCGGCACA
Exp:0
split.by:All_cells\",\"Cell:GTACTCCTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:CACATAGTCATTGCGA
Exp:5.201
split.by:All_cells\",\"Cell:CTGAAACGTATGGTTC
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCAGTCTCAAC
Exp:0
split.by:All_cells\",\"Cell:CCTTTCTTCTTCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACGTAGCGCAA
Exp:0
split.by:All_cells\",\"Cell:TTGGAACGTCCGTTAA
Exp:0
split.by:All_cells\",\"Cell:CATTATCAGCTCCCAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGTCCATAACCTG
Exp:0
split.by:All_cells\",\"Cell:GTGCAGCTCGTTTATC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACCTCAGCGTGAAC
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACCGTTA
Exp:0
split.by:All_cells\",\"Cell:CGATTGAAGTTAGCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:GGACGTCCAGTATCTG
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGTCGGAT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGGTCATCT
Exp:0
split.by:All_cells\",\"Cell:CAAGGCCTCGTACCGG
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:GCAAACTTCGGAATCT
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCACGGTGTC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGTCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCATCGGAT
Exp:0
split.by:All_cells\",\"Cell:TGGTTAGCAGTCGTGC
Exp:0
split.by:All_cells\",\"Cell:CTCTAATAGTTATCGC
Exp:0
split.by:All_cells\",\"Cell:AACTCTTAGCTGCGAA
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCACGAAGG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTGTAGTGAAT
Exp:0
split.by:All_cells\",\"Cell:GGGTTGCTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:ATCCGAACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:TTCTCAATCACTCCTG
Exp:0
split.by:All_cells\",\"Cell:ACTGATGTCCCTAACC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTGTCTAAACC
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGTCGACGGAA
Exp:0
split.by:All_cells\",\"Cell:AAATGCCAGACTAAGT
Exp:4.483
split.by:All_cells\",\"Cell:TACGGGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCATTTGCCC
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGTCGCCGTGA
Exp:2.126
split.by:All_cells\",\"Cell:CACATAGAGGGAAACA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGCATCGTCGG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGCAGTACACT
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCTCAACCATG
Exp:0
split.by:All_cells\",\"Cell:GTGTTAGAGTTTCCTT
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTAGTACTTGC
Exp:0
split.by:All_cells\",\"Cell:CACATTTGTATAGTAG
Exp:0
split.by:All_cells\",\"Cell:GTGCATAAGAATGTTG
Exp:0
split.by:All_cells\",\"Cell:GGACATTAGAAACCAT
Exp:0
split.by:All_cells\",\"Cell:TCTCTAAGTGGCAAAC
Exp:0
split.by:All_cells\",\"Cell:ACGATACTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGCACGAAATA
Exp:4.442
split.by:All_cells\",\"Cell:CATGACACATCCGCGA
Exp:0.906
split.by:All_cells\",\"Cell:ACGGGTCAGGGTGTTG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTTCGGCGCAT
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCGTGCGATAG
Exp:0.924
split.by:All_cells\",\"Cell:CGTTGGGGTTTAAGCC
Exp:0
split.by:All_cells\",\"Cell:AACTCAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTAGATCGATA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGTCACAATGC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:ATGCGATAGAAACGAG
Exp:1.127
split.by:All_cells\",\"Cell:TATGCCCTCTTCCTTC
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCGGAAACG
Exp:0
split.by:All_cells\",\"Cell:CGATGGCCAACTGGCC
Exp:5.24
split.by:All_cells\",\"Cell:CAGCCGAGTAGCCTAT
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTGGTGTAG
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCTCAAACG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCCAAGTAC
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCAGCAACGGT
Exp:0
split.by:All_cells\",\"Cell:CCTACACCATTATCTC
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCTGTTTGT
Exp:0
split.by:All_cells\",\"Cell:CCATGTCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CAGCCGAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGACGGCGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:ACTGATGCACATGACT
Exp:1.421
split.by:All_cells\",\"Cell:ATCATCTGTAGGACAC
Exp:0
split.by:All_cells\",\"Cell:ATCTGCCGTCATATGC
Exp:0
split.by:All_cells\",\"Cell:TACACGAAGATCCCAT
Exp:1.229
split.by:All_cells\",\"Cell:CATCCACGTTACGACT
Exp:4.371
split.by:All_cells\",\"Cell:AGATCTGCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCAATCCAAC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTCAATGAAAC
Exp:0
split.by:All_cells\",\"Cell:GTGCTTCTCACGACTA
Exp:4.473
split.by:All_cells\",\"Cell:GATCGTACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGAACAACT
Exp:0
split.by:All_cells\",\"Cell:CTACACCCATCAGTCA
Exp:5.257
split.by:All_cells\",\"Cell:AACACGTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCATCAGTTCGA
Exp:0
split.by:All_cells\",\"Cell:ATAGACCAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACACGCAGTATGACA
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCCATGATCCA
Exp:0
split.by:All_cells\",\"Cell:CGTCTACTCAGTCCCT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTCACTACAGT
Exp:4.17
split.by:All_cells\",\"Cell:GATCAGTTCCCGGATG
Exp:0
split.by:All_cells\",\"Cell:GATCTAGGTGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGGTCAGATAA
Exp:4.908
split.by:All_cells\",\"Cell:CTCGTACGTTGGTTTG
Exp:0
split.by:All_cells\",\"Cell:TTGGCAATCGAACGGA
Exp:0
split.by:All_cells\",\"Cell:CATCGAAGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTCAACTGT
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTCAAAGTGCG
Exp:0
split.by:All_cells\",\"Cell:GAAGCAGGTCTAGAGG
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTGTGCGCTTG
Exp:5.595
split.by:All_cells\",\"Cell:ATTCTACGTTTAGGAA
Exp:4.08
split.by:All_cells\",\"Cell:GGGAATGCACATTTCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCCTGCTTG
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGAGCCCAA
Exp:0
split.by:All_cells\",\"Cell:GTGCAGCGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACGTTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTTCATTCACT
Exp:0
split.by:All_cells\",\"Cell:GATGCTATCCCTCTTT
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCACGCCAGT
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTTCTGATTCT
Exp:0.961
split.by:All_cells\",\"Cell:GCTGGGTCACGAGGTA
Exp:0
split.by:All_cells\",\"Cell:TCTATTGGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:TCACGAACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:CGAACATTCACAAACC
Exp:0
split.by:All_cells\",\"Cell:TCTATTGTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGACACTAA
Exp:0
split.by:All_cells\",\"Cell:GCGAGAAGTGGGTATG
Exp:0
split.by:All_cells\",\"Cell:TTCTCAAAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGTCTGTTGAG
Exp:0
split.by:All_cells\",\"Cell:ACATACGAGCTATGCT
Exp:0
split.by:All_cells\",\"Cell:ACGATACAGTCATCCA
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTTCATGGT
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCACGAGAGT
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGAGGCACATG
Exp:2.147
split.by:All_cells\",\"Cell:TGAGCATTCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAATCGCAAACT
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGCATACTCTT
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATATGGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGCGTGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCCGCGCAA
Exp:0
split.by:All_cells\",\"Cell:CCTTCCCCAAAGTGCG
Exp:0.81
split.by:All_cells\",\"Cell:GTAACTGAGCCGGTAA
Exp:4.067
split.by:All_cells\",\"Cell:AGCATACCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:CATCAAGGTGGTCTCG
Exp:3.758
split.by:All_cells\",\"Cell:AGTCTTTGTCTCGTTC
Exp:0.874
split.by:All_cells\",\"Cell:CTGATAGAGCTCAACT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCTCGTCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCTCCAACC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAACATGGTCTA
Exp:2.754
split.by:All_cells\",\"Cell:GTTCATTAGGGTCTCC
Exp:0
split.by:All_cells\",\"Cell:GCGACCATCACCAGGC
Exp:0
split.by:All_cells\",\"Cell:GTACTTTCATGGTCAT
Exp:0
split.by:All_cells\",\"Cell:TCAGCAAAGCGATGAC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAGACCATCTTATCTG
Exp:0
split.by:All_cells\",\"Cell:AGACGTTAGCCGATTT
Exp:0
split.by:All_cells\",\"Cell:GAACCTACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:CCAATCCAGAGTAAGG
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTACAGTTC
Exp:4.659
split.by:All_cells\",\"Cell:CAGGTGCGTACAAGTA
Exp:0
split.by:All_cells\",\"Cell:GCTCCTATCTCACATT
Exp:0
split.by:All_cells\",\"Cell:TATCAGGCACCAGTTA
Exp:0
split.by:All_cells\",\"Cell:TGCTACCCATAAGACA
Exp:0
split.by:All_cells\",\"Cell:GATTCAGAGTACGTTC
Exp:0
split.by:All_cells\",\"Cell:CGGACTGCATCCCATC
Exp:0
split.by:All_cells\",\"Cell:GCGCCAACACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:AGGTCATTCTGCGTAA
Exp:0
split.by:All_cells\",\"Cell:CTACCCAGTCAAACTC
Exp:0
split.by:All_cells\",\"Cell:TGGCCAGAGCTACCTA
Exp:0
split.by:All_cells\",\"Cell:TGTCCCACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGAGGAATTAC
Exp:0
split.by:All_cells\",\"Cell:TACAGTGAGCGTTTAC
Exp:0
split.by:All_cells\",\"Cell:CGATTGAAGTCTTGCA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCGTCACAAGG
Exp:0
split.by:All_cells\",\"Cell:GTCTCGTCACGTGAGA
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTCAGCATACT
Exp:0
split.by:All_cells\",\"Cell:GCTTGAACATTTGCTT
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTTCGCTTAGA
Exp:0
split.by:All_cells\",\"Cell:GATCAGTAGGTTCCTA
Exp:0.81
split.by:All_cells\",\"Cell:GTACTTTAGATATGCA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGTCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:TCAGATGGTAGATTAG
Exp:5.933
split.by:All_cells\",\"Cell:TGTCCCAAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCTCAGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CTAAGACTCACTCCTG
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCTTAGAGC
Exp:0
split.by:All_cells\",\"Cell:CACACCTCATTGTGCA
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTAGCGTAG
Exp:0
split.by:All_cells\",\"Cell:ACTGAACAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGATGGGTC
Exp:0
split.by:All_cells\",\"Cell:GGAAAGCGTACGCACC
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CCCTCCTGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTGTGAATA
Exp:0
split.by:All_cells\",\"Cell:TCGGTAACAGGGTACA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTCACCGAATT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTAGGAGTC
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGACGCTTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCTTCAAG
Exp:0
split.by:All_cells\",\"Cell:ATAAGAGTCCACGTTC
Exp:0
split.by:All_cells\",\"Cell:GATCGTAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTAAACT
Exp:0
split.by:All_cells\",\"Cell:CACCACTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCCACTCTGTC
Exp:0
split.by:All_cells\",\"Cell:GCATGTATCACGATGT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGATGGGTC
Exp:0
split.by:All_cells\",\"Cell:CGCGTTTGTATTACCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCAGGTGTTAA
Exp:1.186
split.by:All_cells\",\"Cell:GCTGCAGCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCAGAGGTG
Exp:0
split.by:All_cells\",\"Cell:TTCGAAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGGTGATGCCC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGTCCAGAGGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGACAGTAAGAT
Exp:0
split.by:All_cells\",\"Cell:CATCGAAGTAGCGTCC
Exp:5.646
split.by:All_cells\",\"Cell:TGGACGCTCTTGTTTG
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGGTCACCTAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAAACGCGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:GCGACCACACGTTGGC
Exp:0
split.by:All_cells\",\"Cell:CCATGTCGTTTGCATG
Exp:0
split.by:All_cells\",\"Cell:TGCCAAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGGTAGCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGAGAACAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACTAGAGCTTCGCG
Exp:0
split.by:All_cells\",\"Cell:CGGACTGCAGCCAATT
Exp:5.499
split.by:All_cells\",\"Cell:GACCAATAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:GGACGTCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:AGGTCCGAGTTACCCA
Exp:0
split.by:All_cells\",\"Cell:GGAAAGCGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:CCGGGATGTACCGCTG
Exp:0
split.by:All_cells\",\"Cell:CATCCACAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:CGCTATCCAGGCAGTA
Exp:1.004
split.by:All_cells\",\"Cell:TCAGGTACACTGTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTTCTCGTATT
Exp:3.554
split.by:All_cells\",\"Cell:CGGACGTAGACAGACC
Exp:0
split.by:All_cells\",\"Cell:AGTTGGTTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTCCAGTAT
Exp:0
split.by:All_cells\",\"Cell:TATGCCCAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATGACATC
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGCACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:ACCCACTTCTGAGGGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCTCGTTGCCT
Exp:0.932
split.by:All_cells\",\"Cell:ACGATGTTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TGACAACTCGCACTCT
Exp:0
split.by:All_cells\",\"Cell:GACGCGTCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CATATGGTCAACACAC
Exp:0
split.by:All_cells\",\"Cell:AGTGGGAGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ATTGGTGTCCAGTATG
Exp:0
split.by:All_cells\",\"Cell:GATGCTAAGCGATAGC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:TTCTCAACAGTTTACG
Exp:0
split.by:All_cells\",\"Cell:TCACAAGAGCATGGCA
Exp:0
split.by:All_cells\",\"Cell:GGAATAACACGACGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAGATGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:AACTTTCGTGACCAAG
Exp:0
split.by:All_cells\",\"Cell:CGAGAAGCACTTACGA
Exp:0
split.by:All_cells\",\"Cell:AACTCCCAGTACGACG
Exp:3.394
split.by:All_cells\",\"Cell:CGTTAGAAGTATCTCG
Exp:0
split.by:All_cells\",\"Cell:CCTATTACAAACGTGG
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTAGATCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCATTCGCAAGCCATT
Exp:4.163
split.by:All_cells\",\"Cell:GTATCTTGTACTCAAC
Exp:0
split.by:All_cells\",\"Cell:TGCTACCCAGGGCATA
Exp:0.828
split.by:All_cells\",\"Cell:GGAACTTAGGTTACCT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACGTTCAGTAC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCATCACATAGC
Exp:3.255
split.by:All_cells\",\"Cell:CTTTGCGAGGAATGGA
Exp:0.87
split.by:All_cells\",\"Cell:ATTATCCCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCAACTGCGC
Exp:1.139
split.by:All_cells\",\"Cell:AAACGGGCAAAGAATC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTAGTCTCGGC
Exp:0
split.by:All_cells\",\"Cell:TCTGGAAGTCATCGGC
Exp:0
split.by:All_cells\",\"Cell:AAATGCCCACCAACCG
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCGCTTGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGTTACACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGCAAGTCTGT
Exp:0
split.by:All_cells\",\"Cell:CGGACTGTCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTCAAATTGCC
Exp:5.66
split.by:All_cells\",\"Cell:ATTGGTGGTACTTGAC
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGAGTTGGC
Exp:5.119
split.by:All_cells\",\"Cell:CGGCTAGGTAACGACG
Exp:2.746
split.by:All_cells\",\"Cell:AAAGATGAGTCATGCT
Exp:2.979
split.by:All_cells\",\"Cell:GTACTCCCACGTCTCT
Exp:0
split.by:All_cells\",\"Cell:TTGAACGAGGAATCGC
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCGATAGAA
Exp:0
split.by:All_cells\",\"Cell:CTCTAATTCAGCGACC
Exp:0
split.by:All_cells\",\"Cell:TATGCCCAGAACAATC
Exp:0
split.by:All_cells\",\"Cell:AACCATGGTTGAACTC
Exp:0
split.by:All_cells\",\"Cell:CAGCATAGTAATAGCA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTTCCTCAATT
Exp:1.787
split.by:All_cells\",\"Cell:CTCAGAATCTGGCGAC
Exp:0
split.by:All_cells\",\"Cell:ATCACGATCACGGTTA
Exp:1.115
split.by:All_cells\",\"Cell:GAGCAGAGTTTGCATG
Exp:0.722
split.by:All_cells\",\"Cell:TGCACCTAGATAGTCA
Exp:0
split.by:All_cells\",\"Cell:CAGCCGAAGTGACTCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCTGGTATG
Exp:0
split.by:All_cells\",\"Cell:AGCTCCTAGTACACCT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGCGATGAC
Exp:0
split.by:All_cells\",\"Cell:TCCACACTCACGATGT
Exp:2.056
split.by:All_cells\",\"Cell:TCAGATGCACGACGAA
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCAACACTG
Exp:0
split.by:All_cells\",\"Cell:CTTAGGACATCTATGG
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAAGTAGATGT
Exp:0
split.by:All_cells\",\"Cell:ATCTACTGTGAACCTT
Exp:0
split.by:All_cells\",\"Cell:CGATGTAGTGGTACAG
Exp:0
split.by:All_cells\",\"Cell:CTAGCCTGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTGAGTGT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTGACAT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCTCCATGAGT
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAGTACCGAGA
Exp:0
split.by:All_cells\",\"Cell:ACTGAGTGTTTCGCTC
Exp:0
split.by:All_cells\",\"Cell:AGAGCGATCTCTTGAT
Exp:0
split.by:All_cells\",\"Cell:GAAGCAGTCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:GTCGTAAAGGTGATTA
Exp:0
split.by:All_cells\",\"Cell:CACACTCAGGCGCTCT
Exp:0
split.by:All_cells\",\"Cell:TGGGAAGGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CGCGGTACATTAGGCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAAAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTGTTCGTCTC
Exp:4.89
split.by:All_cells\",\"Cell:CTGGTCTTCGTTACAG
Exp:0
split.by:All_cells\",\"Cell:TCTCTAAAGCTGGAAC
Exp:3.706
split.by:All_cells\",\"Cell:CGGTTAAAGTAGCGGT
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CCTTACGCAAGGTGTG
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCACGAAGCA
Exp:0
split.by:All_cells\",\"Cell:CAACCTCGTCTAAACC
Exp:0
split.by:All_cells\",\"Cell:AGCGGTCGTACCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTCGTCATCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:GGCCGATGTCAAACTC
Exp:0
split.by:All_cells\",\"Cell:TTCTACAGTGTTGAGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGAGCGCCTTG
Exp:4.696
split.by:All_cells\",\"Cell:GATCGATCAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TTGGCAACATCATCCC
Exp:0
split.by:All_cells\",\"Cell:TTTATGCTCCATTCTA
Exp:0
split.by:All_cells\",\"Cell:AACTTTCAGGCATTGG
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCAGATGGCGT
Exp:0
split.by:All_cells\",\"Cell:TACGGTAGTGTGCCTG
Exp:4.66
split.by:All_cells\",\"Cell:ACTGCTCAGATATGCA
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTTCGTGGGAA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCAGGAGTTGC
Exp:0.762
split.by:All_cells\",\"Cell:CTGAAACAGGAGTAGA
Exp:0
split.by:All_cells\",\"Cell:CATGGCGAGCCCTAAT
Exp:0
split.by:All_cells\",\"Cell:ACATGGTCAAGGACTG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCTCTAGC
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCAAAGAATC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTAGCCACCTG
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCACAGGCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGTCATCGATG
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGGTGTGGT
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACACGGCCAT
Exp:0
split.by:All_cells\",\"Cell:CGTGTAATCCATGCTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGCATCAGTAC
Exp:0
split.by:All_cells\",\"Cell:GGGATGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTCGTACGTTCCGTCT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGACATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ATCTGCCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGAGCAATT
Exp:0
split.by:All_cells\",\"Cell:CACACAACACACTGCG
Exp:0
split.by:All_cells\",\"Cell:TAGGCATTCGTTGCCT
Exp:3.856
split.by:All_cells\",\"Cell:TCTCTAATCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:ACACCCTGTCAGATAA
Exp:0
split.by:All_cells\",\"Cell:AGATCTGTCGATCCCT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTTCTCGCTTG
Exp:0
split.by:All_cells\",\"Cell:CTACGTCAGTCTCGGC
Exp:1.589
split.by:All_cells\",\"Cell:CATCCACTCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TCTCATACAGATCTGT
Exp:0
split.by:All_cells\",\"Cell:CACACCTCACTGCCAG
Exp:0
split.by:All_cells\",\"Cell:CTCGTACCAATGGATA
Exp:0
split.by:All_cells\",\"Cell:ACACCAAAGTAGGCCA
Exp:5.286
split.by:All_cells\",\"Cell:TACACGAGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGTATTGGA
Exp:0
split.by:All_cells\",\"Cell:AGACGTTTCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTGTGAATA
Exp:0
split.by:All_cells\",\"Cell:GCACTCTGTCTGCAAT
Exp:0
split.by:All_cells\",\"Cell:TGTGGTACAAGACGTG
Exp:0
split.by:All_cells\",\"Cell:AGGCCGTCACGACGAA
Exp:0
split.by:All_cells\",\"Cell:TATGCCCTCTTACCTA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTCACGGACAA
Exp:0
split.by:All_cells\",\"Cell:GTCGGGTGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCGTAGGTT
Exp:0
split.by:All_cells\",\"Cell:CGTCTACGTTTCCACC
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCAGACATAAC
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGAGTGGAGAA
Exp:0
split.by:All_cells\",\"Cell:CTGATAGTCGGCTACG
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACGTCCATCCT
Exp:0
split.by:All_cells\",\"Cell:CATGACAGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:GACCAATAGAATGTGT
Exp:5.89
split.by:All_cells\",\"Cell:CAGCGACCATATGGTC
Exp:0
split.by:All_cells\",\"Cell:TGCTGCTGTCCGTCAG
Exp:0
split.by:All_cells\",\"Cell:TCAGATGCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:TATCAGGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:GGGAATGGTCGGCTCA
Exp:0.847
split.by:All_cells\",\"Cell:TAGTTGGAGTCAAGCG
Exp:0
split.by:All_cells\",\"Cell:TACCTATTCGTTACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGAGGGAAGCCGGTAA
Exp:4.6
split.by:All_cells\",\"Cell:CGTGTCTTCCTTTCGG
Exp:0
split.by:All_cells\",\"Cell:TGATTTCAGTGGAGTC
Exp:2.114
split.by:All_cells\",\"Cell:CTAACTTAGATCACGG
Exp:4.027
split.by:All_cells\",\"Cell:CATCAGAGTCCGAATT
Exp:0
split.by:All_cells\",\"Cell:GAAATGATCGTCCGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCCACTCCA
Exp:0
split.by:All_cells\",\"Cell:GTTCGGGAGGCAATTA
Exp:0
split.by:All_cells\",\"Cell:GCGCCAATCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:AGTGGGATCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:CGACTTCGTTGATTCG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTAACGACG
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCTCTTCCTTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:AAGGAGCAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:TACTTACGTGTGGCTC
Exp:0
split.by:All_cells\",\"Cell:ATGCGATTCGCGTAGC
Exp:0
split.by:All_cells\",\"Cell:ATTGGACAGTCAAGGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGTCCGCTGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTAGACGCACA
Exp:0
split.by:All_cells\",\"Cell:ATGAGGGGTTCTGGTA
Exp:0
split.by:All_cells\",\"Cell:CGACCTTAGCTGCCCA
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTGCCTGCA
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:GTATTCTAGGTGCTTT
Exp:0
split.by:All_cells\",\"Cell:TCTGGAATCGGTGTCG
Exp:0.865
split.by:All_cells\",\"Cell:GACGTTAAGACGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCGTAGAGGACGG
Exp:0
split.by:All_cells\",\"Cell:ATGAGGGCAAGGTTTC
Exp:1.393
split.by:All_cells\",\"Cell:GTGCGGTCAAAGCAAT
Exp:0
split.by:All_cells\",\"Cell:CATCGGGTCATTTGGG
Exp:0
split.by:All_cells\",\"Cell:ACATACGGTAAACACA
Exp:3.755
split.by:All_cells\",\"Cell:CTGCTGTGTTATCACG
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTAGTGCCATT
Exp:0
split.by:All_cells\",\"Cell:CCACGGAGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:CCATTCGCATGAAGTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCTGCTGCT
Exp:0
split.by:All_cells\",\"Cell:ACGATGTTCTGCTGCT
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTCACCATCCT
Exp:0
split.by:All_cells\",\"Cell:TAGTTGGGTACCGTAT
Exp:0
split.by:All_cells\",\"Cell:GCGCAACCAACACCTA
Exp:0
split.by:All_cells\",\"Cell:CCAGCGAGTACCGTAT
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCATCTCCCA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCCTGTAGA
Exp:4.222
split.by:All_cells\",\"Cell:GGAAAGCTCTCGGACG
Exp:0.882
split.by:All_cells\",\"Cell:ACTGATGGTCCGACGT
Exp:2.609
split.by:All_cells\",\"Cell:GTAACGTCAGCCTATA
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCTAACTCT
Exp:0
split.by:All_cells\",\"Cell:GAAATGACATCTACGA
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TCTCATAGTTACCAGT
Exp:0
split.by:All_cells\",\"Cell:ACGTCAACACGGTGTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:TGTATTCCAATGACCT
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTAGCTAGCCC
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGAGCTGGT
Exp:0
split.by:All_cells\",\"Cell:GGCAATTTCCGAATGT
Exp:0
split.by:All_cells\",\"Cell:GATCGTAGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATCAAGCCGCT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACAGTGG
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTAGCAGGCTA
Exp:0
split.by:All_cells\",\"Cell:CCACTACGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:GGAAAGCAGGCATGGT
Exp:2.134
split.by:All_cells\",\"Cell:ACAGCTATCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTAAAGTCA
Exp:0
split.by:All_cells\",\"Cell:TAAACCGAGTCGTACT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGTCATCGCTC
Exp:1.379
split.by:All_cells\",\"Cell:CACCACTCACGAAATA
Exp:0
split.by:All_cells\",\"Cell:CGTAGGCTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:TCGCGTTTCTCTGCTG
Exp:0
split.by:All_cells\",\"Cell:GGACAAGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGCCCAGCT
Exp:4.636
split.by:All_cells\",\"Cell:TCACGAATCCTATGTT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTGGCTCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:ATAACGCAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:ATTCTACTCAGGTAAA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCCAAGCGTAG
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGGCGTG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAAGTCCGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGAATGAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CACAGGCTCAAGATCC
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCAGTTCGCAT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTTCGCCATAA
Exp:5.053
split.by:All_cells\",\"Cell:CCACTACAGAGTACCG
Exp:0
split.by:All_cells\",\"Cell:AGCCTAAAGCCCAACC
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:AGTGGGACAGTATCTG
Exp:0
split.by:All_cells\",\"Cell:CAACCAATCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:TGTCCCATCTTGACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCCATCAGTCGTGC
Exp:0
split.by:All_cells\",\"Cell:GTTTCTAGTCCTCTTG
Exp:0
split.by:All_cells\",\"Cell:GCACATACATTACGAC
Exp:0
split.by:All_cells\",\"Cell:ATGGGAGTCGGTTCGG
Exp:0
split.by:All_cells\",\"Cell:ATAAGAGTCCGAACGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCGAAGCTTCGCG
Exp:0
split.by:All_cells\"]],\"marker\":{\"color\":[0,0,0,1.5362160425541738,0,0,0,5.5706157164102397,3.3237231138372234,0,0,0,0,0,0,0,0,0,0,0,0,5.3273955225228651,0,5.0370833356091529,0,0,0,0,4.2425093561109177,0.80200710120704033,0,0,0,0,1.6614840703511167,4.0391464366184993,0,0,4.2803839652178173,5.5468336268387626,0,0,0,0,0,1.0893651950353123,0,0,0,0,0,6.0675024924872449,0,0,5.4462100244461036,0,0.88487332485069925,0,0,0,0,0,0,0,0,2.5978805966337788,0,0,0,0,0,0,1.3172087589836849,0,0,0,0,0,0,1.0773404439212901,0,0,0,0,0,0,0,0,0,0,0,0,4.7859228559567928,2.1462669097348366,0,0,0,0,0,0,0,0,0,0,0,0,0.87139399335249101,0,0,0,0,0,0,0,0,5.8594434518970839,0,0,0,0,0,0,1.1325278635241083,0,0,4.3802793700980809,0,0,0,0,0,0,2.4289191517530946,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.2019698691243415,2.0810181383101667,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.88554221779072417,2.3137671010041934,0,0,0,0,0,0,0,0.97451917011161227,0,0,4.8374827159606211,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.4767029389852522,0,3.6899927524034597,0,0,0,0,0,0,2.69381041292226,0,0,4.9178773085701888,0,0,0,3.3145340496006068,0,0,0,0,0,0,0,0,0,0,1.7314786206408816,5.3624080013128461,0,0,0,0,2.9824121025437287,0,0,0,0,4.8159712726231287,0,0,0,4.8002593935504692,0,0,0,0,0,0,1.2228726498646996,0,0,0,0.77071234804779842,0,0,0,0,0,0,0,0,3.4317129255881058,4.711882623951114,5.3914036246658759,0,0,0,0,0,0,0,0,0,0,4.4104957257756574,0,0,0,0,0,0,0,0,0,0,0,0,4.4408508407469123,0,0,0,0,0,1.4607213709641225,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4.9381414001969652,0,0,0,0,0,0.96728391600155406,0,0,0,0,3.7883450842995563,0,0,0,0,0,0,0,4.0014177709280521,0,0,0,0,0,0,0,0,0,5.2154109733973826,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.3166088100573385,0,0.89118676060054414,0,0,0.86243643188464469,0,0,0,0,0,0,0,0,0,0,1.0681032005687041,0,4.8940375095871449,0.69955826791683484,0,0,0,0,0,0,4.2478547388790355,0,0,0.82818414286796316,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.98775666908954429,0,0,0,0,0,0,5.1414792276172747,0,3.402358101438653,0,0,0,0,0,0,0,4.6438456417168599,4.4349325807050128,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4.668713006406235,0,0,0,0,0,0,0,0,0,2.887731214052208,3.4146715179707945,1.0716257002798599,3.2375767352952254,0,0,4.9916657325922191,0,0,0,0,0,0,0,0,0.48751140359713946,3.5332892259626312,0,0,2.5918455167934678,1.8851545646197883,0,1.5490310477050906,0,3.6993695749823896,0,0,5.200501182638237,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4.4831225473102121,0,0,2.1256942528895633,0,0,0,0,0,0,0,0,0,0,0,0,4.4419332421305056,0.90594698736209966,0,0,0.92416240436992314,0,0,0,0,0,1.1267155775167714,0,0,5.239912963286681,0,0,0,0,0,0,0,0,0,0,1.4206275307811234,0,0,1.2291666626698992,4.3710288804643405,0,0,0,0,4.4730292740178275,0,0,5.2568639809241038,0,0,0,0,0,0,4.1696725965911927,0,0,4.9075189371172359,0,0,0,0,0,0,5.59547019192369,4.0797567691775409,0,0,0,0,0,0,0,0,0,0.96115942813540989,0,0,0,0,0,0,0,0,0,0,0,0,0,2.1472680116979146,0,0,0,0,0,0,0,0,0.81009778463575344,4.0671586423550909,0,3.7576814507498453,0.8742339248069394,0,0,0,0,2.7544288180748042,0,0,0,0,0,0,0,0,0,4.6592073709247188,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.80995922114759833,0,0,5.93336674076098,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.1862553536754095,0,0,0,0,0,0,0,5.646377059528783,0,0,0,0,0,0,0,0,0,0,0,5.4989321665069459,0,0,0,0,0,0,1.004449284717891,0,3.5542359892136779,0,0,0,0,0,0,0,0.93221137493966544,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.3937355586180407,0,0,0,4.1626701325199793,0,0.82767627212309203,0,0,0,3.2554778671582296,0.86969942374593545,0,1.1388396265850198,0,0,0,0,0,0,0,0,0,0,5.6595173875240929,0,5.1191418529174957,2.7462669575844925,2.9788618806178295,0,0,0,0,0,0,0,1.7866389886176295,0,1.1145974570043014,0.72150604512001415,0,0,0,0,0,2.0564024743028635,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4.8897934954806912,0,3.7057989999725383,0,0,0,0,0,0,0,0,0,0,4.6962030225311144,0,0,0,0,0,0,4.6595670266182632,0,0,0.76159189407231864,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.8564319900282102,0,0,0,0,0,0,1.5894222723996558,0,0,0,0,5.2858846053025514,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5.89035424573885,0,0,0,0,0.84714550845394376,0,0,0,4.5998387122538062,0,2.1139238614565881,4.0270090517962149,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.86529425610003452,0,0,1.392817147937945,0,0,3.7549450754633713,0,0,0,0,0,0,0,0,0,0,0,0,0,4.2224566921527513,0.88154492559337894,2.6091438191175329,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.1336948960358049,0,0,0,1.3786557585383676,0,0,0,0,4.6360612843064981,0,0,0,0,0,0,0,0,0,0,0,5.0531043116587009,0,0,0,0,0,0,0,0,0,0,0,0],\"colorbar\":{\"title\":{\"text\":\"Ins2\",\"font\":{\"color\":\"black\",\"size\":14}},\"len\":0.5},\"size\":1.5,\"showscale\":true}}],\"label\":\"Ins2\"}]}],\"autosize\":false,\"hovermode\":\"closest\"},\"source\":\"A\",\"config\":{\"modeBarButtonsToAdd\":[\"hoverclosest\",\"hovercompare\"],\"showSendToCloud\":false},\"data\":[{\"x\":[-5.6886261636056004,3.4359456366263332,-5.3666280442513523,3.7621866530142727,-5.872935169342905,-6.1831148797310886,2.2261005705557766,2.4181076353751125,3.398643142577261,4.2351423567496242,3.9708577460013332,2.1073290175162258,2.9162017172537746,3.7651683157645168,-5.3833645516671238,-5.1829670602120457,3.8295599287711086,1.5391832655631006,-5.4914945298470554,3.8172012633048,2.793688661452383,2.0342673128806057,3.9640418356619778,2.4987086123190823,3.6219369238577785,0.99059940039739014,-5.4327911073006687,4.2884904211722317,2.9429088896475735,4.0921779936514797,-5.3985317879952488,-2.0335786277092991,4.3770376509390774,4.0545412367545071,4.1104151076041164,3.2023011511527004,0.38131273448094727,-5.9616588288582859,2.6003462141714992,2.5475879973135891,3.3667727774344387,-5.5798309975899754,3.030913478728384,3.847624904509634,4.0858694380484524,3.9018045729361477,4.1920338934622707,-2.6897437506951389,4.0187827414236965,-4.206093185547739,3.6923328703604641,2.1945270365439358,3.9449616736136379,3.8722015684805813,2.2298027342520657,-4.7807520562447605,-2.6104623013772068,4.3668023413382473,3.7688914602957668,3.2212067908011379,3.7928448981009426,-0.54905425846949218,4.0713917082510891,-5.9773162537850437,-5.0173948937691746,3.3210197752676907,3.708708888884634,4.2753692930899563,-5.7239893609322605,1.6613651579581201,4.114228851195425,-1.8538612061776221,3.6917172735892239,4.8378187483511867,-4.9453610116280613,-0.83209495336189865,3.3578559225760403,-5.2147434884347019,-5.35839688122645,4.3068496054373684,4.8751646345816555,4.1845375364981594,4.1118885344229641,4.1085463827811184,4.2631312674246731,-5.3330701524056492,4.57820618807897,2.0549773043356838,3.2613741224966946,-5.9224170380868015,3.6750012701712551,-5.5498193436898289,2.2872663801871242,3.8686019247733059,3.7571336096487942,0.098260707255452884,3.8851114577017727,-5.919978969696909,-5.3041442567147312,4.1570006674490871,3.8757530516348782,3.4961906737051907,-6.1821497613228855,2.6465786761008205,-5.32397305310145,-2.8081093961037693,1.0950797861777246,2.9624165362082424,-5.6242302590645847,-5.2006577187813816,4.4909569090567532,-5.503446930054575,-5.8125513726510105,-4.4374476605691013,4.3201953238211575,2.3921674555502834,4.0995417898856106,-5.3745692902840672,-6.37182461560145,3.8413716620169582,2.2736622160635891,-5.2250226670540867,3.4526020353995266,-5.3119543725289402,2.6745559042654934,3.217281944151968,-6.477021091584116,-5.1964877778328953,3.3088890379630032,-6.1476582223214207,-5.6930960351265965,3.70802796542272,3.3083731001578274,-5.8063710862435398,4.3496514624319973,3.6548677748404446,3.8021856611929836,-5.7689450913704929,2.4691897696219387,-5.2924097710885105,-5.8526018792428074,-5.672373645905405,-5.6623295480050144,4.1558662718497219,-4.8945668870247898,3.2827888792715969,-5.5241459542550144,4.3123055762015285,3.2845560377798977,-1.624504380825907,-5.9470547372139988,3.8091121977530422,-5.6904171639718113,3.6057592695914211,-4.3515030080117283,-5.7528332406319675,3.2486630743704739,4.1241923636160793,2.8195403879843655,4.6197644537650051,3.9772955244742336,3.7943307226859035,2.5913709467612209,3.9710031813345852,3.8011189764700832,3.296350604888052,4.3865267103873196,3.8908783262930813,3.3374468153677883,-4.4706221753396092,3.2570606535635891,3.8364697760306301,4.2860552138052883,2.4976972407065334,-6.2177075082100925,4.953642970915884,3.0680788820944729,-5.4631804162301121,-1.3357294732369482,4.1042176550589504,4.063956863280386,3.5586420363150539,4.2045790022574367,-5.9334925347603855,-5.5754865342415867,-2.4768989020623264,-5.7706888848580418,-1.037919633988291,4.0581241911612453,2.435252553816885,2.3759418791495266,2.7511712378226223,3.2716742819510403,-6.1108916932381687,2.4087811773978176,4.309628135558218,4.9434748953543606,4.0921040838919582,-5.7354863816536961,4.7850753134451809,1.5081285303793848,3.1360293692313137,-0.72175849691405891,3.5372740095816555,2.3448590105734768,3.9707208937369289,2.9682651823721828,0.64330697714909912,3.1923199957571926,3.8910366362296047,3.86671937167272,-3.0602270299233494,-5.4041060143746433,-5.8222106629647312,-5.4442418748177586,-1.4495434695519507,-5.7719706231392918,4.0788031882010403,2.8299533194266262,3.8279835051260891,2.2619544333182278,-4.2111350232399998,-6.4100536042489109,4.3074675863943996,4.2125812834464016,3.278535491820425,4.8723198240958157,3.7191401785574856,0.23066902815923096,4.1810804671011867,2.9881712263785305,2.3492690390311184,-5.6914991074837742,4.1613327330313625,2.7096418207846584,1.9107128447256982,4.1415544813834133,3.9326931303702297,-6.0249489480294285,-5.4014824563302097,4.0656186407767239,3.9642750090323391,0.70927036463841797,4.6895667380057278,4.2933746641837063,-5.2602528268136082,4.1233750647269192,2.7530199354849758,-5.8193434411324558,-6.1109894448556004,-1.0728792184628546,-5.458196514252573,3.6278320616446438,-5.9495462113656101,3.2712379759512844,2.9602612322531643,2.2454253500662746,-5.9845112496651707,-3.1521202260293064,3.6474958723746242,-6.0393150979317722,-5.7518080407418308,-5.7148393327035008,-2.0283108884133396,3.2670952147208157,-5.9730290108956394,-6.0209578210152683,2.3493365114890041,-5.3508690530098972,2.1166299647055569,-5.8466519051827488,-5.1293190652169285,4.5781961744986477,-5.8394626313485203,-6.0309356385506687,4.4323755568228664,-5.3975976640023289,3.7564607924185696,-5.6858676606453953,-5.7005304032601414,2.5634144610129299,4.5063401526175442,4.1718541449271145,4.540925628539175,-4.5778638058938084,-4.364221208695322,3.5970946615897121,2.1566151446066799,-6.0058206254281101,3.7745324438773098,3.1083837813101711,1.3716536825858057,-5.9610012704171238,3.0642060106955471,-5.7542136842049656,3.4612490004263821,3.6092368429861965,-5.5800021821297703,3.1013876265250149,-6.3277510339058933,2.3361758059225979,2.6442028349600735,3.6401864355765285,-5.8642514878548679,-6.03074156582728,4.1436320608817043,-5.7518442803658543,3.8260375326834621,1.272380716200918,-5.3374651604928074,-5.1970995599068699,3.797756797667593,3.2268775767050686,-5.1002482110299168,1.0198576515875757,0.31130755602940918,0.48062289416417481,4.2756167715750637,-5.9069336587227879,3.9822994536124172,2.7996984785757961,3.729941970702261,4.0360781019888821,4.5250836676321926,-5.6807621651925144,-5.7964295083321629,-6.2621782952584324,4.3417240446768703,3.8146392172537746,-2.3665174180306492,2.9567765063010158,3.9070087736807766,-5.3787101441659031,4.0860859221182766,-5.9691227608956394,3.6438437765799465,3.4250918692313137,-4.2681220704354343,3.875729209776968,-5.8648399049080906,-5.5565107995308933,3.5692497557364407,3.9789401358328762,-5.6811984711922703,4.2586289709769192,1.7590841120444238,3.5297552412711086,2.3529039686881008,-6.1315530473031101,3.7280699080191555,-5.3548949891366062,3.2782713240347805,-6.2212966614998875,3.5055633848868313,-5.4770072633065281,-0.9730303221978247,3.6990600889883938,3.7497507399283352,-5.3982642823494968,-5.8888567620553074,3.8859354323111477,3.5195432966910305,-3.8963805371560154,1.8053032225333154,1.4098991221152246,3.5934301680289211,2.5643507307730617,2.7622026270590725,3.8044158285818996,-5.9591859513558445,4.1719976729117336,3.64369691073522,-5.4930647546090183,-5.7994507485665379,-5.3392757111825047,3.3259717291556301,-5.4468868905343113,-6.3571780854500828,3.2842856711111965,2.3560041254721584,-5.2326768571175633,3.7973028486929836,3.8533784216605129,-6.110382907990366,-5.2379931145943699,4.0392576521597805,-5.8231190377511082,1.1200755900107324,4.1074754065237942,2.8175944155417385,4.5524135893546047,-5.6430138284005222,-0.59149248242750763,-3.3063419991768894,-0.87759719878807663,-0.5074914628304541,4.0615278547964992,4.4845186537466946,-6.1248058015145359,2.3313630884848537,-6.0432237321175633,4.2014442747794094,3.8849631613455715,-3.2771187955178318,4.2126609152518215,3.7082096403799953,4.0735517805777492,4.3654242819510403,1.9640537565909326,2.6016289061270657,3.8542548483572903,3.0065325564108791,4.0419470137320461,4.1198397940360012,-6.0586279565133152,-5.1990746194161472,4.7570358580313625,3.9814606970511379,-0.085499518517404782,2.8601588076315823,2.3237930601798,3.5537105864249172,4.019373065825552,3.6876221960745754,-5.7977875405587254,-5.6799820596016941,4.0421482390128078,-5.2353085213936863,4.1839581793509426,3.8697253531180325,-5.2171081239022312,3.1247845953665676,-5.2775639230050144,4.3466187781058254,4.229857570525259,-5.8318871194161472,-4.0895787411965427,3.4561802214346828,-0.86872646302357315,-5.2169026070870457,-5.7484263116158543,2.4695133036337795,-5.0677164727486668,-5.508423679474741,-5.7000273400582371,-2.384531849030405,1.4761222666464746,3.864562160369009,-3.9497762852944431,4.8315531080923977,3.0862537687979641,-5.9344409638680515,-3.4777868920601902,0.21113300978764893,4.840610629912466,4.8818041151724758,-6.0327304536141453,4.0719081228934231,2.6357158487997951,4.2293235129080715,3.840809947844595,3.3152538603506985,3.6268993681631985,3.0060921972952785,4.0086442297659817,-5.1835802727974949,2.4848958319388332,-6.2344092065133152,-5.5369199448861179,-6.3334220582284031,-6.2132896119393406,-5.066432827118784,-1.4480543667115271,3.3920031851492825,4.4146901434622707,-5.7791112595833836,3.1617196863852444,-3.8526743584908543,-5.9049895936287937,3.5681854551993313,3.6677147215567532,-5.6211966210640965,3.6967369383536282,4.1724149054251614,3.472437030669302,-4.7719811135567722,3.929534084197134,2.6585174864493313,2.4152344530783596,-5.0892194443978367,3.7046052283011379,3.3906790083609524,4.7917453116141262,2.8252738779745998,4.0964404410086575,3.8458415335379543,-6.1054814988411961,1.3883909052573145,2.5578230684958401,4.1579734152518215,3.1511603659354153,-5.3443311387337742,-3.804554575089365,3.9519139593802395,-5.7158354455269871,3.0774141615591946,3.7683998411856594,-5.7632640534676609,3.9628754919730129,-5.5107792550362644,3.9301687544547024,4.6595903700552883,4.1110025709830227,-5.9925340348519383,-4.9079335862435398,-6.0116313630379734,4.0381800001822414,-5.4791096383370457,4.6404048269949856,-5.9147142106331883,3.2200423544608059,4.5811253851614895,2.5719155138693752,-5.3072446519173679,3.4785252875052395,4.7884126967154446,4.8735128706656399,0.93153310477361084,-5.5963596040047703,1.4240881270132959,4.1605702704153957,4.401481277342886,4.4116336172781887,2.2761439150534573,-5.4898661309517918,-5.9866064721383152,0.052783197756856692,4.2244850462637844,3.0144556826315823,-5.5977681809701023,-6.0059684449471531,-5.1179498368538914,-5.9642866784371433,4.755299693938345,-5.2662986451424656,-5.939667575959116,2.5774887865744533,3.598171836730093,3.0617722338400783,-5.761318081025034,3.9120718306265774,2.3118149107657375,-0.94558409691229461,4.7828432387076321,-5.7654126817025242,0.027312404509633792,4.2756439512930813,1.9600929087363184,-1.161150538329035,2.0367411440573635,-5.0087841683663425,3.975620395537466,3.1880821055136623,2.7272015875540676,4.3192216223441067,3.8340650862418117,2.8559435671530666,3.5511461561881008,-1.1332349711693823,-5.4355901414193211,-3.4096795254983006,2.4791776007376614,4.6648203200064602,4.1341716116629543,2.2596844500266018,-2.2627447778023777,-5.6280082398690281,3.6935759848318996,0.045447177287191165,-4.5587662392891941,4.2700878447256985,3.568332797881216,0.053109652396291507,-5.3360952073372898,2.4490696257315578,4.8878732985220852,-5.5685132676400242,-6.0200279885567722,2.4781998461447658,-5.3996018105782566,3.8232137030325832,2.8570469683371487,3.0393348997794094,-5.3638433152474461,-4.6927961045540867,-5.9462650948800144,-6.0231627160347996,-5.7078756028451023,4.3533126181326809,3.3287721937857571,-5.3460568124093113,4.0853062933646145,3.2402073210440578,-6.1529258424080906,3.6316906279288235,3.9792114561758938,-5.3954003983773289,-5.3247002297677097,4.1878510779105129,3.7272607153616848,-1.2834967309273779,-4.200078838471323,4.2237268751822414,3.784641391631216,3.8982225722037258,-3.4720481568612156,3.3765975302420559,-5.1755126649178562,4.7304683989249172,4.2413960760794582,-5.0755652123726902,-5.8730138474740086,0.63916409670934082,-5.2855743104256687,-5.9280646973885593,-5.8428872758187351,3.1702209776602688,-1.5372922354973853,3.2740551298819485,3.9582825964652004,-5.8968070679940281,-5.4941357308663425,3.8447271650992336,-5.9965819054879246,3.6187459295950832,-5.6920345956124363,4.2110291784964504,-1.2227924102582037,-4.1958619290627537,3.6590329474173489,4.1788326567374172,3.7835108107291164,4.2851477926932278,-4.472365968827158,2.32739413439855,3.7456418341360989,-5.5271786385811863,-1.2761777573861182,2.6533113783560696,4.0993858641348782,3.3688551253043117,3.51955140292272,0.9623799389563501,-6.0224155122078953,-4.9960721665658054,-4.1175070935524998,3.8025161093436184,4.1205469435416164,-5.2678822213448582,-5.5907281571663914,-5.6040223771370945,3.7243415182791653,3.85278475939855,-5.5447462731637058,-5.2768815690316258,-1.0130716794766486,3.7916637724600735,-1.6983771258629858,2.3243960207663479,-5.9584807091988621,-5.6282089883126316,-0.42723717630282043,-5.5163015061654148,3.1376510924063625,-5.6191514664925633,-5.7415689164437351,4.206941253539175,-5.2534431153573093,3.9675642317496242,-6.0725492173470554,1.9586480921469629,4.1869531935416164,-6.2223313981331883,3.8577367132864895,3.9003025358878078,-5.4860662156380711,-5.8056019479073582,3.5305005377493801,-6.1973417931832371,-5.3344272309578953,-5.4571069413460789,3.975402004119009,3.6755405729971828,3.9099475210867825,4.2384554213248196,0.26568508803471924,-5.1797989541329441,3.2572733229361477,4.3663502997122707,-5.3959749871529636,-5.925296180848032,-5.6979926759041843,2.9078658884726467,3.1994730299673977,-5.936590068940073,4.2089210814200344,-6.0896280938424168,3.9946595495902004,0.054381198283284915,3.6767584150992336,3.7615333861075344,4.8140150374136867,-6.4130009347237644,-5.9415091210640965,2.0899595087729397,-5.3260720902718601,3.7020202940665188,-1.6567391091622412,-5.5412248307503758,-5.6700743371285496,-5.2964433366097508,-5.8124340707100925,-5.5755661660470066,2.9057635134421291,3.9530860251151028,1.3539816206656397,4.2713748282156887,3.7435547178946438,-5.8213099175728855,2.9427110022269192,4.6808501547537746,3.6478635138235989,4.4028011625967922,4.4463373488150539,-6.1728409463204441,-5.7990935975350437,-5.689214580658823,-5.6546972924508152,1.1747036045752466,-5.5775760346688328,-5.4664224320687351,4.2264033621512356,-5.6370757752694187,4.0269590681754055,-5.3465093308724461,3.6384803122244778,3.0052238768301907,-5.3552411729134617,-6.0912598305977879,3.7730208700858059,3.4275070494376125,3.6208459204398098,-5.9925941163338718,-5.4850720101632175,-5.6369341546334324,-4.8173636132515965,3.9032551115714016,-5.7200759583748875,2.9863430327139797,4.0981928175650539,3.4018317526541653,4.6671968764029446,3.8511496847830715,1.6804815596304834,3.8968588179312649,3.834314472075552,3.5979048079214992,4.4432860678397121,4.7364717787466946,-5.3801878625191746,2.2328699892722073,-5.7004131013192234,2.710779315825552,3.4951072996817532,3.1732744044028225,-5.6688474351204929,4.6734758681021633,3.1907359427176418,-2.8448234730996189,3.9047581022940578,4.7213956183157864,3.4439202612601223,3.2129169768057766,-5.8644889527596531,3.3282324141226711,3.5844150847159328,4.6877924269400539,-5.7232388192452488,-5.2029036217965183,-5.2021268540658054,-5.2785514527596531,3.6263157194815578,2.479031211730093,3.5073601072989407,-5.2538922959603367,-3.0699297124184666,-6.25950133145228,-0.72990534544363617,3.7311569517813625,-5.8988321954049168,-5.7185310059823093,-5.4856384927071629,-5.2154592210091648,1.5948706930838525,-5.2093313866890965,-5.3409093552865086,-6.0478628808297215,3.8831917113028469,-6.3964275056160984,3.9812675780020657,4.1653372114859524,2.3977209395132961,2.9845653837881985,4.4032703703604641,3.4935313528738918,2.7370964354239407,3.7417784994803371,-5.8190969163216648,4.1854006117545071,3.6822696989737453,-4.2920180493630467,-5.8522084885872898,3.5731941527090969,1.7521566218100488,-5.8279870682992039,2.7569011515341701,4.248017913695425,4.098847991820425,-5.4763725930489597,4.1806789702139797,4.0674892729483547,4.1557580298148098,2.5360230272971096,-5.1990946465767918,3.1759957140646877,3.3869148558340969,4.0969482725821438,3.3270999258719387,-6.1945279771126804,-5.7646449738778172,-5.7636789017952976,-5.1860245400704441,4.5106087988577785,4.19380677401647,1.4348169630728662,3.0483075445853176,1.3041571444235742,3.0737329786978664,-5.1791127854622898,1.1023757523261011,4.0267154043875637,-6.0973647767342625,3.6752859419547024,3.9452782934866848,1.7036799257956445,-5.7025231057442722,2.6535900896750393,0.59107614218816162,2.3053306406699123,3.3949061697684231,-4.742568605545908,-5.3095802003182468,4.11096347033605,3.2922116583548489,-5.3414553338326511,-5.8058999711312351,3.946593410369009,-5.8377684289254246,2.3679226702414455,2.9427760904990139,1.3651951616965234,-2.5972028905190525,4.2035375899039211,3.466514236327261,-5.7322076493538914,-2.0195505553521214,-5.7662848168648777,-5.9279640847481785,4.3577228850089016,4.2267390555106106,-5.7661789590157566,3.7150350874625149,-5.8282102280892429,4.1812874144278469,-3.0853332215584812,-5.0930021935738621,-4.6041163140572605,-5.9298237496651707,4.4462629622183742,-1.1161883407868445,2.9753459757529201,-1.4426591330803931,-5.3608812028206883,3.1076239412985744,-5.6868876153267918,-5.4807642632760105,-0.39783977806940674,3.6715747183524075,-6.0093773537911472,2.7764593428336086,-5.3116773301400242,4.1185156172476711,2.7369030779562893,-5.5967267686165867,4.0319467848502102,4.0021592444144192,4.0022865599356594,-5.8418825799264011,1.6526974505148828,1.1953849858008325,2.820102817412466,4.2609082525931301,4.1749731367789211,4.3862692183218899,4.3566633528433742,-2.4362351828850803,3.3300324743948879,4.012112266417593,-5.6537359887398777,-2.8257852727212009,3.0882600611411037,0.37636244952306153,-0.12059801161661743,-4.0914295846261082,-4.4639335805214939,-5.920357101563364,-5.0288318330086765,-5.9399326974190769,-6.493007534150034,3.1518148249350491,4.3253170317374172,3.7653600043021145,3.1259836024008694,-2.6130442553795872,3.4876762694083157,-5.858338230255991,-5.0883473092354832,3.8392578428946438,-3.0593122178353367,-6.0411423379220066,-5.8218725854195652,0.73053050696477295,3.9582296675406399,-3.4760218793191013,1.3216131991110742,3.2579966849051418,3.1491898363791408,-6.5008796387948093,3.4683419531546535,3.6988960570059719,4.2128936117850246,4.2010084456168117,3.8220959967337551,-5.3025659257210789,-4.2893997365273533,-6.0911062890328465,2.067372447844595,-5.4109014207161961,4.6016327208243313,4.5009285277090969,-4.0317429238595066,-5.2523106271065769,4.2790666884146633,-5.1373242074288425,3.7997213667593899,4.8305007284842434,3.3830891913138332,3.4761420553885403,0.63557816207036377,-5.7402013474740086,3.9067779844962063,4.2600380247794094,-5.9681919747628269,3.1113175219260158,3.7827926939688625,2.5168422526083889,-4.990298622254282,3.9831935232840481,4.1178962057791653,-5.845271938446909,-5.4591568642891941,-6.054481857422739,2.3576153582297268,3.7698017424307766,3.6942468947134914,3.8944641417227688,4.6226311987601223,2.5652514761649075,-5.1815284425057468,-5.5244868928231297,4.1578036612235012,4.2988306349478664,-5.4960130387581883,-5.8595412904061375,3.6086574858389797,4.1299988096915188,-2.9065550500191746,-6.0575002366341648,-5.3156188660897312,4.0152269667349758],\"y\":[-2.4239424188975245,4.5609880963917817,-1.3609242161158472,-1.4919820149783045,-1.060248257720843,-0.0031989534739405023,5.2746326009389009,-1.9571644981745631,-2.0396699627283961,0.50371637741290032,2.8119253198262304,5.4130541364308442,5.4319583455678071,-4.1813345869425689,0.82002225319109856,-3.361192556226626,-3.4751935919169337,6.2332655469533051,-1.9023222645167261,-1.1458798964861781,0.070623842870816578,-2.1729515512827784,-1.3012585361842066,-2.3668752630595118,4.1861511746998872,6.1666990796681489,-0.07431981166638435,-5.0962627848032866,-2.4883317669276148,-2.0352490862254053,0.68722930351458489,5.3556334058400239,0.84017362991534172,0.15182634988985955,-2.3230533321741968,-1.8098151405695826,6.3171145002003755,-1.5227970202807337,-1.9278317411784083,-2.0975117405299097,-1.8467319925669581,-0.24890917738713325,5.2868897000905122,2.8192738572712988,-2.0351397713068873,0.27459999719820916,0.21939983764849602,4.8468886891957368,-1.251596780622378,3.2370296994801611,4.0774675885792817,-2.157822104299441,-3.4739092310313135,-1.0692414363268763,-1.9240455349329859,2.4415027181264013,4.9130069295521821,1.6697985211964697,-3.5910936315897852,-1.6339909156206995,-0.10385725101269783,6.13976636329852,-0.1988587697390467,-0.72892709089256824,1.9006220380421728,-1.7581078728083521,-4.1603685339335357,-3.7919968088511378,-2.6646362264994532,6.2563449422474946,-1.8575770576838404,5.4354602376576509,-3.8577817400339991,-0.86170599063672126,-1.6714509447459132,6.1034232656117524,-1.7020700295809656,-3.5910142382029444,-0.90599982639588417,-3.278905244672671,0.34204461971484124,-2.493720861280337,-2.9189573248270899,2.5575565377827734,2.1375414411183447,-2.3076520880106837,0.85956921974383294,5.5023647824879731,0.1226136366482824,0.90666511455737053,-4.3640995939616118,0.78360476890765129,-2.229204030836001,-3.5964950044993311,-2.7376447637919337,5.8229342977162446,-1.4376525600794703,-0.0071892460230738031,1.0902816335316747,-3.723750682676211,-1.545060189569369,1.8917509595509618,0.10975864330492913,3.767842916643247,1.0953157226201147,4.7440544644948091,6.2671872655507173,5.0375486890431489,-1.4930325468424708,-1.6865774711016566,1.3132356683369726,-2.5282889326456934,0.2322489897366613,3.053478149568662,-3.6445847471598536,-2.0364881475809962,2.1979185620900243,0.4737764875050634,0.34391608635149895,3.1931356469746679,4.6984931508656587,-2.3206523378733546,-1.3709589560870081,-3.3848780115488917,0.10801014105044304,-1.8686189373377711,-0.27822473844327034,1.7524751702900976,-2.2824387272242457,0.040917066728696216,-1.8718527277354151,3.5393640081044286,-2.5310460050944239,-0.79395885964669288,-3.6142457445506007,1.3428472558613866,2.1670099774952978,-1.0547011216524989,0.053220657503232349,-2.5049843510035426,-0.078191729390993725,0.58263471523486077,-0.33809483250416816,-3.0026050527933985,2.1802228967305273,4.2852317372914399,0.075537113344296802,-0.45325485070981086,-2.1088388880137354,5.6170193235035981,-0.0042112191561609613,3.6995402852650732,1.3101433793660253,3.7294951955433935,3.2245275060292333,-2.5156374891642481,0.19655898014269768,2.7750836888905615,3.9751702825184911,-1.3423747738245875,-0.79763170530833305,-3.783922048414126,5.7760783712025727,0.4742647687550634,-3.9147642572764307,-1.4897038062456995,0.72149756351672112,-4.6768530329111968,3.9998981038685888,2.9275032559987157,3.9596087018605322,-1.4805615266207606,-2.3055076321009547,5.709130434190854,-0.66058179190196098,-0.68876549241878093,-2.0615666826609522,-1.4961245973948389,5.8569709340687837,-5.3729494531992827,-4.7047046144846831,-4.5010617693308745,-3.0754037817362696,-2.2853716333750635,-2.3944978435877711,5.0284039060231294,-0.52450566192902626,5.862429765855893,-3.6829043348673731,5.7198440114613618,5.8193899671193208,5.4614092389699067,-1.839825483167544,-0.37305695017613472,-2.2612950523737818,-1.7410278042200953,-0.47179021140374244,-2.8548248728159815,0.93267014423571526,-0.28739908536709846,6.1978861371632661,-2.2965886314753443,6.0330149213429536,-1.8899432142619044,-1.9679584225062281,-4.8555706461314116,3.2717842141743749,6.2791606465931977,-2.1638055761698634,-1.2251872738245875,-1.6241277178172022,4.5317422429677094,-2.5921070297602564,-1.6452137549761683,-2.5512525757197291,5.8063866178151216,-2.8423815687540919,-4.3189624269846831,5.2906090299244966,-1.2093105038050562,-2.2468459328059107,3.2060834447499365,-0.22580784758366645,-5.0903199633006011,-4.9740699251536284,-1.5329989512804896,0.3640733043309301,-1.9681979139689356,6.0053149739857759,-4.7634843309763824,-2.3324273546580225,4.7507134954091157,-2.1058399399165064,-3.3286565264109522,-2.1642199476603419,6.1403819600697602,-3.1477533300761134,-2.4249170740488917,0.032660750543698658,-1.5147729237917811,-1.7047620733622462,-1.7407974918726832,5.9290868322011079,0.73337867656908928,2.081605819856748,-2.7303775270823389,-3.3545483072642237,3.7827760259266943,-2.4628283699396998,-0.18605199655331672,5.7512680570241059,-0.62760734757222236,-2.2259094437006861,0.66038360992632805,-1.7920636852625758,-1.9738279302958399,-1.9679617603663355,-0.75979690825380386,4.4477821866627778,3.7065235654469579,-0.47790557345189155,0.37111750045977532,-1.2477879842165858,5.3866788426991548,4.6404534856434907,-2.0194360931757838,0.24557277361117302,-2.1719521005991846,-2.534595580900088,6.0664698163624848,-0.97541529139317573,-2.9255004843119532,1.4162239114399999,1.2918585816975683,-1.7989293058756739,1.5153717080708593,-2.089099975431338,-5.2532542665842925,-0.6945296322349459,-0.55396698614396156,-2.0415210445765406,1.6229487935658544,-0.38922444185055793,-1.5070934613589198,2.724437622224912,3.1053611318226904,0.36135938564501702,5.0215751210805024,1.0733109990712255,-1.1420734246615321,4.5590206662770356,5.6490041295643891,0.79236331382952629,5.1439806501027192,0.90493681827746331,3.5825807134266943,-3.3516133745554835,0.96703484455309807,0.013699082529172291,0.43656936088763176,0.18593749204836785,-2.287687393033877,-1.1840383132342249,-1.854727359617129,-1.2767833789233118,0.62264111438952385,-2.3413816412333399,-1.5632042010668665,5.9288293401356782,-2.3667430599574,-2.6569406708125025,-4.9233997782114898,-2.4469978531245142,-3.4312649687174708,6.3557030240651216,6.2044831792470063,6.2774120847340669,-4.958230348432437,0.73083033958636223,-4.9192923029307281,-2.1936223228815943,-1.0237523933295161,-1.9902027567271143,1.2441510240193456,-2.3397497852686793,-2.555000158155337,-0.081854196393862377,-3.352185102308169,-1.7697127779368311,5.1079546491261567,-1.8375985344294459,-3.7284103353861719,-2.6187299211863428,-2.6839514692667872,-2.3111585100535303,-1.5935382564906031,-1.7216208895090968,3.1498731652852148,-2.1834809502009302,-0.81959226926602424,0.29429247776232659,-4.2564638574961577,-4.0790687521342193,-2.2445436437968165,0.86365702549181878,6.2456165830250825,3.1487597505208105,5.6828376332875337,-0.31161385973729194,-3.3768814524058253,-2.1371415575388819,-2.4847284277323634,-0.63256122370995582,4.585175184404477,-0.86869067152775825,5.7339288274403657,-4.7821448763255034,-1.6008018573168665,-1.3599250038508326,-0.89102895756997169,2.0458225289937109,-3.0228110273722559,3.6446587125416845,6.1587616483326997,6.3113709966298188,-0.93845525583066047,0.27336951891146599,-2.2699178179148585,-0.8309136574510485,-0.5421614368800074,1.9949585477467626,-1.3848834355715662,-1.2548774202708155,-0.303394796455279,-1.8503794391993433,-1.6082303841952235,1.0362267772313207,-0.25962552627362312,-2.2054419239405543,0.15909203687869011,-2.3545452078226954,-3.8162888010386378,-1.7407530268076807,0.15898248354159294,-2.9843977411631495,-4.7334559877756988,0.4603710452672094,6.5101992169972505,-0.99471473892964424,5.3173429051991548,0.010975567495450367,1.3160141984578222,6.0811940709706391,4.2911726514454926,5.8067003766652192,6.1516915837880219,-3.8477219065073878,-0.56223127445019783,-0.60679900100268425,0.26178195873461663,0.77471056381426751,0.02344634929858147,-2.0636211355570704,4.3087302724476899,2.5385943929310888,-3.7607172449473292,-2.8300114591959864,1.6987279931660741,6.1059791127797212,-2.367948623502627,-1.3026901801470667,-1.582632096612826,-2.562305541837588,-3.0956462343577296,-0.49307361444272102,-2.3902754505518824,0.096637038385495533,-1.002995671832934,6.155241159593686,-2.3592964132670313,-2.2031477411631495,0.19480547109805046,-1.5894029458407313,-3.7234464605692774,-0.57716794511117042,1.0069606582280248,-5.3106635530833159,-2.7188754995707423,-0.67533974921144546,-1.5247779806498438,-3.3243452032450587,3.8057982007618993,1.7180282155629247,1.8951307813283056,0.38730898300372063,0.4815432111378759,3.4106136838551611,3.9369875470753759,5.7471791783925141,-1.6154571493510157,-2.5282175262812525,5.5046383420582856,-2.2374744137171656,-0.74580705364979805,0.63541057506762444,5.0971418897267426,6.0172392408009614,-1.1334699412230402,3.5790030042286962,-0.63466766675747932,-1.9919628818873316,-1.4715509136561304,4.1195961515065278,6.0665365735646333,-0.15717074474133552,-0.83351120551861824,-0.041548641527071606,-3.4789639433268458,0.08589747348986565,2.8287989179249853,-4.2947400530222808,-1.6391935070399195,0.73227992454729973,-1.9409398754481226,-1.9238525350932032,-3.2999371012095362,-2.4444392641428858,0.584676412736997,-0.47898596724309028,-0.063820513093844067,-0.85163870652951301,1.7567495385762304,5.9222551862355317,-1.4317240436915308,-4.290679307783023,-1.6689185818079859,-1.9907366951350123,3.6644283811207861,-1.208278807008639,-3.2294615229014307,-3.53181395133771,0.16766300598345696,-3.8767207582835108,-1.6996605714205653,-3.1247032602671534,2.3767744580861181,-5.1896551569346343,-2.085426183545962,0.15554716983996331,-3.1717403849009425,2.5828756372090429,-1.5759708603266627,0.50336995521746575,-0.00096622308529914491,-3.531302066648379,2.3629836122151464,-0.51668662031926216,6.5097676793690766,0.10245349804125725,2.4005526582356542,5.1191674749013032,-2.2253373583201319,3.7342983762379736,-4.8967646082285796,-2.1765366514567286,5.1614891568776216,-3.658861013257876,1.1124904433842748,-1.3171585520152003,-2.0713031013850123,-1.6945940574053675,0.51691594520770012,-3.4552353342417628,0.68430438438616692,2.1503387967702001,-0.44561726053990425,-1.3538924773577601,-1.7000657041911036,0.19344046512804924,-0.25588000019825996,4.1527763883229341,-0.056277902925387036,-2.3305705507639796,-2.6961437185648829,-1.2722177823428065,-0.1896642764452845,-0.37577939232625068,6.5140706578847016,-2.6139056404475123,6.2066051046010102,-4.4964416941050445,1.5446392575856298,0.22592374483309685,5.8738400022145356,-2.5415188988093287,-0.46387927433289589,6.3667241613026704,-5.0694449861887847,-2.1448111256007105,0.58100822368822991,-0.52378004988469185,1.5315343419667333,0.30252352157793938,-0.27326551278866829,-3.302570434415713,-0.26172504028119148,5.6343637982960786,-3.9731949289683253,4.9236470739003266,-0.017684849107638012,-5.1671312769297515,-2.1053601225260645,5.7960950414296235,-0.75854998281039299,-0.19752535423077644,5.9886652509327973,-3.0913077314738184,5.5834752599354829,5.8752571622487153,5.6014906446095551,-1.6426285227183253,2.61355319420062,-2.5852859934214503,0.032042411958798755,0.14958980480395256,-5.4139483888987456,-2.1020459850672633,0.086386946832761158,5.8410164395924653,-1.2037187536600977,4.2020098249074067,-2.2779335697535426,1.0987122336979955,-3.459409805143252,-2.2577160318735987,5.1850587407704438,-2.6689614971522242,-3.7811191995982081,6.1284867803212251,2.7336803952809423,0.34952881733141838,-3.34799465736188,6.1840998212452973,-0.59392323544062675,-2.1494937857035548,-0.99437400897778572,-2.485010357702151,-0.55357498129643501,4.2672535459157075,-1.966421695554629,-1.3056107481364161,-2.0817610939387232,-1.8661416490916163,1.1090861837025732,2.5411118547078222,-0.28003990849293769,0.32085719505511223,-1.5454110821131617,-2.0634958465937525,4.3861509839650239,-1.7415537556055933,2.8075331727620214,-1.8260016163233668,0.1392575780507177,-2.8897417505625635,-3.4982336481455714,-1.4735290130022913,-2.5246780832652003,-4.7272222956065093,-5.0906585176829253,5.9258219281788911,3.3085028211232275,-3.1412273367289454,-1.4506988843325526,-1.7402947862986475,4.1155492345448579,-1.8608510216120631,-2.1143266876582056,-0.94771781762875618,0.50713565746508538,0.45906033912859856,-0.46734926303662361,6.0061265508290376,-3.1791225393656641,-1.5013940056208521,-0.26577314933575691,-1.7897350510004908,5.63598218361102,-2.0897912701014429,-4.5101326425913726,-1.6685838421229273,0.97515573898516594,-2.7128883322123438,-0.32605084975995124,-3.5607670267466456,1.3025166074391454,-3.6134074648264796,5.893799451982602,3.2949859181996435,-4.6001072843912993,-3.0487497766856104,-4.0350559671763335,-4.5549701174143706,2.9335071126576513,-2.3022573908213526,-1.7962529381159693,0.5133655349370092,5.6860047856923188,5.159546522295102,-4.9965170343760406,-2.1413491686228663,-0.82106331934966148,6.3522821942921723,-0.51868814429081977,-1.7872458418253809,3.3782621900197118,-1.169714810455218,-2.4311220367792994,1.5110184232350439,-1.2300030310992152,-1.2066546698454768,-1.225744934881106,-3.5523766001109034,-2.6143294294718653,-2.6177423914317042,6.0290595571156587,-0.50202726026810707,5.5554124395009126,-2.0825966318491846,0.82027926841937004,-1.0108128507975489,5.9120933095570649,-0.79877247860468925,5.0785557309743012,-0.31409719785489143,-1.3025124987009913,-4.4558144529704009,-2.3140825947169215,-4.6657434423808013,0.41521671215258538,5.1376625577565278,-3.4929128607157618,0.48376431862078606,0.29471722046099602,3.2478906194325536,-2.2987181862238795,-1.0797995050791651,4.2867161313649262,0.0086186210270970953,-1.9105398376826197,0.51899733940325676,3.5210286656972021,-4.0809699018839751,3.3192664662953466,0.70587757030688225,6.1707736531849946,-1.5136269052866846,4.7605287114735688,1.2189218083973974,0.45066287914477288,-0.091579588258638989,-1.3130245526675135,-2.0013136585596949,4.0836221257802094,1.0017936507817358,-2.5277898033503443,0.11476179758273064,-3.4343720396403223,6.1084958593007173,3.0255440751668066,-4.9682110269907866,-0.095709474885836254,-0.18845281204022468,-1.0779137929324061,-2.2594849785212427,-2.3959475477579981,3.6926156560536474,5.6331044713612641,-2.3972980697993189,-2.1494072397593409,-1.8019695003870875,-2.0892197807673365,-2.9782463034037501,-2.4243255575541407,3.3101173917409032,6.5054933110829438,-2.6928626020792872,-1.9548871239069849,-1.0323364158514887,3.8065759221669286,0.62841287056170403,-3.9875546415690333,-1.8541104515437037,0.92590418258868157,0.30194666782580315,-1.5018984397295863,0.4845412055607885,-0.17712667783536018,6.4476925412770356,-0.47259341379441322,-2.5780229290369898,-3.4406310041788966,-1.6972892006281763,-1.2190810163859278,0.82663360038958489,-2.8337613066080958,-1.8718189915064722,-2.4918985088709742,-0.4765626957062632,3.815107492601499,-3.0737915953043848,-4.5077687223795806,-0.55044420262612404,1.6344713250752538,0.59758129516802727,2.3286994973774999,-1.5176588614825159,1.3997396508809179,4.3693019429799165,-3.5230122526530177,-2.2236046512965113,1.099791912233457,-1.3247968276385218,6.2552506009694184,-4.1716831644419585,-1.3806635459307581,-3.7157302816752344,1.2596484700795263,-0.46185544332303108,1.3177145997639745,-2.3060733993891627,-0.057403357828035961,-2.1491220911387354,-1.5088147242907435,-2.2488428076151759,0.89430573383532463,-1.2219919284228236,-1.7824537475947291,4.7233945409413423,-0.8146330138090998,0.60548105636797844,4.515163091814145,-2.2426744421366602,-0.93062654336728157,-1.4334760030154139,-3.3568438013438135,-0.10162368615902961,-1.2473947127703577,-1.5495269616488367,-3.387439819181338,-2.4978031834010035,-2.4426278789881617,0.23960020939074456,2.0904172937031835,-2.0420862158183009,4.447622923051938,0.33577218452654778,6.0066849271412934,-1.2338218410853297,-0.76057930489815773,1.4095458070393652,-0.41820094188489021,-3.2321222742442042,5.8363801519032563,-3.3232058008555323,-2.5770795067194849,-0.31931096514500679,0.72523787418566643,-0.036010058725252758,-1.6460498293284327,-4.2690785845164214,5.3818947354909028,-1.8912765701655299,2.2370673696156591,-3.2408536394480616,-0.01739844878949226,-1.6100855191592127,1.1436475793477148,-2.5046910961512476,1.2412191907521337,3.1574496308919042,-1.7195602377299219,-4.7333548982981597,6.1509872953053559,-0.61843190541304649,-2.2150703390482813,-5.430299611890689,-2.640328617895022,-2.9598692377451807,-2.3358186205271632,2.9129666368123144,1.7064711133595556,-2.3687793930415064,-3.3262511213663966,4.272367624437436,-2.3304073532465845,-5.2894814928416167,-1.5694117864016444,0.69464531341753899,1.2206509391423315,-0.38724771341122688,-2.281199904287234,0.87080135742388665,-3.0151425321940333,5.7142797986622895,-1.7597033699396998,6.3953572789784516,4.580111650621518,-3.4103980978373438,6.4420615712758149,-4.1383369882944976,-0.40766781767643989,-4.5225485285166656,-4.4413059671763335,6.0136028806325044,-2.5683570822123438,-2.0698828419093043,5.9267965833302583,5.8210684339161958,-1.584379287565127,2.4513479749318212,0.31395700374804436,-2.8859759291056544,-1.6249425133112818,-2.4603950699213892,-1.8524055202845484,-5.2353986223582183,0.18474444547854363,-2.2207362373713404,5.3366757909413423,6.5767537633534516,4.927673963701352,-3.2087076624277979,-1.4646193703059107,-2.422739358747378,5.3576818982716645,-2.099086376035586,-0.80372051348723472,-3.9434927423838526,-2.9411636312846094,1.1226489822026342,-1.3077832778338343,-0.78446293076314033,-0.68009287318028511,4.4954034368153657,-1.7862660606745631,2.6894771138783544,-1.0091382583025843,1.5287803689595312,5.8734637776967134,-1.9619347771052271,5.6830383817311372,-2.5390444715861231,4.1398221532460298,-1.2197047789935023,1.6846672574635595,6.1165787259694184,-1.2854562123659998,-0.56570275327004493,-2.1670902689341456,-2.8032799681071192,-1.1525176187399775,-2.3812174518946558,0.88983025947771965,-4.9088624437693511,-1.5525943954829127,-3.266095014417544,-1.3213318904284388,6.33929028907977,6.3083335439320649,5.3751651326771821,2.3950490037556738,-2.5892675836924464,-4.4900182207468902,-3.7087305506113917,5.0579430142994966,4.3881346265431489,-3.241342874372378,-0.76926513587869705,4.7141295949574555,4.8203302899952973,6.2412511388417329,6.1266581098195161,3.4219328443165868,2.9060088674183935,-1.6100386103037745,2.0702642480488866,-0.63595286955870689,0.001632181799039234,-1.7061382254008204,2.1587850133534521,-5.0214823206309234,-1.8804079016093165,4.8964935819264497,-0.22585761746205391,-0.9315751661900431,1.6518577615376562,-3.7565096338633448,4.5343104879017915,-0.25433305105008186,-0.59171976348198951,6.2357431928273286,-3.9927330931071192,4.1006461660023774,6.3245631734486665,0.31341960827074944,-2.3546580990199,-0.027807446325197827,-1.5766496380213648,-3.1263745745066553,-2.0799854715708643,-0.87494377990998329,-4.1723013838175689,-2.6738413294199854,3.1740800420399755,-0.7417087220940739,4.9637571851368989,-2.4503285606745631,1.6926080266591161,0.85934927860461174,3.4705716649647802,-3.294992776716128,-2.8455587347391993,-3.1253803690318018,3.7592670003529638,-0.76378666808642448,-2.0003306587580592,2.2952796498890966,6.1151291410084809,-1.1817605515364558,-1.4531759341601282,-4.4622977693919097,-0.50720545848645271,4.1018168012257661,3.4780861417409032,-2.2370871027354151,1.986632732545957,-1.8131473978403956,-5.0639975984934722,-2.3007143457774073,-2.705123277509585,0.035058585798367847,0.22291055122576653,3.6925312558766454,2.8941611329670995,-1.845871420705691,0.78922310272417961,-2.3646841963175684,0.97853210369311272,-1.6979959925059229,-5.2773097475413238,1.0312146226521581,-2.0426032265070826,-1.8615666349772364,-1.660240681970492,-5.3637460192088042,4.6611811200734223,-1.0947847386244685,-1.9412618597391993,-3.1654377897623927],\"z\":[1.7209126597205178,0.304718563512899,2.9518279677191748,-0.11627197806444017,2.527021372870542,-1.1616564149102195,-0.44043216650094835,-4.4422009343346582,-1.8901479596337303,0.64212461765203632,0.90162458475027241,-0.5616598481377586,-0.31387249176111071,1.6474694853583352,-1.8559828156670555,1.3017032986441628,0.53710638935957111,-1.2055859917839988,3.2410707121649756,3.5603587275305761,2.2997942810812964,-4.4041054600914942,3.0363416319647802,-4.1149027699669825,0.53898705001268543,-1.3542396182259544,-1.0455540770730003,2.2678830271521582,-3.1062190884789453,3.3926832323828711,-1.9399180764397606,-2.1132080907067285,0.8171541338721291,0.90080531890783466,3.2868349200049414,-2.2322132939537989,-1.6255686635216697,3.6978158598700537,-3.3646304959496485,-4.3691227788170801,-0.46031162683572618,-1.7735357636651023,-0.24576518480386583,1.0056945925513283,0.77559181507024921,1.1263341551581398,0.76457359846029438,-2.0971832627495752,0.32114868070278318,-2.1789520138939844,0.59330972488317646,-4.064512526436709,2.7288589125433935,-0.74776128475274883,-3.9802940243920313,-2.265229021950625,-2.1370454186638819,1.3236580735007302,2.5187892561713232,-2.0720038766106592,2.070060694769956,-1.8430841321190818,0.54968904908094562,-1.9872184151848777,-2.2787847871026026,-0.65203252975549542,2.3033556586066259,1.9580397253790871,1.5473641997138039,-1.1801981085976585,2.8522421961585058,-1.9414627904137596,2.2424358969489111,1.4935800677100197,2.6814934855261816,-1.8734398240288719,-1.0633577460488304,1.3253179436484352,-1.3942010754784568,1.4389643317023293,0.87805118616018452,3.1031601076880468,3.1063513403693213,1.1078978424826638,0.92488339002523579,-0.33500662986841051,0.91635533626470722,-0.61538109724130474,1.9235921746054665,-0.84139434043969952,2.2650366669455542,-2.0481994504174219,-3.7735307568749414,0.60138397868070759,-0.051875984116457385,-1.3837494010170921,-0.086225038214586658,0.22023350949678572,-2.3228574151238428,1.8464862948218361,3.7029113417426123,1.2781826501647011,-0.56737945024576031,0.46906028892192991,-2.2135410660943018,-2.0628683919152246,-1.2380369061669334,-0.04046544973459093,0.837201023654081,2.9908573275366797,1.2327821498671547,1.9862050658026711,-0.17170277778711168,-2.2872708195885645,1.6243790036002175,-4.4389136189660059,1.1687112694540993,-1.7915833348473533,-0.93923786823358379,0.89649810846243061,-0.089318996115587634,2.4751481657782568,0.021782869652844983,1.0894958620825783,2.415010178641416,-2.4634974354943262,-1.4219024533471092,-2.0867083424767481,-1.6111193055352195,-0.87906924430932842,3.3997888212958349,0.84418412502203144,-1.2857990616997703,-1.5206691378792747,2.2332950478354467,1.4481854086676613,1.1002716666022316,-1.3295537585457786,2.6543135290900244,2.2881769781867041,-0.75032225792016827,-2.3060582036217676,-0.78535715286340557,2.4039139395514502,-2.3108218068322168,0.51729873772058643,-0.67585364524926983,0.053315753296948987,-1.8620951527794822,-1.9020243043145164,-1.2004583234032615,0.78582485969457783,-1.6618275994500145,0.86647834833059467,-2.3881311768731104,1.5621211176672951,1.9238834028998391,1.0202697759428994,0.47894205357227476,1.3589428907195107,-0.32135615293588488,0.68090977723989643,-0.55646727029886089,1.5054069405356423,0.55365350301656879,-1.5736995095452293,0.95347877796087421,1.1247000342169777,0.71669798548612751,-2.29292706195917,0.71361448820028461,3.739574158743955,1.3499763255873696,-0.61775795166101299,-2.1065354699334131,1.6193426495352761,-3.5662513131340967,3.0720355158606543,-1.9200106019219383,1.8633428459921852,1.5980829840460793,1.7556627636710183,1.7654970532217995,3.3954834585944189,0.94232525880727924,-1.9662084931572898,-1.849751507683657,-1.9525401944359764,1.4878282194891945,-0.63729122821893536,-0.7145071381768211,-0.39546743576135485,-1.3430507535180076,-2.0330062264641748,-4.1679814213952051,1.0494790321150795,1.4979819899359719,3.2407769804755224,-1.3561985844811424,1.0498764162817971,-1.191149269982241,-2.0094900483330713,-1.8639381283959373,-0.47995248977746813,-4.5793383473595606,1.6782898550787941,0.74070682580862202,-1.5883779877861961,-2.3771019334038721,3.1538161879340185,3.7083072310248388,-2.0808737630089746,2.0160249119559301,3.8996264582434668,0.14952222462091597,-2.0323360318383203,1.6737135296622292,2.1459217911520971,-0.31565431301202623,-0.026652877970598621,-4.1024010533532129,-2.1747932786187159,-0.94935015384759747,1.6422769671240822,1.5686887150565163,-1.7098124379357322,1.1636628156462685,-0.7162318581780418,-1.7282541150292381,2.2822488194266333,-3.2276380414208399,-0.078878974362276477,0.74750124867353596,1.5832513218680397,-4.0884254330834375,-1.0145118588646873,1.189559364871122,0.3903947194973007,-0.94834426586236797,3.1389162188330664,3.1442126875678076,0.47066290880832823,-1.2757071608742698,1.0581040626326577,1.1477326398650185,0.32490608300361784,1.9128696566382424,0.5173266773978249,3.0760864859381689,-1.1544330472191795,-1.9826200360497459,-0.64909449760522686,-0.23120782320108263,-1.76178578083124,-1.7653222436150535,-3.3801544064721094,-4.5782168263634668,1.0214734321394936,-2.2039041871270166,0.72845580633077778,0.88445487077627338,-0.29914370719995348,-1.0816707963189109,-1.9775553101738914,0.39048799331579359,3.4803926592627539,-0.32863870803918688,-4.1809685582360254,-0.092906569882296008,-0.93725935165490948,0.74785491283331074,0.18445610459242018,1.2826760655203835,-1.2093589657982811,3.7233423834601416,1.2038882618704811,-0.49340949003305284,1.7500769739905373,0.059543306187726575,-1.8433957452019676,-4.282156741066836,0.72548347170744099,0.66199704463873066,1.3617116456786171,-2.2377672547539698,-2.2304728383263575,1.6928121691504494,-0.30780450050439684,-1.2986466044625267,3.625844443396665,0.34684939514193686,-0.9748978966912254,-0.88790789787378155,-0.12677953188028185,-2.02537015621271,0.84438320453558124,-0.21080580894555895,-1.6897497529229148,2.1563965922156347,-1.2289797419747337,2.7292678004065527,-3.7606008404931055,-1.0677769536217674,3.5967497473517431,3.3604943400183691,1.1257096772948281,1.3127427345076577,-0.76174894516076885,-1.2205983752449974,1.3196410780707375,-0.30704352800454943,1.7848413830557839,-2.7273321503838526,1.1913472061911599,-1.5190250033577903,-1.6133187169274315,-1.6711378449639305,1.64319309051428,-1.9469058865746482,2.2391173487463965,-3.567005431099795,-0.79229167644586407,0.58494160528574146,1.1052656417647377,1.0154487734595314,1.4312659149924294,-1.6040673608025535,1.2016483789244667,0.15209474618826063,-1.9866021031579002,-3.9850170964440332,0.46787341143283995,0.12375443632993849,3.3176071291724218,3.3351301794806494,-0.17860732023324816,-0.40273997728433458,-2.2626276368340479,0.15176876838598402,-1.4128768796166404,-1.7225137109002098,1.9167555218497292,0.71580704505834736,0.77422132547292866,0.83087646420393146,-1.174794232293032,0.9538275843420998,-0.67436913196649395,-1.3853454941948875,0.055805141285993176,2.6971456652441992,-1.7222819680413231,-2.036694561882876,0.22020485456380995,-1.0017899626931175,-2.0363965386589991,1.9681576138297097,-0.60229984466638409,2.8106479292670263,0.7931694930354134,1.2149381881514565,-0.59038505498971783,-2.3249888772210108,-1.0659122819146141,-1.3062185401162132,0.43357135187182577,2.4989740496436132,-3.7645094746788965,-0.038051163597963733,0.098663741902448254,1.1280154829779641,3.7040762549201025,-1.1353292817315086,-2.2370138520440088,-0.73369005863275372,-2.0130548829277979,-2.1559827679833399,-0.45105413143243639,-1.5762316340645774,2.6990682726660742,1.4027789479056374,1.7726575976172463,0.37313892850000413,-0.86793092434015118,1.7184003239432351,1.8767610436240212,-1.1653086299141868,-1.5945712680062278,-0.19997534696664659,-0.27938840334024279,0.9043699746886269,-1.3924358243187889,-1.7441013211449607,-2.164802586480044,-1.8035307282647117,-1.8367646092614158,1.1526832824507729,0.50072960014734424,-2.2032118195733057,2.7361378317633642,-1.7908523434838279,0.80211066658888019,0.25911098177824171,-2.3312256688317285,0.96546807344350971,1.5409364348212258,3.214291298941709,1.1345819478789345,-0.99145928566064678,-3.8196928853234278,3.6591691618720068,-2.5635261887749659,3.3964278345862402,0.8544526642123238,-2.1815410012444483,2.2979336624899878,1.2083266025343911,2.6538922434607519,-1.666209256096743,-3.8914845341881739,-3.7873032445153223,1.6922328120032326,3.0861770754614843,0.4213397895852104,-0.360995268269442,-1.2482587451180442,1.9154033308783547,2.0755170231619848,-0.26055273954477159,0.32712042163405569,1.4042644148627297,0.71589305456075825,-1.821381842537783,1.0160376673499123,0.78435095603857197,-1.052843605919741,-2.2612905854424463,0.6890948658743874,-1.8348224515160545,2.9087946062842382,1.6430362110892311,-0.4968474263390526,2.6027874594489111,-1.3492400998314842,-1.486954843445681,-2.07944730465021,-1.1020439023217186,-0.54610196296777569,-2.2726106995781885,1.2273513322630898,-3.0372295731743799,3.5530161505499853,-2.1356568688591944,-1.7008445615014061,1.016341054991819,1.5856625681677834,-0.14174357597436754,0.88299956376943745,2.455823863104917,0.98261817748937763,0.75345029886160053,-1.5385767573555931,1.5969053154746071,-2.8063612336358057,3.5408041125098242,0.98550584371481098,-3.5016446465691553,-0.75427452270593487,-1.2737386578759178,-1.6466327065667137,-1.8502304906090721,-2.3419442528923975,-2.0458758229454981,-1.2706771249016746,1.9913510924139992,3.4627344256201757,-2.2016206139763819,-2.2152846211632715,3.0283591395178808,-0.47989234869088976,0.068220908001996594,-0.77350369636621319,0.50619247014913715,0.83226543124113239,-0.759559070511721,-2.1788525933464991,1.9045886641303078,-3.9743526334008203,2.6428641920844091,0.82426616008672871,1.0060130005637185,-0.90193072502221905,0.99577304180059589,2.2701818590918554,2.87701340969,1.1097865944663063,1.0397622233191506,-1.4801934117516502,2.5116467123785986,1.0542903190413491,-0.10410792176332323,-0.52546677534189068,-2.2278192395409571,1.8003981953421608,3.2558207159796728,-0.13142303173150865,1.5368673449316994,-1.7740826958855613,3.0596899634161963,3.1895594244757666,-0.17401996795739977,0.91778298671636738,1.6361664181509987,-0.73427704517450176,-2.2525081986626612,-2.2196486348351465,0.69169294293317951,-0.46725687925424425,1.1021707301894204,0.53705961461458362,0.62042188103590168,0.86326968129072346,-4.1374972218712793,-0.08763489667978136,-0.55257776920404278,0.70897960122022785,1.4694782143393532,-1.6909764165123924,1.7370013838568703,-1.2234360331734642,1.392500722960569,1.1404010897437111,0.70430269296560444,-0.77642956916894756,0.55308466608915485,-0.35568419639673082,-1.5766607875069603,1.8585914021292702,-3.3035679215630518,-2.3364601487359034,0.90753599460516132,-2.2550762051781641,-1.1180763596734031,0.65383696015272297,1.2952232008734719,-1.9782958382805809,-0.59248397295083843,2.2972430830756201,0.038324529484845715,0.091932917193509656,2.0057422762671484,-4.1635878438195215,-1.8778262490471824,1.3438335901061074,0.043047363118268567,-1.7005379552086815,1.8161207085410134,-0.69823590461816631,-1.9868114346703514,-0.68850151245202862,2.8571991568366064,0.96169736440572895,-2.2192685956200586,2.4049763327399267,0.58710421080980457,1.6121569519797341,-3.7493899220665918,1.4361596947470681,-2.0254648083886133,-1.0320638770302757,-2.194324767037295,-3.3233628625115381,1.1207342391768471,0.93353792484197773,-4.3238962048729883,-2.0157058591088282,1.3689778691092507,2.3818230276862158,-1.6327367181023582,-2.2361541146477686,1.2783063894072548,-0.34779039566125719,-1.6785416955193504,-1.3047206753930076,-4.0978777760704981,1.7616051083365456,1.1861673241415993,0.96773936803732075,0.19234318490419539,-0.61603239719476544,3.5063635950842871,-4.0356600636681543,-2.7837984914025293,-2.2865541333397852,-2.1630576008995996,0.47733135725650938,-0.85122517292108379,3.5315065031806006,1.2911687141219155,0.43814096058998259,2.8295335417548193,1.0183514600554482,-2.0716970318993555,0.074111575440503674,-0.1683719510277733,1.8081029301444069,2.813250506476499,-0.17830512468423693,2.2930901890555395,1.8301757221976296,-2.1124124879082666,-2.3127229565819727,2.3696720248023047,3.7532853728095068,3.6653802042761816,-2.2501683587273584,-1.7157409543236717,2.5517861491004004,1.3657154088774697,1.0044521933356301,-1.9490778798302635,-2.0694294327935205,-1.3766488188942894,1.0883080011168496,3.7152385359564795,0.24303577299509199,-2.3975520486077295,-2.0111916417321192,-2.1207371110161768,1.323900664404966,3.4216956740180029,-2.1676068658074366,0.2165401970902458,0.53535660560522236,-0.029214953823946399,-1.4250539893349632,1.3786654120245949,-2.1199062222680078,-2.290758168145083,2.2367086058417334,2.3664700632849707,1.4042710905829445,1.6668164377966896,-2.2967899197777735,-4.0652792805870996,-0.19649956171121447,-1.7053244466027244,-2.096262490197085,-0.27862081472482531,1.8389694338599221,-0.70852748100366436,0.39061276912037285,-1.4190649146279319,0.61508458311948933,2.6585242396155371,-2.3407025689324366,3.5099353438178076,3.1888248568335547,-1.7592449540337547,2.296513879851438,-1.2292689437111839,-0.55698255245294415,2.4151751642981543,0.8907671218672768,-0.10765579883661119,-1.8264146203240379,2.3196100836554541,-1.9832051152428611,-4.1977947110375391,-1.2108956927498802,-1.2360688800057396,-1.8238900059899315,-0.86720553581323467,-0.027806436463259143,-1.7001874798974022,-1.2176562899788841,2.3941752558508886,-0.45528093521203844,2.2259193306723608,-0.068795179768465442,-0.41647366230096666,1.3449152951994912,-0.54538110439386212,1.3633727675238625,0.85273441131506122,0.24904445763025435,0.6631188338557259,0.4339464550772682,-1.3287616128167137,2.2579960470953955,-1.4042799824913963,0.61381466145906605,2.3593933230200781,0.8688000386515633,1.4263145571509377,-1.6951468342980369,2.7577550059119238,0.17524067516718062,0.9498038535872475,-2.0003671998223291,0.18651787395868452,0.43843322451505812,-3.9814703816613184,0.57061597164068378,-1.5036745423516258,3.0048808699408545,-0.33383670990075914,1.7172023897925393,-1.6321361417016014,0.98652752693090595,1.9697740917960183,1.0880603438178078,-0.53754291479196392,2.773108208731748,-4.2355239743432032,-0.37801322881784288,0.72456821258459247,-2.0279355401238428,0.54893437977228321,3.1907698756018652,3.0268418436804785,3.457516396597959,1.4449412470618264,-3.340039288445376,0.84601234848890461,-1.4419619197091087,2.3569098358908667,-0.14701214973535387,1.4355934506217018,0.62639995868597187,0.99976345355901874,1.2342852001944558,1.2835021858969704,1.2228841429511086,-0.21482173149194567,3.613076413230039,-2.3255999440392481,-0.17167637292947618,-1.5193666571816429,-0.21886805240716783,0.57198853249941028,2.5018155222693457,3.2400831824103369,2.9130816107550634,-2.1386235112389551,-0.26648065988626329,-2.7126224393090235,-0.13236359302606432,-0.18778732959832994,0.67918309028539814,-0.97862473671045147,2.0716530924597754,-1.9102948064049705,-1.6672747487267479,-1.7135117406090721,-2.2741632813652979,-0.32925484125223009,-1.2433543557366356,0.36929347710032018,1.8232771998206154,-1.2759771699151023,1.1154466515341774,-0.021791195317171497,-1.1791127080162986,0.8878723030844704,3.6451568251410498,1.9975769167700783,0.7745423858920113,1.2915099507132546,-1.8756244534691795,-4.3823464268883692,-1.4591155404290184,-3.7586329335412012,-1.5040309781273826,-2.5591385716637598,-1.6513920182427391,1.5046544914999977,-2.0850282067498194,-2.1008479947289453,2.6287481432715429,1.1270150786200539,0.32470682095084341,-2.057024037285708,-1.2075527066430076,-1.065495407029055,0.13675721939001234,1.3079818731108681,-1.2754156941613182,2.884389365271665,1.3640479093352333,2.0701118355551733,-0.37930515949334948,2.5852379446784033,1.2134255414763466,2.5993244295874609,-2.2355978841027246,-1.3153759593209251,-1.8953039998253807,-0.45669290964212267,0.87915643508825458,-1.6264961117943748,-1.0798709744652732,1.6988180523673073,-0.94540134613122784,1.667353714064695,0.037134016112424451,-0.90237275306787335,1.2605692392149941,-1.1737389916619285,0.40754000674281271,1.4392054920950905,-0.45946708862390367,-3.0717862004479395,1.1325286274710671,-0.66270211879815899,2.3558253889838232,0.1166816001692787,-1.7870245331963523,3.0938043242255224,1.4199568873206154,-2.2672367448052393,3.5120024328986181,1.9821776991644875,-1.0933958644112571,-1.7200847024163231,-3.6352956647118555,1.8281238919058815,3.2434551363745703,1.7570126896658913,0.94751032646093525,0.94733711536321796,1.0536057596961037,-3.5108058804711328,1.2466590052405373,0.47824824060592802,-1.6976774090966209,1.6713567620078102,-1.3610468262871727,-0.77255121414270245,-1.1383841389855369,0.02872138674650343,2.4830815439978613,0.88447066600713886,1.9429345970908181,-1.0324172133645042,-2.3510797375878321,-1.4476848000725731,0.26201189513597639,1.1477381830969826,-1.4810302609642967,1.7048794871130959,-0.53395435754861675,1.6828380471030251,0.90038057620916523,-0.99898735229577862,1.2779807096282021,-3.4881890172204004,-1.5146830434044822,-0.72990480606164776,-0.610877429886721,-2.2288358563622461,-1.8078728074273094,2.216438139037229,-1.5956042165001854,1.2107753997603432,3.7306248789587988,1.7515104656973854,-2.2431216592034326,-3.7950709218224512,-0.27807972375955431,-1.5701052302559837,-2.0571282262047754,2.8631963377753271,-0.4825310463150963,1.6426313763419167,-2.0708632821282373,3.3254556303778662,-1.9241636151513084,1.9326098805228249,2.1696555262366308,-1.3984380120476707,-1.1418389434060081,0.19010824914369734,-0.1337219232758507,-2.1535916680535303,2.7292859202185644,-2.2689855450829493,2.4331793432990088,1.0194046741286293,-1.8206553811272606,-3.9941161030968653,-2.0084650868615137,-0.075243359251879138,0.55220734532270588,-0.75211945716943585,-1.5432904118737205,-1.80182484333124,-0.82482949440088116,0.86275687272939838,-3.5396340245446192,1.3238997703352944,0.044734383181668835,-3.2960760945519434,-2.0534053200921045,2.2898159867087378,3.2229990607062353,2.7280842905798925,3.2318439131537451,-1.2646129483422264,-1.4033933037957176,-0.47724065725412218,0.92000427301321186,3.077028000907041,1.6591003781119362,2.000695312575437,-2.0032043809136377,0.43237840588483961,2.5682856684485449,-0.60239753667917095,-2.0061273926934229,0.086906844929792004,-1.5733874196251854,-1.7488398904046043,-2.2866111153801905,-2.2330105656823145,3.6391958838263525,-2.0540738457879053,-1.4164207333764061,-0.025705700560472888,-1.9356620663842186,0.99586179311666645,1.7376130467215554,-2.3733580464562403,-2.0383117551049219,1.4584244137564675,0.66361799295339741,-2.2756264561852442,1.240804219798185,-2.1218195313652979,-0.42767701093759386,-1.2472914809426292,-1.4674115533074363,2.4409746771613134,-2.2123680466851221,-1.3827655667504295,1.845051730231382,-2.5346234196862207,-1.4120872372826561,-1.3125818127831443,-0.012733524485491199,0.95320072229299702,0.21816810424719008,1.9236166125098244,0.075430149392224866,-2.3801901692589746,-1.9588947648247703,-0.29265860263910143,1.6331224089423195,1.1292436962882058,0.88943287189397968,-2.2359147423943506,1.5138283615866677,1.9692984467307106,0.72607460077200092,0.69116958434972919,1.4489907866278664,-0.63467577640619122,1.1443618779936806,-1.4216475838860496,0.54873485322389759,-0.38111028616037218,1.5091299658576027,0.79618325288686909,0.56344146485719837,0.7448875253954903,-4.1484949940880762,-2.3450262898644434,0.51448547299299396,1.9984683638373391,3.2512380724707617,1.1803533678809182,0.071157509640790539,2.7110910063544287,0.73239692504797138,0.9550708180228249,0.3882182344729081,1.0160740857878701,-3.5063732022484766,-2.0848410481652246,3.2758783942023291,2.0168980007926001,1.0070734267989174,0.077136183337308484,3.4548844939032568,0.11523925717268141,1.8868381624976174,-1.9708857888421043,3.0285789614478125,2.9304322844306006,2.6455645209113134],\"text\":[\"Cell:CAGCCGAAGCGATATA
Exp:0
split.by:All_cells\",\"Cell:AGTGTCATCGCCGTGA
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGTTGTAGA
Exp:0
split.by:All_cells\",\"Cell:CACAGTACATCCGTGG
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTCATTGGGCC
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTGTGTGACCC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:ACCGTAACAAGGTTCT
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGGTGGGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGGTCCCTTGT
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTGTCTTCTCG
Exp:0
split.by:All_cells\",\"Cell:CCGTGGACACGAAGCA
Exp:0
split.by:All_cells\",\"Cell:GAACATCAGCAATATG
Exp:0
split.by:All_cells\",\"Cell:TTCTACACAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:ACGGCCACACGTGAGA
Exp:0.876
split.by:All_cells\",\"Cell:CTCGTACAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CGTCTACAGATGCGAC
Exp:0
split.by:All_cells\",\"Cell:CTCACACGTCACACGC
Exp:0
split.by:All_cells\",\"Cell:AAAGCAACACGGTAAG
Exp:0
split.by:All_cells\",\"Cell:CATCGGGCACGTTGGC
Exp:5.63
split.by:All_cells\",\"Cell:ATCATCTGTGTTTGTG
Exp:0
split.by:All_cells\",\"Cell:CAAGGCCCAAGAAAGG
Exp:0
split.by:All_cells\",\"Cell:AGATCTGGTTCGGCAC
Exp:3.432
split.by:All_cells\",\"Cell:CTCTGGTCAAGACACG
Exp:0
split.by:All_cells\",\"Cell:TACAGTGTCCCTAACC
Exp:0
split.by:All_cells\",\"Cell:GGACAGATCAGCATGT
Exp:0
split.by:All_cells\",\"Cell:CACTCCACATATGGTC
Exp:0
split.by:All_cells\",\"Cell:GTTCATTGTTCCAACA
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCCAATAGCAA
Exp:1.213
split.by:All_cells\",\"Cell:TACTCGCTCTTCGGTC
Exp:6.886
split.by:All_cells\",\"Cell:GCTGCTTTCCTCGCAT
Exp:1.352
split.by:All_cells\",\"Cell:GCTGGGTGTCTAGAGG
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:CGAGCACTCTAACTCT
Exp:0
split.by:All_cells\",\"Cell:GATCGTAAGTGCAAGC
Exp:4.718
split.by:All_cells\",\"Cell:TGTCCCAGTCTCGTTC
Exp:0
split.by:All_cells\",\"Cell:CTTGGCTCAGCCACCA
Exp:0
split.by:All_cells\",\"Cell:GGGTCTGGTAAACCTC
Exp:0
split.by:All_cells\",\"Cell:CGGACTGTCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:GGTGCGTTCTGGTATG
Exp:0
split.by:All_cells\",\"Cell:TACCTTATCCGATATG
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCTCTATCGCC
Exp:0
split.by:All_cells\",\"Cell:GTACGTACATCGATGT
Exp:0
split.by:All_cells\",\"Cell:TCGTAGATCTTTACGT
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGAGAGTGAGA
Exp:1.418
split.by:All_cells\",\"Cell:AGCGTATTCTGCTGTC
Exp:0
split.by:All_cells\",\"Cell:GGACAAGTCATAACCG
Exp:0
split.by:All_cells\",\"Cell:ACATCAGTCCTTGGTC
Exp:0
split.by:All_cells\",\"Cell:CCAGCGACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:GGACAGAAGTGGAGAA
Exp:1.208
split.by:All_cells\",\"Cell:GACTACAAGCGTGTCC
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTAGAGCTG
Exp:0.89
split.by:All_cells\",\"Cell:GTTCTCGCAAGTCTAC
Exp:0
split.by:All_cells\",\"Cell:CGAATGTTCTTCATGT
Exp:0
split.by:All_cells\",\"Cell:CCGTGGACATTCCTGC
Exp:0
split.by:All_cells\",\"Cell:CTAATGGAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:AGCGGTCGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:GTATTCTTCACTTACT
Exp:0
split.by:All_cells\",\"Cell:CAGTCCTAGGTGGGTT
Exp:1.702
split.by:All_cells\",\"Cell:CGACTTCCACAACGTT
Exp:0
split.by:All_cells\",\"Cell:AAACGGGTCCGCGCAA
Exp:0
split.by:All_cells\",\"Cell:CTAGTGACATTGAGCT
Exp:0
split.by:All_cells\",\"Cell:CTCCTAGAGAGTGACC
Exp:0
split.by:All_cells\",\"Cell:GCAGTTATCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:CGAACATCAAGCGAGT
Exp:0.808
split.by:All_cells\",\"Cell:GGGAGATAGCGAAGGG
Exp:1.123
split.by:All_cells\",\"Cell:CATCGGGAGGCCCTTG
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGCTGCAAG
Exp:0
split.by:All_cells\",\"Cell:CAGAATCCACGCATCG
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CGGACACTCTATCCTA
Exp:2.947
split.by:All_cells\",\"Cell:CGTGTAATCATTATCC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAAGTTAAGATG
Exp:0
split.by:All_cells\",\"Cell:ATTTCTGTCCCTGACT
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAGTTGGACCC
Exp:0
split.by:All_cells\",\"Cell:CAGATCACAACCGCCA
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGCATTCCTCG
Exp:0
split.by:All_cells\",\"Cell:CCACGGACAGATGAGC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAAGAAGATTC
Exp:0
split.by:All_cells\",\"Cell:CATGACACAAAGTCAA
Exp:1.077
split.by:All_cells\",\"Cell:AACGTTGTCAGTTAGC
Exp:0
split.by:All_cells\",\"Cell:CTGGTCTAGGTGATTA
Exp:3.747
split.by:All_cells\",\"Cell:TCAGGATTCCAGTAGT
Exp:4.697
split.by:All_cells\",\"Cell:CATTATCGTCATATCG
Exp:0
split.by:All_cells\",\"Cell:GCGCAACAGTGTACCT
Exp:0
split.by:All_cells\",\"Cell:GTGCATACAATAGCAA
Exp:0
split.by:All_cells\",\"Cell:TTTACTGGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:GTAGTCAGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:CCTACACGTTCTCATT
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCTCAACACGT
Exp:0
split.by:All_cells\",\"Cell:CTAACTTGTAGGAGTC
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:GTAGGCCGTTACCAGT
Exp:0
split.by:All_cells\",\"Cell:TCTCATATCAGAGCTT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTGTCATACTG
Exp:0
split.by:All_cells\",\"Cell:GGGAATGTCGACCAGC
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCAGGGTTTCT
Exp:0
split.by:All_cells\",\"Cell:CGGACTGAGGTAGCTG
Exp:0
split.by:All_cells\",\"Cell:CAACCTCTCTCTGTCG
Exp:1.013
split.by:All_cells\",\"Cell:CTGAAACGTTCCCTTG
Exp:6.41
split.by:All_cells\",\"Cell:GTAGTCAGTACTCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCACCTATCC
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTACCGTTA
Exp:0
split.by:All_cells\",\"Cell:TTCTACAAGATCGATA
Exp:0
split.by:All_cells\",\"Cell:TCACAAGCACCGAAAG
Exp:0
split.by:All_cells\",\"Cell:TCGGGACGTCATCGGC
Exp:0.871
split.by:All_cells\",\"Cell:ACGCCAGAGGAACTGC
Exp:0
split.by:All_cells\",\"Cell:CATATGGCATGTTGAC
Exp:0.615
split.by:All_cells\",\"Cell:ATCATCTTCTGTCAAG
Exp:0
split.by:All_cells\",\"Cell:CCGTTCACAGTAGAGC
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTGTGGTCCGT
Exp:0.63
split.by:All_cells\",\"Cell:TTTGTCAGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:ATTATCCAGACCCACC
Exp:0
split.by:All_cells\",\"Cell:CACCACTCAATCTACG
Exp:0
split.by:All_cells\",\"Cell:GCGCGATGTCCGAATT
Exp:0
split.by:All_cells\",\"Cell:CATTATCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGCTAAGAT
Exp:0
split.by:All_cells\",\"Cell:GCGCGATTCGCGTAGC
Exp:0
split.by:All_cells\",\"Cell:CTACATTCACCGTTGG
Exp:0
split.by:All_cells\",\"Cell:TCATTTGCATTGGCGC
Exp:1.581
split.by:All_cells\",\"Cell:AGCAGCCCAGGAATGC
Exp:0
split.by:All_cells\",\"Cell:GGGATGAGTCTGCGGT
Exp:0
split.by:All_cells\",\"Cell:TGCGCAGTCTGCCAGG
Exp:0
split.by:All_cells\",\"Cell:AGCGTATTCTCGTATT
Exp:0.954
split.by:All_cells\",\"Cell:GTCTCGTAGATCTGCT
Exp:0
split.by:All_cells\",\"Cell:CAGAATCGTGTAAGTA
Exp:0
split.by:All_cells\",\"Cell:TGACTTTAGGTCATCT
Exp:1.041
split.by:All_cells\",\"Cell:GTGCATATCAGAGACG
Exp:1.487
split.by:All_cells\",\"Cell:TGGCCAGCACGAAAGC
Exp:0.84
split.by:All_cells\",\"Cell:TGGCGCACAATGTTGC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACGTCTGATCA
Exp:0
split.by:All_cells\",\"Cell:CAGCGACAGATCACGG
Exp:1.002
split.by:All_cells\",\"Cell:AAAGATGAGTGAACAT
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTGTCAGAGGT
Exp:5.384
split.by:All_cells\",\"Cell:ATTTCTGAGAAGATTC
Exp:0.949
split.by:All_cells\",\"Cell:CTCTAATTCACCATAG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTTCTTGTCAT
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGCTAGTCT
Exp:0.712
split.by:All_cells\",\"Cell:CCTAAAGTCATGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCACAGCTGTCTA
Exp:0
split.by:All_cells\",\"Cell:GAAATGACACATGACT
Exp:0
split.by:All_cells\",\"Cell:ACTGAGTAGGCTAGGT
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGAGCTGCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCACAGATCGGA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTTCTGGTGTA
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTCATACTCTT
Exp:0
split.by:All_cells\",\"Cell:ACTATCTGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCGATAGAA
Exp:0
split.by:All_cells\",\"Cell:GTTCTCGCAGCTGGCT
Exp:0
split.by:All_cells\",\"Cell:CATATGGAGGCCCGTT
Exp:0
split.by:All_cells\",\"Cell:ACTGAACAGCCTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGGTGCCT
Exp:0
split.by:All_cells\",\"Cell:CCCTCCTAGACCCACC
Exp:0
split.by:All_cells\",\"Cell:TTAACTCGTCCGAACC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCCATAAAGGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAACTCAAACCAC
Exp:0
split.by:All_cells\",\"Cell:GTTCTCGGTTTGTGTG
Exp:0
split.by:All_cells\",\"Cell:ACATCAGTCCGTTGTC
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCCTTTCTC
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGCCAACAG
Exp:0.985
split.by:All_cells\",\"Cell:AAGACCTAGTAGGCCA
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCACGAGGTA
Exp:0
split.by:All_cells\",\"Cell:GGACAGAAGGCCGAAT
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCCACGTAAGG
Exp:0
split.by:All_cells\",\"Cell:TCCACACCAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:CACACCTGTCGCTTTC
Exp:0
split.by:All_cells\",\"Cell:GGCTCGAGTCGCTTCT
Exp:0
split.by:All_cells\",\"Cell:TGGCTGGCAGTGAGTG
Exp:6.628
split.by:All_cells\",\"Cell:GATGAAACAGGCTGAA
Exp:0
split.by:All_cells\",\"Cell:TTCTTAGTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TCCCGATGTAAGTGTA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCTGCTGTC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGTGGTAGC
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTAAGAGAG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAGTTCGCTAA
Exp:0
split.by:All_cells\",\"Cell:CCATTCGGTGCTAGCC
Exp:0
split.by:All_cells\",\"Cell:CCACTACTCTTTAGTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTGAAATCA
Exp:0
split.by:All_cells\",\"Cell:ACCGTAATCTATCCCG
Exp:0
split.by:All_cells\",\"Cell:ACTTACTCAATACGCT
Exp:0
split.by:All_cells\",\"Cell:GAACGGATCACAACGT
Exp:0
split.by:All_cells\",\"Cell:CGGTTAAGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:CAAGAAACACTAGTAC
Exp:1.394
split.by:All_cells\",\"Cell:AGTTGGTGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:CGTCCATGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:CAGCTAACAACACGCC
Exp:0
split.by:All_cells\",\"Cell:CAGTAACCATACGCTA
Exp:0
split.by:All_cells\",\"Cell:CTCGTACCAGCCAGAA
Exp:0
split.by:All_cells\",\"Cell:ATTATCCGTATAAACG
Exp:0
split.by:All_cells\",\"Cell:GTACTTTTCAGTTCGA
Exp:6.092
split.by:All_cells\",\"Cell:AGTAGTCCACATGACT
Exp:0
split.by:All_cells\",\"Cell:AGTGAGGTCTGTTGAG
Exp:0
split.by:All_cells\",\"Cell:TCTCATAAGCAGATCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGATCAGGATCT
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCCAAGTCATC
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTACTTCTT
Exp:0
split.by:All_cells\",\"Cell:GTCCTCAAGTTCGATC
Exp:0
split.by:All_cells\",\"Cell:GCCAAATGTAAACACA
Exp:0
split.by:All_cells\",\"Cell:ACTTACTGTTTGGGCC
Exp:0
split.by:All_cells\",\"Cell:ACTTACTCACCGTTGG
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGAGGACCACA
Exp:4.921
split.by:All_cells\",\"Cell:AAGACCTGTGGCTCCA
Exp:7.216
split.by:All_cells\",\"Cell:AACTTTCCACAGTCGC
Exp:0.914
split.by:All_cells\",\"Cell:CAGATCATCTCGATGA
Exp:0.588
split.by:All_cells\",\"Cell:TGTTCCGGTCAGCTAT
Exp:0.897
split.by:All_cells\",\"Cell:GCGCCAAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTTCGCACTCT
Exp:0
split.by:All_cells\",\"Cell:GTAACTGTCAGTGCAT
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGCATCG
Exp:0
split.by:All_cells\",\"Cell:CGCCAAGTCTAAGCCA
Exp:0
split.by:All_cells\",\"Cell:ACTATCTTCATGTAGC
Exp:0.807
split.by:All_cells\",\"Cell:ATGCGATGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:GATGAAAAGACAGACC
Exp:0.799
split.by:All_cells\",\"Cell:GTCAAGTAGTATCGAA
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACAGTCACTA
Exp:0
split.by:All_cells\",\"Cell:TATCTCACATTGTGCA
Exp:0
split.by:All_cells\",\"Cell:CGTAGCGAGACTGTAA
Exp:0
split.by:All_cells\",\"Cell:ACGATGTGTCGCGGTT
Exp:0
split.by:All_cells\",\"Cell:CTCTGGTTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:GGATGTTAGTAAGTAC
Exp:1.404
split.by:All_cells\",\"Cell:CAGAATCCACAAGCCC
Exp:0
split.by:All_cells\",\"Cell:GTAACTGGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AACTTTCGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCAATCCGAT
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCAGTGTCCCG
Exp:0
split.by:All_cells\",\"Cell:TATTACCGTTGAGTTC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCATCAGAGCTT
Exp:0
split.by:All_cells\",\"Cell:TAAGTGCTCGCCTGAG
Exp:0
split.by:All_cells\",\"Cell:TCGTACCCATATACGC
Exp:0.969
split.by:All_cells\",\"Cell:TGGTTCCGTTGATTCG
Exp:0.55
split.by:All_cells\",\"Cell:AGAGCTTCATTCGACA
Exp:7.327
split.by:All_cells\",\"Cell:GGTGTTACATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CCTCTGACATCGGTTA
Exp:0
split.by:All_cells\",\"Cell:CTCTACGCACTAAGTC
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGGTGAAGGCT
Exp:1.213
split.by:All_cells\",\"Cell:ACGTCAACAGACAAAT
Exp:0.771
split.by:All_cells\",\"Cell:TCGAGGCAGTTAACGA
Exp:0.791
split.by:All_cells\",\"Cell:CAAGTTGTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTACTTGAC
Exp:0.946
split.by:All_cells\",\"Cell:AGAGCTTTCTTGAGGT
Exp:0
split.by:All_cells\",\"Cell:GCACATAAGCAATATG
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGTGACATA
Exp:1.032
split.by:All_cells\",\"Cell:TGTGGTACAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TAAGAGACAGTAGAGC
Exp:0
split.by:All_cells\",\"Cell:CACATTTTCGAGGTAG
Exp:0
split.by:All_cells\",\"Cell:AGACGTTCAATGGTCT
Exp:1.021
split.by:All_cells\",\"Cell:GGAACTTGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGTCCAAATGC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGATCTAGCACA
Exp:0
split.by:All_cells\",\"Cell:CGTAGCGTCACTATTC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCACTGTGTA
Exp:0
split.by:All_cells\",\"Cell:TGCGCAGTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCGGAATCT
Exp:1.046
split.by:All_cells\",\"Cell:ACTGATGGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CAGTAACAGCCACCTG
Exp:0
split.by:All_cells\",\"Cell:ACTGATGAGTGCAAGC
Exp:0
split.by:All_cells\",\"Cell:CTGCTGTGTTGTGGCC
Exp:0
split.by:All_cells\",\"Cell:GAGTCCGCAATTGCTG
Exp:0
split.by:All_cells\",\"Cell:TTTCCTCTCTGAAAGA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTAGCGTAATA
Exp:0
split.by:All_cells\",\"Cell:GTCATTTGTCTCAACA
Exp:0
split.by:All_cells\",\"Cell:GACTAACCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:GGTGAAGAGCAGGTCA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGTCTGATACG
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTCACCGAATT
Exp:1.009
split.by:All_cells\",\"Cell:CAGGTGCAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAAGCTACCTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCGTGCAGACA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGAGTTTGCGT
Exp:0
split.by:All_cells\",\"Cell:TCTATTGCAGTAAGCG
Exp:0
split.by:All_cells\",\"Cell:TTGGCAATCGGATGGA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGAGTCATCCA
Exp:0
split.by:All_cells\",\"Cell:CACCACTTCAGCTTAG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAGTATCGCAT
Exp:0
split.by:All_cells\",\"Cell:ACGGGCTAGACTTGAA
Exp:0
split.by:All_cells\",\"Cell:TGGCGCAGTGTATGGG
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTCAGAAGC
Exp:3.032
split.by:All_cells\",\"Cell:GATCGATAGAAAGTGG
Exp:1.214
split.by:All_cells\",\"Cell:TGCGGGTTCCAGGGCT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGTCCTACAGA
Exp:0
split.by:All_cells\",\"Cell:AGGGATGTCGCATGGC
Exp:0
split.by:All_cells\",\"Cell:TGCCCTACAATCACAC
Exp:0
split.by:All_cells\",\"Cell:CCCATACTCGTGGACC
Exp:0
split.by:All_cells\",\"Cell:GACTAACCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:TCACAAGAGCCACTAT
Exp:1.004
split.by:All_cells\",\"Cell:GGCAATTTCACATGCA
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCAGGAATGGA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:GCATGTAAGAATCTCC
Exp:0
split.by:All_cells\",\"Cell:GTTACAGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:GTTCGGGAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGTCTGGAGCC
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAAGAGGTTAT
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTACTGAC
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCGTTTAGG
Exp:0
split.by:All_cells\",\"Cell:GCATGCGCAAATTGCC
Exp:0
split.by:All_cells\",\"Cell:TCAACGACACCATCCT
Exp:0.432
split.by:All_cells\",\"Cell:CCTCTGATCATGTCTT
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCTTCTGGC
Exp:0.935
split.by:All_cells\",\"Cell:CTCAGAATCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:CGTCCATCATGGTAGG
Exp:0
split.by:All_cells\",\"Cell:TTAGTTCCATGAGCGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCAACACGT
Exp:0
split.by:All_cells\",\"Cell:CAGCAGCAGAGGTACC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGGTTCTCATT
Exp:0
split.by:All_cells\",\"Cell:CTAGCCTGTGCGATAG
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGGTCTCCACT
Exp:0
split.by:All_cells\",\"Cell:GCATGATCATGCATGT
Exp:0
split.by:All_cells\",\"Cell:TACGGTATCCCATTTA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGAAGCTAGGCA
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTCGAGTTT
Exp:0
split.by:All_cells\",\"Cell:GACCAATGTACGAAAT
Exp:0
split.by:All_cells\",\"Cell:GTATTCTTCAGGTAAA
Exp:0
split.by:All_cells\",\"Cell:TACCTATGTAACGTTC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGCAACGATGG
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTTCAGCACAT
Exp:0
split.by:All_cells\",\"Cell:TGCCAAACATGACATC
Exp:0
split.by:All_cells\",\"Cell:CTAAGACGTACTCTCC
Exp:0.84
split.by:All_cells\",\"Cell:CGATGGCTCAGTGTTG
Exp:0
split.by:All_cells\",\"Cell:CCAGCGACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:TGAGAGGAGCCAGGAT
Exp:6.437
split.by:All_cells\",\"Cell:AGAGCGACACAACTGT
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTTCCTTTCGG
Exp:0
split.by:All_cells\",\"Cell:GCCTCTAAGTCCGGTC
Exp:1.029
split.by:All_cells\",\"Cell:GGGATGATCTGTCCGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACATCCTAGA
Exp:0.845
split.by:All_cells\",\"Cell:GCACATATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:CATCCACCAGATGGGT
Exp:0
split.by:All_cells\",\"Cell:TGCCCTATCATAAAGG
Exp:1.015
split.by:All_cells\",\"Cell:ACTGTCCAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCACTTCC
Exp:0
split.by:All_cells\",\"Cell:GACAGAGCAGTCAGAG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTTCAGTCCCT
Exp:1.127
split.by:All_cells\",\"Cell:AATCGGTGTCACACGC
Exp:0
split.by:All_cells\",\"Cell:TACGGATAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:GTGTGCGCAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:CCACGGAGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTATTG
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCACCAGGCT
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:CACCAGGGTACCTACA
Exp:0
split.by:All_cells\",\"Cell:GGCCGATTCAGAGACG
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCTAAGCCA
Exp:0
split.by:All_cells\",\"Cell:GACTGCGGTCGCCATG
Exp:0
split.by:All_cells\",\"Cell:GAATGAACAGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:CGCTGGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTAATGGCATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGATCAATCTCT
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTTCGTACGGC
Exp:0
split.by:All_cells\",\"Cell:TTCCCAGAGGATTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTCATCTCCCA
Exp:1.023
split.by:All_cells\",\"Cell:GTGCGGTAGTGAATTG
Exp:0
split.by:All_cells\",\"Cell:TACCTATGTCCAACTA
Exp:1.117
split.by:All_cells\",\"Cell:TACTTGTAGACAAAGG
Exp:0
split.by:All_cells\",\"Cell:GTCCTCACACCACGTG
Exp:0
split.by:All_cells\",\"Cell:TAAACCGCATTCCTCG
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTCGACTGC
Exp:0
split.by:All_cells\",\"Cell:TCAGCTCAGGCTATCT
Exp:4.589
split.by:All_cells\",\"Cell:CACAGTAGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGCACACATGT
Exp:0
split.by:All_cells\",\"Cell:ACGGCCACACGCTTTC
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCATTCCTGC
Exp:0.916
split.by:All_cells\",\"Cell:CTCAGAATCAGGTTCA
Exp:0.96
split.by:All_cells\",\"Cell:TGAGGGACAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:TACGGTATCTTTCCTC
Exp:0
split.by:All_cells\",\"Cell:GATCGCGAGCGTTGCC
Exp:1.006
split.by:All_cells\",\"Cell:CAGCGACCACAGGAGT
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGCTTGC
Exp:0
split.by:All_cells\",\"Cell:GTCACGGCATACTACG
Exp:1.042
split.by:All_cells\",\"Cell:AAGGCAGTCCGAGCCA
Exp:0
split.by:All_cells\",\"Cell:GGACAGATCCTGCAGG
Exp:0
split.by:All_cells\",\"Cell:GGCAATTGTCCATCCT
Exp:0
split.by:All_cells\",\"Cell:AACTTTCCACTGCCAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTCATGCCG
Exp:0
split.by:All_cells\",\"Cell:ATCACGAGTGCACCAC
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTGACTCAT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTGCGGCA
Exp:0
split.by:All_cells\",\"Cell:GGCGACTCACCAGGTC
Exp:1.152
split.by:All_cells\",\"Cell:GGGACCTAGCTGCCCA
Exp:0.946
split.by:All_cells\",\"Cell:AATCGGTCAAACAACA
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTACATCCA
Exp:0
split.by:All_cells\",\"Cell:CATGGCGAGAGTCTGG
Exp:0.925
split.by:All_cells\",\"Cell:CGTGTAATCGTTGACA
Exp:0
split.by:All_cells\",\"Cell:CGATCGGAGCTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGCACCTAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:AGTGTCACATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:GAACGGACAAGGTGTG
Exp:2.012
split.by:All_cells\",\"Cell:TTGTAGGGTTACGGAG
Exp:0
split.by:All_cells\",\"Cell:AGGGTGAAGGTGCAAC
Exp:0
split.by:All_cells\",\"Cell:CTACACCCAGGGCATA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCGTTATCCGA
Exp:0
split.by:All_cells\",\"Cell:AAGCCGCTCTTGCATT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTCCAGG
Exp:5.419
split.by:All_cells\",\"Cell:AAGTCTGGTCTCCATC
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTGTGTAAGTA
Exp:0
split.by:All_cells\",\"Cell:CGCTATCAGGTGATAT
Exp:0
split.by:All_cells\",\"Cell:AACTCTTAGCTAACAA
Exp:3.24
split.by:All_cells\",\"Cell:GTGTGCGGTAGTACCT
Exp:0
split.by:All_cells\",\"Cell:GGGTCTGCAGCAGTTT
Exp:7.232
split.by:All_cells\",\"Cell:CGTAGGCCAACACCCG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACTCTACCTGC
Exp:0
split.by:All_cells\",\"Cell:CATCGAAAGATGTTAG
Exp:0
split.by:All_cells\",\"Cell:GCAATCACAGCTGCTG
Exp:0
split.by:All_cells\",\"Cell:AACACGTAGTAATCCC
Exp:3.323
split.by:All_cells\",\"Cell:GATCTAGCATCACCCT
Exp:0
split.by:All_cells\",\"Cell:GGCTCGACAGCTTCGG
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAGTTAGAACA
Exp:0
split.by:All_cells\",\"Cell:GAGCAGAAGCCAGTTT
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGGTAAGTAGT
Exp:2.854
split.by:All_cells\",\"Cell:GGACAGAGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGGATATAC
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTATAATGG
Exp:0.872
split.by:All_cells\",\"Cell:CTTCTCTCATGCGCAC
Exp:0
split.by:All_cells\",\"Cell:AGCGTATCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:GTACTCCGTAGCGATG
Exp:0
split.by:All_cells\",\"Cell:CTGTGCTCAGCTCCGA
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCAAGAAGT
Exp:0
split.by:All_cells\",\"Cell:GTCTTCGAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:CGCTGGACACGGTAAG
Exp:0
split.by:All_cells\",\"Cell:CAACCAAAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAAGTGGTAAT
Exp:0
split.by:All_cells\",\"Cell:CGAATGTAGTTCCACA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGACAATCGGTT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTTCCAGTATG
Exp:1.169
split.by:All_cells\",\"Cell:TTCTTAGTCGGCGCTA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGATCTGACCTC
Exp:0
split.by:All_cells\",\"Cell:CCGTACTGTTCCACTC
Exp:0.599
split.by:All_cells\",\"Cell:TAAACCGAGGATGGAA
Exp:0
split.by:All_cells\",\"Cell:CTTACCGCAAAGTCAA
Exp:0.601
split.by:All_cells\",\"Cell:CGGTTAATCGTCTGAA
Exp:0
split.by:All_cells\",\"Cell:CTCGTCATCGGTCTAA
Exp:0.913
split.by:All_cells\",\"Cell:GTTAAGCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAATCTGCA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGCGTCTAT
Exp:0.92
split.by:All_cells\",\"Cell:TGGACGCGTATTCGTG
Exp:0
split.by:All_cells\",\"Cell:CCACGGAAGATCCTGT
Exp:0
split.by:All_cells\",\"Cell:CTGAAGTTCTTTAGGG
Exp:0
split.by:All_cells\",\"Cell:CAGTAACCATGCCTAA
Exp:0
split.by:All_cells\",\"Cell:AGTAGTCAGCGTTCCG
Exp:0.991
split.by:All_cells\",\"Cell:ACGAGCCCACCTTGTC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTGTATATCCG
Exp:0
split.by:All_cells\",\"Cell:ATCATCTAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACGCGTAGACGCACA
Exp:0
split.by:All_cells\",\"Cell:CCTCAGTGTGATAAGT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCCACAAGCCC
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCGGCACA
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGTCTTTACGT
Exp:0
split.by:All_cells\",\"Cell:CATCAGATCATCGCTC
Exp:0
split.by:All_cells\",\"Cell:CTTGGCTCATCCCACT
Exp:2.167
split.by:All_cells\",\"Cell:AGCATACGTCGCGAAA
Exp:7.686
split.by:All_cells\",\"Cell:CTTAACTGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:GTTTCTATCAACGGCC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAGTGACAAAT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCGTTATGTGC
Exp:0
split.by:All_cells\",\"Cell:CCCAGTTAGGTGCTAG
Exp:1.656
split.by:All_cells\",\"Cell:GAATGAACAATCGAAA
Exp:0.772
split.by:All_cells\",\"Cell:CCTACACAGATCCGAG
Exp:0
split.by:All_cells\",\"Cell:GATGCTACAAGCGCTC
Exp:0
split.by:All_cells\",\"Cell:GTTACAGTCTTGAGAC
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGACCTTTG
Exp:0
split.by:All_cells\",\"Cell:GACTACACATATGAGA
Exp:0
split.by:All_cells\",\"Cell:TGTGGTAAGTGGTCCC
Exp:0
split.by:All_cells\",\"Cell:CGTTAGATCAGTCAGT
Exp:0
split.by:All_cells\",\"Cell:GTGCTTCTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:GATGAGGAGAAACCTA
Exp:0
split.by:All_cells\",\"Cell:GAAATGATCTTCAACT
Exp:0
split.by:All_cells\",\"Cell:GCTCCTAGTCGGGTCT
Exp:0
split.by:All_cells\",\"Cell:ATCCACCTCATGCAAC
Exp:0
split.by:All_cells\",\"Cell:CGACCTTCACACAGAG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTACGCACC
Exp:1.289
split.by:All_cells\",\"Cell:GCACTCTTCCGGCACA
Exp:0
split.by:All_cells\",\"Cell:GTACTCCTCTCTTATG
Exp:0
split.by:All_cells\",\"Cell:CACATAGTCATTGCGA
Exp:0.786
split.by:All_cells\",\"Cell:CTGAAACGTATGGTTC
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCAGTCTCAAC
Exp:0
split.by:All_cells\",\"Cell:CCTTTCTTCTTCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTGAAACGTAGCGCAA
Exp:0
split.by:All_cells\",\"Cell:TTGGAACGTCCGTTAA
Exp:0
split.by:All_cells\",\"Cell:CATTATCAGCTCCCAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGTCCATAACCTG
Exp:3.085
split.by:All_cells\",\"Cell:GTGCAGCTCGTTTATC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACCTCAGCGTGAAC
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACCGTTA
Exp:3.313
split.by:All_cells\",\"Cell:CGATTGAAGTTAGCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:GGACGTCCAGTATCTG
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCAGGTCGGAT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGGTCATCT
Exp:0
split.by:All_cells\",\"Cell:CAAGGCCTCGTACCGG
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:GCAAACTTCGGAATCT
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCACGGTGTC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTTGGACCC
Exp:4.949
split.by:All_cells\",\"Cell:CTCGAGGTCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCATCGGAT
Exp:0
split.by:All_cells\",\"Cell:TGGTTAGCAGTCGTGC
Exp:1.205
split.by:All_cells\",\"Cell:CTCTAATAGTTATCGC
Exp:0
split.by:All_cells\",\"Cell:AACTCTTAGCTGCGAA
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCACGAAGG
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTGTAGTGAAT
Exp:0
split.by:All_cells\",\"Cell:GGGTTGCTCCCAGGTG
Exp:0
split.by:All_cells\",\"Cell:ATCCGAACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:TTCTCAATCACTCCTG
Exp:1.152
split.by:All_cells\",\"Cell:ACTGATGTCCCTAACC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTGTCTAAACC
Exp:1.364
split.by:All_cells\",\"Cell:TCGCGAGTCGACGGAA
Exp:0
split.by:All_cells\",\"Cell:AAATGCCAGACTAAGT
Exp:0.615
split.by:All_cells\",\"Cell:TACGGGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:AACTCTTCATTTGCCC
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGTCGCCGTGA
Exp:1.045
split.by:All_cells\",\"Cell:CACATAGAGGGAAACA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGCATCGTCGG
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTGTCCTAGCG
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGCAGTACACT
Exp:0
split.by:All_cells\",\"Cell:TGGTTCCTCAACCATG
Exp:0
split.by:All_cells\",\"Cell:GTGTTAGAGTTTCCTT
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTAGTACTTGC
Exp:0
split.by:All_cells\",\"Cell:CACATTTGTATAGTAG
Exp:0
split.by:All_cells\",\"Cell:GTGCATAAGAATGTTG
Exp:0
split.by:All_cells\",\"Cell:GGACATTAGAAACCAT
Exp:0.754
split.by:All_cells\",\"Cell:TCTCTAAGTGGCAAAC
Exp:0
split.by:All_cells\",\"Cell:ACGATACTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:GAATAAGCACGAAATA
Exp:0
split.by:All_cells\",\"Cell:CATGACACATCCGCGA
Exp:1.373
split.by:All_cells\",\"Cell:ACGGGTCAGGGTGTTG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTTCGGCGCAT
Exp:0
split.by:All_cells\",\"Cell:ACTGTCCGTGCGATAG
Exp:0
split.by:All_cells\",\"Cell:CGTTGGGGTTTAAGCC
Exp:0
split.by:All_cells\",\"Cell:AACTCAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAAGCGTAGATCGATA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGTCACAATGC
Exp:0
split.by:All_cells\",\"Cell:GGGACCTGTCAGCTAT
Exp:0
split.by:All_cells\",\"Cell:ATGCGATAGAAACGAG
Exp:0
split.by:All_cells\",\"Cell:TATGCCCTCTTCCTTC
Exp:0
split.by:All_cells\",\"Cell:CCACCTATCGGAAACG
Exp:0
split.by:All_cells\",\"Cell:CGATGGCCAACTGGCC
Exp:1.586
split.by:All_cells\",\"Cell:CAGCCGAGTAGCCTAT
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTGGTGTAG
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCTCAAACG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCCAAGTAC
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCAGCAACGGT
Exp:0
split.by:All_cells\",\"Cell:CCTACACCATTATCTC
Exp:0.975
split.by:All_cells\",\"Cell:CTGAAACTCTGTTTGT
Exp:0
split.by:All_cells\",\"Cell:CCATGTCTCCGCATAA
Exp:0
split.by:All_cells\",\"Cell:CAGCCGAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGACGGCGTCAGGACA
Exp:1.083
split.by:All_cells\",\"Cell:ACTGATGCACATGACT
Exp:0
split.by:All_cells\",\"Cell:ATCATCTGTAGGACAC
Exp:2.988
split.by:All_cells\",\"Cell:ATCTGCCGTCATATGC
Exp:0
split.by:All_cells\",\"Cell:TACACGAAGATCCCAT
Exp:0
split.by:All_cells\",\"Cell:CATCCACGTTACGACT
Exp:0.789
split.by:All_cells\",\"Cell:AGATCTGCACCAGGTC
Exp:0
split.by:All_cells\",\"Cell:AGCAGCCGTCGAACAG
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCAATCCAAC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTCAATGAAAC
Exp:1.016
split.by:All_cells\",\"Cell:GTGCTTCTCACGACTA
Exp:0
split.by:All_cells\",\"Cell:GATCGTACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGAACAACT
Exp:0
split.by:All_cells\",\"Cell:CTACACCCATCAGTCA
Exp:0
split.by:All_cells\",\"Cell:AACACGTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:CGCTTCATCAGTTCGA
Exp:0
split.by:All_cells\",\"Cell:ATAGACCAGTGATCGG
Exp:0
split.by:All_cells\",\"Cell:GACACGCAGTATGACA
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCCATGATCCA
Exp:0
split.by:All_cells\",\"Cell:CGTCTACTCAGTCCCT
Exp:0
split.by:All_cells\",\"Cell:TTATGCTCACTACAGT
Exp:0
split.by:All_cells\",\"Cell:GATCAGTTCCCGGATG
Exp:0
split.by:All_cells\",\"Cell:GATCTAGGTGCCTTGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGGTCAGATAA
Exp:0.751
split.by:All_cells\",\"Cell:CTCGTACGTTGGTTTG
Exp:0
split.by:All_cells\",\"Cell:TTGGCAATCGAACGGA
Exp:0.652
split.by:All_cells\",\"Cell:CATCGAAGTTACGCGC
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTCAACTGT
Exp:0
split.by:All_cells\",\"Cell:GTCAAGTCAAAGTGCG
Exp:0
split.by:All_cells\",\"Cell:GAAGCAGGTCTAGAGG
Exp:5.828
split.by:All_cells\",\"Cell:CCCAGTTGTGCGCTTG
Exp:0
split.by:All_cells\",\"Cell:ATTCTACGTTTAGGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAATGCACATTTCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCCTGCTTG
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGAGCCCAA
Exp:0
split.by:All_cells\",\"Cell:GTGCAGCGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACGTTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTTCATTCACT
Exp:0
split.by:All_cells\",\"Cell:GATGCTATCCCTCTTT
Exp:0
split.by:All_cells\",\"Cell:TCGCGAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCACGCCAGT
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTTCTGATTCT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTCACGAGGTA
Exp:0
split.by:All_cells\",\"Cell:TCTATTGGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:TCACGAACAGGCGATA
Exp:0
split.by:All_cells\",\"Cell:CGAACATTCACAAACC
Exp:0.49
split.by:All_cells\",\"Cell:TCTATTGTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:ACTTTCAAGACACTAA
Exp:2.984
split.by:All_cells\",\"Cell:GCGAGAAGTGGGTATG
Exp:1.181
split.by:All_cells\",\"Cell:TTCTCAAAGTACGCGA
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGTCTGTTGAG
Exp:0
split.by:All_cells\",\"Cell:ACATACGAGCTATGCT
Exp:0
split.by:All_cells\",\"Cell:ACGATACAGTCATCCA
Exp:6.233
split.by:All_cells\",\"Cell:ACGCAGCGTTCATGGT
Exp:7.114
split.by:All_cells\",\"Cell:TTAACTCCACGAGAGT
Exp:0
split.by:All_cells\",\"Cell:CGGCTAGAGGCACATG
Exp:0
split.by:All_cells\",\"Cell:TGAGCATTCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAATCGCAAACT
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGCATACTCTT
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTCACTGGC
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATATGGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGCGTGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:AACACGTTCCGCGCAA
Exp:0
split.by:All_cells\",\"Cell:CCTTCCCCAAAGTGCG
Exp:0
split.by:All_cells\",\"Cell:GTAACTGAGCCGGTAA
Exp:0.875
split.by:All_cells\",\"Cell:AGCATACCAATGCCAT
Exp:0
split.by:All_cells\",\"Cell:CATCAAGGTGGTCTCG
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTGTCTCGTTC
Exp:0
split.by:All_cells\",\"Cell:CTGATAGAGCTCAACT
Exp:0
split.by:All_cells\",\"Cell:TCTTTCCTCGTCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCTTCGATCTCCAACC
Exp:0
split.by:All_cells\",\"Cell:GAGGTGAGTCCGAGTC
Exp:0
split.by:All_cells\",\"Cell:CGTGTAACATGGTCTA
Exp:0
split.by:All_cells\",\"Cell:GTTCATTAGGGTCTCC
Exp:0
split.by:All_cells\",\"Cell:GCGACCATCACCAGGC
Exp:0
split.by:All_cells\",\"Cell:GTACTTTCATGGTCAT
Exp:0
split.by:All_cells\",\"Cell:TCAGCAAAGCGATGAC
Exp:0
split.by:All_cells\",\"Cell:TCACAAGTCTGGTTCC
Exp:0
split.by:All_cells\",\"Cell:TAGACCATCTTATCTG
Exp:0
split.by:All_cells\",\"Cell:AGACGTTAGCCGATTT
Exp:0
split.by:All_cells\",\"Cell:GAACCTACAGCGATCC
Exp:0
split.by:All_cells\",\"Cell:CCAATCCAGAGTAAGG
Exp:0
split.by:All_cells\",\"Cell:AAACGGGGTACAGTTC
Exp:0
split.by:All_cells\",\"Cell:CAGGTGCGTACAAGTA
Exp:0
split.by:All_cells\",\"Cell:GCTCCTATCTCACATT
Exp:0
split.by:All_cells\",\"Cell:TATCAGGCACCAGTTA
Exp:0
split.by:All_cells\",\"Cell:TGCTACCCATAAGACA
Exp:1.186
split.by:All_cells\",\"Cell:GATTCAGAGTACGTTC
Exp:0
split.by:All_cells\",\"Cell:CGGACTGCATCCCATC
Exp:0
split.by:All_cells\",\"Cell:GCGCCAACACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:AGGTCATTCTGCGTAA
Exp:0
split.by:All_cells\",\"Cell:CTACCCAGTCAAACTC
Exp:0
split.by:All_cells\",\"Cell:TGGCCAGAGCTACCTA
Exp:0.59
split.by:All_cells\",\"Cell:TGTCCCACACGGTAGA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGAGGAATTAC
Exp:3.35
split.by:All_cells\",\"Cell:TACAGTGAGCGTTTAC
Exp:3.851
split.by:All_cells\",\"Cell:CGATTGAAGTCTTGCA
Exp:0
split.by:All_cells\",\"Cell:TTCGGTCGTCACAAGG
Exp:0
split.by:All_cells\",\"Cell:GTCTCGTCACGTGAGA
Exp:0
split.by:All_cells\",\"Cell:CTTCTCTCAGCATACT
Exp:0
split.by:All_cells\",\"Cell:GCTTGAACATTTGCTT
Exp:0
split.by:All_cells\",\"Cell:AGAGCTTGTTAAAGAC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTTCGCTTAGA
Exp:0.701
split.by:All_cells\",\"Cell:GATCAGTAGGTTCCTA
Exp:0
split.by:All_cells\",\"Cell:GTACTTTAGATATGCA
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGTCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:TCAGATGGTAGATTAG
Exp:0
split.by:All_cells\",\"Cell:TGTCCCAAGTTTAGGA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCTCAGTTGAC
Exp:0
split.by:All_cells\",\"Cell:CTAAGACTCACTCCTG
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCTTAGAGC
Exp:0.807
split.by:All_cells\",\"Cell:CACACCTCATTGTGCA
Exp:0
split.by:All_cells\",\"Cell:TTAGGCAGTAGCGTAG
Exp:1.009
split.by:All_cells\",\"Cell:ACTGAACAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCAGATGGGTC
Exp:2.366
split.by:All_cells\",\"Cell:GGAAAGCGTACGCACC
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CCCTCCTGTCTAACGT
Exp:0.984
split.by:All_cells\",\"Cell:TTAGGCAGTGTGAATA
Exp:0
split.by:All_cells\",\"Cell:TCGGTAACAGGGTACA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTCACCGAATT
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTAGGAGTC
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGACGCTTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTGTCTTCAAG
Exp:0
split.by:All_cells\",\"Cell:ATAAGAGTCCACGTTC
Exp:0
split.by:All_cells\",\"Cell:GATCGTAAGTAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGAGGTAAACT
Exp:0
split.by:All_cells\",\"Cell:CACCACTGTCGGCTCA
Exp:0
split.by:All_cells\",\"Cell:ACGAGCCCACTCTGTC
Exp:0
split.by:All_cells\",\"Cell:GCATGTATCACGATGT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACAGATGGGTC
Exp:0
split.by:All_cells\",\"Cell:CGCGTTTGTATTACCG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCAGGTGTTAA
Exp:0
split.by:All_cells\",\"Cell:GCTGCAGCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:CACAGTATCAGAGGTG
Exp:0
split.by:All_cells\",\"Cell:TTCGAAGTCAACGCTA
Exp:0
split.by:All_cells\",\"Cell:TGGACGCAGATTACCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGGTGATGCCC
Exp:0
split.by:All_cells\",\"Cell:ATCATGGTCCAGAGGA
Exp:0
split.by:All_cells\",\"Cell:AGCTTGACAGTAAGAT
Exp:0
split.by:All_cells\",\"Cell:CATCGAAGTAGCGTCC
Exp:0
split.by:All_cells\",\"Cell:TGGACGCTCTTGTTTG
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGGTCACCTAA
Exp:0
split.by:All_cells\",\"Cell:CGTCAGGCAAACGCGA
Exp:2.831
split.by:All_cells\",\"Cell:CGTCACTGTCAGGACA
Exp:0
split.by:All_cells\",\"Cell:GCGACCACACGTTGGC
Exp:0
split.by:All_cells\",\"Cell:CCATGTCGTTTGCATG
Exp:0
split.by:All_cells\",\"Cell:TGCCAAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:AACTCAGAGGTAGCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCCGAGAGAACAG
Exp:0
split.by:All_cells\",\"Cell:CGGAGCTGTTCTGAAC
Exp:0
split.by:All_cells\",\"Cell:CAACTAGAGCTTCGCG
Exp:0
split.by:All_cells\",\"Cell:CGGACTGCAGCCAATT
Exp:1.714
split.by:All_cells\",\"Cell:GACCAATAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:GGACGTCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:AGGTCCGAGTTACCCA
Exp:0.999
split.by:All_cells\",\"Cell:GGAAAGCGTCTTGATG
Exp:0
split.by:All_cells\",\"Cell:CCGGGATGTACCGCTG
Exp:0.641
split.by:All_cells\",\"Cell:CATCCACAGTCACGCC
Exp:0
split.by:All_cells\",\"Cell:CGCTATCCAGGCAGTA
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACACTGTCGG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTTCTCGTATT
Exp:0
split.by:All_cells\",\"Cell:CGGACGTAGACAGACC
Exp:0
split.by:All_cells\",\"Cell:AGTTGGTTCACATAGC
Exp:0
split.by:All_cells\",\"Cell:GTGGGTCGTCCAGTAT
Exp:1.515
split.by:All_cells\",\"Cell:TATGCCCAGGGTATCG
Exp:0
split.by:All_cells\",\"Cell:GGGCATCCATGACATC
Exp:0
split.by:All_cells\",\"Cell:AGAGTGGCACCTCGGA
Exp:0
split.by:All_cells\",\"Cell:ACCCACTTCTGAGGGA
Exp:0
split.by:All_cells\",\"Cell:TATTACCTCGTTGCCT
Exp:0.932
split.by:All_cells\",\"Cell:ACGATGTTCGCAGGCT
Exp:0
split.by:All_cells\",\"Cell:TGACAACTCGCACTCT
Exp:0
split.by:All_cells\",\"Cell:GACGCGTCATTTCAGG
Exp:0
split.by:All_cells\",\"Cell:CATATGGTCAACACAC
Exp:0
split.by:All_cells\",\"Cell:AGTGGGAGTGGTCCGT
Exp:0
split.by:All_cells\",\"Cell:ATTGGTGTCCAGTATG
Exp:0.784
split.by:All_cells\",\"Cell:GATGCTAAGCGATAGC
Exp:0
split.by:All_cells\",\"Cell:GGGCACTTCTAACTGG
Exp:0
split.by:All_cells\",\"Cell:TTCTCAACAGTTTACG
Exp:0
split.by:All_cells\",\"Cell:TCACAAGAGCATGGCA
Exp:0.99
split.by:All_cells\",\"Cell:GGAATAACACGACGAA
Exp:0
split.by:All_cells\",\"Cell:GGGAGATGTTAAAGAC
Exp:5.46
split.by:All_cells\",\"Cell:AACTTTCGTGACCAAG
Exp:0.904
split.by:All_cells\",\"Cell:CGAGAAGCACTTACGA
Exp:0
split.by:All_cells\",\"Cell:AACTCCCAGTACGACG
Exp:0
split.by:All_cells\",\"Cell:CGTTAGAAGTATCTCG
Exp:0
split.by:All_cells\",\"Cell:CCTATTACAAACGTGG
Exp:0
split.by:All_cells\",\"Cell:GCTGCTTAGATCTGCT
Exp:0
split.by:All_cells\",\"Cell:CCATTCGCAAGCCATT
Exp:0
split.by:All_cells\",\"Cell:GTATCTTGTACTCAAC
Exp:0
split.by:All_cells\",\"Cell:TGCTACCCAGGGCATA
Exp:0
split.by:All_cells\",\"Cell:GGAACTTAGGTTACCT
Exp:1.035
split.by:All_cells\",\"Cell:AGATTGCAGCTAGTCT
Exp:0
split.by:All_cells\",\"Cell:TTAGGACGTTCAGTAC
Exp:0
split.by:All_cells\",\"Cell:TGGCGCATCACATAGC
Exp:0
split.by:All_cells\",\"Cell:CTTTGCGAGGAATGGA
Exp:0
split.by:All_cells\",\"Cell:ATTATCCCAACTGCTA
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCAACTGCGC
Exp:0
split.by:All_cells\",\"Cell:AAACGGGCAAAGAATC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTAGTCTCGGC
Exp:0
split.by:All_cells\",\"Cell:TCTGGAAGTCATCGGC
Exp:0
split.by:All_cells\",\"Cell:AAATGCCCACCAACCG
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCGCTTGTC
Exp:0
split.by:All_cells\",\"Cell:GGTGTTACACCTCGGA
Exp:6.15
split.by:All_cells\",\"Cell:CTCGAGGCAAGTCTGT
Exp:0
split.by:All_cells\",\"Cell:CGGACTGTCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:ACCAGTAGTTCGTTGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCATAGTAAG
Exp:0
split.by:All_cells\",\"Cell:TTTGGTTCAAATTGCC
Exp:0
split.by:All_cells\",\"Cell:ATTGGTGGTACTTGAC
Exp:0.906
split.by:All_cells\",\"Cell:GCCTCTAAGAGTTGGC
Exp:0.949
split.by:All_cells\",\"Cell:CGGCTAGGTAACGACG
Exp:0
split.by:All_cells\",\"Cell:AAAGATGAGTCATGCT
Exp:0.938
split.by:All_cells\",\"Cell:GTACTCCCACGTCTCT
Exp:0
split.by:All_cells\",\"Cell:TTGAACGAGGAATCGC
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCGATAGAA
Exp:0
split.by:All_cells\",\"Cell:CTCTAATTCAGCGACC
Exp:0
split.by:All_cells\",\"Cell:TATGCCCAGAACAATC
Exp:1.023
split.by:All_cells\",\"Cell:AACCATGGTTGAACTC
Exp:0
split.by:All_cells\",\"Cell:CAGCATAGTAATAGCA
Exp:0
split.by:All_cells\",\"Cell:AGGGAGTTCCTCAATT
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCTGGCGAC
Exp:1.168
split.by:All_cells\",\"Cell:ATCACGATCACGGTTA
Exp:0
split.by:All_cells\",\"Cell:GAGCAGAGTTTGCATG
Exp:0.722
split.by:All_cells\",\"Cell:TGCACCTAGATAGTCA
Exp:1.147
split.by:All_cells\",\"Cell:CAGCCGAAGTGACTCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCTGGTATG
Exp:0.654
split.by:All_cells\",\"Cell:AGCTCCTAGTACACCT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTAGCGATGAC
Exp:0.562
split.by:All_cells\",\"Cell:TCCACACTCACGATGT
Exp:0
split.by:All_cells\",\"Cell:TCAGATGCACGACGAA
Exp:0
split.by:All_cells\",\"Cell:CAGCTGGGTCTAACGT
Exp:0
split.by:All_cells\",\"Cell:CTCAGAATCAACACTG
Exp:0
split.by:All_cells\",\"Cell:CTTAGGACATCTATGG
Exp:0
split.by:All_cells\",\"Cell:AGAGCGAAGTAGATGT
Exp:1.399
split.by:All_cells\",\"Cell:ATCTACTGTGAACCTT
Exp:0
split.by:All_cells\",\"Cell:CGATGTAGTGGTACAG
Exp:0
split.by:All_cells\",\"Cell:CTAGCCTGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTGAGTGT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTTCGTGACAT
Exp:0
split.by:All_cells\",\"Cell:AGATTGCTCCATGAGT
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAGTACCGAGA
Exp:0.993
split.by:All_cells\",\"Cell:ACTGAGTGTTTCGCTC
Exp:1.02
split.by:All_cells\",\"Cell:AGAGCGATCTCTTGAT
Exp:0
split.by:All_cells\",\"Cell:GAAGCAGTCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:GTCGTAAAGGTGATTA
Exp:0
split.by:All_cells\",\"Cell:CACACTCAGGCGCTCT
Exp:0.998
split.by:All_cells\",\"Cell:TGGGAAGGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CGCGGTACATTAGGCT
Exp:0
split.by:All_cells\",\"Cell:GAATGAAAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:CATGCCTGTTCGTCTC
Exp:0
split.by:All_cells\",\"Cell:CTGGTCTTCGTTACAG
Exp:0
split.by:All_cells\",\"Cell:TCTCTAAAGCTGGAAC
Exp:1.688
split.by:All_cells\",\"Cell:CGGTTAAAGTAGCGGT
Exp:0
split.by:All_cells\",\"Cell:GAACGGAAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CCTTACGCAAGGTGTG
Exp:0
split.by:All_cells\",\"Cell:AGGCCACCACGAAGCA
Exp:6.434
split.by:All_cells\",\"Cell:CAACCTCGTCTAAACC
Exp:0
split.by:All_cells\",\"Cell:AGCGGTCGTACCGAGA
Exp:0
split.by:All_cells\",\"Cell:CTCGTCATCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TGCGTGGCAGTATAAG
Exp:0
split.by:All_cells\",\"Cell:GGCCGATGTCAAACTC
Exp:0.859
split.by:All_cells\",\"Cell:TTCTACAGTGTTGAGG
Exp:0
split.by:All_cells\",\"Cell:AAAGTAGAGCGCCTTG
Exp:0
split.by:All_cells\",\"Cell:GATCGATCAGTCGATT
Exp:0
split.by:All_cells\",\"Cell:TTGGCAACATCATCCC
Exp:6.189
split.by:All_cells\",\"Cell:TTTATGCTCCATTCTA
Exp:1.042
split.by:All_cells\",\"Cell:AACTTTCAGGCATTGG
Exp:0.98
split.by:All_cells\",\"Cell:GCCTCTAGTGACTACT
Exp:0
split.by:All_cells\",\"Cell:ACGGGTCAGATGGCGT
Exp:0
split.by:All_cells\",\"Cell:TACGGTAGTGTGCCTG
Exp:0
split.by:All_cells\",\"Cell:ACTGCTCAGATATGCA
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTTCGTGGGAA
Exp:1.244
split.by:All_cells\",\"Cell:AAGCCGCAGGAGTTGC
Exp:0
split.by:All_cells\",\"Cell:CTGAAACAGGAGTAGA
Exp:1.064
split.by:All_cells\",\"Cell:CATGGCGAGCCCTAAT
Exp:0.973
split.by:All_cells\",\"Cell:ACATGGTCAAGGACTG
Exp:0
split.by:All_cells\",\"Cell:GGCGTGTGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:GACGTGCTCCTCTAGC
Exp:0
split.by:All_cells\",\"Cell:TTAACTCCAAAGAATC
Exp:0
split.by:All_cells\",\"Cell:GCTCTGTAGCCACCTG
Exp:0
split.by:All_cells\",\"Cell:ATGTGTGCATGGGACA
Exp:0
split.by:All_cells\",\"Cell:CGTGAGCTCACAGGCC
Exp:0
split.by:All_cells\",\"Cell:TTGAACGTCATCGATG
Exp:0
split.by:All_cells\",\"Cell:AAGACCTAGGTGTGGT
Exp:0
split.by:All_cells\",\"Cell:TCAGGTACACGGCCAT
Exp:0
split.by:All_cells\",\"Cell:CGTGTAATCCATGCTC
Exp:0
split.by:All_cells\",\"Cell:ACTGATGCATCAGTAC
Exp:0
split.by:All_cells\",\"Cell:GGGATGAAGGGCATGT
Exp:0
split.by:All_cells\",\"Cell:CTCGTACGTTCCGTCT
Exp:0
split.by:All_cells\",\"Cell:ACGAGGACATGGTTGT
Exp:0
split.by:All_cells\",\"Cell:ATCTGCCGTCAGAAGC
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGAGCAATT
Exp:0
split.by:All_cells\",\"Cell:CACACAACACACTGCG
Exp:0
split.by:All_cells\",\"Cell:TAGGCATTCGTTGCCT
Exp:0
split.by:All_cells\",\"Cell:TCTCTAATCAAAGACA
Exp:0
split.by:All_cells\",\"Cell:ACACCCTGTCAGATAA
Exp:0
split.by:All_cells\",\"Cell:AGATCTGTCGATCCCT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCTTGCAAG
Exp:0
split.by:All_cells\",\"Cell:TGACTAGCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTTCTCGCTTG
Exp:0
split.by:All_cells\",\"Cell:CTACGTCAGTCTCGGC
Exp:0
split.by:All_cells\",\"Cell:CATCCACTCTTCTGGC
Exp:0
split.by:All_cells\",\"Cell:TCTCATACAGATCTGT
Exp:0
split.by:All_cells\",\"Cell:CACACCTCACTGCCAG
Exp:0
split.by:All_cells\",\"Cell:CTCGTACCAATGGATA
Exp:0
split.by:All_cells\",\"Cell:ACACCAAAGTAGGCCA
Exp:0
split.by:All_cells\",\"Cell:TACACGAGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:GCTGCGAAGTATTGGA
Exp:0
split.by:All_cells\",\"Cell:AGACGTTTCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CAGAGAGGTGTGAATA
Exp:6.287
split.by:All_cells\",\"Cell:GCACTCTGTCTGCAAT
Exp:0
split.by:All_cells\",\"Cell:TGTGGTACAAGACGTG
Exp:0
split.by:All_cells\",\"Cell:AGGCCGTCACGACGAA
Exp:0
split.by:All_cells\",\"Cell:TATGCCCTCTTACCTA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTCATGTTGAC
Exp:0
split.by:All_cells\",\"Cell:AGTCTTTCACGGACAA
Exp:1.548
split.by:All_cells\",\"Cell:GTCGGGTGTGCAACTT
Exp:0
split.by:All_cells\",\"Cell:TCTGAGATCGTAGGTT
Exp:0
split.by:All_cells\",\"Cell:CGTCTACGTTTCCACC
Exp:0
split.by:All_cells\",\"Cell:CCTAGCTCAGACTCGC
Exp:0
split.by:All_cells\",\"Cell:AGCTCTCAGACATAAC
Exp:0
split.by:All_cells\",\"Cell:CTCGAGGAGTGGAGAA
Exp:0
split.by:All_cells\",\"Cell:CTGATAGTCGGCTACG
Exp:0
split.by:All_cells\",\"Cell:TTGTAGGGTTGTTTGG
Exp:0
split.by:All_cells\",\"Cell:CGAGCACGTCCATCCT
Exp:0
split.by:All_cells\",\"Cell:CATGACAGTCATGCAT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:GACCAATAGAATGTGT
Exp:0
split.by:All_cells\",\"Cell:CAGCGACCATATGGTC
Exp:1.128
split.by:All_cells\",\"Cell:TGCTGCTGTCCGTCAG
Exp:0
split.by:All_cells\",\"Cell:TCAGATGCACTCGACG
Exp:0
split.by:All_cells\",\"Cell:TATCAGGGTCGAATCT
Exp:0
split.by:All_cells\",\"Cell:GGGAATGGTCGGCTCA
Exp:0.847
split.by:All_cells\",\"Cell:TAGTTGGAGTCAAGCG
Exp:0.954
split.by:All_cells\",\"Cell:TACCTATTCGTTACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCACTCAAAGGTGC
Exp:0
split.by:All_cells\",\"Cell:TGAGGGAAGCCGGTAA
Exp:0
split.by:All_cells\",\"Cell:CGTGTCTTCCTTTCGG
Exp:0.593
split.by:All_cells\",\"Cell:TGATTTCAGTGGAGTC
Exp:0
split.by:All_cells\",\"Cell:CTAACTTAGATCACGG
Exp:0
split.by:All_cells\",\"Cell:CATCAGAGTCCGAATT
Exp:1.335
split.by:All_cells\",\"Cell:GAAATGATCGTCCGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTTCCACTCCA
Exp:6.131
split.by:All_cells\",\"Cell:GTTCGGGAGGCAATTA
Exp:1.659
split.by:All_cells\",\"Cell:GCGCCAATCGGACAAG
Exp:0
split.by:All_cells\",\"Cell:AGTGGGATCAACTCTT
Exp:0
split.by:All_cells\",\"Cell:CGACTTCGTTGATTCG
Exp:0
split.by:All_cells\",\"Cell:GATCAGTGTAACGACG
Exp:0
split.by:All_cells\",\"Cell:TGAGCCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TTTGCGCTCTTCCTTC
Exp:7.138
split.by:All_cells\",\"Cell:ACTGATGGTTCCTCCA
Exp:0
split.by:All_cells\",\"Cell:AAGGAGCAGTACATGA
Exp:0
split.by:All_cells\",\"Cell:CAGCTAAAGCGCTTAT
Exp:0
split.by:All_cells\",\"Cell:TACTTACGTGTGGCTC
Exp:0
split.by:All_cells\",\"Cell:ATGCGATTCGCGTAGC
Exp:0
split.by:All_cells\",\"Cell:ATTGGACAGTCAAGGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCAGTCCGCTGTT
Exp:0
split.by:All_cells\",\"Cell:TGCGGGTAGACGCACA
Exp:0
split.by:All_cells\",\"Cell:ATGAGGGGTTCTGGTA
Exp:0
split.by:All_cells\",\"Cell:CGACCTTAGCTGCCCA
Exp:0
split.by:All_cells\",\"Cell:GTAACGTGTGCCTGCA
Exp:1.097
split.by:All_cells\",\"Cell:GCTCTGTAGCTGAACG
Exp:0
split.by:All_cells\",\"Cell:GTATTCTAGGTGCTTT
Exp:0
split.by:All_cells\",\"Cell:TCTGGAATCGGTGTCG
Exp:0
split.by:All_cells\",\"Cell:GACGTTAAGACGCAAC
Exp:0
split.by:All_cells\",\"Cell:AGGCCGTAGAGGACGG
Exp:0.672
split.by:All_cells\",\"Cell:ATGAGGGCAAGGTTTC
Exp:0
split.by:All_cells\",\"Cell:GTGCGGTCAAAGCAAT
Exp:1.222
split.by:All_cells\",\"Cell:CATCGGGTCATTTGGG
Exp:2.378
split.by:All_cells\",\"Cell:ACATACGGTAAACACA
Exp:1.008
split.by:All_cells\",\"Cell:CTGCTGTGTTATCACG
Exp:0
split.by:All_cells\",\"Cell:TAGAGCTAGTGCCATT
Exp:0
split.by:All_cells\",\"Cell:CCACGGAGTCTCTTAT
Exp:0
split.by:All_cells\",\"Cell:CCATTCGCATGAAGTA
Exp:0
split.by:All_cells\",\"Cell:CATTCGCTCTGCTGCT
Exp:0.872
split.by:All_cells\",\"Cell:ACGATGTTCTGCTGCT
Exp:0
split.by:All_cells\",\"Cell:GCGCAGTCACCATCCT
Exp:0
split.by:All_cells\",\"Cell:TAGTTGGGTACCGTAT
Exp:0
split.by:All_cells\",\"Cell:GCGCAACCAACACCTA
Exp:0
split.by:All_cells\",\"Cell:CCAGCGAGTACCGTAT
Exp:0.797
split.by:All_cells\",\"Cell:AGCGTATCATCTCCCA
Exp:0
split.by:All_cells\",\"Cell:AATCGGTTCCAAACTG
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCCATTCTCAT
Exp:0
split.by:All_cells\",\"Cell:GAATGAATCCTGTAGA
Exp:1.277
split.by:All_cells\",\"Cell:GGAAAGCTCTCGGACG
Exp:0
split.by:All_cells\",\"Cell:ACTGATGGTCCGACGT
Exp:0
split.by:All_cells\",\"Cell:GTAACGTCAGCCTATA
Exp:0
split.by:All_cells\",\"Cell:GGGAGATAGCGTTCCG
Exp:0
split.by:All_cells\",\"Cell:TACGGATTCTAACTCT
Exp:0
split.by:All_cells\",\"Cell:GAAATGACATCTACGA
Exp:0.855
split.by:All_cells\",\"Cell:GTGTGCGTCTCTGAGA
Exp:0
split.by:All_cells\",\"Cell:TCTCATAGTTACCAGT
Exp:0
split.by:All_cells\",\"Cell:ACGTCAACACGGTGTC
Exp:1.356
split.by:All_cells\",\"Cell:ACTGATGTCTAGAGTC
Exp:0
split.by:All_cells\",\"Cell:TGTATTCCAATGACCT
Exp:0.598
split.by:All_cells\",\"Cell:AGGGAGTAGCTAGCCC
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGAGCTGGT
Exp:0
split.by:All_cells\",\"Cell:GGCAATTTCCGAATGT
Exp:0
split.by:All_cells\",\"Cell:GATCGTAGTCCTAGCG
Exp:0.701
split.by:All_cells\",\"Cell:TGAGCATCAAGCCGCT
Exp:0
split.by:All_cells\",\"Cell:AACTGGTGTACAGTGG
Exp:0
split.by:All_cells\",\"Cell:TGTGTTTAGCAGGCTA
Exp:0
split.by:All_cells\",\"Cell:CCACTACGTTAAGAAC
Exp:0
split.by:All_cells\",\"Cell:GGAAAGCAGGCATGGT
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCGAGCCCA
Exp:0
split.by:All_cells\",\"Cell:CTCGAAAGTAAAGTCA
Exp:0
split.by:All_cells\",\"Cell:TAAACCGAGTCGTACT
Exp:0
split.by:All_cells\",\"Cell:CTCGGAGTCATCGCTC
Exp:0
split.by:All_cells\",\"Cell:CACCACTCACGAAATA
Exp:0
split.by:All_cells\",\"Cell:CGTAGGCTCGCGCCAA
Exp:0
split.by:All_cells\",\"Cell:TCGCGTTTCTCTGCTG
Exp:0
split.by:All_cells\",\"Cell:GGACAAGTCCGCGGTA
Exp:0
split.by:All_cells\",\"Cell:CGTTCTGAGCCCAGCT
Exp:0
split.by:All_cells\",\"Cell:TCACGAATCCTATGTT
Exp:0
split.by:All_cells\",\"Cell:ACGCAGCGTGGCTCCA
Exp:0
split.by:All_cells\",\"Cell:ACAGCTATCAAGGCTT
Exp:0
split.by:All_cells\",\"Cell:ATAACGCAGCGTGAGT
Exp:0
split.by:All_cells\",\"Cell:ATTCTACTCAGGTAAA
Exp:0
split.by:All_cells\",\"Cell:CTGATCCCAAGCGTAG
Exp:0
split.by:All_cells\",\"Cell:TCTTCGGTCTGGCGTG
Exp:0
split.by:All_cells\",\"Cell:TGCCCTAAGTCCGGTC
Exp:0
split.by:All_cells\",\"Cell:GGGAATGAGGAGCGAG
Exp:0
split.by:All_cells\",\"Cell:CACAGGCTCAAGATCC
Exp:1.194
split.by:All_cells\",\"Cell:ACGAGCCAGTTCGCAT
Exp:0
split.by:All_cells\",\"Cell:GCTGGGTTCGCCATAA
Exp:0
split.by:All_cells\",\"Cell:CCACTACAGAGTACCG
Exp:0
split.by:All_cells\",\"Cell:AGCCTAAAGCCCAACC
Exp:0
split.by:All_cells\",\"Cell:AAGGCAGGTCTAGCCG
Exp:0
split.by:All_cells\",\"Cell:AGTGGGACAGTATCTG
Exp:0
split.by:All_cells\",\"Cell:CAACCAATCGGGAGTA
Exp:0
split.by:All_cells\",\"Cell:TGTCCCATCTTGACGA
Exp:0
split.by:All_cells\",\"Cell:CGTCCATCAGTCGTGC
Exp:0
split.by:All_cells\",\"Cell:GTTTCTAGTCCTCTTG
Exp:0
split.by:All_cells\",\"Cell:GCACATACATTACGAC
Exp:0
split.by:All_cells\",\"Cell:ATGGGAGTCGGTTCGG
Exp:0
split.by:All_cells\",\"Cell:ATAAGAGTCCGAACGC
Exp:0
split.by:All_cells\",\"Cell:ACGCCGAAGCTTCGCG
Exp:0
split.by:All_cells\"],\"type\":\"scatter3d\",\"mode\":\"markers\",\"marker\":{\"color\":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.87627452505493453,0,0,0,0,5.6298344785551917,0,0,3.4318927716865226,0,0,0,0,0,1.2133996752021774,6.8863884030564817,1.3522593762829056,0,0,0,4.7180091753826536,0,0,0,0,0,0,0,0,0,1.4175396885494673,0,0,0,0,1.2080246642368548,0,0.89008556501282066,0,0,0,0,0,0,1.7017070563516157,0,0,0,0,0,0.80830034771650705,1.1225042100928397,0,0,0,0,2.9465555933751828,0,0,0,0,0,0,0,0,1.0773404439212901,0,3.7465893999204338,4.6973766816695575,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.0128594247284151,6.4100702978542996,0,0,0,0,0,0.87139399335249101,0,0.61462791779182424,0,0,0.63022879389110731,0,0,0,0,0,0,0,0,1.5809383714395906,0,0,0,0.95374266355120374,0,0,1.0406888009504409,1.4867512592977243,0.84019947302087228,0,0,1.0022611579964082,0,5.3838662644037614,0.94896309719237015,0,0,0.71159438044482071,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.98543581922139767,0,0,0,0,0,0,0,0,0,6.6284993164500721,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.3939554986947349,0,0,0,0,0,0,0,6.0918725538269625,0,0,0,0,0,0,0,0,0,0,0,4.9206717423143003,7.2157755020672649,0.91428543362499481,0.5877155626392595,0.89742473889890884,0,0,0,0,0,0,0.80699214243868445,0,0.79923561626434947,0,0,0,0,0,0,1.4042984633847209,0,0,0,0,0,0,0,0,0.96931028411198716,0.54993354012258144,7.3272800641773079,0,0,0,1.2128182558075358,0.77071234804779842,0.79104077540998308,0,0,0.94567677673161155,0,0,1.032469395575333,0,0,0,1.021196356378167,0,0,0,0,0,0,0,1.0459286400024403,0,0,0,0,0,0,0,0,0,0,0,0,1.0091889777894387,0,0,0,0,0,0,0,0,0,0,0,3.0322973465941638,1.213649046084377,0,0,0,0,0,0,1.004449284717891,0,0,0,0,0,0,0,0,0,0,0,0.43167864954755164,0,0.93502183238512626,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.84034919194483326,0,0,6.4365381824725763,0,0,0,1.0292210133614934,0,0.84547345851286804,0,0,1.0153225148239047,0,0,0,1.127279729788248,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.0226763629472266,0,1.1173577438413458,0,0,0,0,4.5890672000776895,0,0,0,0.91590090923851564,0.96016336428788329,0,0,1.006427463443158,0,0,1.0421121707289513,0,0,0,0,0,0,0,0,1.1519957492279849,0.94567677673161155,0,0,0.92498815173192594,0,0,0,0,2.0116023783171677,0,0,0,0,0,5.4193729651171694,0,0,0,3.239848146014245,0,7.2316723806817214,0,0,0,0,3.3230885795743523,0,0,0,0,2.8539712990737973,0,0,0.87220339987194351,0,0,0,0,0,0,0,0,0,0,0,1.168999547848254,0,0,0.5993587058508304,0,0.60091734922642137,0,0.91321182887844676,0,0,0.91978492182607452,0,0,0,0,0.99147336914563378,0,0,0,0,0,0,0,0,0,0,2.1665334151719362,7.6856115775337406,0,0,0,0,1.6558038329920262,0.77215033120619725,0,0,0,0,0,0,0,0,0,0,0,0,0,1.2887148540684685,0,0,0.78593496187979373,0,0,0,0,0,0,3.0851433727617685,0,0,0,3.3129269921354418,0,0,0,0,0,0,0,0,0,4.9490396223967199,0,0,1.2053980215623117,0,0,0,0,0,0,1.1515517866236538,0,1.3636296676280373,0,0.61497895397427071,0,0,1.0454499165973181,0,0,0,0,0,0,0,0,0,0.75358655593192048,0,0,0,1.3733478759233073,0,0,0,0,0,0,0,0,0,0,0,1.5856553295390896,0,0,0,0,0,0.97451917011161227,0,0,0,1.0832516085436159,0,2.9878043908630678,0,0,0.78933110441286702,0,0,0,1.0155470764830179,0,0,0,0,0,0,0,0,0,0,0,0,0,0.75103591274236681,0,0.65177749580418498,0,0,0,5.8282565385163707,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.48970311399278116,0,2.9835851249142049,1.1807533782365882,0,0,0,6.2328736171499184,7.1138729807242758,0,0,0,0,0,0,0,0,0,0,0,0.87537541459707802,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.1857815173595507,0,0,0,0,0,0.59028644300949717,0,3.3495515898265613,3.8508929841636514,0,0,0,0,0,0,0.70073255194920192,0,0,0,0,0,0,0,0.80726718314111323,0,1.0087460326577822,0,2.3655768817662874,0,0,0.98365048305765057,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.8309573859626229,0,0,0,0,0,0,0,0,1.7138173987519436,0,0,0.99921505419020895,0,0.64113472037368935,0,0,0,0,0,0,1.5146846114272625,0,0,0,0,0.93221137493966544,0,0,0,0,0,0.7841836641684663,0,0,0,0.99019567208348713,0,5.4601001157450622,0.90384397182861509,0,0,0,0,0,0,0,0,1.0353886390763518,0,0,0,0,0,0,0,0,0,0,0,6.1503206526909384,0,0,0,0,0,0.90612271031731961,0.94886609062671501,0,0.93822906076465018,0,0,0,0,1.0232468372056946,0,0,0,1.1678537109942153,0,0.72150604512001415,1.1468396634338254,0,0.65398554985623958,0,0.56204801505165158,0,0,0,0,0,1.3989899366586993,0,0,0,0,0,0,0.99296852700923943,1.0196076935926301,0,0,0,0.99824019858334512,0,0,0,0,0,1.6880958603864995,0,0,0,6.4342841844280407,0,0,0,0,0.85881378322758406,0,0,0,6.189418374764041,1.0415185850879953,0.98010067069653617,0,0,0,0,1.2435541480171437,0,1.0642326957735531,0.97298089185342818,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6.2870875675840789,0,0,0,0,0,1.547767221842776,0,0,0,0,0,0,0,0,0,0,0,0,1.1279857976487269,0,0,0,0.84714550845394376,0.95423328540303509,0,0,0,0.59309780923218569,0,0,1.3348831839077311,0,6.1307731990250875,1.6588962618979448,0,0,0,0,0,7.1378837650236795,0,0,0,0,0,0,0,0,0,0,1.0968819541488015,0,0,0,0,0.67217738144145867,0,1.2215212745673165,2.3784869580120596,1.0075301025879813,0,0,0,0,0.8715557469389994,0,0,0,0,0.79728743981254224,0,0,0,1.276660057955822,0,0,0,0,0,0.85475728169107568,0,0,1.3556689090117737,0,0.59813988594398526,0,0,0,0.70134685195065383,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.1938945904110732,0,0,0,0,0,0,0,0,0,0,0,0,0,0],\"colorbar\":{\"title\":{\"text\":\"Ghrl\",\"font\":{\"color\":\"black\",\"size\":14}},\"len\":0.5},\"size\":1.5,\"showscale\":true,\"line\":{\"color\":\"rgba(31,119,180,1)\"}},\"name\":\"All_cells\",\"showlegend\":true,\"visible\":true,\"error_y\":{\"color\":\"rgba(31,119,180,1)\"},\"error_x\":{\"color\":\"rgba(31,119,180,1)\"},\"line\":{\"color\":\"rgba(31,119,180,1)\"},\"frame\":null}],\"highlight\":{\"on\":\"plotly_click\",\"persistent\":false,\"dynamic\":false,\"selectize\":false,\"opacityDim\":0.20000000000000001,\"selected\":{\"opacity\":1},\"debounce\":0},\"shinyEvents\":[\"plotly_hover\",\"plotly_click\",\"plotly_selected\",\"plotly_relayout\",\"plotly_brushed\",\"plotly_brushing\",\"plotly_clickannotation\",\"plotly_doubleclick\",\"plotly_deselect\",\"plotly_afterplot\",\"plotly_sunburstclick\"],\"base_url\":\"https://plot.ly\"},\"evals\":[],\"jsHooks\":[]}"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureHeatmap.html","id":null,"dir":"Reference","previous_headings":"","what":"FeatureHeatmap — FeatureHeatmap","title":"FeatureHeatmap — FeatureHeatmap","text":"FeatureHeatmap","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureHeatmap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"FeatureHeatmap — FeatureHeatmap","text":"","code":"FeatureHeatmap(   srt,   features = NULL,   cells = NULL,   group.by = NULL,   split.by = NULL,   within_groups = FALSE,   max_cells = 100,   cell_order = NULL,   border = TRUE,   flip = FALSE,   slot = \"counts\",   assay = NULL,   exp_method = c(\"zscore\", \"raw\", \"fc\", \"log2fc\", \"log1p\"),   legend_title = NULL,   limits = NULL,   lib_normalize = identical(slot, \"counts\"),   libsize = NULL,   feature_split = NULL,   feature_split_by = NULL,   n_split = NULL,   split_order = NULL,   split_method = c(\"kmeans\", \"hclust\", \"mfuzz\"),   decreasing = FALSE,   fuzzification = NULL,   show_fuzzification = FALSE,   cluster_features_by = NULL,   cluster_rows = FALSE,   cluster_columns = FALSE,   cluster_row_slices = FALSE,   cluster_column_slices = FALSE,   show_row_names = FALSE,   show_column_names = FALSE,   row_names_side = ifelse(flip, \"left\", \"right\"),   column_names_side = ifelse(flip, \"bottom\", \"top\"),   row_names_rot = 0,   column_names_rot = 90,   row_title = NULL,   column_title = NULL,   row_title_side = \"left\",   column_title_side = \"top\",   row_title_rot = 0,   column_title_rot = ifelse(flip, 90, 0),   anno_terms = FALSE,   anno_keys = FALSE,   anno_features = FALSE,   terms_width = unit(4, \"in\"),   terms_fontsize = 8,   keys_width = unit(2, \"in\"),   keys_fontsize = c(6, 10),   features_width = unit(2, \"in\"),   features_fontsize = c(6, 10),   IDtype = \"symbol\",   species = \"Homo_sapiens\",   db_update = FALSE,   db_version = \"latest\",   db_combine = FALSE,   convert_species = FALSE,   Ensembl_version = 103,   mirror = NULL,   db = \"GO_BP\",   TERM2GENE = NULL,   TERM2NAME = NULL,   minGSSize = 10,   maxGSSize = 500,   GO_simplify = FALSE,   GO_simplify_cutoff = \"p.adjust < 0.05\",   simplify_method = \"Wang\",   simplify_similarityCutoff = 0.7,   pvalueCutoff = NULL,   padjustCutoff = 0.05,   topTerm = 5,   show_termid = FALSE,   topWord = 20,   min_word_length = 3,   exclude_words = c(\"cell\", \"cellular\", \"dna\", \"rna\", \"protein\", \"development\",     \"involved\", \"organization\", \"system\", \"regulation\", \"positive\", \"negative\",     \"response\", \"process\"),   nlabel = 20,   features_label = NULL,   label_size = 10,   label_color = \"black\",   heatmap_palette = \"RdBu\",   heatmap_palcolor = NULL,   group_palette = \"Paired\",   group_palcolor = NULL,   cell_split_palette = \"simspec\",   cell_split_palcolor = NULL,   feature_split_palette = \"simspec\",   feature_split_palcolor = NULL,   cell_annotation = NULL,   cell_annotation_palette = \"Paired\",   cell_annotation_palcolor = NULL,   cell_annotation_params = list(),   feature_annotation = NULL,   feature_annotation_palette = \"Dark2\",   feature_annotation_palcolor = NULL,   feature_annotation_params = list(),   use_raster = NULL,   raster_device = \"png\",   raster_by_magick = FALSE,   height = NULL,   width = NULL,   units = \"inch\",   seed = 11,   ht_params = list() )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureHeatmap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"FeatureHeatmap — FeatureHeatmap","text":"db_combine","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureHeatmap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"FeatureHeatmap — FeatureHeatmap","text":"","code":"library(dplyr) data(\"pancreas_sub\") pancreas_sub <- RunDEtest(pancreas_sub, group_by = \"CellType\") #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. #> [2023-09-08 15:37:47.699855] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 5 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 15:37:52.017691] DEtest done #> Elapsed time:4.32 secs de_filter <- filter(pancreas_sub@tools$DEtest_CellType$AllMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1) ht1 <- FeatureHeatmap(   srt = pancreas_sub, features = de_filter$gene, group.by = \"CellType\",   split.by = \"Phase\", cell_split_palette = \"Dark2\", ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht1$plot  panel_fix(ht1$plot, height = 4, width = 6, raster = TRUE, dpi = 50)   ht2 <- FeatureHeatmap(   srt = pancreas_sub, features = de_filter$gene, group.by = c(\"CellType\", \"SubCellType\"), n_split = 4,   cluster_rows = TRUE, cluster_row_slices = TRUE, cluster_columns = TRUE, cluster_column_slices = TRUE,   ht_params = list(row_gap = grid::unit(0, \"mm\")) ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> The size of the heatmap will be fixed as some elements are not scalable. ht2$plot   ht3 <- FeatureHeatmap(   srt = pancreas_sub, features = de_filter$gene, feature_split = de_filter$group1, group.by = \"CellType\",   species = \"Mus_musculus\", db = \"GO_BP\", anno_terms = TRUE, anno_keys = TRUE, anno_features = TRUE ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> [2023-09-08 15:38:19.145215] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 15:30:55.528871 #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 15:39:08.609782] Enrichment done #> Elapsed time:49.46 secs #> The size of the heatmap will be fixed as some elements are not scalable. ht3$plot   pancreas_sub <- AnnotateFeatures(pancreas_sub, species = \"Mus_musculus\", db = c(\"TF\", \"CSPA\")) #> Species: Mus_musculus #> Loading cached db: TF version:AnimalTFDB4 nterm:2 created:2023-09-08 15:18:36.351696 #> Loading cached db: CSPA version:CSPA nterm:1 created:2023-09-08 15:18:47.073713 ht4 <- FeatureHeatmap(   srt = pancreas_sub, features = de_filter$gene, n_split = 4, group.by = \"CellType\",   heatmap_palette = \"viridis\",   feature_annotation = c(\"TF\", \"CSPA\"),   feature_annotation_palcolor = list(c(\"gold\", \"steelblue\"), c(\"forestgreen\")),   cell_annotation = c(\"Phase\", \"G2M_score\"), cell_annotation_palette = c(\"Dark2\", \"Purples\") ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> The size of the heatmap will be fixed as some elements are not scalable. ht4$plot   ht5 <- FeatureHeatmap(   srt = pancreas_sub, features = de_filter$gene, n_split = 4, group.by = \"CellType\",   heatmap_palette = \"viridis\",   feature_annotation = c(\"TF\", \"CSPA\"),   feature_annotation_palcolor = list(c(\"gold\", \"steelblue\"), c(\"forestgreen\")),   cell_annotation = c(\"Phase\", \"G2M_score\"), cell_annotation_palette = c(\"Dark2\", \"Purples\"),   flip = TRUE, column_title_rot = 45 ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> The size of the heatmap will be fixed as some elements are not scalable. ht5$plot   pancreas_sub <- RunPAGA(   srt = pancreas_sub, assay_X = \"RNA\", group_by = \"SubCellType\",   linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\", infer_pseudotime = TRUE, root_group = \"Ductal\" ) #> 'misc' slot is not converted. #> 'tools' slot is not converted. ht6 <- FeatureHeatmap(   srt = pancreas_sub, features = de_filter$gene, nlabel = 10,   cell_order = names(sort(pancreas_sub$dpt_pseudotime)),   cell_annotation = c(\"CellType\", \"dpt_pseudotime\"),   cell_annotation_palette = c(\"Paired\", \"cividis\") ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht6$plot"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureStatPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"Statistical plot of features — FeatureStatPlot","title":"Statistical plot of features — FeatureStatPlot","text":"Statistical plot features","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureStatPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Statistical plot of features — FeatureStatPlot","text":"","code":"FeatureStatPlot(   srt,   stat.by,   group.by = NULL,   split.by = NULL,   bg.by = NULL,   fill.by = c(\"group\", \"feature\", \"expression\"),   cells = NULL,   slot = c(\"data\", \"counts\"),   assay = NULL,   keep_empty = FALSE,   individual = FALSE,   plot_type = c(\"violin\", \"box\", \"bar\", \"dot\", \"col\"),   palette = \"Paired\",   palcolor = NULL,   alpha = 1,   bg_palette = \"Paired\",   bg_palcolor = NULL,   bg_apha = 0.2,   add_box = FALSE,   box_color = \"black\",   box_width = 0.1,   box_ptsize = 2,   add_point = FALSE,   pt.color = \"grey30\",   pt.size = NULL,   pt.alpha = 1,   jitter.width = 0.5,   add_trend = FALSE,   trend_color = \"black\",   trend_linewidth = 1,   trend_ptsize = 2,   add_stat = c(\"none\", \"mean\", \"median\"),   stat_color = \"black\",   stat_size = 1,   cells.highlight = NULL,   cols.highlight = \"red\",   sizes.highlight = 1,   alpha.highlight = 1,   calculate_coexp = FALSE,   same.y.lims = FALSE,   y.min = NULL,   y.max = NULL,   y.trans = \"identity\",   y.nbreaks = 5,   sort = FALSE,   stack = FALSE,   flip = FALSE,   comparisons = NULL,   ref_group = NULL,   pairwise_method = \"wilcox.test\",   sig_label = c(\"p.signif\", \"p.format\"),   multiplegroup_comparisons = FALSE,   multiple_method = \"kruskal.test\",   aspect.ratio = NULL,   title = NULL,   subtitle = NULL,   xlab = NULL,   ylab = \"Expression level\",   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE,   force = FALSE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureStatPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Statistical plot of features — FeatureStatPlot","text":"seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FeatureStatPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Statistical plot of features — FeatureStatPlot","text":"","code":"library(dplyr) data(\"pancreas_sub\") FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\")  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\") %>% panel_fix(height = 1, width = 2)  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\", plot_type = \"box\")  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\", plot_type = \"bar\") #> Warning: Computation failed in `stat_summary()` #> Caused by error in `fun.data()`: #> ! The package \"Hmisc\" is required. #> Warning: Computation failed in `stat_summary()` #> Caused by error in `fun.data()`: #> ! The package \"Hmisc\" is required. #> Warning: Computation failed in `stat_summary()` #> Caused by error in `fun.data()`: #> ! The package \"Hmisc\" is required. #> Warning: Computation failed in `stat_summary()` #> Caused by error in `fun.data()`: #> ! The package \"Hmisc\" is required.  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\", plot_type = \"dot\")  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\", plot_type = \"col\")  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\", add_box = TRUE)  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\", add_point = TRUE)  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\", add_trend = TRUE)  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\", split.by = \"Phase\")  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\", split.by = \"Phase\", add_box = TRUE, add_trend = TRUE)  FeatureStatPlot(pancreas_sub, stat.by = c(\"G2M_score\", \"Fev\"), group.by = \"SubCellType\", split.by = \"Phase\", comparisons = TRUE) #> Install package: \"ggpubr\" ... #> 'getOption(\"repos\")' replaces Bioconductor standard repositories, see 'help(\"repositories\", package = \"BiocManager\")' #> for details. #> Replacement repositories: #>     CRAN: https://cloud.r-project.org #> Bioconductor version 3.17 (BiocManager 1.30.22), R 4.3.1 (2023-06-16) #> Installing package(s) 'ggpubr' #> also installing the dependencies ‘corrplot’, ‘ggsci’, ‘polynom’, ‘rstatix’ #> Warning: Detected more than 2 groups. Use multiple_method for comparison #> Warning: Detected more than 2 groups. Use multiple_method for comparison  FeatureStatPlot(pancreas_sub, stat.by = c(\"Rbp4\", \"Pyy\"), group.by = \"SubCellType\", fill.by = \"expression\", palette = \"Blues\", same.y.lims = TRUE)  FeatureStatPlot(pancreas_sub, stat.by = c(\"Rbp4\", \"Pyy\"), group.by = \"SubCellType\", multiplegroup_comparisons = TRUE)  FeatureStatPlot(pancreas_sub, stat.by = c(\"Rbp4\", \"Pyy\"), group.by = \"SubCellType\", comparisons = list(c(\"Alpha\", \"Beta\"), c(\"Alpha\", \"Delta\")))  FeatureStatPlot(pancreas_sub, stat.by = c(\"Rbp4\", \"Pyy\"), group.by = \"SubCellType\", comparisons = list(c(\"Alpha\", \"Beta\"), c(\"Alpha\", \"Delta\")), sig_label = \"p.format\")  FeatureStatPlot(pancreas_sub, stat.by = c(\"Rbp4\", \"Pyy\"), group.by = \"SubCellType\", bg.by = \"CellType\", add_box = TRUE, stack = TRUE)  FeatureStatPlot(pancreas_sub,   stat.by = c(     \"Sox9\", \"Anxa2\", \"Bicc1\", # Ductal     \"Neurog3\", \"Hes6\", # EPs     \"Fev\", \"Neurod1\", # Pre-endocrine     \"Rbp4\", \"Pyy\", # Endocrine     \"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\" # Beta, Alpha, Delta, Epsilon   ),   legend.position = \"top\", legend.direction = \"horizontal\",   group.by = \"SubCellType\", bg.by = \"CellType\", stack = TRUE )  FeatureStatPlot(pancreas_sub,   stat.by = c(     \"Sox9\", \"Anxa2\", \"Bicc1\", # Ductal     \"Neurog3\", \"Hes6\", # EPs     \"Fev\", \"Neurod1\", # Pre-endocrine     \"Rbp4\", \"Pyy\", # Endocrine     \"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\" # Beta, Alpha, Delta, Epsilon   ),   fill.by = \"feature\", plot_type = \"box\",   group.by = \"SubCellType\", bg.by = \"CellType\", stack = TRUE, flip = TRUE ) %>% panel_fix_single(width = 8, height = 5) # Because the plot is made by combining, we want to adjust the overall height and width"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FetchH5.html","id":null,"dir":"Reference","previous_headings":"","what":"Fetch data from the hdf5 file — FetchH5","title":"Fetch data from the hdf5 file — FetchH5","text":"Fetch data hdf5 file","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FetchH5.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fetch data from the hdf5 file — FetchH5","text":"","code":"FetchH5(   DataFile,   MetaFile,   name = NULL,   features = NULL,   slot = NULL,   assay = NULL,   metanames = NULL,   reduction = NULL )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FetchH5.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fetch data from the hdf5 file — FetchH5","text":"reduction","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/FetchH5.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Fetch data from the hdf5 file — FetchH5","text":"","code":"if (FALSE) { data(\"pancreas_sub\") pancreas_sub <- Standard_SCP(pancreas_sub) PrepareSCExplorer(pancreas_sub, base_dir = \"./SCExplorer\") srt <- FetchH5(DataFile = \"./SCExplorer/Data.hdf5\", MetaFile = \"./SCExplorer/Meta.hdf5\", features = c(\"Ins1\", \"Ghrl\"), metanames = c(\"SubCellType\", \"Phase\"), reduction = \"UMAP\") CellDimPlot(srt, group.by = c(\"SubCellType\", \"Phase\"), reduction = \"UMAP\") FeatureDimPlot(srt, features = c(\"Ins1\", \"Ghrl\"), reduction = \"UMAP\") }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GSEAPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"GSEA Plot — GSEAPlot","title":"GSEA Plot — GSEAPlot","text":"GSEA Plot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GSEAPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"GSEA Plot — GSEAPlot","text":"","code":"GSEAPlot(   srt,   db = \"GO_BP\",   group_by = NULL,   test.use = \"wilcox\",   res = NULL,   plot_type = c(\"line\", \"comparison\"),   palette = \"Spectral\",   palcolor = NULL,   group_use = NULL,   id_use = NULL,   pvalueCutoff = NULL,   padjustCutoff = 0.05,   topTerm = 6,   only_pos = FALSE,   compare_only_sig = FALSE,   subplots = 1:3,   rel_heights = c(1.5, 0.5, 1),   rel_width = 3,   linewidth = 1.5,   line_alpha = 1,   line_color = \"#6BB82D\",   n_coregene = 10,   sample_coregene = FALSE,   features_label = NULL,   label.fg = \"black\",   label.bg = \"white\",   label.bg.r = 0.1,   label.size = 4,   aspect.ratio = NULL,   base_size = 12,   character_width = 50,   lineheight = 0.7,   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GSEAPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"GSEA Plot — GSEAPlot","text":"seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GSEAPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"GSEA Plot — GSEAPlot","text":"","code":"library(dplyr) data(\"pancreas_sub\") pancreas_sub <- RunDEtest(pancreas_sub, group_by = \"CellType\", only.pos = FALSE, fc.threshold = 1) #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. #> [2023-09-08 15:42:27.309765] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 5 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 15:49:43.486857] DEtest done #> Elapsed time:7.27 mins pancreas_sub <- RunGSEA(pancreas_sub, group_by = \"CellType\", db = \"GO_BP\", species = \"Mus_musculus\") #> [2023-09-08 15:49:43.492337] Start GSEA #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 15:30:55.528871 #> Permform GSEA... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 15:56:40.140813] GSEA done #> Elapsed time:6.94 mins GSEAPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\")  GSEAPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\", id_use = \"GO:0006412\")  GSEAPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Endocrine\", id_use = c(\"GO:0046903\", \"GO:0015031\", \"GO:0007600\")) %>%   panel_fix_single(width = 5) # Because the plot is made by combining, we want to adjust the overall height and width  GSEAPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", topTerm = 3, plot_type = \"comparison\")  GSEAPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", topTerm = 3, plot_type = \"comparison\", compare_only_sig = TRUE)  GSEAPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", topTerm = 3, plot_type = \"comparison\", pvalueCutoff = 0.05, padjustCutoff = NULL, only_pos = TRUE, compare_only_sig = TRUE)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GeneConvert.html","id":null,"dir":"Reference","previous_headings":"","what":"Gene ID conversion function using biomart — GeneConvert","title":"Gene ID conversion function using biomart — GeneConvert","text":"function can convert different gene ID types within one species bewteen two species using biomart service.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GeneConvert.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Gene ID conversion function using biomart — GeneConvert","text":"","code":"GeneConvert(   geneID,   geneID_from_IDtype = \"symbol\",   geneID_to_IDtype = \"entrez_id\",   species_from = \"Homo_sapiens\",   species_to = NULL,   Ensembl_version = 103,   biomart = NULL,   mirror = NULL,   max_tries = 5 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GeneConvert.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Gene ID conversion function using biomart — GeneConvert","text":"geneID vector geneID character. geneID_from_IDtype ID type geneID. e.g. \"symbol\", \"ensembl_id\", \"entrez_id\" geneID_to_IDtype ID type convert . e.g. \"symbol\", \"ensembl_id\", \"entrez_id\" species_from Latin names animals input geneID. species_to Latin names animals output geneID. e.g. \"Homo_sapiens\",\"Mus_musculus\" Ensembl_version Ensembl database version. NULL, use current release version. biomart BioMart database name want connect . (\"ensembl\", \"protists_mart\", \"fungi_mart\", \"plants_mart\") mirror Specify Ensembl mirror connect . valid options 'www', 'uswest', 'useast', 'asia'. max_tries Number max_tries connect biomart service.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GeneConvert.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Gene ID conversion function using biomart — GeneConvert","text":"list.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GeneConvert.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Gene ID conversion function using biomart — GeneConvert","text":"","code":"res <- GeneConvert(   geneID = c(\"CDK1\", \"MKI67\", \"TOP2A\", \"AURKA\", \"CTCF\"),   geneID_from_IDtype = \"symbol\",   geneID_to_IDtype = \"entrez_id\",   species_from = \"Homo_sapiens\",   species_to = \"Mus_musculus\",   Ensembl_version = 103 ) #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset hsapiens ... #> Connecting to the dataset hsapiens_gene_ensembl ... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 5 genes mapped with ensembl_symbol #> ============================== #> 5 genes mapped #> 0 genes unmapped #> ============================== str(res) #> List of 7 #>  $ geneID_res     :'data.frame':\t5 obs. of  4 variables: #>   ..$ from_IDtype: chr [1:5] \"ensembl_symbol\" \"ensembl_symbol\" \"ensembl_symbol\" \"ensembl_symbol\" ... #>   ..$ from_geneID: chr [1:5] \"CTCF\" \"CDK1\" \"TOP2A\" \"AURKA\" ... #>   ..$ to_IDtype  : chr [1:5] \"entrez_id\" \"entrez_id\" \"entrez_id\" \"entrez_id\" ... #>   ..$ to_geneID  : int [1:5] 13018 12534 21973 20878 17345 #>  $ geneID_collapse:'data.frame':\t5 obs. of  2 variables: #>   ..$ from_geneID: chr [1:5] \"AURKA\" \"CDK1\" \"CTCF\" \"MKI67\" ... #>   ..$ entrez_id  :List of 5 #>   .. ..$ : int 20878 #>   .. ..$ : int 12534 #>   .. ..$ : int 13018 #>   .. ..$ : int 17345 #>   .. ..$ : int 21973 #>   .. ..- attr(*, \"class\")= chr \"AsIs\" #>  $ geneID_expand  :'data.frame':\t5 obs. of  2 variables: #>   ..$ from_geneID: chr [1:5] \"AURKA\" \"CDK1\" \"CTCF\" \"MKI67\" ... #>   ..$ entrez_id  : int [1:5] 20878 12534 13018 17345 21973 #>  $ Ensembl_version: chr \"103\" #>  $ Datasets       :'data.frame':\t202 obs. of  3 variables: #>   ..$ dataset    : 'AsIs' chr [1:202] \"abrachyrhynchus_gene_ensembl\" \"acalliptera_gene_ensembl\" \"acarolinensis_gene_ensembl\" \"acchrysaetos_gene_ensembl\" ... #>   ..$ description: 'AsIs' chr [1:202] \"Pink-footed goose genes (ASM259213v1)\" \"Eastern happy genes (fAstCal1.2)\" \"Anole lizard genes (AnoCar2.0)\" \"Golden eagle genes (bAquChr1.2)\" ... #>   ..$ version    : 'AsIs' chr [1:202] \"ASM259213v1\" \"fAstCal1.2\" \"AnoCar2.0\" \"bAquChr1.2\" ... #>  $ Attributes     :'data.frame':\t3183 obs. of  3 variables: #>   ..$ name       : chr [1:3183] \"ensembl_gene_id\" \"ensembl_gene_id_version\" \"ensembl_transcript_id\" \"ensembl_transcript_id_version\" ... #>   ..$ description: chr [1:3183] \"Gene stable ID\" \"Gene stable ID version\" \"Transcript stable ID\" \"Transcript stable ID version\" ... #>   ..$ page       : chr [1:3183] \"feature_page\" \"feature_page\" \"feature_page\" \"feature_page\" ... #>  $ geneID_unmapped: chr(0)   # Convert the human genes to mouse homologs and replace the raw counts in a Seurat object. data(\"pancreas_sub\") counts <- pancreas_sub@assays$RNA@counts res <- GeneConvert(   geneID = rownames(counts),   geneID_from_IDtype = \"symbol\",   geneID_to_IDtype = \"symbol\",   species_from = \"Mus_musculus\",   species_to = \"Homo_sapiens\",   Ensembl_version = 103 ) #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 15065 genes mapped with ensembl_symbol #> 11 genes mapped with entrez_symbol #> 35 genes mapped with uniprot_symbol #> ============================== #> 15111 genes mapped #> 847 genes unmapped #> ============================== homologs_counts <- counts[res$geneID_expand[, \"from_geneID\"], ] rownames(homologs_counts) <- res$geneID_expand[, \"symbol\"] homologs_counts <- aggregate(homologs_counts, by = list(row.names(homologs_counts)), FUN = sum) rownames(homologs_counts) <- homologs_counts[, 1] homologs_counts <- as(as.matrix(homologs_counts[, -1]), \"dgCMatrix\") homologs_counts #> 13620 x 1000 sparse Matrix of class \"dgCMatrix\" #>   [[ suppressing 52 column names ‘CAGCCGAAGCGATATA’, ‘AGTGTCATCGCCGTGA’, ‘GATGAAAAGTTGTAGA’ ... ]] #>   [[ suppressing 52 column names ‘CAGCCGAAGCGATATA’, ‘AGTGTCATCGCCGTGA’, ‘GATGAAAAGTTGTAGA’ ... ]] #>                                                                                                                                       #> A1CF             .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  . #> A3GALT2          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AAAS             2  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> AACS             .  1   .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  2  .  .  .  .  1  .  .  .  .  . #> AADAC            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AAGAB            .  .   .  .  .  .  .  2  .  2  .  .  1  .  .  .  1  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1 #> AAK1             .  .   .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  . #> AAMDC            .  .   .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  3  .  .  .  1  .  .  .  . #> AAMP             3  5   2  3  2  1  .  1  1  3  .  2  1  .  2  .  2  3  2  3  1  2  .  2  1  .  1  .  3  2  4  .  3  .  2  1  1  6  8 #> AAR2             .  .   1  .  1  .  .  .  .  .  1  .  .  .  .  1  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  . #> AARD             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  4  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  . #> AARS1            .  .   2  1  2  .  1  .  1  .  1  2  .  1  .  5  .  .  1  .  .  1  2  .  .  .  .  .  .  .  1  1  .  .  .  2  .  .  1 #> AARS2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AARSD1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AASDH            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AASDHPPT         .  .   1  3  .  .  .  .  .  1  1  .  .  .  1  1  1  .  .  1  .  1  1  1  1  .  1  .  .  1  1  1  1  .  .  .  1  .  . #> AASS             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AATF             .  2   1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AATK             .  .   .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABAT             1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> ABCA1            .  .   2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  1  .  .  .  .  .  .  .  .  .  .  .  2  1  .  .  .  . #> ABCA12           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCA2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> ABCA3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  . #> ABCA4            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCA5            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCA7            .  .   .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCA8            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCB1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCB10           .  .   .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  2 #> ABCB11           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> ABCB4            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCB6            .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  1  .  .  .  .  .  .  .  1  1  . #> ABCB7            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  1  . #> ABCB8            .  .   .  .  1  .  .  1  .  1  .  .  .  .  1  .  .  .  1  .  .  .  .  1  3  .  .  .  .  .  .  .  .  .  .  .  1  .  . #> ABCB9            .  .   .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  1  1  1  .  .  .  .  .  .  1  .  .  .  .  1  . #> ABCC1            .  .   .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCC10           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCC3            .  .   2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCC4            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCC5            .  .   .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> ABCC8            .  .   .  4  .  .  1  3  .  .  1  .  .  2  .  .  .  .  .  .  .  4  2  3  .  .  .  3 11  4  .  .  .  1  5  5  2  .  1 #> ABCC9            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCD1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCD3            .  .   .  .  .  .  .  1  .  .  .  .  1  1  .  .  .  .  .  1  .  1  .  3  .  .  .  1  1  .  .  .  1  .  .  1  .  1  1 #> ABCD4            .  .   .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCE1            .  1   1  .  .  .  .  .  .  .  .  1  .  1  .  1  .  .  .  .  .  .  .  1  1  .  .  .  .  2  .  1  .  .  1  .  .  .  . #> ABCF1            5  2   3  .  .  .  1  1  1  .  1  1  1  3  .  .  1  2  .  .  .  2  .  .  2  .  .  1  2  .  4  1  2  1  .  .  .  1  . #> ABCF2            .  .   1  1  1  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  1 #> ABCF2-H2BE1      .  .   1  1  1  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  1 #> ABCF3            .  1   .  1  .  .  .  1  .  .  .  .  .  1  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  1  .  . #> ABCG1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  . #> ABCG5            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABCG8            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  . #> ABHD10           .  .   .  1  .  .  .  .  1  .  1  .  .  .  .  1  .  .  1  1  .  1  .  1  .  .  .  1  1  .  1  .  .  .  .  .  .  .  . #> ABHD11           1  .   4  .  3  .  .  .  .  .  .  .  2  .  2  1  .  .  .  .  .  .  .  .  1  .  .  .  .  1  1  .  .  2  .  .  .  1  . #> ABHD12           1  .   .  2  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  1  .  .  .  1  .  .  .  .  .  1  .  .  1  .  .  3 #> ABHD13           .  .   .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  2  1  1  .  .  .  .  .  .  .  . #> ABHD14A          .  .   1  3  1  .  .  .  .  2  .  .  .  1  2  2  .  .  .  1  .  1  1  .  .  .  .  .  .  .  .  .  .  4  .  .  .  2  . #> ABHD14A-ACY1     .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABHD14B          .  .   .  .  1  .  .  1  1  .  .  .  .  2  .  1  1  .  .  1  .  .  .  .  .  .  .  1  .  .  .  1  1  .  .  1  .  .  1 #> ABHD15           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABHD16A          .  .   1  1  1  1  .  1  1  .  .  .  .  .  .  1  .  .  1  2  2  .  .  1  3  .  2  1  .  1  .  1  .  1  1  2  .  .  . #> ABHD17A          1  .   3  1  1  .  .  .  1  1  .  .  1  1  .  2  1  .  .  .  .  .  1  2  .  1  .  1  .  2  1  1  .  .  .  .  1  1  . #> ABHD17B          .  .   1  .  .  .  .  .  .  .  .  1  .  .  1  1  .  .  .  .  .  .  1  1  .  .  .  .  1  2  .  .  .  .  .  1  .  .  1 #> ABHD17C          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1 #> ABHD18           .  .   .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABHD2            .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  . #> ABHD3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ABHD4            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABHD5            .  .   .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> ABHD6            .  1   1  .  .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  1  . #> ABHD8            .  .   .  1  .  .  .  .  1  2  .  .  1  .  .  .  .  .  .  .  .  2  .  1  .  .  .  .  .  .  .  .  1  .  .  1  .  .  2 #> ABI1             .  1   1  .  .  .  .  .  1  .  1  2  .  .  .  .  1  .  .  .  .  1  1  .  .  .  2  .  .  1  1  1  .  .  .  .  1  .  1 #> ABI2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  . #> ABI3             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABL1             .  .   1  .  .  1  .  .  .  1  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  1  . #> ABL2             .  .   .  .  .  .  .  .  1  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABLIM1           1  .   1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ABLIM2           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABLIM3           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABR              .  .   2  .  .  .  .  1  .  .  .  .  2  .  .  .  .  .  1  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  . #> ABRACL           3  .   2  2  1  2  .  1  .  .  2  2  1  .  1  6  1  .  .  .  1  1  .  .  .  1  1  .  1  .  1  1  2  1  1  2  1  1  1 #> ABT1             .  .   1  2  .  1  1  .  .  .  .  1  1  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  . #> ABTB1            .  .   .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  2  .  .  1  .  1  .  1  .  1  .  1  .  1  .  1  .  .  .  . #> ABTB2            1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> AC000120.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC001226.2       2  .   .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1 #> AC002094.3       .  .   .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> AC002310.4       1  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> AC002985.1       .  .   2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC002996.1       .  .   2  .  1  .  .  .  1  .  .  1  .  .  2  1  .  .  1  .  .  .  .  .  .  1  1  .  2  .  1  .  .  .  .  .  .  .  . #> AC003005.1       .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC004076.1       .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC004556.3       2  .   .  .  1  .  .  2  2  .  .  .  1  .  2  .  1  1  1  1  .  .  .  .  1  .  .  .  1  .  .  2  .  .  .  .  .  2  1 #> AC004593.2       .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC004687.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC004691.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC004832.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC004922.1       4  2   3  2  1  1  .  7  2  1  5  3  1  2  4  2  3  .  1  1  1  1  3  6  .  2  2  1  6  1  .  4  3  1  .  2  1  2  3 #> AC004997.1       1  .   .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  1  . #> AC005041.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC005154.5       .  .   2  .  2  .  .  .  2  .  .  .  1  .  .  2  1  .  .  .  .  .  .  1  .  .  .  .  1  .  1  .  .  .  .  .  .  .  . #> AC005192.1       .  .   .  .  .  .  1  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  2 #> AC005324.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC005520.1       1  .   1  1  1  1  .  .  1  1  1  .  .  .  .  .  .  3  .  1  1  .  2  .  1  .  .  .  .  .  .  1  .  .  .  1  .  .  . #> AC005670.2       .  .   1  1  .  .  .  3  .  .  .  .  .  .  .  .  .  1  .  1  .  1  1  1  3  .  .  .  1  1  .  .  .  .  .  .  .  .  1 #> AC005697.1       1  .   .  .  1  .  .  .  .  .  .  .  .  1  2  2  1  .  1  1  .  .  .  .  .  1  .  .  .  .  1  1  1  .  .  .  .  .  1 #> AC005726.1       1  .   .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> AC005943.1       1  1   5  5  4  4  1  6  1  .  2  .  1 12  2  3  7  2  3  4  1  5  1  7  1  2  2  3  6  3  3  2  3  2  5  4  .  1  6 #> AC006030.1       .  1   .  .  .  .  3  .  .  .  2  1  .  1  1  1  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  1  .  .  1  .  .  1 #> AC006059.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC006064.6       2  1   .  3  .  2  2  1  .  1  2  1  1  3  .  1  1  .  .  .  2  2  3  1  1  2  2  .  1  .  1  2  .  .  3  2  2  1  1 #> AC006254.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC007040.2       1  .   2  1  1  1  .  .  2  .  1  1  1  1  1  1  1  1  1  .  .  2  1  .  1  .  2  .  .  .  2  .  .  .  .  1  .  .  . #> AC007192.1       .  .   .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC007325.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC007325.4       1  .   1  1  1  .  .  2  1  3  .  .  .  2  .  2  1  .  2  .  .  .  1  2  .  .  .  1  1  .  .  .  1  1  .  1  2  1  1 #> AC007326.4       1  .   1  1  1  .  .  2  1  3  .  .  .  2  .  2  1  .  2  .  .  .  1  2  .  .  .  1  1  .  .  .  1  1  .  1  2  1  1 #> AC007687.1       7  .   8  2  6  .  .  4  4  3  2  7  3  5  8  3  7  2  1  2  8  7  3  1  4  2  3  2  5  6  3  2  1  2  3  6  3  4  7 #> AC008012.1       2  .   1  .  .  4  .  .  1  .  .  .  .  3  . 10  .  .  .  1  .  .  1  .  .  .  8  3  .  1  .  .  .  .  1  .  .  .  . #> AC008073.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC008397.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC008581.2       .  .   .  1  .  .  .  .  .  2  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  2  .  .  .  1  .  1  .  .  1  .  .  1 #> AC008695.1       .  1   .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  1 #> AC008764.1       .  .   .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC008770.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC009070.1       5  .   4  .  1  .  .  1  .  .  .  1  .  .  .  1  .  1  1  .  1  1  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  1  1 #> AC009690.1       .  .   1  1  1  .  .  2  .  .  .  .  1  1  1  2  3  .  .  .  3  .  .  1  .  .  .  .  1  .  .  .  3  1  .  .  .  .  . #> AC009690.3       .  1   .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  3  .  .  .  . #> AC009779.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC010197.2       1  .   1  .  .  .  1  .  .  .  .  .  .  .  1  4  .  .  2  .  1  .  .  .  .  .  1  .  .  .  7  .  .  .  .  .  .  .  . #> AC010319.2       .  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1 #> AC010323.1       1  .   7  2  3  2  1  7  3  6  1  2  .  3  1  5  3  2  1  1  5  6  3  5  4  2  4  5  5  4  1  7  2  2  6  2  2  1  6 #> AC010422.3       .  .   .  .  .  .  1  1  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  2  .  .  .  1  .  .  .  .  .  .  2  . #> AC010422.5       .  .   .  .  .  .  1  1  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  2  .  .  .  1  .  .  .  .  .  .  2  . #> AC010463.1       .  1   2  2  1  2  2  2  1  .  1  .  .  1  .  1  2  .  1  .  .  1  1  .  .  .  1  1  .  1  .  .  2  1  .  .  .  .  3 #> AC010616.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC011005.1       2  2   8  3  1  2  2  4  4  3  1  1  .  4  6  2  3  1  1  2  1  3  1  2  2  1  2  1  7  3  3  6  4  .  .  2  1  3  1 #> AC011448.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AC011455.2       .  .   .  1  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  1  . #> AC011462.1       1  2   1  2  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  1  1  .  .  .  1  1  1  .  .  1  1  1  3  .  2  1  .  .  2 #> AC011473.4       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC011479.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC011499.1       .  .   .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  2  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  4 #> AC011511.4       2  .   .  .  .  2  1  1  .  .  1  1  .  .  .  1  .  .  1  .  .  .  .  .  .  .  1  .  1  .  .  .  2  1  .  .  .  .  1 #> AC012213.5       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  . #> AC012488.2       .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC013394.1       .  .   .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  1  2  1  .  .  .  .  1  .  1  .  1  .  1 #> AC013477.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  . #> AC013489.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  . #> AC013717.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  1 #> AC015802.6       .  1   .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  1  .  .  .  1  .  .  2  .  1  .  1  2  .  . #> AC016027.6       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC017083.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC018362.3       1  .   1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  1  .  . #> AC019117.1       .  .   .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC020765.6       .  .   .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC020907.6       .  .   .  4  2  1  .  .  5  2  7  6  2  1  1  1  .  1  1  2  4  .  2  2  8  3  1  .  .  3  .  1  4  1  7  2  .  1  . #> AC021087.5       1  .   1  1  .  1  1  2  1  .  .  2  .  1  2  3  1  .  .  1  .  1  4  1  .  .  1  .  1  1  2  .  2  .  2  2  1  1  1 #> AC021660.3       .  1   .  .  2  .  1  1  .  .  .  1  .  2  .  1  .  .  .  .  .  .  .  2  .  .  .  .  1  1  .  .  .  .  .  2  1  .  4 #> AC022384.1       .  .   .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  . #> AC022400.5       .  .   1  .  1  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC022414.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC022826.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC023055.1       .  .   .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  1  .  1  1  1  .  .  .  .  1  .  .  .  .  .  .  .  .  1 #> AC024592.3       6  2   6  6  7  .  2  8  2  2  1  1  1  3  1  3  5  1  6  7  1  5  3  1  1  5  3  2  6  5  1  2  2  .  4  2  3  4  8 #> AC025165.6       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC026464.1       .  .   .  1  .  1  .  .  .  .  .  .  2  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  1  .  .  . #> AC026464.3       .  .   .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  1  . #> AC026464.4       2  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  1  .  1  . #> AC026464.6       .  .   .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  1  . #> AC027644.4       .  .   .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC027796.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC034102.2       6  1   3  1  1  .  1  1  1  .  2  .  .  1  .  4  1  .  1  1  .  .  2  .  .  1  4  2  .  2  .  .  .  .  .  1  .  .  . #> AC034228.3       .  .   .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC036214.3       4  1   4  3  3  3  .  5  2  4  2  5  .  5  .  2  2  .  2  1  .  1  3  .  .  .  2  1  4  8  1  3  2  6  2  4  1  2  4 #> AC037459.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AC048338.1       .  .   .  .  1  .  .  3  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC055811.2       .  .   .  .  .  .  .  1  .  .  1  .  1  .  .  .  .  .  .  .  1  .  .  .  1  .  1  1  .  .  1  .  .  .  .  .  .  .  . #> AC055839.2       .  .   .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC064824.1       .  .   .  .  .  .  1  .  .  1  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC068234.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC068533.4       1  .   1  .  .  1  .  .  .  .  .  .  .  .  2  1  1  .  1  1  .  .  .  .  .  .  .  2  .  1  .  .  .  .  1  1  1  1  1 #> AC068547.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC068580.4       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC068631.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC068831.6       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC068946.2       .  .   .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  1  . #> AC069257.3       .  .   1  1  3  1  1  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  1  1  .  .  2  .  .  .  1  1  1  1  .  .  .  1  . #> AC069503.2       .  2   1  .  .  .  1  .  .  2  1  1  1  1  1  .  1  .  .  .  .  1  .  .  .  .  3  1  .  1  1  .  .  1  1  .  1  3  1 #> AC073508.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC073612.1       .  .   .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  1  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC073896.1      10  .   9  1  3  4  3  7  3  3  1  3  2  3  1  6  4  2  2  2  4  3  4  3  4  3  2  1  5 13  6  8  4  1  6  6  5  5 12 #> AC074143.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC078815.1       .  .   .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  . #> AC078927.1       1  .   .  2  1  2  .  2  .  .  1  .  .  1  1  1  2  .  1  .  .  1  1  2  3  .  2  1  2  4  1  3  .  2  1  2  .  1  1 #> AC079447.1       2  .   1  2  4  1  1  3  2  1  .  .  2  1  1  1  1  .  .  1  2  .  1  2  2  3  2  .  1  3  1  2  1  2  3  1  .  2  3 #> AC079594.1       .  .   1  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> AC083977.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC087721.2       2  .   1  .  .  .  .  .  .  .  .  .  .  .  .  3  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC090004.1       1  .   1  .  1  .  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  . #> AC090227.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> AC090517.4       .  1   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> AC091057.5       .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC091167.2       .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC091167.7       .  .   .  .  .  1  .  .  .  1  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  . #> AC091959.1       1  .   .  1  .  .  .  1  .  1  .  .  1  .  1  .  .  1  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  . #> AC092017.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC092042.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> AC092073.1       .  .   1  .  .  .  2  .  .  .  1  .  1  .  1  .  .  .  .  .  .  .  .  .  1  .  1  1  .  2  .  .  .  .  .  .  .  .  1 #> AC092143.1       .  1   .  1  .  .  4  3  .  2  .  4  2  .  .  .  1  3  .  1  1  6  .  .  8  4  .  .  7  .  .  4  3  .  .  .  .  .  3 #> AC092647.5       3  1   5  .  1  .  .  2  1  2  1  1  .  1  .  5  2  1  1  .  1  .  2  1  2  1  1  1  2  .  3  3  .  3  1  1  .  .  1 #> AC092718.2       1  .   2  .  .  1  .  2  .  1  .  .  2  2  .  1  .  .  .  1  .  1  .  1  .  .  3  1  1  1  3  .  .  .  .  2  .  .  . #> AC092718.7       1  .   2  .  .  1  .  2  .  1  .  .  2  2  .  1  .  .  .  1  .  1  .  1  .  .  3  1  1  1  3  .  .  .  .  2  .  .  . #> AC092835.1       .  .   .  .  .  1  .  .  .  1  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  . #> AC093155.3       .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  1  1  . #> AC093323.1       5  6  12 11  7  2  3  6  6  6  9 11  3  8  2  5 10  5  6 10  6  7 12 11  9  7  3  7 15  1  2  9  7 11  6  4 13  9 10 #> AC093525.1       1  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AC093525.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC093827.5       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC093884.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  . #> AC096887.1       1  .   1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC097634.4       .  1   1  .  1  .  .  .  .  .  .  .  .  2  1  .  .  2  .  .  .  .  1  .  1  .  .  1  .  3  1  .  .  1  1  1  .  .  1 #> AC104389.5       .  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> AC104452.1       .  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  . #> AC104472.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC105052.1       1  1   .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  3  .  .  .  1  1  .  .  1  .  .  .  1  .  1  .  .  .  .  .  .  . #> AC105052.3       3  1   3  .  1  .  .  3  3  2  2  1  .  1  .  3  3  2  2  1  1  1  3  1  .  1  1  .  3  1  3  2  .  4  .  3  2  .  . #> AC106741.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC106873.8       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC106886.5       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC108488.2       1  1   .  1  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AC109583.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC112128.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  . #> AC116366.1       3  .   2  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC117378.1       2  .   1  .  1  .  .  .  .  .  .  .  .  1  1  2  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC117457.1       .  .   .  2  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  . #> AC119674.2       .  .   .  1  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> AC126283.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  . #> AC129492.3       .  1   .  .  .  1  .  .  2  2  1  1  .  .  .  1  .  .  .  3  .  1  2  3  1  1  2  .  2  .  .  1  2  1  2  .  .  .  2 #> AC131160.1       3  .   2  .  .  .  .  1  .  .  1  .  .  1  .  2  1  1  .  .  .  .  .  .  .  1  1  1  .  .  2  2  1  1  .  .  .  1  . #> AC136352.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC136475.9       7  2  14  . 14  7  4  2  3  1  1  1  3  3 17 14  2  6  6  2  4  1  5  1  1 13 12  1  1  4 10 12  .  1  .  2  6  7 16 #> AC136616.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> AC137834.1       1  .   .  .  .  .  .  1  .  1  1  .  .  1  .  .  .  .  .  .  .  .  .  .  2  1  1  1  1  .  1  1  .  .  .  .  .  .  . #> AC138647.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC138696.1       1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC139530.2       1  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> AC140504.1       .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> AC142391.1       .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC243967.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC244197.3       .  .   .  .  .  .  .  2  .  .  1  .  1  1  .  1  1  .  .  1  .  1  .  .  .  4  .  .  .  1  .  .  1  .  .  .  .  .  1 #> AC245033.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC245748.1       .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AC253536.7       1  .   1  1  .  .  .  2  .  .  .  .  .  .  .  3  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  1 #> ACAA1            1  1   4  .  1  1  .  3  .  2  1  1  .  2  2  1  1  3  1  1  1  2  1  1  .  1  1  .  .  2  .  1  1  1  1  1  2  1  1 #> ACAA2            2  .   3  .  .  4  .  1  .  .  .  .  .  .  1  2  1  .  1  .  .  .  .  .  .  1  1  1  .  .  .  1  .  2  .  .  2  2  . #> ACACA            .  .   1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  . #> ACACB            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACAD10           .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACAD11           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACAD8            .  .   .  .  .  1  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  1  .  .  1  . #> ACAD9            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  . #> ACADL            .  .   2  .  2  .  .  .  1  .  .  .  .  .  2  1  1  2  .  1  .  .  .  .  .  .  3  1  .  1  2  .  1  .  .  1  1  2  . #> ACADM            1  .   1  1  2  1  .  .  .  .  .  .  .  1  .  3  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  1  .  1  1 #> ACADS            .  2   .  2  .  1  .  .  .  .  1  .  2  .  1  .  .  .  .  .  1  .  .  1  .  1  .  1  .  1  3  1  .  .  .  1  .  .  . #> ACADSB           .  .   .  1  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  1  2  .  1  .  .  .  1  .  .  .  .  .  1  1 #> ACADVL           2  .   1  3  .  .  1  1  .  1  .  2  .  1  2  2  .  .  1  2  .  .  1  .  2  1  .  .  .  .  .  .  1  1  1  2  2  1  1 #> ACAN             .  .   2  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> ACAP1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACAP2            .  .   .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACAP3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACAT1            3  .   1  1  .  1  .  2  1  2  .  .  .  3  .  2  1  .  .  2  .  .  .  .  1  .  .  2  1  1  .  1  .  .  .  2  .  1  . #> ACAT2            .  .   2  .  1  .  .  .  .  .  1  1  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  1  .  . #> ACBD3            1  .   .  .  1  1  1  .  1  .  .  .  .  2  .  .  1  .  .  .  .  2  1  1  .  .  .  .  .  2  .  .  .  1  .  .  .  .  . #> ACBD4            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACBD5            .  1   1  .  .  .  1  .  2  1  1  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  1  .  .  .  .  .  .  . #> ACBD6            2  .   1  2  .  .  .  1  1  .  1  .  1  .  1  .  .  1  1  1  .  .  1  .  2  1  1  .  .  .  .  3  .  1  1  1  1  .  1 #> ACBD7            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACCS             .  .   .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  . #> ACD              2  1   .  1  .  .  1  2  1  1  .  .  .  .  1  2  .  .  .  1  1  1  .  .  1  1  .  .  .  2  1  .  .  .  .  1  .  .  . #> ACE2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACER2            .  .   3  .  3  .  1  .  .  .  .  .  1  .  .  .  1  1  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  2 #> ACER3            .  .   .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  1  .  . #> ACIN1            3  2   3  .  .  1  .  1  .  .  1  3  2  .  1  1  3  2  1  .  2  .  1  1  2  .  1  2  1  1  1  .  3  1  1  1  2  .  1 #> ACKR3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACLY             .  .   .  2  1  2  2  4  4  .  .  1  4  .  1  1  .  1  1  .  .  3  2  6  .  2  .  3  8  2  2  3  1  1  1  .  2  .  4 #> ACO1             .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  . #> ACO2             2  2   1  1  2  3  1  5  3  3  .  .  1  .  1  1  2  1  1  2  2  1  1  .  .  2  2  1  6  1  3  1  2  1  1  1  1  .  3 #> ACOT1            2  .   5  .  1  6  1  .  .  2  .  1  .  .  6  3  1  .  4  .  .  .  1  .  1  1  5  .  1  .  2  5  .  .  .  .  .  3  . #> ACOT11           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  2  .  . #> ACOT12           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACOT13           2  .   .  1  1  1  .  1  .  .  1  .  .  1  .  2  1  .  .  .  .  .  1  1  1  .  .  1  2  .  1  .  2  3  3  2  .  1  . #> ACOT2            2  .   5  .  1  6  1  .  .  2  .  1  .  .  6  3  1  .  4  .  .  .  1  .  1  1  5  .  1  .  2  5  .  .  .  .  .  3  . #> ACOT4            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACOT6            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACOT7            1  .   1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  . #> ACOT8            1  1   .  .  .  .  1  .  .  .  .  1  .  .  2  1  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  1  1  1  .  .  . #> ACOT9            .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> ACOX1            .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  1  1  .  . #> ACOX2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACOX3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACOXL            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACP2             .  1   1  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  1  3  .  .  1  .  1  1  .  .  . #> ACP3             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACP5             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ACP6             1  .   .  .  .  .  .  .  .  2  .  .  .  1  1  1  .  .  1  .  .  .  .  .  .  .  1  .  1  .  .  .  1  .  .  1  .  1  . #> ACRBP            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACSBG1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACSF2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  . #> ACSF3            .  .   2  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  1  .  .  .  .  .  2  .  1  1 #> ACSL1            1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  . #> ACSL3            .  .   .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  . #> ACSL4            .  1   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  1  .  .  .  .  .  . #> ACSL5            3  1   3  .  1  1  1  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  . #> ACSL6            .  .   .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACSM3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACSS3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACTA1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACTA2            .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACTB            16 11 154  4 10 17  6 12 19  7  5 15 20 19 27 37 14 10 15  7 24  4  6  4 18 11 32 15 14  3 24 21 13  9  3 11 13  8 16 #> ACTC1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACTG1           11 22  23  1 12 20 20  6  8 19 25 13 22  5 26 36 18 16  4  4 19  8 22  3 24 20  7 10  9  1 10 34 26 14  7 12  9 17 14 #> ACTL10           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACTL6A           1  .   .  .  1  .  1  3  .  .  .  .  .  .  .  2  .  .  1  2  .  .  .  .  .  .  1  .  1  .  .  .  2  .  .  1  2  .  . #> ACTL6B           .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACTN1            2  .   1  .  .  1  .  1  .  1  1  .  .  .  1  3  .  .  .  .  .  .  .  .  2  .  1  1  .  .  .  .  .  .  .  .  1  .  . #> ACTN3            .  .   .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  1  .  .  1  .  .  1  .  .  .  .  .  .  . #> ACTN4            5  .   1  2  .  1  .  1  .  .  .  2  .  .  2  3  1  .  .  .  .  .  1  2  .  2  2  1  .  .  1  2  1  1  .  .  1  3  1 #> ACTR10           .  1   3  .  .  1  .  2  1  .  1  3  .  .  1  .  1  .  1  2  .  .  1  2  1  .  .  2  2  2  .  .  .  .  .  .  2  1  1 #> ACTR1A           .  1   1  1  .  .  3  .  2  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  2  .  .  .  .  .  1  .  .  2  .  1  1  1  2 #> ACTR1B           1  .   2  2  1  .  1  2  1  2  .  .  2  1  .  .  1  .  .  .  1  1  .  1  1  .  .  .  1  1  .  1  .  .  .  3  1  .  . #> ACTR2            1  .   1  .  .  .  1  1  .  1  .  .  2  3  .  2  .  .  .  .  .  2  1  1  .  1  .  .  1  .  .  2  .  .  .  2  .  .  . #> ACTR3            .  4   1  2  2  .  1  .  1  1  1  1  .  2  .  4  1  1  1  2  2  .  4  1  .  .  .  2  1  3  .  5  3  3  2  1  1  4  . #> ACTR3B           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  . #> ACTR3C           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  . #> ACTR5            .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  . #> ACTR6            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  . #> ACTR8            .  .   .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  1  .  1  2  1  .  . #> ACTRT3           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACVR1B           .  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1 #> ACVR1C           .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> ACVR2A           .  .   1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  . #> ACVR2B           .  .   1  .  .  1  1  .  .  .  .  .  .  .  .  1  .  3  .  .  .  1  .  .  .  .  .  .  .  1  .  .  1  .  1  .  2  .  1 #> ACVRL1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACY1             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ACY3             .  .   .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  . #> ACYP1            2  .   1  .  1  .  .  2  .  .  .  1  1  .  2  3  .  .  .  .  1  1  .  1  .  .  1  2  1  .  .  1  .  .  .  .  .  2  1 #> ACYP2            .  .   .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  1 #> AD000671.1       4  .   4  2  1  .  1  3  2  1  2  .  1  1  3  1  2  1  1  .  1  3  2  1  1  1  2  1  3  7  1  2  3  .  .  4  .  .  . #> ADA              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAL             .  .   .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAM10           .  .   .  .  2  .  .  .  1  .  .  1  .  1  .  .  .  1  1  .  .  1  1  1  1  .  .  1  .  .  1  1  1  .  1  .  .  .  . #> ADAM11           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> ADAM12           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAM15           1  .   .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> ADAM17           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  . #> ADAM21           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAM22           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAM23           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1 #> ADAM30           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAM32           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAM8            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAM9            .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS1          5  .   4  .  1  1  .  .  .  .  .  .  .  .  4  4  .  .  1  .  .  .  .  .  .  .  5  1  .  .  6  .  .  .  .  .  .  1  . #> ADAMTS10         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS13         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS15         .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS16         1  .   2  .  2  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  . #> ADAMTS17         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS18         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS19         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS2          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS5          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  . #> ADAMTS6          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS7          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS8          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTS9          2  .   .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTSL1         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTSL2         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTSL4         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAMTSL5         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAP1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAP2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAR             .  .   .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  . #> ADARB1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAT1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADAT2            .  .   .  .  .  1  .  .  .  .  .  .  .  .  1  .  1  .  .  1  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  . #> ADCK1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADCK2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADCK5            .  .   .  .  .  .  1  .  .  1  .  .  .  .  .  2  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  1  .  1 #> ADCY1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADCY2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADCY3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADCY5            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  . #> ADCY6            1  .   .  .  .  2  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  . #> ADCY8            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADCY9            .  .   .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADCYAP1R1        .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADD1             .  .   1  1  2  .  .  1  .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  2 #> ADD2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADD3             .  .   2  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGB             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRA1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRA2           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRA3           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  . #> ADGRB1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRB3           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRE5           .  .   .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRF5           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRG1           1  .   1  1  .  .  4  1  1  .  2  1  .  1  2  1  .  .  1  3  .  .  .  1  2  .  .  .  .  2  .  .  .  .  .  .  1  1  1 #> ADGRG2           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRG3           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRG6           .  .   3  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRL1           .  .   .  1  .  .  .  1  1  .  .  .  .  1  .  .  1  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1 #> ADGRL2           1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRL3           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADGRV1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADH1A            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADH1B            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADH1C            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADH5             1  1   2  .  2  1  .  1  .  .  .  1  2  .  .  1  1  2  1  .  2  1  1  .  2  .  3  1  1  .  2  2  1  .  .  1  2  1  1 #> ADH7             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADI1             .  .   .  .  .  1  .  1  1  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  1  .  .  1  .  .  1  .  .  .  .  .  . #> ADIPOR1          2  1   2  .  3  .  .  1  .  1  .  .  1  2  1  1  1  .  2  .  2  2  .  1  5  .  .  1  2  1  1  1  .  1  .  1  1  1  3 #> ADIPOR2          1  1   .  .  .  .  .  .  .  .  .  .  1  1  .  .  1  .  .  1  .  .  .  .  .  .  1  .  1  .  .  .  1  .  .  .  .  .  . #> ADK              1  .   2  .  2  .  .  .  .  .  .  .  .  .  2  4  1  .  2  .  .  .  1  1  .  .  .  .  1  .  2  1  1  .  .  .  .  1  . #> ADM              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADM2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADNP2            .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADO              .  .   .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  1  .  .  .  .  2  .  1  1  .  .  .  .  .  .  1  . #> ADORA1           .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ADORA2A          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> ADORA2B          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADPGK            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  . #> ADPRH            .  1   .  .  .  .  1  2  1  .  1  1  .  1  2  3  1  .  .  2  .  2  2  .  .  .  2  1  .  .  .  1  .  1  1  .  2  1  . #> ADPRM            .  .   .  .  1  .  .  1  .  .  .  .  .  .  .  1  .  .  1  .  .  .  1  .  .  .  .  .  2  1  .  .  1  .  .  .  .  .  . #> ADRA2A           .  .   .  .  .  .  .  3  .  .  2  .  .  .  .  .  .  .  .  .  .  1  .  2  .  .  .  .  2  .  .  .  .  2  .  .  .  .  4 #> ADRA2C           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADRB1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  . #> ADRB2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  . #> ADRM1            3  1   3  .  3  1  3  4  .  2  3  .  .  1  1  1  1  1  1  .  .  2  1  1  1  2  1  1  2  1  3  2  2  .  .  3  2  2  5 #> ADSL             1  1   1  1  1  1  .  .  .  .  .  .  .  1  .  1  .  1  1  .  .  2  .  .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  . #> ADSS1            2  .   .  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ADSS2            .  1   .  1  .  1  1  .  .  .  1  1  .  .  1  3  2  .  1  .  .  .  .  .  .  1  1  .  1  .  1  .  1  .  .  .  .  1  . #> AEBP1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AEBP2            .  .   .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AEN              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AF196969.1       1  1   1  .  .  .  .  .  .  .  .  1  .  .  1  .  1  .  1  .  .  .  2  1  .  .  .  .  .  1  2  1  1  .  .  1  1  .  . #> AF241726.1       1  2   1  6  1  .  1  7  5  3  4  .  1  1  .  .  4  .  .  .  1  4  1  5  .  .  1  7  9  4  .  .  3  1  .  4  1  .  3 #> AFAP1            .  .   .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  . #> AFAP1L1          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  . #> AFAP1L2          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AFF1             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AFF2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AFF3             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AFF4             .  .   1  .  1  .  1  1  1  .  .  .  .  .  .  .  .  .  .  .  .  2  1  .  .  1  .  1  2  .  1  .  .  .  1  .  .  1  1 #> AFG3L2           .  .   1  .  1  .  .  .  1  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  . #> AFM              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AFP              .  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AFTPH            .  .   .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  2  .  .  .  .  1  .  .  .  .  .  . #> AGA              .  .   .  .  .  1  1  .  1  .  1  .  .  1  1  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  2  .  .  1  1  .  .  . #> AGAP1            1  .   .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  1  .  .  2  .  .  .  . #> AGAP3            .  .   .  .  .  .  .  1  1  .  1  2  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  2  .  .  .  .  1  .  2 #> AGBL3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGBL4            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGBL5            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  1 #> AGER             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGFG1            .  .   .  2  .  .  .  1  1  1  .  .  .  1  1  .  .  .  .  .  .  .  .  1  .  .  .  2  1  .  .  .  1  .  1  .  2  .  3 #> AGFG2            .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGGF1            .  .   .  1  .  .  .  .  .  2  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  2  .  .  .  1  .  1  .  .  1  .  .  1 #> AGK              1  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  . #> AGL              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  . #> AGMAT            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGMO             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGO1             .  .   1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGO2             .  .   .  .  .  .  1  .  .  .  1  .  2  3  1  1  .  1  .  1  1  .  .  .  1  .  .  .  .  1  .  .  .  1  .  .  1  .  3 #> AGO3             .  .   .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGO4             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  . #> AGPAT1           1  .   .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  1  .  .  1  1  1  1  .  .  .  .  .  .  .  . #> AGPAT2           1  .   .  .  3  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  1  1  .  .  .  1  .  .  .  .  . #> AGPAT3           1  1   .  .  .  .  .  2  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  . #> AGPAT4           .  .   .  .  .  1  .  .  .  .  .  .  .  .  2  .  1  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  . #> AGPAT5           .  .   1  .  .  .  1  2  .  .  .  .  1  .  .  .  1  1  .  1  .  .  .  2  .  .  .  .  1  .  .  .  1  .  .  .  .  1  1 #> AGPS             .  .   .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGR2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> AGRN             1  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> AGRP             1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGT              .  .   .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  2  .  .  .  .  2  .  .  .  .  .  .  1 #> AGTPBP1          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AGTR1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> AGTRAP           .  1   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  3  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  . #> AGXT             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AHCTF1           .  .   .  .  .  .  .  .  1  .  .  .  2  .  .  2  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  . #> AHCY             1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AHCYL1           1  .   2  .  1  .  .  1  .  .  .  .  .  .  .  .  .  1  1  .  .  1  1  .  1  .  1  .  2  1  .  .  .  .  1  .  .  1  2 #> AHCYL2           .  .   .  1  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  1  .  .  .  .  1  .  .  .  . #> AHDC1            1  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AHI1             .  .   .  1  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  1  1  .  .  1  .  .  1  1  .  .  .  .  .  .  2  .  .  . #> AHNAK            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AHNAK2           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AHR              .  .   .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AHSA1            4  .   2  4  1  1  .  .  4  .  .  2  1  2  2  5  .  2  1  2  1  .  3  .  2  1  1  .  .  3  1  .  6  .  2  3  1  .  . #> AHSG             .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AIDA             .  .   .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  1  .  .  .  .  .  .  1  .  .  . #> AIF1             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AIF1L            2  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AIFM1            1  .   1  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  2  .  .  1  .  .  .  .  .  .  1  1  .  .  1  .  . #> AIFM2            .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  . #> AIFM3            1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> AIG1             .  .   1  2  1  .  .  1  .  .  .  .  1  .  2  .  .  .  .  .  .  .  1  .  .  .  1  .  1  2  5  .  .  .  .  1  .  1  . #> AIMP1            1  1   3  .  4  .  2  1  2  2  1  .  1  1  1  1  2  1  .  1  1  .  1  1  1  .  1  3  3  .  2  1  1  .  .  1  .  1  4 #> AIMP2            .  .   4  .  .  .  .  1  .  .  .  .  .  1  2  .  .  .  .  .  .  .  1  .  .  .  .  2  .  .  .  .  1  .  .  .  .  3  . #> AIP              1  .   2  2  1  .  .  .  1  .  1  .  1  1  1  .  2  .  1  .  2  .  .  1  1  .  2  1  2  3  1  .  .  .  .  1  1  1  . #> AIPL1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AIRE             .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AJAP1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AJUBA            .  .   1  .  .  1  .  .  .  .  .  .  .  .  2  1  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  . #> AK1              .  .   .  .  .  1  .  1  .  .  .  .  .  1  1  1  .  .  .  1  1  .  1  1  .  .  .  .  .  .  1  .  .  1  .  1  .  .  3 #> AK2              3  .   5  .  1  .  1  1  1  1  .  1  .  .  1  3  .  1  2  .  .  1  1  1  .  .  2  1  1  .  2  .  1  .  .  2  .  1  . #> AK3              .  .   1  1  .  .  1  .  .  .  .  1  .  1  .  1  1  1  .  .  2  .  .  1  .  .  .  .  .  1  1  .  .  .  .  .  .  .  1 #> AK4              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AK5              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AK7              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AK8              .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AKAP1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  1 #> AKAP10           .  .   .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AKAP11           1  .   .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  1  1  .  2  .  .  1  .  2  .  .  .  1  .  .  .  .  .  1 #> AKAP12           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AKAP13           .  .   1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  . #> AKAP5            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AKAP7            .  .   2  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> AKAP8            .  1   1  1  .  .  .  1  .  1  .  .  .  .  .  .  .  2  .  .  .  2  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  1  2 #> AKAP8L           1  .   1  .  .  1  .  2  .  1  .  .  .  1  .  .  .  1  .  .  .  1  1  .  .  .  .  3  .  2  .  1  2  2  .  .  1  .  . #> AKAP9            1  1   .  .  .  .  3  .  1  1  .  .  2  3  1  2  .  1  1  4  .  3  .  .  1  2  3  1  1  1  1  1  .  1  .  4  2  .  1 #> AKIP1            1  .   .  .  1  1  .  .  .  .  .  .  .  1  .  1  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AKIRIN1          .  1   1  1  1  .  .  2  3  2  1  .  1  1  .  1  3  .  .  1  .  1  .  .  .  1  1  1  3  .  .  .  1  .  .  .  .  .  . #> AKIRIN2          .  1   3  .  1  3  3  3  2  3  3  .  2  1  1  1  .  2  3  .  .  .  2  1  1  1  .  2  1  1  2  .  1  1  .  3  1  1  2 #> AKNA             .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AKR1A1           8  5   7  4  9  7  3  9  7  2  3  5  8  4  3  8  3  1  6  5  4  4  6  2  3  5  5  1  4  5  6  7  4  4  3  5  5  5  6 #> AKR1B1           .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  . #> AKR1B10          1  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  . #> AKR1E2           .  1   1  .  .  .  .  .  .  .  .  .  1  1  .  3  .  .  .  .  .  .  1  .  .  .  .  .  1  3  1  .  1  1  .  1  .  .  1 #> AKR7L            1  1   1  .  1  1  1  3  1  3  1  1  .  2  4  2  .  2  .  1  .  .  1  .  1  .  1  2  1  1  1  2  .  1  2  .  .  2  1 #> AKT1             .  .   1  2  1  .  .  .  2  .  .  .  1  .  .  .  .  1  1  .  .  .  .  .  1  1  .  .  2  1  1  1  2  1  .  .  1  .  1 #> AKT1S1           3  1   3  .  1  1  1  3  1  1  1  1  3  .  .  .  .  1  .  1  1  3  .  2  3  1  1  .  3  .  1  .  2  2  1  2  2  .  . #> AKT2             .  .   .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AKT3             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AKTIP            .  .   .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  . #> AL033529.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL035461.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL049629.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  3  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL049634.2       .  .   .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> AL049697.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL049779.1       .  .   .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  1  . #> AL049844.3       .  .   .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1 #> AL096711.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL110118.1       .  .   1  .  .  .  1  1  .  1  1  .  1  .  .  1  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  1  .  .  .  .  .  .  . #> AL117348.2       .  1   2  2  2  1  .  5  1  2  1  .  2  2  1  .  2  2  .  2  2  4  3  3  .  2  .  1  3  3  1  1  3  2  4  7  1  .  2 #> AL132671.2       .  .   .  2  .  .  .  .  .  .  .  1  1  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  1 #> AL132780.3       .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  3  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL133352.1       6  .  12  9  2  1  1  8  3  2  4  3  1  2  3  7  8  1  3  2  2  3  1  3  3  .  2  2  8  4  3  2  1  2  4  7  2  5  4 #> AL133500.1       .  .   .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  . #> AL136295.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL136295.3       .  1   2  .  1  .  1  .  .  1  .  .  .  .  .  1  .  .  1  2  .  1  .  2  .  .  .  .  .  1  .  .  .  1  .  1  .  1  . #> AL136295.4       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL136295.5       .  .   .  .  .  .  .  .  .  .  1  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AL138752.2       .  .   1  1  .  1  .  .  .  .  .  .  .  .  1  1  .  1  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AL139142.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL139260.3       .  1   .  3  .  .  .  2  1  .  2  .  1  2  2  1  1  1  1  .  1  2  .  .  .  .  .  .  1  .  .  .  .  1  1  .  .  .  . #> AL157392.5       .  .   .  .  .  .  1  .  .  .  .  .  .  2  .  1  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AL157935.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL159163.1       2  .   .  .  3  2  1  1  2  .  .  2  1  1  2  1  .  .  .  .  .  4  2  1  .  1  .  3  3  2  1  4  .  .  3  1  .  .  . #> AL160269.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL162231.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  2  .  .  .  .  .  .  .  .  .  .  .  1  1  3  1  .  .  .  .  1  1 #> AL162417.1       .  .   .  1  .  .  .  2  .  .  1  .  1  1  1  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  2  1  1  .  .  .  . #> AL162596.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL353671.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL355312.5       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL355315.1       .  .   1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1 #> AL355916.3       .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL357075.4       .  .   .  .  .  1  1  1  .  .  .  .  2  .  .  .  4  .  .  .  1  .  .  .  1  1  1  .  .  .  .  1  .  .  .  .  .  1  . #> AL357673.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL358113.1       .  .   1  .  .  .  .  .  .  .  .  .  .  .  1  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL358472.6       .  .   1  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  3  . #> AL358472.7       2  .   1  1  1  3  .  4  3  1  .  1  1  1  .  4  .  .  .  1  .  .  3  2  1  .  1  1  1  2  1  .  .  .  .  2  .  2  1 #> AL359736.1       1  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  1 #> AL360181.3       .  .   .  .  .  1  .  1  .  .  .  .  .  .  1  2  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  . #> AL365205.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL391628.1       .  .   1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  . #> AL445524.2       .  .   .  .  .  .  .  1  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  1  .  .  2  .  .  .  1  .  .  .  1  .  .  .  . #> AL445685.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL451062.2       .  .   .  .  .  .  1  .  .  .  1  .  .  1  .  .  .  1  1  .  .  .  1  .  .  .  .  .  .  1  .  .  1  1  .  .  .  .  . #> AL451136.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL512506.3       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL512785.2       1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL590132.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL592183.1       .  .   .  .  1  1  2  .  1  1  1  1  1  1  2  2  2  .  1  2  .  .  .  1  .  .  .  .  .  1  1  1  .  .  1  .  .  .  . #> AL603832.3       2  .   .  .  .  2  .  .  1  1  4  .  .  .  2  1  .  .  .  .  1  .  .  1  2  .  1  .  2  .  1  .  2  .  1  2  .  .  . #> AL645941.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL662899.1       .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  . #> AL662899.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL669918.1       .  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1 #> AL807752.7       1  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL845331.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AL928654.3       1  .   1  .  .  1  .  .  .  .  .  .  .  6  .  5  .  .  .  .  .  .  .  .  .  .  .  .  1  1  1  .  .  .  .  .  .  1  . #> ALAD             2  .   2  1  .  2  .  1  .  .  1  .  .  .  1  2  .  .  2  .  .  .  .  1  .  .  .  2  1  1  .  .  .  1  .  1  .  .  . #> ALAS1            .  .   .  .  .  .  1  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  1 #> ALB              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALCAM            .  1   .  1  1  .  .  .  .  .  .  1  1  1  .  .  1  .  .  1  1  .  3  1  .  .  .  1  1  5  1  .  1  .  .  .  .  .  . #> ALDH16A1         1  .   1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALDH18A1         .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  3  .  1  .  .  .  1  .  .  .  .  .  2  .  .  1  .  .  .  .  .  .  .  . #> ALDH1A1          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALDH1A2          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALDH1A3          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALDH1B1          3  .   7  .  .  1  .  .  .  1  .  1  2  1  .  .  .  .  .  1  1  1  .  1  .  .  .  .  .  .  .  5  .  .  .  .  2  3  . #> ALDH1L1          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALDH2            .  .   2  .  1  .  .  .  1  .  .  1  .  .  2  1  .  .  1  .  .  .  .  .  .  1  1  .  2  .  1  .  .  .  .  .  .  .  . #> ALDH3B1          .  .   .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> ALDH3B2          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALDH4A1          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALDH5A1          .  .   .  .  .  1  2  3  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  2  .  1  .  .  .  .  .  .  .  1  .  .  .  . #> ALDH6A1          .  1   .  .  .  1  .  1  .  .  .  .  .  1  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  . #> ALDH7A1          2  .   1  .  .  .  .  .  1  .  .  .  1  .  .  1  .  .  .  .  .  1  .  .  1  .  1  .  .  .  .  1  1  1  .  .  .  1  1 #> ALDH9A1          .  .   .  .  .  2  .  .  1  .  .  .  2  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  2  1  3  .  .  .  .  .  .  .  1 #> ALDOA           10  .   5  2 10  7  2 13  9  1  3  2  4  4  2  7  3  .  2  2  1  2  2  4  3  .  6  2  6  9  4  .  1  3  1  6  .  3  8 #> ALDOB            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALDOC            5  .   6  1  .  7  .  .  .  .  1  .  .  .  5  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> ALG1             .  .   .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALG10            .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALG10B           .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALG11            .  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  . #> ALG12            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ALG13            .  .   .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALG14            .  .   2  .  1  .  1  1  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  1  .  1  .  .  . #> ALG1L            .  .   .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALG1L2           .  .   .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALG2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALG3             1  .   1  .  .  .  .  .  .  1  .  .  .  .  1  2  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  1 #> ALG5             1  .   2  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  1  .  .  .  1  .  .  1  .  .  3  .  .  .  .  .  .  .  1  . #> ALG6             1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALG8             .  .   1  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  1  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> ALG9             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALKBH1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  1  .  .  .  .  1  .  1 #> ALKBH2           .  .   .  .  1  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  3  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALKBH3           .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ALKBH4           .  .   .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  2  .  .  .  .  1  .  .  .  .  .  .  . #> ALKBH5           1  .   3  2  2  .  .  .  1  .  .  .  .  1  .  1  1  1  1  2  .  .  .  1  .  1  .  1  .  .  .  .  .  .  .  .  .  .  . #> ALKBH6           .  2   1  1  1  .  .  4  .  .  .  1  .  1  .  .  .  1  1  1  2  1  2  .  .  .  .  1  .  1  .  .  .  .  1  .  1  1  1 #> ALKBH7           1  1   1  .  .  1  .  .  1  .  .  .  .  1  1  .  .  .  1  .  1  .  1  .  .  .  .  .  1  1  1  1  1  1  .  1  .  .  1 #> ALKBH8           .  1   .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  2  .  .  .  .  .  .  .  .  .  . #> ALLC             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALMS1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALOX12           .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALOX15B          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALOX5            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALOX5AP          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALOXE3           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  . #> ALPK1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALPK3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALPL             .  .   .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALS2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALS2CL           .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALX3             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ALYREF           4  .   4  .  .  1  .  1  .  .  .  1  1  .  .  3  2  2  1  .  1  1  1  .  .  2  3  1  1  2  .  .  1  .  .  .  .  2  4 #> AMACR            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  1  . #> AMBP             6  1   3  1  2  4  .  9  1  2  .  4  4  1  8  2  .  .  5  1  .  .  .  .  .  1 14  .  .  2  1  .  1  .  1 17  7  3  8 #> AMBRA1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AMD1             1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  1  1  .  1  .  .  .  .  .  .  1  .  1  .  .  .  .  .  . #> AMDHD1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AMDHD2           1  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AMER1            1  1   .  .  2  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  2  .  .  .  .  1  1  .  .  .  .  .  1  1  1 #> AMER2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  . #> AMER3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AMFR             1  .   .  .  2  .  .  1  .  1  1  .  .  1  .  .  .  .  .  2  .  2  2  .  2  1  1  .  .  .  1  .  .  1  .  .  2  1  1 #> AMH              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AMHR2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AMIGO1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  . #> AMIGO2           .  .   .  1  .  .  .  .  .  3  .  .  1  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  1  .  .  .  1  2  .  .  .  .  . #> AMIGO3           .  .   .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AMMECR1          .  .   .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  1  .  .  1  .  .  .  .  .  .  .  .  . #> AMMECR1L         .  .   .  .  1  1  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  1  .  1  1  .  .  .  .  .  .  1  .  1  .  .  .  . #> AMN              .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AMN1             .  .   .  .  .  .  .  1  .  .  .  2  .  .  .  .  1  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> AMOT             .  .   2  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AMOTL1           .  .   1  .  .  .  .  1  .  .  .  .  .  .  4  2  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  1  .  .  .  .  2  .  3 #> AMOTL2           1  .   2  .  .  2  1  .  .  .  .  1  .  1  1  .  1  1  .  .  .  .  .  .  .  3  1  .  .  .  1  2  .  .  .  .  2  3  3 #> AMPD2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  . #> AMPH             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AMT              .  .   .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  . #> AMZ1             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AMZ2             .  .   .  .  .  .  1  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  1  .  .  .  .  .  1  1  1  .  .  .  .  .  .  . #> ANAPC1           .  .   .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANAPC10          1  .   1  .  .  .  .  .  .  .  1  .  1  .  .  1  .  .  .  1  .  .  1  1  1  .  1  .  1  .  1  1  1  .  2  .  .  2  . #> ANAPC13          2  .   1  .  3  3  .  2  3  .  1  1  .  1  1  4  2  .  1  2  .  4  1  5  .  .  2  1  1  2  2  .  .  .  .  .  .  1  2 #> ANAPC15          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> ANAPC16          2  .   3  1  .  2  .  1  .  .  1  2  1  .  1  1  .  1  .  .  1  5  .  .  3  4  .  1  4  3  1  1  .  4  .  3  3  1  1 #> ANAPC2           .  .   .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  1  1  1  .  .  1  .  .  .  .  1  .  .  .  1  1  .  .  1  .  . #> ANAPC4           .  .   .  1  .  .  .  2  .  .  1  1  .  .  .  .  .  1  1  .  .  .  .  2  1  .  .  1  1  .  .  .  1  .  .  .  1  .  . #> ANAPC5           4  .   4  2  5  1  1  4  .  .  1  .  1  .  2  2  1  1  4  1  1  3  3  2  .  2  1  1  .  4  1  .  3  2  .  3  4  4  6 #> ANAPC7           .  .   .  .  .  1  .  .  .  2  1  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> ANGEL1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANGEL2           1  1   .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  1  .  .  .  .  1  .  1  .  1  1  1  .  .  .  .  1  . #> ANGPT1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANGPT2           .  .   .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANGPTL1          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANGPTL2          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANGPTL3          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANGPTL4          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ANGPTL6          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANGPTL7          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANGPTL8          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANK1             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANK2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  . #> ANK3             .  .   1  .  .  1  .  .  1  .  .  .  .  .  1  .  1  .  .  1  .  .  .  .  .  .  1  .  .  .  2  .  .  .  .  .  .  .  . #> ANKEF1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKFY1           1  .   .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  . #> ANKH             .  .   .  2  .  .  2  .  2  1  .  .  1  .  .  .  3  .  .  .  1  3  .  2  .  .  .  1  1  .  .  .  .  1  2  2  .  .  1 #> ANKHD1           1  .   1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  1  .  .  1  .  1 #> ANKHD1-EIF4EBP3  1  .   1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  1  .  .  1  .  1 #> ANKIB1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKLE1           1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> ANKLE2           .  .   1  .  .  .  .  1  .  .  .  .  .  .  .  .  1  .  1  .  .  2  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  1 #> ANKMY2           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  1  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  1 #> ANKRA2           .  .   .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD10          .  1   1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  . #> ANKRD11          1  .   .  .  .  .  .  .  .  .  1  .  5  1  .  .  1  .  1  1  1  1  1  1  1  1  .  .  .  .  2  .  .  1  .  .  .  1  1 #> ANKRD12          .  .   .  .  1  .  .  .  .  .  .  .  1  .  .  .  2  .  .  .  .  1  .  .  .  .  .  .  1  1  .  .  .  2  .  .  .  .  . #> ANKRD13A         .  .   .  .  1  .  .  .  .  .  .  .  .  1  1  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  1  .  . #> ANKRD13B         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD13C         .  .   .  .  2  1  .  .  1  .  .  .  .  1  .  .  1  .  .  1  1  1  .  .  .  .  .  .  .  .  .  .  2  .  .  1  .  .  . #> ANKRD13D         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD16          .  .   .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  1  .  .  . #> ANKRD17          1  .   .  .  .  .  .  1  .  .  .  .  1  .  .  1  1  .  .  .  1  .  .  .  1  .  .  1  1  .  .  .  .  1  .  .  1  .  . #> ANKRD2           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  . #> ANKRD24          .  .   .  .  .  .  .  .  .  .  1  .  1  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  . #> ANKRD27          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ANKRD28          .  .   .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD29          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  . #> ANKRD31          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD33B         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD34B         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD34C         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD35          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD37          .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  1  .  .  .  1  .  .  1  .  .  . #> ANKRD39          .  .   .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD40          2  .   .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  2  .  .  .  .  .  1  .  .  1  .  .  .  .  1  .  1  . #> ANKRD44          .  .   .  .  .  .  .  1  1  .  .  .  1  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  .  2  .  .  .  1  .  . #> ANKRD45          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD46          1  1   .  1  .  .  1  .  .  .  .  .  .  2  2  .  .  .  .  2  .  1  .  .  2  1  .  .  .  .  .  .  .  .  1  .  .  .  1 #> ANKRD49          .  .   .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD50          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD54          .  2   .  1  .  .  1  2  1  .  1  .  .  1  .  .  1  .  .  3  1  1  .  2  .  .  .  .  .  .  1  1  1  .  .  2  1  1  2 #> ANKRD55          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD6           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKRD9           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKS1A           .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> ANKS1B           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKS3            .  .   1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  1  1  .  .  .  .  .  1  2  .  .  .  1  .  . #> ANKS4B           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  . #> ANKS6            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANKZF1           .  1   .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  1  1 #> ANLN             1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  . #> ANO1             .  .   .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANO10            .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANO2             .  .   .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANO6             2  .   .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANO7             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANO8             .  .   .  1  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANO9             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  .  . #> ANP32A           .  1   5  1  4  2  .  5  2  2  .  4  2  .  3  6  3  4  1  4  3  1  5  2  6  .  3  .  1  2  5  1  2  2  .  6  4  3  6 #> ANP32B           9  1  14  2  5  1  1  2  1  .  2  1  2  3  1  7  2  3  2  1  .  1  6  .  1  2  2  1  3  2  2  1  1  1  3  2  3  2  5 #> ANP32D           .  1   5  1  4  2  .  5  2  2  .  4  2  .  3  6  3  4  1  4  3  1  5  2  6  .  3  .  1  2  5  1  2  2  .  6  4  3  6 #> ANP32E           1  .   7  1  6  .  3  .  .  .  .  1  .  4  .  1  1  1  3  1  .  2  1  .  .  .  .  .  1  .  .  .  1  .  .  2  2  1  5 #> ANPEP            .  .   .  .  .  .  .  .  .  .  .  .  .  .  2  1  .  .  1  4  .  .  .  .  .  .  .  .  .  3  1  .  .  .  2  .  .  1  1 #> ANTXR1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANTXR2           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  . #> ANXA1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANXA10           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANXA11           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANXA13           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANXA2            8  .   3  .  4  7  .  .  .  .  .  .  .  .  4  8  .  .  1  .  .  .  .  .  1  .  1  .  .  .  3  .  .  .  .  .  .  8  . #> ANXA3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ANXA4            2  .   4  .  .  1  2  3  8  5  1  .  3  2  1  .  7  .  4  1  1  2  3  1  .  .  .  .  1  1  1  1  2  2  2  7  .  1  2 #> ANXA5            .  .   .  2  2  3  .  5  .  1  2  .  .  4  3  9  1  .  1  1  2  .  2  3  1  .  3  1  .  1  1  1  .  .  1  6  .  1  1 #> ANXA6            2  .   1  .  1  4  .  4  .  1  .  .  .  .  3  1  2  .  .  1  .  .  5  1  4  1  .  1  .  1  1  .  2  1  1  .  1  1  2 #> ANXA7            .  .   3  .  3  .  .  .  .  .  .  .  .  1  3  3  .  .  1  .  .  .  .  .  .  .  .  1  1  .  1  .  .  .  1  .  .  .  2 #> ANXA8            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  . #> ANXA8L1          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  . #> ANXA9            .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AOC1             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AOC2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP000295.1       .  .   1  .  1  1  .  .  .  .  .  1  .  .  .  .  .  .  .  1  .  .  .  1  .  .  1  .  .  .  2  2  .  .  .  .  1  .  . #> AP000311.1      15  2  15  3  8  3  4  6  3  4  1  3  3  4  3  6  6  2  5  4  5  5  4  3  3  2  3  5  3  4  5  2  2  3  3  6  .  5  6 #> AP000356.5       6  2   4  2  3  .  1  3  1  .  .  .  .  3  2  4  1  3  .  .  2  3  1  3  2  .  2  2  3  3  .  1  2  .  .  2  .  4  3 #> AP000944.5       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  1  .  .  .  . #> AP001267.5       .  .   .  .  .  .  .  .  .  .  1  2  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  2  .  .  .  .  2  1  .  1  1  .  . #> AP001273.2       .  .   .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  . #> AP001453.3       1  .   2  4  4  2  .  6  .  .  .  .  .  1  1  2  4  .  1  .  .  4  2  6  .  .  .  1  2  4  1  1  2  .  1  7  .  4  5 #> AP001781.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP001931.2       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP002373.1       .  .   1  1  1  1  .  1  .  1  1  .  .  2  1  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  1  .  1  .  .  .  1  .  2 #> AP002495.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP002748.5       .  .   .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  . #> AP002884.2       3  .   1  2  4  1  .  2  .  2  .  .  2  4  1  1  1  3  1  2  .  .  3  3  .  1  3  1  1  2  1  3  .  .  4  2  .  .  2 #> AP002990.1       .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  . #> AP003419.1       .  .   1  .  1  .  .  .  1  1  .  .  .  1  1  .  .  .  .  .  .  .  1  .  .  .  .  .  3  2  1  1  2  .  1  .  .  1  1 #> AP1AR            .  .   .  .  1  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  1  .  .  .  2  .  .  .  .  .  .  .  1  1  .  .  1 #> AP1B1            .  .   .  2  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  . #> AP1G1            .  1   .  1  1  .  .  1  1  1  .  .  .  1  .  .  1  1  .  .  .  1  .  .  .  .  .  .  .  1  .  .  1  1  .  1  .  .  . #> AP1G2            .  .   .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP1M1            .  .   1  1  .  .  .  2  .  .  1  .  .  .  1  1  1  .  .  3  1  .  1  .  1  .  .  .  1  .  .  .  .  2  1  2  .  .  . #> AP1M2            .  1   .  .  .  .  .  .  .  .  1  1  .  .  .  .  1  .  1  .  1  1  1  1  .  1  2  .  2  1  .  2  1  .  .  1  .  .  . #> AP1S1            .  1   3  .  .  1  .  2  .  1  .  1  .  1  1  2  1  2  .  1  .  1  1  5  2  1  1  1  4  2  .  1  5  2  1  1  .  .  2 #> AP1S2            .  .   .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP1S3            .  .   .  .  .  1  1  .  .  .  .  .  .  .  1  .  .  .  .  .  1  .  1  .  .  .  1  .  1  .  1  .  .  .  .  .  .  .  1 #> AP2A1            .  .   1  .  .  .  .  1  .  .  .  1  .  .  1  .  1  .  .  2  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP2A2            .  .   1  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  . #> AP2B1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  . #> AP2M1            1  4   1  4  2  2  1  4  3  2  4  1  .  3  1  4  4  3  1  .  3  5  2  4  5  1  1  1  4  6  2  .  4  3  2  6  3  .  5 #> AP2S1            1  2   7  .  7  2  1  7  3  1  .  1  2  4  3  3  5  .  3  7  .  2  1  3  .  3  2  1  2  1  2  2  3  2  3  2  3  2  2 #> AP3B1            .  .   1  .  .  .  .  1  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> AP3B2            .  .   .  .  .  .  .  .  2  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1 #> AP3D1            .  1   1  2  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  1  .  1  2  .  2  1  3  1  .  1  1  .  .  .  .  . #> AP3M1            .  .   1  1  .  2  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  1  1  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  . #> AP3M2            .  .   .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP3S1            2  1   .  3  .  .  1  .  .  1  .  2  .  3  1  1  1  1  1  .  1  2  .  2  1  3  .  .  2  1  .  .  5  2  .  .  2  2  1 #> AP3S2            .  .   1  .  2  .  .  1  1  .  1  .  .  .  .  1  .  .  1  .  2  1  1  .  .  .  .  .  1  .  .  1  .  .  .  2  .  .  . #> AP4E1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP4M1            .  .   .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP4S1            .  .   1  .  1  .  .  1  .  .  1  .  .  .  .  1  .  .  .  2  .  .  .  2  .  .  .  1  .  .  .  .  .  .  .  .  .  .  . #> AP5B1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP5M1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP5S1            .  .   .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AP5Z1            .  .   .  1  .  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> APAF1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> APBA1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  . #> APBA2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APBA3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  . #> APBB1            1  .   .  .  .  .  .  2  .  3  1  .  .  2  .  .  .  1  .  1  .  .  .  .  1  .  .  2  .  .  .  .  .  .  3  .  .  .  2 #> APBB1IP          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APBB2            1  .   .  .  .  .  .  .  .  1  1  .  .  .  .  1  1  .  .  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> APC              .  .   .  .  1  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> APC2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> APCS             .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> APEH             1  .   .  1  4  1  .  .  .  .  .  .  .  .  .  1  2  1  .  .  .  1  .  .  1  .  2  .  1  .  .  .  1  .  .  1  .  .  . #> APEX1            1  2   4  .  .  1  .  1  1  2  .  .  1  1  .  4  3  1  1  2  1  .  2  .  .  .  3  1  1  .  1  2  .  .  1  .  .  3  3 #> APEX2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APH1A            .  .   .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  . #> APH1B            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> API5             .  1   1  .  .  .  .  .  .  .  1  1  .  .  1  1  .  .  .  .  .  2  .  .  .  .  .  .  .  .  1  .  .  2  .  .  1  .  1 #> APIP             1  1   1  .  .  2  .  .  .  .  .  2  1  .  .  1  .  .  2  1  1  .  .  .  1  1  3  .  .  1  1  .  1  .  1  .  1  .  1 #> APLF             .  1   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APLP1            1 10   .  2  .  .  5 12  6  3  9  2  1  4  .  .  7  4  .  7  5  3 15  5  5  .  .  5  4  5  .  2  3  8 10  5  9  .  9 #> APLP2            4  .   1  .  5  3  1  1  .  .  3  1  3  2  2  4  .  1  2  1  1  .  .  .  1  .  1  .  1  2  1  .  2  1  .  .  1  .  1 #> APMAP            .  .   .  1  1  .  1  .  .  1  .  1  .  .  .  .  1  .  .  1  1  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  . #> APOA1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOA2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  . #> APOBEC1          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOBEC2          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOBEC3H         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOBEC4          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOBR            .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOC1            .  2   1  .  1  .  .  .  .  .  .  .  .  .  2  .  .  .  .  3  .  .  .  .  .  .  1  .  .  .  3  2  .  .  .  .  .  .  . #> APOC3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOD             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOE             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOF             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOH             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOL1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOL2            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOL3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOL4            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOL6            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOLD1           .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOM             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> APOO             2  1   .  .  .  .  .  .  .  1  1  .  .  2  1  2  .  .  .  .  2  .  .  .  .  1  .  .  1  2  1  .  2  1  .  .  .  .  1 #> APOOL            .  .   2  .  .  1  .  1  .  .  1  .  .  .  1  1  .  .  .  .  .  .  .  1  2  1  1  .  .  .  2  2  .  .  .  .  1  1  1 #> APP              2  1   4  .  2  4  3  2  1  1  2  3  3  1  3  2  1  1  1  1  1  5  2  1  5  3  3  3  .  2  .  2  6  3  1  5  6  1  6 #> APPBP2           1  .   2  .  1  .  .  1  1  .  .  .  .  .  1  1  .  .  .  .  .  .  1  .  .  .  1  1  1  2  .  .  1  1  .  .  2  2  1 #> APPL1            1  .   1  .  .  1  .  .  1  .  .  .  .  .  1  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  2  .  .  .  .  . #> APPL2            .  .   1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1  .  1  .  1  .  .  .  .  .  1  1  .  .  .  .  .  .  1  1  1 #> APRT             4  .   1  1  .  3  .  2  .  3  .  .  3  7  2  4  2  .  1  .  .  1  1  .  1  .  3  2  1  .  2  1  .  .  .  2  1  .  2 #> APTX             .  .   .  .  .  .  1  1  2  .  .  .  2  .  .  1  .  .  .  .  1  1  .  .  .  1  .  1  1  .  .  1  1  .  .  .  .  .  . #> AQP1             .  .   .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AQP11            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AQP12A           .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AQP12B           .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AQP3             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AQP4             1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AQP7             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AQP8             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AQR              .  1   .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  1  .  .  .  1  .  .  .  1  .  .  .  .  .  1  .  1  .  .  . #> ARAF             .  .   .  .  .  1  .  1  .  1  .  .  .  .  .  .  .  .  3  1  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  1  .  .  . #> ARAP1            .  .   .  .  1  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  . #> ARAP2            .  1   .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ARAP3            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARC              .  .   .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  . #> ARCN1            3  1   1  1  .  .  .  1  1  1  .  .  .  .  1  .  .  .  .  1  .  3  .  2  .  .  .  .  1  .  .  .  .  .  2  .  .  .  . #> AREG             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> AREL1            .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  . #> ARF1             4  4  12  5  3  3  3  9  1  4  3  3  3 11  4  5  3  2  4  5  4  5  4  4  5  7  3  3  4  4  7  5  6  2  3  3  5  3  8 #> ARF3             1  .   1  1  .  1  .  1  2  .  1  .  .  1  .  .  1  .  .  1  1  2  .  2  .  .  .  2  .  .  .  .  .  1  1  1  2  .  1 #> ARF4             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARF5             8  4   3  7  5 11 10 10  4  8  3 12  8 11  8  4  5 11  4 13  4 10 12  6  8  3  3  2  7  4  5 26  4  9  6  5 15  9 16 #> ARF6             2  2   4  .  .  .  .  1  .  .  1  .  .  .  1  6  2  1  .  .  .  .  .  1  .  .  1  .  .  .  2  .  .  .  .  .  .  .  . #> ARFGAP1          .  .   .  .  .  1  .  1  .  .  .  .  1  .  .  .  2  .  .  .  .  1  1  1  1  .  1  .  .  .  .  .  .  .  .  .  .  1  2 #> ARFGAP2          1  .   .  .  .  .  .  1  .  .  1  1  1  2  .  .  .  .  2  .  .  1  .  .  .  1  .  .  .  1  .  .  .  .  .  .  1  1  . #> ARFGAP3          .  1   .  .  .  .  1  .  .  1  .  1  .  .  .  .  .  1  .  .  .  2  .  .  .  5  1  .  2  .  .  1  .  2  .  .  .  .  . #> ARFGEF1          1  1   1  .  .  1  .  1  .  .  .  .  .  .  .  1  1  .  .  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  2 #> ARFGEF2          1  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARFGEF3          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  . #> ARFIP1           .  .   1  .  1  .  .  .  .  .  .  .  .  .  .  3  .  .  .  .  1  .  .  .  1  .  .  1  .  .  1  .  1  .  1  .  .  .  . #> ARFIP2           1  .   .  .  .  .  1  .  1  .  .  .  .  .  1  .  .  .  1  1  1  .  5  .  1  .  .  .  .  1  .  1  1  .  .  1  .  2  1 #> ARFRP1           .  .   .  .  .  2  .  .  .  .  2  1  .  .  .  .  .  .  2  .  .  .  1  .  .  .  .  .  .  1  .  .  1  .  .  .  1  .  1 #> ARG1             .  .   .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  3  1  2  .  1  .  .  .  .  .  .  .  .  .  .  .  2  .  .  .  . #> ARG2             .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARGLU1           .  1   6  1  .  .  .  .  .  1  1  .  .  6  3  .  1  .  .  .  1  .  .  1  .  1  1  .  .  .  .  .  .  .  .  .  .  .  2 #> ARHGAP1          .  .   2  1  .  .  1  .  .  .  1  .  .  1  .  1  .  .  .  .  .  .  .  2  .  .  .  .  .  .  .  .  1  1  .  1  .  .  . #> ARHGAP10         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ARHGAP11A        .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP11B        .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP12         .  .   .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  1 #> ARHGAP17         .  .   .  .  .  .  .  .  .  .  .  1  1  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  1  1  1  .  .  .  .  1  . #> ARHGAP18         .  .   .  .  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  1  .  1  .  .  . #> ARHGAP19         .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> ARHGAP19-SLIT1   .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  . #> ARHGAP20         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP21         .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  . #> ARHGAP22         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP23         .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP24         .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP26         .  .   .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP27         .  .   .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP28         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1 #> ARHGAP29         .  .   .  .  1  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  . #> ARHGAP31         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP32         .  .   .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP33         .  .   .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  .  .  .  2  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP35         .  .   .  .  .  .  1  2  .  .  .  .  1  .  1  .  .  1  .  .  .  .  .  2  .  .  .  1  1  .  .  .  .  1  1  1  .  .  . #> ARHGAP36         .  .   .  .  .  .  .  6  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  3  .  .  .  .  .  .  .  .  .  . #> ARHGAP39         .  .   .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  1  .  1  .  .  .  .  .  . #> ARHGAP4          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP42         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP44         .  .   1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP5          .  .   .  .  1  .  1  2  .  .  1  .  1  .  .  .  .  .  .  .  .  .  1  1  .  .  2  2  .  .  .  .  1  .  .  .  .  .  2 #> ARHGAP6          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP8          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGAP9          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGDIA          2  .   6  .  3  3  2  3  2  .  .  2  2  2  1  1  1  1  2  1  1  2  4  .  4  1  1  .  1  3  1  4  .  3  .  2  4  4  3 #> ARHGDIB          .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGDIG          .  .   .  .  .  .  .  .  .  .  .  1  1  1  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  1  .  1  .  .  .  . #> ARHGEF1          1  .   2  .  .  .  .  .  .  .  .  1  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  1 #> ARHGEF10         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGEF10L        .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  . #> ARHGEF11         .  .   .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGEF12         1  .   .  1  .  .  .  .  .  .  .  .  .  1  .  .  .  .  1  .  .  1  .  .  .  1  1  .  .  .  .  .  .  .  .  .  .  .  1 #> ARHGEF15         .  .   .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  1  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . #> ARHGEF16         .  1   .  .  1  .  1  .  .  .  .  .  .  1  1  .  .  .  .  .  .  1  .  2  .  .  1  1  .  1  .  .  .  .  .  .  1  1  1 #> ARHGEF17         .  .   .  .  .  .  .  .  .  1  .  .  1  .  1  .  .  .  .  .  .  .  .  .  .  .  .  1  2  .  .  .  .  .  .  1  1  .  . #>                                                           #> A1CF             . .  .  .  .  .  . .  . .  .  . . ...... #> A3GALT2          . .  .  .  .  .  . .  . .  .  . . ...... #> AAAS             . .  .  .  .  .  . .  . .  .  . . ...... #> AACS             . .  .  .  .  .  1 1  . .  .  . 1 ...... #> AADAC            . .  .  .  .  .  . .  . .  .  . . ...... #> AAGAB            1 .  .  .  .  .  . .  . .  1  . . ...... #> AAK1             . .  .  .  .  .  . 1  . .  .  . . ...... #> AAMDC            . .  .  .  .  .  . .  . .  .  . . ...... #> AAMP             5 1  2  1  1  4  . 1  . 2  1  1 1 ...... #> AAR2             . 1  .  .  .  .  . 1  . .  .  . . ...... #> AARD             . .  .  .  .  .  . .  . 4  .  . . ...... #> AARS1            . 1  1  .  .  1  1 .  1 .  .  . . ...... #> AARS2            . .  .  .  .  .  . .  . .  .  . . ...... #> AARSD1           . .  .  .  .  .  . .  . .  .  . . ...... #> AASDH            . .  .  .  .  .  . .  . .  .  . . ...... #> AASDHPPT         . .  .  .  .  1  . .  . 1  1  . . ...... #> AASS             . .  .  .  .  .  . .  . .  .  . . ...... #> AATF             . .  .  .  .  .  . .  . .  .  . . ...... #> AATK             . .  .  .  .  .  . .  . .  .  . . ...... #> ABAT             . .  .  .  .  .  . .  . .  .  . . ...... #> ABCA1            . .  .  .  .  .  . .  . .  .  2 . ...... #> ABCA12           . .  .  .  .  .  . .  . .  .  . . ...... #> ABCA2            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCA3            . .  .  .  .  .  . .  . .  .  . 1 ...... #> ABCA4            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCA5            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCA7            1 .  .  .  .  .  . .  . .  .  . . ...... #> ABCA8            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCB1            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCB10           1 .  .  .  .  .  . .  . .  .  . . ...... #> ABCB11           . .  .  .  .  .  . .  . .  .  . . ...... #> ABCB4            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCB6            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCB7            . .  .  .  .  .  . .  1 .  .  . . ...... #> ABCB8            . .  .  .  .  .  . 1  . .  .  . . ...... #> ABCB9            1 1  .  .  .  1  . 1  . .  .  . . ...... #> ABCC1            . .  .  .  .  .  1 .  . .  .  . . ...... #> ABCC10           . .  .  .  .  .  . .  . .  .  . . ...... #> ABCC3            . .  1  .  .  .  . .  . .  .  . . ...... #> ABCC4            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCC5            1 .  .  .  1  .  . .  . .  .  . . ...... #> ABCC8            6 2  .  .  .  1  . .  . .  .  . 3 ...... #> ABCC9            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCD1            . .  .  .  .  .  1 .  . .  .  . . ...... #> ABCD3            2 1  2  1  1  .  . .  1 .  .  1 3 ...... #> ABCD4            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCE1            . 1  .  .  .  1  1 1  . .  .  . . ...... #> ABCF1            1 2  .  1  1  .  1 1  3 .  .  2 1 ...... #> ABCF2            . 1  .  .  .  .  . .  1 .  .  . . ...... #> ABCF2-H2BE1      . 1  .  .  .  .  . .  1 .  .  . . ...... #> ABCF3            . .  .  .  .  .  1 .  . .  .  1 . ...... #> ABCG1            . 1  .  .  .  .  . .  . .  .  . 1 ...... #> ABCG5            . .  .  .  .  .  . .  . .  .  . . ...... #> ABCG8            . .  .  .  .  .  . .  . .  .  . . ...... #> ABHD10           . .  .  1  .  .  . .  . .  .  . . ...... #> ABHD11           . 1  2  .  .  .  . .  . .  .  1 . ...... #> ABHD12           . .  .  .  .  .  . .  1 1  .  2 . ...... #> ABHD13           . .  .  1  .  .  . .  1 .  .  . . ...... #> ABHD14A          . .  2  1  .  .  . .  . 1  .  . . ...... #> ABHD14A-ACY1     . .  .  .  .  .  . .  . .  .  . . ...... #> ABHD14B          . .  .  2  .  .  . .  1 .  1  . 1 ...... #> ABHD15           . .  .  .  .  .  . .  . .  .  . . ...... #> ABHD16A          2 .  .  .  .  .  2 .  . .  1  . 1 ...... #> ABHD17A          . .  1  1  .  .  . .  . .  .  . 1 ...... #> ABHD17B          . .  1  .  .  .  . .  . .  .  . . ...... #> ABHD17C          1 .  .  .  .  .  . .  1 .  1  . 1 ...... #> ABHD18           . .  .  .  1  .  . .  1 .  .  . . ...... #> ABHD2            . 2  .  .  .  .  . .  . .  .  . . ...... #> ABHD3            . .  .  .  .  .  . .  . .  .  . . ...... #> ABHD4            . .  .  .  .  .  . .  . .  .  . . ...... #> ABHD5            . 1  .  .  1  .  . .  . .  .  . . ...... #> ABHD6            . .  .  .  1  .  . .  . .  1  . . ...... #> ABHD8            . .  .  .  .  .  . .  . .  .  . . ...... #> ABI1             1 1  .  1  2  .  . .  . 1  .  . . ...... #> ABI2             . .  .  .  .  .  . .  . .  .  . 1 ...... #> ABI3             . .  .  .  .  .  . .  . .  .  . . ...... #> ABL1             . 1  .  .  .  .  . .  . .  1  . . ...... #> ABL2             . .  .  .  .  .  . .  . .  .  . . ...... #> ABLIM1           . .  .  .  .  .  . .  . .  .  . . ...... #> ABLIM2           . .  .  .  .  .  . .  . .  .  . . ...... #> ABLIM3           . .  .  .  .  .  . .  . .  .  . . ...... #> ABR              . .  .  .  .  .  . .  . .  .  1 . ...... #> ABRACL           5 2  1  .  .  2  1 1  4 2  1  3 1 ...... #> ABT1             . 1  .  .  2  .  1 .  . .  2  . . ...... #> ABTB1            1 1  .  1  .  .  1 .  . .  .  . . ...... #> ABTB2            . .  .  .  .  .  . .  . .  .  1 . ...... #> AC000120.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AC001226.2       . .  .  .  .  .  . 1  . .  .  . . ...... #> AC002094.3       1 .  .  .  .  .  . .  . .  .  . . ...... #> AC002310.4       . .  1  .  .  .  . .  . .  .  . . ...... #> AC002985.1       . .  .  .  .  .  . 2  1 .  1  . . ...... #> AC002996.1       . .  .  .  .  .  . .  1 1  1  . . ...... #> AC003005.1       1 .  .  .  .  1  . .  . .  .  . . ...... #> AC004076.1       1 .  .  .  .  1  . .  . .  .  . . ...... #> AC004556.3       . .  1  .  .  .  . .  1 .  1  . 1 ...... #> AC004593.2       . .  .  1  .  .  . .  . .  .  . . ...... #> AC004687.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC004691.2       . .  .  .  .  .  . .  . .  1  . . ...... #> AC004832.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AC004922.1       3 .  2  3  3  .  3 3  5 1  3  1 1 ...... #> AC004997.1       . .  .  .  1  .  . .  . .  .  . . ...... #> AC005041.1       . .  .  .  .  1  . .  . .  .  . . ...... #> AC005154.5       . .  .  1  1  .  . .  1 .  .  . . ...... #> AC005192.1       . 1  .  .  .  .  . .  1 .  .  . . ...... #> AC005324.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AC005520.1       2 .  .  .  .  .  . 1  . 1  .  . . ...... #> AC005670.2       . .  .  1  .  1  . .  1 .  1  . . ...... #> AC005697.1       1 .  .  .  .  .  . 1  . 1  .  . . ...... #> AC005726.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC005943.1       4 2  4  1  1  .  1 3  6 2  4  1 7 ...... #> AC006030.1       . .  .  .  .  .  . 2  . .  .  1 1 ...... #> AC006059.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC006064.6       1 .  1  .  1  .  . 1  . 3  1  5 3 ...... #> AC006254.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC007040.2       1 .  1  .  2  .  . .  . .  1  . 1 ...... #> AC007192.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC007325.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC007325.4       1 1  1  .  1  2  . 1  . .  .  1 2 ...... #> AC007326.4       1 1  1  .  1  2  . 1  . .  .  1 2 ...... #> AC007687.1       2 6  8  2  2  2  2 4  4 1  4  3 8 ...... #> AC008012.1       . 1  3  .  .  .  . .  . .  .  1 1 ...... #> AC008073.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AC008397.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC008581.2       . 2  1  .  1  .  . 2  1 1  1  . 1 ...... #> AC008695.1       . 1  .  .  .  .  . .  . .  .  . . ...... #> AC008764.1       . .  .  .  .  .  1 .  . .  .  . . ...... #> AC008770.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC009070.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC009690.1       . 1  .  2  .  1  1 .  2 1  1  1 . ...... #> AC009690.3       . .  .  .  .  .  . .  . 1  .  . . ...... #> AC009779.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AC010197.2       . .  .  .  .  .  . .  . .  1  . . ...... #> AC010319.2       . .  1  .  .  .  . .  . .  .  . . ...... #> AC010323.1       3 1  8  .  1  1  2 5  1 1  7  . 3 ...... #> AC010422.3       . 1  .  .  .  .  1 .  1 .  .  . . ...... #> AC010422.5       . 1  .  .  .  .  1 .  1 .  .  . . ...... #> AC010463.1       1 2  .  1  1  .  . 3  . .  .  . . ...... #> AC010616.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC011005.1       3 2  1  1  3  .  . 1  . 1  2  4 3 ...... #> AC011448.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC011455.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC011462.1       . .  .  2  1  1  1 .  1 .  1  1 . ...... #> AC011473.4       . .  .  .  .  .  . .  . .  .  . . ...... #> AC011479.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC011499.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC011511.4       . .  .  .  .  .  1 .  1 .  1  . . ...... #> AC012213.5       . .  .  .  .  .  . .  . .  .  . . ...... #> AC012488.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC013394.1       . .  .  .  .  .  . .  3 .  .  . . ...... #> AC013477.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC013489.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC013717.1       . 1  .  .  .  .  . .  . .  .  . . ...... #> AC015802.6       1 .  1  1  1  .  1 .  1 .  1  . . ...... #> AC016027.6       . .  .  .  .  .  . .  . .  .  . . ...... #> AC017083.3       . .  .  .  .  .  . .  . .  .  1 . ...... #> AC018362.3       . .  .  .  .  .  . .  . 1  .  . . ...... #> AC019117.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC020765.6       . .  .  .  .  .  . .  . .  1  . . ...... #> AC020907.6       . 1  2 10  3  7  2 1  . 3  3  5 . ...... #> AC021087.5       . .  1  1  1  .  . 1  . 1  .  . 1 ...... #> AC021660.3       1 .  .  .  1  .  . .  . .  .  1 . ...... #> AC022384.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC022400.5       . .  .  .  .  .  . .  . .  .  . . ...... #> AC022414.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC022826.2       . .  .  .  .  .  . .  . .  .  . 1 ...... #> AC023055.1       . .  .  .  1  1  . 1  . 1  1  . . ...... #> AC024592.3       6 4  3  3  3  .  3 1  1 1  3  . 6 ...... #> AC025165.6       . .  .  .  .  .  . .  . .  .  . . ...... #> AC026464.1       1 .  1  .  .  1  . 1  . .  .  . . ...... #> AC026464.3       . .  .  .  1  .  . .  1 .  .  . . ...... #> AC026464.4       . .  2  .  .  .  1 .  . .  .  . . ...... #> AC026464.6       . .  .  .  1  .  . .  1 .  .  . . ...... #> AC027644.4       1 .  .  .  .  .  . .  . .  .  . . ...... #> AC027796.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AC034102.2       3 2  1  .  .  1  . 1  . .  1  1 . ...... #> AC034228.3       . .  .  .  .  1  . .  . .  .  . . ...... #> AC036214.3       1 .  1  2  3  .  4 3  1 4  5  . 2 ...... #> AC037459.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC048338.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC055811.2       . .  .  .  1  .  . .  1 1  .  . . ...... #> AC055839.2       1 .  .  .  .  .  . .  . .  .  . . ...... #> AC064824.1       . .  1  .  .  .  1 .  . 1  .  . . ...... #> AC068234.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC068533.4       . 1  2  .  .  .  1 .  . 1  .  . . ...... #> AC068547.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC068580.4       . .  .  .  .  .  . .  . .  .  . . ...... #> AC068631.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC068831.6       . .  .  .  .  .  . .  . .  .  . . ...... #> AC068946.2       . .  .  2  .  .  1 .  . .  .  . . ...... #> AC069257.3       . .  .  .  .  .  . .  . 1  1  . . ...... #> AC069503.2       . .  .  .  .  .  . 1  . 2  .  1 . ...... #> AC073508.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC073612.1       . .  .  1  .  .  . .  . 1  .  1 . ...... #> AC073896.1       5 4  3  2  3  2  3 2  5 3  6  1 2 ...... #> AC074143.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC078815.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC078927.1       1 1  1  .  .  1  1 1  . 2  1  . . ...... #> AC079447.1       2 2  3  1  .  2  2 2  4 1  4  . 3 ...... #> AC079594.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC083977.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC087721.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC090004.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC090227.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC090517.4       1 .  .  1  1  1  . .  . .  .  . . ...... #> AC091057.5       . .  .  .  .  .  . .  . .  .  . . ...... #> AC091167.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC091167.7       . 1  .  .  .  .  1 .  . .  .  . 1 ...... #> AC091959.1       . 1  .  .  .  .  1 3  . .  .  . . ...... #> AC092017.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC092042.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AC092073.1       . .  .  1  .  .  1 1  . .  1  . . ...... #> AC092143.1       5 1  .  2  7  .  . 1  . 1  .  5 2 ...... #> AC092647.5       . .  2  .  2  .  . 3  1 .  2  2 . ...... #> AC092718.2       . .  1  .  .  .  . 1  . .  .  . 2 ...... #> AC092718.7       . .  1  .  .  .  . 1  . .  .  . 2 ...... #> AC092835.1       . .  .  1  .  .  . .  . .  1  . . ...... #> AC093155.3       1 .  .  .  .  .  . .  1 .  .  . . ...... #> AC093323.1      12 7  1 11  5  2  4 7  8 8  6  8 4 ...... #> AC093525.1       . .  .  .  .  .  . 1  . 3  .  1 . ...... #> AC093525.2       . .  .  .  .  .  . .  . 1  .  . . ...... #> AC093827.5       . .  .  .  .  .  . .  . .  .  . . ...... #> AC093884.1       . .  1  1  .  .  . .  . .  .  . . ...... #> AC096887.1       . .  1  .  .  .  . .  . .  .  . . ...... #> AC097634.4       . 1  3  2  3  .  1 .  . .  .  . 1 ...... #> AC104389.5       1 .  .  .  .  .  . .  . .  .  . . ...... #> AC104452.1       . 1  .  .  .  .  . .  . .  .  . . ...... #> AC104472.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AC105052.1       . .  .  6  .  .  . .  . .  .  . . ...... #> AC105052.3       . .  3  .  2  1  1 1  1 .  .  . 3 ...... #> AC106741.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC106873.8       . .  .  .  .  .  1 .  . .  .  . . ...... #> AC106886.5       . .  .  .  .  .  . .  . .  .  . . ...... #> AC108488.2       . .  1  .  .  .  . .  . .  .  . . ...... #> AC109583.1       . 1  .  .  .  .  . .  . .  .  . . ...... #> AC112128.1       . .  .  1  .  .  . .  . .  .  . . ...... #> AC116366.1       . .  .  .  .  .  . 1  . .  .  1 1 ...... #> AC117378.1       . 1  .  .  .  .  . .  . .  .  . . ...... #> AC117457.1       . .  .  .  .  .  . .  . 1  .  . . ...... #> AC119674.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AC126283.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC129492.3       . .  1  1  .  1  3 1  . .  1  . . ...... #> AC131160.1       . 1  2  .  2  1  1 .  . 1  3  . . ...... #> AC136352.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AC136475.9       1 1  6  7  1  1  . 1  8 .  8 10 . ...... #> AC136616.1       . .  .  1  1  .  . .  . .  .  . . ...... #> AC137834.1       1 2  .  1  1  .  . .  . .  1  . . ...... #> AC138647.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC138696.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC139530.2       . .  .  .  .  .  . 1  . 1  1  . . ...... #> AC140504.1       . .  1  .  .  .  . .  . .  .  . . ...... #> AC142391.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC243967.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC244197.3       . .  .  1  1  .  . .  . .  .  . 1 ...... #> AC245033.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC245748.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AC253536.7       . .  .  1  .  1  . .  . .  3  . 1 ...... #> ACAA1            3 3  .  1  .  1  1 .  4 .  .  1 1 ...... #> ACAA2            1 .  .  1  .  .  . .  . .  3  . . ...... #> ACACA            . .  1  .  .  .  . .  . 1  .  . . ...... #> ACACB            . .  .  .  .  .  . .  . .  .  . . ...... #> ACAD10           . .  .  .  .  .  . .  . .  .  . . ...... #> ACAD11           . .  .  .  .  .  . .  . .  .  . . ...... #> ACAD8            1 1  .  1  .  .  . .  1 .  .  . . ...... #> ACAD9            . .  .  .  .  .  . .  . .  .  . . ...... #> ACADL            . 2  2  1  .  .  . 1  . 1  1  . . ...... #> ACADM            . .  2  1  .  .  . .  . 1  2  . 1 ...... #> ACADS            . .  .  .  .  .  . .  . .  .  . 1 ...... #> ACADSB           1 .  .  .  .  .  . .  2 .  .  . 1 ...... #> ACADVL           . .  2  .  .  2  2 1  . 1  .  . 1 ...... #> ACAN             . .  .  .  .  .  . .  . .  .  . . ...... #> ACAP1            . .  .  .  .  .  . .  . .  .  . . ...... #> ACAP2            . .  .  .  1  .  . 1  . .  .  . . ...... #> ACAP3            . .  .  .  1  .  . .  . .  .  . . ...... #> ACAT1            1 1  .  .  .  .  1 .  . .  1  . . ...... #> ACAT2            . 1  .  .  .  .  . 1  . .  2  . . ...... #> ACBD3            1 2  2  .  1  1  . .  1 .  .  . . ...... #> ACBD4            . .  .  .  .  .  . .  . .  .  . . ...... #> ACBD5            . 1  1  1  .  .  . .  . .  .  . 1 ...... #> ACBD6            . 1  2  2  1  1  . 1  . 2  .  1 1 ...... #> ACBD7            . .  .  .  .  .  . .  . .  .  . . ...... #> ACCS             . .  .  .  .  .  . .  . .  .  . . ...... #> ACD              . .  1  .  .  .  . .  . .  .  2 2 ...... #> ACE2             . .  .  .  .  .  . .  . .  .  . . ...... #> ACER2            1 1  2  .  1  .  . .  2 .  2  1 . ...... #> ACER3            . .  .  .  .  .  . .  . 1  .  . . ...... #> ACIN1            1 2  2  .  .  .  . .  2 1  2  . . ...... #> ACKR3            . .  .  .  .  .  . .  . .  .  . . ...... #> ACLY             6 1  .  .  3  .  1 1  1 2  2  . 5 ...... #> ACO1             . 1  1  .  .  .  . .  1 .  .  . . ...... #> ACO2             2 2  3  1  1  2  . 1  3 2  1  1 . ...... #> ACOT1            . .  6  .  1  .  1 .  2 1  2  . . ...... #> ACOT11           . .  .  .  .  .  . .  . .  .  . . ...... #> ACOT12           . .  .  .  .  1  . .  . .  .  . . ...... #> ACOT13           2 .  1  .  .  .  1 .  1 1  2  1 1 ...... #> ACOT2            . .  6  .  1  .  1 .  2 1  2  . . ...... #> ACOT4            . .  .  .  .  .  . .  . .  .  . . ...... #> ACOT6            . .  .  .  .  .  . .  . .  .  . . ...... #> ACOT7            . .  .  .  .  .  . .  . .  .  . . ...... #> ACOT8            . .  1  .  .  .  . .  . .  .  . 1 ...... #> ACOT9            . .  .  .  .  .  . .  . .  .  . . ...... #> ACOX1            . .  .  1  .  .  . .  . .  .  . . ...... #> ACOX2            . .  .  .  .  .  . .  . .  .  . . ...... #> ACOX3            . .  .  .  .  .  . .  . .  .  . . ...... #> ACOXL            . .  .  .  .  .  . .  . .  .  . . ...... #> ACP2             . .  .  .  .  .  . .  . .  .  . . ...... #> ACP3             . .  .  .  .  .  . .  . .  .  . . ...... #> ACP5             . .  .  .  .  .  . .  . .  .  . . ...... #> ACP6             . .  .  .  1  .  1 .  . .  .  1 . ...... #> ACRBP            . .  .  .  .  .  . .  . .  .  1 . ...... #> ACSBG1           1 .  .  .  .  .  . .  . .  .  . . ...... #> ACSF2            . .  .  .  .  .  . .  . .  .  . . ...... #> ACSF3            . 1  .  .  .  .  . .  . .  .  . . ...... #> ACSL1            . .  .  .  .  .  . .  1 .  .  . . ...... #> ACSL3            . .  .  .  .  .  . .  1 .  .  . . ...... #> ACSL4            . 1  .  .  .  .  . .  . .  .  . . ...... #> ACSL5            . 1  .  .  .  .  . .  . .  1  1 . ...... #> ACSL6            . .  .  .  .  1  . .  . .  .  . . ...... #> ACSM3            . .  .  .  .  .  . .  . .  .  . . ...... #> ACSS3            . .  .  .  .  .  . .  . .  .  . . ...... #> ACTA1            . .  .  .  .  .  . .  . .  .  . . ...... #> ACTA2            . .  .  .  .  .  . .  . .  .  . . ...... #> ACTB             8 8 26 15 18 16 13 7 35 9 20 13 8 ...... #> ACTC1            . .  .  .  .  .  . .  . .  .  . . ...... #> ACTG1           10 . 21  3 13  3 17 3 30 8 24 14 4 ...... #> ACTL10           . .  .  .  .  .  . .  . .  .  . . ...... #> ACTL6A           . .  1  1  .  .  . .  2 .  .  4 1 ...... #> ACTL6B           . .  .  .  .  .  . .  . .  .  . . ...... #> ACTN1            . .  .  1  .  .  . .  3 .  .  . . ...... #> ACTN3            . .  .  .  .  .  . .  . .  .  . 3 ...... #> ACTN4            1 .  3  .  1  .  1 1  2 .  1  . 1 ...... #> ACTR10           1 .  1  .  .  .  . 2  . 1  4  . 1 ...... #> ACTR1A           . 2  1  .  .  .  . .  . .  .  1 . ...... #> ACTR1B           . 1  1  .  2  .  1 .  . 1  1  . . ...... #> ACTR2            . .  .  1  2  .  . 1  . .  .  . 1 ...... #> ACTR3            . 4  .  1  .  1  . .  . .  3  . . ...... #> ACTR3B           . .  .  .  .  .  . .  . .  .  . . ...... #> ACTR3C           . .  .  .  .  .  . .  . .  .  . . ...... #> ACTR5            . .  .  .  .  .  . 1  . 1  .  . . ...... #> ACTR6            . 1  .  .  .  .  . .  . .  .  . . ...... #> ACTR8            1 .  .  .  1  1  . .  1 .  .  . . ...... #> ACTRT3           . .  .  .  .  .  . .  . .  .  . . ...... #> ACVR1B           . .  .  .  .  .  . 1  . .  .  . . ...... #> ACVR1C           . 1  .  .  .  .  . .  . .  .  . . ...... #> ACVR2A           . .  .  .  .  .  . .  . 1  .  . . ...... #> ACVR2B           . .  1  .  .  1  . 1  . .  1  . . ...... #> ACVRL1           . .  .  .  .  .  . .  . .  .  . . ...... #> ACY1             . .  .  .  .  .  . .  . .  .  . . ...... #> ACY3             . .  .  .  .  1  . .  . .  .  . . ...... #> ACYP1            2 1  1  .  .  .  . .  . 1  1  . . ...... #> ACYP2            . .  .  .  .  .  . .  . 1  .  . . ...... #> AD000671.1       2 1  1  .  2  .  . 2  . 1  2  1 2 ...... #> ADA              . .  .  .  .  .  . .  . .  .  . . ...... #> ADAL             . .  .  .  .  .  . 1  . .  .  . . ...... #> ADAM10           2 1  .  .  1  .  . .  1 .  .  . . ...... #> ADAM11           . .  .  .  .  .  . .  1 .  .  . . ...... #> ADAM12           . .  .  .  .  .  . .  . .  .  . . ...... #> ADAM15           . .  .  .  .  .  . .  . 1  .  . . ...... #> ADAM17           . .  .  .  1  .  . .  . .  .  . . ...... #> ADAM21           . .  .  .  .  .  . .  . .  .  . . ...... #> ADAM22           . .  .  .  .  .  . .  . .  .  . . ...... #> ADAM23           . .  .  .  .  .  . .  . .  .  . . ...... #> ADAM30           . .  .  .  .  .  . .  . .  .  . . ...... #> ADAM32           . .  .  .  .  .  . .  . .  .  . . ...... #> ADAM8            . .  .  .  .  .  . .  . .  .  . . ...... #> ADAM9            . .  .  .  .  .  . .  . .  .  1 1 ...... #> ADAMTS1          . .  2  .  .  .  . .  . .  1  . . ...... #> ADAMTS10         . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS13         . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS15         1 .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS16         . .  2  .  .  .  . .  . .  .  . . ...... #> ADAMTS17         . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS18         . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS19         . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS2          . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS5          . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS6          . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS7          . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS8          . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTS9          . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTSL1         . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTSL2         . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTSL4         . .  .  .  .  .  . .  . .  .  . . ...... #> ADAMTSL5         . .  .  .  .  .  . .  . .  .  . . ...... #> ADAP1            . .  .  .  .  .  . .  . .  .  . . ...... #> ADAP2            . .  .  .  .  .  . .  . .  .  . . ...... #> ADAR             . .  .  .  .  .  . .  . .  .  . . ...... #> ADARB1           . .  .  .  .  .  . .  . .  .  . . ...... #> ADAT1            . .  .  .  .  .  . .  . .  .  . . ...... #> ADAT2            . .  .  .  .  .  . .  . .  1  . . ...... #> ADCK1            . .  .  .  .  .  . .  . .  .  . . ...... #> ADCK2            . .  .  .  .  .  . .  . .  .  . . ...... #> ADCK5            1 .  .  .  .  .  . .  3 1  .  . . ...... #> ADCY1            . .  .  .  .  .  . .  . .  .  . . ...... #> ADCY2            . .  .  .  .  .  . .  . .  .  . . ...... #> ADCY3            . .  .  .  .  .  . .  . .  .  . . ...... #> ADCY5            . .  .  .  .  .  . 1  . .  .  . . ...... #> ADCY6            . .  .  .  .  .  . .  . .  .  . . ...... #> ADCY8            . .  .  .  .  .  . .  . .  .  . . ...... #> ADCY9            . .  .  .  .  .  . .  . .  .  . 1 ...... #> ADCYAP1R1        . .  .  .  .  .  . .  . .  .  . . ...... #> ADD1             . 2  .  1  1  .  . .  . .  .  . 1 ...... #> ADD2             . .  .  .  .  .  . .  . .  .  . . ...... #> ADD3             . .  .  .  .  .  . .  . .  .  . . ...... #> ADGB             1 .  .  .  .  .  . .  . .  .  . . ...... #> ADGRA1           . .  .  .  .  .  . .  . 1  .  . . ...... #> ADGRA2           . .  .  .  .  .  . .  . .  .  . . ...... #> ADGRA3           . .  .  .  .  .  . .  . .  .  1 . ...... #> ADGRB1           . .  .  .  .  .  . .  . .  .  . . ...... #> ADGRB3           . .  .  .  .  .  . .  . .  .  . . ...... #> ADGRE5           . .  .  .  .  .  . .  . .  .  . . ...... #> ADGRF5           . .  .  .  .  .  . .  . .  .  . . ...... #> ADGRG1           . .  .  .  1  .  1 .  2 .  1  1 1 ...... #> ADGRG2           . .  .  .  .  .  . .  . .  .  . . ...... #> ADGRG3           . .  .  .  .  .  . .  . .  .  . . ...... #> ADGRG6           . .  .  .  .  .  . .  1 .  .  . . ...... #> ADGRL1           . .  .  .  .  .  . .  . .  .  . . ...... #> ADGRL2           . .  .  .  .  .  . .  . .  .  . . ...... #> ADGRL3           . .  .  .  .  .  . .  . .  .  . . ...... #> ADGRV1           . .  .  .  .  .  . .  . .  .  . . ...... #> ADH1A            . .  .  .  .  .  . .  . .  .  . . ...... #> ADH1B            . .  .  .  .  .  . .  . .  .  . . ...... #> ADH1C            . .  .  .  .  .  . .  . .  .  . . ...... #> ADH5             2 .  4  1  .  .  3 2  2 .  6  2 1 ...... #> ADH7             . .  .  .  .  .  . .  . .  .  . . ...... #> ADI1             1 .  .  .  .  .  . .  . .  .  . . ...... #> ADIPOR1          2 4  .  1  2  1  1 .  3 3  2  . 1 ...... #> ADIPOR2          1 .  .  .  .  .  . .  . .  .  . . ...... #> ADK              1 2  .  .  .  .  1 .  . .  2  . . ...... #> ADM              . .  .  .  .  .  . .  . .  .  . . ...... #> ADM2             . .  .  .  .  .  . .  . .  .  . . ...... #> ADNP2            . .  .  .  .  .  . .  . .  .  . . ...... #> ADO              . .  .  .  .  .  . 2  1 .  .  . . ...... #> ADORA1           . .  .  .  .  .  . .  . .  .  . . ...... #> ADORA2A          . 2  .  .  .  1  . .  . 1  .  . . ...... #> ADORA2B          . .  .  .  .  .  . .  . .  .  . . ...... #> ADPGK            . .  .  .  .  .  1 .  1 .  2  . . ...... #> ADPRH            . .  .  1  .  .  . 1  . 1  .  1 . ...... #> ADPRM            . .  .  .  .  .  . .  . .  .  . . ...... #> ADRA2A           . .  .  .  .  .  . .  . .  .  . 1 ...... #> ADRA2C           . .  .  .  .  .  . .  . .  .  . . ...... #> ADRB1            . .  .  .  .  .  . .  . .  .  . . ...... #> ADRB2            . .  .  .  .  .  . 2  . .  .  . . ...... #> ADRM1            1 1  .  1  .  .  . 2  3 .  3  1 1 ...... #> ADSL             . .  .  .  .  .  1 .  . .  1  . . ...... #> ADSS1            . .  .  .  .  .  . .  . .  1  . . ...... #> ADSS2            . .  1  2  .  1  . .  . .  1  . . ...... #> AEBP1            . .  .  .  .  .  . .  . .  .  . . ...... #> AEBP2            . .  .  .  .  .  . .  . .  .  . . ...... #> AEN              . .  .  .  .  .  . .  . .  .  . . ...... #> AF196969.1       . .  .  1  .  .  . .  . .  1  1 . ...... #> AF241726.1       7 3  .  3  1  5  1 4  . 1  .  1 5 ...... #> AFAP1            2 .  .  .  .  .  . 1  . .  .  . . ...... #> AFAP1L1          . .  .  .  .  .  . .  . .  .  . . ...... #> AFAP1L2          . .  .  .  .  .  . .  . .  .  . . ...... #> AFF1             . .  .  .  .  .  . 1  . .  .  . . ...... #> AFF2             . .  .  .  .  .  . .  . .  .  . . ...... #> AFF3             . .  .  .  .  .  . .  . .  .  . . ...... #> AFF4             . .  .  .  1  .  2 .  . 1  1  . . ...... #> AFG3L2           . .  .  .  .  .  . .  . 2  .  . . ...... #> AFM              . .  1  .  .  .  . .  . .  .  . . ...... #> AFP              . .  .  .  .  .  . .  . .  .  . . ...... #> AFTPH            1 .  .  .  .  .  . .  . .  .  . . ...... #> AGA              . 1  1  .  .  .  . 1  1 .  .  . . ...... #> AGAP1            . .  .  .  .  1  . .  . .  .  . 1 ...... #> AGAP3            1 .  .  1  .  .  . 1  . .  .  . . ...... #> AGBL3            . .  .  .  .  .  . .  . .  .  . . ...... #> AGBL4            . .  .  .  .  .  . .  . .  .  . . ...... #> AGBL5            . .  .  .  1  .  . .  . .  .  . . ...... #> AGER             . .  .  .  .  .  . .  . .  .  . . ...... #> AGFG1            1 .  .  1  1  .  . .  . .  .  . . ...... #> AGFG2            . .  .  .  .  .  2 .  . 1  .  . . ...... #> AGGF1            . 2  1  .  1  .  . 2  1 1  1  . 1 ...... #> AGK              . .  .  .  1  .  . .  . .  .  . . ...... #> AGL              . .  .  .  .  .  . .  . .  .  . . ...... #> AGMAT            . .  .  .  .  .  . .  . .  .  . . ...... #> AGMO             . .  .  .  .  .  . .  . .  .  . . ...... #> AGO1             . .  .  .  1  .  1 1  . .  .  . . ...... #> AGO2             . .  .  .  1  .  . .  . .  .  . 1 ...... #> AGO3             . .  .  .  .  .  . .  . .  .  . . ...... #> AGO4             . .  .  .  .  .  . .  . .  .  . . ...... #> AGPAT1           . .  .  .  1  1  . .  . .  .  . 1 ...... #> AGPAT2           . .  .  .  .  .  . 2  . .  .  . 1 ...... #> AGPAT3           . .  1  1  .  .  . .  . .  1  . . ...... #> AGPAT4           . 1  .  .  1  1  . 2  1 .  .  1 . ...... #> AGPAT5           . .  .  .  1  .  . .  . .  1  . 1 ...... #> AGPS             . .  .  .  .  .  . .  . .  .  . . ...... #> AGR2             . .  .  .  .  .  . .  . .  .  . . ...... #> AGRN             . 1  .  .  1  .  . .  . .  .  . . ...... #> AGRP             . .  .  .  .  .  . .  . .  .  . . ...... #> AGT              . .  .  .  .  .  . .  . .  .  . 2 ...... #> AGTPBP1          . .  .  .  .  .  . .  . .  .  . . ...... #> AGTR1            . .  .  .  .  .  . .  . .  .  . . ...... #> AGTRAP           . .  .  .  1  .  . .  . 1  .  . 1 ...... #> AGXT             . .  .  .  .  .  . .  . .  .  . . ...... #> AHCTF1           . .  .  .  .  .  . .  . .  .  . . ...... #> AHCY             . .  .  .  .  .  . .  1 .  .  . . ...... #> AHCYL1           1 .  .  1  .  .  2 2  1 1  .  . 2 ...... #> AHCYL2           1 .  1  .  .  .  . .  . .  .  . 1 ...... #> AHDC1            . .  .  .  .  .  . .  . .  .  . 1 ...... #> AHI1             . .  1  .  1  .  1 .  . 3  .  . . ...... #> AHNAK            . .  .  .  .  .  . .  . .  .  . . ...... #> AHNAK2           . .  .  .  .  .  . .  . .  .  . . ...... #> AHR              . .  .  .  .  .  . .  . .  .  . . ...... #> AHSA1            . 2  .  1  .  1  2 2  3 2  1  . 3 ...... #> AHSG             . .  .  .  .  .  . .  . .  .  . . ...... #> AIDA             . .  1  .  .  .  . 1  . .  .  . . ...... #> AIF1             . .  .  .  .  .  . .  . .  .  . . ...... #> AIF1L            . .  .  .  .  .  . .  . .  .  . . ...... #> AIFM1            . .  .  .  .  2  . .  . .  .  . . ...... #> AIFM2            . .  .  .  .  .  1 .  . .  .  . . ...... #> AIFM3            . .  .  .  .  .  . .  . .  .  . . ...... #> AIG1             . .  1  .  .  1  2 1  2 .  .  . . ...... #> AIMP1            . 1  1  .  3  .  . 1  2 .  3  2 . ...... #> AIMP2            1 .  1  .  .  .  . 1  1 .  .  . . ...... #> AIP              . 1  .  .  .  .  1 1  1 .  .  . 2 ...... #> AIPL1            . .  .  .  .  .  . .  . .  .  . . ...... #> AIRE             . .  .  .  .  .  . .  . .  .  . . ...... #> AJAP1            . .  .  .  .  .  . .  . .  .  . . ...... #> AJUBA            . .  .  .  .  .  . .  . .  .  . . ...... #> AK1              . .  .  .  .  1  2 .  . .  .  . . ...... #> AK2              . .  .  1  .  .  2 1  1 1  1  1 . ...... #> AK3              . 1  .  .  .  .  . .  . .  .  . . ...... #> AK4              . .  .  .  .  .  . .  . .  .  . . ...... #> AK5              . .  .  .  .  .  . .  . .  .  . . ...... #> AK7              . .  .  .  .  .  . .  . .  .  . . ...... #> AK8              . .  .  1  .  .  . .  . .  .  . . ...... #> AKAP1            . .  .  .  .  .  . .  . .  .  . . ...... #> AKAP10           . .  .  .  .  .  . .  . .  .  . . ...... #> AKAP11           . .  .  1  .  .  . 1  . .  .  . . ...... #> AKAP12           . .  .  .  .  .  . .  . .  .  . . ...... #> AKAP13           . .  .  1  .  1  . .  1 .  .  1 . ...... #> AKAP5            . .  .  .  .  .  . .  . .  .  . . ...... #> AKAP7            . 1  .  .  .  .  . .  . 1  .  . . ...... #> AKAP8            . .  .  .  .  .  . 1  . 1  .  . . ...... #> AKAP8L           2 .  .  .  2  1  3 1  . .  .  1 . ...... #> AKAP9            1 .  1  .  3  3  1 3  2 1  .  . . ...... #> AKIP1            . .  1  .  .  .  . 1  . .  1  . . ...... #> AKIRIN1          1 1  .  1  1  .  1 .  1 1  1  . 1 ...... #> AKIRIN2          1 1  2  1  1  1  4 2  1 3  .  2 3 ...... #> AKNA             . .  .  .  .  .  . .  . .  .  . . ...... #> AKR1A1           3 1  4  4  6  2  4 3  5 4  9  5 1 ...... #> AKR1B1           . .  .  .  .  .  . .  . .  .  1 . ...... #> AKR1B10          . .  .  .  .  .  . .  . .  .  . . ...... #> AKR1E2           . 1  .  1  .  .  . 1  . 1  .  . 1 ...... #> AKR7L            . .  1  .  .  1  1 1  1 2  2  2 . ...... #> AKT1             . .  .  1  .  1  . 1  1 1  .  . . ...... #> AKT1S1           1 .  1  2  2  .  . 3  . 1  2  . . ...... #> AKT2             . 1  .  .  .  .  . .  . .  .  . . ...... #> AKT3             . .  .  .  1  .  . .  . .  .  . . ...... #> AKTIP            . .  .  .  .  .  . .  . .  .  . 1 ...... #> AL033529.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL035461.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AL049629.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AL049634.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AL049697.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL049779.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL049844.3       1 1  .  .  1  .  . .  . 1  .  . . ...... #> AL096711.2       . .  .  .  .  .  . 1  . .  .  . . ...... #> AL110118.1       . .  1  .  .  .  . .  . .  1  . . ...... #> AL117348.2       . 3  .  1  .  .  4 1  . 1  1  . 3 ...... #> AL132671.2       . 2  .  .  .  .  . .  2 .  .  . . ...... #> AL132780.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AL133352.1       4 1  2  3  1  1  3 4  6 3  6  . 9 ...... #> AL133500.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL136295.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL136295.3       . 1  1  1  .  .  . .  . .  .  . 2 ...... #> AL136295.4       . .  .  .  .  .  . .  . .  .  . . ...... #> AL136295.5       . 1  .  .  .  .  . 1  . .  .  . . ...... #> AL138752.2       . .  .  .  .  .  . 1  . 1  .  . . ...... #> AL139142.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AL139260.3       . .  2  .  .  .  . 1  . .  .  1 2 ...... #> AL157392.5       . .  .  .  .  1  1 .  1 .  1  . . ...... #> AL157935.2       . 1  .  .  .  .  . .  . .  .  . . ...... #> AL159163.1       1 2  1  .  .  3  . .  5 .  2  . . ...... #> AL160269.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL162231.3       . .  .  1  .  .  . 1  . .  .  . . ...... #> AL162417.1       . .  .  .  .  .  1 .  . .  .  . 1 ...... #> AL162596.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL353671.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL355312.5       . .  .  .  .  .  . .  . .  .  . . ...... #> AL355315.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL355916.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AL357075.4       1 .  .  1  .  .  . .  . .  .  1 . ...... #> AL357673.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL358113.1       . .  .  .  1  .  . .  . .  1  . . ...... #> AL358472.6       . .  .  .  .  .  . .  . .  .  . . ...... #> AL358472.7       2 .  .  1  3  .  . 3  1 4  1  1 1 ...... #> AL359736.1       1 .  .  .  .  .  . .  1 .  .  . . ...... #> AL360181.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AL365205.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL391628.1       2 .  .  .  .  .  . .  . .  .  . 1 ...... #> AL445524.2       1 .  .  .  .  .  1 .  . 1  .  . . ...... #> AL445685.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AL451062.2       . .  .  1  .  .  . 1  . .  .  . . ...... #> AL451136.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL512506.3       . .  .  .  .  .  . .  . .  .  . . ...... #> AL512785.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AL590132.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL592183.1       1 1  1  2  1  .  . .  . 2  2  . 2 ...... #> AL603832.3       1 .  2  .  .  .  . 1  . .  1  1 . ...... #> AL645941.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AL662899.1       . .  .  .  .  .  . 1  . .  .  . . ...... #> AL662899.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AL669918.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL807752.7       . .  .  .  .  .  . .  . .  .  . . ...... #> AL845331.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AL928654.3       . .  .  .  .  1  . .  . .  .  1 . ...... #> ALAD             1 .  1  .  .  1  . .  . .  .  . . ...... #> ALAS1            . .  .  1  .  .  1 1  . .  1  . . ...... #> ALB              . .  .  .  .  .  . .  . .  .  . . ...... #> ALCAM            . .  .  .  .  1  1 .  . .  1  . . ...... #> ALDH16A1         . .  .  .  .  .  1 .  . .  .  . . ...... #> ALDH18A1         . .  1  .  .  .  . .  . .  .  . . ...... #> ALDH1A1          . .  1  .  .  .  . .  . .  .  . . ...... #> ALDH1A2          . .  .  .  .  .  . .  . .  .  . . ...... #> ALDH1A3          . .  .  .  .  .  . .  . .  .  . . ...... #> ALDH1B1          . .  1  .  .  .  . .  5 .  .  . 1 ...... #> ALDH1L1          . .  .  .  .  .  . .  . .  .  . . ...... #> ALDH2            . .  .  .  .  .  . .  1 1  1  . . ...... #> ALDH3B1          . .  .  .  .  .  . .  . .  .  . . ...... #> ALDH3B2          . .  .  .  .  .  . .  . .  .  . . ...... #> ALDH4A1          . .  .  .  .  .  . .  . .  .  . . ...... #> ALDH5A1          1 .  .  .  .  .  . .  . .  2  . 1 ...... #> ALDH6A1          . .  .  .  .  .  . .  . .  .  . . ...... #> ALDH7A1          . 1  .  .  .  .  . .  1 1  1  . 1 ...... #> ALDH9A1          . .  .  .  .  .  1 .  . .  .  . . ...... #> ALDOA            3 4  1  4  3  1  3 5  4 6  5  1 6 ...... #> ALDOB            . .  .  .  .  .  . .  . .  .  . . ...... #> ALDOC            . .  3  .  .  .  1 .  . .  .  . 1 ...... #> ALG1             . .  .  .  .  .  . .  . .  .  . 1 ...... #> ALG10            . .  .  .  .  .  . .  . .  .  . . ...... #> ALG10B           . .  .  .  .  .  . .  . .  .  . . ...... #> ALG11            . .  .  .  .  .  . .  . .  .  . . ...... #> ALG12            . .  .  .  .  .  . .  . .  .  . . ...... #> ALG13            . .  .  .  .  .  . .  . .  .  . . ...... #> ALG14            1 .  1  .  .  .  . .  . .  .  . . ...... #> ALG1L            . .  .  .  .  .  . .  . .  .  . 1 ...... #> ALG1L2           . .  .  .  .  .  . .  . .  .  . 1 ...... #> ALG2             . .  .  .  .  .  . .  . .  .  . . ...... #> ALG3             . .  1  .  .  .  . 1  1 .  .  . 1 ...... #> ALG5             . .  .  .  1  .  . 1  1 .  .  1 . ...... #> ALG6             . .  .  .  .  .  . .  . .  .  . . ...... #> ALG8             . .  .  .  .  .  1 .  . .  .  . . ...... #> ALG9             . .  .  .  .  .  1 .  . .  .  . . ...... #> ALKBH1           1 .  .  .  .  .  . .  . .  1  . . ...... #> ALKBH2           . .  .  .  .  .  . .  . .  1  . 1 ...... #> ALKBH3           . .  .  .  .  .  . 1  . .  .  . . ...... #> ALKBH4           . .  .  .  .  .  1 .  . .  .  . . ...... #> ALKBH5           1 2  .  .  2  .  . 1  2 .  1  . . ...... #> ALKBH6           . 2  1  1  .  .  1 1  . 1  .  . 1 ...... #> ALKBH7           . .  1  .  .  1  2 .  . 1  .  . . ...... #> ALKBH8           . .  .  .  1  .  . .  . .  .  . . ...... #> ALLC             . .  .  .  .  .  . .  . .  .  . . ...... #> ALMS1            . .  .  .  .  .  . .  . .  .  . . ...... #> ALOX12           . .  .  .  .  .  . .  . .  1  . . ...... #> ALOX15B          . .  .  .  .  .  . .  . .  .  . . ...... #> ALOX5            . .  .  .  .  .  . .  . .  .  . . ...... #> ALOX5AP          . .  .  .  .  .  . .  . .  .  . . ...... #> ALOXE3           . .  .  .  .  .  . .  . .  .  . . ...... #> ALPK1            . .  .  .  .  .  . .  . .  .  . . ...... #> ALPK3            . .  .  .  .  .  . .  . .  .  . . ...... #> ALPL             . .  .  .  .  .  . .  . .  .  . . ...... #> ALS2             . .  .  .  .  .  . .  . .  .  . . ...... #> ALS2CL           . .  .  .  .  .  . .  . .  .  . . ...... #> ALX3             . .  .  .  .  .  . .  . .  .  . . ...... #> ALYREF           . 2  .  .  .  1  2 2  . .  2  . . ...... #> AMACR            . .  .  .  .  .  . .  . .  .  . . ...... #> AMBP             2 .  5  1  .  .  . 4 10 .  7  . . ...... #> AMBRA1           . .  .  .  .  .  . .  . .  .  . . ...... #> AMD1             1 .  .  .  .  .  . .  . .  1  . . ...... #> AMDHD1           . .  .  .  .  .  . .  . .  .  . . ...... #> AMDHD2           . .  .  .  .  .  . 1  . 3  .  1 . ...... #> AMER1            . .  .  .  .  .  1 .  2 2  .  . . ...... #> AMER2            . .  .  .  .  .  . .  . .  .  . . ...... #> AMER3            . .  .  .  .  .  . .  . .  .  . . ...... #> AMFR             2 1  .  .  .  .  . .  . 1  .  1 . ...... #> AMH              . .  .  .  .  .  . .  . .  .  . . ...... #> AMHR2            . .  .  .  .  .  . .  . .  .  . . ...... #> AMIGO1           . .  .  .  .  .  . .  . .  .  . . ...... #> AMIGO2           . 2  .  .  .  .  1 .  . 1  .  . . ...... #> AMIGO3           . .  .  .  .  .  . .  . .  .  . . ...... #> AMMECR1          . .  .  .  .  .  . .  . .  1  . 1 ...... #> AMMECR1L         . .  .  1  1  1  . .  . 1  2  1 . ...... #> AMN              . .  .  .  .  .  . .  . .  .  . . ...... #> AMN1             . 1  .  1  .  .  . .  1 2  .  . . ...... #> AMOT             . .  .  .  .  .  . .  . .  .  . . ...... #> AMOTL1           . .  .  .  .  .  . .  1 .  .  . . ...... #> AMOTL2           . .  1  .  1  .  . .  1 .  1  . . ...... #> AMPD2            . .  .  .  .  .  . .  . .  .  . . ...... #> AMPH             . .  .  .  .  .  . .  . .  .  . . ...... #> AMT              . 1  .  .  .  .  . .  . .  .  . . ...... #> AMZ1             . .  .  .  .  .  . .  . .  .  . . ...... #> AMZ2             . .  1  .  .  .  . .  . 1  .  . . ...... #> ANAPC1           . .  .  .  .  .  . .  . 1  1  . . ...... #> ANAPC10          . .  2  .  .  .  . .  . .  2  1 1 ...... #> ANAPC13          1 .  4  1  .  .  . .  1 2  3  . 1 ...... #> ANAPC15          . .  .  .  .  .  . .  . .  1  . . ...... #> ANAPC16          1 3  1  2  2  .  1 .  1 2  .  1 3 ...... #> ANAPC2           . .  .  .  .  .  1 .  . .  1  . 1 ...... #> ANAPC4           . 2  .  1  .  .  1 1  . .  .  . . ...... #> ANAPC5           1 4  3  1  .  1  . .  2 1  7  2 3 ...... #> ANAPC7           . .  1  1  .  .  . .  . .  .  . . ...... #> ANGEL1           . .  .  .  .  .  . .  . .  .  . . ...... #> ANGEL2           . .  1  .  1  2  . .  1 .  1  . . ...... #> ANGPT1           . .  .  .  .  .  . .  . .  .  . . ...... #> ANGPT2           . .  .  .  .  .  . .  . .  .  . . ...... #> ANGPTL1          . .  .  .  .  .  . .  . .  1  . . ...... #> ANGPTL2          . .  .  .  .  .  . .  . .  .  . . ...... #> ANGPTL3          . .  .  .  .  .  . .  . .  .  . . ...... #> ANGPTL4          . .  .  .  .  .  . .  . .  .  . . ...... #> ANGPTL6          . .  .  .  .  .  . .  . .  .  . . ...... #> ANGPTL7          . .  .  .  .  .  . .  . .  .  . . ...... #> ANGPTL8          . .  .  .  .  .  . .  . .  .  . . ...... #> ANK1             . .  .  .  .  .  . .  . .  .  . . ...... #> ANK2             . .  .  1  .  .  . .  . .  .  . . ...... #> ANK3             . .  1  .  .  .  . .  . .  .  . . ...... #> ANKEF1           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKFY1           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKH             2 1  .  .  .  2  1 1  . 2  1  1 1 ...... #> ANKHD1           . .  .  .  .  .  . .  1 .  .  . . ...... #> ANKHD1-EIF4EBP3  . .  .  .  .  .  . .  1 .  .  . . ...... #> ANKIB1           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKLE1           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKLE2           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKMY2           1 .  .  .  .  .  1 .  . 1  2  . . ...... #> ANKRA2           . .  .  .  .  .  1 .  . .  .  1 . ...... #> ANKRD1           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD10          . 1  .  1  .  .  . .  . .  .  1 . ...... #> ANKRD11          . 2  .  .  .  .  . .  2 .  .  1 1 ...... #> ANKRD12          . 1  .  1  .  .  . 2  1 .  .  . 1 ...... #> ANKRD13A         1 .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD13B         . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD13C         . 1  .  .  .  .  . .  . .  .  . . ...... #> ANKRD13D         . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD16          . .  .  .  .  .  . 1  . .  .  1 . ...... #> ANKRD17          . .  .  .  2  1  1 .  . .  .  1 . ...... #> ANKRD2           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD24          . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD27          . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD28          . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD29          . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD31          . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD33B         . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD34B         . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD34C         . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD35          . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD37          1 .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD39          . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD40          . .  .  .  .  .  . 1  . .  .  . . ...... #> ANKRD44          1 2  .  .  1  1  . .  . .  .  1 . ...... #> ANKRD45          . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD46          . .  .  .  .  .  . .  1 .  1  . . ...... #> ANKRD49          . .  .  .  1  .  . .  . .  .  . . ...... #> ANKRD50          . .  .  .  .  .  . 1  . .  .  . . ...... #> ANKRD54          2 1  .  .  1  .  . .  . 1  .  2 2 ...... #> ANKRD55          . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD6           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKRD9           . .  .  .  .  .  . .  1 .  .  . . ...... #> ANKS1A           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKS1B           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKS3            . 1  .  1  .  .  . .  . .  .  . . ...... #> ANKS4B           . .  .  .  .  .  . .  . .  .  . . ...... #> ANKS6            . .  .  .  .  .  . .  1 .  .  . . ...... #> ANKZF1           . .  .  .  .  .  . .  . .  .  1 . ...... #> ANLN             . .  .  .  .  .  . .  . .  .  . . ...... #> ANO1             . .  .  .  .  .  . .  . .  .  . . ...... #> ANO10            . .  .  1  .  .  . .  . .  .  . . ...... #> ANO2             . .  .  .  .  .  . .  . .  .  . . ...... #> ANO6             . .  1  .  .  .  . .  . .  .  . . ...... #> ANO7             . .  .  .  .  .  . .  . .  .  . . ...... #> ANO8             . .  .  .  .  .  . .  . .  .  1 . ...... #> ANO9             . .  .  .  .  .  . .  . .  .  . . ...... #> ANP32A           1 2  2  2  3  .  3 2  3 3  7  2 . ...... #> ANP32B           2 1  4  2  .  1  2 6  2 1  2  1 1 ...... #> ANP32D           1 2  2  2  3  .  3 2  3 3  7  2 . ...... #> ANP32E           . 1  1  .  .  .  . 1  2 .  3  . 1 ...... #> ANPEP            . 1  1  .  .  .  . .  . .  2  . . ...... #> ANTXR1           . .  .  .  .  .  . .  . .  .  . . ...... #> ANTXR2           . .  .  .  .  .  . .  . .  .  . . ...... #> ANXA1            . .  .  .  .  .  . .  . .  .  . . ...... #> ANXA10           . .  .  .  .  .  . .  . .  .  . . ...... #> ANXA11           . .  .  .  .  .  . .  . .  .  . . ...... #> ANXA13           . .  .  .  .  .  . .  . .  .  . . ...... #> ANXA2            . .  3  .  .  .  . .  1 .  3  . . ...... #> ANXA3            . .  .  .  .  .  . .  . .  .  . . ...... #> ANXA4            5 4  2  .  1  1  5 1  1 6  1  2 6 ...... #> ANXA5            1 2  1  2  .  1  . .  . 2  .  . . ...... #> ANXA6            1 .  2  3  1  2  . .  1 .  3  . . ...... #> ANXA7            . 2  1  1  1  .  1 .  1 .  .  . 1 ...... #> ANXA8            . .  .  .  .  .  . .  . .  .  . . ...... #> ANXA8L1          . .  .  .  .  .  . .  . .  .  . . ...... #> ANXA9            . .  .  .  .  .  . .  . .  .  . . ...... #> AOC1             . .  .  .  .  .  . .  . .  .  . . ...... #> AOC2             . .  .  .  .  .  . .  . .  .  . . ...... #> AP000295.1       . .  3  .  .  .  1 .  . 1  2  . . ...... #> AP000311.1       2 3  7  5  4  .  5 3  3 3  4  1 4 ...... #> AP000356.5       1 .  .  .  1  .  . 3  2 1  6  . 2 ...... #> AP000944.5       . .  .  .  .  .  . .  . .  .  . . ...... #> AP001267.5       1 .  .  .  2  .  . 2  . .  .  2 . ...... #> AP001273.2       1 .  .  .  .  .  1 .  . 1  1  . . ...... #> AP001453.3       9 1  1  1  .  1  2 1  . .  4  . 6 ...... #> AP001781.2       . .  .  .  .  .  1 .  . .  .  . . ...... #> AP001931.2       . .  .  .  .  .  . .  . .  .  . . ...... #> AP002373.1       1 1  .  .  .  2  . 2  1 1  2  1 . ...... #> AP002495.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AP002748.5       . .  .  .  .  .  . .  . 1  .  . . ...... #> AP002884.2       3 4  2  .  .  1  1 3  1 1  5  5 2 ...... #> AP002990.1       . .  .  .  .  .  . .  . .  .  . . ...... #> AP003419.1       . 1  .  2  .  .  1 2  . 1  .  1 . ...... #> AP1AR            1 .  .  .  .  .  . .  . .  .  . . ...... #> AP1B1            . .  1  1  .  .  . .  . .  .  . . ...... #> AP1G1            1 .  .  .  .  .  . .  1 1  .  . 1 ...... #> AP1G2            . .  .  .  .  .  . .  . .  .  . . ...... #> AP1M1            . .  .  .  1  1  . .  . 1  .  4 . ...... #> AP1M2            . 1  1  2  .  .  1 1  1 1  1  1 . ...... #> AP1S1            3 1  2  .  1  .  . 2  . 1  3  . 1 ...... #> AP1S2            . .  .  .  .  .  . .  . .  .  . 1 ...... #> AP1S3            . .  .  .  .  .  . 1  . .  .  . . ...... #> AP2A1            1 .  1  2  .  1  2 .  . .  .  . . ...... #> AP2A2            . .  1  .  .  .  . .  1 .  .  . . ...... #> AP2B1            . .  .  1  .  .  . .  1 .  .  . . ...... #> AP2M1            . .  4  2  4  2  4 2  . 4  3  4 2 ...... #> AP2S1            3 1  3  2  3  1  1 3  1 3  4  1 3 ...... #> AP3B1            . .  .  .  1  .  . 1  2 .  .  . . ...... #> AP3B2            1 .  .  .  .  .  1 .  . .  .  . . ...... #> AP3D1            . .  .  .  .  .  1 .  . 2  .  . . ...... #> AP3M1            1 .  1  .  .  .  1 .  . .  1  . . ...... #> AP3M2            . .  .  .  .  .  1 .  . .  .  . . ...... #> AP3S1            3 2  .  2  .  .  1 1  . .  .  1 2 ...... #> AP3S2            . .  .  2  1  1  . .  1 .  .  1 1 ...... #> AP4E1            . .  .  .  .  .  . .  . .  .  . . ...... #> AP4M1            . .  .  .  .  .  . .  . .  .  . . ...... #> AP4S1            . .  1  .  .  .  . 2  . .  .  . . ...... #> AP5B1            . .  .  .  .  .  . .  . .  .  . . ...... #> AP5M1            . .  .  .  .  .  . .  . .  .  . . ...... #> AP5S1            . .  .  .  .  .  1 .  . 1  .  . . ...... #> AP5Z1            . .  .  .  1  .  . .  . .  .  . . ...... #> APAF1            . .  .  .  .  .  . .  . .  .  . . ...... #> APBA1            . .  .  .  .  .  1 .  . .  .  . . ...... #> APBA2            . .  .  .  .  .  . .  . .  .  . . ...... #> APBA3            . .  .  .  .  .  . .  1 1  .  . . ...... #> APBB1            1 .  .  .  1  .  1 .  . 1  .  . 2 ...... #> APBB1IP          . .  .  .  .  .  . .  . .  .  . . ...... #> APBB2            . .  .  1  3  .  . 1  . .  .  . . ...... #> APC              . .  .  .  .  .  . .  . .  .  . . ...... #> APC2             . .  .  .  .  .  . .  . .  .  . . ...... #> APCS             . .  .  .  .  .  . .  . .  .  . . ...... #> APEH             . .  .  .  .  .  1 .  . .  .  1 . ...... #> APEX1            . .  3  .  .  .  . 1  1 1  2  1 . ...... #> APEX2            . .  .  .  .  .  . .  . .  .  . . ...... #> APH1A            . .  1  1  .  .  . .  . .  .  . . ...... #> APH1B            . .  .  .  .  .  . .  . .  .  . . ...... #> API5             . .  .  .  1  .  . .  . .  .  . . ...... #> APIP             . 1  1  .  .  .  1 .  . .  2  . 1 ...... #> APLF             . .  .  .  .  .  . .  . .  .  . . ...... #> APLP1            5 3  . 11  5  7 10 5  . 3  . 12 8 ...... #> APLP2            . .  1  .  .  1  . .  2 2  .  1 . ...... #> APMAP            . .  .  .  1  .  . .  . .  .  . . ...... #> APOA1            . .  .  .  .  .  . .  . .  .  . . ...... #> APOA2            1 .  .  .  .  .  . .  . .  .  . 1 ...... #> APOBEC1          . .  .  .  .  .  . .  . .  .  . . ...... #> APOBEC2          . .  .  .  .  .  . .  . .  .  . . ...... #> APOBEC3H         . .  .  .  .  .  . .  . .  .  . . ...... #> APOBEC4          . .  .  .  .  .  . .  . .  .  . . ...... #> APOBR            . .  .  .  .  .  . .  . .  .  . . ...... #> APOC1            . .  .  .  .  .  . .  2 .  2  . . ...... #> APOC3            . .  .  .  .  .  . .  . .  .  . . ...... #> APOD             . .  .  .  .  .  . .  . .  .  . . ...... #> APOE             . .  .  .  .  .  . .  . .  .  . . ...... #> APOF             . .  .  .  .  .  . .  . .  .  . . ...... #> APOH             . .  .  .  .  .  . .  . .  .  . . ...... #> APOL1            . .  .  .  .  .  . .  . .  .  . . ...... #> APOL2            . .  .  .  .  .  . .  . .  .  . . ...... #> APOL3            . .  .  .  .  .  . .  . .  .  . . ...... #> APOL4            . .  .  .  .  .  . .  . .  .  . . ...... #> APOL6            . .  .  .  .  .  . .  . .  .  . . ...... #> APOLD1           . .  .  .  .  .  . .  . .  .  . . ...... #> APOM             . .  .  .  .  .  . .  . .  .  . . ...... #> APOO             . .  .  1  .  .  . 2  . 1  .  1 1 ...... #> APOOL            . 2  1  2  .  .  . .  1 .  1  . . ...... #> APP              1 4  .  1  .  .  2 2  2 4  2  1 3 ...... #> APPBP2           . 2  .  1  .  .  2 .  . .  2  . 1 ...... #> APPL1            . .  .  .  1  .  . .  . .  .  . . ...... #> APPL2            . 1  .  .  .  .  1 .  . .  1  . . ...... #> APRT             1 3  3  .  2  1  . 2  2 3  2  . 2 ...... #> APTX             . .  .  .  .  .  1 2  . .  .  . . ...... #> AQP1             . .  .  .  .  .  . .  . .  1  . . ...... #> AQP11            . .  .  .  .  .  . .  . .  .  . 1 ...... #> AQP12A           . .  .  .  .  .  . .  . .  .  . . ...... #> AQP12B           . .  .  .  .  .  . .  . .  .  . . ...... #> AQP3             . .  .  .  .  .  . .  . .  .  . . ...... #> AQP4             . .  .  .  .  .  . .  . .  .  . . ...... #> AQP7             . .  .  .  .  .  . .  . .  .  . . ...... #> AQP8             . .  .  .  .  .  . .  . .  .  . . ...... #> AQR              . .  1  .  .  .  . .  . .  .  . . ...... #> ARAF             . .  .  .  .  .  . .  . .  .  . . ...... #> ARAP1            . .  1  .  .  .  . .  . .  .  . . ...... #> ARAP2            . .  .  .  .  .  . 1  . .  .  . . ...... #> ARAP3            . .  .  .  .  .  . .  . .  .  . . ...... #> ARC              . 1  .  .  .  .  . .  . .  .  . . ...... #> ARCN1            1 .  .  .  .  .  1 1  . .  .  . 1 ...... #> AREG             . .  .  .  .  .  . .  . 1  .  . . ...... #> AREL1            . 1  .  .  .  .  . .  . .  .  . . ...... #> ARF1             3 3  3  9  4  2  1 7  5 4  5  1 2 ...... #> ARF3             . .  2  .  .  .  1 .  1 .  1  . 1 ...... #> ARF4             . .  .  .  .  .  . .  . .  .  . . ...... #> ARF5             6 7  2  8  6  4 13 4  7 8  9 11 5 ...... #> ARF6             . .  5  .  .  .  . 1  1 .  .  . . ...... #> ARFGAP1          . .  .  .  1  .  . .  . .  1  . . ...... #> ARFGAP2          . .  1  .  1  .  1 .  . .  2  . . ...... #> ARFGAP3          . 1  .  .  .  .  . .  . .  .  . . ...... #> ARFGEF1          1 .  .  .  .  .  . .  . .  .  1 1 ...... #> ARFGEF2          . 1  .  .  .  .  . .  . 1  .  . . ...... #> ARFGEF3          . .  .  .  .  .  . .  . .  .  . . ...... #> ARFIP1           . .  1  .  .  .  . .  . .  .  . 1 ...... #> ARFIP2           . 2  .  1  .  .  . .  . .  1  . . ...... #> ARFRP1           . 1  1  .  .  .  . .  . 1  1  . . ...... #> ARG1             . .  .  .  .  .  . .  . .  1  . . ...... #> ARG2             . .  .  .  .  .  . .  . .  .  . . ...... #> ARGLU1           . 1  1  1  .  .  2 1  . 2  .  1 . ...... #> ARHGAP1          1 1  .  .  .  1  . .  . .  .  . . ...... #> ARHGAP10         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP11A        . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP11B        . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP12         . .  .  .  .  .  . .  . .  .  . 1 ...... #> ARHGAP17         . .  .  .  .  .  . .  1 .  .  . . ...... #> ARHGAP18         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP19         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP19-SLIT1   . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP20         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP21         . .  .  .  .  .  . .  1 .  .  . . ...... #> ARHGAP22         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP23         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP24         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP26         . .  1  .  .  .  . .  . .  .  . . ...... #> ARHGAP27         . .  .  .  .  .  . .  . .  1  . . ...... #> ARHGAP28         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP29         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP31         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP32         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP33         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP35         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP36         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP39         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP4          . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP42         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP44         . .  .  .  .  .  . .  . .  .  . 1 ...... #> ARHGAP5          . .  3  1  .  .  1 .  . 1  .  . . ...... #> ARHGAP6          . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP8          . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGAP9          . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGDIA          2 5  1  .  1  .  1 3  1 2  4  1 4 ...... #> ARHGDIB          . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGDIG          1 .  .  .  .  .  . .  . .  .  . . ...... #> ARHGEF1          . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGEF10         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGEF10L        . .  .  .  .  .  . .  1 .  .  . . ...... #> ARHGEF11         1 1  .  .  .  .  . .  . .  .  . . ...... #> ARHGEF12         . .  .  .  .  .  . .  . .  .  . . ...... #> ARHGEF15         . .  .  .  .  .  1 .  . .  .  . . ...... #> ARHGEF16         . .  .  1  1  .  . .  . .  2  . . ...... #> ARHGEF17         . .  .  .  .  .  1 .  . .  .  . . ...... #>  #>  .............................. #>  ........suppressing 948 columns and 11697 rows in show(); maybe adjust 'options(max.print= *, width = *)' #>  .............................. #>   [[ suppressing 52 column names ‘CAGCCGAAGCGATATA’, ‘AGTGTCATCGCCGTGA’, ‘GATGAAAAGTTGTAGA’ ... ]] #>                                                                                                                                      #> UBR3          1 .  . .  . . .  1 1  1 .  .  .  1  .  .  . . . . . 1 1 . . . . 1  .  . .  .  . . . . . .  1 2 . 1 .  . . 1  .  1 .  . #> UBR4          . .  . .  1 . .  . 1  . .  .  .  1  .  .  . . . . . 1 1 1 . . . .  .  . .  .  . . . . . 1  2 . 1 . .  . . .  .  . .  . #> UBR5          1 .  . 1  1 1 .  1 .  . 2  .  .  1  .  .  . 1 . 1 1 . . . . . . 1  .  . .  .  . . . . . 3  1 . . 2 .  . . .  .  . .  . #> UBR7          . .  1 .  . . 1  1 .  1 1  .  1  .  .  1  . . . . . . . . . 1 . 1  .  . .  1  . . . . . .  . . . 1 .  . . .  .  . .  1 #> UBTD1         . .  . .  . . .  . .  . 1  .  .  .  1  .  . . . . . . . . . . 1 .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UBTD2         1 .  1 .  . . .  . .  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UBTF          . .  1 .  1 . 1  . .  . 1  1  .  .  .  .  . . 1 1 . . 1 . . . . .  .  . 1  2  . 1 . . . 1  . 4 3 . .  . . 2  .  . .  . #> UBXN1         . 3  2 2  3 . 1  3 .  . 2  3  1  .  1  4  2 1 1 2 1 1 1 1 3 1 1 2  2  1 2  1  5 3 3 2 1 3  3 . 3 2 1  2 1 3  5  1 1  5 #> UBXN10        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UBXN11        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . 1 .  1 . . . .  . . .  .  . .  . #> UBXN2A        . 1  . .  . . .  . .  . 1  .  .  1  2  .  . 1 . . . . . . . . . .  .  . .  .  . . . . . .  1 . . . 1  1 . 1  .  . .  . #> UBXN2B        . .  1 .  . . 1  . .  . .  1  .  1  .  2  1 . . . . . . . . 1 . .  1  . .  .  . 1 . . . .  . . . . .  . . .  .  . .  . #> UBXN4         2 3  3 3  3 . .  3 1  1 4  2  2  5  2  3  6 . . 3 4 5 . 4 1 1 . 2  3  2 1  .  1 . 2 5 1 .  2 1 . 3 2  . 2 1  5  1 .  2 #> UBXN6         . 2  . 1  1 . 2  . 1  . .  3  .  1  .  .  1 . . . 2 . 1 2 1 . . .  2  2 .  1  2 . 4 . . 2  . 2 . 1 .  1 1 .  .  . 1  1 #> UBXN7         1 .  . 1  . . .  1 .  . .  .  .  .  .  .  1 . . 1 . . . . . . . .  1  . .  1  . . . . . .  . . . . .  . . .  .  . .  . #> UBXN8         . .  . .  1 1 .  1 .  . .  .  .  .  .  .  . 2 . . . . . . . . . .  .  1 .  .  . . 1 1 . .  . . 1 . .  . . .  .  . 1  1 #> UCHL1         . .  . 1  . . 1  . .  1 .  .  .  3  .  .  . 1 . 2 1 . 1 3 . . . .  .  . .  .  2 . . . . .  1 1 . . .  1 . .  .  . .  . #> UCHL3         . .  3 .  3 . 2  1 .  . .  .  1  .  .  .  . . . 1 2 . . . 1 1 . .  .  2 .  2  . . . 2 . .  . . 1 . .  1 1 .  2  1 1  . #> UCHL5         2 .  . .  1 . .  . .  . .  .  .  .  .  1  . . 1 2 1 1 2 . . . . .  .  1 .  .  1 . . . . .  1 . . 1 1  . . .  .  . .  . #> UCK1          . .  . .  1 . .  . .  . .  1  .  .  1  .  2 . . . . . 1 . . . 1 1  1  . .  .  . . . . . .  1 . . . .  . . 1  .  1 .  . #> UCK2          . 2  2 .  . . .  1 .  . .  .  1  .  .  .  1 . . . . . . . . . . .  .  1 .  .  . . . . 1 1  . . . . .  . . .  .  . .  . #> UCKL1         1 .  1 .  . . .  . .  . .  1  .  .  .  1  1 . 1 . . . . . . . . 2  .  1 .  .  . 1 . 2 . .  . . . . .  . . .  2  . .  . #> UCN3          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . 1  1  . .  .  . . . . . .  1 1 . . .  . . .  .  . .  . #> UCP2          1 1  . 2  . 1 1  3 1  2 1  2  .  1  .  1  . 1 . . 1 . 1 . . 1 4 3  1  . .  1  . 3 2 1 . .  3 1 . 3 2  . . 1  1  2 1  1 #> UEVLD         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  1 . . . . .  . . . . .  . . .  .  . .  . #> UFC1          4 .  . 2  3 4 1  3 .  . .  1  1  .  2  4  3 . 2 . 3 2 2 5 . 1 . .  2  6 1  2  . 1 . 2 . 1  4 4 1 2 .  . 2 2  .  1 .  3 #> UFL1          . .  . .  . . .  . 2  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . 1  .  . . . . . 1  . 1 . 1 .  . 1 .  .  . 1  . #> UFM1          2 1  1 1  . 1 .  3 .  2 1  2  1  .  .  1  2 . . 1 . 4 2 3 . 1 . 1  2  2 2  .  1 . . 3 . 1  2 2 . . .  1 . .  1  . 1  . #> UFSP1         . .  . .  . . .  . .  . .  .  .  .  .  .  1 . . . . . . . . . . .  1  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UFSP2         . .  . .  1 . .  . .  . 1  .  .  2  .  .  1 . 1 . 1 . 1 . 1 . . .  .  1 .  .  . . 1 . . .  1 1 . . .  . . .  1  . 1  . #> UGCG          . .  . .  . . .  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UGDH          . .  . .  . . .  . .  . .  .  .  1  .  .  1 . 1 . 1 . . . . . . 1  .  1 1  .  . . . . . 1  . . . . .  . . 1  .  . .  . #> UGGT1         . .  . .  1 1 .  . .  . .  .  1  .  .  2  . . . . . 3 . . . . . 1  .  . .  .  . . . . . .  1 2 . . .  . . .  .  . .  . #> UGGT2         . .  . .  . . .  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  .  1 .  .  1 . . . . .  . . 1 . .  . . .  .  . .  . #> UGP2          2 .  1 .  2 1 .  1 2  . 1  .  .  2  .  2  . . . 1 . . 1 . 1 1 . 1  2  . .  1  . . 2 . . .  1 1 . . .  . . 1  .  . .  . #> UGT1A6        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UGT8          . .  1 .  1 . .  . .  . .  .  .  .  1  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UHMK1         . .  . 1  . . .  1 1  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . .  .  . 1 . . . .  . . . . .  . . .  .  . .  . #> UHRF1         1 .  . .  . . .  . .  . .  1  .  .  .  3  . . 1 . . . . . . . . .  .  . .  .  . 1 . . . .  . . . . .  . . .  .  . .  1 #> UHRF1BP1      1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . . .  .  1 .  . #> UHRF1BP1L     . .  . .  . 1 .  1 .  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . 1  .  . . . . . .  1 . . . .  1 . .  .  . .  . #> UHRF2         1 .  1 .  . . .  . .  . .  1  .  .  .  .  . . . . . . . . . . . .  .  . .  .  1 . . . . .  . . 1 . .  . . .  .  1 .  . #> UIMC1         . .  . .  . . .  2 .  . 1  .  .  .  .  .  . . . 1 . . . . . . . 1  1  . .  .  . . . . . .  . . . . 1  . . 1  .  . .  1 #> ULK1          . .  . 1  . 1 .  . .  . .  .  .  1  .  .  . . . . . 1 . . 1 . 1 .  .  . .  .  . . . . . 1  1 . . . .  . . .  .  . .  1 #> ULK2          . .  1 .  . . .  . .  . .  .  .  .  .  .  . 1 . . . . . . . . . .  .  . .  1  . . 1 . . .  . . . . 1  . . .  .  . .  . #> ULK3          . .  . .  . . .  . .  . .  .  .  1  .  .  1 . . . . . . . . . . .  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> ULK4          . .  . .  . . .  . .  . 1  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  1  . .  . #> UMODL1        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UMPS          1 .  1 .  . . .  . 3  . 1  .  .  .  .  2  1 . 2 1 . 2 . . . . . 1  2  . 3  .  1 3 1 1 1 1  . 1 . . .  . . .  .  . 1  . #> UNC119        . .  3 .  . . .  1 1  . .  .  .  .  1  2  . . . . . 1 . . . . 1 1  .  1 1  .  . . . . . .  1 . . 2 .  . . .  .  . 1  . #> UNC119B       . .  . .  . . 1  . 1  . .  1  .  .  .  .  . . . . . . . . 1 2 . .  .  . .  .  . . . . . .  . . . . .  . . .  1  1 .  . #> UNC13A        . .  . .  . . .  . .  1 .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UNC13B        . .  . .  . . .  1 .  . .  .  1  .  .  .  . . . . . 1 . . . . . .  .  . .  .  1 . . . . .  . . . . .  1 . .  .  . .  . #> UNC13C        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UNC13D        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UNC45A        . .  . .  . . .  . .  . 1  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . 1 .  . . . . .  . . .  .  . .  . #> UNC50         1 1  1 2  . 2 .  1 .  2 1  .  .  1  2  .  2 . . . 2 . 1 1 . 1 . .  2  2 1  3  . . 1 3 . .  1 2 . . .  . 2 1  .  . 3  1 #> UNC5A         . .  . .  . . .  . 1  . .  .  1  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UNC5B         . .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UNC5C         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  . #> UNC5D         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UNC79         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UNC80         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 1 . . . .  .  . .  .  1 . . 1 . .  . . . . .  . . .  .  . .  . #> UNC93B1       . .  . .  1 . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . 1 . . .  . . . . .  . . 1  .  . .  1 #> UNG           . .  1 .  . 1 .  1 .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . 1  .  . . . . . .  . . . . .  . . .  .  . .  . #> UNK           . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . 1 . .  . . .  .  . .  . #> UNKL          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> UPB1          . .  . .  . . .  . 1  1 .  .  .  .  .  .  . 1 . 1 . . . . . . . .  .  1 .  .  . . . . . .  1 . . . .  . 1 .  1  . 1  . #> UPF1          . .  1 .  . . .  . .  . .  .  .  .  .  1  . 1 1 . . . . 1 . . . .  1  . .  1  1 . . 2 . .  . . . . .  . . .  .  1 .  1 #> UPF2          . 1  . 1  1 . .  . .  2 .  .  .  .  .  1  . . . 1 . . 2 . . . . 1  .  1 .  .  . . . 1 . 1  . . 1 . .  . . 1  .  . .  . #> UPF3A         . 2  . .  1 . 1  1 .  . .  .  1  .  1  2  1 1 1 . . . . 1 . . . .  .  . .  1  . . . 1 1 .  . . . 1 .  . 1 .  .  . 1  3 #> UPF3B         . .  1 1  1 . .  1 1  . .  .  .  2  .  2  . . . . . . . . . . 2 .  1  . 3  .  2 . . 1 . .  1 1 . . .  1 . 2  1  . .  . #> UPK1A         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UPK1B         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UPK3A         . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UPK3B         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UPK3BL1       1 1  . .  . . .  . .  . .  .  1  .  1  .  . 3 . . . 1 1 . . 1 . .  .  1 .  1  . . . . . .  . . . . 6  . . .  .  . .  . #> UPK3BL2       1 1  . .  . . .  . .  . .  .  1  .  1  .  . 3 . . . 1 1 . . 1 . .  .  1 .  1  . . . . . .  . . . . 6  . . .  .  . .  . #> UPP1          . 2  . .  . . .  . .  . .  .  .  .  .  .  1 . . 1 . . 2 . . 2 . .  2  2 .  .  . . 2 . 4 .  . . . . .  . 1 .  .  . 1  . #> UPP2          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UPRT          . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UQCC1         . .  . .  . . .  . .  . .  .  1  .  .  .  . . 1 . . . . . . . . .  .  . .  .  . . . . . .  . . . 1 1  . . .  .  . .  . #> UQCC2         1 1  2 .  . 1 1  6 2  1 1  .  3  4  1  2  4 2 . 2 2 1 5 3 1 2 1 1  7  6 .  .  1 1 3 2 1 1  5 3 1 . 4  . 2 2  5  . .  6 #> UQCC3         1 .  1 2  . 1 3  . 2  . .  1  1  1  1  1  1 . 2 . 2 . . 3 . . 3 2  3  1 1  1  3 . 1 1 1 .  1 1 1 2 1  1 . 1  1  1 .  . #> UQCR10        9 3  4 1  3 1 4  9 1  3 1  1  3  4  4  6  4 5 1 3 3 7 1 3 2 3 1 2  6  5 4  2  1 2 4 1 3 1  7 2 5 3 1  2 4 5  2  2 5  6 #> UQCR11        1 1  5 5  4 4 1  6 1  . 2  .  1 12  2  3  7 2 3 4 1 5 1 7 1 2 2 3  6  3 3  2  3 2 5 4 . 1  6 4 2 4 1  1 . 1  3  6 2  4 #> UQCRB        12 3 12 2  6 5 3 11 5  2 3  1  6 11  1  7  9 3 4 7 2 5 5 9 2 3 4 3  6  8 4  5  3 3 7 9 2 6 11 9 6 6 4  2 . 3  2  2 4 11 #> UQCRC1        6 1  9 1  3 3 3  6 3  1 1  5  2  2  4  4  6 . 2 . 2 4 2 3 2 . 2 4  5  5 1  .  2 . . 1 3 .  2 2 1 1 3  1 . 2  3  5 2  4 #> UQCRC2        1 2  7 1  2 1 1  5 .  1 1  4  3  1  4  3  2 1 1 2 2 1 1 1 3 2 5 .  2  3 3  4  2 2 1 5 4 2  5 1 2 2 1  1 1 1  1  . 5  4 #> UQCRFS1       7 1  6 1  6 3 2  2 1  3 1  3  2  .  3  3  4 2 2 3 3 4 3 1 5 1 3 6  5  2 3  6  . 1 4 1 2 3  3 4 3 4 1  4 . 4  2  4 2  3 #> UQCRH         5 5  4 6  5 4 4  5 .  2 1  3  3  1  2  2  4 4 4 1 8 4 . 6 4 1 4 1  3  6 1  1  5 4 4 2 1 3  7 3 1 4 4  2 3 .  3  3 3  5 #> UQCRHL        5 5  4 6  5 4 4  5 .  2 1  3  3  1  2  2  4 4 4 1 8 4 . 6 4 1 4 1  3  6 1  1  5 4 4 2 1 3  7 3 1 4 4  2 3 .  3  3 3  5 #> UQCRQ         2 .  2 1  2 . 1  4 2  . 1  .  .  3  1  3  3 . 1 2 4 5 2 6 . . 1 .  2  1 2  1  4 2 . 2 2 5  1 3 3 1 2  1 2 .  3  . 1  2 #> URB1          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> URB2          . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> URGCP         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . 1 . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> URI1          1 .  . .  1 1 .  . 2  . .  .  .  .  3  1  . . . 2 1 . . . 2 . . .  .  . .  .  . . . . . 1  . . 1 . 1  . . .  .  1 .  1 #> URM1          2 .  1 .  . 1 1  2 .  . .  .  .  1  .  1  . 1 1 . . 2 . . . 1 . .  .  1 .  .  2 . . . . .  1 3 . 1 .  . . 1  .  1 .  . #> UROD          . 1  . .  3 . 2  1 1  . .  .  .  1  .  .  . . 1 . . . . 1 1 1 1 .  2  1 1  .  1 . . . . .  . 1 . . .  . . 1  2  1 2  . #> UROS          . .  1 .  . . 1  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  1  . .  .  . . . 1 . .  2 1 . . .  . . 1  .  1 .  1 #> USB1          . .  1 1  2 . .  . .  1 .  .  .  1  .  .  . 2 . . . . . 1 . 1 . .  .  . 1  .  . . 1 . 1 1  . 1 . 1 1  . . .  .  . .  . #> USE1          2 3  1 3  4 . 2  2 .  2 4  3  1  1  1  4  1 1 1 1 . 2 2 7 . 2 . 2  2  2 2  1  2 1 7 1 2 1  2 4 2 4 1  1 3 1  3  1 2  1 #> USF1          . .  1 .  . . .  1 .  1 .  .  .  .  2  1  . 3 . 1 . . . . 1 1 1 1  .  . .  1  . . . . 1 .  . . . . .  . . .  .  . .  1 #> USF2          . 3  3 .  . . .  1 .  2 .  2  .  1  .  1  4 1 1 . 1 1 1 . . . . .  1  1 1  1  4 1 . 2 . 1  3 2 . 1 .  1 2 1  .  . .  2 #> USF3          . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . 1 . .  .  . .  .  . . . . . .  . 1 . . .  . . .  .  . 1  . #> USH1C         . .  . .  . . .  3 .  . .  1  .  .  .  .  1 . . . . . . 1 . . . 2  .  . .  .  . 1 1 2 . .  5 . 2 . .  2 3 1  .  . 1  . #> USH1G         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USH2A         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USHBP1        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USO1          . .  . .  1 . .  1 .  2 .  .  .  .  .  .  . . . . 1 . . . . . 2 .  2  1 1  .  . . . . . .  2 2 1 1 .  . . .  .  . .  1 #> USP1          . 1  1 .  . . .  1 .  1 .  .  .  .  .  3  1 . . . . . 1 . . . . .  .  . .  .  . . . . . 2  . . 1 . .  1 . .  .  . .  . #> USP10         1 .  3 .  . . .  . .  . .  1  .  .  2  1  . . 1 . . . . . . . . .  .  1 3  1  . . . . . .  . . . . .  . . .  .  . .  1 #> USP11         1 .  . .  . . .  . .  . .  1  .  .  .  .  . . 1 . 1 . . . . . . .  .  2 .  .  . . 1 . . .  . . . 1 .  . . .  .  1 .  . #> USP12         . .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USP13         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USP14         . .  3 2  1 . 1  2 .  . 1  .  1  .  1  .  . . 1 . . . . 1 . . . 1  .  2 .  .  . 1 . . . .  1 . . . .  . . 1  2  . .  . #> USP15         . .  . .  . . .  . 1  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . 1  1 #> USP16         . .  . .  . . .  1 .  . .  1  .  .  .  1  . . 1 1 . . 1 . 1 . . .  2  . .  .  . . . . . .  3 . . 1 .  . . .  .  . .  . #> USP18         . .  . 1  . . .  . 1  1 .  .  .  .  .  .  . . . . . . . 1 . . . 1  .  . .  .  1 . . . . .  1 . . . .  . 1 .  1  . .  . #> USP19         3 .  . .  . . 2  2 .  1 .  .  1  .  .  .  . . 2 . . . . . . . . .  .  . .  .  . . . . . .  1 . . 1 .  . . .  .  1 .  . #> USP2          . .  1 .  . . .  . .  1 .  .  .  .  .  .  . . . . . . . . . . . .  .  . 1  .  . . . . . .  . . . . 1  . . .  .  . .  . #> USP20         . .  . 1  . . .  . .  1 .  .  .  .  .  .  . . . . . . 1 1 . . . .  .  . .  1  . . . . . .  . . . . .  . . .  .  . .  . #> USP21         . .  . .  . . .  . .  . .  .  1  .  .  1  1 . . . . . . . . . . .  .  1 1  .  . . . . . .  . . . . .  . . .  1  . .  . #> USP22         . .  1 .  . . .  . 1  . .  .  .  1  .  .  2 . . . . . . 1 2 . . .  2  . .  .  . . . . . 1  . . . . .  2 . .  .  1 .  . #> USP24         . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . 1 . . 1 . . 1 . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USP25         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . 1 .  . . . . .  . . .  .  . .  . #> USP27X        . .  . .  . . .  . 1  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . 2 . . . .  . . . . .  . . .  .  . .  . #> USP28         . .  2 .  . . .  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> USP29         . 1  . .  . 1 .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> USP3          . .  1 .  . . .  . 1  . 1  .  .  .  .  1  . 2 . 1 . 1 . . . . . .  1  1 .  1  . . . . . 1  1 . . . .  . . .  1  1 .  1 #> USP30         . .  . .  . . .  . .  . .  .  .  .  .  .  . 1 . . . . . . . . . .  1  . .  .  1 . . . . .  . 1 . . .  . . .  1  1 .  . #> USP31         . .  1 .  . . .  . .  . .  .  1  .  .  .  . . . . . 2 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USP32         . .  . .  . . .  . .  . 1  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  1 #> USP33         . .  . .  . . .  1 1  . 1  .  1  .  .  .  1 . . . . . . . 1 . . .  .  . .  .  2 . 1 . . .  2 . . . 1  . 1 .  .  . .  . #> USP34         1 .  3 1  . . 2  . 1  . 1  .  2  .  1  .  . . . . 1 . 2 . 1 . 1 2  .  . .  .  3 . . 1 . 2  4 3 . 1 2  1 . 1  .  1 .  . #> USP35         . .  . .  . . .  . .  . .  .  .  .  .  .  1 . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . 1  . . .  .  . .  . #> USP36         . .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  1 . . . .  . . .  2  . .  . #> USP37         . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  1 . 1  .  . 1  . #> USP38         . .  1 .  . . .  . .  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . .  .  1 . . . . .  . . . . .  . . .  .  . .  . #> USP39         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  1 . . . . .  . . . . .  . 1 .  .  . .  . #> USP4          1 .  . .  1 . 1  . .  . .  .  2  .  .  .  . . . 1 . . . 2 . . 1 1  .  1 .  .  . . . . . .  . . . . 1  . . .  1  . .  1 #> USP40         . .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  2 .  . #> USP41         . .  . 1  . . .  . 1  1 .  .  .  .  .  .  . . . . . . . 1 . . . 1  .  . .  .  1 . . . . .  1 . . . .  . 1 .  1  . .  . #> USP42         . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . 1  .  . 1  .  . . . . . .  . . . . .  . . .  .  . .  1 #> USP43         . .  . .  . 1 .  . .  . .  1  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USP44         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USP45         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  1 . . . .  . . .  .  . .  . #> USP46         . .  1 .  . . .  . .  1 .  .  .  .  1  .  . . 1 . . . . . . 1 2 .  1  . .  .  . 1 . . . .  . . . 1 .  . . .  .  . .  . #> USP47         . .  . .  . . .  . 2  . .  .  .  1  1  .  . . . 1 . . . . . . . 1  1  1 1  .  1 . . 1 . .  . . . . .  . . 1  .  . .  . #> USP48         . .  . .  . 1 .  . .  1 .  .  .  .  1  .  . . . 1 . . . 1 . . . .  .  . .  .  . . . . . 1  1 . . . 1  . . .  .  . .  1 #> USP49         1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USP5          1 .  . .  2 1 .  . 1  . .  .  .  1  1  1  1 . . . 1 2 1 . 1 . . .  .  . 1  .  . . . . . .  3 . . . .  . . .  .  2 .  1 #> USP50         . .  1 .  . 1 1  1 .  1 .  .  .  .  .  .  . . . . . . . . . . . .  1  . 1  .  . . . 1 1 .  . . . . .  . . .  .  . .  . #> USP51         . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . 1 . . 1 . . . .  .  . .  .  . . . . . .  . 1 . . .  . . .  .  . .  . #> USP53         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USP54         . .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . .  .  . . . . . 1  . . . 1 .  . . .  .  . .  . #> USP6          . .  . .  . . .  . .  . 1  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  1 #> USP6NL        1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> USP7          1 .  . .  . . 1  . .  . .  .  .  .  .  .  . . 1 1 . . . . . . . .  1  . .  1  . . . 1 . .  . 1 . . .  . . 1  1  . .  . #> USP8          . .  . .  . 1 1  . 1  1 .  .  .  .  2  .  1 . . . . . . 1 . . 1 .  .  . 1  .  . . . . . .  1 . . . 1  1 . .  .  . .  . #> USP9X         . .  1 .  . . .  . .  . .  .  .  1  .  .  . . . . . 2 . . . . . .  .  . .  .  . . . . . .  . . 1 . .  . . .  1  . 1  . #> USPL1         . .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . 1  .  . . . . . .  . . . . .  . . .  .  . 1  1 #> UTP14A        . .  . .  1 . .  . .  . .  .  .  .  1  .  . . 1 . . . . . . . 1 .  .  . .  2  . . . . 1 .  . . . . .  . . .  .  1 .  . #> UTP14C        . .  . .  1 . .  . .  . .  .  .  .  1  .  . . 1 . . . . . . . 1 .  .  . .  2  . . . . 1 .  . . . . .  . . .  .  1 .  . #> UTP15         . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UTP18         1 .  . 1  . . 1  1 .  1 .  .  .  .  .  .  1 1 1 . . . . . . . 1 2  2  1 .  .  . 1 . . . .  . 2 . . .  . . 1  .  . 1  . #> UTP20         1 .  . .  . . .  . 1  . .  .  .  .  .  2  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UTP23         . .  2 .  . 1 .  . .  . .  1  .  .  2  1  1 . . . . . . . . . . .  .  . .  .  . 1 . . . .  . . . . .  . . .  .  . .  . #> UTP3          1 .  . 1  1 . 3  1 .  . .  4  .  1  1  3  1 . . . . 1 1 . 2 1 . .  1  . 2  1  . . . . 1 1  2 . 1 1 2  . 1 2  .  2 .  1 #> UTP6          . .  . 1  . . .  . 1  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  1  . . . . . .  . . . . .  . . .  .  . .  . #> UTRN          . .  1 .  . . .  . .  . .  .  .  1  .  .  1 . . 1 . . . . . . 1 1  .  . .  .  . . . 1 . .  . . . . .  . . .  .  1 .  . #> UTY           . .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> UVRAG         . .  . .  . 1 .  . .  . .  .  .  2  .  .  . . . . . 1 . . . . . .  .  1 1  .  . . . . . .  . . . . .  . . .  .  . .  . #> UVSSA         . .  . .  . . .  . .  . .  .  .  .  1  2  . . . . 1 . . . . . . .  .  . .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> UXS1          1 .  . .  . . .  . .  . .  .  .  .  .  2  . . . . 1 . 1 . 1 . . .  .  . .  .  1 . . . . .  1 . . 2 .  . . .  .  . .  . #> UXT           . .  2 .  . . .  . .  1 2  .  .  .  .  .  1 . . . . . . 1 . 1 1 .  .  . .  .  . . 1 2 1 1  2 . . . .  . . .  .  . .  . #> VAC14         1 .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VAMP1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> VAMP2         . 1  . .  . 1 .  . 2  2 1  1  .  .  .  1  . . . 3 . 1 2 3 1 1 2 .  2  . .  1  2 1 2 . . .  2 . . 1 1  . 1 3  1  . .  1 #> VAMP3         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> VAMP4         . .  1 .  . . .  . .  . .  .  .  .  .  .  2 . . . 1 . . . . . . .  .  . .  .  . . 1 . . .  . . . . .  . . .  .  . .  . #> VAMP5         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VAMP8         4 .  3 1  . 4 2  . 4  1 4  2  4  .  7  4  . . 3 1 2 2 . 1 1 1 2 3  4  1 4  3  1 . 1 3 2 8  1 5 3 . 1  . 1 1  4  4 4  6 #> VANGL1        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . 2  .  1 . . . . 1  . . . . .  . . .  .  . .  . #> VANGL2        . 1  . .  . . .  . .  . .  .  1  .  .  .  . 1 . . . . . . . . . 1  .  . .  .  . . . 1 1 .  . . . . .  . . .  .  . .  . #> VAPA          6 2  4 2  3 1 1  5 3  3 2  .  .  3  3  3  2 2 3 2 . 3 . 4 1 . 2 .  5  1 .  .  2 1 2 3 1 2  4 2 . 1 .  1 1 3  3  3 1  2 #> VAPB          2 2  2 2  . . .  1 1  1 .  .  .  .  2  .  . . 1 . 1 2 3 1 1 3 1 .  1  . .  1  1 1 . 2 1 2  1 . 5 . 1  . 1 .  .  . 1  1 #> VARS1         . .  4 .  . . .  . .  2 .  .  .  .  1  1  . . 1 . . . 1 . . . . .  .  . .  .  1 . . 1 2 2  1 1 . . .  . . .  1  . .  3 #> VARS2         . .  1 .  . . .  . .  . 1  .  .  .  .  .  . . . . . . . . . . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VASH1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VASH2         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VASP          1 2  2 .  1 1 .  3 .  1 6  3  2  2  1  2  . 2 1 2 2 . . 1 8 4 2 3  3  . 2  3  5 1 1 1 2 1  1 2 . 3 2  1 1 2  .  1 1  3 #> VAT1          1 .  . .  1 . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  1 1  .  . 1 . 1 . 1  . . . . .  . . .  .  1 .  1 #> VAT1L         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . 1  .  . .  .  . . 1 . . .  1 . . . .  1 . .  .  . .  . #> VAV1          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VAV2          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VAV3          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VBP1          1 3  2 .  1 1 .  . 3  1 3  1  1  2  1  1  1 . 1 3 2 1 4 2 2 3 . .  3  3 .  2  1 3 1 1 . 1  4 1 3 1 4  3 . 2  1  2 2  2 #> VCAM1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VCAN          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VCL           . .  . .  . 1 .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VCP           3 2  3 3  4 2 2  3 .  1 2  5  3  2  1  4  5 4 . 2 1 8 2 6 6 1 3 2  3  3 1  4  3 3 1 8 4 4  9 3 1 1 3  1 2 1  3  3 1  3 #> VCPIP1        . .  . .  . . .  . .  1 1  .  .  .  .  .  . 1 1 . . 1 . . . . . .  2  1 .  .  . . . . . .  . . 1 . 1  . . 1  .  . .  1 #> VCPKMT        2 .  . 1  . . .  2 .  . .  .  .  .  1  .  . . 1 . . . . . . . . .  .  . .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> VDAC1         4 1  5 2  2 2 .  2 2  4 1  .  1  .  2  5  3 . 1 1 2 . . . 1 1 1 1  1  1 .  .  1 2 . 2 . 3  . . 3 3 1  1 1 4  2  2 1  4 #> VDAC2         3 2  7 3  4 . .  6 1  3 3  2  3  5  2  5  6 1 3 2 4 1 2 . 1 2 1 2  5  4 2  5  4 1 2 4 2 1  7 3 5 6 1  1 1 1  3  4 .  2 #> VDAC3         4 2  8 .  2 2 2  4 1  4 2  2  2  4  3  6  1 3 1 2 1 2 2 5 1 4 3 1  3  4 2  2  3 2 2 3 1 2  2 . 1 2 2  2 . 2  1  1 4  3 #> VDR           . 2  . 1  . . .  . .  1 .  .  .  .  .  .  . . . . . 3 . . . . . .  1  . .  .  2 . . . . .  . . 1 . .  1 1 .  .  . .  . #> VEGFA         1 .  1 .  . 2 .  . .  . .  .  1  .  .  1  . . . . . 1 . 1 . . . .  .  . .  .  . . . . . .  1 1 . 1 .  . . .  .  . .  . #> VEGFB         . .  . .  . 1 .  . .  . .  .  .  1  .  .  1 . . . . . . 1 . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  1 #> VEGFC         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VEPH1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VEZF1         . .  2 1  . 1 .  . .  . .  .  .  1  1  2  . . . . . . . 2 . . . 1  .  . .  1  . 1 . . . .  1 . . 1 .  1 . 1  1  1 .  . #> VEZT          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VGF           . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . 2 . . .  . . .  .  . .  . #> VGLL1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VGLL2         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VGLL4         1 .  . .  . . .  . .  . .  .  .  .  .  .  . . 1 . . . . . . . 2 .  .  . .  .  . . . . . 2  . . . 2 .  1 . 1  .  2 .  . #> VHL           . .  . .  . . 1  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VHLL          . .  . .  . . 1  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VIL1          . .  . .  . . .  1 .  . .  .  1  .  .  .  . . . . . . . . 3 1 . .  .  . .  1  . . . . . .  . . . . .  . . .  .  . .  . #> VILL          1 .  2 .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . 1  .  . . . . . .  . . . . .  . . .  .  . .  . #> VIM           4 . 12 .  5 6 .  1 .  5 .  .  .  . 16 14  . . 2 . . . . . . . 7 1  .  . 4  2  1 2 . . . 6  . . 3 7 .  . . 1  2  2 2  8 #> VIPAS39       . .  . 2  . 1 .  1 .  . .  .  .  .  .  .  . 2 . . 1 . . . . . . .  .  . 1  2  . . 2 . 2 .  1 . . 1 .  . . .  1  1 .  . #> VIPR1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VIPR2         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VKORC1        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VKORC1L1      . .  1 .  . . .  . .  . .  .  .  .  1  .  1 . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . 1  . #> VLDLR         . .  . .  . . 1  . .  1 .  .  .  .  .  .  . 1 . . . . . 1 . . . .  .  . 1  .  1 . . . 1 .  . . . . .  . . .  .  2 .  . #> VMA21         . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . . . 1 . . . .  .  . .  .  . . 1 . . .  . . . . .  . . .  .  . .  . #> VMAC          . .  . .  . . .  1 1  . .  1  1  .  .  .  . . . . . 1 . 4 . . . .  1  . .  .  . . 1 2 . 1  . 1 . . .  . . .  .  . .  1 #> VMP1          1 .  1 1  1 . 1  . .  . .  .  1  .  1  4  . . 2 . . 1 . . . . 2 2  .  1 .  2  . . . . . 1  . . . . 4  . . .  .  1 .  2 #> VN1R5         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VNN1          3 .  . .  . 1 .  . .  . .  .  .  .  1  1  . . . . . . . . . . . .  .  . 1  .  . . . . . .  . . . 1 .  . 1 .  .  . .  . #> VOPP1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VPREB1        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  1 #> VPS11         . .  . .  . 2 .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  1 1 . . .  1 . .  .  . .  . #> VPS13A        . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VPS13B        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . 1 . 1 . .  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> VPS13C        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VPS13D        . .  . 1  . . 1  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  1 . . . . .  . . . 1 .  . . .  .  . .  . #> VPS16         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 . . . 1 .  .  1 .  .  . . . 1 . .  . . . . .  . 1 .  .  . .  . #> VPS18         . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . 1 . .  .  . .  .  . . 1 . . .  . . . . .  . . .  .  . .  . #> VPS25         . .  1 .  . . .  . .  . .  .  .  .  .  .  . 1 . . . . . . . . . .  1  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VPS26A        . 1  . .  1 1 .  . .  . .  .  1  .  .  2  . . 1 . 1 . . . 1 . . .  1  . .  .  1 . 1 . . .  . . . . .  . . .  .  . .  2 #> VPS26B        . .  1 .  . . .  . .  . .  1  .  .  1  .  . . . . . 1 3 . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VPS29         2 .  1 2  1 1 1  1 1  1 2  1  1  .  1  1  4 . 1 3 . . . 1 2 . 2 1  .  1 1  .  2 . 1 4 2 1  1 1 . . .  . 1 2  3  1 3  . #> VPS33A        . .  . .  1 . .  3 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VPS33B        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VPS35         . 1  1 1  . . 1  6 7  1 3  1  .  .  .  .  . 1 . 1 . 1 . 1 2 1 . 2  4  . 1  .  1 1 . . . .  3 2 1 . .  . 2 1  .  . .  2 #> VPS36         2 .  4 1  . . 1  . .  1 .  1  1  1  1  1  1 . . . . 2 . . . . 3 .  .  2 1  .  1 1 . 1 . .  2 . . 3 .  . 3 1  .  . .  2 #> VPS37A        . 3  . 1  . . .  1 .  . .  .  1  .  1  .  . 1 . 2 . . 4 . 1 . . 1  1  1 .  1  1 1 . . . .  1 1 2 . 3  . 1 .  2  2 1  . #> VPS37B        3 .  1 .  . 1 .  . .  . .  3  1  1  .  .  . 2 1 . . . 1 1 . 1 . .  .  . 1  .  . . . . 1 .  1 . . . .  . . 1  .  . 1  1 #> VPS37C        . .  . .  . . .  . .  . .  .  .  .  .  1  . 1 . . . . . . . . 1 .  .  . .  .  . . . 2 . .  . . . . .  . . .  .  . .  . #> VPS37D        . .  . .  . . .  . .  . .  .  1  .  .  .  . 1 . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VPS39         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . 1 .  . . .  .  . .  . #> VPS41         . .  . .  . 1 1  . 1  . 1  .  .  .  1  .  1 . . . . . . . . . . .  1  1 1  1  1 1 1 1 . 1  . 1 . . .  . . .  1  2 .  1 #> VPS45         . .  1 .  1 . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  1  . . . 1 . .  . 1 . . .  . . .  .  . 1  . #> VPS4A         2 .  . .  . . .  . .  . .  .  .  .  .  .  1 . . . . . . . 1 . . .  .  1 .  .  . . . 1 . 1  . . . 2 .  . . 1  .  . .  . #> VPS4B         . .  1 .  . . .  . 1  . 1  .  .  .  .  .  . . . . . . . . 1 . . .  1  . .  .  . . 1 . . .  . . . . .  . . .  .  . .  . #> VPS50         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  1  . .  . #> VPS51         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> VPS52         . .  1 .  . 1 .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . 1  .  . .  .  . 1 . 1 . .  . . . . .  . . .  1  . .  . #> VPS53         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . 1 . . 1 . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VPS54         . .  . .  1 . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . .  1  1 . . . . .  . . . 1 .  . . .  .  . .  . #> VPS72         . 2  1 4  2 2 2  1 2  1 .  1  1  2  1  3  . . 2 2 2 2 . 1 1 . 1 1  .  1 3  2  2 1 2 . 1 .  3 1 . . .  1 1 .  1  . 1  2 #> VPS8          . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . 1 . 2 . . . .  1  . .  .  . . . . . .  1 . . 1 .  . . .  .  . .  . #> VPS9D1        . .  . .  1 . .  . .  . .  .  .  .  .  .  1 . . . . . . . . . . .  .  . .  .  . 1 . . . .  . 1 . . .  . . .  .  . .  1 #> VRK1          . .  2 .  . 1 .  1 .  . .  .  1  .  2  1  . . . . . . . . . 1 . .  .  . .  .  1 . . . . .  . . . 1 .  1 . .  .  . .  1 #> VRK2          . .  1 .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VRK3          . .  2 .  1 2 .  . .  . .  .  .  .  .  .  . . . . . . . . 1 . . .  .  . .  .  . 1 . 1 . .  . . . 1 .  . 1 .  .  . 1  . #> VSIG1         . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSIG10        . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSIG10L       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSIG2         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSIG8         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSIR          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSNL1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSTM2A        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSTM2B        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSTM2L        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSTM4         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VSTM5         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> VTA1          1 2  . 1  1 . 1  2 .  . .  .  .  2  1  2  1 . . . 1 . . . . . . 1  2  . 1  2  2 . 1 . . .  2 . 1 . .  . 1 1  2  1 .  1 #> VTCN1         . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VTI1A         . .  1 .  . . .  . .  . .  1  .  .  .  .  . . . . . . . . . . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VTI1B         1 1  1 .  2 . 2  2 1  . .  3  1  .  1  2  . . . 1 1 . . . . 1 . .  2  . .  .  . . 1 3 2 .  4 . 1 1 .  . . .  .  . 1  1 #> VTN           . .  . .  . . .  . .  . 1  .  .  .  .  .  . . . . 1 . . . . . . .  .  . .  .  . . . 1 . .  . 1 . . .  . . .  .  . .  . #> VWA1          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . 3 . . . .  . . . . .  . . .  .  . .  . #> VWA2          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VWA3B         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VWA5A         . .  . 1  . 1 .  . .  . .  .  .  .  .  .  . . 1 . . . . . . . . 1  1  . .  .  . . . . . .  . . . . .  . 1 .  .  . .  . #> VWA5B1        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VWA5B2        . 1  . 1  . . 1  1 .  2 2  1  2  .  .  .  . 2 . 1 . 3 . . 3 1 . .  1  1 .  .  1 1 . . 1 .  1 . 1 . 1  4 1 3  .  . .  . #> VWA8          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VWC2          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> VWCE          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WAC           . .  . .  . . .  . .  . .  .  .  .  .  .  1 . . . . . . . 1 . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WAPL          2 1  1 1  2 1 1  . .  . .  .  .  1  .  1  1 . 2 1 . . 1 . . . . 3  .  . 2  1  3 1 . . . 2  2 . 2 1 .  1 . .  1  1 .  2 #> WARS1         . .  1 .  . . 1  2 3  1 .  .  .  .  .  1  1 . . 1 . . . . . . . .  .  1 .  1  1 . . 1 . .  . 3 . . .  . 1 .  .  . .  . #> WARS2         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WASF1         . 1  . .  . . .  . .  . .  .  1  1  .  1  . . . . . 1 . . 1 . . .  .  . .  .  . . . . . .  . . . . .  . . 2  .  . .  . #> WASF2         1 .  . .  . 1 2  . .  1 .  .  1  2  1  1  . . . . . 1 . . 2 . . .  .  1 .  .  . 1 . 1 . .  . . . . .  1 . .  .  1 .  . #> WASF3         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WASL          . .  1 .  . . .  . .  . 1  .  1  1  .  1  . 1 . 2 2 . 1 . 1 . . .  1  1 1  2  . 1 1 1 . 1  1 . . 1 .  . 1 .  .  . .  1 #> WBP1          1 .  2 1  . 1 1  2 .  . .  .  .  .  1  2  . 1 1 . . 1 . 2 . 1 3 .  1  . .  1  1 . . 2 1 2  . 1 . 2 3  . . .  1  5 .  1 #> WBP1L         . .  1 1  . 1 .  . 1  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  1 .  .  1 . . . . 1  . . . . .  . . .  1  . .  1 #> WBP2          1 .  3 4  1 . 1  . .  . .  .  .  1  .  .  2 1 1 . . . 1 . 2 1 1 2  .  1 1  2  . . . 2 2 .  1 1 . . .  3 1 .  .  1 .  1 #> WBP4          4 .  1 .  . . 1  1 .  . .  .  .  .  2  .  . . . . 1 1 4 1 . . 1 3  1  1 .  1  . . . . 3 .  1 . . 3 .  1 1 .  1  . .  . #> WDFY1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 . . . . .  .  . 1  .  1 . . . . .  . . . 1 1  . . .  .  . .  . #> WDFY3         . 1  . .  . 1 .  . .  . .  .  .  .  1  .  . . . . 1 . . . 1 . 1 .  1  . 1  .  . . . . . .  . 1 . . .  . . .  1  . .  . #> WDHD1         . .  1 .  . . .  . 1  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDPCP         . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> WDR1          . .  1 .  . 1 1  . 1  1 2  1  .  2  1  .  1 . . . 1 . . . 4 . 1 .  .  . .  .  2 2 . 2 . .  . 2 . 1 1  . . 1  1  . 1  1 #> WDR11         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . . .  .  . .  . #> WDR12         . .  . .  . . .  . .  . .  .  .  .  .  1  . . 1 . . . . . . . . .  .  . 1  .  . . . . . .  . . 1 . .  . . .  .  . .  1 #> WDR13         1 .  1 .  . . .  . 1  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> WDR18         . .  2 .  1 1 .  1 .  . 1  .  1  1  .  1  1 1 . 1 1 . . . 2 . . 1  1  . .  .  . . . . . .  1 1 1 . .  . 1 .  .  1 2  2 #> WDR19         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR20         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR24         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR25         . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR26         1 1  1 .  . . .  1 .  . .  .  .  1  .  1  . . . 1 . . . . . . 2 1  1  . .  .  . . 1 . . .  2 1 . . .  1 . .  .  . 1  1 #> WDR3          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . 1 . . . . . . . .  1  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR31         1 .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR33         . .  . .  2 . .  . .  1 .  1  .  .  .  1  . . 1 1 . . 1 1 . . . .  1  . .  .  . . . . . .  1 . 1 . .  . . .  .  . 1  . #> WDR35         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . 1 . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR36         . .  . .  . . .  . .  . 1  .  .  .  1  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR37         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR4          . .  . .  . . .  . .  . .  1  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . 1 . . . .  . . . . .  . . .  .  1 .  . #> WDR41         . .  1 .  . . .  . .  . .  .  .  .  .  .  . 1 1 . . . 2 . . . . .  .  . 1  .  . . . 1 . .  . . . 1 1  1 . .  .  . .  . #> WDR43         1 1  . .  3 . .  . .  . 1  .  .  1  .  .  . . . . 2 2 1 . . . 1 .  .  . .  .  . . . 1 . .  . . . . .  . . 1  .  . .  . #> WDR44         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR45         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR45B        . 1  . .  . . .  1 1  1 1  .  1  .  .  1  . . . 1 . . 1 . 1 1 1 .  1  . .  .  . 1 2 1 . 1  1 . . . 1  . . 1  .  . .  2 #> WDR46         1 .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  2 1 . 1 . .  . . . . .  1 . 1  .  1 .  . #> WDR47         . .  . .  . . .  . .  . .  .  .  .  .  .  . 1 . 1 . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . 1  . #> WDR48         . .  . .  1 . .  1 .  . .  .  .  .  .  .  1 . . 1 . 2 . . 1 . . .  .  2 .  .  1 . 1 . . .  . . 1 . .  . . .  .  . .  . #> WDR49         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR5          . 1  . .  . . .  . 1  . .  .  .  1  2  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  1 . .  .  . 2  . #> WDR53         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  1  . .  .  1 . . . . .  . 1 . . .  . . .  .  . 1  . #> WDR54         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  1 . . . . .  . . . . .  . . .  .  1 .  . #> WDR55         . .  1 .  . 1 1  . .  . 2  .  .  .  .  3  1 . . . . . 1 . . . . .  .  . 2  1  . . . . . .  1 . . . .  . . .  .  . .  1 #> WDR59         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR5B         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR6          . 2  . 1  . 2 .  1 2  1 .  .  .  2  .  1  . 2 . 2 1 2 1 1 1 . 2 2  1  . 1  .  . . . 1 . .  5 1 . . 2  . . 1  1  1 1  . #> WDR61         . 1  1 .  2 . .  . 2  1 .  1  .  1  .  1  1 1 . 3 . . . . 2 1 3 .  1  . .  1  . . . 3 . 1  . . . . .  1 . 1  .  . 1  1 #> WDR62         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> WDR7          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR70         . .  . .  1 . .  . .  . .  .  .  .  .  2  . . . . . . . . . . . .  .  . 1  .  . . . . 1 .  . . 1 . .  . . .  .  . .  . #> WDR72         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR73         . .  1 .  . . .  . .  . .  .  .  .  1  .  . . . . . . . . 1 . . .  .  . 1  .  . . 1 . 2 .  . . . 1 .  . . .  1  . .  1 #> WDR74         . .  1 .  . 1 .  1 .  . .  1  .  .  .  .  . . . . . . . 1 1 1 . 1  .  . .  .  . . 1 . . .  . . . 1 .  . . 1  1  . .  . #> WDR75         1 .  2 .  . 1 .  . .  . .  2  .  .  .  .  . . . . . . . . . . . .  .  1 .  .  . . . 1 . .  . . . . .  . . .  .  . .  . #> WDR76         . .  . .  . . .  . .  . 1  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> WDR77         . 1  . .  . . .  . .  . .  .  .  .  .  1  1 . . . . 1 . . 1 1 . 1  1  . .  .  . . . . . .  1 . . . 1  . . 1  .  . .  . #> WDR81         . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR82         1 .  . .  . . .  . .  . .  1  2  .  .  1  . . . . 1 . . . 1 . 1 .  .  . .  1  . . . . . 1  . . . . .  . . .  .  1 .  . #> WDR83         . 1  . .  1 . .  . .  . .  .  1  .  .  1  . 1 . 1 2 1 . . . 1 . .  2  . .  2  . . 1 1 1 .  2 . . . .  . 1 .  1  . .  . #> WDR83OS       2 1  3 3  1 1 1  1 2  2 1  1  .  1  3  .  1 2 . 1 1 1 2 1 . 1 . .  2  1 1  2  1 2 1 3 1 1  4 2 1 1 2  . . 1  1  3 .  1 #> WDR86         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR89         . .  2 2  . 3 .  . 1  1 1  .  1  1  1  .  . . . . 2 . 1 2 2 2 3 1  1  2 .  1  . . 1 1 . 4  1 3 . 3 2  1 1 1  1  4 .  2 #> WDR90         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR91         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDR92         . .  . .  1 1 .  2 .  . .  .  1  .  .  .  . . . . . . . . . 1 . .  .  1 1  .  . . . . . .  1 . 1 . .  . . .  .  . 1  . #> WDR93         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WDSUB1        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . 1 1  .  . .  .  . . 1 . . .  . . . . .  . 1 1  2  . .  . #> WDTC1         . .  . .  . . 2  . .  . .  .  .  .  1  .  . . 1 1 . . . 1 . . . .  .  1 .  .  . . . . . .  1 . . 1 .  . . .  .  . .  . #> WEE1          . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WEE2          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  1  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WFDC10A       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WFDC13        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WFDC2        10 . 10 .  6 3 .  . .  . 1  .  .  .  5  7  . . 4 1 . . . . . . 8 .  .  1 4  3  . . 2 . 1 3  1 . . 1 4  1 . .  .  3 .  7 #> WFDC3         . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . 1  .  . . . . . .  . . . . .  . . .  .  . .  . #> WFDC9         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WFIKKN1       . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WFIKKN2       1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> WFS1          . .  . .  . . .  1 1  . .  1  1  .  .  .  . . . . . . . . 1 . . .  1  . .  .  . 1 . 1 . .  1 1 . . .  . 1 1  .  . .  . #> WHAMM         . .  . .  . 1 .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . 1  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WHRN          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WIF1          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . 1 . . . .  . . . . .  . . .  .  . .  . #> WIPF1         . .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WIPF2         . .  . .  . . .  . .  . .  .  .  .  .  2  . . 1 . . . . . . 1 . .  .  . .  .  . . . . . .  3 . . . .  . . .  .  . .  . #> WIPF3         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WIPI1         . .  . .  . . .  . .  . .  .  1  .  .  .  . . . . 1 . . 2 . . . .  1  . .  .  . . . 1 . .  2 2 . . .  . . .  .  . .  . #> WIPI2         . 1  . .  . 1 1  . .  1 .  .  .  .  .  .  . . 1 2 . 1 . . 1 . . .  1  . .  .  . . . . 1 1  1 . 1 . .  . . 1  .  . .  . #> WIZ           2 .  . .  1 . .  1 .  . .  .  1  .  .  .  . . 1 . . . . . . . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  1 #> WLS           . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WNK1          . .  . .  . 1 .  . .  . .  .  .  .  .  .  1 . . . 1 . . . . 1 . 1  1  1 .  .  . . . 1 . 1  2 . . 1 .  . . 1  .  . 1  . #> WNK2          . .  . .  1 . .  . .  1 .  .  .  .  .  .  . . . . . . . . . . . .  1  . .  .  . . . 1 1 .  . . . . .  1 . .  .  . .  . #> WNK3          . .  1 .  . . .  . .  . .  .  .  4  .  .  . . . . . . . . . . . 1  .  . .  .  . . 1 . . 1  . . . . .  . . .  .  . .  . #> WNK4          . 1  . .  . . .  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . 1 . .  . . .  .  . .  . #> WNT10B        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WNT11         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WNT3          . 1  . .  . . .  . .  . .  .  .  .  .  .  . 1 . . . . . . . . . .  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> WNT4          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WNT5A         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WNT5B         . .  . .  . . 1  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WNT6          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WNT7B         2 .  3 .  1 . .  . .  . .  .  .  .  .  3  . . . . . . . . . . 1 .  .  . .  .  . . . . . 1  . . . 1 .  . . .  .  . .  1 #> WNT9A         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WNT9B         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> WRAP53        . .  . .  . . .  . 1  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  1  . .  . #> WRAP73        . .  . .  . . .  . .  . .  .  1  .  .  .  . 1 . . . . . . . 2 1 .  .  . 1  .  . . . 1 1 .  . . . 1 .  . . .  .  . .  . #> WRN           . .  . .  . . .  . .  . .  .  .  .  1  .  . 1 . . . . . . 1 . . .  .  1 .  1  . . . . . .  . . . . .  . . .  .  . .  . #> WRNIP1        . .  1 .  1 . 1  . .  . .  .  .  .  .  1  . . . 1 . . 1 . . . . .  1  1 .  .  . 1 . . . 1  . 1 . 1 .  . . .  .  . .  . #> WSB1          . .  2 .  1 . 2  . .  . .  .  .  .  .  .  . 1 1 . 1 . . . 1 . 3 1  .  . 1  .  . . 2 . . 1  . . . . .  . . .  .  2 .  . #> WSB2          . .  1 .  . . .  2 .  1 .  .  .  .  .  1  . . 1 . . 1 1 . . . . 1  1  . .  .  2 . . 1 . .  . 3 . . 1  . 1 .  .  . .  1 #> WSCD1         . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . 1 .  . . . . .  . . .  .  . .  . #> WTAP          . 1  2 .  . . .  1 .  . .  .  1  1  .  .  . . 1 . . . . . . . . 1  .  . .  .  . . 1 . . .  . . . . 2  . . .  .  . .  . #> WTIP          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  1  . . . . . .  . . 1 . .  . . .  .  . .  . #> WWC1          1 .  . .  . . .  . .  . .  .  .  .  1  .  . . 1 . . . . . . . . .  .  . .  .  . . . . . .  . . . 3 .  . . .  .  . .  1 #> WWC2          1 .  . .  . . .  . 1  . .  .  .  .  1  .  . 1 . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  1  . .  . #> WWOX          . .  . .  . 1 .  . .  . .  .  .  .  .  .  . . . . . . . . . 1 . .  .  . .  .  . . 1 1 . .  . . 1 . .  . 1 .  .  . .  . #> WWP1          . .  . 2  . . .  . .  . .  .  .  .  .  .  1 . . . . . . . . . . 1  .  . .  .  . . . . . 1  1 . . . .  . . .  .  . .  . #> WWP2          . .  1 .  . . .  . 1  . .  1  .  .  1  .  . . 1 . . . 1 . . . . .  .  . .  .  . . . . . .  1 . . . 2  . . .  2  . .  . #> WWTR1         1 .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XAB2          . .  . .  . . 1  . 1  . .  1  .  .  1  .  . . . . . . 1 . . . . .  1  1 .  .  . . . . . 2  1 . 1 . .  . . .  .  . .  1 #> XAF1          . .  . .  . 2 .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> XBP1          1 .  2 .  . . .  3 .  1 .  .  2  .  .  .  . . . . 2 1 1 . . . . 2  1  . .  .  . 1 1 6 2 .  2 3 1 2 .  . . 1  .  . 2  1 #> XDH           . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XIAP          . .  . .  . . .  . .  . .  .  .  .  1  .  . . 1 . . . . . . . . .  1  . .  .  . . . 1 . .  . . 1 1 .  . . .  .  . .  1 #> XK            . .  . .  . . .  . .  . 1  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  1 . .  .  . .  . #> XKR5          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XKR6          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XKR7          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XKR8          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XKR9          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XPA           . .  2 .  . . .  2 .  . .  .  1  .  .  .  . 2 . 1 . . . . . . 1 .  .  . .  .  . 1 . . . .  3 . 1 . 1  . . .  .  . .  . #> XPC           . .  . .  . . .  . .  . .  .  .  .  .  .  . 1 . . . . . . . . 1 .  1  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> XPNPEP1       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  1 #> XPNPEP2       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XPNPEP3       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . 1 .  . . . . .  . . .  1  . .  . #> XPO1          . .  . .  . . 1  . 1  1 .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  1  1 . . . 1 .  1 . . . .  . 1 .  1  . .  . #> XPO4          1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XPO5          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XPO6          . .  1 .  . 1 .  . .  . .  .  2  1  .  .  . . . . . . . . . . . .  .  . .  .  1 1 . . . .  1 . 1 1 .  . . .  1  1 .  . #> XPO7          . .  1 .  1 1 .  . .  . .  .  .  .  .  .  . . . 1 . . . . . . 1 .  .  1 1  1  . . . . . .  1 . . 1 .  . . .  .  1 1  . #> XPOT          1 1  . .  . . .  . .  . .  .  .  1  .  .  1 1 . . 1 1 . . . 1 . .  .  . 1  .  . . . . . .  . . . . .  . . 1  .  . .  . #> XPR1          . .  . .  . . .  2 .  . .  .  .  .  .  .  . . . . . . . . . . . 1  1  . 1  .  1 1 . . . .  1 . . . 1  . . .  .  1 .  . #> XRCC1         1 .  2 .  1 . .  1 .  . .  1  2  1  .  2  3 . 1 . . . . . . . 2 .  .  . .  .  . 2 1 . 1 .  . . 1 1 .  2 . 1  .  . .  1 #> XRCC2         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XRCC3         . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XRCC4         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  1  . .  . #> XRCC5         . .  . 1  1 1 .  1 .  . .  .  .  .  1  .  1 . . . . . 1 1 . . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XRCC6         2 .  . .  . . .  . .  1 .  .  .  .  .  .  1 . . . . 1 . . . . 1 1  .  . .  .  . . . . . .  . 1 . 3 .  . . .  1  1 .  . #> XRN1          . 1  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XRN2          . .  2 .  . 3 2  . .  . .  .  .  .  .  1  . . . 3 1 1 1 . . 1 1 .  .  2 1  .  . . . 1 . 2  1 1 . . 3  . . 1  1  1 1  . #> XRRA1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XXYLT1        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XYLB          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  . #> XYLT1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> XYLT2         . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> YAE1          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . 1 . .  .  . .  .  . . 1 . 1 .  . 1 . . .  . . .  .  . .  . #> YAF2          . 3  1 .  1 . .  1 1  1 .  2  .  .  1  .  . . . 2 1 1 3 1 2 2 1 .  2  2 1  .  1 2 2 1 . 1  2 1 1 1 1  . . 1  2  . .  1 #> YAP1          1 .  1 .  . 1 .  . .  . .  .  .  .  .  1  . . 1 . . . . . . . . .  .  . 1  .  . . . . . .  . . . . .  . . .  .  . .  . #> YARS1         . .  1 .  . . .  1 .  . .  .  .  .  .  1  1 . . 1 . . . 2 . 1 . .  .  . .  .  . . . . 1 .  . . . . 1  . . .  1  . .  . #> YARS2         1 .  1 .  1 . .  . .  . .  .  .  .  .  .  1 1 . . . 1 1 . . . . .  .  . 1  .  . . . . 1 .  . . . . .  . . .  .  . .  1 #> YBEY          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> YBX2          . .  . .  . . .  . .  1 .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> YBX3          . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . 1 . .  2  . .  .  . . . . . 1  1 . 1 . .  . . .  .  . .  . #> YDJC          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> YEATS2        . .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . 1 1 .  . . .  .  . .  . #> YEATS4        1 .  2 .  1 . .  1 2  . 1  1  1  .  .  1  1 . . 1 1 2 . . . . . .  1  3 .  1  1 1 . . 1 4  . . . 1 1  . . 1  .  . 2  2 #> YES1          . .  . .  . . .  . .  . 1  .  .  .  .  .  . . 1 . . . . . . . . .  .  . .  1  . . . . . .  . . . . .  . . .  .  . .  . #> YIF1A         1 1  1 .  1 1 2  . 1  . .  1  .  1  .  1  1 . . 1 . 1 . . 2 . 1 .  1  2 .  2  1 . 1 4 . 1  1 . . . .  1 1 .  .  . .  . #> YIF1B         1 .  1 .  . 2 .  2 .  . .  .  .  .  .  3  . . . . 1 1 1 2 1 . . .  1  1 .  .  . 1 . 1 . .  1 2 . . .  . . .  .  . 1  . #> YIPF1         . .  . .  1 . .  1 1  1 .  1  .  1  .  1  1 1 . . . . . 2 . . . .  1  1 .  .  . . . . . .  . 2 . . .  1 . .  1  . .  . #> YIPF2         . .  . .  . 1 1  2 1  . 1  .  .  .  .  1  . . 1 . . 1 . 1 . . . 1  1  4 .  .  . . . . . 1  . . 2 . .  1 1 .  .  . 1  1 #> YIPF3         . .  . .  . 1 5  1 1  1 .  1  1  1  2  1  . 1 1 1 1 . . . 2 1 1 1  2  3 .  .  . 1 . 1 1 .  . . . 2 3  2 2 1  .  . .  . #> YIPF4         1 2  1 1  2 1 4  2 1  1 2  1  2  1  1  2  3 . . 5 1 3 2 2 3 . 3 .  .  3 .  7  3 1 2 2 . .  3 1 1 2 5  1 1 4  3  1 1  1 #> YIPF5         2 2  1 2  . 1 2  3 .  2 .  1  .  1  1  1  1 1 1 . . 1 1 3 . . 1 .  1  . .  1  2 1 1 . . 1  1 . . . .  1 3 .  1  . 1  1 #> YIPF6         . .  1 .  . . .  2 .  . .  .  .  .  .  .  1 . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> YKT6          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . 1 . . 2 . . . . .  .  1 1  1  1 . 1 . . .  . . . 1 .  . . .  .  1 1  1 #> YLPM1         . 1  1 .  . . .  . .  . .  .  1  .  2  1  . . . . . 1 . . . 1 . .  1  . 2  .  . . . . 2 .  . . . . 2  . . .  1  . .  . #> YME1L1        1 .  3 .  . . .  . .  1 .  3  .  .  .  .  1 1 1 . . . . . 1 . 1 .  1  1 .  1  . . . 1 . .  . . . . 1  . 2 .  .  . 1  . #> YOD1          . .  . .  . . .  1 .  . .  .  .  1  .  .  . . 1 . . 1 . . . . 1 .  .  . .  .  . . . . . .  . 1 . . .  . 1 .  .  . .  . #> YPEL1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> YPEL2         . .  . .  . . .  1 .  1 .  .  .  2  .  .  1 . . . . . . . 1 . . .  1  3 .  .  1 . . . . .  . . . . 2  . . .  .  1 .  1 #> YPEL3         . 6  . 2  . 1 3  3 1  5 4  2  5  1  2  .  1 8 . 4 5 2 5 . 8 1 . 3  7  4 .  2  3 3 2 1 5 .  2 1 4 . 6  1 1 4  3  4 2  1 #> YPEL4         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . 1 . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> YPEL5         . .  . .  . . .  1 .  . .  .  .  .  .  .  1 . . 1 1 . . 1 1 1 . 1  .  1 .  .  . 1 . . . .  . . 1 . .  1 . .  .  . .  . #> YRDC          . 1  2 .  2 . .  1 .  1 .  .  .  1  .  1  5 . . . 1 1 . . . . 1 1  1  . .  .  1 2 2 . . 3  . . 2 1 1  2 1 .  1  . .  1 #> YTHDC1        . .  . 1  . . .  . .  . .  .  .  1  .  2  1 . . . . 2 . . . . . .  .  . .  2  1 . 1 . 1 1  . . . . .  2 . .  1  . 1  . #> YTHDC2        . .  . .  . . .  1 .  . .  .  .  .  .  .  1 . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> YTHDF1        . .  . .  1 . 1  . 1  1 .  .  2  .  .  1  1 . . . . 1 . 1 . . 1 .  .  . 1  1  . . . 1 1 .  1 1 . 2 .  . 1 .  .  1 .  . #> YTHDF2        . 2  3 1  1 . .  1 1  . .  .  4  2  1  2  . 1 . 1 . . . . . 1 1 .  .  1 1  1  3 . 1 2 . 1  2 . 1 . .  2 2 1  1  . .  1 #> YTHDF3        . .  . .  1 1 .  . .  . .  1  .  .  .  .  . 1 . . . 1 . . . . . .  .  . .  .  . . . . . .  1 . . 1 .  . . .  .  . .  . #> YWHAB         3 1  4 2  1 1 1  1 5  2 1  1  1  3  .  2  3 1 1 3 1 2 3 2 4 1 . 2  1  3 4  2  1 1 2 1 2 1  1 4 . 3 .  2 . 2  .  3 2  4 #> YWHAE        10 4 11 5  6 7 2 11 5 10 4 11 10  7  9 14 12 6 3 9 4 5 7 7 5 8 5 5 10 14 4 10 12 8 2 9 6 7 18 6 5 6 5 10 1 7 11 12 4 14 #> YWHAG         . .  1 1  . . .  2 1  1 .  .  1  .  .  2  . . . . . . 1 1 1 2 . 2  1  . .  .  1 1 . 2 1 .  2 . . . 1  2 1 .  .  . .  . #> YWHAH         5 3  5 3  2 3 3  4 2  5 4  1  .  2  2  6  2 1 2 1 1 1 1 1 2 1 2 2  1  2 .  1  2 2 1 4 1 1  4 2 1 1 1  1 2 1  2  . 6  1 #> YWHAQ         9 6  6 4 12 4 1 15 6  3 3  3  9  9  3  8  2 6 4 1 1 6 3 7 1 4 4 .  7 10 8  5  2 5 5 5 3 7  4 5 4 7 3  2 3 5  5  2 2  8 #> YWHAZ         3 1  . 1  . . .  1 1  1 .  2  .  1  1  2  2 . . . 1 . 2 1 1 . . 4  2  1 2  3  . 1 1 1 . 1  1 . 1 . .  . . 1  2  . 2  2 #> YY1           . 1  1 .  . . .  . 1  3 1  .  .  .  1  1  . . . 1 . . 2 1 . . 1 2  1  1 .  1  3 2 1 2 . 1  1 1 1 1 1  . 1 .  1  1 .  1 #> YY1AP1        . .  1 .  . . .  4 .  . .  .  2  .  2  2  1 . . 1 . . . . . . . .  .  . .  .  . . . . 1 .  1 . . 1 1  1 . .  .  . .  . #> Z82190.2      1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  1  . .  . #> Z83844.1      . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> Z84488.1      . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZADH2         . .  1 1  . . .  . 1  . .  .  .  2  .  .  . . . . 1 . . . . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  . #> ZAP70         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZAR1          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZAR1L         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBED3         . .  1 .  . 2 .  . 2  . .  1  .  .  .  .  . . 1 . 1 . 1 . 1 . 1 .  .  1 .  .  1 . . . . .  . 2 . . .  1 . 1  .  1 2  . #> ZBED4         . .  1 .  . . .  . .  . .  .  1  .  1  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . 1 .  . . 1  .  1 .  . #> ZBED9         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . 1  . #> ZBP1          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB1         . .  . .  . . 1  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> ZBTB10        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  1 .  .  . . . 3 . .  . . . . .  . . .  1  . .  . #> ZBTB11        1 1  . .  . . .  1 .  . 1  .  2  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . 1 .  . . .  .  . .  1 #> ZBTB12        . .  . .  . 1 .  . .  1 .  .  .  .  1  .  . . . . . . 1 . . . 1 .  .  . 1  .  . . . . . .  . . . 1 .  . . .  1  . .  . #> ZBTB14        . .  . .  . . .  . .  1 .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> ZBTB16        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . 1 . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB17        . .  1 1  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB18        . 1  . .  . . .  . .  1 .  .  .  .  .  .  . . . . . . . . 1 . . .  1  . .  .  . . . . . .  . 1 . . .  . . .  .  1 .  . #> ZBTB2         . .  1 .  . . .  . 1  . .  .  .  .  .  .  . . . 1 . . . . . . . .  1  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB20        1 .  1 1  . 2 .  1 .  3 2  1  .  3  1  4  1 . 2 1 2 3 2 . 2 2 1 5  2 11 2  2  2 . . 6 . 4  3 2 3 1 .  2 3 5  6  1 2  . #> ZBTB21        . .  1 .  . . .  . .  . .  1  .  .  .  2  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB24        . .  . .  . . .  . .  . .  .  .  .  .  1  2 . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . . .  .  . .  1 #> ZBTB25        . .  . .  1 . .  1 .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  1 .  .  . . . . . .  . . 1 . .  . . .  1  . 1  1 #> ZBTB26        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB3         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB32        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB33        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . 1  1 . 1 . .  . . .  .  . .  . #> ZBTB34        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> ZBTB37        . .  . .  . . .  . 1  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . . .  .  . .  . #> ZBTB38        . .  2 .  . 1 .  . 1  . .  .  .  .  .  1  . . . . . . . . . . 1 .  1  . .  .  . . . . . 1  . . . . .  . . .  2  . 1  1 #> ZBTB39        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB4         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> ZBTB40        . .  . .  . . .  . .  1 .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB41        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 1 . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> ZBTB42        . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB43        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  1 . 1  .  1 .  . #> ZBTB44        . .  1 .  . . .  . .  1 .  .  .  1  .  .  . . . . 1 . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB45        . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . 1 . . . . . . .  .  . .  .  1 . . 1 . .  . . . . .  . . .  .  . .  . #> ZBTB46        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB47        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB48        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB49        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . 1 .  . . . . .  . . .  .  . .  . #> ZBTB5         . .  1 .  . . .  . .  . .  .  .  1  .  1  . . . . . 1 . . . . . .  .  . 1  1  . . . . . .  . . 1 . .  . . .  .  . .  . #> ZBTB6         . .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB7A        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . 1 . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB7B        . .  1 .  . . .  . .  . .  .  .  .  .  .  . . 1 . . . . . . . . .  .  . .  .  . . . . . .  1 . . 2 .  . . .  .  . .  . #> ZBTB7C        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  . #> ZBTB8A        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  1 . . . . .  . . . . .  . . .  .  . 1  . #> ZBTB8B        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZBTB8OS       1 .  . .  1 . .  . .  . .  1  .  1  .  .  . 1 . . . . 1 . . . . .  .  2 .  .  1 . . . . .  . . . . 1  1 . .  .  . .  . #> ZC2HC1A       . .  . 1  . 1 .  . .  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . .  .  . 1 . . . .  . . . 1 .  . . .  .  . .  . #> ZC2HC1C       . .  . .  . . .  . .  1 .  .  .  .  .  .  1 . . . . . . . . . . .  .  . .  .  . . . . 1 .  . 1 . . .  . . .  .  . .  . #> ZC3H10        . .  . .  . . .  . .  . .  1  .  1  .  .  . . . . . . 1 . . . . .  .  . .  .  1 . . . . .  . . . . .  . . .  .  . .  . #> ZC3H11A       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZC3H11B       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZC3H12A       . .  . 1  . . 1  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZC3H12B       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZC3H12C       . .  . .  . . .  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZC3H12D       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZC3H13        . .  1 .  2 . 2  . 1  1 .  .  .  1  1  .  . . . 1 2 . 1 . 1 . 2 .  .  . 1  .  . . 1 . . .  . 2 . . .  . . .  .  3 .  . #> ZC3H14        2 1  1 .  . 4 2  1 1  2 .  .  1  .  1  .  1 . 1 1 2 . . . 2 . . 2  1  1 .  .  2 . 2 1 . .  . 2 1 1 1  1 . 2  .  . 3  1 #> ZC3H15        1 1  . .  1 . 1  1 2  1 .  1  2  .  3  2  1 2 . . . . 1 . 1 3 . 1  .  2 .  1  2 . . . . 2  1 2 1 . 1  . . .  1  2 1  1 #> ZC3H18        2 .  . .  . . 1  . 1  . .  .  1  .  .  2  . 1 . . 1 . . 1 . . 2 1  .  . .  .  1 . . . . .  . . 1 . 2  . 1 .  .  . .  1 #> ZC3H3         . .  . .  . 1 1  2 .  . .  .  1  .  .  .  . . . . . . . 5 . 1 . .  .  . .  .  1 . . . . .  . 2 . . .  . . .  .  . .  . #> ZC3H4         2 .  . .  . . .  . .  . .  .  1  .  .  .  . 1 . 1 . . . . . . . .  .  . .  .  . . . . . .  1 . . 1 .  . . .  .  1 .  . #> ZC3H6         . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . 1 1 . 1  . 1 1  .  . .  . #> ZC3H7A        . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . 1 . .  .  1 .  .  1 . . . . .  . . . . .  . . .  .  . .  . #> ZC3H7B        . .  . .  1 . .  . 2  . .  .  .  3  .  1  . . . . . 3 . . 1 . . 1  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> ZC3H8         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 . . . . .  .  . .  .  . 1 . . . .  . . . . .  1 . .  .  1 .  . #> ZC3HAV1       . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  1 #> ZC3HAV1L      . .  1 .  . . .  . .  . .  .  .  .  .  .  1 . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZC3HC1        . .  . .  . . .  . .  . .  .  1  .  .  1  . . . . . . . . . . . 2  .  . .  .  . . 1 . . 1  . 1 . . .  . . .  .  . .  1 #> ZC4H2         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . 1 . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . 1  . #> ZCCHC10       1 1  . 1  . . .  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZCCHC12       . .  . 3  . . .  1 1  3 .  .  .  4  .  .  8 . . . . 1 2 2 . . . 1  1  . .  .  1 2 . 5 . .  2 2 . . .  . 1 .  4  . .  . #> ZCCHC14       . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> ZCCHC17       1 .  2 1  . 1 .  1 1  1 1  .  1  2  2  3  1 . 1 . . . . 1 . 2 . 3  1  1 1  .  1 1 1 1 . 1  2 . . . .  1 2 .  1  . 1  . #> ZCCHC18       . .  . 3  . . .  1 1  3 .  .  .  4  .  .  8 . . . . 1 2 2 . . . 1  1  . .  .  1 2 . 5 . .  2 2 . . .  . 1 .  4  . .  . #> ZCCHC2        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  1 .  .  . 1 . . . .  . . . . 1  . . .  .  . .  . #> ZCCHC24       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZCCHC3        . .  1 3  . 1 .  2 1  . .  1  .  2  1  1  2 . . . . 2 . . . . 1 .  1  . .  1  . . 1 . . .  1 . . . .  . . .  .  . .  . #> ZCCHC4        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZCCHC7        . .  . .  . 1 .  . .  . .  .  1  .  .  .  1 1 . . . . . . . . 2 .  .  . 1  .  . . . . 1 .  . . . . .  . . .  1  . .  1 #> ZCCHC8        1 1  1 .  . . .  . .  . .  .  .  .  1  1  1 . . . . 1 1 1 . . . 1  .  . .  .  . . . . . .  . . 1 . .  . . .  .  2 .  . #> ZCCHC9        . .  1 .  . . 1  2 .  . .  .  .  3  1  1  . . 2 . 1 . 1 . . . 1 .  1  1 .  1  . . . . . .  . 1 1 . .  . . .  .  . .  1 #> ZCRB1         4 .  6 3  1 2 .  3 1  . 1  1  .  2  1  4  3 . 1 1 2 2 1 1 2 3 3 3  5  8 1  .  . 1 1 1 . 2  4 2 1 2 2  . 1 4  2  2 3  1 #> ZCWPW1        . .  . .  . . .  . .  . .  1  .  .  .  .  . . 1 . . . . . . . 2 .  .  . 1  .  . . . . . .  . . . . 1  . . .  .  1 .  . #> ZDBF2         . .  . 1  . . .  1 1  . 1  .  1  3  .  1  2 . . 2 1 . 4 . 2 . . 2  1  1 .  .  . 2 . 2 . .  1 1 3 . .  1 1 2  .  . .  . #> ZDHHC1        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . 1 . .  . . .  1  . .  1 #> ZDHHC12       1 .  . 2  . 2 .  1 .  . .  2  .  .  .  1  . 2 . . 1 1 . . . 1 1 .  2  2 .  1  . . 1 . . 1  . 1 . . .  1 . .  1  . .  . #> ZDHHC13       . .  2 1  . . 1  . .  . 1  .  .  .  .  .  . . . . 1 . . . . . . 1  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZDHHC14       . .  . .  . . .  . .  . .  .  .  .  1  .  . . . 1 . . . 1 . . . .  .  . .  .  . . . . . .  . 1 . . .  . . .  .  . .  . #> ZDHHC15       1 .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZDHHC16       . .  . .  2 2 .  . .  . .  1  .  .  .  2  . . . 1 . . . . . . . .  .  1 2  .  . . . . . 1  . 1 . . .  . . 1  .  1 .  1 #> ZDHHC17       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . 1 . . .  1  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZDHHC18       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . 1 . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZDHHC2        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> ZDHHC20       . 1  . .  1 . .  1 1  2 1  1  .  .  1  .  . . 1 1 1 . 2 . . 1 . 3  .  . .  .  . 1 . . . .  1 . . . 1  . 1 .  .  . .  3 #> ZDHHC21       . .  . .  . 1 .  . .  . .  .  1  .  .  .  . . . . . . . . . . 1 .  1  . .  1  . . . 1 . .  . 1 . . .  . . .  .  . .  . #> ZDHHC23       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZDHHC24       . .  . .  1 . 1  . .  . .  .  .  .  .  .  1 . . . . . . . . . . .  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> ZDHHC3        . .  . .  . . .  . .  . 2  .  .  .  .  .  . 2 . . . . . . . . . .  1  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZDHHC4        . .  . .  . . .  . .  . .  .  1  .  1  1  1 1 . . . 1 . . . . . .  .  . 1  .  . . . 1 1 .  . . . 2 .  . . .  .  . .  . #> ZDHHC5        1 .  . .  . . .  . .  . .  .  .  .  .  .  1 . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZDHHC6        . 2  . .  . . .  . .  . .  1  .  .  1  .  1 . 1 . . 1 . . 2 . 2 .  .  . .  .  1 . 1 2 1 .  2 . 1 . .  . . 1  .  . 1  . #> ZDHHC7        . .  . .  . 1 .  1 .  . .  .  .  .  .  .  . . . . . . . . 1 . . .  .  . .  .  . . . . . .  1 . . . .  . . .  .  1 .  . #> ZDHHC8        . .  . .  . . .  . 1  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> ZDHHC9        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . 2 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZEB1          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZEB2          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZER1          . .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . 1 . . .  . . . . .  . . .  .  . .  . #> ZFAND1        1 .  . .  . . .  . 1  . .  .  .  .  2  .  1 . . 1 1 1 . . . . 1 .  .  . 2  1  . . . . . .  . . . . .  . . .  1  . .  . #> ZFAND2A       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> ZFAND2B       . 1  . .  . . .  1 .  . .  2  .  .  .  .  . . . . . . . 1 . . . .  1  . .  .  1 . . . . .  2 . . . .  . . .  .  1 1  . #> ZFAND3        . 3  . .  2 . .  . .  . 1  1  .  .  1  1  . 1 1 2 1 1 2 . . . . .  .  . .  1  . 2 . . . .  2 . 1 . .  . . .  1  . 1  . #> ZFAND4        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFAND5        . .  4 1  1 . 2  2 1  . .  4  1  2  1  .  1 1 1 . . . 1 2 . 2 1 .  1  . 1  3  . 1 . . 2 4  3 1 1 2 3  2 . .  2  2 .  4 #> ZFAND6        1 1  2 1  3 2 3  . .  1 3  3  2  .  1  1  . 1 3 2 2 2 2 1 2 3 2 1  2  2 3  5  2 2 1 1 1 2  3 . 2 3 3  2 . 1  .  2 4  2 #> ZFAT          1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . 1  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> ZFC3H1        . .  . .  1 . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . 1  . . .  .  . .  . #> ZFHX2         . .  1 2  . . .  1 .  . .  1  .  1  .  .  . . . . . . . 1 . . . .  .  2 .  .  . . . . . .  . 2 . . .  . 1 .  .  . .  1 #> ZFHX3         3 .  1 .  . 1 .  . 1  . .  .  .  .  2  2  . . 2 1 . 1 . 1 . . . .  .  1 1  .  1 . . . . 2  1 . . . .  . 1 .  .  . .  . #> ZFHX4         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFP1          . 1  . 1  . . .  1 .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . 1 . 1  . . . . .  . . .  .  1 .  . #> ZFP14         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFP2          . .  . .  . . .  . .  2 .  .  .  .  .  .  . . . 1 . . . . 1 . . .  .  . 1  .  . . . . . .  . . . . .  . . .  1  . .  . #> ZFP28         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFP3          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFP30         . .  . .  . 1 .  . .  . .  .  .  .  .  .  . . . . . . 1 . 1 . . .  .  . .  .  . 1 . . . .  . . . . .  1 1 .  1  . .  . #> ZFP36         . 1  . 1  1 . 1  . .  . .  1  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . 1 . 1  . . . . 1  . . .  .  . .  . #> ZFP36L1       . .  2 .  . . .  . .  . .  .  .  .  1  1  . . . 1 . . . . 1 . 1 .  .  . 2  .  . 1 . . . 3  . . . 3 1  . . .  .  . .  1 #> ZFP36L2       . .  . .  1 . .  . .  1 .  1  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> ZFP37         . .  . .  1 . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . 1  . . .  .  1 .  . #> ZFP41         1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFP57         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFP62         1 .  1 1  . . .  . 1  . .  .  .  .  .  1  . . . . . . . . . 1 1 .  .  . 1  .  . . . . . .  . . 1 . .  . . .  .  . .  . #> ZFP64         . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFP69         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFP82         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFP90         . 1  . .  . . .  . .  . .  .  .  .  .  .  . . . 2 . 1 . . . . . .  .  . .  .  . 1 . . . .  . . . . .  . . .  .  1 .  . #> ZFP91         . 2  1 3  . 1 .  . 1  1 1  .  1  .  .  1  . 4 1 . . 1 . . 2 . . 1  .  . .  1  1 . . 1 1 .  1 . . 2 1  . 1 .  2  1 1  . #> ZFP91-CNTF    . 2  1 3  . 1 .  . 1  1 1  .  1  .  .  1  . 4 1 . . 1 . . 2 . . 1  .  . .  1  1 . . 1 1 .  1 . . 2 1  . 1 .  2  1 1  . #> ZFP92         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFPL1         . .  . .  . . .  . .  . .  .  .  .  .  .  1 . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFPM1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 . . 2 . .  .  . .  1  . . . . 1 .  . 1 . . .  . . .  .  . .  2 #> ZFPM2         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFR           . .  3 2  . . .  4 1  2 .  .  1  1  .  .  . 1 . 1 . . 5 1 . 1 1 2  1  1 4  .  . 1 . 1 . .  3 1 . 3 .  1 . 1  2  . 1  1 #> ZFR2          . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFX           . .  . .  . . .  . .  . .  .  1  .  .  .  . . . 1 . . . . . . . .  .  2 .  .  . . . . . .  . . 1 . .  . . .  .  1 .  . #> ZFYVE1        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> ZFYVE19       2 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . 1  1  . .  1  . . . . . .  1 . . . 1  1 . .  1  . .  1 #> ZFYVE21       . .  . 1  . . 1  2 1  . .  .  1  2  2  .  . 1 . . . 1 1 2 1 . . 1  1  . 1  .  . 1 . . . .  2 1 1 1 .  . . 1  .  . .  . #> ZFYVE26       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZFYVE27       1 .  1 .  1 . 2  . .  . .  .  .  .  .  .  . . . . . . 1 . . . . .  .  . .  .  . . . . . .  . . . . .  . 1 .  1  1 .  . #> ZFYVE9        1 .  . .  . . .  1 .  . 1  .  .  .  .  .  . . 1 . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> ZG16          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZG16B         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZGLP1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZGPAT         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZHX1          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZHX1-C8orf76  1 1  1 .  . . .  3 .  . .  .  .  .  1  1  1 . . 1 . 1 . 1 . . 1 1  .  . .  .  . 1 . . . .  2 . 1 1 1  . . .  1  . 1  . #> ZHX2          . .  . .  . . .  . .  1 .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  1 .  . #> ZHX3          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZIK1          . .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZKSCAN1       . .  1 .  . . 1  1 .  1 .  .  1  .  1  .  . . . 1 . 1 . 1 . . 1 1  .  . .  1  1 1 . . . .  1 . . . .  . . .  .  3 .  . #> ZKSCAN2       . .  . .  . . .  . .  . .  .  .  .  .  .  1 . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZKSCAN4       . .  . 1  . . .  . .  . 1  .  .  .  .  .  . . . . . 1 . 1 . . . .  .  1 1  .  2 . . . . .  1 . 1 . 2  . . .  1  . .  . #> ZKSCAN5       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> ZKSCAN7       . .  . .  . . .  . .  . .  .  .  .  .  .  . 1 . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZKSCAN8       . .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZMAT1         . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZMAT2         4 2  1 2  2 2 1  . .  1 .  .  .  2  1  2  1 2 1 . . . 1 . 2 1 1 .  2  1 3  2  2 . . 3 1 1  1 . 1 2 .  2 . .  2  1 2  2 #> ZMAT3         . .  . .  . . .  . .  . .  .  1  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZMAT5         . 1  . .  1 . .  1 1  . 2  .  .  1  .  1  1 . . . . . 2 . 1 . 1 .  1  1 .  1  1 . 1 3 1 1  1 . 1 1 .  . . .  .  . .  2 #> ZMIZ1         1 .  1 .  . . .  . .  1 .  .  .  .  .  .  . . . . 1 . . . . . . .  .  . .  .  . 1 . . . .  . . . 2 .  . . 1  .  . 2  . #> ZMIZ2         . 2  . 1  . 1 1  . .  . .  .  .  1  1  1  . 2 . 1 . . . . . 1 . .  .  . .  .  . 1 . 2 1 .  . . . . .  . . .  .  1 .  . #> ZMPSTE24      . .  1 .  . . .  1 2  . .  .  1  .  1  .  . . . . . . 1 . . . . .  .  . 1  .  . 1 . . 1 .  1 . . . .  . 2 .  .  1 .  . #> ZMYM1         . .  . .  . 1 .  1 .  . 1  .  .  .  .  .  1 1 . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZMYM2         . 1  . .  . . .  2 1  . .  .  .  .  .  .  . . . . . . . . . . . 1  1  1 .  .  . . . . . .  1 . . 1 .  . . .  .  . 2  . #> ZMYM3         . .  . .  . . .  . .  . .  .  .  .  1  .  . . 1 . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZMYM4         . .  1 .  . 1 .  1 .  . .  .  1  .  .  2  . . . . 1 . . . . . . .  .  . .  .  . . . 1 . 1  . . . 1 1  . . .  .  . .  . #> ZMYM5         . .  1 .  . . .  . .  . .  .  .  2  1  1  1 . 1 . . . . . . . 1 .  .  1 .  1  . . . . . .  . . 1 . 3  1 . .  .  1 .  . #> ZMYM6         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZMYND10       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZMYND11       . .  1 1  . 2 1  1 .  2 .  1  .  .  .  .  2 . 1 . . . 4 3 . 1 . .  2  1 .  1  . 1 . 1 . 1  2 . . . .  1 . 2  .  . .  . #> ZMYND12       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZMYND19       . .  . 1  1 . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> ZMYND8        1 .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . . . . 1 . .  .  . .  .  . . 1 . . .  . . . 1 1  1 . .  1  1 .  . #> ZNF106        . 1  2 .  . . .  1 1  . .  .  .  .  .  .  1 1 . . . 1 1 1 . . 1 .  .  . .  1  . . . 1 1 .  . 1 . . .  . . .  .  . .  . #> ZNF112        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF12         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF121        . .  . .  . . .  . .  . 1  .  .  .  .  2  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF124        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF131        . .  1 1  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 . . . 1 .  .  . .  .  . . . . . 1  . . . . .  1 . .  .  . .  . #> ZNF142        . .  . .  . . .  1 .  . .  .  1  .  .  .  1 . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF143        2 .  . .  . . .  1 .  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . .  .  2 . . . . .  . . . . .  . . .  .  . .  1 #> ZNF146        . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> ZNF148        . .  . 2  1 . .  1 1  . .  .  .  1  .  1  1 2 . . . . . . 1 1 . .  .  . .  1  . 1 . . . .  . . . . .  2 . .  1  . .  . #> ZNF160        . .  . .  . . .  . 1  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF169        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . 1  . #> ZNF174        . .  . .  . . .  . .  . .  .  1  .  .  .  1 . . . . . . . . . . .  .  . .  .  . 1 . . . .  . 1 . . .  . . .  .  . .  . #> ZNF18         . .  . .  . 1 1  . .  . .  .  1  .  .  .  . . . . . . 1 . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF180        . .  . .  1 . .  . .  . .  .  .  .  1  .  . . . . . . . . 1 . 1 .  .  . .  .  . 1 . . . .  . . . . 1  . . .  .  . .  . #> ZNF182        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . 1  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF185        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF189        . .  . .  . . .  . .  . 2  .  .  .  .  .  . . . . . . . . . . 1 .  1  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF195        . 1  2 .  . 2 .  . 1  . .  .  .  .  .  1  . . . 1 . . . . . . . .  .  . .  .  1 . . . . .  . . . . .  . . .  .  . .  1 #> ZNF2          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  1  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF20         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF200        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . 1  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF202        . .  . .  . . .  . .  . .  .  1  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF205        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF207        . 1  1 .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . 1 .  . . . . .  . 1 .  1  . .  . #> ZNF212        . 1  . .  . . 1  . .  . .  .  .  .  1  .  . 1 . 1 . . 1 . . . . .  1  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> ZNF213        1 .  . .  2 1 .  . .  . .  .  .  .  .  .  1 . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF217        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> ZNF219        2 .  1 .  . 1 .  . 1  . .  .  .  .  .  .  . . . . 1 . . 2 1 1 . .  .  . .  4  . . . . . .  . . 1 . .  . . .  .  1 .  . #> ZNF22         . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . 1 . .  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> ZNF226        . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF23         . 1  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . 1 . 1 . . .  .  . .  .  . . . . . .  . 1 . . .  . . .  1  . .  . #> ZNF233        . .  1 .  . . .  . .  . .  .  .  .  .  .  . . 1 . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . . 1  .  . .  . #> ZNF236        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  . 1 . . .  1 . .  .  . .  . #> ZNF239        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . 1  . #> ZNF24         1 .  1 .  1 . .  . .  1 1  .  .  .  1  .  1 . . 1 . . . . . 1 . .  .  . .  2  . . . . . 1  . . . . .  . . 1  .  1 .  2 #> ZNF248        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> ZNF25         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF251        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF260        . .  . .  . . .  . .  . .  1  .  .  .  1  1 1 . 1 . . . . . . . .  .  . .  .  . . . . . .  1 . . . 1  . . .  .  . .  . #> ZNF263        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  1  . .  .  . . 1 1 . .  . . . . 2  . 1 .  1  . .  2 #> ZNF266        . .  . 1  . . 1  2 2  . .  .  .  .  1  .  . 1 . . . . 1 . . . . .  .  . 1  2  . . . 1 . .  . . . . .  . . .  1  . .  2 #> ZNF274        1 .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . 2 .  . . .  .  1 .  . #> ZNF276        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  . .  . #> ZNF277        1 .  1 .  2 . .  . .  . .  .  .  .  2  .  . . . . . . . . 1 . . .  1  . .  2  . . . . . .  . . . . .  . . .  .  . .  1 #> ZNF280B       . .  . 1  . . .  1 .  . .  .  .  .  .  .  . . . . . . . 1 . 1 . .  .  . .  .  1 . 1 . . .  . . . . .  1 . 1  .  . .  . #> ZNF280C       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . 1 .  . 1 .  .  . .  . #> ZNF280D       . 1  . .  . . .  . .  . .  .  .  .  .  .  . . 1 . . . . 1 . . . .  .  . .  .  . . . . . 1  . 1 . . 1  1 1 .  .  . .  . #> ZNF281        . .  . .  . . .  2 .  . .  .  .  .  2  .  . . . . . 1 . 3 . . . .  .  . .  .  . . . . . 1  . . . . .  1 . 2  .  . .  . #> ZNF282        . .  3 .  2 . .  . .  . .  .  .  .  .  .  . 1 . . 1 . 1 . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF286A       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF287        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF292        . 2  . .  . 1 .  1 .  1 .  1  2  1  1  .  . . 1 1 . 2 . . . . . .  1  1 2  2  . 1 1 . 2 .  . . . 1 .  . . 1  1  1 .  1 #> ZNF296        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF316        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  1 .  .  . 1 . . . .  . . . . .  . . .  .  . .  . #> ZNF317        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  1 . 1  .  . .  . #> ZNF318        . .  . .  . . .  . .  1 .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF319        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  1 . .  .  . .  1 #> ZNF32         3 .  4 1  . . .  1 .  1 .  2  1  .  .  1  2 4 2 . . . . 2 . 1 2 1  1  . 3  .  . 1 . 2 . 1  . . . 3 .  . . .  .  1 .  1 #> ZNF322        . .  1 .  . 1 1  . 1  . .  .  .  .  1  .  . . 1 . . 2 . 1 . . . .  .  . .  .  1 . . . 1 .  1 1 . . .  . . .  .  . .  1 #> ZNF324        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> ZNF324B       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> ZNF326        1 .  . .  . 1 .  . .  . 1  .  .  .  .  .  . 1 1 . . . . . 2 . . .  .  . 1  1  1 . . . 1 .  . . . . .  1 . .  2  . .  1 #> ZNF329        . 1  . .  . . 1  1 .  . 1  .  1  .  .  1  . 3 . . . 1 2 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . 1  .  1 .  . #> ZNF330        . 1  . .  1 . .  2 .  . .  1  1  .  .  .  . . . . . . 1 2 . . . .  .  . .  .  . . . 1 . 1  . . . . 2  1 . .  .  . .  . #> ZNF334        . .  . .  1 . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF335        . .  . .  . . .  . .  . .  1  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF337        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF34         2 .  2 .  . 1 .  1 1  . 1  .  .  3  .  .  . . . . . . . 1 . . . .  .  . .  .  . 1 . . . .  3 . 1 . 1  1 1 .  1  1 .  . #> ZNF341        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF345        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF346        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF35         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  1 . . . .  . . .  .  . .  . #> ZNF354A       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . 1 . . .  . . . . 1  . . .  .  . .  . #> ZNF354B       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF354C       . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . 1 . .  . . .  .  . .  . #> ZNF358        . .  . .  . 1 .  . .  . .  1  .  .  .  .  . . . . 1 1 . . . . . 1  1  . 2  1  . . . . 2 .  4 . . . 1  1 . .  .  1 .  . #> ZNF362        . .  . .  . . .  . .  1 .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . 1  . #> ZNF365        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF367        . .  . .  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF382        . .  . .  . . .  . .  . .  .  .  .  .  .  . . 1 . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF383        . .  2 .  . 1 .  . .  . .  1  .  .  .  .  . . . . . . . . . . . .  1  . .  .  . . 1 . . .  . . . . .  . . .  .  . .  . #> ZNF384        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . 1 . . .  . . . . .  . . .  .  . .  1 #> ZNF385A       . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> ZNF385B       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF385C       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> ZNF394        . .  . .  . . .  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  .  . .  1  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF395        . .  . .  1 . .  . .  . .  1  .  .  2  .  . . . 1 . . . . . . 1 .  .  2 1  .  . 1 . . . 1  . 1 . 1 .  . . 1  .  . .  . #> ZNF397        . .  . 1  . . .  . .  . .  .  .  2  .  2  . . . . . . . . 1 . 1 .  .  . 1  1  . . . 1 . .  . . . . .  . . .  1  . .  . #> ZNF398        . .  . .  . . .  . .  . .  .  .  1  .  .  . . . 1 . . . . . . . .  .  . .  1  . . . . . .  1 . . . .  . . .  .  . .  . #> ZNF408        . .  . .  . . .  . .  . 1  .  1  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF410        . 1  . .  . 2 .  1 1  . .  2  1  .  .  .  1 . . . 2 . . . 1 1 . .  .  . .  .  . . . . . .  1 . . . 1  . . .  .  . .  . #> ZNF414        . .  1 2  . . .  . .  . 1  .  .  .  1  2  1 . 2 . . . . . 1 . . .  .  . .  .  . . 1 . . .  1 . . . .  . . .  .  . .  1 #> ZNF418        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . 1 .  .  . .  . #> ZNF419        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . 1 .  .  . .  . #> ZNF420        . .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  1 . .  .  . .  . #> ZNF423        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF426        . .  . .  . . .  . .  . .  1  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 2 . . .  . . .  .  . .  . #> ZNF428        3 .  . .  . 1 .  . .  1 .  .  .  .  .  3  2 . . . . . . 1 . 1 . .  .  2 .  1  . 1 . 1 . 1  . . . . .  1 1 .  .  1 .  . #> ZNF429        . 1  2 .  . 2 .  . 1  . .  .  .  .  .  1  . . . 1 . . . . . . . .  .  . .  .  1 . . . . .  . . . . .  . . .  .  . .  1 #> ZNF433        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF436        . .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . 1 . . . . .  .  . .  .  . . . . . 1  . . . . .  . . .  .  1 .  . #> ZNF438        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . 1 . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF439        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF440        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF444        2 .  1 2  . . .  . .  . .  .  .  .  .  .  1 . 1 . . . . . . 2 1 .  1  . .  2  1 1 . . . .  1 . . . .  1 1 .  .  . 2  . #> ZNF445        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  1  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF446        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF449        . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . . . 1 . . . .  .  . .  .  . 1 . . 1 .  . . . . .  . . .  .  . .  . #> ZNF45         . .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF451        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . 1 . .  .  . .  .  1 . . . . .  . . . . .  . . .  .  . .  . #> ZNF454        . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF462        . .  . .  1 . .  . 1  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF467        1 .  . .  . . .  . .  . .  .  .  .  .  .  . . 1 . . . . . . . . .  .  . 1  .  . 1 1 . . .  . . 1 . .  . . .  .  . .  . #> ZNF473        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF48         . .  2 .  . . .  . 1  . .  .  .  .  .  .  . . . . . . . 1 1 . . .  .  . .  .  . . 1 . 3 .  1 . . . 1  . . .  .  2 .  . #> ZNF480        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . 1 .  .  . .  . #> ZNF483        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> ZNF487        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF491        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF496        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF503        . .  . .  . . .  . .  . 1  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . 1 .  . . . . .  1 . .  1  . .  . #> ZNF507        1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF511        . .  1 .  . 1 .  . .  1 1  .  1  .  2  .  . . . . . . 1 . 1 . . 1  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF511-PRAP1  . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF512        . .  1 .  . . .  . .  . .  .  .  .  .  .  1 . . 1 . . 1 . . . . .  .  . .  .  . . . 1 1 .  . . . . .  . . .  .  . .  2 #> ZNF512B       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . 1  .  . . . . . .  . 1 . . .  . . .  .  . .  . #> ZNF513        . 1  . .  . . .  . .  . .  1  .  .  .  .  1 . . 2 . . . . 2 . . .  .  2 .  1  . . . . 1 .  1 . . . .  . . .  1  1 .  . #> ZNF516        . .  . .  . . .  . .  . .  .  .  .  .  .  . . 1 . 1 . . 1 . 1 . .  1  . .  .  . . . 2 1 .  1 1 . . .  . . .  .  1 1  . #> ZNF517        . .  2 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  1 #> ZNF518A       . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  1  . . . . . .  . . . . 1  . . .  .  . .  . #> ZNF518B       . .  . .  . . .  . 1  . .  .  .  .  .  .  . . . . . . . . 1 . . .  .  . 1  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF521        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF526        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF532        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  1  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF536        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF541        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF551        . .  . .  . . .  . .  . .  1  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF552        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . 1 .  .  . .  . #> ZNF554        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF555        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF556        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF558        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF560        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF561        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . 1 .  .  . .  . #> ZNF562        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . 1 .  .  . .  . #> ZNF566        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF569        . .  . .  . . .  . .  . .  .  .  .  .  .  . . 1 . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF570        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . 1 . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF574        1 .  1 .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . 2  .  1 .  .  . . . . . .  . . . . .  . . .  .  . .  1 #> ZNF575        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF583        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . 1 . . . .  1 . . . .  . . .  .  . .  . #> ZNF586        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . 1 .  .  . .  . #> ZNF587B       . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . 1 .  .  . .  . #> ZNF592        . .  . .  1 . .  . .  . .  .  .  .  .  .  . 1 . . . . . . . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  . #> ZNF593        1 .  . .  1 . .  . .  . .  .  .  .  1  1  1 . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF597        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF598        . .  . .  . . .  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  .  . 1  .  . . 1 2 . 1  . . . . .  . . 1  .  . .  . #> ZNF605        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF606        . .  . .  . . .  . .  . .  1  .  .  1  .  . . . . . . . . . . . .  .  . .  .  1 . . . . .  . . . . .  . . .  1  . .  . #> ZNF608        . .  . .  . . .  . .  . .  .  .  .  .  .  . 1 . . . . . . . . . .  .  1 .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> ZNF609        . .  . .  . 1 .  . .  . .  .  .  .  .  .  . . . . . . . . . 1 . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF610        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . 1 .  .  . .  . #> ZNF618        1 .  . 1  . . .  . 1  . .  .  .  .  2  .  . . . . 1 . . . . . 1 .  .  1 .  .  . . 1 . . 1  1 . . . .  . . .  .  . .  . #> ZNF622        1 .  . .  1 . 1  2 1  . 2  .  1  1  1  1  1 . . . . . . . 1 . . 1  .  . 2  1  . 2 . . . .  . . 1 . 2  . . 1  .  2 1  . #> ZNF623        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . 1 . . . . .  .  . .  .  . . . . . .  . . . . .  . . 1  .  . .  . #> ZNF627        . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF628        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  1  . .  .  . . . . . .  1 . . . .  . . .  .  . 1  . #> ZNF629        . .  1 .  . . .  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  .  . .  .  . 1 . . . .  1 . . 1 .  . . .  .  1 .  . #> ZNF638        2 .  . .  . . 1  . 2  . .  3  1  1  .  .  1 . . 1 . . . . . . . .  .  . 2  .  1 . . . . .  1 1 . . .  . . .  .  1 .  1 #> ZNF639        . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . 1 . . . .  .  . .  .  . . . 1 . .  1 . . . .  1 . .  .  1 1  . #> ZNF641        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . 1 .  . . .  .  . .  . #> ZNF644        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  . #> ZNF646        1 .  1 .  . . .  . .  . .  1  .  .  .  .  . . . . . . 1 1 2 . . .  .  . 1  .  . . . . . .  . . . . .  1 . .  .  . .  2 #> ZNF652        1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF653        . .  . .  . . .  . .  . .  .  .  .  .  .  . . 1 . . . . . . 1 . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF654        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF655        1 .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  1 . . 1 . .  . . . 1 .  . . 1  .  1 .  . #> ZNF664        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> ZNF665        . .  . .  . . .  . 1  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF667        . .  . .  . . .  2 .  . .  .  .  1  1  1  1 . . 1 . . . . . . . 1  .  1 .  .  . . . 2 . .  . 2 . . .  . . .  1  . .  . #> ZNF668        1 .  . .  . . .  . .  . 1  .  .  .  .  1  . . . . . . . . . 1 . .  .  1 .  1  . . . 1 . .  1 . . . .  . . 1  .  . 1  . #> ZNF669        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF672        . 1  . .  . . .  1 .  . .  .  .  .  .  .  . . 1 . . . 1 . . 1 . .  .  1 .  .  1 . 1 . . 1  . . . . .  . . .  1  . .  . #> ZNF674        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF687        . .  . .  1 . .  1 .  . .  .  1  .  .  .  . 1 . . . . . . . . . .  .  . .  .  1 . . . . 1  . . . . .  . . .  .  . .  . #> ZNF688        2 .  1 .  . . .  . 1  . 1  .  .  .  .  .  . . . . . . 1 1 . . . .  .  . .  .  . . . . . .  . 1 . . .  . . .  .  . .  1 #> ZNF689        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF69         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF691        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  . #> ZNF692        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . 1 .  . . . 1 .  . . .  .  . 2  . #> ZNF697        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF7          . .  . .  . . 1  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . 1 . . 1 .  1 . . . .  . . .  .  . .  . #> ZNF700        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF703        . 2  . .  3 . 1  . .  . .  1  1  .  1  .  . 1 . . . 1 . 1 1 . . .  1  . 1  2  2 1 . . 1 .  . . . . 1  1 . 1  .  . .  1 #> ZNF704        . .  1 .  . . .  . .  . .  .  1  .  .  .  1 . . . . . . . 1 . . .  .  . 1  .  . . . . . .  1 . . 2 .  . . .  .  . .  . #> ZNF705A       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF705B       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF705D       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF705E       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF705G       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF706        5 4  5 1  3 7 .  3 1  . 4  1  2  .  3 18  2 . 3 2 1 2 . 1 3 . 2 1  2  5 2  2  4 2 1 2 3 3  1 . . 4 2  3 1 2  3  1 2  5 #> ZNF711        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF713        . .  . .  . . .  . .  . .  .  .  .  1  .  . . . 1 . . . . . . . .  1  . .  1  1 . . . . .  . . . 1 .  . . .  .  . .  . #> ZNF721        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . 1 . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF727        . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF736        . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF740        . .  . .  . 1 .  . .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  1  . .  . #> ZNF746        . .  . .  . . .  . .  . .  1  .  1  .  .  . . . . . 1 . . . 1 . .  .  . .  .  . . . . 1 .  1 1 . . .  . . .  .  . .  . #> ZNF747        1 .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  . . . 1 .  . . .  .  . .  . #> ZNF749        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF750        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF76         . .  . .  . . .  . .  . .  .  .  .  .  .  . . 2 . . . . . . . 1 .  .  1 .  .  . . . . . .  1 . . . 1  . . .  .  . .  . #> ZNF763        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF764        1 .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . 1 . .  . . . 1 .  . . .  .  . .  . #> ZNF768        . .  1 1  . . 1  . .  . .  .  .  .  1  .  . . . . . . . 1 . . . .  .  . .  .  . . . . . 1  . 1 1 . .  . . .  .  . .  . #> ZNF770        . .  . .  . . .  . .  . .  .  .  .  1  1  1 . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF771        2 .  1 1  . 1 .  . 1  . .  .  .  .  1  .  1 . . . . . . . . . . 3  .  . .  .  . 1 . . 1 1  . 2 1 . 1  . . .  .  1 1  2 #> ZNF777        . .  1 .  . . .  1 .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . . .  .  . .  . #> ZNF778        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF780A       . .  . .  . . .  . .  1 .  .  1  .  .  .  1 . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . 1  . . 1  .  . .  1 #> ZNF781        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . 1 .  .  . .  .  . . . . . .  . . . . 1  . . .  .  . .  . #> ZNF784        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> ZNF786        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF787        . .  . 1  2 1 .  . .  . 1  1  1  .  .  .  1 . . . . . 1 . 1 . . .  .  . .  .  . . . . . 2  1 . . . .  . . 1  .  . 1  . #> ZNF8          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . 1  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF800        . .  . .  . . .  . .  . .  .  .  .  .  1  . . . 1 . . . . 1 . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  1 .  . #> ZNF804A       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF821        1 1  1 .  . . .  . .  . .  .  1  2  .  1  . . 1 . 1 . . . . 1 . .  .  . 1  .  . . . . . .  . . . . 2  1 . 1  1  . .  . #> ZNF827        . .  . .  . . .  . .  . .  .  .  1  .  .  . . . . . . . . . . . .  .  . .  .  1 . 1 . . .  . . . . .  . . .  1  . 1  . #> ZNF830        1 1  1 .  2 1 .  . .  . .  1  .  .  .  1  . 1 . 1 . 1 1 . 1 2 . .  .  . .  1  1 1 . . . .  2 . . . 1  . . .  2  . 1  1 #> ZNF839        . .  . .  . . .  . .  . .  .  1  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . 1 . . .  . . .  .  . .  . #> ZNF845        . .  . .  1 . .  . .  . .  .  .  .  .  .  . . . . 1 . . . . . . .  .  . 1  1  . . 1 . . .  1 . . . .  . . .  .  . .  1 #> ZNF850        . .  . 1  . . .  . .  . .  .  .  .  .  1  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNF879        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . 1 . . . .  . . . . .  . . .  2  . .  . #> ZNF891        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZNFX1         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . 1 . . . . . . .  .  . .  .  . . . . . .  . . 2 . .  . . 1  .  . .  . #> ZNHIT1        1 1  3 1  2 1 .  1 .  2 .  2  1  2  .  1  1 3 . 2 . 1 1 2 . . 2 .  4  . 2  .  1 . 2 5 . 2  . 1 3 1 .  . 3 2  .  3 .  3 #> ZNHIT2        . .  1 1  . 1 .  . .  . 1  .  1  .  .  2  1 . 1 . . 1 . 1 . . 2 1  .  . .  .  . . 1 . . .  . 1 1 . .  . 1 1  .  . 1  . #> ZNHIT3        1 1  2 .  1 . .  1 .  . .  .  .  .  1  1  . 1 . . . . 1 . 2 . . 1  1  . .  1  . . . . . .  2 . . . .  1 . 1  .  1 1  . #> ZNHIT6        . .  . .  . . .  1 .  . .  .  .  .  .  .  . . . . . 2 . . . . . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  . #> ZNRF1         . 1  . .  . 1 1  1 .  . .  1  .  .  .  .  . 1 . . 2 . 1 . . 1 . .  1  . .  3  . . . . . .  1 1 1 . .  . . .  .  . .  . #> ZNRF2         . .  . .  1 . .  . .  . .  .  .  .  3  .  . . . . . 1 . . . . . .  1  1 1  .  . . . . 1 .  . . . . 1  . . 1  .  1 1  . #> ZNRF3         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  1  . .  .  . . . . . .  . . 1 . .  . 1 .  .  . .  . #> ZPBP          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZPBP2         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZPR1          1 .  . 1  . 1 .  . .  . 1  .  .  .  1  .  . . . 1 . . 1 . . 1 1 1  .  . .  1  . . . . . 1  . . 1 . 1  . 1 .  1  . .  . #> ZRANB1        . 1  1 .  . . .  1 .  1 1  2  1  .  1  1  . . . . 1 2 2 1 . 1 . 1  .  . .  .  1 . . . 1 .  . . . . .  1 . 1  1  . .  1 #> ZRANB2        . .  2 1  . . 1  1 1  1 .  .  .  2  .  2  1 . 1 . . 1 1 1 1 . . .  .  2 2  .  1 1 . . . .  1 . . . .  . . 1  1  1 2  1 #> ZRANB3        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . 1  . #> ZRSR2         . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZSCAN10       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZSCAN12       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . 1 . . .  . . 1 . 1  . . .  .  1 .  . #> ZSCAN18       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZSCAN2        . .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . . 1 . . . 1  .  . .  .  . . . . . .  1 . . . .  . 1 .  .  . .  . #> ZSCAN20       . .  . 1  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZSCAN21       . .  1 1  . . .  . .  . .  .  1  .  .  .  . . 1 . 2 . . . 1 . . .  .  . .  .  . . . . . 1  2 1 . 1 .  . 1 .  .  . 1  . #> ZSCAN22       . .  . .  . . .  1 .  . .  .  .  .  .  .  . . 1 . . 1 . 1 . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZSCAN25       . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZSCAN26       . .  2 .  . . .  1 .  . .  .  .  .  .  1  . . 1 . 1 . . . . . . .  1  . .  .  . . . . . .  1 . . . .  . 1 .  2  . 1  . #> ZSCAN29       . .  . .  . . .  . .  . .  .  .  .  .  .  . . 1 . . . . . . . . .  .  . .  .  . . . . . .  . . . . 1  . . .  .  . .  . #> ZSWIM1        . .  1 .  . . .  . .  . .  .  .  .  .  .  . . . . . 1 . . 1 . 1 1  .  . .  .  . . . . . .  1 . . 1 .  . . .  .  . .  . #> ZSWIM3        . .  . .  1 . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZSWIM4        . 1  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  1 . . . . .  . . . . .  . . .  .  . .  . #> ZSWIM5        . .  . .  . . .  . 1  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZSWIM6        1 .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZSWIM7        . .  . .  . . .  . .  . .  .  .  .  .  1  . . . 1 . . . . . . 1 .  1  . 1  .  . 1 . . . .  1 . . 1 .  . . .  .  . .  . #> ZSWIM8        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . 1 . . . . 1 . .  .  . .  .  . . . 1 . .  . . . . .  . . .  .  . .  . #> ZW10          . .  . .  . . .  . .  . .  .  1  .  .  1  . . 1 . 1 . . . . . . .  .  . .  .  . . . . . .  . . 1 . .  . . .  .  . .  . #> ZWILCH        . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . 1  1 . . 1 .  . . .  .  . .  . #> ZWINT         1 .  . 2  1 1 .  2 3  1 1  .  .  3  1  4  3 . . 1 . 2 . 3 1 . 2 3  2  6 .  1  3 2 7 . . .  . 1 2 . 1  1 . 1  1  . 1  1 #> ZXDC          . .  . .  . . .  . .  . .  .  .  .  .  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZYG11B        . .  2 1  . . .  . .  . .  .  1  1  .  .  . . . . . . . . 1 . 1 .  .  . .  .  . . . . . .  . . . . .  . . .  .  . 1  . #> ZYX           . .  . .  . . .  . .  . .  .  .  .  1  .  . . . . . . . . . . . .  .  . .  .  . . . . . .  . . . . .  . . .  .  . .  . #> ZZEF1         . .  . .  . . .  1 1  . .  .  .  .  .  .  . . . . . . . . . . 1 .  1  . .  .  . . . . . .  . . . . .  . 1 .  .  . .  . #> ZZZ3          1 .  1 .  . . .  . .  . .  .  .  .  .  1  . . . 1 . . . 1 . . . .  1  1 .  .  . . . . . 1  . 1 . . .  . . .  .  2 .  . #>                          #> UBR3         .  1 ...... #> UBR4         1  . ...... #> UBR5         1  . ...... #> UBR7         .  . ...... #> UBTD1        .  . ...... #> UBTD2        .  . ...... #> UBTF         .  1 ...... #> UBXN1        4  . ...... #> UBXN10       .  . ...... #> UBXN11       .  . ...... #> UBXN2A       .  . ...... #> UBXN2B       .  . ...... #> UBXN4        1  3 ...... #> UBXN6        .  1 ...... #> UBXN7        .  1 ...... #> UBXN8        .  . ...... #> UCHL1        1  1 ...... #> UCHL3        .  . ...... #> UCHL5        .  . ...... #> UCK1         .  . ...... #> UCK2         1  . ...... #> UCKL1        .  . ...... #> UCN3         .  . ...... #> UCP2         .  . ...... #> UEVLD        .  . ...... #> UFC1         .  5 ...... #> UFL1         .  . ...... #> UFM1         1  3 ...... #> UFSP1        .  . ...... #> UFSP2        .  . ...... #> UGCG         1  . ...... #> UGDH         .  . ...... #> UGGT1        .  2 ...... #> UGGT2        .  . ...... #> UGP2         .  . ...... #> UGT1A6       .  . ...... #> UGT8         .  . ...... #> UHMK1        .  . ...... #> UHRF1        .  . ...... #> UHRF1BP1     .  . ...... #> UHRF1BP1L    .  . ...... #> UHRF2        .  1 ...... #> UIMC1        .  1 ...... #> ULK1         .  . ...... #> ULK2         .  . ...... #> ULK3         .  . ...... #> ULK4         .  . ...... #> UMODL1       .  . ...... #> UMPS         .  . ...... #> UNC119       .  1 ...... #> UNC119B      .  . ...... #> UNC13A       .  . ...... #> UNC13B       .  . ...... #> UNC13C       .  . ...... #> UNC13D       .  . ...... #> UNC45A       .  . ...... #> UNC50        .  1 ...... #> UNC5A        .  . ...... #> UNC5B        .  . ...... #> UNC5C        .  . ...... #> UNC5D        .  . ...... #> UNC79        .  . ...... #> UNC80        .  . ...... #> UNC93B1      .  . ...... #> UNG          .  . ...... #> UNK          .  . ...... #> UNKL         .  . ...... #> UPB1         .  . ...... #> UPF1         .  2 ...... #> UPF2         .  2 ...... #> UPF3A        .  . ...... #> UPF3B        .  1 ...... #> UPK1A        .  . ...... #> UPK1B        .  . ...... #> UPK3A        .  . ...... #> UPK3B        .  . ...... #> UPK3BL1      .  . ...... #> UPK3BL2      .  . ...... #> UPP1         .  . ...... #> UPP2         .  . ...... #> UPRT         .  . ...... #> UQCC1        .  . ...... #> UQCC2        2 12 ...... #> UQCC3        1  2 ...... #> UQCR10       3  2 ...... #> UQCR11       1  7 ...... #> UQCRB        3  7 ...... #> UQCRC1       2  . ...... #> UQCRC2       1  . ...... #> UQCRFS1      .  1 ...... #> UQCRH        5  5 ...... #> UQCRHL       5  5 ...... #> UQCRQ        .  4 ...... #> URB1         .  . ...... #> URB2         .  . ...... #> URGCP        .  . ...... #> URI1         .  . ...... #> URM1         2  . ...... #> UROD         .  . ...... #> UROS         1  . ...... #> USB1         .  . ...... #> USE1         3  . ...... #> USF1         .  . ...... #> USF2         .  . ...... #> USF3         .  . ...... #> USH1C        .  . ...... #> USH1G        .  . ...... #> USH2A        .  . ...... #> USHBP1       .  . ...... #> USO1         .  1 ...... #> USP1         .  . ...... #> USP10        .  . ...... #> USP11        .  . ...... #> USP12        .  . ...... #> USP13        .  . ...... #> USP14        .  . ...... #> USP15        .  . ...... #> USP16        .  . ...... #> USP18        .  . ...... #> USP19        .  . ...... #> USP2         .  . ...... #> USP20        .  . ...... #> USP21        .  . ...... #> USP22        3  1 ...... #> USP24        .  . ...... #> USP25        .  . ...... #> USP27X       .  . ...... #> USP28        .  . ...... #> USP29        .  . ...... #> USP3         .  . ...... #> USP30        .  . ...... #> USP31        .  . ...... #> USP32        .  . ...... #> USP33        1  . ...... #> USP34        .  1 ...... #> USP35        .  1 ...... #> USP36        .  . ...... #> USP37        .  . ...... #> USP38        .  . ...... #> USP39        1  . ...... #> USP4         2  . ...... #> USP40        1  . ...... #> USP41        .  . ...... #> USP42        .  . ...... #> USP43        .  . ...... #> USP44        .  . ...... #> USP45        .  . ...... #> USP46        .  . ...... #> USP47        .  . ...... #> USP48        .  . ...... #> USP49        .  . ...... #> USP5         .  1 ...... #> USP50        .  . ...... #> USP51        .  . ...... #> USP53        1  . ...... #> USP54        .  1 ...... #> USP6         .  . ...... #> USP6NL       .  . ...... #> USP7         .  1 ...... #> USP8         .  . ...... #> USP9X        .  . ...... #> USPL1        1  1 ...... #> UTP14A       .  . ...... #> UTP14C       .  . ...... #> UTP15        .  . ...... #> UTP18        .  1 ...... #> UTP20        .  . ...... #> UTP23        .  . ...... #> UTP3         1  . ...... #> UTP6         .  . ...... #> UTRN         .  . ...... #> UTY          .  . ...... #> UVRAG        .  . ...... #> UVSSA        .  . ...... #> UXS1         .  1 ...... #> UXT          .  . ...... #> VAC14        .  . ...... #> VAMP1        .  . ...... #> VAMP2        .  . ...... #> VAMP3        .  . ...... #> VAMP4        .  . ...... #> VAMP5        .  . ...... #> VAMP8        2  . ...... #> VANGL1       .  . ...... #> VANGL2       .  . ...... #> VAPA         .  3 ...... #> VAPB         2  3 ...... #> VARS1        .  . ...... #> VARS2        .  . ...... #> VASH1        .  . ...... #> VASH2        .  . ...... #> VASP         .  . ...... #> VAT1         1  . ...... #> VAT1L        .  1 ...... #> VAV1         .  . ...... #> VAV2         .  . ...... #> VAV3         .  . ...... #> VBP1         .  . ...... #> VCAM1        .  . ...... #> VCAN         .  . ...... #> VCL          .  . ...... #> VCP          2  3 ...... #> VCPIP1       .  . ...... #> VCPKMT       .  . ...... #> VDAC1        1  1 ...... #> VDAC2        3  2 ...... #> VDAC3        5  . ...... #> VDR          .  . ...... #> VEGFA        .  . ...... #> VEGFB        .  . ...... #> VEGFC        .  . ...... #> VEPH1        .  . ...... #> VEZF1        1  . ...... #> VEZT         .  . ...... #> VGF          .  . ...... #> VGLL1        .  . ...... #> VGLL2        .  . ...... #> VGLL4        .  1 ...... #> VHL          .  . ...... #> VHLL         .  . ...... #> VIL1         .  . ...... #> VILL         .  . ...... #> VIM          .  . ...... #> VIPAS39      1  . ...... #> VIPR1        .  . ...... #> VIPR2        .  . ...... #> VKORC1       .  . ...... #> VKORC1L1     .  . ...... #> VLDLR        .  1 ...... #> VMA21        .  . ...... #> VMAC         1  . ...... #> VMP1         2  . ...... #> VN1R5        .  . ...... #> VNN1         .  . ...... #> VOPP1        .  . ...... #> VPREB1       .  . ...... #> VPS11        .  . ...... #> VPS13A       .  . ...... #> VPS13B       .  . ...... #> VPS13C       .  1 ...... #> VPS13D       .  1 ...... #> VPS16        .  . ...... #> VPS18        .  . ...... #> VPS25        .  . ...... #> VPS26A       .  . ...... #> VPS26B       .  . ...... #> VPS29        2  1 ...... #> VPS33A       .  . ...... #> VPS33B       .  . ...... #> VPS35        .  2 ...... #> VPS36        .  1 ...... #> VPS37A       1  . ...... #> VPS37B       .  1 ...... #> VPS37C       .  . ...... #> VPS37D       .  . ...... #> VPS39        .  . ...... #> VPS41        .  . ...... #> VPS45        .  . ...... #> VPS4A        .  . ...... #> VPS4B        .  1 ...... #> VPS50        .  . ...... #> VPS51        .  . ...... #> VPS52        .  . ...... #> VPS53        .  . ...... #> VPS54        .  . ...... #> VPS72        3  3 ...... #> VPS8         .  . ...... #> VPS9D1       1  . ...... #> VRK1         .  . ...... #> VRK2         .  . ...... #> VRK3         .  . ...... #> VSIG1        .  . ...... #> VSIG10       .  . ...... #> VSIG10L      .  . ...... #> VSIG2        .  . ...... #> VSIG8        .  . ...... #> VSIR         .  . ...... #> VSNL1        .  . ...... #> VSTM2A       .  . ...... #> VSTM2B       .  . ...... #> VSTM2L       .  . ...... #> VSTM4        .  . ...... #> VSTM5        .  . ...... #> VTA1         .  . ...... #> VTCN1        .  . ...... #> VTI1A        .  . ...... #> VTI1B        .  1 ...... #> VTN          .  . ...... #> VWA1         .  . ...... #> VWA2         .  . ...... #> VWA3B        .  . ...... #> VWA5A        .  . ...... #> VWA5B1       .  . ...... #> VWA5B2       1  . ...... #> VWA8         .  . ...... #> VWC2         .  . ...... #> VWCE         .  . ...... #> WAC          .  . ...... #> WAPL         .  . ...... #> WARS1        .  . ...... #> WARS2        .  . ...... #> WASF1        .  . ...... #> WASF2        .  . ...... #> WASF3        .  . ...... #> WASL         .  1 ...... #> WBP1         1  1 ...... #> WBP1L        1  . ...... #> WBP2         1  . ...... #> WBP4         .  . ...... #> WDFY1        .  . ...... #> WDFY3        .  1 ...... #> WDHD1        .  . ...... #> WDPCP        .  . ...... #> WDR1         .  1 ...... #> WDR11        .  . ...... #> WDR12        1  . ...... #> WDR13        .  . ...... #> WDR18        .  . ...... #> WDR19        .  . ...... #> WDR20        .  . ...... #> WDR24        .  . ...... #> WDR25        .  . ...... #> WDR26        .  . ...... #> WDR3         .  . ...... #> WDR31        .  . ...... #> WDR33        .  . ...... #> WDR35        .  . ...... #> WDR36        .  . ...... #> WDR37        .  . ...... #> WDR4         .  . ...... #> WDR41        .  . ...... #> WDR43        .  . ...... #> WDR44        .  . ...... #> WDR45        .  . ...... #> WDR45B       .  . ...... #> WDR46        .  . ...... #> WDR47        .  . ...... #> WDR48        .  . ...... #> WDR49        .  . ...... #> WDR5         .  . ...... #> WDR53        .  . ...... #> WDR54        .  . ...... #> WDR55        .  . ...... #> WDR59        .  . ...... #> WDR5B        .  . ...... #> WDR6         .  1 ...... #> WDR61        2  . ...... #> WDR62        .  . ...... #> WDR7         .  . ...... #> WDR70        .  . ...... #> WDR72        .  . ...... #> WDR73        .  . ...... #> WDR74        1  . ...... #> WDR75        .  . ...... #> WDR76        .  . ...... #> WDR77        .  . ...... #> WDR81        .  . ...... #> WDR82        .  1 ...... #> WDR83        .  . ...... #> WDR83OS      .  1 ...... #> WDR86        .  . ...... #> WDR89        .  4 ...... #> WDR90        .  . ...... #> WDR91        .  . ...... #> WDR92        .  1 ...... #> WDR93        .  . ...... #> WDSUB1       .  . ...... #> WDTC1        .  2 ...... #> WEE1         .  . ...... #> WEE2         .  . ...... #> WFDC10A      .  . ...... #> WFDC13       .  . ...... #> WFDC2        2  . ...... #> WFDC3        .  . ...... #> WFDC9        .  . ...... #> WFIKKN1      .  . ...... #> WFIKKN2      .  . ...... #> WFS1         .  1 ...... #> WHAMM        .  . ...... #> WHRN         .  . ...... #> WIF1         .  . ...... #> WIPF1        .  . ...... #> WIPF2        .  . ...... #> WIPF3        .  . ...... #> WIPI1        .  . ...... #> WIPI2        .  3 ...... #> WIZ          .  . ...... #> WLS          .  . ...... #> WNK1         .  . ...... #> WNK2         .  . ...... #> WNK3         .  . ...... #> WNK4         .  . ...... #> WNT10B       .  . ...... #> WNT11        .  . ...... #> WNT3         .  . ...... #> WNT4         .  . ...... #> WNT5A        .  . ...... #> WNT5B        .  . ...... #> WNT6         .  . ...... #> WNT7B        .  . ...... #> WNT9A        .  . ...... #> WNT9B        .  . ...... #> WRAP53       .  . ...... #> WRAP73       .  . ...... #> WRN          .  . ...... #> WRNIP1       .  . ...... #> WSB1         1  1 ...... #> WSB2         2  . ...... #> WSCD1        .  . ...... #> WTAP         .  . ...... #> WTIP         .  . ...... #> WWC1         .  . ...... #> WWC2         .  . ...... #> WWOX         .  . ...... #> WWP1         .  . ...... #> WWP2         .  . ...... #> WWTR1        .  . ...... #> XAB2         .  . ...... #> XAF1         .  . ...... #> XBP1         .  3 ...... #> XDH          .  . ...... #> XIAP         .  . ...... #> XK           .  . ...... #> XKR5         .  . ...... #> XKR6         .  . ...... #> XKR7         .  . ...... #> XKR8         .  . ...... #> XKR9         .  . ...... #> XPA          .  . ...... #> XPC          .  . ...... #> XPNPEP1      .  . ...... #> XPNPEP2      .  . ...... #> XPNPEP3      .  . ...... #> XPO1         .  1 ...... #> XPO4         .  . ...... #> XPO5         .  . ...... #> XPO6         .  . ...... #> XPO7         .  . ...... #> XPOT         .  . ...... #> XPR1         .  1 ...... #> XRCC1        .  . ...... #> XRCC2        .  . ...... #> XRCC3        .  . ...... #> XRCC4        .  . ...... #> XRCC5        .  1 ...... #> XRCC6        .  . ...... #> XRN1         1  . ...... #> XRN2         2  . ...... #> XRRA1        .  . ...... #> XXYLT1       .  . ...... #> XYLB         .  . ...... #> XYLT1        .  . ...... #> XYLT2        .  . ...... #> YAE1         .  . ...... #> YAF2         1  . ...... #> YAP1         .  . ...... #> YARS1        .  . ...... #> YARS2        .  . ...... #> YBEY         .  . ...... #> YBX2         .  . ...... #> YBX3         .  . ...... #> YDJC         .  . ...... #> YEATS2       .  . ...... #> YEATS4       .  . ...... #> YES1         .  . ...... #> YIF1A        .  . ...... #> YIF1B        .  1 ...... #> YIPF1        .  1 ...... #> YIPF2        1  . ...... #> YIPF3        .  . ...... #> YIPF4        .  . ...... #> YIPF5        .  . ...... #> YIPF6        .  . ...... #> YKT6         1  1 ...... #> YLPM1        .  . ...... #> YME1L1       .  . ...... #> YOD1         .  . ...... #> YPEL1        .  . ...... #> YPEL2        .  . ...... #> YPEL3        3  1 ...... #> YPEL4        .  1 ...... #> YPEL5        .  . ...... #> YRDC         1  1 ...... #> YTHDC1       .  . ...... #> YTHDC2       .  . ...... #> YTHDF1       .  . ...... #> YTHDF2       .  . ...... #> YTHDF3       .  . ...... #> YWHAB        .  4 ...... #> YWHAE        9  9 ...... #> YWHAG        2  . ...... #> YWHAH        4  1 ...... #> YWHAQ        6  5 ...... #> YWHAZ        2  1 ...... #> YY1          2  1 ...... #> YY1AP1       .  . ...... #> Z82190.2     .  . ...... #> Z83844.1     .  . ...... #> Z84488.1     .  . ...... #> ZADH2        .  . ...... #> ZAP70        .  . ...... #> ZAR1         .  . ...... #> ZAR1L        .  . ...... #> ZBED3        .  . ...... #> ZBED4        .  1 ...... #> ZBED9        .  . ...... #> ZBP1         .  . ...... #> ZBTB1        .  . ...... #> ZBTB10       .  . ...... #> ZBTB11       .  . ...... #> ZBTB12       .  . ...... #> ZBTB14       .  . ...... #> ZBTB16       .  . ...... #> ZBTB17       .  . ...... #> ZBTB18       .  . ...... #> ZBTB2        .  . ...... #> ZBTB20       1  1 ...... #> ZBTB21       .  . ...... #> ZBTB24       .  1 ...... #> ZBTB25       1  . ...... #> ZBTB26       .  . ...... #> ZBTB3        .  . ...... #> ZBTB32       .  . ...... #> ZBTB33       1  . ...... #> ZBTB34       .  . ...... #> ZBTB37       .  . ...... #> ZBTB38       1  . ...... #> ZBTB39       .  . ...... #> ZBTB4        .  . ...... #> ZBTB40       .  . ...... #> ZBTB41       .  . ...... #> ZBTB42       .  . ...... #> ZBTB43       .  . ...... #> ZBTB44       .  . ...... #> ZBTB45       .  . ...... #> ZBTB46       .  . ...... #> ZBTB47       .  . ...... #> ZBTB48       .  . ...... #> ZBTB49       .  . ...... #> ZBTB5        .  . ...... #> ZBTB6        .  . ...... #> ZBTB7A       .  . ...... #> ZBTB7B       .  1 ...... #> ZBTB7C       .  1 ...... #> ZBTB8A       .  . ...... #> ZBTB8B       .  . ...... #> ZBTB8OS      .  . ...... #> ZC2HC1A      1  1 ...... #> ZC2HC1C      .  . ...... #> ZC3H10       .  . ...... #> ZC3H11A      .  . ...... #> ZC3H11B      .  . ...... #> ZC3H12A      .  . ...... #> ZC3H12B      .  . ...... #> ZC3H12C      .  . ...... #> ZC3H12D      .  . ...... #> ZC3H13       .  . ...... #> ZC3H14       2  . ...... #> ZC3H15       .  . ...... #> ZC3H18       .  . ...... #> ZC3H3        .  1 ...... #> ZC3H4        .  . ...... #> ZC3H6        .  . ...... #> ZC3H7A       .  . ...... #> ZC3H7B       1  1 ...... #> ZC3H8        .  . ...... #> ZC3HAV1      .  . ...... #> ZC3HAV1L     .  . ...... #> ZC3HC1       .  . ...... #> ZC4H2        .  . ...... #> ZCCHC10      .  . ...... #> ZCCHC12      3  . ...... #> ZCCHC14      .  . ...... #> ZCCHC17      .  . ...... #> ZCCHC18      3  . ...... #> ZCCHC2       .  1 ...... #> ZCCHC24      .  . ...... #> ZCCHC3       .  . ...... #> ZCCHC4       .  . ...... #> ZCCHC7       .  . ...... #> ZCCHC8       1  . ...... #> ZCCHC9       .  1 ...... #> ZCRB1        .  3 ...... #> ZCWPW1       .  . ...... #> ZDBF2        1  . ...... #> ZDHHC1       .  . ...... #> ZDHHC12      .  . ...... #> ZDHHC13      .  1 ...... #> ZDHHC14      .  . ...... #> ZDHHC15      .  . ...... #> ZDHHC16      .  . ...... #> ZDHHC17      .  . ...... #> ZDHHC18      .  . ...... #> ZDHHC2       .  . ...... #> ZDHHC20      .  1 ...... #> ZDHHC21      .  . ...... #> ZDHHC23      .  . ...... #> ZDHHC24      .  . ...... #> ZDHHC3       .  . ...... #> ZDHHC4       .  1 ...... #> ZDHHC5       .  . ...... #> ZDHHC6       .  . ...... #> ZDHHC7       .  . ...... #> ZDHHC8       .  . ...... #> ZDHHC9       .  . ...... #> ZEB1         .  . ...... #> ZEB2         .  . ...... #> ZER1         .  . ...... #> ZFAND1       .  . ...... #> ZFAND2A      .  . ...... #> ZFAND2B      .  . ...... #> ZFAND3       .  . ...... #> ZFAND4       .  . ...... #> ZFAND5       2  . ...... #> ZFAND6       4  . ...... #> ZFAT         .  . ...... #> ZFC3H1       .  . ...... #> ZFHX2        .  2 ...... #> ZFHX3        2  . ...... #> ZFHX4        .  . ...... #> ZFP1         1  . ...... #> ZFP14        .  1 ...... #> ZFP2         .  . ...... #> ZFP28        .  . ...... #> ZFP3         .  . ...... #> ZFP30        .  . ...... #> ZFP36        1  . ...... #> ZFP36L1      .  . ...... #> ZFP36L2      .  . ...... #> ZFP37        .  . ...... #> ZFP41        .  . ...... #> ZFP57        .  . ...... #> ZFP62        .  . ...... #> ZFP64        .  . ...... #> ZFP69        .  . ...... #> ZFP82        .  . ...... #> ZFP90        .  . ...... #> ZFP91        .  . ...... #> ZFP91-CNTF   .  . ...... #> ZFP92        .  . ...... #> ZFPL1        .  . ...... #> ZFPM1        .  . ...... #> ZFPM2        .  . ...... #> ZFR          .  1 ...... #> ZFR2         .  . ...... #> ZFX          .  . ...... #> ZFYVE1       .  . ...... #> ZFYVE19      .  . ...... #> ZFYVE21      .  . ...... #> ZFYVE26      .  . ...... #> ZFYVE27      .  . ...... #> ZFYVE9       .  . ...... #> ZG16         .  . ...... #> ZG16B        .  . ...... #> ZGLP1        .  . ...... #> ZGPAT        .  . ...... #> ZHX1         .  . ...... #> ZHX1-C8orf76 .  . ...... #> ZHX2         .  . ...... #> ZHX3         .  . ...... #> ZIK1         .  . ...... #> ZKSCAN1      .  . ...... #> ZKSCAN2      .  . ...... #> ZKSCAN4      .  . ...... #> ZKSCAN5      .  . ...... #> ZKSCAN7      .  . ...... #> ZKSCAN8      .  . ...... #> ZMAT1        .  . ...... #> ZMAT2        .  . ...... #> ZMAT3        .  . ...... #> ZMAT5        .  . ...... #> ZMIZ1        .  1 ...... #> ZMIZ2        1  1 ...... #> ZMPSTE24     1  . ...... #> ZMYM1        .  . ...... #> ZMYM2        .  . ...... #> ZMYM3        .  . ...... #> ZMYM4        .  . ...... #> ZMYM5        1  . ...... #> ZMYM6        .  . ...... #> ZMYND10      .  . ...... #> ZMYND11      .  . ...... #> ZMYND12      .  . ...... #> ZMYND19      .  . ...... #> ZMYND8       .  . ...... #> ZNF106       .  . ...... #> ZNF112       .  . ...... #> ZNF12        .  . ...... #> ZNF121       .  . ...... #> ZNF124       .  . ...... #> ZNF131       .  . ...... #> ZNF142       .  . ...... #> ZNF143       .  . ...... #> ZNF146       .  . ...... #> ZNF148       .  2 ...... #> ZNF160       .  . ...... #> ZNF169       .  . ...... #> ZNF174       .  . ...... #> ZNF18        .  . ...... #> ZNF180       .  . ...... #> ZNF182       .  . ...... #> ZNF185       .  . ...... #> ZNF189       .  . ...... #> ZNF195       .  . ...... #> ZNF2         .  . ...... #> ZNF20        .  . ...... #> ZNF200       .  . ...... #> ZNF202       .  . ...... #> ZNF205       1  . ...... #> ZNF207       .  . ...... #> ZNF212       .  . ...... #> ZNF213       .  . ...... #> ZNF217       .  . ...... #> ZNF219       .  . ...... #> ZNF22        .  . ...... #> ZNF226       .  . ...... #> ZNF23        .  . ...... #> ZNF233       .  . ...... #> ZNF236       .  . ...... #> ZNF239       .  . ...... #> ZNF24        .  . ...... #> ZNF248       .  . ...... #> ZNF25        .  . ...... #> ZNF251       .  . ...... #> ZNF260       2  1 ...... #> ZNF263       .  . ...... #> ZNF266       1  . ...... #> ZNF274       .  2 ...... #> ZNF276       .  . ...... #> ZNF277       .  . ...... #> ZNF280B      .  . ...... #> ZNF280C      .  . ...... #> ZNF280D      .  . ...... #> ZNF281       .  . ...... #> ZNF282       .  1 ...... #> ZNF286A      .  . ...... #> ZNF287       .  . ...... #> ZNF292       .  . ...... #> ZNF296       .  . ...... #> ZNF316       .  . ...... #> ZNF317       .  . ...... #> ZNF318       1  . ...... #> ZNF319       .  . ...... #> ZNF32        2  . ...... #> ZNF322       .  . ...... #> ZNF324       .  1 ...... #> ZNF324B      .  1 ...... #> ZNF326       .  . ...... #> ZNF329       .  . ...... #> ZNF330       .  . ...... #> ZNF334       .  . ...... #> ZNF335       .  . ...... #> ZNF337       .  . ...... #> ZNF34        .  . ...... #> ZNF341       .  1 ...... #> ZNF345       .  . ...... #> ZNF346       .  . ...... #> ZNF35        .  . ...... #> ZNF354A      .  . ...... #> ZNF354B      .  . ...... #> ZNF354C      .  . ...... #> ZNF358       1  . ...... #> ZNF362       .  . ...... #> ZNF365       .  . ...... #> ZNF367       .  . ...... #> ZNF382       .  . ...... #> ZNF383       .  . ...... #> ZNF384       .  . ...... #> ZNF385A      .  . ...... #> ZNF385B      .  . ...... #> ZNF385C      .  . ...... #> ZNF394       1  . ...... #> ZNF395       .  . ...... #> ZNF397       .  . ...... #> ZNF398       .  . ...... #> ZNF408       .  . ...... #> ZNF410       .  . ...... #> ZNF414       .  . ...... #> ZNF418       .  . ...... #> ZNF419       .  . ...... #> ZNF420       .  1 ...... #> ZNF423       .  . ...... #> ZNF426       .  . ...... #> ZNF428       .  1 ...... #> ZNF429       .  . ...... #> ZNF433       .  . ...... #> ZNF436       .  . ...... #> ZNF438       .  . ...... #> ZNF439       .  . ...... #> ZNF440       .  . ...... #> ZNF444       .  . ...... #> ZNF445       .  . ...... #> ZNF446       .  . ...... #> ZNF449       .  . ...... #> ZNF45        .  . ...... #> ZNF451       .  . ...... #> ZNF454       .  . ...... #> ZNF462       .  . ...... #> ZNF467       .  . ...... #> ZNF473       .  . ...... #> ZNF48        .  . ...... #> ZNF480       .  . ...... #> ZNF483       .  . ...... #> ZNF487       .  . ...... #> ZNF491       .  . ...... #> ZNF496       .  . ...... #> ZNF503       .  2 ...... #> ZNF507       .  . ...... #> ZNF511       .  1 ...... #> ZNF511-PRAP1 .  . ...... #> ZNF512       .  1 ...... #> ZNF512B      .  1 ...... #> ZNF513       .  1 ...... #> ZNF516       .  . ...... #> ZNF517       .  . ...... #> ZNF518A      .  . ...... #> ZNF518B      .  . ...... #> ZNF521       .  . ...... #> ZNF526       .  . ...... #> ZNF532       .  . ...... #> ZNF536       .  . ...... #> ZNF541       .  . ...... #> ZNF551       .  . ...... #> ZNF552       .  . ...... #> ZNF554       .  . ...... #> ZNF555       .  . ...... #> ZNF556       .  . ...... #> ZNF558       .  . ...... #> ZNF560       .  . ...... #> ZNF561       .  . ...... #> ZNF562       .  . ...... #> ZNF566       .  . ...... #> ZNF569       .  . ...... #> ZNF570       .  . ...... #> ZNF574       .  . ...... #> ZNF575       .  . ...... #> ZNF583       .  . ...... #> ZNF586       .  . ...... #> ZNF587B      .  . ...... #> ZNF592       .  1 ...... #> ZNF593       .  . ...... #> ZNF597       .  . ...... #> ZNF598       1  . ...... #> ZNF605       .  . ...... #> ZNF606       .  . ...... #> ZNF608       .  . ...... #> ZNF609       .  1 ...... #> ZNF610       .  . ...... #> ZNF618       .  . ...... #> ZNF622       .  . ...... #> ZNF623       .  . ...... #> ZNF627       .  . ...... #> ZNF628       .  . ...... #> ZNF629       .  . ...... #> ZNF638       .  1 ...... #> ZNF639       .  . ...... #> ZNF641       .  . ...... #> ZNF644       .  . ...... #> ZNF646       .  . ...... #> ZNF652       .  . ...... #> ZNF653       .  . ...... #> ZNF654       .  . ...... #> ZNF655       .  . ...... #> ZNF664       1  . ...... #> ZNF665       .  . ...... #> ZNF667       .  . ...... #> ZNF668       .  . ...... #> ZNF669       .  . ...... #> ZNF672       .  . ...... #> ZNF674       .  . ...... #> ZNF687       .  1 ...... #> ZNF688       .  . ...... #> ZNF689       .  . ...... #> ZNF69        .  . ...... #> ZNF691       .  . ...... #> ZNF692       .  . ...... #> ZNF697       .  . ...... #> ZNF7         .  . ...... #> ZNF700       .  . ...... #> ZNF703       .  . ...... #> ZNF704       .  . ...... #> ZNF705A      .  . ...... #> ZNF705B      .  . ...... #> ZNF705D      .  . ...... #> ZNF705E      .  . ...... #> ZNF705G      .  . ...... #> ZNF706       1  2 ...... #> ZNF711       .  . ...... #> ZNF713       .  . ...... #> ZNF721       .  . ...... #> ZNF727       .  . ...... #> ZNF736       .  . ...... #> ZNF740       .  . ...... #> ZNF746       .  . ...... #> ZNF747       .  . ...... #> ZNF749       .  . ...... #> ZNF750       .  . ...... #> ZNF76        .  1 ...... #> ZNF763       .  . ...... #> ZNF764       .  . ...... #> ZNF768       .  . ...... #> ZNF770       .  . ...... #> ZNF771       .  . ...... #> ZNF777       .  . ...... #> ZNF778       .  . ...... #> ZNF780A      .  . ...... #> ZNF781       .  . ...... #> ZNF784       .  . ...... #> ZNF786       .  . ...... #> ZNF787       .  1 ...... #> ZNF8         .  . ...... #> ZNF800       .  . ...... #> ZNF804A      .  . ...... #> ZNF821       .  . ...... #> ZNF827       .  . ...... #> ZNF830       .  . ...... #> ZNF839       .  . ...... #> ZNF845       .  . ...... #> ZNF850       .  . ...... #> ZNF879       .  . ...... #> ZNF891       .  . ...... #> ZNFX1        .  1 ...... #> ZNHIT1       1  1 ...... #> ZNHIT2       2  1 ...... #> ZNHIT3       .  1 ...... #> ZNHIT6       .  . ...... #> ZNRF1        .  . ...... #> ZNRF2        1  . ...... #> ZNRF3        .  . ...... #> ZPBP         .  1 ...... #> ZPBP2        .  . ...... #> ZPR1         .  . ...... #> ZRANB1       .  . ...... #> ZRANB2       1  2 ...... #> ZRANB3       .  . ...... #> ZRSR2        .  . ...... #> ZSCAN10      .  . ...... #> ZSCAN12      .  . ...... #> ZSCAN18      .  . ...... #> ZSCAN2       .  . ...... #> ZSCAN20      .  . ...... #> ZSCAN21      .  . ...... #> ZSCAN22      .  . ...... #> ZSCAN25      .  . ...... #> ZSCAN26      .  . ...... #> ZSCAN29      .  . ...... #> ZSWIM1       .  . ...... #> ZSWIM3       .  . ...... #> ZSWIM4       .  . ...... #> ZSWIM5       .  1 ...... #> ZSWIM6       .  . ...... #> ZSWIM7       .  . ...... #> ZSWIM8       1  . ...... #> ZW10         .  . ...... #> ZWILCH       .  . ...... #> ZWINT        1  7 ...... #> ZXDC         .  . ...... #> ZYG11B       .  . ...... #> ZYX          .  . ...... #> ZZEF1        .  . ...... #> ZZZ3         1  . ......"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GraphPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"GraphPlot — GraphPlot","title":"GraphPlot — GraphPlot","text":"GraphPlot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GraphPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"GraphPlot — GraphPlot","text":"","code":"GraphPlot(   node,   edge,   transition = NULL,   node_coord = c(\"x\", \"y\"),   node_group = NULL,   node_palette = \"Paired\",   node_palcolor = NULL,   node_size = 4,   node_alpha = 1,   node_highlight = NULL,   node_highlight_color = \"red\",   label = FALSE,   label.size = 3.5,   label.fg = \"white\",   label.bg = \"black\",   label.bg.r = 0.1,   label_insitu = FALSE,   label_repel = FALSE,   label_repulsion = 20,   label_point_size = 1,   label_point_color = \"black\",   label_segment_color = \"black\",   edge_threshold = 0.01,   use_triangular = c(\"upper\", \"lower\", \"both\"),   edge_line = c(\"straight\", \"curved\"),   edge_line_curvature = 0.3,   edge_line_angle = 90,   edge_color = \"grey40\",   edge_size = c(0.2, 1),   edge_alpha = 0.5,   edge_shorten = 0,   edge_offset = 0,   edge_highlight = NULL,   edge_highlight_color = \"red\",   transition_threshold = 0.01,   transition_line = c(\"straight\", \"curved\"),   transition_line_curvature = 0.3,   transition_line_angle = 90,   transition_color = \"black\",   transition_size = c(0.2, 1),   transition_alpha = 1,   transition_arrow_type = \"closed\",   transition_arrow_angle = 20,   transition_arrow_length = unit(0.02, \"npc\"),   transition_shorten = 0.05,   transition_offset = 0,   transition_highlight = NULL,   transition_highlight_color = \"red\",   aspect.ratio = 1,   title = NULL,   subtitle = NULL,   xlab = NULL,   ylab = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   return_layer = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GraphPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"GraphPlot — GraphPlot","text":"node  theme_args","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GroupHeatmap.html","id":null,"dir":"Reference","previous_headings":"","what":"GroupHeatmap — GroupHeatmap","title":"GroupHeatmap — GroupHeatmap","text":"GroupHeatmap","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GroupHeatmap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"GroupHeatmap — GroupHeatmap","text":"","code":"GroupHeatmap(   srt,   features = NULL,   group.by = NULL,   split.by = NULL,   within_groups = FALSE,   grouping.var = NULL,   numerator = NULL,   cells = NULL,   aggregate_fun = base::mean,   exp_cutoff = 0,   border = TRUE,   flip = FALSE,   slot = \"counts\",   assay = NULL,   exp_method = c(\"zscore\", \"raw\", \"fc\", \"log2fc\", \"log1p\"),   legend_title = NULL,   limits = NULL,   lib_normalize = identical(slot, \"counts\"),   libsize = NULL,   feature_split = NULL,   feature_split_by = NULL,   n_split = NULL,   split_order = NULL,   split_method = c(\"kmeans\", \"hclust\", \"mfuzz\"),   decreasing = FALSE,   fuzzification = NULL,   show_fuzzification = FALSE,   cluster_features_by = NULL,   cluster_rows = FALSE,   cluster_columns = FALSE,   cluster_row_slices = FALSE,   cluster_column_slices = FALSE,   show_row_names = FALSE,   show_column_names = FALSE,   row_names_side = ifelse(flip, \"left\", \"right\"),   column_names_side = ifelse(flip, \"bottom\", \"top\"),   row_names_rot = 0,   column_names_rot = 90,   row_title = NULL,   column_title = NULL,   row_title_side = \"left\",   column_title_side = \"top\",   row_title_rot = 0,   column_title_rot = ifelse(flip, 90, 0),   anno_terms = FALSE,   anno_keys = FALSE,   anno_features = FALSE,   terms_width = unit(4, \"in\"),   terms_fontsize = 8,   keys_width = unit(2, \"in\"),   keys_fontsize = c(6, 10),   features_width = unit(2, \"in\"),   features_fontsize = c(6, 10),   IDtype = \"symbol\",   species = \"Homo_sapiens\",   db_update = FALSE,   db_version = \"latest\",   db_combine = FALSE,   convert_species = FALSE,   Ensembl_version = 103,   mirror = NULL,   db = \"GO_BP\",   TERM2GENE = NULL,   TERM2NAME = NULL,   minGSSize = 10,   maxGSSize = 500,   GO_simplify = FALSE,   GO_simplify_cutoff = \"p.adjust < 0.05\",   simplify_method = \"Wang\",   simplify_similarityCutoff = 0.7,   pvalueCutoff = NULL,   padjustCutoff = 0.05,   topTerm = 5,   show_termid = FALSE,   topWord = 20,   min_word_length = 3,   exclude_words = c(\"cell\", \"cellular\", \"dna\", \"rna\", \"protein\", \"development\",     \"involved\", \"organization\", \"system\", \"regulation\", \"positive\", \"negative\",     \"response\", \"process\"),   nlabel = 0,   features_label = NULL,   label_size = 10,   label_color = \"black\",   add_bg = FALSE,   bg_alpha = 0.5,   add_dot = FALSE,   dot_size = unit(8, \"mm\"),   add_reticle = FALSE,   reticle_color = \"grey\",   add_violin = FALSE,   fill.by = \"feature\",   fill_palette = \"Dark2\",   fill_palcolor = NULL,   heatmap_palette = \"RdBu\",   heatmap_palcolor = NULL,   group_palette = \"Paired\",   group_palcolor = NULL,   cell_split_palette = \"simspec\",   cell_split_palcolor = NULL,   feature_split_palette = \"simspec\",   feature_split_palcolor = NULL,   cell_annotation = NULL,   cell_annotation_palette = \"Paired\",   cell_annotation_palcolor = NULL,   cell_annotation_params = if (flip) list(width = grid::unit(1, \"cm\")) else list(height =     grid::unit(1, \"cm\")),   feature_annotation = NULL,   feature_annotation_palette = \"Dark2\",   feature_annotation_palcolor = NULL,   feature_annotation_params = list(),   use_raster = NULL,   raster_device = \"png\",   raster_by_magick = FALSE,   height = NULL,   width = NULL,   units = \"inch\",   seed = 11,   ht_params = list() )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GroupHeatmap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"GroupHeatmap — GroupHeatmap","text":"srt Seurat object. features vector gene names plot. group.Columns used calculate cell expression. One heatmap per column name. assay Assay used calculate expression. exp_method Method used calculate cell expression. feature_split vector group names features. db_combine  heatmap_palette Heatmap expression palette. cell_annotation_palette Column palette. feature_annotation_palette Feature groups palette.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/GroupHeatmap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"GroupHeatmap — GroupHeatmap","text":"","code":"library(dplyr) data(\"pancreas_sub\") ht1 <- GroupHeatmap(pancreas_sub,   features = c(     \"Sox9\", \"Anxa2\", \"Bicc1\", # Ductal     \"Neurog3\", \"Hes6\", # EPs     \"Fev\", \"Neurod1\", # Pre-endocrine     \"Rbp4\", \"Pyy\", # Endocrine     \"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\" # Beta, Alpha, Delta, Epsilon   ),   group.by = c(\"CellType\", \"SubCellType\"),   show_row_names = TRUE ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht1$plot  panel_fix(ht1$plot, height = 4, width = 6, raster = TRUE, dpi = 50)   pancreas_sub <- RunDEtest(pancreas_sub, group_by = \"CellType\") #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. #> [2023-09-08 15:57:50.008711] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 5 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 15:57:54.09739] DEtest done #> Elapsed time:4.09 secs de_filter <- filter(pancreas_sub@tools$DEtest_CellType$AllMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1)  ht2 <- GroupHeatmap(   srt = pancreas_sub, features = de_filter$gene, group.by = \"CellType\",   split.by = \"Phase\", cell_split_palette = \"Dark2\",   nlabel = 10, show_row_names = FALSE ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht2$plot   ht3 <- GroupHeatmap(   srt = pancreas_sub, features = de_filter$gene, feature_split = de_filter$group1, group.by = \"CellType\",   nlabel = 20, show_row_names = FALSE,   species = \"Mus_musculus\", db = \"GO_BP\", anno_terms = TRUE, anno_keys = TRUE, anno_features = TRUE ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> [2023-09-08 15:57:56.291292] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 15:30:55.528871 #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 15:58:45.485693] Enrichment done #> Elapsed time:49.19 secs #> The size of the heatmap will be fixed as some elements are not scalable. ht3$plot   pancreas_sub <- AnnotateFeatures(pancreas_sub, species = \"Mus_musculus\", db = c(\"TF\", \"CSPA\")) #> Species: Mus_musculus #> Loading cached db: TF version:AnimalTFDB4 nterm:2 created:2023-09-08 15:18:36.351696 #> Loading cached db: CSPA version:CSPA nterm:1 created:2023-09-08 15:18:47.073713 de_top <- de_filter %>%   group_by(gene) %>%   top_n(1, avg_log2FC) %>%   group_by(group1) %>%   top_n(3, avg_log2FC) ht4 <- GroupHeatmap(pancreas_sub,   features = de_top$gene, feature_split = de_top$group1, group.by = \"CellType\",   heatmap_palette = \"YlOrRd\",   cell_annotation = c(\"Phase\", \"G2M_score\", \"Neurod2\"), cell_annotation_palette = c(\"Dark2\", \"Paired\", \"Paired\"),   cell_annotation_params = list(height = grid::unit(0.5, \"in\")),   feature_annotation = c(\"TF\", \"CSPA\"),   feature_annotation_palcolor = list(c(\"gold\", \"steelblue\"), c(\"forestgreen\")),   add_dot = TRUE, add_bg = TRUE, show_row_names = TRUE ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht4$plot   ht5 <- GroupHeatmap(pancreas_sub,   features = de_top$gene, feature_split = de_top$group1, group.by = \"CellType\",   heatmap_palette = \"YlOrRd\",   cell_annotation = c(\"Phase\", \"G2M_score\", \"Neurod2\"), cell_annotation_palette = c(\"Dark2\", \"Paired\", \"Paired\"),   cell_annotation_params = list(width = grid::unit(0.5, \"in\")),   feature_annotation = c(\"TF\", \"CSPA\"),   feature_annotation_palcolor = list(c(\"gold\", \"steelblue\"), c(\"forestgreen\")),   add_dot = TRUE, add_bg = TRUE,   flip = TRUE, column_title_rot = 45, show_column_names = TRUE ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht5$plot   ht6 <- GroupHeatmap(pancreas_sub,   features = de_top$gene, feature_split = de_top$group1, group.by = \"CellType\",   add_violin = TRUE, cluster_rows = TRUE,   show_row_names = TRUE ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht6$plot   ht7 <- GroupHeatmap(pancreas_sub,   features = de_top$gene, feature_split = de_top$group1, group.by = \"CellType\",   add_violin = TRUE, fill.by = \"expression\", fill_palette = \"Blues\", cluster_rows = TRUE,   show_row_names = TRUE ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht7$plot   ht8 <- GroupHeatmap(pancreas_sub,   features = de_top$gene, group.by = \"CellType\", split.by = \"Phase\", n_split = 4,   cluster_rows = TRUE, cluster_columns = TRUE, cluster_row_slices = TRUE, cluster_column_slices = TRUE,   add_dot = TRUE, add_reticle = TRUE, heatmap_palette = \"viridis\",   show_row_names = TRUE, ht_params = list(row_gap = grid::unit(0, \"mm\"), row_names_gp = grid::gpar(fontsize = 10)) ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht8$plot"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Harmony_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"Harmony_integrate — Harmony_integrate","title":"Harmony_integrate — Harmony_integrate","text":"Harmony_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Harmony_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Harmony_integrate — Harmony_integrate","text":"","code":"Harmony_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   linear_reduction = \"pca\",   linear_reduction_dims = 50,   linear_reduction_dims_use = NULL,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   Harmony_dims_use = NULL,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   RunHarmony_params = list(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Harmony_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Harmony_integrate — Harmony_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". linear_reduction linear reduction method name. Can one \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Dimensions calculate performing linear reduction. linear_reduction_dims_use dimensions use performing nonlinear reduction. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Integration_SCP.html","id":null,"dir":"Reference","previous_headings":"","what":"Integration_SCP — Integration_SCP","title":"Integration_SCP — Integration_SCP","text":"Single cell pipeline integration multiple datasets.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Integration_SCP.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Integration_SCP — Integration_SCP","text":"","code":"Integration_SCP(   srtMerge = NULL,   batch,   append = TRUE,   srtList = NULL,   assay = NULL,   integration_method = \"Uncorrected\",   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   linear_reduction = \"pca\",   linear_reduction_dims = 50,   linear_reduction_dims_use = NULL,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   seed = 11,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Integration_SCP.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Integration_SCP — Integration_SCP","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. integration_method Integration method. Can one \"Uncorrected\", \"Seurat\", \"scVI\", \"MNN\", \"fastMNN\", \"Harmony\", \"Scanorama\", \"BBKNN\", \"CSS\", \"LIGER\", \"Conos\", \"ComBat\". do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". linear_reduction linear reduction method name. Can one \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Dimensions calculate performing linear reduction. linear_reduction_dims_use dimensions use performing nonlinear reduction. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed. ...","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Integration_SCP.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Integration_SCP — Integration_SCP","text":"Seurat object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Integration_SCP.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Integration_SCP — Integration_SCP","text":"","code":"data(\"panc8_sub\") panc8_sub <- Integration_SCP(   srtMerge = panc8_sub, batch = \"tech\", integration_method = \"Uncorrected\" ) #> [2023-09-08 16:01:04.185652] Start Uncorrected_integrate #> [2023-09-08 16:01:04.204603] Spliting srtMerge into srtList by column tech... ... #> [2023-09-08 16:01:04.840016] Checking srtList... ... #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/5 of the srtList... #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 2/5 of the srtList... #> Data 3/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 3/5 of the srtList... #> Data 4/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 4/5 of the srtList... #> Data 5/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 5/5 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-08 16:01:08.208846] Finished checking. #> [2023-09-08 16:01:08.986898] Perform integration(Uncorrected) on the data... #> [2023-09-08 16:01:08.988762] Start Standard_SCP #> [2023-09-08 16:01:08.988964] Checking srtList... ... #> Data 1/1 of the srtList has been log-normalized. #> Number of available HVF: 2000 #> [2023-09-08 16:01:09.452736] Finished checking. #> [2023-09-08 16:01:09.452994] Perform ScaleData on the data... #> [2023-09-08 16:01:10.201521] Perform linear dimension reduction (pca) on the data... #> [2023-09-08 16:01:11.533039] Perform FindClusters (louvain) on the data... #> [2023-09-08 16:01:11.679429] Reorder clusters... #> [2023-09-08 16:01:11.917042] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Uncorrectedpca, dims:1-10) as input #> Non-linear dimensionality reduction(umap) using Reduction(Uncorrectedpca, dims:1-10) as input #> [2023-09-08 16:01:23.320355] Standard_SCP done #> Elapsed time: 14.33 secs  #> [2023-09-08 16:01:23.672948] Uncorrected_integrate done #> Elapsed time: 19.49 secs  CellDimPlot(panc8_sub, group.by = c(\"tech\", \"celltype\"))   panc8_sub <- Integration_SCP(   srtMerge = panc8_sub, batch = \"tech\", integration_method = \"Seurat\" ) #> [2023-09-08 16:01:24.444944] Start Seurat_integrate #> [2023-09-08 16:01:24.462746] Spliting srtMerge into srtList by column tech... ... #> [2023-09-08 16:01:25.056397] Checking srtList... ... #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/5 of the srtList... #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 2/5 of the srtList... #> Data 3/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 3/5 of the srtList... #> Data 4/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 4/5 of the srtList... #> Data 5/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 5/5 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-08 16:01:28.220235] Finished checking. #> [2023-09-08 16:01:28.758705] Perform FindIntegrationAnchors on the data... #> [2023-09-08 16:01:58.110391] Perform integration(Seurat) on the data... #> [2023-09-08 16:02:09.934691] Perform ScaleData on the data... #> [2023-09-08 16:02:11.414714] Perform linear dimension reduction (pca) on the data... #> [2023-09-08 16:02:12.939185] Perform FindClusters (louvain) on the data... #> [2023-09-08 16:02:13.127007] Reorder clusters... #> [2023-09-08 16:02:13.341781] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Seuratpca, dims:1-12) as input #> Non-linear dimensionality reduction(umap) using Reduction(Seuratpca, dims:1-12) as input #> [2023-09-08 16:02:24.739751] Seurat_integrate done #> Elapsed time: 1 mins  CellDimPlot(panc8_sub, group.by = c(\"tech\", \"celltype\"))   if (FALSE) { integration_methods <- c(\"Uncorrected\", \"Seurat\", \"scVI\", \"MNN\", \"fastMNN\", \"Harmony\", \"Scanorama\", \"BBKNN\", \"CSS\", \"LIGER\", \"Conos\", \"ComBat\") for (method in integration_methods) {   panc8_sub <- Integration_SCP(     srtMerge = panc8_sub, batch = \"tech\",     integration_method = method, linear_reduction_dims_use = 1:50, nonlinear_reduction = \"umap\"   )   print(CellDimPlot(panc8_sub, group.by = c(\"tech\", \"celltype\"), reduction = paste0(method, \"UMAP2D\"), theme_use = \"theme_blank\")) }  nonlinear_reductions <- c(\"umap\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\", \"fr\") panc8_sub <- Integration_SCP(   srtMerge = panc8_sub, batch = \"tech\", integration_method = \"Seurat\",   nonlinear_reduction = nonlinear_reductions ) for (nr in nonlinear_reductions) {   print(CellDimPlot(panc8_sub, group.by = c(\"tech\", \"celltype\"), reduction = paste0(\"Seurat\", nr, \"2D\"), theme_use = \"theme_blank\")) } }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/LIGER_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"LIGER_integrate — LIGER_integrate","title":"LIGER_integrate — LIGER_integrate","text":"LIGER_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/LIGER_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"LIGER_integrate — LIGER_integrate","text":"","code":"LIGER_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   LIGER_dims_use = NULL,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   optimizeALS_params = list(),   quantilenorm_params = list(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/LIGER_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"LIGER_integrate — LIGER_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/LineagePlot.html","id":null,"dir":"Reference","previous_headings":"","what":"LineagePlot — LineagePlot","title":"LineagePlot — LineagePlot","text":"LineagePlot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/LineagePlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"LineagePlot — LineagePlot","text":"","code":"LineagePlot(   srt,   lineages,   weights = NULL,   reduction = NULL,   dims = c(1, 2),   cells = NULL,   trim = c(0.01, 0.99),   span = 0.75,   palette = \"Dark2\",   palcolor = NULL,   lineages_arrow = arrow(length = unit(0.1, \"inches\")),   linewidth = 1,   line_bg = \"white\",   line_bg_stroke = 0.5,   whiskers = FALSE,   whiskers_linewidth = 0.5,   whiskers_alpha = 0.5,   aspect.ratio = 1,   title = NULL,   subtitle = NULL,   xlab = NULL,   ylab = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   return_layer = FALSE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/LineagePlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"LineagePlot — LineagePlot","text":"seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/LineagePlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"LineagePlot — LineagePlot","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", show_plot = FALSE) LineagePlot(pancreas_sub, lineages = paste0(\"Lineage\", 1:3))  LineagePlot(pancreas_sub, lineages = paste0(\"Lineage\", 1:3), whiskers = TRUE)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ListDB.html","id":null,"dir":"Reference","previous_headings":"","what":"ListDB — ListDB","title":"ListDB — ListDB","text":"ListDB","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ListDB.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"ListDB — ListDB","text":"","code":"ListDB(species = \"Homo_sapiens\", db = NULL)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ListDB.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"ListDB — ListDB","text":"db","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ListDB.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"ListDB — ListDB","text":"","code":"ListDB(species = \"Homo_sapiens\") #> [1] identifier version    comment    timestamp  date       db_version db_name    file       #> <0 rows> (or 0-length row.names) ListDB(species = \"Mus_musculus\") #>                                                         identifier version                                      comment #> 1 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson)              0.1.7             6.0.0 nterm:5960|Mus_musculus-DO #> 2 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson)              0.1.7 2023-09-04 08:03 nterm:10294|Mus_musculus-MP #> 3 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson)              0.1.7        3.17.0 nterm:16027|Mus_musculus-GO_BP #> 4 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson)              0.1.7          3.17.0 nterm:56|Mus_musculus-Enzyme #> 5 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson)              0.1.7        3.17.0 nterm:11|Mus_musculus-GeneType #> 6 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson)              0.1.7      3.17.0 nterm:23|Mus_musculus-Chromosome #> 7 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson)              0.1.7         VerSeDa nterm:1|Mus_musculus-VerSeDa #> 8 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson)              0.1.7               CSPA nterm:1|Mus_musculus-CSPA #> 9 Rcache v0.1.7 (R package R.cache by Henrik Bengtsson)              0.1.7          AnimalTFDB4 nterm:2|Mus_musculus-TF #>    timestamp                       date                   db_version                 db_name #> 1 1694187370 2023-09-08 15:36:09.611605             6.0.0 nterm:5960         Mus_musculus-DO #> 2 1694187363 2023-09-08 15:36:02.719487 2023-09-04 08:03 nterm:10294         Mus_musculus-MP #> 3 1694187056 2023-09-08 15:30:55.528871           3.17.0 nterm:16027      Mus_musculus-GO_BP #> 4 1694186476 2023-09-08 15:21:16.402184              3.17.0 nterm:56     Mus_musculus-Enzyme #> 5 1694186469 2023-09-08 15:21:08.639145              3.17.0 nterm:11   Mus_musculus-GeneType #> 6 1694186408 2023-09-08 15:20:08.228887              3.17.0 nterm:23 Mus_musculus-Chromosome #> 7 1694186352 2023-09-08 15:19:12.293131              VerSeDa nterm:1    Mus_musculus-VerSeDa #> 8 1694186327 2023-09-08 15:18:47.073713                 CSPA nterm:1       Mus_musculus-CSPA #> 9 1694186316 2023-09-08 15:18:36.351696          AnimalTFDB4 nterm:2         Mus_musculus-TF #>                                                                    file #> 1 /home/runner/.cache/R/R.cache/792dd0f1ca33ed8236cf6e82be723937.Rcache #> 2 /home/runner/.cache/R/R.cache/bc3123b03f0a175d52acb01b33815f41.Rcache #> 3 /home/runner/.cache/R/R.cache/42b4d036008b98824957461afba8e2f3.Rcache #> 4 /home/runner/.cache/R/R.cache/008eb78c5dea0f0a9c643a671db7ba86.Rcache #> 5 /home/runner/.cache/R/R.cache/feae616aade8debb4c248b537cbdaf65.Rcache #> 6 /home/runner/.cache/R/R.cache/e2c36a88c14e46ebb8d542a1faefd195.Rcache #> 7 /home/runner/.cache/R/R.cache/c81fdce160dcfca80a3a94cacd3ca65b.Rcache #> 8 /home/runner/.cache/R/R.cache/267624ab3d48b245ce01deac5165a7b1.Rcache #> 9 /home/runner/.cache/R/R.cache/82f852e1d9ed5c0a5ad672b843c18742.Rcache"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/MNN_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"MNN_integrate — MNN_integrate","title":"MNN_integrate — MNN_integrate","text":"MNN_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/MNN_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"MNN_integrate — MNN_integrate","text":"","code":"MNN_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   linear_reduction = \"pca\",   linear_reduction_dims = 50,   linear_reduction_dims_use = NULL,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   mnnCorrect_params = list(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/MNN_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"MNN_integrate — MNN_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". linear_reduction linear reduction method name. Can one \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Dimensions calculate performing linear reduction. linear_reduction_dims_use dimensions use performing nonlinear reduction. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PAGAPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"PAGA plot — PAGAPlot","title":"PAGA plot — PAGAPlot","text":"PAGA plot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PAGAPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"PAGA plot — PAGAPlot","text":"","code":"PAGAPlot(   srt,   paga = srt@misc$paga,   type = \"connectivities\",   reduction = NULL,   dims = c(1, 2),   cells = NULL,   show_transition = FALSE,   node_palette = \"Paired\",   node_palcolor = NULL,   node_size = 4,   node_alpha = 1,   node_highlight = NULL,   node_highlight_color = \"red\",   label = FALSE,   label.size = 3.5,   label.fg = \"white\",   label.bg = \"black\",   label.bg.r = 0.1,   label_insitu = FALSE,   label_repel = FALSE,   label_repulsion = 20,   label_point_size = 1,   label_point_color = \"black\",   label_segment_color = \"black\",   edge_threshold = 0.01,   edge_line = c(\"straight\", \"curved\"),   edge_line_curvature = 0.3,   edge_line_angle = 90,   edge_size = c(0.2, 1),   edge_color = \"grey40\",   edge_alpha = 0.5,   edge_shorten = 0,   edge_offset = 0,   edge_highlight = NULL,   edge_highlight_color = \"red\",   transition_threshold = 0.01,   transition_line = c(\"straight\", \"curved\"),   transition_line_curvature = 0.3,   transition_line_angle = 90,   transition_size = c(0.2, 1),   transition_color = \"black\",   transition_alpha = 1,   transition_arrow_type = \"closed\",   transition_arrow_angle = 20,   transition_arrow_length = unit(0.02, \"npc\"),   transition_shorten = 0.05,   transition_offset = 0,   transition_highlight = NULL,   transition_highlight_color = \"red\",   aspect.ratio = 1,   title = \"PAGA\",   subtitle = NULL,   xlab = NULL,   ylab = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   return_layer = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PAGAPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"PAGA plot — PAGAPlot","text":"theme_args","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PAGAPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"PAGA plot — PAGAPlot","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunPAGA(srt = pancreas_sub, group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\", return_seurat = TRUE) #> 'misc' slot is not converted. #> 'tools' slot is not converted. PAGAPlot(pancreas_sub)  PAGAPlot(pancreas_sub, type = \"connectivities_tree\")  PAGAPlot(pancreas_sub, reduction = \"PCA\")  PAGAPlot(pancreas_sub, reduction = \"PAGAUMAP2D\")  PAGAPlot(pancreas_sub, label = TRUE)  PAGAPlot(pancreas_sub, label = TRUE, label_insitu = TRUE)  PAGAPlot(pancreas_sub, label = TRUE, label_insitu = TRUE, label_repel = TRUE)  PAGAPlot(pancreas_sub, edge_line = \"curved\")  PAGAPlot(pancreas_sub, node_size = \"GroupSize\")  PAGAPlot(pancreas_sub, node_highlight = \"Ductal\")  PAGAPlot(pancreas_sub, edge_highlight = paste(\"Pre-endocrine\", levels(pancreas_sub$SubCellType), sep = \"-\"))   pancreas_sub <- RunSCVELO(srt = pancreas_sub, group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\", return_seurat = TRUE) #> 'misc' slot is not converted. #> 'tools' slot is not converted. #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from variance_stochastic_ to variancestochastic_ #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from variance_velocity_ to variancevelocity_ PAGAPlot(pancreas_sub, show_transition = TRUE)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareDB.html","id":null,"dir":"Reference","previous_headings":"","what":"Prepare the gene annotation databases — PrepareDB","title":"Prepare the gene annotation databases — PrepareDB","text":"Prepare gene annotation databases","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareDB.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Prepare the gene annotation databases — PrepareDB","text":"","code":"PrepareDB(   species = c(\"Homo_sapiens\", \"Mus_musculus\"),   db = c(\"GO\", \"GO_BP\", \"GO_CC\", \"GO_MF\", \"KEGG\", \"WikiPathway\", \"Reactome\",     \"ProteinComplex\", \"DGI\", \"MP\", \"DO\", \"HPO\", \"PFAM\", \"Chromosome\", \"GeneType\",     \"Enzyme\", \"TF\", \"CSPA\", \"Surfaceome\", \"SPRomeDB\", \"VerSeDa\", \"TFLink\", \"hTFtarget\",     \"TRRUST\", \"JASPAR\", \"ENCODE\", \"MSigDB\", \"CellTalk\", \"CellChat\"),   db_IDtypes = c(\"symbol\", \"entrez_id\", \"ensembl_id\"),   db_version = \"latest\",   db_update = FALSE,   convert_species = TRUE,   Ensembl_version = 103,   mirror = NULL,   biomart = NULL,   max_tries = 5,   custom_TERM2GENE = NULL,   custom_TERM2NAME = NULL,   custom_species = NULL,   custom_IDtype = NULL,   custom_version = NULL )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareDB.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Prepare the gene annotation databases — PrepareDB","text":"species species db Enrichment database name. db_update Whether update database latest version. custom_version","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareDB.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Prepare the gene annotation databases — PrepareDB","text":"list containing database.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareDB.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Prepare the gene annotation databases — PrepareDB","text":"","code":"if (interactive()) {   db_list <- PrepareDB(species = \"Homo_sapiens\", db = \"GO_BP\")   ListDB(species = \"Homo_sapiens\", db = \"GO_BP\")   head(db_list[[\"Homo_sapiens\"]][[\"GO_BP\"]][[\"TERM2GENE\"]])    # Based on homologous gene conversion, prepare a gene annotation database that originally does not exist in the species.   db_list <- PrepareDB(species = \"Homo_sapiens\", db = \"MP\")   ListDB(species = \"Homo_sapiens\", db = \"MP\")   head(db_list[[\"Homo_sapiens\"]][[\"MP\"]][[\"TERM2GENE\"]])    # Prepare databases for other species   db_list <- PrepareDB(species = \"Macaca_fascicularis\", db = \"GO_BP\")   ListDB(species = \"Macaca_fascicularis\", db = \"GO_BP\")   head(db_list[[\"Macaca_fascicularis\"]][[\"GO_BP\"]][[\"TERM2GENE\"]])    db_list <- PrepareDB(species = \"Saccharomyces_cerevisiae\", db = \"GO_BP\")   ListDB(species = \"Saccharomyces_cerevisiae\", db = \"GO_BP\")   head(db_list[[\"Saccharomyces_cerevisiae\"]][[\"GO_BP\"]][[\"TERM2GENE\"]])    # Prepare databases for Arabidopsis (plant)   db_list <- PrepareDB(     species = \"Arabidopsis_thaliana\",     db = c(       \"GO_BP\", \"GO_CC\", \"GO_MF\", \"KEGG\", \"WikiPathway\",       \"ENZYME\", \"Chromosome\"     ),     biomart = \"plants_mart\"   )   head(db_list[[\"Arabidopsis_thaliana\"]][[\"KEGG\"]][[\"TERM2GENE\"]])    # You can also build a custom database based on the gene sets you have   ccgenes <- CC_GenePrefetch(\"Homo_sapiens\")   custom_TERM2GENE <- rbind(     data.frame(term = \"S_genes\", gene = ccgenes[[\"cc_S_genes\"]]),     data.frame(term = \"G2M_genes\", gene = ccgenes[[\"cc_G2M_genes\"]])   )   str(custom_TERM2GENE)    # Set convert_species = TRUE to build a custom database for both species, with the name \"CellCycle\"   db_list <- PrepareDB(     species = c(\"Homo_sapiens\", \"Mus_musculus\"), db = \"CellCycle\", convert_species = TRUE,     custom_TERM2GENE = custom_TERM2GENE, custom_species = \"Homo_sapiens\", custom_IDtype = \"symbol\", custom_version = \"Seurat_v4\"   )   ListDB(db = \"CellCycle\")    db_list <- PrepareDB(species = \"Mus_musculus\", db = \"CellCycle\")   head(db_list[[\"Mus_musculus\"]][[\"CellCycle\"]][[\"TERM2GENE\"]]) }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareEnv.html","id":null,"dir":"Reference","previous_headings":"","what":"Prepare SCP python environment — PrepareEnv","title":"Prepare SCP python environment — PrepareEnv","text":"Prepare SCP python environment","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareEnv.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Prepare SCP python environment — PrepareEnv","text":"","code":"PrepareEnv(   conda = \"auto\",   miniconda_repo = \"https://repo.anaconda.com/miniconda\",   python_version = \"3.8\",   envname = NULL,   force = FALSE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareEnv.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Prepare SCP python environment — PrepareEnv","text":"conda path conda executable. Use \"auto\" allow SCP automatically find appropriate conda binary. miniconda_repo Repositories miniconda. Default https://repo.anaconda.com/miniconda python_version version python install. Default 3.8 envname name conda environment. force Whether force new environment created. TRUE, existing environment recreated. Default FALSE ... arguments passed conda_install","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareSCExplorer.html","id":null,"dir":"Reference","previous_headings":"","what":"Prepare Seurat object data for the SCExplorer into hdf5 file — PrepareSCExplorer","title":"Prepare Seurat object data for the SCExplorer into hdf5 file — PrepareSCExplorer","text":"Prepare Seurat object data SCExplorer hdf5 file","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareSCExplorer.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Prepare Seurat object data for the SCExplorer into hdf5 file — PrepareSCExplorer","text":"","code":"PrepareSCExplorer(   object,   base_dir = \"SCExplorer\",   DataFile = \"Data.hdf5\",   MetaFile = \"Meta.hdf5\",   assays = \"RNA\",   slots = c(\"counts\", \"data\"),   ignore_nlevel = 100,   write_tools = FALSE,   write_misc = FALSE,   compression_level = 6,   overwrite = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareSCExplorer.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Prepare Seurat object data for the SCExplorer into hdf5 file — PrepareSCExplorer","text":"overwrite","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/PrepareSCExplorer.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Prepare Seurat object data for the SCExplorer into hdf5 file — PrepareSCExplorer","text":"","code":"if (FALSE) { data(\"pancreas_sub\") pancreas_sub <- Standard_SCP(pancreas_sub) PrepareSCExplorer(pancreas_sub, base_dir = \"./SCExplorer\") }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ProjectionPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"Projection Plot — ProjectionPlot","title":"Projection Plot — ProjectionPlot","text":"Projection Plot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ProjectionPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Projection Plot — ProjectionPlot","text":"","code":"ProjectionPlot(   srt_query,   srt_ref,   query_group = NULL,   ref_group = NULL,   query_feature = NULL,   ref_feature = NULL,   query_reduction = \"ref.embeddings\",   ref_reduction = srt_query[[query_reduction]]@misc[[\"reduction.model\"]] %||% NULL,   query_param = list(palette = \"Set1\", cells.highlight = TRUE),   ref_param = list(palette = \"Paired\"),   xlim = NULL,   ylim = NULL,   pt.size = 0.8,   stroke.highlight = 0.5 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ProjectionPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Projection Plot — ProjectionPlot","text":"stroke.highlight","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ProjectionPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Projection Plot — ProjectionPlot","text":"","code":"data(\"panc8_sub\") srt_ref <- panc8_sub[, panc8_sub$tech != \"fluidigmc1\"] srt_query <- panc8_sub[, panc8_sub$tech == \"fluidigmc1\"] srt_ref <- Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"Seurat\") #> [2023-09-08 16:03:42.87913] Start Seurat_integrate #> Error in Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"Seurat\"): object 'srt_ref' not found CellDimPlot(srt_ref, group.by = c(\"celltype\", \"tech\")) #> Error in DefaultReduction(srt): Unable to find any reductions.  # Projection srt_query <- RunKNNMap(srt_query = srt_query, srt_ref = srt_ref, ref_umap = \"SeuratUMAP2D\") #> Error: Cannot find 'SeuratUMAP2D' in this Seurat object ProjectionPlot(srt_query = srt_query, srt_ref = srt_ref, query_group = \"celltype\", ref_group = \"celltype\") #> Error: Cannot find 'ref.embeddings' in this Seurat object"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RecoverCounts.html","id":null,"dir":"Reference","previous_headings":"","what":"Attempt to recover raw counts from the normalized matrix. — RecoverCounts","title":"Attempt to recover raw counts from the normalized matrix. — RecoverCounts","text":"Attempt recover raw counts normalized matrix.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RecoverCounts.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Attempt to recover raw counts from the normalized matrix. — RecoverCounts","text":"","code":"RecoverCounts(   srt,   assay = NULL,   trans = c(\"expm1\", \"exp\", \"none\"),   min_count = c(1, 2, 3),   tolerance = 0.1,   sf = NULL,   verbose = TRUE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RecoverCounts.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Attempt to recover raw counts from the normalized matrix. — RecoverCounts","text":"srt Seurat object. assay Name assay recover counts. trans transformation function applied data presumed log-normalized. min_count Minimum UMI count genes. tolerance recovering raw counts, nCount cell theoretically calculated integer. However, due decimal point preservation normalization, calculated nCount usually floating point number close integer. tolerance difference integer. Default 0.1 sf Set scaling factor manually. verbose Show messages.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RecoverCounts.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Attempt to recover raw counts from the normalized matrix. — RecoverCounts","text":"","code":"data(\"pancreas_sub\") raw_counts <- pancreas_sub@assays$RNA@counts  # Normalized the data pancreas_sub <- Seurat::NormalizeData(pancreas_sub)  # Now replace counts with the log-normalized data matrix pancreas_sub@assays$RNA@counts <- pancreas_sub@assays$RNA@data  # Recover the counts and compare with the raw counts matrix pancreas_sub <- RecoverCounts(pancreas_sub) #> The data is presumed to be log-normalized. #> Perform expm1 on the raw data. #> The presumed scale factor: 10000 identical(raw_counts, pancreas_sub@assays$RNA@counts) #> [1] TRUE"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RenameClusters.html","id":null,"dir":"Reference","previous_headings":"","what":"Rename clusters for the Seurat object — RenameClusters","title":"Rename clusters for the Seurat object — RenameClusters","text":"Rename clusters Seurat object","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RenameClusters.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Rename clusters for the Seurat object — RenameClusters","text":"","code":"RenameClusters(   srt,   group.by,   nameslist = list(),   name = \"newclusters\",   keep_levels = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RenameClusters.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Rename clusters for the Seurat object — RenameClusters","text":"srt Seurat object. group.old group used rename cells. nameslist named list new cluster value. name name new cluster stored Seurat object. keep_levels old group factor, keep order levels.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RenameClusters.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Rename clusters for the Seurat object — RenameClusters","text":"","code":"data(\"pancreas_sub\") levels(pancreas_sub@meta.data[[\"SubCellType\"]]) #> [1] \"Ductal\"        \"Ngn3 low EP\"   \"Ngn3 high EP\"  \"Pre-endocrine\" \"Beta\"          \"Alpha\"         \"Delta\"         #> [8] \"Epsilon\"        # Rename all clusters pancreas_sub <- RenameClusters(pancreas_sub, group.by = \"SubCellType\", nameslist = letters[1:8]) CellDimPlot(pancreas_sub, \"newclusters\")   # Rename specified clusters pancreas_sub <- RenameClusters(pancreas_sub,   group.by = \"SubCellType\",   nameslist = list(\"a\" = \"Alpha\", \"b\" = \"Beta\") ) CellDimPlot(pancreas_sub, \"newclusters\")   # Merge and rename clusters pancreas_sub <- RenameClusters(pancreas_sub,   group.by = \"SubCellType\",   nameslist = list(\"EndocrineClusters\" = c(\"Alpha\", \"Beta\", \"Epsilon\", \"Delta\")),   name = \"Merged\", keep_levels = TRUE ) CellDimPlot(pancreas_sub, \"Merged\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RenameFeatures.html","id":null,"dir":"Reference","previous_headings":"","what":"Rename features for the Seurat object — RenameFeatures","title":"Rename features for the Seurat object — RenameFeatures","text":"Rename features Seurat object","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RenameFeatures.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Rename features for the Seurat object — RenameFeatures","text":"","code":"RenameFeatures(srt, newnames = NULL, assays = NULL)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RenameFeatures.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Rename features for the Seurat object — RenameFeatures","text":"srt Seurat object. newnames vector length features Seurat object, characters named old features. assays Assays rename.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RenameFeatures.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Rename features for the Seurat object — RenameFeatures","text":"","code":"data(\"panc8_sub\") head(rownames(panc8_sub)) #> [1] \"A1BG\"   \"A1CF\"   \"A2M\"    \"A4GALT\" \"AAAS\"   \"AACS\"   # Simply convert genes from human to mouse and preprocess the data genenames <- make.unique(capitalize(rownames(panc8_sub), force_tolower = TRUE)) panc8_rename <- RenameFeatures(panc8_sub, newnames = genenames) #> Rename features for the assay: RNA head(rownames(panc8_rename)) #> [1] \"A1bg\"   \"A1cf\"   \"A2m\"    \"A4galt\" \"Aaas\"   \"Aacs\""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunCSSMap.html","id":null,"dir":"Reference","previous_headings":"","what":"Single-cell reference mapping with CSS method — RunCSSMap","title":"Single-cell reference mapping with CSS method — RunCSSMap","text":"Single-cell reference mapping CSS method","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunCSSMap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Single-cell reference mapping with CSS method — RunCSSMap","text":"","code":"RunCSSMap(   srt_query,   srt_ref,   query_assay = NULL,   ref_assay = srt_ref[[ref_css]]@assay.used,   ref_css = NULL,   ref_umap = NULL,   ref_group = NULL,   projection_method = c(\"model\", \"knn\"),   nn_method = NULL,   k = 30,   distance_metric = \"cosine\",   vote_fun = \"mean\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunCSSMap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Single-cell reference mapping with CSS method — RunCSSMap","text":"ref_assay","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunCSSMap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Single-cell reference mapping with CSS method — RunCSSMap","text":"","code":"data(\"panc8_sub\") srt_ref <- panc8_sub[, panc8_sub$tech != \"fluidigmc1\"] srt_query <- panc8_sub[, panc8_sub$tech == \"fluidigmc1\"] srt_ref <- Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"CSS\") #> [2023-09-08 16:03:54.807823] Start CSS_integrate #> Error in Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"CSS\"): object 'srt_ref' not found CellDimPlot(srt_ref, group.by = c(\"celltype\", \"tech\")) #> Error in DefaultReduction(srt): Unable to find any reductions.  # Projection srt_query <- RunCSSMap(srt_query = srt_query, srt_ref = srt_ref, ref_css = \"CSS\", ref_umap = \"CSSUMAP2D\") #> Install package: \"simspec\" ... #> 'getOption(\"repos\")' replaces Bioconductor standard repositories, see 'help(\"repositories\", package = \"BiocManager\")' #> for details. #> Replacement repositories: #>     CRAN: https://cloud.r-project.org #> Bioconductor version 3.17 (BiocManager 1.30.22), R 4.3.1 (2023-06-16) #> Installing github package(s) 'quadbiolab/simspec' #> Warning: package ‘quadbiolab/simspec’ is not available for this version of R #>  #> A version of this package for your version of R might be available elsewhere, #> see the ideas at #> https://cran.r-project.org/doc/manuals/r-patched/R-admin.html#Installing-packages #> Using github PAT from envvar GITHUB_PAT #> Downloading GitHub repo quadbiolab/simspec@HEAD #> ── R CMD build ───────────────────────────────────────────────────────────────────────────────────────────────────────── #> * checking for file ‘/tmp/Rtmp5K7zMn/remotes8ff1496a43ee/quadbio-simspec-680488c/DESCRIPTION’ ... OK #> * preparing ‘simspec’: #> * checking DESCRIPTION meta-information ... OK #> * checking for LF line-endings in source and make files and shell scripts #> * checking for empty or unneeded directories #> Omitted ‘LazyData’ from DESCRIPTION #> * building ‘simspec_0.0.0.9000.tar.gz’ #>  #> Installing package into ‘/home/runner/work/_temp/Library’ #> (as ‘lib’ is unspecified) #> Error: Cannot find 'CSS' in this Seurat object ProjectionPlot(srt_query = srt_query, srt_ref = srt_ref, query_group = \"celltype\", ref_group = \"celltype\") #> Error: Cannot find 'ref.embeddings' in this Seurat object"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunCellQC.html","id":null,"dir":"Reference","previous_headings":"","what":"Run cell-level quality control for single cell RNA-seq data. — RunCellQC","title":"Run cell-level quality control for single cell RNA-seq data. — RunCellQC","text":"CellQC, doublet-calling run first reject abnormal cell data based median absolute deviation (MAD) outliers. doublet-calling outlier filtering, CellQC perform general QC (gene count, UMI count, etc.) reject cell data non-species interest based proportion number UMIs species.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunCellQC.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run cell-level quality control for single cell RNA-seq data. — RunCellQC","text":"","code":"RunCellQC(   srt,   assay = \"RNA\",   batch = NULL,   qc_metrics = c(\"doublets\", \"outlier\", \"umi\", \"gene\", \"mito\", \"ribo\", \"ribo_mito_ratio\",     \"species\"),   return_filtered = FALSE,   db_method = \"scDblFinder\",   db_rate = NULL,   db_coefficient = 0.01,   outlier_cutoff = c(\"log10_nCount:lower:2.5\", \"log10_nCount:higher:5\",     \"log10_nFeature:lower:2.5\", \"log10_nFeature:higher:5\", \"featurecount_dist:lower:2.5\"),   outlier_n = 1,   UMI_threshold = 3000,   gene_threshold = 1000,   mito_threshold = 20,   mito_pattern = c(\"MT-\", \"Mt-\", \"mt-\"),   mito_gene = NULL,   ribo_threshold = 50,   ribo_pattern = c(\"RP[SL]\\\\d+\\\\w{0,1}\\\\d*$\", \"Rp[sl]\\\\d+\\\\w{0,1}\\\\d*$\",     \"rp[sl]\\\\d+\\\\w{0,1}\\\\d*$\"),   ribo_gene = NULL,   ribo_mito_ratio_range = c(1, Inf),   species = NULL,   species_gene_prefix = NULL,   species_percent = 95,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunCellQC.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run cell-level quality control for single cell RNA-seq data. — RunCellQC","text":"srt Seurat object. assay Assay use. qc_metrics QC metrics applied. return_filtered Whether return cell-filtered Seurat object. db_method Doublet-calling methods used. Can one scDblFinder, Scrublet, DoubletDetection, scds_cxds, scds_bcds, scds_hybrid db_rate expected doublet rate. default assumed 1% per thousand cells captured (4% among 4000 thousand cells), appropriate 10x datasets. outlier_cutoff MAD outlier metrics. See isOutlier. outlier_n Minimum number outlier metrics meet conditions determining outlier cells. Default 1. UMI_threshold UMI number threshold. Cells exceed threshold considered kept. Default 3000. gene_threshold Gene number threshold. Cells exceed threshold considered kept. Default 1000. mito_threshold Percentage UMI counts mitochondrial genes. Cells exceed threshold considered discarded. Default 20. mito_pattern Regex patterns match mitochondrial genes. mito_gene defined mitochondrial genes. features provided, ignore mito_pattern matching. ribo_threshold Percentage UMI counts ribosomal genes. Cells exceed threshold considered discarded. Default 50. ribo_pattern Regex patterns match ribosomal genes. ribo_gene defined ribosomal genes. features provided, ignore ribo_pattern matching. species Species used suffix QC metrics. first species interest. Default NULL. species_gene_prefix Species gene prefix used calculate QC metrics species. Default NULL. species_percent Percentage UMI counts first species. Cells exceed threshold considered kept. Default 95. seed Set random seed. Default 11.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunCellQC.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run cell-level quality control for single cell RNA-seq data. — RunCellQC","text":"Returns Seurat object QC results stored meta.data slot.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunCellQC.html","id":"note","dir":"Reference","previous_headings":"","what":"Note","title":"Run cell-level quality control for single cell RNA-seq data. — RunCellQC","text":"General quality control usually uses metrics gene count, UMI count, etc. addition, ribo content mito content can used QC indicators: mito content can used indication apoptosis, general threshold 20 ribo content cell type dependent, cell types even 50 however, ribo content single cell data can also indicate whether empty droplets, ribo content empty droplets usually high mito content low instead.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunCellQC.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run cell-level quality control for single cell RNA-seq data. — RunCellQC","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunCellQC(pancreas_sub) #> >>> Total cells: 1000  #> >>> Cells which are filtered out: 26  #> ... 12 potential doublets  #> ... 14 outlier cells  #> ... 0 low-UMI cells  #> ... 0 low-gene cells  #> ... 0 high-mito cells  #> ... 0 high-ribo cells  #> ... 0 ribo_mito_ratio outlier cells  #> ... 0 species-contaminated cells  #> >>> Remained cells after filtering: 974  CellStatPlot(   srt = pancreas_sub,   stat.by = c(     \"db_qc\", \"outlier_qc\", \"umi_qc\", \"gene_qc\",     \"mito_qc\", \"ribo_qc\", \"ribo_mito_ratio_qc\", \"species_qc\"   ),   plot_type = \"upset\", stat_level = \"Fail\" ) #> `geom_line()`: Each group consists of only one observation. #> ℹ Do you need to adjust the group aesthetic? #> `geom_line()`: Each group consists of only one observation. #> ℹ Do you need to adjust the group aesthetic?  table(pancreas_sub$CellQC) #>  #> Pass Fail  #>  974   26   data(\"ifnb_sub\") ifnb_sub <- RunCellQC(ifnb_sub, batch = \"stim\", UMI_threshold = 1000, gene_threshold = 550) #> === CTRL === #> >>> Total cells: 1000  #> >>> Cells which are filtered out: 315  #> ... 54 potential doublets  #> ... 8 outlier cells  #> ... 28 low-UMI cells  #> ... 250 low-gene cells  #> ... 0 high-mito cells  #> ... 0 high-ribo cells  #> ... 0 ribo_mito_ratio outlier cells  #> ... 0 species-contaminated cells  #> >>> Remained cells after filtering: 685  #> === STIM === #> >>> Total cells: 1000  #> >>> Cells which are filtered out: 303  #> ... 42 potential doublets  #> ... 12 outlier cells  #> ... 25 low-UMI cells  #> ... 251 low-gene cells  #> ... 0 high-mito cells  #> ... 0 high-ribo cells  #> ... 0 ribo_mito_ratio outlier cells  #> ... 0 species-contaminated cells  #> >>> Remained cells after filtering: 697  CellStatPlot(   srt = ifnb_sub,   stat.by = c(     \"db_qc\", \"outlier_qc\", \"umi_qc\", \"gene_qc\",     \"mito_qc\", \"ribo_qc\", \"ribo_mito_ratio_qc\", \"species_qc\"   ),   plot_type = \"upset\", stat_level = \"Fail\" )  table(ifnb_sub$CellQC) #>  #> Pass Fail  #> 1382  618"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDEtest.html","id":null,"dir":"Reference","previous_headings":"","what":"Differential gene test — RunDEtest","title":"Differential gene test — RunDEtest","text":"Differential gene test","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDEtest.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Differential gene test — RunDEtest","text":"","code":"RunDEtest(   srt,   group_by = NULL,   group1 = NULL,   group2 = NULL,   cells1 = NULL,   cells2 = NULL,   features = NULL,   markers_type = c(\"all\", \"paired\", \"conserved\", \"disturbed\"),   grouping.var = NULL,   meta.method = c(\"maximump\", \"minimump\", \"wilkinsonp\", \"meanp\", \"sump\", \"votep\"),   test.use = \"wilcox\",   only.pos = TRUE,   fc.threshold = 1.5,   base = 2,   pseudocount.use = 1,   mean.fxn = NULL,   min.pct = 0.1,   min.diff.pct = -Inf,   max.cells.per.ident = Inf,   latent.vars = NULL,   min.cells.feature = 3,   min.cells.group = 3,   norm.method = \"LogNormalize\",   p.adjust.method = \"bonferroni\",   slot = \"data\",   assay = NULL,   BPPARAM = BiocParallel::bpparam(),   seed = 11,   verbose = TRUE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDEtest.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Differential gene test — RunDEtest","text":"srt Seurat object group_by group_by fc.threshold fc.threshold min.pct min.pct verbose  force force","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDEtest.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Differential gene test — RunDEtest","text":"","code":"library(dplyr) data(\"pancreas_sub\")  pancreas_sub <- RunDEtest(pancreas_sub, group_by = \"SubCellType\") #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. #> [2023-09-08 16:05:51.587763] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 8 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 16:05:57.21809] DEtest done #> Elapsed time:5.63 secs AllMarkers <- filter(pancreas_sub@tools$DEtest_SubCellType$AllMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1) table(AllMarkers$group1) #>  #>        Ductal   Ngn3 low EP  Ngn3 high EP Pre-endocrine          Beta         Alpha         Delta       Epsilon  #>            75            29            69            39            61            50            37            44  ht1 <- GroupHeatmap(pancreas_sub, features = AllMarkers$gene, feature_split = AllMarkers$group1, group.by = \"SubCellType\") #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht1$plot   TopMarkers <- AllMarkers %>%   group_by(gene) %>%   top_n(1, avg_log2FC) %>%   group_by(group1) %>%   top_n(3, avg_log2FC) ht2 <- GroupHeatmap(pancreas_sub, features = TopMarkers$gene, feature_split = TopMarkers$group1, group.by = \"SubCellType\", show_row_names = TRUE) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht2$plot   pancreas_sub <- RunDEtest(pancreas_sub, group_by = \"SubCellType\", markers_type = \"paired\") #> [2023-09-08 16:06:00.096301] Start DEtest #> Workers: 1 #> Find paired markers(wilcox) among 8 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 16:06:27.481414] DEtest done #> Elapsed time:27.39 secs PairedMarkers <- filter(pancreas_sub@tools$DEtest_SubCellType$PairedMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1) table(PairedMarkers$group1) #>  #>        Ductal   Ngn3 low EP  Ngn3 high EP Pre-endocrine          Beta         Alpha         Delta       Epsilon  #>           893           787           680           571           645           575           426           575  ht3 <- GroupHeatmap(pancreas_sub, features = PairedMarkers$gene, feature_split = PairedMarkers$group1, group.by = \"SubCellType\") #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht3$plot   data(\"panc8_sub\") panc8_sub <- Integration_SCP(panc8_sub, batch = \"tech\", integration_method = \"Seurat\") #> [2023-09-08 16:06:39.909879] Start Seurat_integrate #> [2023-09-08 16:06:39.925578] Spliting srtMerge into srtList by column tech... ... #> [2023-09-08 16:06:40.490097] Checking srtList... ... #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/5 of the srtList... #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 2/5 of the srtList... #> Data 3/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 3/5 of the srtList... #> Data 4/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 4/5 of the srtList... #> Data 5/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 5/5 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-08 16:06:43.6269] Finished checking. #> [2023-09-08 16:06:44.189758] Perform FindIntegrationAnchors on the data... #> [2023-09-08 16:07:13.8601] Perform integration(Seurat) on the data... #> [2023-09-08 16:07:25.046555] Perform ScaleData on the data... #> [2023-09-08 16:07:25.229411] Perform linear dimension reduction (pca) on the data... #> [2023-09-08 16:07:26.565153] Perform FindClusters (louvain) on the data... #> [2023-09-08 16:07:26.750985] Reorder clusters... #> [2023-09-08 16:07:26.982299] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Seuratpca, dims:1-12) as input #> Non-linear dimensionality reduction(umap) using Reduction(Seuratpca, dims:1-12) as input #> [2023-09-08 16:07:39.545865] Seurat_integrate done #> Elapsed time: 59.64 secs  CellDimPlot(panc8_sub, group.by = c(\"celltype\", \"tech\"))   panc8_sub <- RunDEtest(panc8_sub, group_by = \"celltype\", grouping.var = \"tech\", markers_type = \"conserved\") #> [2023-09-08 16:07:40.545424] Start DEtest #> Workers: 1 #> Find conserved markers(wilcox) among 13 groups... #>    |                                                                                                                       |                                                                                                              |   0% #> Warning: celseq has fewer than 3 cells. Skipping celseq #> Warning: celseq has fewer than 3 cells. Skipping celseq #> Warning: celseq2 has fewer than 3 cells. Skipping celseq2 #> Warning: fluidigmc1 has fewer than 3 cells. Skipping fluidigmc1 #> Warning: smartseq2 has fewer than 3 cells. Skipping smartseq2 #> Warning: indrop has fewer than 3 cells. Skipping indrop #> Warning: No group was tested #> Warning: celseq has fewer than 3 cells. Skipping celseq #> Warning: celseq2 has fewer than 3 cells. Skipping celseq2 #> Warning: smartseq2 has fewer than 3 cells. Skipping smartseq2 #> Warning: celseq has fewer than 3 cells. Skipping celseq #> Warning: fluidigmc1 has fewer than 3 cells. Skipping fluidigmc1 #> Warning: smartseq2 has fewer than 3 cells. Skipping smartseq2 #> Warning: celseq has fewer than 3 cells. Skipping celseq #> Warning: celseq2 has fewer than 3 cells. Skipping celseq2 #> Warning: fluidigmc1 has fewer than 3 cells. Skipping fluidigmc1 #> Warning: smartseq2 has fewer than 3 cells. Skipping smartseq2 #> Warning: Only a single group was tested #> Warning: celseq has fewer than 3 cells. Skipping celseq #> Warning: celseq2 has fewer than 3 cells. Skipping celseq2 #> Warning: smartseq2 has fewer than 3 cells. Skipping smartseq2 #> Warning: indrop has fewer than 3 cells. Skipping indrop #> Warning: Only a single group was tested #>    |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 16:08:21.774146] DEtest done #> Elapsed time:41.23 secs ConservedMarkers1 <- filter(panc8_sub@tools$DEtest_celltype$ConservedMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1) table(ConservedMarkers1$group1) #>  #>              alpha               beta             ductal             acinar activated_stellate              gamma  #>                 34                 47                145                 89                171                 16  #>              delta            epsilon               mast        endothelial         macrophage quiescent_stellate  #>                  8                  0                  0                128                152                105  #>            schwann  #>                 16  ht4 <- GroupHeatmap(panc8_sub,   slot = \"data\",   features = ConservedMarkers1$gene, feature_split = ConservedMarkers1$group1,   group.by = \"tech\", split.by = \"celltype\", within_groups = TRUE ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht4$plot   panc8_sub <- RunDEtest(panc8_sub, group_by = \"tech\", grouping.var = \"celltype\", markers_type = \"conserved\") #> [2023-09-08 16:08:32.272726] Start DEtest #> Workers: 1 #> Find conserved markers(wilcox) among 5 groups... #>    |                                                                                                                       |                                                                                                              |   0% #> Warning: mast has fewer than 3 cells. Skipping mast #> Warning: schwann has fewer than 3 cells. Skipping schwann #> Warning: epsilon has fewer than 3 cells. Skipping epsilon #> Warning: macrophage has fewer than 3 cells. Skipping macrophage #> Warning: quiescent_stellate has fewer than 3 cells. Skipping quiescent_stellate #> Warning: endothelial has fewer than 3 cells. Skipping endothelial #> Warning: activated_stellate has fewer than 3 cells. Skipping activated_stellate #> Warning: mast has fewer than 3 cells. Skipping mast #> Warning: schwann has fewer than 3 cells. Skipping schwann #> Warning: epsilon has fewer than 3 cells. Skipping epsilon #> Warning: quiescent_stellate has fewer than 3 cells. Skipping quiescent_stellate #> Warning: endothelial has fewer than 3 cells. Skipping endothelial #> Warning: mast has fewer than 3 cells. Skipping mast #> Warning: schwann has fewer than 3 cells. Skipping schwann #> Warning: epsilon has fewer than 3 cells. Skipping epsilon #> Warning: macrophage has fewer than 3 cells. Skipping macrophage #> Warning: quiescent_stellate has fewer than 3 cells. Skipping quiescent_stellate #> Warning: mast has fewer than 3 cells. Skipping mast #> Warning: schwann has fewer than 3 cells. Skipping schwann #> Warning: epsilon has fewer than 3 cells. Skipping epsilon #> Warning: mast has fewer than 3 cells. Skipping mast #> Warning: schwann has fewer than 3 cells. Skipping schwann #> Warning: epsilon has fewer than 3 cells. Skipping epsilon #> Warning: macrophage has fewer than 3 cells. Skipping macrophage #> Warning: quiescent_stellate has fewer than 3 cells. Skipping quiescent_stellate #> Warning: endothelial has fewer than 3 cells. Skipping endothelial #>    |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 16:09:05.45375] DEtest done #> Elapsed time:33.18 secs ConservedMarkers2 <- filter(panc8_sub@tools$DEtest_tech$ConservedMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1) table(ConservedMarkers2$group1) #>  #>     celseq    celseq2 fluidigmc1     indrop  smartseq2  #>         29         11         61         52         22  ht4 <- GroupHeatmap(panc8_sub,   slot = \"data\",   features = ConservedMarkers2$gene, feature_split = ConservedMarkers2$group1,   group.by = \"tech\", split.by = \"celltype\" ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht4$plot   panc8_sub <- RunDEtest(panc8_sub, group_by = \"celltype\", grouping.var = \"tech\", markers_type = \"disturbed\") #> [2023-09-08 16:09:09.068901] Start DEtest #> Workers: 1 #> Find disturbed markers(wilcox) among 13 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 16:09:46.431823] DEtest done #> Elapsed time:37.36 secs DisturbedMarkers <- filter(panc8_sub@tools$DEtest_celltype$DisturbedMarkers_wilcox, p_val_adj < 0.05 & avg_log2FC > 1 & var1 == \"smartseq2\") table(DisturbedMarkers$group1) #>  #>              alpha               beta             ductal             acinar activated_stellate              gamma  #>                 37                117                 71                116                  5                  6  #>              delta            epsilon               mast        endothelial         macrophage quiescent_stellate  #>                 16                  0                  0                  0                  0                  0  #>            schwann  #>                  0  ht5 <- GroupHeatmap(panc8_sub,   slot = \"data\",   features = DisturbedMarkers$gene, feature_split = DisturbedMarkers$group1,   group.by = \"celltype\", split.by = \"tech\" ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht5$plot   gene_specific <- names(which(table(DisturbedMarkers$gene) == 1)) DisturbedMarkers_specific <- DisturbedMarkers[DisturbedMarkers$gene %in% gene_specific, ] table(DisturbedMarkers_specific$group1) #>  #>              alpha               beta             ductal             acinar activated_stellate              gamma  #>                  3                 67                 27                 61                  4                  3  #>              delta            epsilon               mast        endothelial         macrophage quiescent_stellate  #>                 13                  0                  0                  0                  0                  0  #>            schwann  #>                  0  ht6 <- GroupHeatmap(panc8_sub,   slot = \"data\",   features = DisturbedMarkers_specific$gene, feature_split = DisturbedMarkers_specific$group1,   group.by = \"celltype\", split.by = \"tech\" ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht6$plot   ht7 <- GroupHeatmap(panc8_sub,   slot = \"data\", aggregate_fun = function(x) mean(expm1(x)) + 1,   features = DisturbedMarkers_specific$gene, feature_split = DisturbedMarkers_specific$group1,   group.by = \"celltype\", grouping.var = \"tech\", numerator = \"smartseq2\" ) #> Warning: When 'grouping.var' is specified, 'exp_method' can only be 'log2fc' #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. ht7$plot"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDM.html","id":null,"dir":"Reference","previous_headings":"","what":"Run DiffusionMap(DM) — RunDM","title":"Run DiffusionMap(DM) — RunDM","text":"Run DM dimensionality reduction.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDM.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run DiffusionMap(DM) — RunDM","text":"","code":"RunDM(object, ...)  # S3 method for Seurat RunDM(   object,   reduction = \"pca\",   dims = 1:30,   features = NULL,   assay = NULL,   slot = \"data\",   graph = NULL,   neighbor = NULL,   ndcs = 2,   sigma = \"local\",   k = 30,   dist.method = \"euclidean\",   reduction.name = \"dm\",   reduction.key = \"DM_\",   seed.use = 42,   verbose = TRUE,   ... )  # S3 method for matrix RunDM(   object,   ndcs = 2,   sigma = \"local\",   k = 30,   dist.method = \"euclidean\",   assay = NULL,   slot = \"data\",   reduction.key = \"DM_\",   seed.use = 42,   verbose = TRUE,   ... )  # S3 method for Neighbor RunDM(   object,   ndcs = 2,   sigma = \"local\",   k = 30,   slot = \"data\",   assay = NULL,   reduction.key = \"DM_\",   verbose = TRUE,   seed.use = 42,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDM.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run DiffusionMap(DM) — RunDM","text":"object  ...  assay Name Assay dm run . slot Name slot dm run . graph  ndcs Total Number DM compute store (2 default). reduction.name dimensional reduction name, 'dm' default reduction.key dimensional reduction key, specifies string number dimension names. \"DM_\" default. seed.use Set random seed. default, sets seed 42. Setting NULL set seed. verbose Show progressbar progress information","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDM.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run DiffusionMap(DM) — RunDM","text":"Returns Seurat object DM calculation stored reductions slot.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDimReduction.html","id":null,"dir":"Reference","previous_headings":"","what":"Run dimensionality reduction — RunDimReduction","title":"Run dimensionality reduction — RunDimReduction","text":"Run dimensionality reduction","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDimReduction.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run dimensionality reduction — RunDimReduction","text":"","code":"RunDimReduction(   srt,   prefix = \"\",   features = NULL,   assay = NULL,   slot = \"data\",   linear_reduction = NULL,   linear_reduction_dims = 50,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   nonlinear_reduction = NULL,   nonlinear_reduction_dims = 2,   reduction_use = NULL,   reduction_dims = NULL,   graph_use = NULL,   neighbor_use = NULL,   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   verbose = TRUE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDimReduction.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run dimensionality reduction — RunDimReduction","text":"srt Seurat object. prefix prefix used name result. features Use features expression data run linear nonlinear dimensionality reduction. assay Specific assay get data . slot Specific slot get data . linear_reduction Method linear dimensionality reduction. Options \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Total number dimensions compute store linear_reduction. linear_reduction_params parameters passed linear_reduction method. force_linear_reduction Whether force linear dimensionality reduction. nonlinear_reduction Method nonlinear dimensionality reduction. Options \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\" nonlinear_reduction_dims Total number dimensions compute store nonlinear_reduction. reduction_use dimensional reduction use input nonlinear_reduction. reduction_dims dimensions use input nonlinear_reduction, used features NULL. graph_use Name graph use nonlinear_reduction. neighbor_use Name neighbor use nonlinear_reduction. nonlinear_reduction_params parameters passed nonlinear_reduction method. force_nonlinear_reduction Whether force nonlinear dimensionality reduction. verbose Show messages. seed Set seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDoubletCalling.html","id":null,"dir":"Reference","previous_headings":"","what":"Run doublet-calling for single cell RNA-seq data. — RunDoubletCalling","title":"Run doublet-calling for single cell RNA-seq data. — RunDoubletCalling","text":"Identification heterotypic (neotypic) doublets single-cell RNAseq data.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDoubletCalling.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run doublet-calling for single cell RNA-seq data. — RunDoubletCalling","text":"","code":"RunDoubletCalling(   srt,   assay = \"RNA\",   db_method = \"scDblFinder\",   db_rate = ncol(srt)/1000 * 0.01,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDoubletCalling.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run doublet-calling for single cell RNA-seq data. — RunDoubletCalling","text":"srt Seurat object. assay Assay use. db_method Doublet-calling methods used. Can one scDblFinder, Scrublet, DoubletDetection, scds_cxds, scds_bcds, scds_hybrid db_rate expected doublet rate. default assumed 1% per thousand cells captured (4% among 4000 thousand cells), appropriate 10x datasets. ... Arguments passed corresponding doublet-calling method.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDoubletCalling.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run doublet-calling for single cell RNA-seq data. — RunDoubletCalling","text":"Returns Seurat object doublet prediction results prediction scores stored meta.data slot.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDoubletCalling.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run doublet-calling for single cell RNA-seq data. — RunDoubletCalling","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunDoubletCalling(pancreas_sub, db_method = \"scDblFinder\") CellDimPlot(pancreas_sub, reduction = \"umap\", group.by = \"db.scDblFinder_class\")  FeatureDimPlot(pancreas_sub, reduction = \"umap\", features = \"db.scDblFinder_score\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDynamicEnrichment.html","id":null,"dir":"Reference","previous_headings":"","what":"RunDynamicEnrichment — RunDynamicEnrichment","title":"RunDynamicEnrichment — RunDynamicEnrichment","text":"RunDynamicEnrichment","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDynamicEnrichment.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"RunDynamicEnrichment — RunDynamicEnrichment","text":"","code":"RunDynamicEnrichment(   srt,   lineages,   score_method = \"AUCell\",   ncore = 1,   slot = \"data\",   assay = NULL,   min_expcells = 20,   r.sq = 0.2,   dev.expl = 0.2,   padjust = 0.05,   IDtype = \"symbol\",   species = \"Homo_sapiens\",   db = \"GO_BP\",   db_update = FALSE,   db_version = \"latest\",   convert_species = TRUE,   Ensembl_version = 103,   mirror = NULL,   TERM2GENE = NULL,   TERM2NAME = NULL,   minGSSize = 10,   maxGSSize = 500,   BPPARAM = BiocParallel::bpparam(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDynamicEnrichment.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"RunDynamicEnrichment — RunDynamicEnrichment","text":"convert_species","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDynamicEnrichment.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"RunDynamicEnrichment — RunDynamicEnrichment","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\") #> Warning: Removed 8 rows containing missing values (`geom_path()`). #> Warning: Removed 8 rows containing missing values (`geom_path()`).  pancreas_sub <- RunDynamicFeatures(pancreas_sub, lineages = \"Lineage1\", n_candidates = 200) #> [2023-09-08 16:10:43.596005] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 199 #> Calculate dynamic features for Lineage1... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 16:10:58.666097] RunDynamicFeatures done #> Elapsed time:15.07 secs ht1 <- DynamicHeatmap(   srt = pancreas_sub,   lineages = \"Lineage1\",   cell_annotation = \"SubCellType\",   n_split = 4 ) #> 146 features from Lineage1 passed the threshold (exp_ncells>20 & r.sq>0.2 & dev.expl>0.2 & padjust<0.05):  #> Gcg,Iapp,Pyy,Chgb,Slc38a5,Rbp4,Lrpprc,Cck,2810417H13Rik,Chga... #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> The size of the heatmap will be fixed as some elements are not scalable. ht1$plot   pancreas_sub <- RunDynamicEnrichment(   srt = pancreas_sub,   lineages = \"Lineage1\",   score_method = \"AUCell\",   db = \"GO_BP\",   species = \"Mus_musculus\" ) #> [2023-09-08 16:11:02.302977] Start RunDynamicFeatures #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 15:30:55.528871 #> Data is raw counts. Perform NormalizeData(LogNormalize) on the data ... #> Number of feature lists to be scored: 2738 #> [2023-09-08 16:11:09.386844] Start CellScoring #> Workers: 1 #> Warning: Feature names cannot have underscores ('_'), replacing with dashes ('-') #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from go_bp_ to gobp_ #> [2023-09-08 16:14:07.64345] CellScoring done #> Elapsed time:2.97 mins #> [2023-09-08 16:14:07.646186] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 2738 #> Calculate dynamic features for Lineage1... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 16:14:54.058053] RunDynamicFeatures done #> Elapsed time:46.41 secs #> [2023-09-08 16:14:54.0589] RunDynamicEnrichment done #> Elapsed time:3.86 mins ht2 <- DynamicHeatmap(   srt = pancreas_sub,   assay = \"GO_BP\",   lineages = \"Lineage1_GO_BP\",   cell_annotation = \"SubCellType\",   n_split = 4,   split_method = \"kmeans-peaktime\" ) #> 1856 features from Lineage1_GO_BP passed the threshold (exp_ncells>20 & r.sq>0.2 & dev.expl>0.2 & padjust<0.05):  #> GO-BP-2..deoxyribonucleotide.biosynthetic.process,GO-BP-2..deoxyribonucleotide.metabolic.process,GO-BP-ADP.metabolic.process,GO-BP-ATP.biosynthetic.process,GO-BP-ATP.metabolic.process,GO-BP-B.cell.activation,GO-BP-B.cell.apoptotic.process,GO-BP-B.cell.proliferation,GO-BP-CD4.positive..alpha.beta.T.cell.activation,GO-BP-DNA.conformation.change... #> Warning: The values in the 'counts' slot are non-integer. Set the library size to 1. #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> The size of the heatmap will be fixed as some elements are not scalable. ht2$plot"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDynamicFeatures.html","id":null,"dir":"Reference","previous_headings":"","what":"RunDynamicFeatures — RunDynamicFeatures","title":"RunDynamicFeatures — RunDynamicFeatures","text":"RunDynamicFeatures","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDynamicFeatures.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"RunDynamicFeatures — RunDynamicFeatures","text":"","code":"RunDynamicFeatures(   srt,   lineages,   features = NULL,   suffix = lineages,   n_candidates = 1000,   minfreq = 5,   family = NULL,   slot = \"counts\",   assay = NULL,   libsize = NULL,   BPPARAM = BiocParallel::bpparam(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDynamicFeatures.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"RunDynamicFeatures — RunDynamicFeatures","text":"seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunDynamicFeatures.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"RunDynamicFeatures — RunDynamicFeatures","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\") #> Warning: Removed 8 rows containing missing values (`geom_path()`). #> Warning: Removed 8 rows containing missing values (`geom_path()`).  pancreas_sub <- RunDynamicFeatures(pancreas_sub, lineages = c(\"Lineage1\", \"Lineage2\"), n_candidates = 200) #> [2023-09-08 16:15:33.430831] Start RunDynamicFeatures #> Workers: 1 #> Number of candidate features(union): 225 #> Calculate dynamic features for Lineage1... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> Calculate dynamic features for Lineage2... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 16:16:07.784473] RunDynamicFeatures done #> Elapsed time:34.35 secs names(pancreas_sub@tools$DynamicFeatures_Lineage1) #> [1] \"DynamicFeatures\" \"raw_matrix\"      \"fitted_matrix\"   \"upr_matrix\"      \"lwr_matrix\"      \"libsize\"         #> [7] \"lineages\"        \"family\"          head(pancreas_sub@tools$DynamicFeatures_Lineage1$DynamicFeatures) #>      features exp_ncells      r.sq  dev.expl peaktime valleytime pvalue padjust #> Gcg       Gcg        187 0.4655182 0.8691204 30.15024 24.1773998      0       0 #> Iapp     Iapp        334 0.4034078 0.7935303 30.15024  0.2290427      0       0 #> Pyy       Pyy        478 0.4559669 0.7388797 27.49398 15.9875637      0       0 #> Ppy       Ppy         88 0.1095566 0.6091776 30.15024  9.5549970      0       0 #> Gast     Gast        111 0.0591293 0.6073730 29.50531 10.7006670      0       0 #> Chgb     Chgb        346 0.4033797 0.7620188 23.04485 11.4825349      0       0 ht <- DynamicHeatmap(   srt = pancreas_sub,   lineages = c(\"Lineage1\", \"Lineage2\"),   cell_annotation = \"SubCellType\",   n_split = 6, reverse_ht = \"Lineage1\" ) #> 169 features from Lineage1,Lineage2 passed the threshold (exp_ncells>20 & r.sq>0.2 & dev.expl>0.2 & padjust<0.05):  #> Gcg,Iapp,Pyy,Chgb,Slc38a5,Rbp4,Lrpprc,Cck,2810417H13Rik,Chga... #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> The size of the heatmap will be fixed as some elements are not scalable. ht$plot   DynamicPlot(   srt = pancreas_sub,   lineages = c(\"Lineage1\", \"Lineage2\"),   features = c(\"Nnat\", \"Irx1\"),   group.by = \"SubCellType\",   compare_lineages = TRUE,   compare_features = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunEnrichment.html","id":null,"dir":"Reference","previous_headings":"","what":"Perform the enrichment analysis(over-representation) on the genes — RunEnrichment","title":"Perform the enrichment analysis(over-representation) on the genes — RunEnrichment","text":"Perform enrichment analysis(-representation) genes","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunEnrichment.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Perform the enrichment analysis(over-representation) on the genes — RunEnrichment","text":"","code":"RunEnrichment(   srt = NULL,   group_by = NULL,   test.use = \"wilcox\",   DE_threshold = \"avg_log2FC > 0 & p_val_adj < 0.05\",   geneID = NULL,   geneID_groups = NULL,   geneID_exclude = NULL,   IDtype = \"symbol\",   result_IDtype = \"symbol\",   species = \"Homo_sapiens\",   db = \"GO_BP\",   db_update = FALSE,   db_version = \"latest\",   db_combine = FALSE,   convert_species = TRUE,   Ensembl_version = 103,   mirror = NULL,   TERM2GENE = NULL,   TERM2NAME = NULL,   minGSSize = 10,   maxGSSize = 500,   unlimited_db = c(\"Chromosome\", \"GeneType\", \"TF\", \"Enzyme\", \"CSPA\"),   GO_simplify = FALSE,   GO_simplify_cutoff = \"p.adjust < 0.05\",   simplify_method = \"Wang\",   simplify_similarityCutoff = 0.7,   BPPARAM = BiocParallel::bpparam(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunEnrichment.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Perform the enrichment analysis(over-representation) on the genes — RunEnrichment","text":"geneID geneID geneID_groups geneID_groups IDtype IDtype result_IDtype result_IDtype species species db enrichment database db_update db_update convert_species  TERM2GENE TERM2GENE TERM2NAME TERM2NAME minGSSize minGSSize maxGSSize maxGSSize GO_simplify GO_simplify simplify_method simplify_method simplify_similarityCutoff simplify_similarityCutoff GO_simplify_padjustCutoff GO_simplify_padjustCutoff universe universe","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunEnrichment.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Perform the enrichment analysis(over-representation) on the genes — RunEnrichment","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunDEtest(pancreas_sub, group_by = \"CellType\") #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. #> [2023-09-08 16:16:21.452923] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 5 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 16:16:25.325272] DEtest done #> Elapsed time:3.87 secs pancreas_sub <- RunEnrichment(   srt = pancreas_sub, group_by = \"CellType\", DE_threshold = \"p_val_adj < 0.05\",   db = \"GO_BP\", species = \"Mus_musculus\" ) #> [2023-09-08 16:16:25.328582] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 15:30:55.528871 #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 16:17:25.725114] Enrichment done #> Elapsed time:1.01 mins EnrichmentPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", plot_type = \"comparison\") #> Warning: Vectorized input to `element_text()` is not officially supported. #> ℹ Results may be unexpected or may change in future versions of ggplot2.   pancreas_sub <- RunEnrichment(   srt = pancreas_sub, group_by = \"CellType\", DE_threshold = \"p_val_adj < 0.05\",   db = c(\"MSigDB\", \"MSigDB_MH\"), species = \"Mus_musculus\" ) #> [2023-09-08 16:17:26.03741] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Preparing database: MSigDB #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 16:19:42.151135] Enrichment done #> Elapsed time:2.27 mins EnrichmentPlot(pancreas_sub, db = \"MSigDB\", group_by = \"CellType\", plot_type = \"comparison\") #> Warning: Vectorized input to `element_text()` is not officially supported. #> ℹ Results may be unexpected or may change in future versions of ggplot2.  EnrichmentPlot(pancreas_sub, db = \"MSigDB_MH\", group_by = \"CellType\", plot_type = \"comparison\") #> Warning: Vectorized input to `element_text()` is not officially supported. #> ℹ Results may be unexpected or may change in future versions of ggplot2.   # Remove redundant GO terms pancreas_sub <- RunEnrichment(srt = pancreas_sub, group_by = \"CellType\", db = \"GO_BP\", GO_simplify = TRUE, species = \"Mus_musculus\") #> [2023-09-08 16:19:42.920584] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 15:30:55.528871 #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 16:21:46.49949] Enrichment done #> Elapsed time:2.06 mins EnrichmentPlot(pancreas_sub, db = \"GO_BP_sim\", group_by = \"CellType\", plot_type = \"comparison\") #> Warning: Vectorized input to `element_text()` is not officially supported. #> ℹ Results may be unexpected or may change in future versions of ggplot2.   # Use a combined database pancreas_sub <- RunEnrichment(   srt = pancreas_sub, group_by = \"CellType\",   db = c(\"KEGG\", \"WikiPathway\", \"Reactome\", \"PFAM\", \"MP\"),   db_combine = TRUE,   species = \"Mus_musculus\" ) #> [2023-09-08 16:21:46.837909] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: MP version:2023-09-04 08:03 nterm:10294 created:2023-09-08 15:36:02.719487 #> Install package: \"PFAM.db\" ... #> 'getOption(\"repos\")' replaces Bioconductor standard repositories, see 'help(\"repositories\", package = \"BiocManager\")' #> for details. #> Replacement repositories: #>     CRAN: https://cloud.r-project.org #> Bioconductor version 3.17 (BiocManager 1.30.22), R 4.3.1 (2023-06-16) #> Installing package(s) 'PFAM.db' #>  #> Install package: \"reactome.db\" ... #> 'getOption(\"repos\")' replaces Bioconductor standard repositories, see 'help(\"repositories\", package = \"BiocManager\")' #> for details. #> Replacement repositories: #>     CRAN: https://cloud.r-project.org #> Bioconductor version 3.17 (BiocManager 1.30.22), R 4.3.1 (2023-06-16) #> Installing package(s) 'reactome.db' #> Preparing database: KEGG #> Preparing database: WikiPathway #> Preparing database: Reactome #> Preparing database: PFAM #> Convert ID types for the database: KEGG #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 9248 genes mapped with entrez_id #> ============================== #> 9248 genes mapped #> 86 genes unmapped #> ============================== #> Convert ID types for the database: WikiPathway #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 4560 genes mapped with entrez_id #> ============================== #> 4560 genes mapped #> 0 genes unmapped #> ============================== #> Convert ID types for the database: Reactome #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 8562 genes mapped with entrez_id #> ============================== #> 8562 genes mapped #> 6 genes unmapped #> ============================== #> Convert ID types for the database: PFAM #> Connect to the Ensembl archives... #> Using the 103 version of biomart... #> Connecting to the biomart... #> Searching the dataset mmusculus ... #> Connecting to the dataset mmusculus_gene_ensembl ... #> Converting the geneIDs... #> 19463 genes mapped with entrez_id #> ============================== #> 19463 genes mapped #> 73 genes unmapped #> ============================== #> Create 'Combined' database ... #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 16:26:17.425942] Enrichment done #> Elapsed time:4.51 mins EnrichmentPlot(pancreas_sub, db = \"Combined\", group_by = \"CellType\", plot_type = \"comparison\") #> Warning: Vectorized input to `element_text()` is not officially supported. #> ℹ Results may be unexpected or may change in future versions of ggplot2.   # Or use \"geneID\" and \"geneID_groups\" as input to run enrichment de_df <- dplyr::filter(pancreas_sub@tools$DEtest_CellType$AllMarkers_wilcox, p_val_adj < 0.05) enrich_out <- RunEnrichment(geneID = de_df[[\"gene\"]], geneID_groups = de_df[[\"group1\"]], db = \"GO_BP\", species = \"Mus_musculus\") #> [2023-09-08 16:26:17.867518] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 15:30:55.528871 #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 16:27:24.150185] Enrichment done #> Elapsed time:1.1 mins EnrichmentPlot(res = enrich_out, db = \"GO_BP\", plot_type = \"comparison\") #> Warning: Vectorized input to `element_text()` is not officially supported. #> ℹ Results may be unexpected or may change in future versions of ggplot2."},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunFR.html","id":null,"dir":"Reference","previous_headings":"","what":"Create the force-directed layout developed by Fruchterman and Reingold. — RunFR","title":"Create the force-directed layout developed by Fruchterman and Reingold. — RunFR","text":"Create force-directed layout developed Fruchterman Reingold.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunFR.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create the force-directed layout developed by Fruchterman and Reingold. — RunFR","text":"","code":"RunFR(object, ...)  # S3 method for Seurat RunFR(   object,   reduction = NULL,   dims = NULL,   features = NULL,   assay = DefaultAssay(object = object),   slot = \"data\",   graph = NULL,   neighbor = NULL,   k.param = 20,   ndim = 2,   niter = 500,   seed.use = 42L,   verbose = TRUE,   reduction.name = \"FR\",   reduction.key = \"FR_\",   ... )  # S3 method for default RunFR(   object,   ndim = 2,   niter = 500,   reduction.key = \"FR_\",   verbose = TRUE,   seed.use = 11L,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunFR.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create the force-directed layout developed by Fruchterman and Reingold. — RunFR","text":"object  ...  n_components","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunGLMPCA.html","id":null,"dir":"Reference","previous_headings":"","what":"Run GLMPCA — RunGLMPCA","title":"Run GLMPCA — RunGLMPCA","text":"Run GLMPCA","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunGLMPCA.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run GLMPCA — RunGLMPCA","text":"","code":"RunGLMPCA(object, ...)  # S3 method for Seurat RunGLMPCA(   object,   L = 5,   fam = c(\"poi\", \"nb\", \"nb2\", \"binom\", \"mult\", \"bern\"),   assay = NULL,   slot = \"counts\",   features = NULL,   reduction.name = \"glmpca\",   reduction.key = \"GLMPC_\",   verbose = TRUE,   ... )  # S3 method for Assay RunGLMPCA(   object,   L = 5,   fam = c(\"poi\", \"nb\", \"nb2\", \"binom\", \"mult\", \"bern\"),   assay = NULL,   slot = \"counts\",   features = NULL,   reduction.name = \"glmpca\",   reduction.key = \"GLMPC_\",   verbose = TRUE,   ... )  # S3 method for default RunGLMPCA(   object,   L = 5,   fam = c(\"poi\", \"nb\", \"nb2\", \"binom\", \"mult\", \"bern\"),   assay = NULL,   slot = \"counts\",   features = NULL,   reduction.key = \"GLMPC_\",   verbose = TRUE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunGLMPCA.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run GLMPCA — RunGLMPCA","text":"object Seurat object ...  L number dimensions return (defaults 5) assay Assay use, defaults default assay features list features use performing GLM-PCA. null, defaults variable features. reduction.name Name store resulting DimReduc object . Defaults glmpca reduction.key Key resulting DimReduc. Defaults GLMPC_","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunGLMPCA.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run GLMPCA — RunGLMPCA","text":"Seurat object containing output GLMPCA stored DimReduc object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunGSEA.html","id":null,"dir":"Reference","previous_headings":"","what":"Perform the enrichment analysis(GSEA) on the genes — RunGSEA","title":"Perform the enrichment analysis(GSEA) on the genes — RunGSEA","text":"Perform enrichment analysis(GSEA) genes","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunGSEA.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Perform the enrichment analysis(GSEA) on the genes — RunGSEA","text":"","code":"RunGSEA(   srt = NULL,   group_by = NULL,   test.use = \"wilcox\",   DE_threshold = \"p_val_adj < 0.05\",   scoreType = \"std\",   geneID = NULL,   geneScore = NULL,   geneID_groups = NULL,   geneID_exclude = NULL,   IDtype = \"symbol\",   result_IDtype = \"symbol\",   species = \"Homo_sapiens\",   db = \"GO_BP\",   db_update = FALSE,   db_version = \"latest\",   db_combine = FALSE,   convert_species = TRUE,   Ensembl_version = 103,   mirror = NULL,   TERM2GENE = NULL,   TERM2NAME = NULL,   minGSSize = 10,   maxGSSize = 500,   unlimited_db = c(\"Chromosome\", \"GeneType\", \"TF\", \"Enzyme\", \"CSPA\"),   GO_simplify = FALSE,   GO_simplify_cutoff = \"p.adjust < 0.05\",   simplify_method = \"Wang\",   simplify_similarityCutoff = 0.7,   BPPARAM = BiocParallel::bpparam(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunGSEA.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Perform the enrichment analysis(GSEA) on the genes — RunGSEA","text":"geneID geneID geneID_groups geneID_groups IDtype IDtype result_IDtype result_IDtype species species db enrichment database db_update db_update convert_species  TERM2GENE TERM2GENE TERM2NAME TERM2NAME minGSSize minGSSize maxGSSize maxGSSize GO_simplify GO_simplify simplify_method simplify_method simplify_similarityCutoff simplify_similarityCutoff GO_simplify_padjustCutoff GO_simplify_padjustCutoff","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunGSEA.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Perform the enrichment analysis(GSEA) on the genes — RunGSEA","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunDEtest(pancreas_sub, group_by = \"CellType\", only.pos = FALSE, fc.threshold = 1) #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. #> [2023-09-08 16:27:30.481149] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 5 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 16:34:15.967379] DEtest done #> Elapsed time:6.76 mins pancreas_sub <- RunGSEA(pancreas_sub,   group_by = \"CellType\", DE_threshold = \"p_val_adj < 0.05\",   scoreType = \"std\", db = \"GO_BP\", species = \"Mus_musculus\" ) #> [2023-09-08 16:34:15.970888] Start GSEA #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 15:30:55.528871 #> Permform GSEA... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 16:40:51.303443] GSEA done #> Elapsed time:6.59 mins GSEAPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", plot_type = \"comparison\")  GSEAPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Ductal\", id_use = \"GO:0006412\")  GSEAPlot(pancreas_sub, db = \"GO_BP\", group_by = \"CellType\", group_use = \"Endocrine\", id_use = c(\"GO:0046903\", \"GO:0015031\", \"GO:0007600\"))   # Remove redundant GO terms pancreas_sub <- RunGSEA(srt = pancreas_sub, group_by = \"CellType\", db = \"GO_BP\", GO_simplify = TRUE, species = \"Mus_musculus\") #> [2023-09-08 16:40:53.475685] Start GSEA #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 15:30:55.528871 #> Permform GSEA... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 16:48:11.116546] GSEA done #> Elapsed time:7.29 mins GSEAPlot(pancreas_sub, db = \"GO_BP_sim\", group_by = \"CellType\", plot_type = \"comparison\")   # Use a combined database pancreas_sub <- RunGSEA(   srt = pancreas_sub, group_by = \"CellType\",   db = c(\"KEGG\", \"WikiPathway\", \"Reactome\", \"PFAM\", \"MP\"),   db_combine = TRUE,   species = \"Mus_musculus\" ) #> [2023-09-08 16:48:11.514262] Start GSEA #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: KEGG version:Release 107.0+/09-08, Sep 23 nterm:351 created:2023-09-08 16:24:54.778765 #> Loading cached db: WikiPathway version:20230810 nterm:200 created:2023-09-08 16:25:04.218829 #> Loading cached db: Reactome version:1.84.0 nterm:1715 created:2023-09-08 16:25:20.498028 #> Loading cached db: PFAM version:3.17.0 nterm:6565 created:2023-09-08 16:25:49.917661 #> Loading cached db: MP version:2023-09-04 08:03 nterm:10294 created:2023-09-08 15:36:02.719487 #> Create 'Combined' database ... #> Permform GSEA... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 16:50:29.901259] GSEA done #> Elapsed time:2.31 mins GSEAPlot(pancreas_sub, db = \"Combined\", group_by = \"CellType\", plot_type = \"comparison\")   # Or use \"geneID\", \"geneScore\" and \"geneID_groups\" as input to run GSEA de_df <- dplyr::filter(pancreas_sub@tools$DEtest_CellType$AllMarkers_wilcox, p_val_adj < 0.05) gsea_out <- RunGSEA(geneID = de_df[[\"gene\"]], geneScore = de_df[[\"avg_log2FC\"]], geneID_groups = de_df[[\"group1\"]], db = \"GO_BP\", species = \"Mus_musculus\") #> [2023-09-08 16:50:30.280804] Start GSEA #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 15:30:55.528871 #> Permform GSEA... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 16:57:12.112682] GSEA done #> Elapsed time:6.7 mins GSEAPlot(res = gsea_out, db = \"GO_BP\", plot_type = \"comparison\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunHarmony2.html","id":null,"dir":"Reference","previous_headings":"","what":"Harmony single cell integration — RunHarmony2","title":"Harmony single cell integration — RunHarmony2","text":"Run Harmony algorithm Seurat pipelines.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunHarmony2.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Harmony single cell integration — RunHarmony2","text":"","code":"RunHarmony2(object, ...)  # S3 method for Seurat RunHarmony2(   object,   group.by.vars,   reduction = \"pca\",   dims.use = NULL,   theta = NULL,   lambda = NULL,   sigma = 0.1,   nclust = NULL,   tau = 0,   block.size = 0.05,   max.iter.harmony = 10,   max.iter.cluster = 20,   epsilon.cluster = 1e-05,   epsilon.harmony = 1e-04,   plot_convergence = FALSE,   verbose = TRUE,   reference_values = NULL,   reduction.save = \"Harmony\",   assay.use = \"RNA\",   project.dim = TRUE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunHarmony2.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Harmony single cell integration — RunHarmony2","text":"object  ...","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunKNNMap.html","id":null,"dir":"Reference","previous_headings":"","what":"Single-cell reference mapping with KNN method — RunKNNMap","title":"Single-cell reference mapping with KNN method — RunKNNMap","text":"Single-cell reference mapping KNN method","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunKNNMap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Single-cell reference mapping with KNN method — RunKNNMap","text":"","code":"RunKNNMap(   srt_query,   srt_ref,   query_assay = NULL,   ref_assay = NULL,   ref_umap = NULL,   ref_group = NULL,   features = NULL,   nfeatures = 2000,   query_reduction = NULL,   ref_reduction = NULL,   query_dims = 1:30,   ref_dims = 1:30,   projection_method = c(\"model\", \"knn\"),   nn_method = NULL,   k = 30,   distance_metric = \"cosine\",   vote_fun = \"mean\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunKNNMap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Single-cell reference mapping with KNN method — RunKNNMap","text":"ref_assay","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunKNNMap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Single-cell reference mapping with KNN method — RunKNNMap","text":"","code":"data(\"panc8_sub\") srt_ref <- panc8_sub[, panc8_sub$tech != \"fluidigmc1\"] srt_query <- panc8_sub[, panc8_sub$tech == \"fluidigmc1\"] srt_ref <- Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"Seurat\") #> [2023-09-08 16:57:17.281048] Start Seurat_integrate #> Error in Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"Seurat\"): object 'srt_ref' not found CellDimPlot(srt_ref, group.by = c(\"celltype\", \"tech\")) #> Error in DefaultReduction(srt): Unable to find any reductions.  # Projection srt_query <- RunKNNMap(srt_query = srt_query, srt_ref = srt_ref, ref_umap = \"SeuratUMAP2D\") #> Error: Cannot find 'SeuratUMAP2D' in this Seurat object ProjectionPlot(srt_query = srt_query, srt_ref = srt_ref, query_group = \"celltype\", ref_group = \"celltype\") #> Error: Cannot find 'ref.embeddings' in this Seurat object"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunKNNPredict.html","id":null,"dir":"Reference","previous_headings":"","what":"Annotate single cells using similarity. — RunKNNPredict","title":"Annotate single cells using similarity. — RunKNNPredict","text":"Annotate single cells using similarity.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunKNNPredict.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Annotate single cells using similarity. — RunKNNPredict","text":"","code":"RunKNNPredict(   srt_query,   srt_ref = NULL,   bulk_ref = NULL,   query_group = NULL,   ref_group = NULL,   query_assay = NULL,   ref_assay = NULL,   query_reduction = NULL,   ref_reduction = NULL,   query_dims = 1:30,   ref_dims = 1:30,   query_collapsing = !is.null(query_group),   ref_collapsing = TRUE,   return_full_distance_matrix = FALSE,   features = NULL,   features_type = c(\"HVF\", \"DE\"),   feature_source = \"both\",   nfeatures = 2000,   DEtest_param = list(max.cells.per.ident = 200, test.use = \"wilcox\"),   DE_threshold = \"p_val_adj < 0.05\",   nn_method = NULL,   distance_metric = \"cosine\",   k = 30,   filter_lowfreq = 0,   prefix = \"KNNPredict\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunKNNPredict.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Annotate single cells using similarity. — RunKNNPredict","text":"srt_query seurat object. bulk_ref cell atlas matrix, e.g., SCP::ref_scHCL query_assay assay used srt_query DE_threshold Threshold used filter DE features. Default \"p_val < 0.05\". using \"roc\" test, DE_threshold needs reassigned. e.g. \"power > 0.5\" k Number predictions return. prefix","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunKNNPredict.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Annotate single cells using similarity. — RunKNNPredict","text":"","code":"# Annotate cells using bulk RNA-seq data data(\"pancreas_sub\") data(\"ref_scMCA\") pancreas_sub <- Standard_SCP(pancreas_sub) #> [2023-09-08 16:57:19.228341] Start Standard_SCP #> [2023-09-08 16:57:19.228637] Checking srtList... ... #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-08 16:57:20.625969] Finished checking. #> [2023-09-08 16:57:20.626299] Perform ScaleData on the data... #> [2023-09-08 16:57:20.807471] Perform linear dimension reduction (pca) on the data... #> [2023-09-08 16:57:21.786276] Perform FindClusters (louvain) on the data... #> [2023-09-08 16:57:21.926812] Reorder clusters... #> [2023-09-08 16:57:22.225544] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-08 16:57:33.881285] Standard_SCP done #> Elapsed time: 14.65 secs  pancreas_sub <- RunKNNPredict(srt_query = pancreas_sub, bulk_ref = ref_scMCA) #> Use 535 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... CellDimPlot(pancreas_sub, group.by = \"KNNPredict_classification\", label = TRUE)   # Removal of low credible cell types from the predicted results pancreas_sub <- RunKNNPredict(srt_query = pancreas_sub, bulk_ref = ref_scMCA, filter_lowfreq = 30) #> Use 535 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... CellDimPlot(pancreas_sub, group.by = \"KNNPredict_classification\", label = TRUE)   # Annotate clusters using bulk RNA-seq data pancreas_sub <- RunKNNPredict(srt_query = pancreas_sub, query_group = \"SubCellType\", bulk_ref = ref_scMCA) #> Use 535 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... CellDimPlot(pancreas_sub, group.by = \"KNNPredict_classification\", label = TRUE)   # Annotate using single cell RNA-seq data data(\"panc8_sub\") # Simply convert genes from human to mouse and preprocess the data genenames <- make.unique(capitalize(rownames(panc8_sub), force_tolower = TRUE)) panc8_sub <- RenameFeatures(panc8_sub, newnames = genenames) #> Rename features for the assay: RNA panc8_sub <- check_srtMerge(panc8_sub, batch = \"tech\")[[\"srtMerge\"]] #> [2023-09-08 16:57:39.216217] Spliting srtMerge into srtList by column tech... ... #> [2023-09-08 16:57:40.12257] Checking srtList... ... #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/5 of the srtList... #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 2/5 of the srtList... #> Data 3/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 3/5 of the srtList... #> Data 4/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 4/5 of the srtList... #> Data 5/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 5/5 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-08 16:57:43.53514] Finished checking.  pancreas_sub <- RunKNNPredict(srt_query = pancreas_sub, srt_ref = panc8_sub, ref_group = \"celltype\") #> Use the HVF to calculate distance metric. #> Use 631 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... CellDimPlot(pancreas_sub, group.by = \"KNNPredict_classification\", label = TRUE)  FeatureDimPlot(pancreas_sub, features = \"KNNPredict_simil\")   pancreas_sub <- RunKNNPredict(   srt_query = pancreas_sub, srt_ref = panc8_sub,   ref_group = \"celltype\", ref_collapsing = FALSE ) #> Use the HVF to calculate distance metric. #> Use 631 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... CellDimPlot(pancreas_sub, group.by = \"KNNPredict_classification\", label = TRUE)  FeatureDimPlot(pancreas_sub, features = \"KNNPredict_prob\")   pancreas_sub <- RunKNNPredict(   srt_query = pancreas_sub, srt_ref = panc8_sub,   query_group = \"SubCellType\", ref_group = \"celltype\" ) #> Use the HVF to calculate distance metric. #> Use 631 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... CellDimPlot(pancreas_sub, group.by = \"KNNPredict_classification\", label = TRUE)  FeatureDimPlot(pancreas_sub, features = \"KNNPredict_simil\")   # Annotate with DE gene instead of HVF pancreas_sub <- RunKNNPredict(   srt_query = pancreas_sub, srt_ref = panc8_sub,   ref_group = \"celltype\",   features_type = \"DE\", feature_source = \"ref\" ) #> [2023-09-08 16:57:48.029079] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 13 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 16:57:59.055708] DEtest done #> Elapsed time:11.03 secs #> Use the DE features from AllMarkers_wilcox to calculate distance metric. #> DE features number of the ref data: 2000 #> Use 1865 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... CellDimPlot(pancreas_sub, group.by = \"KNNPredict_classification\", label = TRUE)  FeatureDimPlot(pancreas_sub, features = \"KNNPredict_simil\")   pancreas_sub <- RunKNNPredict(   srt_query = pancreas_sub, srt_ref = panc8_sub,   query_group = \"SubCellType\", ref_group = \"celltype\",   features_type = \"DE\", feature_source = \"both\" ) #> [2023-09-08 16:58:00.093378] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 8 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 16:58:02.967017] DEtest done #> Elapsed time:2.87 secs #> Use the DE features from AllMarkers_wilcox to calculate distance metric. #> DE features number of the query data: 956 #> [2023-09-08 16:58:03.188753] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 13 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 16:58:13.594922] DEtest done #> Elapsed time:10.41 secs #> Use the DE features from AllMarkers_wilcox to calculate distance metric. #> DE features number of the ref data: 252 #> Use 67 features to calculate distance. #> Detected query data type: log_normalized_counts #> Detected reference data type: log_normalized_counts #> Calculate similarity... #> Use 'raw' method to find neighbors. #> Predict cell type... CellDimPlot(pancreas_sub, group.by = \"KNNPredict_classification\", label = TRUE)  FeatureDimPlot(pancreas_sub, features = \"KNNPredict_simil\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunLargeVis.html","id":null,"dir":"Reference","previous_headings":"","what":"Run LargeVis — RunLargeVis","title":"Run LargeVis — RunLargeVis","text":"Run LargeVis","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunLargeVis.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run LargeVis — RunLargeVis","text":"","code":"RunLargeVis(object, ...)  # S3 method for Seurat RunLargeVis(   object,   reduction = \"pca\",   dims = NULL,   features = NULL,   assay = DefaultAssay(object = object),   slot = \"data\",   perplexity = 50,   n_neighbors = perplexity * 3,   n_components = 2,   metric = \"euclidean\",   n_epochs = -1,   learning_rate = 1,   scale = \"maxabs\",   init = \"lvrandom\",   init_sdev = NULL,   repulsion_strength = 7,   negative_sample_rate = 5,   nn_method = NULL,   n_trees = 50,   search_k = 2 * n_neighbors * n_trees,   n_threads = NULL,   n_sgd_threads = 0,   grain_size = 1,   kernel = \"gauss\",   pca = NULL,   pca_center = TRUE,   pcg_rand = TRUE,   fast_sgd = FALSE,   batch = FALSE,   opt_args = NULL,   epoch_callback = NULL,   pca_method = NULL,   reduction.name = \"largevis\",   reduction.key = \"LargeVis_\",   verbose = TRUE,   seed.use = 11L,   ... )  # S3 method for default RunLargeVis(   object,   assay = NULL,   perplexity = 50,   n_neighbors = perplexity * 3,   n_components = 2,   metric = \"euclidean\",   n_epochs = -1,   learning_rate = 1,   scale = \"maxabs\",   init = \"lvrandom\",   init_sdev = NULL,   repulsion_strength = 7,   negative_sample_rate = 5,   nn_method = NULL,   n_trees = 50,   search_k = 2 * n_neighbors * n_trees,   n_threads = NULL,   n_sgd_threads = 0,   grain_size = 1,   kernel = \"gauss\",   pca = NULL,   pca_center = TRUE,   pcg_rand = TRUE,   fast_sgd = FALSE,   batch = FALSE,   opt_args = NULL,   epoch_callback = NULL,   pca_method = NULL,   reduction.key = \"LargeVis_\",   verbose = TRUE,   seed.use = 11L,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunLargeVis.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run LargeVis — RunLargeVis","text":"object  ...  n_components","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMDS.html","id":null,"dir":"Reference","previous_headings":"","what":"Run multi-dimensional scaling(MDS) — RunMDS","title":"Run multi-dimensional scaling(MDS) — RunMDS","text":"Run MDS dimensionality reduction.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMDS.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run multi-dimensional scaling(MDS) — RunMDS","text":"","code":"RunMDS(object, ...)  # S3 method for Seurat RunMDS(   object,   assay = NULL,   slot = \"data\",   features = NULL,   nmds = 50,   dist.method = \"euclidean\",   mds.method = \"cmdscale\",   rev.mds = FALSE,   ndims.print = 1:5,   nfeatures.print = 30,   reduction.name = \"mds\",   reduction.key = \"MDS_\",   verbose = TRUE,   seed.use = 42,   ... )  # S3 method for Assay RunMDS(   object,   assay = NULL,   slot = \"data\",   features = NULL,   nmds = 50,   dist.method = \"euclidean\",   mds.method = \"cmdscale\",   rev.mds = FALSE,   ndims.print = 1:5,   nfeatures.print = 30,   reduction.key = \"MDS_\",   verbose = TRUE,   seed.use = 42,   ... )  # S3 method for default RunMDS(   object,   assay = NULL,   slot = \"data\",   nmds = 50,   dist.method = \"euclidean\",   mds.method = \"cmdscale\",   rev.mds = FALSE,   ndims.print = 1:5,   nfeatures.print = 30,   reduction.key = \"MDS_\",   seed.use = 42,   verbose = TRUE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMDS.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run multi-dimensional scaling(MDS) — RunMDS","text":"object object ...  assay Name Assay mds run . slot Name slot mds run . features Features compute mds . features=NULL, mds run using variable features Assay. nmds Total Number MDS compute store (50 default). rev.mds default computes mds cell x gene matrix. Setting true compute gene x cell matrix. ndims.print MDS print genes . nfeatures.print Number genes print MDS. reduction.name dimensional reduction name, 'mds' default reduction.key dimensional reduction key, specifies string number dimension names. \"MDS_\" default. verbose Print top genes associated high/low loadings MDS. seed.use Set random seed. default, sets seed 42. Setting NULL set seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMDS.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run multi-dimensional scaling(MDS) — RunMDS","text":"Returns Seurat object MDS calculation stored reductions slot.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMonocle2.html","id":null,"dir":"Reference","previous_headings":"","what":"Run Monocle2 analysis — RunMonocle2","title":"Run Monocle2 analysis — RunMonocle2","text":"Run Monocle2 analysis","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMonocle2.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run Monocle2 analysis — RunMonocle2","text":"","code":"RunMonocle2(   srt,   annotation = NULL,   assay = NULL,   slot = \"counts\",   expressionFamily = \"negbinomial.size\",   features = NULL,   feature_type = \"HVF\",   disp_filter = \"mean_expression >= 0.1 & dispersion_empirical >= 1 * dispersion_fit\",   max_components = 2,   reduction_method = \"DDRTree\",   norm_method = \"log\",   residualModelFormulaStr = NULL,   pseudo_expr = 1,   root_state = NULL,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMonocle2.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run Monocle2 analysis — RunMonocle2","text":"seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMonocle2.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run Monocle2 analysis — RunMonocle2","text":"","code":"if (interactive()) {   data(\"pancreas_sub\")   pancreas_sub <- RunMonocle2(srt = pancreas_sub, annotation = \"CellType\")   names(pancreas_sub@tools$Monocle2)   trajectory <- pancreas_sub@tools$Monocle2$trajectory    p1 <- CellDimPlot(pancreas_sub, group.by = \"Monocle2_State\", reduction = \"DDRTree\", label = TRUE, theme_use = \"theme_blank\") + trajectory   p2 <- CellDimPlot(pancreas_sub, group.by = \"Monocle2_State\", reduction = \"UMAP\", label = TRUE, theme_use = \"theme_blank\")   p3 <- FeatureDimPlot(pancreas_sub, features = \"Monocle2_Pseudotime\", reduction = \"UMAP\", theme_use = \"theme_blank\")   print(p1 + p2 + p3)    pancreas_sub <- RunMonocle2(     srt = pancreas_sub, annotation = \"CellType\",     feature_type = \"Disp\", disp_filter = \"mean_expression >= 0.01 & dispersion_empirical >= 1 * dispersion_fit\"   )   trajectory <- pancreas_sub@tools$Monocle2$trajectory   p1 <- CellDimPlot(pancreas_sub, group.by = \"Monocle2_State\", reduction = \"DDRTree\", label = TRUE, theme_use = \"theme_blank\") + trajectory   p2 <- CellDimPlot(pancreas_sub, group.by = \"Monocle2_State\", reduction = \"UMAP\", label = TRUE, theme_use = \"theme_blank\")   p3 <- FeatureDimPlot(pancreas_sub, features = \"Monocle2_Pseudotime\", reduction = \"UMAP\", theme_use = \"theme_blank\")   print(p1 + p2 + p3) }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMonocle3.html","id":null,"dir":"Reference","previous_headings":"","what":"Run Monocle3 analysis — RunMonocle3","title":"Run Monocle3 analysis — RunMonocle3","text":"Run Monocle3 analysis","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMonocle3.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run Monocle3 analysis — RunMonocle3","text":"","code":"RunMonocle3(   srt,   annotation = NULL,   assay = NULL,   slot = \"counts\",   reduction = DefaultReduction(srt),   clusters = NULL,   graph = NULL,   partition_qval = 0.05,   k = 50,   cluster_method = \"louvain\",   num_iter = 2,   resolution = NULL,   use_partition = NULL,   close_loop = TRUE,   learn_graph_control = NULL,   root_pr_nodes = NULL,   root_cells = NULL,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMonocle3.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run Monocle3 analysis — RunMonocle3","text":"clusters","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunMonocle3.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run Monocle3 analysis — RunMonocle3","text":"","code":"if (interactive()) {   data(\"pancreas_sub\")   # Use Monocle clusters to infer the trajectories   pancreas_sub <- RunMonocle3(srt = pancreas_sub, annotation = \"CellType\", reduction = \"UMAP\")   names(pancreas_sub@tools$Monocle3)   trajectory <- pancreas_sub@tools$Monocle3$trajectory   milestones <- pancreas_sub@tools$Monocle3$milestones    p1 <- CellDimPlot(pancreas_sub, group.by = \"Monocle3_partitions\", reduction = \"UMAP\", label = TRUE, theme_use = \"theme_blank\") + trajectory + milestones   p2 <- CellDimPlot(pancreas_sub, group.by = \"Monocle3_clusters\", reduction = \"UMAP\", label = TRUE, theme_use = \"theme_blank\") + trajectory   p3 <- FeatureDimPlot(pancreas_sub, features = \"Monocle3_Pseudotime\", reduction = \"UMAP\", theme_use = \"theme_blank\") + trajectory   print(p1 + p2 + p3)    # Select the lineage using monocle3::choose_graph_segments   cds <- pancreas_sub@tools$Monocle3$cds   cds_sub <- monocle3::choose_graph_segments(cds, starting_pr_node = NULL, ending_pr_nodes = NULL)   pancreas_sub$Lineages_1 <- NA   pancreas_sub$Lineages_1[colnames(cds_sub)] <- pancreas_sub$Monocle3_Pseudotime[colnames(cds_sub)]   CellDimPlot(pancreas_sub, group.by = \"SubCellType\", lineages = \"Lineages_1\", lineages_span = 0.1, theme_use = \"theme_blank\")    # Use Seurat clusters to infer the trajectories   pancreas_sub <- Standard_SCP(pancreas_sub)   CellDimPlot(pancreas_sub, group.by = c(\"Standardclusters\", \"CellType\"), label = TRUE, theme_use = \"theme_blank\")   pancreas_sub <- RunMonocle3(srt = pancreas_sub, annotation = \"CellType\", clusters = \"Standardclusters\")   trajectory <- pancreas_sub@tools$Monocle3$trajectory   p1 <- CellDimPlot(pancreas_sub, group.by = \"Monocle3_partitions\", reduction = \"StandardUMAP2D\", label = TRUE, theme_use = \"theme_blank\") + trajectory   p2 <- CellDimPlot(pancreas_sub, group.by = \"Monocle3_clusters\", reduction = \"StandardUMAP2D\", label = TRUE, theme_use = \"theme_blank\") + trajectory   p3 <- FeatureDimPlot(pancreas_sub, features = \"Monocle3_Pseudotime\", reduction = \"StandardUMAP2D\", theme_use = \"theme_blank\") + trajectory   print(p1 + p2 + p3)    # Use custom graphs and cell clusters to infer the partitions and trajectories, respectively   pancreas_sub <- Standard_SCP(pancreas_sub, cluster_resolution = 5)   CellDimPlot(pancreas_sub, group.by = c(\"Standardclusters\", \"CellType\"), label = TRUE)   pancreas_sub <- RunMonocle3(     srt = pancreas_sub, annotation = \"CellType\",     clusters = \"Standardclusters\", graph = \"Standardpca_SNN\"   )   trajectory <- pancreas_sub@tools$Monocle3$trajectory   p1 <- CellDimPlot(pancreas_sub, group.by = \"Monocle3_partitions\", reduction = \"StandardUMAP2D\", label = TRUE, theme_use = \"theme_blank\") + trajectory   p2 <- CellDimPlot(pancreas_sub, group.by = \"Monocle3_clusters\", reduction = \"StandardUMAP2D\", label = TRUE, theme_use = \"theme_blank\") + trajectory   p3 <- FeatureDimPlot(pancreas_sub, features = \"Monocle3_Pseudotime\", reduction = \"StandardUMAP2D\", theme_use = \"theme_blank\") + trajectory   print(p1 + p2 + p3) }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunNMF.html","id":null,"dir":"Reference","previous_headings":"","what":"Run Non-negative matrix factorization(NMF) — RunNMF","title":"Run Non-negative matrix factorization(NMF) — RunNMF","text":"Run NMF dimensionality reduction.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunNMF.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run Non-negative matrix factorization(NMF) — RunNMF","text":"","code":"RunNMF(object, ...)  # S3 method for Seurat RunNMF(   object,   assay = NULL,   slot = \"data\",   features = NULL,   nbes = 50,   nmf.method = \"RcppML\",   tol = 1e-05,   maxit = 100,   rev.nmf = FALSE,   ndims.print = 1:5,   nfeatures.print = 30,   reduction.name = \"nmf\",   reduction.key = \"BE_\",   verbose = TRUE,   seed.use = 42,   ... )  # S3 method for Assay RunNMF(   object,   assay = NULL,   slot = \"data\",   features = NULL,   nbes = 50,   nmf.method = \"RcppML\",   tol = 1e-05,   maxit = 100,   rev.nmf = FALSE,   ndims.print = 1:5,   nfeatures.print = 30,   reduction.key = \"BE_\",   verbose = TRUE,   seed.use = 42,   ... )  # S3 method for default RunNMF(   object,   assay = NULL,   slot = \"data\",   nbes = 50,   nmf.method = \"RcppML\",   tol = 1e-05,   maxit = 100,   rev.nmf = FALSE,   ndims.print = 1:5,   nfeatures.print = 30,   reduction.key = \"BE_\",   verbose = TRUE,   seed.use = 42,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunNMF.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run Non-negative matrix factorization(NMF) — RunNMF","text":"object object ...  assay Name Assay nmf run . slot Name slot nmf run . features Features compute nmf . features=NULL, nmf run using variable features Assay. nbes Total Number BEs(\"basis experiment\", aka \"metagene\") compute store (50 default). rev.nmf default computes nmf cell x gene matrix. Setting true compute gene x cell matrix. ndims.print BEs print genes . nfeatures.print Number genes print . reduction.name dimensional reduction name, 'nmf' default reduction.key dimensional reduction key, specifies string number dimension names. \"BE_\" default. verbose Print top genes associated high/low loadings BEs. seed.use Set random seed. default, sets seed 42. Setting NULL set seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunNMF.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run Non-negative matrix factorization(NMF) — RunNMF","text":"Returns Seurat object NMF calculation stored reductions slot.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPAGA.html","id":null,"dir":"Reference","previous_headings":"","what":"Run PAGA analysis — RunPAGA","title":"Run PAGA analysis — RunPAGA","text":"Run PAGA analysis","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPAGA.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run PAGA analysis — RunPAGA","text":"","code":"RunPAGA(   srt = NULL,   assay_X = \"RNA\",   slot_X = \"counts\",   assay_layers = c(\"spliced\", \"unspliced\"),   slot_layers = \"counts\",   adata = NULL,   group_by = NULL,   linear_reduction = NULL,   nonlinear_reduction = NULL,   basis = NULL,   n_pcs = 30,   n_neighbors = 30,   use_rna_velocity = FALSE,   vkey = \"stochastic\",   embedded_with_PAGA = FALSE,   paga_layout = \"fr\",   threshold = 0.1,   point_size = 20,   infer_pseudotime = FALSE,   root_group = NULL,   root_cell = NULL,   n_dcs = 10,   n_branchings = 0,   min_group_size = 0.01,   palette = \"Paired\",   palcolor = NULL,   show_plot = TRUE,   dpi = 300,   save = FALSE,   dirpath = \"./\",   fileprefix = \"\",   return_seurat = !is.null(srt) )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPAGA.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run PAGA analysis — RunPAGA","text":"srt Seurat object. adata anndata object. Can created srt_to_adata group_by group_by. linear_reduction linear_reduction. nonlinear_reduction nonlinear_reduction. basis basis. n_pcs n_pcs. n_neighbors n_neighbors. use_rna_velocity use_rna_velocity. vkey Key velocity. Default \"stochastic\". paga_layout Plotting layout computes positions. See See layout param scanpy.pl.paga function. threshold edge threshold. point_size point_size. dpi dpi. save save. dirpath dirpath. fileprefix fileprefix. return_seurat","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPAGA.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run PAGA analysis — RunPAGA","text":"anndata object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPAGA.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run PAGA analysis — RunPAGA","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunPAGA(srt = pancreas_sub, assay_X = \"RNA\", group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\") #> 'misc' slot is not converted. #> 'tools' slot is not converted. CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"draw_graph_fr\")  PAGAPlot(pancreas_sub, reduction = \"UMAP\")  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", paga = pancreas_sub@misc$paga)   pancreas_sub <- RunPAGA(   srt = pancreas_sub, group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\",   embedded_with_PAGA = TRUE, infer_pseudotime = TRUE, root_group = \"Ductal\" ) #> 'misc' slot is not converted. #> 'tools' slot is not converted. head(pancreas_sub[[]]) #>                     orig.ident nCount_RNA nFeature_RNA     S_score   G2M_score nCount_spliced nFeature_spliced #> CAGCCGAAGCGATATA SeuratProject      10653         3295  0.33188155  0.54532743          10653             3295 #> AGTGTCATCGCCGTGA SeuratProject       4596         2053 -0.07156909 -0.08865353           4596             2053 #> GATGAAAAGTTGTAGA SeuratProject      14091         3864  0.08940628  0.77610326          14091             3864 #> CACAGTACATCCGTGG SeuratProject       5484         2510 -0.25927997 -0.25941831           5484             2510 #> CGGAGCTCATTGGGCC SeuratProject       7357         2674 -0.11764368  0.46237856           7357             2674 #> AGAGCTTGTGTGACCC SeuratProject       6498         2516 -0.11406432 -0.17830831           6498             2516 #>                  nCount_unspliced nFeature_unspliced      CellType   SubCellType Phase dpt_pseudotime #> CAGCCGAAGCGATATA             1587               1063        Ductal        Ductal   G2M     0.08858810 #> AGTGTCATCGCCGTGA             1199                803 Pre-endocrine Pre-endocrine    G1     0.61145532 #> GATGAAAAGTTGTAGA             2166               1379   Ngn3 low EP   Ngn3 low EP   G2M     0.10923140 #> CACAGTACATCCGTGG             1339                859     Endocrine          Beta    G1     0.86335427 #> CGGAGCTCATTGGGCC              976                745        Ductal        Ductal   G2M     0.03584586 #> AGAGCTTGTGTGACCC              822                591        Ductal        Ductal    G1     0.03778159 names(pancreas_sub@reductions) #> [1] \"PCA\"           \"UMAP\"          \"draw_graph_fr\" \"PAGAUMAP2D\"    \"diffmap\"       FeatureDimPlot(pancreas_sub, features = \"dpt_pseudotime\", reduction = \"PAGAUMAP2D\")  PAGAPlot(pancreas_sub, reduction = \"PAGAUMAP2D\")  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"PAGAUMAP2D\", paga = pancreas_sub@misc$paga)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPCAMap.html","id":null,"dir":"Reference","previous_headings":"","what":"Single-cell reference mapping with PCA method — RunPCAMap","title":"Single-cell reference mapping with PCA method — RunPCAMap","text":"Single-cell reference mapping PCA method","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPCAMap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Single-cell reference mapping with PCA method — RunPCAMap","text":"","code":"RunPCAMap(   srt_query,   srt_ref,   query_assay = NULL,   ref_assay = srt_ref[[ref_pca]]@assay.used,   ref_pca = NULL,   ref_dims = 1:30,   ref_umap = NULL,   ref_group = NULL,   projection_method = c(\"model\", \"knn\"),   nn_method = NULL,   k = 30,   distance_metric = \"cosine\",   vote_fun = \"mean\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPCAMap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Single-cell reference mapping with PCA method — RunPCAMap","text":"ref_assay","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPCAMap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Single-cell reference mapping with PCA method — RunPCAMap","text":"","code":"data(\"panc8_sub\") srt_ref <- panc8_sub[, panc8_sub$tech != \"fluidigmc1\"] srt_query <- panc8_sub[, panc8_sub$tech == \"fluidigmc1\"] srt_ref <- Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"Seurat\") #> [2023-09-08 16:59:21.485943] Start Seurat_integrate #> Error in Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"Seurat\"): object 'srt_ref' not found CellDimPlot(srt_ref, group.by = c(\"celltype\", \"tech\")) #> Error in DefaultReduction(srt): Unable to find any reductions.  # Projection srt_query <- RunPCAMap(srt_query = srt_query, srt_ref = srt_ref, ref_pca = \"Seuratpca\", ref_umap = \"SeuratUMAP2D\") #> Error: Cannot find 'Seuratpca' in this Seurat object ProjectionPlot(srt_query = srt_query, srt_ref = srt_ref, query_group = \"celltype\", ref_group = \"celltype\") #> Error: Cannot find 'ref.embeddings' in this Seurat object"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPHATE.html","id":null,"dir":"Reference","previous_headings":"","what":"Run PHATE — RunPHATE","title":"Run PHATE — RunPHATE","text":"Run PHATE","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPHATE.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run PHATE — RunPHATE","text":"","code":"RunPHATE(object, ...)  # S3 method for Seurat RunPHATE(   object,   reduction = \"pca\",   dims = NULL,   features = NULL,   assay = DefaultAssay(object = object),   slot = \"data\",   n_components = 2,   knn = 5,   decay = 40,   n_landmark = 2000,   t = \"auto\",   gamma = 1,   n_pca = 100,   knn_dist = \"euclidean\",   knn_max = NULL,   n_jobs = 1,   mds = \"metric\",   mds_dist = \"euclidean\",   mds_solver = \"sgd\",   t_max = 100,   do_cluster = FALSE,   n_clusters = \"auto\",   max_clusters = 100,   reduction.name = \"phate\",   reduction.key = \"PHATE_\",   verbose = TRUE,   seed.use = 11L,   ... )  # S3 method for default RunPHATE(   object,   assay = NULL,   n_components = 2,   knn = 5,   decay = 40,   n_landmark = 2000,   t = \"auto\",   gamma = 1,   n_pca = 100,   knn_dist = \"euclidean\",   knn_max = NULL,   n_jobs = 1,   mds = \"metric\",   mds_dist = \"euclidean\",   mds_solver = \"sgd\",   t_max = 100,   do_cluster = FALSE,   n_clusters = \"auto\",   max_clusters = 100,   reduction.key = \"PHATE_\",   verbose = TRUE,   seed.use = 11L,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPHATE.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run PHATE — RunPHATE","text":"object  ...  max_clusters","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPaCMAP.html","id":null,"dir":"Reference","previous_headings":"","what":"Run PaCMAP — RunPaCMAP","title":"Run PaCMAP — RunPaCMAP","text":"Run PaCMAP","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPaCMAP.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run PaCMAP — RunPaCMAP","text":"","code":"RunPaCMAP(object, ...)  # S3 method for Seurat RunPaCMAP(   object,   reduction = \"pca\",   dims = NULL,   features = NULL,   assay = DefaultAssay(object = object),   slot = \"data\",   n_components = 2,   n.neighbors = NULL,   MN_ratio = 0.5,   FP_ratio = 2,   pair_neighbors = NULL,   pair_MN = NULL,   pair_FP = NULL,   distance_method = \"euclidean\",   lr = 1,   num_iters = 450L,   apply_pca = TRUE,   init = \"random\",   reduction.name = \"pacmap\",   reduction.key = \"PaCMAP_\",   verbose = TRUE,   seed.use = 11L,   ... )  # S3 method for default RunPaCMAP(   object,   assay = NULL,   n_components = 2,   n.neighbors = NULL,   MN_ratio = 0.5,   FP_ratio = 2,   pair_neighbors = NULL,   pair_MN = NULL,   pair_FP = NULL,   distance_method = \"euclidean\",   lr = 1,   num_iters = 450L,   apply_pca = TRUE,   init = \"random\",   reduction.key = \"PaCMAP_\",   verbose = TRUE,   seed.use = 11L,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPaCMAP.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run PaCMAP — RunPaCMAP","text":"object  ...  assay  n_components","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPalantir.html","id":null,"dir":"Reference","previous_headings":"","what":"Run Palantir analysis — RunPalantir","title":"Run Palantir analysis — RunPalantir","text":"Run Palantir analysis","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPalantir.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run Palantir analysis — RunPalantir","text":"","code":"RunPalantir(   srt = NULL,   assay_X = \"RNA\",   slot_X = \"counts\",   assay_layers = c(\"spliced\", \"unspliced\"),   slot_layers = \"counts\",   adata = NULL,   group_by = NULL,   linear_reduction = NULL,   nonlinear_reduction = NULL,   basis = NULL,   n_pcs = 30,   n_neighbors = 30,   dm_n_components = 10,   dm_alpha = 0,   dm_n_eigs = NULL,   early_group = NULL,   terminal_groups = NULL,   early_cell = NULL,   terminal_cells = NULL,   num_waypoints = 1200,   scale_components = TRUE,   use_early_cell_as_start = TRUE,   adjust_early_cell = FALSE,   adjust_terminal_cells = FALSE,   max_iterations = 25,   n_jobs = 8,   point_size = 20,   palette = \"Paired\",   palcolor = NULL,   show_plot = TRUE,   dpi = 300,   save = FALSE,   dirpath = \"./\",   fileprefix = \"\",   return_seurat = !is.null(srt) )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPalantir.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run Palantir analysis — RunPalantir","text":"srt Seurat object. adata anndata object. Can created srt_to_adata group_by group_by. linear_reduction linear_reduction. nonlinear_reduction nonlinear_reduction. basis basis. n_pcs n_pcs. n_neighbors n_neighbors. n_jobs n_jobs. point_size point_size. dpi dpi. save save. dirpath dirpath. fileprefix fileprefix. return_seurat","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPalantir.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run Palantir analysis — RunPalantir","text":"anndata object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunPalantir.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run Palantir analysis — RunPalantir","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunPalantir(   srt = pancreas_sub, group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\",   early_group = \"Ductal\", use_early_cell_as_start = TRUE,   terminal_groups = c(\"Alpha\", \"Beta\", \"Delta\", \"Epsilon\") ) #> 'misc' slot is not converted. #> 'tools' slot is not converted. head(pancreas_sub[[]]) #>                     orig.ident nCount_RNA nFeature_RNA     S_score   G2M_score nCount_spliced nFeature_spliced #> CAGCCGAAGCGATATA SeuratProject      10653         3295  0.33188155  0.54532743          10653             3295 #> AGTGTCATCGCCGTGA SeuratProject       4596         2053 -0.07156909 -0.08865353           4596             2053 #> GATGAAAAGTTGTAGA SeuratProject      14091         3864  0.08940628  0.77610326          14091             3864 #> CACAGTACATCCGTGG SeuratProject       5484         2510 -0.25927997 -0.25941831           5484             2510 #> CGGAGCTCATTGGGCC SeuratProject       7357         2674 -0.11764368  0.46237856           7357             2674 #> AGAGCTTGTGTGACCC SeuratProject       6498         2516 -0.11406432 -0.17830831           6498             2516 #>                  nCount_unspliced nFeature_unspliced      CellType   SubCellType Phase palantir_pseudotime #> CAGCCGAAGCGATATA             1587               1063        Ductal        Ductal   G2M          0.25910808 #> AGTGTCATCGCCGTGA             1199                803 Pre-endocrine Pre-endocrine    G1          0.49968980 #> GATGAAAAGTTGTAGA             2166               1379   Ngn3 low EP   Ngn3 low EP   G2M          0.29036675 #> CACAGTACATCCGTGG             1339                859     Endocrine          Beta    G1          0.69014101 #> CGGAGCTCATTGGGCC              976                745        Ductal        Ductal   G2M          0.11107706 #> AGAGCTTGTGTGACCC              822                591        Ductal        Ductal    G1          0.03843483 #>                  palantir_diff_potential Delta_diff_potential Epsilon_diff_potential Alpha_diff_potential #> CAGCCGAAGCGATATA               1.1828661            0.3363345             0.09180837           0.10830487 #> AGTGTCATCGCCGTGA               1.1772545            0.3362934             0.08943487           0.10713285 #> GATGAAAAGTTGTAGA               1.1828661            0.3363345             0.09180837           0.10830487 #> CACAGTACATCCGTGG               0.9354271            0.2798339             0.02801623           0.06885154 #> CGGAGCTCATTGGGCC               1.1828661            0.3363345             0.09180837           0.10830487 #> AGAGCTTGTGTGACCC               1.1828661            0.3363345             0.09180837           0.10830487 #>                  Beta_diff_potential #> CAGCCGAAGCGATATA           0.4635523 #> AGTGTCATCGCCGTGA           0.4671389 #> GATGAAAAGTTGTAGA           0.4635523 #> CACAGTACATCCGTGG           0.6232984 #> CGGAGCTCATTGGGCC           0.4635523 #> AGAGCTTGTGTGACCC           0.4635523 FeatureDimPlot(pancreas_sub, c(\"palantir_pseudotime\", \"palantir_diff_potential\"))  FeatureDimPlot(pancreas_sub, paste0(c(\"Alpha\", \"Beta\", \"Delta\", \"Epsilon\"), \"_diff_potential\"))"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSCExplorer.html","id":null,"dir":"Reference","previous_headings":"","what":"RunSCExplorer — RunSCExplorer","title":"RunSCExplorer — RunSCExplorer","text":"RunSCExplorer","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSCExplorer.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"RunSCExplorer — RunSCExplorer","text":"","code":"RunSCExplorer(   base_dir = \"SCExplorer\",   DataFile = \"Data.hdf5\",   MetaFile = \"Meta.hdf5\",   title = \"SCExplorer\",   initial_dataset = NULL,   initial_reduction = NULL,   initial_group = NULL,   initial_feature = NULL,   initial_assay = NULL,   initial_slot = NULL,   initial_label = \"No\",   initial_cell_palette = \"Paired\",   initial_feature_palette = \"Spectral\",   initial_theme = \"theme_scp\",   initial_size = 4,   initial_ncol = 3,   initial_arrange = \"Row\",   initial_dpi = 100,   workers = 2,   threads_per_workers = 10,   create_script = TRUE,   style_script = require(\"styler\", quietly = TRUE),   overwrite = FALSE,   return_app = TRUE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSCExplorer.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"RunSCExplorer — RunSCExplorer","text":"workers","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSCExplorer.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"RunSCExplorer — RunSCExplorer","text":"","code":"if (FALSE) { data(\"pancreas_sub\") pancreas_sub <- Standard_SCP(pancreas_sub) data(\"panc8_sub\") panc8_sub <- Integration_SCP(srtMerge = panc8_sub, batch = \"tech\", integration_method = \"Seurat\")  PrepareSCExplorer(list(mouse_pancreas = pancreas_sub, human_pancreas = panc8_sub), base_dir = \"./SCExplorer\", overwrite = TRUE)  # Create the app.R script app <- RunSCExplorer(base_dir = \"./SCExplorer\", workers = 2, overwrite = TRUE) list.files(\"./SCExplorer\") # This directory can be used as site directory for Shiny Server.  # Run shiny app if (interactive()) {   shiny::runApp(app) } # Note: If SCP installed in the isolated environment using renv, you need to add `renv::activate(project = \"path/to/SCP_env\")` to the app.R script.  #################################################################################################################### # You can deploy the app on the self-hosted shiny server(https://www.rstudio.com/products/shiny/shiny-server/). # Or deploy the app on the website(https://www.shinyapps.io) for free:  ### step1: set the repository URL for Bioconductor packages and update them to the latest version # options(repos = BiocManager::repositories()) # BiocManager::install(ask = FALSE)  ### step2: install \"rsconnect\" package and authorize your account # install.packages(\"rsconnect\") # library(rsconnect) # setAccountInfo(name = \"\", token = \"\", secret = \"\")  ### step3: deploy the app # deployApp(\"./SCExplorer\") }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSCVELO.html","id":null,"dir":"Reference","previous_headings":"","what":"Run scVelo analysis — RunSCVELO","title":"Run scVelo analysis — RunSCVELO","text":"scVelo scalable toolkit RNA velocity analysis single cells. function performs scVelo workflow R reticulate.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSCVELO.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run scVelo analysis — RunSCVELO","text":"","code":"RunSCVELO(   srt = NULL,   assay_X = \"RNA\",   slot_X = \"counts\",   assay_layers = c(\"spliced\", \"unspliced\"),   slot_layers = \"counts\",   adata = NULL,   group_by = NULL,   linear_reduction = NULL,   nonlinear_reduction = NULL,   basis = NULL,   mode = \"stochastic\",   fitting_by = \"stochastic\",   magic_impute = FALSE,   knn = 5,   t = 2,   min_shared_counts = 30,   n_pcs = 30,   n_neighbors = 30,   approx = TRUE,   stream_smooth = NULL,   stream_density = 2,   arrow_length = 5,   arrow_size = 5,   arrow_density = 0.5,   denoise = FALSE,   denoise_topn = 3,   kinetics = FALSE,   kinetics_topn = 100,   calculate_velocity_genes = FALSE,   top_n = 6,   n_jobs = 1,   palette = \"Paired\",   palcolor = NULL,   show_plot = TRUE,   dpi = 300,   save = FALSE,   dirpath = \"./\",   fileprefix = \"\",   return_seurat = !is.null(srt) )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSCVELO.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run scVelo analysis — RunSCVELO","text":"srt Seurat object. adata anndata object. Can created srt_to_adata group_by group_by. linear_reduction linear_reduction. nonlinear_reduction nonlinear_reduction. basis basis. mode mode. fitting_by fitting_by. min_shared_counts min_shared_counts. n_pcs n_pcs. n_neighbors n_neighbors. approx approx. stream_smooth stream_smooth. stream_density stream_density. arrow_length arrow_length. arrow_size arrow_size. arrow_density arrow_density. calculate_velocity_genes calculate_velocity_genes. n_jobs n_jobs. dpi dpi. save save. dirpath dirpath. fileprefix fileprefix. return_seurat  h5ad h5ad file path.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSCVELO.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run scVelo analysis — RunSCVELO","text":"anndata object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSCVELO.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run scVelo analysis — RunSCVELO","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunSCVELO(srt = pancreas_sub, assay_X = \"RNA\", group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\") #> 'misc' slot is not converted. #> 'tools' slot is not converted. #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from variance_stochastic_ to variancestochastic_ #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from variance_velocity_ to variancevelocity_ head(pancreas_sub[[]]) #>                     orig.ident nCount_RNA nFeature_RNA     S_score   G2M_score nCount_spliced nFeature_spliced #> CAGCCGAAGCGATATA SeuratProject      10653         3295  0.33188155  0.54532743          10653             3295 #> AGTGTCATCGCCGTGA SeuratProject       4596         2053 -0.07156909 -0.08865353           4596             2053 #> GATGAAAAGTTGTAGA SeuratProject      14091         3864  0.08940628  0.77610326          14091             3864 #> CACAGTACATCCGTGG SeuratProject       5484         2510 -0.25927997 -0.25941831           5484             2510 #> CGGAGCTCATTGGGCC SeuratProject       7357         2674 -0.11764368  0.46237856           7357             2674 #> AGAGCTTGTGTGACCC SeuratProject       6498         2516 -0.11406432 -0.17830831           6498             2516 #>                  nCount_unspliced nFeature_unspliced      CellType   SubCellType Phase initial_size_unspliced #> CAGCCGAAGCGATATA             1587               1063        Ductal        Ductal   G2M                   1587 #> AGTGTCATCGCCGTGA             1199                803 Pre-endocrine Pre-endocrine    G1                   1199 #> GATGAAAAGTTGTAGA             2166               1379   Ngn3 low EP   Ngn3 low EP   G2M                   2166 #> CACAGTACATCCGTGG             1339                859     Endocrine          Beta    G1                   1339 #> CGGAGCTCATTGGGCC              976                745        Ductal        Ductal   G2M                    976 #> AGAGCTTGTGTGACCC              822                591        Ductal        Ductal    G1                    822 #>                  initial_size_spliced initial_size n_counts root_cells   end_points stochastic_self_transition #> CAGCCGAAGCGATATA                10653        10653 4571.989          0 1.452156e-03                  0.4485805 #> AGTGTCATCGCCGTGA                 4596         4596 4538.002          0 4.700293e-05                  0.3937627 #> GATGAAAAGTTGTAGA                14091        14091 4556.545          0 3.551841e-03                  0.7711352 #> CACAGTACATCCGTGG                 5484         5484 4488.308          0 1.154690e-03                  0.2689254 #> CGGAGCTCATTGGGCC                 7357         7357 4579.191          0 3.440304e-04                  0.2470511 #> AGAGCTTGTGTGACCC                 6498         6498 4593.732          0 1.423519e-04                  0.4078819 #>                  stochastic_length stochastic_confidence stochastic_confidence_transition stochastic_root_cells #> CAGCCGAAGCGATATA              4.17             0.8269730                       0.06003009                     0 #> AGTGTCATCGCCGTGA             18.09             0.9360172                       0.13206813                     0 #> GATGAAAAGTTGTAGA              4.66             0.8642706                       0.04803392                     0 #> CACAGTACATCCGTGG              6.85             0.7111084                       0.35759005                     0 #> CGGAGCTCATTGGGCC              7.28             0.7939473                       0.19816431                     0 #> AGAGCTTGTGTGACCC              6.88             0.8454575                       0.11833344                     0 #>                  stochastic_end_points stochastic_pseudotime nCount_Ms nFeature_Ms nCount_Mu nFeature_Mu #> CAGCCGAAGCGATATA          1.452156e-03             0.2102930  4585.044        3685  892.5218        3535 #> AGTGTCATCGCCGTGA          4.700293e-05             0.7906109  4675.374        3549  961.4076        3239 #> GATGAAAAGTTGTAGA          3.551841e-03             0.1551773  4567.841        3666  899.8371        3414 #> CACAGTACATCCGTGG          1.154690e-03             0.8539678  4538.791        3743  934.1198        3572 #> CGGAGCTCATTGGGCC          3.440304e-04             0.2245581  4573.531        3585  882.0175        3157 #> AGAGCTTGTGTGACCC          1.423519e-04             0.2058769  4626.373        3669  899.8281        3394 #>                  nCount_stochastic nFeature_stochastic nCount_variance_stochastic nFeature_variance_stochastic #> CAGCCGAAGCGATATA         147.76477                1862                  118.07200                          425 #> AGTGTCATCGCCGTGA          70.10995                1542                  -27.08941                          209 #> GATGAAAAGTTGTAGA         140.92148                1752                  136.57796                          425 #> CACAGTACATCCGTGG         -35.27201                1435                  -61.89321                          243 #> CGGAGCTCATTGGGCC         185.67488                1857                   71.58423                          275 #> AGAGCTTGTGTGACCC         132.88978                1673                   31.84623                          266 #>                  nCount_velocity nFeature_velocity nCount_variance_velocity nFeature_variance_velocity #> CAGCCGAAGCGATATA       147.76477              1862                118.07200                        425 #> AGTGTCATCGCCGTGA        70.10995              1542                -27.08941                        209 #> GATGAAAAGTTGTAGA       140.92148              1752                136.57796                        425 #> CACAGTACATCCGTGG       -35.27201              1435                -61.89321                        243 #> CGGAGCTCATTGGGCC       185.67488              1857                 71.58423                        275 #> AGAGCTTGTGTGACCC       132.88978              1673                 31.84623                        266 names(pancreas_sub@assays) #> [1] \"RNA\"                 \"spliced\"             \"unspliced\"           \"Ms\"                  \"Mu\"                  #> [6] \"stochastic\"          \"variance_stochastic\" \"velocity\"            \"variance_velocity\"    FeatureDimPlot(pancreas_sub, c(\"stochastic_length\", \"stochastic_confidence\"))  FeatureDimPlot(pancreas_sub, \"stochastic_pseudotime\")  VelocityPlot(pancreas_sub, reduction = \"UMAP\", plot_type = \"stream\")  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", pt.size = NA, velocity = \"stochastic\") #> Warning: Removed 1000 rows containing missing values (`geom_point()`). #> Warning: Removed 1000 rows containing missing values (`geom_point()`). #> Warning: Removed 3 rows containing missing values (`geom_segment()`).   pancreas_sub <- Standard_SCP(pancreas_sub, normalization_method = \"SCT\", nonlinear_reduction = \"tsne\") #> [2023-09-08 17:01:19.405107] Start Standard_SCP #> [2023-09-08 17:01:19.405418] Checking srtList... ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Perform SCTransform on the data 1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-08 17:01:39.573812] Finished checking. #> [2023-09-08 17:01:39.574053] Perform linear dimension reduction (pca) on the data... #> [2023-09-08 17:01:40.743525] Perform FindClusters (louvain) on the data... #> [2023-09-08 17:01:40.927927] Reorder clusters... #> [2023-09-08 17:01:41.352883] Perform nonlinear dimension reduction (tsne) on the data... #> Non-linear dimensionality reduction(tsne) using Reduction(Standardpca, dims:1-11) as input #> Non-linear dimensionality reduction(tsne) using Reduction(Standardpca, dims:1-11) as input #> [2023-09-08 17:01:55.159973] Standard_SCP done #> Elapsed time: 35.75 secs  pancreas_sub <- RunSCVELO(srt = pancreas_sub, assay_X = \"SCT\", group_by = \"SubCellType\", linear_reduction = \"Standardpca\", nonlinear_reduction = \"StandardTSNE2D\") #> Assay 'RNA' is in the srt object but not converted. #> Assay 'Ms' is in the srt object but not converted. #> Assay 'Mu' is in the srt object but not converted. #> Assay 'stochastic' is in the srt object but not converted. #> Assay 'variance_stochastic' is in the srt object but not converted. #> Assay 'velocity' is in the srt object but not converted. #> Assay 'variance_velocity' is in the srt object but not converted. #> 'misc' slot is not converted. #> 'tools' slot is not converted. #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from variance_stochastic_ to variancestochastic_ #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from variance_velocity_ to variancevelocity_"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunScmap.html","id":null,"dir":"Reference","previous_headings":"","what":"Annotate single cells using scmap. — RunScmap","title":"Annotate single cells using scmap. — RunScmap","text":"Annotate single cells using scmap.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunScmap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Annotate single cells using scmap. — RunScmap","text":"","code":"RunScmap(   srt_query,   srt_ref,   ref_group = NULL,   method = \"scmapCluster\",   n_features = 500,   threshold = 0.5,   k = 10,   query_assay = \"RNA\",   ref_assay = \"RNA\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunScmap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Annotate single cells using scmap. — RunScmap","text":"force","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunScmap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Annotate single cells using scmap. — RunScmap","text":"","code":"data(\"panc8_sub\") # Simply convert genes from human to mouse and preprocess the data genenames <- make.unique(capitalize(rownames(panc8_sub), force_tolower = TRUE)) panc8_sub <- RenameFeatures(panc8_sub, newnames = genenames) #> Rename features for the assay: RNA panc8_sub <- check_srtMerge(panc8_sub, batch = \"tech\")[[\"srtMerge\"]] #> [2023-09-08 17:02:36.471279] Spliting srtMerge into srtList by column tech... ... #> [2023-09-08 17:02:37.473925] Checking srtList... ... #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/5 of the srtList... #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 2/5 of the srtList... #> Data 3/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 3/5 of the srtList... #> Data 4/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 4/5 of the srtList... #> Data 5/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 5/5 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-08 17:02:42.007008] Finished checking.  # Annotation data(\"pancreas_sub\") pancreas_sub <- Standard_SCP(pancreas_sub) #> [2023-09-08 17:02:44.629332] Start Standard_SCP #> [2023-09-08 17:02:44.629618] Checking srtList... ... #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-08 17:02:46.040177] Finished checking. #> [2023-09-08 17:02:46.040454] Perform ScaleData on the data... #> [2023-09-08 17:02:46.264681] Perform linear dimension reduction (pca) on the data... #> [2023-09-08 17:02:47.313702] Perform FindClusters (louvain) on the data... #> [2023-09-08 17:02:47.473329] Reorder clusters... #> [2023-09-08 17:02:47.781681] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-08 17:03:00.469146] Standard_SCP done #> Elapsed time: 15.84 secs  pancreas_sub <- RunScmap(   srt_query = pancreas_sub, srt_ref = panc8_sub,   ref_group = \"celltype\", method = \"scmapCluster\" ) #> Detected srt_query data type: log_normalized_counts #> Detected srt_ref data type: log_normalized_counts #> Perform selectFeatures on the data... #> Perform indexCluster on the data... #> Perform scmapCluster on the data... #> Warning: Features Adcyap1, Cfc1, Col6a2, Col6a3, Crp, Ctrc, Gsta1, Lcn2, Loxl4, Mafa, Mt-atp6, Mt-co1, Mt-co2, Mt-co3, Mt-nd1, Mt-nd2, Mt-nd4, Mt-nd4l, Mt-nd5, Muc13, Serpina5, Tacstd2 are not present in the 'SCESet' object and therefore were not set. CellDimPlot(pancreas_sub, group.by = \"scmap_annotation\")   pancreas_sub <- RunScmap(   srt_query = pancreas_sub, srt_ref = panc8_sub,   ref_group = \"celltype\", method = \"scmapCell\" ) #> Detected srt_query data type: log_normalized_counts #> Detected srt_ref data type: log_normalized_counts #> Perform selectFeatures on the data... #> Perform indexCell on the data... #> Perform scmapCell on the data... #> Perform scmapCell2Cluster on the data... CellDimPlot(pancreas_sub, group.by = \"scmap_annotation\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSeuratMap.html","id":null,"dir":"Reference","previous_headings":"","what":"Single-cell reference mapping with Seurat method — RunSeuratMap","title":"Single-cell reference mapping with Seurat method — RunSeuratMap","text":"Single-cell reference mapping Seurat method","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSeuratMap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Single-cell reference mapping with Seurat method — RunSeuratMap","text":"","code":"RunSeuratMap(   srt_query,   srt_ref,   query_assay = NULL,   ref_assay = srt_ref[[ref_pca]]@assay.used,   ref_pca = NULL,   ref_dims = 1:30,   ref_umap = NULL,   ref_group = NULL,   normalization.method = \"LogNormalize\",   reduction_project_method = \"pcaproject\",   k.anchor = 5,   k.filter = 200,   k.score = 30,   k.weight = 100,   projection_method = c(\"model\", \"knn\"),   nn_method = NULL,   k = 30,   distance_metric = \"cosine\",   vote_fun = \"mean\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSeuratMap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Single-cell reference mapping with Seurat method — RunSeuratMap","text":"ref_assay","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSeuratMap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Single-cell reference mapping with Seurat method — RunSeuratMap","text":"","code":"data(\"panc8_sub\") srt_ref <- panc8_sub[, panc8_sub$tech != \"fluidigmc1\"] srt_query <- panc8_sub[, panc8_sub$tech == \"fluidigmc1\"] srt_ref <- Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"Seurat\") #> [2023-09-08 17:03:16.691936] Start Seurat_integrate #> Error in Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"Seurat\"): object 'srt_ref' not found CellDimPlot(srt_ref, group.by = c(\"celltype\", \"tech\")) #> Error in DefaultReduction(srt): Unable to find any reductions.  # Projection srt_query <- RunSeuratMap(srt_query = srt_query, srt_ref = srt_ref, ref_pca = \"Seuratpca\", ref_umap = \"SeuratUMAP2D\", k.weight = 50) #> Error: Cannot find 'Seuratpca' in this Seurat object ProjectionPlot(srt_query = srt_query, srt_ref = srt_ref, query_group = \"celltype\", ref_group = \"celltype\") #> Error: Cannot find 'ref.embeddings' in this Seurat object"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSingleR.html","id":null,"dir":"Reference","previous_headings":"","what":"Annotate single cells using scmap. — RunSingleR","title":"Annotate single cells using scmap. — RunSingleR","text":"Annotate single cells using scmap.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSingleR.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Annotate single cells using scmap. — RunSingleR","text":"","code":"RunSingleR(   srt_query,   srt_ref,   query_group = NULL,   ref_group = NULL,   genes = \"de\",   de.method = \"wilcox\",   sd.thresh = 1,   de.n = NULL,   aggr.ref = FALSE,   aggr.args = list(),   quantile = 0.8,   fine.tune = TRUE,   tune.thresh = 0.05,   prune = TRUE,   BPPARAM = BiocParallel::bpparam(),   query_assay = \"RNA\",   ref_assay = \"RNA\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSingleR.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Annotate single cells using scmap. — RunSingleR","text":"force","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSingleR.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Annotate single cells using scmap. — RunSingleR","text":"","code":"data(\"panc8_sub\") # Simply convert genes from human to mouse and preprocess the data genenames <- make.unique(capitalize(rownames(panc8_sub), force_tolower = TRUE)) panc8_sub <- RenameFeatures(panc8_sub, newnames = genenames) #> Rename features for the assay: RNA panc8_sub <- check_srtMerge(panc8_sub, batch = \"tech\")[[\"srtMerge\"]] #> [2023-09-08 17:03:18.859759] Spliting srtMerge into srtList by column tech... ... #> [2023-09-08 17:03:19.629709] Checking srtList... ... #> Data 1/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/5 of the srtList... #> Data 2/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 2/5 of the srtList... #> Data 3/5 of the srtList is raw_normalized_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 3/5 of the srtList... #> Data 4/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 4/5 of the srtList... #> Data 5/5 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 5/5 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-08 17:03:23.728776] Finished checking.  # Annotation data(\"pancreas_sub\") pancreas_sub <- Standard_SCP(pancreas_sub) #> [2023-09-08 17:03:26.163061] Start Standard_SCP #> [2023-09-08 17:03:26.163327] Checking srtList... ... #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-08 17:03:27.369733] Finished checking. #> [2023-09-08 17:03:27.370005] Perform ScaleData on the data... #> [2023-09-08 17:03:27.592314] Perform linear dimension reduction (pca) on the data... #> [2023-09-08 17:03:28.707021] Perform FindClusters (louvain) on the data... #> [2023-09-08 17:03:28.874494] Reorder clusters... #> [2023-09-08 17:03:29.193243] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-08 17:03:41.320049] Standard_SCP done #> Elapsed time: 15.16 secs  pancreas_sub <- RunSingleR(   srt_query = pancreas_sub, srt_ref = panc8_sub,   query_group = \"Standardclusters\", ref_group = \"celltype\", ) #> Detected srt_query data type: log_normalized_counts #> Detected srt_ref data type: log_normalized_counts #> Perform SingleRCluster on the data... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  CellDimPlot(pancreas_sub, group.by = \"singler_annotation\")   pancreas_sub <- RunSingleR(   srt_query = pancreas_sub, srt_ref = panc8_sub,   query_group = NULL, ref_group = \"celltype\" ) #> Detected srt_query data type: log_normalized_counts #> Detected srt_ref data type: log_normalized_counts #> Perform SingleRCell on the data... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  CellDimPlot(pancreas_sub, group.by = \"singler_annotation\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSlingshot.html","id":null,"dir":"Reference","previous_headings":"","what":"RunSlingshot — RunSlingshot","title":"RunSlingshot — RunSlingshot","text":"RunSlingshot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSlingshot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"RunSlingshot — RunSlingshot","text":"","code":"RunSlingshot(   srt,   group.by,   reduction = NULL,   dims = NULL,   start = NULL,   end = NULL,   prefix = NULL,   reverse = FALSE,   align_start = FALSE,   show_plot = TRUE,   lineage_palette = \"Dark2\",   seed = 11,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSlingshot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"RunSlingshot — RunSlingshot","text":"dims","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSlingshot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"RunSlingshot — RunSlingshot","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\") #> Warning: Removed 8 rows containing missing values (`geom_path()`). #> Warning: Removed 8 rows containing missing values (`geom_path()`).  pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"PCA\", dims = 1:10)  CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", lineages = paste0(\"Lineage\", 1:2), lineages_span = 0.1)   # 3D lineage pancreas_sub <- Standard_SCP(pancreas_sub) #> [2023-09-08 17:04:24.402359] Start Standard_SCP #> [2023-09-08 17:04:24.402606] Checking srtList... ... #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-08 17:04:25.696988] Finished checking. #> [2023-09-08 17:04:25.69725] Perform ScaleData on the data... #> [2023-09-08 17:04:25.863002] Perform linear dimension reduction (pca) on the data... #> [2023-09-08 17:04:26.921353] Perform FindClusters (louvain) on the data... #> [2023-09-08 17:04:27.098075] Reorder clusters... #> [2023-09-08 17:04:27.34966] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-08 17:04:39.894188] Standard_SCP done #> Elapsed time: 15.49 secs  pancreas_sub <- RunSlingshot(pancreas_sub, group.by = \"SubCellType\", reduction = \"StandardpcaUMAP3D\") CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = \"UMAP\", lineages = paste0(\"Lineage\", 1:3), lineages_span = 0.1, lineages_trim = c(0.05, 0.95))"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSymphonyMap.html","id":null,"dir":"Reference","previous_headings":"","what":"Single-cell reference mapping with Symphony method — RunSymphonyMap","title":"Single-cell reference mapping with Symphony method — RunSymphonyMap","text":"Single-cell reference mapping Symphony method","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSymphonyMap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Single-cell reference mapping with Symphony method — RunSymphonyMap","text":"","code":"RunSymphonyMap(   srt_query,   srt_ref,   query_assay = NULL,   ref_assay = srt_ref[[ref_pca]]@assay.used,   ref_pca = NULL,   ref_harmony = NULL,   ref_umap = NULL,   ref_group = NULL,   projection_method = c(\"model\", \"knn\"),   nn_method = NULL,   k = 30,   distance_metric = \"cosine\",   vote_fun = \"mean\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSymphonyMap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Single-cell reference mapping with Symphony method — RunSymphonyMap","text":"vote_fun","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunSymphonyMap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Single-cell reference mapping with Symphony method — RunSymphonyMap","text":"","code":"data(\"panc8_sub\") srt_ref <- panc8_sub[, panc8_sub$tech != \"fluidigmc1\"] srt_query <- panc8_sub[, panc8_sub$tech == \"fluidigmc1\"] srt_ref <- Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"Harmony\") #> [2023-09-08 17:04:46.913519] Start Harmony_integrate #> Error in Integration_SCP(srt_ref, batch = \"tech\", integration_method = \"Harmony\"): object 'srt_ref' not found CellDimPlot(srt_ref, group.by = c(\"celltype\", \"tech\")) #> Error in DefaultReduction(srt): Unable to find any reductions.  # Projection srt_query <- RunSymphonyMap(srt_query = srt_query, srt_ref = srt_ref, ref_pca = \"Harmonypca\", ref_harmony = \"Harmony\", ref_umap = \"HarmonyUMAP2D\") #> Install package: \"symphony\" ... #> 'getOption(\"repos\")' replaces Bioconductor standard repositories, see 'help(\"repositories\", package = \"BiocManager\")' #> for details. #> Replacement repositories: #>     CRAN: https://cloud.r-project.org #> Bioconductor version 3.17 (BiocManager 1.30.22), R 4.3.1 (2023-06-16) #> Installing github package(s) 'immunogenomics/symphony' #> Warning: package ‘immunogenomics/symphony’ is not available for this version of R #>  #> A version of this package for your version of R might be available elsewhere, #> see the ideas at #> https://cran.r-project.org/doc/manuals/r-patched/R-admin.html#Installing-packages #> Using github PAT from envvar GITHUB_PAT #> Downloading GitHub repo immunogenomics/symphony@HEAD #> Installing 2 packages: sitmo, harmony #> Installing packages into ‘/home/runner/work/_temp/Library’ #> (as ‘lib’ is unspecified) #> ── R CMD build ───────────────────────────────────────────────────────────────────────────────────────────────────────── #> * checking for file ‘/tmp/Rtmp5K7zMn/remotes8ff11fff36d3/immunogenomics-symphony-bf7aaf9/DESCRIPTION’ ... OK #> * preparing ‘symphony’: #> * checking DESCRIPTION meta-information ... OK #> * cleaning src #> * checking for LF line-endings in source and make files and shell scripts #> * checking for empty or unneeded directories #> * building ‘symphony_0.1.1.tar.gz’ #>  #> Installing package into ‘/home/runner/work/_temp/Library’ #> (as ‘lib’ is unspecified) #> Error: Cannot find 'Harmonypca' in this Seurat object ProjectionPlot(srt_query = srt_query, srt_ref = srt_ref, query_group = \"celltype\", ref_group = \"celltype\") #> Error: Cannot find 'ref.embeddings' in this Seurat object"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunTriMap.html","id":null,"dir":"Reference","previous_headings":"","what":"Run TriMap — RunTriMap","title":"Run TriMap — RunTriMap","text":"Run TriMap","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunTriMap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run TriMap — RunTriMap","text":"","code":"RunTriMap(object, ...)  # S3 method for Seurat RunTriMap(   object,   reduction = \"pca\",   dims = NULL,   features = NULL,   assay = DefaultAssay(object = object),   slot = \"data\",   n_components = 2,   n_inliers = 12,   n_outliers = 4,   n_random = 3,   distance_method = \"euclidean\",   lr = 0.1,   n_iters = 400,   triplets = NULL,   weights = NULL,   use_dist_matrix = FALSE,   knn_tuple = NULL,   apply_pca = TRUE,   opt_method = \"dbd\",   reduction.name = \"trimap\",   reduction.key = \"TriMap_\",   verbose = TRUE,   seed.use = 11L,   ... )  # S3 method for default RunTriMap(   object,   assay = NULL,   n_components = 2,   n_inliers = 12,   n_outliers = 4,   n_random = 3,   distance_method = \"euclidean\",   lr = 0.1,   n_iters = 400,   triplets = NULL,   weights = NULL,   use_dist_matrix = FALSE,   knn_tuple = NULL,   apply_pca = TRUE,   opt_method = \"dbd\",   reduction.key = \"TriMap_\",   verbose = TRUE,   seed.use = 11L,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunTriMap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run TriMap — RunTriMap","text":"object  ...  n_components","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunUMAP2.html","id":null,"dir":"Reference","previous_headings":"","what":"Run UMAP — RunUMAP2","title":"Run UMAP — RunUMAP2","text":"Run UMAP","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunUMAP2.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run UMAP — RunUMAP2","text":"","code":"RunUMAP2(object, ...)  # S3 method for Seurat RunUMAP2(   object,   reduction = \"pca\",   dims = NULL,   features = NULL,   neighbor = NULL,   graph = NULL,   assay = DefaultAssay(object = object),   slot = \"data\",   umap.method = \"uwot\",   reduction.model = NULL,   return.model = FALSE,   n.neighbors = 30L,   n.components = 2L,   metric = \"cosine\",   n.epochs = 200L,   spread = 1,   min.dist = 0.3,   set.op.mix.ratio = 1,   local.connectivity = 1L,   negative.sample.rate = 5L,   a = NULL,   b = NULL,   learning.rate = 1,   repulsion.strength = 1,   seed.use = 42L,   verbose = TRUE,   reduction.name = \"umap\",   reduction.key = \"UMAP_\",   ... )  # S3 method for default RunUMAP2(   object,   assay = NULL,   umap.method = \"uwot\",   reduction.model = NULL,   return.model = FALSE,   n.neighbors = 30L,   n.components = 2L,   metric = \"cosine\",   n.epochs = 200L,   spread = 1,   min.dist = 0.3,   set.op.mix.ratio = 1,   local.connectivity = 1L,   negative.sample.rate = 5L,   a = NULL,   b = NULL,   learning.rate = 1,   repulsion.strength = 1,   seed.use = 42L,   verbose = TRUE,   reduction.key = \"UMAP_\",   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunUMAP2.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run UMAP — RunUMAP2","text":"object  ...","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunWOT.html","id":null,"dir":"Reference","previous_headings":"","what":"Run WOT analysis — RunWOT","title":"Run WOT analysis — RunWOT","text":"Run WOT analysis","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunWOT.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run WOT analysis — RunWOT","text":"","code":"RunWOT(   srt = NULL,   assay_X = \"RNA\",   slot_X = \"counts\",   assay_layers = c(\"spliced\", \"unspliced\"),   slot_layers = \"counts\",   adata = NULL,   group_by = NULL,   time_field = \"Time\",   growth_iters = 3L,   tmap_out = \"tmaps/tmap_out\",   time_from = 1,   time_to = NULL,   get_coupling = FALSE,   recalculate = FALSE,   palette = \"Paired\",   palcolor = NULL,   show_plot = TRUE,   dpi = 300,   save = FALSE,   dirpath = \"./\",   fileprefix = \"\",   return_seurat = !is.null(srt) )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunWOT.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run WOT analysis — RunWOT","text":"srt Seurat object. adata anndata object. Can created srt_to_adata group_by group_by. dpi dpi. save save. dirpath dirpath. fileprefix fileprefix. return_seurat","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/RunWOT.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Run WOT analysis — RunWOT","text":"anndata object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/SankeyPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"SankeyPlot — SankeyPlot","title":"SankeyPlot — SankeyPlot","text":"SankeyPlot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/SankeyPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"SankeyPlot — SankeyPlot","text":"","code":"SankeyPlot(node, edge, node_group = NULL, group_list = NULL)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/SankeyPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"SankeyPlot — SankeyPlot","text":"group_list","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Scanorama_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"Scanorama_integrate — Scanorama_integrate","title":"Scanorama_integrate — Scanorama_integrate","text":"Scanorama_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Scanorama_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Scanorama_integrate — Scanorama_integrate","text":"","code":"Scanorama_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   Scanorama_dims_use = NULL,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   return_corrected = FALSE,   scanorama_params = list(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Scanorama_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Scanorama_integrate — Scanorama_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Seurat_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"Seurat_integrate — Seurat_integrate","title":"Seurat_integrate — Seurat_integrate","text":"Seurat_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Seurat_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Seurat_integrate — Seurat_integrate","text":"","code":"Seurat_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   linear_reduction = \"pca\",   linear_reduction_dims = 50,   linear_reduction_dims_use = NULL,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   FindIntegrationAnchors_params = list(),   IntegrateData_params = list(),   IntegrateEmbeddings_params = list(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Seurat_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Seurat_integrate — Seurat_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". linear_reduction linear reduction method name. Can one \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Dimensions calculate performing linear reduction. linear_reduction_dims_use dimensions use performing nonlinear reduction. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/SrtAppend.html","id":null,"dir":"Reference","previous_headings":"","what":"Append a Seurat object to another — SrtAppend","title":"Append a Seurat object to another — SrtAppend","text":"Append Seurat object another","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/SrtAppend.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Append a Seurat object to another — SrtAppend","text":"","code":"SrtAppend(   srt_raw,   srt_append,   slots = slotNames(srt_append),   pattern = NULL,   overwrite = FALSE,   verbose = TRUE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/SrtAppend.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Append a Seurat object to another — SrtAppend","text":"srt_raw Seurat object appended. srt_append New Seurat object append. slots slots names. pattern character string containing regular expression. data matching names considered appending. overwrite Whether overwrite. verbose Show messages.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/SrtReorder.html","id":null,"dir":"Reference","previous_headings":"","what":"Reorder idents by the gene expression — SrtReorder","title":"Reorder idents by the gene expression — SrtReorder","text":"Reorder idents gene expression","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/SrtReorder.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Reorder idents by the gene expression — SrtReorder","text":"","code":"SrtReorder(   srt,   features = NULL,   reorder_by = NULL,   slot = \"data\",   assay = NULL,   log = TRUE,   distance_metric = \"euclidean\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/SrtReorder.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Reorder idents by the gene expression — SrtReorder","text":"srt Seurat object. features Features used reorder idents. reorder_by Reorder groups instead idents. slot Specific slot get data . assay Specific assay get data . log Whether log1p transformation needs applied. Default TRUE. distance_metric Metric compute distance. Default \"euclidean\".","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Standard_SCP.html","id":null,"dir":"Reference","previous_headings":"","what":"Standard_SCP — Standard_SCP","title":"Standard_SCP — Standard_SCP","text":"Single cell pipeline single dataset.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Standard_SCP.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Standard_SCP — Standard_SCP","text":"","code":"Standard_SCP(   srt,   prefix = \"Standard\",   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_method = \"vst\",   nHVF = 2000,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   linear_reduction = \"pca\",   linear_reduction_dims = 50,   linear_reduction_dims_use = NULL,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Standard_SCP.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Standard_SCP — Standard_SCP","text":"srt Seurat object. prefix prefix used name result. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". linear_reduction linear reduction method name. Can one \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Dimensions calculate performing linear reduction. linear_reduction_dims_use dimensions use performing nonlinear reduction. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Standard_SCP.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Standard_SCP — Standard_SCP","text":"Seurat object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Standard_SCP.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Standard_SCP — Standard_SCP","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- Standard_SCP(srt = pancreas_sub) #> [2023-09-08 17:05:50.760993] Start Standard_SCP #> [2023-09-08 17:05:50.761451] Checking srtList... ... #> Data 1/1 of the srtList is raw_counts. Perform NormalizeData(LogNormalize) on the data ... #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-08 17:05:53.85542] Finished checking. #> [2023-09-08 17:05:53.855907] Perform ScaleData on the data... #> [2023-09-08 17:05:54.699275] Perform linear dimension reduction (pca) on the data... #> [2023-09-08 17:05:56.043133] Perform FindClusters (louvain) on the data... #> [2023-09-08 17:05:56.320433] Reorder clusters... #> [2023-09-08 17:05:56.766112] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-08 17:06:10.12223] Standard_SCP done #> Elapsed time: 19.36 secs  CellDimPlot(pancreas_sub, group.by = \"SubCellType\")   # Use a combination of different linear or non-linear dimension reduction methods linear_reductions <- c(\"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\") pancreas_sub <- Standard_SCP(   srt = pancreas_sub,   linear_reduction = linear_reductions,   nonlinear_reduction = \"umap\" ) #> [2023-09-08 17:06:10.466565] Start Standard_SCP #> [2023-09-08 17:06:10.466788] Checking srtList... ... #> Data 1/1 of the srtList has been log-normalized. #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-08 17:06:11.70359] Finished checking. #> [2023-09-08 17:06:11.703821] Perform ScaleData on the data... #> [2023-09-08 17:06:11.909945] Perform linear dimension reduction (pca) on the data... #> [2023-09-08 17:06:13.16026] Perform FindClusters (louvain) on the data... #> [2023-09-08 17:06:13.417075] Reorder clusters... #> [2023-09-08 17:06:13.765565] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-08 17:06:26.087924] Perform linear dimension reduction (ica) on the data... #> [2023-09-08 17:06:28.262914] Perform FindClusters (louvain) on the data... #> [2023-09-08 17:06:28.476332] Reorder clusters... #> [2023-09-08 17:06:28.848974] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardica, dims:1-17) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardica, dims:1-17) as input #> [2023-09-08 17:06:40.686126] Perform linear dimension reduction (nmf) on the data... #>  #> Attaching package: ‘Matrix’ #> The following object is masked from ‘package:S4Vectors’: #>  #>     expand #> [2023-09-08 17:06:57.613822] Perform FindClusters (louvain) on the data... #> [2023-09-08 17:06:57.82821] Reorder clusters... #> [2023-09-08 17:06:58.265986] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardnmf, dims:1-50) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardnmf, dims:1-50) as input #> [2023-09-08 17:07:10.318304] Perform linear dimension reduction (mds) on the data... #> [2023-09-08 17:07:25.897137] Perform FindClusters (louvain) on the data... #> [2023-09-08 17:07:26.127641] Reorder clusters... #> [2023-09-08 17:07:26.61731] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardmds, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardmds, dims:1-13) as input #> [2023-09-08 17:07:38.220196] Perform linear dimension reduction (glmpca) on the data... #> Install package: \"glmpca\" ... #> 'getOption(\"repos\")' replaces Bioconductor standard repositories, see 'help(\"repositories\", package = \"BiocManager\")' #> for details. #> Replacement repositories: #>     CRAN: https://cloud.r-project.org #> Bioconductor version 3.17 (BiocManager 1.30.22), R 4.3.1 (2023-06-16) #> Installing package(s) 'glmpca' #> [2023-09-08 17:09:12.493897] Perform FindClusters (louvain) on the data... #> [2023-09-08 17:09:12.780734] Reorder clusters... #> [2023-09-08 17:09:13.33401] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardglmpca, dims:1-50) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardglmpca, dims:1-50) as input #> [2023-09-08 17:09:25.676037] Standard_SCP done #> Elapsed time: 3.25 mins  plist1 <- lapply(linear_reductions, function(lr) CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = paste0(\"Standard\", lr, \"UMAP2D\"), theme_use = \"theme_blank\")) patchwork::wrap_plots(plotlist = plist1)   nonlinear_reductions <- c(\"umap\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\", \"fr\") pancreas_sub <- Standard_SCP(   srt = pancreas_sub,   linear_reduction = \"pca\",   nonlinear_reduction = nonlinear_reductions ) #> [2023-09-08 17:09:27.48035] Start Standard_SCP #> [2023-09-08 17:09:27.480591] Checking srtList... ... #> Data 1/1 of the srtList has been log-normalized. #> Perform FindVariableFeatures on the data 1/1 of the srtList... #> Use the separate HVF from srtList... #> Number of available HVF: 2000 #> [2023-09-08 17:09:28.899961] Finished checking. #> [2023-09-08 17:09:28.900202] Perform ScaleData on the data... #> [2023-09-08 17:09:29.317436] Perform linear dimension reduction (pca) on the data... #> [2023-09-08 17:09:30.789099] Perform FindClusters (louvain) on the data... #> [2023-09-08 17:09:31.063849] Reorder clusters... #> [2023-09-08 17:09:31.66431] Perform nonlinear dimension reduction (umap) on the data... #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(umap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-08 17:09:43.929346] Perform nonlinear dimension reduction (tsne) on the data... #> Non-linear dimensionality reduction(tsne) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(tsne) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-08 17:09:57.202953] Perform nonlinear dimension reduction (dm) on the data... #> Non-linear dimensionality reduction(dm) using Reduction(Standardpca, dims:1-13) as input #> Warning: 'as(, \"dsTMatrix\")' is deprecated. #> Use 'as(., \"TsparseMatrix\")' instead. #> See help(\"Deprecated\") and help(\"Matrix-deprecated\"). #> Non-linear dimensionality reduction(dm) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-08 17:09:59.403583] Perform nonlinear dimension reduction (phate) on the data... #> Non-linear dimensionality reduction(phate) using Reduction(Standardpca, dims:1-13) as input #> Try to install phate ... #> Non-linear dimensionality reduction(phate) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-08 17:10:42.080668] Perform nonlinear dimension reduction (pacmap) on the data... #> Non-linear dimensionality reduction(pacmap) using Reduction(Standardpca, dims:1-13) as input #> Try to install pacmap ... #> Non-linear dimensionality reduction(pacmap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-08 17:11:29.313919] Perform nonlinear dimension reduction (trimap) on the data... #> Non-linear dimensionality reduction(trimap) using Reduction(Standardpca, dims:1-13) as input #> Try to install trimap ... #> Non-linear dimensionality reduction(trimap) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-08 17:12:00.973592] Perform nonlinear dimension reduction (largevis) on the data... #> Non-linear dimensionality reduction(largevis) using Reduction(Standardpca, dims:1-13) as input #> Non-linear dimensionality reduction(largevis) using Reduction(Standardpca, dims:1-13) as input #> [2023-09-08 17:19:54.581726] Perform nonlinear dimension reduction (fr) on the data... #> Non-linear dimensionality reduction(fr) using Graphs(Standardpca_SNN) as input #> Non-linear dimensionality reduction(fr) using Graphs(Standardpca_SNN) as input #> [2023-09-08 17:20:00.413985] Standard_SCP done #> Elapsed time: 10.55 mins  plist2 <- lapply(nonlinear_reductions, function(nr) CellDimPlot(pancreas_sub, group.by = \"SubCellType\", reduction = paste0(\"Standardpca\", toupper(nr), \"2D\"), theme_use = \"theme_blank\")) patchwork::wrap_plots(plotlist = plist2)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/StatPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"StatPlot — StatPlot","title":"StatPlot — StatPlot","text":"StatPlot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/StatPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"StatPlot — StatPlot","text":"","code":"StatPlot(   meta.data,   stat.by,   group.by = NULL,   split.by = NULL,   bg.by = NULL,   flip = FALSE,   NA_color = \"grey\",   NA_stat = TRUE,   keep_empty = FALSE,   individual = FALSE,   stat_level = NULL,   plot_type = c(\"bar\", \"rose\", \"ring\", \"pie\", \"trend\", \"area\", \"dot\", \"sankey\", \"chord\",     \"venn\", \"upset\"),   stat_type = c(\"percent\", \"count\"),   position = c(\"stack\", \"dodge\"),   palette = \"Paired\",   palcolor = NULL,   alpha = 1,   bg_palette = \"Paired\",   bg_palcolor = NULL,   bg_apha = 0.2,   label = FALSE,   label.size = 3.5,   label.fg = \"black\",   label.bg = \"white\",   label.bg.r = 0.1,   aspect.ratio = NULL,   title = NULL,   subtitle = NULL,   xlab = NULL,   ylab = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE,   force = FALSE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/StatPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"StatPlot — StatPlot","text":"meta.data  seed","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/StatPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"StatPlot — StatPlot","text":"","code":"data(\"pancreas_sub\") head(pancreas_sub@meta.data) #>                     orig.ident nCount_RNA nFeature_RNA     S_score   G2M_score nCount_spliced nFeature_spliced #> CAGCCGAAGCGATATA SeuratProject      10653         3295  0.33188155  0.54532743          10653             3295 #> AGTGTCATCGCCGTGA SeuratProject       4596         2053 -0.07156909 -0.08865353           4596             2053 #> GATGAAAAGTTGTAGA SeuratProject      14091         3864  0.08940628  0.77610326          14091             3864 #> CACAGTACATCCGTGG SeuratProject       5484         2510 -0.25927997 -0.25941831           5484             2510 #> CGGAGCTCATTGGGCC SeuratProject       7357         2674 -0.11764368  0.46237856           7357             2674 #> AGAGCTTGTGTGACCC SeuratProject       6498         2516 -0.11406432 -0.17830831           6498             2516 #>                  nCount_unspliced nFeature_unspliced      CellType   SubCellType Phase #> CAGCCGAAGCGATATA             1587               1063        Ductal        Ductal   G2M #> AGTGTCATCGCCGTGA             1199                803 Pre-endocrine Pre-endocrine    G1 #> GATGAAAAGTTGTAGA             2166               1379   Ngn3 low EP   Ngn3 low EP   G2M #> CACAGTACATCCGTGG             1339                859     Endocrine          Beta    G1 #> CGGAGCTCATTGGGCC              976                745        Ductal        Ductal   G2M #> AGAGCTTGTGTGACCC              822                591        Ductal        Ductal    G1 StatPlot(pancreas_sub@meta.data, stat.by = \"Phase\", group.by = \"CellType\", plot_type = \"bar\", label = TRUE)   head(pancreas_sub[[\"RNA\"]]@meta.features) #>               highly_variable_genes #> Mrpl15                        False #> Npbwr1                          #> 4732440D04Rik                 False #> Gm26901                       False #> Sntg1                          True #> Mybl1                         False StatPlot(pancreas_sub[[\"RNA\"]]@meta.features, stat.by = \"highly_variable_genes\", plot_type = \"ring\", label = TRUE) #> Warning: Removed 1 rows containing missing values (`position_stack()`). #> Warning: Removed 1 rows containing missing values (`position_stack()`).   pancreas_sub <- AnnotateFeatures(pancreas_sub, species = \"Mus_musculus\", IDtype = \"symbol\", db = \"GeneType\") #> Species: Mus_musculus #> Loading cached db: GeneType version:3.17.0 nterm:11 created:2023-09-08 15:21:08.639145 head(pancreas_sub[[\"RNA\"]]@meta.features) #>               highly_variable_genes       GeneType #> Mrpl15                        False protein-coding #> Npbwr1                          protein-coding #> 4732440D04Rik                 False            #> Gm26901                       False            #> Sntg1                          True protein-coding #> Mybl1                         False protein-coding StatPlot(pancreas_sub[[\"RNA\"]]@meta.features,   stat.by = \"highly_variable_genes\", group.by = \"GeneType\",   stat_type = \"count\", plot_type = \"bar\", position = \"dodge\", label = TRUE, NA_stat = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Uncorrected_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"Uncorrected_integrate — Uncorrected_integrate","title":"Uncorrected_integrate — Uncorrected_integrate","text":"Uncorrected_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Uncorrected_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Uncorrected_integrate — Uncorrected_integrate","text":"","code":"Uncorrected_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   do_scaling = TRUE,   vars_to_regress = NULL,   regression_model = \"linear\",   linear_reduction = \"pca\",   linear_reduction_dims = 50,   linear_reduction_dims_use = NULL,   linear_reduction_params = list(),   force_linear_reduction = FALSE,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/Uncorrected_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Uncorrected_integrate — Uncorrected_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. do_scaling Whether scale data. NULL, automatically determine. vars_to_regress Variables regress . regression_model Use linear model generalized linear model (poisson, negative binomial) regression. Options \"linear\" (default), \"poisson\", \"negbinom\". linear_reduction linear reduction method name. Can one \"pca\", \"ica\", \"nmf\", \"mds\", \"glmpca\". linear_reduction_dims Dimensions calculate performing linear reduction. linear_reduction_dims_use dimensions use performing nonlinear reduction. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/VelocityPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"Velocity Plot — VelocityPlot","title":"Velocity Plot — VelocityPlot","text":"Velocity Plot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/VelocityPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Velocity Plot — VelocityPlot","text":"","code":"VelocityPlot(   srt,   reduction,   dims = c(1, 2),   cells = NULL,   velocity = \"stochastic\",   plot_type = c(\"raw\", \"grid\", \"stream\"),   group_by = NULL,   group_palette = \"Paired\",   group_palcolor = NULL,   n_neighbors = ceiling(ncol(srt@assays[[1]])/50),   density = 1,   smooth = 0.5,   scale = 1,   min_mass = 1,   cutoff_perc = 5,   arrow_angle = 20,   arrow_color = \"black\",   streamline_L = 5,   streamline_minL = 1,   streamline_res = 1,   streamline_n = 15,   streamline_width = c(0, 0.8),   streamline_alpha = 1,   streamline_color = NULL,   streamline_palette = \"RdYlBu\",   streamline_palcolor = NULL,   streamline_bg_color = \"white\",   streamline_bg_stroke = 0.5,   aspect.ratio = 1,   title = \"Cell velocity\",   subtitle = NULL,   xlab = NULL,   ylab = NULL,   legend.position = \"right\",   legend.direction = \"vertical\",   theme_use = \"theme_scp\",   theme_args = list(),   return_layer = FALSE,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/VelocityPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Velocity Plot — VelocityPlot","text":"theme_args","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/VelocityPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Velocity Plot — VelocityPlot","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunSCVELO(srt = pancreas_sub, group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\", return_seurat = TRUE) #> 'misc' slot is not converted. #> 'tools' slot is not converted. #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from variance_stochastic_ to variancestochastic_ #> Warning: Keys should be one or more alphanumeric characters followed by an underscore, setting key from variance_velocity_ to variancevelocity_ VelocityPlot(pancreas_sub, reduction = \"UMAP\")  VelocityPlot(pancreas_sub, reduction = \"UMAP\", group_by = \"SubCellType\")  VelocityPlot(pancreas_sub, reduction = \"UMAP\", plot_type = \"grid\")  VelocityPlot(pancreas_sub, reduction = \"UMAP\", plot_type = \"stream\")  VelocityPlot(pancreas_sub, reduction = \"UMAP\", plot_type = \"stream\", streamline_color = \"black\")  VelocityPlot(pancreas_sub, reduction = \"UMAP\", plot_type = \"stream\", streamline_color = \"black\", arrow_color = \"red\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/VolcanoPlot.html","id":null,"dir":"Reference","previous_headings":"","what":"VolcanoPlot — VolcanoPlot","title":"VolcanoPlot — VolcanoPlot","text":"VolcanoPlot","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/VolcanoPlot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"VolcanoPlot — VolcanoPlot","text":"","code":"VolcanoPlot(   srt,   group_by = NULL,   test.use = \"wilcox\",   DE_threshold = \"avg_log2FC > 0 & p_val_adj < 0.05\",   x_metric = \"diff_pct\",   palette = \"RdBu\",   palcolor = NULL,   pt.size = 1,   pt.alpha = 1,   cols.highlight = \"black\",   sizes.highlight = 1,   alpha.highlight = 1,   stroke.highlight = 0.5,   nlabel = 5,   features_label = NULL,   label.fg = \"black\",   label.bg = \"white\",   label.bg.r = 0.1,   label.size = 4,   aspect.ratio = NULL,   xlab = x_metric,   ylab = \"-log10(p-adjust)\",   theme_use = \"theme_scp\",   theme_args = list(),   combine = TRUE,   nrow = NULL,   ncol = NULL,   byrow = TRUE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/VolcanoPlot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"VolcanoPlot — VolcanoPlot","text":"byrow","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/VolcanoPlot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"VolcanoPlot — VolcanoPlot","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- RunDEtest(pancreas_sub, group_by = \"CellType\", only.pos = FALSE) #> Warning: Data in the 'data' slot is raw counts. Perform NormalizeData(LogNormalize) on the data. #> [2023-09-08 17:21:01.832187] Start DEtest #> Workers: 1 #> Find all markers(wilcox) among 5 groups... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 17:21:12.563734] DEtest done #> Elapsed time:10.73 secs VolcanoPlot(pancreas_sub, group_by = \"CellType\")  VolcanoPlot(pancreas_sub, group_by = \"CellType\", DE_threshold = \"abs(diff_pct) > 0.3 & p_val_adj < 0.05\")  VolcanoPlot(pancreas_sub, group_by = \"CellType\", x_metric = \"avg_log2FC\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/adata_to_srt.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert an anndata object to a seurat object using reticulate — adata_to_srt","title":"Convert an anndata object to a seurat object using reticulate — adata_to_srt","text":"Convert anndata object seurat object using reticulate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/adata_to_srt.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert an anndata object to a seurat object using reticulate — adata_to_srt","text":"","code":"adata_to_srt(adata)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/adata_to_srt.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert an anndata object to a seurat object using reticulate — adata_to_srt","text":"adata connected python anndata object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/adata_to_srt.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Convert an anndata object to a seurat object using reticulate — adata_to_srt","text":"","code":"data(\"pancreas_sub\") adata <- srt_to_adata(pancreas_sub) #> 'misc' slot is not converted. #> 'tools' slot is not converted. adata <- RunPAGA(adata = adata, group_by = \"SubCellType\", linear_reduction = \"PCA\", nonlinear_reduction = \"UMAP\") srt <- adata_to_srt(adata) srt #> An object of class Seurat  #> 47874 features across 1000 samples within 3 assays  #> Active assay: RNA (15958 features, 0 variable features) #>  2 other assays present: spliced, unspliced #>  3 dimensional reductions calculated: PCA, UMAP, draw_graph_fr  ### Or convert a h5ad file to Seurat object # library(reticulate) # check_Python(\"scanpy\") # sc <- import(\"scanpy\") # adata <- sc$read_h5ad(\"pancreas.h5ad\") # srt <- adata_to_srt(adata) # srt"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/adjcolors.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert a color with arbitrary transparency to a fixed color — adjcolors","title":"Convert a color with arbitrary transparency to a fixed color — adjcolors","text":"Convert color arbitrary transparency fixed color","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/adjcolors.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert a color with arbitrary transparency to a fixed color — adjcolors","text":"","code":"adjcolors(colors, alpha)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/adjcolors.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert a color with arbitrary transparency to a fixed color — adjcolors","text":"colors Color vectors. alpha Alpha level [0,1]","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/adjcolors.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Convert a color with arbitrary transparency to a fixed color — adjcolors","text":"","code":"colors <- c(\"red\", \"blue\", \"green\") adjcolors(colors, 0.5) #>        V1        V2        V3  #> \"#FF8080\" \"#8080FF\" \"#80FF80\"   library(scales) alpha(colors, 0.5) #> [1] \"#FF000080\" \"#0000FF80\" \"#00FF0080\"  show_palettes(list(colors, adjcolors(colors, 0.5), alpha(colors, 0.5)))  #> [1] \"1\" \"2\" \"3\""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/as_matrix.html","id":null,"dir":"Reference","previous_headings":"","what":"Attempts to turn a dgCMatrix into a dense matrix — as_matrix","title":"Attempts to turn a dgCMatrix into a dense matrix — as_matrix","text":"Attempts turn dgCMatrix dense matrix","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/as_matrix.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Attempts to turn a dgCMatrix into a dense matrix — as_matrix","text":"","code":"as_matrix(matrix)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/as_matrix.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Attempts to turn a dgCMatrix into a dense matrix — as_matrix","text":"matrix dgCMatrix","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/blendcolors.html","id":null,"dir":"Reference","previous_headings":"","what":"Blend colors — blendcolors","title":"Blend colors — blendcolors","text":"Blend colors","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/blendcolors.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Blend colors — blendcolors","text":"","code":"blendcolors(colors, mode = c(\"blend\", \"average\", \"screen\", \"multiply\"))"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/blendcolors.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Blend colors — blendcolors","text":"colors Color vectors. mode Blend mode.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/blendcolors.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Blend colors — blendcolors","text":"","code":"blend <- c(\"red\", \"green\", blendcolors(c(\"red\", \"green\"), mode = \"blend\")) average <- c(\"red\", \"green\", blendcolors(c(\"red\", \"green\"), mode = \"average\")) screen <- c(\"red\", \"green\", blendcolors(c(\"red\", \"green\"), mode = \"screen\")) multiply <- c(\"red\", \"green\", blendcolors(c(\"red\", \"green\"), mode = \"multiply\")) show_palettes(list(\"blend\" = blend, \"average\" = average, \"screen\" = screen, \"multiply\" = multiply))  #> [1] \"blend\"    \"average\"  \"screen\"   \"multiply\""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/capitalize.html","id":null,"dir":"Reference","previous_headings":"","what":"Capitalizes the characters\nMaking the first letter uppercase — capitalize","title":"Capitalizes the characters\nMaking the first letter uppercase — capitalize","text":"Capitalizes characters Making first letter uppercase","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/capitalize.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Capitalizes the characters\nMaking the first letter uppercase — capitalize","text":"","code":"capitalize(x, force_tolower = FALSE)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/capitalize.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Capitalizes the characters\nMaking the first letter uppercase — capitalize","text":"x vector character strings capitalized. force_tolower Whether force remaining letters lowercase.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/capitalize.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Capitalizes the characters\nMaking the first letter uppercase — capitalize","text":"","code":"x <- c(\"dna methylation\", \"rRNA processing\", \"post-Transcriptional gene silencing\") capitalize(x) #> [1] \"Dna methylation\"                     \"rRNA processing\"                     \"Post-Transcriptional gene silencing\""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_DataType.html","id":null,"dir":"Reference","previous_headings":"","what":"Check and report the type of data — check_DataType","title":"Check and report the type of data — check_DataType","text":"Check report type data","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_DataType.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check and report the type of data — check_DataType","text":"","code":"check_DataType(srt, data = NULL, slot = \"data\", assay = NULL)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_DataType.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check and report the type of data — check_DataType","text":"srt Seurat object data Use data instead getting Seurat object. slot Specific slot get data . assay Specific assay get data .","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_Python.html","id":null,"dir":"Reference","previous_headings":"","what":"Check and install python packages — check_Python","title":"Check and install python packages — check_Python","text":"Check install python packages","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_Python.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check and install python packages — check_Python","text":"","code":"check_Python(   packages,   envname = NULL,   conda = \"auto\",   force = FALSE,   pip = TRUE,   pip_options = character(),   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_Python.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check and install python packages — check_Python","text":"packages character vector, indicating package names installed removed. Use ⁠==⁠ request installation specific version package. envname name conda environment. conda path conda executable. Use \"auto\" allow SCP automatically find appropriate conda binary. force Whether force package installation. Default FALSE. pip Whether use pip package installation. default, packages installed active conda channels. pip_options optional character vector additional command line arguments passed pip. relevant pip = TRUE. ... arguments passed conda_install","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_Python.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Check and install python packages — check_Python","text":"","code":"check_Python(packages = c(\"bbknn\", \"scanorama\")) #> Try to install bbknn,scanorama ... if (FALSE) { check_Python(packages = \"scvi-tools==0.20.0\", envname = \"SCP_env\", pip_options = \"-i https://pypi.tuna.tsinghua.edu.cn/simple\") }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_R.html","id":null,"dir":"Reference","previous_headings":"","what":"Check and install R packages — check_R","title":"Check and install R packages — check_R","text":"Check install R packages","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_R.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check and install R packages — check_R","text":"","code":"check_R(   packages,   package_names = NULL,   install_methods = c(\"BiocManager::install\", \"install.packages\",     \"devtools::install_github\"),   lib = .libPaths()[1],   force = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_R.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check and install R packages — check_R","text":"packages Package installed. Package source can CRAN, Bioconductor Github, e.g. scmap, davidsjoberg/ggsankey. package_names name package corresponds packages parameter, used check package already installed. default, package name extracted according packages parameter. install_methods Functions used install R packages. lib location library directories install packages. force Whether force installation packages. Default FALSE.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_srtList.html","id":null,"dir":"Reference","previous_headings":"","what":"Check and preprocess a list of seurat objects — check_srtList","title":"Check and preprocess a list of seurat objects — check_srtList","text":"Check preprocess list seurat objects","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_srtList.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check and preprocess a list of seurat objects — check_srtList","text":"","code":"check_srtList(   srtList,   batch = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   vars_to_regress = NULL,   seed = 11,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_srtList.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check and preprocess a list of seurat objects — check_srtList","text":"srtList list Seurat object. batch Metadata column name containing batch information. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. vars_to_regress Variables regress . seed Set random seed. ...","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_srtMerge.html","id":null,"dir":"Reference","previous_headings":"","what":"Check and preprocess a merged seurat object — check_srtMerge","title":"Check and preprocess a merged seurat object — check_srtMerge","text":"Check preprocess merged seurat object","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_srtMerge.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check and preprocess a merged seurat object — check_srtMerge","text":"","code":"check_srtMerge(   srtMerge,   batch = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   vars_to_regress = NULL,   seed = 11,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/check_srtMerge.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check and preprocess a merged seurat object — check_srtMerge","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. vars_to_regress Variables regress . seed Set random seed. ...","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/compute_velocity_on_grid.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute velocity on grid\nThe original python code is on https://github.com/theislab/scvelo/blob/master/scvelo/plotting/velocity_embedding_grid.py — compute_velocity_on_grid","title":"Compute velocity on grid\nThe original python code is on https://github.com/theislab/scvelo/blob/master/scvelo/plotting/velocity_embedding_grid.py — compute_velocity_on_grid","text":"Compute velocity grid original python code https://github.com/theislab/scvelo/blob/master/scvelo/plotting/velocity_embedding_grid.py","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/compute_velocity_on_grid.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute velocity on grid\nThe original python code is on https://github.com/theislab/scvelo/blob/master/scvelo/plotting/velocity_embedding_grid.py — compute_velocity_on_grid","text":"","code":"compute_velocity_on_grid(   X_emb,   V_emb,   density = NULL,   smooth = NULL,   n_neighbors = NULL,   min_mass = NULL,   scale = 1,   adjust_for_stream = FALSE,   cutoff_perc = NULL )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/compute_velocity_on_grid.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute velocity on grid\nThe original python code is on https://github.com/theislab/scvelo/blob/master/scvelo/plotting/velocity_embedding_grid.py — compute_velocity_on_grid","text":"cutoff_perc","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/conda_install.html","id":null,"dir":"Reference","previous_headings":"","what":"Installs a list of packages into a specified conda environment — conda_install","title":"Installs a list of packages into a specified conda environment — conda_install","text":"Installs list packages specified conda environment","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/conda_install.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Installs a list of packages into a specified conda environment — conda_install","text":"","code":"conda_install(   envname = NULL,   packages,   forge = TRUE,   channel = character(),   pip = FALSE,   pip_options = character(),   pip_ignore_installed = FALSE,   conda = \"auto\",   python_version = NULL,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/conda_install.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Installs a list of packages into a specified conda environment — conda_install","text":"envname name , path , conda environment. packages character vector, indicating package names installed removed. Use  == request installation specific version package. NULL value conda_remove() interpretted \"--\", removing entire environment. forge Boolean; include conda-forge repository? channel optional character vector conda channels include. specified, forge argument ignored. need specify multiple channels, including conda forge, can use c(\"conda-forge\", ). pip Boolean; use pip package installation? default, packages installed active conda channels. pip_options optional character vector additional command line arguments passed pip. relevant pip = TRUE. pip_ignore_installed Ignore already-installed versions using pip? (defaults FALSE). Set TRUE specific package versions can installed even downgrades. FALSE option useful situations want pip install attempt overwrite conda binary package (e.g. SciPy Windows difficult install via pip due compilation requirements). conda path conda executable. Use \"auto\" allow reticulate automatically find appropriate conda binary. See Finding Conda conda_binary() details. python_version version Python installed. Set like change version Python associated particular conda environment. ... Optional arguments, reserved future expansion.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/conda_python.html","id":null,"dir":"Reference","previous_headings":"","what":"Find the path to Python associated with a conda environment — conda_python","title":"Find the path to Python associated with a conda environment — conda_python","text":"Find path Python associated conda environment","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/conda_python.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Find the path to Python associated with a conda environment — conda_python","text":"","code":"conda_python(envname = NULL, conda = \"auto\", all = FALSE)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/conda_python.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Find the path to Python associated with a conda environment — conda_python","text":"envname name , path , conda environment. conda path conda executable. Use \"auto\" allow reticulate automatically find appropriate conda binary. See Finding Conda conda_binary() details. Boolean; report instances Python found?","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_DoubletDetection.html","id":null,"dir":"Reference","previous_headings":"","what":"Run doublet-calling with DoubletDetection — db_DoubletDetection","title":"Run doublet-calling with DoubletDetection — db_DoubletDetection","text":"Run doublet-calling DoubletDetection","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_DoubletDetection.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run doublet-calling with DoubletDetection — db_DoubletDetection","text":"","code":"db_DoubletDetection(srt, assay = \"RNA\", db_rate = ncol(srt)/1000 * 0.01, ...)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_DoubletDetection.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run doublet-calling with DoubletDetection — db_DoubletDetection","text":"...","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_DoubletDetection.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run doublet-calling with DoubletDetection — db_DoubletDetection","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- db_DoubletDetection(pancreas_sub) #> Try to install doubletdetection ... CellDimPlot(pancreas_sub, reduction = \"umap\", group.by = \"db.DoubletDetection_class\")  FeatureDimPlot(pancreas_sub, reduction = \"umap\", features = \"db.DoubletDetection_score\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_Scrublet.html","id":null,"dir":"Reference","previous_headings":"","what":"Run doublet-calling with Scrublet — db_Scrublet","title":"Run doublet-calling with Scrublet — db_Scrublet","text":"Run doublet-calling Scrublet","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_Scrublet.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run doublet-calling with Scrublet — db_Scrublet","text":"","code":"db_Scrublet(srt, assay = \"RNA\", db_rate = ncol(srt)/1000 * 0.01, ...)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_Scrublet.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run doublet-calling with Scrublet — db_Scrublet","text":"...","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_Scrublet.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run doublet-calling with Scrublet — db_Scrublet","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- db_Scrublet(pancreas_sub) #> Try to install scrublet ... CellDimPlot(pancreas_sub, reduction = \"umap\", group.by = \"db.Scrublet_class\")  FeatureDimPlot(pancreas_sub, reduction = \"umap\", features = \"db.Scrublet_score\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_scDblFinder.html","id":null,"dir":"Reference","previous_headings":"","what":"Run doublet-calling with scDblFinder — db_scDblFinder","title":"Run doublet-calling with scDblFinder — db_scDblFinder","text":"Run doublet-calling scDblFinder","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_scDblFinder.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run doublet-calling with scDblFinder — db_scDblFinder","text":"","code":"db_scDblFinder(srt, assay = \"RNA\", db_rate = ncol(srt)/1000 * 0.01, ...)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_scDblFinder.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run doublet-calling with scDblFinder — db_scDblFinder","text":"...","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_scDblFinder.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run doublet-calling with scDblFinder — db_scDblFinder","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- db_scDblFinder(pancreas_sub) CellDimPlot(pancreas_sub, reduction = \"umap\", group.by = \"db.scDblFinder_class\")  FeatureDimPlot(pancreas_sub, reduction = \"umap\", features = \"db.scDblFinder_score\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_scds.html","id":null,"dir":"Reference","previous_headings":"","what":"Run doublet-calling with scds — db_scds","title":"Run doublet-calling with scds — db_scds","text":"Run doublet-calling scds","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_scds.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Run doublet-calling with scds — db_scds","text":"","code":"db_scds(   srt,   assay = \"RNA\",   db_rate = ncol(srt)/1000 * 0.01,   method = \"hybrid\",   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_scds.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Run doublet-calling with scds — db_scds","text":"...","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/db_scds.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Run doublet-calling with scds — db_scds","text":"","code":"data(\"pancreas_sub\") pancreas_sub <- db_scds(pancreas_sub, method = \"hybrid\") CellDimPlot(pancreas_sub, reduction = \"umap\", group.by = \"db.scds_hybrid_class\")  FeatureDimPlot(pancreas_sub, reduction = \"umap\", features = \"db.scds_hybrid_score\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/download.html","id":null,"dir":"Reference","previous_headings":"","what":"Download File from the Internet — download","title":"Download File from the Internet — download","text":"Download File Internet","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/download.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Download File from the Internet — download","text":"","code":"download(   url,   destfile,   methods = c(\"auto\", \"wget\", \"libcurl\", \"curl\", \"wininet\", \"internal\"),   quiet = FALSE,   ...,   max_tries = 2 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/download.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Download File from the Internet — download","text":"url character string (longer vector e.g.,     \"libcurl\" method) naming URL resource     downloaded. destfile character string (vector, see url     argument) file path downloaded file     saved.  Tilde-expansion performed. methods Methods used downloading files. default try different download methods turn download successfully completed. quiet TRUE, suppress status messages (),     progress bar. ... arguments passed download.file max_tries Number tries download method.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/drop_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Drop all data in the plot (only one observation is kept) — drop_data","title":"Drop all data in the plot (only one observation is kept) — drop_data","text":"Drop data plot (one observation kept)","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/drop_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Drop all data in the plot (only one observation is kept) — drop_data","text":"","code":"drop_data(p)  # S3 method for ggplot drop_data(p)  # S3 method for patchwork drop_data(p)  # S3 method for default drop_data(p)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/drop_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Drop all data in the plot (only one observation is kept) — drop_data","text":"p patchwork object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/drop_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Drop all data in the plot (only one observation is kept) — drop_data","text":"","code":"library(ggplot2) p <- ggplot(data = mtcars, aes(x = mpg, y = wt, colour = cyl)) +   geom_point() +   scale_x_continuous(limits = c(10, 30)) +   scale_y_continuous(limits = c(1, 6)) +   theme_scp() object.size(p) #> 39064 bytes  p_drop <- drop_data(p) object.size(p_drop) #> 34016 bytes  p / p_drop #> Warning: Removed 4 rows containing missing values (`geom_point()`)."},{"path":"https://zhanghao-njmu.github.io/SCP/reference/env_exist.html","id":null,"dir":"Reference","previous_headings":"","what":"Check if a conda environment exists — env_exist","title":"Check if a conda environment exists — env_exist","text":"Check conda environment exists","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/env_exist.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check if a conda environment exists — env_exist","text":"","code":"env_exist(conda = \"auto\", envname = NULL, envs_dir = NULL)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/env_exist.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check if a conda environment exists — env_exist","text":"conda path conda executable. Use \"auto\" allow SCP automatically find appropriate conda binary. envname name conda environment. envs_dir Directories conda environments located.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/exist_Python_pkgs.html","id":null,"dir":"Reference","previous_headings":"","what":"Check if the python package exists in the environment — exist_Python_pkgs","title":"Check if the python package exists in the environment — exist_Python_pkgs","text":"Check python package exists environment","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/exist_Python_pkgs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check if the python package exists in the environment — exist_Python_pkgs","text":"","code":"exist_Python_pkgs(packages, envname = NULL, conda = \"auto\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/exist_Python_pkgs.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check if the python package exists in the environment — exist_Python_pkgs","text":"packages character vector, indicating package names installed removed. Use ⁠==⁠ request installation specific version package. envname name conda environment. conda path conda executable. Use \"auto\" allow SCP automatically find appropriate conda binary.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/fastMNN_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"fastMNN_integrate — fastMNN_integrate","title":"fastMNN_integrate — fastMNN_integrate","text":"fastMNN_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/fastMNN_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"fastMNN_integrate — fastMNN_integrate","text":"","code":"fastMNN_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   fastMNN_dims_use = NULL,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   fastMNN_params = list(),   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/fastMNN_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"fastMNN_integrate — fastMNN_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/find_conda.html","id":null,"dir":"Reference","previous_headings":"","what":"Find an appropriate conda binary — find_conda","title":"Find an appropriate conda binary — find_conda","text":"Find appropriate conda binary","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/find_conda.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Find an appropriate conda binary — find_conda","text":"","code":"find_conda()"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_alluvial.html","id":null,"dir":"Reference","previous_headings":"","what":"geom_alluvial — geom_alluvial","title":"geom_alluvial — geom_alluvial","text":"Creates alluvial plot visualize flows nodes. observation needs `x` aesthetic well `next_x` column declares observation flow. Also observation `node` `next_node` aesthetic provide information group y-direction.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_alluvial.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"geom_alluvial — geom_alluvial","text":"","code":"geom_alluvial(   mapping = NULL,   data = NULL,   position = \"identity\",   na.rm = FALSE,   show.legend = NA,   space = 0,   width = 0.1,   smooth = 8,   inherit.aes = TRUE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_alluvial.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"geom_alluvial — geom_alluvial","text":"mapping provide mapping. x y need numeric. data provide data position change position na.rm remove missing values show.legend show legend plot space space nodes y-direction width width nodes smooth much smooth curve ? means steeper curve. inherit.aes geom inherits aestethics ... arguments passed geo","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_alluvial.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"geom_alluvial — geom_alluvial","text":"ggplot layer","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_alluvial_label.html","id":null,"dir":"Reference","previous_headings":"","what":"geom_alluvial_label — geom_alluvial_label","title":"geom_alluvial_label — geom_alluvial_label","text":"Creates centered labels text nodes alluvial plot. Needs exact aestethics call `geom_alluvial` work.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_alluvial_label.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"geom_alluvial_label — geom_alluvial_label","text":"","code":"geom_alluvial_text(   mapping = NULL,   data = NULL,   position = \"identity\",   na.rm = FALSE,   show.legend = NA,   space = 0,   width = 0.1,   inherit.aes = TRUE,   ... )  geom_alluvial_label(   mapping = NULL,   data = NULL,   position = \"identity\",   na.rm = FALSE,   show.legend = NA,   space = 0,   width = 0.1,   inherit.aes = TRUE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_alluvial_label.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"geom_alluvial_label — geom_alluvial_label","text":"mapping provide mapping. x y need numeric. data provide data position change position na.rm remove missing values show.legend show legend plot space space nodes y-direction width width nodes inherit.aes geom inherits aestethics ... arguments passed geo","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_alluvial_label.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"geom_alluvial_label — geom_alluvial_label","text":"ggplot layer","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_alluvial_label.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"geom_alluvial_label — geom_alluvial_label","text":"important arguments ; `space` proves space nodes y-direction; `shift` shifts nodes y-direction.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey.html","id":null,"dir":"Reference","previous_headings":"","what":"geom_sankey\n\nCreates a sankey plot which visualize flows between nodes. Each observation needs to have a `x` aesthetic as well as a `next_x` column which declares where that observation should flow.\nAlso each observation should have a `node` and a `next_node` aesthetic which provide information about which group in the y-direction. By default each row of the data frame is counted to calculate the size of flows. A manual flow value can be added with the `value` aesthetic. — geom_sankey","title":"geom_sankey\n\nCreates a sankey plot which visualize flows between nodes. Each observation needs to have a `x` aesthetic as well as a `next_x` column which declares where that observation should flow.\nAlso each observation should have a `node` and a `next_node` aesthetic which provide information about which group in the y-direction. By default each row of the data frame is counted to calculate the size of flows. A manual flow value can be added with the `value` aesthetic. — geom_sankey","text":"geom_sankey Creates sankey plot visualize flows nodes. observation needs `x` aesthetic well `next_x` column declares observation flow. Also observation `node` `next_node` aesthetic provide information group y-direction. default row data frame counted calculate size flows. manual flow value can added `value` aesthetic.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"geom_sankey\n\nCreates a sankey plot which visualize flows between nodes. Each observation needs to have a `x` aesthetic as well as a `next_x` column which declares where that observation should flow.\nAlso each observation should have a `node` and a `next_node` aesthetic which provide information about which group in the y-direction. By default each row of the data frame is counted to calculate the size of flows. A manual flow value can be added with the `value` aesthetic. — geom_sankey","text":"","code":"geom_sankey(   mapping = NULL,   data = NULL,   position = \"identity\",   na.rm = FALSE,   show.legend = NA,   space = NULL,   type = \"sankey\",   width = 0.1,   smooth = 8,   inherit.aes = TRUE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"geom_sankey\n\nCreates a sankey plot which visualize flows between nodes. Each observation needs to have a `x` aesthetic as well as a `next_x` column which declares where that observation should flow.\nAlso each observation should have a `node` and a `next_node` aesthetic which provide information about which group in the y-direction. By default each row of the data frame is counted to calculate the size of flows. A manual flow value can be added with the `value` aesthetic. — geom_sankey","text":"mapping provide mapping. x y need numeric. data provide data position change position na.rm remove missing values show.legend show legend plot space space nodes y-direction type either 'sankey' 'alluvial' width width nodes smooth much smooth curve ? means steeper curve. inherit.aes geom inherits aestethics ... arguments passed geom","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"geom_sankey\n\nCreates a sankey plot which visualize flows between nodes. Each observation needs to have a `x` aesthetic as well as a `next_x` column which declares where that observation should flow.\nAlso each observation should have a `node` and a `next_node` aesthetic which provide information about which group in the y-direction. By default each row of the data frame is counted to calculate the size of flows. A manual flow value can be added with the `value` aesthetic. — geom_sankey","text":"ggplot layer","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey.html","id":"aesthetics","dir":"Reference","previous_headings":"","what":"Aesthetics","title":"geom_sankey\n\nCreates a sankey plot which visualize flows between nodes. Each observation needs to have a `x` aesthetic as well as a `next_x` column which declares where that observation should flow.\nAlso each observation should have a `node` and a `next_node` aesthetic which provide information about which group in the y-direction. By default each row of the data frame is counted to calculate the size of flows. A manual flow value can be added with the `value` aesthetic. — geom_sankey","text":"geom_sankey understand following aesthetics (required aesthetics bold): - **x0** - **y0** - **** - **b** - **angle** - m1 - m2 - color - fill - size - linetype - alpha - lineend","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey_bump.html","id":null,"dir":"Reference","previous_headings":"","what":"geom_sankey_bump — geom_sankey_bump","title":"geom_sankey_bump — geom_sankey_bump","text":"Creates alluvial plot visualize flows nodes. observation needs `x` aesthetic well `next_x` column declares observation flow. Also observation `node` `next_node` aesthetic provide information group y-direction.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey_bump.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"geom_sankey_bump — geom_sankey_bump","text":"","code":"geom_sankey_bump(   mapping = NULL,   data = NULL,   position = \"identity\",   na.rm = FALSE,   show.legend = NA,   smooth = 8,   type = \"sankey\",   inherit.aes = TRUE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey_bump.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"geom_sankey_bump — geom_sankey_bump","text":"mapping provide mapping. x y need numeric. data provide data position change position na.rm remove missing values show.legend show legend plot smooth much smooth curve ? means steeper curve. type either 'sankey' 'alluvial' inherit.aes geom inherits aestethics ... arguments passed geo","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey_bump.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"geom_sankey_bump — geom_sankey_bump","text":"ggplot layer","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey_bump.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"geom_sankey_bump — geom_sankey_bump","text":"important arguments ; `space` proves space nodes y-direction; `shift` shifts nodes y-direction.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey_label.html","id":null,"dir":"Reference","previous_headings":"","what":"geom_sankey_label — geom_sankey_label","title":"geom_sankey_label — geom_sankey_label","text":"Creates centered labels text nodes sankey plot. Needs exact aestethics call `geom_sankey` work.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey_label.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"geom_sankey_label — geom_sankey_label","text":"","code":"geom_sankey_label(   mapping = NULL,   data = NULL,   position = \"identity\",   na.rm = FALSE,   show.legend = NA,   space = NULL,   type = \"sankey\",   width = 0.1,   inherit.aes = TRUE,   ... )  geom_sankey_text(   mapping = NULL,   data = NULL,   position = \"identity\",   na.rm = FALSE,   show.legend = NA,   space = NULL,   type = \"sankey\",   width = 0.1,   inherit.aes = TRUE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey_label.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"geom_sankey_label — geom_sankey_label","text":"mapping provide mapping. x y need numeric. data provide data position change position na.rm remove missing values show.legend show legend plot space space nodes y-direction type Either `sankey` centers aroudn x axis `alluvial` starts y = 0 moves upward. width width nodes inherit.aes geom inherits aestethics ... arguments passed geo","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/geom_sankey_label.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"geom_sankey_label — geom_sankey_label","text":"ggplot layer","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/get_vars.html","id":null,"dir":"Reference","previous_headings":"","what":"Get used vars in a ggplot object — get_vars","title":"Get used vars in a ggplot object — get_vars","text":"Get used vars ggplot object","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/get_vars.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get used vars in a ggplot object — get_vars","text":"","code":"get_vars(p, reverse, verbose = FALSE)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/get_vars.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get used vars in a ggplot object — get_vars","text":"p ggplot object. reverse TRUE return unused vars. verbose Whether print messages.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ifnb_sub.html","id":null,"dir":"Reference","previous_headings":"","what":"A subsetted version of 'ifnb' datasets — ifnb_sub","title":"A subsetted version of 'ifnb' datasets — ifnb_sub","text":"Human PBMC control/IFNB-stimulated dataset","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ifnb_sub.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"A subsetted version of 'ifnb' datasets — ifnb_sub","text":"","code":"ifnb_sub"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ifnb_sub.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"A subsetted version of 'ifnb' datasets — ifnb_sub","text":"Seurat object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ifnb_sub.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"A subsetted version of 'ifnb' datasets — ifnb_sub","text":"https://www.nature.com/articles/nbt.4042","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/ifnb_sub.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"A subsetted version of 'ifnb' datasets — ifnb_sub","text":"","code":"if (FALSE) { if (interactive()) {   if (!require(\"SeuratData\", quietly = TRUE)) {     devtools::install_github(\"satijalab/seurat-data\")   }   library(SeuratData)   library(Seurat)   suppressWarnings(InstallData(\"ifnb\"))   data(\"ifnb\")   set.seed(11)   cells_sub <- unlist(lapply(split(colnames(ifnb), ifnb$stim), function(x) sample(x, size = 1000)))   ifnb_sub <- subset(ifnb, cells = cells_sub)   ifnb_sub <- ifnb_sub[rowSums(ifnb_sub@assays$RNA@counts) > 0, ]   ifnb_sub <- UpdateSeuratObject(ifnb_sub)   # usethis::use_data(ifnb_sub, compress = \"xz\") } }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/installed_Python_pkgs.html","id":null,"dir":"Reference","previous_headings":"","what":"Show all the python packages in the environment — installed_Python_pkgs","title":"Show all the python packages in the environment — installed_Python_pkgs","text":"Show python packages environment","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/installed_Python_pkgs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Show all the python packages in the environment — installed_Python_pkgs","text":"","code":"installed_Python_pkgs(envname = NULL, conda = \"auto\")"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/installed_Python_pkgs.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Show all the python packages in the environment — installed_Python_pkgs","text":"envname name conda environment. conda path conda executable. Use \"auto\" allow SCP automatically find appropriate conda binary.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/invoke.html","id":null,"dir":"Reference","previous_headings":"","what":"Invoke a function with a list of arguments — invoke","title":"Invoke a function with a list of arguments — invoke","text":"Invoke function list arguments","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/invoke.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Invoke a function with a list of arguments — invoke","text":"","code":"invoke(.fn, .args = list(), ..., .env = caller_env())"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/invoke.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Invoke a function with a list of arguments — invoke","text":".fn function, function name string. .args list arguments. .env Environment evaluate call. useful .fn string, function side-effects. arguments passed function.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/isOutlier.html","id":null,"dir":"Reference","previous_headings":"","what":"Detect outliers using MAD(Median and Median Absolute Deviation) method — isOutlier","title":"Detect outliers using MAD(Median and Median Absolute Deviation) method — isOutlier","text":"Detect outliers using MAD(Median Median Absolute Deviation) method","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/isOutlier.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Detect outliers using MAD(Median and Median Absolute Deviation) method — isOutlier","text":"","code":"isOutlier(   x,   nmads = 2.5,   constant = 1.4826,   type = c(\"both\", \"lower\", \"higher\") )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/isOutlier.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Detect outliers using MAD(Median and Median Absolute Deviation) method — isOutlier","text":"type","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/iterchunks.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate a iterator along chunks of a vector — iterchunks","title":"Generate a iterator along chunks of a vector — iterchunks","text":"Generate iterator along chunks vector","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/iterchunks.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate a iterator along chunks of a vector — iterchunks","text":"","code":"iterchunks(x, nchunks)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/iterchunks.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate a iterator along chunks of a vector — iterchunks","text":"x vector. nchunks Number chunks.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/iterchunks.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Generate a iterator along chunks of a vector — iterchunks","text":"","code":"if (FALSE) { library(BiocParallel) x <- 1:100 BPPARAM <- bpparam() bpprogressbar(BPPARAM) <- TRUE bpworkers(BPPARAM) <- 10 slow_fun <- function(x) {   out <- NULL   for (i in seq_along(x)) {     Sys.sleep(0.5)     out[[i]] <- x[[i]] + 3   }   return(out) } system.time({   res0 <- lapply(x, FUN = slow_fun) }) unlist(res0, recursive = FALSE, use.names = FALSE)[71:73] system.time({   res1 <- bplapply(x, FUN = slow_fun, BPPARAM = BPPARAM) }) unlist(res1, recursive = FALSE, use.names = FALSE)[71:73] system.time({   res2 <- bplapply(tochunks(x, nchunks = bpworkers(BPPARAM)), FUN = slow_fun, BPPARAM = BPPARAM) }) unlist(res2, recursive = FALSE, use.names = FALSE)[71:73] system.time({   res3 <- bpiterate(ITER = iterchunks(x, nchunks = bpworkers(BPPARAM)), FUN = slow_fun, BPPARAM = BPPARAM) }) unlist(res3, recursive = FALSE, use.names = FALSE)[71:73] }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/make_long.html","id":null,"dir":"Reference","previous_headings":"","what":"make_long — make_long","title":"make_long — make_long","text":"Prepares 'wide' data frame format `geom_sankey` `geom_alluvial` understands. Useful show flows dimensions dataset.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/make_long.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"make_long — make_long","text":"","code":"make_long(.df, ..., value = NULL)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/make_long.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"make_long — make_long","text":".df data frame ... unquoted columnnames df want include plot. value row weight weight kept providing column name weight.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/make_long.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"make_long — make_long","text":"longer data frame","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/palette_scp.html","id":null,"dir":"Reference","previous_headings":"","what":"Color palettes collected in SCP. — palette_scp","title":"Color palettes collected in SCP. — palette_scp","text":"Color palettes collected SCP.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/palette_scp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Color palettes collected in SCP. — palette_scp","text":"","code":"palette_scp(   x,   n = 100,   palette = \"Paired\",   palcolor = NULL,   type = \"auto\",   matched = FALSE,   reverse = FALSE,   NA_keep = FALSE,   NA_color = \"grey80\" )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/palette_scp.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Color palettes collected in SCP. — palette_scp","text":"x vector character/factor numeric values. missing, numeric values 1:n used x. n number colors return numeric values. palette Palette name. available palette names can queried show_palettes(). palcolor Custom colors used create color palette. type Type x. Can one \"auto\", \"discrete\" \"continuous\". default \"auto\", automatically detects x numeric value. matched TRUE, return color vector length x. reverse Whether invert colors. NA_keep Whether keep color assignment NA x. NA_color Color assigned NA NA_keep TRUE.","code":""},{"path":[]},{"path":"https://zhanghao-njmu.github.io/SCP/reference/palette_scp.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Color palettes collected in SCP. — palette_scp","text":"","code":"x <- c(1:3, NA, 3:5) (pal1 <- palette_scp(x, palette = \"Spectral\")) #>    [1,1.04] (1.04,1.08] (1.08,1.12] (1.12,1.16]  (1.16,1.2]  (1.2,1.24] (1.24,1.28] (1.28,1.32] (1.32,1.36]  (1.36,1.4]  #>   \"#5E4FA2\"   \"#5954A4\"   \"#555AA7\"   \"#5060AA\"   \"#4C66AC\"   \"#476BAF\"   \"#4371B2\"   \"#3E77B5\"   \"#3A7DB7\"   \"#3682BA\"  #>  (1.4,1.44] (1.44,1.48] (1.48,1.52] (1.52,1.56]  (1.56,1.6]  (1.6,1.64] (1.64,1.68] (1.68,1.72] (1.72,1.76]  (1.76,1.8]  #>   \"#3288BC\"   \"#378EBA\"   \"#3D94B7\"   \"#429AB5\"   \"#47A0B3\"   \"#4CA5B0\"   \"#52ABAE\"   \"#57B1AB\"   \"#5CB7A9\"   \"#61BDA6\"  #>  (1.8,1.84] (1.84,1.88] (1.88,1.92] (1.92,1.96]    (1.96,2]    (2,2.04] (2.04,2.08] (2.08,2.12] (2.12,2.16]  (2.16,2.2]  #>   \"#67C2A4\"   \"#6EC5A4\"   \"#75C8A4\"   \"#7CCAA4\"   \"#83CDA4\"   \"#8AD0A4\"   \"#91D2A4\"   \"#98D5A4\"   \"#9FD8A4\"   \"#A6DBA4\"  #>  (2.2,2.24] (2.24,2.28] (2.28,2.32] (2.32,2.36]  (2.36,2.4]  (2.4,2.44] (2.44,2.48] (2.48,2.52] (2.52,2.56]  (2.56,2.6]  #>   \"#ACDDA3\"   \"#B2E0A2\"   \"#B8E2A1\"   \"#BEE5A0\"   \"#C4E79E\"   \"#CAE99D\"   \"#D0EC9C\"   \"#D6EE9B\"   \"#DCF199\"   \"#E2F398\"  #>  (2.6,2.64] (2.64,2.68] (2.68,2.72] (2.72,2.76]  (2.76,2.8]  (2.8,2.84] (2.84,2.88] (2.88,2.92] (2.92,2.96]    (2.96,3]  #>   \"#E7F599\"   \"#E9F69D\"   \"#ECF7A1\"   \"#EEF8A5\"   \"#F1F9A9\"   \"#F3FAAD\"   \"#F6FBB1\"   \"#F8FCB5\"   \"#FBFDB9\"   \"#FDFEBD\"  #>    (3,3.04] (3.04,3.08] (3.08,3.12] (3.12,3.16]  (3.16,3.2]  (3.2,3.24] (3.24,3.28] (3.28,3.32] (3.32,3.36]  (3.36,3.4]  #>   \"#FEFDBC\"   \"#FEFAB7\"   \"#FEF7B1\"   \"#FEF4AC\"   \"#FEF0A7\"   \"#FEEDA2\"   \"#FEEA9C\"   \"#FEE797\"   \"#FEE492\"   \"#FEE18D\"  #>  (3.4,3.44] (3.44,3.48] (3.48,3.52] (3.52,3.56]  (3.56,3.6]  (3.6,3.64] (3.64,3.68] (3.68,3.72] (3.72,3.76]  (3.76,3.8]  #>   \"#FDDC88\"   \"#FDD784\"   \"#FDD27F\"   \"#FDCD7B\"   \"#FDC877\"   \"#FDC373\"   \"#FDBE6F\"   \"#FDB96A\"   \"#FDB466\"   \"#FDAF62\"  #>  (3.8,3.84] (3.84,3.88] (3.88,3.92] (3.92,3.96]    (3.96,4]    (4,4.04] (4.04,4.08] (4.08,4.12] (4.12,4.16]  (4.16,4.2]  #>   \"#FCA95E\"   \"#FBA25B\"   \"#FA9C58\"   \"#F99555\"   \"#F88F52\"   \"#F7884F\"   \"#F6824C\"   \"#F67B49\"   \"#F57446\"   \"#F46E43\"  #>  (4.2,4.24] (4.24,4.28] (4.28,4.32] (4.32,4.36]  (4.36,4.4]  (4.4,4.44] (4.44,4.48] (4.48,4.52] (4.52,4.56]  (4.56,4.6]  #>   \"#F16943\"   \"#EE6445\"   \"#EB5F46\"   \"#E85A47\"   \"#E45648\"   \"#E1514A\"   \"#DE4C4B\"   \"#DB474C\"   \"#D8434D\"   \"#D53E4E\"  #>  (4.6,4.64] (4.64,4.68] (4.68,4.72] (4.72,4.76]  (4.76,4.8]  (4.8,4.84] (4.84,4.88] (4.88,4.92] (4.92,4.96]    (4.96,5]  #>   \"#CF384D\"   \"#CA324C\"   \"#C42C4B\"   \"#BF2549\"   \"#B91F48\"   \"#B41947\"   \"#AE1345\"   \"#A90D44\"   \"#A30743\"   \"#9E0142\"  (pal2 <- palette_scp(x, palcolor = c(\"red\", \"white\", \"blue\"))) #>    [1,1.04] (1.04,1.08] (1.08,1.12] (1.12,1.16]  (1.16,1.2]  (1.2,1.24] (1.24,1.28] (1.28,1.32] (1.32,1.36]  (1.36,1.4]  #>   \"#FF0000\"   \"#FF0505\"   \"#FF0A0A\"   \"#FF0F0F\"   \"#FF1414\"   \"#FF1919\"   \"#FF1E1E\"   \"#FF2424\"   \"#FF2929\"   \"#FF2E2E\"  #>  (1.4,1.44] (1.44,1.48] (1.48,1.52] (1.52,1.56]  (1.56,1.6]  (1.6,1.64] (1.64,1.68] (1.68,1.72] (1.72,1.76]  (1.76,1.8]  #>   \"#FF3333\"   \"#FF3838\"   \"#FF3D3D\"   \"#FF4242\"   \"#FF4848\"   \"#FF4D4D\"   \"#FF5252\"   \"#FF5757\"   \"#FF5C5C\"   \"#FF6161\"  #>  (1.8,1.84] (1.84,1.88] (1.88,1.92] (1.92,1.96]    (1.96,2]    (2,2.04] (2.04,2.08] (2.08,2.12] (2.12,2.16]  (2.16,2.2]  #>   \"#FF6767\"   \"#FF6C6C\"   \"#FF7171\"   \"#FF7676\"   \"#FF7B7B\"   \"#FF8080\"   \"#FF8585\"   \"#FF8B8B\"   \"#FF9090\"   \"#FF9595\"  #>  (2.2,2.24] (2.24,2.28] (2.28,2.32] (2.32,2.36]  (2.36,2.4]  (2.4,2.44] (2.44,2.48] (2.48,2.52] (2.52,2.56]  (2.56,2.6]  #>   \"#FF9A9A\"   \"#FF9F9F\"   \"#FFA4A4\"   \"#FFAAAA\"   \"#FFAFAF\"   \"#FFB4B4\"   \"#FFB9B9\"   \"#FFBEBE\"   \"#FFC3C3\"   \"#FFC8C8\"  #>  (2.6,2.64] (2.64,2.68] (2.68,2.72] (2.72,2.76]  (2.76,2.8]  (2.8,2.84] (2.84,2.88] (2.88,2.92] (2.92,2.96]    (2.96,3]  #>   \"#FFCECE\"   \"#FFD3D3\"   \"#FFD8D8\"   \"#FFDDDD\"   \"#FFE2E2\"   \"#FFE7E7\"   \"#FFECEC\"   \"#FFF2F2\"   \"#FFF7F7\"   \"#FFFCFC\"  #>    (3,3.04] (3.04,3.08] (3.08,3.12] (3.12,3.16]  (3.16,3.2]  (3.2,3.24] (3.24,3.28] (3.28,3.32] (3.32,3.36]  (3.36,3.4]  #>   \"#FCFCFF\"   \"#F7F7FF\"   \"#F2F2FF\"   \"#ECECFF\"   \"#E7E7FF\"   \"#E2E2FF\"   \"#DDDDFF\"   \"#D8D8FF\"   \"#D3D3FF\"   \"#CECEFF\"  #>  (3.4,3.44] (3.44,3.48] (3.48,3.52] (3.52,3.56]  (3.56,3.6]  (3.6,3.64] (3.64,3.68] (3.68,3.72] (3.72,3.76]  (3.76,3.8]  #>   \"#C8C8FF\"   \"#C3C3FF\"   \"#BEBEFF\"   \"#B9B9FF\"   \"#B4B4FF\"   \"#AFAFFF\"   \"#A9A9FF\"   \"#A4A4FF\"   \"#9F9FFF\"   \"#9A9AFF\"  #>  (3.8,3.84] (3.84,3.88] (3.88,3.92] (3.92,3.96]    (3.96,4]    (4,4.04] (4.04,4.08] (4.08,4.12] (4.12,4.16]  (4.16,4.2]  #>   \"#9595FF\"   \"#9090FF\"   \"#8B8BFF\"   \"#8585FF\"   \"#8080FF\"   \"#7B7BFF\"   \"#7676FF\"   \"#7171FF\"   \"#6C6CFF\"   \"#6767FF\"  #>  (4.2,4.24] (4.24,4.28] (4.28,4.32] (4.32,4.36]  (4.36,4.4]  (4.4,4.44] (4.44,4.48] (4.48,4.52] (4.52,4.56]  (4.56,4.6]  #>   \"#6161FF\"   \"#5C5CFF\"   \"#5757FF\"   \"#5252FF\"   \"#4D4DFF\"   \"#4848FF\"   \"#4242FF\"   \"#3D3DFF\"   \"#3838FF\"   \"#3333FF\"  #>  (4.6,4.64] (4.64,4.68] (4.68,4.72] (4.72,4.76]  (4.76,4.8]  (4.8,4.84] (4.84,4.88] (4.88,4.92] (4.92,4.96]    (4.96,5]  #>   \"#2E2EFF\"   \"#2929FF\"   \"#2424FF\"   \"#1E1EFF\"   \"#1919FF\"   \"#1414FF\"   \"#0F0FFF\"   \"#0A0AFF\"   \"#0505FF\"   \"#0000FF\"  (pal3 <- palette_scp(x, palette = \"Spectral\", n = 10)) #>   [1,1.4] (1.4,1.8] (1.8,2.2] (2.2,2.6]   (2.6,3]   (3,3.4] (3.4,3.8] (3.8,4.2] (4.2,4.6]   (4.6,5]  #> \"#5E4FA2\" \"#3288BD\" \"#66C2A5\" \"#ABDDA4\" \"#E6F598\" \"#FFFFBF\" \"#FEE08B\" \"#FDAE61\" \"#F46D43\" \"#D53E4F\"  (pal4 <- palette_scp(x, palette = \"Spectral\", n = 10, reverse = TRUE)) #>   (4.6,5] (4.2,4.6] (3.8,4.2] (3.4,3.8]   (3,3.4]   (2.6,3] (2.2,2.6] (1.8,2.2] (1.4,1.8]   [1,1.4]  #> \"#D53E4F\" \"#F46D43\" \"#FDAE61\" \"#FEE08B\" \"#FFFFBF\" \"#E6F598\" \"#ABDDA4\" \"#66C2A5\" \"#3288BD\" \"#5E4FA2\"  (pal5 <- palette_scp(x, palette = \"Spectral\", matched = TRUE)) #>  [1,1.04]  (1.96,2]  (2.96,3]        (2.96,3]  (3.96,4]  (4.96,5]  #> \"#5E4FA2\" \"#83CDA4\" \"#FDFEBD\"        NA \"#FDFEBD\" \"#F88F52\" \"#9E0142\"  (pal6 <- palette_scp(x, palette = \"Spectral\", matched = TRUE, NA_keep = TRUE)) #>  [1,1.04]  (1.96,2]  (2.96,3]        (2.96,3]  (3.96,4]  (4.96,5]  #> \"#5E4FA2\" \"#83CDA4\" \"#FDFEBD\"  \"grey80\" \"#FDFEBD\" \"#F88F52\" \"#9E0142\"  (pal7 <- palette_scp(x, palette = \"Paired\", type = \"discrete\")) #>         1         2         3         4         5  #> \"#A6CEE3\" \"#1F78B4\" \"#B2DF8A\" \"#33A02C\" \"#FDBF6F\"  show_palettes(list(pal1, pal2, pal3, pal4, pal5, pal6, pal7))  #> [1] \"1\" \"2\" \"3\" \"4\" \"5\" \"6\" \"7\"  all_palettes <- show_palettes(return_palettes = TRUE)  names(all_palettes) #>   [1] \"BrBG\"                   \"PiYG\"                   \"PRGn\"                   \"PuOr\"                   #>   [5] \"RdBu\"                   \"RdGy\"                   \"RdYlBu\"                 \"RdYlGn\"                 #>   [9] \"Spectral\"               \"Accent\"                 \"Dark2\"                  \"Paired\"                 #>  [13] \"Pastel1\"                \"Pastel2\"                \"Set1\"                   \"Set2\"                   #>  [17] \"Set3\"                   \"Blues\"                  \"BuGn\"                   \"BuPu\"                   #>  [21] \"GnBu\"                   \"Greens\"                 \"Greys\"                  \"Oranges\"                #>  [25] \"OrRd\"                   \"PuBu\"                   \"PuBuGn\"                 \"PuRd\"                   #>  [29] \"Purples\"                \"RdPu\"                   \"Reds\"                   \"YlGn\"                   #>  [33] \"YlGnBu\"                 \"YlOrBr\"                 \"YlOrRd\"                 \"npg\"                    #>  [37] \"aaas\"                   \"nejm\"                   \"lancet\"                 \"jama\"                   #>  [41] \"jco\"                    \"ucscgb\"                 \"d3-category10\"          \"d3-category20\"          #>  [45] \"d3-category20b\"         \"d3-category20c\"         \"igv\"                    \"locuszoom\"              #>  [49] \"uchicago-default\"       \"uchicago-light\"         \"uchicago-dark\"          \"cosmic\"                 #>  [53] \"simpsons\"               \"futurama\"               \"rickandmorty\"           \"startrek\"               #>  [57] \"tron\"                   \"frontiers\"              \"flatui\"                 \"gsea\"                   #>  [61] \"material-red\"           \"material-pink\"          \"material-purple\"        \"material-deep-purple\"   #>  [65] \"material-indigo\"        \"material-blue\"          \"material-light-blue\"    \"material-cyan\"          #>  [69] \"material-teal\"          \"material-green\"         \"material-light-green\"   \"material-lime\"          #>  [73] \"material-yellow\"        \"material-amber\"         \"material-orange\"        \"material-deep-orange\"   #>  [77] \"material-brown\"         \"material-grey\"          \"material-blue-grey\"     \"dPBIYlBu\"               #>  [81] \"dPBIYlPu\"               \"dPBIPuGn\"               \"dPBIPuOr\"               \"dPBIRdBu\"               #>  [85] \"dPBIRdGy\"               \"dPBIRdGn\"               \"qMSOStd\"                \"qMSO12\"                 #>  [89] \"qMSO15\"                 \"qMSOBuWarm\"             \"qMSOBu\"                 \"qMSOBu2\"                #>  [93] \"qMSOBuGn\"               \"qMSOGn\"                 \"qMSOGnYl\"               \"qMSOYl\"                 #>  [97] \"qMSOYlOr\"               \"qMSOOr\"                 \"qMSOOrRd\"               \"qMSORdOr\"               #> [101] \"qMSORd\"                 \"qMSORdPu\"               \"qMSOPu\"                 \"qMSOPu2\"                #> [105] \"qMSOMed\"                \"qMSOPap\"                \"qMSOMrq\"                \"qMSOSlp\"                #> [109] \"qMSOAsp\"                \"qPBI\"                   \"sPBIGn\"                 \"sPBIGy1\"                #> [113] \"sPBIRd\"                 \"sPBIYl\"                 \"sPBIGy2\"                \"sPBIBu\"                 #> [117] \"sPBIOr\"                 \"sPBIPu\"                 \"sPBIYlGn\"               \"sPBIRdPu\"               #> [121] \"ag_GrnYl\"               \"ag_Sunset\"              \"ArmyRose\"               \"Earth\"                  #> [125] \"Fall\"                   \"Geyser\"                 \"TealRose\"               \"Temps\"                  #> [129] \"Tropic\"                 \"Antique\"                \"Bold\"                   \"Pastel\"                 #> [133] \"Prism\"                  \"Safe\"                   \"Vivid\"                  \"BluGrn\"                 #> [137] \"BluYl\"                  \"BrwnYl\"                 \"Burg\"                   \"BurgYl\"                 #> [141] \"DarkMint\"               \"Emrld\"                  \"Magenta\"                \"Mint\"                   #> [145] \"OrYel\"                  \"Peach\"                  \"PinkYl\"                 \"Purp\"                   #> [149] \"PurpOr\"                 \"RedOr\"                  \"Sunset\"                 \"SunsetDark\"             #> [153] \"Teal\"                   \"TealGrn\"                \"polarnight\"             \"snowstorm\"              #> [157] \"frost\"                  \"aurora\"                 \"lumina\"                 \"mountain_forms\"         #> [161] \"silver_mine\"            \"lake_superior\"          \"victory_bonds\"          \"halifax_harbor\"         #> [165] \"moose_pond\"             \"algoma_forest\"          \"rocky_mountain\"         \"red_mountain\"           #> [169] \"baie_mouton\"            \"afternoon_prarie\"       \"magma\"                  \"inferno\"                #> [173] \"plasma\"                 \"viridis\"                \"cividis\"                \"rocket\"                 #> [177] \"mako\"                   \"turbo\"                  \"ocean.algae\"            \"ocean.deep\"             #> [181] \"ocean.dense\"            \"ocean.gray\"             \"ocean.haline\"           \"ocean.ice\"              #> [185] \"ocean.matter\"           \"ocean.oxy\"              \"ocean.phase\"            \"ocean.solar\"            #> [189] \"ocean.thermal\"          \"ocean.turbid\"           \"ocean.balance\"          \"ocean.curl\"             #> [193] \"ocean.delta\"            \"ocean.amp\"              \"ocean.speed\"            \"ocean.tempo\"            #> [197] \"BrowntoBlue.10\"         \"BrowntoBlue.12\"         \"BluetoDarkOrange.12\"    \"BluetoDarkOrange.18\"    #> [201] \"DarkRedtoBlue.12\"       \"DarkRedtoBlue.18\"       \"BluetoGreen.14\"         \"BluetoGray.8\"           #> [205] \"BluetoOrangeRed.14\"     \"BluetoOrange.10\"        \"BluetoOrange.12\"        \"BluetoOrange.8\"         #> [209] \"LightBluetoDarkBlue.10\" \"LightBluetoDarkBlue.7\"  \"Categorical.12\"         \"GreentoMagenta.16\"      #> [213] \"SteppedSequential.5\"    \"jcolors-default\"        \"jcolors-pal2\"           \"jcolors-pal3\"           #> [217] \"jcolors-pal4\"           \"jcolors-pal5\"           \"jcolors-pal6\"           \"jcolors-pal7\"           #> [221] \"jcolors-pal8\"           \"jcolors-pal9\"           \"jcolors-pal10\"          \"jcolors-pal11\"          #> [225] \"jcolors-pal12\"          \"jcolors-rainbow\"        \"jet\"                    \"simspec\"                #> [229] \"GdRd\"                    if (FALSE) { if (interactive()) {   check_R(c(\"stringr\", \"RColorBrewer\", \"ggsci\", \"Redmonder\", \"rcartocolor\", \"nord\", \"viridis\", \"pals\", \"oompaBase\", \"dichromat\", \"jaredhuling/jcolors\"))   library(stringr)   library(RColorBrewer)   library(ggsci)   library(Redmonder)   library(rcartocolor)   library(nord)   library(viridis)   library(pals)   library(dichromat)   library(jcolors)   brewer.pal.info <- RColorBrewer::brewer.pal.info   ggsci_db <- ggsci:::ggsci_db   redmonder.pal.info <- Redmonder::redmonder.pal.info   metacartocolors <- rcartocolor::metacartocolors   rownames(metacartocolors) <- metacartocolors$Name   nord_palettes <- nord::nord_palettes   viridis_names <- c(\"magma\", \"inferno\", \"plasma\", \"viridis\", \"cividis\", \"rocket\", \"mako\", \"turbo\")   viridis_palettes <- lapply(setNames(viridis_names, viridis_names), function(x) viridis::viridis(100, option = x))   ocean_names <- names(pals:::syspals)[grep(\"ocean\", names(pals:::syspals))]   ocean_palettes <- pals:::syspals[ocean_names]   dichromat_palettes <- dichromat::colorschemes   jcolors_names <- paste0(\"jcolors-\", c(\"default\", \"pal2\", \"pal3\", \"pal4\", \"pal5\", \"pal6\", \"pal7\", \"pal8\", \"pal9\", \"pal10\", \"pal11\", \"pal12\", \"rainbow\"))   custom_names <- c(\"jet\", \"simspec\", \"GdRd\")   custom_palettes <- list(     oompaBase::jetColors(N = 100),     c(\"#c22b86\", \"#f769a1\", \"#fcc5c1\", \"#253777\", \"#1d92c0\", \"#9ec9e1\", \"#015b33\", \"#42aa5e\", \"#d9f0a2\", \"#E66F00\", \"#f18c28\", \"#FFBB61\"),     c(\"gold\", \"red3\")   )   names(custom_palettes) <- custom_names    palette_list <- list()   all_colors <- c(     rownames(brewer.pal.info), names(ggsci_db), rownames(redmonder.pal.info),     rownames(metacartocolors), names(nord_palettes), names(viridis_palettes),     ocean_names, names(dichromat_palettes), jcolors_names,     custom_names   )   for (pal in all_colors) {     if (!pal %in% all_colors) {       stop(paste0(\"Invalid pal Must be one of \", paste0(all_colors, collapse = \",\")))     }     if (pal %in% rownames(brewer.pal.info)) {       pal_n <- brewer.pal.info[pal, \"maxcolors\"]       pal_category <- brewer.pal.info[pal, \"category\"]       if (pal_category == \"div\") {         palcolor <- rev(brewer.pal(name = pal, n = pal_n))       } else {         if (pal == \"Paired\") {           palcolor <- brewer.pal(12, \"Paired\")[c(1:4, 7, 8, 5, 6, 9, 10, 11, 12)]         } else {           palcolor <- brewer.pal(name = pal, n = pal_n)         }       }       if (pal_category == \"qual\") {         attr(palcolor, \"type\") <- \"discrete\"       } else {         attr(palcolor, \"type\") <- \"continuous\"       }     } else if (pal %in% names(ggsci_db)) {       if (pal %in% c(\"d3\", \"uchicago\", \"material\")) {         for (subpal in names(ggsci_db[[pal]])) {           palcolor <- ggsci_db[[pal]][[subpal]]           if (pal == \"material\") {             attr(palcolor, \"type\") <- \"continuous\"           } else {             attr(palcolor, \"type\") <- \"discrete\"           }           palette_list[[paste0(pal, \"-\", subpal)]] <- palcolor         }         next       } else {         palcolor <- ggsci_db[[pal]][[1]]         if (pal == \"gsea\") {           attr(palcolor, \"type\") <- \"continuous\"         } else {           attr(palcolor, \"type\") <- \"discrete\"         }       }     } else if (pal %in% rownames(redmonder.pal.info)) {       pal_n <- redmonder.pal.info[pal, \"maxcolors\"]       pal_category <- redmonder.pal.info[pal, \"category\"]       if (pal_category == \"div\") {         palcolor <- rev(redmonder.pal(name = pal, n = pal_n))       } else {         palcolor <- redmonder.pal(name = pal, n = pal_n)       }       if (pal_category == \"qual\") {         attr(palcolor, \"type\") <- \"discrete\"       } else {         attr(palcolor, \"type\") <- \"continuous\"       }     } else if (pal %in% rownames(metacartocolors)) {       pal_n <- metacartocolors[pal, \"Max_n\"]       palcolor <- carto_pal(name = pal, n = pal_n)       if (pal_category == \"qualitative\") {         attr(palcolor, \"type\") <- \"discrete\"       } else {         attr(palcolor, \"type\") <- \"continuous\"       }     } else if (pal %in% names(nord_palettes)) {       palcolor <- nord_palettes[[pal]]       attr(palcolor, \"type\") <- \"discrete\"     } else if (pal %in% names(viridis_palettes)) {       palcolor <- viridis_palettes[[pal]]       attr(palcolor, \"type\") <- \"continuous\"     } else if (pal %in% names(ocean_palettes)) {       palcolor <- ocean_palettes[[pal]]       attr(palcolor, \"type\") <- \"continuous\"     } else if (pal %in% names(dichromat_palettes)) {       palcolor <- dichromat_palettes[[pal]]       if (pal %in% c(\"Categorical.12\", \"SteppedSequential.5\")) {         attr(palcolor, \"type\") <- \"discrete\"       } else {         attr(palcolor, \"type\") <- \"continuous\"       }     } else if (pal %in% jcolors_names) {       palcolor <- jcolors(palette = gsub(\"jcolors-\", \"\", pal))       if (pal %in% paste0(\"jcolors-\", c(\"pal10\", \"pal11\", \"pal12\", \"rainbow\"))) {         attr(palcolor, \"type\") <- \"continuous\"       } else {         attr(palcolor, \"type\") <- \"discrete\"       }     } else if (pal %in% custom_names) {       palcolor <- custom_palettes[[pal]]       if (pal %in% c(\"jet\")) {         attr(palcolor, \"type\") <- \"continuous\"       } else {         attr(palcolor, \"type\") <- \"discrete\"       }     }     palette_list[[pal]] <- palcolor   }   # usethis::use_data(palette_list, internal = TRUE) } }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panc8_sub.html","id":null,"dir":"Reference","previous_headings":"","what":"A subsetted version of human 'panc8' datasets — panc8_sub","title":"A subsetted version of human 'panc8' datasets — panc8_sub","text":"Human pancreatic islet cell datasets produced across four technologies, CelSeq (GSE81076) CelSeq2 (GSE85241), Fluidigm C1 (GSE86469), SMART-Seq2 (E-MTAB-5061) SeuratData package. data set `panc8`, 200 cells downsampled form panc8_sub dataset.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panc8_sub.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"A subsetted version of human 'panc8' datasets — panc8_sub","text":"","code":"panc8_sub"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panc8_sub.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"A subsetted version of human 'panc8' datasets — panc8_sub","text":"Seurat object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panc8_sub.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"A subsetted version of human 'panc8' datasets — panc8_sub","text":"https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE81076 https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi https://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-5061/ https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panc8_sub.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"A subsetted version of human 'panc8' datasets — panc8_sub","text":"","code":"if (FALSE) { if (interactive()) {   data(\"pancreas_sub\")   if (!require(\"SeuratData\", quietly = TRUE)) {     devtools::install_github(\"satijalab/seurat-data\")   }   library(SeuratData)   library(Seurat)   suppressWarnings(InstallData(\"panc8\"))   data(\"panc8\")   set.seed(11)   cells_sub <- unlist(lapply(split(colnames(panc8), panc8$dataset), function(x) sample(x, size = 200)))   panc8_sub <- subset(panc8, cells = cells_sub)   panc8_sub <- panc8_sub[rowSums(panc8_sub@assays$RNA@counts) > 0, ]   panc8_sub <- panc8_sub[toupper(rownames(panc8_sub)) %in% toupper(rownames(pancreas_sub)), ]   panc8_sub <- UpdateSeuratObject(panc8_sub)   # usethis::use_data(panc8_sub, compress = \"xz\") } }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/pancreas_sub.html","id":null,"dir":"Reference","previous_headings":"","what":"A subsetted version of mouse 'pancreas' datasets — pancreas_sub","title":"A subsetted version of mouse 'pancreas' datasets — pancreas_sub","text":"Mouse pancreatic endocrinogenesis dataset Bastidas-Ponce et al. (2019). total 1000 cells downsampled form pancreas_sub dataset.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/pancreas_sub.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"A subsetted version of mouse 'pancreas' datasets — pancreas_sub","text":"","code":"pancreas_sub"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/pancreas_sub.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"A subsetted version of mouse 'pancreas' datasets — pancreas_sub","text":"Seurat object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/pancreas_sub.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"A subsetted version of mouse 'pancreas' datasets — pancreas_sub","text":"https://scvelo.readthedocs.io/scvelo.datasets.pancreas/ https://github.com/theislab/scvelo_notebooks/raw/master/data/Pancreas/endocrinogenesis_day15.h5ad","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/pancreas_sub.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"A subsetted version of mouse 'pancreas' datasets — pancreas_sub","text":"","code":"if (FALSE) { if (interactive()) {   library(Seurat)   library(reticulate)   check_Python(\"scvelo\")   scv <- import(\"scvelo\")   adata <- scv$datasets$pancreas()   pancreas <- adata_to_srt(adata)   set.seed(11)   pancreas_sub <- subset(pancreas, cells = sample(colnames(pancreas), size = 1000))   pancreas_sub <- pancreas_sub[rowSums(pancreas_sub@assays$RNA@counts) > 0, ]   pancreas_sub[[\"CellType\"]] <- pancreas_sub[[\"clusters_coarse\"]]   pancreas_sub[[\"SubCellType\"]] <- pancreas_sub[[\"clusters\"]]   pancreas_sub[[\"clusters_coarse\"]] <- pancreas_sub[[\"clusters\"]] <- NULL   pancreas_sub[[\"Phase\"]] <- ifelse(pancreas_sub$S_score > pancreas_sub$G2M_score, \"S\", \"G2M\")   pancreas_sub[[\"Phase\"]][apply(pancreas_sub[[]][, c(\"S_score\", \"G2M_score\")], 1, max) < 0, ] <- \"G1\"   pancreas_sub[[\"Phase\", drop = TRUE]] <- factor(pancreas_sub[[\"Phase\", drop = TRUE]], levels = c(\"G1\", \"S\", \"G2M\"))   pancreas_sub[[\"PCA\"]] <- pancreas_sub[[\"X_pca\"]]   pancreas_sub[[\"UMAP\"]] <- pancreas_sub[[\"X_umap\"]]   pancreas_sub[[\"X_umap\"]] <- pancreas_sub[[\"X_pca\"]] <- NULL   VariableFeatures(pancreas_sub) <- rownames(pancreas_sub[[\"RNA\"]])[which(pancreas_sub[[\"RNA\"]]@meta.features$highly_variable_genes == \"True\")]   # usethis::use_data(pancreas_sub, compress = \"xz\") } }"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panel_fix.html","id":null,"dir":"Reference","previous_headings":"","what":"Set the panel width/height of a plot object to a fixed value. — panel_fix","title":"Set the panel width/height of a plot object to a fixed value. — panel_fix","text":"ggplot object, stored, can specify height width entire plot, panel. latter obviously important control final result plot. function can set panel width/height plot fixed value rasterize .","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panel_fix.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set the panel width/height of a plot object to a fixed value. — panel_fix","text":"","code":"panel_fix(   x = NULL,   panel_index = NULL,   respect = NULL,   width = NULL,   height = NULL,   margin = 1,   padding = 0,   units = \"in\",   raster = FALSE,   dpi = 300,   BPPARAM = BiocParallel::SerialParam(),   return_grob = FALSE,   bg_color = \"white\",   save = NULL,   verbose = FALSE,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panel_fix.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set the panel width/height of a plot object to a fixed value. — panel_fix","text":"x ggplot object, grob object, combined plot made patchwork cowplot package. panel_index Specify panel fixed. NULL, fix panels. respect logical, indicates whether row heights column widths respect . width width panel. height height panel. margin Margins around plot. units units height, width margin given. Can mm, cm, , etc. See unit. raster Whether rasterize panel. dpi Plot resolution. BPPARAM BiocParallelParam instance determining parallel back-end used building object made patchwork package. return_grob TRUE return grob object instead wrapped patchwork object. bg_color Plot background color. save NULL file name used save plot. verbose Whether print messages. ...","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panel_fix.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set the panel width/height of a plot object to a fixed value. — panel_fix","text":"","code":"library(ggplot2) p <- ggplot(data = mtcars, aes(x = mpg, y = wt, colour = cyl)) +   geom_point() +   facet_wrap(~gear, nrow = 2) # fix the size of panel panel_fix(p, width = 5, height = 3, units = \"cm\")  # rasterize the panel panel_fix(p, width = 5, height = 3, units = \"cm\", raster = TRUE, dpi = 30)   # panel_fix will build and render the plot when the input is a ggplot object. # so after panel_fix, the size of the object will be changed. object.size(p) #> 13984 bytes object.size(panel_fix(p, width = 5, height = 3, units = \"cm\")) #> 1398888 bytes  ## save the plot with appropriate size # p_fix <- panel_fix(p, width = 5, height = 3, units = \"cm\") # plot_size <- attr(p_fix, \"size\") # ggsave( #   filename = \"p_fix.png\", plot = p_fix, #   units = plot_size$units, width = plot_size$width, height = plot_size$height # ) ## or save the plot directly # p_fix <- panel_fix(p, width = 5, height = 3, units = \"cm\", save = \"p_fix.png\")  # fix the panel of the plot combined by patchwork data(\"pancreas_sub\") p1 <- CellDimPlot(pancreas_sub, \"Phase\", aspect.ratio = 1) # ggplot object p2 <- FeatureDimPlot(pancreas_sub, \"Ins1\", aspect.ratio = 0.5) # ggplot object p <- p1 / p2 # plot is combined by patchwork # fix the panel size for each plot, the width will be calculated automatically based on aspect.ratio panel_fix(p, height = 1)   # fix the panel of the plot combined by plot_grid library(cowplot) #>  #> Attaching package: ‘cowplot’ #> The following object is masked from ‘package:ggpubr’: #>  #>     get_legend p1 <- CellDimPlot(pancreas_sub, c(\"Phase\", \"SubCellType\"), label = TRUE) # plot is combined by patchwork p2 <- FeatureDimPlot(pancreas_sub, c(\"Ins1\", \"Gcg\"), label = TRUE) # plot is combined by patchwork p <- plot_grid(p1, p2, nrow = 2) # plot is combined by plot_grid # fix the size of panel for each plot panel_fix(p, height = 1)  # rasterize the panel while keeping all labels and text in vector format panel_fix(p, height = 1, raster = TRUE, dpi = 30)   # fix the panel of the heatmap ht1 <- GroupHeatmap(pancreas_sub,   features = c(     \"Sox9\", \"Anxa2\", \"Bicc1\", # Ductal     \"Neurog3\", \"Hes6\", # EPs     \"Fev\", \"Neurod1\", # Pre-endocrine     \"Rbp4\", \"Pyy\", # Endocrine     \"Ins1\", \"Gcg\", \"Sst\", \"Ghrl\" # Beta, Alpha, Delta, Epsilon   ),   group.by = c(\"CellType\", \"SubCellType\"),   show_row_names = TRUE ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. # the size of the heatmap is not fixed and can be resized by zooming the viewport. ht1$plot  # fix the size of the heatmap according the current viewport panel_fix(ht1$plot)  # rasterize the heatmap body panel_fix(ht1$plot, raster = TRUE, dpi = 30)  # fix the size of overall heatmap including annotation and legend panel_fix(ht1$plot, height = 4, width = 6)   ht2 <- GroupHeatmap(pancreas_sub,   features = pancreas_sub[[\"RNA\"]]@var.features,   group.by = \"SubCellType\",   n_split = 5, nlabel = 20,   db = \"GO_BP\", species = \"Mus_musculus\", anno_terms = TRUE,   height = 4, width = 1 # Heatmap body size for two groups ) #> 'magick' package is suggested to install to give better rasterization. #>  #> Set `ht_opt$message = FALSE` to turn off this message. #> [2023-09-08 17:24:54.016719] Start Enrichment #> Workers: 1 #> Species: Mus_musculus #> Loading cached db: GO_BP version:3.17.0 nterm:16027 created:2023-09-08 15:30:55.528871 #> Permform enrichment... #>    |                                                                                                                       |                                                                                                              |   0%   |                                                                                                                       |==============================================================================================================| 100% #>  #> [2023-09-08 17:26:31.71002] Enrichment done #> Elapsed time:1.63 mins #> The size of the heatmap will be fixed as some elements are not scalable. # the size of the heatmap is already fixed ht2$plot  # when no height/width is specified, panel_fix does not change the size of the heatmap. panel_fix(ht2$plot)  # rasterize the heatmap body panel_fix(ht2$plot, raster = TRUE, dpi = 30)  # however, gene labels on the left and enrichment annotations on the right cannot be adjusted panel_fix(ht2$plot, height = 5, width = 10)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panel_fix_single.html","id":null,"dir":"Reference","previous_headings":"","what":"Fix the width/height of panels in a single plot object. — panel_fix_single","title":"Fix the width/height of panels in a single plot object. — panel_fix_single","text":"Fix width/height panels single plot object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panel_fix_single.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fix the width/height of panels in a single plot object. — panel_fix_single","text":"","code":"panel_fix_single(   x,   panel_index = NULL,   respect = NULL,   width = NULL,   height = NULL,   margin = 1,   units = \"in\",   raster = FALSE,   dpi = 300,   BPPARAM = BiocParallel::SerialParam(),   return_grob = FALSE,   bg_color = \"white\",   save = NULL,   verbose = TRUE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/panel_fix_single.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fix the width/height of panels in a single plot object. — panel_fix_single","text":"x ggplot object, grob object, combined plot made patchwork cowplot package. panel_index Specify panel fixed. NULL, fix panels. respect logical, indicates whether row heights column widths respect . width width panel. height height panel. margin Margins around plot. units units height, width margin given. Can mm, cm, , etc. See unit. raster Whether rasterize panel. dpi Plot resolution. BPPARAM BiocParallelParam instance determining parallel back-end used building object made patchwork package. return_grob TRUE return grob object instead wrapped patchwork object. bg_color Plot background color. save NULL file name used save plot. verbose Whether print messages.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/scVI_integrate.html","id":null,"dir":"Reference","previous_headings":"","what":"scVI_integrate — scVI_integrate","title":"scVI_integrate — scVI_integrate","text":"scVI_integrate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/scVI_integrate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"scVI_integrate — scVI_integrate","text":"","code":"scVI_integrate(   srtMerge = NULL,   batch = NULL,   append = TRUE,   srtList = NULL,   assay = NULL,   do_normalization = NULL,   normalization_method = \"LogNormalize\",   do_HVF_finding = TRUE,   HVF_source = \"separate\",   HVF_method = \"vst\",   nHVF = 2000,   HVF_min_intersection = 1,   HVF = NULL,   scVI_dims_use = NULL,   nonlinear_reduction = \"umap\",   nonlinear_reduction_dims = c(2, 3),   nonlinear_reduction_params = list(),   force_nonlinear_reduction = TRUE,   neighbor_metric = \"euclidean\",   neighbor_k = 20L,   neighbor_ntrees = 50L,   cluster_algorithm = \"louvain\",   cluster_resolution = 0.6,   cluster_reorder = TRUE,   model = \"SCVI\",   SCVI_params = list(),   PEAKVI_params = list(),   num_threads = 8,   seed = 11 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/scVI_integrate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"scVI_integrate — scVI_integrate","text":"srtMerge merged Seurat object batch information. batch Metadata column name containing batch information. append Whether append results srtMerge. valid srtMerge provided. srtList list Seurat object. do_normalization Whether normalize data. NULL, automatically determine. normalization_method Normalization method.Can one \"LogNormalize\", \"SCT\". do_HVF_finding Whether find high variable features(HVF). NULL, automatically determine. HVF_source Source HVF. Can one \"separate\" \"global\". nHVF HVF number use. HVF Custom high variable features. nonlinear_reduction Non-linear reduction method name. Can one \"umap\", \"umap-naive\", \"tsne\", \"dm\", \"phate\", \"pacmap\", \"trimap\", \"largevis\". nonlinear_reduction_dims Dimensions calculate performing non-linear reduction. cluster_algorithm Algorithm modularity optimization finding clusters. Can one \"louvain\", \"slm\", \"leiden\". cluster_resolution Cluster resolution parameter. cluster_reorder Whether reorder cluster names using hierarchical clustering. seed Set random seed.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/segementsDf.html","id":null,"dir":"Reference","previous_headings":"","what":"Shorten and offset the segment — segementsDf","title":"Shorten and offset the segment — segementsDf","text":"Shorten offset segment","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/segementsDf.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Shorten and offset the segment — segementsDf","text":"","code":"segementsDf(data, shorten_start, shorten_end, offset)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/segementsDf.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Shorten and offset the segment — segementsDf","text":"offset","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/segementsDf.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Shorten and offset the segment — segementsDf","text":"","code":"library(ggplot2) tempNodes <- data.frame(\"x\" = c(10, 40), \"y\" = c(10, 30)) data <- data.frame(\"x\" = c(10, 40), \"y\" = c(10, 30), \"xend\" = c(40, 10), \"yend\" = c(30, 10)) ggplot(tempNodes, aes(x = x, y = y)) +   geom_point(size = 12) +   xlim(0, 50) +   ylim(0, 50) +   geom_segment(data = data, aes(x = x, xend = xend, y = y, yend = yend))   ggplot(tempNodes, aes(x = x, y = y)) +   geom_point(size = 12) +   xlim(0, 50) +   ylim(0, 50) +   geom_segment(     data = segementsDf(data, shorten_start = 2, shorten_end = 3, offset = 1),     aes(x = x, xend = xend, y = y, yend = yend)   )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/show_palettes.html","id":null,"dir":"Reference","previous_headings":"","what":"Show the color palettes — show_palettes","title":"Show the color palettes — show_palettes","text":"Show color palettes","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/show_palettes.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Show the color palettes — show_palettes","text":"","code":"show_palettes(   palettes = NULL,   type = c(\"discrete\", \"continuous\"),   index = NULL,   palette_names = NULL,   return_names = TRUE,   return_palettes = FALSE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/show_palettes.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Show the color palettes — show_palettes","text":"palettes list custom color palettes shown. type Specifies type color palettes collected SCP. index index palette SCP palette list. NULL, show palettes collected SCP. palette_names Specifies name color palettes collected SCP. return_names Whether return palette names. return_palettes Whether return palettes.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/show_palettes.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Show the color palettes — show_palettes","text":"","code":"show_palettes(palettes = list(c(\"red\", \"blue\", \"green\"), c(\"yellow\", \"purple\", \"orange\")))  #> [1] \"1\" \"2\" all_palettes <- show_palettes(return_palettes = TRUE)  names(all_palettes) #>   [1] \"BrBG\"                   \"PiYG\"                   \"PRGn\"                   \"PuOr\"                   #>   [5] \"RdBu\"                   \"RdGy\"                   \"RdYlBu\"                 \"RdYlGn\"                 #>   [9] \"Spectral\"               \"Accent\"                 \"Dark2\"                  \"Paired\"                 #>  [13] \"Pastel1\"                \"Pastel2\"                \"Set1\"                   \"Set2\"                   #>  [17] \"Set3\"                   \"Blues\"                  \"BuGn\"                   \"BuPu\"                   #>  [21] \"GnBu\"                   \"Greens\"                 \"Greys\"                  \"Oranges\"                #>  [25] \"OrRd\"                   \"PuBu\"                   \"PuBuGn\"                 \"PuRd\"                   #>  [29] \"Purples\"                \"RdPu\"                   \"Reds\"                   \"YlGn\"                   #>  [33] \"YlGnBu\"                 \"YlOrBr\"                 \"YlOrRd\"                 \"npg\"                    #>  [37] \"aaas\"                   \"nejm\"                   \"lancet\"                 \"jama\"                   #>  [41] \"jco\"                    \"ucscgb\"                 \"d3-category10\"          \"d3-category20\"          #>  [45] \"d3-category20b\"         \"d3-category20c\"         \"igv\"                    \"locuszoom\"              #>  [49] \"uchicago-default\"       \"uchicago-light\"         \"uchicago-dark\"          \"cosmic\"                 #>  [53] \"simpsons\"               \"futurama\"               \"rickandmorty\"           \"startrek\"               #>  [57] \"tron\"                   \"frontiers\"              \"flatui\"                 \"gsea\"                   #>  [61] \"material-red\"           \"material-pink\"          \"material-purple\"        \"material-deep-purple\"   #>  [65] \"material-indigo\"        \"material-blue\"          \"material-light-blue\"    \"material-cyan\"          #>  [69] \"material-teal\"          \"material-green\"         \"material-light-green\"   \"material-lime\"          #>  [73] \"material-yellow\"        \"material-amber\"         \"material-orange\"        \"material-deep-orange\"   #>  [77] \"material-brown\"         \"material-grey\"          \"material-blue-grey\"     \"dPBIYlBu\"               #>  [81] \"dPBIYlPu\"               \"dPBIPuGn\"               \"dPBIPuOr\"               \"dPBIRdBu\"               #>  [85] \"dPBIRdGy\"               \"dPBIRdGn\"               \"qMSOStd\"                \"qMSO12\"                 #>  [89] \"qMSO15\"                 \"qMSOBuWarm\"             \"qMSOBu\"                 \"qMSOBu2\"                #>  [93] \"qMSOBuGn\"               \"qMSOGn\"                 \"qMSOGnYl\"               \"qMSOYl\"                 #>  [97] \"qMSOYlOr\"               \"qMSOOr\"                 \"qMSOOrRd\"               \"qMSORdOr\"               #> [101] \"qMSORd\"                 \"qMSORdPu\"               \"qMSOPu\"                 \"qMSOPu2\"                #> [105] \"qMSOMed\"                \"qMSOPap\"                \"qMSOMrq\"                \"qMSOSlp\"                #> [109] \"qMSOAsp\"                \"qPBI\"                   \"sPBIGn\"                 \"sPBIGy1\"                #> [113] \"sPBIRd\"                 \"sPBIYl\"                 \"sPBIGy2\"                \"sPBIBu\"                 #> [117] \"sPBIOr\"                 \"sPBIPu\"                 \"sPBIYlGn\"               \"sPBIRdPu\"               #> [121] \"ag_GrnYl\"               \"ag_Sunset\"              \"ArmyRose\"               \"Earth\"                  #> [125] \"Fall\"                   \"Geyser\"                 \"TealRose\"               \"Temps\"                  #> [129] \"Tropic\"                 \"Antique\"                \"Bold\"                   \"Pastel\"                 #> [133] \"Prism\"                  \"Safe\"                   \"Vivid\"                  \"BluGrn\"                 #> [137] \"BluYl\"                  \"BrwnYl\"                 \"Burg\"                   \"BurgYl\"                 #> [141] \"DarkMint\"               \"Emrld\"                  \"Magenta\"                \"Mint\"                   #> [145] \"OrYel\"                  \"Peach\"                  \"PinkYl\"                 \"Purp\"                   #> [149] \"PurpOr\"                 \"RedOr\"                  \"Sunset\"                 \"SunsetDark\"             #> [153] \"Teal\"                   \"TealGrn\"                \"polarnight\"             \"snowstorm\"              #> [157] \"frost\"                  \"aurora\"                 \"lumina\"                 \"mountain_forms\"         #> [161] \"silver_mine\"            \"lake_superior\"          \"victory_bonds\"          \"halifax_harbor\"         #> [165] \"moose_pond\"             \"algoma_forest\"          \"rocky_mountain\"         \"red_mountain\"           #> [169] \"baie_mouton\"            \"afternoon_prarie\"       \"magma\"                  \"inferno\"                #> [173] \"plasma\"                 \"viridis\"                \"cividis\"                \"rocket\"                 #> [177] \"mako\"                   \"turbo\"                  \"ocean.algae\"            \"ocean.deep\"             #> [181] \"ocean.dense\"            \"ocean.gray\"             \"ocean.haline\"           \"ocean.ice\"              #> [185] \"ocean.matter\"           \"ocean.oxy\"              \"ocean.phase\"            \"ocean.solar\"            #> [189] \"ocean.thermal\"          \"ocean.turbid\"           \"ocean.balance\"          \"ocean.curl\"             #> [193] \"ocean.delta\"            \"ocean.amp\"              \"ocean.speed\"            \"ocean.tempo\"            #> [197] \"BrowntoBlue.10\"         \"BrowntoBlue.12\"         \"BluetoDarkOrange.12\"    \"BluetoDarkOrange.18\"    #> [201] \"DarkRedtoBlue.12\"       \"DarkRedtoBlue.18\"       \"BluetoGreen.14\"         \"BluetoGray.8\"           #> [205] \"BluetoOrangeRed.14\"     \"BluetoOrange.10\"        \"BluetoOrange.12\"        \"BluetoOrange.8\"         #> [209] \"LightBluetoDarkBlue.10\" \"LightBluetoDarkBlue.7\"  \"Categorical.12\"         \"GreentoMagenta.16\"      #> [213] \"SteppedSequential.5\"    \"jcolors-default\"        \"jcolors-pal2\"           \"jcolors-pal3\"           #> [217] \"jcolors-pal4\"           \"jcolors-pal5\"           \"jcolors-pal6\"           \"jcolors-pal7\"           #> [221] \"jcolors-pal8\"           \"jcolors-pal9\"           \"jcolors-pal10\"          \"jcolors-pal11\"          #> [225] \"jcolors-pal12\"          \"jcolors-rainbow\"        \"jet\"                    \"simspec\"                #> [229] \"GdRd\"                   all_palettes[[\"simspec\"]] #>  [1] \"#c22b86\" \"#f769a1\" \"#fcc5c1\" \"#253777\" \"#1d92c0\" \"#9ec9e1\" \"#015b33\" \"#42aa5e\" \"#d9f0a2\" \"#E66F00\" \"#f18c28\" #> [12] \"#FFBB61\" #> attr(,\"type\") #> [1] \"discrete\" show_palettes(index = 1:10)  #>  [1] \"BrBG\"     \"PiYG\"     \"PRGn\"     \"PuOr\"     \"RdBu\"     \"RdGy\"     \"RdYlBu\"   \"RdYlGn\"   \"Spectral\" \"Accent\"   show_palettes(type = \"discrete\", index = 1:10)  #>  [1] \"Accent\"  \"Dark2\"   \"Paired\"  \"Pastel1\" \"Pastel2\" \"Set1\"    \"Set2\"    \"Set3\"    \"npg\"     \"aaas\"    show_palettes(type = \"continuous\", index = 1:10)  #>  [1] \"BrBG\"     \"PiYG\"     \"PRGn\"     \"PuOr\"     \"RdBu\"     \"RdGy\"     \"RdYlBu\"   \"RdYlGn\"   \"Spectral\" \"Blues\"    show_palettes(palette_names = c(\"Paired\", \"nejm\", \"simspec\", \"Spectral\", \"jet\"), return_palettes = TRUE)  #> $Paired #>  [1] \"#A6CEE3\" \"#1F78B4\" \"#B2DF8A\" \"#33A02C\" \"#FDBF6F\" \"#FF7F00\" \"#FB9A99\" \"#E31A1C\" \"#CAB2D6\" \"#6A3D9A\" \"#FFFF99\" #> [12] \"#B15928\" #> attr(,\"type\") #> [1] \"discrete\" #>  #> $nejm #>      TallPoppy   DeepCerulean           Zest     Eucalyptus WildBlueYonder         Gothic        Salomie     FrenchRose  #>      \"#BC3C29\"      \"#0072B5\"      \"#E18727\"      \"#20854E\"      \"#7876B1\"      \"#6F99AD\"      \"#FFDC91\"      \"#EE4C97\"  #> attr(,\"type\") #> [1] \"discrete\" #>  #> $simspec #>  [1] \"#c22b86\" \"#f769a1\" \"#fcc5c1\" \"#253777\" \"#1d92c0\" \"#9ec9e1\" \"#015b33\" \"#42aa5e\" \"#d9f0a2\" \"#E66F00\" \"#f18c28\" #> [12] \"#FFBB61\" #> attr(,\"type\") #> [1] \"discrete\" #>  #> $Spectral #>  [1] \"#5E4FA2\" \"#3288BD\" \"#66C2A5\" \"#ABDDA4\" \"#E6F598\" \"#FFFFBF\" \"#FEE08B\" \"#FDAE61\" \"#F46D43\" \"#D53E4F\" \"#9E0142\" #> attr(,\"type\") #> [1] \"continuous\" #>  #> $jet #>   [1] \"#00007A\" \"#000085\" \"#00008F\" \"#000099\" \"#0000A3\" \"#0000AD\" \"#0000B8\" \"#0000C2\" \"#0000CC\" \"#0000D6\" \"#0000E0\" #>  [12] \"#0000EB\" \"#0000F5\" \"#0000FF\" \"#000AFF\" \"#0014FF\" \"#001FFF\" \"#0029FF\" \"#0033FF\" \"#003DFF\" \"#0047FF\" \"#0052FF\" #>  [23] \"#005CFF\" \"#0066FF\" \"#0070FF\" \"#007AFF\" \"#0085FF\" \"#008FFF\" \"#0099FF\" \"#00A3FF\" \"#00ADFF\" \"#00B8FF\" \"#00C2FF\" #>  [34] \"#00CCFF\" \"#00D6FF\" \"#00E0FF\" \"#00EBFF\" \"#00F5FF\" \"#00FFFF\" \"#0AFFF5\" \"#14FFEB\" \"#1FFFE0\" \"#29FFD6\" \"#33FFCC\" #>  [45] \"#3DFFC2\" \"#47FFB8\" \"#52FFAD\" \"#5CFFA3\" \"#66FF99\" \"#70FF8F\" \"#7AFF85\" \"#85FF7A\" \"#8FFF70\" \"#99FF66\" \"#A3FF5C\" #>  [56] \"#ADFF52\" \"#B8FF47\" \"#C2FF3D\" \"#CCFF33\" \"#D6FF29\" \"#E0FF1F\" \"#EBFF14\" \"#F5FF0A\" \"#FFFF00\" \"#FFF500\" \"#FFEB00\" #>  [67] \"#FFE000\" \"#FFD600\" \"#FFCC00\" \"#FFC200\" \"#FFB800\" \"#FFAD00\" \"#FFA300\" \"#FF9900\" \"#FF8F00\" \"#FF8500\" \"#FF7A00\" #>  [78] \"#FF7000\" \"#FF6600\" \"#FF5C00\" \"#FF5200\" \"#FF4700\" \"#FF3D00\" \"#FF3300\" \"#FF2900\" \"#FF1F00\" \"#FF1400\" \"#FF0A00\" #>  [89] \"#FF0000\" \"#F50000\" \"#EB0000\" \"#E00000\" \"#D60000\" \"#CC0000\" \"#C20000\" \"#B80000\" \"#AD0000\" \"#A30000\" \"#990000\" #> [100] \"#8F0000\" #> attr(,\"type\") #> [1] \"continuous\" #>"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/slim_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Drop unused data from the plot to reduce the object size — slim_data","title":"Drop unused data from the plot to reduce the object size — slim_data","text":"Drop unused data plot reduce object size","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/slim_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Drop unused data from the plot to reduce the object size — slim_data","text":"","code":"slim_data(p)  # S3 method for ggplot slim_data(p)  # S3 method for patchwork slim_data(p)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/slim_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Drop unused data from the plot to reduce the object size — slim_data","text":"p patchwork object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/slim_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Drop unused data from the plot to reduce the object size — slim_data","text":"","code":"library(ggplot2) p <- ggplot(data = mtcars, aes(x = mpg, y = wt, colour = cyl)) +   geom_point() object.size(p) #> 13984 bytes colnames(p$data) #>  [1] \"mpg\"  \"cyl\"  \"disp\" \"hp\"   \"drat\" \"wt\"   \"qsec\" \"vs\"   \"am\"   \"gear\" \"carb\"  p_slim <- slim_data(p) object.size(p_slim) #> 10912 bytes colnames(p_slim$data) #> [1] \"mpg\" \"cyl\" \"wt\""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/srt_to_adata.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert a seurat object to an anndata object using reticulate — srt_to_adata","title":"Convert a seurat object to an anndata object using reticulate — srt_to_adata","text":"Convert seurat object anndata object using reticulate","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/srt_to_adata.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert a seurat object to an anndata object using reticulate — srt_to_adata","text":"","code":"srt_to_adata(   srt,   features = NULL,   assay_X = \"RNA\",   slot_X = \"counts\",   assay_layers = c(\"spliced\", \"unspliced\"),   slot_layers = \"counts\",   convert_tools = FALSE,   convert_misc = FALSE,   verbose = TRUE )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/srt_to_adata.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert a seurat object to an anndata object using reticulate — srt_to_adata","text":"srt Seurat object. assay_X Assays convert X(main data matrix) anndata object. assay_layers Assays convert layers anndata object. verbose","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/srt_to_adata.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Convert a seurat object to an anndata object using reticulate — srt_to_adata","text":"anndata object.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/srt_to_adata.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Convert a seurat object to an anndata object using reticulate — srt_to_adata","text":"","code":"data(\"pancreas_sub\") adata <- srt_to_adata(pancreas_sub) #> 'misc' slot is not converted. #> 'tools' slot is not converted. adata #> AnnData object with n_obs × n_vars = 1000 × 15958 #>     obs: 'orig.ident', 'nCount_RNA', 'nFeature_RNA', 'S_score', 'G2M_score', 'nCount_spliced', 'nFeature_spliced', 'nCount_unspliced', 'nFeature_unspliced', 'CellType', 'SubCellType', 'Phase' #>     var: 'features', 'highly_variable_genes', 'highly_variable' #>     obsm: 'PCA', 'UMAP' #>     layers: 'spliced', 'unspliced'  ### Or save as an h5ad file or a loom file # adata$write_h5ad(\"pancreas_sub.h5ad\") # adata$write_loom(\"pancreas_sub.loom\", write_obsm_varm = TRUE)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_blank.html","id":null,"dir":"Reference","previous_headings":"","what":"Blank theme — theme_blank","title":"Blank theme — theme_blank","text":"Blank theme","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_blank.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Blank theme — theme_blank","text":"","code":"theme_blank(   add_coord = TRUE,   xlen_npc = 0.15,   ylen_npc = 0.15,   xlab = \"\",   ylab = \"\",   lab_size = 12,   ... )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_blank.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Blank theme — theme_blank","text":"add_coord Whether add coordinate arrows. Default TRUE. xlen_npc length x-axis arrow \"npc\". ylen_npc length y-axis arrow \"npc\". xlab x-axis label. ylab y-axis label. lab_size Label size. ... Arguments passed theme.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_blank.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Blank theme — theme_blank","text":"","code":"library(ggplot2) p <- ggplot(mtcars, aes(x = wt, y = mpg, colour = factor(cyl))) +   geom_point() p + theme_blank()  p + theme_blank(xlab = \"x-axis\", ylab = \"y-axis\", lab_size = 16)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_sankey.html","id":null,"dir":"Reference","previous_headings":"","what":"sankey_themes — theme_sankey","title":"sankey_themes — theme_sankey","text":"Minimal themes sankey, alluvial sankey bump plots","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_sankey.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"sankey_themes — theme_sankey","text":"","code":"theme_sankey(   base_size = 11,   base_family = \"\",   base_line_size = base_size/22,   base_rect_size = base_size/22 )  theme_alluvial(   base_size = 11,   base_family = \"\",   base_line_size = base_size/22,   base_rect_size = base_size/22 )  theme_sankey_bump(   base_size = 11,   base_family = \"\",   base_line_size = base_size/22,   base_rect_size = base_size/22 )"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_sankey.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"sankey_themes — theme_sankey","text":"base_size base font size, given pts. base_family base font family base_line_size base size line elements base_rect_size base size rect elements","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_scp.html","id":null,"dir":"Reference","previous_headings":"","what":"SCP theme — theme_scp","title":"SCP theme — theme_scp","text":"default theme SCP plot function.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_scp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"SCP theme — theme_scp","text":"","code":"theme_scp(aspect.ratio = NULL, base_size = 12, ...)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_scp.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"SCP theme — theme_scp","text":"aspect.ratio Aspect ratio panel. base_size Base font size ... Arguments passed theme.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/theme_scp.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"SCP theme — theme_scp","text":"","code":"library(ggplot2) p <- ggplot(mtcars, aes(x = wt, y = mpg, colour = factor(cyl))) +   geom_point() p + theme_scp()"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/tochunks.html","id":null,"dir":"Reference","previous_headings":"","what":"Split a vector into the chunks — tochunks","title":"Split a vector into the chunks — tochunks","text":"Split vector chunks","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/tochunks.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Split a vector into the chunks — tochunks","text":"","code":"tochunks(x, nchunks)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/tochunks.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Split a vector into the chunks — tochunks","text":"x vector. nchunks Number chunks.","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/tochunks.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Split a vector into the chunks — tochunks","text":"","code":"x <- 1:10 names(x) <- letters[1:10] tochunks(x, nchunks = 3) #> $`1` #> a b c d  #> 1 2 3 4  #>  #> $`2` #> e f g  #> 5 6 7  #>  #> $`3` #>  h  i  j  #>  8  9 10  #>"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/unnest.html","id":null,"dir":"Reference","previous_headings":"","what":"Implement similar functions to the unnest function in the tidyr package — unnest","title":"Implement similar functions to the unnest function in the tidyr package — unnest","text":"Implement similar functions unnest function tidyr package","code":""},{"path":"https://zhanghao-njmu.github.io/SCP/reference/unnest.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Implement similar functions to the unnest function in the tidyr package — unnest","text":"","code":"unnest(data, cols, keep_empty = FALSE)"},{"path":"https://zhanghao-njmu.github.io/SCP/reference/unnest.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Implement similar functions to the unnest function in the tidyr package — unnest","text":"data data frame. cols Columns unnest. keep_empty default, get one row output element list unchopping/unnesting. means size-0 element (like NULL empty data frame), entire row dropped output. want preserve rows, use keep_empty = TRUE replace size-0 elements single row missing values.","code":""}]